id	sid	tid	token	lemma	pos
fcis-31522	1	1	frontiers	frontier	NOUN
fcis-31522	1	2	in	in	ADP
fcis-31522	1	3	computing	computing	NOUN
fcis-31522	1	4	and	and	CCONJ
fcis-31522	1	5	intelligent	intelligent	ADJ
fcis-31522	1	6	systems	system	NOUN
fcis-31522	1	7	issn	issn	VERB
fcis-31522	1	8	:	:	PUNCT
fcis-31522	1	9	2832	2832	NUM
fcis-31522	1	10	-	-	SYM
fcis-31522	1	11	6024	6024	NUM
fcis-31522	1	12	|	|	NOUN
fcis-31522	1	13	vol	vol	NOUN
fcis-31522	1	14	.	.	PROPN
fcis-31522	2	1	13	13	NUM
fcis-31522	2	2	,	,	PUNCT
fcis-31522	2	3	no	no	INTJ
fcis-31522	2	4	.	.	NOUN
fcis-31522	2	5	2	2	NUM
fcis-31522	2	6	,	,	PUNCT
fcis-31522	2	7	2025	2025	NUM
fcis-31522	2	8	7	7	NUM
fcis-31522	2	9	optimization	optimization	NOUN
fcis-31522	2	10	of	of	ADP
fcis-31522	2	11	bp	bp	PROPN
fcis-31522	2	12	neural	neural	ADJ
fcis-31522	2	13	network	network	NOUN
fcis-31522	2	14	image	image	NOUN
fcis-31522	2	15	restoration	restoration	NOUN
fcis-31522	2	16	based	base	VERB
fcis-31522	2	17	on	on	ADP
fcis-31522	2	18	improved	improved	ADJ
fcis-31522	2	19	cuckoo	cuckoo	NOUN
fcis-31522	2	20	algorithm	algorithm	NOUN
fcis-31522	2	21	jianhong	jianhong	PROPN
fcis-31522	2	22	li	li	PROPN
fcis-31522	3	1	*	*	PROPN
fcis-31522	3	2	,	,	PUNCT
fcis-31522	3	3	yan	yan	PROPN
fcis-31522	3	4	liang	liang	PROPN
fcis-31522	3	5	and	and	CCONJ
fcis-31522	3	6	hui	hui	PROPN
fcis-31522	3	7	zheng	zheng	PROPN
fcis-31522	3	8	sichuan	sichuan	PROPN
fcis-31522	3	9	vocational	vocational	PROPN
fcis-31522	3	10	and	and	CCONJ
fcis-31522	3	11	technical	technical	PROPN
fcis-31522	3	12	college	college	NOUN
fcis-31522	3	13	,	,	PUNCT
fcis-31522	3	14	suining	suine	VERB
fcis-31522	3	15	sichuan	sichuan	PROPN
fcis-31522	3	16	,	,	PUNCT
fcis-31522	3	17	629000	629000	NUM
fcis-31522	3	18	,	,	PUNCT
fcis-31522	3	19	china	china	PROPN
fcis-31522	3	20	*	*	PUNCT
fcis-31522	3	21	corresponding	correspond	VERB
fcis-31522	3	22	author	author	NOUN
fcis-31522	3	23	:	:	PUNCT
fcis-31522	3	24	jianhong	jianhong	PROPN
fcis-31522	3	25	li	li	PROPN
fcis-31522	3	26	(	(	PUNCT
fcis-31522	3	27	email	email	NOUN
fcis-31522	3	28	:	:	PUNCT
fcis-31522	3	29	516331055@qq.com	516331055@qq.com	NUM
fcis-31522	3	30	)	)	PUNCT
fcis-31522	3	31	abstract	abstract	NOUN
fcis-31522	3	32	:	:	PUNCT
fcis-31522	3	33	to	to	PART
fcis-31522	3	34	address	address	VERB
fcis-31522	3	35	the	the	DET
fcis-31522	3	36	limitations	limitation	NOUN
fcis-31522	3	37	of	of	ADP
fcis-31522	3	38	bp	bp	PROPN
fcis-31522	3	39	neural	neural	ADJ
fcis-31522	3	40	networks	network	NOUN
fcis-31522	3	41	,	,	PUNCT
fcis-31522	3	42	such	such	ADJ
fcis-31522	3	43	as	as	ADP
fcis-31522	3	44	their	their	PRON
fcis-31522	3	45	sensitivity	sensitivity	NOUN
fcis-31522	3	46	to	to	ADP
fcis-31522	3	47	initial	initial	ADJ
fcis-31522	3	48	weights	weight	NOUN
fcis-31522	3	49	and	and	CCONJ
fcis-31522	3	50	thresholds	threshold	NOUN
fcis-31522	3	51	and	and	CCONJ
fcis-31522	3	52	their	their	PRON
fcis-31522	3	53	tendency	tendency	NOUN
fcis-31522	3	54	to	to	PART
fcis-31522	3	55	get	get	AUX
fcis-31522	3	56	stuck	stick	VERB
fcis-31522	3	57	in	in	ADP
fcis-31522	3	58	local	local	ADJ
fcis-31522	3	59	optima	optima	NOUN
fcis-31522	3	60	,	,	PUNCT
fcis-31522	3	61	this	this	DET
fcis-31522	3	62	paper	paper	NOUN
fcis-31522	3	63	uses	use	VERB
fcis-31522	3	64	the	the	DET
fcis-31522	3	65	cuckoo	cuckoo	NOUN
fcis-31522	3	66	algorithm	algorithm	NOUN
fcis-31522	3	67	to	to	PART
fcis-31522	3	68	search	search	VERB
fcis-31522	3	69	for	for	ADP
fcis-31522	3	70	the	the	DET
fcis-31522	3	71	initial	initial	ADJ
fcis-31522	3	72	weights	weight	NOUN
fcis-31522	3	73	and	and	CCONJ
fcis-31522	3	74	thresholds	threshold	NOUN
fcis-31522	3	75	of	of	ADP
fcis-31522	3	76	bp	bp	PROPN
fcis-31522	3	77	neural	neural	PROPN
fcis-31522	3	78	networks	network	NOUN
fcis-31522	3	79	,	,	PUNCT
fcis-31522	3	80	thereby	thereby	ADV
fcis-31522	3	81	eliminating	eliminate	VERB
fcis-31522	3	82	their	their	PRON
fcis-31522	3	83	dependence	dependence	NOUN
fcis-31522	3	84	on	on	ADP
fcis-31522	3	85	initial	initial	ADJ
fcis-31522	3	86	weights	weight	NOUN
fcis-31522	3	87	and	and	CCONJ
fcis-31522	3	88	thresholds	threshold	NOUN
fcis-31522	3	89	.	.	PUNCT
fcis-31522	4	1	improvements	improvement	NOUN
fcis-31522	4	2	were	be	AUX
fcis-31522	4	3	made	make	VERB
fcis-31522	4	4	to	to	ADP
fcis-31522	4	5	the	the	DET
fcis-31522	4	6	step	step	NOUN
fcis-31522	4	7	size	size	NOUN
fcis-31522	4	8	and	and	CCONJ
fcis-31522	4	9	discovery	discovery	NOUN
fcis-31522	4	10	probability	probability	NOUN
fcis-31522	4	11	of	of	ADP
fcis-31522	4	12	the	the	DET
fcis-31522	4	13	cuckoo	cuckoo	NOUN
fcis-31522	4	14	algorithm	algorithm	NOUN
fcis-31522	4	15	.	.	PUNCT
fcis-31522	5	1	the	the	DET
fcis-31522	5	2	improved	improve	VERB
fcis-31522	5	3	cuckoo	cuckoo	NOUN
fcis-31522	5	4	algorithm	algorithm	NOUN
fcis-31522	5	5	was	be	AUX
fcis-31522	5	6	used	use	VERB
fcis-31522	5	7	to	to	PART
fcis-31522	5	8	search	search	VERB
fcis-31522	5	9	for	for	ADP
fcis-31522	5	10	the	the	DET
fcis-31522	5	11	initial	initial	ADJ
fcis-31522	5	12	weights	weight	NOUN
fcis-31522	5	13	and	and	CCONJ
fcis-31522	5	14	thresholds	threshold	NOUN
fcis-31522	5	15	of	of	ADP
fcis-31522	5	16	the	the	DET
fcis-31522	5	17	bp	bp	PROPN
fcis-31522	5	18	neural	neural	ADJ
fcis-31522	5	19	network	network	NOUN
fcis-31522	5	20	,	,	PUNCT
fcis-31522	5	21	and	and	CCONJ
fcis-31522	5	22	the	the	DET
fcis-31522	5	23	optimized	optimize	VERB
fcis-31522	5	24	network	network	NOUN
fcis-31522	5	25	was	be	AUX
fcis-31522	5	26	applied	apply	VERB
fcis-31522	5	27	to	to	PART
fcis-31522	5	28	restore	restore	VERB
fcis-31522	5	29	the	the	DET
fcis-31522	5	30	lena	lena	ADJ
fcis-31522	5	31	image	image	NOUN
fcis-31522	5	32	.	.	PUNCT
fcis-31522	6	1	experimental	experimental	ADJ
fcis-31522	6	2	results	result	NOUN
fcis-31522	6	3	show	show	VERB
fcis-31522	6	4	that	that	SCONJ
fcis-31522	6	5	for	for	ADP
fcis-31522	6	6	the	the	DET
fcis-31522	6	7	lena	lena	PROPN
fcis-31522	6	8	image	image	NOUN
fcis-31522	6	9	,	,	PUNCT
fcis-31522	6	10	the	the	DET
fcis-31522	6	11	ics	ics	NOUN
fcis-31522	6	12	-	-	PUNCT
fcis-31522	6	13	bp	bp	PROPN
fcis-31522	6	14	neural	neural	ADJ
fcis-31522	6	15	network	network	NOUN
fcis-31522	6	16	achieves	achieve	VERB
fcis-31522	6	17	a	a	DET
fcis-31522	6	18	peak	peak	NOUN
fcis-31522	6	19	signal	signal	NOUN
fcis-31522	6	20	-	-	PUNCT
fcis-31522	6	21	to	to	ADP
fcis-31522	6	22	-	-	PUNCT
fcis-31522	6	23	noise	noise	NOUN
fcis-31522	6	24	ratio	ratio	NOUN
fcis-31522	6	25	(	(	PUNCT
fcis-31522	6	26	psnr	psnr	NOUN
fcis-31522	6	27	)	)	PUNCT
fcis-31522	6	28	that	that	PRON
fcis-31522	6	29	is	be	AUX
fcis-31522	6	30	4.83	4.83	NUM
fcis-31522	6	31	%	%	NOUN
fcis-31522	6	32	and	and	CCONJ
fcis-31522	6	33	3.53	3.53	NUM
fcis-31522	6	34	%	%	NOUN
fcis-31522	6	35	higher	high	ADJ
fcis-31522	6	36	than	than	ADP
fcis-31522	6	37	the	the	DET
fcis-31522	6	38	bp	bp	PROPN
fcis-31522	6	39	neural	neural	ADJ
fcis-31522	6	40	network	network	NOUN
fcis-31522	6	41	and	and	CCONJ
fcis-31522	6	42	pso	pso	NOUN
fcis-31522	6	43	-	-	PUNCT
fcis-31522	6	44	bp	bp	PROPN
fcis-31522	6	45	neural	neural	ADJ
fcis-31522	6	46	network	network	NOUN
fcis-31522	6	47	,	,	PUNCT
fcis-31522	6	48	respectively	respectively	ADV
fcis-31522	6	49	,	,	PUNCT
fcis-31522	6	50	and	and	CCONJ
fcis-31522	6	51	a	a	DET
fcis-31522	6	52	structural	structural	ADJ
fcis-31522	6	53	similarity	similarity	NOUN
fcis-31522	6	54	(	(	PUNCT
fcis-31522	6	55	ssim	ssim	NOUN
fcis-31522	6	56	)	)	PUNCT
fcis-31522	6	57	that	that	PRON
fcis-31522	6	58	is	be	AUX
fcis-31522	6	59	1.62	1.62	NUM
fcis-31522	6	60	%	%	NOUN
fcis-31522	6	61	and	and	CCONJ
fcis-31522	6	62	0.67	0.67	NUM
fcis-31522	6	63	%	%	NOUN
fcis-31522	6	64	higher	high	ADJ
fcis-31522	6	65	than	than	ADP
fcis-31522	6	66	the	the	DET
fcis-31522	6	67	bp	bp	PROPN
fcis-31522	6	68	neural	neural	ADJ
fcis-31522	6	69	network	network	NOUN
fcis-31522	6	70	and	and	CCONJ
fcis-31522	6	71	pso	pso	NOUN
fcis-31522	6	72	-	-	PUNCT
fcis-31522	6	73	bp	bp	PROPN
fcis-31522	6	74	neural	neural	ADJ
fcis-31522	6	75	network	network	NOUN
fcis-31522	6	76	,	,	PUNCT
fcis-31522	6	77	respectively	respectively	ADV
fcis-31522	6	78	,	,	PUNCT
fcis-31522	6	79	indicating	indicate	VERB
fcis-31522	6	80	that	that	SCONJ
fcis-31522	6	81	the	the	DET
fcis-31522	6	82	optimized	optimize	VERB
fcis-31522	6	83	bp	bp	PROPN
fcis-31522	6	84	neural	neural	ADJ
fcis-31522	6	85	network	network	NOUN
fcis-31522	6	86	achieves	achieve	VERB
fcis-31522	6	87	better	well	ADJ
fcis-31522	6	88	image	image	NOUN
fcis-31522	6	89	restoration	restoration	NOUN
fcis-31522	6	90	performance	performance	NOUN
fcis-31522	6	91	.	.	PUNCT
fcis-31522	7	1	additionally	additionally	ADV
fcis-31522	7	2	,	,	PUNCT
fcis-31522	7	3	the	the	DET
fcis-31522	7	4	ics	ics	NOUN
fcis-31522	7	5	-	-	PUNCT
fcis-31522	7	6	bp	bp	NOUN
fcis-31522	7	7	converged	converge	VERB
fcis-31522	7	8	after	after	ADP
fcis-31522	7	9	35	35	NUM
fcis-31522	7	10	iterations	iteration	NOUN
fcis-31522	7	11	,	,	PUNCT
fcis-31522	7	12	which	which	PRON
fcis-31522	7	13	is	be	AUX
fcis-31522	7	14	faster	fast	ADJ
fcis-31522	7	15	than	than	ADP
fcis-31522	7	16	the	the	DET
fcis-31522	7	17	bp	bp	PROPN
fcis-31522	7	18	neural	neural	ADJ
fcis-31522	7	19	network	network	NOUN
fcis-31522	7	20	(	(	PUNCT
fcis-31522	7	21	137	137	NUM
fcis-31522	7	22	iterations	iteration	NOUN
fcis-31522	7	23	)	)	PUNCT
fcis-31522	7	24	and	and	CCONJ
fcis-31522	7	25	the	the	DET
fcis-31522	7	26	pso	pso	NOUN
fcis-31522	7	27	-	-	PUNCT
fcis-31522	7	28	bp	bp	PROPN
fcis-31522	7	29	neural	neural	ADJ
fcis-31522	7	30	network	network	NOUN
fcis-31522	7	31	(	(	PUNCT
fcis-31522	7	32	81	81	NUM
fcis-31522	7	33	iterations	iteration	NOUN
fcis-31522	7	34	)	)	PUNCT
fcis-31522	7	35	,	,	PUNCT
fcis-31522	7	36	thereby	thereby	ADV
fcis-31522	7	37	improving	improve	VERB
fcis-31522	7	38	efficiency	efficiency	NOUN
fcis-31522	7	39	.	.	PUNCT
fcis-31522	8	1	keywords	keyword	NOUN
fcis-31522	8	2	:	:	PUNCT
fcis-31522	8	3	image	image	NOUN
fcis-31522	8	4	restoration	restoration	NOUN
fcis-31522	8	5	;	;	PUNCT
fcis-31522	8	6	intelligent	intelligent	ADJ
fcis-31522	8	7	optimization	optimization	NOUN
fcis-31522	8	8	algorithm	algorithm	NOUN
fcis-31522	8	9	;	;	PUNCT
fcis-31522	8	10	bp	bp	PROPN
fcis-31522	8	11	neural	neural	ADJ
fcis-31522	8	12	network	network	NOUN
fcis-31522	8	13	.	.	PUNCT
fcis-31522	9	1	1	1	X
fcis-31522	9	2	.	.	X
fcis-31522	9	3	introduction	introduction	NOUN
fcis-31522	9	4	humans	human	NOUN
fcis-31522	9	5	primarily	primarily	ADV
fcis-31522	9	6	obtain	obtain	VERB
fcis-31522	9	7	important	important	ADJ
fcis-31522	9	8	information	information	NOUN
fcis-31522	9	9	through	through	ADP
fcis-31522	9	10	vision	vision	NOUN
fcis-31522	9	11	.	.	PUNCT
fcis-31522	10	1	in	in	ADP
fcis-31522	10	2	the	the	DET
fcis-31522	10	3	environment	environment	NOUN
fcis-31522	10	4	in	in	ADP
fcis-31522	10	5	which	which	PRON
fcis-31522	10	6	we	we	PRON
fcis-31522	10	7	live	live	VERB
fcis-31522	10	8	,	,	PUNCT
fcis-31522	10	9	we	we	PRON
fcis-31522	10	10	encounter	encounter	VERB
fcis-31522	10	11	many	many	ADJ
fcis-31522	10	12	unexpected	unexpected	ADJ
fcis-31522	10	13	situations	situation	NOUN
fcis-31522	10	14	and	and	CCONJ
fcis-31522	10	15	uncontrollable	uncontrollable	ADJ
fcis-31522	10	16	factors	factor	NOUN
fcis-31522	10	17	that	that	PRON
fcis-31522	10	18	can	can	AUX
fcis-31522	10	19	degrade	degrade	VERB
fcis-31522	10	20	image	image	NOUN
fcis-31522	10	21	quality	quality	NOUN
fcis-31522	10	22	during	during	ADP
fcis-31522	10	23	generation[1	generation[1	PROPN
fcis-31522	10	24	]	]	PUNCT
fcis-31522	10	25	,	,	PUNCT
fcis-31522	10	26	storage	storage	NOUN
fcis-31522	10	27	,	,	PUNCT
fcis-31522	10	28	and	and	CCONJ
fcis-31522	10	29	transmission	transmission	NOUN
fcis-31522	10	30	,	,	PUNCT
fcis-31522	10	31	significantly	significantly	ADV
fcis-31522	10	32	impacting	impact	VERB
fcis-31522	10	33	our	our	PRON
fcis-31522	10	34	use	use	NOUN
fcis-31522	10	35	of	of	ADP
fcis-31522	10	36	images	image	NOUN
fcis-31522	10	37	.	.	PUNCT
fcis-31522	11	1	in	in	ADP
fcis-31522	11	2	many	many	ADJ
fcis-31522	11	3	fields	field	NOUN
fcis-31522	11	4	,	,	PUNCT
fcis-31522	11	5	such	such	ADJ
fcis-31522	11	6	as	as	ADP
fcis-31522	11	7	aerospace	aerospace	NOUN
fcis-31522	11	8	,	,	PUNCT
fcis-31522	11	9	industry	industry	NOUN
fcis-31522	11	10	,	,	PUNCT
