id	sid	tid	token	lemma	pos
fbem-14591	1	1	frontiers	frontier	NOUN
fbem-14591	1	2	in	in	ADP
fbem-14591	1	3	business	business	NOUN
fbem-14591	1	4	,	,	PUNCT
fbem-14591	1	5	economics	economic	NOUN
fbem-14591	1	6	and	and	CCONJ
fbem-14591	1	7	management	management	NOUN
fbem-14591	1	8	issn	issn	PROPN
fbem-14591	1	9	:	:	PUNCT
fbem-14591	1	10	2766	2766	NUM
fbem-14591	1	11	-	-	PUNCT
fbem-14591	1	12	824x	824x	NUM
fbem-14591	1	13	|	|	ADJ
fbem-14591	1	14	vol	vol	NOUN
fbem-14591	1	15	.	.	PROPN
fbem-14591	2	1	12	12	NUM
fbem-14591	2	2	,	,	PUNCT
fbem-14591	2	3	no	no	INTJ
fbem-14591	2	4	.	.	NOUN
fbem-14591	2	5	2	2	NUM
fbem-14591	2	6	,	,	PUNCT
fbem-14591	2	7	2023	2023	NUM
fbem-14591	2	8	36	36	NUM
fbem-14591	2	9	strategy	strategy	NOUN
fbem-14591	2	10	analysis	analysis	NOUN
fbem-14591	2	11	of	of	ADP
fbem-14591	2	12	financial	financial	ADJ
fbem-14591	2	13	neural	neural	ADJ
fbem-14591	2	14	network	network	NOUN
fbem-14591	2	15	model	model	NOUN
fbem-14591	2	16	in	in	ADP
fbem-14591	2	17	bond	bond	NOUN
fbem-14591	2	18	investment	investment	NOUN
fbem-14591	2	19	prediction	prediction	NOUN
fbem-14591	2	20	yingying	yingying	PROPN
fbem-14591	2	21	li	li	PROPN
fbem-14591	3	1	the	the	DET
fbem-14591	3	2	ohio	ohio	PROPN
fbem-14591	3	3	state	state	PROPN
fbem-14591	3	4	university	university	PROPN
fbem-14591	3	5	,	,	PUNCT
fbem-14591	3	6	columbus	columbus	PROPN
fbem-14591	3	7	,	,	PUNCT
fbem-14591	3	8	ohio	ohio	PROPN
fbem-14591	3	9	,	,	PUNCT
fbem-14591	3	10	usa	usa	PROPN
fbem-14591	3	11	abstract	abstract	PROPN
fbem-14591	3	12	:	:	PUNCT
fbem-14591	3	13	in	in	ADP
fbem-14591	3	14	the	the	DET
fbem-14591	3	15	diversified	diversified	ADJ
fbem-14591	3	16	and	and	CCONJ
fbem-14591	3	17	complex	complex	ADJ
fbem-14591	3	18	environment	environment	NOUN
fbem-14591	3	19	of	of	ADP
fbem-14591	3	20	financial	financial	ADJ
fbem-14591	3	21	markets	market	NOUN
fbem-14591	3	22	,	,	PUNCT
fbem-14591	3	23	effective	effective	ADJ
fbem-14591	3	24	investment	investment	NOUN
fbem-14591	3	25	strategy	strategy	NOUN
fbem-14591	3	26	prediction	prediction	NOUN
fbem-14591	3	27	has	have	AUX
fbem-14591	3	28	become	become	VERB
fbem-14591	3	29	particularly	particularly	ADV
fbem-14591	3	30	crucial	crucial	ADJ
fbem-14591	3	31	.	.	PUNCT
fbem-14591	4	1	especially	especially	ADV
fbem-14591	4	2	in	in	ADP
fbem-14591	4	3	the	the	DET
fbem-14591	4	4	bond	bond	NOUN
fbem-14591	4	5	market	market	NOUN
fbem-14591	4	6	,	,	PUNCT
fbem-14591	4	7	due	due	ADP
fbem-14591	4	8	to	to	ADP
fbem-14591	4	9	its	its	PRON
fbem-14591	4	10	close	close	ADJ
fbem-14591	4	11	connection	connection	NOUN
fbem-14591	4	12	with	with	ADP
fbem-14591	4	13	macroeconomic	macroeconomic	ADJ
fbem-14591	4	14	factors	factor	NOUN
fbem-14591	4	15	,	,	PUNCT
fbem-14591	4	16	the	the	DET
fbem-14591	4	17	accuracy	accuracy	NOUN
fbem-14591	4	18	of	of	ADP
fbem-14591	4	19	predictions	prediction	NOUN
fbem-14591	4	20	is	be	AUX
fbem-14591	4	21	of	of	ADP
fbem-14591	4	22	great	great	ADJ
fbem-14591	4	23	significance	significance	NOUN
fbem-14591	4	24	for	for	ADP
fbem-14591	4	25	investment	investment	NOUN
fbem-14591	4	26	returns	return	NOUN
fbem-14591	4	27	and	and	CCONJ
fbem-14591	4	28	risk	risk	NOUN
fbem-14591	4	29	management	management	NOUN
fbem-14591	4	30	.	.	PUNCT
fbem-14591	5	1	this	this	DET
fbem-14591	5	2	article	article	NOUN
fbem-14591	5	3	delves	delve	VERB
fbem-14591	5	4	into	into	ADP
fbem-14591	5	5	the	the	DET
fbem-14591	5	6	application	application	NOUN
fbem-14591	5	7	and	and	CCONJ
fbem-14591	5	8	strategic	strategic	ADJ
fbem-14591	5	9	analysis	analysis	NOUN
fbem-14591	5	10	of	of	ADP
fbem-14591	5	11	financial	financial	ADJ
fbem-14591	5	12	neural	neural	ADJ
fbem-14591	5	13	network	network	NOUN
fbem-14591	5	14	models	model	NOUN
fbem-14591	5	15	in	in	ADP
fbem-14591	5	16	bond	bond	NOUN
fbem-14591	5	17	investment	investment	NOUN
fbem-14591	5	18	prediction	prediction	NOUN
fbem-14591	5	19	.	.	PUNCT
fbem-14591	6	1	we	we	PRON
fbem-14591	6	2	first	first	ADV
fbem-14591	6	3	reviewed	review	VERB
fbem-14591	6	4	the	the	DET
fbem-14591	6	5	basic	basic	ADJ
fbem-14591	6	6	architecture	architecture	NOUN
fbem-14591	6	7	of	of	ADP
fbem-14591	6	8	financial	financial	ADJ
fbem-14591	6	9	neural	neural	ADJ
fbem-14591	6	10	network	network	NOUN
fbem-14591	6	11	models	model	NOUN
fbem-14591	6	12	and	and	CCONJ
fbem-14591	6	13	emphasized	emphasize	VERB
fbem-14591	6	14	their	their	PRON
fbem-14591	6	15	advantages	advantage	NOUN
fbem-14591	6	16	in	in	ADP
fbem-14591	6	17	capturing	capture	VERB
fbem-14591	6	18	nonlinear	nonlinear	ADJ
fbem-14591	6	19	market	market	NOUN
fbem-14591	6	20	dynamics	dynamic	NOUN
fbem-14591	6	21	.	.	PUNCT
fbem-14591	7	1	then	then	ADV
fbem-14591	7	2	,	,	PUNCT
fbem-14591	7	3	we	we	PRON
fbem-14591	7	4	describe	describe	VERB
fbem-14591	7	5	in	in	ADP
fbem-14591	7	6	detail	detail	NOUN
fbem-14591	7	7	how	how	SCONJ
fbem-14591	7	8	to	to	PART
fbem-14591	7	9	use	use	VERB
fbem-14591	7	10	this	this	DET
fbem-14591	7	11	model	model	NOUN
fbem-14591	7	12	to	to	PART
fbem-14591	7	13	predict	predict	VERB
fbem-14591	7	14	the	the	DET
fbem-14591	7	15	bond	bond	NOUN
fbem-14591	7	16	market	market	NOUN
fbem-14591	7	17	,	,	PUNCT
fbem-14591	7	18	including	include	VERB
fbem-14591	7	19	the	the	DET
fbem-14591	7	20	impact	impact	NOUN
fbem-14591	7	21	of	of	ADP
fbem-14591	7	22	interest	interest	NOUN
fbem-14591	7	23	rate	rate	NOUN
fbem-14591	7	24	changes	change	NOUN
fbem-14591	7	25	,	,	PUNCT
fbem-14591	7	26	credit	credit	NOUN
fbem-14591	7	27	risk	risk	NOUN
fbem-14591	7	28	and	and	CCONJ
fbem-14591	7	29	macroeconomic	macroeconomic	ADJ
fbem-14591	7	30	factors	factor	NOUN
fbem-14591	7	31	.	.	PUNCT
fbem-14591	8	1	furthermore	furthermore	ADV
fbem-14591	8	2	,	,	PUNCT
fbem-14591	8	3	we	we	PRON
fbem-14591	8	4	propose	propose	VERB
fbem-14591	8	5	a	a	DET
fbem-14591	8	6	bond	bond	NOUN
fbem-14591	8	7	investment	investment	NOUN
fbem-14591	8	8	strategy	strategy	NOUN
fbem-14591	8	9	framework	framework	NOUN
fbem-14591	8	10	based	base	VERB
fbem-14591	8	11	on	on	ADP
fbem-14591	8	12	neural	neural	ADJ
fbem-14591	8	13	network	network	NOUN
fbem-14591	8	14	prediction	prediction	NOUN
fbem-14591	8	15	.	.	PUNCT
fbem-14591	9	1	this	this	DET
fbem-14591	9	2	framework	framework	NOUN
fbem-14591	9	3	considers	consider	VERB
fbem-14591	9	4	various	various	ADJ
fbem-14591	9	5	factors	factor	NOUN
fbem-14591	9	6	such	such	ADJ
fbem-14591	9	7	as	as	ADP
fbem-14591	9	8	market	market	NOUN
fbem-14591	9	9	liquidity	liquidity	NOUN
fbem-14591	9	10	,	,	PUNCT
fbem-14591	9	11	bond	bond	NOUN
fbem-14591	9	12	duration	duration	NOUN
fbem-14591	9	13	,	,	PUNCT
fbem-14591	9	14	and	and	CCONJ
fbem-14591	9	15	credit	credit	NOUN
fbem-14591	9	16	rating	rating	NOUN
fbem-14591	9	17	to	to	PART
fbem-14591	9	18	optimize	optimize	VERB
fbem-14591	9	19	the	the	DET
fbem-14591	9	20	returns	return	NOUN
fbem-14591	9	21	and	and	CCONJ
fbem-14591	9	22	risks	risk	NOUN
fbem-14591	9	23	of	of	ADP
fbem-14591	9	24	investment	investment	NOUN
fbem-14591	9	25	portfolios	portfolio	NOUN
fbem-14591	9	26	.	.	PUNCT
fbem-14591	10	1	with	with	ADP
fbem-14591	10	2	the	the	DET
fbem-14591	10	3	further	further	ADJ
fbem-14591	10	4	development	development	NOUN
fbem-14591	10	5	of	of	ADP
fbem-14591	10	6	deep	deep	ADJ
fbem-14591	10	7	learning	learning	NOUN
fbem-14591	10	8	and	and	CCONJ
fbem-14591	10	9	neural	neural	ADJ
fbem-14591	10	10	network	network	NOUN
fbem-14591	10	11	technology	technology	NOUN
fbem-14591	10	12	in	in	ADP
fbem-14591	10	13	the	the	DET
fbem-14591	10	14	financial	financial	ADJ
fbem-14591	10	15	field	field	NOUN
fbem-14591	10	16	,	,	PUNCT
fbem-14591	10	17	its	its	PRON
fbem-14591	10	18	application	application	NOUN
fbem-14591	10	19	potential	potential	NOUN
fbem-14591	10	20	in	in	ADP
fbem-14591	10	21	bond	bond	NOUN
fbem-14591	10	22	market	market	NOUN
fbem-14591	10	23	prediction	prediction	NOUN
fbem-14591	10	24	and	and	CCONJ
fbem-14591	10	25	strategy	strategy	NOUN
fbem-14591	10	26	formulation	formulation	NOUN
fbem-14591	10	27	will	will	AUX
fbem-14591	10	28	be	be	AUX
fbem-14591	10	29	more	more	ADV
fbem-14591	10	30	widely	widely	ADV
fbem-14591	10	31	recognized	recognize	VERB
fbem-14591	10	32	and	and	CCONJ
fbem-14591	10	33	utilized	utilize	VERB
fbem-14591	10	34	.	.	PUNCT
fbem-14591	11	1	keywords	keyword	NOUN
fbem-14591	11	2	:	:	PUNCT
fbem-14591	11	3	financial	financial	ADJ
fbem-14591	11	4	neural	neural	ADJ
fbem-14591	11	5	network	network	NOUN
fbem-14591	11	6	model	model	NOUN
fbem-14591	11	7	,	,	PUNCT
fbem-14591	11	8	bond	bond	NOUN
fbem-14591	11	9	investment	investment	NOUN
fbem-14591	11	10	,	,	PUNCT
fbem-14591	11	11	prediction	prediction	NOUN
fbem-14591	11	12	,	,	PUNCT
fbem-14591	11	13	strategy	strategy	NOUN
fbem-14591	11	14	analysis	analysis	NOUN
fbem-14591	11	15	.	.	PUNCT
fbem-14591	12	1	1	1	X
fbem-14591	12	2	.	.	X
fbem-14591	12	3	introduction	introduction	NOUN
fbem-14591	12	4	with	with	ADP
fbem-14591	12	5	the	the	DET
fbem-14591	12	6	advent	advent	NOUN
fbem-14591	12	7	of	of	ADP
fbem-14591	12	8	the	the	DET
fbem-14591	12	9	digital	digital	ADJ
fbem-14591	12	10	age	age	NOUN
fbem-14591	12	11	,	,	PUNCT
fbem-14591	12	12	a	a	DET
fbem-14591	12	13	large	large	ADJ
fbem-14591	12	14	number	number	NOUN
fbem-14591	12	15	of	of	ADP
fbem-14591	12	16	data	datum	NOUN
fbem-14591	12	17	are	be	AUX
fbem-14591	12	18	generated	generate	VERB
fbem-14591	12	19	and	and	CCONJ
fbem-14591	12	20	collected	collect	VERB
fbem-14591	12	21	in	in	ADP
fbem-14591	12	22	various	various	ADJ
fbem-14591	12	23	fields	field	NOUN
fbem-14591	12	24	,	,	PUNCT
fbem-14591	12	25	especially	especially	ADV
fbem-14591	12	26	in	in	ADP
fbem-14591	12	27	the	the	DET
fbem-14591	12	28	fields	field	NOUN
fbem-14591	12	29	of	of	ADP
fbem-14591	12	30	images	image	NOUN
fbem-14591	12	31	and	and	CCONJ
fbem-14591	12	32	videos	video	NOUN
fbem-14591	12	33	.	.	PUNCT
fbem-14591	13	1	in	in	ADP
fbem-14591	13	2	order	order	NOUN
fbem-14591	13	3	to	to	PART
fbem-14591	13	4	understand	understand	VERB
fbem-14591	13	5	,	,	PUNCT
fbem-14591	13	6	analyze	analyze	VERB
fbem-14591	13	7	and	and	CCONJ
fbem-14591	13	8	utilize	utilize	VERB
fbem-14591	13	9	these	these	DET
fbem-14591	13	10	data	datum	NOUN
fbem-14591	13	11	,	,	PUNCT
fbem-14591	13	12	powerful	powerful	ADJ
fbem-14591	13	13	algorithm	algorithm	NOUN
fbem-14591	13	14	tools	tool	NOUN
fbem-14591	13	15	and	and	CCONJ
fbem-14591	13	16	models	model	NOUN
fbem-14591	13	17	are	be	AUX
fbem-14591	13	18	needed	need	VERB
fbem-14591	13	19	.	.	PUNCT
fbem-14591	14	1	among	among	ADP
fbem-14591	14	2	them	they	PRON
fbem-14591	14	3	,	,	PUNCT
fbem-14591	14	4	cnn	cnn	PROPN
fbem-14591	14	5	(	(	PUNCT
fbem-14591	14	6	involuntary	involuntary	ADJ
fbem-14591	14	7	neural	neural	ADJ
fbem-14591	14	8	networks	network	NOUN
fbem-14591	14	9	)	)	PUNCT
fbem-14591	14	10	has	have	AUX
fbem-14591	14	11	made	make	VERB
fbem-14591	14	12	its	its	PRON
fbem-14591	14	13	mark	mark	NOUN
fbem-14591	14	14	in	in	ADP
fbem-14591	14	15	this	this	DET
fbem-14591	14	16	respect	respect	NOUN
fbem-14591	14	17	,	,	PUNCT
fbem-14591	14	18	providing	provide	VERB
fbem-14591	14	19	revolutionary	revolutionary	ADJ
fbem-14591	14	20	improvements	improvement	NOUN
fbem-14591	14	21	for	for	ADP
fbem-14591	14	22	computer	computer	NOUN
fbem-14591	14	23	vision	vision	NOUN
fbem-14591	14	24	,	,	PUNCT
fbem-14591	14	25	medical	medical	ADJ
fbem-14591	14	26	image	image	NOUN
fbem-14591	14	27	processing	processing	NOUN
fbem-14591	14	28	,	,	PUNCT
fbem-14591	14	29	video	video	NOUN
fbem-14591	14	30	analysis	analysis	NOUN
fbem-14591	14	31	and	and	CCONJ
fbem-14591	14	32	many	many	ADJ
fbem-14591	14	33	other	other	ADJ
fbem-14591	14	34	applications	application	NOUN
fbem-14591	14	35	.	.	PUNCT
fbem-14591	15	1	in	in	ADP
fbem-14591	15	2	the	the	DET
fbem-14591	15	3	past	past	ADJ
fbem-14591	15	4	decade	decade	NOUN
fbem-14591	15	5	,	,	PUNCT
fbem-14591	15	6	with	with	ADP
fbem-14591	15	7	the	the	DET
fbem-14591	15	8	popularity	popularity	NOUN
fbem-14591	15	9	of	of	ADP
fbem-14591	15	10	social	social	ADJ
fbem-14591	15	11	media	medium	NOUN
fbem-14591	15	12	,	,	PUNCT
fbem-14591	15	13	mobile	mobile	ADJ
fbem-14591	15	14	devices	device	NOUN
fbem-14591	15	15	and	and	CCONJ
fbem-14591	15	16	the	the	DET
fbem-14591	15	17	internet	internet	NOUN
fbem-14591	15	18	of	of	ADP
fbem-14591	15	19	things	thing	NOUN
fbem-14591	15	20	,	,	PUNCT
fbem-14591	15	21	we	we	PRON
fbem-14591	15	22	have	have	AUX
fbem-14591	15	23	witnessed	witness	VERB
fbem-14591	15	24	the	the	DET
fbem-14591	15	25	explosive	explosive	ADJ
fbem-14591	15	26	growth	growth	NOUN
fbem-14591	15	27	of	of	ADP
fbem-14591	15	28	data	datum	NOUN
fbem-14591	15	29	,	,	PUNCT
fbem-14591	15	30	especially	especially	ADV
fbem-14591	15	31	in	in	ADP
fbem-14591	15	32	image	image	NOUN
fbem-14591	15	33	and	and	CCONJ
fbem-14591	15	34	video	video	NOUN
fbem-14591	15	35	content	content	NOUN
fbem-14591	15	36	,	,	PUNCT
fbem-14591	15	37	with	with	ADP
fbem-14591	15	38	billions	billion	NOUN
fbem-14591	15	39	of	of	ADP
fbem-14591	15	40	new	new	ADJ
fbem-14591	15	41	content	content	NOUN
fbem-14591	15	42	uploaded	upload	VERB
fbem-14591	15	43	to	to	ADP
fbem-14591	15	44	the	the	DET
