id	sid	tid	token	lemma	pos
fbem-26874	1	1	frontiers	frontier	NOUN
fbem-26874	1	2	in	in	ADP
fbem-26874	1	3	business	business	NOUN
fbem-26874	1	4	,	,	PUNCT
fbem-26874	1	5	economics	economic	NOUN
fbem-26874	1	6	and	and	CCONJ
fbem-26874	1	7	management	management	NOUN
fbem-26874	1	8	issn	issn	PROPN
fbem-26874	1	9	:	:	PUNCT
fbem-26874	1	10	2766	2766	NUM
fbem-26874	1	11	-	-	PUNCT
fbem-26874	1	12	824x	824x	NUM
fbem-26874	1	13	|	|	ADJ
fbem-26874	1	14	vol	vol	NOUN
fbem-26874	1	15	.	.	PROPN
fbem-26874	1	16	17	17	NUM
fbem-26874	1	17	,	,	PUNCT
fbem-26874	1	18	no	no	INTJ
fbem-26874	1	19	.	.	NOUN
fbem-26874	1	20	1	1	NUM
fbem-26874	1	21	,	,	PUNCT
fbem-26874	1	22	2024	2024	NUM
fbem-26874	1	23	230	230	NUM
fbem-26874	1	24	stock	stock	NOUN
fbem-26874	1	25	price	price	NOUN
fbem-26874	1	26	prediction	prediction	NOUN
fbem-26874	1	27	based	base	VERB
fbem-26874	1	28	on	on	ADP
fbem-26874	1	29	bp	bp	PROPN
fbem-26874	1	30	neural	neural	ADJ
fbem-26874	1	31	network	network	NOUN
fbem-26874	1	32	and	and	CCONJ
fbem-26874	1	33	arima	arima	PROPN
fbem-26874	1	34	model	model	NOUN
fbem-26874	1	35	ruiqi	ruiqi	PROPN
fbem-26874	1	36	zhao	zhao	PROPN
fbem-26874	1	37	nanjing	nanjing	PROPN
fbem-26874	1	38	university	university	PROPN
fbem-26874	1	39	of	of	ADP
fbem-26874	1	40	posts	post	NOUN
fbem-26874	1	41	and	and	CCONJ
fbem-26874	1	42	telecommunications	telecommunication	NOUN
fbem-26874	1	43	,	,	PUNCT
fbem-26874	1	44	nanjing	nanjing	PROPN
fbem-26874	1	45	,	,	PUNCT
fbem-26874	1	46	china	china	PROPN
fbem-26874	1	47	abstract	abstract	NOUN
fbem-26874	1	48	:	:	PUNCT
fbem-26874	1	49	with	with	ADP
fbem-26874	1	50	the	the	DET
fbem-26874	1	51	progress	progress	NOUN
fbem-26874	1	52	and	and	CCONJ
fbem-26874	1	53	development	development	NOUN
fbem-26874	1	54	of	of	ADP
fbem-26874	1	55	society	society	NOUN
fbem-26874	1	56	,	,	PUNCT
fbem-26874	1	57	stock	stock	NOUN
fbem-26874	1	58	investment	investment	NOUN
fbem-26874	1	59	has	have	AUX
fbem-26874	1	60	become	become	VERB
fbem-26874	1	61	an	an	DET
fbem-26874	1	62	important	important	ADJ
fbem-26874	1	63	part	part	NOUN
fbem-26874	1	64	of	of	ADP
fbem-26874	1	65	people	people	NOUN
fbem-26874	1	66	's	's	PART
fbem-26874	1	67	daily	daily	ADJ
fbem-26874	1	68	lives	life	NOUN
fbem-26874	1	69	.	.	PUNCT
fbem-26874	2	1	high	high	ADJ
fbem-26874	2	2	risk	risk	NOUN
fbem-26874	2	3	and	and	CCONJ
fbem-26874	2	4	high	high	ADJ
fbem-26874	2	5	return	return	NOUN
fbem-26874	2	6	are	be	AUX
fbem-26874	2	7	the	the	DET
fbem-26874	2	8	characteristics	characteristic	NOUN
fbem-26874	2	9	of	of	ADP
fbem-26874	2	10	stock	stock	NOUN
fbem-26874	2	11	investment	investment	NOUN
fbem-26874	2	12	.	.	PUNCT
fbem-26874	3	1	individual	individual	ADJ
fbem-26874	3	2	investors	investor	NOUN
fbem-26874	3	3	and	and	CCONJ
fbem-26874	3	4	institutional	institutional	ADJ
fbem-26874	3	5	investors	investor	NOUN
fbem-26874	3	6	alway	alway	VERB
fbem-26874	3	7	s	s	AUX
fbem-26874	3	8	pay	pay	VERB
fbem-26874	3	9	attention	attention	NOUN
fbem-26874	3	10	to	to	ADP
fbem-26874	3	11	stock	stock	NOUN
fbem-26874	3	12	market	market	NOUN
fbem-26874	3	13	trends	trend	NOUN
fbem-26874	3	14	,	,	PUNCT
fbem-26874	3	15	analyze	analyze	VERB
fbem-26874	3	16	financial	financial	ADJ
fbem-26874	3	17	data	datum	NOUN
fbem-26874	3	18	,	,	PUNCT
fbem-26874	3	19	and	and	CCONJ
fbem-26874	3	20	try	try	VERB
fbem-26874	3	21	to	to	PART
fbem-26874	3	22	predict	predict	VERB
fbem-26874	3	23	the	the	DET
fbem-26874	3	24	development	development	NOUN
fbem-26874	3	25	trend	trend	NOUN
fbem-26874	3	26	of	of	ADP
fbem-26874	3	27	stocks	stock	NOUN
fbem-26874	3	28	.	.	PUNCT
fbem-26874	4	1	studying	study	VERB
fbem-26874	4	2	the	the	DET
fbem-26874	4	3	future	future	ADJ
fbem-26874	4	4	trend	trend	NOUN
fbem-26874	4	5	of	of	ADP
fbem-26874	4	6	stock	stock	NOUN
fbem-26874	4	7	prices	price	NOUN
fbem-26874	4	8	of	of	ADP
fbem-26874	4	9	listed	list	VERB
fbem-26874	4	10	companies	company	NOUN
fbem-26874	4	11	and	and	CCONJ
fbem-26874	4	12	predicting	predict	VERB
fbem-26874	4	13	the	the	DET
fbem-26874	4	14	stock	stock	NOUN
fbem-26874	4	15	price	price	NOUN
fbem-26874	4	16	of	of	ADP
fbem-26874	4	17	a	a	DET
fbem-26874	4	18	certain	certain	ADJ
fbem-26874	4	19	company	company	NOUN
fbem-26874	4	20	not	not	PART
fbem-26874	4	21	only	only	ADV
fbem-26874	4	22	has	have	AUX
fbem-26874	4	23	extremely	extremely	ADV
fbem-26874	4	24	attracti	attracti	ADJ
fbem-26874	4	25	ve	ve	NOUN
fbem-26874	4	26	application	application	NOUN
fbem-26874	4	27	value	value	NOUN
fbem-26874	4	28	,	,	PUNCT
fbem-26874	4	29	but	but	CCONJ
fbem-26874	4	30	also	also	ADV
fbem-26874	4	31	has	have	VERB
fbem-26874	4	32	significant	significant	ADJ
fbem-26874	4	33	theoretical	theoretical	ADJ
fbem-26874	4	34	significance	significance	NOUN
fbem-26874	4	35	,	,	PUNCT
fbem-26874	4	36	attracting	attract	VERB
fbem-26874	4	37	the	the	DET
fbem-26874	4	38	attention	attention	NOUN
fbem-26874	4	39	of	of	ADP
fbem-26874	4	40	investors	investor	NOUN
fbem-26874	4	41	and	and	CCONJ
fbem-26874	4	42	academia	academia	NOUN
fbem-26874	4	43	.	.	PUNCT
fbem-26874	5	1	the	the	DET
fbem-26874	5	2	stock	stock	NOUN
fbem-26874	5	3	market	market	NOUN
fbem-26874	5	4	is	be	AUX
fbem-26874	5	5	unpredictable	unpredictable	ADJ
fbem-26874	5	6	and	and	CCONJ
fbem-26874	5	7	an	an	DET
fbem-26874	5	8	extremely	extremely	ADV
fbem-26874	5	9	complex	complex	ADJ
fbem-26874	5	10	system	system	NOUN
fbem-26874	5	11	with	with	ADP
fbem-26874	5	12	too	too	ADV
fbem-26874	5	13	many	many	ADJ
fbem-26874	5	14	influencing	influence	VERB
fbem-26874	5	15	factors	factor	NOUN
fbem-26874	5	16	.	.	PUNCT
fbem-26874	6	1	it	it	PRON
fbem-26874	6	2	will	will	AUX
fbem-26874	6	3	be	be	AUX
fbem-26874	6	4	very	very	ADV
fbem-26874	6	5	difficult	difficult	ADJ
fbem-26874	6	6	to	to	PART
fbem-26874	6	7	thoroughly	thoroughly	ADV
fbem-26874	6	8	understand	understand	VERB
fbem-26874	6	9	the	the	DET
fbem-26874	6	10	mechanism	mechanism	NOUN
fbem-26874	6	11	of	of	ADP
fbem-26874	6	12	stock	stock	NOUN
fbem-26874	6	13	market	market	NOUN
fbem-26874	6	14	changes	change	NOUN
fbem-26874	6	15	theoretically	theoretically	ADV
fbem-26874	6	16	.	.	PUNCT
fbem-26874	7	1	this	this	DET
fbem-26874	7	2	study	study	NOUN
fbem-26874	7	3	investigates	investigate	VERB
fbem-26874	7	4	the	the	DET
fbem-26874	7	5	application	application	NOUN
fbem-26874	7	6	of	of	ADP
fbem-26874	7	7	time	time	NOUN
fbem-26874	7	8	series	series	PROPN
fbem-26874	7	9	prediction	prediction	NOUN
fbem-26874	7	10	technology	technology	NOUN
fbem-26874	7	11	in	in	ADP
fbem-26874	7	12	stock	stock	NOUN
fbem-26874	7	13	price	price	NOUN
fbem-26874	7	14	prediction	prediction	NOUN
fbem-26874	7	15	,	,	PUNCT
fbem-26874	7	16	proposes	propose	VERB
fbem-26874	7	17	stock	stock	NOUN
fbem-26874	7	18	price	price	NOUN
fbem-26874	7	19	prediction	prediction	NOUN
fbem-26874	7	20	models	model	NOUN
fbem-26874	7	21	based	base	VERB
fbem-26874	7	22	on	on	ADP
fbem-26874	7	23	arima	arima	PROPN
fbem-26874	7	24	and	and	CCONJ
fbem-26874	7	25	bp	bp	PROPN
fbem-26874	7	26	neural	neural	ADJ
fbem-26874	7	27	network	network	NOUN
fbem-26874	7	28	,	,	PUNCT
fbem-26874	7	29	and	and	CCONJ
fbem-26874	7	30	verifies	verify	VERB
fbem-26874	7	31	the	the	DET
fbem-26874	7	32	feasibility	feasibility	NOUN
fbem-26874	7	33	and	and	CCONJ
fbem-26874	7	34	effectiveness	effectiveness	NOUN
fbem-26874	7	35	of	of	ADP
fbem-26874	7	36	the	the	DET
fbem-26874	7	37	model	model	NOUN
fbem-26874	7	38	prediction	prediction	NOUN
fbem-26874	7	39	through	through	ADP
fbem-26874	7	40	prediction	prediction	NOUN
fbem-26874	7	41	.	.	PUNCT
fbem-26874	8	1	keywords	keyword	NOUN
fbem-26874	8	2	:	:	PUNCT
fbem-26874	8	3	arima	arima	PROPN
fbem-26874	8	4	,	,	PUNCT
fbem-26874	8	5	bp	bp	PROPN
fbem-26874	8	6	neural	neural	ADJ
fbem-26874	8	7	network	network	NOUN
fbem-26874	8	8	,	,	PUNCT
fbem-26874	8	9	stock	stock	NOUN
fbem-26874	8	10	price	price	NOUN
fbem-26874	8	11	prediction	prediction	NOUN
fbem-26874	8	12	.	.	PUNCT
fbem-26874	9	1	1	1	X
fbem-26874	9	2	.	.	X
fbem-26874	9	3	introduction	introduction	NOUN
fbem-26874	9	4	1.1	1.1	NUM
fbem-26874	9	5	.	.	PUNCT
fbem-26874	10	1	purpose	purpose	NOUN
fbem-26874	10	2	and	and	CCONJ
fbem-26874	10	3	significance	significance	NOUN
fbem-26874	10	4	of	of	ADP
fbem-26874	10	5	stock	stock	NOUN
fbem-26874	10	6	price	price	NOUN
fbem-26874	10	7	prediction	prediction	NOUN
fbem-26874	10	8	the	the	DET
fbem-26874	10	9	stock	stock	NOUN
fbem-26874	10	10	market	market	NOUN
fbem-26874	10	11	holds	hold	VERB
fbem-26874	10	12	an	an	DET
fbem-26874	10	13	important	important	ADJ
fbem-26874	10	14	position	position	NOUN
fbem-26874	10	15	in	in	ADP
fbem-26874	10	16	the	the	DET
fbem-26874	10	17	field	field	NOUN
fbem-26874	10	18	of	of	ADP
fbem-26874	10	19	financial	financial	ADJ
fbem-26874	10	20	investment	investment	NOUN
fbem-26874	10	21	.	.	PUNCT
fbem-26874	11	1	with	with	ADP
fbem-26874	11	2	the	the	DET
fbem-26874	11	3	development	development	NOUN
fbem-26874	11	4	of	of	ADP
fbem-26874	11	5	social	social	ADJ
fbem-26874	11	6	economy	economy	NOUN
fbem-26874	11	7	,	,	PUNCT
fbem-26874	11	8	people	people	NOUN
fbem-26874	11	9	are	be	AUX
fbem-26874	11	10	paying	pay	VERB
fbem-26874	11	11	more	more	ADJ
fbem-26874	11	12	and	and	CCONJ
fbem-26874	11	13	more	more	ADJ
fbem-26874	11	14	attention	attention	NOUN
fbem-26874	11	15	to	to	ADP
fbem-26874	11	16	financial	financial	ADJ
fbem-26874	11	17	management	management	NOUN
fbem-26874	11	18	and	and	CCONJ
fbem-26874	11	19	investment	investment	NOUN
fbem-26874	11	20	.	.	PUNCT
fbem-26874	12	1	the	the	DET
fbem-26874	12	2	stock	stock	NOUN
fbem-26874	12	3	market	market	NOUN
fbem-26874	12	4	has	have	AUX
fbem-26874	12	5	gradually	gradually	ADV
fbem-26874	12	6	become	become	VERB
fbem-26874	12	7	an	an	DET
fbem-26874	12	8	equally	equally	ADV
fbem-26874	12	9	important	important	ADJ
fbem-26874	12	10	investment	investment	NOUN
fbem-26874	12	11	channel	channel	NOUN
fbem-26874	12	12	as	as	ADP
fbem-26874	12	13	banks	bank	NOUN
fbem-26874	12	14	and	and	CCONJ
fbem-26874	12	15	insurance	insurance	NOUN
fbem-26874	12	16	,	,	PUNCT
fbem-26874	12	17	and	and	CCONJ
fbem-26874	12	18	is	be	AUX
fbem-26874	12	19	one	one	NUM
fbem-26874	12	20	of	of	ADP
fbem-26874	12	21	the	the	DET
fbem-26874	12	22	main	main	ADJ
fbem-26874	12	23	ways	way	NOUN
fbem-26874	12	24	for	for	ADP
fbem-26874	12	25	many	many	ADJ
fbem-26874	12	26	families	family	NOUN
fbem-26874	12	27	and	and	CCONJ
fbem-26874	12	28	individuals	individual	NOUN
fbem-26874	12	29	to	to	PART
fbem-26874	12	30	manage	manage	VERB
fbem-26874	12	31	their	their	PRON
fbem-26874	12	32	finances	finance	NOUN
fbem-26874	12	33	.	.	PUNCT
fbem-26874	13	1	in	in	ADP
fbem-26874	13	2	recent	recent	ADJ
fbem-26874	13	3	years	year	NOUN
fbem-26874	13	4	,	,	PUNCT
fbem-26874	13	5	with	with	ADP
fbem-26874	13	6	the	the	DET
fbem-26874	13	7	continuous	continuous	ADJ
fbem-26874	13	8	rise	rise	NOUN
fbem-26874	13	9	of	of	ADP
fbem-26874	13	10	the	the	DET
fbem-26874	13	11	stock	stock	NOUN
fbem-26874	13	12	market	market	NOUN
fbem-26874	13	13	,	,	PUNCT
fbem-26874	13	14	the	the	DET
fbem-26874	13	15	number	number	NOUN
fbem-26874	13	16	of	of	ADP
fbem-26874	13	17	investors	investor	NOUN
fbem-26874	13	18	buying	buy	VERB
fbem-26874	13	19	into	into	ADP
fbem-26874	13	20	the	the	DET
fbem-26874	13	21	shanghai	shanghai	PROPN
fbem-26874	13	22	and	and	CCONJ
fbem-26874	13	23	shenzhen	shenzhen	PROPN
fbem-26874	13	24	stock	stock	PROPN
fbem-26874	13	25	markets	market	NOUN
fbem-26874	13	26	has	have	AUX
fbem-26874	13	27	been	be	AUX
fbem-26874	13	28	increasing	increase	VERB
fbem-26874	13	29	.	.	PUNCT
fbem-26874	14	1	according	accord	VERB
fbem-26874	14	2	to	to	ADP
fbem-26874	14	3	statistics	statistic	NOUN
fbem-26874	14	4	from	from	ADP
fbem-26874	14	5	a	a	DET
fbem-26874	14	6	chinese	chinese	ADJ
fbem-26874	14	7	securities	security	NOUN
fbem-26874	14	8	company	company	NOUN
fbem-26874	14	9	,	,	PUNCT
fbem-26874	14	10	at	at	ADP
fbem-26874	14	11	the	the	DET
fbem-26874	14	12	beginning	beginning	NOUN
fbem-26874	14	13	of	of	ADP
fbem-26874	14	14	each	each	DET
fbem-26874	14	15	year	year	NOUN
fbem-26874	14	16	,	,	PUNCT
fbem-26874	14	17	nearly	nearly	ADV
fbem-26874	14	18	9000	9000	NUM
fbem-26874	14	19	new	new	ADJ
fbem-26874	14	20	users	user	NOUN
fbem-26874	14	21	are	be	AUX
fbem-26874	14	22	added	add	VERB
fbem-26874	14	23	in	in	ADP
fbem-26874	14	24	a	a	DET
fbem-26874	14	25	single	single	ADJ
fbem-26874	14	26	day	day	NOUN
fbem-26874	14	27	.	.	PUNCT
fbem-26874	15	1	at	at	ADP
fbem-26874	15	2	present	present	ADJ
fbem-26874	15	3	,	,	PUNCT
fbem-26874	15	4	the	the	DET
fbem-26874	15	5	total	total	ADJ
fbem-26874	15	6	number	number	NOUN
fbem-26874	15	7	of	of	ADP
fbem-26874	15	8	users	user	NOUN
fbem-26874	15	9	in	in	ADP
fbem-26874	15	10	the	the	DET
fbem-26874	15	11	shanghai	shanghai	PROPN
fbem-26874	15	12	and	and	CCONJ
fbem-26874	15	13	shenzhen	shenzhen	PROPN
fbem-26874	15	14	stock	stock	PROPN
fbem-26874	15	15	markets	market	NOUN
fbem-26874	15	16	far	far	ADV
fbem-26874	15	17	exceeds	exceed	VERB
fbem-26874	15	18	75	75	NUM
fbem-26874	15	19	million	million	NUM
fbem-26874	15	20	.	.	PUNCT
fbem-26874	16	1	when	when	SCONJ
fbem-26874	16	2	the	the	DET
fbem-26874	16	3	market	market	NOUN
fbem-26874	16	4	is	be	AUX
fbem-26874	16	5	at	at	ADP
fbem-26874	16	6	a	a	DET
fbem-26874	16	7	low	low	ADJ
fbem-26874	16	8	point	point	NOUN
fbem-26874	16	9	,	,	PUNCT
fbem-26874	16	10	some	some	DET
fbem-26874	16	11	relatively	relatively	ADV
fbem-26874	16	12	rational	rational	ADJ
fbem-26874	16	13	institutional	institutional	ADJ
fbem-26874	16	14	investors	investor	NOUN
fbem-26874	16	15	with	with	ADP
fbem-26874	16	16	large	large	ADJ
fbem-26874	16	17	amounts	amount	NOUN
fbem-26874	16	18	of	of	ADP
fbem-26874	16	19	funds	fund	NOUN
fbem-26874	16	20	are	be	AUX