fcis-31522	11	11	manufacturing	manufacturing	NOUN
fcis-31522	11	12	,	,	PUNCT
fcis-31522	11	13	and	and	CCONJ
fcis-31522	11	14	science	science	NOUN
fcis-31522	11	15	,	,	PUNCT
fcis-31522	11	16	there	there	PRON
fcis-31522	11	17	are	be	VERB
fcis-31522	11	18	high	high	ADJ
fcis-31522	11	19	requirements	requirement	NOUN
fcis-31522	11	20	for	for	ADP
fcis-31522	11	21	image	image	NOUN
fcis-31522	11	22	quality	quality	NOUN
fcis-31522	11	23	.	.	PUNCT
fcis-31522	12	1	therefore	therefore	ADV
fcis-31522	12	2	,	,	PUNCT
fcis-31522	12	3	research	research	NOUN
fcis-31522	12	4	into	into	ADP
fcis-31522	12	5	image	image	NOUN
fcis-31522	12	6	restoration	restoration	NOUN
fcis-31522	12	7	methods	method	NOUN
fcis-31522	12	8	holds	hold	VERB
fcis-31522	12	9	significant	significant	ADJ
fcis-31522	12	10	value	value	NOUN
fcis-31522	12	11	.	.	PUNCT
fcis-31522	13	1	the	the	DET
fcis-31522	13	2	greatest	great	ADJ
fcis-31522	13	3	challenge	challenge	NOUN
fcis-31522	13	4	in	in	ADP
fcis-31522	13	5	image	image	NOUN
fcis-31522	13	6	restoration	restoration	NOUN
fcis-31522	13	7	lies	lie	VERB
fcis-31522	13	8	in	in	ADP
fcis-31522	13	9	the	the	DET
fcis-31522	13	10	incorrect	incorrect	ADJ
fcis-31522	13	11	understanding	understanding	NOUN
fcis-31522	13	12	of	of	ADP
fcis-31522	13	13	prior	prior	ADJ
fcis-31522	13	14	knowledge	knowledge	NOUN
fcis-31522	13	15	regarding	regard	VERB
fcis-31522	13	16	the	the	DET
fcis-31522	13	17	degradation	degradation	NOUN
fcis-31522	13	18	process	process	NOUN
fcis-31522	13	19	.	.	PUNCT
fcis-31522	14	1	in	in	ADP
fcis-31522	14	2	real	real	ADJ
fcis-31522	14	3	-	-	PUNCT
fcis-31522	14	4	world	world	NOUN
fcis-31522	14	5	image	image	NOUN
fcis-31522	14	6	processing	processing	NOUN
fcis-31522	14	7	,	,	PUNCT
fcis-31522	14	8	much	much	ADJ
fcis-31522	14	9	of	of	ADP
fcis-31522	14	10	the	the	DET
fcis-31522	14	11	prior	prior	ADJ
fcis-31522	14	12	knowledge	knowledge	NOUN
fcis-31522	14	13	is	be	AUX
fcis-31522	14	14	unknown[2	unknown[2	NOUN
fcis-31522	14	15	]	]	X
fcis-31522	14	16	,	,	PUNCT
fcis-31522	14	17	and	and	CCONJ
fcis-31522	14	18	obtaining	obtain	VERB
fcis-31522	14	19	such	such	ADJ
fcis-31522	14	20	knowledge	knowledge	NOUN
fcis-31522	14	21	is	be	AUX
fcis-31522	14	22	extremely	extremely	ADV
fcis-31522	14	23	difficult	difficult	ADJ
fcis-31522	14	24	,	,	PUNCT
fcis-31522	14	25	with	with	ADP
fcis-31522	14	26	some	some	DET
fcis-31522	14	27	cases	case	NOUN
fcis-31522	14	28	even	even	ADV
fcis-31522	14	29	impossible	impossible	ADJ
fcis-31522	14	30	to	to	PART
fcis-31522	14	31	achieve	achieve	VERB
fcis-31522	14	32	.	.	PUNCT
fcis-31522	15	1	as	as	ADP
fcis-31522	15	2	a	a	DET
fcis-31522	15	3	result	result	NOUN
fcis-31522	15	4	,	,	PUNCT
fcis-31522	15	5	traditional	traditional	ADJ
fcis-31522	15	6	methods	method	NOUN
fcis-31522	15	7	are	be	AUX
fcis-31522	15	8	no	no	ADV
fcis-31522	15	9	longer	long	ADV
fcis-31522	15	10	sufficient	sufficient	ADJ
fcis-31522	15	11	to	to	PART
fcis-31522	15	12	meet	meet	VERB
fcis-31522	15	13	current	current	ADJ
fcis-31522	15	14	needs	need	NOUN
fcis-31522	15	15	.	.	PUNCT
fcis-31522	16	1	backpropagation	backpropagation	NOUN
fcis-31522	16	2	(	(	PUNCT
fcis-31522	16	3	bp	bp	PROPN
fcis-31522	16	4	)	)	PUNCT
fcis-31522	16	5	neural	neural	ADJ
fcis-31522	16	6	networks	network	NOUN
fcis-31522	16	7	offer	offer	VERB
fcis-31522	16	8	numerous	numerous	ADJ
fcis-31522	16	9	advantages	advantage	NOUN
fcis-31522	16	10	over	over	ADP
fcis-31522	16	11	traditional	traditional	ADJ
fcis-31522	16	12	methods	method	NOUN
fcis-31522	16	13	,	,	PUNCT
fcis-31522	16	14	such	such	ADJ
fcis-31522	16	15	as	as	ADP
fcis-31522	16	16	autonomous	autonomous	ADJ
fcis-31522	16	17	learning	learning	NOUN
fcis-31522	16	18	capabilities[3	capabilities[3	NOUN
fcis-31522	16	19	]	]	PUNCT
fcis-31522	16	20	,	,	PUNCT
fcis-31522	16	21	adaptability	adaptability	NOUN
fcis-31522	16	22	,	,	PUNCT
fcis-31522	16	23	parallel	parallel	ADJ
fcis-31522	16	24	processing	processing	NOUN
fcis-31522	16	25	,	,	PUNCT
fcis-31522	16	26	and	and	CCONJ
fcis-31522	16	27	robust	robust	ADJ
fcis-31522	16	28	performance	performance	NOUN
fcis-31522	16	29	.	.	PUNCT
fcis-31522	17	1	applying	apply	VERB
fcis-31522	17	2	bp	bp	PROPN
fcis-31522	17	3	neural	neural	ADJ
fcis-31522	17	4	networks	network	NOUN
fcis-31522	17	5	to	to	ADP
fcis-31522	17	6	image	image	NOUN
fcis-31522	17	7	restoration	restoration	NOUN
fcis-31522	17	8	problems	problem	NOUN
fcis-31522	17	9	holds	hold	VERB
fcis-31522	17	10	significant	significant	ADJ
fcis-31522	17	11	potential	potential	NOUN
fcis-31522	17	12	and	and	CCONJ
fcis-31522	17	13	promise	promise	NOUN
fcis-31522	17	14	for	for	ADP
fcis-31522	17	15	future	future	ADJ
fcis-31522	17	16	development	development	NOUN
fcis-31522	17	17	.	.	PUNCT
fcis-31522	18	1	in	in	ADP
fcis-31522	18	2	2006[4	2006[4	NUM
fcis-31522	18	3	]	]	X
fcis-31522	18	4	wang	wang	PROPN
fcis-31522	18	5	hui	hui	PROPN
fcis-31522	18	6	et	et	PROPN
fcis-31522	18	7	al	al	PROPN
fcis-31522	18	8	.	.	PROPN
fcis-31522	19	1	from	from	ADP
fcis-31522	19	2	shanghai	shanghai	PROPN
fcis-31522	19	3	jiao	jiao	PROPN
fcis-31522	19	4	tong	tong	PROPN
fcis-31522	19	5	university	university	PROPN
fcis-31522	19	6	proposed	propose	VERB
fcis-31522	19	7	a	a	DET
fcis-31522	19	8	neural	neural	ADJ
fcis-31522	19	9	networkbased	networkbase	VERB
fcis-31522	19	10	image	image	NOUN
fcis-31522	19	11	restoration	restoration	NOUN
fcis-31522	19	12	algorithm	algorithm	NOUN
fcis-31522	19	13	.	.	PUNCT
fcis-31522	20	1	this	this	DET
fcis-31522	20	2	algorithm	algorithm	NOUN
fcis-31522	20	3	obtains	obtain	VERB
fcis-31522	20	4	an	an	DET
fcis-31522	20	5	input	input	NOUN
fcis-31522	20	6	set	set	VERB
fcis-31522	20	7	by	by	ADP
fcis-31522	20	8	sampling	sample	VERB
fcis-31522	20	9	the	the	DET
fcis-31522	20	10	inner	inner	ADJ
fcis-31522	20	11	edges	edge	NOUN
fcis-31522	20	12	and	and	CCONJ
fcis-31522	20	13	flat	flat	ADJ
fcis-31522	20	14	regions	region	NOUN
fcis-31522	20	15	of	of	ADP
fcis-31522	20	16	an	an	DET
fcis-31522	20	17	image	image	NOUN
fcis-31522	20	18	using	use	VERB
fcis-31522	20	19	a	a	DET
fcis-31522	20	20	sliding	slide	VERB
fcis-31522	20	21	window	window	NOUN
fcis-31522	20	22	,	,	PUNCT
fcis-31522	20	23	and	and	CCONJ
fcis-31522	20	24	then	then	ADV
fcis-31522	20	25	restores	restore	VERB
fcis-31522	20	26	the	the	DET
fcis-31522	20	27	image	image	NOUN
fcis-31522	20	28	using	use	VERB
fcis-31522	20	29	a	a	DET
fcis-31522	20	30	bp	bp	PROPN
fcis-31522	20	31	neural	neural	ADJ
fcis-31522	20	32	network	network	NOUN
fcis-31522	20	33	,	,	PUNCT
fcis-31522	20	34	achieving	achieve	VERB
fcis-31522	20	35	certain	certain	ADJ
fcis-31522	20	36	results	result	NOUN
fcis-31522	20	37	.	.	PUNCT
fcis-31522	21	1	in	in	ADP
fcis-31522	21	2	2019	2019	NUM
fcis-31522	21	3	,	,	PUNCT
fcis-31522	21	4	xue	xue	PROPN
fcis-31522	21	5	hz	hz	VERB
fcis-31522	21	6	et	et	PROPN
fcis-31522	21	7	al	al	PROPN
fcis-31522	21	8	.	.	PROPN
fcis-31522	21	9	proposed	propose	VERB
fcis-31522	21	10	an	an	DET
fcis-31522	21	11	image	image	NOUN
fcis-31522	21	12	restoration	restoration	NOUN
fcis-31522	21	13	method	method	NOUN
fcis-31522	21	14	based	base	VERB
fcis-31522	21	15	on	on	ADP
fcis-31522	21	16	a	a	DET
fcis-31522	21	17	bp	bp	PROPN
fcis-31522	21	18	neural	neural	PROPN
fcis-31522	21	19	network[5	network[5	PROPN
fcis-31522	21	20	]	]	PUNCT
fcis-31522	21	21	,	,	PUNCT
fcis-31522	21	22	primarily	primarily	ADV
fcis-31522	21	23	establishing	establish	VERB
fcis-31522	21	24	an	an	DET
fcis-31522	21	25	image	image	NOUN
fcis-31522	21	26	restoration	restoration	NOUN
fcis-31522	21	27	model	model	NOUN
fcis-31522	21	28	based	base	VERB
fcis-31522	21	29	on	on	ADP
fcis-31522	21	30	a	a	DET
fcis-31522	21	31	bp	bp	PROPN
fcis-31522	21	32	neural	neural	ADJ
fcis-31522	21	33	network	network	NOUN
fcis-31522	21	34	.	.	PUNCT
fcis-31522	22	1	experimental	experimental	ADJ
fcis-31522	22	2	results	result	NOUN
fcis-31522	22	3	indicate	indicate	VERB
fcis-31522	22	4	that	that	SCONJ
fcis-31522	22	5	,	,	PUNCT
fcis-31522	22	6	compared	compare	VERB
fcis-31522	22	7	to	to	ADP
fcis-31522	22	8	traditional	traditional	ADJ
fcis-31522	22	9	methods	method	NOUN
fcis-31522	22	10	,	,	PUNCT
fcis-31522	22	11	the	the	DET
fcis-31522	22	12	image	image	NOUN
fcis-31522	22	13	restoration	restoration	NOUN
fcis-31522	22	14	performance	performance	NOUN
fcis-31522	22	15	has	have	AUX
fcis-31522	22	16	improved	improve	VERB
fcis-31522	22	17	to	to	ADP
fcis-31522	22	18	some	some	DET
fcis-31522	22	19	extent	extent	NOUN
fcis-31522	22	20	.	.	PUNCT
fcis-31522	23	1	however	however	ADV
fcis-31522	23	2	,	,	PUNCT
fcis-31522	23	3	this	this	DET
fcis-31522	23	4	method	method	NOUN
fcis-31522	23	5	also	also	ADV
fcis-31522	23	6	has	have	VERB
fcis-31522	23	7	certain	certain	ADJ
fcis-31522	23	8	limitations	limitation	NOUN
fcis-31522	23	9	.	.	PUNCT
fcis-31522	24	1	the	the	DET
fcis-31522	24	2	bp	bp	PROPN
fcis-31522	24	3	neural	neural	PROPN
fcis-31522	24	4	network	network	NOUN
fcis-31522	24	5	is	be	AUX
fcis-31522	24	6	highly	highly	ADV
fcis-31522	24	7	sensitive	sensitive	ADJ
fcis-31522	24	8	to	to	ADP
fcis-31522	24	9	initial	initial	ADJ
fcis-31522	24	10	weights	weight	NOUN
fcis-31522	24	11	and	and	CCONJ
fcis-31522	24	12	threshold	threshold	NOUN
fcis-31522	24	13	values[6	values[6	PRON
fcis-31522	24	14	]	]	PUNCT
fcis-31522	24	15	,	,	PUNCT
fcis-31522	24	16	and	and	CCONJ
fcis-31522	24	17	these	these	DET
fcis-31522	24	18	initial	initial	ADJ
fcis-31522	24	19	values	value	NOUN
fcis-31522	24	20	are	be	AUX
fcis-31522	24	21	randomly	randomly	ADV
fcis-31522	24	22	generated	generate	VERB
fcis-31522	24	23	.	.	PUNCT
fcis-31522	25	1	this	this	PRON
fcis-31522	25	2	can	can	AUX
fcis-31522	25	3	lead	lead	VERB
fcis-31522	25	4	to	to	ADP
fcis-31522	25	5	excessive	excessive	ADJ
fcis-31522	25	6	iterations	iteration	NOUN
fcis-31522	25	7	during	during	ADP
fcis-31522	25	8	training	training	NOUN
fcis-31522	25	9	,	,	PUNCT
fcis-31522	25	10	making	make	VERB
fcis-31522	25	11	convergence	convergence	NOUN
fcis-31522	25	12	difficult	difficult	ADJ
fcis-31522	25	13	or	or	CCONJ
fcis-31522	25	14	even	even	ADV
fcis-31522	25	15	impossible	impossible	ADJ
fcis-31522	25	16	.	.	PUNCT
fcis-31522	26	1	additionally	additionally	ADV
fcis-31522	26	2	,	,	PUNCT
fcis-31522	26	3	each	each	DET
fcis-31522	26	4	training	training	NOUN
fcis-31522	26	5	result	result	NOUN
fcis-31522	26	6	is	be	AUX
fcis-31522	26	7	inconsistent	inconsistent	ADJ
fcis-31522	26	8	,	,	PUNCT
fcis-31522	26	9	leading	lead	VERB
fcis-31522	26	10	to	to	ADP
fcis-31522	26	11	increased	increase	VERB
fcis-31522	26	12	errors	error	NOUN
fcis-31522	26	13	and	and	CCONJ
fcis-31522	26	14	potentially	potentially	ADV
fcis-31522	26	15	getting	get	VERB
fcis-31522	26	16	stuck	stick	VERB
fcis-31522	26	17	in	in	ADP
fcis-31522	26	18	a	a	DET
fcis-31522	26	19	local	local	ADJ
fcis-31522	26	20	optimum	optimum	NOUN
fcis-31522	26	21	.	.	PUNCT
fcis-31522	27	1	therefore	therefore	ADV
fcis-31522	27	2	,	,	PUNCT
fcis-31522	27	3	an	an	DET
fcis-31522	27	4	intelligent	intelligent	ADJ
fcis-31522	27	5	optimization	optimization	NOUN
fcis-31522	27	6	algorithm	algorithm	NOUN
fcis-31522	27	7	is	be	AUX
fcis-31522	27	8	used	use	VERB
fcis-31522	27	9	to	to	PART
fcis-31522	27	10	optimize	optimize	VERB
fcis-31522	27	11	the	the	DET
fcis-31522	27	12	initial	initial	ADJ
fcis-31522	27	13	weights	weight	NOUN
fcis-31522	27	14	and	and	CCONJ
fcis-31522	27	15	threshold	threshold	NOUN
fcis-31522	27	16	values	value	NOUN
fcis-31522	27	17	of	of	ADP
fcis-31522	27	18	the	the	DET
fcis-31522	27	19	bp	bp	PROPN
fcis-31522	27	20	neural	neural	ADJ
fcis-31522	27	21	network.[7	network.[7	NOUN
fcis-31522	27	22	]	]	X
fcis-31522	27	23	the	the	DET
fcis-31522	27	24	optimized	optimize	VERB
fcis-31522	27	25	weights	weight	NOUN
fcis-31522	27	26	and	and	CCONJ
fcis-31522	27	27	threshold	threshold	NOUN
fcis-31522	27	28	values	value	NOUN
fcis-31522	27	29	are	be	AUX
fcis-31522	27	30	then	then	ADV
fcis-31522	27	31	assigned	assign	VERB
fcis-31522	27	32	to	to	ADP
fcis-31522	27	33	the	the	DET
fcis-31522	27	34	bp	bp	PROPN
fcis-31522	27	35	neural	neural	ADJ
fcis-31522	27	36	network	network	NOUN
fcis-31522	27	37	for	for	ADP
fcis-31522	27	38	training	training	NOUN
fcis-31522	27	39	,	,	PUNCT
fcis-31522	27	40	and	and	CCONJ
fcis-31522	27	41	the	the	DET
fcis-31522	27	42	trained	train	VERB