fbem-14591	15	45	network	network	NOUN
fbem-14591	15	46	every	every	DET
fbem-14591	15	47	day	day	NOUN
fbem-14591	15	48	[	[	X
fbem-14591	15	49	1	1	NUM
fbem-14591	15	50	]	]	PUNCT
fbem-14591	15	51	.	.	PUNCT
fbem-14591	16	1	this	this	DET
fbem-14591	16	2	data	data	NOUN
fbem-14591	16	3	growth	growth	NOUN
fbem-14591	16	4	brings	bring	VERB
fbem-14591	16	5	new	new	ADJ
fbem-14591	16	6	opportunities	opportunity	NOUN
fbem-14591	16	7	,	,	PUNCT
fbem-14591	16	8	but	but	CCONJ
fbem-14591	16	9	it	it	PRON
fbem-14591	16	10	also	also	ADV
fbem-14591	16	11	poses	pose	VERB
fbem-14591	16	12	new	new	ADJ
fbem-14591	16	13	challenges	challenge	NOUN
fbem-14591	16	14	:	:	PUNCT
fbem-14591	16	15	how	how	SCONJ
fbem-14591	16	16	to	to	PART
fbem-14591	16	17	extract	extract	VERB
fbem-14591	16	18	meaningful	meaningful	ADJ
fbem-14591	16	19	information	information	NOUN
fbem-14591	16	20	and	and	CCONJ
fbem-14591	16	21	knowledge	knowledge	NOUN
fbem-14591	16	22	from	from	ADP
fbem-14591	16	23	these	these	DET
fbem-14591	16	24	data	datum	NOUN
fbem-14591	16	25	.	.	PUNCT
fbem-14591	17	1	before	before	ADP
fbem-14591	17	2	deep	deep	ADJ
fbem-14591	17	3	learning	learning	NOUN
fbem-14591	17	4	and	and	CCONJ
fbem-14591	17	5	cnn	cnn	PROPN
fbem-14591	17	6	became	become	VERB
fbem-14591	17	7	the	the	DET
fbem-14591	17	8	mainstream	mainstream	NOUN
fbem-14591	17	9	,	,	PUNCT
fbem-14591	17	10	image	image	NOUN
fbem-14591	17	11	and	and	CCONJ
fbem-14591	17	12	video	video	NOUN
fbem-14591	17	13	analysis	analysis	NOUN
fbem-14591	17	14	mainly	mainly	ADV
fbem-14591	17	15	relied	rely	VERB
fbem-14591	17	16	on	on	ADP
fbem-14591	17	17	traditional	traditional	ADJ
fbem-14591	17	18	machine	machine	NOUN
fbem-14591	17	19	vision	vision	NOUN
fbem-14591	17	20	technology	technology	NOUN
fbem-14591	18	1	[	[	X
fbem-14591	18	2	2	2	NUM
fbem-14591	18	3	]	]	PUNCT
fbem-14591	18	4	.	.	PUNCT
fbem-14591	19	1	they	they	PRON
fbem-14591	19	2	are	be	AUX
fbem-14591	19	3	effective	effective	ADJ
fbem-14591	19	4	in	in	ADP
fbem-14591	19	5	some	some	DET
fbem-14591	19	6	cases	case	NOUN
fbem-14591	19	7	,	,	PUNCT
fbem-14591	19	8	but	but	CCONJ
fbem-14591	19	9	usually	usually	ADV
fbem-14591	19	10	require	require	VERB
fbem-14591	19	11	a	a	DET
fbem-14591	19	12	lot	lot	NOUN
fbem-14591	19	13	of	of	ADP
fbem-14591	19	14	engineering	engineering	NOUN
fbem-14591	19	15	and	and	CCONJ
fbem-14591	19	16	domain	domain	NOUN
fbem-14591	19	17	knowledge	knowledge	NOUN
fbem-14591	19	18	.	.	PUNCT
fbem-14591	20	1	more	more	ADV
fbem-14591	20	2	importantly	importantly	ADV
fbem-14591	20	3	,	,	PUNCT
fbem-14591	20	4	they	they	PRON
fbem-14591	20	5	are	be	AUX
fbem-14591	20	6	often	often	ADV
fbem-14591	20	7	unable	unable	ADJ
fbem-14591	20	8	to	to	PART
fbem-14591	20	9	cope	cope	VERB
fbem-14591	20	10	with	with	ADP
fbem-14591	20	11	complex	complex	ADJ
fbem-14591	20	12	and	and	CCONJ
fbem-14591	20	13	changeable	changeable	ADJ
fbem-14591	20	14	real	real	ADJ
fbem-14591	20	15	-	-	PUNCT
fbem-14591	20	16	world	world	NOUN
fbem-14591	20	17	data	datum	NOUN
fbem-14591	20	18	[	[	X
fbem-14591	20	19	3	3	NUM
fbem-14591	20	20	]	]	PUNCT
fbem-14591	20	21	.	.	PUNCT
fbem-14591	21	1	deep	deep	ADJ
fbem-14591	21	2	learning	learning	NOUN
fbem-14591	21	3	provides	provide	VERB
fbem-14591	21	4	us	we	PRON
fbem-14591	21	5	with	with	ADP
fbem-14591	21	6	a	a	DET
fbem-14591	21	7	brand	brand	NOUN
fbem-14591	21	8	-	-	PUNCT
fbem-14591	21	9	new	new	ADJ
fbem-14591	21	10	method	method	NOUN
fbem-14591	21	11	to	to	PART
fbem-14591	21	12	process	process	VERB
fbem-14591	21	13	image	image	NOUN
fbem-14591	21	14	and	and	CCONJ
fbem-14591	21	15	video	video	NOUN
fbem-14591	21	16	data	datum	NOUN
fbem-14591	21	17	.	.	PUNCT
fbem-14591	22	1	different	different	ADJ
fbem-14591	22	2	from	from	ADP
fbem-14591	22	3	the	the	DET
fbem-14591	22	4	traditional	traditional	ADJ
fbem-14591	22	5	methods	method	NOUN
fbem-14591	22	6	,	,	PUNCT
fbem-14591	22	7	the	the	DET
fbem-14591	22	8	deep	deep	ADJ
fbem-14591	22	9	learning	learning	NOUN
fbem-14591	22	10	model	model	NOUN
fbem-14591	22	11	can	can	AUX
fbem-14591	22	12	automatically	automatically	ADV
fbem-14591	22	13	learn	learn	VERB
fbem-14591	22	14	useful	useful	ADJ
fbem-14591	22	15	features	feature	NOUN
fbem-14591	22	16	from	from	ADP
fbem-14591	22	17	the	the	DET
fbem-14591	22	18	original	original	ADJ
fbem-14591	22	19	data	datum	NOUN
fbem-14591	22	20	,	,	PUNCT
fbem-14591	22	21	which	which	PRON
fbem-14591	22	22	means	mean	VERB
fbem-14591	22	23	that	that	SCONJ
fbem-14591	22	24	it	it	PRON
fbem-14591	22	25	is	be	AUX
fbem-14591	22	26	no	no	ADV
fbem-14591	22	27	longer	long	ADV
fbem-14591	22	28	necessary	necessary	ADJ
fbem-14591	22	29	to	to	PART
fbem-14591	22	30	design	design	VERB
fbem-14591	22	31	and	and	CCONJ
fbem-14591	22	32	select	select	ADJ
fbem-14591	22	33	features	feature	NOUN
fbem-14591	22	34	manually	manually	ADV
fbem-14591	22	35	,	,	PUNCT
fbem-14591	22	36	and	and	CCONJ
fbem-14591	22	37	the	the	DET
fbem-14591	22	38	model	model	NOUN
fbem-14591	22	39	can	can	AUX
fbem-14591	22	40	automatically	automatically	ADV
fbem-14591	22	41	find	find	VERB
fbem-14591	22	42	the	the	DET
fbem-14591	22	43	most	most	ADV
fbem-14591	22	44	useful	useful	ADJ
fbem-14591	22	45	representation	representation	NOUN
fbem-14591	22	46	from	from	ADP
fbem-14591	22	47	the	the	DET
fbem-14591	22	48	data	datum	NOUN
fbem-14591	22	49	[	[	X
fbem-14591	22	50	4	4	NUM
fbem-14591	22	51	]	]	PUNCT
fbem-14591	22	52	.	.	PUNCT
fbem-14591	23	1	among	among	ADP
fbem-14591	23	2	various	various	ADJ
fbem-14591	23	3	models	model	NOUN
fbem-14591	23	4	of	of	ADP
fbem-14591	23	5	deep	deep	ADJ
fbem-14591	23	6	learning	learning	NOUN
fbem-14591	23	7	,	,	PUNCT
fbem-14591	23	8	cnn	cnn	PROPN
fbem-14591	23	9	stands	stand	VERB
fbem-14591	23	10	out	out	ADP
fbem-14591	23	11	in	in	ADP
fbem-14591	23	12	image	image	NOUN
fbem-14591	23	13	and	and	CCONJ
fbem-14591	23	14	video	video	NOUN
fbem-14591	23	15	analysis	analysis	NOUN
fbem-14591	23	16	because	because	SCONJ
fbem-14591	23	17	of	of	ADP
fbem-14591	23	18	its	its	PRON
fbem-14591	23	19	unique	unique	ADJ
fbem-14591	23	20	structure	structure	NOUN
fbem-14591	23	21	and	and	CCONJ
fbem-14591	23	22	properties	property	NOUN
fbem-14591	23	23	.	.	PUNCT
fbem-14591	24	1	cnn	cnn	PROPN
fbem-14591	24	2	takes	take	VERB
fbem-14591	24	3	advantage	advantage	NOUN
fbem-14591	24	4	of	of	ADP
fbem-14591	24	5	the	the	DET
fbem-14591	24	6	local	local	ADJ
fbem-14591	24	7	nature	nature	NOUN
fbem-14591	24	8	and	and	CCONJ
fbem-14591	24	9	hierarchical	hierarchical	ADJ
fbem-14591	24	10	structure	structure	NOUN
fbem-14591	24	11	of	of	ADP
fbem-14591	24	12	images	image	NOUN
fbem-14591	24	13	,	,	PUNCT
fbem-14591	24	14	and	and	CCONJ
fbem-14591	24	15	extracts	extract	NOUN
fbem-14591	24	16	more	more	ADJ
fbem-14591	24	17	and	and	CCONJ
fbem-14591	24	18	more	more	ADV
fbem-14591	24	19	advanced	advanced	ADJ
fbem-14591	24	20	features	feature	NOUN
fbem-14591	24	21	through	through	ADP
fbem-14591	24	22	multi	multi	ADJ
fbem-14591	24	23	-	-	ADJ
fbem-14591	24	24	layer	layer	ADJ
fbem-14591	24	25	convolution	convolution	NOUN
fbem-14591	24	26	,	,	PUNCT
fbem-14591	24	27	pooling	pooling	NOUN
fbem-14591	24	28	and	and	CCONJ
fbem-14591	24	29	full	full	ADJ
fbem-14591	24	30	connection	connection	NOUN
fbem-14591	24	31	operations	operation	NOUN
fbem-14591	24	32	.	.	PUNCT
fbem-14591	25	1	this	this	DET
fbem-14591	25	2	feature	feature	NOUN
fbem-14591	25	3	learning	learn	VERB
fbem-14591	25	4	method	method	NOUN
fbem-14591	25	5	from	from	ADP
fbem-14591	25	6	low	low	ADJ
fbem-14591	25	7	to	to	ADP
fbem-14591	25	8	high	high	ADJ
fbem-14591	25	9	makes	make	VERB
fbem-14591	25	10	cnn	cnn	PROPN
fbem-14591	25	11	achieve	achieve	VERB
fbem-14591	25	12	unprecedented	unprecedented	ADJ
fbem-14591	25	13	success	success	NOUN
fbem-14591	25	14	in	in	ADP
fbem-14591	25	15	various	various	ADJ
fbem-14591	25	16	visual	visual	ADJ
fbem-14591	25	17	tasks	task	NOUN
fbem-14591	25	18	[	[	X
fbem-14591	25	19	5	5	NUM
fbem-14591	25	20	]	]	PUNCT
fbem-14591	25	21	.	.	PUNCT
fbem-14591	26	1	in	in	ADP
fbem-14591	26	2	this	this	DET
fbem-14591	26	3	paper	paper	NOUN
fbem-14591	26	4	,	,	PUNCT
fbem-14591	26	5	we	we	PRON
fbem-14591	26	6	will	will	AUX
fbem-14591	26	7	deeply	deeply	ADV
fbem-14591	26	8	discuss	discuss	VERB
fbem-14591	26	9	the	the	DET
fbem-14591	26	10	core	core	NOUN
fbem-14591	26	11	principle	principle	NOUN
fbem-14591	26	12	,	,	PUNCT
fbem-14591	26	13	structure	structure	NOUN
fbem-14591	26	14	and	and	CCONJ
fbem-14591	26	15	application	application	NOUN
fbem-14591	26	16	of	of	ADP
fbem-14591	26	17	cnn	cnn	PROPN
fbem-14591	26	18	.	.	PUNCT
fbem-14591	27	1	we	we	PRON
fbem-14591	27	2	will	will	AUX
fbem-14591	27	3	first	first	ADV
fbem-14591	27	4	introduce	introduce	VERB
fbem-14591	27	5	the	the	DET
fbem-14591	27	6	basic	basic	ADJ
fbem-14591	27	7	concepts	concept	NOUN
fbem-14591	27	8	and	and	CCONJ
fbem-14591	27	9	components	component	NOUN
fbem-14591	27	10	of	of	ADP
fbem-14591	27	11	cnn	cnn	PROPN
fbem-14591	27	12	,	,	PUNCT
fbem-14591	27	13	and	and	CCONJ
fbem-14591	27	14	then	then	ADV
fbem-14591	27	15	discuss	discuss	VERB
fbem-14591	27	16	its	its	PRON
fbem-14591	27	17	application	application	NOUN
fbem-14591	27	18	and	and	CCONJ
fbem-14591	27	19	influence	influence	NOUN
fbem-14591	27	20	in	in	ADP
fbem-14591	27	21	computer	computer	NOUN
fbem-14591	27	22	vision	vision	NOUN
fbem-14591	27	23	[	[	X
fbem-14591	27	24	6	6	NUM
fbem-14591	27	25	]	]	PUNCT
fbem-14591	27	26	.	.	PUNCT
fbem-14591	28	1	in	in	ADP
fbem-14591	28	2	addition	addition	NOUN
fbem-14591	28	3	,	,	PUNCT
fbem-14591	28	4	we	we	PRON
fbem-14591	28	5	will	will	AUX
fbem-14591	28	6	also	also	ADV
fbem-14591	28	7	discuss	discuss	VERB
fbem-14591	28	8	the	the	DET
fbem-14591	28	9	latest	late	ADJ
fbem-14591	28	10	progress	progress	NOUN
fbem-14591	28	11	and	and	CCONJ
fbem-14591	28	12	research	research	NOUN
fbem-14591	28	13	trends	trend	NOUN
fbem-14591	28	14	of	of	ADP
fbem-14591	28	15	cnn	cnn	PROPN
fbem-14591	28	16	,	,	PUNCT
fbem-14591	28	17	and	and	CCONJ
fbem-14591	28	18	how	how	SCONJ
fbem-14591	28	19	to	to	PART
fbem-14591	28	20	effectively	effectively	ADV
fbem-14591	28	21	apply	apply	VERB
fbem-14591	28	22	this	this	DET
fbem-14591	28	23	model	model	NOUN
fbem-14591	28	24	in	in	ADP
fbem-14591	28	25	practical	practical	ADJ
fbem-14591	28	26	problems	problem	NOUN
fbem-14591	28	27	.	.	PUNCT
fbem-14591	29	1	cnn	cnn	PROPN
fbem-14591	29	2	)	)	PUNCT
fbem-14591	29	3	has	have	AUX
fbem-14591	29	4	completely	completely	ADV
fbem-14591	29	5	changed	change	VERB
fbem-14591	29	6	the	the	DET
fbem-14591	29	7	way	way	NOUN
fbem-14591	29	8	we	we	PRON
fbem-14591	29	9	process	process	VERB
fbem-14591	29	10	and	and	CCONJ
fbem-14591	29	11	analyze	analyze	VERB
fbem-14591	29	12	image	image	NOUN
fbem-14591	29	13	and	and	CCONJ
fbem-14591	29	14	video	video	NOUN
fbem-14591	29	15	data	datum	NOUN
fbem-14591	29	16	.	.	PUNCT
fbem-14591	30	1	it	it	PRON
fbem-14591	30	2	provides	provide	VERB
fbem-14591	30	3	us	we	PRON
fbem-14591	30	4	with	with	ADP
fbem-14591	30	5	a	a	DET
fbem-14591	30	6	powerful	powerful	ADJ
fbem-14591	30	7	,	,	PUNCT
fbem-14591	30	8	flexible	flexible	ADJ
fbem-14591	30	9	and	and	CCONJ
fbem-14591	30	10	efficient	efficient	ADJ
fbem-14591	30	11	tool	tool	NOUN
fbem-14591	30	12	,	,	PUNCT
fbem-14591	30	13	which	which	PRON
fbem-14591	30	14	enables	enable	VERB
fbem-14591	30	15	us	we	PRON
fbem-14591	30	16	to	to	PART
fbem-14591	30	17	extract	extract	VERB
fbem-14591	30	18	valuable	valuable	ADJ
fbem-14591	30	19	information	information	NOUN
fbem-14591	30	20	from	from	ADP
fbem-14591	30	21	a	a	DET
fbem-14591	30	22	large	large	ADJ
fbem-14591	30	23	amount	amount	NOUN
fbem-14591	30	24	of	of	ADP
fbem-14591	30	25	data	datum	NOUN
fbem-14591	30	26	[	[	X
fbem-14591	30	27	7	7	NUM
fbem-14591	30	28	]	]	PUNCT
fbem-14591	30	29	.	.	PUNCT
fbem-14591	31	1	through	through	ADP
fbem-14591	31	2	continuous	continuous	ADJ
fbem-14591	31	3	convolution	convolution	NOUN
fbem-14591	31	4	layer	layer	NOUN
fbem-14591	31	5	and	and	CCONJ
fbem-14591	31	6	pooling	pool	VERB
fbem-14591	31	7	layer	layer	NOUN
fbem-14591	31	8	,	,	PUNCT
fbem-14591	31	9	cnn	cnn	PROPN
fbem-14591	31	10	can	can	AUX
fbem-14591	31	11	extract	extract	VERB
fbem-14591	31	12	important	important	ADJ
fbem-14591	31	13	features	feature	NOUN
fbem-14591	31	14	from	from	ADP
fbem-14591	31	15	the	the	DET
fbem-14591	31	16	original	original	ADJ
fbem-14591	31	17	image	image	NOUN
fbem-14591	31	18	.	.	PUNCT
fbem-14591	32	1	early	early	ADJ
fbem-14591	32	2	layers	layer	NOUN
fbem-14591	32	3	may	may	AUX
fbem-14591	32	4	recognize	recognize	VERB
fbem-14591	32	5	edges	edge	NOUN
fbem-14591	32	6	and	and	CCONJ
fbem-14591	32	7	colors	color	NOUN
fbem-14591	32	8	,	,	PUNCT
fbem-14591	32	9	while	while	SCONJ
fbem-14591	32	10	deeper	deep	ADJ
fbem-14591	32	11	layers	layer	NOUN
fbem-14591	32	12	may	may	AUX
fbem-14591	32	13	recognize	recognize	VERB
fbem-14591	32	14	more	more	ADJ
fbem-14591	32	15	complex	complex	ADJ
fbem-14591	32	16	patterns	pattern	NOUN
fbem-14591	32	17	and	and	CCONJ
fbem-14591	32	18	object	object	VERB
fbem-14591	32	19	parts	part	NOUN
fbem-14591	32	20	.	.	PUNCT
