id	sid	tid	token	lemma	pos
ap-6132	1	1	acta	acta	PROPN
ap-6132	1	2	polytechnica	polytechnica	PROPN
ap-6132	1	3	doi:10.14311	doi:10.14311	PROPN
ap-6132	1	4	/	/	SYM
ap-6132	1	5	ap.2020.60.0440	ap.2020.60.0440	PROPN
ap-6132	1	6	acta	acta	PROPN
ap-6132	1	7	polytechnica	polytechnica	PROPN
ap-6132	1	8	60(5):440–447	60(5):440–447	PROPN
ap-6132	1	9	,	,	PUNCT
ap-6132	1	10	2020	2020	NUM
ap-6132	1	11	©	©	PROPN
ap-6132	1	12	czech	czech	PROPN
ap-6132	1	13	technical	technical	PROPN
ap-6132	1	14	university	university	PROPN
ap-6132	1	15	in	in	ADP
ap-6132	1	16	prague	prague	PROPN
ap-6132	1	17	,	,	PUNCT
ap-6132	1	18	2020	2020	NUM
ap-6132	1	19	available	available	ADJ
ap-6132	1	20	online	online	ADV
ap-6132	1	21	at	at	ADP
ap-6132	1	22	https://ojs.cvut.cz/ojs/index.php/ap	https://ojs.cvut.cz/ojs/index.php/ap	PROPN
ap-6132	1	23	artificial	artificial	ADJ
ap-6132	1	24	neural	neural	ADJ
ap-6132	1	25	network	network	NOUN
ap-6132	1	26	approach	approach	NOUN
ap-6132	1	27	for	for	ADP
ap-6132	1	28	the	the	DET
ap-6132	1	29	identification	identification	NOUN
ap-6132	1	30	of	of	ADP
ap-6132	1	31	clove	clove	NOUN
ap-6132	1	32	buds	bud	NOUN
ap-6132	1	33	origin	origin	NOUN
ap-6132	1	34	based	base	VERB
ap-6132	1	35	on	on	ADP
ap-6132	1	36	metabolites	metabolite	NOUN
ap-6132	1	37	composition	composition	NOUN
ap-6132	1	38	rustama,∗	rustama,∗	NOUN
ap-6132	1	39	,	,	PUNCT
ap-6132	1	40	agus	agus	NOUN
ap-6132	1	41	yodi	yodi	ADV
ap-6132	1	42	gunawana	gunawana	PROPN
ap-6132	1	43	,	,	PUNCT
ap-6132	1	44	made	make	VERB
ap-6132	1	45	tri	tri	ADJ
ap-6132	1	46	ari	ari	PROPN
ap-6132	1	47	penia	penia	NOUN
ap-6132	1	48	kresnowatib	kresnowatib	VERB
ap-6132	1	49	a	a	DET
ap-6132	1	50	institut	institut	PROPN
ap-6132	1	51	teknologi	teknologi	PROPN
ap-6132	1	52	bandung	bandung	PROPN
ap-6132	1	53	,	,	PUNCT
ap-6132	1	54	faculty	faculty	NOUN
ap-6132	1	55	of	of	ADP
ap-6132	1	56	mathematics	mathematic	NOUN
ap-6132	1	57	and	and	CCONJ
ap-6132	1	58	natural	natural	ADJ
ap-6132	1	59	sciences	science	NOUN
ap-6132	1	60	,	,	PUNCT
ap-6132	1	61	industrial	industrial	ADJ
ap-6132	1	62	and	and	CCONJ
ap-6132	1	63	financial	financial	ADJ
ap-6132	1	64	mathematics	mathematics	PROPN
ap-6132	1	65	research	research	NOUN
ap-6132	1	66	group	group	NOUN
ap-6132	1	67	,	,	PUNCT
ap-6132	1	68	jl	jl	PROPN
ap-6132	1	69	.	.	PUNCT
ap-6132	2	1	ganesha	ganesha	PROPN
ap-6132	2	2	10	10	NUM
ap-6132	2	3	,	,	PUNCT
ap-6132	2	4	40132	40132	NUM
ap-6132	2	5	bandung	bandung	NOUN
ap-6132	2	6	,	,	PUNCT
ap-6132	2	7	indonesia	indonesia	PROPN
ap-6132	2	8	b	b	PROPN
ap-6132	2	9	institut	institut	PROPN
ap-6132	2	10	teknologi	teknologi	PROPN
ap-6132	2	11	bandung	bandung	PROPN
ap-6132	2	12	,	,	PUNCT
ap-6132	2	13	faculty	faculty	NOUN
ap-6132	2	14	of	of	ADP
ap-6132	2	15	industrial	industrial	ADJ
ap-6132	2	16	technology	technology	NOUN
ap-6132	2	17	,	,	PUNCT
ap-6132	2	18	food	food	NOUN
ap-6132	2	19	and	and	CCONJ
ap-6132	2	20	biomass	biomass	NOUN
ap-6132	2	21	processing	processing	NOUN
ap-6132	2	22	technology	technology	NOUN
ap-6132	2	23	research	research	NOUN
ap-6132	2	24	group	group	NOUN
ap-6132	2	25	,	,	PUNCT
ap-6132	2	26	jl	jl	PROPN
ap-6132	2	27	.	.	PUNCT
ap-6132	3	1	ganesha	ganesha	PROPN
ap-6132	3	2	10	10	NUM
ap-6132	3	3	,	,	PUNCT
ap-6132	3	4	40132	40132	NUM
ap-6132	3	5	bandung	bandung	NOUN
ap-6132	3	6	,	,	PUNCT
ap-6132	3	7	indonesia	indonesia	PROPN
ap-6132	3	8	∗	∗	PROPN
ap-6132	3	9	corresponding	correspond	VERB
ap-6132	3	10	author	author	NOUN
ap-6132	3	11	:	:	PUNCT
ap-6132	3	12	rustam.math@s.itb.ac.id	rustam.math@s.itb.ac.id	NOUN
ap-6132	3	13	abstract	abstract	NOUN
ap-6132	3	14	.	.	PUNCT
ap-6132	4	1	this	this	DET
ap-6132	4	2	paper	paper	NOUN
ap-6132	4	3	examines	examine	VERB
ap-6132	4	4	the	the	DET
ap-6132	4	5	use	use	NOUN
ap-6132	4	6	of	of	ADP
ap-6132	4	7	an	an	DET
ap-6132	4	8	artificial	artificial	ADJ
ap-6132	4	9	neural	neural	ADJ
ap-6132	4	10	network	network	NOUN
ap-6132	4	11	approach	approach	NOUN
ap-6132	4	12	in	in	ADP
ap-6132	4	13	identifying	identify	VERB
ap-6132	4	14	the	the	DET
ap-6132	4	15	origin	origin	NOUN
ap-6132	4	16	of	of	ADP
ap-6132	4	17	clove	clove	NOUN
ap-6132	4	18	buds	bud	NOUN
ap-6132	4	19	based	base	VERB
ap-6132	4	20	on	on	ADP
ap-6132	4	21	metabolites	metabolite	NOUN
ap-6132	4	22	composition	composition	NOUN
ap-6132	4	23	.	.	PUNCT
ap-6132	5	1	generally	generally	ADV
ap-6132	5	2	,	,	PUNCT
ap-6132	5	3	large	large	ADJ
ap-6132	5	4	data	data	NOUN
ap-6132	5	5	sets	set	NOUN
ap-6132	5	6	are	be	AUX
ap-6132	5	7	critical	critical	ADJ
ap-6132	5	8	for	for	ADP
ap-6132	5	9	an	an	DET
ap-6132	5	10	accurate	accurate	ADJ
ap-6132	5	11	identification	identification	NOUN
ap-6132	5	12	.	.	PUNCT
ap-6132	6	1	machine	machine	NOUN
ap-6132	6	2	learning	learn	VERB
ap-6132	6	3	with	with	ADP
ap-6132	6	4	large	large	ADJ
ap-6132	6	5	data	datum	NOUN
ap-6132	6	6	sets	set	NOUN
ap-6132	6	7	lead	lead	VERB
ap-6132	6	8	to	to	ADP
ap-6132	6	9	a	a	DET
ap-6132	6	10	precise	precise	ADJ
ap-6132	6	11	identification	identification	NOUN
ap-6132	6	12	based	base	VERB
ap-6132	6	13	on	on	ADP
ap-6132	6	14	origins	origin	NOUN
ap-6132	6	15	.	.	PUNCT
ap-6132	7	1	however	however	ADV
ap-6132	7	2	,	,	PUNCT
ap-6132	7	3	clove	clove	NOUN
ap-6132	7	4	buds	bud	NOUN
ap-6132	7	5	uses	use	VERB
ap-6132	7	6	small	small	ADJ
ap-6132	7	7	data	datum	NOUN
ap-6132	7	8	sets	set	NOUN
ap-6132	7	9	due	due	ADP
ap-6132	7	10	to	to	ADP
ap-6132	7	11	the	the	DET
ap-6132	7	12	lack	lack	NOUN
ap-6132	7	13	of	of	ADP
ap-6132	7	14	metabolites	metabolite	NOUN
ap-6132	7	15	composition	composition	NOUN
ap-6132	7	16	and	and	CCONJ
ap-6132	7	17	their	their	PRON
ap-6132	7	18	high	high	ADJ
ap-6132	7	19	cost	cost	NOUN
ap-6132	7	20	of	of	ADP
ap-6132	7	21	extraction	extraction	NOUN
ap-6132	7	22	.	.	PUNCT
ap-6132	8	1	the	the	DET
ap-6132	8	2	results	result	NOUN
ap-6132	8	3	show	show	VERB
ap-6132	8	4	that	that	SCONJ
ap-6132	8	5	backpropagation	backpropagation	NOUN
ap-6132	8	6	and	and	CCONJ
ap-6132	8	7	resilient	resilient	ADJ
ap-6132	8	8	propagation	propagation	NOUN
ap-6132	8	9	with	with	ADP
ap-6132	8	10	one	one	NUM
ap-6132	8	11	and	and	CCONJ
ap-6132	8	12	two	two	NUM
ap-6132	8	13	hidden	hidden	ADJ
ap-6132	8	14	layers	layer	NOUN
ap-6132	8	15	identifies	identify	VERB
ap-6132	8	16	the	the	DET
ap-6132	8	17	clove	clove	NOUN
ap-6132	8	18	buds	bud	NOUN
ap-6132	8	19	origin	origin	VERB
ap-6132	8	20	accurately	accurately	ADV
ap-6132	8	21	.	.	PUNCT
ap-6132	9	1	the	the	DET
ap-6132	9	2	backpropagation	backpropagation	NOUN
ap-6132	9	3	with	with	ADP
ap-6132	9	4	one	one	NUM
ap-6132	9	5	hidden	hide	VERB
ap-6132	9	6	layer	layer	NOUN
ap-6132	9	7	offers	offer	VERB
ap-6132	9	8	99.91	99.91	NUM
ap-6132	9	9	%	%	NOUN
ap-6132	9	10	and	and	CCONJ
ap-6132	9	11	99.47	99.47	NUM
ap-6132	9	12	%	%	NOUN
ap-6132	9	13	for	for	ADP
ap-6132	9	14	training	training	NOUN
ap-6132	9	15	and	and	CCONJ
ap-6132	9	16	testing	testing	NOUN
ap-6132	9	17	data	datum	NOUN
ap-6132	9	18	sets	set	NOUN
ap-6132	9	19	,	,	PUNCT
ap-6132	9	20	respectively	respectively	ADV
ap-6132	9	21	.	.	PUNCT
ap-6132	10	1	the	the	DET
ap-6132	10	2	resilient	resilient	ADJ
ap-6132	10	3	propagation	propagation	NOUN
ap-6132	10	4	with	with	ADP
ap-6132	10	5	two	two	NUM
ap-6132	10	6	hidden	hidden	ADJ
ap-6132	10	7	layers	layer	NOUN
ap-6132	10	8	offers	offer	VERB
ap-6132	10	9	99.96	99.96	NUM
ap-6132	10	10	%	%	NOUN
ap-6132	10	11	and	and	CCONJ
ap-6132	10	12	97.89	97.89	NUM
ap-6132	10	13	%	%	NOUN
ap-6132	10	14	accuracy	accuracy	NOUN
ap-6132	10	15	for	for	ADP
ap-6132	10	16	training	training	NOUN
ap-6132	10	17	and	and	CCONJ
ap-6132	10	18	testing	testing	NOUN
ap-6132	10	19	data	datum	NOUN
ap-6132	10	20	sets	set	NOUN
ap-6132	10	21	,	,	PUNCT
ap-6132	10	22	respectively	respectively	ADV
ap-6132	10	23	.	.	PUNCT
ap-6132	11	1	keywords	keyword	NOUN
ap-6132	11	2	:	:	PUNCT
ap-6132	11	3	artificial	artificial	ADJ
ap-6132	11	4	neural	neural	ADJ
ap-6132	11	5	networks	network	NOUN
ap-6132	11	6	,	,	PUNCT
ap-6132	11	7	backpropagation	backpropagation	NOUN
ap-6132	11	8	,	,	PUNCT
ap-6132	11	9	resilient	resilient	ADJ
ap-6132	11	10	propagation	propagation	NOUN
ap-6132	11	11	,	,	PUNCT
ap-6132	11	12	clove	clove	NOUN
ap-6132	11	13	buds	bud	NOUN
ap-6132	11	14	.	.	PUNCT
ap-6132	12	1	1	1	X
ap-6132	12	2	.	.	X
ap-6132	12	3	introduction	introduction	NOUN
ap-6132	12	4	there	there	PRON
ap-6132	12	5	is	be	VERB
ap-6132	12	6	a	a	DET
ap-6132	12	7	variation	variation	NOUN
ap-6132	12	8	in	in	ADP
ap-6132	12	9	the	the	DET
ap-6132	12	10	flavour	flavour	NOUN
ap-6132	12	11	and	and	CCONJ
ap-6132	12	12	aroma	aroma	NOUN
ap-6132	12	13	of	of	ADP
ap-6132	12	14	different	different	ADJ
ap-6132	12	15	plantation	plantation	NOUN
ap-6132	12	16	commodities	commodity	NOUN
ap-6132	12	17	.	.	PUNCT
ap-6132	13	1	for	for	ADP
ap-6132	13	2	example	example	NOUN
ap-6132	13	3	,	,	PUNCT
ap-6132	13	4	in	in	ADP
ap-6132	13	5	indonesia	indonesia	PROPN
ap-6132	13	6	,	,	PUNCT
ap-6132	13	7	the	the	DET
ap-6132	13	8	clove	clove	NOUN
ap-6132	13	9	buds	bud	NOUN
ap-6132	13	10	from	from	ADP
ap-6132	13	11	java	java	PROPN
ap-6132	13	12	have	have	VERB
ap-6132	13	13	a	a	DET
ap-6132	13	14	prominent	prominent	ADJ
ap-6132	13	15	wooden	wooden	ADJ
ap-6132	13	16	aroma	aroma	NOUN
ap-6132	13	17	and	and	CCONJ
ap-6132	13	18	sour	sour	ADJ
ap-6132	13	19	flavour	flavour	NOUN
ap-6132	13	20	while	while	SCONJ
ap-6132	13	21	those	those	PRON
ap-6132	13	22	in	in	ADP
ap-6132	13	23	bali	bali	PROPN
ap-6132	13	24	have	have	VERB
ap-6132	13	25	a	a	DET
ap-6132	13	26	sweet	sweet	ADJ
ap-6132	13	27	-	-	PUNCT
ap-6132	13	28	spicy	spicy	NOUN
ap-6132	13	29	flavour	flavour	NOUN
ap-6132	14	1	[	[	X
ap-6132	14	2	1	1	NUM
ap-6132	14	3	]	]	PUNCT
ap-6132	14	4	.	.	PUNCT
ap-6132	15	1	arabica	arabica	PROPN
ap-6132	15	2	coffee	coffee	NOUN
ap-6132	15	3	from	from	ADP
ap-6132	15	4	gayo	gayo	PROPN
ap-6132	15	5	has	have	VERB
ap-6132	15	6	a	a	DET
ap-6132	15	7	lower	low	ADJ
ap-6132	15	8	acidity	acidity	NOUN
ap-6132	15	9	and	and	CCONJ
ap-6132	15	10	a	a	DET
ap-6132	15	11	strong	strong	ADJ
ap-6132	15	12	bitterness	bitterness	NOUN
ap-6132	15	13	.	.	PUNCT
ap-6132	16	1	in	in	ADP
ap-6132	16	2	contrast	contrast	NOUN
ap-6132	16	3	,	,	PUNCT
ap-6132	16	4	coffee	coffee	NOUN
ap-6132	16	5	from	from	ADP
ap-6132	16	6	toraja	toraja	PROPN
ap-6132	16	7	has	have	VERB
ap-6132	16	8	a	a	DET
ap-6132	16	9	medium	medium	ADJ
ap-6132	16	10	browning	browning	NOUN
ap-6132	16	11	,	,	PUNCT
ap-6132	16	12	tobacco	tobacco	NOUN
ap-6132	16	13	,	,	PUNCT
ap-6132	16	14	or	or	CCONJ
ap-6132	16	15	caramel	caramel	ADJ
ap-6132	16	16	flavour	flavour	NOUN
ap-6132	16	17	,	,	PUNCT
ap-6132	16	18	not	not	PART
ap-6132	16	19	too	too	ADV
ap-6132	16	20	acidic	acidic	ADJ
ap-6132	16	21	and	and	CCONJ
ap-6132	16	22	bitter	bitter	ADJ
ap-6132	16	23	.	.	PUNCT
ap-6132	17	1	furthermore	furthermore	ADV
ap-6132	17	2	,	,	PUNCT
ap-6132	17	3	kintamani	kintamani	ADJ
ap-6132	17	4	coffee	coffee	NOUN
ap-6132	17	5	from	from	ADP
ap-6132	17	6	bali	bali	PROPN
ap-6132	17	7	has	have	VERB
ap-6132	17	8	a	a	DET
ap-6132	17	9	fruit	fruit	NOUN
ap-6132	17	10	flavour	flavour	NOUN
ap-6132	17	11	and	and	CCONJ
ap-6132	17	12	acidity	acidity	NOUN
ap-6132	17	13	,	,	PUNCT
ap-6132	17	14	mixed	mix	VERB
ap-6132	17	15	with	with	ADP
ap-6132	17	16	a	a	DET
ap-6132	17	17	fresh	fresh	ADJ
ap-6132	17	18	flavour	flavour	NOUN
ap-6132	17	19	.	.	PUNCT
ap-6132	18	1	contrastingly	contrastingly	ADV
ap-6132	18	2	,	,	PUNCT
ap-6132	18	3	coffee	coffee	NOUN
ap-6132	18	4	from	from	ADP
ap-6132	18	5	flores	flores	PROPN
ap-6132	18	6	has	have	VERB
ap-6132	18	7	a	a	DET
ap-6132	18	8	variety	variety	NOUN
ap-6132	18	9	of	of	ADP
ap-6132	18	10	flavours	flavour	NOUN
ap-6132	18	11	ranging	ranging	NOUN
ap-6132	18	12	from	from	ADP
ap-6132	18	13	chocolate	chocolate	NOUN
ap-6132	18	14	,	,	PUNCT
ap-6132	18	15	spicy	spicy	ADJ
ap-6132	18	16	,	,	PUNCT
ap-6132	18	17	tobacco	tobacco	NOUN
ap-6132	18	18	,	,	PUNCT
ap-6132	18	19	strong	strong	ADJ
ap-6132	18	20	,	,	PUNCT
ap-6132	18	21	citrus	citrus	NOUN
ap-6132	18	22	,	,	PUNCT
ap-6132	18	23	flowers	flower	NOUN
ap-6132	18	24	and	and	CCONJ
ap-6132	18	25	wood	wood	NOUN
ap-6132	18	26	.	.	PUNCT
ap-6132	19	1	coffee	coffee	NOUN
ap-6132	19	2	from	from	ADP
ap-6132	19	3	java	java	PROPN
ap-6132	19	4	has	have	VERB
ap-6132	19	5	a	a	DET
ap-6132	19	6	spicy	spicy	ADJ
ap-6132	19	7	aroma	aroma	NOUN
ap-6132	19	8	while	while	SCONJ
ap-6132	19	9	that	that	SCONJ
ap-6132	19	10	from	from	ADP
ap-6132	19	11	wamena	wamena	PROPN
ap-6132	19	12	has	have	VERB
ap-6132	19	13	a	a	DET
ap-6132	19	14	fragrant	fragrant	ADJ
ap-6132	19	15	aroma	aroma	NOUN
ap-6132	19	16	and	and	CCONJ
ap-6132	19	17	without	without	ADP
ap-6132	19	18	pulp	pulp	NOUN
ap-6132	19	19	[	[	X
ap-6132	19	20	2	2	NUM
ap-6132	19	21	]	]	PUNCT
ap-6132	19	22	.	.	PUNCT
ap-6132	20	1	the	the	DET
ap-6132	20	2	specific	specific	ADJ
ap-6132	20	3	flavours	flavour	NOUN
ap-6132	20	4	and	and	CCONJ
ap-6132	20	5	aromas	aroma	NOUN
ap-6132	20	6	are	be	AUX
ap-6132	20	7	attributed	attribute	VERB
ap-6132	20	8	to	to	ADP
ap-6132	20	9	the	the	DET
ap-6132	20	10	composition	composition	NOUN
ap-6132	20	11	of	of	ADP
ap-6132	20	12	commodities	commodity	NOUN
ap-6132	20	13	’	'	PUNCT
ap-6132	20	14	metabolites	metabolite	NOUN
ap-6132	20	15	.	.	PUNCT
ap-6132	21	1	generally	generally	ADV
ap-6132	21	2	,	,	PUNCT
ap-6132	21	3	specific	specific	ADJ
ap-6132	21	4	metabolite	metabolite	NOUN
ap-6132	21	5	is	be	AUX
ap-6132	21	6	responsible	responsible	ADJ
ap-6132	21	7	for	for	ADP
ap-6132	21	8	particular	particular	ADJ
ap-6132	21	9	flavours	flavour	NOUN
ap-6132	21	10	and	and	CCONJ
ap-6132	21	11	aroma	aroma	NOUN
ap-6132	21	12	.	.	PUNCT
ap-6132	22	1	for	for	ADP
ap-6132	22	2	this	this	DET
ap-6132	22	3	reason	reason	NOUN
ap-6132	22	4	,	,	PUNCT
ap-6132	22	5	it	it	PRON
ap-6132	22	6	is	be	AUX
ap-6132	22	7	vital	vital	ADJ
ap-6132	22	8	to	to	PART
ap-6132	22	9	recognize	recognize	VERB
ap-6132	22	10	the	the	DET
ap-6132	22	11	characteristics	characteristic	NOUN
ap-6132	22	12	of	of	ADP
ap-6132	22	13	each	each	DET
ap-6132	22	14	plantation	plantation	NOUN
ap-6132	22	15	commodity	commodity	NOUN
ap-6132	22	16	based	base	VERB
ap-6132	22	17	on	on	ADP
ap-6132	22	18	the	the	DET
ap-6132	22	19	metabolite	metabolite	NOUN
ap-6132	22	20	composition	composition	NOUN
ap-6132	22	21	.	.	PUNCT
ap-6132	23	1	this	this	DET
ap-6132	23	2	study	study	NOUN
ap-6132	23	3	investigates	investigate	VERB
ap-6132	23	4	the	the	DET
ap-6132	23	5	origin	origin	NOUN
ap-6132	23	6	of	of	ADP
ap-6132	23	7	clove	clove	NOUN
ap-6132	23	8	buds	bud	NOUN
ap-6132	23	9	.	.	PUNCT
ap-6132	24	1	this	this	PRON
ap-6132	24	2	helps	help	VERB
ap-6132	24	3	to	to	PART
ap-6132	24	4	maintain	maintain	VERB
ap-6132	24	5	the	the	DET
ap-6132	24	6	flavour	flavour	NOUN
ap-6132	24	7	of	of	ADP
ap-6132	24	8	a	a	DET
ap-6132	24	9	product	product	NOUN
ap-6132	24	10	using	use	VERB
ap-6132	24	11	clove	clove	NOUN
ap-6132	24	12	buds	bud	NOUN
ap-6132	24	13	as	as	ADP
ap-6132	24	14	a	a	DET
ap-6132	24	15	mixture	mixture	NOUN
ap-6132	24	16	.	.	PUNCT
ap-6132	25	1	also	also	ADV
ap-6132	25	2	,	,	PUNCT
ap-6132	25	3	the	the	DET
ap-6132	25	4	characteristics	characteristic	NOUN
ap-6132	25	5	of	of	ADP
ap-6132	25	6	food	food	NOUN
ap-6132	25	7	products	product	NOUN
ap-6132	25	8	can	can	AUX
ap-6132	25	9	be	be	AUX
ap-6132	25	10	predicted	predict	VERB
ap-6132	25	11	based	base	VERB
ap-6132	25	12	on	on	ADP
ap-6132	25	13	the	the	DET
ap-6132	25	14	origin	origin	NOUN
ap-6132	25	15	of	of	ADP
ap-6132	25	16	clove	clove	NOUN
ap-6132	25	17	buds	bud	NOUN
ap-6132	25	18	used	use	VERB
ap-6132	25	19	due	due	ADP
ap-6132	25	20	to	to	ADP
ap-6132	25	21	the	the	DET
ap-6132	25	22	differences	difference	NOUN
ap-6132	25	23	in	in	ADP
ap-6132	25	24	flavour	flavour	NOUN
ap-6132	25	25	and	and	CCONJ
ap-6132	25	26	taste	taste	NOUN
ap-6132	25	27	between	between	ADP
ap-6132	25	28	regions	region	NOUN
ap-6132	25	29	[	[	X
ap-6132	25	30	3	3	NUM
ap-6132	25	31	]	]	PUNCT
ap-6132	25	32	.	.	PUNCT
ap-6132	26	1	metabolic	metabolic	NOUN
ap-6132	26	2	profiling	profiling	NOUN
ap-6132	26	3	is	be	AUX
ap-6132	26	4	a	a	DET
ap-6132	26	5	widely	widely	ADV
ap-6132	26	6	used	use	VERB
ap-6132	26	7	approach	approach	NOUN
ap-6132	26	8	in	in	ADP
ap-6132	26	9	obtaining	obtain	VERB
ap-6132	26	10	information	information	NOUN
ap-6132	26	11	related	relate	VERB
ap-6132	26	12	to	to	ADP
ap-6132	26	13	metabolites	metabolite	NOUN
ap-6132	26	14	contained	contain	VERB
ap-6132	26	15	in	in	ADP
ap-6132	26	16	a	a	DET
ap-6132	26	17	biological	biological	ADJ
ap-6132	26	18	sample	sample	NOUN
ap-6132	26	19	.	.	PUNCT
ap-6132	27	1	this	this	PRON
ap-6132	27	2	is	be	AUX
ap-6132	27	3	a	a	DET
ap-6132	27	4	quantitative	quantitative	ADJ
ap-6132	27	5	measurement	measurement	NOUN
ap-6132	27	6	of	of	ADP
ap-6132	27	7	metabolites	metabolite	NOUN
ap-6132	27	8	from	from	ADP
ap-6132	27	9	biological	biological	ADJ
ap-6132	27	10	samples	sample	NOUN
ap-6132	27	11	[	[	X
ap-6132	27	12	4	4	NUM
ap-6132	27	13	,	,	PUNCT
ap-6132	27	14	5	5	NUM
ap-6132	27	15	]	]	PUNCT
ap-6132	27	16	.	.	PUNCT
ap-6132	28	1	to	to	PART
ap-6132	28	2	give	give	VERB
ap-6132	28	3	meaning	meaning	NOUN
ap-6132	28	4	to	to	ADP
ap-6132	28	5	the	the	DET
ap-6132	28	6	metabolites	metabolite	NOUN
ap-6132	28	7	data	datum	NOUN
ap-6132	28	8	sets	set	NOUN
ap-6132	28	9	,	,	PUNCT
ap-6132	28	10	the	the	DET
ap-6132	28	11	chemometrics	chemometric	NOUN
ap-6132	28	12	technique	technique	NOUN
ap-6132	28	13	was	be	AUX
ap-6132	28	14	developed	develop	VERB
ap-6132	28	15	.	.	PUNCT
ap-6132	29	1	this	this	PRON
ap-6132	29	2	is	be	AUX
ap-6132	29	3	a	a	DET
ap-6132	29	4	chemical	chemical	ADJ
ap-6132	29	5	sub	sub	NOUN
ap-6132	29	6	-	-	NOUN
ap-6132	29	7	discipline	discipline	NOUN
ap-6132	29	8	that	that	PRON
ap-6132	29	9	uses	use	VERB
ap-6132	29	10	mathematics	mathematic	NOUN
ap-6132	29	11	,	,	PUNCT
ap-6132	29	12	statistics	statistic	NOUN
ap-6132	29	13	and	and	CCONJ
ap-6132	29	14	formal	formal	ADJ
ap-6132	29	15	logic	logic	NOUN
ap-6132	29	16	to	to	PART
ap-6132	29	17	gain	gain	VERB
ap-6132	29	18	knowledge	knowledge	NOUN
ap-6132	29	19	about	about	ADP
ap-6132	29	20	chemical	chemical	NOUN
ap-6132	29	21	systems	system	NOUN
ap-6132	29	22	.	.	PUNCT
ap-6132	30	1	it	it	PRON
ap-6132	30	2	provides	provide	VERB
ap-6132	30	3	maximum	maximum	ADJ
ap-6132	30	4	relevant	relevant	ADJ
ap-6132	30	5	information	information	NOUN
ap-6132	30	6	by	by	ADP
ap-6132	30	7	analysing	analyse	VERB
ap-6132	30	8	metabolites	metabolite	NOUN
ap-6132	30	9	data	datum	NOUN
ap-6132	30	10	sets	set	NOUN
ap-6132	30	11	from	from	ADP
ap-6132	30	12	biological	biological	ADJ
ap-6132	30	13	samples	sample	NOUN
ap-6132	30	14	[	[	X
ap-6132	30	15	6	6	NUM
ap-6132	30	16	]	]	PUNCT
ap-6132	30	17	.	.	PUNCT
ap-6132	31	1	additionally	additionally	ADV
ap-6132	31	2	,	,	PUNCT
ap-6132	31	3	it	it	PRON
ap-6132	31	4	is	be	AUX
ap-6132	31	5	used	use	VERB
ap-6132	31	6	in	in	ADP
ap-6132	31	7	pattern	pattern	NOUN
ap-6132	31	8	recognition	recognition	NOUN
ap-6132	31	9	of	of	ADP
ap-6132	31	10	metabolites	metabolite	NOUN
ap-6132	31	11	data	datum	NOUN
ap-6132	31	12	sets	set	NOUN
ap-6132	31	13	in	in	ADP
ap-6132	31	14	complex	complex	ADJ
ap-6132	31	15	chemical	chemical	NOUN
ap-6132	31	16	systems	system	NOUN
ap-6132	31	17	[	[	X
ap-6132	31	18	3	3	NUM
ap-6132	31	19	]	]	PUNCT
ap-6132	31	20	.	.	PUNCT
ap-6132	32	1	pattern	pattern	NOUN
ap-6132	32	2	recognition	recognition	NOUN
ap-6132	32	3	in	in	ADP
ap-6132	32	4	biological	biological	ADJ
ap-6132	32	5	samples	sample	NOUN
ap-6132	32	6	identifies	identify	VERB
ap-6132	32	7	specific	specific	ADJ
ap-6132	32	8	metabolites	metabolite	NOUN
ap-6132	32	9	or	or	CCONJ
ap-6132	32	10	biomarkers	biomarker	NOUN
ap-6132	32	11	that	that	PRON
ap-6132	32	12	form	form	VERB
ap-6132	32	13	a	a	DET
ap-6132	32	14	particular	particular	ADJ
ap-6132	32	15	flavour	flavour	NOUN
ap-6132	32	16	and	and	CCONJ
ap-6132	32	17	aroma	aroma	NOUN
ap-6132	32	18	.	.	PUNCT
ap-6132	33	1	artificial	artificial	ADJ
ap-6132	33	2	neural	neural	ADJ
ap-6132	33	3	networks	network	NOUN
ap-6132	33	4	have	have	AUX
ap-6132	33	5	been	be	AUX
ap-6132	33	6	widely	widely	ADV
ap-6132	33	7	used	use	VERB
ap-6132	33	8	in	in	ADP
ap-6132	33	9	pattern	pattern	NOUN
ap-6132	33	10	recognition	recognition	NOUN
ap-6132	34	1	[	[	X
ap-6132	34	2	7	7	X
ap-6132	34	3	]	]	PUNCT
ap-6132	34	4	and	and	CCONJ
ap-6132	34	5	other	other	ADJ
ap-6132	34	6	applications	application	NOUN
ap-6132	34	7	in	in	ADP
ap-6132	34	8	various	various	ADJ
ap-6132	34	9	fields	field	NOUN
ap-6132	34	10	as	as	SCONJ
ap-6132	34	11	shown	show	VERB
ap-6132	34	12	by	by	ADP
ap-6132	34	13	some	some	DET
ap-6132	34	14	researchs	research	NOUN
ap-6132	34	15	[	[	X
ap-6132	34	16	8–13	8–13	NOUN
ap-6132	34	17	]	]	PUNCT
ap-6132	34	18	.	.	PUNCT
ap-6132	35	1	however	however	ADV
ap-6132	35	2	,	,	PUNCT
ap-6132	35	3	it	it	PRON
ap-6132	35	4	has	have	AUX
ap-6132	35	5	not	not	PART
ap-6132	35	6	been	be	AUX
ap-6132	35	7	fully	fully	ADV
ap-6132	35	8	implemented	implement	VERB
ap-6132	35	9	,	,	PUNCT
ap-6132	35	10	especially	especially	ADV
ap-6132	35	11	in	in	ADP
ap-6132	35	12	clove	clove	NOUN
ap-6132	35	13	buds	bud	NOUN
ap-6132	35	14	.	.	PUNCT
ap-6132	36	1	the	the	DET
ap-6132	36	2	small	small	ADJ
ap-6132	36	3	data	data	NOUN
ap-6132	36	4	sets	set	VERB
ap-6132	36	5	available	available	ADJ
ap-6132	36	6	limit	limit	VERB
ap-6132	36	7	the	the	DET
ap-6132	36	8	implementation	implementation	NOUN
ap-6132	36	9	of	of	ADP
ap-6132	36	10	artificial	artificial	ADJ
ap-6132	36	11	neural	neural	ADJ
ap-6132	36	12	networks	network	NOUN
ap-6132	36	13	for	for	ADP
ap-6132	36	14	clove	clove	NOUN
ap-6132	36	15	buds	bud	NOUN
ap-6132	36	16	.	.	PUNCT
ap-6132	37	1	this	this	PRON
ap-6132	37	2	is	be	AUX
ap-6132	37	3	attributed	attribute	VERB
ap-6132	37	4	to	to	ADP
ap-6132	37	5	the	the	DET
ap-6132	37	6	lack	lack	NOUN
ap-6132	37	7	of	of	ADP
ap-6132	37	8	metabolite	metabolite	NOUN
ap-6132	37	9	composition	composition	NOUN
ap-6132	37	10	in	in	ADP
ap-6132	37	11	the	the	DET
ap-6132	37	12	clove	clove	NOUN
ap-6132	37	13	buds	bud	NOUN
ap-6132	37	14	and	and	CCONJ
ap-6132	37	15	the	the	DET
ap-6132	37	16	high	high	ADJ
ap-6132	37	17	cost	cost	NOUN
ap-6132	37	18	for	for	ADP
ap-6132	37	19	extracting	extract	VERB
ap-6132	37	20	them	they	PRON
ap-6132	37	21	.	.	PUNCT
ap-6132	38	1	furthermore	furthermore	ADV
ap-6132	38	2	,	,	PUNCT
ap-6132	38	3	some	some	DET
ap-6132	38	4	clove	clove	NOUN
ap-6132	38	5	buds	bud	NOUN
ap-6132	38	6	have	have	VERB
ap-6132	38	7	zero	zero	NUM
ap-6132	38	8	metabolite	metabolite	NOUN
ap-6132	38	9	concentration	concentration	NOUN
ap-6132	38	10	.	.	PUNCT
ap-6132	39	1	however	however	ADV
ap-6132	39	2	,	,	PUNCT
ap-6132	39	3	this	this	PRON
ap-6132	39	4	is	be	AUX
ap-6132	39	5	because	because	SCONJ
ap-6132	39	6	of	of	ADP
ap-6132	39	7	inefficient	inefficient	ADJ
ap-6132	39	8	tools	tool	NOUN
ap-6132	39	9	in	in	ADP
ap-6132	39	10	the	the	DET
