id	sid	tid	token	lemma	pos
ijassa-754	1	1	adv	adv	PROPN
ijassa-754	1	2	syst	syst	PROPN
ijassa-754	1	3	sci	sci	PROPN
ijassa-754	1	4	appl	appl	PROPN
ijassa-754	1	5	2019	2019	NUM
ijassa-754	1	6	;	;	PUNCT
ijassa-754	1	7	04	04	NUM
ijassa-754	1	8	;	;	PUNCT
ijassa-754	1	9	14	14	NUM
ijassa-754	1	10	-	-	SYM
ijassa-754	1	11	24	24	NUM
ijassa-754	1	12	published	publish	VERB
ijassa-754	1	13	online	online	ADV
ijassa-754	1	14	at	at	ADP
ijassa-754	1	15	http://ijassa.ipu.ru/index.php/ijassa/article/view/754	http://ijassa.ipu.ru/index.php/ijassa/article/view/754	ADV
ijassa-754	1	16	distributed	distribute	VERB
ijassa-754	1	17	data	datum	NOUN
ijassa-754	1	18	gathering	gathering	NOUN
ijassa-754	1	19	system	system	NOUN
ijassa-754	1	20	to	to	PART
ijassa-754	1	21	analyze	analyze	VERB
ijassa-754	1	22	natural	natural	ADJ
ijassa-754	1	23	gas	gas	NOUN
ijassa-754	1	24	composition	composition	NOUN
ijassa-754	1	25	ivan	ivan	PROPN
ijassa-754	1	26	brokarev1	brokarev1	PROPN
ijassa-754	1	27	*	*	PROPN
ijassa-754	1	28	,	,	PUNCT
ijassa-754	1	29	sergei	sergei	ADJ
ijassa-754	1	30	vaskovskii2	vaskovskii2	PROPN
ijassa-754	1	31	1	1	NUM
ijassa-754	1	32	)	)	PUNCT
ijassa-754	1	33	national	national	ADJ
ijassa-754	1	34	university	university	NOUN
ijassa-754	1	35	of	of	ADP
ijassa-754	1	36	oil	oil	NOUN
ijassa-754	1	37	and	and	CCONJ
ijassa-754	1	38	gas	gas	NOUN
ijassa-754	1	39	«	«	PUNCT
ijassa-754	1	40	gubkin	gubkin	ADJ
ijassa-754	1	41	university	university	NOUN
ijassa-754	1	42	»	»	NOUN
ijassa-754	1	43	,	,	PUNCT
ijassa-754	1	44	moscow	moscow	PROPN
ijassa-754	1	45	,	,	PUNCT
ijassa-754	1	46	russia	russia	PROPN
ijassa-754	1	47	e	e	NOUN
ijassa-754	1	48	-	-	NOUN
ijassa-754	1	49	mail	mail	NOUN
ijassa-754	1	50	:	:	PUNCT
ijassa-754	1	51	brokarev.i@gubkin.ru	brokarev.i@gubkin.ru	VERB
ijassa-754	1	52	2	2	X
ijassa-754	1	53	)	)	PUNCT
ijassa-754	1	54	v.	v.	ADP
ijassa-754	1	55	a.	a.	NOUN
ijassa-754	1	56	trapeznikov	trapeznikov	PROPN
ijassa-754	1	57	institute	institute	PROPN
ijassa-754	1	58	of	of	ADP
ijassa-754	1	59	control	control	PROPN
ijassa-754	1	60	sciences	sciences	PROPN
ijassa-754	1	61	of	of	ADP
ijassa-754	1	62	russian	russian	ADJ
ijassa-754	1	63	academy	academy	PROPN
ijassa-754	1	64	of	of	ADP
ijassa-754	1	65	sciences	sciences	PROPN
ijassa-754	1	66	,	,	PUNCT
ijassa-754	1	67	moscow	moscow	PROPN
ijassa-754	1	68	,	,	PUNCT
ijassa-754	1	69	russia	russia	PROPN
ijassa-754	1	70	e	e	NOUN
ijassa-754	1	71	-	-	NOUN
ijassa-754	1	72	mail	mail	NOUN
ijassa-754	1	73	:	:	PUNCT
ijassa-754	1	74	v63v@yandex.ru	v63v@yandex.ru	PRON
ijassa-754	1	75	received	receive	VERB
ijassa-754	1	76	june	june	PROPN
ijassa-754	1	77	07	07	NUM
ijassa-754	1	78	,	,	PUNCT
ijassa-754	1	79	2019	2019	NUM
ijassa-754	1	80	;	;	PUNCT
ijassa-754	1	81	revised	revise	VERB
ijassa-754	1	82	september	september	PROPN
ijassa-754	1	83	30	30	NUM
ijassa-754	1	84	,	,	PUNCT
ijassa-754	1	85	2019	2019	NUM
ijassa-754	1	86	;	;	PUNCT
ijassa-754	1	87	published	publish	VERB
ijassa-754	1	88	december	december	PROPN
ijassa-754	1	89	31	31	NUM
ijassa-754	1	90	,	,	PUNCT
ijassa-754	1	91	2019	2019	NUM
ijassa-754	1	92	abstract	abstract	NOUN
ijassa-754	1	93	:	:	PUNCT
ijassa-754	1	94	problems	problem	NOUN
ijassa-754	1	95	of	of	ADP
ijassa-754	1	96	development	development	NOUN
ijassa-754	1	97	of	of	ADP
ijassa-754	1	98	gas	gas	NOUN
ijassa-754	1	99	analysis	analysis	NOUN
ijassa-754	1	100	system	system	NOUN
ijassa-754	1	101	based	base	VERB
ijassa-754	1	102	on	on	ADP
ijassa-754	1	103	computing	compute	VERB
ijassa-754	1	104	fabrics	fabric	NOUN
ijassa-754	1	105	have	have	AUX
ijassa-754	1	106	been	be	AUX
ijassa-754	1	107	studied	study	VERB
ijassa-754	1	108	.	.	PUNCT
ijassa-754	2	1	the	the	DET
ijassa-754	2	2	structure	structure	NOUN
ijassa-754	2	3	of	of	ADP
ijassa-754	2	4	the	the	DET
ijassa-754	2	5	data	datum	NOUN
ijassa-754	2	6	gathering	gathering	NOUN
ijassa-754	2	7	system	system	NOUN
ijassa-754	2	8	that	that	PRON
ijassa-754	2	9	will	will	AUX
ijassa-754	2	10	be	be	AUX
ijassa-754	2	11	used	use	VERB
ijassa-754	2	12	for	for	ADP
ijassa-754	2	13	the	the	DET
ijassa-754	2	14	natural	natural	ADJ
ijassa-754	2	15	gas	gas	NOUN
ijassa-754	2	16	composition	composition	NOUN
ijassa-754	2	17	analysis	analysis	NOUN
ijassa-754	2	18	is	be	AUX
ijassa-754	2	19	proposed	propose	VERB
ijassa-754	2	20	.	.	PUNCT
ijassa-754	3	1	the	the	DET
ijassa-754	3	2	most	most	ADV
ijassa-754	3	3	significant	significant	ADJ
ijassa-754	3	4	features	feature	NOUN
ijassa-754	3	5	and	and	CCONJ
ijassa-754	3	6	the	the	DET
ijassa-754	3	7	main	main	ADJ
ijassa-754	3	8	advantages	advantage	NOUN
ijassa-754	3	9	of	of	ADP
ijassa-754	3	10	the	the	DET
ijassa-754	3	11	proposed	propose	VERB
ijassa-754	3	12	system	system	NOUN
ijassa-754	3	13	are	be	AUX
ijassa-754	3	14	described	describe	VERB
ijassa-754	3	15	.	.	PUNCT
ijassa-754	4	1	the	the	DET
ijassa-754	4	2	most	most	ADV
ijassa-754	4	3	appropriate	appropriate	ADJ
ijassa-754	4	4	statistical	statistical	ADJ
ijassa-754	4	5	models	model	NOUN
ijassa-754	4	6	that	that	PRON
ijassa-754	4	7	can	can	AUX
ijassa-754	4	8	be	be	AUX
ijassa-754	4	9	used	use	VERB
ijassa-754	4	10	in	in	ADP
ijassa-754	4	11	solving	solve	VERB
ijassa-754	4	12	the	the	DET
ijassa-754	4	13	task	task	NOUN
ijassa-754	4	14	of	of	ADP
ijassa-754	4	15	natural	natural	ADJ
ijassa-754	4	16	gas	gas	NOUN
ijassa-754	4	17	composition	composition	NOUN
ijassa-754	4	18	analysis	analysis	NOUN
ijassa-754	4	19	are	be	AUX
ijassa-754	4	20	presented	present	VERB
ijassa-754	4	21	.	.	PUNCT
ijassa-754	5	1	the	the	DET
ijassa-754	5	2	consecutive	consecutive	ADJ
ijassa-754	5	3	stages	stage	NOUN
ijassa-754	5	4	for	for	ADP
ijassa-754	5	5	statistical	statistical	ADJ
ijassa-754	5	6	model	model	NOUN
ijassa-754	5	7	development	development	NOUN
ijassa-754	5	8	and	and	CCONJ
ijassa-754	5	9	correlation	correlation	NOUN
ijassa-754	5	10	analysis	analysis	NOUN
ijassa-754	5	11	results	result	NOUN
ijassa-754	5	12	are	be	AUX
ijassa-754	5	13	shown	show	VERB
ijassa-754	5	14	.	.	PUNCT
ijassa-754	6	1	algorithms	algorithm	NOUN
ijassa-754	6	2	have	have	AUX
ijassa-754	6	3	been	be	AUX
ijassa-754	6	4	developed	develop	VERB
ijassa-754	6	5	for	for	ADP
ijassa-754	6	6	effective	effective	ADJ
ijassa-754	6	7	solution	solution	NOUN
ijassa-754	6	8	for	for	ADP
ijassa-754	6	9	a	a	DET
ijassa-754	6	10	number	number	NOUN
ijassa-754	6	11	of	of	ADP
ijassa-754	6	12	gas	gas	NOUN
ijassa-754	6	13	analysis	analysis	NOUN
ijassa-754	6	14	tasks	task	NOUN
ijassa-754	6	15	for	for	ADP
ijassa-754	6	16	distributed	distribute	VERB
ijassa-754	6	17	systems	system	NOUN
ijassa-754	6	18	.	.	PUNCT
ijassa-754	7	1	the	the	DET
ijassa-754	7	2	mathematical	mathematical	ADJ
ijassa-754	7	3	basis	basis	NOUN
ijassa-754	7	4	of	of	ADP
ijassa-754	7	5	the	the	DET
ijassa-754	7	6	learning	learn	VERB
ijassa-754	7	7	algorithm	algorithm	NOUN
ijassa-754	7	8	and	and	CCONJ
ijassa-754	7	9	the	the	DET
ijassa-754	7	10	architecture	architecture	NOUN
ijassa-754	7	11	of	of	ADP
ijassa-754	7	12	the	the	DET
ijassa-754	7	13	proposed	propose	VERB
ijassa-754	7	14	neural	neural	ADJ
ijassa-754	7	15	network	network	NOUN
ijassa-754	7	16	model	model	NOUN
ijassa-754	7	17	are	be	AUX
ijassa-754	7	18	described	describe	VERB
ijassa-754	7	19	.	.	PUNCT
ijassa-754	8	1	the	the	DET
ijassa-754	8	2	different	different	ADJ
ijassa-754	8	3	training	training	NOUN
ijassa-754	8	4	completion	completion	NOUN
ijassa-754	8	5	cases	case	NOUN
ijassa-754	8	6	for	for	ADP
ijassa-754	8	7	the	the	DET
ijassa-754	8	8	developed	develop	VERB
ijassa-754	8	9	neural	neural	ADJ
ijassa-754	8	10	network	network	NOUN
ijassa-754	8	11	model	model	NOUN
ijassa-754	8	12	are	be	AUX
ijassa-754	8	13	shown	show	VERB
ijassa-754	8	14	.	.	PUNCT
ijassa-754	9	1	recommendations	recommendation	NOUN
ijassa-754	9	2	are	be	AUX
ijassa-754	9	3	made	make	VERB
ijassa-754	9	4	for	for	ADP
ijassa-754	9	5	effective	effective	ADJ
ijassa-754	9	6	application	application	NOUN
ijassa-754	9	7	of	of	ADP
ijassa-754	9	8	neural	neural	ADJ
ijassa-754	9	9	network	network	NOUN
ijassa-754	9	10	tools	tool	NOUN
ijassa-754	9	11	as	as	ADP
ijassa-754	9	12	the	the	DET
ijassa-754	9	13	main	main	ADJ
ijassa-754	9	14	models	model	NOUN
ijassa-754	9	15	for	for	ADP
ijassa-754	9	16	solving	solve	VERB
ijassa-754	9	17	the	the	DET
ijassa-754	9	18	task	task	NOUN
ijassa-754	9	19	of	of	ADP
ijassa-754	9	20	the	the	DET
ijassa-754	9	21	natural	natural	ADJ
ijassa-754	9	22	gas	gas	NOUN
ijassa-754	9	23	composition	composition	NOUN
ijassa-754	9	24	analysis	analysis	NOUN
ijassa-754	9	25	.	.	PUNCT
ijassa-754	10	1	opportunities	opportunity	NOUN
ijassa-754	10	2	for	for	ADP
ijassa-754	10	3	further	further	ADJ
ijassa-754	10	4	development	development	NOUN
ijassa-754	10	5	of	of	ADP
ijassa-754	10	6	the	the	DET
ijassa-754	10	7	proposed	propose	VERB
ijassa-754	10	8	system	system	NOUN
ijassa-754	10	9	are	be	AUX
ijassa-754	10	10	considered	consider	VERB
ijassa-754	10	11	.	.	PUNCT
ijassa-754	11	1	keywords	keyword	NOUN
ijassa-754	11	2	:	:	PUNCT
ijassa-754	11	3	distributed	distributed	ADJ
ijassa-754	11	4	systems	system	NOUN
ijassa-754	11	5	,	,	PUNCT
ijassa-754	11	6	data	datum	NOUN
ijassa-754	11	7	gathering	gathering	NOUN
ijassa-754	11	8	system	system	NOUN
ijassa-754	11	9	,	,	PUNCT
ijassa-754	11	10	composition	composition	NOUN
ijassa-754	11	11	analysis	analysis	NOUN
ijassa-754	11	12	,	,	PUNCT
ijassa-754	11	13	neural	neural	ADJ
ijassa-754	11	14	network	network	NOUN
ijassa-754	11	15	analysis	analysis	NOUN
ijassa-754	11	16	.	.	PUNCT
ijassa-754	12	1	1	1	X
ijassa-754	12	2	.	.	X
ijassa-754	12	3	introduction	introduction	NOUN
ijassa-754	12	4	currently	currently	ADV
ijassa-754	12	5	a	a	DET
ijassa-754	12	6	variety	variety	NOUN
ijassa-754	12	7	of	of	ADP
ijassa-754	12	8	different	different	ADJ
ijassa-754	12	9	gas	gas	NOUN
ijassa-754	12	10	analysis	analysis	NOUN
ijassa-754	12	11	systems	system	NOUN
ijassa-754	12	12	are	be	AUX
ijassa-754	12	13	under	under	ADP
ijassa-754	12	14	development	development	NOUN
ijassa-754	12	15	[	[	X
ijassa-754	12	16	2	2	NUM
ijassa-754	12	17	]	]	PUNCT
ijassa-754	12	18	.	.	PUNCT
ijassa-754	13	1	distributed	distribute	VERB
ijassa-754	13	2	small	small	ADJ
ijassa-754	13	3	size	size	NOUN
ijassa-754	13	4	computerized	computerized	NOUN
ijassa-754	13	5	systems	system	NOUN
ijassa-754	13	6	are	be	AUX
ijassa-754	13	7	widely	widely	ADV
ijassa-754	13	8	used	use	VERB
ijassa-754	13	9	to	to	PART
ijassa-754	13	10	develop	develop	VERB
ijassa-754	13	11	automatic	automatic	ADJ
ijassa-754	13	12	process	process	NOUN
ijassa-754	13	13	control	control	NOUN
ijassa-754	13	14	systems	system	NOUN
ijassa-754	13	15	including	include	VERB
ijassa-754	13	16	gas	gas	NOUN
ijassa-754	13	17	analysis	analysis	NOUN
ijassa-754	13	18	systems	system	NOUN
ijassa-754	13	19	.	.	PUNCT
ijassa-754	14	1	real	real	ADJ
ijassa-754	14	2	time	time	NOUN
ijassa-754	14	3	systems	system	NOUN
ijassa-754	14	4	are	be	AUX
ijassa-754	14	5	the	the	DET
ijassa-754	14	6	most	most	ADV
ijassa-754	14	7	effective	effective	ADJ
ijassa-754	14	8	systems	system	NOUN
ijassa-754	14	9	to	to	PART
ijassa-754	14	10	analyze	analyze	VERB
ijassa-754	14	11	gas	gas	NOUN
ijassa-754	14	12	.	.	PUNCT
ijassa-754	15	1	the	the	DET
ijassa-754	15	2	modcon	modcon	PROPN
ijassa-754	15	3	systems	systems	PROPN
ijassa-754	15	4	wireless	wireless	ADJ
ijassa-754	15	5	gas	gas	NOUN
ijassa-754	15	6	analysis	analysis	NOUN
ijassa-754	15	7	system	system	NOUN
ijassa-754	15	8	is	be	AUX
ijassa-754	15	9	one	one	NUM
ijassa-754	15	10	of	of	ADP
ijassa-754	15	11	them	they	PRON
ijassa-754	15	12	;	;	PUNCT
ijassa-754	15	13	the	the	DET
ijassa-754	15	14	system	system	NOUN
ijassa-754	15	15	monitors	monitor	VERB
ijassa-754	15	16	the	the	DET
ijassa-754	15	17	technological	technological	ADJ
ijassa-754	15	18	process	process	NOUN
ijassa-754	15	19	online	online	ADV
ijassa-754	16	1	[	[	X
ijassa-754	16	2	7	7	NUM
ijassa-754	16	3	]	]	PUNCT
ijassa-754	16	4	.	.	PUNCT
ijassa-754	17	1	however	however	ADV
ijassa-754	17	2	,	,	PUNCT
ijassa-754	17	3	in	in	ADP
ijassa-754	17	4	spite	spite	NOUN
ijassa-754	17	5	of	of	ADP
ijassa-754	17	6	the	the	DET
ijassa-754	17	7	past	past	ADJ
ijassa-754	17	8	gains	gain	NOUN
ijassa-754	17	9	in	in	ADP
ijassa-754	17	10	this	this	DET
ijassa-754	17	11	field	field	NOUN
ijassa-754	17	12	,	,	PUNCT
ijassa-754	17	13	it	it	PRON
ijassa-754	17	14	is	be	AUX
ijassa-754	17	15	time	time	NOUN
ijassa-754	17	16	-	-	PUNCT
ijassa-754	17	17	consuming	consume	VERB
ijassa-754	17	18	to	to	PART
ijassa-754	17	19	develop	develop	VERB
ijassa-754	17	20	distributed	distribute	VERB
ijassa-754	17	21	real	real	ADJ
ijassa-754	17	22	-	-	PUNCT
ijassa-754	17	23	time	time	NOUN
ijassa-754	17	24	control	control	NOUN
ijassa-754	17	25	and	and	CCONJ
ijassa-754	17	26	gas	gas	NOUN
ijassa-754	17	27	analysis	analysis	NOUN
ijassa-754	17	28	systems	system	NOUN
ijassa-754	17	29	.	.	PUNCT
ijassa-754	18	1	existing	exist	VERB
ijassa-754	18	2	systems	system	NOUN
ijassa-754	18	3	have	have	VERB
ijassa-754	18	4	a	a	DET
ijassa-754	18	5	number	number	NOUN
ijassa-754	18	6	of	of	ADP
ijassa-754	18	7	disadvantages	disadvantage	NOUN
ijassa-754	18	8	:	:	PUNCT
ijassa-754	18	9	it	it	PRON
ijassa-754	18	10	is	be	AUX
ijassa-754	18	11	necessary	necessary	ADJ
ijassa-754	18	12	to	to	PART
ijassa-754	18	13	use	use	VERB
ijassa-754	18	14	expensive	expensive	ADJ
ijassa-754	18	15	specialized	specialized	ADJ
ijassa-754	18	16	equipment	equipment	NOUN
ijassa-754	18	17	,	,	PUNCT
ijassa-754	18	18	the	the	DET
ijassa-754	18	19	system	system	NOUN
ijassa-754	18	20	is	be	AUX
ijassa-754	18	21	oriented	orient	VERB
ijassa-754	18	22	mainly	mainly	ADV
ijassa-754	18	23	to	to	PART
ijassa-754	18	24	monitor	monitor	VERB
ijassa-754	18	25	the	the	DET
ijassa-754	18	26	technological	technological	ADJ
ijassa-754	18	27	process	process	NOUN
ijassa-754	18	28	,	,	PUNCT
ijassa-754	18	29	the	the	DET
ijassa-754	18	30	system	system	NOUN
ijassa-754	18	31	detects	detect	VERB
ijassa-754	18	32	limited	limit	VERB
ijassa-754	18	33	amount	amount	NOUN
ijassa-754	18	34	of	of	ADP
ijassa-754	18	35	gas	gas	NOUN
ijassa-754	18	36	components	component	NOUN
ijassa-754	18	37	.	.	PUNCT
ijassa-754	19	1	so	so	ADV
ijassa-754	19	2	,	,	PUNCT
ijassa-754	19	3	it	it	PRON
ijassa-754	19	4	is	be	AUX
ijassa-754	19	5	worthwhile	worthwhile	ADJ
ijassa-754	19	6	to	to	PART
ijassa-754	19	7	develop	develop	VERB
ijassa-754	19	8	distributed	distribute	VERB
ijassa-754	19	9	gas	gas	NOUN
ijassa-754	19	10	analysis	analysis	NOUN
ijassa-754	19	11	systems	system	NOUN
ijassa-754	19	12	to	to	PART
ijassa-754	19	13	overcome	overcome	VERB
ijassa-754	19	14	these	these	DET
ijassa-754	19	15	shortcomings	shortcoming	NOUN
ijassa-754	19	16	.	.	PUNCT
ijassa-754	20	1	it	it	PRON
ijassa-754	20	2	is	be	AUX
ijassa-754	20	3	one	one	NUM
ijassa-754	20	4	of	of	ADP
ijassa-754	20	5	the	the	DET
ijassa-754	20	6	most	most	ADV
ijassa-754	20	7	complicated	complicated	ADJ
ijassa-754	20	8	task	task	NOUN
ijassa-754	20	9	to	to	PART
ijassa-754	20	10	develop	develop	VERB
ijassa-754	20	11	a	a	DET
ijassa-754	20	12	distributed	distribute	VERB
ijassa-754	20	13	hardware	hardware	NOUN
ijassa-754	20	14	and	and	CCONJ
ijassa-754	20	15	software	software	NOUN
ijassa-754	20	16	for	for	ADP
ijassa-754	20	17	distributed	distribute	VERB
ijassa-754	20	18	microcomputerized	microcomputerize	VERB
ijassa-754	20	19	systems	system	NOUN
ijassa-754	20	20	.	.	PUNCT
ijassa-754	21	1	the	the	DET
ijassa-754	21	2	main	main	ADJ
ijassa-754	21	3	task	task	NOUN
ijassa-754	21	4	solved	solve	VERB
ijassa-754	21	5	by	by	ADP
ijassa-754	21	6	a	a	DET
ijassa-754	21	7	distributed	distribute	VERB
ijassa-754	21	8	data	data	NOUN
ijassa-754	21	9	gathering	gathering	NOUN
ijassa-754	21	10	system	system	NOUN
ijassa-754	21	11	is	be	AUX
ijassa-754	21	12	to	to	PART
ijassa-754	21	13	provide	provide	VERB
ijassa-754	21	14	access	access	NOUN
ijassa-754	21	15	to	to	ADP
ijassa-754	21	16	a	a	DET
ijassa-754	21	17	large	large	ADJ
ijassa-754	21	18	amount	amount	NOUN
ijassa-754	21	19	of	of	ADP
ijassa-754	21	20	data	datum	NOUN
ijassa-754	21	21	in	in	ADP
ijassa-754	21	22	real	real	ADJ
ijassa-754	21	23	time	time	NOUN
ijassa-754	21	24	.	.	PUNCT
ijassa-754	22	1	this	this	DET
ijassa-754	22	2	paper	paper	NOUN
ijassa-754	22	3	describes	describe	VERB
ijassa-754	22	4	difficulties	difficulty	NOUN
ijassa-754	22	5	the	the	DET
ijassa-754	22	6	engineers	engineer	NOUN
ijassa-754	22	7	face	face	VERB
ijassa-754	22	8	while	while	SCONJ
ijassa-754	22	9	developing	develop	VERB
ijassa-754	22	10	a	a	DET
ijassa-754	22	11	distributed	distribute	VERB
ijassa-754	22	12	data	data	NOUN
ijassa-754	22	13	gathering	gathering	NOUN
ijassa-754	22	14	system	system	NOUN
ijassa-754	22	15	to	to	PART
ijassa-754	22	16	analyze	analyze	VERB
ijassa-754	22	17	natural	natural	ADJ
ijassa-754	22	18	gas	gas	NOUN
ijassa-754	22	19	composition	composition	NOUN
ijassa-754	22	20	;	;	PUNCT
ijassa-754	22	21	we	we	PRON
ijassa-754	22	22	take	take	VERB
ijassa-754	22	23	into	into	ADP
ijassa-754	22	24	account	account	NOUN
ijassa-754	22	25	the	the	DET
ijassa-754	22	26	specific	specific	ADJ
ijassa-754	22	27	features	feature	NOUN
ijassa-754	22	28	of	of	ADP
ijassa-754	22	29	such	such	ADJ
ijassa-754	22	30	systems	system	NOUN
ijassa-754	22	31	and	and	CCONJ
ijassa-754	22	32	how	how	SCONJ
ijassa-754	22	33	to	to	PART
ijassa-754	22	34	apply	apply	VERB
ijassa-754	22	35	neural	neural	ADJ
ijassa-754	22	36	network	network	NOUN
ijassa-754	22	37	tools	tool	NOUN
ijassa-754	22	38	to	to	PART
ijassa-754	22	39	investigate	investigate	VERB
ijassa-754	22	40	the	the	DET
ijassa-754	22	41	features	feature	NOUN
ijassa-754	22	42	.	.	PUNCT
ijassa-754	23	1	*	*	PUNCT
ijassa-754	23	2	corresponding	correspond	VERB
ijassa-754	23	3	author	author	NOUN
ijassa-754	23	4	:	:	PUNCT
ijassa-754	23	5	ivan	ivan	PROPN
ijassa-754	23	6	brokarev	brokarev	PROPN
ijassa-754	23	7	(	(	PUNCT
ijassa-754	23	8	brokarev.i@gubkin.ru	brokarev.i@gubkin.ru	ADJ
ijassa-754	23	9	)	)	PUNCT
ijassa-754	23	10	mailto:v63v@yandex.ru	mailto:v63v@yandex.ru	NOUN
ijassa-754	23	11	distributed	distribute	VERB
ijassa-754	23	12	data	datum	NOUN
ijassa-754	23	13	gathering	gathering	NOUN
ijassa-754	23	14	system	system	NOUN
ijassa-754	23	15	to	to	PART
ijassa-754	23	16	analyze	analyze	VERB
ijassa-754	23	17	natural	natural	ADJ
ijassa-754	23	18	gas	gas	NOUN
ijassa-754	23	19	composition	composition	NOUN
ijassa-754	23	20	15	15	NUM
ijassa-754	23	21	copyright	copyright	NOUN
ijassa-754	23	22	©	©	PROPN
ijassa-754	23	23	2019	2019	NUM
ijassa-754	23	24	assa	assa	NOUN
ijassa-754	23	25	.	.	PUNCT
ijassa-754	24	1	adv	adv	PROPN
ijassa-754	24	2	.	.	PUNCT
ijassa-754	25	1	in	in	ADP
ijassa-754	25	2	systems	system	NOUN
ijassa-754	25	3	science	science	NOUN
ijassa-754	25	4	and	and	CCONJ
ijassa-754	25	5	appl	appl	NOUN
ijassa-754	25	6	.	.	PUNCT
ijassa-754	26	1	(	(	PUNCT
ijassa-754	26	2	2019	2019	NUM
ijassa-754	26	3	)	)	PUNCT
ijassa-754	26	4	2	2	NUM
ijassa-754	26	5	.	.	X
ijassa-754	27	1	development	development	NOUN
ijassa-754	27	2	of	of	ADP
ijassa-754	27	3	the	the	DET
ijassa-754	27	4	distributed	distribute	VERB
ijassa-754	27	5	data	data	NOUN
ijassa-754	27	6	gathering	gathering	NOUN
ijassa-754	27	7	system	system	NOUN
ijassa-754	27	8	for	for	ADP
ijassa-754	27	9	natural	natural	ADJ
ijassa-754	27	10	gas	gas	NOUN
ijassa-754	27	11	composition	composition	NOUN
ijassa-754	27	12	let	let	VERB
ijassa-754	27	13	us	we	PRON
ijassa-754	27	14	see	see	VERB
ijassa-754	27	15	how	how	SCONJ
ijassa-754	27	16	to	to	PART
ijassa-754	27	17	develop	develop	VERB
ijassa-754	27	18	a	a	DET
ijassa-754	27	19	distributed	distribute	VERB
ijassa-754	27	20	data	data	NOUN
ijassa-754	27	21	gathering	gathering	NOUN
ijassa-754	27	22	system	system	NOUN
ijassa-754	27	23	to	to	PART
ijassa-754	27	24	analyze	analyze	VERB
ijassa-754	27	25	natural	natural	ADJ
ijassa-754	27	26	gas	gas	NOUN
ijassa-754	27	27	composition	composition	NOUN
ijassa-754	27	28	.	.	PUNCT
ijassa-754	28	1	we	we	PRON
ijassa-754	28	2	want	want	VERB
ijassa-754	28	3	the	the	DET
ijassa-754	28	4	system	system	NOUN
ijassa-754	28	5	to	to	PART
ijassa-754	28	6	be	be	AUX
ijassa-754	28	7	automated	automate	VERB
ijassa-754	28	8	and	and	CCONJ
ijassa-754	28	9	based	base	VERB
ijassa-754	28	10	on	on	ADP
ijassa-754	28	11	the	the	DET
ijassa-754	28	12	proposed	propose	VERB
ijassa-754	28	13	data	data	NOUN
ijassa-754	28	14	gathering	gathering	NOUN
ijassa-754	28	15	system	system	NOUN
ijassa-754	28	16	.	.	PUNCT
ijassa-754	29	1	the	the	DET
ijassa-754	29	2	automated	automate	VERB
ijassa-754	29	3	control	control	NOUN
ijassa-754	29	4	system	system	NOUN
ijassa-754	29	5	can	can	AUX
ijassa-754	29	6	be	be	AUX
ijassa-754	29	7	both	both	DET
ijassa-754	29	8	information	information	NOUN
