id	sid	tid	token	lemma	pos
fcis-15749	1	1	frontiers	frontier	NOUN
fcis-15749	1	2	in	in	ADP
fcis-15749	1	3	computing	computing	NOUN
fcis-15749	1	4	and	and	CCONJ
fcis-15749	1	5	intelligent	intelligent	ADJ
fcis-15749	1	6	systems	system	NOUN
fcis-15749	1	7	issn	issn	VERB
fcis-15749	1	8	:	:	PUNCT
fcis-15749	1	9	2832	2832	NUM
fcis-15749	1	10	-	-	SYM
fcis-15749	1	11	6024	6024	NUM
fcis-15749	1	12	|	|	NOUN
fcis-15749	1	13	vol	vol	NOUN
fcis-15749	1	14	.	.	PROPN
fcis-15749	2	1	6	6	NUM
fcis-15749	2	2	,	,	PUNCT
fcis-15749	2	3	no	no	INTJ
fcis-15749	2	4	.	.	NOUN
fcis-15749	2	5	3	3	NUM
fcis-15749	2	6	,	,	PUNCT
fcis-15749	2	7	2023	2023	NUM
fcis-15749	2	8	10	10	NUM
fcis-15749	2	9	learning	learn	VERB
fcis-15749	2	10	for	for	ADP
fcis-15749	2	11	cellular	cellular	ADJ
fcis-15749	2	12	neural	neural	ADJ
fcis-15749	2	13	networks	network	NOUN
fcis-15749	2	14	using	use	VERB
fcis-15749	2	15	the	the	DET
fcis-15749	2	16	garpla	garpla	ADJ
fcis-15749	2	17	algorithm	algorithm	NOUN
fcis-15749	2	18	duong	duong	PROPN
fcis-15749	3	1	duc	duc	PROPN
fcis-15749	3	2	anh	anh	PROPN
fcis-15749	3	3	1	1	NUM
fcis-15749	3	4	,	,	PUNCT
fcis-15749	3	5	pham	pham	PROPN
fcis-15749	3	6	duy	duy	PROPN
fcis-15749	3	7	tuan	tuan	PROPN
fcis-15749	3	8	2	2	NUM
fcis-15749	3	9	,	,	PUNCT
fcis-15749	3	10	nguyen	nguyen	PROPN
fcis-15749	3	11	quang	quang	PROPN
fcis-15749	3	12	hoan	hoan	PROPN
fcis-15749	3	13	2	2	NUM
fcis-15749	3	14	,	,	PUNCT
fcis-15749	3	15	nguyen	nguyen	NOUN
fcis-15749	3	16	hong	hong	PROPN
fcis-15749	3	17	vu	vu	PROPN
fcis-15749	3	18	1	1	NUM
fcis-15749	3	19	,	,	PUNCT
fcis-15749	3	20	doan	doan	VERB
fcis-15749	3	21	hong	hong	PROPN
fcis-15749	3	22	quang	quang	PROPN
fcis-15749	3	23	3	3	NUM
fcis-15749	3	24	and	and	CCONJ
fcis-15749	3	25	lai	lai	PROPN
fcis-15749	3	26	thi	thi	VERB
fcis-15749	3	27	van	van	PROPN
fcis-15749	3	28	quyen	quyen	NOUN
fcis-15749	3	29	1	1	NUM
fcis-15749	3	30	1	1	NUM
fcis-15749	3	31	vietnam	vietnam	PROPN
fcis-15749	3	32	research	research	PROPN
fcis-15749	3	33	institute	institute	PROPN
fcis-15749	3	34	of	of	ADP
fcis-15749	3	35	electronics	electronic	NOUN
fcis-15749	3	36	,	,	PUNCT
fcis-15749	3	37	informatics	informatic	NOUN
fcis-15749	3	38	and	and	CCONJ
fcis-15749	3	39	automation	automation	NOUN
fcis-15749	3	40	,	,	PUNCT
fcis-15749	3	41	hanoi	hanoi	PROPN
fcis-15749	3	42	,	,	PUNCT
fcis-15749	3	43	vietnam	vietnam	PROPN
fcis-15749	3	44	2	2	NUM
fcis-15749	3	45	posts	post	NOUN
fcis-15749	3	46	and	and	CCONJ
fcis-15749	3	47	telecommunications	telecommunication	NOUN
fcis-15749	3	48	institute	institute	PROPN
fcis-15749	3	49	of	of	ADP
fcis-15749	3	50	technology	technology	PROPN
fcis-15749	3	51	,	,	PUNCT
fcis-15749	3	52	hanoi	hanoi	PROPN
fcis-15749	3	53	,	,	PUNCT
fcis-15749	3	54	vietnam	vietnam	PROPN
fcis-15749	3	55	3	3	NUM
fcis-15749	3	56	national	national	ADJ
fcis-15749	3	57	center	center	NOUN
fcis-15749	3	58	for	for	ADP
fcis-15749	3	59	technological	technological	ADJ
fcis-15749	3	60	progress	progress	NOUN
fcis-15749	3	61	,	,	PUNCT
fcis-15749	3	62	hanoi	hanoi	PROPN
fcis-15749	3	63	,	,	PUNCT
fcis-15749	3	64	vietnam	vietnam	PROPN
fcis-15749	3	65	abstract	abstract	NOUN
fcis-15749	3	66	:	:	PUNCT
fcis-15749	3	67	the	the	DET
fcis-15749	3	68	main	main	ADJ
fcis-15749	3	69	content	content	NOUN
fcis-15749	3	70	of	of	ADP
fcis-15749	3	71	this	this	DET
fcis-15749	3	72	article	article	NOUN
fcis-15749	3	73	is	be	AUX
fcis-15749	3	74	to	to	PART
fcis-15749	3	75	build	build	VERB
fcis-15749	3	76	a	a	DET
fcis-15749	3	77	hybrid	hybrid	ADJ
fcis-15749	3	78	algorithm	algorithm	NOUN
fcis-15749	3	79	between	between	ADP
fcis-15749	3	80	genetic	genetic	ADJ
fcis-15749	3	81	algorithm	algorithm	NOUN
fcis-15749	3	82	and	and	CCONJ
fcis-15749	3	83	recurrent	recurrent	ADJ
fcis-15749	3	84	perceptron	perceptron	PROPN
fcis-15749	3	85	learning	learning	PROPN
fcis-15749	3	86	algorithm	algorithm	PROPN
fcis-15749	3	87	to	to	PART
fcis-15749	3	88	determine	determine	VERB
fcis-15749	3	89	the	the	DET
fcis-15749	3	90	weight	weight	NOUN
fcis-15749	3	91	set	set	NOUN
fcis-15749	3	92	for	for	ADP
fcis-15749	3	93	standard	standard	ADJ
fcis-15749	3	94	cellular	cellular	ADJ
fcis-15749	3	95	neural	neural	ADJ
fcis-15749	3	96	networks	network	NOUN
fcis-15749	3	97	.	.	PUNCT
fcis-15749	4	1	in	in	ADP
fcis-15749	4	2	particular	particular	ADJ
fcis-15749	4	3	,	,	PUNCT
fcis-15749	4	4	the	the	DET
fcis-15749	4	5	recurrent	recurrent	ADJ
fcis-15749	4	6	perceptron	perceptron	PROPN
fcis-15749	4	7	learning	learning	PROPN
fcis-15749	4	8	algorithm	algorithm	PROPN
fcis-15749	4	9	was	be	AUX
fcis-15749	4	10	announced	announce	VERB
fcis-15749	4	11	by	by	ADP
fcis-15749	4	12	gukzelis	gukzelis	PROPN
fcis-15749	4	13	in	in	ADP
fcis-15749	4	14	1998	1998	NUM
fcis-15749	4	15	to	to	PART
fcis-15749	4	16	determine	determine	VERB
fcis-15749	4	17	the	the	DET
fcis-15749	4	18	weight	weight	NOUN
fcis-15749	4	19	set	set	NOUN
fcis-15749	4	20	for	for	ADP
fcis-15749	4	21	cenns	cenn	NOUN
fcis-15749	4	22	,	,	PUNCT
fcis-15749	4	23	however	however	ADV
fcis-15749	4	24	,	,	PUNCT
fcis-15749	4	25	the	the	DET
fcis-15749	4	26	nature	nature	NOUN
fcis-15749	4	27	of	of	ADP
fcis-15749	4	28	the	the	DET
fcis-15749	4	29	algorithm	algorithm	NOUN
fcis-15749	4	30	built	build	VERB
fcis-15749	4	31	according	accord	VERB
fcis-15749	4	32	to	to	ADP
fcis-15749	4	33	lms	lm	NOUN
fcis-15749	4	34	learning	learn	VERB
fcis-15749	4	35	rules	rule	NOUN
fcis-15749	4	36	means	mean	VERB
fcis-15749	4	37	there	there	PRON
fcis-15749	4	38	is	be	VERB
fcis-15749	4	39	still	still	ADV
fcis-15749	4	40	a	a	DET
fcis-15749	4	41	possibility	possibility	NOUN
fcis-15749	4	42	of	of	ADP
fcis-15749	4	43	local	local	ADJ
fcis-15749	4	44	convergence	convergence	NOUN
fcis-15749	4	45	problems	problem	NOUN
fcis-15749	4	46	of	of	ADP
fcis-15749	4	47	algorithm	algorithm	NOUN
fcis-15749	4	48	.	.	PUNCT
fcis-15749	5	1	meanwhile	meanwhile	ADV
fcis-15749	5	2	,	,	PUNCT
fcis-15749	5	3	the	the	DET
fcis-15749	5	4	genetic	genetic	ADJ
fcis-15749	5	5	algorithm	algorithm	NOUN
fcis-15749	5	6	originates	originate	NOUN
fcis-15749	5	7	from	from	ADP
fcis-15749	5	8	natural	natural	ADJ
fcis-15749	5	9	selection	selection	NOUN
fcis-15749	5	10	problems	problem	NOUN
fcis-15749	5	11	and	and	CCONJ
fcis-15749	5	12	is	be	AUX
fcis-15749	5	13	capable	capable	ADJ
fcis-15749	5	14	of	of	ADP
fcis-15749	5	15	determining	determine	VERB
fcis-15749	5	16	the	the	DET
fcis-15749	5	17	local	local	ADJ
fcis-15749	5	18	optimal	optimal	ADJ
fcis-15749	5	19	domain	domain	NOUN
fcis-15749	5	20	of	of	ADP
fcis-15749	5	21	the	the	DET
fcis-15749	5	22	problem	problem	NOUN
fcis-15749	5	23	.	.	PUNCT
fcis-15749	6	1	therefore	therefore	ADV
fcis-15749	6	2	,	,	PUNCT
fcis-15749	6	3	the	the	DET
fcis-15749	6	4	garpla	garpla	ADJ
fcis-15749	6	5	hybrid	hybrid	ADJ
fcis-15749	6	6	algorithm	algorithm	NOUN
fcis-15749	6	7	will	will	AUX
fcis-15749	6	8	fully	fully	ADV
fcis-15749	6	9	determine	determine	VERB
fcis-15749	6	10	the	the	DET
fcis-15749	6	11	optimal	optimal	ADJ
fcis-15749	6	12	weight	weight	NOUN
fcis-15749	6	13	set	set	NOUN
fcis-15749	6	14	for	for	ADP
fcis-15749	6	15	the	the	DET
fcis-15749	6	16	cenns	cenns	ADJ
fcis-15749	6	17	network	network	NOUN
fcis-15749	6	18	,	,	PUNCT
fcis-15749	6	19	reducing	reduce	VERB
fcis-15749	6	20	potential	potential	ADJ
fcis-15749	6	21	local	local	ADJ
fcis-15749	6	22	optimization	optimization	NOUN
fcis-15749	6	23	problems	problem	NOUN
fcis-15749	6	24	encountered	encounter	VERB
fcis-15749	6	25	in	in	ADP
fcis-15749	6	26	the	the	DET
fcis-15749	6	27	rpla	rpla	NOUN
fcis-15749	6	28	algorithm	algorithm	NOUN
fcis-15749	6	29	.	.	PUNCT
fcis-15749	7	1	keywords	keyword	NOUN
fcis-15749	7	2	:	:	PUNCT
fcis-15749	7	3	edge	edge	NOUN
fcis-15749	7	4	detection	detection	NOUN
fcis-15749	7	5	;	;	PUNCT
fcis-15749	7	6	recurrent	recurrent	ADJ
fcis-15749	7	7	perceptron	perceptron	PROPN
fcis-15749	7	8	learning	learning	PROPN
fcis-15749	7	9	algorithm	algorithm	PROPN
fcis-15749	7	10	(	(	PUNCT
fcis-15749	7	11	rpla	rpla	NOUN
fcis-15749	7	12	)	)	PUNCT
fcis-15749	7	13	;	;	PUNCT
fcis-15749	7	14	genetic	genetic	ADJ
fcis-15749	7	15	algorithm	algorithm	NOUN
fcis-15749	7	16	(	(	PUNCT
fcis-15749	7	17	ga	ga	PROPN
fcis-15749	7	18	)	)	PUNCT
fcis-15749	7	19	;	;	PUNCT
fcis-15749	7	20	weight	weight	NOUN
fcis-15749	7	21	;	;	PUNCT
fcis-15749	7	22	cellular	cellular	ADJ
fcis-15749	7	23	neural	neural	ADJ
fcis-15749	7	24	networks	network	NOUN
fcis-15749	7	25	(	(	PUNCT
fcis-15749	7	26	cenns	cenns	NOUN
fcis-15749	7	27	)	)	PUNCT
fcis-15749	7	28	.	.	PUNCT
fcis-15749	8	1	1	1	X
fcis-15749	8	2	.	.	X
fcis-15749	8	3	introduction	introduction	NOUN
fcis-15749	8	4	currently	currently	ADV
fcis-15749	8	5	,	,	PUNCT
fcis-15749	8	6	the	the	DET
fcis-15749	8	7	application	application	NOUN
fcis-15749	8	8	of	of	ADP
fcis-15749	8	9	neural	neural	ADJ
fcis-15749	8	10	networks	network	NOUN
fcis-15749	8	11	to	to	ADP
fcis-15749	8	12	image	image	NOUN
fcis-15749	8	13	processing	processing	NOUN
fcis-15749	8	14	problems	problem	NOUN
fcis-15749	8	15	such	such	ADJ
fcis-15749	8	16	as	as	ADP
fcis-15749	8	17	edge	edge	NOUN
fcis-15749	8	18	detection	detection	NOUN
fcis-15749	8	19	and	and	CCONJ
fcis-15749	8	20	separation	separation	NOUN
fcis-15749	9	1	[	[	X
fcis-15749	9	2	1	1	NUM
fcis-15749	9	3	]	]	PUNCT
fcis-15749	9	4	,	,	PUNCT
fcis-15749	9	5	[	[	X
fcis-15749	9	6	2	2	NUM
fcis-15749	9	7	]	]	PUNCT
fcis-15749	9	8	is	be	AUX
fcis-15749	9	9	becoming	become	VERB
fcis-15749	9	10	increasingly	increasingly	ADV
fcis-15749	9	11	popular	popular	ADJ
fcis-15749	9	12	.	.	PUNCT
fcis-15749	10	1	convolutional	convolutional	ADJ
fcis-15749	10	2	neural	neural	ADJ
fcis-15749	10	3	networks	network	NOUN
fcis-15749	10	4	are	be	AUX
fcis-15749	10	5	derived	derive	VERB
fcis-15749	10	6	from	from	ADP
fcis-15749	10	7	multi	multi	ADJ
fcis-15749	10	8	-	-	ADJ
fcis-15749	10	9	layer	layer	ADJ
fcis-15749	10	10	perceptron	perceptron	PROPN
fcis-15749	10	11	networks	network	NOUN
fcis-15749	10	12	[	[	X
fcis-15749	10	13	3	3	NUM
fcis-15749	10	14	]	]	PUNCT
fcis-15749	10	15	,	,	PUNCT
fcis-15749	10	16	which	which	PRON
fcis-15749	10	17	have	have	AUX
fcis-15749	10	18	been	be	AUX
fcis-15749	10	19	matured	mature	VERB
fcis-15749	10	20	and	and	CCONJ
fcis-15749	10	21	are	be	AUX
fcis-15749	10	22	available	available	ADJ
fcis-15749	10	23	in	in	ADP
fcis-15749	10	24	commercial	commercial	ADJ
fcis-15749	10	25	versions	version	NOUN
fcis-15749	10	26	.	.	PUNCT
fcis-15749	11	1	another	another	DET
fcis-15749	11	2	current	current	ADJ
fcis-15749	11	3	research	research	NOUN
fcis-15749	11	4	direction	direction	NOUN
fcis-15749	11	5	is	be	AUX
fcis-15749	11	6	to	to	PART
fcis-15749	11	7	use	use	VERB
fcis-15749	11	8	recurrent	recurrent	ADJ
fcis-15749	11	9	neural	neural	ADJ
fcis-15749	11	10	networks	network	NOUN
fcis-15749	11	11	to	to	PART
fcis-15749	11	12	embed	embed	VERB
fcis-15749	11	13	integrated	integrated	ADJ
fcis-15749	11	14	circuits	circuit	NOUN
fcis-15749	11	15	for	for	ADP
fcis-15749	11	16	specific	specific	ADJ
fcis-15749	11	17	image	image	NOUN
fcis-15749	11	18	processing	processing	NOUN
fcis-15749	11	19	problems	problem	NOUN
fcis-15749	11	20	[	[	X
fcis-15749	11	21	4	4	NUM
fcis-15749	11	22	]	]	PUNCT
fcis-15749	11	23	.	.	PUNCT
fcis-15749	12	1	cellular	cellular	ADJ
fcis-15749	12	2	neural	neural	ADJ
fcis-15749	12	3	networks	network	NOUN
fcis-15749	12	4	are	be	AUX
fcis-15749	12	5	one	one	NUM
fcis-15749	12	6	of	of	ADP
fcis-15749	12	7	the	the	DET
fcis-15749	12	8	typical	typical	ADJ
fcis-15749	12	9	structures	structure	NOUN
fcis-15749	12	10	of	of	ADP
fcis-15749	12	11	recurrent	recurrent	ADJ
fcis-15749	12	12	neural	neural	ADJ
fcis-15749	12	13	networks	network	NOUN
fcis-15749	12	14	capable	capable	ADJ
fcis-15749	12	15	of	of	ADP
fcis-15749	12	16	high	high	ADJ
fcis-15749	12	17	-	-	PUNCT
fcis-15749	12	18	speed	speed	NOUN
fcis-15749	12	19	image	image	NOUN
fcis-15749	12	20	processing	processing	NOUN
fcis-15749	12	21	[	[	X
fcis-15749	12	22	5	5	NUM
fcis-15749	12	23	]	]	PUNCT
fcis-15749	12	24	,	,	PUNCT
fcis-15749	12	25	[	[	X
fcis-15749	12	26	6	6	NUM
fcis-15749	12	27	]	]	PUNCT
fcis-15749	12	28	and	and	CCONJ
fcis-15749	12	29	embedded	embed	VERB
fcis-15749	12	30	in	in	ADP
fcis-15749	12	31	integrated	integrate	VERB
fcis-15749	12	32	hardware	hardware	NOUN
fcis-15749	12	33	circuits	circuit	NOUN
fcis-15749	12	34	such	such	ADJ
fcis-15749	12	35	as	as	ADP
fcis-15749	12	36	fpga	fpga	NOUN
fcis-15749	12	37	and	and	CCONJ
fcis-15749	12	38	asics	asic	NOUN
fcis-15749	12	39	[	[	X
fcis-15749	12	40	7	7	NUM
fcis-15749	12	41	]	]	PUNCT
fcis-15749	12	42	.	.	PUNCT
fcis-15749	13	1	therefore	therefore	ADV
fcis-15749	13	2	,	,	PUNCT
fcis-15749	13	3	research	research	NOUN
fcis-15749	13	4	and	and	CCONJ
fcis-15749	13	5	development	development	NOUN
fcis-15749	13	6	of	of	ADP
fcis-15749	13	7	content	content	NOUN
fcis-15749	13	8	related	relate	VERB
fcis-15749	13	9	to	to	ADP
fcis-15749	13	10	cellular	cellular	ADJ
fcis-15749	13	11	neural	neural	ADJ
fcis-15749	13	12	networks	network	NOUN
fcis-15749	13	13	needs	need	VERB
fcis-15749	13	14	to	to	PART
fcis-15749	13	15	be	be	AUX
fcis-15749	13	16	promoted	promote	VERB
fcis-15749	13	17	and	and	CCONJ
fcis-15749	13	18	implemented	implement	VERB
fcis-15749	13	19	in	in	ADP
fcis-15749	13	20	the	the	DET
fcis-15749	13	21	current	current	ADJ
fcis-15749	13	22	context	context	NOUN
fcis-15749	13	23	.	.	PUNCT
fcis-15749	14	1	because	because	SCONJ
fcis-15749	14	2	the	the	DET
fcis-15749	14	3	cellular	cellular	ADJ
fcis-15749	14	4	neural	neural	ADJ
fcis-15749	14	5	network	network	NOUN
fcis-15749	14	6	belongs	belong	VERB
fcis-15749	14	7	to	to	ADP
fcis-15749	14	8	the	the	DET
fcis-15749	14	9	recurrent	recurrent	ADJ
fcis-15749	14	10	network	network	NOUN
fcis-15749	14	11	class	class	NOUN
fcis-15749	14	12	,	,	PUNCT
fcis-15749	14	13	the	the	DET
fcis-15749	14	14	weight	weight	NOUN
fcis-15749	14	15	determination	determination	NOUN
fcis-15749	14	16	is	be	AUX
fcis-15749	14	17	usually	usually	ADV
fcis-15749	14	18	used	use	VERB
fcis-15749	14	19	according	accord	VERB
fcis-15749	14	20	to	to	ADP
fcis-15749	14	21	hebb	hebb	PROPN
fcis-15749	14	22	's	's	PART
fcis-15749	14	23	law	law	NOUN
fcis-15749	14	24	and	and	CCONJ
fcis-15749	14	25	only	only	ADV
fcis-15749	14	26	determines	determine	VERB
fcis-15749	14	27	the	the	DET
fcis-15749	14	28	response	response	NOUN
fcis-15749	14	29	weight	weight	NOUN
fcis-15749	14	30	a.	a.	NOUN
fcis-15749	14	31	thus	thus	ADV
fcis-15749	14	32	,	,	PUNCT
fcis-15749	14	33	the	the	DET
fcis-15749	14	34	influence	influence	NOUN
fcis-15749	14	35	of	of	ADP
fcis-15749	14	36	the	the	DET
fcis-15749	14	37	b	b	PROPN
fcis-15749	14	38	and	and	CCONJ
fcis-15749	14	39	i	i	PRON
fcis-15749	14	40	weight	weight	NOUN
fcis-15749	14	41	matrices	matrix	NOUN
fcis-15749	14	42	are	be	AUX
fcis-15749	14	43	not	not	PART