ap-6132	39	11	laboratory	laboratory	NOUN
ap-6132	39	12	to	to	PART
ap-6132	39	13	detect	detect	VERB
ap-6132	39	14	metabolites	metabolite	NOUN
ap-6132	39	15	whose	whose	DET
ap-6132	39	16	values	value	NOUN
ap-6132	39	17	are	be	AUX
ap-6132	39	18	very	very	ADV
ap-6132	39	19	small	small	ADJ
ap-6132	39	20	.	.	PUNCT
ap-6132	40	1	therefore	therefore	ADV
ap-6132	40	2	,	,	PUNCT
ap-6132	40	3	this	this	DET
ap-6132	40	4	study	study	NOUN
ap-6132	40	5	implements	implement	VERB
ap-6132	40	6	artificial	artificial	ADJ
ap-6132	40	7	neural	neural	ADJ
ap-6132	40	8	networks	network	NOUN
ap-6132	40	9	as	as	ADP
ap-6132	40	10	pattern	pattern	NOUN
ap-6132	40	11	recognition	recognition	NOUN
ap-6132	40	12	in	in	ADP
ap-6132	40	13	clove	clove	NOUN
ap-6132	40	14	buds	bud	NOUN
ap-6132	40	15	data	data	NOUN
ap-6132	40	16	sets	set	NOUN
ap-6132	40	17	.	.	PUNCT
ap-6132	41	1	each	each	DET
ap-6132	41	2	origin	origin	NOUN
ap-6132	41	3	of	of	ADP
ap-6132	41	4	clove	clove	NOUN
ap-6132	41	5	buds	bud	NOUN
ap-6132	41	6	has	have	VERB
ap-6132	41	7	specific	specific	ADJ
ap-6132	41	8	metabolites	metabolite	NOUN
ap-6132	41	9	as	as	ADP
ap-6132	41	10	a	a	DET
ap-6132	41	11	biomarker	biomarker	NOUN
ap-6132	41	12	.	.	PUNCT
ap-6132	42	1	2	2	X
ap-6132	42	2	.	.	X
ap-6132	42	3	materials	material	NOUN
ap-6132	42	4	and	and	CCONJ
ap-6132	42	5	methods	method	NOUN
ap-6132	42	6	2.1	2.1	NUM
ap-6132	42	7	.	.	PUNCT
ap-6132	43	1	materials	material	NOUN
ap-6132	43	2	this	this	DET
ap-6132	43	3	study	study	NOUN
ap-6132	43	4	uses	use	VERB
ap-6132	43	5	clove	clove	NOUN
ap-6132	43	6	buds	bud	NOUN
ap-6132	43	7	data	data	NOUN
ap-6132	43	8	sets	set	NOUN
ap-6132	43	9	obtained	obtain	VERB
ap-6132	43	10	from	from	ADP
ap-6132	43	11	kresnowati	kresnowati	PROPN
ap-6132	43	12	et	et	PROPN
ap-6132	43	13	al	al	PROPN
ap-6132	43	14	.	.	PUNCT
ap-6132	44	1	[	[	X
ap-6132	44	2	3	3	NUM
ap-6132	44	3	]	]	PUNCT
ap-6132	44	4	.	.	PUNCT
ap-6132	45	1	it	it	PRON
ap-6132	45	2	examined	examine	VERB
ap-6132	45	3	clove	clove	NOUN
ap-6132	45	4	buds	bud	NOUN
ap-6132	45	5	from	from	ADP
ap-6132	45	6	four	four	NUM
ap-6132	45	7	origins	origin	NOUN
ap-6132	45	8	in	in	ADP
ap-6132	45	9	indonesia	indonesia	PROPN
ap-6132	45	10	,	,	PUNCT
ap-6132	45	11	including	include	VERB
ap-6132	45	12	java	java	PROPN
ap-6132	45	13	,	,	PUNCT
ap-6132	45	14	bali	bali	PROPN
ap-6132	45	15	,	,	PUNCT
ap-6132	45	16	manado	manado	PROPN
ap-6132	45	17	and	and	CCONJ
ap-6132	45	18	toli	toli	NOUN
ap-6132	45	19	-	-	PUNCT
ap-6132	45	20	toli	toli	NOUN
ap-6132	45	21	.	.	PUNCT
ap-6132	46	1	each	each	DET
ap-6132	46	2	origin	origin	NOUN
ap-6132	46	3	has	have	VERB
ap-6132	46	4	three	three	NUM
ap-6132	46	5	regions	region	NOUN
ap-6132	46	6	,	,	PUNCT
ap-6132	46	7	and	and	CCONJ
ap-6132	46	8	440	440	NUM
ap-6132	46	9	https://doi.org/10.14311/ap.2020.60.0440	https://doi.org/10.14311/ap.2020.60.0440	PROPN
ap-6132	46	10	https://ojs.cvut.cz/ojs/index.php/ap	https://ojs.cvut.cz/ojs/index.php/ap	PROPN
ap-6132	46	11	vol	vol	NOUN
ap-6132	46	12	.	.	PUNCT
ap-6132	47	1	60	60	NUM
ap-6132	47	2	no	no	NOUN
ap-6132	47	3	.	.	PUNCT
ap-6132	48	1	5/2020	5/2020	NUM
ap-6132	48	2	artificial	artificial	ADJ
ap-6132	48	3	neural	neural	ADJ
ap-6132	48	4	network	network	NOUN
ap-6132	48	5	approach	approach	NOUN
ap-6132	48	6	for	for	ADP
ap-6132	48	7	the	the	DET
ap-6132	48	8	identification	identification	NOUN
ap-6132	48	9	.	.	PUNCT
ap-6132	48	10	.	.	PUNCT
ap-6132	48	11	.	.	PUNCT
ap-6132	49	1	therefore	therefore	ADV
ap-6132	49	2	,	,	PUNCT
ap-6132	49	3	there	there	PRON
ap-6132	49	4	are	be	VERB
ap-6132	49	5	twelve	twelve	NUM
ap-6132	49	6	regions	region	NOUN
ap-6132	49	7	in	in	ADP
ap-6132	49	8	total	total	NOUN
ap-6132	49	9	.	.	PUNCT
ap-6132	50	1	in	in	ADP
ap-6132	50	2	the	the	DET
ap-6132	50	3	laboratory	laboratory	NOUN
ap-6132	50	4	,	,	PUNCT
ap-6132	50	5	eight	eight	NUM
ap-6132	50	6	experiments	experiment	NOUN
ap-6132	50	7	are	be	AUX
ap-6132	50	8	carried	carry	VERB
ap-6132	50	9	out	out	ADP
ap-6132	50	10	in	in	ADP
ap-6132	50	11	each	each	DET
ap-6132	50	12	region	region	NOUN
ap-6132	50	13	,	,	PUNCT
ap-6132	50	14	except	except	SCONJ
ap-6132	50	15	for	for	ADP
ap-6132	50	16	java	java	NOUN
ap-6132	50	17	with	with	ADP
ap-6132	50	18	only	only	ADV
ap-6132	50	19	six	six	NUM
ap-6132	50	20	experiments	experiment	NOUN
ap-6132	50	21	.	.	PUNCT
ap-6132	51	1	for	for	ADP
ap-6132	51	2	each	each	DET
ap-6132	51	3	experiment	experiment	NOUN
ap-6132	51	4	,	,	PUNCT
ap-6132	51	5	47	47	NUM
ap-6132	51	6	types	type	NOUN
ap-6132	51	7	of	of	ADP
ap-6132	51	8	metabolites	metabolite	NOUN
ap-6132	51	9	were	be	AUX
ap-6132	51	10	recorded	record	VERB
ap-6132	51	11	.	.	PUNCT
ap-6132	52	1	in	in	ADP
ap-6132	52	2	the	the	DET
ap-6132	52	3	matrix	matrix	NOUN
ap-6132	52	4	,	,	PUNCT
ap-6132	52	5	data	datum	NOUN
ap-6132	52	6	sets	set	NOUN
ap-6132	52	7	are	be	AUX
ap-6132	52	8	94	94	NUM
ap-6132	52	9	×	×	NOUN
ap-6132	52	10	47	47	NUM
ap-6132	52	11	.	.	PUNCT
ap-6132	53	1	the	the	DET
ap-6132	53	2	row	row	NOUN
ap-6132	53	3	and	and	CCONJ
ap-6132	53	4	column	column	NOUN
ap-6132	53	5	represent	represent	VERB
ap-6132	53	6	the	the	DET
ap-6132	53	7	number	number	NOUN
ap-6132	53	8	of	of	ADP
ap-6132	53	9	experiments	experiment	NOUN
ap-6132	53	10	and	and	CCONJ
ap-6132	53	11	metabolites	metabolite	NOUN
ap-6132	53	12	,	,	PUNCT
ap-6132	53	13	respectively	respectively	ADV
ap-6132	53	14	.	.	PUNCT
ap-6132	54	1	2.2	2.2	NUM
ap-6132	54	2	.	.	PUNCT
ap-6132	55	1	data	datum	NOUN
ap-6132	55	2	preprocessing	preprocesse	VERB
ap-6132	55	3	in	in	ADP
ap-6132	55	4	total	total	NOUN
ap-6132	55	5	,	,	PUNCT
ap-6132	55	6	the	the	DET
ap-6132	55	7	clove	clove	NOUN
ap-6132	55	8	buds	bud	NOUN
ap-6132	55	9	data	data	NOUN
ap-6132	55	10	sets	set	NOUN
ap-6132	55	11	have	have	VERB
ap-6132	55	12	a	a	DET
ap-6132	55	13	wide	wide	ADJ
ap-6132	55	14	range	range	NOUN
ap-6132	55	15	,	,	PUNCT
ap-6132	55	16	specifically	specifically	ADV
ap-6132	55	17	between	between	ADP
ap-6132	55	18	10−4	10−4	NUM
ap-6132	55	19	and	and	CCONJ
ap-6132	55	20	10	10	NUM
ap-6132	55	21	.	.	PUNCT
ap-6132	56	1	therefore	therefore	ADV
ap-6132	56	2	,	,	PUNCT
ap-6132	56	3	logarithmic	logarithmic	ADJ
ap-6132	56	4	transformations	transformation	NOUN
ap-6132	56	5	are	be	AUX
ap-6132	56	6	used	use	VERB
ap-6132	56	7	to	to	PART
ap-6132	56	8	obtain	obtain	VERB
ap-6132	56	9	reliable	reliable	ADJ
ap-6132	56	10	numerical	numerical	ADJ
ap-6132	56	11	data	datum	NOUN
ap-6132	56	12	.	.	PUNCT
ap-6132	57	1	since	since	SCONJ
ap-6132	57	2	some	some	DET
ap-6132	57	3	metabolites	metabolite	NOUN
ap-6132	57	4	data	datum	NOUN
ap-6132	57	5	have	have	VERB
ap-6132	57	6	zero	zero	NUM
ap-6132	57	7	concentration	concentration	NOUN
ap-6132	57	8	,	,	PUNCT
ap-6132	57	9	logarithmic	logarithmic	ADJ
ap-6132	57	10	transformation	transformation	NOUN
ap-6132	57	11	can	can	AUX
ap-6132	57	12	not	not	PART
ap-6132	57	13	be	be	AUX
ap-6132	57	14	applied	apply	VERB
ap-6132	57	15	directly	directly	ADV
ap-6132	57	16	.	.	PUNCT
ap-6132	58	1	this	this	PRON
ap-6132	58	2	is	be	AUX
ap-6132	58	3	because	because	SCONJ
ap-6132	58	4	their	their	PRON
ap-6132	58	5	concentrations	concentration	NOUN
ap-6132	58	6	range	range	VERB
ap-6132	58	7	below	below	ADP
ap-6132	58	8	the	the	DET
ap-6132	58	9	specified	specify	VERB
ap-6132	58	10	threshold	threshold	NOUN
ap-6132	58	11	.	.	PUNCT
ap-6132	59	1	the	the	DET
ap-6132	59	2	metabolite	metabolite	NOUN
ap-6132	59	3	data	datum	NOUN
ap-6132	59	4	with	with	ADP
ap-6132	59	5	zero	zero	NUM
ap-6132	59	6	concentration	concentration	NOUN
ap-6132	59	7	are	be	AUX
ap-6132	59	8	not	not	PART
ap-6132	59	9	removed	remove	VERB
ap-6132	59	10	because	because	SCONJ
ap-6132	59	11	of	of	ADP
ap-6132	59	12	acting	act	VERB
ap-6132	59	13	as	as	ADP
ap-6132	59	14	biological	biological	ADJ
ap-6132	59	15	markers	marker	NOUN
ap-6132	59	16	.	.	PUNCT
ap-6132	60	1	therefore	therefore	ADV
ap-6132	60	2	,	,	PUNCT
ap-6132	60	3	they	they	PRON
ap-6132	60	4	are	be	AUX
ap-6132	60	5	replaced	replace	VERB
ap-6132	60	6	with	with	ADP
ap-6132	60	7	a	a	DET
ap-6132	60	8	value	value	NOUN
ap-6132	60	9	of	of	ADP
ap-6132	60	10	one	one	NUM
ap-6132	60	11	order	order	NOUN
ap-6132	60	12	smaller	small	ADJ
ap-6132	60	13	than	than	ADP
ap-6132	60	14	the	the	DET
ap-6132	60	15	smallest	small	ADJ
ap-6132	60	16	concentration	concentration	NOUN
ap-6132	60	17	available	available	ADJ
ap-6132	60	18	.	.	PUNCT
ap-6132	61	1	in	in	ADP
ap-6132	61	2	this	this	DET
ap-6132	61	3	case	case	NOUN
ap-6132	61	4	,	,	PUNCT
ap-6132	61	5	the	the	DET
ap-6132	61	6	zeros	zero	NOUN
ap-6132	61	7	are	be	AUX
ap-6132	61	8	replaced	replace	VERB
ap-6132	61	9	with	with	ADP
ap-6132	61	10	10−5	10−5	NUM
ap-6132	61	11	.	.	PUNCT
ap-6132	62	1	before	before	ADP
ap-6132	62	2	implementing	implement	VERB
ap-6132	62	3	artificial	artificial	ADJ
ap-6132	62	4	neural	neural	ADJ
ap-6132	62	5	networks	network	NOUN
ap-6132	62	6	,	,	PUNCT
ap-6132	62	7	one	one	NUM
ap-6132	62	8	stage	stage	NOUN
ap-6132	62	9	preprocessing	preprocesse	VERB
ap-6132	62	10	clove	clove	NOUN
ap-6132	62	11	buds	bud	NOUN
ap-6132	62	12	data	data	NOUN
ap-6132	62	13	sets	set	NOUN
ap-6132	62	14	from	from	ADP
ap-6132	62	15	[	[	X
ap-6132	62	16	14	14	NUM
ap-6132	62	17	]	]	PUNCT
ap-6132	62	18	are	be	AUX
ap-6132	62	19	added	add	VERB
ap-6132	62	20	to	to	PART
ap-6132	62	21	normalize	normalize	VERB
ap-6132	62	22	the	the	DET
ap-6132	62	23	values	value	NOUN
ap-6132	62	24	of	of	ADP
ap-6132	62	25	metabolites	metabolite	NOUN
ap-6132	62	26	data	datum	NOUN
ap-6132	62	27	.	.	PUNCT
ap-6132	63	1	the	the	DET
ap-6132	63	2	normalization	normalization	NOUN
ap-6132	63	3	ensures	ensure	VERB
ap-6132	63	4	that	that	SCONJ
ap-6132	63	5	each	each	DET
ap-6132	63	6	data	datum	NOUN
ap-6132	63	7	has	have	VERB
ap-6132	63	8	the	the	DET
ap-6132	63	9	same	same	ADJ
ap-6132	63	10	influence	influence	NOUN
ap-6132	63	11	or	or	CCONJ
ap-6132	63	12	contribution	contribution	NOUN
ap-6132	63	13	to	to	PART
ap-6132	63	14	determine	determine	VERB
ap-6132	63	15	its	its	PRON
ap-6132	63	16	origin	origin	NOUN
ap-6132	63	17	.	.	PUNCT
ap-6132	64	1	the	the	DET
ap-6132	64	2	following	follow	VERB
ap-6132	64	3	normalization	normalization	NOUN
ap-6132	64	4	formula	formula	NOUN
ap-6132	64	5	is	be	AUX
ap-6132	64	6	used	use	VERB
ap-6132	64	7	[	[	PUNCT
ap-6132	64	8	15	15	NUM
ap-6132	64	9	]	]	PUNCT
ap-6132	64	10	zkl	zkl	NOUN
ap-6132	64	11	=	=	SYM
ap-6132	64	12	xkl	xkl	NOUN
ap-6132	64	13	−	−	PROPN
ap-6132	64	14	x	x	SYM
ap-6132	64	15	s	s	X
ap-6132	64	16	.	.	PUNCT
ap-6132	65	1	(	(	PUNCT
ap-6132	65	2	1	1	X
ap-6132	65	3	)	)	PUNCT
ap-6132	65	4	here	here	ADV
ap-6132	65	5	,	,	PUNCT
ap-6132	65	6	zkl	zkl	NOUN
ap-6132	65	7	is	be	AUX
ap-6132	65	8	the	the	DET
ap-6132	65	9	result	result	NOUN
ap-6132	65	10	of	of	ADP
ap-6132	65	11	normalization	normalization	NOUN
ap-6132	65	12	of	of	ADP
ap-6132	65	13	xkl	xkl	PROPN
ap-6132	65	14	,	,	PUNCT
ap-6132	65	15	x	x	X
ap-6132	65	16	is	be	AUX
ap-6132	65	17	the	the	DET
ap-6132	65	18	mean	mean	NOUN
ap-6132	65	19	of	of	ADP
ap-6132	65	20	the	the	DET
ap-6132	65	21	k	k	NOUN
ap-6132	65	22	-	-	PUNCT
ap-6132	65	23	th	th	VERB
ap-6132	65	24	experiment	experiment	NOUN
ap-6132	65	25	and	and	CCONJ
ap-6132	65	26	s	s	NOUN
ap-6132	65	27	is	be	AUX
ap-6132	65	28	s	s	NOUN
ap-6132	65	29	=	=	PUNCT
ap-6132	65	30	√√√√	√√√√	PRON
ap-6132	65	31	n∑	n∑	NOUN
ap-6132	65	32	k=1	k=1	NOUN
ap-6132	65	33	xkl	xkl	PROPN
ap-6132	66	1	−	−	NOUN
ap-6132	66	2	x	x	SYM
ap-6132	66	3	n−	n−	NOUN
ap-6132	66	4	1	1	NUM
ap-6132	66	5	.	.	PUNCT
ap-6132	67	1	(	(	PUNCT
ap-6132	67	2	2	2	NUM
ap-6132	67	3	)	)	PUNCT
ap-6132	67	4	2.3	2.3	NUM
ap-6132	67	5	.	.	PUNCT
ap-6132	68	1	artificial	artificial	ADJ
ap-6132	68	2	neural	neural	ADJ
ap-6132	68	3	network	network	NOUN
ap-6132	68	4	artificial	artificial	ADJ
ap-6132	68	5	neural	neural	ADJ
ap-6132	68	6	networks	network	NOUN
ap-6132	68	7	are	be	AUX
ap-6132	68	8	a	a	DET
ap-6132	68	9	false	false	ADJ
ap-6132	68	10	representation	representation	NOUN
ap-6132	68	11	of	of	ADP
ap-6132	68	12	the	the	DET
ap-6132	68	13	human	human	ADJ
ap-6132	68	14	brain	brain	NOUN
ap-6132	68	15	that	that	PRON
ap-6132	68	16	simulates	simulate	VERB
ap-6132	68	17	the	the	DET
ap-6132	68	18	learning	learning	NOUN
ap-6132	68	19	process	process	NOUN
ap-6132	68	20	[	[	X
ap-6132	68	21	16	16	NUM
ap-6132	68	22	]	]	PUNCT
ap-6132	68	23	.	.	PUNCT
ap-6132	69	1	backpropagation	backpropagation	NOUN
ap-6132	69	2	and	and	CCONJ
ap-6132	69	3	resilient	resilient	ADJ
ap-6132	69	4	propagation	propagation	NOUN
ap-6132	69	5	are	be	AUX
ap-6132	69	6	learning	learn	VERB
ap-6132	69	7	algorithms	algorithm	NOUN
ap-6132	69	8	widely	widely	ADV
ap-6132	69	9	used	use	VERB
ap-6132	69	10	in	in	ADP
ap-6132	69	11	artificial	artificial	ADJ
ap-6132	69	12	neural	neural	ADJ
ap-6132	69	13	networks	network	NOUN
ap-6132	69	14	[	[	X
ap-6132	69	15	17–27	17–27	NUM
ap-6132	69	16	]	]	PUNCT
ap-6132	69	17	.	.	PUNCT
ap-6132	70	1	in	in	ADP
ap-6132	70	2	this	this	DET
ap-6132	70	3	study	study	NOUN
ap-6132	70	4	,	,	PUNCT
ap-6132	70	5	two	two	NUM
ap-6132	70	6	different	different	ADJ
ap-6132	70	7	network	network	NOUN
ap-6132	70	8	architectures	architecture	NOUN
ap-6132	70	9	,	,	PUNCT
ap-6132	70	10	including	include	VERB
ap-6132	70	11	resilient	resilient	ADJ
ap-6132	70	12	and	and	CCONJ
ap-6132	70	13	backpropagation	backpropagation	NOUN
ap-6132	70	14	,	,	PUNCT
ap-6132	70	15	are	be	AUX
ap-6132	70	16	used	use	VERB
ap-6132	70	17	.	.	PUNCT
ap-6132	71	1	the	the	DET
ap-6132	71	2	first	first	ADJ
ap-6132	71	3	and	and	CCONJ
ap-6132	71	4	second	second	ADJ
ap-6132	71	5	architectures	architecture	NOUN
ap-6132	71	6	consist	consist	VERB
ap-6132	71	7	of	of	ADP
ap-6132	71	8	two	two	NUM
ap-6132	71	9	and	and	CCONJ
ap-6132	71	10	one	one	NUM
ap-6132	71	11	hidden	hide	VERB
ap-6132	71	12	layers	layer	NOUN
ap-6132	71	13	,	,	PUNCT
ap-6132	71	14	respectively	respectively	ADV
ap-6132	71	15	.	.	PUNCT
ap-6132	72	1	2.3.1	2.3.1	X
ap-6132	72	2	.	.	PUNCT
ap-6132	72	3	backpropagation	backpropagation	NOUN
ap-6132	72	4	learning	learning	NOUN
ap-6132	72	5	algorithm	algorithm	NOUN
ap-6132	72	6	the	the	DET
ap-6132	72	7	backpropagation	backpropagation	NOUN
ap-6132	72	8	learning	learn	VERB
ap-6132	72	9	algorithm	algorithm	NOUN
ap-6132	72	10	is	be	AUX
ap-6132	72	11	based	base	VERB
ap-6132	72	12	on	on	ADP
ap-6132	72	13	the	the	DET
ap-6132	72	14	repeated	repeat	VERB
ap-6132	72	15	use	use	NOUN
ap-6132	72	16	of	of	ADP
ap-6132	72	17	chain	chain	NOUN
ap-6132	72	18	rules	rule	NOUN
ap-6132	72	19	to	to	PART
ap-6132	72	20	calculate	calculate	VERB
ap-6132	72	21	the	the	DET
ap-6132	72	22	effect	effect	NOUN
ap-6132	72	23	of	of	ADP
ap-6132	72	24	each	each	DET
ap-6132	72	25	weight	weight	NOUN
ap-6132	72	26	in	in	ADP
ap-6132	72	27	network	network	NOUN
ap-6132	72	28	concerning	concern	VERB
ap-6132	72	29	the	the	DET
ap-6132	72	30	error	error	NOUN
ap-6132	72	31	function	function	NOUN
ap-6132	72	32	e	e	NOUN
ap-6132	73	1	[	[	X
ap-6132	73	2	28	28	NUM
ap-6132	73	3	]	]	PUNCT
ap-6132	73	4	.	.	PUNCT
ap-6132	74	1	∂e	∂e	NOUN
ap-6132	74	2	∂wij	∂wij	NOUN
ap-6132	74	3	=	=	SYM
ap-6132	74	4	∂e	∂e	NOUN
ap-6132	74	5	∂oi	∂oi	ADJ
ap-6132	74	6	∂oi	∂oi	PROPN
ap-6132	74	7	∂neti	∂neti	NUM
ap-6132	74	8	∂neti	∂neti	NUM
ap-6132	74	9	∂wij	∂wij	NOUN
ap-6132	74	10	(	(	PUNCT
ap-6132	74	11	3	3	NUM
ap-6132	74	12	)	)	PUNCT
ap-6132	74	13	where	where	SCONJ
ap-6132	74	14	wij	wij	PROPN
ap-6132	74	15	is	be	AUX
ap-6132	74	16	the	the	DET
ap-6132	74	17	weight	weight	NOUN
ap-6132	74	18	from	from	ADP
ap-6132	74	19	j	j	PROPN
ap-6132	74	20	−	−	PROPN
ap-6132	74	21	th	th	X
ap-6132	74	22	neuron	neuron	NOUN
ap-6132	74	23	to	to	ADP
ap-6132	74	24	i−	i−	PROPN
ap-6132	74	25	th	th	PROPN
ap-6132	74	26	neuron	neuron	NOUN
ap-6132	74	27	,	,	PUNCT
ap-6132	74	28	oi	oi	ADV
ap-6132	74	29	is	be	AUX
ap-6132	74	30	the	the	DET
ap-6132	74	31	output	output	NOUN
ap-6132	74	32	,	,	PUNCT
ap-6132	74	33	and	and	CCONJ
ap-6132	74	34	neti	neti	NOUN
ap-6132	74	35	is	be	AUX
ap-6132	74	36	the	the	DET
ap-6132	74	37	weighted	weighted	ADJ
ap-6132	74	38	number	number	NOUN
ap-6132	74	39	of	of	ADP
ap-6132	74	40	neurons	neuron	NOUN
ap-6132	74	41	input	input	NOUN
ap-6132	74	42	i.	i.	NOUN
ap-6132	74	43	once	once	ADV
ap-6132	74	44	the	the	DET
ap-6132	74	45	partial	partial	ADJ
ap-6132	74	46	derivatives	derivative	NOUN
ap-6132	74	47	for	for	ADP
ap-6132	74	48	each	each	DET
ap-6132	74	49	weight	weight	NOUN
ap-6132	74	50	are	be	AUX
ap-6132	74	51	known	know	VERB
ap-6132	74	52	,	,	PUNCT
ap-6132	74	53	the	the	DET
ap-6132	74	54	goal	goal	NOUN
ap-6132	74	55	of	of	ADP
ap-6132	74	56	minimizing	minimize	VERB
ap-6132	74	57	the	the	DET
ap-6132	74	58	error	error	NOUN
ap-6132	74	59	function	function	NOUN
ap-6132	74	60	is	be	AUX
ap-6132	74	61	achieved	achieve	VERB
ap-6132	74	62	with	with	ADP
ap-6132	74	63	gradient	gradient	ADJ
ap-6132	74	64	descent	descent	NOUN
ap-6132	75	1	[	[	X
ap-6132	75	2	28	28	NUM
ap-6132	75	3	]	]	X
ap-6132	75	4	:	:	PUNCT
ap-6132	75	5	w	w	X
ap-6132	75	6	(	(	PUNCT
ap-6132	75	7	t+1	t+1	PROPN
ap-6132	75	8	)	)	PUNCT
ap-6132	75	9	ij	ij	NOUN
ap-6132	75	10	=	=	SYM
ap-6132	75	11	w	w	PROPN
ap-6132	75	12	(	(	PUNCT
ap-6132	75	13	t	t	PROPN
ap-6132	75	14	)	)	PUNCT
ap-6132	75	15	ij	ij	NOUN
ap-6132	75	16	−	−	PROPN
ap-6132	75	17	ε	ε	PROPN
ap-6132	75	18	∂e	∂e	PROPN
ap-6132	75	19	∂wij	∂wij	NOUN
ap-6132	75	20	(	(	PUNCT
ap-6132	75	21	t	t	NOUN
ap-6132	75	22	)	)	PUNCT
ap-6132	75	23	(	(	PUNCT
ap-6132	75	24	4	4	X
ap-6132	75	25	)	)	PUNCT
ap-6132	75	26	where	where	SCONJ
ap-6132	75	27	t	t	PROPN
ap-6132	75	28	is	be	AUX
ap-6132	75	29	iteration	iteration	NOUN
ap-6132	75	30	and	and	CCONJ
ap-6132	75	31	0	0	NUM
ap-6132	75	32	<	<	X
ap-6132	75	33	ε	ε	X
ap-6132	75	34	<	<	X
ap-6132	75	35	1	1	NUM
ap-6132	75	36	the	the	DET
ap-6132	75	37	learning	learning	NOUN
ap-6132	75	38	rate	rate	NOUN
ap-6132	75	39	.	.	PUNCT
ap-6132	76	1	from	from	ADP
ap-6132	76	2	the	the	DET
ap-6132	76	3	equation	equation	NOUN
ap-6132	76	4	(	(	PUNCT
ap-6132	76	5	4	4	NUM
ap-6132	76	6	)	)	PUNCT
ap-6132	76	7	,	,	PUNCT
ap-6132	76	8	choosing	choose	VERB
ap-6132	76	9	a	a	DET
ap-6132	76	10	large	large	ADJ
ap-6132	76	11	learning	learning	NOUN
ap-6132	76	12	rate	rate	NOUN
ap-6132	76	13	(	(	PUNCT
ap-6132	76	14	close	close	ADJ
ap-6132	76	15	to	to	PART
ap-6132	76	16	1	1	NUM
ap-6132	76	17	)	)	PUNCT
ap-6132	76	18	,	,	PUNCT
ap-6132	76	19	allows	allow	VERB
ap-6132	76	20	for	for	ADP
ap-6132	76	21	oscillations	oscillation	NOUN
ap-6132	76	22	.	.	PUNCT
ap-6132	77	1	this	this	PRON
ap-6132	77	2	makes	make	VERB
ap-6132	77	3	the	the	DET
ap-6132	77	4	error	error	NOUN
ap-6132	77	5	fall	fall	VERB
ap-6132	77	6	above	above	ADP
ap-6132	77	7	the	the	DET
ap-6132	77	8	specified	specified	ADJ
ap-6132	77	9	tolerance	tolerance	NOUN
ap-6132	77	10	value	value	NOUN
ap-6132	77	11	and	and	CCONJ
ap-6132	77	12	lessens	lessen	VERB
ap-6132	77	13	the	the	DET
ap-6132	77	14	identification	identification	NOUN
ap-6132	77	15	accuracy	accuracy	NOUN
ap-6132	77	16	.	.	PUNCT
ap-6132	78	1	conversely	conversely	ADV
ap-6132	78	2	,	,	PUNCT
ap-6132	78	3	in	in	ADP
ap-6132	78	4	case	case	NOUN
ap-6132	78	5	the	the	DET
ap-6132	78	6	learning	learning	NOUN
ap-6132	78	7	rate	rate	NOUN
ap-6132	78	8	(	(	PUNCT
ap-6132	78	9	ε	ε	PROPN
ap-6132	78	10	)	)	PUNCT
ap-6132	78	11	is	be	AUX
ap-6132	78	12	too	too	ADV
ap-6132	78	13	small	small	ADJ
ap-6132	78	14	(	(	PUNCT
ap-6132	78	15	close	close	ADJ
ap-6132	78	16	to	to	ADP
ap-6132	78	17	0	0	NUM
ap-6132	78	18	)	)	PUNCT
ap-6132	78	19	,	,	PUNCT
ap-6132	78	20	many	many	ADJ
ap-6132	78	21	steps	step	NOUN
ap-6132	78	22	are	be	AUX
ap-6132	78	23	needed	need	VERB
ap-6132	78	24	for	for	ADP
ap-6132	78	25	convergence	convergence	NOUN
ap-6132	78	26	of	of	ADP
ap-6132	78	27	the	the	DET
ap-6132	78	28	error	error	NOUN
ap-6132	78	29	function	function	NOUN
ap-6132	78	30	e.	e.	PROPN
ap-6132	78	31	to	to	PART
ap-6132	78	32	avoid	avoid	VERB
ap-6132	78	33	these	these	PRON
ap-6132	78	34	,	,	PUNCT
ap-6132	78	35	the	the	DET
ap-6132	78	36	backpropagation	backpropagation	NOUN
ap-6132	78	37	learning	learn	VERB
ap-6132	78	38	algorithm	algorithm	NOUN
ap-6132	78	39	is	be	AUX
ap-6132	78	40	expanded	expand	VERB
ap-6132	78	41	by	by	ADP
ap-6132	78	42	adding	add	VERB
ap-6132	78	43	the	the	DET
ap-6132	78	44	momentum	momentum	NOUN
ap-6132	78	45	parameter	parameter	NOUN
ap-6132	78	46	(	(	PUNCT
ap-6132	78	47	0	0	PUNCT
ap-6132	78	48	<	<	X
ap-6132	78	49	α	α	X
ap-6132	78	50	<	<	X
ap-6132	78	51	1	1	NUM
ap-6132	78	52	)	)	PUNCT
ap-6132	78	53	as	as	SCONJ
ap-6132	78	54	shown	show	VERB
ap-6132	78	55	in	in	ADP
ap-6132	78	56	equation	equation	NOUN
ap-6132	78	57	(	(	PUNCT
ap-6132	78	58	5	5	NUM
ap-6132	78	59	)	)	PUNCT
ap-6132	78	60	.	.	PUNCT
ap-6132	79	1	the	the	DET
ap-6132	79	2	addition	addition	NOUN
ap-6132	79	3	of	of	ADP
ap-6132	79	4	the	the	DET
ap-6132	79	5	momentum	momentum	NOUN
ap-6132	79	6	parameter	parameter	NOUN
ap-6132	79	7	also	also	ADV
ap-6132	79	8	accelerates	accelerate	VERB
ap-6132	79	9	the	the	DET
ap-6132	79	10	convergence	convergence	NOUN
ap-6132	79	11	of	of	ADP
ap-6132	79	12	error	error	NOUN
ap-6132	79	13	function	function	NOUN
ap-6132	79	14	[	[	X
ap-6132	79	15	28	28	NUM
ap-6132	79	16	]	]	PUNCT
ap-6132	79	17	.	.	PUNCT
ap-6132	80	1	∆w(t+1	∆w(t+1	NOUN
ap-6132	80	2	)	)	PUNCT
ap-6132	81	1	ij	ij	NOUN
ap-6132	82	1	=	=	PUNCT
ap-6132	82	2	−ε	−ε	PROPN
ap-6132	82	3	∂e	∂e	PROPN
ap-6132	82	4	∂wij	∂wij	NOUN
ap-6132	82	5	(	(	PUNCT
ap-6132	82	6	t	t	PROPN
ap-6132	82	7	)	)	PUNCT
ap-6132	82	8	+	+	SYM
ap-6132	82	9	α∆w(t−1	α∆w(t−1	SYM
ap-6132	82	10	)	)	PUNCT
ap-6132	82	11	ij	ij	NOUN
ap-6132	82	12	(	(	PUNCT
ap-6132	82	13	5	5	NUM
ap-6132	82	14	)	)	PUNCT
ap-6132	82	15	where	where	SCONJ
ap-6132	82	16	it	it	PRON
ap-6132	82	17	measures	measure	VERB
ap-6132	82	18	the	the	DET
ap-6132	82	19	effect	effect	NOUN
ap-6132	82	20	of	of	ADP
ap-6132	82	21	the	the	DET
ap-6132	82	22	previous	previous	ADJ
ap-6132	82	23	step	step	NOUN
ap-6132	82	24	on	on	ADP
ap-6132	82	25	the	the	DET
ap-6132	82	26	current	current	ADJ
ap-6132	82	27	one	one	NUM
ap-6132	82	28	.	.	PUNCT
ap-6132	83	1	to	to	PART
ap-6132	83	2	activate	activate	VERB
ap-6132	83	3	neurons	neuron	NOUN
ap-6132	83	4	in	in	ADP
ap-6132	83	5	the	the	DET
ap-6132	83	6	hidden	hide	VERB
ap-6132	83	7	and	and	CCONJ
ap-6132	83	8	output	output	NOUN
ap-6132	83	9	layers	layer	NOUN
ap-6132	83	10	,	,	PUNCT
ap-6132	83	11	the	the	DET
ap-6132	83	12	sigmoid	sigmoid	NOUN
ap-6132	83	13	activation	activation	NOUN
ap-6132	83	14	function	function	NOUN
ap-6132	83	15	is	be	AUX
ap-6132	83	16	used	use	VERB
ap-6132	83	17	.	.	PUNCT
ap-6132	84	1	three	three	NUM
ap-6132	84	2	essential	essential	ADJ
ap-6132	84	3	properties	property	NOUN
ap-6132	84	4	used	use	VERB
ap-6132	84	5	in	in	ADP
ap-6132	84	6	backpropagation	backpropagation	NOUN
ap-6132	84	7	and	and	CCONJ
ap-6132	84	8	resilient	resilient	ADJ
ap-6132	84	9	propagation	propagation	NOUN
ap-6132	84	10	include	include	VERB
