id	sid	tid	token	lemma	pos
ap-5173	1	1	acta	acta	PROPN
ap-5173	1	2	polytechnica	polytechnica	PROPN
ap-5173	1	3	doi:10.14311	doi:10.14311	PROPN
ap-5173	1	4	/	/	SYM
ap-5173	1	5	ap.2019.59.0322	ap.2019.59.0322	PROPN
ap-5173	1	6	acta	acta	PROPN
ap-5173	1	7	polytechnica	polytechnica	PROPN
ap-5173	1	8	59(4):322–351	59(4):322–351	PROPN
ap-5173	1	9	,	,	PUNCT
ap-5173	1	10	2019	2019	NUM
ap-5173	1	11	©	©	PROPN
ap-5173	1	12	czech	czech	PROPN
ap-5173	1	13	technical	technical	PROPN
ap-5173	1	14	university	university	PROPN
ap-5173	1	15	in	in	ADP
ap-5173	1	16	prague	prague	PROPN
ap-5173	1	17	,	,	PUNCT
ap-5173	1	18	2019	2019	NUM
ap-5173	1	19	available	available	ADJ
ap-5173	1	20	online	online	ADV
ap-5173	1	21	at	at	ADP
ap-5173	1	22	https://ojs.cvut.cz/ojs/index.php/ap	https://ojs.cvut.cz/ojs/index.php/ap	PROPN
ap-5173	1	23	a	a	DET
ap-5173	1	24	comparative	comparative	ADJ
ap-5173	1	25	study	study	NOUN
ap-5173	1	26	of	of	ADP
ap-5173	1	27	data	data	NOUN
ap-5173	1	28	-	-	PUNCT
ap-5173	1	29	driven	drive	VERB
ap-5173	1	30	modeling	modeling	NOUN
ap-5173	1	31	methods	method	NOUN
ap-5173	1	32	for	for	ADP
ap-5173	1	33	soft	soft	ADJ
ap-5173	1	34	-	-	PUNCT
ap-5173	1	35	sensing	sensing	NOUN
ap-5173	1	36	in	in	ADP
ap-5173	1	37	underground	underground	ADJ
ap-5173	1	38	coal	coal	NOUN
ap-5173	1	39	gasification	gasification	NOUN
ap-5173	1	40	ján	ján	PROPN
ap-5173	1	41	kačur∗	kačur∗	PROPN
ap-5173	1	42	,	,	PUNCT
ap-5173	1	43	milan	milan	PROPN
ap-5173	1	44	durdán	durdán	PROPN
ap-5173	1	45	,	,	PUNCT
ap-5173	1	46	marek	marek	PROPN
ap-5173	1	47	laciak	laciak	PROPN
ap-5173	1	48	,	,	PUNCT
ap-5173	1	49	patrik	patrik	PROPN
ap-5173	1	50	flegner	flegner	PROPN
ap-5173	1	51	technical	technical	PROPN
ap-5173	1	52	university	university	PROPN
ap-5173	1	53	of	of	ADP
ap-5173	1	54	košice	košice	PROPN
ap-5173	1	55	,	,	PUNCT
ap-5173	1	56	faculty	faculty	NOUN
ap-5173	1	57	berg	berg	PROPN
ap-5173	1	58	,	,	PUNCT
ap-5173	1	59	institute	institute	PROPN
ap-5173	1	60	of	of	ADP
ap-5173	1	61	control	control	NOUN
ap-5173	1	62	and	and	CCONJ
ap-5173	1	63	informatization	informatization	NOUN
ap-5173	1	64	of	of	ADP
ap-5173	1	65	production	production	NOUN
ap-5173	1	66	processes	process	NOUN
ap-5173	1	67	,	,	PUNCT
ap-5173	1	68	němcovej	němcovej	PROPN
ap-5173	1	69	3	3	NUM
ap-5173	1	70	,	,	PUNCT
ap-5173	1	71	040	040	NUM
ap-5173	1	72	01	01	NUM
ap-5173	1	73	košice	košice	NOUN
ap-5173	1	74	,	,	PUNCT
ap-5173	1	75	slovak	slovak	ADJ
ap-5173	1	76	republic	republic	NOUN
ap-5173	1	77	∗	∗	NOUN
ap-5173	1	78	corresponding	correspond	VERB
ap-5173	1	79	author	author	NOUN
ap-5173	1	80	:	:	PUNCT
ap-5173	1	81	jan.kacur@tuke.sk	jan.kacur@tuke.sk	NOUN
ap-5173	1	82	abstract	abstract	ADJ
ap-5173	1	83	.	.	PUNCT
ap-5173	2	1	underground	underground	ADJ
ap-5173	2	2	coal	coal	NOUN
ap-5173	2	3	gasification	gasification	NOUN
ap-5173	2	4	(	(	PUNCT
ap-5173	2	5	ucg	ucg	PROPN
ap-5173	2	6	)	)	PUNCT
ap-5173	2	7	is	be	AUX
ap-5173	2	8	a	a	DET
ap-5173	2	9	technological	technological	ADJ
ap-5173	2	10	process	process	NOUN
ap-5173	2	11	,	,	PUNCT
ap-5173	2	12	which	which	PRON
ap-5173	2	13	converts	convert	VERB
ap-5173	2	14	solid	solid	ADJ
ap-5173	2	15	coal	coal	NOUN
ap-5173	2	16	into	into	ADP
ap-5173	2	17	a	a	DET
ap-5173	2	18	gas	gas	NOUN
ap-5173	2	19	in	in	ADP
ap-5173	2	20	the	the	DET
ap-5173	2	21	underground	underground	NOUN
ap-5173	2	22	,	,	PUNCT
ap-5173	2	23	using	use	VERB
ap-5173	2	24	injected	inject	VERB
ap-5173	2	25	gasification	gasification	NOUN
ap-5173	2	26	agents	agent	NOUN
ap-5173	2	27	.	.	PUNCT
ap-5173	3	1	in	in	ADP
ap-5173	3	2	the	the	DET
ap-5173	3	3	ucg	ucg	PROPN
ap-5173	3	4	process	process	NOUN
ap-5173	3	5	,	,	PUNCT
ap-5173	3	6	a	a	DET
ap-5173	3	7	lot	lot	NOUN
ap-5173	3	8	of	of	ADP
ap-5173	3	9	process	process	NOUN
ap-5173	3	10	variables	variable	NOUN
ap-5173	3	11	can	can	AUX
ap-5173	3	12	be	be	AUX
ap-5173	3	13	measurable	measurable	ADJ
ap-5173	3	14	with	with	ADP
ap-5173	3	15	common	common	ADJ
ap-5173	3	16	measuring	measuring	NOUN
ap-5173	3	17	devices	device	NOUN
ap-5173	3	18	,	,	PUNCT
ap-5173	3	19	but	but	CCONJ
ap-5173	3	20	there	there	PRON
ap-5173	3	21	are	be	VERB
ap-5173	3	22	variables	variable	NOUN
ap-5173	3	23	that	that	PRON
ap-5173	3	24	can	can	AUX
ap-5173	3	25	not	not	PART
ap-5173	3	26	be	be	AUX
ap-5173	3	27	measured	measure	VERB
ap-5173	3	28	so	so	ADV
ap-5173	3	29	easily	easily	ADV
ap-5173	3	30	,	,	PUNCT
ap-5173	3	31	e.g.	e.g.	ADV
ap-5173	3	32	,	,	PUNCT
ap-5173	3	33	the	the	DET
ap-5173	3	34	temperature	temperature	NOUN
ap-5173	3	35	deep	deep	ADV
ap-5173	3	36	underground	underground	ADV
ap-5173	3	37	.	.	PUNCT
ap-5173	4	1	it	it	PRON
ap-5173	4	2	is	be	AUX
ap-5173	4	3	also	also	ADV
ap-5173	4	4	necessary	necessary	ADJ
ap-5173	4	5	to	to	PART
ap-5173	4	6	know	know	VERB
ap-5173	4	7	the	the	DET
ap-5173	4	8	future	future	ADJ
ap-5173	4	9	impact	impact	NOUN
ap-5173	4	10	of	of	ADP
ap-5173	4	11	different	different	ADJ
ap-5173	4	12	control	control	NOUN
ap-5173	4	13	variables	variable	NOUN
ap-5173	4	14	on	on	ADP
ap-5173	4	15	the	the	DET
ap-5173	4	16	syngas	syngas	NOUN
ap-5173	4	17	calorific	calorific	NOUN
ap-5173	4	18	value	value	NOUN
ap-5173	4	19	in	in	ADP
ap-5173	4	20	order	order	NOUN
ap-5173	4	21	to	to	PART
ap-5173	4	22	support	support	VERB
ap-5173	4	23	a	a	DET
ap-5173	4	24	predictive	predictive	ADJ
ap-5173	4	25	control	control	NOUN
ap-5173	4	26	.	.	PUNCT
ap-5173	5	1	this	this	DET
ap-5173	5	2	paper	paper	NOUN
ap-5173	5	3	examines	examine	VERB
ap-5173	5	4	the	the	DET
ap-5173	5	5	possibility	possibility	NOUN
ap-5173	5	6	of	of	ADP
ap-5173	5	7	utilizing	utilize	VERB
ap-5173	5	8	neural	neural	ADJ
ap-5173	5	9	networks	network	NOUN
ap-5173	5	10	,	,	PUNCT
ap-5173	5	11	multivariate	multivariate	VERB
ap-5173	5	12	adaptive	adaptive	ADJ
ap-5173	5	13	regression	regression	NOUN
ap-5173	5	14	splines	spline	NOUN
ap-5173	5	15	and	and	CCONJ
ap-5173	5	16	support	support	VERB
ap-5173	5	17	vector	vector	NOUN
ap-5173	5	18	regression	regression	NOUN
ap-5173	5	19	in	in	ADP
ap-5173	5	20	order	order	NOUN
ap-5173	5	21	to	to	PART
ap-5173	5	22	estimate	estimate	VERB
ap-5173	5	23	the	the	DET
ap-5173	5	24	ucg	ucg	PROPN
ap-5173	5	25	process	process	NOUN
ap-5173	5	26	data	datum	NOUN
ap-5173	5	27	,	,	PUNCT
ap-5173	5	28	i.e.	i.e.	X
ap-5173	5	29	,	,	PUNCT
ap-5173	5	30	syngas	syngas	NOUN
ap-5173	5	31	calorific	calorific	NOUN
ap-5173	5	32	value	value	NOUN
ap-5173	5	33	and	and	CCONJ
ap-5173	5	34	underground	underground	ADJ
ap-5173	5	35	temperature	temperature	NOUN
ap-5173	5	36	.	.	PUNCT
ap-5173	6	1	it	it	PRON
ap-5173	6	2	was	be	AUX
ap-5173	6	3	found	find	VERB
ap-5173	6	4	that	that	SCONJ
ap-5173	6	5	,	,	PUNCT
ap-5173	6	6	during	during	ADP
ap-5173	6	7	the	the	DET
ap-5173	6	8	training	training	NOUN
ap-5173	6	9	with	with	ADP
ap-5173	6	10	the	the	DET
ap-5173	6	11	ucg	ucg	PROPN
ap-5173	6	12	data	data	PROPN
ap-5173	6	13	,	,	PUNCT
ap-5173	6	14	the	the	DET
ap-5173	6	15	svr	svr	PROPN
ap-5173	6	16	and	and	CCONJ
ap-5173	6	17	gaussian	gaussian	ADJ
ap-5173	6	18	kernel	kernel	PROPN
ap-5173	6	19	achieved	achieve	VERB
ap-5173	6	20	the	the	DET
ap-5173	6	21	best	good	ADJ
ap-5173	6	22	results	result	NOUN
ap-5173	6	23	,	,	PUNCT
ap-5173	6	24	but	but	CCONJ
ap-5173	6	25	,	,	PUNCT
ap-5173	6	26	during	during	ADP
ap-5173	6	27	the	the	DET
ap-5173	6	28	prediction	prediction	NOUN
ap-5173	6	29	,	,	PUNCT
ap-5173	6	30	the	the	DET
ap-5173	6	31	best	good	ADJ
ap-5173	6	32	result	result	NOUN
ap-5173	6	33	was	be	AUX
ap-5173	6	34	obtained	obtain	VERB
ap-5173	6	35	by	by	ADP
ap-5173	6	36	the	the	DET
ap-5173	6	37	piecewise	piecewise	NOUN
ap-5173	6	38	-	-	PUNCT
ap-5173	6	39	cubic	cubic	ADJ
ap-5173	6	40	type	type	NOUN
ap-5173	6	41	of	of	ADP
ap-5173	6	42	the	the	DET
ap-5173	6	43	mars	mars	NOUN
ap-5173	6	44	model	model	NOUN
ap-5173	6	45	.	.	PUNCT
ap-5173	7	1	the	the	DET
ap-5173	7	2	analysis	analysis	NOUN
ap-5173	7	3	was	be	AUX
ap-5173	7	4	performed	perform	VERB
ap-5173	7	5	on	on	ADP
ap-5173	7	6	data	datum	NOUN
ap-5173	7	7	obtained	obtain	VERB
ap-5173	7	8	during	during	ADP
ap-5173	7	9	an	an	DET
ap-5173	7	10	experimental	experimental	ADJ
ap-5173	7	11	ucg	ucg	NOUN
ap-5173	7	12	with	with	ADP
ap-5173	7	13	an	an	DET
ap-5173	7	14	ex	ex	ADJ
ap-5173	7	15	-	-	ADJ
ap-5173	7	16	situ	situ	ADJ
ap-5173	7	17	reactor	reactor	NOUN
ap-5173	7	18	.	.	PUNCT
ap-5173	8	1	keywords	keyword	NOUN
ap-5173	8	2	:	:	PUNCT
ap-5173	8	3	underground	underground	ADJ
ap-5173	8	4	coal	coal	NOUN
ap-5173	8	5	gasification	gasification	NOUN
ap-5173	8	6	,	,	PUNCT
ap-5173	8	7	syngas	syngas	NOUN
ap-5173	8	8	calorific	calorific	NOUN
ap-5173	8	9	value	value	NOUN
ap-5173	8	10	,	,	PUNCT
ap-5173	8	11	underground	underground	ADJ
ap-5173	8	12	temperature	temperature	NOUN
ap-5173	8	13	,	,	PUNCT
ap-5173	8	14	time	time	NOUN
ap-5173	8	15	series	series	PROPN
ap-5173	8	16	prediction	prediction	PROPN
ap-5173	8	17	,	,	PUNCT
ap-5173	8	18	machine	machine	NOUN
ap-5173	8	19	learning	learning	NOUN
ap-5173	8	20	,	,	PUNCT
ap-5173	8	21	soft	soft	ADJ
ap-5173	8	22	-	-	PUNCT
ap-5173	8	23	sensing	sensing	NOUN
ap-5173	8	24	.	.	PUNCT
ap-5173	9	1	1	1	X
ap-5173	9	2	.	.	X
ap-5173	9	3	introduction	introduction	NOUN
ap-5173	9	4	1.1	1.1	NUM
ap-5173	9	5	.	.	PUNCT
ap-5173	10	1	understanding	understand	VERB
ap-5173	10	2	ucg	ucg	PROPN
ap-5173	10	3	technology	technology	PROPN
ap-5173	10	4	underground	underground	ADJ
ap-5173	10	5	coal	coal	NOUN
ap-5173	10	6	gasification	gasification	NOUN
ap-5173	10	7	(	(	PUNCT
ap-5173	10	8	ucg	ucg	PROPN
ap-5173	10	9	)	)	PUNCT
ap-5173	10	10	represents	represent	VERB
ap-5173	10	11	an	an	DET
ap-5173	10	12	in	in	ADP
ap-5173	10	13	-	-	PUNCT
ap-5173	10	14	situ	situ	NOUN
ap-5173	10	15	controlled	control	VERB
ap-5173	10	16	combustion	combustion	NOUN
ap-5173	10	17	of	of	ADP
ap-5173	10	18	coal	coal	NOUN
ap-5173	10	19	where	where	SCONJ
ap-5173	10	20	valuable	valuable	ADJ
ap-5173	10	21	gases	gas	NOUN
ap-5173	10	22	(	(	PUNCT
ap-5173	10	23	i.e.	i.e.	X
ap-5173	10	24	,	,	PUNCT
ap-5173	10	25	syngas	syngas	NOUN
ap-5173	10	26	)	)	PUNCT
ap-5173	10	27	are	be	AUX
ap-5173	10	28	produced	produce	VERB
ap-5173	10	29	.	.	PUNCT
ap-5173	11	1	the	the	DET
ap-5173	11	2	ucg	ucg	PROPN
ap-5173	11	3	represents	represent	VERB
ap-5173	11	4	an	an	DET
ap-5173	11	5	alternative	alternative	NOUN
ap-5173	11	6	to	to	ADP
ap-5173	11	7	traditional	traditional	ADJ
ap-5173	11	8	coal	coal	NOUN
ap-5173	11	9	mining	mining	NOUN
ap-5173	11	10	methods	method	NOUN
ap-5173	11	11	.	.	PUNCT
ap-5173	12	1	the	the	DET
ap-5173	12	2	ucg	ucg	PROPN
ap-5173	12	3	allows	allow	VERB
ap-5173	12	4	to	to	PART
ap-5173	12	5	mine	mine	VERB
ap-5173	12	6	coal	coal	NOUN
ap-5173	12	7	from	from	ADP
ap-5173	12	8	deep	deep	ADJ
ap-5173	12	9	coal	coal	NOUN
ap-5173	12	10	seams	seam	NOUN
ap-5173	12	11	,	,	PUNCT
ap-5173	12	12	seams	seam	NOUN
ap-5173	12	13	affected	affect	VERB
ap-5173	12	14	by	by	ADP
ap-5173	12	15	tectonic	tectonic	ADJ
ap-5173	12	16	disturbances	disturbance	NOUN
ap-5173	12	17	,	,	PUNCT
ap-5173	12	18	seams	seam	NOUN
ap-5173	12	19	with	with	ADP
ap-5173	12	20	a	a	DET
ap-5173	12	21	low	low	ADJ
ap-5173	12	22	grade	grade	NOUN
ap-5173	12	23	,	,	PUNCT
ap-5173	12	24	or	or	CCONJ
ap-5173	12	25	seams	seam	NOUN
ap-5173	12	26	that	that	PRON
ap-5173	12	27	have	have	VERB
ap-5173	12	28	a	a	DET
ap-5173	12	29	thin	thin	ADJ
ap-5173	12	30	stratum	stratum	NOUN
ap-5173	12	31	profile	profile	NOUN
ap-5173	12	32	.	.	PUNCT
ap-5173	13	1	various	various	ADJ
ap-5173	13	2	coal	coal	NOUN
ap-5173	13	3	types	type	NOUN
ap-5173	13	4	can	can	AUX
ap-5173	13	5	be	be	AUX
ap-5173	13	6	gasified	gasify	VERB
ap-5173	13	7	,	,	PUNCT
ap-5173	13	8	e.g.	e.g.	ADV
ap-5173	13	9	,	,	PUNCT
ap-5173	13	10	lignite	lignite	ADJ
ap-5173	13	11	or	or	CCONJ
ap-5173	13	12	bituminous	bituminous	ADJ
ap-5173	13	13	.	.	PUNCT
ap-5173	14	1	the	the	DET
ap-5173	14	2	ucg	ucg	PROPN
ap-5173	14	3	offers	offer	VERB
ap-5173	14	4	a	a	DET
ap-5173	14	5	low	low	ADJ
ap-5173	14	6	surface	surface	NOUN
ap-5173	14	7	damage	damage	NOUN
ap-5173	14	8	,	,	PUNCT
ap-5173	14	9	low	low	ADJ
ap-5173	14	10	solid	solid	ADJ
ap-5173	14	11	waste	waste	NOUN
ap-5173	14	12	discharge	discharge	NOUN
ap-5173	14	13	and	and	CCONJ
ap-5173	14	14	lower	low	ADJ
ap-5173	14	15	emissions	emission	NOUN
ap-5173	14	16	of	of	ADP
ap-5173	14	17	so2	so2	PROPN
ap-5173	14	18	,	,	PUNCT
ap-5173	14	19	nox	nox	VERB
ap-5173	14	20	to	to	ADP
ap-5173	14	21	the	the	DET
ap-5173	14	22	air	air	NOUN
ap-5173	14	23	than	than	ADP
ap-5173	14	24	the	the	DET
ap-5173	14	25	traditional	traditional	ADJ
ap-5173	14	26	coal	coal	NOUN
ap-5173	14	27	mining	mining	NOUN
ap-5173	14	28	.	.	PUNCT
ap-5173	15	1	for	for	ADP
ap-5173	15	2	an	an	DET
ap-5173	15	3	industrial	industrial	ADJ
ap-5173	15	4	gasification	gasification	NOUN
ap-5173	15	5	,	,	PUNCT
ap-5173	15	6	at	at	ADP
ap-5173	15	7	least	least	ADV
ap-5173	15	8	two	two	NUM
ap-5173	15	9	boreholes	borehole	NOUN
ap-5173	15	10	should	should	AUX
ap-5173	15	11	be	be	AUX
ap-5173	15	12	drilled	drill	VERB
ap-5173	15	13	(	(	PUNCT
ap-5173	15	14	i.e.	i.e.	X
ap-5173	15	15	,	,	PUNCT
ap-5173	15	16	inlet	inlet	NOUN
ap-5173	15	17	and	and	CCONJ
ap-5173	15	18	outlet	outlet	NOUN
ap-5173	15	19	)	)	PUNCT
ap-5173	15	20	.	.	PUNCT
ap-5173	16	1	inlet	inlet	PROPN
ap-5173	16	2	borehole	borehole	PROPN
ap-5173	16	3	serves	serve	VERB
ap-5173	16	4	as	as	ADP
ap-5173	16	5	a	a	DET
ap-5173	16	6	supply	supply	NOUN
ap-5173	16	7	well	well	ADV
ap-5173	16	8	for	for	ADP
ap-5173	16	9	gasification	gasification	NOUN
ap-5173	16	10	agents	agent	NOUN
ap-5173	16	11	(	(	PUNCT
ap-5173	16	12	i.e.	i.e.	X
ap-5173	16	13	,	,	PUNCT
ap-5173	16	14	air	air	NOUN
ap-5173	16	15	,	,	PUNCT
ap-5173	16	16	oxygen	oxygen	NOUN
ap-5173	16	17	,	,	PUNCT
ap-5173	16	18	and	and	CCONJ
ap-5173	16	19	steam	steam	NOUN
ap-5173	16	20	)	)	PUNCT
ap-5173	16	21	,	,	PUNCT
ap-5173	16	22	and	and	CCONJ
ap-5173	16	23	outlet	outlet	NOUN
ap-5173	16	24	borehole	borehole	PROPN
ap-5173	16	25	as	as	ADP
ap-5173	16	26	the	the	DET
ap-5173	16	27	exhaust	exhaust	NOUN
ap-5173	16	28	of	of	ADP
ap-5173	16	29	the	the	DET
ap-5173	16	30	produced	produce	VERB
ap-5173	16	31	syngas	syngas	NOUN
ap-5173	16	32	.	.	PUNCT
ap-5173	17	1	inlet	inlet	NOUN
ap-5173	17	2	and	and	CCONJ
ap-5173	17	3	outlet	outlet	NOUN
ap-5173	17	4	boreholes	borehole	NOUN
ap-5173	17	5	are	be	AUX
ap-5173	17	6	usually	usually	ADV
ap-5173	17	7	linked	link	VERB
ap-5173	17	8	by	by	ADP
ap-5173	17	9	various	various	ADJ
ap-5173	17	10	methods	method	NOUN
ap-5173	17	11	in	in	ADP
ap-5173	17	12	order	order	NOUN
ap-5173	17	13	to	to	PART
ap-5173	17	14	create	create	VERB
ap-5173	17	15	a	a	DET
ap-5173	17	16	gasification	gasification	NOUN
ap-5173	17	17	channel	channel	NOUN
ap-5173	18	1	[	[	X
ap-5173	18	2	1	1	NUM
ap-5173	18	3	]	]	PUNCT
ap-5173	18	4	.	.	PUNCT
ap-5173	19	1	the	the	DET
ap-5173	19	2	main	main	ADJ
ap-5173	19	3	chemical	chemical	NOUN
ap-5173	19	4	reactions	reaction	NOUN
ap-5173	19	5	that	that	PRON
ap-5173	19	6	occur	occur	VERB
ap-5173	19	7	during	during	ADP
ap-5173	19	8	the	the	DET
ap-5173	19	9	ucg	ucg	NOUN
ap-5173	19	10	are	be	AUX
ap-5173	19	11	drying	dry	VERB
ap-5173	19	12	,	,	PUNCT
ap-5173	19	13	pyrolysis	pyrolysis	NOUN
ap-5173	19	14	,	,	PUNCT
ap-5173	19	15	combustion	combustion	NOUN
ap-5173	19	16	,	,	PUNCT
ap-5173	19	17	and	and	CCONJ
ap-5173	19	18	gasification	gasification	NOUN
ap-5173	19	19	of	of	ADP
ap-5173	19	20	solid	solid	ADJ
ap-5173	19	21	hydrocarbons	hydrocarbon	NOUN
ap-5173	19	22	.	.	PUNCT
ap-5173	20	1	for	for	ADP
ap-5173	20	2	the	the	DET
ap-5173	20	3	improvement	improvement	NOUN
ap-5173	20	4	of	of	ADP
ap-5173	20	5	the	the	DET
ap-5173	20	6	ucg	ucg	NOUN
ap-5173	20	7	,	,	PUNCT
ap-5173	20	8	it	it	PRON
ap-5173	20	9	must	must	AUX
ap-5173	20	10	be	be	AUX
ap-5173	20	11	ensured	ensure	VERB
ap-5173	20	12	that	that	SCONJ
ap-5173	20	13	combustion	combustion	NOUN
ap-5173	20	14	reactions	reaction	NOUN
ap-5173	20	15	produce	produce	VERB
ap-5173	20	16	sufficient	sufficient	ADJ
ap-5173	20	17	energy	energy	NOUN
ap-5173	20	18	for	for	ADP
ap-5173	20	19	the	the	DET
ap-5173	20	20	heating	heating	NOUN
ap-5173	20	21	of	of	ADP
ap-5173	20	22	reactants	reactant	NOUN
ap-5173	20	23	.	.	PUNCT
ap-5173	21	1	it	it	PRON
ap-5173	21	2	is	be	AUX
ap-5173	21	3	also	also	ADV
ap-5173	21	4	necessary	necessary	ADJ
ap-5173	21	5	to	to	PART
ap-5173	21	6	overcome	overcome	VERB
ap-5173	21	7	the	the	DET
ap-5173	21	8	heat	heat	NOUN
ap-5173	21	9	losses	loss	NOUN
ap-5173	21	10	from	from	ADP
ap-5173	21	11	the	the	DET
ap-5173	21	12	georeactor	georeactor	NOUN
ap-5173	21	13	and	and	CCONJ
ap-5173	21	14	to	to	PART
ap-5173	21	15	support	support	VERB
ap-5173	21	16	the	the	DET
ap-5173	21	17	rate	rate	NOUN
ap-5173	21	18	of	of	ADP
ap-5173	21	19	endothermic	endothermic	ADJ
ap-5173	21	20	gasification	gasification	NOUN
ap-5173	21	21	reactions	reaction	NOUN
ap-5173	21	22	[	[	X
ap-5173	21	23	2	2	NUM
ap-5173	21	24	]	]	PUNCT
ap-5173	21	25	.	.	PUNCT
ap-5173	22	1	the	the	DET
ap-5173	22	2	ucg	ucg	PROPN
ap-5173	22	3	is	be	AUX
ap-5173	22	4	performed	perform	VERB
ap-5173	22	5	as	as	ADP
ap-5173	22	6	an	an	DET
ap-5173	22	7	autothermic	autothermic	ADJ
ap-5173	22	8	process	process	NOUN
ap-5173	22	9	where	where	SCONJ
ap-5173	22	10	the	the	DET
ap-5173	22	11	heat	heat	NOUN
ap-5173	22	12	in	in	ADP
ap-5173	22	13	the	the	DET
ap-5173	22	14	coalbed	coalbed	NOUN
ap-5173	22	15	is	be	AUX
ap-5173	22	16	generated	generate	VERB
ap-5173	22	17	by	by	ADP
ap-5173	22	18	an	an	DET
ap-5173	22	19	injection	injection	NOUN
ap-5173	22	20	of	of	ADP
ap-5173	22	21	oxygen	oxygen	NOUN
ap-5173	22	22	from	from	ADP
ap-5173	22	23	the	the	DET
ap-5173	22	24	injection	injection	NOUN
ap-5173	22	25	well	well	ADV
ap-5173	22	26	and	and	CCONJ
ap-5173	22	27	by	by	ADP
ap-5173	22	28	means	mean	NOUN
ap-5173	22	29	of	of	ADP
ap-5173	22	30	combustion	combustion	NOUN
ap-5173	22	31	reactions	reaction	NOUN
ap-5173	22	32	with	with	ADP
ap-5173	22	33	carbon	carbon	NOUN
ap-5173	22	34	.	.	PUNCT
ap-5173	23	1	the	the	DET
ap-5173	23	2	ucg	ucg	PROPN
ap-5173	23	3	essentially	essentially	ADV
ap-5173	23	4	represents	represent	VERB
ap-5173	23	5	the	the	DET
ap-5173	23	6	acquisition	acquisition	NOUN
ap-5173	23	7	of	of	ADP
ap-5173	23	8	a	a	DET
ap-5173	23	9	spatially	spatially	ADV
ap-5173	23	10	and	and	CCONJ
ap-5173	23	11	thermally	thermally	ADV
ap-5173	23	12	decomposed	decompose	VERB
ap-5173	23	13	reaction	reaction	NOUN
ap-5173	23	14	zone	zone	NOUN
ap-5173	23	15	in	in	ADP
ap-5173	23	16	the	the	DET
ap-5173	23	17	coalbed	coalbed	NOUN
ap-5173	23	18	,	,	PUNCT
ap-5173	23	19	which	which	PRON
ap-5173	23	20	overlaps	overlap	VERB
ap-5173	23	21	regions	region	NOUN
ap-5173	23	22	of	of	ADP
ap-5173	23	23	coal	coal	NOUN
ap-5173	23	24	oxidation	oxidation	NOUN
ap-5173	23	25	,	,	PUNCT
ap-5173	23	26	coal	coal	NOUN
ap-5173	23	27	reduction	reduction	NOUN
ap-5173	23	28	,	,	PUNCT
ap-5173	23	29	and	and	CCONJ
ap-5173	23	30	coal	coal	NOUN
ap-5173	23	31	pyrolysis	pyrolysis	NOUN
ap-5173	23	32	.	.	PUNCT
ap-5173	24	1	the	the	DET
ap-5173	24	2	incoming	incoming	ADJ
ap-5173	24	3	air	air	NOUN
ap-5173	24	4	causes	cause	VERB
ap-5173	24	5	that	that	SCONJ
ap-5173	24	6	the	the	DET
ap-5173	24	7	coal	coal	NOUN
ap-5173	24	8	burns	burn	NOUN
ap-5173	24	9	,	,	PUNCT
ap-5173	24	10	the	the	DET
ap-5173	24	11	exothermic	exothermic	ADJ
ap-5173	24	12	process	process	NOUN
ap-5173	24	13	releases	release	VERB
ap-5173	24	14	heat	heat	NOUN
ap-5173	24	15	and	and	CCONJ
ap-5173	24	16	consumes	consume	VERB
ap-5173	24	17	oxygen	oxygen	NOUN
ap-5173	24	18	.	.	PUNCT
ap-5173	25	1	when	when	SCONJ
ap-5173	25	2	coal	coal	NOUN
ap-5173	25	3	is	be	AUX
ap-5173	25	4	heated	heat	VERB
ap-5173	25	5	and	and	CCONJ
ap-5173	25	6	co	co	NOUN
ap-5173	25	7	is	be	AUX
ap-5173	25	8	produced	produce	VERB
ap-5173	25	9	,	,	PUNCT
ap-5173	25	10	the	the	DET
ap-5173	25	11	boudoard	boudoard	NOUN
ap-5173	25	12	chemical	chemical	NOUN
ap-5173	25	13	reactions	reaction	NOUN
ap-5173	25	14	(	(	PUNCT
ap-5173	25	15	i.e.	i.e.	X
ap-5173	25	16	,	,	PUNCT
ap-5173	25	17	co2+c	co2+c	ADJ
ap-5173	25	18	⇒	⇒	PROPN
ap-5173	25	19	2co	2co	NOUN
ap-5173	25	20	)	)	PUNCT
ap-5173	25	21	is	be	AUX
ap-5173	25	22	one	one	NUM
ap-5173	25	23	of	of	ADP
ap-5173	25	24	the	the	DET
ap-5173	25	25	most	most	ADV
ap-5173	25	26	important	important	ADJ
ap-5173	25	27	chemical	chemical	NOUN
ap-5173	25	28	reaction	reaction	NOUN
ap-5173	25	29	.	.	PUNCT
ap-5173	26	1	raw	raw	ADJ
ap-5173	26	2	,	,	PUNCT
ap-5173	26	3	pure	pure	ADJ
ap-5173	26	4	gas	gas	NOUN
ap-5173	26	5	from	from	ADP
ap-5173	26	6	the	the	DET
ap-5173	26	7	ucg	ucg	PROPN
ap-5173	26	8	consists	consist	VERB
ap-5173	26	9	predominantly	predominantly	ADV
ap-5173	26	10	of	of	ADP
ap-5173	26	11	h2	h2	NOUN
ap-5173	26	12	,	,	PUNCT
ap-5173	26	13	co	co	VERB
ap-5173	26	14	,	,	PUNCT
ap-5173	26	15	co2	co2	NOUN
ap-5173	26	16	,	,	PUNCT
ap-5173	26	17	ch4	ch4	PROPN
ap-5173	26	18	,	,	PUNCT
ap-5173	26	19	higher	high	ADJ
ap-5173	26	20	hydrocarbons	hydrocarbon	NOUN
ap-5173	26	21	,	,	PUNCT
ap-5173	26	22	tar	tar	NOUN
ap-5173	26	23	,	,	PUNCT
ap-5173	26	24	impurities	impurity	NOUN
ap-5173	26	25	and	and	CCONJ
ap-5173	26	26	small	small	ADJ
ap-5173	26	27	quantities	quantity	NOUN
ap-5173	26	28	of	of	ADP
ap-5173	26	29	sox	sox	PROPN
ap-5173	26	30	,	,	PUNCT
ap-5173	26	31	nox	nox	NOUN
ap-5173	26	32	,	,	PUNCT
ap-5173	26	33	and	and	CCONJ
ap-5173	26	34	h2s	h2s	NOUN
ap-5173	27	1	[	[	X
ap-5173	27	2	3	3	NUM
ap-5173	27	3	]	]	PUNCT
ap-5173	27	4	.	.	PUNCT
ap-5173	28	1	in	in	ADP
ap-5173	28	2	terms	term	NOUN
ap-5173	28	3	of	of	ADP
ap-5173	28	4	the	the	DET
ap-5173	28	5	calorific	calorific	ADJ
ap-5173	28	6	value	value	NOUN
ap-5173	28	7	,	,	PUNCT
ap-5173	28	8	gases	gas	NOUN
ap-5173	28	9	,	,	PUNCT
ap-5173	28	10	such	such	ADJ
ap-5173	28	11	as	as	ADP
ap-5173	28	12	co	co	NOUN
ap-5173	28	13	,	,	PUNCT
ap-5173	28	14	h2	h2	NOUN
ap-5173	28	15	and	and	CCONJ
ap-5173	28	16	ch4	ch4	PROPN
ap-5173	28	17	,	,	PUNCT
ap-5173	28	18	are	be	AUX
ap-5173	28	19	valuable	valuable	ADJ
ap-5173	28	20	,	,	PUNCT
ap-5173	28	21	but	but	CCONJ
ap-5173	28	22	higher	high	ADJ
ap-5173	28	23	hydrocarbons	hydrocarbon	NOUN
ap-5173	28	24	also	also	ADV
ap-5173	28	25	contribute	contribute	VERB
ap-5173	28	26	to	to	ADP
ap-5173	28	27	the	the	DET
ap-5173	28	28	calorific	calorific	ADJ
ap-5173	28	29	value	value	NOUN
ap-5173	28	30	.	.	PUNCT
ap-5173	29	1	the	the	DET
ap-5173	29	2	syngas	syngas	NOUN
ap-5173	29	3	can	can	AUX
ap-5173	29	4	be	be	AUX
ap-5173	29	5	used	use	VERB
ap-5173	29	6	for	for	ADP
ap-5173	29	7	generating	generate	VERB
ap-5173	29	8	electricity	electricity	NOUN
ap-5173	29	9	,	,	PUNCT
ap-5173	29	10	to	to	PART
ap-5173	29	11	produce	produce	VERB
ap-5173	29	12	synthetic	synthetic	ADJ
ap-5173	29	13	natural	natural	ADJ
ap-5173	29	14	gas	gas	NOUN
ap-5173	29	15	or	or	CCONJ
ap-5173	29	16	various	various	ADJ
ap-5173	29	17	chemical	chemical	NOUN
ap-5173	29	18	products	product	NOUN
ap-5173	29	19	.	.	PUNCT
ap-5173	30	1	1.2	1.2	NUM
ap-5173	30	2	.	.	PUNCT
ap-5173	30	3	measurement	measurement	NOUN
ap-5173	30	4	and	and	CCONJ
ap-5173	30	5	monitoring	monitoring	NOUN
ap-5173	30	6	in	in	ADP
ap-5173	30	7	ucg	ucg	PROPN
ap-5173	30	8	the	the	DET
ap-5173	30	9	efficiency	efficiency	NOUN
ap-5173	30	10	of	of	ADP
ap-5173	30	11	the	the	DET
ap-5173	30	12	coal	coal	NOUN
ap-5173	30	13	-	-	PUNCT
ap-5173	30	14	to	to	ADP
ap-5173	30	15	-	-	PUNCT
ap-5173	30	16	gas	gas	NOUN
ap-5173	30	17	transformation	transformation	NOUN
ap-5173	30	18	depends	depend	VERB
ap-5173	30	19	on	on	ADP
ap-5173	30	20	the	the	DET
ap-5173	30	21	ucg	ucg	PROPN
ap-5173	30	22	monitoring	monitoring	NOUN
ap-5173	30	23	and	and	CCONJ
ap-5173	30	24	control	control	NOUN
ap-5173	30	25	and	and	CCONJ
ap-5173	30	26	the	the	DET
ap-5173	30	27	various	various	ADJ
ap-5173	30	28	coal	coal	NOUN
ap-5173	30	29	seam	seam	NOUN
ap-5173	30	30	parameters	parameter	NOUN
ap-5173	30	31	.	.	PUNCT
ap-5173	31	1	the	the	DET
ap-5173	31	2	main	main	ADJ
ap-5173	31	3	reason	reason	NOUN
ap-5173	31	4	for	for	ADP
ap-5173	31	5	the	the	DET
ap-5173	31	6	ucg	ucg	PROPN
ap-5173	31	7	monitoring	monitoring	NOUN
ap-5173	31	8	is	be	AUX
ap-5173	31	9	operating	operate	VERB
ap-5173	31	10	the	the	DET
ap-5173	31	11	technology	technology	NOUN
ap-5173	31	12	more	more	ADV
ap-5173	31	13	efficiently	efficiently	ADV
ap-5173	31	14	and	and	CCONJ
ap-5173	31	15	increasing	increase	VERB
ap-5173	31	16	the	the	DET
ap-5173	31	17	quality	quality	NOUN
ap-5173	31	18	of	of	ADP
ap-5173	31	19	the	the	DET
ap-5173	31	20	produced	produce	VERB
ap-5173	31	21	gas	gas	NOUN
ap-5173	31	22	,	,	PUNCT
ap-5173	31	23	cost	cost	NOUN
ap-5173	31	24	reduction	reduction	NOUN
ap-5173	31	25	and	and	CCONJ
ap-5173	31	26	to	to	PART
ap-5173	31	27	meet	meet	VERB
ap-5173	31	28	regulatory	regulatory	ADJ
ap-5173	31	29	requirements	requirement	NOUN
ap-5173	31	30	.	.	PUNCT
ap-5173	32	1	monitoring	monitoring	NOUN
ap-5173	32	2	also	also	ADV
ap-5173	32	3	informs	inform	VERB
ap-5173	32	4	about	about	ADP
ap-5173	32	5	the	the	DET
ap-5173	32	6	control	control	NOUN
ap-5173	32	7	decision	decision	NOUN
ap-5173	32	8	effects	effect	NOUN
ap-5173	32	9	,	,	PUNCT
ap-5173	32	10	injection	injection	NOUN
ap-5173	32	11	rates	rate	NOUN
ap-5173	32	12	,	,	PUNCT
ap-5173	32	13	syngas	syngas	NOUN
ap-5173	32	14	composition	composition	NOUN
ap-5173	32	15	,	,	PUNCT
ap-5173	32	16	temperatures	temperature	NOUN
ap-5173	32	17	,	,	PUNCT
ap-5173	32	18	pressures	pressure	NOUN
ap-5173	32	19	,	,	PUNCT
ap-5173	32	20	cavity	cavity	NOUN
ap-5173	32	21	size	size	NOUN
ap-5173	32	22	,	,	PUNCT
ap-5173	32	23	fractures	fracture	NOUN
ap-5173	32	24	,	,	PUNCT
ap-5173	32	25	and	and	CCONJ
ap-5173	32	26	when	when	SCONJ
ap-5173	32	27	to	to	PART
ap-5173	32	28	stop	stop	VERB
ap-5173	32	29	the	the	DET
ap-5173	32	30	gasification	gasification	NOUN
ap-5173	32	31	.	.	PUNCT
ap-5173	33	1	in	in	ADP
ap-5173	33	2	the	the	DET
ap-5173	33	3	ucg	ucg	NOUN
ap-5173	33	4	,	,	PUNCT
ap-5173	33	5	various	various	ADJ
ap-5173	33	6	process	process	NOUN
ap-5173	33	7	variables	variable	NOUN
ap-5173	33	8	can	can	AUX
ap-5173	33	9	be	be	AUX
ap-5173	33	10	monitored	monitor	VERB
ap-5173	33	11	.	.	PUNCT
ap-5173	34	1	these	these	DET
ap-5173	34	2	variables	variable	NOUN
ap-5173	34	3	can	can	AUX
ap-5173	34	4	be	be	AUX
ap-5173	34	5	used	use	VERB
ap-5173	34	6	for	for	ADP
ap-5173	34	7	the	the	DET
ap-5173	34	8	data	data	NOUN
ap-5173	34	9	-	-	PUNCT
ap-5173	34	10	driven	drive	VERB
ap-5173	34	11	322	322	NUM
ap-5173	34	12	https://doi.org/10.14311/ap.2019.59.0322	https://doi.org/10.14311/ap.2019.59.0322	PRON
ap-5173	34	13	https://ojs.cvut.cz/ojs/index.php/ap	https://ojs.cvut.cz/ojs/index.php/ap	PROPN
ap-5173	34	14	vol	vol	NOUN
ap-5173	34	15	.	.	PUNCT
ap-5173	35	1	59	59	NUM
ap-5173	35	2	no	no	NOUN
ap-5173	35	3	.	.	PUNCT
ap-5173	36	1	4/2019	4/2019	NUM
ap-5173	36	2	a	a	DET
ap-5173	36	3	comparative	comparative	ADJ
ap-5173	36	4	study	study	NOUN
ap-5173	36	5	of	of	ADP
ap-5173	36	6	data	data	NOUN
ap-5173	36	7	-	-	PUNCT
ap-5173	36	8	driven	drive	VERB
ap-5173	36	9	modeling	modeling	NOUN
ap-5173	36	10	methods	method	NOUN
ap-5173	36	11	.	.	PUNCT
ap-5173	36	12	.	.	PUNCT
ap-5173	36	13	.	.	PUNCT
ap-5173	37	1	figure	figure	NOUN
ap-5173	37	2	1	1	NUM
ap-5173	37	3	.	.	PUNCT
ap-5173	38	1	scheme	scheme	NOUN
ap-5173	38	2	of	of	ADP
ap-5173	38	3	measurement	measurement	NOUN
ap-5173	38	4	and	and	CCONJ
ap-5173	38	5	control	control	NOUN
ap-5173	38	6	in	in	ADP
ap-5173	38	7	ucg	ucg	PROPN
ap-5173	38	8	.	.	PROPN
ap-5173	38	9	323	323	NUM
ap-5173	38	10	j.	j.	PROPN
ap-5173	38	11	kačur	kačur	PROPN
ap-5173	38	12	,	,	PUNCT
ap-5173	38	13	m.	m.	PROPN
ap-5173	38	14	durdán	durdán	PROPN
ap-5173	38	15	,	,	PUNCT
ap-5173	38	16	m.	m.	NOUN
ap-5173	38	17	laciak	laciak	NOUN
ap-5173	38	18	,	,	PUNCT
ap-5173	38	19	p.	p.	PROPN
ap-5173	38	20	flegner	flegner	PROPN
ap-5173	39	1	acta	acta	PROPN
ap-5173	39	2	polytechnica	polytechnica	PROPN
ap-5173	39	3	modeling	modeling	NOUN
ap-5173	39	4	of	of	ADP
ap-5173	39	5	the	the	DET
ap-5173	39	6	process	process	NOUN
ap-5173	39	7	behaviour	behaviour	NOUN
ap-5173	39	8	.	.	PUNCT
ap-5173	40	1	in	in	ADP
ap-5173	40	2	the	the	DET
ap-5173	40	3	terms	term	NOUN
ap-5173	40	4	of	of	ADP
ap-5173	40	5	the	the	DET
ap-5173	40	6	process	process	NOUN
ap-5173	40	7	control	control	NOUN
ap-5173	40	8	,	,	PUNCT
ap-5173	40	9	it	it	PRON
ap-5173	40	10	is	be	AUX
ap-5173	40	11	needed	need	VERB
ap-5173	40	12	to	to	PART
ap-5173	40	13	monitor	monitor	VERB
ap-5173	40	14	volume	volume	NOUN
ap-5173	40	15	flows	flow	NOUN
ap-5173	40	16	and	and	CCONJ
ap-5173	40	17	pressures	pressure	NOUN
ap-5173	40	18	(	(	PUNCT
ap-5173	40	19	i.e.	i.e.	X
ap-5173	40	20	,	,	PUNCT
ap-5173	40	21	overpressure	overpressure	NOUN
ap-5173	40	22	)	)	PUNCT
ap-5173	40	23	of	of	ADP
ap-5173	40	24	injected	inject	VERB
ap-5173	40	25	oxidizers	oxidizer	NOUN
ap-5173	40	26	(	(	PUNCT
ap-5173	40	27	i.e.	i.e.	X
ap-5173	40	28	,	,	PUNCT
ap-5173	40	29	air	air	NOUN
ap-5173	40	30	,	,	PUNCT
ap-5173	40	31	oxygen	oxygen	NOUN
ap-5173	40	32	,	,	PUNCT
ap-5173	40	33	water	water	NOUN
ap-5173	40	34	vapor	vapor	NOUN
ap-5173	40	35	)	)	PUNCT
ap-5173	40	36	.	.	PUNCT
ap-5173	41	1	on	on	ADP
ap-5173	41	2	the	the	DET
ap-5173	41	3	outlet	outlet	NOUN
ap-5173	41	4	,	,	PUNCT
ap-5173	41	5	the	the	DET
ap-5173	41	6	volume	volume	NOUN
ap-5173	41	7	flow	flow	NOUN
ap-5173	41	8	of	of	ADP
ap-5173	41	9	produced	produce	VERB
ap-5173	41	10	syngas	syngas	NOUN
ap-5173	41	11	and	and	CCONJ
ap-5173	41	12	regulated	regulated	ADJ
ap-5173	41	13	underpressure	underpressure	NOUN
ap-5173	41	14	can	can	AUX
ap-5173	41	15	be	be	AUX
ap-5173	41	16	monitored	monitor	VERB
ap-5173	41	17	.	.	PUNCT
ap-5173	42	1	of	of	ADP
ap-5173	42	2	course	course	ADV
ap-5173	42	3	,	,	PUNCT
ap-5173	42	4	it	it	PRON
ap-5173	42	5	is	be	AUX
ap-5173	42	6	needed	need	VERB
ap-5173	42	7	to	to	PART
ap-5173	42	8	monitor	monitor	VERB
ap-5173	42	9	concentrations	concentration	NOUN
ap-5173	42	10	of	of	ADP
ap-5173	42	11	syngas	syngas	NOUN
ap-5173	42	12	components	component	NOUN
ap-5173	42	13	that	that	PRON
ap-5173	42	14	affect	affect	VERB
ap-5173	42	15	the	the	DET
ap-5173	42	16	calorific	calorific	ADJ
ap-5173	42	17	value	value	NOUN
ap-5173	42	18	(	(	PUNCT
ap-5173	42	19	e.g.	e.g.	ADV
ap-5173	42	20	,	,	PUNCT
ap-5173	42	21	co	co	NOUN
ap-5173	42	22	,	,	PUNCT
ap-5173	42	23	co2	co2	NOUN
ap-5173	42	24	,	,	PUNCT
ap-5173	42	25	ch4	ch4	NOUN
ap-5173	42	26	and	and	CCONJ
ap-5173	42	27	h2	h2	PROPN
ap-5173	42	28	)	)	PUNCT
ap-5173	42	29	.	.	PUNCT
ap-5173	43	1	the	the	DET
ap-5173	43	2	volume	volume	NOUN
ap-5173	43	3	flow	flow	NOUN
ap-5173	43	4	,	,	PUNCT
ap-5173	43	5	pressure	pressure	NOUN
ap-5173	43	6	,	,	PUNCT
ap-5173	43	7	and	and	CCONJ
ap-5173	43	8	composition	composition	NOUN
ap-5173	43	9	of	of	ADP
ap-5173	43	10	injected	inject	VERB
ap-5173	43	11	gasification	gasification	NOUN
ap-5173	43	12	agents	agent	NOUN
ap-5173	43	13	can	can	AUX
ap-5173	43	14	substantially	substantially	ADV
ap-5173	43	15	affect	affect	VERB
ap-5173	43	16	the	the	DET
ap-5173	43	17	composition	composition	NOUN
ap-5173	43	18	of	of	ADP
ap-5173	43	19	the	the	DET
ap-5173	43	20	produced	produce	VERB
ap-5173	43	21	syngas	syngas	NOUN
ap-5173	43	22	[	[	X
ap-5173	43	23	2	2	NUM
ap-5173	43	24	]	]	PUNCT
ap-5173	43	25	.	.	PUNCT
ap-5173	44	1	the	the	DET
ap-5173	44	2	measurement	measurement	NOUN
ap-5173	44	3	of	of	ADP
ap-5173	44	4	the	the	DET
ap-5173	44	5	temperature	temperature	NOUN
ap-5173	44	6	inside	inside	ADP
ap-5173	44	7	oxidizing	oxidize	VERB
ap-5173	44	8	and	and	CCONJ
ap-5173	44	9	reducing	reduce	VERB
ap-5173	44	10	zones	zone	NOUN
ap-5173	44	11	is	be	AUX
ap-5173	44	12	most	most	ADV
ap-5173	44	13	problematic	problematic	ADJ
ap-5173	44	14	.	.	PUNCT
ap-5173	45	1	there	there	PRON
ap-5173	45	2	are	be	VERB
ap-5173	45	3	two	two	NUM
ap-5173	45	4	methods	method	NOUN
ap-5173	45	5	of	of	ADP
ap-5173	45	6	an	an	DET
ap-5173	45	7	indirect	indirect	ADJ
ap-5173	45	8	measurement	measurement	NOUN
ap-5173	45	9	of	of	ADP
ap-5173	45	10	the	the	DET
ap-5173	45	11	underground	underground	ADJ
ap-5173	45	12	temperature	temperature	NOUN
ap-5173	45	13	from	from	ADP
ap-5173	45	14	the	the	DET
ap-5173	45	15	current	current	ADJ
ap-5173	45	16	syngas	syngas	NOUN
ap-5173	45	17	composition	composition	NOUN
ap-5173	45	18	[	[	X
ap-5173	45	19	4	4	NUM
ap-5173	45	20	]	]	PUNCT
ap-5173	45	21	)	)	PUNCT
ap-5173	45	22	or	or	CCONJ
ap-5173	45	23	method	method	NOUN
ap-5173	45	24	based	base	VERB
ap-5173	45	25	on	on	ADP
ap-5173	45	26	rules	rule	NOUN
ap-5173	45	27	of	of	ADP
ap-5173	45	28	heat	heat	NOUN
ap-5173	45	29	transfer	transfer	NOUN
ap-5173	45	30	[	[	X
ap-5173	45	31	5	5	NUM
ap-5173	45	32	,	,	PUNCT
ap-5173	45	33	6	6	NUM
ap-5173	45	34	]	]	PUNCT
ap-5173	45	35	.	.	PUNCT
ap-5173	46	1	recently	recently	ADV
ap-5173	46	2	,	,	PUNCT
ap-5173	46	3	methods	method	NOUN
ap-5173	46	4	of	of	ADP
ap-5173	46	5	monitoring	monitor	VERB
ap-5173	46	6	the	the	DET
ap-5173	46	7	underground	underground	ADJ
ap-5173	46	8	temperature	temperature	NOUN
ap-5173	46	9	by	by	ADP
ap-5173	46	10	measuring	measure	VERB
ap-5173	46	11	carbon	carbon	NOUN
ap-5173	46	12	isotopes	isotope	NOUN
ap-5173	46	13	and	and	CCONJ
ap-5173	46	14	by	by	ADP
ap-5173	46	15	measuring	measure	VERB
ap-5173	46	16	emissions	emission	NOUN
ap-5173	46	17	of	of	ADP
ap-5173	46	18	radon	radon	NOUN
ap-5173	46	19	to	to	ADP
ap-5173	46	20	the	the	DET
ap-5173	46	21	surface	surface	NOUN
ap-5173	46	22	appeared	appear	VERB
ap-5173	46	23	[	[	X
ap-5173	46	24	7	7	NUM
ap-5173	46	25	]	]	PUNCT
ap-5173	46	26	.	.	PUNCT
ap-5173	47	1	figure	figure	NOUN
ap-5173	47	2	1	1	NUM
ap-5173	47	3	presents	present	VERB
ap-5173	47	4	the	the	DET
ap-5173	47	5	basic	basic	ADJ
ap-5173	47	6	scheme	scheme	NOUN
ap-5173	47	7	of	of	ADP
ap-5173	47	8	the	the	DET
ap-5173	47	9	process	process	NOUN
ap-5173	47	10	variables	variable	NOUN
ap-5173	47	11	measurement	measurement	NOUN
ap-5173	47	12	.	.	PUNCT
ap-5173	48	1	1.3	1.3	NUM
ap-5173	48	2	.	.	PUNCT
ap-5173	49	1	modeling	modeling	NOUN
ap-5173	49	2	and	and	CCONJ
ap-5173	49	3	prediction	prediction	NOUN
ap-5173	49	4	in	in	ADP
ap-5173	49	5	ucg	ucg	PROPN
ap-5173	49	6	in	in	ADP
ap-5173	49	7	the	the	DET
ap-5173	49	8	last	last	ADJ
ap-5173	49	9	years	year	NOUN
ap-5173	49	10	,	,	PUNCT
ap-5173	49	11	an	an	DET
ap-5173	49	12	increased	increase	VERB
ap-5173	49	13	demand	demand	NOUN
ap-5173	49	14	for	for	ADP
ap-5173	49	15	an	an	DET
ap-5173	49	16	online	online	ADJ
ap-5173	49	17	and	and	CCONJ
ap-5173	49	18	accurate	accurate	ADJ
ap-5173	49	19	measurement	measurement	NOUN
ap-5173	49	20	of	of	ADP
ap-5173	49	21	some	some	DET
ap-5173	49	22	process	process	NOUN
ap-5173	49	23	variables	variable	NOUN
ap-5173	49	24	that	that	PRON
ap-5173	49	25	can	can	AUX
ap-5173	49	26	not	not	PART
ap-5173	49	27	be	be	AUX
ap-5173	49	28	measured	measure	VERB
ap-5173	49	29	by	by	ADP
ap-5173	49	30	conventional	conventional	ADJ
ap-5173	49	31	methods	method	NOUN
ap-5173	49	32	has	have	AUX
ap-5173	49	33	occurred	occur	VERB
ap-5173	49	34	.	.	PUNCT
ap-5173	50	1	this	this	PRON
ap-5173	50	2	is	be	AUX
ap-5173	50	3	the	the	DET
ap-5173	50	4	measurement	measurement	NOUN
ap-5173	50	5	of	of	ADP
ap-5173	50	6	process	process	NOUN
ap-5173	50	7	variables	variable	NOUN
ap-5173	50	8	in	in	ADP
ap-5173	50	9	an	an	DET
ap-5173	50	10	aggressive	aggressive	ADJ
ap-5173	50	11	(	(	PUNCT
ap-5173	50	12	e.g.	e.g.	ADJ
ap-5173	50	13	,	,	PUNCT
ap-5173	50	14	high	high	ADJ
ap-5173	50	15	temperature	temperature	NOUN
ap-5173	50	16	)	)	PUNCT
ap-5173	50	17	or	or	CCONJ
ap-5173	50	18	physically	physically	ADV
ap-5173	50	19	inaccessible	inaccessible	ADJ
ap-5173	50	20	(	(	PUNCT
ap-5173	50	21	e.g.	e.g.	ADJ
ap-5173	50	22	,	,	PUNCT
ap-5173	50	23	underground	underground	ADJ
ap-5173	50	24	)	)	PUNCT
ap-5173	50	25	environment	environment	NOUN
ap-5173	50	26	.	.	PUNCT
ap-5173	51	1	similarly	similarly	ADV
ap-5173	51	2	,	,	PUNCT
ap-5173	51	3	in	in	ADP
ap-5173	51	4	the	the	DET
ap-5173	51	5	ucg	ucg	NOUN
ap-5173	51	6	,	,	PUNCT
ap-5173	51	7	modelling	modelling	NOUN
ap-5173	51	8	and	and	CCONJ
ap-5173	51	9	prediction	prediction	NOUN
ap-5173	51	10	methods	method	NOUN
ap-5173	51	11	need	need	VERB
ap-5173	51	12	to	to	PART
ap-5173	51	13	be	be	AUX
ap-5173	51	14	applied	apply	VERB
ap-5173	51	15	in	in	ADP
ap-5173	51	16	order	order	NOUN
ap-5173	51	17	to	to	PART
ap-5173	51	18	determine	determine	VERB
ap-5173	51	19	the	the	DET
ap-5173	51	20	process	process	NOUN
ap-5173	51	21	parameters	parameter	NOUN
ap-5173	51	22	when	when	SCONJ
ap-5173	51	23	going	go	VERB
ap-5173	51	24	deep	deep	ADV
ap-5173	51	25	underground	underground	ADV
ap-5173	51	26	.	.	PUNCT
ap-5173	52	1	these	these	DET
ap-5173	52	2	variables	variable	NOUN
ap-5173	52	3	are	be	AUX
ap-5173	52	4	decisive	decisive	ADJ
ap-5173	52	5	in	in	ADP
ap-5173	52	6	increasing	increase	VERB
ap-5173	52	7	the	the	DET
ap-5173	52	8	efficiency	efficiency	NOUN
ap-5173	52	9	and	and	CCONJ
ap-5173	52	10	quality	quality	NOUN
ap-5173	52	11	of	of	ADP
ap-5173	52	12	the	the	DET
ap-5173	52	13	production	production	NOUN
ap-5173	52	14	.	.	PUNCT
ap-5173	53	1	for	for	ADP
ap-5173	53	2	this	this	DET
ap-5173	53	3	reason	reason	NOUN
ap-5173	53	4	,	,	PUNCT
ap-5173	53	5	different	different	ADJ
ap-5173	53	6	predictors	predictor	NOUN
ap-5173	53	7	and	and	CCONJ
ap-5173	53	8	models	model	NOUN
ap-5173	53	9	,	,	PUNCT
ap-5173	53	10	which	which	PRON
ap-5173	53	11	can	can	AUX
ap-5173	53	12	calculate	calculate	VERB
ap-5173	53	13	desired	desire	VERB
ap-5173	53	14	process	process	NOUN
ap-5173	53	15	variables	variable	NOUN
ap-5173	53	16	based	base	VERB
ap-5173	53	17	on	on	ADP
ap-5173	53	18	other	other	ADJ
ap-5173	53	19	observations	observation	NOUN
ap-5173	53	20	,	,	PUNCT
ap-5173	53	21	are	be	AUX
ap-5173	53	22	developed	develop	VERB
ap-5173	53	23	and	and	CCONJ
ap-5173	53	24	applied	apply	VERB
ap-5173	53	25	.	.	PUNCT
ap-5173	54	1	these	these	DET
ap-5173	54	2	models	model	NOUN
ap-5173	54	3	often	often	ADV
ap-5173	54	4	serve	serve	VERB
ap-5173	54	5	as	as	ADP
ap-5173	54	6	support	support	NOUN
ap-5173	54	7	systems	system	NOUN
ap-5173	54	8	for	for	ADP
ap-5173	54	9	the	the	DET
ap-5173	54	10	control	control	NOUN
ap-5173	54	11	of	of	ADP
ap-5173	54	12	the	the	DET
ap-5173	54	13	technological	technological	ADJ
ap-5173	54	14	process	process	NOUN
ap-5173	54	15	.	.	PUNCT
ap-5173	55	1	predictive	predictive	ADJ
ap-5173	55	2	modeling	modeling	NOUN
ap-5173	55	3	usually	usually	ADV
ap-5173	55	4	uses	use	VERB
ap-5173	55	5	statistics	statistic	NOUN
ap-5173	55	6	to	to	PART
ap-5173	55	7	predict	predict	VERB
ap-5173	55	8	the	the	DET
ap-5173	55	9	future	future	ADJ
ap-5173	55	10	behaviour	behaviour	NOUN
ap-5173	55	11	of	of	ADP
ap-5173	55	12	the	the	DET
ap-5173	55	13	process	process	NOUN
ap-5173	55	14	and	and	CCONJ
ap-5173	55	15	is	be	AUX
ap-5173	55	16	often	often	ADV
ap-5173	55	17	associated	associate	VERB
ap-5173	55	18	with	with	ADP
ap-5173	55	19	machine	machine	NOUN
ap-5173	55	20	learning	learning	NOUN
ap-5173	55	21	.	.	PUNCT
ap-5173	56	1	the	the	DET
ap-5173	56	2	most	most	ADV
ap-5173	56	3	popular	popular	ADJ
ap-5173	56	4	are	be	AUX
ap-5173	56	5	methods	method	NOUN
ap-5173	56	6	of	of	ADP
ap-5173	56	7	a	a	DET
ap-5173	56	8	regression	regression	NOUN
ap-5173	56	9	analysis	analysis	NOUN
ap-5173	56	10	where	where	SCONJ
ap-5173	56	11	the	the	DET
ap-5173	56	12	output	output	NOUN
ap-5173	56	13	is	be	AUX
ap-5173	56	14	a	a	DET
ap-5173	56	15	regression	regression	NOUN
ap-5173	56	16	model	model	NOUN
ap-5173	56	17	.	.	PUNCT
ap-5173	57	1	almost	almost	ADV
ap-5173	57	2	every	every	PRON
ap-5173	57	3	regression	regression	NOUN
ap-5173	57	4	model	model	NOUN
ap-5173	57	5	can	can	AUX
ap-5173	57	6	serve	serve	VERB
ap-5173	57	7	for	for	ADP
ap-5173	57	8	the	the	DET
ap-5173	57	9	prediction	prediction	NOUN
ap-5173	57	10	.	.	PUNCT
ap-5173	58	1	some	some	DET
ap-5173	58	2	primordial	primordial	ADJ
ap-5173	58	3	regression	regression	NOUN
ap-5173	58	4	analyses	analysis	NOUN
ap-5173	58	5	of	of	ADP
ap-5173	58	6	the	the	DET
ap-5173	58	7	ucg	ucg	NOUN
ap-5173	58	8	were	be	AUX
ap-5173	58	9	previously	previously	ADV
ap-5173	58	10	performed	perform	VERB
ap-5173	58	11	in	in	ADP
ap-5173	58	12	[	[	X
ap-5173	58	13	8	8	NUM
ap-5173	58	14	]	]	PUNCT
ap-5173	58	15	.	.	PUNCT
ap-5173	59	1	the	the	DET
ap-5173	59	2	time	time	NOUN
ap-5173	59	3	series	series	PROPN
ap-5173	59	4	prediction	prediction	NOUN
ap-5173	59	5	is	be	AUX
ap-5173	59	6	a	a	DET
ap-5173	59	7	challenging	challenging	ADJ
ap-5173	59	8	research	research	NOUN
ap-5173	59	9	area	area	NOUN
ap-5173	59	10	with	with	ADP
ap-5173	59	11	broad	broad	ADJ
ap-5173	59	12	application	application	NOUN
ap-5173	59	13	prospects	prospect	NOUN
ap-5173	59	14	.	.	PUNCT
ap-5173	60	1	the	the	DET
ap-5173	60	2	softsensing	softsense	VERB
ap-5173	60	3	methods	method	NOUN
ap-5173	60	4	for	for	ADP
ap-5173	60	5	the	the	DET
ap-5173	60	6	data	data	NOUN
ap-5173	60	7	estimation	estimation	NOUN
ap-5173	60	8	and	and	CCONJ
ap-5173	60	9	prediction	prediction	NOUN
ap-5173	60	10	are	be	AUX
ap-5173	60	11	widely	widely	ADV
ap-5173	60	12	used	use	VERB
ap-5173	60	13	in	in	ADP
ap-5173	60	14	the	the	DET
ap-5173	60	15	industry	industry	NOUN
ap-5173	60	16	.	.	PUNCT
ap-5173	61	1	various	various	ADJ
ap-5173	61	2	approaches	approach	NOUN
ap-5173	61	3	to	to	ADP
ap-5173	61	4	modelling	modelling	NOUN
ap-5173	61	5	and	and	CCONJ
ap-5173	61	6	data	datum	NOUN
ap-5173	61	7	prediction	prediction	NOUN
ap-5173	61	8	have	have	AUX
ap-5173	61	9	been	be	AUX
ap-5173	61	10	explored	explore	VERB
ap-5173	61	11	in	in	ADP
ap-5173	61	12	the	the	DET
ap-5173	61	13	world	world	NOUN
ap-5173	61	14	.	.	PUNCT
ap-5173	62	1	unfortunately	unfortunately	ADV
ap-5173	62	2	,	,	PUNCT
ap-5173	62	3	there	there	PRON
ap-5173	62	4	is	be	VERB
ap-5173	62	5	only	only	ADV
ap-5173	62	6	scarce	scarce	ADJ
ap-5173	62	7	evidence	evidence	NOUN
ap-5173	62	8	of	of	ADP
ap-5173	62	9	the	the	DET
ap-5173	62	10	ucg	ucg	PROPN
ap-5173	62	11	models	model	NOUN
ap-5173	62	12	oriented	orient	VERB
ap-5173	62	13	for	for	ADP
ap-5173	62	14	process	process	NOUN
ap-5173	62	15	control	control	NOUN
ap-5173	62	16	and	and	CCONJ
ap-5173	62	17	soft	soft	ADJ
ap-5173	62	18	-	-	PUNCT
ap-5173	62	19	sensing	sensing	NOUN
ap-5173	62	20	.	.	PUNCT
ap-5173	63	1	soft	soft	ADJ
ap-5173	63	2	sensors	sensor	NOUN
ap-5173	63	3	based	base	VERB
ap-5173	63	4	on	on	ADP
ap-5173	63	5	data	data	NOUN
ap-5173	63	6	-	-	PUNCT
ap-5173	63	7	driven	drive	VERB
ap-5173	63	8	predictive	predictive	ADJ
ap-5173	63	9	modelling	modelling	NOUN
ap-5173	63	10	are	be	AUX
ap-5173	63	11	very	very	ADV
ap-5173	63	12	useful	useful	ADJ
ap-5173	63	13	in	in	ADP
ap-5173	63	14	industry	industry	NOUN
ap-5173	63	15	,	,	PUNCT
ap-5173	63	16	especially	especially	ADV
ap-5173	63	17	in	in	ADP
ap-5173	63	18	operations	operation	NOUN
ap-5173	63	19	where	where	SCONJ
ap-5173	63	20	important	important	ADJ
ap-5173	63	21	process	process	NOUN
ap-5173	63	22	variables	variable	NOUN
ap-5173	63	23	can	can	AUX
ap-5173	63	24	not	not	PART
ap-5173	63	25	be	be	AUX
ap-5173	63	26	measured	measure	VERB
ap-5173	63	27	directly	directly	ADV
ap-5173	63	28	by	by	ADP
ap-5173	63	29	a	a	DET
ap-5173	63	30	conventional	conventional	ADJ
ap-5173	63	31	hardware	hardware	NOUN
ap-5173	63	32	.	.	PUNCT
ap-5173	64	1	soft	soft	ADJ
ap-5173	64	2	sensors	sensor	NOUN
ap-5173	64	3	use	use	VERB
ap-5173	64	4	various	various	ADJ
ap-5173	64	5	models	model	NOUN
ap-5173	64	6	that	that	PRON
ap-5173	64	7	enable	enable	VERB
ap-5173	64	8	real	real	ADJ
ap-5173	64	9	-	-	PUNCT
ap-5173	64	10	time	time	NOUN
ap-5173	64	11	estimating	estimating	NOUN
ap-5173	64	12	process	process	NOUN
ap-5173	64	13	variables	variable	NOUN
ap-5173	64	14	without	without	ADP
ap-5173	64	15	a	a	DET
ap-5173	64	16	hardware	hardware	NOUN
ap-5173	64	17	sensor	sensor	NOUN
ap-5173	64	18	.	.	PUNCT
ap-5173	65	1	they	they	PRON
ap-5173	65	2	can	can	AUX
ap-5173	65	3	provide	provide	VERB
ap-5173	65	4	less	less	ADV
ap-5173	65	5	expensive	expensive	ADJ
ap-5173	65	6	and	and	CCONJ
ap-5173	65	7	quicker	quick	ADJ
ap-5173	65	8	process	process	NOUN
ap-5173	65	9	data	datum	NOUN
ap-5173	65	10	than	than	ADP
ap-5173	65	11	slow	slow	ADJ
ap-5173	65	12	and	and	CCONJ
ap-5173	65	13	costly	costly	ADJ
ap-5173	65	14	hardware	hardware	NOUN
ap-5173	65	15	devices	device	NOUN
ap-5173	65	16	.	.	PUNCT
ap-5173	66	1	however	however	ADV
ap-5173	66	2	,	,	PUNCT
ap-5173	66	3	the	the	DET
ap-5173	66	4	soft	soft	ADJ
ap-5173	66	5	sensors	sensor	NOUN
ap-5173	66	6	can	can	AUX
ap-5173	66	7	be	be	AUX
ap-5173	66	8	run	run	VERB
ap-5173	66	9	in	in	ADP
ap-5173	66	10	parallel	parallel	NOUN
ap-5173	66	11	with	with	ADP
ap-5173	66	12	the	the	DET
ap-5173	66	13	hardware	hardware	NOUN
ap-5173	66	14	devices	device	NOUN
ap-5173	66	15	for	for	ADP
ap-5173	66	16	the	the	DET
ap-5173	66	17	measurement	measurement	NOUN
ap-5173	66	18	[	[	X
ap-5173	66	19	9	9	NUM
ap-5173	66	20	]	]	PUNCT
ap-5173	66	21	.	.	PUNCT
ap-5173	67	1	well	well	ADV
ap-5173	67	2	-	-	PUNCT
ap-5173	67	3	known	know	VERB
ap-5173	67	4	software	software	NOUN
ap-5173	67	5	algorithms	algorithm	NOUN
ap-5173	67	6	that	that	PRON
ap-5173	67	7	can	can	AUX
ap-5173	67	8	be	be	AUX
ap-5173	67	9	seen	see	VERB
ap-5173	67	10	as	as	ADP
ap-5173	67	11	soft	soft	ADJ
ap-5173	67	12	sensors	sensor	NOUN
ap-5173	67	13	include	include	VERB
ap-5173	67	14	kalman	kalman	NOUN
ap-5173	67	15	filters	filter	NOUN
ap-5173	67	16	.	.	PUNCT
ap-5173	68	1	more	more	ADV
ap-5173	68	2	recent	recent	ADJ
ap-5173	68	3	implementations	implementation	NOUN
ap-5173	68	4	of	of	ADP
ap-5173	68	5	soft	soft	ADJ
ap-5173	68	6	sensors	sensor	NOUN
ap-5173	68	7	in	in	ADP
ap-5173	68	8	the	the	DET
ap-5173	68	9	ucg	ucg	PROPN
ap-5173	68	10	use	use	VERB
ap-5173	68	11	neural	neural	ADJ
ap-5173	68	12	network	network	NOUN
ap-5173	68	13	(	(	PUNCT
ap-5173	68	14	nn	nn	NOUN
ap-5173	68	15	)	)	PUNCT
ap-5173	68	16	or	or	CCONJ
ap-5173	68	17	fuzzy	fuzzy	ADJ
ap-5173	68	18	computing	computing	NOUN
ap-5173	68	19	.	.	PUNCT
ap-5173	69	1	unfortunately	unfortunately	ADV
ap-5173	69	2	,	,	PUNCT
ap-5173	69	3	there	there	PRON
ap-5173	69	4	is	be	VERB
ap-5173	69	5	only	only	ADV
ap-5173	69	6	scarce	scarce	ADJ
ap-5173	69	7	evidence	evidence	NOUN
ap-5173	69	8	of	of	ADP
ap-5173	69	9	using	use	VERB
ap-5173	69	10	the	the	DET
ap-5173	69	11	machine	machine	NOUN
ap-5173	69	12	learning	learning	NOUN
ap-5173	69	13	methods	method	NOUN
ap-5173	69	14	for	for	ADP
ap-5173	69	15	a	a	DET
ap-5173	69	16	prediction	prediction	NOUN
ap-5173	69	17	of	of	ADP
ap-5173	69	18	the	the	DET
ap-5173	69	19	underground	underground	ADJ
ap-5173	69	20	temperature	temperature	NOUN
ap-5173	69	21	,	,	PUNCT
ap-5173	69	22	syngas	syngas	NOUN
ap-5173	69	23	calorific	calorific	NOUN
ap-5173	69	24	value	value	NOUN
ap-5173	69	25	or	or	CCONJ
ap-5173	69	26	syngas	syngas	NOUN
ap-5173	69	27	composition	composition	NOUN
ap-5173	69	28	in	in	ADP
ap-5173	69	29	the	the	DET
ap-5173	69	30	ucg	ucg	PROPN
ap-5173	69	31	.	.	PUNCT
ap-5173	70	1	for	for	ADP
ap-5173	70	2	example	example	NOUN
ap-5173	70	3	,	,	PUNCT
ap-5173	70	4	ji	ji	PROPN
ap-5173	70	5	and	and	CCONJ
ap-5173	70	6	shi	shi	PROPN
ap-5173	71	1	[	[	X
ap-5173	71	2	10	10	NUM
ap-5173	71	3	]	]	PUNCT
ap-5173	71	4	have	have	AUX
ap-5173	71	5	used	use	VERB
ap-5173	71	6	a	a	DET
ap-5173	71	7	hybrid	hybrid	ADJ
ap-5173	71	8	radial	radial	ADJ
ap-5173	71	9	basis	basis	NOUN
ap-5173	71	10	function	function	NOUN
ap-5173	71	11	(	(	PUNCT
ap-5173	71	12	rbf	rbf	PROPN
ap-5173	71	13	)	)	PUNCT
ap-5173	71	14	nn	nn	PROPN
ap-5173	71	15	as	as	ADP
ap-5173	71	16	a	a	DET
ap-5173	71	17	learning	learning	NOUN
ap-5173	71	18	scheme	scheme	NOUN
ap-5173	71	19	for	for	ADP
ap-5173	71	20	the	the	DET
ap-5173	71	21	temperature	temperature	NOUN
ap-5173	71	22	prediction	prediction	NOUN
ap-5173	71	23	of	of	ADP
ap-5173	71	24	texaco	texaco	PROPN
ap-5173	71	25	gasifier	gasifier	NOUN
ap-5173	71	26	.	.	PUNCT
ap-5173	72	1	in	in	ADP
ap-5173	72	2	order	order	NOUN
ap-5173	72	3	to	to	PART
ap-5173	72	4	increase	increase	VERB
ap-5173	72	5	the	the	DET
ap-5173	72	6	performance	performance	NOUN
ap-5173	72	7	of	of	ADP
ap-5173	72	8	the	the	DET
ap-5173	72	9	nn	nn	PROPN
ap-5173	72	10	,	,	PUNCT
ap-5173	72	11	the	the	DET
ap-5173	72	12	number	number	NOUN
ap-5173	72	13	of	of	ADP
ap-5173	72	14	hidden	hide	VERB
ap-5173	72	15	neurons	neuron	NOUN
ap-5173	72	16	was	be	AUX
ap-5173	72	17	determined	determine	VERB
ap-5173	72	18	by	by	ADP
ap-5173	72	19	a	a	DET
ap-5173	72	20	fuzzy	fuzzy	ADJ
ap-5173	72	21	c	c	NOUN
ap-5173	72	22	-	-	PUNCT
ap-5173	72	23	means	means	NOUN
ap-5173	72	24	algorithm	algorithm	NOUN
ap-5173	72	25	and	and	CCONJ
ap-5173	72	26	particle	particle	NOUN
ap-5173	72	27	swarm	swarm	NOUN
ap-5173	72	28	optimization	optimization	NOUN
ap-5173	72	29	algorithm	algorithm	NOUN
ap-5173	72	30	.	.	PUNCT
ap-5173	73	1	recently	recently	ADV
ap-5173	73	2	,	,	PUNCT
ap-5173	73	3	uppal	uppal	PROPN
ap-5173	73	4	et	et	PROPN
ap-5173	73	5	al	al	PROPN
ap-5173	73	6	.	.	PUNCT
ap-5173	74	1	[	[	X
ap-5173	74	2	11–13	11–13	NUM
ap-5173	74	3	]	]	PUNCT
ap-5173	74	4	have	have	AUX
ap-5173	74	5	proposed	propose	VERB
ap-5173	74	6	a	a	DET
ap-5173	74	7	control	control	NOUN
ap-5173	74	8	oriented	orient	VERB
ap-5173	74	9	one	one	NUM
ap-5173	74	10	dimensional	dimensional	ADJ
ap-5173	74	11	packed	pack	VERB
ap-5173	74	12	bed	bed	NOUN
ap-5173	74	13	model	model	NOUN
ap-5173	74	14	of	of	ADP
ap-5173	74	15	the	the	DET
ap-5173	74	16	ucg	ucg	PROPN
ap-5173	74	17	for	for	ADP
ap-5173	74	18	an	an	DET
ap-5173	74	19	estimation	estimation	NOUN
ap-5173	74	20	of	of	ADP
ap-5173	74	21	the	the	DET
ap-5173	74	22	syngas	syngas	NOUN
ap-5173	74	23	composition	composition	NOUN
ap-5173	74	24	.	.	PUNCT
ap-5173	75	1	this	this	DET
ap-5173	75	2	model	model	NOUN
ap-5173	75	3	works	work	VERB
ap-5173	75	4	with	with	ADP
ap-5173	75	5	a	a	DET
ap-5173	75	6	connection	connection	NOUN
ap-5173	75	7	to	to	ADP
ap-5173	75	8	the	the	DET
ap-5173	75	9	sliding	slide	VERB
ap-5173	75	10	mode	mode	NOUN
ap-5173	75	11	controller	controller	NOUN
ap-5173	75	12	to	to	PART
ap-5173	75	13	maintain	maintain	VERB
ap-5173	75	14	the	the	DET
ap-5173	75	15	desired	desire	VERB
ap-5173	75	16	syngas	syngas	NOUN
ap-5173	75	17	calorific	calorific	NOUN
ap-5173	75	18	value	value	NOUN
ap-5173	75	19	.	.	PUNCT
ap-5173	76	1	learning	learn	VERB
ap-5173	76	2	schemes	scheme	NOUN
ap-5173	76	3	for	for	ADP
ap-5173	76	4	the	the	DET
ap-5173	76	5	coal	coal	NOUN
ap-5173	76	6	gasification	gasification	NOUN
ap-5173	76	7	to	to	PART
ap-5173	76	8	support	support	VERB
ap-5173	76	9	the	the	DET
ap-5173	76	10	process	process	NOUN
ap-5173	76	11	control	control	NOUN
ap-5173	76	12	can	can	AUX
ap-5173	76	13	also	also	ADV
ap-5173	76	14	be	be	AUX
ap-5173	76	15	found	find	VERB
ap-5173	76	16	in	in	ADP
ap-5173	76	17	[	[	X
ap-5173	76	18	14	14	NUM
ap-5173	76	19	]	]	PUNCT
ap-5173	76	20	.	.	PUNCT
ap-5173	77	1	multiple	multiple	ADJ
ap-5173	77	2	neural	neural	ADJ
ap-5173	77	3	network	network	NOUN
ap-5173	77	4	(	(	PUNCT
ap-5173	77	5	mnn	mnn	PROPN
ap-5173	77	6	)	)	PUNCT
ap-5173	77	7	for	for	ADP
ap-5173	77	8	the	the	DET
ap-5173	77	9	syngas	syngas	NOUN
ap-5173	77	10	composition	composition	NOUN
ap-5173	77	11	prediction	prediction	NOUN
ap-5173	77	12	and	and	CCONJ
ap-5173	77	13	dynamic	dynamic	ADJ
ap-5173	77	14	principal	principal	ADJ
ap-5173	77	15	component	component	NOUN
ap-5173	77	16	analysis	analysis	NOUN
ap-5173	77	17	was	be	AUX
ap-5173	77	18	proposed	propose	VERB
ap-5173	77	19	in	in	ADP
ap-5173	77	20	[	[	X
ap-5173	77	21	15	15	NUM
ap-5173	77	22	]	]	PUNCT
ap-5173	77	23	.	.	PUNCT
ap-5173	78	1	other	other	ADJ
ap-5173	78	2	researchers	researcher	NOUN
ap-5173	78	3	,	,	PUNCT
ap-5173	78	4	e.g.	e.g.	ADV
ap-5173	78	5	,	,	PUNCT
ap-5173	78	6	guo	guo	PROPN
ap-5173	78	7	et	et	PROPN
ap-5173	78	8	al	al	PROPN
ap-5173	78	9	.	.	PUNCT
ap-5173	79	1	[	[	X
ap-5173	79	2	16	16	NUM
ap-5173	79	3	]	]	PUNCT
ap-5173	79	4	have	have	AUX
ap-5173	79	5	modeled	model	VERB
ap-5173	79	6	coal	coal	NOUN
ap-5173	79	7	gasification	gasification	NOUN
ap-5173	79	8	with	with	ADP
ap-5173	79	9	a	a	DET
ap-5173	79	10	hybrid	hybrid	ADJ
ap-5173	79	11	nn	nn	PROPN
ap-5173	79	12	.	.	PROPN
ap-5173	79	13	a	a	DET
ap-5173	79	14	model	model	NOUN
ap-5173	79	15	of	of	ADP
ap-5173	79	16	a	a	DET
ap-5173	79	17	coal	coal	NOUN
ap-5173	79	18	gasification	gasification	NOUN
ap-5173	79	19	was	be	AUX
ap-5173	79	20	developed	develop	VERB
ap-5173	79	21	,	,	PUNCT
ap-5173	79	22	incorporating	incorporate	VERB
ap-5173	79	23	a	a	DET
ap-5173	79	24	first	first	ADJ
ap-5173	79	25	-	-	PUNCT
ap-5173	79	26	principles	principle	NOUN
ap-5173	79	27	model	model	NOUN
ap-5173	79	28	with	with	ADP
ap-5173	79	29	an	an	DET
ap-5173	79	30	nn	nn	PROPN
ap-5173	79	31	parameter	parameter	PROPN
ap-5173	79	32	estimator	estimator	NOUN
ap-5173	79	33	.	.	PUNCT
ap-5173	80	1	the	the	DET
ap-5173	80	2	hybrid	hybrid	PROPN
ap-5173	80	3	nn	nn	PROPN
ap-5173	80	4	was	be	AUX
ap-5173	80	5	trained	train	VERB
ap-5173	80	6	with	with	ADP
ap-5173	80	7	experimental	experimental	ADJ
ap-5173	80	8	data	datum	NOUN
ap-5173	80	9	for	for	ADP
ap-5173	80	10	the	the	DET
ap-5173	80	11	two	two	NUM
ap-5173	80	12	coals	coal	NOUN
ap-5173	80	13	and	and	CCONJ
ap-5173	80	14	gave	give	VERB
ap-5173	80	15	a	a	DET
ap-5173	80	16	good	good	ADJ
ap-5173	80	17	performance	performance	NOUN
ap-5173	80	18	in	in	ADP
ap-5173	80	19	the	the	DET
ap-5173	80	20	process	process	NOUN
ap-5173	80	21	modeling	modeling	NOUN
ap-5173	80	22	.	.	PUNCT
ap-5173	81	1	other	other	ADJ
ap-5173	81	2	effective	effective	ADJ
ap-5173	81	3	methods	method	NOUN
ap-5173	81	4	have	have	AUX
ap-5173	81	5	also	also	ADV
ap-5173	81	6	been	be	AUX
ap-5173	81	7	applied	apply	VERB
ap-5173	81	8	to	to	ADP
ap-5173	81	9	the	the	DET
ap-5173	81	10	gasification	gasification	NOUN
ap-5173	81	11	.	.	PUNCT
ap-5173	82	1	liu	liu	PROPN
ap-5173	82	2	et	et	PROPN
ap-5173	82	3	al	al	PROPN
ap-5173	82	4	.	.	PUNCT
ap-5173	83	1	[	[	X
ap-5173	83	2	17	17	NUM
ap-5173	83	3	]	]	PUNCT
ap-5173	83	4	have	have	AUX
ap-5173	83	5	proposed	propose	VERB
ap-5173	83	6	a	a	DET
ap-5173	83	7	datadriven	datadriven	ADJ
ap-5173	83	8	modeling	modeling	NOUN
ap-5173	83	9	for	for	ADP
ap-5173	83	10	fixed	fix	VERB
ap-5173	83	11	-	-	PUNCT
ap-5173	83	12	bed	bed	NOUN
ap-5173	83	13	intermittent	intermittent	ADJ
ap-5173	83	14	gasification	gasification	NOUN
ap-5173	83	15	processes	process	NOUN
ap-5173	83	16	inside	inside	ADP
ap-5173	83	17	ugi	ugi	NOUN
ap-5173	83	18	gasifiers	gasifier	NOUN
ap-5173	83	19	by	by	ADP
ap-5173	83	20	an	an	DET
ap-5173	83	21	enhanced	enhance	VERB
ap-5173	83	22	lazy	lazy	ADJ
ap-5173	83	23	learning	learning	NOUN
ap-5173	83	24	combined	combine	VERB
ap-5173	83	25	with	with	ADP
ap-5173	83	26	a	a	DET
ap-5173	83	27	relevance	relevance	NOUN
ap-5173	83	28	vector	vector	NOUN
ap-5173	83	29	machine	machine	NOUN
ap-5173	83	30	.	.	PUNCT
ap-5173	84	1	authors	author	NOUN
ap-5173	84	2	have	have	AUX
ap-5173	84	3	used	use	VERB
ap-5173	84	4	the	the	DET
ap-5173	84	5	bayesian	bayesian	NOUN
ap-5173	84	6	learning	learn	VERB
ap-5173	84	7	framework	framework	NOUN
ap-5173	84	8	for	for	ADP
ap-5173	84	9	the	the	DET
ap-5173	84	10	modeling	modeling	NOUN
ap-5173	84	11	gasifier	gasifier	NOUN
ap-5173	84	12	’s	’s	PART
ap-5173	84	13	temperature	temperature	NOUN
ap-5173	84	14	.	.	PUNCT
ap-5173	85	1	the	the	DET
ap-5173	85	2	effectiveness	effectiveness	NOUN
ap-5173	85	3	of	of	ADP
ap-5173	85	4	the	the	DET
ap-5173	85	5	enhanced	enhance	VERB
ap-5173	85	6	lazy	lazy	ADJ
ap-5173	85	7	learning	learning	NOUN
ap-5173	85	8	approach	approach	NOUN
ap-5173	85	9	combined	combine	VERB
ap-5173	85	10	with	with	ADP
ap-5173	85	11	the	the	DET
ap-5173	85	12	relevance	relevance	NOUN
ap-5173	85	13	vector	vector	NOUN
ap-5173	85	14	machine	machine	NOUN
ap-5173	85	15	for	for	ADP
ap-5173	85	16	the	the	DET
ap-5173	85	17	modelling	modelling	NOUN
ap-5173	85	18	of	of	ADP
ap-5173	85	19	the	the	DET
ap-5173	85	20	ugi	ugi	PROPN
ap-5173	85	21	gasification	gasification	NOUN
ap-5173	85	22	processes	process	NOUN
ap-5173	85	23	has	have	AUX
ap-5173	85	24	been	be	AUX
ap-5173	85	25	verified	verify	VERB
ap-5173	85	26	by	by	ADP
ap-5173	85	27	a	a	DET
ap-5173	85	28	series	series	NOUN
ap-5173	85	29	of	of	ADP
ap-5173	85	30	experiments	experiment	NOUN
ap-5173	85	31	based	base	VERB
ap-5173	85	32	on	on	ADP
ap-5173	85	33	the	the	DET
ap-5173	85	34	data	datum	NOUN
ap-5173	85	35	collected	collect	VERB
ap-5173	85	36	from	from	ADP
ap-5173	85	37	practical	practical	ADJ
ap-5173	85	38	fields	field	NOUN
ap-5173	85	39	.	.	PUNCT
ap-5173	86	1	similarly	similarly	ADV
ap-5173	86	2	,	,	PUNCT
ap-5173	86	3	for	for	ADP
ap-5173	86	4	the	the	DET
ap-5173	86	5	same	same	ADJ
ap-5173	86	6	problem	problem	NOUN
ap-5173	86	7	of	of	ADP
ap-5173	86	8	the	the	DET
ap-5173	86	9	data	data	NOUN
ap-5173	86	10	-	-	PUNCT
ap-5173	86	11	driven	drive	VERB
ap-5173	86	12	modeling	modeling	NOUN
ap-5173	86	13	for	for	ADP
ap-5173	86	14	the	the	DET
ap-5173	86	15	ugi	ugi	PROPN
ap-5173	86	16	gasification	gasification	NOUN
ap-5173	86	17	process	process	NOUN
ap-5173	86	18	,	,	PUNCT
ap-5173	86	19	a	a	DET
ap-5173	86	20	variable	variable	ADJ
ap-5173	86	21	structure	structure	NOUN
ap-5173	86	22	of	of	ADP
ap-5173	86	23	a	a	DET
ap-5173	86	24	genetic	genetic	ADJ
ap-5173	86	25	bp	bp	PROPN
ap-5173	86	26	nn	nn	PROPN
ap-5173	86	27	was	be	AUX
ap-5173	86	28	used	use	VERB
ap-5173	86	29	in	in	ADP
ap-5173	86	30	[	[	X
ap-5173	86	31	17	17	NUM
ap-5173	86	32	]	]	PUNCT
ap-5173	86	33	.	.	PUNCT
ap-5173	87	1	the	the	DET
ap-5173	87	2	ugi	ugi	NOUN
ap-5173	87	3	represents	represent	VERB
ap-5173	87	4	a	a	DET
ap-5173	87	5	gasification	gasification	NOUN
ap-5173	87	6	named	name	VERB
ap-5173	87	7	by	by	ADP
ap-5173	87	8	ugi	ugi	NOUN
ap-5173	87	9	company	company	NOUN
ap-5173	87	10	.	.	PUNCT
ap-5173	88	1	the	the	DET
ap-5173	88	2	ugi	ugi	PROPN
ap-5173	88	3	gasifier	gasifier	NOUN
ap-5173	88	4	is	be	AUX
ap-5173	88	5	an	an	DET
ap-5173	88	6	atmospheric	atmospheric	ADJ
ap-5173	88	7	fixed	fix	VERB
ap-5173	88	8	bed	bed	NOUN
ap-5173	88	9	,	,	PUNCT
ap-5173	88	10	solid	solid	ADJ
ap-5173	88	11	-	-	PUNCT
ap-5173	88	12	state	state	NOUN
ap-5173	88	13	slag	slag	NOUN
ap-5173	88	14	coal	coal	NOUN
ap-5173	88	15	gasification	gasification	NOUN
ap-5173	88	16	equipment	equipment	NOUN
ap-5173	88	17	.	.	PUNCT
ap-5173	89	1	the	the	DET
ap-5173	89	2	prediction	prediction	NOUN
ap-5173	89	3	of	of	ADP
ap-5173	89	4	the	the	DET
ap-5173	89	5	syngas	syngas	NOUN
ap-5173	89	6	composition	composition	NOUN
ap-5173	89	7	based	base	VERB
ap-5173	89	8	on	on	ADP
ap-5173	89	9	the	the	DET
ap-5173	89	10	thermodynamic	thermodynamic	ADJ
ap-5173	89	11	model	model	NOUN
ap-5173	89	12	can	can	AUX
ap-5173	89	13	be	be	AUX
ap-5173	89	14	found	find	VERB
ap-5173	89	15	in	in	ADP
ap-5173	89	16	[	[	X
ap-5173	89	17	18	18	NUM
ap-5173	89	18	,	,	PUNCT
ap-5173	89	19	19	19	NUM
ap-5173	89	20	]	]	PUNCT
ap-5173	89	21	.	.	PUNCT
ap-5173	90	1	in	in	ADP
ap-5173	90	2	the	the	DET
ap-5173	90	3	past	past	NOUN
ap-5173	90	4	,	,	PUNCT
ap-5173	90	5	the	the	DET
ap-5173	90	6	application	application	NOUN
ap-5173	90	7	of	of	ADP
ap-5173	90	8	the	the	DET
ap-5173	90	9	one	one	NUM
ap-5173	90	10	-	-	PUNCT
ap-5173	90	11	dimensional	dimensional	ADJ
ap-5173	90	12	time	time	NOUN
ap-5173	90	13	-	-	PUNCT
ap-5173	90	14	dependent	dependent	ADJ
ap-5173	90	15	numerical	numerical	ADJ
ap-5173	90	16	computational	computational	ADJ
ap-5173	90	17	model	model	NOUN
ap-5173	90	18	of	of	ADP
ap-5173	90	19	the	the	DET
ap-5173	90	20	324	324	NUM
ap-5173	90	21	vol	vol	NOUN
ap-5173	90	22	.	.	PUNCT
ap-5173	91	1	59	59	NUM
ap-5173	91	2	no	no	NOUN
ap-5173	91	3	.	.	PUNCT
ap-5173	92	1	4/2019	4/2019	NUM
ap-5173	92	2	a	a	DET
ap-5173	92	3	comparative	comparative	ADJ
ap-5173	92	4	study	study	NOUN
ap-5173	92	5	of	of	ADP
ap-5173	92	6	data	data	NOUN
ap-5173	92	7	-	-	PUNCT
ap-5173	92	8	driven	drive	VERB
ap-5173	92	9	modeling	modeling	NOUN
ap-5173	92	10	methods	method	NOUN
ap-5173	92	11	.	.	PUNCT
ap-5173	92	12	.	.	PUNCT
ap-5173	92	13	.	.	PUNCT
ap-5173	93	1	ucg	ucg	PROPN
ap-5173	93	2	in	in	ADP
ap-5173	93	3	a	a	DET
ap-5173	93	4	packed	packed	ADJ
ap-5173	93	5	bed	bed	NOUN
ap-5173	93	6	has	have	AUX
ap-5173	93	7	also	also	ADV
ap-5173	93	8	been	be	AUX
ap-5173	93	9	investigated	investigate	VERB
ap-5173	93	10	with	with	ADP
ap-5173	93	11	a	a	DET
ap-5173	93	12	verification	verification	NOUN
ap-5173	93	13	on	on	ADP
ap-5173	93	14	laboratory	laboratory	NOUN
ap-5173	93	15	measurements	measurement	NOUN
ap-5173	93	16	[	[	X
ap-5173	93	17	20	20	NUM
ap-5173	93	18	]	]	PUNCT
ap-5173	93	19	.	.	PUNCT
ap-5173	94	1	the	the	DET
ap-5173	94	2	model	model	NOUN
ap-5173	94	3	based	base	VERB
ap-5173	94	4	on	on	ADP
ap-5173	94	5	nonlinear	nonlinear	ADJ
ap-5173	94	6	partial	partial	ADJ
ap-5173	94	7	differential	differential	NOUN
ap-5173	94	8	equations	equation	NOUN
ap-5173	94	9	was	be	AUX
ap-5173	94	10	capable	capable	ADJ
ap-5173	94	11	of	of	ADP
ap-5173	94	12	estimating	estimate	VERB
ap-5173	94	13	the	the	DET
ap-5173	94	14	syngas	syngas	NOUN
ap-5173	94	15	composition	composition	NOUN
ap-5173	94	16	and	and	CCONJ
ap-5173	94	17	temperature	temperature	NOUN
ap-5173	94	18	distribution	distribution	NOUN
ap-5173	94	19	.	.	PUNCT
ap-5173	95	1	a	a	DET
ap-5173	95	2	novel	novel	ADJ
ap-5173	95	3	dynamic	dynamic	ADJ
ap-5173	95	4	soft	soft	ADJ
ap-5173	95	5	-	-	PUNCT
ap-5173	95	6	sensing	sense	VERB
ap-5173	95	7	method	method	NOUN
ap-5173	95	8	based	base	VERB
ap-5173	95	9	on	on	ADP
ap-5173	95	10	an	an	DET
ap-5173	95	11	impulses	impulse	NOUN
ap-5173	95	12	response	response	NOUN
ap-5173	95	13	template	template	NOUN
ap-5173	95	14	for	for	ADP
ap-5173	95	15	the	the	DET
ap-5173	95	16	shell	shell	ADJ
ap-5173	95	17	coal	coal	NOUN
ap-5173	95	18	gasification	gasification	NOUN
ap-5173	95	19	process	process	NOUN
ap-5173	95	20	was	be	AUX
ap-5173	95	21	developed	develop	VERB
ap-5173	95	22	in	in	ADP
ap-5173	95	23	[	[	X
ap-5173	95	24	21	21	NUM
ap-5173	95	25	]	]	PUNCT
ap-5173	95	26	.	.	PUNCT
ap-5173	96	1	the	the	DET
ap-5173	96	2	proposed	propose	VERB
ap-5173	96	3	model	model	NOUN
ap-5173	96	4	can	can	AUX
ap-5173	96	5	predict	predict	VERB
ap-5173	96	6	the	the	DET
ap-5173	96	7	syngas	syngas	NOUN
ap-5173	96	8	composition	composition	NOUN
ap-5173	96	9	during	during	ADP
ap-5173	96	10	the	the	DET
ap-5173	96	11	coal	coal	NOUN
ap-5173	96	12	gasification	gasification	NOUN
ap-5173	96	13	.	.	PUNCT
ap-5173	97	1	the	the	DET
ap-5173	97	2	application	application	NOUN
ap-5173	97	3	and	and	CCONJ
ap-5173	97	4	comparison	comparison	NOUN
ap-5173	97	5	of	of	ADP
ap-5173	97	6	the	the	DET
ap-5173	97	7	efficiency	efficiency	NOUN
ap-5173	97	8	of	of	ADP
ap-5173	97	9	various	various	ADJ
ap-5173	97	10	learning	learning	NOUN
ap-5173	97	11	methods	method	NOUN
ap-5173	97	12	,	,	PUNCT
ap-5173	97	13	i.e.	i.e.	X
ap-5173	97	14	,	,	PUNCT
ap-5173	97	15	nn	nn	X
ap-5173	97	16	,	,	PUNCT
ap-5173	97	17	adaptive	adaptive	ADJ
ap-5173	97	18	regression	regression	NOUN
ap-5173	97	19	splines	spline	NOUN
ap-5173	97	20	(	(	PUNCT
ap-5173	97	21	mars	mar	NOUN
ap-5173	97	22	)	)	PUNCT
ap-5173	97	23	or	or	CCONJ
ap-5173	97	24	support	support	VERB
ap-5173	97	25	vector	vector	NOUN
ap-5173	97	26	machines	machine	NOUN
ap-5173	97	27	(	(	PUNCT
ap-5173	97	28	svms	svms	NOUN
ap-5173	97	29	)	)	PUNCT
ap-5173	97	30	in	in	ADP
ap-5173	97	31	the	the	DET
ap-5173	97	32	ucg	ucg	PROPN
ap-5173	97	33	data	data	PROPN
ap-5173	97	34	prediction	prediction	NOUN
ap-5173	97	35	has	have	AUX
ap-5173	97	36	not	not	PART
ap-5173	97	37	yet	yet	ADV
ap-5173	97	38	been	be	AUX
ap-5173	97	39	the	the	DET
ap-5173	97	40	subject	subject	NOUN
ap-5173	97	41	of	of	ADP
ap-5173	97	42	an	an	DET
ap-5173	97	43	extensive	extensive	ADJ
ap-5173	97	44	study	study	NOUN
ap-5173	97	45	,	,	PUNCT
ap-5173	97	46	but	but	CCONJ
ap-5173	97	47	similar	similar	ADJ
ap-5173	97	48	applications	application	NOUN
ap-5173	97	49	in	in	ADP
ap-5173	97	50	steel	steel	NOUN
ap-5173	97	51	making	make	VERB
ap-5173	97	52	processess	processess	NOUN
ap-5173	97	53	and	and	CCONJ
ap-5173	97	54	biomass	biomass	NOUN
ap-5173	97	55	gasification	gasification	NOUN
ap-5173	97	56	are	be	AUX
ap-5173	97	57	registered	register	VERB
ap-5173	97	58	(	(	PUNCT
ap-5173	97	59	e.g.	e.g.	ADV
ap-5173	97	60	,	,	PUNCT
ap-5173	97	61	[	[	X
ap-5173	97	62	22	22	NUM
ap-5173	97	63	,	,	PUNCT
ap-5173	97	64	23	23	NUM
ap-5173	97	65	]	]	PUNCT
ap-5173	97	66	)	)	PUNCT
ap-5173	97	67	.	.	PUNCT
ap-5173	98	1	the	the	DET
ap-5173	98	2	purpose	purpose	NOUN
ap-5173	98	3	of	of	ADP
ap-5173	98	4	the	the	DET
ap-5173	98	5	ucg	ucg	PROPN
ap-5173	98	6	monitoring	monitoring	NOUN
ap-5173	98	7	is	be	AUX
ap-5173	98	8	to	to	PART
ap-5173	98	9	provide	provide	VERB
ap-5173	98	10	a	a	DET
ap-5173	98	11	better	well	ADJ
ap-5173	98	12	understanding	understanding	NOUN
ap-5173	98	13	of	of	ADP
ap-5173	98	14	how	how	SCONJ
ap-5173	98	15	the	the	DET
ap-5173	98	16	syngas	syngas	NOUN
ap-5173	98	17	is	be	AUX
ap-5173	98	18	produced	produce	VERB
ap-5173	98	19	.	.	PUNCT
ap-5173	99	1	for	for	ADP
ap-5173	99	2	this	this	DET
ap-5173	99	3	reason	reason	NOUN
ap-5173	99	4	,	,	PUNCT
ap-5173	99	5	it	it	PRON
ap-5173	99	6	is	be	AUX
ap-5173	99	7	needed	need	VERB
ap-5173	99	8	to	to	PART
ap-5173	99	9	know	know	VERB
ap-5173	99	10	what	what	PRON
ap-5173	99	11	temperature	temperature	NOUN
ap-5173	99	12	is	be	AUX
ap-5173	99	13	reached	reach	VERB
ap-5173	99	14	in	in	ADP
ap-5173	99	15	the	the	DET
ap-5173	99	16	underground	underground	ADJ
ap-5173	99	17	oxidizing	oxidize	VERB
ap-5173	99	18	zone	zone	NOUN
ap-5173	99	19	.	.	PUNCT
ap-5173	100	1	this	this	DET
ap-5173	100	2	work	work	NOUN
ap-5173	100	3	examines	examine	VERB
ap-5173	100	4	a	a	DET
ap-5173	100	5	potential	potential	ADJ
ap-5173	100	6	learning	learning	NOUN
ap-5173	100	7	method	method	NOUN
ap-5173	100	8	that	that	PRON
ap-5173	100	9	can	can	AUX
ap-5173	100	10	be	be	AUX
ap-5173	100	11	implemented	implement	VERB
ap-5173	100	12	in	in	ADP
ap-5173	100	13	the	the	DET
ap-5173	100	14	proposal	proposal	NOUN
ap-5173	100	15	of	of	ADP
ap-5173	100	16	the	the	DET
ap-5173	100	17	soft	soft	ADJ
ap-5173	100	18	sensor	sensor	NOUN
ap-5173	100	19	for	for	ADP
ap-5173	100	20	the	the	DET
ap-5173	100	21	data	data	NOUN
ap-5173	100	22	prediction	prediction	NOUN
ap-5173	100	23	in	in	ADP
ap-5173	100	24	the	the	DET
ap-5173	100	25	ucg	ucg	PROPN
ap-5173	100	26	.	.	PUNCT
ap-5173	101	1	an	an	DET
ap-5173	101	2	underground	underground	ADJ
ap-5173	101	3	geo	geo	PROPN
ap-5173	101	4	-	-	PUNCT
ap-5173	101	5	reactor	reactor	NOUN
ap-5173	101	6	is	be	AUX
ap-5173	101	7	different	different	ADJ
ap-5173	101	8	from	from	ADP
ap-5173	101	9	another	another	DET
ap-5173	101	10	industrial	industrial	ADJ
ap-5173	101	11	plant	plant	NOUN
ap-5173	101	12	because	because	SCONJ
ap-5173	101	13	the	the	DET
ap-5173	101	14	coal	coal	NOUN
ap-5173	101	15	seam	seam	NOUN
ap-5173	101	16	was	be	AUX
ap-5173	101	17	created	create	VERB
ap-5173	101	18	by	by	ADP
ap-5173	101	19	nature	nature	NOUN
ap-5173	101	20	and	and	CCONJ
ap-5173	101	21	it	it	PRON
ap-5173	101	22	is	be	AUX
ap-5173	101	23	not	not	PART
ap-5173	101	24	possible	possible	ADJ
ap-5173	101	25	to	to	PART
ap-5173	101	26	see	see	VERB
ap-5173	101	27	what	what	PRON
ap-5173	101	28	is	be	AUX
ap-5173	101	29	in	in	ADP
ap-5173	101	30	the	the	DET
ap-5173	101	31	underground	underground	NOUN
ap-5173	101	32	when	when	SCONJ
ap-5173	101	33	the	the	DET
ap-5173	101	34	ucg	ucg	PROPN
ap-5173	101	35	is	be	AUX
ap-5173	101	36	in	in	ADP
ap-5173	101	37	progress	progress	NOUN
ap-5173	101	38	.	.	PUNCT
ap-5173	102	1	for	for	ADP
ap-5173	102	2	the	the	DET
ap-5173	102	3	ucg	ucg	PROPN
ap-5173	102	4	,	,	PUNCT
ap-5173	102	5	new	new	ADJ
ap-5173	102	6	research	research	NOUN
ap-5173	102	7	and	and	CCONJ
ap-5173	102	8	technologies	technology	NOUN
ap-5173	102	9	are	be	AUX
ap-5173	102	10	aimed	aim	VERB
ap-5173	102	11	to	to	PART
ap-5173	102	12	make	make	VERB
ap-5173	102	13	measurements	measurement	NOUN
ap-5173	102	14	of	of	ADP
ap-5173	102	15	process	process	NOUN
ap-5173	102	16	variables	variable	NOUN
ap-5173	102	17	faster	fast	ADV
ap-5173	102	18	and	and	CCONJ
ap-5173	102	19	non	non	ADJ
ap-5173	102	20	-	-	ADJ
ap-5173	102	21	destructive	destructive	ADJ
ap-5173	102	22	,	,	PUNCT
ap-5173	102	23	which	which	PRON
ap-5173	102	24	would	would	AUX
ap-5173	102	25	allow	allow	VERB
ap-5173	102	26	having	have	VERB
ap-5173	102	27	a	a	DET
ap-5173	102	28	smart	smart	ADJ
ap-5173	102	29	non	non	ADJ
ap-5173	102	30	-	-	ADJ
ap-5173	102	31	intrusive	intrusive	ADJ
ap-5173	102	32	quality	quality	NOUN
ap-5173	102	33	sensor	sensor	NOUN
ap-5173	102	34	at	at	ADP
ap-5173	102	35	hand	hand	NOUN
ap-5173	102	36	.	.	PUNCT
ap-5173	103	1	in	in	ADP
ap-5173	103	2	this	this	DET
ap-5173	103	3	paper	paper	NOUN
ap-5173	103	4	,	,	PUNCT
ap-5173	103	5	in	in	ADP
ap-5173	103	6	order	order	NOUN
ap-5173	103	7	to	to	ADP
ap-5173	103	8	training	train	VERB
ap-5173	103	9	data	data	NOUN
ap-5173	103	10	-	-	PUNCT
ap-5173	103	11	driven	drive	VERB
ap-5173	103	12	modeling	modeling	NOUN
ap-5173	103	13	,	,	PUNCT
ap-5173	103	14	a	a	DET
ap-5173	103	15	data	datum	NOUN
ap-5173	103	16	set	set	VERB
ap-5173	103	17	from	from	ADP
ap-5173	103	18	an	an	DET
ap-5173	103	19	experimental	experimental	ADJ
ap-5173	103	20	ucg	ucg	NOUN
ap-5173	103	21	was	be	AUX
ap-5173	103	22	used	use	VERB
ap-5173	103	23	.	.	PUNCT
ap-5173	104	1	in	in	ADP
ap-5173	104	2	the	the	DET
ap-5173	104	3	data	data	NOUN
ap-5173	104	4	-	-	PUNCT
ap-5173	104	5	driven	drive	VERB
ap-5173	104	6	(	(	PUNCT
ap-5173	104	7	i.e.	i.e.	X
ap-5173	104	8	,	,	PUNCT
ap-5173	104	9	black	black	ADJ
ap-5173	104	10	box	box	NOUN
ap-5173	104	11	)	)	PUNCT
ap-5173	104	12	modelling	modelling	NOUN
ap-5173	104	13	,	,	PUNCT
ap-5173	104	14	input	input	NOUN
ap-5173	104	15	and	and	CCONJ
ap-5173	104	16	output	output	NOUN
ap-5173	104	17	data	datum	NOUN
ap-5173	104	18	are	be	AUX
ap-5173	104	19	used	use	VERB
ap-5173	104	20	in	in	ADP
ap-5173	104	21	order	order	NOUN
ap-5173	104	22	to	to	PART
ap-5173	104	23	create	create	VERB
ap-5173	104	24	a	a	DET
ap-5173	104	25	statistical	statistical	ADJ
ap-5173	104	26	model	model	NOUN
ap-5173	104	27	.	.	PUNCT
ap-5173	105	1	in	in	ADP
ap-5173	105	2	order	order	NOUN
ap-5173	105	3	to	to	PART
ap-5173	105	4	find	find	VERB
ap-5173	105	5	a	a	DET
ap-5173	105	6	prediction	prediction	NOUN
ap-5173	105	7	apparatus	apparatus	NOUN
ap-5173	105	8	for	for	ADP
ap-5173	105	9	the	the	DET
ap-5173	105	10	ucg	ucg	PROPN
ap-5173	105	11	data	data	PROPN
ap-5173	105	12	prediction	prediction	NOUN
ap-5173	105	13	,	,	PUNCT
ap-5173	105	14	the	the	DET
ap-5173	105	15	machine	machine	NOUN
ap-5173	105	16	learning	learn	VERB
ap-5173	105	17	approach	approach	NOUN
ap-5173	105	18	has	have	AUX
ap-5173	105	19	been	be	AUX
ap-5173	105	20	examined	examine	VERB
ap-5173	105	21	.	.	PUNCT
ap-5173	106	1	one	one	NUM
ap-5173	106	2	of	of	ADP
ap-5173	106	3	the	the	DET
ap-5173	106	4	interesting	interesting	ADJ
ap-5173	106	5	advantages	advantage	NOUN
ap-5173	106	6	of	of	ADP
ap-5173	106	7	the	the	DET
ap-5173	106	8	machine	machine	NOUN
ap-5173	106	9	learning	learning	NOUN
ap-5173	106	10	is	be	AUX
ap-5173	106	11	that	that	SCONJ
ap-5173	106	12	a	a	DET
ap-5173	106	13	system	system	NOUN
ap-5173	106	14	,	,	PUNCT
ap-5173	106	15	randomly	randomly	ADV
ap-5173	106	16	initialized	initialize	VERB
ap-5173	106	17	and	and	CCONJ
ap-5173	106	18	trained	train	VERB
ap-5173	106	19	on	on	ADP
ap-5173	106	20	some	some	DET
ap-5173	106	21	data	data	NOUN
ap-5173	106	22	sets	set	NOUN
ap-5173	106	23	,	,	PUNCT
ap-5173	106	24	will	will	AUX
ap-5173	106	25	eventually	eventually	ADV
ap-5173	106	26	learn	learn	VERB
ap-5173	106	27	good	good	ADJ
ap-5173	106	28	feature	feature	NOUN
ap-5173	106	29	representations	representation	NOUN
ap-5173	106	30	for	for	ADP
ap-5173	106	31	a	a	DET
ap-5173	106	32	given	give	VERB
ap-5173	106	33	task	task	NOUN
ap-5173	106	34	.	.	PUNCT
ap-5173	107	1	in	in	ADP
ap-5173	107	2	the	the	DET
ap-5173	107	3	following	follow	VERB
ap-5173	107	4	sections	section	NOUN
ap-5173	107	5	,	,	PUNCT
ap-5173	107	6	three	three	NUM
ap-5173	107	7	learning	learning	NOUN
ap-5173	107	8	methods	method	NOUN
ap-5173	107	9	,	,	PUNCT
ap-5173	107	10	back	back	NOUN
ap-5173	107	11	-	-	PUNCT
ap-5173	107	12	propagation	propagation	NOUN
ap-5173	107	13	nn	nn	PROPN
ap-5173	107	14	(	(	PUNCT
ap-5173	107	15	bpnn	bpnn	NOUN
ap-5173	107	16	)	)	PUNCT
ap-5173	107	17	,	,	PUNCT
ap-5173	107	18	mars	mar	NOUN
ap-5173	107	19	and	and	CCONJ
ap-5173	107	20	support	support	VERB
ap-5173	107	21	vector	vector	NOUN
ap-5173	107	22	regression	regression	NOUN
ap-5173	107	23	(	(	PUNCT
ap-5173	107	24	svr	svr	PROPN
ap-5173	107	25	)	)	PUNCT
ap-5173	107	26	,	,	PUNCT
ap-5173	107	27	are	be	AUX
ap-5173	107	28	examined	examine	VERB
ap-5173	107	29	in	in	ADP
ap-5173	107	30	order	order	NOUN
ap-5173	107	31	to	to	PART
ap-5173	107	32	support	support	VERB
ap-5173	107	33	soft	soft	ADJ
ap-5173	107	34	-	-	PUNCT
ap-5173	107	35	sensing	sensing	NOUN
ap-5173	107	36	in	in	ADP
ap-5173	107	37	the	the	DET
ap-5173	107	38	ucg	ucg	PROPN
ap-5173	107	39	.	.	PUNCT
ap-5173	108	1	predictive	predictive	ADJ
ap-5173	108	2	methods	method	NOUN
ap-5173	108	3	are	be	AUX
ap-5173	108	4	evaluated	evaluate	VERB
ap-5173	108	5	using	use	VERB
ap-5173	108	6	statistical	statistical	ADJ
ap-5173	108	7	approaches	approach	NOUN
ap-5173	108	8	and	and	CCONJ
ap-5173	108	9	calculating	calculate	VERB
ap-5173	108	10	the	the	DET
ap-5173	108	11	performance	performance	NOUN
ap-5173	108	12	index	index	NOUN
ap-5173	108	13	.	.	PUNCT
ap-5173	109	1	the	the	DET
ap-5173	109	2	methods	method	NOUN
ap-5173	109	3	were	be	AUX
ap-5173	109	4	applied	apply	VERB
ap-5173	109	5	to	to	ADP
ap-5173	109	6	the	the	DET
ap-5173	109	7	experimental	experimental	ADJ
ap-5173	109	8	data	datum	NOUN
ap-5173	109	9	obtained	obtain	VERB
ap-5173	109	10	from	from	ADP
ap-5173	109	11	the	the	DET
ap-5173	109	12	experimental	experimental	ADJ
ap-5173	109	13	trial	trial	NOUN
ap-5173	109	14	of	of	ADP
ap-5173	109	15	the	the	DET
ap-5173	109	16	ucg	ucg	PROPN
ap-5173	109	17	.	.	PUNCT
ap-5173	110	1	the	the	DET
ap-5173	110	2	results	result	NOUN
ap-5173	110	3	from	from	ADP
ap-5173	110	4	the	the	DET
ap-5173	110	5	three	three	NUM
ap-5173	110	6	methods	method	NOUN
ap-5173	110	7	are	be	AUX
ap-5173	110	8	compared	compare	VERB
ap-5173	110	9	to	to	ADP
ap-5173	110	10	each	each	DET
ap-5173	110	11	other	other	ADJ
ap-5173	110	12	for	for	ADP
ap-5173	110	13	determining	determine	VERB
ap-5173	110	14	which	which	DET
ap-5173	110	15	method	method	NOUN
ap-5173	110	16	is	be	AUX
ap-5173	110	17	the	the	DET
ap-5173	110	18	most	most	ADV
ap-5173	110	19	suitable	suitable	ADJ
ap-5173	110	20	for	for	ADP
ap-5173	110	21	the	the	DET
ap-5173	110	22	ucg	ucg	NOUN
ap-5173	110	23	.	.	PROPN
ap-5173	111	1	2	2	NUM
ap-5173	111	2	.	.	X
ap-5173	111	3	analysis	analysis	NOUN
ap-5173	111	4	of	of	ADP
ap-5173	111	5	selected	select	VERB
ap-5173	111	6	modeling	modeling	NOUN
ap-5173	111	7	methods	method	NOUN
ap-5173	111	8	2.1	2.1	NUM
ap-5173	111	9	.	.	PUNCT
ap-5173	112	1	multilayer	multilayer	ADJ
ap-5173	112	2	feed	feed	NOUN
ap-5173	112	3	-	-	PUNCT
ap-5173	112	4	forward	forward	NOUN
ap-5173	112	5	neural	neural	ADJ
ap-5173	112	6	networks	network	NOUN
ap-5173	112	7	the	the	DET
ap-5173	112	8	inherent	inherent	ADJ
ap-5173	112	9	non	non	ADJ
ap-5173	112	10	-	-	ADJ
ap-5173	112	11	linear	linear	ADJ
ap-5173	112	12	structure	structure	NOUN
ap-5173	112	13	of	of	ADP
ap-5173	112	14	the	the	DET
ap-5173	112	15	nn	nn	PROPN
ap-5173	112	16	is	be	AUX
ap-5173	112	17	well	well	ADV
ap-5173	112	18	suited	suited	ADJ
ap-5173	112	19	for	for	ADP
ap-5173	112	20	solving	solve	VERB
ap-5173	112	21	many	many	ADJ
ap-5173	112	22	real	real	ADJ
ap-5173	112	23	-	-	PUNCT
ap-5173	112	24	world	world	NOUN
ap-5173	112	25	problems	problem	NOUN
ap-5173	112	26	.	.	PUNCT
ap-5173	113	1	in	in	ADP
ap-5173	113	2	recent	recent	ADJ
ap-5173	113	3	years	year	NOUN
ap-5173	113	4	,	,	PUNCT
ap-5173	113	5	several	several	ADJ
ap-5173	113	6	models	model	NOUN
ap-5173	113	7	of	of	ADP
ap-5173	113	8	nns	nn	NOUN
ap-5173	113	9	have	have	AUX
ap-5173	113	10	been	be	AUX
ap-5173	113	11	designed	design	VERB
ap-5173	113	12	and	and	CCONJ
ap-5173	113	13	optimized	optimize	VERB
ap-5173	113	14	to	to	PART
ap-5173	113	15	solve	solve	VERB
ap-5173	113	16	a	a	DET
ap-5173	113	17	specific	specific	ADJ
ap-5173	113	18	problem	problem	NOUN
ap-5173	113	19	.	.	PUNCT
ap-5173	114	1	nns	nns	NOUN
ap-5173	114	2	models	model	NOUN
ap-5173	114	3	have	have	VERB
ap-5173	114	4	an	an	DET
ap-5173	114	5	excellent	excellent	ADJ
ap-5173	114	6	ability	ability	NOUN
ap-5173	114	7	to	to	PART
ap-5173	114	8	learn	learn	VERB
ap-5173	114	9	from	from	ADP
ap-5173	114	10	experience	experience	NOUN
ap-5173	114	11	and	and	CCONJ
ap-5173	114	12	are	be	AUX
ap-5173	114	13	also	also	ADV
ap-5173	114	14	suitable	suitable	ADJ
ap-5173	114	15	non	non	ADJ
ap-5173	114	16	-	-	ADJ
ap-5173	114	17	parametric	parametric	ADJ
ap-5173	114	18	methods	method	NOUN
ap-5173	114	19	that	that	PRON
ap-5173	114	20	do	do	AUX
ap-5173	114	21	not	not	PART
ap-5173	114	22	require	require	VERB
ap-5173	114	23	many	many	ADJ
ap-5173	114	24	limiting	limit	VERB
ap-5173	114	25	factors	factor	NOUN
ap-5173	114	26	.	.	PUNCT
ap-5173	115	1	a	a	DET
ap-5173	115	2	multilayer	multilayer	ADJ
ap-5173	115	3	feed	feed	NOUN
ap-5173	115	4	-	-	PUNCT
ap-5173	115	5	forward	forward	NOUN
ap-5173	115	6	neural	neural	ADJ
ap-5173	115	7	networks	network	NOUN
ap-5173	115	8	are	be	AUX
ap-5173	115	9	most	most	ADV
ap-5173	115	10	commonly	commonly	ADV
ap-5173	115	11	used	use	VERB
ap-5173	115	12	as	as	ADP
ap-5173	115	13	a	a	DET
ap-5173	115	14	universal	universal	ADJ
ap-5173	115	15	means	mean	NOUN
ap-5173	115	16	for	for	ADP
ap-5173	115	17	classification	classification	NOUN
ap-5173	115	18	and	and	CCONJ
ap-5173	115	19	prediction	prediction	NOUN
ap-5173	115	20	.	.	PUNCT
ap-5173	116	1	they	they	PRON
ap-5173	116	2	consist	consist	VERB
ap-5173	116	3	of	of	ADP
ap-5173	116	4	sensoric	sensoric	ADJ
ap-5173	116	5	units	unit	NOUN
ap-5173	116	6	,	,	PUNCT
ap-5173	116	7	so	so	ADV
ap-5173	116	8	-	-	PUNCT
ap-5173	116	9	called	call	VERB
ap-5173	116	10	input	input	NOUN
ap-5173	116	11	nodes	node	NOUN
ap-5173	116	12	,	,	PUNCT
ap-5173	116	13	that	that	PRON
ap-5173	116	14	form	form	VERB
ap-5173	116	15	an	an	DET
ap-5173	116	16	input	input	NOUN
ap-5173	116	17	layer	layer	NOUN
ap-5173	116	18	,	,	PUNCT
ap-5173	116	19	one	one	NUM
ap-5173	116	20	or	or	CCONJ
ap-5173	116	21	more	more	ADV
ap-5173	116	22	hidden	hidden	ADJ
ap-5173	116	23	layers	layer	NOUN
ap-5173	116	24	with	with	ADP
ap-5173	116	25	counting	count	VERB
ap-5173	116	26	nodes	node	NOUN
ap-5173	116	27	and	and	CCONJ
ap-5173	116	28	an	an	DET
ap-5173	116	29	output	output	NOUN
ap-5173	116	30	layer	layer	NOUN
ap-5173	116	31	also	also	ADV
ap-5173	116	32	with	with	ADP
ap-5173	116	33	counting	counting	NOUN
ap-5173	116	34	nodes	node	NOUN
ap-5173	116	35	.	.	PUNCT
ap-5173	117	1	the	the	DET
ap-5173	117	2	signal	signal	NOUN
ap-5173	117	3	passes	pass	VERB
ap-5173	117	4	through	through	ADP
ap-5173	117	5	the	the	DET
ap-5173	117	6	network	network	NOUN
ap-5173	117	7	forwards	forward	VERB
ap-5173	117	8	across	across	ADP
ap-5173	117	9	the	the	DET
ap-5173	117	10	individual	individual	ADJ
ap-5173	117	11	layers	layer	NOUN
ap-5173	117	12	.	.	PUNCT
ap-5173	118	1	in	in	ADP
ap-5173	118	2	a	a	DET
ap-5173	118	3	multi	multi	ADJ
ap-5173	118	4	-	-	ADJ
ap-5173	118	5	layer	layer	ADJ