fcis-15749	14	44	considered	consider	VERB
fcis-15749	14	45	to	to	ADP
fcis-15749	14	46	the	the	DET
fcis-15749	14	47	network	network	NOUN
fcis-15749	14	48	structure	structure	NOUN
fcis-15749	14	49	.	.	PUNCT
fcis-15749	15	1	in	in	ADP
fcis-15749	15	2	1998	1998	NUM
fcis-15749	15	3	,	,	PUNCT
fcis-15749	15	4	gukzelis	gukzelis	PROPN
fcis-15749	16	1	[	[	X
fcis-15749	16	2	8	8	NUM
fcis-15749	16	3	]	]	PUNCT
fcis-15749	16	4	proposed	propose	VERB
fcis-15749	16	5	an	an	DET
fcis-15749	16	6	rpla	rpla	NOUN
fcis-15749	16	7	algorithm	algorithm	NOUN
fcis-15749	16	8	to	to	PART
fcis-15749	16	9	fully	fully	ADV
fcis-15749	16	10	determine	determine	VERB
fcis-15749	16	11	the	the	DET
fcis-15749	16	12	weight	weight	NOUN
fcis-15749	16	13	set	set	NOUN
fcis-15749	16	14	for	for	ADP
fcis-15749	16	15	cenns	cenn	NOUN
fcis-15749	16	16	.	.	PUNCT
fcis-15749	17	1	however	however	ADV
fcis-15749	17	2	,	,	PUNCT
fcis-15749	17	3	the	the	DET
fcis-15749	17	4	origin	origin	NOUN
fcis-15749	17	5	of	of	ADP
fcis-15749	17	6	the	the	DET
fcis-15749	17	7	algorithm	algorithm	NOUN
fcis-15749	17	8	comes	come	VERB
fcis-15749	17	9	from	from	ADP
fcis-15749	17	10	the	the	DET
fcis-15749	17	11	lms	lm	NOUN
fcis-15749	17	12	method	method	NOUN
fcis-15749	17	13	,	,	PUNCT
fcis-15749	17	14	so	so	SCONJ
fcis-15749	17	15	there	there	PRON
fcis-15749	17	16	is	be	VERB
fcis-15749	17	17	a	a	DET
fcis-15749	17	18	possibility	possibility	NOUN
fcis-15749	17	19	of	of	ADP
fcis-15749	17	20	a	a	DET
fcis-15749	17	21	local	local	ADJ
fcis-15749	17	22	extrema	extrema	NOUN
fcis-15749	17	23	problem	problem	NOUN
fcis-15749	17	24	with	with	ADP
fcis-15749	17	25	the	the	DET
fcis-15749	17	26	algorithm	algorithm	NOUN
fcis-15749	17	27	results	result	VERB
fcis-15749	17	28	.	.	PUNCT
fcis-15749	18	1	in	in	ADP
fcis-15749	18	2	order	order	NOUN
fcis-15749	18	3	to	to	PART
fcis-15749	18	4	minimize	minimize	VERB
fcis-15749	18	5	this	this	DET
fcis-15749	18	6	case	case	NOUN
fcis-15749	18	7	,	,	PUNCT
fcis-15749	18	8	we	we	PRON
fcis-15749	18	9	build	build	VERB
fcis-15749	18	10	a	a	DET
fcis-15749	18	11	hybrid	hybrid	ADJ
fcis-15749	18	12	algorithm	algorithm	NOUN
fcis-15749	18	13	between	between	ADP
fcis-15749	18	14	genetic	genetic	ADJ
fcis-15749	18	15	algorithm	algorithm	NOUN
fcis-15749	18	16	and	and	CCONJ
fcis-15749	18	17	rpla	rpla	NOUN
fcis-15749	18	18	to	to	PART
fcis-15749	18	19	determine	determine	VERB
fcis-15749	18	20	the	the	DET
fcis-15749	18	21	global	global	ADJ
fcis-15749	18	22	optimal	optimal	ADJ
fcis-15749	18	23	value	value	NOUN
fcis-15749	18	24	for	for	ADP
fcis-15749	18	25	weight	weight	NOUN
fcis-15749	18	26	matrices	matrix	NOUN
fcis-15749	18	27	for	for	ADP
fcis-15749	18	28	cenns	cenns	ADJ
fcis-15749	18	29	network	network	NOUN
fcis-15749	18	30	.	.	PUNCT
fcis-15749	19	1	2	2	X
fcis-15749	19	2	.	.	X
fcis-15749	19	3	methodology	methodology	NOUN
fcis-15749	19	4	2.1	2.1	NUM
fcis-15749	19	5	.	.	PUNCT
fcis-15749	20	1	stucture	stucture	NOUN
fcis-15749	20	2	of	of	ADP
fcis-15749	20	3	celullar	celullar	ADJ
fcis-15749	20	4	neural	neural	ADJ
fcis-15749	20	5	networks	network	NOUN
fcis-15749	20	6	cenns	cenn	NOUN
fcis-15749	20	7	are	be	AUX
fcis-15749	20	8	built	build	VERB
fcis-15749	20	9	and	and	CCONJ
fcis-15749	20	10	developed	develop	VERB
fcis-15749	20	11	based	base	VERB
fcis-15749	20	12	on	on	ADP
fcis-15749	20	13	the	the	DET
fcis-15749	20	14	architecture	architecture	NOUN
fcis-15749	20	15	of	of	ADP
fcis-15749	20	16	an	an	DET
fcis-15749	20	17	analog	analog	NOUN
fcis-15749	20	18	circuit	circuit	NOUN
fcis-15749	21	1	[	[	X
fcis-15749	21	2	9	9	NUM
fcis-15749	21	3	]	]	PUNCT
fcis-15749	21	4	.	.	PUNCT
fcis-15749	22	1	each	each	DET
fcis-15749	22	2	circuit	circuit	NOUN
fcis-15749	22	3	of	of	ADP
fcis-15749	22	4	cenns	cenns	NOUN
fcis-15749	22	5	is	be	AUX
fcis-15749	22	6	considered	consider	VERB
fcis-15749	22	7	a	a	DET
fcis-15749	22	8	cell	cell	NOUN
fcis-15749	22	9	,	,	PUNCT
fcis-15749	22	10	which	which	PRON
fcis-15749	22	11	contains	contain	VERB
fcis-15749	22	12	linear	linear	ADJ
fcis-15749	22	13	components	component	NOUN
fcis-15749	22	14	such	such	ADJ
fcis-15749	22	15	as	as	ADP
fcis-15749	22	16	capacitor	capacitor	NOUN
fcis-15749	22	17	c	c	NOUN
fcis-15749	22	18	,	,	PUNCT
fcis-15749	22	19	resistor	resistor	NOUN
fcis-15749	22	20	rx	rx	ADJ
fcis-15749	22	21	and	and	CCONJ
fcis-15749	22	22	nonlinear	nonlinear	ADJ
fcis-15749	22	23	components	component	NOUN
fcis-15749	22	24	including	include	VERB
fcis-15749	22	25	nonlinear	nonlinear	PROPN
fcis-15749	22	26	control	control	NOUN
fcis-15749	22	27	sources	source	NOUN
fcis-15749	22	28	and	and	CCONJ
fcis-15749	22	29	external	external	ADJ
fcis-15749	22	30	sources	source	NOUN
fcis-15749	22	31	.	.	PUNCT
fcis-15749	23	1	the	the	DET
fcis-15749	23	2	system	system	NOUN
fcis-15749	23	3	of	of	ADP
fcis-15749	23	4	dynamic	dynamic	ADJ
fcis-15749	23	5	equations	equation	NOUN
fcis-15749	23	6	of	of	ADP
fcis-15749	23	7	basic	basic	ADJ
fcis-15749	23	8	cenns	cenns	NOUN
fcis-15749	23	9	is	be	AUX
fcis-15749	23	10	as	as	SCONJ
fcis-15749	23	11	follows	follow	VERB
fcis-15749	23	12	:	:	PUNCT
fcis-15749	23	13	∑	∑	PUNCT
fcis-15749	23	14	,	,	PUNCT
fcis-15749	23	15	;	;	PUNCT
fcis-15749	23	16	,	,	PUNCT
fcis-15749	23	17	,	,	PUNCT
fcis-15749	23	18	∈	∈	PROPN
fcis-15749	23	19	,	,	PUNCT
fcis-15749	23	20	∑	∑	ADV
fcis-15749	23	21	,	,	PUNCT
fcis-15749	23	22	;	;	PUNCT
fcis-15749	23	23	,	,	PUNCT
fcis-15749	23	24	,	,	PUNCT
fcis-15749	23	25	∈	∈	PROPN
fcis-15749	23	26	,	,	PUNCT
fcis-15749	23	27	(	(	PUNCT
fcis-15749	23	28	1	1	NUM
fcis-15749	23	29	)	)	PUNCT
fcis-15749	23	30	0	0	NUM
fcis-15749	23	31	,	,	PUNCT
fcis-15749	23	32	;	;	PUNCT
fcis-15749	23	33	0	0	NUM
fcis-15749	23	34	,	,	PUNCT
fcis-15749	23	35	output	output	NOUN
fcis-15749	23	36	interaction	interaction	NOUN
fcis-15749	23	37	function	function	NOUN
fcis-15749	23	38	:	:	PUNCT
fcis-15749	23	39	1	1	NUM
fcis-15749	23	40	1	1	NUM
fcis-15749	23	41	(	(	PUNCT
fcis-15749	23	42	2	2	NUM
fcis-15749	23	43	)	)	PUNCT
fcis-15749	23	44	constraints	constraint	NOUN
fcis-15749	23	45	for	for	ADP
fcis-15749	23	46	stable	stable	ADJ
fcis-15749	23	47	cenns	cenn	NOUN
fcis-15749	23	48	:	:	PUNCT
fcis-15749	23	49	a1(i	a1(i	PROPN
fcis-15749	23	50	,	,	PUNCT
fcis-15749	23	51	j	j	PROPN
fcis-15749	23	52	;	;	PUNCT
fcis-15749	23	53	k	k	PROPN
fcis-15749	23	54	,	,	PUNCT
fcis-15749	23	55	l)=a1(k	l)=a1(k	PROPN
fcis-15749	23	56	,	,	PUNCT
fcis-15749	23	57	l	l	NOUN
fcis-15749	23	58	;	;	PUNCT
fcis-15749	23	59	i	i	PRON
fcis-15749	23	60	,	,	PUNCT
fcis-15749	23	61	j	j	PROPN
fcis-15749	23	62	)	)	PUNCT
fcis-15749	23	63	(	(	PUNCT
fcis-15749	23	64	3	3	X
fcis-15749	23	65	)	)	PUNCT
fcis-15749	23	66	assumed	assume	VERB
fcis-15749	23	67	conditions	condition	NOUN
fcis-15749	23	68	uij	uij	PRON
fcis-15749	23	69	≤	≤	NOUN
fcis-15749	23	70	1	1	NUM
fcis-15749	23	71	;	;	PUNCT
fcis-15749	23	72	xij	xij	X
fcis-15749	23	73	(	(	PUNCT
fcis-15749	23	74	0	0	NUM
fcis-15749	23	75	)	)	PUNCT
fcis-15749	23	76	≤	≤	NOUN
fcis-15749	23	77	1	1	NUM
fcis-15749	23	78	(	(	PUNCT
fcis-15749	23	79	4	4	NUM
fcis-15749	23	80	)	)	PUNCT
fcis-15749	23	81	in	in	ADP
fcis-15749	23	82	there	there	ADV
fcis-15749	23	83	:	:	PUNCT
fcis-15749	23	84	r	r	X
fcis-15749	23	85	:	:	PUNCT
fcis-15749	23	86	neighborhood	neighborhood	NOUN
fcis-15749	23	87	radius	radius	NOUN
fcis-15749	23	88	of	of	ADP
fcis-15749	23	89	cell	cell	NOUN
fcis-15749	23	90	c(i	c(i	PROPN
fcis-15749	23	91	,	,	PUNCT
fcis-15749	23	92	j	j	NOUN
fcis-15749	23	93	)	)	PUNCT
fcis-15749	23	94	.	.	PUNCT
fcis-15749	24	1	this	this	DET
fcis-15749	24	2	problem	problem	NOUN
fcis-15749	24	3	uses	use	VERB
fcis-15749	24	4	the	the	DET
fcis-15749	24	5	neighborhood	neighborhood	NOUN
fcis-15749	24	6	radius	radius	NOUN
fcis-15749	24	7	r	r	NOUN
fcis-15749	24	8	=	=	SYM
fcis-15749	24	9	1	1	NUM
fcis-15749	24	10	,	,	PUNCT
fcis-15749	24	11	then	then	ADV
fcis-15749	24	12	c(i	c(i	PROPN
fcis-15749	24	13	,	,	PUNCT
fcis-15749	24	14	j	j	NOUN
fcis-15749	24	15	)	)	PUNCT
fcis-15749	24	16	is	be	AUX
fcis-15749	24	17	affected	affect	VERB
fcis-15749	24	18	by	by	ADP
fcis-15749	24	19	08	08	NUM
fcis-15749	24	20	neighboring	neighboring	NOUN
fcis-15749	24	21	cells	cell	NOUN
fcis-15749	24	22	and	and	CCONJ
fcis-15749	24	23	the	the	DET
fcis-15749	24	24	feedback	feedback	NOUN
fcis-15749	24	25	of	of	ADP
fcis-15749	24	26	c(i	c(i	NOUN
fcis-15749	24	27	,	,	PUNCT
fcis-15749	24	28	j	j	NOUN
fcis-15749	24	29	)	)	PUNCT
fcis-15749	24	30	itself	itself	PRON
fcis-15749	24	31	.	.	PUNCT
fcis-15749	25	1	c	c	X
fcis-15749	25	2	,	,	PUNCT
fcis-15749	25	3	rx	rx	ADJ
fcis-15749	25	4	:	:	PUNCT
fcis-15749	25	5	capacitor	capacitor	NOUN
fcis-15749	25	6	,	,	PUNCT
fcis-15749	25	7	resistance	resistance	NOUN
fcis-15749	25	8	of	of	ADP
fcis-15749	25	9	cenns	cenns	NOUN
fcis-15749	25	10	,	,	PUNCT
fcis-15749	25	11	;	;	PUNCT
fcis-15749	25	12	,	,	PUNCT
fcis-15749	25	13	,	,	PUNCT
fcis-15749	25	14	,	,	PUNCT
fcis-15749	25	15	;	;	PUNCT
fcis-15749	25	16	,	,	PUNCT
fcis-15749	25	17	:	:	PUNCT
fcis-15749	25	18	weight	weight	NOUN
fcis-15749	25	19	matrix	matrix	NOUN
fcis-15749	25	20	describes	describe	VERB
fcis-15749	25	21	the	the	DET
fcis-15749	25	22	connection	connection	NOUN
fcis-15749	25	23	between	between	ADP
fcis-15749	25	24	cell	cell	NOUN
fcis-15749	25	25	c(i	c(i	NOUN
fcis-15749	25	26	,	,	PUNCT
fcis-15749	25	27	j	j	NOUN
fcis-15749	25	28	)	)	PUNCT
fcis-15749	25	29	with	with	ADP
fcis-15749	25	30	neighboring	neighboring	NOUN
fcis-15749	25	31	cells	cell	NOUN
fcis-15749	25	32	c(k	c(k	NOUN
fcis-15749	25	33	,	,	PUNCT
fcis-15749	25	34	l	l	NOUN
fcis-15749	25	35	)	)	PUNCT
fcis-15749	25	36	of	of	ADP
fcis-15749	25	37	the	the	DET
fcis-15749	25	38	output	output	NOUN
fcis-15749	25	39	and	and	CCONJ
fcis-15749	25	40	input	input	NOUN
fcis-15749	25	41	signals	signal	NOUN
fcis-15749	25	42	respectively	respectively	ADV
fcis-15749	25	43	;	;	PUNCT
fcis-15749	25	44	size	size	NOUN
fcis-15749	25	45	(	(	PUNCT
fcis-15749	25	46	3x3	3x3	NUM
fcis-15749	25	47	)	)	PUNCT
fcis-15749	25	48	.	.	PUNCT
fcis-15749	26	1	(	(	PUNCT
fcis-15749	26	2	i	i	PRON
fcis-15749	26	3	,	,	PUNCT
fcis-15749	26	4	j	j	PROPN
fcis-15749	26	5	)	)	PUNCT
fcis-15749	26	6	,	,	PUNCT
fcis-15749	26	7	(	(	PUNCT
fcis-15749	26	8	k	k	X
fcis-15749	26	9	,	,	PUNCT
fcis-15749	26	10	l	l	NOUN
fcis-15749	26	11	):	):	PUNCT
fcis-15749	26	12	represents	represent	VERB
fcis-15749	26	13	the	the	DET
fcis-15749	26	14	position	position	NOUN
fcis-15749	26	15	of	of	ADP
fcis-15749	26	16	the	the	DET
fcis-15749	26	17	cell	cell	NOUN
fcis-15749	26	18	in	in	ADP
fcis-15749	26	19	cenns	cenns	NOUN
fcis-15749	26	20	of	of	ADP
fcis-15749	26	21	size	size	NOUN
fcis-15749	26	22	(	(	PUNCT
fcis-15749	26	23	mxn	mxn	PROPN
fcis-15749	26	24	)	)	PUNCT
fcis-15749	26	25	.	.	PUNCT
fcis-15749	27	1	m	m	PROPN
fcis-15749	27	2	,	,	PUNCT
fcis-15749	27	3	n	n	CCONJ
fcis-15749	27	4	:	:	PUNCT
fcis-15749	27	5	number	number	NOUN
fcis-15749	27	6	of	of	ADP
fcis-15749	27	7	cells	cell	NOUN
fcis-15749	27	8	of	of	ADP
fcis-15749	27	9	cenns	cenns	NOUN
fcis-15749	27	10	horizontally	horizontally	ADV
fcis-15749	27	11	and	and	CCONJ
fcis-15749	27	12	vertically	vertically	ADV
fcis-15749	27	13	,	,	PUNCT
fcis-15749	27	14	respectively	respectively	ADV
fcis-15749	27	15	.	.	PUNCT
fcis-15749	28	1	i	i	PRON
fcis-15749	28	2	:	:	PUNCT
fcis-15749	28	3	threshold	threshold	NOUN
fcis-15749	28	4	matrix	matrix	NOUN
fcis-15749	28	5	,	,	PUNCT
fcis-15749	28	6	size	size	NOUN
fcis-15749	28	7	(	(	PUNCT
fcis-15749	28	8	1x1	1x1	NUM
fcis-15749	28	9	)	)	PUNCT
fcis-15749	28	10	.	.	PUNCT
fcis-15749	29	1	ij	ij	NOUN
fcis-15749	29	2	∈	∈	NOUN
fcis-15749	29	3	:	:	PUNCT
fcis-15749	29	4	cell	cell	NOUN
fcis-15749	29	5	state	state	NOUN
fcis-15749	29	6	(	(	PUNCT
fcis-15749	29	7	i	i	PROPN
fcis-15749	29	8	,	,	PUNCT
fcis-15749	29	9	j	j	PROPN
fcis-15749	29	10	)	)	PUNCT
fcis-15749	29	11	,	,	PUNCT
fcis-15749	29	12	size	size	NOUN
fcis-15749	29	13	(	(	PUNCT
fcis-15749	29	14	mxn	mxn	PROPN
fcis-15749	29	15	)	)	PUNCT
fcis-15749	29	16	.	.	PUNCT
fcis-15749	30	1	ij	ij	NOUN
fcis-15749	30	2	∈	∈	PROPN
fcis-15749	30	3	:	:	PUNCT
fcis-15749	30	4	network	network	NOUN
fcis-15749	30	5	output	output	NOUN
fcis-15749	30	6	signal	signal	PROPN
fcis-15749	30	7	matrix	matrix	NOUN
fcis-15749	30	8	;	;	PUNCT
fcis-15749	30	9	size	size	NOUN
fcis-15749	30	10	(	(	PUNCT
fcis-15749	30	11	mxn	mxn	PROPN
fcis-15749	30	12	)	)	PUNCT
fcis-15749	30	13	.	.	PUNCT
fcis-15749	31	1	ij	ij	NOUN
fcis-15749	31	2	∈	∈	PROPN
fcis-15749	31	3	:	:	PUNCT
fcis-15749	31	4	input	input	NOUN
fcis-15749	31	5	signal	signal	NOUN
fcis-15749	31	6	of	of	ADP
fcis-15749	31	7	the	the	DET
fcis-15749	31	8	network	network	NOUN
fcis-15749	31	9	;	;	PUNCT
fcis-15749	31	10	size	size	NOUN
fcis-15749	31	11	(	(	PUNCT
fcis-15749	31	12	mxn	mxn	PROPN
fcis-15749	31	13	)	)	PUNCT
fcis-15749	31	14	.	.	PUNCT
fcis-15749	32	1	thus	thus	ADV
fcis-15749	32	2	,	,	PUNCT
fcis-15749	32	3	the	the	DET
fcis-15749	32	4	network	network	NOUN
fcis-15749	32	5	structure	structure	NOUN
fcis-15749	32	6	outlined	outline	VERB
fcis-15749	32	7	in	in	ADP
fcis-15749	32	8	equation	equation	NOUN
fcis-15749	32	9	(	(	PUNCT
fcis-15749	32	10	1	1	X
fcis-15749	32	11	)	)	PUNCT
fcis-15749	32	12	is	be	AUX
fcis-15749	32	13	depicted	depict	VERB
fcis-15749	32	14	in	in	ADP
fcis-15749	32	15	the	the	DET
fcis-15749	32	16	following	follow	VERB
fcis-15749	32	17	form	form	NOUN
fcis-15749	32	18	:	:	PUNCT
fcis-15749	32	19	11	11	NUM
fcis-15749	32	20	∑	∑	PUNCT
fcis-15749	32	21	a1(i	a1(i	PROPN
fcis-15749	32	22	,	,	PUNCT
fcis-15749	32	23	j	j	PROPN
fcis-15749	32	24	;	;	PUNCT
fcis-15749	32	25	k	k	X
fcis-15749	32	26	,	,	PUNCT
fcis-15749	32	27	l	l	NOUN
fcis-15749	32	28	)	)	PUNCT
fcis-15749	32	29	b1(i	b1(i	PROPN
fcis-15749	32	30	,	,	PUNCT
fcis-15749	32	31	j	j	PROPN
fcis-15749	32	32	;	;	PUNCT
fcis-15749	32	33	k	k	X
fcis-15749	32	34	,	,	PUNCT
fcis-15749	32	35	l	l	NOUN
fcis-15749	32	36	)	)	PUNCT
fcis-15749	32	37	∫	∫	PROPN
fcis-15749	32	38	-1	-1	PUNCT
fcis-15749	32	39	/	/	SYM
fcis-15749	32	40	rx	rx	ADJ
fcis-15749	32	41	1	1	NUM
fcis-15749	32	42	/	/	SYM
fcis-15749	32	43	c	c	NOUN
fcis-15749	32	44	uij	uij	PRON
fcis-15749	33	1	i	i	PRON
fcis-15749	33	2	‐1	‐1	NUM
fcis-15749	33	3	1	1	NUM
fcis-15749	33	4	‐1	‐1	NUM
fcis-15749	33	5	1	1	NUM
fcis-15749	33	6	yij(t	yij(t	PROPN
fcis-15749	33	7	)	)	PUNCT
fcis-15749	33	8	ui-1j	ui-1j	NOUN
fcis-15749	33	9	ui+1j+1	ui+1j+1	PROPN
fcis-15749	33	10	yi+1j+1(t	yi+1j+1(t	PROPN
fcis-15749	33	11	)	)	PUNCT
fcis-15749	33	12	yi-1j(t	yi-1j(t	PROPN
fcis-15749	33	13	)	)	PUNCT
fcis-15749	33	14	figure	figure	NOUN
fcis-15749	33	15	1	1	NUM
fcis-15749	33	16	.	.	PUNCT
fcis-15749	33	17	structure	structure	NOUN
fcis-15749	33	18	diagram	diagram	NOUN
fcis-15749	33	19	of	of	ADP
fcis-15749	33	20	the	the	DET
fcis-15749	33	21	cenns	cenns	ADJ
fcis-15749	33	22	2.2	2.2	NUM
fcis-15749	33	23	.	.	PUNCT