ap-6132	84	11	bounded	bound	VERB
ap-6132	84	12	,	,	PUNCT
ap-6132	84	13	monotonic	monotonic	ADJ
ap-6132	84	14	and	and	CCONJ
ap-6132	84	15	continuously	continuously	ADV
ap-6132	84	16	differentiable	differentiable	ADJ
ap-6132	84	17	.	.	PUNCT
ap-6132	85	1	this	this	PRON
ap-6132	85	2	helps	help	VERB
ap-6132	85	3	to	to	PART
ap-6132	85	4	convert	convert	VERB
ap-6132	85	5	a	a	DET
ap-6132	85	6	weighted	weight	VERB
ap-6132	85	7	amount	amount	NOUN
ap-6132	85	8	of	of	ADP
ap-6132	85	9	input	input	NOUN
ap-6132	85	10	into	into	ADP
ap-6132	85	11	an	an	DET
ap-6132	85	12	output	output	NOUN
ap-6132	85	13	signal	signal	NOUN
ap-6132	85	14	for	for	ADP
ap-6132	85	15	each	each	DET
ap-6132	85	16	neuron	neuron	NOUN
ap-6132	85	17	i	i	PRON
ap-6132	85	18	as	as	SCONJ
ap-6132	85	19	shown	show	VERB
ap-6132	85	20	by	by	ADP
ap-6132	85	21	equation	equation	NOUN
ap-6132	85	22	(	(	PUNCT
ap-6132	85	23	6	6	NUM
ap-6132	85	24	)	)	PUNCT
ap-6132	85	25	[	[	X
ap-6132	85	26	29	29	NUM
ap-6132	85	27	]	]	PUNCT
ap-6132	85	28	.	.	PUNCT
ap-6132	86	1	oi	oi	NOUN
ap-6132	86	2	=	=	SYM
ap-6132	86	3	f(ii	f(ii	PROPN
ap-6132	86	4	)	)	PUNCT
ap-6132	86	5	=	=	SYM
ap-6132	86	6	1	1	NUM
ap-6132	86	7	1	1	NUM
ap-6132	86	8	+	+	NUM
ap-6132	86	9	e−σii	e−σii	NOUN
ap-6132	86	10	.	.	PUNCT
ap-6132	87	1	(	(	PUNCT
ap-6132	87	2	6	6	NUM
ap-6132	87	3	)	)	PUNCT
ap-6132	87	4	where	where	SCONJ
ap-6132	87	5	ii	ii	NOUN
ap-6132	87	6	is	be	AUX
ap-6132	87	7	the	the	DET
ap-6132	87	8	input	input	NOUN
ap-6132	87	9	of	of	ADP
ap-6132	87	10	i	i	PRON
ap-6132	87	11	-	-	PUNCT
ap-6132	87	12	th	th	X
ap-6132	87	13	weighted	weight	VERB
ap-6132	87	14	number	number	NOUN
ap-6132	87	15	of	of	ADP
ap-6132	87	16	neuron	neuron	PROPN
ap-6132	87	17	,	,	PUNCT
ap-6132	87	18	σ	σ	PROPN
ap-6132	87	19	the	the	DET
ap-6132	87	20	slope	slope	NOUN
ap-6132	87	21	parameter	parameter	NOUN
ap-6132	87	22	of	of	ADP
ap-6132	87	23	the	the	DET
ap-6132	87	24	sigmoid	sigmoid	NOUN
ap-6132	87	25	activation	activation	NOUN
ap-6132	87	26	function	function	NOUN
ap-6132	87	27	and	and	CCONJ
ap-6132	87	28	oi	oi	INTJ
ap-6132	87	29	the	the	DET
ap-6132	87	30	output	output	NOUN
ap-6132	87	31	of	of	ADP
ap-6132	87	32	i	i	PROPN
ap-6132	87	33	-	-	PUNCT
ap-6132	87	34	th	th	NUM
ap-6132	87	35	neuron	neuron	NOUN
ap-6132	87	36	.	.	PUNCT
ap-6132	88	1	the	the	DET
ap-6132	88	2	threshold	threshold	NOUN
ap-6132	88	3	used	use	VERB
ap-6132	88	4	on	on	ADP
ap-6132	88	5	the	the	DET
ap-6132	88	6	output	output	NOUN
ap-6132	88	7	layer	layer	NOUN
ap-6132	88	8	for	for	ADP
ap-6132	88	9	the	the	DET
ap-6132	88	10	sigmoid	sigmoid	NOUN
ap-6132	88	11	activation	activation	NOUN
ap-6132	88	12	function	function	NOUN
ap-6132	88	13	is	be	AUX
ap-6132	88	14	oi	oi	ADJ
ap-6132	88	15	=	=	PUNCT
ap-6132	88	16	{	{	PUNCT
ap-6132	88	17	1	1	NUM
ap-6132	88	18	,	,	PUNCT
ap-6132	88	19	if	if	SCONJ
ap-6132	88	20	oi	oi	ADV
ap-6132	88	21	≥	≥	NOUN
ap-6132	88	22	0.5	0.5	NUM
ap-6132	88	23	0	0	NUM
ap-6132	88	24	,	,	PUNCT
ap-6132	88	25	if	if	SCONJ
ap-6132	88	26	oi	oi	ADV
ap-6132	88	27	<	<	X
ap-6132	88	28	0.5	0.5	NUM
ap-6132	88	29	.	.	PUNCT
ap-6132	89	1	(	(	PUNCT
ap-6132	89	2	7	7	X
ap-6132	89	3	)	)	PUNCT
ap-6132	89	4	the	the	DET
ap-6132	89	5	weighted	weight	VERB
ap-6132	89	6	amount	amount	NOUN
ap-6132	89	7	input	input	NOUN
ap-6132	89	8	is	be	AUX
ap-6132	89	9	given	give	VERB
ap-6132	89	10	in	in	ADP
ap-6132	89	11	the	the	DET
ap-6132	89	12	following	follow	VERB
ap-6132	89	13	equation	equation	NOUN
ap-6132	89	14	[	[	X
ap-6132	89	15	29	29	NUM
ap-6132	89	16	]	]	PUNCT
ap-6132	89	17	.	.	PUNCT
ap-6132	90	1	n∑	n∑	INTJ
ap-6132	90	2	i=1	i=1	PROPN
ap-6132	91	1	wijoi	wijoi	X
ap-6132	92	1	+	+	CCONJ
ap-6132	92	2	wbjob	wbjob	NOUN
ap-6132	92	3	.	.	PUNCT
ap-6132	93	1	(	(	PUNCT
ap-6132	93	2	8)	8)	NUM
ap-6132	93	3	the	the	DET
ap-6132	93	4	sum	sum	NOUN
ap-6132	93	5	of	of	ADP
ap-6132	93	6	i	i	PRON
ap-6132	93	7	represents	represent	VERB
ap-6132	93	8	the	the	DET
ap-6132	93	9	input	input	NOUN
ap-6132	93	10	received	receive	VERB
ap-6132	93	11	from	from	ADP
ap-6132	93	12	all	all	DET
ap-6132	93	13	neurons	neuron	NOUN
ap-6132	93	14	in	in	ADP
ap-6132	93	15	the	the	DET
ap-6132	93	16	input	input	NOUN
ap-6132	93	17	layer	layer	NOUN
ap-6132	93	18	,	,	PUNCT
ap-6132	93	19	while	while	SCONJ
ap-6132	93	20	b	b	NOUN
ap-6132	93	21	is	be	AUX
ap-6132	93	22	the	the	DET
ap-6132	93	23	bias	bias	NOUN
ap-6132	93	24	neuron	neuron	PROPN
ap-6132	93	25	.	.	PUNCT
ap-6132	94	1	weight	weight	NOUN
ap-6132	94	2	wij	wij	PROPN
ap-6132	94	3	is	be	AUX
ap-6132	94	4	associated	associate	VERB
ap-6132	94	5	with	with	ADP
ap-6132	94	6	connections	connection	NOUN
ap-6132	94	7	from	from	ADP
ap-6132	94	8	i	i	PROPN
ap-6132	94	9	-	-	PUNCT
ap-6132	94	10	th	th	X
ap-6132	94	11	neuron	neuron	NOUN
ap-6132	94	12	to	to	ADP
ap-6132	94	13	j	j	PROPN
ap-6132	94	14	-	-	PUNCT
ap-6132	94	15	th	th	VERB
ap-6132	94	16	neuron	neuron	NOUN
ap-6132	94	17	,	,	PUNCT
ap-6132	94	18	while	while	SCONJ
ap-6132	94	19	wbj	wbj	VERB
ap-6132	94	20	weight	weight	NOUN
ap-6132	94	21	relates	relate	VERB
ap-6132	94	22	to	to	ADP
ap-6132	94	23	the	the	DET
ap-6132	94	24	connections	connection	NOUN
ap-6132	94	25	from	from	ADP
ap-6132	94	26	the	the	DET
ap-6132	94	27	biased	biased	ADJ
ap-6132	94	28	to	to	ADP
ap-6132	94	29	j	j	PROPN
ap-6132	94	30	-	-	PUNCT
ap-6132	94	31	th	th	VERB
ap-6132	94	32	neuron	neuron	NOUN
ap-6132	94	33	.	.	PUNCT
ap-6132	95	1	the	the	DET
ap-6132	95	2	weighted	weight	VERB
ap-6132	95	3	amount	amount	NOUN
ap-6132	95	4	obtained	obtain	VERB
ap-6132	95	5	in	in	ADP
ap-6132	95	6	the	the	DET
ap-6132	95	7	hidden	hide	VERB
ap-6132	95	8	and	and	CCONJ
ap-6132	95	9	the	the	DET
ap-6132	95	10	output	output	NOUN
ap-6132	95	11	layers	layer	NOUN
ap-6132	95	12	are	be	AUX
ap-6132	95	13	activated	activate	VERB
ap-6132	95	14	by	by	ADP
ap-6132	95	15	substituting	substitute	VERB
ap-6132	95	16	the	the	DET
ap-6132	95	17	weighted	weight	VERB
ap-6132	95	18	amount	amount	NOUN
ap-6132	95	19	from	from	ADP
ap-6132	95	20	equation	equation	NOUN
ap-6132	95	21	(	(	PUNCT
ap-6132	95	22	8)	8)	NUM
ap-6132	95	23	to	to	PART
ap-6132	95	24	be	be	AUX
ap-6132	95	25	an	an	DET
ap-6132	95	26	exponent	exponent	NOUN
ap-6132	95	27	in	in	ADP
ap-6132	95	28	equation	equation	NOUN
ap-6132	95	29	(	(	PUNCT
ap-6132	95	30	6	6	NUM
ap-6132	95	31	)	)	PUNCT
ap-6132	95	32	.	.	PUNCT
ap-6132	96	1	2.3.2	2.3.2	NUM
ap-6132	96	2	.	.	PUNCT
ap-6132	97	1	resilient	resilient	ADJ
ap-6132	97	2	propagation	propagation	NOUN
ap-6132	97	3	learning	learn	VERB
ap-6132	97	4	algorithm	algorithm	NOUN
ap-6132	97	5	riedmiller	riedmiller	NOUN
ap-6132	97	6	et	et	PROPN
ap-6132	97	7	al	al	PROPN
ap-6132	97	8	.	.	PUNCT
ap-6132	98	1	in	in	ADP
ap-6132	98	2	[	[	X
ap-6132	98	3	28	28	NUM
ap-6132	98	4	]	]	PUNCT
ap-6132	98	5	proposed	propose	VERB
ap-6132	98	6	a	a	DET
ap-6132	98	7	resilient	resilient	ADJ
ap-6132	98	8	propagation	propagation	NOUN
ap-6132	98	9	learning	learn	VERB
ap-6132	98	10	algorithm	algorithm	NOUN
ap-6132	98	11	developed	develop	VERB
ap-6132	98	12	by	by	ADP
ap-6132	98	13	the	the	DET
ap-6132	98	14	backpropagation	backpropagation	NOUN
ap-6132	98	15	algorithm	algorithm	NOUN
ap-6132	98	16	.	.	PUNCT
ap-6132	99	1	the	the	DET
ap-6132	99	2	algorithm	algorithm	NOUN
ap-6132	99	3	directly	directly	ADV
ap-6132	99	4	adapts	adapt	VERB
ap-6132	99	5	to	to	ADP
ap-6132	99	6	the	the	DET
ap-6132	99	7	441	441	NUM
ap-6132	99	8	rustam	rustam	NOUN
ap-6132	99	9	,	,	PUNCT
ap-6132	99	10	a.	a.	PROPN
ap-6132	99	11	y.	y.	PROPN
ap-6132	99	12	gunawan	gunawan	PROPN
ap-6132	99	13	,	,	PUNCT
ap-6132	99	14	m.	m.	NOUN
ap-6132	99	15	t.	t.	PROPN
ap-6132	99	16	a.	a.	PROPN
ap-6132	99	17	p.	p.	PROPN
ap-6132	99	18	kresnowati	kresnowati	PROPN
ap-6132	99	19	acta	acta	PROPN
ap-6132	99	20	polytechnica	polytechnica	PROPN
ap-6132	99	21	weight	weight	NOUN
ap-6132	99	22	value	value	NOUN
ap-6132	99	23	based	base	VERB
ap-6132	99	24	on	on	ADP
ap-6132	99	25	the	the	DET
ap-6132	99	26	local	local	ADJ
ap-6132	99	27	gradient	gradient	NOUN
ap-6132	99	28	information	information	NOUN
ap-6132	99	29	.	.	PUNCT
ap-6132	100	1	riedmiller	riedmiller	INTJ
ap-6132	100	2	et	et	PROPN
ap-6132	100	3	al	al	PROPN
ap-6132	100	4	.	.	PUNCT
ap-6132	101	1	[	[	X
ap-6132	101	2	28	28	NUM
ap-6132	101	3	]	]	PUNCT
ap-6132	101	4	introduced	introduce	VERB
ap-6132	101	5	an	an	DET
ap-6132	101	6	update	update	NOUN
ap-6132	101	7	value	value	NOUN
ap-6132	101	8	∆ij	∆ij	NOUN
ap-6132	101	9	for	for	ADP
ap-6132	101	10	each	each	DET
ap-6132	101	11	weight	weight	NOUN
ap-6132	101	12	determining	determine	VERB
ap-6132	101	13	the	the	DET
ap-6132	101	14	size	size	NOUN
ap-6132	101	15	of	of	ADP
ap-6132	101	16	the	the	DET
ap-6132	101	17	weight	weight	NOUN
ap-6132	101	18	update	update	NOUN
ap-6132	101	19	.	.	PUNCT
ap-6132	102	1	the	the	DET
ap-6132	102	2	adaptive	adaptive	ADJ
ap-6132	102	3	update	update	NOUN
ap-6132	102	4	value	value	NOUN
ap-6132	102	5	evolves	evolve	VERB
ap-6132	102	6	during	during	ADP
ap-6132	102	7	the	the	DET
ap-6132	102	8	learning	learning	NOUN
ap-6132	102	9	process	process	NOUN
ap-6132	102	10	based	base	VERB
ap-6132	102	11	on	on	ADP
ap-6132	102	12	its	its	PRON
ap-6132	102	13	local	local	ADJ
ap-6132	102	14	sight	sight	NOUN
ap-6132	102	15	on	on	ADP
ap-6132	102	16	the	the	DET
ap-6132	102	17	error	error	NOUN
ap-6132	102	18	function	function	NOUN
ap-6132	102	19	e	e	NOUN
ap-6132	102	20	,	,	PUNCT
ap-6132	102	21	according	accord	VERB
ap-6132	102	22	to	to	ADP
ap-6132	102	23	the	the	DET
ap-6132	102	24	following	follow	VERB
ap-6132	102	25	learning	learn	VERB
ap-6132	102	26	rule	rule	NOUN
ap-6132	102	27	[	[	X
ap-6132	102	28	28	28	NUM
ap-6132	102	29	]	]	X
ap-6132	102	30	:	:	PUNCT
ap-6132	102	31	∆t	∆t	PROPN
ap-6132	102	32	ij	ij	NOUN
ap-6132	102	33	=	=	SYM
ap-6132	102	34			X
ap-6132	102	35	η+	η+	X
ap-6132	102	36	∗∆(t−1	∗∆(t−1	NOUN
ap-6132	102	37	)	)	PUNCT
ap-6132	102	38	ij	ij	INTJ
ap-6132	102	39	,	,	PUNCT
ap-6132	102	40	if	if	SCONJ
ap-6132	102	41	∂e	∂e	PROPN
ap-6132	102	42	∂wij	∂wij	PART
ap-6132	102	43	(	(	PUNCT
ap-6132	102	44	t−1	t−1	NOUN
ap-6132	102	45	)	)	PUNCT
ap-6132	102	46	∗	∗	NOUN
ap-6132	102	47	∂e	∂e	PROPN
ap-6132	102	48	∂wij	∂wij	NOUN
ap-6132	102	49	(	(	PUNCT
ap-6132	102	50	t	t	PROPN
ap-6132	102	51	)	)	PUNCT
ap-6132	102	52	>	>	X
ap-6132	102	53	0	0	NUM
ap-6132	102	54	η−	η−	NOUN
ap-6132	102	55	∗∆(t−1	∗∆(t−1	NOUN
ap-6132	102	56	)	)	PUNCT
ap-6132	103	1	ij	ij	INTJ
ap-6132	103	2	,	,	PUNCT
ap-6132	103	3	if	if	SCONJ
ap-6132	103	4	∂e	∂e	PROPN
ap-6132	103	5	∂wij	∂wij	PART
ap-6132	103	6	(	(	PUNCT
ap-6132	103	7	t−1	t−1	NOUN
ap-6132	103	8	)	)	PUNCT
ap-6132	103	9	∗	∗	NOUN
ap-6132	103	10	∂e	∂e	PROPN
ap-6132	103	11	∂wij	∂wij	NOUN
ap-6132	103	12	(	(	PUNCT
ap-6132	103	13	t	t	PROPN
ap-6132	103	14	)	)	PUNCT
ap-6132	103	15	<	<	X
ap-6132	103	16	0	0	PUNCT
ap-6132	103	17	∆(t−1	∆(t−1	PROPN
ap-6132	103	18	)	)	PUNCT
ap-6132	103	19	ij	ij	NOUN
ap-6132	103	20	,	,	PUNCT
ap-6132	103	21	else	else	ADV
ap-6132	103	22	(	(	PUNCT
ap-6132	103	23	9	9	NUM
ap-6132	103	24	)	)	PUNCT
ap-6132	103	25	where	where	SCONJ
ap-6132	103	26	(	(	PUNCT
ap-6132	103	27	0	0	NUM
ap-6132	103	28	<	<	X
ap-6132	103	29	η−	η−	PROPN
ap-6132	103	30	<	<	X
ap-6132	103	31	1	1	NUM
ap-6132	103	32	<	<	X
ap-6132	103	33	η+	η+	NOUN
ap-6132	103	34	)	)	PUNCT
ap-6132	103	35	η−	η−	NOUN
ap-6132	103	36	and	and	CCONJ
ap-6132	103	37	η+	η+	NUM
ap-6132	103	38	represents	represent	VERB
ap-6132	103	39	the	the	DET
ap-6132	103	40	decrease	decrease	NOUN
ap-6132	103	41	and	and	CCONJ
ap-6132	103	42	increase	increase	VERB
ap-6132	103	43	factors	factor	NOUN
ap-6132	103	44	,	,	PUNCT
ap-6132	103	45	respectively	respectively	ADV
ap-6132	103	46	.	.	PUNCT
ap-6132	104	1	according	accord	VERB
ap-6132	104	2	to	to	ADP
ap-6132	104	3	this	this	DET
ap-6132	104	4	adaptation	adaptation	NOUN
ap-6132	104	5	rule	rule	NOUN
ap-6132	104	6	,	,	PUNCT
ap-6132	104	7	every	every	DET
ap-6132	104	8	time	time	NOUN
ap-6132	104	9	the	the	DET
ap-6132	104	10	partial	partial	ADJ
ap-6132	104	11	derivative	derivative	NOUN
ap-6132	104	12	of	of	ADP
ap-6132	104	13	the	the	DET
ap-6132	104	14	corresponding	corresponding	ADJ
ap-6132	104	15	weight	weight	NOUN
ap-6132	104	16	wij	wij	PROPN
ap-6132	104	17	changes	change	VERB
ap-6132	104	18	its	its	PRON
ap-6132	104	19	sign	sign	NOUN
ap-6132	104	20	,	,	PUNCT
ap-6132	104	21	which	which	PRON
ap-6132	104	22	indicates	indicate	VERB
ap-6132	104	23	that	that	SCONJ
ap-6132	104	24	the	the	DET
ap-6132	104	25	last	last	ADJ
ap-6132	104	26	update	update	NOUN
ap-6132	104	27	is	be	AUX
ap-6132	104	28	too	too	ADV
ap-6132	104	29	big	big	ADJ
ap-6132	104	30	and	and	CCONJ
ap-6132	104	31	the	the	DET
ap-6132	104	32	algorithm	algorithm	NOUN
ap-6132	104	33	is	be	AUX
ap-6132	104	34	above	above	ADP
ap-6132	104	35	the	the	DET
ap-6132	104	36	local	local	ADJ
ap-6132	104	37	minimum	minimum	NOUN
ap-6132	104	38	,	,	PUNCT
ap-6132	104	39	the	the	DET
ap-6132	104	40	update	update	NOUN
ap-6132	104	41	value	value	NOUN
ap-6132	104	42	∆ij	∆ij	NOUN
ap-6132	104	43	is	be	AUX
ap-6132	104	44	decreased	decrease	VERB
ap-6132	104	45	by	by	ADP
ap-6132	104	46	the	the	DET
ap-6132	104	47	factor	factor	NOUN
ap-6132	104	48	η−.	η−.	NOUN
ap-6132	104	49	in	in	ADP
ap-6132	104	50	case	case	NOUN
ap-6132	104	51	the	the	DET
ap-6132	104	52	derivative	derivative	NOUN
ap-6132	104	53	retains	retain	VERB
ap-6132	104	54	its	its	PRON
ap-6132	104	55	sign	sign	NOUN
ap-6132	104	56	,	,	PUNCT
ap-6132	104	57	the	the	DET
ap-6132	104	58	update	update	NOUN
ap-6132	104	59	value	value	NOUN
ap-6132	104	60	slightly	slightly	ADV
ap-6132	104	61	increases	increase	VERB
ap-6132	104	62	to	to	PART
ap-6132	104	63	accelerate	accelerate	VERB
ap-6132	104	64	the	the	DET
ap-6132	104	65	convergence	convergence	NOUN
ap-6132	104	66	in	in	ADP
ap-6132	104	67	the	the	DET
ap-6132	104	68	shallow	shallow	ADJ
ap-6132	104	69	regions	region	NOUN
ap-6132	104	70	[	[	X
ap-6132	104	71	28	28	NUM
ap-6132	104	72	]	]	PUNCT
ap-6132	104	73	.	.	PUNCT
ap-6132	105	1	once	once	ADV
ap-6132	105	2	the	the	DET
ap-6132	105	3	update	update	NOUN
ap-6132	105	4	value	value	NOUN
ap-6132	105	5	for	for	ADP
ap-6132	105	6	each	each	DET
ap-6132	105	7	weight	weight	NOUN
ap-6132	105	8	is	be	AUX
ap-6132	105	9	adjusted	adjust	VERB
ap-6132	105	10	,	,	PUNCT
ap-6132	105	11	the	the	DET
ap-6132	105	12	update	update	NOUN
ap-6132	105	13	weight	weight	NOUN
ap-6132	105	14	itself	itself	PRON
ap-6132	105	15	follows	follow	VERB
ap-6132	105	16	the	the	DET
ap-6132	105	17	rule	rule	NOUN
ap-6132	105	18	stating	state	VERB
ap-6132	105	19	that	that	SCONJ
ap-6132	105	20	in	in	ADP
ap-6132	105	21	case	case	NOUN
ap-6132	105	22	the	the	DET
ap-6132	105	23	derivative	derivative	NOUN
ap-6132	105	24	is	be	AUX
ap-6132	105	25	positive	positive	ADJ
ap-6132	105	26	,	,	PUNCT
ap-6132	105	27	the	the	DET
ap-6132	105	28	weight	weight	NOUN
ap-6132	105	29	is	be	AUX
ap-6132	105	30	decreased	decrease	VERB
ap-6132	105	31	by	by	ADP
ap-6132	105	32	its	its	PRON
ap-6132	105	33	update	update	NOUN
ap-6132	105	34	value	value	NOUN
ap-6132	105	35	.	.	PUNCT
ap-6132	106	1	if	if	SCONJ
ap-6132	106	2	the	the	DET
ap-6132	106	3	derivative	derivative	NOUN
ap-6132	106	4	is	be	AUX
ap-6132	106	5	negative	negative	ADJ
ap-6132	106	6	,	,	PUNCT
ap-6132	106	7	the	the	DET
ap-6132	106	8	update	update	NOUN
ap-6132	106	9	value	value	NOUN
ap-6132	106	10	is	be	AUX
ap-6132	106	11	added	add	VERB
ap-6132	106	12	∆wtij	∆wtij	NOUN
ap-6132	106	13	=	=	PUNCT
ap-6132	107	1			PRON
ap-6132	107	2	−∆t−1	−∆t−1	VERB
ap-6132	107	3	ij	ij	INTJ
ap-6132	107	4	,	,	PUNCT
ap-6132	107	5	if	if	SCONJ
ap-6132	107	6	∂e	∂e	PROPN
ap-6132	107	7	∂wij	∂wij	PART
ap-6132	107	8	(	(	PUNCT
ap-6132	107	9	t	t	PROPN
ap-6132	107	10	)	)	PUNCT
ap-6132	107	11	>	>	X
ap-6132	107	12	0	0	PUNCT
ap-6132	108	1	+	+	NOUN
ap-6132	108	2	∆t−1	∆t−1	X
ap-6132	108	3	ij	ij	INTJ
ap-6132	108	4	,	,	PUNCT
ap-6132	108	5	if	if	SCONJ
ap-6132	108	6	∂e	∂e	PROPN
ap-6132	108	7	∂wij	∂wij	PART
ap-6132	108	8	(	(	PUNCT
ap-6132	108	9	t	t	PROPN
ap-6132	108	10	)	)	PUNCT
ap-6132	108	11	<	<	X
ap-6132	108	12	0	0	NUM
ap-6132	108	13	0	0	NUM
ap-6132	108	14	,	,	PUNCT
ap-6132	108	15	else	else	ADV
ap-6132	108	16	(	(	PUNCT
ap-6132	108	17	10	10	NUM
ap-6132	108	18	)	)	PUNCT
ap-6132	108	19	wt+1	wt+1	PROPN
ap-6132	108	20	ij	ij	INTJ
ap-6132	108	21	=	=	NOUN
ap-6132	108	22	wtij	wtij	NOUN
ap-6132	108	23	+	+	CCONJ
ap-6132	108	24	∆wtij	∆wtij	NUM
ap-6132	108	25	(	(	PUNCT
ap-6132	108	26	11	11	NUM
ap-6132	108	27	)	)	PUNCT
ap-6132	108	28	however	however	ADV
ap-6132	108	29	,	,	PUNCT
ap-6132	108	30	in	in	ADP
ap-6132	108	31	case	case	NOUN
ap-6132	108	32	the	the	DET
ap-6132	108	33	partial	partial	ADJ
ap-6132	108	34	derivative	derivative	ADJ
ap-6132	108	35	sign	sign	NOUN
ap-6132	108	36	changes	change	NOUN
ap-6132	108	37	,	,	PUNCT
ap-6132	108	38	which	which	PRON
ap-6132	108	39	means	mean	VERB
ap-6132	108	40	the	the	DET
ap-6132	108	41	previous	previous	ADJ
ap-6132	108	42	step	step	NOUN
ap-6132	108	43	was	be	AUX
ap-6132	108	44	too	too	ADV
ap-6132	108	45	large	large	ADJ
ap-6132	108	46	and	and	CCONJ
ap-6132	108	47	the	the	DET
ap-6132	108	48	minimum	minimum	NOUN
ap-6132	108	49	missed	miss	VERB
ap-6132	108	50	,	,	PUNCT
ap-6132	108	51	the	the	DET
ap-6132	108	52	previous	previous	ADJ
ap-6132	108	53	weight	weight	NOUN
ap-6132	108	54	update	update	NOUN
ap-6132	108	55	is	be	AUX
ap-6132	108	56	reverted	revert	VERB
ap-6132	108	57	:	:	PUNCT
ap-6132	108	58	∆w(t	∆w(t	NOUN
ap-6132	108	59	)	)	PUNCT
ap-6132	108	60	ij	ij	NOUN
ap-6132	108	61	=	=	PUNCT
ap-6132	109	1	−∆w(t−1	−∆w(t−1	NOUN
ap-6132	109	2	)	)	PUNCT
ap-6132	109	3	ij	ij	INTJ
ap-6132	109	4	,	,	PUNCT
ap-6132	109	5	if	if	SCONJ
ap-6132	109	6	∂e	∂e	PROPN
ap-6132	109	7	∂wij	∂wij	PART
ap-6132	109	8	(	(	PUNCT
ap-6132	109	9	t−1	t−1	NOUN
ap-6132	109	10	)	)	PUNCT
ap-6132	109	11	∗	∗	NOUN
ap-6132	109	12	∂e	∂e	PROPN
ap-6132	109	13	∂wij	∂wij	NOUN
ap-6132	109	14	(	(	PUNCT
ap-6132	109	15	t	t	NOUN
ap-6132	109	16	)	)	PUNCT
ap-6132	109	17	<	<	X
ap-6132	109	18	0	0	PUNCT
ap-6132	109	19	(	(	PUNCT
ap-6132	109	20	12	12	NUM
ap-6132	109	21	)	)	PUNCT
ap-6132	109	22	due	due	ADP
ap-6132	109	23	to	to	ADP
ap-6132	109	24	the	the	DET
ap-6132	109	25	’	'	PUNCT
ap-6132	109	26	backtracking	backtrack	VERB
ap-6132	109	27	’	'	PUNCT
ap-6132	109	28	weight	weight	NOUN
ap-6132	109	29	step	step	NOUN
ap-6132	109	30	,	,	PUNCT
ap-6132	109	31	the	the	DET
ap-6132	109	32	derivative	derivative	NOUN
ap-6132	109	33	should	should	AUX
ap-6132	109	34	change	change	VERB
ap-6132	109	35	its	its	PRON
ap-6132	109	36	sign	sign	NOUN
ap-6132	109	37	once	once	ADV
ap-6132	109	38	again	again	ADV
ap-6132	109	39	in	in	ADP
ap-6132	109	40	the	the	DET
ap-6132	109	41	next	next	ADJ
ap-6132	109	42	step	step	NOUN
ap-6132	109	43	.	.	PUNCT
ap-6132	110	1	to	to	PART
ap-6132	110	2	avoid	avoid	VERB
ap-6132	110	3	another	another	DET
ap-6132	110	4	problem	problem	NOUN
ap-6132	110	5	,	,	PUNCT
ap-6132	110	6	there	there	PRON
ap-6132	110	7	should	should	AUX
ap-6132	110	8	be	be	AUX
ap-6132	110	9	no	no	DET
ap-6132	110	10	adaptation	adaptation	NOUN
ap-6132	110	11	of	of	ADP
ap-6132	110	12	the	the	DET
ap-6132	110	13	update	update	NOUN
ap-6132	110	14	value	value	NOUN
ap-6132	110	15	in	in	ADP
ap-6132	110	16	the	the	DET
ap-6132	110	17	succeeding	succeed	VERB
ap-6132	110	18	step	step	NOUN
ap-6132	110	19	.	.	PUNCT
ap-6132	111	1	in	in	ADP
ap-6132	111	2	practice	practice	NOUN
ap-6132	111	3	,	,	PUNCT
ap-6132	111	4	this	this	PRON
ap-6132	111	5	can	can	AUX
ap-6132	111	6	be	be	AUX
ap-6132	111	7	carried	carry	VERB
ap-6132	111	8	out	out	ADP
ap-6132	111	9	by	by	ADP
ap-6132	111	10	setting	set	VERB
ap-6132	111	11	∂e	∂e	NOUN
ap-6132	111	12	∂wij	∂wij	NOUN
ap-6132	111	13	(	(	PUNCT
ap-6132	111	14	t−1	t−1	NOUN
ap-6132	111	15	)	)	PUNCT
ap-6132	111	16	=	=	SYM
ap-6132	112	1	0	0	NUM
ap-6132	112	2	in	in	ADP
ap-6132	112	3	the	the	DET
ap-6132	112	4	∆ij	∆ij	NOUN
ap-6132	112	5	adaptation	adaptation	NOUN
ap-6132	112	6	rule	rule	NOUN
ap-6132	112	7	.	.	PUNCT
ap-6132	113	1	the	the	DET
ap-6132	113	2	update	update	NOUN
ap-6132	113	3	values	value	NOUN
ap-6132	113	4	and	and	CCONJ
ap-6132	113	5	weights	weight	NOUN
ap-6132	113	6	are	be	AUX
ap-6132	113	7	changed	change	VERB
ap-6132	113	8	every	every	DET
ap-6132	113	9	time	time	NOUN
ap-6132	113	10	the	the	DET
ap-6132	113	11	whole	whole	ADJ
ap-6132	113	12	set	set	NOUN
ap-6132	113	13	of	of	ADP
ap-6132	113	14	patterns	pattern	NOUN
ap-6132	113	15	is	be	AUX
ap-6132	113	16	presented	present	VERB
ap-6132	113	17	to	to	ADP
ap-6132	113	18	the	the	DET
ap-6132	113	19	network	network	NOUN
ap-6132	113	20	once	once	ADV
ap-6132	113	21	(	(	PUNCT
ap-6132	113	22	learning	learn	VERB
ap-6132	113	23	by	by	ADP
ap-6132	113	24	epoch	epoch	NOUN
ap-6132	113	25	)	)	PUNCT
ap-6132	113	26	.	.	PUNCT
ap-6132	114	1	the	the	DET
ap-6132	114	2	following	following	NOUN
ap-6132	114	3	shows	show	VERB
ap-6132	114	4	the	the	DET
ap-6132	114	5	process	process	NOUN
ap-6132	114	6	of	of	ADP
ap-6132	114	7	adaptation	adaptation	NOUN
ap-6132	114	8	and	and	CCONJ
ap-6132	114	9	resilient	resilient	ADJ
ap-6132	114	10	propagation	propagation	NOUN
ap-6132	114	11	learning	learning	NOUN
ap-6132	114	12	process	process	NOUN
ap-6132	114	13	.	.	PUNCT
ap-6132	115	1	the	the	DET
ap-6132	115	2	minimum(maximum	minimum(maximum	PROPN
ap-6132	115	3	)	)	PUNCT
ap-6132	115	4	operator	operator	NOUN
ap-6132	115	5	is	be	AUX
ap-6132	115	6	expected	expect	VERB
ap-6132	115	7	to	to	PART
ap-6132	115	8	provide	provide	VERB
ap-6132	115	9	a	a	DET
ap-6132	115	10	minimum	minimum	NOUN
ap-6132	115	11	or	or	CCONJ
ap-6132	115	12	maximum	maximum	NOUN
ap-6132	115	13	of	of	ADP
ap-6132	115	14	two	two	NUM
ap-6132	115	15	numbers	number	NOUN
ap-6132	115	16	.	.	PUNCT
ap-6132	116	1	the	the	DET
ap-6132	116	2	sign	sign	NOUN
ap-6132	116	3	operator	operator	NOUN
ap-6132	116	4	returns	return	NOUN
ap-6132	116	5	+1	+1	PRON
ap-6132	116	6	if	if	SCONJ
ap-6132	116	7	the	the	DET
ap-6132	116	8	argument	argument	NOUN
ap-6132	116	9	is	be	AUX
ap-6132	116	10	positive	positive	ADJ
ap-6132	116	11	,	,	PUNCT
ap-6132	116	12	-1	-1	CCONJ
ap-6132	116	13	in	in	ADP
ap-6132	116	14	the	the	DET
ap-6132	116	15	case	case	NOUN
ap-6132	116	16	it	it	PRON
ap-6132	116	17	is	be	AUX
ap-6132	116	18	negative	negative	ADJ
ap-6132	116	19	,	,	PUNCT
ap-6132	116	20	and	and	CCONJ
ap-6132	116	21	0	0	NUM
ap-6132	116	22	for	for	ADP
ap-6132	116	23	otherwise	otherwise	ADV
ap-6132	116	24	.	.	PUNCT
ap-6132	117	1	for	for	ADP
ap-6132	117	2	each	each	DET
ap-6132	117	3	weight	weight	NOUN
ap-6132	117	4	and	and	CCONJ
ap-6132	117	5	bias	bias	NOUN
ap-6132	117	6	{	{	PUNCT
ap-6132	117	7	if	if	SCONJ
ap-6132	117	8	(	(	PUNCT
ap-6132	117	9	∂e	∂e	NOUN
ap-6132	117	10	∂wij	∂wij	PART
ap-6132	117	11	(	(	PUNCT
ap-6132	117	12	t−1	t−1	NOUN
ap-6132	117	13	)	)	PUNCT
ap-6132	117	14	∗	∗	NOUN
ap-6132	117	15	∂e	∂e	PROPN
ap-6132	117	16	∂wij	∂wij	NOUN
ap-6132	117	17	(	(	PUNCT
ap-6132	117	18	t	t	PROPN
ap-6132	117	19	)	)	PUNCT