ijassa-754	29	9	-	-	PUNCT
ijassa-754	29	10	logical	logical	ADJ
ijassa-754	29	11	system	system	NOUN
ijassa-754	29	12	to	to	PART
ijassa-754	29	13	monitor	monitor	VERB
ijassa-754	29	14	the	the	DET
ijassa-754	29	15	technological	technological	ADJ
ijassa-754	29	16	process	process	NOUN
ijassa-754	29	17	of	of	ADP
ijassa-754	29	18	gas	gas	NOUN
ijassa-754	29	19	transport	transport	NOUN
ijassa-754	29	20	and	and	CCONJ
ijassa-754	29	21	information	information	NOUN
ijassa-754	29	22	-	-	PUNCT
ijassa-754	29	23	computing	compute	VERB
ijassa-754	29	24	system	system	NOUN
ijassa-754	29	25	to	to	PART
ijassa-754	29	26	calculate	calculate	VERB
ijassa-754	29	27	a	a	DET
ijassa-754	29	28	number	number	NOUN
ijassa-754	29	29	of	of	ADP
ijassa-754	29	30	qualitative	qualitative	ADJ
ijassa-754	29	31	natural	natural	ADJ
ijassa-754	29	32	gas	gas	NOUN
ijassa-754	29	33	parameters	parameter	NOUN
ijassa-754	29	34	,	,	PUNCT
ijassa-754	29	35	for	for	ADP
ijassa-754	29	36	example	example	NOUN
ijassa-754	29	37	,	,	PUNCT
ijassa-754	29	38	the	the	DET
ijassa-754	29	39	gas	gas	NOUN
ijassa-754	29	40	calorific	calorific	NOUN
ijassa-754	29	41	value	value	NOUN
ijassa-754	29	42	.	.	PUNCT
ijassa-754	30	1	we	we	PRON
ijassa-754	30	2	suggest	suggest	VERB
ijassa-754	30	3	to	to	PART
ijassa-754	30	4	use	use	VERB
ijassa-754	30	5	a	a	DET
ijassa-754	30	6	multiplex	multiplex	NOUN
ijassa-754	30	7	data	datum	NOUN
ijassa-754	30	8	gathering	gathering	NOUN
ijassa-754	30	9	system	system	NOUN
ijassa-754	30	10	for	for	ADP
ijassa-754	30	11	the	the	DET
ijassa-754	30	12	task	task	NOUN
ijassa-754	30	13	.	.	PUNCT
ijassa-754	31	1	in	in	ADP
ijassa-754	31	2	particular	particular	ADJ
ijassa-754	31	3	,	,	PUNCT
ijassa-754	31	4	multiplex	multiplex	PROPN
ijassa-754	31	5	systems	system	NOUN
ijassa-754	31	6	,	,	PUNCT
ijassa-754	31	7	that	that	PRON
ijassa-754	31	8	utilize	utilize	VERB
ijassa-754	31	9	individual	individual	ADJ
ijassa-754	31	10	signal	signal	NOUN
ijassa-754	31	11	processing	processing	NOUN
ijassa-754	31	12	techniques	technique	NOUN
ijassa-754	31	13	at	at	ADP
ijassa-754	31	14	each	each	DET
ijassa-754	31	15	measuring	measure	VERB
ijassa-754	31	16	channel	channel	NOUN
ijassa-754	31	17	,	,	PUNCT
ijassa-754	31	18	are	be	AUX
ijassa-754	31	19	currently	currently	ADV
ijassa-754	31	20	the	the	DET
ijassa-754	31	21	most	most	ADV
ijassa-754	31	22	widespread	widespread	ADJ
ijassa-754	31	23	systems	system	NOUN
ijassa-754	31	24	.	.	PUNCT
ijassa-754	32	1	the	the	DET
ijassa-754	32	2	most	most	ADV
ijassa-754	32	3	important	important	ADJ
ijassa-754	32	4	features	feature	NOUN
ijassa-754	32	5	of	of	ADP
ijassa-754	32	6	distributed	distribute	VERB
ijassa-754	32	7	systems	system	NOUN
ijassa-754	32	8	are	be	AUX
ijassa-754	32	9	the	the	DET
ijassa-754	32	10	following	follow	VERB
ijassa-754	32	11	:	:	PUNCT
ijassa-754	32	12	•	•	NUM
ijassa-754	32	13	transparency	transparency	NOUN
ijassa-754	32	14	of	of	ADP
ijassa-754	32	15	the	the	DET
ijassa-754	32	16	system	system	NOUN
ijassa-754	32	17	–	–	PUNCT
ijassa-754	32	18	ability	ability	NOUN
ijassa-754	32	19	to	to	PART
ijassa-754	32	20	hide	hide	VERB
ijassa-754	32	21	physical	physical	ADJ
ijassa-754	32	22	distribution	distribution	NOUN
ijassa-754	32	23	of	of	ADP
ijassa-754	32	24	resources	resource	NOUN
ijassa-754	32	25	,	,	PUNCT
ijassa-754	32	26	errors	error	NOUN
ijassa-754	32	27	concerning	concern	VERB
ijassa-754	32	28	access	access	NOUN
ijassa-754	32	29	to	to	ADP
ijassa-754	32	30	resources	resource	NOUN
ijassa-754	32	31	and	and	CCONJ
ijassa-754	32	32	operation	operation	NOUN
ijassa-754	32	33	itself	itself	PRON
ijassa-754	32	34	,	,	PUNCT
ijassa-754	32	35	duplication	duplication	NOUN
ijassa-754	32	36	of	of	ADP
ijassa-754	32	37	resources	resource	NOUN
ijassa-754	32	38	,	,	PUNCT
ijassa-754	32	39	difficulties	difficulty	NOUN
ijassa-754	32	40	concerning	concern	VERB
ijassa-754	32	41	concurrent	concurrent	ADJ
ijassa-754	32	42	operation	operation	NOUN
ijassa-754	32	43	of	of	ADP
ijassa-754	32	44	several	several	ADJ
ijassa-754	32	45	users	user	NOUN
ijassa-754	32	46	with	with	ADP
ijassa-754	32	47	a	a	DET
ijassa-754	32	48	single	single	ADJ
ijassa-754	32	49	resource	resource	NOUN
ijassa-754	32	50	;	;	PUNCT
ijassa-754	33	1	•	•	NUM
ijassa-754	33	2	scalability	scalability	NOUN
ijassa-754	33	3	of	of	ADP
ijassa-754	33	4	the	the	DET
ijassa-754	33	5	system	system	NOUN
ijassa-754	33	6	–	–	PUNCT
ijassa-754	33	7	dependence	dependence	NOUN
ijassa-754	33	8	of	of	ADP
ijassa-754	33	9	system	system	NOUN
ijassa-754	33	10	characteristics	characteristic	NOUN
ijassa-754	33	11	on	on	ADP
ijassa-754	33	12	the	the	DET
ijassa-754	33	13	number	number	NOUN
ijassa-754	33	14	of	of	ADP
ijassa-754	33	15	its	its	PRON
ijassa-754	33	16	users	user	NOUN
ijassa-754	33	17	and	and	CCONJ
ijassa-754	33	18	involved	involved	ADJ
ijassa-754	33	19	resources	resource	NOUN
ijassa-754	33	20	;	;	PUNCT
ijassa-754	34	1	•	•	NUM
ijassa-754	34	2	system	system	NOUN
ijassa-754	34	3	security	security	NOUN
ijassa-754	34	4	–	–	PUNCT
ijassa-754	34	5	data	datum	NOUN
ijassa-754	34	6	integrity	integrity	NOUN
ijassa-754	34	7	protection	protection	NOUN
ijassa-754	34	8	,	,	PUNCT
ijassa-754	34	9	proper	proper	ADJ
ijassa-754	34	10	fall	fall	NOUN
ijassa-754	34	11	-	-	PUNCT
ijassa-754	34	12	over	over	ADP
ijassa-754	34	13	protection	protection	NOUN
ijassa-754	34	14	and	and	CCONJ
ijassa-754	34	15	error	error	NOUN
ijassa-754	34	16	recovery	recovery	NOUN
ijassa-754	34	17	capability	capability	NOUN
ijassa-754	34	18	;	;	PUNCT
ijassa-754	34	19	•	•	NUM
ijassa-754	34	20	openness	openness	NOUN
ijassa-754	34	21	of	of	ADP
ijassa-754	34	22	the	the	DET
ijassa-754	34	23	system	system	NOUN
ijassa-754	34	24	–	–	PUNCT
ijassa-754	34	25	availability	availability	NOUN
ijassa-754	34	26	of	of	ADP
ijassa-754	34	27	full	full	ADJ
ijassa-754	34	28	description	description	NOUN
ijassa-754	34	29	of	of	ADP
ijassa-754	34	30	interfaces	interface	NOUN
ijassa-754	34	31	and	and	CCONJ
ijassa-754	34	32	services	service	NOUN
ijassa-754	34	33	of	of	ADP
ijassa-754	34	34	system	system	NOUN
ijassa-754	34	35	operation	operation	NOUN
ijassa-754	34	36	;	;	PUNCT
ijassa-754	34	37	•	•	NUM
ijassa-754	34	38	system	system	NOUN
ijassa-754	34	39	real	real	ADJ
ijassa-754	34	40	-	-	PUNCT
ijassa-754	34	41	time	time	NOUN
ijassa-754	34	42	operation	operation	NOUN
ijassa-754	34	43	–	–	PUNCT
ijassa-754	34	44	ability	ability	NOUN
ijassa-754	34	45	to	to	PART
ijassa-754	34	46	respond	respond	VERB
ijassa-754	34	47	to	to	ADP
ijassa-754	34	48	unpredictable	unpredictable	ADJ
ijassa-754	34	49	flow	flow	NOUN
ijassa-754	34	50	of	of	ADP
ijassa-754	34	51	external	external	ADJ
ijassa-754	34	52	events	event	NOUN
ijassa-754	34	53	within	within	ADP
ijassa-754	34	54	predictable	predictable	ADJ
ijassa-754	34	55	time	time	NOUN
ijassa-754	34	56	.	.	PUNCT
ijassa-754	35	1	it	it	PRON
ijassa-754	35	2	should	should	AUX
ijassa-754	35	3	be	be	AUX
ijassa-754	35	4	noted	note	VERB
ijassa-754	35	5	that	that	SCONJ
ijassa-754	35	6	such	such	ADJ
ijassa-754	35	7	features	feature	NOUN
ijassa-754	35	8	are	be	AUX
ijassa-754	35	9	inherent	inherent	ADJ
ijassa-754	35	10	for	for	ADP
ijassa-754	35	11	the	the	DET
ijassa-754	35	12	majority	majority	NOUN
ijassa-754	35	13	of	of	ADP
ijassa-754	35	14	distributed	distribute	VERB
ijassa-754	35	15	systems	system	NOUN
ijassa-754	35	16	that	that	PRON
ijassa-754	35	17	can	can	AUX
ijassa-754	35	18	be	be	AUX
ijassa-754	35	19	applied	apply	VERB
ijassa-754	35	20	to	to	PART
ijassa-754	35	21	analyze	analyze	VERB
ijassa-754	35	22	gas	gas	NOUN
ijassa-754	35	23	.	.	PUNCT
ijassa-754	36	1	the	the	DET
ijassa-754	36	2	main	main	ADJ
ijassa-754	36	3	differences	difference	NOUN
ijassa-754	36	4	of	of	ADP
ijassa-754	36	5	the	the	DET
ijassa-754	36	6	proposed	propose	VERB
ijassa-754	36	7	system	system	NOUN
ijassa-754	36	8	from	from	ADP
ijassa-754	36	9	the	the	DET
ijassa-754	36	10	existing	exist	VERB
ijassa-754	36	11	systems	system	NOUN
ijassa-754	36	12	are	be	AUX
ijassa-754	36	13	commercially	commercially	ADV
ijassa-754	36	14	available	available	ADJ
ijassa-754	36	15	and	and	CCONJ
ijassa-754	36	16	relatively	relatively	ADV
ijassa-754	36	17	inexpensive	inexpensive	ADJ
ijassa-754	36	18	sensors	sensor	NOUN
ijassa-754	36	19	as	as	ADP
ijassa-754	36	20	hardware	hardware	NOUN
ijassa-754	36	21	components	component	NOUN
ijassa-754	36	22	.	.	PUNCT
ijassa-754	37	1	in	in	ADP
ijassa-754	37	2	addition	addition	NOUN
ijassa-754	37	3	,	,	PUNCT
ijassa-754	37	4	our	our	PRON
ijassa-754	37	5	system	system	NOUN
ijassa-754	37	6	is	be	AUX
ijassa-754	37	7	able	able	ADJ
ijassa-754	37	8	to	to	PART
ijassa-754	37	9	compute	compute	VERB
ijassa-754	37	10	in	in	ADP
ijassa-754	37	11	real	real	ADJ
ijassa-754	37	12	-	-	PUNCT
ijassa-754	37	13	time	time	NOUN
ijassa-754	37	14	a	a	DET
ijassa-754	37	15	number	number	NOUN
ijassa-754	37	16	of	of	ADP
ijassa-754	37	17	natural	natural	ADJ
ijassa-754	37	18	gas	gas	NOUN
ijassa-754	37	19	energy	energy	NOUN
ijassa-754	37	20	characteristics	characteristic	NOUN
ijassa-754	37	21	,	,	PUNCT
ijassa-754	37	22	including	include	VERB
ijassa-754	37	23	its	its	PRON
ijassa-754	37	24	calorific	calorific	ADJ
ijassa-754	37	25	value	value	NOUN
ijassa-754	37	26	.	.	PUNCT
ijassa-754	38	1	finally	finally	ADV
ijassa-754	38	2	,	,	PUNCT
ijassa-754	38	3	our	our	PRON
ijassa-754	38	4	system	system	NOUN
ijassa-754	38	5	can	can	AUX
ijassa-754	38	6	detect	detect	VERB
ijassa-754	38	7	main	main	ADJ
ijassa-754	38	8	natural	natural	ADJ
ijassa-754	38	9	gas	gas	NOUN
ijassa-754	38	10	components	component	NOUN
ijassa-754	38	11	(	(	PUNCT
ijassa-754	38	12	for	for	ADP
ijassa-754	38	13	example	example	NOUN
ijassa-754	38	14	,	,	PUNCT
ijassa-754	38	15	eight	eight	NUM
ijassa-754	38	16	components	component	NOUN
ijassa-754	38	17	should	should	AUX
ijassa-754	38	18	be	be	AUX
ijassa-754	38	19	detected	detect	VERB
ijassa-754	38	20	for	for	ADP
ijassa-754	38	21	russian	russian	ADJ
ijassa-754	38	22	natural	natural	ADJ
ijassa-754	38	23	gas	gas	NOUN
ijassa-754	39	1	[	[	X
ijassa-754	39	2	1	1	NUM
ijassa-754	39	3	]	]	NUM
ijassa-754	39	4	)	)	PUNCT
ijassa-754	39	5	.	.	PUNCT
ijassa-754	40	1	all	all	DET
ijassa-754	40	2	these	these	PRON
ijassa-754	40	3	can	can	AUX
ijassa-754	40	4	be	be	AUX
ijassa-754	40	5	detected	detect	VERB
ijassa-754	40	6	and	and	CCONJ
ijassa-754	40	7	computed	compute	VERB
ijassa-754	40	8	in	in	ADP
ijassa-754	40	9	real	real	ADJ
ijassa-754	40	10	-	-	PUNCT
ijassa-754	40	11	time	time	NOUN
ijassa-754	40	12	.	.	PUNCT
ijassa-754	41	1	when	when	SCONJ
ijassa-754	41	2	developing	develop	VERB
ijassa-754	41	3	the	the	DET
ijassa-754	41	4	data	datum	NOUN
ijassa-754	41	5	gathering	gathering	NOUN
ijassa-754	41	6	system	system	NOUN
ijassa-754	41	7	the	the	DET
ijassa-754	41	8	process	process	NOUN
ijassa-754	41	9	is	be	AUX
ijassa-754	41	10	considered	consider	VERB
ijassa-754	41	11	to	to	PART
ijassa-754	41	12	be	be	AUX
ijassa-754	41	13	carried	carry	VERB
ijassa-754	41	14	out	out	ADP
ijassa-754	41	15	in	in	ADP
ijassa-754	41	16	several	several	ADJ
ijassa-754	41	17	stages	stage	NOUN
ijassa-754	41	18	.	.	PUNCT
ijassa-754	42	1	the	the	DET
ijassa-754	42	2	main	main	ADJ
ijassa-754	42	3	stage	stage	NOUN
ijassa-754	42	4	is	be	AUX
ijassa-754	42	5	dedicated	dedicate	VERB
ijassa-754	42	6	to	to	ADP
ijassa-754	42	7	independent	independent	ADJ
ijassa-754	42	8	development	development	NOUN
ijassa-754	42	9	and	and	CCONJ
ijassa-754	42	10	debugging	debugging	NOUN
ijassa-754	42	11	of	of	ADP
ijassa-754	42	12	interconnected	interconnected	ADJ
ijassa-754	42	13	components	component	NOUN
ijassa-754	42	14	of	of	ADP
ijassa-754	42	15	applied	apply	VERB
ijassa-754	42	16	software	software	NOUN
ijassa-754	42	17	and	and	CCONJ
ijassa-754	42	18	hardware	hardware	NOUN
ijassa-754	42	19	.	.	PUNCT
ijassa-754	43	1	the	the	DET
ijassa-754	43	2	software	software	NOUN
ijassa-754	43	3	of	of	ADP
ijassa-754	43	4	the	the	DET
ijassa-754	43	5	designed	design	VERB
ijassa-754	43	6	data	data	NOUN
ijassa-754	43	7	gathering	gathering	NOUN
ijassa-754	43	8	system	system	NOUN
ijassa-754	43	9	consists	consist	VERB
ijassa-754	43	10	of	of	ADP
ijassa-754	43	11	the	the	DET
ijassa-754	43	12	following	follow	VERB
ijassa-754	43	13	main	main	ADJ
ijassa-754	43	14	components	component	NOUN
ijassa-754	43	15	:	:	PUNCT
ijassa-754	43	16	•	•	NUM
ijassa-754	43	17	programming	programming	NOUN
ijassa-754	43	18	of	of	ADP
ijassa-754	43	19	the	the	DET
ijassa-754	43	20	low	low	ADJ
ijassa-754	43	21	level	level	NOUN
ijassa-754	43	22	of	of	ADP
ijassa-754	43	23	data	datum	NOUN
ijassa-754	43	24	gathering	gathering	NOUN
ijassa-754	43	25	(	(	PUNCT
ijassa-754	43	26	sensor	sensor	NOUN
ijassa-754	43	27	level	level	NOUN
ijassa-754	43	28	)	)	PUNCT
ijassa-754	43	29	;	;	PUNCT
ijassa-754	44	1	•	•	X
ijassa-754	44	2	interaction	interaction	NOUN
ijassa-754	44	3	of	of	ADP
ijassa-754	44	4	the	the	DET
ijassa-754	44	5	low	low	ADJ
ijassa-754	44	6	and	and	CCONJ
ijassa-754	44	7	high	high	ADJ
ijassa-754	44	8	levels	level	NOUN
ijassa-754	44	9	(	(	PUNCT
ijassa-754	44	10	sensor	sensor	NOUN
ijassa-754	44	11	level	level	NOUN
ijassa-754	44	12	and	and	CCONJ
ijassa-754	44	13	data	datum	NOUN
ijassa-754	44	14	analysis	analysis	NOUN
ijassa-754	44	15	level	level	NOUN
ijassa-754	44	16	)	)	PUNCT
ijassa-754	44	17	;	;	PUNCT
ijassa-754	44	18	•	•	NUM
ijassa-754	44	19	data	datum	NOUN
ijassa-754	44	20	analysis	analysis	NOUN
ijassa-754	44	21	after	after	ADP
ijassa-754	44	22	monitoring	monitoring	NOUN
ijassa-754	44	23	,	,	PUNCT
ijassa-754	44	24	data	datum	NOUN
ijassa-754	44	25	documenting	documenting	NOUN
ijassa-754	44	26	and	and	CCONJ
ijassa-754	44	27	data	datum	NOUN
ijassa-754	44	28	archiving	archiving	NOUN
ijassa-754	44	29	.	.	PUNCT
ijassa-754	45	1	the	the	DET
ijassa-754	45	2	structure	structure	NOUN
ijassa-754	45	3	of	of	ADP
ijassa-754	45	4	the	the	DET
ijassa-754	45	5	proposed	propose	VERB
ijassa-754	45	6	distributed	distribute	VERB
ijassa-754	45	7	system	system	NOUN
ijassa-754	45	8	is	be	AUX
ijassa-754	45	9	shown	show	VERB
ijassa-754	45	10	in	in	ADP
ijassa-754	45	11	fig	fig	NOUN
ijassa-754	45	12	.	.	PUNCT
ijassa-754	46	1	2.1	2.1	NUM
ijassa-754	46	2	.	.	PUNCT
ijassa-754	47	1	two	two	NUM
ijassa-754	47	2	measurement	measurement	NOUN
ijassa-754	47	3	chambers	chamber	NOUN
ijassa-754	47	4	with	with	ADP
ijassa-754	47	5	connected	connected	ADJ
ijassa-754	47	6	sensors	sensor	NOUN
ijassa-754	47	7	are	be	AUX
ijassa-754	47	8	located	locate	VERB
ijassa-754	47	9	at	at	ADP
ijassa-754	47	10	the	the	DET
ijassa-754	47	11	first	first	ADJ
ijassa-754	47	12	level	level	NOUN
ijassa-754	47	13	of	of	ADP
ijassa-754	47	14	our	our	PRON
ijassa-754	47	15	system	system	NOUN
ijassa-754	47	16	.	.	PUNCT
ijassa-754	48	1	two	two	NUM
ijassa-754	48	2	chambers	chamber	NOUN
ijassa-754	48	3	are	be	AUX
ijassa-754	48	4	necessary	necessary	ADJ
ijassa-754	48	5	to	to	PART
ijassa-754	48	6	verify	verify	VERB
ijassa-754	48	7	the	the	DET
ijassa-754	48	8	collected	collect	VERB
ijassa-754	48	9	measurement	measurement	NOUN
ijassa-754	48	10	data	datum	NOUN
ijassa-754	48	11	.	.	PUNCT
ijassa-754	49	1	an	an	DET
ijassa-754	49	2	important	important	ADJ
ijassa-754	49	3	subsystem	subsystem	NOUN
ijassa-754	49	4	of	of	ADP
ijassa-754	49	5	our	our	PRON
ijassa-754	49	6	data	data	NOUN
ijassa-754	49	7	gathering	gathering	NOUN
ijassa-754	49	8	system	system	NOUN
ijassa-754	49	9	is	be	AUX
ijassa-754	49	10	the	the	DET
ijassa-754	49	11	sensor	sensor	NOUN
ijassa-754	49	12	system	system	NOUN
ijassa-754	49	13	.	.	PUNCT
ijassa-754	50	1	we	we	PRON
ijassa-754	50	2	suggest	suggest	VERB
ijassa-754	50	3	to	to	PART
ijassa-754	50	4	use	use	VERB
ijassa-754	50	5	commercially	commercially	ADV
ijassa-754	50	6	available	available	ADJ
ijassa-754	50	7	and	and	CCONJ
ijassa-754	50	8	relatively	relatively	ADV
ijassa-754	50	9	inexpensive	inexpensive	ADJ
ijassa-754	50	10	sensors	sensor	NOUN
ijassa-754	50	11	to	to	PART
ijassa-754	50	12	measure	measure	VERB
ijassa-754	50	13	physical	physical	ADJ
ijassa-754	50	14	parameters	parameter	NOUN
ijassa-754	50	15	of	of	ADP
ijassa-754	50	16	gas	gas	NOUN
ijassa-754	50	17	mixtures	mixture	NOUN
ijassa-754	50	18	–	–	PUNCT
ijassa-754	50	19	speed	speed	NOUN
ijassa-754	50	20	of	of	ADP
ijassa-754	50	21	sound	sound	NOUN
ijassa-754	50	22	[	[	X
ijassa-754	50	23	4	4	NUM
ijassa-754	50	24	]	]	PUNCT
ijassa-754	50	25	,	,	PUNCT
ijassa-754	50	26	thermal	thermal	ADJ
ijassa-754	50	27	conductivity	conductivity	NOUN
ijassa-754	50	28	[	[	X
ijassa-754	50	29	11	11	NUM
ijassa-754	50	30	]	]	PUNCT
ijassa-754	50	31	,	,	PUNCT
ijassa-754	50	32	and	and	CCONJ
ijassa-754	50	33	molar	molar	ADJ
ijassa-754	50	34	fraction	fraction	NOUN
ijassa-754	50	35	of	of	ADP
ijassa-754	50	36	carbon	carbon	NOUN
ijassa-754	50	37	dioxide	dioxide	NOUN
ijassa-754	51	1	[	[	X
ijassa-754	51	2	3	3	NUM
ijassa-754	51	3	]	]	PUNCT
ijassa-754	51	4	.	.	PUNCT
ijassa-754	52	1	our	our	PRON
ijassa-754	52	2	data	datum	NOUN
ijassa-754	52	3	collecting	collect	VERB
ijassa-754	52	4	system	system	NOUN
ijassa-754	52	5	is	be	AUX
ijassa-754	52	6	located	locate	VERB
ijassa-754	52	7	at	at	ADP
ijassa-754	52	8	the	the	DET
ijassa-754	52	9	second	second	ADJ
ijassa-754	52	10	level	level	NOUN
ijassa-754	52	11	of	of	ADP
ijassa-754	52	12	the	the	DET
ijassa-754	52	13	proposed	propose	VERB
ijassa-754	52	14	system	system	NOUN
ijassa-754	52	15	.	.	PUNCT
ijassa-754	53	1	the	the	DET
ijassa-754	53	2	main	main	ADJ
ijassa-754	53	3	functions	function	NOUN
ijassa-754	53	4	of	of	ADP
ijassa-754	53	5	that	that	DET
ijassa-754	53	6	subsystem	subsystem	NOUN
ijassa-754	53	7	are	be	AUX
ijassa-754	53	8	to	to	PART
ijassa-754	53	9	scan	scan	VERB
ijassa-754	53	10	for	for	ADP
ijassa-754	53	11	the	the	DET
ijassa-754	53	12	information	information	NOUN
ijassa-754	53	13	and	and	CCONJ
ijassa-754	53	14	transit	transit	VERB
ijassa-754	53	15	the	the	DET
ijassa-754	53	16	information	information	NOUN
ijassa-754	53	17	to	to	ADP
ijassa-754	53	18	the	the	DET
ijassa-754	53	19	higher	high	ADJ
ijassa-754	53	20	level	level	NOUN
ijassa-754	53	21	.	.	PUNCT
ijassa-754	54	1	the	the	DET
ijassa-754	54	2	system	system	NOUN
ijassa-754	54	3	processes	process	VERB
ijassa-754	54	4	the	the	DET
ijassa-754	54	5	gathered	gather	VERB
ijassa-754	54	6	data	datum	NOUN
ijassa-754	54	7	at	at	ADP
ijassa-754	54	8	the	the	DET
ijassa-754	54	9	third	third	ADJ
ijassa-754	54	10	level	level	NOUN
ijassa-754	54	11	.	.	PUNCT
ijassa-754	55	1	to	to	PART
ijassa-754	55	2	process	process	VERB
ijassa-754	55	3	the	the	DET
ijassa-754	55	4	data	data	NOUN
ijassa-754	55	5	is	be	AUX
ijassa-754	55	6	to	to	PART
ijassa-754	55	7	eliminate	eliminate	VERB
ijassa-754	55	8	errors	error	NOUN
ijassa-754	55	9	from	from	ADP
ijassa-754	55	10	the	the	DET
ijassa-754	55	11	measuring	measure	VERB
ijassa-754	55	12	results	result	NOUN
ijassa-754	55	13	,	,	PUNCT
ijassa-754	55	14	to	to	PART
ijassa-754	55	15	average	average	VERB
ijassa-754	55	16	the	the	DET
ijassa-754	55	17	collected	collect	VERB
ijassa-754	55	18	measurement	measurement	NOUN
ijassa-754	55	19	data	datum	NOUN
ijassa-754	55	20	,	,	PUNCT
ijassa-754	55	21	to	to	PART
ijassa-754	55	22	compute	compute	VERB
ijassa-754	55	23	the	the	DET
ijassa-754	55	24	accessory	accessory	NOUN
ijassa-754	55	25	parameters	parameter	NOUN
ijassa-754	55	26	and	and	CCONJ
ijassa-754	55	27	visualize	visualize	VERB
ijassa-754	55	28	the	the	DET
ijassa-754	55	29	collected	collect	VERB
ijassa-754	55	30	data	datum	NOUN
ijassa-754	55	31	.	.	PUNCT
ijassa-754	56	1	the	the	DET
ijassa-754	56	2	algorithms	algorithm	NOUN
ijassa-754	56	3	to	to	PART
ijassa-754	56	4	analyze	analyze	VERB
ijassa-754	56	5	and	and	CCONJ
ijassa-754	56	6	evaluate	evaluate	VERB
ijassa-754	56	7	the	the	DET
ijassa-754	56	8	collected	collect	VERB
ijassa-754	56	9	data	datum	NOUN
ijassa-754	56	10	are	be	AUX
ijassa-754	56	11	implemented	implement	VERB
ijassa-754	56	12	at	at	ADP
ijassa-754	56	13	the	the	DET
ijassa-754	56	14	fourth	fourth	ADJ
ijassa-754	56	15	level	level	NOUN
ijassa-754	56	16	of	of	ADP
ijassa-754	56	17	the	the	DET
ijassa-754	56	18	system	system	NOUN
ijassa-754	56	19	.	.	PUNCT
ijassa-754	57	1	these	these	DET
ijassa-754	57	2	algorithms	algorithm	NOUN
ijassa-754	57	3	will	will	AUX
ijassa-754	57	4	be	be	AUX
ijassa-754	57	5	described	describe	VERB
ijassa-754	57	6	later	later	ADV
ijassa-754	57	7	.	.	PUNCT
ijassa-754	58	1	at	at	ADP
ijassa-754	58	2	that	that	DET
ijassa-754	58	3	level	level	NOUN
ijassa-754	58	4	we	we	PRON
ijassa-754	58	5	compute	compute	VERB
ijassa-754	58	6	how	how	SCONJ
ijassa-754	58	7	accurate	accurate	ADJ
ijassa-754	58	8	the	the	DET
ijassa-754	58	9	designed	design	VERB
ijassa-754	58	10	neural	neural	ADJ