fbem-26874	16	21	often	often	ADV
fbem-26874	16	22	able	able	ADJ
fbem-26874	16	23	to	to	PART
fbem-26874	16	24	seize	seize	VERB
fbem-26874	16	25	the	the	DET
fbem-26874	16	26	opportunity	opportunity	NOUN
fbem-26874	16	27	to	to	PART
fbem-26874	16	28	enter	enter	VERB
fbem-26874	16	29	the	the	DET
fbem-26874	16	30	market	market	NOUN
fbem-26874	16	31	early	early	ADV
fbem-26874	16	32	and	and	CCONJ
fbem-26874	16	33	build	build	VERB
fbem-26874	16	34	positions	position	NOUN
fbem-26874	16	35	calmly	calmly	ADV
fbem-26874	16	36	.	.	PUNCT
fbem-26874	17	1	however	however	ADV
fbem-26874	17	2	,	,	PUNCT
fbem-26874	17	3	by	by	ADP
fbem-26874	17	4	the	the	DET
fbem-26874	17	5	time	time	NOUN
fbem-26874	17	6	the	the	DET
fbem-26874	17	7	stock	stock	NOUN
fbem-26874	17	8	market	market	NOUN
fbem-26874	17	9	is	be	AUX
fbem-26874	17	10	at	at	ADP
fbem-26874	17	11	its	its	PRON
fbem-26874	17	12	craziest	crazy	ADJ
fbem-26874	17	13	,	,	PUNCT
fbem-26874	17	14	they	they	PRON
fbem-26874	17	15	are	be	AUX
fbem-26874	17	16	already	already	ADV
fbem-26874	17	17	busy	busy	ADJ
fbem-26874	17	18	picking	pick	VERB
fbem-26874	17	19	the	the	DET
fbem-26874	17	20	fruits	fruit	NOUN
fbem-26874	17	21	.	.	PUNCT
fbem-26874	18	1	in	in	ADP
fbem-26874	18	2	this	this	DET
fbem-26874	18	3	regard	regard	NOUN
fbem-26874	18	4	,	,	PUNCT
fbem-26874	18	5	retail	retail	ADJ
fbem-26874	18	6	investors	investor	NOUN
fbem-26874	18	7	should	should	AUX
fbem-26874	18	8	learn	learn	VERB
fbem-26874	18	9	to	to	PART
fbem-26874	18	10	analyze	analyze	VERB
fbem-26874	18	11	and	and	CCONJ
fbem-26874	18	12	invest	invest	VERB
fbem-26874	18	13	in	in	ADP
fbem-26874	18	14	the	the	DET
fbem-26874	18	15	stock	stock	NOUN
fbem-26874	18	16	market	market	NOUN
fbem-26874	18	17	with	with	ADP
fbem-26874	18	18	a	a	DET
fbem-26874	18	19	longer	long	ADJ
fbem-26874	18	20	-	-	PUNCT
fbem-26874	18	21	term	term	NOUN
fbem-26874	18	22	perspective	perspective	NOUN
fbem-26874	18	23	.	.	PUNCT
fbem-26874	19	1	however	however	ADV
fbem-26874	19	2	,	,	PUNCT
fbem-26874	19	3	due	due	ADP
fbem-26874	19	4	to	to	ADP
fbem-26874	19	5	factors	factor	NOUN
fbem-26874	19	6	such	such	ADJ
fbem-26874	19	7	as	as	ADP
fbem-26874	19	8	inaccurate	inaccurate	ADJ
fbem-26874	19	9	information	information	NOUN
fbem-26874	19	10	,	,	PUNCT
fbem-26874	19	11	differences	difference	NOUN
fbem-26874	19	12	in	in	ADP
fbem-26874	19	13	investor	investor	NOUN
fbem-26874	19	14	perceptions	perception	NOUN
fbem-26874	19	15	,	,	PUNCT
fbem-26874	19	16	the	the	DET
fbem-26874	19	17	complexity	complexity	NOUN
fbem-26874	19	18	of	of	ADP
fbem-26874	19	19	various	various	ADJ
fbem-26874	19	20	analytical	analytical	ADJ
fbem-26874	19	21	techniques	technique	NOUN
fbem-26874	19	22	,	,	PUNCT
fbem-26874	19	23	and	and	CCONJ
fbem-26874	19	24	the	the	DET
fbem-26874	19	25	randomness	randomness	NOUN
fbem-26874	19	26	of	of	ADP
fbem-26874	19	27	stock	stock	NOUN
fbem-26874	19	28	price	price	NOUN
fbem-26874	19	29	changes	change	NOUN
fbem-26874	19	30	,	,	PUNCT
fbem-26874	19	31	actual	actual	ADJ
fbem-26874	19	32	investments	investment	NOUN
fbem-26874	19	33	often	often	ADV
fbem-26874	19	34	fail	fail	VERB
fbem-26874	19	35	to	to	PART
fbem-26874	19	36	achieve	achieve	VERB
fbem-26874	19	37	,	,	PUNCT
fbem-26874	19	38	or	or	CCONJ
fbem-26874	19	39	even	even	ADV
fbem-26874	19	40	the	the	DET
fbem-26874	19	41	opposite	opposite	ADJ
fbem-26874	19	42	,	,	PUNCT
fbem-26874	19	43	expected	expect	VERB
fbem-26874	19	44	results	result	NOUN
fbem-26874	19	45	,	,	PUNCT
fbem-26874	19	46	resulting	result	VERB
fbem-26874	19	47	in	in	ADP
fbem-26874	19	48	the	the	DET
fbem-26874	19	49	loss	loss	NOUN
fbem-26874	19	50	of	of	ADP
fbem-26874	19	51	investors	investor	NOUN
fbem-26874	19	52	'	'	PART
fbem-26874	19	53	capital	capital	NOUN
fbem-26874	19	54	,	,	PUNCT
fbem-26874	19	55	known	know	VERB
fbem-26874	19	56	as	as	ADP
fbem-26874	19	57	stock	stock	NOUN
fbem-26874	19	58	market	market	NOUN
fbem-26874	19	59	risk	risk	NOUN
fbem-26874	19	60	.	.	PUNCT
fbem-26874	20	1	the	the	DET
fbem-26874	20	2	purpose	purpose	NOUN
fbem-26874	20	3	of	of	ADP
fbem-26874	20	4	price	price	NOUN
fbem-26874	20	5	prediction	prediction	NOUN
fbem-26874	20	6	is	be	AUX
fbem-26874	20	7	to	to	PART
fbem-26874	20	8	try	try	VERB
fbem-26874	20	9	to	to	PART
fbem-26874	20	10	find	find	VERB
fbem-26874	20	11	a	a	DET
fbem-26874	20	12	method	method	NOUN
fbem-26874	20	13	that	that	PRON
fbem-26874	20	14	can	can	AUX
fbem-26874	20	15	achieve	achieve	VERB
fbem-26874	20	16	maximum	maximum	ADJ
fbem-26874	20	17	returns	return	NOUN
fbem-26874	20	18	with	with	ADP
fbem-26874	20	19	minimal	minimal	ADJ
fbem-26874	20	20	risk	risk	NOUN
fbem-26874	20	21	.	.	PUNCT
fbem-26874	21	1	since	since	SCONJ
fbem-26874	21	2	the	the	DET
fbem-26874	21	3	emergence	emergence	NOUN
fbem-26874	21	4	of	of	ADP
fbem-26874	21	5	stocks	stock	NOUN
fbem-26874	21	6	,	,	PUNCT
fbem-26874	21	7	there	there	PRON
fbem-26874	21	8	have	have	AUX
fbem-26874	21	9	been	be	AUX
fbem-26874	21	10	countless	countless	ADJ
fbem-26874	21	11	people	people	NOUN
fbem-26874	21	12	trying	try	VERB
fbem-26874	21	13	to	to	PART
fbem-26874	21	14	predict	predict	VERB
fbem-26874	21	15	prices	price	NOUN
fbem-26874	21	16	.	.	PUNCT
fbem-26874	22	1	it	it	PRON
fbem-26874	22	2	can	can	AUX
fbem-26874	22	3	be	be	AUX
fbem-26874	22	4	said	say	VERB
fbem-26874	22	5	that	that	SCONJ
fbem-26874	22	6	every	every	DET
fbem-26874	22	7	investor	investor	NOUN
fbem-26874	22	8	is	be	AUX
fbem-26874	22	9	looking	look	VERB
fbem-26874	22	10	for	for	ADP
fbem-26874	22	11	a	a	DET
fbem-26874	22	12	method	method	NOUN
fbem-26874	22	13	to	to	PART
fbem-26874	22	14	predict	predict	VERB
fbem-26874	22	15	stock	stock	NOUN
fbem-26874	22	16	prices	price	NOUN
fbem-26874	22	17	.	.	PUNCT
fbem-26874	23	1	many	many	ADJ
fbem-26874	23	2	scholars	scholar	NOUN
fbem-26874	23	3	at	at	ADP
fbem-26874	23	4	home	home	ADV
fbem-26874	23	5	and	and	CCONJ
fbem-26874	23	6	abroad	abroad	ADV
fbem-26874	23	7	are	be	AUX
fbem-26874	23	8	dedicated	dedicate	VERB
fbem-26874	23	9	to	to	ADP
fbem-26874	23	10	studying	study	VERB
fbem-26874	23	11	the	the	DET
fbem-26874	23	12	changing	change	VERB
fbem-26874	23	13	trends	trend	NOUN
fbem-26874	23	14	of	of	ADP
fbem-26874	23	15	the	the	DET
fbem-26874	23	16	stock	stock	NOUN
fbem-26874	23	17	market	market	NOUN
fbem-26874	23	18	and	and	CCONJ
fbem-26874	23	19	establishing	establish	VERB
fbem-26874	23	20	corresponding	corresponding	ADJ
fbem-26874	23	21	prediction	prediction	NOUN
fbem-26874	23	22	models	model	NOUN
fbem-26874	23	23	,	,	PUNCT
fbem-26874	23	24	providing	provide	VERB
fbem-26874	23	25	prediction	prediction	NOUN
fbem-26874	23	26	methods	method	NOUN
fbem-26874	23	27	,	,	PUNCT
fbem-26874	23	28	striving	strive	VERB
fbem-26874	23	29	to	to	PART
fbem-26874	23	30	avoid	avoid	VERB
fbem-26874	23	31	large	large	ADJ
fbem-26874	23	32	stock	stock	NOUN
fbem-26874	23	33	market	market	NOUN
fbem-26874	23	34	fluctuations	fluctuation	NOUN
fbem-26874	23	35	,	,	PUNCT
fbem-26874	23	36	reduce	reduce	VERB
fbem-26874	23	37	investment	investment	NOUN
fbem-26874	23	38	risks	risk	NOUN
fbem-26874	23	39	,	,	PUNCT
fbem-26874	23	40	and	and	CCONJ
fbem-26874	23	41	maintain	maintain	VERB
fbem-26874	23	42	economic	economic	ADJ
fbem-26874	23	43	prosperity	prosperity	NOUN
fbem-26874	23	44	and	and	CCONJ
fbem-26874	23	45	stability	stability	NOUN
fbem-26874	23	46	.	.	PUNCT
fbem-26874	24	1	however	however	ADV
fbem-26874	24	2	,	,	PUNCT
fbem-26874	24	3	although	although	SCONJ
fbem-26874	24	4	there	there	PRON
fbem-26874	24	5	are	be	VERB
fbem-26874	24	6	countless	countless	ADJ
fbem-26874	24	7	people	people	NOUN
fbem-26874	24	8	studying	study	VERB
fbem-26874	24	9	and	and	CCONJ
fbem-26874	24	10	predicting	predict	VERB
fbem-26874	24	11	stock	stock	NOUN
fbem-26874	24	12	prices	price	NOUN
fbem-26874	24	13	,	,	PUNCT
fbem-26874	24	14	almost	almost	ADV
fbem-26874	24	15	no	no	DET
fbem-26874	24	16	one	one	NOUN
fbem-26874	24	17	can	can	AUX
fbem-26874	24	18	find	find	VERB
fbem-26874	24	19	a	a	DET
fbem-26874	24	20	perfect	perfect	ADJ
fbem-26874	24	21	and	and	CCONJ
fbem-26874	24	22	foolproof	foolproof	ADJ
fbem-26874	24	23	method	method	NOUN
fbem-26874	24	24	to	to	PART
fbem-26874	24	25	predict	predict	VERB
fbem-26874	24	26	stock	stock	NOUN
fbem-26874	24	27	prices	price	NOUN
fbem-26874	24	28	.	.	PUNCT
fbem-26874	25	1	as	as	SCONJ
fbem-26874	25	2	a	a	DET
fbem-26874	25	3	foreign	foreign	ADJ
fbem-26874	25	4	economist	economist	NOUN
fbem-26874	25	5	said	say	VERB
fbem-26874	25	6	,	,	PUNCT
fbem-26874	25	7	stock	stock	NOUN
fbem-26874	25	8	market	market	NOUN
fbem-26874	25	9	changes	change	NOUN
fbem-26874	25	10	are	be	AUX
fbem-26874	25	11	like	like	ADP
fbem-26874	25	12	walking	walk	VERB
fbem-26874	25	13	a	a	DET
fbem-26874	25	14	drunken	drunken	ADJ
fbem-26874	25	15	man	man	NOUN
fbem-26874	25	16	,	,	PUNCT
fbem-26874	25	17	difficult	difficult	ADJ
fbem-26874	25	18	to	to	PART
fbem-26874	25	19	predict	predict	VERB
fbem-26874	25	20	.	.	PUNCT
fbem-26874	26	1	artificial	artificial	ADJ
fbem-26874	26	2	neural	neural	ADJ
fbem-26874	26	3	networks	network	NOUN
fbem-26874	26	4	are	be	AUX
fbem-26874	26	5	a	a	DET
fbem-26874	26	6	rapidly	rapidly	ADV
fbem-26874	26	7	developing	develop	VERB
fbem-26874	26	8	interdisciplinary	interdisciplinary	ADJ
fbem-26874	26	9	field	field	NOUN
fbem-26874	26	10	widely	widely	ADV
fbem-26874	26	11	used	use	VERB
fbem-26874	26	12	in	in	ADP
fbem-26874	26	13	signal	signal	ADJ
fbem-26874	26	14	processing	processing	NOUN
fbem-26874	26	15	,	,	PUNCT
fbem-26874	26	16	adaptive	adaptive	ADJ
fbem-26874	26	17	control	control	NOUN
fbem-26874	26	18	,	,	PUNCT
fbem-26874	26	19	and	and	CCONJ
fbem-26874	26	20	financial	financial	ADJ
fbem-26874	26	21	prediction	prediction	NOUN
fbem-26874	26	22	.	.	PUNCT
fbem-26874	27	1	1.2	1.2	NUM
fbem-26874	27	2	.	.	PUNCT
fbem-26874	27	3	current	current	ADJ
fbem-26874	27	4	methods	method	NOUN
fbem-26874	27	5	for	for	ADP
fbem-26874	27	6	predicting	predict	VERB
fbem-26874	27	7	stock	stock	NOUN
fbem-26874	27	8	prices	price	NOUN
fbem-26874	27	9	1.2.1	1.2.1	NUM
fbem-26874	27	10	.	.	PUNCT
fbem-26874	28	1	decision	decision	NOUN
fbem-26874	28	2	tree	tree	NOUN
fbem-26874	28	3	model	model	NOUN
fbem-26874	28	4	decision	decision	NOUN
fbem-26874	28	5	tree	tree	NOUN
fbem-26874	28	6	is	be	AUX
fbem-26874	28	7	also	also	ADV
fbem-26874	28	8	known	know	VERB
fbem-26874	28	9	as	as	ADP
fbem-26874	28	10	decision	decision	NOUN
fbem-26874	28	11	tree	tree	NOUN
fbem-26874	28	12	.	.	PUNCT
fbem-26874	29	1	in	in	ADP
fbem-26874	29	2	the	the	DET
fbem-26874	29	3	decision	decision	NOUN
fbem-26874	29	4	tree	tree	NOUN
fbem-26874	29	5	method	method	NOUN
fbem-26874	29	6	,	,	PUNCT
fbem-26874	29	7	the	the	DET
fbem-26874	29	8	decision	decision	NOUN
fbem-26874	29	9	tree	tree	NOUN
fbem-26874	29	10	is	be	AUX
fbem-26874	29	11	first	first	ADV
fbem-26874	29	12	constructed	construct	VERB
fbem-26874	29	13	from	from	ADP
fbem-26874	29	14	the	the	DET
fbem-26874	29	15	instance	instance	NOUN
fbem-26874	29	16	set	set	NOUN
fbem-26874	29	17	,	,	PUNCT
fbem-26874	29	18	which	which	PRON
fbem-26874	29	19	is	be	AUX
fbem-26874	29	20	a	a	DET
fbem-26874	29	21	guided	guide	VERB
fbem-26874	29	22	learning	learning	NOUN
fbem-26874	29	23	approach	approach	NOUN
fbem-26874	29	24	.	.	PUNCT
fbem-26874	30	1	this	this	DET
fbem-26874	30	2	method	method	NOUN
fbem-26874	30	3	first	first	ADV
fbem-26874	30	4	forms	form	VERB
fbem-26874	30	5	a	a	DET
fbem-26874	30	6	decision	decision	NOUN
fbem-26874	30	7	tree	tree	NOUN
fbem-26874	30	8	based	base	VERB
fbem-26874	30	9	on	on	ADP
fbem-26874	30	10	the	the	DET
fbem-26874	30	11	training	training	NOUN
fbem-26874	30	12	set	set	VERB
fbem-26874	30	13	data	datum	NOUN
fbem-26874	30	14	.	.	PUNCT
fbem-26874	31	1	a	a	DET
fbem-26874	31	2	decision	decision	NOUN
fbem-26874	31	3	tree	tree	NOUN
fbem-26874	31	4	represents	represent	VERB
fbem-26874	31	5	the	the	DET
fbem-26874	31	6	tree	tree	NOUN
fbem-26874	31	7	structure	structure	NOUN
fbem-26874	31	8	of	of	ADP
fbem-26874	31	9	a	a	DET
fbem-26874	31	10	decision	decision	NOUN
fbem-26874	31	11	set	set	NOUN
fbem-26874	31	12	.	.	PUNCT
fbem-26874	32	1	the	the	DET
fbem-26874	32	2	final	final	ADJ
fbem-26874	32	3	result	result	NOUN
fbem-26874	32	4	is	be	AUX
fbem-26874	32	5	a	a	DET
fbem-26874	32	6	tree	tree	NOUN
fbem-26874	32	7	,	,	PUNCT
fbem-26874	32	8	with	with	ADP
fbem-26874	32	9	leaf	leaf	NOUN
fbem-26874	32	10	nodes	node	NOUN
fbem-26874	32	11	being	be	AUX
fbem-26874	32	12	class	class	NOUN
fbem-26874	32	13	names	name	NOUN
fbem-26874	32	14	and	and	CCONJ
fbem-26874	32	15	middle	middle	ADJ
fbem-26874	32	16	nodes	node	NOUN
fbem-26874	32	17	being	be	AUX
fbem-26874	32	18	attributes	attribute	NOUN
fbem-26874	32	19	with	with	ADP
fbem-26874	32	20	branches	branch	NOUN
fbem-26874	32	21	corresponding	correspond	VERB
fbem-26874	32	22	to	to	ADP
fbem-26874	32	23	a	a	DET
fbem-26874	32	24	possible	possible	ADJ
fbem-26874	32	25	value	value	NOUN
fbem-26874	32	26	of	of	ADP
fbem-26874	32	27	the	the	DET
fbem-26874	32	28	attribute	attribute	NOUN
fbem-26874	32	29	.	.	PUNCT
fbem-26874	33	1	the	the	DET
fbem-26874	33	2	core	core	NOUN
fbem-26874	33	3	of	of	ADP
fbem-26874	33	4	decision	decision	NOUN
fbem-26874	33	5	tree	tree	NOUN
fbem-26874	33	6	technology	technology	NOUN
fbem-26874	33	7	in	in	ADP
fbem-26874	33	8	discovering	discover	VERB
fbem-26874	33	9	data	data	NOUN
fbem-26874	33	10	patterns	pattern	NOUN
fbem-26874	33	11	and	and	CCONJ
fbem-26874	33	12	rules	rule	NOUN
fbem-26874	33	13	is	be	AUX
fbem-26874	33	14	the	the	DET
fbem-26874	33	15	inductive	inductive	ADJ
fbem-26874	33	16	algorithm	algorithm	NOUN
fbem-26874	33	17	.	.	PUNCT
fbem-26874	34	1	inductive	inductive	ADJ
fbem-26874	34	2	reasoning	reasoning	NOUN