ap-6132	117	20	>	>	X
ap-6132	117	21	0	0	NUM
ap-6132	117	22	)	)	PUNCT
ap-6132	117	23	then	then	ADV
ap-6132	117	24	{	{	PUNCT
ap-6132	117	25	∆(t	∆(t	NOUN
ap-6132	117	26	)	)	PUNCT
ap-6132	117	27	ij	ij	NOUN
ap-6132	117	28	=	=	SYM
ap-6132	117	29	minimum(∆(t−1	minimum(∆(t−1	PROPN
ap-6132	117	30	)	)	PUNCT
ap-6132	117	31	ij	ij	NOUN
ap-6132	117	32	∗	∗	NOUN
ap-6132	117	33	η+,∆max	η+,∆max	NUM
ap-6132	117	34	)	)	PUNCT
ap-6132	117	35	∆w(t	∆w(t	PROPN
ap-6132	117	36	)	)	PUNCT
ap-6132	117	37	ij	ij	NOUN
ap-6132	117	38	=	=	NOUN
ap-6132	117	39	sign	sign	PROPN
ap-6132	117	40	(	(	PUNCT
ap-6132	117	41	∂e	∂e	NOUN
ap-6132	117	42	∂wij	∂wij	PROPN
ap-6132	117	43	(	(	PUNCT
ap-6132	117	44	t	t	NOUN
ap-6132	117	45	)	)	PUNCT
ap-6132	117	46	∗∆(t	∗∆(t	NOUN
ap-6132	117	47	)	)	PUNCT
ap-6132	117	48	ij	ij	NOUN
ap-6132	117	49	)	)	PUNCT
ap-6132	117	50	w	w	PROPN
ap-6132	117	51	(	(	PUNCT
ap-6132	117	52	t+1	t+1	NOUN
ap-6132	117	53	)	)	PUNCT
ap-6132	117	54	ij	ij	NOUN
ap-6132	117	55	=	=	SYM
ap-6132	117	56	w	w	PROPN
ap-6132	117	57	(	(	PUNCT
ap-6132	117	58	t	t	PROPN
ap-6132	117	59	)	)	PUNCT
ap-6132	117	60	ij	ij	NOUN
ap-6132	117	61	+	+	CCONJ
ap-6132	117	62	∆w(t	∆w(t	NOUN
ap-6132	117	63	)	)	PUNCT
ap-6132	117	64	ij	ij	INTJ
ap-6132	117	65	}	}	PUNCT
ap-6132	117	66	else	else	ADV
ap-6132	117	67	if	if	SCONJ
ap-6132	117	68	(	(	PUNCT
ap-6132	117	69	∂e	∂e	NOUN
ap-6132	117	70	∂wij	∂wij	PART
ap-6132	117	71	(	(	PUNCT
ap-6132	117	72	t−1	t−1	NOUN
ap-6132	117	73	)	)	PUNCT
ap-6132	117	74	∗	∗	NOUN
ap-6132	117	75	∂e	∂e	PROPN
ap-6132	117	76	∂wij	∂wij	NOUN
ap-6132	117	77	(	(	PUNCT
ap-6132	117	78	t	t	NOUN
ap-6132	117	79	)	)	PUNCT
ap-6132	117	80	<	<	X
ap-6132	117	81	0	0	NUM
ap-6132	117	82	)	)	PUNCT
ap-6132	117	83	then	then	ADV
ap-6132	117	84	{	{	PUNCT
ap-6132	117	85	∆(t	∆(t	NOUN
ap-6132	117	86	)	)	PUNCT
ap-6132	117	87	ij	ij	NOUN
ap-6132	117	88	=	=	PROPN
ap-6132	117	89	maximum(∆(t−1	maximum(∆(t−1	PROPN
ap-6132	117	90	)	)	PUNCT
ap-6132	117	91	ij	ij	NOUN
ap-6132	117	92	∗	∗	X
ap-6132	117	93	η−,∆min	η−,∆min	NOUN
ap-6132	117	94	)	)	PUNCT
ap-6132	117	95	w	w	PROPN
ap-6132	117	96	(	(	PUNCT
ap-6132	117	97	t+1	t+1	NOUN
ap-6132	117	98	)	)	PUNCT
ap-6132	117	99	ij	ij	NOUN
ap-6132	117	100	=	=	SYM
ap-6132	117	101	w	w	PROPN
ap-6132	117	102	(	(	PUNCT
ap-6132	117	103	t	t	PROPN
ap-6132	117	104	)	)	PUNCT
ap-6132	117	105	ij	ij	NOUN
ap-6132	117	106	−∆w(t−1	−∆w(t−1	NOUN
ap-6132	117	107	)	)	PUNCT
ap-6132	117	108	ij	ij	INTJ
ap-6132	117	109	∂e	∂e	PROPN
ap-6132	117	110	∂wij	∂wij	PROPN
ap-6132	117	111	(	(	PUNCT
ap-6132	117	112	t	t	NOUN
ap-6132	117	113	)	)	PUNCT
ap-6132	117	114	=	=	SYM
ap-6132	117	115	0	0	X
ap-6132	117	116	}	}	PUNCT
ap-6132	117	117	if	if	SCONJ
ap-6132	117	118	(	(	PUNCT
ap-6132	117	119	∂e	∂e	NOUN
ap-6132	117	120	∂wij	∂wij	PART
ap-6132	117	121	(	(	PUNCT
ap-6132	117	122	t−1	t−1	NOUN
ap-6132	117	123	)	)	PUNCT
ap-6132	117	124	∗	∗	NOUN
ap-6132	117	125	∂e	∂e	PROPN
ap-6132	117	126	∂wij	∂wij	NOUN
ap-6132	117	127	(	(	PUNCT
ap-6132	117	128	t	t	NOUN
ap-6132	117	129	)	)	PUNCT
ap-6132	117	130	=	=	SYM
ap-6132	117	131	0	0	X
ap-6132	117	132	)	)	PUNCT
ap-6132	117	133	then	then	ADV
ap-6132	117	134	{	{	PUNCT
ap-6132	117	135	∆w(t	∆w(t	NOUN
ap-6132	117	136	)	)	PUNCT
ap-6132	117	137	ij	ij	NOUN
ap-6132	117	138	=	=	PUNCT
ap-6132	117	139	−sign	−sign	PROPN
ap-6132	117	140	(	(	PUNCT
ap-6132	117	141	∂e	∂e	NOUN
ap-6132	117	142	∂wij	∂wij	PART
ap-6132	117	143	(	(	PUNCT
ap-6132	117	144	t	t	NOUN
ap-6132	117	145	)	)	PUNCT
ap-6132	117	146	∗∆(t	∗∆(t	NOUN
ap-6132	117	147	)	)	PUNCT
ap-6132	117	148	ij	ij	NOUN
ap-6132	117	149	)	)	PUNCT
ap-6132	117	150	w	w	PROPN
ap-6132	117	151	(	(	PUNCT
ap-6132	117	152	t+1	t+1	NOUN
ap-6132	117	153	)	)	PUNCT
ap-6132	117	154	ij	ij	NOUN
ap-6132	117	155	=	=	SYM
ap-6132	117	156	w	w	PROPN
ap-6132	117	157	(	(	PUNCT
ap-6132	117	158	t	t	PROPN
ap-6132	117	159	)	)	PUNCT
ap-6132	117	160	ij	ij	NOUN
ap-6132	117	161	+	+	CCONJ
ap-6132	117	162	∆w(t	∆w(t	NOUN
ap-6132	117	163	)	)	PUNCT
ap-6132	117	164	ij	ij	INTJ
ap-6132	117	165	}	}	PUNCT
ap-6132	117	166	}	}	PUNCT
ap-6132	117	167	3	3	X
ap-6132	117	168	.	.	X
ap-6132	117	169	results	result	NOUN
ap-6132	117	170	and	and	CCONJ
ap-6132	117	171	discussions	discussion	NOUN
ap-6132	117	172	in	in	ADP
ap-6132	117	173	this	this	DET
ap-6132	117	174	study	study	NOUN
ap-6132	117	175	,	,	PUNCT
ap-6132	117	176	the	the	DET
ap-6132	117	177	percentage	percentage	NOUN
ap-6132	117	178	of	of	ADP
ap-6132	117	179	training	training	NOUN
ap-6132	117	180	and	and	CCONJ
ap-6132	117	181	testing	testing	NOUN
ap-6132	117	182	data	datum	NOUN
ap-6132	117	183	sets	set	NOUN
ap-6132	117	184	are	be	AUX
ap-6132	117	185	80	80	NUM
ap-6132	117	186	%	%	NOUN
ap-6132	117	187	and	and	CCONJ
ap-6132	117	188	20	20	NUM
ap-6132	117	189	%	%	NOUN
ap-6132	117	190	,	,	PUNCT
ap-6132	117	191	respectively	respectively	ADV
ap-6132	117	192	.	.	PUNCT
ap-6132	118	1	the	the	DET
ap-6132	118	2	metabolites	metabolite	NOUN
ap-6132	118	3	data	data	NOUN
ap-6132	118	4	sets	set	NOUN
ap-6132	118	5	in	in	ADP
ap-6132	118	6	matrix	matrix	NOUN
ap-6132	118	7	are	be	AUX
ap-6132	118	8	94×47	94×47	NOUN
ap-6132	118	9	.	.	PUNCT
ap-6132	119	1	out	out	ADP
ap-6132	119	2	of	of	ADP
ap-6132	119	3	94	94	NUM
ap-6132	119	4	rows	row	NOUN
ap-6132	119	5	,	,	PUNCT
ap-6132	119	6	75	75	NUM
ap-6132	119	7	were	be	AUX
ap-6132	119	8	chosen	choose	VERB
ap-6132	119	9	randomly	randomly	ADV
ap-6132	119	10	as	as	ADP
ap-6132	119	11	training	train	VERB
ap-6132	119	12	data	data	NOUN
ap-6132	119	13	sets	set	NOUN
ap-6132	119	14	,	,	PUNCT
ap-6132	119	15	while	while	SCONJ
ap-6132	119	16	the	the	DET
ap-6132	119	17	remaining	remain	VERB
ap-6132	119	18	were	be	AUX
ap-6132	119	19	used	use	VERB
ap-6132	119	20	as	as	ADP
ap-6132	119	21	testing	testing	NOUN
ap-6132	119	22	sets	set	NOUN
ap-6132	119	23	.	.	PUNCT
ap-6132	120	1	the	the	DET
ap-6132	120	2	selection	selection	NOUN
ap-6132	120	3	of	of	ADP
ap-6132	120	4	training	training	NOUN
ap-6132	120	5	data	datum	NOUN
ap-6132	120	6	sets	set	NOUN
ap-6132	120	7	is	be	AUX
ap-6132	120	8	carried	carry	VERB
ap-6132	120	9	out	out	ADP
ap-6132	120	10	randomly	randomly	ADV
ap-6132	120	11	30	30	NUM
ap-6132	120	12	times	time	NOUN
ap-6132	120	13	.	.	PUNCT
ap-6132	121	1	therefore	therefore	ADV
ap-6132	121	2	,	,	PUNCT
ap-6132	121	3	in	in	ADP
ap-6132	121	4	each	each	DET
ap-6132	121	5	network	network	NOUN
ap-6132	121	6	architecture	architecture	NOUN
ap-6132	121	7	,	,	PUNCT
ap-6132	121	8	there	there	PRON
ap-6132	121	9	are	be	VERB
ap-6132	121	10	30	30	NUM
ap-6132	121	11	values	value	NOUN
ap-6132	121	12	for	for	ADP
ap-6132	121	13	the	the	DET
ap-6132	121	14	percentage	percentage	NOUN
ap-6132	121	15	of	of	ADP
ap-6132	121	16	identification	identification	NOUN
ap-6132	121	17	accuracy	accuracy	NOUN
ap-6132	121	18	,	,	PUNCT
ap-6132	121	19	coefficient	coefficient	NOUN
ap-6132	121	20	of	of	ADP
ap-6132	121	21	determination	determination	NOUN
ap-6132	121	22	and	and	CCONJ
ap-6132	121	23	the	the	DET
ap-6132	121	24	mean	mean	ADJ
ap-6132	121	25	squared	square	VERB
ap-6132	121	26	error	error	NOUN
ap-6132	121	27	(	(	PUNCT
ap-6132	121	28	mse	mse	NOUN
ap-6132	121	29	)	)	PUNCT
ap-6132	121	30	.	.	PUNCT
ap-6132	122	1	the	the	DET
ap-6132	122	2	average	average	NOUN
ap-6132	122	3	is	be	AUX
ap-6132	122	4	chosen	choose	VERB
ap-6132	122	5	as	as	ADP
ap-6132	122	6	a	a	DET
ap-6132	122	7	representative	representative	NOUN
ap-6132	122	8	of	of	ADP
ap-6132	122	9	the	the	DET
ap-6132	122	10	30	30	NUM
ap-6132	122	11	values	value	NOUN
ap-6132	122	12	.	.	PUNCT
ap-6132	123	1	in	in	ADP
ap-6132	123	2	each	each	DET
ap-6132	123	3	network	network	NOUN
ap-6132	123	4	architecture	architecture	NOUN
ap-6132	123	5	,	,	PUNCT
ap-6132	123	6	learning	learn	VERB
ap-6132	123	7	rate	rate	NOUN
ap-6132	123	8	(	(	PUNCT
ap-6132	123	9	ε	ε	PROPN
ap-6132	123	10	)	)	PUNCT
ap-6132	123	11	0.9	0.9	NUM
ap-6132	123	12	,	,	PUNCT
ap-6132	123	13	momentum	momentum	NOUN
ap-6132	123	14	parameter	parameter	NOUN
ap-6132	123	15	(	(	PUNCT
ap-6132	123	16	α	α	NOUN
ap-6132	123	17	)	)	PUNCT
ap-6132	123	18	0.1	0.1	NUM
ap-6132	123	19	and	and	CCONJ
ap-6132	123	20	maximum	maximum	ADJ
ap-6132	123	21	epoch	epoch	NOUN
ap-6132	123	22	5000	5000	NUM
ap-6132	123	23	are	be	AUX
ap-6132	123	24	used	use	VERB
ap-6132	123	25	with	with	ADP
ap-6132	123	26	an	an	DET
ap-6132	123	27	error	error	NOUN
ap-6132	123	28	target	target	NOUN
ap-6132	123	29	of	of	ADP
ap-6132	123	30	10−3	10−3	NUM
ap-6132	123	31	.	.	PUNCT
ap-6132	124	1	in	in	ADP
ap-6132	124	2	this	this	DET
ap-6132	124	3	study	study	NOUN
ap-6132	124	4	,	,	PUNCT
ap-6132	124	5	each	each	DET
ap-6132	124	6	origin	origin	NOUN
ap-6132	124	7	is	be	AUX
ap-6132	124	8	represented	represent	VERB
ap-6132	124	9	by	by	ADP
ap-6132	124	10	a	a	DET
ap-6132	124	11	binary	binary	PROPN
ap-6132	124	12	code	code	NOUN
ap-6132	124	13	.	.	PUNCT
ap-6132	125	1	specifically	specifically	ADV
ap-6132	125	2	,	,	PUNCT
ap-6132	125	3	the	the	DET
ap-6132	125	4	binary	binary	PROPN
ap-6132	125	5	code	code	PROPN
ap-6132	125	6	for	for	ADP
ap-6132	125	7	the	the	DET
ap-6132	125	8	java	java	PROPN
ap-6132	125	9	origin	origin	NOUN
ap-6132	125	10	is	be	AUX
ap-6132	125	11	1000	1000	NUM
ap-6132	125	12	,	,	PUNCT
ap-6132	125	13	bali	bali	NOUN
ap-6132	125	14	0100	0100	NUM
ap-6132	125	15	,	,	PUNCT
ap-6132	125	16	manado	manado	PROPN
ap-6132	125	17	0010	0010	NUM
ap-6132	125	18	and	and	CCONJ
ap-6132	125	19	toli	toli	NOUN
ap-6132	125	20	-	-	PUNCT
ap-6132	125	21	toli	toli	PROPN
ap-6132	125	22	0001	0001	NUM
ap-6132	125	23	.	.	PUNCT
ap-6132	126	1	the	the	DET
ap-6132	126	2	calculation	calculation	NOUN
ap-6132	126	3	of	of	ADP
ap-6132	126	4	the	the	DET
ap-6132	126	5	identification	identification	NOUN
ap-6132	126	6	accuracy	accuracy	NOUN
ap-6132	126	7	and	and	CCONJ
ap-6132	126	8	mse	mse	NOUN
ap-6132	126	9	is	be	AUX
ap-6132	126	10	shown	show	VERB
ap-6132	126	11	in	in	ADP
ap-6132	126	12	equation	equation	NOUN
ap-6132	126	13	(	(	PUNCT
ap-6132	126	14	13	13	NUM
ap-6132	126	15	)	)	PUNCT
ap-6132	126	16	and	and	CCONJ
ap-6132	126	17	(	(	PUNCT
ap-6132	126	18	14	14	NUM
ap-6132	126	19	)	)	PUNCT
ap-6132	126	20	.	.	PUNCT
ap-6132	127	1	%	%	NOUN
ap-6132	127	2	accuracy	accuracy	NOUN
ap-6132	128	1	=	=	PRON
ap-6132	128	2	a	a	DET
ap-6132	128	3	k	k	PROPN
ap-6132	128	4	100	100	NUM
ap-6132	128	5	%	%	NOUN
ap-6132	128	6	(	(	PUNCT
ap-6132	128	7	13	13	NUM
ap-6132	128	8	)	)	PUNCT
ap-6132	128	9	where	where	SCONJ
ap-6132	128	10	a	a	PRON
ap-6132	128	11	is	be	AUX
ap-6132	128	12	the	the	DET
ap-6132	128	13	number	number	NOUN
ap-6132	128	14	of	of	ADP
ap-6132	128	15	origins	origin	NOUN
ap-6132	128	16	identified	identify	VERB
ap-6132	128	17	correctly	correctly	ADV
ap-6132	128	18	,	,	PUNCT
ap-6132	128	19	while	while	SCONJ
ap-6132	128	20	k	k	PROPN
ap-6132	128	21	is	be	AUX
ap-6132	128	22	the	the	DET
ap-6132	128	23	total	total	ADJ
ap-6132	128	24	number	number	NOUN
ap-6132	128	25	.	.	PUNCT
ap-6132	129	1	mse	mse	PROPN
ap-6132	129	2	calculated	calculate	VERB
ap-6132	129	3	by	by	ADP
ap-6132	129	4	the	the	DET
ap-6132	129	5	following	follow	VERB
ap-6132	129	6	equation	equation	NOUN
ap-6132	129	7	[	[	X
ap-6132	129	8	29	29	NUM
ap-6132	129	9	]	]	X
ap-6132	129	10	mse	mse	NOUN
ap-6132	129	11	=	=	SYM
ap-6132	129	12	1	1	NUM
ap-6132	129	13	m	m	NOUN
ap-6132	129	14	·	·	PUNCT
ap-6132	129	15	n	n	X
ap-6132	129	16	m∑	m∑	ADV
ap-6132	129	17	p=1	p=1	NOUN
ap-6132	130	1	n∑	n∑	NOUN
ap-6132	130	2	k=1	k=1	PROPN
ap-6132	131	1	(	(	PUNCT
ap-6132	131	2	tkp	tkp	PROPN
ap-6132	131	3	−okp)2	−okp)2	PROPN
ap-6132	131	4	.	.	PUNCT
ap-6132	132	1	(	(	PUNCT
ap-6132	132	2	14	14	NUM
ap-6132	132	3	)	)	PUNCT
ap-6132	132	4	442	442	NUM
ap-6132	132	5	vol	vol	NOUN
ap-6132	132	6	.	.	PUNCT
ap-6132	133	1	60	60	NUM
ap-6132	133	2	no	no	NOUN
ap-6132	133	3	.	.	PUNCT
ap-6132	134	1	5/2020	5/2020	NUM
ap-6132	134	2	artificial	artificial	ADJ
ap-6132	134	3	neural	neural	ADJ
ap-6132	134	4	network	network	NOUN
ap-6132	134	5	approach	approach	NOUN
ap-6132	134	6	for	for	ADP
ap-6132	134	7	the	the	DET
ap-6132	134	8	identification	identification	NOUN
ap-6132	134	9	.	.	PUNCT
ap-6132	134	10	.	.	PUNCT
ap-6132	134	11	.	.	PUNCT
ap-6132	135	1	where	where	SCONJ
ap-6132	135	2	tkp	tkp	PROPN
ap-6132	135	3	is	be	AUX
ap-6132	135	4	the	the	DET
ap-6132	135	5	desired	desire	VERB
ap-6132	135	6	target	target	NOUN
ap-6132	135	7	,	,	PUNCT
ap-6132	135	8	okp	okp	PRON
ap-6132	135	9	the	the	DET
ap-6132	135	10	network	network	NOUN
ap-6132	135	11	output	output	NOUN
ap-6132	135	12	and	and	CCONJ
ap-6132	135	13	p	p	X
ap-6132	135	14	the	the	DET
ap-6132	135	15	variable	variable	NOUN
ap-6132	135	16	corresponding	correspond	VERB
ap-6132	135	17	to	to	ADP
ap-6132	135	18	the	the	DET
ap-6132	135	19	number	number	NOUN
ap-6132	135	20	of	of	ADP
ap-6132	135	21	origins	origin	NOUN
ap-6132	135	22	.	.	PUNCT
ap-6132	136	1	the	the	DET
ap-6132	136	2	suitability	suitability	NOUN
ap-6132	136	3	between	between	ADP
ap-6132	136	4	the	the	DET
ap-6132	136	5	expected	expect	VERB
ap-6132	136	6	target	target	NOUN
ap-6132	136	7	and	and	CCONJ
ap-6132	136	8	network	network	NOUN
ap-6132	136	9	output	output	NOUN
ap-6132	136	10	was	be	AUX
ap-6132	136	11	evaluated	evaluate	VERB
ap-6132	136	12	based	base	VERB
ap-6132	136	13	on	on	ADP
ap-6132	136	14	the	the	DET
ap-6132	136	15	coefficient	coefficient	NOUN
ap-6132	136	16	of	of	ADP
ap-6132	136	17	determination	determination	NOUN
ap-6132	136	18	r2	r2	NOUN
ap-6132	136	19	.	.	PUNCT
ap-6132	137	1	it	it	PRON
ap-6132	137	2	was	be	AUX
ap-6132	137	3	calculated	calculate	VERB
ap-6132	137	4	using	use	VERB
ap-6132	137	5	the	the	DET
ap-6132	137	6	following	follow	VERB
ap-6132	137	7	equation	equation	NOUN
ap-6132	137	8	[	[	X
ap-6132	137	9	21	21	NUM
ap-6132	137	10	]	]	X
ap-6132	137	11	r2	r2	PROPN
ap-6132	137	12	=	=	SYM
ap-6132	138	1	1−	1−	NUM
ap-6132	138	2	1	1	NUM
ap-6132	138	3	n	n	NOUN
ap-6132	138	4	∑n	∑n	PROPN
ap-6132	138	5	k=1(tkp	k=1(tkp	PROPN
ap-6132	138	6	−okp)2	−okp)2	NOUN
ap-6132	138	7	1	1	NUM
ap-6132	138	8	n−1	n−1	PROPN
ap-6132	138	9	∑n	∑n	PROPN
ap-6132	138	10	k=1(tkp	k=1(tkp	NOUN
ap-6132	138	11	−	−	PROPN
ap-6132	138	12	tkp)2	tkp)2	PROPN
ap-6132	138	13	.	.	PUNCT
ap-6132	139	1	(	(	PUNCT
ap-6132	139	2	15	15	NUM
ap-6132	139	3	)	)	PUNCT
ap-6132	139	4	where	where	SCONJ
ap-6132	139	5	tkp	tkp	PROPN
ap-6132	139	6	is	be	AUX
ap-6132	139	7	the	the	DET
ap-6132	139	8	average	average	ADJ
ap-6132	139	9	desired	desire	VERB
ap-6132	139	10	target	target	NOUN
ap-6132	139	11	.	.	PUNCT
ap-6132	140	1	in	in	ADP
ap-6132	140	2	this	this	DET
ap-6132	140	3	study	study	NOUN
ap-6132	140	4	,	,	PUNCT
ap-6132	140	5	backpropagation	backpropagation	NOUN
ap-6132	140	6	and	and	CCONJ
ap-6132	140	7	resilient	resilient	ADJ
ap-6132	140	8	propagation	propagation	NOUN
ap-6132	140	9	were	be	AUX
ap-6132	140	10	used	use	VERB
ap-6132	140	11	,	,	PUNCT
ap-6132	140	12	each	each	PRON
ap-6132	140	13	consisting	consist	VERB
ap-6132	140	14	of	of	ADP
ap-6132	140	15	two	two	NUM
ap-6132	140	16	and	and	CCONJ
ap-6132	140	17	one	one	NUM
ap-6132	140	18	hidden	hide	VERB
ap-6132	140	19	layers	layer	NOUN
ap-6132	140	20	.	.	PUNCT
ap-6132	141	1	for	for	ADP
ap-6132	141	2	one	one	NUM
ap-6132	141	3	hidden	hide	VERB
ap-6132	141	4	layer	layer	NOUN
ap-6132	141	5	,	,	PUNCT
ap-6132	141	6	the	the	DET
ap-6132	141	7	number	number	NOUN
ap-6132	141	8	of	of	ADP
ap-6132	141	9	neurons	neuron	NOUN
ap-6132	141	10	was	be	AUX
ap-6132	141	11	determined	determine	VERB
ap-6132	141	12	using	use	VERB
ap-6132	141	13	the	the	DET
ap-6132	141	14	formula	formula	NOUN
ap-6132	141	15	proposed	propose	VERB
ap-6132	141	16	by	by	ADP
ap-6132	141	17	shibata	shibata	PROPN
ap-6132	141	18	and	and	CCONJ
ap-6132	141	19	ikeda	ikeda	PROPN
ap-6132	141	20	in	in	ADP
ap-6132	141	21	2009	2009	NUM
ap-6132	142	1	[	[	X
ap-6132	142	2	30	30	NUM
ap-6132	142	3	]	]	PUNCT
ap-6132	142	4	,	,	PUNCT
ap-6132	142	5	specifically	specifically	ADV
ap-6132	142	6	nh	nh	PROPN
ap-6132	142	7	=	=	SYM
ap-6132	142	8	√	√	PROPN
ap-6132	142	9	ni	ni	PROPN
ap-6132	142	10	·	·	PROPN
ap-6132	142	11	no	no	INTJ
ap-6132	142	12	,	,	PUNCT
ap-6132	142	13	where	where	SCONJ
ap-6132	142	14	nh	nh	PROPN
ap-6132	142	15	,	,	PUNCT
ap-6132	142	16	ni	ni	PROPN
ap-6132	142	17	,	,	PUNCT
ap-6132	142	18	and	and	CCONJ
ap-6132	142	19	no	no	DET
ap-6132	142	20	represent	represent	NOUN
ap-6132	142	21	hidden	hide	VERB
ap-6132	142	22	,	,	PUNCT
ap-6132	142	23	input	input	NOUN
ap-6132	142	24	and	and	CCONJ
ap-6132	142	25	output	output	NOUN
ap-6132	142	26	neurons	neuron	NOUN
ap-6132	142	27	,	,	PUNCT
ap-6132	142	28	respectively	respectively	ADV
ap-6132	142	29	.	.	PUNCT
ap-6132	143	1	in	in	ADP
ap-6132	143	2	both	both	CCONJ
ap-6132	143	3	the	the	DET
ap-6132	143	4	backpropagation	backpropagation	NOUN
ap-6132	143	5	and	and	CCONJ
ap-6132	143	6	resilient	resilient	ADJ
ap-6132	143	7	propagation	propagation	NOUN
ap-6132	143	8	,	,	PUNCT
ap-6132	143	9	the	the	DET
ap-6132	143	10	number	number	NOUN
ap-6132	143	11	of	of	ADP
ap-6132	143	12	neurons	neuron	NOUN
ap-6132	143	13	used	use	VERB
ap-6132	143	14	does	do	AUX
ap-6132	143	15	not	not	PART
ap-6132	143	16	exceed	exceed	VERB
ap-6132	143	17	one	one	NUM
ap-6132	143	18	hidden	hide	VERB
ap-6132	143	19	layer	layer	NOUN
ap-6132	143	20	.	.	PUNCT
ap-6132	144	1	based	base	VERB
ap-6132	144	2	on	on	ADP
ap-6132	144	3	shibata	shibata	NOUN
ap-6132	144	4	and	and	CCONJ
ap-6132	144	5	ikeda	ikeda	PROPN
ap-6132	144	6	[	[	X
ap-6132	144	7	30	30	NUM
ap-6132	144	8	]	]	PUNCT
ap-6132	144	9	formula	formula	NOUN
ap-6132	144	10	,	,	PUNCT
ap-6132	144	11	the	the	DET
ap-6132	144	12	number	number	NOUN
ap-6132	144	13	of	of	ADP
ap-6132	144	14	neurons	neuron	NOUN
ap-6132	144	15	in	in	ADP
ap-6132	144	16	one	one	NUM
ap-6132	144	17	hidden	hide	VERB
ap-6132	144	18	layer	layer	NOUN
ap-6132	144	19	was	be	AUX
ap-6132	144	20	obtained	obtain	VERB
ap-6132	144	21	,	,	PUNCT
ap-6132	144	22	specifically	specifically	ADV
ap-6132	144	23	nh	nh	PROPN
ap-6132	144	24	=	=	SYM
ap-6132	144	25	√	√	PROPN
ap-6132	144	26	ni	ni	PROPN
ap-6132	144	27	·	·	PROPN
ap-6132	144	28	no	no	NOUN
ap-6132	144	29	=	=	NOUN
ap-6132	144	30	√	√	ADP
ap-6132	144	31	47	47	NUM
ap-6132	144	32	·	·	SYM
ap-6132	144	33	4	4	NUM
ap-6132	144	34	=	=	SYM
ap-6132	144	35	13.71	13.71	NUM
ap-6132	144	36	.	.	PUNCT
ap-6132	145	1	however	however	ADV
ap-6132	145	2	,	,	PUNCT
ap-6132	145	3	in	in	ADP
ap-6132	145	4	this	this	DET
ap-6132	145	5	study	study	NOUN
ap-6132	145	6	,	,	PUNCT
ap-6132	145	7	it	it	PRON
ap-6132	145	8	was	be	AUX
ap-6132	145	9	rounded	round	VERB
ap-6132	145	10	up	up	ADP
ap-6132	145	11	to	to	PART
ap-6132	145	12	15	15	NUM
ap-6132	145	13	neurons	neuron	NOUN
ap-6132	145	14	.	.	PUNCT
ap-6132	146	1	some	some	DET
ap-6132	146	2	experiments	experiment	NOUN
ap-6132	146	3	were	be	AUX
ap-6132	146	4	conducted	conduct	VERB
ap-6132	146	5	to	to	PART
ap-6132	146	6	evaluate	evaluate	VERB
ap-6132	146	7	the	the	DET
ap-6132	146	8	identification	identification	NOUN
ap-6132	146	9	accuracy	accuracy	NOUN
ap-6132	146	10	,	,	PUNCT
ap-6132	146	11	and	and	CCONJ
ap-6132	146	12	whether	whether	SCONJ
ap-6132	146	13	using	use	VERB
ap-6132	146	14	one	one	NUM
ap-6132	146	15	hidden	hide	VERB
ap-6132	146	16	layer	layer	NOUN
ap-6132	146	17	with	with	ADP
ap-6132	146	18	15	15	NUM
ap-6132	146	19	neurons	neuron	NOUN
ap-6132	146	20	might	might	AUX
ap-6132	146	21	lead	lead	VERB
ap-6132	146	22	to	to	ADP
ap-6132	146	23	a	a	DET
ap-6132	146	24	better	well	ADJ
ap-6132	146	25	accuracy	accuracy	NOUN
ap-6132	146	26	of	of	ADP
ap-6132	146	27	identification	identification	NOUN
ap-6132	146	28	than	than	ADP
ap-6132	146	29	two	two	NUM
ap-6132	146	30	hidden	hidden	ADJ
ap-6132	146	31	layers	layer	NOUN
ap-6132	146	32	.	.	PUNCT
ap-6132	147	1	however	however	ADV
ap-6132	147	2	,	,	PUNCT
ap-6132	147	3	the	the	DET
ap-6132	147	4	number	number	NOUN
ap-6132	147	5	of	of	ADP
ap-6132	147	6	neurons	neuron	NOUN
ap-6132	147	7	varied	varied	ADJ
ap-6132	147	8	,	,	PUNCT
ap-6132	147	9	setting	set	VERB
ap-6132	147	10	less	less	ADJ
ap-6132	147	11	than	than	ADP
ap-6132	147	12	15	15	NUM
ap-6132	147	13	neurons	neuron	NOUN
ap-6132	147	14	.	.	PUNCT
ap-6132	148	1	for	for	ADP
ap-6132	148	2	two	two	NUM
ap-6132	148	3	hidden	hidden	ADJ
ap-6132	148	4	layers	layer	NOUN
ap-6132	148	5	,	,	PUNCT
ap-6132	148	6	experiments	experiment	NOUN
ap-6132	148	7	were	be	AUX
ap-6132	148	8	conducted	conduct	VERB
ap-6132	148	9	with	with	ADP
ap-6132	148	10	the	the	DET
ap-6132	148	11	number	number	NOUN
ap-6132	148	12	of	of	ADP
ap-6132	148	13	consecutive	consecutive	ADJ
ap-6132	148	14	neurons	neuron	NOUN
ap-6132	148	15	as	as	SCONJ
ap-6132	148	16	follows	follow	VERB
ap-6132	148	17	;	;	PUNCT
ap-6132	148	18	3	3	NUM
ap-6132	148	19	-	-	SYM
ap-6132	148	20	5	5	NUM
ap-6132	148	21	(	(	PUNCT
ap-6132	148	22	8)	8)	NUM
ap-6132	148	23	,	,	PUNCT
ap-6132	148	24	4	4	NUM
ap-6132	148	25	-	-	SYM
ap-6132	148	26	6	6	NUM
ap-6132	148	27	(	(	PUNCT
ap-6132	148	28	10	10	NUM
ap-6132	148	29	)	)	PUNCT
ap-6132	148	30	,	,	PUNCT
ap-6132	148	31	5	5	NUM
ap-6132	148	32	-	-	SYM
ap-6132	148	33	7	7	NUM
ap-6132	148	34	(	(	PUNCT
ap-6132	148	35	12	12	NUM
ap-6132	148	36	)	)	PUNCT
ap-6132	148	37	and	and	CCONJ
ap-6132	148	38	6	6	NUM
ap-6132	148	39	-	-	SYM
ap-6132	148	40	8	8	NUM
ap-6132	148	41	(	(	PUNCT
ap-6132	148	42	14	14	NUM
ap-6132	148	43	)	)	PUNCT
ap-6132	148	44	.	.	PUNCT
ap-6132	149	1	the	the	DET
ap-6132	149	2	number	number	NOUN
ap-6132	149	3	of	of	ADP
ap-6132	149	4	neurons	neuron	NOUN
ap-6132	149	5	in	in	ADP
ap-6132	149	6	the	the	DET
ap-6132	149	7	hidden	hide	VERB
ap-6132	149	8	layer	layer	NOUN
ap-6132	149	9	never	never	ADV
ap-6132	149	10	exceeded	exceed	VERB
ap-6132	149	11	15	15	NUM
ap-6132	149	12	neurons	neuron	NOUN
ap-6132	149	13	.	.	PUNCT
ap-6132	150	1	3.1	3.1	NUM
ap-6132	150	2	.	.	PUNCT
ap-6132	150	3	backpropagation	backpropagation	NOUN
ap-6132	150	4	(	(	PUNCT
ap-6132	150	5	b	b	X
ap-6132	150	6	-	-	PUNCT
ap-6132	150	7	prop	prop	NOUN
ap-6132	150	8	)	)	PUNCT
ap-6132	150	9	with	with	ADP
ap-6132	150	10	two	two	NUM
ap-6132	150	11	hidden	hidden	ADJ
ap-6132	150	12	layers	layer	NOUN
ap-6132	150	13	in	in	ADP
ap-6132	150	14	this	this	DET
ap-6132	150	15	section	section	NOUN
ap-6132	150	16	,	,	PUNCT
ap-6132	150	17	the	the	DET
ap-6132	150	18	backpropagation	backpropagation	NOUN
ap-6132	150	19	learning	learn	VERB
ap-6132	150	20	algorithm	algorithm	NOUN
ap-6132	150	21	with	with	ADP
ap-6132	150	22	two	two	NUM
ap-6132	150	23	hidden	hidden	ADJ
ap-6132	150	24	layers	layer	NOUN
ap-6132	150	25	was	be	AUX
ap-6132	150	26	used	use	VERB
ap-6132	150	27	.	.	PUNCT
ap-6132	151	1	the	the	DET
ap-6132	151	2	number	number	NOUN
ap-6132	151	3	of	of	ADP
ap-6132	151	4	neurons	neuron	NOUN
ap-6132	151	5	in	in	ADP
ap-6132	151	6	the	the	DET
ap-6132	151	7	hidden	hide	VERB
ap-6132	151	8	layer	layer	NOUN
ap-6132	151	9	varied	vary	VERB
ap-6132	151	10	with	with	ADP
ap-6132	151	11	not	not	PART
ap-6132	151	12	more	more	ADJ
ap-6132	151	13	than	than	ADP