ijassa-754	58	11	network	network	NOUN
ijassa-754	58	12	is	be	AUX
ijassa-754	58	13	.	.	PUNCT
ijassa-754	59	1	this	this	DET
ijassa-754	59	2	accuracy	accuracy	NOUN
ijassa-754	59	3	output	output	NOUN
ijassa-754	59	4	shows	show	VERB
ijassa-754	59	5	if	if	SCONJ
ijassa-754	59	6	our	our	PRON
ijassa-754	59	7	model	model	NOUN
ijassa-754	59	8	is	be	AUX
ijassa-754	59	9	adequate	adequate	ADJ
ijassa-754	59	10	.	.	PUNCT
ijassa-754	60	1	16	16	NUM
ijassa-754	60	2	i.	i.	PROPN
ijassa-754	60	3	brokarev	brokarev	PROPN
ijassa-754	60	4	,	,	PUNCT
ijassa-754	60	5	s.	s.	PROPN
ijassa-754	60	6	vaskovskii	vaskovskii	PROPN
ijassa-754	60	7	copyright	copyright	NOUN
ijassa-754	60	8	©	©	PROPN
ijassa-754	60	9	2019	2019	NUM
ijassa-754	60	10	assa	assa	PROPN
ijassa-754	60	11	adv	adv	PROPN
ijassa-754	60	12	.	.	PUNCT
ijassa-754	61	1	in	in	ADP
ijassa-754	61	2	systems	system	NOUN
ijassa-754	61	3	science	science	NOUN
ijassa-754	61	4	and	and	CCONJ
ijassa-754	61	5	appl	appl	NOUN
ijassa-754	61	6	.	.	PUNCT
ijassa-754	62	1	(	(	PUNCT
ijassa-754	62	2	2019	2019	NUM
ijassa-754	62	3	)	)	PUNCT
ijassa-754	62	4	fig	fig	NOUN
ijassa-754	62	5	.	.	PUNCT
ijassa-754	63	1	2.1	2.1	NUM
ijassa-754	63	2	.	.	PUNCT
ijassa-754	63	3	structure	structure	NOUN
ijassa-754	63	4	of	of	ADP
ijassa-754	63	5	the	the	DET
ijassa-754	63	6	proposed	propose	VERB
ijassa-754	63	7	distributed	distribute	VERB
ijassa-754	63	8	system	system	NOUN
ijassa-754	63	9	3	3	NUM
ijassa-754	63	10	.	.	NOUN
ijassa-754	63	11	neural	neural	ADJ
ijassa-754	63	12	network	network	NOUN
ijassa-754	63	13	tools	tool	NOUN
ijassa-754	63	14	for	for	ADP
ijassa-754	63	15	natural	natural	ADJ
ijassa-754	63	16	gas	gas	NOUN
ijassa-754	63	17	composition	composition	NOUN
ijassa-754	63	18	analysis	analysis	NOUN
ijassa-754	63	19	currently	currently	ADV
ijassa-754	63	20	,	,	PUNCT
ijassa-754	63	21	artificial	artificial	ADJ
ijassa-754	63	22	intelligence	intelligence	NOUN
ijassa-754	63	23	solves	solve	VERB
ijassa-754	63	24	a	a	DET
ijassa-754	63	25	variety	variety	NOUN
ijassa-754	63	26	of	of	ADP
ijassa-754	63	27	applied	apply	VERB
ijassa-754	63	28	problems	problem	NOUN
ijassa-754	63	29	.	.	PUNCT
ijassa-754	64	1	one	one	NUM
ijassa-754	64	2	of	of	ADP
ijassa-754	64	3	the	the	DET
ijassa-754	64	4	important	important	ADJ
ijassa-754	64	5	areas	area	NOUN
ijassa-754	64	6	of	of	ADP
ijassa-754	64	7	artificial	artificial	ADJ
ijassa-754	64	8	intelligence	intelligence	NOUN
ijassa-754	64	9	are	be	AUX
ijassa-754	64	10	statistical	statistical	ADJ
ijassa-754	64	11	models	model	NOUN
ijassa-754	64	12	.	.	PUNCT
ijassa-754	65	1	among	among	ADP
ijassa-754	65	2	a	a	DET
ijassa-754	65	3	large	large	ADJ
ijassa-754	65	4	variety	variety	NOUN
ijassa-754	65	5	of	of	ADP
ijassa-754	65	6	these	these	DET
ijassa-754	65	7	models	model	NOUN
ijassa-754	65	8	,	,	PUNCT
ijassa-754	65	9	we	we	PRON
ijassa-754	65	10	distinguish	distinguish	VERB
ijassa-754	65	11	artificial	artificial	ADJ
ijassa-754	65	12	neural	neural	ADJ
ijassa-754	65	13	networks	network	NOUN
ijassa-754	65	14	(	(	PUNCT
ijassa-754	65	15	ann	ann	PROPN
ijassa-754	65	16	)	)	PUNCT
ijassa-754	65	17	mathematical	mathematical	ADJ
ijassa-754	65	18	models	model	NOUN
ijassa-754	65	19	built	build	VERB
ijassa-754	65	20	on	on	ADP
ijassa-754	65	21	the	the	DET
ijassa-754	65	22	principles	principle	NOUN
ijassa-754	65	23	of	of	ADP
ijassa-754	65	24	how	how	SCONJ
ijassa-754	65	25	biological	biological	ADJ
ijassa-754	65	26	neural	neural	ADJ
ijassa-754	65	27	networks	network	NOUN
ijassa-754	65	28	are	be	AUX
ijassa-754	65	29	organized	organize	VERB
ijassa-754	65	30	and	and	CCONJ
ijassa-754	65	31	function	function	NOUN
ijassa-754	65	32	.	.	PUNCT
ijassa-754	66	1	ann	ann	PROPN
ijassa-754	66	2	are	be	AUX
ijassa-754	66	3	trained	train	VERB
ijassa-754	66	4	to	to	PART
ijassa-754	66	5	detect	detect	VERB
ijassa-754	66	6	complex	complex	ADJ
ijassa-754	66	7	dependencies	dependency	NOUN
ijassa-754	66	8	between	between	ADP
ijassa-754	66	9	input	input	NOUN
ijassa-754	66	10	and	and	CCONJ
ijassa-754	66	11	output	output	NOUN
ijassa-754	66	12	.	.	PUNCT
ijassa-754	67	1	this	this	DET
ijassa-754	67	2	ability	ability	NOUN
ijassa-754	67	3	is	be	AUX
ijassa-754	67	4	one	one	NUM
ijassa-754	67	5	of	of	ADP
ijassa-754	67	6	the	the	DET
ijassa-754	67	7	main	main	ADJ
ijassa-754	67	8	advantages	advantage	NOUN
ijassa-754	67	9	of	of	ADP
ijassa-754	67	10	neural	neural	ADJ
ijassa-754	67	11	networks	network	NOUN
ijassa-754	67	12	over	over	ADP
ijassa-754	67	13	traditional	traditional	ADJ
ijassa-754	67	14	algorithms	algorithm	NOUN
ijassa-754	67	15	.	.	PUNCT
ijassa-754	68	1	one	one	NUM
ijassa-754	68	2	of	of	ADP
ijassa-754	68	3	the	the	DET
ijassa-754	68	4	promising	promising	ADJ
ijassa-754	68	5	tasks	task	NOUN
ijassa-754	68	6	,	,	PUNCT
ijassa-754	68	7	where	where	SCONJ
ijassa-754	68	8	anns	ann	NOUN
ijassa-754	68	9	are	be	AUX
ijassa-754	68	10	applied	apply	VERB
ijassa-754	68	11	,	,	PUNCT
ijassa-754	68	12	is	be	AUX
ijassa-754	68	13	to	to	PART
ijassa-754	68	14	analyze	analyze	VERB
ijassa-754	68	15	component	component	NOUN
ijassa-754	68	16	composition	composition	NOUN
ijassa-754	68	17	of	of	ADP
ijassa-754	68	18	natural	natural	ADJ
ijassa-754	68	19	gas	gas	NOUN
ijassa-754	68	20	.	.	PUNCT
ijassa-754	69	1	if	if	SCONJ
ijassa-754	69	2	gases	gas	NOUN
ijassa-754	69	3	from	from	ADP
ijassa-754	69	4	different	different	ADJ
ijassa-754	69	5	fields	field	NOUN
ijassa-754	69	6	and	and	CCONJ
ijassa-754	69	7	sources	source	NOUN
ijassa-754	69	8	are	be	AUX
ijassa-754	69	9	mixed	mix	VERB
ijassa-754	69	10	during	during	ADP
ijassa-754	69	11	transportation	transportation	NOUN
ijassa-754	69	12	and	and	CCONJ
ijassa-754	69	13	storage	storage	NOUN
ijassa-754	69	14	,	,	PUNCT
ijassa-754	69	15	the	the	DET
ijassa-754	69	16	natural	natural	ADJ
ijassa-754	69	17	gas	gas	NOUN
ijassa-754	69	18	composition	composition	NOUN
ijassa-754	69	19	changes	change	NOUN
ijassa-754	69	20	from	from	ADP
ijassa-754	69	21	that	that	PRON
ijassa-754	69	22	on	on	ADP
ijassa-754	69	23	the	the	DET
ijassa-754	69	24	operation	operation	NOUN
ijassa-754	69	25	sites	site	NOUN
ijassa-754	69	26	.	.	PUNCT
ijassa-754	70	1	this	this	PRON
ijassa-754	70	2	makes	make	VERB
ijassa-754	70	3	it	it	PRON
ijassa-754	70	4	harder	hard	ADJ
ijassa-754	70	5	to	to	PART
ijassa-754	70	6	account	account	VERB
ijassa-754	70	7	the	the	DET
ijassa-754	70	8	natural	natural	ADJ
ijassa-754	70	9	gas	gas	NOUN
ijassa-754	70	10	.	.	PUNCT
ijassa-754	71	1	since	since	SCONJ
ijassa-754	71	2	gas	gas	NOUN
ijassa-754	71	3	composition	composition	NOUN
ijassa-754	71	4	determines	determine	VERB
ijassa-754	71	5	gas	gas	NOUN
ijassa-754	71	6	quality	quality	NOUN
ijassa-754	71	7	indicators	indicator	NOUN
ijassa-754	71	8	for	for	ADP
ijassa-754	71	9	the	the	DET
ijassa-754	71	10	equipment	equipment	NOUN
ijassa-754	71	11	to	to	PART
ijassa-754	71	12	operate	operate	VERB
ijassa-754	71	13	properly	properly	ADV
ijassa-754	71	14	and	and	CCONJ
ijassa-754	71	15	optimally	optimally	ADV
ijassa-754	71	16	,	,	PUNCT
ijassa-754	71	17	we	we	PRON
ijassa-754	71	18	need	need	VERB
ijassa-754	71	19	to	to	PART
ijassa-754	71	20	measure	measure	VERB
ijassa-754	71	21	or	or	CCONJ
ijassa-754	71	22	calculate	calculate	VERB
ijassa-754	71	23	certain	certain	ADJ
ijassa-754	71	24	properties	property	NOUN
ijassa-754	71	25	of	of	ADP
ijassa-754	71	26	natural	natural	ADJ
ijassa-754	71	27	gas	gas	NOUN
ijassa-754	71	28	to	to	PART
ijassa-754	71	29	transport	transport	VERB
ijassa-754	71	30	the	the	DET
ijassa-754	71	31	natural	natural	ADJ
ijassa-754	71	32	gas	gas	NOUN
ijassa-754	71	33	via	via	ADP
ijassa-754	71	34	a	a	DET
ijassa-754	71	35	pipeline	pipeline	NOUN
ijassa-754	71	36	.	.	PUNCT
ijassa-754	72	1	this	this	PRON
ijassa-754	72	2	makes	make	VERB
ijassa-754	72	3	it	it	PRON
ijassa-754	72	4	very	very	ADV
ijassa-754	72	5	important	important	ADJ
ijassa-754	72	6	to	to	PART
ijassa-754	72	7	determine	determine	VERB
ijassa-754	72	8	component	component	NOUN
ijassa-754	72	9	composition	composition	NOUN
ijassa-754	72	10	of	of	ADP
ijassa-754	72	11	gas	gas	NOUN
ijassa-754	72	12	in	in	ADP
ijassa-754	72	13	real	real	ADJ
ijassa-754	72	14	time	time	NOUN
ijassa-754	72	15	;	;	PUNCT
ijassa-754	72	16	to	to	PART
ijassa-754	72	17	solve	solve	VERB
ijassa-754	72	18	this	this	DET
ijassa-754	72	19	problem	problem	NOUN
ijassa-754	72	20	,	,	PUNCT
ijassa-754	72	21	correlation	correlation	NOUN
ijassa-754	72	22	methods	method	NOUN
ijassa-754	72	23	are	be	AUX
ijassa-754	72	24	currently	currently	ADV
ijassa-754	72	25	being	be	AUX
ijassa-754	72	26	developed	develop	VERB
ijassa-754	72	27	to	to	PART
ijassa-754	72	28	analyze	analyze	VERB
ijassa-754	72	29	gas	gas	NOUN
ijassa-754	72	30	quality	quality	NOUN
ijassa-754	73	1	[	[	X
ijassa-754	73	2	2	2	NUM
ijassa-754	73	3	,	,	PUNCT
ijassa-754	73	4	5	5	NUM
ijassa-754	73	5	]	]	PUNCT
ijassa-754	73	6	.	.	PUNCT
ijassa-754	74	1	statistical	statistical	ADJ
ijassa-754	74	2	models	model	NOUN
ijassa-754	74	3	,	,	PUNCT
ijassa-754	74	4	in	in	ADP
ijassa-754	74	5	particular	particular	ADJ
ijassa-754	74	6	ann	ann	PROPN
ijassa-754	74	7	,	,	PUNCT
ijassa-754	74	8	are	be	AUX
ijassa-754	74	9	often	often	ADV
ijassa-754	74	10	used	use	VERB
ijassa-754	74	11	to	to	PART
ijassa-754	74	12	determine	determine	VERB
ijassa-754	74	13	the	the	DET
ijassa-754	74	14	desired	desire	VERB
ijassa-754	74	15	properties	property	NOUN
ijassa-754	74	16	and	and	CCONJ
ijassa-754	74	17	composition	composition	NOUN
ijassa-754	74	18	of	of	ADP
ijassa-754	74	19	natural	natural	ADJ
ijassa-754	74	20	gas	gas	NOUN
ijassa-754	74	21	by	by	ADP
ijassa-754	74	22	measuring	measure	VERB
ijassa-754	74	23	the	the	DET
ijassa-754	74	24	physical	physical	ADJ
ijassa-754	74	25	parameters	parameter	NOUN
ijassa-754	74	26	of	of	ADP
ijassa-754	74	27	the	the	DET
ijassa-754	74	28	gas	gas	NOUN
ijassa-754	74	29	.	.	PUNCT
ijassa-754	75	1	the	the	DET
ijassa-754	75	2	fourth	fourth	ADJ
ijassa-754	75	3	level	level	NOUN
ijassa-754	75	4	of	of	ADP
ijassa-754	75	5	the	the	DET
ijassa-754	75	6	shown	show	VERB
ijassa-754	75	7	distributed	distribute	VERB
ijassa-754	75	8	system	system	NOUN
ijassa-754	75	9	carries	carry	VERB
ijassa-754	75	10	out	out	ADP
ijassa-754	75	11	algorithms	algorithm	NOUN
ijassa-754	75	12	for	for	ADP
ijassa-754	75	13	determination	determination	NOUN
ijassa-754	75	14	of	of	ADP
ijassa-754	75	15	the	the	DET
ijassa-754	75	16	target	target	NOUN
ijassa-754	75	17	composition	composition	NOUN
ijassa-754	75	18	by	by	ADP
ijassa-754	75	19	measuring	measure	VERB
ijassa-754	75	20	input	input	NOUN
ijassa-754	75	21	physical	physical	ADJ
ijassa-754	75	22	parameters	parameter	NOUN
ijassa-754	75	23	of	of	ADP
ijassa-754	75	24	natural	natural	ADJ
ijassa-754	75	25	gas	gas	NOUN
ijassa-754	75	26	.	.	PUNCT
ijassa-754	76	1	a	a	DET
ijassa-754	76	2	statistical	statistical	ADJ
ijassa-754	76	3	method	method	NOUN
ijassa-754	76	4	is	be	AUX
ijassa-754	76	5	proposed	propose	VERB
ijassa-754	76	6	as	as	ADP
ijassa-754	76	7	the	the	DET
ijassa-754	76	8	main	main	ADJ
ijassa-754	76	9	method	method	NOUN
ijassa-754	76	10	for	for	ADP
ijassa-754	76	11	determination	determination	NOUN
ijassa-754	76	12	of	of	ADP
ijassa-754	76	13	the	the	DET
ijassa-754	76	14	target	target	NOUN
ijassa-754	76	15	composition	composition	NOUN
ijassa-754	76	16	.	.	PUNCT
ijassa-754	77	1	simplicity	simplicity	NOUN
ijassa-754	77	2	of	of	ADP
ijassa-754	77	3	mathematical	mathematical	ADJ
ijassa-754	77	4	calculations	calculation	NOUN
ijassa-754	77	5	is	be	AUX
ijassa-754	77	6	the	the	DET
ijassa-754	77	7	main	main	ADJ
ijassa-754	77	8	advantage	advantage	NOUN
ijassa-754	77	9	of	of	ADP
ijassa-754	77	10	the	the	DET
ijassa-754	77	11	statistical	statistical	ADJ
ijassa-754	77	12	method	method	NOUN
ijassa-754	77	13	over	over	ADP
ijassa-754	77	14	distributed	distribute	VERB
ijassa-754	77	15	data	datum	NOUN
ijassa-754	77	16	gathering	gathering	NOUN
ijassa-754	77	17	system	system	NOUN
ijassa-754	77	18	to	to	PART
ijassa-754	77	19	analyze	analyze	VERB
ijassa-754	77	20	natural	natural	ADJ
ijassa-754	77	21	gas	gas	NOUN
ijassa-754	77	22	composition	composition	NOUN
ijassa-754	77	23	17	17	NUM
ijassa-754	77	24	copyright	copyright	NOUN
ijassa-754	77	25	©	©	PROPN
ijassa-754	77	26	2019	2019	NUM
ijassa-754	77	27	assa	assa	NOUN
ijassa-754	77	28	.	.	PUNCT
ijassa-754	78	1	adv	adv	PROPN
ijassa-754	78	2	.	.	PUNCT
ijassa-754	79	1	in	in	ADP
ijassa-754	79	2	systems	system	NOUN
ijassa-754	79	3	science	science	NOUN
ijassa-754	79	4	and	and	CCONJ
ijassa-754	79	5	appl	appl	NOUN
ijassa-754	79	6	.	.	PUNCT
ijassa-754	80	1	(	(	PUNCT
ijassa-754	80	2	2019	2019	NUM
ijassa-754	80	3	)	)	PUNCT
ijassa-754	80	4	traditional	traditional	ADJ
ijassa-754	80	5	algorithms	algorithm	NOUN
ijassa-754	80	6	.	.	PUNCT
ijassa-754	81	1	the	the	DET
ijassa-754	81	2	main	main	ADJ
ijassa-754	81	3	disadvantage	disadvantage	NOUN
ijassa-754	81	4	the	the	DET
ijassa-754	81	5	need	need	NOUN
ijassa-754	81	6	for	for	ADP
ijassa-754	81	7	a	a	DET
ijassa-754	81	8	large	large	ADJ
ijassa-754	81	9	amount	amount	NOUN
ijassa-754	81	10	of	of	ADP
ijassa-754	81	11	initial	initial	ADJ
ijassa-754	81	12	data	datum	NOUN
ijassa-754	81	13	is	be	AUX
ijassa-754	81	14	eliminated	eliminate	VERB
ijassa-754	81	15	by	by	ADP
ijassa-754	81	16	conducting	conduct	VERB
ijassa-754	81	17	the	the	DET
ijassa-754	81	18	measurements	measurement	NOUN
ijassa-754	81	19	via	via	ADP
ijassa-754	81	20	two	two	NUM
ijassa-754	81	21	channels	channel	NOUN
ijassa-754	81	22	.	.	PUNCT
ijassa-754	82	1	the	the	DET
ijassa-754	82	2	following	follow	VERB
ijassa-754	82	3	models	model	NOUN
ijassa-754	82	4	can	can	AUX
ijassa-754	82	5	be	be	AUX
ijassa-754	82	6	used	use	VERB
ijassa-754	82	7	as	as	ADP
ijassa-754	82	8	statistical	statistical	ADJ
ijassa-754	82	9	models	model	NOUN
ijassa-754	82	10	for	for	ADP
ijassa-754	82	11	solving	solve	VERB
ijassa-754	82	12	the	the	DET
ijassa-754	82	13	task	task	NOUN
ijassa-754	82	14	under	under	ADP
ijassa-754	82	15	discussion	discussion	NOUN
ijassa-754	82	16	:	:	PUNCT
ijassa-754	82	17	•	•	NUM
ijassa-754	82	18	multi	multi	ADJ
ijassa-754	82	19	-	-	ADJ
ijassa-754	82	20	parameter	parameter	ADJ
ijassa-754	82	21	linear	linear	PROPN
ijassa-754	82	22	regression	regression	NOUN
ijassa-754	82	23	can	can	AUX
ijassa-754	82	24	serve	serve	VERB
ijassa-754	82	25	as	as	ADP
ijassa-754	82	26	a	a	DET
ijassa-754	82	27	reference	reference	NOUN
ijassa-754	82	28	model	model	NOUN
ijassa-754	82	29	.	.	PUNCT
ijassa-754	83	1	its	its	PRON
ijassa-754	83	2	results	result	NOUN
ijassa-754	83	3	can	can	AUX
ijassa-754	83	4	be	be	AUX
ijassa-754	83	5	used	use	VERB
ijassa-754	83	6	to	to	PART
ijassa-754	83	7	compare	compare	VERB
ijassa-754	83	8	accuracy	accuracy	NOUN
ijassa-754	83	9	of	of	ADP
ijassa-754	83	10	other	other	ADJ
ijassa-754	83	11	regression	regression	NOUN
ijassa-754	83	12	models	model	NOUN
ijassa-754	83	13	.	.	PUNCT
ijassa-754	84	1	for	for	ADP
ijassa-754	84	2	this	this	DET
ijassa-754	84	3	model	model	NOUN
ijassa-754	84	4	,	,	PUNCT
ijassa-754	84	5	it	it	PRON
ijassa-754	84	6	is	be	AUX
ijassa-754	84	7	necessary	necessary	ADJ
ijassa-754	84	8	to	to	PART
ijassa-754	84	9	calculate	calculate	VERB
ijassa-754	84	10	each	each	DET
ijassa-754	84	11	component	component	NOUN
ijassa-754	84	12	of	of	ADP
ijassa-754	84	13	the	the	DET
ijassa-754	84	14	gas	gas	NOUN
ijassa-754	84	15	mixture	mixture	NOUN
ijassa-754	84	16	separately	separately	ADV
ijassa-754	84	17	.	.	PUNCT
ijassa-754	85	1	this	this	PRON
ijassa-754	85	2	is	be	AUX
ijassa-754	85	3	inefficient	inefficient	ADJ
ijassa-754	85	4	in	in	ADP
ijassa-754	85	5	comparison	comparison	NOUN
ijassa-754	85	6	to	to	ADP
ijassa-754	85	7	other	other	ADJ
ijassa-754	85	8	models	model	NOUN
ijassa-754	85	9	;	;	PUNCT
ijassa-754	85	10	•	•	NUM
ijassa-754	85	11	model	model	NOUN
ijassa-754	85	12	based	base	VERB
ijassa-754	85	13	on	on	ADP
ijassa-754	85	14	the	the	DET
ijassa-754	85	15	support	support	NOUN
ijassa-754	85	16	vector	vector	NOUN
ijassa-754	85	17	machine	machine	NOUN
ijassa-754	85	18	(	(	PUNCT
ijassa-754	85	19	svm	svm	PROPN
ijassa-754	85	20	)	)	PUNCT
ijassa-754	85	21	.	.	PUNCT
ijassa-754	86	1	this	this	PRON
ijassa-754	86	2	is	be	AUX
ijassa-754	86	3	a	a	DET
ijassa-754	86	4	set	set	NOUN
ijassa-754	86	5	of	of	ADP
ijassa-754	86	6	similar	similar	ADJ
ijassa-754	86	7	supervised	supervised	ADJ
ijassa-754	86	8	machine	machine	NOUN
ijassa-754	86	9	learning	learning	NOUN
ijassa-754	86	10	algorithms	algorithm	NOUN
ijassa-754	86	11	used	use	VERB
ijassa-754	86	12	to	to	PART
ijassa-754	86	13	classify	classify	VERB
ijassa-754	86	14	and	and	CCONJ
ijassa-754	86	15	regress	regress	ADJ
ijassa-754	86	16	analysis	analysis	NOUN
ijassa-754	86	17	tasks	task	NOUN
ijassa-754	86	18	.	.	PUNCT
ijassa-754	87	1	the	the	DET
ijassa-754	87	2	main	main	ADJ
ijassa-754	87	3	idea	idea	NOUN
ijassa-754	87	4	of	of	ADP
ijassa-754	87	5	the	the	DET
ijassa-754	87	6	method	method	NOUN
ijassa-754	87	7	is	be	AUX
ijassa-754	87	8	to	to	PART
ijassa-754	87	9	translate	translate	VERB
ijassa-754	87	10	source	source	NOUN
ijassa-754	87	11	vectors	vector	NOUN
ijassa-754	87	12	into	into	ADP
ijassa-754	87	13	a	a	DET
ijassa-754	87	14	higher	high	ADJ
ijassa-754	87	15	dimension	dimension	NOUN
ijassa-754	87	16	space	space	NOUN
ijassa-754	87	17	and	and	CCONJ
ijassa-754	87	18	to	to	PART
ijassa-754	87	19	search	search	VERB
ijassa-754	87	20	separating	separate	VERB
ijassa-754	87	21	hyperplanes	hyperplane	NOUN
ijassa-754	87	22	with	with	ADP
ijassa-754	87	23	a	a	DET
ijassa-754	87	24	maximum	maximum	ADJ
ijassa-754	87	25	gap	gap	NOUN
ijassa-754	87	26	in	in	ADP
ijassa-754	87	27	this	this	DET
ijassa-754	87	28	space	space	NOUN
ijassa-754	87	29	.	.	PUNCT
ijassa-754	88	1	we	we	PRON
ijassa-754	88	2	do	do	AUX
ijassa-754	88	3	n't	not	PART
ijassa-754	88	4	choose	choose	VERB
ijassa-754	88	5	this	this	DET
ijassa-754	88	6	model	model	NOUN
ijassa-754	88	7	because	because	SCONJ
ijassa-754	88	8	of	of	ADP
ijassa-754	88	9	its	its	PRON
ijassa-754	88	10	significant	significant	ADJ
ijassa-754	88	11	shortcomings	shortcoming	NOUN
ijassa-754	88	12	,	,	PUNCT
ijassa-754	88	13	in	in	ADP
ijassa-754	88	14	particular	particular	ADJ
ijassa-754	88	15	,	,	PUNCT
ijassa-754	88	16	complex	complex	ADJ
ijassa-754	88	17	interpretation	interpretation	NOUN
ijassa-754	88	18	of	of	ADP
ijassa-754	88	19	model	model	NOUN
ijassa-754	88	20	parameters	parameter	NOUN
ijassa-754	88	21	;	;	PUNCT
ijassa-754	88	22	also	also	ADV
ijassa-754	88	23	the	the	DET
ijassa-754	88	24	model	model	NOUN
ijassa-754	88	25	is	be	AUX
ijassa-754	88	26	applicable	applicable	ADJ
ijassa-754	88	27	only	only	ADV
ijassa-754	88	28	to	to	PART
ijassa-754	88	29	solve	solve	VERB
ijassa-754	88	30	problems	problem	NOUN
ijassa-754	88	31	with	with	ADP
ijassa-754	88	32	two	two	NUM
ijassa-754	88	33	classes	class	NOUN
ijassa-754	88	34	;	;	PUNCT
ijassa-754	88	35	•	•	NUM
ijassa-754	88	36	gaussian	gaussian	ADJ
ijassa-754	88	37	process	process	NOUN
ijassa-754	88	38	regression	regression	NOUN
ijassa-754	88	39	(	(	PUNCT
ijassa-754	88	40	gpr	gpr	PROPN
ijassa-754	88	41	)	)	PUNCT
ijassa-754	88	42	;	;	PUNCT
ijassa-754	88	43	•	•	NUM
ijassa-754	88	44	ridge	ridge	NOUN
ijassa-754	88	45	regression	regression	NOUN
ijassa-754	88	46	;	;	PUNCT
ijassa-754	88	47	•	•	NUM
ijassa-754	88	48	neural	neural	ADJ
ijassa-754	88	49	network	network	NOUN
ijassa-754	88	50	model	model	NOUN
ijassa-754	88	51	.	.	PUNCT
ijassa-754	89	1	on	on	ADP
ijassa-754	89	2	the	the	DET
ijassa-754	89	3	basis	basis	NOUN
ijassa-754	89	4	of	of	ADP
ijassa-754	89	5	the	the	DET
ijassa-754	89	6	previous	previous	ADJ
ijassa-754	89	7	research	research	NOUN
ijassa-754	89	8	[	[	X
ijassa-754	89	9	5	5	NUM
ijassa-754	89	10	]	]	PUNCT
ijassa-754	89	11	,	,	PUNCT
ijassa-754	89	12	it	it	PRON
ijassa-754	89	13	can	can	AUX
ijassa-754	89	14	be	be	AUX
ijassa-754	89	15	concluded	conclude	VERB
ijassa-754	89	16	that	that	SCONJ
ijassa-754	89	17	neural	neural	ADJ
ijassa-754	89	18	network	network	NOUN
ijassa-754	89	19	is	be	AUX
ijassa-754	89	20	most	most	ADV
ijassa-754	89	21	effective	effective	ADJ
ijassa-754	89	22	as	as	ADP
ijassa-754	89	23	the	the	DET
ijassa-754	89	24	main	main	ADJ
ijassa-754	89	25	statistical	statistical	ADJ
ijassa-754	89	26	model	model	NOUN
ijassa-754	89	27	in	in	ADP
ijassa-754	89	28	the	the	DET
ijassa-754	89	29	discussed	discuss	VERB
ijassa-754	89	30	task	task	NOUN
ijassa-754	89	31	because	because	SCONJ
ijassa-754	89	32	of	of	ADP
ijassa-754	89	33	its	its	PRON
ijassa-754	89	34	learning	learning	NOUN
ijassa-754	89	35	capability	capability	NOUN
ijassa-754	89	36	and	and	CCONJ
ijassa-754	89	37	scalability	scalability	NOUN
ijassa-754	89	38	in	in	ADP
ijassa-754	89	39	comparison	comparison	NOUN