ap-5173	118	6	feed	feed	NOUN
ap-5173	118	7	-	-	PUNCT
ap-5173	118	8	forward	forward	NOUN
ap-5173	118	9	nn	nn	PROPN
ap-5173	118	10	,	,	PUNCT
ap-5173	118	11	all	all	DET
ap-5173	118	12	neurons	neuron	NOUN
ap-5173	118	13	of	of	ADP
ap-5173	118	14	the	the	DET
ap-5173	118	15	previous	previous	ADJ
ap-5173	118	16	layer	layer	NOUN
ap-5173	118	17	are	be	AUX
ap-5173	118	18	linked	link	VERB
ap-5173	118	19	to	to	ADP
ap-5173	118	20	each	each	DET
ap-5173	118	21	neuron	neuron	NOUN
ap-5173	118	22	of	of	ADP
ap-5173	118	23	the	the	DET
ap-5173	118	24	following	follow	VERB
ap-5173	118	25	layer	layer	NOUN
ap-5173	118	26	.	.	PUNCT
ap-5173	119	1	however	however	ADV
ap-5173	119	2	,	,	PUNCT
ap-5173	119	3	there	there	PRON
ap-5173	119	4	are	be	VERB
ap-5173	119	5	no	no	DET
ap-5173	119	6	interconnections	interconnection	NOUN
ap-5173	119	7	between	between	ADP
ap-5173	119	8	the	the	DET
ap-5173	119	9	neurons	neuron	NOUN
ap-5173	119	10	at	at	ADP
ap-5173	119	11	the	the	DET
ap-5173	119	12	level	level	NOUN
ap-5173	119	13	of	of	ADP
ap-5173	119	14	the	the	DET
ap-5173	119	15	same	same	ADJ
ap-5173	119	16	layer	layer	NOUN
ap-5173	119	17	as	as	ADV
ap-5173	119	18	well	well	ADV
ap-5173	119	19	as	as	ADP
ap-5173	119	20	the	the	DET
ap-5173	119	21	direct	direct	ADJ
ap-5173	119	22	interconnection	interconnection	NOUN
ap-5173	119	23	of	of	ADP
ap-5173	119	24	the	the	DET
ap-5173	119	25	input	input	NOUN
ap-5173	119	26	layer	layer	NOUN
ap-5173	119	27	neurons	neuron	NOUN
ap-5173	119	28	with	with	ADP
ap-5173	119	29	the	the	DET
ap-5173	119	30	neurons	neuron	NOUN
ap-5173	119	31	that	that	PRON
ap-5173	119	32	are	be	AUX
ap-5173	119	33	two	two	NUM
ap-5173	119	34	layers	layer	NOUN
ap-5173	119	35	further	far	ADV
ap-5173	119	36	.	.	PUNCT
ap-5173	120	1	in	in	ADP
ap-5173	120	2	this	this	DET
ap-5173	120	3	paper	paper	NOUN
ap-5173	120	4	,	,	PUNCT
ap-5173	120	5	the	the	DET
ap-5173	120	6	back	back	ADJ
ap-5173	120	7	-	-	PUNCT
ap-5173	120	8	propagation	propagation	NOUN
ap-5173	120	9	algorithm	algorithm	NOUN
ap-5173	120	10	was	be	AUX
ap-5173	120	11	used	use	VERB
ap-5173	120	12	for	for	ADP
ap-5173	120	13	the	the	DET
ap-5173	120	14	nn	nn	PROPN
ap-5173	120	15	modeling	modeling	NOUN
ap-5173	120	16	of	of	ADP
ap-5173	120	17	the	the	DET
ap-5173	120	18	ucg	ucg	NOUN
ap-5173	120	19	.	.	PUNCT
ap-5173	121	1	this	this	DET
ap-5173	121	2	simple	simple	ADJ
ap-5173	121	3	gradient	gradient	ADJ
ap-5173	121	4	algorithm	algorithm	NOUN
ap-5173	121	5	was	be	AUX
ap-5173	121	6	proposed	propose	VERB
ap-5173	121	7	by	by	ADP
ap-5173	121	8	[	[	X
ap-5173	121	9	24	24	NUM
ap-5173	121	10	,	,	PUNCT
ap-5173	121	11	25	25	NUM
ap-5173	121	12	]	]	PUNCT
ap-5173	121	13	.	.	PUNCT
ap-5173	122	1	there	there	PRON
ap-5173	122	2	are	be	VERB
ap-5173	122	3	more	more	ADJ
ap-5173	122	4	approaches	approach	NOUN
ap-5173	122	5	to	to	ADP
ap-5173	122	6	explaining	explain	VERB
ap-5173	122	7	the	the	DET
ap-5173	122	8	principle	principle	NOUN
ap-5173	122	9	of	of	ADP
ap-5173	122	10	nns	nn	NOUN
ap-5173	122	11	and	and	CCONJ
ap-5173	122	12	the	the	DET
ap-5173	122	13	back	back	ADJ
ap-5173	122	14	-	-	PUNCT
ap-5173	122	15	propagation	propagation	NOUN
ap-5173	122	16	method	method	NOUN
ap-5173	122	17	,	,	PUNCT
ap-5173	122	18	e.g.	e.g.	ADV
ap-5173	122	19	,	,	PUNCT
ap-5173	122	20	using	use	VERB
ap-5173	122	21	the	the	DET
ap-5173	122	22	projection	projection	NOUN
ap-5173	122	23	pursuit	pursuit	NOUN
ap-5173	122	24	regression	regression	NOUN
ap-5173	122	25	(	(	PUNCT
ap-5173	122	26	ppr	ppr	NOUN
ap-5173	122	27	)	)	PUNCT
ap-5173	123	1	[	[	X
ap-5173	123	2	26	26	NUM
ap-5173	123	3	]	]	PUNCT
ap-5173	123	4	.	.	PUNCT
ap-5173	124	1	in	in	ADP
ap-5173	124	2	this	this	DET
ap-5173	124	3	paper	paper	NOUN
ap-5173	124	4	,	,	PUNCT
ap-5173	124	5	a	a	DET
ap-5173	124	6	graph	graph	NOUN
ap-5173	124	7	-	-	PUNCT
ap-5173	124	8	oriented	orient	VERB
ap-5173	124	9	approach	approach	NOUN
ap-5173	124	10	with	with	ADP
ap-5173	124	11	an	an	DET
ap-5173	124	12	extensive	extensive	ADJ
ap-5173	124	13	description	description	NOUN
ap-5173	124	14	that	that	PRON
ap-5173	124	15	can	can	AUX
ap-5173	124	16	be	be	AUX
ap-5173	124	17	found	find	VERB
ap-5173	124	18	in	in	ADP
ap-5173	124	19	[	[	X
ap-5173	124	20	27	27	NUM
ap-5173	124	21	]	]	PUNCT
ap-5173	124	22	has	have	AUX
ap-5173	124	23	been	be	AUX
ap-5173	124	24	used	use	VERB
ap-5173	124	25	.	.	PUNCT
ap-5173	125	1	the	the	DET
ap-5173	125	2	input	input	NOUN
ap-5173	125	3	and	and	CCONJ
ap-5173	125	4	output	output	NOUN
ap-5173	125	5	scheme	scheme	NOUN
ap-5173	125	6	considered	consider	VERB
ap-5173	125	7	for	for	SCONJ
ap-5173	125	8	the	the	DET
ap-5173	125	9	nn	nn	PROPN
ap-5173	125	10	for	for	ADP
ap-5173	125	11	the	the	DET
ap-5173	125	12	ucg	ucg	PROPN
ap-5173	125	13	data	data	PROPN
ap-5173	125	14	prediction	prediction	NOUN
ap-5173	125	15	is	be	AUX
ap-5173	125	16	shown	show	VERB
ap-5173	125	17	in	in	ADP
ap-5173	125	18	section	section	NOUN
ap-5173	125	19	4.1	4.1	NUM
ap-5173	125	20	(	(	PUNCT
ap-5173	125	21	see	see	VERB
ap-5173	125	22	figure	figure	NOUN
ap-5173	125	23	7	7	NUM
ap-5173	125	24	)	)	PUNCT
ap-5173	125	25	.	.	PUNCT
ap-5173	126	1	formally	formally	ADV
ap-5173	126	2	,	,	PUNCT
ap-5173	126	3	the	the	DET
ap-5173	126	4	nn	nn	PROPN
ap-5173	126	5	is	be	AUX
ap-5173	126	6	defined	define	VERB
ap-5173	126	7	as	as	ADP
ap-5173	126	8	the	the	DET
ap-5173	126	9	oriented	orient	VERB
ap-5173	126	10	graph	graph	NOUN
ap-5173	126	11	g	g	PROPN
ap-5173	126	12	=	=	PUNCT
ap-5173	126	13	(	(	PUNCT
ap-5173	126	14	v	v	NOUN
ap-5173	126	15	,	,	PUNCT
ap-5173	126	16	e	e	NOUN
ap-5173	126	17	)	)	PUNCT
ap-5173	126	18	where	where	SCONJ
ap-5173	126	19	v	v	NOUN
ap-5173	126	20	=	=	SYM
ap-5173	126	21	{	{	PUNCT
ap-5173	126	22	v1	v1	PROPN
ap-5173	126	23	,	,	PUNCT
ap-5173	126	24	v2	v2	PROPN
ap-5173	126	25	,	,	PUNCT
ap-5173	126	26	...	...	PUNCT
ap-5173	126	27	,	,	PUNCT
ap-5173	126	28	vn	vn	PROPN
ap-5173	126	29	}	}	PUNCT
ap-5173	126	30	is	be	AUX
ap-5173	126	31	the	the	DET
ap-5173	126	32	set	set	NOUN
ap-5173	126	33	of	of	ADP
ap-5173	126	34	verteices	verteice	NOUN
ap-5173	126	35	and	and	CCONJ
ap-5173	126	36	e	e	NOUN
ap-5173	126	37	=	=	SYM
ap-5173	126	38	{	{	PUNCT
ap-5173	126	39	e1	e1	PROPN
ap-5173	126	40	,	,	PUNCT
ap-5173	126	41	e2	e2	PROPN
ap-5173	126	42	,	,	PUNCT
ap-5173	126	43	...	...	PUNCT
ap-5173	126	44	em	em	PRON
ap-5173	126	45	}	}	PUNCT
ap-5173	126	46	the	the	DET
ap-5173	126	47	set	set	NOUN
ap-5173	126	48	edges	edge	NOUN
ap-5173	126	49	.	.	PUNCT
ap-5173	127	1	denote	denote	VERB
ap-5173	127	2	a	a	DET
ap-5173	127	3	non	non	ADJ
ap-5173	127	4	-	-	ADJ
ap-5173	127	5	empty	empty	ADJ
ap-5173	127	6	vertex	vertex	NOUN
ap-5173	127	7	or	or	CCONJ
ap-5173	127	8	edge	edge	NOUN
ap-5173	127	9	set	set	NOUN
ap-5173	127	10	of	of	ADP
ap-5173	127	11	the	the	DET
ap-5173	127	12	graph	graph	NOUN
ap-5173	127	13	g	g	NOUN
ap-5173	127	14	,	,	PUNCT
ap-5173	127	15	containing	contain	VERB
ap-5173	127	16	n	n	PRON
ap-5173	127	17	nodes	node	NOUN
ap-5173	127	18	(	(	PUNCT
ap-5173	127	19	neurons	neuron	NOUN
ap-5173	127	20	)	)	PUNCT
ap-5173	127	21	and	and	CCONJ
ap-5173	127	22	m	m	PROPN
ap-5173	127	23	(	(	PUNCT
ap-5173	127	24	connections	connection	NOUN
ap-5173	127	25	)	)	PUNCT
ap-5173	127	26	.	.	PUNCT
ap-5173	128	1	the	the	DET
ap-5173	128	2	set	set	NOUN
ap-5173	128	3	of	of	ADP
ap-5173	128	4	v	v	NOUN
ap-5173	128	5	neurons	neuron	NOUN
ap-5173	128	6	is	be	AUX
ap-5173	128	7	distributed	distribute	VERB
ap-5173	128	8	to	to	ADP
ap-5173	128	9	disjunctive	disjunctive	ADJ
ap-5173	128	10	subsets	subset	NOUN
ap-5173	128	11	of	of	ADP
ap-5173	128	12	v	v	NOUN
ap-5173	128	13	=	=	SYM
ap-5173	128	14	vi	vi	PROPN
ap-5173	128	15	∪vh	∪vh	NOUN
ap-5173	128	16	∪vo	∪vo	ADV
ap-5173	128	17	where	where	SCONJ
ap-5173	128	18	vi	vi	PROPN
ap-5173	128	19	contains	contain	VERB
ap-5173	128	20	ni	ni	PROPN
ap-5173	128	21	input	input	NOUN
ap-5173	128	22	neurons	neuron	NOUN
ap-5173	128	23	,	,	PUNCT
ap-5173	128	24	which	which	PRON
ap-5173	128	25	are	be	AUX
ap-5173	128	26	adjacent	adjacent	ADJ
ap-5173	128	27	to	to	ADP
ap-5173	128	28	only	only	ADV
ap-5173	128	29	the	the	DET
ap-5173	128	30	outgoing	outgoing	ADJ
ap-5173	128	31	edges	edge	NOUN
ap-5173	128	32	.	.	PUNCT
ap-5173	129	1	vh	vh	PROPN
ap-5173	129	2	contains	contain	VERB
ap-5173	129	3	nh	nh	PROPN
ap-5173	129	4	hidden	hide	VERB
ap-5173	129	5	neurons	neuron	NOUN
ap-5173	129	6	,	,	PUNCT
ap-5173	129	7	which	which	PRON
ap-5173	129	8	are	be	AUX
ap-5173	129	9	adjacent	adjacent	ADJ
ap-5173	129	10	to	to	ADP
ap-5173	129	11	the	the	DET
ap-5173	129	12	outgoing	outgoing	ADJ
ap-5173	129	13	edges	edge	NOUN
ap-5173	129	14	as	as	ADV
ap-5173	129	15	well	well	ADV
ap-5173	129	16	as	as	ADP
ap-5173	129	17	to	to	ADP
ap-5173	129	18	the	the	DET
ap-5173	129	19	incoming	incoming	ADJ
ap-5173	129	20	ones	one	NOUN
ap-5173	129	21	.	.	PUNCT
ap-5173	130	1	finally	finally	ADV
ap-5173	130	2	,	,	PUNCT
ap-5173	130	3	vo	vo	X
ap-5173	130	4	contains	contain	VERB
ap-5173	130	5	no	no	DET
ap-5173	130	6	output	output	NOUN
ap-5173	130	7	neurons	neuron	NOUN
ap-5173	130	8	,	,	PUNCT
ap-5173	130	9	which	which	PRON
ap-5173	130	10	are	be	AUX
ap-5173	130	11	adjacent	adjacent	ADJ
ap-5173	130	12	only	only	ADV
ap-5173	130	13	to	to	ADP
ap-5173	130	14	incoming	incoming	ADJ
ap-5173	130	15	edges	edge	NOUN
ap-5173	130	16	.	.	PUNCT
ap-5173	131	1	for	for	ADP
ap-5173	131	2	an	an	DET
ap-5173	131	3	acyclic	acyclic	ADJ
ap-5173	131	4	nn	nn	PROPN
ap-5173	131	5	,	,	PUNCT
ap-5173	131	6	the	the	DET
ap-5173	131	7	neurons	neuron	NOUN
ap-5173	131	8	can	can	AUX
ap-5173	131	9	be	be	AUX
ap-5173	131	10	arranged	arrange	VERB
ap-5173	131	11	into	into	ADP
ap-5173	131	12	layers	layer	NOUN
ap-5173	131	13	where	where	SCONJ
ap-5173	131	14	l1	l1	PROPN
ap-5173	131	15	=	=	PROPN
ap-5173	131	16	vi	vi	PROPN
ap-5173	131	17	is	be	AUX
ap-5173	131	18	an	an	DET
ap-5173	131	19	input	input	NOUN
ap-5173	131	20	layer	layer	NOUN
ap-5173	131	21	(	(	PUNCT
ap-5173	131	22	i.e.	i.e.	X
ap-5173	131	23	,	,	PUNCT
ap-5173	131	24	contains	contain	VERB
ap-5173	131	25	only	only	ADJ
ap-5173	131	26	input	input	NOUN
ap-5173	131	27	neurons	neuron	NOUN
ap-5173	131	28	)	)	PUNCT
ap-5173	131	29	,	,	PUNCT
ap-5173	131	30	l2	l2	NOUN
ap-5173	131	31	,	,	PUNCT
ap-5173	131	32	l3	l3	PROPN
ap-5173	131	33	,	,	PUNCT
ap-5173	131	34	...	...	PUNCT
ap-5173	131	35	,	,	PUNCT
ap-5173	131	36	lt−1	lt−1	PROPN
ap-5173	131	37	are	be	AUX
ap-5173	131	38	hidden	hide	VERB
ap-5173	131	39	layers	layer	NOUN
ap-5173	131	40	and	and	CCONJ
ap-5173	131	41	lt	lt	PRON
ap-5173	131	42	is	be	AUX
ap-5173	131	43	an	an	DET
ap-5173	131	44	output	output	NOUN
ap-5173	131	45	layer	layer	NOUN
ap-5173	131	46	.	.	PUNCT
ap-5173	132	1	the	the	DET
ap-5173	132	2	nn	nn	PROPN
ap-5173	132	3	determined	determine	VERB
ap-5173	132	4	by	by	ADP
ap-5173	132	5	the	the	DET
ap-5173	132	6	acyclic	acyclic	ADJ
ap-5173	132	7	graph	graph	NOUN
ap-5173	132	8	is	be	AUX
ap-5173	132	9	usually	usually	ADV
ap-5173	132	10	chosen	choose	VERB
ap-5173	132	11	so	so	SCONJ
ap-5173	132	12	that	that	SCONJ
ap-5173	132	13	the	the	DET
ap-5173	132	14	neurons	neuron	NOUN
ap-5173	132	15	from	from	ADP
ap-5173	132	16	the	the	DET
ap-5173	132	17	two	two	NUM
ap-5173	132	18	adjacent	adjacent	ADJ
ap-5173	132	19	layers	layer	NOUN
ap-5173	132	20	are	be	AUX
ap-5173	132	21	joined	join	VERB
ap-5173	132	22	together	together	ADV
ap-5173	132	23	by	by	ADP
ap-5173	132	24	all	all	DET
ap-5173	132	25	possible	possible	ADJ
ap-5173	132	26	connections	connection	NOUN
ap-5173	132	27	.	.	PUNCT
ap-5173	133	1	neurons	neuron	NOUN
ap-5173	133	2	and	and	CCONJ
ap-5173	133	3	connections	connection	NOUN
ap-5173	133	4	are	be	AUX
ap-5173	133	5	rated	rate	VERB
ap-5173	133	6	by	by	ADP
ap-5173	133	7	real	real	ADJ
ap-5173	133	8	numbers	number	NOUN
ap-5173	133	9	.	.	PUNCT
ap-5173	134	1	each	each	DET
ap-5173	134	2	neuron	neuron	PROPN
ap-5173	134	3	vi	vi	PROPN
ap-5173	134	4	is	be	AUX
ap-5173	134	5	rated	rate	VERB
ap-5173	134	6	by	by	ADP
ap-5173	134	7	a	a	DET
ap-5173	134	8	threshold	threshold	NOUN
ap-5173	134	9	ϑi	ϑi	PROPN
ap-5173	134	10	and	and	CCONJ
ap-5173	134	11	an	an	DET
ap-5173	134	12	activity	activity	NOUN
ap-5173	134	13	xi	xi	NOUN
ap-5173	134	14	.	.	PUNCT
ap-5173	135	1	similarly	similarly	ADV
ap-5173	135	2	,	,	PUNCT
ap-5173	135	3	each	each	DET
ap-5173	135	4	connection	connection	NOUN
ap-5173	135	5	(	(	PUNCT
ap-5173	135	6	vj	vj	INTJ
ap-5173	135	7	,	,	PUNCT
ap-5173	135	8	vi	vi	PROPN
ap-5173	135	9	)	)	PUNCT
ap-5173	135	10	is	be	AUX
ap-5173	135	11	rated	rate	VERB
ap-5173	135	12	by	by	ADP
ap-5173	135	13	a	a	DET
ap-5173	135	14	weighting	weighting	NOUN
ap-5173	135	15	coefficient	coefficient	NOUN
ap-5173	135	16	(	(	PUNCT
ap-5173	135	17	or	or	CCONJ
ap-5173	135	18	simply	simply	ADV
ap-5173	135	19	,	,	PUNCT
ap-5173	135	20	by	by	ADP
ap-5173	135	21	weight	weight	NOUN
ap-5173	135	22	)	)	PUNCT
ap-5173	135	23	wij	wij	PROPN
ap-5173	135	24	.	.	PUNCT
ap-5173	136	1	the	the	DET
ap-5173	136	2	activities	activity	NOUN
ap-5173	136	3	of	of	ADP
ap-5173	136	4	hidden	hide	VERB
ap-5173	136	5	325	325	NUM
ap-5173	136	6	j.	j.	PROPN
ap-5173	136	7	kačur	kačur	PROPN
ap-5173	136	8	,	,	PUNCT
ap-5173	136	9	m.	m.	PROPN
ap-5173	136	10	durdán	durdán	PROPN
ap-5173	136	11	,	,	PUNCT
ap-5173	136	12	m.	m.	NOUN
ap-5173	136	13	laciak	laciak	NOUN
ap-5173	136	14	,	,	PUNCT
ap-5173	136	15	p.	p.	PROPN
ap-5173	136	16	flegner	flegner	PROPN
ap-5173	136	17	acta	acta	PROPN
ap-5173	136	18	polytechnica	polytechnica	PROPN
ap-5173	136	19	and	and	CCONJ
ap-5173	136	20	output	output	NOUN
ap-5173	136	21	neurons	neuron	NOUN
ap-5173	136	22	are	be	AUX
ap-5173	136	23	determined	determine	VERB
ap-5173	136	24	by	by	ADP
ap-5173	136	25	the	the	DET
ap-5173	136	26	following	follow	VERB
ap-5173	136	27	equation	equation	NOUN
ap-5173	136	28	[	[	X
ap-5173	136	29	27	27	NUM
ap-5173	136	30	]	]	SYM
ap-5173	136	31	:	:	PUNCT
ap-5173	136	32	xi	xi	X
ap-5173	136	33	=	=	SYM
ap-5173	136	34	t(ξi	t(ξi	PROPN
ap-5173	136	35	)	)	PUNCT
ap-5173	136	36	(	(	PUNCT
ap-5173	136	37	1	1	X
ap-5173	136	38	)	)	PUNCT
ap-5173	137	1	ξi	ξi	NOUN
ap-5173	138	1	=	=	PUNCT
ap-5173	139	1	∑	∑	PUNCT
ap-5173	139	2	j∈γ−1	j∈γ−1	PROPN
ap-5173	139	3	i	i	PRON
ap-5173	139	4	wijxj	wijxj	VERB
ap-5173	140	1	+	+	CCONJ
ap-5173	140	2	ϑi	ϑi	PROPN
ap-5173	140	3	(	(	PUNCT
ap-5173	140	4	2	2	NUM
ap-5173	140	5	)	)	PUNCT
ap-5173	140	6	where	where	SCONJ
ap-5173	140	7	a	a	DET
ap-5173	140	8	summation	summation	NOUN
ap-5173	140	9	runs	run	VERB
ap-5173	140	10	through	through	ADP
ap-5173	140	11	neurons	neuron	NOUN
ap-5173	140	12	which	which	PRON
ap-5173	140	13	are	be	AUX
ap-5173	140	14	predecessors	predecessor	NOUN
ap-5173	140	15	of	of	ADP
ap-5173	140	16	the	the	DET
ap-5173	140	17	neuron	neuron	PROPN
ap-5173	140	18	vi	vi	PROPN
ap-5173	140	19	and	and	CCONJ
ap-5173	140	20	variable	variable	NOUN
ap-5173	140	21	ξ	ξ	PROPN
ap-5173	140	22	is	be	AUX
ap-5173	140	23	called	call	VERB
ap-5173	140	24	the	the	DET
ap-5173	140	25	potential	potential	NOUN
ap-5173	140	26	of	of	ADP
ap-5173	140	27	the	the	DET
ap-5173	140	28	neuron	neuron	PROPN
ap-5173	140	29	vi	vi	PROPN
ap-5173	140	30	.	.	PROPN
ap-5173	140	31	for	for	ADP
ap-5173	140	32	defining	define	VERB
ap-5173	140	33	the	the	DET
ap-5173	140	34	oriented	orient	VERB
ap-5173	140	35	graph	graph	NOUN
ap-5173	140	36	g	g	NOUN
ap-5173	140	37	,	,	PUNCT
ap-5173	140	38	we	we	PRON
ap-5173	140	39	used	use	VERB
ap-5173	140	40	the	the	DET
ap-5173	140	41	view	view	NOUN
ap-5173	140	42	of	of	ADP
ap-5173	140	43	γ	γ	NOUN
ap-5173	140	44	that	that	PRON
ap-5173	140	45	assigns	assign	VERB
ap-5173	140	46	to	to	ADP
ap-5173	140	47	each	each	DET
ap-5173	140	48	vertex	vertex	NOUN
ap-5173	140	49	v	v	ADP
ap-5173	140	50	∈	∈	NOUN
ap-5173	140	51	v	v	ADP
ap-5173	140	52	a	a	DET
ap-5173	140	53	subset	subset	NOUN
ap-5173	140	54	γ(v	γ(v	NOUN
ap-5173	140	55	)	)	PUNCT
ap-5173	140	56	⊂	⊂	PROPN
ap-5173	140	57	v	v	ADP
ap-5173	140	58	that	that	PRON
ap-5173	140	59	contains	contain	VERB
ap-5173	140	60	those	those	DET
ap-5173	140	61	neurons	neuron	NOUN
ap-5173	140	62	that	that	PRON
ap-5173	140	63	are	be	AUX
ap-5173	140	64	endpoints	endpoint	NOUN
ap-5173	140	65	on	on	ADP
ap-5173	140	66	the	the	DET
ap-5173	140	67	connections	connection	NOUN
ap-5173	140	68	that	that	PRON
ap-5173	140	69	are	be	AUX
ap-5173	140	70	going	go	VERB
ap-5173	140	71	out	out	ADP
ap-5173	140	72	from	from	ADP
ap-5173	140	73	the	the	DET
ap-5173	140	74	vertex	vertex	NOUN
ap-5173	140	75	v	v	ADP
ap-5173	140	76	[	[	X
ap-5173	140	77	28	28	NUM
ap-5173	140	78	]	]	PUNCT
ap-5173	140	79	.	.	PUNCT
ap-5173	141	1	the	the	DET
ap-5173	141	2	neurons	neuron	NOUN
ap-5173	141	3	of	of	ADP
ap-5173	141	4	the	the	DET
ap-5173	141	5	γ(v	γ(v	PROPN
ap-5173	141	6	)	)	PUNCT
ap-5173	141	7	subset	subset	NOUN
ap-5173	141	8	are	be	AUX
ap-5173	141	9	called	call	VERB
ap-5173	141	10	the	the	DET
ap-5173	141	11	descendents	descendent	NOUN
ap-5173	141	12	of	of	ADP
ap-5173	141	13	the	the	DET
ap-5173	141	14	vertex	vertex	NOUN
ap-5173	141	15	v	v	NOUN
ap-5173	141	16	in	in	ADP
ap-5173	141	17	the	the	DET
ap-5173	141	18	graph	graph	NOUN
ap-5173	141	19	g.	g.	NOUN
ap-5173	141	20	the	the	DET
ap-5173	141	21	“	"	PUNCT
ap-5173	141	22	inverse	inverse	NOUN
ap-5173	141	23	”	"	PUNCT
ap-5173	141	24	γ−1	γ−1	ADJ
ap-5173	141	25	view	view	NOUN
ap-5173	141	26	will	will	AUX
ap-5173	141	27	assigns	assign	VERB
ap-5173	141	28	to	to	ADP
ap-5173	141	29	each	each	DET
ap-5173	141	30	vertex	vertex	NOUN
ap-5173	141	31	v	v	ADP
ap-5173	141	32	∈	∈	NOUN
ap-5173	141	33	v	v	ADP
ap-5173	141	34	a	a	DET
ap-5173	141	35	subset	subset	NOUN
ap-5173	141	36	γ−1(v	γ−1(v	NOUN
ap-5173	141	37	)	)	PUNCT
ap-5173	142	1	⊂	⊂	PROPN
ap-5173	143	1	v	v	ADP
ap-5173	143	2	of	of	ADP
ap-5173	143	3	the	the	DET
ap-5173	143	4	gamma	gamma	NOUN
ap-5173	143	5	composed	compose	VERB
ap-5173	143	6	of	of	ADP
ap-5173	143	7	the	the	DET
ap-5173	143	8	“	"	PUNCT
ap-5173	143	9	descendents	descendent	NOUN
ap-5173	143	10	”	"	PUNCT
ap-5173	143	11	of	of	ADP
ap-5173	143	12	the	the	DET
ap-5173	143	13	vertex	vertex	NOUN
ap-5173	143	14	v	v	NOUN
ap-5173	143	15	in	in	ADP
ap-5173	143	16	the	the	DET
ap-5173	143	17	graph	graph	NOUN
ap-5173	143	18	g.	g.	NOUN
ap-5173	143	19	neuronal	neuronal	ADJ
ap-5173	143	20	activities	activity	NOUN
ap-5173	143	21	form	form	VERB
ap-5173	143	22	a	a	DET
ap-5173	143	23	vector	vector	NOUN
ap-5173	143	24	x	x	PUNCT
ap-5173	143	25	=	=	SYM
ap-5173	143	26	(	(	PUNCT
ap-5173	143	27	x1	x1	PROPN
ap-5173	143	28	,	,	PUNCT
ap-5173	143	29	x2	x2	PROPN
ap-5173	143	30	,	,	PUNCT
ap-5173	143	31	...	...	PUNCT
ap-5173	143	32	xn	xn	PROPN
ap-5173	143	33	)	)	PUNCT
ap-5173	143	34	.	.	PUNCT
ap-5173	144	1	this	this	DET
ap-5173	144	2	vector	vector	NOUN
ap-5173	144	3	can	can	AUX
ap-5173	144	4	be	be	AUX
ap-5173	144	5	formally	formally	ADV
ap-5173	144	6	decomposed	decompose	VERB
ap-5173	144	7	into	into	ADP
ap-5173	144	8	three	three	NUM
ap-5173	144	9	subsets	subset	NOUN
ap-5173	144	10	containing	contain	VERB
ap-5173	144	11	input	input	NOUN
ap-5173	144	12	,	,	PUNCT
ap-5173	144	13	hidden	hide	VERB
ap-5173	144	14	,	,	PUNCT
ap-5173	144	15	and	and	CCONJ
ap-5173	144	16	output	output	NOUN
ap-5173	144	17	activities	activity	NOUN
ap-5173	144	18	x	x	PUNCT
ap-5173	144	19	=	=	SYM
ap-5173	144	20	xi	xi	PROPN
ap-5173	144	21	⊕	⊕	PROPN
ap-5173	144	22	xh	xh	PROPN
ap-5173	144	23	⊕	⊕	PROPN
ap-5173	144	24	xo	xo	PROPN
ap-5173	144	25	(	(	PUNCT
ap-5173	144	26	3	3	NUM
ap-5173	144	27	)	)	PUNCT
ap-5173	144	28	hidden	hide	VERB
ap-5173	144	29	activities	activity	NOUN
ap-5173	144	30	are	be	AUX
ap-5173	144	31	not	not	PART
ap-5173	144	32	explicitly	explicitly	ADV
ap-5173	144	33	mentioned	mention	VERB
ap-5173	144	34	;	;	PUNCT
ap-5173	144	35	they	they	PRON
ap-5173	144	36	only	only	ADV
ap-5173	144	37	play	play	VERB
ap-5173	144	38	the	the	DET
ap-5173	144	39	role	role	NOUN
ap-5173	144	40	of	of	ADP
ap-5173	144	41	intermediate	intermediate	ADJ
ap-5173	144	42	results	result	NOUN
ap-5173	144	43	.	.	PUNCT
ap-5173	145	1	in	in	ADP
ap-5173	145	2	general	general	ADJ
ap-5173	145	3	,	,	PUNCT
ap-5173	145	4	to	to	PART
ap-5173	145	5	calculate	calculate	VERB
ap-5173	145	6	activities	activity	NOUN
ap-5173	145	7	from	from	ADP
ap-5173	145	8	the	the	DET
ap-5173	145	9	layer	layer	NOUN
ap-5173	145	10	li	li	PROPN
ap-5173	145	11	(	(	PUNCT
ap-5173	145	12	where	where	SCONJ
ap-5173	145	13	i	i	PRON
ap-5173	145	14	>	>	X
ap-5173	145	15	1	1	NUM
ap-5173	145	16	)	)	PUNCT
ap-5173	145	17	,	,	PUNCT
ap-5173	145	18	it	it	PRON
ap-5173	145	19	is	be	AUX
ap-5173	145	20	only	only	ADV
ap-5173	145	21	needed	need	VERB
ap-5173	145	22	to	to	PART
ap-5173	145	23	know	know	VERB
ap-5173	145	24	the	the	DET
ap-5173	145	25	activities	activity	NOUN
ap-5173	145	26	from	from	ADP
ap-5173	145	27	the	the	DET
ap-5173	145	28	lower	low	ADJ
ap-5173	145	29	layers	layer	NOUN
ap-5173	145	30	l1	l1	PROPN
ap-5173	145	31	,	,	PUNCT
ap-5173	145	32	l2	l2	NOUN
ap-5173	145	33	,	,	PUNCT
ap-5173	145	34	...	...	PUNCT
ap-5173	145	35	,	,	PUNCT
ap-5173	145	36	li−1	li−1	PROPN
ap-5173	145	37	.	.	PUNCT
ap-5173	146	1	in	in	ADP
ap-5173	146	2	this	this	DET
ap-5173	146	3	recursive	recursive	ADJ
ap-5173	146	4	manner	manner	NOUN
ap-5173	146	5	,	,	PUNCT
ap-5173	146	6	the	the	DET
ap-5173	146	7	activities	activity	NOUN
ap-5173	146	8	of	of	ADP
ap-5173	146	9	all	all	DET
ap-5173	146	10	neurons	neuron	NOUN
ap-5173	146	11	can	can	AUX
ap-5173	146	12	be	be	AUX
ap-5173	146	13	gradually	gradually	ADV
ap-5173	146	14	calculated	calculate	VERB
ap-5173	146	15	.	.	PUNCT
ap-5173	147	1	activities	activity	NOUN
ap-5173	147	2	of	of	ADP
ap-5173	147	3	output	output	NOUN
ap-5173	147	4	neurons	neuron	NOUN
ap-5173	147	5	are	be	AUX
ap-5173	147	6	calculated	calculate	VERB
ap-5173	147	7	as	as	ADP
ap-5173	147	8	the	the	DET
ap-5173	147	9	last	last	ADJ
ap-5173	147	10	.	.	PUNCT
ap-5173	148	1	for	for	ADP
ap-5173	148	2	this	this	DET
ap-5173	148	3	reason	reason	NOUN
ap-5173	148	4	,	,	PUNCT
ap-5173	148	5	for	for	ADP
ap-5173	148	6	nns	nn	NOUN
ap-5173	148	7	represented	represent	VERB
ap-5173	148	8	by	by	ADP
ap-5173	148	9	the	the	DET
ap-5173	148	10	acyclic	acyclic	ADJ
ap-5173	148	11	graph	graph	NOUN
ap-5173	148	12	,	,	PUNCT
ap-5173	148	13	the	the	DET
ap-5173	148	14	name	name	NOUN
ap-5173	148	15	εfeed	εfeed	NOUN
ap-5173	148	16	-	-	PUNCT
ap-5173	148	17	forward	forward	NOUN
ap-5173	148	18	nnsε	nnsε	NOUN
ap-5173	148	19	is	be	AUX
ap-5173	148	20	used	use	VERB
ap-5173	148	21	.	.	PUNCT
ap-5173	149	1	the	the	DET
ap-5173	149	2	adaptation	adaptation	NOUN
ap-5173	149	3	of	of	ADP
ap-5173	149	4	the	the	DET
ap-5173	149	5	nn	nn	PROPN
ap-5173	149	6	is	be	AUX
ap-5173	149	7	based	base	VERB
ap-5173	149	8	on	on	ADP
ap-5173	149	9	searching	search	VERB
ap-5173	149	10	for	for	ADP
ap-5173	149	11	such	such	ADJ
ap-5173	149	12	threshold	threshold	NOUN
ap-5173	149	13	and	and	CCONJ
ap-5173	149	14	weighting	weight	VERB
ap-5173	149	15	coefficients	coefficient	NOUN
ap-5173	149	16	,	,	PUNCT
ap-5173	149	17	which	which	PRON
ap-5173	149	18	,	,	PUNCT
ap-5173	149	19	for	for	ADP
ap-5173	149	20	a	a	DET
ap-5173	149	21	given	give	VERB
ap-5173	149	22	pair	pair	NOUN
ap-5173	149	23	of	of	ADP
ap-5173	149	24	input	input	NOUN
ap-5173	149	25	vector	vector	NOUN
ap-5173	149	26	of	of	ADP
ap-5173	149	27	activities	activity	NOUN
ap-5173	149	28	xi	xi	X
ap-5173	149	29	and	and	CCONJ
ap-5173	149	30	desired	desire	VERB
ap-5173	149	31	output	output	NOUN
ap-5173	149	32	vector	vector	NOUN
ap-5173	149	33	of	of	ADP
ap-5173	149	34	activities	activity	NOUN
ap-5173	149	35	x̂o	x̂o	X
ap-5173	149	36	i.e.	i.e.	X
ap-5173	149	37	,	,	PUNCT
ap-5173	149	38	xi	xi	PROPN
ap-5173	149	39	/	/	SYM
ap-5173	149	40	x̂o	x̂o	PROPN
ap-5173	149	41	and	and	CCONJ
ap-5173	149	42	the	the	DET
ap-5173	149	43	calculated	calculate	VERB
ap-5173	149	44	output	output	NOUN
ap-5173	149	45	vector	vector	PROPN
ap-5173	149	46	xo	xo	PROPN
ap-5173	149	47	,	,	PUNCT
ap-5173	149	48	minimize	minimize	VERB
ap-5173	149	49	the	the	DET
ap-5173	149	50	difference	difference	NOUN
ap-5173	149	51	between	between	ADP
ap-5173	149	52	the	the	DET
ap-5173	149	53	output	output	NOUN
ap-5173	149	54	activities	activity	NOUN
ap-5173	149	55	xo	xo	PROPN
ap-5173	149	56	and	and	CCONJ
ap-5173	149	57	x̂o	x̂o	PROPN
ap-5173	150	1	.	.	PROPN
ap-5173	150	2	vector	vector	PROPN
ap-5173	150	3	x̂o	x̂o	PROPN
ap-5173	150	4	represents	represent	VERB
ap-5173	150	5	the	the	DET
ap-5173	150	6	desired	desire	VERB
ap-5173	150	7	measured	measure	VERB
ap-5173	150	8	(	(	PUNCT
ap-5173	150	9	i.e.	i.e.	X
ap-5173	150	10	,	,	PUNCT
ap-5173	150	11	experimental	experimental	ADJ
ap-5173	150	12	)	)	PUNCT
ap-5173	150	13	data	datum	NOUN
ap-5173	150	14	.	.	PUNCT
ap-5173	151	1	the	the	DET
ap-5173	151	2	aim	aim	NOUN
ap-5173	151	3	of	of	ADP
ap-5173	151	4	the	the	DET
ap-5173	151	5	adaptation	adaptation	NOUN
ap-5173	151	6	process	process	NOUN
ap-5173	151	7	is	be	AUX
ap-5173	151	8	to	to	PART
ap-5173	151	9	find	find	VERB
ap-5173	151	10	such	such	ADJ
ap-5173	151	11	thresholds	threshold	NOUN
ap-5173	151	12	and	and	CCONJ
ap-5173	151	13	weighting	weight	VERB
ap-5173	151	14	coefficients	coefficient	NOUN
ap-5173	151	15	that	that	PRON
ap-5173	151	16	minimize	minimize	VERB
ap-5173	151	17	the	the	DET
ap-5173	151	18	objective	objective	ADJ
ap-5173	151	19	function	function	NOUN
ap-5173	151	20	e.	e.	PROPN
ap-5173	151	21	for	for	ADP
ap-5173	151	22	more	more	ADJ
ap-5173	151	23	pairs	pair	NOUN
ap-5173	151	24	of	of	ADP
ap-5173	151	25	input	input	NOUN
ap-5173	151	26	and	and	CCONJ
ap-5173	151	27	output	output	NOUN
ap-5173	151	28	vectors	vector	NOUN
ap-5173	151	29	x(1	x(1	PROPN
ap-5173	151	30	)	)	PUNCT
ap-5173	152	1	i	i	PRON
ap-5173	152	2	/x̂(1	/x̂(1	PUNCT
ap-5173	152	3	)	)	PUNCT
ap-5173	153	1	o	o	NOUN
ap-5173	153	2	,	,	PUNCT
ap-5173	153	3	x(2	x(2	PROPN
ap-5173	153	4	)	)	PUNCT
ap-5173	153	5	i	i	PRON
ap-5173	153	6	/x̂(2	/x̂(2	PUNCT
ap-5173	153	7	)	)	PUNCT
ap-5173	154	1	o	o	INTJ
ap-5173	154	2	,	,	PUNCT
ap-5173	154	3	...	...	PUNCT
ap-5173	154	4	,	,	PUNCT
ap-5173	154	5	x(r	x(r	PRON
ap-5173	154	6	)	)	PUNCT
ap-5173	154	7	i	i	PRON
ap-5173	154	8	/x̂(r	/x̂(r	PUNCT
ap-5173	154	9	)	)	PUNCT
ap-5173	155	1	o	o	NOUN
ap-5173	155	2	,	,	PUNCT
ap-5173	155	3	(	(	PUNCT
ap-5173	155	4	4	4	X
ap-5173	155	5	)	)	PUNCT
ap-5173	155	6	which	which	PRON
ap-5173	155	7	represent	represent	VERB
ap-5173	155	8	the	the	DET
ap-5173	155	9	training	training	NOUN
ap-5173	155	10	set	set	NOUN
ap-5173	155	11	,	,	PUNCT
ap-5173	155	12	the	the	DET
ap-5173	155	13	objective	objective	ADJ
ap-5173	155	14	function	function	NOUN
ap-5173	155	15	has	have	VERB
ap-5173	155	16	the	the	DET
ap-5173	155	17	following	follow	VERB
ap-5173	155	18	form	form	NOUN
ap-5173	155	19	:	:	PUNCT
ap-5173	155	20	e	e	X
ap-5173	155	21	=	=	PUNCT
ap-5173	155	22	r∑	r∑	X
ap-5173	155	23	i=1	i=1	X
ap-5173	155	24	ei	ei	NOUN
ap-5173	156	1	=	=	PUNCT
ap-5173	156	2	r∑	r∑	NOUN
ap-5173	156	3	i=1	i=1	PROPN
ap-5173	156	4	1	1	NUM
ap-5173	156	5	2(x(i	2(x(i	NUM
ap-5173	156	6	)	)	PUNCT
ap-5173	156	7	o	o	NOUN
ap-5173	156	8	−	−	PROPN
ap-5173	156	9	x̂(i	x̂(i	NUM
ap-5173	156	10	)	)	PUNCT
ap-5173	156	11	o	o	NOUN
ap-5173	156	12	)	)	PUNCT
ap-5173	156	13	2	2	NUM
ap-5173	156	14	(	(	PUNCT
ap-5173	156	15	5	5	NUM
ap-5173	156	16	)	)	PUNCT
ap-5173	156	17	where	where	SCONJ
ap-5173	156	18	x(i	x(i	PROPN
ap-5173	156	19	)	)	PUNCT
ap-5173	156	20	o	o	NOUN
ap-5173	156	21	is	be	AUX
ap-5173	156	22	the	the	DET
ap-5173	156	23	output	output	NOUN
ap-5173	156	24	vector	vector	NOUN
ap-5173	156	25	of	of	ADP
ap-5173	156	26	the	the	DET
ap-5173	156	27	nn	nn	PROPN
ap-5173	156	28	as	as	ADP
ap-5173	156	29	a	a	DET
ap-5173	156	30	response	response	NOUN
ap-5173	156	31	to	to	ADP
ap-5173	156	32	the	the	DET
ap-5173	156	33	input	input	NOUN
ap-5173	156	34	vector	vector	NOUN
ap-5173	156	35	x(i	x(i	PROPN
ap-5173	156	36	)	)	PUNCT
ap-5173	156	37	i	i	PROPN
ap-5173	156	38	and	and	CCONJ
ap-5173	156	39	x̂(i	x̂(i	X
ap-5173	156	40	)	)	PUNCT
ap-5173	156	41	o	o	NOUN
ap-5173	156	42	the	the	DET
ap-5173	156	43	desired	desire	VERB
ap-5173	156	44	output	output	NOUN
ap-5173	156	45	vector	vector	NOUN
ap-5173	156	46	is	be	AUX
ap-5173	156	47	assigned	assign	VERB
ap-5173	156	48	to	to	ADP
ap-5173	156	49	the	the	DET
ap-5173	156	50	input	input	NOUN
ap-5173	156	51	x(i	x(i	PROPN
ap-5173	156	52	)	)	PUNCT
ap-5173	157	1	i	i	PRON
ap-5173	157	2	.	.	PUNCT
ap-5173	158	1	this	this	DET
ap-5173	158	2	minimization	minimization	NOUN
ap-5173	158	3	of	of	ADP
ap-5173	158	4	the	the	DET
ap-5173	158	5	non	non	ADJ
ap-5173	158	6	-	-	ADJ
ap-5173	158	7	linear	linear	ADJ
ap-5173	158	8	objective	objective	ADJ
ap-5173	158	9	function	function	NOUN
ap-5173	158	10	can	can	AUX
ap-5173	158	11	be	be	AUX
ap-5173	158	12	performed	perform	VERB
ap-5173	158	13	by	by	ADP
ap-5173	158	14	many	many	ADJ
ap-5173	158	15	optimization	optimization	NOUN
ap-5173	158	16	methods	method	NOUN
ap-5173	158	17	known	know	VERB
ap-5173	158	18	in	in	ADP
ap-5173	158	19	numerical	numerical	ADJ
ap-5173	158	20	mathematics	mathematic	NOUN
ap-5173	158	21	.	.	PUNCT
ap-5173	159	1	the	the	DET
ap-5173	159	2	most	most	ADV
ap-5173	159	3	effective	effective	ADJ
ap-5173	159	4	are	be	AUX
ap-5173	159	5	so	so	ADV
ap-5173	159	6	-	-	PUNCT
ap-5173	159	7	called	call	VERB
ap-5173	159	8	gradient	gradient	ADJ
ap-5173	159	9	methods	method	NOUN
ap-5173	159	10	,	,	PUNCT
ap-5173	159	11	based	base	VERB
ap-5173	159	12	on	on	ADP
ap-5173	159	13	the	the	DET
ap-5173	159	14	use	use	NOUN
ap-5173	159	15	of	of	ADP
ap-5173	159	16	a	a	DET
ap-5173	159	17	gradient	gradient	NOUN
ap-5173	159	18	of	of	ADP
ap-5173	159	19	the	the	DET
ap-5173	159	20	objective	objective	ADJ
ap-5173	159	21	function	function	NOUN
ap-5173	159	22	for	for	ADP
ap-5173	159	23	the	the	DET
ap-5173	159	24	iterative	iterative	ADJ
ap-5173	159	25	construction	construction	NOUN
ap-5173	159	26	of	of	ADP
ap-5173	159	27	an	an	DET
ap-5173	159	28	optimal	optimal	ADJ
ap-5173	159	29	solution	solution	NOUN
ap-5173	159	30	.	.	PUNCT
ap-5173	160	1	when	when	SCONJ
ap-5173	160	2	calculating	calculate	VERB
ap-5173	160	3	the	the	DET
ap-5173	160	4	gradient	gradient	NOUN
ap-5173	160	5	of	of	ADP
ap-5173	160	6	the	the	DET
ap-5173	160	7	objective	objective	ADJ
ap-5173	160	8	function	function	NOUN
ap-5173	160	9	that	that	PRON
ap-5173	160	10	contains	contain	VERB
ap-5173	160	11	more	more	ADJ
ap-5173	160	12	than	than	ADP
ap-5173	160	13	one	one	NUM
ap-5173	160	14	pair	pair	NOUN
ap-5173	160	15	of	of	ADP
ap-5173	160	16	input	input	NOUN
ap-5173	160	17	-	-	PUNCT
ap-5173	160	18	otput	otput	NOUN
ap-5173	160	19	vectors	vector	NOUN
ap-5173	160	20	xi	xi	PROPN
ap-5173	160	21	/	/	SYM
ap-5173	160	22	x̂o	x̂o	PROPN
ap-5173	160	23	(	(	PUNCT
ap-5173	160	24	see	see	VERB
ap-5173	160	25	equation	equation	NOUN
ap-5173	160	26	(	(	PUNCT
ap-5173	160	27	5	5	NUM
ap-5173	160	28	)	)	PUNCT
ap-5173	160	29	)	)	PUNCT
ap-5173	161	1	then	then	ADV
ap-5173	161	2	,	,	PUNCT
ap-5173	161	3	the	the	DET
ap-5173	161	4	overall	overall	ADJ
ap-5173	161	5	gradient	gradient	NOUN
ap-5173	161	6	of	of	ADP
ap-5173	161	7	the	the	DET
ap-5173	161	8	objective	objective	ADJ
ap-5173	161	9	function	function	NOUN
ap-5173	161	10	is	be	AUX
ap-5173	161	11	simply	simply	ADV
ap-5173	161	12	determined	determined	ADJ
ap-5173	161	13	as	as	ADP
ap-5173	161	14	the	the	DET
ap-5173	161	15	sum	sum	NOUN
ap-5173	161	16	of	of	ADP
ap-5173	161	17	the	the	DET
ap-5173	161	18	gradients	gradient	NOUN
ap-5173	161	19	for	for	ADP
ap-5173	161	20	all	all	DET
ap-5173	161	21	pairs	pair	NOUN
ap-5173	161	22	xi	xi	PROPN
ap-5173	161	23	/	/	SYM
ap-5173	161	24	x̂o	x̂o	PROPN
ap-5173	161	25	of	of	ADP
ap-5173	161	26	the	the	DET
ap-5173	161	27	training	training	NOUN
ap-5173	161	28	set	set	NOUN
ap-5173	161	29	(	(	PUNCT
ap-5173	161	30	4	4	NUM
ap-5173	161	31	)	)	PUNCT
ap-5173	161	32	.	.	PUNCT
ap-5173	162	1	grad	grad	NOUN
ap-5173	162	2	e	e	PROPN
ap-5173	162	3	=	=	PUNCT
ap-5173	162	4	r∑	r∑	X
ap-5173	162	5	i=1	i=1	PROPN
ap-5173	162	6	grad	grad	PROPN
ap-5173	162	7	e(i	e(i	PROPN
ap-5173	162	8	)	)	PUNCT
ap-5173	162	9	(	(	PUNCT
ap-5173	162	10	6	6	NUM
ap-5173	162	11	)	)	PUNCT
ap-5173	162	12	where	where	SCONJ
ap-5173	162	13	the	the	DET
ap-5173	162	14	objective	objective	ADJ
ap-5173	162	15	function	function	NOUN
ap-5173	162	16	e(i	e(i	PROPN
ap-5173	162	17	)	)	PUNCT
ap-5173	162	18	is	be	AUX
ap-5173	162	19	defined	define	VERB
ap-5173	162	20	for	for	ADP
ap-5173	162	21	i	i	PROPN
ap-5173	162	22	-	-	PUNCT
ap-5173	162	23	th	th	VERB
ap-5173	162	24	pair	pair	NOUN
ap-5173	162	25	xi	xi	PROPN
ap-5173	162	26	/	/	SYM
ap-5173	162	27	x̂o	x̂o	PROPN
ap-5173	162	28	of	of	ADP
ap-5173	162	29	the	the	DET
ap-5173	162	30	training	training	NOUN
ap-5173	162	31	set	set	NOUN
ap-5173	162	32	.	.	PUNCT
ap-5173	163	1	formally	formally	ADV
ap-5173	163	2	,	,	PUNCT
ap-5173	163	3	the	the	DET
ap-5173	163	4	adapted	adapt	VERB
ap-5173	163	5	nn	nn	PROPN
ap-5173	163	6	is	be	AUX
ap-5173	163	7	described	describe	VERB
ap-5173	163	8	by	by	ADP
ap-5173	163	9	the	the	DET
ap-5173	163	10	coefficients	coefficient	NOUN
ap-5173	163	11	determined	determine	VERB
ap-5173	163	12	as	as	ADP
ap-5173	163	13	(	(	PUNCT
ap-5173	163	14	w,ϑ	w,ϑ	NOUN
ap-5173	163	15	)	)	PUNCT
ap-5173	163	16	=	=	SYM
ap-5173	163	17	argmin	argmin	NOUN
ap-5173	163	18	(	(	PUNCT
ap-5173	163	19	w,ϑ	w,ϑ	PROPN
ap-5173	163	20	)	)	PUNCT
ap-5173	163	21	e(w,ϑ	e(w,ϑ	NUM
ap-5173	163	22	)	)	PUNCT
ap-5173	163	23	(	(	PUNCT
ap-5173	163	24	7	7	X
ap-5173	163	25	)	)	PUNCT
ap-5173	163	26	the	the	DET
ap-5173	163	27	settings	setting	NOUN
ap-5173	163	28	of	of	ADP
ap-5173	163	29	an	an	DET
ap-5173	163	30	applied	apply	VERB
ap-5173	163	31	bpnn	bpnn	NOUN
ap-5173	163	32	and	and	CCONJ
ap-5173	163	33	evaluation	evaluation	NOUN
ap-5173	163	34	of	of	ADP
ap-5173	163	35	its	its	PRON
ap-5173	163	36	performance	performance	NOUN
ap-5173	163	37	on	on	ADP
ap-5173	163	38	the	the	DET
ap-5173	163	39	ucg	ucg	PROPN
ap-5173	163	40	data	datum	NOUN
ap-5173	163	41	prediction	prediction	NOUN
ap-5173	163	42	is	be	AUX
ap-5173	163	43	discussed	discuss	VERB
ap-5173	163	44	in	in	ADP
ap-5173	163	45	section	section	NOUN
ap-5173	163	46	4.1	4.1	NUM
ap-5173	163	47	.	.	PUNCT
ap-5173	164	1	2.2	2.2	NUM
ap-5173	164	2	.	.	PUNCT
ap-5173	164	3	multivariate	multivariate	VERB
ap-5173	164	4	adaptive	adaptive	ADJ
ap-5173	164	5	regression	regression	NOUN
ap-5173	164	6	splines	spline	NOUN
ap-5173	164	7	multivariate	multivariate	VERB
ap-5173	164	8	adaptive	adaptive	ADJ
ap-5173	164	9	regression	regression	NOUN
ap-5173	164	10	splines	spline	NOUN
ap-5173	164	11	(	(	PUNCT
ap-5173	164	12	mars	mar	NOUN
ap-5173	164	13	)	)	PUNCT
ap-5173	164	14	is	be	AUX
ap-5173	164	15	the	the	DET
ap-5173	164	16	method	method	NOUN
ap-5173	164	17	of	of	ADP
ap-5173	164	18	regression	regression	NOUN
ap-5173	164	19	that	that	PRON
ap-5173	164	20	was	be	AUX
ap-5173	164	21	developed	develop	VERB
ap-5173	164	22	by	by	ADP
ap-5173	164	23	[	[	X
ap-5173	164	24	29	29	NUM
ap-5173	164	25	]	]	PUNCT
ap-5173	164	26	.	.	PUNCT
ap-5173	165	1	many	many	ADJ
ap-5173	165	2	works	work	NOUN
ap-5173	165	3	have	have	AUX
ap-5173	165	4	been	be	AUX
ap-5173	165	5	published	publish	VERB
ap-5173	165	6	that	that	PRON
ap-5173	165	7	discussed	discuss	VERB
ap-5173	165	8	the	the	DET
ap-5173	165	9	mars	mars	NOUN
ap-5173	165	10	method	method	NOUN
ap-5173	165	11	[	[	X
ap-5173	165	12	26	26	NUM
ap-5173	165	13	,	,	PUNCT
ap-5173	165	14	30–34	30–34	NUM
ap-5173	165	15	]	]	PUNCT
ap-5173	165	16	.	.	PUNCT
ap-5173	166	1	it	it	PRON
ap-5173	166	2	is	be	AUX
ap-5173	166	3	a	a	DET
ap-5173	166	4	non	non	ADJ
ap-5173	166	5	-	-	ADJ
ap-5173	166	6	parametric	parametric	ADJ
ap-5173	166	7	regression	regression	NOUN
ap-5173	166	8	technique	technique	NOUN
ap-5173	166	9	that	that	PRON
ap-5173	166	10	looks	look	VERB
ap-5173	166	11	like	like	ADP
ap-5173	166	12	an	an	DET
ap-5173	166	13	extension	extension	NOUN
ap-5173	166	14	of	of	ADP
ap-5173	166	15	linear	linear	PROPN
ap-5173	166	16	models	model	NOUN
ap-5173	166	17	.	.	PUNCT
ap-5173	167	1	this	this	DET
ap-5173	167	2	technique	technique	NOUN
ap-5173	167	3	automatically	automatically	ADV
ap-5173	167	4	models	model	VERB
ap-5173	167	5	non	non	ADJ
ap-5173	167	6	-	-	NOUN
ap-5173	167	7	linearities	linearity	NOUN
ap-5173	167	8	and	and	CCONJ
ap-5173	167	9	interactions	interaction	NOUN
ap-5173	167	10	between	between	ADP
ap-5173	167	11	variables	variable	NOUN
ap-5173	167	12	.	.	PUNCT
ap-5173	168	1	this	this	DET
ap-5173	168	2	technique	technique	NOUN
ap-5173	168	3	is	be	AUX
ap-5173	168	4	also	also	ADV
ap-5173	168	5	more	more	ADV
ap-5173	168	6	flexible	flexible	ADJ
ap-5173	168	7	than	than	ADP
ap-5173	168	8	linear	linear	ADJ
ap-5173	168	9	models	model	NOUN
ap-5173	168	10	and	and	CCONJ
ap-5173	168	11	is	be	AUX
ap-5173	168	12	suitable	suitable	ADJ
ap-5173	168	13	for	for	ADP
ap-5173	168	14	processing	process	VERB
ap-5173	168	15	large	large	ADJ
ap-5173	168	16	data	datum	NOUN
ap-5173	168	17	series	series	NOUN
ap-5173	168	18	.	.	PUNCT
ap-5173	169	1	this	this	DET
ap-5173	169	2	technique	technique	NOUN
ap-5173	169	3	can	can	AUX
ap-5173	169	4	serve	serve	VERB
ap-5173	169	5	for	for	ADP
ap-5173	169	6	a	a	DET
ap-5173	169	7	quick	quick	ADJ
ap-5173	169	8	prediction	prediction	NOUN
ap-5173	169	9	of	of	ADP
ap-5173	169	10	time	time	NOUN
ap-5173	169	11	series	series	PROPN
ap-5173	169	12	.	.	PUNCT
ap-5173	170	1	mars	mars	PROPN
ap-5173	170	2	is	be	AUX
ap-5173	170	3	similar	similar	ADJ
ap-5173	170	4	to	to	ADP
ap-5173	170	5	recursive	recursive	ADJ
ap-5173	170	6	partitioning	partitioning	NOUN
ap-5173	170	7	where	where	SCONJ
ap-5173	170	8	input	input	NOUN
ap-5173	170	9	data	datum	NOUN
ap-5173	170	10	are	be	AUX
ap-5173	170	11	divided	divide	VERB
ap-5173	170	12	into	into	ADP
ap-5173	170	13	discontinuous	discontinuous	ADJ
ap-5173	170	14	regions	region	NOUN
ap-5173	170	15	of	of	ADP
ap-5173	170	16	varying	vary	VERB
ap-5173	170	17	size	size	NOUN
ap-5173	170	18	.	.	PUNCT
ap-5173	171	1	then	then	ADV
ap-5173	171	2	,	,	PUNCT
ap-5173	171	3	the	the	DET
ap-5173	171	4	local	local	ADJ
ap-5173	171	5	model	model	NOUN
ap-5173	171	6	is	be	AUX
ap-5173	171	7	created	create	VERB
ap-5173	171	8	for	for	ADP
ap-5173	171	9	each	each	DET
ap-5173	171	10	region	region	NOUN
ap-5173	171	11	.	.	PUNCT
ap-5173	172	1	the	the	DET
ap-5173	172	2	size	size	NOUN
ap-5173	172	3	of	of	ADP
ap-5173	172	4	each	each	DET
ap-5173	172	5	area	area	NOUN
ap-5173	172	6	is	be	AUX
ap-5173	172	7	set	set	VERB
ap-5173	172	8	by	by	ADP
ap-5173	172	9	mars	mar	NOUN
ap-5173	172	10	as	as	SCONJ
ap-5173	172	11	required	require	VERB
ap-5173	172	12	.	.	PUNCT
ap-5173	173	1	in	in	ADP
ap-5173	173	2	mars	mar	NOUN
ap-5173	173	3	,	,	PUNCT
ap-5173	173	4	these	these	DET
ap-5173	173	5	regions	region	NOUN
ap-5173	173	6	are	be	AUX
ap-5173	173	7	smaller	small	ADJ
ap-5173	173	8	when	when	SCONJ
ap-5173	173	9	the	the	DET
ap-5173	173	10	relationship	relationship	NOUN
ap-5173	173	11	between	between	ADP
ap-5173	173	12	input	input	NOUN
ap-5173	173	13	and	and	CCONJ
ap-5173	173	14	output	output	NOUN
ap-5173	173	15	is	be	AUX
ap-5173	173	16	more	more	ADV
ap-5173	173	17	complex	complex	ADJ
ap-5173	173	18	.	.	PUNCT
ap-5173	174	1	mars	mar	NOUN
ap-5173	174	2	,	,	PUNCT
ap-5173	174	3	like	like	ADP
ap-5173	174	4	the	the	DET
ap-5173	174	5	recursive	recursive	ADJ
ap-5173	174	6	partitioning	partition	VERB
ap-5173	174	7	technique	technique	NOUN
ap-5173	174	8	,	,	PUNCT
ap-5173	174	9	performs	perform	VERB
ap-5173	174	10	the	the	DET
ap-5173	174	11	automatic	automatic	ADJ
ap-5173	174	12	selection	selection	NOUN
ap-5173	174	13	of	of	ADP
ap-5173	174	14	variables	variable	NOUN
ap-5173	174	15	,	,	PUNCT
ap-5173	174	16	so	so	SCONJ
ap-5173	174	17	the	the	DET
ap-5173	174	18	model	model	NOUN
ap-5173	174	19	includes	include	VERB
ap-5173	174	20	important	important	ADJ
ap-5173	174	21	(	(	PUNCT
ap-5173	174	22	useful	useful	ADJ
ap-5173	174	23	)	)	PUNCT
ap-5173	174	24	variables	variable	NOUN
ap-5173	174	25	and	and	CCONJ
ap-5173	174	26	excludes	exclude	VERB
ap-5173	174	27	non	non	ADJ
ap-5173	174	28	-	-	ADJ
ap-5173	174	29	essential	essential	ADJ
ap-5173	174	30	(	(	PUNCT
ap-5173	174	31	as	as	SCONJ
ap-5173	174	32	opposed	oppose	VERB
ap-5173	174	33	to	to	ADP
ap-5173	174	34	nn	nn	NUM
ap-5173	174	35	)	)	PUNCT
ap-5173	174	36	.	.	PUNCT
ap-5173	175	1	the	the	DET
ap-5173	175	2	mars	mars	NOUN
ap-5173	175	3	model	model	NOUN
ap-5173	175	4	is	be	AUX
ap-5173	175	5	adapted	adapt	VERB
ap-5173	175	6	based	base	VERB
ap-5173	175	7	on	on	ADP
ap-5173	175	8	the	the	DET
ap-5173	175	9	input	input	NOUN
ap-5173	175	10	training	training	NOUN
ap-5173	175	11	data	datum	NOUN
ap-5173	175	12	,	,	PUNCT
ap-5173	175	13	and	and	CCONJ
ap-5173	175	14	cross	cross	NOUN
ap-5173	175	15	-	-	ADJ
ap-5173	175	16	validation	validation	NOUN
ap-5173	175	17	is	be	AUX
ap-5173	175	18	used	use	VERB
ap-5173	175	19	to	to	PART
ap-5173	175	20	validate	validate	VERB
ap-5173	175	21	the	the	DET
ap-5173	175	22	resulting	result	VERB
ap-5173	175	23	model	model	NOUN
ap-5173	175	24	.	.	PUNCT
ap-5173	176	1	the	the	DET
ap-5173	176	2	resulting	result	VERB
ap-5173	176	3	model	model	NOUN
ap-5173	176	4	may	may	AUX
ap-5173	176	5	not	not	PART
ap-5173	176	6	only	only	ADV
ap-5173	176	7	be	be	AUX
ap-5173	176	8	stored	store	VERB
ap-5173	176	9	in	in	ADP
ap-5173	176	10	a	a	DET
ap-5173	176	11	pc	pc	NOUN
ap-5173	176	12	but	but	CCONJ
ap-5173	176	13	is	be	AUX
ap-5173	176	14	also	also	ADV
ap-5173	176	15	portable	portable	ADJ
ap-5173	176	16	,	,	PUNCT
ap-5173	176	17	and	and	CCONJ
ap-5173	176	18	there	there	PRON
ap-5173	176	19	is	be	VERB
ap-5173	176	20	easy	easy	ADJ
ap-5173	176	21	to	to	PART
ap-5173	176	22	see	see	VERB
ap-5173	176	23	the	the	DET
ap-5173	176	24	impact	impact	NOUN
ap-5173	176	25	of	of	ADP
ap-5173	176	26	each	each	DET
ap-5173	176	27	predictor	predictor	NOUN
ap-5173	176	28	(	(	PUNCT
ap-5173	176	29	the	the	DET
ap-5173	176	30	model	model	NOUN
ap-5173	176	31	is	be	AUX
ap-5173	176	32	easier	easy	ADJ
ap-5173	176	33	to	to	PART
ap-5173	176	34	understand	understand	VERB
ap-5173	176	35	by	by	ADP
ap-5173	176	36	humans	human	NOUN
ap-5173	176	37	)	)	PUNCT
ap-5173	176	38	.	.	PUNCT
ap-5173	177	1	in	in	ADP
ap-5173	177	2	order	order	NOUN
ap-5173	177	3	to	to	PART
ap-5173	177	4	create	create	VERB
ap-5173	177	5	the	the	DET
ap-5173	177	6	mars	mars	NOUN
ap-5173	177	7	model	model	NOUN
ap-5173	177	8	,	,	PUNCT
ap-5173	177	9	the	the	DET
ap-5173	177	10	training	training	NOUN
ap-5173	177	11	data	datum	NOUN
ap-5173	177	12	vectors	vector	NOUN
ap-5173	177	13	,	,	PUNCT
ap-5173	177	14	i.e.	i.e.	X
ap-5173	177	15	,	,	PUNCT
ap-5173	177	16	the	the	DET
ap-5173	177	17	inputs	input	NOUN
ap-5173	177	18	(	(	PUNCT
ap-5173	177	19	observations	observation	NOUN
ap-5173	177	20	)	)	PUNCT
ap-5173	177	21	and	and	CCONJ
ap-5173	177	22	outputs	output	NOUN
ap-5173	177	23	(	(	PUNCT
ap-5173	177	24	targets	target	NOUN
ap-5173	177	25	)	)	PUNCT
ap-5173	177	26	are	be	AUX
ap-5173	177	27	needed	need	VERB
ap-5173	177	28	.	.	PUNCT
ap-5173	178	1	training	training	NOUN
ap-5173	178	2	data	datum	NOUN
ap-5173	178	3	are	be	AUX
ap-5173	178	4	split	split	VERB
ap-5173	178	5	into	into	ADP
ap-5173	178	6	several	several	ADJ
ap-5173	178	7	splines	spline	NOUN
ap-5173	178	8	on	on	ADP
ap-5173	178	9	an	an	DET
ap-5173	178	10	equivalent	equivalent	ADJ
ap-5173	178	11	interval	interval	NOUN
ap-5173	178	12	basis	basis	NOUN
ap-5173	178	13	[	[	X
ap-5173	178	14	29	29	NUM
ap-5173	178	15	]	]	PUNCT
ap-5173	178	16	.	.	PUNCT
ap-5173	179	1	326	326	NUM
ap-5173	179	2	vol	vol	NOUN
ap-5173	179	3	.	.	PUNCT
ap-5173	180	1	59	59	NUM
ap-5173	180	2	no	no	NOUN
ap-5173	180	3	.	.	PUNCT
ap-5173	181	1	4/2019	4/2019	NUM
ap-5173	181	2	a	a	DET
ap-5173	181	3	comparative	comparative	ADJ
ap-5173	181	4	study	study	NOUN
ap-5173	181	5	of	of	ADP
ap-5173	181	6	data	data	NOUN
ap-5173	181	7	-	-	PUNCT
ap-5173	181	8	driven	drive	VERB
ap-5173	181	9	modeling	modeling	NOUN
ap-5173	181	10	methods	method	NOUN
ap-5173	181	11	.	.	PUNCT
ap-5173	181	12	.	.	PUNCT
ap-5173	181	13	.	.	PUNCT
ap-5173	182	1	the	the	DET
ap-5173	182	2	data	datum	NOUN
ap-5173	182	3	are	be	AUX
ap-5173	182	4	,	,	PUNCT
ap-5173	182	5	in	in	ADP
ap-5173	182	6	each	each	DET
ap-5173	182	7	spline	spline	NOUN
ap-5173	182	8	,	,	PUNCT
ap-5173	182	9	split	split	VERB
ap-5173	182	10	into	into	ADP
ap-5173	182	11	many	many	ADJ
ap-5173	182	12	subgroups	subgroup	NOUN
ap-5173	182	13	,	,	PUNCT
ap-5173	182	14	and	and	CCONJ
ap-5173	182	15	several	several	ADJ
ap-5173	182	16	knots	knot	NOUN
ap-5173	182	17	are	be	AUX
ap-5173	182	18	created	create	VERB
ap-5173	182	19	that	that	PRON
ap-5173	182	20	can	can	AUX
ap-5173	182	21	be	be	AUX
ap-5173	182	22	placed	place	VERB
ap-5173	182	23	between	between	ADP
ap-5173	182	24	different	different	ADJ
ap-5173	182	25	input	input	NOUN
ap-5173	182	26	variables	variable	NOUN
ap-5173	182	27	or	or	CCONJ
ap-5173	182	28	different	different	ADJ
ap-5173	182	29	intervals	interval	NOUN
ap-5173	182	30	in	in	ADP
ap-5173	182	31	the	the	DET
ap-5173	182	32	same	same	ADJ
ap-5173	182	33	input	input	NOUN
ap-5173	182	34	variable	variable	NOUN
ap-5173	182	35	to	to	ADP
ap-5173	182	36	separating	separate	VERB
ap-5173	182	37	subgroups	subgroup	NOUN
ap-5173	182	38	[	[	X
ap-5173	182	39	31	31	NUM
ap-5173	182	40	]	]	PUNCT
ap-5173	182	41	.	.	PUNCT
ap-5173	183	1	in	in	ADP
ap-5173	183	2	mars	mar	NOUN
ap-5173	183	3	,	,	PUNCT
ap-5173	183	4	the	the	DET
ap-5173	183	5	regression	regression	NOUN
ap-5173	183	6	function	function	NOUN
ap-5173	183	7	called	call	VERB
ap-5173	183	8	a	a	DET
ap-5173	183	9	basis	basis	NOUN
ap-5173	183	10	function	function	NOUN
ap-5173	183	11	(	(	PUNCT
ap-5173	183	12	bf	bf	NOUN
ap-5173	183	13	)	)	PUNCT
ap-5173	183	14	is	be	AUX
ap-5173	183	15	approximated	approximate	VERB
ap-5173	183	16	by	by	ADP
ap-5173	183	17	smoothing	smooth	VERB
ap-5173	183	18	splines	spline	NOUN
ap-5173	183	19	for	for	ADP
ap-5173	183	20	a	a	DET
ap-5173	183	21	general	general	ADJ
ap-5173	183	22	representation	representation	NOUN
ap-5173	183	23	of	of	ADP
ap-5173	183	24	data	datum	NOUN
ap-5173	183	25	in	in	ADP
ap-5173	183	26	each	each	DET
ap-5173	183	27	subgroup	subgroup	NOUN
ap-5173	183	28	.	.	PUNCT
ap-5173	184	1	between	between	ADP
ap-5173	184	2	any	any	DET
ap-5173	184	3	two	two	NUM
ap-5173	184	4	knots	knot	NOUN
ap-5173	184	5	,	,	PUNCT
ap-5173	184	6	the	the	DET
ap-5173	184	7	model	model	NOUN
ap-5173	184	8	can	can	AUX
ap-5173	184	9	characterize	characterize	VERB
ap-5173	184	10	the	the	DET
ap-5173	184	11	data	datum	NOUN
ap-5173	184	12	either	either	CCONJ
ap-5173	184	13	globally	globally	ADV
ap-5173	184	14	or	or	CCONJ
ap-5173	184	15	by	by	ADP
ap-5173	184	16	using	use	VERB
ap-5173	184	17	the	the	DET
ap-5173	184	18	linear	linear	ADJ
ap-5173	184	19	regression	regression	NOUN
ap-5173	184	20	.	.	PUNCT
ap-5173	185	1	the	the	DET
ap-5173	185	2	bf	bf	NOUN
ap-5173	185	3	is	be	AUX
ap-5173	185	4	unique	unique	ADJ
ap-5173	185	5	between	between	ADP
ap-5173	185	6	any	any	DET
ap-5173	185	7	two	two	NUM
ap-5173	185	8	knots	knot	NOUN
ap-5173	185	9	and	and	CCONJ
ap-5173	185	10	is	be	AUX
ap-5173	185	11	shifted	shift	VERB
ap-5173	185	12	to	to	ADP
ap-5173	185	13	another	another	DET
ap-5173	185	14	bf	bf	NOUN
ap-5173	185	15	at	at	ADP
ap-5173	185	16	each	each	DET
ap-5173	185	17	knot	knot	NOUN
ap-5173	185	18	[	[	X
ap-5173	185	19	29	29	NUM
ap-5173	185	20	,	,	PUNCT
ap-5173	185	21	35	35	NUM
ap-5173	185	22	]	]	PUNCT
ap-5173	185	23	.	.	PUNCT
ap-5173	186	1	the	the	DET
ap-5173	186	2	two	two	NUM
ap-5173	186	3	bfs	bfs	NOUN
ap-5173	186	4	in	in	ADP
ap-5173	186	5	two	two	NUM
ap-5173	186	6	adjacent	adjacent	ADJ
ap-5173	186	7	domains	domain	NOUN
ap-5173	186	8	of	of	ADP
ap-5173	186	9	data	datum	NOUN
ap-5173	186	10	intersect	intersect	ADJ
ap-5173	186	11	at	at	ADP
ap-5173	186	12	the	the	DET
ap-5173	186	13	knot	knot	NOUN
ap-5173	186	14	to	to	PART
ap-5173	186	15	make	make	VERB
ap-5173	186	16	the	the	DET
ap-5173	186	17	model	model	NOUN
ap-5173	186	18	outputs	output	NOUN
ap-5173	186	19	continuous	continuous	ADJ
ap-5173	186	20	.	.	PUNCT
ap-5173	187	1	mars	mar	NOUN
ap-5173	187	2	creates	create	VERB
ap-5173	187	3	a	a	DET
ap-5173	187	4	curved	curved	ADJ
ap-5173	187	5	regression	regression	NOUN
ap-5173	187	6	line	line	NOUN
ap-5173	187	7	to	to	PART
ap-5173	187	8	fit	fit	VERB
ap-5173	187	9	the	the	DET
ap-5173	187	10	data	datum	NOUN
ap-5173	187	11	from	from	ADP
ap-5173	187	12	subgroup	subgroup	PROPN
ap-5173	187	13	to	to	ADP
ap-5173	187	14	subgroup	subgroup	PROPN
ap-5173	187	15	and	and	CCONJ
ap-5173	187	16	from	from	ADP
ap-5173	187	17	one	one	NUM
ap-5173	187	18	spline	spline	NOUN
ap-5173	187	19	to	to	ADP
ap-5173	187	20	another	another	DET
ap-5173	187	21	spline	spline	NOUN
ap-5173	187	22	.	.	PUNCT
ap-5173	188	1	for	for	ADP
ap-5173	188	2	evading	evade	VERB
ap-5173	188	3	over	over	ADP
ap-5173	188	4	-	-	PUNCT
ap-5173	188	5	fitting	fit	VERB
ap-5173	188	6	and	and	CCONJ
ap-5173	188	7	over	over	ADV
ap-5173	188	8	-	-	PUNCT
ap-5173	188	9	regressing	regress	VERB
ap-5173	188	10	,	,	PUNCT
ap-5173	188	11	the	the	DET
ap-5173	188	12	shortest	short	ADJ
ap-5173	188	13	distance	distance	NOUN
ap-5173	188	14	between	between	ADP
ap-5173	188	15	two	two	NUM
ap-5173	188	16	neighboring	neighboring	NOUN
ap-5173	188	17	knots	knot	NOUN
ap-5173	188	18	is	be	AUX
ap-5173	188	19	predetermined	predetermine	VERB
ap-5173	188	20	to	to	PART
ap-5173	188	21	prevent	prevent	VERB
ap-5173	188	22	too	too	ADV
ap-5173	188	23	few	few	ADJ
ap-5173	188	24	data	datum	NOUN
ap-5173	188	25	in	in	ADP
ap-5173	188	26	a	a	DET
ap-5173	188	27	subgroup	subgroup	NOUN
ap-5173	188	28	.	.	PUNCT
ap-5173	189	1	in	in	ADP
ap-5173	189	2	the	the	DET
ap-5173	189	3	mars	mars	NOUN
ap-5173	189	4	method	method	NOUN
ap-5173	189	5	,	,	PUNCT
ap-5173	189	6	the	the	DET
ap-5173	189	7	goal	goal	NOUN
ap-5173	189	8	is	be	AUX
ap-5173	189	9	to	to	PART
ap-5173	189	10	find	find	VERB
ap-5173	189	11	the	the	DET
ap-5173	189	12	dependency	dependency	NOUN
ap-5173	189	13	of	of	ADP
ap-5173	189	14	variables	variable	NOUN
ap-5173	189	15	yi	yi	PROPN
ap-5173	189	16	on	on	ADP
ap-5173	189	17	one	one	NUM
ap-5173	189	18	or	or	CCONJ
ap-5173	189	19	more	more	ADV
ap-5173	189	20	independent	independent	ADJ
ap-5173	189	21	variables	variable	NOUN
ap-5173	189	22	xi	xi	PROPN
ap-5173	189	23	.	.	PUNCT
ap-5173	190	1	the	the	DET
ap-5173	190	2	following	follow	VERB
ap-5173	190	3	regression	regression	NOUN
ap-5173	190	4	sample	sample	NOUN
ap-5173	190	5	is	be	AUX
ap-5173	190	6	considered	consider	VERB
ap-5173	190	7	:	:	PUNCT
ap-5173	190	8	d	d	X
ap-5173	190	9	=	=	PRON
ap-5173	190	10	{	{	PUNCT
ap-5173	190	11	xi	xi	PROPN
ap-5173	190	12	,	,	PUNCT
ap-5173	190	13	yi}ni=1	yi}ni=1	NOUN
ap-5173	190	14	=	=	SYM
ap-5173	190	15	{	{	PUNCT
ap-5173	190	16	x1i	x1i	PROPN
ap-5173	190	17	,	,	PUNCT
ap-5173	190	18	...	...	PUNCT
ap-5173	190	19	,	,	PUNCT
ap-5173	190	20	xni	xni	PROPN
ap-5173	190	21	,	,	PUNCT
ap-5173	190	22	yi}ni=1	yi}ni=1	PROPN
ap-5173	190	23	(	(	PUNCT
ap-5173	190	24	8)	8)	NUM
ap-5173	190	25	where	where	SCONJ
ap-5173	190	26	xi	xi	PROPN
ap-5173	190	27	∈	∈	PROPN
ap-5173	190	28	rp	rp	NOUN
ap-5173	190	29	is	be	AUX
ap-5173	190	30	the	the	DET
ap-5173	190	31	i	i	PROPN
ap-5173	190	32	-	-	PUNCT
ap-5173	190	33	th	th	X
ap-5173	190	34	vector	vector	NOUN
ap-5173	190	35	of	of	ADP
ap-5173	190	36	the	the	DET
ap-5173	190	37	independent	independent	ADJ
ap-5173	190	38	variable	variable	NOUN
ap-5173	190	39	,	,	PUNCT
ap-5173	190	40	yi	yi	PROPN
ap-5173	190	41	,	,	PUNCT
ap-5173	190	42	(	(	PUNCT
ap-5173	190	43	i	i	NOUN
ap-5173	190	44	=	=	NOUN
ap-5173	190	45	1	1	NUM
ap-5173	190	46	,	,	PUNCT
ap-5173	190	47	...	...	PUNCT
ap-5173	190	48	,	,	PUNCT
ap-5173	190	49	n	n	CCONJ
ap-5173	190	50	)	)	PUNCT
ap-5173	190	51	is	be	AUX
ap-5173	190	52	the	the	DET
ap-5173	190	53	dependent	dependent	ADJ
ap-5173	190	54	variable	variable	NOUN
ap-5173	190	55	,	,	PUNCT
ap-5173	190	56	n	n	X
ap-5173	190	57	is	be	AUX
ap-5173	190	58	the	the	DET
ap-5173	190	59	number	number	NOUN
ap-5173	190	60	of	of	ADP
ap-5173	190	61	independent	independent	ADJ
ap-5173	190	62	variables	variable	NOUN
ap-5173	190	63	,	,	PUNCT
ap-5173	190	64	n	n	PRON
ap-5173	190	65	is	be	AUX
ap-5173	190	66	the	the	DET
ap-5173	190	67	number	number	NOUN
ap-5173	190	68	of	of	ADP
ap-5173	190	69	data	datum	NOUN
ap-5173	190	70	in	in	ADP
ap-5173	190	71	xi	xi	PROPN
ap-5173	190	72	.	.	PUNCT
ap-5173	191	1	the	the	DET
ap-5173	191	2	relationship	relationship	NOUN
ap-5173	191	3	between	between	ADP
ap-5173	191	4	yi	yi	PROPN
ap-5173	191	5	and	and	CCONJ
ap-5173	191	6	xi	xi	PROPN
ap-5173	191	7	(	(	PUNCT
ap-5173	191	8	i	i	NOUN
ap-5173	191	9	=	=	NOUN
ap-5173	191	10	1	1	NUM
ap-5173	191	11	,	,	PUNCT
ap-5173	191	12	...	...	PUNCT
ap-5173	191	13	,	,	PUNCT
ap-5173	191	14	n	n	CCONJ
ap-5173	191	15	)	)	PUNCT
ap-5173	191	16	can	can	AUX
ap-5173	191	17	be	be	AUX
ap-5173	191	18	represented	represent	VERB
ap-5173	191	19	as	as	ADP
ap-5173	191	20	:	:	PUNCT
ap-5173	191	21	yi	yi	NOUN
ap-5173	191	22	=	=	PUNCT
ap-5173	191	23	f(x1	f(x1	PROPN
ap-5173	191	24	i	i	PRON
ap-5173	191	25	,	,	PUNCT
ap-5173	191	26	x	x	PROPN
ap-5173	191	27	2	2	X
ap-5173	191	28	i	i	NOUN
ap-5173	191	29	,	,	PUNCT
ap-5173	191	30	...	...	PUNCT
ap-5173	191	31	,	,	PUNCT
ap-5173	191	32	x	x	X
ap-5173	192	1	p	p	X
ap-5173	192	2	i	i	PROPN
ap-5173	192	3	)	)	PUNCT
ap-5173	193	1	+	+	CCONJ
ap-5173	193	2	ε	ε	PROPN
ap-5173	193	3	=	=	SYM
ap-5173	193	4	f(xi	f(xi	PROPN
ap-5173	193	5	)	)	PUNCT
ap-5173	194	1	+	+	CCONJ
ap-5173	194	2	ε	ε	PROPN
ap-5173	194	3	,	,	PUNCT
ap-5173	194	4	(	(	PUNCT
ap-5173	194	5	9	9	NUM
ap-5173	194	6	)	)	PUNCT
ap-5173	194	7	where	where	SCONJ
ap-5173	194	8	f	f	PROPN
ap-5173	194	9	is	be	AUX
ap-5173	194	10	an	an	DET
ap-5173	194	11	unknown	unknown	ADJ
ap-5173	194	12	function	function	NOUN
ap-5173	194	13	,	,	PUNCT
ap-5173	194	14	and	and	CCONJ
ap-5173	194	15	ε	ε	PROPN
ap-5173	194	16	is	be	AUX
ap-5173	194	17	an	an	DET
ap-5173	194	18	error	error	NOUN
ap-5173	194	19	(	(	PUNCT
ap-5173	194	20	ε	ε	PROPN
ap-5173	194	21	∼	∼	NOUN
ap-5173	194	22	n(0	n(0	PROPN
ap-5173	194	23	,	,	PUNCT
ap-5173	194	24	σ2	σ2	NOUN
ap-5173	194	25	)	)	PUNCT
ap-5173	194	26	)	)	PUNCT
ap-5173	194	27	.	.	PUNCT
ap-5173	195	1	the	the	DET
ap-5173	195	2	single	single	ADJ
ap-5173	195	3	valued	value	VERB
ap-5173	195	4	deterministic	deterministic	ADJ
ap-5173	195	5	function	function	NOUN
ap-5173	195	6	f	f	PROPN
ap-5173	195	7	,	,	PUNCT
ap-5173	195	8	captures	capture	VERB
ap-5173	195	9	the	the	DET
ap-5173	195	10	joint	joint	ADJ
ap-5173	195	11	predictive	predictive	ADJ
ap-5173	195	12	relationship	relationship	NOUN
ap-5173	195	13	of	of	ADP
ap-5173	195	14	yi	yi	PROPN
ap-5173	195	15	on	on	ADP
ap-5173	195	16	(	(	PUNCT
ap-5173	195	17	x1	x1	INTJ
ap-5173	195	18	i	i	INTJ
ap-5173	195	19	,	,	PUNCT
ap-5173	195	20	x	x	PROPN
ap-5173	195	21	2	2	X
ap-5173	195	22	i	i	NOUN
ap-5173	195	23	,	,	PUNCT
ap-5173	195	24	...	...	PUNCT
ap-5173	195	25	,	,	PUNCT
ap-5173	195	26	x	x	X
ap-5173	196	1	p	p	X
ap-5173	196	2	i	i	PROPN
ap-5173	196	3	)	)	PUNCT
ap-5173	196	4	.	.	PUNCT
ap-5173	197	1	the	the	DET
ap-5173	197	2	additive	additive	ADJ
ap-5173	197	3	stochastic	stochastic	NOUN
ap-5173	197	4	component	component	NOUN
ap-5173	197	5	ε	ε	PROPN
ap-5173	197	6	,	,	PUNCT
ap-5173	197	7	whose	whose	DET
ap-5173	197	8	expected	expect	VERB
ap-5173	197	9	value	value	NOUN
ap-5173	197	10	is	be	AUX
ap-5173	197	11	determined	determine	VERB
ap-5173	197	12	to	to	PART
ap-5173	197	13	be	be	AUX
ap-5173	197	14	zero	zero	NUM
ap-5173	197	15	,	,	PUNCT
ap-5173	197	16	usually	usually	ADV
ap-5173	197	17	reflects	reflect	VERB
ap-5173	197	18	the	the	DET
ap-5173	197	19	dependence	dependence	NOUN
ap-5173	197	20	of	of	ADP
ap-5173	197	21	yi	yi	NOUN
ap-5173	197	22	on	on	ADP
ap-5173	197	23	values	value	NOUN
ap-5173	197	24	other	other	ADJ
ap-5173	197	25	than	than	ADP
ap-5173	197	26	(	(	PUNCT
ap-5173	197	27	x1	x1	INTJ
ap-5173	197	28	i	i	INTJ
ap-5173	197	29	,	,	PUNCT
ap-5173	198	1	x	x	PROPN
ap-5173	198	2	2	2	X
ap-5173	198	3	i	i	NOUN
ap-5173	198	4	,	,	PUNCT
ap-5173	198	5	...	...	PUNCT
ap-5173	198	6	,	,	PUNCT
ap-5173	198	7	x	x	X
ap-5173	199	1	p	p	X
ap-5173	199	2	i	i	PROPN
ap-5173	199	3	)	)	PUNCT
ap-5173	199	4	,	,	PUNCT
ap-5173	199	5	that	that	PRON
ap-5173	199	6	are	be	AUX
ap-5173	199	7	neither	neither	CCONJ
ap-5173	199	8	controlled	control	VERB
ap-5173	199	9	nor	nor	CCONJ
ap-5173	199	10	observed	observe	VERB
ap-5173	199	11	.	.	PUNCT
ap-5173	200	1	in	in	ADP
ap-5173	200	2	the	the	DET
ap-5173	200	3	one	one	NUM
ap-5173	200	4	-	-	PUNCT
ap-5173	200	5	dimensional	dimensional	ADJ
ap-5173	200	6	case	case	NOUN
ap-5173	200	7	,	,	PUNCT
ap-5173	200	8	splines	spline	NOUN
ap-5173	200	9	are	be	AUX
ap-5173	200	10	expressed	express	VERB
ap-5173	200	11	in	in	ADP
ap-5173	200	12	terms	term	NOUN
ap-5173	200	13	of	of	ADP
ap-5173	200	14	piecewise	piecewise	NOUN
ap-5173	200	15	linear	linear	PROPN
ap-5173	200	16	basis	basis	NOUN
ap-5173	200	17	functions	function	NOUN
ap-5173	200	18	,	,	PUNCT
ap-5173	200	19	(	(	PUNCT
ap-5173	200	20	x−	x−	PROPN
ap-5173	200	21	t)+	t)+	NOUN
ap-5173	200	22	and	and	CCONJ
ap-5173	200	23	(	(	PUNCT
ap-5173	200	24	t	t	PROPN
ap-5173	200	25	−	−	PROPN
ap-5173	200	26	x)+	x)+	NUM
ap-5173	200	27	with	with	ADP
ap-5173	200	28	the	the	DET
ap-5173	200	29	node	node	NOUN
ap-5173	200	30	in	in	ADP
ap-5173	200	31	t.	t.	PROPN
ap-5173	200	32	the	the	DET
ap-5173	200	33	“	"	PUNCT
ap-5173	200	34	+	+	PROPN
ap-5173	200	35	”	"	PUNCT
ap-5173	200	36	means	means	AUX
ap-5173	200	37	a	a	DET
ap-5173	200	38	positive	positive	ADJ
ap-5173	200	39	part	part	NOUN
ap-5173	200	40	.	.	PUNCT
ap-5173	201	1	these	these	DET
ap-5173	201	2	functions	function	NOUN
ap-5173	201	3	are	be	AUX
ap-5173	201	4	truncated	truncate	VERB
ap-5173	201	5	linear	linear	NOUN
ap-5173	201	6	functions	function	NOUN
ap-5173	201	7	,	,	PUNCT
ap-5173	201	8	for	for	ADP
ap-5173	201	9	x	x	PROPN
ap-5173	201	10	∈	∈	PROPN
ap-5173	201	11	r.	r.	PROPN
ap-5173	201	12	(	(	PUNCT
ap-5173	201	13	x−	x−	PROPN
ap-5173	201	14	t)+	t)+	NOUN
ap-5173	201	15	=	=	PRON
ap-5173	201	16	{	{	PUNCT
ap-5173	201	17	x−	x−	PROPN
ap-5173	201	18	t	t	PROPN
ap-5173	201	19	,	,	PUNCT
ap-5173	201	20	if	if	SCONJ
ap-5173	201	21	x	x	PROPN
ap-5173	201	22	>	>	X
ap-5173	201	23	t	t	PROPN
ap-5173	201	24	,	,	PUNCT
ap-5173	201	25	0	0	NUM
ap-5173	201	26	,	,	PUNCT
ap-5173	201	27	otherwise	otherwise	ADV
ap-5173	201	28	and	and	CCONJ
ap-5173	201	29	(	(	PUNCT
ap-5173	201	30	t−	t−	PROPN
ap-5173	201	31	x)+	x)+	NUM
ap-5173	201	32	=	=	PRON
ap-5173	201	33	{	{	PUNCT
ap-5173	201	34	t−	t−	PROPN
ap-5173	201	35	x	x	SYM
ap-5173	201	36	,	,	PUNCT
ap-5173	201	37	if	if	SCONJ
ap-5173	201	38	x	x	X
ap-5173	201	39	<	<	X
ap-5173	201	40	t	t	PROPN
ap-5173	201	41	,	,	PUNCT
ap-5173	201	42	0	0	NUM
ap-5173	201	43	,	,	PUNCT
ap-5173	201	44	otherwise	otherwise	ADV
ap-5173	201	45	(	(	PUNCT
ap-5173	201	46	10	10	NUM
ap-5173	201	47	)	)	PUNCT
ap-5173	201	48	each	each	DET
ap-5173	201	49	function	function	NOUN
ap-5173	201	50	(	(	PUNCT
ap-5173	201	51	i.e.	i.e.	X
ap-5173	201	52	,	,	PUNCT
ap-5173	201	53	(	(	PUNCT
ap-5173	201	54	x−t)+	x−t)+	NOUN
ap-5173	201	55	and	and	CCONJ
ap-5173	201	56	(	(	PUNCT
ap-5173	201	57	t−x)+	t−x)+	NOUN
ap-5173	201	58	)	)	PUNCT
ap-5173	201	59	is	be	AUX
ap-5173	201	60	piecewise	piecewise	NOUN
ap-5173	201	61	linear	linear	NOUN
ap-5173	201	62	,	,	PUNCT
ap-5173	201	63	with	with	ADP
ap-5173	201	64	a	a	DET
ap-5173	201	65	knot	knot	NOUN
ap-5173	201	66	at	at	ADP
ap-5173	201	67	the	the	DET
ap-5173	201	68	value	value	NOUN
ap-5173	201	69	t.	t.	NOUN
ap-5173	201	70	they	they	PRON
ap-5173	201	71	are	be	AUX
ap-5173	201	72	marked	mark	VERB
ap-5173	201	73	as	as	ADP
ap-5173	201	74	linear	linear	ADJ
ap-5173	201	75	splines	spline	NOUN
ap-5173	201	76	.	.	PUNCT
ap-5173	202	1	these	these	DET
ap-5173	202	2	two	two	NUM
ap-5173	202	3	functions	function	NOUN
ap-5173	202	4	are	be	AUX
ap-5173	202	5	named	name	VERB
ap-5173	202	6	as	as	ADP
ap-5173	202	7	a	a	DET
ap-5173	202	8	reflected	reflected	ADJ
ap-5173	202	9	pair	pair	NOUN
ap-5173	202	10	.	.	PUNCT
ap-5173	203	1	in	in	ADP
ap-5173	203	2	the	the	DET
ap-5173	203	3	multidimensional	multidimensional	ADJ
ap-5173	203	4	case	case	NOUN
ap-5173	203	5	the	the	DET
ap-5173	203	6	idea	idea	NOUN
ap-5173	203	7	is	be	AUX
ap-5173	203	8	to	to	PART
ap-5173	203	9	form	form	VERB
ap-5173	203	10	reflected	reflect	VERB
ap-5173	203	11	pairs	pair	NOUN
ap-5173	203	12	for	for	ADP
ap-5173	203	13	each	each	DET
ap-5173	203	14	input	input	NOUN
ap-5173	203	15	component	component	NOUN
ap-5173	203	16	xj	xj	PROPN
ap-5173	203	17	of	of	ADP
ap-5173	203	18	the	the	DET
ap-5173	203	19	vector	vector	NOUN
ap-5173	203	20	x	x	PUNCT
ap-5173	203	21	=	=	SYM
ap-5173	203	22	(	(	PUNCT
ap-5173	203	23	x1	x1	PROPN
ap-5173	203	24	,	,	PUNCT
ap-5173	203	25	...	...	PUNCT
ap-5173	203	26	,	,	PUNCT
ap-5173	203	27	xj	xj	PROPN
ap-5173	203	28	,	,	PUNCT
ap-5173	203	29	...	...	PUNCT
ap-5173	203	30	,	,	PUNCT
ap-5173	203	31	xp)t	xp)t	PROPN
ap-5173	203	32	with	with	ADP
ap-5173	203	33	knots	knot	NOUN
ap-5173	203	34	at	at	ADP
ap-5173	203	35	each	each	DET
ap-5173	203	36	observed	observe	VERB
ap-5173	203	37	value	value	NOUN
ap-5173	203	38	xji	xji	PROPN
ap-5173	203	39	of	of	ADP
ap-5173	203	40	that	that	DET
ap-5173	203	41	input	input	NOUN
ap-5173	203	42	(	(	PUNCT
ap-5173	203	43	i	i	NOUN
ap-5173	203	44	=	=	NOUN
ap-5173	203	45	1	1	NUM
ap-5173	203	46	,	,	PUNCT
ap-5173	203	47	2	2	NUM
ap-5173	203	48	,	,	PUNCT
ap-5173	203	49	...	...	PUNCT
ap-5173	203	50	,	,	PUNCT
ap-5173	203	51	n	n	PROPN
ap-5173	203	52	;	;	PUNCT
ap-5173	203	53	j	j	PROPN
ap-5173	203	54	=	=	SYM
ap-5173	203	55	1	1	NUM
ap-5173	203	56	,	,	PUNCT
ap-5173	203	57	2	2	NUM
ap-5173	203	58	,	,	PUNCT
ap-5173	203	59	...	...	PUNCT
ap-5173	203	60	,	,	PUNCT
ap-5173	203	61	p	p	X
ap-5173	203	62	)	)	PUNCT
ap-5173	203	63	.	.	PUNCT
ap-5173	204	1	thus	thus	ADV
ap-5173	204	2	,	,	PUNCT
ap-5173	204	3	a	a	DET
ap-5173	204	4	set	set	NOUN
ap-5173	204	5	of	of	ADP
ap-5173	204	6	constructed	construct	VERB
ap-5173	204	7	basis	basis	NOUN
ap-5173	204	8	functions	function	NOUN
ap-5173	204	9	can	can	AUX
ap-5173	204	10	be	be	AUX
ap-5173	204	11	represented	represent	VERB
ap-5173	204	12	in	in	ADP
ap-5173	204	13	the	the	DET
ap-5173	204	14	form	form	NOUN
ap-5173	204	15	:	:	PUNCT
ap-5173	204	16	c	c	X
ap-5173	204	17	=	=	PRON
ap-5173	204	18	{	{	PUNCT
ap-5173	204	19	(	(	PUNCT
ap-5173	204	20	xj	xj	PROPN
ap-5173	204	21	−	−	PROPN
ap-5173	204	22	t)+	t)+	NOUN
ap-5173	204	23	,	,	PUNCT
ap-5173	204	24	(	(	PUNCT
ap-5173	204	25	t−	t−	PROPN
ap-5173	204	26	xj)+|t	xj)+|t	PROPN
ap-5173	204	27	∈	∈	PROPN
ap-5173	204	28	{	{	PUNCT
ap-5173	204	29	xj1	xj1	PROPN
ap-5173	204	30	,	,	PUNCT
ap-5173	204	31	x	x	PROPN
ap-5173	204	32	j	j	PROPN
ap-5173	204	33	2	2	NUM
ap-5173	204	34	,	,	PUNCT
ap-5173	204	35	...	...	PUNCT
ap-5173	204	36	,	,	PUNCT
ap-5173	204	37	x	x	PROPN
ap-5173	204	38	j	j	PROPN
ap-5173	204	39	n	n	CCONJ
ap-5173	204	40	}	}	PUNCT
ap-5173	204	41	,	,	PUNCT
ap-5173	204	42	j	j	PROPN
ap-5173	204	43	∈	∈	PROPN
ap-5173	204	44	{	{	PUNCT
ap-5173	204	45	1	1	NUM
ap-5173	204	46	,	,	PUNCT
ap-5173	204	47	2	2	NUM
ap-5173	204	48	,	,	PUNCT
ap-5173	204	49	...	...	PUNCT
ap-5173	204	50	,	,	PUNCT
ap-5173	204	51	p	p	X
ap-5173	204	52	}	}	PUNCT
ap-5173	204	53	}	}	PUNCT
ap-5173	204	54	(	(	PUNCT
ap-5173	204	55	11	11	NUM
ap-5173	204	56	)	)	PUNCT
ap-5173	204	57	if	if	SCONJ
ap-5173	204	58	all	all	DET
ap-5173	204	59	input	input	NOUN
ap-5173	204	60	data	datum	NOUN
ap-5173	204	61	are	be	AUX
ap-5173	204	62	different	different	ADJ
ap-5173	204	63	,	,	PUNCT
ap-5173	204	64	then	then	ADV
ap-5173	204	65	,	,	PUNCT
ap-5173	204	66	in	in	ADP
ap-5173	204	67	the	the	DET
ap-5173	204	68	set	set	NOUN
ap-5173	204	69	of	of	ADP
ap-5173	204	70	2np	2np	ADJ
ap-5173	204	71	basis	basis	NOUN
ap-5173	204	72	functions	function	NOUN
ap-5173	204	73	,	,	PUNCT
ap-5173	204	74	each	each	PRON
ap-5173	204	75	of	of	ADP
ap-5173	204	76	them	they	PRON
ap-5173	204	77	depends	depend	VERB
ap-5173	204	78	on	on	ADP
ap-5173	204	79	only	only	ADV
ap-5173	204	80	one	one	NUM
ap-5173	204	81	variable	variable	NOUN
ap-5173	204	82	xj	xj	PROPN
ap-5173	204	83	.	.	PUNCT
ap-5173	205	1	for	for	ADP
ap-5173	205	2	example	example	NOUN
ap-5173	205	3	,	,	PUNCT
ap-5173	205	4	b(x	b(x	NOUN
ap-5173	205	5	)	)	PUNCT
ap-5173	205	6	=	=	SYM
ap-5173	206	1	(	(	PUNCT
ap-5173	206	2	xj	xj	PROPN
ap-5173	206	3	−	−	PROPN
ap-5173	206	4	t)+	t)+	NOUN
ap-5173	206	5	is	be	AUX
ap-5173	206	6	regarded	regard	VERB
ap-5173	206	7	as	as	ADP
ap-5173	206	8	a	a	DET
ap-5173	206	9	function	function	NOUN
ap-5173	206	10	over	over	ADP
ap-5173	206	11	the	the	DET
ap-5173	206	12	entire	entire	ADJ
ap-5173	206	13	input	input	NOUN
ap-5173	206	14	space	space	NOUN
ap-5173	206	15	rp	rp	NOUN
ap-5173	206	16	.	.	PUNCT
ap-5173	207	1	the	the	DET
ap-5173	207	2	basic	basic	ADJ
ap-5173	207	3	functions	function	NOUN
ap-5173	207	4	used	use	VERB
ap-5173	207	5	for	for	ADP
ap-5173	207	6	approximation	approximation	NOUN
ap-5173	207	7	are	be	AUX
ap-5173	207	8	as	as	SCONJ
ap-5173	207	9	follows	follow	VERB
ap-5173	207	10	:	:	PUNCT
ap-5173	207	11	bm(x	bm(x	X
ap-5173	207	12	)	)	PUNCT
ap-5173	208	1	=	=	PUNCT
ap-5173	208	2	km∏	km∏	PROPN
ap-5173	208	3	k=1	k=1	X
ap-5173	209	1	[	[	PUNCT
ap-5173	209	2	sk	sk	INTJ
ap-5173	209	3	,	,	PUNCT
ap-5173	209	4	m	m	PROPN
ap-5173	209	5	·	·	PUNCT
ap-5173	209	6	(	(	PUNCT
ap-5173	209	7	xv(k	xv(k	X
ap-5173	209	8	,	,	PUNCT
ap-5173	209	9	m	m	NOUN
ap-5173	209	10	)	)	PUNCT
ap-5173	209	11	−	−	PROPN
ap-5173	209	12	tkm	tkm	PROPN
ap-5173	209	13	)	)	PUNCT
ap-5173	209	14	]	]	PUNCT
ap-5173	210	1	+	+	CCONJ
ap-5173	210	2	(	(	PUNCT
ap-5173	210	3	12	12	NUM
ap-5173	210	4	)	)	PUNCT
ap-5173	210	5	where	where	SCONJ
ap-5173	210	6	km	km	NOUN
ap-5173	210	7	is	be	AUX
ap-5173	210	8	the	the	DET
ap-5173	210	9	total	total	ADJ
ap-5173	210	10	number	number	NOUN
ap-5173	210	11	of	of	ADP
ap-5173	210	12	truncated	truncated	ADJ
ap-5173	210	13	linear	linear	NOUN
ap-5173	210	14	functions	function	NOUN
ap-5173	210	15	in	in	ADP
ap-5173	210	16	the	the	DET
ap-5173	210	17	m	m	PROPN
ap-5173	210	18	-	-	PUNCT
ap-5173	210	19	th	th	VERB
ap-5173	210	20	basis	basis	NOUN
ap-5173	210	21	function	function	NOUN
ap-5173	210	22	(	(	PUNCT
ap-5173	210	23	i.e.	i.e.	X
ap-5173	210	24	,	,	PUNCT
ap-5173	210	25	it	it	PRON
ap-5173	210	26	is	be	AUX
ap-5173	210	27	the	the	DET
ap-5173	210	28	number	number	NOUN
ap-5173	210	29	of	of	ADP
ap-5173	210	30	“	"	PUNCT
ap-5173	210	31	splits	split	NOUN
ap-5173	210	32	”	"	PUNCT
ap-5173	210	33	that	that	PRON
ap-5173	210	34	gave	give	VERB
ap-5173	210	35	rise	rise	NOUN
ap-5173	210	36	to	to	ADP
ap-5173	210	37	bm	bm	PROPN
ap-5173	210	38	)	)	PUNCT
ap-5173	210	39	,	,	PUNCT
ap-5173	210	40	xv(k	xv(k	X
ap-5173	210	41	,	,	PUNCT
ap-5173	210	42	m	m	VERB
ap-5173	210	43	)	)	PUNCT
ap-5173	210	44	is	be	AUX
ap-5173	210	45	the	the	DET
ap-5173	210	46	component	component	NOUN
ap-5173	210	47	of	of	ADP
ap-5173	210	48	the	the	DET
ap-5173	210	49	vector	vector	NOUN
ap-5173	210	50	x	x	NOUN
ap-5173	210	51	,	,	PUNCT
ap-5173	210	52	related	relate	VERB
ap-5173	210	53	to	to	ADP
ap-5173	210	54	the	the	DET
ap-5173	210	55	k	k	NOUN
ap-5173	210	56	-	-	PUNCT
ap-5173	210	57	th	th	VERB
ap-5173	210	58	truncated	truncate	VERB
ap-5173	210	59	linear	linear	PROPN
ap-5173	210	60	function	function	NOUN
ap-5173	210	61	in	in	ADP
ap-5173	210	62	the	the	DET
ap-5173	210	63	m	m	PROPN
ap-5173	210	64	-	-	PUNCT
ap-5173	210	65	th	th	X
ap-5173	210	66	basic	basic	ADJ
ap-5173	210	67	function	function	NOUN
ap-5173	210	68	,	,	PUNCT
ap-5173	210	69	tkm	tkm	PROPN
ap-5173	210	70	is	be	AUX
ap-5173	210	71	the	the	DET
ap-5173	210	72	corresponding	corresponding	ADJ
ap-5173	210	73	node	node	NOUN
ap-5173	210	74	,	,	PUNCT
ap-5173	210	75	and	and	CCONJ
ap-5173	210	76	skm	skm	PROPN
ap-5173	210	77	∈	∈	PROPN
ap-5173	210	78	{	{	PUNCT
ap-5173	210	79	±1	±1	NOUN
ap-5173	210	80	}	}	PUNCT
ap-5173	210	81	.	.	PUNCT
ap-5173	211	1	km	km	PROPN
ap-5173	211	2	is	be	AUX
ap-5173	211	3	the	the	DET
ap-5173	211	4	user	user	NOUN
ap-5173	211	5	defined	define	VERB
ap-5173	211	6	degree	degree	NOUN
ap-5173	211	7	order	order	NOUN
ap-5173	211	8	of	of	ADP
ap-5173	211	9	the	the	DET
ap-5173	211	10	interaction	interaction	NOUN
ap-5173	211	11	term	term	NOUN
ap-5173	211	12	and	and	CCONJ
ap-5173	211	13	sk	sk	INTJ
ap-5173	211	14	,	,	PUNCT
ap-5173	211	15	m	m	VERB
ap-5173	211	16	represents	represent	VERB
ap-5173	211	17	the	the	DET
ap-5173	211	18	direction	direction	NOUN
ap-5173	211	19	of	of	ADP
ap-5173	211	20	the	the	DET
ap-5173	211	21	univariate	univariate	ADJ
ap-5173	211	22	term	term	NOUN
ap-5173	211	23	,	,	PUNCT
ap-5173	211	24	which	which	PRON
ap-5173	211	25	could	could	AUX
ap-5173	211	26	be	be	AUX
ap-5173	211	27	positive	positive	ADJ
ap-5173	211	28	or	or	CCONJ
ap-5173	211	29	negative	negative	ADJ
ap-5173	211	30	.	.	PUNCT
ap-5173	212	1	the	the	DET
ap-5173	212	2	model	model	NOUN
ap-5173	212	3	-	-	PUNCT
ap-5173	212	4	building	building	NOUN
ap-5173	212	5	strategy	strategy	NOUN
ap-5173	212	6	is	be	AUX
ap-5173	212	7	like	like	ADP
ap-5173	212	8	a	a	DET
ap-5173	212	9	forward	forward	ADV
ap-5173	212	10	stepwise	stepwise	PROPN
ap-5173	212	11	linear	linear	PROPN
ap-5173	212	12	regression	regression	NOUN
ap-5173	212	13	,	,	PUNCT
ap-5173	212	14	but	but	CCONJ
ap-5173	212	15	instead	instead	ADV
ap-5173	212	16	of	of	ADP
ap-5173	212	17	using	use	VERB
ap-5173	212	18	the	the	DET
ap-5173	212	19	original	original	ADJ
ap-5173	212	20	inputs	input	NOUN
ap-5173	212	21	,	,	PUNCT
ap-5173	212	22	it	it	PRON
ap-5173	212	23	is	be	AUX
ap-5173	212	24	allowed	allow	VERB
ap-5173	212	25	to	to	PART
ap-5173	212	26	use	use	VERB
ap-5173	212	27	functions	function	NOUN
ap-5173	212	28	from	from	ADP
ap-5173	212	29	the	the	DET
ap-5173	212	30	set	set	NOUN
ap-5173	212	31	c	c	PROPN
ap-5173	212	32	of	of	ADP
ap-5173	212	33	their	their	PRON
ap-5173	212	34	products	product	NOUN
ap-5173	212	35	.	.	PUNCT
ap-5173	213	1	therefore	therefore	ADV
ap-5173	213	2	,	,	PUNCT
ap-5173	213	3	the	the	DET
ap-5173	213	4	mars	mars	NOUN
ap-5173	213	5	model	model	NOUN
ap-5173	213	6	can	can	AUX
ap-5173	213	7	be	be	AUX
ap-5173	213	8	expressed	express	VERB
ap-5173	213	9	by	by	ADP
ap-5173	213	10	the	the	DET
ap-5173	213	11	following	follow	VERB
ap-5173	213	12	equation	equation	NOUN
ap-5173	213	13	[	[	X
ap-5173	213	14	26	26	NUM
ap-5173	213	15	]	]	X
ap-5173	213	16	:	:	PUNCT
ap-5173	213	17	y	y	PROPN
ap-5173	213	18	=	=	SYM
ap-5173	213	19	f̂(x	f̂(x	NOUN
ap-5173	213	20	)	)	PUNCT
ap-5173	213	21	+	+	CCONJ
ap-5173	213	22	ε	ε	PROPN
ap-5173	213	23	=	=	SYM
ap-5173	213	24	c0	c0	PROPN
ap-5173	213	25	+	+	CCONJ
ap-5173	213	26	m∑	m∑	PROPN
ap-5173	213	27	m=1	m=1	PROPN
ap-5173	213	28	cmbm(x	cmbm(x	PROPN
ap-5173	213	29	)	)	PUNCT
ap-5173	213	30	+	+	NUM
ap-5173	213	31	ε	ε	PROPN
ap-5173	213	32	(	(	PUNCT
ap-5173	213	33	13	13	NUM
ap-5173	213	34	)	)	PUNCT
ap-5173	213	35	where	where	SCONJ
ap-5173	213	36	y	y	PROPN
ap-5173	213	37	is	be	AUX
ap-5173	213	38	the	the	DET
ap-5173	213	39	output	output	NOUN
ap-5173	213	40	variable	variable	NOUN
ap-5173	213	41	,	,	PUNCT
ap-5173	213	42	x	x	X
ap-5173	213	43	is	be	AUX
ap-5173	213	44	the	the	DET
ap-5173	213	45	vector	vector	NOUN
ap-5173	213	46	of	of	ADP
ap-5173	213	47	input	input	NOUN
ap-5173	213	48	variables	variable	NOUN
ap-5173	213	49	,	,	PUNCT
ap-5173	213	50	m	m	VERB
ap-5173	213	51	is	be	AUX
ap-5173	213	52	the	the	DET
ap-5173	213	53	number	number	NOUN
ap-5173	213	54	of	of	ADP
ap-5173	213	55	basis	basis	NOUN
ap-5173	213	56	functions	function	NOUN
ap-5173	213	57	in	in	ADP
ap-5173	213	58	the	the	DET
ap-5173	213	59	model	model	NOUN
ap-5173	213	60	(	(	PUNCT
ap-5173	213	61	i.e.	i.e.	X
ap-5173	213	62	,	,	PUNCT
ap-5173	213	63	number	number	NOUN
ap-5173	213	64	of	of	ADP
ap-5173	213	65	spline	spline	NOUN
ap-5173	213	66	functions	function	NOUN
ap-5173	213	67	,	,	PUNCT
ap-5173	213	68	c0	c0	PROPN
ap-5173	213	69	is	be	AUX
ap-5173	213	70	the	the	DET
ap-5173	213	71	coefficient	coefficient	NOUN
ap-5173	213	72	of	of	ADP
ap-5173	213	73	the	the	DET
ap-5173	213	74	constant	constant	ADJ
ap-5173	213	75	basis	basis	NOUN
ap-5173	213	76	function	function	NOUN
ap-5173	213	77	b0	b0	NOUN
ap-5173	213	78	,	,	PUNCT
ap-5173	213	79	and	and	CCONJ
ap-5173	213	80	sum	sum	NOUN
ap-5173	213	81	is	be	AUX
ap-5173	213	82	over	over	ADP
ap-5173	213	83	the	the	DET
ap-5173	213	84	basis	basis	NOUN
ap-5173	213	85	functions	function	NOUN
ap-5173	213	86	bm	bm	PROPN
ap-5173	213	87	produced	produce	VERB
ap-5173	213	88	by	by	ADP
ap-5173	213	89	algorithm	algorithm	NOUN
ap-5173	213	90	that	that	PRON
ap-5173	213	91	implements	implement	VERB
ap-5173	213	92	the	the	DET
ap-5173	213	93	stepwise	stepwise	NOUN
ap-5173	213	94	forward	forward	ADP
ap-5173	213	95	part	part	NOUN
ap-5173	213	96	of	of	ADP
ap-5173	213	97	the	the	DET
ap-5173	213	98	mars	mars	NOUN
ap-5173	213	99	strategy	strategy	NOUN
ap-5173	213	100	by	by	ADP
ap-5173	213	101	incorporating	incorporate	VERB
ap-5173	213	102	the	the	DET
ap-5173	213	103	modification	modification	NOUN
ap-5173	213	104	to	to	PART
ap-5173	213	105	recursive	recursive	ADJ
ap-5173	213	106	partitioning	partitioning	NOUN
ap-5173	213	107	.	.	PUNCT
ap-5173	214	1	the	the	DET
ap-5173	214	2	coefficients	coefficient	NOUN
ap-5173	214	3	cm	cm	NOUN
ap-5173	214	4	are	be	AUX
ap-5173	214	5	estimated	estimate	VERB
ap-5173	214	6	by	by	ADP
ap-5173	214	7	minimizing	minimize	VERB
ap-5173	214	8	the	the	DET
ap-5173	214	9	residual	residual	ADJ
ap-5173	214	10	sum	sum	NOUN
ap-5173	214	11	-	-	PUNCT
ap-5173	214	12	of	of	ADP
ap-5173	214	13	-	-	PUNCT
ap-5173	214	14	squares	square	NOUN
ap-5173	214	15	(	(	PUNCT
ap-5173	214	16	i.e.	i.e.	X
ap-5173	214	17	,	,	PUNCT
ap-5173	214	18	by	by	ADP
ap-5173	214	19	standard	standard	ADJ
ap-5173	214	20	linear	linear	ADJ
ap-5173	214	21	regression	regression	NOUN
ap-5173	214	22	)	)	PUNCT
ap-5173	214	23	.	.	PUNCT
ap-5173	215	1	bm(x	bm(x	PUNCT
ap-5173	215	2	)	)	PUNCT
ap-5173	215	3	is	be	AUX
ap-5173	215	4	the	the	DET
ap-5173	215	5	m	m	PROPN
ap-5173	215	6	-	-	PUNCT
ap-5173	215	7	th	th	VERB
ap-5173	215	8	function	function	NOUN
ap-5173	215	9	in	in	ADP
ap-5173	215	10	c	c	PROPN
ap-5173	215	11	,	,	PUNCT
ap-5173	215	12	or	or	CCONJ
ap-5173	215	13	a	a	DET
ap-5173	215	14	product	product	NOUN
ap-5173	215	15	of	of	ADP
ap-5173	215	16	two	two	NUM
ap-5173	215	17	or	or	CCONJ
ap-5173	215	18	more	more	ADJ
ap-5173	215	19	such	such	ADJ
ap-5173	215	20	functions	function	NOUN
ap-5173	215	21	.	.	PUNCT
ap-5173	216	1	the	the	DET
ap-5173	216	2	most	most	ADV
ap-5173	216	3	important	important	ADJ
ap-5173	216	4	thing	thing	NOUN
ap-5173	216	5	in	in	ADP
ap-5173	216	6	this	this	DET
ap-5173	216	7	model	model	NOUN
ap-5173	216	8	is	be	AUX
ap-5173	216	9	the	the	DET
ap-5173	216	10	choice	choice	NOUN
ap-5173	216	11	of	of	ADP
ap-5173	216	12	basis	basis	NOUN
ap-5173	216	13	functions	function	NOUN
ap-5173	216	14	.	.	PUNCT
ap-5173	217	1	in	in	ADP
ap-5173	217	2	the	the	DET
ap-5173	217	3	beginning	beginning	NOUN
ap-5173	217	4	,	,	PUNCT
ap-5173	217	5	the	the	DET
ap-5173	217	6	model	model	NOUN
ap-5173	217	7	contains	contain	VERB
ap-5173	217	8	a	a	DET
ap-5173	217	9	single	single	ADJ
ap-5173	217	10	function	function	NOUN
ap-5173	217	11	b0(x	b0(x	NOUN
ap-5173	217	12	)	)	PUNCT
ap-5173	217	13	=	=	SYM
ap-5173	217	14	1	1	NUM
ap-5173	217	15	and	and	CCONJ
ap-5173	217	16	all	all	DET
ap-5173	217	17	functions	function	NOUN
ap-5173	217	18	from	from	ADP
ap-5173	217	19	the	the	DET
ap-5173	217	20	set	set	NOUN
ap-5173	217	21	c	c	NOUN
ap-5173	217	22	are	be	AUX
ap-5173	217	23	possible	possible	ADJ
ap-5173	217	24	candidates	candidate	NOUN
ap-5173	217	25	for	for	ADP
ap-5173	217	26	an	an	DET
ap-5173	217	27	inclusion	inclusion	NOUN
ap-5173	217	28	in	in	ADP
ap-5173	217	29	the	the	DET
ap-5173	217	30	model	model	NOUN
ap-5173	217	31	.	.	PUNCT
ap-5173	218	1	as	as	ADP
ap-5173	218	2	in	in	ADP
ap-5173	218	3	the	the	DET
ap-5173	218	4	linear	linear	ADJ
ap-5173	218	5	regression	regression	NOUN
ap-5173	218	6	,	,	PUNCT
ap-5173	218	7	setting	set	VERB
ap-5173	218	8	bm	bm	PROPN
ap-5173	218	9	,	,	PUNCT
ap-5173	218	10	the	the	DET
ap-5173	218	11	coefficients	coefficient	NOUN
ap-5173	218	12	cm	cm	PROPN
ap-5173	218	13	can	can	AUX
ap-5173	218	14	be	be	AUX
ap-5173	218	15	found	find	VERB
ap-5173	218	16	by	by	ADP
ap-5173	218	17	the	the	DET
ap-5173	218	18	method	method	NOUN
ap-5173	218	19	of	of	ADP
ap-5173	218	20	least	least	ADJ
ap-5173	218	21	squares	square	NOUN
ap-5173	218	22	.	.	PUNCT
ap-5173	219	1	another	another	DET
ap-5173	219	2	subroutine	subroutine	NOUN
ap-5173	219	3	of	of	ADP
ap-5173	219	4	mars	mar	NOUN
ap-5173	219	5	performs	perform	VERB
ap-5173	219	6	the	the	DET
ap-5173	219	7	backward	backward	ADJ
ap-5173	219	8	deletion	deletion	NOUN
ap-5173	219	9	strategy	strategy	NOUN
ap-5173	219	10	wherein	wherein	SCONJ
ap-5173	219	11	each	each	DET
ap-5173	219	12	iteration	iteration	NOUN
ap-5173	219	13	causes	cause	VERB
ap-5173	219	14	one	one	NUM
ap-5173	219	15	unnecessary	unnecessary	ADJ
ap-5173	219	16	(	(	PUNCT
ap-5173	219	17	i.e.	i.e.	X
ap-5173	219	18	,	,	PUNCT
ap-5173	219	19	redundant	redundant	ADJ
ap-5173	219	20	)	)	PUNCT
ap-5173	219	21	basis	basis	NOUN
ap-5173	219	22	function	function	NOUN
ap-5173	219	23	to	to	PART
ap-5173	219	24	be	be	AUX
ap-5173	219	25	deleted	delete	VERB
ap-5173	219	26	.	.	PUNCT
ap-5173	220	1	the	the	DET
ap-5173	220	2	inner	inner	ADJ
ap-5173	220	3	loop	loop	NOUN
ap-5173	220	4	of	of	ADP
ap-5173	220	5	the	the	DET
ap-5173	220	6	algorithm	algorithm	NOUN
ap-5173	220	7	will	will	AUX
ap-5173	220	8	select	select	VERB
ap-5173	220	9	327	327	NUM
ap-5173	220	10	j.	j.	PROPN
ap-5173	220	11	kačur	kačur	PROPN
ap-5173	220	12	,	,	PUNCT
ap-5173	220	13	m.	m.	PROPN
ap-5173	220	14	durdán	durdán	PROPN
ap-5173	220	15	,	,	PUNCT
ap-5173	220	16	m.	m.	NOUN
ap-5173	220	17	laciak	laciak	NOUN
ap-5173	220	18	,	,	PUNCT
ap-5173	220	19	p.	p.	PROPN
ap-5173	220	20	flegner	flegner	PROPN
ap-5173	220	21	acta	acta	PROPN
ap-5173	220	22	polytechnica	polytechnica	PROPN
ap-5173	220	23	one	one	NUM
ap-5173	220	24	function	function	NOUN
ap-5173	220	25	to	to	PART
ap-5173	220	26	be	be	AUX
ap-5173	220	27	deleted	delete	VERB
ap-5173	220	28	.	.	PUNCT
ap-5173	221	1	a	a	DET
ap-5173	221	2	function	function	NOUN
ap-5173	221	3	whose	whose	DET
ap-5173	221	4	removal	removal	NOUN
ap-5173	221	5	either	either	CCONJ
ap-5173	221	6	mostly	mostly	ADV
ap-5173	221	7	improves	improve	VERB
ap-5173	221	8	the	the	DET
ap-5173	221	9	fit	fit	ADJ
ap-5173	221	10	or	or	CCONJ
ap-5173	221	11	at	at	ADP
ap-5173	221	12	least	least	ADJ
ap-5173	221	13	degrades	degrade	VERB
ap-5173	221	14	it	it	PRON
ap-5173	221	15	will	will	AUX
ap-5173	221	16	be	be	AUX
ap-5173	221	17	deleted	delete	VERB
ap-5173	221	18	.	.	PUNCT
ap-5173	222	1	however	however	ADV
ap-5173	222	2	,	,	PUNCT
ap-5173	222	3	the	the	DET
ap-5173	222	4	constant	constant	ADJ
ap-5173	222	5	basis	basis	NOUN
ap-5173	222	6	function	function	NOUN
ap-5173	222	7	b1(x	b1(x	NOUN
ap-5173	222	8	)	)	PUNCT
ap-5173	222	9	=	=	SYM
ap-5173	222	10	1	1	NUM
ap-5173	222	11	is	be	AUX
ap-5173	222	12	never	never	ADV
ap-5173	222	13	removed	remove	VERB
ap-5173	222	14	.	.	PUNCT
ap-5173	223	1	the	the	DET
ap-5173	223	2	settings	setting	NOUN
ap-5173	223	3	of	of	ADP
ap-5173	223	4	mars	mar	NOUN
ap-5173	223	5	,	,	PUNCT
ap-5173	223	6	its	its	PRON
ap-5173	223	7	result	result	NOUN
ap-5173	223	8	forms	form	NOUN
ap-5173	223	9	,	,	PUNCT
ap-5173	223	10	and	and	CCONJ
ap-5173	223	11	evaluation	evaluation	NOUN
ap-5173	223	12	of	of	ADP