ap-6132	151	14	15	15	NUM
ap-6132	151	15	neurons	neuron	NOUN
ap-6132	151	16	.	.	PUNCT
ap-6132	152	1	there	there	PRON
ap-6132	152	2	were	be	VERB
ap-6132	152	3	four	four	NUM
ap-6132	152	4	variations	variation	NOUN
ap-6132	152	5	of	of	ADP
ap-6132	152	6	the	the	DET
ap-6132	152	7	network	network	NOUN
ap-6132	152	8	architecture	architecture	NOUN
ap-6132	152	9	,	,	PUNCT
ap-6132	152	10	including	include	VERB
ap-6132	152	11	47	47	NUM
ap-6132	152	12	-	-	SYM
ap-6132	152	13	3	3	NUM
ap-6132	152	14	-	-	SYM
ap-6132	152	15	5	5	NUM
ap-6132	152	16	-	-	SYM
ap-6132	152	17	4	4	NUM
ap-6132	152	18	,	,	PUNCT
ap-6132	152	19	47	47	NUM
ap-6132	152	20	-	-	SYM
ap-6132	152	21	4	4	NUM
ap-6132	152	22	-	-	PUNCT
ap-6132	152	23	6	6	NUM
ap-6132	152	24	-	-	SYM
ap-6132	152	25	4	4	NUM
ap-6132	152	26	,	,	PUNCT
ap-6132	152	27	475	475	NUM
ap-6132	152	28	-	-	SYM
ap-6132	152	29	7	7	NUM
ap-6132	152	30	-	-	SYM
ap-6132	152	31	4	4	NUM
ap-6132	152	32	and	and	CCONJ
ap-6132	152	33	47	47	NUM
ap-6132	152	34	-	-	SYM
ap-6132	152	35	6	6	NUM
ap-6132	152	36	-	-	PUNCT
ap-6132	152	37	8	8	NUM
ap-6132	152	38	-	-	SYM
ap-6132	152	39	4	4	NUM
ap-6132	152	40	.	.	PUNCT
ap-6132	153	1	the	the	DET
ap-6132	153	2	input	input	NOUN
ap-6132	153	3	layer	layer	NOUN
ap-6132	153	4	consists	consist	VERB
ap-6132	153	5	of	of	ADP
ap-6132	153	6	47	47	NUM
ap-6132	153	7	neurons	neuron	NOUN
ap-6132	153	8	based	base	VERB
ap-6132	153	9	on	on	ADP
ap-6132	153	10	the	the	DET
ap-6132	153	11	number	number	NOUN
ap-6132	153	12	of	of	ADP
ap-6132	153	13	metabolites	metabolite	NOUN
ap-6132	153	14	.	.	PUNCT
ap-6132	154	1	the	the	DET
ap-6132	154	2	output	output	NOUN
ap-6132	154	3	layer	layer	NOUN
ap-6132	154	4	consists	consist	VERB
ap-6132	154	5	of	of	ADP
ap-6132	154	6	4	4	NUM
ap-6132	154	7	neurons	neuron	NOUN
ap-6132	154	8	according	accord	VERB
ap-6132	154	9	to	to	ADP
ap-6132	154	10	the	the	DET
ap-6132	154	11	number	number	NOUN
ap-6132	154	12	of	of	ADP
ap-6132	154	13	clove	clove	NOUN
ap-6132	154	14	buds	bud	NOUN
ap-6132	154	15	origins	origin	NOUN
ap-6132	154	16	.	.	PUNCT
ap-6132	155	1	table	table	NOUN
ap-6132	155	2	1	1	NUM
ap-6132	155	3	shows	show	VERB
ap-6132	155	4	the	the	DET
ap-6132	155	5	network	network	NOUN
ap-6132	155	6	architecture	architecture	NOUN
ap-6132	155	7	47	47	NUM
ap-6132	155	8	-	-	SYM
ap-6132	155	9	3	3	NUM
ap-6132	155	10	-	-	SYM
ap-6132	155	11	5	5	NUM
ap-6132	155	12	-	-	SYM
ap-6132	155	13	4	4	NUM
ap-6132	155	14	gives	give	VERB
ap-6132	155	15	the	the	DET
ap-6132	155	16	highest	high	ADJ
ap-6132	155	17	value	value	NOUN
ap-6132	155	18	for	for	ADP
ap-6132	155	19	the	the	DET
ap-6132	155	20	identification	identification	NOUN
ap-6132	155	21	accuracy	accuracy	NOUN
ap-6132	155	22	and	and	CCONJ
ap-6132	155	23	coefficient	coefficient	NOUN
ap-6132	155	24	of	of	ADP
ap-6132	155	25	determination	determination	NOUN
ap-6132	155	26	in	in	ADP
ap-6132	155	27	training	training	NOUN
ap-6132	155	28	and	and	CCONJ
ap-6132	155	29	testing	testing	NOUN
ap-6132	155	30	data	datum	NOUN
ap-6132	155	31	sets	set	NOUN
ap-6132	155	32	.	.	PUNCT
ap-6132	156	1	similar	similar	ADJ
ap-6132	156	2	to	to	ADP
ap-6132	156	3	the	the	DET
ap-6132	156	4	mse	mse	NOUN
ap-6132	156	5	,	,	PUNCT
ap-6132	156	6	this	this	DET
ap-6132	156	7	network	network	NOUN
ap-6132	156	8	architecture	architecture	NOUN
ap-6132	156	9	provides	provide	VERB
ap-6132	156	10	the	the	DET
ap-6132	156	11	smallest	small	ADJ
ap-6132	156	12	amount	amount	NOUN
ap-6132	156	13	of	of	ADP
ap-6132	156	14	both	both	DET
ap-6132	156	15	training	training	NOUN
ap-6132	156	16	and	and	CCONJ
ap-6132	156	17	the	the	DET
ap-6132	156	18	testing	testing	NOUN
ap-6132	156	19	data	data	NOUN
ap-6132	156	20	sets	set	NOUN
ap-6132	156	21	.	.	PUNCT
ap-6132	157	1	from	from	ADP
ap-6132	157	2	table	table	NOUN
ap-6132	157	3	1	1	NUM
ap-6132	157	4	,	,	PUNCT
ap-6132	157	5	increasing	increase	VERB
ap-6132	157	6	the	the	DET
ap-6132	157	7	number	number	NOUN
ap-6132	157	8	of	of	ADP
ap-6132	157	9	neurons	neuron	NOUN
ap-6132	157	10	in	in	ADP
ap-6132	157	11	the	the	DET
ap-6132	157	12	backpropagation	backpropagation	NOUN
ap-6132	157	13	with	with	ADP
ap-6132	157	14	two	two	NUM
ap-6132	157	15	hidden	hidden	ADJ
ap-6132	157	16	layers	layer	NOUN
ap-6132	157	17	decreases	decrease	VERB
ap-6132	157	18	network	network	NOUN
ap-6132	157	19	performance	performance	NOUN
ap-6132	157	20	.	.	PUNCT
ap-6132	158	1	this	this	PRON
ap-6132	158	2	is	be	AUX
ap-6132	158	3	in	in	ADP
ap-6132	158	4	line	line	NOUN
ap-6132	158	5	with	with	ADP
ap-6132	158	6	shafi	shafi	PROPN
ap-6132	158	7	et	et	PROPN
ap-6132	158	8	al	al	PROPN
ap-6132	158	9	.	.	PROPN
ap-6132	159	1	in	in	ADP
ap-6132	159	2	2006	2006	NUM
ap-6132	159	3	[	[	X
ap-6132	159	4	31	31	NUM
ap-6132	159	5	]	]	PUNCT
ap-6132	159	6	,	,	PUNCT
ap-6132	159	7	which	which	PRON
ap-6132	159	8	stated	state	VERB
ap-6132	159	9	that	that	SCONJ
ap-6132	159	10	increasing	increase	VERB
ap-6132	159	11	the	the	DET
ap-6132	159	12	number	number	NOUN
ap-6132	159	13	of	of	ADP
ap-6132	159	14	neurons	neuron	NOUN
ap-6132	159	15	in	in	ADP
ap-6132	159	16	the	the	DET
ap-6132	159	17	hidden	hide	VERB
ap-6132	159	18	layer	layer	NOUN
ap-6132	159	19	only	only	ADV
ap-6132	159	20	heightened	heighten	VERB
ap-6132	159	21	the	the	DET
ap-6132	159	22	complexity	complexity	NOUN
ap-6132	159	23	of	of	ADP
ap-6132	159	24	the	the	DET
ap-6132	159	25	network	network	NOUN
ap-6132	159	26	.	.	PUNCT
ap-6132	160	1	still	still	ADV
ap-6132	160	2	,	,	PUNCT
ap-6132	160	3	it	it	PRON
ap-6132	160	4	does	do	AUX
ap-6132	160	5	not	not	PART
ap-6132	160	6	increase	increase	VERB
ap-6132	160	7	the	the	DET
ap-6132	160	8	accuracy	accuracy	NOUN
ap-6132	160	9	of	of	ADP
ap-6132	160	10	the	the	DET
ap-6132	160	11	pattern	pattern	NOUN
ap-6132	160	12	recognition	recognition	NOUN
ap-6132	160	13	.	.	PUNCT
ap-6132	161	1	3.2	3.2	NUM
ap-6132	161	2	.	.	PUNCT
ap-6132	161	3	backpropagation	backpropagation	NOUN
ap-6132	161	4	(	(	PUNCT
ap-6132	161	5	b	b	X
ap-6132	161	6	-	-	PUNCT
ap-6132	161	7	prop	prop	NOUN
ap-6132	161	8	)	)	PUNCT
ap-6132	161	9	with	with	ADP
ap-6132	161	10	one	one	NUM
ap-6132	161	11	hidden	hide	VERB
ap-6132	161	12	layer	layer	NOUN
ap-6132	161	13	the	the	DET
ap-6132	161	14	backpropagation	backpropagation	NOUN
ap-6132	161	15	learning	learn	VERB
ap-6132	161	16	algorithm	algorithm	NOUN
ap-6132	161	17	with	with	ADP
ap-6132	161	18	one	one	NUM
ap-6132	161	19	hidden	hide	VERB
ap-6132	161	20	layer	layer	NOUN
ap-6132	161	21	was	be	AUX
ap-6132	161	22	implemented	implement	VERB
ap-6132	161	23	to	to	PART
ap-6132	161	24	evaluate	evaluate	VERB
ap-6132	161	25	its	its	PRON
ap-6132	161	26	result	result	NOUN
ap-6132	161	27	in	in	ADP
ap-6132	161	28	the	the	DET
ap-6132	161	29	case	case	NOUN
ap-6132	161	30	of	of	ADP
ap-6132	161	31	a	a	DET
ap-6132	161	32	comparison	comparison	NOUN
ap-6132	161	33	using	use	VERB
ap-6132	161	34	two	two	NUM
ap-6132	161	35	hidden	hidden	ADJ
ap-6132	161	36	layers	layer	NOUN
ap-6132	161	37	.	.	PUNCT
ap-6132	162	1	the	the	DET
ap-6132	162	2	results	result	NOUN
ap-6132	162	3	obtained	obtain	VERB
ap-6132	162	4	are	be	AUX
ap-6132	162	5	shown	show	VERB
ap-6132	162	6	in	in	ADP
ap-6132	162	7	table	table	NOUN
ap-6132	162	8	2	2	NUM
ap-6132	162	9	.	.	PUNCT
ap-6132	162	10	table	table	NOUN
ap-6132	162	11	2	2	NUM
ap-6132	162	12	shows	show	VERB
ap-6132	162	13	that	that	SCONJ
ap-6132	162	14	the	the	DET
ap-6132	162	15	network	network	NOUN
ap-6132	162	16	architecture	architecture	NOUN
ap-6132	162	17	47	47	NUM
ap-6132	162	18	-	-	SYM
ap-6132	162	19	15	15	NUM
ap-6132	162	20	-	-	SYM
ap-6132	162	21	4	4	NUM
ap-6132	162	22	identifies	identify	VERB
ap-6132	162	23	the	the	DET
ap-6132	162	24	clove	clove	NOUN
ap-6132	162	25	buds	bud	NOUN
ap-6132	162	26	origin	origin	VERB
ap-6132	162	27	effectively	effectively	ADV
ap-6132	162	28	.	.	PUNCT
ap-6132	163	1	the	the	DET
ap-6132	163	2	identification	identification	NOUN
ap-6132	163	3	accuracy	accuracy	NOUN
ap-6132	163	4	percentage	percentage	NOUN
ap-6132	163	5	is	be	AUX
ap-6132	163	6	99.91	99.91	NUM
ap-6132	163	7	%	%	NOUN
ap-6132	163	8	and	and	CCONJ
ap-6132	163	9	99.47	99.47	NUM
ap-6132	163	10	%	%	NOUN
ap-6132	163	11	for	for	ADP
ap-6132	163	12	training	training	NOUN
ap-6132	163	13	and	and	CCONJ
ap-6132	163	14	testing	testing	NOUN
ap-6132	163	15	data	datum	NOUN
ap-6132	163	16	sets	set	NOUN
ap-6132	163	17	,	,	PUNCT
ap-6132	163	18	respectively	respectively	ADV
ap-6132	163	19	.	.	PUNCT
ap-6132	164	1	moreover	moreover	ADV
ap-6132	164	2	,	,	PUNCT
ap-6132	164	3	the	the	DET
ap-6132	164	4	mse	mse	NOUN
ap-6132	164	5	value	value	NOUN
ap-6132	164	6	is	be	AUX
ap-6132	164	7	also	also	ADV
ap-6132	164	8	smaller	small	ADJ
ap-6132	164	9	compared	compare	VERB
ap-6132	164	10	to	to	ADP
ap-6132	164	11	the	the	DET
ap-6132	164	12	two	two	NUM
ap-6132	164	13	hidden	hidden	ADJ
ap-6132	164	14	layers	layer	NOUN
ap-6132	164	15	.	.	PUNCT
ap-6132	165	1	for	for	ADP
ap-6132	165	2	the	the	DET
ap-6132	165	3	backpropagation	backpropagation	NOUN
ap-6132	165	4	algorithm	algorithm	NOUN
ap-6132	165	5	,	,	PUNCT
ap-6132	165	6	the	the	DET
ap-6132	165	7	results	result	NOUN
ap-6132	165	8	show	show	VERB
ap-6132	165	9	one	one	NUM
ap-6132	165	10	hidden	hide	VERB
ap-6132	165	11	layer	layer	NOUN
ap-6132	165	12	is	be	AUX
ap-6132	165	13	better	well	ADJ
ap-6132	165	14	than	than	ADP
ap-6132	165	15	two	two	NUM
ap-6132	165	16	.	.	PUNCT
ap-6132	166	1	this	this	PRON
ap-6132	166	2	is	be	AUX
ap-6132	166	3	in	in	ADP
ap-6132	166	4	line	line	NOUN
ap-6132	166	5	with	with	ADP
ap-6132	166	6	villiers	villier	NOUN
ap-6132	166	7	and	and	CCONJ
ap-6132	166	8	barnard	barnard	NOUN
ap-6132	167	1	[	[	X
ap-6132	167	2	32	32	NUM
ap-6132	167	3	]	]	PUNCT
ap-6132	167	4	,	,	PUNCT
ap-6132	167	5	which	which	PRON
ap-6132	167	6	stated	state	VERB
ap-6132	167	7	that	that	SCONJ
ap-6132	167	8	a	a	DET
ap-6132	167	9	network	network	NOUN
ap-6132	167	10	architecture	architecture	NOUN
ap-6132	167	11	with	with	ADP
ap-6132	167	12	one	one	NUM
ap-6132	167	13	hidden	hide	VERB
ap-6132	167	14	layer	layer	NOUN
ap-6132	167	15	is	be	AUX
ap-6132	167	16	on	on	ADP
ap-6132	167	17	average	average	ADJ
ap-6132	167	18	better	well	ADJ
ap-6132	167	19	than	than	ADP
ap-6132	167	20	two	two	NUM
ap-6132	167	21	hidden	hidden	ADJ
ap-6132	167	22	layers	layer	NOUN
ap-6132	167	23	.	.	PUNCT
ap-6132	168	1	they	they	PRON
ap-6132	168	2	concluded	conclude	VERB
ap-6132	168	3	that	that	SCONJ
ap-6132	168	4	two	two	NUM
ap-6132	168	5	hidden	hidden	ADJ
ap-6132	168	6	layers	layer	NOUN
ap-6132	168	7	are	be	AUX
ap-6132	168	8	more	more	ADV
ap-6132	168	9	difficult	difficult	ADJ
ap-6132	168	10	to	to	PART
ap-6132	168	11	train	train	VERB
ap-6132	168	12	.	.	PUNCT
ap-6132	169	1	additionally	additionally	ADV
ap-6132	169	2	,	,	PUNCT
ap-6132	169	3	they	they	PRON
ap-6132	169	4	also	also	ADV
ap-6132	169	5	established	establish	VERB
ap-6132	169	6	that	that	SCONJ
ap-6132	169	7	this	this	DET
ap-6132	169	8	behaviour	behaviour	NOUN
ap-6132	169	9	is	be	AUX
ap-6132	169	10	caused	cause	VERB
ap-6132	169	11	by	by	ADP
ap-6132	169	12	a	a	DET
ap-6132	169	13	local	local	ADJ
ap-6132	169	14	minimum	minimum	NOUN
ap-6132	169	15	problem	problem	NOUN
ap-6132	169	16	.	.	PUNCT
ap-6132	170	1	the	the	DET
ap-6132	170	2	networks	network	NOUN
ap-6132	170	3	with	with	ADP
ap-6132	170	4	two	two	NUM
ap-6132	170	5	hidden	hidden	ADJ
ap-6132	170	6	layers	layer	NOUN
ap-6132	170	7	are	be	AUX
ap-6132	170	8	more	more	ADV
ap-6132	170	9	prone	prone	ADJ
ap-6132	170	10	to	to	ADP
ap-6132	170	11	the	the	DET
ap-6132	170	12	local	local	ADJ
ap-6132	170	13	minimum	minimum	ADJ
ap-6132	170	14	problem	problem	NOUN
ap-6132	170	15	during	during	ADP
ap-6132	170	16	the	the	DET
ap-6132	170	17	training	training	NOUN
ap-6132	170	18	.	.	PUNCT
ap-6132	171	1	3.3	3.3	NUM
ap-6132	171	2	.	.	PUNCT
ap-6132	172	1	resilient	resilient	ADJ
ap-6132	172	2	propagation	propagation	NOUN
ap-6132	172	3	(	(	PUNCT
ap-6132	172	4	r	r	NOUN
ap-6132	172	5	-	-	PUNCT
ap-6132	172	6	prop	prop	NOUN
ap-6132	172	7	)	)	PUNCT
ap-6132	172	8	with	with	ADP
ap-6132	172	9	two	two	NUM
ap-6132	172	10	hidden	hide	VERB
ap-6132	172	11	layers	layer	NOUN
ap-6132	172	12	resilient	resilient	ADJ
ap-6132	172	13	propagation	propagation	NOUN
ap-6132	172	14	learning	learn	VERB
ap-6132	172	15	algorithm	algorithm	NOUN
ap-6132	172	16	contains	contain	VERB
ap-6132	172	17	some	some	DET
ap-6132	172	18	parameters	parameter	NOUN
ap-6132	172	19	,	,	PUNCT
ap-6132	172	20	including	include	VERB
ap-6132	172	21	the	the	DET
ap-6132	172	22	upper	upper	ADJ
ap-6132	172	23	and	and	CCONJ
ap-6132	172	24	lower	low	ADJ
ap-6132	172	25	limits	limit	NOUN
ap-6132	172	26	as	as	ADV
ap-6132	172	27	well	well	ADV
ap-6132	172	28	as	as	ADP
ap-6132	172	29	the	the	DET
ap-6132	172	30	decrease	decrease	NOUN
ap-6132	172	31	and	and	CCONJ
ap-6132	172	32	increase	increase	VERB
ap-6132	172	33	factors	factor	NOUN
ap-6132	172	34	.	.	PUNCT
ap-6132	173	1	in	in	ADP
ap-6132	173	2	this	this	DET
ap-6132	173	3	study	study	NOUN
ap-6132	173	4	,	,	PUNCT
ap-6132	173	5	the	the	DET
ap-6132	173	6	range	range	NOUN
ap-6132	173	7	of	of	ADP
ap-6132	173	8	update	update	NOUN
ap-6132	173	9	values	value	NOUN
ap-6132	173	10	is	be	AUX
ap-6132	173	11	limited	limit	VERB
ap-6132	173	12	to	to	ADP
ap-6132	173	13	the	the	DET
ap-6132	173	14	upper	upper	ADJ
ap-6132	173	15	limit	limit	NOUN
ap-6132	173	16	(	(	PUNCT
ap-6132	173	17	∆max	∆max	NUM
ap-6132	173	18	)	)	PUNCT
ap-6132	173	19	=	=	SYM
ap-6132	174	1	50	50	NUM
ap-6132	174	2	,	,	PUNCT
ap-6132	174	3	the	the	DET
ap-6132	174	4	lower	low	ADJ
ap-6132	174	5	limit	limit	NOUN
ap-6132	174	6	(	(	PUNCT
ap-6132	174	7	∆min	∆min	NUM
ap-6132	174	8	)	)	PUNCT
ap-6132	174	9	=	=	SYM
ap-6132	174	10	10−6	10−6	NUM
ap-6132	174	11	,	,	PUNCT
ap-6132	174	12	and	and	CCONJ
ap-6132	174	13	the	the	DET
ap-6132	174	14	decrease	decrease	NOUN
ap-6132	174	15	and	and	CCONJ
ap-6132	174	16	increase	increase	VERB
ap-6132	174	17	factors	factor	NOUN
ap-6132	174	18	(	(	PUNCT
ap-6132	174	19	η−	η−	NOUN
ap-6132	174	20	)	)	PUNCT
ap-6132	174	21	=	=	SYM
ap-6132	174	22	0.5	0.5	NUM
ap-6132	174	23	and	and	CCONJ
ap-6132	174	24	(	(	PUNCT
ap-6132	174	25	η+	η+	X
ap-6132	174	26	)	)	PUNCT
ap-6132	174	27	=	=	SYM
ap-6132	174	28	1.2	1.2	NUM
ap-6132	174	29	,	,	PUNCT
ap-6132	174	30	respectively	respectively	ADV
ap-6132	174	31	.	.	PUNCT
ap-6132	175	1	the	the	DET
ap-6132	175	2	reason	reason	NOUN
ap-6132	175	3	for	for	ADP
ap-6132	175	4	choosing	choose	VERB
ap-6132	175	5	these	these	DET
ap-6132	175	6	values	value	NOUN
ap-6132	175	7	is	be	AUX
ap-6132	175	8	shown	show	VERB
ap-6132	175	9	in	in	ADP
ap-6132	175	10	[	[	X
ap-6132	175	11	28	28	NUM
ap-6132	175	12	]	]	PUNCT
ap-6132	175	13	.	.	PUNCT
ap-6132	176	1	similar	similar	ADJ
ap-6132	176	2	to	to	ADP
ap-6132	176	3	section	section	NOUN
ap-6132	176	4	3.1	3.1	NUM
ap-6132	176	5	,	,	PUNCT
ap-6132	176	6	the	the	DET
ap-6132	176	7	resilient	resilient	ADJ
ap-6132	176	8	propagation	propagation	NOUN
ap-6132	176	9	learning	learn	VERB
ap-6132	176	10	algorithm	algorithm	NOUN
ap-6132	176	11	is	be	AUX
ap-6132	176	12	applied	apply	VERB
ap-6132	176	13	to	to	ADP
ap-6132	176	14	the	the	DET
ap-6132	176	15	network	network	NOUN
ap-6132	176	16	architecture	architecture	NOUN
ap-6132	176	17	with	with	ADP
ap-6132	176	18	two	two	NUM
ap-6132	176	19	hidden	hidden	ADJ
ap-6132	176	20	layers	layer	NOUN
ap-6132	176	21	.	.	PUNCT
ap-6132	177	1	the	the	DET
ap-6132	177	2	number	number	NOUN
ap-6132	177	3	of	of	ADP
ap-6132	177	4	neurons	neuron	NOUN
ap-6132	177	5	vary	vary	VERB
ap-6132	177	6	but	but	CCONJ
ap-6132	177	7	do	do	AUX
ap-6132	177	8	not	not	PART
ap-6132	177	9	exceed	exceed	VERB
ap-6132	177	10	15	15	NUM
ap-6132	177	11	neurons	neuron	NOUN
ap-6132	177	12	.	.	PUNCT
ap-6132	178	1	in	in	ADP
ap-6132	178	2	this	this	DET
ap-6132	178	3	section	section	NOUN
ap-6132	178	4	,	,	PUNCT
ap-6132	178	5	there	there	PRON
ap-6132	178	6	are	be	VERB
ap-6132	178	7	four	four	NUM
ap-6132	178	8	variations	variation	NOUN
ap-6132	178	9	of	of	ADP
ap-6132	178	10	the	the	DET
ap-6132	178	11	network	network	NOUN
ap-6132	178	12	architecture	architecture	NOUN
ap-6132	178	13	,	,	PUNCT
ap-6132	178	14	including	include	VERB
ap-6132	178	15	47	47	NUM
ap-6132	178	16	-	-	SYM
ap-6132	178	17	3	3	NUM
ap-6132	178	18	-	-	SYM
ap-6132	178	19	5	5	NUM
ap-6132	178	20	-	-	SYM
ap-6132	178	21	4	4	NUM
ap-6132	178	22	,	,	PUNCT
ap-6132	178	23	47	47	NUM
ap-6132	178	24	-	-	SYM
ap-6132	178	25	4	4	NUM
ap-6132	178	26	-	-	PUNCT
ap-6132	178	27	6	6	NUM
ap-6132	178	28	-	-	SYM
ap-6132	178	29	4	4	NUM
ap-6132	178	30	,	,	PUNCT
ap-6132	178	31	47	47	NUM
ap-6132	178	32	-	-	SYM
ap-6132	178	33	5	5	NUM
ap-6132	178	34	-	-	PUNCT
ap-6132	178	35	7	7	NUM
ap-6132	178	36	-	-	SYM
ap-6132	178	37	4	4	NUM
ap-6132	178	38	and	and	CCONJ
ap-6132	178	39	47	47	NUM
ap-6132	178	40	-	-	SYM
ap-6132	178	41	6	6	NUM
ap-6132	178	42	-	-	PUNCT
ap-6132	178	43	8	8	NUM
ap-6132	178	44	-	-	SYM
ap-6132	178	45	4	4	NUM
ap-6132	178	46	.	.	PUNCT
ap-6132	179	1	the	the	DET
ap-6132	179	2	results	result	NOUN
ap-6132	179	3	in	in	ADP
ap-6132	179	4	table	table	NOUN
ap-6132	179	5	3	3	NUM
ap-6132	179	6	show	show	VERB
ap-6132	179	7	the	the	DET
ap-6132	179	8	network	network	NOUN
ap-6132	179	9	architecture	architecture	NOUN
ap-6132	179	10	47	47	NUM
ap-6132	179	11	-	-	SYM
ap-6132	179	12	5	5	NUM
ap-6132	179	13	-	-	PUNCT
ap-6132	179	14	7	7	NUM
ap-6132	179	15	-	-	SYM
ap-6132	179	16	4	4	NUM
ap-6132	179	17	gives	give	VERB
ap-6132	179	18	the	the	DET
ap-6132	179	19	highest	high	ADJ
ap-6132	179	20	identification	identification	NOUN
ap-6132	179	21	accuracy	accuracy	NOUN
ap-6132	179	22	of	of	ADP
ap-6132	179	23	the	the	DET
ap-6132	179	24	clove	clove	NOUN
ap-6132	179	25	buds	bud	NOUN
ap-6132	179	26	origin	origin	VERB
ap-6132	179	27	.	.	PUNCT
ap-6132	180	1	the	the	DET
ap-6132	180	2	percentage	percentage	NOUN
ap-6132	180	3	of	of	ADP
ap-6132	180	4	the	the	DET
ap-6132	180	5	identification	identification	NOUN
ap-6132	180	6	accuracy	accuracy	NOUN
ap-6132	180	7	is	be	AUX
ap-6132	180	8	99.96	99.96	NUM
ap-6132	180	9	%	%	NOUN
ap-6132	180	10	and	and	CCONJ
ap-6132	180	11	97.89	97.89	NUM
ap-6132	180	12	%	%	NOUN
ap-6132	180	13	for	for	ADP
ap-6132	180	14	training	training	NOUN
ap-6132	180	15	and	and	CCONJ
ap-6132	180	16	testing	testing	NOUN
ap-6132	180	17	data	datum	NOUN
ap-6132	180	18	sets	set	NOUN
ap-6132	180	19	,	,	PUNCT
ap-6132	180	20	respectively	respectively	ADV
ap-6132	180	21	.	.	PUNCT
ap-6132	181	1	3.4	3.4	NUM
ap-6132	181	2	.	.	PUNCT
ap-6132	182	1	resilient	resilient	ADJ
ap-6132	182	2	propagation	propagation	NOUN
ap-6132	182	3	(	(	PUNCT
ap-6132	182	4	r	r	NOUN
ap-6132	182	5	-	-	PUNCT
ap-6132	182	6	prop	prop	NOUN
ap-6132	182	7	)	)	PUNCT
ap-6132	182	8	with	with	ADP
ap-6132	182	9	one	one	NUM
ap-6132	182	10	hidden	hide	VERB
ap-6132	182	11	layer	layer	NOUN
ap-6132	182	12	in	in	ADP
ap-6132	182	13	this	this	DET
ap-6132	182	14	section	section	NOUN
ap-6132	182	15	,	,	PUNCT
ap-6132	182	16	the	the	DET
ap-6132	182	17	resilient	resilient	ADJ
ap-6132	182	18	propagation	propagation	NOUN
ap-6132	182	19	learning	learn	VERB
ap-6132	182	20	algorithm	algorithm	NOUN
ap-6132	182	21	is	be	AUX
ap-6132	182	22	implemented	implement	VERB
ap-6132	182	23	with	with	ADP
ap-6132	182	24	one	one	NUM
ap-6132	182	25	hidden	hide	VERB
ap-6132	182	26	layer	layer	NOUN
ap-6132	182	27	.	.	PUNCT
ap-6132	183	1	similar	similar	ADJ
ap-6132	183	2	to	to	ADP
ap-6132	183	3	section	section	NOUN
ap-6132	183	4	3.2	3.2	NUM
ap-6132	183	5	,	,	PUNCT
ap-6132	183	6	the	the	DET
ap-6132	183	7	number	number	NOUN
ap-6132	183	8	of	of	ADP
ap-6132	183	9	neurons	neuron	NOUN
ap-6132	183	10	in	in	ADP
ap-6132	183	11	the	the	DET
ap-6132	183	12	hidden	hide	VERB
ap-6132	183	13	layer	layer	NOUN
ap-6132	183	14	is	be	AUX
ap-6132	183	15	15	15	NUM
ap-6132	183	16	neurons	neuron	NOUN
ap-6132	183	17	,	,	PUNCT
ap-6132	183	18	and	and	CCONJ
ap-6132	183	19	have	have	VERB
ap-6132	183	20	the	the	DET
ap-6132	183	21	network	network	NOUN
ap-6132	183	22	architecture	architecture	NOUN
ap-6132	183	23	47	47	NUM
ap-6132	183	24	-	-	SYM
ap-6132	183	25	15	15	NUM
ap-6132	183	26	-	-	SYM
ap-6132	183	27	4	4	NUM
ap-6132	183	28	.	.	PUNCT
ap-6132	183	29	table	table	NOUN
ap-6132	183	30	4	4	NUM
ap-6132	183	31	shows	show	VERB
ap-6132	183	32	the	the	DET
ap-6132	183	33	network	network	NOUN
ap-6132	183	34	architecture	architecture	NOUN
ap-6132	183	35	47	47	NUM
ap-6132	183	36	-	-	SYM
ap-6132	183	37	15	15	NUM
ap-6132	183	38	-	-	SYM
ap-6132	183	39	4	4	NUM
ap-6132	183	40	identifies	identify	VERB
ap-6132	183	41	the	the	DET
ap-6132	183	42	origin	origin	NOUN
ap-6132	183	43	of	of	ADP
ap-6132	183	44	clove	clove	NOUN
ap-6132	183	45	buds	bud	NOUN
ap-6132	183	46	with	with	ADP
ap-6132	183	47	an	an	DET
ap-6132	183	48	identification	identification	NOUN
ap-6132	183	49	accuracy	accuracy	NOUN
ap-6132	183	50	of	of	ADP
ap-6132	183	51	99.86	99.86	NUM
ap-6132	183	52	%	%	NOUN
ap-6132	183	53	and	and	CCONJ
ap-6132	183	54	94.74	94.74	NUM
ap-6132	183	55	%	%	NOUN
ap-6132	183	56	on	on	ADP
ap-6132	183	57	training	training	NOUN
ap-6132	183	58	and	and	CCONJ
ap-6132	183	59	testing	testing	NOUN
ap-6132	183	60	data	datum	NOUN
ap-6132	183	61	sets	set	NOUN
ap-6132	183	62	,	,	PUNCT
ap-6132	183	63	respectively	respectively	ADV
ap-6132	183	64	.	.	PUNCT
ap-6132	184	1	the	the	DET
ap-6132	184	2	network	network	NOUN
ap-6132	184	3	architecture	architecture	NOUN
ap-6132	184	4	of	of	ADP
ap-6132	184	5	the	the	DET
ap-6132	184	6	resilient	resilient	ADJ
ap-6132	184	7	propagation	propagation	NOUN
ap-6132	184	8	algorithm	algorithm	NOUN
ap-6132	184	9	,	,	PUNCT
ap-6132	184	10	both	both	PRON
ap-6132	184	11	two	two	NUM
ap-6132	184	12	hidden	hidden	ADJ
ap-6132	184	13	layers	layer	NOUN
ap-6132	184	14	and	and	CCONJ
ap-6132	184	15	one	one	NUM
ap-6132	184	16	hidden	hide	VERB
ap-6132	184	17	layer	layer	NOUN
ap-6132	184	18	,	,	PUNCT
ap-6132	184	19	provides	provide	VERB
ap-6132	184	20	identification	identification	NOUN
ap-6132	184	21	results	result	NOUN
ap-6132	184	22	with	with	ADP
ap-6132	184	23	a	a	DET
ap-6132	184	24	very	very	ADV
ap-6132	184	25	high	high	ADJ
ap-6132	184	26	443	443	NUM
ap-6132	184	27	rustam	rustam	NOUN
ap-6132	184	28	,	,	PUNCT
ap-6132	184	29	a.	a.	PROPN
ap-6132	184	30	y.	y.	PROPN
ap-6132	184	31	gunawan	gunawan	PROPN
ap-6132	184	32	,	,	PUNCT
ap-6132	184	33	m.	m.	NOUN
ap-6132	184	34	t.	t.	PROPN
ap-6132	184	35	a.	a.	PROPN
ap-6132	184	36	p.	p.	PROPN
ap-6132	184	37	kresnowati	kresnowati	PROPN
ap-6132	185	1	acta	acta	PROPN
ap-6132	185	2	polytechnica	polytechnica	PROPN
ap-6132	185	3	network	network	PROPN
ap-6132	185	4	mse	mse	PROPN
ap-6132	185	5	accuracy	accuracy	NOUN
ap-6132	185	6	(	(	PUNCT
ap-6132	185	7	%	%	INTJ
ap-6132	185	8	)	)	PUNCT
ap-6132	185	9	r2	r2	NOUN
ap-6132	185	10	architecture	architecture	NOUN
ap-6132	185	11	training	training	NOUN
ap-6132	185	12	testing	testing	NOUN