ijassa-754	89	40	with	with	ADP
ijassa-754	89	41	other	other	ADJ
ijassa-754	89	42	models	model	NOUN
ijassa-754	89	43	.	.	PUNCT
ijassa-754	90	1	to	to	PART
ijassa-754	90	2	develop	develop	VERB
ijassa-754	90	3	a	a	DET
ijassa-754	90	4	model	model	NOUN
ijassa-754	90	5	to	to	PART
ijassa-754	90	6	analyze	analyze	VERB
ijassa-754	90	7	gas	gas	NOUN
ijassa-754	90	8	mixture	mixture	NOUN
ijassa-754	90	9	composition	composition	NOUN
ijassa-754	90	10	,	,	PUNCT
ijassa-754	90	11	we	we	PRON
ijassa-754	90	12	implement	implement	VERB
ijassa-754	90	13	these	these	DET
ijassa-754	90	14	consecutive	consecutive	ADJ
ijassa-754	90	15	stages	stage	NOUN
ijassa-754	90	16	:	:	PUNCT
ijassa-754	90	17	•	•	NUM
ijassa-754	90	18	select	select	ADJ
ijassa-754	90	19	data	datum	NOUN
ijassa-754	90	20	to	to	PART
ijassa-754	90	21	train	train	VERB
ijassa-754	90	22	the	the	DET
ijassa-754	90	23	model	model	NOUN
ijassa-754	90	24	;	;	PUNCT
ijassa-754	90	25	•	•	NUM
ijassa-754	90	26	choose	choose	VERB
ijassa-754	90	27	model	model	NOUN
ijassa-754	90	28	architecture	architecture	NOUN
ijassa-754	90	29	;	;	PUNCT
ijassa-754	90	30	•	•	NUM
ijassa-754	90	31	select	select	VERB
ijassa-754	90	32	a	a	DET
ijassa-754	90	33	model	model	NOUN
ijassa-754	90	34	training	training	NOUN
ijassa-754	90	35	method	method	NOUN
ijassa-754	90	36	;	;	PUNCT
ijassa-754	90	37	•	•	NUM
ijassa-754	90	38	assess	assess	NOUN
ijassa-754	90	39	accuracy	accuracy	NOUN
ijassa-754	90	40	of	of	ADP
ijassa-754	90	41	the	the	DET
ijassa-754	90	42	model	model	NOUN
ijassa-754	90	43	.	.	PUNCT
ijassa-754	91	1	the	the	DET
ijassa-754	91	2	first	first	ADJ
ijassa-754	91	3	stage	stage	NOUN
ijassa-754	91	4	consists	consist	VERB
ijassa-754	91	5	in	in	ADP
ijassa-754	91	6	selecting	select	VERB
ijassa-754	91	7	input	input	NOUN
ijassa-754	91	8	and	and	CCONJ
ijassa-754	91	9	output	output	NOUN
ijassa-754	91	10	data	datum	NOUN
ijassa-754	91	11	for	for	ADP
ijassa-754	91	12	the	the	DET
ijassa-754	91	13	model	model	NOUN
ijassa-754	91	14	.	.	PUNCT
ijassa-754	92	1	we	we	PRON
ijassa-754	92	2	select	select	VERB
ijassa-754	92	3	a	a	DET
ijassa-754	92	4	physical	physical	ADJ
ijassa-754	92	5	parameter	parameter	NOUN
ijassa-754	92	6	as	as	ADP
ijassa-754	92	7	input	input	NOUN
ijassa-754	92	8	,	,	PUNCT
ijassa-754	92	9	if	if	SCONJ
ijassa-754	92	10	there	there	PRON
ijassa-754	92	11	is	be	VERB
ijassa-754	92	12	a	a	DET
ijassa-754	92	13	relationship	relationship	NOUN
ijassa-754	92	14	between	between	ADP
ijassa-754	92	15	this	this	DET
ijassa-754	92	16	gas	gas	NOUN
ijassa-754	92	17	parameter	parameter	NOUN
ijassa-754	92	18	and	and	CCONJ
ijassa-754	92	19	the	the	DET
ijassa-754	92	20	gas	gas	NOUN
ijassa-754	92	21	composition	composition	NOUN
ijassa-754	92	22	,	,	PUNCT
ijassa-754	92	23	as	as	ADV
ijassa-754	92	24	well	well	ADV
ijassa-754	92	25	as	as	ADP
ijassa-754	92	26	if	if	SCONJ
ijassa-754	92	27	the	the	DET
ijassa-754	92	28	parameter	parameter	NOUN
ijassa-754	92	29	can	can	AUX
ijassa-754	92	30	be	be	AUX
ijassa-754	92	31	measured	measure	VERB
ijassa-754	92	32	with	with	ADP
ijassa-754	92	33	commercially	commercially	ADV
ijassa-754	92	34	available	available	ADJ
ijassa-754	92	35	and	and	CCONJ
ijassa-754	92	36	relatively	relatively	ADV
ijassa-754	92	37	inexpensive	inexpensive	ADJ
ijassa-754	92	38	measurement	measurement	NOUN
ijassa-754	92	39	devices	device	NOUN
ijassa-754	93	1	[	[	X
ijassa-754	93	2	3,4,11	3,4,11	PROPN
ijassa-754	93	3	]	]	PUNCT
ijassa-754	93	4	.	.	PUNCT
ijassa-754	94	1	to	to	PART
ijassa-754	94	2	determine	determine	VERB
ijassa-754	94	3	if	if	SCONJ
ijassa-754	94	4	the	the	DET
ijassa-754	94	5	parameters	parameter	NOUN
ijassa-754	94	6	and	and	CCONJ
ijassa-754	94	7	the	the	DET
ijassa-754	94	8	composition	composition	NOUN
ijassa-754	94	9	of	of	ADP
ijassa-754	94	10	the	the	DET
ijassa-754	94	11	natural	natural	ADJ
ijassa-754	94	12	gas	gas	NOUN
ijassa-754	94	13	are	be	AUX
ijassa-754	94	14	related	relate	VERB
ijassa-754	94	15	,	,	PUNCT
ijassa-754	94	16	a	a	DET
ijassa-754	94	17	correlation	correlation	NOUN
ijassa-754	94	18	analysis	analysis	NOUN
ijassa-754	94	19	is	be	AUX
ijassa-754	94	20	carried	carry	VERB
ijassa-754	94	21	out	out	ADP
ijassa-754	94	22	to	to	PART
ijassa-754	94	23	verify	verify	VERB
ijassa-754	94	24	inter	inter	ADJ
ijassa-754	94	25	dependencies	dependency	NOUN
ijassa-754	94	26	within	within	ADP
ijassa-754	94	27	the	the	DET
ijassa-754	94	28	sets	set	NOUN
ijassa-754	94	29	of	of	ADP
ijassa-754	94	30	the	the	DET
ijassa-754	94	31	input	input	NOUN
ijassa-754	94	32	and	and	CCONJ
ijassa-754	94	33	output	output	NOUN
ijassa-754	94	34	parameters	parameter	NOUN
ijassa-754	94	35	and	and	CCONJ
ijassa-754	94	36	if	if	SCONJ
ijassa-754	94	37	the	the	DET
ijassa-754	94	38	parameters	parameter	NOUN
ijassa-754	94	39	are	be	AUX
ijassa-754	94	40	connected	connect	VERB
ijassa-754	94	41	with	with	ADP
ijassa-754	94	42	each	each	DET
ijassa-754	94	43	other	other	ADJ
ijassa-754	94	44	.	.	PUNCT
ijassa-754	95	1	all	all	DET
ijassa-754	95	2	data	datum	NOUN
ijassa-754	95	3	is	be	AUX
ijassa-754	95	4	cross	cross	ADJ
ijassa-754	95	5	-	-	ADJ
ijassa-754	95	6	validated	validated	ADJ
ijassa-754	95	7	before	before	SCONJ
ijassa-754	95	8	it	it	PRON
ijassa-754	95	9	is	be	AUX
ijassa-754	95	10	used	use	VERB
ijassa-754	95	11	to	to	PART
ijassa-754	95	12	train	train	VERB
ijassa-754	95	13	the	the	DET
ijassa-754	95	14	model	model	NOUN
ijassa-754	95	15	.	.	PUNCT
ijassa-754	96	1	cross	cross	ADJ
ijassa-754	96	2	-	-	NOUN
ijassa-754	96	3	validation	validation	NOUN
ijassa-754	96	4	is	be	AUX
ijassa-754	96	5	a	a	DET
ijassa-754	96	6	method	method	NOUN
ijassa-754	96	7	to	to	PART
ijassa-754	96	8	evaluate	evaluate	VERB
ijassa-754	96	9	an	an	DET
ijassa-754	96	10	analytical	analytical	ADJ
ijassa-754	96	11	model	model	NOUN
ijassa-754	96	12	and	and	CCONJ
ijassa-754	96	13	its	its	PRON
ijassa-754	96	14	behavior	behavior	NOUN
ijassa-754	96	15	on	on	ADP
ijassa-754	96	16	independent	independent	ADJ
ijassa-754	96	17	data	datum	NOUN
ijassa-754	96	18	.	.	PUNCT
ijassa-754	97	1	this	this	DET
ijassa-754	97	2	procedure	procedure	NOUN
ijassa-754	97	3	is	be	AUX
ijassa-754	97	4	as	as	SCONJ
ijassa-754	97	5	follows	follow	VERB
ijassa-754	97	6	:	:	PUNCT
ijassa-754	97	7	available	available	ADJ
ijassa-754	97	8	data	datum	NOUN
ijassa-754	97	9	is	be	AUX
ijassa-754	97	10	divided	divide	VERB
ijassa-754	97	11	into	into	ADP
ijassa-754	97	12	k	k	PROPN
ijassa-754	97	13	parts	part	NOUN
ijassa-754	97	14	,	,	PUNCT
ijassa-754	97	15	then	then	ADV
ijassa-754	97	16	the	the	DET
ijassa-754	97	17	model	model	NOUN
ijassa-754	97	18	is	be	AUX
ijassa-754	97	19	trained	train	VERB
ijassa-754	97	20	on	on	ADP
ijassa-754	97	21	the	the	DET
ijassa-754	97	22	k	k	PROPN
ijassa-754	97	23	1	1	NUM
ijassa-754	97	24	parts	part	NOUN
ijassa-754	97	25	of	of	ADP
ijassa-754	97	26	the	the	DET
ijassa-754	97	27	data	datum	NOUN
ijassa-754	97	28	,	,	PUNCT
ijassa-754	97	29	and	and	CCONJ
ijassa-754	97	30	the	the	DET
ijassa-754	97	31	rest	rest	NOUN
ijassa-754	97	32	of	of	ADP
ijassa-754	97	33	the	the	DET
ijassa-754	97	34	data	datum	NOUN
ijassa-754	97	35	is	be	AUX
ijassa-754	97	36	used	use	VERB
ijassa-754	97	37	to	to	PART
ijassa-754	97	38	test	test	VERB
ijassa-754	97	39	the	the	DET
ijassa-754	97	40	model	model	NOUN
ijassa-754	97	41	.	.	PUNCT
ijassa-754	98	1	the	the	DET
ijassa-754	98	2	procedure	procedure	NOUN
ijassa-754	98	3	is	be	AUX
ijassa-754	98	4	repeated	repeat	VERB
ijassa-754	98	5	k	k	PROPN
ijassa-754	98	6	times	time	NOUN
ijassa-754	98	7	;	;	PUNCT
ijassa-754	98	8	each	each	PRON
ijassa-754	98	9	of	of	ADP
ijassa-754	98	10	the	the	DET
ijassa-754	98	11	k	k	PROPN
ijassa-754	98	12	pieces	piece	NOUN
ijassa-754	98	13	of	of	ADP
ijassa-754	98	14	the	the	DET
ijassa-754	98	15	data	datum	NOUN
ijassa-754	98	16	is	be	AUX
ijassa-754	98	17	used	use	VERB
ijassa-754	98	18	to	to	PART
ijassa-754	98	19	test	test	VERB
ijassa-754	98	20	the	the	DET
ijassa-754	98	21	model	model	NOUN
ijassa-754	98	22	.	.	PUNCT
ijassa-754	99	1	as	as	ADP
ijassa-754	99	2	a	a	DET
ijassa-754	99	3	result	result	NOUN
ijassa-754	99	4	,	,	PUNCT
ijassa-754	99	5	we	we	PRON
ijassa-754	99	6	assess	assess	VERB
ijassa-754	99	7	effectiveness	effectiveness	NOUN
ijassa-754	99	8	of	of	ADP
ijassa-754	99	9	the	the	DET
ijassa-754	99	10	model	model	NOUN
ijassa-754	99	11	if	if	SCONJ
ijassa-754	99	12	the	the	DET
ijassa-754	99	13	available	available	ADJ
ijassa-754	99	14	data	datum	NOUN
ijassa-754	99	15	is	be	AUX
ijassa-754	99	16	used	use	VERB
ijassa-754	99	17	uniformly	uniformly	ADV
ijassa-754	99	18	.	.	PUNCT
ijassa-754	100	1	for	for	ADP
ijassa-754	100	2	this	this	DET
ijassa-754	100	3	task	task	NOUN
ijassa-754	100	4	,	,	PUNCT
ijassa-754	100	5	the	the	DET
ijassa-754	100	6	sample	sample	NOUN
ijassa-754	100	7	of	of	ADP
ijassa-754	100	8	n	n	NOUN
ijassa-754	100	9	=	=	SYM
ijassa-754	100	10	700000	700000	NUM
ijassa-754	100	11	elements	element	NOUN
ijassa-754	100	12	was	be	AUX
ijassa-754	100	13	divided	divide	VERB
ijassa-754	100	14	into	into	ADP
ijassa-754	100	15	k	k	PROPN
ijassa-754	100	16	=	=	SYM
ijassa-754	100	17	10	10	NUM
ijassa-754	100	18	parts	part	NOUN
ijassa-754	100	19	.	.	PUNCT
ijassa-754	101	1	moreover	moreover	ADV
ijassa-754	101	2	,	,	PUNCT
ijassa-754	101	3	the	the	DET
ijassa-754	101	4	training	training	NOUN
ijassa-754	101	5	sample	sample	NOUN
ijassa-754	101	6	was	be	AUX
ijassa-754	101	7	normalized	normalize	VERB
ijassa-754	101	8	before	before	ADP
ijassa-754	101	9	training	training	NOUN
ijassa-754	101	10	to	to	PART
ijassa-754	101	11	improve	improve	VERB
ijassa-754	101	12	results	result	NOUN
ijassa-754	101	13	of	of	ADP
ijassa-754	101	14	prediction	prediction	NOUN
ijassa-754	101	15	of	of	ADP
ijassa-754	101	16	the	the	DET
ijassa-754	101	17	designed	design	VERB
ijassa-754	101	18	neural	neural	ADJ
ijassa-754	101	19	network	network	NOUN
ijassa-754	101	20	model	model	NOUN
ijassa-754	101	21	.	.	PUNCT
ijassa-754	102	1	the	the	DET
ijassa-754	102	2	ranges	range	NOUN
ijassa-754	102	3	of	of	ADP
ijassa-754	102	4	gas	gas	NOUN
ijassa-754	102	5	mixture	mixture	NOUN
ijassa-754	102	6	components	component	NOUN
ijassa-754	102	7	for	for	ADP
ijassa-754	102	8	the	the	DET
ijassa-754	102	9	training	training	NOUN
ijassa-754	102	10	samples	sample	NOUN
ijassa-754	102	11	are	be	AUX
ijassa-754	102	12	shown	show	VERB
ijassa-754	102	13	in	in	ADP
ijassa-754	102	14	table	table	NOUN
ijassa-754	102	15	3.1	3.1	NUM
ijassa-754	102	16	.	.	PUNCT
ijassa-754	102	17	table	table	NOUN
ijassa-754	102	18	3.1	3.1	NUM
ijassa-754	102	19	.	.	PUNCT
ijassa-754	103	1	ranges	range	NOUN
ijassa-754	103	2	of	of	ADP
ijassa-754	103	3	components	component	NOUN
ijassa-754	103	4	molar	molar	ADJ
ijassa-754	103	5	fractions	fraction	NOUN
ijassa-754	103	6	for	for	ADP
ijassa-754	103	7	training	training	NOUN
ijassa-754	103	8	sample	sample	NOUN
ijassa-754	103	9	component	component	NOUN
ijassa-754	103	10	molar	molar	ADJ
ijassa-754	103	11	fraction	fraction	NOUN
ijassa-754	103	12	,	,	PUNCT
ijassa-754	103	13	%	%	INTJ
ijassa-754	103	14	methane	methane	NOUN
ijassa-754	103	15	70	70	NUM
ijassa-754	103	16	–	–	SYM
ijassa-754	103	17	100	100	NUM
ijassa-754	103	18	ethane	ethane	NOUN
ijassa-754	103	19	0	0	NUM
ijassa-754	103	20	–	–	PUNCT
ijassa-754	103	21	10	10	NUM
ijassa-754	103	22	propane	propane	NOUN
ijassa-754	103	23	0	0	NUM
ijassa-754	103	24	–	–	PUNCT
ijassa-754	103	25	5	5	NUM
ijassa-754	103	26	carbon	carbon	NOUN
ijassa-754	103	27	dioxide	dioxide	NOUN
ijassa-754	103	28	0	0	NUM
ijassa-754	103	29	–	–	PUNCT
ijassa-754	103	30	10	10	NUM
ijassa-754	103	31	nitrogen	nitrogen	NOUN
ijassa-754	103	32	0	0	NUM
ijassa-754	103	33	–	–	PUNCT
ijassa-754	103	34	10	10	NUM
ijassa-754	103	35	18	18	NUM
ijassa-754	103	36	i.	i.	NOUN
ijassa-754	103	37	brokarev	brokarev	PROPN
ijassa-754	103	38	,	,	PUNCT
ijassa-754	103	39	s.	s.	PROPN
ijassa-754	103	40	vaskovskii	vaskovskii	PROPN
ijassa-754	103	41	copyright	copyright	NOUN
ijassa-754	103	42	©	©	PROPN
ijassa-754	103	43	2019	2019	NUM
ijassa-754	103	44	assa	assa	PROPN
ijassa-754	103	45	adv	adv	PROPN
ijassa-754	103	46	.	.	PUNCT
ijassa-754	104	1	in	in	ADP
ijassa-754	104	2	systems	system	NOUN
ijassa-754	104	3	science	science	NOUN
ijassa-754	104	4	and	and	CCONJ
ijassa-754	104	5	appl	appl	NOUN
ijassa-754	104	6	.	.	PUNCT
ijassa-754	105	1	(	(	PUNCT
ijassa-754	105	2	2019	2019	NUM
ijassa-754	105	3	)	)	PUNCT
ijassa-754	105	4	the	the	DET
ijassa-754	105	5	aim	aim	NOUN
ijassa-754	105	6	is	be	AUX
ijassa-754	105	7	to	to	PART
ijassa-754	105	8	eliminate	eliminate	VERB
ijassa-754	105	9	possible	possible	ADJ
ijassa-754	105	10	multicollinearity	multicollinearity	NOUN
ijassa-754	105	11	of	of	ADP
ijassa-754	105	12	the	the	DET
ijassa-754	105	13	parameters	parameter	NOUN
ijassa-754	105	14	linear	linear	VERB
ijassa-754	105	15	interrelation	interrelation	NOUN
ijassa-754	105	16	of	of	ADP
ijassa-754	105	17	two	two	NUM
ijassa-754	105	18	or	or	CCONJ
ijassa-754	105	19	several	several	ADJ
ijassa-754	105	20	variables	variable	NOUN
ijassa-754	105	21	.	.	PUNCT
ijassa-754	106	1	multicollinearity	multicollinearity	NOUN
ijassa-754	106	2	can	can	AUX
ijassa-754	106	3	lead	lead	VERB
ijassa-754	106	4	to	to	ADP
ijassa-754	106	5	undesirable	undesirable	ADJ
ijassa-754	106	6	consequences	consequence	NOUN
ijassa-754	106	7	,	,	PUNCT
ijassa-754	106	8	since	since	SCONJ
ijassa-754	106	9	the	the	DET
ijassa-754	106	10	parameter	parameter	NOUN
ijassa-754	106	11	estimates	estimate	NOUN
ijassa-754	106	12	become	become	VERB
ijassa-754	106	13	unreliable	unreliable	ADJ
ijassa-754	106	14	.	.	PUNCT
ijassa-754	107	1	this	this	PRON
ijassa-754	107	2	means	mean	VERB
ijassa-754	107	3	that	that	SCONJ
ijassa-754	107	4	the	the	DET
ijassa-754	107	5	standard	standard	ADJ
ijassa-754	107	6	error	error	NOUN
ijassa-754	107	7	increases	increase	NOUN
ijassa-754	107	8	,	,	PUNCT
ijassa-754	107	9	and	and	CCONJ
ijassa-754	107	10	it	it	PRON
ijassa-754	107	11	becomes	become	VERB
ijassa-754	107	12	impossible	impossible	ADJ
ijassa-754	107	13	to	to	PART
ijassa-754	107	14	isolate	isolate	VERB
ijassa-754	107	15	how	how	SCONJ
ijassa-754	107	16	the	the	DET
ijassa-754	107	17	factors	factor	NOUN
ijassa-754	107	18	influence	influence	VERB
ijassa-754	107	19	the	the	DET
ijassa-754	107	20	effective	effective	ADJ
ijassa-754	107	21	indicators	indicator	NOUN
ijassa-754	107	22	.	.	PUNCT
ijassa-754	108	1	we	we	PRON
ijassa-754	108	2	use	use	VERB
ijassa-754	108	3	correlation	correlation	NOUN
ijassa-754	108	4	analysis	analysis	NOUN
ijassa-754	108	5	(	(	PUNCT
ijassa-754	108	6	see	see	VERB
ijassa-754	108	7	table	table	NOUN
ijassa-754	108	8	3.2	3.2	NUM
ijassa-754	108	9	)	)	PUNCT
ijassa-754	108	10	with	with	ADP
ijassa-754	108	11	carbon	carbon	NOUN
ijassa-754	108	12	dioxide	dioxide	NOUN
ijassa-754	108	13	molar	molar	ADJ
ijassa-754	108	14	fraction	fraction	NOUN
ijassa-754	108	15	,	,	PUNCT
ijassa-754	108	16	sound	sound	ADJ
ijassa-754	108	17	velocity	velocity	NOUN
ijassa-754	108	18	,	,	PUNCT
ijassa-754	108	19	and	and	CCONJ
ijassa-754	108	20	thermal	thermal	ADJ
ijassa-754	108	21	conductivity	conductivity	NOUN
ijassa-754	108	22	coefficient	coefficient	NOUN
ijassa-754	108	23	as	as	ADP
ijassa-754	108	24	the	the	DET
ijassa-754	108	25	input	input	NOUN
ijassa-754	108	26	parameters	parameter	NOUN
ijassa-754	108	27	.	.	PUNCT
ijassa-754	109	1	the	the	DET
ijassa-754	109	2	output	output	NOUN
ijassa-754	109	3	parameters	parameter	NOUN
ijassa-754	109	4	are	be	AUX
ijassa-754	109	5	molar	molar	ADJ
ijassa-754	109	6	fractions	fraction	NOUN
ijassa-754	109	7	of	of	ADP
ijassa-754	109	8	the	the	DET
ijassa-754	109	9	gas	gas	NOUN
ijassa-754	109	10	mixture	mixture	NOUN
ijassa-754	109	11	components	component	NOUN
ijassa-754	109	12	.	.	PUNCT
ijassa-754	110	1	table	table	NOUN
ijassa-754	110	2	3.2	3.2	NUM
ijassa-754	110	3	.	.	PUNCT
ijassa-754	111	1	the	the	DET
ijassa-754	111	2	correlation	correlation	NOUN
ijassa-754	111	3	analysis	analysis	NOUN
ijassa-754	111	4	results	result	NOUN
ijassa-754	111	5	s	s	VERB
ijassa-754	111	6	p	p	NOUN
ijassa-754	111	7	ee	ee	PROPN
ijassa-754	112	1	d	d	X
ijassa-754	112	2	o	o	NOUN
ijassa-754	112	3	f	f	NOUN
ijassa-754	113	1	so	so	ADV
ijassa-754	113	2	u	u	PROPN
ijassa-754	113	3	n	n	PROPN
ijassa-754	113	4	d	d	NOUN
ijassa-754	113	5	,	,	PUNCT
ijassa-754	113	6	m	m	VERB
ijassa-754	113	7	/s	/s	NOUN
ijassa-754	113	8	t	t	PROPN
ijassa-754	113	9	h	h	NOUN
ijassa-754	114	1	er	er	INTJ
ijassa-754	114	2	m	m	VERB
ijassa-754	114	3	al	al	PROPN
ijassa-754	114	4	c	c	PROPN
ijassa-754	114	5	o	o	PROPN
ijassa-754	115	1	n	n	PROPN
ijassa-754	115	2	d	d	X
ijassa-754	115	3	u	u	X
ijassa-754	115	4	ct	ct	NUM
ijassa-754	115	5	iv	iv	NUM
ijassa-754	115	6	it	it	PRON
ijassa-754	115	7	y	y	INTJ
ijassa-754	115	8	,	,	PUNCT
ijassa-754	115	9	m	m	VERB
ijassa-754	115	10	w	w	PROPN
ijassa-754	115	11	/	/	PUNCT
ijassa-754	115	12	(	(	PUNCT
ijassa-754	115	13	m	m	VERB
ijassa-754	115	14	*	*	PUNCT
ijassa-754	115	15	k	k	X
ijassa-754	115	16	)	)	PUNCT
ijassa-754	116	1	m	m	VERB
ijassa-754	116	2	et	et	NOUN
ijassa-754	116	3	h	h	NOUN
ijassa-754	116	4	an	an	DET
ijassa-754	116	5	e	e	NOUN
ijassa-754	116	6	m	m	NOUN
ijassa-754	116	7	o	o	NOUN
ijassa-754	116	8	la	la	INTJ
ijassa-754	116	9	r	r	NOUN
ijassa-754	116	10	fr	fr	NOUN
ijassa-754	116	11	ac	ac	INTJ
ijassa-754	116	12	ti	ti	PROPN
ijassa-754	116	13	o	o	NOUN
ijassa-754	116	14	n	n	NOUN
ijassa-754	116	15	,	,	PUNCT
ijassa-754	117	1	%	%	INTJ
ijassa-754	117	2	n	n	INTJ
ijassa-754	118	1	it	it	PRON
ijassa-754	118	2	ro	ro	INTJ
ijassa-754	118	3	g	g	PROPN
ijassa-754	118	4	en	en	INTJ
ijassa-754	118	5	m	m	PROPN
ijassa-754	118	6	o	o	NOUN
ijassa-754	118	7	la	la	INTJ
ijassa-754	119	1	r	r	NOUN
ijassa-754	119	2	fr	fr	NOUN
ijassa-754	119	3	ac	ac	INTJ
ijassa-754	119	4	ti	ti	PROPN
ijassa-754	119	5	o	o	NOUN
ijassa-754	119	6	n	n	NOUN
ijassa-754	119	7	,	,	PUNCT
ijassa-754	119	8	%	%	INTJ
ijassa-754	120	1	c	c	AUX
ijassa-754	120	2	ar	ar	PROPN
ijassa-754	120	3	b	b	PROPN
ijassa-754	120	4	o	o	PROPN
ijassa-754	120	5	n	n	PROPN
ijassa-754	120	6	d	d	X
ijassa-754	120	7	io	io	X
ijassa-754	120	8	x	x	PROPN
ijassa-754	120	9	i	i	PROPN
ijassa-754	120	10	d	d	PROPN
ijassa-754	120	11	e	e	NOUN
ijassa-754	120	12	m	m	VERB
ijassa-754	120	13	o	o	VERB
ijassa-754	120	14	la	la	INTJ
ijassa-754	120	15	r	r	NOUN
ijassa-754	120	16	fr	fr	NOUN
ijassa-754	120	17	ac	ac	INTJ
ijassa-754	120	18	ti	ti	PROPN
ijassa-754	120	19	o	o	NOUN
ijassa-754	120	20	n	n	NOUN
ijassa-754	120	21	,	,	PUNCT
ijassa-754	120	22	%	%	INTJ
ijassa-754	120	23	e	e	X
ijassa-754	120	24	th	th	X
ijassa-754	120	25	an	an	DET
ijassa-754	120	26	e	e	NOUN
ijassa-754	120	27	m	m	NOUN
ijassa-754	120	28	o	o	NOUN
ijassa-754	120	29	la	la	INTJ
ijassa-754	120	30	r	r	NOUN
ijassa-754	120	31	fr	fr	NOUN
ijassa-754	121	1	ac	ac	INTJ
ijassa-754	121	2	ti	ti	PROPN
ijassa-754	121	3	o	o	NOUN
ijassa-754	121	4	n	n	NOUN
ijassa-754	121	5	,	,	PUNCT
ijassa-754	121	6	%	%	INTJ
ijassa-754	122	1	p	p	NOUN
ijassa-754	122	2	ro	ro	X
ijassa-754	122	3	p	p	X
ijassa-754	122	4	an	an	DET
ijassa-754	122	5	e	e	NOUN
ijassa-754	122	6	m	m	NOUN
ijassa-754	122	7	o	o	NOUN
ijassa-754	122	8	la	la	INTJ
ijassa-754	123	1	r	r	NOUN
ijassa-754	123	2	fr	fr	NOUN
ijassa-754	123	3	ac	ac	INTJ
ijassa-754	123	4	ti	ti	PROPN
ijassa-754	123	5	o	o	NOUN
ijassa-754	123	6	n	n	NOUN
ijassa-754	123	7	,	,	PUNCT
ijassa-754	123	8	%	%	INTJ
ijassa-754	123	9	speed	speed	NOUN
ijassa-754	123	10	of	of	ADP
ijassa-754	123	11	sound	sound	NOUN
ijassa-754	123	12	,	,	PUNCT
ijassa-754	123	13	m	m	PROPN
ijassa-754	123	14	/	/	SYM
ijassa-754	123	15	s	s	PART
ijassa-754	123	16	1	1	NUM
ijassa-754	123	17	0,99	0,99	NOUN
ijassa-754	123	18	0,93	0,93	PUNCT
ijassa-754	124	1	-0,24	-0,24	PROPN
ijassa-754	124	2	-0,61	-0,61	NOUN
ijassa-754	124	3	-0,33	-0,33	PUNCT
ijassa-754	124	4	-0,67	-0,67	PUNCT
ijassa-754	124	5	thermal	thermal	ADJ
ijassa-754	124	6	conductivity	conductivity	NOUN
ijassa-754	124	7	,	,	PUNCT
ijassa-754	124	8	mw/(m*k	mw/(m*k	PROPN
ijassa-754	124	9	)	)	PUNCT
ijassa-754	124	10	0,99	0,99	PROPN
ijassa-754	124	11	1	1	NUM
ijassa-754	124	12	0,91	0,91	PUNCT
ijassa-754	124	13	-0,15	-0,15	X
ijassa-754	125	1	-0,53	-0,53	PUNCT
ijassa-754	125	2	-0,45	-0,45	PUNCT
ijassa-754	125	3	-0,71	-0,71	PUNCT
ijassa-754	125	4	methane	methane	NOUN
ijassa-754	125	5	molar	molar	ADJ
ijassa-754	125	6	fraction	fraction	NOUN
ijassa-754	125	7	,	,	PUNCT
ijassa-754	125	8	%	%	NOUN
ijassa-754	125	9	0,93	0,93	PUNCT
ijassa-754	125	10	0,91	0,91	NOUN
ijassa-754	126	1	1	1	NUM
ijassa-754	126	2	-0,52	-0,52	PUNCT
ijassa-754	126	3	-0,52	-0,52	PUNCT
ijassa-754	126	4	-0,48	-0,48	PUNCT
ijassa-754	126	5	-0,49	-0,49	PUNCT
ijassa-754	126	6	nitrogen	nitrogen	NOUN
ijassa-754	126	7	molar	molar	ADJ
ijassa-754	126	8	fraction	fraction	NOUN