ap-5173	223	13	its	its	PRON
ap-5173	223	14	performance	performance	NOUN
ap-5173	223	15	are	be	AUX
ap-5173	223	16	discussed	discuss	VERB
ap-5173	223	17	in	in	ADP
ap-5173	223	18	section	section	NOUN
ap-5173	223	19	4.2	4.2	NUM
ap-5173	223	20	.	.	PUNCT
ap-5173	224	1	2.3	2.3	NUM
ap-5173	224	2	.	.	PUNCT
ap-5173	225	1	support	support	NOUN
ap-5173	225	2	vector	vector	NOUN
ap-5173	225	3	regression	regression	NOUN
ap-5173	225	4	back	back	ADJ
ap-5173	225	5	-	-	PUNCT
ap-5173	225	6	propagation	propagation	NOUN
ap-5173	225	7	nns	nn	NOUN
ap-5173	225	8	are	be	AUX
ap-5173	225	9	capable	capable	ADJ
ap-5173	225	10	of	of	ADP
ap-5173	225	11	representing	represent	VERB
ap-5173	225	12	general	general	ADJ
ap-5173	225	13	non	non	ADJ
ap-5173	225	14	-	-	ADJ
ap-5173	225	15	linear	linear	ADJ
ap-5173	225	16	functions	function	NOUN
ap-5173	225	17	,	,	PUNCT
ap-5173	225	18	but	but	CCONJ
ap-5173	225	19	its	its	PRON
ap-5173	225	20	disadvantage	disadvantage	NOUN
ap-5173	225	21	is	be	AUX
ap-5173	225	22	often	often	ADV
ap-5173	225	23	very	very	ADV
ap-5173	225	24	difficult	difficult	ADJ
ap-5173	225	25	teaching	teaching	NOUN
ap-5173	225	26	,	,	PUNCT
ap-5173	225	27	because	because	SCONJ
ap-5173	225	28	,	,	PUNCT
ap-5173	225	29	practically	practically	ADV
ap-5173	225	30	,	,	PUNCT
ap-5173	225	31	there	there	PRON
ap-5173	225	32	is	be	VERB
ap-5173	225	33	always	always	ADV
ap-5173	225	34	a	a	DET
ap-5173	225	35	risk	risk	NOUN
ap-5173	225	36	of	of	ADP
ap-5173	225	37	a	a	DET
ap-5173	225	38	deadlock	deadlock	NOUN
ap-5173	225	39	in	in	ADP
ap-5173	225	40	the	the	DET
ap-5173	225	41	local	local	ADJ
ap-5173	225	42	minimum	minimum	NOUN
ap-5173	225	43	of	of	ADP
ap-5173	225	44	the	the	DET
ap-5173	225	45	error	error	NOUN
ap-5173	225	46	function	function	NOUN
ap-5173	225	47	,	,	PUNCT
ap-5173	225	48	and	and	CCONJ
ap-5173	225	49	in	in	ADP
ap-5173	225	50	addition	addition	NOUN
ap-5173	225	51	,	,	PUNCT
ap-5173	225	52	the	the	DET
ap-5173	225	53	learning	learning	NOUN
ap-5173	225	54	is	be	AUX
ap-5173	225	55	highly	highly	ADV
ap-5173	225	56	complicated	complicated	ADJ
ap-5173	225	57	by	by	ADP
ap-5173	225	58	looking	look	VERB
ap-5173	225	59	for	for	ADP
ap-5173	225	60	a	a	DET
ap-5173	225	61	high	high	ADJ
ap-5173	225	62	number	number	NOUN
ap-5173	225	63	of	of	ADP
ap-5173	225	64	weights	weight	NOUN
ap-5173	225	65	in	in	ADP
ap-5173	225	66	the	the	DET
ap-5173	225	67	multidimensional	multidimensional	ADJ
ap-5173	225	68	space	space	NOUN
ap-5173	225	69	.	.	PUNCT
ap-5173	226	1	an	an	DET
ap-5173	226	2	alternative	alternative	ADJ
ap-5173	226	3	and	and	CCONJ
ap-5173	226	4	relatively	relatively	ADV
ap-5173	226	5	new	new	ADJ
ap-5173	226	6	approach	approach	NOUN
ap-5173	226	7	are	be	AUX
ap-5173	226	8	the	the	DET
ap-5173	226	9	so	so	ADV
ap-5173	226	10	-	-	PUNCT
ap-5173	226	11	called	call	VERB
ap-5173	226	12	support	support	NOUN
ap-5173	226	13	vector	vector	NOUN
ap-5173	226	14	machines	machine	NOUN
ap-5173	226	15	(	(	PUNCT
ap-5173	226	16	svms	svms	NOUN
ap-5173	226	17	)	)	PUNCT
ap-5173	226	18	.	.	PUNCT
ap-5173	227	1	the	the	DET
ap-5173	227	2	svms	svms	NOUN
ap-5173	227	3	are	be	AUX
ap-5173	227	4	used	use	VERB
ap-5173	227	5	for	for	ADP
ap-5173	227	6	time	time	NOUN
ap-5173	227	7	series	series	PROPN
ap-5173	227	8	prediction	prediction	NOUN
ap-5173	227	9	and	and	CCONJ
ap-5173	227	10	classification	classification	NOUN
ap-5173	227	11	tasks	task	NOUN
ap-5173	227	12	.	.	PUNCT
ap-5173	228	1	these	these	DET
ap-5173	228	2	methods	method	NOUN
ap-5173	228	3	represent	represent	VERB
ap-5173	228	4	the	the	DET
ap-5173	228	5	field	field	NOUN
ap-5173	228	6	of	of	ADP
ap-5173	228	7	the	the	DET
ap-5173	228	8	so	so	ADV
ap-5173	228	9	-	-	PUNCT
ap-5173	228	10	called	call	VERB
ap-5173	228	11	kernel	kernel	PROPN
ap-5173	228	12	machines	machine	NOUN
ap-5173	228	13	and	and	CCONJ
ap-5173	228	14	exploit	exploit	VERB
ap-5173	228	15	the	the	DET
ap-5173	228	16	benefits	benefit	NOUN
ap-5173	228	17	provided	provide	VERB
ap-5173	228	18	by	by	ADP
ap-5173	228	19	effective	effective	ADJ
ap-5173	228	20	algorithms	algorithm	NOUN
ap-5173	228	21	for	for	ADP
ap-5173	228	22	finding	find	VERB
ap-5173	228	23	a	a	DET
ap-5173	228	24	linear	linear	ADJ
ap-5173	228	25	boundary	boundary	NOUN
ap-5173	228	26	while	while	SCONJ
ap-5173	228	27	being	be	AUX
ap-5173	228	28	able	able	ADJ
ap-5173	228	29	to	to	PART
ap-5173	228	30	represent	represent	VERB
ap-5173	228	31	highly	highly	ADV
ap-5173	228	32	complex	complex	ADJ
ap-5173	228	33	non	non	ADJ
ap-5173	228	34	-	-	ADJ
ap-5173	228	35	linear	linear	ADJ
ap-5173	228	36	functions	function	NOUN
ap-5173	228	37	.	.	PUNCT
ap-5173	229	1	kernel	kernel	PROPN
ap-5173	229	2	functions	function	NOUN
ap-5173	229	3	methods	method	NOUN
ap-5173	229	4	try	try	VERB
ap-5173	229	5	to	to	PART
ap-5173	229	6	find	find	VERB
ap-5173	229	7	an	an	DET
ap-5173	229	8	optimal	optimal	ADJ
ap-5173	229	9	linear	linear	NOUN
ap-5173	229	10	separator	separator	NOUN
ap-5173	229	11	.	.	PUNCT
ap-5173	230	1	the	the	DET
ap-5173	230	2	optimal	optimal	ADJ
ap-5173	230	3	linear	linear	ADJ
ap-5173	230	4	separator	separator	NOUN
ap-5173	230	5	in	in	ADP
ap-5173	230	6	an	an	DET
ap-5173	230	7	svm	svm	ADJ
ap-5173	230	8	algorithm	algorithm	NOUN
ap-5173	230	9	is	be	AUX
ap-5173	230	10	searched	search	VERB
ap-5173	230	11	using	use	VERB
ap-5173	230	12	the	the	DET
ap-5173	230	13	quadratic	quadratic	ADJ
ap-5173	230	14	programming	programming	NOUN
ap-5173	230	15	method	method	NOUN
ap-5173	230	16	.	.	PUNCT
ap-5173	231	1	in	in	ADP
ap-5173	231	2	support	support	NOUN
ap-5173	231	3	vector	vector	NOUN
ap-5173	231	4	regression	regression	NOUN
ap-5173	231	5	(	(	PUNCT
ap-5173	231	6	svr	svr	PROPN
ap-5173	231	7	)	)	PUNCT
ap-5173	231	8	the	the	DET
ap-5173	231	9	data	datum	NOUN
ap-5173	231	10	x	x	SYM
ap-5173	231	11	∈	∈	PROPN
ap-5173	231	12	x	x	NOUN
ap-5173	231	13	are	be	AUX
ap-5173	231	14	mapped	map	VERB
ap-5173	231	15	into	into	ADP
ap-5173	231	16	a	a	DET
ap-5173	231	17	high	high	ADJ
ap-5173	231	18	-	-	PUNCT
ap-5173	231	19	dimensional	dimensional	ADJ
ap-5173	231	20	feature	feature	NOUN
ap-5173	231	21	space	space	NOUN
ap-5173	231	22	f	f	PROPN
ap-5173	231	23	via	via	ADP
ap-5173	231	24	a	a	DET
ap-5173	231	25	nonlinear	nonlinear	ADJ
ap-5173	231	26	mapping	mapping	NOUN
ap-5173	231	27	φ	φ	NOUN
ap-5173	231	28	,	,	PUNCT
ap-5173	231	29	and	and	CCONJ
ap-5173	231	30	to	to	PART
ap-5173	231	31	do	do	VERB
ap-5173	231	32	linear	linear	ADJ
ap-5173	231	33	regression	regression	NOUN
ap-5173	231	34	in	in	ADP
ap-5173	231	35	this	this	DET
ap-5173	231	36	space	space	NOUN
ap-5173	231	37	[	[	X
ap-5173	231	38	36	36	NUM
ap-5173	231	39	,	,	PUNCT
ap-5173	231	40	37	37	NUM
ap-5173	231	41	]	]	PUNCT
ap-5173	231	42	.	.	PUNCT
ap-5173	232	1	input	input	NOUN
ap-5173	232	2	data	datum	NOUN
ap-5173	232	3	(	(	PUNCT
ap-5173	232	4	i.e.	i.e.	X
ap-5173	232	5	,	,	PUNCT
ap-5173	232	6	observations	observation	NOUN
ap-5173	232	7	)	)	PUNCT
ap-5173	232	8	are	be	AUX
ap-5173	232	9	represented	represent	VERB
ap-5173	232	10	by	by	ADP
ap-5173	232	11	vector	vector	NOUN
ap-5173	232	12	x	x	X
ap-5173	232	13	=	=	SYM
ap-5173	232	14	(	(	PUNCT
ap-5173	232	15	x1,x2	x1,x2	PROPN
ap-5173	232	16	,	,	PUNCT
ap-5173	232	17	...	...	PUNCT
ap-5173	232	18	,	,	PUNCT
ap-5173	232	19	xl	xl	PROPN
ap-5173	232	20	)	)	PUNCT
ap-5173	232	21	where	where	SCONJ
ap-5173	232	22	l	l	NOUN
ap-5173	232	23	denotes	denote	VERB
ap-5173	232	24	the	the	DET
ap-5173	232	25	size	size	NOUN
ap-5173	232	26	of	of	ADP
ap-5173	232	27	the	the	DET
ap-5173	232	28	sample	sample	NOUN
ap-5173	232	29	.	.	PUNCT
ap-5173	233	1	taking	take	VERB
ap-5173	233	2	into	into	ADP
ap-5173	233	3	account	account	NOUN
ap-5173	233	4	regression	regression	NOUN
ap-5173	233	5	with	with	ADP
ap-5173	233	6	one	one	NUM
ap-5173	233	7	target	target	NOUN
ap-5173	233	8	variable	variable	ADJ
ap-5173	233	9	y	y	NOUN
ap-5173	233	10	,	,	PUNCT
ap-5173	233	11	so	so	SCONJ
ap-5173	233	12	observations	observation	NOUN
ap-5173	233	13	on	on	ADP
ap-5173	233	14	the	the	DET
ap-5173	233	15	examined	examine	VERB
ap-5173	233	16	process	process	NOUN
ap-5173	233	17	can	can	AUX
ap-5173	233	18	be	be	AUX
ap-5173	233	19	written	write	VERB
ap-5173	233	20	as	as	ADP
ap-5173	233	21	a	a	DET
ap-5173	233	22	sequence	sequence	NOUN
ap-5173	233	23	of	of	ADP
ap-5173	233	24	pairs	pair	NOUN
ap-5173	233	25	(	(	PUNCT
ap-5173	233	26	x1	x1	PROPN
ap-5173	233	27	,	,	PUNCT
ap-5173	233	28	y1	y1	PROPN
ap-5173	233	29	)	)	PUNCT
ap-5173	233	30	,	,	PUNCT
ap-5173	233	31	...	...	PUNCT
ap-5173	233	32	,	,	PUNCT
ap-5173	233	33	(	(	PUNCT
ap-5173	233	34	xi	xi	PROPN
ap-5173	233	35	,	,	PUNCT
ap-5173	233	36	yi	yi	PROPN
ap-5173	233	37	)	)	PUNCT
ap-5173	233	38	,	,	PUNCT
ap-5173	233	39	...	...	PUNCT
ap-5173	233	40	,	,	PUNCT
ap-5173	233	41	(	(	PUNCT
ap-5173	233	42	xl	xl	PROPN
ap-5173	233	43	,	,	PUNCT
ap-5173	233	44	yl	yl	NOUN
ap-5173	233	45	)	)	PUNCT
ap-5173	233	46	,	,	PUNCT
ap-5173	233	47	xi	xi	PROPN
ap-5173	233	48	∈	∈	PROPN
ap-5173	233	49	rn	rn	PROPN
ap-5173	233	50	,	,	PUNCT
ap-5173	233	51	yi	yi	PROPN
ap-5173	233	52	∈	∈	PROPN
ap-5173	233	53	r.	r.	PROPN
ap-5173	233	54	vector	vector	PROPN
ap-5173	233	55	xi	xi	PROPN
ap-5173	233	56	represents	represent	VERB
ap-5173	233	57	one	one	NUM
ap-5173	233	58	pattern	pattern	NOUN
ap-5173	233	59	of	of	ADP
ap-5173	233	60	input	input	NOUN
ap-5173	233	61	observations	observation	NOUN
ap-5173	233	62	xi	xi	X
ap-5173	234	1	=	=	SYM
ap-5173	234	2	(	(	PUNCT
ap-5173	234	3	xi1	xi1	PROPN
ap-5173	234	4	,	,	PUNCT
ap-5173	234	5	xi2	xi2	PROPN
ap-5173	234	6	,	,	PUNCT
ap-5173	234	7	...	...	PUNCT
ap-5173	234	8	,	,	PUNCT
ap-5173	234	9	xin	xin	PROPN
ap-5173	234	10	)	)	PUNCT
ap-5173	234	11	.	.	PUNCT
ap-5173	235	1	in	in	ADP
ap-5173	235	2	the	the	DET
ap-5173	235	3	case	case	NOUN
ap-5173	235	4	of	of	ADP
ap-5173	235	5	observing	observe	VERB
ap-5173	235	6	process	process	NOUN
ap-5173	235	7	variables	variable	NOUN
ap-5173	235	8	during	during	ADP
ap-5173	235	9	the	the	DET
ap-5173	235	10	ucg	ucg	NOUN
ap-5173	235	11	,	,	PUNCT
ap-5173	235	12	this	this	DET
ap-5173	235	13	vector	vector	NOUN
ap-5173	235	14	may	may	AUX
ap-5173	235	15	contain	contain	VERB
ap-5173	235	16	measured	measured	ADJ
ap-5173	235	17	data	datum	NOUN
ap-5173	235	18	from	from	ADP
ap-5173	235	19	the	the	DET
ap-5173	235	20	database	database	NOUN
ap-5173	235	21	.	.	PUNCT
ap-5173	236	1	thus	thus	ADV
ap-5173	236	2	,	,	PUNCT
ap-5173	236	3	a	a	DET
ap-5173	236	4	linear	linear	ADJ
ap-5173	236	5	regression	regression	NOUN
ap-5173	236	6	in	in	ADP
ap-5173	236	7	a	a	DET
ap-5173	236	8	high	high	ADJ
ap-5173	236	9	dimensional	dimensional	ADJ
ap-5173	236	10	(	(	PUNCT
ap-5173	236	11	feature	feature	NOUN
ap-5173	236	12	)	)	PUNCT
ap-5173	236	13	space	space	NOUN
ap-5173	236	14	corresponds	correspond	VERB
ap-5173	236	15	to	to	ADP
ap-5173	236	16	a	a	DET
ap-5173	236	17	non	non	ADJ
ap-5173	236	18	-	-	ADJ
ap-5173	236	19	linear	linear	ADJ
ap-5173	236	20	regression	regression	NOUN
ap-5173	236	21	in	in	ADP
ap-5173	236	22	the	the	DET
ap-5173	236	23	low	low	ADJ
ap-5173	236	24	dimensional	dimensional	ADJ
ap-5173	236	25	input	input	NOUN
ap-5173	236	26	space	space	NOUN
ap-5173	236	27	rn	rn	PROPN
ap-5173	236	28	.	.	PUNCT
ap-5173	237	1	the	the	DET
ap-5173	237	2	whole	whole	ADJ
ap-5173	237	3	problem	problem	NOUN
ap-5173	237	4	of	of	ADP
ap-5173	237	5	the	the	DET
ap-5173	237	6	svr	svr	PROPN
ap-5173	237	7	can	can	AUX
ap-5173	237	8	be	be	AUX
ap-5173	237	9	rewritten	rewrite	VERB
ap-5173	237	10	in	in	ADP
ap-5173	237	11	terms	term	NOUN
ap-5173	237	12	of	of	ADP
ap-5173	237	13	dot	dot	NOUN
ap-5173	237	14	products	product	NOUN
ap-5173	237	15	in	in	ADP
ap-5173	237	16	the	the	DET
ap-5173	237	17	low	low	ADJ
ap-5173	237	18	dimensional	dimensional	ADJ
ap-5173	237	19	input	input	NOUN
ap-5173	237	20	space	space	NOUN
ap-5173	237	21	[	[	X
ap-5173	237	22	38	38	NUM
ap-5173	237	23	]	]	PUNCT
ap-5173	237	24	.	.	PUNCT
ap-5173	238	1	f(x	f(x	PROPN
ap-5173	238	2	)	)	PUNCT
ap-5173	239	1	=	=	PUNCT
ap-5173	240	1	l∑	l∑	NUM
ap-5173	240	2	i=1	i=1	PROPN
ap-5173	241	1	(	(	PUNCT
ap-5173	241	2	αi	αi	INTJ
ap-5173	241	3	−	−	PROPN
ap-5173	241	4	α∗i	α∗i	NUM
ap-5173	241	5	)	)	PUNCT
ap-5173	241	6	(	(	PUNCT
ap-5173	241	7	φ(xi	φ(xi	NUM
ap-5173	241	8	)	)	PUNCT
ap-5173	241	9	·	·	PUNCT
ap-5173	241	10	φ(x	φ(x	NOUN
ap-5173	241	11	)	)	PUNCT
ap-5173	241	12	)	)	PUNCT
ap-5173	242	1	+	+	PUNCT
ap-5173	242	2	b	b	X
ap-5173	242	3	=	=	SYM
ap-5173	242	4	l∑	l∑	PROPN
ap-5173	242	5	i=1	i=1	PROPN
ap-5173	243	1	(	(	PUNCT
ap-5173	243	2	αi	αi	INTJ
ap-5173	243	3	−	−	PROPN
ap-5173	243	4	α∗i	α∗i	NUM
ap-5173	243	5	)	)	PUNCT
ap-5173	243	6	k(xi	k(xi	PROPN
ap-5173	243	7	,	,	PUNCT
ap-5173	243	8	x	x	X
ap-5173	243	9	)	)	PUNCT
ap-5173	244	1	+	+	NUM
ap-5173	244	2	b	b	X
ap-5173	244	3	(	(	PUNCT
ap-5173	244	4	14	14	NUM
ap-5173	244	5	)	)	PUNCT
ap-5173	244	6	given	give	VERB
ap-5173	244	7	two	two	NUM
ap-5173	244	8	points	point	NOUN
ap-5173	244	9	xi	xi	PROPN
ap-5173	244	10	,	,	PUNCT
ap-5173	244	11	xj	xj	PROPN
ap-5173	244	12	∈	∈	PROPN
ap-5173	244	13	x	x	INTJ
ap-5173	244	14	,	,	PUNCT
ap-5173	244	15	the	the	DET
ap-5173	244	16	function	function	NOUN
ap-5173	244	17	that	that	PRON
ap-5173	244	18	returns	return	VERB
ap-5173	244	19	the	the	DET
ap-5173	244	20	inner	inner	ADJ
ap-5173	244	21	product	product	NOUN
ap-5173	244	22	between	between	ADP
ap-5173	244	23	their	their	PRON
ap-5173	244	24	images	image	NOUN
ap-5173	244	25	in	in	ADP
ap-5173	244	26	the	the	DET
ap-5173	244	27	space	space	NOUN
ap-5173	244	28	f	f	PROPN
ap-5173	244	29	is	be	AUX
ap-5173	244	30	known	know	VERB
ap-5173	244	31	as	as	ADP
ap-5173	244	32	the	the	DET
ap-5173	244	33	kernel	kernel	PROPN
ap-5173	244	34	function	function	NOUN
ap-5173	244	35	.	.	PUNCT
ap-5173	245	1	in	in	ADP
ap-5173	245	2	equation	equation	NOUN
ap-5173	245	3	(	(	PUNCT
ap-5173	245	4	14	14	NUM
ap-5173	245	5	)	)	PUNCT
ap-5173	245	6	a	a	DET
ap-5173	245	7	kernel	kernel	NOUN
ap-5173	245	8	function	function	NOUN
ap-5173	245	9	k(xi	k(xi	PROPN
ap-5173	245	10	,	,	PUNCT
ap-5173	245	11	xj	xj	PROPN
ap-5173	245	12	)	)	PUNCT
ap-5173	245	13	=	=	SYM
ap-5173	245	14	(	(	PUNCT
ap-5173	245	15	φ(xi	φ(xi	PROPN
ap-5173	245	16	)	)	PUNCT
ap-5173	245	17	·	·	PUNCT
ap-5173	245	18	φ(xj	φ(xj	NOUN
ap-5173	245	19	)	)	PUNCT
ap-5173	245	20	)	)	PUNCT
ap-5173	245	21	is	be	AUX
ap-5173	245	22	introduced	introduce	VERB
ap-5173	245	23	.	.	PUNCT
ap-5173	246	1	kernel	kernel	PROPN
ap-5173	246	2	type	type	PROPN
ap-5173	246	3	kernel	kernel	PROPN
ap-5173	246	4	function	function	PROPN
ap-5173	246	5	gaussian	gaussian	NOUN
ap-5173	246	6	(	(	PUNCT
ap-5173	246	7	rbf	rbf	PROPN
ap-5173	246	8	)	)	PUNCT
ap-5173	246	9	kernel	kernel	PROPN
ap-5173	246	10	k(xi	k(xi	PROPN
ap-5173	246	11	,	,	PUNCT
ap-5173	246	12	xj	xj	PROPN
ap-5173	246	13	)	)	PUNCT
ap-5173	246	14	=	=	SYM
ap-5173	247	1	e−γ||xi−xj	e−γ||xi−xj	PROPN
ap-5173	247	2	||2	||2	NOUN
ap-5173	247	3	linear	linear	ADJ
ap-5173	247	4	kernel	kernel	PROPN
ap-5173	247	5	k(xi	k(xi	PROPN
ap-5173	247	6	,	,	PUNCT
ap-5173	247	7	xj	xj	PROPN
ap-5173	247	8	)	)	PUNCT
ap-5173	247	9	=	=	PUNCT
ap-5173	247	10	xti	xti	PROPN
ap-5173	247	11	xj	xj	PROPN
ap-5173	247	12	polynomial	polynomial	ADJ
ap-5173	247	13	kernel	kernel	PROPN
ap-5173	247	14	k(xi	k(xi	PROPN
ap-5173	247	15	,	,	PUNCT
ap-5173	247	16	xj	xj	PROPN
ap-5173	247	17	)	)	PUNCT
ap-5173	247	18	=	=	PRON
ap-5173	247	19	(	(	PUNCT
ap-5173	247	20	γ(xti	γ(xti	NOUN
ap-5173	247	21	xj	xj	PROPN
ap-5173	247	22	+	+	NOUN
ap-5173	247	23	1))d	1))d	NUM
ap-5173	247	24	sigmoid	sigmoid	NOUN
ap-5173	247	25	kernel	kernel	NOUN
ap-5173	247	26	k(xi	k(xi	PROPN
ap-5173	247	27	,	,	PUNCT
ap-5173	247	28	xj	xj	PROPN
ap-5173	247	29	)	)	PUNCT
ap-5173	247	30	=	=	SYM
ap-5173	247	31	tanh	tanh	PROPN
ap-5173	247	32	(	(	PUNCT
ap-5173	247	33	γxti	γxti	PROPN
ap-5173	247	34	xj	xj	PROPN
ap-5173	247	35	+	+	PROPN
ap-5173	247	36	d	d	X
ap-5173	247	37	)	)	PUNCT
ap-5173	247	38	table	table	NOUN
ap-5173	247	39	1	1	NUM
ap-5173	247	40	.	.	PUNCT
ap-5173	248	1	overview	overview	NOUN
ap-5173	248	2	of	of	ADP
ap-5173	248	3	common	common	ADJ
ap-5173	248	4	kernels	kernel	NOUN
ap-5173	248	5	used	use	VERB
ap-5173	248	6	by	by	ADP
ap-5173	248	7	svr	svr	PROPN
ap-5173	248	8	(	(	PUNCT
ap-5173	248	9	γ	γ	PROPN
ap-5173	248	10	is	be	AUX
ap-5173	248	11	a	a	DET
ap-5173	248	12	kernel	kernel	NOUN
ap-5173	248	13	parameter	parameter	NOUN
ap-5173	248	14	controlling	control	VERB
ap-5173	248	15	the	the	DET
ap-5173	248	16	sensitivity	sensitivity	NOUN
ap-5173	248	17	of	of	ADP
ap-5173	248	18	the	the	DET
ap-5173	248	19	kernel	kernel	PROPN
ap-5173	248	20	function	function	NOUN
ap-5173	248	21	,	,	PUNCT
ap-5173	248	22	and	and	CCONJ
ap-5173	248	23	d	d	NOUN
ap-5173	248	24	is	be	AUX
ap-5173	248	25	an	an	DET
ap-5173	248	26	integer	integer	NOUN
ap-5173	248	27	)	)	PUNCT
ap-5173	248	28	.	.	PUNCT
ap-5173	249	1	prameters	prameter	NOUN
ap-5173	249	2	αi	αi	VERB
ap-5173	249	3	,	,	PUNCT
ap-5173	249	4	α∗i	α∗i	NUM
ap-5173	249	5	are	be	AUX
ap-5173	249	6	the	the	DET
ap-5173	249	7	solutions	solution	NOUN
ap-5173	249	8	of	of	ADP
ap-5173	249	9	the	the	DET
ap-5173	249	10	quadratic	quadratic	ADJ
ap-5173	249	11	programming	programming	NOUN
ap-5173	249	12	problem	problem	NOUN
ap-5173	249	13	[	[	X
ap-5173	249	14	37	37	NUM
ap-5173	249	15	]	]	PUNCT
ap-5173	249	16	.	.	PUNCT
ap-5173	250	1	these	these	DET
ap-5173	250	2	parameters	parameter	NOUN
ap-5173	250	3	have	have	VERB
ap-5173	250	4	an	an	DET
ap-5173	250	5	intuitive	intuitive	ADJ
ap-5173	250	6	interpretation	interpretation	NOUN
ap-5173	250	7	as	as	ADP
ap-5173	250	8	forces	force	NOUN
ap-5173	250	9	pushing	push	VERB
ap-5173	250	10	and	and	CCONJ
ap-5173	250	11	pulling	pull	VERB
ap-5173	250	12	the	the	DET
ap-5173	250	13	estimate	estimate	NOUN
ap-5173	250	14	f(xi	f(xi	PROPN
ap-5173	250	15	)	)	PUNCT
ap-5173	250	16	towards	towards	ADP
ap-5173	250	17	the	the	DET
ap-5173	250	18	measurements	measurement	NOUN
ap-5173	250	19	yi	yi	PROPN
ap-5173	250	20	.	.	PUNCT
ap-5173	251	1	parameter	parameter	PROPN
ap-5173	251	2	b	b	PROPN
ap-5173	251	3	is	be	AUX
ap-5173	251	4	a	a	DET
ap-5173	251	5	threshold	threshold	NOUN
ap-5173	251	6	.	.	PUNCT
ap-5173	252	1	common	common	ADJ
ap-5173	252	2	kernels	kernel	NOUN
ap-5173	252	3	are	be	AUX
ap-5173	252	4	summarized	summarize	VERB
ap-5173	252	5	in	in	ADP
ap-5173	252	6	table	table	NOUN
ap-5173	252	7	1	1	NUM
ap-5173	252	8	.	.	PUNCT
ap-5173	253	1	in	in	ADP
ap-5173	253	2	this	this	DET
ap-5173	253	3	paper	paper	NOUN
ap-5173	253	4	,	,	PUNCT
ap-5173	253	5	the	the	DET
ap-5173	253	6	linear	linear	PROPN
ap-5173	253	7	epsilon	epsilon	NOUN
ap-5173	253	8	-	-	PUNCT
ap-5173	253	9	insensitive	insensitive	ADJ
ap-5173	253	10	svm	svm	NOUN
ap-5173	253	11	(	(	PUNCT
ap-5173	253	12	ε	ε	NOUN
ap-5173	253	13	-	-	PUNCT
ap-5173	253	14	svm	svm	NOUN
ap-5173	253	15	)	)	PUNCT
ap-5173	253	16	regression	regression	NOUN
ap-5173	253	17	has	have	AUX
ap-5173	253	18	been	be	AUX
ap-5173	253	19	used	use	VERB
ap-5173	253	20	.	.	PUNCT
ap-5173	254	1	for	for	ADP
ap-5173	254	2	this	this	DET
ap-5173	254	3	special	special	ADJ
ap-5173	254	4	cost	cost	NOUN
ap-5173	254	5	function	function	NOUN
ap-5173	254	6	,	,	PUNCT
ap-5173	254	7	the	the	DET
ap-5173	254	8	lagrange	lagrange	PROPN
ap-5173	254	9	multipliers	multiplier	VERB
ap-5173	254	10	αi	αi	ADP
ap-5173	254	11	,	,	PUNCT
ap-5173	254	12	α∗i	α∗i	NUM
ap-5173	254	13	are	be	AUX
ap-5173	254	14	often	often	ADV
ap-5173	254	15	sparse	sparse	ADJ
ap-5173	254	16	,	,	PUNCT
ap-5173	254	17	i.e.	i.e.	X
ap-5173	254	18	,	,	PUNCT
ap-5173	254	19	they	they	PRON
ap-5173	254	20	result	result	VERB
ap-5173	254	21	in	in	ADP
ap-5173	254	22	non	non	ADJ
ap-5173	254	23	-	-	ADJ
ap-5173	254	24	zero	zero	ADJ
ap-5173	254	25	values	value	NOUN
ap-5173	254	26	after	after	ADP
ap-5173	254	27	the	the	DET
ap-5173	254	28	optimization	optimization	NOUN
ap-5173	254	29	only	only	ADV
ap-5173	254	30	if	if	SCONJ
ap-5173	254	31	they	they	PRON
ap-5173	254	32	are	be	AUX
ap-5173	254	33	on	on	ADP
ap-5173	254	34	or	or	CCONJ
ap-5173	254	35	outside	outside	ADP
ap-5173	254	36	the	the	DET
ap-5173	254	37	boundary	boundary	NOUN
ap-5173	254	38	,	,	PUNCT
ap-5173	254	39	which	which	PRON
ap-5173	254	40	means	mean	VERB
ap-5173	254	41	that	that	SCONJ
ap-5173	254	42	they	they	PRON
ap-5173	254	43	fulfill	fulfill	VERB
ap-5173	254	44	the	the	DET
ap-5173	254	45	karush	karush	PROPN
ap-5173	254	46	-	-	PUNCT
ap-5173	254	47	kuhn	kuhn	PROPN
ap-5173	254	48	-	-	PUNCT
ap-5173	254	49	tucker	tucker	PROPN
ap-5173	254	50	(	(	PUNCT
ap-5173	254	51	kkt	kkt	PROPN
ap-5173	254	52	)	)	PUNCT
ap-5173	254	53	conditions	condition	NOUN
ap-5173	254	54	.	.	PUNCT
ap-5173	255	1	the	the	DET
ap-5173	255	2	ε	ε	PROPN
ap-5173	255	3	-	-	PUNCT
ap-5173	255	4	insensitive	insensitive	ADJ
ap-5173	255	5	cost	cost	NOUN
ap-5173	255	6	function	function	NOUN
ap-5173	255	7	is	be	AUX
ap-5173	255	8	given	give	VERB
ap-5173	255	9	by	by	ADP
ap-5173	255	10	c(f(x)−	c(f(x)−	PROPN
ap-5173	255	11	y	y	PROPN
ap-5173	255	12	)	)	PUNCT
ap-5173	256	1	=	=	NOUN
ap-5173	256	2	{	{	PUNCT
ap-5173	256	3	|f(x)−	|f(x)−	NOUN
ap-5173	256	4	y|	y|	NOUN
ap-5173	256	5	−	−	PROPN
ap-5173	256	6	ε	ε	PROPN
ap-5173	256	7	for	for	ADP
ap-5173	256	8	|f(x)−	|f(x)−	NOUN
ap-5173	256	9	y|	y|	NOUN
ap-5173	256	10	≥	≥	NOUN
ap-5173	256	11	ε	ε	PROPN
ap-5173	256	12	0	0	NUM
ap-5173	256	13	otherwise	otherwise	ADV
ap-5173	256	14	(	(	PUNCT
ap-5173	256	15	15	15	NUM
ap-5173	256	16	)	)	PUNCT
ap-5173	256	17	in	in	ADP
ap-5173	256	18	ε	ε	PROPN
ap-5173	256	19	-	-	PUNCT
ap-5173	256	20	svm	svm	PROPN
ap-5173	256	21	regression	regression	NOUN
ap-5173	256	22	,	,	PUNCT
ap-5173	256	23	the	the	DET
ap-5173	256	24	set	set	NOUN
ap-5173	256	25	of	of	ADP
ap-5173	256	26	training	training	NOUN
ap-5173	256	27	data	datum	NOUN
ap-5173	256	28	includes	include	VERB
ap-5173	256	29	predictor	predictor	NOUN
ap-5173	256	30	variables	variable	NOUN
ap-5173	256	31	and	and	CCONJ
ap-5173	256	32	observed	observed	ADJ
ap-5173	256	33	response	response	NOUN
ap-5173	256	34	values	value	NOUN
ap-5173	256	35	.	.	PUNCT
ap-5173	257	1	the	the	DET
ap-5173	257	2	goal	goal	NOUN
ap-5173	257	3	is	be	AUX
ap-5173	257	4	to	to	PART
ap-5173	257	5	find	find	VERB
ap-5173	257	6	a	a	DET
ap-5173	257	7	function	function	NOUN
ap-5173	257	8	f(x	f(x	PROPN
ap-5173	257	9	)	)	PUNCT
ap-5173	257	10	that	that	PRON
ap-5173	257	11	deviates	deviate	VERB
ap-5173	257	12	from	from	ADP
ap-5173	257	13	y	y	PRON
ap-5173	257	14	by	by	ADP
ap-5173	257	15	a	a	DET
ap-5173	257	16	value	value	NOUN
ap-5173	257	17	no	no	ADV
ap-5173	257	18	higher	high	ADJ
ap-5173	257	19	than	than	ADP
ap-5173	257	20	ε	ε	PROPN
ap-5173	257	21	for	for	ADP
ap-5173	257	22	each	each	DET
ap-5173	257	23	training	training	NOUN
ap-5173	257	24	point	point	NOUN
ap-5173	257	25	x	x	ADP
ap-5173	257	26	,	,	PUNCT
ap-5173	257	27	and	and	CCONJ
ap-5173	257	28	at	at	ADP
ap-5173	257	29	the	the	DET
ap-5173	257	30	same	same	ADJ
ap-5173	257	31	time	time	NOUN
ap-5173	257	32	is	be	AUX
ap-5173	257	33	as	as	ADV
ap-5173	257	34	flat	flat	ADJ
ap-5173	257	35	as	as	ADP
ap-5173	257	36	possible	possible	ADJ
ap-5173	257	37	.	.	PUNCT
ap-5173	258	1	in	in	ADP
ap-5173	258	2	svr	svr	PROPN
ap-5173	258	3	the	the	DET
ap-5173	258	4	kernel	kernel	PROPN
ap-5173	258	5	matrix	matrix	NOUN
ap-5173	258	6	k	k	PROPN
ap-5173	258	7	=	=	PRON
ap-5173	258	8	(	(	PUNCT
ap-5173	258	9	k(xi	k(xi	PROPN
ap-5173	258	10	,	,	PUNCT
ap-5173	258	11	xj))li	xj))li	PROPN
ap-5173	258	12	,	,	PUNCT
ap-5173	258	13	j=1	j=1	PROPN
ap-5173	258	14	(	(	PUNCT
ap-5173	258	15	xi	xi	PROPN
ap-5173	258	16	,	,	PUNCT
ap-5173	258	17	xj	xj	PROPN
ap-5173	258	18	∈	∈	PROPN
ap-5173	258	19	x	x	PUNCT
ap-5173	258	20	)	)	PUNCT
ap-5173	258	21	is	be	AUX
ap-5173	258	22	introduced	introduce	VERB
ap-5173	258	23	.	.	PUNCT
ap-5173	259	1	it	it	PRON
ap-5173	259	2	is	be	AUX
ap-5173	259	3	a	a	DET
ap-5173	259	4	symmetric	symmetric	ADJ
ap-5173	259	5	positive	positive	ADJ
ap-5173	259	6	definite	definite	ADJ
ap-5173	259	7	matrix	matrix	NOUN
ap-5173	259	8	of	of	ADP
ap-5173	259	9	inner	inner	ADJ
ap-5173	259	10	products	product	NOUN
ap-5173	259	11	between	between	ADP
ap-5173	259	12	all	all	DET
ap-5173	259	13	pairs	pair	NOUN
ap-5173	259	14	of	of	ADP
ap-5173	259	15	points	point	NOUN
ap-5173	259	16	{	{	PUNCT
ap-5173	259	17	xi}li=1	xi}li=1	PROPN
ap-5173	259	18	.	.	PUNCT
ap-5173	260	1	each	each	DET
ap-5173	260	2	element	element	NOUN
ap-5173	260	3	represents	represent	VERB
ap-5173	260	4	the	the	DET
ap-5173	260	5	inner	inner	ADJ
ap-5173	260	6	product	product	NOUN
ap-5173	260	7	of	of	ADP
ap-5173	260	8	the	the	DET
ap-5173	260	9	predictors	predictor	NOUN
ap-5173	260	10	transformed	transform	VERB
ap-5173	260	11	by	by	ADP
ap-5173	260	12	φ	φ	PROPN
ap-5173	260	13	.	.	PUNCT
ap-5173	261	1	however	however	ADV
ap-5173	261	2	,	,	PUNCT
ap-5173	261	3	it	it	PRON
ap-5173	261	4	is	be	AUX
ap-5173	261	5	not	not	PART
ap-5173	261	6	needed	need	VERB
ap-5173	261	7	to	to	PART
ap-5173	261	8	know	know	VERB
ap-5173	261	9	φ	φ	NUM
ap-5173	261	10	,	,	PUNCT
ap-5173	261	11	because	because	SCONJ
ap-5173	261	12	the	the	DET
ap-5173	261	13	kernel	kernel	PROPN
ap-5173	261	14	function	function	NOUN
ap-5173	261	15	can	can	AUX
ap-5173	261	16	generate	generate	VERB
ap-5173	261	17	the	the	DET
ap-5173	261	18	kernel	kernel	NOUN
ap-5173	261	19	matrix	matrix	NOUN
ap-5173	261	20	directly	directly	ADV
ap-5173	261	21	.	.	PUNCT
ap-5173	262	1	using	use	VERB
ap-5173	262	2	this	this	DET
ap-5173	262	3	approach	approach	NOUN
ap-5173	262	4	,	,	PUNCT
ap-5173	262	5	the	the	DET
ap-5173	262	6	non	non	ADJ
ap-5173	262	7	-	-	ADJ
ap-5173	262	8	linear	linear	ADJ
ap-5173	262	9	svr	svr	PROPN
ap-5173	262	10	finds	find	VERB
ap-5173	262	11	the	the	DET
ap-5173	262	12	optimal	optimal	ADJ
ap-5173	262	13	function	function	NOUN
ap-5173	262	14	f(x	f(x	PROPN
ap-5173	262	15	)	)	PUNCT
ap-5173	262	16	in	in	ADP
ap-5173	262	17	the	the	DET
ap-5173	262	18	transformed	transform	VERB
ap-5173	262	19	predictor	predictor	NOUN
ap-5173	262	20	space	space	NOUN
ap-5173	262	21	.	.	PUNCT
ap-5173	263	1	the	the	DET
ap-5173	263	2	prediction	prediction	NOUN
ap-5173	263	3	of	of	ADP
ap-5173	263	4	new	new	ADJ
ap-5173	263	5	values	value	NOUN
ap-5173	263	6	is	be	AUX
ap-5173	263	7	based	base	VERB
ap-5173	263	8	on	on	ADP
ap-5173	263	9	a	a	DET
ap-5173	263	10	function	function	NOUN
ap-5173	263	11	that	that	PRON
ap-5173	263	12	depends	depend	VERB
ap-5173	263	13	only	only	ADV
ap-5173	263	14	on	on	ADP
ap-5173	263	15	the	the	DET
ap-5173	263	16	support	support	NOUN
ap-5173	263	17	vectors	vector	NOUN
ap-5173	263	18	:	:	PUNCT
ap-5173	263	19	f(x	f(x	PROPN
ap-5173	263	20	)	)	PUNCT
ap-5173	264	1	=	=	VERB
ap-5173	265	1	l∑	l∑	NUM
ap-5173	265	2	i=1	i=1	PROPN
ap-5173	266	1	(	(	PUNCT
ap-5173	266	2	αi	αi	INTJ
ap-5173	266	3	−	−	PROPN
ap-5173	266	4	α∗i	α∗i	NUM
ap-5173	266	5	)	)	PUNCT
ap-5173	266	6	k(xi	k(xi	PROPN
ap-5173	266	7	,	,	PUNCT
ap-5173	266	8	x	x	X
ap-5173	266	9	)	)	PUNCT
ap-5173	267	1	+	+	NUM
ap-5173	267	2	b	b	X
ap-5173	267	3	(	(	PUNCT
ap-5173	267	4	16	16	NUM
ap-5173	267	5	)	)	PUNCT
ap-5173	267	6	where	where	SCONJ
ap-5173	267	7	α	α	NOUN
ap-5173	267	8	and	and	CCONJ
ap-5173	267	9	α∗	α∗	NOUN
ap-5173	267	10	are	be	AUX
ap-5173	267	11	non	non	ADJ
ap-5173	267	12	-	-	ADJ
ap-5173	267	13	negative	negative	ADJ
ap-5173	267	14	lagrange	lagrange	NOUN
ap-5173	267	15	multipliers	multiplier	NOUN
ap-5173	267	16	for	for	ADP
ap-5173	267	17	each	each	DET
ap-5173	267	18	observation	observation	NOUN
ap-5173	267	19	x.	x.	NOUN
ap-5173	267	20	a	a	DET
ap-5173	267	21	threshold	threshold	NOUN
ap-5173	267	22	b	b	NOUN
ap-5173	267	23	can	can	AUX
ap-5173	267	24	be	be	AUX
ap-5173	267	25	determined	determine	VERB
ap-5173	267	26	from	from	ADP
ap-5173	267	27	the	the	DET
ap-5173	267	28	lagrange	lagrange	NOUN
ap-5173	267	29	multipliers	multiplier	NOUN
ap-5173	267	30	.	.	PUNCT
ap-5173	268	1	lagrange	lagrange	NOUN
ap-5173	268	2	coefficients	coefficient	NOUN
ap-5173	268	3	can	can	AUX
ap-5173	268	4	be	be	AUX
ap-5173	268	5	found	find	VERB
ap-5173	268	6	by	by	ADP
ap-5173	268	7	minimization	minimization	NOUN
ap-5173	268	8	of	of	ADP
ap-5173	268	9	the	the	DET
ap-5173	268	10	following	follow	VERB
ap-5173	268	11	function	function	NOUN
ap-5173	268	12	[	[	X
ap-5173	268	13	39	39	NUM
ap-5173	268	14	]	]	PUNCT
ap-5173	268	15	:	:	PUNCT
ap-5173	268	16	l(α	l(α	X
ap-5173	268	17	)	)	PUNCT
ap-5173	269	1	=	=	SYM
ap-5173	269	2	1	1	NUM
ap-5173	269	3	2	2	NUM
ap-5173	269	4	l∑	l∑	X
ap-5173	270	1	i=1	i=1	PROPN
ap-5173	270	2	l∑	l∑	PUNCT
ap-5173	271	1	j=1	j=1	NOUN
ap-5173	271	2	(	(	PUNCT
ap-5173	271	3	αi	αi	ADV
ap-5173	271	4	−	−	PROPN
ap-5173	271	5	α∗i	α∗i	NUM
ap-5173	271	6	)	)	PUNCT
ap-5173	271	7	(	(	PUNCT
ap-5173	271	8	αj	αj	X
ap-5173	271	9	−	−	PROPN
ap-5173	271	10	α∗j	α∗j	NUM
ap-5173	271	11	)	)	PUNCT
ap-5173	271	12	k(xi	k(xi	PROPN
ap-5173	271	13	,	,	PUNCT
ap-5173	271	14	xj)+	xj)+	NOUN
ap-5173	271	15	ε	ε	PROPN
ap-5173	271	16	l∑	l∑	PROPN
ap-5173	271	17	i=1	i=1	PROPN
ap-5173	272	1	(	(	PUNCT
ap-5173	272	2	αi	αi	VERB
ap-5173	272	3	+	+	CCONJ
ap-5173	272	4	α∗i	α∗i	NUM
ap-5173	272	5	)	)	PUNCT
ap-5173	272	6	−	−	PROPN
ap-5173	272	7	l∑	l∑	PUNCT
ap-5173	272	8	i=1	i=1	PROPN
ap-5173	272	9	yi(α∗i	yi(α∗i	PROPN
ap-5173	272	10	−	−	PROPN
ap-5173	272	11	αi	αi	NOUN
ap-5173	272	12	)	)	PUNCT
ap-5173	272	13	(	(	PUNCT
ap-5173	272	14	17	17	NUM
ap-5173	272	15	)	)	PUNCT
ap-5173	272	16	328	328	NUM
ap-5173	272	17	vol	vol	NOUN
ap-5173	272	18	.	.	PUNCT
ap-5173	273	1	59	59	NUM
ap-5173	273	2	no	no	NOUN
ap-5173	273	3	.	.	PUNCT
ap-5173	274	1	4/2019	4/2019	NUM
ap-5173	274	2	a	a	DET
ap-5173	274	3	comparative	comparative	ADJ
ap-5173	274	4	study	study	NOUN
ap-5173	274	5	of	of	ADP
ap-5173	274	6	data	data	NOUN
ap-5173	274	7	-	-	PUNCT
ap-5173	274	8	driven	drive	VERB
ap-5173	274	9	modeling	modeling	NOUN
ap-5173	274	10	methods	method	NOUN
ap-5173	274	11	.	.	PUNCT
ap-5173	274	12	.	.	PUNCT
ap-5173	274	13	.	.	PUNCT
ap-5173	275	1	subject	subject	ADJ
ap-5173	275	2	to	to	ADP
ap-5173	275	3	the	the	DET
ap-5173	275	4	constraint	constraint	NOUN
ap-5173	275	5	l∑	l∑	PUNCT
ap-5173	276	1	i=1	i=1	PROPN
ap-5173	277	1	(	(	PUNCT
ap-5173	277	2	αi	αi	INTJ
ap-5173	277	3	−	−	NOUN
ap-5173	277	4	α∗i	α∗i	NUM
ap-5173	277	5	)	)	PUNCT
ap-5173	277	6	=	=	SYM
ap-5173	277	7	0	0	NUM
ap-5173	277	8	;	;	PUNCT
ap-5173	277	9	∀i	∀i	NOUN
ap-5173	277	10	:	:	PUNCT
ap-5173	277	11	0	0	NUM
ap-5173	277	12	≤	≤	NUM
ap-5173	277	13	αi	αi	VERB
ap-5173	277	14	≤	≤	NUM
ap-5173	277	15	c	c	NOUN
ap-5173	277	16	;	;	PUNCT
ap-5173	277	17	∀i	∀i	NOUN
ap-5173	277	18	:	:	PUNCT
ap-5173	277	19	0	0	NUM
ap-5173	277	20	≤	≤	NUM
ap-5173	277	21	α∗i	α∗i	NUM
ap-5173	277	22	≤	≤	NUM
ap-5173	277	23	c	c	X
ap-5173	277	24	(	(	PUNCT
ap-5173	277	25	18	18	NUM
ap-5173	277	26	)	)	PUNCT
ap-5173	277	27	the	the	DET
ap-5173	277	28	kkt	kkt	PROPN
ap-5173	277	29	complementarity	complementarity	NOUN
ap-5173	277	30	conditions	condition	NOUN
ap-5173	277	31	are	be	AUX
ap-5173	277	32	∀i	∀i	NOUN
ap-5173	277	33	:	:	PUNCT
ap-5173	277	34	αi(ε+	αi(ε+	PROPN
ap-5173	277	35	ξi	ξi	NOUN
ap-5173	277	36	−	−	NOUN
ap-5173	277	37	yi	yi	PROPN
ap-5173	277	38	+	+	CCONJ
ap-5173	277	39	f(xi	f(xi	NUM
ap-5173	277	40	)	)	PUNCT
ap-5173	277	41	)	)	PUNCT
ap-5173	278	1	=	=	SYM
ap-5173	278	2	0	0	NUM
ap-5173	278	3	∀i	∀i	NOUN
ap-5173	278	4	:	:	PUNCT
ap-5173	278	5	α∗i	α∗i	NUM
ap-5173	278	6	(	(	PUNCT
ap-5173	278	7	ε+	ε+	X
ap-5173	278	8	ξ∗i	ξ∗i	NUM
ap-5173	278	9	+	+	CCONJ
ap-5173	278	10	yi	yi	PROPN
ap-5173	278	11	−	−	NOUN
ap-5173	278	12	f(xi	f(xi	PROPN
ap-5173	278	13	)	)	PUNCT
ap-5173	278	14	)	)	PUNCT
ap-5173	279	1	=	=	SYM
ap-5173	279	2	0	0	NUM
ap-5173	279	3	∀i	∀i	NOUN
ap-5173	279	4	:	:	PUNCT
ap-5173	279	5	ξi(c−	ξi(c−	X
ap-5173	279	6	αi	αi	NOUN
ap-5173	279	7	)	)	PUNCT
ap-5173	279	8	=	=	SYM
ap-5173	279	9	0	0	NUM
ap-5173	279	10	∀i	∀i	NOUN
ap-5173	279	11	:	:	PUNCT
ap-5173	279	12	ξ∗i	ξ∗i	NUM
ap-5173	279	13	(	(	PUNCT
ap-5173	279	14	c−	c−	X
ap-5173	279	15	α∗i	α∗i	NUM
ap-5173	279	16	)	)	PUNCT
ap-5173	279	17	=	=	SYM
ap-5173	279	18	0	0	PUNCT
ap-5173	279	19	(	(	PUNCT
ap-5173	279	20	19	19	NUM
ap-5173	279	21	)	)	PUNCT
ap-5173	279	22	where	where	SCONJ
ap-5173	279	23	slack	slack	NOUN
ap-5173	279	24	variables	variable	VERB
ap-5173	279	25	ξ	ξ	PROPN
ap-5173	279	26	and	and	CCONJ
ap-5173	279	27	ξ∗	ξ∗	ADJ
ap-5173	279	28	for	for	ADP
ap-5173	279	29	each	each	DET
ap-5173	279	30	point	point	NOUN
ap-5173	279	31	ensure	ensure	VERB
ap-5173	279	32	that	that	SCONJ
ap-5173	279	33	regression	regression	NOUN
ap-5173	279	34	errors	error	NOUN
ap-5173	279	35	are	be	AUX
ap-5173	279	36	up	up	ADP
ap-5173	279	37	to	to	ADP
ap-5173	279	38	the	the	DET
ap-5173	279	39	value	value	NOUN
ap-5173	279	40	of	of	ADP
ap-5173	279	41	ξ	ξ	PROPN
ap-5173	279	42	and	and	CCONJ
ap-5173	279	43	ξ∗	ξ∗	PROPN
ap-5173	279	44	and	and	CCONJ
ap-5173	279	45	meet	meet	VERB
ap-5173	279	46	the	the	DET
ap-5173	279	47	desired	desire	VERB
ap-5173	279	48	conditions	condition	NOUN
ap-5173	279	49	.	.	PUNCT
ap-5173	280	1	kkt	kkt	PROPN
ap-5173	280	2	complementarity	complementarity	NOUN
ap-5173	280	3	conditions	condition	NOUN
ap-5173	280	4	are	be	AUX
ap-5173	280	5	optimization	optimization	NOUN
ap-5173	280	6	constraints	constraint	NOUN
ap-5173	280	7	required	require	VERB
ap-5173	280	8	to	to	PART
ap-5173	280	9	obtain	obtain	VERB
ap-5173	280	10	the	the	DET
ap-5173	280	11	optimum	optimum	NOUN
ap-5173	280	12	.	.	PUNCT
ap-5173	281	1	these	these	DET
ap-5173	281	2	conditions	condition	NOUN
ap-5173	281	3	indicate	indicate	VERB
ap-5173	281	4	that	that	SCONJ
ap-5173	281	5	all	all	DET
ap-5173	281	6	observations	observation	NOUN
ap-5173	281	7	strictly	strictly	ADV
ap-5173	281	8	inside	inside	ADP
ap-5173	281	9	the	the	DET
ap-5173	281	10	epsilon	epsilon	PROPN
ap-5173	281	11	tube	tube	NOUN
ap-5173	281	12	have	have	VERB
ap-5173	281	13	lagrange	lagrange	NOUN
ap-5173	281	14	multipliers	multiplier	NOUN
ap-5173	281	15	αi	αi	PART
ap-5173	281	16	=	=	SYM
ap-5173	281	17	0	0	NUM
ap-5173	281	18	and	and	CCONJ
ap-5173	281	19	α∗i	α∗i	NUM
ap-5173	281	20	=	=	SYM
ap-5173	281	21	0	0	X
ap-5173	281	22	.	.	PUNCT
ap-5173	281	23	observations	observation	NOUN
ap-5173	281	24	with	with	ADP
ap-5173	281	25	nonzero	nonzero	PROPN
ap-5173	281	26	lagrange	lagrange	PROPN
ap-5173	281	27	multipliers	multiplier	NOUN
ap-5173	281	28	are	be	AUX
ap-5173	281	29	called	call	VERB
ap-5173	281	30	support	support	NOUN
ap-5173	281	31	vectors	vector	NOUN
ap-5173	281	32	.	.	PUNCT
ap-5173	282	1	the	the	DET
ap-5173	282	2	constant	constant	ADJ
ap-5173	282	3	c	c	NOUN
ap-5173	282	4	is	be	AUX
ap-5173	282	5	the	the	DET
ap-5173	282	6	box	box	NOUN
ap-5173	282	7	constraint	constraint	NOUN
ap-5173	282	8	,	,	PUNCT
ap-5173	282	9	a	a	DET
ap-5173	282	10	positive	positive	ADJ
ap-5173	282	11	numeric	numeric	ADJ
ap-5173	282	12	value	value	NOUN
ap-5173	282	13	that	that	PRON
ap-5173	282	14	controls	control	VERB
ap-5173	282	15	the	the	DET
ap-5173	282	16	penalty	penalty	NOUN
ap-5173	282	17	imposed	impose	VERB
ap-5173	282	18	on	on	ADP
ap-5173	282	19	observations	observation	NOUN
ap-5173	282	20	that	that	PRON
ap-5173	282	21	lie	lie	VERB
ap-5173	282	22	outside	outside	ADP
ap-5173	282	23	the	the	DET
ap-5173	282	24	epsilon	epsilon	PROPN
ap-5173	282	25	margin	margin	NOUN
ap-5173	282	26	(	(	PUNCT
ap-5173	282	27	ε	ε	PROPN
ap-5173	282	28	)	)	PUNCT
ap-5173	282	29	and	and	CCONJ
ap-5173	282	30	helps	help	VERB
ap-5173	282	31	to	to	PART
ap-5173	282	32	prevent	prevent	VERB
ap-5173	282	33	overfitting	overfitte	VERB
ap-5173	282	34	,	,	PUNCT
ap-5173	282	35	i.e.	i.e.	X
ap-5173	282	36	,	,	PUNCT
ap-5173	282	37	regularization	regularization	NOUN
ap-5173	282	38	[	[	X
ap-5173	282	39	40	40	NUM
ap-5173	282	40	]	]	PUNCT
ap-5173	282	41	.	.	PUNCT
ap-5173	283	1	the	the	DET
ap-5173	283	2	minimization	minimization	NOUN
ap-5173	283	3	problem	problem	NOUN
ap-5173	283	4	can	can	AUX
ap-5173	283	5	be	be	AUX
ap-5173	283	6	solved	solve	VERB
ap-5173	283	7	by	by	ADP
ap-5173	283	8	common	common	ADJ
ap-5173	283	9	quadratic	quadratic	ADJ
ap-5173	283	10	programming	programming	NOUN
ap-5173	283	11	techniques	technique	NOUN
ap-5173	283	12	,	,	PUNCT
ap-5173	283	13	e.g.	e.g.	ADV
ap-5173	283	14	,	,	PUNCT
ap-5173	283	15	the	the	DET
ap-5173	283	16	chunking	chunking	NOUN
ap-5173	283	17	and	and	CCONJ
ap-5173	283	18	working	work	VERB
ap-5173	283	19	set	set	NOUN
ap-5173	283	20	method	method	NOUN
ap-5173	283	21	,	,	PUNCT
ap-5173	283	22	sequential	sequential	ADJ
ap-5173	283	23	minimal	minimal	ADJ
ap-5173	283	24	optimization(smo	optimization(smo	NOUN
ap-5173	283	25	)	)	PUNCT
ap-5173	283	26	,	,	PUNCT
ap-5173	283	27	or	or	CCONJ
ap-5173	283	28	iterative	iterative	VERB
ap-5173	283	29	single	single	ADJ
ap-5173	283	30	data	datum	NOUN
ap-5173	283	31	algorithm	algorithm	NOUN
ap-5173	283	32	(	(	PUNCT
ap-5173	283	33	isda	isda	PROPN
ap-5173	283	34	)	)	PUNCT
ap-5173	283	35	.	.	PUNCT
ap-5173	284	1	for	for	ADP
ap-5173	284	2	the	the	DET
ap-5173	284	3	modeling	modeling	NOUN
ap-5173	284	4	of	of	ADP
ap-5173	284	5	the	the	DET
ap-5173	284	6	ucg	ucg	PROPN
ap-5173	284	7	process	process	NOUN
ap-5173	284	8	,	,	PUNCT
ap-5173	284	9	the	the	DET
ap-5173	284	10	epsiloninsensitive	epsiloninsensitive	ADJ
ap-5173	284	11	svm	svm	NOUN
ap-5173	284	12	(	(	PUNCT
ap-5173	284	13	ε	ε	NOUN
ap-5173	284	14	-	-	PUNCT
ap-5173	284	15	svm	svm	NOUN
ap-5173	284	16	)	)	PUNCT
ap-5173	284	17	regression	regression	NOUN
ap-5173	284	18	has	have	AUX
ap-5173	284	19	been	be	AUX
ap-5173	284	20	used	use	VERB
ap-5173	284	21	.	.	PUNCT
ap-5173	285	1	to	to	PART
ap-5173	285	2	solve	solve	VERB
ap-5173	285	3	the	the	DET
ap-5173	285	4	optimization	optimization	NOUN
ap-5173	285	5	problem	problem	NOUN
ap-5173	285	6	,	,	PUNCT
ap-5173	285	7	the	the	DET
ap-5173	285	8	algorithm	algorithm	NOUN
ap-5173	285	9	of	of	ADP
ap-5173	285	10	smo	smo	PROPN
ap-5173	285	11	has	have	AUX
ap-5173	285	12	been	be	AUX
ap-5173	285	13	used	use	VERB
ap-5173	285	14	.	.	PUNCT
ap-5173	286	1	3	3	X
ap-5173	286	2	.	.	X
ap-5173	286	3	experimental	experimental	ADJ
ap-5173	286	4	ucg	ucg	PROPN
ap-5173	286	5	in	in	ADP
ap-5173	286	6	ex	ex	ADJ
ap-5173	286	7	-	-	ADJ
ap-5173	286	8	situ	situ	ADJ
ap-5173	286	9	reactor	reactor	NOUN
ap-5173	286	10	for	for	ADP
ap-5173	286	11	the	the	DET
ap-5173	286	12	purpose	purpose	NOUN
ap-5173	286	13	of	of	ADP
ap-5173	286	14	verifying	verify	VERB
ap-5173	286	15	the	the	DET
ap-5173	286	16	ucg	ucg	NOUN
ap-5173	286	17	,	,	PUNCT
ap-5173	286	18	laboratory	laboratory	NOUN
ap-5173	286	19	equipment	equipment	NOUN
ap-5173	286	20	has	have	AUX
ap-5173	286	21	been	be	AUX
ap-5173	286	22	created	create	VERB
ap-5173	286	23	.	.	PUNCT
ap-5173	287	1	the	the	DET
ap-5173	287	2	base	base	NOUN
ap-5173	287	3	is	be	AUX
ap-5173	287	4	an	an	DET
ap-5173	287	5	experimental	experimental	ADJ
ap-5173	287	6	coal	coal	NOUN
ap-5173	287	7	gasifier	gasifier	NOUN
ap-5173	287	8	,	,	PUNCT
ap-5173	287	9	i.e.	i.e.	X
ap-5173	287	10	,	,	PUNCT
ap-5173	287	11	an	an	DET
ap-5173	287	12	ex	ex	ADJ
ap-5173	287	13	-	-	ADJ
ap-5173	287	14	situ	situ	ADJ
ap-5173	287	15	reactor	reactor	NOUN
ap-5173	287	16	or	or	CCONJ
ap-5173	287	17	so	so	ADV
ap-5173	287	18	-	-	PUNCT
ap-5173	287	19	called	call	VERB
ap-5173	287	20	syngas	syngas	NOUN
ap-5173	287	21	generator	generator	NOUN
ap-5173	287	22	(	(	PUNCT
ap-5173	287	23	see	see	VERB
ap-5173	287	24	figure	figure	NOUN
ap-5173	287	25	2	2	NUM
ap-5173	287	26	)	)	PUNCT
ap-5173	287	27	and	and	CCONJ
ap-5173	287	28	a	a	DET
ap-5173	287	29	set	set	NOUN
ap-5173	287	30	of	of	ADP
ap-5173	287	31	devices	device	NOUN
ap-5173	287	32	for	for	ADP
ap-5173	287	33	measurement	measurement	NOUN
ap-5173	287	34	and	and	CCONJ
ap-5173	287	35	control	control	NOUN
ap-5173	287	36	.	.	PUNCT
ap-5173	288	1	the	the	DET
ap-5173	288	2	ex	ex	ADJ
ap-5173	288	3	-	-	ADJ
ap-5173	288	4	situ	situ	ADJ
ap-5173	288	5	reactor	reactor	NOUN
ap-5173	288	6	was	be	AUX
ap-5173	288	7	constructed	construct	VERB
ap-5173	288	8	so	so	SCONJ
ap-5173	288	9	that	that	SCONJ
ap-5173	288	10	the	the	DET
ap-5173	288	11	bedding	bedding	NOUN
ap-5173	288	12	of	of	ADP
ap-5173	288	13	coal	coal	NOUN
ap-5173	288	14	with	with	ADP
ap-5173	288	15	overburden	overburden	ADJ
ap-5173	288	16	and	and	CCONJ
ap-5173	288	17	under	under	NOUN
ap-5173	288	18	-	-	PUNCT
ap-5173	288	19	burden	burden	NOUN
ap-5173	288	20	layers	layer	NOUN
ap-5173	288	21	can	can	AUX
ap-5173	288	22	simulate	simulate	VERB
ap-5173	288	23	the	the	DET
ap-5173	288	24	real	real	ADJ
ap-5173	288	25	coal	coal	NOUN
ap-5173	288	26	seam	seam	NOUN
ap-5173	288	27	.	.	PUNCT
ap-5173	289	1	several	several	ADJ
ap-5173	289	2	experiments	experiment	NOUN
ap-5173	289	3	as	as	ADP
ap-5173	289	4	trials	trial	NOUN
ap-5173	289	5	of	of	ADP
ap-5173	289	6	a	a	DET
ap-5173	289	7	real	real	ADJ
ap-5173	289	8	ucg	ucg	NOUN
ap-5173	289	9	were	be	AUX
ap-5173	289	10	performed	perform	VERB
ap-5173	289	11	with	with	ADP
ap-5173	289	12	the	the	DET
ap-5173	289	13	ex	ex	ADJ
ap-5173	289	14	-	-	ADJ
ap-5173	289	15	situ	situ	ADJ
ap-5173	289	16	reactor	reactor	NOUN
ap-5173	289	17	.	.	PUNCT
ap-5173	290	1	this	this	DET
ap-5173	290	2	laboratory	laboratory	NOUN
ap-5173	290	3	gasification	gasification	NOUN
ap-5173	290	4	equipment	equipment	NOUN
ap-5173	290	5	was	be	AUX
ap-5173	290	6	well	well	ADV
ap-5173	290	7	described	describe	VERB
ap-5173	290	8	in	in	ADP
ap-5173	290	9	[	[	X
ap-5173	290	10	41	41	NUM
ap-5173	290	11	,	,	PUNCT
ap-5173	290	12	42	42	NUM
ap-5173	290	13	]	]	PUNCT
ap-5173	290	14	.	.	PUNCT
ap-5173	291	1	similar	similar	ADJ
ap-5173	291	2	trials	trial	NOUN
ap-5173	291	3	of	of	ADP
ap-5173	291	4	the	the	DET
ap-5173	291	5	ucg	ucg	NOUN
ap-5173	291	6	on	on	ADP
ap-5173	291	7	a	a	DET
ap-5173	291	8	laboratory	laboratory	NOUN
ap-5173	291	9	ex	ex	NOUN
ap-5173	291	10	-	-	ADJ
ap-5173	291	11	situ	situ	ADJ
ap-5173	291	12	reactor	reactor	NOUN
ap-5173	291	13	can	can	AUX
ap-5173	291	14	be	be	AUX
ap-5173	291	15	found	find	VERB
ap-5173	291	16	in	in	ADP
ap-5173	291	17	[	[	X
ap-5173	291	18	43	43	NUM
ap-5173	291	19	,	,	PUNCT
ap-5173	291	20	44	44	NUM
ap-5173	291	21	]	]	PUNCT
ap-5173	291	22	.	.	PUNCT
ap-5173	292	1	various	various	ADJ
ap-5173	292	2	gasification	gasification	NOUN
ap-5173	292	3	agents	agent	NOUN
ap-5173	292	4	(	(	PUNCT
ap-5173	292	5	i.e.	i.e.	X
ap-5173	292	6	,	,	PUNCT
ap-5173	292	7	oxidizers	oxidizer	NOUN
ap-5173	292	8	)	)	PUNCT
ap-5173	292	9	,	,	PUNCT
ap-5173	292	10	ways	way	NOUN
ap-5173	292	11	of	of	ADP
ap-5173	292	12	bedding	bed	VERB
ap-5173	292	13	coal	coal	NOUN
ap-5173	292	14	and	and	CCONJ
ap-5173	292	15	monitoring	monitoring	NOUN
ap-5173	292	16	of	of	ADP
ap-5173	292	17	the	the	DET
ap-5173	292	18	ucg	ucg	PROPN
ap-5173	292	19	process	process	NOUN
ap-5173	292	20	were	be	AUX
ap-5173	292	21	tested	test	VERB
ap-5173	292	22	there	there	ADV
ap-5173	292	23	.	.	PUNCT
ap-5173	293	1	the	the	DET
ap-5173	293	2	gasification	gasification	NOUN
ap-5173	293	3	in	in	ADP
ap-5173	293	4	the	the	DET
ap-5173	293	5	ex	ex	ADJ
ap-5173	293	6	-	-	ADJ
ap-5173	293	7	situ	situ	ADJ
ap-5173	293	8	reactor	reactor	NOUN
ap-5173	293	9	is	be	AUX
ap-5173	293	10	based	base	VERB
ap-5173	293	11	on	on	ADP
ap-5173	293	12	the	the	DET
ap-5173	293	13	control	control	NOUN
ap-5173	293	14	of	of	ADP
ap-5173	293	15	the	the	DET
ap-5173	293	16	flow	flow	NOUN
ap-5173	293	17	of	of	ADP
ap-5173	293	18	the	the	DET
ap-5173	293	19	inlet	inlet	ADJ
ap-5173	293	20	gasification	gasification	NOUN
ap-5173	293	21	agents	agent	NOUN
ap-5173	293	22	(	(	PUNCT
ap-5173	293	23	i.e.	i.e.	X
ap-5173	293	24	,	,	PUNCT
ap-5173	293	25	air	air	NOUN
ap-5173	293	26	and	and	CCONJ
ap-5173	293	27	oxygen	oxygen	NOUN
ap-5173	293	28	)	)	PUNCT
ap-5173	293	29	and	and	CCONJ
ap-5173	293	30	pressure	pressure	NOUN
ap-5173	293	31	on	on	ADP
ap-5173	293	32	an	an	DET
ap-5173	293	33	outlet	outlet	NOUN
ap-5173	293	34	.	.	PUNCT
ap-5173	294	1	lignite	lignite	ADJ
ap-5173	294	2	coal	coal	NOUN
ap-5173	294	3	from	from	ADP
ap-5173	294	4	the	the	DET
ap-5173	294	5	slovak	slovak	ADJ
ap-5173	294	6	mine	mine	NOUN
ap-5173	294	7	that	that	PRON
ap-5173	294	8	is	be	AUX
ap-5173	294	9	suitable	suitable	ADJ
ap-5173	294	10	for	for	SCONJ
ap-5173	294	11	the	the	DET
ap-5173	294	12	ucg	ucg	NOUN
ap-5173	294	13	was	be	AUX
ap-5173	294	14	gasified	gasify	VERB
ap-5173	294	15	.	.	PUNCT
ap-5173	295	1	the	the	DET
ap-5173	295	2	composition	composition	NOUN
ap-5173	295	3	of	of	ADP
ap-5173	295	4	the	the	DET
ap-5173	295	5	coal	coal	NOUN
ap-5173	295	6	that	that	PRON
ap-5173	295	7	was	be	AUX
ap-5173	295	8	figure	figure	NOUN
ap-5173	295	9	2	2	NUM
ap-5173	295	10	.	.	PUNCT
ap-5173	295	11	experimental	experimental	ADJ
ap-5173	295	12	coal	coal	NOUN
ap-5173	295	13	gasifier	gasifier	NOUN
ap-5173	295	14	(	(	PUNCT
ap-5173	295	15	ex	ex	NOUN
ap-5173	295	16	-	-	ADJ
ap-5173	295	17	situ	situ	ADJ
ap-5173	295	18	reactor	reactor	NOUN
ap-5173	295	19	)	)	PUNCT
ap-5173	295	20	.	.	PUNCT
ap-5173	296	1	gasified	gasify	VERB
ap-5173	296	2	and	and	CCONJ
ap-5173	296	3	factors	factor	NOUN
ap-5173	296	4	that	that	PRON
ap-5173	296	5	affect	affect	VERB
ap-5173	296	6	the	the	DET
ap-5173	296	7	ucg	ucg	NOUN
ap-5173	296	8	can	can	AUX
ap-5173	296	9	be	be	AUX
ap-5173	296	10	found	find	VERB
ap-5173	296	11	in	in	ADP
ap-5173	296	12	[	[	X
ap-5173	296	13	41	41	NUM
ap-5173	296	14	]	]	PUNCT
ap-5173	296	15	.	.	PUNCT
ap-5173	297	1	the	the	DET
ap-5173	297	2	influence	influence	NOUN
ap-5173	297	3	of	of	ADP
ap-5173	297	4	various	various	ADJ
ap-5173	297	5	gasification	gasification	NOUN
ap-5173	297	6	agents	agent	NOUN
ap-5173	297	7	(	(	PUNCT
ap-5173	297	8	i.e.	i.e.	X
ap-5173	297	9	,	,	PUNCT
ap-5173	297	10	its	its	PRON
ap-5173	297	11	flows	flow	NOUN
ap-5173	297	12	and	and	CCONJ
ap-5173	297	13	pressures	pressure	NOUN
ap-5173	297	14	)	)	PUNCT
ap-5173	297	15	on	on	ADP
ap-5173	297	16	the	the	DET
ap-5173	297	17	syngas	syngas	NOUN
ap-5173	297	18	quality	quality	NOUN
ap-5173	297	19	was	be	AUX
ap-5173	297	20	discussed	discuss	VERB
ap-5173	297	21	in	in	ADP
ap-5173	297	22	[	[	X
ap-5173	297	23	2	2	NUM
ap-5173	297	24	]	]	PUNCT
ap-5173	297	25	.	.	PUNCT
ap-5173	298	1	the	the	DET
ap-5173	298	2	bedding	bedding	NOUN
ap-5173	298	3	of	of	ADP
ap-5173	298	4	coal	coal	NOUN
ap-5173	298	5	in	in	ADP
ap-5173	298	6	the	the	DET
ap-5173	298	7	ex	ex	ADJ
ap-5173	298	8	-	-	ADJ
ap-5173	298	9	situ	situ	ADJ
ap-5173	298	10	reactor	reactor	NOUN
ap-5173	298	11	was	be	AUX
ap-5173	298	12	made	make	VERB
ap-5173	298	13	on	on	ADP
ap-5173	298	14	the	the	DET
ap-5173	298	15	basis	basis	NOUN
ap-5173	298	16	by	by	ADP
ap-5173	298	17	the	the	DET
ap-5173	298	18	rules	rule	NOUN
ap-5173	298	19	of	of	ADP
ap-5173	298	20	the	the	DET
ap-5173	298	21	similarity	similarity	NOUN
ap-5173	298	22	theory	theory	NOUN
ap-5173	298	23	.	.	PUNCT
ap-5173	299	1	the	the	DET
ap-5173	299	2	goal	goal	NOUN
ap-5173	299	3	was	be	AUX
ap-5173	299	4	to	to	PART
ap-5173	299	5	obtain	obtain	VERB
ap-5173	299	6	the	the	DET
ap-5173	299	7	similarity	similarity	NOUN
ap-5173	299	8	with	with	ADP
ap-5173	299	9	the	the	DET
ap-5173	299	10	real	real	ADJ
ap-5173	299	11	coal	coal	NOUN
ap-5173	299	12	seam	seam	NOUN
ap-5173	299	13	.	.	PUNCT
ap-5173	300	1	blocks	block	NOUN
ap-5173	300	2	of	of	ADP
ap-5173	300	3	coal	coal	NOUN
ap-5173	300	4	merged	merge	VERB
ap-5173	300	5	into	into	ADP
ap-5173	300	6	one	one	NUM
ap-5173	300	7	coal	coal	NOUN
ap-5173	300	8	unit	unit	NOUN
ap-5173	300	9	were	be	AUX
ap-5173	300	10	used	use	VERB
ap-5173	300	11	when	when	SCONJ
ap-5173	300	12	preparing	prepare	VERB
ap-5173	300	13	a	a	DET
ap-5173	300	14	physical	physical	ADJ
ap-5173	300	15	model	model	NOUN
ap-5173	300	16	of	of	ADP
ap-5173	300	17	the	the	DET
ap-5173	300	18	coalbed	coalbed	NOUN
ap-5173	300	19	.	.	PUNCT
ap-5173	301	1	in	in	ADP
ap-5173	301	2	order	order	NOUN
ap-5173	301	3	to	to	PART
ap-5173	301	4	make	make	VERB
ap-5173	301	5	the	the	DET
ap-5173	301	6	physical	physical	ADJ
ap-5173	301	7	model	model	NOUN
ap-5173	301	8	airtight	airtight	NOUN
ap-5173	301	9	,	,	PUNCT
ap-5173	301	10	layers	layer	NOUN
ap-5173	301	11	of	of	ADP
ap-5173	301	12	over	over	ADP
ap-5173	301	13	-	-	PUNCT
ap-5173	301	14	burden	burden	NOUN
ap-5173	301	15	and	and	CCONJ
ap-5173	301	16	under	under	NOUN
ap-5173	301	17	-	-	PUNCT
ap-5173	301	18	burden	burden	NOUN
ap-5173	301	19	contained	contain	VERB
ap-5173	301	20	sand	sand	NOUN
ap-5173	301	21	mixed	mix	VERB
ap-5173	301	22	with	with	ADP
ap-5173	301	23	water	water	NOUN
ap-5173	301	24	glass	glass	NOUN
ap-5173	301	25	.	.	PUNCT
ap-5173	302	1	in	in	ADP
ap-5173	302	2	addition	addition	NOUN
ap-5173	302	3	,	,	PUNCT
ap-5173	302	4	the	the	DET
ap-5173	302	5	reactor	reactor	NOUN
ap-5173	302	6	was	be	AUX
ap-5173	302	7	tilted	tilt	VERB
ap-5173	302	8	at	at	ADP
ap-5173	302	9	10	10	NUM
ap-5173	302	10	◦	◦	NOUN
ap-5173	302	11	,	,	PUNCT
ap-5173	302	12	in	in	ADP
ap-5173	302	13	order	order	NOUN
ap-5173	302	14	to	to	PART
ap-5173	302	15	get	get	VERB
ap-5173	302	16	as	as	ADV
ap-5173	302	17	close	close	ADJ
ap-5173	302	18	as	as	ADP
ap-5173	302	19	possible	possible	ADJ
ap-5173	302	20	to	to	ADP
ap-5173	302	21	the	the	DET
ap-5173	302	22	real	real	ADJ
ap-5173	302	23	coal	coal	NOUN
ap-5173	302	24	seam	seam	NOUN
ap-5173	302	25	.	.	PUNCT
ap-5173	303	1	the	the	DET
ap-5173	303	2	coal	coal	NOUN
ap-5173	303	3	used	use	VERB
ap-5173	303	4	in	in	ADP
ap-5173	303	5	the	the	DET
ap-5173	303	6	experiment	experiment	NOUN
ap-5173	303	7	was	be	AUX
ap-5173	303	8	extracted	extract	VERB
ap-5173	303	9	from	from	ADP
ap-5173	303	10	the	the	DET
ap-5173	303	11	underground	underground	NOUN
ap-5173	303	12	coalbed	coalbe	VERB
ap-5173	303	13	with	with	ADP
ap-5173	303	14	the	the	DET
ap-5173	303	15	same	same	ADJ
ap-5173	303	16	inclination	inclination	NOUN
ap-5173	303	17	.	.	PUNCT
ap-5173	304	1	this	this	DET
ap-5173	304	2	coalbed	coalbe	VERB
ap-5173	304	3	(	(	PUNCT
ap-5173	304	4	i.e.	i.e.	X
ap-5173	304	5	,	,	PUNCT
ap-5173	304	6	in	in	ADP
ap-5173	304	7	mine	mine	ADJ
ap-5173	304	8	cigel	cigel	NOUN
ap-5173	304	9	slovakia	slovakia	PROPN
ap-5173	304	10	,	,	PUNCT
ap-5173	304	11	overburden	overburden	VERB
ap-5173	304	12	bed	bed	NOUN
ap-5173	304	13	)	)	PUNCT
ap-5173	304	14	has	have	VERB
ap-5173	304	15	the	the	DET
ap-5173	304	16	potential	potential	NOUN
ap-5173	304	17	to	to	PART
ap-5173	304	18	be	be	AUX
ap-5173	304	19	mined	mine	VERB
ap-5173	304	20	in	in	ADP
ap-5173	304	21	the	the	DET
ap-5173	304	22	future	future	NOUN
ap-5173	304	23	by	by	ADP
ap-5173	304	24	the	the	DET
ap-5173	304	25	ucg	ucg	PROPN
ap-5173	304	26	.	.	PROPN
ap-5173	304	27	air	air	PROPN
ap-5173	304	28	,	,	PUNCT
ap-5173	304	29	as	as	ADP
ap-5173	304	30	the	the	DET
ap-5173	304	31	primary	primary	ADJ
ap-5173	304	32	oxidant	oxidant	NOUN
ap-5173	304	33	,	,	PUNCT
ap-5173	304	34	was	be	AUX
ap-5173	304	35	blown	blow	VERB
ap-5173	304	36	into	into	ADP
ap-5173	304	37	the	the	DET
ap-5173	304	38	pressure	pressure	NOUN
ap-5173	304	39	vessel	vessel	NOUN
ap-5173	304	40	by	by	ADP
ap-5173	304	41	two	two	NUM
ap-5173	304	42	compressors	compressor	NOUN
ap-5173	304	43	.	.	PUNCT
ap-5173	305	1	the	the	DET
ap-5173	305	2	pressure	pressure	NOUN
ap-5173	305	3	of	of	ADP
ap-5173	305	4	air	air	NOUN
ap-5173	305	5	injected	inject	VERB
ap-5173	305	6	into	into	ADP
ap-5173	305	7	the	the	DET
ap-5173	305	8	ex	ex	ADJ
ap-5173	305	9	-	-	ADJ
ap-5173	305	10	situ	situ	ADJ
ap-5173	305	11	reactor	reactor	NOUN
ap-5173	305	12	was	be	AUX
ap-5173	305	13	adjusted	adjust	VERB
ap-5173	305	14	by	by	ADP
ap-5173	305	15	a	a	DET
ap-5173	305	16	reducing	reduce	VERB
ap-5173	305	17	valve	valve	NOUN
ap-5173	305	18	.	.	PUNCT
ap-5173	306	1	the	the	DET
ap-5173	306	2	air	air	NOUN
ap-5173	306	3	flow	flow	NOUN
ap-5173	306	4	was	be	AUX
ap-5173	306	5	controlled	control	VERB
ap-5173	306	6	by	by	ADP
ap-5173	306	7	the	the	DET
ap-5173	306	8	servo	servo	NOUN
ap-5173	306	9	valve	valve	NOUN
ap-5173	306	10	and	and	CCONJ
ap-5173	306	11	measured	measure	VERB
ap-5173	306	12	by	by	ADP
ap-5173	306	13	a	a	DET
ap-5173	306	14	differential	differential	ADJ
ap-5173	306	15	pressure	pressure	NOUN
ap-5173	306	16	sensor	sensor	NOUN
ap-5173	306	17	with	with	ADP
ap-5173	306	18	a	a	DET
ap-5173	306	19	centric	centric	ADJ
ap-5173	306	20	orifice	orifice	NOUN
ap-5173	306	21	that	that	PRON
ap-5173	306	22	was	be	AUX
ap-5173	306	23	installed	instal	VERB
ap-5173	306	24	in	in	ADP
ap-5173	306	25	a	a	DET
ap-5173	306	26	pipeline	pipeline	NOUN
ap-5173	306	27	.	.	PUNCT
ap-5173	307	1	similarly	similarly	ADV
ap-5173	307	2	,	,	PUNCT
ap-5173	307	3	the	the	DET
ap-5173	307	4	flow	flow	NOUN
ap-5173	307	5	of	of	ADP
ap-5173	307	6	the	the	DET
ap-5173	307	7	produced	produce	VERB
ap-5173	307	8	syngas	syngas	NOUN
ap-5173	307	9	was	be	AUX
ap-5173	307	10	measured	measure	VERB
ap-5173	307	11	,	,	PUNCT
ap-5173	307	12	but	but	CCONJ
ap-5173	307	13	the	the	DET
ap-5173	307	14	segment	segment	NOUN
ap-5173	307	15	orifice	orifice	NOUN
ap-5173	307	16	was	be	AUX
ap-5173	307	17	used	use	VERB
ap-5173	307	18	.	.	PUNCT
ap-5173	308	1	the	the	DET
ap-5173	308	2	oxygen	oxygen	NOUN
ap-5173	308	3	flow	flow	NOUN
ap-5173	308	4	and	and	CCONJ
ap-5173	308	5	pressure	pressure	NOUN
ap-5173	308	6	were	be	AUX
ap-5173	308	7	controlled	control	VERB
ap-5173	308	8	by	by	ADP
ap-5173	308	9	two	two	NUM
ap-5173	308	10	reducing	reduce	VERB
ap-5173	308	11	valves	valve	NOUN
ap-5173	308	12	.	.	PUNCT
ap-5173	309	1	as	as	ADP
ap-5173	309	2	a	a	DET
ap-5173	309	3	source	source	NOUN
ap-5173	309	4	of	of	ADP
ap-5173	309	5	the	the	DET
ap-5173	309	6	technical	technical	ADJ
ap-5173	309	7	oxygen	oxygen	NOUN
ap-5173	309	8	,	,	PUNCT
ap-5173	309	9	pressure	pressure	NOUN
ap-5173	309	10	cylinders	cylinder	NOUN
ap-5173	309	11	were	be	AUX
ap-5173	309	12	used	use	VERB
ap-5173	309	13	.	.	PUNCT
ap-5173	310	1	technical	technical	ADJ
ap-5173	310	2	oxygen	oxygen	NOUN
ap-5173	310	3	was	be	AUX
ap-5173	310	4	injected	inject	VERB
ap-5173	310	5	as	as	ADP
ap-5173	310	6	an	an	DET
ap-5173	310	7	auxiliary	auxiliary	ADJ
ap-5173	310	8	oxidant	oxidant	NOUN
ap-5173	310	9	into	into	ADP
ap-5173	310	10	the	the	DET
ap-5173	310	11	mixing	mix	VERB
ap-5173	310	12	chamber	chamber	NOUN
ap-5173	310	13	where	where	SCONJ
ap-5173	310	14	it	it	PRON
ap-5173	310	15	was	be	AUX
ap-5173	310	16	mixed	mix	VERB
ap-5173	310	17	with	with	ADP
ap-5173	310	18	air	air	NOUN
ap-5173	310	19	,	,	PUNCT
ap-5173	310	20	and	and	CCONJ
ap-5173	310	21	the	the	DET
ap-5173	310	22	mixture	mixture	NOUN
ap-5173	310	23	was	be	AUX
ap-5173	310	24	then	then	ADV
ap-5173	310	25	injected	inject	VERB
ap-5173	310	26	into	into	ADP
ap-5173	310	27	the	the	DET
ap-5173	310	28	ex	ex	ADJ
ap-5173	310	29	-	-	ADJ
ap-5173	310	30	situ	situ	ADJ
ap-5173	310	31	reactor	reactor	NOUN
ap-5173	310	32	.	.	PUNCT
ap-5173	311	1	the	the	DET
ap-5173	311	2	pressures	pressure	NOUN
ap-5173	311	3	of	of	ADP
ap-5173	311	4	the	the	DET
ap-5173	311	5	oxidants	oxidant	NOUN
ap-5173	311	6	were	be	AUX
ap-5173	311	7	measured	measure	VERB
ap-5173	311	8	by	by	ADP
ap-5173	311	9	a	a	DET
ap-5173	311	10	set	set	NOUN
ap-5173	311	11	of	of	ADP
ap-5173	311	12	pressure	pressure	NOUN
ap-5173	311	13	transducers	transducer	NOUN
ap-5173	311	14	.	.	PUNCT
ap-5173	312	1	the	the	DET
ap-5173	312	2	k	k	ADJ
ap-5173	312	3	-	-	PUNCT
ap-5173	312	4	type	type	NOUN
ap-5173	312	5	thermocouples	thermocouple	NOUN
ap-5173	312	6	were	be	AUX
ap-5173	312	7	used	use	VERB
ap-5173	312	8	to	to	PART
ap-5173	312	9	measure	measure	VERB
ap-5173	312	10	the	the	DET
ap-5173	312	11	temperatures	temperature	NOUN
ap-5173	312	12	in	in	ADP
ap-5173	312	13	the	the	DET
ap-5173	312	14	coal	coal	NOUN
ap-5173	312	15	model	model	NOUN
ap-5173	312	16	.	.	PUNCT
ap-5173	313	1	these	these	DET
ap-5173	313	2	329	329	NUM
ap-5173	313	3	j.	j.	PROPN
ap-5173	313	4	kačur	kačur	PROPN
ap-5173	313	5	,	,	PUNCT
ap-5173	313	6	m.	m.	PROPN
ap-5173	313	7	durdán	durdán	PROPN
ap-5173	313	8	,	,	PUNCT
ap-5173	313	9	m.	m.	NOUN
ap-5173	313	10	laciak	laciak	NOUN
ap-5173	313	11	,	,	PUNCT
ap-5173	313	12	p.	p.	PROPN
ap-5173	313	13	flegner	flegner	PROPN
ap-5173	313	14	acta	acta	PROPN
ap-5173	313	15	polytechnica	polytechnica	PROPN
ap-5173	313	16	thermocouples	thermocouple	NOUN
ap-5173	313	17	allow	allow	VERB
ap-5173	313	18	to	to	PART
ap-5173	313	19	measure	measure	VERB
ap-5173	313	20	the	the	DET
ap-5173	313	21	temperature	temperature	NOUN
ap-5173	313	22	up	up	ADP
ap-5173	313	23	to	to	PART
ap-5173	313	24	1300	1300	NUM
ap-5173	313	25	◦	◦	NOUN
ap-5173	313	26	c.	c.	NOUN
ap-5173	313	27	thermocouples	thermocouple	NOUN
ap-5173	313	28	were	be	AUX
ap-5173	313	29	placed	place	VERB
ap-5173	313	30	in	in	ADP
ap-5173	313	31	ceramic	ceramic	ADJ
ap-5173	313	32	tubes	tube	NOUN
ap-5173	313	33	(	(	PUNCT
ap-5173	313	34	for	for	ADP
ap-5173	313	35	protection	protection	NOUN
ap-5173	313	36	in	in	ADP
ap-5173	313	37	an	an	DET
ap-5173	313	38	oxidation	oxidation	NOUN
ap-5173	313	39	-	-	PUNCT
ap-5173	313	40	reducing	reduce	VERB
ap-5173	313	41	atmosphere	atmosphere	NOUN
ap-5173	313	42	)	)	PUNCT
ap-5173	313	43	and	and	CCONJ
ap-5173	313	44	then	then	ADV
ap-5173	313	45	inserted	insert	VERB
ap-5173	313	46	into	into	ADP
ap-5173	313	47	holes	hole	NOUN
ap-5173	313	48	drilled	drill	VERB
ap-5173	313	49	in	in	ADP
ap-5173	313	50	the	the	DET
ap-5173	313	51	physical	physical	ADJ
ap-5173	313	52	model	model	NOUN
ap-5173	313	53	.	.	PUNCT
ap-5173	314	1	the	the	DET
ap-5173	314	2	temperature	temperature	NOUN
ap-5173	314	3	of	of	ADP
ap-5173	314	4	the	the	DET
ap-5173	314	5	coal	coal	NOUN
ap-5173	314	6	along	along	ADP
ap-5173	314	7	the	the	DET
ap-5173	314	8	gasification	gasification	NOUN
ap-5173	314	9	channel	channel	NOUN
ap-5173	314	10	,	,	PUNCT
ap-5173	314	11	in	in	ADP
ap-5173	314	12	the	the	DET
ap-5173	314	13	overburden	overburden	ADJ
ap-5173	314	14	and	and	CCONJ
ap-5173	314	15	the	the	DET
ap-5173	314	16	under	under	NOUN
ap-5173	314	17	-	-	PUNCT
ap-5173	314	18	burden	burden	NOUN
ap-5173	314	19	was	be	AUX
ap-5173	314	20	measured	measure	VERB
ap-5173	314	21	.	.	PUNCT
ap-5173	315	1	on	on	ADP
ap-5173	315	2	the	the	DET
ap-5173	315	3	outlet	outlet	NOUN
ap-5173	315	4	from	from	ADP
ap-5173	315	5	the	the	DET
ap-5173	315	6	reactor	reactor	NOUN
ap-5173	315	7	,	,	PUNCT
ap-5173	315	8	the	the	DET
ap-5173	315	9	sample	sample	NOUN
ap-5173	315	10	of	of	ADP
ap-5173	315	11	syngas	syngas	NOUN
ap-5173	315	12	was	be	AUX
ap-5173	315	13	captured	capture	VERB
ap-5173	315	14	to	to	PART
ap-5173	315	15	be	be	AUX
ap-5173	315	16	analysed	analyse	VERB
ap-5173	315	17	by	by	ADP
ap-5173	315	18	two	two	NUM
ap-5173	315	19	stationary	stationary	ADJ
ap-5173	315	20	analysers	analyser	NOUN
ap-5173	315	21	.	.	PUNCT
ap-5173	316	1	the	the	DET
ap-5173	316	2	concentration	concentration	NOUN
ap-5173	316	3	of	of	ADP
ap-5173	316	4	co	co	NOUN
ap-5173	316	5	,	,	PUNCT
ap-5173	316	6	co2	co2	NOUN
ap-5173	316	7	,	,	PUNCT
ap-5173	316	8	o2	o2	PROPN
ap-5173	316	9	,	,	PUNCT
ap-5173	316	10	ch4	ch4	PROPN
ap-5173	316	11	,	,	PUNCT
ap-5173	316	12	h2	h2	PROPN
ap-5173	316	13	in	in	ADP
ap-5173	316	14	the	the	DET
ap-5173	316	15	syngas	syngas	NOUN
ap-5173	316	16	was	be	AUX
ap-5173	316	17	constantly	constantly	ADV
ap-5173	316	18	measured	measure	VERB
ap-5173	316	19	.	.	PUNCT
ap-5173	317	1	the	the	DET
ap-5173	317	2	syngas	syngas	NOUN
ap-5173	317	3	calorific	calorific	NOUN
ap-5173	317	4	value	value	NOUN
ap-5173	317	5	was	be	AUX
ap-5173	317	6	continually	continually	ADV
ap-5173	317	7	calculated	calculate	VERB
ap-5173	317	8	from	from	ADP
ap-5173	317	9	the	the	DET
ap-5173	317	10	composition	composition	NOUN
ap-5173	317	11	of	of	ADP
ap-5173	317	12	the	the	DET
ap-5173	317	13	syngas	syngas	NOUN
ap-5173	317	14	.	.	PUNCT
ap-5173	318	1	the	the	DET
ap-5173	318	2	pressure	pressure	NOUN
ap-5173	318	3	at	at	ADP
ap-5173	318	4	the	the	DET
ap-5173	318	5	outlet	outlet	NOUN
ap-5173	318	6	was	be	AUX
ap-5173	318	7	controlled	control	VERB
ap-5173	318	8	by	by	ADP
ap-5173	318	9	a	a	DET
ap-5173	318	10	vacuum	vacuum	NOUN
ap-5173	318	11	fan	fan	NOUN
ap-5173	318	12	.	.	PUNCT
ap-5173	319	1	the	the	DET
ap-5173	319	2	power	power	NOUN
ap-5173	319	3	of	of	ADP
ap-5173	319	4	the	the	DET
ap-5173	319	5	fan	fan	NOUN
ap-5173	319	6	was	be	AUX
ap-5173	319	7	controlled	control	VERB
ap-5173	319	8	by	by	ADP
ap-5173	319	9	a	a	DET
ap-5173	319	10	frequency	frequency	NOUN
ap-5173	319	11	inverter	inverter	NOUN
ap-5173	319	12	.	.	PUNCT
ap-5173	320	1	the	the	DET
ap-5173	320	2	outlet	outlet	NOUN
ap-5173	320	3	pressure	pressure	NOUN
ap-5173	320	4	was	be	AUX
ap-5173	320	5	measured	measure	VERB
ap-5173	320	6	by	by	ADP
ap-5173	320	7	one	one	NUM
ap-5173	320	8	pressure	pressure	NOUN
ap-5173	320	9	transducer	transducer	NOUN
ap-5173	320	10	.	.	PUNCT
ap-5173	321	1	the	the	DET
ap-5173	321	2	produced	produce	VERB
ap-5173	321	3	syngas	syngas	NOUN
ap-5173	321	4	was	be	AUX
ap-5173	321	5	finally	finally	ADV
ap-5173	321	6	burned	burn	VERB
ap-5173	321	7	in	in	ADP
ap-5173	321	8	the	the	DET
ap-5173	321	9	combustion	combustion	NOUN
ap-5173	321	10	chamber	chamber	NOUN
ap-5173	321	11	.	.	PUNCT
ap-5173	322	1	the	the	DET
ap-5173	322	2	ucg	ucg	PROPN
ap-5173	322	3	was	be	AUX
ap-5173	322	4	tried	try	VERB
ap-5173	322	5	in	in	ADP
ap-5173	322	6	two	two	NUM
ap-5173	322	7	different	different	ADJ
ap-5173	322	8	reactors	reactor	NOUN
ap-5173	322	9	.	.	PUNCT
ap-5173	323	1	figure	figure	VERB
ap-5173	323	2	3	3	NUM
ap-5173	323	3	shows	show	VERB
ap-5173	323	4	a	a	DET
ap-5173	323	5	complete	complete	ADJ
ap-5173	323	6	technological	technological	ADJ
ap-5173	323	7	scheme	scheme	NOUN
ap-5173	323	8	of	of	ADP
ap-5173	323	9	the	the	DET
ap-5173	323	10	experimental	experimental	ADJ
ap-5173	323	11	gasification	gasification	NOUN
ap-5173	323	12	with	with	ADP
ap-5173	323	13	one	one	NUM
ap-5173	323	14	generator	generator	NOUN
ap-5173	323	15	.	.	PUNCT
ap-5173	324	1	all	all	DET
ap-5173	324	2	devices	device	NOUN
ap-5173	324	3	for	for	ADP
ap-5173	324	4	measurement	measurement	NOUN
ap-5173	324	5	and	and	CCONJ
ap-5173	324	6	control	control	NOUN
ap-5173	324	7	(	(	PUNCT
ap-5173	324	8	i.e.	i.e.	X
ap-5173	324	9	,	,	PUNCT
ap-5173	324	10	pressure	pressure	NOUN
ap-5173	324	11	transducers	transducer	NOUN
ap-5173	324	12	,	,	PUNCT
ap-5173	324	13	differential	differential	ADJ
ap-5173	324	14	pressure	pressure	NOUN
ap-5173	324	15	transducers	transducer	NOUN
ap-5173	324	16	,	,	PUNCT
ap-5173	324	17	servovalve	servovalve	ADP
ap-5173	324	18	,	,	PUNCT
ap-5173	324	19	thermocouples	thermocouple	NOUN
ap-5173	324	20	,	,	PUNCT
ap-5173	324	21	switching	switch	VERB
ap-5173	324	22	relays	relay	NOUN
ap-5173	324	23	,	,	PUNCT
ap-5173	324	24	frequency	frequency	NOUN
ap-5173	324	25	converter	converter	NOUN
ap-5173	324	26	with	with	ADP
ap-5173	324	27	fan	fan	PROPN
ap-5173	324	28	,	,	PUNCT
ap-5173	324	29	compressors	compressor	NOUN
ap-5173	324	30	and	and	CCONJ
ap-5173	324	31	gas	gas	NOUN
ap-5173	324	32	analysers	analyser	NOUN
ap-5173	324	33	)	)	PUNCT
ap-5173	324	34	were	be	AUX
ap-5173	324	35	connected	connect	VERB
ap-5173	324	36	to	to	ADP
ap-5173	324	37	a	a	DET
ap-5173	324	38	plc	plc	PROPN
ap-5173	324	39	that	that	PRON
ap-5173	324	40	provided	provide	VERB
ap-5173	324	41	the	the	DET
ap-5173	324	42	basic	basic	ADJ
ap-5173	324	43	control	control	NOUN
ap-5173	324	44	loop	loop	NOUN
ap-5173	324	45	gasification	gasification	NOUN
ap-5173	324	46	(	(	PUNCT
ap-5173	324	47	i.e.	i.e.	X
ap-5173	324	48	,	,	PUNCT
ap-5173	324	49	on	on	ADP
ap-5173	324	50	-	-	PUNCT
ap-5173	324	51	off	off	ADP
ap-5173	324	52	control	control	NOUN
ap-5173	324	53	of	of	ADP
ap-5173	324	54	compressors	compressor	NOUN
ap-5173	324	55	,	,	PUNCT
ap-5173	324	56	air	air	NOUN
ap-5173	324	57	flow	flow	NOUN
ap-5173	324	58	stabilization	stabilization	NOUN
ap-5173	324	59	,	,	PUNCT
ap-5173	324	60	temperature	temperature	NOUN
ap-5173	324	61	stabilization	stabilization	NOUN
ap-5173	324	62	,	,	PUNCT
ap-5173	324	63	oxygen	oxygen	NOUN
ap-5173	324	64	concentration	concentration	NOUN
ap-5173	324	65	stabilization	stabilization	NOUN
ap-5173	324	66	)	)	PUNCT
ap-5173	324	67	.	.	PUNCT
ap-5173	325	1	the	the	DET
ap-5173	325	2	plc	plc	PROPN
ap-5173	325	3	was	be	AUX
ap-5173	325	4	connected	connect	VERB
ap-5173	325	5	to	to	ADP
ap-5173	325	6	a	a	DET
ap-5173	325	7	pc	pc	NOUN
ap-5173	325	8	that	that	PRON
ap-5173	325	9	performed	perform	VERB
ap-5173	325	10	data	data	NOUN
ap-5173	325	11	storage	storage	NOUN
ap-5173	325	12	,	,	PUNCT
ap-5173	325	13	optimal	optimal	ADJ
ap-5173	325	14	control	control	NOUN
ap-5173	326	1	[	[	X
ap-5173	326	2	45	45	NUM
ap-5173	326	3	]	]	PUNCT
ap-5173	326	4	,	,	PUNCT
ap-5173	326	5	and	and	CCONJ
ap-5173	326	6	process	process	NOUN
ap-5173	326	7	monitoring	monitor	VERB
ap-5173	326	8	[	[	X
ap-5173	326	9	46	46	NUM
ap-5173	326	10	]	]	PUNCT
ap-5173	326	11	.	.	PUNCT
ap-5173	327	1	the	the	DET
ap-5173	327	2	scada	scada	PROPN
ap-5173	327	3	/	/	SYM
ap-5173	327	4	hmi	hmi	PROPN
ap-5173	327	5	system	system	NOUN
ap-5173	327	6	promotic	promotic	ADJ
ap-5173	327	7	was	be	AUX
ap-5173	327	8	used	use	VERB
ap-5173	327	9	for	for	ADP
ap-5173	327	10	the	the	DET
ap-5173	327	11	monitoring	monitoring	NOUN
ap-5173	327	12	of	of	ADP
ap-5173	327	13	the	the	DET
ap-5173	327	14	process	process	NOUN
ap-5173	327	15	and	and	CCONJ
ap-5173	327	16	setting	set	VERB
ap-5173	327	17	the	the	DET
ap-5173	327	18	controllers	controller	NOUN
ap-5173	327	19	[	[	X
ap-5173	327	20	46	46	NUM
ap-5173	327	21	]	]	PUNCT
ap-5173	327	22	.	.	PUNCT
ap-5173	328	1	a	a	DET
ap-5173	328	2	detailed	detailed	ADJ
ap-5173	328	3	description	description	NOUN
ap-5173	328	4	of	of	ADP
ap-5173	328	5	all	all	DET
ap-5173	328	6	devices	device	NOUN
ap-5173	328	7	that	that	PRON
ap-5173	328	8	were	be	AUX
ap-5173	328	9	used	use	VERB
ap-5173	328	10	for	for	ADP
ap-5173	328	11	the	the	DET
ap-5173	328	12	measurement	measurement	NOUN
ap-5173	328	13	and	and	CCONJ
ap-5173	328	14	control	control	NOUN
ap-5173	328	15	was	be	AUX
ap-5173	328	16	presented	present	VERB
ap-5173	328	17	in	in	ADP
ap-5173	328	18	[	[	X
ap-5173	328	19	41	41	NUM
ap-5173	328	20	]	]	PUNCT
ap-5173	328	21	.	.	PUNCT
ap-5173	329	1	the	the	DET
ap-5173	329	2	measured	measure	VERB
ap-5173	329	3	process	process	NOUN
ap-5173	329	4	variables	variable	NOUN
ap-5173	329	5	(	(	PUNCT
ap-5173	329	6	i.e.	i.e.	X
ap-5173	329	7	,	,	PUNCT
ap-5173	329	8	flows	flow	NOUN
ap-5173	329	9	of	of	ADP
ap-5173	329	10	gasification	gasification	NOUN
ap-5173	329	11	agents	agent	NOUN
ap-5173	329	12	,	,	PUNCT
ap-5173	329	13	pressures	pressure	NOUN
ap-5173	329	14	,	,	PUNCT
ap-5173	329	15	temperatures	temperature	NOUN
ap-5173	329	16	,	,	PUNCT
ap-5173	329	17	syngas	syngas	NOUN
ap-5173	329	18	composition	composition	NOUN
ap-5173	329	19	and	and	CCONJ
ap-5173	329	20	calorific	calorific	NOUN
ap-5173	329	21	value	value	NOUN
ap-5173	329	22	)	)	PUNCT
ap-5173	329	23	were	be	AUX
ap-5173	329	24	recorded	record	VERB
ap-5173	329	25	in	in	ADP
ap-5173	329	26	a	a	DET
ap-5173	329	27	database	database	NOUN
ap-5173	329	28	which	which	PRON
ap-5173	329	29	may	may	AUX
ap-5173	329	30	later	later	ADV
ap-5173	329	31	be	be	AUX
ap-5173	329	32	processed	process	VERB
ap-5173	329	33	as	as	ADP
ap-5173	329	34	a	a	DET
ap-5173	329	35	set	set	NOUN
ap-5173	329	36	of	of	ADP
ap-5173	329	37	time	time	NOUN
ap-5173	329	38	series	series	NOUN
ap-5173	329	39	.	.	PUNCT
ap-5173	330	1	the	the	DET
ap-5173	330	2	pc	pc	NOUN
ap-5173	330	3	with	with	ADP
ap-5173	330	4	cpu	cpu	PROPN
ap-5173	330	5	intel	intel	PROPN
ap-5173	330	6	®	®	PROPN
ap-5173	330	7	coretm	coretm	NOUN
ap-5173	330	8	i54300u	i54300u	X
ap-5173	330	9	(	(	PUNCT
ap-5173	330	10	2.9	2.9	NUM
ap-5173	330	11	ghz	ghz	NOUN
ap-5173	330	12	)	)	PUNCT
ap-5173	330	13	and	and	CCONJ
ap-5173	330	14	8	8	NUM
ap-5173	330	15	gb	gb	NOUN
ap-5173	330	16	ram	ram	NOUN
ap-5173	330	17	was	be	AUX
ap-5173	330	18	used	use	VERB
ap-5173	330	19	for	for	ADP
ap-5173	330	20	all	all	DET
ap-5173	330	21	calculations	calculation	NOUN
ap-5173	330	22	.	.	PUNCT
ap-5173	331	1	4	4	X
ap-5173	331	2	.	.	NOUN
ap-5173	331	3	results	result	NOUN
ap-5173	331	4	and	and	CCONJ
ap-5173	331	5	discussion	discussion	VERB
ap-5173	331	6	the	the	DET
ap-5173	331	7	flowchart	flowchart	NOUN
ap-5173	331	8	for	for	ADP
ap-5173	331	9	the	the	DET
ap-5173	331	10	proposed	propose	VERB
ap-5173	331	11	soft	soft	ADJ
ap-5173	331	12	-	-	PUNCT
ap-5173	331	13	sensing	sensing	NOUN
ap-5173	331	14	in	in	ADP
ap-5173	331	15	the	the	DET
ap-5173	331	16	ucg	ucg	NOUN
ap-5173	331	17	is	be	AUX
ap-5173	331	18	shown	show	VERB
ap-5173	331	19	in	in	ADP
ap-5173	331	20	figure	figure	NOUN
ap-5173	331	21	4	4	NUM
ap-5173	331	22	.	.	PUNCT
ap-5173	332	1	this	this	DET
ap-5173	332	2	paper	paper	NOUN
ap-5173	332	3	focuses	focus	VERB
ap-5173	332	4	on	on	ADP
ap-5173	332	5	the	the	DET
ap-5173	332	6	evaluation	evaluation	NOUN
ap-5173	332	7	of	of	ADP
ap-5173	332	8	the	the	DET
ap-5173	332	9	potential	potential	ADJ
ap-5173	332	10	predictive	predictive	ADJ
ap-5173	332	11	methods	method	NOUN
ap-5173	332	12	that	that	PRON
ap-5173	332	13	could	could	AUX
ap-5173	332	14	be	be	AUX
ap-5173	332	15	used	use	VERB
ap-5173	332	16	in	in	ADP
ap-5173	332	17	soft	soft	ADJ
ap-5173	332	18	-	-	PUNCT
ap-5173	332	19	sensing	sense	VERB
ap-5173	332	20	.	.	PUNCT
ap-5173	333	1	machine	machine	NOUN
ap-5173	333	2	learning	learning	NOUN
ap-5173	333	3	models	model	NOUN
ap-5173	333	4	are	be	AUX
ap-5173	333	5	generalized	generalize	VERB
ap-5173	333	6	to	to	ADP
ap-5173	333	7	data	datum	NOUN
ap-5173	333	8	similar	similar	ADJ
ap-5173	333	9	to	to	ADP
ap-5173	333	10	those	those	PRON
ap-5173	333	11	on	on	ADP
ap-5173	333	12	which	which	PRON
ap-5173	333	13	they	they	PRON
ap-5173	333	14	were	be	AUX
ap-5173	333	15	trained	train	VERB
ap-5173	333	16	.	.	PUNCT
ap-5173	334	1	although	although	SCONJ
ap-5173	334	2	static	static	ADJ
ap-5173	334	3	models	model	NOUN
ap-5173	334	4	,	,	PUNCT
ap-5173	334	5	which	which	PRON
ap-5173	334	6	are	be	AUX
ap-5173	334	7	timeindependent	timeindependent	NOUN
ap-5173	334	8	,	,	PUNCT
ap-5173	334	9	i.e.	i.e.	X
ap-5173	334	10	,	,	PUNCT
ap-5173	334	11	they	they	PRON
ap-5173	334	12	work	work	VERB
ap-5173	334	13	on	on	ADP
ap-5173	334	14	a	a	DET
ap-5173	334	15	single	single	ADJ
ap-5173	334	16	data	datum	NOUN
ap-5173	334	17	set	set	NOUN
ap-5173	334	18	,	,	PUNCT
ap-5173	334	19	have	have	AUX
ap-5173	334	20	been	be	AUX
ap-5173	334	21	used	use	VERB
ap-5173	334	22	,	,	PUNCT
ap-5173	334	23	their	their	PRON
ap-5173	334	24	application	application	NOUN
ap-5173	334	25	to	to	ADP
ap-5173	334	26	the	the	DET
ap-5173	334	27	dynamic	dynamic	ADJ
ap-5173	334	28	process	process	NOUN
ap-5173	334	29	should	should	AUX
ap-5173	334	30	be	be	AUX
ap-5173	334	31	improved	improve	VERB
ap-5173	334	32	by	by	ADP
ap-5173	334	33	the	the	DET
ap-5173	334	34	continual	continual	ADJ
ap-5173	334	35	updating	updating	NOUN
ap-5173	334	36	of	of	ADP
ap-5173	334	37	the	the	DET
ap-5173	334	38	training	training	NOUN
ap-5173	334	39	set	set	VERB
ap-5173	334	40	with	with	ADP
ap-5173	334	41	the	the	DET
ap-5173	334	42	online	online	ADJ
ap-5173	334	43	data	datum	NOUN
ap-5173	334	44	.	.	PUNCT
ap-5173	335	1	the	the	DET
ap-5173	335	2	development	development	NOUN
ap-5173	335	3	of	of	ADP
ap-5173	335	4	practical	practical	ADJ
ap-5173	335	5	on	on	ADP
ap-5173	335	6	-	-	PUNCT
ap-5173	335	7	line	line	NOUN
ap-5173	335	8	prediction	prediction	NOUN
ap-5173	335	9	soft	soft	ADJ
ap-5173	335	10	sensors	sensor	NOUN
ap-5173	335	11	consists	consist	VERB
ap-5173	335	12	of	of	ADP
ap-5173	335	13	two	two	NUM
ap-5173	335	14	stages	stage	NOUN
ap-5173	335	15	:	:	PUNCT
ap-5173	335	16	training	training	NOUN
ap-5173	335	17	and	and	CCONJ
ap-5173	335	18	on	on	ADP
ap-5173	335	19	-	-	PUNCT
ap-5173	335	20	line	line	NOUN
ap-5173	335	21	prediction	prediction	NOUN
ap-5173	335	22	.	.	PUNCT
ap-5173	336	1	a	a	DET
ap-5173	336	2	data	datum	NOUN
ap-5173	336	3	set	set	VERB
ap-5173	336	4	from	from	ADP
ap-5173	336	5	the	the	DET
ap-5173	336	6	experimental	experimental	ADJ
ap-5173	336	7	ucg	ucg	PROPN
ap-5173	336	8	was	be	AUX
ap-5173	336	9	used	use	VERB
ap-5173	336	10	in	in	ADP
ap-5173	336	11	order	order	NOUN
ap-5173	336	12	to	to	PART
ap-5173	336	13	train	train	VERB
ap-5173	336	14	a	a	DET
ap-5173	336	15	data	data	NOUN
ap-5173	336	16	-	-	PUNCT
ap-5173	336	17	driven	drive	VERB
ap-5173	336	18	modeling	modeling	NOUN
ap-5173	336	19	algorithm	algorithm	NOUN
ap-5173	336	20	.	.	PUNCT
ap-5173	337	1	three	three	NUM
ap-5173	337	2	prediction	prediction	NOUN
ap-5173	337	3	methods	method	NOUN
ap-5173	337	4	analysed	analyse	VERB
ap-5173	337	5	in	in	ADP
ap-5173	337	6	the	the	DET
ap-5173	337	7	previous	previous	ADJ
ap-5173	337	8	section	section	NOUN
ap-5173	337	9	have	have	AUX
ap-5173	337	10	been	be	AUX
ap-5173	337	11	applied	apply	VERB
ap-5173	337	12	in	in	ADP
ap-5173	337	13	order	order	NOUN
ap-5173	337	14	to	to	PART
ap-5173	337	15	predict	predict	VERB
ap-5173	337	16	the	the	DET
ap-5173	337	17	underground	underground	ADJ
ap-5173	337	18	temperature	temperature	NOUN
ap-5173	337	19	in	in	ADP
ap-5173	337	20	the	the	DET
ap-5173	337	21	oxidizing	oxidize	VERB
ap-5173	337	22	zone	zone	NOUN
ap-5173	337	23	of	of	ADP
ap-5173	337	24	ex	ex	ADJ
ap-5173	337	25	-	-	ADJ
ap-5173	337	26	situ	situ	ADJ
ap-5173	337	27	reactor	reactor	NOUN
ap-5173	337	28	and	and	CCONJ
ap-5173	337	29	syngas	syngas	NOUN
ap-5173	337	30	calorific	calorific	ADJ
ap-5173	337	31	value	value	NOUN
ap-5173	337	32	.	.	PUNCT
ap-5173	338	1	the	the	DET
ap-5173	338	2	data	datum	NOUN
ap-5173	338	3	obtained	obtain	VERB
ap-5173	338	4	during	during	ADP
ap-5173	338	5	the	the	DET
ap-5173	338	6	experimental	experimental	ADJ
ap-5173	338	7	ucg	ucg	NOUN
ap-5173	338	8	with	with	ADP
ap-5173	338	9	the	the	DET
ap-5173	338	10	laboratory	laboratory	NOUN
ap-5173	338	11	equipment	equipment	NOUN
ap-5173	338	12	have	have	AUX
ap-5173	338	13	been	be	AUX
ap-5173	338	14	used	use	VERB
ap-5173	338	15	in	in	ADP
ap-5173	338	16	the	the	DET
ap-5173	338	17	analyses	analysis	NOUN
ap-5173	338	18	.	.	PUNCT
ap-5173	339	1	as	as	ADP
ap-5173	339	2	an	an	DET
ap-5173	339	3	underground	underground	ADJ
ap-5173	339	4	temperature	temperature	NOUN
ap-5173	339	5	in	in	ADP
ap-5173	339	6	the	the	DET
ap-5173	339	7	oxidizing	oxidize	VERB
ap-5173	339	8	zone	zone	NOUN
ap-5173	339	9	,	,	PUNCT
ap-5173	339	10	the	the	DET
ap-5173	339	11	highest	high	ADJ
ap-5173	339	12	temperature	temperature	NOUN
ap-5173	339	13	along	along	ADP
ap-5173	339	14	the	the	DET
ap-5173	339	15	gasification	gasification	NOUN
ap-5173	339	16	channel	channel	NOUN
ap-5173	339	17	during	during	ADP
ap-5173	339	18	the	the	DET
ap-5173	339	19	experiment	experiment	NOUN
ap-5173	339	20	is	be	AUX
ap-5173	339	21	considered	consider	VERB
ap-5173	339	22	.	.	PUNCT
ap-5173	340	1	observations	observation	NOUN
ap-5173	340	2	and	and	CCONJ
ap-5173	340	3	target	target	NOUN
ap-5173	340	4	data	datum	NOUN
ap-5173	340	5	measured	measure	VERB
ap-5173	340	6	during	during	ADP
ap-5173	340	7	a	a	DET
ap-5173	340	8	one	one	NUM
ap-5173	340	9	well	well	ADV
ap-5173	340	10	-	-	PUNCT
ap-5173	340	11	running	run	VERB
ap-5173	340	12	experiment	experiment	NOUN
ap-5173	340	13	were	be	AUX
ap-5173	340	14	used	use	VERB
ap-5173	340	15	in	in	ADP
ap-5173	340	16	this	this	DET
ap-5173	340	17	paper	paper	NOUN
ap-5173	340	18	for	for	ADP
ap-5173	340	19	the	the	DET
ap-5173	340	20	analysis	analysis	NOUN
ap-5173	340	21	.	.	PUNCT
ap-5173	341	1	when	when	SCONJ
ap-5173	341	2	the	the	DET
ap-5173	341	3	learning	learning	NOUN
ap-5173	341	4	method	method	NOUN
ap-5173	341	5	is	be	AUX
ap-5173	341	6	applied	apply	VERB
ap-5173	341	7	,	,	PUNCT
ap-5173	341	8	it	it	PRON
ap-5173	341	9	is	be	AUX
ap-5173	341	10	convenient	convenient	ADJ
ap-5173	341	11	to	to	PART
ap-5173	341	12	divide	divide	VERB
ap-5173	341	13	observed	observed	ADJ
ap-5173	341	14	data	datum	NOUN
ap-5173	341	15	into	into	ADP
ap-5173	341	16	a	a	DET
ap-5173	341	17	training	training	NOUN
ap-5173	341	18	set	set	VERB
ap-5173	341	19	atrain	atrain	ADV
ap-5173	341	20	and	and	CCONJ
ap-5173	341	21	test	test	NOUN
ap-5173	341	22	set	set	VERB
ap-5173	341	23	atest	atest	ADV
ap-5173	341	24	(	(	PUNCT
ap-5173	341	25	i.e.	i.e.	X
ap-5173	341	26	,	,	PUNCT
ap-5173	341	27	validation	validation	NOUN
ap-5173	341	28	set	set	NOUN
ap-5173	341	29	)	)	PUNCT
ap-5173	341	30	.	.	PUNCT
ap-5173	342	1	when	when	SCONJ
ap-5173	342	2	choosing	choose	VERB
ap-5173	342	3	a	a	DET
ap-5173	342	4	training	training	NOUN
ap-5173	342	5	and	and	CCONJ
ap-5173	342	6	test	test	NOUN
ap-5173	342	7	sets	set	NOUN
ap-5173	342	8	,	,	PUNCT
ap-5173	342	9	it	it	PRON
ap-5173	342	10	is	be	AUX
ap-5173	342	11	recommended	recommend	VERB
ap-5173	342	12	to	to	PART
ap-5173	342	13	ensure	ensure	VERB
ap-5173	342	14	that	that	SCONJ
ap-5173	342	15	the	the	DET
ap-5173	342	16	data	datum	NOUN
ap-5173	342	17	used	use	VERB
ap-5173	342	18	for	for	ADP
ap-5173	342	19	the	the	DET
ap-5173	342	20	model	model	NOUN
ap-5173	342	21	testing	testing	NOUN
ap-5173	342	22	covers	cover	VERB
ap-5173	342	23	a	a	DET
ap-5173	342	24	significant	significant	ADJ
ap-5173	342	25	range	range	NOUN
ap-5173	342	26	of	of	ADP
ap-5173	342	27	variations	variation	NOUN
ap-5173	342	28	that	that	PRON
ap-5173	342	29	are	be	AUX
ap-5173	342	30	supposed	suppose	VERB
ap-5173	342	31	to	to	PART
ap-5173	342	32	be	be	AUX
ap-5173	342	33	encountered	encounter	VERB
ap-5173	342	34	during	during	ADP
ap-5173	342	35	the	the	DET
ap-5173	342	36	use	use	NOUN
ap-5173	342	37	of	of	ADP
ap-5173	342	38	the	the	DET
ap-5173	342	39	soft	soft	ADJ
ap-5173	342	40	sensor	sensor	NOUN
ap-5173	342	41	.	.	PUNCT
ap-5173	343	1	given	give	VERB
ap-5173	343	2	that	that	SCONJ
ap-5173	343	3	there	there	PRON
ap-5173	343	4	is	be	VERB
ap-5173	343	5	no	no	DET
ap-5173	343	6	exact	exact	ADJ
ap-5173	343	7	rule	rule	NOUN
ap-5173	343	8	in	in	ADP
ap-5173	343	9	the	the	DET
ap-5173	343	10	literature	literature	NOUN
ap-5173	343	11	how	how	SCONJ
ap-5173	343	12	to	to	PART
ap-5173	343	13	divide	divide	VERB
ap-5173	343	14	the	the	DET
ap-5173	343	15	data	datum	NOUN
ap-5173	343	16	into	into	ADP
ap-5173	343	17	a	a	DET
ap-5173	343	18	training	training	NOUN
ap-5173	343	19	and	and	CCONJ
ap-5173	343	20	test	test	NOUN
ap-5173	343	21	set	set	VERB
ap-5173	343	22	for	for	ADP
ap-5173	343	23	specific	specific	ADJ
ap-5173	343	24	learning	learning	NOUN
ap-5173	343	25	methods	method	NOUN
ap-5173	343	26	(	(	PUNCT
ap-5173	343	27	there	there	PRON
ap-5173	343	28	are	be	VERB
ap-5173	343	29	some	some	DET
ap-5173	343	30	different	different	ADJ
ap-5173	343	31	recommendations	recommendation	NOUN
ap-5173	343	32	and	and	CCONJ
ap-5173	343	33	instruction	instruction	NOUN
ap-5173	343	34	for	for	ADP
ap-5173	343	35	experimentation	experimentation	NOUN
ap-5173	343	36	)	)	PUNCT
ap-5173	343	37	,	,	PUNCT
ap-5173	343	38	the	the	DET
ap-5173	343	39	models	model	NOUN
ap-5173	343	40	were	be	AUX
ap-5173	343	41	tested	test	VERB
ap-5173	343	42	on	on	ADP
ap-5173	343	43	data	datum	NOUN
ap-5173	343	44	from	from	ADP
ap-5173	343	45	the	the	DET
ap-5173	343	46	10	10	NUM
ap-5173	343	47	%	%	NOUN
ap-5173	343	48	and	and	CCONJ
ap-5173	343	49	20	20	NUM
ap-5173	343	50	%	%	NOUN
ap-5173	343	51	of	of	ADP
ap-5173	343	52	the	the	DET
ap-5173	343	53	experiment	experiment	NOUN
ap-5173	343	54	.	.	PUNCT
ap-5173	344	1	in	in	ADP
ap-5173	344	2	general	general	ADJ
ap-5173	344	3	,	,	PUNCT
ap-5173	344	4	a	a	DET
ap-5173	344	5	higher	high	ADJ
ap-5173	344	6	performance	performance	NOUN
ap-5173	344	7	of	of	ADP
ap-5173	344	8	selected	select	VERB
ap-5173	344	9	methods	method	NOUN
ap-5173	344	10	was	be	AUX
ap-5173	344	11	obtained	obtain	VERB
ap-5173	344	12	with	with	ADP
ap-5173	344	13	more	more	ADJ
ap-5173	344	14	data	datum	NOUN