fbem-26874	34	3	derives	derive	VERB
fbem-26874	34	4	a	a	DET
fbem-26874	34	5	regular	regular	ADJ
fbem-26874	34	6	conclusion	conclusion	NOUN
fbem-26874	34	7	from	from	ADP
fbem-26874	34	8	the	the	DET
fbem-26874	34	9	characteristics	characteristic	NOUN
fbem-26874	34	10	,	,	PUNCT
fbem-26874	34	11	features	feature	NOUN
fbem-26874	34	12	,	,	PUNCT
fbem-26874	34	13	or	or	CCONJ
fbem-26874	34	14	properties	property	NOUN
fbem-26874	34	15	represented	represent	VERB
fbem-26874	34	16	by	by	ADP
fbem-26874	34	17	several	several	ADJ
fbem-26874	34	18	facts	fact	NOUN
fbem-26874	34	19	through	through	ADP
fbem-26874	34	20	comparison	comparison	NOUN
fbem-26874	34	21	,	,	PUNCT
fbem-26874	34	22	summarization	summarization	NOUN
fbem-26874	34	23	,	,	PUNCT
fbem-26874	34	24	and	and	CCONJ
fbem-26874	34	25	generalization	generalization	NOUN
fbem-26874	34	26	.	.	PUNCT
fbem-26874	35	1	inductive	inductive	ADJ
fbem-26874	35	2	reasoning	reasoning	NOUN
fbem-26874	35	3	attempts	attempt	VERB
fbem-26874	35	4	to	to	PART
fbem-26874	35	5	obtain	obtain	VERB
fbem-26874	35	6	a	a	DET
fbem-26874	35	7	complete	complete	ADJ
fbem-26874	35	8	and	and	CCONJ
fbem-26874	35	9	correct	correct	ADJ
fbem-26874	35	10	description	description	NOUN
fbem-26874	35	11	from	from	ADP
fbem-26874	35	12	specific	specific	ADJ
fbem-26874	35	13	observations	observation	NOUN
fbem-26874	35	14	of	of	ADP
fbem-26874	35	15	a	a	DET
fbem-26874	35	16	part	part	NOUN
fbem-26874	35	17	or	or	CCONJ
fbem-26874	35	18	the	the	DET
fbem-26874	35	19	whole	whole	NOUN
fbem-26874	35	20	of	of	ADP
fbem-26874	35	21	an	an	DET
fbem-26874	35	22	object	object	NOUN
fbem-26874	35	23	,	,	PUNCT
fbem-26874	35	24	that	that	ADV
fbem-26874	35	25	is	is	ADV
fbem-26874	35	26	,	,	PUNCT
fbem-26874	35	27	to	to	PART
fbem-26874	35	28	draw	draw	VERB
fbem-26874	35	29	universal	universal	ADJ
fbem-26874	35	30	conclusions	conclusion	NOUN
fbem-26874	35	31	from	from	ADP
fbem-26874	35	32	specific	specific	ADJ
fbem-26874	35	33	facts	fact	NOUN
fbem-26874	35	34	.	.	PUNCT
fbem-26874	36	1	1.2.2	1.2.2	X
fbem-26874	36	2	.	.	PUNCT
fbem-26874	36	3	neural	neural	ADJ
fbem-26874	36	4	network	network	PROPN
fbem-26874	36	5	model	model	PROPN
fbem-26874	36	6	neural	neural	ADJ
fbem-26874	36	7	networks	network	NOUN
fbem-26874	36	8	are	be	AUX
fbem-26874	36	9	data	data	NOUN
fbem-26874	36	10	models	model	NOUN
fbem-26874	36	11	that	that	PRON
fbem-26874	36	12	simulate	simulate	VERB
fbem-26874	36	13	the	the	DET
fbem-26874	36	14	structure	structure	NOUN
fbem-26874	36	15	of	of	ADP
fbem-26874	36	16	the	the	DET
fbem-26874	36	17	human	human	ADJ
fbem-26874	36	18	brain	brain	NOUN
fbem-26874	36	19	;	;	PUNCT
fbem-26874	36	20	therefore	therefore	ADV
fbem-26874	36	21	,	,	PUNCT
fbem-26874	36	22	neural	neural	ADJ
fbem-26874	36	23	networks	network	NOUN
fbem-26874	36	24	are	be	AUX
fbem-26874	36	25	systems	system	NOUN
fbem-26874	36	26	with	with	ADP
fbem-26874	36	27	self	self	NOUN
fbem-26874	36	28	-	-	PUNCT
fbem-26874	36	29	learning	learn	VERB
fbem-26874	36	30	capabilities	capability	NOUN
fbem-26874	36	31	.	.	PUNCT
fbem-26874	37	1	just	just	ADV
fbem-26874	37	2	like	like	ADP
fbem-26874	37	3	the	the	DET
fbem-26874	37	4	brain	brain	NOUN
fbem-26874	37	5	,	,	PUNCT
fbem-26874	37	6	neural	neural	ADJ
fbem-26874	37	7	networks	network	NOUN
fbem-26874	37	8	learn	learn	VERB
fbem-26874	37	9	from	from	ADP
fbem-26874	37	10	a	a	DET
fbem-26874	37	11	set	set	NOUN
fbem-26874	37	12	of	of	ADP
fbem-26874	37	13	input	input	NOUN
fbem-26874	37	14	data	datum	NOUN
fbem-26874	37	15	and	and	CCONJ
fbem-26874	37	16	adjust	adjust	VERB
fbem-26874	37	17	model	model	NOUN
fbem-26874	37	18	parameters	parameter	NOUN
fbem-26874	37	19	based	base	VERB
fbem-26874	37	20	on	on	ADP
fbem-26874	37	21	this	this	DET
fbem-26874	37	22	new	new	ADJ
fbem-26874	37	23	cognition	cognition	NOUN
fbem-26874	37	24	to	to	PART
fbem-26874	37	25	discover	discover	VERB
fbem-26874	37	26	patterns	pattern	NOUN
fbem-26874	37	27	in	in	ADP
fbem-26874	37	28	the	the	DET
fbem-26874	37	29	data	datum	NOUN
fbem-26874	37	30	.	.	PUNCT
fbem-26874	38	1	therefore	therefore	ADV
fbem-26874	38	2	,	,	PUNCT
fbem-26874	38	3	the	the	DET
fbem-26874	38	4	working	work	VERB
fbem-26874	38	5	process	process	NOUN
fbem-26874	38	6	of	of	ADP
fbem-26874	38	7	neural	neural	ADJ
fbem-26874	38	8	networks	network	NOUN
fbem-26874	38	9	can	can	AUX
fbem-26874	38	10	be	be	AUX
fbem-26874	38	11	divided	divide	VERB
fbem-26874	38	12	into	into	ADP
fbem-26874	38	13	two	two	NUM
fbem-26874	38	14	stages	stage	NOUN
fbem-26874	38	15	.	.	PUNCT
fbem-26874	39	1	learning	learn	VERB
fbem-26874	39	2	stage	stage	NOUN
fbem-26874	39	3	:	:	PUNCT
fbem-26874	39	4	training	train	VERB
fbem-26874	39	5	the	the	DET
fbem-26874	39	6	network	network	NOUN
fbem-26874	39	7	,	,	PUNCT
fbem-26874	39	8	mainly	mainly	ADV
fbem-26874	39	9	adjusting	adjust	VERB
fbem-26874	39	10	the	the	DET
fbem-26874	39	11	connection	connection	NOUN
fbem-26874	39	12	weights	weight	NOUN
fbem-26874	39	13	and	and	CCONJ
fbem-26874	39	14	connections	connection	NOUN
fbem-26874	39	15	between	between	ADP
fbem-26874	39	16	neurons	neuron	NOUN
fbem-26874	39	17	in	in	ADP
fbem-26874	39	18	the	the	DET
fbem-26874	39	19	network	network	NOUN
fbem-26874	39	20	.	.	PUNCT
fbem-26874	40	1	the	the	DET
fbem-26874	40	2	information	information	NOUN
fbem-26874	40	3	processing	processing	NOUN
fbem-26874	40	4	capability	capability	NOUN
fbem-26874	40	5	of	of	ADP
fbem-26874	40	6	neural	neural	ADJ
fbem-26874	40	7	231	231	NUM
fbem-26874	40	8	networks	network	NOUN
fbem-26874	40	9	is	be	AUX
fbem-26874	40	10	mainly	mainly	ADV
fbem-26874	40	11	determined	determine	VERB
fbem-26874	40	12	by	by	ADP
fbem-26874	40	13	the	the	DET
fbem-26874	40	14	connection	connection	NOUN
fbem-26874	40	15	method	method	NOUN
fbem-26874	40	16	and	and	CCONJ
fbem-26874	40	17	connection	connection	NOUN
fbem-26874	40	18	weights	weight	NOUN
fbem-26874	40	19	.	.	PUNCT
fbem-26874	41	1	because	because	SCONJ
fbem-26874	41	2	the	the	DET
fbem-26874	41	3	information	information	NOUN
fbem-26874	41	4	processing	processing	NOUN
fbem-26874	41	5	capability	capability	NOUN
fbem-26874	41	6	of	of	ADP
fbem-26874	41	7	neural	neural	ADJ
fbem-26874	41	8	networks	network	NOUN
fbem-26874	41	9	is	be	AUX
fbem-26874	41	10	mainly	mainly	ADV
fbem-26874	41	11	acquired	acquire	VERB
fbem-26874	41	12	through	through	ADP
fbem-26874	41	13	the	the	DET
fbem-26874	41	14	learning	learning	NOUN
fbem-26874	41	15	stage	stage	NOUN
fbem-26874	41	16	and	and	CCONJ
fbem-26874	41	17	affects	affect	VERB
fbem-26874	41	18	the	the	DET
fbem-26874	41	19	entire	entire	ADJ
fbem-26874	41	20	working	working	NOUN
fbem-26874	41	21	stage	stage	NOUN
fbem-26874	41	22	,	,	PUNCT
fbem-26874	41	23	the	the	DET
fbem-26874	41	24	connection	connection	NOUN
fbem-26874	41	25	method	method	NOUN
fbem-26874	41	26	and	and	CCONJ
fbem-26874	41	27	connection	connection	NOUN
fbem-26874	41	28	weights	weight	NOUN
fbem-26874	41	29	between	between	ADP
fbem-26874	41	30	neurons	neuron	NOUN
fbem-26874	41	31	in	in	ADP
fbem-26874	41	32	neural	neural	ADJ
fbem-26874	41	33	networks	network	NOUN
fbem-26874	41	34	are	be	AUX
fbem-26874	41	35	also	also	ADV
fbem-26874	41	36	known	know	VERB
fbem-26874	41	37	as	as	ADP
fbem-26874	41	38	long	long	ADJ
fbem-26874	41	39	-	-	PUNCT
fbem-26874	41	40	term	term	NOUN
fbem-26874	41	41	memory	memory	NOUN
fbem-26874	41	42	.	.	PUNCT
fbem-26874	42	1	although	although	SCONJ
fbem-26874	42	2	the	the	DET
fbem-26874	42	3	time	time	NOUN
fbem-26874	42	4	required	require	VERB
fbem-26874	42	5	for	for	ADP
fbem-26874	42	6	different	different	ADJ
fbem-26874	42	7	learning	learning	NOUN
fbem-26874	42	8	modes	mode	NOUN
fbem-26874	42	9	and	and	CCONJ
fbem-26874	42	10	algorithms	algorithm	NOUN
fbem-26874	42	11	in	in	ADP
fbem-26874	42	12	neural	neural	ADJ
fbem-26874	42	13	networks	network	NOUN
fbem-26874	42	14	varies	vary	VERB
fbem-26874	42	15	,	,	PUNCT
fbem-26874	42	16	generally	generally	ADV
fbem-26874	42	17	speaking	speak	VERB
fbem-26874	42	18	,	,	PUNCT
fbem-26874	42	19	the	the	DET
fbem-26874	42	20	training	training	NOUN
fbem-26874	42	21	time	time	NOUN
fbem-26874	42	22	of	of	ADP
fbem-26874	42	23	neural	neural	ADJ
fbem-26874	42	24	networks	network	NOUN
fbem-26874	42	25	is	be	AUX
fbem-26874	42	26	longer	long	ADJ
fbem-26874	42	27	and	and	CCONJ
fbem-26874	42	28	much	much	ADV
fbem-26874	42	29	longer	long	ADJ
fbem-26874	42	30	than	than	ADP
fbem-26874	42	31	the	the	DET
fbem-26874	42	32	processing	processing	NOUN
fbem-26874	42	33	time	time	NOUN
fbem-26874	42	34	of	of	ADP
fbem-26874	42	35	individual	individual	ADJ
fbem-26874	42	36	data	datum	NOUN
fbem-26874	42	37	.	.	PUNCT
fbem-26874	43	1	working	work	VERB
fbem-26874	43	2	stage	stage	NOUN
fbem-26874	43	3	:	:	PUNCT
fbem-26874	43	4	the	the	DET
fbem-26874	43	5	trained	train	VERB
fbem-26874	43	6	network	network	NOUN
fbem-26874	43	7	can	can	AUX
fbem-26874	43	8	be	be	AUX
fbem-26874	43	9	used	use	VERB
fbem-26874	43	10	for	for	ADP
fbem-26874	43	11	practical	practical	ADJ
fbem-26874	43	12	work	work	NOUN
fbem-26874	43	13	.	.	PUNCT
fbem-26874	44	1	at	at	ADP
fbem-26874	44	2	this	this	DET
fbem-26874	44	3	time	time	NOUN
fbem-26874	44	4	,	,	PUNCT
fbem-26874	44	5	the	the	DET
fbem-26874	44	6	connection	connection	NOUN
fbem-26874	44	7	weights	weight	NOUN
fbem-26874	44	8	and	and	CCONJ
fbem-26874	44	9	connection	connection	NOUN
fbem-26874	44	10	parties	party	NOUN
fbem-26874	44	11	of	of	ADP
fbem-26874	44	12	the	the	DET
fbem-26874	44	13	network	network	NOUN
fbem-26874	44	14	are	be	AUX
fbem-26874	44	15	fixed	fix	VERB
fbem-26874	44	16	and	and	CCONJ
fbem-26874	44	17	unchanged	unchanged	ADJ
fbem-26874	44	18	.	.	PUNCT
fbem-26874	45	1	the	the	DET
fbem-26874	45	2	working	working	NOUN
fbem-26874	45	3	process	process	NOUN
fbem-26874	45	4	is	be	AUX
fbem-26874	45	5	manifested	manifest	VERB
fbem-26874	45	6	as	as	ADP
fbem-26874	45	7	the	the	DET
fbem-26874	45	8	mapping	mapping	NOUN
fbem-26874	45	9	and	and	CCONJ
fbem-26874	45	10	change	change	NOUN
fbem-26874	45	11	of	of	ADP
fbem-26874	45	12	input	input	NOUN
fbem-26874	45	13	data	datum	NOUN
fbem-26874	45	14	in	in	ADP
fbem-26874	45	15	the	the	DET
fbem-26874	45	16	state	state	NOUN
fbem-26874	45	17	space	space	NOUN
fbem-26874	45	18	.	.	PUNCT
fbem-26874	46	1	the	the	DET
fbem-26874	46	2	final	final	ADJ
fbem-26874	46	3	stable	stable	ADJ
fbem-26874	46	4	state	state	NOUN
fbem-26874	46	5	of	of	ADP
fbem-26874	46	6	the	the	DET
fbem-26874	46	7	neural	neural	ADJ
fbem-26874	46	8	network	network	NOUN
fbem-26874	46	9	is	be	AUX
fbem-26874	46	10	the	the	DET
fbem-26874	46	11	working	work	VERB
fbem-26874	46	12	output	output	NOUN
fbem-26874	46	13	.	.	PUNCT
fbem-26874	47	1	compared	compare	VERB
fbem-26874	47	2	to	to	ADP
fbem-26874	47	3	the	the	DET
fbem-26874	47	4	time	time	NOUN
fbem-26874	47	5	cost	cost	NOUN
fbem-26874	47	6	of	of	ADP
fbem-26874	47	7	the	the	DET
fbem-26874	47	8	learning	learning	NOUN
fbem-26874	47	9	phase	phase	NOUN
fbem-26874	47	10	,	,	PUNCT
fbem-26874	47	11	the	the	DET
fbem-26874	47	12	speed	speed	NOUN
fbem-26874	47	13	of	of	ADP
fbem-26874	47	14	the	the	DET
fbem-26874	47	15	work	work	NOUN
fbem-26874	47	16	phase	phase	NOUN
fbem-26874	47	17	is	be	AUX
fbem-26874	47	18	relatively	relatively	ADV
fbem-26874	47	19	fast	fast	ADJ
fbem-26874	47	20	.	.	PUNCT
fbem-26874	48	1	because	because	SCONJ
fbem-26874	48	2	the	the	DET
fbem-26874	48	3	state	state	NOUN
fbem-26874	48	4	of	of	ADP
fbem-26874	48	5	neurons	neuron	NOUN
fbem-26874	48	6	often	often	ADV
fbem-26874	48	7	changes	change	VERB
fbem-26874	48	8	during	during	ADP
fbem-26874	48	9	the	the	DET
fbem-26874	48	10	working	work	VERB
fbem-26874	48	11	stage	stage	NOUN
fbem-26874	48	12	,	,	PUNCT
fbem-26874	48	13	the	the	DET
fbem-26874	48	14	state	state	NOUN
fbem-26874	48	15	of	of	ADP
fbem-26874	48	16	neurons	neuron	NOUN
fbem-26874	48	17	in	in	ADP
fbem-26874	48	18	a	a	DET
fbem-26874	48	19	single	single	ADJ
fbem-26874	48	20	stage	stage	NOUN
fbem-26874	48	21	is	be	AUX
fbem-26874	48	22	called	call	VERB
fbem-26874	48	23	short	short	ADJ
fbem-26874	48	24	-	-	PUNCT
fbem-26874	48	25	term	term	NOUN
fbem-26874	48	26	memory	memory	NOUN
fbem-26874	48	27	.	.	PUNCT
fbem-26874	49	1	1.3	1.3	NUM
fbem-26874	49	2	.	.	PUNCT
fbem-26874	49	3	application	application	NOUN
fbem-26874	49	4	of	of	ADP
fbem-26874	49	5	neural	neural	ADJ
fbem-26874	49	6	network	network	NOUN
fbem-26874	49	7	theory	theory	NOUN
fbem-26874	49	8	in	in	ADP
fbem-26874	49	9	stock	stock	NOUN
fbem-26874	49	10	price	price	NOUN
fbem-26874	49	11	prediction	prediction	NOUN
fbem-26874	49	12	due	due	ADP
fbem-26874	49	13	to	to	ADP
fbem-26874	49	14	the	the	DET
fbem-26874	49	15	high	high	ADJ
fbem-26874	49	16	degree	degree	NOUN
fbem-26874	49	17	of	of	ADP
fbem-26874	49	18	uncertainty	uncertainty	NOUN
fbem-26874	49	19	and	and	CCONJ
fbem-26874	49	20	unpredictability	unpredictability	NOUN
fbem-26874	49	21	in	in	ADP
fbem-26874	49	22	the	the	DET
fbem-26874	49	23	stock	stock	NOUN
fbem-26874	49	24	market	market	NOUN
fbem-26874	49	25	,	,	PUNCT
fbem-26874	49	26	as	as	ADV
fbem-26874	49	27	well	well	ADV
fbem-26874	49	28	as	as	ADP
fbem-26874	49	29	the	the	DET
fbem-26874	49	30	strong	strong	ADJ
fbem-26874	49	31	non	non	ADJ
fbem-26874	49	32	-	-	ADJ
fbem-26874	49	33	linear	linear	ADJ
fbem-26874	49	34	prediction	prediction	NOUN
fbem-26874	49	35	ability	ability	NOUN
fbem-26874	49	36	of	of	ADP
fbem-26874	49	37	neural	neural	ADJ
fbem-26874	49	38	network	network	NOUN
fbem-26874	49	39	theory	theory	NOUN
fbem-26874	49	40	,	,	PUNCT
fbem-26874	49	41	many	many	ADJ
fbem-26874	49	42	people	people	NOUN
fbem-26874	49	43	are	be	AUX
fbem-26874	49	44	trying	try	VERB
fbem-26874	49	45	to	to	PART
fbem-26874	49	46	use	use	VERB
fbem-26874	49	47	neural	neural	ADJ
fbem-26874	49	48	network	network	NOUN