fcis-31522	27	43	network	network	NOUN
fcis-31522	27	44	is	be	AUX
fcis-31522	27	45	finally	finally	ADV
fcis-31522	27	46	used	use	VERB
fcis-31522	27	47	for	for	ADP
fcis-31522	27	48	image	image	NOUN
fcis-31522	27	49	restoration	restoration	NOUN
fcis-31522	27	50	.	.	PUNCT
fcis-31522	28	1	this	this	DET
fcis-31522	28	2	method	method	NOUN
fcis-31522	28	3	can	can	AUX
fcis-31522	28	4	address	address	VERB
fcis-31522	28	5	many	many	ADJ
fcis-31522	28	6	issues	issue	NOUN
fcis-31522	28	7	that	that	SCONJ
fcis-31522	28	8	traditional	traditional	ADJ
fcis-31522	28	9	methods	method	NOUN
fcis-31522	28	10	struggle	struggle	VERB
fcis-31522	28	11	with	with	ADP
fcis-31522	28	12	or	or	CCONJ
fcis-31522	28	13	can	can	AUX
fcis-31522	28	14	not	not	PART
fcis-31522	28	15	resolve	resolve	VERB
fcis-31522	28	16	,	,	PUNCT
fcis-31522	28	17	while	while	SCONJ
fcis-31522	28	18	also	also	ADV
fcis-31522	28	19	addressing	address	VERB
fcis-31522	28	20	problems	problem	NOUN
fcis-31522	28	21	such	such	ADJ
fcis-31522	28	22	as	as	ADP
fcis-31522	28	23	slow	slow	ADJ
fcis-31522	28	24	convergence[8	convergence[8	NOUN
fcis-31522	28	25	]	]	PUNCT
fcis-31522	28	26	,	,	PUNCT
fcis-31522	28	27	susceptibility	susceptibility	NOUN
fcis-31522	28	28	to	to	ADP
fcis-31522	28	29	local	local	ADJ
fcis-31522	28	30	optima	optima	NOUN
fcis-31522	28	31	,	,	PUNCT
fcis-31522	28	32	and	and	CCONJ
fcis-31522	28	33	high	high	ADJ
fcis-31522	28	34	error	error	NOUN
fcis-31522	28	35	rates	rate	NOUN
fcis-31522	28	36	in	in	ADP
fcis-31522	28	37	bp	bp	PROPN
fcis-31522	28	38	neural	neural	ADJ
fcis-31522	28	39	networks	network	NOUN
fcis-31522	28	40	.	.	PUNCT
fcis-31522	29	1	it	it	PRON
fcis-31522	29	2	provides	provide	VERB
fcis-31522	29	3	new	new	ADJ
fcis-31522	29	4	directions	direction	NOUN
fcis-31522	29	5	and	and	CCONJ
fcis-31522	29	6	perspectives	perspective	NOUN
fcis-31522	29	7	for	for	ADP
fcis-31522	29	8	image	image	NOUN
fcis-31522	29	9	restoration	restoration	NOUN
fcis-31522	29	10	methods	method	NOUN
fcis-31522	29	11	,	,	PUNCT
fcis-31522	29	12	facilitating	facilitate	VERB
fcis-31522	29	13	their	their	PRON
fcis-31522	29	14	widespread	widespread	ADJ
fcis-31522	29	15	application	application	NOUN
fcis-31522	29	16	across	across	ADP
fcis-31522	29	17	various	various	ADJ
fcis-31522	29	18	fields	field	NOUN
fcis-31522	29	19	.	.	PUNCT
fcis-31522	30	1	2	2	X
fcis-31522	30	2	.	.	X
fcis-31522	30	3	cuckoo	cuckoo	NOUN
fcis-31522	30	4	algorithm	algorithm	NOUN
fcis-31522	30	5	2.1	2.1	NUM
fcis-31522	30	6	.	.	PUNCT
fcis-31522	31	1	original	original	ADJ
fcis-31522	31	2	cuckoo	cuckoo	NOUN
fcis-31522	31	3	algorithm	algorithm	NOUN
fcis-31522	31	4	table	table	NOUN
fcis-31522	31	5	1	1	NUM
fcis-31522	31	6	.	.	PUNCT
fcis-31522	32	1	cuckoo	cuckoo	NOUN
fcis-31522	32	2	algorithm	algorithm	NOUN
fcis-31522	32	3	rules	rule	VERB
fcis-31522	32	4	1.all	1.all	ADJ
fcis-31522	32	5	cuckoos	cuckoo	NOUN
fcis-31522	32	6	in	in	ADP
fcis-31522	32	7	the	the	DET
fcis-31522	32	8	population	population	NOUN
fcis-31522	32	9	lay	lie	VERB
fcis-31522	32	10	only	only	ADV
fcis-31522	32	11	one	one	NUM
fcis-31522	32	12	egg	egg	NOUN
fcis-31522	32	13	at	at	ADP
fcis-31522	32	14	a	a	DET
fcis-31522	32	15	time	time	NOUN
fcis-31522	32	16	and	and	CCONJ
fcis-31522	32	17	place	place	NOUN
fcis-31522	32	18	it	it	PRON
fcis-31522	32	19	randomly	randomly	ADV
fcis-31522	32	20	in	in	ADP
fcis-31522	32	21	a	a	DET
fcis-31522	32	22	nest	nest	NOUN
fcis-31522	32	23	;	;	PUNCT
fcis-31522	32	24	2.in	2.in	NUM
fcis-31522	32	25	order	order	NOUN
fcis-31522	32	26	to	to	PART
fcis-31522	32	27	maintain	maintain	VERB
fcis-31522	32	28	the	the	DET
fcis-31522	32	29	population	population	NOUN
fcis-31522	32	30	and	and	CCONJ
fcis-31522	32	31	prevent	prevent	VERB
fcis-31522	32	32	degeneration	degeneration	NOUN
fcis-31522	32	33	,	,	PUNCT
fcis-31522	32	34	the	the	DET
fcis-31522	32	35	optimal	optimal	ADJ
fcis-31522	32	36	cuckoo	cuckoo	NOUN
fcis-31522	32	37	individuals	individual	NOUN
fcis-31522	32	38	will	will	AUX
fcis-31522	32	39	remain	remain	VERB
fcis-31522	32	40	unchanged	unchanged	ADJ
fcis-31522	32	41	;	;	PUNCT
fcis-31522	32	42	3.the	3.the	DET
fcis-31522	32	43	population	population	NOUN
fcis-31522	32	44	size	size	NOUN
fcis-31522	32	45	is	be	AUX
fcis-31522	32	46	fixed	fix	VERB
fcis-31522	32	47	,	,	PUNCT
fcis-31522	32	48	and	and	CCONJ
fcis-31522	32	49	the	the	DET
fcis-31522	32	50	probability	probability	NOUN
fcis-31522	32	51	of	of	ADP
fcis-31522	32	52	the	the	DET
fcis-31522	32	53	host	host	NOUN
fcis-31522	32	54	bird	bird	NOUN
fcis-31522	32	55	discovering	discover	VERB
fcis-31522	32	56	the	the	DET
fcis-31522	32	57	cuckoo	cuckoo	NOUN
fcis-31522	32	58	's	's	PART
fcis-31522	32	59	egg	egg	NOUN
fcis-31522	32	60	is	be	AUX
fcis-31522	32	61			ADJ
fcis-31522	32	62	0,1ap	0,1ap	ADJ
fcis-31522	32	63			NOUN
fcis-31522	32	64	.	.	PUNCT
fcis-31522	33	1	in	in	ADP
fcis-31522	33	2	nature	nature	NOUN
fcis-31522	33	3	,	,	PUNCT
fcis-31522	33	4	there	there	PRON
fcis-31522	33	5	is	be	VERB
fcis-31522	33	6	a	a	DET
fcis-31522	33	7	bird	bird	NOUN
fcis-31522	33	8	called	call	VERB
fcis-31522	33	9	the	the	DET
fcis-31522	33	10	cuckoo	cuckoo	NOUN
fcis-31522	33	11	,	,	PUNCT
fcis-31522	33	12	which	which	PRON
fcis-31522	33	13	seems	seem	VERB
fcis-31522	33	14	to	to	PART
fcis-31522	33	15	lack	lack	VERB
fcis-31522	33	16	maternal	maternal	ADJ
fcis-31522	33	17	instincts	instinct	NOUN
fcis-31522	33	18	.	.	PUNCT
fcis-31522	34	1	it	it	PRON
fcis-31522	34	2	does	do	AUX
fcis-31522	34	3	not	not	PART
fcis-31522	34	4	build	build	VERB
fcis-31522	34	5	its	its	PRON
fcis-31522	34	6	own	own	ADJ
fcis-31522	34	7	nest	nest	NOUN
fcis-31522	34	8	nor	nor	CCONJ
fcis-31522	34	9	raise	raise	VERB
fcis-31522	34	10	its	its	PRON
fcis-31522	34	11	own	own	ADJ
fcis-31522	34	12	offspring	offspring	NOUN
fcis-31522	34	13	.	.	PUNCT
fcis-31522	35	1	instead	instead	ADV
fcis-31522	35	2	,	,	PUNCT
fcis-31522	35	3	it	it	PRON
fcis-31522	35	4	secretly	secretly	ADV
fcis-31522	35	5	places	place	VERB
fcis-31522	35	6	its	its	PRON
fcis-31522	35	7	eggs	egg	NOUN
fcis-31522	35	8	in	in	ADP
fcis-31522	35	9	the	the	DET
fcis-31522	35	10	nests	nest	NOUN
fcis-31522	35	11	of	of	ADP
fcis-31522	35	12	other	other	ADJ
fcis-31522	35	13	birds	bird	NOUN
fcis-31522	35	14	,	,	PUNCT
fcis-31522	35	15	relying	rely	VERB
fcis-31522	35	16	on	on	ADP
fcis-31522	35	17	them	they	PRON
fcis-31522	35	18	to	to	PART
fcis-31522	35	19	raise	raise	VERB
fcis-31522	35	20	its	its	PRON
fcis-31522	35	21	young	young	ADJ
fcis-31522	35	22	.	.	PUNCT
fcis-31522	36	1	xinshe	xinshe	PROPN
fcis-31522	36	2	-	-	PUNCT
fcis-31522	36	3	yang	yang	PROPN
fcis-31522	36	4	and	and	CCONJ
fcis-31522	36	5	suash	suash	NOUN
fcis-31522	36	6	-	-	PUNCT
fcis-31522	36	7	deb	deb	PROPN
fcis-31522	36	8	et	et	PROPN
fcis-31522	36	9	al	al	PROPN
fcis-31522	36	10	.	.	PROPN
fcis-31522	36	11	proposed	propose	VERB
fcis-31522	36	12	the	the	DET
fcis-31522	36	13	cuckoo	cuckoo	NOUN
fcis-31522	36	14	search	search	NOUN
fcis-31522	36	15	algorithm	algorithm	NOUN
fcis-31522	36	16	(	(	PUNCT
fcis-31522	36	17	cs	cs	PROPN
fcis-31522	36	18	)	)	PUNCT
fcis-31522	36	19	in	in	ADP
fcis-31522	36	20	2009[9	2009[9	NUM
fcis-31522	36	21	]	]	PUNCT
fcis-31522	36	22	.	.	PUNCT
fcis-31522	37	1	this	this	DET
fcis-31522	37	2	algorithm	algorithm	NOUN
fcis-31522	37	3	is	be	AUX
fcis-31522	37	4	a	a	DET
fcis-31522	37	5	search	search	NOUN
fcis-31522	37	6	algorithm	algorithm	NOUN
fcis-31522	37	7	based	base	VERB
fcis-31522	37	8	on	on	ADP
fcis-31522	37	9	cuckoo	cuckoo	NOUN
fcis-31522	37	10	egg	egg	NOUN
fcis-31522	37	11	hatching	hatching	NOUN
fcis-31522	37	12	rates	rate	NOUN
fcis-31522	37	13	,	,	PUNCT
fcis-31522	37	14	featuring	feature	VERB
fcis-31522	37	15	few	few	ADJ
fcis-31522	37	16	8	8	NUM
fcis-31522	37	17	parameter	parameter	NOUN
fcis-31522	37	18	settings	setting	NOUN
fcis-31522	37	19	,	,	PUNCT
fcis-31522	37	20	fast	fast	ADJ
fcis-31522	37	21	optimization	optimization	NOUN
fcis-31522	37	22	,	,	PUNCT
fcis-31522	37	23	and	and	CCONJ
fcis-31522	37	24	high	high	ADJ
fcis-31522	37	25	accuracy	accuracy	NOUN
fcis-31522	37	26	.	.	PUNCT
fcis-31522	38	1	it	it	PRON
fcis-31522	38	2	is	be	AUX
fcis-31522	38	3	primarily	primarily	ADV
fcis-31522	38	4	used	use	VERB
fcis-31522	38	5	to	to	PART
fcis-31522	38	6	solve	solve	VERB
fcis-31522	38	7	optimization	optimization	NOUN
fcis-31522	38	8	problems	problem	NOUN
fcis-31522	38	9	.	.	PUNCT
fcis-31522	39	1	in	in	ADP
fcis-31522	39	2	order	order	NOUN
fcis-31522	39	3	to	to	PART
fcis-31522	39	4	make	make	VERB
fcis-31522	39	5	the	the	DET
fcis-31522	39	6	cuckoo	cuckoo	NOUN
fcis-31522	39	7	algorithm	algorithm	NOUN
fcis-31522	39	8	applicable	applicable	ADJ
fcis-31522	39	9	to	to	ADP
fcis-31522	39	10	solving	solve	VERB
fcis-31522	39	11	optimization	optimization	NOUN
fcis-31522	39	12	problems	problem	NOUN
fcis-31522	39	13	,	,	PUNCT
fcis-31522	39	14	xin	xin	PROPN
fcis-31522	39	15	-	-	PUNCT
fcis-31522	39	16	she	she	PRON
fcis-31522	39	17	-	-	PUNCT
fcis-31522	39	18	yang	yang	PROPN
fcis-31522	39	19	and	and	CCONJ
fcis-31522	39	20	suash	suash	NOUN
fcis-31522	39	21	-	-	PUNCT
fcis-31522	39	22	deb	deb	NOUN
fcis-31522	39	23	simplified	simplify	VERB
fcis-31522	39	24	and	and	CCONJ
fcis-31522	39	25	abstracted	abstract	VERB
fcis-31522	39	26	the	the	DET
fcis-31522	39	27	cuckoo	cuckoo	NOUN
fcis-31522	39	28	's	's	PART
fcis-31522	39	29	nest	nest	NOUN
fcis-31522	39	30	-	-	PUNCT
fcis-31522	39	31	building	building	NOUN
fcis-31522	39	32	and	and	CCONJ
fcis-31522	39	33	eggincubation	eggincubation	NOUN
fcis-31522	39	34	behavior	behavior	NOUN
fcis-31522	39	35	and	and	CCONJ
fcis-31522	39	36	established	establish	VERB
fcis-31522	39	37	the	the	DET
fcis-31522	39	38	rules	rule	NOUN
fcis-31522	39	39	in	in	ADP
fcis-31522	39	40	table	table	NOUN
fcis-31522	39	41	1	1	NUM
fcis-31522	39	42	.	.	PUNCT
fcis-31522	40	1	the	the	DET
fcis-31522	40	2	position	position	NOUN
fcis-31522	40	3	update	update	NOUN
fcis-31522	40	4	formula	formula	NOUN
fcis-31522	40	5	for	for	ADP
fcis-31522	40	6	the	the	DET
fcis-31522	40	7	cuckoo	cuckoo	NOUN
fcis-31522	40	8	algorithm	algorithm	NOUN
fcis-31522	40	9	is	be	AUX
fcis-31522	40	10	as	as	SCONJ
fcis-31522	40	11	follows	follow	VERB
fcis-31522	40	12	:	:	PUNCT
fcis-31522	41	1			PROPN
fcis-31522	41	2	1	1	PROPN
fcis-31522	41	3	t	t	PROPN
fcis-31522	41	4	t	t	PROPN
fcis-31522	42	1	i	i	PRON
fcis-31522	42	2	ix	ix	ADV
fcis-31522	42	3	x	x	PUNCT
fcis-31522	42	4	l	l	PROPN
fcis-31522	42	5			PROPN
fcis-31522	42	6			PROPN
fcis-31522	42	7			ADV
fcis-31522	42	8			ADJ
fcis-31522	42	9	(	(	PUNCT
fcis-31522	42	10	1	1	NUM
fcis-31522	42	11	)	)	PUNCT
fcis-31522	42	12	professor	professor	NOUN
fcis-31522	42	13	yang	yang	PROPN
fcis-31522	42	14	xinshe	xinshe	PROPN
fcis-31522	42	15	et	et	PROPN
fcis-31522	43	1	al	al	PROPN
fcis-31522	43	2	.	.	PROPN
fcis-31522	44	1	took	take	VERB
fcis-31522	44	2	the	the	DET
fcis-31522	44	3	growth	growth	NOUN
fcis-31522	44	4	factor	factor	NOUN
fcis-31522	44	5	as	as	ADP
fcis-31522	44	6	:	:	PUNCT
fcis-31522	44	7			NOUN
fcis-31522	44	8	0	0	INTJ
fcis-31522	45	1	t	t	NOUN
fcis-31522	46	1	i	i	PRON
fcis-31522	46	2	bestx	bestx	VERB
fcis-31522	46	3	x	x	PROPN
fcis-31522	46	4			PROPN
fcis-31522	46	5			VERB
fcis-31522	46	6			PROPN
fcis-31522	46	7	(	(	PUNCT
fcis-31522	46	8	2	2	NUM
fcis-31522	46	9	)	)	PUNCT
fcis-31522	46	10	t	t	NOUN
fcis-31522	46	11	ix	ix	ADP
fcis-31522	46	12	denotes	denote	VERB
fcis-31522	46	13	the	the	DET
fcis-31522	46	14	position	position	NOUN
fcis-31522	46	15	of	of	ADP
fcis-31522	46	16	the	the	DET
fcis-31522	46	17	i	i	PROPN
fcis-31522	46	18	-	-	PUNCT
fcis-31522	46	19	th	th	X
fcis-31522	46	20	bird	bird	NOUN
fcis-31522	46	21	's	's	PART
fcis-31522	46	22	nest	nest	NOUN
fcis-31522	46	23	at	at	ADP
fcis-31522	46	24	iteration	iteration	PROPN
fcis-31522	46	25	t	t	PROPN
fcis-31522	46	26	,	,	PUNCT
fcis-31522	46	27	1	1	NUM
fcis-31522	46	28	t	t	PROPN
fcis-31522	46	29	ix	ix	ADP
fcis-31522	46	30			PROPN
fcis-31522	46	31	denotes	denote	VERB
fcis-31522	46	32	the	the	DET
fcis-31522	46	33	position	position	NOUN
fcis-31522	46	34	of	of	ADP
fcis-31522	46	35	the	the	DET
fcis-31522	46	36	i	i	PROPN
fcis-31522	46	37	-	-	PUNCT
fcis-31522	46	38	th	th	X
fcis-31522	46	39	bird	bird	NOUN
fcis-31522	46	40	's	's	PART
fcis-31522	46	41	nest	nest	NOUN
fcis-31522	46	42	at	at	ADP