ap-5173	344	15	for	for	ADP
ap-5173	344	16	training	training	NOUN
ap-5173	344	17	(	(	PUNCT
ap-5173	344	18	i.e.	i.e.	X
ap-5173	344	19	,	,	PUNCT
ap-5173	344	20	the	the	DET
ap-5173	344	21	ratio	ratio	NOUN
ap-5173	344	22	between	between	ADP
ap-5173	344	23	the	the	DET
ap-5173	344	24	training	training	NOUN
ap-5173	344	25	set	set	NOUN
ap-5173	344	26	and	and	CCONJ
ap-5173	344	27	the	the	DET
ap-5173	344	28	test	test	NOUN
ap-5173	344	29	set	set	NOUN
ap-5173	344	30	was	be	AUX
ap-5173	344	31	90:10	90:10	NUM
ap-5173	344	32	)	)	PUNCT
ap-5173	344	33	.	.	PUNCT
ap-5173	345	1	to	to	PART
ap-5173	345	2	compare	compare	VERB
ap-5173	345	3	the	the	DET
ap-5173	345	4	performance	performance	NOUN
ap-5173	345	5	of	of	ADP
ap-5173	345	6	three	three	NUM
ap-5173	345	7	different	different	ADJ
ap-5173	345	8	methods	method	NOUN
ap-5173	345	9	,	,	PUNCT
ap-5173	345	10	this	this	DET
ap-5173	345	11	paper	paper	NOUN
ap-5173	345	12	presents	present	VERB
ap-5173	345	13	only	only	ADV
ap-5173	345	14	results	result	NOUN
ap-5173	345	15	when	when	SCONJ
ap-5173	345	16	10	10	NUM
ap-5173	345	17	%	%	NOUN
ap-5173	345	18	of	of	ADP
ap-5173	345	19	the	the	DET
ap-5173	345	20	experiment	experiment	NOUN
ap-5173	345	21	was	be	AUX
ap-5173	345	22	used	use	VERB
ap-5173	345	23	for	for	ADP
ap-5173	345	24	the	the	DET
ap-5173	345	25	test	test	NOUN
ap-5173	345	26	.	.	PUNCT
ap-5173	346	1	the	the	DET
ap-5173	346	2	used	use	VERB
ap-5173	346	3	test	test	NOUN
ap-5173	346	4	set	set	VERB
ap-5173	346	5	consisted	consist	VERB
ap-5173	346	6	of	of	ADP
ap-5173	346	7	10	10	NUM
ap-5173	346	8	%	%	NOUN
ap-5173	346	9	of	of	ADP
ap-5173	346	10	the	the	DET
ap-5173	346	11	data	datum	NOUN
ap-5173	346	12	from	from	ADP
ap-5173	346	13	the	the	DET
ap-5173	346	14	end	end	NOUN
ap-5173	346	15	of	of	ADP
ap-5173	346	16	the	the	DET
ap-5173	346	17	experiment	experiment	NOUN
ap-5173	346	18	.	.	PUNCT
ap-5173	347	1	the	the	DET
ap-5173	347	2	whole	whole	ADJ
ap-5173	347	3	experiment	experiment	NOUN
ap-5173	347	4	lasted	last	VERB
ap-5173	347	5	for	for	ADP
ap-5173	347	6	70	70	NUM
ap-5173	347	7	hours	hour	NOUN
ap-5173	347	8	.	.	PUNCT
ap-5173	348	1	in	in	ADP
ap-5173	348	2	simulations	simulation	NOUN
ap-5173	348	3	,	,	PUNCT
ap-5173	348	4	there	there	PRON
ap-5173	348	5	were	be	VERB
ap-5173	348	6	4201	4201	NUM
ap-5173	348	7	patters	patter	NOUN
ap-5173	348	8	in	in	ADP
ap-5173	348	9	total	total	ADJ
ap-5173	348	10	and	and	CCONJ
ap-5173	348	11	3781	3781	NUM
ap-5173	348	12	patterns	pattern	NOUN
ap-5173	348	13	were	be	AUX
ap-5173	348	14	used	use	VERB
ap-5173	348	15	for	for	ADP
ap-5173	348	16	training	training	NOUN
ap-5173	348	17	.	.	PUNCT
ap-5173	349	1	overview	overview	NOUN
ap-5173	349	2	of	of	ADP
ap-5173	349	3	all	all	DET
ap-5173	349	4	regarded	regard	VERB
ap-5173	349	5	observations	observation	NOUN
ap-5173	349	6	and	and	CCONJ
ap-5173	349	7	targets	target	NOUN
ap-5173	349	8	shows	show	VERB
ap-5173	349	9	table	table	NOUN
ap-5173	349	10	2	2	NUM
ap-5173	349	11	.	.	PUNCT
ap-5173	350	1	the	the	DET
ap-5173	350	2	pressure	pressure	NOUN
ap-5173	350	3	on	on	ADP
ap-5173	350	4	the	the	DET
ap-5173	350	5	outlet	outlet	NOUN
ap-5173	350	6	is	be	AUX
ap-5173	350	7	the	the	DET
ap-5173	350	8	relative	relative	ADJ
ap-5173	350	9	pressure	pressure	NOUN
ap-5173	350	10	measured	measure	VERB
ap-5173	350	11	on	on	ADP
ap-5173	350	12	the	the	DET
ap-5173	350	13	output	output	NOUN
ap-5173	350	14	pipe	pipe	NOUN
ap-5173	350	15	from	from	ADP
ap-5173	350	16	the	the	DET
ap-5173	350	17	gasifier	gasifier	NOUN
ap-5173	350	18	.	.	PUNCT
ap-5173	351	1	this	this	DET
ap-5173	351	2	pressure	pressure	NOUN
ap-5173	351	3	can	can	AUX
ap-5173	351	4	also	also	ADV
ap-5173	351	5	be	be	AUX
ap-5173	351	6	negative	negative	ADJ
ap-5173	351	7	when	when	SCONJ
ap-5173	351	8	the	the	DET
ap-5173	351	9	power	power	NOUN
ap-5173	351	10	of	of	ADP
ap-5173	351	11	the	the	DET
ap-5173	351	12	exhaust	exhaust	NOUN
ap-5173	351	13	fan	fan	NOUN
ap-5173	351	14	is	be	AUX
ap-5173	351	15	increased	increase	VERB
ap-5173	351	16	.	.	PUNCT
ap-5173	352	1	the	the	DET
ap-5173	352	2	behaviour	behaviour	NOUN
ap-5173	352	3	of	of	ADP
ap-5173	352	4	the	the	DET
ap-5173	352	5	measured	measure	VERB
ap-5173	352	6	data	datum	NOUN
ap-5173	352	7	from	from	ADP
ap-5173	352	8	the	the	DET
ap-5173	352	9	ucg	ucg	PROPN
ap-5173	352	10	experiment	experiment	NOUN
ap-5173	352	11	is	be	AUX
ap-5173	352	12	shown	show	VERB
ap-5173	352	13	in	in	ADP
ap-5173	352	14	figure	figure	NOUN
ap-5173	352	15	5	5	NUM
ap-5173	352	16	and	and	CCONJ
ap-5173	352	17	figure	figure	VERB
ap-5173	352	18	6	6	NUM
ap-5173	352	19	.	.	PUNCT
ap-5173	353	1	due	due	ADP
ap-5173	353	2	to	to	ADP
ap-5173	353	3	the	the	DET
ap-5173	353	4	fact	fact	NOUN
ap-5173	353	5	that	that	SCONJ
ap-5173	353	6	the	the	DET
ap-5173	353	7	highest	high	ADJ
ap-5173	353	8	temperature	temperature	NOUN
ap-5173	353	9	along	along	ADP
ap-5173	353	10	the	the	DET
ap-5173	353	11	gasification	gasification	NOUN
ap-5173	353	12	channel	channel	NOUN
ap-5173	353	13	is	be	AUX
ap-5173	353	14	considered	consider	VERB
ap-5173	353	15	to	to	PART
ap-5173	353	16	be	be	AUX
ap-5173	353	17	the	the	DET
ap-5173	353	18	temperature	temperature	NOUN
ap-5173	353	19	in	in	ADP
ap-5173	353	20	the	the	DET
ap-5173	353	21	oxidizing	oxidize	VERB
ap-5173	353	22	zone	zone	NOUN
ap-5173	353	23	weakly	weakly	ADV
ap-5173	353	24	correlates	correlate	VERB
ap-5173	353	25	with	with	ADP
ap-5173	353	26	the	the	DET
ap-5173	353	27	operating	operate	VERB
ap-5173	353	28	variables	variable	NOUN
ap-5173	353	29	(	(	PUNCT
ap-5173	353	30	i.e.	i.e.	X
ap-5173	353	31	,	,	PUNCT
ap-5173	353	32	flows	flow	NOUN
ap-5173	353	33	of	of	ADP
ap-5173	353	34	gasification	gasification	NOUN
ap-5173	353	35	agents	agent	NOUN
ap-5173	353	36	and	and	CCONJ
ap-5173	353	37	pressure	pressure	NOUN
ap-5173	353	38	)	)	PUNCT
ap-5173	353	39	and	and	CCONJ
ap-5173	353	40	it	it	PRON
ap-5173	353	41	has	have	VERB
ap-5173	353	42	some	some	DET
ap-5173	353	43	inertia	inertia	NOUN
ap-5173	353	44	,	,	PUNCT
ap-5173	353	45	the	the	DET
ap-5173	353	46	decision	decision	NOUN
ap-5173	353	47	to	to	PART
ap-5173	353	48	ensure	ensure	VERB
ap-5173	353	49	its	its	PRON
ap-5173	353	50	estimation	estimation	NOUN
ap-5173	353	51	from	from	ADP
ap-5173	353	52	the	the	DET
ap-5173	353	53	composition	composition	NOUN
ap-5173	353	54	of	of	ADP
ap-5173	353	55	syngas	syngas	NOUN
ap-5173	353	56	measured	measure	VERB
ap-5173	353	57	on	on	ADP
ap-5173	353	58	the	the	DET
ap-5173	353	59	outlet	outlet	NOUN
ap-5173	353	60	was	be	AUX
ap-5173	353	61	made	make	VERB
ap-5173	353	62	.	.	PUNCT
ap-5173	354	1	since	since	SCONJ
ap-5173	354	2	the	the	DET
ap-5173	354	3	composition	composition	NOUN
ap-5173	354	4	of	of	ADP
ap-5173	354	5	the	the	DET
ap-5173	354	6	syngas	syngas	NOUN
ap-5173	354	7	depends	depend	VERB
ap-5173	354	8	on	on	ADP
ap-5173	354	9	the	the	DET
ap-5173	354	10	temperature	temperature	NOUN
ap-5173	354	11	in	in	ADP
ap-5173	354	12	the	the	DET
ap-5173	354	13	oxidizing	oxidize	VERB
ap-5173	354	14	zone	zone	NOUN
ap-5173	354	15	,	,	PUNCT
ap-5173	354	16	there	there	PRON
ap-5173	354	17	is	be	VERB
ap-5173	354	18	an	an	DET
ap-5173	354	19	inverse	inverse	ADJ
ap-5173	354	20	way	way	NOUN
ap-5173	354	21	to	to	PART
ap-5173	354	22	determine	determine	VERB
ap-5173	354	23	the	the	DET
ap-5173	354	24	temperature	temperature	NOUN
ap-5173	354	25	that	that	PRON
ap-5173	354	26	corresponds	correspond	VERB
ap-5173	354	27	to	to	ADP
ap-5173	354	28	the	the	DET
ap-5173	354	29	measured	measured	ADJ
ap-5173	354	30	concentrations	concentration	NOUN
ap-5173	354	31	.	.	PUNCT
ap-5173	355	1	this	this	DET
ap-5173	355	2	decision	decision	NOUN
ap-5173	355	3	was	be	AUX
ap-5173	355	4	also	also	ADV
ap-5173	355	5	supported	support	VERB
ap-5173	355	6	by	by	ADP
ap-5173	355	7	the	the	DET
ap-5173	355	8	existence	existence	NOUN
ap-5173	355	9	of	of	ADP
ap-5173	355	10	a	a	DET
ap-5173	355	11	large	large	ADJ
ap-5173	355	12	number	number	NOUN
ap-5173	355	13	of	of	ADP
ap-5173	355	14	uncertainties	uncertainty	NOUN
ap-5173	355	15	that	that	PRON
ap-5173	355	16	occur	occur	VERB
ap-5173	355	17	in	in	ADP
ap-5173	355	18	the	the	DET
ap-5173	355	19	ucg	ucg	PROPN
ap-5173	355	20	.	.	PUNCT
ap-5173	356	1	the	the	DET
ap-5173	356	2	propagation	propagation	NOUN
ap-5173	356	3	of	of	ADP
ap-5173	356	4	the	the	DET
ap-5173	356	5	temperature	temperature	NOUN
ap-5173	356	6	in	in	ADP
ap-5173	356	7	the	the	DET
ap-5173	356	8	underground	underground	NOUN
ap-5173	356	9	is	be	AUX
ap-5173	356	10	not	not	PART
ap-5173	356	11	uniform	uniform	ADJ
ap-5173	356	12	,	,	PUNCT
ap-5173	356	13	i.e.	i.e.	X
ap-5173	356	14	,	,	PUNCT
ap-5173	356	15	there	there	PRON
ap-5173	356	16	are	be	VERB
ap-5173	356	17	different	different	ADJ
ap-5173	356	18	temperatures	temperature	NOUN
ap-5173	356	19	in	in	ADP
ap-5173	356	20	the	the	DET
ap-5173	356	21	coal	coal	NOUN
ap-5173	356	22	,	,	PUNCT
ap-5173	356	23	along	along	ADP
ap-5173	356	24	the	the	DET
ap-5173	356	25	gasification	gasification	NOUN
ap-5173	356	26	channel	channel	NOUN
ap-5173	356	27	,	,	PUNCT
ap-5173	356	28	in	in	ADP
ap-5173	356	29	the	the	DET
ap-5173	356	30	underburden	underburden	ADJ
ap-5173	356	31	and	and	CCONJ
ap-5173	356	32	overburden	overburden	ADJ
ap-5173	356	33	.	.	PUNCT
ap-5173	357	1	in	in	ADP
ap-5173	357	2	addition	addition	NOUN
ap-5173	357	3	,	,	PUNCT
ap-5173	357	4	there	there	PRON
ap-5173	357	5	is	be	VERB
ap-5173	357	6	a	a	DET
ap-5173	357	7	continual	continual	ADJ
ap-5173	357	8	shift	shift	NOUN
ap-5173	357	9	of	of	ADP
ap-5173	357	10	the	the	DET
ap-5173	357	11	combustion	combustion	NOUN
ap-5173	357	12	front	front	NOUN
ap-5173	357	13	.	.	PUNCT
ap-5173	358	1	due	due	ADP
ap-5173	358	2	to	to	ADP
ap-5173	358	3	the	the	DET
ap-5173	358	4	changing	change	VERB
ap-5173	358	5	conditions	condition	NOUN
ap-5173	358	6	in	in	ADP
ap-5173	358	7	the	the	DET
ap-5173	358	8	underground	underground	ADJ
ap-5173	358	9	gasifier	gasifier	NOUN
ap-5173	358	10	(	(	PUNCT
ap-5173	358	11	e.g.	e.g.	ADV
ap-5173	358	12	,	,	PUNCT
ap-5173	358	13	groundwater	groundwater	NOUN
ap-5173	358	14	,	,	PUNCT
ap-5173	358	15	cracks	crack	NOUN
ap-5173	358	16	,	,	PUNCT
ap-5173	358	17	fractures	fracture	NOUN
ap-5173	358	18	,	,	PUNCT
ap-5173	358	19	gas	gas	NOUN
ap-5173	358	20	leaks	leak	NOUN
ap-5173	358	21	and	and	CCONJ
ap-5173	358	22	shift	shift	NOUN
ap-5173	358	23	of	of	ADP
ap-5173	358	24	combustion	combustion	NOUN
ap-5173	358	25	front	front	NOUN
ap-5173	358	26	and	and	CCONJ
ap-5173	358	27	surface	surface	NOUN
ap-5173	358	28	subsidence	subsidence	NOUN
ap-5173	358	29	)	)	PUNCT
ap-5173	358	30	it	it	PRON
ap-5173	358	31	is	be	AUX
ap-5173	358	32	the	the	DET
ap-5173	358	33	process	process	NOUN
ap-5173	358	34	control	control	NOUN
ap-5173	358	35	in	in	ADP
ap-5173	358	36	conditions	condition	NOUN
ap-5173	358	37	of	of	ADP
ap-5173	358	38	330	330	NUM
ap-5173	358	39	vol	vol	NOUN
ap-5173	358	40	.	.	PUNCT
ap-5173	359	1	59	59	NUM
ap-5173	359	2	no	no	NOUN
ap-5173	359	3	.	.	PUNCT
ap-5173	360	1	4/2019	4/2019	NUM
ap-5173	360	2	a	a	DET
ap-5173	360	3	comparative	comparative	ADJ
ap-5173	360	4	study	study	NOUN
ap-5173	360	5	of	of	ADP
ap-5173	360	6	data	data	NOUN
ap-5173	360	7	-	-	PUNCT
ap-5173	360	8	driven	drive	VERB
ap-5173	360	9	modeling	modeling	NOUN
ap-5173	360	10	methods	method	NOUN
ap-5173	360	11	.	.	PUNCT
ap-5173	360	12	.	.	PUNCT
ap-5173	360	13	.	.	PUNCT
ap-5173	361	1	�	�	PROPN
ap-5173	361	2	�	�	PROPN
ap-5173	361	3	�	�	PROPN
ap-5173	361	4	�	�	PROPN
ap-5173	361	5	�	�	PROPN
ap-5173	361	6	�	�	PROPN
ap-5173	361	7	�	�	PROPN
ap-5173	361	8	�	�	PROPN
ap-5173	361	9	�	�	PROPN
ap-5173	361	10	�	�	PROPN
ap-5173	361	11	�	�	PROPN
ap-5173	361	12	�	�	PROPN
ap-5173	361	13	�	�	PROPN
ap-5173	361	14	�	�	PROPN
ap-5173	361	15	�	�	PROPN
ap-5173	361	16	�	�	PROPN
ap-5173	361	17	�	�	PROPN
ap-5173	361	18	�	�	PROPN
ap-5173	361	19	�	�	PROPN
ap-5173	361	20	�	�	PROPN
ap-5173	361	21	�	�	PROPN
ap-5173	361	22	�	�	PROPN
ap-5173	361	23	�	�	PROPN
ap-5173	361	24	�	�	PROPN
ap-5173	361	25	�	�	PROPN
ap-5173	361	26	�	�	PROPN
ap-5173	361	27	�	�	PROPN
ap-5173	361	28	�	�	PROPN
ap-5173	361	29	�	�	PROPN
ap-5173	361	30	�	�	PROPN
ap-5173	361	31	�	�	PROPN
ap-5173	361	32	�	�	PROPN
ap-5173	361	33	�	�	PROPN
ap-5173	361	34	�	�	PROPN
ap-5173	361	35	�	�	PROPN
ap-5173	361	36	�	�	PROPN
ap-5173	361	37	�	�	PROPN
ap-5173	361	38	�	�	PROPN
ap-5173	361	39	�	�	PROPN
ap-5173	361	40	�	�	PROPN
ap-5173	361	41	�	�	PROPN
ap-5173	361	42	�	�	PROPN
ap-5173	361	43	�	�	PROPN
ap-5173	361	44	�	�	PROPN
ap-5173	361	45	�	�	PROPN
ap-5173	361	46	�	�	PROPN
ap-5173	361	47	�	�	PROPN
ap-5173	361	48	�	�	PROPN
ap-5173	361	49	�	�	PROPN
ap-5173	361	50	�	�	PROPN
ap-5173	361	51	�	�	PROPN
ap-5173	361	52	�	�	PROPN
ap-5173	361	53	�	�	PROPN
ap-5173	361	54	�	�	PROPN
ap-5173	361	55	�	�	PROPN
ap-5173	361	56	�	�	PROPN
ap-5173	361	57	�	�	PROPN
ap-5173	361	58	�	�	PROPN
ap-5173	361	59	�	�	PROPN
ap-5173	361	60	�	�	PROPN
ap-5173	361	61	�	�	PROPN
ap-5173	361	62	�	�	PROPN
ap-5173	361	63	�	�	PROPN
ap-5173	361	64	�	�	PROPN
ap-5173	361	65	�	�	PROPN
ap-5173	361	66	�	�	PROPN
ap-5173	361	67	�	�	PROPN
ap-5173	361	68	�	�	PROPN
ap-5173	361	69	�	�	PROPN
ap-5173	361	70	�	�	PROPN
ap-5173	361	71	�	�	PROPN
ap-5173	361	72	�	�	PROPN
ap-5173	361	73	�	�	PROPN
ap-5173	361	74	�	�	PROPN
ap-5173	361	75	�	�	PROPN
ap-5173	361	76	�	�	PROPN
ap-5173	361	77	�	�	PROPN
ap-5173	361	78	�	�	PROPN
ap-5173	361	79	�	�	PROPN
ap-5173	361	80	�	�	PROPN
ap-5173	361	81	�	�	PROPN
ap-5173	361	82	�	�	PROPN
ap-5173	361	83	�	�	PROPN
ap-5173	361	84	�	�	PROPN
ap-5173	361	85	�	�	PROPN
ap-5173	361	86	�	�	PROPN
ap-5173	361	87	�	�	PROPN
ap-5173	361	88	�	�	PROPN
ap-5173	361	89	�	�	PROPN
ap-5173	361	90	�	�	PROPN
ap-5173	361	91	�	�	PROPN
ap-5173	361	92	�	�	PROPN
ap-5173	361	93	�	�	PROPN
ap-5173	361	94	�	�	PROPN
ap-5173	361	95	�	�	PROPN
ap-5173	361	96	�	�	PROPN
ap-5173	361	97	�	�	PROPN
ap-5173	361	98	�	�	PROPN
ap-5173	361	99	�	�	PROPN
ap-5173	361	100	�	�	PROPN
ap-5173	361	101	�	�	PROPN
ap-5173	361	102	�	�	PROPN
ap-5173	361	103	�	�	PROPN
ap-5173	361	104	�	�	PROPN
ap-5173	361	105	�	�	PROPN
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ap-5173	361	2874	�	�	PROPN
ap-5173	361	2875	�	�	PROPN
ap-5173	361	2876	�	�	PROPN
ap-5173	361	2877	�	�	PROPN
ap-5173	361	2878	�	�	PROPN
ap-5173	361	2879	�	�	PROPN
ap-5173	361	2880	�	�	PROPN
ap-5173	361	2881	�	�	PROPN
ap-5173	361	2882	�	�	PROPN
ap-5173	361	2883	�	�	PROPN
ap-5173	361	2884	�	�	PROPN
ap-5173	361	2885	�	�	PROPN
ap-5173	361	2886	�	�	PROPN
ap-5173	361	2887	�	�	PROPN
ap-5173	361	2888	�	�	PROPN
ap-5173	361	2889	�	�	PROPN
ap-5173	361	2890	�	�	PROPN
ap-5173	361	2891	�	�	PROPN
ap-5173	361	2892	�	�	PROPN
ap-5173	361	2893	�	�	PROPN
ap-5173	361	2894	�	�	PROPN
ap-5173	361	2895	�	�	PROPN
ap-5173	361	2896	�	�	PROPN
ap-5173	361	2897	�	�	PROPN
ap-5173	361	2898	�	�	PROPN
ap-5173	361	2899	�	�	PROPN
ap-5173	361	2900	�	�	PROPN
ap-5173	361	2901	�	�	PROPN
ap-5173	361	2902	�	�	PROPN
ap-5173	361	2903	�	�	PROPN
ap-5173	361	2904	�	�	PROPN
ap-5173	361	2905	�	�	PROPN
ap-5173	361	2906	�	�	PROPN
ap-5173	361	2907	�	�	PROPN
ap-5173	361	2908	�	�	PROPN
ap-5173	361	2909	�	�	PROPN
ap-5173	361	2910	�	�	PROPN
ap-5173	361	2911	�	�	PROPN
ap-5173	361	2912	�	�	PROPN
ap-5173	361	2913	�	�	PROPN
ap-5173	361	2914	�	�	PROPN
ap-5173	361	2915	�	�	PROPN
ap-5173	361	2916	�	�	PROPN
ap-5173	361	2917	�	�	PROPN
ap-5173	361	2918	�	�	PROPN
ap-5173	361	2919	�	�	PROPN
ap-5173	361	2920	�	�	PROPN
ap-5173	361	2921	�	�	PROPN
ap-5173	361	2922	�	�	PROPN
ap-5173	361	2923	�	�	PROPN
ap-5173	361	2924	�	�	PROPN
ap-5173	361	2925	�	�	PROPN
ap-5173	361	2926	�	�	PROPN
ap-5173	361	2927	�	�	PROPN
ap-5173	361	2928	�	�	PROPN
ap-5173	361	2929	�	�	PROPN
ap-5173	361	2930	�	�	PROPN
ap-5173	361	2931	�	�	PROPN
ap-5173	361	2932	�	�	PROPN
ap-5173	361	2933	�	�	PROPN
ap-5173	361	2934	�	�	PROPN
ap-5173	361	2935	�	�	PROPN
ap-5173	361	2936	�	�	PROPN
ap-5173	361	2937	�	�	PROPN
ap-5173	361	2938	�	�	PROPN
ap-5173	361	2939	�	�	PROPN
ap-5173	361	2940	!	!	PUNCT
ap-5173	361	2941	�	�	PROPN
ap-5173	361	2942	�	�	PROPN
ap-5173	361	2943	�	�	PROPN
ap-5173	361	2944	�	�	PROPN
ap-5173	361	2945	�	�	PROPN
ap-5173	361	2946	�	�	PROPN
ap-5173	361	2947	�	�	PROPN
ap-5173	361	2948	�	�	PROPN
ap-5173	361	2949	figure	figure	VERB
ap-5173	361	2950	3	3	NUM
ap-5173	361	2951	.	.	PUNCT
ap-5173	361	2952	scheme	scheme	NOUN
ap-5173	361	2953	of	of	ADP
ap-5173	361	2954	gasification	gasification	NOUN
ap-5173	361	2955	equipment	equipment	NOUN
ap-5173	361	2956	with	with	ADP
ap-5173	361	2957	one	one	NUM
ap-5173	361	2958	ex	ex	ADJ
ap-5173	361	2959	-	-	ADJ
ap-5173	361	2960	situ	situ	ADJ
ap-5173	361	2961	reactor	reactor	NOUN
ap-5173	361	2962	(	(	PUNCT
ap-5173	361	2963	modified	modify	VERB
ap-5173	361	2964	after	after	ADP
ap-5173	361	2965	[	[	X
ap-5173	361	2966	41	41	NUM
ap-5173	361	2967	]	]	PUNCT
ap-5173	361	2968	)	)	PUNCT
ap-5173	361	2969	.	.	PUNCT
ap-5173	362	1	331	331	NUM
ap-5173	362	2	j.	j.	PROPN
ap-5173	362	3	kačur	kačur	PROPN
ap-5173	362	4	,	,	PUNCT
ap-5173	362	5	m.	m.	PROPN
ap-5173	362	6	durdán	durdán	PROPN
ap-5173	362	7	,	,	PUNCT
ap-5173	362	8	m.	m.	NOUN
ap-5173	362	9	laciak	laciak	NOUN
ap-5173	362	10	,	,	PUNCT
ap-5173	362	11	p.	p.	PROPN
ap-5173	362	12	flegner	flegner	PROPN
ap-5173	362	13	acta	acta	PROPN
ap-5173	362	14	polytechnica	polytechnica	PROPN
ap-5173	362	15	figure	figure	NOUN
ap-5173	362	16	4	4	NUM
ap-5173	362	17	.	.	PUNCT
ap-5173	363	1	the	the	DET
ap-5173	363	2	principle	principle	NOUN
ap-5173	363	3	of	of	ADP
ap-5173	363	4	soft	soft	ADJ
ap-5173	363	5	-	-	PUNCT
ap-5173	363	6	sensing	sensing	NOUN
ap-5173	363	7	in	in	ADP
ap-5173	363	8	ucg	ucg	PROPN
ap-5173	363	9	.	.	PUNCT
ap-5173	364	1	332	332	NUM
ap-5173	364	2	vol	vol	NOUN
ap-5173	364	3	.	.	PUNCT
ap-5173	365	1	59	59	NUM
ap-5173	365	2	no	no	NOUN
ap-5173	365	3	.	.	PUNCT
ap-5173	366	1	4/2019	4/2019	NUM
ap-5173	366	2	a	a	DET
ap-5173	366	3	comparative	comparative	ADJ
ap-5173	366	4	study	study	NOUN
ap-5173	366	5	of	of	ADP
ap-5173	366	6	data	data	NOUN
ap-5173	366	7	-	-	PUNCT
ap-5173	366	8	driven	drive	VERB
ap-5173	366	9	modeling	modeling	NOUN
ap-5173	366	10	methods	method	NOUN
ap-5173	366	11	.	.	PUNCT
ap-5173	366	12	.	.	PUNCT
ap-5173	366	13	.	.	PUNCT
ap-5173	367	1	figure	figure	NOUN
ap-5173	367	2	5	5	NUM
ap-5173	367	3	.	.	NOUN
ap-5173	367	4	time	time	NOUN
ap-5173	367	5	series	series	PROPN
ap-5173	367	6	of	of	ADP
ap-5173	367	7	measured	measure	VERB
ap-5173	367	8	syngas	syngas	NOUN
ap-5173	367	9	composition	composition	NOUN
ap-5173	367	10	divided	divide	VERB
ap-5173	367	11	into	into	ADP
ap-5173	367	12	training	training	NOUN
ap-5173	367	13	and	and	CCONJ
ap-5173	367	14	measured	measure	VERB
ap-5173	367	15	data	datum	NOUN
ap-5173	367	16	set	set	VERB
ap-5173	367	17	.	.	PUNCT
ap-5173	368	1	figure	figure	NOUN
ap-5173	368	2	6	6	NUM
ap-5173	368	3	.	.	NOUN
ap-5173	368	4	time	time	NOUN
ap-5173	368	5	series	series	PROPN
ap-5173	368	6	of	of	ADP
ap-5173	368	7	measured	measure	VERB
ap-5173	368	8	control	control	NOUN
ap-5173	368	9	variables	variable	NOUN
ap-5173	368	10	divided	divide	VERB
ap-5173	368	11	into	into	ADP
ap-5173	368	12	training	training	NOUN
ap-5173	368	13	and	and	CCONJ
ap-5173	368	14	measured	measure	VERB
ap-5173	368	15	data	datum	NOUN
ap-5173	368	16	set	set	VERB
ap-5173	368	17	.	.	PUNCT
ap-5173	369	1	333	333	NUM
ap-5173	369	2	j.	j.	PROPN
ap-5173	369	3	kačur	kačur	PROPN
ap-5173	369	4	,	,	PUNCT
ap-5173	369	5	m.	m.	PROPN
ap-5173	369	6	durdán	durdán	PROPN
ap-5173	369	7	,	,	PUNCT
ap-5173	369	8	m.	m.	NOUN
ap-5173	369	9	laciak	laciak	NOUN
ap-5173	369	10	,	,	PUNCT
ap-5173	369	11	p.	p.	PROPN
ap-5173	369	12	flegner	flegner	PROPN
ap-5173	369	13	acta	acta	PROPN
ap-5173	369	14	polytechnica	polytechnica	PROPN
ap-5173	369	15	target	target	PROPN
ap-5173	369	16	(	(	PUNCT
ap-5173	369	17	output	output	NOUN
ap-5173	369	18	process	process	NOUN
ap-5173	369	19	variable	variable	ADJ
ap-5173	369	20	y	y	PROPN
ap-5173	369	21	)	)	PUNCT
ap-5173	369	22	observation	observation	NOUN
ap-5173	369	23	(	(	PUNCT
ap-5173	369	24	input	input	NOUN
ap-5173	369	25	process	process	NOUN
ap-5173	369	26	variable	variable	ADJ
ap-5173	369	27	x	x	NOUN
ap-5173	369	28	)	)	PUNCT
ap-5173	369	29	calorific	calorific	ADJ
ap-5173	369	30	value	value	NOUN
ap-5173	369	31	of	of	ADP
ap-5173	369	32	syngas	syngas	NOUN
ap-5173	369	33	(	(	PUNCT
ap-5173	369	34	mj	mj	NOUN
ap-5173	369	35	/	/	SYM
ap-5173	369	36	nm3	nm3	NOUN
ap-5173	369	37	)	)	PUNCT
ap-5173	369	38	x1	x1	PRON
ap-5173	369	39	air	air	NOUN
ap-5173	369	40	flow	flow	NOUN
ap-5173	369	41	(	(	PUNCT
ap-5173	369	42	nm3	nm3	NOUN
ap-5173	369	43	/	/	SYM
ap-5173	369	44	h	h	NOUN
ap-5173	369	45	)	)	PUNCT
ap-5173	369	46	x2	x2	PROPN
ap-5173	369	47	oxygen	oxygen	NOUN
ap-5173	369	48	flow	flow	NOUN
ap-5173	369	49	(	(	PUNCT
ap-5173	369	50	nm3	nm3	NOUN
ap-5173	369	51	/	/	SYM
ap-5173	369	52	h	h	NOUN
ap-5173	369	53	)	)	PUNCT
ap-5173	369	54	x3	x3	ADJ
ap-5173	369	55	pressure	pressure	NOUN
ap-5173	369	56	on	on	ADP
ap-5173	369	57	outlet	outlet	NOUN
ap-5173	369	58	(	(	PUNCT
ap-5173	369	59	i.e.	i.e.	X
ap-5173	369	60	,	,	PUNCT
ap-5173	369	61	underpressure	underpressure	ADJ
ap-5173	369	62	/	/	SYM
ap-5173	369	63	overpressure	overpressure	NOUN
ap-5173	369	64	)	)	PUNCT
ap-5173	369	65	(	(	PUNCT
ap-5173	369	66	pa	pa	NOUN
ap-5173	369	67	)	)	PUNCT
ap-5173	369	68	underground	underground	ADJ
ap-5173	369	69	temperature	temperature	NOUN
ap-5173	369	70	(	(	PUNCT
ap-5173	369	71	◦	◦	NOUN
ap-5173	369	72	c	c	NOUN
ap-5173	369	73	)	)	PUNCT
ap-5173	369	74	x1	x1	PRON
ap-5173	369	75	concentration	concentration	NOUN
ap-5173	369	76	of	of	ADP
ap-5173	369	77	co	co	NOUN
ap-5173	369	78	in	in	ADP
ap-5173	369	79	syngas	syngas	NOUN
ap-5173	369	80	(	(	PUNCT
ap-5173	369	81	%	%	INTJ
ap-5173	369	82	)	)	PUNCT
ap-5173	370	1	x2	x2	ADJ
ap-5173	370	2	concentration	concentration	NOUN
ap-5173	370	3	of	of	ADP
ap-5173	370	4	co2	co2	NOUN
ap-5173	370	5	in	in	ADP
ap-5173	370	6	syngas	syngas	NOUN
ap-5173	370	7	(	(	PUNCT
ap-5173	370	8	%	%	INTJ
ap-5173	370	9	)	)	PUNCT
ap-5173	370	10	x3	x3	ADJ
ap-5173	370	11	concentration	concentration	NOUN
ap-5173	370	12	of	of	ADP
ap-5173	370	13	h2	h2	NOUN
ap-5173	370	14	in	in	ADP
ap-5173	370	15	syngas	syngas	NOUN
ap-5173	370	16	(	(	PUNCT
ap-5173	370	17	%	%	INTJ
ap-5173	370	18	)	)	PUNCT
ap-5173	371	1	x4	x4	ADJ
ap-5173	371	2	concentration	concentration	NOUN
ap-5173	371	3	of	of	ADP
ap-5173	371	4	ch4	ch4	NOUN
ap-5173	371	5	in	in	ADP
ap-5173	371	6	syngas	syngas	NOUN
ap-5173	371	7	(	(	PUNCT
ap-5173	371	8	%	%	INTJ
ap-5173	371	9	)	)	PUNCT
ap-5173	371	10	x5	x5	NOUN
ap-5173	371	11	concentration	concentration	NOUN
ap-5173	371	12	of	of	ADP
ap-5173	371	13	o2	o2	PROPN
ap-5173	371	14	in	in	ADP
ap-5173	371	15	syngas	syngas	NOUN
ap-5173	371	16	(	(	PUNCT
ap-5173	371	17	%	%	INTJ
ap-5173	371	18	)	)	PUNCT
ap-5173	371	19	table	table	NOUN
ap-5173	371	20	2	2	NUM
ap-5173	371	21	.	.	PUNCT
ap-5173	371	22	observations	observation	NOUN
ap-5173	371	23	and	and	CCONJ
ap-5173	371	24	targets	target	NOUN
ap-5173	371	25	used	use	VERB
ap-5173	371	26	in	in	ADP
ap-5173	371	27	modeling	modeling	NOUN
ap-5173	371	28	.	.	PUNCT
ap-5173	372	1	uncertainty	uncertainty	NOUN
ap-5173	372	2	.	.	PUNCT
ap-5173	373	1	in	in	ADP
ap-5173	373	2	such	such	ADJ
ap-5173	373	3	conditions	condition	NOUN
ap-5173	373	4	,	,	PUNCT
ap-5173	373	5	the	the	DET
ap-5173	373	6	process	process	NOUN
ap-5173	373	7	of	of	ADP
ap-5173	373	8	measuring	measure	VERB
ap-5173	373	9	the	the	DET
ap-5173	373	10	process	process	NOUN
ap-5173	373	11	variables	variable	NOUN
ap-5173	373	12	,	,	PUNCT
ap-5173	373	13	identification	identification	NOUN
ap-5173	373	14	,	,	PUNCT
ap-5173	373	15	and	and	CCONJ
ap-5173	373	16	finally	finally	ADV
ap-5173	373	17	automated	automate	VERB
ap-5173	373	18	control	control	NOUN
ap-5173	373	19	is	be	AUX
ap-5173	373	20	more	more	ADV
ap-5173	373	21	complicated	complicated	ADJ
ap-5173	373	22	.	.	PUNCT
ap-5173	374	1	partly	partly	ADV
ap-5173	374	2	,	,	PUNCT
ap-5173	374	3	these	these	DET
ap-5173	374	4	uncertainties	uncertainty	NOUN
ap-5173	374	5	can	can	AUX
ap-5173	374	6	be	be	AUX
ap-5173	374	7	reduced	reduce	VERB
ap-5173	374	8	by	by	ADP
ap-5173	374	9	the	the	DET
ap-5173	374	10	more	more	ADV
ap-5173	374	11	detailed	detailed	ADJ
ap-5173	374	12	geological	geological	ADJ
ap-5173	374	13	survey	survey	NOUN
ap-5173	374	14	.	.	PUNCT
ap-5173	375	1	but	but	CCONJ
ap-5173	375	2	even	even	ADV
ap-5173	375	3	this	this	PRON
ap-5173	375	4	does	do	AUX
ap-5173	375	5	not	not	PART
ap-5173	375	6	guarantee	guarantee	VERB
ap-5173	375	7	the	the	DET
ap-5173	375	8	elimination	elimination	NOUN
ap-5173	375	9	of	of	ADP
ap-5173	375	10	such	such	ADJ
ap-5173	375	11	uncertainties	uncertainty	NOUN
ap-5173	375	12	,	,	PUNCT
ap-5173	375	13	as	as	SCONJ
ap-5173	375	14	evidenced	evidence	VERB
ap-5173	375	15	by	by	ADP
ap-5173	375	16	long	long	ADJ
ap-5173	375	17	-	-	PUNCT
ap-5173	375	18	term	term	NOUN
ap-5173	375	19	experience	experience	NOUN
ap-5173	375	20	in	in	ADP
ap-5173	375	21	the	the	DET
ap-5173	375	22	traditional	traditional	ADJ
ap-5173	375	23	coal	coal	NOUN
ap-5173	375	24	mining	mining	NOUN
ap-5173	375	25	technology	technology	NOUN
ap-5173	375	26	.	.	PUNCT
ap-5173	376	1	predictive	predictive	ADJ
ap-5173	376	2	methods	method	NOUN
ap-5173	376	3	were	be	AUX
ap-5173	376	4	evaluated	evaluate	VERB
ap-5173	376	5	using	use	VERB
ap-5173	376	6	statistical	statistical	ADJ
ap-5173	376	7	approaches	approach	NOUN
ap-5173	376	8	and	and	CCONJ
ap-5173	376	9	calculating	calculate	VERB
ap-5173	376	10	the	the	DET
ap-5173	376	11	performance	performance	NOUN
ap-5173	376	12	index	index	NOUN
ap-5173	376	13	.	.	PUNCT
ap-5173	377	1	the	the	DET
ap-5173	377	2	following	follow	VERB
ap-5173	377	3	indicators	indicator	NOUN
ap-5173	377	4	were	be	AUX
ap-5173	377	5	used	use	VERB
ap-5173	377	6	to	to	PART
ap-5173	377	7	compare	compare	VERB
ap-5173	377	8	the	the	DET
ap-5173	377	9	performance	performance	NOUN
ap-5173	377	10	of	of	ADP
ap-5173	377	11	the	the	DET
ap-5173	377	12	individual	individual	ADJ
ap-5173	377	13	prediction	prediction	NOUN
ap-5173	377	14	methods	method	NOUN
ap-5173	377	15	.	.	PUNCT
ap-5173	378	1	variable	variable	ADJ
ap-5173	378	2	y	y	PROPN
ap-5173	378	3	represents	represent	VERB
ap-5173	378	4	the	the	DET
ap-5173	378	5	measured	measured	ADJ
ap-5173	378	6	target	target	NOUN
ap-5173	378	7	,	,	PUNCT
ap-5173	378	8	and	and	CCONJ
ap-5173	378	9	y	y	PROPN
ap-5173	378	10	represents	represent	VERB
ap-5173	378	11	its	its	PRON
ap-5173	378	12	prediction	prediction	NOUN
ap-5173	378	13	.	.	PUNCT
ap-5173	379	1	y	y	PROPN
ap-5173	379	2	is	be	AUX
ap-5173	379	3	the	the	DET
ap-5173	379	4	average	average	NOUN
ap-5173	379	5	of	of	ADP
ap-5173	379	6	target	target	NOUN
ap-5173	379	7	values	value	NOUN
ap-5173	379	8	yi	yi	PROPN
ap-5173	379	9	and	and	CCONJ
ap-5173	379	10	y	y	PROPN
ap-5173	379	11	is	be	AUX
ap-5173	379	12	the	the	DET
ap-5173	379	13	average	average	NOUN
ap-5173	379	14	of	of	ADP
ap-5173	379	15	predicted	predict	VERB
ap-5173	379	16	values	value	NOUN
ap-5173	379	17	yi	yi	PROPN
ap-5173	379	18	(	(	PUNCT
ap-5173	379	19	i	i	NOUN
ap-5173	379	20	=	=	NOUN
ap-5173	379	21	1	1	NUM
ap-5173	379	22	,	,	PUNCT
ap-5173	379	23	...	...	PUNCT
ap-5173	379	24	,	,	PUNCT
ap-5173	379	25	n	n	CCONJ
ap-5173	379	26	)	)	PUNCT
ap-5173	379	27	.	.	PUNCT
ap-5173	380	1	n	n	PROPN
ap-5173	380	2	represents	represent	VERB
ap-5173	380	3	the	the	DET
ap-5173	380	4	number	number	NOUN
ap-5173	380	5	of	of	ADP
ap-5173	380	6	patterns	pattern	NOUN
ap-5173	380	7	in	in	ADP
ap-5173	380	8	the	the	DET
ap-5173	380	9	training	training	NOUN
ap-5173	380	10	or	or	CCONJ
ap-5173	380	11	testing	testing	NOUN
ap-5173	380	12	set	set	VERB
ap-5173	380	13	.	.	PUNCT
ap-5173	381	1	•	•	NUM
ap-5173	381	2	coefficient	coefficient	NOUN
ap-5173	381	3	of	of	ADP
ap-5173	381	4	correlation	correlation	NOUN
ap-5173	381	5	(	(	PUNCT
ap-5173	381	6	ryy	ryy	PROPN
ap-5173	381	7	)	)	PUNCT
ap-5173	381	8	the	the	DET
ap-5173	381	9	coefficient	coefficient	NOUN
ap-5173	381	10	expresses	express	VERB
ap-5173	381	11	the	the	DET
ap-5173	381	12	force	force	NOUN
ap-5173	381	13	of	of	ADP
ap-5173	381	14	the	the	DET
ap-5173	381	15	linear	linear	PROPN
ap-5173	381	16	relationship	relationship	NOUN
ap-5173	381	17	between	between	ADP
ap-5173	381	18	two	two	NUM
ap-5173	381	19	variables	variable	NOUN
ap-5173	381	20	.	.	PUNCT
ap-5173	382	1	determines	determine	VERB
ap-5173	382	2	the	the	DET
ap-5173	382	3	degree	degree	NOUN
ap-5173	382	4	of	of	ADP
ap-5173	382	5	dependence	dependence	NOUN
ap-5173	382	6	of	of	ADP
ap-5173	382	7	two	two	NUM
ap-5173	382	8	variables	variable	NOUN
ap-5173	382	9	and	and	CCONJ
ap-5173	382	10	acquires	acquire	VERB
ap-5173	382	11	the	the	DET
ap-5173	382	12	value	value	NOUN
ap-5173	382	13	from	from	ADP
ap-5173	382	14	the	the	DET
ap-5173	382	15	interval	interval	NOUN
ap-5173	382	16	(	(	PUNCT
ap-5173	382	17	-1	-1	ADJ
ap-5173	382	18	;	;	PUNCT
ap-5173	382	19	1	1	NUM
ap-5173	382	20	)	)	PUNCT
ap-5173	382	21	.	.	PUNCT
ap-5173	383	1	its	its	PRON
ap-5173	383	2	definition	definition	NOUN
ap-5173	383	3	is	be	AUX
ap-5173	383	4	based	base	VERB
ap-5173	383	5	on	on	ADP
ap-5173	383	6	the	the	DET
ap-5173	383	7	consideration	consideration	NOUN
ap-5173	383	8	of	of	ADP
ap-5173	383	9	the	the	DET
ap-5173	383	10	sum	sum	NOUN
ap-5173	383	11	of	of	ADP
ap-5173	383	12	deviations	deviation	NOUN
ap-5173	383	13	of	of	ADP
ap-5173	383	14	individual	individual	ADJ
ap-5173	383	15	values	value	NOUN
ap-5173	383	16	of	of	ADP
ap-5173	383	17	two	two	NUM
ap-5173	383	18	correlated	correlate	VERB
ap-5173	383	19	characters	character	NOUN
ap-5173	383	20	and	and	CCONJ
ap-5173	383	21	their	their	PRON
ap-5173	383	22	averages	average	NOUN
ap-5173	383	23	.	.	PUNCT
ap-5173	384	1	several	several	ADJ
ap-5173	384	2	equations	equation	NOUN
ap-5173	384	3	are	be	AUX
ap-5173	384	4	used	use	VERB
ap-5173	384	5	to	to	PART
ap-5173	384	6	calculate	calculate	VERB
ap-5173	384	7	the	the	DET
ap-5173	384	8	correlation	correlation	NOUN
ap-5173	384	9	coefficient	coefficient	NOUN
ap-5173	384	10	,	,	PUNCT
ap-5173	384	11	but	but	CCONJ
ap-5173	384	12	the	the	DET
ap-5173	384	13	following	follow	VERB
ap-5173	384	14	are	be	AUX
ap-5173	384	15	used	use	VERB
ap-5173	384	16	in	in	ADP
ap-5173	384	17	this	this	DET
ap-5173	384	18	work	work	NOUN
ap-5173	384	19	:	:	PUNCT
ap-5173	384	20	ryy	ryy	NOUN
ap-5173	384	21	=	=	SYM
ap-5173	384	22	∑n	∑n	PROPN
ap-5173	384	23	i=1(yi	i=1(yi	NOUN
ap-5173	384	24	−	−	PROPN
ap-5173	384	25	y	y	PROPN
ap-5173	384	26	)	)	PUNCT
ap-5173	384	27	(	(	PUNCT
ap-5173	384	28	yi	yi	NOUN
ap-5173	384	29	−	−	PROPN
ap-5173	384	30	y)√∑n	y)√∑n	PROPN
ap-5173	384	31	i=1	i=1	PROPN
ap-5173	385	1	(	(	PUNCT
ap-5173	385	2	yi	yi	NOUN
ap-5173	385	3	−	−	PROPN
ap-5173	385	4	y	y	PROPN
ap-5173	385	5	)	)	PUNCT
ap-5173	385	6	2	2	NUM
ap-5173	385	7	√∑n	√∑n	NOUN
ap-5173	385	8	i=1	i=1	PROPN
ap-5173	385	9	(	(	PUNCT
ap-5173	385	10	yi	yi	NOUN
ap-5173	385	11	−	−	NOUN
ap-5173	385	12	y)2	y)2	NOUN
ap-5173	385	13	(	(	PUNCT
ap-5173	385	14	20	20	NUM
ap-5173	385	15	)	)	PUNCT
ap-5173	385	16	if	if	SCONJ
ap-5173	385	17	ryy	ryy	NOUN
ap-5173	385	18	=	=	SYM
ap-5173	385	19	1	1	NUM
ap-5173	385	20	,	,	PUNCT
ap-5173	385	21	the	the	DET
ap-5173	385	22	dependence	dependence	NOUN
ap-5173	385	23	is	be	AUX
ap-5173	385	24	completely	completely	ADV
ap-5173	385	25	direct	direct	ADJ
ap-5173	385	26	;	;	PUNCT
ap-5173	385	27	ryy	ryy	NOUN
ap-5173	385	28	=	=	SYM
ap-5173	385	29	−1	−1	NOUN
ap-5173	385	30	i.e.	i.e.	X
ap-5173	385	31	,	,	PUNCT
ap-5173	385	32	the	the	DET
ap-5173	385	33	correlation	correlation	NOUN
ap-5173	385	34	is	be	AUX
ap-5173	385	35	completely	completely	ADV
ap-5173	385	36	indirect	indirect	ADJ
ap-5173	385	37	;	;	PUNCT
ap-5173	385	38	if	if	SCONJ
ap-5173	385	39	ryy	ryy	NOUN
ap-5173	385	40	=	=	SYM
ap-5173	385	41	0	0	NUM
ap-5173	385	42	,	,	PUNCT
ap-5173	385	43	between	between	ADP
ap-5173	385	44	the	the	DET
ap-5173	385	45	variables	variable	NOUN
ap-5173	385	46	is	be	AUX
ap-5173	385	47	independence	independence	NOUN
ap-5173	385	48	.	.	PUNCT
ap-5173	386	1	more	more	ADV
ap-5173	386	2	precisely	precisely	ADV
ap-5173	386	3	:	:	PUNCT
ap-5173	386	4	ryy	ryy	VERB
ap-5173	386	5	<	<	X
ap-5173	386	6	0.3	0.3	NUM
ap-5173	386	7	low	low	ADJ
ap-5173	386	8	tightness	tightness	NOUN
ap-5173	386	9	;	;	PUNCT
ap-5173	386	10	0.3	0.3	NUM
ap-5173	386	11	≤	≤	NOUN
ap-5173	386	12	ryy	ryy	VERB
ap-5173	386	13	<	<	X
ap-5173	386	14	0.5	0.5	NUM
ap-5173	386	15	slight	slight	ADJ
ap-5173	386	16	tightness	tightness	NOUN
ap-5173	386	17	;	;	PUNCT
ap-5173	386	18	0.5	0.5	NUM
ap-5173	386	19	≤	≤	NOUN
ap-5173	386	20	ryy	ryy	VERB
ap-5173	386	21	<	<	X
ap-5173	386	22	0.7	0.7	NUM
ap-5173	386	23	significant	significant	ADJ
ap-5173	386	24	tightness	tightness	NOUN
ap-5173	386	25	;	;	PUNCT
ap-5173	386	26	0.7	0.7	NUM
ap-5173	386	27	≤	≤	NOUN
ap-5173	386	28	ryy	ryy	VERB
ap-5173	386	29	<	<	X
ap-5173	386	30	0.9	0.9	NUM
ap-5173	386	31	high	high	ADJ
ap-5173	386	32	tightness	tightness	NOUN
ap-5173	386	33	;	;	PUNCT
ap-5173	386	34	0.9	0.9	NUM
ap-5173	386	35	≤	≤	NOUN
ap-5173	386	36	ryy	ryy	VERB
ap-5173	386	37	very	very	ADV
ap-5173	386	38	high	high	ADJ
ap-5173	386	39	tightness	tightness	NOUN
ap-5173	386	40	.	.	PUNCT
ap-5173	387	1	•	•	NOUN
ap-5173	387	2	coefficient	coefficient	NOUN
ap-5173	387	3	of	of	ADP
ap-5173	387	4	determination	determination	NOUN
ap-5173	387	5	(	(	PUNCT
ap-5173	387	6	r2	r2	PROPN
ap-5173	387	7	yy	yy	PROPN
ap-5173	387	8	)	)	PUNCT
ap-5173	388	1	it	it	PRON
ap-5173	388	2	expresses	express	VERB
ap-5173	388	3	the	the	DET
ap-5173	388	4	degree	degree	NOUN
ap-5173	388	5	of	of	ADP
ap-5173	388	6	the	the	DET
ap-5173	388	7	causal	causal	ADJ
ap-5173	388	8	dependence	dependence	NOUN
ap-5173	388	9	of	of	ADP
ap-5173	388	10	two	two	NUM
ap-5173	388	11	variables	variable	NOUN
ap-5173	388	12	.	.	PUNCT
ap-5173	389	1	it	it	PRON
ap-5173	389	2	is	be	AUX
ap-5173	389	3	a	a	DET
ap-5173	389	4	statistic	statistic	NOUN
ap-5173	389	5	that	that	PRON
ap-5173	389	6	will	will	AUX
ap-5173	389	7	give	give	VERB
ap-5173	389	8	some	some	DET
ap-5173	389	9	information	information	NOUN
ap-5173	389	10	about	about	ADP
ap-5173	389	11	the	the	DET
ap-5173	389	12	goodness	goodness	NOUN
ap-5173	389	13	of	of	ADP
ap-5173	389	14	the	the	DET
ap-5173	389	15	fit	fit	NOUN
ap-5173	389	16	of	of	ADP
ap-5173	389	17	a	a	DET
ap-5173	389	18	model	model	NOUN
ap-5173	389	19	.	.	PUNCT
ap-5173	390	1	the	the	DET
ap-5173	390	2	correlation	correlation	NOUN
ap-5173	390	3	coefficient	coefficient	NOUN
ap-5173	390	4	is	be	AUX
ap-5173	390	5	the	the	DET
ap-5173	390	6	square	square	ADJ
ap-5173	390	7	root	root	NOUN
ap-5173	390	8	of	of	ADP
ap-5173	390	9	the	the	DET
ap-5173	390	10	determination	determination	NOUN
ap-5173	390	11	coefficient	coefficient	NOUN
ap-5173	390	12	.	.	PUNCT
ap-5173	391	1	degrees	degree	NOUN
ap-5173	391	2	of	of	ADP
ap-5173	391	3	tightness	tightness	NOUN
ap-5173	391	4	depending	depend	VERB
ap-5173	391	5	on	on	ADP
ap-5173	391	6	the	the	DET
ap-5173	391	7	coefficient	coefficient	NOUN
ap-5173	391	8	of	of	ADP
ap-5173	391	9	determination	determination	NOUN
ap-5173	391	10	are	be	AUX
ap-5173	391	11	as	as	SCONJ
ap-5173	391	12	follows	follow	VERB
ap-5173	391	13	:	:	PUNCT
ap-5173	391	14	r2	r2	PROPN
ap-5173	391	15	yy	yy	PROPN
ap-5173	391	16	<	<	X
ap-5173	391	17	0.1	0.1	NUM
ap-5173	391	18	low	low	ADJ
ap-5173	391	19	tightness	tightness	NOUN
ap-5173	391	20	;	;	PUNCT
ap-5173	391	21	0.1	0.1	NUM
ap-5173	391	22	≤	≤	NUM
ap-5173	391	23	r2	r2	PROPN
ap-5173	391	24	yy	yy	PROPN
ap-5173	391	25	<	<	X
ap-5173	391	26	0.25	0.25	NUM
ap-5173	391	27	slight	slight	ADJ
ap-5173	391	28	tightness	tightness	NOUN
ap-5173	391	29	;	;	PUNCT
ap-5173	391	30	0.25	0.25	NUM
ap-5173	391	31	≤	≤	NUM
ap-5173	391	32	r2	r2	PROPN
ap-5173	391	33	yy	yy	PROPN
ap-5173	391	34	<	<	X
ap-5173	391	35	0.50	0.50	NUM
ap-5173	391	36	significant	significant	ADJ
ap-5173	391	37	tightness	tightness	NOUN
ap-5173	391	38	;	;	PUNCT
ap-5173	391	39	0.5	0.5	NUM
ap-5173	391	40	≤	≤	NUM
ap-5173	391	41	r2	r2	PROPN
ap-5173	391	42	yy	yy	PROPN
ap-5173	391	43	<	<	X
ap-5173	391	44	0.80	0.80	NUM
ap-5173	391	45	high	high	ADJ
ap-5173	391	46	tightness	tightness	NOUN
ap-5173	391	47	;	;	PUNCT
ap-5173	392	1	0.8	0.8	NUM
ap-5173	392	2	≤	≤	NUM
ap-5173	392	3	r2	r2	PROPN
ap-5173	392	4	yy	yy	PROPN
ap-5173	392	5	very	very	ADV
ap-5173	392	6	high	high	ADJ
ap-5173	392	7	tightness	tightness	NOUN
ap-5173	392	8	.	.	PUNCT
ap-5173	393	1	r2	r2	PROPN
ap-5173	393	2	yy	yy	PROPN
ap-5173	393	3	=	=	SYM
ap-5173	393	4	1	1	NUM
ap-5173	393	5	indicates	indicate	VERB
ap-5173	393	6	that	that	SCONJ
ap-5173	393	7	the	the	DET
ap-5173	393	8	model	model	NOUN
ap-5173	393	9	perfectly	perfectly	ADV
ap-5173	393	10	fits	fit	VERB
ap-5173	393	11	the	the	DET
ap-5173	393	12	measured	measured	ADJ
ap-5173	393	13	target	target	NOUN
ap-5173	393	14	data	datum	NOUN
ap-5173	393	15	.	.	PUNCT
ap-5173	394	1	r2	r2	PROPN
ap-5173	394	2	yy	yy	PROPN
ap-5173	395	1	=	=	SYM
ap-5173	396	1	1−	1−	NUM
ap-5173	396	2	1	1	NUM
ap-5173	396	3	n	n	PROPN
ap-5173	396	4	∑n	∑n	PROPN
ap-5173	396	5	i=1	i=1	PROPN
ap-5173	397	1	(	(	PUNCT
ap-5173	397	2	yi	yi	NOUN
ap-5173	397	3	−	−	PROPN
ap-5173	397	4	y	y	PROPN
ap-5173	397	5	)	)	PUNCT
ap-5173	397	6	2	2	NUM
ap-5173	397	7	1	1	NUM
ap-5173	397	8	n	n	PROPN
ap-5173	397	9	∑n	∑n	PROPN
ap-5173	397	10	i=1	i=1	PROPN
ap-5173	397	11	(	(	PUNCT
ap-5173	397	12	yi	yi	NOUN
ap-5173	397	13	−	−	NOUN
ap-5173	397	14	y)2	y)2	NOUN
ap-5173	397	15	(	(	PUNCT
ap-5173	397	16	21	21	NUM
ap-5173	397	17	)	)	PUNCT
ap-5173	397	18	•	•	NOUN
ap-5173	397	19	relative	relative	ADJ
ap-5173	397	20	root	root	NOUN
ap-5173	397	21	mean	mean	VERB
ap-5173	397	22	squared	square	VERB
ap-5173	397	23	error	error	NOUN
ap-5173	397	24	(	(	PUNCT
ap-5173	397	25	rrmse	rrmse	NOUN
ap-5173	397	26	)	)	PUNCT
ap-5173	397	27	this	this	DET
ap-5173	397	28	error	error	NOUN
ap-5173	397	29	can	can	AUX
ap-5173	397	30	be	be	AUX
ap-5173	397	31	calculated	calculate	VERB
ap-5173	397	32	by	by	ADP
ap-5173	397	33	dividing	divide	VERB
ap-5173	397	34	root	root	NOUN
ap-5173	397	35	mean	mean	ADJ
ap-5173	397	36	square	square	ADJ
ap-5173	397	37	error	error	NOUN
ap-5173	397	38	rmse	rmse	NOUN
ap-5173	397	39	by	by	ADP
ap-5173	397	40	the	the	DET
ap-5173	397	41	average	average	NOUN
ap-5173	397	42	of	of	ADP
ap-5173	397	43	actual	actual	ADJ
ap-5173	397	44	values	value	NOUN
ap-5173	397	45	yi	yi	PROPN
ap-5173	397	46	.	.	PUNCT
ap-5173	397	47	rmse	rmse	PROPN
ap-5173	397	48	represents	represent	VERB
ap-5173	397	49	the	the	DET
ap-5173	397	50	square	square	ADJ
ap-5173	397	51	root	root	NOUN
ap-5173	397	52	of	of	ADP
ap-5173	397	53	mean	mean	ADJ
ap-5173	397	54	square	square	ADJ
ap-5173	397	55	error	error	NOUN
ap-5173	397	56	(	(	PUNCT
ap-5173	397	57	mse	mse	NOUN
ap-5173	397	58	)	)	PUNCT
ap-5173	397	59	calculated	calculate	VERB
ap-5173	397	60	as	as	SCONJ
ap-5173	397	61	follows	follow	VERB
ap-5173	397	62	:	:	PUNCT
ap-5173	397	63	rmse	rmse	PROPN
ap-5173	397	64	=	=	SYM
ap-5173	397	65	√	√	NOUN
ap-5173	397	66	mse	mse	NOUN
ap-5173	397	67	=	=	PUNCT
ap-5173	397	68	√√√√	√√√√	PRON
ap-5173	397	69	1	1	NUM
ap-5173	397	70	n	n	NUM
ap-5173	397	71	n∑	n∑	NOUN
ap-5173	397	72	i=1	i=1	PROPN
ap-5173	397	73	(	(	PUNCT
ap-5173	397	74	yi	yi	PROPN
ap-5173	397	75	−	−	PROPN
ap-5173	398	1	yi)2	yi)2	PROPN
ap-5173	398	2	(	(	PUNCT
ap-5173	398	3	22	22	NUM
ap-5173	398	4	)	)	PUNCT
ap-5173	398	5	the	the	DET
ap-5173	398	6	mse	mse	PROPN
ap-5173	398	7	is	be	AUX
ap-5173	398	8	a	a	DET
ap-5173	398	9	useful	useful	ADJ
ap-5173	398	10	statistic	statistic	ADJ
ap-5173	398	11	measure	measure	NOUN
ap-5173	398	12	for	for	ADP
ap-5173	398	13	assessing	assess	VERB
ap-5173	398	14	the	the	DET
ap-5173	398	15	accuracy	accuracy	NOUN
ap-5173	398	16	of	of	ADP
ap-5173	398	17	the	the	DET
ap-5173	398	18	prediction	prediction	NOUN
ap-5173	398	19	.	.	PUNCT
ap-5173	399	1	the	the	DET
ap-5173	399	2	rrmse	rrmse	NOUN
ap-5173	399	3	can	can	AUX
ap-5173	399	4	be	be	AUX
ap-5173	399	5	calculated	calculate	VERB
ap-5173	399	6	by	by	ADP
ap-5173	399	7	the	the	DET
ap-5173	399	8	following	follow	VERB
ap-5173	399	9	equation	equation	NOUN
ap-5173	399	10	[	[	X
ap-5173	399	11	34	34	NUM
ap-5173	399	12	,	,	PUNCT
ap-5173	399	13	47	47	NUM
ap-5173	399	14	]	]	PUNCT
ap-5173	399	15	:	:	PUNCT
ap-5173	400	1	rrmse	rrmse	NOUN
ap-5173	400	2	=	=	SYM
ap-5173	400	3	rmse	rmse	NOUN
ap-5173	400	4	1	1	NUM
ap-5173	400	5	n	n	NOUN
ap-5173	400	6	∑n	∑n	PROPN
ap-5173	400	7	i=1	i=1	PROPN
ap-5173	400	8	yi	yi	PROPN
ap-5173	400	9	×	×	NOUN
ap-5173	400	10	100	100	NUM
ap-5173	400	11	=	=	NOUN
ap-5173	400	12	√	√	ADP
ap-5173	400	13	1	1	NUM
ap-5173	400	14	n	n	PROPN
ap-5173	400	15	∑n	∑n	PROPN
ap-5173	400	16	i=1	i=1	PROPN
ap-5173	400	17	(	(	PUNCT
ap-5173	400	18	yi	yi	NOUN
ap-5173	401	1	−	−	NOUN
ap-5173	401	2	yi)2	yi)2	NOUN
ap-5173	401	3	1	1	NUM
ap-5173	401	4	n	n	NOUN
ap-5173	401	5	∑n	∑n	PROPN
ap-5173	401	6	i=1	i=1	PROPN
ap-5173	401	7	yi	yi	PROPN
ap-5173	401	8	×	×	NOUN
ap-5173	401	9	100	100	NUM
ap-5173	401	10	(	(	PUNCT
ap-5173	401	11	%	%	INTJ
ap-5173	401	12	)	)	PUNCT
ap-5173	401	13	(	(	PUNCT
ap-5173	401	14	23	23	NUM
ap-5173	401	15	)	)	PUNCT
ap-5173	401	16	•	•	NUM
ap-5173	401	17	mean	mean	VERB
ap-5173	401	18	absolute	absolute	ADJ
ap-5173	401	19	percentage	percentage	NOUN
ap-5173	401	20	error	error	NOUN
ap-5173	401	21	(	(	PUNCT
ap-5173	401	22	mape	mape	NOUN
ap-5173	401	23	)	)	PUNCT
ap-5173	401	24	this	this	DET
ap-5173	401	25	statistic	statistic	ADJ
ap-5173	401	26	indicator	indicator	NOUN
ap-5173	401	27	expresses	express	VERB
ap-5173	401	28	a	a	DET
ap-5173	401	29	percentage	percentage	NOUN
ap-5173	401	30	prediction	prediction	NOUN
ap-5173	401	31	error	error	NOUN
ap-5173	401	32	.	.	PUNCT
ap-5173	402	1	it	it	PRON
ap-5173	402	2	can	can	AUX
ap-5173	402	3	be	be	AUX
ap-5173	402	4	calculated	calculate	VERB
ap-5173	402	5	as	as	SCONJ
ap-5173	402	6	follows	follow	VERB
ap-5173	402	7	:	:	PUNCT
ap-5173	402	8	mape	mape	NOUN
ap-5173	402	9	=	=	SYM
ap-5173	402	10	1	1	NUM
ap-5173	402	11	n	n	NUM
ap-5173	402	12	n∑	n∑	NOUN
ap-5173	402	13	i=1	i=1	X
ap-5173	403	1	|yi	|yi	ADV
ap-5173	403	2	−	−	PUNCT
ap-5173	403	3	yi|	yi|	ADV
ap-5173	403	4	|yi|	|yi|	PROPN
ap-5173	403	5	×	×	PROPN
ap-5173	403	6	100	100	NUM
ap-5173	403	7	(	(	PUNCT
ap-5173	403	8	%	%	INTJ
ap-5173	403	9	)	)	PUNCT
ap-5173	403	10	(	(	PUNCT
ap-5173	403	11	24	24	NUM
ap-5173	403	12	)	)	PUNCT
ap-5173	403	13	this	this	DET
ap-5173	403	14	error	error	NOUN
ap-5173	403	15	has	have	VERB
ap-5173	403	16	certain	certain	ADJ
ap-5173	403	17	disadvantages	disadvantage	NOUN
ap-5173	403	18	.	.	PUNCT
ap-5173	404	1	at	at	ADP
ap-5173	404	2	zero	zero	NUM
ap-5173	404	3	values	value	NOUN
ap-5173	404	4	of	of	ADP
ap-5173	404	5	yi	yi	NOUN
ap-5173	404	6	,	,	PUNCT
ap-5173	404	7	a	a	DET
ap-5173	404	8	division	division	NOUN
ap-5173	404	9	by	by	ADP
ap-5173	404	10	zero	zero	NUM
ap-5173	404	11	can	can	AUX
ap-5173	404	12	occur	occur	VERB
ap-5173	404	13	,	,	PUNCT
ap-5173	404	14	and	and	CCONJ
ap-5173	404	15	mape	mape	NOUN
ap-5173	404	16	334	334	NUM
ap-5173	404	17	vol	vol	NOUN
ap-5173	404	18	.	.	PUNCT
ap-5173	405	1	59	59	NUM
ap-5173	405	2	no	no	NOUN
ap-5173	405	3	.	.	PUNCT
ap-5173	406	1	4/2019	4/2019	NUM
ap-5173	406	2	a	a	DET
ap-5173	406	3	comparative	comparative	ADJ
ap-5173	406	4	study	study	NOUN
ap-5173	406	5	of	of	ADP
ap-5173	406	6	data	data	NOUN
ap-5173	406	7	-	-	PUNCT
ap-5173	406	8	driven	drive	VERB
ap-5173	406	9	modeling	modeling	NOUN
ap-5173	406	10	methods	method	NOUN
ap-5173	406	11	.	.	PUNCT
ap-5173	406	12	.	.	PUNCT
ap-5173	407	1	.	.	PUNCT
ap-5173	408	1	produces	produce	VERB
ap-5173	408	2	undefined	undefined	ADJ
ap-5173	408	3	values	value	NOUN
ap-5173	408	4	.	.	PUNCT
ap-5173	409	1	in	in	ADP
ap-5173	409	2	very	very	ADV
ap-5173	409	3	low	low	ADJ
ap-5173	409	4	values	value	NOUN
ap-5173	409	5	of	of	ADP
ap-5173	409	6	yi	yi	NOUN
ap-5173	409	7	,	,	PUNCT
ap-5173	409	8	mape	mape	NOUN
ap-5173	409	9	can	can	AUX
ap-5173	409	10	exceed	exceed	VERB
ap-5173	409	11	100	100	NUM
ap-5173	409	12	%	%	NOUN
ap-5173	409	13	extremely	extremely	ADV
ap-5173	409	14	.	.	PUNCT
ap-5173	410	1	when	when	SCONJ
ap-5173	410	2	actual	actual	ADJ
ap-5173	410	3	values	value	NOUN
ap-5173	410	4	yi	yi	PROPN
ap-5173	410	5	are	be	AUX
ap-5173	410	6	very	very	ADV
ap-5173	410	7	high	high	ADJ
ap-5173	410	8	(	(	PUNCT
ap-5173	410	9	i.e.	i.e.	X
ap-5173	410	10	,	,	PUNCT
ap-5173	410	11	above	above	ADP
ap-5173	410	12	yi	yi	PROPN
ap-5173	410	13	)	)	PUNCT
ap-5173	410	14	,	,	PUNCT
ap-5173	410	15	mape	mape	NOUN
ap-5173	410	16	will	will	AUX
ap-5173	410	17	not	not	PART
ap-5173	410	18	exceed	exceed	VERB
ap-5173	410	19	100	100	NUM
ap-5173	410	20	%	%	NOUN
ap-5173	410	21	.	.	PUNCT
ap-5173	411	1	•	•	NUM
ap-5173	411	2	performance	performance	NOUN
ap-5173	411	3	index	index	NOUN
ap-5173	411	4	(	(	PUNCT
ap-5173	411	5	pi	pi	NOUN
ap-5173	411	6	)	)	PUNCT
ap-5173	411	7	indicates	indicate	VERB
ap-5173	411	8	the	the	DET
ap-5173	411	9	overall	overall	ADJ
ap-5173	411	10	performance	performance	NOUN
ap-5173	411	11	of	of	ADP
ap-5173	411	12	the	the	DET
ap-5173	411	13	given	give	VERB
ap-5173	411	14	prediction	prediction	NOUN
ap-5173	411	15	method	method	NOUN
ap-5173	411	16	.	.	PUNCT
ap-5173	412	1	the	the	DET
ap-5173	412	2	pi	pi	NOUN
ap-5173	412	3	value	value	NOUN
ap-5173	412	4	ranges	range	VERB
ap-5173	412	5	is	be	AUX
ap-5173	412	6	from	from	ADP
ap-5173	412	7	0	0	NUM
ap-5173	412	8	to	to	ADP
ap-5173	412	9	+	+	PROPN
ap-5173	412	10	∞.	∞.	PROPN
ap-5173	412	11	the	the	DET
ap-5173	412	12	smaller	small	ADJ
ap-5173	412	13	values	value	NOUN
ap-5173	412	14	of	of	ADP
ap-5173	412	15	pi	pi	NOUN
ap-5173	412	16	indicate	indicate	VERB
ap-5173	412	17	a	a	DET
ap-5173	412	18	better	well	ADJ
ap-5173	412	19	performance	performance	NOUN
ap-5173	412	20	.	.	PUNCT
ap-5173	413	1	the	the	DET
ap-5173	413	2	pi	pi	NOUN
ap-5173	413	3	is	be	AUX
ap-5173	413	4	calculated	calculate	VERB
ap-5173	413	5	as	as	SCONJ
ap-5173	413	6	follows	follow	VERB
ap-5173	413	7	[	[	X
ap-5173	413	8	47	47	NUM
ap-5173	413	9	,	,	PUNCT
ap-5173	413	10	48	48	NUM
ap-5173	413	11	]	]	PUNCT
ap-5173	413	12	:	:	PUNCT
ap-5173	413	13	pi	pi	NOUN
ap-5173	413	14	=	=	PUNCT
ap-5173	413	15	rrmse	rrmse	PROPN
ap-5173	413	16	ryy	ryy	PROPN
ap-5173	413	17	+	+	ADV
ap-5173	413	18	1	1	NUM
ap-5173	413	19	(	(	PUNCT
ap-5173	413	20	25	25	NUM
ap-5173	413	21	)	)	PUNCT
ap-5173	413	22	the	the	DET
ap-5173	413	23	above	above	ADP
ap-5173	413	24	statistical	statistical	ADJ
ap-5173	413	25	indicators	indicator	NOUN
ap-5173	413	26	were	be	AUX
ap-5173	413	27	calculated	calculate	VERB
ap-5173	413	28	individually	individually	ADV
ap-5173	413	29	for	for	ADP
ap-5173	413	30	training	training	NOUN
ap-5173	413	31	and	and	CCONJ
ap-5173	413	32	testing	testing	NOUN
ap-5173	413	33	data	datum	NOUN
ap-5173	413	34	.	.	PUNCT
ap-5173	414	1	the	the	DET
ap-5173	414	2	time	time	NOUN
ap-5173	414	3	needed	need	VERB
ap-5173	414	4	to	to	PART
ap-5173	414	5	train	train	VERB
ap-5173	414	6	the	the	DET
ap-5173	414	7	predictive	predictive	ADJ
ap-5173	414	8	model	model	NOUN
ap-5173	414	9	was	be	AUX
ap-5173	414	10	also	also	ADV
ap-5173	414	11	measured	measure	VERB
ap-5173	414	12	.	.	PUNCT
ap-5173	415	1	4.1	4.1	NUM
ap-5173	415	2	.	.	PUNCT
ap-5173	415	3	prediction	prediction	NOUN
ap-5173	415	4	by	by	ADP
ap-5173	415	5	the	the	DET
ap-5173	415	6	back	back	ADJ
ap-5173	415	7	-	-	PUNCT
ap-5173	415	8	propagation	propagation	NOUN
ap-5173	415	9	nn	nn	INTJ
ap-5173	415	10	the	the	DET
ap-5173	415	11	back	back	ADJ
ap-5173	415	12	-	-	PUNCT
ap-5173	415	13	propagation	propagation	NOUN
ap-5173	415	14	algorithm	algorithm	NOUN
ap-5173	415	15	(	(	PUNCT
ap-5173	415	16	or	or	CCONJ
ap-5173	415	17	gradient	gradient	ADJ
ap-5173	415	18	algorithm	algorithm	NOUN
ap-5173	415	19	)	)	PUNCT
ap-5173	415	20	is	be	AUX
ap-5173	415	21	based	base	VERB
ap-5173	415	22	on	on	ADP
ap-5173	415	23	an	an	DET
ap-5173	415	24	“	"	PUNCT
ap-5173	415	25	error	error	NOUN
ap-5173	415	26	-	-	PUNCT
ap-5173	415	27	correction	correction	NOUN
ap-5173	415	28	”	"	PUNCT
ap-5173	415	29	learning	learn	VERB
ap-5173	415	30	rule	rule	NOUN
ap-5173	415	31	,	,	PUNCT
ap-5173	415	32	i.e.	i.e.	X
ap-5173	415	33	,	,	PUNCT
ap-5173	415	34	learning	learn	VERB
ap-5173	415	35	by	by	ADP
ap-5173	415	36	the	the	DET
ap-5173	415	37	network	network	NOUN
ap-5173	415	38	error	error	NOUN
ap-5173	415	39	.	.	PUNCT
ap-5173	416	1	this	this	DET
ap-5173	416	2	algorithm	algorithm	NOUN
ap-5173	416	3	performs	perform	VERB
ap-5173	416	4	the	the	DET
ap-5173	416	5	steepest	steep	ADJ
ap-5173	416	6	descent	descent	NOUN
ap-5173	416	7	procedure	procedure	NOUN
ap-5173	416	8	.	.	PUNCT
ap-5173	417	1	the	the	DET
ap-5173	417	2	learning	learning	NOUN
ap-5173	417	3	consists	consist	VERB
ap-5173	417	4	of	of	ADP
ap-5173	417	5	two	two	NUM
ap-5173	417	6	pass	pass	NOUN
ap-5173	417	7	-	-	PUNCT
ap-5173	417	8	overs	over	NOUN
ap-5173	417	9	across	across	ADP
ap-5173	417	10	different	different	ADJ
ap-5173	417	11	layers	layer	NOUN
ap-5173	417	12	of	of	ADP
ap-5173	417	13	the	the	DET
ap-5173	417	14	network	network	NOUN
ap-5173	417	15	,	,	PUNCT
ap-5173	417	16	i.e.	i.e.	X
ap-5173	417	17	,	,	PUNCT
ap-5173	417	18	the	the	DET
ap-5173	417	19	forward	forward	ADJ
ap-5173	417	20	pass	pass	NOUN
ap-5173	417	21	(	(	PUNCT
ap-5173	417	22	i.e.	i.e.	X
ap-5173	417	23	,	,	PUNCT
ap-5173	417	24	forward	forward	ADJ
ap-5173	417	25	activation	activation	NOUN
ap-5173	417	26	flow	flow	NOUN
ap-5173	417	27	of	of	ADP
ap-5173	417	28	outputs	output	NOUN
ap-5173	417	29	)	)	PUNCT
ap-5173	417	30	and	and	CCONJ
ap-5173	417	31	backward	backward	ADJ
ap-5173	417	32	pass	pass	NOUN
ap-5173	417	33	(	(	PUNCT
ap-5173	417	34	i.e.	i.e.	X
ap-5173	417	35	,	,	PUNCT
ap-5173	417	36	the	the	DET
ap-5173	417	37	backward	backward	ADJ
ap-5173	417	38	error	error	NOUN
ap-5173	417	39	propagation	propagation	NOUN
ap-5173	417	40	of	of	ADP
ap-5173	417	41	weight	weight	NOUN
ap-5173	417	42	adjustments	adjustment	NOUN
ap-5173	417	43	)	)	PUNCT
ap-5173	417	44	.	.	PUNCT
ap-5173	418	1	before	before	ADP
ap-5173	418	2	the	the	DET
ap-5173	418	3	training	training	NOUN
ap-5173	418	4	,	,	PUNCT
ap-5173	418	5	it	it	PRON
ap-5173	418	6	is	be	AUX
ap-5173	418	7	appropriate	appropriate	ADJ
ap-5173	418	8	to	to	PART
ap-5173	418	9	standardize	standardize	VERB
ap-5173	418	10	all	all	DET
ap-5173	418	11	inputs	input	NOUN
ap-5173	418	12	of	of	ADP
ap-5173	418	13	the	the	DET
ap-5173	418	14	nn	nn	PROPN
ap-5173	418	15	for	for	ADP
ap-5173	418	16	the	the	DET
ap-5173	418	17	effective	effective	ADJ
ap-5173	418	18	scaling	scaling	NOUN
ap-5173	418	19	of	of	ADP
ap-5173	418	20	the	the	DET
ap-5173	418	21	weights	weight	NOUN
ap-5173	418	22	.	.	PUNCT
ap-5173	419	1	the	the	DET
ap-5173	419	2	learning	learning	NOUN
ap-5173	419	3	takes	take	VERB
ap-5173	419	4	place	place	NOUN
ap-5173	419	5	in	in	ADP
ap-5173	419	6	cycles	cycle	NOUN
ap-5173	419	7	(	(	PUNCT
ap-5173	419	8	i.e.	i.e.	X
ap-5173	419	9	,	,	PUNCT
ap-5173	419	10	epochs	epoch	NOUN
ap-5173	419	11	)	)	PUNCT
ap-5173	419	12	,	,	PUNCT
ap-5173	419	13	always	always	ADV
ap-5173	419	14	with	with	ADP
ap-5173	419	15	new	new	ADJ
ap-5173	419	16	input	input	NOUN
ap-5173	419	17	patterns	pattern	NOUN
ap-5173	419	18	.	.	PUNCT
ap-5173	420	1	it	it	PRON
ap-5173	420	2	is	be	AUX
ap-5173	420	3	based	base	VERB
ap-5173	420	4	on	on	ADP
ap-5173	420	5	the	the	DET
ap-5173	420	6	gradual	gradual	ADJ
ap-5173	420	7	minimizing	minimizing	NOUN
ap-5173	420	8	weights	weight	NOUN
ap-5173	420	9	so	so	SCONJ
ap-5173	420	10	that	that	SCONJ
ap-5173	420	11	the	the	DET
ap-5173	420	12	error	error	NOUN
ap-5173	420	13	e	e	NOUN
ap-5173	420	14	(	(	PUNCT
ap-5173	420	15	5	5	NUM
ap-5173	420	16	)	)	PUNCT
ap-5173	420	17	is	be	AUX
ap-5173	420	18	reduced	reduce	VERB
ap-5173	420	19	.	.	PUNCT
ap-5173	421	1	this	this	DET
ap-5173	421	2	error	error	NOUN
ap-5173	421	3	is	be	AUX
ap-5173	421	4	minimized	minimize	VERB
ap-5173	421	5	iteratively	iteratively	ADV
ap-5173	421	6	in	in	ADP
ap-5173	421	7	different	different	ADJ
ap-5173	421	8	epochs	epoch	NOUN
ap-5173	421	9	so	so	SCONJ
ap-5173	421	10	that	that	SCONJ
ap-5173	421	11	the	the	DET
ap-5173	421	12	required	require	VERB
ap-5173	421	13	accuracy	accuracy	NOUN
ap-5173	421	14	ε	ε	PROPN
ap-5173	421	15	was	be	AUX
ap-5173	421	16	achieved	achieve	VERB
ap-5173	421	17	.	.	PUNCT
ap-5173	422	1	after	after	ADP
ap-5173	422	2	learning	learn	VERB
ap-5173	422	3	,	,	PUNCT
ap-5173	422	4	it	it	PRON
ap-5173	422	5	is	be	AUX
ap-5173	422	6	desirable	desirable	ADJ
ap-5173	422	7	that	that	SCONJ
ap-5173	422	8	the	the	DET
ap-5173	422	9	output	output	NOUN
ap-5173	422	10	from	from	ADP
ap-5173	422	11	the	the	DET
ap-5173	422	12	nn	nn	PROPN
ap-5173	422	13	network	network	NOUN
ap-5173	422	14	is	be	AUX
ap-5173	422	15	equal	equal	ADJ
ap-5173	422	16	to	to	ADP
ap-5173	422	17	the	the	DET
ap-5173	422	18	required	require	VERB
ap-5173	422	19	output	output	NOUN
ap-5173	422	20	or	or	CCONJ
ap-5173	422	21	to	to	PART
ap-5173	422	22	get	get	VERB
ap-5173	422	23	it	it	PRON
ap-5173	422	24	as	as	ADV
ap-5173	422	25	close	close	ADJ
ap-5173	422	26	as	as	ADP
ap-5173	422	27	possible	possible	ADJ
ap-5173	422	28	,	,	PUNCT
ap-5173	422	29	considering	consider	VERB
ap-5173	422	30	all	all	DET
ap-5173	422	31	input	input	NOUN
ap-5173	422	32	patterns	pattern	NOUN
ap-5173	422	33	from	from	ADP
ap-5173	422	34	the	the	DET
ap-5173	422	35	set	set	NOUN
ap-5173	422	36	of	of	ADP
ap-5173	422	37	atrain	atrain	NOUN
ap-5173	422	38	.	.	PUNCT
ap-5173	423	1	the	the	DET
ap-5173	423	2	ability	ability	NOUN
ap-5173	423	3	of	of	ADP
ap-5173	423	4	the	the	DET
ap-5173	423	5	nn	nn	PROPN
ap-5173	423	6	to	to	PART
ap-5173	423	7	determine	determine	VERB
ap-5173	423	8	the	the	DET
ap-5173	423	9	output	output	NOUN
ap-5173	423	10	for	for	ADP
ap-5173	423	11	inputs	input	NOUN
ap-5173	423	12	outside	outside	ADP
ap-5173	423	13	the	the	DET
ap-5173	423	14	atrain	atrain	NOUN
ap-5173	423	15	set	set	NOUN
ap-5173	423	16	is	be	AUX
ap-5173	423	17	called	call	VERB
ap-5173	423	18	the	the	DET
ap-5173	423	19	generalization	generalization	NOUN
ap-5173	423	20	.	.	PUNCT
ap-5173	424	1	this	this	PRON
ap-5173	424	2	is	be	AUX
ap-5173	424	3	also	also	ADV
ap-5173	424	4	the	the	DET
ap-5173	424	5	main	main	ADJ
ap-5173	424	6	role	role	NOUN
ap-5173	424	7	of	of	ADP
ap-5173	424	8	the	the	DET
ap-5173	424	9	nn	nn	PROPN
ap-5173	424	10	in	in	ADP
ap-5173	424	11	the	the	DET
ap-5173	424	12	prediction	prediction	NOUN
ap-5173	424	13	.	.	PUNCT
ap-5173	425	1	weights	weight	NOUN
ap-5173	425	2	are	be	AUX
ap-5173	425	3	modified	modify	VERB
ap-5173	425	4	using	use	VERB
ap-5173	425	5	the	the	DET
ap-5173	425	6	set	set	NOUN
ap-5173	425	7	atrain	atrain	ADV
ap-5173	425	8	and	and	CCONJ
ap-5173	425	9	,	,	PUNCT
ap-5173	425	10	using	use	VERB
ap-5173	425	11	atest	at	ADJ
ap-5173	425	12	,	,	PUNCT
ap-5173	425	13	the	the	DET
ap-5173	425	14	generalization	generalization	NOUN
ap-5173	425	15	error	error	NOUN
ap-5173	425	16	is	be	AUX
ap-5173	425	17	detected	detect	VERB
ap-5173	425	18	.	.	PUNCT
ap-5173	426	1	five	five	NUM
ap-5173	426	2	input	input	NOUN
ap-5173	426	3	variables	variable	NOUN
ap-5173	426	4	i.e.	i.e.	X
ap-5173	426	5	,	,	PUNCT
ap-5173	426	6	concentration	concentration	NOUN
ap-5173	426	7	of	of	ADP
ap-5173	426	8	o2	o2	PROPN
ap-5173	426	9	(	(	PUNCT
ap-5173	426	10	x1	x1	PROPN
ap-5173	426	11	)	)	PUNCT
ap-5173	426	12	,	,	PUNCT
ap-5173	426	13	co2	co2	NOUN
ap-5173	426	14	(	(	PUNCT
ap-5173	426	15	x2	x2	PROPN
ap-5173	426	16	)	)	PUNCT
ap-5173	426	17	,	,	PUNCT
ap-5173	426	18	co	co	X
ap-5173	426	19	(	(	PUNCT
ap-5173	426	20	x3	x3	ADJ
ap-5173	426	21	)	)	PUNCT
ap-5173	426	22	,	,	PUNCT
ap-5173	426	23	h2	h2	PROPN
ap-5173	426	24	(	(	PUNCT
ap-5173	426	25	x4	x4	PROPN
ap-5173	426	26	)	)	PUNCT
ap-5173	426	27	and	and	CCONJ
ap-5173	426	28	ch4	ch4	PROPN
ap-5173	426	29	(	(	PUNCT
ap-5173	426	30	x5	x5	PROPN
ap-5173	426	31	)	)	PUNCT
ap-5173	426	32	(	(	PUNCT
ap-5173	426	33	measured	measure	VERB
ap-5173	426	34	in	in	ADP
ap-5173	426	35	vol	vol	NOUN
ap-5173	426	36	.	.	PUNCT
ap-5173	427	1	%	%	INTJ
ap-5173	427	2	)	)	PUNCT
ap-5173	427	3	have	have	AUX
ap-5173	427	4	been	be	AUX
ap-5173	427	5	regarded	regard	VERB
ap-5173	427	6	for	for	ADP
ap-5173	427	7	the	the	DET
ap-5173	427	8	initialization	initialization	NOUN
ap-5173	427	9	of	of	ADP
ap-5173	427	10	input	input	NOUN
ap-5173	427	11	neurons	neuron	NOUN
ap-5173	427	12	and	and	CCONJ
ap-5173	427	13	the	the	DET
ap-5173	427	14	prediction	prediction	NOUN
ap-5173	427	15	of	of	ADP
ap-5173	427	16	the	the	DET
ap-5173	427	17	underground	underground	ADJ
ap-5173	427	18	temperature	temperature	NOUN
ap-5173	427	19	in	in	ADP
ap-5173	427	20	the	the	DET
ap-5173	427	21	ucg	ucg	PROPN
ap-5173	427	22	.	.	PUNCT
ap-5173	428	1	two	two	NUM
ap-5173	428	2	stationary	stationary	ADJ
ap-5173	428	3	analysers	analyser	NOUN
ap-5173	428	4	that	that	PRON
ap-5173	428	5	measured	measure	VERB
ap-5173	428	6	concentrations	concentration	NOUN
ap-5173	428	7	of	of	ADP
ap-5173	428	8	only	only	ADV
ap-5173	428	9	these	these	DET
ap-5173	428	10	five	five	NUM
ap-5173	428	11	gases	gas	NOUN
ap-5173	428	12	have	have	AUX
ap-5173	428	13	been	be	AUX
ap-5173	428	14	used	use	VERB
ap-5173	428	15	during	during	ADP
ap-5173	428	16	the	the	DET
ap-5173	428	17	ucg	ucg	PROPN
ap-5173	428	18	experiment	experiment	NOUN
ap-5173	428	19	.	.	PUNCT
ap-5173	429	1	these	these	DET
ap-5173	429	2	concentrations	concentration	NOUN
ap-5173	429	3	have	have	AUX
ap-5173	429	4	been	be	AUX
ap-5173	429	5	considered	consider	VERB
ap-5173	429	6	to	to	PART
ap-5173	429	7	be	be	AUX
ap-5173	429	8	the	the	DET
ap-5173	429	9	most	most	ADV
ap-5173	429	10	significant	significant	ADJ
ap-5173	429	11	.	.	PUNCT
ap-5173	430	1	in	in	ADP
ap-5173	430	2	the	the	DET
ap-5173	430	3	prediction	prediction	NOUN
ap-5173	430	4	of	of	ADP
ap-5173	430	5	the	the	DET
ap-5173	430	6	syngas	syngas	NOUN
ap-5173	430	7	calorific	calorific	NOUN
ap-5173	430	8	value	value	NOUN
ap-5173	430	9	,	,	PUNCT
ap-5173	430	10	three	three	NUM
ap-5173	430	11	input	input	NOUN
ap-5173	430	12	process	process	NOUN
ap-5173	430	13	-	-	PUNCT
ap-5173	430	14	relevant	relevant	ADJ
ap-5173	430	15	variables	variable	NOUN
ap-5173	430	16	were	be	AUX
ap-5173	430	17	used	use	VERB
ap-5173	430	18	i.e.	i.e.	ADV
ap-5173	430	19	,	,	PUNCT
ap-5173	430	20	injected	inject	VERB
ap-5173	430	21	air	air	NOUN
ap-5173	430	22	flow	flow	NOUN
ap-5173	430	23	(	(	PUNCT
ap-5173	430	24	x1	x1	PROPN
ap-5173	430	25	)	)	PUNCT
ap-5173	430	26	,	,	PUNCT
ap-5173	430	27	flow	flow	NOUN
ap-5173	430	28	of	of	ADP
ap-5173	430	29	supplementary	supplementary	ADJ
ap-5173	430	30	oxygen	oxygen	NOUN
ap-5173	430	31	(	(	PUNCT
ap-5173	430	32	nm3	nm3	NOUN
ap-5173	430	33	/	/	SYM
ap-5173	430	34	h	h	NOUN
ap-5173	430	35	)	)	PUNCT
ap-5173	430	36	(	(	PUNCT
ap-5173	430	37	x2	x2	PROPN
ap-5173	430	38	)	)	PUNCT
ap-5173	430	39	and	and	CCONJ
ap-5173	430	40	pressure	pressure	NOUN
ap-5173	430	41	on	on	ADP
ap-5173	430	42	outlet	outlet	NOUN
ap-5173	430	43	(	(	PUNCT
ap-5173	430	44	pa	pa	PROPN
ap-5173	430	45	)	)	PUNCT
ap-5173	430	46	(	(	PUNCT
ap-5173	430	47	x3	x3	ADJ
ap-5173	430	48	)	)	PUNCT
ap-5173	430	49	.	.	PUNCT
ap-5173	431	1	these	these	DET
ap-5173	431	2	variables	variable	NOUN
ap-5173	431	3	are	be	AUX
ap-5173	431	4	adjustable	adjustable	ADJ
ap-5173	431	5	by	by	ADP
ap-5173	431	6	the	the	DET
ap-5173	431	7	automatized	automatize	VERB
ap-5173	431	8	control	control	NOUN
ap-5173	431	9	system	system	NOUN
ap-5173	431	10	.	.	PUNCT
ap-5173	432	1	the	the	DET
ap-5173	432	2	general	general	ADJ
ap-5173	432	3	scheme	scheme	NOUN
ap-5173	432	4	of	of	ADP
ap-5173	432	5	the	the	DET
ap-5173	432	6	nn	nn	PROPN
ap-5173	432	7	considered	consider	VERB
ap-5173	432	8	from	from	ADP
ap-5173	432	9	the	the	DET
ap-5173	432	10	ucg	ucg	PROPN
ap-5173	432	11	data	datum	NOUN
ap-5173	432	12	prediction	prediction	NOUN
ap-5173	432	13	is	be	AUX
ap-5173	432	14	shown	show	VERB
ap-5173	432	15	in	in	ADP
ap-5173	432	16	figure	figure	NOUN
ap-5173	432	17	7	7	NUM
ap-5173	432	18	.	.	PUNCT
ap-5173	433	1	the	the	DET
ap-5173	433	2	methods	method	NOUN
ap-5173	433	3	of	of	ADP
ap-5173	433	4	batch	batch	NOUN
ap-5173	433	5	gradient	gradient	ADJ
ap-5173	433	6	descent	descent	NOUN
ap-5173	433	7	with	with	ADP
ap-5173	433	8	momentum	momentum	NOUN
ap-5173	433	9	and	and	CCONJ
ap-5173	433	10	gradient	gradient	ADJ
ap-5173	433	11	descent	descent	NOUN
ap-5173	433	12	with	with	ADP
ap-5173	433	13	variable	variable	ADJ
ap-5173	433	14	learning	learning	NOUN
ap-5173	433	15	rate	rate	NOUN
ap-5173	433	16	have	have	AUX
ap-5173	433	17	been	be	AUX
ap-5173	433	18	applied	apply	VERB
ap-5173	433	19	.	.	PUNCT
ap-5173	434	1	in	in	ADP
ap-5173	434	2	this	this	DET
ap-5173	434	3	approach	approach	NOUN
ap-5173	434	4	,	,	PUNCT
ap-5173	434	5	weights	weight	NOUN
ap-5173	434	6	and	and	CCONJ
ap-5173	434	7	biases	bias	NOUN
ap-5173	434	8	are	be	AUX
ap-5173	434	9	updated	update	VERB
ap-5173	434	10	according	accord	VERB
ap-5173	434	11	to	to	ADP
ap-5173	434	12	the	the	DET
ap-5173	434	13	gradient	gradient	ADJ
ap-5173	434	14	descent	descent	NOUN
ap-5173	434	15	momentum	momentum	NOUN
ap-5173	434	16	and	and	CCONJ
ap-5173	434	17	an	an	DET
ap-5173	434	18	adaptive	adaptive	ADJ
ap-5173	434	19	learning	learning	NOUN
ap-5173	434	20	rate	rate	NOUN
ap-5173	434	21	.	.	PUNCT
ap-5173	435	1	it	it	PRON
ap-5173	435	2	is	be	AUX
ap-5173	435	3	the	the	DET
ap-5173	435	4	most	most	ADV
ap-5173	435	5	widely	widely	ADV
ap-5173	435	6	used	use	VERB
ap-5173	435	7	way	way	NOUN
ap-5173	435	8	to	to	PART
ap-5173	435	9	realize	realize	VERB
ap-5173	435	10	this	this	DET
ap-5173	435	11	minimization	minimization	NOUN
ap-5173	435	12	of	of	ADP
ap-5173	435	13	error	error	NOUN
ap-5173	435	14	(	(	PUNCT
ap-5173	435	15	5	5	NUM
ap-5173	435	16	)	)	PUNCT
ap-5173	435	17	)	)	PUNCT
ap-5173	435	18	within	within	ADP
ap-5173	435	19	gradient	gradient	ADJ
ap-5173	435	20	optimization	optimization	NOUN
ap-5173	435	21	methods	method	NOUN
ap-5173	435	22	,	,	PUNCT
ap-5173	435	23	in	in	ADP
ap-5173	435	24	which	which	PRON
ap-5173	435	25	weighting	weight	VERB
ap-5173	435	26	and	and	CCONJ
ap-5173	435	27	threshold	threshold	NOUN
ap-5173	435	28	factors	factor	NOUN
ap-5173	435	29	are	be	AUX
ap-5173	435	30	recurrently	recurrently	ADV
ap-5173	435	31	updated	update	VERB
ap-5173	435	32	according	accord	VERB
ap-5173	435	33	to	to	ADP
ap-5173	435	34	following	follow	VERB
ap-5173	435	35	equations	equation	NOUN
ap-5173	435	36	[	[	X
ap-5173	435	37	27	27	NUM
ap-5173	435	38	]	]	X
ap-5173	435	39	:	:	PUNCT
ap-5173	435	40	w	w	X
ap-5173	435	41	(	(	PUNCT
ap-5173	435	42	k+1	k+1	NOUN
ap-5173	435	43	)	)	PUNCT
ap-5173	435	44	ij	ij	NOUN
ap-5173	435	45	=	=	SYM
ap-5173	435	46	w	w	PROPN
ap-5173	435	47	(	(	PUNCT
ap-5173	435	48	k	k	NOUN
ap-5173	435	49	)	)	PUNCT
ap-5173	435	50	ij	ij	NOUN
ap-5173	435	51	−	−	PROPN
ap-5173	435	52	λ	λ	INTJ
ap-5173	435	53	∂e	∂e	NOUN
ap-5173	435	54	∂wij	∂wij	NOUN
ap-5173	435	55	+	+	CCONJ
ap-5173	435	56	µ∆w(k	µ∆w(k	NOUN
ap-5173	435	57	)	)	PUNCT
ap-5173	435	58	ij	ij	NOUN
ap-5173	435	59	ϑ	ϑ	PROPN
ap-5173	435	60	(	(	PUNCT
ap-5173	435	61	k+1	k+1	NOUN
ap-5173	435	62	)	)	PUNCT
ap-5173	435	63	j	j	NOUN
ap-5173	436	1	=	=	SYM
ap-5173	436	2	ϑ	ϑ	X
ap-5173	436	3	(	(	PUNCT
ap-5173	436	4	k	k	NOUN
ap-5173	436	5	)	)	PUNCT
ap-5173	436	6	j	j	PROPN
ap-5173	437	1	−	−	PROPN
ap-5173	437	2	λ	λ	PROPN
ap-5173	437	3	∂e∂ϑj	∂e∂ϑj	PROPN
ap-5173	437	4	+	+	CCONJ
ap-5173	437	5	µ∆ϑ(k	µ∆ϑ(k	PROPN
ap-5173	437	6	)	)	PUNCT
ap-5173	437	7	j	j	PROPN
ap-5173	437	8	(	(	PUNCT
ap-5173	437	9	26	26	NUM
ap-5173	437	10	)	)	PUNCT
ap-5173	437	11	where	where	SCONJ
ap-5173	437	12	parameter	parameter	NOUN
ap-5173	437	13	λ	λ	PROPN
ap-5173	437	14	>	>	X
ap-5173	437	15	0	0	PUNCT
ap-5173	437	16	represents	represent	VERB
ap-5173	437	17	the	the	DET
ap-5173	437	18	learning	learning	NOUN
ap-5173	437	19	rate	rate	NOUN
ap-5173	437	20	and	and	CCONJ
ap-5173	437	21	must	must	AUX
ap-5173	437	22	be	be	AUX
ap-5173	437	23	small	small	ADJ
ap-5173	437	24	enough	enough	ADV
ap-5173	437	25	to	to	PART
ap-5173	437	26	ensure	ensure	VERB
ap-5173	437	27	the	the	DET
ap-5173	437	28	monotone	monotone	ADJ
ap-5173	437	29	convergence	convergence	NOUN
ap-5173	437	30	of	of	ADP
ap-5173	437	31	the	the	DET
ap-5173	437	32	optimization	optimization	NOUN
ap-5173	437	33	algorithm	algorithm	NOUN
ap-5173	437	34	and	and	CCONJ
ap-5173	437	35	,	,	PUNCT
ap-5173	437	36	at	at	ADP
ap-5173	437	37	the	the	DET
ap-5173	437	38	same	same	ADJ
ap-5173	437	39	time	time	NOUN
ap-5173	437	40	,	,	PUNCT
ap-5173	437	41	large	large	ADJ
ap-5173	437	42	enough	enough	ADV
ap-5173	437	43	to	to	PART
ap-5173	437	44	provide	provide	VERB
ap-5173	437	45	a	a	DET
ap-5173	437	46	sufficiently	sufficiently	ADV
ap-5173	437	47	high	high	ADJ
ap-5173	437	48	convergence	convergence	NOUN
ap-5173	437	49	rate	rate	NOUN
ap-5173	437	50	.	.	PUNCT
ap-5173	438	1	calculating	calculate	VERB
ap-5173	438	2	the	the	DET
ap-5173	438	3	partial	partial	ADJ
ap-5173	438	4	derivations	derivation	NOUN
ap-5173	438	5	∂e	∂e	NOUN
ap-5173	438	6	∂wij	∂wij	NOUN
ap-5173	438	7	and	and	CCONJ
ap-5173	438	8	∂e	∂e	PROPN
ap-5173	438	9	∂ϑj	∂ϑj	PROPN
ap-5173	438	10	for	for	ADP
ap-5173	438	11	the	the	DET
ap-5173	438	12	entire	entire	ADJ
ap-5173	438	13	nn	nn	NOUN
ap-5173	438	14	,	,	PUNCT
ap-5173	438	15	running	run	VERB
ap-5173	438	16	recurrently	recurrently	ADV
ap-5173	438	17	from	from	ADP
ap-5173	438	18	the	the	DET
ap-5173	438	19	highest	high	ADJ
ap-5173	438	20	to	to	ADP
ap-5173	438	21	the	the	DET
ap-5173	438	22	lowest	low	ADJ
ap-5173	438	23	layer	layer	NOUN
ap-5173	438	24	,	,	PUNCT
ap-5173	438	25	i.e.	i.e.	X
ap-5173	438	26	,	,	PUNCT
ap-5173	438	27	against	against	ADP
ap-5173	438	28	the	the	DET
ap-5173	438	29	direction	direction	NOUN
ap-5173	438	30	of	of	ADP
ap-5173	438	31	dissemination	dissemination	NOUN
ap-5173	438	32	of	of	ADP
ap-5173	438	33	information	information	NOUN
ap-5173	438	34	in	in	ADP
ap-5173	438	35	the	the	DET
ap-5173	438	36	nn	nn	NOUN
ap-5173	438	37	,	,	PUNCT
ap-5173	438	38	runs	run	VERB
ap-5173	438	39	from	from	ADP
ap-5173	438	40	the	the	DET
ap-5173	438	41	lowest	low	ADJ
ap-5173	438	42	to	to	ADP
ap-5173	438	43	the	the	DET
ap-5173	438	44	highest	high	ADJ
ap-5173	438	45	layer	layer	NOUN
ap-5173	438	46	.	.	PUNCT
ap-5173	439	1	initial	initial	ADJ
ap-5173	439	2	values	value	NOUN
ap-5173	439	3	of	of	ADP
ap-5173	439	4	the	the	DET
ap-5173	439	5	threshold	threshold	NOUN
ap-5173	439	6	and	and	CCONJ
ap-5173	439	7	weighting	weight	VERB
ap-5173	439	8	coefficients	coefficient	NOUN
ap-5173	439	9	ϑ(0	ϑ(0	PROPN
ap-5173	439	10	)	)	PUNCT
ap-5173	439	11	j	j	PROPN
ap-5173	439	12	and	and	CCONJ
ap-5173	439	13	w(0	w(0	PROPN
ap-5173	439	14	)	)	PUNCT
ap-5173	439	15	ij	ij	NOUN
ap-5173	439	16	are	be	AUX
ap-5173	439	17	randomly	randomly	ADV
ap-5173	439	18	generated	generate	VERB
ap-5173	439	19	from	from	ADP
ap-5173	439	20	a	a	DET
ap-5173	439	21	small	small	ADJ
ap-5173	439	22	center	center	NOUN
ap-5173	439	23	-	-	PUNCT
ap-5173	439	24	to	to	ADP
ap-5173	439	25	-	-	PUNCT
ap-5173	439	26	zero	zero	NUM
ap-5173	439	27	interval	interval	NOUN
ap-5173	439	28	e.g.	e.g.	ADV
ap-5173	439	29	,	,	PUNCT
ap-5173	439	30	from	from	ADP
ap-5173	439	31	an	an	DET
ap-5173	439	32	open	open	ADJ
ap-5173	439	33	interval	interval	NOUN
ap-5173	439	34	(	(	PUNCT
ap-5173	439	35	-1	-1	INTJ
ap-5173	439	36	,	,	PUNCT
ap-5173	439	37	1	1	NUM
ap-5173	439	38	)	)	PUNCT
ap-5173	439	39	.	.	PUNCT
ap-5173	440	1	the	the	DET
ap-5173	440	2	last	last	ADJ
ap-5173	440	3	member	member	NOUN
ap-5173	440	4	µ	µ	X
ap-5173	440	5	in	in	ADP
ap-5173	440	6	(	(	PUNCT
ap-5173	440	7	26	26	NUM
ap-5173	440	8	)	)	PUNCT
ap-5173	440	9	represents	represent	VERB
ap-5173	440	10	the	the	DET
ap-5173	440	11	socalled	socalled	ADJ
ap-5173	440	12	moment	moment	NOUN
ap-5173	440	13	member	member	NOUN
ap-5173	440	14	that	that	PRON
ap-5173	440	15	is	be	AUX
ap-5173	440	16	determined	determine	VERB
ap-5173	440	17	by	by	ADP
ap-5173	440	18	the	the	DET
ap-5173	440	19	difference	difference	NOUN
ap-5173	440	20	of	of	ADP
ap-5173	440	21	the	the	DET
ap-5173	440	22	coefficients	coefficient	NOUN
ap-5173	440	23	from	from	ADP
ap-5173	440	24	the	the	DET
ap-5173	440	25	last	last	ADJ
ap-5173	440	26	two	two	NUM
ap-5173	440	27	iterations	iteration	NOUN
ap-5173	440	28	,	,	PUNCT
ap-5173	440	29	∆w(k	∆w(k	PROPN
ap-5173	440	30	)	)	PUNCT
ap-5173	441	1	ij	ij	NOUN
ap-5173	441	2	=	=	SYM
ap-5173	441	3	w	w	PROPN
ap-5173	441	4	(	(	PUNCT
ap-5173	441	5	k	k	NOUN
ap-5173	441	6	)	)	PUNCT
ap-5173	441	7	ij	ij	NOUN
ap-5173	441	8	−	−	PROPN
ap-5173	441	9	w	w	PROPN
ap-5173	441	10	(	(	PUNCT
ap-5173	441	11	k−1	k−1	PROPN
ap-5173	441	12	)	)	PUNCT
ap-5173	441	13	ij	ij	NOUN
ap-5173	441	14	and	and	CCONJ
ap-5173	441	15	∆ϑ(k	∆ϑ(k	VERB
ap-5173	441	16	)	)	PUNCT
ap-5173	442	1	j	j	PROPN
ap-5173	442	2	=	=	SYM
ap-5173	442	3	ϑ	ϑ	X
ap-5173	442	4	(	(	PUNCT
ap-5173	442	5	k	k	NOUN
ap-5173	442	6	)	)	PUNCT
ap-5173	442	7	j	j	PROPN
ap-5173	442	8	−	−	PROPN
ap-5173	442	9	ϑ	ϑ	X
ap-5173	442	10	(	(	PUNCT
ap-5173	442	11	k−1	k−1	PROPN
ap-5173	442	12	)	)	PUNCT
ap-5173	442	13	j	j	PROPN
ap-5173	442	14	.	.	PUNCT
ap-5173	443	1	the	the	DET
ap-5173	443	2	momentum	momentum	NOUN
ap-5173	443	3	is	be	AUX
ap-5173	443	4	important	important	ADJ
ap-5173	443	5	for	for	ADP
ap-5173	443	6	the	the	DET
ap-5173	443	7	“	"	PUNCT
ap-5173	443	8	skip	skip	PROPN
ap-5173	443	9	”	"	PUNCT
ap-5173	443	10	of	of	ADP
ap-5173	443	11	the	the	DET
ap-5173	443	12	local	local	ADJ
ap-5173	443	13	minima	minima	NOUN
ap-5173	443	14	in	in	ADP
ap-5173	443	15	the	the	DET
ap-5173	443	16	initial	initial	ADJ
ap-5173	443	17	optimization	optimization	NOUN
ap-5173	443	18	phase	phase	NOUN
ap-5173	443	19	.	.	PUNCT
ap-5173	444	1	the	the	DET
ap-5173	444	2	value	value	NOUN
ap-5173	444	3	of	of	ADP
ap-5173	444	4	the	the	DET
ap-5173	444	5	parameter	parameter	NOUN
ap-5173	444	6	µ	µ	PROPN
ap-5173	444	7	is	be	AUX
ap-5173	444	8	usually	usually	ADV
ap-5173	444	9	chosen	choose	VERB
ap-5173	444	10	from	from	ADP
ap-5173	444	11	the	the	DET
ap-5173	444	12	interval	interval	NOUN
ap-5173	444	13	0.5	0.5	NUM
ap-5173	444	14	≤	≤	NOUN
ap-5173	444	15	µ	µ	PRON
ap-5173	444	16	≤	≤	NOUN
ap-5173	444	17	0.7	0.7	NUM
ap-5173	444	18	.	.	PUNCT
ap-5173	445	1	the	the	DET
ap-5173	445	2	adaptive	adaptive	ADJ
ap-5173	445	3	learning	learning	NOUN
ap-5173	445	4	rate	rate	NOUN
ap-5173	445	5	tries	try	VERB
ap-5173	445	6	to	to	PART
ap-5173	445	7	maintain	maintain	VERB
ap-5173	445	8	a	a	DET
ap-5173	445	9	stable	stable	ADJ
ap-5173	445	10	learning	learning	NOUN
ap-5173	445	11	and	and	CCONJ
ap-5173	445	12	a	a	DET
ap-5173	445	13	largest	large	ADJ
ap-5173	445	14	size	size	NOUN
ap-5173	445	15	of	of	ADP
ap-5173	445	16	the	the	DET
ap-5173	445	17	learning	learning	NOUN
ap-5173	445	18	step	step	NOUN
ap-5173	445	19	.	.	PUNCT
ap-5173	446	1	the	the	DET
ap-5173	446	2	mean	mean	ADJ
ap-5173	446	3	squared	square	VERB
ap-5173	446	4	error	error	NOUN
ap-5173	446	5	(	(	PUNCT
ap-5173	446	6	mse	mse	NOUN
ap-5173	446	7	)	)	PUNCT
ap-5173	446	8	was	be	AUX
ap-5173	446	9	used	use	VERB
ap-5173	446	10	as	as	ADP
ap-5173	446	11	the	the	DET
ap-5173	446	12	function	function	NOUN
ap-5173	446	13	for	for	ADP
ap-5173	446	14	the	the	DET
ap-5173	446	15	error	error	NOUN
ap-5173	446	16	calculating	calculate	VERB
ap-5173	446	17	during	during	ADP
ap-5173	446	18	the	the	DET
ap-5173	446	19	training	training	NOUN
ap-5173	446	20	.	.	PUNCT
ap-5173	447	1	the	the	DET
ap-5173	447	2	number	number	NOUN
ap-5173	447	3	of	of	ADP
ap-5173	447	4	hidden	hidden	ADJ
ap-5173	447	5	layers	layer	NOUN
ap-5173	447	6	and	and	CCONJ
ap-5173	447	7	neurons	neuron	NOUN
ap-5173	447	8	is	be	AUX
ap-5173	447	9	usually	usually	ADV
ap-5173	447	10	determined	determined	ADJ
ap-5173	447	11	on	on	ADP
ap-5173	447	12	the	the	DET
ap-5173	447	13	basis	basis	NOUN
ap-5173	447	14	of	of	ADP
ap-5173	447	15	experimentation	experimentation	NOUN
ap-5173	447	16	,	,	PUNCT
ap-5173	447	17	where	where	SCONJ
ap-5173	447	18	an	an	DET
ap-5173	447	19	nn	nn	PROPN
ap-5173	447	20	model	model	NOUN
ap-5173	447	21	is	be	AUX
ap-5173	447	22	selected	select	VERB
ap-5173	447	23	for	for	ADP
ap-5173	447	24	which	which	PRON
ap-5173	447	25	etest	et	ADJ
ap-5173	447	26	is	be	AUX
ap-5173	447	27	minimal	minimal	ADJ
ap-5173	447	28	.	.	PUNCT
ap-5173	448	1	however	however	ADV
ap-5173	448	2	,	,	PUNCT
ap-5173	448	3	a	a	DET
ap-5173	448	4	small	small	ADJ
ap-5173	448	5	number	number	NOUN
ap-5173	448	6	of	of	ADP
ap-5173	448	7	hidden	hidden	ADJ
ap-5173	448	8	layers	layer	NOUN
ap-5173	448	9	in	in	ADP
ap-5173	448	10	the	the	DET
ap-5173	448	11	nn	nn	PROPN
ap-5173	448	12	may	may	AUX
ap-5173	448	13	not	not	PART
ap-5173	448	14	well	well	ADV
ap-5173	448	15	model	model	VERB
ap-5173	448	16	non	non	NOUN
ap-5173	448	17	-	-	NOUN
ap-5173	448	18	linearities	linearity	NOUN
ap-5173	448	19	in	in	ADP
ap-5173	448	20	the	the	DET
ap-5173	448	21	data	datum	NOUN
ap-5173	448	22	.	.	PUNCT
ap-5173	449	1	it	it	PRON
ap-5173	449	2	is	be	AUX
ap-5173	449	3	,	,	PUNCT
ap-5173	449	4	therefore	therefore	ADV
ap-5173	449	5	,	,	PUNCT
ap-5173	449	6	necessary	necessary	ADJ
ap-5173	449	7	to	to	PART
ap-5173	449	8	look	look	VERB
ap-5173	449	9	for	for	ADP
ap-5173	449	10	an	an	DET
ap-5173	449	11	optimal	optimal	ADJ
ap-5173	449	12	number	number	NOUN
ap-5173	449	13	of	of	ADP
ap-5173	449	14	hidden	hidden	ADJ
ap-5173	449	15	neurons	neuron	NOUN
ap-5173	449	16	.	.	PUNCT
ap-5173	450	1	two	two	NUM
ap-5173	450	2	variants	variant	NOUN
ap-5173	450	3	of	of	ADP
ap-5173	450	4	the	the	DET
ap-5173	450	5	nn	nn	PROPN
ap-5173	450	6	,	,	PUNCT
ap-5173	450	7	i.e.	i.e.	X
ap-5173	450	8	,	,	PUNCT
ap-5173	450	9	with	with	ADP
ap-5173	450	10	one	one	NUM
ap-5173	450	11	and	and	CCONJ
ap-5173	450	12	two	two	NUM
ap-5173	450	13	hidden	hidden	ADJ
ap-5173	450	14	layers	layer	NOUN
ap-5173	450	15	,	,	PUNCT
ap-5173	450	16	were	be	AUX
ap-5173	450	17	used	use	VERB
ap-5173	450	18	,	,	PUNCT
ap-5173	450	19	but	but	CCONJ
ap-5173	450	20	the	the	DET
ap-5173	450	21	number	number	NOUN
ap-5173	450	22	of	of	ADP
ap-5173	450	23	neurons	neuron	NOUN
ap-5173	450	24	was	be	AUX
ap-5173	450	25	estimated	estimate	VERB
ap-5173	450	26	in	in	ADP
ap-5173	450	27	previous	previous	ADJ
ap-5173	450	28	experimentation	experimentation	NOUN
ap-5173	450	29	.	.	PUNCT
ap-5173	451	1	it	it	PRON
ap-5173	451	2	has	have	AUX
ap-5173	451	3	also	also	ADV
ap-5173	451	4	been	be	AUX
ap-5173	451	5	tried	try	VERB
ap-5173	451	6	to	to	PART
ap-5173	451	7	set	set	VERB
ap-5173	451	8	the	the	DET
ap-5173	451	9	number	number	NOUN
ap-5173	451	10	of	of	ADP
ap-5173	451	11	neurons	neuron	NOUN
ap-5173	451	12	in	in	ADP
ap-5173	451	13	the	the	DET
ap-5173	451	14	hidden	hide	VERB
ap-5173	451	15	layer	layer	NOUN
ap-5173	451	16	to	to	ADP
ap-5173	451	17	2	2	NUM
ap-5173	451	18	m	m	NOUN
ap-5173	451	19	+	+	NOUN
ap-5173	451	20	1	1	NUM
ap-5173	451	21	,	,	PUNCT
ap-5173	451	22	where	where	SCONJ
ap-5173	451	23	m	m	NOUN
ap-5173	451	24	is	be	AUX
ap-5173	451	25	the	the	DET
ap-5173	451	26	number	number	NOUN
ap-5173	451	27	of	of	ADP
ap-5173	451	28	input	input	NOUN
ap-5173	451	29	neurons	neuron	NOUN
ap-5173	451	30	.	.	PUNCT
ap-5173	452	1	in	in	ADP
ap-5173	452	2	all	all	DET
ap-5173	452	3	variants	variant	NOUN
ap-5173	452	4	that	that	PRON
ap-5173	452	5	were	be	AUX
ap-5173	452	6	tried	try	VERB
ap-5173	452	7	only	only	ADV
ap-5173	452	8	one	one	NUM
ap-5173	452	9	neuron	neuron	NOUN
ap-5173	452	10	in	in	ADP
ap-5173	452	11	the	the	DET
ap-5173	452	12	output	output	NOUN
ap-5173	452	13	layer	layer	NOUN
ap-5173	452	14	was	be	AUX
ap-5173	452	15	used	use	VERB
ap-5173	452	16	.	.	PUNCT
ap-5173	453	1	the	the	DET
ap-5173	453	2	momentum	momentum	NOUN
ap-5173	453	3	constant	constant	ADJ
ap-5173	453	4	was	be	AUX
ap-5173	453	5	set	set	VERB
ap-5173	453	6	-	-	PUNCT
ap-5173	453	7	up	up	NOUN
ap-5173	453	8	to	to	ADP
ap-5173	453	9	0.9	0.9	NUM
ap-5173	453	10	.	.	PUNCT
ap-5173	454	1	within	within	ADP
ap-5173	454	2	the	the	DET
ap-5173	454	3	results	result	NOUN
ap-5173	454	4	,	,	PUNCT
ap-5173	454	5	the	the	DET
ap-5173	454	6	goal	goal	NOUN
ap-5173	454	7	was	be	AUX
ap-5173	454	8	also	also	ADV
ap-5173	454	9	to	to	PART
ap-5173	454	10	show	show	VERB
ap-5173	454	11	what	what	DET
ap-5173	454	12	impact	impact	NOUN
ap-5173	454	13	has	have	VERB
ap-5173	454	14	the	the	DET
ap-5173	454	15	number	number	NOUN
ap-5173	454	16	of	of	ADP
ap-5173	454	17	hidden	hide	VERB
ap-5173	454	18	neurons	neuron	NOUN
ap-5173	454	19	on	on	ADP
ap-5173	454	20	the	the	DET
ap-5173	454	21	quality	quality	NOUN
ap-5173	454	22	of	of	ADP
ap-5173	454	23	prediction	prediction	NOUN
ap-5173	454	24	.	.	PUNCT
ap-5173	455	1	the	the	DET
ap-5173	455	2	results	result	NOUN
ap-5173	455	3	of	of	ADP
ap-5173	455	4	training	training	NOUN
ap-5173	455	5	and	and	CCONJ
ap-5173	455	6	testing	testing	NOUN
ap-5173	455	7	are	be	AUX
ap-5173	455	8	shown	show	VERB
ap-5173	455	9	in	in	ADP
ap-5173	455	10	table	table	NOUN
ap-5173	455	11	3	3	NUM
ap-5173	455	12	.	.	SYM
ap-5173	455	13	335	335	NUM
ap-5173	455	14	j.	j.	PROPN
ap-5173	455	15	kačur	kačur	PROPN
ap-5173	455	16	,	,	PUNCT
ap-5173	455	17	m.	m.	PROPN
ap-5173	455	18	durdán	durdán	PROPN
ap-5173	455	19	,	,	PUNCT
ap-5173	455	20	m.	m.	NOUN
ap-5173	455	21	laciak	laciak	NOUN
ap-5173	455	22	,	,	PUNCT
ap-5173	455	23	p.	p.	PROPN
ap-5173	455	24	flegner	flegner	PROPN
ap-5173	455	25	acta	acta	PROPN
ap-5173	455	26	polytechnica	polytechnica	PROPN
ap-5173	455	27	pr	pr	NOUN
ap-5173	456	1	ed	ed	NOUN
ap-5173	456	2	ic	ic	PROPN
ap-5173	456	3	te	te	PROPN
ap-5173	456	4	d	d	PROPN
ap-5173	456	5	va	va	PROPN
ap-5173	457	1	ria	ria	PROPN
ap-5173	457	2	bl	bl	PROPN
ap-5173	457	3	e	e	PROPN
ap-5173	457	4	h	h	NOUN
ap-5173	457	5	i	i	PROPN
ap-5173	457	6	d	d	PROPN
ap-5173	457	7	de	de	PROPN
ap-5173	457	8	n	n	X
ap-5173	457	9	la	la	ADV
ap-5173	457	10	ye	ye	NOUN
ap-5173	457	11	rs	rs	NOUN
ap-5173	457	12	n	n	AUX
ap-5173	457	13	um	um	INTJ
ap-5173	457	14	be	be	AUX
ap-5173	457	15	r	r	NOUN
ap-5173	457	16	of	of	ADP
ap-5173	457	17	ne	ne	X
ap-5173	457	18	ur	ur	VERB
ap-5173	457	19	on	on	ADP
ap-5173	457	20	s	s	PROPN
ap-5173	457	21	(	(	PUNCT
ap-5173	457	22	l	l	NOUN
ap-5173	457	23	1	1	NUM
ap-5173	457	24	:	:	PUNCT
ap-5173	457	25	l2	l2	NOUN
ap-5173	457	26	)	)	PUNCT
ap-5173	458	1	o	o	NOUN
ap-5173	458	2	bs	bs	INTJ
ap-5173	458	3	er	er	INTJ
ap-5173	458	4	va	va	NOUN
ap-5173	458	5	tio	tio	PROPN
ap-5173	458	6	ns	ns	INTJ
ap-5173	459	1	(	(	PUNCT
ap-5173	460	1	in	in	ADP
ap-5173	460	2	pu	pu	PROPN
ap-5173	460	3	ts	ts	ADV
ap-5173	460	4	)	)	PUNCT
ap-5173	460	5	tr	tr	VERB
ap-5173	460	6	ai	ai	PROPN
ap-5173	460	7	ni	ni	PROPN
ap-5173	460	8	ng	ng	PROPN
ap-5173	460	9	te	te	PROPN
ap-5173	460	10	st	st	PROPN
ap-5173	460	11	in	in	ADP
ap-5173	460	12	g	g	PROPN
ap-5173	460	13	r	r	NOUN
ap-5173	460	14	y	y	PROPN
ap-5173	460	15	y	y	PROPN
ap-5173	460	16	r2	r2	PROPN
ap-5173	461	1	y	y	PROPN
ap-5173	461	2	y	y	PROPN
ap-5173	461	3	r	r	NOUN
ap-5173	462	1	r	r	NOUN
ap-5173	462	2	m	m	VERB
ap-5173	462	3	se	se	X
ap-5173	462	4	(	(	PUNCT
ap-5173	462	5	%	%	NOUN
ap-5173	462	6	)	)	PUNCT
ap-5173	463	1	pi	pi	NOUN
ap-5173	463	2	m	m	PROPN
ap-5173	463	3	a	a	DET
ap-5173	463	4	pe	pe	X
ap-5173	463	5	(	(	PUNCT
ap-5173	463	6	%	%	NOUN
ap-5173	463	7	)	)	PUNCT
ap-5173	463	8	m	m	VERB
ap-5173	463	9	se	se	INTJ
ap-5173	463	10	r	r	NOUN
ap-5173	463	11	m	m	PROPN
ap-5173	463	12	se	se	PROPN
ap-5173	463	13	t	t	PROPN
ap-5173	464	1	i	i	PRON
ap-5173	464	2	m	m	VERB
ap-5173	464	3	e	e	X
ap-5173	464	4	(	(	PUNCT
ap-5173	464	5	s	s	NOUN
ap-5173	464	6	)	)	PUNCT