ijassa-754	126	9	,	,	PUNCT
ijassa-754	126	10	%	%	INTJ
ijassa-754	126	11	-0,24	-0,24	INTJ
ijassa-754	126	12	-0,15	-0,15	PUNCT
ijassa-754	126	13	-0,52	-0,52	PROPN
ijassa-754	126	14	1	1	NUM
ijassa-754	126	15	0	0	NUM
ijassa-754	126	16	0	0	NUM
ijassa-754	126	17	0	0	NUM
ijassa-754	126	18	carbon	carbon	NOUN
ijassa-754	126	19	dioxide	dioxide	NOUN
ijassa-754	126	20	molar	molar	ADJ
ijassa-754	126	21	fraction	fraction	NOUN
ijassa-754	126	22	,	,	PUNCT
ijassa-754	126	23	%	%	INTJ
ijassa-754	126	24	-0,61	-0,61	PUNCT
ijassa-754	127	1	-0,53	-0,53	PUNCT
ijassa-754	127	2	-0,52	-0,52	PUNCT
ijassa-754	127	3	0	0	NUM
ijassa-754	127	4	1	1	NUM
ijassa-754	127	5	0	0	NUM
ijassa-754	127	6	0	0	NUM
ijassa-754	127	7	ethane	ethane	ADJ
ijassa-754	127	8	molar	molar	ADJ
ijassa-754	127	9	fraction	fraction	NOUN
ijassa-754	127	10	,	,	PUNCT
ijassa-754	127	11	%	%	INTJ
ijassa-754	127	12	-0,33	-0,33	PUNCT
ijassa-754	127	13	-0,45	-0,45	PUNCT
ijassa-754	127	14	-0,48	-0,48	NOUN
ijassa-754	127	15	0	0	NUM
ijassa-754	127	16	0	0	NUM
ijassa-754	127	17	1	1	NUM
ijassa-754	127	18	0	0	NUM
ijassa-754	127	19	propane	propane	NOUN
ijassa-754	127	20	molar	molar	ADJ
ijassa-754	127	21	fraction	fraction	NOUN
ijassa-754	127	22	,	,	PUNCT
ijassa-754	127	23	%	%	INTJ
ijassa-754	127	24	-0,68	-0,68	INTJ
ijassa-754	127	25	-0,75	-0,75	INTJ
ijassa-754	128	1	-0,49	-0,49	NOUN
ijassa-754	128	2	0	0	NUM
ijassa-754	128	3	0	0	NUM
ijassa-754	128	4	0	0	NUM
ijassa-754	128	5	1	1	NUM
ijassa-754	128	6	the	the	DET
ijassa-754	128	7	results	result	NOUN
ijassa-754	128	8	of	of	ADP
ijassa-754	128	9	correlation	correlation	NOUN
ijassa-754	128	10	analysis	analysis	NOUN
ijassa-754	128	11	are	be	AUX
ijassa-754	128	12	shown	show	VERB
ijassa-754	128	13	on	on	ADP
ijassa-754	128	14	fig	fig	NOUN
ijassa-754	128	15	.	.	PUNCT
ijassa-754	129	1	3.2	3.2	NUM
ijassa-754	129	2	for	for	ADP
ijassa-754	129	3	parameters	parameter	NOUN
ijassa-754	129	4	that	that	PRON
ijassa-754	129	5	have	have	AUX
ijassa-754	129	6	not	not	PART
ijassa-754	129	7	been	be	AUX
ijassa-754	129	8	chosen	choose	VERB
ijassa-754	129	9	as	as	ADP
ijassa-754	129	10	input	input	NOUN
ijassa-754	129	11	parameters	parameter	NOUN
ijassa-754	129	12	because	because	SCONJ
ijassa-754	129	13	of	of	ADP
ijassa-754	129	14	low	low	ADJ
ijassa-754	129	15	correlation	correlation	NOUN
ijassa-754	129	16	(	(	PUNCT
ijassa-754	129	17	speed	speed	NOUN
ijassa-754	129	18	of	of	ADP
ijassa-754	129	19	sound	sound	NOUN
ijassa-754	129	20	is	be	AUX
ijassa-754	129	21	shown	show	VERB
ijassa-754	129	22	as	as	ADP
ijassa-754	129	23	reference	reference	NOUN
ijassa-754	129	24	parameter	parameter	NOUN
ijassa-754	129	25	for	for	ADP
ijassa-754	129	26	comparison	comparison	NOUN
ijassa-754	129	27	)	)	PUNCT
ijassa-754	129	28	.	.	PUNCT
ijassa-754	130	1	the	the	DET
ijassa-754	130	2	results	result	NOUN
ijassa-754	130	3	of	of	ADP
ijassa-754	130	4	correlation	correlation	NOUN
ijassa-754	130	5	analysis	analysis	NOUN
ijassa-754	130	6	are	be	AUX
ijassa-754	130	7	shown	show	VERB
ijassa-754	130	8	on	on	ADP
ijassa-754	130	9	fig	fig	NOUN
ijassa-754	130	10	.	.	PUNCT
ijassa-754	131	1	3.3	3.3	NUM
ijassa-754	131	2	for	for	ADP
ijassa-754	131	3	parameters	parameter	NOUN
ijassa-754	131	4	that	that	PRON
ijassa-754	131	5	have	have	AUX
ijassa-754	131	6	been	be	AUX
ijassa-754	131	7	chosen	choose	VERB
ijassa-754	131	8	as	as	ADP
ijassa-754	131	9	input	input	NOUN
ijassa-754	131	10	parameters	parameter	NOUN
ijassa-754	131	11	because	because	SCONJ
ijassa-754	131	12	of	of	ADP
ijassa-754	131	13	high	high	ADJ
ijassa-754	131	14	correlation	correlation	NOUN
ijassa-754	131	15	(	(	PUNCT
ijassa-754	131	16	methane	methane	NOUN
ijassa-754	131	17	concentration	concentration	NOUN
ijassa-754	131	18	is	be	AUX
ijassa-754	131	19	shown	show	VERB
ijassa-754	131	20	as	as	ADP
ijassa-754	131	21	reference	reference	NOUN
ijassa-754	131	22	parameter	parameter	NOUN
ijassa-754	131	23	for	for	ADP
ijassa-754	131	24	comparison	comparison	NOUN
ijassa-754	131	25	)	)	PUNCT
ijassa-754	131	26	.	.	PUNCT
ijassa-754	132	1	distributed	distribute	VERB
ijassa-754	132	2	data	datum	NOUN
ijassa-754	132	3	gathering	gathering	NOUN
ijassa-754	132	4	system	system	NOUN
ijassa-754	132	5	to	to	PART
ijassa-754	132	6	analyze	analyze	VERB
ijassa-754	132	7	natural	natural	ADJ
ijassa-754	132	8	gas	gas	NOUN
ijassa-754	132	9	composition	composition	NOUN
ijassa-754	132	10	19	19	NUM
ijassa-754	132	11	copyright	copyright	NOUN
ijassa-754	132	12	©	©	PROPN
ijassa-754	132	13	2019	2019	NUM
ijassa-754	132	14	assa	assa	NOUN
ijassa-754	132	15	.	.	PUNCT
ijassa-754	133	1	adv	adv	PROPN
ijassa-754	133	2	.	.	PUNCT
ijassa-754	134	1	in	in	ADP
ijassa-754	134	2	systems	system	NOUN
ijassa-754	134	3	science	science	NOUN
ijassa-754	134	4	and	and	CCONJ
ijassa-754	134	5	appl	appl	NOUN
ijassa-754	134	6	.	.	PUNCT
ijassa-754	135	1	(	(	PUNCT
ijassa-754	135	2	2019	2019	NUM
ijassa-754	135	3	)	)	PUNCT
ijassa-754	135	4	fig	fig	NOUN
ijassa-754	135	5	.	.	PUNCT
ijassa-754	136	1	3.2	3.2	NUM
ijassa-754	136	2	.	.	PUNCT
ijassa-754	137	1	the	the	DET
ijassa-754	137	2	correlation	correlation	NOUN
ijassa-754	137	3	analysis	analysis	NOUN
ijassa-754	137	4	results	result	NOUN
ijassa-754	137	5	for	for	ADP
ijassa-754	137	6	unchosen	unchosen	NOUN
ijassa-754	137	7	as	as	ADP
ijassa-754	137	8	input	input	NOUN
ijassa-754	137	9	parameters	parameter	NOUN
ijassa-754	137	10	fig	fig	NOUN
ijassa-754	137	11	.	.	PUNCT
ijassa-754	138	1	3.3	3.3	NUM
ijassa-754	138	2	.	.	PUNCT
ijassa-754	139	1	the	the	DET
ijassa-754	139	2	correlation	correlation	NOUN
ijassa-754	139	3	analysis	analysis	NOUN
ijassa-754	139	4	results	result	NOUN
ijassa-754	139	5	for	for	SCONJ
ijassa-754	139	6	chosen	choose	VERB
ijassa-754	139	7	as	as	ADP
ijassa-754	139	8	input	input	NOUN
ijassa-754	139	9	parameters	parameter	NOUN
ijassa-754	139	10	this	this	DET
ijassa-754	139	11	neural	neural	ADJ
ijassa-754	139	12	network	network	NOUN
ijassa-754	139	13	model	model	NOUN
ijassa-754	139	14	is	be	AUX
ijassa-754	139	15	proposed	propose	VERB
ijassa-754	139	16	as	as	ADP
ijassa-754	139	17	the	the	DET
ijassa-754	139	18	main	main	ADJ
ijassa-754	139	19	statistical	statistical	ADJ
ijassa-754	139	20	model	model	NOUN
ijassa-754	139	21	in	in	ADP
ijassa-754	139	22	the	the	DET
ijassa-754	139	23	task	task	NOUN
ijassa-754	139	24	[	[	X
ijassa-754	139	25	9	9	NUM
ijassa-754	139	26	]	]	PUNCT
ijassa-754	139	27	.	.	PUNCT
ijassa-754	140	1	to	to	PART
ijassa-754	140	2	solve	solve	VERB
ijassa-754	140	3	the	the	DET
ijassa-754	140	4	problem	problem	NOUN
ijassa-754	140	5	,	,	PUNCT
ijassa-754	140	6	a	a	DET
ijassa-754	140	7	three	three	NUM
ijassa-754	140	8	-	-	PUNCT
ijassa-754	140	9	layer	layer	NOUN
ijassa-754	140	10	network	network	NOUN
ijassa-754	140	11	(	(	PUNCT
ijassa-754	140	12	multilayer	multilayer	PROPN
ijassa-754	140	13	perceptron	perceptron	PROPN
ijassa-754	140	14	)	)	PUNCT
ijassa-754	140	15	was	be	AUX
ijassa-754	140	16	chosen	choose	VERB
ijassa-754	140	17	,	,	PUNCT
ijassa-754	140	18	which	which	PRON
ijassa-754	140	19	includes	include	VERB
ijassa-754	140	20	two	two	NUM
ijassa-754	140	21	neurons	neuron	NOUN
ijassa-754	140	22	in	in	ADP
ijassa-754	140	23	the	the	DET
ijassa-754	140	24	input	input	NOUN
ijassa-754	140	25	layer	layer	NOUN
ijassa-754	140	26	,	,	PUNCT
ijassa-754	140	27	where	where	SCONJ
ijassa-754	140	28	two	two	NUM
ijassa-754	140	29	is	be	AUX
ijassa-754	140	30	the	the	DET
ijassa-754	140	31	number	number	NOUN
ijassa-754	140	32	of	of	ADP
ijassa-754	140	33	components	component	NOUN
ijassa-754	140	34	of	of	ADP
ijassa-754	140	35	the	the	DET
ijassa-754	140	36	input	input	NOUN
ijassa-754	140	37	vector	vector	NOUN
ijassa-754	140	38	,	,	PUNCT
ijassa-754	140	39	eleven	eleven	NUM
ijassa-754	140	40	neurons	neuron	NOUN
ijassa-754	140	41	in	in	ADP
ijassa-754	140	42	the	the	DET
ijassa-754	140	43	second	second	ADJ
ijassa-754	140	44	layer	layer	NOUN
ijassa-754	140	45	and	and	CCONJ
ijassa-754	140	46	four	four	NUM
ijassa-754	140	47	neurons	neuron	NOUN
ijassa-754	140	48	in	in	ADP
ijassa-754	140	49	the	the	DET
ijassa-754	140	50	output	output	NOUN
ijassa-754	140	51	layer	layer	NOUN
ijassa-754	140	52	,	,	PUNCT
ijassa-754	140	53	where	where	SCONJ
ijassa-754	140	54	four	four	NUM
ijassa-754	140	55	is	be	AUX
ijassa-754	140	56	the	the	DET
ijassa-754	140	57	number	number	NOUN
ijassa-754	140	58	of	of	ADP
ijassa-754	140	59	components	component	NOUN
ijassa-754	140	60	of	of	ADP
ijassa-754	140	61	the	the	DET
ijassa-754	140	62	output	output	NOUN
ijassa-754	140	63	vector	vector	NOUN
ijassa-754	140	64	.	.	PUNCT
ijassa-754	141	1	the	the	DET
ijassa-754	141	2	input	input	NOUN
ijassa-754	141	3	layer	layer	NOUN
ijassa-754	141	4	is	be	AUX
ijassa-754	141	5	a	a	DET
ijassa-754	141	6	vector	vector	NOUN
ijassa-754	141	7	x	x	PUNCT
ijassa-754	141	8	=	=	PUNCT
ijassa-754	142	1	[	[	X
ijassa-754	142	2	x0	x0	PROPN
ijassa-754	142	3	x1	x1	PROPN
ijassa-754	142	4	x2	x2	PROPN
ijassa-754	142	5	]	]	X
ijassa-754	142	6	.	.	PUNCT
ijassa-754	143	1	the	the	DET
ijassa-754	143	2	neurons	neuron	NOUN
ijassa-754	143	3	of	of	ADP
ijassa-754	143	4	each	each	DET
ijassa-754	143	5	next	next	ADJ
ijassa-754	143	6	layer	layer	NOUN
ijassa-754	143	7	are	be	AUX
ijassa-754	143	8	connected	connect	VERB
ijassa-754	143	9	to	to	ADP
ijassa-754	143	10	the	the	DET
ijassa-754	143	11	neurons	neuron	NOUN
ijassa-754	143	12	of	of	ADP
ijassa-754	143	13	the	the	DET
ijassa-754	143	14	previous	previous	ADJ
ijassa-754	143	15	layer	layer	NOUN
ijassa-754	143	16	,	,	PUNCT
ijassa-754	143	17	and	and	CCONJ
ijassa-754	143	18	each	each	DET
ijassa-754	143	19	input	input	NOUN
ijassa-754	143	20	signal	signal	NOUN
ijassa-754	143	21	has	have	VERB
ijassa-754	143	22	a	a	DET
ijassa-754	143	23	certain	certain	ADJ
ijassa-754	143	24	weight	weight	NOUN
ijassa-754	143	25	.	.	PUNCT
ijassa-754	144	1	the	the	DET
ijassa-754	144	2	weight	weight	NOUN
ijassa-754	144	3	is	be	AUX
ijassa-754	144	4	the	the	DET
ijassa-754	144	5	same	same	ADJ
ijassa-754	144	6	for	for	ADP
ijassa-754	144	7	all	all	DET
ijassa-754	144	8	input	input	NOUN
ijassa-754	144	9	neurons	neuron	NOUN
ijassa-754	144	10	since	since	SCONJ
ijassa-754	144	11	all	all	DET
ijassa-754	144	12	input	input	NOUN
ijassa-754	144	13	variables	variable	NOUN
ijassa-754	144	14	are	be	AUX
ijassa-754	144	15	equally	equally	ADV
ijassa-754	144	16	important	important	ADJ
ijassa-754	144	17	.	.	PUNCT
ijassa-754	145	1	each	each	DET
ijassa-754	145	2	neuron	neuron	NOUN
ijassa-754	145	3	has	have	VERB
ijassa-754	145	4	an	an	DET
ijassa-754	145	5	activation	activation	NOUN
ijassa-754	145	6	function	function	NOUN
ijassa-754	145	7	;	;	PUNCT
ijassa-754	145	8	the	the	DET
ijassa-754	145	9	function	function	NOUN
ijassa-754	145	10	argument	argument	NOUN
ijassa-754	145	11	is	be	AUX
ijassa-754	145	12	the	the	DET
ijassa-754	145	13	input	input	NOUN
ijassa-754	145	14	signal	signal	NOUN
ijassa-754	145	15	of	of	ADP
ijassa-754	145	16	the	the	DET
ijassa-754	145	17	neuron	neuron	NOUN
ijassa-754	145	18	.	.	PUNCT
ijassa-754	146	1	for	for	ADP
ijassa-754	146	2	the	the	DET
ijassa-754	146	3	neurons	neuron	NOUN
ijassa-754	146	4	of	of	ADP
ijassa-754	146	5	the	the	DET
ijassa-754	146	6	hidden	hide	VERB
ijassa-754	146	7	layer	layer	NOUN
ijassa-754	146	8	,	,	PUNCT
ijassa-754	146	9	the	the	DET
ijassa-754	146	10	activation	activation	NOUN
ijassa-754	146	11	function	function	NOUN
ijassa-754	146	12	is	be	AUX
ijassa-754	146	13	sigmoidal	sigmoidal	NOUN
ijassa-754	146	14	in	in	ADP
ijassa-754	146	15	the	the	DET
ijassa-754	146	16	form	form	NOUN
ijassa-754	146	17	of	of	ADP
ijassa-754	146	18	a	a	DET
ijassa-754	146	19	hyperbolic	hyperbolic	ADJ
ijassa-754	146	20	tangent	tangent	NOUN
ijassa-754	146	21	.	.	PUNCT
ijassa-754	147	1	for	for	ADP
ijassa-754	147	2	the	the	DET
ijassa-754	147	3	neurons	neuron	NOUN
ijassa-754	147	4	of	of	ADP
ijassa-754	147	5	the	the	DET
ijassa-754	147	6	output	output	NOUN
ijassa-754	147	7	layer	layer	NOUN
ijassa-754	147	8	,	,	PUNCT
ijassa-754	147	9	the	the	DET
ijassa-754	147	10	activation	activation	NOUN
ijassa-754	147	11	function	function	NOUN
ijassa-754	147	12	is	be	AUX
ijassa-754	147	13	linear	linear	ADJ
ijassa-754	147	14	.	.	PUNCT
ijassa-754	148	1	for	for	ADP
ijassa-754	148	2	training	train	VERB
ijassa-754	148	3	the	the	DET
ijassa-754	148	4	network	network	NOUN
ijassa-754	148	5	the	the	DET
ijassa-754	148	6	levenberg	levenberg	PROPN
ijassa-754	148	7	-	-	PUNCT
ijassa-754	148	8	marquardt	marquardt	PROPN
ijassa-754	148	9	algorithm	algorithm	PROPN
ijassa-754	148	10	was	be	AUX
ijassa-754	148	11	chosen	choose	VERB
ijassa-754	148	12	.	.	PUNCT
ijassa-754	149	1	this	this	DET
ijassa-754	149	2	algorithm	algorithm	NOUN
ijassa-754	149	3	optimizes	optimize	VERB
ijassa-754	149	4	parameters	parameter	NOUN
ijassa-754	149	5	of	of	ADP
ijassa-754	149	6	nonlinear	nonlinear	ADJ
ijassa-754	149	7	regression	regression	NOUN
ijassa-754	149	8	models	model	NOUN
ijassa-754	149	9	.	.	PUNCT
ijassa-754	150	1	note	note	VERB
ijassa-754	150	2	that	that	SCONJ
ijassa-754	150	3	in	in	ADP
ijassa-754	150	4	this	this	DET
ijassa-754	150	5	algorithm	algorithm	NOUN
ijassa-754	150	6	,	,	PUNCT
ijassa-754	150	7	the	the	DET
ijassa-754	150	8	optimization	optimization	NOUN
ijassa-754	150	9	criterion	criterion	NOUN
ijassa-754	150	10	is	be	AUX
ijassa-754	150	11	the	the	DET
ijassa-754	150	12	root	root	NOUN
ijassa-754	150	13	-	-	PUNCT
ijassa-754	150	14	mean	mean	ADJ
ijassa-754	150	15	-	-	PUNCT
ijassa-754	150	16	square	square	NOUN
ijassa-754	150	17	error	error	NOUN
ijassa-754	150	18	of	of	ADP
ijassa-754	150	19	the	the	DET
ijassa-754	150	20	model	model	NOUN
ijassa-754	150	21	on	on	ADP
ijassa-754	150	22	a	a	DET
ijassa-754	150	23	training	training	NOUN
ijassa-754	150	24	sample	sample	NOUN
ijassa-754	150	25	.	.	PUNCT
ijassa-754	151	1	the	the	DET
ijassa-754	151	2	basic	basic	ADJ
ijassa-754	151	3	idea	idea	NOUN
ijassa-754	151	4	of	of	ADP
ijassa-754	151	5	the	the	DET
ijassa-754	151	6	algorithm	algorithm	NOUN
ijassa-754	151	7	is	be	AUX
ijassa-754	151	8	as	as	SCONJ
ijassa-754	151	9	follows	follow	VERB
ijassa-754	151	10	:	:	PUNCT
ijassa-754	151	11	to	to	PART
ijassa-754	151	12	minimize	minimize	VERB
ijassa-754	151	13	the	the	DET
ijassa-754	151	14	error	error	NOUN
ijassa-754	151	15	locally	locally	ADV
ijassa-754	151	16	,	,	PUNCT
ijassa-754	151	17	the	the	DET
ijassa-754	151	18	initial	initial	ADJ
ijassa-754	151	19	values	value	NOUN
ijassa-754	151	20	of	of	ADP
ijassa-754	151	21	the	the	DET
ijassa-754	151	22	parameters	parameter	NOUN
ijassa-754	151	23	are	be	AUX
ijassa-754	151	24	approximated	approximate	VERB
ijassa-754	151	25	.	.	PUNCT
ijassa-754	152	1	let	let	VERB
ijassa-754	152	2	a	a	DET
ijassa-754	152	3	regression	regression	NOUN
ijassa-754	152	4	sample	sample	NOUN
ijassa-754	152	5	be	be	AUX
ijassa-754	152	6	a	a	DET
ijassa-754	152	7	set	set	NOUN
ijassa-754	152	8	of	of	ADP
ijassa-754	152	9	pairs	pair	NOUN
ijassa-754	152	10	of	of	ADP
ijassa-754	152	11	an	an	DET
ijassa-754	152	12	independent	independent	ADJ
ijassa-754	152	13	variable	variable	NOUN
ijassa-754	152	14	x	x	PUNCT
ijassa-754	152	15	and	and	CCONJ
ijassa-754	152	16	a	a	DET
ijassa-754	152	17	dependent	dependent	ADJ
ijassa-754	152	18	variable	variable	ADJ
ijassa-754	152	19	y	y	NOUN
ijassa-754	152	20	,	,	PUNCT
ijassa-754	152	21	and	and	CCONJ
ijassa-754	152	22	the	the	DET
ijassa-754	152	23	regression	regression	NOUN
ijassa-754	152	24	model	model	NOUN
ijassa-754	152	25	is	be	AUX
ijassa-754	152	26	a	a	DET
ijassa-754	152	27	continuously	continuously	ADV
ijassa-754	152	28	differentiable	differentiable	ADJ
ijassa-754	152	29	function	function	NOUN
ijassa-754	152	30	f.	f.	PROPN
ijassa-754	152	31	it	it	PRON
ijassa-754	152	32	is	be	AUX
ijassa-754	152	33	20	20	NUM
ijassa-754	152	34	i.	i.	NOUN
ijassa-754	152	35	brokarev	brokarev	PROPN
ijassa-754	152	36	,	,	PUNCT
ijassa-754	153	1	s.	s.	PROPN
ijassa-754	153	2	vaskovskii	vaskovskii	PROPN
ijassa-754	153	3	copyright	copyright	NOUN
ijassa-754	153	4	©	©	PROPN
ijassa-754	153	5	2019	2019	NUM
ijassa-754	153	6	assa	assa	PROPN
ijassa-754	153	7	adv	adv	PROPN
ijassa-754	153	8	.	.	PUNCT
ijassa-754	154	1	in	in	ADP
ijassa-754	154	2	systems	system	NOUN
ijassa-754	154	3	science	science	NOUN
ijassa-754	154	4	and	and	CCONJ
ijassa-754	154	5	appl	appl	NOUN
ijassa-754	154	6	.	.	PUNCT
ijassa-754	155	1	(	(	PUNCT
ijassa-754	155	2	2019	2019	NUM
ijassa-754	155	3	)	)	PUNCT
ijassa-754	155	4	necessary	necessary	ADJ
ijassa-754	155	5	to	to	PART
ijassa-754	155	6	find	find	VERB
ijassa-754	155	7	the	the	DET
ijassa-754	155	8	value	value	NOUN
ijassa-754	155	9	of	of	ADP
ijassa-754	155	10	the	the	DET
ijassa-754	155	11	parameter	parameter	NOUN
ijassa-754	155	12	vector	vector	PROPN
ijassa-754	155	13	w	w	PROPN
ijassa-754	155	14	,	,	PUNCT
ijassa-754	155	15	where	where	SCONJ
ijassa-754	155	16	the	the	DET
ijassa-754	155	17	error	error	NOUN
ijassa-754	155	18	function	function	NOUN
ijassa-754	155	19	fε	fε	NOUN
ijassa-754	155	20	reaches	reach	VERB
ijassa-754	155	21	its	its	PRON
ijassa-754	155	22	local	local	ADJ
ijassa-754	155	23	minimum	minimum	NOUN
ijassa-754	155	24	:	:	PUNCT
ijassa-754	155	25	1	1	NUM
ijassa-754	155	26	(	(	PUNCT
ijassa-754	155	27	(	(	PUNCT
ijassa-754	155	28	,	,	PUNCT
ijassa-754	155	29	)	)	PUNCT
ijassa-754	156	1	n	n	CCONJ
ijassa-754	156	2	i	i	PRON
ijassa-754	157	1	i	i	PRON
ijassa-754	158	1	i	i	PRON
ijassa-754	158	2	f	f	NOUN
ijassa-754	159	1	=	=	SYM
ijassa-754	159	2	y	y	NOUN
ijassa-754	159	3	f	f	NOUN
ijassa-754	159	4	x	x	PUNCT
ijassa-754	159	5	w	w	PROPN
ijassa-754	159	6			PROPN
ijassa-754	160	1			X
ijassa-754	160	2	(	(	PUNCT
ijassa-754	160	3	3.1	3.1	NUM
ijassa-754	160	4	)	)	PUNCT
ijassa-754	160	5	on	on	ADP
ijassa-754	160	6	the	the	DET
ijassa-754	160	7	first	first	ADJ
ijassa-754	160	8	iteration	iteration	NOUN
ijassa-754	160	9	of	of	ADP
ijassa-754	160	10	the	the	DET
ijassa-754	160	11	algorithm	algorithm	NOUN
ijassa-754	160	12	,	,	PUNCT
ijassa-754	160	13	the	the	DET
ijassa-754	160	14	initial	initial	ADJ
ijassa-754	160	15	vector	vector	NOUN
ijassa-754	160	16	of	of	ADP
ijassa-754	160	17	parameters	parameter	NOUN
ijassa-754	160	18	w0	w0	PROPN
ijassa-754	160	19	is	be	AUX
ijassa-754	160	20	specified	specify	VERB
ijassa-754	160	21	.	.	PUNCT
ijassa-754	161	1	on	on	ADP
ijassa-754	161	2	each	each	DET
ijassa-754	161	3	following	follow	VERB
ijassa-754	161	4	iteration	iteration	NOUN
ijassa-754	161	5	,	,	PUNCT
ijassa-754	161	6	the	the	DET
ijassa-754	161	7	vector	vector	NOUN
ijassa-754	161	8	is	be	AUX
ijassa-754	161	9	replaced	replace	VERB
ijassa-754	161	10	by	by	ADP
ijassa-754	161	11	the	the	DET
ijassa-754	161	12	vector	vector	NOUN
ijassa-754	161	13	w0	w0	PROPN
ijassa-754	161	14	+	+	CCONJ
ijassa-754	161	15	δw	δw	PROPN
ijassa-754	161	16	.	.	PUNCT
ijassa-754	161	17	to	to	PART
ijassa-754	161	18	estimate	estimate	VERB
ijassa-754	161	19	the	the	DET
ijassa-754	161	20	increment	increment	NOUN
ijassa-754	161	21	δw	δw	PROPN
ijassa-754	161	22	,	,	PUNCT
ijassa-754	161	23	the	the	DET
ijassa-754	161	24	following	follow	VERB
ijassa-754	161	25	approximation	approximation	NOUN
ijassa-754	161	26	of	of	ADP
ijassa-754	161	27	f	f	PROPN
ijassa-754	161	28	is	be	AUX
ijassa-754	161	29	used	use	VERB
ijassa-754	161	30	:	:	PUNCT
ijassa-754	161	31	0	0	NUM
ijassa-754	161	32	0	0	NUM
ijassa-754	161	33	(	(	PUNCT
ijassa-754	161	34	,	,	PUNCT
ijassa-754	161	35	)	)	PUNCT
ijassa-754	161	36	(	(	PUNCT
ijassa-754	161	37	,	,	PUNCT
ijassa-754	161	38	)	)	PUNCT
ijassa-754	162	1	*	*	PUNCT
ijassa-754	162	2	f	f	X
ijassa-754	162	3	w	w	PROPN
ijassa-754	162	4	w	w	PROPN
ijassa-754	162	5	x	x	X
ijassa-754	162	6	f	f	PROPN
ijassa-754	162	7	w	w	PROPN
ijassa-754	162	8	x	x	X
ijassa-754	162	9	j	j	PROPN
ijassa-754	162	10	w	w	PROPN
ijassa-754	162	11			PUNCT
ijassa-754	162	12			VERB
ijassa-754	162	13			PRON
ijassa-754	162	14			X
ijassa-754	162	15	(	(	PUNCT
ijassa-754	162	16	3.2	3.2	NUM
ijassa-754	162	17	)	)	PUNCT
ijassa-754	162	18	where	where	SCONJ
ijassa-754	162	19	j	j	PROPN
ijassa-754	162	20	is	be	AUX
ijassa-754	162	21	the	the	DET
ijassa-754	162	22	jacobian	jacobian	PROPN
ijassa-754	162	23	of	of	ADP
ijassa-754	162	24	f.	f.	PROPN
ijassa-754	162	25	the	the	DET
ijassa-754	162	26	increment	increment	NOUN
ijassa-754	162	27	δw	δw	INTJ
ijassa-754	162	28	at	at	ADP
ijassa-754	162	29	the	the	DET
ijassa-754	162	30	minimum	minimum	NOUN
ijassa-754	162	31	of	of	ADP
ijassa-754	162	32	fε	fε	NOUN
ijassa-754	162	33	is	be	AUX
ijassa-754	162	34	zero	zero	NUM
ijassa-754	162	35	.	.	PUNCT
ijassa-754	163	1	so	so	ADV
ijassa-754	163	2	,	,	PUNCT
ijassa-754	163	3	to	to	PART
ijassa-754	163	4	find	find	VERB
ijassa-754	163	5	the	the	DET
ijassa-754	163	6	subsequent	subsequent	ADJ
ijassa-754	163	7	value	value	NOUN
