id	sid	tid	token	lemma	pos
fcis-14568	1	1	frontiers	frontier	NOUN
fcis-14568	1	2	in	in	ADP
fcis-14568	1	3	computing	computing	NOUN
fcis-14568	1	4	and	and	CCONJ
fcis-14568	1	5	intelligent	intelligent	ADJ
fcis-14568	1	6	systems	system	NOUN
fcis-14568	1	7	issn	issn	VERB
fcis-14568	1	8	:	:	PUNCT
fcis-14568	1	9	2832	2832	NUM
fcis-14568	1	10	-	-	SYM
fcis-14568	1	11	6024	6024	NUM
fcis-14568	1	12	|	|	NOUN
fcis-14568	1	13	vol	vol	NOUN
fcis-14568	1	14	.	.	PROPN
fcis-14568	2	1	6	6	NUM
fcis-14568	2	2	,	,	PUNCT
fcis-14568	2	3	no	no	INTJ
fcis-14568	2	4	.	.	NOUN
fcis-14568	2	5	1	1	NUM
fcis-14568	2	6	,	,	PUNCT
fcis-14568	2	7	2023	2023	NUM
fcis-14568	2	8	22	22	NUM
fcis-14568	2	9	classification	classification	NOUN
fcis-14568	2	10	method	method	NOUN
fcis-14568	2	11	for	for	ADP
fcis-14568	2	12	railway	railway	NOUN
fcis-14568	2	13	tunnel	tunnel	NOUN
fcis-14568	2	14	secondary	secondary	ADJ
fcis-14568	2	15	lining	line	VERB
fcis-14568	2	16	cold	cold	ADJ
fcis-14568	2	17	joint	joint	ADJ
fcis-14568	2	18	detection	detection	NOUN
fcis-14568	2	19	based	base	VERB
fcis-14568	2	20	on	on	ADP
fcis-14568	2	21	cnn‐bilstm‐svm	cnn‐bilstm‐svm	NOUN
fcis-14568	2	22	model	model	NOUN
fcis-14568	2	23	with	with	ADP
fcis-14568	2	24	improved	improve	VERB
fcis-14568	2	25	hybrid	hybrid	ADJ
fcis-14568	2	26	leader	leader	NOUN
fcis-14568	2	27	algorithm	algorithm	NOUN
fcis-14568	2	28	honggu	honggu	VERB
fcis-14568	2	29	zhu	zhu	PROPN
fcis-14568	2	30	1	1	NUM
fcis-14568	2	31	,	,	PUNCT
fcis-14568	2	32	jiaye	jiaye	VERB
fcis-14568	2	33	wu	wu	PROPN
fcis-14568	2	34	2	2	NUM
fcis-14568	2	35	,	,	PUNCT
fcis-14568	2	36	*	*	PUNCT
fcis-14568	2	37	1	1	NUM
fcis-14568	2	38	school	school	NOUN
fcis-14568	2	39	of	of	ADP
fcis-14568	2	40	automation	automation	NOUN
fcis-14568	2	41	and	and	CCONJ
fcis-14568	2	42	information	information	NOUN
fcis-14568	2	43	engineering	engineering	NOUN
fcis-14568	2	44	,	,	PUNCT
fcis-14568	2	45	sichuan	sichuan	PROPN
fcis-14568	2	46	university	university	PROPN
fcis-14568	2	47	of	of	ADP
fcis-14568	2	48	science	science	PROPN
fcis-14568	2	49	&	&	CCONJ
fcis-14568	2	50	engineering	engineering	PROPN
fcis-14568	2	51	,	,	PUNCT
fcis-14568	2	52	yibin	yibin	PROPN
fcis-14568	2	53	,	,	PUNCT
fcis-14568	2	54	china	china	PROPN
fcis-14568	2	55	2	2	NUM
fcis-14568	2	56	school	school	NOUN
fcis-14568	2	57	of	of	ADP
fcis-14568	2	58	mechanical	mechanical	ADJ
fcis-14568	2	59	engineering	engineering	NOUN
fcis-14568	2	60	,	,	PUNCT
fcis-14568	2	61	southwest	southwest	ADJ
fcis-14568	2	62	petroleum	petroleum	PROPN
fcis-14568	2	63	university	university	PROPN
fcis-14568	2	64	,	,	PUNCT
fcis-14568	2	65	chengdu	chengdu	PROPN
fcis-14568	2	66	,	,	PUNCT
fcis-14568	2	67	china	china	PROPN
fcis-14568	2	68	*	*	PUNCT
fcis-14568	2	69	corresponding	correspond	VERB
fcis-14568	2	70	author	author	NOUN
fcis-14568	2	71	:	:	PUNCT
fcis-14568	2	72	jiaye	jiaye	PROPN
fcis-14568	2	73	wu	wu	PROPN
fcis-14568	2	74	abstract	abstract	PROPN
fcis-14568	2	75	:	:	PUNCT
fcis-14568	2	76	cold	cold	ADJ
fcis-14568	2	77	joints	joint	NOUN
fcis-14568	2	78	pose	pose	VERB
fcis-14568	2	79	great	great	ADJ
fcis-14568	2	80	safety	safety	NOUN
fcis-14568	2	81	risks	risk	NOUN
fcis-14568	2	82	to	to	ADP
fcis-14568	2	83	the	the	DET
fcis-14568	2	84	safe	safe	ADJ
fcis-14568	2	85	operation	operation	NOUN
fcis-14568	2	86	of	of	ADP
fcis-14568	2	87	railways	railway	NOUN
fcis-14568	2	88	.	.	PUNCT
fcis-14568	3	1	in	in	ADP
fcis-14568	3	2	view	view	NOUN
fcis-14568	3	3	of	of	ADP
fcis-14568	3	4	the	the	DET
fcis-14568	3	5	existing	exist	VERB
fcis-14568	3	6	cold	cold	ADJ
fcis-14568	3	7	joint	joint	ADJ
fcis-14568	3	8	detection	detection	NOUN
fcis-14568	3	9	methods	method	NOUN
fcis-14568	3	10	,	,	PUNCT
fcis-14568	3	11	which	which	PRON
fcis-14568	3	12	have	have	VERB
fcis-14568	3	13	low	low	ADJ
fcis-14568	3	14	detection	detection	NOUN
fcis-14568	3	15	efficiency	efficiency	NOUN
fcis-14568	3	16	and	and	CCONJ
fcis-14568	3	17	difficulty	difficulty	NOUN
fcis-14568	3	18	in	in	ADP
fcis-14568	3	19	data	data	NOUN
fcis-14568	3	20	analysis	analysis	NOUN
fcis-14568	3	21	,	,	PUNCT
fcis-14568	3	22	a	a	DET
fcis-14568	3	23	tunnel	tunnel	NOUN
fcis-14568	3	24	secondary	secondary	ADJ
fcis-14568	3	25	lining	line	VERB
fcis-14568	3	26	cold	cold	ADJ
fcis-14568	3	27	joint	joint	ADJ
fcis-14568	3	28	detection	detection	NOUN
fcis-14568	3	29	classification	classification	NOUN
fcis-14568	3	30	method	method	NOUN
fcis-14568	3	31	based	base	VERB
fcis-14568	3	32	on	on	ADP
fcis-14568	3	33	the	the	DET
fcis-14568	3	34	improved	improve	VERB
fcis-14568	3	35	hybrid	hybrid	NOUN
fcis-14568	3	36	leader	leader	NOUN
fcis-14568	3	37	cnn	cnn	PROPN
fcis-14568	3	38	-	-	PUNCT
fcis-14568	3	39	bilstm	bilstm	NOUN
fcis-14568	3	40	-	-	PUNCT
fcis-14568	3	41	svm	svm	NOUN
fcis-14568	3	42	model	model	NOUN
fcis-14568	3	43	is	be	AUX
fcis-14568	3	44	proposed	propose	VERB
fcis-14568	3	45	.	.	PUNCT
fcis-14568	4	1	first	first	ADV
fcis-14568	4	2	,	,	PUNCT
fcis-14568	4	3	the	the	DET
fcis-14568	4	4	rayleigh	rayleigh	PROPN
fcis-14568	4	5	wave	wave	NOUN
fcis-14568	4	6	method	method	NOUN
fcis-14568	4	7	is	be	AUX
fcis-14568	4	8	used	use	VERB
fcis-14568	4	9	to	to	PART
fcis-14568	4	10	extract	extract	VERB
fcis-14568	4	11	the	the	DET
fcis-14568	4	12	waveform	waveform	NOUN
fcis-14568	4	13	information	information	NOUN
fcis-14568	4	14	of	of	ADP
fcis-14568	4	15	the	the	DET
fcis-14568	4	16	cold	cold	ADJ
fcis-14568	4	17	joints	joint	NOUN
fcis-14568	4	18	.	.	PUNCT
fcis-14568	5	1	secondly	secondly	ADV
fcis-14568	5	2	,	,	PUNCT
fcis-14568	5	3	cnn	cnn	PROPN
fcis-14568	5	4	-	-	PUNCT
fcis-14568	5	5	bilstm	bilstm	NOUN
fcis-14568	5	6	is	be	AUX
fcis-14568	5	7	used	use	VERB
fcis-14568	5	8	to	to	PART
fcis-14568	5	9	perform	perform	VERB
fcis-14568	5	10	feature	feature	NOUN
fcis-14568	5	11	extraction	extraction	NOUN
fcis-14568	5	12	and	and	CCONJ
fcis-14568	5	13	fusion	fusion	NOUN
fcis-14568	5	14	processing	processing	NOUN
fcis-14568	5	15	on	on	ADP
fcis-14568	5	16	the	the	DET
fcis-14568	5	17	waveform	waveform	NOUN
fcis-14568	5	18	information	information	NOUN
fcis-14568	5	19	and	and	CCONJ
fcis-14568	5	20	then	then	ADV
fcis-14568	5	21	input	input	VERB
fcis-14568	5	22	into	into	ADP
fcis-14568	5	23	the	the	DET
fcis-14568	5	24	support	support	NOUN
fcis-14568	5	25	vector	vector	NOUN
fcis-14568	5	26	machine	machine	NOUN
fcis-14568	5	27	,	,	PUNCT
fcis-14568	5	28	and	and	CCONJ
fcis-14568	5	29	the	the	DET
fcis-14568	5	30	improved	improved	ADJ
fcis-14568	5	31	hybrid	hybrid	NOUN
fcis-14568	5	32	leader	leader	NOUN
fcis-14568	5	33	algorithm	algorithm	NOUN
fcis-14568	5	34	is	be	AUX
fcis-14568	5	35	used	use	VERB
fcis-14568	5	36	to	to	PART
fcis-14568	5	37	optimize	optimize	VERB
fcis-14568	5	38	the	the	DET
fcis-14568	5	39	parameters	parameter	NOUN
fcis-14568	5	40	in	in	ADP
fcis-14568	5	41	the	the	DET
fcis-14568	5	42	svm	svm	PROPN
fcis-14568	5	43	.	.	PUNCT
fcis-14568	6	1	finally	finally	ADV
fcis-14568	6	2	,	,	PUNCT
fcis-14568	6	3	the	the	DET
fcis-14568	6	4	information	information	NOUN
fcis-14568	6	5	is	be	AUX
fcis-14568	6	6	input	input	VERB
fcis-14568	6	7	into	into	ADP
fcis-14568	6	8	the	the	DET
fcis-14568	6	9	optimized	optimize	VERB
fcis-14568	6	10	cnnbilstm	cnnbilstm	NOUN
fcis-14568	6	11	-	-	PUNCT
fcis-14568	6	12	svm	svm	PROPN
fcis-14568	6	13	to	to	PART
fcis-14568	6	14	obtain	obtain	VERB
fcis-14568	6	15	the	the	DET
fcis-14568	6	16	cold	cold	ADJ
fcis-14568	6	17	joints	joint	NOUN
fcis-14568	6	18	detection	detection	NOUN
fcis-14568	6	19	classification	classification	NOUN
fcis-14568	6	20	results	result	NOUN
fcis-14568	6	21	.	.	PUNCT
fcis-14568	7	1	in	in	ADP
fcis-14568	7	2	order	order	NOUN
fcis-14568	7	3	to	to	PART
fcis-14568	7	4	verify	verify	VERB
fcis-14568	7	5	the	the	DET
fcis-14568	7	6	effectiveness	effectiveness	NOUN
fcis-14568	7	7	of	of	ADP
fcis-14568	7	8	this	this	DET
fcis-14568	7	9	method	method	NOUN
fcis-14568	7	10	,	,	PUNCT
fcis-14568	7	11	the	the	DET
fcis-14568	7	12	waveform	waveform	NOUN
fcis-14568	7	13	data	datum	NOUN
fcis-14568	7	14	collected	collect	VERB
fcis-14568	7	15	using	use	VERB
fcis-14568	7	16	the	the	DET
fcis-14568	7	17	rayleigh	rayleigh	PROPN
fcis-14568	7	18	wave	wave	NOUN
fcis-14568	7	19	method	method	NOUN
fcis-14568	7	20	in	in	ADP
fcis-14568	7	21	the	the	DET
fcis-14568	7	22	tunnel	tunnel	NOUN
fcis-14568	7	23	under	under	ADP
fcis-14568	7	24	construction	construction	NOUN
fcis-14568	7	25	and	and	CCONJ
fcis-14568	7	26	the	the	DET
fcis-14568	7	27	verified	verified	ADJ
fcis-14568	7	28	coring	core	VERB
fcis-14568	7	29	detection	detection	NOUN
fcis-14568	7	30	results	result	NOUN
fcis-14568	7	31	are	be	AUX
fcis-14568	7	32	used	use	VERB
fcis-14568	7	33	as	as	SCONJ
fcis-14568	7	34	the	the	DET
fcis-14568	7	35	data	datum	NOUN
fcis-14568	7	36	set	set	VERB
fcis-14568	7	37	.	.	PUNCT
fcis-14568	8	1	the	the	DET
fcis-14568	8	2	results	result	NOUN
fcis-14568	8	3	show	show	VERB
fcis-14568	8	4	that	that	SCONJ
fcis-14568	8	5	the	the	DET
fcis-14568	8	6	results	result	NOUN
fcis-14568	8	7	of	of	ADP
fcis-14568	8	8	this	this	DET
fcis-14568	8	9	method	method	NOUN
fcis-14568	8	10	are	be	AUX
fcis-14568	8	11	higher	high	ADJ
fcis-14568	8	12	than	than	ADP
fcis-14568	8	13	the	the	DET
fcis-14568	8	14	unoptimized	unoptimized	ADJ
fcis-14568	8	15	cnn	cnn	NOUN
fcis-14568	8	16	-	-	PUNCT
fcis-14568	8	17	bilstmsvm	bilstmsvm	PROPN
fcis-14568	8	18	and	and	CCONJ
fcis-14568	8	19	the	the	DET
fcis-14568	8	20	cnn	cnn	PROPN
fcis-14568	8	21	-	-	PUNCT
fcis-14568	8	22	bilstm	bilstm	NOUN
fcis-14568	8	23	-	-	PUNCT
fcis-14568	8	24	svm	svm	NOUN
fcis-14568	8	25	optimized	optimize	VERB
fcis-14568	8	26	by	by	ADP
fcis-14568	8	27	the	the	DET
fcis-14568	8	28	seagull	seagull	NOUN
fcis-14568	8	29	optimization	optimization	NOUN
fcis-14568	8	30	algorithm	algorithm	NOUN
fcis-14568	8	31	and	and	CCONJ
fcis-14568	8	32	the	the	DET
fcis-14568	8	33	sparrow	sparrow	ADJ
fcis-14568	8	34	search	search	NOUN
fcis-14568	8	35	optimization	optimization	NOUN
fcis-14568	8	36	algorithm	algorithm	NOUN
fcis-14568	8	37	.	.	PUNCT
fcis-14568	9	1	keywords	keyword	NOUN
fcis-14568	9	2	:	:	PUNCT
fcis-14568	9	3	cold	cold	ADJ
fcis-14568	9	4	joints	joint	NOUN
fcis-14568	9	5	;	;	PUNCT
fcis-14568	9	6	improved	improve	VERB
fcis-14568	9	7	hybrid	hybrid	ADJ
fcis-14568	9	8	leader	leader	NOUN
fcis-14568	9	9	algorithm	algorithm	NOUN
fcis-14568	9	10	;	;	PUNCT
fcis-14568	9	11	convolutional	convolutional	ADJ
fcis-14568	9	12	neural	neural	ADJ
fcis-14568	9	13	network	network	NOUN
fcis-14568	9	14	;	;	PUNCT
fcis-14568	9	15	bidirectional	bidirectional	ADJ
fcis-14568	9	16	long	long	ADJ
fcis-14568	9	17	short	short	ADJ
fcis-14568	9	18	-	-	PUNCT
fcis-14568	9	19	term	term	NOUN
fcis-14568	9	20	memory	memory	NOUN
fcis-14568	9	21	network	network	NOUN
fcis-14568	9	22	;	;	PUNCT
fcis-14568	9	23	support	support	NOUN
fcis-14568	9	24	vector	vector	NOUN
fcis-14568	9	25	machine	machine	NOUN
fcis-14568	9	26	.	.	PUNCT
fcis-14568	10	1	1	1	X
fcis-14568	10	2	.	.	X
fcis-14568	10	3	introduction	introduction	NOUN
fcis-14568	10	4	cold	cold	ADJ
fcis-14568	10	5	joints	joint	NOUN
fcis-14568	10	6	are	be	AUX
fcis-14568	10	7	common	common	ADJ
fcis-14568	10	8	concrete	concrete	ADJ
fcis-14568	10	9	defects	defect	NOUN
fcis-14568	10	10	[	[	X
fcis-14568	10	11	1	1	NUM
fcis-14568	10	12	]	]	PUNCT
fcis-14568	10	13	,	,	PUNCT
fcis-14568	10	14	which	which	PRON
fcis-14568	10	15	appear	appear	VERB
fcis-14568	10	16	as	as	ADP
fcis-14568	10	17	concrete	concrete	ADJ
fcis-14568	10	18	weak	weak	ADJ
fcis-14568	10	19	interface	interface	NOUN
fcis-14568	10	20	zones	zone	NOUN
fcis-14568	10	21	with	with	ADP
fcis-14568	10	22	certain	certain	ADJ
fcis-14568	10	23	visible	visible	ADJ
fcis-14568	10	24	distribution	distribution	NOUN
fcis-14568	10	25	characteristics	characteristic	NOUN
fcis-14568	10	26	.	.	PUNCT
fcis-14568	11	1	in	in	ADP
fcis-14568	11	2	the	the	DET
fcis-14568	11	3	past	past	ADJ
fcis-14568	11	4	two	two	NUM
fcis-14568	11	5	years	year	NOUN
fcis-14568	11	6	,	,	PUNCT
fcis-14568	11	7	railway	railway	NOUN
fcis-14568	11	8	derailments	derailment	NOUN
fcis-14568	11	9	caused	cause	VERB
fcis-14568	11	10	by	by	ADP
fcis-14568	11	11	pieces	piece	NOUN
fcis-14568	11	12	of	of	ADP
fcis-14568	11	13	tunnel	tunnel	NOUN
fcis-14568	11	14	lining	lining	NOUN
fcis-14568	11	15	caused	cause	VERB
fcis-14568	11	16	by	by	ADP
fcis-14568	11	17	cold	cold	ADJ
fcis-14568	11	18	joints	joint	NOUN
fcis-14568	11	19	have	have	AUX
fcis-14568	11	20	attracted	attract	VERB
fcis-14568	11	21	great	great	ADJ
fcis-14568	11	22	attention	attention	NOUN
fcis-14568	11	23	from	from	ADP
fcis-14568	11	24	the	the	DET
fcis-14568	11	25	country	country	NOUN
fcis-14568	11	26	.	.	PUNCT
fcis-14568	12	1	in	in	ADP
fcis-14568	12	2	the	the	DET
fcis-14568	12	3	past	past	NOUN
fcis-14568	12	4	,	,	PUNCT
fcis-14568	12	5	the	the	DET
fcis-14568	12	6	detection	detection	NOUN
fcis-14568	12	7	of	of	ADP
fcis-14568	12	8	cold	cold	ADJ
fcis-14568	12	9	joints	joint	NOUN
fcis-14568	12	10	in	in	ADP
fcis-14568	12	11	tunnels	tunnel	NOUN
fcis-14568	12	12	mainly	mainly	ADV
fcis-14568	12	13	relied	rely	VERB
fcis-14568	12	14	on	on	ADP
fcis-14568	12	15	manual	manual	ADJ
fcis-14568	12	16	detection	detection	NOUN
fcis-14568	12	17	.	.	PUNCT
fcis-14568	13	1	now	now	ADV
fcis-14568	13	2	wu	wu	PROPN
fcis-14568	14	1	[	[	X
fcis-14568	14	2	2	2	NUM
fcis-14568	14	3	]	]	PUNCT
fcis-14568	14	4	has	have	AUX
fcis-14568	14	5	proposed	propose	VERB
fcis-14568	14	6	the	the	DET
fcis-14568	14	7	rayleigh	rayleigh	PROPN
fcis-14568	14	8	wave	wave	NOUN
fcis-14568	14	9	in	in	ADP
fcis-14568	14	10	the	the	DET
fcis-14568	14	11	basic	basic	ADJ
fcis-14568	14	12	shock	shock	NOUN
fcis-14568	14	13	elastic	elastic	ADJ
fcis-14568	14	14	wave	wave	NOUN
fcis-14568	14	15	.	.	PUNCT
fcis-14568	15	1	as	as	ADP
fcis-14568	15	2	one	one	NUM
fcis-14568	15	3	of	of	ADP
fcis-14568	15	4	the	the	DET
fcis-14568	15	5	methods	method	NOUN
fcis-14568	15	6	of	of	ADP
fcis-14568	15	7	cold	cold	ADJ
fcis-14568	15	8	joints	joint	NOUN
fcis-14568	15	9	detection	detection	NOUN
fcis-14568	15	10	,	,	PUNCT
fcis-14568	15	11	the	the	DET
fcis-14568	15	12	principle	principle	NOUN
fcis-14568	15	13	is	be	AUX
fcis-14568	15	14	that	that	SCONJ
fcis-14568	15	15	cold	cold	ADJ
fcis-14568	15	16	joints	joint	NOUN
fcis-14568	15	17	will	will	AUX
fcis-14568	15	18	change	change	VERB
fcis-14568	15	19	the	the	DET
fcis-14568	15	20	energy	energy	NOUN
fcis-14568	15	21	and	and	CCONJ
fcis-14568	15	22	speed	speed	NOUN
fcis-14568	15	23	of	of	ADP
fcis-14568	15	24	rayleigh	rayleigh	PROPN
fcis-14568	15	25	waves	wave	NOUN
fcis-14568	15	26	[	[	X
fcis-14568	15	27	3	3	NUM
fcis-14568	15	28	]	]	PUNCT
fcis-14568	15	29	,	,	PUNCT
fcis-14568	15	30	and	and	CCONJ
fcis-14568	15	31	cold	cold	ADJ
fcis-14568	15	32	joints	joint	NOUN
fcis-14568	15	33	are	be	AUX
fcis-14568	15	34	identified	identify	VERB
fcis-14568	15	35	based	base	VERB
fcis-14568	15	36	on	on	ADP
fcis-14568	15	37	this	this	DET
fcis-14568	15	38	characteristic	characteristic	NOUN
fcis-14568	15	39	.	.	PUNCT
fcis-14568	16	1	however	however	ADV
fcis-14568	16	2	,	,	PUNCT
fcis-14568	16	3	this	this	DET
fcis-14568	16	4	method	method	NOUN
fcis-14568	16	5	has	have	VERB
fcis-14568	16	6	higher	high	ADJ
fcis-14568	16	7	requirements	requirement	NOUN
fcis-14568	16	8	for	for	ADP
fcis-14568	16	9	later	later	ADJ
fcis-14568	16	10	data	datum	NOUN
fcis-14568	16	11	analysis	analysis	NOUN
fcis-14568	16	12	.	.	PUNCT
fcis-14568	17	1	at	at	ADP
fcis-14568	17	2	present	present	ADJ
fcis-14568	17	3	,	,	PUNCT
fcis-14568	17	4	deep	deep	ADJ
fcis-14568	17	5	learning	learning	NOUN
fcis-14568	17	6	is	be	AUX
fcis-14568	17	7	increasingly	increasingly	ADV
fcis-14568	17	8	integrated	integrate	VERB
fcis-14568	17	9	with	with	ADP
fcis-14568	17	10	traditional	traditional	ADJ
fcis-14568	17	11	disciplines	discipline	NOUN
fcis-14568	17	12	.	.	PUNCT
fcis-14568	18	1	bp	bp	PROPN
fcis-14568	18	2	neural	neural	PROPN
fcis-14568	18	3	networks	network	NOUN
fcis-14568	18	4	[	[	X
fcis-14568	18	5	4	4	NUM
fcis-14568	18	6	]	]	PUNCT
fcis-14568	18	7	,	,	PUNCT
fcis-14568	18	8	convolutional	convolutional	ADJ
fcis-14568	18	9	neural	neural	ADJ
fcis-14568	18	10	networks[5	networks[5	NOUN
fcis-14568	18	11	]	]	PUNCT
fcis-14568	18	12	,	,	PUNCT
fcis-14568	18	13	recurrent	recurrent	ADJ
fcis-14568	18	14	neural	neural	ADJ
fcis-14568	18	15	networks[6	networks[6	NUM
fcis-14568	18	16	]	]	PUNCT
fcis-14568	18	17	,	,	PUNCT
fcis-14568	18	18	etc	etc	X
fcis-14568	18	19	.	.	X
fcis-14568	18	20	in	in	ADP
fcis-14568	18	21	deep	deep	ADJ
fcis-14568	18	22	learning	learning	NOUN
fcis-14568	18	23	can	can	AUX
fcis-14568	18	24	deeply	deeply	ADV
fcis-14568	18	25	mine	mine	VERB
fcis-14568	18	26	the	the	DET
fcis-14568	18	27	relevant	relevant	ADJ
fcis-14568	18	28	information	information	NOUN
fcis-14568	18	29	between	between	ADP
fcis-14568	18	30	data	datum	NOUN
fcis-14568	18	31	and	and	CCONJ
fcis-14568	18	32	reduce	reduce	VERB
fcis-14568	18	33	the	the	DET
fcis-14568	18	34	difficulty	difficulty	NOUN
fcis-14568	18	35	of	of	ADP
fcis-14568	18	36	data	datum	NOUN
fcis-14568	18	37	analysis	analysis	NOUN
fcis-14568	18	38	.	.	PUNCT
fcis-14568	19	1	a	a	DET
fcis-14568	19	2	new	new	ADJ
fcis-14568	19	3	solution	solution	NOUN
fcis-14568	19	4	that	that	PRON
fcis-14568	19	5	can	can	AUX
fcis-14568	19	6	also	also	ADV
fcis-14568	19	7	be	be	AUX
fcis-14568	19	8	used	use	VERB
fcis-14568	19	9	to	to	PART
fcis-14568	19	10	achieve	achieve	VERB
fcis-14568	19	11	the	the	DET
fcis-14568	19	12	classification	classification	NOUN
fcis-14568	19	13	task	task	NOUN
fcis-14568	19	14	of	of	ADP
fcis-14568	19	15	cold	cold	ADJ
fcis-14568	19	16	joints	joint	NOUN
fcis-14568	19	17	detection	detection	NOUN
fcis-14568	19	18	.	.	PUNCT
fcis-14568	20	1	the	the	DET
fcis-14568	20	2	convolutional	convolutional	ADJ
fcis-14568	20	3	neural	neural	ADJ
fcis-14568	20	4	network	network	NOUN
fcis-14568	20	5	can	can	AUX
fcis-14568	20	6	identify	identify	VERB
fcis-14568	20	7	the	the	DET
fcis-14568	20	8	spatial	spatial	ADJ
fcis-14568	20	9	characteristics	characteristic	NOUN
fcis-14568	20	10	of	of	ADP
fcis-14568	20	11	the	the	DET
fcis-14568	20	12	detection	detection	NOUN
fcis-14568	20	13	signal	signal	NOUN
fcis-14568	20	14	and	and	CCONJ
fcis-14568	20	15	avoid	avoid	VERB
fcis-14568	20	16	manual	manual	ADJ
fcis-14568	20	17	extraction	extraction	NOUN
fcis-14568	20	18	of	of	ADP
fcis-14568	20	19	physical	physical	ADJ
fcis-14568	20	20	signs	sign	NOUN
fcis-14568	20	21	.	.	PUNCT
fcis-14568	21	1	bilstm[7	bilstm[7	CCONJ
fcis-14568	21	2	]	]	PUNCT
fcis-14568	21	3	is	be	AUX
fcis-14568	21	4	a	a	DET
fcis-14568	21	5	type	type	NOUN
fcis-14568	21	6	of	of	ADP
fcis-14568	21	7	recurrent	recurrent	ADJ
fcis-14568	21	8	neural	neural	ADJ
fcis-14568	21	9	network	network	NOUN
fcis-14568	21	10	that	that	PRON
fcis-14568	21	11	can	can	AUX
fcis-14568	21	12	automatically	automatically	ADV
fcis-14568	21	13	learn	learn	VERB
fcis-14568	21	14	the	the	DET
fcis-14568	21	15	timing	timing	NOUN
fcis-14568	21	16	-	-	PUNCT
fcis-14568	21	17	related	relate	VERB
fcis-14568	21	18	features	feature	NOUN
fcis-14568	21	19	in	in	ADP
fcis-14568	21	20	the	the	DET
fcis-14568	21	21	cold	cold	ADJ
fcis-14568	21	22	joints	joint	NOUN
fcis-14568	21	23	detection	detection	NOUN
fcis-14568	21	24	signal	signal	NOUN
fcis-14568	21	25	.	.	PUNCT
fcis-14568	22	1	support	support	NOUN
fcis-14568	22	2	vector	vector	NOUN
fcis-14568	22	3	machine	machine	NOUN
fcis-14568	23	1	[	[	X
fcis-14568	23	2	8	8	NUM
fcis-14568	23	3	]	]	PUNCT
fcis-14568	23	4	is	be	AUX
fcis-14568	23	5	a	a	DET
fcis-14568	23	6	common	common	ADJ
fcis-14568	23	7	classification	classification	NOUN
fcis-14568	23	8	method	method	NOUN
fcis-14568	23	9	in	in	ADP
fcis-14568	23	10	machine	machine	NOUN
fcis-14568	23	11	learning	learning	NOUN
fcis-14568	23	12	.	.	PUNCT
fcis-14568	24	1	it	it	PRON
fcis-14568	24	2	adapts	adapt	VERB
fcis-14568	24	3	to	to	ADP
fcis-14568	24	4	different	different	ADJ
fcis-14568	24	5	data	datum	NOUN
fcis-14568	24	6	types	type	NOUN
fcis-14568	24	7	and	and	CCONJ
fcis-14568	24	8	problems	problem	NOUN
fcis-14568	24	9	by	by	ADP
fcis-14568	24	10	introducing	introduce	VERB
fcis-14568	24	11	different	different	ADJ
fcis-14568	24	12	kernel	kernel	NOUN
fcis-14568	24	13	functions	function	NOUN
fcis-14568	24	14	to	to	PART
fcis-14568	24	15	further	far	ADV
fcis-14568	24	16	improve	improve	VERB
fcis-14568	24	17	the	the	DET
fcis-14568	24	18	accuracy	accuracy	NOUN
fcis-14568	24	19	and	and	CCONJ
fcis-14568	24	20	performance	performance	NOUN
fcis-14568	24	21	of	of	ADP
fcis-14568	24	22	the	the	DET
fcis-14568	24	23	model	model	NOUN
fcis-14568	24	24	.	.	PUNCT
fcis-14568	25	1	however	however	ADV
fcis-14568	25	2	,	,	PUNCT
fcis-14568	25	3	the	the	DET
fcis-14568	25	4	selection	selection	NOUN
fcis-14568	25	5	and	and	CCONJ
fcis-14568	25	6	penalty	penalty	NOUN
fcis-14568	25	7	of	of	ADP
fcis-14568	25	8	kernel	kernel	PROPN
fcis-14568	25	9	function	function	PROPN
fcis-14568	25	10	parameters	parameter	NOUN
fcis-14568	25	11	parameters	parameter	NOUN
fcis-14568	25	12	have	have	VERB
fcis-14568	25	13	a	a	DET
fcis-14568	25	14	great	great	ADJ
fcis-14568	25	15	impact	impact	NOUN
fcis-14568	25	16	on	on	ADP
fcis-14568	25	17	the	the	DET
fcis-14568	25	18	model	model	NOUN