ap-5173	464	7	r	r	NOUN
ap-5173	464	8	y	y	PROPN
ap-5173	464	9	y	y	PROPN
ap-5173	464	10	2	2	NUM
ap-5173	464	11	ry	ry	NOUN
ap-5173	465	1	y	y	PROPN
ap-5173	465	2	r	r	NOUN
ap-5173	465	3	r	r	NOUN
ap-5173	465	4	m	m	VERB
ap-5173	465	5	se	se	X
ap-5173	465	6	(	(	PUNCT
ap-5173	465	7	%	%	NOUN
ap-5173	465	8	)	)	PUNCT
ap-5173	466	1	pi	pi	NOUN
ap-5173	466	2	m	m	PROPN
ap-5173	466	3	a	a	DET
ap-5173	466	4	pe	pe	X
ap-5173	466	5	(	(	PUNCT
ap-5173	466	6	%	%	NOUN
ap-5173	466	7	)	)	PUNCT
ap-5173	466	8	m	m	VERB
ap-5173	466	9	se	se	INTJ
ap-5173	466	10	r	r	NOUN
ap-5173	466	11	m	m	VERB
ap-5173	466	12	se	se	PROPN
ap-5173	466	13	te	te	ADP
ap-5173	466	14	m	m	PROPN
ap-5173	466	15	pe	pe	INTJ
ap-5173	466	16	ra	ra	PROPN
ap-5173	466	17	tu	tu	X
ap-5173	466	18	re	re	PROPN
ap-5173	466	19	2	2	NUM
ap-5173	466	20	50	50	NUM
ap-5173	466	21	00	00	NUM
ap-5173	467	1	:1	:1	SYM
ap-5173	467	2	5	5	NUM
ap-5173	467	3	c	c	NOUN
ap-5173	467	4	o	o	NOUN
ap-5173	467	5	,	,	PUNCT
ap-5173	468	1	c	c	NOUN
ap-5173	468	2	o	o	NOUN
ap-5173	468	3	2	2	NUM
ap-5173	468	4	0	0	NUM
ap-5173	468	5	.	.	PUNCT
ap-5173	468	6	27	27	NUM
ap-5173	469	1	07	07	NUM
ap-5173	469	2	0	0	NUM
ap-5173	469	3	.	.	PUNCT
ap-5173	470	1	07	07	NUM
ap-5173	470	2	33	33	NUM
ap-5173	470	3	8	8	NUM
ap-5173	470	4	.	.	PUNCT
ap-5173	470	5	00	00	NUM
ap-5173	471	1	62	62	NUM
ap-5173	471	2	6	6	NUM
ap-5173	471	3	.	.	NUM
ap-5173	471	4	30	30	NUM
ap-5173	471	5	08	08	NUM
ap-5173	471	6	6	6	NUM
ap-5173	471	7	.	.	X
ap-5173	472	1	41	41	NUM
ap-5173	472	2	08	08	NUM
ap-5173	472	3	64	64	NUM
ap-5173	472	4	84	84	NUM
ap-5173	472	5	.2	.2	NUM
ap-5173	472	6	53	53	NUM
ap-5173	472	7	7	7	NUM
ap-5173	472	8	80	80	NUM
ap-5173	472	9	.5	.5	NUM
ap-5173	472	10	24	24	NUM
ap-5173	472	11	9	9	NUM
ap-5173	472	12	44	44	NUM
ap-5173	472	13	.8	.8	NUM
ap-5173	472	14	31	31	NUM
ap-5173	472	15	2	2	NUM
ap-5173	472	16	0	0	NUM
ap-5173	472	17	.	.	PUNCT
ap-5173	473	1	19	19	NUM
ap-5173	473	2	85	85	NUM
ap-5173	473	3	0	0	NUM
ap-5173	473	4	.	.	PUNCT
ap-5173	473	5	03	03	NUM
ap-5173	473	6	94	94	NUM
ap-5173	473	7	8	8	NUM
ap-5173	473	8	.	.	PUNCT
ap-5173	474	1	68	68	NUM
ap-5173	474	2	18	18	NUM
ap-5173	474	3	7	7	NUM
ap-5173	474	4	.	.	NUM
ap-5173	474	5	24	24	NUM
ap-5173	474	6	40	40	NUM
ap-5173	474	7	7	7	NUM
ap-5173	474	8	.	.	X
ap-5173	474	9	27	27	NUM
ap-5173	475	1	07	07	NUM
ap-5173	475	2	69	69	NUM
ap-5173	475	3	38	38	NUM
ap-5173	475	4	.2	.2	NUM
ap-5173	475	5	15	15	NUM
ap-5173	475	6	3	3	NUM
ap-5173	475	7	83	83	NUM
ap-5173	475	8	.2	.2	NUM
ap-5173	475	9	96	96	NUM
ap-5173	475	10	0	0	NUM
ap-5173	475	11	2	2	NUM
ap-5173	475	12	50	50	NUM
ap-5173	475	13	00	00	NUM
ap-5173	476	1	:1	:1	SYM
ap-5173	476	2	5	5	NUM
ap-5173	476	3	c	c	NOUN
ap-5173	476	4	o	o	NOUN
ap-5173	476	5	,	,	PUNCT
ap-5173	476	6	c	c	NOUN
ap-5173	476	7	o	o	NOUN
ap-5173	476	8	2	2	NUM
ap-5173	476	9	,	,	PUNCT
ap-5173	476	10	h	h	NOUN
ap-5173	476	11	2	2	NUM
ap-5173	476	12	,	,	PUNCT
ap-5173	476	13	c	c	NOUN
ap-5173	476	14	h	h	NOUN
ap-5173	476	15	4	4	NUM
ap-5173	476	16	,	,	PUNCT
ap-5173	476	17	o	o	NOUN
ap-5173	476	18	2	2	NUM
ap-5173	476	19	0	0	NUM
ap-5173	476	20	.	.	PUNCT
ap-5173	477	1	05	05	NUM
ap-5173	478	1	67	67	NUM
ap-5173	478	2	0	0	NUM
ap-5173	478	3	.	.	PUNCT
ap-5173	478	4	00	00	NUM
ap-5173	479	1	32	32	NUM
ap-5173	479	2	11	11	NUM
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ap-5173	520	21	1	1	NUM
ap-5173	520	22	.	.	PUNCT
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ap-5173	521	2	04	04	NUM
ap-5173	521	3	1	1	NUM
ap-5173	521	4	.	.	PUNCT
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ap-5173	523	2	0	0	NUM
ap-5173	523	3	.	.	PUNCT
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ap-5173	525	2	0	0	NUM
ap-5173	525	3	.	.	PUNCT
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ap-5173	527	9	.	.	PUNCT
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ap-5173	527	14	.	.	PUNCT
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ap-5173	528	5	o	o	NOUN
ap-5173	528	6	,	,	PUNCT
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ap-5173	529	2	o	o	NOUN
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ap-5173	529	5	.	.	PUNCT
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ap-5173	530	3	0	0	NUM
ap-5173	530	4	.	.	PUNCT
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ap-5173	531	4	.	.	PUNCT
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ap-5173	532	4	.	.	PUNCT
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ap-5173	533	4	.	.	PUNCT
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ap-5173	534	12	0	0	NUM
ap-5173	534	13	.	.	PUNCT
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ap-5173	535	3	0	0	NUM
ap-5173	535	4	.	.	PUNCT
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ap-5173	536	4	.	.	PUNCT
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ap-5173	536	8	.	.	PUNCT
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ap-5173	537	4	.	.	PUNCT
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ap-5173	537	8	.	.	X
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ap-5173	538	5	.0	.0	NUM
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ap-5173	538	16	,	,	PUNCT
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ap-5173	538	18	o	o	NOUN
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ap-5173	538	20	,	,	PUNCT
ap-5173	538	21	h	h	NOUN
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ap-5173	538	23	,	,	PUNCT
ap-5173	538	24	c	c	NOUN
ap-5173	538	25	h	h	NOUN
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ap-5173	538	27	,	,	PUNCT
ap-5173	538	28	o	o	NOUN
ap-5173	538	29	2	2	NUM
ap-5173	538	30	0	0	NUM
ap-5173	538	31	.	.	PUNCT
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ap-5173	539	3	0	0	NUM
ap-5173	539	4	.	.	PUNCT
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ap-5173	540	4	.	.	NUM
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ap-5173	540	8	.	.	NUM
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ap-5173	540	12	.	.	PUNCT
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ap-5173	540	19	2	2	NUM
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ap-5173	540	24	0	0	NUM
ap-5173	540	25	.	.	PUNCT
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ap-5173	541	4	.	.	PUNCT
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ap-5173	541	8	.	.	PUNCT
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ap-5173	542	4	.	.	X
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ap-5173	542	7	4	4	NUM
ap-5173	542	8	.	.	PUNCT
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ap-5173	543	4	.	.	PUNCT
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ap-5173	543	18	or	or	CCONJ
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ap-5173	543	21	va	va	PROPN
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ap-5173	543	23	e	e	PROPN
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ap-5173	544	1	:1	:1	SYM
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ap-5173	544	5	,	,	PUNCT
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ap-5173	544	9	.	.	PUNCT
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ap-5173	544	13	.	.	PUNCT
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ap-5173	544	19	0	0	NUM
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ap-5173	544	29	.	.	NOUN
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ap-5173	544	33	.	.	X
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ap-5173	544	41	.	.	PUNCT
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ap-5173	545	3	.	.	PUNCT
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ap-5173	546	18	3	3	NUM
ap-5173	546	19	.	.	NOUN
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ap-5173	547	1	:1	:1	SYM
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ap-5173	547	3	a	a	DET
ap-5173	547	4	ir	ir	NOUN
ap-5173	547	5	,	,	PUNCT
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ap-5173	547	7	2	2	NUM
ap-5173	547	8	,	,	PUNCT
ap-5173	547	9	o	o	PROPN
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ap-5173	547	12	t	t	PROPN
ap-5173	547	13	pr	pr	NOUN
ap-5173	547	14	es	es	X
ap-5173	547	15	su	su	PROPN
ap-5173	547	16	re	re	PROPN
ap-5173	547	17	0	0	NUM
ap-5173	547	18	.	.	PROPN
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ap-5173	547	21	0	0	NUM
ap-5173	547	22	.	.	PUNCT
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ap-5173	548	5	.	.	PUNCT
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ap-5173	548	9	6	6	NUM
ap-5173	548	10	.	.	PUNCT
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ap-5173	548	15	.	.	NUM
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ap-5173	548	19	4	4	NUM
ap-5173	548	20	.	.	PUNCT
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ap-5173	549	12	.	.	PUNCT
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ap-5173	550	4	.	.	PUNCT
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ap-5173	551	16	.	.	PUNCT
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ap-5173	553	8	0	0	NUM
ap-5173	553	9	:	:	PUNCT
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ap-5173	553	13	,	,	PUNCT
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ap-5173	553	17	.	.	PUNCT
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ap-5173	554	4	.	.	PUNCT
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ap-5173	555	16	.	.	X
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ap-5173	555	20	.	.	PUNCT
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ap-5173	555	24	.	.	PUNCT
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ap-5173	555	28	.	.	PUNCT
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ap-5173	555	32	.	.	PUNCT
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ap-5173	562	8	.	.	X
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ap-5173	562	12	.	.	PUNCT
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ap-5173	562	17	0	0	NUM
ap-5173	562	18	:	:	PUNCT
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ap-5173	562	21	ir	ir	NOUN
ap-5173	562	22	,	,	PUNCT
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ap-5173	565	20	.	.	PUNCT
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ap-5173	565	28	.	.	PUNCT
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ap-5173	565	32	.	.	PUNCT
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ap-5173	566	14	6	6	NUM
ap-5173	566	15	4	4	NUM
ap-5173	566	16	.	.	PUNCT
ap-5173	567	1	58	58	NUM
ap-5173	567	2	77	77	NUM
ap-5173	567	3	2	2	NUM
ap-5173	567	4	.	.	X
ap-5173	567	5	14	14	NUM
ap-5173	567	6	19	19	NUM
ap-5173	567	7	1	1	NUM
ap-5173	567	8	50	50	NUM
ap-5173	567	9	00	00	NUM
ap-5173	567	10	a	a	DET
ap-5173	567	11	ir	ir	PROPN
ap-5173	567	12	,	,	PUNCT
ap-5173	567	13	o	o	NOUN
ap-5173	567	14	2	2	NUM
ap-5173	567	15	0	0	NUM
ap-5173	567	16	.	.	PUNCT
ap-5173	567	17	03	03	NUM
ap-5173	567	18	98	98	NUM
ap-5173	567	19	0	0	NUM
ap-5173	567	20	.	.	PUNCT
ap-5173	567	21	00	00	NUM
ap-5173	568	1	16	16	NUM
ap-5173	568	2	15	15	NUM
ap-5173	568	3	9	9	NUM
ap-5173	568	4	.	.	PUNCT
ap-5173	568	5	12	12	NUM
ap-5173	568	6	70	70	NUM
ap-5173	568	7	15	15	NUM
ap-5173	568	8	3	3	NUM
ap-5173	568	9	.	.	NOUN
ap-5173	568	10	03	03	NUM
ap-5173	568	11	06	06	NUM
ap-5173	568	12	18	18	NUM
ap-5173	568	13	3	3	NUM
ap-5173	568	14	.	.	NOUN
ap-5173	568	15	30	30	NUM
ap-5173	568	16	15	15	NUM
ap-5173	568	17	21	21	NUM
ap-5173	568	18	9	9	NUM
ap-5173	568	19	.	.	PUNCT
ap-5173	568	20	23	23	NUM
ap-5173	568	21	21	21	NUM
ap-5173	568	22	14	14	NUM
ap-5173	568	23	.8	.8	NUM
ap-5173	568	24	06	06	NUM
ap-5173	568	25	5	5	NUM
ap-5173	568	26	44	44	NUM
ap-5173	568	27	.2	.2	NUM
ap-5173	568	28	14	14	NUM
ap-5173	568	29	6	6	NUM
ap-5173	568	30	0	0	NUM
ap-5173	568	31	.	.	PUNCT
ap-5173	569	1	14	14	NUM
ap-5173	569	2	74	74	NUM
ap-5173	569	3	0	0	NUM
ap-5173	569	4	.	.	PUNCT
ap-5173	570	1	02	02	NUM
ap-5173	570	2	17	17	NUM
ap-5173	570	3	17	17	NUM
ap-5173	570	4	3	3	NUM
ap-5173	570	5	.	.	NOUN
ap-5173	570	6	39	39	NUM
ap-5173	570	7	74	74	NUM
ap-5173	570	8	15	15	NUM
ap-5173	570	9	1	1	NUM
ap-5173	570	10	.	.	PUNCT
ap-5173	570	11	12	12	NUM
ap-5173	570	12	07	07	NUM
ap-5173	570	13	14	14	NUM
ap-5173	570	14	8	8	NUM
ap-5173	570	15	.	.	PUNCT
ap-5173	571	1	02	02	NUM
ap-5173	572	1	62	62	NUM
ap-5173	572	2	40	40	NUM
ap-5173	572	3	2	2	NUM
ap-5173	572	4	.	.	NOUN
ap-5173	572	5	90	90	NUM
ap-5173	572	6	98	98	NUM
ap-5173	572	7	20	20	NUM
ap-5173	572	8	.0	.0	NUM
ap-5173	572	9	72	72	NUM
ap-5173	572	10	6	6	NUM
ap-5173	572	11	1	1	NUM
ap-5173	572	12	50	50	NUM
ap-5173	572	13	00	00	NUM
ap-5173	572	14	a	a	DET
ap-5173	572	15	ir	ir	PROPN
ap-5173	572	16	,	,	PUNCT
ap-5173	572	17	o	o	NOUN
ap-5173	572	18	2	2	NUM
ap-5173	572	19	,	,	PUNCT
ap-5173	572	20	o	o	PROPN
ap-5173	572	21	ut	ut	PROPN
ap-5173	572	22	le	le	PROPN
ap-5173	572	23	t	t	PROPN
ap-5173	572	24	pr	pr	NOUN
ap-5173	572	25	es	es	X
ap-5173	572	26	su	su	PROPN
ap-5173	572	27	re	re	PROPN
ap-5173	572	28	0	0	NUM
ap-5173	572	29	.	.	PUNCT
ap-5173	573	1	23	23	NUM
ap-5173	573	2	39	39	NUM
ap-5173	573	3	0	0	NUM
ap-5173	573	4	.	.	PUNCT
ap-5173	574	1	05	05	NUM
ap-5173	575	1	47	47	NUM
ap-5173	575	2	13	13	NUM
ap-5173	575	3	3	3	NUM
ap-5173	575	4	.	.	NOUN
ap-5173	575	5	33	33	NUM
ap-5173	575	6	27	27	NUM
ap-5173	575	7	10	10	NUM
ap-5173	575	8	8	8	NUM
ap-5173	575	9	.	.	PUNCT
ap-5173	575	10	06	06	NUM
ap-5173	575	11	00	00	NUM
ap-5173	575	12	13	13	NUM
ap-5173	575	13	5	5	NUM
ap-5173	575	14	.	.	PUNCT
ap-5173	575	15	64	64	NUM
ap-5173	575	16	04	04	NUM
ap-5173	575	17	15	15	NUM
ap-5173	575	18	3	3	NUM
ap-5173	575	19	.	.	NOUN
ap-5173	575	20	91	91	NUM
ap-5173	575	21	82	82	NUM
ap-5173	575	22	12	12	NUM
ap-5173	575	23	.4	.4	NUM
ap-5173	575	24	06	06	NUM
ap-5173	575	25	4	4	NUM
ap-5173	575	26	44	44	NUM
ap-5173	575	27	.6	.6	NUM
ap-5173	575	28	76	76	NUM
ap-5173	575	29	0	0	NUM
ap-5173	575	30	0	0	NUM
ap-5173	575	31	.	.	NUM
ap-5173	575	32	49	49	NUM
ap-5173	575	33	76	76	NUM
ap-5173	575	34	0	0	NUM
ap-5173	575	35	.	.	X
ap-5173	576	1	24	24	NUM
ap-5173	576	2	76	76	NUM
ap-5173	576	3	13	13	NUM
ap-5173	576	4	9	9	NUM
ap-5173	576	5	.	.	NUM
ap-5173	576	6	36	36	NUM
ap-5173	576	7	64	64	NUM
ap-5173	576	8	93	93	NUM
ap-5173	576	9	.0	.0	NUM
ap-5173	576	10	57	57	NUM
ap-5173	576	11	1	1	NUM
ap-5173	576	12	11	11	NUM
ap-5173	576	13	3	3	NUM
ap-5173	576	14	.	.	NOUN
ap-5173	576	15	27	27	NUM
ap-5173	576	16	22	22	NUM
ap-5173	576	17	26	26	NUM
ap-5173	576	18	0	0	NUM
ap-5173	576	19	.	.	PUNCT
ap-5173	577	1	27	27	NUM
ap-5173	577	2	89	89	NUM
ap-5173	577	3	16	16	NUM
ap-5173	577	4	.1	.1	NUM
ap-5173	577	5	33	33	NUM
ap-5173	577	6	2	2	NUM
ap-5173	577	7	1	1	NUM
ap-5173	577	8	80	80	NUM
ap-5173	577	9	0	0	NUM
ap-5173	577	10	a	a	DET
ap-5173	577	11	ir	ir	NOUN
ap-5173	577	12	,	,	PUNCT
ap-5173	577	13	o	o	NOUN
ap-5173	577	14	2	2	NUM
ap-5173	577	15	0	0	NUM
ap-5173	577	16	.	.	PUNCT
ap-5173	578	1	41	41	NUM
ap-5173	578	2	06	06	NUM
ap-5173	578	3	0	0	NUM
ap-5173	578	4	.	.	PUNCT
ap-5173	579	1	16	16	NUM
ap-5173	579	2	86	86	NUM
ap-5173	579	3	55	55	NUM
ap-5173	579	4	.1	.1	NUM
ap-5173	579	5	18	18	NUM
ap-5173	579	6	8	8	NUM
ap-5173	579	7	39	39	NUM
ap-5173	579	8	.0	.0	NUM
ap-5173	579	9	76	76	NUM
ap-5173	579	10	1	1	NUM
ap-5173	579	11	61	61	NUM
ap-5173	579	12	.2	.2	NUM
ap-5173	579	13	30	30	NUM
ap-5173	579	14	8	8	NUM
ap-5173	579	15	26	26	NUM
ap-5173	579	16	.3	.3	NUM
ap-5173	579	17	03	03	NUM
ap-5173	579	18	6	6	NUM
ap-5173	579	19	5	5	NUM
ap-5173	579	20	.	.	PUNCT
ap-5173	579	21	12	12	NUM
ap-5173	579	22	87	87	NUM
ap-5173	579	23	7	7	NUM
ap-5173	579	24	.	.	PUNCT
ap-5173	579	25	73	73	NUM
ap-5173	579	26	48	48	NUM
ap-5173	579	27	0	0	NUM
ap-5173	579	28	.	.	PUNCT
ap-5173	579	29	18	18	NUM
ap-5173	579	30	19	19	NUM
ap-5173	579	31	0	0	NUM
ap-5173	579	32	.	.	PUNCT
ap-5173	579	33	03	03	NUM
ap-5173	579	34	31	31	NUM
ap-5173	579	35	87	87	NUM
ap-5173	579	36	.2	.2	NUM
ap-5173	579	37	72	72	NUM
ap-5173	579	38	9	9	NUM
ap-5173	579	39	73	73	NUM
ap-5173	579	40	.8	.8	NUM
ap-5173	579	41	42	42	NUM
ap-5173	579	42	9	9	NUM
ap-5173	579	43	75	75	NUM
ap-5173	579	44	.1	.1	NUM
ap-5173	579	45	44	44	NUM
ap-5173	579	46	2	2	NUM
ap-5173	579	47	10	10	NUM
ap-5173	579	48	2	2	NUM
ap-5173	579	49	.	.	NUM
ap-5173	579	50	06	06	NUM
ap-5173	579	51	61	61	NUM
ap-5173	579	52	10	10	NUM
ap-5173	579	53	.1	.1	NUM
ap-5173	579	54	02	02	NUM
ap-5173	579	55	8	8	NUM
ap-5173	579	56	1	1	NUM
ap-5173	579	57	80	80	NUM
ap-5173	579	58	0	0	NUM
ap-5173	579	59	a	a	DET
ap-5173	579	60	ir	ir	NOUN
ap-5173	579	61	,	,	PUNCT
ap-5173	579	62	o	o	NOUN
ap-5173	579	63	2	2	NUM
ap-5173	579	64	,	,	PUNCT
ap-5173	579	65	o	o	PROPN
ap-5173	579	66	ut	ut	PROPN
ap-5173	579	67	le	le	PROPN
ap-5173	579	68	t	t	PROPN
ap-5173	579	69	pr	pr	NOUN
ap-5173	579	70	es	es	X
ap-5173	579	71	su	su	PROPN
ap-5173	579	72	re	re	PROPN
ap-5173	579	73	0	0	NUM
ap-5173	579	74	.	.	PUNCT
ap-5173	580	1	45	45	NUM
ap-5173	580	2	90	90	NUM
ap-5173	580	3	0	0	NUM
ap-5173	580	4	.	.	PUNCT
ap-5173	581	1	21	21	NUM
ap-5173	581	2	07	07	NUM
ap-5173	581	3	51	51	NUM
ap-5173	581	4	.0	.0	NUM
ap-5173	581	5	45	45	NUM
ap-5173	581	6	8	8	NUM
ap-5173	581	7	34	34	NUM
ap-5173	581	8	.9	.9	NUM
ap-5173	581	9	87	87	NUM
ap-5173	581	10	4	4	NUM
ap-5173	581	11	51	51	NUM
ap-5173	581	12	.7	.7	NUM
ap-5173	581	13	01	01	NUM
ap-5173	581	14	3	3	NUM
ap-5173	581	15	22	22	NUM
ap-5173	581	16	.5	.5	NUM
ap-5173	581	17	59	59	NUM
ap-5173	581	18	9	9	NUM
ap-5173	581	19	4	4	NUM
ap-5173	581	20	.	.	X
ap-5173	581	21	74	74	NUM
ap-5173	581	22	97	97	NUM
ap-5173	581	23	7	7	NUM
ap-5173	581	24	.	.	PUNCT
ap-5173	581	25	94	94	NUM
ap-5173	581	26	96	96	NUM
ap-5173	581	27	0	0	NUM
ap-5173	581	28	.	.	PUNCT
ap-5173	582	1	66	66	NUM
ap-5173	582	2	93	93	NUM
ap-5173	582	3	0	0	NUM
ap-5173	582	4	.	.	PUNCT
ap-5173	583	1	44	44	NUM
ap-5173	583	2	79	79	NUM
ap-5173	583	3	57	57	NUM
ap-5173	583	4	.1	.1	NUM
ap-5173	583	5	71	71	NUM
ap-5173	583	6	8	8	NUM
ap-5173	583	7	34	34	NUM
ap-5173	583	8	.2	.2	NUM
ap-5173	583	9	49	49	NUM
ap-5173	583	10	6	6	NUM
ap-5173	583	11	47	47	NUM
ap-5173	583	12	.0	.0	NUM
ap-5173	583	13	39	39	NUM
ap-5173	583	14	3	3	NUM
ap-5173	583	15	43	43	NUM
ap-5173	583	16	.8	.8	NUM
ap-5173	583	17	01	01	NUM
ap-5173	583	18	3	3	NUM
ap-5173	583	19	6	6	NUM
ap-5173	583	20	.	.	PUNCT
ap-5173	583	21	61	61	NUM
ap-5173	583	22	83	83	NUM
ap-5173	583	23	1	1	NUM
ap-5173	583	24	5	5	NUM
ap-5173	583	25	a	a	DET
ap-5173	583	26	ir	ir	NOUN
ap-5173	583	27	,	,	PUNCT
ap-5173	583	28	o	o	NOUN
ap-5173	583	29	2	2	NUM
ap-5173	583	30	0	0	NUM
ap-5173	583	31	.	.	PUNCT
ap-5173	583	32	67	67	NUM
ap-5173	583	33	14	14	NUM
ap-5173	583	34	0	0	NUM
ap-5173	583	35	.	.	PUNCT
ap-5173	584	1	45	45	NUM
ap-5173	584	2	07	07	NUM
ap-5173	584	3	24	24	NUM
ap-5173	584	4	.9	.9	NUM
ap-5173	584	5	07	07	NUM
ap-5173	584	6	6	6	NUM
ap-5173	584	7	14	14	NUM
ap-5173	584	8	.9	.9	NUM
ap-5173	584	9	02	02	NUM
ap-5173	584	10	5	5	NUM
ap-5173	584	11	32	32	NUM
ap-5173	584	12	.9	.9	NUM
ap-5173	584	13	43	43	NUM
ap-5173	584	14	5	5	NUM
ap-5173	584	15	5	5	NUM
ap-5173	584	16	.	.	PUNCT
ap-5173	584	17	37	37	NUM
ap-5173	584	18	13	13	NUM
ap-5173	584	19	2	2	NUM
ap-5173	584	20	.	.	PUNCT
ap-5173	584	21	31	31	NUM
ap-5173	584	22	76	76	NUM
ap-5173	584	23	0	0	NUM
ap-5173	584	24	.	.	PUNCT
ap-5173	585	1	96	96	NUM
ap-5173	585	2	49	49	NUM
ap-5173	585	3	0	0	NUM
ap-5173	585	4	.	.	PUNCT
ap-5173	585	5	04	04	NUM
ap-5173	586	1	01	01	NUM
ap-5173	586	2	0	0	NUM
ap-5173	586	3	.	.	PUNCT
ap-5173	586	4	00	00	NUM
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ap-5173	587	3	.8	.8	NUM
ap-5173	587	4	08	08	NUM
ap-5173	587	5	2	2	NUM
ap-5173	587	6	19	19	NUM
ap-5173	587	7	.0	.0	NUM
ap-5173	587	8	44	44	NUM
ap-5173	587	9	5	5	NUM
ap-5173	587	10	22	22	NUM
ap-5173	587	11	.9	.9	NUM
ap-5173	587	12	76	76	NUM
ap-5173	587	13	6	6	NUM
ap-5173	587	14	5	5	NUM
ap-5173	587	15	.	.	PUNCT
ap-5173	587	16	25	25	NUM
ap-5173	587	17	79	79	NUM
ap-5173	587	18	2	2	NUM
ap-5173	587	19	.	.	NOUN
ap-5173	587	20	29	29	NUM
ap-5173	587	21	30	30	NUM
ap-5173	587	22	1	1	NUM
ap-5173	587	23	7	7	NUM
ap-5173	587	24	a	a	DET
ap-5173	587	25	ir	ir	NOUN
ap-5173	587	26	,	,	PUNCT
ap-5173	587	27	o	o	NOUN
ap-5173	587	28	2	2	NUM
ap-5173	587	29	,	,	PUNCT
ap-5173	587	30	o	o	PROPN
ap-5173	587	31	ut	ut	PROPN
ap-5173	587	32	le	le	PROPN
ap-5173	587	33	t	t	PROPN
ap-5173	587	34	pr	pr	NOUN
ap-5173	587	35	es	es	X
ap-5173	587	36	su	su	PROPN
ap-5173	587	37	re	re	PROPN
ap-5173	587	38	0	0	NUM
ap-5173	587	39	.	.	PUNCT
ap-5173	587	40	72	72	NUM
ap-5173	587	41	81	81	NUM
ap-5173	587	42	0	0	NUM
ap-5173	587	43	.	.	PUNCT
ap-5173	588	1	53	53	NUM
ap-5173	588	2	01	01	NUM
ap-5173	588	3	23	23	NUM
ap-5173	588	4	.0	.0	NUM
ap-5173	588	5	70	70	NUM
ap-5173	588	6	7	7	NUM
ap-5173	588	7	13	13	NUM
ap-5173	588	8	.3	.3	NUM
ap-5173	588	9	50	50	NUM
ap-5173	588	10	3	3	NUM
ap-5173	588	11	28	28	NUM
ap-5173	588	12	.6	.6	NUM
ap-5173	588	13	97	97	NUM
ap-5173	588	14	4	4	NUM
ap-5173	588	15	4	4	NUM
ap-5173	588	16	.	.	PUNCT
ap-5173	589	1	60	60	NUM
ap-5173	589	2	83	83	NUM
ap-5173	589	3	2	2	NUM
ap-5173	589	4	.	.	NUM
ap-5173	589	5	14	14	NUM
ap-5173	589	6	67	67	NUM
ap-5173	589	7	1	1	NUM
ap-5173	589	8	.	.	X
ap-5173	589	9	03	03	NUM
ap-5173	589	10	06	06	NUM
ap-5173	589	11	0	0	NUM
ap-5173	589	12	.	.	PUNCT
ap-5173	590	1	71	71	NUM
ap-5173	590	2	87	87	NUM
ap-5173	590	3	0	0	NUM
ap-5173	590	4	.	.	PUNCT
ap-5173	591	1	51	51	NUM
ap-5173	591	2	66	66	NUM
ap-5173	591	3	15	15	NUM
ap-5173	591	4	.8	.8	NUM
ap-5173	591	5	21	21	NUM
ap-5173	591	6	9	9	NUM
ap-5173	591	7	9	9	NUM
ap-5173	591	8	.	.	NOUN
ap-5173	591	9	20	20	NUM
ap-5173	591	10	55	55	NUM
ap-5173	591	11	16	16	NUM
ap-5173	591	12	.8	.8	NUM
ap-5173	591	13	80	80	NUM
ap-5173	591	14	4	4	NUM
ap-5173	591	15	3	3	NUM
ap-5173	591	16	.	.	NOUN
ap-5173	591	17	35	35	NUM
ap-5173	591	18	46	46	NUM
ap-5173	591	19	1	1	NUM
ap-5173	591	20	.	.	NUM
ap-5173	591	21	83	83	NUM
ap-5173	591	22	16	16	NUM
ap-5173	591	23	table	table	NOUN
ap-5173	591	24	3	3	NUM
ap-5173	591	25	.	.	PUNCT
ap-5173	591	26	results	result	NOUN
ap-5173	591	27	of	of	ADP
ap-5173	591	28	simulations	simulation	NOUN
ap-5173	591	29	with	with	ADP
ap-5173	591	30	nns	nn	NOUN
ap-5173	591	31	where	where	SCONJ
ap-5173	591	32	10	10	NUM
ap-5173	591	33	%	%	NOUN
ap-5173	591	34	of	of	ADP
ap-5173	591	35	the	the	DET
ap-5173	591	36	experiment	experiment	NOUN
ap-5173	591	37	was	be	AUX
ap-5173	591	38	used	use	VERB
ap-5173	591	39	to	to	PART
ap-5173	591	40	test	test	VERB
ap-5173	591	41	.	.	PUNCT
ap-5173	592	1	336	336	NUM
ap-5173	592	2	vol	vol	NOUN
ap-5173	592	3	.	.	PUNCT
ap-5173	593	1	59	59	NUM
ap-5173	593	2	no	no	NOUN
ap-5173	593	3	.	.	PUNCT
ap-5173	594	1	4/2019	4/2019	NUM
ap-5173	594	2	a	a	DET
ap-5173	594	3	comparative	comparative	ADJ
ap-5173	594	4	study	study	NOUN
ap-5173	594	5	of	of	ADP
ap-5173	594	6	data	data	NOUN
ap-5173	594	7	-	-	PUNCT
ap-5173	594	8	driven	drive	VERB
ap-5173	594	9	modeling	modeling	NOUN
ap-5173	594	10	methods	method	NOUN
ap-5173	594	11	.	.	PUNCT
ap-5173	594	12	.	.	PUNCT
ap-5173	594	13	.	.	PUNCT
ap-5173	595	1	figure	figure	VERB
ap-5173	595	2	7	7	NUM
ap-5173	595	3	.	.	PUNCT
ap-5173	596	1	proposal	proposal	NOUN
ap-5173	596	2	of	of	ADP
ap-5173	596	3	neural	neural	ADJ
ap-5173	596	4	network	network	NOUN
ap-5173	596	5	considered	consider	VERB
ap-5173	596	6	for	for	ADP
ap-5173	596	7	ucg	ucg	PROPN
ap-5173	596	8	data	data	PROPN
ap-5173	596	9	prediction	prediction	NOUN
ap-5173	596	10	.	.	PUNCT
ap-5173	597	1	when	when	SCONJ
ap-5173	597	2	training	training	NOUN
ap-5173	597	3	and	and	CCONJ
ap-5173	597	4	testing	test	VERB
ap-5173	597	5	the	the	DET
ap-5173	597	6	prediction	prediction	NOUN
ap-5173	597	7	of	of	ADP
ap-5173	597	8	underground	underground	ADJ
ap-5173	597	9	temperature	temperature	NOUN
ap-5173	597	10	,	,	PUNCT
ap-5173	597	11	it	it	PRON
ap-5173	597	12	can	can	AUX
ap-5173	597	13	be	be	AUX
ap-5173	597	14	seen	see	VERB
ap-5173	597	15	that	that	SCONJ
ap-5173	597	16	the	the	DET
ap-5173	597	17	lowest	low	ADJ
ap-5173	597	18	values	value	NOUN
ap-5173	597	19	of	of	ADP
ap-5173	597	20	statistic	statistic	ADJ
ap-5173	597	21	indicators	indicator	NOUN
ap-5173	597	22	(	(	PUNCT
ap-5173	597	23	i.e.	i.e.	X
ap-5173	597	24	,	,	PUNCT
ap-5173	597	25	rrmse	rrmse	NOUN
ap-5173	597	26	,	,	PUNCT
ap-5173	597	27	mse	mse	NOUN
ap-5173	597	28	,	,	PUNCT
ap-5173	597	29	mape	mape	NOUN
ap-5173	597	30	,	,	PUNCT
ap-5173	597	31	and	and	CCONJ
ap-5173	597	32	rmse	rmse	NOUN
ap-5173	597	33	)	)	PUNCT
ap-5173	597	34	were	be	AUX
ap-5173	597	35	obtained	obtain	VERB
ap-5173	597	36	in	in	ADP
ap-5173	597	37	the	the	DET
ap-5173	597	38	case	case	NOUN
ap-5173	597	39	of	of	ADP
ap-5173	597	40	one	one	NUM
ap-5173	597	41	hidden	hide	VERB
ap-5173	597	42	layer	layer	NOUN
ap-5173	597	43	with	with	ADP
ap-5173	597	44	11	11	NUM
ap-5173	597	45	neurons	neuron	NOUN
ap-5173	597	46	(	(	PUNCT
ap-5173	597	47	i.e.	i.e.	X
ap-5173	597	48	,	,	PUNCT
ap-5173	597	49	2m+1	2m+1	PROPN
ap-5173	597	50	,	,	PUNCT
ap-5173	597	51	according	accord	VERB
ap-5173	597	52	to	to	ADP
ap-5173	597	53	a	a	DET
ap-5173	597	54	general	general	ADJ
ap-5173	597	55	recommendation	recommendation	NOUN
ap-5173	597	56	,	,	PUNCT
ap-5173	597	57	where	where	SCONJ
ap-5173	597	58	m	m	NOUN
ap-5173	597	59	is	be	AUX
ap-5173	597	60	the	the	DET
ap-5173	597	61	number	number	NOUN
ap-5173	597	62	of	of	ADP
ap-5173	597	63	input	input	NOUN
ap-5173	597	64	neurons	neuron	NOUN
ap-5173	597	65	)	)	PUNCT
ap-5173	597	66	.	.	PUNCT
ap-5173	598	1	in	in	ADP
ap-5173	598	2	this	this	DET
ap-5173	598	3	case	case	NOUN
ap-5173	598	4	,	,	PUNCT
ap-5173	598	5	the	the	DET
ap-5173	598	6	rrmse	rrmse	NOUN
ap-5173	598	7	and	and	CCONJ
ap-5173	598	8	performance	performance	NOUN
ap-5173	598	9	index	index	NOUN
ap-5173	598	10	had	have	VERB
ap-5173	598	11	the	the	DET
ap-5173	598	12	lowest	low	ADJ
ap-5173	598	13	values	value	NOUN
ap-5173	598	14	(	(	PUNCT
ap-5173	598	15	pi	pi	NOUN
ap-5173	598	16	=	=	NUM
ap-5173	598	17	4.42	4.42	NUM
ap-5173	598	18	for	for	ADP
ap-5173	598	19	testing	testing	NOUN
ap-5173	598	20	and	and	CCONJ
ap-5173	598	21	pi	pi	NOUN
ap-5173	598	22	=	=	NOUN
ap-5173	598	23	5.24	5.24	NUM
ap-5173	598	24	for	for	ADP
ap-5173	598	25	training	training	NOUN
ap-5173	598	26	)	)	PUNCT
ap-5173	598	27	.	.	PUNCT
ap-5173	599	1	the	the	DET
ap-5173	599	2	value	value	NOUN
ap-5173	599	3	of	of	ADP
ap-5173	599	4	the	the	DET
ap-5173	599	5	coefficient	coefficient	NOUN
ap-5173	599	6	of	of	ADP
ap-5173	599	7	determination	determination	NOUN
ap-5173	599	8	was	be	AUX
ap-5173	599	9	the	the	DET
ap-5173	599	10	highest	high	ADJ
ap-5173	599	11	in	in	ADP
ap-5173	599	12	this	this	DET
ap-5173	599	13	case	case	NOUN
ap-5173	599	14	(	(	PUNCT
ap-5173	599	15	r2	r2	PROPN
ap-5173	599	16	yy	yy	PROPN
ap-5173	599	17	=	=	NOUN
ap-5173	599	18	0.46	0.46	NUM
ap-5173	599	19	for	for	ADP
ap-5173	599	20	testing	testing	NOUN
ap-5173	599	21	and	and	CCONJ
ap-5173	599	22	r2	r2	NOUN
ap-5173	599	23	yy	yy	PROPN
ap-5173	599	24	=	=	PUNCT
ap-5173	599	25	0.17	0.17	NUM
ap-5173	599	26	for	for	ADP
ap-5173	599	27	training	training	NOUN
ap-5173	599	28	)	)	PUNCT
ap-5173	599	29	.	.	PUNCT
ap-5173	600	1	this	this	DET
ap-5173	600	2	result	result	NOUN
ap-5173	600	3	was	be	AUX
ap-5173	600	4	obtained	obtain	VERB
ap-5173	600	5	when	when	SCONJ
ap-5173	600	6	five	five	NUM
ap-5173	600	7	input	input	NOUN
ap-5173	600	8	observations	observation	NOUN
ap-5173	600	9	were	be	AUX
ap-5173	600	10	used	use	VERB
ap-5173	600	11	for	for	ADP
ap-5173	600	12	training	train	VERB
ap-5173	600	13	the	the	DET
ap-5173	600	14	nn	nn	PROPN
ap-5173	600	15	model	model	NOUN
ap-5173	600	16	and	and	CCONJ
ap-5173	600	17	for	for	ADP
ap-5173	600	18	the	the	DET
ap-5173	600	19	testing	testing	NOUN
ap-5173	600	20	of	of	ADP
ap-5173	600	21	prediction	prediction	NOUN
ap-5173	600	22	.	.	PUNCT
ap-5173	601	1	this	this	PRON
ap-5173	601	2	means	mean	VERB
ap-5173	601	3	that	that	SCONJ
ap-5173	601	4	this	this	DET
ap-5173	601	5	variant	variant	NOUN
ap-5173	601	6	predicts	predict	VERB
ap-5173	601	7	the	the	DET
ap-5173	601	8	target	target	NOUN
ap-5173	601	9	the	the	DET
ap-5173	601	10	best	good	ADJ
ap-5173	601	11	.	.	PUNCT
ap-5173	602	1	the	the	DET
ap-5173	602	2	second	second	ADJ
ap-5173	602	3	interesting	interesting	ADJ
ap-5173	602	4	result	result	NOUN
ap-5173	602	5	was	be	AUX
ap-5173	602	6	obtained	obtain	VERB
ap-5173	602	7	in	in	ADP
ap-5173	602	8	the	the	DET
ap-5173	602	9	case	case	NOUN
ap-5173	602	10	of	of	ADP
ap-5173	602	11	using	use	VERB
ap-5173	602	12	an	an	DET
ap-5173	602	13	nn	nn	NOUN
ap-5173	602	14	with	with	ADP
ap-5173	602	15	two	two	NUM
ap-5173	602	16	hidden	hidden	ADJ
ap-5173	602	17	layers	layer	NOUN
ap-5173	602	18	and	and	CCONJ
ap-5173	602	19	the	the	DET
ap-5173	602	20	structure	structure	NOUN
ap-5173	602	21	of	of	ADP
ap-5173	602	22	800:8	800:8	NUM
ap-5173	602	23	neurons	neuron	NOUN
ap-5173	602	24	.	.	PUNCT
ap-5173	603	1	it	it	PRON
ap-5173	603	2	was	be	AUX
ap-5173	603	3	the	the	DET
ap-5173	603	4	case	case	NOUN
ap-5173	603	5	when	when	SCONJ
ap-5173	603	6	the	the	DET
ap-5173	603	7	two	two	NUM
ap-5173	603	8	observation	observation	NOUN
ap-5173	603	9	inputs	input	NOUN
ap-5173	603	10	were	be	AUX
ap-5173	603	11	used	use	VERB
ap-5173	603	12	.	.	PUNCT
ap-5173	604	1	the	the	DET
ap-5173	604	2	worst	bad	ADJ
ap-5173	604	3	results	result	NOUN
ap-5173	604	4	in	in	ADP
ap-5173	604	5	the	the	DET
ap-5173	604	6	prediction	prediction	NOUN
ap-5173	604	7	of	of	ADP
ap-5173	604	8	the	the	DET
ap-5173	604	9	underground	underground	ADJ
ap-5173	604	10	temperature	temperature	NOUN
ap-5173	604	11	were	be	AUX
ap-5173	604	12	achieved	achieve	VERB
ap-5173	604	13	in	in	ADP
ap-5173	604	14	the	the	DET
ap-5173	604	15	case	case	NOUN
ap-5173	604	16	of	of	ADP
ap-5173	604	17	one	one	NUM
ap-5173	604	18	hidden	hide	VERB
ap-5173	604	19	layer	layer	NOUN
ap-5173	604	20	with	with	ADP
ap-5173	604	21	5000	5000	NUM
ap-5173	604	22	neurons	neuron	NOUN
ap-5173	604	23	.	.	PUNCT
ap-5173	605	1	when	when	SCONJ
ap-5173	605	2	training	training	NOUN
ap-5173	605	3	and	and	CCONJ
ap-5173	605	4	testing	test	VERB
ap-5173	605	5	the	the	DET
ap-5173	605	6	nn	nn	NOUN
ap-5173	605	7	for	for	ADP
ap-5173	605	8	the	the	DET
ap-5173	605	9	calorific	calorific	ADJ
ap-5173	605	10	value	value	NOUN
ap-5173	605	11	,	,	PUNCT
ap-5173	605	12	it	it	PRON
ap-5173	605	13	can	can	AUX
ap-5173	605	14	be	be	AUX
ap-5173	605	15	seen	see	VERB
ap-5173	605	16	that	that	SCONJ
ap-5173	605	17	the	the	DET
ap-5173	605	18	lowest	low	ADJ
ap-5173	605	19	values	value	NOUN
ap-5173	605	20	of	of	ADP
ap-5173	605	21	statistic	statistic	ADJ
ap-5173	605	22	indicators	indicator	NOUN
ap-5173	605	23	were	be	AUX
ap-5173	605	24	also	also	ADV
ap-5173	605	25	obtained	obtain	VERB
ap-5173	605	26	in	in	ADP
ap-5173	605	27	the	the	DET
ap-5173	605	28	case	case	NOUN
ap-5173	605	29	of	of	ADP
ap-5173	605	30	one	one	NUM
ap-5173	605	31	hidden	hide	VERB
ap-5173	605	32	layer	layer	NOUN
ap-5173	605	33	with	with	ADP
ap-5173	605	34	7	7	NUM
ap-5173	605	35	neurons	neuron	NOUN
ap-5173	605	36	(	(	PUNCT
ap-5173	605	37	i.e.	i.e.	X
ap-5173	605	38	,	,	PUNCT
ap-5173	605	39	2m+	2m+	NUM
ap-5173	605	40	1	1	NUM
ap-5173	605	41	)	)	PUNCT
ap-5173	605	42	.	.	PUNCT
ap-5173	606	1	in	in	ADP
ap-5173	606	2	this	this	DET
ap-5173	606	3	case	case	NOUN
ap-5173	606	4	,	,	PUNCT
ap-5173	606	5	the	the	DET
ap-5173	606	6	rrmse	rrmse	NOUN
ap-5173	606	7	and	and	CCONJ
ap-5173	606	8	performance	performance	NOUN
ap-5173	606	9	index	index	NOUN
ap-5173	606	10	was	be	AUX
ap-5173	606	11	the	the	DET
ap-5173	606	12	lowest	low	ADJ
ap-5173	606	13	(	(	PUNCT
ap-5173	606	14	e.g.	e.g.	ADJ
ap-5173	606	15	,	,	PUNCT
ap-5173	606	16	pi	pi	NOUN
ap-5173	606	17	=	=	PROPN
ap-5173	606	18	9.20	9.20	NUM
ap-5173	606	19	for	for	ADP
ap-5173	606	20	testing	testing	NOUN
ap-5173	606	21	)	)	PUNCT
ap-5173	606	22	.	.	PUNCT
ap-5173	607	1	this	this	DET
ap-5173	607	2	result	result	NOUN
ap-5173	607	3	was	be	AUX
ap-5173	607	4	obtained	obtain	VERB
ap-5173	607	5	when	when	SCONJ
ap-5173	607	6	three	three	NUM
ap-5173	607	7	input	input	NOUN
ap-5173	607	8	variables	variable	NOUN
ap-5173	607	9	were	be	AUX
ap-5173	607	10	used	use	VERB
ap-5173	607	11	for	for	ADP
ap-5173	607	12	training	train	VERB
ap-5173	607	13	the	the	DET
ap-5173	607	14	nn	nn	PROPN
ap-5173	607	15	model	model	NOUN
ap-5173	607	16	and	and	CCONJ
ap-5173	607	17	for	for	ADP
ap-5173	607	18	the	the	DET
ap-5173	607	19	testing	testing	NOUN
ap-5173	607	20	of	of	ADP
ap-5173	607	21	prediction	prediction	NOUN
ap-5173	607	22	.	.	PUNCT
ap-5173	608	1	the	the	DET
ap-5173	608	2	value	value	NOUN
ap-5173	608	3	of	of	ADP
ap-5173	608	4	the	the	DET
ap-5173	608	5	coefficient	coefficient	NOUN
ap-5173	608	6	of	of	ADP
ap-5173	608	7	determination	determination	NOUN
ap-5173	608	8	was	be	AUX
ap-5173	608	9	the	the	DET
ap-5173	608	10	highest	high	ADJ
ap-5173	608	11	in	in	ADP
ap-5173	608	12	this	this	DET
ap-5173	608	13	case	case	NOUN
ap-5173	608	14	(	(	PUNCT
ap-5173	608	15	i.e.	i.e.	X
ap-5173	608	16	,	,	PUNCT
ap-5173	608	17	r2	r2	PROPN
ap-5173	608	18	yy	yy	NOUN
ap-5173	608	19	=	=	PUNCT
ap-5173	608	20	0.51	0.51	NUM
ap-5173	608	21	for	for	ADP
ap-5173	608	22	testing	testing	NOUN
ap-5173	608	23	)	)	PUNCT
ap-5173	608	24	.	.	PUNCT
ap-5173	609	1	similarly	similarly	ADV
ap-5173	609	2	,	,	PUNCT
ap-5173	609	3	as	as	ADP
ap-5173	609	4	in	in	ADP
ap-5173	609	5	the	the	DET
ap-5173	609	6	case	case	NOUN
ap-5173	609	7	of	of	ADP
ap-5173	609	8	the	the	DET
ap-5173	609	9	calorific	calorific	ADJ
ap-5173	609	10	value	value	NOUN
ap-5173	609	11	prediction	prediction	NOUN
ap-5173	609	12	,	,	PUNCT
ap-5173	609	13	the	the	DET
ap-5173	609	14	second	second	ADJ
ap-5173	609	15	interesting	interesting	ADJ
ap-5173	609	16	result	result	NOUN
ap-5173	609	17	was	be	AUX
ap-5173	609	18	obtained	obtain	VERB
ap-5173	609	19	in	in	ADP
ap-5173	609	20	the	the	DET
ap-5173	609	21	case	case	NOUN
ap-5173	609	22	of	of	ADP
ap-5173	609	23	using	use	VERB
ap-5173	609	24	an	an	DET
ap-5173	609	25	nn	nn	NOUN
ap-5173	609	26	with	with	ADP
ap-5173	609	27	two	two	NUM
ap-5173	609	28	hidden	hidden	ADJ
ap-5173	609	29	layers	layer	NOUN
ap-5173	609	30	and	and	CCONJ
ap-5173	609	31	the	the	DET
ap-5173	609	32	structure	structure	NOUN
ap-5173	609	33	of	of	ADP
ap-5173	609	34	800:8	800:8	NUM
ap-5173	609	35	neurons	neuron	NOUN
ap-5173	609	36	.	.	PUNCT
ap-5173	610	1	this	this	PRON
ap-5173	610	2	is	be	AUX
ap-5173	610	3	the	the	DET
ap-5173	610	4	case	case	NOUN
ap-5173	610	5	where	where	SCONJ
ap-5173	610	6	three	three	NUM
ap-5173	610	7	observation	observation	NOUN
ap-5173	610	8	inputs	input	NOUN
ap-5173	610	9	were	be	AUX
ap-5173	610	10	used	use	VERB
ap-5173	610	11	.	.	PUNCT
ap-5173	611	1	the	the	DET
ap-5173	611	2	worst	bad	ADJ
ap-5173	611	3	results	result	NOUN
ap-5173	611	4	in	in	ADP
ap-5173	611	5	the	the	DET
ap-5173	611	6	prediction	prediction	NOUN
ap-5173	611	7	of	of	ADP
ap-5173	611	8	the	the	DET
ap-5173	611	9	calorific	calorific	ADJ
ap-5173	611	10	value	value	NOUN
ap-5173	611	11	were	be	AUX
ap-5173	611	12	achieved	achieve	VERB
ap-5173	611	13	in	in	ADP
ap-5173	611	14	the	the	DET
ap-5173	611	15	case	case	NOUN
ap-5173	611	16	of	of	ADP
ap-5173	611	17	one	one	NUM
ap-5173	611	18	hidden	hide	VERB
ap-5173	611	19	layer	layer	NOUN
ap-5173	611	20	with	with	ADP
ap-5173	611	21	5000	5000	NUM
ap-5173	611	22	neurons	neuron	NOUN
ap-5173	611	23	(	(	PUNCT
ap-5173	611	24	see	see	VERB
ap-5173	611	25	table	table	NOUN
ap-5173	611	26	3	3	NUM
ap-5173	611	27	)	)	PUNCT
ap-5173	611	28	.	.	PUNCT
ap-5173	612	1	it	it	PRON
ap-5173	612	2	can	can	AUX
ap-5173	612	3	be	be	AUX
ap-5173	612	4	stated	state	VERB
ap-5173	612	5	that	that	SCONJ
ap-5173	612	6	the	the	DET
ap-5173	612	7	use	use	NOUN
ap-5173	612	8	of	of	ADP
ap-5173	612	9	the	the	DET
ap-5173	612	10	nn	nn	PROPN
ap-5173	612	11	model	model	NOUN
ap-5173	612	12	for	for	ADP
ap-5173	612	13	the	the	DET
ap-5173	612	14	temperature	temperature	NOUN
ap-5173	612	15	prediction	prediction	NOUN
ap-5173	612	16	has	have	AUX
ap-5173	612	17	achieved	achieve	VERB
ap-5173	612	18	better	well	ADJ
ap-5173	612	19	results	result	NOUN
ap-5173	612	20	in	in	ADP
ap-5173	612	21	terms	term	NOUN
ap-5173	612	22	of	of	ADP
ap-5173	612	23	the	the	DET
ap-5173	612	24	performance	performance	NOUN
ap-5173	612	25	index	index	NOUN
ap-5173	612	26	than	than	ADP
ap-5173	612	27	in	in	ADP
ap-5173	612	28	the	the	DET
ap-5173	612	29	case	case	NOUN
ap-5173	612	30	of	of	ADP
ap-5173	612	31	the	the	DET
ap-5173	612	32	calorific	calorific	ADJ
ap-5173	612	33	value	value	NOUN
ap-5173	612	34	.	.	PUNCT
ap-5173	613	1	the	the	DET
ap-5173	613	2	best	good	ADJ
ap-5173	613	3	prediction	prediction	NOUN
ap-5173	613	4	of	of	ADP
ap-5173	613	5	the	the	DET
ap-5173	613	6	calorific	calorific	ADJ
ap-5173	613	7	value	value	NOUN
ap-5173	613	8	and	and	CCONJ
ap-5173	613	9	underground	underground	ADJ
ap-5173	613	10	temperature	temperature	NOUN
ap-5173	613	11	by	by	ADP
ap-5173	613	12	nn	nn	PROPN
ap-5173	613	13	,	,	PUNCT
ap-5173	613	14	where	where	SCONJ
ap-5173	613	15	10	10	NUM
ap-5173	613	16	%	%	NOUN
ap-5173	613	17	of	of	ADP
ap-5173	613	18	the	the	DET
ap-5173	613	19	experiment	experiment	NOUN
ap-5173	613	20	was	be	AUX
ap-5173	613	21	used	use	VERB
ap-5173	613	22	for	for	SCONJ
ap-5173	613	23	the	the	DET
ap-5173	613	24	test	test	NOUN
ap-5173	613	25	is	be	AUX
ap-5173	613	26	shown	show	VERB
ap-5173	613	27	in	in	ADP
ap-5173	613	28	figure	figure	NOUN
ap-5173	613	29	8	8	NUM
ap-5173	613	30	and	and	CCONJ
ap-5173	613	31	figure	figure	VERB
ap-5173	613	32	9	9	NUM
ap-5173	613	33	.	.	PUNCT
ap-5173	614	1	the	the	DET
ap-5173	614	2	black	black	ADJ
ap-5173	614	3	vertical	vertical	ADJ
ap-5173	614	4	line	line	NOUN
ap-5173	614	5	in	in	ADP
ap-5173	614	6	figures	figure	NOUN
ap-5173	614	7	divides	divide	VERB
ap-5173	614	8	the	the	DET
ap-5173	614	9	prediction	prediction	NOUN
ap-5173	614	10	into	into	ADP
ap-5173	614	11	training	training	NOUN
ap-5173	614	12	and	and	CCONJ
ap-5173	614	13	testing	testing	NOUN
ap-5173	614	14	.	.	PUNCT
ap-5173	615	1	4.2	4.2	NUM
ap-5173	615	2	.	.	PUNCT
ap-5173	615	3	prediction	prediction	NOUN
ap-5173	615	4	by	by	ADP
ap-5173	615	5	the	the	DET
ap-5173	615	6	mars	mar	NOUN
ap-5173	615	7	the	the	DET
ap-5173	615	8	algorithm	algorithm	NOUN
ap-5173	615	9	of	of	ADP
ap-5173	615	10	a	a	DET
ap-5173	615	11	regression	regression	NOUN
ap-5173	615	12	model	model	NOUN
ap-5173	615	13	creation	creation	NOUN
ap-5173	615	14	with	with	ADP
ap-5173	615	15	mars	mar	NOUN
ap-5173	615	16	runs	run	NOUN
ap-5173	615	17	in	in	ADP
ap-5173	615	18	two	two	NUM
ap-5173	615	19	phases	phase	NOUN
ap-5173	615	20	as	as	SCONJ
ap-5173	615	21	it	it	PRON
ap-5173	615	22	was	be	AUX
ap-5173	615	23	analysed	analyse	VERB
ap-5173	615	24	in	in	ADP
ap-5173	615	25	detail	detail	NOUN
ap-5173	615	26	in	in	ADP
ap-5173	615	27	section	section	NOUN
ap-5173	615	28	2.2	2.2	NUM
ap-5173	615	29	.	.	PUNCT
ap-5173	616	1	in	in	ADP
ap-5173	616	2	the	the	DET
ap-5173	616	3	forward	forward	ADJ
ap-5173	616	4	phase	phase	NOUN
ap-5173	616	5	,	,	PUNCT
ap-5173	616	6	the	the	DET
ap-5173	616	7	algorithm	algorithm	NOUN
ap-5173	616	8	begins	begin	VERB
ap-5173	616	9	with	with	ADP
ap-5173	616	10	a	a	DET
ap-5173	616	11	model	model	NOUN
ap-5173	616	12	that	that	PRON
ap-5173	616	13	has	have	VERB
ap-5173	616	14	only	only	ADV
ap-5173	616	15	an	an	DET
ap-5173	616	16	intercept	intercept	NOUN
ap-5173	616	17	term	term	NOUN
ap-5173	616	18	.	.	PUNCT
ap-5173	617	1	then	then	ADV
ap-5173	617	2	,	,	PUNCT
ap-5173	617	3	in	in	ADP
ap-5173	617	4	the	the	DET
ap-5173	617	5	cycle	cycle	NOUN
ap-5173	617	6	,	,	PUNCT
ap-5173	617	7	reflected	reflect	VERB
ap-5173	617	8	pairs	pair	NOUN
ap-5173	617	9	of	of	ADP
ap-5173	617	10	bfs	bfs	NOUN
ap-5173	617	11	are	be	AUX
ap-5173	617	12	added	add	VERB
ap-5173	617	13	so	so	SCONJ
ap-5173	617	14	that	that	SCONJ
ap-5173	617	15	the	the	DET
ap-5173	617	16	training	training	NOUN
ap-5173	617	17	error	error	NOUN
ap-5173	617	18	is	be	AUX
ap-5173	617	19	reduced	reduce	VERB
ap-5173	617	20	as	as	ADV
ap-5173	617	21	much	much	ADV
ap-5173	617	22	as	as	ADP
ap-5173	617	23	possible	possible	ADJ
ap-5173	617	24	.	.	PUNCT
ap-5173	618	1	this	this	PRON
ap-5173	618	2	is	be	AUX
ap-5173	618	3	done	do	VERB
ap-5173	618	4	until	until	ADP
ap-5173	618	5	,	,	PUNCT
ap-5173	618	6	for	for	ADP
ap-5173	618	7	example	example	NOUN
ap-5173	618	8	,	,	PUNCT
ap-5173	618	9	the	the	DET
ap-5173	618	10	maximum	maximum	ADJ
ap-5173	618	11	number	number	NOUN
ap-5173	618	12	of	of	ADP
ap-5173	618	13	bfs	bfs	NOUN
ap-5173	618	14	is	be	AUX
ap-5173	618	15	not	not	PART
ap-5173	618	16	reached	reach	VERB
ap-5173	618	17	.	.	PUNCT
ap-5173	619	1	in	in	ADP
ap-5173	619	2	the	the	DET
ap-5173	619	3	backward	backward	ADJ
ap-5173	619	4	phase	phase	NOUN
ap-5173	619	5	,	,	PUNCT
ap-5173	619	6	the	the	DET
ap-5173	619	7	model	model	NOUN
ap-5173	619	8	is	be	AUX
ap-5173	619	9	simplified	simplify	VERB
ap-5173	619	10	by	by	ADP
ap-5173	619	11	deleting	delete	VERB
ap-5173	619	12	one	one	NUM
ap-5173	619	13	of	of	ADP
ap-5173	619	14	the	the	DET
ap-5173	619	15	least	least	ADV
ap-5173	619	16	important	important	ADJ
ap-5173	619	17	bfs	bfs	NOUN
ap-5173	619	18	,	,	PUNCT
ap-5173	619	19	which	which	PRON
ap-5173	619	20	also	also	ADV
ap-5173	619	21	reduces	reduce	VERB
ap-5173	619	22	the	the	DET
ap-5173	619	23	training	training	NOUN
ap-5173	619	24	error	error	NOUN
ap-5173	619	25	.	.	PUNCT
ap-5173	620	1	then	then	ADV
ap-5173	620	2	,	,	PUNCT
ap-5173	620	3	more	more	ADJ
ap-5173	620	4	“	"	PUNCT
ap-5173	620	5	best	good	ADJ
ap-5173	620	6	”	"	PUNCT
ap-5173	620	7	models	model	NOUN
ap-5173	620	8	of	of	ADP
ap-5173	620	9	different	different	ADJ
ap-5173	620	10	sizes	size	NOUN
ap-5173	620	11	are	be	AUX
ap-5173	620	12	obtained	obtain	VERB
ap-5173	620	13	.	.	PUNCT
ap-5173	621	1	at	at	ADP
ap-5173	621	2	the	the	DET
ap-5173	621	3	end	end	NOUN
ap-5173	621	4	of	of	ADP
ap-5173	621	5	this	this	DET
ap-5173	621	6	phase	phase	NOUN
ap-5173	621	7	,	,	PUNCT
ap-5173	621	8	only	only	ADV
ap-5173	621	9	one	one	NUM
ap-5173	621	10	model	model	NOUN
ap-5173	621	11	with	with	ADP
ap-5173	621	12	the	the	DET
ap-5173	621	13	lowest	low	ADJ
ap-5173	621	14	gcv	gcv	NOUN
ap-5173	621	15	is	be	AUX
ap-5173	621	16	selected	select	VERB
ap-5173	621	17	from	from	ADP
ap-5173	621	18	these	these	DET
ap-5173	621	19	best	good	ADJ
ap-5173	621	20	models	model	NOUN
ap-5173	621	21	(	(	PUNCT
ap-5173	621	22	excluding	exclude	VERB
ap-5173	621	23	models	model	NOUN
ap-5173	621	24	larger	large	ADJ
ap-5173	621	25	than	than	ADP
ap-5173	621	26	maximal	maximal	ADJ
ap-5173	621	27	final	final	ADJ
ap-5173	621	28	bfs	bfs	NOUN
ap-5173	621	29	)	)	PUNCT
ap-5173	621	30	.	.	PUNCT
ap-5173	622	1	several	several	ADJ
ap-5173	622	2	different	different	ADJ
ap-5173	622	3	variants	variant	NOUN
ap-5173	622	4	of	of	ADP
ap-5173	622	5	simulations	simulation	NOUN
ap-5173	622	6	with	with	ADP
ap-5173	622	7	mars	mar	NOUN
ap-5173	622	8	have	have	AUX
ap-5173	622	9	been	be	AUX
ap-5173	622	10	performed	perform	VERB
ap-5173	622	11	.	.	PUNCT
ap-5173	623	1	the	the	DET
ap-5173	623	2	maximum	maximum	ADJ
ap-5173	623	3	number	number	NOUN
ap-5173	623	4	of	of	ADP
ap-5173	623	5	bfs	bfs	NOUN
ap-5173	623	6	included	include	VERB
ap-5173	623	7	in	in	ADP
ap-5173	623	8	the	the	DET
ap-5173	623	9	model	model	NOUN
ap-5173	623	10	in	in	ADP
ap-5173	623	11	the	the	DET
ap-5173	623	12	forward	forward	ADJ
ap-5173	623	13	phase	phase	NOUN
ap-5173	623	14	has	have	AUX
ap-5173	623	15	been	be	AUX
ap-5173	623	16	experimentally	experimentally	ADV
ap-5173	623	17	changed	change	VERB
ap-5173	623	18	.	.	PUNCT
ap-5173	624	1	the	the	DET
ap-5173	624	2	initial	initial	ADJ
ap-5173	624	3	number	number	NOUN
ap-5173	624	4	of	of	ADP
ap-5173	624	5	bfs	bfs	NOUN
ap-5173	624	6	in	in	ADP
ap-5173	624	7	the	the	DET
ap-5173	624	8	forward	forward	ADJ
ap-5173	624	9	phase	phase	NOUN
ap-5173	624	10	was	be	AUX
ap-5173	624	11	determined	determine	VERB
ap-5173	624	12	according	accord	VERB
ap-5173	624	13	to	to	ADP
ap-5173	624	14	the	the	DET
ap-5173	624	15	formula	formula	NOUN
ap-5173	624	16	:	:	PUNCT
ap-5173	624	17	min(200,max(20	min(200,max(20	NUM
ap-5173	624	18	,	,	PUNCT
ap-5173	624	19	2d))+1	2d))+1	NUM
ap-5173	624	20	,	,	PUNCT
ap-5173	624	21	where	where	SCONJ
ap-5173	624	22	d	d	NOUN
ap-5173	624	23	represents	represent	VERB
ap-5173	624	24	the	the	DET
ap-5173	624	25	number	number	NOUN
ap-5173	624	26	of	of	ADP
ap-5173	624	27	input	input	NOUN
ap-5173	624	28	variables	variable	NOUN
ap-5173	624	29	.	.	PUNCT
ap-5173	625	1	the	the	DET
ap-5173	625	2	initial	initial	ADJ
ap-5173	625	3	number	number	NOUN
ap-5173	625	4	of	of	ADP
ap-5173	625	5	bfs	bfs	NOUN
ap-5173	625	6	was	be	AUX
ap-5173	625	7	set	set	VERB
ap-5173	625	8	to	to	ADP
ap-5173	625	9	21	21	NUM
ap-5173	625	10	in	in	ADP
ap-5173	625	11	all	all	DET
ap-5173	625	12	simulations	simulation	NOUN
ap-5173	625	13	.	.	PUNCT
ap-5173	626	1	in	in	ADP
ap-5173	626	2	modelling	modelling	NOUN
ap-5173	626	3	,	,	PUNCT
ap-5173	626	4	we	we	PRON
ap-5173	626	5	have	have	AUX
ap-5173	626	6	considered	consider	VERB
ap-5173	626	7	a	a	DET
ap-5173	626	8	maximal	maximal	ADJ
ap-5173	626	9	interactivity	interactivity	NOUN
ap-5173	626	10	between	between	ADP
ap-5173	626	11	input	input	NOUN
ap-5173	626	12	variables	variable	NOUN
ap-5173	626	13	without	without	ADP
ap-5173	626	14	337	337	NUM
ap-5173	626	15	j.	j.	PROPN
ap-5173	626	16	kačur	kačur	PROPN
ap-5173	626	17	,	,	PUNCT
ap-5173	626	18	m.	m.	PROPN
ap-5173	626	19	durdán	durdán	PROPN
ap-5173	626	20	,	,	PUNCT
ap-5173	626	21	m.	m.	NOUN
ap-5173	626	22	laciak	laciak	NOUN
ap-5173	626	23	,	,	PUNCT
ap-5173	626	24	p.	p.	PROPN
ap-5173	626	25	flegner	flegner	PROPN
ap-5173	626	26	acta	acta	PROPN
ap-5173	626	27	polytechnica	polytechnica	PROPN
ap-5173	626	28	figure	figure	NOUN
ap-5173	626	29	8	8	NUM
ap-5173	626	30	.	.	PUNCT
ap-5173	626	31	measured	measure	VERB
ap-5173	626	32	and	and	CCONJ
ap-5173	626	33	predicted	predict	VERB
ap-5173	626	34	calorific	calorific	ADJ
ap-5173	626	35	value	value	NOUN
ap-5173	626	36	of	of	ADP
ap-5173	626	37	syngas	syngas	NOUN
ap-5173	626	38	by	by	ADP
ap-5173	626	39	nn	nn	PROPN
ap-5173	626	40	,	,	PUNCT
ap-5173	626	41	where	where	SCONJ
ap-5173	626	42	three	three	NUM
ap-5173	626	43	inputs	input	NOUN
ap-5173	626	44	were	be	AUX
ap-5173	626	45	used	use	VERB
ap-5173	626	46	in	in	ADP
ap-5173	626	47	the	the	DET
ap-5173	626	48	test	test	NOUN
ap-5173	626	49	.	.	PUNCT
ap-5173	627	1	figure	figure	NOUN
ap-5173	627	2	9	9	NUM
ap-5173	627	3	.	.	PUNCT
ap-5173	627	4	measured	measure	VERB
ap-5173	627	5	and	and	CCONJ
ap-5173	627	6	predicted	predict	VERB
ap-5173	627	7	underground	underground	ADJ
ap-5173	627	8	temperature	temperature	NOUN
ap-5173	627	9	by	by	ADP
ap-5173	627	10	nn	nn	PROPN
ap-5173	627	11	,	,	PUNCT
ap-5173	627	12	where	where	SCONJ
ap-5173	627	13	five	five	NUM
ap-5173	627	14	inputs	input	NOUN
ap-5173	627	15	were	be	AUX
ap-5173	627	16	used	use	VERB
ap-5173	627	17	in	in	ADP
ap-5173	627	18	the	the	DET
ap-5173	627	19	test	test	NOUN
ap-5173	627	20	.	.	PUNCT
ap-5173	628	1	338	338	NUM
ap-5173	628	2	vol	vol	NOUN
ap-5173	628	3	.	.	PUNCT
ap-5173	629	1	59	59	NUM
ap-5173	629	2	no	no	NOUN
ap-5173	629	3	.	.	PUNCT
ap-5173	630	1	4/2019	4/2019	NUM
ap-5173	630	2	a	a	DET
ap-5173	630	3	comparative	comparative	ADJ
ap-5173	630	4	study	study	NOUN
ap-5173	630	5	of	of	ADP
ap-5173	630	6	data	data	NOUN
ap-5173	630	7	-	-	PUNCT
ap-5173	630	8	driven	drive	VERB
ap-5173	630	9	modeling	modeling	NOUN
ap-5173	630	10	methods	method	NOUN
ap-5173	630	11	.	.	PUNCT
ap-5173	630	12	.	.	PUNCT
ap-5173	630	13	.	.	PUNCT
ap-5173	631	1	self	self	NOUN
ap-5173	631	2	-	-	PUNCT
ap-5173	631	3	interactions	interaction	NOUN
ap-5173	631	4	.	.	PUNCT
ap-5173	632	1	since	since	SCONJ
ap-5173	632	2	there	there	PRON
ap-5173	632	3	were	be	VERB
ap-5173	632	4	not	not	PART
ap-5173	632	5	smoother	smooth	ADJ
ap-5173	632	6	data	datum	NOUN
ap-5173	632	7	,	,	PUNCT
ap-5173	632	8	the	the	DET
ap-5173	632	9	piecewise	piecewise	NOUN
ap-5173	632	10	-	-	PUNCT
ap-5173	632	11	cubic	cubic	ADJ
ap-5173	632	12	and	and	CCONJ
ap-5173	632	13	piecewise	piecewise	NOUN
ap-5173	632	14	-	-	PUNCT
ap-5173	632	15	linear	linear	NOUN
ap-5173	632	16	type	type	NOUN
ap-5173	632	17	of	of	ADP
ap-5173	632	18	modeling	modeling	NOUN
ap-5173	632	19	have	have	AUX
ap-5173	632	20	been	be	AUX
ap-5173	632	21	analysed	analyse	VERB
ap-5173	632	22	in	in	ADP
ap-5173	632	23	order	order	NOUN
ap-5173	632	24	to	to	PART
ap-5173	632	25	know	know	VERB
ap-5173	632	26	the	the	DET
ap-5173	632	27	prediction	prediction	NOUN
ap-5173	632	28	performance	performance	NOUN
ap-5173	632	29	.	.	PUNCT
ap-5173	633	1	in	in	ADP
ap-5173	633	2	default	default	NOUN
ap-5173	633	3	,	,	PUNCT
ap-5173	633	4	all	all	DET
ap-5173	633	5	mars	mars	NOUN
ap-5173	633	6	models	model	NOUN
ap-5173	633	7	are	be	AUX
ap-5173	633	8	created	create	VERB
ap-5173	633	9	as	as	ADP
ap-5173	633	10	piecewise	piecewise	NOUN
ap-5173	633	11	-	-	PUNCT
ap-5173	633	12	linear	linear	NOUN
ap-5173	633	13	and	and	CCONJ
ap-5173	633	14	are	be	AUX
ap-5173	633	15	transformed	transform	VERB
ap-5173	633	16	into	into	ADP
ap-5173	633	17	piecewise	piecewise	NOUN
ap-5173	633	18	-	-	PUNCT
ap-5173	633	19	cubic	cubic	NOUN
ap-5173	633	20	after	after	ADP
ap-5173	633	21	the	the	DET
ap-5173	633	22	backward	backward	ADJ
ap-5173	633	23	phase	phase	NOUN
ap-5173	633	24	.	.	PUNCT
ap-5173	634	1	the	the	DET
ap-5173	634	2	best	good	ADJ
ap-5173	634	3	or	or	CCONJ
ap-5173	634	4	optimal	optimal	ADJ
ap-5173	634	5	number	number	NOUN
ap-5173	634	6	of	of	ADP
ap-5173	634	7	maximal	maximal	ADJ
ap-5173	634	8	bfs	bfs	NOUN
ap-5173	634	9	in	in	ADP
ap-5173	634	10	the	the	DET
ap-5173	634	11	final	final	ADJ
ap-5173	634	12	mars	mars	NOUN
ap-5173	634	13	model	model	NOUN
ap-5173	634	14	was	be	AUX
ap-5173	634	15	estimated	estimate	VERB
ap-5173	634	16	by	by	ADP
ap-5173	634	17	the	the	DET
ap-5173	634	18	gcv	gcv	PROPN
ap-5173	634	19	criterion	criterion	NOUN
ap-5173	634	20	and	and	CCONJ
ap-5173	634	21	by	by	ADP
ap-5173	634	22	the	the	DET
ap-5173	634	23	10	10	NUM
ap-5173	634	24	-	-	ADJ
ap-5173	634	25	fold	fold	ADJ
ap-5173	634	26	cross	cross	NOUN
ap-5173	634	27	-	-	NOUN
ap-5173	634	28	validation	validation	NOUN
ap-5173	634	29	.	.	PUNCT
ap-5173	635	1	in	in	ADP
ap-5173	635	2	an	an	DET
ap-5173	635	3	all	all	DET
ap-5173	635	4	cross	cross	ADJ
ap-5173	635	5	-	-	ADJ
ap-5173	635	6	validation	validation	ADJ
ap-5173	635	7	iteration	iteration	NOUN
ap-5173	635	8	,	,	PUNCT
ap-5173	635	9	a	a	DET
ap-5173	635	10	new	new	ADJ
ap-5173	635	11	mars	mars	NOUN
ap-5173	635	12	model	model	NOUN
ap-5173	635	13	is	be	AUX
ap-5173	635	14	created	create	VERB
ap-5173	635	15	and	and	CCONJ
ap-5173	635	16	reduced	reduce	VERB
ap-5173	635	17	using	use	VERB
ap-5173	635	18	the	the	DET
ap-5173	635	19	gcv	gcv	NOUN
ap-5173	635	20	in	in	ADP
ap-5173	635	21	the	the	DET
ap-5173	635	22	in	in	NOUN
ap-5173	635	23	-	-	PUNCT
ap-5173	635	24	fold	fold	ADJ
ap-5173	635	25	(	(	PUNCT
ap-5173	635	26	training	training	NOUN
ap-5173	635	27	)	)	PUNCT
ap-5173	635	28	data	datum	NOUN
ap-5173	635	29	.	.	PUNCT
ap-5173	636	1	in	in	ADP
ap-5173	636	2	addition	addition	NOUN
ap-5173	636	3	,	,	PUNCT
ap-5173	636	4	there	there	PRON
ap-5173	636	5	also	also	ADV
ap-5173	636	6	is	be	AUX
ap-5173	636	7	a	a	DET
ap-5173	636	8	calculated	calculated	ADJ
ap-5173	636	9	mse	mse	NOUN
ap-5173	636	10	criterion	criterion	NOUN
ap-5173	636	11	on	on	ADP
ap-5173	636	12	out	out	ADV
ap-5173	636	13	-	-	PUNCT
ap-5173	636	14	of	of	ADP
ap-5173	636	15	-	-	PUNCT
ap-5173	636	16	fold	fold	ADJ
ap-5173	636	17	(	(	PUNCT
ap-5173	636	18	test	test	NOUN
ap-5173	636	19	)	)	PUNCT
ap-5173	636	20	data	datum	NOUN
ap-5173	636	21	(	(	PUNCT
ap-5173	636	22	mseoof	mseoof	NOUN
ap-5173	636	23	)	)	PUNCT
ap-5173	636	24	in	in	ADP
ap-5173	636	25	the	the	DET
ap-5173	636	26	reducing	reduce	VERB
ap-5173	636	27	phase	phase	NOUN
ap-5173	636	28	for	for	ADP
ap-5173	636	29	each	each	DET
ap-5173	636	30	model	model	NOUN
ap-5173	636	31	.	.	PUNCT
ap-5173	637	1	figure	figure	NOUN
ap-5173	637	2	10	10	NUM
ap-5173	637	3	shows	show	VERB
ap-5173	637	4	a	a	DET
ap-5173	637	5	comparison	comparison	NOUN
ap-5173	637	6	of	of	ADP
ap-5173	637	7	the	the	DET
ap-5173	637	8	behavior	behavior	NOUN
ap-5173	637	9	of	of	ADP
ap-5173	637	10	the	the	DET
ap-5173	637	11	gcv	gcv	PROPN
ap-5173	637	12	and	and	CCONJ
ap-5173	637	13	mseoof	mseoof	NOUN
ap-5173	637	14	criterion	criterion	NOUN
ap-5173	637	15	calculated	calculate	VERB
ap-5173	637	16	for	for	ADP
ap-5173	637	17	each	each	DET
ap-5173	637	18	new	new	ADJ
ap-5173	637	19	model	model	NOUN
ap-5173	637	20	after	after	ADP
ap-5173	637	21	the	the	DET
ap-5173	637	22	10	10	NUM
ap-5173	637	23	-	-	ADJ
ap-5173	637	24	fold	fold	ADJ
ap-5173	637	25	iteration	iteration	NOUN
ap-5173	637	26	.	.	PUNCT
ap-5173	638	1	in	in	ADP
ap-5173	638	2	the	the	DET
ap-5173	638	3	simulation	simulation	NOUN
ap-5173	638	4	,	,	PUNCT
ap-5173	638	5	the	the	DET
ap-5173	638	6	model	model	NOUN
ap-5173	638	7	for	for	ADP
ap-5173	638	8	predicting	predict	VERB
ap-5173	638	9	syngas	syngas	NOUN
ap-5173	638	10	calorific	calorific	ADJ
ap-5173	638	11	value	value	NOUN
ap-5173	638	12	was	be	AUX
ap-5173	638	13	considered	consider	VERB
ap-5173	638	14	.	.	PUNCT
ap-5173	639	1	the	the	DET
ap-5173	639	2	figure	figure	NOUN
ap-5173	639	3	shows	show	VERB
ap-5173	639	4	two	two	NUM
ap-5173	639	5	vertical	vertical	ADJ
ap-5173	639	6	dashed	dash	VERB
ap-5173	639	7	lines	line	NOUN
ap-5173	639	8	at	at	ADP
ap-5173	639	9	the	the	DET
ap-5173	639	10	minimum	minimum	NOUN
ap-5173	639	11	of	of	ADP
ap-5173	639	12	the	the	DET
ap-5173	639	13	two	two	NUM
ap-5173	639	14	solid	solid	ADJ
ap-5173	639	15	lines	line	NOUN
ap-5173	639	16	.	.	PUNCT
ap-5173	640	1	the	the	DET
ap-5173	640	2	figure	figure	NOUN
ap-5173	640	3	also	also	ADV
ap-5173	640	4	shows	show	VERB
ap-5173	640	5	the	the	DET
ap-5173	640	6	number	number	NOUN
ap-5173	640	7	of	of	ADP
ap-5173	640	8	optimum	optimum	ADJ
ap-5173	640	9	bfs	bfs	NOUN
ap-5173	640	10	estimated	estimate	VERB
ap-5173	640	11	by	by	ADP
ap-5173	640	12	the	the	DET
ap-5173	640	13	gcv	gcv	PROPN
ap-5173	640	14	(	(	PUNCT
ap-5173	640	15	cyan	cyan	PROPN
ap-5173	640	16	)	)	PUNCT
ap-5173	640	17	and	and	CCONJ
ap-5173	640	18	cross	cross	NOUN
ap-5173	640	19	-	-	ADJ
ap-5173	640	20	validation	validation	ADJ
ap-5173	640	21	(	(	PUNCT
ap-5173	640	22	magenta	magenta	NOUN
ap-5173	640	23	)	)	PUNCT
ap-5173	640	24	.	.	PUNCT
ap-5173	641	1	ideally	ideally	ADV
ap-5173	641	2	,	,	PUNCT
ap-5173	641	3	these	these	DET
ap-5173	641	4	two	two	NUM
ap-5173	641	5	lines	line	NOUN
ap-5173	641	6	would	would	AUX
ap-5173	641	7	coincide	coincide	VERB
ap-5173	641	8	.	.	PUNCT
ap-5173	642	1	similarly	similarly	ADV
ap-5173	642	2	,	,	PUNCT
ap-5173	642	3	figure	figure	VERB
ap-5173	642	4	11	11	NUM
ap-5173	642	5	shows	show	VERB
ap-5173	642	6	the	the	DET
ap-5173	642	7	determination	determination	NOUN
ap-5173	642	8	of	of	ADP
ap-5173	642	9	the	the	DET
ap-5173	642	10	optimal	optimal	ADJ
ap-5173	642	11	number	number	NOUN
ap-5173	642	12	of	of	ADP
ap-5173	642	13	basis	basis	NOUN
ap-5173	642	14	functions	function	NOUN
ap-5173	642	15	for	for	ADP
ap-5173	642	16	the	the	DET
ap-5173	642	17	mars	mars	NOUN
ap-5173	642	18	model	model	NOUN
ap-5173	642	19	for	for	ADP
ap-5173	642	20	the	the	DET
ap-5173	642	21	underground	underground	ADJ
ap-5173	642	22	temperature	temperature	NOUN
ap-5173	642	23	prediction	prediction	NOUN
ap-5173	642	24	.	.	PUNCT
ap-5173	643	1	figures	figure	NOUN
ap-5173	643	2	show	show	VERB
ap-5173	643	3	simulations	simulation	NOUN
ap-5173	643	4	of	of	ADP
ap-5173	643	5	the	the	DET
ap-5173	643	6	piecewise	piecewise	NOUN
ap-5173	643	7	-	-	PUNCT
ap-5173	643	8	linear	linear	NOUN
ap-5173	643	9	type	type	NOUN
ap-5173	643	10	of	of	ADP
ap-5173	643	11	mars	mar	NOUN
ap-5173	643	12	models	model	NOUN
ap-5173	643	13	with	with	ADP
ap-5173	643	14	all	all	DET
ap-5173	643	15	inputs	input	NOUN
ap-5173	643	16	considered	consider	VERB
ap-5173	643	17	in	in	ADP
ap-5173	643	18	a	a	DET
ap-5173	643	19	given	give	VERB
ap-5173	643	20	target	target	NOUN
ap-5173	643	21	variable	variable	NOUN
ap-5173	643	22	.	.	PUNCT
ap-5173	644	1	the	the	DET
ap-5173	644	2	results	result	NOUN
ap-5173	644	3	from	from	ADP
ap-5173	644	4	the	the	DET
ap-5173	644	5	training	training	NOUN
ap-5173	644	6	of	of	ADP
ap-5173	644	7	the	the	DET
ap-5173	644	8	model	model	NOUN
ap-5173	644	9	and	and	CCONJ
ap-5173	644	10	testing	test	VERB
ap-5173	644	11	the	the	DET
ap-5173	644	12	prediction	prediction	NOUN
ap-5173	644	13	are	be	AUX
ap-5173	644	14	shown	show	VERB
ap-5173	644	15	in	in	ADP
ap-5173	644	16	table	table	NOUN
ap-5173	644	17	4	4	NUM
ap-5173	644	18	.	.	PUNCT
ap-5173	645	1	the	the	DET
ap-5173	645	2	original	original	ADJ
ap-5173	645	3	mars	mars	NOUN
ap-5173	645	4	approximation	approximation	NOUN
ap-5173	645	5	method	method	NOUN
ap-5173	645	6	uses	use	VERB
ap-5173	645	7	a	a	DET
ap-5173	645	8	cubic	cubic	ADJ
ap-5173	645	9	function	function	NOUN
ap-5173	645	10	to	to	PART
ap-5173	645	11	smooth	smooth	VERB
ap-5173	645	12	the	the	DET
ap-5173	645	13	truncated	truncated	ADJ
ap-5173	645	14	piecewiselinear	piecewiselinear	NOUN
ap-5173	645	15	functions	function	NOUN
ap-5173	645	16	.	.	PUNCT
ap-5173	646	1	the	the	DET
ap-5173	646	2	cubic	cubic	ADJ
ap-5173	646	3	function	function	NOUN
ap-5173	646	4	has	have	VERB
ap-5173	646	5	the	the	DET
ap-5173	646	6	following	follow	VERB
ap-5173	646	7	general	general	ADJ
ap-5173	646	8	form	form	NOUN
ap-5173	646	9	:	:	PUNCT
ap-5173	646	10	c(x|s	c(x|s	PROPN
ap-5173	646	11	=	=	SYM
ap-5173	646	12	+1	+1	PROPN
ap-5173	646	13	,	,	PUNCT
ap-5173	646	14	t−	t−	PROPN
ap-5173	646	15	,	,	PUNCT
ap-5173	646	16	t	t	PROPN
ap-5173	646	17	,	,	PUNCT
ap-5173	646	18	t+	t+	NOUN
ap-5173	646	19	)	)	PUNCT
ap-5173	646	20	=	=	X
ap-5173	646	21			PROPN
ap-5173	646	22	0	0	NUM
ap-5173	646	23	,	,	PUNCT
ap-5173	646	24	x	x	SYM
ap-5173	646	25	≤	≤	ADV
ap-5173	646	26	t−	t−	ADP
ap-5173	646	27	α+(x−	α+(x−	NOUN
ap-5173	646	28	t−)2	t−)2	PRON
ap-5173	646	29	+	+	CCONJ
ap-5173	646	30	β+(x−	β+(x−	PUNCT
ap-5173	646	31	t−)3	t−)3	NOUN
ap-5173	646	32	,	,	PUNCT
ap-5173	646	33	t−	t−	X
ap-5173	646	34	<	<	X
ap-5173	646	35	x	x	X
ap-5173	646	36	<	<	X
ap-5173	646	37	t+	t+	PUNCT
ap-5173	646	38	x−	x−	PROPN
ap-5173	646	39	t	t	PROPN
ap-5173	646	40	,	,	PUNCT
ap-5173	646	41	x	x	X
ap-5173	646	42	≥	≥	NUM
ap-5173	646	43	t+	t+	PUNCT
ap-5173	646	44	(	(	PUNCT
ap-5173	646	45	27	27	NUM
ap-5173	646	46	)	)	PUNCT
ap-5173	646	47	where	where	SCONJ
ap-5173	646	48	α+	α+	ADP
ap-5173	646	49	=	=	SYM
ap-5173	646	50	2t+	2t+	NUM
ap-5173	646	51	−	−	NOUN
ap-5173	646	52	3t+	3t+	NUM
ap-5173	646	53	t−	t−	PROPN
ap-5173	646	54	(	(	PUNCT
ap-5173	646	55	t+	t+	NOUN
ap-5173	646	56	−	−	ADP
ap-5173	646	57	t−)2	t−)2	NOUN
ap-5173	646	58	,	,	PUNCT
ap-5173	646	59	β+	β+	PUNCT
ap-5173	647	1	=	=	SYM
ap-5173	647	2	−t+	−t+	NOUN
ap-5173	647	3	+	+	CCONJ
ap-5173	647	4	2t−	2t−	ADP
ap-5173	647	5	t−	t−	PROPN
ap-5173	647	6	(	(	PUNCT
ap-5173	647	7	t+	t+	NOUN
ap-5173	647	8	−	−	PROPN
ap-5173	647	9	t−)3	t−)3	NOUN
ap-5173	647	10	,	,	PUNCT
ap-5173	647	11	(	(	PUNCT
ap-5173	647	12	28	28	NUM
ap-5173	647	13	)	)	PUNCT
ap-5173	647	14	and	and	CCONJ
ap-5173	647	15	c(x|s	c(x|s	X
ap-5173	647	16	=	=	SYM
ap-5173	647	17	−1	−1	NOUN
ap-5173	647	18	,	,	PUNCT
ap-5173	647	19	t−	t−	PROPN
ap-5173	647	20	,	,	PUNCT
ap-5173	647	21	t	t	PROPN
ap-5173	647	22	,	,	PUNCT
ap-5173	647	23	t+	t+	NOUN
ap-5173	647	24	)	)	PUNCT
ap-5173	647	25	=	=	X
ap-5173	647	26			PROPN
ap-5173	647	27	t−	t−	PROPN
ap-5173	647	28	x	x	NOUN
ap-5173	647	29	,	,	PUNCT
ap-5173	647	30	x	x	SYM
ap-5173	647	31	≤	≤	ADV
ap-5173	647	32	t−	t−	X
ap-5173	647	33	α−(x−	α−(x−	NOUN
ap-5173	647	34	t+)2	t+)2	NOUN
ap-5173	647	35	+	+	X
ap-5173	647	36	β−(x−	β−(x−	SYM
ap-5173	647	37	t+)3	t+)3	NOUN
ap-5173	647	38	,	,	PUNCT
ap-5173	647	39	t−	t−	X
ap-5173	647	40	<	<	X
ap-5173	647	41	x	x	X
ap-5173	647	42	<	<	X
ap-5173	647	43	t+	t+	X
ap-5173	647	44	0	0	NUM
ap-5173	647	45	,	,	PUNCT
ap-5173	647	46	x	x	X
ap-5173	647	47	≥	≥	NUM
ap-5173	647	48	t+	t+	PUNCT
ap-5173	647	49	(	(	PUNCT
ap-5173	647	50	29	29	NUM
ap-5173	647	51	)	)	PUNCT
ap-5173	647	52	where	where	SCONJ
ap-5173	647	53	α−	α−	ADP
ap-5173	647	54	=	=	PUNCT
ap-5173	647	55	−t+	−t+	PROPN
ap-5173	647	56	+	+	PUNCT
ap-5173	648	1	3t−	3t−	NUM
ap-5173	648	2	2t−	2t−	NOUN
ap-5173	648	3	(	(	PUNCT
ap-5173	648	4	t−	t−	PROPN
ap-5173	648	5	−	−	PROPN
ap-5173	648	6	t+)2	t+)2	ADJ
ap-5173	648	7	,	,	PUNCT
ap-5173	648	8	β−	β−	PUNCT
ap-5173	648	9	=	=	PUNCT
ap-5173	649	1	t+	t+	PUNCT
ap-5173	649	2	−	−	PROPN
ap-5173	649	3	2t+	2t+	NUM
ap-5173	649	4	t−	t−	PROPN
ap-5173	649	5	(	(	PUNCT
ap-5173	649	6	t−	t−	PROPN
ap-5173	649	7	−	−	PROPN
ap-5173	649	8	t−)3	t−)3	PROPN
ap-5173	649	9	.	.	PUNCT
ap-5173	650	1	(	(	PUNCT
ap-5173	650	2	30	30	NUM
ap-5173	650	3	)	)	PUNCT
ap-5173	650	4	where	where	SCONJ
ap-5173	650	5	t	t	PROPN
ap-5173	650	6	represents	represent	VERB
ap-5173	650	7	a	a	DET
ap-5173	650	8	univariate	univariate	ADJ
ap-5173	650	9	knot	knot	NOUN
ap-5173	650	10	,	,	PUNCT
ap-5173	650	11	which	which	PRON
ap-5173	650	12	is	be	AUX
ap-5173	650	13	selected	select	VERB
ap-5173	650	14	for	for	ADP
ap-5173	650	15	each	each	PRON
ap-5173	650	16	of	of	ADP
ap-5173	650	17	the	the	DET
ap-5173	650	18	factor	factor	NOUN
ap-5173	650	19	variables	variable	NOUN
ap-5173	650	20	x.	x.	VERB
ap-5173	650	21	the	the	DET
ap-5173	650	22	piecewise	piecewise	NOUN
ap-5173	650	23	-	-	PUNCT
ap-5173	650	24	linear	linear	NOUN
ap-5173	650	25	type	type	NOUN
ap-5173	650	26	of	of	ADP
ap-5173	650	27	mars	mars	NOUN
ap-5173	650	28	models	model	NOUN
ap-5173	650	29	better	well	ADV
ap-5173	650	30	fits	fit	VERB
ap-5173	650	31	the	the	DET
ap-5173	650	32	training	training	NOUN
ap-5173	650	33	data	datum	NOUN
ap-5173	650	34	but	but	CCONJ
ap-5173	650	35	,	,	PUNCT
ap-5173	650	36	in	in	ADP
ap-5173	650	37	the	the	DET
ap-5173	650	38	prediction	prediction	NOUN
ap-5173	650	39	on	on	ADP
ap-5173	650	40	untrained	untrained	ADJ
ap-5173	650	41	data	datum	NOUN
ap-5173	650	42	,	,	PUNCT
ap-5173	650	43	better	well	ADJ
ap-5173	650	44	results	result	NOUN
ap-5173	650	45	with	with	ADP
ap-5173	650	46	the	the	DET
ap-5173	650	47	piecewise	piecewise	NOUN
ap-5173	650	48	-	-	PUNCT
ap-5173	650	49	cubic	cubic	ADJ
ap-5173	650	50	type	type	NOUN
ap-5173	650	51	of	of	ADP
ap-5173	650	52	the	the	DET
ap-5173	650	53	model	model	NOUN
ap-5173	650	54	(	(	PUNCT
ap-5173	650	55	see	see	VERB
ap-5173	650	56	table	table	NOUN
ap-5173	650	57	4	4	NUM
ap-5173	650	58	)	)	PUNCT
ap-5173	650	59	are	be	AUX
ap-5173	650	60	obtained	obtain	VERB
ap-5173	650	61	.	.	PUNCT
ap-5173	651	1	equation	equation	NOUN
ap-5173	651	2	(	(	PUNCT
ap-5173	651	3	31	31	NUM
ap-5173	651	4	)	)	PUNCT
ap-5173	651	5	represents	represent	VERB
ap-5173	651	6	a	a	DET
ap-5173	651	7	resulting	result	VERB
ap-5173	651	8	piecewise	piecewise	NOUN
ap-5173	651	9	-	-	PUNCT
ap-5173	651	10	cubic	cubic	ADJ
ap-5173	651	11	type	type	NOUN
ap-5173	651	12	of	of	ADP
ap-5173	651	13	mars	mar	NOUN
ap-5173	651	14	model	model	NOUN
ap-5173	651	15	for	for	ADP
ap-5173	651	16	the	the	DET
ap-5173	651	17	prediction	prediction	NOUN
ap-5173	651	18	of	of	ADP
ap-5173	651	19	the	the	DET
ap-5173	651	20	underground	underground	ADJ
ap-5173	651	21	temperature	temperature	NOUN
ap-5173	651	22	.	.	PUNCT
ap-5173	652	1	basis	basis	NOUN
ap-5173	652	2	functions	function	NOUN
ap-5173	652	3	in	in	ADP
ap-5173	652	4	the	the	DET
ap-5173	652	5	equation	equation	NOUN
ap-5173	652	6	are	be	AUX
ap-5173	652	7	calculated	calculate	VERB
ap-5173	652	8	according	accord	VERB
ap-5173	652	9	to	to	ADP
ap-5173	652	10	table	table	NOUN
ap-5173	652	11	5	5	NUM
ap-5173	652	12	.	.	PUNCT
ap-5173	653	1	this	this	DET
ap-5173	653	2	mars	mars	NOUN
ap-5173	653	3	model	model	NOUN
ap-5173	653	4	takes	take	VERB
ap-5173	653	5	into	into	ADP
ap-5173	653	6	account	account	NOUN
ap-5173	653	7	five	five	NUM
ap-5173	653	8	inputs	input	NOUN
ap-5173	653	9	,	,	PUNCT
ap-5173	653	10	i.e.	i.e.	X
ap-5173	653	11	,	,	PUNCT
ap-5173	653	12	concentration	concentration	NOUN
ap-5173	653	13	of	of	ADP
ap-5173	653	14	measured	measured	ADJ
ap-5173	653	15	gasses	gas	NOUN
ap-5173	653	16	:	:	PUNCT
ap-5173	653	17	x1	x1	PROPN
ap-5173	653	18	co	co	NOUN
ap-5173	653	19	,	,	PUNCT
ap-5173	653	20	x2	x2	PROPN
ap-5173	653	21	co2	co2	NOUN
ap-5173	653	22	,	,	PUNCT
ap-5173	653	23	x3	x3	ADJ
ap-5173	653	24	h2	h2	NOUN
ap-5173	653	25	,	,	PUNCT
ap-5173	653	26	x4	x4	PROPN
ap-5173	653	27	ch4	ch4	PROPN
ap-5173	653	28	,	,	PUNCT
ap-5173	653	29	x5	x5	PROPN
ap-5173	653	30	o2	o2	PROPN
ap-5173	653	31	.	.	PUNCT
ap-5173	654	1	similarly	similarly	ADV
ap-5173	654	2	,	,	PUNCT
ap-5173	654	3	equation	equation	NOUN
ap-5173	654	4	(	(	PUNCT
ap-5173	654	5	32	32	NUM
ap-5173	654	6	)	)	PUNCT
ap-5173	654	7	represents	represent	VERB
ap-5173	654	8	the	the	DET
ap-5173	654	9	piecewise	piecewise	NOUN
ap-5173	654	10	-	-	PUNCT
ap-5173	654	11	cubic	cubic	ADJ
ap-5173	654	12	type	type	NOUN
ap-5173	654	13	of	of	ADP
ap-5173	654	14	mars	mar	NOUN
ap-5173	654	15	model	model	NOUN
ap-5173	654	16	for	for	ADP
ap-5173	654	17	the	the	DET
ap-5173	654	18	prediction	prediction	NOUN
ap-5173	654	19	of	of	ADP
ap-5173	654	20	the	the	DET
ap-5173	654	21	calorific	calorific	ADJ
ap-5173	654	22	value	value	NOUN
ap-5173	654	23	of	of	ADP
ap-5173	654	24	the	the	DET
ap-5173	654	25	syngas	syngas	NOUN
ap-5173	654	26	.	.	PUNCT
ap-5173	655	1	basis	basis	NOUN
ap-5173	655	2	functions	function	NOUN
ap-5173	655	3	in	in	ADP
ap-5173	655	4	the	the	DET
ap-5173	655	5	equation	equation	NOUN
ap-5173	655	6	are	be	AUX
ap-5173	655	7	calculated	calculate	VERB
ap-5173	655	8	according	accord	VERB
ap-5173	655	9	to	to	ADP
ap-5173	655	10	table	table	NOUN
ap-5173	655	11	6	6	NUM
ap-5173	655	12	.	.	PUNCT
ap-5173	656	1	the	the	DET
ap-5173	656	2	mars	mars	PROPN
ap-5173	656	3	model	model	NOUN
ap-5173	656	4	,	,	PUNCT
ap-5173	656	5	in	in	ADP
ap-5173	656	6	this	this	DET
ap-5173	656	7	case	case	NOUN
ap-5173	656	8	,	,	PUNCT
ap-5173	656	9	has	have	VERB
ap-5173	656	10	three	three	NUM
ap-5173	656	11	inputs	input	NOUN
ap-5173	656	12	x1	x1	DET
ap-5173	656	13	air	air	NOUN
ap-5173	656	14	flow	flow	NOUN
ap-5173	656	15	and	and	CCONJ
ap-5173	656	16	x2	x2	ADJ
ap-5173	656	17	oxygen	oxygen	NOUN
ap-5173	656	18	flow	flow	NOUN
ap-5173	656	19	and	and	CCONJ
ap-5173	656	20	x3	x3	ADJ
ap-5173	656	21	controlled	control	VERB
ap-5173	656	22	pressure	pressure	NOUN
ap-5173	656	23	on	on	ADP
ap-5173	656	24	outlet	outlet	NOUN
ap-5173	656	25	.	.	PUNCT
ap-5173	657	1	in	in	ADP
ap-5173	657	2	these	these	DET
ap-5173	657	3	models	model	NOUN
ap-5173	657	4	,	,	PUNCT
ap-5173	657	5	the	the	DET
ap-5173	657	6	best	good	ADJ
ap-5173	657	7	results	result	NOUN
ap-5173	657	8	for	for	ADP
ap-5173	657	9	the	the	DET
ap-5173	657	10	prediction	prediction	NOUN
ap-5173	657	11	were	be	AUX
ap-5173	657	12	obtained	obtain	VERB
ap-5173	657	13	in	in	ADP
ap-5173	657	14	terms	term	NOUN
ap-5173	657	15	of	of	ADP
ap-5173	657	16	all	all	DET
ap-5173	657	17	statistical	statistical	ADJ
ap-5173	657	18	indicators	indicator	NOUN
ap-5173	657	19	.	.	PUNCT
ap-5173	658	1	the	the	DET
ap-5173	658	2	lowest	low	ADJ
ap-5173	658	3	performance	performance	NOUN
ap-5173	658	4	index	index	NOUN
ap-5173	658	5	pi	pi	NOUN
ap-5173	658	6	=	=	NOUN
ap-5173	658	7	5.66	5.66	NUM
ap-5173	658	8	was	be	AUX
ap-5173	658	9	obtained	obtain	VERB
ap-5173	658	10	in	in	ADP
ap-5173	658	11	the	the	DET
ap-5173	658	12	testing	testing	NOUN
ap-5173	658	13	of	of	ADP
ap-5173	658	14	the	the	DET
ap-5173	658	15	prediction	prediction	NOUN
ap-5173	658	16	of	of	ADP
ap-5173	658	17	the	the	DET
ap-5173	658	18	underground	underground	ADJ
ap-5173	658	19	temperature	temperature	NOUN
ap-5173	658	20	on	on	ADP
ap-5173	658	21	untrained	untrained	ADJ
ap-5173	658	22	data	datum	NOUN
ap-5173	658	23	with	with	ADP
ap-5173	658	24	the	the	DET
ap-5173	658	25	piecewise	piecewise	NOUN
ap-5173	658	26	-	-	PUNCT
ap-5173	658	27	cubic	cubic	ADJ
ap-5173	658	28	type	type	NOUN
ap-5173	658	29	of	of	ADP
ap-5173	658	30	the	the	DET
ap-5173	658	31	mars	mars	NOUN
ap-5173	658	32	model	model	NOUN
ap-5173	658	33	.	.	PUNCT
ap-5173	659	1	when	when	SCONJ
ap-5173	659	2	testing	test	VERB
ap-5173	659	3	the	the	DET
ap-5173	659	4	prediction	prediction	NOUN
ap-5173	659	5	of	of	ADP
ap-5173	659	6	the	the	DET
ap-5173	659	7	calorific	calorific	ADJ
ap-5173	659	8	value	value	NOUN
ap-5173	659	9	on	on	ADP
ap-5173	659	10	untrained	untrained	ADJ
ap-5173	659	11	data	datum	NOUN
ap-5173	659	12	with	with	ADP
ap-5173	659	13	piecewise	piecewise	NOUN
ap-5173	659	14	-	-	PUNCT
ap-5173	659	15	cubic	cubic	ADJ
ap-5173	659	16	type	type	NOUN
ap-5173	659	17	of	of	ADP
ap-5173	659	18	mars	mars	PROPN
ap-5173	659	19	model	model	NOUN
ap-5173	659	20	,	,	PUNCT
ap-5173	659	21	the	the	DET
ap-5173	659	22	performance	performance	NOUN
ap-5173	659	23	index	index	NOUN
ap-5173	659	24	pi	pi	NOUN
ap-5173	659	25	=	=	NOUN
ap-5173	659	26	12.1382	12.1382	NUM
ap-5173	659	27	was	be	AUX
ap-5173	659	28	obtained	obtain	VERB
ap-5173	659	29	.	.	PUNCT
ap-5173	660	1	temperature	temperature	NOUN
ap-5173	660	2	(	(	PUNCT
ap-5173	660	3	◦	◦	NOUN
ap-5173	660	4	c	c	NOUN
ap-5173	660	5	)	)	PUNCT
ap-5173	660	6	=	=	PUNCT
ap-5173	661	1	855.36	855.36	NUM
ap-5173	661	2	−2108.8×	−2108.8×	NUM
ap-5173	661	3	bf1	bf1	PROPN
ap-5173	661	4	+8.7366×	+8.7366×	PROPN
ap-5173	661	5	bf2	bf2	NOUN
ap-5173	661	6	+	+	CCONJ
ap-5173	661	7	14.266×	14.266×	NUM
ap-5173	661	8	bf3	bf3	NOUN
ap-5173	661	9	+20.014×	+20.014×	NOUN
ap-5173	661	10	bf4−	bf4−	VERB
ap-5173	661	11	13.465×	13.465×	NUM
ap-5173	661	12	bf5	bf5	NOUN
ap-5173	661	13	−18.233×	−18.233×	NOUN
ap-5173	661	14	bf6	bf6	NOUN
ap-5173	661	15	+	+	CCONJ
ap-5173	661	16	1.2743×	1.2743×	NUM
ap-5173	661	17	bf7	bf7	NOUN
ap-5173	661	18	−3.764×	−3.764×	NOUN
ap-5173	661	19	bf8−	bf8−	VERB
ap-5173	661	20	1.3594×	1.3594×	NUM
ap-5173	661	21	bf9	bf9	NOUN
ap-5173	661	22	−6.7334×	−6.7334×	NOUN
ap-5173	662	1	bf10	bf10	NOUN
ap-5173	662	2	+	+	CCONJ
ap-5173	662	3	1.1376×	1.1376×	NUM
ap-5173	662	4	bf11	bf11	PROPN
ap-5173	662	5	+0.61503×	+0.61503×	PROPN
ap-5173	662	6	bf12	bf12	PROPN
ap-5173	662	7	+	+	CCONJ
ap-5173	662	8	0.79404×	0.79404×	X
ap-5173	662	9	bf13	bf13	PROPN
ap-5173	662	10	−1.766×	−1.766×	ADP
ap-5173	662	11	bf14	bf14	PROPN
ap-5173	662	12	+	+	CCONJ
ap-5173	662	13	0.20451×	0.20451×	NUM
ap-5173	662	14	bf15	bf15	PROPN
ap-5173	662	15	−1.8976×	−1.8976×	PART
ap-5173	662	16	bf16−	bf16−	NOUN
ap-5173	662	17	5.8421×	5.8421×	NUM
ap-5173	662	18	bf17	bf17	PROPN
ap-5173	662	19	+0.72146×	+0.72146×	PROPN
ap-5173	662	20	bf18	bf18	PROPN
ap-5173	662	21	+	+	CCONJ
ap-5173	662	22	0.86513×	0.86513×	X
ap-5173	663	1	bf19	bf19	PROPN
ap-5173	663	2	(	(	PUNCT
ap-5173	663	3	31	31	NUM
ap-5173	663	4	)	)	PUNCT
ap-5173	663	5	calorificvalue	calorificvalue	NOUN
ap-5173	663	6	(	(	PUNCT
ap-5173	663	7	mj	mj	NOUN
ap-5173	663	8	/	/	SYM
ap-5173	663	9	nm3	nm3	NOUN
ap-5173	663	10	)	)	PUNCT
ap-5173	663	11	=	=	SYM
ap-5173	663	12	13.528	13.528	NUM
ap-5173	663	13	−0.0044217×	−0.0044217×	NUM
ap-5173	663	14	bf1−	bf1−	VERB
ap-5173	663	15	0.13132×	0.13132×	PROPN
ap-5173	663	16	bf2	bf2	PROPN
ap-5173	663	17	−0.14469×	−0.14469×	X
ap-5173	663	18	bf3−	bf3−	ADP
ap-5173	663	19	1.1482×	1.1482×	X
ap-5173	663	20	bf4	bf4	X
ap-5173	664	1	+0.015322×	+0.015322×	ADJ
ap-5173	664	2	bf5−	bf5−	VERB
ap-5173	664	3	0.0034767×	0.0034767×	NOUN
ap-5173	664	4	bf6	bf6	NOUN
ap-5173	664	5	−0.019788×	−0.019788×	NUM
ap-5173	664	6	bf7	bf7	NOUN
ap-5173	664	7	+	+	CCONJ
ap-5173	664	8	0.11264×	0.11264×	X
ap-5173	664	9	bf8	bf8	ADJ
ap-5173	664	10	+0.55397×	+0.55397×	PROPN
ap-5173	664	11	bf9−	bf9−	ADJ
ap-5173	664	12	0.21132×	0.21132×	NOUN
ap-5173	665	1	bf10	bf10	PROPN
ap-5173	665	2	−0.84369×	−0.84369×	PUNCT
ap-5173	665	3	bf11	bf11	PROPN
ap-5173	665	4	+	+	CCONJ
ap-5173	665	5	0.032498×	0.032498×	NUM
ap-5173	665	6	bf12	bf12	NOUN
ap-5173	665	7	−0.16806×	−0.16806×	PUNCT
ap-5173	665	8	bf13	bf13	PROPN
ap-5173	665	9	+	+	CCONJ
ap-5173	665	10	0.12228×	0.12228×	NUM
ap-5173	666	1	bf14	bf14	PROPN
ap-5173	666	2	+0.084482×	+0.084482×	NUM
ap-5173	666	3	bf15	bf15	PROPN
ap-5173	666	4	+	+	CCONJ
ap-5173	666	5	0.00096036×	0.00096036×	NOUN
ap-5173	666	6	bf16	bf16	PROPN
ap-5173	666	7	+0.00075854×	+0.00075854×	PROPN
ap-5173	666	8	bf17	bf17	PROPN
ap-5173	666	9	(	(	PUNCT
ap-5173	666	10	32	32	NUM
ap-5173	666	11	)	)	PUNCT
ap-5173	666	12	due	due	ADP
ap-5173	666	13	to	to	ADP
ap-5173	666	14	the	the	DET
ap-5173	666	15	fact	fact	NOUN
ap-5173	666	16	that	that	SCONJ
ap-5173	666	17	the	the	DET
ap-5173	666	18	piecewise	piecewise	NOUN
ap-5173	666	19	-	-	PUNCT
ap-5173	666	20	linear	linear	NOUN
ap-5173	666	21	type	type	NOUN
ap-5173	666	22	of	of	ADP
ap-5173	666	23	the	the	DET
ap-5173	666	24	model	model	NOUN
ap-5173	666	25	gives	give	VERB
ap-5173	666	26	,	,	PUNCT
ap-5173	666	27	during	during	ADP
ap-5173	666	28	the	the	DET
ap-5173	666	29	training	training	NOUN
ap-5173	666	30	,	,	PUNCT
ap-5173	666	31	better	well	ADJ
ap-5173	666	32	results	result	NOUN
ap-5173	666	33	in	in	ADP
ap-5173	666	34	terms	term	NOUN
ap-5173	666	35	of	of	ADP
ap-5173	666	36	all	all	DET
ap-5173	666	37	indicators	indicator	NOUN
ap-5173	666	38	,	,	PUNCT
ap-5173	666	39	these	these	DET
ap-5173	666	40	variants	variant	NOUN
ap-5173	666	41	of	of	ADP
ap-5173	666	42	the	the	DET
ap-5173	666	43	model	model	NOUN
ap-5173	666	44	are	be	AUX
ap-5173	666	45	also	also	ADV
ap-5173	666	46	presented	present	VERB
ap-5173	666	47	.	.	PUNCT
ap-5173	667	1	these	these	PRON
ap-5173	667	2	are	be	AUX
ap-5173	667	3	models	model	NOUN
ap-5173	667	4	with	with	ADP
ap-5173	667	5	all	all	DET
ap-5173	667	6	considered	consider	VERB
ap-5173	667	7	inputs	input	NOUN
ap-5173	667	8	for	for	ADP
ap-5173	667	9	the	the	DET
ap-5173	667	10	prediction	prediction	NOUN
ap-5173	667	11	of	of	ADP
ap-5173	667	12	the	the	DET
ap-5173	667	13	given	give	VERB
ap-5173	667	14	target	target	NOUN
ap-5173	667	15	.	.	PUNCT
ap-5173	668	1	piecewise	piecewise	NOUN
ap-5173	668	2	-	-	PUNCT
ap-5173	668	3	linear	linear	NOUN
ap-5173	668	4	type	type	NOUN
ap-5173	668	5	of	of	ADP
ap-5173	668	6	mars	mar	NOUN
ap-5173	668	7	model	model	NOUN
ap-5173	668	8	usage	usage	NOUN
ap-5173	668	9	max(0	max(0	NOUN
ap-5173	668	10	,	,	PUNCT
ap-5173	668	11	x−t	x−t	PROPN
ap-5173	668	12	)	)	PUNCT
ap-5173	668	13	function	function	NOUN
ap-5173	668	14	,	,	PUNCT
ap-5173	668	15	where	where	SCONJ
ap-5173	668	16	t	t	PROPN
ap-5173	668	17	is	be	AUX
ap-5173	668	18	the	the	DET
ap-5173	668	19	knot	knot	NOUN
ap-5173	668	20	.	.	PUNCT
ap-5173	669	1	the	the	DET
ap-5173	669	2	max	max	PROPN
ap-5173	669	3	(	(	PUNCT
ap-5173	669	4	)	)	PUNCT
ap-5173	669	5	function	function	NOUN
ap-5173	669	6	represents	represent	VERB
ap-5173	669	7	positive	positive	ADJ
ap-5173	669	8	part	part	NOUN
ap-5173	669	9	of	of	ADP
ap-5173	669	10	(	(	PUNCT
ap-5173	669	11	0	0	NUM
ap-5173	669	12	,	,	PUNCT
ap-5173	669	13	x	x	NOUN
ap-5173	669	14	−	−	PROPN
ap-5173	669	15	t	t	PROPN
ap-5173	669	16	)	)	PUNCT
ap-5173	669	17	which	which	PRON
ap-5173	669	18	can	can	AUX
ap-5173	669	19	be	be	AUX
ap-5173	669	20	formally	formally	ADV
ap-5173	669	21	expressed	express	VERB
ap-5173	669	22	as	as	ADP
ap-5173	669	23	the	the	DET
ap-5173	669	24	following	following	NOUN
ap-5173	669	25	:	:	PUNCT
ap-5173	669	26	max(0	max(0	PROPN
ap-5173	669	27	,	,	PUNCT
ap-5173	669	28	x−	x−	PROPN
ap-5173	669	29	t	t	PROPN
ap-5173	669	30	)	)	PUNCT
ap-5173	669	31	=	=	PRON
ap-5173	669	32	{	{	PUNCT
ap-5173	669	33	x−	x−	PROPN
ap-5173	669	34	t	t	PROPN
ap-5173	669	35	,	,	PUNCT
ap-5173	669	36	if	if	SCONJ
ap-5173	669	37	x	x	X
ap-5173	669	38	≥	≥	NOUN
ap-5173	669	39	t	t	PROPN
ap-5173	669	40	0	0	NUM
ap-5173	669	41	,	,	PUNCT
ap-5173	669	42	otherwise	otherwise	ADV
ap-5173	669	43	(	(	PUNCT
ap-5173	669	44	33	33	NUM
ap-5173	669	45	)	)	PUNCT
ap-5173	669	46	339	339	NUM
ap-5173	669	47	j.	j.	PROPN
ap-5173	669	48	kačur	kačur	PROPN
ap-5173	669	49	,	,	PUNCT
ap-5173	669	50	m.	m.	NOUN
ap-5173	669	51	durdán	durdán	PROPN
ap-5173	669	52	,	,	PUNCT
ap-5173	669	53	m.	m.	NOUN
ap-5173	669	54	laciak	laciak	NOUN
ap-5173	669	55	,	,	PUNCT
ap-5173	669	56	p.	p.	PROPN
ap-5173	669	57	flegner	flegner	PROPN
ap-5173	669	58	acta	acta	PROPN
ap-5173	669	59	polytechnica	polytechnica	PROPN
ap-5173	669	60	figure	figure	NOUN
ap-5173	669	61	10	10	NUM
ap-5173	669	62	.	.	PUNCT
ap-5173	669	63	example	example	NOUN
ap-5173	669	64	of	of	ADP
ap-5173	669	65	the	the	DET
ap-5173	669	66	estimation	estimation	NOUN
ap-5173	669	67	of	of	ADP
ap-5173	669	68	the	the	DET
ap-5173	669	69	“	"	PUNCT
ap-5173	669	70	best	good	ADJ
ap-5173	669	71	”	"	PUNCT
ap-5173	669	72	number	number	NOUN
ap-5173	669	73	of	of	ADP
ap-5173	669	74	bfs	bfs	NOUN
ap-5173	669	75	of	of	ADP
ap-5173	669	76	the	the	DET
ap-5173	669	77	calorific	calorific	ADJ
ap-5173	669	78	value	value	NOUN
ap-5173	669	79	mars	mar	NOUN
ap-5173	669	80	model	model	NOUN
ap-5173	669	81	with	with	ADP
ap-5173	669	82	three	three	NUM
ap-5173	669	83	inputs	input	NOUN
ap-5173	669	84	by	by	ADP
ap-5173	669	85	gcv	gcv	PROPN
ap-5173	669	86	and	and	CCONJ
ap-5173	669	87	10	10	NUM
ap-5173	669	88	-	-	ADJ
ap-5173	669	89	fold	fold	ADJ
ap-5173	669	90	cross	cross	NOUN
ap-5173	669	91	-	-	NOUN
ap-5173	669	92	validation	validation	ADJ
ap-5173	669	93	(	(	PUNCT
ap-5173	669	94	i.e.	i.e.	X
ap-5173	669	95	,	,	PUNCT
ap-5173	669	96	mseoof	mseoof	NOUN
ap-5173	669	97	)	)	PUNCT
ap-5173	669	98	.	.	PUNCT
ap-5173	670	1	figure	figure	VERB
ap-5173	670	2	11	11	NUM
ap-5173	670	3	.	.	PUNCT
ap-5173	671	1	example	example	NOUN
ap-5173	671	2	of	of	ADP
ap-5173	671	3	estimation	estimation	NOUN
ap-5173	671	4	of	of	ADP
ap-5173	671	5	the	the	DET
ap-5173	671	6	“	"	PUNCT
ap-5173	671	7	best	good	ADJ
ap-5173	671	8	”	"	PUNCT
ap-5173	671	9	number	number	NOUN
ap-5173	671	10	of	of	ADP
ap-5173	671	11	bfs	bfs	NOUN
ap-5173	671	12	in	in	ADP
ap-5173	671	13	mars	mar	NOUN
ap-5173	671	14	model	model	NOUN
ap-5173	671	15	of	of	ADP
ap-5173	671	16	underground	underground	ADJ
ap-5173	671	17	temperature	temperature	NOUN
ap-5173	671	18	with	with	ADP
ap-5173	671	19	five	five	NUM
ap-5173	671	20	input	input	NOUN
ap-5173	671	21	by	by	ADP
ap-5173	671	22	gcv	gcv	PROPN
ap-5173	671	23	and	and	CCONJ
ap-5173	671	24	10	10	NUM
ap-5173	671	25	-	-	ADJ
ap-5173	671	26	fold	fold	ADJ
ap-5173	671	27	cross	cross	NOUN
ap-5173	671	28	-	-	NOUN
ap-5173	671	29	validation	validation	ADJ
ap-5173	671	30	(	(	PUNCT
ap-5173	671	31	i.e.	i.e.	X
ap-5173	671	32	,	,	PUNCT
ap-5173	671	33	mseoof	mseoof	NOUN
ap-5173	671	34	)	)	PUNCT
ap-5173	671	35	.	.	PUNCT
ap-5173	672	1	340	340	NUM
ap-5173	672	2	vol	vol	NOUN
ap-5173	672	3	.	.	PUNCT
ap-5173	673	1	59	59	NUM
ap-5173	673	2	no	no	NOUN
ap-5173	673	3	.	.	PUNCT
ap-5173	674	1	4/2019	4/2019	NUM
ap-5173	674	2	a	a	DET
ap-5173	674	3	comparative	comparative	ADJ
ap-5173	674	4	study	study	NOUN
ap-5173	674	5	of	of	ADP
ap-5173	674	6	data	data	NOUN
ap-5173	674	7	-	-	PUNCT
ap-5173	674	8	driven	drive	VERB
ap-5173	674	9	modeling	modeling	NOUN
ap-5173	674	10	methods	method	NOUN
ap-5173	674	11	.	.	PUNCT
ap-5173	674	12	.	.	PUNCT
ap-5173	674	13	.	.	PUNCT
ap-5173	675	1	pr	pr	INTJ
ap-5173	676	1	ed	ed	INTJ
ap-5173	677	1	ic	ic	PROPN
ap-5173	677	2	te	te	PROPN
ap-5173	677	3	d	d	PROPN
ap-5173	677	4	va	va	PROPN
ap-5173	677	5	ria	ria	PROPN
ap-5173	677	6	bl	bl	PROPN
ap-5173	677	7	e	e	PROPN
ap-5173	677	8	ty	ty	INTJ
ap-5173	677	9	pe	pe	INTJ
ap-5173	677	10	of	of	ADP
ap-5173	677	11	m	m	PROPN
ap-5173	677	12	a	a	DET
ap-5173	677	13	r	r	NOUN
ap-5173	677	14	s	s	AUX
ap-5173	677	15	m	m	NOUN
ap-5173	677	16	od	od	PROPN
ap-5173	677	17	el	el	PROPN
ap-5173	677	18	n	n	CCONJ
ap-5173	677	19	um	um	INTJ
ap-5173	677	20	be	be	AUX
ap-5173	677	21	r	r	NOUN
ap-5173	677	22	of	of	ADP
ap-5173	677	23	bf	bf	NOUN
ap-5173	677	24	s	s	PROPN
ap-5173	677	25	in	in	ADP