fbem-26874	49	49	theory	theory	NOUN
fbem-26874	49	50	to	to	PART
fbem-26874	49	51	predict	predict	VERB
fbem-26874	49	52	stock	stock	NOUN
fbem-26874	49	53	prices	price	NOUN
fbem-26874	49	54	in	in	ADP
fbem-26874	49	55	order	order	NOUN
fbem-26874	49	56	to	to	PART
fbem-26874	49	57	grasp	grasp	VERB
fbem-26874	49	58	the	the	DET
fbem-26874	49	59	laws	law	NOUN
fbem-26874	49	60	of	of	ADP
fbem-26874	49	61	the	the	DET
fbem-26874	49	62	stock	stock	NOUN
fbem-26874	49	63	market	market	NOUN
fbem-26874	49	64	,	,	PUNCT
fbem-26874	49	65	and	and	CCONJ
fbem-26874	49	66	have	have	AUX
fbem-26874	49	67	achieved	achieve	VERB
fbem-26874	49	68	satisfactory	satisfactory	ADJ
fbem-26874	49	69	results	result	NOUN
fbem-26874	49	70	in	in	ADP
fbem-26874	49	71	different	different	ADJ
fbem-26874	49	72	directions	direction	NOUN
fbem-26874	49	73	.	.	PUNCT
fbem-26874	50	1	below	below	ADV
fbem-26874	50	2	are	be	AUX
fbem-26874	50	3	some	some	DET
fbem-26874	50	4	methods	method	NOUN
fbem-26874	50	5	of	of	ADP
fbem-26874	50	6	using	use	VERB
fbem-26874	50	7	neural	neural	ADJ
fbem-26874	50	8	network	network	NOUN
fbem-26874	50	9	theory	theory	NOUN
fbem-26874	50	10	for	for	ADP
fbem-26874	50	11	prediction	prediction	NOUN
fbem-26874	50	12	.	.	PUNCT
fbem-26874	51	1	the	the	DET
fbem-26874	51	2	significance	significance	NOUN
fbem-26874	51	3	and	and	CCONJ
fbem-26874	51	4	practical	practical	ADJ
fbem-26874	51	5	application	application	NOUN
fbem-26874	51	6	value	value	NOUN
fbem-26874	51	7	of	of	ADP
fbem-26874	51	8	this	this	DET
fbem-26874	51	9	research	research	NOUN
fbem-26874	51	10	project	project	NOUN
fbem-26874	51	11	lie	lie	VERB
fbem-26874	51	12	in	in	ADP
fbem-26874	51	13	:	:	PUNCT
fbem-26874	51	14	(	(	PUNCT
fbem-26874	51	15	1	1	X
fbem-26874	51	16	)	)	PUNCT
fbem-26874	51	17	explore	explore	VERB
fbem-26874	51	18	new	new	ADJ
fbem-26874	51	19	stock	stock	NOUN
fbem-26874	51	20	investment	investment	NOUN
fbem-26874	51	21	risk	risk	NOUN
fbem-26874	51	22	analysis	analysis	NOUN
fbem-26874	51	23	and	and	CCONJ
fbem-26874	51	24	evaluation	evaluation	NOUN
fbem-26874	51	25	techniques	technique	NOUN
fbem-26874	51	26	,	,	PUNCT
fbem-26874	51	27	enrich	enrich	VERB
fbem-26874	51	28	and	and	CCONJ
fbem-26874	51	29	improve	improve	VERB
fbem-26874	51	30	the	the	DET
fbem-26874	51	31	system	system	NOUN
fbem-26874	51	32	of	of	ADP
fbem-26874	51	33	stock	stock	NOUN
fbem-26874	51	34	investment	investment	NOUN
fbem-26874	51	35	risk	risk	NOUN
fbem-26874	51	36	analysis	analysis	NOUN
fbem-26874	51	37	and	and	CCONJ
fbem-26874	51	38	evaluation	evaluation	NOUN
fbem-26874	51	39	methods	method	NOUN
fbem-26874	51	40	.	.	PUNCT
fbem-26874	52	1	(	(	PUNCT
fbem-26874	52	2	2	2	X
fbem-26874	52	3	)	)	PUNCT
fbem-26874	52	4	introducing	introduce	VERB
fbem-26874	52	5	data	datum	NOUN
fbem-26874	52	6	mining	mining	NOUN
fbem-26874	52	7	techniques	technique	NOUN
fbem-26874	52	8	into	into	ADP
fbem-26874	52	9	stock	stock	NOUN
fbem-26874	52	10	investment	investment	NOUN
fbem-26874	52	11	risk	risk	NOUN
fbem-26874	52	12	analysis	analysis	NOUN
fbem-26874	52	13	and	and	CCONJ
fbem-26874	52	14	evaluation	evaluation	NOUN
fbem-26874	52	15	is	be	AUX
fbem-26874	52	16	beneficial	beneficial	ADJ
fbem-26874	52	17	for	for	ADP
fbem-26874	52	18	promoting	promote	VERB
fbem-26874	52	19	the	the	DET
fbem-26874	52	20	development	development	NOUN
fbem-26874	52	21	of	of	ADP
fbem-26874	52	22	methods	method	NOUN
fbem-26874	52	23	for	for	ADP
fbem-26874	52	24	stock	stock	NOUN
fbem-26874	52	25	investment	investment	NOUN
fbem-26874	52	26	risk	risk	NOUN
fbem-26874	52	27	analysis	analysis	NOUN
fbem-26874	52	28	and	and	CCONJ
fbem-26874	52	29	evaluation	evaluation	NOUN
fbem-26874	52	30	.	.	PUNCT
fbem-26874	53	1	(	(	PUNCT
fbem-26874	53	2	3	3	X
fbem-26874	53	3	)	)	PUNCT
fbem-26874	53	4	providing	provide	VERB
fbem-26874	53	5	a	a	DET
fbem-26874	53	6	quantitative	quantitative	ADJ
fbem-26874	53	7	analysis	analysis	NOUN
fbem-26874	53	8	technique	technique	NOUN
fbem-26874	53	9	for	for	ADP
fbem-26874	53	10	stock	stock	NOUN
fbem-26874	53	11	investment	investment	NOUN
fbem-26874	53	12	risk	risk	NOUN
fbem-26874	53	13	based	base	VERB
fbem-26874	53	14	on	on	ADP
fbem-26874	53	15	multiple	multiple	ADJ
fbem-26874	53	16	factors	factor	NOUN
fbem-26874	53	17	and	and	CCONJ
fbem-26874	53	18	applying	apply	VERB
fbem-26874	53	19	multiple	multiple	ADJ
fbem-26874	53	20	evaluation	evaluation	NOUN
fbem-26874	53	21	and	and	CCONJ
fbem-26874	53	22	prediction	prediction	NOUN
fbem-26874	53	23	index	index	NOUN
fbem-26874	53	24	indicators	indicator	NOUN
fbem-26874	53	25	is	be	AUX
fbem-26874	53	26	beneficial	beneficial	ADJ
fbem-26874	53	27	for	for	ADP
fbem-26874	53	28	improving	improve	VERB
fbem-26874	53	29	the	the	DET
fbem-26874	53	30	accuracy	accuracy	NOUN
fbem-26874	53	31	of	of	ADP
fbem-26874	53	32	evaluations	evaluation	NOUN
fbem-26874	53	33	.	.	PUNCT
fbem-26874	54	1	(	(	PUNCT
fbem-26874	54	2	4	4	X
fbem-26874	54	3	)	)	PUNCT
fbem-26874	54	4	provide	provide	VERB
fbem-26874	54	5	new	new	ADJ
fbem-26874	54	6	ideas	idea	NOUN
fbem-26874	54	7	and	and	CCONJ
fbem-26874	54	8	practical	practical	ADJ
fbem-26874	54	9	methods	method	NOUN
fbem-26874	54	10	for	for	ADP
fbem-26874	54	11	the	the	DET
fbem-26874	54	12	investment	investment	NOUN
fbem-26874	54	13	activities	activity	NOUN
fbem-26874	54	14	and	and	CCONJ
fbem-26874	54	15	decisions	decision	NOUN
fbem-26874	54	16	of	of	ADP
fbem-26874	54	17	individual	individual	ADJ
fbem-26874	54	18	and	and	CCONJ
fbem-26874	54	19	institutional	institutional	ADJ
fbem-26874	54	20	investors	investor	NOUN
fbem-26874	54	21	in	in	ADP
fbem-26874	54	22	the	the	DET
fbem-26874	54	23	stock	stock	NOUN
fbem-26874	54	24	market	market	NOUN
fbem-26874	54	25	.	.	PUNCT
fbem-26874	55	1	2	2	X
fbem-26874	55	2	.	.	X
fbem-26874	55	3	stock	stock	NOUN
fbem-26874	55	4	price	price	NOUN
fbem-26874	55	5	prediction	prediction	NOUN
fbem-26874	55	6	based	base	VERB
fbem-26874	55	7	on	on	ADP
fbem-26874	55	8	arima	arima	PROPN
fbem-26874	55	9	model	model	NOUN
fbem-26874	55	10	2.1	2.1	NUM
fbem-26874	55	11	.	.	PUNCT
fbem-26874	56	1	main	main	ADJ
fbem-26874	56	2	technical	technical	ADJ
fbem-26874	56	3	introduction	introduction	NOUN
fbem-26874	56	4	2.1.1	2.1.1	NUM
fbem-26874	56	5	.	.	PUNCT
fbem-26874	57	1	mean	mean	ADJ
fbem-26874	57	2	square	square	ADJ
fbem-26874	57	3	error	error	NOUN
fbem-26874	57	4	of	of	ADP
fbem-26874	57	5	mse	mse	PROPN
fbem-26874	57	6	mse	mse	PROPN
fbem-26874	57	7	is	be	AUX
fbem-26874	57	8	used	use	VERB
fbem-26874	57	9	to	to	PART
fbem-26874	57	10	measure	measure	VERB
fbem-26874	57	11	the	the	DET
fbem-26874	57	12	deviation	deviation	NOUN
fbem-26874	57	13	between	between	ADP
fbem-26874	57	14	predicted	predict	VERB
fbem-26874	57	15	and	and	CCONJ
fbem-26874	57	16	true	true	ADJ
fbem-26874	57	17	values	value	NOUN
fbem-26874	57	18	,	,	PUNCT
fbem-26874	57	19	and	and	CCONJ
fbem-26874	57	20	its	its	PRON
fbem-26874	57	21	formula	formula	NOUN
fbem-26874	57	22	is	be	AUX
fbem-26874	57	23	as	as	SCONJ
fbem-26874	57	24	follows	follow	VERB
fbem-26874	57	25	:	:	PUNCT
fbem-26874	57	26	1	1	NUM
fbem-26874	57	27	𝑚	𝑚	X
fbem-26874	57	28	∑	∑	PUNCT
fbem-26874	57	29	(	(	PUNCT
fbem-26874	57	30	𝑦𝑖	𝑦𝑖	PROPN
fbem-26874	57	31	−	−	PROPN
fbem-26874	57	32	�	�	PROPN
fbem-26874	57	33	̂	̂	VERB
fbem-26874	57	34	�	�	NOUN
fbem-26874	57	35	𝑖	𝑖	SYM
fbem-26874	57	36	)	)	PUNCT
fbem-26874	57	37	2𝑚	2𝑚	NOUN
fbem-26874	57	38	𝑖=1	𝑖=1	PUNCT
fbem-26874	57	39	(	(	PUNCT
fbem-26874	57	40	1	1	NUM
fbem-26874	57	41	)	)	PUNCT
fbem-26874	57	42	in	in	ADP
fbem-26874	57	43	equation	equation	NOUN
fbem-26874	57	44	(	(	PUNCT
fbem-26874	57	45	1	1	NUM
fbem-26874	57	46	)	)	PUNCT
fbem-26874	57	47	,	,	PUNCT
fbem-26874	57	48	is	be	AUX
fbem-26874	57	49	the	the	DET
fbem-26874	57	50	predicted	predict	VERB
fbem-26874	57	51	value	value	NOUN
fbem-26874	57	52	,	,	PUNCT
fbem-26874	57	53	is	be	AUX
fbem-26874	57	54	the	the	DET
fbem-26874	57	55	true	true	ADJ
fbem-26874	57	56	value	value	NOUN
fbem-26874	57	57	,	,	PUNCT
fbem-26874	57	58	and	and	CCONJ
fbem-26874	57	59	m	m	PROPN
fbem-26874	57	60	is	be	AUX
fbem-26874	57	61	the	the	DET
fbem-26874	57	62	data	data	NOUN
fbem-26874	57	63	size	size	NOUN
fbem-26874	57	64	.	.	PUNCT
fbem-26874	58	1	2.1.2	2.1.2	X
fbem-26874	58	2	.	.	X
fbem-26874	58	3	adf	adf	PROPN
fbem-26874	58	4	unit	unit	NOUN
fbem-26874	58	5	root	root	PROPN
fbem-26874	58	6	inspection	inspection	NOUN
fbem-26874	58	7	unit	unit	NOUN
fbem-26874	58	8	root	root	PROPN
fbem-26874	58	9	test	test	NOUN
fbem-26874	58	10	refers	refer	VERB
fbem-26874	58	11	to	to	ADP
fbem-26874	58	12	checking	check	VERB
fbem-26874	58	13	whether	whether	SCONJ
fbem-26874	58	14	there	there	PRON
fbem-26874	58	15	are	be	VERB
fbem-26874	58	16	unit	unit	NOUN
fbem-26874	58	17	roots	root	NOUN
fbem-26874	58	18	in	in	ADP
fbem-26874	58	19	a	a	DET
fbem-26874	58	20	sequence	sequence	NOUN
fbem-26874	58	21	,	,	PUNCT
fbem-26874	58	22	as	as	SCONJ
fbem-26874	58	23	the	the	DET
fbem-26874	58	24	existence	existence	NOUN
fbem-26874	58	25	of	of	ADP
fbem-26874	58	26	unit	unit	NOUN
fbem-26874	58	27	roots	root	NOUN
fbem-26874	58	28	is	be	AUX
fbem-26874	58	29	a	a	DET
fbem-26874	58	30	non	non	ADJ
fbem-26874	58	31	-	-	ADJ
fbem-26874	58	32	stationary	stationary	ADJ
fbem-26874	58	33	time	time	NOUN
fbem-26874	58	34	series	series	PROPN
fbem-26874	58	35	.	.	PUNCT
fbem-26874	59	1	unit	unit	NOUN
fbem-26874	59	2	root	root	PROPN
fbem-26874	59	3	refers	refer	VERB
fbem-26874	59	4	to	to	ADP
fbem-26874	59	5	the	the	DET
fbem-26874	59	6	unit	unit	NOUN
fbem-26874	59	7	root	root	NOUN
fbem-26874	59	8	process	process	NOUN
fbem-26874	59	9	,	,	PUNCT
fbem-26874	59	10	which	which	PRON
fbem-26874	59	11	can	can	AUX
fbem-26874	59	12	prove	prove	VERB
fbem-26874	59	13	that	that	SCONJ
fbem-26874	59	14	the	the	DET
fbem-26874	59	15	presence	presence	NOUN
fbem-26874	59	16	of	of	ADP
fbem-26874	59	17	unit	unit	NOUN
fbem-26874	59	18	root	root	NOUN
fbem-26874	59	19	processes	process	NOUN
fbem-26874	59	20	in	in	ADP
fbem-26874	59	21	a	a	DET
fbem-26874	59	22	sequence	sequence	NOUN
fbem-26874	59	23	is	be	AUX
fbem-26874	59	24	non	non	ADJ
fbem-26874	59	25	-	-	ADJ
fbem-26874	59	26	stationary	stationary	ADJ
fbem-26874	59	27	and	and	CCONJ
fbem-26874	59	28	can	can	AUX
fbem-26874	59	29	lead	lead	VERB
fbem-26874	59	30	to	to	ADP
fbem-26874	59	31	spurious	spurious	ADJ
fbem-26874	59	32	regression	regression	NOUN
fbem-26874	59	33	in	in	ADP
fbem-26874	59	34	regression	regression	NOUN
fbem-26874	59	35	analysis	analysis	NOUN
fbem-26874	59	36	.	.	PUNCT
fbem-26874	60	1	stability	stability	NOUN
fbem-26874	60	2	is	be	AUX
fbem-26874	60	3	a	a	DET
fbem-26874	60	4	necessary	necessary	ADJ
fbem-26874	60	5	condition	condition	NOUN
fbem-26874	60	6	for	for	ADP
fbem-26874	60	7	the	the	DET
fbem-26874	60	8	autoregressive	autoregressive	ADJ
fbem-26874	60	9	model	model	NOUN
fbem-26874	60	10	arma	arma	PROPN
fbem-26874	60	11	,	,	PUNCT
fbem-26874	60	12	so	so	SCONJ
fbem-26874	60	13	for	for	ADP
fbem-26874	60	14	time	time	NOUN
fbem-26874	60	15	series	series	NOUN
fbem-26874	60	16	,	,	PUNCT
fbem-26874	60	17	the	the	DET
fbem-26874	60	18	first	first	ADJ
fbem-26874	60	19	step	step	NOUN
fbem-26874	60	20	is	be	AUX
fbem-26874	60	21	to	to	PART
fbem-26874	60	22	ensure	ensure	VERB
fbem-26874	60	23	that	that	SCONJ
fbem-26874	60	24	the	the	DET
fbem-26874	60	25	n	n	CCONJ
fbem-26874	60	26	-	-	PUNCT
fbem-26874	60	27	order	order	NOUN
fbem-26874	60	28	difference	difference	NOUN
fbem-26874	60	29	sequence	sequence	NOUN
fbem-26874	60	30	applied	apply	VERB
fbem-26874	60	31	to	to	ADP
fbem-26874	60	32	autoregression	autoregression	NOUN
fbem-26874	60	33	is	be	AUX
fbem-26874	60	34	stationary	stationary	ADJ
fbem-26874	60	35	.	.	PUNCT
fbem-26874	61	1	2.1.3	2.1.3	NUM
fbem-26874	61	2	.	.	X
fbem-26874	61	3	acf	acf	PROPN
fbem-26874	61	4	,	,	PUNCT
fbem-26874	61	5	pacf	pacf	NOUN
fbem-26874	61	6	autocorrelation	autocorrelation	NOUN
fbem-26874	61	7	coefficient	coefficient	NOUN
fbem-26874	61	8	and	and	CCONJ
fbem-26874	61	9	partial	partial	ADJ
fbem-26874	61	10	autocorrelation	autocorrelation	NOUN
fbem-26874	61	11	coefficient	coefficient	NOUN
fbem-26874	61	12	in	in	ADP
fbem-26874	61	13	time	time	NOUN
fbem-26874	61	14	series	series	PROPN
fbem-26874	61	15	analysis	analysis	NOUN
fbem-26874	61	16	,	,	PUNCT
fbem-26874	61	17	autocorrelation	autocorrelation	NOUN
fbem-26874	61	18	function	function	NOUN
fbem-26874	61	19	(	(	PUNCT
fbem-26874	61	20	acf	acf	PROPN
fbem-26874	61	21	)	)	PUNCT
fbem-26874	61	22	and	and	CCONJ
fbem-26874	61	23	partial	partial	ADJ
fbem-26874	61	24	autocorrelation	autocorrelation	NOUN
fbem-26874	61	25	function	function	NOUN
fbem-26874	61	26	(	(	PUNCT
fbem-26874	61	27	pacf	pacf	NOUN
fbem-26874	61	28	)	)	PUNCT
fbem-26874	61	29	are	be	AUX
fbem-26874	61	30	commonly	commonly	ADV
fbem-26874	61	31	used	use	VERB
fbem-26874	61	32	to	to	PART
fbem-26874	61	33	determine	determine	VERB
fbem-26874	61	34	the	the	DET
fbem-26874	61	35	coefficients	coefficient	NOUN
fbem-26874	61	36	and	and	CCONJ
fbem-26874	61	37	order	order	NOUN
fbem-26874	61	38	of	of	ADP
fbem-26874	61	39	arma	arma	PROPN
fbem-26874	61	40	(	(	PUNCT
fbem-26874	61	41	p	p	X
fbem-26874	61	42	,	,	PUNCT
fbem-26874	61	43	q	q	NOUN
fbem-26874	61	44	)	)	PUNCT
fbem-26874	61	45	models	model	NOUN
fbem-26874	61	46	.	.	PUNCT
fbem-26874	62	1	the	the	DET
fbem-26874	62	2	autocorrelation	autocorrelation	NOUN
fbem-26874	62	3	function	function	NOUN
fbem-26874	62	4	(	(	PUNCT
fbem-26874	62	5	acf	acf	PROPN
fbem-26874	62	6	)	)	PUNCT
fbem-26874	62	7	describes	describe	VERB
fbem-26874	62	8	the	the	DET
fbem-26874	62	9	linear	linear	ADJ
fbem-26874	62	10	correlation	correlation	NOUN
fbem-26874	62	11	between	between	ADP
fbem-26874	62	12	time	time	NOUN