ijassa-754	163	8	of	of	ADP
ijassa-754	163	9	the	the	DET
ijassa-754	163	10	increment	increment	NOUN
ijassa-754	163	11	δw	δw	NOUN
ijassa-754	163	12	,	,	PUNCT
ijassa-754	163	13	it	it	PRON
ijassa-754	163	14	is	be	AUX
ijassa-754	163	15	necessary	necessary	ADJ
ijassa-754	163	16	to	to	PART
ijassa-754	163	17	set	set	VERB
ijassa-754	163	18	the	the	DET
ijassa-754	163	19	vector	vector	NOUN
ijassa-754	163	20	of	of	ADP
ijassa-754	163	21	partial	partial	ADJ
ijassa-754	163	22	derivatives	derivative	NOUN
ijassa-754	163	23	of	of	ADP
ijassa-754	163	24	fε	fε	NOUN
ijassa-754	163	25	over	over	ADP
ijassa-754	163	26	w	w	NOUN
ijassa-754	163	27	to	to	ADP
ijassa-754	163	28	zero	zero	NUM
ijassa-754	163	29	.	.	PUNCT
ijassa-754	164	1	then	then	ADV
ijassa-754	164	2	we	we	PRON
ijassa-754	164	3	differentiate	differentiate	VERB
ijassa-754	164	4	this	this	DET
ijassa-754	164	5	expression	expression	NOUN
ijassa-754	164	6	over	over	ADP
ijassa-754	164	7	w	w	NOUN
ijassa-754	164	8	and	and	CCONJ
ijassa-754	164	9	set	set	VERB
ijassa-754	164	10	the	the	DET
ijassa-754	164	11	partial	partial	ADJ
ijassa-754	164	12	derivative	derivative	NOUN
ijassa-754	164	13	to	to	ADP
ijassa-754	164	14	zero	zero	NUM
ijassa-754	164	15	.	.	PUNCT
ijassa-754	165	1	after	after	ADP
ijassa-754	165	2	all	all	DET
ijassa-754	165	3	transformations	transformation	NOUN
ijassa-754	165	4	,	,	PUNCT
ijassa-754	165	5	we	we	PRON
ijassa-754	165	6	get	get	VERB
ijassa-754	165	7	the	the	DET
ijassa-754	165	8	expression	expression	NOUN
ijassa-754	165	9	for	for	ADP
ijassa-754	165	10	δw	δw	ADJ
ijassa-754	165	11	:	:	PUNCT
ijassa-754	165	12	1	1	NUM
ijassa-754	165	13	(	(	PUNCT
ijassa-754	165	14	*	*	PUNCT
ijassa-754	165	15	)	)	PUNCT
ijassa-754	165	16	*	*	PUNCT
ijassa-754	166	1	*	*	PUNCT
ijassa-754	166	2	(	(	PUNCT
ijassa-754	166	3	(	(	PUNCT
ijassa-754	166	4	)	)	PUNCT
ijassa-754	166	5	)	)	PUNCT
ijassa-754	166	6	t	t	PROPN
ijassa-754	166	7	tw	tw	X
ijassa-754	167	1	j	j	PROPN
ijassa-754	167	2	j	j	PROPN
ijassa-754	167	3	j	j	PROPN
ijassa-754	167	4	y	y	PROPN
ijassa-754	167	5	f	f	PROPN
ijassa-754	167	6	w	w	PROPN
ijassa-754	167	7			PROPN
ijassa-754	167	8			NOUN
ijassa-754	167	9	(	(	PUNCT
ijassa-754	167	10	3.3	3.3	NUM
ijassa-754	167	11	)	)	PUNCT
ijassa-754	167	12	for	for	ADP
ijassa-754	167	13	this	this	DET
ijassa-754	167	14	algorithm	algorithm	NOUN
ijassa-754	167	15	,	,	PUNCT
ijassa-754	167	16	the	the	DET
ijassa-754	167	17	condition	condition	NOUN
ijassa-754	167	18	number	number	NOUN
ijassa-754	167	19	of	of	ADP
ijassa-754	167	20	the	the	DET
ijassa-754	167	21	matrix	matrix	NOUN
ijassa-754	167	22	is	be	AUX
ijassa-754	167	23	important	important	ADJ
ijassa-754	167	24	;	;	PUNCT
ijassa-754	167	25	the	the	DET
ijassa-754	167	26	number	number	NOUN
ijassa-754	167	27	shows	show	VERB
ijassa-754	167	28	how	how	SCONJ
ijassa-754	167	29	close	close	ADJ
ijassa-754	167	30	the	the	DET
ijassa-754	167	31	matrix	matrix	NOUN
ijassa-754	167	32	is	be	AUX
ijassa-754	167	33	to	to	ADP
ijassa-754	167	34	the	the	DET
ijassa-754	167	35	partial	partial	ADJ
ijassa-754	167	36	rank	rank	NOUN
ijassa-754	167	37	matrix	matrix	NOUN
ijassa-754	167	38	(	(	PUNCT
ijassa-754	167	39	for	for	ADP
ijassa-754	167	40	square	square	ADJ
ijassa-754	167	41	matrices	matrix	NOUN
ijassa-754	167	42	it	it	PRON
ijassa-754	167	43	shows	show	VERB
ijassa-754	167	44	how	how	SCONJ
ijassa-754	167	45	close	close	ADJ
ijassa-754	167	46	the	the	DET
ijassa-754	167	47	matrix	matrix	NOUN
ijassa-754	167	48	is	be	AUX
ijassa-754	167	49	to	to	ADP
ijassa-754	167	50	degeneracy	degeneracy	NOUN
ijassa-754	167	51	)	)	PUNCT
ijassa-754	167	52	.	.	PUNCT
ijassa-754	168	1	since	since	SCONJ
ijassa-754	168	2	the	the	DET
ijassa-754	168	3	condition	condition	NOUN
ijassa-754	168	4	number	number	NOUN
ijassa-754	168	5	of	of	ADP
ijassa-754	168	6	the	the	DET
ijassa-754	168	7	matrix	matrix	NOUN
ijassa-754	168	8	jt*j	jt*j	NOUN
ijassa-754	168	9	is	be	AUX
ijassa-754	168	10	equal	equal	ADJ
ijassa-754	168	11	to	to	ADP
ijassa-754	168	12	the	the	DET
ijassa-754	168	13	squared	square	VERB
ijassa-754	168	14	condition	condition	NOUN
ijassa-754	168	15	number	number	NOUN
ijassa-754	168	16	of	of	ADP
ijassa-754	168	17	the	the	DET
ijassa-754	168	18	matrix	matrix	NOUN
ijassa-754	168	19	j	j	PROPN
ijassa-754	168	20	,	,	PUNCT
ijassa-754	168	21	the	the	DET
ijassa-754	168	22	matrix	matrix	NOUN
ijassa-754	168	23	jt*j	jt*j	NOUN
ijassa-754	168	24	may	may	AUX
ijassa-754	168	25	turn	turn	VERB
ijassa-754	168	26	out	out	ADP
ijassa-754	168	27	to	to	PART
ijassa-754	168	28	be	be	AUX
ijassa-754	168	29	degenerate	degenerate	ADJ
ijassa-754	168	30	.	.	PUNCT
ijassa-754	169	1	for	for	ADP
ijassa-754	169	2	this	this	DET
ijassa-754	169	3	reason	reason	NOUN
ijassa-754	169	4	,	,	PUNCT
ijassa-754	169	5	in	in	ADP
ijassa-754	169	6	this	this	DET
ijassa-754	169	7	algorithm	algorithm	NOUN
ijassa-754	169	8	we	we	PRON
ijassa-754	169	9	introduced	introduce	VERB
ijassa-754	169	10	a	a	DET
ijassa-754	169	11	regularization	regularization	NOUN
ijassa-754	169	12	parameter	parameter	NOUN
ijassa-754	169	13	λ	λ	PROPN
ijassa-754	169	14	;	;	PUNCT
ijassa-754	169	15	the	the	DET
ijassa-754	169	16	parameter	parameter	NOUN
ijassa-754	169	17	is	be	AUX
ijassa-754	169	18	greater	great	ADJ
ijassa-754	169	19	than	than	ADP
ijassa-754	169	20	or	or	CCONJ
ijassa-754	169	21	equal	equal	ADJ
ijassa-754	169	22	to	to	ADP
ijassa-754	169	23	zero	zero	NUM
ijassa-754	169	24	.	.	PUNCT
ijassa-754	170	1	this	this	DET
ijassa-754	170	2	parameter	parameter	NOUN
ijassa-754	170	3	is	be	AUX
ijassa-754	170	4	selected	select	VERB
ijassa-754	170	5	on	on	ADP
ijassa-754	170	6	each	each	DET
ijassa-754	170	7	iteration	iteration	NOUN
ijassa-754	170	8	of	of	ADP
ijassa-754	170	9	the	the	DET
ijassa-754	170	10	algorithm	algorithm	NOUN
ijassa-754	170	11	.	.	PUNCT
ijassa-754	171	1	given	give	VERB
ijassa-754	171	2	the	the	DET
ijassa-754	171	3	regularization	regularization	NOUN
ijassa-754	171	4	parameter	parameter	NOUN
ijassa-754	171	5	,	,	PUNCT
ijassa-754	171	6	expression	expression	NOUN
ijassa-754	171	7	for	for	ADP
ijassa-754	171	8	δw	δw	NOUN
ijassa-754	171	9	takes	take	VERB
ijassa-754	171	10	the	the	DET
ijassa-754	171	11	following	follow	VERB
ijassa-754	171	12	form	form	NOUN
ijassa-754	171	13	:	:	PUNCT
ijassa-754	171	14	1	1	NUM
ijassa-754	171	15	(	(	PUNCT
ijassa-754	171	16	*	*	PUNCT
ijassa-754	171	17	*	*	PUNCT
ijassa-754	171	18	)	)	PUNCT
ijassa-754	172	1	*	*	PUNCT
ijassa-754	173	1	*	*	PUNCT
ijassa-754	173	2	(	(	PUNCT
ijassa-754	173	3	(	(	PUNCT
ijassa-754	173	4	)	)	PUNCT
ijassa-754	173	5	)	)	PUNCT
ijassa-754	173	6	t	t	PROPN
ijassa-754	173	7	tw	tw	X
ijassa-754	173	8	j	j	PROPN
ijassa-754	173	9	j	j	PROPN
ijassa-754	173	10	e	e	PROPN
ijassa-754	173	11	j	j	PROPN
ijassa-754	173	12	y	y	PROPN
ijassa-754	173	13	f	f	PROPN
ijassa-754	173	14	w	w	PROPN
ijassa-754	173	15			PROPN
ijassa-754	173	16			PRON
ijassa-754	173	17			ADJ
ijassa-754	173	18			X
ijassa-754	173	19	(	(	PUNCT
ijassa-754	173	20	3.4	3.4	NUM
ijassa-754	173	21	)	)	PUNCT
ijassa-754	173	22	where	where	SCONJ
ijassa-754	173	23	e	e	NOUN
ijassa-754	173	24	is	be	AUX
ijassa-754	173	25	a	a	DET
ijassa-754	173	26	unity	unity	NOUN
ijassa-754	173	27	matrix	matrix	NOUN
ijassa-754	173	28	.	.	PUNCT
ijassa-754	174	1	there	there	PRON
ijassa-754	174	2	is	be	VERB
ijassa-754	174	3	a	a	DET
ijassa-754	174	4	modification	modification	NOUN
ijassa-754	174	5	of	of	ADP
ijassa-754	174	6	this	this	DET
ijassa-754	174	7	method	method	NOUN
ijassa-754	174	8	,	,	PUNCT
ijassa-754	174	9	where	where	SCONJ
ijassa-754	174	10	the	the	DET
ijassa-754	174	11	regularization	regularization	NOUN
ijassa-754	174	12	parameter	parameter	NOUN
ijassa-754	174	13	is	be	AUX
ijassa-754	174	14	multiplied	multiply	VERB
ijassa-754	174	15	by	by	ADP
ijassa-754	174	16	the	the	DET
ijassa-754	174	17	matrix	matrix	NOUN
ijassa-754	174	18	d	d	NOUN
ijassa-754	174	19	,	,	PUNCT
ijassa-754	174	20	a	a	DET
ijassa-754	174	21	diagonal	diagonal	ADJ
ijassa-754	174	22	matrix	matrix	NOUN
ijassa-754	174	23	with	with	ADP
ijassa-754	174	24	the	the	DET
ijassa-754	174	25	elements	element	NOUN
ijassa-754	174	26	that	that	PRON
ijassa-754	174	27	coincide	coincide	VERB
ijassa-754	174	28	with	with	ADP
ijassa-754	174	29	the	the	DET
ijassa-754	174	30	diagonal	diagonal	ADJ
ijassa-754	174	31	elements	element	NOUN
ijassa-754	174	32	of	of	ADP
ijassa-754	174	33	the	the	DET
ijassa-754	174	34	matrix	matrix	NOUN
ijassa-754	174	35	jt*j	jt*j	NOUN
ijassa-754	174	36	.	.	PUNCT
ijassa-754	175	1	this	this	DET
ijassa-754	175	2	approach	approach	NOUN
ijassa-754	175	3	is	be	AUX
ijassa-754	175	4	used	use	VERB
ijassa-754	175	5	to	to	PART
ijassa-754	175	6	reduce	reduce	VERB
ijassa-754	175	7	the	the	DET
ijassa-754	175	8	effect	effect	NOUN
ijassa-754	175	9	of	of	ADP
ijassa-754	175	10	the	the	DET
ijassa-754	175	11	regularization	regularization	NOUN
ijassa-754	175	12	parameter	parameter	NOUN
ijassa-754	175	13	on	on	ADP
ijassa-754	175	14	the	the	DET
ijassa-754	175	15	δw	δw	ADJ
ijassa-754	175	16	value	value	NOUN
ijassa-754	175	17	.	.	PUNCT
ijassa-754	176	1	it	it	PRON
ijassa-754	176	2	is	be	AUX
ijassa-754	176	3	necessary	necessary	ADJ
ijassa-754	176	4	,	,	PUNCT
ijassa-754	176	5	however	however	ADV
ijassa-754	176	6	,	,	PUNCT
ijassa-754	176	7	to	to	PART
ijassa-754	176	8	note	note	VERB
ijassa-754	176	9	that	that	SCONJ
ijassa-754	176	10	this	this	DET
ijassa-754	176	11	algorithm	algorithm	NOUN
ijassa-754	176	12	converges	converge	VERB
ijassa-754	176	13	slower	slow	ADJ
ijassa-754	176	14	if	if	SCONJ
ijassa-754	176	15	the	the	DET
ijassa-754	176	16	step	step	NOUN
ijassa-754	176	17	is	be	AUX
ijassa-754	176	18	constant	constant	ADJ
ijassa-754	176	19	,	,	PUNCT
ijassa-754	176	20	which	which	PRON
ijassa-754	176	21	is	be	AUX
ijassa-754	176	22	a	a	DET
ijassa-754	176	23	disadvantage	disadvantage	NOUN
ijassa-754	176	24	.	.	PUNCT
ijassa-754	177	1	the	the	DET
ijassa-754	177	2	problem	problem	NOUN
ijassa-754	177	3	is	be	AUX
ijassa-754	177	4	solved	solve	VERB
ijassa-754	177	5	by	by	ADP
ijassa-754	177	6	introducing	introduce	VERB
ijassa-754	177	7	a	a	DET
ijassa-754	177	8	coefficient	coefficient	NOUN
ijassa-754	177	9	k	k	NOUN
ijassa-754	177	10	;	;	PUNCT
ijassa-754	177	11	the	the	DET
ijassa-754	177	12	coefficient	coefficient	NOUN
ijassa-754	177	13	determines	determine	VERB
ijassa-754	177	14	the	the	DET
ijassa-754	177	15	step	step	NOUN
ijassa-754	177	16	length	length	NOUN
ijassa-754	177	17	and	and	CCONJ
ijassa-754	177	18	makes	make	VERB
ijassa-754	177	19	the	the	DET
ijassa-754	177	20	method	method	NOUN
ijassa-754	177	21	converge	converge	VERB
ijassa-754	177	22	faster	fast	ADV
ijassa-754	177	23	.	.	PUNCT
ijassa-754	178	1	given	give	VERB
ijassa-754	178	2	the	the	DET
ijassa-754	178	3	two	two	NUM
ijassa-754	178	4	amendments	amendment	NOUN
ijassa-754	178	5	described	describe	VERB
ijassa-754	178	6	,	,	PUNCT
ijassa-754	178	7	the	the	DET
ijassa-754	178	8	expression	expression	NOUN
ijassa-754	178	9	for	for	ADP
ijassa-754	178	10	δw	δw	NOUN
ijassa-754	178	11	takes	take	VERB
ijassa-754	178	12	the	the	DET
ijassa-754	178	13	following	follow	VERB
ijassa-754	178	14	form	form	NOUN
ijassa-754	178	15	:	:	PUNCT
ijassa-754	178	16	1	1	NUM
ijassa-754	178	17	*	*	PUNCT
ijassa-754	178	18	(	(	PUNCT
ijassa-754	178	19	*	*	PUNCT
ijassa-754	178	20	*	*	PUNCT
ijassa-754	178	21	)	)	PUNCT
ijassa-754	179	1	*	*	PUNCT
ijassa-754	180	1	*	*	PUNCT
ijassa-754	180	2	(	(	PUNCT
ijassa-754	180	3	(	(	PUNCT
ijassa-754	180	4	)	)	PUNCT
ijassa-754	180	5	)	)	PUNCT
ijassa-754	180	6	t	t	PROPN
ijassa-754	180	7	tw	tw	X
ijassa-754	181	1	k	k	PROPN
ijassa-754	181	2	j	j	PROPN
ijassa-754	182	1	j	j	PROPN
ijassa-754	182	2	d	d	X
ijassa-754	182	3	j	j	PROPN
ijassa-754	182	4	y	y	PROPN
ijassa-754	182	5	f	f	PROPN
ijassa-754	182	6	w	w	PROPN
ijassa-754	182	7			PROPN
ijassa-754	182	8			PRON
ijassa-754	182	9			ADJ
ijassa-754	182	10			X
ijassa-754	182	11	(	(	PUNCT
ijassa-754	182	12	3.5	3.5	NUM
ijassa-754	182	13	)	)	PUNCT
ijassa-754	182	14	the	the	DET
ijassa-754	182	15	value	value	NOUN
ijassa-754	182	16	of	of	ADP
ijassa-754	182	17	the	the	DET
ijassa-754	182	18	vector	vector	NOUN
ijassa-754	182	19	w	w	NOUN
ijassa-754	182	20	at	at	ADP
ijassa-754	182	21	the	the	DET
ijassa-754	182	22	last	last	ADJ
ijassa-754	182	23	iteration	iteration	NOUN
ijassa-754	182	24	of	of	ADP
ijassa-754	182	25	the	the	DET
ijassa-754	182	26	algorithm	algorithm	NOUN
ijassa-754	182	27	is	be	AUX
ijassa-754	182	28	the	the	DET
ijassa-754	182	29	target	target	NOUN
ijassa-754	182	30	.	.	PUNCT
ijassa-754	183	1	it	it	PRON
ijassa-754	183	2	is	be	AUX
ijassa-754	183	3	reached	reach	VERB
ijassa-754	183	4	either	either	CCONJ
ijassa-754	183	5	if	if	SCONJ
ijassa-754	183	6	the	the	DET
ijassa-754	183	7	calculated	calculate	VERB
ijassa-754	183	8	increment	increment	NOUN
ijassa-754	183	9	δw	δw	VERB
ijassa-754	183	10	is	be	AUX
ijassa-754	183	11	less	less	ADJ
ijassa-754	183	12	than	than	ADP
ijassa-754	183	13	the	the	DET
ijassa-754	183	14	specified	specify	VERB
ijassa-754	183	15	value	value	NOUN
ijassa-754	183	16	,	,	PUNCT
ijassa-754	183	17	or	or	CCONJ
ijassa-754	183	18	if	if	SCONJ
ijassa-754	183	19	the	the	DET
ijassa-754	183	20	error	error	NOUN
ijassa-754	183	21	function	function	NOUN
ijassa-754	183	22	fε	fε	NOUN
ijassa-754	183	23	is	be	AUX
ijassa-754	183	24	less	less	ADJ
ijassa-754	183	25	than	than	ADP
ijassa-754	183	26	the	the	DET
ijassa-754	183	27	specified	specify	VERB
ijassa-754	183	28	value	value	NOUN
ijassa-754	183	29	for	for	ADP
ijassa-754	183	30	the	the	DET
ijassa-754	183	31	vector	vector	NOUN
ijassa-754	183	32	w.	w.	NOUN
ijassa-754	183	33	the	the	DET
ijassa-754	183	34	architecture	architecture	NOUN
ijassa-754	183	35	of	of	ADP
ijassa-754	183	36	the	the	DET
ijassa-754	183	37	neural	neural	ADJ
ijassa-754	183	38	network	network	NOUN
ijassa-754	183	39	model	model	NOUN
ijassa-754	183	40	is	be	AUX
ijassa-754	183	41	shown	show	VERB
ijassa-754	183	42	in	in	ADP
ijassa-754	183	43	fig	fig	NOUN
ijassa-754	183	44	.	.	PUNCT
ijassa-754	184	1	3.4	3.4	NUM
ijassa-754	184	2	.	.	PUNCT
ijassa-754	185	1	the	the	DET
ijassa-754	185	2	number	number	NOUN
ijassa-754	185	3	of	of	ADP
ijassa-754	185	4	neurons	neuron	NOUN
ijassa-754	185	5	in	in	ADP
ijassa-754	185	6	the	the	DET
ijassa-754	185	7	input	input	NOUN
ijassa-754	185	8	layer	layer	NOUN
ijassa-754	185	9	is	be	AUX
ijassa-754	185	10	n	n	NOUN
ijassa-754	185	11	=	=	SYM
ijassa-754	185	12	3	3	NUM
ijassa-754	185	13	for	for	ADP
ijassa-754	185	14	the	the	DET
ijassa-754	185	15	case	case	NOUN
ijassa-754	185	16	when	when	SCONJ
ijassa-754	185	17	the	the	DET
ijassa-754	185	18	vector	vector	NOUN
ijassa-754	185	19	of	of	ADP
ijassa-754	185	20	input	input	NOUN
ijassa-754	185	21	parameters	parameter	NOUN
ijassa-754	185	22	contains	contain	VERB
ijassa-754	185	23	carbon	carbon	NOUN
ijassa-754	185	24	dioxide	dioxide	NOUN
ijassa-754	185	25	molar	molar	ADJ
ijassa-754	185	26	fraction	fraction	NOUN
ijassa-754	185	27	,	,	PUNCT
ijassa-754	185	28	sound	sound	ADJ
ijassa-754	185	29	velocity	velocity	NOUN
ijassa-754	185	30	,	,	PUNCT
ijassa-754	185	31	and	and	CCONJ
ijassa-754	185	32	thermal	thermal	ADJ
ijassa-754	185	33	conductivity	conductivity	NOUN
ijassa-754	185	34	.	.	PUNCT
ijassa-754	186	1	the	the	DET
ijassa-754	186	2	number	number	NOUN
ijassa-754	186	3	of	of	ADP
ijassa-754	186	4	neurons	neuron	NOUN
ijassa-754	186	5	in	in	ADP
ijassa-754	186	6	the	the	DET
ijassa-754	186	7	hidden	hide	VERB
ijassa-754	186	8	layer	layer	NOUN
ijassa-754	186	9	of	of	ADP
ijassa-754	186	10	our	our	PRON
ijassa-754	186	11	model	model	NOUN
ijassa-754	186	12	is	be	AUX
ijassa-754	186	13	11	11	NUM
ijassa-754	186	14	;	;	PUNCT
ijassa-754	186	15	to	to	PART
ijassa-754	186	16	get	get	VERB
ijassa-754	186	17	this	this	DET
ijassa-754	186	18	number	number	NOUN
ijassa-754	186	19	,	,	PUNCT
ijassa-754	186	20	many	many	ADJ
ijassa-754	186	21	different	different	ADJ
ijassa-754	186	22	models	model	NOUN
ijassa-754	186	23	were	be	AUX
ijassa-754	186	24	analyzed	analyze	VERB
ijassa-754	186	25	.	.	PUNCT
ijassa-754	187	1	the	the	DET
ijassa-754	187	2	number	number	NOUN
ijassa-754	187	3	of	of	ADP
ijassa-754	187	4	neurons	neuron	NOUN
ijassa-754	187	5	in	in	ADP
ijassa-754	187	6	the	the	DET
ijassa-754	187	7	output	output	NOUN
ijassa-754	187	8	layer	layer	NOUN
ijassa-754	187	9	is	be	AUX
ijassa-754	187	10	m	m	VERB
ijassa-754	187	11	=	=	NOUN
ijassa-754	187	12	4	4	NUM
ijassa-754	187	13	for	for	ADP
ijassa-754	187	14	the	the	DET
ijassa-754	187	15	case	case	NOUN
ijassa-754	187	16	of	of	ADP
ijassa-754	187	17	a	a	DET
ijassa-754	187	18	five	five	NUM
ijassa-754	187	19	-	-	PUNCT
ijassa-754	187	20	component	component	NOUN
ijassa-754	187	21	gas	gas	NOUN
ijassa-754	187	22	mixture	mixture	NOUN
ijassa-754	187	23	.	.	PUNCT
ijassa-754	188	1	distributed	distribute	VERB
ijassa-754	188	2	data	datum	NOUN
ijassa-754	188	3	gathering	gathering	NOUN
ijassa-754	188	4	system	system	NOUN
ijassa-754	188	5	to	to	PART
ijassa-754	188	6	analyze	analyze	VERB
ijassa-754	188	7	natural	natural	ADJ
ijassa-754	188	8	gas	gas	NOUN
ijassa-754	188	9	composition	composition	NOUN
ijassa-754	188	10	21	21	NUM
ijassa-754	188	11	copyright	copyright	NOUN
ijassa-754	188	12	©	©	PROPN
ijassa-754	188	13	2019	2019	NUM
ijassa-754	188	14	assa	assa	NOUN
ijassa-754	188	15	.	.	PUNCT
ijassa-754	189	1	adv	adv	PROPN
ijassa-754	189	2	.	.	PUNCT
ijassa-754	190	1	in	in	ADP
ijassa-754	190	2	systems	system	NOUN
ijassa-754	190	3	science	science	NOUN
ijassa-754	190	4	and	and	CCONJ
ijassa-754	190	5	appl	appl	NOUN
ijassa-754	190	6	.	.	PUNCT
ijassa-754	191	1	(	(	PUNCT
ijassa-754	191	2	2019	2019	NUM
ijassa-754	191	3	)	)	PUNCT
ijassa-754	191	4	fig	fig	NOUN
ijassa-754	191	5	.	.	PUNCT
ijassa-754	192	1	3.4	3.4	NUM
ijassa-754	192	2	.	.	PUNCT
ijassa-754	193	1	the	the	DET
ijassa-754	193	2	architecture	architecture	NOUN
ijassa-754	193	3	of	of	ADP
ijassa-754	193	4	the	the	DET
ijassa-754	193	5	proposed	propose	VERB
ijassa-754	193	6	neural	neural	ADJ
ijassa-754	193	7	network	network	NOUN
ijassa-754	193	8	model	model	NOUN
ijassa-754	193	9	the	the	DET
ijassa-754	193	10	next	next	ADJ
ijassa-754	193	11	step	step	NOUN
ijassa-754	193	12	is	be	AUX
ijassa-754	193	13	to	to	PART
ijassa-754	193	14	train	train	VERB
ijassa-754	193	15	the	the	DET
ijassa-754	193	16	network	network	NOUN
ijassa-754	193	17	on	on	ADP
ijassa-754	193	18	the	the	DET
ijassa-754	193	19	previously	previously	ADV
ijassa-754	193	20	obtained	obtain	VERB
ijassa-754	193	21	data	datum	NOUN
ijassa-754	193	22	using	use	VERB
ijassa-754	193	23	the	the	DET
ijassa-754	193	24	levenbergmarquardt	levenbergmarquardt	ADJ
ijassa-754	193	25	algorithm	algorithm	NOUN
ijassa-754	193	26	.	.	PUNCT
ijassa-754	194	1	before	before	SCONJ
ijassa-754	194	2	that	that	SCONJ
ijassa-754	194	3	it	it	PRON
ijassa-754	194	4	is	be	AUX
ijassa-754	194	5	necessary	necessary	ADJ
ijassa-754	194	6	to	to	PART
ijassa-754	194	7	set	set	VERB
ijassa-754	194	8	the	the	DET
ijassa-754	194	9	stopping	stopping	NOUN
ijassa-754	194	10	criteria	criterion	NOUN
ijassa-754	194	11	;	;	PUNCT
ijassa-754	194	12	for	for	ADP
ijassa-754	194	13	example	example	NOUN
ijassa-754	194	14	,	,	PUNCT
ijassa-754	194	15	the	the	DET
ijassa-754	194	16	criteria	criterion	NOUN
ijassa-754	194	17	can	can	AUX
ijassa-754	194	18	be	be	AUX
ijassa-754	194	19	the	the	DET
ijassa-754	194	20	maximum	maximum	ADJ
ijassa-754	194	21	deviation	deviation	NOUN
ijassa-754	194	22	value	value	NOUN
ijassa-754	194	23	,	,	PUNCT
ijassa-754	194	24	when	when	SCONJ
ijassa-754	194	25	training	training	NOUN
ijassa-754	194	26	is	be	AUX
ijassa-754	194	27	considered	consider	VERB
ijassa-754	194	28	complete	complete	ADJ
ijassa-754	194	29	.	.	PUNCT
ijassa-754	195	1	in	in	ADP
ijassa-754	195	2	our	our	PRON
ijassa-754	195	3	case	case	NOUN
ijassa-754	195	4	,	,	PUNCT
ijassa-754	195	5	to	to	PART
ijassa-754	195	6	estimate	estimate	VERB
ijassa-754	195	7	the	the	DET
ijassa-754	195	8	value	value	NOUN
ijassa-754	195	9	,	,	PUNCT
ijassa-754	195	10	the	the	DET
ijassa-754	195	11	sum	sum	NOUN
ijassa-754	195	12	of	of	ADP
ijassa-754	195	13	the	the	DET
ijassa-754	195	14	squared	square	VERB
ijassa-754	195	15	deviations	deviation	NOUN
ijassa-754	195	16	of	of	ADP
ijassa-754	195	17	the	the	DET
ijassa-754	195	18	network	network	NOUN
ijassa-754	195	19	outputs	output	NOUN
ijassa-754	195	20	from	from	ADP
ijassa-754	195	21	the	the	DET
ijassa-754	195	22	true	true	ADJ
ijassa-754	195	23	values	value	NOUN
ijassa-754	195	24	is	be	AUX
ijassa-754	195	25	calculated	calculate	VERB
ijassa-754	195	26	.	.	PUNCT
ijassa-754	196	1	also	also	ADV
ijassa-754	196	2	,	,	PUNCT
ijassa-754	196	3	when	when	SCONJ
ijassa-754	196	4	training	train	VERB
ijassa-754	196	5	the	the	DET