fcis-14568	25	19	.	.	PUNCT
fcis-14568	26	1	through	through	ADP
fcis-14568	26	2	searching	search	VERB
fcis-14568	26	3	domestic	domestic	ADJ
fcis-14568	26	4	and	and	CCONJ
fcis-14568	26	5	foreign	foreign	ADJ
fcis-14568	26	6	literature	literature	NOUN
fcis-14568	26	7	,	,	PUNCT
fcis-14568	26	8	no	no	DET
fcis-14568	26	9	relevant	relevant	ADJ
fcis-14568	26	10	articles	article	NOUN
fcis-14568	26	11	on	on	ADP
fcis-14568	26	12	the	the	DET
fcis-14568	26	13	combination	combination	NOUN
fcis-14568	26	14	of	of	ADP
fcis-14568	26	15	cold	cold	ADJ
fcis-14568	26	16	joint	joint	ADJ
fcis-14568	26	17	nondestructive	nondestructive	ADJ
fcis-14568	26	18	testing	testing	NOUN
fcis-14568	26	19	of	of	ADP
fcis-14568	26	20	concrete	concrete	ADJ
fcis-14568	26	21	and	and	CCONJ
fcis-14568	26	22	deep	deep	ADJ
fcis-14568	26	23	learning	learning	NOUN
fcis-14568	26	24	or	or	CCONJ
fcis-14568	26	25	machine	machine	NOUN
fcis-14568	26	26	learning	learning	NOUN
fcis-14568	26	27	have	have	AUX
fcis-14568	26	28	been	be	AUX
fcis-14568	26	29	found	find	VERB
fcis-14568	26	30	.	.	PUNCT
fcis-14568	27	1	based	base	VERB
fcis-14568	27	2	on	on	ADP
fcis-14568	27	3	the	the	DET
fcis-14568	27	4	above	above	ADJ
fcis-14568	27	5	problems	problem	NOUN
fcis-14568	27	6	,	,	PUNCT
fcis-14568	27	7	this	this	DET
fcis-14568	27	8	paper	paper	NOUN
fcis-14568	27	9	proposes	propose	VERB
fcis-14568	27	10	a	a	DET
fcis-14568	27	11	model	model	NOUN
fcis-14568	27	12	that	that	PRON
fcis-14568	27	13	proposes	propose	VERB
fcis-14568	27	14	an	an	DET
fcis-14568	27	15	improved	improved	ADJ
fcis-14568	27	16	hybrid	hybrid	NOUN
fcis-14568	27	17	leader	leader	NOUN
fcis-14568	27	18	cnn	cnn	PROPN
fcis-14568	27	19	-	-	PUNCT
fcis-14568	27	20	bilstm	bilstm	NOUN
fcis-14568	27	21	-	-	PUNCT
fcis-14568	27	22	svm	svm	NOUN
fcis-14568	27	23	.	.	PUNCT
fcis-14568	28	1	that	that	ADV
fcis-14568	28	2	is	is	ADV
fcis-14568	28	3	,	,	PUNCT
fcis-14568	28	4	the	the	DET
fcis-14568	28	5	signal	signal	NOUN
fcis-14568	28	6	detected	detect	VERB
fcis-14568	28	7	by	by	ADP
fcis-14568	28	8	rayleigh	rayleigh	PROPN
fcis-14568	28	9	waves	wave	NOUN
fcis-14568	28	10	is	be	AUX
fcis-14568	28	11	first	first	ADV
fcis-14568	28	12	processed	process	VERB
fcis-14568	28	13	by	by	ADP
fcis-14568	28	14	cnn	cnn	PROPN
fcis-14568	28	15	-	-	NOUN
fcis-14568	28	16	bilstm	bilstm	NOUN
fcis-14568	28	17	to	to	PART
fcis-14568	28	18	obtain	obtain	VERB
fcis-14568	28	19	its	its	PRON
fcis-14568	28	20	spatial	spatial	ADJ
fcis-14568	28	21	characteristics	characteristic	NOUN
fcis-14568	28	22	and	and	CCONJ
fcis-14568	28	23	timing	time	VERB
fcis-14568	28	24	information	information	NOUN
fcis-14568	28	25	,	,	PUNCT
fcis-14568	28	26	and	and	CCONJ
fcis-14568	28	27	then	then	ADV
fcis-14568	28	28	the	the	DET
fcis-14568	28	29	improved	improved	ADJ
fcis-14568	28	30	hybrid	hybrid	ADJ
fcis-14568	28	31	leader	leader	NOUN
fcis-14568	28	32	optimization	optimization	NOUN
fcis-14568	28	33	algorithm	algorithm	NOUN
fcis-14568	28	34	is	be	AUX
fcis-14568	28	35	used	use	VERB
fcis-14568	28	36	to	to	PART
fcis-14568	28	37	optimize	optimize	VERB
fcis-14568	28	38	the	the	DET
fcis-14568	28	39	support	support	NOUN
fcis-14568	28	40	vector	vector	NOUN
fcis-14568	28	41	machine	machine	NOUN
fcis-14568	28	42	parameters	parameter	NOUN
fcis-14568	28	43	,	,	PUNCT
fcis-14568	28	44	and	and	CCONJ
fcis-14568	28	45	finally	finally	ADV
fcis-14568	28	46	the	the	DET
fcis-14568	28	47	optimal	optimal	ADJ
fcis-14568	28	48	parameters	parameter	NOUN
fcis-14568	28	49	are	be	AUX
fcis-14568	28	50	obtained	obtain	VERB
fcis-14568	28	51	by	by	ADP
fcis-14568	28	52	inputting	inputte	VERB
fcis-14568	28	53	the	the	DET
fcis-14568	28	54	detection	detection	NOUN
fcis-14568	28	55	and	and	CCONJ
fcis-14568	28	56	classification	classification	NOUN
fcis-14568	28	57	of	of	ADP
fcis-14568	28	58	cold	cold	ADJ
fcis-14568	28	59	jointss	jointss	NOUN
fcis-14568	28	60	are	be	AUX
fcis-14568	28	61	implemented	implement	VERB
fcis-14568	28	62	in	in	ADP
fcis-14568	28	63	svm	svm	PROPN
fcis-14568	28	64	.	.	PUNCT
fcis-14568	29	1	finally	finally	ADV
fcis-14568	29	2	,	,	PUNCT
fcis-14568	29	3	through	through	ADP
fcis-14568	29	4	specific	specific	ADJ
fcis-14568	29	5	measured	measure	VERB
fcis-14568	29	6	data	datum	NOUN
fcis-14568	29	7	analysis	analysis	NOUN
fcis-14568	29	8	,	,	PUNCT
fcis-14568	29	9	it	it	PRON
fcis-14568	29	10	is	be	AUX
fcis-14568	29	11	shown	show	VERB
fcis-14568	29	12	that	that	SCONJ
fcis-14568	29	13	this	this	DET
fcis-14568	29	14	method	method	NOUN
fcis-14568	29	15	can	can	AUX
fcis-14568	29	16	achieve	achieve	VERB
fcis-14568	29	17	higher	high	ADJ
fcis-14568	29	18	classification	classification	NOUN
fcis-14568	29	19	accuracy	accuracy	NOUN
fcis-14568	29	20	and	and	CCONJ
fcis-14568	29	21	can	can	AUX
fcis-14568	29	22	be	be	AUX
fcis-14568	29	23	applied	apply	VERB
fcis-14568	29	24	to	to	ADP
fcis-14568	29	25	engineering	engineering	NOUN
fcis-14568	29	26	practice	practice	NOUN
fcis-14568	29	27	.	.	PUNCT
fcis-14568	30	1	2	2	X
fcis-14568	30	2	.	.	X
fcis-14568	30	3	algorithm	algorithm	NOUN
fcis-14568	30	4	theory	theory	NOUN
fcis-14568	30	5	2.1	2.1	NUM
fcis-14568	30	6	.	.	PUNCT
fcis-14568	30	7	hybrid	hybrid	ADJ
fcis-14568	30	8	leader	leader	NOUN
fcis-14568	30	9	algorithm	algorithm	NOUN
fcis-14568	30	10	optimization	optimization	NOUN
fcis-14568	30	11	is	be	AUX
fcis-14568	30	12	the	the	DET
fcis-14568	30	13	process	process	NOUN
fcis-14568	30	14	of	of	ADP
fcis-14568	30	15	minimizing	minimize	VERB
fcis-14568	30	16	or	or	CCONJ
fcis-14568	30	17	maximizing	maximize	VERB
fcis-14568	30	18	a	a	DET
fcis-14568	30	19	certain	certain	ADJ
fcis-14568	30	20	variable	variable	NOUN
fcis-14568	30	21	or	or	CCONJ
fcis-14568	30	22	multiple	multiple	ADJ
fcis-14568	30	23	variables	variable	NOUN
fcis-14568	30	24	.	.	PUNCT
fcis-14568	31	1	optimization	optimization	NOUN
fcis-14568	31	2	is	be	AUX
fcis-14568	31	3	a	a	DET
fcis-14568	31	4	random	random	ADJ
fcis-14568	31	5	process	process	NOUN
fcis-14568	31	6	,	,	PUNCT
fcis-14568	31	7	and	and	CCONJ
fcis-14568	31	8	existing	exist	VERB
fcis-14568	31	9	modern	modern	ADJ
fcis-14568	31	10	intelligent	intelligent	ADJ
fcis-14568	31	11	optimization	optimization	NOUN
fcis-14568	31	12	algorithms	algorithm	NOUN
fcis-14568	31	13	rely	rely	VERB
fcis-14568	31	14	on	on	ADP
fcis-14568	31	15	random	random	ADJ
fcis-14568	31	16	operators	operator	NOUN
fcis-14568	31	17	to	to	PART
fcis-14568	31	18	avoid	avoid	VERB
fcis-14568	31	19	local	local	ADJ
fcis-14568	31	20	optima	optima	NOUN
fcis-14568	31	21	through	through	ADP
fcis-14568	31	22	random	random	ADJ
fcis-14568	31	23	methods	method	NOUN
fcis-14568	31	24	.	.	PUNCT
fcis-14568	32	1	they	they	PRON
fcis-14568	32	2	all	all	PRON
fcis-14568	32	3	start	start	VERB
fcis-14568	32	4	the	the	DET
fcis-14568	32	5	optimization	optimization	NOUN
fcis-14568	32	6	process	process	NOUN
fcis-14568	32	7	by	by	ADP
fcis-14568	32	8	creating	create	VERB
fcis-14568	32	9	a	a	DET
fcis-14568	32	10	random	random	ADJ
fcis-14568	32	11	solution	solution	NOUN
fcis-14568	32	12	or	or	CCONJ
fcis-14568	32	13	set	set	NOUN
fcis-14568	32	14	of	of	ADP
fcis-14568	32	15	solutions	solution	NOUN
fcis-14568	32	16	for	for	ADP
fcis-14568	32	17	a	a	DET
fcis-14568	32	18	given	give	VERB
fcis-14568	32	19	problem	problem	NOUN
fcis-14568	32	20	.	.	PUNCT
fcis-14568	33	1	currently	currently	ADV
fcis-14568	33	2	,	,	PUNCT
fcis-14568	33	3	there	there	PRON
fcis-14568	33	4	are	be	VERB
fcis-14568	33	5	many	many	ADJ
fcis-14568	33	6	types	type	NOUN
fcis-14568	33	7	of	of	ADP
fcis-14568	33	8	intelligent	intelligent	ADJ
fcis-14568	33	9	optimization	optimization	NOUN
fcis-14568	33	10	algorithms	algorithm	NOUN
fcis-14568	33	11	:	:	PUNCT
fcis-14568	33	12	first	first	X
fcis-14568	33	13	,	,	PUNCT
fcis-14568	33	14	evolutionary	evolutionary	ADJ
fcis-14568	33	15	optimization	optimization	NOUN
fcis-14568	33	16	algorithms	algorithm	NOUN
fcis-14568	33	17	(	(	PUNCT
fcis-14568	33	18	genetic	genetic	ADJ
fcis-14568	33	19	algorithms	algorithm	NOUN
fcis-14568	33	20	,	,	PUNCT
fcis-14568	33	21	differential	differential	ADJ
fcis-14568	33	22	evolution	evolution	NOUN
fcis-14568	33	23	algorithms	algorithm	NOUN
fcis-14568	33	24	,	,	PUNCT
fcis-14568	33	25	etc	etc	X
fcis-14568	33	26	.	.	X
fcis-14568	33	27	)	)	PUNCT
fcis-14568	33	28	,	,	PUNCT
fcis-14568	33	29	second	second	X
fcis-14568	33	30	,	,	PUNCT
fcis-14568	33	31	population	population	NOUN
fcis-14568	33	32	based	base	VERB
fcis-14568	33	33	optimization	optimization	NOUN
fcis-14568	33	34	algorithms	algorithm	NOUN
fcis-14568	33	35	(	(	PUNCT
fcis-14568	33	36	sparrow	sparrow	NOUN
fcis-14568	33	37	search	search	NOUN
fcis-14568	33	38	algorithms	algorithm	NOUN
fcis-14568	33	39	,	,	PUNCT
fcis-14568	33	40	seagull	seagull	NOUN
fcis-14568	33	41	algorithms	algorithm	NOUN
fcis-14568	33	42	,	,	PUNCT
fcis-14568	33	43	etc	etc	X
fcis-14568	33	44	.	.	X
fcis-14568	33	45	)	)	PUNCT
fcis-14568	33	46	,	,	PUNCT
fcis-14568	33	47	and	and	CCONJ
fcis-14568	33	48	third	third	ADJ
fcis-14568	33	49	,	,	PUNCT
fcis-14568	33	50	physics	physics	NOUN
fcis-14568	33	51	based	base	VERB
fcis-14568	33	52	optimization	optimization	NOUN
fcis-14568	33	53	algorithms	algorithm	NOUN
fcis-14568	33	54	(	(	PUNCT
fcis-14568	33	55	simulated	simulate	VERB
fcis-14568	33	56	annealing	annealing	NOUN
fcis-14568	33	57	algorithms	algorithm	NOUN
fcis-14568	33	58	,	,	PUNCT
fcis-14568	33	59	etc	etc	X
fcis-14568	33	60	.	.	X
fcis-14568	33	61	)	)	PUNCT
fcis-14568	33	62	.	.	PUNCT
fcis-14568	34	1	the	the	DET
fcis-14568	34	2	hybrid	hybrid	ADJ
fcis-14568	34	3	leader	leader	NOUN
fcis-14568	34	4	algorithm[9	algorithm[9	NOUN
fcis-14568	34	5	]	]	PUNCT
fcis-14568	34	6	is	be	AUX
fcis-14568	34	7	a	a	DET
fcis-14568	34	8	method	method	NOUN
fcis-14568	34	9	proposed	propose	VERB
fcis-14568	34	10	by	by	ADP
fcis-14568	34	11	mohammad	mohammad	PROPN
fcis-14568	34	12	dehghani	dehghani	PROPN
fcis-14568	34	13	in	in	ADP
fcis-14568	34	14	2022	2022	NUM
fcis-14568	34	15	.	.	PUNCT
fcis-14568	35	1	its	its	PRON
fcis-14568	35	2	main	main	ADJ
fcis-14568	35	3	idea	idea	NOUN
fcis-14568	35	4	is	be	AUX
fcis-14568	35	5	that	that	SCONJ
fcis-14568	35	6	in	in	ADP
fcis-14568	35	7	population	population	NOUN
fcis-14568	35	8	based	base	VERB
fcis-14568	35	9	algorithms	algorithm	NOUN
fcis-14568	35	10	,	,	PUNCT
fcis-14568	35	11	each	each	DET
fcis-14568	35	12	member	member	NOUN
fcis-14568	35	13	of	of	ADP
fcis-14568	35	14	the	the	DET
fcis-14568	35	15	population	population	NOUN
fcis-14568	35	16	23	23	NUM
fcis-14568	35	17	represents	represent	VERB
fcis-14568	35	18	a	a	DET
fcis-14568	35	19	potential	potential	ADJ
fcis-14568	35	20	solution	solution	NOUN
fcis-14568	35	21	in	in	ADP
fcis-14568	35	22	the	the	DET
fcis-14568	35	23	problem	problem	NOUN
fcis-14568	35	24	solving	solve	VERB
fcis-14568	35	25	space	space	NOUN
fcis-14568	35	26	.	.	PUNCT
fcis-14568	36	1	through	through	ADP
fcis-14568	36	2	the	the	DET
fcis-14568	36	3	iterative	iterative	NOUN
fcis-14568	36	4	process	process	NOUN
fcis-14568	36	5	of	of	ADP
fcis-14568	36	6	the	the	DET
fcis-14568	36	7	algorithm	algorithm	NOUN
fcis-14568	36	8	and	and	CCONJ
fcis-14568	36	9	information	information	NOUN
fcis-14568	36	10	transmission	transmission	NOUN
fcis-14568	36	11	,	,	PUNCT
fcis-14568	36	12	population	population	NOUN
fcis-14568	36	13	members	member	NOUN
fcis-14568	36	14	can	can	AUX
fcis-14568	36	15	continuously	continuously	ADV
fcis-14568	36	16	optimize	optimize	VERB
fcis-14568	36	17	their	their	PRON
fcis-14568	36	18	own	own	ADJ
fcis-14568	36	19	positions	position	NOUN
fcis-14568	36	20	,	,	PUNCT
fcis-14568	36	21	thereby	thereby	ADV
fcis-14568	36	22	providing	provide	VERB
fcis-14568	36	23	better	well	ADJ
fcis-14568	36	24	solutions	solution	NOUN
fcis-14568	36	25	.	.	PUNCT
fcis-14568	37	1	however	however	ADV
fcis-14568	37	2	,	,	PUNCT
fcis-14568	37	3	algorithms	algorithm	NOUN
fcis-14568	37	4	may	may	AUX
fcis-14568	37	5	overly	overly	ADV
fcis-14568	37	6	rely	rely	VERB
fcis-14568	37	7	on	on	ADP
fcis-14568	37	8	specific	specific	ADJ
fcis-14568	37	9	members	member	NOUN
fcis-14568	37	10	(	(	PUNCT
fcis-14568	37	11	such	such	ADJ
fcis-14568	37	12	as	as	ADP
fcis-14568	37	13	the	the	DET
fcis-14568	37	14	best	good	ADJ
fcis-14568	37	15	or	or	CCONJ
fcis-14568	37	16	worst	bad	ADJ
fcis-14568	37	17	members	member	NOUN
fcis-14568	37	18	in	in	ADP
fcis-14568	37	19	the	the	DET
fcis-14568	37	20	population	population	NOUN
fcis-14568	37	21	)	)	PUNCT
fcis-14568	37	22	when	when	SCONJ
fcis-14568	37	23	updating	update	VERB
fcis-14568	37	24	the	the	DET
fcis-14568	37	25	population	population	NOUN
fcis-14568	37	26	,	,	PUNCT
fcis-14568	37	27	which	which	PRON
fcis-14568	37	28	may	may	AUX
fcis-14568	37	29	lead	lead	VERB
fcis-14568	37	30	to	to	ADP
fcis-14568	37	31	the	the	DET
fcis-14568	37	32	algorithm	algorithm	NOUN
fcis-14568	37	33	falling	fall	VERB
fcis-14568	37	34	into	into	ADP
fcis-14568	37	35	local	local	ADJ
fcis-14568	37	36	optima	optima	PROPN
fcis-14568	37	37	too	too	ADV
fcis-14568	37	38	early	early	ADJ
fcis-14568	37	39	and	and	CCONJ
fcis-14568	37	40	unable	unable	ADJ
fcis-14568	37	41	to	to	PART
fcis-14568	37	42	identify	identify	VERB
fcis-14568	37	43	the	the	DET
fcis-14568	37	44	global	global	ADJ
fcis-14568	37	45	optimal	optimal	ADJ
fcis-14568	37	46	solution	solution	NOUN
fcis-14568	37	47	region	region	NOUN
fcis-14568	37	48	in	in	ADP
fcis-14568	37	49	the	the	DET
fcis-14568	37	50	problem	problem	NOUN
fcis-14568	37	51	solving	solve	VERB
fcis-14568	37	52	space	space	NOUN
fcis-14568	37	53	.	.	PUNCT
fcis-14568	38	1	these	these	DET
fcis-14568	38	2	limitations	limitation	NOUN
fcis-14568	38	3	may	may	AUX
fcis-14568	38	4	lead	lead	VERB
fcis-14568	38	5	to	to	ADP
fcis-14568	38	6	the	the	DET
fcis-14568	38	7	algorithm	algorithm	NOUN
fcis-14568	38	8	converging	converge	VERB
fcis-14568	38	9	too	too	ADV
fcis-14568	38	10	fast	fast	ADV
fcis-14568	38	11	and	and	CCONJ
fcis-14568	38	12	preventing	prevent	VERB
fcis-14568	38	13	the	the	DET
fcis-14568	38	14	discovery	discovery	NOUN
fcis-14568	38	15	of	of	ADP
fcis-14568	38	16	better	well	ADJ
fcis-14568	38	17	solutions	solution	NOUN
fcis-14568	38	18	.	.	PUNCT
fcis-14568	39	1	the	the	DET
fcis-14568	39	2	hybrid	hybrid	ADJ
fcis-14568	39	3	leader	leader	NOUN
fcis-14568	39	4	algorithm	algorithm	NOUN
fcis-14568	39	5	,	,	PUNCT
fcis-14568	39	6	like	like	ADP
fcis-14568	39	7	population	population	NOUN
fcis-14568	39	8	based	base	VERB
fcis-14568	39	9	optimization	optimization	NOUN
fcis-14568	39	10	algorithms	algorithm	NOUN
fcis-14568	39	11	,	,	PUNCT
fcis-14568	39	12	also	also	ADV
fcis-14568	39	13	has	have	VERB
fcis-14568	39	14	two	two	NUM
fcis-14568	39	15	stages	stage	NOUN
fcis-14568	39	16	of	of	ADP
fcis-14568	39	17	exploration	exploration	NOUN
fcis-14568	39	18	and	and	CCONJ
fcis-14568	39	19	development	development	NOUN
fcis-14568	39	20	.	.	PUNCT
fcis-14568	40	1	it	it	PRON
fcis-14568	40	2	uses	use	VERB
fcis-14568	40	3	unique	unique	ADJ
fcis-14568	40	4	hybrid	hybrid	ADJ
fcis-14568	40	5	leaders	leader	NOUN
fcis-14568	40	6	to	to	PART
fcis-14568	40	7	update	update	VERB
fcis-14568	40	8	and	and	CCONJ
fcis-14568	40	9	guide	guide	VERB
fcis-14568	40	10	each	each	DET
fcis-14568	40	11	member	member	NOUN
fcis-14568	40	12	of	of	ADP
fcis-14568	40	13	the	the	DET
fcis-14568	40	14	algorithm	algorithm	NOUN
fcis-14568	40	15	population	population	NOUN
fcis-14568	40	16	in	in	ADP
fcis-14568	40	17	the	the	DET
fcis-14568	40	18	search	search	NOUN
fcis-14568	40	19	space	space	NOUN
fcis-14568	40	20	.	.	PUNCT
fcis-14568	41	1	a	a	DET
fcis-14568	41	2	mixed	mixed	ADJ
fcis-14568	41	3	leader	leader	NOUN
fcis-14568	41	4	is	be	AUX
fcis-14568	41	5	generated	generate	VERB
fcis-14568	41	6	based	base	VERB
fcis-14568	41	7	on	on	ADP
fcis-14568	41	8	three	three	NUM
fcis-14568	41	9	different	different	ADJ
fcis-14568	41	10	members	member	NOUN
fcis-14568	41	11	,	,	PUNCT
fcis-14568	41	12	including	include	VERB
fcis-14568	41	13	the	the	DET
fcis-14568	41	14	best	good	ADJ
fcis-14568	41	15	member	member	NOUN
fcis-14568	41	16	,	,	PUNCT
fcis-14568	41	17	a	a	DET
fcis-14568	41	18	random	random	ADJ
fcis-14568	41	19	member	member	NOUN
fcis-14568	41	20	,	,	PUNCT
fcis-14568	41	21	and	and	CCONJ
fcis-14568	41	22	corresponding	correspond	VERB
fcis-14568	41	23	members	member	NOUN
fcis-14568	41	24	.	.	PUNCT
fcis-14568	42	1	the	the	DET
fcis-14568	42	2	initialization	initialization	NOUN
fcis-14568	42	3	position	position	NOUN
fcis-14568	42	4	of	of	ADP
fcis-14568	42	5	the	the	DET
fcis-14568	42	6	hybrid	hybrid	ADJ
fcis-14568	42	7	leader	leader	NOUN
fcis-14568	42	8	algorithm	algorithm	NOUN
fcis-14568	42	9	:	:	PUNCT
fcis-14568	42	10	,	,	PUNCT
fcis-14568	42	11	(	(	PUNCT
fcis-14568	42	12	)	)	PUNCT
fcis-14568	42	13	,	,	PUNCT
fcis-14568	42	14	1,2,i	1,2,i	NUM
fcis-14568	42	15	j	j	PROPN
fcis-14568	42	16	j	j	PROPN
fcis-14568	42	17	j	j	PROPN
fcis-14568	42	18	jx	jx	PROPN
fcis-14568	43	1	lb	lb	ADP
fcis-14568	43	2	r	r	NOUN
fcis-14568	43	3	ub	ub	ADJ
fcis-14568	43	4	lb	lb	NUM
fcis-14568	43	5	j	j	PROPN
fcis-14568	43	6	m	m	PROPN
fcis-14568	43	7			VERB
fcis-14568	43	8			PROPN
fcis-14568	43	9			PROPN
fcis-14568	43	10			NUM
fcis-14568	43	11	(	(	PUNCT
fcis-14568	43	12	1	1	NUM
fcis-14568	43	13	)	)	PUNCT
fcis-14568	43	14	in	in	ADP
fcis-14568	43	15	the	the	DET
fcis-14568	43	16	equation	equation	NOUN
fcis-14568	43	17	,	,	PUNCT
fcis-14568	43	18	,	,	PUNCT
fcis-14568	43	19	i	i	PRON
fcis-14568	43	20	jx	jx	PROPN
fcis-14568	43	21	represents	represent	VERB
fcis-14568	43	22	the	the	DET
fcis-14568	43	23	value	value	NOUN
fcis-14568	43	24	of	of	ADP
fcis-14568	43	25	the	the	DET
fcis-14568	43	26	jth	jth	PROPN
fcis-14568	43	27	variable	variable	NOUN
fcis-14568	43	28	in	in	ADP
fcis-14568	43	29	the	the	DET
fcis-14568	43	30	i	i	PROPN
fcis-14568	43	31	-	-	PUNCT
fcis-14568	43	32	th	th	VERB
fcis-14568	43	33	candidate	candidate	NOUN
fcis-14568	43	34	solution	solution	NOUN
fcis-14568	43	35	.	.	PUNCT
fcis-14568	44	1	r	r	NOUN
fcis-14568	44	2	is	be	AUX
fcis-14568	44	3	a	a	DET
fcis-14568	44	4	random	random	ADJ
fcis-14568	44	5	number	number	NOUN
fcis-14568	44	6	between	between	ADP
fcis-14568	44	7	[	[	X
fcis-14568	44	8	0,1	0,1	NUM
fcis-14568	44	9	]	]	PUNCT
fcis-14568	44	10	,	,	PUNCT
fcis-14568	44	11	the	the	DET
fcis-14568	44	12	upper	upper	ADJ
fcis-14568	44	13	and	and	CCONJ
fcis-14568	44	14	lower	low	ADJ
fcis-14568	44	15	bounds	bound	NOUN
fcis-14568	44	16	of	of	ADP
fcis-14568	44	17	the	the	DET
fcis-14568	44	18	jth	jth	PROPN
fcis-14568	44	19	problem	problem	NOUN
fcis-14568	44	20	.	.	PUNCT
fcis-14568	45	1	the	the	DET
fcis-14568	45	2	optimization	optimization	NOUN
fcis-14568	45	3	problem	problem	NOUN
fcis-14568	45	4	should	should	AUX
fcis-14568	45	5	determine	determine	VERB
fcis-14568	45	6	the	the	DET
fcis-14568	45	7	objective	objective	ADJ
fcis-14568	45	8	function	function	NOUN
fcis-14568	45	9	:	:	PUNCT
fcis-14568	45	10	1	1	NUM
fcis-14568	45	11	1	1	NUM
fcis-14568	45	12	(	(	PUNCT
fcis-14568	45	13	(	(	PUNCT
fcis-14568	45	14	)	)	PUNCT
fcis-14568	45	15	(	(	PUNCT
fcis-14568	45	16	)	)	PUNCT
fcis-14568	46	1	i	i	PRON
fcis-14568	46	2	i	i	VERB
fcis-14568	46	3	n	n	VERB
fcis-14568	46	4	n	n	NOUN
fcis-14568	46	5	f	f	NOUN
fcis-14568	46	6	f	f	PROPN
fcis-14568	46	7	x	x	X
fcis-14568	47	1	f	f	X
fcis-14568	47	2	f	f	X
fcis-14568	48	1	f	f	PROPN
fcis-14568	48	2	x	x	X
fcis-14568	48	3	f	f	PROPN
fcis-14568	48	4	f	f	PROPN
fcis-14568	48	5	x	x	SYM
fcis-14568	48	6			PROPN
fcis-14568	48	7			INTJ
fcis-14568	48	8			PROPN
fcis-14568	48	9			ADJ
fcis-14568	48	10			NOUN
fcis-14568	48	11			PROPN
fcis-14568	48	12			NOUN
fcis-14568	48	13			NOUN
fcis-14568	48	14			NOUN
fcis-14568	48	15			NOUN
fcis-14568	48	16			NOUN
fcis-14568	48	17			NOUN
fcis-14568	48	18			NUM
fcis-14568	48	19			NOUN
fcis-14568	48	20			NOUN
fcis-14568	48	21			NOUN
fcis-14568	48	22			NOUN
fcis-14568	48	23			NOUN
fcis-14568	48	24			NOUN
fcis-14568	48	25			NOUN
fcis-14568	48	26			PROPN
fcis-14568	48	27			PROPN
fcis-14568	48	28			NOUN
fcis-14568	48	29			PROPN
fcis-14568	48	30			VERB
fcis-14568	48	31			NUM
fcis-14568	48	32			VERB
fcis-14568	49	1			PROPN
fcis-14568	49	2	）	）	PUNCT
fcis-14568	49	3	(	(	PUNCT
fcis-14568	49	4	2	2	NUM
fcis-14568	49	5	)	)	PUNCT
fcis-14568	49	6	in	in	ADP
fcis-14568	49	7	the	the	DET
fcis-14568	49	8	equation	equation	NOUN
fcis-14568	49	9	,	,	PUNCT
fcis-14568	49	10	f	f	PROPN
fcis-14568	49	11	represents	represent	VERB
fcis-14568	49	12	the	the	DET
fcis-14568	49	13	objective	objective	ADJ
fcis-14568	49	14	function	function	NOUN
fcis-14568	49	15	,	,	PUNCT
fcis-14568	49	16	ix	ix	ADV
fcis-14568	49	17	is	be	AUX
fcis-14568	49	18	the	the	DET
fcis-14568	49	19	i	i	PROPN
fcis-14568	49	20	-	-	PUNCT
fcis-14568	49	21	th	th	VERB
fcis-14568	49	22	candidate	candidate	NOUN
fcis-14568	49	23	solution	solution	NOUN
fcis-14568	49	24	,	,	PUNCT
fcis-14568	49	25	and	and	CCONJ
fcis-14568	49	26	x	x	X
fcis-14568	49	27	is	be	AUX
fcis-14568	49	28	calculated	calculate	VERB
fcis-14568	49	29	as	as	ADP
fcis-14568	49	30	the	the	DET
fcis-14568	49	31	number	number	NOUN
fcis-14568	49	32	of	of	ADP
fcis-14568	49	33	population	population	NOUN
fcis-14568	49	34	in	in	ADP
fcis-14568	49	35	the	the	DET
fcis-14568	49	36	middle	middle	NOUN
fcis-14568	49	37	.	.	PUNCT