fbem-26874	62	13	series	series	NOUN
fbem-26874	62	14	observations	observation	NOUN
fbem-26874	62	15	and	and	CCONJ
fbem-26874	62	16	their	their	PRON
fbem-26874	62	17	past	past	ADJ
fbem-26874	62	18	observations	observation	NOUN
fbem-26874	62	19	.	.	PUNCT
fbem-26874	63	1	partial	partial	ADJ
fbem-26874	63	2	autocorrelation	autocorrelation	NOUN
fbem-26874	63	3	function	function	NOUN
fbem-26874	63	4	(	(	PUNCT
fbem-26874	63	5	pacf	pacf	NOUN
fbem-26874	63	6	)	)	PUNCT
fbem-26874	63	7	describes	describe	VERB
fbem-26874	63	8	the	the	DET
fbem-26874	63	9	linear	linear	ADJ
fbem-26874	63	10	correlation	correlation	NOUN
fbem-26874	63	11	between	between	ADP
fbem-26874	63	12	time	time	NOUN
fbem-26874	63	13	series	series	NOUN
fbem-26874	63	14	observations	observation	NOUN
fbem-26874	63	15	and	and	CCONJ
fbem-26874	63	16	their	their	PRON
fbem-26874	63	17	past	past	ADJ
fbem-26874	63	18	observations	observation	NOUN
fbem-26874	63	19	given	give	VERB
fbem-26874	63	20	intermediate	intermediate	ADJ
fbem-26874	63	21	observations	observation	NOUN
fbem-26874	63	22	.	.	PUNCT
fbem-26874	64	1	the	the	DET
fbem-26874	64	2	calculation	calculation	NOUN
fbem-26874	64	3	formula	formula	NOUN
fbem-26874	64	4	is	be	AUX
fbem-26874	64	5	as	as	SCONJ
fbem-26874	64	6	follows	follow	VERB
fbem-26874	64	7	:	:	PUNCT
fbem-26874	64	8	acf(k	acf(k	X
fbem-26874	64	9	)	)	PUNCT
fbem-26874	64	10	=	=	SYM
fbem-26874	65	1	𝜌𝑘	𝜌𝑘	VERB
fbem-26874	65	2	=	=	SYM
fbem-26874	65	3	𝐶𝑜𝑣(𝑦𝑡,𝑦𝑡−𝑘	𝐶𝑜𝑣(𝑦𝑡,𝑦𝑡−𝑘	ADJ
fbem-26874	65	4	)	)	PUNCT
fbem-26874	65	5	𝑉𝑎𝑟(𝑦𝑡	𝑉𝑎𝑟(𝑦𝑡	NOUN
fbem-26874	65	6	)	)	PUNCT
fbem-26874	65	7	(	(	PUNCT
fbem-26874	65	8	2	2	X
fbem-26874	65	9	)	)	PUNCT
fbem-26874	65	10	2.1.4	2.1.4	NUM
fbem-26874	65	11	.	.	PUNCT
fbem-26874	66	1	aic	aic	PROPN
fbem-26874	66	2	criteria	criteria	VERB
fbem-26874	66	3	aic	aic	PROPN
fbem-26874	66	4	:	:	PUNCT
fbem-26874	66	5	akaike	akaike	ADJ
fbem-26874	66	6	information	information	NOUN
fbem-26874	66	7	criterion	criterion	NOUN
fbem-26874	66	8	(	(	PUNCT
fbem-26874	66	9	aic	aic	PROPN
fbem-26874	66	10	)	)	PUNCT
fbem-26874	66	11	is	be	AUX
fbem-26874	66	12	a	a	DET
fbem-26874	66	13	commonly	commonly	ADV
fbem-26874	66	14	used	use	VERB
fbem-26874	66	15	method	method	NOUN
fbem-26874	66	16	for	for	ADP
fbem-26874	66	17	evaluating	evaluate	VERB
fbem-26874	66	18	the	the	DET
fbem-26874	66	19	quality	quality	NOUN
fbem-26874	66	20	of	of	ADP
fbem-26874	66	21	arima	arima	NOUN
fbem-26874	66	22	models	model	NOUN
fbem-26874	66	23	.	.	PUNCT
fbem-26874	67	1	its	its	PRON
fbem-26874	67	2	calculation	calculation	NOUN
fbem-26874	67	3	formula	formula	NOUN
fbem-26874	67	4	is	be	AUX
fbem-26874	67	5	as	as	SCONJ
fbem-26874	67	6	follows	follow	VERB
fbem-26874	67	7	:	:	PUNCT
fbem-26874	67	8	aic	aic	PROPN
fbem-26874	67	9	=	=	PROPN
fbem-26874	67	10	2k	2k	PROPN
fbem-26874	67	11	−	−	PROPN
fbem-26874	67	12	2ln⁡(l	2ln⁡(l	NUM
fbem-26874	67	13	)	)	PUNCT
fbem-26874	67	14	(	(	PUNCT
fbem-26874	67	15	3	3	X
fbem-26874	67	16	)	)	PUNCT
fbem-26874	67	17	among	among	ADP
fbem-26874	67	18	them	they	PRON
fbem-26874	67	19	,	,	PUNCT
fbem-26874	67	20	k	k	PROPN
fbem-26874	67	21	is	be	AUX
fbem-26874	67	22	the	the	DET
fbem-26874	67	23	number	number	NOUN
fbem-26874	67	24	of	of	ADP
fbem-26874	67	25	model	model	NOUN
fbem-26874	67	26	parameters	parameter	NOUN
fbem-26874	67	27	,	,	PUNCT
fbem-26874	67	28	n	n	PRON
fbem-26874	67	29	is	be	AUX
fbem-26874	67	30	the	the	DET
fbem-26874	67	31	number	number	NOUN
fbem-26874	67	32	of	of	ADP
fbem-26874	67	33	samples	sample	NOUN
fbem-26874	67	34	,	,	PUNCT
fbem-26874	67	35	and	and	CCONJ
fbem-26874	67	36	l	l	NOUN
fbem-26874	67	37	is	be	AUX
fbem-26874	67	38	the	the	DET
fbem-26874	67	39	likelihood	likelihood	NOUN
fbem-26874	67	40	function	function	NOUN
fbem-26874	67	41	.	.	PUNCT
fbem-26874	68	1	2.1.5	2.1.5	X
fbem-26874	68	2	.	.	PUNCT
fbem-26874	68	3	arima	arima	PROPN
fbem-26874	68	4	model	model	NOUN
fbem-26874	68	5	(	(	PUNCT
fbem-26874	68	6	1	1	NUM
fbem-26874	68	7	)	)	PUNCT
fbem-26874	68	8	autoregressive	autoregressive	ADJ
fbem-26874	68	9	model	model	NOUN
fbem-26874	68	10	ar	ar	NOUN
fbem-26874	68	11	the	the	DET
fbem-26874	68	12	autoregressive	autoregressive	ADJ
fbem-26874	68	13	model	model	NOUN
fbem-26874	68	14	first	first	ADV
fbem-26874	68	15	needs	need	VERB
fbem-26874	68	16	to	to	PART
fbem-26874	68	17	determine	determine	VERB
fbem-26874	68	18	an	an	DET
fbem-26874	68	19	order	order	NOUN
fbem-26874	68	20	p	p	NOUN
fbem-26874	68	21	,	,	PUNCT
fbem-26874	68	22	which	which	PRON
fbem-26874	68	23	represents	represent	VERB
fbem-26874	68	24	the	the	DET
fbem-26874	68	25	number	number	NOUN
fbem-26874	68	26	of	of	ADP
fbem-26874	68	27	historical	historical	ADJ
fbem-26874	68	28	values	value	NOUN
fbem-26874	68	29	used	use	VERB
fbem-26874	68	30	to	to	PART
fbem-26874	68	31	predict	predict	VERB
fbem-26874	68	32	the	the	DET
fbem-26874	68	33	current	current	ADJ
fbem-26874	68	34	value	value	NOUN
fbem-26874	68	35	.	.	PUNCT
fbem-26874	69	1	the	the	DET
fbem-26874	69	2	formula	formula	NOUN
fbem-26874	69	3	for	for	ADP
fbem-26874	69	4	the	the	DET
fbem-26874	69	5	p	p	NOUN
fbem-26874	69	6	-	-	PUNCT
fbem-26874	69	7	order	order	NOUN
fbem-26874	69	8	autoregressive	autoregressive	ADJ
fbem-26874	69	9	model	model	NOUN
fbem-26874	69	10	is	be	AUX
fbem-26874	69	11	defined	define	VERB
fbem-26874	69	12	as	as	ADP
fbem-26874	69	13	:	:	PUNCT
fbem-26874	69	14	y𝑡	y𝑡	PROPN
fbem-26874	69	15	=	=	PUNCT
fbem-26874	69	16	𝜇	𝜇	X
fbem-26874	69	17	+	+	X
fbem-26874	69	18	∑	∑	PROPN
fbem-26874	69	19	𝛾𝑖𝑦𝑡−𝑖	𝛾𝑖𝑦𝑡−𝑖	PROPN
fbem-26874	70	1	+	+	NOUN
fbem-26874	70	2	∈𝑡	∈𝑡	PROPN
fbem-26874	70	3	𝑝	𝑝	SYM
fbem-26874	70	4	𝑖=1	𝑖=1	PROPN
fbem-26874	70	5	(	(	PUNCT
fbem-26874	70	6	4	4	NUM
fbem-26874	70	7	)	)	PUNCT
fbem-26874	70	8	in	in	ADP
fbem-26874	70	9	the	the	DET
fbem-26874	70	10	above	above	ADJ
fbem-26874	70	11	equation	equation	NOUN
fbem-26874	70	12	,	,	PUNCT
fbem-26874	70	13	yt	yt	PROPN
fbem-26874	70	14	is	be	AUX
fbem-26874	70	15	the	the	DET
fbem-26874	70	16	current	current	ADJ
fbem-26874	70	17	value	value	NOUN
fbem-26874	70	18	,	,	PUNCT
fbem-26874	70	19	u	u	NOUN
fbem-26874	70	20	is	be	AUX
fbem-26874	70	21	a	a	DET
fbem-26874	70	22	constant	constant	ADJ
fbem-26874	70	23	term	term	NOUN
fbem-26874	70	24	,	,	PUNCT
fbem-26874	70	25	p	p	NOUN
fbem-26874	70	26	is	be	AUX
fbem-26874	70	27	the	the	DET
fbem-26874	70	28	order	order	NOUN
fbem-26874	70	29	,	,	PUNCT
fbem-26874	70	30	γ	γ	X
fbem-26874	70	31	i	i	PRON
fbem-26874	70	32	is	be	AUX
fbem-26874	70	33	the	the	DET
fbem-26874	70	34	autocorrelation	autocorrelation	NOUN
fbem-26874	70	35	coefficient	coefficient	NOUN
fbem-26874	70	36	,	,	PUNCT
fbem-26874	70	37	and	and	CCONJ
fbem-26874	70	38	et	et	NOUN
fbem-26874	70	39	is	be	AUX
fbem-26874	70	40	the	the	DET
fbem-26874	70	41	error	error	NOUN
fbem-26874	70	42	.	.	PUNCT
fbem-26874	71	1	(	(	PUNCT
fbem-26874	71	2	2	2	X
fbem-26874	71	3	)	)	PUNCT
fbem-26874	71	4	moving	move	VERB
fbem-26874	71	5	average	average	ADJ
fbem-26874	71	6	model	model	NOUN
fbem-26874	71	7	ma	ma	PROPN
fbem-26874	71	8	the	the	DET
fbem-26874	71	9	moving	move	VERB
fbem-26874	71	10	average	average	ADJ
fbem-26874	71	11	model	model	NOUN
fbem-26874	71	12	focuses	focus	VERB
fbem-26874	71	13	on	on	ADP
fbem-26874	71	14	the	the	DET
fbem-26874	71	15	accumulation	accumulation	NOUN
fbem-26874	71	16	of	of	ADP
fbem-26874	71	17	error	error	NOUN
fbem-26874	71	18	terms	term	NOUN
fbem-26874	71	19	in	in	ADP
fbem-26874	71	20	the	the	DET
fbem-26874	71	21	autoregressive	autoregressive	ADJ
fbem-26874	71	22	model	model	NOUN
fbem-26874	71	23	.	.	PUNCT
fbem-26874	72	1	the	the	DET
fbem-26874	72	2	formula	formula	NOUN
fbem-26874	72	3	for	for	ADP
fbem-26874	72	4	the	the	DET
fbem-26874	72	5	q	q	ADJ
fbem-26874	72	6	-	-	PUNCT
fbem-26874	72	7	order	order	NOUN
fbem-26874	72	8	autoregressive	autoregressive	ADJ
fbem-26874	72	9	process	process	NOUN
fbem-26874	72	10	is	be	AUX
fbem-26874	72	11	defined	define	VERB
fbem-26874	72	12	as	as	SCONJ
fbem-26874	72	13	follows	follow	VERB
fbem-26874	72	14	:	:	PUNCT
fbem-26874	72	15	y𝑡	y𝑡	PROPN
fbem-26874	72	16	=	=	PUNCT
fbem-26874	72	17	𝜇	𝜇	X
fbem-26874	72	18	+	+	X
fbem-26874	72	19	𝜖𝑡	𝜖𝑡	PROPN
fbem-26874	72	20	+	+	NOUN
fbem-26874	72	21	∑	∑	PROPN
fbem-26874	72	22	𝜃𝑖𝜖𝑡−𝑖	𝜃𝑖𝜖𝑡−𝑖	NUM
fbem-26874	72	23	𝑞	𝑞	PROPN
fbem-26874	72	24	𝑖=1	𝑖=1	PROPN
fbem-26874	72	25	(	(	PUNCT
fbem-26874	72	26	5	5	X
fbem-26874	72	27	)	)	PUNCT
fbem-26874	72	28	the	the	DET
fbem-26874	72	29	moving	move	VERB
fbem-26874	72	30	average	average	ADJ
fbem-26874	72	31	method	method	NOUN
fbem-26874	72	32	can	can	AUX
fbem-26874	72	33	effectively	effectively	ADV
fbem-26874	72	34	eliminate	eliminate	VERB
fbem-26874	72	35	random	random	ADJ
fbem-26874	72	36	fluctuations	fluctuation	NOUN
fbem-26874	72	37	in	in	ADP
fbem-26874	72	38	predictions	prediction	NOUN
fbem-26874	72	39	.	.	PUNCT
fbem-26874	73	1	(	(	PUNCT
fbem-26874	73	2	3	3	X
fbem-26874	73	3	)	)	PUNCT
fbem-26874	73	4	autoregressive	autoregressive	ADJ
fbem-26874	73	5	moving	move	VERB
fbem-26874	73	6	average	average	ADJ
fbem-26874	73	7	model	model	NOUN
fbem-26874	73	8	arma	arma	NOUN
fbem-26874	73	9	by	by	ADP
fbem-26874	73	10	combining	combine	VERB
fbem-26874	73	11	the	the	DET
fbem-26874	73	12	autoregressive	autoregressive	ADJ
fbem-26874	73	13	model	model	NOUN
fbem-26874	73	14	ar	ar	PROPN
fbem-26874	73	15	with	with	ADP
fbem-26874	73	16	the	the	DET
fbem-26874	73	17	moving	move	VERB
fbem-26874	73	18	average	average	ADJ
fbem-26874	73	19	model	model	NOUN
fbem-26874	73	20	ma	ma	PROPN
fbem-26874	73	21	,	,	PUNCT
fbem-26874	73	22	we	we	PRON
fbem-26874	73	23	obtain	obtain	VERB
fbem-26874	73	24	the	the	DET
fbem-26874	73	25	autoregressive	autoregressive	ADJ
fbem-26874	73	26	moving	move	VERB
fbem-26874	73	27	average	average	ADJ
fbem-26874	73	28	model	model	NOUN
fbem-26874	73	29	arma	arma	PROPN
fbem-26874	73	30	(	(	PUNCT
fbem-26874	73	31	p	p	X
fbem-26874	73	32	,	,	PUNCT
fbem-26874	73	33	q	q	NOUN
fbem-26874	73	34	)	)	PUNCT
fbem-26874	73	35	,	,	PUNCT
fbem-26874	73	36	which	which	PRON
fbem-26874	73	37	is	be	AUX
fbem-26874	73	38	calculated	calculate	VERB
fbem-26874	73	39	using	use	VERB
fbem-26874	73	40	the	the	DET
fbem-26874	73	41	following	follow	VERB
fbem-26874	73	42	formula	formula	NOUN
fbem-26874	73	43	:	:	PUNCT
fbem-26874	74	1	y𝑡	y𝑡	NOUN
fbem-26874	74	2	=	=	PUNCT
fbem-26874	75	1	𝜇	𝜇	ADP
fbem-26874	75	2	+	+	NOUN
fbem-26874	75	3	∑	∑	PROPN
fbem-26874	75	4	𝛾𝑖𝑦𝑖−1	𝛾𝑖𝑦𝑖−1	PROPN
fbem-26874	75	5	+	+	CCONJ
fbem-26874	75	6	𝜖𝑡	𝜖𝑡	ADP
fbem-26874	75	7	+	+	ADP
fbem-26874	75	8	∑	∑	PROPN
fbem-26874	75	9	𝜃𝑖𝜖𝑡−𝑖	𝜃𝑖𝜖𝑡−𝑖	NUM
fbem-26874	75	10	𝑞	𝑞	PROPN
fbem-26874	75	11	𝑖=1	𝑖=1	PROPN
fbem-26874	75	12	𝑝	𝑝	PROPN
fbem-26874	75	13	𝑖=1	𝑖=1	PROPN
fbem-26874	75	14	(	(	PUNCT
fbem-26874	75	15	6	6	NUM
fbem-26874	75	16	)	)	PUNCT
fbem-26874	75	17	2.2	2.2	NUM
fbem-26874	75	18	.	.	PUNCT
fbem-26874	76	1	establishment	establishment	NOUN
fbem-26874	76	2	,	,	PUNCT
fbem-26874	76	3	analysis	analysis	NOUN
fbem-26874	76	4	,	,	PUNCT
fbem-26874	76	5	and	and	CCONJ
fbem-26874	76	6	validation	validation	NOUN
fbem-26874	76	7	of	of	ADP
fbem-26874	76	8	time	time	NOUN
fbem-26874	76	9	series	series	PROPN
fbem-26874	76	10	data	data	NOUN
fbem-26874	76	11	models	model	NOUN
fbem-26874	76	12	the	the	DET
fbem-26874	76	13	arima	arima	PROPN
fbem-26874	76	14	model	model	NOUN
fbem-26874	76	15	is	be	AUX
fbem-26874	76	16	used	use	VERB
fbem-26874	76	17	in	in	ADP
fbem-26874	76	18	this	this	DET
fbem-26874	76	19	article	article	NOUN
fbem-26874	76	20	,	,	PUNCT
fbem-26874	76	21	and	and	CCONJ
fbem-26874	76	22	the	the	DET
fbem-26874	76	23	selected	select	VERB
fbem-26874	76	24	data	datum	NOUN
fbem-26874	76	25	includes	include	VERB
fbem-26874	76	26	the	the	DET
fbem-26874	76	27	closing	closing	NOUN
fbem-26874	76	28	,	,	PUNCT
fbem-26874	76	29	opening	opening	NOUN
fbem-26874	76	30	,	,	PUNCT
fbem-26874	76	31	and	and	CCONJ
fbem-26874	76	32	fluctuations	fluctuation	NOUN
fbem-26874	76	33	of	of	ADP
fbem-26874	76	34	a	a	DET
fbem-26874	76	35	listed	list	VERB
fbem-26874	76	36	company	company	NOUN
fbem-26874	76	37	from	from	ADP
fbem-26874	76	38	march	march	PROPN
fbem-26874	76	39	26	26	NUM
fbem-26874	76	40	,	,	PUNCT
fbem-26874	76	41	2020	2020	NUM
fbem-26874	76	42	to	to	ADP
fbem-26874	76	43	march	march	PROPN
fbem-26874	76	44	26	26	NUM
fbem-26874	76	45	,	,	PUNCT
fbem-26874	76	46	2021	2021	NUM
fbem-26874	76	47	.	.	PUNCT
fbem-26874	77	1	using	use	VERB
fbem-26874	77	2	arima	arima	PROPN
fbem-26874	77	3	(	(	PUNCT
fbem-26874	77	4	p	p	X
fbem-26874	77	5	,	,	PUNCT
fbem-26874	77	6	d	d	NOUN
fbem-26874	77	7	,	,	PUNCT
fbem-26874	77	8	q	q	NOUN
fbem-26874	77	9	)	)	PUNCT
fbem-26874	77	10	model	model	NOUN
fbem-26874	77	11	to	to	PART
fbem-26874	77	12	predict	predict	VERB
fbem-26874	77	13	stock	stock	NOUN
fbem-26874	77	14	prices	price	NOUN
fbem-26874	77	15	can	can	AUX
fbem-26874	77	16	help	help	VERB
fbem-26874	77	17	us	we	PRON
fbem-26874	77	18	better	well	ADV
fbem-26874	77	19	understand	understand	VERB
fbem-26874	77	20	financial	financial	ADJ
fbem-26874	77	21	related	relate	VERB
fbem-26874	77	22	knowledge	knowledge	NOUN
fbem-26874	77	23	.	.	PUNCT
fbem-26874	78	1	the	the	DET
fbem-26874	78	2	stock	stock	NOUN
fbem-26874	78	3	prices	price	NOUN
fbem-26874	78	4	of	of	ADP
fbem-26874	78	5	listed	list	VERB
fbem-26874	78	6	companies	company	NOUN
fbem-26874	78	7	can	can	AUX
fbem-26874	78	8	be	be	AUX
fbem-26874	78	9	predicted	predict	VERB
fbem-26874	78	10	using	use	VERB
fbem-26874	78	11	the	the	DET
fbem-26874	78	12	basic	basic	ADJ
fbem-26874	78	13	arima	arima	NOUN
fbem-26874	78	14	(	(	PUNCT
fbem-26874	78	15	automatic	automatic	ADJ
fbem-26874	78	16	regression	regression	NOUN
fbem-26874	78	17	integral	integral	ADJ
fbem-26874	78	18	moving	move	VERB
fbem-26874	78	19	average	average	ADJ
fbem-26874	78	20	)	)	PUNCT