fbem-14591	33	1	after	after	ADP
fbem-14591	33	2	many	many	ADJ
fbem-14591	33	3	convolution	convolution	NOUN
fbem-14591	33	4	and	and	CCONJ
fbem-14591	33	5	pooling	pool	VERB
fbem-14591	33	6	operations	operation	NOUN
fbem-14591	33	7	,	,	PUNCT
fbem-14591	33	8	the	the	DET
fbem-14591	33	9	network	network	NOUN
fbem-14591	33	10	uses	use	VERB
fbem-14591	33	11	the	the	DET
fbem-14591	33	12	fully	fully	ADV
fbem-14591	33	13	connected	connect	VERB
fbem-14591	33	14	layer	layer	NOUN
fbem-14591	33	15	to	to	PART
fbem-14591	33	16	classify	classify	VERB
fbem-14591	33	17	images	image	NOUN
fbem-14591	33	18	or	or	CCONJ
fbem-14591	33	19	other	other	ADJ
fbem-14591	33	20	tasks	task	NOUN
fbem-14591	33	21	.	.	PUNCT
fbem-14591	34	1	with	with	ADP
fbem-14591	34	2	the	the	DET
fbem-14591	34	3	development	development	NOUN
fbem-14591	34	4	of	of	ADP
fbem-14591	34	5	research	research	NOUN
fbem-14591	34	6	and	and	CCONJ
fbem-14591	34	7	technology	technology	NOUN
fbem-14591	34	8	,	,	PUNCT
fbem-14591	34	9	we	we	PRON
fbem-14591	34	10	expect	expect	VERB
fbem-14591	34	11	cnn	cnn	PROPN
fbem-14591	34	12	to	to	PART
fbem-14591	34	13	have	have	VERB
fbem-14591	34	14	more	more	ADJ
fbem-14591	34	15	applications	application	NOUN
fbem-14591	34	16	and	and	CCONJ
fbem-14591	34	17	development	development	NOUN
fbem-14591	34	18	in	in	ADP
fbem-14591	34	19	the	the	DET
fbem-14591	34	20	future	future	NOUN
fbem-14591	34	21	.	.	PUNCT
fbem-14591	35	1	2	2	X
fbem-14591	35	2	.	.	X
fbem-14591	35	3	fundamentals	fundamental	NOUN
fbem-14591	35	4	of	of	ADP
fbem-14591	35	5	neural	neural	ADJ
fbem-14591	35	6	network	network	NOUN
fbem-14591	35	7	models	model	NOUN
fbem-14591	35	8	2.1	2.1	NUM
fbem-14591	35	9	.	.	PUNCT
fbem-14591	36	1	the	the	DET
fbem-14591	36	2	structure	structure	NOUN
fbem-14591	36	3	and	and	CCONJ
fbem-14591	36	4	principles	principle	NOUN
fbem-14591	36	5	of	of	ADP
fbem-14591	36	6	neural	neural	ADJ
fbem-14591	36	7	networks	network	NOUN
fbem-14591	36	8	the	the	DET
fbem-14591	36	9	inspiration	inspiration	NOUN
fbem-14591	36	10	for	for	ADP
fbem-14591	36	11	neural	neural	ADJ
fbem-14591	36	12	network	network	NOUN
fbem-14591	36	13	models	model	NOUN
fbem-14591	36	14	comes	come	VERB
fbem-14591	36	15	from	from	ADP
fbem-14591	36	16	the	the	DET
fbem-14591	36	17	neural	neural	ADJ
fbem-14591	36	18	network	network	NOUN
fbem-14591	36	19	structure	structure	NOUN
fbem-14591	36	20	in	in	ADP
fbem-14591	36	21	the	the	DET
fbem-14591	36	22	human	human	ADJ
fbem-14591	36	23	brain	brain	NOUN
fbem-14591	36	24	.	.	PUNCT
fbem-14591	37	1	a	a	DET
fbem-14591	37	2	basic	basic	ADJ
fbem-14591	37	3	neural	neural	ADJ
fbem-14591	37	4	network	network	NOUN
fbem-14591	37	5	mainly	mainly	ADV
fbem-14591	37	6	consists	consist	VERB
fbem-14591	37	7	of	of	ADP
fbem-14591	37	8	three	three	NUM
fbem-14591	37	9	layers	layer	NOUN
fbem-14591	37	10	:	:	PUNCT
fbem-14591	37	11	input	input	NOUN
fbem-14591	37	12	layer	layer	NOUN
fbem-14591	37	13	,	,	PUNCT
fbem-14591	37	14	hidden	hide	VERB
fbem-14591	37	15	layer	layer	NOUN
fbem-14591	37	16	,	,	PUNCT
fbem-14591	37	17	and	and	CCONJ
fbem-14591	37	18	output	output	NOUN
fbem-14591	37	19	layer	layer	NOUN
fbem-14591	37	20	.	.	PUNCT
fbem-14591	38	1	each	each	DET
fbem-14591	38	2	neuron	neuron	NOUN
fbem-14591	38	3	receives	receive	VERB
fbem-14591	38	4	a	a	DET
fbem-14591	38	5	set	set	NOUN
fbem-14591	38	6	of	of	ADP
fbem-14591	38	7	inputs	input	NOUN
fbem-14591	38	8	,	,	PUNCT
fbem-14591	38	9	which	which	PRON
fbem-14591	38	10	are	be	AUX
fbem-14591	38	11	weighted	weight	VERB
fbem-14591	38	12	and	and	CCONJ
fbem-14591	38	13	summed	sum	VERB
fbem-14591	38	14	using	use	VERB
fbem-14591	38	15	weights	weight	NOUN
fbem-14591	38	16	,	,	PUNCT
fbem-14591	38	17	plus	plus	CCONJ
fbem-14591	38	18	a	a	DET
fbem-14591	38	19	bias	bias	NOUN
fbem-14591	38	20	,	,	PUNCT
fbem-14591	38	21	and	and	CCONJ
fbem-14591	38	22	then	then	ADV
fbem-14591	38	23	passed	pass	VERB
fbem-14591	38	24	to	to	ADP
fbem-14591	38	25	the	the	DET
fbem-14591	38	26	activation	activation	NOUN
fbem-14591	38	27	function	function	NOUN
fbem-14591	38	28	.	.	PUNCT
fbem-14591	39	1	the	the	DET
fbem-14591	39	2	activation	activation	NOUN
fbem-14591	39	3	function	function	NOUN
fbem-14591	39	4	defines	define	VERB
fbem-14591	39	5	the	the	DET
fbem-14591	39	6	output	output	NOUN
fbem-14591	39	7	mode	mode	NOUN
fbem-14591	39	8	of	of	ADP
fbem-14591	39	9	neurons	neuron	NOUN
fbem-14591	39	10	.	.	PUNCT
fbem-14591	40	1	common	common	ADJ
fbem-14591	40	2	activation	activation	NOUN
fbem-14591	40	3	functions	function	NOUN
fbem-14591	40	4	include	include	VERB
fbem-14591	40	5	sigmaid	sigmaid	NOUN
fbem-14591	40	6	,	,	PUNCT
fbem-14591	40	7	relu	relu	NOUN
fbem-14591	40	8	(	(	PUNCT
fbem-14591	40	9	corrected	correct	VERB
fbem-14591	40	10	linear	linear	PROPN
fbem-14591	40	11	unit	unit	NOUN
fbem-14591	40	12	)	)	PUNCT
fbem-14591	40	13	,	,	PUNCT
fbem-14591	40	14	tanh	tanh	NOUN
fbem-14591	40	15	,	,	PUNCT
fbem-14591	40	16	and	and	CCONJ
fbem-14591	40	17	softmax	softmax	NOUN
fbem-14591	40	18	.	.	PUNCT
fbem-14591	41	1	2.2	2.2	NUM
fbem-14591	41	2	.	.	PUNCT
fbem-14591	42	1	deep	deep	ADJ
fbem-14591	42	2	learning	learning	NOUN
fbem-14591	42	3	and	and	CCONJ
fbem-14591	42	4	deep	deep	ADJ
fbem-14591	42	5	neural	neural	ADJ
fbem-14591	42	6	networks	network	NOUN
fbem-14591	42	7	when	when	SCONJ
fbem-14591	42	8	a	a	DET
fbem-14591	42	9	neural	neural	ADJ
fbem-14591	42	10	network	network	NOUN
fbem-14591	42	11	has	have	VERB
fbem-14591	42	12	multiple	multiple	ADJ
fbem-14591	42	13	hidden	hide	VERB
fbem-14591	42	14	layers	layer	NOUN
fbem-14591	42	15	,	,	PUNCT
fbem-14591	42	16	we	we	PRON
fbem-14591	42	17	call	call	VERB
fbem-14591	42	18	it	it	PRON
fbem-14591	42	19	a	a	DET
fbem-14591	42	20	deep	deep	ADJ
fbem-14591	42	21	neural	neural	ADJ
fbem-14591	42	22	network	network	NOUN
fbem-14591	42	23	.	.	PUNCT
fbem-14591	43	1	deep	deep	ADJ
fbem-14591	43	2	learning	learning	NOUN
fbem-14591	43	3	refers	refer	VERB
fbem-14591	43	4	to	to	ADP
fbem-14591	43	5	the	the	DET
fbem-14591	43	6	learning	learning	NOUN
fbem-14591	43	7	method	method	NOUN
fbem-14591	43	8	using	use	VERB
fbem-14591	43	9	deep	deep	ADJ
fbem-14591	43	10	neural	neural	ADJ
fbem-14591	43	11	networks	network	NOUN
fbem-14591	43	12	.	.	PUNCT
fbem-14591	44	1	as	as	ADP
fbem-14591	44	2	the	the	DET
fbem-14591	44	3	number	number	NOUN
fbem-14591	44	4	of	of	ADP
fbem-14591	44	5	layers	layer	NOUN
fbem-14591	44	6	increases	increase	NOUN
fbem-14591	44	7	,	,	PUNCT
fbem-14591	44	8	neural	neural	ADJ
fbem-14591	44	9	networks	network	NOUN
fbem-14591	44	10	can	can	AUX
fbem-14591	44	11	capture	capture	VERB
fbem-14591	44	12	more	more	ADV
fbem-14591	44	13	complex	complex	ADJ
fbem-14591	44	14	and	and	CCONJ
fbem-14591	44	15	nonlinear	nonlinear	ADJ
fbem-14591	44	16	relationships	relationship	NOUN
fbem-14591	44	17	.	.	PUNCT
fbem-14591	45	1	they	they	PRON
fbem-14591	45	2	can	can	AUX
fbem-14591	45	3	perform	perform	VERB
fbem-14591	45	4	feature	feature	NOUN
fbem-14591	45	5	learning	learning	NOUN
fbem-14591	45	6	,	,	PUNCT
fbem-14591	45	7	which	which	PRON
fbem-14591	45	8	automatically	automatically	ADV
fbem-14591	45	9	extracts	extract	VERB
fbem-14591	45	10	important	important	ADJ
fbem-14591	45	11	features	feature	NOUN
fbem-14591	45	12	from	from	ADP
fbem-14591	45	13	raw	raw	ADJ
fbem-14591	45	14	37	37	NUM
fbem-14591	45	15	data	datum	NOUN
fbem-14591	45	16	.	.	PUNCT
fbem-14591	46	1	this	this	PRON
fbem-14591	46	2	is	be	AUX
fbem-14591	46	3	a	a	DET
fbem-14591	46	4	common	common	ADJ
fbem-14591	46	5	problem	problem	NOUN
fbem-14591	46	6	in	in	ADP
fbem-14591	46	7	deep	deep	ADJ
fbem-14591	46	8	neural	neural	ADJ
fbem-14591	46	9	networks	network	NOUN
fbem-14591	46	10	[	[	X
fbem-14591	46	11	8	8	NUM
fbem-14591	46	12	]	]	PUNCT
fbem-14591	46	13	.	.	PUNCT
fbem-14591	47	1	when	when	SCONJ
fbem-14591	47	2	the	the	DET
fbem-14591	47	3	network	network	NOUN
fbem-14591	47	4	is	be	AUX
fbem-14591	47	5	too	too	ADV
fbem-14591	47	6	deep	deep	ADJ
fbem-14591	47	7	,	,	PUNCT
fbem-14591	47	8	gradients	gradient	NOUN
fbem-14591	47	9	may	may	AUX
fbem-14591	47	10	disappear	disappear	VERB
fbem-14591	47	11	or	or	CCONJ
fbem-14591	47	12	explode	explode	VERB
fbem-14591	47	13	in	in	ADP
fbem-14591	47	14	backpropagation	backpropagation	NOUN
fbem-14591	47	15	.	.	PUNCT
fbem-14591	48	1	to	to	PART
fbem-14591	48	2	address	address	VERB
fbem-14591	48	3	this	this	DET
fbem-14591	48	4	issue	issue	NOUN
fbem-14591	48	5	,	,	PUNCT
fbem-14591	48	6	researchers	researcher	NOUN
fbem-14591	48	7	have	have	AUX
fbem-14591	48	8	introduced	introduce	VERB
fbem-14591	48	9	structures	structure	NOUN
fbem-14591	48	10	such	such	ADJ
fbem-14591	48	11	as	as	ADP
fbem-14591	48	12	residual	residual	ADJ
fbem-14591	48	13	networks	network	NOUN
fbem-14591	48	14	.	.	PUNCT
fbem-14591	49	1	2.3	2.3	NUM
fbem-14591	49	2	.	.	PUNCT
fbem-14591	50	1	common	common	ADJ
fbem-14591	50	2	neural	neural	ADJ
fbem-14591	50	3	network	network	NOUN
fbem-14591	50	4	models	model	NOUN
fbem-14591	50	5	and	and	CCONJ
fbem-14591	50	6	their	their	PRON
fbem-14591	50	7	characteristics	characteristic	NOUN
fbem-14591	50	8	the	the	DET
fbem-14591	50	9	commonly	commonly	ADV
fbem-14591	50	10	used	use	VERB
fbem-14591	50	11	neural	neural	ADJ
fbem-14591	50	12	network	network	NOUN
fbem-14591	50	13	models	model	NOUN
fbem-14591	50	14	can	can	AUX
fbem-14591	50	15	be	be	AUX
fbem-14591	50	16	divided	divide	VERB
fbem-14591	50	17	into	into	ADP
fbem-14591	50	18	the	the	DET
fbem-14591	50	19	following	follow	VERB
fbem-14591	50	20	five	five	NUM
fbem-14591	50	21	types	type	NOUN
fbem-14591	50	22	:	:	PUNCT
fbem-14591	50	23	(	(	PUNCT
fbem-14591	50	24	1	1	X
fbem-14591	50	25	)	)	PUNCT
fbem-14591	50	26	fnn	fnn	NOUN
fbem-14591	50	27	(	(	PUNCT
fbem-14591	50	28	feedforward	feedforward	NOUN
fbem-14591	50	29	neural	neural	ADJ
fbem-14591	50	30	networks	network	NOUN
fbem-14591	50	31	)	)	PUNCT
fbem-14591	50	32	the	the	DET
fbem-14591	50	33	simplest	simple	ADJ
fbem-14591	50	34	neural	neural	ADJ
fbem-14591	50	35	network	network	NOUN
fbem-14591	50	36	,	,	PUNCT
fbem-14591	50	37	where	where	SCONJ
fbem-14591	50	38	data	datum	NOUN
fbem-14591	50	39	flows	flow	VERB
fbem-14591	50	40	from	from	ADP
fbem-14591	50	41	the	the	DET
fbem-14591	50	42	input	input	NOUN
fbem-14591	50	43	layer	layer	NOUN
fbem-14591	50	44	to	to	ADP
fbem-14591	50	45	the	the	DET
fbem-14591	50	46	output	output	NOUN
fbem-14591	50	47	layer	layer	NOUN
fbem-14591	50	48	without	without	ADP
fbem-14591	50	49	a	a	DET
fbem-14591	50	50	loop	loop	NOUN
fbem-14591	50	51	in	in	ADP
fbem-14591	50	52	the	the	DET
fbem-14591	50	53	middle	middle	NOUN
fbem-14591	50	54	.	.	PUNCT
fbem-14591	51	1	(	(	PUNCT
fbem-14591	51	2	2	2	X
fbem-14591	51	3	)	)	PUNCT
fbem-14591	51	4	cnn	cnn	PROPN
fbem-14591	51	5	cnn	cnn	PROPN
fbem-14591	51	6	is	be	AUX
fbem-14591	51	7	a	a	DET
fbem-14591	51	8	deep	deep	ADJ
fbem-14591	51	9	learning	learning	NOUN
fbem-14591	51	10	model	model	NOUN
fbem-14591	51	11	specifically	specifically	ADV
fbem-14591	51	12	designed	design	VERB
fbem-14591	51	13	to	to	PART
fbem-14591	51	14	handle	handle	VERB
fbem-14591	51	15	data	datum	NOUN
fbem-14591	51	16	with	with	ADP
fbem-14591	51	17	grid	grid	NOUN
fbem-14591	51	18	structures	structure	NOUN
fbem-14591	51	19	.	.	PUNCT
fbem-14591	52	1	due	due	ADP
fbem-14591	52	2	to	to	ADP
fbem-14591	52	3	its	its	PRON
fbem-14591	52	4	excellent	excellent	ADJ
fbem-14591	52	5	performance	performance	NOUN
fbem-14591	52	6	in	in	ADP
fbem-14591	52	7	image	image	NOUN
fbem-14591	52	8	recognition	recognition	NOUN
fbem-14591	52	9	and	and	CCONJ
fbem-14591	52	10	visual	visual	ADJ
fbem-14591	52	11	tasks	task	NOUN
fbem-14591	52	12	,	,	PUNCT
fbem-14591	52	13	cnn	cnn	PROPN
fbem-14591	52	14	has	have	AUX
fbem-14591	52	15	become	become	VERB
fbem-14591	52	16	the	the	DET
fbem-14591	52	17	mainstream	mainstream	NOUN
fbem-14591	52	18	technology	technology	NOUN
fbem-14591	52	19	in	in	ADP
fbem-14591	52	20	the	the	DET
fbem-14591	52	21	field	field	NOUN
fbem-14591	52	22	of	of	ADP
fbem-14591	52	23	computer	computer	NOUN
fbem-14591	52	24	vision	vision	NOUN
fbem-14591	52	25	.	.	PUNCT
fbem-14591	53	1	specially	specially	ADV
fbem-14591	53	2	designed	design	VERB
fbem-14591	53	3	for	for	ADP
fbem-14591	53	4	processing	process	VERB
fbem-14591	53	5	with	with	ADP
fbem-14591	53	6	a	a	DET
fbem-14591	53	7	grid	grid	NOUN
fbem-14591	53	8	structure	structure	NOUN
fbem-14591	53	9	as	as	SCONJ
fbem-14591	53	10	shown	show	VERB
fbem-14591	53	11	in	in	ADP
fbem-14591	53	12	figure	figure	NOUN
fbem-14591	53	13	1	1	NUM
fbem-14591	53	14	.	.	PUNCT
fbem-14591	54	1	cnn	cnn	PROPN
fbem-14591	54	2	is	be	AUX
fbem-14591	54	3	mainly	mainly	ADV
fbem-14591	54	4	composed	compose	VERB
fbem-14591	54	5	of	of	ADP
fbem-14591	54	6	input	input	NOUN
fbem-14591	54	7	layer	layer	NOUN
fbem-14591	54	8	,	,	PUNCT
fbem-14591	54	9	convolutional	convolutional	ADJ
fbem-14591	54	10	layer	layer	NOUN
fbem-14591	54	11	,	,	PUNCT
fbem-14591	54	12	downsampling	downsample	VERB
fbem-14591	54	13	layer	layer	NOUN
fbem-14591	54	14	,	,	PUNCT
fbem-14591	54	15	pooling	pool	VERB
fbem-14591	54	16	layer	layer	NOUN
fbem-14591	54	17	,	,	PUNCT