fcis-15749	34	1	hybrid	hybrid	ADJ
fcis-15749	34	2	algorithm	algorithm	PROPN
fcis-15749	34	3	ga	ga	PROPN
fcis-15749	34	4	combined	combine	VERB
fcis-15749	34	5	with	with	ADP
fcis-15749	34	6	rpla	rpla	NOUN
fcis-15749	34	7	(	(	PUNCT
fcis-15749	34	8	garpla	garpla	NOUN
fcis-15749	34	9	)	)	PUNCT
fcis-15749	34	10	as	as	SCONJ
fcis-15749	34	11	demonstrated	demonstrate	VERB
fcis-15749	34	12	in	in	ADP
fcis-15749	34	13	the	the	DET
fcis-15749	34	14	preceding	precede	VERB
fcis-15749	34	15	text	text	NOUN
fcis-15749	34	16	,	,	PUNCT
fcis-15749	34	17	the	the	DET
fcis-15749	34	18	perceptron	perceptron	PROPN
fcis-15749	34	19	algorithm	algorithm	PROPN
fcis-15749	34	20	emerges	emerge	VERB
fcis-15749	34	21	as	as	ADP
fcis-15749	34	22	a	a	DET
fcis-15749	34	23	distinct	distinct	ADJ
fcis-15749	34	24	instance	instance	NOUN
fcis-15749	34	25	of	of	ADP
fcis-15749	34	26	lms	lm	NOUN
fcis-15749	34	27	learning	learn	VERB
fcis-15749	34	28	rules	rule	NOUN
fcis-15749	34	29	,	,	PUNCT
fcis-15749	34	30	indicating	indicate	VERB
fcis-15749	34	31	a	a	DET
fcis-15749	34	32	propensity	propensity	NOUN
fcis-15749	34	33	for	for	ADP
fcis-15749	34	34	local	local	ADJ
fcis-15749	34	35	convergence	convergence	NOUN
fcis-15749	34	36	in	in	ADP
fcis-15749	34	37	its	its	PRON
fcis-15749	34	38	outcomes	outcome	NOUN
fcis-15749	34	39	.	.	PUNCT
fcis-15749	35	1	this	this	DET
fcis-15749	35	2	document	document	NOUN
fcis-15749	35	3	introduces	introduce	VERB
fcis-15749	35	4	an	an	DET
fcis-15749	35	5	algorithm	algorithm	NOUN
fcis-15749	35	6	designed	design	VERB
fcis-15749	35	7	to	to	PART
fcis-15749	35	8	secure	secure	VERB
fcis-15749	35	9	global	global	ADJ
fcis-15749	35	10	optimization	optimization	NOUN
fcis-15749	35	11	,	,	PUNCT
fcis-15749	35	12	incorporating	incorporate	VERB
fcis-15749	35	13	a	a	DET
fcis-15749	35	14	fusion	fusion	NOUN
fcis-15749	35	15	of	of	ADP
fcis-15749	35	16	ga	ga	PROPN
fcis-15749	35	17	and	and	CCONJ
fcis-15749	35	18	rpla	rpla	PROPN
fcis-15749	35	19	algorithm	algorithm	NOUN
fcis-15749	35	20	.	.	PUNCT
fcis-15749	36	1	the	the	DET
fcis-15749	36	2	ga	ga	PROPN
fcis-15749	36	3	assumes	assume	VERB
fcis-15749	36	4	a	a	DET
fcis-15749	36	5	pivotal	pivotal	ADJ
fcis-15749	36	6	role	role	NOUN
fcis-15749	36	7	in	in	ADP
fcis-15749	36	8	delineating	delineate	VERB
fcis-15749	36	9	the	the	DET
fcis-15749	36	10	global	global	ADJ
fcis-15749	36	11	optimal	optimal	ADJ
fcis-15749	36	12	value	value	NOUN
fcis-15749	36	13	domain	domain	NOUN
fcis-15749	36	14	,	,	PUNCT
fcis-15749	36	15	while	while	SCONJ
fcis-15749	36	16	the	the	DET
fcis-15749	36	17	rpla	rpla	NOUN
fcis-15749	36	18	algorithm	algorithm	NOUN
fcis-15749	36	19	guarantees	guarantee	VERB
fcis-15749	36	20	the	the	DET
fcis-15749	36	21	identification	identification	NOUN
fcis-15749	36	22	of	of	ADP
fcis-15749	36	23	the	the	DET
fcis-15749	36	24	algorithm	algorithm	NOUN
fcis-15749	36	25	's	's	PART
fcis-15749	36	26	extreme	extreme	ADJ
fcis-15749	36	27	point	point	NOUN
fcis-15749	36	28	.	.	PUNCT
fcis-15749	37	1	the	the	DET
fcis-15749	37	2	details	detail	NOUN
fcis-15749	37	3	of	of	ADP
fcis-15749	37	4	this	this	DET
fcis-15749	37	5	approach	approach	NOUN
fcis-15749	37	6	are	be	AUX
fcis-15749	37	7	outlined	outline	VERB
fcis-15749	37	8	below	below	ADV
fcis-15749	37	9	:	:	PUNCT
fcis-15749	37	10	to	to	PART
fcis-15749	37	11	implement	implement	VERB
fcis-15749	37	12	the	the	DET
fcis-15749	37	13	hybrid	hybrid	ADJ
fcis-15749	37	14	algorithm	algorithm	NOUN
fcis-15749	37	15	,	,	PUNCT
fcis-15749	37	16	we	we	PRON
fcis-15749	37	17	divide	divide	VERB
fcis-15749	37	18	it	it	PRON
fcis-15749	37	19	into	into	ADP
fcis-15749	37	20	two	two	NUM
fcis-15749	37	21	steps	step	NOUN
fcis-15749	37	22	:	:	PUNCT
fcis-15749	37	23	step	step	NOUN
fcis-15749	37	24	1	1	NUM
fcis-15749	37	25	:	:	PUNCT
fcis-15749	37	26	use	use	VERB
fcis-15749	37	27	ga	ga	PROPN
fcis-15749	37	28	to	to	PART
fcis-15749	37	29	calculate	calculate	VERB
fcis-15749	37	30	a	a	DET
fcis-15749	37	31	set	set	NOUN
fcis-15749	37	32	of	of	ADP
fcis-15749	37	33	weights	weight	NOUN
fcis-15749	37	34	for	for	ADP
fcis-15749	37	35	cenns	cenn	NOUN
fcis-15749	37	36	.	.	PUNCT
fcis-15749	38	1	then	then	ADV
fcis-15749	38	2	,	,	PUNCT
fcis-15749	38	3	this	this	DET
fcis-15749	38	4	set	set	NOUN
fcis-15749	38	5	of	of	ADP
fcis-15749	38	6	weights	weight	NOUN
fcis-15749	38	7	is	be	AUX
fcis-15749	38	8	guaranteed	guarantee	VERB
fcis-15749	38	9	to	to	PART
fcis-15749	38	10	be	be	AUX
fcis-15749	38	11	in	in	ADP
fcis-15749	38	12	the	the	DET
fcis-15749	38	13	globally	globally	ADV
fcis-15749	38	14	convergent	convergent	ADJ
fcis-15749	38	15	value	value	NOUN
fcis-15749	38	16	range	range	NOUN
fcis-15749	38	17	of	of	ADP
fcis-15749	38	18	the	the	DET
fcis-15749	38	19	weight	weight	NOUN
fcis-15749	38	20	sets	set	NOUN
fcis-15749	38	21	.	.	PUNCT
fcis-15749	39	1	step	step	NOUN
fcis-15749	39	2	2	2	NUM
fcis-15749	39	3	:	:	PUNCT
fcis-15749	39	4	from	from	ADP
fcis-15749	39	5	the	the	DET
fcis-15749	39	6	weight	weight	NOUN
fcis-15749	39	7	sets	set	NOUN
fcis-15749	39	8	calculated	calculate	VERB
fcis-15749	39	9	from	from	ADP
fcis-15749	39	10	ga	ga	PROPN
fcis-15749	39	11	,	,	PUNCT
fcis-15749	39	12	select	select	VERB
fcis-15749	39	13	the	the	DET
fcis-15749	39	14	initial	initial	ADJ
fcis-15749	39	15	weight	weight	NOUN
fcis-15749	39	16	matrix	matrix	NOUN
fcis-15749	39	17	for	for	ADP
fcis-15749	39	18	the	the	DET
fcis-15749	39	19	rpla	rpla	NOUN
fcis-15749	39	20	algorithm	algorithm	NOUN
fcis-15749	39	21	.	.	PUNCT
fcis-15749	40	1	use	use	VERB
fcis-15749	40	2	the	the	DET
fcis-15749	40	3	rpla	rpla	NOUN
fcis-15749	40	4	algorithm	algorithm	NOUN
fcis-15749	40	5	to	to	PART
fcis-15749	40	6	calculate	calculate	VERB
fcis-15749	40	7	the	the	DET
fcis-15749	40	8	globally	globally	ADV
fcis-15749	40	9	optimal	optimal	ADJ
fcis-15749	40	10	weight	weight	NOUN
fcis-15749	40	11	set	set	NOUN
fcis-15749	40	12	for	for	ADP
fcis-15749	40	13	cenns	cenn	NOUN
fcis-15749	40	14	.	.	PUNCT
fcis-15749	41	1	2.2.1	2.2.1	NUM
fcis-15749	41	2	.	.	PUNCT
fcis-15749	42	1	the	the	DET
fcis-15749	42	2	ga	ga	PROPN
fcis-15749	42	3	for	for	ADP
fcis-15749	42	4	cellular	cellular	ADJ
fcis-15749	42	5	neural	neural	ADJ
fcis-15749	42	6	networks	network	NOUN
fcis-15749	42	7	the	the	DET
fcis-15749	42	8	genetic	genetic	ADJ
fcis-15749	42	9	algorithm	algorithm	NOUN
fcis-15749	42	10	is	be	AUX
fcis-15749	42	11	a	a	DET
fcis-15749	42	12	prominent	prominent	ADJ
fcis-15749	42	13	method	method	NOUN
fcis-15749	42	14	in	in	ADP
fcis-15749	42	15	evolutionary	evolutionary	ADJ
fcis-15749	42	16	computing	computing	NOUN
fcis-15749	42	17	extensively	extensively	ADV
fcis-15749	42	18	used	use	VERB
fcis-15749	42	19	for	for	ADP
fcis-15749	42	20	addressing	address	VERB
fcis-15749	42	21	optimization	optimization	NOUN
fcis-15749	42	22	challenges	challenge	NOUN
fcis-15749	42	23	,	,	PUNCT
fcis-15749	42	24	particularly	particularly	ADV
fcis-15749	42	25	notable	notable	ADJ
fcis-15749	42	26	for	for	ADP
fcis-15749	42	27	its	its	PRON
fcis-15749	42	28	application	application	NOUN
fcis-15749	42	29	in	in	ADP
fcis-15749	42	30	the	the	DET
fcis-15749	42	31	field	field	NOUN
fcis-15749	42	32	of	of	ADP
fcis-15749	42	33	neural	neural	ADJ
fcis-15749	42	34	networks	network	NOUN
fcis-15749	42	35	[	[	X
fcis-15749	42	36	10	10	NUM
fcis-15749	42	37	]	]	PUNCT
fcis-15749	42	38	,	,	PUNCT
fcis-15749	42	39	[	[	X
fcis-15749	42	40	11	11	NUM
fcis-15749	42	41	]	]	PUNCT
fcis-15749	42	42	,	,	PUNCT
fcis-15749	42	43	[	[	X
fcis-15749	42	44	12	12	NUM
fcis-15749	42	45	]	]	PUNCT
fcis-15749	42	46	.	.	PUNCT
fcis-15749	43	1	this	this	DET
fcis-15749	43	2	article	article	NOUN
fcis-15749	43	3	presents	present	VERB
fcis-15749	43	4	the	the	DET
fcis-15749	43	5	application	application	NOUN
fcis-15749	43	6	of	of	ADP
fcis-15749	43	7	genetic	genetic	ADJ
fcis-15749	43	8	algorithms	algorithm	NOUN
fcis-15749	43	9	within	within	ADP
fcis-15749	43	10	the	the	DET
fcis-15749	43	11	framework	framework	NOUN
fcis-15749	43	12	of	of	ADP
fcis-15749	43	13	cellular	cellular	ADJ
fcis-15749	43	14	neural	neural	ADJ
fcis-15749	43	15	networks	network	NOUN
fcis-15749	43	16	.	.	PUNCT
fcis-15749	44	1	the	the	DET
fcis-15749	44	2	algorithm	algorithm	NOUN
fcis-15749	44	3	is	be	AUX
fcis-15749	44	4	employed	employ	VERB
fcis-15749	44	5	to	to	PART
fcis-15749	44	6	calculate	calculate	VERB
fcis-15749	44	7	the	the	DET
fcis-15749	44	8	initial	initial	ADJ
fcis-15749	44	9	set	set	NOUN
fcis-15749	44	10	of	of	ADP
fcis-15749	44	11	weights	weight	NOUN
fcis-15749	44	12	,	,	PUNCT
fcis-15749	44	13	including	include	VERB
fcis-15749	44	14	a1	a1	NOUN
fcis-15749	44	15	,	,	PUNCT
fcis-15749	44	16	b1	b1	NOUN
fcis-15749	44	17	and	and	CCONJ
fcis-15749	44	18	i	i	PRON
fcis-15749	44	19	that	that	PRON
fcis-15749	44	20	is	be	AUX
fcis-15749	44	21	the	the	DET
fcis-15749	44	22	input	input	NOUN
fcis-15749	44	23	for	for	ADP
fcis-15749	44	24	the	the	DET
fcis-15749	44	25	next	next	ADJ
fcis-15749	44	26	learning	learning	NOUN
fcis-15749	44	27	phase	phase	NOUN
fcis-15749	44	28	.	.	PUNCT
fcis-15749	45	1	in	in	ADP
fcis-15749	45	2	the	the	DET
fcis-15749	45	3	content	content	NOUN
fcis-15749	45	4	of	of	ADP
fcis-15749	45	5	the	the	DET
fcis-15749	45	6	article	article	NOUN
fcis-15749	45	7	,	,	PUNCT
fcis-15749	45	8	we	we	PRON
fcis-15749	45	9	want	want	VERB
fcis-15749	45	10	to	to	PART
fcis-15749	45	11	use	use	VERB
fcis-15749	45	12	a	a	DET
fcis-15749	45	13	cellular	cellular	ADJ
fcis-15749	45	14	neural	neural	ADJ
fcis-15749	45	15	network	network	NOUN
fcis-15749	45	16	for	for	ADP
fcis-15749	45	17	the	the	DET
fcis-15749	45	18	problem	problem	NOUN
fcis-15749	45	19	of	of	ADP
fcis-15749	45	20	determining	determine	VERB
fcis-15749	45	21	object	object	NOUN
fcis-15749	45	22	image	image	NOUN
fcis-15749	45	23	boundaries	boundary	NOUN
fcis-15749	45	24	.	.	PUNCT
fcis-15749	46	1	therefore	therefore	ADV
fcis-15749	46	2	,	,	PUNCT
fcis-15749	46	3	besides	besides	SCONJ
fcis-15749	46	4	being	be	AUX
fcis-15749	46	5	based	base	VERB
fcis-15749	46	6	on	on	ADP
fcis-15749	46	7	the	the	DET
fcis-15749	46	8	input	input	NOUN
fcis-15749	46	9	learning	learn	VERB
fcis-15749	46	10	sample	sample	NOUN
fcis-15749	46	11	set	set	NOUN
fcis-15749	46	12	,	,	PUNCT
fcis-15749	46	13	we	we	PRON
fcis-15749	46	14	need	need	VERB
fcis-15749	46	15	to	to	PART
fcis-15749	46	16	choose	choose	VERB
fcis-15749	46	17	appropriate	appropriate	ADJ
fcis-15749	46	18	parameters	parameter	NOUN
fcis-15749	46	19	of	of	ADP
fcis-15749	46	20	the	the	DET
fcis-15749	46	21	ga	ga	PROPN
fcis-15749	46	22	for	for	ADP
fcis-15749	46	23	the	the	DET
fcis-15749	46	24	cellular	cellular	ADJ
fcis-15749	46	25	neural	neural	ADJ
fcis-15749	46	26	network	network	NOUN
fcis-15749	46	27	including	include	VERB
fcis-15749	46	28	the	the	DET
fcis-15749	46	29	following	following	NOUN
fcis-15749	46	30	:	:	PUNCT
fcis-15749	46	31	gene	gene	NOUN
fcis-15749	46	32	:	:	PUNCT
fcis-15749	46	33	a	a	DET
fcis-15749	46	34	base-10	base-10	ADJ
fcis-15749	46	35	gene	gene	NOUN
fcis-15749	46	36	,	,	PUNCT
fcis-15749	46	37	representing	represent	VERB
fcis-15749	46	38	the	the	DET
fcis-15749	46	39	digits	digit	NOUN
fcis-15749	46	40	in	in	ADP
fcis-15749	46	41	each	each	DET
fcis-15749	46	42	chromosome	chromosome	NOUN
fcis-15749	46	43	,	,	PUNCT
fcis-15749	46	44	is	be	AUX
fcis-15749	46	45	chosen	choose	VERB
fcis-15749	46	46	for	for	ADP
fcis-15749	46	47	our	our	PRON
fcis-15749	46	48	selection	selection	NOUN
fcis-15749	46	49	process	process	NOUN
fcis-15749	46	50	.	.	PUNCT
fcis-15749	47	1	given	give	VERB
fcis-15749	47	2	that	that	SCONJ
fcis-15749	47	3	the	the	DET
fcis-15749	47	4	computation	computation	NOUN
fcis-15749	47	5	of	of	ADP
fcis-15749	47	6	cellular	cellular	ADJ
fcis-15749	47	7	neural	neural	ADJ
fcis-15749	47	8	networks	network	NOUN
fcis-15749	47	9	(	(	PUNCT
fcis-15749	47	10	cenns	cenns	ADJ
fcis-15749	47	11	)	)	PUNCT
fcis-15749	47	12	involves	involve	VERB
fcis-15749	47	13	a	a	DET
fcis-15749	47	14	continuous	continuous	ADJ
fcis-15749	47	15	optimization	optimization	NOUN
fcis-15749	47	16	process	process	NOUN
fcis-15749	47	17	,	,	PUNCT
fcis-15749	47	18	the	the	DET
fcis-15749	47	19	adoption	adoption	NOUN
fcis-15749	47	20	of	of	ADP
fcis-15749	47	21	the	the	DET
fcis-15749	47	22	base-10	base-10	ADJ
fcis-15749	47	23	gene	gene	NOUN
fcis-15749	47	24	is	be	AUX
fcis-15749	47	25	particularly	particularly	ADV
fcis-15749	47	26	fitting	fitting	ADJ
fcis-15749	47	27	.	.	PUNCT
fcis-15749	48	1	the	the	DET
fcis-15749	48	2	utilization	utilization	NOUN
fcis-15749	48	3	of	of	ADP
fcis-15749	48	4	these	these	DET
fcis-15749	48	5	decadal	decadal	NOUN
fcis-15749	48	6	genes	gene	NOUN
fcis-15749	48	7	has	have	VERB
fcis-15749	48	8	the	the	DET
fcis-15749	48	9	capacity	capacity	NOUN
fcis-15749	48	10	to	to	PART
fcis-15749	48	11	enhance	enhance	VERB
fcis-15749	48	12	diversity	diversity	NOUN
fcis-15749	48	13	within	within	ADP
fcis-15749	48	14	the	the	DET
fcis-15749	48	15	population	population	NOUN
fcis-15749	48	16	,	,	PUNCT
fcis-15749	48	17	contributing	contribute	VERB
fcis-15749	48	18	to	to	ADP
fcis-15749	48	19	a	a	DET
fcis-15749	48	20	more	more	ADV
fcis-15749	48	21	comprehensive	comprehensive	ADJ
fcis-15749	48	22	exploration	exploration	NOUN
fcis-15749	48	23	of	of	ADP
fcis-15749	48	24	the	the	DET
fcis-15749	48	25	solution	solution	NOUN
fcis-15749	48	26	space	space	NOUN
fcis-15749	48	27	.	.	PUNCT
fcis-15749	49	1	chromosomes	chromosome	NOUN
fcis-15749	49	2	:	:	PUNCT
fcis-15749	49	3	includes	include	VERB
fcis-15749	49	4	all	all	DET
fcis-15749	49	5	operands	operand	NOUN
fcis-15749	49	6	in	in	ADP
fcis-15749	49	7	the	the	DET
fcis-15749	49	8	set	set	NOUN
fcis-15749	49	9	of	of	ADP
fcis-15749	49	10	weight	weight	NOUN
fcis-15749	49	11	matrices	matrix	NOUN
fcis-15749	49	12	a1	a1	NOUN
fcis-15749	49	13	,	,	PUNCT
fcis-15749	49	14	b1	b1	NOUN
fcis-15749	49	15	,	,	PUNCT
fcis-15749	49	16	i.	i.	PROPN
fcis-15749	49	17	however	however	ADV
fcis-15749	49	18	,	,	PUNCT
fcis-15749	49	19	according	accord	VERB
fcis-15749	49	20	to	to	ADP
fcis-15749	49	21	the	the	DET
fcis-15749	49	22	condition	condition	NOUN
fcis-15749	49	23	in	in	ADP
fcis-15749	49	24	equation	equation	NOUN
fcis-15749	49	25	(	(	PUNCT
fcis-15749	49	26	3	3	NUM
fcis-15749	49	27	)	)	PUNCT
fcis-15749	49	28	,	,	PUNCT
fcis-15749	49	29	the	the	DET
fcis-15749	49	30	matrix	matrix	NOUN
fcis-15749	49	31	a1	a1	NOUN
fcis-15749	49	32	is	be	AUX
fcis-15749	49	33	symmetric	symmetric	ADJ
fcis-15749	49	34	,	,	PUNCT
fcis-15749	49	35	so	so	ADV
fcis-15749	49	36	only	only	ADV
fcis-15749	49	37	five	five	NUM
fcis-15749	49	38	values	value	NOUN
fcis-15749	49	39	(	(	PUNCT
fcis-15749	49	40	chromosomes	chromosome	NOUN
fcis-15749	49	41	)	)	PUNCT
fcis-15749	49	42	need	need	VERB
fcis-15749	49	43	to	to	PART
fcis-15749	49	44	be	be	AUX
fcis-15749	49	45	determined	determine	VERB