ap-6132	185	13	training	training	NOUN
ap-6132	185	14	testing	testing	NOUN
ap-6132	185	15	training	training	NOUN
ap-6132	185	16	testing	test	VERB
ap-6132	185	17	47	47	NUM
ap-6132	185	18	-	-	SYM
ap-6132	185	19	3	3	NUM
ap-6132	185	20	-	-	SYM
ap-6132	185	21	5	5	NUM
ap-6132	185	22	-	-	SYM
ap-6132	185	23	4	4	NUM
ap-6132	185	24	0.10346	0.10346	NUM
ap-6132	185	25	0.11357	0.11357	NUM
ap-6132	185	26	76.98	76.98	NUM
ap-6132	185	27	73.68	73.68	NUM
ap-6132	185	28	0.81	0.81	NUM
ap-6132	185	29	0.76	0.76	NUM
ap-6132	185	30	47	47	NUM
ap-6132	185	31	-	-	PUNCT
ap-6132	185	32	4	4	NUM
ap-6132	185	33	-	-	PUNCT
ap-6132	185	34	6	6	NUM
ap-6132	185	35	-	-	SYM
ap-6132	185	36	4	4	NUM
ap-6132	185	37	0.13084	0.13084	NUM
ap-6132	185	38	0.13547	0.13547	NUM
ap-6132	185	39	62	62	NUM
ap-6132	185	40	57.54	57.54	NUM
ap-6132	185	41	0.64	0.64	NUM
ap-6132	185	42	0.61	0.61	NUM
ap-6132	185	43	47	47	NUM
ap-6132	185	44	-	-	SYM
ap-6132	185	45	5	5	NUM
ap-6132	185	46	-	-	PUNCT
ap-6132	185	47	7	7	NUM
ap-6132	185	48	-	-	SYM
ap-6132	185	49	4	4	NUM
ap-6132	185	50	0.14889	0.14889	NUM
ap-6132	185	51	0.15884	0.15884	NUM
ap-6132	185	52	49.73	49.73	NUM
ap-6132	185	53	41.4	41.4	NUM
ap-6132	185	54	0.51	0.51	NUM
ap-6132	185	55	0.42	0.42	NUM
ap-6132	185	56	47	47	NUM
ap-6132	185	57	-	-	PUNCT
ap-6132	185	58	6	6	NUM
ap-6132	185	59	-	-	PUNCT
ap-6132	185	60	8	8	NUM
ap-6132	185	61	-	-	SYM
ap-6132	185	62	4	4	NUM
ap-6132	185	63	0.15388	0.15388	NUM
ap-6132	185	64	0.15874	0.15874	NUM
ap-6132	185	65	50.04	50.04	NUM
ap-6132	185	66	42.46	42.46	NUM
ap-6132	185	67	0.48	0.48	NUM
ap-6132	185	68	0.43	0.43	NUM
ap-6132	185	69	table	table	NOUN
ap-6132	185	70	1	1	NUM
ap-6132	185	71	.	.	PUNCT
ap-6132	186	1	backpropagation	backpropagation	NOUN
ap-6132	186	2	with	with	ADP
ap-6132	186	3	two	two	NUM
ap-6132	186	4	hidden	hidden	ADJ
ap-6132	186	5	layers	layer	NOUN
ap-6132	186	6	.	.	PUNCT
ap-6132	187	1	network	network	NOUN
ap-6132	187	2	mse	mse	PROPN
ap-6132	187	3	accuracy	accuracy	NOUN
ap-6132	187	4	(	(	PUNCT
ap-6132	187	5	%	%	INTJ
ap-6132	187	6	)	)	PUNCT
ap-6132	187	7	r2	r2	NOUN
ap-6132	187	8	architecture	architecture	NOUN
ap-6132	187	9	training	training	NOUN
ap-6132	187	10	testing	testing	NOUN
ap-6132	187	11	training	training	NOUN
ap-6132	187	12	testing	testing	NOUN
ap-6132	187	13	training	training	NOUN
ap-6132	187	14	testing	test	VERB
ap-6132	187	15	47	47	NUM
ap-6132	187	16	-	-	SYM
ap-6132	187	17	15	15	NUM
ap-6132	187	18	-	-	SYM
ap-6132	187	19	4	4	NUM
ap-6132	187	20	0.0721	0.0721	NUM
ap-6132	187	21	0.0773	0.0773	NUM
ap-6132	187	22	99.91	99.91	NUM
ap-6132	187	23	99.47	99.47	NUM
ap-6132	187	24	0.99	0.99	NUM
ap-6132	187	25	0.98	0.98	NUM
ap-6132	187	26	table	table	NOUN
ap-6132	187	27	2	2	NUM
ap-6132	187	28	.	.	PUNCT
ap-6132	187	29	backpropagation	backpropagation	NOUN
ap-6132	187	30	with	with	ADP
ap-6132	187	31	one	one	NUM
ap-6132	187	32	hidden	hide	VERB
ap-6132	187	33	layer	layer	NOUN
ap-6132	187	34	.	.	PUNCT
ap-6132	188	1	figure	figure	NOUN
ap-6132	188	2	1	1	NUM
ap-6132	188	3	.	.	PUNCT
ap-6132	188	4	identification	identification	NOUN
ap-6132	188	5	accuracy	accuracy	NOUN
ap-6132	188	6	percentage	percentage	NOUN
ap-6132	188	7	of	of	ADP
ap-6132	188	8	training	training	NOUN
ap-6132	188	9	data	data	NOUN
ap-6132	188	10	sets	set	NOUN
ap-6132	188	11	.	.	PUNCT
ap-6132	189	1	accuracy	accuracy	NOUN
ap-6132	189	2	.	.	PUNCT
ap-6132	190	1	however	however	ADV
ap-6132	190	2	,	,	PUNCT
ap-6132	190	3	the	the	DET
ap-6132	190	4	network	network	NOUN
ap-6132	190	5	architecture	architecture	NOUN
ap-6132	190	6	with	with	ADP
ap-6132	190	7	two	two	NUM
ap-6132	190	8	hidden	hidden	ADJ
ap-6132	190	9	layers	layer	NOUN
ap-6132	190	10	has	have	VERB
ap-6132	190	11	a	a	DET
ap-6132	190	12	slightly	slightly	ADV
ap-6132	190	13	lower	low	ADJ
ap-6132	190	14	accuracy	accuracy	NOUN
ap-6132	190	15	.	.	PUNCT
ap-6132	191	1	tables	table	NOUN
ap-6132	191	2	3	3	NUM
ap-6132	191	3	and	and	CCONJ
ap-6132	191	4	4	4	NUM
ap-6132	191	5	show	show	VERB
ap-6132	191	6	the	the	DET
ap-6132	191	7	two	two	NUM
ap-6132	191	8	-	-	PUNCT
ap-6132	191	9	layered	layer	VERB
ap-6132	191	10	resilient	resilient	ADJ
ap-6132	191	11	propagation	propagation	NOUN
ap-6132	191	12	with	with	ADP
ap-6132	191	13	deficient	deficient	ADJ
ap-6132	191	14	neurons	neuron	NOUN
ap-6132	191	15	performs	perform	VERB
ap-6132	191	16	better	well	ADJ
ap-6132	191	17	than	than	ADP
ap-6132	191	18	the	the	DET
ap-6132	191	19	single	single	ADJ
ap-6132	191	20	-	-	PUNCT
ap-6132	191	21	layer	layer	NOUN
ap-6132	191	22	having	have	VERB
ap-6132	191	23	more	more	ADJ
ap-6132	191	24	neurons	neuron	NOUN
ap-6132	191	25	.	.	PUNCT
ap-6132	192	1	this	this	PRON
ap-6132	192	2	is	be	AUX
ap-6132	192	3	in	in	ADP
ap-6132	192	4	line	line	NOUN
ap-6132	192	5	with	with	ADP
ap-6132	192	6	santra	santra	PROPN
ap-6132	192	7	et	et	PROPN
ap-6132	192	8	al	al	PROPN
ap-6132	192	9	.	.	PUNCT
ap-6132	193	1	[	[	X
ap-6132	193	2	24	24	NUM
ap-6132	193	3	]	]	PUNCT
ap-6132	193	4	,	,	PUNCT
ap-6132	193	5	which	which	PRON
ap-6132	193	6	established	establish	VERB
ap-6132	193	7	that	that	SCONJ
ap-6132	193	8	the	the	DET
ap-6132	193	9	performance	performance	NOUN
ap-6132	193	10	of	of	ADP
ap-6132	193	11	two	two	NUM
ap-6132	193	12	hidden	hidden	ADJ
ap-6132	193	13	layers	layer	NOUN
ap-6132	193	14	with	with	ADP
ap-6132	193	15	8	8	NUM
ap-6132	193	16	-	-	SYM
ap-6132	193	17	10	10	NUM
ap-6132	193	18	(	(	PUNCT
ap-6132	193	19	18	18	NUM
ap-6132	193	20	)	)	PUNCT
ap-6132	193	21	neurons	neuron	NOUN
ap-6132	193	22	is	be	AUX
ap-6132	193	23	better	well	ADJ
ap-6132	193	24	that	that	PRON
ap-6132	193	25	of	of	ADP
ap-6132	193	26	one	one	NUM
ap-6132	193	27	hidden	hide	VERB
ap-6132	193	28	layer	layer	NOUN
ap-6132	193	29	with	with	ADP
ap-6132	193	30	62	62	NUM
ap-6132	193	31	neurons	neuron	NOUN
ap-6132	193	32	.	.	PUNCT
ap-6132	194	1	the	the	DET
ap-6132	194	2	summary	summary	NOUN
ap-6132	194	3	of	of	ADP
ap-6132	194	4	the	the	DET
ap-6132	194	5	best	good	ADJ
ap-6132	194	6	identification	identification	NOUN
ap-6132	194	7	accuracy	accuracy	NOUN
ap-6132	194	8	and	and	CCONJ
ap-6132	194	9	determination	determination	NOUN
ap-6132	194	10	coefficient	coefficient	NOUN
ap-6132	194	11	are	be	AUX
ap-6132	194	12	shown	show	VERB
ap-6132	194	13	in	in	ADP
ap-6132	194	14	figures	figure	NOUN
ap-6132	194	15	1	1	NUM
ap-6132	194	16	,	,	PUNCT
ap-6132	194	17	2	2	NUM
ap-6132	194	18	,	,	PUNCT
ap-6132	194	19	3	3	NUM
ap-6132	194	20	and	and	CCONJ
ap-6132	194	21	4	4	NUM
ap-6132	194	22	,	,	PUNCT
ap-6132	194	23	respectively	respectively	ADV
ap-6132	194	24	.	.	PUNCT
ap-6132	195	1	for	for	ADP
ap-6132	195	2	each	each	DET
ap-6132	195	3	network	network	NOUN
ap-6132	195	4	architecture	architecture	NOUN
ap-6132	195	5	,	,	PUNCT
ap-6132	195	6	the	the	DET
ap-6132	195	7	smallest	small	ADJ
ap-6132	195	8	mse	mse	NOUN
ap-6132	195	9	in	in	ADP
ap-6132	195	10	training	training	NOUN
ap-6132	195	11	and	and	CCONJ
ap-6132	195	12	testing	testing	NOUN
ap-6132	195	13	data	datum	NOUN
ap-6132	195	14	sets	set	NOUN
ap-6132	195	15	are	be	AUX
ap-6132	195	16	shown	show	VERB
ap-6132	195	17	in	in	ADP
ap-6132	195	18	figures	figure	NOUN
ap-6132	195	19	5	5	NUM
ap-6132	195	20	and	and	CCONJ
ap-6132	195	21	6	6	NUM
ap-6132	195	22	,	,	PUNCT
ap-6132	195	23	respectively	respectively	ADV
ap-6132	195	24	.	.	PUNCT
ap-6132	196	1	the	the	DET
ap-6132	196	2	results	result	NOUN
ap-6132	196	3	of	of	ADP
ap-6132	196	4	the	the	DET
ap-6132	196	5	identification	identification	NOUN
ap-6132	196	6	from	from	ADP
ap-6132	196	7	the	the	DET
ap-6132	196	8	origins	origin	NOUN
ap-6132	196	9	of	of	ADP
ap-6132	196	10	clove	clove	NOUN
ap-6132	196	11	buds	bud	NOUN
ap-6132	196	12	have	have	AUX
ap-6132	196	13	been	be	AUX
ap-6132	196	14	obtained	obtain	VERB
ap-6132	196	15	.	.	PUNCT
ap-6132	197	1	in	in	ADP
ap-6132	197	2	small	small	ADJ
ap-6132	197	3	data	datum	NOUN
ap-6132	197	4	set	set	VERB
ap-6132	197	5	categories	category	NOUN
ap-6132	197	6	,	,	PUNCT
ap-6132	197	7	backpropagation	backpropagation	NOUN
ap-6132	197	8	with	with	ADP
ap-6132	197	9	one	one	NUM
ap-6132	197	10	hidden	hide	VERB
ap-6132	197	11	layer	layer	NOUN
ap-6132	197	12	provides	provide	VERB
ap-6132	197	13	an	an	DET
ap-6132	197	14	accurate	accurate	ADJ
ap-6132	197	15	identification	identification	NOUN
ap-6132	197	16	in	in	ADP
ap-6132	197	17	the	the	DET
ap-6132	197	18	training	training	NOUN
ap-6132	197	19	and	and	CCONJ
ap-6132	197	20	testing	testing	NOUN
ap-6132	197	21	data	datum	NOUN
ap-6132	197	22	sets	set	NOUN
ap-6132	197	23	.	.	PUNCT
ap-6132	198	1	it	it	PRON
ap-6132	198	2	accurately	accurately	ADV
ap-6132	198	3	identifies	identify	VERB
ap-6132	198	4	the	the	DET
ap-6132	198	5	origins	origin	NOUN
ap-6132	198	6	of	of	ADP
ap-6132	198	7	clove	clove	NOUN
ap-6132	198	8	buds	bud	NOUN
ap-6132	198	9	obtained	obtain	VERB
ap-6132	198	10	using	use	VERB
ap-6132	198	11	the	the	DET
ap-6132	198	12	resilient	resilient	ADJ
ap-6132	198	13	propagation	propagation	NOUN
ap-6132	198	14	algorithm	algorithm	NOUN
ap-6132	198	15	with	with	ADP
ap-6132	198	16	two	two	NUM
ap-6132	198	17	hidden	hidden	ADJ
ap-6132	198	18	layers	layer	NOUN
ap-6132	198	19	.	.	PUNCT
ap-6132	199	1	the	the	DET
ap-6132	199	2	neural	neural	ADJ
ap-6132	199	3	networks	network	NOUN
ap-6132	199	4	model	model	NOUN
ap-6132	199	5	obtained	obtain	VERB
ap-6132	199	6	in	in	ADP
ap-6132	199	7	this	this	DET
ap-6132	199	8	paper	paper	NOUN
ap-6132	199	9	can	can	AUX
ap-6132	199	10	be	be	AUX
ap-6132	199	11	a	a	DET
ap-6132	199	12	reference	reference	NOUN
ap-6132	199	13	from	from	ADP
ap-6132	199	14	a	a	DET
ap-6132	199	15	scientific	scientific	ADJ
ap-6132	199	16	perspective	perspective	NOUN
ap-6132	199	17	.	.	PUNCT
ap-6132	200	1	for	for	ADP
ap-6132	200	2	instance	instance	NOUN
ap-6132	200	3	,	,	PUNCT
ap-6132	200	4	it	it	PRON
ap-6132	200	5	can	can	AUX
ap-6132	200	6	be	be	AUX
ap-6132	200	7	used	use	VERB
ap-6132	200	8	in	in	ADP
ap-6132	200	9	future	future	ADJ
ap-6132	200	10	studies	study	NOUN
ap-6132	200	11	to	to	PART
ap-6132	200	12	identify	identify	VERB
ap-6132	200	13	the	the	DET
ap-6132	200	14	figure	figure	NOUN
ap-6132	200	15	2	2	NUM
ap-6132	200	16	.	.	NOUN
ap-6132	200	17	identification	identification	NOUN
ap-6132	200	18	accuracy	accuracy	NOUN
ap-6132	200	19	percentage	percentage	NOUN
ap-6132	200	20	of	of	ADP
ap-6132	200	21	testing	testing	NOUN
ap-6132	200	22	data	datum	NOUN
ap-6132	200	23	sets	set	NOUN
ap-6132	200	24	.	.	PUNCT
ap-6132	201	1	figure	figure	NOUN
ap-6132	201	2	3	3	NUM
ap-6132	201	3	.	.	PUNCT
ap-6132	202	1	determination	determination	NOUN
ap-6132	202	2	coefficient	coefficient	NOUN
ap-6132	202	3	of	of	ADP
ap-6132	202	4	training	training	NOUN
ap-6132	202	5	data	datum	NOUN
ap-6132	202	6	sets	set	NOUN
ap-6132	202	7	.	.	PUNCT
ap-6132	203	1	444	444	NUM
ap-6132	203	2	vol	vol	NOUN
ap-6132	203	3	.	.	PUNCT
ap-6132	204	1	60	60	NUM
ap-6132	204	2	no	no	NOUN
ap-6132	204	3	.	.	PUNCT
ap-6132	205	1	5/2020	5/2020	NUM
ap-6132	205	2	artificial	artificial	ADJ
ap-6132	205	3	neural	neural	ADJ
ap-6132	205	4	network	network	NOUN
ap-6132	205	5	approach	approach	NOUN
ap-6132	205	6	for	for	ADP
ap-6132	205	7	the	the	DET
ap-6132	205	8	identification	identification	NOUN
ap-6132	205	9	.	.	PUNCT
ap-6132	205	10	.	.	PUNCT
ap-6132	205	11	.	.	PUNCT
ap-6132	206	1	network	network	NOUN
ap-6132	206	2	mse	mse	PROPN
ap-6132	206	3	accuracy	accuracy	NOUN
ap-6132	206	4	(	(	PUNCT
ap-6132	206	5	%	%	INTJ
ap-6132	206	6	)	)	PUNCT
ap-6132	206	7	r2	r2	NOUN
ap-6132	206	8	architecture	architecture	NOUN
ap-6132	206	9	training	training	NOUN
ap-6132	206	10	testing	testing	NOUN
ap-6132	206	11	training	training	NOUN
ap-6132	206	12	testing	testing	NOUN
ap-6132	206	13	training	training	NOUN
ap-6132	206	14	testing	test	VERB
ap-6132	206	15	47	47	NUM
ap-6132	206	16	-	-	SYM
ap-6132	206	17	3	3	NUM
ap-6132	206	18	-	-	SYM
ap-6132	206	19	5	5	NUM
ap-6132	206	20	-	-	SYM
ap-6132	206	21	4	4	NUM
ap-6132	206	22	0.07209	0.07209	NUM
ap-6132	206	23	0.08111	0.08111	NUM
ap-6132	206	24	99.73	99.73	NUM
ap-6132	206	25	97.37	97.37	NUM
ap-6132	206	26	0.98	0.98	NUM
ap-6132	206	27	0.95	0.95	NUM
ap-6132	206	28	47	47	NUM
ap-6132	206	29	-	-	PUNCT
ap-6132	206	30	4	4	NUM
ap-6132	206	31	-	-	PUNCT
ap-6132	206	32	6	6	NUM
ap-6132	206	33	-	-	SYM
ap-6132	206	34	4	4	NUM
ap-6132	206	35	0.07162	0.07162	NUM
ap-6132	206	36	0.08316	0.08316	NUM
ap-6132	206	37	99.69	99.69	NUM
ap-6132	206	38	96.49	96.49	NUM
ap-6132	206	39	0.99	0.99	NUM
ap-6132	206	40	0.94	0.94	NUM
ap-6132	206	41	47	47	NUM
ap-6132	206	42	-	-	SYM
ap-6132	206	43	5	5	NUM
ap-6132	206	44	-	-	PUNCT
ap-6132	206	45	7	7	NUM
ap-6132	206	46	-	-	SYM
ap-6132	206	47	4	4	NUM
ap-6132	206	48	0.07160	0.07160	NUM
ap-6132	206	49	0.07961	0.07961	NUM
ap-6132	206	50	99.96	99.96	NUM
ap-6132	206	51	97.89	97.89	NUM
ap-6132	206	52	0.99	0.99	NUM
ap-6132	206	53	0.96	0.96	NUM
ap-6132	206	54	47	47	NUM
ap-6132	206	55	-	-	SYM
ap-6132	206	56	6	6	NUM
ap-6132	206	57	-	-	PUNCT
ap-6132	206	58	8	8	NUM
ap-6132	206	59	-	-	SYM
ap-6132	206	60	4	4	NUM
ap-6132	206	61	0.07160	0.07160	NUM
ap-6132	206	62	0.07978	0.07978	NUM
ap-6132	206	63	99.78	99.78	NUM
ap-6132	206	64	97.72	97.72	NUM
ap-6132	206	65	0.99	0.99	NUM
ap-6132	206	66	0.96	0.96	NUM
ap-6132	206	67	table	table	NOUN
ap-6132	206	68	3	3	NUM
ap-6132	206	69	.	.	PUNCT
ap-6132	206	70	resilient	resilient	ADJ
ap-6132	206	71	propagation	propagation	NOUN
ap-6132	206	72	with	with	ADP
ap-6132	206	73	two	two	NUM
ap-6132	206	74	hidden	hidden	ADJ
ap-6132	206	75	layers	layer	NOUN
ap-6132	206	76	.	.	PUNCT
ap-6132	207	1	network	network	NOUN
ap-6132	207	2	mse	mse	PROPN
ap-6132	207	3	accuracy	accuracy	NOUN
ap-6132	207	4	(	(	PUNCT
ap-6132	207	5	%	%	INTJ
ap-6132	207	6	)	)	PUNCT
ap-6132	207	7	r2	r2	NOUN
ap-6132	207	8	architecture	architecture	NOUN
ap-6132	207	9	training	training	NOUN
ap-6132	207	10	testing	testing	NOUN
ap-6132	207	11	training	training	NOUN
ap-6132	207	12	testing	testing	NOUN
ap-6132	207	13	training	training	NOUN
ap-6132	207	14	testing	test	VERB
ap-6132	207	15	47	47	NUM
ap-6132	207	16	-	-	SYM
ap-6132	207	17	15	15	NUM
ap-6132	207	18	-	-	SYM
ap-6132	207	19	4	4	NUM
ap-6132	207	20	0.07158	0.07158	NUM
ap-6132	207	21	0.07932	0.07932	NUM
ap-6132	207	22	99.86	99.86	NUM
ap-6132	207	23	94.74	94.74	NUM
ap-6132	207	24	0.99	0.99	NUM
ap-6132	207	25	0.92	0.92	NUM
ap-6132	207	26	table	table	NOUN
ap-6132	207	27	4	4	NUM
ap-6132	207	28	.	.	PUNCT
ap-6132	208	1	resilient	resilient	ADJ
ap-6132	208	2	propagation	propagation	NOUN
ap-6132	208	3	with	with	ADP
ap-6132	208	4	one	one	NUM
ap-6132	208	5	hidden	hide	VERB
ap-6132	208	6	layer	layer	NOUN
ap-6132	208	7	.	.	PUNCT
ap-6132	209	1	figure	figure	NOUN
ap-6132	209	2	4	4	NUM
ap-6132	209	3	.	.	PUNCT
ap-6132	210	1	determination	determination	NOUN
ap-6132	210	2	coefficient	coefficient	NOUN
ap-6132	210	3	of	of	ADP
ap-6132	210	4	testing	test	VERB
ap-6132	210	5	data	datum	NOUN
ap-6132	210	6	sets	set	NOUN
ap-6132	210	7	.	.	PUNCT
ap-6132	211	1	figure	figure	NOUN
ap-6132	211	2	5	5	NUM
ap-6132	211	3	.	.	PUNCT
ap-6132	212	1	mse	mse	NOUN
ap-6132	212	2	of	of	ADP
ap-6132	212	3	training	training	NOUN
ap-6132	212	4	data	data	NOUN
ap-6132	212	5	sets	set	NOUN
ap-6132	212	6	.	.	PUNCT
ap-6132	213	1	figure	figure	VERB
ap-6132	213	2	6	6	NUM
ap-6132	213	3	.	.	PUNCT
ap-6132	214	1	mse	mse	NOUN
ap-6132	214	2	of	of	ADP
ap-6132	214	3	testing	test	VERB
ap-6132	214	4	data	datum	NOUN
ap-6132	214	5	sets	set	NOUN
ap-6132	214	6	.	.	PUNCT
ap-6132	215	1	origin	origin	NOUN
ap-6132	215	2	of	of	ADP
ap-6132	215	3	various	various	ADJ
ap-6132	215	4	plantation	plantation	NOUN
ap-6132	215	5	commodities	commodity	NOUN
ap-6132	215	6	with	with	ADP
ap-6132	215	7	small	small	ADJ
ap-6132	215	8	metabolites	metabolite	NOUN
ap-6132	215	9	data	datum	NOUN
ap-6132	215	10	sets	set	NOUN
ap-6132	215	11	.	.	PUNCT
ap-6132	216	1	at	at	ADP
ap-6132	216	2	the	the	DET
ap-6132	216	3	moment	moment	NOUN
ap-6132	216	4	,	,	PUNCT
ap-6132	216	5	the	the	DET
ap-6132	216	6	most	most	ADV
ap-6132	216	7	appropriate	appropriate	ADJ
ap-6132	216	8	way	way	NOUN
ap-6132	216	9	of	of	ADP
ap-6132	216	10	determining	determine	VERB
ap-6132	216	11	the	the	DET
ap-6132	216	12	origin	origin	NOUN
ap-6132	216	13	of	of	ADP
ap-6132	216	14	a	a	DET
ap-6132	216	15	plantation	plantation	NOUN
ap-6132	216	16	commodity	commodity	NOUN
ap-6132	216	17	is	be	AUX
ap-6132	216	18	qualitative	qualitative	ADJ
ap-6132	216	19	,	,	PUNCT
ap-6132	216	20	relying	rely	VERB
ap-6132	216	21	on	on	ADP
ap-6132	216	22	the	the	DET
ap-6132	216	23	services	service	NOUN
ap-6132	216	24	of	of	ADP
ap-6132	216	25	flavourist	flavourist	NOUN
ap-6132	216	26	to	to	PART
ap-6132	216	27	evaluate	evaluate	VERB
ap-6132	216	28	the	the	DET
ap-6132	216	29	flavour	flavour	NOUN
ap-6132	216	30	and	and	CCONJ
ap-6132	216	31	taste	taste	NOUN
ap-6132	216	32	.	.	PUNCT
ap-6132	217	1	this	this	PRON
ap-6132	217	2	is	be	AUX
ap-6132	217	3	because	because	SCONJ
ap-6132	217	4	each	each	DET
ap-6132	217	5	commodity	commodity	NOUN
ap-6132	217	6	has	have	VERB
ap-6132	217	7	a	a	DET
ap-6132	217	8	specific	specific	ADJ
ap-6132	217	9	flavour	flavour	NOUN
ap-6132	217	10	and	and	CCONJ
ap-6132	217	11	taste	taste	NOUN
ap-6132	217	12	based	base	VERB
ap-6132	217	13	on	on	ADP
ap-6132	217	14	the	the	DET
ap-6132	217	15	origin	origin	NOUN
ap-6132	217	16	of	of	ADP
ap-6132	217	17	its	its	PRON
ap-6132	217	18	region	region	NOUN
ap-6132	217	19	.	.	PUNCT
ap-6132	218	1	furthermore	furthermore	ADV
ap-6132	218	2	,	,	PUNCT
ap-6132	218	3	the	the	DET
ap-6132	218	4	different	different	ADJ
ap-6132	218	5	origins	origin	NOUN
ap-6132	218	6	of	of	ADP
ap-6132	218	7	clove	clove	NOUN
ap-6132	218	8	buds	bud	NOUN
ap-6132	218	9	data	data	NOUN
ap-6132	218	10	sets	set	NOUN
ap-6132	218	11	have	have	AUX
ap-6132	218	12	not	not	PART
ap-6132	218	13	been	be	AUX
ap-6132	218	14	reported	report	VERB
ap-6132	218	15	in	in	ADP
ap-6132	218	16	the	the	DET
ap-6132	218	17	literature	literature	NOUN
ap-6132	218	18	and	and	CCONJ
ap-6132	218	19	thus	thus	ADV
ap-6132	218	20	no	no	DET
ap-6132	218	21	direct	direct	ADJ
ap-6132	218	22	comparison	comparison	NOUN
ap-6132	218	23	can	can	AUX
ap-6132	218	24	be	be	AUX
ap-6132	218	25	presented	present	VERB
ap-6132	218	26	in	in	ADP
ap-6132	218	27	this	this	DET
ap-6132	218	28	paper	paper	NOUN
ap-6132	218	29	.	.	PUNCT
ap-6132	219	1	4	4	X
ap-6132	219	2	.	.	X
ap-6132	219	3	conclusions	conclusion	NOUN
ap-6132	219	4	this	this	DET
ap-6132	219	5	paper	paper	NOUN
ap-6132	219	6	demonstrated	demonstrate	VERB
ap-6132	219	7	the	the	DET
ap-6132	219	8	potential	potential	NOUN
ap-6132	219	9	and	and	CCONJ
ap-6132	219	10	ability	ability	NOUN
ap-6132	219	11	of	of	ADP
ap-6132	219	12	a	a	DET
ap-6132	219	13	neural	neural	ADJ
ap-6132	219	14	network	network	NOUN
ap-6132	219	15	approach	approach	NOUN
ap-6132	219	16	with	with	ADP
ap-6132	219	17	backpropagation	backpropagation	NOUN
ap-6132	219	18	and	and	CCONJ
ap-6132	219	19	resilient	resilient	ADJ
ap-6132	219	20	propagation	propagation	NOUN
ap-6132	219	21	learning	learn	VERB
ap-6132	219	22	algorithms	algorithm	NOUN
ap-6132	219	23	.	.	PUNCT
ap-6132	220	1	it	it	PRON
ap-6132	220	2	was	be	AUX
ap-6132	220	3	meant	mean	VERB
ap-6132	220	4	to	to	PART
ap-6132	220	5	identify	identify	VERB
ap-6132	220	6	the	the	DET
ap-6132	220	7	clove	clove	NOUN
ap-6132	220	8	buds	bud	NOUN
ap-6132	220	9	origin	origin	NOUN
ap-6132	220	10	based	base	VERB
ap-6132	220	11	on	on	ADP
ap-6132	220	12	metabolites	metabolite	NOUN
ap-6132	220	13	composition	composition	NOUN
ap-6132	220	14	.	.	PUNCT
ap-6132	221	1	the	the	DET
ap-6132	221	2	work	work	NOUN
ap-6132	221	3	was	be	AUX
ap-6132	221	4	divided	divide	VERB
ap-6132	221	5	into	into	ADP
ap-6132	221	6	two	two	NUM
ap-6132	221	7	parts	part	NOUN
ap-6132	221	8	,	,	PUNCT
ap-6132	221	9	the	the	DET
ap-6132	221	10	first	first	ADJ
ap-6132	221	11	one	one	NUM
ap-6132	221	12	being	be	AUX
ap-6132	221	13	an	an	DET
ap-6132	221	14	identification	identification	NOUN
ap-6132	221	15	of	of	ADP
ap-6132	221	16	the	the	DET
ap-6132	221	17	clove	clove	NOUN
ap-6132	221	18	buds	bud	NOUN
ap-6132	221	19	origin	origin	NOUN
ap-6132	221	20	using	use	VERB
ap-6132	221	21	the	the	DET
ap-6132	221	22	backpropagation	backpropagation	NOUN
ap-6132	221	23	learning	learning	NOUN
ap-6132	221	24	algorithm	algorithm	NOUN
ap-6132	221	25	.	.	PUNCT
ap-6132	222	1	in	in	ADP
ap-6132	222	2	this	this	DET
ap-6132	222	3	algorithm	algorithm	NOUN
ap-6132	222	4	,	,	PUNCT
ap-6132	222	5	two	two	NUM
ap-6132	222	6	network	network	NOUN
ap-6132	222	7	architectures	architecture	NOUN
ap-6132	222	8	were	be	AUX
ap-6132	222	9	constructed	construct	VERB
ap-6132	222	10	.	.	PUNCT
ap-6132	223	1	one	one	NUM
ap-6132	223	2	having	have	VERB
ap-6132	223	3	a	a	DET
ap-6132	223	4	single	single	ADJ
ap-6132	223	5	hidden	hide	VERB
ap-6132	223	6	layer	layer	NOUN
ap-6132	223	7	and	and	CCONJ
ap-6132	223	8	the	the	DET
ap-6132	223	9	second	second	ADJ
ap-6132	223	10	one	one	NOUN
ap-6132	223	11	having	have	VERB
ap-6132	223	12	two	two	NUM
ap-6132	223	13	.	.	PUNCT
ap-6132	224	1	the	the	DET
ap-6132	224	2	results	result	NOUN
ap-6132	224	3	showed	show	VERB
ap-6132	224	4	that	that	SCONJ
ap-6132	224	5	the	the	DET
ap-6132	224	6	use	use	NOUN
ap-6132	224	7	of	of	ADP
ap-6132	224	8	one	one	NUM
ap-6132	224	9	hidden	hide	VERB
ap-6132	224	10	layer	layer	NOUN
ap-6132	224	11	gives	give	VERB
ap-6132	224	12	the	the	DET
ap-6132	224	13	clove	clove	NOUN
ap-6132	224	14	buds	bud	NOUN
ap-6132	224	15	origin	origin	VERB
ap-6132	224	16	identification	identification	NOUN
ap-6132	224	17	accurately	accurately	ADV
ap-6132	224	18	,	,	PUNCT
ap-6132	224	19	specifically	specifically	ADV
ap-6132	224	20	99.91	99.91	NUM
ap-6132	224	21	%	%	NOUN
ap-6132	224	22	445	445	NUM
ap-6132	224	23	rustam	rustam	NOUN
ap-6132	224	24	,	,	PUNCT
ap-6132	224	25	a.	a.	PROPN
ap-6132	224	26	y.	y.	PROPN
ap-6132	224	27	gunawan	gunawan	PROPN
ap-6132	224	28	,	,	PUNCT
ap-6132	224	29	m.	m.	NOUN
ap-6132	224	30	t.	t.	PROPN
ap-6132	224	31	a.	a.	PROPN
ap-6132	224	32	p.	p.	PROPN
ap-6132	224	33	kresnowati	kresnowati	PROPN
ap-6132	224	34	acta	acta	PROPN
ap-6132	224	35	polytechnica	polytechnica	PROPN
ap-6132	224	36	and	and	CCONJ
ap-6132	224	37	99.47	99.47	NUM
ap-6132	224	38	%	%	NOUN
ap-6132	224	39	in	in	ADP
ap-6132	224	40	training	training	NOUN
ap-6132	224	41	and	and	CCONJ
ap-6132	224	42	testing	testing	NOUN
ap-6132	224	43	data	datum	NOUN
ap-6132	224	44	sets	set	NOUN
ap-6132	224	45	,	,	PUNCT
ap-6132	224	46	respectively	respectively	ADV
ap-6132	224	47	.	.	PUNCT
ap-6132	225	1	the	the	DET
ap-6132	225	2	second	second	ADJ
ap-6132	225	3	step	step	NOUN
ap-6132	225	4	involved	involve	VERB
ap-6132	225	5	the	the	DET
ap-6132	225	6	identification	identification	NOUN
ap-6132	225	7	of	of	ADP
ap-6132	225	8	the	the	DET
ap-6132	225	9	clove	clove	NOUN
ap-6132	225	10	buds	bud	NOUN
ap-6132	225	11	origin	origin	NOUN
ap-6132	225	12	using	use	VERB