fbem-14591	54	18	fully	fully	ADV
fbem-14591	54	19	connected	connected	ADJ
fbem-14591	54	20	layer	layer	NOUN
fbem-14591	54	21	,	,	PUNCT
fbem-14591	54	22	and	and	CCONJ
fbem-14591	54	23	output	output	NOUN
fbem-14591	54	24	layer	layer	NOUN
fbem-14591	54	25	.	.	PUNCT
fbem-14591	55	1	figure	figure	NOUN
fbem-14591	55	2	1	1	NUM
fbem-14591	55	3	.	.	PUNCT
fbem-14591	55	4	cnn	cnn	PROPN
fbem-14591	55	5	structure	structure	PROPN
fbem-14591	55	6	diagram	diagram	PROPN
fbem-14591	55	7	(	(	PUNCT
fbem-14591	55	8	3	3	X
fbem-14591	55	9	)	)	PUNCT
fbem-14591	55	10	rnn	rnn	NOUN
fbem-14591	55	11	(	(	PUNCT
fbem-14591	55	12	recurrent	recurrent	ADJ
fbem-14591	55	13	neural	neural	ADJ
fbem-14591	55	14	networks	network	NOUN
fbem-14591	55	15	)	)	PUNCT
fbem-14591	55	16	suitable	suitable	ADJ
fbem-14591	55	17	for	for	ADP
fbem-14591	55	18	time	time	NOUN
fbem-14591	55	19	series	series	PROPN
fbem-14591	55	20	data	datum	NOUN
fbem-14591	55	21	and	and	CCONJ
fbem-14591	55	22	any	any	DET
fbem-14591	55	23	sequence	sequence	NOUN
fbem-14591	55	24	data	datum	NOUN
fbem-14591	55	25	,	,	PUNCT
fbem-14591	55	26	as	as	SCONJ
fbem-14591	55	27	it	it	PRON
fbem-14591	55	28	has	have	VERB
fbem-14591	55	29	the	the	DET
fbem-14591	55	30	ability	ability	NOUN
fbem-14591	55	31	to	to	PART
fbem-14591	55	32	remember	remember	VERB
fbem-14591	55	33	previous	previous	ADJ
fbem-14591	55	34	information	information	NOUN
fbem-14591	55	35	.	.	PUNCT
fbem-14591	56	1	but	but	CCONJ
fbem-14591	56	2	rnns	rnn	NOUN
fbem-14591	56	3	have	have	VERB
fbem-14591	56	4	long	long	ADJ
fbem-14591	56	5	-	-	PUNCT
fbem-14591	56	6	term	term	NOUN
fbem-14591	56	7	dependency	dependency	NOUN
fbem-14591	56	8	issues	issue	NOUN
fbem-14591	56	9	.	.	PUNCT
fbem-14591	57	1	(	(	PUNCT
fbem-14591	57	2	4	4	X
fbem-14591	57	3	)	)	PUNCT
fbem-14591	57	4	lstm	lstm	NOUN
fbem-14591	57	5	(	(	PUNCT
fbem-14591	57	6	long	long	ADJ
fbem-14591	57	7	short	short	ADJ
fbem-14591	57	8	term	term	NOUN
fbem-14591	57	9	memory	memory	NOUN
fbem-14591	57	10	)	)	PUNCT
fbem-14591	57	11	lstm	lstm	NOUN
fbem-14591	57	12	is	be	AUX
fbem-14591	57	13	a	a	DET
fbem-14591	57	14	variant	variant	NOUN
fbem-14591	57	15	of	of	ADP
fbem-14591	57	16	rnn	rnn	NOUN
fbem-14591	57	17	designed	design	VERB
fbem-14591	57	18	to	to	PART
fbem-14591	57	19	address	address	VERB
fbem-14591	57	20	long	long	ADJ
fbem-14591	57	21	-	-	PUNCT
fbem-14591	57	22	term	term	NOUN
fbem-14591	57	23	dependency	dependency	NOUN
fbem-14591	57	24	issues	issue	NOUN
fbem-14591	57	25	.	.	PUNCT
fbem-14591	58	1	control	control	VERB
fbem-14591	58	2	the	the	DET
fbem-14591	58	3	flow	flow	NOUN
fbem-14591	58	4	of	of	ADP
fbem-14591	58	5	information	information	NOUN
fbem-14591	58	6	by	by	ADP
fbem-14591	58	7	introducing	introduce	VERB
fbem-14591	58	8	three	three	NUM
fbem-14591	58	9	gates	gate	NOUN
fbem-14591	58	10	:	:	PUNCT
fbem-14591	58	11	forgetting	forget	VERB
fbem-14591	58	12	gate	gate	NOUN
fbem-14591	58	13	,	,	PUNCT
fbem-14591	58	14	input	input	NOUN
fbem-14591	58	15	gate	gate	NOUN
fbem-14591	58	16	,	,	PUNCT
fbem-14591	58	17	and	and	CCONJ
fbem-14591	58	18	output	output	NOUN
fbem-14591	58	19	gate	gate	NOUN
fbem-14591	58	20	.	.	PUNCT
fbem-14591	59	1	neural	neural	ADJ
fbem-14591	59	2	networks	network	NOUN
fbem-14591	59	3	provide	provide	VERB
fbem-14591	59	4	a	a	DET
fbem-14591	59	5	powerful	powerful	ADJ
fbem-14591	59	6	framework	framework	NOUN
fbem-14591	59	7	for	for	ADP
fbem-14591	59	8	capturing	capture	VERB
fbem-14591	59	9	complex	complex	ADJ
fbem-14591	59	10	relationships	relationship	NOUN
fbem-14591	59	11	and	and	CCONJ
fbem-14591	59	12	patterns	pattern	NOUN
fbem-14591	59	13	in	in	ADP
fbem-14591	59	14	data	datum	NOUN
fbem-14591	59	15	.	.	PUNCT
fbem-14591	60	1	deep	deep	ADJ
fbem-14591	60	2	learning	learning	NOUN
fbem-14591	60	3	techniques	technique	NOUN
fbem-14591	60	4	,	,	PUNCT
fbem-14591	60	5	especially	especially	ADV
fbem-14591	60	6	the	the	DET
fbem-14591	60	7	various	various	ADJ
fbem-14591	60	8	structures	structure	NOUN
fbem-14591	60	9	of	of	ADP
fbem-14591	60	10	neural	neural	ADJ
fbem-14591	60	11	networks	network	NOUN
fbem-14591	60	12	,	,	PUNCT
fbem-14591	60	13	provide	provide	VERB
fbem-14591	60	14	solutions	solution	NOUN
fbem-14591	60	15	for	for	ADP
fbem-14591	60	16	various	various	ADJ
fbem-14591	60	17	problems	problem	NOUN
fbem-14591	60	18	in	in	ADP
fbem-14591	60	19	the	the	DET
fbem-14591	60	20	financial	financial	ADJ
fbem-14591	60	21	field	field	NOUN
fbem-14591	60	22	,	,	PUNCT
fbem-14591	60	23	including	include	VERB
fbem-14591	60	24	bond	bond	NOUN
fbem-14591	60	25	investment	investment	NOUN
fbem-14591	60	26	prediction	prediction	NOUN
fbem-14591	60	27	.	.	PUNCT
fbem-14591	61	1	choosing	choose	VERB
fbem-14591	61	2	an	an	DET
fbem-14591	61	3	appropriate	appropriate	ADJ
fbem-14591	61	4	network	network	NOUN
fbem-14591	61	5	structure	structure	NOUN
fbem-14591	61	6	and	and	CCONJ
fbem-14591	61	7	correctly	correctly	ADV
fbem-14591	61	8	training	training	NOUN
fbem-14591	61	9	and	and	CCONJ
fbem-14591	61	10	validating	validate	VERB
fbem-14591	61	11	the	the	DET
fbem-14591	61	12	model	model	NOUN
fbem-14591	61	13	is	be	AUX
fbem-14591	61	14	crucial	crucial	ADJ
fbem-14591	61	15	for	for	ADP
fbem-14591	61	16	achieving	achieve	VERB
fbem-14591	61	17	accurate	accurate	ADJ
fbem-14591	61	18	predictions	prediction	NOUN
fbem-14591	61	19	.	.	PUNCT
fbem-14591	62	1	3	3	X
fbem-14591	62	2	.	.	X
fbem-14591	62	3	construction	construction	NOUN
fbem-14591	62	4	and	and	CCONJ
fbem-14591	62	5	verification	verification	NOUN
fbem-14591	62	6	of	of	ADP
fbem-14591	62	7	financial	financial	ADJ
fbem-14591	62	8	neural	neural	ADJ
fbem-14591	62	9	network	network	NOUN
fbem-14591	62	10	model	model	NOUN
fbem-14591	62	11	3.1	3.1	NUM
fbem-14591	62	12	.	.	PUNCT
fbem-14591	63	1	model	model	NOUN
fbem-14591	63	2	structure	structure	NOUN
fbem-14591	63	3	design	design	VERB
fbem-14591	63	4	the	the	DET
fbem-14591	63	5	financial	financial	ADJ
fbem-14591	63	6	neural	neural	ADJ
fbem-14591	63	7	network	network	NOUN
fbem-14591	63	8	model	model	NOUN
fbem-14591	63	9	is	be	AUX
fbem-14591	63	10	mainly	mainly	ADV
fbem-14591	63	11	based	base	VERB
fbem-14591	63	12	on	on	ADP
fbem-14591	63	13	the	the	DET
fbem-14591	63	14	framework	framework	NOUN
fbem-14591	63	15	of	of	ADP
fbem-14591	63	16	deep	deep	ADJ
fbem-14591	63	17	learning	learning	NOUN
fbem-14591	63	18	.	.	PUNCT
fbem-14591	64	1	neural	neural	ADJ
fbem-14591	64	2	network	network	NOUN
fbem-14591	64	3	models	model	NOUN
fbem-14591	64	4	,	,	PUNCT
fbem-14591	64	5	especially	especially	ADV
fbem-14591	64	6	deep	deep	ADJ
fbem-14591	64	7	networks	network	NOUN
fbem-14591	64	8	,	,	PUNCT
fbem-14591	64	9	are	be	AUX
fbem-14591	64	10	often	often	ADV
fbem-14591	64	11	criticized	criticize	VERB
fbem-14591	64	12	as	as	ADP
fbem-14591	64	13	"	"	PUNCT
fbem-14591	64	14	black	black	ADJ
fbem-14591	64	15	box	box	NOUN
fbem-14591	64	16	"	"	PUNCT
fbem-14591	64	17	models	model	NOUN
fbem-14591	64	18	because	because	SCONJ
fbem-14591	64	19	their	their	PRON
fbem-14591	64	20	internal	internal	ADJ
fbem-14591	64	21	working	working	NOUN
fbem-14591	64	22	mechanisms	mechanism	NOUN
fbem-14591	64	23	are	be	AUX
fbem-14591	64	24	difficult	difficult	ADJ
fbem-14591	64	25	to	to	PART
fbem-14591	64	26	explain	explain	VERB
fbem-14591	64	27	.	.	PUNCT
fbem-14591	65	1	financial	financial	ADJ
fbem-14591	65	2	market	market	NOUN
fbem-14591	65	3	is	be	AUX
fbem-14591	65	4	highly	highly	ADV
fbem-14591	65	5	dynamic	dynamic	ADJ
fbem-14591	65	6	and	and	CCONJ
fbem-14591	65	7	is	be	AUX
fbem-14591	65	8	influenced	influence	VERB
fbem-14591	65	9	by	by	ADP
fbem-14591	65	10	many	many	ADJ
fbem-14591	65	11	factors	factor	NOUN
fbem-14591	65	12	,	,	PUNCT
fbem-14591	65	13	such	such	ADJ
fbem-14591	65	14	as	as	ADP
fbem-14591	65	15	macroeconomic	macroeconomic	ADJ
fbem-14591	65	16	policies	policy	NOUN
fbem-14591	65	17	and	and	CCONJ
fbem-14591	65	18	geopolitical	geopolitical	ADJ
fbem-14591	65	19	events	event	NOUN
fbem-14591	65	20	.	.	PUNCT
fbem-14591	66	1	neural	neural	ADJ
fbem-14591	66	2	network	network	NOUN
fbem-14591	66	3	model	model	NOUN
fbem-14591	66	4	may	may	AUX
fbem-14591	66	5	perform	perform	VERB
fbem-14591	66	6	well	well	ADV
fbem-14591	66	7	in	in	ADP
fbem-14591	66	8	a	a	DET
fbem-14591	66	9	certain	certain	ADJ
fbem-14591	66	10	period	period	NOUN
fbem-14591	66	11	,	,	PUNCT
fbem-14591	66	12	but	but	CCONJ
fbem-14591	66	13	it	it	PRON
fbem-14591	66	14	may	may	AUX
fbem-14591	66	15	fail	fail	VERB
fbem-14591	66	16	when	when	SCONJ
fbem-14591	66	17	market	market	NOUN
fbem-14591	66	18	conditions	condition	NOUN
fbem-14591	66	19	change	change	VERB
fbem-14591	66	20	.	.	PUNCT
fbem-14591	67	1	deep	deep	ADJ
fbem-14591	67	2	neural	neural	ADJ
fbem-14591	67	3	network	network	NOUN
fbem-14591	67	4	model	model	NOUN
fbem-14591	67	5	needs	need	VERB
fbem-14591	67	6	a	a	DET
fbem-14591	67	7	lot	lot	NOUN
fbem-14591	67	8	of	of	ADP
fbem-14591	67	9	computing	compute	VERB
fbem-14591	67	10	resources	resource	NOUN
fbem-14591	67	11	and	and	CCONJ
fbem-14591	67	12	time	time	NOUN
fbem-14591	67	13	to	to	PART
fbem-14591	67	14	train	train	VERB
fbem-14591	67	15	.	.	PUNCT
fbem-14591	68	1	this	this	PRON
fbem-14591	68	2	may	may	AUX
fbem-14591	68	3	limit	limit	VERB
fbem-14591	68	4	its	its	PRON
fbem-14591	68	5	application	application	NOUN
fbem-14591	68	6	in	in	ADP
fbem-14591	68	7	time	time	NOUN
fbem-14591	68	8	-	-	PUNCT
fbem-14591	68	9	sensitive	sensitive	ADJ
fbem-14591	68	10	financial	financial	ADJ
fbem-14591	68	11	tasks	task	NOUN
fbem-14591	68	12	,	,	PUNCT
fbem-14591	68	13	such	such	ADJ
fbem-14591	68	14	as	as	ADP
fbem-14591	68	15	highfrequency	highfrequency	NOUN
fbem-14591	68	16	trading	trading	NOUN
fbem-14591	68	17	.	.	PUNCT
fbem-14591	69	1	choosing	choose	VERB
fbem-14591	69	2	the	the	DET
fbem-14591	69	3	correct	correct	ADJ
fbem-14591	69	4	network	network	NOUN
fbem-14591	69	5	structure	structure	NOUN
fbem-14591	69	6	and	and	CCONJ
fbem-14591	69	7	hyperparameters	hyperparameter	NOUN
fbem-14591	69	8	is	be	AUX
fbem-14591	69	9	very	very	ADV
fbem-14591	69	10	important	important	ADJ
fbem-14591	69	11	for	for	ADP
fbem-14591	69	12	the	the	DET
fbem-14591	69	13	performance	performance	NOUN
fbem-14591	69	14	of	of	ADP
fbem-14591	69	15	neural	neural	ADJ
fbem-14591	69	16	network	network	NOUN
fbem-14591	69	17	model	model	NOUN
fbem-14591	69	18	.	.	PUNCT
fbem-14591	70	1	however	however	ADV
fbem-14591	70	2	,	,	PUNCT
fbem-14591	70	3	this	this	PRON
fbem-14591	70	4	is	be	AUX
fbem-14591	70	5	usually	usually	ADV
fbem-14591	70	6	a	a	DET
fbem-14591	70	7	trial	trial	NOUN
fbem-14591	70	8	and	and	CCONJ
fbem-14591	70	9	error	error	NOUN
fbem-14591	70	10	process	process	NOUN
fbem-14591	70	11	,	,	PUNCT
fbem-14591	70	12	which	which	PRON
fbem-14591	70	13	requires	require	VERB
fbem-14591	70	14	a	a	DET
fbem-14591	70	15	lot	lot	NOUN
fbem-14591	70	16	of	of	ADP
fbem-14591	70	17	time	time	NOUN
fbem-14591	70	18	and	and	CCONJ
fbem-14591	70	19	experience	experience	NOUN
fbem-14591	70	20	.	.	PUNCT
fbem-14591	71	1	financial	financial	ADJ
fbem-14591	71	2	market	market	NOUN
fbem-14591	71	3	data	datum	NOUN
fbem-14591	71	4	often	often	ADV
fbem-14591	71	5	presents	present	VERB
fbem-14591	71	6	nonlinear	nonlinear	ADJ
fbem-14591	71	7	and	and	CCONJ
fbem-14591	71	8	multimodal	multimodal	NOUN
fbem-14591	71	9	characteristics	characteristic	NOUN
fbem-14591	71	10	.	.	PUNCT
fbem-14591	72	1	although	although	SCONJ
fbem-14591	72	2	neural	neural	ADJ
fbem-14591	72	3	network	network	NOUN
fbem-14591	72	4	model	model	NOUN
fbem-14591	72	5	has	have	VERB
fbem-14591	72	6	some	some	DET
fbem-14591	72	7	advantages	advantage	NOUN
fbem-14591	72	8	in	in	ADP
fbem-14591	72	9	dealing	deal	VERB
fbem-14591	72	10	with	with	ADP
fbem-14591	72	11	nonlinear	nonlinear	ADJ
fbem-14591	72	12	problems	problem	NOUN
fbem-14591	72	13	,	,	PUNCT
fbem-14591	72	14	it	it	PRON
fbem-14591	72	15	still	still	ADV
fbem-14591	72	16	has	have	VERB
fbem-14591	72	17	challenges	challenge	NOUN
fbem-14591	72	18	in	in	ADP
fbem-14591	72	19	dealing	deal	VERB
fbem-14591	72	20	with	with	ADP
fbem-14591	72	21	multimodal	multimodal	NOUN
fbem-14591	72	22	data	datum	NOUN
fbem-14591	72	23	.	.	PUNCT
fbem-14591	73	1	in	in	ADP
fbem-14591	73	2	the	the	DET
fbem-14591	73	3	financial	financial	ADJ
fbem-14591	73	4	field	field	NOUN
fbem-14591	73	5	,	,	PUNCT
fbem-14591	73	6	investment	investment	NOUN
fbem-14591	73	7	decisions	decision	NOUN
fbem-14591	73	8	often	often	ADV
fbem-14591	73	9	need	need	VERB
fbem-14591	73	10	clear	clear	ADJ
fbem-14591	73	11	explanation	explanation	NOUN
fbem-14591	73	12	and	and	CCONJ
fbem-14591	73	13	transparency	transparency	NOUN
fbem-14591	73	14	,	,	PUNCT
fbem-14591	73	15	which	which	PRON
fbem-14591	73	16	restricts	restrict	VERB
fbem-14591	73	17	the	the	DET
fbem-14591	73	18	application	application	NOUN
fbem-14591	73	19	of	of	ADP
fbem-14591	73	20	neural	neural	ADJ
fbem-14591	73	21	network	network	NOUN
fbem-14591	73	22	model	model	NOUN
fbem-14591	73	23	.	.	PUNCT
fbem-14591	74	1	for	for	ADP
fbem-14591	74	2	bond	bond	NOUN
fbem-14591	74	3	investment	investment	NOUN
fbem-14591	74	4	prediction	prediction	NOUN
fbem-14591	74	5	,	,	PUNCT