fcis-31522	46	43	iteration	iteration	NOUN
fcis-31522	46	44	t+1	t+1	PROPN
fcis-31522	46	45	,	,	PUNCT
fcis-31522	46	46			PROPN
fcis-31522	46	47	denotes	denote	NOUN
fcis-31522	46	48	point	point	NOUN
fcis-31522	46	49	-	-	PUNCT
fcis-31522	46	50	to	to	ADP
fcis-31522	46	51	-	-	PUNCT
fcis-31522	46	52	point	point	NOUN
fcis-31522	46	53	multiplication	multiplication	NOUN
fcis-31522	46	54	,	,	PUNCT
fcis-31522	46	55			X
fcis-31522	46	56	denotes	denote	VERB
fcis-31522	46	57	the	the	DET
fcis-31522	46	58	step	step	NOUN
fcis-31522	46	59	size	size	NOUN
fcis-31522	46	60	control	control	NOUN
fcis-31522	46	61	quantity	quantity	NOUN
fcis-31522	46	62	0	0	NUM
fcis-31522	46	63	0.01	0.01	NUM
fcis-31522	46	64			NOUN
fcis-31522	46	65	,	,	PUNCT
fcis-31522	46	66	bestx	bestx	NOUN
fcis-31522	46	67	denotes	denote	VERB
fcis-31522	46	68	the	the	DET
fcis-31522	46	69	current	current	ADJ
fcis-31522	46	70	optimal	optimal	ADJ
fcis-31522	46	71	position	position	NOUN
fcis-31522	46	72	,	,	PUNCT
fcis-31522	46	73	and	and	CCONJ
fcis-31522	46	74			PROPN
fcis-31522	46	75	l	l	PROPN
fcis-31522	46	76			ADJ
fcis-31522	46	77	denotes	denote	VERB
fcis-31522	46	78	the	the	DET
fcis-31522	46	79	random	random	ADJ
fcis-31522	46	80	search	search	NOUN
fcis-31522	46	81	path	path	NOUN
fcis-31522	46	82	of	of	ADP
fcis-31522	46	83	the	the	DET
fcis-31522	46	84	lévy	lévy	ADJ
fcis-31522	46	85	flight	flight	NOUN
fcis-31522	46	86	.	.	PUNCT
fcis-31522	47	1	2.2	2.2	NUM
fcis-31522	47	2	.	.	PUNCT
fcis-31522	48	1	improving	improve	VERB
fcis-31522	48	2	the	the	DET
fcis-31522	48	3	cuckoo	cuckoo	NOUN
fcis-31522	48	4	algorithm	algorithm	NOUN
fcis-31522	48	5	improvements	improvement	NOUN
fcis-31522	48	6	in	in	ADP
fcis-31522	48	7	detection	detection	NOUN
fcis-31522	48	8	probability	probability	NOUN
fcis-31522	48	9	in	in	ADP
fcis-31522	48	10	the	the	DET
fcis-31522	48	11	cuckoo	cuckoo	NOUN
fcis-31522	48	12	algorithm	algorithm	NOUN
fcis-31522	48	13	0	0	NUM
fcis-31522	49	1	0.01	0.01	NUM
fcis-31522	49	2			ADJ
fcis-31522	49	3	,	,	PUNCT
fcis-31522	49	4	limiting	limit	VERB
fcis-31522	49	5	the	the	DET
fcis-31522	49	6	range	range	NOUN
fcis-31522	49	7	of	of	ADP
fcis-31522	49	8	variation	variation	NOUN
fcis-31522	49	9	of	of	ADP
fcis-31522	49	10	the	the	DET
fcis-31522	49	11	step	step	NOUN
fcis-31522	49	12	size	size	NOUN
fcis-31522	49	13	factor	factor	NOUN
fcis-31522	49	14	with	with	ADP
fcis-31522	49	15	a	a	DET
fcis-31522	49	16	constant	constant	ADJ
fcis-31522	49	17	reduces	reduce	VERB
fcis-31522	49	18	the	the	DET
fcis-31522	49	19	accuracy	accuracy	NOUN
fcis-31522	49	20	of	of	ADP
fcis-31522	49	21	the	the	DET
fcis-31522	49	22	algorithm	algorithm	NOUN
fcis-31522	49	23	's	's	PART
fcis-31522	49	24	solution	solution	NOUN
fcis-31522	49	25	.	.	PUNCT
fcis-31522	50	1	our	our	PRON
fcis-31522	50	2	requirement	requirement	NOUN
fcis-31522	50	3	is	be	AUX
fcis-31522	50	4	to	to	PART
fcis-31522	50	5	enhance	enhance	VERB
fcis-31522	50	6	the	the	DET
fcis-31522	50	7	algorithm	algorithm	NOUN
fcis-31522	50	8	's	's	PART
fcis-31522	50	9	search	search	NOUN
fcis-31522	50	10	capability	capability	NOUN
fcis-31522	50	11	in	in	ADP
fcis-31522	50	12	the	the	DET
fcis-31522	50	13	early	early	ADJ
fcis-31522	50	14	stages	stage	NOUN
fcis-31522	50	15	of	of	ADP
fcis-31522	50	16	the	the	DET
fcis-31522	50	17	search	search	NOUN
fcis-31522	50	18	by	by	ADP
fcis-31522	50	19	using	use	VERB
fcis-31522	50	20	large	large	ADJ
fcis-31522	50	21	step	step	NOUN
fcis-31522	50	22	sizes	size	NOUN
fcis-31522	50	23	,	,	PUNCT
fcis-31522	50	24	and	and	CCONJ
fcis-31522	50	25	to	to	PART
fcis-31522	50	26	improve	improve	VERB
fcis-31522	50	27	search	search	NOUN
fcis-31522	50	28	accuracy	accuracy	NOUN
fcis-31522	50	29	in	in	ADP
fcis-31522	50	30	the	the	DET
fcis-31522	50	31	later	later	ADJ
fcis-31522	50	32	stages	stage	NOUN
fcis-31522	50	33	by	by	ADP
fcis-31522	50	34	using	use	VERB
fcis-31522	50	35	small	small	ADJ
fcis-31522	50	36	step	step	NOUN
fcis-31522	50	37	sizes	size	NOUN
fcis-31522	50	38	.	.	PUNCT
fcis-31522	51	1	therefore	therefore	ADV
fcis-31522	51	2	,	,	PUNCT
fcis-31522	51	3	we	we	PRON
fcis-31522	51	4	add	add	VERB
fcis-31522	51	5	a	a	DET
fcis-31522	51	6	cosine	cosine	NOUN
fcis-31522	51	7	function	function	NOUN
fcis-31522	51	8	to	to	PART
fcis-31522	51	9	dynamically	dynamically	ADV
fcis-31522	51	10	decrease	decrease	VERB
fcis-31522	51	11	the	the	DET
fcis-31522	51	12	curve	curve	NOUN
fcis-31522	51	13	in	in	ADP
fcis-31522	51	14	the	the	DET
fcis-31522	51	15	range	range	NOUN
fcis-31522	51	16	[	[	X
fcis-31522	51	17	0,1	0,1	NUM
fcis-31522	51	18	]	]	PUNCT
fcis-31522	51	19	,	,	PUNCT
fcis-31522	51	20	resulting	result	VERB
fcis-31522	51	21	in	in	ADP
fcis-31522	51	22	the	the	DET
fcis-31522	51	23	following	follow	VERB
fcis-31522	51	24	improvement	improvement	NOUN
fcis-31522	51	25	:	:	PUNCT
fcis-31522	51	26	0	0	NUM
fcis-31522	51	27	max	max	PROPN
fcis-31522	51	28	max	max	PROPN
fcis-31522	51	29	0.001	0.001	NUM
fcis-31522	51	30	cos	cos	PROPN
fcis-31522	51	31	t	t	PROPN
fcis-31522	51	32	t	t	PROPN
fcis-31522	51	33	t	t	PROPN
fcis-31522	51	34			PUNCT
fcis-31522	51	35			NOUN
fcis-31522	51	36			NOUN
fcis-31522	51	37			PROPN
fcis-31522	52	1			PROPN
fcis-31522	53	1			PROPN
fcis-31522	54	1			PROPN
fcis-31522	55	1			PROPN
fcis-31522	56	1			PROPN
fcis-31522	56	2			NOUN
fcis-31522	56	3	(	(	PUNCT
fcis-31522	56	4	3	3	NUM
fcis-31522	56	5	)	)	PUNCT
fcis-31522	56	6	replacing	replace	VERB
fcis-31522	56	7	the	the	DET
fcis-31522	56	8	original	original	NOUN
fcis-31522	56	9	with	with	ADP
fcis-31522	56	10	the	the	DET
fcis-31522	56	11	improved	improve	VERB
fcis-31522	56	12	version	version	NOUN
fcis-31522	56	13	yields	yield	NOUN
fcis-31522	56	14	the	the	DET
fcis-31522	56	15	step	step	NOUN
fcis-31522	56	16	formula	formula	NOUN
fcis-31522	56	17	for	for	ADP
fcis-31522	56	18	levy	levy	NOUN
fcis-31522	56	19	flight	flight	NOUN
fcis-31522	56	20	:	:	PUNCT
fcis-31522	56	21			NOUN
fcis-31522	56	22			PROPN
fcis-31522	56	23			NOUN
fcis-31522	56	24	1	1	NOUN
fcis-31522	57	1	max	max	PROPN
fcis-31522	57	2	max	max	PROPN
fcis-31522	57	3	0.001	0.001	NUM
fcis-31522	57	4	cost	cost	NOUN
fcis-31522	57	5	t	t	PROPN
fcis-31522	57	6	t	t	NOUN
fcis-31522	58	1	i	i	PRON
fcis-31522	58	2	i	i	PRON
fcis-31522	58	3	i	i	PRON
fcis-31522	59	1	best	well	ADV
fcis-31522	59	2	t	t	X
fcis-31522	59	3	x	x	PUNCT
fcis-31522	60	1	x	x	X
fcis-31522	60	2	t	t	NOUN
fcis-31522	60	3	x	x	PUNCT
fcis-31522	60	4	x	x	PUNCT
fcis-31522	60	5	levy	levy	NOUN
fcis-31522	60	6	t	t	PROPN
fcis-31522	60	7			PROPN
fcis-31522	60	8			NOUN
fcis-31522	60	9			PROPN
fcis-31522	60	10			PROPN
fcis-31522	60	11			PROPN
fcis-31522	60	12			PROPN
fcis-31522	60	13			PROPN
fcis-31522	60	14			PROPN
fcis-31522	60	15			PROPN
fcis-31522	60	16			PROPN
fcis-31522	61	1			DET
fcis-31522	61	2			PROPN
fcis-31522	61	3			NOUN
fcis-31522	61	4	(	(	PUNCT
fcis-31522	61	5	4	4	NUM
fcis-31522	61	6	)	)	PUNCT
fcis-31522	61	7	improvements	improvement	NOUN
fcis-31522	61	8	in	in	ADP
fcis-31522	61	9	detection	detection	NOUN
fcis-31522	61	10	probability	probability	NOUN
fcis-31522	61	11	the	the	DET
fcis-31522	61	12	discovery	discovery	NOUN
fcis-31522	61	13	probability	probability	NOUN
fcis-31522	61	14	of	of	ADP
fcis-31522	61	15	the	the	DET
fcis-31522	61	16	original	original	ADJ
fcis-31522	61	17	cuckoo	cuckoo	NOUN
fcis-31522	61	18	algorithm	algorithm	NOUN
fcis-31522	61	19	is	be	AUX
fcis-31522	61	20	0.25pa	0.25pa	NOUN
fcis-31522	61	21			ADJ
fcis-31522	61	22	,	,	PUNCT
fcis-31522	61	23	in	in	ADP
fcis-31522	61	24	actual	actual	ADJ
fcis-31522	61	25	situations	situation	NOUN
fcis-31522	61	26	,	,	PUNCT
fcis-31522	61	27	the	the	DET
fcis-31522	61	28	discovery	discovery	NOUN
fcis-31522	61	29	probability	probability	NOUN
fcis-31522	61	30	is	be	AUX
fcis-31522	61	31	not	not	PART
fcis-31522	61	32	fixed	fix	VERB
fcis-31522	61	33	.	.	PUNCT
fcis-31522	62	1	to	to	PART
fcis-31522	62	2	better	well	ADV
fcis-31522	62	3	reflect	reflect	VERB
fcis-31522	62	4	reality	reality	NOUN
fcis-31522	62	5	,	,	PUNCT
fcis-31522	62	6	a	a	DET
fcis-31522	62	7	dynamic	dynamic	ADJ
fcis-31522	62	8	discovery	discovery	NOUN
fcis-31522	62	9	probability	probability	NOUN
fcis-31522	62	10	should	should	AUX
fcis-31522	62	11	be	be	AUX
fcis-31522	62	12	used	use	VERB
fcis-31522	62	13	.	.	PUNCT
fcis-31522	63	1	in	in	ADP
fcis-31522	63	2	the	the	DET
fcis-31522	63	3	early	early	ADJ
fcis-31522	63	4	stages	stage	NOUN
fcis-31522	63	5	of	of	ADP
fcis-31522	63	6	algorithm	algorithm	NOUN
fcis-31522	63	7	search	search	NOUN
fcis-31522	63	8	,	,	PUNCT
fcis-31522	63	9	increasing	increase	VERB
fcis-31522	63	10	the	the	DET
fcis-31522	63	11	discovery	discovery	NOUN
fcis-31522	63	12	probability	probability	NOUN
fcis-31522	63	13	helps	help	VERB
fcis-31522	63	14	to	to	PART
fcis-31522	63	15	increase	increase	VERB
fcis-31522	63	16	the	the	DET
fcis-31522	63	17	diversity	diversity	NOUN
fcis-31522	63	18	of	of	ADP
fcis-31522	63	19	solutions	solution	NOUN
fcis-31522	63	20	.	.	PUNCT
fcis-31522	64	1	in	in	ADP
fcis-31522	64	2	the	the	DET
fcis-31522	64	3	later	later	ADJ
fcis-31522	64	4	stages	stage	NOUN
fcis-31522	64	5	of	of	ADP
fcis-31522	64	6	algorithm	algorithm	NOUN
fcis-31522	64	7	search	search	NOUN
fcis-31522	64	8	,	,	PUNCT
fcis-31522	64	9	diversity	diversity	NOUN
fcis-31522	64	10	is	be	AUX
fcis-31522	64	11	no	no	ADV
fcis-31522	64	12	longer	long	ADV
fcis-31522	64	13	the	the	DET
fcis-31522	64	14	main	main	ADJ
fcis-31522	64	15	goal	goal	NOUN
fcis-31522	64	16	,	,	PUNCT
fcis-31522	64	17	so	so	CCONJ
fcis-31522	64	18	accuracy	accuracy	NOUN
fcis-31522	64	19	should	should	AUX
fcis-31522	64	20	be	be	AUX
fcis-31522	64	21	improved	improve	VERB
fcis-31522	64	22	.	.	PUNCT
fcis-31522	65	1	therefore	therefore	ADV
fcis-31522	65	2	,	,	PUNCT
fcis-31522	65	3	reducing	reduce	VERB
fcis-31522	65	4	the	the	DET
fcis-31522	65	5	discovery	discovery	NOUN
fcis-31522	65	6	probability	probability	NOUN
fcis-31522	65	7	in	in	ADP
fcis-31522	65	8	the	the	DET
fcis-31522	65	9	later	later	ADJ
fcis-31522	65	10	stages	stage	NOUN
fcis-31522	65	11	will	will	AUX
fcis-31522	65	12	improve	improve	VERB
fcis-31522	65	13	the	the	DET
fcis-31522	65	14	accuracy	accuracy	NOUN
fcis-31522	65	15	of	of	ADP
fcis-31522	65	16	the	the	DET
fcis-31522	65	17	algorithm	algorithm	NOUN
fcis-31522	65	18	search	search	NOUN
fcis-31522	65	19	.	.	PUNCT
fcis-31522	66	1	max	max	PROPN
fcis-31522	66	2	max	max	PROPN
fcis-31522	66	3	exp	exp	PROPN
fcis-31522	66	4	cost	cost	NOUN
fcis-31522	66	5	begin	begin	VERB
fcis-31522	66	6	t	t	PROPN
fcis-31522	66	7	t	t	PROPN
fcis-31522	67	1	pa	pa	PROPN
fcis-31522	67	2	pa	pa	PROPN
fcis-31522	67	3	t	t	PROPN
fcis-31522	67	4	t	t	PROPN
fcis-31522	67	5			NOUN
fcis-31522	67	6			PROPN
fcis-31522	67	7			NOUN
fcis-31522	67	8			NOUN
fcis-31522	67	9			PROPN
fcis-31522	67	10			NUM
fcis-31522	67	11			PROPN
fcis-31522	67	12			PROPN
fcis-31522	67	13			PROPN
fcis-31522	67	14			ADJ
fcis-31522	67	15			PROPN
fcis-31522	67	16			PROPN
fcis-31522	67	17			NOUN
fcis-31522	67	18	(	(	PUNCT
fcis-31522	67	19	5	5	NUM
fcis-31522	67	20	)	)	PUNCT
fcis-31522	67	21	3	3	NUM
fcis-31522	67	22	.	.	X
fcis-31522	67	23	optimization	optimization	NOUN
fcis-31522	67	24	of	of	ADP
fcis-31522	67	25	bp	bp	PROPN
fcis-31522	67	26	neural	neural	ADJ
fcis-31522	67	27	network	network	NOUN
fcis-31522	67	28	image	image	NOUN
fcis-31522	67	29	restoration	restoration	NOUN
fcis-31522	67	30	based	base	VERB
fcis-31522	67	31	on	on	ADP
fcis-31522	67	32	improved	improved	ADJ
fcis-31522	67	33	cuckoo	cuckoo	NOUN
fcis-31522	67	34	algorithm	algorithm	NOUN
fcis-31522	67	35	3.1	3.1	NUM
fcis-31522	67	36	.	.	PUNCT
fcis-31522	67	37	improved	improve	VERB
fcis-31522	67	38	cuckoo	cuckoo	NOUN
fcis-31522	67	39	algorithm	algorithm	NOUN
fcis-31522	67	40	optimization	optimization	NOUN
fcis-31522	67	41	of	of	ADP
fcis-31522	67	42	bp	bp	PROPN
fcis-31522	67	43	neural	neural	PROPN
fcis-31522	67	44	networks	network	NOUN
fcis-31522	67	45	bp	bp	PROPN
fcis-31522	67	46	neural	neural	PROPN
fcis-31522	67	47	networks	network	NOUN
fcis-31522	67	48	are	be	AUX
fcis-31522	67	49	sensitive	sensitive	ADJ
fcis-31522	67	50	to	to	ADP
fcis-31522	67	51	initial	initial	ADJ
fcis-31522	67	52	weights	weight	NOUN
fcis-31522	67	53	and	and	CCONJ
fcis-31522	67	54	thresholds	threshold	NOUN
fcis-31522	67	55	,	,	PUNCT