fbem-26874	78	21	model	model	NOUN
fbem-26874	78	22	.	.	PUNCT
fbem-26874	79	1	232	232	NUM
fbem-26874	79	2	2.3	2.3	NUM
fbem-26874	79	3	.	.	PUNCT
fbem-26874	80	1	implementation	implementation	NOUN
fbem-26874	80	2	steps	step	NOUN
fbem-26874	80	3	1	1	NUM
fbem-26874	80	4	)	)	PUNCT
fbem-26874	80	5	load	load	NOUN
fbem-26874	80	6	data	datum	NOUN
fbem-26874	80	7	and	and	CCONJ
fbem-26874	80	8	extract	extract	VERB
fbem-26874	80	9	its	its	PRON
fbem-26874	80	10	stable	stable	ADJ
fbem-26874	80	11	data	datum	NOUN
fbem-26874	80	12	.	.	PUNCT
fbem-26874	81	1	if	if	SCONJ
fbem-26874	81	2	the	the	DET
fbem-26874	81	3	data	data	NOUN
fbem-26874	81	4	is	be	AUX
fbem-26874	81	5	not	not	PART
fbem-26874	81	6	stable	stable	ADJ
fbem-26874	81	7	,	,	PUNCT
fbem-26874	81	8	differential	differential	ADJ
fbem-26874	81	9	operations	operation	NOUN
fbem-26874	81	10	can	can	AUX
fbem-26874	81	11	be	be	AUX
fbem-26874	81	12	performed	perform	VERB
fbem-26874	81	13	until	until	SCONJ
fbem-26874	81	14	the	the	DET
fbem-26874	81	15	data	datum	NOUN
fbem-26874	81	16	becomes	become	VERB
fbem-26874	81	17	stable	stable	ADJ
fbem-26874	81	18	.	.	PUNCT
fbem-26874	82	1	2	2	X
fbem-26874	82	2	)	)	PUNCT
fbem-26874	82	3	conduct	conduct	NOUN
fbem-26874	82	4	hypothesis	hypothesis	NOUN
fbem-26874	82	5	testing	testing	NOUN
fbem-26874	82	6	,	,	PUNCT
fbem-26874	82	7	and	and	CCONJ
fbem-26874	82	8	if	if	SCONJ
fbem-26874	82	9	successful	successful	ADJ
fbem-26874	82	10	,	,	PUNCT
fbem-26874	82	11	continue	continue	VERB
fbem-26874	82	12	with	with	ADP
fbem-26874	82	13	(	(	PUNCT
fbem-26874	82	14	h	h	NOUN
fbem-26874	82	15	=	=	NOUN
fbem-26874	82	16	logic	logic	NOUN
fbem-26874	82	17	1	1	NUM
fbem-26874	82	18	)	)	PUNCT
fbem-26874	82	19	3	3	NUM
fbem-26874	82	20	)	)	PUNCT
fbem-26874	82	21	generate	generate	VERB
fbem-26874	82	22	autocorrelation	autocorrelation	NOUN
fbem-26874	82	23	and	and	CCONJ
fbem-26874	82	24	partial	partial	ADJ
fbem-26874	82	25	autocorrelation	autocorrelation	NOUN
fbem-26874	82	26	that	that	PRON
fbem-26874	82	27	help	help	AUX
fbem-26874	82	28	find	find	VERB
fbem-26874	82	29	ar	ar	NOUN
fbem-26874	82	30	and	and	CCONJ
fbem-26874	82	31	ma	ma	PROPN
fbem-26874	82	32	ranges	range	VERB
fbem-26874	82	33	4	4	NUM
fbem-26874	82	34	)	)	PUNCT
fbem-26874	82	35	construct	construct	VERB
fbem-26874	82	36	algorithms	algorithm	NOUN
fbem-26874	82	37	to	to	PART
fbem-26874	82	38	find	find	VERB
fbem-26874	82	39	the	the	DET
fbem-26874	82	40	best	good	ADJ
fbem-26874	82	41	arima	arima	NOUN
fbem-26874	82	42	model	model	NOUN
fbem-26874	82	43	5	5	NUM
fbem-26874	82	44	)	)	PUNCT
fbem-26874	82	45	use	use	VERB
fbem-26874	82	46	the	the	DET
fbem-26874	82	47	selected	select	VERB
fbem-26874	82	48	arima	arima	NOUN
fbem-26874	82	49	model	model	NOUN
fbem-26874	82	50	to	to	PART
fbem-26874	82	51	generate	generate	VERB
fbem-26874	82	52	prediction	prediction	NOUN
fbem-26874	82	53	curves	curve	NOUN
fbem-26874	82	54	and	and	CCONJ
fbem-26874	82	55	compare	compare	VERB
fbem-26874	82	56	them	they	PRON
fbem-26874	82	57	with	with	ADP
fbem-26874	82	58	the	the	DET
fbem-26874	82	59	original	original	ADJ
fbem-26874	82	60	data	datum	NOUN
fbem-26874	82	61	6	6	NUM
fbem-26874	82	62	)	)	PUNCT
fbem-26874	82	63	predict	predict	VERB
fbem-26874	82	64	the	the	DET
fbem-26874	82	65	future	future	ADJ
fbem-26874	82	66	stock	stock	NOUN
fbem-26874	82	67	price	price	NOUN
fbem-26874	82	68	and	and	CCONJ
fbem-26874	82	69	compare	compare	VERB
fbem-26874	82	70	it	it	PRON
fbem-26874	82	71	with	with	ADP
fbem-26874	82	72	the	the	DET
fbem-26874	82	73	actual	actual	ADJ
fbem-26874	82	74	value	value	NOUN
fbem-26874	82	75	.	.	PUNCT
fbem-26874	83	1	organize	organize	VERB
fbem-26874	83	2	the	the	DET
fbem-26874	83	3	raw	raw	ADJ
fbem-26874	83	4	data	datum	NOUN
fbem-26874	83	5	and	and	CCONJ
fbem-26874	83	6	create	create	VERB
fbem-26874	83	7	a	a	DET
fbem-26874	83	8	trend	trend	NOUN
fbem-26874	83	9	chart	chart	NOUN
fbem-26874	83	10	as	as	SCONJ
fbem-26874	83	11	shown	show	VERB
fbem-26874	83	12	below	below	ADP
fbem-26874	83	13	,	,	PUNCT
fbem-26874	83	14	which	which	PRON
fbem-26874	83	15	provides	provide	VERB
fbem-26874	83	16	a	a	DET
fbem-26874	83	17	preliminary	preliminary	ADJ
fbem-26874	83	18	understanding	understanding	NOUN
fbem-26874	83	19	of	of	ADP
fbem-26874	83	20	the	the	DET
fbem-26874	83	21	stock	stock	NOUN
fbem-26874	83	22	's	's	PART
fbem-26874	83	23	upward	upward	ADJ
fbem-26874	83	24	trend	trend	NOUN
fbem-26874	83	25	from	from	ADP
fbem-26874	83	26	march	march	PROPN
fbem-26874	83	27	2020	2020	NUM
fbem-26874	83	28	to	to	ADP
fbem-26874	83	29	march	march	PROPN
fbem-26874	83	30	2021	2021	NUM
fbem-26874	83	31	.	.	PUNCT
fbem-26874	84	1	figure	figure	NOUN
fbem-26874	84	2	1	1	NUM
fbem-26874	84	3	.	.	PUNCT
fbem-26874	85	1	original	original	ADJ
fbem-26874	85	2	data	datum	NOUN
fbem-26874	85	3	stability	stability	NOUN
fbem-26874	85	4	analysis	analysis	NOUN
fbem-26874	85	5	was	be	AUX
fbem-26874	85	6	conducted	conduct	VERB
fbem-26874	85	7	on	on	ADP
fbem-26874	85	8	the	the	DET
fbem-26874	85	9	data	datum	NOUN
fbem-26874	85	10	.	.	PUNCT
fbem-26874	86	1	as	as	SCONJ
fbem-26874	86	2	shown	show	VERB
fbem-26874	86	3	in	in	ADP
fbem-26874	86	4	figure	figure	NOUN
fbem-26874	86	5	2	2	NUM
fbem-26874	86	6	,	,	PUNCT
fbem-26874	86	7	the	the	DET
fbem-26874	86	8	sequence	sequence	NOUN
fbem-26874	86	9	fluctuated	fluctuate	VERB
fbem-26874	86	10	randomly	randomly	ADV
fbem-26874	86	11	around	around	ADV
fbem-26874	86	12	0	0	NUM
fbem-26874	86	13	,	,	PUNCT
fbem-26874	86	14	with	with	ADP
fbem-26874	86	15	stable	stable	ADJ
fbem-26874	86	16	fluctuations	fluctuation	NOUN
fbem-26874	86	17	and	and	CCONJ
fbem-26874	86	18	no	no	DET
fbem-26874	86	19	obvious	obvious	ADJ
fbem-26874	86	20	trend	trend	NOUN
fbem-26874	86	21	changes	change	NOUN
fbem-26874	86	22	.	.	PUNCT
fbem-26874	87	1	the	the	DET
fbem-26874	87	2	data	data	NOUN
fbem-26874	87	3	is	be	AUX
fbem-26874	87	4	a	a	DET
fbem-26874	87	5	stationary	stationary	ADJ
fbem-26874	87	6	time	time	NOUN
fbem-26874	87	7	series	series	NOUN
fbem-26874	87	8	.	.	PUNCT
fbem-26874	88	1	figure	figure	NOUN
fbem-26874	88	2	2	2	NUM
fbem-26874	88	3	.	.	PUNCT
fbem-26874	88	4	stability	stability	NOUN
fbem-26874	88	5	analysis	analysis	NOUN
fbem-26874	88	6	figure	figure	NOUN
fbem-26874	88	7	3	3	NUM
fbem-26874	88	8	.	.	NOUN
fbem-26874	88	9	autocorrelation	autocorrelation	NOUN
fbem-26874	88	10	coefficient	coefficient	NOUN
fbem-26874	88	11	figure	figure	NOUN
fbem-26874	88	12	4	4	NUM
fbem-26874	88	13	.	.	PUNCT
fbem-26874	88	14	partial	partial	ADJ
fbem-26874	88	15	autocorrelation	autocorrelation	NOUN
fbem-26874	88	16	coefficient	coefficient	NOUN
fbem-26874	88	17	draw	draw	VERB
fbem-26874	88	18	autocorrelation	autocorrelation	NOUN
fbem-26874	88	19	and	and	CCONJ
fbem-26874	88	20	partial	partial	ADJ
fbem-26874	88	21	autocorrelation	autocorrelation	NOUN
fbem-26874	88	22	graphs	graph	NOUN
fbem-26874	88	23	.	.	PUNCT
fbem-26874	89	1	from	from	ADP
fbem-26874	89	2	figures	figure	NOUN
fbem-26874	89	3	4	4	NUM
fbem-26874	89	4	and	and	CCONJ
fbem-26874	89	5	5	5	NUM
fbem-26874	89	6	,	,	PUNCT
fbem-26874	89	7	it	it	PRON
fbem-26874	89	8	can	can	AUX
fbem-26874	89	9	be	be	AUX
fbem-26874	89	10	seen	see	VERB
fbem-26874	89	11	that	that	SCONJ
fbem-26874	89	12	the	the	DET
fbem-26874	89	13	1st	1st	ADJ
fbem-26874	89	14	and	and	CCONJ
fbem-26874	89	15	2nd	2nd	ADJ
fbem-26874	89	16	order	order	NOUN
fbem-26874	89	17	partial	partial	ADJ
fbem-26874	89	18	autocorrelation	autocorrelation	NOUN
fbem-26874	89	19	coefficients	coefficient	NOUN
fbem-26874	89	20	of	of	ADP
fbem-26874	89	21	the	the	DET
fbem-26874	89	22	pac	pac	PROPN
fbem-26874	89	23	sequence	sequence	NOUN
fbem-26874	89	24	exceed	exceed	VERB
fbem-26874	89	25	±	±	NUM
fbem-26874	89	26	2	2	NUM
fbem-26874	89	27	times	time	NOUN
fbem-26874	89	28	the	the	DET
fbem-26874	89	29	estimated	estimate	VERB
fbem-26874	89	30	standard	standard	ADJ
fbem-26874	89	31	deviation	deviation	NOUN
fbem-26874	89	32	.	.	PUNCT
fbem-26874	90	1	after	after	ADP
fbem-26874	90	2	the	the	DET
fbem-26874	90	3	2nd	2nd	ADJ
fbem-26874	90	4	order	order	NOUN
fbem-26874	90	5	,	,	PUNCT
fbem-26874	90	6	the	the	DET
fbem-26874	90	7	partial	partial	ADJ
fbem-26874	90	8	autocorrelation	autocorrelation	NOUN
fbem-26874	90	9	coefficient	coefficient	NOUN
fbem-26874	90	10	is	be	AUX
fbem-26874	90	11	within	within	ADP
fbem-26874	90	12	±	±	NUM
fbem-26874	90	13	2	2	NUM
fbem-26874	90	14	times	time	NOUN
fbem-26874	90	15	the	the	DET
fbem-26874	90	16	estimated	estimate	VERB
fbem-26874	90	17	standard	standard	ADJ
fbem-26874	90	18	deviation	deviation	NOUN
fbem-26874	90	19	and	and	CCONJ
fbem-26874	90	20	rapidly	rapidly	ADV
fbem-26874	90	21	decreases	decrease	VERB
fbem-26874	90	22	to	to	ADP
fbem-26874	90	23	0	0	NUM
fbem-26874	90	24	,	,	PUNCT
fbem-26874	90	25	indicating	indicate	VERB
fbem-26874	90	26	that	that	SCONJ
fbem-26874	90	27	the	the	DET
fbem-26874	90	28	partial	partial	ADJ
fbem-26874	90	29	autocorrelation	autocorrelation	NOUN
fbem-26874	90	30	function	function	NOUN
fbem-26874	90	31	is	be	AUX
fbem-26874	90	32	truncated	truncate	VERB
fbem-26874	90	33	after	after	ADP
fbem-26874	90	34	the	the	DET
fbem-26874	90	35	2nd	2nd	ADJ
fbem-26874	90	36	order	order	NOUN
fbem-26874	90	37	;	;	PUNCT
fbem-26874	90	38	similarly	similarly	ADV
fbem-26874	90	39	,	,	PUNCT
fbem-26874	90	40	if	if	SCONJ
fbem-26874	90	41	the	the	DET
fbem-26874	90	42	correlation	correlation	NOUN
fbem-26874	90	43	coefficient	coefficient	NOUN
fbem-26874	90	44	of	of	ADP
fbem-26874	90	45	the	the	DET
fbem-26874	90	46	pac	pac	PROPN
fbem-26874	90	47	sequence	sequence	NOUN
fbem-26874	90	48	exceeds	exceed	VERB
fbem-26874	90	49	5	5	NUM
fbem-26874	90	50	%	%	NOUN
fbem-26874	90	51	and	and	CCONJ
fbem-26874	90	52	falls	fall	VERB
fbem-26874	90	53	outside	outside	ADP
fbem-26874	90	54	±	±	NUM
fbem-26874	90	55	2	2	NUM
fbem-26874	90	56	times	time	NOUN
fbem-26874	90	57	the	the	DET
fbem-26874	90	58	estimated	estimate	VERB
fbem-26874	90	59	standard	standard	ADJ
fbem-26874	90	60	deviation	deviation	NOUN
fbem-26874	90	61	,	,	PUNCT
fbem-26874	90	62	that	that	ADV
fbem-26874	90	63	is	is	ADV
fbem-26874	90	64	,	,	PUNCT
fbem-26874	90	65	the	the	DET
fbem-26874	90	66	autocorrelation	autocorrelation	NOUN
fbem-26874	90	67	function	function	NOUN
fbem-26874	90	68	is	be	AUX
fbem-26874	90	69	rounded	round	VERB
fbem-26874	90	70	off	off	ADP
fbem-26874	90	71	,	,	PUNCT
fbem-26874	90	72	and	and	CCONJ
fbem-26874	90	73	combined	combine	VERB
fbem-26874	90	74	with	with	ADP
fbem-26874	90	75	the	the	DET
fbem-26874	90	76	table	table	NOUN
fbem-26874	90	77	,	,	PUNCT
fbem-26874	90	78	it	it	PRON
fbem-26874	90	79	can	can	AUX
fbem-26874	90	80	be	be	AUX
fbem-26874	90	81	preliminarily	preliminarily	ADV
fbem-26874	90	82	determined	determine	VERB
fbem-26874	90	83	that	that	SCONJ
fbem-26874	90	84	p=1	p=1	PROPN
fbem-26874	90	85	or	or	CCONJ
fbem-26874	90	86	2	2	NUM
fbem-26874	90	87	and	and	CCONJ
fbem-26874	90	88	q=0	q=0	NOUN
fbem-26874	90	89	.	.	PUNCT
fbem-26874	91	1	using	use	VERB
fbem-26874	91	2	the	the	DET
fbem-26874	91	3	aic	aic	PROPN
fbem-26874	91	4	criterion	criterion	NOUN
fbem-26874	91	5	to	to	PART
fbem-26874	91	6	traverse	traverse	VERB
fbem-26874	91	7	the	the	DET
fbem-26874	91	8	minimum	minimum	NOUN
fbem-26874	91	9	aic	aic	PROPN
fbem-26874	91	10	value	value	NOUN
fbem-26874	91	11	yields	yield	NOUN
fbem-26874	91	12	p=7	p=7	PUNCT
fbem-26874	91	13	and	and	CCONJ
fbem-26874	91	14	q=5	q=5	PRON
fbem-26874	91	15	.	.	PUNCT
fbem-26874	92	1	233	233	NUM
fbem-26874	92	2	figure	figure	NOUN
fbem-26874	92	3	5	5	NUM
fbem-26874	92	4	.	.	PUNCT
fbem-26874	92	5	predicted	predict	VERB
fbem-26874	92	6	and	and	CCONJ
fbem-26874	92	7	original	original	ADJ
fbem-26874	92	8	values	value	NOUN
fbem-26874	92	9	figure	figure	VERB
fbem-26874	92	10	6	6	NUM
fbem-26874	92	11	.	.	PUNCT
fbem-26874	92	12	prediction	prediction	NOUN
fbem-26874	92	13	finally	finally	ADV
fbem-26874	92	14	,	,	PUNCT
fbem-26874	92	15	the	the	DET
fbem-26874	92	16	predicted	predict	VERB
fbem-26874	92	17	data	data	NOUN
fbem-26874	92	18	output	output	NOUN
fbem-26874	92	19	by	by	ADP
fbem-26874	92	20	matlab	matlab	PROPN
fbem-26874	92	21	is	be	AUX
fbem-26874	92	22	shown	show	VERB
fbem-26874	92	23	below	below	ADP
fbem-26874	92	24	:	:	PUNCT
fbem-26874	92	25	figure	figure	VERB
fbem-26874	92	26	7	7	NUM
fbem-26874	93	1	.	.	PUNCT
fbem-26874	93	2	predicted	predict	VERB
fbem-26874	93	3	data	datum	NOUN
fbem-26874	93	4	3	3	NUM
fbem-26874	93	5	.	.	PUNCT
fbem-26874	94	1	stock	stock	NOUN
fbem-26874	94	2	data	data	PROPN
fbem-26874	94	3	prediction	prediction	NOUN
fbem-26874	94	4	model	model	NOUN
fbem-26874	94	5	based	base	VERB
fbem-26874	94	6	on	on	ADP
fbem-26874	94	7	bp	bp	PROPN
fbem-26874	94	8	network	network	PROPN
fbem-26874	94	9	3.1	3.1	NUM
fbem-26874	94	10	.	.	PUNCT
fbem-26874	95	1	algorithm	algorithm	PROPN
fbem-26874	95	2	introduction	introduction	NOUN
fbem-26874	95	3	bp	bp	PROPN
fbem-26874	95	4	(	(	PUNCT
fbem-26874	95	5	back	back	ADJ
fbem-26874	95	6	propagation	propagation	NOUN
fbem-26874	95	7	)	)	PUNCT
fbem-26874	95	8	neural	neural	ADJ
fbem-26874	95	9	network	network	NOUN
fbem-26874	95	10	was	be	AUX
fbem-26874	95	11	proposed	propose	VERB
fbem-26874	95	12	in	in	ADP
fbem-26874	95	13	1986	1986	NUM
fbem-26874	95	14	by	by	ADP
fbem-26874	95	15	a	a	DET
fbem-26874	95	16	team	team	NOUN
fbem-26874	95	17	of	of	ADP
fbem-26874	95	18	scientists	scientist	NOUN
fbem-26874	95	19	led	lead	VERB
fbem-26874	95	20	by	by	ADP
fbem-26874	95	21	rumelhart	rumelhart	NOUN
fbem-26874	95	22	and	and	CCONJ
fbem-26874	95	23	mccolland	mccolland	NOUN
fbem-26874	95	24	.	.	PUNCT
fbem-26874	96	1	it	it	PRON
fbem-26874	96	2	is	be	AUX
fbem-26874	96	3	a	a	DET
fbem-26874	96	4	multi	multi	ADJ
fbem-26874	96	5	-	-	ADJ