fcis-14568	50	1	if	if	SCONJ
fcis-14568	50	2	is	be	AUX
fcis-14568	50	3	the	the	DET
fcis-14568	50	4	value	value	NOUN
fcis-14568	50	5	of	of	ADP
fcis-14568	50	6	the	the	DET
fcis-14568	50	7	objective	objective	ADJ
fcis-14568	50	8	function	function	NOUN
fcis-14568	50	9	in	in	ADP
fcis-14568	50	10	the	the	DET
fcis-14568	50	11	i	i	PROPN
fcis-14568	50	12	-	-	PUNCT
fcis-14568	50	13	th	th	VERB
fcis-14568	50	14	candidate	candidate	NOUN
fcis-14568	50	15	solution	solution	NOUN
fcis-14568	50	16	.	.	PUNCT
fcis-14568	51	1	in	in	ADP
fcis-14568	51	2	the	the	DET
fcis-14568	51	3	exploration	exploration	NOUN
fcis-14568	51	4	phase	phase	NOUN
fcis-14568	51	5	:	:	PUNCT
fcis-14568	51	6	hybrid	hybrid	ADJ
fcis-14568	51	7	leader	leader	NOUN
fcis-14568	51	8	algorithm	algorithm	NOUN
fcis-14568	51	9	(	(	PUNCT
fcis-14568	51	10	hlbo	hlbo	PROPN
fcis-14568	51	11	)	)	PUNCT
fcis-14568	51	12	uses	use	VERB
fcis-14568	51	13	mixed	mixed	ADJ
fcis-14568	51	14	leaders	leader	NOUN
fcis-14568	51	15	to	to	PART
fcis-14568	51	16	update	update	VERB
fcis-14568	51	17	group	group	NOUN
fcis-14568	51	18	members	member	NOUN
fcis-14568	51	19	.	.	PUNCT
fcis-14568	52	1	when	when	SCONJ
fcis-14568	52	2	constructing	construct	VERB
fcis-14568	52	3	a	a	DET
fcis-14568	52	4	random	random	ADJ
fcis-14568	52	5	leader	leader	NOUN
fcis-14568	52	6	,	,	PUNCT
fcis-14568	52	7	there	there	PRON
fcis-14568	52	8	are	be	VERB
fcis-14568	52	9	three	three	NUM
fcis-14568	52	10	members	member	NOUN
fcis-14568	52	11	in	in	ADP
fcis-14568	52	12	the	the	DET
fcis-14568	52	13	group	group	NOUN
fcis-14568	52	14	:	:	PUNCT
fcis-14568	52	15	the	the	DET
fcis-14568	52	16	best	good	ADJ
fcis-14568	52	17	member	member	NOUN
fcis-14568	52	18	,	,	PUNCT
fcis-14568	52	19	one	one	NUM
fcis-14568	52	20	random	random	ADJ
fcis-14568	52	21	member	member	NOUN
fcis-14568	52	22	,	,	PUNCT
fcis-14568	52	23	and	and	CCONJ
fcis-14568	52	24	the	the	DET
fcis-14568	52	25	corresponding	corresponding	ADJ
fcis-14568	52	26	member	member	NOUN
fcis-14568	52	27	.	.	PUNCT
fcis-14568	53	1	the	the	DET
fcis-14568	53	2	participation	participation	NOUN
fcis-14568	53	3	coefficients	coefficient	NOUN
fcis-14568	53	4	of	of	ADP
fcis-14568	53	5	these	these	DET
fcis-14568	53	6	three	three	NUM
fcis-14568	53	7	members	member	NOUN
fcis-14568	53	8	in	in	ADP
fcis-14568	53	9	the	the	DET
fcis-14568	53	10	production	production	NOUN
fcis-14568	53	11	of	of	ADP
fcis-14568	53	12	mixed	mixed	ADJ
fcis-14568	53	13	leaders	leader	NOUN
fcis-14568	53	14	are	be	AUX
fcis-14568	53	15	determined	determine	VERB
fcis-14568	53	16	by	by	ADP
fcis-14568	53	17	the	the	DET
fcis-14568	53	18	quality	quality	NOUN
fcis-14568	53	19	of	of	ADP
fcis-14568	53	20	providing	provide	VERB
fcis-14568	53	21	better	well	ADJ
fcis-14568	53	22	value	value	NOUN
fcis-14568	53	23	for	for	ADP
fcis-14568	53	24	the	the	DET
fcis-14568	53	25	objective	objective	ADJ
fcis-14568	53	26	function	function	NOUN
fcis-14568	53	27	.	.	PUNCT
fcis-14568	54	1	the	the	DET
fcis-14568	54	2	quality	quality	NOUN
fcis-14568	54	3	of	of	ADP
fcis-14568	54	4	each	each	DET
fcis-14568	54	5	member	member	NOUN
fcis-14568	54	6	's	's	PART
fcis-14568	54	7	presentation	presentation	NOUN
fcis-14568	54	8	of	of	ADP
fcis-14568	54	9	candidate	candidate	NOUN
fcis-14568	54	10	solutions	solution	NOUN
fcis-14568	54	11	is	be	AUX
fcis-14568	54	12	determined	determine	VERB
fcis-14568	54	13	by	by	ADP
fcis-14568	54	14	equation	equation	NOUN
fcis-14568	54	15	(	(	PUNCT
fcis-14568	54	16	3	3	NUM
fcis-14568	54	17	):	):	SYM
fcis-14568	54	18	1	1	NUM
fcis-14568	54	19	,	,	PUNCT
fcis-14568	54	20	{	{	PUNCT
fcis-14568	54	21	1,2	1,2	NUM
fcis-14568	54	22	,	,	PUNCT
fcis-14568	54	23	}	}	PUNCT
fcis-14568	54	24	(	(	PUNCT
fcis-14568	54	25	)	)	PUNCT
fcis-14568	55	1	i	i	PRON
fcis-14568	55	2	worst	bad	ADJ
fcis-14568	56	1	i	i	PRON
fcis-14568	56	2	j	j	VERB
fcis-14568	57	1	n	n	CCONJ
fcis-14568	57	2	i	i	PRON
fcis-14568	57	3	worst	worst	ADV
fcis-14568	58	1	j	j	X
fcis-14568	59	1	f	f	X
fcis-14568	59	2	f	f	X
fcis-14568	59	3	q	q	PROPN
fcis-14568	60	1	i	i	PRON
fcis-14568	60	2	n	n	VERB
fcis-14568	61	1	f	f	NOUN
fcis-14568	61	2	f	f	PROPN
fcis-14568	62	1			PROPN
fcis-14568	62	2			PROPN
fcis-14568	62	3			PROPN
fcis-14568	62	4			PROPN
fcis-14568	62	5			NOUN
fcis-14568	62	6			PROPN
fcis-14568	62	7			NUM
fcis-14568	62	8	(	(	PUNCT
fcis-14568	62	9	3	3	NUM
fcis-14568	62	10	)	)	PUNCT
fcis-14568	62	11	calculate	calculate	VERB
fcis-14568	62	12	the	the	DET
fcis-14568	62	13	participation	participation	NOUN
fcis-14568	62	14	coefficient	coefficient	NOUN
fcis-14568	62	15	of	of	ADP
fcis-14568	62	16	each	each	DET
fcis-14568	62	17	member	member	NOUN
fcis-14568	62	18	using	use	VERB
fcis-14568	62	19	equation	equation	NOUN
fcis-14568	62	20	(	(	PUNCT
fcis-14568	62	21	3	3	NUM
fcis-14568	62	22	)	)	PUNCT
fcis-14568	62	23	as	as	SCONJ
fcis-14568	62	24	follows	follow	VERB
fcis-14568	62	25	:	:	PUNCT
fcis-14568	62	26	i	i	PRON
fcis-14568	63	1	i	i	PRON
fcis-14568	64	1	i	i	PRON
fcis-14568	64	2	best	well	ADV
fcis-14568	65	1	k	k	X
fcis-14568	65	2	ibest	ibest	ADV
fcis-14568	65	3	best	good	ADJ
fcis-14568	65	4	i	i	PRON
fcis-14568	65	5	best	well	ADV
fcis-14568	66	1	k	k	X
fcis-14568	66	2	k	k	PROPN
fcis-14568	67	1	k	k	PROPN
fcis-14568	67	2	i	i	PRON
fcis-14568	67	3	best	well	ADV
fcis-14568	67	4	k	k	X
fcis-14568	67	5	q	q	X
fcis-14568	67	6	pc	pc	NOUN
fcis-14568	67	7	q	q	NOUN
fcis-14568	67	8	q	q	X
fcis-14568	67	9	q	q	X
fcis-14568	67	10	q	q	X
fcis-14568	67	11	pc	pc	NOUN
fcis-14568	67	12	q	q	NOUN
fcis-14568	67	13	q	q	NOUN
fcis-14568	67	14	q	q	X
fcis-14568	67	15	q	q	X
fcis-14568	67	16	pc	pc	NOUN
fcis-14568	67	17	q	q	NOUN
fcis-14568	67	18	q	q	X
fcis-14568	67	19	q	q	PROPN
fcis-14568	68	1			PROPN
fcis-14568	68	2			ADV
fcis-14568	68	3			PUNCT
fcis-14568	68	4			PROPN
fcis-14568	68	5			PROPN
fcis-14568	68	6			PUNCT
fcis-14568	68	7			PROPN
fcis-14568	68	8			PROPN
fcis-14568	68	9			X
fcis-14568	68	10	(	(	PUNCT
fcis-14568	68	11	4	4	NUM
fcis-14568	68	12	)	)	PUNCT
fcis-14568	68	13	among	among	ADP
fcis-14568	68	14	them	they	PRON
fcis-14568	68	15	,	,	PUNCT
fcis-14568	68	16	iq	iq	PROPN
fcis-14568	68	17	is	be	AUX
fcis-14568	68	18	the	the	DET
fcis-14568	68	19	value	value	NOUN
fcis-14568	68	20	of	of	ADP
fcis-14568	68	21	the	the	DET
fcis-14568	68	22	i	i	PROPN
fcis-14568	68	23	-	-	PUNCT
fcis-14568	68	24	th	th	VERB
fcis-14568	68	25	candidate	candidate	NOUN
fcis-14568	68	26	solution	solution	NOUN
fcis-14568	68	27	,	,	PUNCT
fcis-14568	68	28	worstf	worstf	NOUN
fcis-14568	68	29	is	be	AUX
fcis-14568	68	30	the	the	DET
fcis-14568	68	31	value	value	NOUN
fcis-14568	68	32	of	of	ADP
fcis-14568	68	33	the	the	DET
fcis-14568	68	34	objective	objective	ADJ
fcis-14568	68	35	function	function	NOUN
fcis-14568	68	36	of	of	ADP
fcis-14568	68	37	the	the	DET
fcis-14568	68	38	worst	bad	ADJ
fcis-14568	68	39	candidate	candidate	NOUN
fcis-14568	68	40	solution	solution	NOUN
fcis-14568	68	41	,	,	PUNCT
fcis-14568	68	42	ipc	ipc	PROPN
fcis-14568	68	43	,	,	PUNCT
fcis-14568	68	44	bestpc	bestpc	PROPN
fcis-14568	68	45	,	,	PUNCT
fcis-14568	68	46	kpc	kpc	PROPN
fcis-14568	68	47	is	be	AUX
fcis-14568	68	48	the	the	DET
fcis-14568	68	49	participation	participation	NOUN
fcis-14568	68	50	coefficient	coefficient	NOUN
fcis-14568	68	51	of	of	ADP
fcis-14568	68	52	the	the	DET
fcis-14568	68	53	i	i	PROPN
fcis-14568	68	54	-	-	PUNCT
fcis-14568	68	55	th	th	X
fcis-14568	68	56	member	member	NOUN
fcis-14568	68	57	,	,	PUNCT
fcis-14568	68	58	the	the	DET
fcis-14568	68	59	best	good	ADJ
fcis-14568	68	60	member	member	NOUN
fcis-14568	68	61	and	and	CCONJ
fcis-14568	68	62	the	the	DET
fcis-14568	68	63	k	k	PROPN
fcis-14568	68	64	-	-	PUNCT
fcis-14568	68	65	th	th	X
fcis-14568	68	66	member	member	NOUN
fcis-14568	68	67	(	(	PUNCT
fcis-14568	68	68	k	k	PROPN
fcis-14568	68	69	is	be	AUX
fcis-14568	68	70	randomly	randomly	ADV
fcis-14568	68	71	selected	select	VERB
fcis-14568	68	72	from	from	ADP
fcis-14568	68	73	the	the	DET
fcis-14568	68	74	set	set	NOUN
fcis-14568	68	75	{	{	PUNCT
fcis-14568	68	76	1	1	NUM
fcis-14568	68	77	,	,	PUNCT
fcis-14568	68	78	2	2	NUM
fcis-14568	68	79	,	,	PUNCT
fcis-14568	68	80	..	..	PUNCT
fcis-14568	68	81	,	,	PUNCT
fcis-14568	68	82	n	n	CCONJ
fcis-14568	68	83	}	}	PUNCT
fcis-14568	68	84	value	value	NOUN
fcis-14568	68	85	)	)	PUNCT
fcis-14568	68	86	.	.	PUNCT
fcis-14568	69	1	after	after	ADP
fcis-14568	69	2	determining	determine	VERB
fcis-14568	69	3	the	the	DET
fcis-14568	69	4	participation	participation	NOUN
fcis-14568	69	5	coefficient	coefficient	NOUN
fcis-14568	69	6	,	,	PUNCT
fcis-14568	69	7	use	use	VERB
fcis-14568	69	8	equation	equation	NOUN
fcis-14568	69	9	(	(	PUNCT
fcis-14568	69	10	5	5	X
fcis-14568	69	11	)	)	PUNCT
fcis-14568	69	12	members	member	NOUN
fcis-14568	69	13	to	to	PART
fcis-14568	69	14	generate	generate	VERB
fcis-14568	69	15	hybrid	hybrid	ADJ
fcis-14568	69	16	leaders	leader	NOUN
fcis-14568	69	17	:	:	PUNCT
fcis-14568	69	18	.	.	PUNCT
fcis-14568	69	19	.	.	PUNCT
fcis-14568	70	1	.i	.i	PROPN
fcis-14568	71	1	i	i	PRON
fcis-14568	71	2	i	i	PRON
fcis-14568	71	3	best	well	ADV
fcis-14568	71	4	best	well	ADV
fcis-14568	71	5	k	k	PROPN
fcis-14568	71	6	khl	khl	PROPN
fcis-14568	71	7	pc	pc	NOUN
fcis-14568	71	8	x	x	SYM
fcis-14568	71	9	pc	pc	NOUN
fcis-14568	71	10	x	x	NOUN
fcis-14568	71	11	pc	pc	NOUN
fcis-14568	71	12	x	x	PUNCT
fcis-14568	71	13			PUNCT
fcis-14568	71	14			X
fcis-14568	71	15	(	(	PUNCT
fcis-14568	71	16	5	5	NUM
fcis-14568	71	17	)	)	PUNCT
fcis-14568	71	18	where	where	SCONJ
fcis-14568	71	19	:	:	PUNCT
fcis-14568	71	20	ihl	ihl	PROPN
fcis-14568	71	21	is	be	AUX
fcis-14568	71	22	the	the	DET
fcis-14568	71	23	hybrid	hybrid	ADJ
fcis-14568	71	24	leader	leader	NOUN
fcis-14568	71	25	of	of	ADP
fcis-14568	71	26	the	the	DET
fcis-14568	71	27	i	i	PROPN
fcis-14568	71	28	-	-	PUNCT
fcis-14568	71	29	th	th	X
fcis-14568	71	30	member	member	NOUN
fcis-14568	71	31	,	,	PUNCT
fcis-14568	71	32	kx	kx	PROPN
fcis-14568	71	33	is	be	AUX
fcis-14568	71	34	a	a	DET
fcis-14568	71	35	randomly	randomly	ADV
fcis-14568	71	36	selected	select	VERB
fcis-14568	71	37	group	group	NOUN
fcis-14568	71	38	member	member	NOUN
fcis-14568	71	39	,	,	PUNCT
fcis-14568	71	40	and	and	CCONJ
fcis-14568	71	41	index	index	NOUN
fcis-14568	71	42	k	k	PROPN
fcis-14568	71	43	is	be	AUX
fcis-14568	71	44	the	the	DET
fcis-14568	71	45	number	number	NOUN
fcis-14568	71	46	of	of	ADP
fcis-14568	71	47	rows	row	NOUN
fcis-14568	71	48	of	of	ADP
fcis-14568	71	49	the	the	DET
fcis-14568	71	50	member	member	NOUN
fcis-14568	71	51	in	in	ADP
fcis-14568	71	52	the	the	DET
fcis-14568	71	53	group	group	NOUN
fcis-14568	71	54	matrix	matrix	NOUN
fcis-14568	71	55	the	the	DET
fcis-14568	71	56	new	new	ADJ
fcis-14568	71	57	position	position	NOUN
fcis-14568	71	58	of	of	ADP
fcis-14568	71	59	each	each	DET
fcis-14568	71	60	member	member	NOUN
fcis-14568	71	61	is	be	AUX
fcis-14568	71	62	calculated	calculate	VERB
fcis-14568	71	63	using	use	VERB
fcis-14568	71	64	equation	equation	NOUN
fcis-14568	71	65	(	(	PUNCT
fcis-14568	71	66	6	6	NUM
fcis-14568	71	67	)	)	PUNCT
fcis-14568	71	68	to	to	PART
fcis-14568	71	69	calculate	calculate	VERB
fcis-14568	71	70	the	the	DET
fcis-14568	71	71	population	population	NOUN
fcis-14568	71	72	position	position	NOUN
fcis-14568	71	73	in	in	ADP
fcis-14568	71	74	the	the	DET
fcis-14568	71	75	search	search	NOUN
fcis-14568	71	76	space	space	NOUN
fcis-14568	71	77	under	under	ADP
fcis-14568	71	78	the	the	DET
fcis-14568	71	79	guidance	guidance	NOUN
fcis-14568	71	80	of	of	ADP
fcis-14568	71	81	the	the	DET
fcis-14568	71	82	hybrid	hybrid	NOUN
fcis-14568	71	83	leader	leader	NOUN
fcis-14568	71	84	.	.	PUNCT
fcis-14568	72	1	if	if	SCONJ
fcis-14568	72	2	the	the	DET
fcis-14568	72	3	value	value	NOUN
fcis-14568	72	4	of	of	ADP
fcis-14568	72	5	the	the	DET
fcis-14568	72	6	objective	objective	ADJ
fcis-14568	72	7	function	function	NOUN
fcis-14568	72	8	is	be	AUX
fcis-14568	72	9	improved	improve	VERB
fcis-14568	72	10	compared	compare	VERB
fcis-14568	72	11	to	to	ADP
fcis-14568	72	12	the	the	DET
fcis-14568	72	13	previous	previous	ADJ
fcis-14568	72	14	position	position	NOUN
fcis-14568	72	15	,	,	PUNCT
fcis-14568	72	16	the	the	DET
fcis-14568	72	17	new	new	ADJ
fcis-14568	72	18	position	position	NOUN
fcis-14568	72	19	is	be	AUX
fcis-14568	72	20	acceptable	acceptable	ADJ
fcis-14568	72	21	for	for	ADP
fcis-14568	72	22	the	the	DET
fcis-14568	72	23	corresponding	corresponding	ADJ
fcis-14568	72	24	member	member	NOUN
fcis-14568	72	25	,	,	PUNCT
fcis-14568	72	26	otherwise	otherwise	ADV
fcis-14568	72	27	stay	stay	VERB
fcis-14568	72	28	at	at	ADP
fcis-14568	72	29	the	the	DET
fcis-14568	72	30	previous	previous	ADJ
fcis-14568	72	31	position	position	NOUN
fcis-14568	72	32	.	.	PUNCT
fcis-14568	73	1	update	update	NOUN
fcis-14568	73	2	using	use	VERB
fcis-14568	73	3	equation	equation	NOUN
fcis-14568	73	4	(	(	PUNCT
fcis-14568	73	5	7	7	NUM
fcis-14568	73	6	):	):	PUNCT
fcis-14568	73	7			PROPN
fcis-14568	73	8	,	,	PUNCT
fcis-14568	73	9	,	,	PUNCT
fcis-14568	73	10	,	,	PUNCT
fcis-14568	73	11	,	,	PUNCT
fcis-14568	73	12	1	1	NUM
fcis-14568	73	13	,	,	PUNCT
fcis-14568	73	14	,	,	PUNCT
fcis-14568	73	15	,	,	PUNCT
fcis-14568	73	16	,	,	PUNCT
fcis-14568	73	17	)	)	PUNCT
fcis-14568	73	18	.	.	PUNCT
fcis-14568	74	1	(	(	PUNCT
fcis-14568	74	2	.	.	PUNCT
fcis-14568	74	3	)	)	PUNCT
fcis-14568	74	4	,	,	PUNCT
fcis-14568	74	5	.	.	PUNCT
fcis-14568	75	1	(	(	PUNCT
fcis-14568	75	2	,	,	PUNCT
fcis-14568	75	3	i	i	PRON
fcis-14568	75	4	j	j	VERB
fcis-14568	76	1	i	i	PRON
fcis-14568	76	2	j	j	VERB
fcis-14568	77	1	i	i	PRON
fcis-14568	77	2	j	j	PROPN
fcis-14568	77	3	hli	hli	PROPN
fcis-14568	77	4	inew	inew	PROPN
fcis-14568	77	5	p	p	PROPN
fcis-14568	78	1	i	i	PRON
fcis-14568	78	2	j	j	PROPN
fcis-14568	79	1	i	i	PRON
fcis-14568	79	2	j	j	VERB
fcis-14568	80	1	i	i	PRON
fcis-14568	80	2	j	j	VERB
fcis-14568	81	1	i	i	PRON
fcis-14568	81	2	j	j	NOUN
fcis-14568	82	1	x	x	PUNCT
fcis-14568	82	2	r	r	NOUN
fcis-14568	82	3	hl	hl	NOUN
fcis-14568	83	1	i	i	NOUN
fcis-14568	83	2	x	x	PROPN
fcis-14568	83	3	f	f	X
fcis-14568	83	4	fx	fx	NOUN
fcis-14568	83	5	x	x	SYM
fcis-14568	83	6	r	r	NOUN
fcis-14568	83	7	x	x	SYM
fcis-14568	83	8	hl	hl	NOUN
fcis-14568	83	9	else	else	ADV
fcis-14568	83	10			PUNCT
fcis-14568	83	11			VERB
fcis-14568	83	12			VERB
fcis-14568	83	13			ADJ
fcis-14568	83	14			NOUN
fcis-14568	83	15	(	(	PUNCT
fcis-14568	83	16	6	6	NUM
fcis-14568	83	17	)	)	PUNCT
fcis-14568	83	18			NOUN
fcis-14568	83	19	,	,	PUNCT
fcis-14568	83	20	1	1	NUM
fcis-14568	83	21	,	,	PUNCT
fcis-14568	83	22	1	1	NUM
fcis-14568	83	23	,	,	PUNCT
fcis-14568	83	24	,	,	PUNCT
fcis-14568	83	25	new	new	ADJ
fcis-14568	83	26	p	p	PROPN
fcis-14568	83	27	new	new	PROPN
fcis-14568	83	28	p	p	PROPN
fcis-14568	83	29	ii	ii	PROPN
fcis-14568	84	1	ii	ii	NOUN
fcis-14568	85	1	i	i	NOUN
fcis-14568	85	2	x	x	PROPN
fcis-14568	85	3	f	f	X
fcis-14568	85	4	fx	fx	PROPN
fcis-14568	85	5	x	x	X
fcis-14568	85	6	else	else	ADV
fcis-14568	85	7			PROPN
fcis-14568	85	8	(	(	PUNCT
fcis-14568	85	9	7	7	NUM
fcis-14568	85	10	)	)	PUNCT
fcis-14568	85	11	in	in	ADP
fcis-14568	85	12	the	the	DET
fcis-14568	85	13	formula	formula	NOUN
fcis-14568	85	14	,	,	PUNCT
fcis-14568	85	15	,	,	PUNCT
fcis-14568	85	16	1new	1new	ADJ
fcis-14568	85	17	p	p	NOUN
fcis-14568	85	18	ix	ix	ADV
fcis-14568	85	19	is	be	AUX
fcis-14568	85	20	the	the	DET
fcis-14568	85	21	new	new	ADJ
fcis-14568	85	22	position	position	NOUN
fcis-14568	85	23	of	of	ADP
fcis-14568	85	24	the	the	DET
fcis-14568	85	25	i	i	PROPN
fcis-14568	85	26	-	-	PUNCT
fcis-14568	85	27	th	th	X
fcis-14568	85	28	member	member	NOUN
fcis-14568	85	29	,	,	PUNCT
fcis-14568	85	30	r	r	NOUN
fcis-14568	85	31	belongs	belong	VERB
fcis-14568	85	32	to	to	ADP
fcis-14568	85	33	[	[	X
fcis-14568	85	34	0,1	0,1	NUM
fcis-14568	85	35	]	]	PUNCT
fcis-14568	85	36	,	,	PUNCT
fcis-14568	85	37	and	and	CCONJ
fcis-14568	85	38	i	i	PRON
fcis-14568	85	39	is	be	AUX
fcis-14568	85	40	a	a	DET
fcis-14568	85	41	random	random	ADJ
fcis-14568	85	42	integer	integer	NOUN
fcis-14568	85	43	in	in	ADP
fcis-14568	85	44	[	[	X
fcis-14568	85	45	1,2	1,2	NUM
fcis-14568	85	46	]	]	PUNCT
fcis-14568	85	47	.	.	PUNCT
fcis-14568	86	1	in	in	ADP
fcis-14568	86	2	the	the	DET
fcis-14568	86	3	development	development	NOUN
fcis-14568	86	4	phase	phase	NOUN
fcis-14568	86	5	i.e.	i.e.	X
fcis-14568	86	6	local	local	ADJ
fcis-14568	86	7	search	search	NOUN
fcis-14568	86	8	,	,	PUNCT
fcis-14568	86	9	in	in	ADP
fcis-14568	86	10	order	order	NOUN
fcis-14568	86	11	to	to	PART
fcis-14568	86	12	find	find	VERB
fcis-14568	86	13	better	well	ADJ
fcis-14568	86	14	solutions	solution	NOUN
fcis-14568	86	15	close	close	ADV
fcis-14568	86	16	to	to	ADP
fcis-14568	86	17	the	the	DET
fcis-14568	86	18	obtained	obtain	VERB
fcis-14568	86	19	solution	solution	NOUN
fcis-14568	86	20	.	.	PUNCT
fcis-14568	87	1	consider	consider	VERB
fcis-14568	87	2	a	a	DET
fcis-14568	87	3	neighborhood	neighborhood	NOUN
fcis-14568	87	4	around	around	ADP
fcis-14568	87	5	each	each	DET
fcis-14568	87	6	member	member	NOUN
fcis-14568	87	7	of	of	ADP
fcis-14568	87	8	the	the	DET
fcis-14568	87	9	group	group	NOUN
fcis-14568	87	10	that	that	PRON
fcis-14568	87	11	allows	allow	VERB
fcis-14568	87	12	that	that	DET
fcis-14568	87	13	member	member	NOUN
fcis-14568	87	14	to	to	PART
fcis-14568	87	15	change	change	VERB
fcis-14568	87	16	position	position	NOUN
fcis-14568	87	17	by	by	ADP
fcis-14568	87	18	locally	locally	ADV
fcis-14568	87	19	searching	search	VERB
fcis-14568	87	20	in	in	ADP
fcis-14568	87	21	the	the	DET
fcis-14568	87	22	area	area	NOUN
fcis-14568	87	23	and	and	CCONJ
fcis-14568	87	24	finding	find	VERB
fcis-14568	87	25	a	a	DET
fcis-14568	87	26	position	position	NOUN
fcis-14568	87	27	with	with	ADP
fcis-14568	87	28	a	a	DET
fcis-14568	87	29	better	well	ADJ
fcis-14568	87	30	value	value	NOUN
fcis-14568	87	31	of	of	ADP
fcis-14568	87	32	the	the	DET
fcis-14568	87	33	objective	objective	ADJ
fcis-14568	87	34	function	function	NOUN
fcis-14568	87	35	,	,	PUNCT
fcis-14568	87	36	using	use	VERB
fcis-14568	87	37	equation	equation	NOUN
fcis-14568	87	38	(	(	PUNCT
fcis-14568	87	39	8)	8)	NUM
fcis-14568	87	40	to	to	PART
fcis-14568	87	41	improve	improve	VERB
fcis-14568	87	42	and	and	CCONJ
fcis-14568	87	43	increase	increase	VERB
fcis-14568	87	44	hlbo	hlbo	PROPN
fcis-14568	87	45	development	development	NOUN
fcis-14568	87	46	ability	ability	NOUN
fcis-14568	87	47	,	,	PUNCT
fcis-14568	87	48	if	if	SCONJ
fcis-14568	87	49	the	the	DET
fcis-14568	87	50	newly	newly	ADV
fcis-14568	87	51	calculated	calculate	VERB
fcis-14568	87	52	position	position	NOUN
fcis-14568	87	53	improves	improve	VERB
fcis-14568	87	54	the	the	DET
fcis-14568	87	55	value	value	NOUN
fcis-14568	87	56	of	of	ADP
fcis-14568	87	57	the	the	DET
fcis-14568	87	58	objective	objective	ADJ
fcis-14568	87	59	function	function	NOUN
fcis-14568	87	60	,	,	PUNCT
fcis-14568	87	61	the	the	DET
fcis-14568	87	62	position	position	NOUN
fcis-14568	87	63	is	be	AUX
fcis-14568	87	64	updated	update	VERB
fcis-14568	87	65	,	,	PUNCT
fcis-14568	87	66	as	as	SCONJ
fcis-14568	87	67	shown	show	VERB
fcis-14568	87	68	in	in	ADP
fcis-14568	87	69	equation	equation	NOUN
fcis-14568	87	70	(	(	PUNCT
fcis-14568	87	71	9	9	NUM
fcis-14568	87	72	)	)	PUNCT
fcis-14568	87	73	.	.	PUNCT
fcis-14568	88	1	,	,	PUNCT
fcis-14568	88	2	2	2	NUM
fcis-14568	88	3	,	,	PUNCT
fcis-14568	88	4	,	,	PUNCT
fcis-14568	88	5	,	,	PUNCT
fcis-14568	88	6	(	(	PUNCT
fcis-14568	88	7	1	1	NUM
fcis-14568	88	8	2	2	NUM
fcis-14568	88	9	)	)	PUNCT
fcis-14568	88	10	.	.	PUNCT
fcis-14568	89	1	.(1	.(1	PUNCT
fcis-14568	89	2	)	)	PUNCT
fcis-14568	89	3	.new	.new	PUNCT
fcis-14568	90	1	p	p	X
fcis-14568	91	1	i	i	PRON
fcis-14568	91	2	j	j	PROPN
fcis-14568	92	1	i	i	PRON
fcis-14568	92	2	ji	ji	PROPN
fcis-14568	93	1	j	j	PROPN
fcis-14568	93	2	t	t	NOUN
fcis-14568	93	3	x	x	PUNCT
fcis-14568	94	1	x	x	PUNCT
fcis-14568	94	2	r	r	NOUN
fcis-14568	94	3	r	r	NOUN
fcis-14568	94	4	x	x	SYM
fcis-14568	94	5	t	t	PROPN
fcis-14568	94	6			PROPN
fcis-14568	94	7			PUNCT
fcis-14568	94	8			PROPN
fcis-14568	94	9			PROPN
fcis-14568	94	10	(	(	PUNCT
fcis-14568	94	11	8)	8)	NUM
fcis-14568	94	12			PROPN
fcis-14568	94	13	,	,	PUNCT
fcis-14568	94	14	2	2	NUM
fcis-14568	94	15	,	,	PUNCT
fcis-14568	94	16	2	2	NUM
fcis-14568	94	17	,	,	PUNCT
fcis-14568	94	18	,	,	PUNCT
fcis-14568	94	19	new	new	ADJ
fcis-14568	94	20	p	p	PROPN
fcis-14568	94	21	new	new	PROPN
fcis-14568	94	22	p	p	PROPN
fcis-14568	94	23	ii	ii	PROPN
fcis-14568	95	1	ii	ii	NOUN
fcis-14568	96	1	i	i	NOUN
fcis-14568	96	2	x	x	PROPN
fcis-14568	96	3	f	f	X
fcis-14568	96	4	fx	fx	PROPN
fcis-14568	96	5	x	x	X
fcis-14568	96	6	else	else	ADV
fcis-14568	96	7			PROPN
fcis-14568	96	8	(	(	PUNCT
fcis-14568	96	9	9	9	NUM
fcis-14568	96	10	)	)	PUNCT
fcis-14568	96	11	in	in	ADP
fcis-14568	96	12	the	the	DET
fcis-14568	96	13	formula	formula	NOUN
fcis-14568	96	14	:	:	PUNCT
fcis-14568	96	15	,	,	PUNCT
fcis-14568	96	16	2new	2new	ADV
fcis-14568	96	17	p	p	NOUN
fcis-14568	96	18	ix	ix	ADV
fcis-14568	96	19	is	be	AUX
fcis-14568	96	20	the	the	DET
fcis-14568	96	21	new	new	ADJ
fcis-14568	96	22	position	position	NOUN
fcis-14568	96	23	of	of	ADP
fcis-14568	96	24	the	the	DET
fcis-14568	96	25	i	i	PROPN
fcis-14568	96	26	-	-	PUNCT
fcis-14568	96	27	th	th	X
fcis-14568	96	28	member	member	NOUN
fcis-14568	96	29	,	,	PUNCT
fcis-14568	96	30	r	r	NOUN
fcis-14568	96	31	equals	equal	VERB