fcis-31522	67	56	prone	prone	ADJ
fcis-31522	67	57	to	to	ADP
fcis-31522	67	58	getting	getting	AUX
fcis-31522	67	59	stuck	stick	VERB
fcis-31522	67	60	in	in	ADP
fcis-31522	67	61	local	local	ADJ
fcis-31522	67	62	minima	minima	NOUN
fcis-31522	67	63	,	,	PUNCT
fcis-31522	67	64	and	and	CCONJ
fcis-31522	67	65	the	the	DET
fcis-31522	67	66	initial	initial	ADJ
fcis-31522	67	67	weights	weight	NOUN
fcis-31522	67	68	and	and	CCONJ
fcis-31522	67	69	thresholds	threshold	NOUN
fcis-31522	67	70	of	of	ADP
fcis-31522	67	71	bp	bp	PROPN
fcis-31522	67	72	neural	neural	ADJ
fcis-31522	67	73	networks	network	NOUN
fcis-31522	67	74	are	be	AUX
fcis-31522	67	75	random	random	ADJ
fcis-31522	67	76	,	,	PUNCT
fcis-31522	67	77	which	which	PRON
fcis-31522	67	78	can	can	AUX
fcis-31522	67	79	cause	cause	VERB
fcis-31522	67	80	inconsistent	inconsistent	ADJ
fcis-31522	67	81	results	result	NOUN
fcis-31522	67	82	in	in	ADP
fcis-31522	67	83	each	each	DET
fcis-31522	67	84	training	training	NOUN
fcis-31522	67	85	session	session	NOUN
fcis-31522	67	86	and	and	CCONJ
fcis-31522	67	87	increase	increase	VERB
fcis-31522	67	88	errors	error	NOUN
fcis-31522	67	89	.	.	PUNCT
fcis-31522	68	1	due	due	ADP
fcis-31522	68	2	to	to	ADP
fcis-31522	68	3	the	the	DET
fcis-31522	68	4	characteristics	characteristic	NOUN
fcis-31522	68	5	of	of	ADP
fcis-31522	68	6	the	the	DET
fcis-31522	68	7	levy	levy	NOUN
fcis-31522	68	8	flight	flight	NOUN
fcis-31522	68	9	,	,	PUNCT
fcis-31522	68	10	the	the	DET
fcis-31522	68	11	improved	improved	ADJ
fcis-31522	68	12	cuckoo	cuckoo	NOUN
fcis-31522	68	13	algorithm	algorithm	NOUN
fcis-31522	68	14	is	be	AUX
fcis-31522	68	15	combined	combine	VERB
fcis-31522	68	16	with	with	ADP
fcis-31522	68	17	a	a	DET
fcis-31522	68	18	bp	bp	PROPN
fcis-31522	68	19	neural	neural	ADJ
fcis-31522	68	20	network	network	NOUN
fcis-31522	68	21	to	to	PART
fcis-31522	68	22	optimize	optimize	VERB
fcis-31522	68	23	the	the	DET
fcis-31522	68	24	weights	weight	NOUN
fcis-31522	68	25	and	and	CCONJ
fcis-31522	68	26	thresholds	threshold	NOUN
fcis-31522	68	27	of	of	ADP
fcis-31522	68	28	the	the	DET
fcis-31522	68	29	bp	bp	PROPN
fcis-31522	68	30	neural	neural	PROPN
fcis-31522	68	31	network	network	NOUN
fcis-31522	68	32	,	,	PUNCT
fcis-31522	68	33	enabling	enable	VERB
fcis-31522	68	34	it	it	PRON
fcis-31522	68	35	to	to	PART
fcis-31522	68	36	break	break	VERB
fcis-31522	68	37	free	free	ADJ
fcis-31522	68	38	from	from	ADP
fcis-31522	68	39	dependence	dependence	NOUN
fcis-31522	68	40	on	on	ADP
fcis-31522	68	41	initial	initial	ADJ
fcis-31522	68	42	weights	weight	NOUN
fcis-31522	68	43	and	and	CCONJ
fcis-31522	68	44	thresholds	threshold	NOUN
fcis-31522	68	45	,	,	PUNCT
fcis-31522	68	46	reduce	reduce	VERB
fcis-31522	68	47	errors	error	NOUN
fcis-31522	68	48	,	,	PUNCT
fcis-31522	68	49	and	and	CCONJ
fcis-31522	68	50	improve	improve	VERB
fcis-31522	68	51	convergence	convergence	NOUN
fcis-31522	68	52	speed	speed	NOUN
fcis-31522	68	53	.	.	PUNCT
fcis-31522	69	1	each	each	DET
fcis-31522	69	2	nest	nest	NOUN
fcis-31522	69	3	location	location	NOUN
fcis-31522	69	4	represents	represent	VERB
fcis-31522	69	5	the	the	DET
fcis-31522	69	6	dimension	dimension	NOUN
fcis-31522	69	7	of	of	ADP
fcis-31522	69	8	the	the	DET
fcis-31522	69	9	objective	objective	ADJ
fcis-31522	69	10	function	function	NOUN
fcis-31522	69	11	to	to	PART
fcis-31522	69	12	be	be	AUX
fcis-31522	69	13	optimized	optimize	VERB
fcis-31522	69	14	.	.	PUNCT
fcis-31522	70	1	the	the	DET
fcis-31522	70	2	mean	mean	ADJ
fcis-31522	70	3	squared	square	VERB
fcis-31522	70	4	error	error	NOUN
fcis-31522	70	5	of	of	ADP
fcis-31522	70	6	the	the	DET
fcis-31522	70	7	bp	bp	PROPN
fcis-31522	70	8	neural	neural	PROPN
fcis-31522	70	9	network	network	NOUN
fcis-31522	70	10	is	be	AUX
fcis-31522	70	11	treated	treat	VERB
fcis-31522	70	12	as	as	ADP
fcis-31522	70	13	the	the	DET
fcis-31522	70	14	fitness	fitness	NOUN
fcis-31522	70	15	function	function	NOUN
fcis-31522	70	16	,	,	PUNCT
fcis-31522	70	17	and	and	CCONJ
fcis-31522	70	18	the	the	DET
fcis-31522	70	19	global	global	ADJ
fcis-31522	70	20	optimal	optimal	ADJ
fcis-31522	70	21	solution	solution	NOUN
fcis-31522	70	22	is	be	AUX
fcis-31522	70	23	found	find	VERB
fcis-31522	70	24	using	use	VERB
fcis-31522	70	25	the	the	DET
fcis-31522	70	26	improved	improved	ADJ
fcis-31522	70	27	cuckoo	cuckoo	NOUN
fcis-31522	70	28	algorithm	algorithm	NOUN
fcis-31522	70	29	.	.	PUNCT
fcis-31522	71	1	the	the	DET
fcis-31522	71	2	final	final	ADJ
fcis-31522	71	3	optimal	optimal	ADJ
fcis-31522	71	4	solution	solution	NOUN
fcis-31522	71	5	is	be	AUX
fcis-31522	71	6	then	then	ADV
fcis-31522	71	7	assigned	assign	VERB
fcis-31522	71	8	to	to	ADP
fcis-31522	71	9	the	the	DET
fcis-31522	71	10	bp	bp	PROPN
fcis-31522	71	11	neural	neural	ADJ
fcis-31522	71	12	network	network	NOUN
fcis-31522	71	13	.	.	PUNCT
fcis-31522	72	1	the	the	DET
fcis-31522	72	2	improved	improve	VERB
fcis-31522	72	3	cuckoo	cuckoo	NOUN
fcis-31522	72	4	algorithm	algorithm	NOUN
fcis-31522	72	5	optimization	optimization	NOUN
fcis-31522	72	6	neural	neural	ADJ
fcis-31522	72	7	network	network	NOUN
fcis-31522	72	8	flowchart	flowchart	NOUN
fcis-31522	72	9	is	be	AUX
fcis-31522	72	10	shown	show	VERB
fcis-31522	72	11	in	in	ADP
fcis-31522	72	12	figure	figure	NOUN
fcis-31522	72	13	1	1	NUM
fcis-31522	72	14	below	below	ADV
fcis-31522	72	15	.	.	PUNCT
fcis-31522	73	1	the	the	DET
fcis-31522	73	2	improved	improve	VERB
fcis-31522	73	3	cuckoo	cuckoo	NOUN
fcis-31522	73	4	algorithm	algorithm	NOUN
fcis-31522	73	5	for	for	ADP
fcis-31522	73	6	optimizing	optimize	VERB
fcis-31522	73	7	the	the	DET
fcis-31522	73	8	image	image	NOUN
fcis-31522	73	9	restoration	restoration	NOUN
fcis-31522	73	10	steps	step	NOUN
fcis-31522	73	11	of	of	ADP
fcis-31522	73	12	the	the	DET
fcis-31522	73	13	bp	bp	PROPN
fcis-31522	73	14	neural	neural	PROPN
fcis-31522	73	15	network	network	NOUN
fcis-31522	73	16	(	(	PUNCT
fcis-31522	73	17	ics	ics	PROPN
fcis-31522	73	18	-	-	PUNCT
fcis-31522	73	19	bp	bp	PROPN
fcis-31522	73	20	)	)	PUNCT
fcis-31522	73	21	is	be	AUX
fcis-31522	73	22	as	as	SCONJ
fcis-31522	73	23	follows	follow	VERB
fcis-31522	73	24	.	.	PUNCT
fcis-31522	74	1	step	step	NOUN
fcis-31522	74	2	1	1	NUM
fcis-31522	74	3	:	:	PUNCT
fcis-31522	74	4	set	set	VERB
fcis-31522	74	5	the	the	DET
fcis-31522	74	6	original	original	ADJ
fcis-31522	74	7	image	image	NOUN
fcis-31522	74	8	as	as	ADP
fcis-31522	74	9	the	the	DET
fcis-31522	74	10	desired	desire	VERB
fcis-31522	74	11	output	output	NOUN
fcis-31522	74	12	,	,	PUNCT
fcis-31522	74	13	add	add	VERB
fcis-31522	74	14	gaussian	gaussian	ADJ
fcis-31522	74	15	blur	blur	NOUN
fcis-31522	74	16	to	to	ADP
fcis-31522	74	17	the	the	DET
fcis-31522	74	18	original	original	ADJ
fcis-31522	74	19	image	image	NOUN
fcis-31522	74	20	as	as	ADP
fcis-31522	74	21	input	input	NOUN
fcis-31522	74	22	,	,	PUNCT
fcis-31522	74	23	and	and	CCONJ
fcis-31522	74	24	set	set	VERB
fcis-31522	74	25	the	the	DET
fcis-31522	74	26	network	network	NOUN
fcis-31522	74	27	parameters	parameter	NOUN
fcis-31522	74	28	.	.	PUNCT
fcis-31522	75	1	step	step	NOUN
fcis-31522	75	2	2	2	NUM
fcis-31522	75	3	:	:	PUNCT
fcis-31522	75	4	the	the	DET
fcis-31522	75	5	position	position	NOUN
fcis-31522	75	6	vector	vector	NOUN
fcis-31522	75	7	of	of	ADP
fcis-31522	75	8	the	the	DET
fcis-31522	75	9	bird	bird	NOUN
fcis-31522	75	10	's	's	PART
fcis-31522	75	11	nest	nest	NOUN
fcis-31522	75	12	is	be	AUX
fcis-31522	75	13	regarded	regard	VERB
fcis-31522	75	14	as	as	ADP
fcis-31522	75	15	the	the	DET
fcis-31522	75	16	network	network	NOUN
fcis-31522	75	17	weight	weight	NOUN
fcis-31522	75	18	and	and	CCONJ
fcis-31522	75	19	threshold	threshold	NOUN
fcis-31522	75	20	,	,	PUNCT
fcis-31522	75	21	and	and	CCONJ
fcis-31522	75	22	the	the	DET
fcis-31522	75	23	mean	mean	ADJ
fcis-31522	75	24	square	square	ADJ
fcis-31522	75	25	error	error	NOUN
fcis-31522	75	26	of	of	ADP
fcis-31522	75	27	the	the	DET
fcis-31522	75	28	network	network	NOUN
fcis-31522	75	29	is	be	AUX
fcis-31522	75	30	regarded	regard	VERB
fcis-31522	75	31	as	as	ADP
fcis-31522	75	32	the	the	DET
fcis-31522	75	33	fitness	fitness	NOUN
fcis-31522	75	34	function	function	NOUN
fcis-31522	75	35	.	.	PUNCT
fcis-31522	76	1	after	after	ADP
fcis-31522	76	2	initializing	initialize	VERB
fcis-31522	76	3	the	the	DET
fcis-31522	76	4	network	network	NOUN
fcis-31522	76	5	parameters	parameter	NOUN
fcis-31522	76	6	,	,	PUNCT
fcis-31522	76	7	the	the	DET
fcis-31522	76	8	improved	improved	ADJ
fcis-31522	76	9	cuckoo	cuckoo	NOUN
fcis-31522	76	10	algorithm	algorithm	NOUN
fcis-31522	76	11	performs	perform	VERB
fcis-31522	76	12	optimization	optimization	NOUN
fcis-31522	76	13	.	.	PUNCT
fcis-31522	77	1	when	when	SCONJ
fcis-31522	77	2	the	the	DET
fcis-31522	77	3	error	error	NOUN
fcis-31522	77	4	is	be	AUX
fcis-31522	77	5	less	less	ADJ
fcis-31522	77	6	than	than	ADP
fcis-31522	77	7	the	the	DET
fcis-31522	77	8	present	present	ADJ
fcis-31522	77	9	value	value	NOUN
fcis-31522	77	10	or	or	CCONJ
fcis-31522	77	11	the	the	DET
fcis-31522	77	12	maximum	maximum	ADJ
fcis-31522	77	13	number	number	NOUN
fcis-31522	77	14	of	of	ADP
fcis-31522	77	15	iterations	iteration	NOUN
fcis-31522	77	16	is	be	AUX
fcis-31522	77	17	reached	reach	VERB
fcis-31522	77	18	,	,	PUNCT
fcis-31522	77	19	the	the	DET
fcis-31522	77	20	algorithm	algorithm	NOUN
fcis-31522	77	21	ends	end	VERB
fcis-31522	77	22	,	,	PUNCT
fcis-31522	77	23	the	the	DET
fcis-31522	77	24	position	position	NOUN
fcis-31522	77	25	vector	vector	NOUN
fcis-31522	77	26	of	of	ADP
fcis-31522	77	27	the	the	DET
fcis-31522	77	28	optimal	optimal	ADJ
fcis-31522	77	29	bird	bird	NOUN
fcis-31522	77	30	's	's	PART
fcis-31522	77	31	nest	nest	NOUN
fcis-31522	77	32	is	be	AUX
fcis-31522	77	33	saved	save	VERB
fcis-31522	77	34	,	,	PUNCT
fcis-31522	77	35	and	and	CCONJ
fcis-31522	77	36	the	the	DET
fcis-31522	77	37	optimal	optimal	ADJ
fcis-31522	77	38	weight	weight	NOUN
fcis-31522	77	39	and	and	CCONJ
fcis-31522	77	40	threshold	threshold	NOUN
fcis-31522	77	41	are	be	AUX
fcis-31522	77	42	obtained	obtain	VERB
fcis-31522	77	43	.	.	PUNCT
fcis-31522	78	1	step	step	NOUN
fcis-31522	78	2	3	3	NUM
fcis-31522	78	3	:	:	PUNCT
fcis-31522	78	4	train	train	VERB
fcis-31522	78	5	the	the	DET
fcis-31522	78	6	bp	bp	PROPN
fcis-31522	78	7	neural	neural	ADJ
fcis-31522	78	8	network	network	NOUN
fcis-31522	78	9	.	.	PUNCT
fcis-31522	79	1	when	when	SCONJ
fcis-31522	79	2	the	the	DET
fcis-31522	79	3	error	error	NOUN
fcis-31522	79	4	requirement	requirement	NOUN
fcis-31522	79	5	is	be	AUX
fcis-31522	79	6	met	meet	VERB
fcis-31522	79	7	or	or	CCONJ
fcis-31522	79	8	the	the	DET
fcis-31522	79	9	maximum	maximum	ADJ
fcis-31522	79	10	number	number	NOUN
fcis-31522	79	11	of	of	ADP
fcis-31522	79	12	iterations	iteration	NOUN
fcis-31522	79	13	is	be	AUX
fcis-31522	79	14	reached	reach	VERB
fcis-31522	79	15	,	,	PUNCT
fcis-31522	79	16	the	the	DET
fcis-31522	79	17	network	network	NOUN
fcis-31522	79	18	training	training	NOUN
fcis-31522	79	19	ends	end	VERB
fcis-31522	79	20	,	,	PUNCT
fcis-31522	79	21	and	and	CCONJ
fcis-31522	79	22	the	the	DET
fcis-31522	79	23	network	network	NOUN
fcis-31522	79	24	's	's	PART
fcis-31522	79	25	weights	weight	NOUN
fcis-31522	79	26	,	,	PUNCT
fcis-31522	79	27	thresholds	threshold	NOUN
fcis-31522	79	28	,	,	PUNCT
fcis-31522	79	29	and	and	CCONJ
fcis-31522	79	30	other	other	ADJ
fcis-31522	79	31	parameters	parameter	NOUN
fcis-31522	79	32	are	be	AUX
fcis-31522	79	33	saved	save	VERB
fcis-31522	79	34	.	.	PUNCT
fcis-31522	80	1	step	step	NOUN
fcis-31522	80	2	4	4	NUM
fcis-31522	80	3	:	:	PUNCT
fcis-31522	80	4	test	test	VERB
fcis-31522	80	5	the	the	DET
fcis-31522	80	6	network	network	NOUN
fcis-31522	80	7	,	,	PUNCT
fcis-31522	80	8	input	input	VERB
fcis-31522	80	9	the	the	DET
fcis-31522	80	10	blurred	blurred	ADJ
fcis-31522	80	11	image	image	NOUN
fcis-31522	80	12	,	,	PUNCT
fcis-31522	80	13	and	and	CCONJ
fcis-31522	80	14	denormalize	denormalize	VERB
fcis-31522	80	15	the	the	DET
fcis-31522	80	16	output	output	NOUN
fcis-31522	80	17	image	image	NOUN
fcis-31522	80	18	data	datum	NOUN
fcis-31522	80	19	to	to	PART
fcis-31522	80	20	obtain	obtain	VERB
fcis-31522	80	21	the	the	DET
fcis-31522	80	22	restored	restore	VERB
fcis-31522	80	23	image	image	NOUN
fcis-31522	80	24	.	.	PUNCT
fcis-31522	81	1	3.2	3.2	NUM
fcis-31522	81	2	.	.	PUNCT