fbem-26874	96	6	layer	layer	ADJ
fbem-26874	96	7	feedforward	feedforward	NOUN
fbem-26874	96	8	network	network	NOUN
fbem-26874	96	9	trained	train	VERB
fbem-26874	96	10	using	use	VERB
fbem-26874	96	11	error	error	NOUN
fbem-26874	96	12	backpropagation	backpropagation	NOUN
fbem-26874	96	13	algorithm	algorithm	NOUN
fbem-26874	96	14	.	.	PUNCT
fbem-26874	97	1	bp	bp	PROPN
fbem-26874	97	2	network	network	PROPN
fbem-26874	97	3	can	can	AUX
fbem-26874	97	4	learn	learn	VERB
fbem-26874	97	5	and	and	CCONJ
fbem-26874	97	6	store	store	VERB
fbem-26874	97	7	a	a	DET
fbem-26874	97	8	large	large	ADJ
fbem-26874	97	9	number	number	NOUN
fbem-26874	97	10	of	of	ADP
fbem-26874	97	11	input	input	NOUN
fbem-26874	97	12	-	-	PUNCT
fbem-26874	97	13	output	output	NOUN
fbem-26874	97	14	pattern	pattern	NOUN
fbem-26874	97	15	mapping	mapping	NOUN
fbem-26874	97	16	relationships	relationship	NOUN
fbem-26874	97	17	without	without	ADP
fbem-26874	97	18	revealing	reveal	VERB
fbem-26874	97	19	the	the	DET
fbem-26874	97	20	mathematical	mathematical	ADJ
fbem-26874	97	21	equations	equation	NOUN
fbem-26874	97	22	that	that	PRON
fbem-26874	97	23	describe	describe	VERB
fbem-26874	97	24	these	these	DET
fbem-26874	97	25	mapping	mapping	NOUN
fbem-26874	97	26	relationships	relationship	NOUN
fbem-26874	97	27	in	in	ADP
fbem-26874	97	28	advance	advance	NOUN
fbem-26874	97	29	.	.	PUNCT
fbem-26874	98	1	its	its	PRON
fbem-26874	98	2	learning	learning	NOUN
fbem-26874	98	3	rule	rule	NOUN
fbem-26874	98	4	is	be	AUX
fbem-26874	98	5	to	to	PART
fbem-26874	98	6	use	use	VERB
fbem-26874	98	7	the	the	DET
fbem-26874	98	8	steepest	steep	ADJ
fbem-26874	98	9	descent	descent	NOUN
fbem-26874	98	10	method	method	NOUN
fbem-26874	98	11	to	to	PART
fbem-26874	98	12	continuously	continuously	ADV
fbem-26874	98	13	adjust	adjust	VERB
fbem-26874	98	14	the	the	DET
fbem-26874	98	15	weights	weight	NOUN
fbem-26874	98	16	and	and	CCONJ
fbem-26874	98	17	thresholds	threshold	NOUN
fbem-26874	98	18	of	of	ADP
fbem-26874	98	19	the	the	DET
fbem-26874	98	20	network	network	NOUN
fbem-26874	98	21	through	through	ADP
fbem-26874	98	22	backpropagation	backpropagation	NOUN
fbem-26874	98	23	,	,	PUNCT
fbem-26874	98	24	in	in	ADP
fbem-26874	98	25	order	order	NOUN
fbem-26874	98	26	to	to	PART
fbem-26874	98	27	minimize	minimize	VERB
fbem-26874	98	28	the	the	DET
fbem-26874	98	29	sum	sum	NOUN
fbem-26874	98	30	of	of	ADP
fbem-26874	98	31	squared	square	VERB
fbem-26874	98	32	errors	error	NOUN
fbem-26874	98	33	of	of	ADP
fbem-26874	98	34	the	the	DET
fbem-26874	98	35	network	network	NOUN
fbem-26874	98	36	.	.	PUNCT
fbem-26874	99	1	it	it	PRON
fbem-26874	99	2	is	be	AUX
fbem-26874	99	3	currently	currently	ADV
fbem-26874	99	4	one	one	NUM
fbem-26874	99	5	of	of	ADP
fbem-26874	99	6	the	the	DET
fbem-26874	99	7	most	most	ADV
fbem-26874	99	8	widely	widely	ADV
fbem-26874	99	9	used	use	VERB
fbem-26874	99	10	neural	neural	ADJ
fbem-26874	99	11	network	network	NOUN
fbem-26874	99	12	models	model	NOUN
fbem-26874	99	13	.	.	PUNCT
fbem-26874	100	1	therefore	therefore	ADV
fbem-26874	100	2	,	,	PUNCT
fbem-26874	100	3	understanding	understand	VERB
fbem-26874	100	4	the	the	DET
fbem-26874	100	5	structure	structure	NOUN
fbem-26874	100	6	of	of	ADP
fbem-26874	100	7	bp	bp	PROPN
fbem-26874	100	8	networks	network	NOUN
fbem-26874	100	9	and	and	CCONJ
fbem-26874	100	10	weight	weight	NOUN
fbem-26874	100	11	adjustment	adjustment	NOUN
fbem-26874	100	12	algorithms	algorithm	NOUN
fbem-26874	100	13	plays	play	VERB
fbem-26874	100	14	an	an	DET
fbem-26874	100	15	important	important	ADJ
fbem-26874	100	16	role	role	NOUN
fbem-26874	100	17	in	in	ADP
fbem-26874	100	18	learning	learn	VERB
fbem-26874	100	19	other	other	ADJ
fbem-26874	100	20	neural	neural	ADJ
fbem-26874	100	21	networks	network	NOUN
fbem-26874	100	22	.	.	PUNCT
fbem-26874	101	1	bp	bp	PROPN
fbem-26874	101	2	neural	neural	ADJ
fbem-26874	101	3	network	network	NOUN
fbem-26874	101	4	is	be	AUX
fbem-26874	101	5	mainly	mainly	ADV
fbem-26874	101	6	applied	apply	VERB
fbem-26874	101	7	in	in	ADP
fbem-26874	101	8	the	the	DET
fbem-26874	101	9	following	follow	VERB
fbem-26874	101	10	aspects	aspect	NOUN
fbem-26874	101	11	.	.	PUNCT
fbem-26874	102	1	function	function	NOUN
fbem-26874	102	2	approximation	approximation	NOUN
fbem-26874	102	3	:	:	PUNCT
fbem-26874	102	4	train	train	VERB
fbem-26874	102	5	a	a	DET
fbem-26874	102	6	network	network	NOUN
fbem-26874	102	7	to	to	PART
fbem-26874	102	8	approximate	approximate	VERB
fbem-26874	102	9	a	a	DET
fbem-26874	102	10	function	function	NOUN
fbem-26874	102	11	using	use	VERB
fbem-26874	102	12	input	input	NOUN
fbem-26874	102	13	vectors	vector	NOUN
fbem-26874	102	14	and	and	CCONJ
fbem-26874	102	15	corresponding	correspond	VERB
fbem-26874	102	16	output	output	NOUN
fbem-26874	102	17	vectors	vector	NOUN
fbem-26874	102	18	.	.	PUNCT
fbem-26874	103	1	pattern	pattern	NOUN
fbem-26874	103	2	recognition	recognition	NOUN
fbem-26874	103	3	:	:	PUNCT
fbem-26874	103	4	connect	connect	VERB
fbem-26874	103	5	it	it	PRON
fbem-26874	103	6	to	to	ADP
fbem-26874	103	7	the	the	DET
fbem-26874	103	8	input	input	NOUN
fbem-26874	103	9	vector	vector	NOUN
fbem-26874	103	10	using	use	VERB
fbem-26874	103	11	a	a	DET
fbem-26874	103	12	specific	specific	ADJ
fbem-26874	103	13	output	output	NOUN
fbem-26874	103	14	vector	vector	NOUN
fbem-26874	103	15	.	.	PUNCT
fbem-26874	104	1	classification	classification	NOUN
fbem-26874	104	2	:	:	PUNCT
fbem-26874	104	3	classify	classify	VERB
fbem-26874	104	4	the	the	DET
fbem-26874	104	5	appropriate	appropriate	ADJ
fbem-26874	104	6	way	way	NOUN
fbem-26874	104	7	defined	define	VERB
fbem-26874	104	8	by	by	ADP
fbem-26874	104	9	the	the	DET
fbem-26874	104	10	input	input	NOUN
fbem-26874	104	11	vector	vector	NOUN
fbem-26874	104	12	.	.	PUNCT
fbem-26874	105	1	data	datum	NOUN
fbem-26874	105	2	compression	compression	PROPN
fbem-26874	105	3	:	:	PUNCT
fbem-26874	105	4	reduce	reduce	VERB
fbem-26874	105	5	the	the	DET
fbem-26874	105	6	dimensionality	dimensionality	NOUN
fbem-26874	105	7	of	of	ADP
fbem-26874	105	8	output	output	NOUN
fbem-26874	105	9	vectors	vector	NOUN
fbem-26874	105	10	for	for	ADP
fbem-26874	105	11	transmission	transmission	NOUN
fbem-26874	105	12	or	or	CCONJ
fbem-26874	105	13	storage	storage	NOUN
fbem-26874	105	14	.	.	PUNCT
fbem-26874	106	1	3.2	3.2	NUM
fbem-26874	106	2	.	.	PUNCT
fbem-26874	106	3	specific	specific	ADJ
fbem-26874	106	4	steps	step	NOUN
fbem-26874	106	5	of	of	ADP
fbem-26874	106	6	bp	bp	PROPN
fbem-26874	106	7	neural	neural	ADJ
fbem-26874	106	8	network	network	PROPN
fbem-26874	106	9	3.2.1	3.2.1	NUM
fbem-26874	106	10	.	.	PUNCT
fbem-26874	107	1	determination	determination	NOUN
fbem-26874	107	2	of	of	ADP
fbem-26874	107	3	network	network	NOUN
fbem-26874	107	4	layers	layer	NOUN
fbem-26874	107	5	and	and	CCONJ
fbem-26874	107	6	ann	ann	PROPN
fbem-26874	107	7	input	input	NOUN
fbem-26874	107	8	nodes	nod	VERB
fbem-26874	107	9	this	this	DET
fbem-26874	107	10	article	article	NOUN
fbem-26874	107	11	adopts	adopt	VERB
fbem-26874	107	12	a	a	DET
fbem-26874	107	13	three	three	NUM
fbem-26874	107	14	-	-	PUNCT
fbem-26874	107	15	layer	layer	NOUN
fbem-26874	107	16	network	network	NOUN
fbem-26874	107	17	model	model	NOUN
fbem-26874	107	18	.	.	PUNCT
fbem-26874	108	1	the	the	DET
fbem-26874	108	2	input	input	NOUN
fbem-26874	108	3	layer	layer	NOUN
fbem-26874	108	4	serves	serve	VERB
fbem-26874	108	5	as	as	ADP
fbem-26874	108	6	a	a	DET
fbem-26874	108	7	buffer	buffer	NOUN
fbem-26874	108	8	memory	memory	NOUN
fbem-26874	108	9	,	,	PUNCT
fbem-26874	108	10	accepting	accept	VERB
fbem-26874	108	11	external	external	ADJ
fbem-26874	108	12	input	input	NOUN
fbem-26874	108	13	data	datum	NOUN
fbem-26874	108	14	,	,	PUNCT
fbem-26874	108	15	so	so	CCONJ
fbem-26874	108	16	the	the	DET
fbem-26874	108	17	number	number	NOUN
fbem-26874	108	18	of	of	ADP
fbem-26874	108	19	nodes	node	NOUN
fbem-26874	108	20	depends	depend	VERB
fbem-26874	108	21	on	on	ADP
fbem-26874	108	22	the	the	DET
fbem-26874	108	23	dimensionality	dimensionality	NOUN
fbem-26874	108	24	of	of	ADP
fbem-26874	108	25	the	the	DET
fbem-26874	108	26	input	input	NOUN
fbem-26874	108	27	vector	vector	NOUN
fbem-26874	108	28	.	.	PUNCT
fbem-26874	109	1	the	the	DET
fbem-26874	109	2	stock	stock	NOUN
fbem-26874	109	3	price	price	NOUN
fbem-26874	109	4	trend	trend	NOUN
fbem-26874	109	5	follows	follow	VERB
fbem-26874	109	6	a	a	DET
fbem-26874	109	7	wave	wave	NOUN
fbem-26874	109	8	like	like	ADP
fbem-26874	109	9	pattern	pattern	NOUN
fbem-26874	109	10	and	and	CCONJ
fbem-26874	109	11	exhibits	exhibit	VERB
fbem-26874	109	12	periodicity	periodicity	NOUN
fbem-26874	109	13	.	.	PUNCT
fbem-26874	110	1	in	in	ADP
fbem-26874	110	2	technical	technical	ADJ
fbem-26874	110	3	analysis	analysis	NOUN
fbem-26874	110	4	,	,	PUNCT
fbem-26874	110	5	the	the	DET
fbem-26874	110	6	appropriate	appropriate	ADJ
fbem-26874	110	7	choice	choice	NOUN
fbem-26874	110	8	of	of	ADP
fbem-26874	110	9	analysis	analysis	NOUN
fbem-26874	110	10	cycle	cycle	NOUN
fbem-26874	110	11	has	have	VERB
fbem-26874	110	12	a	a	DET
fbem-26874	110	13	direct	direct	ADJ
fbem-26874	110	14	impact	impact	NOUN
fbem-26874	110	15	on	on	ADP
fbem-26874	110	16	the	the	DET
fbem-26874	110	17	prediction	prediction	NOUN
fbem-26874	110	18	results	result	NOUN
fbem-26874	110	19	.	.	PUNCT
fbem-26874	111	1	due	due	ADP
fbem-26874	111	2	to	to	ADP
fbem-26874	111	3	time	time	NOUN
fbem-26874	111	4	,	,	PUNCT
fbem-26874	111	5	task	task	NOUN
fbem-26874	111	6	volume	volume	NOUN
fbem-26874	111	7	,	,	PUNCT
fbem-26874	111	8	and	and	CCONJ
fbem-26874	111	9	ease	ease	NOUN
fbem-26874	111	10	of	of	ADP
fbem-26874	111	11	selection	selection	NOUN
fbem-26874	111	12	,	,	PUNCT
fbem-26874	111	13	we	we	PRON
fbem-26874	111	14	have	have	AUX
fbem-26874	111	15	chosen	choose	VERB
fbem-26874	111	16	1	1	NUM
fbem-26874	111	17	day	day	NOUN
fbem-26874	111	18	,	,	PUNCT
fbem-26874	111	19	which	which	PRON
fbem-26874	111	20	means	mean	VERB
fbem-26874	111	21	date=1	date=1	PROPN
fbem-26874	111	22	.	.	PUNCT
fbem-26874	112	1	3.2.2	3.2.2	NUM
fbem-26874	112	2	.	.	PUNCT
fbem-26874	113	1	data	datum	NOUN
fbem-26874	113	2	preprocessing	preprocesse	VERB
fbem-26874	113	3	data	datum	NOUN
fbem-26874	113	4	preprocessing	preprocessing	NOUN
fbem-26874	113	5	is	be	AUX
fbem-26874	113	6	the	the	DET
fbem-26874	113	7	process	process	NOUN
fbem-26874	113	8	of	of	ADP
fbem-26874	113	9	converting	convert	VERB
fbem-26874	113	10	data	datum	NOUN
fbem-26874	113	11	obtained	obtain	VERB
fbem-26874	113	12	from	from	ADP
fbem-26874	113	13	the	the	DET
fbem-26874	113	14	stock	stock	NOUN
fbem-26874	113	15	market	market	NOUN
fbem-26874	113	16	into	into	ADP
fbem-26874	113	17	input	input	NOUN
fbem-26874	113	18	data	datum	NOUN
fbem-26874	113	19	that	that	PRON
fbem-26874	113	20	can	can	AUX
fbem-26874	113	21	be	be	AUX
fbem-26874	113	22	recognized	recognize	VERB
fbem-26874	113	23	by	by	ADP
fbem-26874	113	24	ann	ann	PROPN
fbem-26874	113	25	.	.	PROPN
fbem-26874	114	1	starting	start	VERB
fbem-26874	114	2	from	from	ADP
fbem-26874	114	3	day	day	NOUN
fbem-26874	114	4	n	n	CCONJ
fbem-26874	114	5	,	,	PUNCT
fbem-26874	114	6	let	let	VERB
fbem-26874	114	7	ann	ann	PROPN
fbem-26874	114	8	predict	predict	VERB
fbem-26874	114	9	the	the	DET
fbem-26874	114	10	rise	rise	NOUN
fbem-26874	114	11	and	and	CCONJ
fbem-26874	114	12	fall	fall	NOUN
fbem-26874	114	13	of	of	ADP
fbem-26874	114	14	stock	stock	NOUN
fbem-26874	114	15	prices	price	NOUN
fbem-26874	114	16	.	.	PUNCT
fbem-26874	115	1	the	the	DET
fbem-26874	115	2	raw	raw	ADJ
fbem-26874	115	3	data	datum	NOUN
fbem-26874	115	4	sequence	sequence	NOUN
fbem-26874	115	5	of	of	ADP
fbem-26874	115	6	the	the	DET
fbem-26874	115	7	most	most	ADV
fbem-26874	115	8	recently	recently	ADV
fbem-26874	115	9	traded	trade	VERB
fbem-26874	115	10	stocks	stocks	NOUN
fbem-26874	115	11			PROPN
fbem-26874	115	12	(	(	PUNCT
fbem-26874	115	13	)	)	PUNCT
fbem-26874	115	14	x	x	SYM
fbem-26874	115	15	t	t	NOUN
fbem-26874	115	16	,	,	PUNCT
fbem-26874	115	17	as	as	ADV
fbem-26874	115	18	well	well	ADV
fbem-26874	115	19	as	as	ADP
fbem-26874	115	20	the	the	DET
fbem-26874	115	21	processed	process	VERB
fbem-26874	115	22	data	data	NOUN
fbem-26874	115	23	sequence	sequence	NOUN
fbem-26874	115	24			PROPN
fbem-26874	115	25			PROPN
fbem-26874	115	26	(	(	PUNCT
fbem-26874	115	27	)	)	PUNCT
fbem-26874	115	28	x	x	SYM
fbem-26874	115	29	t	t	PROPN
fbem-26874	115	30	input	input	NOUN
fbem-26874	115	31	to	to	ADP
fbem-26874	115	32	ann	ann	PROPN
fbem-26874	115	33	,	,	PUNCT
fbem-26874	115	34	should	should	AUX
fbem-26874	115	35	be	be	AUX
fbem-26874	115	36	processed	process	VERB
fbem-26874	115	37	as	as	SCONJ
fbem-26874	115	38	follows	follow	VERB
fbem-26874	115	39	:	:	PUNCT
fbem-26874	115	40	1	1	NUM
fbem-26874	115	41	0	0	NUM
fbem-26874	115	42	!	!	PUNCT
fbem-26874	116	1	(	(	PUNCT
fbem-26874	116	2	1	1	NUM
fbem-26874	116	3	)	)	PUNCT
fbem-26874	116	4	,	,	PUNCT
fbem-26874	116	5	(	(	PUNCT
fbem-26874	116	6	)	)	PUNCT
fbem-26874	116	7	(	(	PUNCT
fbem-26874	116	8	)	)	PUNCT
fbem-26874	116	9	0.5x	0.5x	NUM
fbem-26874	116	10	date	date	NOUN
fbem-26874	117	1	i	i	NOUN
fbem-26874	117	2	x	x	X
fbem-26874	117	3	n	n	PRON
fbem-26874	117	4	date	date	NOUN
fbem-26874	117	5	x	x	SYM
fbem-26874	117	6	t	t	NOUN
fbem-26874	117	7	x	x	X
fbem-26874	117	8	t	t	NOUN
fbem-26874	117	9	x	x	X
fbem-26874	117	10	x	x	PROPN
fbem-26874	118	1			PROPN
fbem-26874	119	1			ADV
fbem-26874	119	2			ADV
fbem-26874	119	3	=	=	INTJ
fbem-26874	119	4	−	−	PROPN
fbem-26874	119	5	=	=	PUNCT
fbem-26874	120	1	−	−	PROPN
fbem-26874	120	2	=	=	PUNCT
fbem-26874	121	1	−	−	PROPN
fbem-26874	122	1	+	+	CCONJ
fbem-26874	122	2	3.2.3	3.2.3	NUM
fbem-26874	122	3	.	.	X
fbem-26874	122	4	number	number	NOUN
fbem-26874	122	5	of	of	ADP
fbem-26874	122	6	nodes	node	NOUN