fbem-14591	74	6	we	we	PRON
fbem-14591	74	7	usually	usually	ADV
fbem-14591	74	8	use	use	VERB
fbem-14591	74	9	fnn	fnn	NOUN
fbem-14591	74	10	,	,	PUNCT
fbem-14591	74	11	rnn	rnn	NOUN
fbem-14591	74	12	or	or	CCONJ
fbem-14591	74	13	lstm	lstm	NOUN
fbem-14591	74	14	.	.	PUNCT
fbem-14591	75	1	fnn	fnn	PROPN
fbem-14591	75	2	includes	include	VERB
fbem-14591	75	3	an	an	DET
fbem-14591	75	4	input	input	NOUN
fbem-14591	75	5	layer	layer	NOUN
fbem-14591	75	6	,	,	PUNCT
fbem-14591	75	7	a	a	DET
fbem-14591	75	8	hidden	hidden	ADJ
fbem-14591	75	9	layer	layer	NOUN
fbem-14591	75	10	and	and	CCONJ
fbem-14591	75	11	an	an	DET
fbem-14591	75	12	output	output	NOUN
fbem-14591	75	13	layer	layer	NOUN
fbem-14591	75	14	.	.	PUNCT
fbem-14591	76	1	each	each	DET
fbem-14591	76	2	layer	layer	NOUN
fbem-14591	76	3	contains	contain	VERB
fbem-14591	76	4	multiple	multiple	ADJ
fbem-14591	76	5	nodes	node	NOUN
fbem-14591	76	6	,	,	PUNCT
fbem-14591	76	7	which	which	PRON
fbem-14591	76	8	are	be	AUX
fbem-14591	76	9	connected	connect	VERB
fbem-14591	76	10	by	by	ADP
fbem-14591	76	11	weights	weight	NOUN
fbem-14591	76	12	.	.	PUNCT
fbem-14591	77	1	because	because	SCONJ
fbem-14591	77	2	fnn	fnn	NOUN
fbem-14591	77	3	lacks	lack	VERB
fbem-14591	77	4	the	the	DET
fbem-14591	77	5	ability	ability	NOUN
fbem-14591	77	6	of	of	ADP
fbem-14591	77	7	time	time	NOUN
fbem-14591	77	8	series	series	PROPN
fbem-14591	77	9	data	datum	NOUN
fbem-14591	77	10	processing	processing	NOUN
fbem-14591	77	11	,	,	PUNCT
fbem-14591	77	12	they	they	PRON
fbem-14591	77	13	are	be	AUX
fbem-14591	77	14	mainly	mainly	ADV
fbem-14591	77	15	used	use	VERB
fbem-14591	77	16	for	for	ADP
fbem-14591	77	17	forecasting	forecasting	NOUN
fbem-14591	77	18	based	base	VERB
fbem-14591	77	19	on	on	ADP
fbem-14591	77	20	cross	cross	ADJ
fbem-14591	77	21	-	-	ADJ
fbem-14591	77	22	sectional	sectional	ADJ
fbem-14591	77	23	data	datum	NOUN
fbem-14591	77	24	.	.	PUNCT
fbem-14591	78	1	rnn	rnn	PROPN
fbem-14591	78	2	is	be	AUX
fbem-14591	78	3	different	different	ADJ
fbem-14591	78	4	from	from	ADP
fbem-14591	78	5	fnn	fnn	PROPN
fbem-14591	78	6	.	.	PUNCT
fbem-14591	79	1	rnn	rnn	PROPN
fbem-14591	79	2	has	have	VERB
fbem-14591	79	3	the	the	DET
fbem-14591	79	4	ability	ability	NOUN
fbem-14591	79	5	to	to	PART
fbem-14591	79	6	process	process	VERB
fbem-14591	79	7	time	time	NOUN
fbem-14591	79	8	series	series	PROPN
fbem-14591	79	9	data	data	PROPN
fbem-14591	79	10	,	,	PUNCT
fbem-14591	79	11	and	and	CCONJ
fbem-14591	79	12	it	it	PRON
fbem-14591	79	13	processes	process	VERB
fbem-14591	79	14	past	past	ADJ
fbem-14591	79	15	information	information	NOUN
fbem-14591	79	16	by	by	ADP
fbem-14591	79	17	maintaining	maintain	VERB
fbem-14591	79	18	an	an	DET
fbem-14591	79	19	internal	internal	ADJ
fbem-14591	79	20	state	state	NOUN
fbem-14591	79	21	.	.	PUNCT
fbem-14591	80	1	however	however	ADV
fbem-14591	80	2	,	,	PUNCT
fbem-14591	80	3	rnn	rnn	PROPN
fbem-14591	80	4	has	have	VERB
fbem-14591	80	5	problems	problem	NOUN
fbem-14591	80	6	with	with	ADP
fbem-14591	80	7	long	long	ADJ
fbem-14591	80	8	-	-	PUNCT
fbem-14591	80	9	term	term	NOUN
fbem-14591	80	10	data	datum	NOUN
fbem-14591	80	11	processing	processing	NOUN
fbem-14591	80	12	[	[	X
fbem-14591	80	13	9	9	NUM
fbem-14591	80	14	]	]	PUNCT
fbem-14591	80	15	.	.	PUNCT
fbem-14591	81	1	lstm	lstm	NOUN
fbem-14591	81	2	is	be	AUX
fbem-14591	81	3	designed	design	VERB
fbem-14591	81	4	to	to	PART
fbem-14591	81	5	solve	solve	VERB
fbem-14591	81	6	the	the	DET
fbem-14591	81	7	problem	problem	NOUN
fbem-14591	81	8	of	of	ADP
fbem-14591	81	9	long	long	ADJ
fbem-14591	81	10	-	-	PUNCT
fbem-14591	81	11	term	term	NOUN
fbem-14591	81	12	dependence	dependence	NOUN
fbem-14591	81	13	of	of	ADP
fbem-14591	81	14	rnn	rnn	PROPN
fbem-14591	81	15	.	.	PUNCT
fbem-14591	82	1	through	through	ADP
fbem-14591	82	2	special	special	ADJ
fbem-14591	82	3	gating	gate	VERB
fbem-14591	82	4	mechanism	mechanism	NOUN
fbem-14591	82	5	,	,	PUNCT
fbem-14591	82	6	lstm	lstm	NOUN
fbem-14591	82	7	can	can	AUX
fbem-14591	82	8	save	save	VERB
fbem-14591	82	9	or	or	CCONJ
fbem-14591	82	10	forget	forget	VERB
fbem-14591	82	11	information	information	NOUN
fbem-14591	82	12	for	for	ADP
fbem-14591	82	13	a	a	DET
fbem-14591	82	14	long	long	ADJ
fbem-14591	82	15	time	time	NOUN
fbem-14591	82	16	.	.	PUNCT
fbem-14591	83	1	3.2	3.2	NUM
fbem-14591	83	2	.	.	PUNCT
fbem-14591	83	3	model	model	NOUN
fbem-14591	83	4	training	training	NOUN
fbem-14591	83	5	and	and	CCONJ
fbem-14591	83	6	optimization	optimization	NOUN
fbem-14591	83	7	strategy	strategy	NOUN
fbem-14591	83	8	training	training	NOUN
fbem-14591	83	9	neural	neural	ADJ
fbem-14591	83	10	network	network	NOUN
fbem-14591	83	11	involves	involve	VERB
fbem-14591	83	12	weight	weight	NOUN
fbem-14591	83	13	updating	updating	NOUN
fbem-14591	83	14	to	to	PART
fbem-14591	83	15	minimize	minimize	VERB
fbem-14591	83	16	the	the	DET
fbem-14591	83	17	difference	difference	NOUN
fbem-14591	83	18	between	between	ADP
fbem-14591	83	19	prediction	prediction	NOUN
fbem-14591	83	20	and	and	CCONJ
fbem-14591	83	21	actual	actual	ADJ
fbem-14591	83	22	value	value	NOUN
fbem-14591	83	23	.	.	PUNCT
fbem-14591	84	1	we	we	PRON
fbem-14591	84	2	use	use	VERB
fbem-14591	84	3	back	back	ADJ
fbem-14591	84	4	propagation	propagation	NOUN
fbem-14591	84	5	algorithm	algorithm	NOUN
fbem-14591	84	6	and	and	CCONJ
fbem-14591	84	7	optimizer	optimizer	NOUN
fbem-14591	84	8	such	such	ADJ
fbem-14591	84	9	as	as	ADP
fbem-14591	84	10	random	random	ADJ
fbem-14591	84	11	gradient	gradient	ADJ
fbem-14591	84	12	descent	descent	NOUN
fbem-14591	84	13	,	,	PUNCT
fbem-14591	84	14	adam	adam	NOUN
fbem-14591	84	15	or	or	CCONJ
fbem-14591	84	16	rmsprop	rmsprop	NOUN
fbem-14591	84	17	to	to	PART
fbem-14591	84	18	do	do	VERB
fbem-14591	84	19	this	this	PRON
fbem-14591	84	20	.	.	PUNCT
fbem-14591	85	1	in	in	ADP
fbem-14591	85	2	order	order	NOUN
fbem-14591	85	3	to	to	PART
fbem-14591	85	4	measure	measure	VERB
fbem-14591	85	5	the	the	DET
fbem-14591	85	6	difference	difference	NOUN
fbem-14591	85	7	between	between	ADP
fbem-14591	85	8	the	the	DET
fbem-14591	85	9	prediction	prediction	NOUN
fbem-14591	85	10	of	of	ADP
fbem-14591	85	11	the	the	DET
fbem-14591	85	12	model	model	NOUN
fbem-14591	85	13	and	and	CCONJ
fbem-14591	85	14	the	the	DET
fbem-14591	85	15	real	real	ADJ
fbem-14591	85	16	value	value	NOUN
fbem-14591	85	17	,	,	PUNCT
fbem-14591	85	18	we	we	PRON
fbem-14591	85	19	usually	usually	ADV
fbem-14591	85	20	use	use	VERB
fbem-14591	85	21	mean	mean	ADJ
fbem-14591	85	22	square	square	ADJ
fbem-14591	85	23	error	error	NOUN
fbem-14591	85	24	or	or	CCONJ
fbem-14591	85	25	cross	cross	NOUN
fbem-14591	85	26	entropy	entropy	PROPN
fbem-14591	85	27	loss	loss	NOUN
fbem-14591	85	28	,	,	PUNCT
fbem-14591	85	29	and	and	CCONJ
fbem-14591	85	30	mse	mse	NOUN
fbem-14591	85	31	may	may	AUX
fbem-14591	85	32	be	be	AUX
fbem-14591	85	33	more	more	ADV
fbem-14591	85	34	suitable	suitable	ADJ
fbem-14591	85	35	for	for	ADP
fbem-14591	85	36	bond	bond	NOUN
fbem-14591	85	37	investment	investment	NOUN
fbem-14591	85	38	prediction	prediction	NOUN
fbem-14591	86	1	[	[	X
fbem-14591	86	2	10	10	NUM
fbem-14591	86	3	]	]	PUNCT
fbem-14591	86	4	.	.	PUNCT
fbem-14591	87	1	in	in	ADP
fbem-14591	87	2	order	order	NOUN
fbem-14591	87	3	to	to	PART
fbem-14591	87	4	avoid	avoid	VERB
fbem-14591	87	5	over	over	ADP
fbem-14591	87	6	-	-	PUNCT
fbem-14591	87	7	fitting	fitting	ADJ
fbem-14591	87	8	,	,	PUNCT
fbem-14591	87	9	we	we	PRON
fbem-14591	87	10	use	use	VERB
fbem-14591	87	11	regularization	regularization	NOUN
fbem-14591	87	12	methods	method	NOUN
fbem-14591	87	13	such	such	ADJ
fbem-14591	87	14	as	as	ADP
fbem-14591	87	15	l1	l1	PROPN
fbem-14591	87	16	,	,	PUNCT
fbem-14591	87	17	l2	l2	NOUN
fbem-14591	87	18	or	or	CCONJ
fbem-14591	87	19	dropout	dropout	NOUN
fbem-14591	87	20	.	.	PUNCT
fbem-14591	88	1	stop	stop	VERB
fbem-14591	88	2	training	training	NOUN
fbem-14591	88	3	when	when	SCONJ
fbem-14591	88	4	the	the	DET
fbem-14591	88	5	performance	performance	NOUN
fbem-14591	88	6	on	on	ADP
fbem-14591	88	7	the	the	DET
fbem-14591	88	8	verification	verification	NOUN
fbem-14591	88	9	set	set	NOUN
fbem-14591	88	10	is	be	AUX
fbem-14591	88	11	no	no	ADV
fbem-14591	88	12	longer	long	ADV
fbem-14591	88	13	improved	improve	VERB
fbem-14591	88	14	to	to	PART
fbem-14591	88	15	prevent	prevent	VERB
fbem-14591	88	16	over	over	ADP
fbem-14591	88	17	-	-	PUNCT
fbem-14591	88	18	fitting	fitting	ADJ
fbem-14591	88	19	.	.	PUNCT
fbem-14591	89	1	3.3	3.3	NUM
fbem-14591	89	2	.	.	PUNCT
fbem-14591	89	3	model	model	NOUN
fbem-14591	89	4	verification	verification	NOUN
fbem-14591	89	5	and	and	CCONJ
fbem-14591	89	6	evaluation	evaluation	NOUN
fbem-14591	89	7	method	method	NOUN
fbem-14591	89	8	we	we	PRON
fbem-14591	89	9	split	split	VERB
fbem-14591	89	10	the	the	DET
fbem-14591	89	11	data	datum	NOUN
fbem-14591	89	12	into	into	ADP
fbem-14591	89	13	training	training	NOUN
fbem-14591	89	14	set	set	NOUN
fbem-14591	89	15	,	,	PUNCT
fbem-14591	89	16	verification	verification	NOUN
fbem-14591	89	17	set	set	NOUN
fbem-14591	89	18	and	and	CCONJ
fbem-14591	89	19	test	test	NOUN
fbem-14591	89	20	set	set	VERB
fbem-14591	89	21	.	.	PUNCT
fbem-14591	90	1	the	the	DET
fbem-14591	90	2	training	training	NOUN
fbem-14591	90	3	set	set	NOUN
fbem-14591	90	4	is	be	AUX
fbem-14591	90	5	used	use	VERB
fbem-14591	90	6	to	to	PART
fbem-14591	90	7	train	train	VERB
fbem-14591	90	8	the	the	DET
fbem-14591	90	9	model	model	NOUN
fbem-14591	90	10	,	,	PUNCT
fbem-14591	90	11	the	the	DET
fbem-14591	90	12	verification	verification	NOUN
fbem-14591	90	13	set	set	NOUN
fbem-14591	90	14	is	be	AUX
fbem-14591	90	15	used	use	VERB
fbem-14591	90	16	to	to	PART
fbem-14591	90	17	adjust	adjust	VERB
fbem-14591	90	18	the	the	DET
fbem-14591	90	19	superparameter	superparameter	NOUN
fbem-14591	90	20	and	and	CCONJ
fbem-14591	90	21	check	check	VERB
fbem-14591	90	22	the	the	DET
fbem-14591	90	23	performance	performance	NOUN
fbem-14591	90	24	of	of	ADP
fbem-14591	90	25	the	the	DET
fbem-14591	90	26	model	model	NOUN
fbem-14591	90	27	on	on	ADP
fbem-14591	90	28	unknown	unknown	ADJ
fbem-14591	90	29	data	datum	NOUN
fbem-14591	90	30	,	,	PUNCT
fbem-14591	90	31	and	and	CCONJ
fbem-14591	90	32	the	the	DET
fbem-14591	90	33	test	test	NOUN
fbem-14591	90	34	set	set	VERB
fbem-14591	90	35	38	38	NUM
fbem-14591	90	36	is	be	AUX
fbem-14591	90	37	used	use	VERB
fbem-14591	90	38	for	for	ADP
fbem-14591	90	39	final	final	ADJ
fbem-14591	90	40	evaluation	evaluation	NOUN
fbem-14591	90	41	.	.	PUNCT
fbem-14591	91	1	considering	consider	VERB
fbem-14591	91	2	the	the	DET
fbem-14591	91	3	characteristics	characteristic	NOUN
fbem-14591	91	4	of	of	ADP
fbem-14591	91	5	time	time	NOUN
fbem-14591	91	6	series	series	NOUN
fbem-14591	91	7	,	,	PUNCT
fbem-14591	91	8	we	we	PRON
fbem-14591	91	9	use	use	VERB
fbem-14591	91	10	rolling	roll	VERB
fbem-14591	91	11	window	window	NOUN
fbem-14591	91	12	cross	cross	NOUN
fbem-14591	91	13	-	-	ADJ
fbem-14591	91	14	validation	validation	ADJ
fbem-14591	91	15	or	or	CCONJ
fbem-14591	91	16	time	time	NOUN
fbem-14591	91	17	series	series	PROPN
fbem-14591	91	18	cross	cross	NOUN
fbem-14591	91	19	-	-	NOUN
fbem-14591	91	20	validation	validation	NOUN
fbem-14591	91	21	to	to	PART
fbem-14591	91	22	ensure	ensure	VERB
fbem-14591	91	23	that	that	SCONJ
fbem-14591	91	24	the	the	DET
fbem-14591	91	25	time	time	NOUN
fbem-14591	91	26	series	series	NOUN
fbem-14591	91	27	of	of	ADP
fbem-14591	91	28	data	data	NOUN
fbem-14591	91	29	is	be	AUX
fbem-14591	91	30	not	not	PART
fbem-14591	91	31	destroyed	destroy	VERB
fbem-14591	91	32	.	.	PUNCT
fbem-14591	92	1	in	in	ADP
fbem-14591	92	2	order	order	NOUN
fbem-14591	92	3	to	to	PART
fbem-14591	92	4	evaluate	evaluate	VERB
fbem-14591	92	5	the	the	DET
fbem-14591	92	6	prediction	prediction	NOUN
fbem-14591	92	7	performance	performance	NOUN
fbem-14591	92	8	of	of	ADP
fbem-14591	92	9	the	the	DET
fbem-14591	92	10	model	model	NOUN
fbem-14591	92	11	,	,	PUNCT
fbem-14591	92	12	we	we	PRON
fbem-14591	92	13	use	use	VERB
fbem-14591	92	14	mean	mean	ADJ
fbem-14591	92	15	square	square	ADJ
fbem-14591	92	16	error	error	NOUN
fbem-14591	92	17	,	,	PUNCT
fbem-14591	92	18	root	root	NOUN
fbem-14591	92	19	mean	mean	VERB
fbem-14591	92	20	square	square	NOUN
fbem-14591	92	21	error	error	NOUN
fbem-14591	92	22	,	,	PUNCT
fbem-14591	92	23	absolute	absolute	ADJ
fbem-14591	92	24	average	average	ADJ
fbem-14591	92	25	error	error	NOUN
fbem-14591	92	26	and	and	CCONJ
fbem-14591	92	27	r	r	NOUN
fbem-14591	92	28	-	-	PUNCT
fbem-14591	92	29	squared	square	VERB
fbem-14591	92	30	.	.	PUNCT
fbem-14591	93	1	in	in	ADP
fbem-14591	93	2	order	order	NOUN
fbem-14591	93	3	to	to	PART
fbem-14591	93	4	determine	determine	VERB
fbem-14591	93	5	whether	whether	SCONJ
fbem-14591	93	6	our	our	PRON
fbem-14591	93	7	financial	financial	ADJ
fbem-14591	93	8	neural	neural	ADJ
fbem-14591	93	9	network	network	NOUN
fbem-14591	93	10	model	model	NOUN
fbem-14591	93	11	is	be	AUX
fbem-14591	93	12	better	well	ADJ
fbem-14591	93	13	than	than	ADP
fbem-14591	93	14	other	other	ADJ
fbem-14591	93	15	benchmark	benchmark	NOUN
fbem-14591	93	16	models	model	NOUN
fbem-14591	93	17	,	,	PUNCT
fbem-14591	93	18	we	we	PRON