fcis-31522	82	1	ics	ic	NOUN
fcis-31522	82	2	-	-	PUNCT
fcis-31522	82	3	bp	bp	PROPN
fcis-31522	82	4	neural	neural	ADJ
fcis-31522	82	5	network	network	NOUN
fcis-31522	82	6	image	image	NOUN
fcis-31522	82	7	restoration	restoration	NOUN
fcis-31522	82	8	experiment	experiment	NOUN
fcis-31522	82	9	results	result	NOUN
fcis-31522	82	10	and	and	CCONJ
fcis-31522	82	11	analysis	analysis	NOUN
fcis-31522	82	12	the	the	DET
fcis-31522	82	13	experimental	experimental	ADJ
fcis-31522	82	14	environment	environment	NOUN
fcis-31522	82	15	is	be	AUX
fcis-31522	82	16	matlab	matlab	PROPN
fcis-31522	82	17	2014b	2014b	NUM
fcis-31522	82	18	.	.	PUNCT
fcis-31522	83	1	a	a	DET
fcis-31522	83	2	9×9	9×9	NUM
fcis-31522	83	3	gaussian	gaussian	NOUN
fcis-31522	83	4	blur	blur	NOUN
fcis-31522	83	5	with	with	ADP
fcis-31522	83	6	a	a	DET
fcis-31522	83	7	variance	variance	NOUN
fcis-31522	83	8	of	of	ADP
fcis-31522	83	9	1	1	NUM
fcis-31522	83	10	is	be	AUX
fcis-31522	83	11	applied	apply	VERB
fcis-31522	83	12	to	to	ADP
fcis-31522	83	13	the	the	DET
fcis-31522	83	14	image	image	NOUN
fcis-31522	83	15	.	.	PUNCT
fcis-31522	84	1	since	since	SCONJ
fcis-31522	84	2	a	a	DET
fcis-31522	84	3	bp	bp	PROPN
fcis-31522	84	4	neural	neural	ADJ
fcis-31522	84	5	network	network	NOUN
fcis-31522	84	6	with	with	ADP
fcis-31522	84	7	a	a	DET
fcis-31522	84	8	9:20:1	9:20:1	NUM
fcis-31522	84	9	structure	structure	NOUN
fcis-31522	84	10	is	be	AUX
fcis-31522	84	11	used	use	VERB
fcis-31522	84	12	,	,	PUNCT
fcis-31522	84	13	the	the	DET
fcis-31522	84	14	dimension	dimension	NOUN
fcis-31522	84	15	d	d	NOUN
fcis-31522	84	16	is	be	AUX
fcis-31522	84	17	221	221	NUM
fcis-31522	84	18	,	,	PUNCT
fcis-31522	84	19	i.e.	i.e.	X
fcis-31522	84	20	,	,	PUNCT
fcis-31522	84	21	there	there	PRON
fcis-31522	84	22	are	be	VERB
fcis-31522	84	23	221	221	NUM
fcis-31522	84	24	weights	weight	NOUN
fcis-31522	84	25	and	and	CCONJ
fcis-31522	84	26	thresholds	threshold	NOUN
fcis-31522	84	27	in	in	ADP
fcis-31522	84	28	total	total	NOUN
fcis-31522	84	29	.	.	PUNCT
fcis-31522	85	1	the	the	DET
fcis-31522	85	2	improved	improve	VERB
fcis-31522	85	3	cuckoo	cuckoo	NOUN
fcis-31522	85	4	algorithm	algorithm	NOUN
fcis-31522	85	5	has	have	VERB
fcis-31522	85	6	a	a	DET
fcis-31522	85	7	nest	nest	NOUN
fcis-31522	85	8	number	number	NOUN
fcis-31522	85	9	m=25	m=25	PROPN
fcis-31522	85	10	and	and	CCONJ
fcis-31522	85	11	a	a	DET
fcis-31522	85	12	maximum	maximum	ADJ
fcis-31522	85	13	iteration	iteration	NOUN
fcis-31522	85	14	count	count	NOUN
fcis-31522	85	15	of	of	ADP
fcis-31522	85	16	200	200	NUM
fcis-31522	85	17	.	.	PUNCT
fcis-31522	86	1	we	we	PRON
fcis-31522	86	2	compared	compare	VERB
fcis-31522	86	3	the	the	DET
fcis-31522	86	4	results	result	NOUN
fcis-31522	86	5	of	of	ADP
fcis-31522	86	6	wiener	wiener	NOUN
fcis-31522	86	7	filter	filter	NOUN
fcis-31522	86	8	restoration	restoration	NOUN
fcis-31522	86	9	,	,	PUNCT
fcis-31522	86	10	bp	bp	PROPN
fcis-31522	86	11	neural	neural	ADJ
fcis-31522	86	12	network	network	NOUN
fcis-31522	86	13	restoration	restoration	NOUN
fcis-31522	86	14	,	,	PUNCT
fcis-31522	86	15	pso	pso	NOUN
fcis-31522	86	16	-	-	PUNCT
fcis-31522	86	17	bp	bp	PROPN
fcis-31522	86	18	neural	neural	ADJ
fcis-31522	86	19	network	network	NOUN
fcis-31522	86	20	restoration	restoration	NOUN
fcis-31522	86	21	,	,	PUNCT
fcis-31522	86	22	and	and	CCONJ
fcis-31522	86	23	ics	ics	PROPN
fcis-31522	86	24	-	-	PUNCT
fcis-31522	86	25	bp	bp	PROPN
fcis-31522	86	26	neural	neural	ADJ
fcis-31522	86	27	network	network	NOUN
fcis-31522	86	28	restoration	restoration	NOUN
fcis-31522	86	29	.	.	PUNCT
fcis-31522	87	1	the	the	DET
fcis-31522	87	2	lena	lena	PROPN
fcis-31522	87	3	image	image	NOUN
fcis-31522	87	4	was	be	AUX
fcis-31522	87	5	selected	select	VERB
fcis-31522	87	6	as	as	ADP
fcis-31522	87	7	the	the	DET
fcis-31522	87	8	training	training	NOUN
fcis-31522	87	9	image	image	NOUN
fcis-31522	87	10	,	,	PUNCT
fcis-31522	87	11	and	and	CCONJ
fcis-31522	87	12	the	the	DET
fcis-31522	87	13	trained	train	VERB
fcis-31522	87	14	models	model	NOUN
fcis-31522	87	15	were	be	AUX
fcis-31522	87	16	used	use	VERB
fcis-31522	87	17	for	for	ADP
fcis-31522	87	18	blurred	blurred	ADJ
fcis-31522	87	19	image	image	NOUN
fcis-31522	87	20	restoration	restoration	NOUN
fcis-31522	87	21	.	.	PUNCT
fcis-31522	88	1	the	the	DET
fcis-31522	88	2	results	result	NOUN
fcis-31522	88	3	are	be	AUX
fcis-31522	88	4	shown	show	VERB
fcis-31522	88	5	in	in	ADP
fcis-31522	88	6	figure	figure	NOUN
fcis-31522	88	7	2	2	NUM
fcis-31522	88	8	below	below	ADV
fcis-31522	88	9	.	.	PUNCT
fcis-31522	89	1	9	9	NUM
fcis-31522	89	2	the	the	DET
fcis-31522	89	3	mean	mean	ADJ
fcis-31522	89	4	square	square	ADJ
fcis-31522	89	5	error	error	NOUN
fcis-31522	89	6	of	of	ADP
fcis-31522	89	7	bp	bp	PROPN
fcis-31522	89	8	output	output	NOUN
fcis-31522	89	9	as	as	ADP
fcis-31522	89	10	a	a	DET
fcis-31522	89	11	fitness	fitness	NOUN
fcis-31522	89	12	function	function	NOUN
fcis-31522	89	13	bp	bp	PROPN
fcis-31522	89	14	neural	neural	PROPN
fcis-31522	89	15	network	network	PROPN
fcis-31522	89	16	section	section	NOUN
fcis-31522	89	17	determine	determine	VERB
fcis-31522	89	18	the	the	DET
fcis-31522	89	19	network	network	NOUN
fcis-31522	89	20	structure	structure	NOUN
fcis-31522	89	21	initialize	initialize	NOUN
fcis-31522	89	22	network	network	NOUN
fcis-31522	89	23	weight	weight	NOUN
fcis-31522	89	24	thresholds	threshold	NOUN
fcis-31522	89	25	obtain	obtain	VERB
fcis-31522	89	26	the	the	DET
fcis-31522	89	27	optimized	optimize	VERB
fcis-31522	89	28	weight	weight	NOUN
fcis-31522	89	29	threshold	threshold	NOUN
fcis-31522	89	30	training	training	NOUN
fcis-31522	89	31	bp	bp	PROPN
fcis-31522	89	32	networks	network	NOUN
fcis-31522	89	33	computational	computational	ADJ
fcis-31522	89	34	error	error	NOUN
fcis-31522	89	35	update	update	NOUN
fcis-31522	89	36	the	the	DET
fcis-31522	89	37	weight	weight	NOUN
fcis-31522	89	38	threshold	threshold	NOUN
fcis-31522	89	39	after	after	SCONJ
fcis-31522	89	40	training	training	NOUN
fcis-31522	89	41	meet	meet	VERB
fcis-31522	89	42	the	the	DET
fcis-31522	89	43	requirements	requirement	NOUN
fcis-31522	89	44	?	?	PUNCT
fcis-31522	90	1	no	no	INTJ
fcis-31522	90	2	yes	yes	INTJ
fcis-31522	90	3	end	end	NOUN
fcis-31522	90	4	ics	ics	NOUN
fcis-31522	90	5	algorithm	algorithm	NOUN
fcis-31522	90	6	section	section	NOUN
fcis-31522	90	7	ics	ics	NOUN
fcis-31522	90	8	encoding	encoding	NOUN
fcis-31522	90	9	of	of	ADP
fcis-31522	90	10	initial	initial	ADJ
fcis-31522	90	11	values	value	NOUN
fcis-31522	90	12	location	location	NOUN
fcis-31522	90	13	update	update	NOUN
fcis-31522	90	14	calculate	calculate	NOUN
fcis-31522	90	15	fitness	fitness	PROPN
fcis-31522	90	16	select	select	NOUN
fcis-31522	90	17	,	,	PUNCT
fcis-31522	90	18	replace	replace	VERB
fcis-31522	90	19	,	,	PUNCT
fcis-31522	90	20	remove	remove	VERB
fcis-31522	90	21	meet	meet	VERB
fcis-31522	90	22	the	the	DET
fcis-31522	90	23	requirements	requirement	NOUN
fcis-31522	90	24	?	?	PUNCT
fcis-31522	91	1	yes	yes	INTJ
fcis-31522	91	2	no	no	DET
fcis-31522	91	3	figure	figure	NOUN
fcis-31522	91	4	1	1	NUM
fcis-31522	91	5	.	.	PUNCT
fcis-31522	91	6	flow	flow	VERB
fcis-31522	91	7	chart	chart	NOUN
fcis-31522	91	8	of	of	ADP
fcis-31522	91	9	ics	ics	PROPN
fcis-31522	91	10	-	-	PUNCT
fcis-31522	91	11	bp	bp	PROPN
fcis-31522	91	12	neural	neural	ADJ
fcis-31522	91	13	network	network	NOUN
fcis-31522	91	14	(	(	PUNCT
fcis-31522	91	15	a)original	a)original	PROPN
fcis-31522	91	16	image	image	NOUN
fcis-31522	91	17	(	(	PUNCT
fcis-31522	91	18	b)blurred	b)blurre	VERB
fcis-31522	91	19	image	image	NOUN
fcis-31522	91	20	(	(	PUNCT
fcis-31522	91	21	c	c	NOUN
fcis-31522	91	22	)	)	PUNCT
fcis-31522	91	23	wiener	wiener	NOUN
fcis-31522	91	24	restoration	restoration	NOUN
fcis-31522	91	25	(	(	PUNCT
fcis-31522	91	26	d)bp	d)bp	PROPN
fcis-31522	91	27	recovery	recovery	NOUN
fcis-31522	91	28	(	(	PUNCT
fcis-31522	91	29	e)pso	e)pso	NOUN
fcis-31522	91	30	-	-	PUNCT
fcis-31522	91	31	bp	bp	PROPN
fcis-31522	91	32	restoration	restoration	NOUN
fcis-31522	91	33	(	(	PUNCT
fcis-31522	91	34	f	f	X
fcis-31522	91	35	)	)	PUNCT
fcis-31522	91	36	ics	ics	PROPN
fcis-31522	91	37	-	-	PUNCT
fcis-31522	91	38	bp	bp	PROPN
fcis-31522	91	39	recovery	recovery	NOUN
fcis-31522	91	40	figure	figure	NOUN
fcis-31522	91	41	2	2	NUM
fcis-31522	91	42	.	.	PUNCT
fcis-31522	92	1	lena	lena	PROPN
fcis-31522	92	2	image	image	NOUN
fcis-31522	92	3	restoration	restoration	NOUN
fcis-31522	92	4	renderings	rendering	NOUN
fcis-31522	92	5	10	10	NUM
fcis-31522	92	6	as	as	SCONJ
fcis-31522	92	7	can	can	AUX
fcis-31522	92	8	be	be	AUX
fcis-31522	92	9	seen	see	VERB
fcis-31522	92	10	from	from	ADP
fcis-31522	92	11	figure	figure	NOUN
fcis-31522	92	12	2	2	NUM
fcis-31522	92	13	,	,	PUNCT
fcis-31522	92	14	the	the	DET
fcis-31522	92	15	images	image	NOUN
fcis-31522	92	16	restored	restore	VERB
fcis-31522	92	17	by	by	ADP
fcis-31522	92	18	the	the	DET
fcis-31522	92	19	bp	bp	PROPN
fcis-31522	92	20	neural	neural	PROPN
fcis-31522	92	21	network	network	NOUN
fcis-31522	92	22	,	,	PUNCT
fcis-31522	92	23	pso	pso	NOUN
fcis-31522	92	24	-	-	PUNCT
fcis-31522	92	25	bp	bp	PROPN
fcis-31522	92	26	,	,	PUNCT
fcis-31522	92	27	and	and	CCONJ
fcis-31522	92	28	ics	ics	PROPN
fcis-31522	92	29	-	-	PUNCT
fcis-31522	92	30	bp	bp	PROPN
fcis-31522	92	31	do	do	AUX
fcis-31522	92	32	not	not	PART
fcis-31522	92	33	exhibit	exhibit	VERB
fcis-31522	92	34	white	white	ADJ
fcis-31522	92	35	pixels	pixel	NOUN
fcis-31522	92	36	,	,	PUNCT
fcis-31522	92	37	with	with	ADP
fcis-31522	92	38	the	the	DET
fcis-31522	92	39	ics	ics	NOUN
fcis-31522	92	40	-	-	PUNCT
fcis-31522	92	41	bp	bp	PROPN
fcis-31522	92	42	neural	neural	ADJ
fcis-31522	92	43	network	network	NOUN
fcis-31522	92	44	producing	produce	VERB
fcis-31522	92	45	the	the	DET
fcis-31522	92	46	best	good	ADJ
fcis-31522	92	47	restoration	restoration	NOUN
fcis-31522	92	48	results	result	NOUN
fcis-31522	92	49	.	.	PUNCT
fcis-31522	93	1	to	to	PART
fcis-31522	93	2	more	more	ADV
fcis-31522	93	3	intuitively	intuitively	ADV
fcis-31522	93	4	compare	compare	VERB
fcis-31522	93	5	the	the	DET
fcis-31522	93	6	quality	quality	NOUN
fcis-31522	93	7	of	of	ADP
fcis-31522	93	8	the	the	DET
fcis-31522	93	9	restored	restore	VERB
fcis-31522	93	10	images	image	NOUN
fcis-31522	93	11	,	,	PUNCT
fcis-31522	93	12	peak	peak	NOUN
fcis-31522	93	13	signal	signal	NOUN
fcis-31522	93	14	-	-	PUNCT
fcis-31522	93	15	to	to	ADP
fcis-31522	93	16	-	-	PUNCT
fcis-31522	93	17	noise	noise	NOUN
fcis-31522	93	18	ratio	ratio	NOUN
fcis-31522	93	19	(	(	PUNCT
fcis-31522	93	20	psnr	psnr	NOUN
fcis-31522	93	21	)	)	PUNCT
fcis-31522	93	22	and	and	CCONJ
fcis-31522	93	23	structural	structural	ADJ
fcis-31522	93	24	similarity	similarity	NOUN
fcis-31522	93	25	(	(	PUNCT
fcis-31522	93	26	ssim	ssim	NOUN
fcis-31522	93	27	)	)	PUNCT
fcis-31522	93	28	are	be	AUX
fcis-31522	93	29	used	use	VERB
fcis-31522	93	30	to	to	PART
fcis-31522	93	31	evaluate	evaluate	VERB
fcis-31522	93	32	the	the	DET
fcis-31522	93	33	restored	restore	VERB
fcis-31522	93	34	images	image	NOUN
fcis-31522	93	35	,	,	PUNCT
fcis-31522	93	36	with	with	ADP
fcis-31522	93	37	higher	high	ADJ
fcis-31522	93	38	psnr	psnr	NOUN
fcis-31522	93	39	and	and	CCONJ
fcis-31522	93	40	ssim	ssim	NOUN
fcis-31522	93	41	values	value	NOUN
fcis-31522	93	42	indicating	indicate	VERB
fcis-31522	93	43	better	well	ADJ
fcis-31522	93	44	restoration	restoration	NOUN
fcis-31522	93	45	quality	quality	NOUN
fcis-31522	93	46	.	.	PUNCT
fcis-31522	94	1	table	table	NOUN
fcis-31522	94	2	2	2	NUM
fcis-31522	94	3	.	.	X
fcis-31522	95	1	psnr	psnr	NOUN
fcis-31522	95	2	and	and	CCONJ
fcis-31522	95	3	ssim	ssim	NOUN
fcis-31522	95	4	of	of	ADP
fcis-31522	95	5	lena	lena	PROPN
fcis-31522	95	6	restoration	restoration	NOUN
fcis-31522	95	7	restoration	restoration	NOUN
fcis-31522	95	8	method	method	NOUN
fcis-31522	95	9	psnr	psnr	NOUN
fcis-31522	95	10	(	(	PUNCT
fcis-31522	95	11	db	db	NOUN
fcis-31522	95	12	)	)	PUNCT
fcis-31522	95	13	ssim	ssim	NOUN
fcis-31522	95	14	rule	rule	NOUN
fcis-31522	95	15	-	-	PUNCT
fcis-31522	95	16	based	base	VERB
fcis-31522	95	17	filtering	filter	VERB
fcis-31522	95	18	25.2706	25.2706	NUM
fcis-31522	95	19	0.8461	0.8461	NUM
fcis-31522	95	20	bp	bp	PROPN
fcis-31522	95	21	neural	neural	ADJ
fcis-31522	95	22	network	network	NOUN
fcis-31522	95	23	35.7024	35.7024	NUM