fcis-14568	96	32	0.2	0.2	NUM
fcis-14568	96	33	,	,	PUNCT
fcis-14568	96	34	t	t	PROPN
fcis-14568	96	35	is	be	AUX
fcis-14568	96	36	the	the	DET
fcis-14568	96	37	current	current	ADJ
fcis-14568	96	38	iteration	iteration	NOUN
fcis-14568	96	39	,	,	PUNCT
fcis-14568	96	40	and	and	CCONJ
fcis-14568	96	41	t	t	PROPN
fcis-14568	96	42	is	be	AUX
fcis-14568	96	43	the	the	DET
fcis-14568	96	44	maximum	maximum	ADJ
fcis-14568	96	45	number	number	NOUN
fcis-14568	96	46	of	of	ADP
fcis-14568	96	47	iterations	iteration	NOUN
fcis-14568	96	48	.	.	PUNCT
fcis-14568	97	1	2.2	2.2	NUM
fcis-14568	97	2	.	.	PUNCT
fcis-14568	97	3	improved	improve	VERB
fcis-14568	97	4	hybrid	hybrid	ADJ
fcis-14568	97	5	leader	leader	NOUN
fcis-14568	97	6	algorithm	algorithm	NOUN
fcis-14568	97	7	improvement	improvement	NOUN
fcis-14568	97	8	1	1	NUM
fcis-14568	97	9	;	;	PUNCT
fcis-14568	97	10	the	the	DET
fcis-14568	97	11	initialization	initialization	NOUN
fcis-14568	97	12	position	position	NOUN
fcis-14568	97	13	of	of	ADP
fcis-14568	97	14	the	the	DET
fcis-14568	97	15	original	original	ADJ
fcis-14568	97	16	algorithm	algorithm	NOUN
fcis-14568	97	17	is	be	AUX
fcis-14568	97	18	random	random	ADJ
fcis-14568	97	19	,	,	PUNCT
fcis-14568	97	20	which	which	PRON
fcis-14568	97	21	may	may	AUX
fcis-14568	97	22	cause	cause	VERB
fcis-14568	97	23	the	the	DET
fcis-14568	97	24	initial	initial	ADJ
fcis-14568	97	25	position	position	NOUN
fcis-14568	97	26	to	to	PART
fcis-14568	97	27	not	not	PART
fcis-14568	97	28	evenly	evenly	ADV
fcis-14568	97	29	cover	cover	VERB
fcis-14568	97	30	the	the	DET
fcis-14568	97	31	solution	solution	NOUN
fcis-14568	97	32	space	space	NOUN
fcis-14568	97	33	.	.	PUNCT
fcis-14568	98	1	this	this	DET
fcis-14568	98	2	paper	paper	NOUN
fcis-14568	98	3	proposes	propose	VERB
fcis-14568	98	4	a	a	DET
fcis-14568	98	5	sinusoidal	sinusoidal	ADJ
fcis-14568	98	6	mapping	mapping	NOUN
fcis-14568	98	7	to	to	PART
fcis-14568	98	8	replace	replace	VERB
fcis-14568	98	9	the	the	DET
fcis-14568	98	10	initialization	initialization	NOUN
fcis-14568	98	11	position	position	NOUN
fcis-14568	98	12	in	in	ADP
fcis-14568	98	13	the	the	DET
fcis-14568	98	14	original	original	ADJ
fcis-14568	98	15	algorithm	algorithm	NOUN
fcis-14568	98	16	.	.	PUNCT
fcis-14568	99	1	the	the	DET
fcis-14568	99	2	introduction	introduction	NOUN
fcis-14568	99	3	of	of	ADP
fcis-14568	99	4	cubic	cubic	ADJ
fcis-14568	99	5	mapping	mapping	NOUN
fcis-14568	99	6	is	be	AUX
fcis-14568	99	7	on	on	ADP
fcis-14568	99	8	the	the	DET
fcis-14568	99	9	one	one	NUM
fcis-14568	99	10	hand	hand	NOUN
fcis-14568	99	11	because	because	SCONJ
fcis-14568	99	12	the	the	DET
fcis-14568	99	13	population	population	NOUN
fcis-14568	99	14	it	it	PRON
fcis-14568	99	15	generates	generate	VERB
fcis-14568	99	16	is	be	AUX
fcis-14568	99	17	evenly	evenly	ADV
fcis-14568	99	18	distributed	distribute	VERB
fcis-14568	99	19	,	,	PUNCT
fcis-14568	99	20	which	which	PRON
fcis-14568	99	21	can	can	AUX
fcis-14568	99	22	avoid	avoid	VERB
fcis-14568	99	23	falling	fall	VERB
fcis-14568	99	24	into	into	ADP
fcis-14568	99	25	the	the	DET
fcis-14568	99	26	local	local	ADJ
fcis-14568	99	27	optimal	optimal	ADJ
fcis-14568	99	28	solution	solution	NOUN
fcis-14568	99	29	during	during	ADP
fcis-14568	99	30	the	the	DET
fcis-14568	99	31	optimization	optimization	NOUN
fcis-14568	99	32	process	process	NOUN
fcis-14568	99	33	,	,	PUNCT
fcis-14568	99	34	thus	thus	ADV
fcis-14568	99	35	improving	improve	VERB
fcis-14568	99	36	the	the	DET
fcis-14568	99	37	convergence	convergence	NOUN
fcis-14568	99	38	speed	speed	NOUN
fcis-14568	99	39	of	of	ADP
fcis-14568	99	40	the	the	DET
fcis-14568	99	41	algorithm	algorithm	NOUN
fcis-14568	99	42	.	.	PUNCT
fcis-14568	100	1	on	on	ADP
fcis-14568	100	2	the	the	DET
fcis-14568	100	3	other	other	ADJ
fcis-14568	100	4	hand	hand	NOUN
fcis-14568	100	5	,	,	PUNCT
fcis-14568	100	6	it	it	PRON
fcis-14568	100	7	ensures	ensure	VERB
fcis-14568	100	8	the	the	DET
fcis-14568	100	9	diversity	diversity	NOUN
fcis-14568	100	10	of	of	ADP
fcis-14568	100	11	understanding	understanding	NOUN
fcis-14568	100	12	.	.	PUNCT
fcis-14568	101	1	the	the	DET
fcis-14568	101	2	population	population	NOUN
fcis-14568	101	3	generated	generate	VERB
fcis-14568	101	4	by	by	ADP
fcis-14568	101	5	sinusoidal	sinusoidal	NOUN
fcis-14568	101	6	mapping	mapping	NOUN
fcis-14568	101	7	has	have	VERB
fcis-14568	101	8	a	a	DET
fcis-14568	101	9	high	high	ADJ
fcis-14568	101	10	degree	degree	NOUN
fcis-14568	101	11	of	of	ADP
fcis-14568	101	12	randomness	randomness	NOUN
fcis-14568	101	13	and	and	CCONJ
fcis-14568	101	14	uncertainty	uncertainty	NOUN
fcis-14568	101	15	,	,	PUNCT
fcis-14568	101	16	which	which	PRON
fcis-14568	101	17	helps	help	VERB
fcis-14568	101	18	ensure	ensure	VERB
fcis-14568	101	19	the	the	DET
fcis-14568	101	20	diversity	diversity	NOUN
fcis-14568	101	21	of	of	ADP
fcis-14568	101	22	solutions	solution	NOUN
fcis-14568	101	23	.	.	PUNCT
fcis-14568	102	1	its	its	PRON
fcis-14568	102	2	location	location	NOUN
fcis-14568	102	3	distribution	distribution	NOUN
fcis-14568	102	4	map	map	NOUN
fcis-14568	102	5	is	be	AUX
fcis-14568	102	6	shown	show	VERB
fcis-14568	102	7	in	in	ADP
fcis-14568	102	8	figure	figure	NOUN
fcis-14568	102	9	1	1	NUM
fcis-14568	102	10	2	2	NUM
fcis-14568	102	11	1	1	NUM
fcis-14568	102	12	sin	sin	NOUN
fcis-14568	102	13	(	(	PUNCT
fcis-14568	102	14	{	{	PUNCT
fcis-14568	102	15	lb	lb	NUM
fcis-14568	102	16	ub}n	ub}n	PROPN
fcis-14568	102	17	n	n	CCONJ
fcis-14568	102	18	nnx	nnx	NOUN
fcis-14568	102	19	x	x	PROPN
fcis-14568	102	20	x	x	PROPN
fcis-14568	102	21	x	x	NOUN
fcis-14568	102	22			ADP
fcis-14568	102	23			PROPN
fcis-14568	102	24			PROPN
fcis-14568	102	25	）	）	NOUN
fcis-14568	102	26	，	，	PROPN
fcis-14568	102	27	，	，	PUNCT
fcis-14568	102	28	(	(	PUNCT
fcis-14568	102	29	10	10	NUM
fcis-14568	102	30	)	)	PUNCT
fcis-14568	102	31	where	where	NOUN
fcis-14568	102	32	is	be	AUX
fcis-14568	102	33	the	the	DET
fcis-14568	102	34	random	random	ADJ
fcis-14568	102	35	coefficient	coefficient	NOUN
fcis-14568	102	36	of	of	ADP
fcis-14568	102	37	the	the	DET
fcis-14568	102	38	mapping	mapping	NOUN
fcis-14568	102	39	.	.	PUNCT
fcis-14568	103	1	improvement	improvement	NOUN
fcis-14568	103	2	2	2	NUM
fcis-14568	103	3	:	:	PUNCT
fcis-14568	103	4	in	in	ADP
fcis-14568	103	5	the	the	DET
fcis-14568	103	6	local	local	ADJ
fcis-14568	103	7	exploration	exploration	NOUN
fcis-14568	103	8	stage	stage	NOUN
fcis-14568	103	9	of	of	ADP
fcis-14568	103	10	the	the	DET
fcis-14568	103	11	algorithm	algorithm	NOUN
fcis-14568	103	12	,	,	PUNCT
fcis-14568	103	13	it	it	PRON
fcis-14568	103	14	can	can	AUX
fcis-14568	103	15	be	be	AUX
fcis-14568	103	16	seen	see	VERB
fcis-14568	103	17	from	from	ADP
fcis-14568	103	18	equation	equation	NOUN
fcis-14568	103	19	(	(	PUNCT
fcis-14568	103	20	8)	8)	NUM
fcis-14568	103	21	that	that	PRON
fcis-14568	103	22	the	the	DET
fcis-14568	103	23	new	new	ADJ
fcis-14568	103	24	position	position	NOUN
fcis-14568	103	25	keeps	keep	VERB
fcis-14568	103	26	the	the	DET
fcis-14568	103	27	specific	specific	ADJ
fcis-14568	103	28	direction	direction	NOUN
fcis-14568	103	29	unchanged	unchanged	ADJ
fcis-14568	103	30	based	base	VERB
fcis-14568	103	31	on	on	ADP
fcis-14568	103	32	the	the	DET
fcis-14568	103	33	original	original	ADJ
fcis-14568	103	34	position	position	NOUN
fcis-14568	103	35	and	and	CCONJ
fcis-14568	103	36	increases	increase	VERB
fcis-14568	103	37	the	the	DET
fcis-14568	103	38	length	length	NOUN
fcis-14568	103	39	of	of	ADP
fcis-14568	103	40	the	the	DET
fcis-14568	103	41	search	search	NOUN
fcis-14568	103	42	.	.	PUNCT
fcis-14568	104	1	however	however	ADV
fcis-14568	104	2	,	,	PUNCT
fcis-14568	104	3	this	this	PRON
fcis-14568	104	4	will	will	AUX
fcis-14568	104	5	lead	lead	VERB
fcis-14568	104	6	to	to	ADP
fcis-14568	104	7	a	a	DET
fcis-14568	104	8	lack	lack	NOUN
fcis-14568	104	9	of	of	ADP
fcis-14568	104	10	diversity	diversity	NOUN
fcis-14568	104	11	in	in	ADP
fcis-14568	104	12	exploration	exploration	NOUN
fcis-14568	104	13	and	and	CCONJ
fcis-14568	104	14	it	it	PRON
fcis-14568	104	15	is	be	AUX
fcis-14568	104	16	easy	easy	ADJ
fcis-14568	104	17	to	to	PART
fcis-14568	104	18	fall	fall	VERB
fcis-14568	104	19	into	into	ADP
fcis-14568	104	20	local	local	ADJ
fcis-14568	104	21	among	among	ADP
fcis-14568	104	22	the	the	DET
fcis-14568	104	23	optimal	optimal	ADJ
fcis-14568	104	24	solutions	solution	NOUN
fcis-14568	104	25	,	,	PUNCT
fcis-14568	104	26	.	.	PUNCT
fcis-14568	105	1	this	this	DET
fcis-14568	105	2	paper	paper	NOUN
fcis-14568	105	3	proposes	propose	VERB
fcis-14568	105	4	an	an	DET
fcis-14568	105	5	improvement	improvement	NOUN
fcis-14568	105	6	on	on	ADP
fcis-14568	105	7	the	the	DET
fcis-14568	105	8	search	search	NOUN
fcis-14568	105	9	direction	direction	NOUN
fcis-14568	105	10	24	24	NUM
fcis-14568	105	11	based	base	VERB
fcis-14568	105	12	on	on	ADP
fcis-14568	105	13	it	it	PRON
fcis-14568	105	14	,	,	PUNCT
fcis-14568	105	15	that	that	ADV
fcis-14568	105	16	is	is	ADV
fcis-14568	105	17	,	,	PUNCT
fcis-14568	105	18	searching	search	VERB
fcis-14568	105	19	along	along	ADP
fcis-14568	105	20	the	the	DET
fcis-14568	105	21	optimal	optimal	ADJ
fcis-14568	105	22	direction	direction	NOUN
fcis-14568	105	23	of	of	ADP
fcis-14568	105	24	the	the	DET
fcis-14568	105	25	current	current	ADJ
fcis-14568	105	26	iteration	iteration	NOUN
fcis-14568	105	27	,	,	PUNCT
fcis-14568	105	28	which	which	PRON
fcis-14568	105	29	increases	increase	VERB
fcis-14568	105	30	the	the	DET
fcis-14568	105	31	search	search	NOUN
fcis-14568	105	32	range	range	NOUN
fcis-14568	105	33	and	and	CCONJ
fcis-14568	105	34	makes	make	VERB
fcis-14568	105	35	it	it	PRON
fcis-14568	105	36	easier	easy	ADJ
fcis-14568	105	37	to	to	PART
fcis-14568	105	38	jump	jump	VERB
fcis-14568	105	39	out	out	ADP
fcis-14568	105	40	of	of	ADP
fcis-14568	105	41	the	the	DET
fcis-14568	105	42	local	local	ADJ
fcis-14568	105	43	optimal	optimal	ADJ
fcis-14568	105	44	solution	solution	NOUN
fcis-14568	105	45	.	.	PUNCT
fcis-14568	106	1	figure	figure	NOUN
fcis-14568	106	2	1	1	NUM
fcis-14568	106	3	.	.	PUNCT
fcis-14568	106	4	sinusoidal	sinusoidal	ADJ
fcis-14568	106	5	location	location	NOUN
fcis-14568	106	6	distribution	distribution	NOUN
fcis-14568	106	7	map	map	NOUN
fcis-14568	106	8	,	,	PUNCT
fcis-14568	106	9	2	2	NUM
fcis-14568	106	10	,	,	PUNCT
fcis-14568	106	11	,	,	PUNCT
fcis-14568	106	12	,	,	PUNCT
fcis-14568	107	1	+	+	CCONJ
fcis-14568	107	2	,	,	PUNCT
fcis-14568	107	3	,	,	PUNCT
fcis-14568	107	4	(	(	PUNCT
fcis-14568	107	5	1	1	NUM
fcis-14568	107	6	2	2	NUM
fcis-14568	107	7	)	)	PUNCT
fcis-14568	107	8	.	.	PUNCT
fcis-14568	108	1	.(1	.(1	PUNCT
fcis-14568	108	2	)	)	PUNCT
fcis-14568	108	3	.	.	PUNCT
fcis-14568	109	1	.	.	PUNCT
fcis-14568	110	1	(	(	PUNCT
fcis-14568	110	2	)	)	PUNCT
fcis-14568	111	1	[	[	X
fcis-14568	111	2	0,1	0,1	NUM
fcis-14568	111	3	]	]	X
fcis-14568	111	4	new	new	ADJ
fcis-14568	111	5	p	p	X
fcis-14568	112	1	i	i	PRON
fcis-14568	112	2	j	j	PROPN
fcis-14568	113	1	i	i	PRON
fcis-14568	113	2	ji	ji	PROPN
fcis-14568	114	1	j	j	PROPN
fcis-14568	114	2	best	well	ADV
fcis-14568	114	3	i	i	PRON
fcis-14568	114	4	j	j	PROPN
fcis-14568	115	1	t	t	NOUN
fcis-14568	115	2	x	x	PUNCT
fcis-14568	116	1	x	x	PUNCT
fcis-14568	116	2	r	r	NOUN
fcis-14568	116	3	r	r	NOUN
fcis-14568	116	4	x	x	SYM
fcis-14568	116	5	t	t	NOUN
fcis-14568	116	6	x	x	X
fcis-14568	117	1	x	x	PROPN
fcis-14568	117	2			PROPN
fcis-14568	117	3			NUM
fcis-14568	117	4			ADJ
fcis-14568	117	5			PROPN
fcis-14568	117	6			PROPN
fcis-14568	117	7			NOUN
fcis-14568	117	8	(	(	PUNCT
fcis-14568	117	9	11	11	NUM
fcis-14568	117	10	)	)	PUNCT
fcis-14568	117	11	two	two	NUM
fcis-14568	117	12	improved	improved	ADJ
fcis-14568	117	13	measures	measure	NOUN
fcis-14568	117	14	are	be	AUX
fcis-14568	117	15	introduced	introduce	VERB
fcis-14568	117	16	into	into	ADP
fcis-14568	117	17	the	the	DET
fcis-14568	117	18	original	original	ADJ
fcis-14568	117	19	algorithm	algorithm	NOUN
fcis-14568	117	20	to	to	PART
fcis-14568	117	21	form	form	VERB
fcis-14568	117	22	an	an	DET
fcis-14568	117	23	improved	improved	ADJ
fcis-14568	117	24	hybrid	hybrid	ADJ
fcis-14568	117	25	leader	leader	NOUN
fcis-14568	117	26	algorithm	algorithm	NOUN
fcis-14568	117	27	.	.	PUNCT
fcis-14568	118	1	by	by	ADP
fcis-14568	118	2	realizing	realize	VERB
fcis-14568	118	3	the	the	DET
fcis-14568	118	4	two	two	NUM
fcis-14568	118	5	stages	stage	NOUN
fcis-14568	118	6	of	of	ADP
fcis-14568	118	7	exploration	exploration	NOUN
fcis-14568	118	8	and	and	CCONJ
fcis-14568	118	9	development	development	NOUN
fcis-14568	118	10	,	,	PUNCT
fcis-14568	118	11	all	all	DET
fcis-14568	118	12	hlbo	hlbo	PROPN
fcis-14568	118	13	members	member	NOUN
fcis-14568	118	14	are	be	AUX
fcis-14568	118	15	updated	update	VERB
fcis-14568	118	16	,	,	PUNCT
fcis-14568	118	17	and	and	CCONJ
fcis-14568	118	18	the	the	DET
fcis-14568	118	19	best	good	ADJ
fcis-14568	118	20	candidate	candidate	NOUN
fcis-14568	118	21	solution	solution	NOUN
fcis-14568	118	22	experienced	experience	VERB
fcis-14568	118	23	during	during	ADP
fcis-14568	118	24	the	the	DET
fcis-14568	118	25	generation	generation	NOUN
fcis-14568	118	26	process	process	NOUN
fcis-14568	118	27	is	be	AUX
fcis-14568	118	28	introduced	introduce	VERB
fcis-14568	118	29	as	as	ADP
fcis-14568	118	30	the	the	DET
fcis-14568	118	31	solution	solution	NOUN
fcis-14568	118	32	to	to	ADP
fcis-14568	118	33	the	the	DET
fcis-14568	118	34	problem	problem	NOUN
fcis-14568	118	35	.	.	PUNCT
fcis-14568	119	1	and	and	CCONJ
fcis-14568	119	2	the	the	DET
fcis-14568	119	3	iteration	iteration	NOUN
fcis-14568	119	4	of	of	ADP
fcis-14568	119	5	the	the	DET
fcis-14568	119	6	algorithm	algorithm	NOUN
fcis-14568	119	7	is	be	AUX
fcis-14568	119	8	completed	complete	VERB
fcis-14568	119	9	,	,	PUNCT
fcis-14568	119	10	the	the	DET
fcis-14568	119	11	algorithm	algorithm	NOUN
fcis-14568	119	12	enters	enter	VERB
fcis-14568	119	13	the	the	DET
fcis-14568	119	14	next	next	ADJ
fcis-14568	119	15	iteration	iteration	NOUN
fcis-14568	119	16	,	,	PUNCT
fcis-14568	119	17	and	and	CCONJ
fcis-14568	119	18	the	the	DET
fcis-14568	119	19	iteration	iteration	NOUN
fcis-14568	119	20	of	of	ADP
fcis-14568	119	21	the	the	DET
fcis-14568	119	22	algorithm	algorithm	NOUN
fcis-14568	119	23	is	be	AUX
fcis-14568	119	24	completed	complete	VERB
fcis-14568	119	25	.	.	PUNCT
fcis-14568	120	1	2.3	2.3	NUM
fcis-14568	120	2	.	.	PUNCT
fcis-14568	121	1	convolutional	convolutional	ADJ
fcis-14568	121	2	neural	neural	ADJ
fcis-14568	121	3	network	network	NOUN
fcis-14568	121	4	convolutional	convolutional	ADJ
fcis-14568	121	5	neural	neural	ADJ
fcis-14568	121	6	network	network	NOUN
fcis-14568	121	7	is	be	AUX
fcis-14568	121	8	a	a	DET
fcis-14568	121	9	model	model	NOUN
fcis-14568	121	10	of	of	ADP
fcis-14568	121	11	deep	deep	ADJ
fcis-14568	121	12	learning	learning	NOUN
fcis-14568	121	13	,	,	PUNCT
fcis-14568	121	14	which	which	PRON
fcis-14568	121	15	consists	consist	VERB
fcis-14568	121	16	of	of	ADP
fcis-14568	121	17	input	input	NOUN
fcis-14568	121	18	layer	layer	NOUN
fcis-14568	121	19	,	,	PUNCT
fcis-14568	121	20	convolution	convolution	NOUN
fcis-14568	121	21	layer	layer	NOUN
fcis-14568	121	22	,	,	PUNCT
fcis-14568	121	23	pooling	pool	VERB
fcis-14568	121	24	layer	layer	NOUN
fcis-14568	121	25	,	,	PUNCT
fcis-14568	121	26	activation	activation	NOUN
fcis-14568	121	27	function	function	NOUN
fcis-14568	121	28	,	,	PUNCT
fcis-14568	121	29	fully	fully	ADV
fcis-14568	121	30	connected	connected	ADJ
fcis-14568	121	31	layer	layer	NOUN
fcis-14568	121	32	output	output	NOUN
fcis-14568	121	33	layer	layer	NOUN
fcis-14568	121	34	,	,	PUNCT
fcis-14568	121	35	etc	etc	X
fcis-14568	121	36	.	.	X
fcis-14568	122	1	it	it	PRON
fcis-14568	122	2	has	have	VERB
fcis-14568	122	3	the	the	DET
fcis-14568	122	4	characteristics	characteristic	NOUN
fcis-14568	122	5	of	of	ADP
fcis-14568	122	6	local	local	ADJ
fcis-14568	122	7	connection	connection	NOUN
fcis-14568	122	8	and	and	CCONJ
fcis-14568	122	9	weight	weight	NOUN
fcis-14568	122	10	sharing	sharing	NOUN
fcis-14568	122	11	.	.	PUNCT
fcis-14568	123	1	the	the	DET
fcis-14568	123	2	convolutional	convolutional	ADJ
fcis-14568	123	3	neural	neural	ADJ
fcis-14568	123	4	network	network	NOUN
fcis-14568	123	5	performs	perform	VERB
fcis-14568	123	6	feature	feature	NOUN
fcis-14568	123	7	extraction	extraction	NOUN
fcis-14568	123	8	through	through	ADP
fcis-14568	123	9	convolution	convolution	NOUN
fcis-14568	123	10	operations	operation	NOUN
fcis-14568	123	11	,	,	PUNCT
fcis-14568	123	12	reducing	reduce	VERB
fcis-14568	123	13	the	the	DET
fcis-14568	123	14	number	number	NOUN
fcis-14568	123	15	of	of	ADP
fcis-14568	123	16	parameters	parameter	NOUN
fcis-14568	123	17	of	of	ADP
fcis-14568	123	18	the	the	DET
fcis-14568	123	19	model	model	NOUN
fcis-14568	123	20	and	and	CCONJ
fcis-14568	123	21	greatly	greatly	ADV
fcis-14568	123	22	reducing	reduce	VERB
fcis-14568	123	23	the	the	DET
fcis-14568	123	24	computational	computational	ADJ
fcis-14568	123	25	burden	burden	NOUN
fcis-14568	123	26	of	of	ADP
fcis-14568	123	27	the	the	DET
fcis-14568	123	28	model	model	NOUN
fcis-14568	123	29	.	.	PUNCT
fcis-14568	124	1	the	the	DET
fcis-14568	124	2	convolutional	convolutional	ADJ
fcis-14568	124	3	neural	neural	ADJ
fcis-14568	124	4	network	network	NOUN
fcis-14568	124	5	can	can	AUX
fcis-14568	124	6	capture	capture	VERB
fcis-14568	124	7	through	through	ADP
fcis-14568	124	8	multi	multi	ADJ
fcis-14568	124	9	-	-	ADJ
fcis-14568	124	10	layer	layer	ADJ
fcis-14568	124	11	convolution	convolution	NOUN
fcis-14568	124	12	operations	operation	NOUN
fcis-14568	124	13	.	.	PUNCT
fcis-14568	125	1	the	the	DET
fcis-14568	125	2	spatial	spatial	ADJ
fcis-14568	125	3	hierarchy	hierarchy	NOUN
fcis-14568	125	4	of	of	ADP
fcis-14568	125	5	information	information	NOUN
fcis-14568	125	6	,	,	PUNCT
fcis-14568	125	7	the	the	DET
fcis-14568	125	8	gradual	gradual	ADJ
fcis-14568	125	9	abstraction	abstraction	NOUN
fcis-14568	125	10	from	from	ADP
fcis-14568	125	11	low	low	ADJ
fcis-14568	125	12	-	-	PUNCT
fcis-14568	125	13	order	order	NOUN
fcis-14568	125	14	features	feature	NOUN
fcis-14568	125	15	to	to	ADP
fcis-14568	125	16	high	high	ADJ
fcis-14568	125	17	-	-	PUNCT
fcis-14568	125	18	order	order	NOUN
fcis-14568	125	19	features	feature	NOUN
fcis-14568	125	20	,	,	PUNCT
fcis-14568	125	21	extracts	extract	NOUN
fcis-14568	125	22	rich	rich	ADJ
fcis-14568	125	23	features	feature	NOUN
fcis-14568	125	24	,	,	PUNCT
fcis-14568	125	25	which	which	PRON
fcis-14568	125	26	have	have	VERB
fcis-14568	125	27	excellent	excellent	ADJ
fcis-14568	125	28	performance	performance	NOUN
fcis-14568	125	29	in	in	ADP
fcis-14568	125	30	image	image	NOUN
fcis-14568	125	31	and	and	CCONJ
fcis-14568	125	32	video	video	NOUN
fcis-14568	125	33	processing	processing	NOUN
fcis-14568	125	34	tasks	task	NOUN
fcis-14568	125	35	,	,	PUNCT
fcis-14568	125	36	and	and	CCONJ
fcis-14568	125	37	are	be	AUX
fcis-14568	125	38	widely	widely	ADV
fcis-14568	125	39	used	use	VERB
fcis-14568	125	40	in	in	ADP
fcis-14568	125	41	image	image	NOUN
fcis-14568	125	42	classification	classification	NOUN
fcis-14568	125	43	,	,	PUNCT
fcis-14568	125	44	target	target	NOUN
fcis-14568	125	45	detection	detection	NOUN
fcis-14568	125	46	,	,	PUNCT
fcis-14568	125	47	image	image	NOUN
fcis-14568	125	48	segmentation	segmentation	NOUN
fcis-14568	125	49	and	and	CCONJ
fcis-14568	125	50	image	image	NOUN
fcis-14568	125	51	generation	generation	NOUN
fcis-14568	125	52	.	.	PUNCT
fcis-14568	126	1	it	it	PRON
fcis-14568	126	2	has	have	VERB
fcis-14568	126	3	a	a	DET
fcis-14568	126	4	wide	wide	ADJ
fcis-14568	126	5	range	range	NOUN
fcis-14568	126	6	of	of	ADP
fcis-14568	126	7	applications	application	NOUN
fcis-14568	126	8	in	in	ADP
fcis-14568	126	9	other	other	ADJ
fcis-14568	126	10	fields	field	NOUN
fcis-14568	126	11	.	.	PUNCT
fcis-14568	127	1	2.4	2.4	NUM
fcis-14568	127	2	.	.	PUNCT
fcis-14568	127	3	bilstm	bilstm	NOUN
fcis-14568	127	4	bidirectional	bidirectional	PROPN
fcis-14568	127	5	long	long	ADJ
fcis-14568	127	6	short	short	ADJ
fcis-14568	127	7	-	-	PUNCT
fcis-14568	127	8	term	term	NOUN
fcis-14568	127	9	memory	memory	NOUN
fcis-14568	127	10	network	network	NOUN
fcis-14568	127	11	is	be	AUX
fcis-14568	127	12	a	a	DET
fcis-14568	127	13	variant	variant	NOUN
fcis-14568	127	14	of	of	ADP
fcis-14568	127	15	recurrent	recurrent	ADJ
fcis-14568	127	16	neural	neural	ADJ
fcis-14568	127	17	network	network	NOUN
fcis-14568	127	18	,	,	PUNCT
fcis-14568	127	19	which	which	PRON
fcis-14568	127	20	is	be	AUX
fcis-14568	127	21	an	an	DET
fcis-14568	127	22	improvement	improvement	NOUN
fcis-14568	127	23	of	of	ADP
fcis-14568	127	24	lstm	lstm	NOUN
fcis-14568	127	25	,	,	PUNCT
fcis-14568	127	26	as	as	SCONJ
fcis-14568	127	27	shown	show	VERB
fcis-14568	127	28	in	in	ADP
fcis-14568	127	29	figure	figure	NOUN
fcis-14568	127	30	1	1	NUM
fcis-14568	127	31	.	.	PUNCT
fcis-14568	127	32	compared	compare	VERB
fcis-14568	127	33	with	with	ADP
fcis-14568	127	34	traditional	traditional	ADJ
fcis-14568	127	35	oneway	oneway	ADJ
fcis-14568	127	36	lstm	lstm	NOUN
fcis-14568	127	37	,	,	PUNCT
fcis-14568	127	38	bilstm	bilstm	NOUN
fcis-14568	127	39	has	have	VERB
fcis-14568	127	40	more	more	ADV
fcis-14568	127	41	obvious	obvious	ADJ
fcis-14568	127	42	advantages	advantage	NOUN
fcis-14568	127	43	.	.	PUNCT
fcis-14568	128	1	it	it	PRON