fbem-14591	93	19	compare	compare	VERB
fbem-14591	93	20	it	it	PRON
fbem-14591	93	21	on	on	ADP
fbem-14591	93	22	the	the	DET
fbem-14591	93	23	same	same	ADJ
fbem-14591	93	24	test	test	NOUN
fbem-14591	93	25	set	set	VERB
fbem-14591	93	26	.	.	PUNCT
fbem-14591	94	1	through	through	ADP
fbem-14591	94	2	continuous	continuous	ADJ
fbem-14591	94	3	convolution	convolution	NOUN
fbem-14591	94	4	layer	layer	NOUN
fbem-14591	94	5	and	and	CCONJ
fbem-14591	94	6	pooling	pool	VERB
fbem-14591	94	7	layer	layer	NOUN
fbem-14591	94	8	,	,	PUNCT
fbem-14591	94	9	cnn	cnn	PROPN
fbem-14591	94	10	can	can	AUX
fbem-14591	94	11	extract	extract	VERB
fbem-14591	94	12	important	important	ADJ
fbem-14591	94	13	features	feature	NOUN
fbem-14591	94	14	from	from	ADP
fbem-14591	94	15	the	the	DET
fbem-14591	94	16	original	original	ADJ
fbem-14591	94	17	image	image	NOUN
fbem-14591	94	18	.	.	PUNCT
fbem-14591	95	1	early	early	ADJ
fbem-14591	95	2	layers	layer	NOUN
fbem-14591	95	3	may	may	AUX
fbem-14591	95	4	recognize	recognize	VERB
fbem-14591	95	5	edges	edge	NOUN
fbem-14591	95	6	and	and	CCONJ
fbem-14591	95	7	colors	color	NOUN
fbem-14591	95	8	,	,	PUNCT
fbem-14591	95	9	while	while	SCONJ
fbem-14591	95	10	deeper	deep	ADJ
fbem-14591	95	11	layers	layer	NOUN
fbem-14591	95	12	may	may	AUX
fbem-14591	95	13	recognize	recognize	VERB
fbem-14591	95	14	more	more	ADJ
fbem-14591	95	15	complex	complex	ADJ
fbem-14591	95	16	patterns	pattern	NOUN
fbem-14591	95	17	and	and	CCONJ
fbem-14591	95	18	object	object	VERB
fbem-14591	95	19	parts	part	NOUN
fbem-14591	95	20	.	.	PUNCT
fbem-14591	96	1	after	after	ADP
fbem-14591	96	2	many	many	ADJ
fbem-14591	96	3	convolution	convolution	NOUN
fbem-14591	96	4	and	and	CCONJ
fbem-14591	96	5	pooling	pool	VERB
fbem-14591	96	6	operations	operation	NOUN
fbem-14591	96	7	,	,	PUNCT
fbem-14591	96	8	the	the	DET
fbem-14591	96	9	network	network	NOUN
fbem-14591	96	10	uses	use	VERB
fbem-14591	96	11	the	the	DET
fbem-14591	96	12	fully	fully	ADV
fbem-14591	96	13	connected	connect	VERB
fbem-14591	96	14	layer	layer	NOUN
fbem-14591	96	15	to	to	PART
fbem-14591	96	16	classify	classify	VERB
fbem-14591	96	17	images	image	NOUN
fbem-14591	96	18	or	or	CCONJ
fbem-14591	96	19	other	other	ADJ
fbem-14591	96	20	tasks	task	NOUN
fbem-14591	96	21	.	.	PUNCT
fbem-14591	97	1	constructing	construct	VERB
fbem-14591	97	2	and	and	CCONJ
fbem-14591	97	3	verifying	verify	VERB
fbem-14591	97	4	the	the	DET
fbem-14591	97	5	financial	financial	ADJ
fbem-14591	97	6	neural	neural	ADJ
fbem-14591	97	7	network	network	NOUN
fbem-14591	97	8	model	model	NOUN
fbem-14591	97	9	is	be	AUX
fbem-14591	97	10	an	an	DET
fbem-14591	97	11	iterative	iterative	NOUN
fbem-14591	97	12	process	process	NOUN
fbem-14591	97	13	,	,	PUNCT
fbem-14591	97	14	which	which	PRON
fbem-14591	97	15	needs	need	VERB
fbem-14591	97	16	to	to	PART
fbem-14591	97	17	be	be	AUX
fbem-14591	97	18	weighed	weigh	VERB
fbem-14591	97	19	among	among	ADP
fbem-14591	97	20	data	datum	NOUN
fbem-14591	97	21	preparation	preparation	NOUN
fbem-14591	97	22	,	,	PUNCT
fbem-14591	97	23	model	model	NOUN
fbem-14591	97	24	structure	structure	NOUN
fbem-14591	97	25	selection	selection	NOUN
fbem-14591	97	26	,	,	PUNCT
fbem-14591	97	27	model	model	NOUN
fbem-14591	97	28	training	training	NOUN
fbem-14591	97	29	and	and	CCONJ
fbem-14591	97	30	model	model	NOUN
fbem-14591	97	31	verification	verification	NOUN
fbem-14591	97	32	.	.	PUNCT
fbem-14591	98	1	an	an	DET
fbem-14591	98	2	effective	effective	ADJ
fbem-14591	98	3	model	model	NOUN
fbem-14591	98	4	should	should	AUX
fbem-14591	98	5	be	be	AUX
fbem-14591	98	6	able	able	ADJ
fbem-14591	98	7	to	to	PART
fbem-14591	98	8	capture	capture	VERB
fbem-14591	98	9	the	the	DET
fbem-14591	98	10	dynamic	dynamic	ADJ
fbem-14591	98	11	characteristics	characteristic	NOUN
fbem-14591	98	12	of	of	ADP
fbem-14591	98	13	the	the	DET
fbem-14591	98	14	bond	bond	NOUN
fbem-14591	98	15	market	market	NOUN
fbem-14591	98	16	and	and	CCONJ
fbem-14591	98	17	provide	provide	VERB
fbem-14591	98	18	investors	investor	NOUN
fbem-14591	98	19	with	with	ADP
fbem-14591	98	20	valuable	valuable	ADJ
fbem-14591	98	21	forecasts	forecast	NOUN
fbem-14591	98	22	.	.	PUNCT
fbem-14591	99	1	4	4	X
fbem-14591	99	2	.	.	X
fbem-14591	99	3	strategy	strategy	NOUN
fbem-14591	99	4	analysis	analysis	NOUN
fbem-14591	99	5	of	of	ADP
fbem-14591	99	6	the	the	DET
fbem-14591	99	7	model	model	NOUN
fbem-14591	99	8	in	in	ADP
fbem-14591	99	9	bond	bond	NOUN
fbem-14591	99	10	investment	investment	NOUN
fbem-14591	99	11	prediction	prediction	NOUN
fbem-14591	99	12	4.1	4.1	NUM
fbem-14591	99	13	.	.	PUNCT
fbem-14591	100	1	comparison	comparison	NOUN
fbem-14591	100	2	between	between	ADP
fbem-14591	100	3	traditional	traditional	ADJ
fbem-14591	100	4	strategies	strategy	NOUN
fbem-14591	100	5	and	and	CCONJ
fbem-14591	100	6	neural	neural	ADJ
fbem-14591	100	7	network	network	NOUN
fbem-14591	100	8	strategies	strategy	NOUN
fbem-14591	100	9	traditional	traditional	ADJ
fbem-14591	100	10	forecasting	forecasting	NOUN
fbem-14591	100	11	strategies	strategy	NOUN
fbem-14591	100	12	in	in	ADP
fbem-14591	100	13	financial	financial	ADJ
fbem-14591	100	14	markets	market	NOUN
fbem-14591	100	15	are	be	AUX
fbem-14591	100	16	usually	usually	ADV
fbem-14591	100	17	based	base	VERB
fbem-14591	100	18	on	on	ADP
fbem-14591	100	19	fundamental	fundamental	ADJ
fbem-14591	100	20	analysis	analysis	NOUN
fbem-14591	100	21	,	,	PUNCT
fbem-14591	100	22	technical	technical	ADJ
fbem-14591	100	23	analysis	analysis	NOUN
fbem-14591	100	24	,	,	PUNCT
fbem-14591	100	25	or	or	CCONJ
fbem-14591	100	26	macroeconomic	macroeconomic	ADJ
fbem-14591	100	27	factors	factor	NOUN
fbem-14591	100	28	.	.	PUNCT
fbem-14591	101	1	most	most	ADJ
fbem-14591	101	2	of	of	ADP
fbem-14591	101	3	these	these	DET
fbem-14591	101	4	methods	method	NOUN
fbem-14591	101	5	have	have	AUX
fbem-14591	101	6	fixed	fix	VERB
fbem-14591	101	7	parameters	parameter	NOUN
fbem-14591	101	8	and	and	CCONJ
fbem-14591	101	9	judgment	judgment	NOUN
fbem-14591	101	10	criteria	criterion	NOUN
fbem-14591	101	11	,	,	PUNCT
fbem-14591	101	12	while	while	SCONJ
fbem-14591	101	13	neural	neural	ADJ
fbem-14591	101	14	network	network	NOUN
fbem-14591	101	15	models	model	NOUN
fbem-14591	101	16	can	can	AUX
fbem-14591	101	17	autonomously	autonomously	ADV
fbem-14591	101	18	learn	learn	VERB
fbem-14591	101	19	patterns	pattern	NOUN
fbem-14591	101	20	from	from	ADP
fbem-14591	101	21	a	a	DET
fbem-14591	101	22	large	large	ADJ
fbem-14591	101	23	amount	amount	NOUN
fbem-14591	101	24	of	of	ADP
fbem-14591	101	25	data	datum	NOUN
fbem-14591	101	26	.	.	PUNCT
fbem-14591	102	1	traditional	traditional	ADJ
fbem-14591	102	2	models	model	NOUN
fbem-14591	102	3	may	may	AUX
fbem-14591	102	4	require	require	VERB
fbem-14591	102	5	frequent	frequent	ADJ
fbem-14591	102	6	manual	manual	ADJ
fbem-14591	102	7	adjustments	adjustment	NOUN
fbem-14591	102	8	and	and	CCONJ
fbem-14591	102	9	revisions	revision	NOUN
fbem-14591	102	10	,	,	PUNCT
fbem-14591	102	11	while	while	SCONJ
fbem-14591	102	12	neural	neural	ADJ
fbem-14591	102	13	network	network	NOUN
fbem-14591	102	14	models	model	NOUN
fbem-14591	102	15	can	can	AUX
fbem-14591	102	16	adaptively	adaptively	ADV
fbem-14591	102	17	update	update	VERB
fbem-14591	102	18	and	and	CCONJ
fbem-14591	102	19	optimize	optimize	VERB
fbem-14591	102	20	.	.	PUNCT
fbem-14591	103	1	although	although	SCONJ
fbem-14591	103	2	neural	neural	ADJ
fbem-14591	103	3	network	network	NOUN
fbem-14591	103	4	models	model	NOUN
fbem-14591	103	5	have	have	VERB
fbem-14591	103	6	advantages	advantage	NOUN
fbem-14591	103	7	in	in	ADP
fbem-14591	103	8	processing	processing	NOUN
fbem-14591	103	9	complex	complex	ADJ
fbem-14591	103	10	data	datum	NOUN
fbem-14591	103	11	,	,	PUNCT
fbem-14591	103	12	this	this	PRON
fbem-14591	103	13	also	also	ADV
fbem-14591	103	14	means	mean	VERB
fbem-14591	103	15	that	that	SCONJ
fbem-14591	103	16	their	their	PRON
fbem-14591	103	17	interpretability	interpretability	NOUN
fbem-14591	103	18	may	may	AUX
fbem-14591	103	19	be	be	AUX
fbem-14591	103	20	poor	poor	ADJ
fbem-14591	103	21	and	and	CCONJ
fbem-14591	103	22	may	may	AUX
fbem-14591	103	23	not	not	PART
fbem-14591	103	24	be	be	AUX
fbem-14591	103	25	as	as	ADV
fbem-14591	103	26	intuitive	intuitive	ADJ
fbem-14591	103	27	as	as	ADP
fbem-14591	103	28	some	some	DET
fbem-14591	103	29	simple	simple	ADJ
fbem-14591	103	30	models	model	NOUN
fbem-14591	103	31	.	.	PUNCT
fbem-14591	104	1	4.2	4.2	NUM
fbem-14591	104	2	.	.	PUNCT
fbem-14591	104	3	advantages	advantage	NOUN
fbem-14591	104	4	and	and	CCONJ
fbem-14591	104	5	limitations	limitation	NOUN
fbem-14591	104	6	of	of	ADP
fbem-14591	104	7	neural	neural	ADJ
fbem-14591	104	8	network	network	NOUN
fbem-14591	104	9	model	model	NOUN
fbem-14591	104	10	strategies	strategy	NOUN
fbem-14591	104	11	this	this	DET
fbem-14591	104	12	article	article	NOUN
fbem-14591	104	13	analyzes	analyze	VERB
fbem-14591	104	14	the	the	DET
fbem-14591	104	15	advantages	advantage	NOUN
fbem-14591	104	16	of	of	ADP
fbem-14591	104	17	neural	neural	ADJ
fbem-14591	104	18	network	network	NOUN
fbem-14591	104	19	model	model	NOUN
fbem-14591	104	20	strategies	strategy	NOUN
fbem-14591	104	21	,	,	PUNCT
fbem-14591	104	22	as	as	SCONJ
fbem-14591	104	23	shown	show	VERB
fbem-14591	104	24	in	in	ADP
fbem-14591	104	25	figure	figure	NOUN
fbem-14591	104	26	2	2	NUM
fbem-14591	104	27	.	.	PUNCT
fbem-14591	104	28	figure	figure	NOUN
fbem-14591	104	29	2	2	NUM
fbem-14591	104	30	.	.	PUNCT
fbem-14591	104	31	advantages	advantage	NOUN
fbem-14591	104	32	of	of	ADP
fbem-14591	104	33	neural	neural	ADJ
fbem-14591	104	34	network	network	NOUN
fbem-14591	104	35	model	model	NOUN
fbem-14591	104	36	strategies	strategy	NOUN
fbem-14591	104	37	neural	neural	ADJ
fbem-14591	104	38	networks	network	NOUN
fbem-14591	104	39	can	can	AUX
fbem-14591	104	40	handle	handle	VERB
fbem-14591	104	41	large	large	ADJ
fbem-14591	104	42	amounts	amount	NOUN
fbem-14591	104	43	,	,	PUNCT
fbem-14591	104	44	highdimensional	highdimensional	NOUN
fbem-14591	104	45	,	,	PUNCT
fbem-14591	104	46	and	and	CCONJ
fbem-14591	104	47	nonlinear	nonlinear	ADJ
fbem-14591	104	48	data	datum	NOUN
fbem-14591	104	49	,	,	PUNCT
fbem-14591	104	50	adapting	adapt	VERB
fbem-14591	104	51	to	to	ADP
fbem-14591	104	52	the	the	DET
fbem-14591	104	53	current	current	ADJ
fbem-14591	104	54	big	big	ADJ
fbem-14591	104	55	data	datum	NOUN
fbem-14591	104	56	environment	environment	NOUN
fbem-14591	104	57	.	.	PUNCT
fbem-14591	105	1	through	through	ADP
fbem-14591	105	2	continuous	continuous	ADJ
fbem-14591	105	3	learning	learning	NOUN
fbem-14591	105	4	and	and	CCONJ
fbem-14591	105	5	training	training	NOUN
fbem-14591	105	6	,	,	PUNCT
fbem-14591	105	7	neural	neural	ADJ
fbem-14591	105	8	networks	network	NOUN
fbem-14591	105	9	can	can	AUX
fbem-14591	105	10	automatically	automatically	ADV
fbem-14591	105	11	adjust	adjust	VERB
fbem-14591	105	12	their	their	PRON
fbem-14591	105	13	parameters	parameter	NOUN
fbem-14591	105	14	to	to	PART
fbem-14591	105	15	adapt	adapt	VERB
fbem-14591	105	16	to	to	ADP
fbem-14591	105	17	market	market	NOUN
fbem-14591	105	18	changes	change	NOUN
fbem-14591	105	19	.	.	PUNCT
fbem-14591	106	1	neural	neural	ADJ
fbem-14591	106	2	networks	network	NOUN
fbem-14591	106	3	can	can	AUX
fbem-14591	106	4	process	process	VERB
fbem-14591	106	5	multiple	multiple	ADJ
fbem-14591	106	6	sources	source	NOUN
fbem-14591	106	7	of	of	ADP
fbem-14591	106	8	information	information	NOUN
fbem-14591	106	9	,	,	PUNCT
fbem-14591	106	10	such	such	ADJ
fbem-14591	106	11	as	as	ADP
fbem-14591	106	12	fundamental	fundamental	ADJ
fbem-14591	106	13	,	,	PUNCT
fbem-14591	106	14	technical	technical	ADJ
fbem-14591	106	15	,	,	PUNCT
fbem-14591	106	16	and	and	CCONJ
fbem-14591	106	17	macroeconomic	macroeconomic	ADJ
fbem-14591	106	18	factors	factor	NOUN
fbem-14591	106	19	,	,	PUNCT
fbem-14591	106	20	providing	provide	VERB
fbem-14591	106	21	investors	investor	NOUN
fbem-14591	106	22	with	with	ADP
fbem-14591	106	23	a	a	DET
fbem-14591	106	24	comprehensive	comprehensive	ADJ
fbem-14591	106	25	prediction	prediction	NOUN
fbem-14591	106	26	.	.	PUNCT
fbem-14591	107	1	the	the	DET
fbem-14591	107	2	limitations	limitation	NOUN
fbem-14591	107	3	of	of	ADP
fbem-14591	107	4	neural	neural	ADJ
fbem-14591	107	5	network	network	NOUN
fbem-14591	107	6	model	model	NOUN
fbem-14591	107	7	strategies	strategy	NOUN
fbem-14591	107	8	can	can	AUX
fbem-14591	107	9	be	be	AUX
fbem-14591	107	10	divided	divide	VERB
fbem-14591	107	11	into	into	ADP
fbem-14591	107	12	:	:	PUNCT
fbem-14591	107	13	①	①	PROPN
fbem-14591	107	14	black	black	PROPN
fbem-14591	107	15	box	box	NOUN
fbem-14591	107	16	nature	nature	NOUN
fbem-14591	107	17	the	the	DET
fbem-14591	107	18	internal	internal	ADJ
fbem-14591	107	19	working	working	NOUN
fbem-14591	107	20	mechanism	mechanism	NOUN
fbem-14591	107	21	of	of	ADP
fbem-14591	107	22	neural	neural	ADJ
fbem-14591	107	23	networks	network	NOUN
fbem-14591	107	24	is	be	AUX
fbem-14591	107	25	relatively	relatively	ADV
fbem-14591	107	26	complex	complex	ADJ
fbem-14591	107	27	,	,	PUNCT
fbem-14591	107	28	making	make	VERB
fbem-14591	107	29	it	it	PRON
fbem-14591	107	30	difficult	difficult	ADJ