fcis-31522	95	24	0.9660	0.9660	NUM
fcis-31522	95	25	pso	pso	NOUN
fcis-31522	95	26	-	-	PUNCT
fcis-31522	95	27	bp	bp	PROPN
fcis-31522	95	28	36.1503	36.1503	NUM
fcis-31522	95	29	0.9752	0.9752	NUM
fcis-31522	95	30	ics	ic	NOUN
fcis-31522	95	31	-	-	PUNCT
fcis-31522	95	32	bp	bp	PROPN
fcis-31522	95	33	37.4259	37.4259	NUM
fcis-31522	95	34	0.9817	0.9817	NUM
fcis-31522	95	35	as	as	SCONJ
fcis-31522	95	36	shown	show	VERB
fcis-31522	95	37	in	in	ADP
fcis-31522	95	38	table	table	NOUN
fcis-31522	95	39	2	2	NUM
fcis-31522	95	40	,	,	PUNCT
fcis-31522	95	41	the	the	DET
fcis-31522	95	42	peak	peak	NOUN
fcis-31522	95	43	signal	signal	NOUN
fcis-31522	95	44	-	-	PUNCT
fcis-31522	95	45	to	to	ADP
fcis-31522	95	46	-	-	PUNCT
fcis-31522	95	47	noise	noise	NOUN
fcis-31522	95	48	ratio	ratio	NOUN
fcis-31522	95	49	(	(	PUNCT
fcis-31522	95	50	psnr	psnr	NOUN
fcis-31522	95	51	)	)	PUNCT
fcis-31522	95	52	of	of	ADP
fcis-31522	95	53	the	the	DET
fcis-31522	95	54	ics	ics	NOUN
fcis-31522	95	55	-	-	PUNCT
fcis-31522	95	56	bp	bp	PROPN
fcis-31522	95	57	neural	neural	ADJ
fcis-31522	95	58	network	network	NOUN
fcis-31522	95	59	image	image	NOUN
fcis-31522	95	60	restoration	restoration	NOUN
fcis-31522	95	61	improved	improve	VERB
fcis-31522	95	62	by	by	ADP
fcis-31522	95	63	4.83	4.83	NUM
fcis-31522	95	64	%	%	NOUN
fcis-31522	95	65	and	and	CCONJ
fcis-31522	95	66	3.53	3.53	NUM
fcis-31522	95	67	%	%	NOUN
fcis-31522	95	68	compared	compare	VERB
fcis-31522	95	69	to	to	ADP
fcis-31522	95	70	the	the	DET
fcis-31522	95	71	bp	bp	PROPN
fcis-31522	95	72	neural	neural	ADJ
fcis-31522	95	73	network	network	NOUN
fcis-31522	95	74	and	and	CCONJ
fcis-31522	95	75	pso	pso	NOUN
fcis-31522	95	76	-	-	PUNCT
fcis-31522	95	77	bp	bp	PROPN
fcis-31522	95	78	neural	neural	ADJ
fcis-31522	95	79	network	network	NOUN
fcis-31522	95	80	image	image	NOUN
fcis-31522	95	81	restoration	restoration	NOUN
fcis-31522	95	82	,	,	PUNCT
fcis-31522	95	83	respectively	respectively	ADV
fcis-31522	95	84	,	,	PUNCT
fcis-31522	95	85	while	while	SCONJ
fcis-31522	95	86	the	the	DET
fcis-31522	95	87	structural	structural	ADJ
fcis-31522	95	88	similarity	similarity	NOUN
fcis-31522	95	89	(	(	PUNCT
fcis-31522	95	90	ssim	ssim	NOUN
fcis-31522	95	91	)	)	PUNCT
fcis-31522	95	92	improved	improve	VERB
fcis-31522	95	93	by	by	ADP
fcis-31522	95	94	1.62	1.62	NUM
fcis-31522	95	95	%	%	NOUN
fcis-31522	95	96	and	and	CCONJ
fcis-31522	95	97	0.67	0.67	NUM
fcis-31522	95	98	%	%	NOUN
fcis-31522	95	99	,	,	PUNCT
fcis-31522	95	100	respectively	respectively	ADV
fcis-31522	95	101	.	.	PUNCT
fcis-31522	96	1	this	this	PRON
fcis-31522	96	2	indicates	indicate	VERB
fcis-31522	96	3	that	that	SCONJ
fcis-31522	96	4	ics	ics	NOUN
fcis-31522	96	5	-	-	PUNCT
fcis-31522	96	6	bp	bp	PROPN
fcis-31522	96	7	image	image	NOUN
fcis-31522	96	8	restoration	restoration	NOUN
fcis-31522	96	9	is	be	AUX
fcis-31522	96	10	the	the	DET
fcis-31522	96	11	most	most	ADV
fcis-31522	96	12	effective	effective	ADJ
fcis-31522	96	13	,	,	PUNCT
fcis-31522	96	14	with	with	ADP
fcis-31522	96	15	the	the	DET
fcis-31522	96	16	restored	restore	VERB
fcis-31522	96	17	images	image	NOUN
fcis-31522	96	18	being	be	AUX
fcis-31522	96	19	closer	close	ADJ
fcis-31522	96	20	to	to	ADP
fcis-31522	96	21	the	the	DET
fcis-31522	96	22	original	original	ADJ
fcis-31522	96	23	images	image	NOUN
fcis-31522	96	24	.	.	PUNCT
fcis-31522	97	1	1	1	NUM
fcis-31522	97	2	5	5	NUM
fcis-31522	97	3	10	10	NUM
fcis-31522	97	4	15	15	NUM
fcis-31522	97	5	20	20	NUM
fcis-31522	97	6	25	25	NUM
fcis-31522	97	7	30	30	NUM
fcis-31522	97	8	35	35	NUM
fcis-31522	97	9	40	40	NUM
fcis-31522	97	10	number	number	NOUN
fcis-31522	97	11	of	of	ADP
fcis-31522	97	12	iterations	iteration	NOUN
fcis-31522	97	13	10	10	NUM
fcis-31522	97	14	-	-	SYM
fcis-31522	97	15	4	4	NUM
fcis-31522	97	16	10	10	NUM
fcis-31522	97	17	-	-	SYM
fcis-31522	97	18	3	3	NUM
fcis-31522	97	19	10	10	NUM
fcis-31522	97	20	-	-	SYM
fcis-31522	97	21	2	2	NUM
fcis-31522	97	22	10	10	NUM
fcis-31522	97	23	-	-	SYM
fcis-31522	97	24	1	1	NUM
fcis-31522	97	25	100	100	NUM
fcis-31522	97	26	101	101	NUM
fcis-31522	97	27	best	good	ADJ
fcis-31522	97	28	validation	validation	NOUN
fcis-31522	97	29	performance	performance	NOUN
fcis-31522	97	30	is	be	AUX
fcis-31522	97	31	0.00096419	0.00096419	NUM
fcis-31522	97	32	at	at	ADP
fcis-31522	97	33	epoch	epoch	PROPN
fcis-31522	97	34	35	35	NUM
fcis-31522	97	35	train	train	NOUN
fcis-31522	97	36	validation	validation	NOUN
fcis-31522	97	37	test	test	NOUN
fcis-31522	97	38	best	well	ADV
fcis-31522	97	39	mean	mean	VERB
fcis-31522	97	40	square	square	ADJ
fcis-31522	97	41	error	error	NOUN
fcis-31522	97	42	figure	figure	NOUN
fcis-31522	97	43	3	3	NUM
fcis-31522	97	44	.	.	PUNCT
fcis-31522	98	1	ics	ics	PROPN
fcis-31522	98	2	-	-	PUNCT
fcis-31522	98	3	bp	bp	PROPN
fcis-31522	98	4	training	training	NOUN
fcis-31522	98	5	convergence	convergence	NOUN
fcis-31522	98	6	diagram	diagram	NOUN
fcis-31522	98	7	as	as	SCONJ
fcis-31522	98	8	can	can	AUX
fcis-31522	98	9	be	be	AUX
fcis-31522	98	10	seen	see	VERB
fcis-31522	98	11	from	from	ADP
fcis-31522	98	12	figure	figure	NOUN
fcis-31522	98	13	3	3	NUM
fcis-31522	98	14	above	above	ADV
fcis-31522	98	15	,	,	PUNCT
fcis-31522	98	16	the	the	DET
fcis-31522	98	17	ics	ics	NOUN
fcis-31522	98	18	-	-	PUNCT
fcis-31522	98	19	bp	bp	PROPN
fcis-31522	98	20	neural	neural	ADJ
fcis-31522	98	21	network	network	NOUN
fcis-31522	98	22	converges	converge	NOUN
fcis-31522	98	23	after	after	ADP
fcis-31522	98	24	35	35	NUM
fcis-31522	98	25	iterations	iteration	NOUN
fcis-31522	98	26	,	,	PUNCT
fcis-31522	98	27	compared	compare	VERB
fcis-31522	98	28	to	to	ADP
fcis-31522	98	29	137	137	NUM
fcis-31522	98	30	iterations	iteration	NOUN
fcis-31522	98	31	for	for	ADP
fcis-31522	98	32	the	the	DET
fcis-31522	98	33	bp	bp	PROPN
fcis-31522	98	34	neural	neural	ADJ
fcis-31522	98	35	network	network	NOUN
fcis-31522	98	36	and	and	CCONJ
fcis-31522	98	37	81	81	NUM
fcis-31522	98	38	iterations	iteration	NOUN
fcis-31522	98	39	for	for	ADP
fcis-31522	98	40	the	the	DET
fcis-31522	98	41	pso	pso	NOUN
fcis-31522	98	42	-	-	PUNCT
fcis-31522	98	43	bp	bp	PROPN
fcis-31522	98	44	neural	neural	ADJ
fcis-31522	98	45	network	network	NOUN
fcis-31522	98	46	.	.	PUNCT
fcis-31522	99	1	the	the	DET
fcis-31522	99	2	ics	ics	PROPN
fcis-31522	99	3	-	-	PUNCT
fcis-31522	99	4	bp	bp	PROPN
fcis-31522	99	5	neural	neural	ADJ
fcis-31522	99	6	network	network	NOUN
fcis-31522	99	7	has	have	VERB
fcis-31522	99	8	faster	fast	ADJ
fcis-31522	99	9	convergence	convergence	NOUN
fcis-31522	99	10	characteristics	characteristic	NOUN
fcis-31522	99	11	,	,	PUNCT
fcis-31522	99	12	improving	improve	VERB
fcis-31522	99	13	efficiency	efficiency	NOUN
fcis-31522	99	14	.	.	PUNCT
fcis-31522	100	1	4	4	X
fcis-31522	100	2	.	.	X
fcis-31522	100	3	conclusion	conclusion	NOUN
fcis-31522	100	4	this	this	DET
fcis-31522	100	5	article	article	NOUN
fcis-31522	100	6	introduces	introduce	VERB
fcis-31522	100	7	the	the	DET
fcis-31522	100	8	cuckoo	cuckoo	NOUN
fcis-31522	100	9	algorithm	algorithm	NOUN
fcis-31522	100	10	and	and	CCONJ
fcis-31522	100	11	uses	use	VERB
fcis-31522	100	12	an	an	DET
fcis-31522	100	13	improved	improved	ADJ
fcis-31522	100	14	cuckoo	cuckoo	NOUN
fcis-31522	100	15	algorithm	algorithm	NOUN
fcis-31522	100	16	to	to	PART
fcis-31522	100	17	optimize	optimize	VERB
fcis-31522	100	18	the	the	DET
fcis-31522	100	19	initial	initial	ADJ
fcis-31522	100	20	weights	weight	NOUN
fcis-31522	100	21	and	and	CCONJ
fcis-31522	100	22	thresholds	threshold	NOUN
fcis-31522	100	23	of	of	ADP
fcis-31522	100	24	a	a	DET
fcis-31522	100	25	backpropagation	backpropagation	NOUN
fcis-31522	100	26	(	(	PUNCT
fcis-31522	100	27	bp	bp	PROPN
fcis-31522	100	28	)	)	PUNCT
fcis-31522	100	29	neural	neural	ADJ
fcis-31522	100	30	network	network	NOUN
fcis-31522	100	31	,	,	PUNCT
fcis-31522	100	32	addressing	address	VERB
fcis-31522	100	33	issues	issue	NOUN
fcis-31522	100	34	such	such	ADJ
fcis-31522	100	35	as	as	ADP
fcis-31522	100	36	sensitivity	sensitivity	NOUN
fcis-31522	100	37	to	to	ADP
fcis-31522	100	38	initial	initial	ADJ
fcis-31522	100	39	weights	weight	NOUN
fcis-31522	100	40	and	and	CCONJ
fcis-31522	100	41	thresholds	threshold	NOUN
fcis-31522	100	42	,	,	PUNCT
fcis-31522	100	43	slow	slow	ADJ
fcis-31522	100	44	convergence	convergence	NOUN
fcis-31522	100	45	speed	speed	NOUN
fcis-31522	100	46	,	,	PUNCT
fcis-31522	100	47	and	and	CCONJ
fcis-31522	100	48	susceptibility	susceptibility	NOUN
fcis-31522	100	49	to	to	ADP
fcis-31522	100	50	local	local	ADJ
fcis-31522	100	51	optima	optima	NOUN
fcis-31522	100	52	.	.	PUNCT
fcis-31522	101	1	first	first	ADV
fcis-31522	101	2	,	,	PUNCT
fcis-31522	101	3	the	the	DET
fcis-31522	101	4	cuckoo	cuckoo	NOUN
fcis-31522	101	5	algorithm	algorithm	NOUN
fcis-31522	101	6	is	be	AUX
fcis-31522	101	7	improved	improve	VERB
fcis-31522	101	8	by	by	ADP
fcis-31522	101	9	using	use	VERB
fcis-31522	101	10	a	a	DET
fcis-31522	101	11	cosine	cosine	NOUN
fcis-31522	101	12	function	function	NOUN
fcis-31522	101	13	to	to	PART
fcis-31522	101	14	modify	modify	VERB
fcis-31522	101	15	the	the	DET
fcis-31522	101	16	step	step	NOUN
fcis-31522	101	17	size	size	NOUN
fcis-31522	101	18	and	and	CCONJ
fcis-31522	101	19	an	an	DET
fcis-31522	101	20	exponential	exponential	ADJ
fcis-31522	101	21	function	function	NOUN
fcis-31522	101	22	to	to	PART
fcis-31522	101	23	improve	improve	VERB
fcis-31522	101	24	the	the	DET
fcis-31522	101	25	discovery	discovery	NOUN
fcis-31522	101	26	probability	probability	NOUN
fcis-31522	101	27	.	.	PUNCT
fcis-31522	102	1	the	the	DET
fcis-31522	102	2	improved	improve	VERB
fcis-31522	102	3	step	step	NOUN
fcis-31522	102	4	size	size	NOUN
fcis-31522	102	5	enhances	enhance	VERB
fcis-31522	102	6	convergence	convergence	NOUN
fcis-31522	102	7	speed	speed	NOUN
fcis-31522	102	8	,	,	PUNCT
fcis-31522	102	9	while	while	SCONJ
fcis-31522	102	10	the	the	DET
fcis-31522	102	11	improved	improve	VERB
fcis-31522	102	12	discovery	discovery	NOUN
fcis-31522	102	13	probability	probability	NOUN
fcis-31522	102	14	enhances	enhance	VERB
fcis-31522	102	15	convergence	convergence	NOUN
fcis-31522	102	16	accuracy	accuracy	NOUN
fcis-31522	102	17	.	.	PUNCT
fcis-31522	103	1	the	the	DET
fcis-31522	103	2	improved	improve	VERB
fcis-31522	103	3	cuckoo	cuckoo	NOUN
fcis-31522	103	4	algorithm	algorithm	NOUN
fcis-31522	103	5	is	be	AUX
fcis-31522	103	6	then	then	ADV
fcis-31522	103	7	applied	apply	VERB
fcis-31522	103	8	to	to	PART
fcis-31522	103	9	optimize	optimize	VERB
fcis-31522	103	10	the	the	DET
fcis-31522	103	11	weights	weight	NOUN
fcis-31522	103	12	and	and	CCONJ
fcis-31522	103	13	thresholds	threshold	NOUN
fcis-31522	103	14	of	of	ADP
fcis-31522	103	15	the	the	DET
fcis-31522	103	16	bp	bp	PROPN
fcis-31522	103	17	neural	neural	ADJ
fcis-31522	103	18	network	network	NOUN
fcis-31522	103	19	and	and	CCONJ
fcis-31522	103	20	is	be	AUX
fcis-31522	103	21	utilized	utilize	VERB
fcis-31522	103	22	in	in	ADP
fcis-31522	103	23	image	image	NOUN
fcis-31522	103	24	restoration	restoration	NOUN
fcis-31522	103	25	.	.	PUNCT
fcis-31522	104	1	experimental	experimental	ADJ
fcis-31522	104	2	results	result	NOUN
fcis-31522	104	3	show	show	VERB
fcis-31522	104	4	that	that	SCONJ
fcis-31522	104	5	the	the	DET
fcis-31522	104	6	peak	peak	NOUN
fcis-31522	104	7	signal	signal	NOUN
fcis-31522	104	8	-	-	PUNCT
fcis-31522	104	9	to	to	ADP
fcis-31522	104	10	-	-	PUNCT
fcis-31522	104	11	noise	noise	NOUN
fcis-31522	104	12	ratio	ratio	NOUN
fcis-31522	104	13	(	(	PUNCT
fcis-31522	104	14	psnr	psnr	NOUN
fcis-31522	104	15	)	)	PUNCT
fcis-31522	104	16	and	and	CCONJ
fcis-31522	104	17	structural	structural	ADJ
fcis-31522	104	18	similarity	similarity	NOUN
fcis-31522	104	19	(	(	PUNCT
fcis-31522	104	20	ssim	ssim	NOUN
fcis-31522	104	21	)	)	PUNCT
fcis-31522	104	22	of	of	ADP
fcis-31522	104	23	ics	ics	NOUN
fcis-31522	104	24	-	-	PUNCT
fcis-31522	104	25	bp	bp	PROPN
fcis-31522	104	26	image	image	NOUN
fcis-31522	104	27	restoration	restoration	NOUN
fcis-31522	104	28	are	be	AUX
fcis-31522	104	29	both	both	ADV
fcis-31522	104	30	higher	high	ADJ
fcis-31522	104	31	than	than	ADP
fcis-31522	104	32	those	those	PRON
fcis-31522	104	33	of	of	ADP
fcis-31522	104	34	the	the	DET
fcis-31522	104	35	bp	bp	PROPN
fcis-31522	104	36	neural	neural	ADJ
fcis-31522	104	37	network	network	NOUN
fcis-31522	104	38	and	and	CCONJ