fcis-15749	49	46	.	.	PUNCT
fcis-15749	50	1	meanwhile	meanwhile	ADV
fcis-15749	50	2	,	,	PUNCT
fcis-15749	50	3	we	we	PRON
fcis-15749	50	4	consider	consider	VERB
fcis-15749	50	5	matrix	matrix	NOUN
fcis-15749	50	6	b1	b1	NOUN
fcis-15749	50	7	to	to	PART
fcis-15749	50	8	be	be	AUX
fcis-15749	50	9	symmetrical	symmetrical	ADJ
fcis-15749	50	10	similar	similar	ADJ
fcis-15749	50	11	to	to	ADP
fcis-15749	50	12	a1	a1	VERB
fcis-15749	50	13	for	for	ADP
fcis-15749	50	14	ease	ease	NOUN
fcis-15749	50	15	of	of	ADP
fcis-15749	50	16	calculation	calculation	NOUN
fcis-15749	50	17	,	,	PUNCT
fcis-15749	50	18	so	so	SCONJ
fcis-15749	50	19	we	we	PRON
fcis-15749	50	20	only	only	ADV
fcis-15749	50	21	need	need	VERB
fcis-15749	50	22	to	to	PART
fcis-15749	50	23	determine	determine	VERB
fcis-15749	50	24	five	five	NUM
fcis-15749	50	25	weights	weight	NOUN
fcis-15749	50	26	(	(	PUNCT
fcis-15749	50	27	chromosomes	chromosome	NOUN
fcis-15749	50	28	)	)	PUNCT
fcis-15749	50	29	and	and	CCONJ
fcis-15749	50	30	one	one	NUM
fcis-15749	50	31	chromosome	chromosome	NOUN
fcis-15749	50	32	of	of	ADP
fcis-15749	50	33	i.	i.	NOUN
fcis-15749	50	34	thus	thus	ADV
fcis-15749	50	35	,	,	PUNCT
fcis-15749	50	36	there	there	PRON
fcis-15749	50	37	are	be	VERB
fcis-15749	50	38	a	a	DET
fcis-15749	50	39	total	total	NOUN
fcis-15749	50	40	of	of	ADP
fcis-15749	50	41	11	11	NUM
fcis-15749	50	42	chromosomes	chromosome	NOUN
fcis-15749	50	43	that	that	PRON
fcis-15749	50	44	need	need	VERB
fcis-15749	50	45	to	to	PART
fcis-15749	50	46	be	be	AUX
fcis-15749	50	47	symmetrically	symmetrically	ADV
fcis-15749	50	48	determined	determine	VERB
fcis-15749	50	49	with	with	ADP
fcis-15749	50	50	cellular	cellular	ADJ
fcis-15749	50	51	neural	neural	ADJ
fcis-15749	50	52	networks	network	NOUN
fcis-15749	50	53	.	.	PUNCT
fcis-15749	51	1	here	here	ADV
fcis-15749	51	2	,	,	PUNCT
fcis-15749	51	3	we	we	PRON
fcis-15749	51	4	use	use	VERB
fcis-15749	51	5	the	the	DET
fcis-15749	51	6	limit	limit	NOUN
fcis-15749	51	7	value	value	NOUN
fcis-15749	51	8	of	of	ADP
fcis-15749	51	9	chromosomes	chromosome	NOUN
fcis-15749	51	10	from	from	ADP
fcis-15749	51	11	:	:	PUNCT
fcis-15749	51	12	-99.99	-99.99	PROPN
fcis-15749	51	13	to	to	ADP
fcis-15749	51	14	+99.99	+99.99	ADJ
fcis-15749	51	15	population	population	NOUN
fcis-15749	51	16	:	:	PUNCT
fcis-15749	51	17	includes	include	VERB
fcis-15749	51	18	11	11	NUM
fcis-15749	51	19	parent	parent	NOUN
fcis-15749	51	20	populations	population	NOUN
fcis-15749	51	21	corresponding	correspond	VERB
fcis-15749	51	22	to	to	ADP
fcis-15749	51	23	11	11	NUM
fcis-15749	51	24	chromosomes	chromosome	NOUN
fcis-15749	51	25	whose	whose	DET
fcis-15749	51	26	weights	weight	NOUN
fcis-15749	51	27	need	need	VERB
fcis-15749	51	28	to	to	PART
fcis-15749	51	29	be	be	AUX
fcis-15749	51	30	determined	determine	VERB
fcis-15749	51	31	.	.	PUNCT
fcis-15749	52	1	in	in	ADP
fcis-15749	52	2	particular	particular	ADJ
fcis-15749	52	3	,	,	PUNCT
fcis-15749	52	4	each	each	DET
fcis-15749	52	5	parental	parental	ADJ
fcis-15749	52	6	population	population	NOUN
fcis-15749	52	7	includes	include	VERB
fcis-15749	52	8	5	5	NUM
fcis-15749	52	9	father	father	NOUN
fcis-15749	52	10	individuals	individual	NOUN
fcis-15749	52	11	and	and	CCONJ
fcis-15749	52	12	5	5	NUM
fcis-15749	52	13	mother	mother	NOUN
fcis-15749	52	14	individuals	individual	NOUN
fcis-15749	52	15	to	to	PART
fcis-15749	52	16	serve	serve	VERB
fcis-15749	52	17	the	the	DET
fcis-15749	52	18	crossover	crossover	NOUN
fcis-15749	52	19	process	process	NOUN
fcis-15749	52	20	.	.	PUNCT
fcis-15749	53	1	fitness	fitness	NOUN
fcis-15749	53	2	function	function	NOUN
fcis-15749	53	3	:	:	PUNCT
fcis-15749	53	4	we	we	PRON
fcis-15749	53	5	use	use	VERB
fcis-15749	53	6	the	the	DET
fcis-15749	53	7	fitting	fitting	ADJ
fcis-15749	53	8	function	function	NOUN
fcis-15749	53	9	which	which	PRON
fcis-15749	53	10	is	be	AUX
fcis-15749	53	11	the	the	DET
fcis-15749	53	12	least	least	ADV
fcis-15749	53	13	squared	square	VERB
fcis-15749	53	14	error	error	NOUN
fcis-15749	53	15	function	function	NOUN
fcis-15749	53	16	.	.	PUNCT
fcis-15749	54	1	because	because	SCONJ
fcis-15749	54	2	the	the	DET
fcis-15749	54	3	purpose	purpose	NOUN
fcis-15749	54	4	of	of	ADP
fcis-15749	54	5	the	the	DET
fcis-15749	54	6	learning	learning	NOUN
fcis-15749	54	7	process	process	NOUN
fcis-15749	54	8	is	be	AUX
fcis-15749	54	9	to	to	PART
fcis-15749	54	10	determine	determine	VERB
fcis-15749	54	11	the	the	DET
fcis-15749	54	12	object	object	NOUN
fcis-15749	54	13	boundary	boundary	ADV
fcis-15749	54	14	in	in	ADP
fcis-15749	54	15	the	the	DET
fcis-15749	54	16	image	image	NOUN
fcis-15749	54	17	,	,	PUNCT
fcis-15749	54	18	when	when	SCONJ
fcis-15749	54	19	the	the	DET
fcis-15749	54	20	sum	sum	NOUN
fcis-15749	54	21	of	of	ADP
fcis-15749	54	22	squared	square	VERB
fcis-15749	54	23	differences	difference	NOUN
fcis-15749	54	24	between	between	ADP
fcis-15749	54	25	the	the	DET
fcis-15749	54	26	desired	desire	VERB
fcis-15749	54	27	output	output	NOUN
fcis-15749	54	28	image	image	NOUN
fcis-15749	54	29	and	and	CCONJ
fcis-15749	54	30	the	the	DET
fcis-15749	54	31	calculated	calculate	VERB
fcis-15749	54	32	output	output	NOUN
fcis-15749	54	33	is	be	AUX
fcis-15749	54	34	less	less	ADJ
fcis-15749	54	35	than	than	ADP
fcis-15749	54	36	an	an	DET
fcis-15749	54	37	emin	emin	NOUN
fcis-15749	54	38	value	value	NOUN
fcis-15749	54	39	,	,	PUNCT
fcis-15749	54	40	the	the	DET
fcis-15749	54	41	learning	learning	NOUN
fcis-15749	54	42	process	process	NOUN
fcis-15749	54	43	ends	end	VERB
fcis-15749	54	44	.	.	PUNCT
fcis-15749	55	1	determine	determine	VERB
fcis-15749	55	2	the	the	DET
fcis-15749	55	3	state	state	NOUN
fcis-15749	55	4	value	value	NOUN
fcis-15749	55	5	,	,	PUNCT
fcis-15749	55	6	input	input	NOUN
fcis-15749	55	7	and	and	CCONJ
fcis-15749	55	8	output	output	NOUN
fcis-15749	55	9	of	of	ADP
fcis-15749	55	10	cenns	cenn	NOUN
fcis-15749	55	11	.	.	PUNCT
fcis-15749	56	1	the	the	DET
fcis-15749	56	2	gacenns	gacenns	ADJ
fcis-15749	56	3	algorithm	algorithm	NOUN
fcis-15749	56	4	is	be	AUX
fcis-15749	56	5	presented	present	VERB
fcis-15749	56	6	specifically	specifically	ADV
fcis-15749	56	7	as	as	SCONJ
fcis-15749	56	8	follows	follow	VERB
fcis-15749	56	9	:	:	PUNCT
fcis-15749	56	10	input	input	NOUN
fcis-15749	56	11	:	:	PUNCT
fcis-15749	56	12	i	i	NOUN
fcis-15749	56	13	)	)	PUNCT
fcis-15749	56	14	the	the	DET
fcis-15749	56	15	cellular	cellular	ADJ
fcis-15749	56	16	neural	neural	ADJ
fcis-15749	56	17	network	network	NOUN
fcis-15749	56	18	structure	structure	NOUN
fcis-15749	56	19	satisfies	satisfy	VERB
fcis-15749	56	20	expressions	expression	NOUN
fcis-15749	56	21	(	(	PUNCT
fcis-15749	56	22	1	1	NUM
fcis-15749	56	23	)	)	PUNCT
fcis-15749	56	24	to	to	ADP
fcis-15749	56	25	(	(	PUNCT
fcis-15749	56	26	4	4	NUM
fcis-15749	56	27	)	)	PUNCT
fcis-15749	56	28	ii	ii	NOUN
fcis-15749	56	29	)	)	PUNCT
fcis-15749	56	30	deviation	deviation	NOUN
fcis-15749	56	31	value	value	NOUN
fcis-15749	56	32	1mine	1mine	NUM
fcis-15749	56	33	for	for	ADP
fcis-15749	56	34	genetic	genetic	ADJ
fcis-15749	56	35	algorithm	algorithm	NOUN
fcis-15749	56	36	iii	iii	NOUN
fcis-15749	56	37	)	)	PUNCT
fcis-15749	56	38	choose	choose	VERB
fcis-15749	56	39	the	the	DET
fcis-15749	56	40	initial	initial	ADJ
fcis-15749	56	41	set	set	NOUN
fcis-15749	56	42	of	of	ADP
fcis-15749	56	43	weights	weight	NOUN
fcis-15749	56	44	matrices	matrix	NOUN
fcis-15749	56	45	:	:	PUNCT
fcis-15749	56	46	iv	iv	X
fcis-15749	56	47	)	)	PUNCT
fcis-15749	56	48	select	select	VERB
fcis-15749	56	49	11	11	NUM
fcis-15749	56	50	initial	initial	ADJ
fcis-15749	56	51	parent	parent	NOUN
fcis-15749	56	52	populations	population	NOUN
fcis-15749	56	53	,	,	PUNCT
fcis-15749	56	54	with	with	ADP
fcis-15749	56	55	base	base	NOUN
fcis-15749	56	56	10	10	NUM
fcis-15749	56	57	genes	gene	NOUN
fcis-15749	56	58	,	,	PUNCT
fcis-15749	56	59	each	each	DET
fcis-15749	56	60	parent	parent	NOUN
fcis-15749	56	61	individual	individual	NOUN
fcis-15749	56	62	has	have	VERB
fcis-15749	56	63	5	5	NUM
fcis-15749	56	64	genes	gene	NOUN
fcis-15749	56	65	(	(	PUNCT
fcis-15749	56	66	including	include	VERB
fcis-15749	56	67	markers	marker	NOUN
fcis-15749	56	68	)	)	PUNCT
fcis-15749	56	69	v	v	NOUN
fcis-15749	56	70	)	)	PUNCT
fcis-15749	56	71	choose	choose	VERB
fcis-15749	56	72	the	the	DET
fcis-15749	56	73	rate	rate	NOUN
fcis-15749	56	74	of	of	ADP
fcis-15749	56	75	hybridization	hybridization	NOUN
fcis-15749	56	76	and	and	CCONJ
fcis-15749	56	77	mutation	mutation	NOUN
fcis-15749	56	78	output	output	NOUN
fcis-15749	56	79	:	:	PUNCT
fcis-15749	56	80	weight	weight	NOUN
fcis-15749	56	81	set	set	NOUN
fcis-15749	56	82	of	of	ADP
fcis-15749	56	83	cenns	cenns	ADJ
fcis-15749	56	84	step	step	NOUN
fcis-15749	56	85	1	1	NUM
fcis-15749	56	86	:	:	PUNCT
fcis-15749	56	87	initialize	initialize	VERB
fcis-15749	56	88	initialize	initialize	VERB
fcis-15749	56	89	the	the	DET
fcis-15749	56	90	initial	initial	ADJ
fcis-15749	56	91	conditions	condition	NOUN
fcis-15749	56	92	of	of	ADP
fcis-15749	56	93	the	the	DET
fcis-15749	56	94	algorithm	algorithm	NOUN
fcis-15749	56	95	according	accord	VERB
fcis-15749	56	96	to	to	ADP
fcis-15749	56	97	the	the	DET
fcis-15749	56	98	data	datum	NOUN
fcis-15749	56	99	provided	provide	VERB
fcis-15749	56	100	in	in	ADP
fcis-15749	56	101	input	input	NOUN
fcis-15749	56	102	.	.	PUNCT
fcis-15749	57	1	step	step	NOUN
fcis-15749	57	2	2	2	NUM
fcis-15749	57	3	:	:	PUNCT
fcis-15749	57	4	evaluate	evaluate	VERB
fcis-15749	57	5	the	the	DET
fcis-15749	57	6	fitness	fitness	NOUN
fcis-15749	57	7	function	function	NOUN
fcis-15749	57	8	:	:	PUNCT
fcis-15749	57	9	→	→	PUNCT
fcis-15749	57	10	(	(	PUNCT
fcis-15749	57	11	5	5	X
fcis-15749	57	12	)	)	PUNCT
fcis-15749	57	13	step	step	NOUN
fcis-15749	57	14	2.1	2.1	NUM
fcis-15749	57	15	:	:	PUNCT
fcis-15749	57	16	if	if	SCONJ
fcis-15749	57	17	then	then	ADV
fcis-15749	57	18	go	go	VERB
fcis-15749	57	19	to	to	PART
fcis-15749	57	20	step	step	VERB
fcis-15749	57	21	3	3	NUM
fcis-15749	57	22	;	;	PUNCT
fcis-15749	57	23	step	step	NOUN
fcis-15749	57	24	2.2	2.2	NUM
fcis-15749	57	25	:	:	PUNCT
fcis-15749	57	26	if	if	SCONJ
fcis-15749	57	27	the	the	DET
fcis-15749	57	28	weight	weight	NOUN
fcis-15749	57	29	value	value	NOUN
fcis-15749	57	30	satisfies	satisfy	VERB
fcis-15749	57	31	the	the	DET
fcis-15749	57	32	problem	problem	NOUN
fcis-15749	57	33	.	.	PUNCT
fcis-15749	58	1	go	go	VERB
fcis-15749	58	2	to	to	PART
fcis-15749	58	3	step	step	VERB
fcis-15749	58	4	6	6	NUM
fcis-15749	58	5	;	;	PUNCT
fcis-15749	58	6	step	step	NOUN
fcis-15749	58	7	3	3	NUM
fcis-15749	58	8	:	:	PUNCT
fcis-15749	58	9	calculate	calculate	VERB
fcis-15749	58	10	the	the	DET
fcis-15749	58	11	state	state	NOUN
fcis-15749	58	12	value	value	NOUN
fcis-15749	58	13	,	,	PUNCT
fcis-15749	58	14	the	the	DET
fcis-15749	58	15	calculation	calculation	NOUN
fcis-15749	58	16	output	output	NOUN
fcis-15749	58	17	of	of	ADP
fcis-15749	58	18	cenns	cenn	NOUN
fcis-15749	58	19	.	.	PUNCT
fcis-15749	59	1	step	step	NOUN
fcis-15749	59	2	4	4	NUM
fcis-15749	59	3	:	:	PUNCT
fcis-15749	59	4	crossover	crossover	NOUN
fcis-15749	59	5	perform	perform	VERB
fcis-15749	59	6	a	a	DET
fcis-15749	59	7	crossover	crossover	NOUN
fcis-15749	59	8	of	of	ADP
fcis-15749	59	9	each	each	DET
fcis-15749	59	10	parent	parent	NOUN
fcis-15749	59	11	population	population	NOUN
fcis-15749	59	12	for	for	ADP
fcis-15749	59	13	each	each	DET
fcis-15749	59	14	weight	weight	NOUN
fcis-15749	59	15	of	of	ADP
fcis-15749	59	16	cenns	cenn	NOUN
fcis-15749	59	17	,	,	PUNCT
fcis-15749	59	18	select	select	VERB
fcis-15749	59	19	the	the	DET
fcis-15749	59	20	optimal	optimal	ADJ
fcis-15749	59	21	chromosome	chromosome	NOUN
fcis-15749	59	22	in	in	ADP
fcis-15749	59	23	the	the	DET
fcis-15749	59	24	new	new	ADJ
fcis-15749	59	25	chromosome	chromosome	NOUN
fcis-15749	59	26	population	population	NOUN
fcis-15749	59	27	generated	generate	VERB
fcis-15749	59	28	during	during	ADP
fcis-15749	59	29	the	the	DET
fcis-15749	59	30	breeding	breeding	NOUN
fcis-15749	59	31	process	process	NOUN
fcis-15749	59	32	by	by	ADP
fcis-15749	59	33	how	how	SCONJ
fcis-15749	59	34	to	to	PART
fcis-15749	59	35	calculate	calculate	VERB
fcis-15749	59	36	the	the	DET
fcis-15749	59	37	fitness	fitness	NOUN
fcis-15749	59	38	function	function	NOUN
fcis-15749	59	39	value	value	NOUN
fcis-15749	59	40	generated	generate	VERB
fcis-15749	59	41	by	by	ADP
fcis-15749	59	42	each	each	DET
fcis-15749	59	43	new	new	ADJ
fcis-15749	59	44	chromosome	chromosome	NOUN
fcis-15749	59	45	.	.	PUNCT
fcis-15749	60	1	the	the	DET
fcis-15749	60	2	new	new	ADJ
fcis-15749	60	3	chromosome	chromosome	NOUN
fcis-15749	60	4	that	that	PRON
fcis-15749	60	5	creates	create	VERB
fcis-15749	60	6	the	the	DET
fcis-15749	60	7	smallest	small	ADJ
fcis-15749	60	8	fitness	fitness	NOUN
fcis-15749	60	9	function	function	NOUN
fcis-15749	60	10	will	will	AUX
fcis-15749	60	11	be	be	AUX
fcis-15749	60	12	selected	select	VERB
fcis-15749	60	13	to	to	PART
fcis-15749	60	14	replace	replace	VERB
fcis-15749	60	15	the	the	DET
fcis-15749	60	16	original	original	ADJ
fcis-15749	60	17	chromosome	chromosome	NOUN
fcis-15749	60	18	of	of	ADP
fcis-15749	60	19	cenns	cenns	NOUN
fcis-15749	60	20	.	.	PUNCT
fcis-15749	61	1	each	each	DET
fcis-15749	61	2	chromosome	chromosome	NOUN
fcis-15749	61	3	undergoes	undergo	VERB
fcis-15749	61	4	training	training	NOUN
fcis-15749	61	5	following	follow	VERB
fcis-15749	61	6	the	the	DET
fcis-15749	61	7	principle	principle	NOUN
fcis-15749	61	8	of	of	ADP
fcis-15749	61	9	left	left	ADJ
fcis-15749	61	10	-	-	PUNCT
fcis-15749	61	11	to	to	ADP
fcis-15749	61	12	-	-	PUNCT
fcis-15749	61	13	right	right	ADJ
fcis-15749	61	14	,	,	PUNCT
fcis-15749	61	15	top	top	ADJ
fcis-15749	61	16	-	-	PUNCT
fcis-15749	61	17	to	to	ADP
fcis-15749	61	18	-	-	PUNCT
fcis-15749	61	19	bottom	bottom	NOUN
fcis-15749	61	20	progression	progression	NOUN
fcis-15749	61	21	,	,	PUNCT
fcis-15749	61	22	in	in	ADP
fcis-15749	61	23	the	the	DET
fcis-15749	61	24	specified	specify	VERB
fcis-15749	61	25	order	order	NOUN
fcis-15749	61	26	from	from	ADP
fcis-15749	61	27	matrix	matrix	NOUN
fcis-15749	61	28	a1	a1	NOUN
fcis-15749	61	29	,	,	PUNCT
fcis-15749	61	30	b1	b1	NOUN
fcis-15749	61	31	,	,	PUNCT
fcis-15749	61	32	up	up	ADP
fcis-15749	61	33	to	to	ADP
fcis-15749	61	34	i.	i.	NOUN
fcis-15749	61	35	step	step	VERB
fcis-15749	61	36	4.1	4.1	NUM
fcis-15749	61	37	:	:	PUNCT
fcis-15749	61	38	when	when	SCONJ
fcis-15749	61	39	moving	move	VERB
fcis-15749	61	40	to	to	PART
fcis-15749	61	41	step	step	VERB
fcis-15749	61	42	6	6	NUM
fcis-15749	61	43	;	;	PUNCT
fcis-15749	61	44	step	step	VERB
fcis-15749	61	45	4.2	4.2	NUM
fcis-15749	61	46	:	:	PUNCT
fcis-15749	61	47	when	when	SCONJ
fcis-15749	61	48	moving	move	VERB
fcis-15749	61	49	to	to	PART
fcis-15749	61	50	step	step	VERB
fcis-15749	61	51	5	5	NUM
fcis-15749	61	52	;	;	PUNCT