fcis-14568	128	2	consists	consist	VERB
fcis-14568	128	3	of	of	ADP
fcis-14568	128	4	forward	forward	ADV
fcis-14568	128	5	and	and	CCONJ
fcis-14568	128	6	reverse	reverse	VERB
fcis-14568	128	7	lstm	lstm	NOUN
fcis-14568	128	8	,	,	PUNCT
fcis-14568	128	9	which	which	PRON
fcis-14568	128	10	can	can	AUX
fcis-14568	128	11	share	share	VERB
fcis-14568	128	12	parameters	parameter	NOUN
fcis-14568	128	13	and	and	CCONJ
fcis-14568	128	14	reduce	reduce	VERB
fcis-14568	128	15	the	the	DET
fcis-14568	128	16	complexity	complexity	NOUN
fcis-14568	128	17	of	of	ADP
fcis-14568	128	18	the	the	DET
fcis-14568	128	19	model	model	NOUN
fcis-14568	128	20	and	and	CCONJ
fcis-14568	128	21	the	the	DET
fcis-14568	128	22	amount	amount	NOUN
fcis-14568	128	23	of	of	ADP
fcis-14568	128	24	calculation	calculation	NOUN
fcis-14568	128	25	during	during	ADP
fcis-14568	128	26	training	training	NOUN
fcis-14568	128	27	.	.	PUNCT
fcis-14568	129	1	the	the	DET
fcis-14568	129	2	bilstm	bilstm	NOUN
fcis-14568	129	3	structure	structure	NOUN
fcis-14568	129	4	can	can	AUX
fcis-14568	129	5	capture	capture	VERB
fcis-14568	129	6	richer	rich	ADJ
fcis-14568	129	7	contextual	contextual	ADJ
fcis-14568	129	8	information	information	NOUN
fcis-14568	129	9	by	by	ADP
fcis-14568	129	10	simultaneously	simultaneously	ADV
fcis-14568	129	11	propagating	propagate	VERB
fcis-14568	129	12	forward	forward	ADV
fcis-14568	129	13	and	and	CCONJ
fcis-14568	129	14	reverse	reverse	VERB
fcis-14568	129	15	information	information	NOUN
fcis-14568	129	16	in	in	ADP
fcis-14568	129	17	time	time	NOUN
fcis-14568	129	18	series	series	PROPN
fcis-14568	129	19	.	.	PUNCT
fcis-14568	130	1	forward	forward	PROPN
fcis-14568	130	2	lstm	lstm	PROPN
fcis-14568	130	3	can	can	AUX
fcis-14568	130	4	capture	capture	VERB
fcis-14568	130	5	information	information	NOUN
fcis-14568	130	6	before	before	ADP
fcis-14568	130	7	the	the	DET
fcis-14568	130	8	current	current	ADJ
fcis-14568	130	9	moment	moment	NOUN
fcis-14568	130	10	,	,	PUNCT
fcis-14568	130	11	while	while	SCONJ
fcis-14568	130	12	reverse	reverse	ADJ
fcis-14568	130	13	lstm	lstm	NOUN
fcis-14568	130	14	can	can	AUX
fcis-14568	130	15	capture	capture	VERB
fcis-14568	130	16	information	information	NOUN
fcis-14568	130	17	after	after	ADP
fcis-14568	130	18	the	the	DET
fcis-14568	130	19	current	current	ADJ
fcis-14568	130	20	moment	moment	NOUN
fcis-14568	130	21	.	.	PUNCT
fcis-14568	131	1	at	at	ADP
fcis-14568	131	2	the	the	DET
fcis-14568	131	3	same	same	ADJ
fcis-14568	131	4	time	time	NOUN
fcis-14568	131	5	,	,	PUNCT
fcis-14568	131	6	it	it	PRON
fcis-14568	131	7	can	can	AUX
fcis-14568	131	8	effectively	effectively	ADV
fcis-14568	131	9	handle	handle	VERB
fcis-14568	131	10	temporal	temporal	ADJ
fcis-14568	131	11	dependencies	dependency	NOUN
fcis-14568	131	12	in	in	ADP
fcis-14568	131	13	sequences	sequence	NOUN
fcis-14568	131	14	.	.	PUNCT
fcis-14568	132	1	by	by	ADP
fcis-14568	132	2	integrating	integrate	VERB
fcis-14568	132	3	forward	forward	ADV
fcis-14568	132	4	and	and	CCONJ
fcis-14568	132	5	reverse	reverse	ADJ
fcis-14568	132	6	information	information	NOUN
fcis-14568	132	7	,	,	PUNCT
fcis-14568	132	8	this	this	PRON
fcis-14568	132	9	helps	help	VERB
fcis-14568	132	10	to	to	PART
fcis-14568	132	11	improve	improve	VERB
fcis-14568	132	12	the	the	DET
fcis-14568	132	13	model	model	NOUN
fcis-14568	132	14	's	's	PART
fcis-14568	132	15	ability	ability	NOUN
fcis-14568	132	16	to	to	PART
fcis-14568	132	17	model	model	VERB
fcis-14568	132	18	long	long	ADJ
fcis-14568	132	19	-	-	PUNCT
fcis-14568	132	20	term	term	NOUN
fcis-14568	132	21	dependencies	dependency	NOUN
fcis-14568	132	22	in	in	ADP
fcis-14568	132	23	sequences	sequence	NOUN
fcis-14568	132	24	,	,	PUNCT
fcis-14568	132	25	which	which	PRON
fcis-14568	132	26	makes	make	VERB
fcis-14568	132	27	bilstm	bilstm	NOUN
fcis-14568	132	28	better	well	ADJ
fcis-14568	132	29	than	than	ADP
fcis-14568	132	30	other	other	ADJ
fcis-14568	132	31	sequence	sequence	NOUN
fcis-14568	132	32	models	model	NOUN
fcis-14568	132	33	.	.	PUNCT
fcis-14568	133	1	training	training	NOUN
fcis-14568	133	2	is	be	AUX
fcis-14568	133	3	more	more	ADV
fcis-14568	133	4	efficient	efficient	ADJ
fcis-14568	133	5	.	.	PUNCT
fcis-14568	134	1	to	to	PART
fcis-14568	134	2	sum	sum	VERB
fcis-14568	134	3	up	up	ADP
fcis-14568	134	4	,	,	PUNCT
fcis-14568	134	5	bilstm	bilstm	NOUN
fcis-14568	134	6	has	have	VERB
fcis-14568	134	7	many	many	ADJ
fcis-14568	134	8	advantages	advantage	NOUN
fcis-14568	134	9	in	in	ADP
fcis-14568	134	10	sequence	sequence	NOUN
fcis-14568	134	11	modeling	modeling	NOUN
fcis-14568	134	12	and	and	CCONJ
fcis-14568	134	13	time	time	NOUN
fcis-14568	134	14	series	series	PROPN
fcis-14568	134	15	data	datum	NOUN
fcis-14568	134	16	processing	processing	NOUN
fcis-14568	134	17	.	.	PUNCT
fcis-14568	135	1	it	it	PRON
fcis-14568	135	2	can	can	AUX
fcis-14568	135	3	make	make	VERB
fcis-14568	135	4	full	full	ADJ
fcis-14568	135	5	use	use	NOUN
fcis-14568	135	6	of	of	ADP
fcis-14568	135	7	the	the	DET
fcis-14568	135	8	contextual	contextual	ADJ
fcis-14568	135	9	information	information	NOUN
fcis-14568	135	10	of	of	ADP
fcis-14568	135	11	the	the	DET
fcis-14568	135	12	sequence	sequence	NOUN
fcis-14568	135	13	and	and	CCONJ
fcis-14568	135	14	improve	improve	VERB
fcis-14568	135	15	the	the	DET
fcis-14568	135	16	representation	representation	NOUN
fcis-14568	135	17	and	and	CCONJ
fcis-14568	135	18	prediction	prediction	NOUN
fcis-14568	135	19	capabilities	capability	NOUN
fcis-14568	135	20	of	of	ADP
fcis-14568	135	21	the	the	DET
fcis-14568	135	22	model	model	NOUN
fcis-14568	135	23	.	.	PUNCT
fcis-14568	136	1	this	this	PRON
fcis-14568	136	2	makes	make	VERB
fcis-14568	136	3	bilstm	bilstm	NOUN
fcis-14568	136	4	an	an	DET
fcis-14568	136	5	important	important	ADJ
fcis-14568	136	6	tool	tool	NOUN
fcis-14568	136	7	for	for	ADP
fcis-14568	136	8	tasks	task	NOUN
fcis-14568	136	9	such	such	ADJ
fcis-14568	136	10	as	as	ADP
fcis-14568	136	11	natural	natural	ADJ
fcis-14568	136	12	language	language	NOUN
fcis-14568	136	13	processing	processing	NOUN
fcis-14568	136	14	,	,	PUNCT
fcis-14568	136	15	audio	audio	NOUN
fcis-14568	136	16	processing	processing	NOUN
fcis-14568	136	17	,	,	PUNCT
fcis-14568	136	18	and	and	CCONJ
fcis-14568	136	19	time	time	NOUN
fcis-14568	136	20	series	series	PROPN
fcis-14568	136	21	prediction	prediction	NOUN
fcis-14568	136	22	classification	classification	NOUN
fcis-14568	136	23	.	.	PUNCT
fcis-14568	137	1	the	the	DET
fcis-14568	137	2	calculation	calculation	NOUN
fcis-14568	137	3	process	process	NOUN
fcis-14568	137	4	is	be	AUX
fcis-14568	137	5	as	as	SCONJ
fcis-14568	137	6	follows	follow	VERB
fcis-14568	137	7	:	:	PUNCT
fcis-14568	137	8	1	1	NUM
fcis-14568	137	9	1	1	NUM
fcis-14568	137	10	1	1	NUM
fcis-14568	137	11	1	1	NUM
fcis-14568	137	12	1	1	NUM
fcis-14568	137	13	1	1	NUM
fcis-14568	137	14	1	1	NUM
fcis-14568	137	15	(	(	PUNCT
fcis-14568	137	16	)	)	PUNCT
fcis-14568	137	17	(	(	PUNCT
fcis-14568	137	18	)	)	PUNCT
fcis-14568	137	19	tanh	tanh	NOUN
fcis-14568	137	20	(	(	PUNCT
fcis-14568	137	21	)	)	PUNCT
fcis-14568	137	22	(	(	PUNCT
fcis-14568	137	23	)	)	PUNCT
fcis-14568	137	24	tanh	tanh	NOUN
fcis-14568	137	25	(	(	PUNCT
fcis-14568	137	26	)	)	PUNCT
fcis-14568	138	1	t	t	NOUN
fcis-14568	138	2	xi	xi	INTJ
fcis-14568	138	3	t	t	PROPN
fcis-14568	139	1	hi	hi	INTJ
fcis-14568	139	2	t	t	PROPN
fcis-14568	139	3	ci	ci	PROPN
fcis-14568	140	1	t	t	PROPN
fcis-14568	141	1	i	i	PRON
fcis-14568	141	2	t	t	PROPN
fcis-14568	141	3	xf	xf	PROPN
fcis-14568	141	4	t	t	PROPN
fcis-14568	141	5	hf	hf	PROPN
fcis-14568	141	6	t	t	PROPN
fcis-14568	141	7	cf	cf	NOUN
fcis-14568	141	8	t	t	PROPN
fcis-14568	142	1	f	f	PROPN
fcis-14568	142	2	t	t	PROPN
fcis-14568	142	3	t	t	PROPN
fcis-14568	142	4	t	t	PROPN
fcis-14568	142	5	t	t	PROPN
fcis-14568	142	6	x	x	PROPN
fcis-14568	142	7	t	t	PROPN
fcis-14568	142	8	hc	hc	PROPN
fcis-14568	142	9	t	t	PROPN
fcis-14568	142	10	c	c	PROPN
fcis-14568	142	11	t	t	PROPN
fcis-14568	142	12	xo	xo	PROPN
fcis-14568	142	13	t	t	PROPN
fcis-14568	142	14	ho	ho	PROPN
fcis-14568	142	15	t	t	PROPN
fcis-14568	143	1	co	co	PROPN
fcis-14568	143	2	t	t	PROPN
fcis-14568	143	3	o	o	X
fcis-14568	143	4	t	t	NOUN
fcis-14568	143	5	t	t	PROPN
fcis-14568	143	6	t	t	NOUN
fcis-14568	143	7	i	i	PRON
fcis-14568	143	8	sigmoid	sigmoid	VERB
fcis-14568	143	9	w	w	PROPN
fcis-14568	143	10	x	x	PROPN
fcis-14568	143	11	w	w	PROPN
fcis-14568	143	12	h	h	NOUN
fcis-14568	143	13	w	w	PROPN
fcis-14568	143	14	c	c	PROPN
fcis-14568	143	15	b	b	PROPN
fcis-14568	143	16	f	f	X
fcis-14568	143	17	sigmoid	sigmoid	NOUN
fcis-14568	143	18	w	w	NOUN
fcis-14568	143	19	x	x	PROPN
fcis-14568	143	20	w	w	PROPN
fcis-14568	143	21	h	h	NOUN
fcis-14568	144	1	w	w	PROPN
fcis-14568	144	2	c	c	PROPN
fcis-14568	144	3	b	b	PROPN
fcis-14568	145	1	c	c	NOUN
fcis-14568	145	2	fc	fc	INTJ
fcis-14568	146	1	i	i	PRON
fcis-14568	146	2	w	w	PROPN
fcis-14568	146	3	cx	cx	PROPN
fcis-14568	146	4	w	w	PROPN
fcis-14568	146	5	h	h	PROPN
fcis-14568	147	1	b	b	PROPN
fcis-14568	147	2	o	o	X
fcis-14568	147	3	sigmoid	sigmoid	NOUN
fcis-14568	147	4	w	w	NOUN
fcis-14568	147	5	x	x	PROPN
fcis-14568	147	6	w	w	PROPN
fcis-14568	147	7	h	h	NOUN
fcis-14568	148	1	w	w	PROPN
fcis-14568	148	2	c	c	PROPN
fcis-14568	148	3	b	b	PROPN
fcis-14568	148	4	h	h	NOUN
fcis-14568	148	5	o	o	NOUN
fcis-14568	148	6	c	c	NOUN
fcis-14568	148	7			PROPN
fcis-14568	148	8			PROPN
fcis-14568	148	9			PROPN
fcis-14568	148	10			PROPN
fcis-14568	148	11			PROPN
fcis-14568	148	12			PROPN
fcis-14568	148	13			PROPN
fcis-14568	148	14			PRON
fcis-14568	148	15			ADV
fcis-14568	148	16			PUNCT
fcis-14568	148	17			PUNCT
fcis-14568	148	18			PROPN
fcis-14568	148	19			ADV
fcis-14568	148	20			PUNCT
fcis-14568	148	21			PROPN
fcis-14568	148	22			PROPN
fcis-14568	148	23			ADV
fcis-14568	148	24			PUNCT
fcis-14568	148	25			VERB
fcis-14568	148	26			PROPN
fcis-14568	148	27			ADV
fcis-14568	148	28			PUNCT
fcis-14568	148	29			X
fcis-14568	148	30			NOUN
fcis-14568	148	31	(	(	PUNCT
fcis-14568	148	32	12	12	NUM
fcis-14568	148	33	)	)	PUNCT
fcis-14568	148	34	in	in	ADP
fcis-14568	148	35	the	the	DET
fcis-14568	148	36	formula	formula	NOUN
fcis-14568	148	37	:	:	PUNCT
fcis-14568	148	38	ti	ti	X
fcis-14568	148	39	,	,	PUNCT
fcis-14568	148	40	tf	tf	INTJ
fcis-14568	148	41	,	,	PUNCT
fcis-14568	148	42	to	to	PART
fcis-14568	148	43	are	are	VERB
fcis-14568	148	44	the	the	DET
fcis-14568	148	45	input	input	NOUN
fcis-14568	148	46	gate	gate	NOUN
fcis-14568	148	47	,	,	PUNCT
fcis-14568	148	48	tc	tc	PROPN
fcis-14568	148	49	is	be	AUX
fcis-14568	148	50	forget	forget	VERB
fcis-14568	148	51	gate	gate	NOUN
fcis-14568	148	52	and	and	CCONJ
fcis-14568	148	53	th	th	PROPN
fcis-14568	148	54	is	be	AUX
fcis-14568	148	55	output	output	NOUN
fcis-14568	148	56	gate	gate	NOUN
fcis-14568	148	57	respectively	respectively	ADV
fcis-14568	148	58	;	;	PUNCT
fcis-14568	148	59	and	and	CCONJ
fcis-14568	148	60	are	be	AUX
fcis-14568	148	61	the	the	DET
fcis-14568	148	62	state	state	NOUN
fcis-14568	148	63	and	and	CCONJ
fcis-14568	148	64	output	output	NOUN
fcis-14568	148	65	of	of	ADP
fcis-14568	148	66	the	the	DET
fcis-14568	148	67	memory	memory	NOUN
fcis-14568	148	68	cell	cell	NOUN
fcis-14568	148	69	respectively	respectively	ADV
fcis-14568	148	70	;	;	PUNCT
fcis-14568	148	71	w	w	NOUN
fcis-14568	148	72	are	be	AUX
fcis-14568	148	73	the	the	DET
fcis-14568	148	74	weight	weight	NOUN
fcis-14568	148	75	matrix	matrix	NOUN
fcis-14568	148	76	;	;	PUNCT
fcis-14568	148	77	b	b	X
fcis-14568	148	78	are	be	AUX
fcis-14568	148	79	the	the	DET
fcis-14568	148	80	offsets	offset	NOUN
fcis-14568	148	81	.	.	PUNCT
fcis-14568	149	1	figure	figure	NOUN
fcis-14568	149	2	2	2	NUM
fcis-14568	149	3	.	.	PUNCT
fcis-14568	149	4	bilstm	bilstm	NOUN
fcis-14568	149	5	network	network	NOUN
fcis-14568	149	6	2.5	2.5	NUM
fcis-14568	149	7	.	.	PUNCT
fcis-14568	150	1	support	support	NOUN
fcis-14568	150	2	vector	vector	NOUN
fcis-14568	150	3	machine	machine	NOUN
fcis-14568	150	4	support	support	NOUN
fcis-14568	150	5	vector	vector	NOUN
fcis-14568	150	6	machine	machine	NOUN
fcis-14568	150	7	is	be	AUX
fcis-14568	150	8	a	a	DET
fcis-14568	150	9	commonly	commonly	ADV
fcis-14568	150	10	used	use	VERB
fcis-14568	150	11	machine	machine	NOUN
fcis-14568	150	12	learning	learning	NOUN
fcis-14568	150	13	algorithm	algorithm	NOUN
fcis-14568	150	14	.	.	PUNCT
fcis-14568	151	1	support	support	NOUN
fcis-14568	151	2	vector	vector	NOUN
fcis-14568	151	3	machine	machine	NOUN
fcis-14568	151	4	has	have	VERB
fcis-14568	151	5	the	the	DET
fcis-14568	151	6	advantages	advantage	NOUN
fcis-14568	151	7	of	of	ADP
fcis-14568	151	8	processing	process	VERB
fcis-14568	151	9	high	high	ADV
fcis-14568	151	10	-	-	PUNCT
fcis-14568	151	11	dimensional	dimensional	ADJ
fcis-14568	151	12	spatial	spatial	ADJ
fcis-14568	151	13	data	datum	NOUN
fcis-14568	151	14	,	,	PUNCT
fcis-14568	151	15	strong	strong	ADJ
fcis-14568	151	16	generalization	generalization	NOUN
fcis-14568	151	17	ability	ability	NOUN
fcis-14568	151	18	,	,	PUNCT
fcis-14568	151	19	avoiding	avoid	VERB
fcis-14568	151	20	over	over	ADV
fcis-14568	151	21	-	-	PUNCT
fcis-14568	151	22	fitting	fitting	ADJ
fcis-14568	151	23	,	,	PUNCT
fcis-14568	151	24	good	good	ADJ
fcis-14568	151	25	robustness	robustness	NOUN
fcis-14568	151	26	to	to	AUX
fcis-14568	151	27	noise	noise	NOUN
fcis-14568	151	28	,	,	PUNCT
fcis-14568	151	29	strong	strong	ADJ
fcis-14568	151	30	interpretability	interpretability	NOUN
fcis-14568	151	31	and	and	CCONJ
fcis-14568	151	32	flexibility	flexibility	NOUN
fcis-14568	151	33	.	.	PUNCT
fcis-14568	152	1	it	it	PRON
fcis-14568	152	2	is	be	AUX
fcis-14568	152	3	widely	widely	ADV
fcis-14568	152	4	used	use	VERB
fcis-14568	152	5	in	in	ADP
fcis-14568	152	6	both	both	CCONJ
fcis-14568	152	7	classification	classification	NOUN
fcis-14568	152	8	and	and	CCONJ
fcis-14568	152	9	regression	regression	NOUN
fcis-14568	152	10	problems	problem	NOUN
fcis-14568	152	11	.	.	PUNCT
fcis-14568	153	1	kernel	kernel	PROPN
fcis-14568	153	2	function	function	PROPN
fcis-14568	153	3	svm	svm	NOUN
fcis-14568	153	4	can	can	AUX
fcis-14568	153	5	achieve	achieve	VERB
fcis-14568	153	6	nonlinear	nonlinear	ADJ
fcis-14568	153	7	separability	separability	NOUN
fcis-14568	153	8	by	by	ADP
fcis-14568	153	9	using	use	VERB
fcis-14568	153	10	the	the	DET
fcis-14568	153	11	kernel	kernel	NOUN
fcis-14568	153	12	function	function	NOUN
fcis-14568	153	13	to	to	PART
fcis-14568	153	14	map	map	VERB
fcis-14568	153	15	samples	sample	NOUN
fcis-14568	153	16	from	from	ADP
fcis-14568	153	17	lowdimensional	lowdimensional	ADJ
fcis-14568	153	18	space	space	NOUN
fcis-14568	153	19	to	to	ADP
fcis-14568	153	20	high	high	ADJ
fcis-14568	153	21	-	-	PUNCT
fcis-14568	153	22	dimensional	dimensional	ADJ
fcis-14568	153	23	space	space	NOUN
fcis-14568	153	24	.	.	PUNCT
fcis-14568	154	1	by	by	ADP
fcis-14568	154	2	introducing	introduce	VERB
fcis-14568	154	3	the	the	DET
fcis-14568	154	4	kernel	kernel	PROPN
fcis-14568	154	5	function	function	NOUN
fcis-14568	154	6	,	,	PUNCT
fcis-14568	154	7	svm	svm	PROPN
fcis-14568	154	8	can	can	AUX
fcis-14568	154	9	handle	handle	VERB
fcis-14568	154	10	linearly	linearly	ADV
fcis-14568	154	11	inseparable	inseparable	ADJ
fcis-14568	154	12	data	datum	NOUN
fcis-14568	154	13	sets	set	NOUN
fcis-14568	154	14	and	and	CCONJ
fcis-14568	154	15	can	can	AUX
fcis-14568	154	16	learn	learn	VERB
fcis-14568	154	17	more	more	ADJ
fcis-14568	154	18	complex	complex	ADJ
fcis-14568	154	19	decision	decision	NOUN
fcis-14568	154	20	boundaries	boundary	NOUN
fcis-14568	154	21	.	.	PUNCT
fcis-14568	155	1	however	however	ADV
fcis-14568	155	2	,	,	PUNCT
fcis-14568	155	3	the	the	DET
fcis-14568	155	4	parameters	parameter	NOUN
fcis-14568	155	5	in	in	ADP
fcis-14568	155	6	the	the	DET
fcis-14568	155	7	kernel	kernel	PROPN
fcis-14568	155	8	support	support	NOUN
fcis-14568	155	9	vector	vector	NOUN
fcis-14568	155	10	machine	machine	NOUN
fcis-14568	155	11	(	(	PUNCT
fcis-14568	155	12	svm	svm	PROPN
fcis-14568	155	13	)	)	PUNCT
fcis-14568	155	14	have	have	VERB
fcis-14568	155	15	a	a	DET
fcis-14568	155	16	certain	certain	ADJ
fcis-14568	155	17	impact	impact	NOUN
fcis-14568	155	18	on	on	ADP
fcis-14568	155	19	its	its	PRON
fcis-14568	155	20	performance	performance	NOUN
fcis-14568	155	21	and	and	CCONJ
fcis-14568	155	22	results	result	NOUN
fcis-14568	155	23	.	.	PUNCT
fcis-14568	156	1	the	the	DET
fcis-14568	156	2	kernel	kernel	PROPN
fcis-14568	156	3	function	function	PROPN
fcis-14568	156	4	defines	define	VERB
fcis-14568	156	5	the	the	DET
fcis-14568	156	6	way	way	NOUN
fcis-14568	156	7	to	to	PART
fcis-14568	156	8	map	map	VERB
fcis-14568	156	9	samples	sample	NOUN
fcis-14568	156	10	from	from	ADP
fcis-14568	156	11	low	low	ADJ
fcis-14568	156	12	-	-	PUNCT
fcis-14568	156	13	dimensional	dimensional	ADJ
fcis-14568	156	14	space	space	NOUN
fcis-14568	156	15	to	to	ADP
fcis-14568	156	16	high	high	ADJ
fcis-14568	156	17	-	-	PUNCT
fcis-14568	156	18	dimensional	dimensional	ADJ
fcis-14568	156	19	space	space	NOUN
fcis-14568	156	20	.	.	PUNCT
fcis-14568	157	1	common	common	ADJ
fcis-14568	157	2	kernel	kernel	NOUN
fcis-14568	157	3	functions	function	NOUN
fcis-14568	157	4	include	include	VERB
fcis-14568	157	5	linear	linear	PROPN
fcis-14568	157	6	kernel	kernel	PROPN
fcis-14568	157	7	function	function	PROPN
fcis-14568	157	8	,	,	PUNCT
fcis-14568	157	9	polynomial	polynomial	ADJ
fcis-14568	157	10	kernel	kernel	PROPN
fcis-14568	157	11	function	function	PROPN
fcis-14568	157	12	,	,	PUNCT
fcis-14568	157	13	gaussian	gaussian	ADJ
fcis-14568	157	14	kernel	kernel	PROPN
fcis-14568	157	15	function	function	PROPN
fcis-14568	157	16	,	,	PUNCT
fcis-14568	157	17	etc	etc	X
fcis-14568	157	18	.	.	X
fcis-14568	158	1	different	different	ADJ
fcis-14568	158	2	kernel	kernel	NOUN
fcis-14568	158	3	functions	function	NOUN
fcis-14568	158	4	are	be	AUX
fcis-14568	158	5	suitable	suitable	ADJ
fcis-14568	158	6	for	for	ADP
fcis-14568	158	7	different	different	ADJ
fcis-14568	158	8	types	type	NOUN
fcis-14568	158	9	of	of	ADP
fcis-14568	158	10	data	datum	NOUN
fcis-14568	158	11	distributions	distribution	NOUN
fcis-14568	158	12	.	.	PUNCT
fcis-14568	159	1	kernel	kernel	PROPN
fcis-14568	159	2	function	function	PROPN
fcis-14568	159	3	parameter	parameter	NOUN
fcis-14568	159	4	values	value	NOUN
fcis-14568	159	5	will	will	AUX
fcis-14568	159	6	cause	cause	VERB
fcis-14568	159	7	the	the	DET
fcis-14568	159	8	decision	decision	NOUN
fcis-14568	159	9	boundary	boundary	ADJ
fcis-14568	159	10	to	to	PART
fcis-14568	159	11	be	be	AUX
fcis-14568	159	12	smoother	smooth	ADJ
fcis-14568	159	13	,	,	PUNCT
fcis-14568	159	14	which	which	PRON
fcis-14568	159	15	may	may	AUX
fcis-14568	159	16	cause	cause	VERB
fcis-14568	159	17	underfitting	underfitting	NOUN
fcis-14568	159	18	.	.	PUNCT
fcis-14568	160	1	choosing	choose	VERB
fcis-14568	160	2	appropriate	appropriate	ADJ
fcis-14568	160	3	parameter	parameter	NOUN
fcis-14568	160	4	values	value	NOUN
fcis-14568	160	5	can	can	AUX
fcis-14568	160	6	balance	balance	VERB
fcis-14568	160	7	the	the	DET
fcis-14568	160	8	fitting	fitting	ADJ
fcis-14568	160	9	ability	ability	NOUN
fcis-14568	160	10	and	and	CCONJ
fcis-14568	160	11	generalization	generalization	NOUN
fcis-14568	160	12	ability	ability	NOUN
fcis-14568	160	13	of	of	ADP
fcis-14568	160	14	the	the	DET
fcis-14568	160	15	model	model	NOUN
fcis-14568	160	16	.	.	PUNCT
fcis-14568	161	1	the	the	DET
fcis-14568	161	2	regularization	regularization	NOUN
fcis-14568	161	3	parameter	parameter	NOUN
fcis-14568	161	4	c	c	PROPN
fcis-14568	161	5	controls	control	VERB
fcis-14568	161	6	the	the	DET
fcis-14568	161	7	degree	degree	NOUN
fcis-14568	161	8	of	of	ADP
fcis-14568	161	9	punishment	punishment	NOUN
fcis-14568	161	10	for	for	ADP
fcis-14568	161	11	misclassified	misclassified	ADJ
fcis-14568	161	12	samples	sample	NOUN
fcis-14568	161	13	.	.	PUNCT
fcis-14568	162	1	a	a	DET
fcis-14568	162	2	larger	large	ADJ
fcis-14568	162	3	c	c	NOUN
fcis-14568	162	4	value	value	NOUN
fcis-14568	162	5	will	will	AUX
fcis-14568	162	6	lead	lead	VERB
fcis-14568	162	7	to	to	ADP
fcis-14568	162	8	a	a	DET
fcis-14568	162	9	reduced	reduced	ADJ
fcis-14568	162	10	tolerance	tolerance	NOUN
fcis-14568	162	11	of	of	ADP
fcis-14568	162	12	the	the	DET
fcis-14568	162	13	model	model	NOUN
fcis-14568	162	14	to	to	ADP
fcis-14568	162	15	misclassified	misclassifie	VERB
fcis-14568	162	16	samples	sample	NOUN
fcis-14568	162	17	,	,	PUNCT
fcis-14568	162	18	which	which	PRON
fcis-14568	162	19	may	may	AUX
fcis-14568	162	20	result	result	VERB
fcis-14568	162	21	in	in	ADP
fcis-14568	162	22	a	a	DET
fcis-14568	162	23	smaller	small	ADJ
fcis-14568	162	24	decision	decision	NOUN
fcis-14568	162	25	boundary	boundary	ADJ
fcis-14568	162	26	interval	interval	NOUN
fcis-14568	162	27	and	and	CCONJ
fcis-14568	162	28	make	make	VERB
fcis-14568	162	29	it	it	PRON
fcis-14568	162	30	easy	easy	ADJ
fcis-14568	162	31	to	to	PART
fcis-14568	162	32	overfit	overfit	VERB
fcis-14568	162	33	.	.	PUNCT
fcis-14568	163	1	a	a	DET
fcis-14568	163	2	smaller	small	ADJ
fcis-14568	163	3	c	c	NOUN
fcis-14568	163	4	value	value	NOUN
fcis-14568	163	5	will	will	AUX
fcis-14568	163	6	produce	produce	VERB
fcis-14568	163	7	a	a	DET
fcis-14568	163	8	larger	large	ADJ
fcis-14568	163	9	decision	decision	NOUN
fcis-14568	163	10	boundary	boundary	ADJ