fbem-14591	107	31	to	to	PART
fbem-14591	107	32	explain	explain	VERB
fbem-14591	107	33	their	their	PRON
fbem-14591	107	34	decision	decision	NOUN
fbem-14591	107	35	-	-	PUNCT
fbem-14591	107	36	making	make	VERB
fbem-14591	107	37	process	process	NOUN
fbem-14591	107	38	.	.	PUNCT
fbem-14591	108	1	②	②	NUM
fbem-14591	108	2	overfitting	overfitte	VERB
fbem-14591	108	3	risk	risk	NOUN
fbem-14591	108	4	neural	neural	ADJ
fbem-14591	108	5	networks	network	NOUN
fbem-14591	108	6	may	may	AUX
fbem-14591	108	7	over	over	ADP
fbem-14591	108	8	adapt	adapt	VERB
fbem-14591	108	9	to	to	ADP
fbem-14591	108	10	training	train	VERB
fbem-14591	108	11	data	datum	NOUN
fbem-14591	108	12	when	when	SCONJ
fbem-14591	108	13	processing	process	VERB
fbem-14591	108	14	a	a	DET
fbem-14591	108	15	large	large	ADJ
fbem-14591	108	16	number	number	NOUN
fbem-14591	108	17	of	of	ADP
fbem-14591	108	18	parameters	parameter	NOUN
fbem-14591	108	19	,	,	PUNCT
fbem-14591	108	20	resulting	result	VERB
fbem-14591	108	21	in	in	ADP
fbem-14591	108	22	poor	poor	ADJ
fbem-14591	108	23	performance	performance	NOUN
fbem-14591	108	24	in	in	ADP
fbem-14591	108	25	the	the	DET
fbem-14591	108	26	real	real	ADJ
fbem-14591	108	27	market	market	NOUN
fbem-14591	108	28	.	.	PUNCT
fbem-14591	109	1	③	③	NUM
fbem-14591	109	2	computing	compute	VERB
fbem-14591	109	3	resource	resource	NOUN
fbem-14591	109	4	requirements	requirement	NOUN
fbem-14591	109	5	deep	deep	ADJ
fbem-14591	109	6	neural	neural	ADJ
fbem-14591	109	7	network	network	NOUN
fbem-14591	109	8	models	model	NOUN
fbem-14591	109	9	may	may	AUX
fbem-14591	109	10	require	require	VERB
fbem-14591	109	11	a	a	DET
fbem-14591	109	12	significant	significant	ADJ
fbem-14591	109	13	amount	amount	NOUN
fbem-14591	109	14	of	of	ADP
fbem-14591	109	15	computational	computational	ADJ
fbem-14591	109	16	resources	resource	NOUN
fbem-14591	109	17	and	and	CCONJ
fbem-14591	109	18	time	time	NOUN
fbem-14591	109	19	for	for	ADP
fbem-14591	109	20	training	training	NOUN
fbem-14591	109	21	.	.	PUNCT
fbem-14591	110	1	although	although	SCONJ
fbem-14591	110	2	neural	neural	ADJ
fbem-14591	110	3	network	network	NOUN
fbem-14591	110	4	models	model	NOUN
fbem-14591	110	5	have	have	AUX
fbem-14591	110	6	shown	show	VERB
fbem-14591	110	7	certain	certain	ADJ
fbem-14591	110	8	advantages	advantage	NOUN
fbem-14591	110	9	in	in	ADP
fbem-14591	110	10	bond	bond	NOUN
fbem-14591	110	11	investment	investment	NOUN
fbem-14591	110	12	prediction	prediction	NOUN
fbem-14591	110	13	,	,	PUNCT
fbem-14591	110	14	investors	investor	NOUN
fbem-14591	110	15	still	still	ADV
fbem-14591	110	16	need	need	VERB
fbem-14591	110	17	to	to	PART
fbem-14591	110	18	pay	pay	VERB
fbem-14591	110	19	attention	attention	NOUN
fbem-14591	110	20	to	to	ADP
fbem-14591	110	21	the	the	DET
fbem-14591	110	22	limitations	limitation	NOUN
fbem-14591	110	23	of	of	ADP
fbem-14591	110	24	the	the	DET
fbem-14591	110	25	model	model	NOUN
fbem-14591	110	26	and	and	CCONJ
fbem-14591	110	27	combine	combine	VERB
fbem-14591	110	28	it	it	PRON
fbem-14591	110	29	with	with	ADP
fbem-14591	110	30	other	other	ADJ
fbem-14591	110	31	information	information	NOUN
fbem-14591	110	32	and	and	CCONJ
fbem-14591	110	33	tools	tool	NOUN
fbem-14591	110	34	to	to	PART
fbem-14591	110	35	make	make	VERB
fbem-14591	110	36	decisions	decision	NOUN
fbem-14591	110	37	.	.	PUNCT
fbem-14591	111	1	5	5	X
fbem-14591	111	2	.	.	X
fbem-14591	111	3	conclusions	conclusion	NOUN
fbem-14591	111	4	cnn	cnn	PROPN
fbem-14591	111	5	is	be	AUX
fbem-14591	111	6	a	a	DET
fbem-14591	111	7	cornerstone	cornerstone	NOUN
fbem-14591	111	8	in	in	ADP
fbem-14591	111	9	the	the	DET
fbem-14591	111	10	field	field	NOUN
fbem-14591	111	11	of	of	ADP
fbem-14591	111	12	deep	deep	ADJ
fbem-14591	111	13	learning	learning	NOUN
fbem-14591	111	14	,	,	PUNCT
fbem-14591	111	15	especially	especially	ADV
fbem-14591	111	16	when	when	SCONJ
fbem-14591	111	17	dealing	deal	VERB
fbem-14591	111	18	with	with	ADP
fbem-14591	111	19	data	datum	NOUN
fbem-14591	111	20	with	with	ADP
fbem-14591	111	21	grid	grid	NOUN
fbem-14591	111	22	structure	structure	NOUN
fbem-14591	111	23	such	such	ADJ
fbem-14591	111	24	as	as	ADP
fbem-14591	111	25	images	image	NOUN
fbem-14591	111	26	and	and	CCONJ
fbem-14591	111	27	videos	video	NOUN
fbem-14591	111	28	.	.	PUNCT
fbem-14591	112	1	its	its	PRON
fbem-14591	112	2	core	core	NOUN
fbem-14591	112	3	advantage	advantage	NOUN
fbem-14591	112	4	lies	lie	VERB
fbem-14591	112	5	in	in	ADP
fbem-14591	112	6	its	its	PRON
fbem-14591	112	7	design	design	NOUN
fbem-14591	112	8	principle	principle	NOUN
fbem-14591	112	9	,	,	PUNCT
fbem-14591	112	10	which	which	PRON
fbem-14591	112	11	makes	make	VERB
fbem-14591	112	12	it	it	PRON
fbem-14591	112	13	especially	especially	ADV
fbem-14591	112	14	suitable	suitable	ADJ
fbem-14591	112	15	for	for	ADP
fbem-14591	112	16	processing	process	VERB
fbem-14591	112	17	this	this	DET
fbem-14591	112	18	kind	kind	NOUN
fbem-14591	112	19	of	of	ADP
fbem-14591	112	20	data	datum	NOUN
fbem-14591	112	21	.	.	PUNCT
fbem-14591	113	1	firstly	firstly	ADV
fbem-14591	113	2	,	,	PUNCT
fbem-14591	113	3	the	the	DET
fbem-14591	113	4	parameter	parameter	NOUN
fbem-14591	113	5	sharing	sharing	NOUN
fbem-14591	113	6	mechanism	mechanism	NOUN
fbem-14591	113	7	ensures	ensure	VERB
fbem-14591	113	8	that	that	SCONJ
fbem-14591	113	9	cnn	cnn	PROPN
fbem-14591	113	10	uses	use	VERB
fbem-14591	113	11	the	the	DET
fbem-14591	113	12	same	same	ADJ
fbem-14591	113	13	feature	feature	NOUN
fbem-14591	113	14	detector	detector	NOUN
fbem-14591	113	15	in	in	ADP
fbem-14591	113	16	all	all	DET
fbem-14591	113	17	locations	location	NOUN
fbem-14591	113	18	,	,	PUNCT
fbem-14591	113	19	thus	thus	ADV
fbem-14591	113	20	greatly	greatly	ADV
fbem-14591	113	21	reducing	reduce	VERB
fbem-14591	113	22	the	the	DET
fbem-14591	113	23	number	number	NOUN
fbem-14591	113	24	of	of	ADP
fbem-14591	113	25	parameters	parameter	NOUN
fbem-14591	113	26	required	require	VERB
fbem-14591	113	27	by	by	ADP
fbem-14591	113	28	the	the	DET
fbem-14591	113	29	model	model	NOUN
fbem-14591	113	30	.	.	PUNCT
fbem-14591	114	1	this	this	PRON
fbem-14591	114	2	not	not	PART
fbem-14591	114	3	only	only	ADV
fbem-14591	114	4	reduces	reduce	VERB
fbem-14591	114	5	the	the	DET
fbem-14591	114	6	computational	computational	ADJ
fbem-14591	114	7	burden	burden	NOUN
fbem-14591	114	8	,	,	PUNCT
fbem-14591	114	9	but	but	CCONJ
fbem-14591	114	10	also	also	ADV
fbem-14591	114	11	enhances	enhance	VERB
fbem-14591	114	12	the	the	DET
fbem-14591	114	13	generalization	generalization	NOUN
fbem-14591	114	14	ability	ability	NOUN
fbem-14591	114	15	of	of	ADP
fbem-14591	114	16	the	the	DET
fbem-14591	114	17	model	model	NOUN
fbem-14591	114	18	,	,	PUNCT
fbem-14591	114	19	because	because	SCONJ
fbem-14591	114	20	the	the	DET
fbem-14591	114	21	same	same	ADJ
fbem-14591	114	22	feature	feature	NOUN
fbem-14591	114	23	can	can	AUX
fbem-14591	114	24	be	be	AUX
fbem-14591	114	25	effectively	effectively	ADV
fbem-14591	114	26	detected	detect	VERB
fbem-14591	114	27	in	in	ADP
fbem-14591	114	28	multiple	multiple	ADJ
fbem-14591	114	29	locations	location	NOUN
fbem-14591	114	30	.	.	PUNCT
fbem-14591	115	1	secondly	secondly	ADV
fbem-14591	115	2	,	,	PUNCT
fbem-14591	115	3	local	local	ADJ
fbem-14591	115	4	perception	perception	NOUN
fbem-14591	115	5	ability	ability	NOUN
fbem-14591	115	6	allows	allow	VERB
fbem-14591	115	7	each	each	DET
fbem-14591	115	8	neuron	neuron	NOUN
fbem-14591	115	9	to	to	PART
fbem-14591	115	10	focus	focus	VERB
fbem-14591	115	11	on	on	ADP
fbem-14591	115	12	a	a	DET
fbem-14591	115	13	small	small	ADJ
fbem-14591	115	14	part	part	NOUN
fbem-14591	115	15	of	of	ADP
fbem-14591	115	16	the	the	DET
fbem-14591	115	17	input	input	NOUN
fbem-14591	115	18	data	datum	NOUN
fbem-14591	115	19	and	and	CCONJ
fbem-14591	115	20	capture	capture	VERB
fbem-14591	115	21	local	local	ADJ
fbem-14591	115	22	information	information	NOUN
fbem-14591	115	23	and	and	CCONJ
fbem-14591	115	24	patterns	pattern	NOUN
fbem-14591	115	25	.	.	PUNCT
fbem-14591	116	1	this	this	PRON
fbem-14591	116	2	is	be	AUX
fbem-14591	116	3	based	base	VERB
fbem-14591	116	4	on	on	ADP
fbem-14591	116	5	the	the	DET
fbem-14591	116	6	natural	natural	ADJ
fbem-14591	116	7	properties	property	NOUN
fbem-14591	116	8	of	of	ADP
fbem-14591	116	9	images	image	NOUN
fbem-14591	116	10	and	and	CCONJ
fbem-14591	116	11	other	other	ADJ
fbem-14591	116	12	grid	grid	NOUN
fbem-14591	116	13	-	-	PUNCT
fbem-14591	116	14	like	like	ADJ
fbem-14591	116	15	data	datum	NOUN
fbem-14591	116	16	,	,	PUNCT
fbem-14591	116	17	that	that	ADV
fbem-14591	116	18	is	is	ADV
fbem-14591	116	19	,	,	PUNCT
fbem-14591	116	20	local	local	ADJ
fbem-14591	116	21	data	data	NOUN
fbem-14591	116	22	parts	part	NOUN
fbem-14591	116	23	often	often	ADV
fbem-14591	116	24	contain	contain	VERB
fbem-14591	116	25	meaningful	meaningful	ADJ
fbem-14591	116	26	information	information	NOUN
fbem-14591	116	27	.	.	PUNCT
fbem-14591	117	1	furthermore	furthermore	ADV
fbem-14591	117	2	,	,	PUNCT
fbem-14591	117	3	this	this	DET
fbem-14591	117	4	local	local	ADJ
fbem-14591	117	5	perception	perception	NOUN
fbem-14591	117	6	and	and	CCONJ
fbem-14591	117	7	parameter	parameter	NOUN
fbem-14591	117	8	sharing	sharing	NOUN
fbem-14591	117	9	also	also	ADV
fbem-14591	117	10	lead	lead	VERB
fbem-14591	117	11	to	to	ADP
fbem-14591	117	12	translation	translation	NOUN
fbem-14591	117	13	invariance	invariance	NOUN
fbem-14591	117	14	of	of	ADP
fbem-14591	117	15	the	the	DET
fbem-14591	117	16	model	model	NOUN
fbem-14591	117	17	,	,	PUNCT
fbem-14591	117	18	which	which	PRON
fbem-14591	117	19	means	mean	VERB
fbem-14591	117	20	that	that	SCONJ
fbem-14591	117	21	cnn	cnn	PROPN
fbem-14591	117	22	can	can	AUX
fbem-14591	117	23	identify	identify	VERB
fbem-14591	117	24	the	the	DET
fbem-14591	117	25	feature	feature	NOUN
fbem-14591	117	26	no	no	ADV
fbem-14591	117	27	matter	matter	ADV
fbem-14591	117	28	where	where	SCONJ
fbem-14591	117	29	it	it	PRON
fbem-14591	117	30	appears	appear	VERB
fbem-14591	117	31	in	in	ADP
fbem-14591	117	32	the	the	DET
fbem-14591	117	33	input	input	NOUN
fbem-14591	117	34	.	.	PUNCT
fbem-14591	118	1	this	this	PRON
fbem-14591	118	2	is	be	AUX
fbem-14591	118	3	very	very	ADV
fbem-14591	118	4	important	important	ADJ
fbem-14591	118	5	for	for	ADP
fbem-14591	118	6	tasks	task	NOUN
fbem-14591	118	7	such	such	ADJ
fbem-14591	118	8	as	as	ADP
fbem-14591	118	9	image	image	NOUN
fbem-14591	118	10	recognition	recognition	NOUN
fbem-14591	118	11	,	,	PUNCT
fbem-14591	118	12	because	because	SCONJ
fbem-14591	118	13	the	the	DET
fbem-14591	118	14	same	same	ADJ
fbem-14591	118	15	object	object	NOUN
fbem-14591	118	16	may	may	AUX
fbem-14591	118	17	appear	appear	VERB
fbem-14591	118	18	anywhere	anywhere	ADV
fbem-14591	118	19	in	in	ADP
fbem-14591	118	20	the	the	DET
fbem-14591	118	21	image	image	NOUN
fbem-14591	118	22	.	.	PUNCT
fbem-14591	119	1	the	the	DET
fbem-14591	119	2	design	design	NOUN
fbem-14591	119	3	principles	principle	NOUN
fbem-14591	119	4	,	,	PUNCT
fbem-14591	119	5	structure	structure	NOUN
fbem-14591	119	6	and	and	CCONJ
fbem-14591	119	7	variants	variant	NOUN
fbem-14591	119	8	of	of	ADP
fbem-14591	119	9	cnn	cnn	PROPN
fbem-14591	119	10	have	have	AUX
fbem-14591	119	11	made	make	VERB
fbem-14591	119	12	it	it	PRON
fbem-14591	119	13	a	a	DET
fbem-14591	119	14	great	great	ADJ
fbem-14591	119	15	success	success	NOUN
fbem-14591	119	16	in	in	ADP
fbem-14591	119	17	computer	computer	NOUN
fbem-14591	119	18	vision	vision	NOUN
fbem-14591	119	19	and	and	CCONJ
fbem-14591	119	20	other	other	ADJ
fbem-14591	119	21	related	related	ADJ
fbem-14591	119	22	fields	field	NOUN
fbem-14591	119	23	.	.	PUNCT
fbem-14591	120	1	as	as	ADP
fbem-14591	120	2	the	the	DET
fbem-14591	120	3	preferred	preferred	ADJ
fbem-14591	120	4	tool	tool	NOUN
fbem-14591	120	5	for	for	ADP
fbem-14591	120	6	processing	process	VERB
fbem-14591	120	7	grid	grid	NOUN
fbem-14591	120	8	data	datum	NOUN
fbem-14591	120	9	,	,	PUNCT
fbem-14591	120	10	cnn	cnn	PROPN
fbem-14591	120	11	has	have	AUX
fbem-14591	120	12	become	become	VERB
fbem-14591	120	13	the	the	DET
fbem-14591	120	14	core	core	ADJ
fbem-14591	120	15	part	part	NOUN
fbem-14591	120	16	of	of	ADP
fbem-14591	120	17	modern	modern	ADJ
fbem-14591	120	18	deep	deep	ADJ
fbem-14591	120	19	learning	learning	NOUN
fbem-14591	120	20	framework	framework	NOUN
fbem-14591	120	21	and	and	CCONJ
fbem-14591	120	22	application	application	NOUN
fbem-14591	120	23	.	.	PUNCT
fbem-14591	121	1	references	reference	NOUN
fbem-14591	121	2	[	[	X
fbem-14591	121	3	1	1	NUM
fbem-14591	121	4	]	]	X
fbem-14591	121	5	wu	wu	PROPN
fbem-14591	121	6	z	z	PROPN
fbem-14591	121	7	,	,	PUNCT
fbem-14591	121	8	qiao	qiao	PROPN
fbem-14591	121	9	y	y	PROPN
fbem-14591	121	10	,	,	PUNCT
fbem-14591	121	11	huang	huang	PROPN
fbem-14591	121	12	s	s	PROPN
fbem-14591	121	13	,	,	PUNCT
fbem-14591	121	14	et	et	PROPN
fbem-14591	121	15	al.cvar	al.cvar	NOUN
fbem-14591	121	16	prediction	prediction	NOUN
fbem-14591	121	17	model	model	NOUN
fbem-14591	121	18	of	of	ADP
fbem-14591	121	19	the	the	DET
fbem-14591	121	20	investment	investment	NOUN
fbem-14591	121	21	portfolio	portfolio	NOUN