ap-6132	225	13	a	a	DET
ap-6132	225	14	resilient	resilient	ADJ
ap-6132	225	15	propagation	propagation	NOUN
ap-6132	225	16	learning	learn	VERB
ap-6132	225	17	algorithm	algorithm	NOUN
ap-6132	225	18	.	.	PUNCT
ap-6132	226	1	in	in	ADP
ap-6132	226	2	this	this	DET
ap-6132	226	3	algorithm	algorithm	NOUN
ap-6132	226	4	,	,	PUNCT
ap-6132	226	5	two	two	NUM
ap-6132	226	6	network	network	NOUN
ap-6132	226	7	architectures	architecture	NOUN
ap-6132	226	8	were	be	AUX
ap-6132	226	9	constructed	construct	VERB
ap-6132	226	10	.	.	PUNCT
ap-6132	227	1	one	one	NUM
ap-6132	227	2	having	have	VERB
ap-6132	227	3	a	a	DET
ap-6132	227	4	single	single	ADJ
ap-6132	227	5	hidden	hide	VERB
ap-6132	227	6	layer	layer	NOUN
ap-6132	227	7	and	and	CCONJ
ap-6132	227	8	the	the	DET
ap-6132	227	9	second	second	ADJ
ap-6132	227	10	one	one	NOUN
ap-6132	227	11	having	have	VERB
ap-6132	227	12	two	two	NUM
ap-6132	227	13	.	.	PUNCT
ap-6132	228	1	the	the	DET
ap-6132	228	2	results	result	NOUN
ap-6132	228	3	showed	show	VERB
ap-6132	228	4	that	that	SCONJ
ap-6132	228	5	the	the	DET
ap-6132	228	6	use	use	NOUN
ap-6132	228	7	of	of	ADP
ap-6132	228	8	two	two	NUM
ap-6132	228	9	hidden	hidden	ADJ
ap-6132	228	10	layers	layer	NOUN
ap-6132	228	11	gives	give	VERB
ap-6132	228	12	an	an	DET
ap-6132	228	13	accurate	accurate	ADJ
ap-6132	228	14	clove	clove	NOUN
ap-6132	228	15	buds	bud	NOUN
ap-6132	228	16	origin	origin	NOUN
ap-6132	228	17	identification	identification	NOUN
ap-6132	228	18	,	,	PUNCT
ap-6132	228	19	including	include	VERB
ap-6132	228	20	99.96	99.96	NUM
ap-6132	228	21	%	%	NOUN
ap-6132	228	22	and	and	CCONJ
ap-6132	228	23	97.89	97.89	NUM
ap-6132	228	24	%	%	NOUN
ap-6132	228	25	in	in	ADP
ap-6132	228	26	training	training	NOUN
ap-6132	228	27	and	and	CCONJ
ap-6132	228	28	testing	testing	NOUN
ap-6132	228	29	data	datum	NOUN
ap-6132	228	30	sets	set	NOUN
ap-6132	228	31	,	,	PUNCT
ap-6132	228	32	respectively	respectively	ADV
ap-6132	228	33	.	.	PUNCT
ap-6132	229	1	from	from	ADP
ap-6132	229	2	these	these	DET
ap-6132	229	3	results	result	NOUN
ap-6132	229	4	,	,	PUNCT
ap-6132	229	5	it	it	PRON
ap-6132	229	6	was	be	AUX
ap-6132	229	7	concluded	conclude	VERB
ap-6132	229	8	that	that	SCONJ
ap-6132	229	9	for	for	ADP
ap-6132	229	10	an	an	DET
ap-6132	229	11	identification	identification	NOUN
ap-6132	229	12	of	of	ADP
ap-6132	229	13	small	small	ADJ
ap-6132	229	14	metabolites	metabolite	NOUN
ap-6132	229	15	data	datum	NOUN
ap-6132	229	16	sets	set	NOUN
ap-6132	229	17	from	from	ADP
ap-6132	229	18	a	a	DET
ap-6132	229	19	plantation	plantation	NOUN
ap-6132	229	20	commodity	commodity	NOUN
ap-6132	229	21	,	,	PUNCT
ap-6132	229	22	the	the	DET
ap-6132	229	23	backpropagation	backpropagation	NOUN
ap-6132	229	24	algorithm	algorithm	NOUN
ap-6132	229	25	with	with	ADP
ap-6132	229	26	one	one	NUM
ap-6132	229	27	hidden	hide	VERB
ap-6132	229	28	layer	layer	NOUN
ap-6132	229	29	and	and	CCONJ
ap-6132	229	30	the	the	DET
ap-6132	229	31	resilient	resilient	ADJ
ap-6132	229	32	propagation	propagation	NOUN
ap-6132	229	33	algorithm	algorithm	NOUN
ap-6132	229	34	with	with	ADP
ap-6132	229	35	two	two	NUM
ap-6132	229	36	hidden	hidden	ADJ
ap-6132	229	37	layers	layer	NOUN
ap-6132	229	38	should	should	AUX
ap-6132	229	39	be	be	AUX
ap-6132	229	40	used	use	VERB
ap-6132	229	41	.	.	PUNCT
ap-6132	230	1	this	this	DET
ap-6132	230	2	paper	paper	NOUN
ap-6132	230	3	also	also	ADV
ap-6132	230	4	confirmed	confirm	VERB
ap-6132	230	5	the	the	DET
ap-6132	230	6	contribution	contribution	NOUN
ap-6132	230	7	of	of	ADP
ap-6132	230	8	artificial	artificial	ADJ
ap-6132	230	9	neural	neural	ADJ
ap-6132	230	10	networks	network	NOUN
ap-6132	230	11	to	to	ADP
ap-6132	230	12	the	the	DET
ap-6132	230	13	pattern	pattern	NOUN
ap-6132	230	14	recognition	recognition	NOUN
ap-6132	230	15	of	of	ADP
ap-6132	230	16	metabolites	metabolite	NOUN
ap-6132	230	17	data	datum	NOUN
ap-6132	230	18	sets	set	NOUN
ap-6132	230	19	obtained	obtain	VERB
ap-6132	230	20	by	by	ADP
ap-6132	230	21	the	the	DET
ap-6132	230	22	metabolic	metabolic	NOUN
ap-6132	230	23	profiling	profiling	NOUN
ap-6132	230	24	technique	technique	NOUN
ap-6132	230	25	.	.	PUNCT
ap-6132	231	1	acknowledgements	acknowledgement	NOUN
ap-6132	231	2	the	the	DET
ap-6132	231	3	authors	author	NOUN
ap-6132	231	4	express	express	VERB
ap-6132	231	5	gratitude	gratitude	NOUN
ap-6132	231	6	to	to	ADP
ap-6132	231	7	the	the	DET
ap-6132	231	8	government	government	NOUN
ap-6132	231	9	of	of	ADP
ap-6132	231	10	indonesia	indonesia	PROPN
ap-6132	231	11	,	,	PUNCT
ap-6132	231	12	especially	especially	ADV
ap-6132	231	13	endowment	endowment	ADJ
ap-6132	231	14	fund	fund	NOUN
ap-6132	231	15	for	for	ADP
ap-6132	231	16	education	education	NOUN
ap-6132	231	17	(	(	PUNCT
ap-6132	231	18	lpdp	lpdp	PROPN
ap-6132	231	19	lembaga	lembaga	PROPN
ap-6132	231	20	pengelola	pengelola	PROPN
ap-6132	231	21	dana	dana	PROPN
ap-6132	231	22	pendidikan	pendidikan	PROPN
ap-6132	231	23	)	)	PUNCT
ap-6132	231	24	,	,	PUNCT
ap-6132	231	25	for	for	ADP
ap-6132	231	26	its	its	PRON
ap-6132	231	27	funding	funding	NOUN
ap-6132	231	28	.	.	PUNCT
ap-6132	232	1	references	reference	NOUN
ap-6132	232	2	[	[	X
ap-6132	232	3	1	1	NUM
ap-6132	232	4	]	]	PUNCT
ap-6132	232	5	l.	l.	PROPN
ap-6132	232	6	broto	broto	PROPN
ap-6132	232	7	.	.	PUNCT
ap-6132	233	1	derivatisasi	derivatisasi	PROPN
ap-6132	233	2	minyak	minyak	PROPN
ap-6132	233	3	cengkeh	cengkeh	PROPN
ap-6132	233	4	,	,	PUNCT
ap-6132	233	5	dalam	dalam	PROPN
ap-6132	233	6	cengkeh	cengkeh	NOUN
ap-6132	233	7	:	:	PUNCT
ap-6132	233	8	sejarah	sejarah	PROPN
ap-6132	233	9	,	,	PUNCT
ap-6132	233	10	budidaya	budidaya	PROPN
ap-6132	233	11	dan	dan	PROPN
ap-6132	233	12	industri	industri	PROPN
ap-6132	233	13	,	,	PUNCT
ap-6132	233	14	chap	chap	NOUN
ap-6132	233	15	.	.	PUNCT
ap-6132	234	1	23	23	NUM
ap-6132	234	2	.	.	PUNCT
ap-6132	235	1	indesco	indesco	PROPN
ap-6132	235	2	jakarta	jakarta	PROPN
ap-6132	235	3	dan	dan	PROPN
ap-6132	235	4	biologi	biologi	PROPN
ap-6132	235	5	uksw	uksw	PROPN
ap-6132	235	6	salatiga	salatiga	PROPN
ap-6132	235	7	,	,	PUNCT
ap-6132	235	8	2014	2014	NUM
ap-6132	235	9	(	(	PUNCT
ap-6132	235	10	in	in	ADP
ap-6132	235	11	indonesian	indonesian	ADJ
ap-6132	235	12	)	)	PUNCT
ap-6132	235	13	.	.	PUNCT
ap-6132	236	1	[	[	X
ap-6132	236	2	2	2	X
ap-6132	236	3	]	]	X
ap-6132	236	4	coffeeland	coffeeland	NOUN
ap-6132	236	5	2010	2010	NUM
ap-6132	236	6	.	.	PUNCT
ap-6132	237	1	jenis	jenis	PROPN
ap-6132	237	2	kopi	kopi	PROPN
ap-6132	237	3	arabika	arabika	PROPN
ap-6132	237	4	terbaik	terbaik	PROPN
ap-6132	237	5	dari	dari	PROPN
ap-6132	237	6	berbagai	berbagai	PROPN
ap-6132	237	7	daerah	daerah	PROPN
ap-6132	237	8	di	di	PROPN
ap-6132	237	9	indonesia	indonesia	PROPN
ap-6132	237	10	(	(	PUNCT
ap-6132	237	11	in	in	ADP
ap-6132	237	12	indonesian	indonesian	ADJ
ap-6132	237	13	)	)	PUNCT
ap-6132	237	14	.	.	PUNCT
ap-6132	238	1	https://	https://	PROPN
ap-6132	238	2	coffeeland.co.id/product-category/kopi-supply/.	coffeeland.co.id/product-category/kopi-supply/.	NOUN
ap-6132	239	1	[	[	X
ap-6132	239	2	3	3	NUM
ap-6132	239	3	]	]	PUNCT
ap-6132	239	4	m.	m.	NOUN
ap-6132	239	5	t.	t.	PROPN
ap-6132	239	6	a.	a.	PROPN
ap-6132	239	7	p.	p.	PROPN
ap-6132	239	8	kresnowati	kresnowati	PROPN
ap-6132	239	9	,	,	PUNCT
ap-6132	239	10	r.	r.	PROPN
ap-6132	239	11	purwadi	purwadi	PROPN
ap-6132	239	12	,	,	PUNCT
ap-6132	239	13	m.	m.	NOUN
ap-6132	239	14	zunita	zunita	PROPN
ap-6132	239	15	,	,	PUNCT
ap-6132	239	16	et	et	PROPN
ap-6132	239	17	al	al	PROPN
ap-6132	239	18	.	.	PROPN
ap-6132	239	19	metabolite	metabolite	PROPN
ap-6132	239	20	profiling	profiling	NOUN
ap-6132	239	21	of	of	ADP
ap-6132	239	22	four	four	NUM
ap-6132	239	23	origins	origin	NOUN
ap-6132	239	24	indonesian	indonesian	ADJ
ap-6132	239	25	clove	clove	NOUN
ap-6132	239	26	buds	bud	NOUN
ap-6132	239	27	using	use	VERB
ap-6132	239	28	multivariate	multivariate	NOUN
ap-6132	239	29	analysis	analysis	NOUN
ap-6132	239	30	.	.	PUNCT
ap-6132	240	1	report	report	NOUN
ap-6132	240	2	research	research	NOUN
ap-6132	240	3	collaboration	collaboration	NOUN
ap-6132	240	4	pt	pt	X
ap-6132	240	5	hm	hm	INTJ
ap-6132	240	6	sampoerna	sampoerna	PROPN
ap-6132	240	7	tbk	tbk	PROPN
ap-6132	240	8	and	and	CCONJ
ap-6132	240	9	institut	institut	PROPN
ap-6132	240	10	teknologi	teknologi	PROPN
ap-6132	240	11	bandung	bandung	PROPN
ap-6132	240	12	(	(	PUNCT
ap-6132	240	13	confidential	confidential	ADJ
ap-6132	240	14	report	report	NOUN
ap-6132	240	15	)	)	PUNCT
ap-6132	240	16	2018	2018	NUM
ap-6132	240	17	.	.	PUNCT
ap-6132	241	1	[	[	X
ap-6132	241	2	4	4	X
ap-6132	241	3	]	]	PUNCT
ap-6132	241	4	j.	j.	PROPN
ap-6132	241	5	kopka	kopka	PROPN
ap-6132	241	6	,	,	PUNCT
ap-6132	241	7	a.	a.	PROPN
ap-6132	241	8	fernie	fernie	PROPN
ap-6132	241	9	,	,	PUNCT
ap-6132	241	10	w.	w.	PROPN
ap-6132	241	11	weckwerth	weckwerth	PROPN
ap-6132	241	12	,	,	PUNCT
ap-6132	241	13	et	et	PROPN
ap-6132	241	14	al	al	PROPN
ap-6132	241	15	.	.	PROPN
ap-6132	241	16	metabolite	metabolite	PROPN
ap-6132	241	17	profiling	profiling	NOUN
ap-6132	241	18	in	in	ADP
ap-6132	241	19	plant	plant	NOUN
ap-6132	241	20	biology	biology	NOUN
ap-6132	241	21	:	:	PUNCT
ap-6132	241	22	platforms	platform	NOUN
ap-6132	241	23	and	and	CCONJ
ap-6132	241	24	destinations	destination	NOUN
ap-6132	241	25	.	.	PUNCT
ap-6132	242	1	genome	genome	NOUN
ap-6132	242	2	biology	biology	NOUN
ap-6132	242	3	5(6):109	5(6):109	NUM
ap-6132	242	4	,	,	PUNCT
ap-6132	242	5	2004	2004	NUM
ap-6132	242	6	.	.	PUNCT
ap-6132	243	1	doi:10.1186	doi:10.1186	PROPN
ap-6132	243	2	/	/	SYM
ap-6132	243	3	gb-2004	gb-2004	NOUN
ap-6132	243	4	-	-	PUNCT
ap-6132	243	5	5	5	NUM
ap-6132	243	6	-	-	PUNCT
ap-6132	243	7	6	6	NUM
ap-6132	243	8	-	-	SYM
ap-6132	243	9	109	109	NUM
ap-6132	243	10	.	.	PUNCT
ap-6132	244	1	[	[	X
ap-6132	244	2	5	5	X
ap-6132	244	3	]	]	PUNCT
ap-6132	244	4	s.	s.	PROPN
ap-6132	244	5	p.	p.	PROPN
ap-6132	244	6	putri	putri	PROPN
ap-6132	244	7	,	,	PUNCT
ap-6132	244	8	e.	e.	PROPN
ap-6132	244	9	fukusaki	fukusaki	PROPN
ap-6132	244	10	.	.	PUNCT
ap-6132	245	1	mass	mass	ADJ
ap-6132	245	2	spectrometry	spectrometry	NOUN
ap-6132	245	3	-	-	PUNCT
ap-6132	245	4	based	base	VERB
ap-6132	245	5	metabolomics	metabolomic	NOUN
ap-6132	245	6	:	:	PUNCT
ap-6132	245	7	a	a	DET
ap-6132	245	8	practical	practical	ADJ
ap-6132	245	9	guide	guide	NOUN
ap-6132	245	10	.	.	PUNCT
ap-6132	246	1	crc	crc	PROPN
ap-6132	246	2	press	press	PROPN
ap-6132	246	3	,	,	PUNCT
ap-6132	246	4	2016	2016	NUM
ap-6132	246	5	.	.	PUNCT
ap-6132	247	1	doi:10.1007	doi:10.1007	VERB
ap-6132	247	2	/	/	SYM
ap-6132	247	3	s13361	s13361	NOUN
ap-6132	247	4	-	-	PUNCT
ap-6132	247	5	015	015	NUM
ap-6132	247	6	-	-	PUNCT
ap-6132	247	7	1246	1246	NUM
ap-6132	247	8	-	-	SYM
ap-6132	247	9	3	3	NUM
ap-6132	247	10	.	.	PUNCT
ap-6132	248	1	[	[	X
ap-6132	248	2	6	6	NUM
ap-6132	248	3	]	]	X
ap-6132	248	4	d.	d.	PROPN
ap-6132	248	5	l.	l.	PROPN
ap-6132	248	6	massart	massart	PROPN
ap-6132	248	7	,	,	PUNCT
ap-6132	248	8	b.	b.	PROPN
ap-6132	248	9	g.	g.	PROPN
ap-6132	248	10	m.	m.	PROPN
ap-6132	248	11	vandeginste	vandeginste	PROPN
ap-6132	248	12	,	,	PUNCT
ap-6132	248	13	s.	s.	PROPN
ap-6132	248	14	n.	n.	PROPN
ap-6132	248	15	deming	deming	PROPN
ap-6132	248	16	,	,	PUNCT
ap-6132	248	17	et	et	PROPN
ap-6132	248	18	al	al	PROPN
ap-6132	248	19	.	.	PROPN
ap-6132	248	20	chemometrics	chemometric	NOUN
ap-6132	248	21	:	:	PUNCT
ap-6132	248	22	a	a	DET
ap-6132	248	23	textbook	textbook	NOUN
ap-6132	248	24	.	.	PUNCT
ap-6132	249	1	elsevier	elsevi	ADJ
ap-6132	249	2	amsterdam	amsterdam	PROPN
ap-6132	249	3	,	,	PUNCT
ap-6132	249	4	1988	1988	NUM
ap-6132	249	5	.	.	PUNCT
ap-6132	250	1	doi:10.1002	doi:10.1002	NOUN
ap-6132	250	2	/	/	SYM
ap-6132	250	3	cem.1180020409	cem.1180020409	X
ap-6132	250	4	.	.	PUNCT
ap-6132	251	1	[	[	X
ap-6132	251	2	7	7	X
ap-6132	251	3	]	]	X
ap-6132	251	4	c.	c.	PROPN
ap-6132	251	5	t.	t.	PROPN
ap-6132	251	6	leondes	leonde	NOUN
ap-6132	251	7	.	.	PUNCT
ap-6132	252	1	image	image	NOUN
ap-6132	252	2	processing	processing	NOUN
ap-6132	252	3	and	and	CCONJ
ap-6132	252	4	pattern	pattern	NOUN
ap-6132	252	5	recognition	recognition	NOUN
ap-6132	252	6	.	.	PUNCT
ap-6132	253	1	elsevier	elsevier	NOUN
ap-6132	253	2	,	,	PUNCT
ap-6132	253	3	1998	1998	NUM
ap-6132	253	4	.	.	PUNCT
ap-6132	254	1	[	[	X
ap-6132	254	2	8	8	X
ap-6132	254	3	]	]	X
ap-6132	254	4	b.	b.	PROPN
ap-6132	254	5	samir	samir	PROPN
ap-6132	254	6	,	,	PUNCT
ap-6132	254	7	a.	a.	PROPN
ap-6132	254	8	boukelif	boukelif	PROPN
ap-6132	254	9	.	.	PUNCT
ap-6132	255	1	new	new	ADJ
ap-6132	255	2	approach	approach	NOUN
ap-6132	255	3	for	for	ADP
ap-6132	255	4	online	online	ADJ
ap-6132	255	5	arabic	arabic	ADJ
ap-6132	255	6	manuscript	manuscript	NOUN
ap-6132	255	7	recognition	recognition	NOUN
ap-6132	255	8	by	by	ADP
ap-6132	255	9	deep	deep	ADJ
ap-6132	255	10	belief	belief	NOUN
ap-6132	255	11	network	network	NOUN
ap-6132	255	12	.	.	PUNCT
ap-6132	256	1	acta	acta	PROPN
ap-6132	256	2	polytechnica	polytechnica	PROPN
ap-6132	256	3	58(5	58(5	NUM
ap-6132	256	4	)	)	PUNCT
ap-6132	256	5	,	,	PUNCT
ap-6132	256	6	2018	2018	NUM
ap-6132	256	7	.	.	PUNCT
ap-6132	257	1	doi:10.14311	doi:10.14311	NOUN
ap-6132	257	2	/	/	SYM
ap-6132	257	3	ap.2018.58.0297	ap.2018.58.0297	PROPN
ap-6132	257	4	.	.	PUNCT
ap-6132	258	1	[	[	X
ap-6132	258	2	9	9	NUM
ap-6132	258	3	]	]	SYM
ap-6132	258	4	a.	a.	NOUN
ap-6132	258	5	n.	n.	PROPN
ap-6132	258	6	ponce	ponce	PROPN
ap-6132	258	7	,	,	PUNCT
ap-6132	258	8	a.	a.	PROPN
ap-6132	258	9	a.	a.	PROPN
ap-6132	258	10	behar	behar	PROPN
ap-6132	258	11	,	,	PUNCT
ap-6132	258	12	a.	a.	NOUN
ap-6132	258	13	o.	o.	PROPN
ap-6132	258	14	hernández	hernández	PROPN
ap-6132	258	15	,	,	PUNCT
ap-6132	258	16	v.	v.	PROPN
ap-6132	258	17	r.	r.	PROPN
ap-6132	258	18	sitar	sitar	PROPN
ap-6132	258	19	.	.	PUNCT
ap-6132	259	1	neural	neural	ADJ
ap-6132	259	2	networks	network	NOUN
ap-6132	259	3	for	for	ADP
ap-6132	259	4	self	self	NOUN
ap-6132	259	5	-	-	PUNCT
ap-6132	259	6	tuning	tune	VERB
ap-6132	259	7	control	control	NOUN
ap-6132	259	8	systems	system	NOUN
ap-6132	259	9	.	.	PUNCT
ap-6132	260	1	acta	acta	PROPN
ap-6132	260	2	polytechnica	polytechnica	PROPN
ap-6132	260	3	44(1	44(1	PROPN
ap-6132	260	4	)	)	PUNCT
ap-6132	260	5	,	,	PUNCT
ap-6132	260	6	2004	2004	NUM
ap-6132	260	7	.	.	PUNCT
ap-6132	261	1	[	[	X
ap-6132	261	2	10	10	NUM
ap-6132	261	3	]	]	PUNCT
ap-6132	261	4	m.	m.	NOUN
ap-6132	261	5	chvalina	chvalina	NOUN
ap-6132	261	6	.	.	PUNCT
ap-6132	262	1	demand	demand	NOUN
ap-6132	262	2	modelling	modelling	NOUN
ap-6132	262	3	in	in	ADP
ap-6132	262	4	telecommunications	telecommunication	NOUN
ap-6132	262	5	:	:	PUNCT
ap-6132	262	6	comparison	comparison	NOUN
ap-6132	262	7	of	of	ADP
ap-6132	262	8	standard	standard	ADJ
ap-6132	262	9	statistical	statistical	ADJ
ap-6132	262	10	methods	method	NOUN
ap-6132	262	11	and	and	CCONJ
ap-6132	262	12	approaches	approach	NOUN
ap-6132	262	13	based	base	VERB
ap-6132	262	14	upon	upon	SCONJ
ap-6132	262	15	artificial	artificial	ADJ
ap-6132	262	16	intelligence	intelligence	NOUN
ap-6132	262	17	methods	method	NOUN
ap-6132	262	18	including	include	VERB
ap-6132	262	19	neural	neural	ADJ
ap-6132	262	20	networks	network	NOUN
ap-6132	262	21	.	.	PUNCT
ap-6132	263	1	acta	acta	PROPN
ap-6132	263	2	polytechnica	polytechnica	PROPN
ap-6132	263	3	49(2):48–52	49(2):48–52	NUM
ap-6132	263	4	,	,	PUNCT
ap-6132	263	5	2009	2009	NUM
ap-6132	263	6	.	.	PUNCT
ap-6132	264	1	[	[	X
ap-6132	264	2	11	11	NUM
ap-6132	264	3	]	]	PUNCT
ap-6132	264	4	i.	i.	NOUN
ap-6132	264	5	bukovsky	bukovsky	PROPN
ap-6132	264	6	,	,	PUNCT
ap-6132	264	7	m.	m.	NOUN
ap-6132	264	8	kolovratnik	kolovratnik	PROPN
ap-6132	264	9	.	.	PUNCT
ap-6132	265	1	a	a	DET
ap-6132	265	2	neural	neural	ADJ
ap-6132	265	3	network	network	NOUN
ap-6132	265	4	model	model	NOUN
ap-6132	265	5	for	for	ADP
ap-6132	265	6	predicting	predict	VERB
ap-6132	265	7	nox	nox	NOUN
ap-6132	265	8	at	at	ADP
ap-6132	265	9	the	the	DET
ap-6132	265	10	melnik	melnik	NOUN
ap-6132	265	11	1	1	NUM
ap-6132	265	12	coal	coal	NOUN
ap-6132	265	13	-	-	PUNCT
ap-6132	265	14	powder	powder	NOUN
ap-6132	265	15	power	power	NOUN
ap-6132	265	16	plant	plant	NOUN
ap-6132	265	17	.	.	PUNCT
ap-6132	266	1	acta	acta	PROPN
ap-6132	266	2	polytechnica	polytechnica	PROPN
ap-6132	266	3	52(3):17–22	52(3):17–22	NUM
ap-6132	266	4	,	,	PUNCT
ap-6132	266	5	2012	2012	NUM
ap-6132	266	6	.	.	PUNCT
ap-6132	267	1	[	[	X
ap-6132	267	2	12	12	NUM
ap-6132	267	3	]	]	PUNCT
ap-6132	267	4	p.	p.	NOUN
ap-6132	267	5	kutilek	kutilek	PROPN
ap-6132	267	6	,	,	PUNCT
ap-6132	267	7	s.	s.	PROPN
ap-6132	267	8	viteckova	viteckova	PROPN
ap-6132	267	9	.	.	PUNCT
ap-6132	268	1	prediction	prediction	NOUN
ap-6132	268	2	of	of	ADP
ap-6132	268	3	lower	low	ADJ
ap-6132	268	4	extremity	extremity	NOUN
ap-6132	268	5	movement	movement	NOUN
ap-6132	268	6	by	by	ADP
ap-6132	268	7	cyclograms	cyclogram	NOUN
ap-6132	268	8	.	.	PUNCT
ap-6132	269	1	acta	acta	PROPN
ap-6132	269	2	polytechnica	polytechnica	PROPN
ap-6132	269	3	52(1	52(1	PROPN
ap-6132	269	4	)	)	PUNCT
ap-6132	269	5	,	,	PUNCT
ap-6132	269	6	2012	2012	NUM
ap-6132	269	7	.	.	PUNCT
ap-6132	270	1	[	[	X
ap-6132	270	2	13	13	NUM
ap-6132	270	3	]	]	X
ap-6132	270	4	d.	d.	PROPN
ap-6132	270	5	novák	novák	PROPN
ap-6132	270	6	,	,	PUNCT
ap-6132	270	7	d.	d.	PROPN
ap-6132	270	8	lehkỳ.	lehkỳ.	PROPN
ap-6132	270	9	neural	neural	PROPN
ap-6132	270	10	network	network	PROPN
ap-6132	270	11	based	base	VERB
ap-6132	270	12	identification	identification	NOUN
ap-6132	270	13	of	of	ADP
ap-6132	270	14	material	material	NOUN
ap-6132	270	15	model	model	NOUN
ap-6132	270	16	parameters	parameter	NOUN
ap-6132	270	17	to	to	PART
ap-6132	270	18	capture	capture	VERB
ap-6132	270	19	experimental	experimental	ADJ
ap-6132	270	20	load	load	NOUN
ap-6132	270	21	-	-	PUNCT
ap-6132	270	22	deflection	deflection	NOUN
ap-6132	270	23	curve	curve	NOUN
ap-6132	270	24	.	.	PUNCT
ap-6132	271	1	acta	acta	PROPN
ap-6132	271	2	polytechnica	polytechnica	PROPN
ap-6132	271	3	44(5	44(5	PROPN
ap-6132	271	4	-	-	PUNCT
ap-6132	271	5	6	6	NUM
ap-6132	271	6	)	)	PUNCT
ap-6132	271	7	,	,	PUNCT
ap-6132	271	8	2004	2004	NUM
ap-6132	271	9	.	.	PUNCT
ap-6132	272	1	[	[	X
ap-6132	272	2	14	14	NUM
ap-6132	272	3	]	]	X
ap-6132	272	4	rustam	rustam	NOUN
ap-6132	272	5	,	,	PUNCT
ap-6132	272	6	a.	a.	PROPN
ap-6132	272	7	y.	y.	PROPN
ap-6132	272	8	gunawan	gunawan	PROPN
ap-6132	272	9	,	,	PUNCT
ap-6132	273	1	m.	m.	NOUN
ap-6132	273	2	t.	t.	PROPN
ap-6132	273	3	a.	a.	PROPN
ap-6132	273	4	p.	p.	PROPN
ap-6132	273	5	kresnowati	kresnowati	PROPN
ap-6132	273	6	.	.	PUNCT
ap-6132	274	1	the	the	DET
ap-6132	274	2	hard	hard	ADJ
ap-6132	274	3	c	c	NOUN
ap-6132	274	4	-	-	PUNCT
ap-6132	274	5	means	means	NOUN
ap-6132	274	6	algorithm	algorithm	NOUN
ap-6132	274	7	for	for	ADP
ap-6132	274	8	clustering	cluster	VERB
ap-6132	274	9	indonesian	indonesian	ADJ
ap-6132	274	10	plantation	plantation	NOUN
ap-6132	274	11	commodity	commodity	NOUN
ap-6132	274	12	based	base	VERB
ap-6132	274	13	on	on	ADP
ap-6132	274	14	metabolites	metabolite	NOUN
ap-6132	274	15	composition	composition	NOUN
ap-6132	274	16	.	.	PUNCT
ap-6132	275	1	in	in	ADP
ap-6132	275	2	journal	journal	PROPN
ap-6132	275	3	of	of	ADP
ap-6132	275	4	physics	physics	PROPN
ap-6132	275	5	:	:	PUNCT
ap-6132	275	6	conference	conference	NOUN
ap-6132	275	7	series	series	NOUN
ap-6132	275	8	,	,	PUNCT
ap-6132	275	9	vol	vol	NOUN
ap-6132	275	10	.	.	PROPN
ap-6132	275	11	1315	1315	NUM
ap-6132	275	12	,	,	PUNCT
ap-6132	275	13	p.	p.	NOUN
ap-6132	275	14	012085	012085	NUM
ap-6132	275	15	.	.	PUNCT
ap-6132	276	1	iop	iop	PROPN
ap-6132	276	2	publishing	publishing	NOUN
ap-6132	276	3	,	,	PUNCT
ap-6132	276	4	2019	2019	NUM
ap-6132	276	5	.	.	PUNCT
ap-6132	277	1	doi:10.1088/1742	doi:10.1088/1742	PROPN
ap-6132	277	2	-	-	PUNCT
ap-6132	277	3	6596/1315/1/012085	6596/1315/1/012085	NUM
ap-6132	277	4	.	.	PUNCT
ap-6132	278	1	[	[	X
ap-6132	278	2	15	15	NUM
ap-6132	278	3	]	]	X
ap-6132	278	4	t.	t.	NOUN
ap-6132	278	5	beltramo	beltramo	PROPN
ap-6132	278	6	,	,	PUNCT
ap-6132	278	7	m.	m.	PROPN
ap-6132	278	8	klocke	klocke	PROPN
ap-6132	278	9	,	,	PUNCT
ap-6132	278	10	b.	b.	PROPN
ap-6132	278	11	hitzmann	hitzmann	PROPN
ap-6132	278	12	.	.	PUNCT
ap-6132	279	1	prediction	prediction	NOUN
ap-6132	279	2	of	of	ADP
ap-6132	279	3	the	the	DET
ap-6132	279	4	biogas	biogas	NOUN
ap-6132	279	5	production	production	NOUN
ap-6132	279	6	using	use	VERB
ap-6132	279	7	ga	ga	PROPN
ap-6132	279	8	and	and	CCONJ
ap-6132	279	9	aco	aco	PROPN
ap-6132	279	10	input	input	PROPN
ap-6132	279	11	features	feature	VERB
ap-6132	279	12	selection	selection	NOUN
ap-6132	279	13	method	method	NOUN
ap-6132	279	14	for	for	ADP
ap-6132	279	15	ann	ann	PROPN
ap-6132	279	16	model	model	PROPN
ap-6132	279	17	.	.	PUNCT
ap-6132	280	1	information	information	NOUN
ap-6132	280	2	processing	processing	NOUN
ap-6132	280	3	in	in	ADP
ap-6132	280	4	agriculture	agriculture	NOUN
ap-6132	280	5	2019	2019	NUM
ap-6132	280	6	.	.	PUNCT
ap-6132	281	1	doi:10.1016	doi:10.1016	PROPN
ap-6132	281	2	/	/	SYM
ap-6132	281	3	j.inpa.2019.01.002	j.inpa.2019.01.002	PROPN
ap-6132	281	4	.	.	PUNCT
ap-6132	282	1	[	[	X
ap-6132	282	2	16	16	NUM
ap-6132	282	3	]	]	X
ap-6132	282	4	l.	l.	PROPN
ap-6132	282	5	fausett	fausett	PROPN
ap-6132	282	6	.	.	PUNCT
ap-6132	283	1	fundamentals	fundamental	NOUN
ap-6132	283	2	of	of	ADP
ap-6132	283	3	neural	neural	ADJ
ap-6132	283	4	networks	network	NOUN
ap-6132	283	5	:	:	PUNCT
ap-6132	283	6	architectures	architecture	NOUN
ap-6132	283	7	,	,	PUNCT
ap-6132	283	8	algorithms	algorithm	NOUN
ap-6132	283	9	,	,	PUNCT
ap-6132	283	10	and	and	CCONJ
ap-6132	283	11	applications	application	NOUN
ap-6132	283	12	.	.	PUNCT
ap-6132	284	1	prentice	prentice	NOUN
ap-6132	284	2	-	-	PUNCT
ap-6132	284	3	hall	hall	PROPN
ap-6132	284	4	,	,	PUNCT
ap-6132	284	5	inc	inc	PROPN
ap-6132	284	6	.	.	PROPN
ap-6132	284	7	,	,	PUNCT
ap-6132	284	8	1994	1994	NUM
ap-6132	284	9	.	.	PUNCT
ap-6132	285	1	[	[	X
ap-6132	285	2	17	17	NUM
ap-6132	285	3	]	]	X
ap-6132	285	4	i.	i.	PROPN
ap-6132	285	5	aizenberg	aizenberg	PROPN
ap-6132	285	6	,	,	PUNCT
ap-6132	285	7	c.	c.	PROPN
ap-6132	285	8	moraga	moraga	PROPN
ap-6132	285	9	.	.	PUNCT
ap-6132	286	1	multilayer	multilayer	PROPN
ap-6132	286	2	feedforward	feedforward	PROPN
ap-6132	286	3	neural	neural	ADJ
ap-6132	286	4	network	network	NOUN
ap-6132	286	5	based	base	VERB
ap-6132	286	6	on	on	ADP
ap-6132	286	7	multi	multi	ADJ
ap-6132	286	8	-	-	ADJ
ap-6132	286	9	valued	value	VERB
ap-6132	286	10	neurons	neuron	NOUN
ap-6132	286	11	(	(	PUNCT
ap-6132	286	12	mlmvn	mlmvn	ADJ
ap-6132	286	13	)	)	PUNCT
ap-6132	286	14	and	and	CCONJ
ap-6132	286	15	a	a	DET
ap-6132	286	16	backpropagation	backpropagation	NOUN
ap-6132	286	17	learning	learn	VERB
ap-6132	286	18	algorithm	algorithm	NOUN
ap-6132	286	19	.	.	PUNCT
ap-6132	287	1	soft	soft	ADJ
ap-6132	287	2	computing	computing	NOUN
ap-6132	287	3	11(2):169–183	11(2):169–183	PROPN
ap-6132	287	4	,	,	PUNCT
ap-6132	287	5	2007	2007	NUM
ap-6132	287	6	.	.	PUNCT