fcis-14568	163	11	interval	interval	NOUN
fcis-14568	163	12	,	,	PUNCT
fcis-14568	163	13	which	which	PRON
fcis-14568	163	14	is	be	AUX
fcis-14568	163	15	prone	prone	ADJ
fcis-14568	163	16	to	to	ADP
fcis-14568	163	17	underfitting	underfitte	VERB
fcis-14568	163	18	.	.	PUNCT
fcis-14568	164	1	choosing	choose	VERB
fcis-14568	164	2	an	an	DET
fcis-14568	164	3	appropriate	appropriate	ADJ
fcis-14568	164	4	c	c	NOUN
fcis-14568	164	5	value	value	NOUN
fcis-14568	164	6	can	can	AUX
fcis-14568	164	7	balance	balance	VERB
fcis-14568	164	8	the	the	DET
fcis-14568	164	9	0	0	NUM
fcis-14568	164	10	0.2	0.2	NUM
fcis-14568	164	11	0.4	0.4	NUM
fcis-14568	164	12	0.6	0.6	NUM
fcis-14568	164	13	0.8	0.8	NUM
fcis-14568	164	14	1	1	NUM
fcis-14568	164	15	boundary	boundary	ADJ
fcis-14568	164	16	range	range	NOUN
fcis-14568	164	17	0	0	NUM
fcis-14568	165	1	0.2	0.2	NUM
fcis-14568	165	2	0.4	0.4	NUM
fcis-14568	165	3	0.6	0.6	NUM
fcis-14568	165	4	0.8	0.8	NUM
fcis-14568	165	5	1	1	NUM
fcis-14568	165	6	b	b	NOUN
fcis-14568	165	7	o	o	X
fcis-14568	165	8	u	u	NOUN
fcis-14568	165	9	nd	nd	ADV
fcis-14568	165	10	a	a	DET
fcis-14568	165	11	r	r	NOUN
fcis-14568	165	12	y	y	NOUN
fcis-14568	165	13	r	r	NOUN
fcis-14568	165	14	a	a	PRON
fcis-14568	165	15	n	n	X
fcis-14568	165	16	ge	ge	PROPN
fcis-14568	165	17	25	25	NUM
fcis-14568	165	18	tolerance	tolerance	NOUN
fcis-14568	165	19	and	and	CCONJ
fcis-14568	165	20	generalization	generalization	NOUN
fcis-14568	165	21	ability	ability	NOUN
fcis-14568	165	22	of	of	ADP
fcis-14568	165	23	the	the	DET
fcis-14568	165	24	model	model	NOUN
fcis-14568	165	25	.	.	PUNCT
fcis-14568	166	1	3	3	X
fcis-14568	166	2	.	.	X
fcis-14568	166	3	establishment	establishment	NOUN
fcis-14568	166	4	of	of	ADP
fcis-14568	166	5	cnn	cnn	PROPN
fcis-14568	166	6	bilstm	bilstm	NOUN
fcis-14568	166	7	svm	svm	PROPN
fcis-14568	166	8	model	model	NOUN
fcis-14568	166	9	based	base	VERB
fcis-14568	166	10	on	on	ADP
fcis-14568	166	11	improved	improved	ADJ
fcis-14568	166	12	hybrid	hybrid	ADJ
fcis-14568	166	13	leader	leader	NOUN
fcis-14568	166	14	optimization	optimization	NOUN
fcis-14568	166	15	algorithm	algorithm	PROPN
fcis-14568	166	16	3.1	3.1	NUM
fcis-14568	166	17	.	.	PUNCT
fcis-14568	166	18	data	datum	NOUN
fcis-14568	166	19	source	source	NOUN
fcis-14568	166	20	and	and	CCONJ
fcis-14568	166	21	processing	processing	NOUN
fcis-14568	166	22	in	in	ADP
fcis-14568	166	23	this	this	DET
fcis-14568	166	24	article	article	NOUN
fcis-14568	166	25	,	,	PUNCT
fcis-14568	166	26	there	there	PRON
fcis-14568	166	27	are	be	VERB
fcis-14568	166	28	a	a	DET
fcis-14568	166	29	total	total	NOUN
fcis-14568	166	30	of	of	ADP
fcis-14568	166	31	1920	1920	NUM
fcis-14568	166	32	pieces	piece	NOUN
fcis-14568	166	33	of	of	ADP
fcis-14568	166	34	data	datum	NOUN
fcis-14568	166	35	in	in	ADP
fcis-14568	166	36	the	the	DET
fcis-14568	166	37	dataset	dataset	NOUN
fcis-14568	166	38	,	,	PUNCT
fcis-14568	166	39	all	all	PRON
fcis-14568	166	40	of	of	ADP
fcis-14568	166	41	which	which	PRON
fcis-14568	166	42	have	have	AUX
fcis-14568	166	43	been	be	AUX
fcis-14568	166	44	validated	validate	VERB
fcis-14568	166	45	through	through	ADP
fcis-14568	166	46	core	core	NOUN
fcis-14568	166	47	sampling	sampling	NOUN
fcis-14568	166	48	and	and	CCONJ
fcis-14568	166	49	divided	divide	VERB
fcis-14568	166	50	into	into	ADP
fcis-14568	166	51	training	training	NOUN
fcis-14568	166	52	and	and	CCONJ
fcis-14568	166	53	testing	testing	NOUN
fcis-14568	166	54	sets	set	NOUN
fcis-14568	166	55	in	in	ADP
fcis-14568	166	56	an	an	DET
fcis-14568	166	57	8:2	8:2	NUM
fcis-14568	166	58	ratio	ratio	NOUN
fcis-14568	166	59	.	.	PUNCT
fcis-14568	167	1	according	accord	VERB
fcis-14568	167	2	to	to	ADP
fcis-14568	167	3	engineering	engineering	NOUN
fcis-14568	167	4	practice	practice	NOUN
fcis-14568	167	5	,	,	PUNCT
fcis-14568	167	6	the	the	DET
fcis-14568	167	7	detection	detection	NOUN
fcis-14568	167	8	results	result	NOUN
fcis-14568	167	9	are	be	AUX
fcis-14568	167	10	divided	divide	VERB
fcis-14568	167	11	into	into	ADP
fcis-14568	167	12	mild	mild	ADJ
fcis-14568	167	13	cold	cold	ADJ
fcis-14568	167	14	jointss	jointss	NOUN
fcis-14568	167	15	,	,	PUNCT
fcis-14568	167	16	non	non	X
fcis-14568	167	17	cold	cold	ADJ
fcis-14568	167	18	jointss	jointss	NOUN
fcis-14568	167	19	,	,	PUNCT
fcis-14568	167	20	and	and	CCONJ
fcis-14568	167	21	cold	cold	ADJ
fcis-14568	167	22	jointss	jointss	NOUN
fcis-14568	167	23	,	,	PUNCT
fcis-14568	167	24	corresponding	correspond	VERB
fcis-14568	167	25	to	to	ADP
fcis-14568	167	26	labels	label	NOUN
fcis-14568	167	27	1	1	NUM
fcis-14568	167	28	,	,	PUNCT
fcis-14568	167	29	2	2	NUM
fcis-14568	167	30	,	,	PUNCT
fcis-14568	167	31	and	and	CCONJ
fcis-14568	167	32	3	3	X
fcis-14568	167	33	.	.	PUNCT
fcis-14568	168	1	the	the	DET
fcis-14568	168	2	data	datum	NOUN
fcis-14568	168	3	is	be	AUX
fcis-14568	168	4	collected	collect	VERB
fcis-14568	168	5	based	base	VERB
fcis-14568	168	6	on	on	ADP
fcis-14568	168	7	rayleigh	rayleigh	PROPN
fcis-14568	168	8	waves	wave	NOUN
fcis-14568	168	9	,	,	PUNCT
fcis-14568	168	10	and	and	CCONJ
fcis-14568	168	11	the	the	DET
fcis-14568	168	12	sampling	sample	VERB
fcis-14568	168	13	points	point	NOUN
fcis-14568	168	14	are	be	AUX
fcis-14568	168	15	set	set	VERB
fcis-14568	168	16	to	to	ADP
fcis-14568	168	17	512	512	NUM
fcis-14568	168	18	.	.	PUNCT
fcis-14568	169	1	the	the	DET
fcis-14568	169	2	detection	detection	NOUN
fcis-14568	169	3	data	datum	NOUN
fcis-14568	169	4	is	be	AUX
fcis-14568	169	5	shown	show	VERB
fcis-14568	169	6	in	in	ADP
fcis-14568	169	7	table	table	NOUN
fcis-14568	169	8	1	1	NUM
fcis-14568	169	9	.	.	PUNCT
fcis-14568	170	1	in	in	ADP
fcis-14568	170	2	order	order	NOUN
fcis-14568	170	3	to	to	PART
fcis-14568	170	4	accelerate	accelerate	VERB
fcis-14568	170	5	the	the	DET
fcis-14568	170	6	convergence	convergence	NOUN
fcis-14568	170	7	of	of	ADP
fcis-14568	170	8	the	the	DET
fcis-14568	170	9	network	network	NOUN
fcis-14568	170	10	loss	loss	NOUN
fcis-14568	170	11	function	function	NOUN
fcis-14568	170	12	and	and	CCONJ
fcis-14568	170	13	improve	improve	VERB
fcis-14568	170	14	the	the	DET
fcis-14568	170	15	model	model	NOUN
fcis-14568	170	16	training	training	NOUN
fcis-14568	170	17	speed	speed	NOUN
fcis-14568	170	18	,	,	PUNCT
fcis-14568	170	19	the	the	DET
fcis-14568	170	20	data	data	NOUN
fcis-14568	170	21	is	be	AUX
fcis-14568	170	22	normalized	normalize	VERB
fcis-14568	170	23	.	.	PUNCT
fcis-14568	171	1	the	the	DET
fcis-14568	171	2	normalization	normalization	NOUN
fcis-14568	171	3	formula	formula	NOUN
fcis-14568	171	4	is	be	AUX
fcis-14568	171	5	:	:	PUNCT
fcis-14568	171	6	min	min	PROPN
fcis-14568	171	7	0	0	PROPN
fcis-14568	171	8	max	max	PROPN
fcis-14568	171	9	x	x	PUNCT
fcis-14568	172	1	x	x	PUNCT
fcis-14568	172	2	x	x	PUNCT
fcis-14568	172	3	x	x	PUNCT
fcis-14568	172	4	x	x	SYM
fcis-14568	172	5			PROPN
fcis-14568	172	6			NUM
fcis-14568	172	7			NOUN
fcis-14568	172	8	(	(	PUNCT
fcis-14568	172	9	13	13	NUM
fcis-14568	172	10	)	)	PUNCT
fcis-14568	172	11	in	in	ADP
fcis-14568	172	12	the	the	DET
fcis-14568	172	13	formula	formula	NOUN
fcis-14568	172	14	:	:	PUNCT
fcis-14568	172	15	x	x	NOUN
fcis-14568	172	16	refers	refer	VERB
fcis-14568	172	17	to	to	ADP
fcis-14568	172	18	the	the	DET
fcis-14568	172	19	sample	sample	NOUN
fcis-14568	172	20	data	datum	NOUN
fcis-14568	172	21	before	before	ADP
fcis-14568	172	22	normalization	normalization	NOUN
fcis-14568	172	23	;	;	PUNCT
fcis-14568	172	24	0x	0x	NOUN
fcis-14568	172	25	is	be	AUX
fcis-14568	172	26	the	the	DET
fcis-14568	172	27	normalized	normalize	VERB
fcis-14568	172	28	value	value	NOUN
fcis-14568	172	29	;	;	PUNCT
fcis-14568	172	30	maxx	maxx	PROPN
fcis-14568	172	31	is	be	AUX
fcis-14568	172	32	the	the	DET
fcis-14568	172	33	maximum	maximum	ADJ
fcis-14568	172	34	and	and	CCONJ
fcis-14568	172	35	minx	minx	NOUN
fcis-14568	172	36	is	be	AUX
fcis-14568	172	37	minimum	minimum	ADJ
fcis-14568	172	38	values	value	NOUN
fcis-14568	172	39	in	in	ADP
fcis-14568	172	40	the	the	DET
fcis-14568	172	41	sample	sample	NOUN
fcis-14568	172	42	data	datum	NOUN
fcis-14568	172	43	before	before	ADP
fcis-14568	172	44	normalization	normalization	NOUN
fcis-14568	172	45	.	.	PUNCT
fcis-14568	173	1	table	table	NOUN
fcis-14568	173	2	1	1	NUM
fcis-14568	173	3	.	.	PUNCT
fcis-14568	174	1	cold	cold	ADJ
fcis-14568	174	2	joints	joint	NOUN
fcis-14568	174	3	detection	detection	NOUN
fcis-14568	174	4	data	datum	NOUN
fcis-14568	174	5	type	type	NOUN
fcis-14568	174	6	label	label	NOUN
fcis-14568	174	7	sampling	sampling	NOUN
fcis-14568	174	8	point	point	NOUN
fcis-14568	174	9	1	1	NUM
fcis-14568	174	10	(	(	PUNCT
fcis-14568	174	11	cm	cm	NOUN
fcis-14568	174	12	)	)	PUNCT
fcis-14568	174	13	…	…	PUNCT
fcis-14568	174	14	…	…	PUNCT
fcis-14568	174	15	sampling	sample	VERB
fcis-14568	174	16	point	point	NOUN
fcis-14568	174	17	512	512	NUM
fcis-14568	174	18	(	(	PUNCT
fcis-14568	174	19	cm	cm	NOUN
fcis-14568	174	20	)	)	PUNCT
fcis-14568	174	21	slight	slight	ADJ
fcis-14568	174	22	cold	cold	ADJ
fcis-14568	174	23	joint	joint	NOUN
fcis-14568	174	24	1	1	NUM
fcis-14568	174	25	23.6	23.6	NUM
fcis-14568	174	26	…	…	PUNCT
fcis-14568	174	27	…	…	PUNCT
fcis-14568	174	28	0.9	0.9	NUM
fcis-14568	174	29	non	non	ADJ
fcis-14568	174	30	cold	cold	ADJ
fcis-14568	174	31	joint	joint	ADJ
fcis-14568	174	32	2	2	NUM
fcis-14568	174	33	0.7	0.7	NUM
fcis-14568	174	34	…	…	SYM
fcis-14568	174	35	…	…	SYM
fcis-14568	174	36	3.5	3.5	NUM
fcis-14568	174	37	cold	cold	ADJ
fcis-14568	174	38	joint	joint	ADJ
fcis-14568	174	39	3	3	NUM
fcis-14568	174	40	1.1	1.1	NUM
fcis-14568	174	41	…	…	PUNCT
fcis-14568	174	42	…	…	PUNCT
fcis-14568	174	43	4.9	4.9	NUM
fcis-14568	174	44	3.2	3.2	NUM
fcis-14568	174	45	.	.	PUNCT
fcis-14568	175	1	acknowledgment	acknowledgment	NOUN
fcis-14568	175	2	first	first	ADV
fcis-14568	175	3	,	,	PUNCT
fcis-14568	175	4	the	the	DET
fcis-14568	175	5	detected	detect	VERB
fcis-14568	175	6	data	data	NOUN
fcis-14568	175	7	is	be	AUX
fcis-14568	175	8	normalized	normalize	VERB
fcis-14568	175	9	and	and	CCONJ
fcis-14568	175	10	input	input	VERB
fcis-14568	175	11	into	into	ADP
fcis-14568	175	12	the	the	DET
fcis-14568	175	13	cnn	cnn	PROPN
fcis-14568	175	14	.	.	PUNCT
fcis-14568	176	1	then	then	ADV
fcis-14568	176	2	the	the	DET
fcis-14568	176	3	model	model	NOUN
fcis-14568	176	4	starts	start	VERB
fcis-14568	176	5	data	datum	NOUN
fcis-14568	176	6	training	training	NOUN
fcis-14568	176	7	and	and	CCONJ
fcis-14568	176	8	learning	learning	NOUN
fcis-14568	176	9	.	.	PUNCT
fcis-14568	177	1	the	the	DET
fcis-14568	177	2	parameters	parameter	NOUN
fcis-14568	177	3	of	of	ADP
fcis-14568	177	4	the	the	DET
fcis-14568	177	5	model	model	NOUN
fcis-14568	177	6	are	be	AUX
fcis-14568	177	7	set	set	VERB
fcis-14568	177	8	as	as	SCONJ
fcis-14568	177	9	follows	follow	VERB
fcis-14568	177	10	:	:	PUNCT
fcis-14568	177	11	first	first	ADV
fcis-14568	177	12	,	,	PUNCT
fcis-14568	177	13	the	the	DET
fcis-14568	177	14	modulus	modulus	ADJ
fcis-14568	177	15	format	format	NOUN
fcis-14568	177	16	of	of	ADP
fcis-14568	177	17	the	the	DET
fcis-14568	177	18	data	data	NOUN
fcis-14568	177	19	is	be	AUX
fcis-14568	177	20	[	[	X
fcis-14568	177	21	512,1,1	512,1,1	NUM
fcis-14568	177	22	]	]	PUNCT
fcis-14568	177	23	,	,	PUNCT
fcis-14568	177	24	and	and	CCONJ
fcis-14568	177	25	enters	enter	VERB
fcis-14568	177	26	the	the	DET
fcis-14568	177	27	sequenceinputlayer	sequenceinputlayer	NOUN
fcis-14568	177	28	layer	layer	NOUN
fcis-14568	177	29	.	.	PUNCT
fcis-14568	178	1	here	here	ADV
fcis-14568	178	2	,	,	PUNCT
fcis-14568	178	3	the	the	DET
fcis-14568	178	4	sequence	sequence	NOUN
fcis-14568	178	5	is	be	AUX
fcis-14568	178	6	not	not	PART
fcis-14568	178	7	divided	divide	VERB
fcis-14568	178	8	into	into	ADP
fcis-14568	178	9	blocks	block	NOUN
fcis-14568	178	10	by	by	ADP
fcis-14568	178	11	default	default	NOUN
fcis-14568	178	12	and	and	CCONJ
fcis-14568	178	13	the	the	DET
fcis-14568	178	14	output	output	NOUN
fcis-14568	178	15	form	form	NOUN
fcis-14568	178	16	is	be	AUX
fcis-14568	178	17	[	[	X
fcis-14568	178	18	512,1,1,1	512,1,1,1	NUM
fcis-14568	178	19	]	]	PUNCT
fcis-14568	178	20	.	.	PUNCT
fcis-14568	179	1	the	the	DET
fcis-14568	179	2	model	model	NOUN
fcis-14568	179	3	here	here	ADV
fcis-14568	179	4	is	be	AUX
fcis-14568	179	5	divided	divide	VERB
fcis-14568	179	6	into	into	ADP
fcis-14568	179	7	two	two	NUM
fcis-14568	179	8	parts	part	NOUN
fcis-14568	179	9	.	.	PUNCT
fcis-14568	180	1	the	the	DET
fcis-14568	180	2	first	first	ADJ
fcis-14568	180	3	part	part	NOUN
fcis-14568	180	4	enters	enter	VERB
fcis-14568	180	5	the	the	DET
fcis-14568	180	6	convolution	convolution	NOUN
fcis-14568	180	7	operation	operation	NOUN
fcis-14568	180	8	,	,	PUNCT
fcis-14568	180	9	sets	set	VERB
fcis-14568	180	10	the	the	DET
fcis-14568	180	11	number	number	NOUN
fcis-14568	180	12	of	of	ADP
fcis-14568	180	13	convolution	convolution	NOUN
fcis-14568	180	14	kernels	kernel	NOUN
fcis-14568	180	15	to	to	ADP
fcis-14568	180	16	16	16	NUM
fcis-14568	180	17	,	,	PUNCT
fcis-14568	180	18	and	and	CCONJ
fcis-14568	180	19	the	the	DET
fcis-14568	180	20	convolution	convolution	NOUN
fcis-14568	180	21	kernel	kernel	PROPN
fcis-14568	180	22	size	size	NOUN
fcis-14568	180	23	is	be	AUX
fcis-14568	180	24	[	[	X
fcis-14568	180	25	3,1	3,1	NUM
fcis-14568	180	26	]	]	PUNCT
fcis-14568	180	27	,	,	PUNCT
fcis-14568	180	28	the	the	DET
fcis-14568	180	29	output	output	NOUN
fcis-14568	180	30	form	form	NOUN
fcis-14568	180	31	of	of	ADP
fcis-14568	180	32	the	the	DET
fcis-14568	180	33	model	model	NOUN
fcis-14568	180	34	after	after	ADP
fcis-14568	180	35	entering	enter	VERB
fcis-14568	180	36	the	the	DET
fcis-14568	180	37	batch	batch	NOUN
fcis-14568	180	38	normalization	normalization	NOUN
fcis-14568	180	39	layer	layer	NOUN
fcis-14568	180	40	is	be	AUX
fcis-14568	180	41	[	[	X
fcis-14568	180	42	512,1,16,1	512,1,16,1	NUM
fcis-14568	180	43	]	]	X
fcis-14568	180	44	,	,	PUNCT
fcis-14568	180	45	the	the	DET
fcis-14568	180	46	model	model	NOUN
fcis-14568	180	47	performs	perform	VERB
fcis-14568	180	48	secondary	secondary	ADJ
fcis-14568	180	49	convolution	convolution	NOUN
fcis-14568	180	50	,	,	PUNCT
fcis-14568	180	51	sets	set	VERB
fcis-14568	180	52	the	the	DET
fcis-14568	180	53	number	number	NOUN
fcis-14568	180	54	of	of	ADP
fcis-14568	180	55	convolution	convolution	NOUN
fcis-14568	180	56	kernels	kernel	NOUN
fcis-14568	180	57	to	to	ADP
fcis-14568	180	58	32	32	NUM
fcis-14568	180	59	,	,	PUNCT
fcis-14568	180	60	and	and	CCONJ
fcis-14568	180	61	the	the	DET
fcis-14568	180	62	convolution	convolution	NOUN
fcis-14568	180	63	kernel	kernel	PROPN
fcis-14568	180	64	size	size	NOUN
fcis-14568	180	65	is	be	AUX
fcis-14568	180	66	[	[	X
fcis-14568	180	67	3,1	3,1	NUM
fcis-14568	180	68	]	]	PUNCT
fcis-14568	180	69	,	,	PUNCT
fcis-14568	180	70	the	the	DET
fcis-14568	180	71	output	output	NOUN
fcis-14568	180	72	form	form	NOUN
fcis-14568	180	73	of	of	ADP
fcis-14568	180	74	the	the	DET
fcis-14568	180	75	model	model	NOUN
fcis-14568	180	76	after	after	ADP
fcis-14568	180	77	entering	enter	VERB
fcis-14568	180	78	the	the	DET
fcis-14568	180	79	batch	batch	NOUN
fcis-14568	180	80	normalization	normalization	NOUN
fcis-14568	180	81	layer	layer	NOUN
fcis-14568	180	82	is	be	AUX
fcis-14568	180	83	[	[	X
fcis-14568	180	84	512,1,32,1	512,1,32,1	NUM
fcis-14568	180	85	]	]	X
fcis-14568	180	86	,	,	PUNCT
fcis-14568	180	87	the	the	DET
fcis-14568	180	88	second	second	ADJ
fcis-14568	180	89	part	part	NOUN
fcis-14568	180	90	is	be	AUX
fcis-14568	180	91	directly	directly	ADV
fcis-14568	180	92	connected	connect	VERB
fcis-14568	180	93	to	to	ADP
fcis-14568	180	94	the	the	DET
fcis-14568	180	95	sequenceunfoldinglayer	sequenceunfoldinglayer	NOUN
fcis-14568	180	96	layer	layer	NOUN
fcis-14568	180	97	,	,	PUNCT
fcis-14568	180	98	and	and	CCONJ
fcis-14568	180	99	the	the	DET
fcis-14568	180	100	final	final	ADJ
fcis-14568	180	101	model	model	NOUN
fcis-14568	180	102	form	form	NOUN
fcis-14568	180	103	after	after	ADP
fcis-14568	180	104	splicing	splicing	NOUN
fcis-14568	180	105	and	and	CCONJ
fcis-14568	180	106	flattening	flattening	NOUN
fcis-14568	180	107	is	be	AUX
fcis-14568	180	108	[	[	X
fcis-14568	180	109	16384	16384	NUM
fcis-14568	180	110	,	,	PUNCT
fcis-14568	180	111	1,1	1,1	NUM
fcis-14568	180	112	]	]	PUNCT
fcis-14568	180	113	,	,	PUNCT
fcis-14568	180	114	and	and	CCONJ
fcis-14568	180	115	then	then	ADV
fcis-14568	180	116	after	after	ADP
fcis-14568	180	117	bilstm	bilstm	NOUN
fcis-14568	180	118	layer	layer	NOUN
fcis-14568	180	119	processing	processing	NOUN
fcis-14568	180	120	,	,	PUNCT
fcis-14568	180	121	the	the	DET
fcis-14568	180	122	model	model	NOUN
fcis-14568	180	123	form	form	NOUN
fcis-14568	180	124	becomes	become	VERB
fcis-14568	180	125	[	[	X
fcis-14568	180	126	10,1	10,1	NUM
fcis-14568	180	127	]	]	X
fcis-14568	180	128	.	.	PUNCT
fcis-14568	181	1	after	after	ADP
fcis-14568	181	2	continuing	continue	VERB
fcis-14568	181	3	with	with	ADP
fcis-14568	181	4	batch	batch	NOUN
fcis-14568	181	5	normalization	normalization	NOUN
fcis-14568	181	6	processing	processing	NOUN
fcis-14568	181	7	and	and	CCONJ
fcis-14568	181	8	fully	fully	ADV
fcis-14568	181	9	connected	connected	ADJ
fcis-14568	181	10	layer	layer	NOUN
fcis-14568	181	11	processing	processing	NOUN
fcis-14568	181	12	,	,	PUNCT
fcis-14568	181	13	the	the	DET
fcis-14568	181	14	model	model	NOUN
fcis-14568	181	15	form	form	NOUN
fcis-14568	181	16	is	be	AUX
fcis-14568	181	17	[	[	X
fcis-14568	181	18	3,1	3,1	NUM
fcis-14568	181	19	]	]	PUNCT
fcis-14568	181	20	,	,	PUNCT
fcis-14568	181	21	which	which	PRON
fcis-14568	181	22	we	we	PRON
fcis-14568	181	23	use	use	VERB
fcis-14568	181	24	svm	svm	NOUN
fcis-14568	181	25	to	to	PART
fcis-14568	181	26	replace	replace	VERB
fcis-14568	181	27	softmax	softmax	NOUN
fcis-14568	181	28	layer	layer	NOUN
fcis-14568	181	29	,	,	PUNCT
fcis-14568	181	30	and	and	CCONJ
fcis-14568	181	31	finally	finally	ADV
fcis-14568	181	32	use	use	VERB
fcis-14568	181	33	the	the	DET
fcis-14568	181	34	improved	improve	VERB
fcis-14568	181	35	hybrid	hybrid	NOUN
fcis-14568	181	36	leader	leader	NOUN
fcis-14568	181	37	algorithm	algorithm	NOUN
fcis-14568	181	38	combined	combine	VERB
fcis-14568	181	39	with	with	ADP
fcis-14568	181	40	cross	cross	NOUN
fcis-14568	181	41	-	-	ADJ
fcis-14568	181	42	validation	validation	NOUN
fcis-14568	181	43	to	to	PART
fcis-14568	181	44	optimize	optimize	VERB
fcis-14568	181	45	the	the	DET
fcis-14568	181	46	svm	svm	ADJ
fcis-14568	181	47	parameters	parameter	NOUN
fcis-14568	181	48	,	,	PUNCT
fcis-14568	181	49	thus	thus	ADV
fcis-14568	181	50	completing	complete	VERB
fcis-14568	181	51	the	the	DET
fcis-14568	181	52	entire	entire	ADJ
fcis-14568	181	53	model	model	NOUN
fcis-14568	181	54	learning	learning	NOUN
fcis-14568	181	55	and	and	CCONJ
fcis-14568	181	56	training	training	NOUN
fcis-14568	181	57	.	.	PUNCT
fcis-14568	182	1	the	the	DET
fcis-14568	182	2	model	model	NOUN
fcis-14568	182	3	result	result	NOUN
fcis-14568	182	4	diagram	diagram	NOUN
fcis-14568	182	5	is	be	AUX
fcis-14568	182	6	shown	show	VERB
fcis-14568	182	7	in	in	ADP
fcis-14568	182	8	the	the	DET
fcis-14568	182	9	figure	figure	NOUN
fcis-14568	182	10	3	3	X
fcis-14568	182	11	.	.	PUNCT
fcis-14568	183	1	in	in	ADP
fcis-14568	183	2	the	the	DET
fcis-14568	183	3	figure	figure	NOUN
fcis-14568	183	4	,	,	PUNCT
fcis-14568	183	5	seqfold	seqfold	VERB
fcis-14568	183	6	is	be	AUX
fcis-14568	183	7	the	the	DET
fcis-14568	183	8	sequenceinputlayer	sequenceinputlayer	NOUN
fcis-14568	183	9	layer	layer	NOUN
fcis-14568	183	10	in	in	ADP
fcis-14568	183	11	matlab	matlab	PROPN
fcis-14568	183	12	,	,	PUNCT
fcis-14568	183	13	which	which	PRON
fcis-14568	183	14	is	be	AUX
fcis-14568	183	15	used	use	VERB
fcis-14568	183	16	to	to	PART
fcis-14568	183	17	receive	receive	VERB
fcis-14568	183	18	sequence	sequence	NOUN
fcis-14568	183	19	data	datum	NOUN
fcis-14568	183	20	as	as	ADP
fcis-14568	183	21	the	the	DET
fcis-14568	183	22	input	input	NOUN
fcis-14568	183	23	of	of	ADP
fcis-14568	183	24	the	the	DET
fcis-14568	183	25	model	model	NOUN
fcis-14568	183	26	.	.	PUNCT
fcis-14568	184	1	the	the	DET
fcis-14568	184	2	main	main	ADJ
fcis-14568	184	3	function	function	NOUN
fcis-14568	184	4	of	of	ADP
fcis-14568	184	5	the	the	DET
fcis-14568	184	6	sequence	sequence	NOUN
fcis-14568	184	7	input	input	NOUN
fcis-14568	184	8	layer	layer	NOUN
fcis-14568	184	9	is	be	AUX
fcis-14568	184	10	to	to	PART
fcis-14568	184	11	define	define	VERB
fcis-14568	184	12	the	the	DET
fcis-14568	184	13	format	format	NOUN
fcis-14568	184	14	and	and	CCONJ
fcis-14568	184	15	shape	shape	NOUN
fcis-14568	184	16	of	of	ADP
fcis-14568	184	17	the	the	DET
fcis-14568	184	18	input	input	NOUN
fcis-14568	184	19	data	datum	NOUN
fcis-14568	184	20	and	and	CCONJ
fcis-14568	184	21	pass	pass	VERB
fcis-14568	184	22	the	the	DET
fcis-14568	184	23	sequence	sequence	NOUN
fcis-14568	184	24	data	datum	NOUN
fcis-14568	184	25	to	to	ADP
fcis-14568	184	26	the	the	DET
fcis-14568	184	27	next	next	ADJ
fcis-14568	184	28	layer	layer	NOUN
fcis-14568	184	29	of	of	ADP
fcis-14568	184	30	the	the	DET
fcis-14568	184	31	network	network	NOUN
fcis-14568	184	32	for	for	ADP
fcis-14568	184	33	processing	processing	NOUN
fcis-14568	184	34	.	.	PUNCT
fcis-14568	185	1	it	it	PRON
fcis-14568	185	2	is	be	AUX
fcis-14568	185	3	usually	usually	ADV
fcis-14568	185	4	the	the	DET
fcis-14568	185	5	first	first	ADJ