ap-5173	677	26	fin	fin	NOUN
ap-5173	677	27	al	al	PROPN
ap-5173	677	28	m	m	PROPN
ap-5173	677	29	od	od	PROPN
ap-5173	677	30	el	el	PROPN
ap-5173	677	31	in	in	ADP
ap-5173	677	32	cl	cl	NOUN
ap-5173	677	33	ud	ud	INTJ
ap-5173	677	34	in	in	ADP
ap-5173	677	35	g	g	PROPN
ap-5173	677	36	bf	bf	NOUN
ap-5173	677	37	0	0	NUM
ap-5173	678	1	o	o	NOUN
ap-5173	678	2	bs	bs	INTJ
ap-5173	678	3	er	er	INTJ
ap-5173	678	4	va	va	NOUN
ap-5173	678	5	tio	tio	PROPN
ap-5173	678	6	ns	ns	INTJ
ap-5173	678	7	(	(	PUNCT
ap-5173	678	8	in	in	ADP
ap-5173	678	9	pu	pu	PROPN
ap-5173	678	10	ts	ts	ADV
ap-5173	678	11	)	)	PUNCT
ap-5173	678	12	tr	tr	VERB
ap-5173	678	13	ai	ai	PROPN
ap-5173	678	14	ni	ni	PROPN
ap-5173	678	15	ng	ng	PROPN
ap-5173	678	16	te	te	PROPN
ap-5173	678	17	st	st	PROPN
ap-5173	678	18	in	in	ADP
ap-5173	678	19	g	g	PROPN
ap-5173	678	20	r	r	NOUN
ap-5173	678	21	y	y	PROPN
ap-5173	678	22	y	y	PROPN
ap-5173	678	23	r2	r2	PROPN
ap-5173	679	1	y	y	PROPN
ap-5173	679	2	y	y	PROPN
ap-5173	679	3	r	r	NOUN
ap-5173	680	1	r	r	NOUN
ap-5173	680	2	m	m	VERB
ap-5173	680	3	se	se	X
ap-5173	680	4	(	(	PUNCT
ap-5173	680	5	%	%	NOUN
ap-5173	680	6	)	)	PUNCT
ap-5173	681	1	pi	pi	NOUN
ap-5173	681	2	m	m	PROPN
ap-5173	681	3	a	a	DET
ap-5173	681	4	pe	pe	X
ap-5173	681	5	(	(	PUNCT
ap-5173	681	6	%	%	NOUN
ap-5173	681	7	)	)	PUNCT
ap-5173	681	8	m	m	VERB
ap-5173	681	9	se	se	INTJ
ap-5173	681	10	r	r	NOUN
ap-5173	681	11	m	m	PROPN
ap-5173	681	12	se	se	PROPN
ap-5173	681	13	t	t	PROPN
ap-5173	682	1	i	i	PRON
ap-5173	682	2	m	m	VERB
ap-5173	682	3	e	e	X
ap-5173	682	4	(	(	PUNCT
ap-5173	682	5	s	s	NOUN
ap-5173	682	6	)	)	PUNCT
ap-5173	682	7	r	r	NOUN
ap-5173	682	8	y	y	PROPN
ap-5173	682	9	y	y	PROPN
ap-5173	682	10	2	2	NUM
ap-5173	682	11	ry	ry	NOUN
ap-5173	683	1	y	y	PROPN
ap-5173	683	2	r	r	NOUN
ap-5173	683	3	r	r	NOUN
ap-5173	683	4	m	m	VERB
ap-5173	683	5	se	se	X
ap-5173	683	6	(	(	PUNCT
ap-5173	683	7	%	%	NOUN
ap-5173	683	8	)	)	PUNCT
ap-5173	684	1	pi	pi	NOUN
ap-5173	684	2	m	m	PROPN
ap-5173	684	3	a	a	DET
ap-5173	684	4	pe	pe	X
ap-5173	684	5	(	(	PUNCT
ap-5173	684	6	%	%	NOUN
ap-5173	684	7	)	)	PUNCT
ap-5173	684	8	m	m	VERB
ap-5173	684	9	se	se	INTJ
ap-5173	684	10	r	r	NOUN
ap-5173	684	11	m	m	VERB
ap-5173	684	12	se	se	PROPN
ap-5173	684	13	te	te	ADP
ap-5173	684	14	m	m	PROPN
ap-5173	684	15	pe	pe	INTJ
ap-5173	684	16	ra	ra	PROPN
ap-5173	684	17	tu	tu	PROPN
ap-5173	684	18	re	re	ADP
ap-5173	684	19	pi	pi	PROPN
ap-5173	684	20	ec	ec	PROPN
ap-5173	684	21	ew	ew	PROPN
ap-5173	684	22	ise	ise	PROPN
ap-5173	685	1	-c	-c	PUNCT
ap-5173	685	2	ub	ub	INTJ
ap-5173	685	3	ic	ic	PROPN
ap-5173	686	1	16	16	NUM
ap-5173	686	2	c	c	NOUN
ap-5173	686	3	o	o	NOUN
ap-5173	686	4	,	,	PUNCT
ap-5173	686	5	c	c	NOUN
ap-5173	686	6	o	o	NOUN
ap-5173	686	7	2	2	NUM
ap-5173	686	8	0	0	NUM
ap-5173	686	9	.	.	PUNCT
ap-5173	687	1	47	47	NUM
ap-5173	687	2	07	07	NUM
ap-5173	687	3	0	0	NUM
ap-5173	687	4	.	.	PUNCT
ap-5173	688	1	22	22	NUM
ap-5173	688	2	16	16	NUM
ap-5173	688	3	7	7	NUM
ap-5173	688	4	.	.	X
ap-5173	688	5	23	23	NUM
ap-5173	688	6	42	42	NUM
ap-5173	688	7	4	4	NUM
ap-5173	688	8	.	.	PUNCT
ap-5173	689	1	91	91	NUM
ap-5173	689	2	89	89	NUM
ap-5173	689	3	5	5	NUM
ap-5173	689	4	.	.	PUNCT
ap-5173	689	5	74	74	NUM
ap-5173	689	6	32	32	NUM
ap-5173	689	7	52	52	NUM
ap-5173	689	8	94	94	NUM
ap-5173	689	9	.1	.1	NUM
ap-5173	689	10	48	48	NUM
ap-5173	689	11	1	1	NUM
ap-5173	689	12	72	72	NUM
ap-5173	689	13	.7	.7	NUM
ap-5173	689	14	60	60	NUM
ap-5173	689	15	9	9	NUM
ap-5173	689	16	10	10	NUM
ap-5173	689	17	.5	.5	NUM
ap-5173	689	18	61	61	NUM
ap-5173	689	19	9	9	NUM
ap-5173	689	20	0	0	NUM
ap-5173	689	21	.	.	PUNCT
ap-5173	690	1	23	23	NUM
ap-5173	690	2	12	12	NUM
ap-5173	690	3	0	0	NUM
ap-5173	690	4	.	.	PUNCT
ap-5173	691	1	05	05	NUM
ap-5173	692	1	34	34	NUM
ap-5173	692	2	10	10	NUM
ap-5173	692	3	.5	.5	NUM
ap-5173	692	4	86	86	NUM
ap-5173	692	5	5	5	NUM
ap-5173	692	6	8	8	NUM
ap-5173	692	7	.	.	PUNCT
ap-5173	693	1	59	59	NUM
ap-5173	693	2	86	86	NUM
ap-5173	693	3	8	8	NUM
ap-5173	693	4	.	.	PUNCT
ap-5173	694	1	87	87	NUM
ap-5173	694	2	79	79	NUM
ap-5173	694	3	10	10	NUM
ap-5173	694	4	31	31	NUM
ap-5173	694	5	6	6	NUM
ap-5173	694	6	.	.	NUM
ap-5173	694	7	44	44	NUM
ap-5173	694	8	17	17	NUM
ap-5173	694	9	10	10	NUM
ap-5173	694	10	1	1	NUM
ap-5173	694	11	.	.	PUNCT
ap-5173	695	1	56	56	NUM
ap-5173	695	2	99	99	NUM
ap-5173	695	3	20	20	NUM
ap-5173	695	4	c	c	NOUN
ap-5173	695	5	o	o	NOUN
ap-5173	695	6	,	,	PUNCT
ap-5173	695	7	c	c	NOUN
ap-5173	695	8	o	o	NOUN
ap-5173	695	9	2	2	NUM
ap-5173	695	10	,	,	PUNCT
ap-5173	695	11	h	h	NOUN
ap-5173	695	12	2	2	NUM
ap-5173	695	13	,	,	PUNCT
ap-5173	695	14	c	c	NOUN
ap-5173	695	15	h	h	NOUN
ap-5173	695	16	4	4	NUM
ap-5173	695	17	,	,	PUNCT
ap-5173	695	18	o	o	NOUN
ap-5173	695	19	2	2	NUM
ap-5173	695	20	0	0	NUM
ap-5173	695	21	.	.	PUNCT
ap-5173	696	1	58	58	NUM
ap-5173	696	2	59	59	NUM
ap-5173	696	3	0	0	NUM
ap-5173	696	4	.	.	PUNCT
ap-5173	697	1	34	34	NUM
ap-5173	697	2	33	33	NUM
ap-5173	697	3	6	6	NUM
ap-5173	697	4	.	.	NUM
ap-5173	698	1	64	64	NUM
ap-5173	698	2	45	45	NUM
ap-5173	698	3	4	4	NUM
ap-5173	698	4	.	.	NUM
ap-5173	698	5	18	18	NUM
ap-5173	698	6	97	97	NUM
ap-5173	698	7	5	5	NUM
ap-5173	698	8	.	.	NOUN
ap-5173	698	9	20	20	NUM
ap-5173	698	10	14	14	NUM
ap-5173	698	11	44	44	NUM
ap-5173	698	12	66	66	NUM
ap-5173	698	13	.1	.1	NUM
ap-5173	698	14	54	54	NUM
ap-5173	698	15	4	4	NUM
ap-5173	698	16	66	66	NUM
ap-5173	698	17	.8	.8	NUM
ap-5173	698	18	29	29	NUM
ap-5173	698	19	3	3	NUM
ap-5173	698	20	17	17	NUM
ap-5173	698	21	.8	.8	NUM
ap-5173	698	22	53	53	NUM
ap-5173	698	23	8	8	NUM
ap-5173	698	24	0	0	NUM
ap-5173	698	25	.	.	PUNCT
ap-5173	699	1	60	60	NUM
ap-5173	699	2	31	31	NUM
ap-5173	699	3	0	0	NUM
ap-5173	699	4	.	.	PUNCT
ap-5173	700	1	36	36	NUM
ap-5173	700	2	37	37	NUM
ap-5173	700	3	6	6	NUM
ap-5173	700	4	.	.	PUNCT
ap-5173	701	1	42	42	NUM
ap-5173	701	2	75	75	NUM
ap-5173	701	3	4	4	NUM
ap-5173	701	4	.	.	PUNCT
ap-5173	701	5	00	00	NUM
ap-5173	701	6	94	94	NUM
ap-5173	701	7	5	5	NUM
ap-5173	701	8	.	.	PUNCT
ap-5173	701	9	16	16	NUM
ap-5173	701	10	23	23	NUM
ap-5173	701	11	38	38	NUM
ap-5173	701	12	02	02	NUM
ap-5173	701	13	.8	.8	NUM
ap-5173	701	14	74	74	NUM
ap-5173	701	15	7	7	NUM
ap-5173	701	16	61	61	NUM
ap-5173	701	17	.6	.6	NUM
ap-5173	701	18	67	67	NUM
ap-5173	701	19	5	5	NUM
ap-5173	701	20	pi	pi	NOUN
ap-5173	701	21	ec	ec	PROPN
ap-5173	701	22	ew	ew	INTJ
ap-5173	701	23	ise	ise	PROPN
ap-5173	701	24	-li	-li	PROPN
ap-5173	701	25	ne	ne	PROPN
ap-5173	701	26	ar	ar	PROPN
ap-5173	701	27	16	16	NUM
ap-5173	701	28	c	c	NOUN
ap-5173	701	29	o	o	NOUN
ap-5173	701	30	,	,	PUNCT
ap-5173	702	1	c	c	NOUN
ap-5173	702	2	o	o	NOUN
ap-5173	702	3	2	2	NUM
ap-5173	702	4	0	0	NUM
ap-5173	702	5	.	.	PUNCT
ap-5173	702	6	49	49	NUM
ap-5173	702	7	85	85	NUM
ap-5173	702	8	0	0	NUM
ap-5173	702	9	.	.	PUNCT
ap-5173	703	1	24	24	NUM
ap-5173	703	2	85	85	NUM
ap-5173	703	3	7	7	NUM
ap-5173	703	4	.	.	PUNCT
ap-5173	703	5	10	10	NUM
ap-5173	703	6	80	80	NUM
ap-5173	703	7	4	4	NUM
ap-5173	703	8	.	.	X
ap-5173	703	9	74	74	NUM
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ap-5173	703	11	5	5	NUM
ap-5173	703	12	.	.	PUNCT
ap-5173	704	1	62	62	NUM
ap-5173	704	2	62	62	NUM
ap-5173	704	3	51	51	NUM
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ap-5173	704	7	4	4	NUM
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ap-5173	704	9	.4	.4	NUM
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ap-5173	704	13	.1	.1	NUM
ap-5173	704	14	52	52	NUM
ap-5173	704	15	5	5	NUM
ap-5173	704	16	0	0	NUM
ap-5173	704	17	.	.	PUNCT
ap-5173	704	18	32	32	NUM
ap-5173	704	19	82	82	NUM
ap-5173	704	20	0	0	NUM
ap-5173	704	21	.	.	PUNCT
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ap-5173	705	7	8	8	NUM
ap-5173	705	8	.	.	PUNCT
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ap-5173	706	2	9	9	NUM
ap-5173	706	3	.	.	PUNCT
ap-5173	707	1	16	16	NUM
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ap-5173	707	3	10	10	NUM
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ap-5173	707	5	4	4	NUM
ap-5173	707	6	.	.	SYM
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ap-5173	707	11	.	.	NUM
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ap-5173	708	4	o	o	NOUN
ap-5173	708	5	,	,	PUNCT
ap-5173	708	6	c	c	NOUN
ap-5173	708	7	o	o	NOUN
ap-5173	708	8	2	2	NUM
ap-5173	708	9	,	,	PUNCT
ap-5173	708	10	h	h	NOUN
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ap-5173	708	12	,	,	PUNCT
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ap-5173	708	15	4	4	NUM
ap-5173	708	16	,	,	PUNCT
ap-5173	708	17	o	o	NOUN
ap-5173	708	18	2	2	NUM
ap-5173	708	19	0	0	NUM
ap-5173	708	20	.	.	PUNCT
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ap-5173	708	23	0	0	NUM
ap-5173	708	24	.	.	PUNCT
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ap-5173	708	28	.	.	NOUN
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ap-5173	708	31	3	3	NUM
ap-5173	708	32	.	.	PUNCT
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ap-5173	708	35	4	4	NUM
ap-5173	708	36	.	.	PUNCT
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ap-5173	708	42	20	20	NUM
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ap-5173	708	46	72	72	NUM
ap-5173	708	47	9	9	NUM
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ap-5173	708	49	.8	.8	NUM
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ap-5173	708	51	2	2	NUM
ap-5173	708	52	0	0	NUM
ap-5173	708	53	.	.	PUNCT
ap-5173	708	54	57	57	NUM
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ap-5173	708	56	0	0	NUM
ap-5173	708	57	.	.	PUNCT
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ap-5173	709	4	.	.	PUNCT
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ap-5173	710	3	5	5	NUM
ap-5173	710	4	.	.	PUNCT
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ap-5173	710	7	7	7	NUM
ap-5173	710	8	.	.	NUM
ap-5173	710	9	52	52	NUM
ap-5173	710	10	83	83	NUM
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ap-5173	710	13	.2	.2	NUM
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ap-5173	710	19	6	6	NUM
ap-5173	710	20	c	c	NOUN
ap-5173	710	21	al	al	PROPN
ap-5173	710	22	or	or	CCONJ
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ap-5173	711	1	e	e	PROPN
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ap-5173	711	4	ew	ew	PROPN
ap-5173	711	5	ise	ise	PROPN
ap-5173	711	6	-c	-c	PUNCT
ap-5173	711	7	ub	ub	INTJ
ap-5173	711	8	ic	ic	PROPN
ap-5173	711	9	15	15	NUM
ap-5173	711	10	a	a	DET
ap-5173	711	11	ir	ir	NOUN
ap-5173	711	12	,	,	PUNCT
ap-5173	711	13	o	o	NOUN
ap-5173	711	14	2	2	NUM
ap-5173	711	15	0	0	NUM
ap-5173	711	16	.	.	PUNCT
ap-5173	711	17	78	78	NUM
ap-5173	711	18	63	63	NUM
ap-5173	711	19	0	0	NUM
ap-5173	711	20	.	.	PUNCT
ap-5173	712	1	61	61	NUM
ap-5173	712	2	83	83	NUM
ap-5173	712	3	20	20	NUM
ap-5173	712	4	.7	.7	NUM
ap-5173	712	5	58	58	NUM
ap-5173	712	6	2	2	NUM
ap-5173	712	7	11	11	NUM
ap-5173	712	8	.6	.6	NUM
ap-5173	712	9	20	20	NUM
ap-5173	712	10	8	8	NUM
ap-5173	712	11	24	24	NUM
ap-5173	712	12	.0	.0	NUM
ap-5173	712	13	94	94	NUM
ap-5173	712	14	6	6	NUM
ap-5173	712	15	3	3	NUM
ap-5173	712	16	.	.	PUNCT
ap-5173	713	1	73	73	NUM
ap-5173	713	2	07	07	NUM
ap-5173	713	3	1	1	NUM
ap-5173	713	4	.	.	PUNCT
ap-5173	714	1	93	93	NUM
ap-5173	714	2	15	15	NUM
ap-5173	714	3	8	8	NUM
ap-5173	714	4	.	.	PUNCT
ap-5173	715	1	05	05	NUM
ap-5173	716	1	20	20	NUM
ap-5173	716	2	0	0	NUM
ap-5173	716	3	.	.	PUNCT
ap-5173	716	4	04	04	NUM
ap-5173	717	1	19	19	NUM
ap-5173	717	2	0	0	NUM
ap-5173	717	3	.	.	PUNCT
ap-5173	717	4	00	00	NUM
ap-5173	718	1	18	18	NUM
ap-5173	718	2	83	83	NUM
ap-5173	718	3	.9	.9	NUM
ap-5173	718	4	17	17	NUM
ap-5173	718	5	9	9	NUM
ap-5173	718	6	80	80	NUM
ap-5173	718	7	.5	.5	NUM
ap-5173	718	8	43	43	NUM
ap-5173	718	9	1	1	NUM
ap-5173	718	10	32	32	NUM
ap-5173	718	11	.5	.5	NUM
ap-5173	718	12	39	39	NUM
ap-5173	718	13	8	8	NUM
ap-5173	718	14	94	94	NUM
ap-5173	718	15	.3	.3	NUM
ap-5173	718	16	69	69	NUM
ap-5173	718	17	5	5	NUM
ap-5173	718	18	9	9	NUM
ap-5173	718	19	.	.	PUNCT
ap-5173	718	20	71	71	NUM
ap-5173	718	21	44	44	NUM
ap-5173	718	22	18	18	NUM
ap-5173	718	23	a	a	DET
ap-5173	718	24	ir	ir	NOUN
ap-5173	718	25	,	,	PUNCT
ap-5173	718	26	o	o	NOUN
ap-5173	718	27	2	2	NUM
ap-5173	718	28	,	,	PUNCT
ap-5173	718	29	o	o	PROPN
ap-5173	718	30	ut	ut	PROPN
ap-5173	718	31	le	le	PROPN
ap-5173	718	32	t	t	PROPN
ap-5173	718	33	pr	pr	NOUN
ap-5173	718	34	es	es	X
ap-5173	718	35	su	su	PROPN
ap-5173	718	36	re	re	PROPN
ap-5173	718	37	0	0	NUM
ap-5173	718	38	.	.	PUNCT
ap-5173	719	1	86	86	NUM
ap-5173	719	2	61	61	NUM
ap-5173	719	3	0	0	NUM
ap-5173	719	4	.	.	PUNCT
ap-5173	720	1	75	75	NUM
ap-5173	720	2	01	01	NUM
ap-5173	720	3	16	16	NUM
ap-5173	720	4	.7	.7	NUM
ap-5173	720	5	96	96	NUM
ap-5173	720	6	4	4	NUM
ap-5173	720	7	9	9	NUM
ap-5173	720	8	.	.	PUNCT
ap-5173	720	9	00	00	NUM
ap-5173	721	1	10	10	NUM
ap-5173	721	2	17	17	NUM
ap-5173	721	3	.3	.3	NUM
ap-5173	721	4	05	05	NUM
ap-5173	721	5	7	7	NUM
ap-5173	721	6	2	2	NUM
ap-5173	721	7	.	.	NUM
ap-5173	721	8	44	44	NUM
ap-5173	721	9	26	26	NUM
ap-5173	721	10	1	1	NUM
ap-5173	721	11	.	.	PUNCT
ap-5173	722	1	56	56	NUM
ap-5173	722	2	29	29	NUM
ap-5173	722	3	13	13	NUM
ap-5173	722	4	.5	.5	NUM
ap-5173	722	5	41	41	NUM
ap-5173	722	6	4	4	NUM
ap-5173	722	7	0	0	NUM
ap-5173	722	8	.	.	PUNCT
ap-5173	723	1	43	43	NUM
ap-5173	723	2	86	86	NUM
ap-5173	723	3	0	0	NUM
ap-5173	723	4	.	.	PROPN
ap-5173	724	1	19	19	NUM
ap-5173	724	2	24	24	NUM
ap-5173	724	3	17	17	NUM
ap-5173	724	4	.4	.4	NUM
ap-5173	724	5	62	62	NUM
ap-5173	724	6	0	0	NUM
ap-5173	724	7	12	12	NUM
ap-5173	724	8	.1	.1	NUM
ap-5173	724	9	38	38	NUM
ap-5173	724	10	2	2	NUM
ap-5173	724	11	17	17	NUM
ap-5173	724	12	.8	.8	NUM
ap-5173	724	13	49	49	NUM
ap-5173	724	14	3	3	NUM
ap-5173	724	15	4	4	NUM
ap-5173	724	16	.	.	PUNCT
ap-5173	724	17	08	08	NUM
ap-5173	724	18	61	61	NUM
ap-5173	724	19	2	2	NUM
ap-5173	724	20	.	.	PUNCT
ap-5173	724	21	02	02	NUM
ap-5173	724	22	14	14	NUM
ap-5173	724	23	pi	pi	NOUN
ap-5173	724	24	ec	ec	PROPN
ap-5173	724	25	ew	ew	INTJ
ap-5173	724	26	ise	ise	PROPN
ap-5173	724	27	-li	-li	PROPN
ap-5173	724	28	ne	ne	PROPN
ap-5173	724	29	ar	ar	PROPN
ap-5173	724	30	16	16	NUM
ap-5173	724	31	a	a	DET
ap-5173	724	32	ir	ir	NOUN
ap-5173	724	33	,	,	PUNCT
ap-5173	724	34	o	o	NOUN
ap-5173	724	35	2	2	NUM
ap-5173	724	36	0	0	NUM
ap-5173	724	37	.	.	PUNCT
ap-5173	725	1	79	79	NUM
ap-5173	725	2	91	91	NUM
ap-5173	725	3	0	0	NUM
ap-5173	725	4	.	.	PUNCT
ap-5173	726	1	63	63	NUM
ap-5173	726	2	86	86	NUM
ap-5173	726	3	20	20	NUM
ap-5173	726	4	.1	.1	NUM
ap-5173	726	5	96	96	NUM
ap-5173	726	6	5	5	NUM
ap-5173	726	7	11	11	NUM
ap-5173	726	8	.2	.2	NUM
ap-5173	726	9	25	25	NUM
ap-5173	726	10	6	6	NUM
ap-5173	726	11	23	23	NUM
ap-5173	726	12	.0	.0	NUM
ap-5173	726	13	08	08	NUM
ap-5173	726	14	4	4	NUM
ap-5173	726	15	3	3	NUM
ap-5173	726	16	.	.	X
ap-5173	727	1	53	53	NUM
ap-5173	727	2	16	16	NUM
ap-5173	727	3	1	1	NUM
ap-5173	727	4	.	.	PUNCT
ap-5173	728	1	87	87	NUM
ap-5173	728	2	92	92	NUM
ap-5173	728	3	9	9	NUM
ap-5173	728	4	.	.	PUNCT
ap-5173	729	1	16	16	NUM
ap-5173	729	2	35	35	NUM
ap-5173	729	3	0	0	NUM
ap-5173	729	4	.	.	PUNCT
ap-5173	729	5	04	04	NUM
ap-5173	730	1	19	19	NUM
ap-5173	730	2	0	0	NUM
ap-5173	730	3	.	.	PUNCT
ap-5173	730	4	00	00	NUM
ap-5173	731	1	18	18	NUM
ap-5173	731	2	80	80	NUM
ap-5173	731	3	.7	.7	NUM
ap-5173	731	4	36	36	NUM
ap-5173	731	5	5	5	NUM
ap-5173	731	6	77	77	NUM
ap-5173	731	7	.4	.4	NUM
ap-5173	731	8	89	89	NUM
ap-5173	731	9	7	7	NUM
ap-5173	731	10	30	30	NUM
ap-5173	731	11	.3	.3	NUM
ap-5173	731	12	19	19	NUM
ap-5173	731	13	3	3	NUM
ap-5173	731	14	87	87	NUM
ap-5173	731	15	.3	.3	NUM
ap-5173	731	16	50	50	NUM
ap-5173	731	17	0	0	NUM
ap-5173	731	18	9	9	NUM
ap-5173	731	19	.	.	X
ap-5173	732	1	34	34	NUM
ap-5173	732	2	61	61	NUM
ap-5173	732	3	17	17	NUM
ap-5173	732	4	a	a	DET
ap-5173	732	5	ir	ir	NOUN
ap-5173	732	6	,	,	PUNCT
ap-5173	732	7	o	o	NOUN
ap-5173	732	8	2	2	NUM
ap-5173	732	9	,	,	PUNCT
ap-5173	732	10	o	o	PROPN
ap-5173	732	11	ut	ut	PROPN
ap-5173	732	12	le	le	PROPN
ap-5173	732	13	t	t	PROPN
ap-5173	732	14	pr	pr	NOUN
ap-5173	732	15	es	es	X
ap-5173	732	16	su	su	PROPN
ap-5173	732	17	re	re	PROPN
ap-5173	732	18	0	0	NUM
ap-5173	732	19	.	.	PUNCT
ap-5173	733	1	87	87	NUM
ap-5173	733	2	30	30	NUM
ap-5173	733	3	0	0	NUM
ap-5173	733	4	.	.	PUNCT
ap-5173	734	1	76	76	NUM
ap-5173	734	2	21	21	NUM
ap-5173	734	3	16	16	NUM
ap-5173	734	4	.3	.3	NUM
ap-5173	734	5	86	86	NUM
ap-5173	734	6	6	6	NUM
ap-5173	734	7	8	8	NUM
ap-5173	734	8	.	.	PUNCT
ap-5173	735	1	74	74	NUM
ap-5173	735	2	89	89	NUM
ap-5173	735	3	16	16	NUM
ap-5173	735	4	.5	.5	NUM
ap-5173	735	5	88	88	NUM
ap-5173	735	6	3	3	NUM
ap-5173	735	7	2	2	NUM
ap-5173	735	8	.	.	NUM
ap-5173	735	9	32	32	NUM
ap-5173	735	10	49	49	NUM
ap-5173	735	11	1	1	NUM
ap-5173	735	12	.	.	PUNCT
ap-5173	735	13	52	52	NUM
ap-5173	735	14	47	47	NUM
ap-5173	735	15	13	13	NUM
ap-5173	735	16	.4	.4	NUM
ap-5173	735	17	41	41	NUM
ap-5173	735	18	0	0	NUM
ap-5173	735	19	0	0	NUM
ap-5173	735	20	.	.	PUNCT
ap-5173	736	1	42	42	NUM
ap-5173	736	2	38	38	NUM
ap-5173	736	3	0	0	NUM
ap-5173	736	4	.	.	PUNCT
ap-5173	737	1	17	17	NUM
ap-5173	737	2	96	96	NUM
ap-5173	737	3	17	17	NUM
ap-5173	737	4	.8	.8	NUM
ap-5173	737	5	94	94	NUM
ap-5173	737	6	5	5	NUM
ap-5173	737	7	12	12	NUM
ap-5173	737	8	.5	.5	NUM
ap-5173	737	9	68	68	NUM
ap-5173	737	10	1	1	NUM
ap-5173	737	11	18	18	NUM
ap-5173	737	12	.3	.3	NUM
ap-5173	737	13	34	34	NUM
ap-5173	737	14	1	1	NUM
ap-5173	737	15	4	4	NUM
ap-5173	737	16	.	.	NOUN
ap-5173	737	17	29	29	NUM
ap-5173	737	18	10	10	NUM
ap-5173	737	19	2	2	NUM
ap-5173	737	20	.	.	NOUN
ap-5173	737	21	07	07	NUM
ap-5173	737	22	15	15	NUM
ap-5173	737	23	table	table	NOUN
ap-5173	737	24	4	4	NUM
ap-5173	737	25	.	.	PUNCT
ap-5173	737	26	results	result	NOUN
ap-5173	737	27	of	of	ADP
ap-5173	737	28	simulations	simulation	NOUN
ap-5173	737	29	with	with	ADP
ap-5173	737	30	mars	mar	NOUN
ap-5173	737	31	models	model	NOUN
ap-5173	737	32	where	where	SCONJ
ap-5173	737	33	10	10	NUM
ap-5173	737	34	%	%	NOUN
ap-5173	737	35	of	of	ADP
ap-5173	737	36	the	the	DET
ap-5173	737	37	experiment	experiment	NOUN
ap-5173	737	38	was	be	AUX
ap-5173	737	39	used	use	VERB
ap-5173	737	40	to	to	PART
ap-5173	737	41	test	test	VERB
ap-5173	737	42	.	.	PUNCT
ap-5173	738	1	341	341	NUM
ap-5173	738	2	j.	j.	PROPN
ap-5173	738	3	kačur	kačur	PROPN
ap-5173	738	4	,	,	PUNCT
ap-5173	738	5	m.	m.	NOUN
ap-5173	738	6	durdán	durdán	PROPN
ap-5173	738	7	,	,	PUNCT
ap-5173	738	8	m.	m.	NOUN
ap-5173	738	9	laciak	laciak	NOUN
ap-5173	738	10	,	,	PUNCT
ap-5173	738	11	p.	p.	PROPN
ap-5173	738	12	flegner	flegner	PROPN
ap-5173	738	13	acta	acta	PROPN
ap-5173	738	14	polytechnica	polytechnica	PROPN
ap-5173	738	15	bf	bf	NOUN
ap-5173	738	16	equation	equation	NOUN
ap-5173	738	17	bf	bf	NOUN
ap-5173	738	18	equation	equation	NOUN
ap-5173	738	19	bf1	bf1	PROPN
ap-5173	738	20	c(x4	c(x4	PROPN
ap-5173	738	21	|	|	ADV
ap-5173	738	22	+1	+1	PROPN
ap-5173	738	23	,	,	PUNCT
ap-5173	738	24	20.571	20.571	NUM
ap-5173	738	25	,	,	PUNCT
ap-5173	738	26	20.579	20.579	NUM
ap-5173	738	27	,	,	PUNCT
ap-5173	738	28	20.607	20.607	NUM
ap-5173	738	29	)	)	PUNCT
ap-5173	738	30	bf11	bf11	PROPN
ap-5173	738	31	c(x1	c(x1	NOUN
ap-5173	738	32	|	|	INTJ
ap-5173	738	33	+1	+1	PROPN
ap-5173	738	34	,	,	PUNCT
ap-5173	738	35	3.6356	3.6356	NUM
ap-5173	738	36	,	,	PUNCT
ap-5173	738	37	6.3881	6.3881	NUM
ap-5173	738	38	,	,	PUNCT
ap-5173	738	39	7.6506	7.6506	NUM
ap-5173	738	40	)	)	PUNCT
ap-5173	738	41	×	×	NOUN
ap-5173	738	42	c(x2	c(x2	NOUN
ap-5173	738	43	|	|	ADV
ap-5173	738	44	-1	-1	NOUN
ap-5173	738	45	,	,	PUNCT
ap-5173	738	46	19.073	19.073	NUM
ap-5173	738	47	,	,	PUNCT
ap-5173	738	48	26.51	26.51	NUM
ap-5173	738	49	,	,	PUNCT
ap-5173	738	50	28.665	28.665	NUM
ap-5173	738	51	)	)	PUNCT
ap-5173	738	52	bf2	bf2	NOUN
ap-5173	738	53	c(x4	c(x4	NOUN
ap-5173	738	54	|	|	ADV
ap-5173	738	55	-1	-1	NOUN
ap-5173	738	56	,	,	PUNCT
ap-5173	738	57	20.571	20.571	NUM
ap-5173	738	58	,	,	PUNCT
ap-5173	738	59	20.579	20.579	NUM
ap-5173	738	60	,	,	PUNCT
ap-5173	738	61	20.607	20.607	NUM
ap-5173	738	62	)	)	PUNCT
ap-5173	738	63	bf12	bf12	PROPN
ap-5173	738	64	bf8	bf8	ADJ
ap-5173	738	65	×	×	NOUN
ap-5173	738	66	c(x1	c(x1	NOUN
ap-5173	738	67	|	|	INTJ
ap-5173	738	68	+1	+1	PROPN
ap-5173	738	69	,	,	PUNCT
ap-5173	738	70	9.2894	9.2894	NUM
ap-5173	738	71	,	,	PUNCT
ap-5173	738	72	9.6658	9.6658	NUM
ap-5173	738	73	,	,	PUNCT
ap-5173	738	74	14.265	14.265	NUM
ap-5173	738	75	)	)	PUNCT
ap-5173	738	76	bf3	bf3	NOUN
ap-5173	738	77	c(x2	c(x2	NOUN
ap-5173	738	78	|	|	CCONJ
ap-5173	738	79	+1	+1	PROPN
ap-5173	738	80	,	,	PUNCT
ap-5173	738	81	7.967	7.967	NUM
ap-5173	738	82	,	,	PUNCT
ap-5173	738	83	11.636	11.636	NUM
ap-5173	738	84	,	,	PUNCT
ap-5173	738	85	19.073	19.073	NUM
ap-5173	738	86	)	)	PUNCT
ap-5173	739	1	bf13	bf13	PROPN
ap-5173	739	2	bf8	bf8	ADJ
ap-5173	739	3	×	×	NOUN
ap-5173	739	4	c(x1	c(x1	NOUN
ap-5173	739	5	|	|	ADV
ap-5173	739	6	-1	-1	NOUN
ap-5173	739	7	,	,	PUNCT
ap-5173	739	8	9.2894	9.2894	NUM
ap-5173	739	9	,	,	PUNCT
ap-5173	739	10	9.6658	9.6658	NUM
ap-5173	739	11	,	,	PUNCT
ap-5173	739	12	14.265	14.265	NUM
ap-5173	739	13	)	)	PUNCT
ap-5173	739	14	bf4	bf4	NOUN
ap-5173	739	15	c(x2	c(x2	NOUN
ap-5173	739	16	|	|	ADV
ap-5173	739	17	-1	-1	NOUN
ap-5173	739	18	,	,	PUNCT
ap-5173	739	19	7.967	7.967	NUM
ap-5173	739	20	,	,	PUNCT
ap-5173	739	21	11.636	11.636	NUM
ap-5173	739	22	,	,	PUNCT
ap-5173	739	23	19.073	19.073	NUM
ap-5173	739	24	)	)	PUNCT
ap-5173	739	25	bf14	bf14	PROPN
ap-5173	739	26	bf9	bf9	NOUN
ap-5173	739	27	×	×	NOUN
ap-5173	739	28	c(x1	c(x1	NOUN
ap-5173	739	29	|	|	ADV
ap-5173	739	30	+1	+1	PROPN
ap-5173	739	31	,	,	PUNCT
ap-5173	739	32	7.6506	7.6506	NUM
ap-5173	739	33	,	,	PUNCT
ap-5173	739	34	8.9131	8.9131	NUM
ap-5173	739	35	,	,	PUNCT
ap-5173	739	36	9.2894	9.2894	NUM
ap-5173	739	37	)	)	PUNCT
ap-5173	739	38	bf5	bf5	NOUN
ap-5173	739	39	c(x1	c(x1	NOUN
ap-5173	739	40	|	|	ADV
ap-5173	739	41	-1	-1	ADP
ap-5173	739	42	,	,	PUNCT
ap-5173	739	43	3.6356	3.6356	NUM
ap-5173	739	44	,	,	PUNCT
ap-5173	739	45	6.3881	6.3881	NUM
ap-5173	739	46	,	,	PUNCT
ap-5173	739	47	7.6506	7.6506	NUM
ap-5173	739	48	)	)	PUNCT
ap-5173	740	1	bf15	bf15	PROPN
ap-5173	740	2	bf9	bf9	NOUN
ap-5173	740	3	×	×	NOUN
ap-5173	740	4	c(x1	c(x1	NOUN
ap-5173	740	5	|	|	ADV
ap-5173	740	6	-1	-1	NOUN
ap-5173	740	7	,	,	PUNCT
ap-5173	740	8	7.6506	7.6506	NUM
ap-5173	740	9	,	,	PUNCT
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ap-5173	740	12	9.2894	9.2894	NUM
ap-5173	740	13	)	)	PUNCT
ap-5173	740	14	bf6	bf6	NOUN
ap-5173	740	15	c(x3	c(x3	NOUN
ap-5173	740	16	|	|	ADV
ap-5173	740	17	+1	+1	PROPN
ap-5173	740	18	,	,	PUNCT
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ap-5173	740	22	,	,	PUNCT
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ap-5173	740	24	)	)	PUNCT
ap-5173	741	1	bf16	bf16	NOUN
ap-5173	741	2	bf5	bf5	NOUN
ap-5173	741	3	×	×	NOUN
ap-5173	741	4	c(x3	c(x3	NOUN
ap-5173	741	5	|	|	ADV
ap-5173	741	6	+1	+1	PROPN
ap-5173	741	7	,	,	PUNCT
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ap-5173	741	9	,	,	PUNCT
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ap-5173	741	11	,	,	PUNCT
ap-5173	741	12	15.747	15.747	NUM
ap-5173	741	13	)	)	PUNCT
ap-5173	741	14	bf7	bf7	NOUN
ap-5173	741	15	c(x3	c(x3	NOUN
ap-5173	741	16	|	|	ADV
ap-5173	741	17	-1	-1	ADP
ap-5173	741	18	,	,	PUNCT
ap-5173	741	19	15.747	15.747	NUM
ap-5173	741	20	,	,	PUNCT
ap-5173	741	21	26.344	26.344	NUM
ap-5173	741	22	,	,	PUNCT
ap-5173	741	23	30.018	30.018	NUM
ap-5173	741	24	)	)	PUNCT
ap-5173	742	1	bf17	bf17	PROPN
ap-5173	742	2	bf5	bf5	NOUN
ap-5173	742	3	×	×	NOUN
ap-5173	742	4	c(x3	c(x3	NOUN
ap-5173	742	5	|	|	ADV
ap-5173	742	6	-1	-1	ADP
ap-5173	742	7	,	,	PUNCT
ap-5173	742	8	2.5749	2.5749	NUM
ap-5173	742	9	,	,	PUNCT
ap-5173	742	10	5.1498	5.1498	NUM
ap-5173	742	11	,	,	PUNCT
ap-5173	742	12	15.747	15.747	NUM
ap-5173	742	13	)	)	PUNCT
ap-5173	742	14	bf8	bf8	ADJ
ap-5173	742	15	bf3	bf3	NOUN
ap-5173	742	16	×	×	NOUN
ap-5173	742	17	c(x4	c(x4	NOUN
ap-5173	742	18	|	|	ADV
ap-5173	742	19	+1	+1	PROPN
ap-5173	742	20	,	,	PUNCT
ap-5173	742	21	11.785	11.785	NUM
ap-5173	742	22	,	,	PUNCT
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ap-5173	742	24	,	,	PUNCT
ap-5173	742	25	20.571	20.571	NUM
ap-5173	742	26	)	)	PUNCT
ap-5173	742	27	bf18	bf18	PROPN
ap-5173	742	28	bf14	bf14	PROPN
ap-5173	742	29	×	×	PROPN
ap-5173	742	30	c(x5	c(x5	NOUN
ap-5173	742	31	|	|	ADV
ap-5173	742	32	+1	+1	PROPN
ap-5173	742	33	,	,	PUNCT
ap-5173	742	34	2.1322	2.1322	NUM
ap-5173	742	35	,	,	PUNCT
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ap-5173	742	37	,	,	PUNCT
ap-5173	742	38	12.268	12.268	NUM
ap-5173	742	39	)	)	PUNCT
ap-5173	742	40	bf9	bf9	NOUN
ap-5173	742	41	bf3	bf3	NOUN
ap-5173	742	42	×	×	NOUN
ap-5173	742	43	c(x4	c(x4	NOUN
ap-5173	742	44	|	|	ADV
ap-5173	742	45	-1	-1	NOUN
ap-5173	742	46	,	,	PUNCT
ap-5173	742	47	11.785	11.785	NUM
ap-5173	742	48	,	,	PUNCT
ap-5173	742	49	20.563	20.563	NUM
ap-5173	742	50	,	,	PUNCT
ap-5173	742	51	20.571	20.571	NUM
ap-5173	742	52	)	)	PUNCT
ap-5173	742	53	bf19	bf19	PROPN
ap-5173	742	54	bf14	bf14	PROPN
ap-5173	742	55	×	×	PROPN
ap-5173	742	56	c(x5	c(x5	NOUN
ap-5173	742	57	|	|	ADV
ap-5173	742	58	-1	-1	ADP
ap-5173	742	59	,	,	PUNCT
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ap-5173	742	61	,	,	PUNCT
ap-5173	742	62	3.9609	3.9609	NUM
ap-5173	742	63	,	,	PUNCT
ap-5173	742	64	12.268	12.268	NUM
ap-5173	742	65	)	)	PUNCT
ap-5173	742	66	bf10	bf10	NOUN
ap-5173	742	67	c(x1	c(x1	NOUN
ap-5173	742	68	|	|	INTJ
ap-5173	742	69	+1	+1	PROPN
ap-5173	742	70	,	,	PUNCT
ap-5173	742	71	3.6356	3.6356	NUM
ap-5173	742	72	,	,	PUNCT
ap-5173	742	73	6.3881	6.3881	NUM
ap-5173	742	74	,	,	PUNCT
ap-5173	742	75	7.6506	7.6506	NUM
ap-5173	742	76	)	)	PUNCT
ap-5173	742	77	×	×	NOUN
ap-5173	742	78	c(x2	c(x2	NOUN
ap-5173	742	79	|	|	CCONJ
ap-5173	742	80	+1	+1	PROPN
ap-5173	742	81	,	,	PUNCT
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ap-5173	742	83	,	,	PUNCT
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ap-5173	742	85	,	,	PUNCT
ap-5173	742	86	28.665	28.665	NUM
ap-5173	742	87	)	)	PUNCT
ap-5173	742	88	table	table	NOUN
ap-5173	742	89	5	5	NUM
ap-5173	742	90	.	.	PUNCT
ap-5173	742	91	basis	basis	NOUN
ap-5173	742	92	functions	function	NOUN
ap-5173	742	93	of	of	ADP
ap-5173	742	94	piecewise	piecewise	NOUN
ap-5173	742	95	-	-	PUNCT
ap-5173	742	96	cubic	cubic	NOUN
ap-5173	742	97	type	type	NOUN
ap-5173	742	98	of	of	ADP
ap-5173	742	99	mars	mar	NOUN
ap-5173	742	100	model	model	NOUN
ap-5173	742	101	of	of	ADP
ap-5173	742	102	underground	underground	ADJ
ap-5173	742	103	temperature	temperature	NOUN
ap-5173	742	104	(	(	PUNCT
ap-5173	742	105	five	five	NUM
ap-5173	742	106	inputs	input	NOUN
ap-5173	742	107	)	)	PUNCT
ap-5173	742	108	.	.	PUNCT
ap-5173	743	1	bf	bf	NOUN
ap-5173	743	2	equation	equation	NOUN
ap-5173	743	3	bf	bf	NOUN
ap-5173	743	4	equation	equation	NOUN
ap-5173	743	5	bf1	bf1	PROPN
ap-5173	743	6	c(x1	c(x1	PROPN
ap-5173	743	7	|	|	PROPN
ap-5173	743	8	+1	+1	PROPN
ap-5173	743	9	,	,	PUNCT
ap-5173	743	10	5.866	5.866	NUM
ap-5173	743	11	,	,	PUNCT
ap-5173	743	12	11.732	11.732	NUM
ap-5173	743	13	,	,	PUNCT
ap-5173	743	14	17.503	17.503	NUM
ap-5173	743	15	)	)	PUNCT
ap-5173	743	16	×	×	NOUN
ap-5173	743	17	c(x3	c(x3	NOUN
ap-5173	744	1	|	|	ADV
ap-5173	744	2	+1	+1	PROPN
ap-5173	744	3	,	,	PUNCT
ap-5173	744	4	8.357	8.357	NUM
ap-5173	744	5	,	,	PUNCT
ap-5173	744	6	16.442	16.442	NUM
ap-5173	744	7	,	,	PUNCT
ap-5173	744	8	32.428	32.428	NUM
ap-5173	744	9	)	)	PUNCT
ap-5173	745	1	bf10	bf10	NOUN
ap-5173	745	2	c(x1	c(x1	NOUN
ap-5173	745	3	|	|	ADV
ap-5173	745	4	-1	-1	NOUN
ap-5173	745	5	,	,	PUNCT
ap-5173	745	6	5.866	5.866	NUM
ap-5173	745	7	,	,	PUNCT
ap-5173	745	8	11.732	11.732	NUM
ap-5173	745	9	,	,	PUNCT
ap-5173	745	10	17.503	17.503	NUM
ap-5173	745	11	)	)	PUNCT
ap-5173	745	12	×	×	NOUN
ap-5173	745	13	c(x2	c(x2	NOUN
ap-5173	745	14	|	|	CCONJ
ap-5173	745	15	+1	+1	PROPN
ap-5173	745	16	,	,	PUNCT
ap-5173	745	17	0.239	0.239	NUM
ap-5173	745	18	,	,	PUNCT
ap-5173	745	19	0.478	0.478	NUM
ap-5173	745	20	,	,	PUNCT
ap-5173	745	21	2.505	2.505	NUM
ap-5173	745	22	)	)	PUNCT
ap-5173	745	23	bf2	bf2	NOUN
ap-5173	745	24	c(x1	c(x1	NOUN
ap-5173	745	25	|	|	PROPN
ap-5173	745	26	+1	+1	PROPN
ap-5173	745	27	,	,	PUNCT
ap-5173	745	28	5.866	5.866	NUM
ap-5173	745	29	,	,	PUNCT
ap-5173	745	30	11.732	11.732	NUM
ap-5173	745	31	,	,	PUNCT
ap-5173	745	32	17.503	17.503	NUM
ap-5173	745	33	)	)	PUNCT
ap-5173	745	34	×	×	NOUN
ap-5173	745	35	c(x3	c(x3	NOUN
ap-5173	745	36	|	|	ADV
ap-5173	745	37	-1	-1	ADP
ap-5173	745	38	,	,	PUNCT
ap-5173	745	39	8.357	8.357	NUM
ap-5173	745	40	,	,	PUNCT
ap-5173	745	41	16.442	16.442	NUM
ap-5173	745	42	,	,	PUNCT
ap-5173	745	43	32.428	32.428	NUM
ap-5173	745	44	)	)	PUNCT
ap-5173	745	45	bf11	bf11	PROPN
ap-5173	745	46	c(x1	c(x1	NOUN
ap-5173	745	47	|	|	ADV
ap-5173	745	48	-1	-1	NOUN
ap-5173	745	49	,	,	PUNCT
ap-5173	745	50	5.866	5.866	NUM
ap-5173	745	51	,	,	PUNCT
ap-5173	745	52	11.732	11.732	NUM
ap-5173	745	53	,	,	PUNCT
ap-5173	745	54	17.503	17.503	NUM
ap-5173	745	55	)	)	PUNCT
ap-5173	745	56	×	×	NOUN
ap-5173	745	57	c(x2	c(x2	NOUN
ap-5173	745	58	|	|	CCONJ
ap-5173	745	59	-1	-1	NOUN
ap-5173	745	60	,	,	PUNCT
ap-5173	745	61	0.239	0.239	NUM
ap-5173	745	62	,	,	PUNCT
ap-5173	745	63	0.478	0.478	NUM
ap-5173	745	64	,	,	PUNCT
ap-5173	745	65	2.505	2.505	NUM
ap-5173	745	66	)	)	PUNCT
ap-5173	745	67	bf3	bf3	NOUN
ap-5173	745	68	c(x2	c(x2	NOUN
ap-5173	745	69	|	|	CCONJ
ap-5173	745	70	+1	+1	PROPN
ap-5173	745	71	,	,	PUNCT
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ap-5173	745	75	,	,	PUNCT
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ap-5173	745	77	)	)	PUNCT
ap-5173	746	1	bf12	bf12	PROPN
ap-5173	746	2	c(x1	c(x1	NOUN
ap-5173	746	3	|	|	ADV
ap-5173	746	4	+1	+1	PROPN
ap-5173	746	5	,	,	PUNCT
ap-5173	746	6	17.503	17.503	NUM
ap-5173	746	7	,	,	PUNCT
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ap-5173	746	9	,	,	PUNCT
ap-5173	746	10	31.139	31.139	NUM
ap-5173	746	11	)	)	PUNCT
ap-5173	746	12	×	×	NOUN
ap-5173	746	13	c(x2	c(x2	NOUN
ap-5173	746	14	|	|	CCONJ
ap-5173	746	15	+1	+1	PROPN
ap-5173	746	16	,	,	PUNCT
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ap-5173	746	20	,	,	PUNCT
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ap-5173	746	22	)	)	PUNCT
ap-5173	746	23	bf4	bf4	NOUN
ap-5173	746	24	c(x2	c(x2	NOUN
ap-5173	746	25	|	|	ADV
ap-5173	746	26	-1	-1	NOUN
ap-5173	746	27	,	,	PUNCT
ap-5173	746	28	7.763	7.763	NUM
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ap-5173	746	32	25.869	25.869	NUM
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ap-5173	747	1	bf13	bf13	PROPN
ap-5173	747	2	c(x1	c(x1	NOUN
ap-5173	747	3	|	|	ADV
ap-5173	747	4	+1	+1	PROPN
ap-5173	747	5	,	,	PUNCT
ap-5173	747	6	17.503	17.503	NUM
ap-5173	747	7	,	,	PUNCT
ap-5173	747	8	23.274	23.274	NUM
ap-5173	747	9	,	,	PUNCT
ap-5173	747	10	31.139	31.139	NUM
ap-5173	747	11	)	)	PUNCT
ap-5173	747	12	×	×	NOUN
ap-5173	747	13	c(x2	c(x2	NOUN
ap-5173	747	14	|	|	CCONJ
ap-5173	747	15	-1	-1	NOUN
ap-5173	747	16	,	,	PUNCT
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ap-5173	747	18	,	,	PUNCT
ap-5173	747	19	4.532	4.532	NUM
ap-5173	747	20	,	,	PUNCT
ap-5173	747	21	5.114	5.114	NUM
ap-5173	747	22	)	)	PUNCT
ap-5173	747	23	bf5	bf5	NOUN
ap-5173	747	24	bf4	bf4	NOUN
ap-5173	747	25	×	×	NOUN
ap-5173	747	26	c(x3	c(x3	NOUN
ap-5173	748	1	|	|	ADV
ap-5173	748	2	+1	+1	PROPN
ap-5173	748	3	,	,	PUNCT
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ap-5173	748	5	,	,	PUNCT
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ap-5173	748	7	,	,	PUNCT
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ap-5173	748	9	)	)	PUNCT
ap-5173	749	1	bf14	bf14	PROPN
ap-5173	749	2	bf11	bf11	PROPN
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ap-5173	749	5	|	|	ADV
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ap-5173	749	7	,	,	PUNCT
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ap-5173	749	13	)	)	PUNCT
ap-5173	749	14	bf6	bf6	NOUN
ap-5173	749	15	bf4	bf4	NOUN
ap-5173	749	16	×	×	NOUN
ap-5173	749	17	c(x3	c(x3	NOUN
ap-5173	749	18	|	|	ADV
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ap-5173	749	20	,	,	PUNCT
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ap-5173	749	26	)	)	PUNCT
ap-5173	750	1	bf15	bf15	PROPN
ap-5173	750	2	bf11	bf11	PROPN
ap-5173	750	3	×	×	NOUN
ap-5173	750	4	c(x3	c(x3	NOUN
ap-5173	750	5	|	|	ADV
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ap-5173	750	7	,	,	PUNCT
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ap-5173	750	9	,	,	PUNCT
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ap-5173	750	12	8.357	8.357	NUM
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ap-5173	750	15	c(x1	c(x1	NOUN
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ap-5173	750	23	17.503	17.503	NUM
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ap-5173	750	25	×	×	NOUN
ap-5173	750	26	c(x2	c(x2	NOUN
ap-5173	750	27	|	|	CCONJ
ap-5173	750	28	+1	+1	PROPN
ap-5173	750	29	,	,	PUNCT
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ap-5173	751	2	bf5	bf5	VERB
ap-5173	751	3	×	×	NOUN
ap-5173	751	4	c(x1	c(x1	NOUN
ap-5173	751	5	|	|	INTJ
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ap-5173	751	7	,	,	PUNCT
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ap-5173	751	14	bf8	bf8	ADJ
ap-5173	751	15	c(x1	c(x1	NOUN
ap-5173	751	16	|	|	X
ap-5173	751	17	+1	+1	PROPN
ap-5173	751	18	,	,	PUNCT
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ap-5173	751	21	11.732	11.732	NUM
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ap-5173	751	23	17.503	17.503	NUM
ap-5173	751	24	)	)	PUNCT
ap-5173	751	25	×	×	NOUN
ap-5173	751	26	c(x2	c(x2	NOUN
ap-5173	751	27	|	|	ADV
ap-5173	751	28	-1	-1	NOUN
ap-5173	751	29	,	,	PUNCT
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ap-5173	751	34	7.763	7.763	NUM
ap-5173	751	35	)	)	PUNCT
ap-5173	752	1	bf17	bf17	PROPN
ap-5173	752	2	bf5	bf5	NOUN
ap-5173	752	3	×	×	NOUN
ap-5173	752	4	c(x1	c(x1	NOUN
ap-5173	752	5	|	|	ADV
ap-5173	752	6	-1	-1	CCONJ
ap-5173	752	7	,	,	PUNCT
ap-5173	752	8	31.139	31.139	NUM
ap-5173	752	9	,	,	PUNCT
ap-5173	752	10	39.004	39.004	NUM
ap-5173	752	11	,	,	PUNCT
ap-5173	752	12	48.437	48.437	NUM
ap-5173	752	13	)	)	PUNCT
ap-5173	752	14	bf9	bf9	NOUN
ap-5173	752	15	c(x1	c(x1	NOUN
ap-5173	752	16	|	|	ADV
ap-5173	752	17	-1	-1	ADP
ap-5173	752	18	,	,	PUNCT
ap-5173	752	19	17.503	17.503	NUM
ap-5173	752	20	,	,	PUNCT
ap-5173	752	21	23.274	23.274	NUM
ap-5173	752	22	,	,	PUNCT
ap-5173	752	23	31.139	31.139	NUM
ap-5173	752	24	)	)	PUNCT
ap-5173	752	25	table	table	NOUN
ap-5173	752	26	6	6	NUM
ap-5173	752	27	.	.	PUNCT
ap-5173	752	28	basis	basis	NOUN
ap-5173	752	29	functions	function	NOUN
ap-5173	752	30	of	of	ADP
ap-5173	752	31	piecewise	piecewise	NOUN
ap-5173	752	32	-	-	PUNCT
ap-5173	752	33	cubic	cubic	NOUN
ap-5173	752	34	type	type	NOUN
ap-5173	752	35	of	of	ADP
ap-5173	752	36	mars	mar	NOUN
ap-5173	752	37	model	model	NOUN
ap-5173	752	38	of	of	ADP
ap-5173	752	39	syngas	syngas	NOUN
ap-5173	752	40	calorific	calorific	NOUN
ap-5173	752	41	value	value	NOUN
ap-5173	752	42	(	(	PUNCT
ap-5173	752	43	three	three	NUM
ap-5173	752	44	inputs	input	NOUN
ap-5173	752	45	)	)	PUNCT
ap-5173	752	46	.	.	PUNCT
ap-5173	753	1	temperature	temperature	NOUN
ap-5173	753	2	(	(	PUNCT
ap-5173	753	3	◦	◦	NOUN
ap-5173	753	4	c	c	NOUN
ap-5173	753	5	)	)	PUNCT
ap-5173	753	6	=	=	SYM
ap-5173	754	1	851.31	851.31	NUM
ap-5173	754	2	+3036.4×	+3036.4×	X
ap-5173	754	3	bf1	bf1	NOUN
ap-5173	755	1	+	+	CCONJ
ap-5173	755	2	11.023×	11.023×	NUM
ap-5173	755	3	bf2	bf2	NOUN
ap-5173	755	4	+21.043×	+21.043×	PROPN
ap-5173	755	5	bf3	bf3	NOUN
ap-5173	755	6	+	+	CCONJ
ap-5173	755	7	7.8072×	7.8072×	NUM
ap-5173	755	8	bf4	bf4	NOUN
ap-5173	755	9	−7.1445×	−7.1445×	VERB
ap-5173	755	10	bf5−	bf5−	VERB
ap-5173	755	11	28.58×	28.58×	NUM
ap-5173	755	12	bf6	bf6	NOUN
ap-5173	755	13	+1.264×	+1.264×	ADP
ap-5173	755	14	bf7−	bf7−	ADV
ap-5173	755	15	483.77×	483.77×	NUM
ap-5173	755	16	bf8	bf8	NOUN
ap-5173	755	17	−2.2149×	−2.2149×	PUNCT
ap-5173	755	18	bf9−	bf9−	NUM
ap-5173	756	1	6.5355×	6.5355×	NUM
ap-5173	756	2	bf10	bf10	PROPN
ap-5173	756	3	+0.25511×	+0.25511×	PROPN
ap-5173	756	4	bf11	bf11	PROPN
ap-5173	756	5	+	+	CCONJ
ap-5173	756	6	33.098×	33.098×	NUM
ap-5173	757	1	bf12	bf12	PROPN
ap-5173	757	2	+57.057×	+57.057×	PROPN
ap-5173	757	3	bf13−	bf13−	PROPN
ap-5173	757	4	1.0868×	1.0868×	NUM
ap-5173	757	5	bf14	bf14	PROPN
ap-5173	757	6	+0.2452×	+0.2452×	PROPN
ap-5173	757	7	bf15−	bf15−	PROPN
ap-5173	757	8	4.2728×	4.2728×	NUM
ap-5173	758	1	bf16	bf16	PROPN
ap-5173	758	2	−8.3842×	−8.3842×	PART
ap-5173	758	3	bf17	bf17	PROPN
ap-5173	758	4	+	+	NUM
ap-5173	758	5	0.56517×	0.56517×	NOUN
ap-5173	758	6	bf18	bf18	PROPN
ap-5173	758	7	+0.74386×	+0.74386×	PROPN
ap-5173	758	8	bf19	bf19	PROPN
ap-5173	758	9	(	(	PUNCT
ap-5173	758	10	34	34	NUM
ap-5173	758	11	)	)	PUNCT
ap-5173	758	12	calorificvalue	calorificvalue	NOUN
ap-5173	758	13	(	(	PUNCT
ap-5173	758	14	mj	mj	NOUN
ap-5173	758	15	/	/	SYM
ap-5173	758	16	nm3	nm3	NOUN
ap-5173	758	17	)	)	PUNCT
ap-5173	758	18	=	=	SYM
ap-5173	758	19	10.969	10.969	NUM
ap-5173	758	20	−0.003224×	−0.003224×	NOUN
ap-5173	758	21	bf1−	bf1−	VERB
ap-5173	758	22	0.13121×	0.13121×	NOUN
ap-5173	758	23	bf2	bf2	NOUN
ap-5173	758	24	−0.63223×	−0.63223×	NUM
ap-5173	758	25	bf3−	bf3−	ADP
ap-5173	758	26	0.51773×	0.51773×	ADJ
ap-5173	758	27	bf4	bf4	NOUN
ap-5173	759	1	+0.008499×	+0.008499×	PROPN
ap-5173	759	2	bf5−	bf5−	NOUN
ap-5173	759	3	0.0075648×	0.0075648×	NOUN
ap-5173	759	4	bf6	bf6	NOUN
ap-5173	759	5	+0.04656×	+0.04656×	PROPN
ap-5173	759	6	bf7	bf7	NOUN
ap-5173	759	7	+	+	CCONJ
ap-5173	759	8	0.050259×	0.050259×	NOUN
ap-5173	759	9	bf8	bf8	ADJ
ap-5173	759	10	+0.43584×	+0.43584×	PROPN
ap-5173	759	11	bf9−	bf9−	NUM
ap-5173	759	12	0.13449×	0.13449×	ADJ
ap-5173	760	1	bf10	bf10	PROPN
ap-5173	760	2	−1.2256×	−1.2256×	NUM
ap-5173	760	3	bf11−	bf11−	PROPN
ap-5173	760	4	0.043978×	0.043978×	PUNCT
ap-5173	761	1	bf12	bf12	PROPN
ap-5173	761	2	−0.08991×	−0.08991×	NUM
ap-5173	762	1	bf13	bf13	PROPN
ap-5173	762	2	+	+	CCONJ
ap-5173	762	3	0.22099×	0.22099×	NOUN
ap-5173	762	4	bf14	bf14	PROPN
ap-5173	762	5	+1.4463×	+1.4463×	PROPN
ap-5173	762	6	bf15	bf15	PROPN
ap-5173	762	7	+	+	CCONJ
ap-5173	762	8	0.00078717×	0.00078717×	NOUN
ap-5173	763	1	bf16	bf16	PROPN
ap-5173	763	2	+0.0011077×	+0.0011077×	PROPN
ap-5173	763	3	bf17	bf17	PROPN
ap-5173	763	4	(	(	PUNCT
ap-5173	763	5	35	35	NUM
ap-5173	763	6	)	)	PUNCT
ap-5173	763	7	the	the	DET
ap-5173	763	8	piecewise	piecewise	NOUN
ap-5173	763	9	-	-	PUNCT
ap-5173	763	10	linear	linear	NOUN
ap-5173	763	11	type	type	NOUN
ap-5173	763	12	of	of	ADP
ap-5173	763	13	mars	mar	NOUN
ap-5173	763	14	model	model	NOUN
ap-5173	763	15	for	for	ADP
ap-5173	763	16	the	the	DET
ap-5173	763	17	underground	underground	ADJ
ap-5173	763	18	temperature	temperature	NOUN
ap-5173	763	19	prediction	prediction	NOUN
ap-5173	763	20	represents	represent	VERB
ap-5173	763	21	equation	equation	NOUN
ap-5173	763	22	(	(	PUNCT
ap-5173	763	23	34	34	NUM
ap-5173	763	24	)	)	PUNCT
ap-5173	763	25	.	.	PUNCT
ap-5173	764	1	corresponding	correspond	VERB
ap-5173	764	2	basis	basis	NOUN
ap-5173	764	3	functions	function	NOUN
ap-5173	764	4	are	be	AUX
ap-5173	764	5	shown	show	VERB
ap-5173	764	6	in	in	ADP
ap-5173	764	7	table	table	NOUN
ap-5173	764	8	7	7	NUM
ap-5173	764	9	.	.	PUNCT
ap-5173	765	1	the	the	DET
ap-5173	765	2	performance	performance	NOUN
ap-5173	765	3	index	index	NOUN
ap-5173	765	4	obtained	obtain	VERB
ap-5173	765	5	during	during	ADP
ap-5173	765	6	the	the	DET
ap-5173	765	7	training	training	NOUN
ap-5173	765	8	of	of	ADP
ap-5173	765	9	the	the	DET
ap-5173	765	10	mars	mars	NOUN
ap-5173	765	11	model	model	NOUN
ap-5173	765	12	was	be	AUX
ap-5173	765	13	pi	pi	NOUN
ap-5173	765	14	=	=	NOUN
ap-5173	765	15	3.66	3.66	NUM
ap-5173	765	16	.	.	PUNCT
ap-5173	766	1	in	in	ADP
ap-5173	766	2	this	this	DET
ap-5173	766	3	case	case	NOUN
ap-5173	766	4	,	,	PUNCT
ap-5173	766	5	the	the	DET
ap-5173	766	6	coefficient	coefficient	NOUN
ap-5173	766	7	of	of	ADP
ap-5173	766	8	determination	determination	NOUN
ap-5173	766	9	was	be	AUX
ap-5173	766	10	the	the	DET
ap-5173	766	11	highest	high	ADJ
ap-5173	766	12	(	(	PUNCT
ap-5173	766	13	r2	r2	PROPN
ap-5173	766	14	yy	yy	NOUN
ap-5173	766	15	=	=	PROPN
ap-5173	766	16	0.44	0.44	NUM
ap-5173	766	17	)	)	PUNCT
ap-5173	766	18	.	.	PUNCT
ap-5173	767	1	the	the	DET
ap-5173	767	2	piecewise	piecewise	NOUN
ap-5173	767	3	-	-	PUNCT
ap-5173	767	4	linear	linear	NOUN
ap-5173	767	5	type	type	NOUN
ap-5173	767	6	of	of	ADP
ap-5173	767	7	the	the	DET
ap-5173	767	8	mars	mars	NOUN
ap-5173	767	9	model	model	NOUN
ap-5173	767	10	for	for	ADP
ap-5173	767	11	the	the	DET
ap-5173	767	12	syngas	syngas	NOUN
ap-5173	767	13	calorific	calorific	NOUN
ap-5173	767	14	value	value	NOUN
ap-5173	767	15	prediction	prediction	NOUN
ap-5173	767	16	is	be	AUX
ap-5173	767	17	represented	represent	VERB
ap-5173	767	18	by	by	ADP
ap-5173	767	19	the	the	DET
ap-5173	767	20	equation	equation	NOUN
ap-5173	767	21	(	(	PUNCT
ap-5173	767	22	35	35	NUM
ap-5173	767	23	)	)	PUNCT
ap-5173	767	24	.	.	PUNCT
ap-5173	768	1	corresponding	correspond	VERB
ap-5173	768	2	basis	basis	NOUN
ap-5173	768	3	functions	function	NOUN
ap-5173	768	4	are	be	AUX
ap-5173	768	5	shown	show	VERB
ap-5173	768	6	in	in	ADP
ap-5173	768	7	table	table	NOUN
ap-5173	768	8	8	8	NUM
ap-5173	768	9	.	.	PUNCT
ap-5173	769	1	the	the	DET
ap-5173	769	2	performance	performance	NOUN
ap-5173	769	3	index	index	NOUN
ap-5173	769	4	obtained	obtain	VERB
ap-5173	769	5	during	during	ADP
ap-5173	769	6	the	the	DET
ap-5173	769	7	training	training	NOUN
ap-5173	769	8	of	of	ADP
ap-5173	769	9	the	the	DET
ap-5173	769	10	mars	mars	NOUN
ap-5173	769	11	model	model	NOUN
ap-5173	769	12	was	be	AUX
ap-5173	769	13	pi	pi	NOUN
ap-5173	769	14	=	=	NOUN
ap-5173	769	15	8.74	8.74	NUM
ap-5173	769	16	.	.	PUNCT
ap-5173	770	1	in	in	ADP
ap-5173	770	2	this	this	DET
ap-5173	770	3	case	case	NOUN
ap-5173	770	4	,	,	PUNCT
ap-5173	770	5	the	the	DET
ap-5173	770	6	coefficient	coefficient	NOUN
ap-5173	770	7	of	of	ADP
ap-5173	770	8	determination	determination	NOUN
ap-5173	770	9	was	be	AUX
ap-5173	770	10	the	the	DET
ap-5173	770	11	highest	high	ADJ
ap-5173	770	12	(	(	PUNCT
ap-5173	770	13	r2	r2	NOUN
ap-5173	770	14	yy	yy	NOUN
ap-5173	770	15	=	=	PROPN
ap-5173	770	16	0.76	0.76	NUM
ap-5173	770	17	)	)	PUNCT
ap-5173	770	18	.	.	PUNCT
ap-5173	771	1	due	due	ADP
ap-5173	771	2	to	to	ADP
ap-5173	771	3	the	the	DET
ap-5173	771	4	comparison	comparison	NOUN
ap-5173	771	5	with	with	ADP
ap-5173	771	6	other	other	ADJ
ap-5173	771	7	methods	method	NOUN
ap-5173	771	8	,	,	PUNCT
ap-5173	771	9	this	this	DET
ap-5173	771	10	paper	paper	NOUN
ap-5173	771	11	presents	present	VERB
ap-5173	771	12	the	the	DET
ap-5173	771	13	behaviour	behaviour	NOUN
ap-5173	771	14	of	of	ADP
ap-5173	771	15	the	the	DET
ap-5173	771	16	prediction	prediction	NOUN
ap-5173	771	17	with	with	ADP
ap-5173	771	18	only	only	ADV
ap-5173	771	19	the	the	DET
ap-5173	771	20	piecewise	piecewise	NOUN
ap-5173	771	21	-	-	PUNCT
ap-5173	771	22	cubic	cubic	ADJ
ap-5173	771	23	type	type	NOUN
ap-5173	771	24	of	of	ADP
ap-5173	771	25	mars	mar	NOUN
ap-5173	771	26	models	model	NOUN
ap-5173	771	27	,	,	PUNCT
ap-5173	771	28	because	because	SCONJ
ap-5173	771	29	the	the	DET
ap-5173	771	30	best	good	ADJ
ap-5173	771	31	results	result	NOUN
ap-5173	771	32	on	on	ADP
ap-5173	771	33	untrained	untrained	ADJ
ap-5173	771	34	data	datum	NOUN
ap-5173	771	35	have	have	AUX
ap-5173	771	36	been	be	AUX
ap-5173	771	37	achieved	achieve	VERB
ap-5173	771	38	for	for	ADP
ap-5173	771	39	them	they	PRON
ap-5173	771	40	.	.	PUNCT
ap-5173	772	1	the	the	DET
ap-5173	772	2	best	good	ADJ
ap-5173	772	3	prediction	prediction	NOUN
ap-5173	772	4	of	of	ADP
ap-5173	772	5	the	the	DET
ap-5173	772	6	calorific	calorific	ADJ
ap-5173	772	7	value	value	NOUN
ap-5173	772	8	and	and	CCONJ
ap-5173	772	9	underground	underground	ADJ
ap-5173	772	10	temperature	temperature	NOUN
ap-5173	772	11	by	by	ADP
ap-5173	772	12	the	the	DET
ap-5173	772	13	piecewise	piecewise	NOUN
ap-5173	772	14	-	-	PUNCT
ap-5173	772	15	cubic	cubic	ADJ
ap-5173	772	16	type	type	NOUN
ap-5173	772	17	of	of	ADP
ap-5173	772	18	the	the	DET
ap-5173	772	19	mars	mars	NOUN
ap-5173	772	20	model	model	NOUN
ap-5173	772	21	where	where	SCONJ
ap-5173	772	22	10	10	NUM
ap-5173	772	23	%	%	NOUN
ap-5173	772	24	of	of	ADP
ap-5173	772	25	the	the	DET
ap-5173	772	26	experiment	experiment	NOUN
ap-5173	772	27	was	be	AUX
ap-5173	772	28	used	use	VERB
ap-5173	772	29	for	for	ADP
ap-5173	772	30	the	the	DET
ap-5173	772	31	test	test	NOUN
ap-5173	772	32	of	of	ADP
ap-5173	772	33	the	the	DET
ap-5173	772	34	prediction	prediction	NOUN
ap-5173	772	35	is	be	AUX
ap-5173	772	36	shown	show	VERB
ap-5173	772	37	in	in	ADP
ap-5173	772	38	figure	figure	NOUN
ap-5173	772	39	12	12	NUM
ap-5173	772	40	and	and	CCONJ
ap-5173	772	41	figure	figure	VERB
ap-5173	772	42	13	13	NUM
ap-5173	772	43	.	.	PUNCT
ap-5173	773	1	the	the	DET
ap-5173	773	2	black	black	ADJ
ap-5173	773	3	vertical	vertical	ADJ
ap-5173	773	4	line	line	NOUN
ap-5173	773	5	divides	divide	VERB
ap-5173	773	6	the	the	DET
ap-5173	773	7	prediction	prediction	NOUN
ap-5173	773	8	into	into	ADP
ap-5173	773	9	training	training	NOUN
ap-5173	773	10	and	and	CCONJ
ap-5173	773	11	testing	testing	NOUN
ap-5173	773	12	part	part	NOUN
ap-5173	773	13	.	.	PUNCT
ap-5173	774	1	it	it	PRON
ap-5173	774	2	can	can	AUX
ap-5173	774	3	be	be	AUX
ap-5173	774	4	said	say	VERB
ap-5173	774	5	that	that	SCONJ
ap-5173	774	6	better	well	ADJ
ap-5173	774	7	predictions	prediction	NOUN
ap-5173	774	8	with	with	ADP
ap-5173	774	9	the	the	DET
ap-5173	774	10	mars	mars	NOUN
ap-5173	774	11	model	model	NOUN
ap-5173	774	12	were	be	AUX
ap-5173	774	13	achieved	achieve	VERB
ap-5173	774	14	in	in	ADP
ap-5173	774	15	the	the	DET
ap-5173	774	16	case	case	NOUN
ap-5173	774	17	of	of	ADP
ap-5173	774	18	the	the	DET
ap-5173	774	19	underground	underground	ADJ
ap-5173	774	20	temperature	temperature	NOUN
ap-5173	774	21	.	.	PUNCT
ap-5173	775	1	the	the	DET
ap-5173	775	2	experimental	experimental	ADJ
ap-5173	775	3	results	result	NOUN
ap-5173	775	4	demonstrate	demonstrate	VERB
ap-5173	775	5	that	that	SCONJ
ap-5173	775	6	the	the	DET
ap-5173	775	7	piecewise	piecewise	NOUN
ap-5173	775	8	-	-	PUNCT
ap-5173	775	9	cubic	cubic	ADJ
ap-5173	775	10	type	type	NOUN
ap-5173	775	11	of	of	ADP
ap-5173	775	12	mars	mar	NOUN
ap-5173	775	13	model	model	NOUN
ap-5173	775	14	is	be	AUX
ap-5173	775	15	better	well	ADJ
ap-5173	775	16	than	than	ADP
ap-5173	775	17	the	the	DET
ap-5173	775	18	piecewise	piecewise	NOUN
ap-5173	775	19	-	-	PUNCT
ap-5173	775	20	linear	linear	NOUN
ap-5173	775	21	both	both	PRON
ap-5173	775	22	in	in	ADP
ap-5173	775	23	the	the	DET
ap-5173	775	24	temperature	temperature	NOUN
ap-5173	775	25	and	and	CCONJ
ap-5173	775	26	the	the	DET
ap-5173	775	27	calorific	calorific	ADJ
ap-5173	775	28	value	value	NOUN
ap-5173	775	29	prediction	prediction	NOUN
ap-5173	775	30	.	.	PUNCT
ap-5173	776	1	4.3	4.3	NUM
ap-5173	776	2	.	.	PUNCT
ap-5173	776	3	prediction	prediction	NOUN
ap-5173	776	4	by	by	ADP
ap-5173	776	5	the	the	DET
ap-5173	776	6	support	support	NOUN
ap-5173	776	7	vector	vector	NOUN
ap-5173	776	8	regression	regression	NOUN
ap-5173	776	9	the	the	DET
ap-5173	776	10	svr	svr	PROPN
ap-5173	776	11	model	model	NOUN
ap-5173	776	12	has	have	AUX
ap-5173	776	13	been	be	AUX
ap-5173	776	14	trained	train	VERB
ap-5173	776	15	on	on	ADP
ap-5173	776	16	the	the	DET
ap-5173	776	17	predictor	predictor	NOUN
ap-5173	776	18	data	datum	NOUN
ap-5173	776	19	similarly	similarly	ADV
ap-5173	776	20	as	as	ADP
ap-5173	776	21	in	in	ADP
ap-5173	776	22	the	the	DET
ap-5173	776	23	previous	previous	ADJ
ap-5173	776	24	method	method	NOUN
ap-5173	776	25	.	.	PUNCT
ap-5173	777	1	the	the	DET
ap-5173	777	2	predictor	predictor	NOUN
ap-5173	777	3	data	datum	NOUN
ap-5173	777	4	were	be	AUX
ap-5173	777	5	mapped	map	VERB
ap-5173	777	6	using	use	VERB
ap-5173	777	7	three	three	NUM
ap-5173	777	8	kernel	kernel	NOUN
ap-5173	777	9	functions	function	NOUN
ap-5173	777	10	,	,	PUNCT
ap-5173	777	11	and	and	CCONJ
ap-5173	777	12	the	the	DET
ap-5173	777	13	smo	smo	PROPN
ap-5173	777	14	method	method	NOUN
ap-5173	777	15	for	for	ADP
ap-5173	777	16	the	the	DET
ap-5173	777	17	objective	objective	ADJ
ap-5173	777	18	-	-	PUNCT
ap-5173	777	19	function	function	NOUN
ap-5173	777	20	minimization	minimization	NOUN
ap-5173	777	21	was	be	AUX
ap-5173	777	22	used	use	VERB
ap-5173	777	23	.	.	PUNCT
ap-5173	778	1	the	the	DET
ap-5173	778	2	training	training	NOUN
ap-5173	778	3	data	data	NOUN
ap-5173	778	4	table	table	NOUN
ap-5173	778	5	was	be	AUX
ap-5173	778	6	used	use	VERB
ap-5173	778	7	where	where	SCONJ
ap-5173	778	8	one	one	NUM
ap-5173	778	9	row	row	NOUN
ap-5173	778	10	of	of	ADP
ap-5173	778	11	the	the	DET
ap-5173	778	12	table	table	NOUN
ap-5173	778	13	represented	represent	VERB
ap-5173	778	14	one	one	NUM
ap-5173	778	15	observation	observation	NOUN
ap-5173	778	16	and	and	CCONJ
ap-5173	778	17	individual	individual	ADJ
ap-5173	778	18	columns	column	NOUN
ap-5173	778	19	were	be	AUX
ap-5173	778	20	predictors	predictor	NOUN
ap-5173	778	21	x.	x.	PUNCT
ap-5173	779	1	the	the	DET
ap-5173	779	2	table	table	NOUN
ap-5173	779	3	contains	contain	VERB
ap-5173	779	4	one	one	NUM
ap-5173	779	5	additional	additional	ADJ
ap-5173	779	6	column	column	NOUN
ap-5173	779	7	for	for	ADP
ap-5173	779	8	the	the	DET
ap-5173	779	9	response	response	NOUN
ap-5173	779	10	variable	variable	ADJ
ap-5173	779	11	y.	y.	PROPN
ap-5173	779	12	the	the	DET
ap-5173	779	13	standardized	standardized	ADJ
ap-5173	779	14	predictor	predictor	NOUN
ap-5173	779	15	matrix	matrix	NOUN
ap-5173	779	16	has	have	AUX
ap-5173	779	17	been	be	AUX
ap-5173	779	18	used	use	VERB
ap-5173	779	19	for	for	ADP
ap-5173	779	20	the	the	DET
ap-5173	779	21	training	training	NOUN
ap-5173	779	22	.	.	PUNCT
ap-5173	780	1	the	the	DET
ap-5173	780	2	standardization	standardization	NOUN
ap-5173	780	3	was	be	AUX
ap-5173	780	4	performed	perform	VERB
ap-5173	780	5	using	use	VERB
ap-5173	780	6	corresponding	correspond	VERB
ap-5173	780	7	weighted	weight	VERB
ap-5173	780	8	means	mean	NOUN
ap-5173	780	9	of	of	ADP
ap-5173	780	10	predictors	predictor	NOUN
ap-5173	780	11	and	and	CCONJ
ap-5173	780	12	weighted	weight	VERB
ap-5173	780	13	standard	standard	ADJ
ap-5173	780	14	deviations	deviation	NOUN
ap-5173	780	15	.	.	PUNCT
ap-5173	781	1	predictors	predictor	NOUN
ap-5173	781	2	342	342	NUM
ap-5173	781	3	vol	vol	NOUN
ap-5173	781	4	.	.	PUNCT
ap-5173	782	1	59	59	NUM
ap-5173	782	2	no	no	NOUN
ap-5173	782	3	.	.	PUNCT
ap-5173	783	1	4/2019	4/2019	NUM
ap-5173	783	2	a	a	DET
ap-5173	783	3	comparative	comparative	ADJ
ap-5173	783	4	study	study	NOUN
ap-5173	783	5	of	of	ADP
ap-5173	783	6	data	data	NOUN
ap-5173	783	7	-	-	PUNCT
ap-5173	783	8	driven	drive	VERB
ap-5173	783	9	modeling	modeling	NOUN
ap-5173	783	10	methods	method	NOUN
ap-5173	783	11	.	.	PUNCT
ap-5173	783	12	.	.	PUNCT
ap-5173	783	13	.	.	PUNCT
ap-5173	784	1	bf	bf	NOUN
ap-5173	784	2	equation	equation	NOUN
ap-5173	784	3	bf	bf	NOUN
ap-5173	784	4	equation	equation	NOUN
ap-5173	784	5	bf1	bf1	PROPN
ap-5173	784	6	max(0	max(0	PROPN
ap-5173	784	7	,	,	PUNCT
ap-5173	784	8	x4	x4	PROPN
ap-5173	784	9	-20.579	-20.579	PROPN
ap-5173	784	10	)	)	PUNCT
ap-5173	785	1	bf11	bf11	PROPN
ap-5173	785	2	max(0	max(0	NOUN
ap-5173	785	3	,	,	PUNCT
ap-5173	785	4	x1	x1	PROPN
ap-5173	785	5	-6.3881	-6.3881	NOUN
ap-5173	785	6	)	)	PUNCT
ap-5173	785	7	×	×	NOUN
ap-5173	785	8	max(0,26.51	max(0,26.51	ADJ
ap-5173	785	9	-x2	-x2	NOUN
ap-5173	785	10	)	)	PUNCT
ap-5173	785	11	bf2	bf2	NOUN
ap-5173	785	12	max(0,20.579	max(0,20.579	PROPN
ap-5173	785	13	-x4	-x4	PROPN
ap-5173	785	14	)	)	PUNCT
ap-5173	786	1	bf12	bf12	PROPN
ap-5173	786	2	bf8	bf8	ADJ
ap-5173	786	3	×	×	NOUN
ap-5173	786	4	max(0	max(0	NOUN
ap-5173	786	5	,	,	PUNCT
ap-5173	786	6	x1	x1	PROPN
ap-5173	786	7	-9.6658	-9.6658	NUM
ap-5173	786	8	)	)	PUNCT
ap-5173	786	9	bf3	bf3	NOUN
ap-5173	786	10	max(0	max(0	NOUN
ap-5173	786	11	,	,	PUNCT
ap-5173	786	12	x2	x2	PROPN
ap-5173	786	13	-11.636	-11.636	PUNCT
ap-5173	786	14	)	)	PUNCT
ap-5173	787	1	bf13	bf13	PROPN
ap-5173	787	2	bf8	bf8	ADJ
ap-5173	787	3	×	×	NOUN
ap-5173	787	4	max(0,9.6658	max(0,9.6658	NOUN
ap-5173	787	5	-x1	-x1	NOUN
ap-5173	787	6	)	)	PUNCT
ap-5173	787	7	bf4	bf4	NOUN
ap-5173	787	8	max(0,11.636	max(0,11.636	PROPN
ap-5173	787	9	-x2	-x2	NOUN
ap-5173	787	10	)	)	PUNCT
ap-5173	787	11	bf14	bf14	PROPN
ap-5173	787	12	bf9	bf9	NOUN
ap-5173	787	13	×	×	NOUN
ap-5173	787	14	max(0	max(0	NOUN
ap-5173	787	15	,	,	PUNCT
ap-5173	787	16	x1	x1	PROPN
ap-5173	787	17	-8.9131	-8.9131	X
ap-5173	787	18	)	)	PUNCT
ap-5173	787	19	bf5	bf5	PROPN
ap-5173	787	20	max(0,6.3881	max(0,6.3881	NOUN
ap-5173	787	21	-x1	-x1	NOUN
ap-5173	787	22	)	)	PUNCT
ap-5173	787	23	bf15	bf15	PROPN
ap-5173	787	24	bf9	bf9	NOUN
ap-5173	787	25	×	×	NOUN
ap-5173	787	26	max(0,8.9131	max(0,8.9131	PROPN
ap-5173	787	27	-x1	-x1	NOUN
ap-5173	787	28	)	)	PUNCT
ap-5173	787	29	bf6	bf6	NOUN
ap-5173	787	30	max(0	max(0	NOUN
ap-5173	787	31	,	,	PUNCT
ap-5173	787	32	x3	x3	PROPN
ap-5173	787	33	-26.344	-26.344	PROPN
ap-5173	787	34	)	)	PUNCT
ap-5173	788	1	bf16	bf16	NOUN
ap-5173	788	2	bf5	bf5	VERB
ap-5173	788	3	×	×	NOUN
ap-5173	788	4	max(0	max(0	NOUN
ap-5173	788	5	,	,	PUNCT
ap-5173	788	6	x3	x3	PROPN
ap-5173	788	7	-5.1498	-5.1498	NOUN
ap-5173	788	8	)	)	PUNCT
ap-5173	789	1	bf7	bf7	CCONJ
ap-5173	789	2	max(0,26.344	max(0,26.344	PROPN
ap-5173	789	3	-x3	-x3	NOUN
ap-5173	789	4	)	)	PUNCT
ap-5173	790	1	bf17	bf17	PROPN
ap-5173	790	2	bf5	bf5	NOUN
ap-5173	790	3	×	×	NOUN
ap-5173	790	4	max(0,5.1498	max(0,5.1498	PROPN
ap-5173	790	5	-x3	-x3	NOUN
ap-5173	790	6	)	)	PUNCT
ap-5173	790	7	bf8	bf8	ADJ
ap-5173	790	8	bf3	bf3	NOUN
ap-5173	790	9	×	×	NOUN
ap-5173	790	10	max(0	max(0	NOUN
ap-5173	790	11	,	,	PUNCT
ap-5173	790	12	x4	x4	PROPN
ap-5173	790	13	-20.563	-20.563	PROPN
ap-5173	790	14	)	)	PUNCT
ap-5173	791	1	bf18	bf18	PROPN
ap-5173	791	2	bf14	bf14	PROPN
ap-5173	791	3	×	×	NOUN
ap-5173	791	4	max(0	max(0	NOUN
ap-5173	791	5	,	,	PUNCT
ap-5173	791	6	x5	x5	PROPN
ap-5173	791	7	-3.9609	-3.9609	NOUN
ap-5173	791	8	)	)	PUNCT
ap-5173	791	9	bf9	bf9	NOUN
ap-5173	791	10	bf3	bf3	NOUN
ap-5173	791	11	×	×	NOUN
ap-5173	791	12	max(0,20.563	max(0,20.563	PROPN
ap-5173	791	13	-x4	-x4	PROPN
ap-5173	791	14	)	)	PUNCT
ap-5173	792	1	bf19	bf19	PROPN
ap-5173	792	2	bf14	bf14	PROPN
ap-5173	792	3	×	×	NOUN
ap-5173	792	4	max(0,3.9609	max(0,3.9609	NOUN
ap-5173	792	5	-x5	-x5	NOUN
ap-5173	792	6	)	)	PUNCT
ap-5173	793	1	bf10	bf10	NOUN
ap-5173	793	2	max(0	max(0	NOUN
ap-5173	793	3	,	,	PUNCT
ap-5173	793	4	x1	x1	PROPN
ap-5173	793	5	-6.3881	-6.3881	NOUN
ap-5173	793	6	)	)	PUNCT
ap-5173	793	7	×	×	NOUN
ap-5173	793	8	max(0	max(0	NOUN
ap-5173	793	9	,	,	PUNCT
ap-5173	793	10	x2	x2	PROPN
ap-5173	793	11	-26.51	-26.51	PROPN
ap-5173	793	12	)	)	PUNCT
ap-5173	793	13	table	table	NOUN
ap-5173	793	14	7	7	NUM
ap-5173	793	15	.	.	PUNCT
ap-5173	793	16	basis	basis	NOUN
ap-5173	793	17	functions	function	NOUN
ap-5173	793	18	of	of	ADP
ap-5173	793	19	the	the	DET
ap-5173	793	20	piecewise	piecewise	NOUN
ap-5173	793	21	-	-	PUNCT
ap-5173	793	22	linear	linear	NOUN
ap-5173	793	23	type	type	NOUN
ap-5173	793	24	of	of	ADP
ap-5173	793	25	mars	mar	NOUN
ap-5173	793	26	model	model	NOUN
ap-5173	793	27	of	of	ADP
ap-5173	793	28	underground	underground	ADJ
ap-5173	793	29	temperature	temperature	NOUN
ap-5173	793	30	(	(	PUNCT
ap-5173	793	31	five	five	NUM
ap-5173	793	32	inputs	input	NOUN
ap-5173	793	33	)	)	PUNCT
ap-5173	793	34	.	.	PUNCT
ap-5173	794	1	bf	bf	NOUN
ap-5173	794	2	equation	equation	NOUN
ap-5173	794	3	bf	bf	NOUN
ap-5173	794	4	equation	equation	NOUN
ap-5173	794	5	bf1	bf1	PROPN
ap-5173	794	6	max(0	max(0	PROPN
ap-5173	794	7	,	,	PUNCT
ap-5173	794	8	x1	x1	PROPN
ap-5173	794	9	-11.732	-11.732	ADJ
ap-5173	794	10	)	)	PUNCT
ap-5173	794	11	×	×	NOUN
ap-5173	794	12	max(0	max(0	NOUN
ap-5173	794	13	,	,	PUNCT
ap-5173	794	14	x3	x3	ADJ
ap-5173	794	15	-16.442	-16.442	ADJ
ap-5173	794	16	)	)	PUNCT
ap-5173	795	1	bf10	bf10	PROPN
ap-5173	795	2	max(0,11.732	max(0,11.732	PROPN
ap-5173	795	3	-x1	-x1	NOUN
ap-5173	795	4	)	)	PUNCT
ap-5173	795	5	×	×	NOUN
ap-5173	795	6	max(0	max(0	NOUN
ap-5173	795	7	,	,	PUNCT
ap-5173	795	8	x2	x2	PROPN
ap-5173	795	9	-0.478	-0.478	NOUN
ap-5173	795	10	)	)	PUNCT
ap-5173	795	11	bf2	bf2	NOUN
ap-5173	795	12	max(0	max(0	NOUN
ap-5173	795	13	,	,	PUNCT
ap-5173	795	14	x1	x1	PROPN
ap-5173	795	15	-11.732	-11.732	PUNCT
ap-5173	795	16	)	)	PUNCT
ap-5173	795	17	×	×	PROPN
ap-5173	795	18	max(0,16.442	max(0,16.442	PROPN
ap-5173	795	19	-x3	-x3	NOUN
ap-5173	795	20	)	)	PUNCT
ap-5173	796	1	bf11	bf11	PROPN
ap-5173	796	2	max(0,11.732	max(0,11.732	PROPN
ap-5173	796	3	-x1	-x1	NOUN
ap-5173	796	4	)	)	PUNCT
ap-5173	796	5	×	×	NOUN
ap-5173	796	6	max(0,0.478	max(0,0.478	NOUN
ap-5173	796	7	-x2	-x2	PROPN
ap-5173	796	8	)	)	PUNCT
ap-5173	796	9	bf3	bf3	NOUN
ap-5173	796	10	max(0	max(0	NOUN
ap-5173	796	11	,	,	PUNCT
ap-5173	796	12	x2	x2	PROPN
ap-5173	796	13	-9.83	-9.83	PRON
ap-5173	796	14	)	)	PUNCT
ap-5173	797	1	bf12	bf12	PROPN
ap-5173	797	2	max(0	max(0	NOUN
ap-5173	797	3	,	,	PUNCT
ap-5173	797	4	x1	x1	PROPN
ap-5173	797	5	-23.274	-23.274	NOUN
ap-5173	797	6	)	)	PUNCT
ap-5173	797	7	×	×	NOUN
ap-5173	797	8	max(0	max(0	NOUN
ap-5173	797	9	,	,	PUNCT
ap-5173	797	10	x2	x2	PROPN
ap-5173	797	11	-4.532	-4.532	PUNCT
ap-5173	797	12	)	)	PUNCT
ap-5173	797	13	bf4	bf4	NOUN
ap-5173	798	1	max(0,9.83	max(0,9.83	ADV
ap-5173	798	2	-x2	-x2	NOUN
ap-5173	798	3	)	)	PUNCT
ap-5173	798	4	bf13	bf13	PROPN
ap-5173	798	5	max(0	max(0	NOUN
ap-5173	798	6	,	,	PUNCT
ap-5173	798	7	x1	x1	PROPN
ap-5173	798	8	-23.274	-23.274	NOUN
ap-5173	798	9	)	)	PUNCT
ap-5173	798	10	×	×	NOUN
ap-5173	798	11	max(0,4.532	max(0,4.532	NOUN
ap-5173	798	12	-x2	-x2	NOUN
ap-5173	798	13	)	)	PUNCT
ap-5173	798	14	bf5	bf5	NOUN
ap-5173	798	15	bf4	bf4	NOUN
ap-5173	798	16	×	×	NOUN
ap-5173	798	17	max(0	max(0	NOUN
ap-5173	798	18	,	,	PUNCT
ap-5173	798	19	x3	x3	PROPN
ap-5173	798	20	-48.414	-48.414	NOUN
ap-5173	798	21	)	)	PUNCT
ap-5173	799	1	bf14	bf14	PROPN
ap-5173	799	2	bf11	bf11	PROPN
ap-5173	799	3	×	×	NOUN
ap-5173	799	4	max(0	max(0	NOUN
ap-5173	799	5	,	,	PUNCT
ap-5173	800	1	x3	x3	PROPN
ap-5173	800	2	-0.272	-0.272	NOUN
ap-5173	800	3	)	)	PUNCT
ap-5173	801	1	bf6	bf6	NOUN
ap-5173	801	2	bf4	bf4	PROPN
ap-5173	801	3	×	×	PROPN
ap-5173	801	4	max(0,48.414	max(0,48.414	PROPN
ap-5173	801	5	-x3	-x3	NOUN
ap-5173	801	6	)	)	PUNCT
ap-5173	802	1	bf15	bf15	PROPN
ap-5173	802	2	bf11	bf11	PROPN
ap-5173	802	3	×	×	PROPN
ap-5173	802	4	max(0,0.272	max(0,0.272	NOUN
ap-5173	802	5	-x3	-x3	NOUN
ap-5173	802	6	)	)	PUNCT
ap-5173	802	7	bf7	bf7	NOUN
ap-5173	802	8	max(0	max(0	NOUN
ap-5173	802	9	,	,	PUNCT
ap-5173	802	10	x1	x1	PROPN
ap-5173	802	11	-11.732	-11.732	ADJ
ap-5173	802	12	)	)	PUNCT
ap-5173	802	13	×	×	NOUN
ap-5173	802	14	max(0	max(0	NOUN
ap-5173	802	15	,	,	PUNCT
ap-5173	802	16	x2	x2	PROPN
ap-5173	802	17	-5.696	-5.696	PUNCT
ap-5173	802	18	)	)	PUNCT
ap-5173	803	1	bf16	bf16	NOUN
ap-5173	803	2	bf5	bf5	NOUN
ap-5173	803	3	×	×	NOUN
ap-5173	803	4	max(0	max(0	NOUN
ap-5173	803	5	,	,	PUNCT
ap-5173	803	6	x1	x1	PROPN
ap-5173	803	7	-39.004	-39.004	NOUN
ap-5173	803	8	)	)	PUNCT
ap-5173	803	9	bf8	bf8	ADJ
ap-5173	803	10	max(0	max(0	NOUN
ap-5173	803	11	,	,	PUNCT
ap-5173	803	12	x1	x1	PROPN
ap-5173	803	13	-11.732	-11.732	ADJ
ap-5173	803	14	)	)	PUNCT
ap-5173	803	15	×	×	NOUN
ap-5173	803	16	max(0,5.696	max(0,5.696	NOUN
ap-5173	803	17	-x2	-x2	NOUN
ap-5173	803	18	)	)	PUNCT
ap-5173	804	1	bf17	bf17	PROPN
ap-5173	804	2	bf5	bf5	NOUN
ap-5173	804	3	×	×	NOUN
ap-5173	804	4	max(0,39.004	max(0,39.004	PROPN
ap-5173	804	5	-x1	-x1	NOUN
ap-5173	804	6	)	)	PUNCT
ap-5173	804	7	bf9	bf9	NOUN
ap-5173	804	8	max(0	max(0	NOUN
ap-5173	804	9	,	,	PUNCT
ap-5173	804	10	23.274	23.274	NUM
ap-5173	804	11	-x1	-x1	NOUN
ap-5173	804	12	)	)	PUNCT
ap-5173	804	13	table	table	NOUN
ap-5173	804	14	8	8	NUM
ap-5173	804	15	.	.	PUNCT
ap-5173	804	16	basis	basis	NOUN
ap-5173	804	17	functions	function	NOUN
ap-5173	804	18	of	of	ADP
ap-5173	804	19	the	the	DET
ap-5173	804	20	piecewise	piecewise	NOUN
ap-5173	804	21	-	-	PUNCT
ap-5173	804	22	linear	linear	NOUN
ap-5173	804	23	type	type	NOUN
ap-5173	804	24	of	of	ADP
ap-5173	804	25	mars	mar	NOUN
ap-5173	804	26	model	model	NOUN
ap-5173	804	27	of	of	ADP
ap-5173	804	28	syngas	syngas	NOUN
ap-5173	804	29	calorific	calorific	NOUN
ap-5173	804	30	value	value	NOUN
ap-5173	804	31	(	(	PUNCT
ap-5173	804	32	three	three	NUM
ap-5173	804	33	inputs	input	NOUN
ap-5173	804	34	)	)	PUNCT
ap-5173	804	35	.	.	PUNCT
ap-5173	805	1	figure	figure	NOUN
ap-5173	805	2	12	12	NUM
ap-5173	805	3	.	.	PUNCT
ap-5173	806	1	measured	measure	VERB
ap-5173	806	2	and	and	CCONJ
ap-5173	806	3	predicted	predict	VERB
ap-5173	806	4	calorific	calorific	ADJ
ap-5173	806	5	value	value	NOUN
ap-5173	806	6	of	of	ADP
ap-5173	806	7	syngas	syngas	NOUN
ap-5173	806	8	by	by	ADP
ap-5173	806	9	piecewise	piecewise	NOUN
ap-5173	806	10	-	-	PUNCT
ap-5173	806	11	cubic	cubic	ADJ
ap-5173	806	12	type	type	NOUN
ap-5173	806	13	of	of	ADP
ap-5173	806	14	mars	mar	NOUN
ap-5173	806	15	model	model	NOUN
ap-5173	806	16	where	where	SCONJ
ap-5173	806	17	10	10	NUM
ap-5173	806	18	%	%	NOUN
ap-5173	806	19	of	of	ADP
ap-5173	806	20	the	the	DET
ap-5173	806	21	experiment	experiment	NOUN
ap-5173	806	22	and	and	CCONJ
ap-5173	806	23	three	three	NUM
ap-5173	806	24	inputs	input	NOUN
ap-5173	806	25	were	be	AUX
ap-5173	806	26	used	use	VERB
ap-5173	806	27	for	for	ADP
ap-5173	806	28	the	the	DET
ap-5173	806	29	test	test	NOUN
ap-5173	806	30	.	.	PUNCT
ap-5173	807	1	343	343	NUM
ap-5173	807	2	j.	j.	PROPN
ap-5173	807	3	kačur	kačur	PROPN
ap-5173	807	4	,	,	PUNCT
ap-5173	807	5	m.	m.	PROPN
ap-5173	807	6	durdán	durdán	PROPN
ap-5173	807	7	,	,	PUNCT
ap-5173	807	8	m.	m.	NOUN
ap-5173	807	9	laciak	laciak	NOUN
ap-5173	807	10	,	,	PUNCT
ap-5173	807	11	p.	p.	PROPN
ap-5173	807	12	flegner	flegner	PROPN
ap-5173	807	13	acta	acta	PROPN
ap-5173	807	14	polytechnica	polytechnica	PROPN
ap-5173	807	15	figure	figure	NOUN
ap-5173	807	16	13	13	NUM
ap-5173	807	17	.	.	PUNCT
ap-5173	807	18	measured	measure	VERB
ap-5173	807	19	and	and	CCONJ
ap-5173	807	20	predicted	predict	VERB
ap-5173	807	21	underground	underground	ADJ
ap-5173	807	22	temperature	temperature	NOUN
ap-5173	807	23	by	by	ADP
ap-5173	807	24	piecewise	piecewise	NOUN
ap-5173	807	25	-	-	PUNCT
ap-5173	807	26	cubic	cubic	ADJ
ap-5173	807	27	type	type	NOUN
ap-5173	807	28	of	of	ADP
ap-5173	807	29	mars	mar	NOUN
ap-5173	807	30	model	model	NOUN
ap-5173	807	31	where	where	SCONJ
ap-5173	807	32	10	10	NUM
ap-5173	807	33	%	%	NOUN
ap-5173	807	34	of	of	ADP
ap-5173	807	35	the	the	DET
ap-5173	807	36	experiment	experiment	NOUN
ap-5173	807	37	and	and	CCONJ
ap-5173	807	38	five	five	NUM
ap-5173	807	39	inputs	input	NOUN
ap-5173	807	40	were	be	AUX
ap-5173	807	41	used	use	VERB
ap-5173	807	42	for	for	ADP
ap-5173	807	43	the	the	DET
ap-5173	807	44	test	test	NOUN
ap-5173	807	45	.	.	PUNCT
ap-5173	807	46	are	be	AUX
ap-5173	807	47	less	less	ADV
ap-5173	807	48	sensitive	sensitive	ADJ
ap-5173	807	49	to	to	ADP
ap-5173	807	50	the	the	DET
ap-5173	807	51	scale	scale	NOUN
ap-5173	807	52	on	on	ADP
ap-5173	807	53	which	which	PRON
ap-5173	807	54	they	they	PRON
ap-5173	807	55	are	be	AUX
ap-5173	807	56	measured	measure	VERB
ap-5173	807	57	on	on	ADP
ap-5173	807	58	when	when	SCONJ
ap-5173	807	59	standardization	standardization	NOUN
ap-5173	807	60	is	be	AUX
ap-5173	807	61	used	use	VERB
ap-5173	807	62	.	.	PUNCT
ap-5173	808	1	similarly	similarly	ADV
ap-5173	808	2	,	,	PUNCT
ap-5173	808	3	a	a	DET
ap-5173	808	4	table	table	NOUN
ap-5173	808	5	for	for	ADP
ap-5173	808	6	the	the	DET
ap-5173	808	7	test	test	NOUN
ap-5173	808	8	of	of	ADP
ap-5173	808	9	the	the	DET
ap-5173	808	10	model	model	NOUN
ap-5173	808	11	on	on	ADP
ap-5173	808	12	untrained	untrained	ADJ
ap-5173	808	13	data	datum	NOUN
ap-5173	808	14	was	be	AUX
ap-5173	808	15	prepared	prepare	VERB
ap-5173	808	16	.	.	PUNCT
ap-5173	809	1	as	as	ADP
ap-5173	809	2	kernel	kernel	PROPN
ap-5173	809	3	functions	function	NOUN
ap-5173	809	4	,	,	PUNCT
ap-5173	809	5	the	the	DET
ap-5173	809	6	linear	linear	ADJ
ap-5173	809	7	,	,	PUNCT
ap-5173	809	8	gaussian	gaussian	ADJ
ap-5173	809	9	and	and	CCONJ
ap-5173	809	10	polynomial	polynomial	ADJ
ap-5173	809	11	kernels	kernel	NOUN
ap-5173	809	12	were	be	AUX
ap-5173	809	13	used	use	VERB
ap-5173	809	14	(	(	PUNCT
ap-5173	809	15	see	see	VERB
ap-5173	809	16	table	table	NOUN
ap-5173	809	17	1	1	NUM
ap-5173	809	18	)	)	PUNCT
ap-5173	809	19	.	.	PUNCT
ap-5173	810	1	the	the	DET
ap-5173	810	2	final	final	ADJ
ap-5173	810	3	values	value	NOUN
ap-5173	810	4	of	of	ADP
ap-5173	810	5	α	α	PROPN
ap-5173	810	6	were	be	AUX
ap-5173	810	7	stored	store	VERB
ap-5173	810	8	in	in	ADP
ap-5173	810	9	the	the	DET
ap-5173	810	10	memory	memory	NOUN
ap-5173	810	11	of	of	ADP
ap-5173	810	12	the	the	DET
ap-5173	810	13	computer	computer	NOUN
ap-5173	810	14	.	.	PUNCT
ap-5173	811	1	table	table	NOUN
ap-5173	811	2	9	9	NUM
ap-5173	811	3	shows	show	VERB
ap-5173	811	4	the	the	DET
ap-5173	811	5	results	result	NOUN
ap-5173	811	6	of	of	ADP
ap-5173	811	7	applying	apply	VERB
ap-5173	811	8	a	a	DET
ap-5173	811	9	various	various	ADJ
ap-5173	811	10	types	type	NOUN
ap-5173	811	11	of	of	ADP
ap-5173	811	12	the	the	DET
ap-5173	811	13	kernel	kernel	PROPN
ap-5173	811	14	function	function	NOUN
ap-5173	811	15	in	in	ADP
ap-5173	811	16	the	the	DET
ap-5173	811	17	svr	svr	PROPN
ap-5173	811	18	where	where	SCONJ
ap-5173	811	19	10	10	NUM
ap-5173	811	20	%	%	NOUN
ap-5173	811	21	of	of	ADP
ap-5173	811	22	the	the	DET
ap-5173	811	23	ucg	ucg	PROPN
ap-5173	811	24	experiment	experiment	NOUN
ap-5173	811	25	was	be	AUX
ap-5173	811	26	used	use	VERB
ap-5173	811	27	for	for	ADP
ap-5173	811	28	the	the	DET
ap-5173	811	29	test	test	NOUN
ap-5173	811	30	.	.	PUNCT
ap-5173	812	1	the	the	DET
ap-5173	812	2	table	table	NOUN
ap-5173	812	3	shows	show	VERB
ap-5173	812	4	that	that	SCONJ
ap-5173	812	5	the	the	DET
ap-5173	812	6	best	good	ADJ
ap-5173	812	7	results	result	NOUN
ap-5173	812	8	were	be	AUX
ap-5173	812	9	obtained	obtain	VERB
ap-5173	812	10	in	in	ADP
ap-5173	812	11	the	the	DET
ap-5173	812	12	utilization	utilization	NOUN
ap-5173	812	13	of	of	ADP
ap-5173	812	14	gaussian	gaussian	ADJ
ap-5173	812	15	kernel	kernel	NOUN
ap-5173	812	16	function	function	PROPN
ap-5173	812	17	,	,	PUNCT
ap-5173	812	18	regarding	regard	VERB
ap-5173	812	19	all	all	DET
ap-5173	812	20	input	input	NOUN
ap-5173	812	21	variables	variable	NOUN
ap-5173	812	22	.	.	PUNCT
ap-5173	813	1	this	this	DET
ap-5173	813	2	result	result	NOUN
ap-5173	813	3	was	be	AUX
ap-5173	813	4	obtained	obtain	VERB
ap-5173	813	5	for	for	ADP
ap-5173	813	6	the	the	DET
ap-5173	813	7	temperature	temperature	NOUN
ap-5173	813	8	prediction	prediction	NOUN
ap-5173	813	9	and	and	CCONJ
ap-5173	813	10	also	also	ADV
ap-5173	813	11	for	for	ADP
ap-5173	813	12	the	the	DET
ap-5173	813	13	syngas	syngas	NOUN
ap-5173	813	14	calorific	calorific	NOUN
ap-5173	813	15	value	value	NOUN
ap-5173	813	16	prediction	prediction	NOUN
ap-5173	813	17	.	.	PUNCT
ap-5173	814	1	it	it	PRON
ap-5173	814	2	is	be	AUX
ap-5173	814	3	possible	possible	ADJ
ap-5173	814	4	to	to	PART
ap-5173	814	5	see	see	VERB
ap-5173	814	6	that	that	SCONJ
ap-5173	814	7	the	the	DET
ap-5173	814	8	temperature	temperature	NOUN
ap-5173	814	9	model	model	NOUN
ap-5173	814	10	with	with	ADP
ap-5173	814	11	five	five	NUM
ap-5173	814	12	input	input	NOUN
ap-5173	814	13	variables	variable	NOUN
ap-5173	814	14	gives	give	VERB
ap-5173	814	15	the	the	DET
ap-5173	814	16	best	good	ADJ
ap-5173	814	17	tightness	tightness	NOUN
ap-5173	814	18	with	with	ADP
ap-5173	814	19	the	the	DET
ap-5173	814	20	real	real	ADJ
ap-5173	814	21	measured	measure	VERB
ap-5173	814	22	data	datum	NOUN
ap-5173	814	23	(	(	PUNCT
ap-5173	814	24	see	see	VERB
ap-5173	814	25	parameter	parameter	NOUN
ap-5173	814	26	r2	r2	PROPN
ap-5173	814	27	yy	yy	PROPN
ap-5173	815	1	=	=	PUNCT
ap-5173	815	2	0.82	0.82	NUM
ap-5173	815	3	for	for	ADP
ap-5173	815	4	training	training	NOUN
ap-5173	815	5	and	and	CCONJ
ap-5173	815	6	r2	r2	NOUN
ap-5173	815	7	yy	yy	PROPN
ap-5173	815	8	=	=	PROPN
ap-5173	815	9	0.47	0.47	NUM
ap-5173	815	10	for	for	ADP
ap-5173	815	11	test	test	NOUN
ap-5173	815	12	)	)	PUNCT
ap-5173	815	13	.	.	PUNCT
ap-5173	816	1	also	also	ADV
ap-5173	816	2	,	,	PUNCT
ap-5173	816	3	the	the	DET
ap-5173	816	4	performance	performance	NOUN
ap-5173	816	5	index	index	NOUN
ap-5173	816	6	calculated	calculate	VERB
ap-5173	816	7	for	for	ADP
ap-5173	816	8	the	the	DET
ap-5173	816	9	training	training	NOUN
ap-5173	816	10	and	and	CCONJ
ap-5173	816	11	testing	testing	NOUN
ap-5173	816	12	has	have	AUX
ap-5173	816	13	reached	reach	VERB
ap-5173	816	14	the	the	DET
ap-5173	816	15	lowest	low	ADJ
ap-5173	816	16	value	value	NOUN
ap-5173	816	17	in	in	ADP
ap-5173	816	18	this	this	DET
ap-5173	816	19	case	case	NOUN
ap-5173	816	20	(	(	PUNCT
ap-5173	816	21	see	see	VERB
ap-5173	816	22	parameter	parameter	NOUN
ap-5173	816	23	pi	pi	NOUN
ap-5173	816	24	=	=	NOUN
ap-5173	816	25	1.80	1.80	NUM
ap-5173	816	26	for	for	ADP
ap-5173	816	27	training	training	NOUN
ap-5173	816	28	and	and	CCONJ
ap-5173	816	29	pi	pi	NOUN
ap-5173	816	30	=	=	SYM
ap-5173	816	31	4.67	4.67	NUM
ap-5173	816	32	for	for	ADP
ap-5173	816	33	test	test	NOUN
ap-5173	816	34	)	)	PUNCT
ap-5173	816	35	.	.	PUNCT
ap-5173	817	1	the	the	DET
ap-5173	817	2	best	good	ADJ
ap-5173	817	3	performance	performance	NOUN
ap-5173	817	4	of	of	ADP
ap-5173	817	5	prediction	prediction	NOUN
ap-5173	817	6	is	be	AUX
ap-5173	817	7	also	also	ADV
ap-5173	817	8	indicated	indicate	VERB
ap-5173	817	9	by	by	ADP
ap-5173	817	10	other	other	ADJ
ap-5173	817	11	statistical	statistical	ADJ
ap-5173	817	12	parameters	parameter	NOUN
ap-5173	817	13	.	.	PUNCT
ap-5173	818	1	similarly	similarly	ADV
ap-5173	818	2	,	,	PUNCT
ap-5173	818	3	the	the	DET
ap-5173	818	4	best	good	ADJ
ap-5173	818	5	result	result	NOUN
ap-5173	818	6	for	for	ADP
ap-5173	818	7	the	the	DET
ap-5173	818	8	svr	svr	PROPN
ap-5173	818	9	model	model	NOUN
ap-5173	818	10	of	of	ADP
ap-5173	818	11	the	the	DET
ap-5173	818	12	syngas	syngas	NOUN
ap-5173	818	13	calorific	calorific	NOUN
ap-5173	818	14	value	value	NOUN
ap-5173	818	15	was	be	AUX
ap-5173	818	16	also	also	ADV
ap-5173	818	17	obtained	obtain	VERB
ap-5173	818	18	when	when	SCONJ
ap-5173	818	19	three	three	NUM
ap-5173	818	20	inputs	input	NOUN
ap-5173	818	21	and	and	CCONJ
ap-5173	818	22	gaussian	gaussian	ADJ
ap-5173	818	23	kernel	kernel	NOUN
ap-5173	818	24	were	be	AUX
ap-5173	818	25	used	use	VERB
ap-5173	818	26	.	.	PUNCT
ap-5173	819	1	it	it	PRON
ap-5173	819	2	is	be	AUX
ap-5173	819	3	possible	possible	ADJ
ap-5173	819	4	to	to	PART
ap-5173	819	5	see	see	VERB
ap-5173	819	6	that	that	SCONJ
ap-5173	819	7	the	the	DET
ap-5173	819	8	calorific	calorific	ADJ
ap-5173	819	9	value	value	NOUN
ap-5173	819	10	model	model	NOUN
ap-5173	819	11	with	with	ADP
ap-5173	819	12	three	three	NUM
ap-5173	819	13	inputs	input	NOUN
ap-5173	819	14	gives	give	VERB
ap-5173	819	15	the	the	DET
ap-5173	819	16	best	good	ADJ
ap-5173	819	17	tightness	tightness	NOUN
ap-5173	819	18	with	with	ADP
ap-5173	819	19	the	the	DET
ap-5173	819	20	real	real	ADJ
ap-5173	819	21	measured	measure	VERB
ap-5173	819	22	data	datum	NOUN
ap-5173	819	23	(	(	PUNCT
ap-5173	819	24	see	see	VERB
ap-5173	819	25	parameter	parameter	NOUN
ap-5173	819	26	r2	r2	PROPN
ap-5173	819	27	yy	yy	PROPN
ap-5173	819	28	=	=	PUNCT
ap-5173	819	29	0.83	0.83	NUM
ap-5173	819	30	for	for	ADP
ap-5173	819	31	training	training	NOUN
ap-5173	819	32	and	and	CCONJ
ap-5173	819	33	r2	r2	NOUN
ap-5173	819	34	yy	yy	PROPN
ap-5173	820	1	=	=	PUNCT
ap-5173	820	2	0.35	0.35	NUM
ap-5173	820	3	for	for	ADP
ap-5173	820	4	test	test	NOUN
ap-5173	820	5	)	)	PUNCT
ap-5173	820	6	.	.	PUNCT
ap-5173	821	1	also	also	ADV
ap-5173	821	2	,	,	PUNCT
ap-5173	821	3	the	the	DET
ap-5173	821	4	performance	performance	NOUN
ap-5173	821	5	index	index	NOUN
ap-5173	821	6	calculated	calculate	VERB
ap-5173	821	7	during	during	ADP
ap-5173	821	8	the	the	DET
ap-5173	821	9	training	training	NOUN
ap-5173	821	10	and	and	CCONJ
ap-5173	821	11	testing	testing	NOUN
ap-5173	821	12	has	have	AUX
ap-5173	821	13	reached	reach	VERB
ap-5173	821	14	the	the	DET
ap-5173	821	15	lowest	low	ADJ
ap-5173	821	16	value	value	NOUN
ap-5173	821	17	in	in	ADP
ap-5173	821	18	this	this	DET
ap-5173	821	19	case	case	NOUN
ap-5173	821	20	(	(	PUNCT
ap-5173	821	21	see	see	VERB
ap-5173	821	22	parameter	parameter	NOUN
ap-5173	821	23	pi	pi	NOUN
ap-5173	821	24	=	=	NOUN
ap-5173	821	25	7.20	7.20	NUM
ap-5173	821	26	for	for	ADP
ap-5173	821	27	training	training	NOUN
ap-5173	821	28	and	and	CCONJ
ap-5173	821	29	pi	pi	NOUN
ap-5173	821	30	=	=	NOUN
ap-5173	821	31	8.21	8.21	NUM
ap-5173	821	32	for	for	ADP
ap-5173	821	33	test	test	NOUN
ap-5173	821	34	)	)	PUNCT
ap-5173	821	35	.	.	PUNCT
ap-5173	822	1	the	the	DET
ap-5173	822	2	best	good	ADJ
ap-5173	822	3	quality	quality	NOUN
ap-5173	822	4	of	of	ADP
ap-5173	822	5	prediction	prediction	NOUN
ap-5173	822	6	is	be	AUX
ap-5173	822	7	also	also	ADV
ap-5173	822	8	indicated	indicate	VERB
ap-5173	822	9	by	by	ADP
ap-5173	822	10	other	other	ADJ
ap-5173	822	11	statistical	statistical	ADJ
ap-5173	822	12	parameters	parameter	NOUN
ap-5173	822	13	.	.	PUNCT
ap-5173	823	1	the	the	DET
ap-5173	823	2	worst	bad	ADJ
ap-5173	823	3	results	result	NOUN
ap-5173	823	4	for	for	ADP
ap-5173	823	5	prediction	prediction	NOUN
ap-5173	823	6	on	on	ADP
ap-5173	823	7	untrained	untrained	ADJ
ap-5173	823	8	data	datum	NOUN
ap-5173	823	9	were	be	AUX
ap-5173	823	10	obtained	obtain	VERB
ap-5173	823	11	using	use	VERB
ap-5173	823	12	the	the	DET
ap-5173	823	13	polynomial	polynomial	ADJ
ap-5173	823	14	kernel	kernel	NOUN
ap-5173	823	15	,	,	PUNCT
ap-5173	823	16	both	both	PRON
ap-5173	823	17	in	in	ADP
ap-5173	823	18	the	the	DET
ap-5173	823	19	case	case	NOUN
ap-5173	823	20	of	of	ADP
ap-5173	823	21	the	the	DET
ap-5173	823	22	temperature	temperature	NOUN
ap-5173	823	23	model	model	NOUN
ap-5173	823	24	and	and	CCONJ
ap-5173	823	25	also	also	ADV
ap-5173	823	26	the	the	DET
ap-5173	823	27	calorific	calorific	ADJ
ap-5173	823	28	value	value	NOUN
ap-5173	823	29	model	model	NOUN
ap-5173	823	30	.	.	PUNCT
ap-5173	824	1	figure	figure	VERB
ap-5173	824	2	14	14	NUM
ap-5173	824	3	and	and	CCONJ
ap-5173	824	4	figure	figure	VERB
ap-5173	824	5	15	15	NUM
ap-5173	824	6	show	show	VERB
ap-5173	824	7	the	the	DET
ap-5173	824	8	best	good	ADJ
ap-5173	824	9	prediction	prediction	NOUN
ap-5173	824	10	of	of	ADP
ap-5173	824	11	the	the	DET
ap-5173	824	12	calorific	calorific	ADJ
ap-5173	824	13	value	value	NOUN
ap-5173	824	14	and	and	CCONJ
ap-5173	824	15	underground	underground	ADJ
ap-5173	824	16	temperature	temperature	NOUN
ap-5173	824	17	by	by	ADP
ap-5173	824	18	the	the	DET
ap-5173	824	19	svr	svr	PROPN
ap-5173	824	20	on	on	ADP
ap-5173	824	21	untrained	untrained	ADJ
ap-5173	824	22	data	datum	NOUN
ap-5173	824	23	where	where	SCONJ
ap-5173	824	24	10	10	NUM
ap-5173	824	25	%	%	NOUN
ap-5173	824	26	of	of	ADP
ap-5173	824	27	the	the	DET
ap-5173	824	28	experiment	experiment	NOUN
ap-5173	824	29	was	be	AUX
ap-5173	824	30	used	use	VERB
ap-5173	824	31	for	for	ADP
ap-5173	824	32	the	the	DET
ap-5173	824	33	test	test	NOUN
ap-5173	824	34	.	.	PUNCT
ap-5173	825	1	the	the	DET
ap-5173	825	2	black	black	ADJ
ap-5173	825	3	vertical	vertical	ADJ
ap-5173	825	4	line	line	NOUN
ap-5173	825	5	in	in	ADP
ap-5173	825	6	figures	figure	NOUN
ap-5173	825	7	divides	divide	VERB
ap-5173	825	8	the	the	DET
ap-5173	825	9	prediction	prediction	NOUN
ap-5173	825	10	into	into	ADP
ap-5173	825	11	the	the	DET
ap-5173	825	12	training	training	NOUN
ap-5173	825	13	and	and	CCONJ
ap-5173	825	14	testing	testing	NOUN
ap-5173	825	15	phase	phase	NOUN
ap-5173	825	16	.	.	PUNCT
ap-5173	826	1	even	even	ADV
ap-5173	826	2	with	with	ADP
ap-5173	826	3	this	this	DET
ap-5173	826	4	method	method	NOUN
ap-5173	826	5	,	,	PUNCT
ap-5173	826	6	the	the	DET
ap-5173	826	7	results	result	NOUN
ap-5173	826	8	were	be	AUX
ap-5173	826	9	better	well	ADJ
ap-5173	826	10	for	for	ADP
ap-5173	826	11	the	the	DET
ap-5173	826	12	temperature	temperature	NOUN
ap-5173	826	13	prediction	prediction	NOUN
ap-5173	826	14	.	.	PUNCT
ap-5173	827	1	4.4	4.4	NUM
ap-5173	827	2	.	.	PUNCT
ap-5173	828	1	overall	overall	ADJ
ap-5173	828	2	results	result	VERB
ap-5173	828	3	a	a	DET
ap-5173	828	4	ranking	ranking	NOUN
ap-5173	828	5	of	of	ADP
ap-5173	828	6	the	the	DET
ap-5173	828	7	results	result	NOUN
ap-5173	828	8	from	from	ADP
ap-5173	828	9	three	three	NUM
ap-5173	828	10	evaluated	evaluated	ADJ
ap-5173	828	11	methods	method	NOUN
ap-5173	828	12	is	be	AUX
ap-5173	828	13	presented	present	VERB
ap-5173	828	14	in	in	ADP
ap-5173	828	15	table	table	NOUN
ap-5173	828	16	10	10	NUM
ap-5173	828	17	and	and	CCONJ
ap-5173	828	18	table	table	NOUN
ap-5173	828	19	11	11	NUM
ap-5173	828	20	.	.	PUNCT
ap-5173	829	1	these	these	DET
ap-5173	829	2	tables	table	NOUN
ap-5173	829	3	show	show	VERB
ap-5173	829	4	the	the	DET
ap-5173	829	5	comparison	comparison	NOUN
ap-5173	829	6	of	of	ADP
ap-5173	829	7	the	the	DET
ap-5173	829	8	best	good	ADJ
ap-5173	829	9	results	result	NOUN
ap-5173	829	10	when	when	SCONJ
ap-5173	829	11	two	two	NUM
ap-5173	829	12	variants	variant	NOUN
ap-5173	829	13	of	of	ADP
ap-5173	829	14	observations	observation	NOUN
ap-5173	829	15	(	(	PUNCT
ap-5173	829	16	i.e.	i.e.	X
ap-5173	829	17	,	,	PUNCT
ap-5173	829	18	input	input	NOUN
ap-5173	829	19	variables	variable	NOUN
ap-5173	829	20	)	)	PUNCT
ap-5173	829	21	of	of	ADP
ap-5173	829	22	each	each	DET
ap-5173	829	23	predicted	predict	VERB
ap-5173	829	24	target	target	NOUN
ap-5173	829	25	were	be	AUX
ap-5173	829	26	used	use	VERB
ap-5173	829	27	.	.	PUNCT
ap-5173	830	1	in	in	ADP
ap-5173	830	2	the	the	DET
ap-5173	830	3	training	training	NOUN
ap-5173	830	4	phase	phase	NOUN
ap-5173	830	5	,	,	PUNCT
ap-5173	830	6	the	the	DET
ap-5173	830	7	model	model	NOUN
ap-5173	830	8	was	be	AUX
ap-5173	830	9	verified	verify	VERB
ap-5173	830	10	on	on	ADP
ap-5173	830	11	training	training	NOUN
ap-5173	830	12	data	datum	NOUN
ap-5173	830	13	in	in	ADP
ap-5173	830	14	order	order	NOUN
ap-5173	830	15	to	to	PART
ap-5173	830	16	predict	predict	VERB
ap-5173	830	17	the	the	DET
ap-5173	830	18	target	target	NOUN
ap-5173	830	19	variable	variable	NOUN
ap-5173	830	20	.	.	PUNCT
ap-5173	831	1	the	the	DET
ap-5173	831	2	results	result	NOUN
ap-5173	831	3	from	from	ADP
ap-5173	831	4	the	the	DET
ap-5173	831	5	training	training	NOUN
ap-5173	831	6	phase	phase	NOUN
ap-5173	831	7	of	of	ADP
ap-5173	831	8	each	each	DET
ap-5173	831	9	method	method	NOUN
ap-5173	831	10	are	be	AUX
ap-5173	831	11	shown	show	VERB
ap-5173	831	12	in	in	ADP
ap-5173	831	13	table	table	NOUN
ap-5173	831	14	10	10	NUM
ap-5173	831	15	.	.	PUNCT
ap-5173	832	1	it	it	PRON
ap-5173	832	2	is	be	AUX
ap-5173	832	3	possible	possible	ADJ
ap-5173	832	4	to	to	PART
ap-5173	832	5	see	see	VERB
ap-5173	832	6	that	that	SCONJ
ap-5173	832	7	the	the	DET
ap-5173	832	8	svr	svr	PROPN
ap-5173	832	9	model	model	NOUN
ap-5173	832	10	with	with	ADP
ap-5173	832	11	gaussian	gaussian	ADJ
ap-5173	832	12	kernel	kernel	PROPN
ap-5173	832	13	better	well	ADV
ap-5173	832	14	fits	fit	VERB
ap-5173	832	15	the	the	DET
ap-5173	832	16	measured	measured	ADJ
ap-5173	832	17	target	target	NOUN
ap-5173	832	18	data	datum	NOUN
ap-5173	832	19	in	in	ADP
ap-5173	832	20	the	the	DET
ap-5173	832	21	case	case	NOUN
ap-5173	832	22	of	of	ADP
ap-5173	832	23	modelling	model	VERB
ap-5173	832	24	the	the	DET
ap-5173	832	25	temperature	temperature	NOUN