fcis-15749	61	53	step	step	NOUN
fcis-15749	61	54	5	5	NUM
fcis-15749	61	55	:	:	PUNCT
fcis-15749	61	56	perform	perform	VERB
fcis-15749	61	57	mutation	mutation	NOUN
fcis-15749	61	58	for	for	ADP
fcis-15749	61	59	some	some	DET
fcis-15749	61	60	weights	weight	NOUN
fcis-15749	61	61	in	in	ADP
fcis-15749	61	62	the	the	DET
fcis-15749	61	63	network	network	NOUN
fcis-15749	61	64	.	.	PUNCT
fcis-15749	62	1	return	return	NOUN
fcis-15749	62	2	to	to	PART
fcis-15749	62	3	step	step	VERB
fcis-15749	62	4	2	2	NUM
fcis-15749	62	5	to	to	PART
fcis-15749	62	6	determine	determine	VERB
fcis-15749	62	7	the	the	DET
fcis-15749	62	8	weight	weight	NOUN
fcis-15749	62	9	matrix	matrix	NOUN
fcis-15749	62	10	for	for	ADP
fcis-15749	62	11	the	the	DET
fcis-15749	62	12	next	next	ADJ
fcis-15749	62	13	rounds	round	NOUN
fcis-15749	62	14	.	.	PUNCT
fcis-15749	63	1	step	step	NOUN
fcis-15749	63	2	6	6	NUM
fcis-15749	63	3	:	:	PUNCT
fcis-15749	63	4	stop	stop	VERB
fcis-15749	63	5	the	the	DET
fcis-15749	63	6	algorithm	algorithm	NOUN
fcis-15749	63	7	2.2.2	2.2.2	NUM
fcis-15749	63	8	.	.	PUNCT
fcis-15749	64	1	the	the	DET
fcis-15749	64	2	rpla	rpla	NOUN
fcis-15749	64	3	for	for	ADP
fcis-15749	64	4	cellular	cellular	ADJ
fcis-15749	64	5	neural	neural	ADJ
fcis-15749	64	6	networks	network	NOUN
fcis-15749	64	7	the	the	DET
fcis-15749	64	8	regression	regression	NOUN
fcis-15749	64	9	perceptron	perceptron	PROPN
fcis-15749	64	10	algorithm	algorithm	PROPN
fcis-15749	64	11	is	be	AUX
fcis-15749	64	12	used	use	VERB
fcis-15749	64	13	to	to	PART
fcis-15749	64	14	calculate	calculate	VERB
fcis-15749	64	15	the	the	DET
fcis-15749	64	16	weights	weight	NOUN
fcis-15749	64	17	of	of	ADP
fcis-15749	64	18	standard	standard	ADJ
fcis-15749	64	19	cenns	cenn	NOUN
fcis-15749	64	20	in	in	ADP
fcis-15749	64	21	steady	steady	ADJ
fcis-15749	64	22	state	state	NOUN
fcis-15749	64	23	[	[	X
fcis-15749	64	24	13	13	NUM
fcis-15749	64	25	]	]	PUNCT
fcis-15749	64	26	.	.	PUNCT
fcis-15749	65	1	in	in	ADP
fcis-15749	65	2	1994	1994	NUM
fcis-15749	65	3	,	,	PUNCT
fcis-15749	65	4	c.	c.	PROPN
fcis-15749	65	5	gukzelis	gukzelis	PROPN
fcis-15749	65	6	proposed	propose	VERB
fcis-15749	65	7	the	the	DET
fcis-15749	65	8	rpla	rpla	NOUN
fcis-15749	65	9	algorithm	algorithm	NOUN
fcis-15749	65	10	by	by	ADP
fcis-15749	65	11	combining	combine	VERB
fcis-15749	65	12	the	the	DET
fcis-15749	65	13	response	response	NOUN
fcis-15749	65	14	matrix	matrix	NOUN
fcis-15749	65	15	a1	a1	NOUN
fcis-15749	65	16	,	,	PUNCT
fcis-15749	65	17	input	input	NOUN
fcis-15749	65	18	matrix	matrix	NOUN
fcis-15749	65	19	b1	b1	NOUN
fcis-15749	65	20	,	,	PUNCT
fcis-15749	65	21	and	and	CCONJ
fcis-15749	65	22	threshold	threshold	NOUN
fcis-15749	65	23	matrix	matrix	NOUN
fcis-15749	65	24	i	i	PRON
fcis-15749	65	25	into	into	ADP
fcis-15749	65	26	weight	weight	NOUN
fcis-15749	65	27	matrix	matrix	NOUN
fcis-15749	65	28	w	w	PUNCT
fcis-15749	66	1	[	[	X
fcis-15749	66	2	14	14	NUM
fcis-15749	66	3	]	]	PUNCT
fcis-15749	66	4	.	.	PUNCT
fcis-15749	67	1	when	when	SCONJ
fcis-15749	67	2	standard	standard	ADJ
fcis-15749	67	3	cenns	cenns	NOUN
fcis-15749	67	4	reach	reach	VERB
fcis-15749	67	5	a	a	DET
fcis-15749	67	6	12	12	NUM
fcis-15749	67	7	stable	stable	ADJ
fcis-15749	67	8	state	state	NOUN
fcis-15749	67	9	then	then	ADV
fcis-15749	67	10	(	(	PUNCT
fcis-15749	67	11	1	1	X
fcis-15749	67	12	)	)	PUNCT
fcis-15749	67	13	has	have	VERB
fcis-15749	67	14	a	a	DET
fcis-15749	67	15	left	left	ADJ
fcis-15749	67	16	-	-	PUNCT
fcis-15749	67	17	hand	hand	NOUN
fcis-15749	67	18	side	side	NOUN
fcis-15749	67	19	equal	equal	ADJ
fcis-15749	67	20	to	to	ADP
fcis-15749	67	21	0	0	NUM
fcis-15749	67	22	.	.	PUNCT
fcis-15749	68	1	then	then	ADV
fcis-15749	68	2	,	,	PUNCT
fcis-15749	68	3	(	(	PUNCT
fcis-15749	68	4	1	1	X
fcis-15749	68	5	)	)	PUNCT
fcis-15749	68	6	can	can	AUX
fcis-15749	68	7	be	be	AUX
fcis-15749	68	8	rewritten	rewrite	VERB
fcis-15749	68	9	as	as	SCONJ
fcis-15749	68	10	follows	follow	VERB
fcis-15749	68	11	:	:	PUNCT
fcis-15749	68	12	∑	∑	PUNCT
fcis-15749	68	13	,	,	PUNCT
fcis-15749	68	14	;	;	PUNCT
fcis-15749	68	15	,	,	PUNCT
fcis-15749	68	16	,	,	PUNCT
fcis-15749	68	17	∈	∈	PROPN
fcis-15749	68	18	,	,	PUNCT
fcis-15749	68	19	∑	∑	ADV
fcis-15749	68	20	,	,	PUNCT
fcis-15749	68	21	;	;	PUNCT
fcis-15749	68	22	,	,	PUNCT
fcis-15749	68	23	,	,	PUNCT
fcis-15749	68	24	∈	∈	PROPN
fcis-15749	68	25	,	,	PUNCT
fcis-15749	68	26	(	(	PUNCT
fcis-15749	68	27	6	6	X
fcis-15749	68	28	)	)	PUNCT
fcis-15749	68	29	set	set	VERB
fcis-15749	68	30	w	w	NOUN
fcis-15749	68	31	matrix	matrix	NOUN
fcis-15749	68	32	:	:	PUNCT
fcis-15749	68	33	(	(	PUNCT
fcis-15749	68	34	7	7	X
fcis-15749	68	35	)	)	PUNCT
fcis-15749	68	36	and	and	CCONJ
fcis-15749	68	37	y	y	PROPN
fcis-15749	68	38	matrix	matrix	NOUN
fcis-15749	68	39	:	:	PUNCT
fcis-15749	68	40	ij	ij	NOUN
fcis-15749	68	41	u	u	NOUN
fcis-15749	68	42	1	1	NUM
fcis-15749	68	43	(	(	PUNCT
fcis-15749	68	44	8)	8)	NUM
fcis-15749	68	45	it	it	PRON
fcis-15749	68	46	is	be	AUX
fcis-15749	68	47	easy	easy	ADJ
fcis-15749	68	48	to	to	PART
fcis-15749	68	49	see	see	VERB
fcis-15749	68	50	that	that	SCONJ
fcis-15749	68	51	when	when	SCONJ
fcis-15749	68	52	considering	consider	VERB
fcis-15749	68	53	the	the	DET
fcis-15749	68	54	chosen	choose	VERB
fcis-15749	68	55	rx	rx	VERB
fcis-15749	68	56	as	as	ADP
fcis-15749	68	57	a	a	DET
fcis-15749	68	58	standard	standard	ADJ
fcis-15749	68	59	unit	unit	NOUN
fcis-15749	68	60	,	,	PUNCT
fcis-15749	68	61	equation	equation	NOUN
fcis-15749	68	62	(	(	PUNCT
fcis-15749	68	63	3	3	NUM
fcis-15749	68	64	)	)	PUNCT
fcis-15749	68	65	in	in	ADP
fcis-15749	68	66	steady	steady	ADJ
fcis-15749	68	67	state	state	NOUN
fcis-15749	68	68	is	be	AUX
fcis-15749	68	69	equivalent	equivalent	ADJ
fcis-15749	68	70	to	to	ADP
fcis-15749	68	71	the	the	DET
fcis-15749	68	72	feedforward	feedforward	PROPN
fcis-15749	68	73	perceptron	perceptron	PROPN
fcis-15749	68	74	network	network	PROPN
fcis-15749	68	75	:	:	PUNCT
fcis-15749	68	76	ij	ij	INTJ
fcis-15749	68	77	∞	∞	PROPN
fcis-15749	68	78	,	,	PUNCT
fcis-15749	68	79	∗	∗	NOUN
fcis-15749	68	80	=	=	PUNCT
fcis-15749	68	81	,	,	PUNCT
fcis-15749	68	82	,	,	PUNCT
fcis-15749	68	83	1	1	NUM
fcis-15749	68	84	∗	∗	NOUN
fcis-15749	68	85	(	(	PUNCT
fcis-15749	68	86	9	9	NUM
fcis-15749	68	87	)	)	PUNCT
fcis-15749	68	88	so	so	ADV
fcis-15749	68	89	from	from	ADP
fcis-15749	68	90	equation	equation	NOUN
fcis-15749	68	91	(	(	PUNCT
fcis-15749	68	92	)	)	PUNCT
fcis-15749	68	93	,	,	PUNCT
fcis-15749	68	94	the	the	DET
fcis-15749	68	95	recurrent	recurrent	ADJ
fcis-15749	68	96	cenns	cenns	ADJ
fcis-15749	68	97	structure	structure	NOUN
fcis-15749	68	98	has	have	AUX
fcis-15749	68	99	transformed	transform	VERB
fcis-15749	68	100	into	into	ADP
fcis-15749	68	101	a	a	DET
fcis-15749	68	102	1	1	NUM
fcis-15749	68	103	-	-	PUNCT
fcis-15749	68	104	layer	layer	NOUN
fcis-15749	68	105	feedforward	feedforward	NOUN
fcis-15749	68	106	network	network	NOUN
fcis-15749	68	107	.	.	PUNCT
fcis-15749	69	1	then	then	ADV
fcis-15749	69	2	the	the	DET
fcis-15749	69	3	network	network	NOUN
fcis-15749	69	4	's	's	PART
fcis-15749	69	5	learning	learning	NOUN
fcis-15749	69	6	rules	rule	NOUN
fcis-15749	69	7	will	will	AUX
fcis-15749	69	8	be	be	AUX
fcis-15749	69	9	used	use	VERB
fcis-15749	69	10	according	accord	VERB
fcis-15749	69	11	to	to	ADP
fcis-15749	69	12	the	the	DET
fcis-15749	69	13	trialand	trialand	NOUN
fcis-15749	69	14	-	-	PUNCT
fcis-15749	69	15	error	error	NOUN
fcis-15749	69	16	method	method	NOUN
fcis-15749	69	17	as	as	SCONJ
fcis-15749	69	18	follows	follow	VERB
fcis-15749	69	19	:	:	PUNCT
fcis-15749	69	20	1	1	NUM
fcis-15749	69	21	∗	∗	NOUN
fcis-15749	69	22	∞	∞	NUM
fcis-15749	69	23	(	(	PUNCT
fcis-15749	69	24	10	10	NUM
fcis-15749	69	25	)	)	PUNCT
fcis-15749	69	26	trong	trong	NOUN
fcis-15749	69	27	đó	đó	PROPN
fcis-15749	69	28	:	:	PUNCT
fcis-15749	69	29	:	:	PUNCT
fcis-15749	69	30	desired	desire	VERB
fcis-15749	69	31	output	output	NOUN
fcis-15749	69	32	signal	signal	VERB
fcis-15749	69	33	∞	∞	PROPN
fcis-15749	69	34	:	:	PUNCT
fcis-15749	69	35	actual	actual	ADJ
fcis-15749	69	36	output	output	NOUN
fcis-15749	69	37	signal	signal	NOUN
fcis-15749	69	38	at	at	ADP
fcis-15749	69	39	steady	steady	ADJ
fcis-15749	69	40	state	state	NOUN
fcis-15749	69	41	:	:	PUNCT
fcis-15749	69	42	learning	learn	VERB
fcis-15749	69	43	rate	rate	NOUN
fcis-15749	69	44	:	:	PUNCT
fcis-15749	69	45	the	the	DET
fcis-15749	69	46	input	input	NOUN
fcis-15749	69	47	to	to	ADP
fcis-15749	69	48	the	the	DET
fcis-15749	69	49	network	network	NOUN
fcis-15749	69	50	corresponds	correspond	VERB
fcis-15749	69	51	to	to	ADP
fcis-15749	69	52	each	each	DET
fcis-15749	69	53	cell	cell	NOUN
fcis-15749	69	54	location	location	NOUN
fcis-15749	69	55	the	the	DET
fcis-15749	69	56	sequence	sequence	NOUN
fcis-15749	69	57	of	of	ADP
fcis-15749	69	58	steps	step	NOUN
fcis-15749	69	59	of	of	ADP
fcis-15749	69	60	improved	improved	ADJ
fcis-15749	69	61	perceptron	perceptron	PROPN
fcis-15749	69	62	learning	learning	NOUN
fcis-15749	69	63	is	be	AUX
fcis-15749	69	64	as	as	SCONJ
fcis-15749	69	65	follows	follow	VERB
fcis-15749	69	66	:	:	PUNCT
fcis-15749	69	67	input	input	NOUN
fcis-15749	69	68	:	:	PUNCT
fcis-15749	69	69	given	give	VERB
fcis-15749	69	70	:	:	PUNCT
fcis-15749	69	71	1	1	X
fcis-15749	69	72	)	)	PUNCT
fcis-15749	69	73	set	set	NOUN
fcis-15749	69	74	of	of	ADP
fcis-15749	69	75	cenns	cenns	ADJ
fcis-15749	69	76	training	training	NOUN
fcis-15749	69	77	samples	sample	NOUN
fcis-15749	69	78	including	include	VERB
fcis-15749	69	79	ij	ij	NOUN
fcis-15749	69	80	,	,	PUNCT
fcis-15749	69	81	ij	ij	NOUN
fcis-15749	69	82	0	0	NUM
fcis-15749	69	83	,	,	PUNCT
fcis-15749	69	84	ij	ij	INTJ
fcis-15749	69	85	,	,	PUNCT
fcis-15749	69	86	2	2	X
fcis-15749	69	87	)	)	PUNCT
fcis-15749	69	88	learning	learn	VERB
fcis-15749	69	89	rate	rate	NOUN
fcis-15749	69	90	α	α	NOUN
fcis-15749	69	91	.	.	PROPN
fcis-15749	69	92	3	3	X
fcis-15749	69	93	)	)	PUNCT
fcis-15749	69	94	select	select	ADJ
fcis-15749	69	95	e2min	e2min	PROPN
fcis-15749	69	96	for	for	ADP
fcis-15749	69	97	rpla	rpla	NOUN
fcis-15749	69	98	4	4	NUM
fcis-15749	69	99	)	)	PUNCT
fcis-15749	69	100	use	use	VERB
fcis-15749	69	101	the	the	DET
fcis-15749	69	102	set	set	NOUN
fcis-15749	69	103	of	of	ADP
fcis-15749	69	104	weight	weight	NOUN
fcis-15749	69	105	matrices	matrix	NOUN
fcis-15749	69	106	calculated	calculate	VERB
fcis-15749	69	107	from	from	ADP
fcis-15749	69	108	ga	ga	PROPN
fcis-15749	69	109	.	.	PROPN
fcis-15749	69	110	output	output	PROPN
fcis-15749	69	111	:	:	PUNCT
fcis-15749	69	112	the	the	DET
fcis-15749	69	113	parameter	parameter	NOUN
fcis-15749	69	114	set	set	NOUN
fcis-15749	69	115	of	of	ADP
fcis-15749	69	116	cenns	cenns	ADJ
fcis-15749	69	117	step	step	NOUN
fcis-15749	69	118	1	1	NUM
fcis-15749	69	119	:	:	PUNCT
fcis-15749	69	120	use	use	VERB
fcis-15749	69	121	a	a	DET
fcis-15749	69	122	set	set	NOUN
fcis-15749	69	123	of	of	ADP
fcis-15749	69	124	weight	weight	NOUN
fcis-15749	69	125	matrices	matrix	NOUN
fcis-15749	69	126	calculated	calculate	VERB
fcis-15749	69	127	from	from	ADP
fcis-15749	69	128	the	the	DET
fcis-15749	69	129	results	result	NOUN
fcis-15749	69	130	of	of	ADP
fcis-15749	69	131	the	the	DET
fcis-15749	69	132	ga	ga	PROPN
fcis-15749	69	133	algorithm	algorithm	NOUN
fcis-15749	69	134	step	step	NOUN
fcis-15749	69	135	2	2	NUM
fcis-15749	69	136	:	:	PUNCT
fcis-15749	69	137	calculate	calculate	VERB
fcis-15749	69	138	the	the	DET
fcis-15749	69	139	total	total	ADJ
fcis-15749	69	140	difference	difference	NOUN
fcis-15749	69	141	between	between	ADP
fcis-15749	69	142	the	the	DET
fcis-15749	69	143	output	output	NOUN
fcis-15749	69	144	ij	ij	NOUN
fcis-15749	69	145	∞	∞	PROPN
fcis-15749	69	146	and	and	CCONJ
fcis-15749	69	147	the	the	DET
fcis-15749	69	148	known	know	VERB
fcis-15749	69	149	desired	desire	VERB
fcis-15749	69	150	pattern	pattern	NOUN
fcis-15749	69	151	ij	ij	NOUN
fcis-15749	69	152	1	1	NUM
fcis-15749	69	153	.	.	PUNCT
fcis-15749	70	1	if	if	SCONJ
fcis-15749	70	2	the	the	DET
fcis-15749	70	3	total	total	ADJ
fcis-15749	70	4	error	error	NOUN
fcis-15749	70	5	is	be	AUX
fcis-15749	70	6	less	less	ADJ
fcis-15749	70	7	than	than	ADP
fcis-15749	70	8	the	the	DET
fcis-15749	70	9	value	value	NOUN
fcis-15749	70	10	e2min	e2min	NOUN
fcis-15749	70	11	,	,	PUNCT
fcis-15749	70	12	go	go	VERB
fcis-15749	70	13	to	to	PART
fcis-15749	70	14	step	step	VERB
fcis-15749	70	15	6	6	NUM
fcis-15749	70	16	2	2	NUM
fcis-15749	70	17	.	.	PUNCT
fcis-15749	71	1	if	if	SCONJ
fcis-15749	71	2	the	the	DET
fcis-15749	71	3	total	total	ADJ
fcis-15749	71	4	error	error	NOUN
fcis-15749	71	5	is	be	AUX
fcis-15749	71	6	more	more	ADJ
fcis-15749	71	7	than	than	ADP
fcis-15749	71	8	the	the	DET
fcis-15749	71	9	value	value	NOUN
fcis-15749	71	10	e2min	e2min	NOUN
fcis-15749	71	11	,	,	PUNCT
fcis-15749	71	12	go	go	VERB
fcis-15749	71	13	to	to	PART
fcis-15749	71	14	step	step	VERB
fcis-15749	71	15	3	3	NUM
fcis-15749	71	16	step	step	NOUN
fcis-15749	71	17	3	3	NUM
fcis-15749	71	18	:	:	PUNCT
fcis-15749	71	19	update	update	VERB
fcis-15749	71	20	the	the	DET
fcis-15749	71	21	cenns	cenn	NOUN
fcis-15749	71	22	'	'	PART
fcis-15749	71	23	weight	weight	NOUN
fcis-15749	71	24	set	set	NOUN
fcis-15749	71	25	;	;	PUNCT
fcis-15749	71	26	step	step	NOUN
fcis-15749	71	27	4	4	NUM
fcis-15749	71	28	:	:	PUNCT
fcis-15749	71	29	calculate	calculate	VERB
fcis-15749	71	30	the	the	DET
fcis-15749	71	31	state	state	NOUN
fcis-15749	71	32	value	value	NOUN
fcis-15749	71	33	ij	ij	NOUN
fcis-15749	71	34	step	step	NOUN
fcis-15749	71	35	5	5	NUM
fcis-15749	71	36	:	:	PUNCT
fcis-15749	71	37	calculate	calculate	VERB
fcis-15749	71	38	the	the	DET
fcis-15749	71	39	output	output	NOUN
fcis-15749	71	40	of	of	ADP
fcis-15749	71	41	the	the	DET
fcis-15749	71	42	network	network	NOUN
fcis-15749	71	43	ij	ij	NOUN
fcis-15749	71	44	;	;	PUNCT
fcis-15749	71	45	return	return	VERB
fcis-15749	71	46	step	step	NOUN
fcis-15749	71	47	2	2	NUM
fcis-15749	71	48	step	step	NOUN
fcis-15749	71	49	6	6	NUM
fcis-15749	71	50	:	:	PUNCT
fcis-15749	71	51	finish	finish	NOUN
fcis-15749	71	52	.	.	PUNCT
fcis-15749	72	1	3	3	X
fcis-15749	72	2	.	.	X
fcis-15749	72	3	experiment	experiment	NOUN
fcis-15749	72	4	3.1	3.1	NUM
fcis-15749	72	5	.	.	PUNCT
fcis-15749	73	1	problem	problem	NOUN
fcis-15749	73	2	statement	statement	NOUN
fcis-15749	73	3	give	give	VERB
fcis-15749	73	4	:	:	PUNCT
fcis-15749	73	5	i	i	PROPN
fcis-15749	73	6	)	)	PUNCT
fcis-15749	73	7	the	the	DET
fcis-15749	73	8	structure	structure	NOUN
fcis-15749	73	9	of	of	ADP
fcis-15749	73	10	the	the	DET
fcis-15749	73	11	cenns	cenns	NOUN
fcis-15749	73	12	according	accord	VERB
fcis-15749	73	13	to	to	ADP
fcis-15749	73	14	the	the	DET
fcis-15749	73	15	equation	equation	NOUN
fcis-15749	73	16	(	(	PUNCT
fcis-15749	73	17	1	1	NUM
fcis-15749	73	18	)	)	PUNCT
fcis-15749	73	19	to	to	ADP
fcis-15749	73	20	(	(	PUNCT
fcis-15749	73	21	4	4	NUM
fcis-15749	73	22	)	)	PUNCT