ijassa-754	196	6	model	model	NOUN
ijassa-754	196	7	,	,	PUNCT
ijassa-754	196	8	the	the	DET
ijassa-754	196	9	maximum	maximum	ADJ
ijassa-754	196	10	number	number	NOUN
ijassa-754	196	11	of	of	ADP
ijassa-754	196	12	training	training	NOUN
ijassa-754	196	13	cycles	cycle	NOUN
ijassa-754	196	14	may	may	AUX
ijassa-754	196	15	be	be	AUX
ijassa-754	196	16	selected	select	VERB
ijassa-754	196	17	as	as	ADP
ijassa-754	196	18	the	the	DET
ijassa-754	196	19	stopping	stopping	NOUN
ijassa-754	196	20	criteria	criterion	NOUN
ijassa-754	196	21	.	.	PUNCT
ijassa-754	197	1	however	however	ADV
ijassa-754	197	2	,	,	PUNCT
ijassa-754	197	3	as	as	SCONJ
ijassa-754	197	4	can	can	AUX
ijassa-754	197	5	be	be	AUX
ijassa-754	197	6	seen	see	VERB
ijassa-754	197	7	from	from	ADP
ijassa-754	197	8	fig	fig	NOUN
ijassa-754	197	9	.	.	PUNCT
ijassa-754	198	1	3.5	3.5	NUM
ijassa-754	198	2	,	,	PUNCT
ijassa-754	198	3	this	this	DET
ijassa-754	198	4	choice	choice	NOUN
ijassa-754	198	5	makes	make	VERB
ijassa-754	198	6	the	the	DET
ijassa-754	198	7	network	network	NOUN
ijassa-754	198	8	longer	long	ADV
ijassa-754	198	9	to	to	PART
ijassa-754	198	10	train	train	VERB
ijassa-754	198	11	.	.	PUNCT
ijassa-754	199	1	fig	fig	NOUN
ijassa-754	199	2	.	.	PUNCT
ijassa-754	200	1	3.5	3.5	NUM
ijassa-754	200	2	.	.	PUNCT
ijassa-754	200	3	cases	case	NOUN
ijassa-754	200	4	of	of	ADP
ijassa-754	200	5	training	train	VERB
ijassa-754	200	6	completion	completion	NOUN
ijassa-754	200	7	for	for	ADP
ijassa-754	200	8	the	the	DET
ijassa-754	200	9	developed	develop	VERB
ijassa-754	200	10	neural	neural	ADJ
ijassa-754	200	11	network	network	NOUN
ijassa-754	200	12	model	model	NOUN
ijassa-754	200	13	after	after	ADP
ijassa-754	200	14	successful	successful	ADJ
ijassa-754	200	15	training	training	NOUN
ijassa-754	200	16	of	of	ADP
ijassa-754	200	17	the	the	DET
ijassa-754	200	18	network	network	NOUN
ijassa-754	200	19	,	,	PUNCT
ijassa-754	200	20	the	the	DET
ijassa-754	200	21	network	network	NOUN
ijassa-754	200	22	is	be	AUX
ijassa-754	200	23	tested	test	VERB
ijassa-754	200	24	on	on	ADP
ijassa-754	200	25	the	the	DET
ijassa-754	200	26	data	datum	NOUN
ijassa-754	200	27	,	,	PUNCT
ijassa-754	200	28	that	that	PRON
ijassa-754	200	29	were	be	AUX
ijassa-754	200	30	not	not	PART
ijassa-754	200	31	in	in	ADP
ijassa-754	200	32	the	the	DET
ijassa-754	200	33	training	training	NOUN
ijassa-754	200	34	set	set	NOUN
ijassa-754	200	35	.	.	PUNCT
ijassa-754	201	1	then	then	ADV
ijassa-754	201	2	,	,	PUNCT
ijassa-754	201	3	to	to	PART
ijassa-754	201	4	assess	assess	VERB
ijassa-754	201	5	the	the	DET
ijassa-754	201	6	model	model	NOUN
ijassa-754	201	7	accuracy	accuracy	NOUN
ijassa-754	201	8	,	,	PUNCT
ijassa-754	201	9	the	the	DET
ijassa-754	201	10	following	follow	VERB
ijassa-754	201	11	accuracy	accuracy	NOUN
ijassa-754	201	12	parameters	parameter	NOUN
ijassa-754	201	13	are	be	AUX
ijassa-754	201	14	calculated	calculate	VERB
ijassa-754	201	15	:	:	PUNCT
ijassa-754	201	16	22	22	NUM
ijassa-754	201	17	i.	i.	PROPN
ijassa-754	201	18	brokarev	brokarev	PROPN
ijassa-754	201	19	,	,	PUNCT
ijassa-754	201	20	s.	s.	PROPN
ijassa-754	201	21	vaskovskii	vaskovskii	PROPN
ijassa-754	201	22	copyright	copyright	NOUN
ijassa-754	201	23	©	©	PROPN
ijassa-754	201	24	2019	2019	NUM
ijassa-754	201	25	assa	assa	PROPN
ijassa-754	201	26	adv	adv	PROPN
ijassa-754	201	27	.	.	PUNCT
ijassa-754	202	1	in	in	ADP
ijassa-754	202	2	systems	system	NOUN
ijassa-754	202	3	science	science	NOUN
ijassa-754	202	4	and	and	CCONJ
ijassa-754	202	5	appl	appl	NOUN
ijassa-754	202	6	.	.	PUNCT
ijassa-754	203	1	(	(	PUNCT
ijassa-754	203	2	2019	2019	NUM
ijassa-754	203	3	)	)	PUNCT
ijassa-754	203	4	•	•	NUM
ijassa-754	203	5	maximum	maximum	ADJ
ijassa-754	203	6	absolute	absolute	ADJ
ijassa-754	203	7	error	error	NOUN
ijassa-754	203	8	;	;	PUNCT
ijassa-754	203	9	rgmax[|	rgmax[|	PROPN
ijassa-754	203	10	|]out	|]out	PROPN
ijassa-754	203	11	ta	ta	PROPN
ijassa-754	203	12	ety	ety	PROPN
ijassa-754	203	13	y	y	PROPN
ijassa-754	203	14	y	y	ADV
ijassa-754	203	15			PROPN
ijassa-754	203	16			NOUN
ijassa-754	203	17	(	(	PUNCT
ijassa-754	203	18	3.6	3.6	NUM
ijassa-754	203	19	)	)	PUNCT
ijassa-754	203	20	where	where	SCONJ
ijassa-754	203	21	yout	yout	NOUN
ijassa-754	203	22	are	be	AUX
ijassa-754	203	23	the	the	DET
ijassa-754	203	24	values	value	NOUN
ijassa-754	203	25	of	of	ADP
ijassa-754	203	26	the	the	DET
ijassa-754	203	27	neural	neural	ADJ
ijassa-754	203	28	network	network	NOUN
ijassa-754	203	29	output	output	NOUN
ijassa-754	203	30	,	,	PUNCT
ijassa-754	203	31	ytarget	ytarget	NOUN
ijassa-754	203	32	are	be	AUX
ijassa-754	203	33	target	target	NOUN
ijassa-754	203	34	parameter	parameter	NOUN
ijassa-754	203	35	values	value	NOUN
ijassa-754	203	36	.	.	PUNCT
ijassa-754	204	1	•	•	NUM
ijassa-754	204	2	mean	mean	VERB
ijassa-754	204	3	absolute	absolute	ADJ
ijassa-754	204	4	error	error	NOUN
ijassa-754	204	5	;	;	PUNCT
ijassa-754	204	6	rg[|	rg[|	NOUN
ijassa-754	204	7	|]out	|]out	ADP
ijassa-754	204	8	ta	ta	PROPN
ijassa-754	204	9	ety	ety	PROPN
ijassa-754	204	10	avg	avg	PROPN
ijassa-754	204	11	y	y	PROPN
ijassa-754	204	12	y	y	ADV
ijassa-754	204	13			PROPN
ijassa-754	204	14			NOUN
ijassa-754	204	15	(	(	PUNCT
ijassa-754	204	16	3.7	3.7	NUM
ijassa-754	204	17	)	)	PUNCT
ijassa-754	204	18	•	•	NUM
ijassa-754	204	19	maximum	maximum	ADJ
ijassa-754	204	20	relative	relative	ADJ
ijassa-754	204	21	error	error	NOUN
ijassa-754	204	22	(	(	PUNCT
ijassa-754	204	23	in	in	ADP
ijassa-754	204	24	%	%	NOUN
ijassa-754	204	25	)	)	PUNCT
ijassa-754	204	26	;	;	PUNCT
ijassa-754	204	27	rg	rg	PROPN
ijassa-754	204	28	rg	rg	PROPN
ijassa-754	205	1	|	|	ADV
ijassa-754	205	2	|	|	ADV
ijassa-754	205	3	max	max	PROPN
ijassa-754	205	4	[	[	X
ijassa-754	205	5	]	]	X
ijassa-754	205	6	out	out	ADP
ijassa-754	205	7	ta	ta	ADP
ijassa-754	205	8	et	et	NOUN
ijassa-754	205	9	y	y	PROPN
ijassa-754	205	10	ta	ta	PROPN
ijassa-754	205	11	et	et	PROPN
ijassa-754	205	12	y	y	PROPN
ijassa-754	205	13	y	y	PROPN
ijassa-754	205	14	y	y	PROPN
ijassa-754	206	1			NUM
ijassa-754	206	2			PROPN
ijassa-754	206	3			NUM
ijassa-754	206	4	(	(	PUNCT
ijassa-754	206	5	3.8	3.8	NUM
ijassa-754	206	6	)	)	PUNCT
ijassa-754	206	7	•	•	NUM
ijassa-754	206	8	average	average	ADJ
ijassa-754	206	9	relative	relative	ADJ
ijassa-754	206	10	error	error	NOUN
ijassa-754	206	11	(	(	PUNCT
ijassa-754	206	12	in	in	ADP
ijassa-754	206	13	%	%	NOUN
ijassa-754	206	14	)	)	PUNCT
ijassa-754	206	15	;	;	PUNCT
ijassa-754	206	16	rg	rg	PROPN
ijassa-754	206	17	rg	rg	PROPN
ijassa-754	207	1	|	|	ADV
ijassa-754	207	2	|	|	ADV
ijassa-754	207	3	[	[	PUNCT
ijassa-754	207	4	]	]	X
ijassa-754	207	5	out	out	ADP
ijassa-754	207	6	ta	ta	ADP
ijassa-754	207	7	et	et	NOUN
ijassa-754	207	8	y	y	PROPN
ijassa-754	207	9	ta	ta	PROPN
ijassa-754	207	10	et	et	PROPN
ijassa-754	207	11	y	y	PROPN
ijassa-754	207	12	y	y	PROPN
ijassa-754	207	13	avg	avg	PROPN
ijassa-754	207	14	y	y	PROPN
ijassa-754	208	1			NUM
ijassa-754	208	2			PROPN
ijassa-754	208	3			NUM
ijassa-754	208	4	(	(	PUNCT
ijassa-754	208	5	3.9	3.9	NUM
ijassa-754	208	6	)	)	PUNCT
ijassa-754	208	7	•	•	NOUN
ijassa-754	208	8	standard	standard	ADJ
ijassa-754	208	9	deviation	deviation	NOUN
ijassa-754	208	10	;	;	PUNCT
ijassa-754	208	11	2	2	NUM
ijassa-754	208	12	rg	rg	NOUN
ijassa-754	208	13	1	1	NUM
ijassa-754	208	14	(	(	PUNCT
ijassa-754	208	15	)	)	PUNCT
ijassa-754	208	16	n	n	CCONJ
ijassa-754	208	17	out	out	ADP
ijassa-754	208	18	ta	ta	ADP
ijassa-754	208	19	et	et	NOUN
ijassa-754	209	1	i	i	NOUN
ijassa-754	209	2	y	y	PROPN
ijassa-754	209	3	y	y	PROPN
ijassa-754	209	4	mse	mse	PROPN
ijassa-754	209	5	n	n	CCONJ
ijassa-754	209	6			PROPN
ijassa-754	209	7			PROPN
ijassa-754	209	8			NOUN
ijassa-754	209	9			X
ijassa-754	209	10	(	(	PUNCT
ijassa-754	209	11	3.10	3.10	NUM
ijassa-754	209	12	)	)	PUNCT
ijassa-754	209	13	•	•	NOUN
ijassa-754	209	14	determination	determination	NOUN
ijassa-754	209	15	coefficient	coefficient	NOUN
ijassa-754	209	16	is	be	AUX
ijassa-754	209	17	a	a	DET
ijassa-754	209	18	parameter	parameter	NOUN
ijassa-754	209	19	that	that	PRON
ijassa-754	209	20	shows	show	VERB
ijassa-754	209	21	how	how	SCONJ
ijassa-754	209	22	the	the	DET
ijassa-754	209	23	investigated	investigated	ADJ
ijassa-754	209	24	model	model	NOUN
ijassa-754	209	25	corresponds	correspond	VERB
ijassa-754	209	26	to	to	ADP
ijassa-754	209	27	the	the	DET
ijassa-754	209	28	data	datum	NOUN
ijassa-754	209	29	.	.	PUNCT
ijassa-754	210	1	if	if	SCONJ
ijassa-754	210	2	the	the	DET
ijassa-754	210	3	determination	determination	NOUN
ijassa-754	210	4	coefficient	coefficient	NOUN
ijassa-754	210	5	equals	equal	VERB
ijassa-754	210	6	1	1	NUM
ijassa-754	210	7	,	,	PUNCT
ijassa-754	210	8	the	the	DET
ijassa-754	210	9	data	data	NOUN
ijassa-754	210	10	is	be	AUX
ijassa-754	210	11	exactly	exactly	ADV
ijassa-754	210	12	described	describe	VERB
ijassa-754	210	13	by	by	ADP
ijassa-754	210	14	the	the	DET
ijassa-754	210	15	model	model	NOUN
ijassa-754	210	16	.	.	PUNCT
ijassa-754	211	1	2	2	NUM
ijassa-754	211	2	rg	rg	NOUN
ijassa-754	211	3	2	2	NUM
ijassa-754	211	4	1	1	NUM
ijassa-754	211	5	21	21	NUM
ijassa-754	211	6	1	1	NUM
ijassa-754	211	7	(	(	PUNCT
ijassa-754	211	8	)	)	PUNCT
ijassa-754	211	9	1	1	NUM
ijassa-754	211	10	(	(	PUNCT
ijassa-754	211	11	)	)	PUNCT
ijassa-754	211	12	n	n	CCONJ
ijassa-754	211	13	out	out	ADP
ijassa-754	211	14	ta	ta	ADP
ijassa-754	211	15	et	et	PROPN
ijassa-754	212	1	i	i	PRON
ijassa-754	212	2	n	n	ADV
ijassa-754	212	3	outn	outn	VERB
ijassa-754	212	4	i	i	PRON
ijassa-754	212	5	out	out	ADP
ijassa-754	213	1	i	i	INTJ
ijassa-754	213	2	y	y	VERB
ijassa-754	213	3	y	y	NOUN
ijassa-754	213	4	r	r	NOUN
ijassa-754	213	5	y	y	PROPN
ijassa-754	213	6	y	y	PROPN
ijassa-754	214	1	n	n	CCONJ
ijassa-754	214	2			NUM
ijassa-754	215	1			NUM
ijassa-754	215	2			PROPN
ijassa-754	215	3			PROPN
ijassa-754	215	4			PROPN
ijassa-754	215	5			PROPN
ijassa-754	215	6			PROPN
ijassa-754	215	7			X
ijassa-754	215	8			X
ijassa-754	215	9			X
ijassa-754	215	10	(	(	PUNCT
ijassa-754	215	11	3.11	3.11	NUM
ijassa-754	215	12	)	)	PUNCT
ijassa-754	215	13	according	accord	VERB
ijassa-754	215	14	to	to	ADP
ijassa-754	215	15	the	the	DET
ijassa-754	215	16	listed	list	VERB
ijassa-754	215	17	parameters	parameter	NOUN
ijassa-754	215	18	,	,	PUNCT
ijassa-754	215	19	we	we	PRON
ijassa-754	215	20	conclude	conclude	VERB
ijassa-754	215	21	that	that	SCONJ
ijassa-754	215	22	our	our	PRON
ijassa-754	215	23	model	model	NOUN
ijassa-754	215	24	can	can	AUX
ijassa-754	215	25	be	be	AUX
ijassa-754	215	26	used	use	VERB
ijassa-754	215	27	to	to	PART
ijassa-754	215	28	solve	solve	VERB
ijassa-754	215	29	the	the	DET
ijassa-754	215	30	problem	problem	NOUN
ijassa-754	215	31	.	.	PUNCT
ijassa-754	216	1	if	if	SCONJ
ijassa-754	216	2	the	the	DET
ijassa-754	216	3	model	model	NOUN
ijassa-754	216	4	has	have	VERB
ijassa-754	216	5	low	low	ADJ
ijassa-754	216	6	accuracy	accuracy	NOUN
ijassa-754	216	7	,	,	PUNCT
ijassa-754	216	8	it	it	PRON
ijassa-754	216	9	is	be	AUX
ijassa-754	216	10	trained	train	VERB
ijassa-754	216	11	again	again	ADV
ijassa-754	216	12	,	,	PUNCT
ijassa-754	216	13	or	or	CCONJ
ijassa-754	216	14	a	a	DET
ijassa-754	216	15	different	different	ADJ
ijassa-754	216	16	model	model	NOUN
ijassa-754	216	17	architecture	architecture	NOUN
ijassa-754	216	18	is	be	AUX
ijassa-754	216	19	used	use	VERB
ijassa-754	216	20	.	.	PUNCT
ijassa-754	217	1	4	4	X
ijassa-754	217	2	.	.	X
ijassa-754	217	3	application	application	NOUN
ijassa-754	217	4	of	of	ADP
ijassa-754	217	5	the	the	DET
ijassa-754	217	6	neural	neural	ADJ
ijassa-754	217	7	network	network	NOUN
ijassa-754	217	8	model	model	NOUN
ijassa-754	217	9	according	accord	VERB
ijassa-754	217	10	to	to	ADP
ijassa-754	217	11	the	the	DET
ijassa-754	217	12	results	result	NOUN
ijassa-754	217	13	obtained	obtain	VERB
ijassa-754	217	14	in	in	ADP
ijassa-754	217	15	this	this	DET
ijassa-754	217	16	study	study	NOUN
ijassa-754	217	17	,	,	PUNCT
ijassa-754	217	18	the	the	DET
ijassa-754	217	19	neural	neural	ADJ
ijassa-754	217	20	network	network	NOUN
ijassa-754	217	21	model	model	NOUN
ijassa-754	217	22	can	can	AUX
ijassa-754	217	23	be	be	AUX
ijassa-754	217	24	used	use	VERB
ijassa-754	217	25	to	to	PART
ijassa-754	217	26	calculate	calculate	VERB
ijassa-754	217	27	the	the	DET
ijassa-754	217	28	component	component	NOUN
ijassa-754	217	29	composition	composition	NOUN
ijassa-754	217	30	of	of	ADP
ijassa-754	217	31	natural	natural	ADJ
ijassa-754	217	32	gas	gas	NOUN
ijassa-754	217	33	,	,	PUNCT
ijassa-754	217	34	where	where	SCONJ
ijassa-754	217	35	the	the	DET
ijassa-754	217	36	composition	composition	NOUN
ijassa-754	217	37	is	be	AUX
ijassa-754	217	38	measured	measure	VERB
ijassa-754	217	39	by	by	ADP
ijassa-754	217	40	physical	physical	ADJ
ijassa-754	217	41	parameters	parameter	NOUN
ijassa-754	217	42	.	.	PUNCT
ijassa-754	218	1	to	to	PART
ijassa-754	218	2	check	check	VERB
ijassa-754	218	3	how	how	SCONJ
ijassa-754	218	4	accurate	accurate	ADJ
ijassa-754	218	5	the	the	DET
ijassa-754	218	6	method	method	NOUN
ijassa-754	218	7	is	be	AUX
ijassa-754	218	8	,	,	PUNCT
ijassa-754	218	9	it	it	PRON
ijassa-754	218	10	was	be	AUX
ijassa-754	218	11	tested	test	VERB
ijassa-754	218	12	on	on	ADP
ijassa-754	218	13	a	a	DET
ijassa-754	218	14	data	data	NOUN
ijassa-754	218	15	sample	sample	NOUN
ijassa-754	218	16	.	.	PUNCT
ijassa-754	219	1	this	this	DET
ijassa-754	219	2	sample	sample	NOUN
ijassa-754	219	3	included	include	VERB
ijassa-754	219	4	data	datum	NOUN
ijassa-754	219	5	that	that	PRON
ijassa-754	219	6	was	be	AUX
ijassa-754	219	7	not	not	PART
ijassa-754	219	8	used	use	VERB
ijassa-754	219	9	for	for	ADP
ijassa-754	219	10	training	train	VERB
ijassa-754	219	11	the	the	DET
ijassa-754	219	12	neural	neural	ADJ
ijassa-754	219	13	network	network	NOUN
ijassa-754	219	14	model	model	NOUN
ijassa-754	219	15	.	.	PUNCT
ijassa-754	220	1	the	the	DET
ijassa-754	220	2	test	test	NOUN
ijassa-754	220	3	sample	sample	NOUN
ijassa-754	220	4	includes	include	VERB
ijassa-754	220	5	2218	2218	NUM
ijassa-754	220	6	gas	gas	NOUN
ijassa-754	220	7	mixtures	mixture	NOUN
ijassa-754	220	8	,	,	PUNCT
ijassa-754	220	9	the	the	DET
ijassa-754	220	10	ranges	range	NOUN
ijassa-754	220	11	of	of	ADP
ijassa-754	220	12	its	its	PRON
ijassa-754	220	13	components	component	NOUN
ijassa-754	220	14	are	be	AUX
ijassa-754	220	15	shown	show	VERB
ijassa-754	220	16	in	in	ADP
ijassa-754	220	17	table	table	NOUN
ijassa-754	220	18	4.3	4.3	NUM
ijassa-754	220	19	.	.	PUNCT
ijassa-754	220	20	to	to	PART
ijassa-754	220	21	calculate	calculate	VERB
ijassa-754	220	22	the	the	DET
ijassa-754	220	23	physical	physical	ADJ
ijassa-754	220	24	chemical	chemical	NOUN
ijassa-754	220	25	parameters	parameter	NOUN
ijassa-754	220	26	of	of	ADP
ijassa-754	220	27	the	the	DET
ijassa-754	220	28	simulated	simulated	ADJ
ijassa-754	220	29	sample	sample	NOUN
ijassa-754	220	30	,	,	PUNCT
ijassa-754	220	31	we	we	PRON
ijassa-754	220	32	used	use	VERB
ijassa-754	220	33	nist	nist	NOUN
ijassa-754	220	34	refprop	refprop	NOUN
ijassa-754	220	35	software	software	NOUN
ijassa-754	221	1	[	[	X
ijassa-754	221	2	8	8	NUM
ijassa-754	221	3	]	]	PUNCT
ijassa-754	221	4	.	.	PUNCT
ijassa-754	222	1	to	to	PART
ijassa-754	222	2	calculate	calculate	VERB
ijassa-754	222	3	the	the	DET
ijassa-754	222	4	speed	speed	NOUN
ijassa-754	222	5	of	of	ADP
ijassa-754	222	6	sound	sound	NOUN
ijassa-754	222	7	,	,	PUNCT
ijassa-754	222	8	the	the	DET
ijassa-754	222	9	gerg-2008	gerg-2008	NOUN
ijassa-754	222	10	gas	gas	NOUN
ijassa-754	222	11	state	state	NOUN
ijassa-754	222	12	equation	equation	NOUN
ijassa-754	222	13	was	be	AUX
ijassa-754	222	14	used	use	VERB
ijassa-754	222	15	at	at	ADP
ijassa-754	222	16	standard	standard	ADJ
ijassa-754	222	17	temperature	temperature	NOUN
ijassa-754	222	18	and	and	CCONJ
ijassa-754	222	19	pressure	pressure	NOUN
ijassa-754	222	20	conditions	condition	NOUN
ijassa-754	222	21	.	.	PUNCT
ijassa-754	223	1	to	to	PART
ijassa-754	223	2	calculate	calculate	VERB
ijassa-754	223	3	the	the	DET
ijassa-754	223	4	thermal	thermal	ADJ
ijassa-754	223	5	conductivity	conductivity	NOUN
ijassa-754	223	6	of	of	ADP
ijassa-754	223	7	the	the	DET
ijassa-754	223	8	gas	gas	NOUN
ijassa-754	223	9	mixture	mixture	NOUN
ijassa-754	223	10	,	,	PUNCT
ijassa-754	223	11	models	model	NOUN
ijassa-754	223	12	for	for	ADP
ijassa-754	223	13	individual	individual	ADJ
ijassa-754	223	14	components	component	NOUN
ijassa-754	223	15	and	and	CCONJ
ijassa-754	223	16	extended	extended	ADJ
ijassa-754	223	17	models	model	NOUN
ijassa-754	223	18	for	for	ADP
ijassa-754	223	19	the	the	DET
ijassa-754	223	20	corresponding	correspond	VERB
ijassa-754	223	21	states	state	NOUN
ijassa-754	223	22	were	be	AUX
ijassa-754	223	23	used	use	VERB
ijassa-754	223	24	;	;	PUNCT
ijassa-754	223	25	the	the	DET
ijassa-754	223	26	models	model	NOUN
ijassa-754	223	27	are	be	AUX
ijassa-754	223	28	implemented	implement	VERB
ijassa-754	223	29	in	in	ADP
ijassa-754	223	30	nist	nist	NOUN
ijassa-754	223	31	refprop	refprop	NOUN
ijassa-754	223	32	.	.	PUNCT
ijassa-754	224	1	table	table	NOUN
ijassa-754	224	2	4.3	4.3	NUM
ijassa-754	224	3	.	.	PUNCT
ijassa-754	225	1	ranges	range	NOUN
ijassa-754	225	2	of	of	ADP
ijassa-754	225	3	components	component	NOUN
ijassa-754	225	4	molar	molar	ADJ
ijassa-754	225	5	fractions	fraction	NOUN
ijassa-754	225	6	for	for	ADP
ijassa-754	225	7	test	test	NOUN
ijassa-754	225	8	sample	sample	NOUN
ijassa-754	225	9	component	component	NOUN
ijassa-754	225	10	molar	molar	ADJ
ijassa-754	225	11	fraction	fraction	NOUN
ijassa-754	225	12	,	,	PUNCT
ijassa-754	225	13	distributed	distribute	VERB
ijassa-754	225	14	data	datum	NOUN
ijassa-754	225	15	gathering	gathering	NOUN
ijassa-754	225	16	system	system	NOUN
ijassa-754	225	17	to	to	PART
ijassa-754	225	18	analyze	analyze	VERB
ijassa-754	225	19	natural	natural	ADJ
ijassa-754	225	20	gas	gas	NOUN
ijassa-754	225	21	composition	composition	NOUN
ijassa-754	225	22	23	23	NUM
ijassa-754	225	23	copyright	copyright	NOUN
ijassa-754	225	24	©	©	PROPN
ijassa-754	225	25	2019	2019	NUM
ijassa-754	225	26	assa	assa	NOUN
ijassa-754	225	27	.	.	PUNCT
ijassa-754	226	1	adv	adv	PROPN
ijassa-754	226	2	.	.	PUNCT
ijassa-754	227	1	in	in	ADP
ijassa-754	227	2	systems	system	NOUN
ijassa-754	227	3	science	science	NOUN
ijassa-754	227	4	and	and	CCONJ
ijassa-754	227	5	appl	appl	NOUN
ijassa-754	227	6	.	.	PUNCT
ijassa-754	228	1	(	(	PUNCT
ijassa-754	228	2	2019	2019	NUM
ijassa-754	228	3	)	)	PUNCT
ijassa-754	228	4	%	%	NOUN
ijassa-754	228	5	methane	methane	NOUN
ijassa-754	228	6	80,5	80,5	NUM
ijassa-754	228	7	–	–	PUNCT
ijassa-754	228	8	99,5	99,5	NUM
ijassa-754	228	9	ethane	ethane	NOUN
ijassa-754	228	10	0	0	NUM
ijassa-754	228	11	–	–	PUNCT
ijassa-754	228	12	4,5	4,5	NUM
ijassa-754	228	13	propane	propane	NOUN
ijassa-754	228	14	0	0	NUM
ijassa-754	228	15	–	–	PUNCT
ijassa-754	228	16	2	2	NUM
ijassa-754	228	17	carbon	carbon	NOUN
ijassa-754	228	18	dioxide	dioxide	NOUN
ijassa-754	228	19	0	0	NUM
ijassa-754	228	20	–	–	PUNCT
ijassa-754	228	21	9,5	9,5	NUM
ijassa-754	228	22	nitrogen	nitrogen	NOUN
ijassa-754	228	23	0	0	NUM
ijassa-754	228	24	–	–	PUNCT
ijassa-754	228	25	9,5	9,5	NUM
ijassa-754	228	26	table	table	NOUN
ijassa-754	228	27	4.4	4.4	NUM
ijassa-754	228	28	and	and	CCONJ
ijassa-754	228	29	fig	fig	NOUN
ijassa-754	228	30	.	.	PUNCT
ijassa-754	229	1	4.6	4.6	NUM
ijassa-754	229	2	show	show	VERB
ijassa-754	229	3	how	how	SCONJ
ijassa-754	229	4	accurately	accurately	ADV
ijassa-754	229	5	the	the	DET
ijassa-754	229	6	model	model	NOUN
ijassa-754	229	7	predicts	predict	VERB
ijassa-754	229	8	the	the	DET
ijassa-754	229	9	natural	natural	ADJ
ijassa-754	229	10	gas	gas	NOUN
ijassa-754	229	11	composition	composition	NOUN
ijassa-754	229	12	of	of	ADP
ijassa-754	229	13	the	the	DET
ijassa-754	229	14	test	test	NOUN
ijassa-754	229	15	sample	sample	NOUN
ijassa-754	229	16	.	.	PUNCT
ijassa-754	230	1	carbon	carbon	NOUN
ijassa-754	230	2	dioxide	dioxide	NOUN
ijassa-754	230	3	deviation	deviation	NOUN
ijassa-754	230	4	was	be	AUX
ijassa-754	230	5	set	set	VERB
ijassa-754	230	6	to	to	ADP
ijassa-754	230	7	zero	zero	NUM
ijassa-754	230	8	,	,	PUNCT
ijassa-754	230	9	because	because	SCONJ
ijassa-754	230	10	the	the	DET
ijassa-754	230	11	content	content	NOUN
ijassa-754	230	12	of	of	ADP
ijassa-754	230	13	this	this	DET
ijassa-754	230	14	component	component	NOUN
ijassa-754	230	15	in	in	ADP
ijassa-754	230	16	the	the	DET
ijassa-754	230	17	gas	gas	NOUN
ijassa-754	230	18	sample	sample	NOUN
ijassa-754	230	19	is	be	AUX
ijassa-754	230	20	known	know	VERB
ijassa-754	230	21	since	since	SCONJ
ijassa-754	230	22	the	the	DET
ijassa-754	230	23	non	non	ADJ
ijassa-754	230	24	-	-	ADJ
ijassa-754	230	25	dispersive	dispersive	ADJ
ijassa-754	230	26	absorption	absorption	NOUN
ijassa-754	230	27	of	of	ADP