fcis-14568	185	6	layer	layer	NOUN
fcis-14568	185	7	of	of	ADP
fcis-14568	185	8	the	the	DET
fcis-14568	185	9	neural	neural	ADJ
fcis-14568	185	10	network	network	NOUN
fcis-14568	185	11	,	,	PUNCT
fcis-14568	185	12	used	use	VERB
fcis-14568	185	13	to	to	PART
fcis-14568	185	14	receive	receive	VERB
fcis-14568	185	15	the	the	DET
fcis-14568	185	16	original	original	ADJ
fcis-14568	185	17	sequence	sequence	NOUN
fcis-14568	185	18	data	datum	NOUN
fcis-14568	185	19	,	,	PUNCT
fcis-14568	185	20	and	and	CCONJ
fcis-14568	185	21	preprocess	preprocess	NOUN
fcis-14568	185	22	and	and	CCONJ
fcis-14568	185	23	format	format	VERB
fcis-14568	185	24	it	it	PRON
fcis-14568	185	25	to	to	PART
fcis-14568	185	26	adapt	adapt	VERB
fcis-14568	185	27	to	to	ADP
fcis-14568	185	28	the	the	DET
fcis-14568	185	29	input	input	NOUN
fcis-14568	185	30	requirements	requirement	NOUN
fcis-14568	185	31	of	of	ADP
fcis-14568	185	32	the	the	DET
fcis-14568	185	33	network	network	NOUN
fcis-14568	185	34	.	.	PUNCT
fcis-14568	186	1	sequnfold	sequnfold	PROPN
fcis-14568	186	2	is	be	AUX
fcis-14568	186	3	the	the	DET
fcis-14568	186	4	sequenceunfoldinglayer	sequenceunfoldinglayer	NOUN
fcis-14568	186	5	layer	layer	NOUN
fcis-14568	186	6	,	,	PUNCT
fcis-14568	186	7	sequenceunfoldinglayer	sequenceunfoldinglayer	NOUN
fcis-14568	186	8	)	)	PUNCT
fcis-14568	186	9	is	be	AUX
fcis-14568	186	10	a	a	DET
fcis-14568	186	11	kind	kind	NOUN
fcis-14568	186	12	of	of	ADP
fcis-14568	186	13	recurrent	recurrent	ADJ
fcis-14568	186	14	neural	neural	ADJ
fcis-14568	186	15	network	network	NOUN
fcis-14568	186	16	.	.	PUNCT
fcis-14568	187	1	commonly	commonly	ADV
fcis-14568	187	2	used	use	VERB
fcis-14568	187	3	layers	layer	NOUN
fcis-14568	187	4	.	.	PUNCT
fcis-14568	188	1	its	its	PRON
fcis-14568	188	2	main	main	ADJ
fcis-14568	188	3	function	function	NOUN
fcis-14568	188	4	is	be	AUX
fcis-14568	188	5	to	to	PART
fcis-14568	188	6	expand	expand	VERB
fcis-14568	188	7	the	the	DET
fcis-14568	188	8	input	input	NOUN
fcis-14568	188	9	sequence	sequence	NOUN
fcis-14568	188	10	data	datum	NOUN
fcis-14568	188	11	into	into	ADP
fcis-14568	188	12	a	a	DET
fcis-14568	188	13	series	series	NOUN
fcis-14568	188	14	of	of	ADP
fcis-14568	188	15	time	time	NOUN
fcis-14568	188	16	step	step	NOUN
fcis-14568	188	17	inputs	input	NOUN
fcis-14568	188	18	.	.	PUNCT
fcis-14568	189	1	ba	ba	PROPN
fcis-14568	189	2	is	be	AUX
fcis-14568	189	3	batchnormalizationlayer	batchnormalizationlayer	NOUN
fcis-14568	189	4	,	,	PUNCT
fcis-14568	189	5	flatten	flatten	VERB
fcis-14568	189	6	is	be	AUX
fcis-14568	189	7	flattening	flatten	VERB
fcis-14568	189	8	layer	layer	NOUN
fcis-14568	189	9	,	,	PUNCT
fcis-14568	189	10	and	and	CCONJ
fcis-14568	189	11	fc	fc	PROPN
fcis-14568	189	12	is	be	AUX
fcis-14568	189	13	fully	fully	ADV
fcis-14568	189	14	connected	connect	VERB
fcis-14568	189	15	layer	layer	NOUN
fcis-14568	189	16	.	.	PUNCT
fcis-14568	190	1	figure	figure	NOUN
fcis-14568	190	2	3	3	NUM
fcis-14568	190	3	.	.	PUNCT
fcis-14568	191	1	cnn	cnn	PROPN
fcis-14568	191	2	-	-	PUNCT
fcis-14568	191	3	bilstm	bilstm	NOUN
fcis-14568	191	4	-	-	PUNCT
fcis-14568	191	5	svm	svm	NOUN
fcis-14568	191	6	model	model	NOUN
fcis-14568	191	7	diagram	diagram	PROPN
fcis-14568	191	8	3.3	3.3	NUM
fcis-14568	191	9	.	.	PUNCT
fcis-14568	192	1	experimental	experimental	ADJ
fcis-14568	192	2	results	result	NOUN
fcis-14568	192	3	in	in	ADP
fcis-14568	192	4	order	order	NOUN
fcis-14568	192	5	to	to	PART
fcis-14568	192	6	verify	verify	VERB
fcis-14568	192	7	the	the	DET
fcis-14568	192	8	model	model	NOUN
fcis-14568	192	9	accuracy	accuracy	NOUN
fcis-14568	192	10	of	of	ADP
fcis-14568	192	11	the	the	DET
fcis-14568	192	12	method	method	NOUN
fcis-14568	192	13	proposed	propose	VERB
fcis-14568	192	14	in	in	ADP
fcis-14568	192	15	this	this	DET
fcis-14568	192	16	article	article	NOUN
fcis-14568	192	17	,	,	PUNCT
fcis-14568	192	18	comparative	comparative	ADJ
fcis-14568	192	19	experiments	experiment	NOUN
fcis-14568	192	20	were	be	AUX
fcis-14568	192	21	conducted	conduct	VERB
fcis-14568	192	22	on	on	ADP
fcis-14568	192	23	the	the	DET
fcis-14568	192	24	parameters	parameter	NOUN
fcis-14568	192	25	of	of	ADP
fcis-14568	192	26	svm	svm	PROPN
fcis-14568	192	27	using	use	VERB
fcis-14568	192	28	the	the	DET
fcis-14568	192	29	cnnbilsetm	cnnbilsetm	NOUN
fcis-14568	192	30	-	-	PUNCT
fcis-14568	192	31	svm	svm	PROPN
fcis-14568	192	32	optimized	optimize	VERB
fcis-14568	192	33	by	by	ADP
fcis-14568	192	34	the	the	DET
fcis-14568	192	35	seagull	seagull	NOUN
fcis-14568	192	36	optimization	optimization	NOUN
fcis-14568	192	37	algorithm	algorithm	NOUN
fcis-14568	192	38	and	and	CCONJ
fcis-14568	192	39	the	the	DET
fcis-14568	192	40	sparrow	sparrow	ADJ
fcis-14568	192	41	search	search	NOUN
fcis-14568	192	42	optimization	optimization	NOUN
fcis-14568	192	43	algorithm	algorithm	NOUN
fcis-14568	192	44	.	.	PUNCT
fcis-14568	193	1	the	the	DET
fcis-14568	193	2	training	training	NOUN
fcis-14568	193	3	set	set	NOUN
fcis-14568	193	4	was	be	AUX
fcis-14568	193	5	cross	cross	ADJ
fcis-14568	193	6	-	-	ADJ
fcis-14568	193	7	validated	validated	ADJ
fcis-14568	193	8	five	five	NUM
fcis-14568	193	9	times	time	NOUN
fcis-14568	193	10	,	,	PUNCT
fcis-14568	193	11	and	and	CCONJ
fcis-14568	193	12	the	the	DET
fcis-14568	193	13	three	three	NUM
fcis-14568	193	14	optimization	optimization	NOUN
fcis-14568	193	15	algorithm	algorithm	NOUN
fcis-14568	193	16	models	model	NOUN
fcis-14568	193	17	were	be	AUX
fcis-14568	193	18	the	the	DET
fcis-14568	193	19	fitness	fitness	NOUN
fcis-14568	193	20	function	function	NOUN
fcis-14568	193	21	is	be	AUX
fcis-14568	193	22	the	the	DET
fcis-14568	193	23	mean	mean	NOUN
fcis-14568	193	24	of	of	ADP
fcis-14568	193	25	five	five	NUM
fcis-14568	193	26	root	root	NOUN
fcis-14568	193	27	mean	mean	ADJ
fcis-14568	193	28	square	square	ADJ
fcis-14568	193	29	errors	error	NOUN
fcis-14568	193	30	.	.	PUNCT
fcis-14568	194	1	the	the	DET
fcis-14568	194	2	fitness	fitness	NOUN
fcis-14568	194	3	value	value	NOUN
fcis-14568	194	4	and	and	CCONJ
fcis-14568	194	5	svm	svm	ADJ
fcis-14568	194	6	parameters	parameter	NOUN
fcis-14568	194	7	are	be	AUX
fcis-14568	194	8	shown	show	VERB
fcis-14568	194	9	in	in	ADP
fcis-14568	194	10	table	table	NOUN
fcis-14568	194	11	2	2	NUM
fcis-14568	194	12	.	.	PUNCT
fcis-14568	195	1	the	the	DET
fcis-14568	195	2	fitness	fitness	NOUN
fcis-14568	195	3	function	function	NOUN
fcis-14568	195	4	trend	trend	NOUN
fcis-14568	195	5	is	be	AUX
fcis-14568	195	6	shown	show	VERB
fcis-14568	195	7	in	in	ADP
fcis-14568	195	8	figure	figure	NOUN
fcis-14568	195	9	4	4	NUM
fcis-14568	195	10	25	25	NUM
fcis-14568	195	11	*	*	PUNCT
fcis-14568	196	1	k=1	k=1	NOUN
fcis-14568	196	2	1	1	NUM
fcis-14568	196	3	1	1	NUM
fcis-14568	196	4	(	(	PUNCT
fcis-14568	196	5	)	)	PUNCT
fcis-14568	196	6	5	5	NUM
fcis-14568	196	7	n	n	NOUN
fcis-14568	197	1	i	i	PRON
fcis-14568	197	2	i	i	PRON
fcis-14568	198	1	i	i	PRON
fcis-14568	198	2	rmse	rmse	VERB
fcis-14568	198	3	y	y	PROPN
fcis-14568	198	4	y	y	PROPN
fcis-14568	198	5	n	n	PROPN
fcis-14568	198	6	e	e	PROPN
fcis-14568	198	7			PROPN
fcis-14568	198	8			PROPN
fcis-14568	198	9			NOUN
fcis-14568	198	10			X
fcis-14568	198	11			X
fcis-14568	198	12	(	(	PUNCT
fcis-14568	198	13	14	14	NUM
fcis-14568	198	14	)	)	PUNCT
fcis-14568	198	15	in	in	ADP
fcis-14568	198	16	the	the	DET
fcis-14568	198	17	formula	formula	NOUN
fcis-14568	198	18	:	:	PUNCT
fcis-14568	198	19	iy	iy	PROPN
fcis-14568	198	20	represents	represent	VERB
fcis-14568	198	21	the	the	DET
fcis-14568	198	22	real	real	ADJ
fcis-14568	198	23	label	label	NOUN
fcis-14568	198	24	value	value	NOUN
fcis-14568	198	25	,	,	PUNCT
fcis-14568	198	26	*	*	PUNCT
fcis-14568	198	27	iy	iy	PROPN
fcis-14568	198	28	represents	represent	VERB
fcis-14568	198	29	the	the	DET
fcis-14568	198	30	predicted	predict	VERB
fcis-14568	198	31	label	label	NOUN
fcis-14568	198	32	value	value	NOUN
fcis-14568	198	33	,	,	PUNCT
fcis-14568	198	34	n	n	PRON
fcis-14568	198	35	represents	represent	VERB
fcis-14568	198	36	the	the	DET
fcis-14568	198	37	number	number	NOUN
fcis-14568	198	38	of	of	ADP
fcis-14568	198	39	samples	sample	NOUN
fcis-14568	198	40	,	,	PUNCT
fcis-14568	198	41	and	and	CCONJ
fcis-14568	198	42	k	k	PROPN
fcis-14568	198	43	represents	represent	VERB
fcis-14568	198	44	the	the	DET
fcis-14568	198	45	number	number	NOUN
fcis-14568	198	46	of	of	ADP
fcis-14568	198	47	cross	cross	ADJ
fcis-14568	198	48	-	-	ADJ
fcis-14568	198	49	validation	validation	ADJ
fcis-14568	198	50	times	time	NOUN
fcis-14568	198	51	.	.	PUNCT
fcis-14568	199	1	figure	figure	VERB
fcis-14568	199	2	4	4	NUM
fcis-14568	199	3	.	.	PUNCT
fcis-14568	200	1	the	the	DET
fcis-14568	200	2	fitness	fitness	NOUN
fcis-14568	200	3	function	function	NOUN
fcis-14568	200	4	trend	trend	NOUN
fcis-14568	200	5	26	26	NUM
fcis-14568	200	6	table	table	NOUN
fcis-14568	200	7	2	2	NUM
fcis-14568	200	8	.	.	PUNCT
fcis-14568	201	1	svm	svm	ADJ
fcis-14568	201	2	parameters	parameter	NOUN
fcis-14568	201	3	and	and	CCONJ
fcis-14568	201	4	their	their	PRON
fcis-14568	201	5	fitness	fitness	NOUN
fcis-14568	201	6	index	index	NOUN
fcis-14568	201	7	improved	improve	VERB
fcis-14568	201	8	hlbo	hlbo	PROPN
fcis-14568	201	9	hlbo	hlbo	PROPN
fcis-14568	201	10	soa	soa	PROPN
fcis-14568	201	11	ssa	ssa	PROPN
fcis-14568	201	12	regularization	regularization	NOUN
fcis-14568	201	13	coefficient	coefficient	NOUN
fcis-14568	201	14	c	c	ADP
fcis-14568	201	15	10.31	10.31	NUM
fcis-14568	201	16	10.22	10.22	NUM
fcis-14568	201	17	11.24	11.24	NUM
fcis-14568	201	18	12.28	12.28	NUM
fcis-14568	201	19	kernel	kernel	PROPN
fcis-14568	201	20	function	function	NOUN
fcis-14568	201	21	parameters	parameter	NOUN
fcis-14568	201	22			ADP
fcis-14568	201	23	2.41	2.41	NUM
fcis-14568	201	24	1.25	1.25	NUM
fcis-14568	201	25	3.21	3.21	NUM
fcis-14568	201	26	2.73	2.73	NUM
fcis-14568	201	27	adaptability	adaptability	NOUN
fcis-14568	201	28	0.132	0.132	NUM
fcis-14568	201	29	0.142	0.142	NUM
fcis-14568	201	30	0.135	0.135	NUM
fcis-14568	201	31	0.134	0.134	NUM
fcis-14568	201	32	results	result	VERB
fcis-14568	201	33	analysis	analysis	NOUN
fcis-14568	201	34	,	,	PUNCT
fcis-14568	201	35	this	this	DET
fcis-14568	201	36	article	article	NOUN
fcis-14568	201	37	proposes	propose	VERB
fcis-14568	201	38	cnn	cnn	PROPN
fcis-14568	201	39	-	-	PUNCT
fcis-14568	201	40	bilstm	bilstm	NOUN
fcis-14568	201	41	-	-	PUNCT
fcis-14568	201	42	svm	svm	NOUN
fcis-14568	201	43	based	base	VERB
fcis-14568	201	44	on	on	ADP
fcis-14568	201	45	the	the	DET
fcis-14568	201	46	improved	improve	VERB
fcis-14568	201	47	hybrid	hybrid	NOUN
fcis-14568	201	48	leader	leader	NOUN
fcis-14568	201	49	algorithm	algorithm	NOUN
fcis-14568	201	50	(	(	PUNCT
fcis-14568	201	51	ihlbo	ihlbo	NOUN
fcis-14568	201	52	)	)	PUNCT
fcis-14568	201	53	,	,	PUNCT
fcis-14568	201	54	cnn	cnn	PROPN
fcis-14568	201	55	-	-	PUNCT
fcis-14568	201	56	bilstm	bilstm	NOUN
fcis-14568	201	57	-	-	PUNCT
fcis-14568	201	58	svm	svm	NOUN
fcis-14568	201	59	based	base	VERB
fcis-14568	201	60	on	on	ADP
fcis-14568	201	61	the	the	DET
fcis-14568	201	62	hybrid	hybrid	ADJ
fcis-14568	201	63	leader	leader	NOUN
fcis-14568	201	64	algorithm	algorithm	NOUN
fcis-14568	201	65	(	(	PUNCT
fcis-14568	201	66	hlbo	hlbo	PROPN
fcis-14568	201	67	)	)	PUNCT
fcis-14568	201	68	,	,	PUNCT
fcis-14568	201	69	cnn	cnn	PROPN
fcis-14568	201	70	-	-	PUNCT
fcis-14568	201	71	bilstm	bilstm	NOUN
fcis-14568	201	72	-	-	PUNCT
fcis-14568	201	73	svm	svm	NOUN
fcis-14568	201	74	based	base	VERB
fcis-14568	201	75	on	on	ADP
fcis-14568	201	76	the	the	DET
fcis-14568	201	77	seagull	seagull	NOUN
fcis-14568	201	78	optimization	optimization	NOUN
fcis-14568	201	79	algorithm	algorithm	NOUN
fcis-14568	201	80	(	(	PUNCT
fcis-14568	201	81	soa	soa	PROPN
fcis-14568	201	82	)	)	PUNCT
fcis-14568	202	1	[	[	X
fcis-14568	202	2	10	10	NUM
fcis-14568	202	3	]	]	PUNCT
fcis-14568	202	4	,	,	PUNCT
fcis-14568	202	5	the	the	DET
fcis-14568	202	6	accuracy	accuracy	NOUN
fcis-14568	202	7	rates	rate	NOUN
fcis-14568	202	8	of	of	ADP
fcis-14568	202	9	the	the	DET
fcis-14568	202	10	four	four	NUM
fcis-14568	202	11	cnn	cnn	PROPN
fcis-14568	202	12	-	-	PUNCT
fcis-14568	202	13	bilstm	bilstm	ADJ
fcis-14568	202	14	-	-	PUNCT
fcis-14568	202	15	svm	svm	NOUN
fcis-14568	202	16	models	model	NOUN
fcis-14568	202	17	of	of	ADP
fcis-14568	202	18	the	the	DET
fcis-14568	202	19	sparrow	sparrow	ADJ
fcis-14568	202	20	search	search	NOUN
fcis-14568	202	21	optimization	optimization	NOUN
fcis-14568	202	22	algorithm	algorithm	NOUN
fcis-14568	202	23	(	(	PUNCT
fcis-14568	202	24	ssa	ssa	NOUN
fcis-14568	202	25	)	)	PUNCT
fcis-14568	203	1	[	[	X
fcis-14568	203	2	11	11	NUM
fcis-14568	203	3	]	]	PUNCT
fcis-14568	203	4	are	be	AUX
fcis-14568	203	5	92.4	92.4	NUM
fcis-14568	203	6	%	%	NOUN
fcis-14568	203	7	,	,	PUNCT
fcis-14568	203	8	89.9	89.9	NUM
fcis-14568	203	9	%	%	NOUN
fcis-14568	203	10	,	,	PUNCT
fcis-14568	203	11	91.4	91.4	NUM
fcis-14568	203	12	%	%	NOUN
fcis-14568	203	13	,	,	PUNCT
fcis-14568	203	14	and	and	CCONJ
fcis-14568	203	15	90.9	90.9	NUM
fcis-14568	203	16	%	%	NOUN
fcis-14568	203	17	respectively	respectively	ADV
fcis-14568	203	18	.	.	PUNCT
fcis-14568	204	1	the	the	DET
fcis-14568	204	2	model	model	NOUN
fcis-14568	204	3	results	result	NOUN
fcis-14568	204	4	are	be	AUX
fcis-14568	204	5	shown	show	VERB
fcis-14568	204	6	in	in	ADP
fcis-14568	204	7	table	table	NOUN
fcis-14568	204	8	4	4	NUM
fcis-14568	204	9	.	.	PUNCT
fcis-14568	204	10	table	table	NOUN
fcis-14568	204	11	3	3	NUM
fcis-14568	204	12	.	.	PUNCT
fcis-14568	204	13	model	model	NOUN
fcis-14568	204	14	experimental	experimental	ADJ
fcis-14568	204	15	parameter	parameter	NOUN
fcis-14568	204	16	settings	setting	NOUN
fcis-14568	204	17	model	model	NOUN
fcis-14568	204	18	parameters	parameter	NOUN
fcis-14568	204	19	content	content	NOUN
fcis-14568	204	20	maxepochs	maxepoch	VERB
fcis-14568	204	21	500	500	NUM
fcis-14568	204	22	minibatchsize	minibatchsize	VERB
fcis-14568	204	23	32	32	NUM
fcis-14568	204	24	initiallearnrate	initiallearnrate	ADJ
fcis-14568	205	1	1e-3	1e-3	PROPN
fcis-14568	205	2	l2regularization	l2regularization	PROPN
fcis-14568	205	3	1e-4	1e-4	PROPN
fcis-14568	205	4	learnrateschedule	learnrateschedule	NOUN
fcis-14568	205	5	piecewise	piecewise	NOUN
fcis-14568	205	6	learnratedropfactor	learnratedropfactor	NOUN
fcis-14568	205	7	0.1	0.1	NUM
fcis-14568	205	8	learnratedropperiod	learnratedropperiod	NOUN
fcis-14568	205	9	400	400	NUM
fcis-14568	205	10	table	table	NOUN
fcis-14568	205	11	4	4	NUM
fcis-14568	205	12	.	.	PUNCT
fcis-14568	205	13	model	model	NOUN
fcis-14568	205	14	results	result	VERB
fcis-14568	205	15	ihlbo	ihlbo	PROPN
fcis-14568	205	16	hlbo	hlbo	PROPN
fcis-14568	205	17	soa	soa	PROPN
fcis-14568	205	18	ssa	ssa	PROPN
fcis-14568	205	19	type	type	PROPN
fcis-14568	205	20	label	label	NOUN
fcis-14568	205	21	misjudgment	misjudgment	NOUN
fcis-14568	205	22	number	number	NOUN
fcis-14568	205	23	misjudgment	misjudgment	NOUN
fcis-14568	205	24	number	number	NOUN
fcis-14568	205	25	misjudgment	misjudgment	NOUN
fcis-14568	205	26	number	number	NOUN
fcis-14568	205	27	misjudgment	misjudgment	NOUN
fcis-14568	205	28	number	number	NOUN
fcis-14568	205	29	slight	slight	ADJ
fcis-14568	205	30	cold	cold	ADJ
fcis-14568	205	31	joint	joint	ADJ
fcis-14568	205	32	1	1	NUM
fcis-14568	205	33	28	28	NUM
fcis-14568	205	34	26	26	NUM
fcis-14568	205	35	36	36	NUM
fcis-14568	205	36	24	24	NUM
fcis-14568	205	37	non	non	ADJ
fcis-14568	205	38	cold	cold	ADJ
fcis-14568	205	39	joint	joint	NOUN
fcis-14568	205	40	2	2	NUM
fcis-14568	205	41	2	2	NUM
fcis-14568	205	42	4	4	NUM
fcis-14568	205	43	2	2	NUM
fcis-14568	205	44	14	14	NUM
fcis-14568	205	45	cold	cold	ADJ
fcis-14568	205	46	joint	joint	ADJ
fcis-14568	205	47	3	3	NUM
fcis-14568	205	48	0	0	NUM
fcis-14568	205	49	4	4	NUM
fcis-14568	205	50	2	2	NUM
fcis-14568	205	51	6	6	NUM
fcis-14568	205	52	figure	figure	NOUN
fcis-14568	205	53	5	5	NUM
fcis-14568	205	54	.	.	PUNCT
fcis-14568	205	55	model	model	NOUN
fcis-14568	205	56	testing	testing	NOUN
fcis-14568	205	57	results	result	VERB
fcis-14568	205	58	the	the	DET
fcis-14568	205	59	cnn	cnn	PROPN
fcis-14568	205	60	-	-	PUNCT
fcis-14568	205	61	bilstm	bilstm	NOUN
fcis-14568	205	62	-	-	PUNCT
fcis-14568	205	63	svm	svm	NOUN
fcis-14568	205	64	based	base	VERB
fcis-14568	205	65	on	on	ADP
fcis-14568	205	66	the	the	DET
fcis-14568	205	67	improved	improve	VERB
fcis-14568	205	68	hybrid	hybrid	NOUN
fcis-14568	205	69	leader	leader	NOUN
fcis-14568	205	70	algorithm	algorithm	NOUN
fcis-14568	205	71	proposed	propose	VERB
fcis-14568	205	72	in	in	ADP
fcis-14568	205	73	this	this	DET
fcis-14568	205	74	article	article	NOUN
fcis-14568	205	75	is	be	AUX
fcis-14568	205	76	the	the	DET
fcis-14568	205	77	highest	high	ADJ
fcis-14568	205	78	among	among	ADP
fcis-14568	205	79	the	the	DET
fcis-14568	205	80	models	model	NOUN
fcis-14568	205	81	currently	currently	ADV
fcis-14568	205	82	proposed	propose	VERB
fcis-14568	205	83	.	.	PUNCT
fcis-14568	206	1	it	it	PRON
fcis-14568	206	2	is	be	AUX
fcis-14568	206	3	known	know	VERB
fcis-14568	206	4	from	from	ADP
fcis-14568	206	5	figure	figure	NOUN
fcis-14568	206	6	5	5	NUM
fcis-14568	206	7	and	and	CCONJ
fcis-14568	206	8	table	table	NOUN
fcis-14568	206	9	4	4	NUM
fcis-14568	206	10	:	:	PUNCT
fcis-14568	206	11	this	this	DET
fcis-14568	206	12	model	model	NOUN
fcis-14568	206	13	is	be	AUX
fcis-14568	206	14	more	more	ADV
fcis-14568	206	15	sensitive	sensitive	ADJ
fcis-14568	206	16	to	to	ADP
fcis-14568	206	17	the	the	DET
fcis-14568	206	18	cold	cold	ADJ
fcis-14568	206	19	joints	joint	NOUN
fcis-14568	206	20	part	part	NOUN
fcis-14568	206	21	and	and	CCONJ
fcis-14568	206	22	the	the	DET
fcis-14568	206	23	non	non	ADJ
fcis-14568	206	24	-	-	ADJ
fcis-14568	206	25	cold	cold	ADJ
fcis-14568	206	26	joints	joint	NOUN
fcis-14568	206	27	part	part	NOUN
fcis-14568	206	28	than	than	ADP
fcis-14568	206	29	the	the	DET
fcis-14568	206	30	remaining	remain	VERB
fcis-14568	206	31	three	three	NUM
fcis-14568	206	32	models	model	NOUN
fcis-14568	206	33	.	.	PUNCT
fcis-14568	207	1	the	the	DET
fcis-14568	207	2	reason	reason	NOUN
fcis-14568	207	3	is	be	AUX
fcis-14568	207	4	:	:	PUNCT
fcis-14568	207	5	when	when	SCONJ
fcis-14568	207	6	the	the	DET
fcis-14568	207	7	various	various	ADJ
fcis-14568	207	8	initialization	initialization	NOUN
fcis-14568	207	9	parameters	parameter	NOUN
fcis-14568	207	10	of	of	ADP
fcis-14568	207	11	the	the	DET
fcis-14568	207	12	four	four	NUM
fcis-14568	207	13	models	model	NOUN
fcis-14568	207	14	mentioned	mention	VERB
fcis-14568	207	15	above	above	ADV
fcis-14568	207	16	are	be	AUX
fcis-14568	207	17	consistent	consistent	ADJ
fcis-14568	207	18	,	,	PUNCT
fcis-14568	207	19	the	the	DET
fcis-14568	207	20	improved	improved	ADJ
fcis-14568	207	21	hybrid	hybrid	ADJ
fcis-14568	207	22	leader	leader	NOUN
fcis-14568	207	23	algorithm	algorithm	NOUN
fcis-14568	207	24	has	have	VERB
fcis-14568	207	25	better	well	ADJ
fcis-14568	207	26	parameters	parameter	NOUN
fcis-14568	207	27	than	than	ADP
fcis-14568	207	28	the	the	DET
fcis-14568	207	29	original	original	ADJ
fcis-14568	207	30	leader	leader	NOUN
fcis-14568	207	31	algorithm	algorithm	NOUN
fcis-14568	207	32	,	,	PUNCT
fcis-14568	207	33	seagull	seagull	NOUN
fcis-14568	207	34	optimization	optimization	NOUN
fcis-14568	207	35	algorithm	algorithm	NOUN
fcis-14568	207	36	,	,	PUNCT
fcis-14568	207	37	and	and	CCONJ
fcis-14568	207	38	sparrow	sparrow	NOUN
fcis-14568	207	39	search	search	NOUN
fcis-14568	207	40	algorithm	algorithm	NOUN
fcis-14568	207	41	(	(	PUNCT
fcis-14568	207	42	ssa	ssa	NOUN
fcis-14568	207	43	)	)	PUNCT
fcis-14568	207	44	.	.	PUNCT
fcis-14568	208	1	the	the	DET
fcis-14568	208	2	search	search	NOUN
fcis-14568	208	3	ability	ability	NOUN
fcis-14568	208	4	of	of	ADP
fcis-14568	208	5	the	the	DET
fcis-14568	208	6	space	space	NOUN
fcis-14568	208	7	is	be	AUX
fcis-14568	208	8	stronger	strong	ADJ
fcis-14568	208	9	,	,	PUNCT
fcis-14568	208	10	and	and	CCONJ
fcis-14568	208	11	it	it	PRON
fcis-14568	208	12	is	be	AUX
fcis-14568	208	13	less	less	ADV
fcis-14568	208	14	likely	likely	ADJ
fcis-14568	208	15	to	to	PART
fcis-14568	208	16	fall	fall	VERB
fcis-14568	208	17	into	into	ADP
fcis-14568	208	18	the	the	DET
fcis-14568	208	19	local	local	ADJ
fcis-14568	208	20	optimal	optimal	ADJ
fcis-14568	208	21	solution	solution	NOUN
fcis-14568	208	22	.	.	PUNCT
fcis-14568	209	1	the	the	DET
fcis-14568	209	2	robustness	robustness	NOUN
fcis-14568	209	3	and	and	CCONJ
fcis-14568	209	4	generalization	generalization	NOUN
fcis-14568	209	5	ability	ability	NOUN
fcis-14568	209	6	of	of	ADP
fcis-14568	209	7	the	the	DET
fcis-14568	209	8	model	model	NOUN
fcis-14568	209	9	have	have	AUX
fcis-14568	209	10	been	be	AUX
fcis-14568	209	11	strengthened	strengthen	VERB
fcis-14568	209	12	,	,	PUNCT
fcis-14568	209	13	and	and	CCONJ
fcis-14568	209	14	the	the	DET
fcis-14568	209	15	prediction	prediction	NOUN
fcis-14568	209	16	effect	effect	NOUN
fcis-14568	209	17	of	of	ADP
fcis-14568	209	18	the	the	DET
fcis-14568	209	19	model	model	NOUN
fcis-14568	209	20	has	have	AUX
fcis-14568	209	21	been	be	AUX
fcis-14568	209	22	greatly	greatly	ADV
fcis-14568	209	23	improved	improve	VERB
fcis-14568	209	24	.	.	PUNCT
fcis-14568	210	1	in	in	ADP
fcis-14568	210	2	summary	summary	NOUN
fcis-14568	210	3	,	,	PUNCT
fcis-14568	210	4	the	the	DET
fcis-14568	210	5	cnn	cnn	PROPN