fcis-15749	73	23	;	;	PUNCT
fcis-15749	73	24	ii	ii	X
fcis-15749	73	25	)	)	PUNCT
fcis-15749	73	26	the	the	DET
fcis-15749	73	27	network	network	NOUN
fcis-15749	73	28	training	training	NOUN
fcis-15749	73	29	templates	template	NOUN
fcis-15749	73	30	0	0	NUM
fcis-15749	73	31	,	,	PUNCT
fcis-15749	73	32	,	,	PUNCT
fcis-15749	73	33	with	with	ADP
fcis-15749	73	34	size	size	NOUN
fcis-15749	73	35	of	of	ADP
fcis-15749	73	36	8	8	NUM
fcis-15749	73	37	*	*	SYM
fcis-15749	73	38	8	8	NUM
fcis-15749	73	39	,	,	PUNCT
fcis-15749	73	40	03	03	NUM
fcis-15749	73	41	templates	template	NOUN
fcis-15749	73	42	for	for	ADP
fcis-15749	73	43	learning	learn	VERB
fcis-15749	73	44	algorithm	algorithm	NOUN
fcis-15749	73	45	follow	follow	NOUN
fcis-15749	73	46	figure	figure	NOUN
fcis-15749	73	47	2	2	NUM
fcis-15749	73	48	below	below	ADV
fcis-15749	73	49	.	.	PUNCT
fcis-15749	74	1	need	need	VERB
fcis-15749	74	2	to	to	PART
fcis-15749	74	3	detection	detection	VERB
fcis-15749	74	4	the	the	DET
fcis-15749	74	5	edge	edge	NOUN
fcis-15749	74	6	of	of	ADP
fcis-15749	74	7	image	image	NOUN
fcis-15749	74	8	.	.	PUNCT
fcis-15749	75	1	to	to	PART
fcis-15749	75	2	solve	solve	VERB
fcis-15749	75	3	the	the	DET
fcis-15749	75	4	problem	problem	NOUN
fcis-15749	75	5	,	,	PUNCT
fcis-15749	75	6	need	need	VERB
fcis-15749	75	7	to	to	PART
fcis-15749	75	8	perform	perform	VERB
fcis-15749	75	9	02	02	NUM
fcis-15749	75	10	phases	phase	NOUN
fcis-15749	75	11	:	:	PUNCT
fcis-15749	75	12	learning	learn	VERB
fcis-15749	75	13	phase	phase	NOUN
fcis-15749	75	14	and	and	CCONJ
fcis-15749	75	15	pattern	pattern	NOUN
fcis-15749	75	16	recognition	recognition	NOUN
fcis-15749	75	17	phase	phase	NOUN
fcis-15749	75	18	.	.	PUNCT
fcis-15749	76	1	3.2	3.2	NUM
fcis-15749	76	2	.	.	PUNCT
fcis-15749	77	1	learning	learn	VERB
fcis-15749	77	2	phase	phase	NOUN
fcis-15749	77	3	3.2.1	3.2.1	NUM
fcis-15749	77	4	.	.	PUNCT
fcis-15749	78	1	genetic	genetic	ADJ
fcis-15749	78	2	algorithm	algorithm	NOUN
fcis-15749	78	3	choose	choose	VERB
fcis-15749	78	4	a	a	DET
fcis-15749	78	5	network	network	NOUN
fcis-15749	78	6	structure	structure	NOUN
fcis-15749	78	7	described	describe	VERB
fcis-15749	78	8	by	by	ADP
fcis-15749	78	9	expressions	expression	NOUN
fcis-15749	78	10	(	(	PUNCT
fcis-15749	78	11	1	1	NUM
fcis-15749	78	12	)	)	PUNCT
fcis-15749	78	13	to	to	ADP
fcis-15749	78	14	(	(	PUNCT
fcis-15749	78	15	4	4	X
fcis-15749	78	16	)	)	PUNCT
fcis-15749	78	17	select	select	VERB
fcis-15749	78	18	the	the	DET
fcis-15749	78	19	initial	initial	ADJ
fcis-15749	78	20	weight	weight	NOUN
fcis-15749	78	21	matrix	matrix	NOUN
fcis-15749	78	22	set	set	NOUN
fcis-15749	78	23	of	of	ADP
fcis-15749	78	24	cenns	cenns	NOUN
fcis-15749	78	25	:	:	PUNCT
fcis-15749	78	26	0	0	NUM
fcis-15749	78	27	0	0	NUM
fcis-15749	78	28	0	0	NUM
fcis-15749	78	29	0	0	NUM
fcis-15749	78	30	0	0	NUM
fcis-15749	78	31	2	2	NUM
fcis-15749	78	32	0	0	NUM
fcis-15749	78	33	0	0	NUM
fcis-15749	78	34	0	0	NUM
fcis-15749	78	35	0	0	NUM
fcis-15749	78	36	,	,	PUNCT
fcis-15749	78	37	0	0	NUM
fcis-15749	78	38	0	0	NUM
fcis-15749	78	39	0	0	NUM
fcis-15749	78	40	0	0	NUM
fcis-15749	78	41	0	0	NUM
fcis-15749	78	42	0	0	NUM
fcis-15749	78	43	0	0	NUM
fcis-15749	78	44	0	0	NUM
fcis-15749	78	45	0	0	NUM
fcis-15749	78	46	0	0	NUM
fcis-15749	78	47	;	;	PUNCT
fcis-15749	78	48	0	0	NUM
fcis-15749	78	49	1	1	NUM
fcis-15749	78	50	select	select	ADJ
fcis-15749	78	51	minimum	minimum	NOUN
fcis-15749	78	52	error	error	NOUN
fcis-15749	78	53	e1min	e1min	NOUN
fcis-15749	78	54	=	=	SYM
fcis-15749	78	55	10	10	NUM
fcis-15749	78	56	select	select	VERB
fcis-15749	78	57	the	the	DET
fcis-15749	78	58	appropriate	appropriate	ADJ
fcis-15749	78	59	parameters	parameter	NOUN
fcis-15749	78	60	genes	gene	NOUN
fcis-15749	78	61	,	,	PUNCT
fcis-15749	78	62	chromosomes	chromosome	NOUN
fcis-15749	78	63	,	,	PUNCT
fcis-15749	78	64	populatiosn	populatiosn	NOUN
fcis-15749	78	65	,	,	PUNCT
fcis-15749	78	66	and	and	CCONJ
fcis-15749	78	67	fitness	fitness	NOUN
fcis-15749	78	68	function	function	NOUN
fcis-15749	78	69	according	accord	VERB
fcis-15749	78	70	to	to	ADP
fcis-15749	78	71	sections	section	NOUN
fcis-15749	78	72	2.2.1	2.2.1	NUM
fcis-15749	78	73	figure	figure	NOUN
fcis-15749	78	74	2	2	NUM
fcis-15749	78	75	.	.	PUNCT
fcis-15749	78	76	templates	template	NOUN
fcis-15749	78	77	for	for	ADP
fcis-15749	78	78	image	image	NOUN
fcis-15749	78	79	processing	processing	NOUN
fcis-15749	78	80	for	for	ADP
fcis-15749	78	81	each	each	DET
fcis-15749	78	82	weight	weight	NOUN
fcis-15749	78	83	in	in	ADP
fcis-15749	78	84	the	the	DET
fcis-15749	78	85	network	network	NOUN
fcis-15749	78	86	,	,	PUNCT
fcis-15749	78	87	we	we	PRON
fcis-15749	78	88	follow	follow	VERB
fcis-15749	78	89	the	the	DET
fcis-15749	78	90	ordering	ordering	NOUN
fcis-15749	78	91	principle	principle	NOUN
fcis-15749	78	92	from	from	ADP
fcis-15749	78	93	matrices	matrix	NOUN
fcis-15749	78	94	a1	a1	NOUN
fcis-15749	78	95	,	,	PUNCT
fcis-15749	78	96	b1	b1	NOUN
fcis-15749	78	97	,	,	PUNCT
fcis-15749	78	98	and	and	CCONJ
fcis-15749	78	99	i.	i.	NOUN
fcis-15749	78	100	the	the	DET
fcis-15749	78	101	calculation	calculation	NOUN
fcis-15749	78	102	of	of	ADP
fcis-15749	78	103	all	all	DET
fcis-15749	78	104	corresponding	correspond	VERB
fcis-15749	78	105	weights	weight	NOUN
fcis-15749	78	106	defines	define	VERB
fcis-15749	78	107	an	an	DET
fcis-15749	78	108	epoch	epoch	NOUN
fcis-15749	78	109	,	,	PUNCT
fcis-15749	78	110	with	with	ADP
fcis-15749	78	111	11	11	NUM
fcis-15749	78	112	chromosomes	chromosome	NOUN
fcis-15749	78	113	per	per	ADP
fcis-15749	78	114	epoch	epoch	NOUN
fcis-15749	78	115	.	.	PUNCT
fcis-15749	79	1	remarkably	remarkably	ADV
fcis-15749	79	2	,	,	PUNCT
fcis-15749	79	3	after	after	ADP
fcis-15749	79	4	the	the	DET
fcis-15749	79	5	6th	6th	ADJ
fcis-15749	79	6	epoch	epoch	NOUN
fcis-15749	79	7	,	,	PUNCT
fcis-15749	79	8	the	the	DET
fcis-15749	79	9	total	total	ADJ
fcis-15749	79	10	error	error	NOUN
fcis-15749	79	11	converges	converge	VERB
fcis-15749	79	12	to	to	ADP
fcis-15749	79	13	the	the	DET
fcis-15749	79	14	desired	desire	VERB
fcis-15749	79	15	optimal	optimal	ADJ
fcis-15749	79	16	value	value	NOUN
fcis-15749	79	17	.	.	PUNCT
fcis-15749	80	1	the	the	DET
fcis-15749	80	2	calculated	calculate	VERB
fcis-15749	80	3	weight	weight	NOUN
fcis-15749	80	4	values	value	NOUN
fcis-15749	80	5	constitute	constitute	VERB
fcis-15749	80	6	the	the	DET
fcis-15749	80	7	sought	seek	VERB
fcis-15749	80	8	-	-	PUNCT
fcis-15749	80	9	after	after	NOUN
fcis-15749	80	10	set	set	NOUN
fcis-15749	80	11	,	,	PUNCT
fcis-15749	80	12	concluding	conclude	VERB
fcis-15749	80	13	the	the	DET
fcis-15749	80	14	weight	weight	NOUN
fcis-15749	80	15	calculation	calculation	NOUN
fcis-15749	80	16	algorithm	algorithm	NOUN
fcis-15749	80	17	for	for	ADP
fcis-15749	80	18	socenns	socenn	NOUN
fcis-15749	80	19	using	use	VERB
fcis-15749	80	20	the	the	DET
fcis-15749	80	21	genetic	genetic	ADJ
fcis-15749	80	22	algorithm	algorithm	NOUN
fcis-15749	80	23	.	.	PUNCT
fcis-15749	81	1	the	the	DET
fcis-15749	81	2	resulting	result	VERB
fcis-15749	81	3	set	set	NOUN
fcis-15749	81	4	of	of	ADP
fcis-15749	81	5	matrices	matrix	NOUN
fcis-15749	81	6	is	be	AUX
fcis-15749	81	7	as	as	SCONJ
fcis-15749	81	8	follows	follow	VERB
fcis-15749	81	9	:	:	PUNCT
fcis-15749	81	10	6	6	NUM
fcis-15749	81	11	1.27	1.27	NUM
fcis-15749	81	12	1.06	1.06	NUM
fcis-15749	81	13	2.05	2.05	NUM
fcis-15749	81	14	4.2	4.2	NUM
fcis-15749	81	15	6.98	6.98	NUM
fcis-15749	81	16	4.2	4.2	NUM
fcis-15749	81	17	2.05	2.05	NUM
fcis-15749	81	18	1.05	1.05	NUM
fcis-15749	81	19	1.28	1.28	NUM
fcis-15749	81	20	,	,	PUNCT
fcis-15749	81	21	6	6	NUM
fcis-15749	81	22	2.83	2.83	NUM
fcis-15749	81	23	3.14	3.14	NUM
fcis-15749	81	24	0.7	0.7	NUM
fcis-15749	81	25	0.27	0.27	NUM
fcis-15749	81	26	9.64	9.64	NUM
fcis-15749	81	27	0.27	0.27	NUM
fcis-15749	81	28	0.7	0.7	NUM
fcis-15749	81	29	3.14	3.14	NUM
fcis-15749	81	30	2.83	2.83	NUM
fcis-15749	81	31	,	,	PUNCT
fcis-15749	81	32	6	6	NUM
fcis-15749	81	33	4.55	4.55	NUM
fcis-15749	81	34	3.2.2	3.2.2	NUM
fcis-15749	81	35	.	.	PUNCT
fcis-15749	82	1	recurrent	recurrent	ADJ
fcis-15749	82	2	perceptron	perceptron	PROPN
fcis-15749	82	3	learning	learning	PROPN
fcis-15749	82	4	algorithm	algorithm	NOUN
fcis-15749	82	5	leveraging	leverage	VERB
fcis-15749	82	6	the	the	DET
fcis-15749	82	7	outcomes	outcome	NOUN
fcis-15749	82	8	derived	derive	VERB
fcis-15749	82	9	from	from	ADP
fcis-15749	82	10	the	the	DET
fcis-15749	82	11	genetic	genetic	ADJ
fcis-15749	82	12	algorithm	algorithm	NOUN
fcis-15749	82	13	(	(	PUNCT
fcis-15749	82	14	ga	ga	NOUN
fcis-15749	82	15	)	)	PUNCT
fcis-15749	82	16	and	and	CCONJ
fcis-15749	82	17	the	the	DET
fcis-15749	82	18	training	training	NOUN
fcis-15749	82	19	sample	sample	NOUN
fcis-15749	82	20	set	set	VERB
fcis-15749	82	21	outlined	outline	VERB
fcis-15749	82	22	in	in	ADP
fcis-15749	82	23	the	the	DET
fcis-15749	82	24	previous	previous	ADJ
fcis-15749	82	25	content	content	NOUN
fcis-15749	82	26	,	,	PUNCT
fcis-15749	82	27	the	the	DET
fcis-15749	82	28	learning	learning	NOUN
fcis-15749	82	29	process	process	NOUN
fcis-15749	82	30	for	for	ADP
fcis-15749	82	31	the	the	DET
fcis-15749	82	32	network	network	NOUN
fcis-15749	82	33	unfolds	unfold	VERB
fcis-15749	82	34	through	through	ADP
fcis-15749	82	35	rpla	rpla	NOUN
fcis-15749	82	36	.	.	PUNCT
fcis-15749	83	1	the	the	DET
fcis-15749	83	2	objective	objective	NOUN
fcis-15749	83	3	is	be	AUX
fcis-15749	83	4	to	to	PART
fcis-15749	83	5	ascertain	ascertain	VERB
fcis-15749	83	6	the	the	DET
fcis-15749	83	7	globally	globally	ADV
fcis-15749	83	8	optimal	optimal	ADJ
fcis-15749	83	9	weight	weight	NOUN
fcis-15749	83	10	set	set	NOUN
fcis-15749	83	11	for	for	ADP
fcis-15749	83	12	the	the	DET
fcis-15749	83	13	cellular	cellular	ADJ
fcis-15749	83	14	neural	neural	ADJ
fcis-15749	83	15	network	network	NOUN
fcis-15749	83	16	.	.	PUNCT
fcis-15749	84	1	during	during	ADP
fcis-15749	84	2	the	the	DET
fcis-15749	84	3	learning	learning	NOUN
fcis-15749	84	4	process	process	NOUN
fcis-15749	84	5	using	use	VERB
fcis-15749	84	6	rpla	rpla	NOUN
fcis-15749	84	7	,	,	PUNCT
fcis-15749	84	8	we	we	PRON
fcis-15749	84	9	reduce	reduce	VERB
fcis-15749	84	10	the	the	DET
fcis-15749	84	11	minimum	minimum	ADJ
fcis-15749	84	12	error	error	NOUN
fcis-15749	84	13	compared	compare	VERB
fcis-15749	84	14	to	to	ADP
fcis-15749	84	15	the	the	DET
fcis-15749	84	16	minimum	minimum	ADJ
fcis-15749	84	17	error	error	NOUN
fcis-15749	84	18	of	of	ADP
fcis-15749	84	19	ga	ga	PROPN
fcis-15749	84	20	,	,	PUNCT
fcis-15749	84	21	here	here	ADV
fcis-15749	84	22	choosing	choose	VERB
fcis-15749	84	23	e2min	e2min	PROPN
fcis-15749	84	24	=	=	SYM
fcis-15749	84	25	4	4	NUM
fcis-15749	84	26	,	,	PUNCT
fcis-15749	84	27	and	and	CCONJ
fcis-15749	84	28	select	select	ADJ
fcis-15749	84	29	learning	learning	NOUN
fcis-15749	84	30	rate	rate	NOUN
fcis-15749	84	31	α	α	NOUN
fcis-15749	84	32	=	=	NOUN
fcis-15749	84	33	0.01	0.01	NUM
fcis-15749	84	34	.	.	PUNCT
fcis-15749	85	1	in	in	ADP
fcis-15749	85	2	the	the	DET
fcis-15749	85	3	learning	learning	NOUN
fcis-15749	85	4	process	process	NOUN
fcis-15749	85	5	employing	employ	VERB
fcis-15749	85	6	rpla	rpla	NOUN
fcis-15749	85	7	,	,	PUNCT
fcis-15749	85	8	we	we	PRON
fcis-15749	85	9	achieve	achieve	VERB
fcis-15749	85	10	a	a	DET
fcis-15749	85	11	set	set	NOUN
fcis-15749	85	12	of	of	ADP
fcis-15749	85	13	matrices	matrix	NOUN
fcis-15749	85	14	after	after	ADP
fcis-15749	85	15	12	12	NUM
fcis-15749	85	16	epochs	epoch	NOUN
fcis-15749	85	17	.	.	PUNCT
fcis-15749	86	1	these	these	DET
fcis-15749	86	2	weight	weight	NOUN
fcis-15749	86	3	matrices	matrix	NOUN
fcis-15749	86	4	lead	lead	VERB
fcis-15749	86	5	to	to	ADP
fcis-15749	86	6	the	the	DET
fcis-15749	86	7	total	total	ADJ
fcis-15749	86	8	error	error	NOUN
fcis-15749	86	9	between	between	ADP
fcis-15749	86	10	the	the	DET
fcis-15749	86	11	output	output	NOUN
fcis-15749	86	12	and	and	CCONJ
fcis-15749	86	13	input	input	NOUN
fcis-15749	86	14	of	of	ADP
fcis-15749	86	15	the	the	DET
fcis-15749	86	16	three	three	NUM
fcis-15749	86	17	samples	sample	NOUN
fcis-15749	86	18	reverts	revert	VERB
fcis-15749	86	19	to	to	ADP
fcis-15749	86	20	the	the	DET
fcis-15749	86	21	desired	desire	VERB
fcis-15749	86	22	minimum	minimum	NOUN
fcis-15749	86	23	value	value	NOUN
fcis-15749	86	24	.	.	PUNCT
fcis-15749	87	1	using	use	VERB
fcis-15749	87	2	this	this	DET
fcis-15749	87	3	ultimate	ultimate	ADJ
fcis-15749	87	4	set	set	NOUN
fcis-15749	87	5	of	of	ADP
fcis-15749	87	6	weight	weight	NOUN
fcis-15749	87	7	matrices	matrix	NOUN
fcis-15749	87	8	,	,	PUNCT
fcis-15749	87	9	the	the	DET
fcis-15749	87	10	objective	objective	NOUN
fcis-15749	87	11	is	be	AUX
fcis-15749	87	12	to	to	PART
fcis-15749	87	13	generate	generate	VERB
fcis-15749	87	14	actual	actual	ADJ
fcis-15749	87	15	output	output	NOUN
fcis-15749	87	16	matrices	matrix	NOUN
fcis-15749	87	17	closely	closely	ADV
fcis-15749	87	18	mirroring	mirror	VERB
fcis-15749	87	19	the	the	DET
fcis-15749	87	20	desired	desire	VERB
fcis-15749	87	21	output	output	NOUN
fcis-15749	87	22	matrices	matrix	NOUN
fcis-15749	87	23	.	.	PUNCT
fcis-15749	88	1	this	this	PRON
fcis-15749	88	2	signifies	signify	VERB
fcis-15749	88	3	the	the	DET
fcis-15749	88	4	successful	successful	ADJ
fcis-15749	88	5	completion	completion	NOUN
fcis-15749	88	6	of	of	ADP
fcis-15749	88	7	the	the	DET
fcis-15749	88	8	edge	edge	NOUN
fcis-15749	88	9	detection	detection	NOUN
fcis-15749	88	10	problem	problem	NOUN
fcis-15749	88	11	through	through	ADP
fcis-15749	88	12	rpla	rpla	NOUN
fcis-15749	88	13	,	,	PUNCT
fcis-15749	88	14	achieving	achieve	VERB
fcis-15749	88	15	the	the	DET
fcis-15749	88	16	desired	desire	VERB
fcis-15749	88	17	level	level	NOUN
fcis-15749	88	18	of	of	ADP
fcis-15749	88	19	accuracy	accuracy	NOUN
fcis-15749	88	20	.	.	PUNCT
fcis-15749	89	1	13	13	NUM
fcis-15749	89	2	3.3	3.3	NUM
fcis-15749	89	3	.	.	PUNCT
fcis-15749	90	1	pattern	pattern	NOUN
fcis-15749	90	2	recognition	recognition	NOUN
fcis-15749	90	3	phase	phase	NOUN
fcis-15749	90	4	using	use	VERB
fcis-15749	90	5	the	the	DET
fcis-15749	90	6	set	set	NOUN
fcis-15749	90	7	of	of	ADP
fcis-15749	90	8	weights	weight	NOUN
fcis-15749	90	9	acquired	acquire	VERB
fcis-15749	90	10	through	through	ADP
fcis-15749	90	11	the	the	DET
fcis-15749	90	12	hybrid	hybrid	ADJ
fcis-15749	90	13	algorithm	algorithm	NOUN
fcis-15749	90	14	of	of	ADP
fcis-15749	90	15	ga	ga	PROPN
fcis-15749	90	16	and	and	CCONJ
fcis-15749	90	17	rpla	rpla	NOUN
fcis-15749	90	18	,	,	PUNCT
fcis-15749	90	19	we	we	PRON
fcis-15749	90	20	conducted	conduct	VERB
fcis-15749	90	21	experiments	experiment	NOUN
fcis-15749	90	22	on	on	ADP
fcis-15749	90	23	the	the	DET
fcis-15749	90	24	image	image	NOUN
fcis-15749	90	25	edge	edge	NOUN
fcis-15749	90	26	detection	detection	NOUN
fcis-15749	90	27	problem	problem	NOUN
fcis-15749	90	28	.	.	PUNCT