ijassa-754	230	28	infrared	infrared	ADJ
ijassa-754	230	29	radiation	radiation	NOUN
ijassa-754	230	30	(	(	PUNCT
ijassa-754	230	31	ndir	ndir	NOUN
ijassa-754	230	32	)	)	PUNCT
ijassa-754	230	33	makes	make	VERB
ijassa-754	230	34	it	it	PRON
ijassa-754	230	35	easy	easy	ADJ
ijassa-754	230	36	to	to	PART
ijassa-754	230	37	measure	measure	VERB
ijassa-754	230	38	carbon	carbon	NOUN
ijassa-754	230	39	dioxide	dioxide	NOUN
ijassa-754	230	40	molar	molar	ADJ
ijassa-754	230	41	fraction	fraction	NOUN
ijassa-754	230	42	.	.	PUNCT
ijassa-754	231	1	calculation	calculation	NOUN
ijassa-754	231	2	of	of	ADP
ijassa-754	231	3	the	the	DET
ijassa-754	231	4	parameters	parameter	NOUN
ijassa-754	231	5	,	,	PUNCT
ijassa-754	231	6	as	as	ADV
ijassa-754	231	7	well	well	ADV
ijassa-754	231	8	as	as	ADP
ijassa-754	231	9	constructing	construct	VERB
ijassa-754	231	10	,	,	PUNCT
ijassa-754	231	11	training	training	NOUN
ijassa-754	231	12	,	,	PUNCT
ijassa-754	231	13	and	and	CCONJ
ijassa-754	231	14	testing	test	VERB
ijassa-754	231	15	the	the	DET
ijassa-754	231	16	neural	neural	ADJ
ijassa-754	231	17	network	network	NOUN
ijassa-754	231	18	model	model	NOUN
ijassa-754	231	19	was	be	AUX
ijassa-754	231	20	implemented	implement	VERB
ijassa-754	231	21	by	by	ADP
ijassa-754	231	22	means	mean	NOUN
ijassa-754	231	23	of	of	ADP
ijassa-754	231	24	the	the	DET
ijassa-754	231	25	matlab	matlab	PROPN
ijassa-754	231	26	2018a	2018a	NOUN
ijassa-754	231	27	package	package	NOUN
ijassa-754	231	28	with	with	ADP
ijassa-754	231	29	the	the	DET
ijassa-754	231	30	deep	deep	ADJ
ijassa-754	231	31	learning	learning	NOUN
ijassa-754	231	32	toolbox	toolbox	NOUN
ijassa-754	232	1	[	[	X
ijassa-754	232	2	6	6	NUM
ijassa-754	232	3	]	]	PUNCT
ijassa-754	232	4	.	.	PUNCT
ijassa-754	233	1	table	table	NOUN
ijassa-754	233	2	4.4	4.4	NUM
ijassa-754	233	3	.	.	PUNCT
ijassa-754	234	1	accuracy	accuracy	NOUN
ijassa-754	234	2	of	of	ADP
ijassa-754	234	3	the	the	DET
ijassa-754	234	4	test	test	NOUN
ijassa-754	234	5	sample	sample	NOUN
ijassa-754	234	6	composition	composition	NOUN
ijassa-754	234	7	prediction	prediction	NOUN
ijassa-754	234	8	using	use	VERB
ijassa-754	234	9	neural	neural	ADJ
ijassa-754	234	10	network	network	NOUN
ijassa-754	234	11	model	model	NOUN
ijassa-754	234	12	component	component	NOUN
ijassa-754	234	13	maximum	maximum	ADJ
ijassa-754	234	14	absolute	absolute	ADJ
ijassa-754	234	15	error	error	NOUN
ijassa-754	234	16	,	,	PUNCT
ijassa-754	234	17	%	%	NOUN
ijassa-754	234	18	mean	mean	VERB
ijassa-754	234	19	absolute	absolute	ADJ
ijassa-754	234	20	error	error	NOUN
ijassa-754	234	21	,	,	PUNCT
ijassa-754	234	22	%	%	NOUN
ijassa-754	234	23	standard	standard	ADJ
ijassa-754	234	24	deviation	deviation	NOUN
ijassa-754	234	25	determination	determination	NOUN
ijassa-754	234	26	coefficient	coefficient	NOUN
ijassa-754	234	27	methane	methane	NOUN
ijassa-754	235	1	0,77	0,77	NOUN
ijassa-754	236	1	0,33	0,33	PROPN
ijassa-754	236	2	0,35	0,35	PROPN
ijassa-754	236	3	0,9999	0,9999	PROPN
ijassa-754	236	4	ethane	ethane	NOUN
ijassa-754	236	5	0,38	0,38	PUNCT
ijassa-754	237	1	0,16	0,16	PROPN
ijassa-754	237	2	0,16	0,16	PROPN
ijassa-754	237	3	0,9999	0,9999	PROPN
ijassa-754	237	4	propane	propane	NOUN
ijassa-754	237	5	0,27	0,27	NUM
ijassa-754	237	6	0,12	0,12	NUM
ijassa-754	238	1	0,12	0,12	NUM
ijassa-754	238	2	0,9999	0,9999	PROPN
ijassa-754	238	3	nitrogen	nitrogen	NOUN
ijassa-754	238	4	0,23	0,23	NOUN
ijassa-754	238	5	0,09	0,09	SYM
ijassa-754	238	6	0,11	0,11	NOUN
ijassa-754	238	7	0,9999	0,9999	NOUN
ijassa-754	238	8	carbon	carbon	NOUN
ijassa-754	238	9	dioxide	dioxide	NOUN
ijassa-754	238	10	0	0	NUM
ijassa-754	238	11	0	0	SYM
ijassa-754	238	12	0	0	NUM
ijassa-754	238	13	1	1	NUM
ijassa-754	238	14	fig	fig	NOUN
ijassa-754	238	15	.	.	PUNCT
ijassa-754	239	1	4.6	4.6	NUM
ijassa-754	239	2	.	.	PUNCT
ijassa-754	239	3	neural	neural	ADJ
ijassa-754	239	4	network	network	NOUN
ijassa-754	239	5	prediction	prediction	NOUN
ijassa-754	239	6	deviation	deviation	NOUN
ijassa-754	239	7	(	(	PUNCT
ijassa-754	239	8	in	in	ADP
ijassa-754	239	9	absolute	absolute	ADJ
ijassa-754	239	10	scale	scale	NOUN
ijassa-754	239	11	)	)	PUNCT
ijassa-754	239	12	for	for	ADP
ijassa-754	239	13	the	the	DET
ijassa-754	239	14	test	test	NOUN
ijassa-754	239	15	sample	sample	NOUN
ijassa-754	239	16	5	5	NUM
ijassa-754	239	17	.	.	PUNCT
ijassa-754	239	18	conclusion	conclusion	NOUN
ijassa-754	239	19	the	the	DET
ijassa-754	239	20	proposed	propose	VERB
ijassa-754	239	21	conception	conception	NOUN
ijassa-754	239	22	of	of	ADP
ijassa-754	239	23	distributed	distribute	VERB
ijassa-754	239	24	data	datum	NOUN
ijassa-754	239	25	gathering	gathering	NOUN
ijassa-754	239	26	system	system	NOUN
ijassa-754	239	27	for	for	ADP
ijassa-754	239	28	natural	natural	ADJ
ijassa-754	239	29	gas	gas	NOUN
ijassa-754	239	30	composition	composition	NOUN
ijassa-754	239	31	analysis	analysis	NOUN
ijassa-754	239	32	was	be	AUX
ijassa-754	239	33	used	use	VERB
ijassa-754	239	34	to	to	PART
ijassa-754	239	35	determine	determine	VERB
ijassa-754	239	36	gas	gas	NOUN
ijassa-754	239	37	composition	composition	NOUN
ijassa-754	239	38	by	by	ADP
ijassa-754	239	39	values	value	NOUN
ijassa-754	239	40	of	of	ADP
ijassa-754	239	41	the	the	DET
ijassa-754	239	42	gas	gas	NOUN
ijassa-754	239	43	measurable	measurable	NOUN
ijassa-754	239	44	parameters	parameter	NOUN
ijassa-754	239	45	.	.	PUNCT
ijassa-754	240	1	however	however	ADV
ijassa-754	240	2	,	,	PUNCT
ijassa-754	240	3	expansion	expansion	NOUN
ijassa-754	240	4	of	of	ADP
ijassa-754	240	5	such	such	ADJ
ijassa-754	240	6	systems	system	NOUN
ijassa-754	240	7	is	be	AUX
ijassa-754	240	8	limited	limit	VERB
ijassa-754	240	9	by	by	ADP
ijassa-754	240	10	huge	huge	ADJ
ijassa-754	240	11	complexity	complexity	NOUN
ijassa-754	240	12	of	of	ADP
ijassa-754	240	13	distributed	distribute	VERB
ijassa-754	240	14	software	software	NOUN
ijassa-754	240	15	debugging	debug	VERB
ijassa-754	240	16	[	[	X
ijassa-754	240	17	10	10	NUM
ijassa-754	240	18	]	]	PUNCT
ijassa-754	240	19	.	.	PUNCT
ijassa-754	241	1	the	the	DET
ijassa-754	241	2	main	main	ADJ
ijassa-754	241	3	tasks	task	NOUN
ijassa-754	241	4	of	of	ADP
ijassa-754	241	5	further	further	ADJ
ijassa-754	241	6	research	research	NOUN
ijassa-754	241	7	are	be	AUX
ijassa-754	241	8	to	to	PART
ijassa-754	241	9	develop	develop	VERB
ijassa-754	241	10	a	a	DET
ijassa-754	241	11	neural	neural	ADJ
ijassa-754	241	12	network	network	NOUN
ijassa-754	241	13	model	model	NOUN
ijassa-754	241	14	with	with	ADP
ijassa-754	241	15	a	a	DET
ijassa-754	241	16	more	more	ADV
ijassa-754	241	17	complicated	complicated	ADJ
ijassa-754	241	18	architecture	architecture	NOUN
ijassa-754	241	19	,	,	PUNCT
ijassa-754	241	20	to	to	PART
ijassa-754	241	21	optimize	optimize	VERB
ijassa-754	241	22	the	the	DET
ijassa-754	241	23	number	number	NOUN
ijassa-754	241	24	and	and	CCONJ
ijassa-754	241	25	set	set	NOUN
ijassa-754	241	26	of	of	ADP
ijassa-754	241	27	input	input	NOUN
ijassa-754	241	28	measurable	measurable	ADJ
ijassa-754	241	29	parameters	parameter	NOUN
ijassa-754	241	30	to	to	PART
ijassa-754	241	31	make	make	VERB
ijassa-754	241	32	this	this	DET
ijassa-754	241	33	model	model	NOUN
ijassa-754	241	34	more	more	ADV
ijassa-754	241	35	accurate	accurate	ADJ
ijassa-754	241	36	.	.	PUNCT
ijassa-754	242	1	24	24	NUM
ijassa-754	242	2	i.	i.	PROPN
ijassa-754	242	3	brokarev	brokarev	PROPN
ijassa-754	242	4	,	,	PUNCT
ijassa-754	242	5	s.	s.	PROPN
ijassa-754	242	6	vaskovskii	vaskovskii	PROPN
ijassa-754	242	7	copyright	copyright	NOUN
ijassa-754	242	8	©	©	PROPN
ijassa-754	242	9	2019	2019	NUM
ijassa-754	242	10	assa	assa	PROPN
ijassa-754	242	11	adv	adv	PROPN
ijassa-754	242	12	.	.	PUNCT
ijassa-754	243	1	in	in	ADP
ijassa-754	243	2	systems	system	NOUN
ijassa-754	243	3	science	science	NOUN
ijassa-754	243	4	and	and	CCONJ
ijassa-754	243	5	appl	appl	NOUN
ijassa-754	243	6	.	.	PUNCT
ijassa-754	244	1	(	(	PUNCT
ijassa-754	244	2	2019	2019	NUM
ijassa-754	244	3	)	)	PUNCT
ijassa-754	244	4	acknowledgements	acknowledgement	NOUN
ijassa-754	244	5	the	the	DET
ijassa-754	244	6	authors	author	NOUN
ijassa-754	244	7	are	be	AUX
ijassa-754	244	8	grateful	grateful	ADJ
ijassa-754	244	9	to	to	ADP
ijassa-754	244	10	brisk	brisk	ADJ
ijassa-754	244	11	ii	ii	PROPN
ijassa-754	244	12	ta	ta	PROPN
ijassa-754	244	13	and	and	CCONJ
ijassa-754	244	14	erasmus	erasmus	PROPN
ijassa-754	244	15	+	+	CCONJ
ijassa-754	244	16	2017	2017	NUM
ijassa-754	244	17	-	-	SYM
ijassa-754	244	18	1	1	NUM
ijassa-754	244	19	-	-	PUNCT
ijassa-754	244	20	se01	se01	PROPN
ijassa-754	244	21	-	-	PUNCT
ijassa-754	244	22	ka107	ka107	PROPN
ijassa-754	244	23	-	-	PUNCT
ijassa-754	244	24	034292	034292	NUM
ijassa-754	244	25	staff	staff	NOUN
ijassa-754	244	26	mobility	mobility	NOUN
ijassa-754	244	27	for	for	ADP
ijassa-754	244	28	providing	provide	VERB
ijassa-754	244	29	the	the	DET
ijassa-754	244	30	opportunity	opportunity	NOUN
ijassa-754	244	31	to	to	PART
ijassa-754	244	32	conduct	conduct	VERB
ijassa-754	244	33	this	this	DET
ijassa-754	244	34	study	study	NOUN
ijassa-754	244	35	.	.	PUNCT
ijassa-754	245	1	references	reference	NOUN
ijassa-754	245	2	1	1	NUM
ijassa-754	245	3	.	.	PUNCT
ijassa-754	245	4	altfeld	altfeld	PROPN
ijassa-754	245	5	k.	k.	PROPN
ijassa-754	245	6	,	,	PUNCT
ijassa-754	245	7	schley	schley	PROPN
ijassa-754	245	8	p.	p.	PROPN
ijassa-754	245	9	(	(	PUNCT
ijassa-754	245	10	2012	2012	NUM
ijassa-754	245	11	)	)	PUNCT
ijassa-754	245	12	development	development	NOUN
ijassa-754	245	13	of	of	ADP
ijassa-754	245	14	natural	natural	ADJ
ijassa-754	245	15	gas	gas	NOUN
ijassa-754	245	16	qualities	quality	NOUN
ijassa-754	245	17	in	in	ADP
ijassa-754	245	18	europe	europe	PROPN
ijassa-754	245	19	,	,	PUNCT
ijassa-754	245	20	heat	heat	NOUN
ijassa-754	245	21	processing	processing	NOUN
ijassa-754	245	22	,	,	PUNCT
ijassa-754	245	23	3	3	NUM
ijassa-754	245	24	,	,	PUNCT
ijassa-754	245	25	77	77	NUM
ijassa-754	245	26	-	-	SYM
ijassa-754	245	27	83	83	NUM
ijassa-754	245	28	.	.	PUNCT
ijassa-754	246	1	2	2	X
ijassa-754	246	2	.	.	X
ijassa-754	246	3	dorr	dorr	PROPN
ijassa-754	246	4	h.	h.	PROPN
ijassa-754	246	5	,	,	PUNCT
ijassa-754	246	6	koturbash	koturbash	PROPN
ijassa-754	246	7	t.	t.	PROPN
ijassa-754	246	8	,	,	PUNCT
ijassa-754	246	9	kutcherov	kutcherov	PROPN
ijassa-754	246	10	v.	v.	PROPN
ijassa-754	246	11	(	(	PUNCT
ijassa-754	246	12	2019	2019	NUM
ijassa-754	246	13	)	)	PUNCT
ijassa-754	246	14	review	review	NOUN
ijassa-754	246	15	of	of	ADP
ijassa-754	246	16	impacts	impact	NOUN
ijassa-754	246	17	of	of	ADP
ijassa-754	246	18	gas	gas	NOUN
ijassa-754	246	19	qualities	quality	NOUN
ijassa-754	246	20	with	with	ADP
ijassa-754	246	21	regard	regard	NOUN
ijassa-754	246	22	to	to	ADP
ijassa-754	246	23	quality	quality	NOUN
ijassa-754	246	24	determination	determination	NOUN
ijassa-754	246	25	and	and	CCONJ
ijassa-754	246	26	energy	energy	NOUN
ijassa-754	246	27	metering	metering	NOUN
ijassa-754	246	28	of	of	ADP
ijassa-754	246	29	natural	natural	ADJ
ijassa-754	246	30	gas	gas	NOUN
ijassa-754	246	31	,	,	PUNCT
ijassa-754	246	32	measurement	measurement	NOUN
ijassa-754	246	33	science	science	NOUN
ijassa-754	246	34	and	and	CCONJ
ijassa-754	246	35	technology	technology	NOUN
ijassa-754	246	36	,	,	PUNCT
ijassa-754	246	37	30(2	30(2	NUM
ijassa-754	246	38	)	)	PUNCT
ijassa-754	246	39	,	,	PUNCT
ijassa-754	246	40	1	1	NUM
ijassa-754	246	41	-	-	SYM
ijassa-754	246	42	20	20	NUM
ijassa-754	246	43	.	.	PUNCT
ijassa-754	247	1	3	3	X
ijassa-754	247	2	.	.	X
ijassa-754	247	3	dynament	dynament	NOUN
ijassa-754	247	4	infrared	infrare	VERB
ijassa-754	247	5	gas	gas	NOUN
ijassa-754	247	6	sensors	sensor	NOUN
ijassa-754	247	7	website	website	NOUN
ijassa-754	248	1	[	[	X
ijassa-754	248	2	online	online	X
ijassa-754	248	3	]	]	X
ijassa-754	248	4	.	.	PUNCT
ijassa-754	249	1	available	available	ADJ
ijassa-754	249	2	:	:	PUNCT
ijassa-754	250	1	https://www.dynament.com	https://www.dynament.com	X
ijassa-754	250	2	.	.	PUNCT
ijassa-754	251	1	4	4	X
ijassa-754	251	2	.	.	X
ijassa-754	251	3	koturbash	koturbash	PROPN
ijassa-754	251	4	t.	t.	PROPN
ijassa-754	251	5	,	,	PUNCT
ijassa-754	251	6	bicz	bicz	NOUN
ijassa-754	251	7	a.	a.	NOUN
ijassa-754	251	8	,	,	PUNCT
ijassa-754	251	9	bicz	bicz	VERB
ijassa-754	251	10	w.	w.	NOUN
ijassa-754	251	11	(	(	PUNCT
ijassa-754	251	12	2016	2016	NUM
ijassa-754	251	13	)	)	PUNCT
ijassa-754	251	14	new	new	ADJ
ijassa-754	251	15	instrument	instrument	NOUN
ijassa-754	251	16	for	for	ADP
ijassa-754	251	17	measuring	measure	VERB
ijassa-754	251	18	velocity	velocity	NOUN
ijassa-754	251	19	of	of	ADP
ijassa-754	251	20	sound	sound	ADJ
ijassa-754	251	21	and	and	CCONJ
ijassa-754	251	22	quantitative	quantitative	ADJ
ijassa-754	251	23	characterization	characterization	NOUN
ijassa-754	251	24	of	of	ADP
ijassa-754	251	25	binary	binary	ADJ
ijassa-754	251	26	gas	gas	NOUN
ijassa-754	251	27	mixtures	mixture	NOUN
ijassa-754	251	28	composition	composition	NOUN
ijassa-754	251	29	,	,	PUNCT
ijassa-754	251	30	measurement	measurement	NOUN
ijassa-754	251	31	automation	automation	NOUN
ijassa-754	251	32	monitoring	monitoring	NOUN
ijassa-754	251	33	,	,	PUNCT
ijassa-754	251	34	3	3	NUM
ijassa-754	251	35	,	,	PUNCT
ijassa-754	251	36	254	254	NUM
ijassa-754	251	37	-	-	SYM
ijassa-754	251	38	258	258	NUM
ijassa-754	251	39	.	.	PUNCT
ijassa-754	252	1	5	5	X
ijassa-754	252	2	.	.	X
ijassa-754	252	3	koturbash	koturbash	PROPN
ijassa-754	252	4	t.t	t.t	PROPN
ijassa-754	252	5	.	.	PROPN
ijassa-754	252	6	,	,	PUNCT
ijassa-754	252	7	brokarev	brokarev	PROPN
ijassa-754	252	8	i.a	i.a	PROPN
ijassa-754	252	9	.	.	PROPN
ijassa-754	253	1	(	(	PUNCT
ijassa-754	253	2	2018	2018	NUM
ijassa-754	253	3	)	)	PUNCT
ijassa-754	253	4	metod	metod	VERB
ijassa-754	253	5	opredeleniya	opredeleniya	NOUN
ijassa-754	253	6	svoystv	svoystv	NOUN
ijassa-754	253	7	i	i	PRON
ijassa-754	253	8	sostava	sostava	ADV
ijassa-754	253	9	prirodnogo	prirodnogo	VERB
ijassa-754	253	10	gaza	gaza	PROPN
ijassa-754	253	11	po	po	PROPN
ijassa-754	253	12	izmereniyam	izmereniyam	PROPN
ijassa-754	253	13	ego	ego	NOUN
ijassa-754	253	14	fizicheskikh	fizicheskikh	NOUN
ijassa-754	253	15	parametrov	parametrov	NOUN
ijassa-754	254	1	[	[	X
ijassa-754	254	2	the	the	DET
ijassa-754	254	3	method	method	NOUN
ijassa-754	254	4	of	of	ADP
ijassa-754	254	5	determination	determination	NOUN
ijassa-754	254	6	of	of	ADP
ijassa-754	254	7	the	the	DET
ijassa-754	254	8	properties	property	NOUN
ijassa-754	254	9	and	and	CCONJ
ijassa-754	254	10	the	the	DET
ijassa-754	254	11	composition	composition	NOUN
ijassa-754	254	12	of	of	ADP
ijassa-754	254	13	natural	natural	ADJ
ijassa-754	254	14	gas	gas	NOUN
ijassa-754	254	15	by	by	ADP
ijassa-754	254	16	measuring	measure	VERB
ijassa-754	254	17	of	of	ADP
ijassa-754	254	18	its	its	PRON
ijassa-754	254	19	physical	physical	ADJ
ijassa-754	254	20	parameters	parameter	NOUN
ijassa-754	254	21	]	]	PUNCT
ijassa-754	254	22	.	.	PUNCT
ijassa-754	255	1	sensors	sensor	NOUN
ijassa-754	255	2	&	&	CCONJ
ijassa-754	255	3	systems	system	NOUN
ijassa-754	255	4	,	,	PUNCT
ijassa-754	255	5	6(1	6(1	NUM
ijassa-754	255	6	)	)	PUNCT
ijassa-754	255	7	,	,	PUNCT
ijassa-754	255	8	43	43	NUM
ijassa-754	255	9	-	-	SYM
ijassa-754	255	10	50	50	NUM
ijassa-754	255	11	,	,	PUNCT
ijassa-754	255	12	[	[	X
ijassa-754	255	13	in	in	ADP
ijassa-754	255	14	russian	russian	PROPN
ijassa-754	255	15	]	]	PUNCT
ijassa-754	255	16	.	.	PUNCT
ijassa-754	256	1	6	6	NUM
ijassa-754	256	2	.	.	X
ijassa-754	256	3	matlab	matlab	PROPN
ijassa-754	256	4	2018b	2018b	PROPN
ijassa-754	256	5	software	software	NOUN
ijassa-754	256	6	[	[	X
ijassa-754	256	7	online	online	X
ijassa-754	256	8	]	]	X
ijassa-754	256	9	.	.	PUNCT
ijassa-754	257	1	available	available	ADJ
ijassa-754	257	2	:	:	PUNCT
ijassa-754	258	1	https://www.mathworks.com	https://www.mathworks.com	X
ijassa-754	258	2	.	.	PUNCT
ijassa-754	259	1	7	7	X
ijassa-754	259	2	.	.	X
ijassa-754	259	3	modcon	modcon	PROPN
ijassa-754	259	4	systems	systems	PROPN
ijassa-754	259	5	ltd	ltd	PROPN
ijassa-754	259	6	website	website	NOUN
ijassa-754	259	7	[	[	X
ijassa-754	259	8	online	online	X
ijassa-754	259	9	]	]	X
ijassa-754	259	10	.	.	PUNCT
ijassa-754	260	1	available	available	ADJ
ijassa-754	260	2	:	:	PUNCT
ijassa-754	260	3	https://www.modconsystems.com	https://www.modconsystems.com	X
ijassa-754	260	4	.	.	X
ijassa-754	261	1	8	8	X
ijassa-754	261	2	.	.	PUNCT
ijassa-754	261	3	refprop	refprop	NOUN
ijassa-754	261	4	software	software	NOUN
ijassa-754	262	1	[	[	X
ijassa-754	262	2	online	online	X
ijassa-754	262	3	]	]	X
ijassa-754	262	4	.	.	PUNCT
ijassa-754	263	1	available	available	ADJ
ijassa-754	263	2	:	:	PUNCT
ijassa-754	263	3	https://www.nist.gov/srd/refprop	https://www.nist.gov/srd/refprop	NOUN
ijassa-754	263	4	.	.	PUNCT
ijassa-754	264	1	9	9	X
ijassa-754	264	2	.	.	X
ijassa-754	264	3	stepin	stepin	PROPN
ijassa-754	264	4	u.p	u.p	PROPN
ijassa-754	264	5	.	.	PROPN
ijassa-754	264	6	,	,	PUNCT
ijassa-754	264	7	trahtengerts	trahtengert	VERB
ijassa-754	264	8	e.a	e.a	PROPN
ijassa-754	264	9	.	.	PROPN
ijassa-754	265	1	(	(	PUNCT
ijassa-754	265	2	2007	2007	NUM
ijassa-754	265	3	)	)	PUNCT
ijassa-754	265	4	kompyuternaya	kompyuternaya	NOUN
ijassa-754	265	5	podderzhka	podderzhka	NOUN
ijassa-754	265	6	upravleniya	upravleniya	PROPN
ijassa-754	265	7	neftegazovymi	neftegazovymi	VERB
ijassa-754	265	8	tekhnologicheskimi	tekhnologicheskimi	PROPN
ijassa-754	265	9	protsessami	protsessami	VERB
ijassa-754	265	10	i	i	PRON
ijassa-754	265	11	proizvodstvami.kniga	proizvodstvami.kniga	PROPN
ijassa-754	265	12	1	1	X
ijassa-754	265	13	.	.	PUNCT
ijassa-754	266	1	metody	metody	PROPN
ijassa-754	267	1	i	i	PRON
ijassa-754	267	2	algoritmy	algoritmy	VERB
ijassa-754	267	3	formirovaniya	formirovaniya	VERB
ijassa-754	267	4	upravlencheskikh	upravlencheskikh	ADJ
ijassa-754	267	5	resheniy	resheniy	NOUN
ijassa-754	268	1	[	[	X
ijassa-754	268	2	computer	computer	NOUN
ijassa-754	268	3	-	-	PUNCT
ijassa-754	268	4	aided	aid	VERB
ijassa-754	268	5	management	management	NOUN
ijassa-754	268	6	of	of	ADP
ijassa-754	268	7	oil	oil	NOUN
ijassa-754	268	8	and	and	CCONJ
ijassa-754	268	9	gas	gas	NOUN
ijassa-754	268	10	technological	technological	ADJ
ijassa-754	268	11	processes	process	NOUN
ijassa-754	268	12	and	and	CCONJ
ijassa-754	268	13	industries	industry	NOUN
ijassa-754	268	14	.	.	PUNCT
ijassa-754	269	1	book	book	NOUN
ijassa-754	269	2	i.	i.	NOUN
ijassa-754	269	3	methods	method	NOUN
ijassa-754	269	4	and	and	CCONJ
ijassa-754	269	5	algorithms	algorithm	NOUN
ijassa-754	269	6	of	of	ADP
ijassa-754	269	7	managerial	managerial	ADJ
ijassa-754	269	8	decisions	decision	NOUN
ijassa-754	269	9	]	]	PUNCT
ijassa-754	269	10	.	.	PUNCT
ijassa-754	270	1	221	221	NUM
ijassa-754	270	2	-	-	SYM
ijassa-754	270	3	223	223	NUM
ijassa-754	270	4	,	,	PUNCT
ijassa-754	270	5	[	[	X
ijassa-754	270	6	in	in	ADP
ijassa-754	270	7	russian	russian	PROPN
ijassa-754	270	8	]	]	PUNCT
ijassa-754	270	9	.	.	PUNCT
ijassa-754	271	1	10	10	NUM
ijassa-754	271	2	.	.	PUNCT
ijassa-754	272	1	vaskovskii	vaskovskii	PROPN
ijassa-754	272	2	s.v	s.v	PROPN
ijassa-754	272	3	.	.	PUNCT
ijassa-754	272	4	(	(	PUNCT
ijassa-754	272	5	2009	2009	NUM
ijassa-754	272	6	)	)	PUNCT
ijassa-754	272	7	sredstva	sredstva	PROPN
ijassa-754	272	8	otladki	otladki	ADJ
ijassa-754	272	9	raspredelennykh	raspredelennykh	PROPN
ijassa-754	272	10	mikroprotsessornykh	mikroprotsessornykh	PROPN
ijassa-754	272	11	kompleksov	kompleksov	PROPN
ijassa-754	272	12	realnogo	realnogo	VERB
ijassa-754	272	13	vremeni	vremeni	ADJ
ijassa-754	273	1	[	[	X
ijassa-754	273	2	ways	way	NOUN
ijassa-754	273	3	of	of	ADP
ijassa-754	273	4	debugging	debug	VERB
ijassa-754	273	5	distributed	distribute	VERB
ijassa-754	273	6	microcomputerized	microcomputerize	VERB
ijassa-754	273	7	real	real	ADJ
ijassa-754	273	8	time	time	NOUN
ijassa-754	273	9	systems	system	NOUN
ijassa-754	273	10	]	]	PUNCT
ijassa-754	273	11	.	.	PUNCT
ijassa-754	274	1	sensors	sensor	NOUN
ijassa-754	274	2	&	&	CCONJ
ijassa-754	274	3	systems	system	NOUN
ijassa-754	274	4	,	,	PUNCT
ijassa-754	274	5	1	1	NUM
ijassa-754	274	6	,	,	PUNCT
ijassa-754	274	7	44	44	NUM
ijassa-754	274	8	-	-	SYM
ijassa-754	274	9	45	45	NUM
ijassa-754	274	10	,	,	PUNCT
ijassa-754	274	11	[	[	X
ijassa-754	274	12	in	in	ADP
ijassa-754	274	13	russian	russian	PROPN
ijassa-754	274	14	]	]	X
ijassa-754	274	15	.	.	PUNCT
ijassa-754	275	1	11	11	NUM
ijassa-754	275	2	.	.	X
ijassa-754	275	3	xensor	xensor	PROPN
ijassa-754	275	4	integration	integration	NOUN
ijassa-754	275	5	website	website	NOUN
ijassa-754	275	6	[	[	X
ijassa-754	275	7	online	online	X
ijassa-754	275	8	]	]	X
ijassa-754	275	9	.	.	PUNCT
ijassa-754	276	1	available	available	ADJ
ijassa-754	276	2	:	:	PUNCT
ijassa-754	276	3	http://www.xensor.nl	http://www.xensor.nl	NOUN