fbem-14591	121	22	based	base	VERB
fbem-14591	121	23	on	on	ADP
fbem-14591	121	24	the	the	DET
fbem-14591	121	25	convolutional	convolutional	ADJ
fbem-14591	121	26	neural	neural	ADJ
fbem-14591	121	27	network	network	NOUN
fbem-14591	121	28	facilitates	facilitate	VERB
fbem-14591	121	29	the	the	DET
fbem-14591	121	30	risk	risk	NOUN
fbem-14591	121	31	management	management	NOUN
fbem-14591	121	32	of	of	ADP
fbem-14591	121	33	the	the	DET
fbem-14591	121	34	financial	financial	ADJ
fbem-14591	121	35	market[j].journal	market[j].journal	NOUN
fbem-14591	121	36	of	of	ADP
fbem-14591	121	37	global	global	ADJ
fbem-14591	121	38	information	information	NOUN
fbem-14591	121	39	management	management	NOUN
fbem-14591	121	40	,	,	PUNCT
fbem-14591	121	41	2022	2022	NUM
fbem-14591	121	42	,	,	PUNCT
fbem-14591	121	43	25(11):31	25(11):31	NUM
fbem-14591	121	44	-	-	SYM
fbem-14591	121	45	36	36	NUM
fbem-14591	121	46	.	.	PUNCT
fbem-14591	122	1	[	[	X
fbem-14591	122	2	2	2	NUM
fbem-14591	122	3	]	]	SYM
fbem-14591	122	4	li	li	PROPN
fbem-14591	122	5	y	y	PROPN
fbem-14591	122	6	,	,	PUNCT
fbem-14591	122	7	you	you	PRON
fbem-14591	122	8	c.adaptive	c.adaptive	ADJ
fbem-14591	122	9	trading	trading	NOUN
fbem-14591	122	10	system	system	NOUN
fbem-14591	122	11	based	base	VERB
fbem-14591	122	12	on	on	ADP
fbem-14591	122	13	lstm	lstm	PROPN
fbem-14591	122	14	neural	neural	ADJ
fbem-14591	122	15	network[j].journal	network[j].journal	ADJ
fbem-14591	122	16	of	of	ADP
fbem-14591	122	17	physics	physics	NOUN
fbem-14591	122	18	:	:	PUNCT
fbem-14591	122	19	conference	conference	NOUN
fbem-14591	122	20	series	series	NOUN
fbem-14591	122	21	,	,	PUNCT
fbem-14591	122	22	2021	2021	NUM
fbem-14591	122	23	,	,	PUNCT
fbem-14591	122	24	1982(1):012091	1982(1):012091	NUM
fbem-14591	122	25	-	-	SYM
fbem-14591	122	26	012099	012099	NUM
fbem-14591	122	27	.	.	PUNCT
fbem-14591	123	1	[	[	X
fbem-14591	123	2	3	3	X
fbem-14591	123	3	]	]	X
fbem-14591	123	4	jiasheng	jiasheng	PROPN
fbem-14591	123	5	c	c	PROPN
fbem-14591	123	6	,	,	PUNCT
fbem-14591	123	7	jinghan	jinghan	AUX
fbem-14591	123	8	w.stock	w.stock	NOUN
fbem-14591	123	9	price	price	NOUN
fbem-14591	123	10	forecasting	forecasting	NOUN
fbem-14591	123	11	model	model	NOUN
fbem-14591	123	12	based	base	VERB
fbem-14591	123	13	on	on	ADP
fbem-14591	123	14	modified	modified	ADJ
fbem-14591	123	15	convolution	convolution	NOUN
fbem-14591	123	16	neural	neural	ADJ
fbem-14591	123	17	network	network	NOUN
fbem-14591	123	18	and	and	CCONJ
fbem-14591	123	19	financial	financial	ADJ
fbem-14591	123	20	time	time	NOUN
fbem-14591	123	21	series	series	PROPN
fbem-14591	123	22	analysis[j].international	analysis[j].international	PROPN
fbem-14591	123	23	journal	journal	PROPN
fbem-14591	123	24	of	of	ADP
fbem-14591	123	25	communication	communication	NOUN
fbem-14591	123	26	systems	system	NOUN
fbem-14591	123	27	,	,	PUNCT
fbem-14591	123	28	2019	2019	NUM
fbem-14591	123	29	,	,	PUNCT
fbem-14591	123	30	32(12):e3987	32(12):e3987	NUM
fbem-14591	123	31	-	-	PUNCT
fbem-14591	123	32	e3991	e3991	ADJ
fbem-14591	123	33	.	.	PUNCT
fbem-14591	124	1	[	[	X
fbem-14591	124	2	4	4	X
fbem-14591	124	3	]	]	PUNCT
fbem-14591	124	4	chu	chu	NOUN
fbem-14591	124	5	h.an	h.an	PROPN
fbem-14591	124	6	empirical	empirical	ADJ
fbem-14591	124	7	analysis	analysis	NOUN
fbem-14591	124	8	of	of	ADP
fbem-14591	124	9	corporate	corporate	ADJ
fbem-14591	124	10	financial	financial	ADJ
fbem-14591	124	11	management	management	NOUN
fbem-14591	124	12	risk	risk	NOUN
fbem-14591	124	13	prediction	prediction	NOUN
fbem-14591	124	14	based	base	VERB
fbem-14591	124	15	on	on	ADP
fbem-14591	124	16	associative	associative	ADJ
fbem-14591	124	17	memory	memory	NOUN
fbem-14591	124	18	39	39	NUM
fbem-14591	124	19	neural	neural	ADJ
fbem-14591	124	20	network	network	NOUN
fbem-14591	124	21	[	[	X
fbem-14591	124	22	j	j	X
fbem-14591	124	23	]	]	X
fbem-14591	124	24	.	.	PUNCT
fbem-14591	125	1	computational	computational	ADJ
fbem-14591	125	2	intelligence	intelligence	NOUN
fbem-14591	125	3	and	and	CCONJ
fbem-14591	125	4	neuroscience	neuroscience	NOUN
fbem-14591	125	5	,	,	PUNCT
fbem-14591	125	6	2021	2021	NUM
fbem-14591	125	7	,	,	PUNCT
fbem-14591	125	8	20(5):43	20(5):43	PROPN
fbem-14591	125	9	-	-	NOUN
fbem-14591	125	10	46	46	NUM
fbem-14591	125	11	.	.	PUNCT
fbem-14591	126	1	[	[	X
fbem-14591	126	2	5	5	X
fbem-14591	126	3	]	]	PUNCT
fbem-14591	126	4	jin	jin	NOUN
fbem-14591	126	5	q	q	PROPN
fbem-14591	126	6	l	l	NOUN
fbem-14591	126	7	h.impact	h.impact	ADJ
fbem-14591	126	8	of	of	ADP
fbem-14591	126	9	cost	cost	NOUN
fbem-14591	126	10	-	-	PUNCT
fbem-14591	126	11	benefit	benefit	NOUN
fbem-14591	126	12	analysis	analysis	NOUN
fbem-14591	126	13	on	on	ADP
fbem-14591	126	14	financial	financial	ADJ
fbem-14591	126	15	benefit	benefit	NOUN
fbem-14591	126	16	evaluation	evaluation	NOUN
fbem-14591	126	17	of	of	ADP
fbem-14591	126	18	investment	investment	NOUN
fbem-14591	126	19	projects	project	NOUN
fbem-14591	126	20	under	under	ADP
fbem-14591	126	21	back	back	ADJ
fbem-14591	126	22	propagation	propagation	NOUN
fbem-14591	126	23	neural	neural	ADJ
fbem-14591	126	24	network	network	NOUN
fbem-14591	127	1	[	[	X
fbem-14591	127	2	j	j	X
fbem-14591	127	3	]	]	X
fbem-14591	127	4	.	.	PUNCT
fbem-14591	128	1	journal	journal	PROPN
fbem-14591	128	2	of	of	ADP
fbem-14591	128	3	computational	computational	ADJ
fbem-14591	128	4	and	and	CCONJ
fbem-14591	128	5	applied	applied	ADJ
fbem-14591	128	6	mathematics	mathematic	NOUN
fbem-14591	128	7	,	,	PUNCT
fbem-14591	128	8	2021	2021	NUM
fbem-14591	128	9	,	,	PUNCT
fbem-14591	128	10	384(1):20	384(1):20	NUM
fbem-14591	128	11	-	-	SYM
fbem-14591	128	12	26	26	NUM
fbem-14591	128	13	.	.	PUNCT
fbem-14591	129	1	[	[	X
fbem-14591	129	2	6	6	NUM
fbem-14591	129	3	]	]	PUNCT
fbem-14591	129	4	jin	jin	NOUN
fbem-14591	129	5	x	x	X
fbem-14591	129	6	,	,	PUNCT
fbem-14591	129	7	liu	liu	PROPN
fbem-14591	129	8	q	q	NOUN
fbem-14591	129	9	,	,	PUNCT
fbem-14591	129	10	long	long	ADV
fbem-14591	129	11	h.impact	h.impact	ADV
fbem-14591	129	12	of	of	ADP
fbem-14591	129	13	cost	cost	NOUN
fbem-14591	129	14	-	-	PUNCT
fbem-14591	129	15	benefit	benefit	NOUN
fbem-14591	129	16	analysis	analysis	NOUN
fbem-14591	129	17	on	on	ADP
fbem-14591	129	18	financial	financial	ADJ
fbem-14591	129	19	benefit	benefit	NOUN
fbem-14591	129	20	evaluation	evaluation	NOUN
fbem-14591	129	21	of	of	ADP
fbem-14591	129	22	investment	investment	NOUN
fbem-14591	129	23	projects	project	NOUN
fbem-14591	129	24	under	under	ADP
fbem-14591	129	25	back	back	NOUN
fbem-14591	129	26	propagation	propagation	NOUN
fbem-14591	129	27	neural	neural	ADJ
fbem-14591	129	28	network[j].journal	network[j].journal	ADJ
fbem-14591	129	29	of	of	ADP
fbem-14591	129	30	computational	computational	ADJ
fbem-14591	129	31	and	and	CCONJ
fbem-14591	129	32	applied	applied	ADJ
fbem-14591	129	33	mathematics	mathematic	NOUN
fbem-14591	129	34	,	,	PUNCT
fbem-14591	129	35	2020	2020	NUM
fbem-14591	129	36	,	,	PUNCT
fbem-14591	129	37	384(2):113172	384(2):113172	PROPN
fbem-14591	129	38	-	-	SYM
fbem-14591	129	39	113179	113179	NUM
fbem-14591	129	40	.	.	PUNCT
fbem-14591	130	1	[	[	X
fbem-14591	130	2	7	7	X
fbem-14591	130	3	]	]	PUNCT
fbem-14591	130	4	amellas	amellas	NOUN
fbem-14591	130	5	y	y	PROPN
fbem-14591	130	6	,	,	PUNCT
fbem-14591	130	7	bakkali	bakkali	VERB
fbem-14591	130	8	o	o	PROPN
fbem-14591	130	9	e	e	NOUN
fbem-14591	130	10	,	,	PUNCT
fbem-14591	130	11	djebil	djebil	VERB
fbem-14591	130	12	a	a	DET
fbem-14591	130	13	,	,	PUNCT
fbem-14591	130	14	et	et	NOUN
fbem-14591	130	15	al.short	al.short	NOUN
fbem-14591	130	16	-	-	PUNCT
fbem-14591	130	17	term	term	NOUN
fbem-14591	130	18	wind	wind	NOUN
fbem-14591	130	19	speed	speed	NOUN
fbem-14591	130	20	prediction	prediction	NOUN
fbem-14591	130	21	based	base	VERB
fbem-14591	130	22	on	on	ADP
fbem-14591	130	23	mlp	mlp	PROPN
fbem-14591	130	24	and	and	CCONJ
fbem-14591	130	25	narx	narx	NOUN
fbem-14591	130	26	network	network	NOUN
fbem-14591	130	27	models	model	NOUN
fbem-14591	130	28	keywords	keyword	NOUN
fbem-14591	130	29	:	:	PUNCT
fbem-14591	130	30	artificial	artificial	ADJ
fbem-14591	130	31	neural	neural	ADJ
fbem-14591	130	32	network	network	NOUN
fbem-14591	130	33	daily	daily	ADJ
fbem-14591	130	34	prediction	prediction	NOUN
fbem-14591	130	35	multilayer	multilayer	PROPN
fbem-14591	130	36	perceptron	perceptron	PROPN
fbem-14591	130	37	(	(	PUNCT
fbem-14591	130	38	mlp	mlp	PROPN
fbem-14591	130	39	)	)	PUNCT
fbem-14591	130	40	narx	narx	PROPN
fbem-14591	130	41	recurrent	recurrent	ADJ
fbem-14591	130	42	neural	neural	ADJ
fbem-14591	130	43	network	network	NOUN
fbem-14591	130	44	(	(	PUNCT
fbem-14591	130	45	rnn)[j	rnn)[j	NOUN
fbem-14591	130	46	]	]	PUNCT
fbem-14591	130	47	.	.	PUNCT
fbem-14591	131	1	2020	2020	NUM
fbem-14591	131	2	,	,	PUNCT
fbem-14591	131	3	22(5):11	22(5):11	NUM
fbem-14591	131	4	-	-	SYM
fbem-14591	131	5	17	17	NUM
fbem-14591	131	6	.	.	PUNCT
fbem-14591	132	1	[	[	X
fbem-14591	132	2	8	8	NUM
fbem-14591	132	3	]	]	X
fbem-14591	132	4	teng	teng	PROPN
fbem-14591	132	5	y	y	PROPN
fbem-14591	132	6	,	,	PUNCT
fbem-14591	132	7	li	li	PROPN
fbem-14591	132	8	y	y	PROPN
fbem-14591	132	9	,	,	PUNCT
fbem-14591	132	10	wu	wu	PROPN
fbem-14591	132	11	x.option	x.option	PROPN
fbem-14591	132	12	volatility	volatility	NOUN
fbem-14591	132	13	investment	investment	NOUN
fbem-14591	132	14	strategy	strategy	NOUN
fbem-14591	132	15	:	:	PUNCT
fbem-14591	132	16	the	the	DET
fbem-14591	132	17	combination	combination	NOUN
fbem-14591	132	18	of	of	ADP
fbem-14591	132	19	neural	neural	ADJ
fbem-14591	132	20	network	network	NOUN
fbem-14591	132	21	and	and	CCONJ
fbem-14591	132	22	classical	classical	ADJ
fbem-14591	132	23	volatility	volatility	NOUN
fbem-14591	132	24	prediction	prediction	NOUN
fbem-14591	132	25	model[j].discrete	model[j].discrete	NOUN
fbem-14591	132	26	dynamics	dynamic	NOUN
fbem-14591	132	27	in	in	ADP
fbem-14591	132	28	nature	nature	NOUN
fbem-14591	132	29	and	and	CCONJ
fbem-14591	132	30	society	society	NOUN
fbem-14591	132	31	,	,	PUNCT
fbem-14591	132	32	2022	2022	NUM
fbem-14591	132	33	,	,	PUNCT
fbem-14591	132	34	20(2):9	20(2):9	PROPN
fbem-14591	132	35	-	-	SYM
fbem-14591	132	36	17	17	NUM
fbem-14591	132	37	.	.	PUNCT
fbem-14591	133	1	[	[	X
fbem-14591	133	2	9	9	NUM
fbem-14591	133	3	]	]	X
fbem-14591	133	4	zhang	zhang	PROPN
fbem-14591	133	5	c	c	PROPN
fbem-14591	133	6	,	,	PUNCT
fbem-14591	133	7	chun	chun	PROPN
fbem-14591	133	8	q	q	PROPN
fbem-14591	133	9	,	,	PUNCT
fbem-14591	133	10	sun	sun	PROPN
fbem-14591	133	11	a	a	PRON
fbem-14591	133	12	,	,	PUNCT
fbem-14591	133	13	et	et	PROPN
fbem-14591	133	14	al.improved	al.improve	VERB
fbem-14591	133	15	meta	meta	ADJ
fbem-14591	133	16	-	-	PUNCT
fbem-14591	133	17	learning	learn	VERB
fbem-14591	133	18	neural	neural	ADJ
fbem-14591	133	19	network	network	NOUN
fbem-14591	133	20	for	for	ADP
fbem-14591	133	21	the	the	DET
fbem-14591	133	22	prediction	prediction	NOUN
fbem-14591	133	23	of	of	ADP
fbem-14591	133	24	the	the	DET
fbem-14591	133	25	historical	historical	ADJ
fbem-14591	133	26	reinforced	reinforce	VERB
fbem-14591	133	27	concrete	concrete	ADJ
fbem-14591	133	28	bond	bond	NOUN
fbem-14591	133	29	–	–	PUNCT
fbem-14591	133	30	slip	slip	NOUN
fbem-14591	133	31	model	model	NOUN
fbem-14591	133	32	using	use	VERB
fbem-14591	133	33	few	few	ADJ
fbem-14591	133	34	test	test	NOUN
fbem-14591	133	35	specimens	specimen	NOUN
fbem-14591	134	1	[	[	X
fbem-14591	134	2	j	j	X
fbem-14591	134	3	]	]	X
fbem-14591	134	4	.	.	PUNCT
fbem-14591	135	1	international	international	ADJ
fbem-14591	135	2	journal	journal	PROPN
fbem-14591	135	3	of	of	ADP
fbem-14591	135	4	concrete	concrete	ADJ
fbem-14591	135	5	structures	structure	NOUN
fbem-14591	135	6	and	and	CCONJ
fbem-14591	135	7	materials	material	NOUN
fbem-14591	135	8	,	,	PUNCT
fbem-14591	135	9	2022	2022	NUM
fbem-14591	135	10	,	,	PUNCT
fbem-14591	135	11	16(5):11	16(5):11	NUM
fbem-14591	135	12	-	-	SYM
fbem-14591	135	13	18	18	NUM
fbem-14591	135	14	.	.	PUNCT
fbem-14591	136	1	[	[	X
fbem-14591	136	2	10	10	NUM
fbem-14591	136	3	]	]	X
fbem-14591	136	4	jo	jo	PROPN
fbem-14591	136	5	j	j	PROPN
fbem-14591	136	6	,	,	PUNCT
fbem-14591	136	7	kwak	kwak	PROPN
fbem-14591	136	8	b	b	PROPN
fbem-14591	136	9	,	,	PUNCT
fbem-14591	136	10	lee	lee	PROPN
fbem-14591	136	11	b	b	PROPN
fbem-14591	136	12	,	,	PUNCT
fbem-14591	136	13	et	et	PROPN
fbem-14591	136	14	al.flexible	al.flexible	ADJ
fbem-14591	136	15	dual	dual	ADV
fbem-14591	136	16	-	-	PUNCT
fbem-14591	136	17	branched	branch	VERB
fbem-14591	136	18	message	message	NOUN
fbem-14591	136	19	passing	pass	VERB
fbem-14591	136	20	neural	neural	ADJ
fbem-14591	136	21	network	network	NOUN
fbem-14591	136	22	for	for	ADP
fbem-14591	136	23	quantum	quantum	ADJ
fbem-14591	136	24	mechanical	mechanical	ADJ
fbem-14591	136	25	property	property	NOUN
fbem-14591	136	26	prediction	prediction	NOUN
fbem-14591	136	27	with	with	ADP
fbem-14591	136	28	molecular	molecular	ADJ
fbem-14591	136	29	conformation[j	conformation[j	NOUN
fbem-14591	136	30	]	]	PUNCT
fbem-14591	136	31	.	.	PUNCT
fbem-14591	136	32	2021	2021	NUM
fbem-14591	136	33	,	,	PUNCT
fbem-14591	136	34	11:10	11:10	NUM
fbem-14591	136	35	-	-	SYM
fbem-14591	136	36	13	13	NUM
fbem-14591	136	37	.	.	PUNCT