fcis-14568	210	6	-	-	PUNCT
fcis-14568	210	7	bilstm	bilstm	NOUN
fcis-14568	210	8	-	-	PUNCT
fcis-14568	210	9	svm	svm	NOUN
fcis-14568	210	10	based	base	VERB
fcis-14568	210	11	on	on	ADP
fcis-14568	210	12	the	the	DET
fcis-14568	210	13	improved	improve	VERB
fcis-14568	210	14	hybrid	hybrid	NOUN
fcis-14568	210	15	leader	leader	NOUN
fcis-14568	210	16	algorithm	algorithm	NOUN
fcis-14568	210	17	proposed	propose	VERB
fcis-14568	210	18	in	in	ADP
fcis-14568	210	19	this	this	DET
fcis-14568	210	20	article	article	NOUN
fcis-14568	210	21	can	can	AUX
fcis-14568	210	22	have	have	VERB
fcis-14568	210	23	high	high	ADJ
fcis-14568	210	24	detection	detection	NOUN
fcis-14568	210	25	and	and	CCONJ
fcis-14568	210	26	diagnosis	diagnosis	NOUN
fcis-14568	210	27	accuracy	accuracy	NOUN
fcis-14568	210	28	for	for	ADP
fcis-14568	210	29	suspected	suspect	VERB
fcis-14568	210	30	cold	cold	ADJ
fcis-14568	210	31	joint	joint	ADJ
fcis-14568	210	32	areas	area	NOUN
fcis-14568	210	33	in	in	ADP
fcis-14568	210	34	the	the	DET
fcis-14568	210	35	second	second	ADJ
fcis-14568	210	36	lining	lining	NOUN
fcis-14568	210	37	of	of	ADP
fcis-14568	210	38	tunnels	tunnel	NOUN
fcis-14568	210	39	,	,	PUNCT
fcis-14568	210	40	and	and	CCONJ
fcis-14568	210	41	can	can	AUX
fcis-14568	210	42	be	be	AUX
fcis-14568	210	43	used	use	VERB
fcis-14568	210	44	in	in	ADP
fcis-14568	210	45	actual	actual	ADJ
fcis-14568	210	46	engineering	engineering	NOUN
fcis-14568	210	47	.	.	PUNCT
fcis-14568	211	1	4	4	X
fcis-14568	211	2	.	.	X
fcis-14568	211	3	conclusion	conclusion	NOUN
fcis-14568	211	4	in	in	ADP
fcis-14568	211	5	order	order	NOUN
fcis-14568	211	6	to	to	PART
fcis-14568	211	7	solve	solve	VERB
fcis-14568	211	8	the	the	DET
fcis-14568	211	9	current	current	ADJ
fcis-14568	211	10	problems	problem	NOUN
fcis-14568	211	11	of	of	ADP
fcis-14568	211	12	low	low	ADJ
fcis-14568	211	13	detection	detection	NOUN
fcis-14568	211	14	accuracy	accuracy	NOUN
fcis-14568	211	15	and	and	CCONJ
fcis-14568	211	16	high	high	ADJ
fcis-14568	211	17	difficulty	difficulty	NOUN
fcis-14568	211	18	in	in	ADP
fcis-14568	211	19	data	data	NOUN
fcis-14568	211	20	analysis	analysis	NOUN
fcis-14568	211	21	in	in	ADP
fcis-14568	211	22	cold	cold	ADJ
fcis-14568	211	23	joints	joint	NOUN
fcis-14568	211	24	in	in	ADP
fcis-14568	211	25	railway	railway	NOUN
fcis-14568	211	26	tunnels	tunnel	NOUN
fcis-14568	211	27	,	,	PUNCT
fcis-14568	211	28	this	this	DET
fcis-14568	211	29	paper	paper	NOUN
fcis-14568	211	30	proposes	propose	VERB
fcis-14568	211	31	a	a	DET
fcis-14568	211	32	cnn	cnn	PROPN
fcis-14568	211	33	-	-	PUNCT
fcis-14568	211	34	bilstm	bilstm	NOUN
fcis-14568	211	35	-	-	PUNCT
fcis-14568	211	36	svm	svm	ADJ
fcis-14568	211	37	cold	cold	ADJ
fcis-14568	211	38	joint	joint	ADJ
fcis-14568	211	39	detection	detection	NOUN
fcis-14568	211	40	classification	classification	NOUN
fcis-14568	211	41	model	model	NOUN
fcis-14568	211	42	based	base	VERB
fcis-14568	211	43	on	on	ADP
fcis-14568	211	44	the	the	DET
fcis-14568	211	45	improved	improve	VERB
fcis-14568	211	46	hybrid	hybrid	NOUN
fcis-14568	211	47	leader	leader	NOUN
fcis-14568	211	48	algorithm	algorithm	NOUN
fcis-14568	211	49	.	.	PUNCT
fcis-14568	212	1	first	first	ADV
fcis-14568	212	2	,	,	PUNCT
fcis-14568	212	3	the	the	DET
fcis-14568	212	4	detection	detection	NOUN
fcis-14568	212	5	data	datum	NOUN
fcis-14568	212	6	is	be	AUX
fcis-14568	212	7	normalized	normalize	VERB
fcis-14568	212	8	.	.	PUNCT
fcis-14568	213	1	the	the	DET
fcis-14568	213	2	cnn	cnn	PROPN
fcis-14568	213	3	network	network	NOUN
fcis-14568	213	4	can	can	AUX
fcis-14568	213	5	be	be	AUX
fcis-14568	213	6	used	use	VERB
fcis-14568	213	7	for	for	ADP
fcis-14568	213	8	feature	feature	NOUN
fcis-14568	213	9	extraction	extraction	NOUN
fcis-14568	213	10	and	and	CCONJ
fcis-14568	213	11	bilstm	bilstm	NOUN
fcis-14568	213	12	can	can	AUX
fcis-14568	213	13	share	share	VERB
fcis-14568	213	14	parameters	parameter	NOUN
fcis-14568	213	15	.	.	PUNCT
fcis-14568	214	1	this	this	PRON
fcis-14568	214	2	can	can	AUX
fcis-14568	214	3	reduce	reduce	VERB
fcis-14568	214	4	the	the	DET
fcis-14568	214	5	complexity	complexity	NOUN
fcis-14568	214	6	of	of	ADP
fcis-14568	214	7	the	the	DET
fcis-14568	214	8	model	model	NOUN
fcis-14568	214	9	and	and	CCONJ
fcis-14568	214	10	the	the	DET
fcis-14568	214	11	amount	amount	NOUN
fcis-14568	214	12	of	of	ADP
fcis-14568	214	13	calculation	calculation	NOUN
fcis-14568	214	14	during	during	ADP
fcis-14568	214	15	training	training	NOUN
fcis-14568	214	16	,	,	PUNCT
fcis-14568	214	17	and	and	CCONJ
fcis-14568	214	18	capture	capture	VERB
fcis-14568	214	19	richer	rich	ADJ
fcis-14568	214	20	contextual	contextual	ADJ
fcis-14568	214	21	information	information	NOUN
fcis-14568	214	22	.	.	PUNCT
fcis-14568	215	1	at	at	ADP
fcis-14568	215	2	the	the	DET
fcis-14568	215	3	same	same	ADJ
fcis-14568	215	4	time	time	NOUN
fcis-14568	215	5	,	,	PUNCT
fcis-14568	215	6	the	the	DET
fcis-14568	215	7	forward	forward	ADJ
fcis-14568	215	8	direction	direction	NOUN
fcis-14568	215	9	can	can	AUX
fcis-14568	215	10	be	be	AUX
fcis-14568	215	11	integrated	integrate	VERB
fcis-14568	215	12	with	with	ADP
fcis-14568	215	13	reverse	reverse	ADJ
fcis-14568	215	14	information	information	NOUN
fcis-14568	215	15	,	,	PUNCT
fcis-14568	215	16	this	this	DET
fcis-14568	215	17	feature	feature	NOUN
fcis-14568	215	18	helps	help	VERB
fcis-14568	215	19	to	to	PART
fcis-14568	215	20	improve	improve	VERB
fcis-14568	215	21	the	the	DET
fcis-14568	215	22	model	model	NOUN
fcis-14568	215	23	's	's	PART
fcis-14568	215	24	ability	ability	NOUN
fcis-14568	215	25	to	to	PART
fcis-14568	215	26	model	model	VERB
fcis-14568	215	27	long	long	ADJ
fcis-14568	215	28	-	-	PUNCT
fcis-14568	215	29	term	term	NOUN
fcis-14568	215	30	dependencies	dependency	NOUN
fcis-14568	215	31	in	in	ADP
fcis-14568	215	32	the	the	DET
fcis-14568	215	33	sequence	sequence	NOUN
fcis-14568	215	34	and	and	CCONJ
fcis-14568	215	35	extract	extract	VERB
fcis-14568	215	36	the	the	DET
fcis-14568	215	37	spatial	spatial	ADJ
fcis-14568	215	38	and	and	CCONJ
fcis-14568	215	39	temporal	temporal	ADJ
fcis-14568	215	40	characteristics	characteristic	NOUN
fcis-14568	215	41	of	of	ADP
fcis-14568	215	42	the	the	DET
fcis-14568	215	43	cold	cold	ADJ
fcis-14568	215	44	joints	joint	NOUN
fcis-14568	215	45	detection	detection	NOUN
fcis-14568	215	46	signal	signal	NOUN
fcis-14568	215	47	.	.	PUNCT
fcis-14568	216	1	finally	finally	ADV
fcis-14568	216	2	,	,	PUNCT
fcis-14568	216	3	svm	svm	PROPN
fcis-14568	216	4	is	be	AUX
fcis-14568	216	5	used	use	VERB
fcis-14568	216	6	to	to	PART
fcis-14568	216	7	replace	replace	VERB
fcis-14568	216	8	the	the	DET
fcis-14568	216	9	softmax	softmax	NOUN
fcis-14568	216	10	layer	layer	NOUN
fcis-14568	216	11	,	,	PUNCT
fcis-14568	216	12	which	which	PRON
fcis-14568	216	13	has	have	VERB
fcis-14568	216	14	the	the	DET
fcis-14568	216	15	advantages	advantage	NOUN
fcis-14568	216	16	of	of	ADP
fcis-14568	216	17	processing	process	VERB
fcis-14568	216	18	high	high	ADV
fcis-14568	216	19	-	-	PUNCT
fcis-14568	216	20	dimensional	dimensional	ADJ
fcis-14568	216	21	spatial	spatial	ADJ
fcis-14568	216	22	data	datum	NOUN
fcis-14568	216	23	,	,	PUNCT
fcis-14568	216	24	strong	strong	ADJ
fcis-14568	216	25	generalization	generalization	NOUN
fcis-14568	216	26	ability	ability	NOUN
fcis-14568	216	27	,	,	PUNCT
fcis-14568	216	28	avoiding	avoid	VERB
fcis-14568	216	29	over	over	ADV
fcis-14568	216	30	-	-	PUNCT
fcis-14568	216	31	fitting	fitting	ADJ
fcis-14568	216	32	,	,	PUNCT
fcis-14568	216	33	good	good	ADJ
fcis-14568	216	34	robustness	robustness	NOUN
fcis-14568	216	35	to	to	AUX
fcis-14568	216	36	noise	noise	NOUN
fcis-14568	216	37	,	,	PUNCT
fcis-14568	216	38	strong	strong	ADJ
fcis-14568	216	39	interpretability	interpretability	NOUN
fcis-14568	216	40	and	and	CCONJ
fcis-14568	216	41	flexibility	flexibility	NOUN
fcis-14568	216	42	,	,	PUNCT
fcis-14568	216	43	and	and	CCONJ
fcis-14568	216	44	uses	use	VERB
fcis-14568	216	45	the	the	DET
fcis-14568	216	46	improved	improve	VERB
fcis-14568	216	47	hybrid	hybrid	NOUN
fcis-14568	216	48	leader	leader	NOUN
fcis-14568	216	49	algorithm	algorithm	NOUN
fcis-14568	216	50	to	to	ADP
fcis-14568	216	51	the	the	DET
fcis-14568	216	52	svm	svm	ADJ
fcis-14568	216	53	parameters	parameter	NOUN
fcis-14568	216	54	are	be	AUX
fcis-14568	216	55	optimized	optimize	VERB
fcis-14568	216	56	to	to	PART
fcis-14568	216	57	form	form	VERB
fcis-14568	216	58	a	a	DET
fcis-14568	216	59	cnn	cnn	PROPN
fcis-14568	216	60	-	-	PUNCT
fcis-14568	216	61	bilstm	bilstm	NOUN
fcis-14568	216	62	-	-	PUNCT
fcis-14568	216	63	svm	svm	ADJ
fcis-14568	216	64	cold	cold	ADJ
fcis-14568	216	65	joints	joint	NOUN
fcis-14568	216	66	detection	detection	NOUN
fcis-14568	216	67	classification	classification	NOUN
fcis-14568	216	68	model	model	NOUN
fcis-14568	216	69	with	with	ADP
fcis-14568	216	70	an	an	DET
fcis-14568	216	71	improved	improved	ADJ
fcis-14568	216	72	hybrid	hybrid	NOUN
fcis-14568	216	73	leader	leader	NOUN
fcis-14568	216	74	algorithm	algorithm	NOUN
fcis-14568	216	75	.	.	PUNCT
fcis-14568	217	1	experimental	experimental	ADJ
fcis-14568	217	2	results	result	NOUN
fcis-14568	217	3	show	show	VERB
fcis-14568	217	4	that	that	SCONJ
fcis-14568	217	5	the	the	DET
fcis-14568	217	6	accuracy	accuracy	NOUN
fcis-14568	217	7	of	of	ADP
fcis-14568	217	8	this	this	DET
fcis-14568	217	9	method	method	NOUN
fcis-14568	217	10	is	be	AUX
fcis-14568	217	11	as	as	ADV
fcis-14568	217	12	high	high	ADJ
fcis-14568	217	13	as	as	ADP
fcis-14568	217	14	91.41	91.41	NUM
fcis-14568	217	15	%	%	NOUN
fcis-14568	217	16	,	,	PUNCT
fcis-14568	217	17	which	which	PRON
fcis-14568	217	18	is	be	AUX
fcis-14568	217	19	higher	high	ADJ
fcis-14568	217	20	than	than	ADP
fcis-14568	217	21	the	the	DET
fcis-14568	217	22	other	other	ADJ
fcis-14568	217	23	mentioned	mention	VERB
fcis-14568	217	24	methods	method	NOUN
fcis-14568	217	25	.	.	PUNCT
fcis-14568	218	1	in	in	ADP
fcis-14568	218	2	the	the	DET
fcis-14568	218	3	future	future	NOUN
fcis-14568	218	4	,	,	PUNCT
fcis-14568	218	5	the	the	DET
fcis-14568	218	6	data	datum	NOUN
fcis-14568	218	7	set	set	VERB
fcis-14568	218	8	can	can	AUX
fcis-14568	218	9	be	be	AUX
fcis-14568	218	10	gradually	gradually	ADV
fcis-14568	218	11	improved	improve	VERB
fcis-14568	218	12	,	,	PUNCT
fcis-14568	218	13	a	a	DET
fcis-14568	218	14	better	well	ADJ
fcis-14568	218	15	fitness	fitness	NOUN
fcis-14568	218	16	function	function	NOUN
fcis-14568	218	17	can	can	AUX
fcis-14568	218	18	be	be	AUX
fcis-14568	218	19	designed	design	VERB
fcis-14568	218	20	,	,	PUNCT
fcis-14568	218	21	and	and	CCONJ
fcis-14568	218	22	through	through	ADP
fcis-14568	218	23	crossvalidation	crossvalidation	NOUN
fcis-14568	218	24	,	,	PUNCT
fcis-14568	218	25	better	well	ADV
fcis-14568	218	26	svm	svm	ADJ
fcis-14568	218	27	parameters	parameter	NOUN
fcis-14568	218	28	can	can	AUX
fcis-14568	218	29	be	be	AUX
fcis-14568	218	30	obtained	obtain	VERB
fcis-14568	218	31	,	,	PUNCT
fcis-14568	218	32	the	the	DET
fcis-14568	218	33	generalization	generalization	NOUN
fcis-14568	218	34	ability	ability	NOUN
fcis-14568	218	35	of	of	ADP
fcis-14568	218	36	the	the	DET
fcis-14568	218	37	model	model	NOUN
fcis-14568	218	38	can	can	AUX
fcis-14568	218	39	be	be	AUX
fcis-14568	218	40	improved	improve	VERB
fcis-14568	218	41	,	,	PUNCT
fcis-14568	218	42	and	and	CCONJ
fcis-14568	218	43	the	the	DET
fcis-14568	218	44	detection	detection	NOUN
fcis-14568	218	45	accuracy	accuracy	NOUN
fcis-14568	218	46	can	can	AUX
fcis-14568	218	47	be	be	AUX
fcis-14568	218	48	further	far	ADV
fcis-14568	218	49	improved	improve	VERB
fcis-14568	218	50	.	.	PUNCT
fcis-14568	219	1	references	reference	NOUN
fcis-14568	219	2	[	[	X
fcis-14568	219	3	1	1	NUM
fcis-14568	219	4	]	]	SYM
fcis-14568	219	5	deng	deng	PROPN
fcis-14568	219	6	,	,	PUNCT
fcis-14568	219	7	huang	huang	PROPN
fcis-14568	219	8	-	-	PUNCT
fcis-14568	219	9	shi	shi	PROPN
fcis-14568	219	10	,	,	PUNCT
fcis-14568	219	11	et	et	PROPN
fcis-14568	219	12	al	al	PROPN
fcis-14568	219	13	.	.	PUNCT
fcis-14568	220	1	"	"	PUNCT
fcis-14568	220	2	study	study	NOUN
fcis-14568	220	3	on	on	ADP
fcis-14568	220	4	deterioration	deterioration	NOUN
fcis-14568	220	5	,	,	PUNCT
fcis-14568	220	6	cracking	cracking	NOUN
fcis-14568	220	7	mechanism	mechanism	NOUN
fcis-14568	220	8	and	and	CCONJ
fcis-14568	220	9	treatment	treatment	NOUN
fcis-14568	220	10	measures	measure	NOUN
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fcis-14568	220	13	concrete	concrete	ADJ
fcis-14568	220	14	lining	lining	NOUN
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fcis-14568	220	16	cold	cold	ADJ
fcis-14568	220	17	joints	joint	NOUN
fcis-14568	220	18	in	in	ADP
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fcis-14568	220	25	"	"	PUNCT
fcis-14568	221	1	case	case	NOUN
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fcis-14568	221	3	in	in	ADP
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fcis-14568	221	7	(	(	PUNCT
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fcis-14568	222	1	[	[	X
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fcis-14568	222	3	]	]	X
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fcis-14568	222	7	jia	jia	PROPN
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fcis-14568	222	9	,	,	PUNCT
fcis-14568	222	10	chen	chen	PROPN
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fcis-14568	222	14	.	.	X
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fcis-14568	222	17	evaluation	evaluation	NOUN
fcis-14568	222	18	method	method	NOUN
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fcis-14568	222	20	concrete	concrete	ADJ
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fcis-14568	223	1	[	[	X
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fcis-14568	223	4	.	.	PUNCT
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fcis-14568	224	3	,	,	PUNCT
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fcis-14568	224	5	,	,	PUNCT
fcis-14568	224	6	63(01	63(01	NUM
fcis-14568	224	7	):	):	PUNCT
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fcis-14568	224	9	-	-	SYM
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fcis-14568	224	11	.	.	PUNCT
fcis-14568	225	1	[	[	X
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fcis-14568	225	3	]	]	X
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fcis-14568	226	7	surface	surface	NOUN
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fcis-14568	226	13	.	.	PUNCT
fcis-14568	226	14	"	"	PUNCT
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fcis-14568	227	5	(	(	PUNCT
fcis-14568	227	6	2023	2023	NUM
fcis-14568	227	7	):	):	PUNCT
fcis-14568	227	8	102969	102969	NUM
fcis-14568	227	9	.	.	PUNCT
fcis-14568	228	1	[	[	X
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fcis-14568	228	8	chunyang	chunyang	PROPN
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fcis-14568	228	10	,	,	PUNCT
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fcis-14568	228	14	.	.	PUNCT
fcis-14568	229	1	"	"	PUNCT
fcis-14568	229	2	an	an	DET
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fcis-14568	229	9	on	on	ADP
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fcis-14568	229	11	algorithm	algorithm	NOUN
fcis-14568	229	12	.	.	PUNCT
fcis-14568	229	13	"	"	PUNCT
fcis-14568	230	1	artificial	artificial	ADJ
fcis-14568	230	2	intelligence	intelligence	NOUN
fcis-14568	230	3	review	review	NOUN
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fcis-14568	230	5	(	(	PUNCT
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fcis-14568	230	7	):	):	PUNCT
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fcis-14568	230	9	-	-	SYM
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fcis-14568	230	11	.	.	PUNCT
fcis-14568	231	1	[	[	X
fcis-14568	231	2	5	5	NUM
fcis-14568	231	3	]	]	PUNCT
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fcis-14568	231	5	,	,	PUNCT
fcis-14568	231	6	laith	laith	PROPN
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fcis-14568	232	1	"	"	PUNCT
fcis-14568	232	2	review	review	NOUN
fcis-14568	232	3	of	of	ADP
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fcis-14568	232	6	:	:	PUNCT
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fcis-14568	232	8	,	,	PUNCT
fcis-14568	232	9	cnn	cnn	PROPN
fcis-14568	232	10	architectures	architecture	NOUN
fcis-14568	232	11	,	,	PUNCT
fcis-14568	232	12	challenges	challenge	NOUN
fcis-14568	232	13	,	,	PUNCT
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fcis-14568	232	15	,	,	PUNCT
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fcis-14568	232	17	directions	direction	NOUN
fcis-14568	232	18	.	.	PUNCT
fcis-14568	232	19	"	"	PUNCT
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fcis-14568	233	4	data	datum	NOUN
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fcis-14568	233	6	(	(	PUNCT
fcis-14568	233	7	2021	2021	NUM
fcis-14568	233	8	):	):	PUNCT
fcis-14568	233	9	1	1	NUM
fcis-14568	233	10	-	-	SYM
fcis-14568	233	11	74	74	NUM
fcis-14568	233	12	.	.	PUNCT
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fcis-14568	234	1	[	[	SYM
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fcis-14568	234	5	,	,	PUNCT
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fcis-14568	235	1	"	"	PUNCT
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fcis-14568	235	7	(	(	PUNCT
fcis-14568	235	8	rnn	rnn	PROPN
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fcis-14568	235	13	-	-	PUNCT
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fcis-14568	235	16	(	(	PUNCT
fcis-14568	235	17	lstm	lstm	NOUN
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fcis-14568	235	19	network	network	NOUN
fcis-14568	235	20	.	.	PUNCT
fcis-14568	236	1	"physica	"physica	PUNCT
fcis-14568	237	1	d	d	NOUN
fcis-14568	237	2	:	:	PUNCT
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fcis-14568	237	6	(	(	PUNCT
fcis-14568	237	7	2020	2020	NUM
fcis-14568	237	8	):	):	PUNCT
fcis-14568	237	9	132306	132306	NUM
fcis-14568	237	10	.	.	PUNCT
fcis-14568	238	1	[	[	X
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fcis-14568	238	3	]	]	X
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fcis-14568	238	7	,	,	PUNCT
fcis-14568	238	8	et	et	PROPN
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fcis-14568	238	10	.	.	PUNCT
fcis-14568	239	1	"	"	PUNCT
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fcis-14568	239	11	-	-	PUNCT
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fcis-14568	239	14	cnn	cnn	PROPN
fcis-14568	239	15	.	.	PUNCT
fcis-14568	239	16	"	"	PUNCT
fcis-14568	240	1	expert	expert	ADJ
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fcis-14568	240	6	(	(	PUNCT
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fcis-14568	240	8	):	):	PUNCT
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fcis-14568	240	10	-	-	SYM
fcis-14568	240	11	230	230	NUM
fcis-14568	240	12	.	.	PUNCT
fcis-14568	241	1	[	[	X
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fcis-14568	241	24	.	.	PUNCT
fcis-14568	241	25	"	"	PUNCT
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fcis-14568	242	4	(	(	PUNCT
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fcis-14568	242	6	):	):	PUNCT
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fcis-14568	242	8	-	-	SYM
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fcis-14568	242	10	.	.	PUNCT
fcis-14568	243	1	[	[	X
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fcis-14568	243	11	.	.	PUNCT
fcis-14568	244	1	"	"	PUNCT
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fcis-14568	244	4	based	base	VERB
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fcis-14568	244	6	:	:	PUNCT
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fcis-14568	244	16	.	.	PUNCT
fcis-14568	244	17	"	"	PUNCT
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fcis-14568	245	4	(	(	PUNCT
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fcis-14568	245	6	):	):	PUNCT
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fcis-14568	245	8	.	.	PUNCT
fcis-14568	246	1	[	[	X
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fcis-14568	246	3	]	]	PUNCT
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fcis-14568	247	1	"	"	PUNCT
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fcis-14568	247	5	:	:	PUNCT
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fcis-14568	247	12	-	-	PUNCT
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fcis-14568	247	18	"	"	PUNCT
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fcis-14568	248	6	(	(	PUNCT
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fcis-14568	248	8	):	):	PUNCT
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fcis-14568	248	10	-	-	SYM
fcis-14568	248	11	196	196	NUM
fcis-14568	248	12	.	.	PUNCT
fcis-14568	249	1	[	[	X
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fcis-14568	250	1	"	"	PUNCT
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fcis-14568	250	12	.	.	PUNCT
fcis-14568	250	13	"	"	PUNCT
fcis-14568	251	1	systems	systems	PROPN
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fcis-14568	251	7	(	(	PUNCT
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fcis-14568	251	9	):	):	PUNCT
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fcis-14568	251	11	-	-	SYM
fcis-14568	251	12	34	34	NUM
fcis-14568	251	13	.	.	PUNCT