ap-5173	832	26	with	with	ADP
ap-5173	832	27	five	five	NUM
ap-5173	832	28	observations	observation	NOUN
ap-5173	832	29	.	.	PUNCT
ap-5173	833	1	the	the	DET
ap-5173	833	2	svr	svr	PROPN
ap-5173	833	3	model	model	NOUN
ap-5173	833	4	also	also	ADV
ap-5173	833	5	achieved	achieve	VERB
ap-5173	833	6	a	a	DET
ap-5173	833	7	better	well	ADJ
ap-5173	833	8	performance	performance	NOUN
ap-5173	833	9	when	when	SCONJ
ap-5173	833	10	using	use	VERB
ap-5173	833	11	two	two	NUM
ap-5173	833	12	input	input	NOUN
ap-5173	833	13	variables	variable	NOUN
ap-5173	833	14	.	.	PUNCT
ap-5173	834	1	the	the	DET
ap-5173	834	2	other	other	ADJ
ap-5173	834	3	interesting	interesting	ADJ
ap-5173	834	4	results	result	NOUN
ap-5173	834	5	were	be	AUX
ap-5173	834	6	obtained	obtain	VERB
ap-5173	834	7	with	with	ADP
ap-5173	834	8	the	the	DET
ap-5173	834	9	piecewise	piecewise	NOUN
ap-5173	834	10	-	-	PUNCT
ap-5173	834	11	linear	linear	NOUN
ap-5173	834	12	type	type	NOUN
ap-5173	834	13	of	of	ADP
ap-5173	834	14	the	the	DET
ap-5173	834	15	mars	mars	NOUN
ap-5173	834	16	model	model	NOUN
ap-5173	834	17	,	,	PUNCT
ap-5173	834	18	both	both	PRON
ap-5173	834	19	in	in	ADP
ap-5173	834	20	the	the	DET
ap-5173	834	21	case	case	NOUN
ap-5173	834	22	of	of	ADP
ap-5173	834	23	two	two	NUM
ap-5173	834	24	and	and	CCONJ
ap-5173	834	25	five	five	NUM
ap-5173	834	26	observations	observation	NOUN
ap-5173	834	27	.	.	PUNCT
ap-5173	835	1	however	however	ADV
ap-5173	835	2	,	,	PUNCT
ap-5173	835	3	mars	mars	PROPN
ap-5173	835	4	models	model	NOUN
ap-5173	835	5	have	have	AUX
ap-5173	835	6	consumed	consume	VERB
ap-5173	835	7	more	more	ADJ
ap-5173	835	8	time	time	NOUN
ap-5173	835	9	than	than	ADP
ap-5173	835	10	bpnn	bpnn	NOUN
ap-5173	835	11	and	and	CCONJ
ap-5173	835	12	svr	svr	PROPN
ap-5173	835	13	.	.	PUNCT
ap-5173	836	1	when	when	SCONJ
ap-5173	836	2	fitting	fit	VERB
ap-5173	836	3	the	the	DET
ap-5173	836	4	calorific	calorific	ADJ
ap-5173	836	5	value	value	NOUN
ap-5173	836	6	,	,	PUNCT
ap-5173	836	7	the	the	DET
ap-5173	836	8	svr	svr	PROPN
ap-5173	836	9	and	and	CCONJ
ap-5173	836	10	gaussian	gaussian	ADJ
ap-5173	836	11	kernel	kernel	NOUN
ap-5173	836	12	also	also	ADV
ap-5173	836	13	reached	reach	VERB
ap-5173	836	14	the	the	DET
ap-5173	836	15	best	good	ADJ
ap-5173	836	16	performance	performance	NOUN
ap-5173	836	17	.	.	PUNCT
ap-5173	837	1	it	it	PRON
ap-5173	837	2	was	be	AUX
ap-5173	837	3	the	the	DET
ap-5173	837	4	case	case	NOUN
ap-5173	837	5	with	with	ADP
ap-5173	837	6	five	five	NUM
ap-5173	837	7	inputs	input	NOUN
ap-5173	837	8	variables	variable	NOUN
ap-5173	837	9	.	.	PUNCT
ap-5173	838	1	in	in	ADP
ap-5173	838	2	the	the	DET
ap-5173	838	3	case	case	NOUN
ap-5173	838	4	of	of	ADP
ap-5173	838	5	344	344	NUM
ap-5173	838	6	vol	vol	NOUN
ap-5173	838	7	.	.	PUNCT
ap-5173	839	1	59	59	NUM
ap-5173	839	2	no	no	NOUN
ap-5173	839	3	.	.	PUNCT
ap-5173	840	1	4/2019	4/2019	NUM
ap-5173	840	2	a	a	DET
ap-5173	840	3	comparative	comparative	ADJ
ap-5173	840	4	study	study	NOUN
ap-5173	840	5	of	of	ADP
ap-5173	840	6	data	data	NOUN
ap-5173	840	7	-	-	PUNCT
ap-5173	840	8	driven	drive	VERB
ap-5173	840	9	modeling	modeling	NOUN
ap-5173	840	10	methods	method	NOUN
ap-5173	840	11	.	.	PUNCT
ap-5173	840	12	.	.	PUNCT
ap-5173	840	13	.	.	PUNCT
ap-5173	841	1	pr	pr	INTJ
ap-5173	842	1	ed	ed	INTJ
ap-5173	842	2	ic	ic	PROPN
ap-5173	842	3	te	te	PROPN
ap-5173	842	4	d	d	PROPN
ap-5173	842	5	va	va	PROPN
ap-5173	842	6	ria	ria	PROPN
ap-5173	842	7	bl	bl	PROPN
ap-5173	842	8	e	e	PROPN
ap-5173	842	9	k	k	PROPN
ap-5173	842	10	er	er	INTJ
ap-5173	842	11	ne	ne	PROPN
ap-5173	842	12	l	l	PROPN
ap-5173	842	13	fu	fu	PROPN
ap-5173	842	14	nc	nc	PROPN
ap-5173	842	15	tio	tio	PROPN
ap-5173	842	16	n	n	ADV
ap-5173	842	17	o	o	NOUN
ap-5173	842	18	bs	bs	INTJ
ap-5173	842	19	er	er	INTJ
ap-5173	842	20	va	va	NOUN
ap-5173	842	21	tio	tio	PROPN
ap-5173	842	22	ns	ns	INTJ
ap-5173	842	23	(	(	PUNCT
ap-5173	842	24	in	in	ADP
ap-5173	842	25	pu	pu	PROPN
ap-5173	842	26	ts	ts	ADV
ap-5173	842	27	)	)	PUNCT
ap-5173	843	1	tr	tr	AUX
ap-5173	843	2	ai	ai	PROPN
ap-5173	843	3	ni	ni	PROPN
ap-5173	843	4	ng	ng	PROPN
ap-5173	843	5	te	te	PROPN
ap-5173	843	6	st	st	PROPN
ap-5173	843	7	in	in	ADP
ap-5173	843	8	g	g	PROPN
ap-5173	843	9	r	r	NOUN
ap-5173	843	10	y	y	PROPN
ap-5173	843	11	y	y	PROPN
ap-5173	843	12	r2	r2	PROPN
ap-5173	844	1	y	y	PROPN
ap-5173	844	2	y	y	PROPN
ap-5173	844	3	r	r	NOUN
ap-5173	845	1	r	r	NOUN
ap-5173	845	2	m	m	VERB
ap-5173	845	3	se	se	X
ap-5173	845	4	(	(	PUNCT
ap-5173	845	5	%	%	NOUN
ap-5173	845	6	)	)	PUNCT
ap-5173	846	1	pi	pi	NOUN
ap-5173	846	2	m	m	PROPN
ap-5173	846	3	a	a	DET
ap-5173	846	4	pe	pe	X
ap-5173	846	5	(	(	PUNCT
ap-5173	846	6	%	%	NOUN
ap-5173	846	7	)	)	PUNCT
ap-5173	846	8	m	m	VERB
ap-5173	846	9	se	se	INTJ
ap-5173	846	10	r	r	NOUN
ap-5173	846	11	m	m	PROPN
ap-5173	846	12	se	se	PROPN
ap-5173	846	13	t	t	PROPN
ap-5173	847	1	i	i	PRON
ap-5173	847	2	m	m	VERB
ap-5173	847	3	e	e	X
ap-5173	847	4	(	(	PUNCT
ap-5173	847	5	s	s	NOUN
ap-5173	847	6	)	)	PUNCT
ap-5173	847	7	r	r	NOUN
ap-5173	847	8	y	y	PROPN
ap-5173	847	9	y	y	PROPN
ap-5173	847	10	2	2	NUM
ap-5173	847	11	ry	ry	NOUN
ap-5173	848	1	y	y	PROPN
ap-5173	848	2	r	r	NOUN
ap-5173	848	3	r	r	NOUN
ap-5173	848	4	m	m	VERB
ap-5173	848	5	se	se	X
ap-5173	848	6	(	(	PUNCT
ap-5173	848	7	%	%	NOUN
ap-5173	848	8	)	)	PUNCT
ap-5173	849	1	pi	pi	NOUN
ap-5173	849	2	m	m	PROPN
ap-5173	849	3	a	a	DET
ap-5173	849	4	pe	pe	X
ap-5173	849	5	(	(	PUNCT
ap-5173	849	6	%	%	NOUN
ap-5173	849	7	)	)	PUNCT
ap-5173	849	8	m	m	VERB
ap-5173	849	9	se	se	INTJ
ap-5173	849	10	r	r	NOUN
ap-5173	849	11	m	m	VERB
ap-5173	849	12	se	se	PROPN
ap-5173	849	13	te	te	ADP
ap-5173	849	14	m	m	PROPN
ap-5173	849	15	pe	pe	INTJ
ap-5173	849	16	ra	ra	PROPN
ap-5173	849	17	tu	tu	PROPN
ap-5173	849	18	re	re	PROPN
ap-5173	849	19	li	li	PROPN
ap-5173	849	20	ne	ne	PROPN
ap-5173	849	21	ar	ar	PROPN
ap-5173	850	1	c	c	PROPN
ap-5173	850	2	o	o	PROPN
ap-5173	850	3	,	,	PUNCT
ap-5173	850	4	c	c	NOUN
ap-5173	850	5	o	o	NOUN
ap-5173	850	6	2	2	NUM
ap-5173	850	7	0	0	NUM
ap-5173	850	8	.	.	PUNCT
ap-5173	850	9	27	27	NUM
ap-5173	850	10	94	94	NUM
ap-5173	850	11	0	0	NUM
ap-5173	850	12	.	.	PUNCT
ap-5173	850	13	07	07	NUM
ap-5173	850	14	81	81	NUM
ap-5173	850	15	8	8	NUM
ap-5173	850	16	.	.	PUNCT
ap-5173	851	1	26	26	NUM
ap-5173	851	2	94	94	NUM
ap-5173	851	3	6	6	NUM
ap-5173	851	4	.	.	PUNCT
ap-5173	851	5	46	46	NUM
ap-5173	851	6	35	35	NUM
ap-5173	851	7	6	6	NUM
ap-5173	851	8	.	.	PUNCT
ap-5173	851	9	83	83	NUM
ap-5173	851	10	99	99	NUM
ap-5173	851	11	69	69	NUM
ap-5173	851	12	17	17	NUM
ap-5173	851	13	.6	.6	NUM
ap-5173	851	14	85	85	NUM
ap-5173	851	15	4	4	NUM
ap-5173	851	16	83	83	NUM
ap-5173	851	17	.1	.1	NUM
ap-5173	851	18	72	72	NUM
ap-5173	851	19	6	6	NUM
ap-5173	851	20	0	0	NUM
ap-5173	851	21	.	.	PUNCT
ap-5173	852	1	48	48	NUM
ap-5173	852	2	13	13	NUM
ap-5173	852	3	0	0	NUM
ap-5173	852	4	.	.	PUNCT
ap-5173	852	5	36	36	NUM
ap-5173	852	6	50	50	NUM
ap-5173	852	7	0	0	NUM
ap-5173	852	8	.	.	PUNCT
ap-5173	852	9	13	13	NUM
ap-5173	852	10	32	32	NUM
ap-5173	852	11	8	8	NUM
ap-5173	852	12	.	.	PUNCT
ap-5173	853	1	45	45	NUM
ap-5173	853	2	38	38	NUM
ap-5173	853	3	6	6	NUM
ap-5173	853	4	.	.	NOUN
ap-5173	853	5	19	19	NUM
ap-5173	853	6	33	33	NUM
ap-5173	853	7	7	7	NUM
ap-5173	853	8	.	.	NUM
ap-5173	853	9	21	21	NUM
ap-5173	853	10	03	03	NUM
ap-5173	853	11	65	65	NUM
ap-5173	853	12	78	78	NUM
ap-5173	853	13	.6	.6	NUM
ap-5173	853	14	16	16	NUM
ap-5173	853	15	5	5	NUM
ap-5173	853	16	81	81	NUM
ap-5173	853	17	.1	.1	NUM
ap-5173	853	18	08	08	NUM
ap-5173	853	19	7	7	NUM
ap-5173	854	1	c	c	NOUN
ap-5173	854	2	o	o	NOUN
ap-5173	854	3	,	,	PUNCT
ap-5173	854	4	c	c	NOUN
ap-5173	854	5	o	o	NOUN
ap-5173	854	6	2	2	NUM
ap-5173	854	7	,	,	PUNCT
ap-5173	854	8	h	h	NOUN
ap-5173	854	9	2	2	NUM
ap-5173	854	10	,	,	PUNCT
ap-5173	854	11	c	c	NOUN
ap-5173	854	12	h	h	NOUN
ap-5173	854	13	4	4	NUM
ap-5173	854	14	,	,	PUNCT
ap-5173	854	15	o	o	NOUN
ap-5173	854	16	2	2	NUM
ap-5173	854	17	0	0	NUM
ap-5173	854	18	.	.	NOUN
ap-5173	854	19	29	29	NUM
ap-5173	854	20	45	45	NUM
ap-5173	854	21	0	0	NUM
ap-5173	854	22	.	.	PUNCT
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ap-5173	854	47	.	.	PUNCT
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ap-5173	862	25	.	.	PUNCT
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ap-5173	866	25	.	.	PUNCT
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ap-5173	888	3	0	0	NUM
ap-5173	888	4	.	.	PUNCT
ap-5173	889	1	14	14	NUM
ap-5173	889	2	82	82	NUM
ap-5173	889	3	16	16	NUM
ap-5173	889	4	.1	.1	NUM
ap-5173	889	5	07	07	NUM
ap-5173	889	6	3	3	NUM
ap-5173	889	7	11	11	NUM
ap-5173	889	8	.6	.6	NUM
ap-5173	889	9	29	29	NUM
ap-5173	889	10	7	7	NUM
ap-5173	889	11	16	16	NUM
ap-5173	889	12	.1	.1	NUM
ap-5173	889	13	57	57	NUM
ap-5173	889	14	2	2	NUM
ap-5173	889	15	3	3	NUM
ap-5173	889	16	.	.	PUNCT
ap-5173	890	1	47	47	NUM
ap-5173	890	2	67	67	NUM
ap-5173	890	3	1	1	NUM
ap-5173	890	4	.	.	X
ap-5173	891	1	86	86	NUM
ap-5173	891	2	46	46	NUM
ap-5173	891	3	g	g	NOUN
ap-5173	891	4	au	au	PROPN
ap-5173	891	5	ss	ss	PROPN
ap-5173	891	6	ia	ia	PROPN
ap-5173	891	7	n	n	PROPN
ap-5173	891	8	a	a	DET
ap-5173	891	9	ir	ir	NOUN
ap-5173	891	10	,	,	PUNCT
ap-5173	891	11	o	o	NOUN
ap-5173	891	12	2	2	NUM
ap-5173	891	13	0	0	NUM
ap-5173	891	14	.	.	PUNCT
ap-5173	891	15	78	78	NUM
ap-5173	891	16	68	68	NUM
ap-5173	891	17	0	0	NUM
ap-5173	891	18	.	.	PUNCT
ap-5173	892	1	61	61	NUM
ap-5173	892	2	90	90	NUM
ap-5173	892	3	21	21	NUM
ap-5173	892	4	.0	.0	NUM
ap-5173	892	5	84	84	NUM
ap-5173	892	6	8	8	NUM
ap-5173	892	7	11	11	NUM
ap-5173	892	8	.8	.8	NUM
ap-5173	892	9	00	00	NUM
ap-5173	892	10	6	6	NUM
ap-5173	892	11	22	22	NUM
ap-5173	892	12	.3	.3	NUM
ap-5173	892	13	99	99	NUM
ap-5173	892	14	0	0	NUM
ap-5173	892	15	3	3	NUM
ap-5173	892	16	.	.	NOUN
ap-5173	892	17	84	84	NUM
ap-5173	892	18	91	91	NUM
ap-5173	892	19	1	1	NUM
ap-5173	892	20	.	.	PUNCT
ap-5173	892	21	96	96	NUM
ap-5173	892	22	19	19	NUM
ap-5173	892	23	0	0	NUM
ap-5173	892	24	.	.	PUNCT
ap-5173	893	1	51	51	NUM
ap-5173	893	2	78	78	NUM
ap-5173	893	3	0	0	NUM
ap-5173	893	4	.	.	PUNCT
ap-5173	894	1	41	41	NUM
ap-5173	894	2	71	71	NUM
ap-5173	894	3	0	0	NUM
ap-5173	894	4	.	.	NUM
ap-5173	895	1	17	17	NUM
ap-5173	895	2	40	40	NUM
ap-5173	895	3	18	18	NUM
ap-5173	895	4	.9	.9	NUM
ap-5173	895	5	02	02	NUM
ap-5173	895	6	3	3	NUM
ap-5173	895	7	13	13	NUM
ap-5173	895	8	.3	.3	NUM
ap-5173	895	9	38	38	NUM
ap-5173	895	10	7	7	NUM
ap-5173	895	11	19	19	NUM
ap-5173	895	12	.4	.4	NUM
ap-5173	895	13	81	81	NUM
ap-5173	895	14	6	6	NUM
ap-5173	895	15	4	4	NUM
ap-5173	895	16	.	.	PUNCT
ap-5173	895	17	78	78	NUM
ap-5173	895	18	80	80	NUM
ap-5173	895	19	2	2	NUM
ap-5173	895	20	.	.	NUM
ap-5173	895	21	18	18	NUM
ap-5173	895	22	81	81	NUM
ap-5173	895	23	a	a	DET
ap-5173	895	24	ir	ir	NOUN
ap-5173	895	25	,	,	PUNCT
ap-5173	895	26	o	o	NOUN
ap-5173	895	27	2	2	NUM
ap-5173	895	28	,	,	PUNCT
ap-5173	895	29	o	o	PROPN
ap-5173	895	30	ut	ut	PROPN
ap-5173	895	31	le	le	PROPN
ap-5173	895	32	t	t	PROPN
ap-5173	895	33	pr	pr	NOUN
ap-5173	895	34	es	es	X
ap-5173	895	35	su	su	PROPN
ap-5173	895	36	re	re	PROPN
ap-5173	895	37	0	0	NUM
ap-5173	895	38	.	.	PUNCT
ap-5173	896	1	91	91	NUM
ap-5173	896	2	30	30	NUM
ap-5173	896	3	0	0	NUM
ap-5173	896	4	.	.	PUNCT
ap-5173	897	1	83	83	NUM
ap-5173	897	2	35	35	NUM
ap-5173	897	3	13	13	NUM
ap-5173	897	4	.7	.7	NUM
ap-5173	897	5	89	89	NUM
ap-5173	897	6	6	6	NUM
ap-5173	897	7	7	7	NUM
ap-5173	897	8	.	.	NOUN
ap-5173	897	9	20	20	NUM
ap-5173	897	10	85	85	NUM
ap-5173	897	11	9	9	NUM
ap-5173	897	12	.	.	PUNCT
ap-5173	898	1	99	99	NUM
ap-5173	898	2	55	55	NUM
ap-5173	898	3	1	1	NUM
ap-5173	898	4	.	.	NUM
ap-5173	898	5	64	64	NUM
ap-5173	898	6	63	63	NUM
ap-5173	898	7	1	1	NUM
ap-5173	898	8	.	.	PUNCT
ap-5173	899	1	28	28	NUM
ap-5173	899	2	31	31	NUM
ap-5173	899	3	0	0	NUM
ap-5173	899	4	.	.	PUNCT
ap-5173	900	1	54	54	NUM
ap-5173	900	2	46	46	NUM
ap-5173	900	3	0	0	NUM
ap-5173	900	4	.	.	PUNCT
ap-5173	901	1	59	59	NUM
ap-5173	901	2	97	97	NUM
ap-5173	901	3	0	0	NUM
ap-5173	901	4	.	.	NOUN
ap-5173	901	5	35	35	NUM
ap-5173	901	6	96	96	NUM
ap-5173	901	7	13	13	NUM
ap-5173	901	8	.1	.1	NUM
ap-5173	901	9	47	47	NUM
ap-5173	901	10	1	1	NUM
ap-5173	901	11	8	8	NUM
ap-5173	901	12	.	.	PUNCT
ap-5173	902	1	21	21	NUM
ap-5173	902	2	84	84	NUM
ap-5173	902	3	11	11	NUM
ap-5173	902	4	.3	.3	NUM
ap-5173	902	5	80	80	NUM
ap-5173	902	6	8	8	NUM
ap-5173	902	7	2	2	NUM
ap-5173	902	8	.	.	NUM
ap-5173	902	9	31	31	NUM
ap-5173	902	10	62	62	NUM
ap-5173	902	11	1	1	NUM
ap-5173	902	12	.	.	NUM
ap-5173	902	13	52	52	NUM
ap-5173	902	14	19	19	NUM
ap-5173	902	15	po	po	NOUN
ap-5173	902	16	ly	ly	ADP
ap-5173	902	17	no	no	DET
ap-5173	902	18	m	m	PROPN
ap-5173	902	19	ia	ia	PROPN
ap-5173	902	20	l	l	PROPN
ap-5173	902	21	a	a	DET
ap-5173	902	22	ir	ir	PROPN
ap-5173	902	23	,	,	PUNCT
ap-5173	902	24	o	o	NOUN
ap-5173	902	25	2	2	NUM
ap-5173	902	26	0	0	NUM
ap-5173	902	27	.	.	PUNCT
ap-5173	902	28	70	70	NUM
ap-5173	902	29	42	42	NUM
ap-5173	902	30	0	0	NUM
ap-5173	902	31	.	.	PUNCT
ap-5173	903	1	49	49	NUM
ap-5173	903	2	59	59	NUM
ap-5173	903	3	25	25	NUM
ap-5173	903	4	.9	.9	NUM
ap-5173	903	5	05	05	NUM
ap-5173	903	6	4	4	NUM
ap-5173	903	7	15	15	NUM
ap-5173	903	8	.2	.2	NUM
ap-5173	903	9	01	01	NUM
ap-5173	903	10	2	2	NUM
ap-5173	903	11	32	32	NUM
ap-5173	903	12	.7	.7	NUM
ap-5173	903	13	63	63	NUM
ap-5173	903	14	3	3	NUM
ap-5173	903	15	5	5	NUM
ap-5173	903	16	.	.	PUNCT
ap-5173	903	17	81	81	NUM
ap-5173	903	18	03	03	NUM
ap-5173	903	19	2	2	NUM
ap-5173	903	20	.	.	X
ap-5173	903	21	41	41	NUM
ap-5173	903	22	05	05	NUM
ap-5173	903	23	10	10	NUM
ap-5173	903	24	9	9	NUM
ap-5173	903	25	.	.	NOUN
ap-5173	903	26	85	85	NUM
ap-5173	903	27	09	09	NUM
ap-5173	903	28	0	0	NUM
ap-5173	903	29	.	.	PUNCT
ap-5173	903	30	37	37	NUM
ap-5173	903	31	85	85	NUM
ap-5173	903	32	0	0	NUM
ap-5173	903	33	.	.	PUNCT
ap-5173	904	1	14	14	NUM
ap-5173	904	2	33	33	NUM
ap-5173	904	3	20	20	NUM
ap-5173	904	4	.8	.8	NUM
ap-5173	904	5	25	25	NUM
ap-5173	904	6	6	6	NUM
ap-5173	904	7	15	15	NUM
ap-5173	904	8	.1	.1	NUM
ap-5173	904	9	07	07	NUM
ap-5173	904	10	5	5	NUM
ap-5173	904	11	23	23	NUM
ap-5173	904	12	.5	.5	NUM
ap-5173	904	13	17	17	NUM
ap-5173	904	14	0	0	NUM
ap-5173	904	15	5	5	NUM
ap-5173	904	16	.	.	PUNCT
ap-5173	904	17	81	81	NUM
ap-5173	904	18	19	19	NUM
ap-5173	904	19	2	2	NUM
ap-5173	904	20	.	.	PUNCT
ap-5173	904	21	41	41	NUM
ap-5173	904	22	08	08	NUM
ap-5173	904	23	a	a	DET
ap-5173	904	24	ir	ir	PROPN
ap-5173	904	25	,	,	PUNCT
ap-5173	904	26	o	o	NOUN
ap-5173	904	27	2	2	NUM
ap-5173	904	28	,	,	PUNCT
ap-5173	904	29	o	o	PROPN
ap-5173	904	30	ut	ut	PROPN
ap-5173	904	31	le	le	PROPN
ap-5173	904	32	t	t	PROPN
ap-5173	904	33	pr	pr	NOUN
ap-5173	904	34	es	es	X
ap-5173	904	35	su	su	PROPN
ap-5173	904	36	re	re	PROPN
ap-5173	904	37	0	0	NUM
ap-5173	904	38	.	.	PUNCT
ap-5173	905	1	65	65	NUM
ap-5173	905	2	00	00	NUM
ap-5173	905	3	0	0	NUM
ap-5173	905	4	.	.	X
ap-5173	906	1	42	42	NUM
ap-5173	906	2	25	25	NUM
ap-5173	906	3	35	35	NUM
ap-5173	906	4	.7	.7	NUM
ap-5173	906	5	76	76	NUM
ap-5173	906	6	2	2	NUM
ap-5173	906	7	21	21	NUM
ap-5173	906	8	.6	.6	NUM
ap-5173	906	9	82	82	NUM
ap-5173	906	10	6	6	NUM
ap-5173	906	11	44	44	NUM
ap-5173	906	12	.4	.4	NUM
ap-5173	906	13	54	54	NUM
ap-5173	906	14	0	0	NUM
ap-5173	906	15	11	11	NUM
ap-5173	906	16	.0	.0	NUM
ap-5173	906	17	81	81	NUM
ap-5173	906	18	7	7	NUM
ap-5173	906	19	3	3	NUM
ap-5173	906	20	.	.	PUNCT
ap-5173	906	21	32	32	NUM
ap-5173	906	22	89	89	NUM
ap-5173	906	23	12	12	NUM
ap-5173	906	24	1	1	NUM
ap-5173	906	25	.	.	PUNCT
ap-5173	906	26	12	12	NUM
ap-5173	906	27	58	58	NUM
ap-5173	906	28	0	0	NUM
ap-5173	906	29	.	.	PROPN
ap-5173	906	30	20	20	NUM
ap-5173	906	31	66	66	NUM
ap-5173	906	32	0	0	NUM
ap-5173	906	33	.	.	PUNCT
ap-5173	906	34	04	04	NUM
ap-5173	907	1	27	27	NUM
ap-5173	907	2	28	28	NUM
ap-5173	907	3	.6	.6	NUM
ap-5173	907	4	15	15	NUM
ap-5173	907	5	5	5	NUM
ap-5173	907	6	23	23	NUM
ap-5173	907	7	.7	.7	NUM
ap-5173	907	8	15	15	NUM
ap-5173	907	9	8	8	NUM
ap-5173	907	10	32	32	NUM
ap-5173	907	11	.3	.3	NUM
ap-5173	907	12	06	06	NUM
ap-5173	907	13	5	5	NUM
ap-5173	907	14	7	7	NUM
ap-5173	907	15	.	.	NUM
ap-5173	907	16	98	98	NUM
ap-5173	907	17	59	59	NUM
ap-5173	907	18	3	3	NUM
ap-5173	907	19	.	.	SYM
ap-5173	907	20	31	31	NUM
ap-5173	907	21	26	26	NUM
ap-5173	907	22	table	table	NOUN
ap-5173	907	23	9	9	NUM
ap-5173	907	24	.	.	PUNCT
ap-5173	907	25	results	result	NOUN
ap-5173	907	26	of	of	ADP
ap-5173	907	27	simulations	simulation	NOUN
ap-5173	907	28	with	with	ADP
ap-5173	907	29	svr	svr	PROPN
ap-5173	907	30	where	where	SCONJ
ap-5173	907	31	10	10	NUM
ap-5173	907	32	%	%	NOUN
ap-5173	907	33	of	of	ADP
ap-5173	907	34	the	the	DET
ap-5173	907	35	experiment	experiment	NOUN
ap-5173	907	36	was	be	AUX
ap-5173	907	37	used	use	VERB
ap-5173	907	38	to	to	PART
ap-5173	907	39	test	test	VERB
ap-5173	907	40	.	.	PUNCT
ap-5173	908	1	345	345	NUM
ap-5173	908	2	j.	j.	PROPN
ap-5173	908	3	kačur	kačur	PROPN
ap-5173	908	4	,	,	PUNCT
ap-5173	908	5	m.	m.	PROPN
ap-5173	908	6	durdán	durdán	PROPN
ap-5173	908	7	,	,	PUNCT
ap-5173	908	8	m.	m.	NOUN
ap-5173	908	9	laciak	laciak	NOUN
ap-5173	908	10	,	,	PUNCT
ap-5173	908	11	p.	p.	PROPN
ap-5173	908	12	flegner	flegner	PROPN
ap-5173	908	13	acta	acta	PROPN
ap-5173	908	14	polytechnica	polytechnica	PROPN
ap-5173	908	15	figure	figure	NOUN
ap-5173	908	16	14	14	NUM
ap-5173	908	17	.	.	PUNCT
ap-5173	908	18	measured	measure	VERB
ap-5173	908	19	and	and	CCONJ
ap-5173	908	20	predicted	predict	VERB
ap-5173	908	21	calorific	calorific	ADJ
ap-5173	908	22	value	value	NOUN
ap-5173	908	23	of	of	ADP
ap-5173	908	24	syngas	syngas	NOUN
ap-5173	908	25	by	by	ADP
ap-5173	908	26	svr	svr	PROPN
ap-5173	908	27	with	with	ADP
ap-5173	908	28	gaussian	gaussian	ADJ
ap-5173	908	29	kernel	kernel	NOUN
ap-5173	908	30	function	function	VERB
ap-5173	908	31	where	where	SCONJ
ap-5173	908	32	10	10	NUM
ap-5173	908	33	%	%	NOUN
ap-5173	908	34	of	of	ADP
ap-5173	908	35	the	the	DET
ap-5173	908	36	experiment	experiment	NOUN
ap-5173	908	37	and	and	CCONJ
ap-5173	908	38	three	three	NUM
ap-5173	908	39	inputs	input	NOUN
ap-5173	908	40	were	be	AUX
ap-5173	908	41	used	use	VERB
ap-5173	908	42	for	for	ADP
ap-5173	908	43	test	test	NOUN
ap-5173	908	44	.	.	PUNCT
ap-5173	908	45	figure	figure	VERB
ap-5173	908	46	15	15	NUM
ap-5173	908	47	.	.	PUNCT
ap-5173	909	1	measured	measure	VERB
ap-5173	909	2	and	and	CCONJ
ap-5173	909	3	predicted	predict	VERB
ap-5173	909	4	underground	underground	ADJ
ap-5173	909	5	temperature	temperature	NOUN
ap-5173	909	6	by	by	ADP
ap-5173	909	7	svr	svr	PROPN
ap-5173	909	8	with	with	ADP
ap-5173	909	9	gaussian	gaussian	ADJ
ap-5173	909	10	kernel	kernel	NOUN
ap-5173	909	11	function	function	VERB
ap-5173	909	12	where	where	SCONJ
ap-5173	909	13	10	10	NUM
ap-5173	909	14	%	%	NOUN
ap-5173	909	15	of	of	ADP
ap-5173	909	16	the	the	DET
ap-5173	909	17	experiment	experiment	NOUN
ap-5173	909	18	and	and	CCONJ
ap-5173	909	19	five	five	NUM
ap-5173	909	20	inputs	input	NOUN
ap-5173	909	21	were	be	AUX
ap-5173	909	22	used	use	VERB
ap-5173	909	23	for	for	ADP
ap-5173	909	24	test	test	NOUN
ap-5173	909	25	.	.	PUNCT
ap-5173	910	1	346	346	NUM
ap-5173	910	2	vol	vol	NOUN
ap-5173	910	3	.	.	PUNCT
ap-5173	911	1	59	59	NUM
ap-5173	911	2	no	no	NOUN
ap-5173	911	3	.	.	PUNCT
ap-5173	912	1	4/2019	4/2019	NUM
ap-5173	912	2	a	a	DET
ap-5173	912	3	comparative	comparative	ADJ
ap-5173	912	4	study	study	NOUN
ap-5173	912	5	of	of	ADP
ap-5173	912	6	data	data	NOUN
ap-5173	912	7	-	-	PUNCT
ap-5173	912	8	driven	drive	VERB
ap-5173	912	9	modeling	modeling	NOUN
ap-5173	912	10	methods	method	NOUN
ap-5173	912	11	.	.	PUNCT
ap-5173	912	12	.	.	PUNCT
ap-5173	912	13	.	.	PUNCT
ap-5173	913	1	pr	pr	INTJ
ap-5173	914	1	ed	ed	INTJ
ap-5173	914	2	ic	ic	PROPN
ap-5173	914	3	ed	ed	PROPN
ap-5173	914	4	va	va	PROPN
ap-5173	914	5	ria	ria	PROPN
ap-5173	915	1	bl	bl	PROPN
ap-5173	915	2	e	e	PROPN
ap-5173	915	3	m	m	VERB
ap-5173	915	4	et	et	NOUN
ap-5173	915	5	ho	ho	PROPN
ap-5173	915	6	d	d	X
ap-5173	915	7	o	o	X
ap-5173	915	8	bs	bs	INTJ
ap-5173	915	9	er	er	INTJ
ap-5173	915	10	va	va	NOUN
ap-5173	915	11	tio	tio	PROPN
ap-5173	915	12	ns	ns	INTJ
ap-5173	915	13	tr	tr	VERB
ap-5173	915	14	ai	ai	PROPN
ap-5173	915	15	ni	ni	PROPN
ap-5173	915	16	ng	ng	PROPN
ap-5173	915	17	r	r	PROPN
ap-5173	915	18	y	y	PROPN
ap-5173	915	19	y	y	PROPN
ap-5173	915	20	r2	r2	PROPN
ap-5173	916	1	y	y	PROPN
ap-5173	916	2	y	y	PROPN
ap-5173	916	3	r	r	NOUN
ap-5173	917	1	r	r	NOUN
ap-5173	917	2	m	m	VERB
ap-5173	917	3	se	se	X
ap-5173	917	4	(	(	PUNCT
ap-5173	917	5	%	%	NOUN
ap-5173	917	6	)	)	PUNCT
ap-5173	918	1	pi	pi	NOUN
ap-5173	918	2	m	m	PROPN
ap-5173	918	3	a	a	DET
ap-5173	918	4	pe	pe	X
ap-5173	918	5	(	(	PUNCT
ap-5173	918	6	%	%	NOUN
ap-5173	918	7	)	)	PUNCT
ap-5173	918	8	m	m	VERB
ap-5173	918	9	se	se	INTJ
ap-5173	918	10	r	r	NOUN
ap-5173	918	11	m	m	PROPN
ap-5173	918	12	se	se	PROPN
ap-5173	918	13	t	t	PROPN
ap-5173	919	1	i	i	PRON
ap-5173	919	2	m	m	VERB
ap-5173	919	3	e	e	X
ap-5173	919	4	(	(	PUNCT
ap-5173	919	5	s	s	X
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ap-5173	919	16	,	,	PUNCT
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ap-5173	920	5	:	:	PUNCT
ap-5173	920	6	2	2	NUM
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ap-5173	920	8	n	n	CCONJ
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ap-5173	920	12	:	:	PUNCT
ap-5173	920	13	(	(	PUNCT
ap-5173	920	14	l	l	NOUN
ap-5173	920	15	1	1	NUM
ap-5173	920	16	:	:	PUNCT
ap-5173	920	17	l2	l2	NOUN
ap-5173	920	18	)	)	PUNCT
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ap-5173	920	21	:	:	PUNCT
ap-5173	920	22	8	8	NUM
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ap-5173	920	24	o	o	NOUN
ap-5173	920	25	,	,	PUNCT
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ap-5173	921	5	.	.	NOUN
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ap-5173	922	4	.	.	PUNCT
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ap-5173	922	8	.	.	PUNCT
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ap-5173	922	12	.	.	PUNCT
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ap-5173	922	35	,	,	PUNCT
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ap-5173	924	2	:	:	PUNCT
ap-5173	924	3	1	1	NUM
ap-5173	924	4	,	,	PUNCT
ap-5173	924	5	n	n	CCONJ
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ap-5173	924	9	(	(	PUNCT
ap-5173	924	10	l	l	NOUN
ap-5173	924	11	1	1	NUM
ap-5173	924	12	)	)	PUNCT
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ap-5173	924	15	o	o	NOUN
ap-5173	924	16	,	,	PUNCT
ap-5173	924	17	c	c	NOUN
ap-5173	924	18	o	o	NOUN
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ap-5173	924	20	,	,	PUNCT
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ap-5173	924	22	2	2	NUM
ap-5173	924	23	,	,	PUNCT
ap-5173	924	24	c	c	NOUN
ap-5173	924	25	h	h	NOUN
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ap-5173	924	27	,	,	PUNCT
ap-5173	924	28	o	o	NOUN
ap-5173	924	29	2	2	NUM
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ap-5173	924	31	.	.	PUNCT
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ap-5173	924	35	.	.	PUNCT
ap-5173	924	36	17	17	NUM
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ap-5173	924	43	.	.	NUM
ap-5173	924	44	24	24	NUM
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ap-5173	924	47	.	.	PUNCT
ap-5173	924	48	14	14	NUM
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ap-5173	924	60	.	.	PUNCT
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ap-5173	924	82	,	,	PUNCT
ap-5173	924	83	c	c	NOUN
ap-5173	924	84	o	o	NOUN
ap-5173	924	85	2	2	NUM
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ap-5173	924	87	.	.	PUNCT
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ap-5173	925	4	.	.	PUNCT
ap-5173	925	5	24	24	NUM
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ap-5173	925	8	.	.	PUNCT
ap-5173	925	9	10	10	NUM
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ap-5173	925	12	.	.	X
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ap-5173	925	16	.	.	PUNCT
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ap-5173	926	7	4	4	NUM
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ap-5173	926	15	5	5	NUM
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ap-5173	926	20	,	,	PUNCT
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ap-5173	926	28	,	,	PUNCT
ap-5173	926	29	2	2	NUM
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ap-5173	926	35	,	,	PUNCT
ap-5173	926	36	c	c	NOUN
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ap-5173	926	42	,	,	PUNCT
ap-5173	926	43	c	c	NOUN
ap-5173	926	44	h	h	NOUN
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ap-5173	926	46	,	,	PUNCT
ap-5173	926	47	o	o	NOUN
ap-5173	926	48	2	2	NUM
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ap-5173	926	50	.	.	PUNCT
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ap-5173	927	4	.	.	PUNCT
ap-5173	928	1	44	44	NUM
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ap-5173	928	4	.	.	NOUN
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ap-5173	928	8	.	.	PUNCT
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ap-5173	928	12	.	.	PUNCT
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ap-5173	928	30	,	,	PUNCT
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ap-5173	929	7	.	.	PUNCT
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ap-5173	930	4	.	.	PUNCT
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ap-5173	931	4	.	.	PUNCT
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ap-5173	931	8	.	.	PUNCT
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ap-5173	940	17	)	)	PUNCT
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ap-5173	940	24	,	,	PUNCT
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ap-5173	942	20	.	.	PUNCT
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ap-5173	943	5	2	2	NUM
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ap-5173	943	11	:	:	PUNCT
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ap-5173	943	13	l	l	NOUN
ap-5173	943	14	1	1	NUM
ap-5173	943	15	:	:	PUNCT
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ap-5173	943	17	)	)	PUNCT
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ap-5173	943	20	:	:	PUNCT
ap-5173	943	21	8	8	NUM
ap-5173	943	22	a	a	DET
ap-5173	943	23	ir	ir	NOUN
ap-5173	943	24	,	,	PUNCT
ap-5173	943	25	o	o	NOUN
ap-5173	943	26	2	2	NUM
ap-5173	943	27	,	,	PUNCT
ap-5173	943	28	o	o	PROPN
ap-5173	943	29	ut	ut	PROPN
ap-5173	943	30	le	le	PROPN
ap-5173	943	31	t	t	PROPN
ap-5173	943	32	pr	pr	NOUN
ap-5173	943	33	es	es	X
ap-5173	943	34	su	su	PROPN
ap-5173	943	35	re	re	PROPN
ap-5173	943	36	0	0	NUM
ap-5173	943	37	.	.	PUNCT
ap-5173	944	1	73	73	NUM
ap-5173	945	1	92	92	NUM
ap-5173	945	2	0	0	NUM
ap-5173	945	3	.	.	PUNCT
ap-5173	946	1	54	54	NUM
ap-5173	946	2	64	64	NUM
ap-5173	946	3	22	22	NUM
ap-5173	946	4	.6	.6	NUM
ap-5173	946	5	56	56	NUM
ap-5173	946	6	9	9	NUM
ap-5173	946	7	13	13	NUM
ap-5173	946	8	.0	.0	NUM
ap-5173	946	9	27	27	NUM
ap-5173	946	10	1	1	NUM
ap-5173	946	11	28	28	NUM
ap-5173	946	12	.0	.0	NUM
ap-5173	946	13	10	10	NUM
ap-5173	946	14	8	8	NUM
ap-5173	946	15	4	4	NUM
ap-5173	946	16	.	.	NUM
ap-5173	946	17	44	44	NUM
ap-5173	946	18	44	44	NUM
ap-5173	946	19	2	2	NUM
ap-5173	946	20	.	.	PUNCT
ap-5173	946	21	10	10	NUM
ap-5173	946	22	82	82	NUM
ap-5173	946	23	7	7	NUM
ap-5173	946	24	.	.	PUNCT
ap-5173	947	1	58	58	NUM
ap-5173	947	2	02	02	NUM
ap-5173	947	3	m	m	NOUN
ap-5173	947	4	a	a	DET
ap-5173	947	5	r	r	NOUN
ap-5173	947	6	s	s	NOUN
ap-5173	947	7	,	,	PUNCT
ap-5173	947	8	pi	pi	PROPN
ap-5173	947	9	ec	ec	PROPN
ap-5173	947	10	ew	ew	PROPN
ap-5173	947	11	ise	ise	PROPN
ap-5173	947	12	-li	-li	PROPN
ap-5173	947	13	ne	ne	PROPN
ap-5173	947	14	ar	ar	PROPN
ap-5173	947	15	,	,	PUNCT
ap-5173	947	16	1	1	NUM
ap-5173	947	17	5	5	NUM
ap-5173	947	18	bf	bf	NOUN
ap-5173	947	19	s	s	PROPN
ap-5173	947	20	a	a	DET
ap-5173	947	21	ir	ir	NOUN
ap-5173	947	22	,	,	PUNCT
ap-5173	947	23	o	o	NOUN
ap-5173	947	24	2	2	NUM
ap-5173	947	25	0	0	NUM
ap-5173	947	26	.	.	PUNCT
ap-5173	948	1	79	79	NUM
ap-5173	948	2	91	91	NUM
ap-5173	948	3	0	0	NUM
ap-5173	948	4	.	.	PUNCT
ap-5173	949	1	63	63	NUM
ap-5173	949	2	86	86	NUM
ap-5173	949	3	20	20	NUM
ap-5173	949	4	.1	.1	NUM
ap-5173	949	5	96	96	NUM
ap-5173	949	6	5	5	NUM
ap-5173	949	7	11	11	NUM
ap-5173	949	8	.2	.2	NUM
ap-5173	949	9	25	25	NUM
ap-5173	949	10	6	6	NUM
ap-5173	949	11	23	23	NUM
ap-5173	949	12	.0	.0	NUM
ap-5173	949	13	08	08	NUM
ap-5173	949	14	4	4	NUM
ap-5173	949	15	3	3	NUM
ap-5173	949	16	.	.	X
ap-5173	950	1	53	53	NUM
ap-5173	950	2	16	16	NUM
ap-5173	950	3	1	1	NUM
ap-5173	950	4	.	.	PUNCT
ap-5173	951	1	87	87	NUM
ap-5173	951	2	92	92	NUM
ap-5173	951	3	9	9	NUM
ap-5173	951	4	.	.	PUNCT
ap-5173	952	1	16	16	NUM
ap-5173	952	2	35	35	NUM
ap-5173	952	3	m	m	NOUN
ap-5173	952	4	a	a	DET
ap-5173	952	5	r	r	NOUN
ap-5173	952	6	s	s	NOUN
ap-5173	952	7	,	,	PUNCT
ap-5173	952	8	pi	pi	PROPN
ap-5173	952	9	ec	ec	PROPN
ap-5173	952	10	ew	ew	PROPN
ap-5173	952	11	ise	ise	PROPN
ap-5173	952	12	-li	-li	PROPN
ap-5173	952	13	ne	ne	PROPN
ap-5173	952	14	ar	ar	PROPN
ap-5173	952	15	,	,	PUNCT
ap-5173	952	16	1	1	NUM
ap-5173	952	17	7	7	NUM
ap-5173	952	18	bf	bf	NOUN
ap-5173	952	19	s	s	PROPN
ap-5173	952	20	a	a	DET
ap-5173	952	21	ir	ir	NOUN
ap-5173	952	22	,	,	PUNCT
ap-5173	952	23	o	o	NOUN
ap-5173	952	24	2	2	NUM
ap-5173	952	25	,	,	PUNCT
ap-5173	952	26	o	o	PROPN
ap-5173	952	27	ut	ut	PROPN
ap-5173	952	28	le	le	PROPN
ap-5173	952	29	t	t	PROPN
ap-5173	952	30	pr	pr	NOUN
ap-5173	952	31	es	es	X
ap-5173	952	32	su	su	PROPN
ap-5173	952	33	re	re	PROPN
ap-5173	952	34	0	0	NUM
ap-5173	952	35	.	.	PUNCT
ap-5173	953	1	87	87	NUM
ap-5173	953	2	30	30	NUM
ap-5173	953	3	0	0	NUM
ap-5173	953	4	.	.	PUNCT
ap-5173	954	1	76	76	NUM
ap-5173	954	2	21	21	NUM
ap-5173	954	3	16	16	NUM
ap-5173	954	4	.3	.3	NUM
ap-5173	954	5	86	86	NUM
ap-5173	954	6	6	6	NUM
ap-5173	954	7	8	8	NUM
ap-5173	954	8	.	.	PUNCT
ap-5173	955	1	74	74	NUM
ap-5173	955	2	89	89	NUM
ap-5173	955	3	16	16	NUM
ap-5173	955	4	.5	.5	NUM
ap-5173	955	5	88	88	NUM
ap-5173	955	6	3	3	NUM
ap-5173	955	7	2	2	NUM
ap-5173	955	8	.	.	NUM
ap-5173	955	9	32	32	NUM
ap-5173	955	10	49	49	NUM
ap-5173	955	11	1	1	NUM
ap-5173	955	12	.	.	PUNCT
ap-5173	955	13	52	52	NUM
ap-5173	955	14	47	47	NUM
ap-5173	955	15	13	13	NUM
ap-5173	955	16	.4	.4	NUM
ap-5173	955	17	41	41	NUM
ap-5173	955	18	0	0	NUM
ap-5173	955	19	sv	sv	NOUN
ap-5173	955	20	r	r	NOUN
ap-5173	955	21	,	,	PUNCT
ap-5173	955	22	g	g	PROPN
ap-5173	955	23	au	au	PROPN
ap-5173	955	24	ss	ss	PROPN
ap-5173	955	25	ia	ia	PROPN
ap-5173	955	26	n	n	PROPN
ap-5173	955	27	ke	ke	PROPN
ap-5173	955	28	rn	rn	PROPN
ap-5173	955	29	el	el	PROPN
ap-5173	955	30	a	a	PROPN
ap-5173	955	31	ir	ir	PROPN
ap-5173	955	32	,	,	PUNCT
ap-5173	955	33	o	o	NOUN
ap-5173	955	34	2	2	NUM
ap-5173	955	35	0	0	NUM
ap-5173	955	36	.	.	PUNCT
ap-5173	955	37	78	78	NUM
ap-5173	955	38	68	68	NUM
ap-5173	955	39	0	0	NUM
ap-5173	955	40	.	.	PUNCT
ap-5173	956	1	61	61	NUM
ap-5173	956	2	90	90	NUM
ap-5173	956	3	21	21	NUM
ap-5173	956	4	.0	.0	NUM
ap-5173	956	5	84	84	NUM
ap-5173	956	6	8	8	NUM
ap-5173	956	7	11	11	NUM
ap-5173	956	8	.8	.8	NUM
ap-5173	956	9	00	00	NUM
ap-5173	956	10	6	6	NUM
ap-5173	956	11	22	22	NUM
ap-5173	956	12	.3	.3	NUM
ap-5173	956	13	99	99	NUM
ap-5173	956	14	0	0	NUM
ap-5173	956	15	3	3	NUM
ap-5173	956	16	.	.	NOUN
ap-5173	956	17	84	84	NUM
ap-5173	956	18	91	91	NUM
ap-5173	956	19	1	1	NUM
ap-5173	956	20	.	.	PUNCT
ap-5173	956	21	96	96	NUM
ap-5173	956	22	19	19	NUM
ap-5173	956	23	0	0	NUM
ap-5173	956	24	.	.	PUNCT
ap-5173	957	1	51	51	NUM
ap-5173	957	2	78	78	NUM
ap-5173	957	3	sv	sv	NOUN
ap-5173	957	4	r	r	NOUN
ap-5173	957	5	,	,	PUNCT
ap-5173	957	6	g	g	PROPN
ap-5173	957	7	au	au	PROPN
ap-5173	957	8	ss	ss	PROPN
ap-5173	957	9	ia	ia	PROPN
ap-5173	957	10	n	n	PROPN
ap-5173	957	11	ke	ke	PROPN
ap-5173	957	12	rn	rn	PROPN
ap-5173	957	13	el	el	PROPN
ap-5173	957	14	a	a	PROPN
ap-5173	957	15	ir	ir	PROPN
ap-5173	957	16	,	,	PUNCT
ap-5173	957	17	o	o	NOUN
ap-5173	957	18	2	2	NUM
ap-5173	957	19	,	,	PUNCT
ap-5173	957	20	o	o	PROPN
ap-5173	957	21	ut	ut	PROPN
ap-5173	957	22	le	le	PROPN
ap-5173	957	23	t	t	PROPN
ap-5173	957	24	pr	pr	NOUN
ap-5173	957	25	es	es	X
ap-5173	957	26	su	su	PROPN
ap-5173	957	27	re	re	PROPN
ap-5173	957	28	0	0	NUM
ap-5173	957	29	.	.	PUNCT
ap-5173	957	30	91	91	NUM
ap-5173	957	31	30	30	NUM
ap-5173	957	32	0	0	NUM
ap-5173	957	33	.	.	PUNCT
ap-5173	957	34	83	83	NUM
ap-5173	957	35	35	35	NUM
ap-5173	957	36	13	13	NUM
ap-5173	957	37	.7	.7	NUM
ap-5173	957	38	89	89	NUM
ap-5173	957	39	6	6	NUM
ap-5173	957	40	7	7	NUM
ap-5173	957	41	.	.	NOUN
ap-5173	957	42	20	20	NUM
ap-5173	957	43	85	85	NUM
ap-5173	957	44	9	9	NUM
ap-5173	957	45	.	.	PUNCT
ap-5173	958	1	99	99	NUM
ap-5173	958	2	55	55	NUM
ap-5173	958	3	1	1	NUM
ap-5173	958	4	.	.	NUM
ap-5173	958	5	64	64	NUM
ap-5173	958	6	63	63	NUM
ap-5173	958	7	1	1	NUM
ap-5173	958	8	.	.	PUNCT
ap-5173	959	1	28	28	NUM
ap-5173	959	2	31	31	NUM
ap-5173	959	3	0	0	NUM
ap-5173	959	4	.	.	PUNCT
ap-5173	960	1	54	54	NUM
ap-5173	960	2	46	46	NUM
ap-5173	960	3	table	table	NOUN
ap-5173	960	4	10	10	NUM
ap-5173	960	5	.	.	PUNCT
ap-5173	961	1	overall	overall	ADJ
ap-5173	961	2	results	result	NOUN
ap-5173	961	3	from	from	ADP
ap-5173	961	4	the	the	DET
ap-5173	961	5	training	training	NOUN
ap-5173	961	6	phase	phase	NOUN
ap-5173	961	7	.	.	PUNCT
ap-5173	962	1	347	347	NUM
ap-5173	962	2	j.	j.	PROPN
ap-5173	962	3	kačur	kačur	PROPN
ap-5173	962	4	,	,	PUNCT
ap-5173	962	5	m.	m.	PROPN
ap-5173	962	6	durdán	durdán	PROPN
ap-5173	962	7	,	,	PUNCT
ap-5173	962	8	m.	m.	NOUN
ap-5173	962	9	laciak	laciak	NOUN
ap-5173	962	10	,	,	PUNCT
ap-5173	962	11	p.	p.	PROPN
ap-5173	962	12	flegner	flegner	PROPN
ap-5173	962	13	acta	acta	PROPN
ap-5173	962	14	polytechnica	polytechnica	PROPN
ap-5173	962	15	pr	pr	NOUN
ap-5173	962	16	ed	ed	NOUN
ap-5173	962	17	ic	ic	PROPN
ap-5173	962	18	ed	ed	PROPN
ap-5173	962	19	va	va	PROPN
ap-5173	962	20	ria	ria	PROPN
ap-5173	962	21	bl	bl	PROPN
ap-5173	962	22	e	e	PROPN
ap-5173	962	23	m	m	VERB
ap-5173	962	24	et	et	NOUN
ap-5173	962	25	ho	ho	PROPN
ap-5173	962	26	d	d	X
ap-5173	962	27	o	o	X
ap-5173	962	28	bs	bs	INTJ
ap-5173	962	29	er	er	INTJ
ap-5173	962	30	va	va	NOUN
ap-5173	962	31	tio	tio	PROPN
ap-5173	962	32	ns	ns	INTJ
ap-5173	962	33	te	te	PROPN
ap-5173	962	34	st	st	PROPN
ap-5173	962	35	in	in	ADP
ap-5173	962	36	g	g	PROPN
ap-5173	962	37	r	r	NOUN
ap-5173	962	38	y	y	PROPN
ap-5173	962	39	y	y	PROPN
ap-5173	962	40	r2	r2	PROPN
ap-5173	962	41	y	y	PROPN
ap-5173	962	42	y	y	PROPN
ap-5173	962	43	r	r	NOUN
ap-5173	962	44	r	r	NOUN
ap-5173	962	45	m	m	VERB
ap-5173	962	46	se	se	X
ap-5173	962	47	(	(	PUNCT
ap-5173	962	48	%	%	NOUN
ap-5173	962	49	)	)	PUNCT
ap-5173	962	50	pi	pi	NOUN
ap-5173	962	51	m	m	PROPN
ap-5173	962	52	a	a	DET
ap-5173	962	53	pe	pe	X
ap-5173	962	54	(	(	PUNCT
ap-5173	962	55	%	%	NOUN
ap-5173	962	56	)	)	PUNCT
ap-5173	962	57	m	m	VERB
ap-5173	962	58	se	se	INTJ
ap-5173	962	59	r	r	NOUN
ap-5173	962	60	m	m	VERB
ap-5173	962	61	se	se	PROPN
ap-5173	962	62	te	te	ADP
ap-5173	962	63	m	m	PROPN
ap-5173	962	64	pe	pe	INTJ
ap-5173	962	65	ra	ra	PROPN
ap-5173	962	66	tu	tu	PROPN
ap-5173	962	67	re	re	PROPN
ap-5173	962	68	bp	bp	PROPN
ap-5173	962	69	n	n	PROPN
ap-5173	962	70	n	n	PROPN
ap-5173	962	71	,	,	PUNCT
ap-5173	962	72	l	l	PROPN
ap-5173	962	73	ay	ay	INTJ
ap-5173	962	74	er	er	INTJ
ap-5173	962	75	s	s	X
ap-5173	962	76	:	:	PUNCT
ap-5173	962	77	2	2	NUM
ap-5173	962	78	,	,	PUNCT
ap-5173	962	79	n	n	CCONJ
ap-5173	962	80	eu	eu	PROPN
ap-5173	962	81	ro	ro	PROPN
ap-5173	962	82	ns	ns	NUM
ap-5173	962	83	:	:	PUNCT
ap-5173	962	84	(	(	PUNCT
ap-5173	962	85	l	l	NOUN
ap-5173	962	86	1	1	NUM
ap-5173	962	87	:	:	PUNCT
ap-5173	962	88	l2	l2	NOUN
ap-5173	962	89	)	)	PUNCT
ap-5173	962	90	80	80	NUM
ap-5173	962	91	0	0	NUM
ap-5173	962	92	:	:	PUNCT
ap-5173	962	93	8	8	NUM
ap-5173	962	94	c	c	NOUN
ap-5173	962	95	o	o	NOUN
ap-5173	962	96	,	,	PUNCT
ap-5173	962	97	c	c	NOUN
ap-5173	962	98	o	o	NOUN
ap-5173	962	99	2	2	NUM
ap-5173	962	100	0	0	NUM
ap-5173	962	101	.	.	PUNCT
ap-5173	962	102	67	67	NUM
ap-5173	962	103	55	55	NUM
ap-5173	962	104	0	0	NUM
ap-5173	962	105	.	.	PUNCT
ap-5173	962	106	45	45	NUM
ap-5173	962	107	63	63	NUM
ap-5173	962	108	8	8	NUM
ap-5173	962	109	.	.	PUNCT
ap-5173	962	110	50	50	NUM
ap-5173	962	111	75	75	NUM
ap-5173	962	112	5	5	NUM
ap-5173	962	113	.	.	PUNCT
ap-5173	962	114	07	07	NUM
ap-5173	962	115	75	75	NUM
ap-5173	962	116	7	7	NUM
ap-5173	962	117	.	.	X
ap-5173	962	118	45	45	NUM
ap-5173	962	119	26	26	NUM
ap-5173	962	120	66	66	NUM
ap-5173	962	121	62	62	NUM
ap-5173	962	122	.3	.3	NUM
ap-5173	962	123	75	75	NUM
ap-5173	962	124	9	9	NUM
ap-5173	962	125	81	81	NUM
ap-5173	962	126	.6	.6	NUM
ap-5173	962	127	23	23	NUM
ap-5173	962	128	4	4	NUM
ap-5173	962	129	bp	bp	NOUN
ap-5173	962	130	n	n	NUM
ap-5173	962	131	n	n	NOUN
ap-5173	962	132	,	,	PUNCT
ap-5173	962	133	l	l	NOUN
ap-5173	962	134	ay	ay	INTJ
ap-5173	962	135	er	er	INTJ
ap-5173	962	136	:	:	PUNCT
ap-5173	962	137	1	1	NUM
ap-5173	962	138	,	,	PUNCT
ap-5173	962	139	n	n	CCONJ
ap-5173	962	140	eu	eu	PROPN
ap-5173	962	141	ro	ro	PROPN
ap-5173	962	142	ns	ns	PROPN
ap-5173	962	143	(	(	PUNCT
ap-5173	962	144	l	l	NOUN
ap-5173	962	145	1	1	NUM
ap-5173	962	146	)	)	PUNCT
ap-5173	962	147	11	11	NUM
ap-5173	962	148	c	c	NOUN
ap-5173	962	149	o	o	NOUN
ap-5173	962	150	,	,	PUNCT
ap-5173	962	151	c	c	NOUN
ap-5173	962	152	o	o	NOUN
ap-5173	962	153	2	2	NUM
ap-5173	962	154	,	,	PUNCT
ap-5173	962	155	h	h	NOUN
ap-5173	962	156	2	2	NUM
ap-5173	962	157	,	,	PUNCT
ap-5173	962	158	c	c	NOUN
ap-5173	962	159	h	h	NOUN
ap-5173	962	160	4	4	NUM
ap-5173	962	161	,	,	PUNCT
ap-5173	962	162	o	o	NOUN
ap-5173	962	163	2	2	NUM
ap-5173	962	164	0	0	NUM
ap-5173	962	165	.	.	PUNCT
ap-5173	962	166	67	67	NUM
ap-5173	962	167	87	87	NUM
ap-5173	962	168	0	0	NUM
ap-5173	962	169	.	.	PUNCT
ap-5173	963	1	46	46	NUM
ap-5173	963	2	06	06	NUM
ap-5173	963	3	7	7	NUM
ap-5173	963	4	.	.	X
ap-5173	963	5	43	43	NUM
ap-5173	963	6	01	01	NUM
ap-5173	963	7	4	4	NUM
ap-5173	963	8	.	.	PUNCT
ap-5173	964	1	42	42	NUM
ap-5173	964	2	61	61	NUM
ap-5173	964	3	5	5	NUM
ap-5173	964	4	.	.	PUNCT
ap-5173	964	5	81	81	NUM
ap-5173	964	6	29	29	NUM
ap-5173	964	7	50	50	NUM
ap-5173	964	8	81	81	NUM
ap-5173	964	9	.7	.7	NUM
ap-5173	964	10	73	73	NUM
ap-5173	964	11	2	2	NUM
ap-5173	964	12	71	71	NUM
ap-5173	964	13	.2	.2	NUM
ap-5173	964	14	86	86	NUM
ap-5173	964	15	6	6	NUM
ap-5173	964	16	m	m	NOUN
ap-5173	964	17	a	a	DET
ap-5173	964	18	r	r	NOUN
ap-5173	964	19	s	s	NOUN
ap-5173	964	20	,	,	PUNCT
ap-5173	964	21	pi	pi	PROPN
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ap-5173	964	23	ew	ew	PROPN
ap-5173	964	24	ise	ise	PROPN
ap-5173	964	25	-li	-li	PROPN
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ap-5173	964	28	,	,	PUNCT
ap-5173	964	29	1	1	NUM
ap-5173	964	30	6	6	NUM
ap-5173	964	31	bf	bf	NOUN
ap-5173	964	32	s	s	PART
ap-5173	964	33	c	c	NOUN
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ap-5173	964	35	,	,	PUNCT
ap-5173	964	36	c	c	NOUN
ap-5173	964	37	o	o	NOUN
ap-5173	964	38	2	2	NUM
ap-5173	964	39	0	0	NUM
ap-5173	964	40	.	.	PUNCT
ap-5173	964	41	32	32	NUM
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ap-5173	964	43	0	0	NUM
ap-5173	964	44	.	.	PUNCT
ap-5173	965	1	10	10	NUM
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ap-5173	965	5	82	82	NUM
ap-5173	965	6	4	4	NUM
ap-5173	965	7	8	8	NUM
ap-5173	965	8	.	.	PUNCT
ap-5173	965	9	04	04	NUM
ap-5173	966	1	27	27	NUM
ap-5173	966	2	9	9	NUM
ap-5173	966	3	.	.	PUNCT
ap-5173	967	1	16	16	NUM
ap-5173	967	2	29	29	NUM
ap-5173	967	3	10	10	NUM
ap-5173	967	4	50	50	NUM
ap-5173	967	5	4	4	NUM
ap-5173	967	6	.	.	SYM
ap-5173	967	7	30	30	NUM
ap-5173	967	8	10	10	NUM
ap-5173	967	9	10	10	NUM
ap-5173	967	10	2	2	NUM
ap-5173	967	11	.	.	NUM
ap-5173	967	12	49	49	NUM
ap-5173	967	13	05	05	NUM
ap-5173	967	14	m	m	VERB
ap-5173	967	15	a	a	DET
ap-5173	967	16	r	r	NOUN
ap-5173	967	17	s	s	NOUN
ap-5173	967	18	,	,	PUNCT
ap-5173	967	19	pi	pi	PROPN
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ap-5173	967	21	ew	ew	PROPN
ap-5173	967	22	ise	ise	PROPN
ap-5173	968	1	-c	-c	PUNCT
ap-5173	968	2	ub	ub	INTJ
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ap-5173	968	4	,	,	PUNCT
ap-5173	968	5	2	2	NUM
ap-5173	968	6	0	0	NUM
ap-5173	968	7	bf	bf	NOUN
ap-5173	968	8	s	s	PART
ap-5173	968	9	c	c	NOUN
ap-5173	968	10	o	o	NOUN
ap-5173	968	11	,	,	PUNCT
ap-5173	968	12	c	c	NOUN
ap-5173	968	13	o	o	NOUN
ap-5173	968	14	2	2	NUM
ap-5173	968	15	,	,	PUNCT
ap-5173	968	16	h	h	NOUN
ap-5173	968	17	2	2	NUM
ap-5173	968	18	,	,	PUNCT
ap-5173	968	19	c	c	NOUN
ap-5173	968	20	h	h	NOUN
ap-5173	968	21	4	4	NUM
ap-5173	968	22	,	,	PUNCT
ap-5173	968	23	o	o	NOUN
ap-5173	968	24	2	2	NUM
ap-5173	968	25	0	0	NUM
ap-5173	968	26	.	.	PUNCT
ap-5173	969	1	60	60	NUM
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ap-5173	969	3	0	0	NUM
ap-5173	969	4	.	.	PUNCT
ap-5173	970	1	36	36	NUM
ap-5173	970	2	37	37	NUM
ap-5173	970	3	6	6	NUM
ap-5173	970	4	.	.	PUNCT
ap-5173	971	1	42	42	NUM
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ap-5173	971	3	4	4	NUM
ap-5173	971	4	.	.	PUNCT
ap-5173	971	5	00	00	NUM
ap-5173	971	6	94	94	NUM
ap-5173	971	7	5	5	NUM
ap-5173	971	8	.	.	PUNCT
ap-5173	971	9	16	16	NUM
ap-5173	971	10	23	23	NUM
ap-5173	971	11	38	38	NUM
ap-5173	971	12	02	02	NUM
ap-5173	971	13	.8	.8	NUM
ap-5173	971	14	74	74	NUM
ap-5173	971	15	7	7	NUM
ap-5173	971	16	61	61	NUM
ap-5173	971	17	.6	.6	NUM
ap-5173	971	18	67	67	NUM
ap-5173	971	19	5	5	NUM
ap-5173	971	20	sv	sv	NOUN
ap-5173	971	21	r	r	NOUN
ap-5173	971	22	,	,	PUNCT
ap-5173	971	23	l	l	NOUN
ap-5173	971	24	in	in	ADP
ap-5173	971	25	ea	ea	PROPN
ap-5173	971	26	r	r	NOUN
ap-5173	971	27	ke	ke	PROPN
ap-5173	971	28	rn	rn	PROPN
ap-5173	971	29	el	el	PROPN
ap-5173	971	30	c	c	PROPN
ap-5173	972	1	o	o	INTJ
ap-5173	972	2	,	,	PUNCT
ap-5173	972	3	c	c	NOUN
ap-5173	972	4	o	o	NOUN
ap-5173	972	5	2	2	NUM
ap-5173	972	6	0	0	NUM
ap-5173	972	7	.	.	PUNCT
ap-5173	972	8	36	36	NUM
ap-5173	972	9	50	50	NUM
ap-5173	972	10	0	0	NUM
ap-5173	972	11	.	.	PUNCT
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ap-5173	972	15	.	.	PUNCT
ap-5173	973	1	45	45	NUM
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ap-5173	973	3	6	6	NUM
ap-5173	973	4	.	.	NOUN
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ap-5173	973	8	.	.	NUM
ap-5173	973	9	21	21	NUM
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ap-5173	973	11	65	65	NUM
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ap-5173	973	13	.6	.6	NUM
ap-5173	973	14	16	16	NUM
ap-5173	973	15	5	5	NUM
ap-5173	973	16	81	81	NUM
ap-5173	973	17	.1	.1	NUM
ap-5173	973	18	08	08	NUM
ap-5173	973	19	7	7	NUM
ap-5173	973	20	sv	sv	NOUN
ap-5173	973	21	r	r	NOUN
ap-5173	973	22	,	,	PUNCT
ap-5173	973	23	g	g	PROPN
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ap-5173	973	25	ss	ss	PROPN
ap-5173	973	26	ia	ia	PROPN
ap-5173	973	27	n	n	PROPN
ap-5173	973	28	ke	ke	PROPN
ap-5173	973	29	rn	rn	PROPN
ap-5173	973	30	el	el	PROPN
ap-5173	974	1	c	c	PROPN
ap-5173	974	2	o	o	INTJ
ap-5173	974	3	,	,	PUNCT
ap-5173	974	4	c	c	NOUN
ap-5173	974	5	o	o	NOUN
ap-5173	974	6	2	2	NUM
ap-5173	974	7	,	,	PUNCT
ap-5173	974	8	h	h	NOUN
ap-5173	974	9	2	2	NUM
ap-5173	974	10	,	,	PUNCT
ap-5173	974	11	c	c	NOUN
ap-5173	974	12	h	h	NOUN
ap-5173	974	13	4	4	NUM
ap-5173	974	14	,	,	PUNCT
ap-5173	974	15	o	o	NOUN
ap-5173	974	16	2	2	NUM
ap-5173	974	17	0	0	NUM
ap-5173	974	18	.	.	PUNCT
ap-5173	975	1	69	69	NUM
ap-5173	975	2	13	13	NUM
ap-5173	975	3	0	0	NUM
ap-5173	975	4	.	.	PUNCT
ap-5173	976	1	47	47	NUM
ap-5173	976	2	79	79	NUM
ap-5173	976	3	7	7	NUM
ap-5173	976	4	.	.	X
ap-5173	976	5	90	90	NUM
ap-5173	976	6	51	51	NUM
ap-5173	976	7	4	4	NUM
ap-5173	976	8	.	.	NOUN
ap-5173	976	9	67	67	NUM
ap-5173	976	10	40	40	NUM
ap-5173	976	11	6	6	NUM
ap-5173	976	12	.	.	PUNCT
ap-5173	977	1	96	96	NUM
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ap-5173	977	4	52	52	NUM
ap-5173	977	5	.3	.3	NUM
ap-5173	977	6	31	31	NUM
ap-5173	977	7	7	7	NUM
ap-5173	977	8	75	75	NUM
ap-5173	977	9	.8	.8	NUM
ap-5173	977	10	44	44	NUM
ap-5173	977	11	1	1	NUM
ap-5173	977	12	c	c	NOUN
ap-5173	977	13	al	al	PROPN
ap-5173	977	14	or	or	CCONJ
ap-5173	977	15	ifi	ifi	PROPN
ap-5173	977	16	c	c	PROPN
ap-5173	977	17	va	va	PROPN
ap-5173	977	18	lu	lu	PROPN
ap-5173	977	19	e	e	PROPN
ap-5173	977	20	bp	bp	PROPN
ap-5173	977	21	n	n	CCONJ
ap-5173	977	22	n	n	PROPN
ap-5173	977	23	,	,	PUNCT
ap-5173	977	24	l	l	NOUN
ap-5173	977	25	ay	ay	INTJ
ap-5173	978	1	er	er	INTJ
ap-5173	978	2	:	:	PUNCT
ap-5173	978	3	1	1	NUM
ap-5173	978	4	,	,	PUNCT
ap-5173	978	5	n	n	CCONJ
ap-5173	978	6	eu	eu	PROPN
ap-5173	978	7	ro	ro	PROPN
ap-5173	978	8	ns	ns	PROPN
ap-5173	978	9	(	(	PUNCT
ap-5173	978	10	l	l	NOUN
ap-5173	978	11	1	1	NUM
ap-5173	978	12	)	)	PUNCT
ap-5173	978	13	5	5	NUM
ap-5173	978	14	a	a	DET
ap-5173	978	15	ir	ir	NOUN
ap-5173	978	16	,	,	PUNCT
ap-5173	978	17	o	o	NOUN
ap-5173	978	18	2	2	NUM
ap-5173	978	19	0	0	NUM
ap-5173	978	20	.	.	PUNCT
ap-5173	978	21	04	04	NUM
ap-5173	978	22	01	01	NUM
ap-5173	978	23	0	0	NUM
ap-5173	978	24	.	.	PUNCT
ap-5173	978	25	00	00	NUM
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ap-5173	979	3	.8	.8	NUM
ap-5173	979	4	08	08	NUM
ap-5173	979	5	2	2	NUM
ap-5173	979	6	19	19	NUM
ap-5173	979	7	.0	.0	NUM
ap-5173	979	8	44	44	NUM
ap-5173	979	9	5	5	NUM
ap-5173	979	10	22	22	NUM
ap-5173	979	11	.9	.9	NUM
ap-5173	979	12	76	76	NUM
ap-5173	979	13	6	6	NUM
ap-5173	979	14	5	5	NUM
ap-5173	979	15	.	.	PUNCT
ap-5173	979	16	25	25	NUM
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ap-5173	979	18	2	2	NUM
ap-5173	979	19	.	.	NOUN
ap-5173	979	20	29	29	NUM
ap-5173	979	21	30	30	NUM
ap-5173	979	22	bp	bp	PROPN
ap-5173	979	23	n	n	NUM
ap-5173	979	24	n	n	NOUN
ap-5173	979	25	,	,	PUNCT
ap-5173	979	26	l	l	NOUN
ap-5173	979	27	ay	ay	INTJ
ap-5173	980	1	er	er	INTJ
ap-5173	980	2	:	:	PUNCT
ap-5173	980	3	1	1	NUM
ap-5173	980	4	,	,	PUNCT
ap-5173	980	5	n	n	CCONJ
ap-5173	980	6	eu	eu	PROPN
ap-5173	980	7	ro	ro	PROPN
ap-5173	980	8	ns	ns	PROPN
ap-5173	980	9	(	(	PUNCT
ap-5173	980	10	l	l	NOUN
ap-5173	980	11	1	1	NUM
ap-5173	980	12	)	)	PUNCT
ap-5173	980	13	7	7	NUM
ap-5173	980	14	a	a	DET
ap-5173	980	15	ir	ir	NOUN
ap-5173	980	16	,	,	PUNCT
ap-5173	980	17	o	o	NOUN
ap-5173	980	18	2	2	NUM
ap-5173	980	19	,	,	PUNCT
ap-5173	980	20	o	o	PROPN
ap-5173	980	21	ut	ut	PROPN
ap-5173	980	22	le	le	PROPN
ap-5173	980	23	t	t	PROPN
ap-5173	980	24	pr	pr	NOUN
ap-5173	980	25	es	es	X
ap-5173	980	26	su	su	PROPN
ap-5173	980	27	re	re	PROPN
ap-5173	980	28	0	0	NUM
ap-5173	980	29	.	.	PUNCT
ap-5173	980	30	71	71	NUM
ap-5173	980	31	87	87	NUM
ap-5173	980	32	0	0	NUM
ap-5173	980	33	.	.	PUNCT
ap-5173	981	1	51	51	NUM
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ap-5173	981	3	15	15	NUM
ap-5173	981	4	.8	.8	NUM
ap-5173	981	5	21	21	NUM
ap-5173	981	6	9	9	NUM
ap-5173	981	7	9	9	NUM
ap-5173	981	8	.	.	NOUN
ap-5173	981	9	20	20	NUM
ap-5173	981	10	55	55	NUM
ap-5173	981	11	16	16	NUM
ap-5173	981	12	.8	.8	NUM
ap-5173	981	13	80	80	NUM
ap-5173	981	14	4	4	NUM
ap-5173	981	15	3	3	NUM
ap-5173	981	16	.	.	NOUN
ap-5173	981	17	35	35	NUM
ap-5173	981	18	46	46	NUM
ap-5173	981	19	1	1	NUM
ap-5173	981	20	.	.	NUM
ap-5173	981	21	83	83	NUM
ap-5173	981	22	16	16	NUM
ap-5173	981	23	m	m	NOUN
ap-5173	981	24	a	a	DET
ap-5173	981	25	r	r	NOUN
ap-5173	981	26	s	s	NOUN
ap-5173	981	27	,	,	PUNCT
ap-5173	981	28	pi	pi	PROPN
ap-5173	981	29	ec	ec	PROPN
ap-5173	981	30	ew	ew	PROPN
ap-5173	981	31	ise	ise	PROPN
ap-5173	981	32	-li	-li	PROPN
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ap-5173	981	34	ar	ar	PROPN
ap-5173	981	35	,	,	PUNCT
ap-5173	981	36	1	1	NUM
ap-5173	981	37	5	5	NUM
ap-5173	981	38	bf	bf	NOUN
ap-5173	981	39	s	s	PROPN
ap-5173	981	40	a	a	DET
ap-5173	981	41	ir	ir	NOUN
ap-5173	981	42	,	,	PUNCT
ap-5173	981	43	o	o	NOUN
ap-5173	981	44	2	2	NUM
ap-5173	981	45	0	0	NUM
ap-5173	981	46	.	.	PUNCT
ap-5173	981	47	04	04	NUM
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ap-5173	982	2	0	0	NUM
ap-5173	982	3	.	.	PUNCT
ap-5173	982	4	00	00	NUM
ap-5173	983	1	18	18	NUM
ap-5173	983	2	80	80	NUM
ap-5173	983	3	.7	.7	NUM
ap-5173	983	4	36	36	NUM
ap-5173	983	5	5	5	NUM
ap-5173	983	6	77	77	NUM
ap-5173	983	7	.4	.4	NUM
ap-5173	983	8	89	89	NUM
ap-5173	983	9	7	7	NUM
ap-5173	983	10	30	30	NUM
ap-5173	983	11	.3	.3	NUM
ap-5173	983	12	19	19	NUM
ap-5173	983	13	3	3	NUM
ap-5173	983	14	87	87	NUM
ap-5173	983	15	.3	.3	NUM
ap-5173	983	16	50	50	NUM
ap-5173	983	17	0	0	NUM
ap-5173	983	18	9	9	NUM
ap-5173	983	19	.	.	PUNCT
ap-5173	984	1	34	34	NUM
ap-5173	984	2	61	61	NUM
ap-5173	984	3	m	m	NOUN
ap-5173	984	4	a	a	DET
ap-5173	984	5	r	r	NOUN
ap-5173	984	6	s	s	NOUN
ap-5173	984	7	,	,	PUNCT
ap-5173	984	8	pi	pi	PROPN
ap-5173	984	9	ec	ec	PROPN
ap-5173	984	10	ew	ew	PROPN
ap-5173	984	11	ise	ise	PROPN
ap-5173	985	1	-c	-c	PUNCT
ap-5173	985	2	ub	ub	INTJ
ap-5173	985	3	ic	ic	INTJ
ap-5173	985	4	,	,	PUNCT
ap-5173	985	5	1	1	NUM
ap-5173	985	6	8	8	NUM
ap-5173	985	7	bf	bf	NOUN
ap-5173	985	8	s	s	PROPN
ap-5173	985	9	a	a	DET
ap-5173	985	10	ir	ir	NOUN
ap-5173	985	11	,	,	PUNCT
ap-5173	985	12	o	o	NOUN
ap-5173	985	13	2	2	NUM
ap-5173	985	14	,	,	PUNCT
ap-5173	985	15	o	o	PROPN
ap-5173	985	16	ut	ut	PROPN
ap-5173	985	17	le	le	PROPN
ap-5173	985	18	t	t	PROPN
ap-5173	985	19	pr	pr	NOUN
ap-5173	985	20	es	es	X
ap-5173	985	21	su	su	PROPN
ap-5173	985	22	re	re	PROPN
ap-5173	985	23	0	0	NUM
ap-5173	985	24	.	.	PUNCT
ap-5173	986	1	43	43	NUM
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ap-5173	986	3	0	0	NUM
ap-5173	986	4	.	.	PROPN
ap-5173	987	1	19	19	NUM
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ap-5173	987	4	.4	.4	NUM
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ap-5173	987	6	0	0	NUM
ap-5173	987	7	12	12	NUM
ap-5173	987	8	.1	.1	NUM
ap-5173	987	9	38	38	NUM
ap-5173	987	10	2	2	NUM
ap-5173	987	11	17	17	NUM
ap-5173	987	12	.8	.8	NUM
ap-5173	987	13	49	49	NUM
ap-5173	987	14	3	3	NUM
ap-5173	987	15	4	4	NUM
ap-5173	987	16	.	.	PUNCT
ap-5173	987	17	08	08	NUM
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ap-5173	987	19	2	2	NUM
ap-5173	987	20	.	.	PUNCT
ap-5173	987	21	02	02	NUM
ap-5173	987	22	14	14	NUM
ap-5173	987	23	sv	sv	NOUN
ap-5173	987	24	r	r	NOUN
ap-5173	987	25	,	,	PUNCT
ap-5173	987	26	g	g	PROPN
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ap-5173	987	34	a	a	PROPN
ap-5173	987	35	ir	ir	PROPN
ap-5173	987	36	,	,	PUNCT
ap-5173	987	37	o	o	NOUN
ap-5173	987	38	2	2	NUM
ap-5173	987	39	0	0	NUM
ap-5173	987	40	.	.	PUNCT
ap-5173	988	1	41	41	NUM
ap-5173	988	2	71	71	NUM
ap-5173	988	3	0	0	NUM
ap-5173	988	4	.	.	NUM
ap-5173	989	1	17	17	NUM
ap-5173	989	2	40	40	NUM
ap-5173	989	3	18	18	NUM
ap-5173	989	4	.9	.9	NUM
ap-5173	989	5	02	02	NUM
ap-5173	989	6	3	3	NUM
ap-5173	989	7	13	13	NUM
ap-5173	989	8	.3	.3	NUM
ap-5173	989	9	38	38	NUM
ap-5173	989	10	7	7	NUM
ap-5173	989	11	19	19	NUM
ap-5173	989	12	.4	.4	NUM
ap-5173	989	13	81	81	NUM
ap-5173	989	14	6	6	NUM
ap-5173	989	15	4	4	NUM
ap-5173	989	16	.	.	PUNCT
ap-5173	989	17	78	78	NUM
ap-5173	989	18	80	80	NUM
ap-5173	989	19	2	2	NUM
ap-5173	989	20	.	.	NUM
ap-5173	989	21	18	18	NUM
ap-5173	989	22	81	81	NUM
ap-5173	989	23	sv	sv	NOUN
ap-5173	989	24	r	r	NOUN
ap-5173	989	25	,	,	PUNCT
ap-5173	989	26	g	g	PROPN
ap-5173	989	27	au	au	PROPN
ap-5173	989	28	ss	ss	PROPN
ap-5173	989	29	ia	ia	PROPN
ap-5173	989	30	n	n	PROPN
ap-5173	989	31	ke	ke	PROPN
ap-5173	989	32	rn	rn	PROPN
ap-5173	989	33	el	el	PROPN
ap-5173	989	34	a	a	PROPN
ap-5173	989	35	ir	ir	PROPN
ap-5173	989	36	,	,	PUNCT
ap-5173	989	37	o	o	NOUN
ap-5173	989	38	2	2	NUM
ap-5173	989	39	,	,	PUNCT
ap-5173	989	40	o	o	PROPN
ap-5173	989	41	ut	ut	PROPN
ap-5173	989	42	le	le	PROPN
ap-5173	989	43	t	t	PROPN
ap-5173	989	44	pr	pr	NOUN
ap-5173	989	45	es	es	X
ap-5173	989	46	su	su	PROPN
ap-5173	989	47	re	re	PROPN
ap-5173	989	48	0	0	NUM
ap-5173	989	49	.	.	PUNCT
ap-5173	989	50	59	59	NUM
ap-5173	989	51	97	97	NUM
ap-5173	989	52	0	0	NUM
ap-5173	989	53	.	.	NOUN
ap-5173	989	54	35	35	NUM
ap-5173	989	55	96	96	NUM
ap-5173	989	56	13	13	NUM
ap-5173	989	57	.1	.1	NUM
ap-5173	989	58	47	47	NUM
ap-5173	989	59	1	1	NUM
ap-5173	989	60	8	8	NUM
ap-5173	989	61	.	.	PUNCT
ap-5173	989	62	21	21	NUM
ap-5173	989	63	84	84	NUM
ap-5173	989	64	11	11	NUM
ap-5173	989	65	.3	.3	NUM
ap-5173	989	66	80	80	NUM
ap-5173	989	67	8	8	NUM
ap-5173	989	68	2	2	NUM
ap-5173	989	69	.	.	NUM
ap-5173	989	70	31	31	NUM
ap-5173	989	71	62	62	NUM
ap-5173	989	72	1	1	NUM
ap-5173	989	73	.	.	NUM
ap-5173	989	74	52	52	NUM
ap-5173	989	75	19	19	NUM
ap-5173	989	76	table	table	NOUN
ap-5173	989	77	11	11	NUM
ap-5173	989	78	.	.	PUNCT
ap-5173	990	1	overall	overall	ADJ
ap-5173	990	2	results	result	NOUN
ap-5173	990	3	from	from	ADP
ap-5173	990	4	the	the	DET
ap-5173	990	5	testing	testing	NOUN
ap-5173	990	6	phase	phase	NOUN
ap-5173	990	7	.	.	PUNCT
ap-5173	991	1	348	348	NUM
ap-5173	991	2	vol	vol	NOUN
ap-5173	991	3	.	.	PUNCT
ap-5173	992	1	59	59	NUM
ap-5173	992	2	no	no	NOUN
ap-5173	992	3	.	.	PUNCT
ap-5173	993	1	4/2019	4/2019	NUM
ap-5173	993	2	a	a	DET
ap-5173	993	3	comparative	comparative	ADJ
ap-5173	993	4	study	study	NOUN
ap-5173	993	5	of	of	ADP
ap-5173	993	6	data	data	NOUN
ap-5173	993	7	-	-	PUNCT
ap-5173	993	8	driven	drive	VERB
ap-5173	993	9	modeling	modeling	NOUN
ap-5173	993	10	methods	method	NOUN
ap-5173	993	11	.	.	PUNCT
ap-5173	993	12	.	.	PUNCT
ap-5173	993	13	.	.	PUNCT
ap-5173	994	1	model	model	NOUN
ap-5173	994	2	fitting	fit	VERB
ap-5173	994	3	with	with	ADP
ap-5173	994	4	two	two	NUM
ap-5173	994	5	observations	observation	NOUN
ap-5173	994	6	,	,	PUNCT
ap-5173	994	7	slightly	slightly	ADV
ap-5173	994	8	better	well	ADJ
ap-5173	994	9	results	result	NOUN
ap-5173	994	10	for	for	ADP
ap-5173	994	11	training	training	NOUN
ap-5173	994	12	were	be	AUX
ap-5173	994	13	achieved	achieve	VERB
ap-5173	994	14	when	when	SCONJ
ap-5173	994	15	the	the	DET
ap-5173	994	16	piecewiselinear	piecewiselinear	ADJ
ap-5173	994	17	type	type	NOUN
ap-5173	994	18	of	of	ADP
ap-5173	994	19	the	the	DET
ap-5173	994	20	mars	mars	NOUN
ap-5173	994	21	model	model	NOUN
ap-5173	994	22	was	be	AUX
ap-5173	994	23	used	use	VERB
ap-5173	994	24	.	.	PUNCT
ap-5173	995	1	the	the	DET
ap-5173	995	2	mars	mars	PROPN
ap-5173	995	3	model	model	NOUN
ap-5173	995	4	also	also	ADV
ap-5173	995	5	had	have	VERB
ap-5173	995	6	the	the	DET
ap-5173	995	7	highest	high	ADJ
ap-5173	995	8	time	time	NOUN
ap-5173	995	9	consumption	consumption	NOUN
ap-5173	995	10	during	during	ADP
ap-5173	995	11	the	the	DET
ap-5173	995	12	training	training	NOUN
ap-5173	995	13	in	in	ADP
ap-5173	995	14	this	this	DET
ap-5173	995	15	case	case	NOUN
ap-5173	995	16	.	.	PUNCT
ap-5173	996	1	fitting	fit	VERB
ap-5173	996	2	the	the	DET
ap-5173	996	3	model	model	NOUN
ap-5173	996	4	of	of	ADP
ap-5173	996	5	the	the	DET
ap-5173	996	6	calorific	calorific	ADJ
ap-5173	996	7	value	value	NOUN
ap-5173	996	8	has	have	AUX
ap-5173	996	9	reached	reach	VERB
ap-5173	996	10	a	a	DET
ap-5173	996	11	worse	bad	ADJ
ap-5173	996	12	performance	performance	NOUN
ap-5173	996	13	on	on	ADP
ap-5173	996	14	average	average	ADJ
ap-5173	996	15	than	than	ADP
ap-5173	996	16	in	in	ADP
ap-5173	996	17	the	the	DET
ap-5173	996	18	case	case	NOUN
ap-5173	996	19	of	of	ADP
ap-5173	996	20	the	the	DET
ap-5173	996	21	temperature	temperature	NOUN
ap-5173	996	22	.	.	PUNCT
ap-5173	997	1	the	the	DET
ap-5173	997	2	higher	high	ADJ
ap-5173	997	3	performance	performance	NOUN
ap-5173	997	4	index	index	NOUN
ap-5173	997	5	in	in	ADP
ap-5173	997	6	the	the	DET
ap-5173	997	7	training	training	NOUN
ap-5173	997	8	phase	phase	NOUN
ap-5173	997	9	is	be	AUX
ap-5173	997	10	due	due	ADJ
ap-5173	997	11	to	to	ADP
ap-5173	997	12	the	the	DET
ap-5173	997	13	higher	high	ADJ
ap-5173	997	14	variability	variability	NOUN
ap-5173	997	15	of	of	ADP
ap-5173	997	16	inputs	input	NOUN
ap-5173	997	17	and	and	CCONJ
ap-5173	997	18	low	low	ADJ
ap-5173	997	19	correlation	correlation	NOUN
ap-5173	997	20	between	between	ADP
ap-5173	997	21	the	the	DET
ap-5173	997	22	inputs	input	NOUN
ap-5173	997	23	and	and	CCONJ
ap-5173	997	24	target	target	NOUN
ap-5173	997	25	.	.	PUNCT
ap-5173	998	1	the	the	DET
ap-5173	998	2	results	result	NOUN
ap-5173	998	3	of	of	ADP
ap-5173	998	4	fitting	fit	VERB
ap-5173	998	5	with	with	ADP
ap-5173	998	6	the	the	DET
ap-5173	998	7	bpnn	bpnn	NOUN
ap-5173	998	8	take	take	VERB
ap-5173	998	9	the	the	DET
ap-5173	998	10	third	third	ADJ
ap-5173	998	11	-	-	PUNCT
ap-5173	998	12	place	place	NOUN
ap-5173	998	13	,	,	PUNCT
ap-5173	998	14	because	because	SCONJ
ap-5173	998	15	of	of	ADP
ap-5173	998	16	the	the	DET
ap-5173	998	17	worst	bad	ADJ
ap-5173	998	18	performance	performance	NOUN
ap-5173	998	19	index	index	NOUN
ap-5173	998	20	(	(	PUNCT
ap-5173	998	21	pi	pi	NOUN
ap-5173	998	22	)	)	PUNCT
ap-5173	998	23	,	,	PUNCT
ap-5173	998	24	both	both	CCONJ
ap-5173	998	25	in	in	ADP
ap-5173	998	26	the	the	DET
ap-5173	998	27	case	case	NOUN
ap-5173	998	28	of	of	ADP
ap-5173	998	29	the	the	DET
ap-5173	998	30	calorific	calorific	ADJ
ap-5173	998	31	value	value	NOUN
ap-5173	998	32	and	and	CCONJ
ap-5173	998	33	the	the	DET
ap-5173	998	34	underground	underground	ADJ
ap-5173	998	35	temperature	temperature	NOUN
ap-5173	998	36	.	.	PUNCT
ap-5173	999	1	in	in	ADP
ap-5173	999	2	general	general	ADJ
ap-5173	999	3	,	,	PUNCT
ap-5173	999	4	to	to	PART
ap-5173	999	5	improve	improve	VERB
ap-5173	999	6	the	the	DET
ap-5173	999	7	performance	performance	NOUN
ap-5173	999	8	index	index	NOUN
ap-5173	999	9	in	in	ADP
ap-5173	999	10	the	the	DET
ap-5173	999	11	training	training	NOUN
ap-5173	999	12	phase	phase	NOUN
ap-5173	999	13	,	,	PUNCT
ap-5173	999	14	it	it	PRON
ap-5173	999	15	is	be	AUX
ap-5173	999	16	suggested	suggest	VERB
ap-5173	999	17	to	to	PART
ap-5173	999	18	use	use	VERB
ap-5173	999	19	more	more	ADJ
ap-5173	999	20	input	input	NOUN
ap-5173	999	21	variables	variable	NOUN
ap-5173	999	22	.	.	PUNCT
ap-5173	1000	1	the	the	DET
ap-5173	1000	2	results	result	NOUN
ap-5173	1000	3	from	from	ADP
ap-5173	1000	4	the	the	DET
ap-5173	1000	5	test	test	NOUN
ap-5173	1000	6	phase	phase	NOUN
ap-5173	1000	7	are	be	AUX
ap-5173	1000	8	shown	show	VERB
ap-5173	1000	9	in	in	ADP
ap-5173	1000	10	table	table	NOUN
ap-5173	1000	11	11	11	NUM
ap-5173	1000	12	.	.	PUNCT
ap-5173	1001	1	these	these	DET
ap-5173	1001	2	results	result	NOUN
ap-5173	1001	3	are	be	AUX
ap-5173	1001	4	not	not	PART
ap-5173	1001	5	so	so	ADV
ap-5173	1001	6	consistent	consistent	ADJ
ap-5173	1001	7	as	as	ADP
ap-5173	1001	8	in	in	ADP
ap-5173	1001	9	the	the	DET
ap-5173	1001	10	training	training	NOUN
ap-5173	1001	11	phase	phase	NOUN
ap-5173	1001	12	,	,	PUNCT
ap-5173	1001	13	especially	especially	ADV
ap-5173	1001	14	for	for	ADP
ap-5173	1001	15	the	the	DET
ap-5173	1001	16	temperature	temperature	NOUN
ap-5173	1001	17	prediction	prediction	NOUN
ap-5173	1001	18	where	where	SCONJ
ap-5173	1001	19	the	the	DET
ap-5173	1001	20	best	good	ADJ
ap-5173	1001	21	results	result	NOUN
ap-5173	1001	22	are	be	AUX
ap-5173	1001	23	scattered	scatter	VERB
ap-5173	1001	24	over	over	ADP
ap-5173	1001	25	individual	individual	ADJ
ap-5173	1001	26	methods	method	NOUN
ap-5173	1001	27	.	.	PUNCT
ap-5173	1002	1	in	in	ADP
ap-5173	1002	2	the	the	DET
ap-5173	1002	3	testing	testing	NOUN
ap-5173	1002	4	phase	phase	NOUN
ap-5173	1002	5	,	,	PUNCT
ap-5173	1002	6	the	the	DET
ap-5173	1002	7	model	model	NOUN
ap-5173	1002	8	was	be	AUX
ap-5173	1002	9	verified	verify	VERB
ap-5173	1002	10	on	on	ADP
ap-5173	1002	11	untrained	untrained	ADJ
ap-5173	1002	12	data	datum	NOUN
ap-5173	1002	13	in	in	ADP
ap-5173	1002	14	order	order	NOUN
ap-5173	1002	15	to	to	PART
ap-5173	1002	16	predict	predict	VERB
ap-5173	1002	17	the	the	DET
ap-5173	1002	18	target	target	NOUN
ap-5173	1002	19	variable	variable	NOUN
ap-5173	1002	20	.	.	PUNCT
ap-5173	1003	1	the	the	DET
ap-5173	1003	2	time	time	NOUN
ap-5173	1003	3	consumption	consumption	NOUN
ap-5173	1003	4	was	be	AUX
ap-5173	1003	5	not	not	PART
ap-5173	1003	6	evaluated	evaluate	VERB
ap-5173	1003	7	in	in	ADP
ap-5173	1003	8	the	the	DET
ap-5173	1003	9	testing	testing	NOUN
ap-5173	1003	10	phase	phase	NOUN
ap-5173	1003	11	.	.	PUNCT
ap-5173	1004	1	for	for	ADP
ap-5173	1004	2	the	the	DET
ap-5173	1004	3	temperature	temperature	NOUN
ap-5173	1004	4	prediction	prediction	NOUN
ap-5173	1004	5	with	with	ADP
ap-5173	1004	6	five	five	NUM
ap-5173	1004	7	input	input	NOUN
ap-5173	1004	8	variables	variable	NOUN
ap-5173	1004	9	,	,	PUNCT
ap-5173	1004	10	the	the	DET
ap-5173	1004	11	best	good	ADJ
ap-5173	1004	12	result	result	NOUN
ap-5173	1004	13	in	in	ADP
ap-5173	1004	14	terms	term	NOUN
ap-5173	1004	15	of	of	ADP
ap-5173	1004	16	performance	performance	NOUN
ap-5173	1004	17	index	index	NOUN
ap-5173	1004	18	was	be	AUX
ap-5173	1004	19	obtained	obtain	VERB
ap-5173	1004	20	in	in	ADP
ap-5173	1004	21	the	the	DET
ap-5173	1004	22	utilization	utilization	NOUN
ap-5173	1004	23	of	of	ADP
ap-5173	1004	24	piecewise	piecewise	NOUN
ap-5173	1004	25	-	-	PUNCT
ap-5173	1004	26	cubic	cubic	NOUN
ap-5173	1004	27	type	type	NOUN
ap-5173	1004	28	of	of	ADP
ap-5173	1004	29	the	the	DET
ap-5173	1004	30	mars	mars	NOUN
ap-5173	1004	31	model	model	NOUN
ap-5173	1004	32	with	with	ADP
ap-5173	1004	33	20	20	NUM
ap-5173	1004	34	bfs	bfs	NOUN
ap-5173	1004	35	.	.	PUNCT
ap-5173	1005	1	the	the	DET
ap-5173	1005	2	worst	bad	ADJ
ap-5173	1005	3	result	result	NOUN
ap-5173	1005	4	in	in	ADP
ap-5173	1005	5	terms	term	NOUN
ap-5173	1005	6	of	of	ADP
ap-5173	1005	7	the	the	DET
ap-5173	1005	8	performance	performance	NOUN
ap-5173	1005	9	index	index	NOUN
ap-5173	1005	10	was	be	AUX
ap-5173	1005	11	obtained	obtain	VERB
ap-5173	1005	12	by	by	ADP
ap-5173	1005	13	the	the	DET
ap-5173	1005	14	svr	svr	PROPN
ap-5173	1005	15	with	with	ADP
ap-5173	1005	16	the	the	DET
ap-5173	1005	17	gaussian	gaussian	ADJ
ap-5173	1005	18	kernel	kernel	NOUN
ap-5173	1005	19	and	and	CCONJ
ap-5173	1005	20	five	five	NUM
ap-5173	1005	21	input	input	NOUN
ap-5173	1005	22	variables	variable	NOUN
ap-5173	1005	23	.	.	PUNCT
ap-5173	1006	1	when	when	SCONJ
ap-5173	1006	2	the	the	DET
ap-5173	1006	3	svr	svr	PROPN
ap-5173	1006	4	with	with	ADP
ap-5173	1006	5	five	five	NUM
ap-5173	1006	6	inputs	input	NOUN
ap-5173	1006	7	was	be	AUX
ap-5173	1006	8	used	use	VERB
ap-5173	1006	9	,	,	PUNCT
ap-5173	1006	10	the	the	DET
ap-5173	1006	11	predicted	predict	VERB
ap-5173	1006	12	temperature	temperature	NOUN
ap-5173	1006	13	value	value	NOUN
ap-5173	1006	14	correlated	correlate	VERB
ap-5173	1006	15	the	the	DET
ap-5173	1006	16	best	good	ADJ
ap-5173	1006	17	with	with	ADP
ap-5173	1006	18	the	the	DET
ap-5173	1006	19	measured	measure	VERB
ap-5173	1006	20	one	one	NUM
ap-5173	1006	21	.	.	PUNCT
ap-5173	1007	1	with	with	ADP
ap-5173	1007	2	two	two	NUM
ap-5173	1007	3	input	input	NOUN
ap-5173	1007	4	variables	variable	NOUN
ap-5173	1007	5	,	,	PUNCT
ap-5173	1007	6	the	the	DET
ap-5173	1007	7	best	good	ADJ
ap-5173	1007	8	results	result	NOUN
ap-5173	1007	9	were	be	AUX
ap-5173	1007	10	obtained	obtain	VERB
ap-5173	1007	11	by	by	ADP
ap-5173	1007	12	the	the	DET
ap-5173	1007	13	bpnn	bpnn	NOUN
ap-5173	1007	14	and	and	CCONJ
ap-5173	1007	15	the	the	DET
ap-5173	1007	16	worst	bad	ADJ
ap-5173	1007	17	by	by	ADP
ap-5173	1007	18	the	the	DET
ap-5173	1007	19	piecewise	piecewise	NOUN
ap-5173	1007	20	-	-	PUNCT
ap-5173	1007	21	linear	linear	NOUN
ap-5173	1007	22	type	type	NOUN
ap-5173	1007	23	of	of	ADP
ap-5173	1007	24	the	the	DET
ap-5173	1007	25	mars	mars	NOUN
ap-5173	1007	26	model	model	NOUN
ap-5173	1007	27	.	.	PUNCT
ap-5173	1008	1	for	for	ADP
ap-5173	1008	2	the	the	DET
ap-5173	1008	3	calorific	calorific	ADJ
ap-5173	1008	4	value	value	NOUN
ap-5173	1008	5	prediction	prediction	NOUN
ap-5173	1008	6	with	with	ADP
ap-5173	1008	7	three	three	NUM
ap-5173	1008	8	input	input	NOUN
ap-5173	1008	9	variables	variable	NOUN
ap-5173	1008	10	,	,	PUNCT
ap-5173	1008	11	the	the	DET
ap-5173	1008	12	results	result	NOUN
ap-5173	1008	13	with	with	ADP
ap-5173	1008	14	the	the	DET
ap-5173	1008	15	lowest	low	ADJ
ap-5173	1008	16	performance	performance	NOUN
ap-5173	1008	17	index	index	NOUN
ap-5173	1008	18	were	be	AUX
ap-5173	1008	19	obtained	obtain	VERB
ap-5173	1008	20	for	for	ADP
ap-5173	1008	21	the	the	DET
ap-5173	1008	22	utilization	utilization	NOUN
ap-5173	1008	23	of	of	ADP
ap-5173	1008	24	the	the	DET
ap-5173	1008	25	svr	svr	PROPN
ap-5173	1008	26	and	and	CCONJ
ap-5173	1008	27	gaussian	gaussian	ADJ
ap-5173	1008	28	kernel	kernel	NOUN
ap-5173	1008	29	.	.	PUNCT
ap-5173	1009	1	results	result	NOUN
ap-5173	1009	2	obtained	obtain	VERB
ap-5173	1009	3	with	with	ADP
ap-5173	1009	4	the	the	DET
ap-5173	1009	5	utilization	utilization	NOUN
ap-5173	1009	6	of	of	ADP
ap-5173	1009	7	the	the	DET
ap-5173	1009	8	bpnn	bpnn	NOUN
ap-5173	1009	9	take	take	VERB
ap-5173	1009	10	the	the	DET
ap-5173	1009	11	second	second	ADJ
ap-5173	1009	12	-	-	PUNCT
ap-5173	1009	13	place	place	NOUN
ap-5173	1009	14	.	.	PUNCT
ap-5173	1010	1	when	when	SCONJ
ap-5173	1010	2	the	the	DET
ap-5173	1010	3	bpnn	bpnn	NOUN
ap-5173	1010	4	with	with	ADP
ap-5173	1010	5	three	three	NUM
ap-5173	1010	6	inputs	input	NOUN
ap-5173	1010	7	was	be	AUX
ap-5173	1010	8	used	use	VERB
ap-5173	1010	9	,	,	PUNCT
ap-5173	1010	10	the	the	DET
ap-5173	1010	11	predicted	predict	VERB
ap-5173	1010	12	calorific	calorific	ADJ
ap-5173	1010	13	value	value	NOUN
ap-5173	1010	14	correlated	correlate	VERB
ap-5173	1010	15	the	the	DET
ap-5173	1010	16	best	good	ADJ
ap-5173	1010	17	with	with	ADP
ap-5173	1010	18	the	the	DET
ap-5173	1010	19	measured	measure	VERB
ap-5173	1010	20	one	one	NUM
ap-5173	1010	21	.	.	PUNCT
ap-5173	1011	1	the	the	DET
ap-5173	1011	2	worst	bad	ADJ
ap-5173	1011	3	results	result	NOUN
ap-5173	1011	4	in	in	ADP
ap-5173	1011	5	terms	term	NOUN
ap-5173	1011	6	of	of	ADP
ap-5173	1011	7	the	the	DET
ap-5173	1011	8	performance	performance	NOUN
ap-5173	1011	9	index	index	NOUN
ap-5173	1011	10	were	be	AUX
ap-5173	1011	11	obtained	obtain	VERB
ap-5173	1011	12	by	by	ADP
ap-5173	1011	13	the	the	DET
ap-5173	1011	14	piecewise	piecewise	NOUN
ap-5173	1011	15	-	-	PUNCT
ap-5173	1011	16	cubic	cubic	ADJ
ap-5173	1011	17	type	type	NOUN
ap-5173	1011	18	of	of	ADP
ap-5173	1011	19	the	the	DET
ap-5173	1011	20	mars	mars	NOUN
ap-5173	1011	21	model	model	NOUN
ap-5173	1011	22	with	with	ADP
ap-5173	1011	23	18	18	NUM
ap-5173	1011	24	bfs	bfs	NOUN
ap-5173	1011	25	and	and	CCONJ
ap-5173	1011	26	three	three	NUM
ap-5173	1011	27	inputs	input	NOUN
ap-5173	1011	28	.	.	PUNCT
ap-5173	1012	1	with	with	ADP
ap-5173	1012	2	two	two	NUM
ap-5173	1012	3	input	input	NOUN
ap-5173	1012	4	variables	variable	NOUN
ap-5173	1012	5	,	,	PUNCT
ap-5173	1012	6	the	the	DET
ap-5173	1012	7	best	good	ADJ
ap-5173	1012	8	results	result	NOUN
ap-5173	1012	9	were	be	AUX
ap-5173	1012	10	obtained	obtain	VERB
ap-5173	1012	11	for	for	ADP
ap-5173	1012	12	the	the	DET
ap-5173	1012	13	svr	svr	PROPN
ap-5173	1012	14	and	and	CCONJ
ap-5173	1012	15	gaussian	gaussian	ADJ
ap-5173	1012	16	kernel	kernel	NOUN
ap-5173	1012	17	and	and	CCONJ
ap-5173	1012	18	the	the	DET
ap-5173	1012	19	worst	bad	ADJ
ap-5173	1012	20	in	in	ADP
ap-5173	1012	21	the	the	DET
ap-5173	1012	22	case	case	NOUN
ap-5173	1012	23	of	of	ADP
ap-5173	1012	24	the	the	DET
ap-5173	1012	25	piecewise	piecewise	NOUN
ap-5173	1012	26	-	-	PUNCT
ap-5173	1012	27	linear	linear	NOUN
ap-5173	1012	28	type	type	NOUN
ap-5173	1012	29	of	of	ADP
ap-5173	1012	30	the	the	DET
ap-5173	1012	31	mars	mars	NOUN
ap-5173	1012	32	model	model	NOUN
ap-5173	1012	33	.	.	PUNCT
ap-5173	1013	1	the	the	DET
ap-5173	1013	2	prediction	prediction	NOUN
ap-5173	1013	3	of	of	ADP
ap-5173	1013	4	the	the	DET
ap-5173	1013	5	underground	underground	ADJ
ap-5173	1013	6	temperature	temperature	NOUN
ap-5173	1013	7	has	have	AUX
ap-5173	1013	8	reached	reach	VERB
ap-5173	1013	9	a	a	DET
ap-5173	1013	10	higher	high	ADJ
ap-5173	1013	11	performance	performance	NOUN
ap-5173	1013	12	index	index	NOUN
ap-5173	1013	13	on	on	ADP
ap-5173	1013	14	average	average	ADJ
ap-5173	1013	15	than	than	ADP
ap-5173	1013	16	in	in	ADP
ap-5173	1013	17	the	the	DET
ap-5173	1013	18	case	case	NOUN
ap-5173	1013	19	of	of	ADP
ap-5173	1013	20	temperature	temperature	NOUN
ap-5173	1013	21	.	.	PUNCT
ap-5173	1014	1	5	5	X
ap-5173	1014	2	.	.	X
ap-5173	1014	3	summary	summary	NOUN
ap-5173	1014	4	and	and	CCONJ
ap-5173	1014	5	conclusions	conclusion	NOUN
ap-5173	1014	6	in	in	ADP
ap-5173	1014	7	this	this	DET
ap-5173	1014	8	paper	paper	NOUN
ap-5173	1014	9	,	,	PUNCT
ap-5173	1014	10	three	three	NUM
ap-5173	1014	11	approaches	approach	NOUN
ap-5173	1014	12	were	be	AUX
ap-5173	1014	13	examined	examine	VERB
ap-5173	1014	14	in	in	ADP
ap-5173	1014	15	order	order	NOUN
ap-5173	1014	16	to	to	PART
ap-5173	1014	17	find	find	VERB
ap-5173	1014	18	the	the	DET
ap-5173	1014	19	best	good	ADJ
ap-5173	1014	20	prediction	prediction	NOUN
ap-5173	1014	21	method	method	NOUN
ap-5173	1014	22	for	for	ADP
ap-5173	1014	23	the	the	DET
ap-5173	1014	24	ucg	ucg	PROPN
ap-5173	1014	25	data	data	VERB
ap-5173	1014	26	soft	soft	ADJ
ap-5173	1014	27	-	-	PUNCT
ap-5173	1014	28	sensing	sensing	NOUN
ap-5173	1014	29	.	.	PUNCT
ap-5173	1015	1	a	a	DET
ap-5173	1015	2	comparison	comparison	NOUN
ap-5173	1015	3	of	of	ADP
ap-5173	1015	4	methods	method	NOUN
ap-5173	1015	5	suitable	suitable	ADJ
ap-5173	1015	6	for	for	ADP
ap-5173	1015	7	predicting	predict	VERB
ap-5173	1015	8	the	the	DET
ap-5173	1015	9	ucg	ucg	PROPN
ap-5173	1015	10	data	data	PROPN
ap-5173	1015	11	has	have	AUX
ap-5173	1015	12	not	not	PART
ap-5173	1015	13	been	be	AUX
ap-5173	1015	14	published	publish	VERB
ap-5173	1015	15	yet	yet	ADV
ap-5173	1015	16	.	.	PUNCT
ap-5173	1016	1	in	in	ADP
ap-5173	1016	2	the	the	DET
ap-5173	1016	3	ucg	ucg	PROPN
ap-5173	1016	4	process	process	NOUN
ap-5173	1016	5	,	,	PUNCT
ap-5173	1016	6	it	it	PRON
ap-5173	1016	7	is	be	AUX
ap-5173	1016	8	a	a	DET
ap-5173	1016	9	complicated	complicated	ADJ
ap-5173	1016	10	to	to	PART
ap-5173	1016	11	predict	predict	VERB
ap-5173	1016	12	some	some	DET
ap-5173	1016	13	process	process	NOUN
ap-5173	1016	14	variables	variable	NOUN
ap-5173	1016	15	because	because	SCONJ
ap-5173	1016	16	it	it	PRON
ap-5173	1016	17	is	be	AUX
ap-5173	1016	18	not	not	PART
ap-5173	1016	19	possible	possible	ADJ
ap-5173	1016	20	to	to	PART
ap-5173	1016	21	see	see	VERB
ap-5173	1016	22	the	the	DET
ap-5173	1016	23	state	state	NOUN
ap-5173	1016	24	of	of	ADP
ap-5173	1016	25	the	the	DET
ap-5173	1016	26	process	process	NOUN
ap-5173	1016	27	that	that	PRON
ap-5173	1016	28	runs	run	VERB
ap-5173	1016	29	in	in	ADP
ap-5173	1016	30	an	an	DET
ap-5173	1016	31	inaccessible	inaccessible	ADJ
ap-5173	1016	32	environment	environment	NOUN
ap-5173	1016	33	.	.	PUNCT
ap-5173	1017	1	the	the	DET
ap-5173	1017	2	goal	goal	NOUN
ap-5173	1017	3	was	be	AUX
ap-5173	1017	4	to	to	PART
ap-5173	1017	5	find	find	VERB
ap-5173	1017	6	the	the	DET
ap-5173	1017	7	valid	valid	ADJ
ap-5173	1017	8	data	data	NOUN
ap-5173	1017	9	-	-	PUNCT
ap-5173	1017	10	driven	drive	VERB
ap-5173	1017	11	learning	learning	NOUN
ap-5173	1017	12	method	method	NOUN
ap-5173	1017	13	that	that	PRON
ap-5173	1017	14	allows	allow	VERB
ap-5173	1017	15	to	to	PART
ap-5173	1017	16	estimate	estimate	VERB
ap-5173	1017	17	the	the	DET
ap-5173	1017	18	underground	underground	ADJ
ap-5173	1017	19	temperature	temperature	NOUN
ap-5173	1017	20	or	or	CCONJ
ap-5173	1017	21	the	the	DET
ap-5173	1017	22	syngas	syngas	NOUN
ap-5173	1017	23	calorific	calorific	NOUN
ap-5173	1017	24	value	value	NOUN
ap-5173	1017	25	from	from	ADP
ap-5173	1017	26	other	other	ADJ
ap-5173	1017	27	measurable	measurable	ADJ
ap-5173	1017	28	process	process	NOUN
ap-5173	1017	29	variables	variable	NOUN
ap-5173	1017	30	.	.	PUNCT
ap-5173	1018	1	predicting	predict	VERB
ap-5173	1018	2	these	these	DET
ap-5173	1018	3	variables	variable	NOUN
ap-5173	1018	4	will	will	AUX
ap-5173	1018	5	make	make	VERB
ap-5173	1018	6	it	it	PRON
ap-5173	1018	7	possible	possible	ADJ
ap-5173	1018	8	to	to	PART
ap-5173	1018	9	control	control	VERB
ap-5173	1018	10	the	the	DET
ap-5173	1018	11	ucg	ucg	PROPN
ap-5173	1018	12	process	process	NOUN
ap-5173	1018	13	more	more	ADV
ap-5173	1018	14	efficiently	efficiently	ADV
ap-5173	1018	15	.	.	PUNCT
ap-5173	1019	1	in	in	ADP
ap-5173	1019	2	this	this	DET
ap-5173	1019	3	paper	paper	NOUN
ap-5173	1019	4	,	,	PUNCT
ap-5173	1019	5	only	only	ADV
ap-5173	1019	6	a	a	DET
ap-5173	1019	7	small	small	ADJ
ap-5173	1019	8	amount	amount	NOUN
ap-5173	1019	9	of	of	ADP
ap-5173	1019	10	measurable	measurable	ADJ
ap-5173	1019	11	input	input	NOUN
ap-5173	1019	12	variables	variable	NOUN
ap-5173	1019	13	from	from	ADP
ap-5173	1019	14	one	one	NUM
ap-5173	1019	15	ucg	ucg	NOUN
ap-5173	1019	16	experiment	experiment	NOUN
ap-5173	1019	17	were	be	AUX
ap-5173	1019	18	used	use	VERB
ap-5173	1019	19	to	to	PART
ap-5173	1019	20	get	get	VERB
ap-5173	1019	21	a	a	DET
ap-5173	1019	22	comparison	comparison	NOUN
ap-5173	1019	23	of	of	ADP
ap-5173	1019	24	learning	learn	VERB
ap-5173	1019	25	methods	method	NOUN
ap-5173	1019	26	.	.	PUNCT
ap-5173	1020	1	all	all	DET
ap-5173	1020	2	methods	method	NOUN
ap-5173	1020	3	that	that	PRON
ap-5173	1020	4	have	have	AUX
ap-5173	1020	5	been	be	AUX
ap-5173	1020	6	applied	apply	VERB
ap-5173	1020	7	considered	consider	VERB
ap-5173	1020	8	only	only	ADV
ap-5173	1020	9	one	one	NUM
ap-5173	1020	10	output	output	NOUN
ap-5173	1020	11	variable	variable	NOUN
ap-5173	1020	12	.	.	PUNCT
ap-5173	1021	1	the	the	DET
ap-5173	1021	2	resulting	result	VERB
ap-5173	1021	3	mars	mar	NOUN
ap-5173	1021	4	model	model	NOUN
ap-5173	1021	5	can	can	AUX
ap-5173	1021	6	be	be	AUX
ap-5173	1021	7	stored	store	VERB
ap-5173	1021	8	in	in	ADP
ap-5173	1021	9	a	a	DET
ap-5173	1021	10	pc	pc	NOUN
ap-5173	1021	11	and	and	CCONJ
ap-5173	1021	12	is	be	AUX
ap-5173	1021	13	even	even	ADV
ap-5173	1021	14	portable	portable	ADJ
ap-5173	1021	15	as	as	ADP
ap-5173	1021	16	an	an	DET
ap-5173	1021	17	analytic	analytic	ADJ
ap-5173	1021	18	equation	equation	NOUN
ap-5173	1021	19	and	and	CCONJ
ap-5173	1021	20	the	the	DET
ap-5173	1021	21	impact	impact	NOUN
ap-5173	1021	22	of	of	ADP
ap-5173	1021	23	each	each	DET
ap-5173	1021	24	predictor	predictor	NOUN
ap-5173	1021	25	can	can	AUX
ap-5173	1021	26	clearly	clearly	ADV
ap-5173	1021	27	ne	ne	AUX
ap-5173	1021	28	seen	see	VERB
ap-5173	1021	29	(	(	PUNCT
ap-5173	1021	30	i.e.	i.e.	X
ap-5173	1021	31	,	,	PUNCT
ap-5173	1021	32	the	the	DET
ap-5173	1021	33	model	model	NOUN
ap-5173	1021	34	is	be	AUX
ap-5173	1021	35	easier	easy	ADJ
ap-5173	1021	36	to	to	PART
ap-5173	1021	37	understand	understand	VERB
ap-5173	1021	38	by	by	ADP
ap-5173	1021	39	humans	human	NOUN
ap-5173	1021	40	)	)	PUNCT
ap-5173	1021	41	.	.	PUNCT
ap-5173	1022	1	in	in	ADP
ap-5173	1022	2	mars	mar	NOUN
ap-5173	1022	3	,	,	PUNCT
ap-5173	1022	4	the	the	DET
ap-5173	1022	5	prediction	prediction	NOUN
ap-5173	1022	6	is	be	AUX
ap-5173	1022	7	based	base	VERB
ap-5173	1022	8	on	on	ADP
ap-5173	1022	9	a	a	DET
ap-5173	1022	10	simple	simple	ADJ
ap-5173	1022	11	and	and	CCONJ
ap-5173	1022	12	quick	quick	ADJ
ap-5173	1022	13	calculation	calculation	NOUN
ap-5173	1022	14	of	of	ADP
ap-5173	1022	15	the	the	DET
ap-5173	1022	16	mars	mars	NOUN
ap-5173	1022	17	model	model	NOUN
ap-5173	1022	18	formula	formula	NOUN
ap-5173	1022	19	.	.	PUNCT
ap-5173	1023	1	in	in	ADP
ap-5173	1023	2	svr	svr	PROPN
ap-5173	1023	3	,	,	PUNCT
ap-5173	1023	4	each	each	DET
ap-5173	1023	5	variable	variable	NOUN
ap-5173	1023	6	is	be	AUX
ap-5173	1023	7	multiplied	multiply	VERB
ap-5173	1023	8	by	by	ADP
ap-5173	1023	9	the	the	DET
ap-5173	1023	10	corresponding	corresponding	ADJ
ap-5173	1023	11	element	element	NOUN
ap-5173	1023	12	of	of	ADP
ap-5173	1023	13	each	each	DET
ap-5173	1023	14	support	support	NOUN
ap-5173	1023	15	vector	vector	NOUN
ap-5173	1023	16	,	,	PUNCT
ap-5173	1023	17	which	which	PRON
ap-5173	1023	18	can	can	AUX
ap-5173	1023	19	be	be	AUX
ap-5173	1023	20	a	a	DET
ap-5173	1023	21	slow	slow	ADJ
ap-5173	1023	22	process	process	NOUN
ap-5173	1023	23	if	if	SCONJ
ap-5173	1023	24	there	there	PRON
ap-5173	1023	25	are	be	VERB
ap-5173	1023	26	many	many	ADJ
ap-5173	1023	27	variables	variable	NOUN
ap-5173	1023	28	and	and	CCONJ
ap-5173	1023	29	a	a	DET
ap-5173	1023	30	large	large	ADJ
ap-5173	1023	31	number	number	NOUN
ap-5173	1023	32	of	of	ADP
ap-5173	1023	33	support	support	NOUN
ap-5173	1023	34	vectors	vector	NOUN
ap-5173	1023	35	.	.	PUNCT
ap-5173	1024	1	individual	individual	ADJ
ap-5173	1024	2	svr	svr	PROPN
ap-5173	1024	3	models	model	NOUN
ap-5173	1024	4	have	have	AUX
ap-5173	1024	5	been	be	AUX
ap-5173	1024	6	obtained	obtain	VERB
ap-5173	1024	7	by	by	ADP
ap-5173	1024	8	using	use	VERB
ap-5173	1024	9	the	the	DET
ap-5173	1024	10	ε	ε	PROPN
ap-5173	1024	11	-	-	PUNCT
ap-5173	1024	12	svr	svr	PROPN
ap-5173	1024	13	.	.	PUNCT
ap-5173	1025	1	applying	apply	VERB
ap-5173	1025	2	the	the	DET
ap-5173	1025	3	kernel	kernel	NOUN
ap-5173	1025	4	trick	trick	NOUN
ap-5173	1025	5	in	in	ADP
ap-5173	1025	6	the	the	DET
ap-5173	1025	7	svr	svr	PROPN
ap-5173	1025	8	,	,	PUNCT
ap-5173	1025	9	it	it	PRON
ap-5173	1025	10	allows	allow	VERB
ap-5173	1025	11	modelling	model	VERB
ap-5173	1025	12	expert	expert	ADJ
ap-5173	1025	13	knowledge	knowledge	NOUN
ap-5173	1025	14	of	of	ADP
ap-5173	1025	15	the	the	DET
ap-5173	1025	16	ucg	ucg	PROPN
ap-5173	1025	17	process	process	NOUN
ap-5173	1025	18	.	.	PUNCT
ap-5173	1026	1	the	the	DET
ap-5173	1026	2	svr	svr	PROPN
ap-5173	1026	3	is	be	AUX
ap-5173	1026	4	defined	define	VERB
ap-5173	1026	5	as	as	ADP
ap-5173	1026	6	a	a	DET
ap-5173	1026	7	convex	convex	NOUN
ap-5173	1026	8	optimization	optimization	NOUN
ap-5173	1026	9	problem	problem	NOUN
ap-5173	1026	10	where	where	SCONJ
ap-5173	1026	11	there	there	PRON
ap-5173	1026	12	are	be	VERB
ap-5173	1026	13	no	no	DET
ap-5173	1026	14	local	local	ADJ
ap-5173	1026	15	minima	minima	NOUN
ap-5173	1026	16	,	,	PUNCT
ap-5173	1026	17	and	and	CCONJ
ap-5173	1026	18	therefore	therefore	ADV
ap-5173	1026	19	,	,	PUNCT
ap-5173	1026	20	effective	effective	ADJ
ap-5173	1026	21	optimization	optimization	NOUN
ap-5173	1026	22	methods	method	NOUN
ap-5173	1026	23	such	such	ADJ
ap-5173	1026	24	as	as	ADP
ap-5173	1026	25	smo	smo	PROPN
ap-5173	1026	26	can	can	AUX
ap-5173	1026	27	be	be	AUX
ap-5173	1026	28	used	use	VERB
ap-5173	1026	29	.	.	PUNCT
ap-5173	1027	1	in	in	ADP
ap-5173	1027	2	the	the	DET
ap-5173	1027	3	case	case	NOUN
ap-5173	1027	4	of	of	ADP
ap-5173	1027	5	nns	nn	NOUN
ap-5173	1027	6	,	,	PUNCT
ap-5173	1027	7	the	the	DET
ap-5173	1027	8	training	training	NOUN
ap-5173	1027	9	is	be	AUX
ap-5173	1027	10	often	often	ADV
ap-5173	1027	11	complicated	complicated	ADJ
ap-5173	1027	12	because	because	SCONJ
ap-5173	1027	13	there	there	PRON
ap-5173	1027	14	is	be	VERB
ap-5173	1027	15	always	always	ADV
ap-5173	1027	16	a	a	DET
ap-5173	1027	17	risk	risk	NOUN
ap-5173	1027	18	of	of	ADP
ap-5173	1027	19	a	a	DET
ap-5173	1027	20	deadlock	deadlock	NOUN
ap-5173	1027	21	at	at	ADP
ap-5173	1027	22	the	the	DET
ap-5173	1027	23	local	local	ADJ
ap-5173	1027	24	minimum	minimum	NOUN
ap-5173	1027	25	of	of	ADP
ap-5173	1027	26	the	the	DET
ap-5173	1027	27	error	error	NOUN
ap-5173	1027	28	function	function	NOUN
ap-5173	1027	29	.	.	PUNCT
ap-5173	1028	1	also	also	ADV
ap-5173	1028	2	,	,	PUNCT
ap-5173	1028	3	the	the	DET
ap-5173	1028	4	learning	learning	NOUN
ap-5173	1028	5	of	of	ADP
ap-5173	1028	6	nns	nn	NOUN
ap-5173	1028	7	is	be	AUX
ap-5173	1028	8	highly	highly	ADV
ap-5173	1028	9	complicated	complicated	ADJ
ap-5173	1028	10	by	by	ADP
ap-5173	1028	11	looking	look	VERB
ap-5173	1028	12	for	for	ADP
ap-5173	1028	13	a	a	DET
ap-5173	1028	14	high	high	ADJ
ap-5173	1028	15	number	number	NOUN
ap-5173	1028	16	of	of	ADP
ap-5173	1028	17	weights	weight	NOUN
ap-5173	1028	18	in	in	ADP
ap-5173	1028	19	a	a	DET
ap-5173	1028	20	multidimensional	multidimensional	ADJ
ap-5173	1028	21	space	space	NOUN