fcis-15749	91	1	employing	employ	VERB
fcis-15749	91	2	the	the	DET
fcis-15749	91	3	pycenns	pycenns	ADJ
fcis-15749	91	4	image	image	NOUN
fcis-15749	91	5	processing	processing	NOUN
fcis-15749	91	6	algorithm	algorithm	NOUN
fcis-15749	91	7	developed	develop	VERB
fcis-15749	91	8	for	for	ADP
fcis-15749	91	9	cellular	cellular	ADJ
fcis-15749	91	10	neural	neural	ADJ
fcis-15749	91	11	networks	network	NOUN
fcis-15749	91	12	from	from	ADP
fcis-15749	91	13	an	an	DET
fcis-15749	91	14	open	open	ADJ
fcis-15749	91	15	-	-	PUNCT
fcis-15749	91	16	source	source	NOUN
fcis-15749	91	17	code	code	NOUN
fcis-15749	91	18	on	on	ADP
fcis-15749	91	19	github	github	PROPN
fcis-15749	91	20	,	,	PUNCT
fcis-15749	91	21	implemented	implement	VERB
fcis-15749	91	22	in	in	ADP
fcis-15749	91	23	python	python	PROPN
fcis-15749	91	24	,	,	PUNCT
fcis-15749	91	25	we	we	PRON
fcis-15749	91	26	carried	carry	VERB
fcis-15749	91	27	out	out	ADP
fcis-15749	91	28	two	two	NUM
fcis-15749	91	29	distinct	distinct	ADJ
fcis-15749	91	30	testing	testing	NOUN
fcis-15749	91	31	phases	phase	NOUN
fcis-15749	91	32	as	as	SCONJ
fcis-15749	91	33	outlined	outline	VERB
fcis-15749	91	34	below	below	ADV
fcis-15749	91	35	:	:	PUNCT
fcis-15749	91	36	case	case	NOUN
fcis-15749	91	37	1	1	NUM
fcis-15749	91	38	:	:	PUNCT
fcis-15749	91	39	in	in	ADP
fcis-15749	91	40	this	this	DET
fcis-15749	91	41	scenario	scenario	NOUN
fcis-15749	91	42	,	,	PUNCT
fcis-15749	91	43	a	a	DET
fcis-15749	91	44	256x256	256x256	PROPN
fcis-15749	91	45	input	input	NOUN
fcis-15749	91	46	image	image	NOUN
fcis-15749	91	47	previously	previously	ADV
fcis-15749	91	48	processed	process	VERB
fcis-15749	91	49	by	by	ADP
fcis-15749	91	50	independent	independent	ADJ
fcis-15749	91	51	algorithms	algorithm	NOUN
fcis-15749	91	52	ga	ga	PROPN
fcis-15749	91	53	and	and	CCONJ
fcis-15749	91	54	rpla	rpla	VERB
fcis-15749	91	55	to	to	PART
fcis-15749	91	56	extract	extract	VERB
fcis-15749	91	57	image	image	NOUN
fcis-15749	91	58	edges	edge	NOUN
fcis-15749	91	59	is	be	AUX
fcis-15749	91	60	utilized	utilize	VERB
fcis-15749	91	61	.	.	PUNCT
fcis-15749	92	1	in	in	ADP
fcis-15749	92	2	the	the	DET
fcis-15749	92	3	left	left	ADJ
fcis-15749	92	4	image	image	NOUN
fcis-15749	92	5	(	(	PUNCT
fcis-15749	92	6	fig	fig	NOUN
fcis-15749	92	7	3.a	3.a	NUM
fcis-15749	92	8	)	)	PUNCT
fcis-15749	92	9	,	,	PUNCT
fcis-15749	92	10	diverse	diverse	ADJ
fcis-15749	92	11	blocks	block	NOUN
fcis-15749	92	12	are	be	AUX
fcis-15749	92	13	arranged	arrange	VERB
fcis-15749	92	14	without	without	ADP
fcis-15749	92	15	fixed	fix	VERB
fcis-15749	92	16	principles	principle	NOUN
fcis-15749	92	17	.	.	PUNCT
fcis-15749	93	1	conversely	conversely	ADV
fcis-15749	93	2	,	,	PUNCT
fcis-15749	93	3	figure	figure	VERB
fcis-15749	93	4	3.b	3.b	NUM
fcis-15749	93	5	portrays	portray	VERB
fcis-15749	93	6	the	the	DET
fcis-15749	93	7	object	object	NOUN
fcis-15749	93	8	after	after	ADP
fcis-15749	93	9	boundary	boundary	ADJ
fcis-15749	93	10	separation	separation	NOUN
fcis-15749	93	11	.	.	PUNCT
fcis-15749	94	1	the	the	DET
fcis-15749	94	2	outcomes	outcome	NOUN
fcis-15749	94	3	from	from	ADP
fcis-15749	94	4	these	these	DET
fcis-15749	94	5	algorithms	algorithm	NOUN
fcis-15749	94	6	describe	describe	VERB
fcis-15749	94	7	the	the	DET
fcis-15749	94	8	object	object	NOUN
fcis-15749	94	9	boundaries	boundary	NOUN
fcis-15749	94	10	are	be	AUX
fcis-15749	94	11	clearly	clearly	ADV
fcis-15749	94	12	defined	define	VERB
fcis-15749	94	13	,	,	PUNCT
fcis-15749	94	14	showcasing	showcase	VERB
fcis-15749	94	15	a	a	DET
fcis-15749	94	16	smooth	smooth	ADJ
fcis-15749	94	17	and	and	CCONJ
fcis-15749	94	18	uninterrupted	uninterrupted	ADJ
fcis-15749	94	19	appearance	appearance	NOUN
fcis-15749	94	20	.	.	PUNCT
fcis-15749	95	1	figure	figure	NOUN
fcis-15749	95	2	3	3	NUM
fcis-15749	95	3	.	.	PUNCT
fcis-15749	95	4	result	result	NOUN
fcis-15749	95	5	of	of	ADP
fcis-15749	95	6	edge	edge	NOUN
fcis-15749	95	7	detection	detection	NOUN
fcis-15749	95	8	in	in	ADP
fcis-15749	95	9	image	image	NOUN
fcis-15749	95	10	processing	processing	NOUN
fcis-15749	95	11	case	case	NOUN
fcis-15749	95	12	2	2	NUM
fcis-15749	95	13	:	:	PUNCT
fcis-15749	95	14	opting	opt	VERB
fcis-15749	95	15	for	for	ADP
fcis-15749	95	16	a	a	DET
fcis-15749	95	17	black	black	ADJ
fcis-15749	95	18	and	and	CCONJ
fcis-15749	95	19	white	white	ADJ
fcis-15749	95	20	image	image	NOUN
fcis-15749	95	21	featuring	feature	VERB
fcis-15749	95	22	a	a	DET
fcis-15749	95	23	zebra	zebra	NOUN
fcis-15749	95	24	head	head	NOUN
fcis-15749	95	25	(	(	PUNCT
fcis-15749	95	26	figure	figure	NOUN
fcis-15749	95	27	4	4	NUM
fcis-15749	95	28	)	)	PUNCT
fcis-15749	95	29	with	with	ADP
fcis-15749	95	30	dimensions	dimension	NOUN
fcis-15749	95	31	(	(	PUNCT
fcis-15749	95	32	474x316	474x316	PROPN
fcis-15749	95	33	)	)	PUNCT
fcis-15749	95	34	as	as	ADP
fcis-15749	95	35	the	the	DET
fcis-15749	95	36	input	input	NOUN
fcis-15749	95	37	image	image	NOUN
fcis-15749	95	38	,	,	PUNCT
fcis-15749	95	39	the	the	DET
fcis-15749	95	40	image	image	NOUN
fcis-15749	95	41	produced	produce	VERB
fcis-15749	95	42	through	through	ADP
fcis-15749	95	43	the	the	DET
fcis-15749	95	44	collaborative	collaborative	PROPN
fcis-15749	95	45	ga	ga	PROPN
fcis-15749	95	46	and	and	CCONJ
fcis-15749	95	47	rpla	rpla	NOUN
fcis-15749	95	48	algorithm	algorithm	NOUN
fcis-15749	95	49	presented	present	VERB
fcis-15749	95	50	the	the	DET
fcis-15749	95	51	boundary	boundary	NOUN
fcis-15749	95	52	of	of	ADP
fcis-15749	95	53	the	the	DET
fcis-15749	95	54	zebra	zebra	NOUN
fcis-15749	95	55	's	's	PART
fcis-15749	95	56	head	head	NOUN
fcis-15749	95	57	.	.	PUNCT
fcis-15749	96	1	it	it	PRON
fcis-15749	96	2	's	be	AUX
fcis-15749	96	3	essential	essential	ADJ
fcis-15749	96	4	to	to	PART
fcis-15749	96	5	observe	observe	VERB
fcis-15749	96	6	that	that	SCONJ
fcis-15749	96	7	,	,	PUNCT
fcis-15749	96	8	in	in	ADP
fcis-15749	96	9	this	this	DET
fcis-15749	96	10	instance	instance	NOUN
fcis-15749	96	11	,	,	PUNCT
fcis-15749	96	12	the	the	DET
fcis-15749	96	13	garpla	garpla	ADJ
fcis-15749	96	14	algorithm	algorithm	NOUN
fcis-15749	96	15	does	do	AUX
fcis-15749	96	16	not	not	PART
fcis-15749	96	17	effectively	effectively	ADV
fcis-15749	96	18	reveal	reveal	VERB
fcis-15749	96	19	detailed	detailed	ADJ
fcis-15749	96	20	and	and	CCONJ
fcis-15749	96	21	distinct	distinct	ADJ
fcis-15749	96	22	object	object	NOUN
fcis-15749	96	23	boundaries	boundary	NOUN
fcis-15749	96	24	in	in	ADP
fcis-15749	96	25	the	the	DET
fcis-15749	96	26	image	image	NOUN
fcis-15749	96	27	.	.	PUNCT
fcis-15749	97	1	figure	figure	NOUN
fcis-15749	97	2	4	4	NUM
fcis-15749	97	3	.	.	NOUN
fcis-15749	97	4	result	result	NOUN
fcis-15749	97	5	of	of	ADP
fcis-15749	97	6	edge	edge	NOUN
fcis-15749	97	7	detection	detection	NOUN
fcis-15749	97	8	in	in	ADP
fcis-15749	97	9	image	image	NOUN
fcis-15749	97	10	processing	processing	NOUN
fcis-15749	97	11	through	through	ADP
fcis-15749	97	12	the	the	DET
fcis-15749	97	13	above	above	ADJ
fcis-15749	97	14	two	two	NUM
fcis-15749	97	15	test	test	NOUN
fcis-15749	97	16	cases	case	NOUN
fcis-15749	97	17	,	,	PUNCT
fcis-15749	97	18	using	use	VERB
fcis-15749	97	19	visual	visual	ADJ
fcis-15749	97	20	methods	method	NOUN
fcis-15749	97	21	,	,	PUNCT
fcis-15749	97	22	we	we	PRON
fcis-15749	97	23	found	find	VERB
fcis-15749	97	24	that	that	SCONJ
fcis-15749	97	25	for	for	ADP
fcis-15749	97	26	small	small	ADJ
fcis-15749	97	27	sized	sized	ADJ
fcis-15749	97	28	,	,	PUNCT
fcis-15749	97	29	less	less	ADV
fcis-15749	97	30	complex	complex	ADJ
fcis-15749	97	31	images	image	NOUN
fcis-15749	97	32	,	,	PUNCT
fcis-15749	97	33	using	use	VERB
fcis-15749	97	34	cenns	cenns	ADJ
fcis-15749	97	35	separation	separation	NOUN
fcis-15749	97	36	is	be	AUX
fcis-15749	97	37	completely	completely	ADV
fcis-15749	97	38	appropriate	appropriate	ADJ
fcis-15749	97	39	.	.	PUNCT
fcis-15749	98	1	meanwhile	meanwhile	ADV
fcis-15749	98	2	,	,	PUNCT
fcis-15749	98	3	for	for	ADP
fcis-15749	98	4	the	the	DET
fcis-15749	98	5	image	image	NOUN
fcis-15749	98	6	of	of	ADP
fcis-15749	98	7	a	a	DET
fcis-15749	98	8	zebra	zebra	NOUN
fcis-15749	98	9	head	head	NOUN
fcis-15749	98	10	with	with	ADP
fcis-15749	98	11	large	large	ADJ
fcis-15749	98	12	size	size	NOUN
fcis-15749	98	13	and	and	CCONJ
fcis-15749	98	14	many	many	ADJ
fcis-15749	98	15	complex	complex	ADJ
fcis-15749	98	16	details	detail	NOUN
fcis-15749	98	17	,	,	PUNCT
fcis-15749	98	18	cenns	cenn	NOUN
fcis-15749	98	19	have	have	AUX
fcis-15749	98	20	not	not	PART
fcis-15749	98	21	completely	completely	ADV
fcis-15749	98	22	solved	solve	VERB
fcis-15749	98	23	the	the	DET
fcis-15749	98	24	problem	problem	NOUN
fcis-15749	98	25	of	of	ADP
fcis-15749	98	26	object	object	NOUN
fcis-15749	98	27	boundary	boundary	ADJ
fcis-15749	98	28	separation	separation	NOUN
fcis-15749	98	29	.	.	PUNCT
fcis-15749	99	1	in	in	ADP
fcis-15749	99	2	fact	fact	NOUN
fcis-15749	99	3	,	,	PUNCT
fcis-15749	99	4	we	we	PRON
fcis-15749	99	5	also	also	ADV
fcis-15749	99	6	conducted	conduct	VERB
fcis-15749	99	7	many	many	ADJ
fcis-15749	99	8	different	different	ADJ
fcis-15749	99	9	cases	case	NOUN
fcis-15749	99	10	but	but	CCONJ
fcis-15749	99	11	all	all	PRON
fcis-15749	99	12	got	get	VERB
fcis-15749	99	13	the	the	DET
fcis-15749	99	14	same	same	ADJ
fcis-15749	99	15	result	result	NOUN
fcis-15749	99	16	.	.	PUNCT
fcis-15749	100	1	4	4	X
fcis-15749	100	2	.	.	X
fcis-15749	100	3	summary	summary	VERB
fcis-15749	100	4	the	the	DET
fcis-15749	100	5	article	article	NOUN
fcis-15749	100	6	details	detail	VERB
fcis-15749	100	7	the	the	DET
fcis-15749	100	8	perceptron	perceptron	PROPN
fcis-15749	100	9	regression	regression	PROPN
fcis-15749	100	10	algorithm	algorithm	NOUN
fcis-15749	100	11	and	and	CCONJ
fcis-15749	100	12	the	the	DET
fcis-15749	100	13	genetic	genetic	ADJ
fcis-15749	100	14	algorithm	algorithm	NOUN
fcis-15749	100	15	to	to	PART
fcis-15749	100	16	clarify	clarify	VERB
fcis-15749	100	17	how	how	SCONJ
fcis-15749	100	18	to	to	PART
fcis-15749	100	19	calculate	calculate	VERB
fcis-15749	100	20	the	the	DET
fcis-15749	100	21	weight	weight	NOUN
fcis-15749	100	22	set	set	NOUN
fcis-15749	100	23	for	for	ADP
fcis-15749	100	24	the	the	DET
fcis-15749	100	25	cellular	cellular	ADJ
fcis-15749	100	26	neural	neural	ADJ
fcis-15749	100	27	network	network	NOUN
fcis-15749	100	28	.	.	PUNCT
fcis-15749	101	1	from	from	ADP
fcis-15749	101	2	there	there	ADV
fcis-15749	101	3	,	,	PUNCT
fcis-15749	101	4	build	build	VERB
fcis-15749	101	5	the	the	DET
fcis-15749	101	6	garpla	garpla	ADJ
fcis-15749	101	7	algorithm	algorithm	NOUN
fcis-15749	101	8	by	by	ADP
fcis-15749	101	9	hybridizing	hybridize	VERB
fcis-15749	101	10	the	the	DET
fcis-15749	101	11	above	above	ADJ
fcis-15749	101	12	two	two	NUM
fcis-15749	101	13	algorithms	algorithm	NOUN
fcis-15749	101	14	.	.	PUNCT
fcis-15749	102	1	the	the	DET
fcis-15749	102	2	advantage	advantage	NOUN
fcis-15749	102	3	of	of	ADP
fcis-15749	102	4	this	this	DET
fcis-15749	102	5	algorithm	algorithm	NOUN
fcis-15749	102	6	is	be	AUX
fcis-15749	102	7	that	that	SCONJ
fcis-15749	102	8	it	it	PRON
fcis-15749	102	9	helps	help	VERB
fcis-15749	102	10	us	we	PRON
fcis-15749	102	11	fully	fully	ADV
fcis-15749	102	12	calculate	calculate	VERB
fcis-15749	102	13	the	the	DET
fcis-15749	102	14	weights	weight	NOUN
fcis-15749	102	15	of	of	ADP
fcis-15749	102	16	cenns	cenns	NOUN
fcis-15749	102	17	without	without	ADP
fcis-15749	102	18	local	local	ADJ
fcis-15749	102	19	optimization	optimization	NOUN
fcis-15749	102	20	occurring	occur	VERB
fcis-15749	102	21	.	.	PUNCT
fcis-15749	103	1	calculating	calculate	VERB
fcis-15749	103	2	weights	weight	NOUN
fcis-15749	103	3	according	accord	VERB
fcis-15749	103	4	to	to	ADP
fcis-15749	103	5	this	this	DET
fcis-15749	103	6	algorithm	algorithm	NOUN
fcis-15749	103	7	ensures	ensure	VERB
fcis-15749	103	8	cenns	cenn	NOUN
fcis-15749	103	9	are	be	AUX
fcis-15749	103	10	stable	stable	ADJ
fcis-15749	103	11	and	and	CCONJ
fcis-15749	103	12	applicable	applicable	ADJ
fcis-15749	103	13	to	to	ADP
fcis-15749	103	14	specific	specific	ADJ
fcis-15749	103	15	processing	processing	NOUN
fcis-15749	103	16	image	image	NOUN
fcis-15749	103	17	problems	problem	NOUN
fcis-15749	103	18	.	.	PUNCT
fcis-15749	104	1	the	the	DET
fcis-15749	104	2	algorithm	algorithm	NOUN
fcis-15749	104	3	was	be	AUX
fcis-15749	104	4	tested	test	VERB
fcis-15749	104	5	in	in	ADP
fcis-15749	104	6	image	image	NOUN
fcis-15749	104	7	processing	processing	NOUN
fcis-15749	104	8	to	to	PART
fcis-15749	104	9	determine	determine	VERB
fcis-15749	104	10	the	the	DET
fcis-15749	104	11	boundaries	boundary	NOUN
fcis-15749	104	12	of	of	ADP
fcis-15749	104	13	different	different	ADJ
fcis-15749	104	14	objects	object	NOUN
fcis-15749	104	15	,	,	PUNCT
fcis-15749	104	16	and	and	CCONJ
fcis-15749	104	17	encouraging	encourage	VERB
fcis-15749	104	18	results	result	NOUN
fcis-15749	104	19	were	be	AUX
fcis-15749	104	20	obtained	obtain	VERB
fcis-15749	104	21	.	.	PUNCT
fcis-15749	105	1	from	from	ADP
fcis-15749	105	2	the	the	DET
fcis-15749	105	3	results	result	NOUN
fcis-15749	105	4	of	of	ADP
fcis-15749	105	5	the	the	DET
fcis-15749	105	6	article	article	NOUN
fcis-15749	105	7	,	,	PUNCT
fcis-15749	105	8	we	we	PRON
fcis-15749	105	9	find	find	VERB
fcis-15749	105	10	that	that	SCONJ
fcis-15749	105	11	cenns	cenn	NOUN
fcis-15749	105	12	have	have	VERB
fcis-15749	105	13	suitable	suitable	ADJ
fcis-15749	105	14	applications	application	NOUN
fcis-15749	105	15	for	for	ADP
fcis-15749	105	16	image	image	NOUN
fcis-15749	105	17	processing	processing	NOUN
fcis-15749	105	18	problems	problem	NOUN
fcis-15749	105	19	.	.	PUNCT
fcis-15749	106	1	however	however	ADV
fcis-15749	106	2	,	,	PUNCT
fcis-15749	106	3	the	the	DET
fcis-15749	106	4	image	image	NOUN
fcis-15749	106	5	matrix	matrix	NOUN
fcis-15749	106	6	is	be	AUX
fcis-15749	106	7	large	large	ADJ
fcis-15749	106	8	in	in	ADP
fcis-15749	106	9	size	size	NOUN
fcis-15749	106	10	so	so	SCONJ
fcis-15749	106	11	the	the	DET
fcis-15749	106	12	use	use	NOUN
fcis-15749	106	13	of	of	ADP
fcis-15749	106	14	highorder	highorder	NOUN
fcis-15749	106	15	cenns	cenns	NOUN
fcis-15749	106	16	is	be	AUX
fcis-15749	106	17	necessary	necessary	ADJ
fcis-15749	106	18	.	.	PUNCT
fcis-15749	107	1	the	the	DET
fcis-15749	107	2	next	next	ADJ
fcis-15749	107	3	development	development	NOUN
fcis-15749	107	4	direction	direction	NOUN
fcis-15749	107	5	is	be	AUX
fcis-15749	107	6	to	to	PART
fcis-15749	107	7	build	build	VERB
fcis-15749	107	8	weighting	weight	VERB
fcis-15749	107	9	algorithms	algorithm	NOUN
fcis-15749	107	10	for	for	ADP
fcis-15749	107	11	high	high	ADJ
fcis-15749	107	12	-	-	PUNCT
fcis-15749	107	13	order	order	NOUN
fcis-15749	107	14	cenns	cenn	NOUN
fcis-15749	107	15	.	.	PUNCT
fcis-15749	108	1	our	our	PRON
fcis-15749	108	2	research	research	NOUN
fcis-15749	108	3	team	team	NOUN
fcis-15749	108	4	is	be	AUX
fcis-15749	108	5	conducting	conduct	VERB