fcis-31522	104	39	pso	pso	NOUN
fcis-31522	104	40	-	-	PUNCT
fcis-31522	104	41	bp	bp	PROPN
fcis-31522	104	42	neural	neural	ADJ
fcis-31522	104	43	network	network	NOUN
fcis-31522	104	44	,	,	PUNCT
fcis-31522	104	45	indicating	indicate	VERB
fcis-31522	104	46	that	that	SCONJ
fcis-31522	104	47	ics	ic	NOUN
fcis-31522	104	48	-	-	PUNCT
fcis-31522	104	49	bp	bp	PROPN
fcis-31522	104	50	achieves	achieve	VERB
fcis-31522	104	51	better	well	ADJ
fcis-31522	104	52	restoration	restoration	NOUN
fcis-31522	104	53	results	result	NOUN
fcis-31522	104	54	,	,	PUNCT
fcis-31522	104	55	with	with	ADP
fcis-31522	104	56	restored	restore	VERB
fcis-31522	104	57	images	image	NOUN
fcis-31522	104	58	closer	close	ADV
fcis-31522	104	59	to	to	ADP
fcis-31522	104	60	the	the	DET
fcis-31522	104	61	original	original	ADJ
fcis-31522	104	62	images	image	NOUN
fcis-31522	104	63	and	and	CCONJ
fcis-31522	104	64	faster	fast	ADJ
fcis-31522	104	65	convergence	convergence	NOUN
fcis-31522	104	66	.	.	PUNCT
fcis-31522	105	1	references	reference	NOUN
fcis-31522	105	2	[	[	X
fcis-31522	105	3	1	1	NUM
fcis-31522	105	4	]	]	PUNCT
fcis-31522	105	5	huo	huo	PROPN
fcis-31522	105	6	y	y	PROPN
fcis-31522	105	7	k	k	PROPN
fcis-31522	105	8	,	,	PUNCT
fcis-31522	105	9	wei	wei	PROPN
fcis-31522	105	10	g	g	PROPN
fcis-31522	105	11	,	,	PUNCT
fcis-31522	105	12	zhang	zhang	PROPN
fcis-31522	105	13	y	y	PROPN
fcis-31522	105	14	d	d	PROPN
fcis-31522	105	15	,	,	PUNCT
fcis-31522	105	16	et	et	PROPN
fcis-31522	105	17	al	al	PROPN
fcis-31522	105	18	.	.	PUNCT
fcis-31522	106	1	an	an	DET
fcis-31522	106	2	adaptive	adaptive	ADJ
fcis-31522	106	3	threshold	threshold	NOUN
fcis-31522	106	4	for	for	ADP
fcis-31522	106	5	the	the	DET
fcis-31522	106	6	canny	canny	ADJ
fcis-31522	106	7	operator	operator	NOUN
fcis-31522	106	8	of	of	ADP
fcis-31522	106	9	edge	edge	NOUN
fcis-31522	106	10	detection[c	detection[c	NUM
fcis-31522	106	11	]	]	PUNCT
fcis-31522	106	12	proceedings	proceeding	NOUN
fcis-31522	106	13	of	of	ADP
fcis-31522	106	14	the	the	DET
fcis-31522	106	15	2010	2010	NUM
fcis-31522	106	16	international	international	ADJ
fcis-31522	106	17	conference	conference	NOUN
fcis-31522	106	18	on	on	ADP
fcis-31522	106	19	image	image	NOUN
fcis-31522	106	20	.	.	PUNCT
fcis-31522	107	1	analysis	analysis	NOUN
fcis-31522	107	2	and	and	CCONJ
fcis-31522	107	3	signal	signal	NOUN
fcis-31522	107	4	processing	processing	NOUN
fcis-31522	107	5	piscataway	piscataway	NOUN
fcis-31522	107	6	:	:	PUNCT
fcis-31522	107	7	ieee	ieee	NOUN
fcis-31522	107	8	,	,	PUNCT
fcis-31522	107	9	2010:371	2010:371	NUM
fcis-31522	107	10	-	-	SYM
fcis-31522	107	11	374	374	NUM
fcis-31522	107	12	.	.	PUNCT
fcis-31522	108	1	[	[	X
fcis-31522	108	2	2	2	X
fcis-31522	108	3	]	]	X
fcis-31522	108	4	liu	liu	PROPN
fcis-31522	108	5	c	c	PROPN
fcis-31522	108	6	j	j	PROPN
fcis-31522	108	7	,	,	PUNCT
fcis-31522	108	8	ding	de	VERB
fcis-31522	108	9	w	w	PROPN
fcis-31522	108	10	f	f	PROPN
fcis-31522	108	11	,	,	PUNCT
fcis-31522	108	12	et	et	PROPN
fcis-31522	108	13	al	al	PROPN
fcis-31522	108	14	.	.	PROPN
fcis-31522	108	15	prediction	prediction	NOUN
fcis-31522	108	16	of	of	ADP
fcis-31522	108	17	highspeed	highspeed	NOUN
fcis-31522	108	18	grinding	grind	VERB
fcis-31522	108	19	temperature	temperature	NOUN
fcis-31522	108	20	of	of	ADP
fcis-31522	108	21	titanium	titanium	NOUN
fcis-31522	108	22	matrix	matrix	NOUN
fcis-31522	108	23	composites	composite	NOUN
fcis-31522	108	24	using	use	VERB
fcis-31522	108	25	bp	bp	PROPN
fcis-31522	108	26	neural	neural	ADJ
fcis-31522	108	27	network	network	PROPN
fcis-31522	108	28	basedon	basedon	PROPN
fcis-31522	108	29	pso	pso	PROPN
fcis-31522	108	30	algorithm[j	algorithm[j	PROPN
fcis-31522	108	31	]	]	PUNCT
fcis-31522	108	32	.	.	PUNCT
fcis-31522	109	1	international	international	ADJ
fcis-31522	109	2	journal	journal	PROPN
fcis-31522	109	3	of	of	ADP
fcis-31522	109	4	advanced	advanced	ADJ
fcis-31522	109	5	manufacturing	manufacturing	NOUN
fcis-31522	109	6	technology	technology	NOUN
fcis-31522	109	7	,	,	PUNCT
fcis-31522	109	8	2017	2017	NUM
fcis-31522	109	9	,	,	PUNCT
fcis-31522	109	10	89(5	89(5	NOUN
fcis-31522	109	11	-	-	SYM
fcis-31522	109	12	8)	8)	NUM
fcis-31522	109	13	:	:	PUNCT
fcis-31522	109	14	22772285	22772285	NUM
fcis-31522	109	15	.	.	PUNCT
fcis-31522	110	1	[	[	X
fcis-31522	110	2	3	3	X
fcis-31522	110	3	]	]	X
fcis-31522	110	4	liu	liu	PROPN
fcis-31522	110	5	b	b	PROPN
fcis-31522	110	6	,	,	PUNCT
fcis-31522	110	7	wang	wang	PROPN
fcis-31522	110	8	l	l	PROPN
fcis-31522	110	9	,	,	PUNCT
fcis-31522	110	10	jin	jin	PROPN
fcis-31522	110	11	y	y	PROPN
fcis-31522	110	12	,	,	PUNCT
fcis-31522	110	13	et	et	PROPN
fcis-31522	110	14	al	al	PROPN
fcis-31522	110	15	.	.	PUNCT
fcis-31522	111	1	designing	design	VERB
fcis-31522	111	2	neural	neural	ADJ
fcis-31522	111	3	networks	network	NOUN
fcis-31522	111	4	using	use	VERB
fcis-31522	111	5	hybrid	hybrid	ADJ
fcis-31522	111	6	particle	particle	NOUN
fcis-31522	111	7	swarm	swarm	NOUN
fcis-31522	111	8	optimization[c	optimization[c	PROPN
fcis-31522	111	9	]	]	PUNCT
fcis-31522	111	10	.	.	PUNCT
fcis-31522	112	1	international	international	ADJ
fcis-31522	112	2	symposium	symposium	NOUN
fcis-31522	112	3	on	on	ADP
fcis-31522	112	4	neural	neural	ADJ
fcis-31522	112	5	net	net	ADJ
fcis-31522	112	6	works	work	NOUN
fcis-31522	112	7	.	.	PUNCT
fcis-31522	113	1	springer	springer	PROPN
fcis-31522	113	2	berlin	berlin	PROPN
fcis-31522	113	3	heidelberg	heidelberg	PROPN
fcis-31522	113	4	,	,	PUNCT
fcis-31522	113	5	2005	2005	NUM
fcis-31522	113	6	:	:	PUNCT
fcis-31522	113	7	391	391	NUM
fcis-31522	113	8	-	-	SYM
fcis-31522	113	9	397	397	NUM
fcis-31522	113	10	.	.	PUNCT
fcis-31522	114	1	[	[	X
fcis-31522	114	2	4	4	NUM
fcis-31522	114	3	]	]	SYM
fcis-31522	114	4	nawi	nawi	ADJ
fcis-31522	114	5	n	n	PROPN
fcis-31522	114	6	m	m	PROPN
fcis-31522	114	7	,	,	PUNCT
fcis-31522	114	8	khan	khan	PROPN
fcis-31522	114	9	a	a	PRON
fcis-31522	114	10	,	,	PUNCT
fcis-31522	114	11	rehman	rehman	PROPN
fcis-31522	114	12	m	m	PROPN
fcis-31522	114	13	z.	z.	PROPN
fcis-31522	115	1	a	a	DET
fcis-31522	115	2	new	new	PROPN
fcis-31522	115	3	levenberg	levenberg	PROPN
fcis-31522	115	4	marquardt	marquardt	PROPN
fcis-31522	115	5	based	base	VERB
fcis-31522	115	6	back	back	NOUN
fcis-31522	115	7	propagation	propagation	NOUN
fcis-31522	115	8	algorithm	algorithm	NOUN
fcis-31522	115	9	trained	train	VERB
fcis-31522	115	10	with	with	ADP
fcis-31522	115	11	cuckoo	cuckoo	NOUN
fcis-31522	115	12	search[j	search[j	PROPN
fcis-31522	115	13	]	]	PUNCT
fcis-31522	115	14	.	.	PUNCT
fcis-31522	116	1	procedia	procedia	PROPN
fcis-31522	116	2	technology	technology	PROPN
fcis-31522	116	3	,	,	PUNCT
fcis-31522	116	4	2013	2013	NUM
fcis-31522	116	5	,	,	PUNCT
fcis-31522	116	6	11(1	11(1	NUM
fcis-31522	116	7	):	):	PUNCT
fcis-31522	116	8	(	(	PUNCT
fcis-31522	116	9	18	18	NUM
fcis-31522	116	10	-	-	SYM
fcis-31522	116	11	23	23	NUM
fcis-31522	116	12	)	)	PUNCT
fcis-31522	116	13	.	.	PUNCT
fcis-31522	117	1	[	[	X
fcis-31522	117	2	5	5	X
fcis-31522	117	3	]	]	X
fcis-31522	117	4	huang	huang	PROPN
fcis-31522	117	5	y	y	PROPN
fcis-31522	117	6	q	q	PROPN
fcis-31522	117	7	,	,	PUNCT
fcis-31522	117	8	zhang	zhang	PROPN
fcis-31522	117	9	j	j	PROPN
fcis-31522	117	10	,	,	PUNCT
fcis-31522	117	11	li	li	PROPN
fcis-31522	117	12	x	x	PROPN
fcis-31522	117	13	,	,	PUNCT
fcis-31522	117	14	et	et	PROPN
fcis-31522	117	15	al	al	PROPN
fcis-31522	117	16	.	.	PUNCT
fcis-31522	117	17	thermal	thermal	ADJ
fcis-31522	117	18	error	error	NOUN
fcis-31522	117	19	modeling	modeling	NOUN
fcis-31522	117	20	by	by	ADP
fcis-31522	117	21	integrating	integrate	VERB
fcis-31522	117	22	ga	ga	PROPN
fcis-31522	117	23	and	and	CCONJ
fcis-31522	117	24	bp	bp	PROPN
fcis-31522	117	25	algorithms	algorithms	PROPN
fcis-31522	117	26	for	for	ADP
fcis-31522	117	27	the	the	DET
fcis-31522	117	28	highspeed	highspeed	NOUN
fcis-31522	117	29	spindle[j	spindle[j	NOUN
fcis-31522	117	30	]	]	PUNCT
fcis-31522	117	31	.	.	PUNCT
fcis-31522	118	1	the	the	DET
fcis-31522	118	2	international	international	ADJ
fcis-31522	118	3	journal	journal	NOUN
fcis-31522	118	4	of	of	ADP
fcis-31522	118	5	dvanced	dvanced	ADJ
fcis-31522	118	6	manufacturing	manufacturing	NOUN
fcis-31522	118	7	technology	technology	NOUN
fcis-31522	118	8	,	,	PUNCT
fcis-31522	118	9	2014	2014	NUM
fcis-31522	118	10	,	,	PUNCT
fcis-31522	118	11	71(9	71(9	NOUN
fcis-31522	118	12	-	-	SYM
fcis-31522	118	13	12	12	NUM
fcis-31522	118	14	):	):	PUNCT
fcis-31522	118	15	1669	1669	NUM
fcis-31522	118	16	-	-	SYM
fcis-31522	118	17	1675	1675	NUM
fcis-31522	118	18	.	.	PUNCT
fcis-31522	119	1	11	11	NUM
fcis-31522	120	1	[	[	X
fcis-31522	120	2	6	6	NUM
fcis-31522	120	3	]	]	X
fcis-31522	120	4	xue	xue	PROPN
fcis-31522	120	5	hz	hz	PROPN
fcis-31522	120	6	,	,	PUNCT
fcis-31522	120	7	cui	cui	NOUN
fcis-31522	120	8	hw	hw	PRON
fcis-31522	120	9	.	.	PUNCT
fcis-31522	121	1	research	research	NOUN
fcis-31522	121	2	on	on	ADP
fcis-31522	121	3	image	image	NOUN
fcis-31522	121	4	restoration	restoration	NOUN
fcis-31522	121	5	algorithms	algorithm	NOUN
fcis-31522	121	6	baseed	baseed	NOUN
fcis-31522	121	7	on	on	ADP
fcis-31522	121	8	bp	bp	PROPN
fcis-31522	121	9	neural	neural	PROPN
fcis-31522	121	10	network[j	network[j	PROPN
fcis-31522	121	11	]	]	PUNCT
fcis-31522	121	12	.	.	PUNCT
fcis-31522	122	1	joural	joural	ADJ
fcis-31522	122	2	of	of	ADP
fcis-31522	122	3	communication	communication	NOUN
fcis-31522	122	4	and	and	CCONJ
fcis-31522	122	5	image	image	NOUN
fcis-31522	122	6	represention	represention	NOUN
fcis-31522	122	7	,	,	PUNCT
fcis-31522	122	8	2019	2019	NUM
fcis-31522	122	9	,	,	PUNCT
fcis-31522	122	10	59(204	59(204	NOUN
fcis-31522	122	11	-	-	PUNCT
fcis-31522	122	12	209	209	NUM
fcis-31522	122	13	)	)	PUNCT
fcis-31522	122	14	.	.	PUNCT
fcis-31522	123	1	[	[	X
fcis-31522	123	2	7	7	X
fcis-31522	123	3	]	]	X
fcis-31522	123	4	p	p	X
fcis-31522	123	5	barthelemy	barthelemy	PROPN
fcis-31522	123	6	,	,	PUNCT
fcis-31522	123	7	j	j	PROPN
fcis-31522	123	8	bertolotti	bertolotti	PROPN
fcis-31522	123	9	.	.	PUNCT
fcis-31522	124	1	a	a	DET
fcis-31522	124	2	lvy	lvy	ADJ
fcis-31522	124	3	flight	flight	NOUN
fcis-31522	124	4	for	for	ADP
fcis-31522	124	5	light.nature	light.nature	NOUN
fcis-31522	124	6	,	,	PUNCT
fcis-31522	124	7	2008	2008	NUM
fcis-31522	124	8	,	,	PUNCT
fcis-31522	124	9	453(7194	453(7194	NUM
fcis-31522	124	10	):	):	PUNCT
fcis-31522	124	11	495	495	NUM
fcis-31522	124	12	-	-	PUNCT
fcis-31522	124	13	498	498	NUM
fcis-31522	124	14	.	.	PUNCT
fcis-31522	125	1	[	[	X
fcis-31522	125	2	8	8	NUM
fcis-31522	125	3	]	]	X
fcis-31522	125	4	m	m	VERB
fcis-31522	125	5	f	f	NOUN
fcis-31522	125	6	shlesing	shlesing	NOUN
fcis-31522	125	7	.	.	PUNCT
fcis-31522	126	1	mathematical	mathematical	ADJ
fcis-31522	126	2	physics	physics	NOUN
fcis-31522	126	3	:	:	PUNCT
fcis-31522	126	4	search	search	NOUN
fcis-31522	126	5	research	research	NOUN
fcis-31522	126	6	nature	nature	NOUN
fcis-31522	126	7	,	,	PUNCT
fcis-31522	126	8	2006	2006	NUM
fcis-31522	126	9	,	,	PUNCT
fcis-31522	126	10	443(7109	443(7109	NUM
fcis-31522	126	11	):	):	PUNCT
fcis-31522	126	12	281	281	NUM
fcis-31522	126	13	-	-	SYM
fcis-31522	126	14	282	282	NUM
fcis-31522	126	15	.	.	PUNCT
fcis-31522	127	1	[	[	X
fcis-31522	127	2	9	9	NUM
fcis-31522	127	3	]	]	SYM
fcis-31522	127	4	x	x	SYM
fcis-31522	127	5	s	s	PROPN
fcis-31522	127	6	yang	yang	PROPN
fcis-31522	127	7	,	,	PUNCT
fcis-31522	127	8	s	s	PART
fcis-31522	127	9	deb	deb	PROPN
fcis-31522	127	10	.	.	PUNCT
fcis-31522	128	1	engineering	engineering	NOUN
fcis-31522	128	2	optimisation	optimisation	NOUN
fcis-31522	128	3	by	by	ADP
fcis-31522	128	4	cuckoo	cuckoo	NOUN
fcis-31522	128	5	search	search	NOUN
fcis-31522	129	1	[	[	X
fcis-31522	129	2	j	j	X
fcis-31522	129	3	]	]	X
fcis-31522	129	4	.	.	PUNCT
fcis-31522	130	1	international	international	ADJ
fcis-31522	130	2	journal	journal	PROPN
fcis-31522	130	3	of	of	ADP
fcis-31522	130	4	mathematical	mathematical	ADJ
fcis-31522	130	5	modelling	modelling	NOUN
fcis-31522	130	6	and	and	CCONJ
fcis-31522	130	7	numerical	numerical	ADJ
fcis-31522	130	8	optimisation	optimisation	NOUN
fcis-31522	130	9	,	,	PUNCT
fcis-31522	130	10	2010	2010	NUM
fcis-31522	130	11	,	,	PUNCT
fcis-31522	130	12	1(4	1(4	NUM
fcis-31522	130	13	):	):	PUNCT
fcis-31522	130	14	330	330	NUM
fcis-31522	130	15	-	-	SYM
fcis-31522	130	16	343	343	NUM
fcis-31522	130	17	.	.	PUNCT