ap-5173	1028	22	.	.	PUNCT
ap-5173	1029	1	in	in	ADP
ap-5173	1029	2	mars	mar	NOUN
ap-5173	1029	3	and	and	CCONJ
ap-5173	1029	4	svr	svr	PROPN
ap-5173	1029	5	,	,	PUNCT
ap-5173	1029	6	it	it	PRON
ap-5173	1029	7	is	be	AUX
ap-5173	1029	8	needed	need	VERB
ap-5173	1029	9	to	to	PART
ap-5173	1029	10	package	package	VERB
ap-5173	1029	11	program	program	NOUN
ap-5173	1029	12	code	code	NOUN
ap-5173	1029	13	that	that	PRON
ap-5173	1029	14	provides	provide	VERB
ap-5173	1029	15	the	the	DET
ap-5173	1029	16	prediction	prediction	NOUN
ap-5173	1029	17	with	with	ADP
ap-5173	1029	18	the	the	DET
ap-5173	1029	19	optimized	optimize	VERB
ap-5173	1029	20	weights	weight	NOUN
ap-5173	1029	21	or	or	CCONJ
ap-5173	1029	22	support	support	NOUN
ap-5173	1029	23	vectors	vector	NOUN
ap-5173	1029	24	.	.	PUNCT
ap-5173	1030	1	it	it	PRON
ap-5173	1030	2	can	can	AUX
ap-5173	1030	3	be	be	AUX
ap-5173	1030	4	said	say	VERB
ap-5173	1030	5	that	that	SCONJ
ap-5173	1030	6	all	all	DET
ap-5173	1030	7	three	three	NUM
ap-5173	1030	8	methods	method	NOUN
ap-5173	1030	9	have	have	AUX
ap-5173	1030	10	achieved	achieve	VERB
ap-5173	1030	11	satisfactory	satisfactory	ADJ
ap-5173	1030	12	results	result	NOUN
ap-5173	1030	13	in	in	ADP
ap-5173	1030	14	terms	term	NOUN
ap-5173	1030	15	of	of	ADP
ap-5173	1030	16	the	the	DET
ap-5173	1030	17	underground	underground	ADJ
ap-5173	1030	18	temperature	temperature	NOUN
ap-5173	1030	19	and	and	CCONJ
ap-5173	1030	20	syngas	syngas	NOUN
ap-5173	1030	21	calorific	calorific	NOUN
ap-5173	1030	22	value	value	NOUN
ap-5173	1030	23	prediction	prediction	NOUN
ap-5173	1030	24	.	.	PUNCT
ap-5173	1031	1	regarding	regard	VERB
ap-5173	1031	2	the	the	DET
ap-5173	1031	3	training	training	NOUN
ap-5173	1031	4	,	,	PUNCT
ap-5173	1031	5	the	the	DET
ap-5173	1031	6	svr	svr	PROPN
ap-5173	1031	7	with	with	ADP
ap-5173	1031	8	the	the	DET
ap-5173	1031	9	gaussian	gaussian	ADJ
ap-5173	1031	10	kernel	kernel	NOUN
ap-5173	1031	11	was	be	AUX
ap-5173	1031	12	the	the	DET
ap-5173	1031	13	winner	winner	NOUN
ap-5173	1031	14	.	.	PUNCT
ap-5173	1032	1	this	this	DET
ap-5173	1032	2	model	model	NOUN
ap-5173	1032	3	best	well	ADV
ap-5173	1032	4	matched	match	VERB
ap-5173	1032	5	the	the	DET
ap-5173	1032	6	measured	measure	VERB
ap-5173	1032	7	data	datum	NOUN
ap-5173	1032	8	,	,	PUNCT
ap-5173	1032	9	both	both	CCONJ
ap-5173	1032	10	in	in	ADP
ap-5173	1032	11	the	the	DET
ap-5173	1032	12	case	case	NOUN
ap-5173	1032	13	of	of	ADP
ap-5173	1032	14	the	the	DET
ap-5173	1032	15	temperature	temperature	NOUN
ap-5173	1032	16	and	and	CCONJ
ap-5173	1032	17	the	the	DET
ap-5173	1032	18	calorific	calorific	NOUN
ap-5173	1032	19	value	value	NOUN
ap-5173	1032	20	.	.	PUNCT
ap-5173	1033	1	regarding	regard	VERB
ap-5173	1033	2	the	the	DET
ap-5173	1033	3	prediction	prediction	NOUN
ap-5173	1033	4	,	,	PUNCT
ap-5173	1033	5	the	the	DET
ap-5173	1033	6	best	good	ADJ
ap-5173	1033	7	result	result	NOUN
ap-5173	1033	8	was	be	AUX
ap-5173	1033	9	obtained	obtain	VERB
ap-5173	1033	10	by	by	ADP
ap-5173	1033	11	piecewise	piecewise	NOUN
ap-5173	1033	12	-	-	PUNCT
ap-5173	1033	13	cubic	cubic	ADJ
ap-5173	1033	14	type	type	NOUN
ap-5173	1033	15	of	of	ADP
ap-5173	1033	16	mars	mar	NOUN
ap-5173	1033	17	model	model	NOUN
ap-5173	1033	18	.	.	PUNCT
ap-5173	1034	1	in	in	ADP
ap-5173	1034	2	these	these	DET
ap-5173	1034	3	cases	case	NOUN
ap-5173	1034	4	,	,	PUNCT
ap-5173	1034	5	the	the	DET
ap-5173	1034	6	better	well	ADJ
ap-5173	1034	7	results	result	NOUN
ap-5173	1034	8	were	be	AUX
ap-5173	1034	9	achieved	achieve	VERB
ap-5173	1034	10	at	at	ADP
ap-5173	1034	11	all	all	ADV
ap-5173	1034	12	considered	consider	VERB
ap-5173	1034	13	input	input	NOUN
ap-5173	1034	14	variables	variable	NOUN
ap-5173	1034	15	of	of	ADP
ap-5173	1034	16	the	the	DET
ap-5173	1034	17	target	target	NOUN
ap-5173	1034	18	variable	variable	NOUN
ap-5173	1034	19	.	.	PUNCT
ap-5173	1035	1	the	the	DET
ap-5173	1035	2	results	result	NOUN
ap-5173	1035	3	show	show	VERB
ap-5173	1035	4	that	that	SCONJ
ap-5173	1035	5	a	a	DET
ap-5173	1035	6	higher	high	ADJ
ap-5173	1035	7	number	number	NOUN
ap-5173	1035	8	of	of	ADP
ap-5173	1035	9	input	input	NOUN
ap-5173	1035	10	variables	variable	NOUN
ap-5173	1035	11	increases	increase	VERB
ap-5173	1035	12	the	the	DET
ap-5173	1035	13	predictive	predictive	ADJ
ap-5173	1035	14	performance	performance	NOUN
ap-5173	1035	15	.	.	PUNCT
ap-5173	1036	1	obtained	obtain	VERB
ap-5173	1036	2	results	result	NOUN
ap-5173	1036	3	can	can	AUX
ap-5173	1036	4	be	be	AUX
ap-5173	1036	5	applied	apply	VERB
ap-5173	1036	6	to	to	ADP
ap-5173	1036	7	the	the	DET
ap-5173	1036	8	model	model	NOUN
ap-5173	1036	9	predictive	predictive	ADJ
ap-5173	1036	10	control	control	NOUN
ap-5173	1036	11	of	of	ADP
ap-5173	1036	12	the	the	DET
ap-5173	1036	13	ucg	ucg	PROPN
ap-5173	1036	14	process	process	NOUN
ap-5173	1036	15	.	.	PUNCT
ap-5173	1037	1	acknowledgements	acknowledgement	NOUN
ap-5173	1037	2	this	this	DET
ap-5173	1037	3	work	work	NOUN
ap-5173	1037	4	was	be	AUX
ap-5173	1037	5	supported	support	VERB
ap-5173	1037	6	by	by	ADP
ap-5173	1037	7	the	the	DET
ap-5173	1037	8	ec	ec	PROPN
ap-5173	1037	9	research	research	NOUN
ap-5173	1037	10	programme	programme	NOUN
ap-5173	1037	11	of	of	ADP
ap-5173	1037	12	the	the	DET
ap-5173	1037	13	research	research	NOUN
ap-5173	1037	14	fund	fund	NOUN
ap-5173	1037	15	for	for	ADP
ap-5173	1037	16	coal	coal	NOUN
ap-5173	1037	17	and	and	CCONJ
ap-5173	1037	18	steel	steel	NOUN
ap-5173	1037	19	(	(	PUNCT
ap-5173	1037	20	grant	grant	VERB
ap-5173	1037	21	no	no	INTJ
ap-5173	1037	22	.	.	PUNCT
ap-5173	1038	1	rfcrct-2013	rfcrct-2013	NOUN
ap-5173	1038	2	-	-	PUNCT
ap-5173	1038	3	00002	00002	NUM
ap-5173	1038	4	)	)	PUNCT
ap-5173	1039	1	,	,	PUNCT
ap-5173	1039	2	by	by	ADP
ap-5173	1039	3	the	the	DET
ap-5173	1039	4	slovak	slovak	ADJ
ap-5173	1039	5	grant	grant	NOUN
ap-5173	1039	6	agency	agency	NOUN
ap-5173	1039	7	for	for	ADP
ap-5173	1039	8	science	science	NOUN
ap-5173	1039	9	under	under	ADP
ap-5173	1039	10	grant	grant	PROPN
ap-5173	1039	11	vega	vega	PROPN
ap-5173	1039	12	1/0273/17	1/0273/17	NUM
ap-5173	1039	13	,	,	PUNCT
ap-5173	1039	14	and	and	CCONJ
ap-5173	1039	15	by	by	ADP
ap-5173	1039	16	the	the	DET
ap-5173	1039	17	slovak	slovak	ADJ
ap-5173	1039	18	research	research	NOUN
ap-5173	1039	19	and	and	CCONJ
ap-5173	1039	20	development	development	NOUN
ap-5173	1039	21	agency	agency	NOUN
ap-5173	1039	22	under	under	ADP
ap-5173	1039	23	the	the	DET
ap-5173	1039	24	contract	contract	NOUN
ap-5173	1039	25	no	no	INTJ
ap-5173	1039	26	.	.	PUNCT
ap-5173	1039	27	apvv14	apvv14	PROPN
ap-5173	1039	28	-	-	PUNCT
ap-5173	1039	29	0892	0892	NUM
ap-5173	1039	30	.	.	PUNCT
ap-5173	1040	1	references	reference	NOUN
ap-5173	1040	2	[	[	X
ap-5173	1040	3	1	1	NUM
ap-5173	1040	4	]	]	X
ap-5173	1040	5	g.	g.	PROPN
ap-5173	1040	6	ökten	ökten	PROPN
ap-5173	1040	7	,	,	PUNCT
ap-5173	1040	8	v.	v.	ADP
ap-5173	1040	9	didari	didari	NOUN
ap-5173	1040	10	.	.	PUNCT
ap-5173	1041	1	underground	underground	ADJ
ap-5173	1041	2	gasification	gasification	NOUN
ap-5173	1041	3	of	of	ADP
ap-5173	1041	4	coal	coal	NOUN
ap-5173	1041	5	.	.	PUNCT
ap-5173	1042	1	in	in	ADP
ap-5173	1042	2	:	:	PUNCT
ap-5173	1042	3	kural	kural	ADJ
ap-5173	1042	4	,	,	PUNCT
ap-5173	1042	5	o.	o.	NOUN
ap-5173	1042	6	(	(	PUNCT
ap-5173	1042	7	ed	ed	NOUN
ap-5173	1042	8	.	.	PUNCT
ap-5173	1042	9	)	)	PUNCT
ap-5173	1042	10	coal	coal	NOUN
ap-5173	1042	11	.	.	PUNCT
ap-5173	1043	1	technical	technical	ADJ
ap-5173	1043	2	report	report	PROPN
ap-5173	1043	3	,	,	PUNCT
ap-5173	1043	4	istanbul	istanbul	PROPN
ap-5173	1043	5	349	349	NUM
ap-5173	1043	6	j.	j.	PROPN
ap-5173	1043	7	kačur	kačur	PROPN
ap-5173	1043	8	,	,	PUNCT
ap-5173	1043	9	m.	m.	NOUN
ap-5173	1043	10	durdán	durdán	PROPN
ap-5173	1043	11	,	,	PUNCT
ap-5173	1043	12	m.	m.	NOUN
ap-5173	1043	13	laciak	laciak	NOUN
ap-5173	1043	14	,	,	PUNCT
ap-5173	1043	15	p.	p.	PROPN
ap-5173	1043	16	flegner	flegner	PROPN
ap-5173	1043	17	acta	acta	PROPN
ap-5173	1043	18	polytechnica	polytechnica	PROPN
ap-5173	1043	19	technical	technical	PROPN
ap-5173	1043	20	university	university	PROPN
ap-5173	1043	21	,	,	PUNCT
ap-5173	1043	22	university	university	NOUN
ap-5173	1043	23	,	,	PUNCT
ap-5173	1043	24	istanbul	istanbul	PROPN
ap-5173	1043	25	,	,	PUNCT
ap-5173	1043	26	turkey	turkey	PROPN
ap-5173	1043	27	,	,	PUNCT
ap-5173	1043	28	p.	p.	NOUN
ap-5173	1043	29	371	371	NUM
ap-5173	1043	30	-	-	SYM
ap-5173	1043	31	378	378	NUM
ap-5173	1043	32	,	,	PUNCT
ap-5173	1043	33	1994	1994	NUM
ap-5173	1043	34	.	.	PUNCT
ap-5173	1044	1	[	[	X
ap-5173	1044	2	2	2	X
ap-5173	1044	3	]	]	PUNCT
ap-5173	1044	4	j.	j.	PROPN
ap-5173	1044	5	kačur	kačur	PROPN
ap-5173	1044	6	,	,	PUNCT
ap-5173	1044	7	m.	m.	PROPN
ap-5173	1044	8	durdán	durdán	PROPN
ap-5173	1044	9	,	,	PUNCT
ap-5173	1044	10	m.	m.	NOUN
ap-5173	1044	11	laciak	laciak	NOUN
ap-5173	1044	12	,	,	PUNCT
ap-5173	1044	13	p.	p.	NOUN
ap-5173	1044	14	flegner	flegner	NOUN
ap-5173	1044	15	.	.	PUNCT
ap-5173	1045	1	impact	impact	NOUN
ap-5173	1045	2	analysis	analysis	NOUN
ap-5173	1045	3	of	of	ADP
ap-5173	1045	4	the	the	DET
ap-5173	1045	5	oxidant	oxidant	NOUN
ap-5173	1045	6	in	in	ADP
ap-5173	1045	7	the	the	DET
ap-5173	1045	8	process	process	NOUN
ap-5173	1045	9	of	of	ADP
ap-5173	1045	10	underground	underground	ADJ
ap-5173	1045	11	coal	coal	NOUN
ap-5173	1045	12	gasification	gasification	NOUN
ap-5173	1045	13	.	.	PUNCT
ap-5173	1046	1	measurement	measurement	NOUN
ap-5173	1046	2	51:147–155	51:147–155	NUM
ap-5173	1046	3	,	,	PUNCT
ap-5173	1046	4	2014	2014	NUM
ap-5173	1046	5	.	.	PUNCT
ap-5173	1047	1	doi:10.1016	doi:10.1016	PROPN
ap-5173	1047	2	/	/	SYM
ap-5173	1047	3	j.measurement.2014.01.036	j.measurement.2014.01.036	PROPN
ap-5173	1047	4	.	.	PUNCT
ap-5173	1048	1	[	[	X
ap-5173	1048	2	3	3	NUM
ap-5173	1048	3	]	]	PUNCT
ap-5173	1048	4	m.	m.	NOUN
ap-5173	1048	5	sury	sury	NOUN
ap-5173	1048	6	,	,	PUNCT
ap-5173	1048	7	m.	m.	NOUN
ap-5173	1048	8	white	white	PROPN
ap-5173	1048	9	,	,	PUNCT
ap-5173	1048	10	j.	j.	PROPN
ap-5173	1048	11	kirton	kirton	PROPN
ap-5173	1048	12	,	,	PUNCT
ap-5173	1048	13	et	et	PROPN
ap-5173	1048	14	al	al	PROPN
ap-5173	1048	15	.	.	PROPN
ap-5173	1048	16	review	review	PROPN
ap-5173	1048	17	of	of	ADP
ap-5173	1048	18	environmental	environmental	ADJ
ap-5173	1048	19	issues	issue	NOUN
ap-5173	1048	20	of	of	ADP
ap-5173	1048	21	underground	underground	ADJ
ap-5173	1048	22	coal	coal	NOUN
ap-5173	1048	23	gasification	gasification	NOUN
ap-5173	1048	24	,	,	PUNCT
ap-5173	1048	25	technical	technical	ADJ
ap-5173	1048	26	report	report	NOUN
ap-5173	1048	27	coal	coal	NOUN
ap-5173	1048	28	r272	r272	PROPN
ap-5173	1048	29	dti	dti	PROPN
ap-5173	1048	30	/	/	SYM
ap-5173	1048	31	pub	pub	NOUN
ap-5173	1048	32	urn	urn	NOUN
ap-5173	1048	33	04/1880	04/1880	PROPN
ap-5173	1048	34	.	.	PUNCT
ap-5173	1048	35	technical	technical	ADJ
ap-5173	1048	36	report	report	PROPN
ap-5173	1048	37	,	,	PUNCT
ap-5173	1048	38	ws	ws	PROPN
ap-5173	1048	39	atkins	atkins	PROPN
ap-5173	1048	40	consultants	consultants	PROPN
ap-5173	1048	41	ltd	ltd	PROPN
ap-5173	1048	42	.	.	PROPN
ap-5173	1048	43	department	department	PROPN
ap-5173	1048	44	of	of	ADP
ap-5173	1048	45	trade	trade	NOUN
ap-5173	1048	46	and	and	CCONJ
ap-5173	1048	47	industry	industry	NOUN
ap-5173	1048	48	,	,	PUNCT
ap-5173	1048	49	2010	2010	NUM
ap-5173	1048	50	.	.	PUNCT
ap-5173	1049	1	[	[	X
ap-5173	1049	2	4	4	X
ap-5173	1049	3	]	]	X
ap-5173	1049	4	j.	j.	PROPN
ap-5173	1049	5	kačur	kačur	PROPN
ap-5173	1049	6	,	,	PUNCT
ap-5173	1049	7	m.	m.	NOUN
ap-5173	1049	8	durdán	durdán	PROPN
ap-5173	1049	9	,	,	PUNCT
ap-5173	1049	10	g.	g.	PROPN
ap-5173	1049	11	bogdanovská	bogdanovská	PROPN
ap-5173	1049	12	.	.	PUNCT
ap-5173	1050	1	monitoring	monitoring	NOUN
ap-5173	1050	2	and	and	CCONJ
ap-5173	1050	3	measurement	measurement	NOUN
ap-5173	1050	4	of	of	ADP
ap-5173	1050	5	the	the	DET
ap-5173	1050	6	process	process	NOUN
ap-5173	1050	7	variable	variable	NOUN
ap-5173	1050	8	in	in	ADP
ap-5173	1050	9	ucg	ucg	PROPN
ap-5173	1050	10	.	.	PUNCT
ap-5173	1051	1	in	in	ADP
ap-5173	1051	2	sgem	sgem	PROPN
ap-5173	1051	3	2016	2016	NUM
ap-5173	1051	4	:	:	PUNCT
ap-5173	1051	5	16th	16th	ADJ
ap-5173	1051	6	international	international	ADJ
ap-5173	1051	7	multidisciplinary	multidisciplinary	ADJ
ap-5173	1051	8	scientific	scientific	ADJ
ap-5173	1051	9	geoconference	geoconference	NOUN
ap-5173	1051	10	,	,	PUNCT
ap-5173	1051	11	bulgaria	bulgaria	PROPN
ap-5173	1051	12	sofia	sofia	PROPN
ap-5173	1051	13	:	:	PUNCT
ap-5173	1051	14	stef92	stef92	NOUN
ap-5173	1051	15	technology	technology	NOUN
ap-5173	1051	16	,	,	PUNCT
ap-5173	1051	17	pp	pp	ADJ
ap-5173	1051	18	.	.	PUNCT
ap-5173	1052	1	295–302	295–302	NUM
ap-5173	1052	2	.	.	NOUN
ap-5173	1052	3	2016	2016	NUM
ap-5173	1052	4	.	.	PUNCT
ap-5173	1053	1	doi:10.5593	doi:10.5593	NOUN
ap-5173	1053	2	/	/	SYM
ap-5173	1053	3	sgem2016	sgem2016	PROPN
ap-5173	1053	4	/	/	SYM
ap-5173	1053	5	b21	b21	PROPN
ap-5173	1053	6	/	/	SYM
ap-5173	1053	7	s07.038	s07.038	PROPN
ap-5173	1053	8	.	.	PUNCT
ap-5173	1054	1	[	[	X
ap-5173	1054	2	5	5	NUM
ap-5173	1054	3	]	]	PUNCT
ap-5173	1054	4	m.	m.	NOUN
ap-5173	1054	5	durdán	durdán	PROPN
ap-5173	1054	6	,	,	PUNCT
ap-5173	1054	7	k.	k.	PROPN
ap-5173	1054	8	kostúr	kostúr	PROPN
ap-5173	1054	9	.	.	PUNCT
ap-5173	1055	1	modeling	modeling	NOUN
ap-5173	1055	2	of	of	ADP
ap-5173	1055	3	temperatures	temperature	NOUN
ap-5173	1055	4	by	by	ADP
ap-5173	1055	5	using	use	VERB
ap-5173	1055	6	the	the	DET
ap-5173	1055	7	algorithm	algorithm	NOUN
ap-5173	1055	8	of	of	ADP
ap-5173	1055	9	queue	queue	NOUN
ap-5173	1055	10	burning	burn	VERB
ap-5173	1055	11	movement	movement	NOUN
ap-5173	1055	12	in	in	ADP
ap-5173	1055	13	the	the	DET
ap-5173	1055	14	ucg	ucg	PROPN
ap-5173	1055	15	process	process	NOUN
ap-5173	1055	16	.	.	PUNCT
ap-5173	1056	1	acta	acta	PROPN
ap-5173	1056	2	montanistica	montanistica	PROPN
ap-5173	1056	3	slovaca	slovaca	PROPN
ap-5173	1056	4	20(3):181–191	20(3):181–191	PROPN
ap-5173	1056	5	,	,	PUNCT
ap-5173	1056	6	2015	2015	NUM
ap-5173	1056	7	.	.	PUNCT
ap-5173	1057	1	[	[	X
ap-5173	1057	2	6	6	NUM
ap-5173	1057	3	]	]	PUNCT
ap-5173	1057	4	k.	k.	PROPN
ap-5173	1057	5	kostúr	kostúr	PROPN
ap-5173	1057	6	.	.	PUNCT
ap-5173	1058	1	mathematical	mathematical	ADJ
ap-5173	1058	2	modeling	modeling	NOUN
ap-5173	1058	3	temperature	temperature	NOUN
ap-5173	1058	4	’s	’s	PART
ap-5173	1058	5	fields	field	NOUN
ap-5173	1058	6	in	in	ADP
ap-5173	1058	7	overburden	overburden	PROPN
ap-5173	1058	8	during	during	ADP
ap-5173	1058	9	underground	underground	ADJ
ap-5173	1058	10	coal	coal	NOUN
ap-5173	1058	11	gasification	gasification	NOUN
ap-5173	1058	12	.	.	PUNCT
ap-5173	1059	1	in	in	ADP
ap-5173	1059	2	iccc	iccc	PROPN
ap-5173	1059	3	2014	2014	NUM
ap-5173	1059	4	:	:	PUNCT
ap-5173	1059	5	proceedings	proceeding	NOUN
ap-5173	1059	6	of	of	ADP
ap-5173	1059	7	the	the	DET
ap-5173	1059	8	2014	2014	NUM
ap-5173	1059	9	15th	15th	ADJ
ap-5173	1059	10	international	international	ADJ
ap-5173	1059	11	carpathian	carpathian	PROPN
ap-5173	1059	12	control	control	PROPN
ap-5173	1059	13	conference	conference	PROPN
ap-5173	1059	14	(	(	PUNCT
ap-5173	1059	15	iccc	iccc	PROPN
ap-5173	1059	16	)	)	PUNCT
ap-5173	1059	17	velke	velke	ADJ
ap-5173	1059	18	karlovice	karlovice	NOUN
ap-5173	1059	19	,	,	PUNCT
ap-5173	1059	20	may	may	AUX
ap-5173	1059	21	28	28	NUM
ap-5173	1059	22	-	-	SYM
ap-5173	1059	23	30	30	NUM
ap-5173	1059	24	,	,	PUNCT
ap-5173	1059	25	pp	pp	ADJ
ap-5173	1059	26	.	.	PUNCT
ap-5173	1060	1	248–253	248–253	NUM
ap-5173	1060	2	.	.	PUNCT
ap-5173	1061	1	danvers	danver	NOUN
ap-5173	1061	2	:	:	PUNCT
ap-5173	1061	3	ieee	ieee	NOUN
ap-5173	1061	4	,	,	PUNCT
ap-5173	1061	5	2014	2014	NUM
ap-5173	1061	6	.	.	PUNCT
ap-5173	1062	1	doi:10.1109	doi:10.1109	VERB
ap-5173	1062	2	/	/	SYM
ap-5173	1062	3	carpathiancc.2014.6843606	carpathiancc.2014.6843606	ADJ
ap-5173	1062	4	.	.	PUNCT
ap-5173	1063	1	[	[	X
ap-5173	1063	2	7	7	X
ap-5173	1063	3	]	]	X
ap-5173	1063	4	m.	m.	NOUN
ap-5173	1063	5	koenen	koenen	PROPN
ap-5173	1063	6	,	,	PUNCT
ap-5173	1063	7	f.	f.	PROPN
ap-5173	1063	8	bergen	bergen	PROPN
ap-5173	1063	9	,	,	PUNCT
ap-5173	1063	10	p.	p.	PROPN
ap-5173	1063	11	david	david	PROPN
ap-5173	1063	12	.	.	PUNCT
ap-5173	1064	1	isotope	isotope	NOUN
ap-5173	1064	2	measurements	measurement	NOUN
ap-5173	1064	3	as	as	ADP
ap-5173	1064	4	a	a	DET
ap-5173	1064	5	proxy	proxy	NOUN
ap-5173	1064	6	for	for	ADP
ap-5173	1064	7	optimising	optimise	VERB
ap-5173	1064	8	future	future	ADJ
ap-5173	1064	9	hydrogen	hydrogen	NOUN
ap-5173	1064	10	production	production	NOUN
ap-5173	1064	11	in	in	ADP
ap-5173	1064	12	underground	underground	ADJ
ap-5173	1064	13	coal	coal	NOUN
ap-5173	1064	14	gasification	gasification	NOUN
ap-5173	1064	15	,	,	PUNCT
ap-5173	1064	16	news	news	NOUN
ap-5173	1064	17	in	in	ADP
ap-5173	1064	18	depth	depth	NOUN
ap-5173	1064	19	,	,	PUNCT
ap-5173	1064	20	2015	2015	NUM
ap-5173	1064	21	.	.	PUNCT
ap-5173	1065	1	[	[	X
ap-5173	1065	2	8	8	NUM
ap-5173	1065	3	]	]	PUNCT
ap-5173	1065	4	m.	m.	NOUN
ap-5173	1065	5	benková	benková	PROPN
ap-5173	1065	6	,	,	PUNCT
ap-5173	1065	7	m.	m.	NOUN
ap-5173	1065	8	durdán	durdán	PROPN
ap-5173	1065	9	.	.	PUNCT
ap-5173	1066	1	statistical	statistical	ADJ
ap-5173	1066	2	analyzes	analyze	NOUN
ap-5173	1066	3	of	of	ADP
ap-5173	1066	4	the	the	DET
ap-5173	1066	5	underground	underground	ADJ
ap-5173	1066	6	coal	coal	NOUN
ap-5173	1066	7	gasification	gasification	NOUN
ap-5173	1066	8	process	process	NOUN
ap-5173	1066	9	realized	realize	VERB
ap-5173	1066	10	in	in	ADP
ap-5173	1066	11	the	the	DET
ap-5173	1066	12	laboratory	laboratory	NOUN
ap-5173	1066	13	conditions	condition	NOUN
ap-5173	1066	14	.	.	PUNCT
ap-5173	1067	1	in	in	ADP
ap-5173	1067	2	sgem	sgem	PROPN
ap-5173	1067	3	2016	2016	NUM
ap-5173	1067	4	:	:	PUNCT
ap-5173	1067	5	16th	16th	ADJ
ap-5173	1067	6	international	international	ADJ
ap-5173	1067	7	multidisciplinary	multidisciplinary	ADJ
ap-5173	1067	8	scientific	scientific	ADJ
ap-5173	1067	9	geoconference	geoconference	NOUN
ap-5173	1067	10	,	,	PUNCT
ap-5173	1067	11	bulgaria	bulgaria	PROPN
ap-5173	1067	12	sofia	sofia	PROPN
ap-5173	1067	13	:	:	PUNCT
ap-5173	1067	14	stef92	stef92	NOUN
ap-5173	1067	15	technology	technology	NOUN
ap-5173	1067	16	,	,	PUNCT
ap-5173	1067	17	pp	pp	ADJ
ap-5173	1067	18	.	.	PUNCT
ap-5173	1068	1	405–412	405–412	NUM
ap-5173	1068	2	.	.	NOUN
ap-5173	1068	3	2016	2016	NUM
ap-5173	1068	4	.	.	PUNCT
ap-5173	1069	1	doi:10.5593	doi:10.5593	NOUN
ap-5173	1069	2	/	/	SYM
ap-5173	1069	3	sgem2016	sgem2016	PROPN
ap-5173	1069	4	/	/	SYM
ap-5173	1069	5	b21	b21	PROPN
ap-5173	1069	6	/	/	SYM
ap-5173	1069	7	s07.052	s07.052	PROPN
ap-5173	1069	8	.	.	PUNCT
ap-5173	1070	1	[	[	X
ap-5173	1070	2	9	9	NUM
ap-5173	1070	3	]	]	PUNCT
ap-5173	1070	4	l.	l.	PROPN
ap-5173	1070	5	fortuna	fortuna	PROPN
ap-5173	1070	6	,	,	PUNCT
ap-5173	1070	7	s.	s.	PROPN
ap-5173	1070	8	graziani	graziani	PROPN
ap-5173	1070	9	,	,	PUNCT
ap-5173	1070	10	a.	a.	PROPN
ap-5173	1070	11	rizzo	rizzo	PROPN
ap-5173	1070	12	,	,	PUNCT
ap-5173	1070	13	g.	g.	PROPN
ap-5173	1070	14	m.	m.	PROPN
ap-5173	1070	15	xibilia	xibilia	PROPN
ap-5173	1070	16	.	.	PUNCT
ap-5173	1070	17	soft	soft	ADJ
ap-5173	1070	18	sensors	sensor	NOUN
ap-5173	1070	19	for	for	ADP
ap-5173	1070	20	monitoring	monitoring	NOUN
ap-5173	1070	21	and	and	CCONJ
ap-5173	1070	22	control	control	NOUN
ap-5173	1070	23	of	of	ADP
ap-5173	1070	24	industrial	industrial	ADJ
ap-5173	1070	25	processes	process	NOUN
ap-5173	1070	26	.	.	PUNCT
ap-5173	1070	27	springer	springer	PROPN
ap-5173	1070	28	london	london	PROPN
ap-5173	1070	29	,	,	PUNCT
ap-5173	1070	30	2007	2007	NUM
ap-5173	1070	31	.	.	PUNCT
ap-5173	1071	1	doi:10.1007/978	doi:10.1007/978	ADJ
ap-5173	1071	2	-	-	PUNCT
ap-5173	1071	3	1	1	NUM
ap-5173	1071	4	-	-	PUNCT
ap-5173	1071	5	84628	84628	NUM
ap-5173	1071	6	-	-	PUNCT
ap-5173	1071	7	480	480	NUM
ap-5173	1071	8	-	-	PUNCT
ap-5173	1071	9	9	9	NUM
ap-5173	1071	10	.	.	PUNCT
ap-5173	1072	1	[	[	X
ap-5173	1072	2	10	10	NUM
ap-5173	1072	3	]	]	PUNCT
ap-5173	1072	4	t.	t.	PROPN
ap-5173	1072	5	ji	ji	PROPN
ap-5173	1072	6	,	,	PUNCT
ap-5173	1072	7	h.	h.	PROPN
ap-5173	1072	8	shi	shi	PROPN
ap-5173	1072	9	.	.	PROPN
ap-5173	1072	10	soft	soft	ADJ
ap-5173	1072	11	sensor	sensor	NOUN
ap-5173	1072	12	modeling	modeling	NOUN
ap-5173	1072	13	for	for	ADP
ap-5173	1072	14	temperature	temperature	NOUN
ap-5173	1072	15	measurement	measurement	NOUN
ap-5173	1072	16	of	of	ADP
ap-5173	1072	17	texaco	texaco	PROPN
ap-5173	1072	18	gasifier	gasifier	NOUN
ap-5173	1072	19	based	base	VERB
ap-5173	1072	20	on	on	ADP
ap-5173	1072	21	an	an	DET
ap-5173	1072	22	improved	improve	VERB
ap-5173	1072	23	rbf	rbf	PROPN
ap-5173	1072	24	neural	neural	ADJ
ap-5173	1072	25	network	network	NOUN
ap-5173	1072	26	.	.	PUNCT
ap-5173	1073	1	in	in	ADP
ap-5173	1073	2	2006	2006	NUM
ap-5173	1073	3	ieee	ieee	PROPN
ap-5173	1073	4	international	international	ADJ
ap-5173	1073	5	conference	conference	NOUN
ap-5173	1073	6	on	on	ADP
ap-5173	1073	7	information	information	NOUN
ap-5173	1073	8	acquisition	acquisition	NOUN
ap-5173	1073	9	,	,	PUNCT
ap-5173	1073	10	pp	pp	ADP
ap-5173	1073	11	.	.	PUNCT
ap-5173	1074	1	1147–1151	1147–1151	NUM
ap-5173	1074	2	.	.	PUNCT
ap-5173	1075	1	ieee	ieee	PROPN
ap-5173	1075	2	,	,	PUNCT
ap-5173	1075	3	2006	2006	NUM
ap-5173	1075	4	.	.	PUNCT
ap-5173	1076	1	doi:10.1109	doi:10.1109	PROPN
ap-5173	1076	2	/	/	SYM
ap-5173	1076	3	icia.2006.305907	icia.2006.305907	PROPN
ap-5173	1076	4	.	.	PUNCT
ap-5173	1077	1	[	[	X
ap-5173	1077	2	11	11	NUM
ap-5173	1077	3	]	]	PUNCT
ap-5173	1077	4	a.	a.	NOUN
ap-5173	1077	5	a.	a.	NOUN
ap-5173	1077	6	uppal	uppal	PROPN
ap-5173	1077	7	,	,	PUNCT
ap-5173	1077	8	a.	a.	PROPN
ap-5173	1077	9	i.	i.	PROPN
ap-5173	1077	10	bhatti	bhatti	PROPN
ap-5173	1077	11	,	,	PUNCT
ap-5173	1077	12	e.	e.	PROPN
ap-5173	1077	13	aamir	aamir	PROPN
ap-5173	1077	14	,	,	PUNCT
ap-5173	1077	15	et	et	PROPN
ap-5173	1077	16	al	al	PROPN
ap-5173	1077	17	.	.	PROPN
ap-5173	1077	18	control	control	PROPN
ap-5173	1077	19	oriented	orient	VERB
ap-5173	1077	20	modeling	modeling	NOUN
ap-5173	1077	21	and	and	CCONJ
ap-5173	1077	22	optimization	optimization	NOUN
ap-5173	1077	23	of	of	ADP
ap-5173	1077	24	one	one	NUM
ap-5173	1077	25	dimensional	dimensional	ADJ
ap-5173	1077	26	packed	pack	VERB
ap-5173	1077	27	bed	bed	NOUN
ap-5173	1077	28	model	model	NOUN
ap-5173	1077	29	of	of	ADP
ap-5173	1077	30	underground	underground	ADJ
ap-5173	1077	31	coal	coal	NOUN
ap-5173	1077	32	gasification	gasification	NOUN
ap-5173	1077	33	.	.	PUNCT
ap-5173	1078	1	journal	journal	PROPN
ap-5173	1078	2	of	of	ADP
ap-5173	1078	3	process	process	NOUN
ap-5173	1078	4	control	control	NOUN
ap-5173	1078	5	24:269–277	24:269–277	PROPN
ap-5173	1078	6	,	,	PUNCT
ap-5173	1078	7	2014	2014	NUM
ap-5173	1078	8	.	.	PUNCT
ap-5173	1079	1	doi:10.1016	doi:10.1016	PROPN
ap-5173	1079	2	/	/	SYM
ap-5173	1079	3	j.jprocont.2013.12.001	j.jprocont.2013.12.001	PROPN
ap-5173	1079	4	.	.	PUNCT
ap-5173	1080	1	[	[	X
ap-5173	1080	2	12	12	NUM
ap-5173	1080	3	]	]	PUNCT
ap-5173	1080	4	a.	a.	NOUN
ap-5173	1080	5	a.	a.	NOUN
ap-5173	1080	6	uppal	uppal	PROPN
ap-5173	1080	7	,	,	PUNCT
ap-5173	1080	8	a.	a.	PROPN
ap-5173	1080	9	i.	i.	PROPN
ap-5173	1080	10	bhatti	bhatti	PROPN
ap-5173	1080	11	,	,	PUNCT
ap-5173	1080	12	e.	e.	PROPN
ap-5173	1080	13	aamir	aamir	PROPN
ap-5173	1080	14	,	,	PUNCT
ap-5173	1080	15	et	et	PROPN
ap-5173	1080	16	al	al	PROPN
ap-5173	1080	17	.	.	PUNCT
ap-5173	1080	18	optimization	optimization	NOUN
ap-5173	1080	19	and	and	CCONJ
ap-5173	1080	20	control	control	NOUN
ap-5173	1080	21	of	of	ADP
ap-5173	1080	22	one	one	NUM
ap-5173	1080	23	dimensional	dimensional	ADJ
ap-5173	1080	24	packed	pack	VERB
ap-5173	1080	25	bed	bed	NOUN
ap-5173	1080	26	model	model	NOUN
ap-5173	1080	27	of	of	ADP
ap-5173	1080	28	underground	underground	ADJ
ap-5173	1080	29	coal	coal	NOUN
ap-5173	1080	30	gasification	gasification	NOUN
ap-5173	1080	31	.	.	PUNCT
ap-5173	1081	1	journal	journal	PROPN
ap-5173	1081	2	of	of	ADP
ap-5173	1081	3	process	process	NOUN
ap-5173	1081	4	control	control	PROPN
ap-5173	1081	5	35:11–20	35:11–20	NUM
ap-5173	1081	6	,	,	PUNCT
ap-5173	1081	7	2015	2015	NUM
ap-5173	1081	8	.	.	PUNCT
ap-5173	1082	1	doi:10.1016	doi:10.1016	PROPN
ap-5173	1082	2	/	/	SYM
ap-5173	1082	3	j.jprocont.2015.08.002	j.jprocont.2015.08.002	PROPN
ap-5173	1082	4	.	.	PUNCT
ap-5173	1083	1	[	[	X
ap-5173	1083	2	13	13	NUM
ap-5173	1083	3	]	]	PUNCT
ap-5173	1083	4	a.	a.	NOUN
ap-5173	1083	5	a.	a.	NOUN
ap-5173	1083	6	uppal	uppal	PROPN
ap-5173	1083	7	,	,	PUNCT
ap-5173	1083	8	y.	y.	PROPN
ap-5173	1083	9	m.	m.	PROPN
ap-5173	1083	10	alsmadi	alsmadi	PROPN
ap-5173	1083	11	,	,	PUNCT
ap-5173	1083	12	v.	v.	PROPN
ap-5173	1083	13	i.	i.	PROPN
ap-5173	1083	14	utkin	utkin	PROPN
ap-5173	1083	15	,	,	PUNCT
ap-5173	1083	16	et	et	PROPN
ap-5173	1083	17	al	al	PROPN
ap-5173	1083	18	.	.	PUNCT
ap-5173	1083	19	sliding	slide	VERB
ap-5173	1083	20	mode	mode	NOUN
ap-5173	1083	21	control	control	NOUN
ap-5173	1083	22	of	of	ADP
ap-5173	1083	23	underground	underground	ADJ
ap-5173	1083	24	coal	coal	NOUN
ap-5173	1083	25	gasification	gasification	NOUN
ap-5173	1083	26	energy	energy	NOUN
ap-5173	1083	27	conversion	conversion	NOUN
ap-5173	1083	28	process	process	NOUN
ap-5173	1083	29	.	.	PUNCT
ap-5173	1084	1	ieee	ieee	NOUN
ap-5173	1084	2	transactions	transaction	NOUN
ap-5173	1084	3	on	on	ADP
ap-5173	1084	4	control	control	NOUN
ap-5173	1084	5	systems	system	NOUN
ap-5173	1084	6	technology	technology	NOUN
ap-5173	1084	7	26(2):587–598	26(2):587–598	NUM
ap-5173	1084	8	,	,	PUNCT
ap-5173	1084	9	2018	2018	NUM
ap-5173	1084	10	.	.	PUNCT
ap-5173	1085	1	doi:10.1109	doi:10.1109	VERB
ap-5173	1085	2	/	/	SYM
ap-5173	1085	3	tcst.2017.2692718	tcst.2017.2692718	PROPN
ap-5173	1085	4	.	.	PUNCT
ap-5173	1086	1	[	[	X
ap-5173	1086	2	14	14	NUM
ap-5173	1086	3	]	]	PUNCT
ap-5173	1086	4	q.	q.	PROPN
ap-5173	1086	5	wei	wei	PROPN
ap-5173	1086	6	,	,	PUNCT
ap-5173	1086	7	d.	d.	PROPN
ap-5173	1086	8	liu	liu	PROPN
ap-5173	1086	9	.	.	PUNCT
ap-5173	1087	1	adaptive	adaptive	ADJ
ap-5173	1087	2	dynamic	dynamic	ADJ
ap-5173	1087	3	programming	programming	NOUN
ap-5173	1087	4	for	for	ADP
ap-5173	1087	5	optimal	optimal	ADJ
ap-5173	1087	6	tracking	tracking	NOUN
ap-5173	1087	7	control	control	NOUN
ap-5173	1087	8	of	of	ADP
ap-5173	1087	9	unknown	unknown	ADJ
ap-5173	1087	10	nonlinear	nonlinear	ADJ
ap-5173	1087	11	systems	system	NOUN
ap-5173	1087	12	with	with	ADP
ap-5173	1087	13	application	application	NOUN
ap-5173	1087	14	to	to	ADP
ap-5173	1087	15	coal	coal	NOUN
ap-5173	1087	16	gasification	gasification	NOUN
ap-5173	1087	17	.	.	PUNCT
ap-5173	1088	1	transactions	transaction	NOUN
ap-5173	1088	2	on	on	ADP
ap-5173	1088	3	automation	automation	NOUN
ap-5173	1088	4	science	science	NOUN
ap-5173	1088	5	and	and	CCONJ
ap-5173	1088	6	engineering	engineering	NOUN
ap-5173	1088	7	,	,	PUNCT
ap-5173	1088	8	ieee	ieee	NOUN
ap-5173	1088	9	11(4):1020	11(4):1020	NUM
ap-5173	1088	10	–	–	PUNCT
ap-5173	1088	11	1036	1036	NUM
ap-5173	1088	12	,	,	PUNCT
ap-5173	1088	13	2014	2014	NUM
ap-5173	1088	14	.	.	PUNCT
ap-5173	1089	1	doi:10.1109	doi:10.1109	ADJ
ap-5173	1089	2	/	/	SYM
ap-5173	1089	3	tase.2013.2284545	tase.2013.2284545	NOUN
ap-5173	1089	4	.	.	PUNCT
ap-5173	1090	1	[	[	X
ap-5173	1090	2	15	15	NUM
ap-5173	1090	3	]	]	X
ap-5173	1090	4	r.	r.	PROPN
ap-5173	1090	5	guo	guo	PROPN
ap-5173	1090	6	,	,	PUNCT
ap-5173	1090	7	g.	g.	PROPN
ap-5173	1090	8	x.	x.	PROPN
ap-5173	1090	9	cheng	cheng	PROPN
ap-5173	1090	10	,	,	PUNCT
ap-5173	1090	11	y.	y.	PROPN
ap-5173	1090	12	wang	wang	PROPN
ap-5173	1090	13	.	.	PUNCT
ap-5173	1091	1	texaco	texaco	PROPN
ap-5173	1091	2	coal	coal	NOUN
ap-5173	1091	3	gasification	gasification	NOUN
ap-5173	1091	4	quality	quality	NOUN
ap-5173	1091	5	prediction	prediction	NOUN
ap-5173	1091	6	by	by	ADP
ap-5173	1091	7	neural	neural	ADJ
ap-5173	1091	8	estimator	estimator	NOUN
ap-5173	1091	9	based	base	VERB
ap-5173	1091	10	on	on	ADP
ap-5173	1091	11	dynamic	dynamic	ADJ
ap-5173	1091	12	pca	pca	NOUN
ap-5173	1091	13	.	.	PUNCT
ap-5173	1092	1	in	in	ADP
ap-5173	1092	2	proceedings	proceeding	NOUN
ap-5173	1092	3	of	of	ADP
ap-5173	1092	4	the	the	DET
ap-5173	1092	5	2006	2006	NUM
ap-5173	1092	6	ieee	ieee	PROPN
ap-5173	1092	7	international	international	ADJ
ap-5173	1092	8	conference	conference	NOUN
ap-5173	1092	9	on	on	ADP
ap-5173	1092	10	mechatronics	mechatronic	NOUN
ap-5173	1092	11	and	and	CCONJ
ap-5173	1092	12	automation	automation	NOUN
ap-5173	1092	13	,	,	PUNCT
ap-5173	1092	14	pp	pp	X
ap-5173	1092	15	.	.	PUNCT
ap-5173	1092	16	1298–1302	1298–1302	NUM
ap-5173	1092	17	.	.	PUNCT
ap-5173	1092	18	2006	2006	NUM
ap-5173	1092	19	.	.	PUNCT
ap-5173	1093	1	doi:10.1109	doi:10.1109	VERB
ap-5173	1093	2	/	/	SYM
ap-5173	1093	3	icma.2006.257660	icma.2006.257660	NOUN
ap-5173	1093	4	.	.	PUNCT
ap-5173	1094	1	[	[	X
ap-5173	1094	2	16	16	NUM
ap-5173	1094	3	]	]	PUNCT
ap-5173	1094	4	b.	b.	PROPN
ap-5173	1094	5	guo	guo	PROPN
ap-5173	1094	6	,	,	PUNCT
ap-5173	1094	7	y.	y.	PROPN
ap-5173	1094	8	shen	shen	PROPN
ap-5173	1094	9	,	,	PUNCT
ap-5173	1094	10	f.	f.	PROPN
ap-5173	1094	11	zhao	zhao	PROPN
ap-5173	1094	12	.	.	PUNCT
ap-5173	1095	1	modelling	model	VERB
ap-5173	1095	2	coal	coal	NOUN
ap-5173	1095	3	gasification	gasification	NOUN
ap-5173	1095	4	with	with	ADP
ap-5173	1095	5	a	a	DET
ap-5173	1095	6	hybrid	hybrid	ADJ
ap-5173	1095	7	neural	neural	ADJ
ap-5173	1095	8	network	network	NOUN
ap-5173	1095	9	.	.	PUNCT
ap-5173	1096	1	fuel	fuel	NOUN
ap-5173	1096	2	76(12):1159–1164	76(12):1159–1164	NOUN
ap-5173	1096	3	,	,	PUNCT
ap-5173	1096	4	1997	1997	NUM
ap-5173	1096	5	.	.	PUNCT
ap-5173	1097	1	doi:10.1016	doi:10.1016	PROPN
ap-5173	1097	2	/	/	SYM
ap-5173	1097	3	s0016	s0016	PROPN
ap-5173	1097	4	-	-	PUNCT
ap-5173	1097	5	2361(97)00122	2361(97)00122	NUM
ap-5173	1097	6	-	-	SYM
ap-5173	1097	7	1	1	NUM
ap-5173	1097	8	.	.	PUNCT
ap-5173	1098	1	[	[	X
ap-5173	1098	2	17	17	NUM
ap-5173	1098	3	]	]	PUNCT
ap-5173	1098	4	s.	s.	PROPN
ap-5173	1098	5	liu	liu	PROPN
ap-5173	1098	6	,	,	PUNCT
ap-5173	1098	7	z.	z.	PROPN
ap-5173	1098	8	hou	hou	PROPN
ap-5173	1098	9	,	,	PUNCT
ap-5173	1098	10	c.	c.	PROPN
ap-5173	1098	11	yin	yin	PROPN
ap-5173	1098	12	.	.	PUNCT
ap-5173	1099	1	data	data	NOUN
ap-5173	1099	2	-	-	PUNCT
ap-5173	1099	3	driven	drive	VERB
ap-5173	1099	4	modeling	modeling	NOUN
ap-5173	1099	5	for	for	ADP
ap-5173	1099	6	fixed	fix	VERB
ap-5173	1099	7	-	-	PUNCT
ap-5173	1099	8	bed	bed	NOUN
ap-5173	1099	9	intermittent	intermittent	ADJ
ap-5173	1099	10	gasification	gasification	NOUN
ap-5173	1099	11	processes	process	NOUN
ap-5173	1099	12	by	by	ADP
ap-5173	1099	13	enhanced	enhance	VERB
ap-5173	1099	14	lazy	lazy	ADJ
ap-5173	1099	15	learning	learning	NOUN
ap-5173	1099	16	incorporated	incorporate	VERB
ap-5173	1099	17	with	with	ADP
ap-5173	1099	18	relevance	relevance	NOUN
ap-5173	1099	19	vector	vector	NOUN
ap-5173	1099	20	machine	machine	NOUN
ap-5173	1099	21	.	.	PUNCT
ap-5173	1100	1	in	in	ADP
ap-5173	1100	2	11th	11th	ADJ
ap-5173	1100	3	ieee	ieee	PROPN
ap-5173	1100	4	international	international	ADJ
ap-5173	1100	5	conference	conference	NOUN
ap-5173	1100	6	on	on	ADP
ap-5173	1100	7	control	control	NOUN
ap-5173	1100	8	&	&	CCONJ
ap-5173	1100	9	automation	automation	NOUN
ap-5173	1100	10	(	(	PUNCT
ap-5173	1100	11	icca	icca	PROPN
ap-5173	1100	12	)	)	PUNCT
ap-5173	1100	13	,	,	PUNCT
ap-5173	1100	14	pp	pp	ADJ
ap-5173	1100	15	.	.	PUNCT
ap-5173	1101	1	1019–1024	1019–1024	NUM
ap-5173	1101	2	.	.	PUNCT
ap-5173	1102	1	ieee	ieee	NOUN
ap-5173	1102	2	,	,	PUNCT
ap-5173	1102	3	2014	2014	NUM
ap-5173	1102	4	.	.	PUNCT
ap-5173	1103	1	doi:10.1109	doi:10.1109	VERB
ap-5173	1103	2	/	/	SYM
ap-5173	1103	3	icca.2014.6871060	icca.2014.6871060	NOUN
ap-5173	1103	4	.	.	PUNCT
ap-5173	1104	1	[	[	X
ap-5173	1104	2	18	18	NUM
ap-5173	1104	3	]	]	PUNCT
ap-5173	1104	4	m.	m.	NOUN
ap-5173	1104	5	laciak	laciak	PROPN
ap-5173	1104	6	,	,	PUNCT
ap-5173	1104	7	j.	j.	PROPN
ap-5173	1104	8	kačur	kačur	PROPN
ap-5173	1104	9	,	,	PUNCT
ap-5173	1104	10	k.	k.	PROPN
ap-5173	1104	11	kostúr	kostúr	PROPN
ap-5173	1104	12	.	.	PUNCT
ap-5173	1105	1	the	the	DET
ap-5173	1105	2	verification	verification	NOUN
ap-5173	1105	3	of	of	ADP
ap-5173	1105	4	thermodynamic	thermodynamic	ADJ
ap-5173	1105	5	model	model	NOUN
ap-5173	1105	6	for	for	ADP
ap-5173	1105	7	ucg	ucg	PROPN
ap-5173	1105	8	process	process	NOUN
ap-5173	1105	9	.	.	PUNCT
ap-5173	1106	1	in	in	ADP
ap-5173	1106	2	iccc	iccc	PROPN
ap-5173	1106	3	2016	2016	NUM
ap-5173	1106	4	:	:	PUNCT
ap-5173	1106	5	17th	17th	ADJ
ap-5173	1106	6	international	international	ADJ
ap-5173	1106	7	carpathian	carpathian	PROPN
ap-5173	1106	8	control	control	PROPN
ap-5173	1106	9	conference	conference	PROPN
ap-5173	1106	10	,	,	PUNCT
ap-5173	1106	11	pp	pp	X
ap-5173	1106	12	.	.	PUNCT
ap-5173	1107	1	424–428	424–428	NUM
ap-5173	1107	2	.	.	NOUN
ap-5173	1107	3	2016	2016	NUM
ap-5173	1107	4	.	.	PUNCT
ap-5173	1108	1	doi:10.1109	doi:10.1109	PROPN
ap-5173	1108	2	/	/	SYM
ap-5173	1108	3	carpathiancc.2016.7501135	carpathiancc.2016.7501135	PROPN
ap-5173	1108	4	.	.	PUNCT
ap-5173	1109	1	[	[	X
ap-5173	1109	2	19	19	NUM
ap-5173	1109	3	]	]	PUNCT
ap-5173	1109	4	m.	m.	NOUN
ap-5173	1109	5	laciak	laciak	PROPN
ap-5173	1109	6	,	,	PUNCT
ap-5173	1109	7	d.	d.	PROPN
ap-5173	1109	8	ráškayová	ráškayová	PROPN
ap-5173	1109	9	.	.	PUNCT
ap-5173	1110	1	the	the	DET
ap-5173	1110	2	using	using	NOUN
ap-5173	1110	3	of	of	ADP
ap-5173	1110	4	thermodynamic	thermodynamic	ADJ
ap-5173	1110	5	model	model	NOUN
ap-5173	1110	6	for	for	ADP
ap-5173	1110	7	the	the	DET
ap-5173	1110	8	optimal	optimal	ADJ
ap-5173	1110	9	setting	setting	NOUN
ap-5173	1110	10	of	of	ADP
ap-5173	1110	11	input	input	NOUN
ap-5173	1110	12	parameters	parameter	NOUN
ap-5173	1110	13	in	in	ADP
ap-5173	1110	14	the	the	DET
ap-5173	1110	15	ucg	ucg	PROPN
ap-5173	1110	16	process	process	NOUN
ap-5173	1110	17	.	.	PUNCT
ap-5173	1111	1	in	in	ADP
ap-5173	1111	2	iccc	iccc	PROPN
ap-5173	1111	3	2016	2016	NUM
ap-5173	1111	4	:	:	PUNCT
ap-5173	1111	5	17th	17th	ADJ
ap-5173	1111	6	international	international	ADJ
ap-5173	1111	7	carpathian	carpathian	PROPN
ap-5173	1111	8	control	control	PROPN
ap-5173	1111	9	conference	conference	PROPN
ap-5173	1111	10	,	,	PUNCT
ap-5173	1111	11	pp	pp	X
ap-5173	1111	12	.	.	PUNCT
ap-5173	1112	1	418	418	NUM
ap-5173	1112	2	–	–	PUNCT
ap-5173	1112	3	423	423	NUM
ap-5173	1112	4	.	.	NOUN
ap-5173	1112	5	2016	2016	NUM
ap-5173	1112	6	.	.	PUNCT
ap-5173	1113	1	doi:10.1109	doi:10.1109	VERB
ap-5173	1113	2	/	/	SYM
ap-5173	1113	3	carpathiancc.2016.7501134	carpathiancc.2016.7501134	PROPN
ap-5173	1113	4	.	.	PUNCT
ap-5173	1114	1	[	[	X
ap-5173	1114	2	20	20	NUM
ap-5173	1114	3	]	]	PUNCT
ap-5173	1114	4	a.	a.	NOUN
ap-5173	1114	5	m.	m.	PROPN
ap-5173	1114	6	winslow	winslow	PROPN
ap-5173	1114	7	.	.	PUNCT
ap-5173	1115	1	numerical	numerical	PROPN
ap-5173	1115	2	model	model	PROPN
ap-5173	1115	3	of	of	ADP
ap-5173	1115	4	coal	coal	NOUN
ap-5173	1115	5	gasification	gasification	NOUN
ap-5173	1115	6	in	in	ADP
ap-5173	1115	7	a	a	DET
ap-5173	1115	8	packed	packed	ADJ
ap-5173	1115	9	bed	bed	NOUN
ap-5173	1115	10	.	.	PUNCT
ap-5173	1116	1	symposium	symposium	NOUN
ap-5173	1116	2	(	(	PUNCT
ap-5173	1116	3	international	international	ADJ
ap-5173	1116	4	)	)	PUNCT
ap-5173	1116	5	on	on	ADP
ap-5173	1116	6	combustion	combustion	NOUN
ap-5173	1116	7	16(1):503–513	16(1):503–513	PROPN
ap-5173	1116	8	,	,	PUNCT
ap-5173	1116	9	1977	1977	NUM
ap-5173	1116	10	.	.	PUNCT
ap-5173	1117	1	doi:10.1016	doi:10.1016	PROPN
ap-5173	1117	2	/	/	SYM
ap-5173	1117	3	s0082	s0082	PROPN
ap-5173	1117	4	-	-	PUNCT
ap-5173	1117	5	0784(77)80347	0784(77)80347	NUM
ap-5173	1117	6	-	-	PUNCT
ap-5173	1117	7	0	0	NUM
ap-5173	1117	8	.	.	PUNCT
ap-5173	1118	1	[	[	X
ap-5173	1118	2	21	21	NUM
ap-5173	1118	3	]	]	PUNCT
ap-5173	1118	4	p.	p.	NOUN
ap-5173	1118	5	ji	ji	PROPN
ap-5173	1118	6	,	,	PUNCT
ap-5173	1118	7	x.	x.	PROPN
ap-5173	1118	8	gao	gao	PROPN
ap-5173	1118	9	,	,	PUNCT
ap-5173	1118	10	d.	d.	PROPN
ap-5173	1118	11	huang	huang	PROPN
ap-5173	1118	12	,	,	PUNCT
ap-5173	1118	13	y.	y.	PROPN
ap-5173	1118	14	yang	yang	PROPN
ap-5173	1118	15	.	.	PUNCT
ap-5173	1119	1	prediction	prediction	NOUN
ap-5173	1119	2	of	of	ADP
ap-5173	1119	3	syngas	syngas	NOUN
ap-5173	1119	4	compositions	composition	NOUN
ap-5173	1119	5	in	in	ADP
ap-5173	1119	6	shell	shell	ADJ
ap-5173	1119	7	coal	coal	NOUN
ap-5173	1119	8	gasification	gasification	NOUN
ap-5173	1119	9	process	process	NOUN
ap-5173	1119	10	via	via	ADP
ap-5173	1119	11	dynamic	dynamic	ADJ
ap-5173	1119	12	soft	soft	ADJ
ap-5173	1119	13	-	-	PUNCT
ap-5173	1119	14	sensing	sense	VERB
ap-5173	1119	15	method	method	NOUN
ap-5173	1119	16	.	.	PUNCT
ap-5173	1120	1	in	in	ADP
ap-5173	1120	2	proceeding	proceeding	NOUN
ap-5173	1120	3	of	of	ADP
ap-5173	1120	4	10th	10th	ADJ
ap-5173	1120	5	ieee	ieee	PROPN
ap-5173	1120	6	international	international	ADJ
ap-5173	1120	7	conference	conference	NOUN
ap-5173	1120	8	on	on	ADP
ap-5173	1120	9	control	control	NOUN
ap-5173	1120	10	and	and	CCONJ
ap-5173	1120	11	automation	automation	NOUN
ap-5173	1120	12	(	(	PUNCT
ap-5173	1120	13	icca	icca	PROPN
ap-5173	1120	14	)	)	PUNCT
ap-5173	1120	15	,	,	PUNCT
ap-5173	1120	16	pp	pp	ADP
ap-5173	1120	17	.	.	PUNCT
ap-5173	1121	1	244–249	244–249	NUM
ap-5173	1121	2	.	.	NOUN
ap-5173	1122	1	2013	2013	NUM
ap-5173	1122	2	.	.	PUNCT
ap-5173	1123	1	doi:10.1109	doi:10.1109	ADJ
ap-5173	1123	2	/	/	SYM
ap-5173	1123	3	icca.2013.6565140	icca.2013.6565140	NOUN
ap-5173	1123	4	.	.	PUNCT
ap-5173	1124	1	[	[	X
ap-5173	1124	2	22	22	NUM
ap-5173	1124	3	]	]	PUNCT
ap-5173	1124	4	i.	i.	PROPN
ap-5173	1124	5	h.	h.	PROPN
ap-5173	1124	6	al	al	PROPN
ap-5173	1124	7	-	-	PUNCT
ap-5173	1124	8	qinani	qinani	PROPN
ap-5173	1124	9	.	.	PUNCT
ap-5173	1125	1	multivariate	multivariate	VERB
ap-5173	1125	2	adaptive	adaptive	ADJ
ap-5173	1125	3	regression	regression	NOUN
ap-5173	1125	4	splines	spline	NOUN
ap-5173	1125	5	(	(	PUNCT
ap-5173	1125	6	mars	mar	NOUN
ap-5173	1125	7	)	)	PUNCT
ap-5173	1125	8	heuristic	heuristic	ADJ
ap-5173	1125	9	model	model	NOUN
ap-5173	1125	10	:	:	PUNCT
ap-5173	1125	11	application	application	NOUN
ap-5173	1125	12	of	of	ADP
ap-5173	1125	13	heavy	heavy	ADJ
ap-5173	1125	14	metal	metal	NOUN
ap-5173	1125	15	prediction	prediction	NOUN
ap-5173	1125	16	.	.	PUNCT
ap-5173	1126	1	international	international	ADJ
ap-5173	1126	2	journal	journal	NOUN
ap-5173	1126	3	of	of	ADP
ap-5173	1126	4	modern	modern	ADJ
ap-5173	1126	5	trends	trend	NOUN
ap-5173	1126	6	in	in	ADP
ap-5173	1126	7	engineering	engineering	NOUN
ap-5173	1126	8	&	&	CCONJ
ap-5173	1126	9	research	research	PROPN
ap-5173	1126	10	3(8):223–229	3(8):223–229	PROPN
ap-5173	1126	11	,	,	PUNCT
ap-5173	1126	12	2016	2016	NUM
ap-5173	1126	13	.	.	PUNCT
ap-5173	1127	1	doi:10.21884	doi:10.21884	PROPN
ap-5173	1127	2	/	/	SYM
ap-5173	1127	3	ijmter.2016.3027.7nuqv	ijmter.2016.3027.7nuqv	NOUN
ap-5173	1127	4	.	.	PUNCT
ap-5173	1128	1	[	[	X
ap-5173	1128	2	23	23	NUM
ap-5173	1128	3	]	]	PUNCT
ap-5173	1128	4	a.	a.	NOUN
ap-5173	1128	5	aryafar	aryafar	PROPN
ap-5173	1128	6	,	,	PUNCT
ap-5173	1128	7	r.	r.	PROPN
ap-5173	1128	8	gholami	gholami	PROPN
ap-5173	1128	9	,	,	PUNCT
ap-5173	1128	10	r.	r.	PROPN
ap-5173	1128	11	rooki	rooki	PROPN
ap-5173	1128	12	,	,	PUNCT
ap-5173	1128	13	f.	f.	PROPN
ap-5173	1128	14	d.	d.	PROPN
ap-5173	1128	15	ardejani	ardejani	PROPN
ap-5173	1128	16	.	.	PUNCT
ap-5173	1129	1	heavy	heavy	ADJ
ap-5173	1129	2	metal	metal	NOUN
ap-5173	1129	3	pollution	pollution	NOUN
ap-5173	1129	4	assessment	assessment	NOUN
ap-5173	1129	5	using	use	VERB
ap-5173	1129	6	support	support	NOUN
ap-5173	1129	7	vector	vector	NOUN
ap-5173	1129	8	machine	machine	NOUN
ap-5173	1129	9	in	in	ADP
ap-5173	1129	10	the	the	DET
ap-5173	1129	11	shur	shur	PROPN
ap-5173	1129	12	river	river	PROPN
ap-5173	1129	13	,	,	PUNCT
ap-5173	1129	14	sarcheshmeh	sarcheshmeh	VERB
ap-5173	1129	15	copper	copper	NOUN
ap-5173	1129	16	mine	mine	NOUN
ap-5173	1129	17	,	,	PUNCT
ap-5173	1129	18	iran	iran	PROPN
ap-5173	1129	19	.	.	PUNCT
ap-5173	1130	1	environmental	environmental	ADJ
ap-5173	1130	2	earth	earth	PROPN
ap-5173	1130	3	sciences	sciences	PROPN
ap-5173	1130	4	67(4):1191–1199	67(4):1191–1199	PROPN
ap-5173	1130	5	,	,	PUNCT
ap-5173	1130	6	2012	2012	NUM
ap-5173	1130	7	.	.	PUNCT
ap-5173	1131	1	doi:10.1007	doi:10.1007	VERB
ap-5173	1131	2	/	/	SYM
ap-5173	1131	3	s12665	s12665	NUM
ap-5173	1131	4	-	-	PUNCT
ap-5173	1131	5	012	012	NUM
ap-5173	1131	6	-	-	PUNCT
ap-5173	1131	7	1565	1565	NUM
ap-5173	1131	8	-	-	SYM
ap-5173	1131	9	7	7	NUM
ap-5173	1131	10	.	.	PUNCT
ap-5173	1132	1	[	[	X
ap-5173	1132	2	24	24	NUM
ap-5173	1132	3	]	]	X
ap-5173	1132	4	d.	d.	PROPN
ap-5173	1132	5	e.	e.	PROPN
ap-5173	1132	6	rumelhart	rumelhart	PROPN
ap-5173	1132	7	,	,	PUNCT
ap-5173	1132	8	g.	g.	PROPN
ap-5173	1132	9	e.	e.	PROPN
ap-5173	1132	10	hinton	hinton	PROPN
ap-5173	1132	11	,	,	PUNCT
ap-5173	1132	12	r.	r.	PROPN
ap-5173	1132	13	j.	j.	PROPN
ap-5173	1132	14	wiliams	wiliams	PROPN
ap-5173	1132	15	.	.	PUNCT
ap-5173	1133	1	learning	learn	VERB
ap-5173	1133	2	internal	internal	ADJ
ap-5173	1133	3	representation	representation	NOUN
ap-5173	1133	4	by	by	ADP
ap-5173	1133	5	error	error	NOUN
ap-5173	1133	6	propagation	propagation	NOUN
ap-5173	1133	7	.	.	PUNCT
ap-5173	1134	1	in	in	ADP
ap-5173	1134	2	:	:	PUNCT
ap-5173	1134	3	d.	d.	PROPN
ap-5173	1134	4	e.	e.	PROPN
ap-5173	1134	5	rumelhart	rumelhart	PROPN
ap-5173	1134	6	,	,	PUNCT
ap-5173	1134	7	j.	j.	PROPN
ap-5173	1134	8	l.	l.	PROPN
ap-5173	1134	9	mcclelland	mcclelland	PROPN
ap-5173	1134	10	,	,	PUNCT
ap-5173	1134	11	and	and	CCONJ
ap-5173	1134	12	pdp	pdp	PROPN
ap-5173	1134	13	research	research	NOUN
ap-5173	1134	14	group	group	NOUN
ap-5173	1134	15	.	.	PUNCT
ap-5173	1135	1	parallel	parallel	ADJ
ap-5173	1135	2	distributed	distribute	VERB
ap-5173	1135	3	processing	processing	NOUN
ap-5173	1135	4	.	.	PUNCT
ap-5173	1136	1	explorations	exploration	NOUN
ap-5173	1136	2	in	in	ADP
ap-5173	1136	3	the	the	DET
ap-5173	1136	4	microstructure	microstructure	NOUN
ap-5173	1136	5	of	of	ADP
ap-5173	1136	6	cognition	cognition	NOUN
ap-5173	1136	7	.	.	PUNCT
ap-5173	1137	1	vol	vol	NOUN
ap-5173	1137	2	1	1	NUM
ap-5173	1137	3	:	:	PUNCT
ap-5173	1137	4	foundation	foundation	NOUN
ap-5173	1137	5	,	,	PUNCT
ap-5173	1137	6	1987	1987	NUM
ap-5173	1137	7	.	.	PUNCT
ap-5173	1138	1	[	[	X
ap-5173	1138	2	25	25	NUM
ap-5173	1138	3	]	]	X
ap-5173	1138	4	g.	g.	PROPN
ap-5173	1138	5	sampson	sampson	PROPN
ap-5173	1138	6	,	,	PUNCT
ap-5173	1138	7	d.	d.	PROPN
ap-5173	1138	8	e.	e.	PROPN
ap-5173	1138	9	rumelhart	rumelhart	PROPN
ap-5173	1138	10	,	,	PUNCT
ap-5173	1138	11	j.	j.	PROPN
ap-5173	1138	12	l.	l.	PROPN
ap-5173	1138	13	mcclelland	mcclelland	PROPN
ap-5173	1138	14	,	,	PUNCT
ap-5173	1138	15	t.	t.	PROPN
ap-5173	1138	16	p.	p.	PROPN
ap-5173	1138	17	r.	r.	PROPN
ap-5173	1138	18	group	group	PROPN
ap-5173	1138	19	.	.	PUNCT
ap-5173	1139	1	parallel	parallel	ADJ
ap-5173	1139	2	distributed	distribute	VERB
ap-5173	1139	3	processing	processing	NOUN
ap-5173	1139	4	:	:	PUNCT
ap-5173	1139	5	explorations	exploration	NOUN
ap-5173	1139	6	in	in	ADP
ap-5173	1139	7	the	the	DET
ap-5173	1139	8	microstructures	microstructure	NOUN
ap-5173	1139	9	of	of	ADP
ap-5173	1139	10	cognition	cognition	NOUN
ap-5173	1139	11	.	.	PUNCT
ap-5173	1140	1	language	language	NOUN
ap-5173	1140	2	63(4):871	63(4):871	PROPN
ap-5173	1140	3	,	,	PUNCT
ap-5173	1140	4	1987	1987	NUM
ap-5173	1140	5	.	.	PUNCT
ap-5173	1141	1	doi:10.2307/415721	doi:10.2307/415721	NOUN
ap-5173	1141	2	.	.	PUNCT
ap-5173	1142	1	350	350	NUM
ap-5173	1142	2	http://dx.doi.org/10.1016/j.measurement.2014.01.036	http://dx.doi.org/10.1016/j.measurement.2014.01.036	NOUN
ap-5173	1142	3	http://dx.doi.org/10.5593/sgem2016/b21/s07.038	http://dx.doi.org/10.5593/sgem2016/b21/s07.038	NOUN
ap-5173	1142	4	http://dx.doi.org/10.1109/carpathiancc.2014.6843606	http://dx.doi.org/10.1109/carpathiancc.2014.6843606	VERB
ap-5173	1143	1	http://dx.doi.org/10.5593/sgem2016/b21/s07.052	http://dx.doi.org/10.5593/sgem2016/b21/s07.052	DET
ap-5173	1143	2	http://dx.doi.org/10.1007/978-1-84628-480-9	http://dx.doi.org/10.1007/978-1-84628-480-9	PROPN
ap-5173	1143	3	http://dx.doi.org/10.1109/icia.2006.305907	http://dx.doi.org/10.1109/icia.2006.305907	NOUN
ap-5173	1143	4	http://dx.doi.org/10.1016/j.jprocont.2013.12.001	http://dx.doi.org/10.1016/j.jprocont.2013.12.001	PROPN
ap-5173	1143	5	http://dx.doi.org/10.1016/j.jprocont.2015.08.002	http://dx.doi.org/10.1016/j.jprocont.2015.08.002	PROPN
ap-5173	1143	6	http://dx.doi.org/10.1109/tcst.2017.2692718	http://dx.doi.org/10.1109/tcst.2017.2692718	PROPN
ap-5173	1143	7	http://dx.doi.org/10.1109/tase.2013.2284545	http://dx.doi.org/10.1109/tase.2013.2284545	NOUN
ap-5173	1143	8	http://dx.doi.org/10.1109/icma.2006.257660	http://dx.doi.org/10.1109/icma.2006.257660	PROPN
ap-5173	1144	1	http://dx.doi.org/10.1016/s0016-2361(97)00122-1	http://dx.doi.org/10.1016/s0016-2361(97)00122-1	PROPN
ap-5173	1144	2	http://dx.doi.org/10.1109/icca.2014.6871060	http://dx.doi.org/10.1109/icca.2014.6871060	NOUN
ap-5173	1144	3	http://dx.doi.org/10.1109/carpathiancc.2016.7501135	http://dx.doi.org/10.1109/carpathiancc.2016.7501135	PROPN
ap-5173	1144	4	http://dx.doi.org/10.1109/carpathiancc.2016.7501134	http://dx.doi.org/10.1109/carpathiancc.2016.7501134	VERB
ap-5173	1144	5	http://dx.doi.org/10.1016/s0082-0784(77)80347-0	http://dx.doi.org/10.1016/s0082-0784(77)80347-0	ADP
ap-5173	1144	6	http://dx.doi.org/10.1109/icca.2013.6565140	http://dx.doi.org/10.1109/icca.2013.6565140	ADJ
ap-5173	1144	7	http://dx.doi.org/10.21884/ijmter.2016.3027.7nuqv	http://dx.doi.org/10.21884/ijmter.2016.3027.7nuqv	PROPN
ap-5173	1144	8	http://dx.doi.org/10.1007/s12665-012-1565-7	http://dx.doi.org/10.1007/s12665-012-1565-7	NUM
ap-5173	1144	9	http://dx.doi.org/10.2307/415721	http://dx.doi.org/10.2307/415721	PROPN
ap-5173	1144	10	vol	vol	NOUN
ap-5173	1144	11	.	.	PUNCT
ap-5173	1145	1	59	59	NUM
ap-5173	1145	2	no	no	NOUN
ap-5173	1145	3	.	.	PUNCT
ap-5173	1146	1	4/2019	4/2019	NUM
ap-5173	1146	2	a	a	DET
ap-5173	1146	3	comparative	comparative	ADJ
ap-5173	1146	4	study	study	NOUN
ap-5173	1146	5	of	of	ADP
ap-5173	1146	6	data	data	NOUN
ap-5173	1146	7	-	-	PUNCT
ap-5173	1146	8	driven	drive	VERB
ap-5173	1146	9	modeling	modeling	NOUN
ap-5173	1146	10	methods	method	NOUN
ap-5173	1146	11	.	.	PUNCT
ap-5173	1146	12	.	.	PUNCT
ap-5173	1146	13	.	.	PUNCT
ap-5173	1147	1	[	[	X
ap-5173	1147	2	26	26	NUM
ap-5173	1147	3	]	]	PUNCT
ap-5173	1147	4	t.	t.	PROPN
ap-5173	1147	5	hastie	hastie	PROPN
ap-5173	1147	6	,	,	PUNCT
ap-5173	1147	7	r.	r.	PROPN
ap-5173	1147	8	tibshirani	tibshirani	PROPN
ap-5173	1147	9	,	,	PUNCT
ap-5173	1147	10	j.	j.	PROPN
ap-5173	1147	11	friedman	friedman	PROPN
ap-5173	1147	12	.	.	PUNCT
ap-5173	1148	1	the	the	DET
ap-5173	1148	2	elements	element	NOUN
ap-5173	1148	3	of	of	ADP
ap-5173	1148	4	statistical	statistical	ADJ
ap-5173	1148	5	learning	learning	NOUN
ap-5173	1148	6	data	datum	NOUN
ap-5173	1148	7	mining	mining	NOUN
ap-5173	1148	8	,	,	PUNCT
ap-5173	1148	9	inference	inference	NOUN
ap-5173	1148	10	,	,	PUNCT
ap-5173	1148	11	and	and	CCONJ
ap-5173	1148	12	prediction	prediction	NOUN
ap-5173	1148	13	,	,	PUNCT
ap-5173	1148	14	second	second	ADJ
ap-5173	1148	15	edition	edition	NOUN
ap-5173	1148	16	.	.	PUNCT
ap-5173	1149	1	springer	springer	PROPN
ap-5173	1149	2	new	new	PROPN
ap-5173	1149	3	york	york	PROPN
ap-5173	1149	4	,	,	PUNCT
ap-5173	1149	5	2009	2009	NUM
ap-5173	1149	6	.	.	PUNCT
ap-5173	1150	1	doi:10.1007	doi:10.1007	PROPN
ap-5173	1150	2	/	/	SYM
ap-5173	1150	3	b94608	b94608	NOUN
ap-5173	1150	4	.	.	PUNCT
ap-5173	1151	1	[	[	X
ap-5173	1151	2	27	27	NUM
ap-5173	1151	3	]	]	X
ap-5173	1151	4	v.	v.	X
ap-5173	1151	5	kvasnička	kvasnička	PROPN
ap-5173	1151	6	,	,	PUNCT
ap-5173	1151	7	.	.	PUNCT
ap-5173	1152	1	beňušková	beňušková	PROPN
ap-5173	1152	2	,	,	PUNCT
ap-5173	1152	3	i.	i.	PROPN
ap-5173	1152	4	f.	f.	PROPN
ap-5173	1152	5	j.	j.	PROPN
ap-5173	1152	6	pospíchal	pospíchal	PROPN
ap-5173	1152	7	,	,	PUNCT
ap-5173	1152	8	et	et	PROPN
ap-5173	1152	9	al	al	PROPN
ap-5173	1152	10	.	.	PROPN
ap-5173	1152	11	úvod	úvod	PROPN
ap-5173	1152	12	do	do	AUX
ap-5173	1152	13	teórie	teórie	PROPN
ap-5173	1152	14	neurónových	neurónových	PROPN
ap-5173	1152	15	sietí	sietí	PROPN
ap-5173	1152	16	.	.	PUNCT
ap-5173	1152	17	iris	iris	PROPN
ap-5173	1152	18	,	,	PUNCT
ap-5173	1152	19	bratislava	bratislava	PROPN
ap-5173	1152	20	,	,	PUNCT
ap-5173	1152	21	1997	1997	NUM
ap-5173	1152	22	.	.	PUNCT
ap-5173	1153	1	[	[	X
ap-5173	1153	2	28	28	NUM
ap-5173	1153	3	]	]	X
ap-5173	1153	4	j.	j.	PROPN
ap-5173	1153	5	sedláček	sedláček	PROPN
ap-5173	1153	6	.	.	PUNCT
ap-5173	1154	1	úvod	úvod	PROPN
ap-5173	1154	2	do	do	AUX
ap-5173	1154	3	teorie	teorie	PROPN
ap-5173	1154	4	grafů	grafů	NOUN
ap-5173	1154	5	.	.	PUNCT
ap-5173	1155	1	academia	academia	PROPN
ap-5173	1155	2	,	,	PUNCT
ap-5173	1155	3	praha	praha	PROPN
ap-5173	1155	4	,	,	PUNCT
ap-5173	1155	5	1981	1981	NUM
ap-5173	1155	6	.	.	PUNCT
ap-5173	1156	1	[	[	X
ap-5173	1156	2	29	29	NUM
ap-5173	1156	3	]	]	PUNCT
ap-5173	1156	4	j.	j.	PROPN
ap-5173	1156	5	h.	h.	PROPN
ap-5173	1156	6	friedman	friedman	PROPN
ap-5173	1156	7	.	.	PUNCT
ap-5173	1157	1	multivariate	multivariate	VERB
ap-5173	1157	2	adaptive	adaptive	ADJ
ap-5173	1157	3	regression	regression	NOUN
ap-5173	1157	4	splines	spline	NOUN
ap-5173	1157	5	.	.	PUNCT
ap-5173	1158	1	the	the	DET
ap-5173	1158	2	annals	annal	NOUN
ap-5173	1158	3	of	of	ADP
ap-5173	1158	4	statistics	statistic	NOUN
ap-5173	1158	5	19(1):1–67	19(1):1–67	NUM
ap-5173	1158	6	,	,	PUNCT
ap-5173	1158	7	1991	1991	NUM
ap-5173	1158	8	.	.	PUNCT
ap-5173	1159	1	doi:10.1214	doi:10.1214	PROPN
ap-5173	1159	2	/	/	SYM
ap-5173	1159	3	aos/1176347963	aos/1176347963	NOUN
ap-5173	1159	4	.	.	PUNCT
ap-5173	1160	1	[	[	X
ap-5173	1160	2	30	30	NUM
ap-5173	1160	3	]	]	X
ap-5173	1160	4	p.	p.	NOUN
ap-5173	1160	5	sephton	sephton	NOUN
ap-5173	1160	6	.	.	PUNCT
ap-5173	1161	1	forecasting	forecast	VERB
ap-5173	1161	2	recessions	recession	NOUN
ap-5173	1161	3	:	:	PUNCT
ap-5173	1161	4	can	can	AUX
ap-5173	1161	5	we	we	PRON
ap-5173	1161	6	do	do	VERB
ap-5173	1161	7	better	well	ADV
ap-5173	1161	8	on	on	ADP
ap-5173	1161	9	mars	mar	NOUN
ap-5173	1161	10	?	?	PUNCT
ap-5173	1161	11	,	,	PUNCT
ap-5173	1161	12	2001	2001	NUM
ap-5173	1161	13	.	.	PUNCT
ap-5173	1162	1	[	[	X
ap-5173	1162	2	31	31	NUM
ap-5173	1162	3	]	]	PUNCT
ap-5173	1162	4	m.	m.	NOUN
ap-5173	1162	5	chugh	chugh	NOUN
ap-5173	1162	6	,	,	PUNCT
ap-5173	1162	7	s.	s.	PROPN
ap-5173	1162	8	s.	s.	PROPN
ap-5173	1162	9	thumsi	thumsi	PROPN
ap-5173	1162	10	,	,	PUNCT
ap-5173	1162	11	v.	v.	ADP
ap-5173	1162	12	keshri	keshri	PROPN
ap-5173	1162	13	.	.	PUNCT
ap-5173	1163	1	a	a	DET
ap-5173	1163	2	comparative	comparative	ADJ
ap-5173	1163	3	study	study	NOUN
ap-5173	1163	4	between	between	ADP
ap-5173	1163	5	least	least	ADJ
ap-5173	1163	6	square	square	ADJ
ap-5173	1163	7	support	support	NOUN
ap-5173	1163	8	vector	vector	NOUN
ap-5173	1163	9	machine(lssvm	machine(lssvm	PROPN
ap-5173	1163	10	)	)	PUNCT
ap-5173	1163	11	and	and	CCONJ
ap-5173	1163	12	multivariate	multivariate	VERB
ap-5173	1163	13	adaptive	adaptive	ADJ
ap-5173	1163	14	regression	regression	NOUN
ap-5173	1163	15	spline(mars	spline(mar	NOUN
ap-5173	1163	16	)	)	PUNCT
ap-5173	1163	17	methods	method	NOUN
ap-5173	1163	18	for	for	ADP
ap-5173	1163	19	the	the	DET
ap-5173	1163	20	measurement	measurement	NOUN
ap-5173	1163	21	of	of	ADP
ap-5173	1163	22	load	load	NOUN
ap-5173	1163	23	storing	store	VERB
ap-5173	1163	24	capacity	capacity	NOUN
ap-5173	1163	25	of	of	ADP
ap-5173	1163	26	driven	drive	VERB
ap-5173	1163	27	piles	pile	NOUN
ap-5173	1163	28	in	in	ADP
ap-5173	1163	29	cohesion	cohesion	NOUN
ap-5173	1163	30	less	less	ADJ
ap-5173	1163	31	soil	soil	NOUN
ap-5173	1163	32	.	.	PUNCT
ap-5173	1164	1	international	international	ADJ
ap-5173	1164	2	journal	journal	PROPN
ap-5173	1164	3	of	of	ADP
ap-5173	1164	4	structural	structural	ADJ
ap-5173	1164	5	and	and	CCONJ
ap-5173	1164	6	civil	civil	ADJ
ap-5173	1164	7	engineering	engineering	NOUN
ap-5173	1164	8	research	research	NOUN
ap-5173	1164	9	2015	2015	NUM
ap-5173	1164	10	.	.	PUNCT
ap-5173	1165	1	doi:10.18178	doi:10.18178	NOUN
ap-5173	1165	2	/	/	SYM
ap-5173	1165	3	ijscer.4.2.189	ijscer.4.2.189	PROPN
ap-5173	1165	4	-	-	PUNCT
ap-5173	1165	5	194	194	NUM
ap-5173	1165	6	.	.	PUNCT
ap-5173	1166	1	[	[	X
ap-5173	1166	2	32	32	NUM
ap-5173	1166	3	]	]	PUNCT
ap-5173	1166	4	v.	v.	PROPN
ap-5173	1166	5	r.	r.	PROPN
ap-5173	1166	6	tselykh	tselykh	PROPN
ap-5173	1166	7	.	.	PUNCT
ap-5173	1167	1	multivariate	multivariate	VERB
ap-5173	1167	2	adaptive	adaptive	ADJ
ap-5173	1167	3	regression	regression	NOUN
ap-5173	1167	4	splines	spline	NOUN
ap-5173	1167	5	.	.	PUNCT
ap-5173	1168	1	machine	machine	NOUN
ap-5173	1168	2	learning	learning	NOUN
ap-5173	1168	3	and	and	CCONJ
ap-5173	1168	4	data	datum	NOUN
ap-5173	1168	5	analysis	analysis	NOUN
ap-5173	1168	6	1(3):272–278	1(3):272–278	NUM
ap-5173	1168	7	,	,	PUNCT
ap-5173	1168	8	2012	2012	NUM
ap-5173	1168	9	.	.	PUNCT
ap-5173	1169	1	doi:10.21469/22233792	doi:10.21469/22233792	ADJ
ap-5173	1169	2	.	.	PUNCT
ap-5173	1170	1	[	[	X
ap-5173	1170	2	33	33	NUM
ap-5173	1170	3	]	]	PUNCT
ap-5173	1170	4	p.	p.	PROPN
ap-5173	1170	5	samui	samui	PROPN
ap-5173	1170	6	,	,	PUNCT
ap-5173	1170	7	d.	d.	PROPN
ap-5173	1170	8	p.	p.	PROPN
ap-5173	1170	9	kothari	kothari	PROPN
ap-5173	1170	10	.	.	PUNCT
ap-5173	1171	1	a	a	DET
ap-5173	1171	2	multivariate	multivariate	NOUN
ap-5173	1171	3	adaptive	adaptive	ADJ
ap-5173	1171	4	regression	regression	NOUN
ap-5173	1171	5	spline	spline	NOUN
ap-5173	1171	6	approach	approach	NOUN
ap-5173	1171	7	for	for	ADP
ap-5173	1171	8	prediction	prediction	NOUN
ap-5173	1171	9	of	of	ADP
ap-5173	1171	10	maximum	maximum	ADJ
ap-5173	1171	11	shear	shear	NOUN
ap-5173	1171	12	modulus	modulus	NOUN
ap-5173	1171	13	and	and	CCONJ
ap-5173	1171	14	minimum	minimum	ADJ
ap-5173	1171	15	damping	damp	VERB
ap-5173	1171	16	ratio	ratio	NOUN
ap-5173	1171	17	.	.	PUNCT
ap-5173	1172	1	engineering	engineering	NOUN
ap-5173	1172	2	journal	journal	PROPN
ap-5173	1172	3	16(5):69–78	16(5):69–78	NUM
ap-5173	1172	4	,	,	PUNCT
ap-5173	1172	5	2012	2012	NUM
ap-5173	1172	6	.	.	PUNCT
ap-5173	1173	1	doi:10.4186	doi:10.4186	PROPN
ap-5173	1173	2	/	/	SYM
ap-5173	1173	3	ej.2012.16.5.69	ej.2012.16.5.69	PROPN
ap-5173	1173	4	.	.	PUNCT
ap-5173	1174	1	[	[	X
ap-5173	1174	2	34	34	NUM
ap-5173	1174	3	]	]	X
ap-5173	1174	4	w.	w.	PROPN
ap-5173	1174	5	zhang	zhang	PROPN
ap-5173	1174	6	,	,	PUNCT
ap-5173	1174	7	a.	a.	PROPN
ap-5173	1174	8	t.	t.	PROPN
ap-5173	1174	9	c.	c.	PROPN
ap-5173	1174	10	goh	goh	PROPN
ap-5173	1174	11	.	.	PUNCT
ap-5173	1175	1	multivariate	multivariate	VERB
ap-5173	1175	2	adaptive	adaptive	ADJ
ap-5173	1175	3	regression	regression	NOUN
ap-5173	1175	4	splines	spline	NOUN
ap-5173	1175	5	and	and	CCONJ
ap-5173	1175	6	neural	neural	ADJ
ap-5173	1175	7	network	network	NOUN
ap-5173	1175	8	models	model	NOUN
ap-5173	1175	9	for	for	ADP
ap-5173	1175	10	prediction	prediction	NOUN
ap-5173	1175	11	of	of	ADP
ap-5173	1175	12	pile	pile	ADJ
ap-5173	1175	13	drivability	drivability	NOUN
ap-5173	1175	14	.	.	PUNCT
ap-5173	1176	1	geoscience	geoscience	NOUN
ap-5173	1176	2	frontiers	frontier	NOUN
ap-5173	1176	3	7(1):45–52	7(1):45–52	NUM
ap-5173	1176	4	,	,	PUNCT
ap-5173	1176	5	2016	2016	NUM
ap-5173	1176	6	.	.	PUNCT
ap-5173	1177	1	doi:10.1016	doi:10.1016	PROPN
ap-5173	1177	2	/	/	SYM
ap-5173	1177	3	j.gsf.2014.10.003	j.gsf.2014.10.003	PROPN
ap-5173	1177	4	.	.	PUNCT
ap-5173	1178	1	[	[	X
ap-5173	1178	2	35	35	NUM
ap-5173	1178	3	]	]	PUNCT
ap-5173	1178	4	a.	a.	NOUN
ap-5173	1178	5	abraham	abraham	PROPN
ap-5173	1178	6	,	,	PUNCT
ap-5173	1178	7	d.	d.	PROPN
ap-5173	1178	8	steinberg	steinberg	PROPN
ap-5173	1178	9	.	.	PUNCT
ap-5173	1179	1	mars	mars	PROPN
ap-5173	1179	2	:	:	PUNCT
ap-5173	1179	3	still	still	ADV
ap-5173	1179	4	an	an	DET
ap-5173	1179	5	alien	alien	ADJ
ap-5173	1179	6	planet	planet	NOUN
ap-5173	1179	7	in	in	ADP
ap-5173	1179	8	soft	soft	ADJ
ap-5173	1179	9	computing	computing	NOUN
ap-5173	1179	10	?	?	PUNCT
ap-5173	1180	1	in	in	ADP
ap-5173	1180	2	international	international	ADJ
ap-5173	1180	3	conference	conference	NOUN
ap-5173	1180	4	on	on	ADP
ap-5173	1180	5	computational	computational	ADJ
ap-5173	1180	6	science	science	NOUN
ap-5173	1180	7	iccs	iccs	NOUN
ap-5173	1180	8	(	(	PUNCT
ap-5173	1180	9	proceedings	proceeding	NOUN
ap-5173	1180	10	)	)	PUNCT
ap-5173	1180	11	,	,	PUNCT
ap-5173	1180	12	part	part	PROPN
ap-5173	1180	13	ii	ii	PROPN
ap-5173	1180	14	,	,	PUNCT
ap-5173	1180	15	vol	vol	NOUN
ap-5173	1180	16	.	.	PROPN
ap-5173	1180	17	2	2	NUM
ap-5173	1180	18	,	,	PUNCT
ap-5173	1180	19	pp	pp	ADJ
ap-5173	1180	20	.	.	PUNCT
ap-5173	1181	1	235–244	235–244	NUM
ap-5173	1181	2	.	.	PUNCT
ap-5173	1182	1	springer	springer	PROPN
ap-5173	1182	2	berlin	berlin	PROPN
ap-5173	1182	3	heidelberg	heidelberg	PROPN
ap-5173	1182	4	,	,	PUNCT
ap-5173	1182	5	2001	2001	NUM
ap-5173	1182	6	.	.	PUNCT
ap-5173	1183	1	doi:10.1007/3	doi:10.1007/3	PROPN
ap-5173	1183	2	-	-	PUNCT
ap-5173	1183	3	540	540	NUM
ap-5173	1183	4	-	-	PUNCT
ap-5173	1183	5	45718	45718	NUM
ap-5173	1183	6	-	-	PUNCT
ap-5173	1183	7	6\_27	6\_27	NOUN
ap-5173	1183	8	.	.	PUNCT
ap-5173	1184	1	[	[	X
ap-5173	1184	2	36	36	NUM
ap-5173	1184	3	]	]	X
ap-5173	1184	4	b.	b.	PROPN
ap-5173	1184	5	e.	e.	PROPN
ap-5173	1184	6	boser	boser	PROPN
ap-5173	1184	7	,	,	PUNCT
ap-5173	1184	8	i.	i.	PROPN
ap-5173	1184	9	m.	m.	PROPN
ap-5173	1184	10	guyon	guyon	PROPN
ap-5173	1184	11	,	,	PUNCT
ap-5173	1184	12	v.	v.	ADP
ap-5173	1184	13	n.	n.	PROPN
ap-5173	1184	14	vapnik	vapnik	PROPN
ap-5173	1184	15	.	.	PUNCT
ap-5173	1185	1	a	a	DET
ap-5173	1185	2	training	training	NOUN
ap-5173	1185	3	algorithm	algorithm	NOUN
ap-5173	1185	4	for	for	ADP
ap-5173	1185	5	optimal	optimal	ADJ
ap-5173	1185	6	margin	margin	NOUN
ap-5173	1185	7	classifiers	classifier	NOUN
ap-5173	1185	8	.	.	PUNCT
ap-5173	1186	1	in	in	ADP
ap-5173	1186	2	proceedings	proceeding	NOUN
ap-5173	1186	3	of	of	ADP
ap-5173	1186	4	the	the	DET
ap-5173	1186	5	5th	5th	ADJ
ap-5173	1186	6	annual	annual	ADJ
ap-5173	1186	7	acm	acm	NOUN
ap-5173	1186	8	workshop	workshop	NOUN
ap-5173	1186	9	on	on	ADP
ap-5173	1186	10	computational	computational	ADJ
ap-5173	1186	11	learning	learning	NOUN
ap-5173	1186	12	theory	theory	NOUN
ap-5173	1186	13	colt’92	colt’92	PROPN
ap-5173	1186	14	,	,	PUNCT
ap-5173	1186	15	pittsburgh	pittsburgh	PROPN
ap-5173	1186	16	,	,	PUNCT
ap-5173	1186	17	pa	pa	PROPN
ap-5173	1186	18	,	,	PUNCT
ap-5173	1186	19	pp	pp	PROPN
ap-5173	1186	20	.	.	PUNCT
ap-5173	1187	1	144–152	144–152	NUM
ap-5173	1187	2	.	.	PUNCT
ap-5173	1187	3	acm	acm	PROPN
ap-5173	1187	4	press	press	PROPN
ap-5173	1187	5	,	,	PUNCT
ap-5173	1187	6	1992	1992	NUM
ap-5173	1187	7	.	.	PUNCT
ap-5173	1188	1	doi:10.1145/130385.130401	doi:10.1145/130385.130401	NOUN
ap-5173	1188	2	.	.	PUNCT
ap-5173	1189	1	[	[	X
ap-5173	1189	2	37	37	NUM
ap-5173	1189	3	]	]	PUNCT
ap-5173	1189	4	v.	v.	ADP
ap-5173	1189	5	n.	n.	PROPN
ap-5173	1189	6	vapnik	vapnik	X
ap-5173	1189	7	.	.	PUNCT
ap-5173	1190	1	constructing	construct	VERB
ap-5173	1190	2	learning	learn	VERB
ap-5173	1190	3	algorithms	algorithm	NOUN
ap-5173	1190	4	.	.	PUNCT
ap-5173	1191	1	in	in	ADP
ap-5173	1191	2	the	the	DET
ap-5173	1191	3	nature	nature	NOUN
ap-5173	1191	4	of	of	ADP
ap-5173	1191	5	statistical	statistical	ADJ
ap-5173	1191	6	learning	learning	NOUN
ap-5173	1191	7	theory	theory	NOUN
ap-5173	1191	8	,	,	PUNCT
ap-5173	1191	9	pp	pp	ADJ
ap-5173	1191	10	.	.	PUNCT
ap-5173	1192	1	119–166	119–166	NUM
ap-5173	1192	2	.	.	PUNCT
ap-5173	1192	3	springer	springer	PROPN
ap-5173	1192	4	verlag	verlag	PROPN
ap-5173	1192	5	,	,	PUNCT
ap-5173	1192	6	new	new	PROPN
ap-5173	1192	7	york	york	PROPN
ap-5173	1192	8	,	,	PUNCT
ap-5173	1192	9	1995	1995	NUM
ap-5173	1192	10	.	.	PUNCT
ap-5173	1193	1	doi:10.1007/978	doi:10.1007/978	ADJ
ap-5173	1193	2	-	-	PUNCT
ap-5173	1193	3	1	1	NUM
ap-5173	1193	4	-	-	PUNCT
ap-5173	1193	5	4757	4757	NUM
ap-5173	1193	6	-	-	PUNCT
ap-5173	1193	7	2440	2440	NUM
ap-5173	1193	8	-	-	PUNCT
ap-5173	1193	9	0\_6	0\_6	PROPN
ap-5173	1193	10	.	.	PUNCT
ap-5173	1194	1	[	[	X
ap-5173	1194	2	38	38	NUM
ap-5173	1194	3	]	]	PUNCT
ap-5173	1194	4	k.	k.	PROPN
ap-5173	1194	5	r.	r.	PROPN
ap-5173	1194	6	müller	müller	PROPN
ap-5173	1194	7	,	,	PUNCT
ap-5173	1194	8	a.	a.	PROPN
ap-5173	1194	9	j.	j.	PROPN
ap-5173	1194	10	smola	smola	PROPN
ap-5173	1194	11	,	,	PUNCT
ap-5173	1194	12	g.	g.	PROPN
ap-5173	1194	13	rätsch	rätsch	PROPN
ap-5173	1194	14	,	,	PUNCT
ap-5173	1194	15	et	et	PROPN
ap-5173	1194	16	al	al	PROPN
ap-5173	1194	17	.	.	PROPN
ap-5173	1194	18	predicting	predict	VERB
ap-5173	1194	19	time	time	NOUN
ap-5173	1194	20	series	series	PROPN
ap-5173	1194	21	with	with	ADP
ap-5173	1194	22	support	support	NOUN
ap-5173	1194	23	vector	vector	NOUN
ap-5173	1194	24	machines	machine	NOUN
ap-5173	1194	25	.	.	PUNCT
ap-5173	1195	1	in	in	ADP
ap-5173	1195	2	lecture	lecture	NOUN
ap-5173	1195	3	notes	note	NOUN
ap-5173	1195	4	in	in	ADP
ap-5173	1195	5	computer	computer	NOUN
ap-5173	1195	6	science	science	NOUN
ap-5173	1195	7	,	,	PUNCT
ap-5173	1195	8	pp	pp	ADP
ap-5173	1195	9	.	.	PUNCT
ap-5173	1196	1	999–1004	999–1004	X
ap-5173	1196	2	.	.	PUNCT
ap-5173	1196	3	springer	springer	PROPN
ap-5173	1196	4	berlin	berlin	PROPN
ap-5173	1196	5	heidelberg	heidelberg	PROPN
ap-5173	1196	6	,	,	PUNCT
ap-5173	1196	7	1997	1997	NUM
ap-5173	1196	8	.	.	PUNCT
ap-5173	1197	1	doi:10.1007	doi:10.1007	VERB
ap-5173	1197	2	/	/	SYM
ap-5173	1197	3	bfb0020283	bfb0020283	NOUN
ap-5173	1197	4	.	.	PUNCT
ap-5173	1198	1	[	[	X
ap-5173	1198	2	39	39	NUM
ap-5173	1198	3	]	]	PUNCT
ap-5173	1198	4	j.	j.	PROPN
ap-5173	1198	5	kačur	kačur	PROPN
ap-5173	1198	6	,	,	PUNCT
ap-5173	1198	7	m.	m.	NOUN
ap-5173	1198	8	laciak	laciak	PROPN
ap-5173	1198	9	,	,	PUNCT
ap-5173	1198	10	m.	m.	NOUN
ap-5173	1198	11	durdán	durdán	PROPN
ap-5173	1198	12	,	,	PUNCT
ap-5173	1198	13	p.	p.	NOUN
ap-5173	1198	14	flegner	flegner	NOUN
ap-5173	1198	15	.	.	PUNCT
ap-5173	1199	1	utilization	utilization	NOUN
ap-5173	1199	2	of	of	ADP
ap-5173	1199	3	machine	machine	NOUN
ap-5173	1199	4	learning	learning	NOUN
ap-5173	1199	5	method	method	NOUN
ap-5173	1199	6	in	in	ADP
ap-5173	1199	7	prediction	prediction	NOUN
ap-5173	1199	8	of	of	ADP
ap-5173	1199	9	ucg	ucg	PROPN
ap-5173	1199	10	data	data	PROPN
ap-5173	1199	11	.	.	PUNCT
ap-5173	1200	1	in	in	ADP
ap-5173	1200	2	iccc	iccc	PROPN
ap-5173	1200	3	2017	2017	NUM
ap-5173	1200	4	:	:	PUNCT
ap-5173	1200	5	18th	18th	ADJ
ap-5173	1200	6	international	international	ADJ
ap-5173	1200	7	carpathian	carpathian	PROPN
ap-5173	1200	8	control	control	PROPN
ap-5173	1200	9	conference	conference	PROPN
ap-5173	1200	10	,	,	PUNCT
ap-5173	1200	11	pp	pp	X
ap-5173	1200	12	.	.	PUNCT
ap-5173	1201	1	1–6	1–6	NUM
ap-5173	1201	2	.	.	X
ap-5173	1201	3	ieee	ieee	PROPN
ap-5173	1201	4	,	,	PUNCT
ap-5173	1201	5	2017	2017	NUM
ap-5173	1201	6	.	.	PUNCT
ap-5173	1202	1	doi:10.1109	doi:10.1109	VERB
ap-5173	1202	2	/	/	SYM
ap-5173	1202	3	carpathiancc.2017.7970411	carpathiancc.2017.7970411	PROPN
ap-5173	1202	4	.	.	PUNCT
ap-5173	1203	1	[	[	X
ap-5173	1203	2	40	40	NUM
ap-5173	1203	3	]	]	PUNCT
ap-5173	1203	4	mathworks	mathworks	PROPN
ap-5173	1203	5	.	.	PUNCT
ap-5173	1204	1	understanding	understand	VERB
ap-5173	1204	2	support	support	NOUN
ap-5173	1204	3	vector	vector	NOUN
ap-5173	1204	4	machine	machine	NOUN
ap-5173	1204	5	regression	regression	NOUN
ap-5173	1204	6	,	,	PUNCT
ap-5173	1204	7	in	in	ADP
ap-5173	1204	8	:	:	PUNCT
ap-5173	1204	9	statistics	statistic	NOUN
ap-5173	1204	10	and	and	CCONJ
ap-5173	1204	11	machine	machine	NOUN
ap-5173	1204	12	learning	learn	VERB
ap-5173	1204	13	toolbox	toolbox	NOUN
ap-5173	1204	14	user	user	NOUN
ap-5173	1204	15	’s	’s	PART
ap-5173	1204	16	guide	guide	NOUN
ap-5173	1204	17	(	(	PUNCT
ap-5173	1204	18	r2018ab	r2018ab	PROPN
ap-5173	1204	19	)	)	PUNCT
ap-5173	1204	20	.	.	PUNCT
ap-5173	1205	1	regression.html	regression.html	NOUN
ap-5173	1205	2	,	,	PUNCT
ap-5173	1205	3	2018	2018	NUM
ap-5173	1205	4	.	.	PUNCT
ap-5173	1206	1	[	[	X
ap-5173	1206	2	41	41	NUM
ap-5173	1206	3	]	]	X
ap-5173	1206	4	j.	j.	PROPN
ap-5173	1206	5	kačur	kačur	PROPN
ap-5173	1206	6	,	,	PUNCT
ap-5173	1206	7	k.	k.	PROPN
ap-5173	1206	8	kostúr	kostúr	PROPN
ap-5173	1206	9	.	.	PUNCT
ap-5173	1207	1	approaches	approach	NOUN
ap-5173	1207	2	to	to	ADP
ap-5173	1207	3	the	the	DET
ap-5173	1207	4	gas	gas	NOUN
ap-5173	1207	5	control	control	NOUN
ap-5173	1207	6	in	in	ADP
ap-5173	1207	7	ucg	ucg	PROPN
ap-5173	1207	8	.	.	PUNCT
ap-5173	1208	1	acta	acta	PROPN
ap-5173	1208	2	polytechnica	polytechnica	PROPN
ap-5173	1208	3	57(3	57(3	NUM
ap-5173	1208	4	)	)	PUNCT
ap-5173	1208	5	,	,	PUNCT
ap-5173	1208	6	2017	2017	NUM
ap-5173	1208	7	.	.	PUNCT
ap-5173	1209	1	doi:10.14311	doi:10.14311	NOUN
ap-5173	1209	2	/	/	SYM
ap-5173	1209	3	ap.2017.57.0182	ap.2017.57.0182	PROPN
ap-5173	1209	4	.	.	PUNCT
ap-5173	1210	1	[	[	X
ap-5173	1210	2	42	42	NUM
ap-5173	1210	3	]	]	PUNCT
ap-5173	1210	4	m.	m.	NOUN
ap-5173	1210	5	laciak	laciak	PROPN
ap-5173	1210	6	,	,	PUNCT
ap-5173	1210	7	k.	k.	PROPN
ap-5173	1210	8	kostúr	kostúr	PROPN
ap-5173	1210	9	,	,	PUNCT
ap-5173	1210	10	m.	m.	PROPN
ap-5173	1210	11	durdán	durdán	PROPN
ap-5173	1210	12	,	,	PUNCT
ap-5173	1210	13	et	et	PROPN
ap-5173	1210	14	al	al	PROPN
ap-5173	1210	15	.	.	PUNCT
ap-5173	1211	1	the	the	DET
ap-5173	1211	2	analysis	analysis	NOUN
ap-5173	1211	3	of	of	ADP
ap-5173	1211	4	the	the	DET
ap-5173	1211	5	underground	underground	ADJ
ap-5173	1211	6	coal	coal	NOUN
ap-5173	1211	7	gasification	gasification	NOUN
ap-5173	1211	8	in	in	ADP
ap-5173	1211	9	experimental	experimental	ADJ
ap-5173	1211	10	equipment	equipment	NOUN
ap-5173	1211	11	.	.	PUNCT
ap-5173	1212	1	energy	energy	NOUN
ap-5173	1212	2	114:332–343	114:332–343	PROPN
ap-5173	1212	3	,	,	PUNCT
ap-5173	1212	4	2016	2016	NUM
ap-5173	1212	5	.	.	PUNCT
ap-5173	1213	1	doi:10.1016	doi:10.1016	PROPN
ap-5173	1213	2	/	/	SYM
ap-5173	1213	3	j.energy.2016.08.004	j.energy.2016.08.004	PROPN
ap-5173	1213	4	.	.	PUNCT
ap-5173	1214	1	[	[	X
ap-5173	1214	2	43	43	NUM
ap-5173	1214	3	]	]	X
ap-5173	1214	4	r.	r.	PROPN
ap-5173	1214	5	l.	l.	PROPN
ap-5173	1214	6	i.	i.	PROPN
ap-5173	1214	7	dobbs	dobbs	PROPN
ap-5173	1214	8	,	,	PUNCT
ap-5173	1214	9	w.	w.	PROPN
ap-5173	1214	10	b.	b.	PROPN
ap-5173	1214	11	krantz	krantz	PROPN
ap-5173	1214	12	.	.	PUNCT
ap-5173	1215	1	combustion	combustion	NOUN
ap-5173	1215	2	front	front	ADJ
ap-5173	1215	3	propagation	propagation	NOUN
ap-5173	1215	4	in	in	ADP
ap-5173	1215	5	underground	underground	ADJ
ap-5173	1215	6	coal	coal	NOUN
ap-5173	1215	7	gasification	gasification	NOUN
ap-5173	1215	8	,	,	PUNCT
ap-5173	1215	9	final	final	ADJ
ap-5173	1215	10	report	report	NOUN
ap-5173	1215	11	,	,	PUNCT
ap-5173	1215	12	work	work	NOUN
ap-5173	1215	13	performed	perform	VERB
ap-5173	1215	14	under	under	ADP
ap-5173	1215	15	grant	grant	NOUN
ap-5173	1215	16	no	no	INTJ
ap-5173	1215	17	.	.	PUNCT
ap-5173	1216	1	de	de	ADJ
ap-5173	1216	2	-	-	NOUN
ap-5173	1216	3	fg22	fg22	ADJ
ap-5173	1216	4	-	-	PUNCT
ap-5173	1216	5	86pc90512	86pc90512	NUM
ap-5173	1216	6	.	.	PUNCT
ap-5173	1217	1	technical	technical	ADJ
ap-5173	1217	2	report	report	PROPN
ap-5173	1217	3	,	,	PUNCT
ap-5173	1217	4	university	university	NOUN
ap-5173	1217	5	of	of	ADP
ap-5173	1217	6	colorado	colorado	PROPN
ap-5173	1217	7	,	,	PUNCT
ap-5173	1217	8	boulder	boulder	PROPN
ap-5173	1217	9	department	department	PROPN
ap-5173	1217	10	of	of	ADP
ap-5173	1217	11	chemical	chemical	PROPN
ap-5173	1217	12	engineering	engineering	NOUN
ap-5173	1217	13	,	,	PUNCT
ap-5173	1217	14	1990	1990	NUM
ap-5173	1217	15	.	.	PUNCT
ap-5173	1218	1	doi:10.2172/6035494	doi:10.2172/6035494	NOUN
ap-5173	1218	2	.	.	PUNCT
ap-5173	1219	1	[	[	X
ap-5173	1219	2	44	44	NUM
ap-5173	1219	3	]	]	PUNCT
ap-5173	1219	4	k.	k.	PROPN
ap-5173	1219	5	stańczyk	stańczyk	PROPN
ap-5173	1219	6	,	,	PUNCT
ap-5173	1219	7	a.	a.	NOUN
ap-5173	1219	8	smoliński	smoliński	PROPN
ap-5173	1219	9	,	,	PUNCT
ap-5173	1219	10	k.	k.	PROPN
ap-5173	1219	11	kapusta	kapusta	PROPN
ap-5173	1219	12	,	,	PUNCT
ap-5173	1219	13	et	et	PROPN
ap-5173	1219	14	al	al	PROPN
ap-5173	1219	15	.	.	PUNCT
ap-5173	1219	16	dynamic	dynamic	ADJ
ap-5173	1219	17	experimental	experimental	ADJ
ap-5173	1219	18	simulation	simulation	NOUN
ap-5173	1219	19	of	of	ADP
ap-5173	1219	20	hydrogen	hydrogen	PROPN
ap-5173	1219	21	oriented	orient	VERB
ap-5173	1219	22	underground	underground	ADJ
ap-5173	1219	23	gasification	gasification	NOUN
ap-5173	1219	24	of	of	ADP
ap-5173	1219	25	lignite	lignite	PROPN
ap-5173	1219	26	.	.	PUNCT
ap-5173	1220	1	fuel	fuel	NOUN
ap-5173	1220	2	89(11):3307–3314	89(11):3307–3314	PROPN
ap-5173	1220	3	,	,	PUNCT
ap-5173	1220	4	2010	2010	NUM
ap-5173	1220	5	.	.	PUNCT
ap-5173	1221	1	doi:10.1016	doi:10.1016	PROPN
ap-5173	1221	2	/	/	SYM
ap-5173	1221	3	j.fuel.2010.03.004	j.fuel.2010.03.004	PROPN
ap-5173	1221	4	.	.	PUNCT
ap-5173	1222	1	[	[	X
ap-5173	1222	2	45	45	NUM
ap-5173	1222	3	]	]	PUNCT
ap-5173	1222	4	k.	k.	PROPN
ap-5173	1222	5	kostúr	kostúr	PROPN
ap-5173	1222	6	,	,	PUNCT
ap-5173	1222	7	j.	j.	PROPN
ap-5173	1222	8	kačur	kačur	PROPN
ap-5173	1222	9	.	.	PUNCT
ap-5173	1223	1	developing	develop	VERB
ap-5173	1223	2	of	of	ADP
ap-5173	1223	3	optimal	optimal	ADJ
ap-5173	1223	4	control	control	NOUN
ap-5173	1223	5	system	system	NOUN
ap-5173	1223	6	for	for	ADP
ap-5173	1223	7	ucg	ucg	PROPN
ap-5173	1223	8	.	.	PUNCT
ap-5173	1224	1	in	in	ADP
ap-5173	1224	2	proceedings	proceeding	NOUN
ap-5173	1224	3	of	of	ADP
ap-5173	1224	4	the	the	DET
ap-5173	1224	5	13th	13th	ADJ
ap-5173	1224	6	international	international	ADJ
ap-5173	1224	7	carpathian	carpathian	PROPN
ap-5173	1224	8	control	control	PROPN
ap-5173	1224	9	conference	conference	PROPN
ap-5173	1224	10	(	(	PUNCT
ap-5173	1224	11	iccc	iccc	PROPN
ap-5173	1224	12	)	)	PUNCT
ap-5173	1224	13	,	,	PUNCT
ap-5173	1224	14	pp	pp	ADP
ap-5173	1224	15	.	.	PUNCT
ap-5173	1225	1	347–352	347–352	NUM
ap-5173	1225	2	.	.	X
ap-5173	1225	3	ieee	ieee	PROPN
ap-5173	1225	4	,	,	PUNCT
ap-5173	1225	5	2012	2012	NUM
ap-5173	1225	6	.	.	PUNCT
ap-5173	1226	1	doi:10.1109	doi:10.1109	VERB
ap-5173	1226	2	/	/	SYM
ap-5173	1226	3	carpathiancc.2012.6228666	carpathiancc.2012.6228666	NOUN
ap-5173	1226	4	.	.	PUNCT
ap-5173	1227	1	[	[	X
ap-5173	1227	2	46	46	NUM
ap-5173	1227	3	]	]	PUNCT
ap-5173	1227	4	k.	k.	PROPN
ap-5173	1227	5	kostúr	kostúr	PROPN
ap-5173	1227	6	,	,	PUNCT
ap-5173	1227	7	j.	j.	PROPN
ap-5173	1227	8	kačur	kačur	PROPN
ap-5173	1227	9	.	.	PUNCT
ap-5173	1228	1	development	development	NOUN
ap-5173	1228	2	of	of	ADP
ap-5173	1228	3	control	control	NOUN
ap-5173	1228	4	and	and	CCONJ
ap-5173	1228	5	monitoring	monitor	VERB
ap-5173	1228	6	system	system	NOUN
ap-5173	1228	7	of	of	ADP
ap-5173	1228	8	ucg	ucg	NOUN
ap-5173	1228	9	by	by	ADP
ap-5173	1228	10	promotic	promotic	ADJ
ap-5173	1228	11	.	.	PUNCT
ap-5173	1229	1	in	in	ADP
ap-5173	1229	2	2011	2011	NUM
ap-5173	1229	3	12th	12th	NOUN
ap-5173	1229	4	international	international	ADJ
ap-5173	1229	5	carpathian	carpathian	PROPN
ap-5173	1229	6	control	control	PROPN
ap-5173	1229	7	conference	conference	PROPN
ap-5173	1229	8	(	(	PUNCT
ap-5173	1229	9	iccc	iccc	PROPN
ap-5173	1229	10	)	)	PUNCT
ap-5173	1229	11	,	,	PUNCT
ap-5173	1229	12	pp	pp	ADP
ap-5173	1229	13	.	.	PUNCT
ap-5173	1230	1	215–219	215–219	NUM
ap-5173	1230	2	.	.	PUNCT
ap-5173	1231	1	ieee	ieee	NOUN
ap-5173	1231	2	,	,	PUNCT
ap-5173	1231	3	2011	2011	NUM
ap-5173	1231	4	.	.	PUNCT
ap-5173	1232	1	doi:10.1109	doi:10.1109	PROPN
ap-5173	1232	2	/	/	SYM
ap-5173	1232	3	carpathiancc.2011.5945850	carpathiancc.2011.5945850	PROPN
ap-5173	1232	4	.	.	PUNCT
ap-5173	1233	1	[	[	X
ap-5173	1233	2	47	47	NUM
ap-5173	1233	3	]	]	PUNCT
ap-5173	1233	4	a.	a.	PROPN
ap-5173	1233	5	h.	h.	PROPN
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ap-5173	1233	7	,	,	PUNCT
ap-5173	1233	8	d.	d.	PROPN
ap-5173	1233	9	a.	a.	PROPN
ap-5173	1233	10	roke	roke	PROPN
ap-5173	1233	11	.	.	PUNCT
ap-5173	1234	1	intelligent	intelligent	ADJ
ap-5173	1234	2	formulation	formulation	NOUN
ap-5173	1234	3	of	of	ADP
ap-5173	1234	4	structural	structural	ADJ
ap-5173	1234	5	engineering	engineering	NOUN
ap-5173	1234	6	systems	system	NOUN
ap-5173	1234	7	.	.	PUNCT
ap-5173	1235	1	in	in	ADP
ap-5173	1235	2	seventh	seventh	ADJ
ap-5173	1235	3	mit	mit	NOUN
ap-5173	1235	4	conference	conference	NOUN
ap-5173	1235	5	on	on	ADP
ap-5173	1235	6	computational	computational	ADJ
ap-5173	1235	7	fluid	fluid	NOUN
ap-5173	1235	8	and	and	CCONJ
ap-5173	1235	9	solid	solid	ADJ
ap-5173	1235	10	mechanics	mechanic	NOUN
ap-5173	1235	11	-	-	PUNCT
ap-5173	1235	12	focus	focus	NOUN
ap-5173	1235	13	:	:	PUNCT
ap-5173	1235	14	multiphysics	multiphysic	NOUN
ap-5173	1235	15	and	and	CCONJ
ap-5173	1235	16	multiscale	multiscale	ADJ
ap-5173	1235	17	,	,	PUNCT
ap-5173	1235	18	pp	pp	PROPN
ap-5173	1235	19	.	.	PUNCT
ap-5173	1236	1	n	n	CCONJ
ap-5173	1236	2	/	/	SYM
ap-5173	1236	3	a	a	PRON
ap-5173	1236	4	–	–	PUNCT
ap-5173	1236	5	n	n	CCONJ
ap-5173	1236	6	/	/	SYM
ap-5173	1236	7	a.	a.	NOUN
ap-5173	1236	8	cambridge	cambridge	PROPN
ap-5173	1236	9	,	,	PUNCT
ap-5173	1236	10	usa	usa	PROPN
ap-5173	1236	11	,	,	PUNCT
ap-5173	1236	12	2013	2013	NUM
ap-5173	1236	13	.	.	PUNCT
ap-5173	1237	1	[	[	X
ap-5173	1237	2	48	48	NUM
ap-5173	1237	3	]	]	PUNCT
ap-5173	1237	4	a.	a.	NOUN
ap-5173	1237	5	h.	h.	PROPN
ap-5173	1237	6	gandomi	gandomi	PROPN
ap-5173	1237	7	,	,	PUNCT
ap-5173	1237	8	d.	d.	PROPN
ap-5173	1237	9	a.	a.	PROPN
ap-5173	1237	10	roke	roke	PROPN
ap-5173	1237	11	.	.	PUNCT
ap-5173	1238	1	assessment	assessment	NOUN
ap-5173	1238	2	of	of	ADP
ap-5173	1238	3	artificial	artificial	ADJ
ap-5173	1238	4	neural	neural	ADJ
ap-5173	1238	5	network	network	NOUN
ap-5173	1238	6	and	and	CCONJ
ap-5173	1238	7	genetic	genetic	ADJ
ap-5173	1238	8	programming	programming	NOUN
ap-5173	1238	9	as	as	ADP
ap-5173	1238	10	predictive	predictive	ADJ
ap-5173	1238	11	tools	tool	NOUN
ap-5173	1238	12	.	.	PUNCT
ap-5173	1239	1	advances	advance	NOUN
ap-5173	1239	2	in	in	ADP
ap-5173	1239	3	engineering	engineering	NOUN
ap-5173	1239	4	software	software	NOUN
ap-5173	1239	5	88:63–72	88:63–72	NUM
ap-5173	1239	6	,	,	PUNCT
ap-5173	1239	7	2015	2015	NUM
ap-5173	1239	8	.	.	PUNCT
ap-5173	1240	1	doi:10.1016	doi:10.1016	PROPN
ap-5173	1240	2	/	/	SYM
ap-5173	1240	3	j.advengsoft.2015.05.007	j.advengsoft.2015.05.007	PROPN
ap-5173	1240	4	.	.	PUNCT
ap-5173	1241	1	351	351	NUM
ap-5173	1241	2	http://dx.doi.org/10.1007/b94608	http://dx.doi.org/10.1007/b94608	NOUN
ap-5173	1241	3	http://dx.doi.org/10.1214/aos/1176347963	http://dx.doi.org/10.1214/aos/1176347963	PROPN
ap-5173	1241	4	http://dx.doi.org/10.18178/ijscer.4.2.189-194	http://dx.doi.org/10.18178/ijscer.4.2.189-194	PROPN
ap-5173	1241	5	http://dx.doi.org/10.21469/22233792	http://dx.doi.org/10.21469/22233792	NOUN
ap-5173	1241	6	http://dx.doi.org/10.4186/ej.2012.16.5.69	http://dx.doi.org/10.4186/ej.2012.16.5.69	PROPN
ap-5173	1241	7	http://dx.doi.org/10.1016/j.gsf.2014.10.003	http://dx.doi.org/10.1016/j.gsf.2014.10.003	PROPN
ap-5173	1241	8	http://dx.doi.org/10.1007/3-540-45718-6\_27	http://dx.doi.org/10.1007/3-540-45718-6\_27	PROPN
ap-5173	1241	9	http://dx.doi.org/10.1145/130385.130401	http://dx.doi.org/10.1145/130385.130401	PROPN
ap-5173	1241	10	http://dx.doi.org/10.1007/978-1-4757-2440-0\_6	http://dx.doi.org/10.1007/978-1-4757-2440-0\_6	X
ap-5173	1241	11	http://dx.doi.org/10.1007/bfb0020283	http://dx.doi.org/10.1007/bfb0020283	PROPN
ap-5173	1242	1	http://dx.doi.org/10.1109/carpathiancc.2017.7970411	http://dx.doi.org/10.1109/carpathiancc.2017.7970411	INTJ
ap-5173	1242	2	http://dx.doi.org/10.14311/ap.2017.57.0182	http://dx.doi.org/10.14311/ap.2017.57.0182	NOUN
ap-5173	1242	3	http://dx.doi.org/10.1016/j.energy.2016.08.004	http://dx.doi.org/10.1016/j.energy.2016.08.004	PROPN
ap-5173	1242	4	http://dx.doi.org/10.2172/6035494	http://dx.doi.org/10.2172/6035494	AUX
ap-5173	1242	5	http://dx.doi.org/10.1016/j.fuel.2010.03.004	http://dx.doi.org/10.1016/j.fuel.2010.03.004	PROPN
ap-5173	1243	1	http://dx.doi.org/10.1109/carpathiancc.2012.6228666	http://dx.doi.org/10.1109/carpathiancc.2012.6228666	NOUN
ap-5173	1243	2	http://dx.doi.org/10.1109/carpathiancc.2011.5945850	http://dx.doi.org/10.1109/carpathiancc.2011.5945850	VERB
ap-5173	1243	3	http://dx.doi.org/10.1016/j.advengsoft.2015.05.007	http://dx.doi.org/10.1016/j.advengsoft.2015.05.007	ADJ
ap-5173	1243	4	acta	acta	PROPN
ap-5173	1243	5	polytechnica	polytechnica	PROPN
ap-5173	1243	6	59(4):322–351	59(4):322–351	PROPN
ap-5173	1243	7	,	,	PUNCT
ap-5173	1243	8	2019	2019	NUM
ap-5173	1243	9	1	1	NUM
ap-5173	1243	10	introduction	introduction	NOUN
ap-5173	1243	11	1.1	1.1	NUM
ap-5173	1243	12	understanding	understand	VERB
ap-5173	1243	13	ucg	ucg	PROPN
ap-5173	1243	14	technology	technology	PROPN
ap-5173	1243	15	1.2	1.2	NUM
ap-5173	1243	16	measurement	measurement	NOUN
ap-5173	1243	17	and	and	CCONJ
ap-5173	1243	18	monitoring	monitoring	NOUN
ap-5173	1243	19	in	in	ADP
ap-5173	1243	20	ucg	ucg	PROPN
ap-5173	1243	21	1.3	1.3	NUM
ap-5173	1243	22	modeling	modeling	NOUN
ap-5173	1243	23	and	and	CCONJ
ap-5173	1243	24	prediction	prediction	NOUN
ap-5173	1243	25	in	in	ADP
ap-5173	1243	26	ucg	ucg	PROPN
ap-5173	1243	27	2	2	NUM
ap-5173	1243	28	analysis	analysis	NOUN
ap-5173	1243	29	of	of	ADP
ap-5173	1243	30	selected	select	VERB
ap-5173	1243	31	modeling	modeling	NOUN
ap-5173	1243	32	methods	method	NOUN
ap-5173	1243	33	2.1	2.1	NUM
ap-5173	1243	34	multilayer	multilayer	ADJ
ap-5173	1243	35	feed	feed	NOUN
ap-5173	1243	36	-	-	PUNCT
ap-5173	1243	37	forward	forward	NOUN
ap-5173	1243	38	neural	neural	ADJ
ap-5173	1243	39	networks	network	NOUN
ap-5173	1243	40	2.2	2.2	NUM
ap-5173	1243	41	multivariate	multivariate	NOUN
ap-5173	1243	42	adaptive	adaptive	ADJ
ap-5173	1243	43	regression	regression	NOUN
ap-5173	1243	44	splines	spline	VERB
ap-5173	1243	45	2.3	2.3	NUM
ap-5173	1243	46	support	support	NOUN
ap-5173	1243	47	vector	vector	NOUN
ap-5173	1243	48	regression	regression	NOUN
ap-5173	1243	49	3	3	NUM
ap-5173	1243	50	experimental	experimental	ADJ
ap-5173	1243	51	ucg	ucg	NOUN
ap-5173	1243	52	in	in	ADP
ap-5173	1243	53	ex	ex	ADJ
ap-5173	1243	54	-	-	ADJ
ap-5173	1243	55	situ	situ	ADJ
ap-5173	1243	56	reactor	reactor	NOUN
ap-5173	1243	57	4	4	NUM
ap-5173	1243	58	results	result	NOUN
ap-5173	1243	59	and	and	CCONJ
ap-5173	1243	60	discussion	discussion	NOUN
ap-5173	1243	61	4.1	4.1	NUM
ap-5173	1243	62	prediction	prediction	NOUN
ap-5173	1243	63	by	by	ADP
ap-5173	1243	64	the	the	DET
ap-5173	1243	65	back	back	ADJ
ap-5173	1243	66	-	-	PUNCT
ap-5173	1243	67	propagation	propagation	NOUN
ap-5173	1243	68	nn	nn	NOUN
ap-5173	1243	69	4.2	4.2	NUM
ap-5173	1243	70	prediction	prediction	NOUN
ap-5173	1243	71	by	by	ADP
ap-5173	1243	72	the	the	DET
ap-5173	1243	73	mars	mar	NOUN
ap-5173	1243	74	4.3	4.3	NUM
ap-5173	1243	75	prediction	prediction	NOUN
ap-5173	1243	76	by	by	ADP
ap-5173	1243	77	the	the	DET
ap-5173	1243	78	support	support	NOUN
ap-5173	1243	79	vector	vector	NOUN
ap-5173	1243	80	regression	regression	NOUN
ap-5173	1243	81	4.4	4.4	NUM
ap-5173	1243	82	overall	overall	ADJ
ap-5173	1243	83	results	result	NOUN
ap-5173	1243	84	5	5	NUM
ap-5173	1243	85	summary	summary	NOUN
ap-5173	1243	86	and	and	CCONJ
ap-5173	1243	87	conclusions	conclusion	VERB
ap-5173	1243	88	acknowledgements	acknowledgement	NOUN
ap-5173	1243	89	references	reference	NOUN