fcis-15749	108	6	trials	trial	NOUN
fcis-15749	108	7	in	in	ADP
fcis-15749	108	8	new	new	ADJ
fcis-15749	108	9	research	research	NOUN
fcis-15749	108	10	directions	direction	NOUN
fcis-15749	108	11	that	that	PRON
fcis-15749	108	12	can	can	AUX
fcis-15749	108	13	be	be	AUX
fcis-15749	108	14	applied	apply	VERB
fcis-15749	108	15	to	to	ADP
fcis-15749	108	16	more	more	ADV
fcis-15749	108	17	complex	complex	ADJ
fcis-15749	108	18	problems	problem	NOUN
fcis-15749	108	19	.	.	PUNCT
fcis-15749	109	1	references	reference	NOUN
fcis-15749	109	2	[	[	X
fcis-15749	109	3	1	1	NUM
fcis-15749	109	4	]	]	X
fcis-15749	109	5	n.	n.	PROPN
fcis-15749	109	6	behar	behar	PROPN
fcis-15749	109	7	,	,	PUNCT
fcis-15749	109	8	m.	m.	NOUN
fcis-15749	109	9	shrivastava	shrivastava	PROPN
fcis-15749	109	10	,	,	PUNCT
fcis-15749	109	11	„	„	PUNCT
fcis-15749	109	12	a	a	DET
fcis-15749	109	13	novel	novel	ADJ
fcis-15749	109	14	model	model	NOUN
fcis-15749	109	15	for	for	ADP
fcis-15749	109	16	breast	breast	NOUN
fcis-15749	109	17	cancer	cancer	NOUN
fcis-15749	109	18	detection	detection	NOUN
fcis-15749	109	19	and	and	CCONJ
fcis-15749	109	20	classification	classification	NOUN
fcis-15749	109	21	,	,	PUNCT
fcis-15749	109	22	“	"	PUNCT
fcis-15749	109	23	engineering	engineering	NOUN
fcis-15749	109	24	,	,	PUNCT
fcis-15749	109	25	technology	technology	NOUN
fcis-15749	109	26	&	&	CCONJ
fcis-15749	109	27	applied	apply	VERB
fcis-15749	109	28	science	science	NOUN
fcis-15749	109	29	research	research	NOUN
fcis-15749	109	30	,	,	PUNCT
fcis-15749	109	31	bd	bd	PROPN
fcis-15749	109	32	.	.	PROPN
fcis-15749	109	33	12	12	NUM
fcis-15749	109	34	,	,	PUNCT
fcis-15749	109	35	nr	nr	PROPN
fcis-15749	109	36	.	.	PROPN
fcis-15749	109	37	6	6	NUM
fcis-15749	109	38	,	,	PUNCT
fcis-15749	109	39	pp	pp	ADJ
fcis-15749	109	40	.	.	PUNCT
fcis-15749	110	1	9496	9496	NUM
fcis-15749	110	2	-	-	SYM
fcis-15749	110	3	9502	9502	NUM
fcis-15749	110	4	,	,	PUNCT
fcis-15749	110	5	2022	2022	NUM
fcis-15749	110	6	.	.	PUNCT
fcis-15749	111	1	[	[	X
fcis-15749	111	2	2	2	NUM
fcis-15749	111	3	]	]	PUNCT
fcis-15749	111	4	a.	a.	NOUN
fcis-15749	111	5	alsheikhy	alsheikhy	PROPN
fcis-15749	111	6	,	,	PUNCT
fcis-15749	111	7	y.	y.	PROPN
fcis-15749	111	8	said	say	VERB
fcis-15749	111	9	,	,	PUNCT
fcis-15749	111	10	m.	m.	PROPN
fcis-15749	111	11	barr	barr	PROPN
fcis-15749	111	12	,	,	PUNCT
fcis-15749	111	13	„	„	PUNCT
fcis-15749	111	14	logo	logo	NOUN
fcis-15749	111	15	recognition	recognition	NOUN
fcis-15749	111	16	with	with	ADP
fcis-15749	111	17	the	the	DET
fcis-15749	111	18	use	use	NOUN
fcis-15749	111	19	of	of	ADP
fcis-15749	111	20	deep	deep	ADJ
fcis-15749	111	21	convolutional	convolutional	ADJ
fcis-15749	111	22	neural	neural	ADJ
fcis-15749	111	23	networks	network	NOUN
fcis-15749	111	24	,	,	PUNCT
fcis-15749	111	25	“	"	PUNCT
fcis-15749	111	26	engineering	engineering	NOUN
fcis-15749	111	27	,	,	PUNCT
fcis-15749	111	28	technology	technology	NOUN
fcis-15749	111	29	&	&	CCONJ
fcis-15749	111	30	applied	apply	VERB
fcis-15749	111	31	science	science	NOUN
fcis-15749	111	32	research	research	NOUN
fcis-15749	111	33	,	,	PUNCT
fcis-15749	111	34	bd	bd	PROPN
fcis-15749	111	35	.	.	PROPN
fcis-15749	111	36	10	10	NUM
fcis-15749	111	37	,	,	PUNCT
fcis-15749	111	38	nr	nr	NOUN
fcis-15749	111	39	.	.	PROPN
fcis-15749	111	40	5	5	NUM
fcis-15749	111	41	,	,	PUNCT
fcis-15749	111	42	pp	pp	ADJ
fcis-15749	111	43	.	.	PUNCT
fcis-15749	112	1	6191	6191	NUM
fcis-15749	112	2	-	-	SYM
fcis-15749	112	3	6194	6194	NUM
fcis-15749	112	4	,	,	PUNCT
fcis-15749	112	5	2020	2020	NUM
fcis-15749	112	6	.	.	PUNCT
fcis-15749	113	1	[	[	X
fcis-15749	113	2	3	3	X
fcis-15749	113	3	]	]	X
fcis-15749	113	4	g.	g.	PROPN
fcis-15749	113	5	s.	s.	PROPN
fcis-15749	113	6	fesghandis	fesghandis	PROPN
fcis-15749	113	7	,	,	PUNCT
fcis-15749	113	8	a.	a.	NOUN
fcis-15749	113	9	pooya	pooya	PROPN
fcis-15749	113	10	,	,	PUNCT
fcis-15749	113	11	m.	m.	PROPN
fcis-15749	113	12	kazemi	kazemi	PROPN
fcis-15749	113	13	,	,	PUNCT
fcis-15749	113	14	z.	z.	PROPN
fcis-15749	113	15	n.	n.	PROPN
fcis-15749	113	16	azimi	azimi	PROPN
fcis-15749	113	17	,	,	PUNCT
fcis-15749	113	18	comparison	comparison	NOUN
fcis-15749	113	19	of	of	ADP
fcis-15749	113	20	multilayer	multilayer	ADJ
fcis-15749	113	21	perceptron	perceptron	PROPN
fcis-15749	113	22	and	and	CCONJ
fcis-15749	113	23	radial	radial	ADJ
fcis-15749	113	24	basis	basis	NOUN
fcis-15749	113	25	function	function	NOUN
fcis-15749	113	26	neural	neural	ADJ
fcis-15749	113	27	networks	network	NOUN
fcis-15749	113	28	in	in	ADP
fcis-15749	113	29	predicting	predict	VERB
fcis-15749	113	30	the	the	DET
fcis-15749	113	31	success	success	NOUN
fcis-15749	113	32	of	of	ADP
fcis-15749	113	33	new	new	ADJ
fcis-15749	113	34	product	product	NOUN
fcis-15749	113	35	development	development	NOUN
fcis-15749	113	36	,	,	PUNCT
fcis-15749	113	37	engineering	engineering	NOUN
fcis-15749	113	38	,	,	PUNCT
fcis-15749	113	39	technology	technology	NOUN
fcis-15749	113	40	&	&	CCONJ
fcis-15749	113	41	applied	apply	VERB
fcis-15749	113	42	science	science	NOUN
fcis-15749	113	43	research	research	NOUN
fcis-15749	113	44	,	,	PUNCT
fcis-15749	113	45	bd	bd	PROPN
fcis-15749	113	46	.	.	PROPN
fcis-15749	113	47	7	7	NUM
fcis-15749	113	48	,	,	PUNCT
fcis-15749	113	49	nr	nr	PROPN
fcis-15749	113	50	.	.	PROPN
fcis-15749	113	51	1	1	NUM
fcis-15749	113	52	,	,	PUNCT
fcis-15749	113	53	pp	pp	ADJ
fcis-15749	113	54	.	.	PUNCT
fcis-15749	114	1	1425	1425	NUM
fcis-15749	114	2	-	-	SYM
fcis-15749	114	3	1428	1428	NUM
fcis-15749	114	4	,	,	PUNCT
fcis-15749	114	5	2017	2017	NUM
fcis-15749	114	6	.	.	PUNCT
fcis-15749	115	1	[	[	X
fcis-15749	115	2	4	4	NUM
fcis-15749	115	3	]	]	PUNCT
fcis-15749	115	4	l.	l.	PROPN
fcis-15749	115	5	chua	chua	PROPN
fcis-15749	115	6	,	,	PUNCT
fcis-15749	115	7	t.	t.	NOUN
fcis-15749	115	8	roska	roska	NOUN
fcis-15749	115	9	,	,	PUNCT
fcis-15749	115	10	cellular	cellular	ADJ
fcis-15749	115	11	neural	neural	ADJ
fcis-15749	115	12	networks	network	NOUN
fcis-15749	115	13	and	and	CCONJ
fcis-15749	115	14	visual	visual	ADJ
fcis-15749	115	15	computing	computing	NOUN
fcis-15749	115	16	,	,	PUNCT
fcis-15749	115	17	cambridge	cambridge	PROPN
fcis-15749	115	18	,	,	PUNCT
fcis-15749	115	19	united	united	ADJ
fcis-15749	115	20	kingdom	kingdom	PROPN
fcis-15749	115	21	:	:	PUNCT
fcis-15749	115	22	cambridge	cambridge	PROPN
fcis-15749	115	23	university	university	PROPN
fcis-15749	115	24	,	,	PUNCT
fcis-15749	115	25	2004	2004	NUM
fcis-15749	115	26	.	.	PUNCT
fcis-15749	116	1	[	[	X
fcis-15749	116	2	5	5	NUM
fcis-15749	116	3	]	]	PUNCT
fcis-15749	116	4	m.	m.	NOUN
fcis-15749	116	5	gabriele	gabriele	PROPN
fcis-15749	116	6	,	,	PUNCT
fcis-15749	116	7	„	„	PUNCT
fcis-15749	116	8	another	another	DET
fcis-15749	116	9	look	look	NOUN
fcis-15749	116	10	at	at	ADP
fcis-15749	116	11	cellular	cellular	ADJ
fcis-15749	116	12	neural	neural	ADJ
fcis-15749	116	13	networks	network	NOUN
fcis-15749	116	14	,	,	PUNCT
fcis-15749	116	15	“	"	PUNCT
fcis-15749	116	16	in	in	ADP
fcis-15749	116	17	cnna	cnna	NOUN
fcis-15749	116	18	,	,	PUNCT
fcis-15749	116	19	catania	catania	PROPN
fcis-15749	116	20	,	,	PUNCT
fcis-15749	116	21	italy	italy	PROPN
fcis-15749	116	22	,	,	PUNCT
fcis-15749	116	23	2021	2021	NUM
fcis-15749	116	24	.	.	PUNCT
fcis-15749	117	1	[	[	X
fcis-15749	117	2	6	6	NUM
fcis-15749	117	3	]	]	PUNCT
fcis-15749	117	4	s.	s.	PROPN
fcis-15749	117	5	husain	husain	PROPN
fcis-15749	117	6	,	,	PUNCT
fcis-15749	117	7	m.	m.	NOUN
fcis-15749	117	8	imran	imran	PROPN
fcis-15749	117	9	,	,	PUNCT
fcis-15749	117	10	a.	a.	PROPN
fcis-15749	117	11	ahmad	ahmad	PROPN
fcis-15749	117	12	,	,	PUNCT
fcis-15749	117	13	y.	y.	PROPN
fcis-15749	117	14	ahmad	ahmad	PROPN
fcis-15749	117	15	,	,	PUNCT
fcis-15749	117	16	k.	k.	PROPN
fcis-15749	117	17	elahi	elahi	PROPN
fcis-15749	117	18	,	,	PUNCT
fcis-15749	117	19	„	„	PUNCT
fcis-15749	117	20	a	a	DET
fcis-15749	117	21	study	study	NOUN
fcis-15749	117	22	of	of	ADP
fcis-15749	117	23	cellular	cellular	ADJ
fcis-15749	117	24	neural	neural	ADJ
fcis-15749	117	25	networks	network	NOUN
fcis-15749	117	26	with	with	ADP
fcis-15749	117	27	vertex	vertex	NOUN
fcis-15749	117	28	-	-	PUNCT
fcis-15749	117	29	edge	edge	NOUN
fcis-15749	117	30	topological	topological	ADJ
fcis-15749	117	31	descriptors	descriptor	NOUN
fcis-15749	117	32	,	,	PUNCT
fcis-15749	117	33	“	"	PUNCT
fcis-15749	117	34	computers	computer	NOUN
fcis-15749	117	35	,	,	PUNCT
fcis-15749	117	36	materials	material	NOUN
fcis-15749	117	37	&	&	CCONJ
fcis-15749	117	38	continua	continua	PROPN
fcis-15749	117	39	,	,	PUNCT
fcis-15749	117	40	bd	bd	PROPN
fcis-15749	117	41	.	.	PROPN
fcis-15749	117	42	70	70	NUM
fcis-15749	117	43	,	,	PUNCT
fcis-15749	117	44	nr	nr	PROPN
fcis-15749	117	45	.	.	PROPN
fcis-15749	117	46	2	2	NUM
fcis-15749	117	47	,	,	PUNCT
fcis-15749	117	48	pp	pp	ADJ
fcis-15749	117	49	.	.	PUNCT
fcis-15749	118	1	3433	3433	NUM
fcis-15749	118	2	-	-	SYM
fcis-15749	118	3	3447	3447	NUM
fcis-15749	118	4	,	,	PUNCT
fcis-15749	118	5	2022	2022	NUM
fcis-15749	118	6	.	.	PUNCT
fcis-15749	119	1	[	[	X
fcis-15749	119	2	7	7	X
fcis-15749	119	3	]	]	X
fcis-15749	119	4	e.	e.	PROPN
fcis-15749	119	5	kose	kose	PROPN
fcis-15749	119	6	,	,	PUNCT
fcis-15749	119	7	mus	mus	PROPN
fcis-15749	119	8	¨¸tak	¨¸tak	PROPN
fcis-15749	119	9	e.	e.	PROPN
fcis-15749	119	10	yalc¸ın	yalc¸ın	PROPN
fcis-15749	119	11	,	,	PUNCT
fcis-15749	119	12	„	„	PUNCT
fcis-15749	119	13	a	a	DET
fcis-15749	119	14	new	new	ADJ
fcis-15749	119	15	architecture	architecture	NOUN
fcis-15749	119	16	for	for	ADP
fcis-15749	119	17	emulating	emulate	VERB
fcis-15749	119	18	cnn	cnn	PROPN
fcis-15749	119	19	with	with	ADP
fcis-15749	119	20	template	template	NOUN
fcis-15749	119	21	learning	learn	VERB
fcis-15749	119	22	on	on	ADP
fcis-15749	119	23	fpga	fpga	PROPN
fcis-15749	119	24	,	,	PUNCT
fcis-15749	119	25	“	"	PUNCT
fcis-15749	119	26	in	in	ADP
fcis-15749	119	27	cnna	cnna	NOUN
fcis-15749	119	28	,	,	PUNCT
fcis-15749	119	29	budapest	budapest	PROPN
fcis-15749	119	30	,	,	PUNCT
fcis-15749	119	31	hungary	hungary	PROPN
fcis-15749	119	32	,	,	PUNCT
fcis-15749	119	33	2018	2018	NUM
fcis-15749	119	34	.	.	PUNCT
fcis-15749	120	1	[	[	X
fcis-15749	120	2	8	8	NUM
fcis-15749	120	3	]	]	X
fcis-15749	120	4	gukzelis	gukzelis	PROPN
fcis-15749	120	5	,	,	PUNCT
fcis-15749	120	6	c.	c.	PROPN
fcis-15749	120	7	;	;	PUNCT
fcis-15749	120	8	karamamut	karamamut	PROPN
fcis-15749	120	9	,	,	PUNCT
fcis-15749	120	10	s.	s.	PROPN
fcis-15749	120	11	;	;	PUNCT
fcis-15749	120	12	and	and	CCONJ
fcis-15749	120	13	genc	genc	NOUN
fcis-15749	120	14	,	,	PUNCT
fcis-15749	120	15	i	i	PRON
fcis-15749	120	16	.(1999	.(1999	NUM
fcis-15749	120	17	)	)	PUNCT
fcis-15749	120	18	.	.	PUNCT
fcis-15749	121	1	a	a	DET
fcis-15749	121	2	recurrent	recurrent	ADJ
fcis-15749	121	3	perceptron	perceptron	PROPN
fcis-15749	121	4	learning	learn	VERB
fcis-15749	121	5	algorithm	algorithm	NOUN
fcis-15749	121	6	for	for	ADP
fcis-15749	121	7	cellular	cellular	ADJ
fcis-15749	121	8	neural	neural	ADJ
fcis-15749	121	9	networks	network	NOUN
fcis-15749	121	10	,	,	PUNCT
fcis-15749	121	11	springer	springer	NOUN
fcis-15749	121	12	-	-	PUNCT
fcis-15749	121	13	verlag	verlag	PROPN
fcis-15749	121	14	,	,	PUNCT
fcis-15749	121	15	bd	bd	PROPN
fcis-15749	121	16	.	.	PROPN
fcis-15749	121	17	51	51	NUM
fcis-15749	121	18	(	(	PUNCT
fcis-15749	121	19	1999	1999	NUM
fcis-15749	121	20	)	)	PUNCT
fcis-15749	121	21	,	,	PUNCT
fcis-15749	121	22	pp	pp	ADJ
fcis-15749	121	23	.	.	PUNCT
fcis-15749	122	1	296	296	NUM
fcis-15749	122	2	-	-	SYM
fcis-15749	122	3	309	309	NUM
fcis-15749	122	4	.	.	PUNCT
fcis-15749	123	1	[	[	X
fcis-15749	123	2	9	9	NUM
fcis-15749	123	3	]	]	X
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fcis-15749	123	10	„	„	PUNCT
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fcis-15749	123	14	:	:	PUNCT
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fcis-15749	123	16	,	,	PUNCT
fcis-15749	123	17	“	"	PUNCT
fcis-15749	123	18	ieee	ieee	NOUN
fcis-15749	123	19	transactions	transaction	NOUN
fcis-15749	123	20	on	on	ADP
fcis-15749	123	21	circuits	circuit	NOUN
fcis-15749	123	22	and	and	CCONJ
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fcis-15749	123	32	,	,	PUNCT
fcis-15749	123	33	pp	pp	ADJ
fcis-15749	123	34	.	.	PUNCT
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fcis-15749	123	36	-	-	SYM
fcis-15749	123	37	1272	1272	NUM
fcis-15749	123	38	,	,	PUNCT
fcis-15749	123	39	1988	1988	NUM
fcis-15749	123	40	.	.	PUNCT
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fcis-15749	124	3	]	]	PUNCT
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fcis-15749	124	6	,	,	PUNCT
fcis-15749	124	7	t.	t.	PROPN
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fcis-15749	125	18	,	,	PUNCT
fcis-15749	125	19	bd	bd	PROPN
fcis-15749	125	20	.	.	PROPN
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fcis-15749	126	2	-	-	SYM
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fcis-15749	126	4	,	,	PUNCT
fcis-15749	126	5	1993	1993	NUM
fcis-15749	126	6	.	.	PUNCT
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fcis-15749	127	14	„	„	PUNCT
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fcis-15749	127	23	“	"	PUNCT
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fcis-15749	127	29	de	de	PROPN
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fcis-15749	127	39	nr	nr	PROPN
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fcis-15749	127	42	,	,	PUNCT
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fcis-15749	127	44	.	.	PUNCT
fcis-15749	128	1	25	25	NUM
fcis-15749	128	2	-	-	SYM
fcis-15749	128	3	31	31	NUM
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fcis-15749	129	38	,	,	PUNCT
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fcis-15749	130	2	-	-	SYM
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fcis-15749	130	4	,	,	PUNCT
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fcis-15749	131	14	,	,	PUNCT
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fcis-15749	131	16	.	.	PUNCT
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fcis-15749	132	2	:	:	PUNCT
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fcis-15749	132	5	,	,	PUNCT
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fcis-15749	132	7	.	.	PUNCT
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fcis-15749	133	7	s.	s.	PROPN
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fcis-15749	133	9	,	,	PUNCT
fcis-15749	133	10	„	„	PUNCT
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fcis-15749	133	12	perceptron	perceptron	PROPN
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fcis-15749	133	18	cellular	cellular	ADJ
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fcis-15749	133	35	,	,	PUNCT
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fcis-15749	133	37	,	,	PUNCT
fcis-15749	133	38	1994	1994	NUM
fcis-15749	133	39	.	.	PUNCT