ap-6132	288	1	doi:10.1007	doi:10.1007	VERB
ap-6132	288	2	/	/	SYM
ap-6132	288	3	s00500	s00500	PROPN
ap-6132	288	4	-	-	PUNCT
ap-6132	288	5	006	006	NUM
ap-6132	288	6	-	-	PUNCT
ap-6132	288	7	0075	0075	NUM
ap-6132	288	8	-	-	SYM
ap-6132	288	9	5	5	NUM
ap-6132	288	10	.	.	PUNCT
ap-6132	289	1	[	[	X
ap-6132	289	2	18	18	NUM
ap-6132	289	3	]	]	X
ap-6132	289	4	e.	e.	PROPN
ap-6132	289	5	m.	m.	PROPN
ap-6132	289	6	johansson	johansson	PROPN
ap-6132	289	7	,	,	PUNCT
ap-6132	289	8	f.	f.	PROPN
ap-6132	289	9	u.	u.	PROPN
ap-6132	289	10	dowla	dowla	PROPN
ap-6132	289	11	,	,	PUNCT
ap-6132	289	12	d.	d.	PROPN
ap-6132	289	13	m.	m.	PROPN
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ap-6132	289	15	.	.	PUNCT
ap-6132	290	1	backpropagation	backpropagation	NOUN
ap-6132	290	2	learning	learn	VERB
ap-6132	290	3	for	for	ADP
ap-6132	290	4	multilayer	multilayer	ADJ
ap-6132	290	5	feed	feed	NOUN
ap-6132	290	6	-	-	PUNCT
ap-6132	290	7	forward	forward	NOUN
ap-6132	290	8	neural	neural	ADJ
ap-6132	290	9	networks	network	NOUN
ap-6132	290	10	using	use	VERB
ap-6132	290	11	the	the	DET
ap-6132	290	12	conjugate	conjugate	ADJ
ap-6132	290	13	gradient	gradient	NOUN
ap-6132	290	14	method	method	NOUN
ap-6132	290	15	.	.	PUNCT
ap-6132	291	1	international	international	ADJ
ap-6132	291	2	journal	journal	PROPN
ap-6132	291	3	of	of	ADP
ap-6132	291	4	neural	neural	ADJ
ap-6132	291	5	systems	system	NOUN
ap-6132	291	6	2(04):291–301	2(04):291–301	NUM
ap-6132	291	7	,	,	PUNCT
ap-6132	291	8	1991	1991	NUM
ap-6132	291	9	.	.	PUNCT
ap-6132	292	1	doi:10.1142	doi:10.1142	NOUN
ap-6132	292	2	/	/	SYM
ap-6132	292	3	s0129065791000261	s0129065791000261	NOUN
ap-6132	292	4	.	.	PUNCT
ap-6132	293	1	[	[	X
ap-6132	293	2	19	19	NUM
ap-6132	293	3	]	]	X
ap-6132	293	4	t.	t.	PROPN
ap-6132	293	5	t.	t.	PROPN
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ap-6132	293	7	,	,	PUNCT
ap-6132	293	8	o.	o.	PROPN
ap-6132	293	9	k.	k.	PROPN
ap-6132	293	10	chopra	chopra	PROPN
ap-6132	293	11	.	.	PUNCT
ap-6132	294	1	using	use	VERB
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ap-6132	294	3	neural	neural	ADJ
ap-6132	294	4	networks	network	NOUN
ap-6132	294	5	to	to	PART
ap-6132	294	6	predict	predict	VERB
ap-6132	294	7	the	the	DET
ap-6132	294	8	fatigue	fatigue	NOUN
ap-6132	294	9	life	life	NOUN
ap-6132	294	10	of	of	ADP
ap-6132	294	11	carbon	carbon	NOUN
ap-6132	294	12	and	and	CCONJ
ap-6132	294	13	low	low	ADJ
ap-6132	294	14	-	-	PUNCT
ap-6132	294	15	alloy	alloy	NOUN
ap-6132	294	16	steels	steel	NOUN
ap-6132	294	17	.	.	PUNCT
ap-6132	295	1	nuclear	nuclear	ADJ
ap-6132	295	2	engineering	engineering	NOUN
ap-6132	295	3	and	and	CCONJ
ap-6132	295	4	design	design	NOUN
ap-6132	295	5	197(12):1–12	197(12):1–12	NUM
ap-6132	295	6	,	,	PUNCT
ap-6132	295	7	2000	2000	NUM
ap-6132	295	8	.	.	PUNCT
ap-6132	296	1	doi:10.1016	doi:10.1016	PROPN
ap-6132	296	2	/	/	SYM
ap-6132	296	3	s0029	s0029	PROPN
ap-6132	296	4	-	-	PUNCT
ap-6132	296	5	5493(99)00252	5493(99)00252	NUM
ap-6132	296	6	-	-	PUNCT
ap-6132	296	7	6	6	NUM
ap-6132	296	8	.	.	PUNCT
ap-6132	297	1	[	[	X
ap-6132	297	2	20	20	NUM
ap-6132	297	3	]	]	PUNCT
ap-6132	297	4	k.	k.	PROPN
ap-6132	297	5	l.	l.	PROPN
ap-6132	297	6	kaiser	kaiser	PROPN
ap-6132	297	7	,	,	PUNCT
ap-6132	297	8	s.	s.	PROPN
ap-6132	297	9	p.	p.	PROPN
ap-6132	297	10	niculescu	niculescu	PROPN
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ap-6132	297	13	schüürmann	schüürmann	PROPN
ap-6132	297	14	.	.	PUNCT
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ap-6132	298	3	backpropagation	backpropagation	NOUN
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ap-6132	298	5	networks	network	NOUN
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ap-6132	298	8	use	use	NOUN
ap-6132	298	9	in	in	ADP
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ap-6132	298	12	acute	acute	ADJ
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ap-6132	298	14	of	of	ADP
ap-6132	298	15	chemicals	chemical	NOUN
ap-6132	298	16	to	to	ADP
ap-6132	298	17	the	the	DET
ap-6132	298	18	fathead	fathead	NOUN
ap-6132	298	19	minnow	minnow	NOUN
ap-6132	298	20	.	.	PUNCT
ap-6132	299	1	water	water	NOUN
ap-6132	299	2	quality	quality	PROPN
ap-6132	299	3	research	research	NOUN
ap-6132	299	4	journal	journal	NOUN
ap-6132	299	5	32(3):637–658	32(3):637–658	NUM
ap-6132	299	6	,	,	PUNCT
ap-6132	299	7	1997	1997	NUM
ap-6132	299	8	.	.	PUNCT
ap-6132	300	1	doi:10.2166	doi:10.2166	PROPN
ap-6132	300	2	/	/	SYM
ap-6132	300	3	wqrj.1997.037	wqrj.1997.037	PROPN
ap-6132	300	4	.	.	PUNCT
ap-6132	301	1	[	[	X
ap-6132	301	2	21	21	NUM
ap-6132	301	3	]	]	X
ap-6132	301	4	e.	e.	PROPN
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ap-6132	301	6	tabach	tabach	PROPN
ap-6132	301	7	,	,	PUNCT
ap-6132	301	8	l.	l.	PROPN
ap-6132	301	9	adishirinli	adishirinli	PROPN
ap-6132	301	10	,	,	PUNCT
ap-6132	301	11	n.	n.	PROPN
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ap-6132	301	13	,	,	PUNCT
ap-6132	301	14	g.	g.	PROPN
ap-6132	301	15	fau	fau	PROPN
ap-6132	301	16	.	.	PROPN
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ap-6132	301	18	of	of	ADP
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ap-6132	301	20	chemistry	chemistry	NOUN
ap-6132	301	21	effect	effect	NOUN
ap-6132	301	22	during	during	ADP
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ap-6132	301	24	pyrolysis	pyrolysis	NOUN
ap-6132	301	25	on	on	ADP
ap-6132	301	26	the	the	DET
ap-6132	301	27	pressure	pressure	NOUN
ap-6132	301	28	drop	drop	NOUN
ap-6132	301	29	through	through	ADP
ap-6132	301	30	porous	porous	ADJ
ap-6132	301	31	material	material	NOUN
ap-6132	301	32	using	use	VERB
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ap-6132	301	34	neural	neural	ADJ
ap-6132	301	35	networks	network	NOUN
ap-6132	301	36	.	.	PUNCT
ap-6132	302	1	journal	journal	NOUN
ap-6132	302	2	of	of	ADP
ap-6132	302	3	analytical	analytical	ADJ
ap-6132	302	4	and	and	CCONJ
ap-6132	302	5	applied	applied	ADJ
ap-6132	302	6	pyrolysis	pyrolysis	NOUN
ap-6132	302	7	115:143–148	115:143–148	NUM
ap-6132	302	8	,	,	PUNCT
ap-6132	302	9	2015	2015	NUM
ap-6132	302	10	.	.	PUNCT
ap-6132	303	1	doi:10.1016	doi:10.1016	PROPN
ap-6132	303	2	/	/	SYM
ap-6132	303	3	j.jaap.2015.07.010get	j.jaap.2015.07.010get	PROPN
ap-6132	303	4	.	.	PUNCT
ap-6132	304	1	[	[	X
ap-6132	304	2	22	22	NUM
ap-6132	304	3	]	]	X
ap-6132	304	4	r.	r.	PROPN
ap-6132	304	5	chayjan	chayjan	PROPN
ap-6132	304	6	,	,	PUNCT
ap-6132	304	7	m.	m.	PROPN
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ap-6132	304	9	-	-	PUNCT
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ap-6132	304	21	neural	neural	ADJ
ap-6132	304	22	network	network	NOUN
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ap-6132	305	7	35(4):524–532	35(4):524–532	PROPN
ap-6132	305	8	,	,	PUNCT
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ap-6132	305	10	.	.	PUNCT
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ap-6132	306	6	.	.	PUNCT
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ap-6132	307	3	]	]	PUNCT
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ap-6132	307	9	d.	d.	PROPN
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ap-6132	307	12	m.	m.	PROPN
ap-6132	307	13	n.	n.	PROPN
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ap-6132	308	3	convergent	convergent	ADJ
ap-6132	308	4	training	training	NOUN
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ap-6132	308	7	on	on	ADP
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ap-6132	308	9	resilient	resilient	ADJ
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ap-6132	309	1	neurocomputing	neurocompute	VERB
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ap-6132	309	3	,	,	PUNCT
ap-6132	309	4	2005	2005	NUM
ap-6132	309	5	.	.	PUNCT
ap-6132	310	1	doi:10.1016	doi:10.1016	PROPN
ap-6132	310	2	/	/	SYM
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ap-6132	311	1	446	446	NUM
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ap-6132	313	2	http://dx.doi.org/10.2166/wqrj.1997.037	http://dx.doi.org/10.2166/wqrj.1997.037	X
ap-6132	313	3	http://dx.doi.org/10.1016/j.jaap.2015.07.010get	http://dx.doi.org/10.1016/j.jaap.2015.07.010get	NOUN
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ap-6132	313	5	http://dx.doi.org/10.1016/j.neucom.2004.11.016	http://dx.doi.org/10.1016/j.neucom.2004.11.016	PROPN
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ap-6132	313	7	.	.	PUNCT
ap-6132	314	1	60	60	NUM
ap-6132	314	2	no	no	NOUN
ap-6132	314	3	.	.	PUNCT
ap-6132	315	1	5/2020	5/2020	NUM
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ap-6132	315	3	neural	neural	ADJ
ap-6132	315	4	network	network	NOUN
ap-6132	315	5	approach	approach	NOUN
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ap-6132	315	7	the	the	DET
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ap-6132	315	9	.	.	PUNCT
ap-6132	315	10	.	.	PUNCT
ap-6132	315	11	.	.	PUNCT
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ap-6132	316	2	24	24	NUM
ap-6132	316	3	]	]	PUNCT
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ap-6132	316	8	n.	n.	PROPN
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ap-6132	316	17	transfer	transfer	NOUN
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ap-6132	316	22	copper	copper	NOUN
ap-6132	316	23	–	–	PUNCT
ap-6132	316	24	water	water	NOUN
ap-6132	316	25	nanofluid	nanofluid	NOUN
ap-6132	316	26	using	use	VERB
ap-6132	316	27	resilient	resilient	ADJ
ap-6132	316	28	-	-	PUNCT
ap-6132	316	29	propagation	propagation	NOUN
ap-6132	316	30	neural	neural	ADJ
ap-6132	316	31	network	network	NOUN
ap-6132	316	32	.	.	PUNCT
ap-6132	317	1	international	international	ADJ
ap-6132	317	2	journal	journal	PROPN
ap-6132	317	3	of	of	ADP
ap-6132	317	4	thermal	thermal	ADJ
ap-6132	317	5	sciences	science	NOUN
ap-6132	317	6	48(7):1311	48(7):1311	NUM
ap-6132	317	7	–	–	PUNCT
ap-6132	317	8	1318	1318	NUM
ap-6132	317	9	,	,	PUNCT
ap-6132	317	10	2009	2009	NUM
ap-6132	317	11	.	.	PUNCT
ap-6132	318	1	doi:10.1016	doi:10.1016	PROPN
ap-6132	318	2	/	/	SYM
ap-6132	318	3	j.ijthermalsci.2008.11.009	j.ijthermalsci.2008.11.009	PROPN
ap-6132	318	4	.	.	PUNCT
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ap-6132	319	2	25	25	NUM
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ap-6132	319	9	rajan	rajan	PROPN
ap-6132	319	10	.	.	PROPN
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ap-6132	319	14	image	image	NOUN
ap-6132	319	15	processing	processing	NOUN
ap-6132	319	16	and	and	CCONJ
ap-6132	319	17	resilient	resilient	ADJ
ap-6132	319	18	propagation	propagation	NOUN
ap-6132	319	19	algorithms	algorithm	NOUN
ap-6132	319	20	.	.	PUNCT
ap-6132	320	1	neurocomputing	neurocompute	VERB
ap-6132	320	2	35(1	35(1	NUM
ap-6132	320	3	-	-	PUNCT
ap-6132	320	4	4):123–135	4):123–135	NOUN
ap-6132	320	5	,	,	PUNCT
ap-6132	320	6	2000	2000	NUM
ap-6132	320	7	.	.	PUNCT
ap-6132	321	1	doi:10.1016	doi:10.1016	PROPN
ap-6132	321	2	/	/	SYM
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ap-6132	321	4	-	-	PUNCT
ap-6132	321	5	2312(00)00301	2312(00)00301	NUM
ap-6132	321	6	-	-	SYM
ap-6132	321	7	5	5	NUM
ap-6132	321	8	.	.	PUNCT
ap-6132	322	1	[	[	X
ap-6132	322	2	26	26	NUM
ap-6132	322	3	]	]	X
ap-6132	322	4	d.	d.	PROPN
ap-6132	322	5	fisch	fisch	PROPN
ap-6132	322	6	,	,	PUNCT
ap-6132	322	7	b.	b.	PROPN
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ap-6132	322	9	.	.	PUNCT
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ap-6132	323	3	radial	radial	ADJ
ap-6132	323	4	basis	basis	NOUN
ap-6132	323	5	function	function	NOUN
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ap-6132	323	7	with	with	ADP
ap-6132	323	8	resilient	resilient	ADJ
ap-6132	323	9	propagation	propagation	NOUN
ap-6132	323	10	and	and	CCONJ
ap-6132	323	11	variational	variational	ADJ
ap-6132	323	12	bayesian	bayesian	NOUN
ap-6132	323	13	inference	inference	NOUN
ap-6132	323	14	.	.	PUNCT
ap-6132	324	1	in	in	ADP
ap-6132	324	2	2009	2009	NUM
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ap-6132	324	4	joint	joint	ADJ
ap-6132	324	5	conference	conference	NOUN
ap-6132	324	6	on	on	ADP
ap-6132	324	7	neural	neural	ADJ
ap-6132	324	8	networks	network	NOUN
ap-6132	324	9	,	,	PUNCT
ap-6132	324	10	pp	pp	ADJ
ap-6132	324	11	.	.	PUNCT
ap-6132	324	12	838–847	838–847	NUM
ap-6132	324	13	.	.	PUNCT
ap-6132	325	1	ieee	ieee	NOUN
ap-6132	325	2	,	,	PUNCT
ap-6132	325	3	2009	2009	NUM
ap-6132	325	4	.	.	PUNCT
ap-6132	326	1	doi:10.1109	doi:10.1109	VERB
ap-6132	326	2	/	/	SYM
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ap-6132	326	4	.	.	PUNCT
ap-6132	327	1	[	[	X
ap-6132	327	2	27	27	NUM
ap-6132	327	3	]	]	PUNCT
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ap-6132	327	6	,	,	PUNCT
ap-6132	327	7	b.	b.	PROPN
ap-6132	327	8	chandra	chandra	PROPN
ap-6132	327	9	,	,	PUNCT
ap-6132	327	10	p.	p.	PROPN
ap-6132	327	11	k.	k.	PROPN
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ap-6132	329	3	geometric	geometric	ADJ
ap-6132	329	4	mean	mean	PROPN
ap-6132	329	5	neuron	neuron	NOUN
ap-6132	329	6	model	model	NOUN
ap-6132	329	7	using	use	VERB
ap-6132	329	8	resilient	resilient	ADJ
ap-6132	329	9	propagation	propagation	NOUN
ap-6132	329	10	algorithm	algorithm	NOUN
ap-6132	329	11	.	.	PUNCT
ap-6132	330	1	expert	expert	NOUN
ap-6132	330	2	systems	system	NOUN
ap-6132	330	3	with	with	ADP
ap-6132	330	4	applications	application	NOUN
ap-6132	330	5	37(12):7449–7455	37(12):7449–7455	NUM
ap-6132	330	6	,	,	PUNCT
ap-6132	330	7	2010	2010	NUM
ap-6132	330	8	.	.	PUNCT
ap-6132	331	1	doi:10.1016	doi:10.1016	PROPN
ap-6132	331	2	/	/	SYM
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ap-6132	331	4	.	.	PUNCT
ap-6132	332	1	[	[	X
ap-6132	332	2	28	28	NUM
ap-6132	332	3	]	]	X
ap-6132	332	4	m.	m.	NOUN
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ap-6132	332	6	,	,	PUNCT
ap-6132	332	7	h.	h.	PROPN
ap-6132	332	8	braun	braun	PROPN
ap-6132	332	9	.	.	PUNCT
ap-6132	333	1	a	a	DET
ap-6132	333	2	direct	direct	ADJ
ap-6132	333	3	adaptive	adaptive	ADJ
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ap-6132	333	12	algorithm	algorithm	NOUN
ap-6132	333	13	.	.	PUNCT
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ap-6132	334	2	proceedings	proceeding	NOUN
ap-6132	334	3	of	of	ADP
ap-6132	334	4	the	the	DET
ap-6132	334	5	ieee	ieee	NOUN
ap-6132	334	6	international	international	PROPN
ap-6132	334	7	conference	conference	NOUN
ap-6132	334	8	on	on	ADP
ap-6132	334	9	neural	neural	ADJ
ap-6132	334	10	networks	network	NOUN
ap-6132	334	11	,	,	PUNCT
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ap-6132	334	13	.	.	PROPN
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ap-6132	334	15	,	,	PUNCT
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ap-6132	334	17	.	.	PUNCT
ap-6132	335	1	586–591	586–591	NUM
ap-6132	335	2	.	.	PUNCT
ap-6132	336	1	san	san	PROPN
ap-6132	336	2	francisco	francisco	PROPN
ap-6132	336	3	,	,	PUNCT
ap-6132	336	4	1993	1993	NUM
ap-6132	336	5	.	.	PUNCT
ap-6132	337	1	doi:10.1109	doi:10.1109	VERB
ap-6132	337	2	/	/	SYM
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ap-6132	337	4	.	.	PUNCT
ap-6132	338	1	[	[	X
ap-6132	338	2	29	29	NUM
ap-6132	338	3	]	]	X
ap-6132	338	4	p.	p.	PROPN
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ap-6132	338	6	.	.	PUNCT
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ap-6132	339	3	in	in	ADP
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ap-6132	339	5	.	.	PUNCT
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ap-6132	340	4	.	.	PUNCT
ap-6132	341	1	doi:10.1016	doi:10.1016	PROPN
ap-6132	341	2	/	/	SYM
ap-6132	341	3	b978	b978	PROPN
ap-6132	341	4	-	-	PUNCT
ap-6132	341	5	0	0	NUM
ap-6132	341	6	-	-	PUNCT
ap-6132	341	7	08	08	NUM
ap-6132	341	8	-	-	PUNCT
ap-6132	341	9	044538	044538	NUM
ap-6132	341	10	-	-	PUNCT
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ap-6132	341	12	-	-	PUNCT
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ap-6132	342	1	[	[	X
ap-6132	342	2	30	30	NUM
ap-6132	342	3	]	]	PUNCT
ap-6132	342	4	k.	k.	PROPN
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ap-6132	342	6	,	,	PUNCT
ap-6132	342	7	y.	y.	PROPN
ap-6132	342	8	ikeda	ikeda	PROPN
ap-6132	342	9	.	.	PUNCT
ap-6132	343	1	effect	effect	NOUN
ap-6132	343	2	of	of	ADP
ap-6132	343	3	number	number	NOUN
ap-6132	343	4	of	of	ADP
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ap-6132	343	6	neurons	neuron	NOUN
ap-6132	343	7	on	on	ADP
ap-6132	343	8	learning	learn	VERB
ap-6132	343	9	in	in	ADP
ap-6132	343	10	large	large	ADJ
ap-6132	343	11	-	-	PUNCT
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ap-6132	343	13	layered	layered	ADJ
ap-6132	343	14	neural	neural	ADJ
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ap-6132	344	4	-	-	PUNCT
ap-6132	344	5	sice	sice	PROPN
ap-6132	344	6	,	,	PUNCT
ap-6132	344	7	pp	pp	ADJ
ap-6132	344	8	.	.	PUNCT
ap-6132	345	1	5008–5013	5008–5013	NUM
ap-6132	345	2	.	.	PUNCT
ap-6132	345	3	ieee	ieee	NOUN
ap-6132	345	4	,	,	PUNCT
ap-6132	345	5	2009	2009	NUM
ap-6132	345	6	.	.	PUNCT
ap-6132	346	1	[	[	X
ap-6132	346	2	31	31	NUM
ap-6132	346	3	]	]	PUNCT
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ap-6132	346	10	s.	s.	PROPN
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ap-6132	347	5	and	and	CCONJ
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ap-6132	347	9	neural	neural	ADJ
ap-6132	347	10	network	network	NOUN
ap-6132	347	11	architecture	architecture	NOUN
ap-6132	347	12	for	for	ADP
ap-6132	347	13	a	a	DET
ap-6132	347	14	time	time	NOUN
ap-6132	347	15	frequency	frequency	NOUN
ap-6132	347	16	application	application	NOUN
ap-6132	347	17	.	.	PUNCT
ap-6132	348	1	in	in	ADP
ap-6132	348	2	2006	2006	NUM
ap-6132	348	3	ieee	ieee	NOUN
ap-6132	348	4	international	international	ADJ
ap-6132	348	5	multitopic	multitopic	ADJ
ap-6132	348	6	conference	conference	NOUN
ap-6132	348	7	,	,	PUNCT
ap-6132	348	8	pp	pp	X
ap-6132	348	9	.	.	PUNCT
ap-6132	349	1	188–193	188–193	NUM
ap-6132	349	2	.	.	PUNCT
ap-6132	349	3	ieee	ieee	PROPN
ap-6132	349	4	,	,	PUNCT
ap-6132	349	5	2006	2006	NUM
ap-6132	349	6	.	.	PUNCT
ap-6132	350	1	doi:10.1109	doi:10.1109	VERB
ap-6132	350	2	/	/	SYM
ap-6132	350	3	inmic.2006.358160	inmic.2006.358160	NOUN
ap-6132	350	4	.	.	PUNCT
ap-6132	351	1	[	[	X
ap-6132	351	2	32	32	NUM
ap-6132	351	3	]	]	PUNCT
ap-6132	351	4	j.	j.	PROPN
ap-6132	351	5	de	de	PROPN
ap-6132	351	6	villiers	villiers	PROPN
ap-6132	351	7	,	,	PUNCT
ap-6132	351	8	e.	e.	PROPN
ap-6132	351	9	barnard	barnard	PROPN
ap-6132	351	10	.	.	PUNCT
ap-6132	352	1	backpropagation	backpropagation	NOUN
ap-6132	352	2	neural	neural	ADJ
ap-6132	352	3	nets	net	NOUN
ap-6132	352	4	with	with	ADP
ap-6132	352	5	one	one	NUM
ap-6132	352	6	and	and	CCONJ
ap-6132	352	7	two	two	NUM
ap-6132	352	8	hidden	hidden	ADJ
ap-6132	352	9	layers	layer	NOUN
ap-6132	352	10	.	.	PUNCT
ap-6132	353	1	ieee	ieee	NOUN
ap-6132	353	2	transactions	transaction	NOUN
ap-6132	353	3	on	on	ADP
ap-6132	353	4	neural	neural	ADJ
ap-6132	353	5	networks	network	NOUN
ap-6132	353	6	4(1):136–141	4(1):136–141	NUM
ap-6132	353	7	,	,	PUNCT
ap-6132	353	8	1993	1993	NUM
ap-6132	353	9	.	.	PUNCT
ap-6132	354	1	doi:10.1109/72.182704	doi:10.1109/72.182704	VERB
ap-6132	354	2	.	.	PUNCT
ap-6132	355	1	447	447	NUM
ap-6132	355	2	http://dx.doi.org/10.1016/j.ijthermalsci.2008.11.009	http://dx.doi.org/10.1016/j.ijthermalsci.2008.11.009	NOUN
ap-6132	355	3	http://dx.doi.org/10.1016/s0925-2312(00)00301-5	http://dx.doi.org/10.1016/s0925-2312(00)00301-5	PRON
ap-6132	355	4	http://dx.doi.org/10.1109/ijcnn.2009.5178699	http://dx.doi.org/10.1109/ijcnn.2009.5178699	NOUN
ap-6132	355	5	http://dx.doi.org/10.1016/j.eswa.2010.04.018	http://dx.doi.org/10.1016/j.eswa.2010.04.018	NOUN
ap-6132	355	6	http://dx.doi.org/10.1109/icnn.1993.298623	http://dx.doi.org/10.1109/icnn.1993.298623	VERB
ap-6132	355	7	http://dx.doi.org/10.1016/b978-0-08-044538-0.x5054-x	http://dx.doi.org/10.1016/b978-0-08-044538-0.x5054-x	PROPN
ap-6132	355	8	http://dx.doi.org/10.1109/inmic.2006.358160	http://dx.doi.org/10.1109/inmic.2006.358160	PROPN
ap-6132	355	9	http://dx.doi.org/10.1109/72.182704	http://dx.doi.org/10.1109/72.182704	PROPN
ap-6132	355	10	acta	acta	PROPN
ap-6132	355	11	polytechnica	polytechnica	PROPN
ap-6132	355	12	60(5):440–447	60(5):440–447	PROPN
ap-6132	355	13	,	,	PUNCT
ap-6132	355	14	2020	2020	NUM
ap-6132	355	15	1	1	NUM
ap-6132	355	16	introduction	introduction	NOUN
ap-6132	355	17	2	2	NUM
ap-6132	355	18	materials	material	NOUN
ap-6132	355	19	and	and	CCONJ
ap-6132	355	20	methods	method	NOUN
ap-6132	355	21	2.1	2.1	NUM
ap-6132	355	22	materials	material	NOUN
ap-6132	355	23	2.2	2.2	NUM
ap-6132	355	24	data	datum	NOUN
ap-6132	355	25	preprocessing	preprocesse	VERB
ap-6132	355	26	2.3	2.3	NUM
ap-6132	355	27	artificial	artificial	ADJ
ap-6132	355	28	neural	neural	ADJ
ap-6132	355	29	network	network	NOUN
ap-6132	355	30	2.3.1	2.3.1	NUM
ap-6132	355	31	backpropagation	backpropagation	NOUN
ap-6132	355	32	learning	learn	VERB
ap-6132	355	33	algorithm	algorithm	PROPN
ap-6132	355	34	2.3.2	2.3.2	NUM
ap-6132	355	35	resilient	resilient	ADJ
ap-6132	355	36	propagation	propagation	NOUN
ap-6132	355	37	learning	learn	VERB
ap-6132	355	38	algorithm	algorithm	NOUN
ap-6132	355	39	3	3	NUM
ap-6132	355	40	results	result	NOUN
ap-6132	355	41	and	and	CCONJ
ap-6132	355	42	discussions	discussion	NOUN
ap-6132	355	43	3.1	3.1	NUM
ap-6132	355	44	backpropagation	backpropagation	NOUN
ap-6132	355	45	(	(	PUNCT
ap-6132	355	46	b	b	NOUN
ap-6132	355	47	-	-	PUNCT
ap-6132	355	48	prop	prop	NOUN
ap-6132	355	49	)	)	PUNCT
ap-6132	355	50	with	with	ADP
ap-6132	355	51	two	two	NUM
ap-6132	355	52	hidden	hide	VERB
ap-6132	355	53	layers	layer	NOUN
ap-6132	355	54	3.2	3.2	NUM
ap-6132	355	55	backpropagation	backpropagation	NOUN
ap-6132	355	56	(	(	PUNCT
ap-6132	355	57	b	b	NOUN
ap-6132	355	58	-	-	PUNCT
ap-6132	355	59	prop	prop	NOUN
ap-6132	355	60	)	)	PUNCT
ap-6132	355	61	with	with	ADP
ap-6132	355	62	one	one	NUM
ap-6132	355	63	hidden	hide	VERB
ap-6132	355	64	layer	layer	NOUN
ap-6132	355	65	3.3	3.3	NUM
ap-6132	355	66	resilient	resilient	ADJ
ap-6132	355	67	propagation	propagation	NOUN
ap-6132	355	68	(	(	PUNCT
ap-6132	355	69	r	r	NOUN
ap-6132	355	70	-	-	PUNCT
ap-6132	355	71	prop	prop	NOUN
ap-6132	355	72	)	)	PUNCT
ap-6132	355	73	with	with	ADP
ap-6132	355	74	two	two	NUM
ap-6132	355	75	hidden	hidden	ADJ
ap-6132	355	76	layers	layer	NOUN
ap-6132	355	77	3.4	3.4	NUM
ap-6132	355	78	resilient	resilient	ADJ
ap-6132	355	79	propagation	propagation	NOUN
ap-6132	355	80	(	(	PUNCT
ap-6132	355	81	r	r	NOUN
ap-6132	355	82	-	-	PUNCT
ap-6132	355	83	prop	prop	NOUN
ap-6132	355	84	)	)	PUNCT
ap-6132	355	85	with	with	ADP
ap-6132	355	86	one	one	NUM
ap-6132	355	87	hidden	hide	VERB
ap-6132	355	88	layer	layer	NOUN
ap-6132	355	89	4	4	NUM
ap-6132	355	90	conclusions	conclusion	NOUN
ap-6132	355	91	acknowledgements	acknowledgement	NOUN
ap-6132	355	92	references	reference	NOUN