fbem-26874	122	7	in	in	ADP
fbem-26874	122	8	the	the	DET
fbem-26874	122	9	hidden	hide	VERB
fbem-26874	122	10	layer	layer	NOUN
fbem-26874	122	11	the	the	DET
fbem-26874	122	12	number	number	NOUN
fbem-26874	122	13	of	of	ADP
fbem-26874	122	14	hidden	hide	VERB
fbem-26874	122	15	layer	layer	NOUN
fbem-26874	122	16	nodes	node	NOUN
fbem-26874	122	17	is	be	AUX
fbem-26874	122	18	directly	directly	ADV
fbem-26874	122	19	related	relate	VERB
fbem-26874	122	20	to	to	ADP
fbem-26874	122	21	the	the	DET
fbem-26874	122	22	required	require	VERB
fbem-26874	122	23	number	number	NOUN
fbem-26874	122	24	of	of	ADP
fbem-26874	122	25	input	input	NOUN
fbem-26874	122	26	-	-	PUNCT
fbem-26874	122	27	output	output	NOUN
fbem-26874	122	28	units	unit	NOUN
fbem-26874	122	29	for	for	ADP
fbem-26874	122	30	solving	solve	VERB
fbem-26874	122	31	the	the	DET
fbem-26874	122	32	problem	problem	NOUN
fbem-26874	122	33	.	.	PUNCT
fbem-26874	123	1	for	for	ADP
fbem-26874	123	2	bp	bp	PROPN
fbem-26874	123	3	networks	network	NOUN
fbem-26874	123	4	,	,	PUNCT
fbem-26874	123	5	the	the	DET
fbem-26874	123	6	following	follow	VERB
fbem-26874	123	7	formula	formula	NOUN
fbem-26874	123	8	can	can	AUX
fbem-26874	123	9	be	be	AUX
fbem-26874	123	10	used	use	VERB
fbem-26874	123	11	for	for	ADP
fbem-26874	123	12	design	design	NOUN
fbem-26874	123	13	:	:	PUNCT
fbem-26874	123	14	0i	0i	PROPN
fbem-26874	123	15	n	n	CCONJ
fbem-26874	123	16	n	n	CCONJ
fbem-26874	123	17	n	n	ADV
fbem-26874	123	18	a=	a=	VERB
fbem-26874	124	1	+	+	X
fbem-26874	124	2	+	+	CCONJ
fbem-26874	124	3	in	in	ADP
fbem-26874	124	4	the	the	DET
fbem-26874	124	5	formula	formula	NOUN
fbem-26874	124	6	,	,	PUNCT
fbem-26874	124	7	n	n	PRON
fbem-26874	124	8	represents	represent	VERB
fbem-26874	124	9	the	the	DET
fbem-26874	124	10	number	number	NOUN
fbem-26874	124	11	of	of	ADP
fbem-26874	124	12	hidden	hide	VERB
fbem-26874	124	13	layer	layer	NOUN
fbem-26874	124	14	nodes	node	NOUN
fbem-26874	124	15	;	;	PUNCT
fbem-26874	124	16	in	in	SCONJ
fbem-26874	124	17	is	be	AUX
fbem-26874	124	18	the	the	DET
fbem-26874	124	19	number	number	NOUN
fbem-26874	124	20	of	of	ADP
fbem-26874	124	21	input	input	NOUN
fbem-26874	124	22	nodes	node	NOUN
fbem-26874	124	23	;	;	PUNCT
fbem-26874	124	24	0n	0n	NUM
fbem-26874	124	25	is	be	AUX
fbem-26874	124	26	the	the	DET
fbem-26874	124	27	number	number	NOUN
fbem-26874	124	28	of	of	ADP
fbem-26874	124	29	output	output	NOUN
fbem-26874	124	30	nodes	node	NOUN
fbem-26874	124	31	;	;	PUNCT
fbem-26874	124	32	a	a	PRON
fbem-26874	124	33	is	be	AUX
fbem-26874	124	34	a	a	DET
fbem-26874	124	35	constant	constant	ADJ
fbem-26874	124	36	between	between	ADP
fbem-26874	124	37	1	1	NUM
fbem-26874	124	38	and	and	CCONJ
fbem-26874	124	39	10	10	NUM
fbem-26874	124	40	.	.	X
fbem-26874	124	41	3.3	3.3	NUM
fbem-26874	124	42	.	.	PUNCT
fbem-26874	125	1	output	output	NOUN
fbem-26874	125	2	node	node	PROPN
fbem-26874	125	3	definition	definition	NOUN
fbem-26874	125	4	the	the	DET
fbem-26874	125	5	output	output	NOUN
fbem-26874	125	6	node	node	ADJ
fbem-26874	125	7	number	number	NOUN
fbem-26874	125	8	of	of	ADP
fbem-26874	125	9	the	the	DET
fbem-26874	125	10	artificial	artificial	ADJ
fbem-26874	125	11	neural	neural	ADJ
fbem-26874	125	12	network	network	NOUN
fbem-26874	125	13	is	be	AUX
fbem-26874	125	14	1	1	NUM
fbem-26874	125	15	,	,	PUNCT
fbem-26874	125	16	and	and	CCONJ
fbem-26874	125	17	the	the	DET
fbem-26874	125	18	threshold	threshold	NOUN
fbem-26874	125	19	a=0	a=0	X
fbem-26874	125	20	for	for	ADP
fbem-26874	125	21	the	the	DET
fbem-26874	125	22	trend	trend	NOUN
fbem-26874	125	23	of	of	ADP
fbem-26874	125	24	stock	stock	NOUN
fbem-26874	125	25	price	price	NOUN
fbem-26874	125	26	changes	change	NOUN
fbem-26874	125	27	is	be	AUX
fbem-26874	125	28	selected	select	VERB
fbem-26874	125	29	as	as	ADP
fbem-26874	125	30	the	the	DET
fbem-26874	125	31	average	average	ADJ
fbem-26874	125	32	value	value	NOUN
fbem-26874	125	33	of	of	ADP
fbem-26874	125	34	the	the	DET
fbem-26874	125	35	rise	rise	NOUN
fbem-26874	125	36	and	and	CCONJ
fbem-26874	125	37	fall	fall	VERB
fbem-26874	125	38	over	over	ADP
fbem-26874	125	39	a	a	DET
fbem-26874	125	40	certain	certain	ADJ
fbem-26874	125	41	period	period	NOUN
fbem-26874	125	42	of	of	ADP
fbem-26874	125	43	time	time	NOUN
fbem-26874	125	44	;	;	PUNCT
fbem-26874	125	45	prediction	prediction	NOUN
fbem-26874	125	46	step	step	NOUN
fbem-26874	125	47	size	size	NOUN
fbem-26874	125	48	k=1	k=1	PROPN
fbem-26874	125	49	.	.	PUNCT
fbem-26874	126	1	the	the	DET
fbem-26874	126	2	output	output	NOUN
fbem-26874	126	3	node	node	PROPN
fbem-26874	126	4	y	y	PROPN
fbem-26874	126	5	(	(	PUNCT
fbem-26874	126	6	t	t	PROPN
fbem-26874	126	7	)	)	PUNCT
fbem-26874	126	8	can	can	AUX
fbem-26874	126	9	be	be	AUX
fbem-26874	126	10	defined	define	VERB
fbem-26874	126	11	as	as	SCONJ
fbem-26874	126	12	follows	follow	VERB
fbem-26874	126	13	:	:	PUNCT
fbem-26874	126	14	when	when	SCONJ
fbem-26874	126	15	y	y	PROPN
fbem-26874	126	16	(	(	PUNCT
fbem-26874	126	17	t)=0	t)=0	ADV
fbem-26874	126	18	,	,	PUNCT
fbem-26874	126	19	it	it	PRON
fbem-26874	126	20	is	be	AUX
fbem-26874	126	21	predicted	predict	VERB
fbem-26874	126	22	that	that	SCONJ
fbem-26874	126	23	the	the	DET
fbem-26874	126	24	daily	daily	ADJ
fbem-26874	126	25	increase	increase	NOUN
fbem-26874	126	26	or	or	CCONJ
fbem-26874	126	27	decrease	decrease	NOUN
fbem-26874	126	28	of	of	ADP
fbem-26874	126	29	the	the	DET
fbem-26874	126	30	stock	stock	NOUN
fbem-26874	126	31	price	price	NOUN
fbem-26874	126	32	starting	start	VERB
fbem-26874	126	33	from	from	ADP
fbem-26874	126	34	t+1	t+1	PROPN
fbem-26874	126	35	will	will	AUX
fbem-26874	126	36	not	not	PART
fbem-26874	126	37	exceed	exceed	VERB
fbem-26874	126	38	a	a	PRON
fbem-26874	126	39	,	,	PUNCT
fbem-26874	126	40	indicating	indicate	VERB
fbem-26874	126	41	that	that	SCONJ
fbem-26874	126	42	it	it	PRON
fbem-26874	126	43	is	be	AUX
fbem-26874	126	44	expected	expect	VERB
fbem-26874	126	45	to	to	PART
fbem-26874	126	46	be	be	AUX
fbem-26874	126	47	in	in	ADP
fbem-26874	126	48	a	a	DET
fbem-26874	126	49	downward	downward	ADJ
fbem-26874	126	50	trend	trend	NOUN
fbem-26874	126	51	;	;	PUNCT
fbem-26874	126	52	234	234	NUM
fbem-26874	126	53	when	when	SCONJ
fbem-26874	126	54	y	y	PROPN
fbem-26874	126	55	(	(	PUNCT
fbem-26874	126	56	t)=1	t)=1	PROPN
fbem-26874	126	57	,	,	PUNCT
fbem-26874	126	58	it	it	PRON
fbem-26874	126	59	is	be	AUX
fbem-26874	126	60	expected	expect	VERB
fbem-26874	126	61	that	that	SCONJ
fbem-26874	126	62	the	the	DET
fbem-26874	126	63	stock	stock	NOUN
fbem-26874	126	64	price	price	NOUN
fbem-26874	126	65	will	will	AUX
fbem-26874	126	66	be	be	AUX
fbem-26874	126	67	on	on	ADP
fbem-26874	126	68	an	an	DET
fbem-26874	126	69	upward	upward	ADJ
fbem-26874	126	70	trend	trend	NOUN
fbem-26874	126	71	in	in	ADP
fbem-26874	126	72	the	the	DET
fbem-26874	126	73	single	single	ADJ
fbem-26874	126	74	day	day	NOUN
fbem-26874	126	75	starting	start	VERB
fbem-26874	126	76	from	from	ADP
fbem-26874	126	77	t+1	t+1	PROPN
fbem-26874	126	78	,	,	PUNCT
fbem-26874	126	79	with	with	ADP
fbem-26874	126	80	a	a	DET
fbem-26874	126	81	cumulative	cumulative	ADJ
fbem-26874	126	82	increase	increase	NOUN
fbem-26874	126	83	exceeding	exceed	VERB
fbem-26874	126	84	a.	a.	NOUN
fbem-26874	126	85	3.4	3.4	NUM
fbem-26874	126	86	.	.	PUNCT
fbem-26874	127	1	determination	determination	NOUN
fbem-26874	127	2	of	of	ADP
fbem-26874	127	3	other	other	ADJ
fbem-26874	127	4	network	network	NOUN
fbem-26874	127	5	parameters	parameter	NOUN
fbem-26874	127	6	the	the	DET
fbem-26874	127	7	number	number	NOUN
fbem-26874	127	8	of	of	ADP
fbem-26874	127	9	hidden	hide	VERB
fbem-26874	127	10	layer	layer	NOUN
fbem-26874	127	11	nodes	node	NOUN
fbem-26874	127	12	is	be	AUX
fbem-26874	127	13	set	set	VERB
fbem-26874	127	14	to	to	ADP
fbem-26874	127	15	6	6	NUM
fbem-26874	127	16	,	,	PUNCT
fbem-26874	127	17	and	and	CCONJ
fbem-26874	127	18	the	the	DET
fbem-26874	127	19	node	node	ADJ
fbem-26874	127	20	action	action	NOUN
fbem-26874	127	21	function	function	NOUN
fbem-26874	127	22	is	be	AUX
fbem-26874	127	23	an	an	DET
fbem-26874	127	24	s	s	NOUN
fbem-26874	127	25	function	function	NOUN
fbem-26874	127	26	,	,	PUNCT
fbem-26874	127	27	that	that	ADV
fbem-26874	127	28	is	is	ADV
fbem-26874	127	29	,	,	PUNCT
fbem-26874	127	30	f	f	PROPN
fbem-26874	127	31	(	(	PUNCT
fbem-26874	127	32	s)=11+e	s)=11+e	PROPN
fbem-26874	127	33	-	-	PUNCT
fbem-26874	127	34	s	s	NOUN
fbem-26874	127	35	;	;	PUNCT
fbem-26874	127	36	the	the	DET
fbem-26874	127	37	learning	learning	NOUN
fbem-26874	127	38	coefficient	coefficient	NOUN
fbem-26874	127	39	is	be	AUX
fbem-26874	127	40	0.7	0.7	NUM
fbem-26874	127	41	.	.	PUNCT
fbem-26874	128	1	when	when	SCONJ
fbem-26874	128	2	learning	learn	VERB
fbem-26874	128	3	,	,	PUNCT
fbem-26874	128	4	it	it	PRON
fbem-26874	128	5	is	be	AUX
fbem-26874	128	6	required	require	VERB
fbem-26874	128	7	that	that	SCONJ
fbem-26874	128	8	the	the	DET
fbem-26874	128	9	output	output	NOUN
fbem-26874	128	10	error	error	NOUN
fbem-26874	128	11	d	d	NOUN
fbem-26874	128	12	be	be	AUX
fbem-26874	128	13	≤	≤	NOUN
fbem-26874	128	14	0.1	0.1	NUM
fbem-26874	128	15	.	.	PUNCT
fbem-26874	129	1	when	when	SCONJ
fbem-26874	129	2	predicting	predict	VERB
fbem-26874	129	3	,	,	PUNCT
fbem-26874	129	4	if	if	SCONJ
fbem-26874	129	5	the	the	DET
fbem-26874	129	6	output	output	NOUN
fbem-26874	129	7	of	of	ADP
fbem-26874	129	8	the	the	DET
fbem-26874	129	9	output	output	NOUN
fbem-26874	129	10	layer	layer	NOUN
fbem-26874	129	11	is	be	AUX
fbem-26874	129	12	greater	great	ADJ
fbem-26874	129	13	than	than	ADP
fbem-26874	129	14	0.5	0.5	NUM
fbem-26874	129	15	,	,	PUNCT
fbem-26874	129	16	it	it	PRON
fbem-26874	129	17	is	be	AUX
fbem-26874	129	18	judged	judge	VERB
fbem-26874	129	19	as	as	ADP
fbem-26874	129	20	1	1	NUM
fbem-26874	129	21	;	;	PUNCT
fbem-26874	129	22	less	less	ADJ
fbem-26874	129	23	than	than	ADP
fbem-26874	129	24	or	or	CCONJ
fbem-26874	129	25	equal	equal	ADJ
fbem-26874	129	26	to	to	ADP
fbem-26874	129	27	0.5	0.5	NUM
fbem-26874	129	28	is	be	AUX
fbem-26874	129	29	judged	judge	VERB
fbem-26874	129	30	as	as	ADP
fbem-26874	129	31	0	0	NUM
fbem-26874	129	32	.	.	PUNCT
fbem-26874	130	1	the	the	DET
fbem-26874	130	2	data	datum	NOUN
fbem-26874	130	3	selected	select	VERB
fbem-26874	130	4	for	for	ADP
fbem-26874	130	5	this	this	DET
fbem-26874	130	6	project	project	NOUN
fbem-26874	130	7	is	be	AUX
fbem-26874	130	8	the	the	DET
fbem-26874	130	9	closing	closing	NOUN
fbem-26874	130	10	,	,	PUNCT
fbem-26874	130	11	opening	opening	NOUN
fbem-26874	130	12	,	,	PUNCT
fbem-26874	130	13	and	and	CCONJ
fbem-26874	130	14	price	price	NOUN
fbem-26874	130	15	fluctuations	fluctuation	NOUN
fbem-26874	130	16	of	of	ADP
fbem-26874	130	17	swire	swire	NOUN
fbem-26874	130	18	group	group	PROPN
fbem-26874	130	19	a	a	NOUN
fbem-26874	130	20	from	from	ADP
fbem-26874	130	21	january	january	PROPN
fbem-26874	130	22	3	3	NUM
fbem-26874	130	23	,	,	PUNCT
fbem-26874	130	24	2017	2017	NUM
fbem-26874	130	25	to	to	ADP
fbem-26874	130	26	december	december	PROPN
fbem-26874	130	27	31	31	NUM
fbem-26874	130	28	,	,	PUNCT
fbem-26874	130	29	2019	2019	NUM
fbem-26874	130	30	.	.	PUNCT
fbem-26874	131	1	four	four	NUM
fbem-26874	131	2	sets	set	NOUN
fbem-26874	131	3	of	of	ADP
fbem-26874	131	4	data	datum	NOUN
fbem-26874	131	5	,	,	PUNCT
fbem-26874	131	6	including	include	VERB
fbem-26874	131	7	opening	opening	NOUN
fbem-26874	131	8	,	,	PUNCT
fbem-26874	131	9	highest	high	ADJ
fbem-26874	131	10	,	,	PUNCT
fbem-26874	131	11	lowest	low	ADJ
fbem-26874	131	12	,	,	PUNCT
fbem-26874	131	13	and	and	CCONJ
fbem-26874	131	14	closing	closing	NOUN
fbem-26874	131	15	,	,	PUNCT
fbem-26874	131	16	are	be	AUX
fbem-26874	131	17	selected	select	VERB
fbem-26874	131	18	to	to	PART
fbem-26874	131	19	predict	predict	VERB
fbem-26874	131	20	the	the	DET
fbem-26874	131	21	closing	closing	NOUN
fbem-26874	131	22	data	datum	NOUN
fbem-26874	131	23	of	of	ADP
fbem-26874	131	24	the	the	DET
fbem-26874	131	25	next	next	ADJ
fbem-26874	131	26	day	day	NOUN
fbem-26874	131	27	using	use	VERB
fbem-26874	131	28	the	the	DET
fbem-26874	131	29	five	five	NUM
fbem-26874	131	30	sets	set	NOUN
fbem-26874	131	31	of	of	ADP
fbem-26874	131	32	data	datum	NOUN
fbem-26874	131	33	from	from	ADP
fbem-26874	131	34	that	that	DET
fbem-26874	131	35	day	day	NOUN
fbem-26874	131	36	,	,	PUNCT
fbem-26874	131	37	thus	thus	ADV
fbem-26874	131	38	establishing	establish	VERB
fbem-26874	131	39	an	an	DET
fbem-26874	131	40	equivalent	equivalent	ADJ
fbem-26874	131	41	stock	stock	NOUN
fbem-26874	131	42	data	datum	NOUN
fbem-26874	131	43	prediction	prediction	NOUN
fbem-26874	131	44	model	model	NOUN
fbem-26874	131	45	.	.	PUNCT
fbem-26874	132	1	adopting	adopt	VERB
fbem-26874	132	2	a	a	DET
fbem-26874	132	3	three	three	NUM
fbem-26874	132	4	-	-	PUNCT
fbem-26874	132	5	layer	layer	NOUN
fbem-26874	132	6	bp	bp	PROPN
fbem-26874	132	7	network	network	NOUN
fbem-26874	132	8	structure	structure	NOUN
fbem-26874	132	9	consisting	consist	VERB
fbem-26874	132	10	of	of	ADP
fbem-26874	132	11	an	an	DET
fbem-26874	132	12	input	input	NOUN
fbem-26874	132	13	layer	layer	NOUN
fbem-26874	132	14	,	,	PUNCT
fbem-26874	132	15	a	a	DET
fbem-26874	132	16	hidden	hidden	ADJ
fbem-26874	132	17	layer	layer	NOUN
fbem-26874	132	18	,	,	PUNCT
fbem-26874	132	19	and	and	CCONJ
fbem-26874	132	20	an	an	DET
fbem-26874	132	21	output	output	NOUN
fbem-26874	132	22	layer	layer	NOUN
fbem-26874	132	23	,	,	PUNCT
fbem-26874	132	24	the	the	DET
fbem-26874	132	25	input	input	NOUN
fbem-26874	132	26	layer	layer	NOUN
fbem-26874	132	27	contains	contain	VERB
fbem-26874	132	28	four	four	NUM
fbem-26874	132	29	neurons	neuron	NOUN
fbem-26874	132	30	,	,	PUNCT
fbem-26874	132	31	the	the	DET
fbem-26874	132	32	hidden	hide	VERB
fbem-26874	132	33	layer	layer	NOUN
fbem-26874	132	34	contains	contain	VERB
fbem-26874	132	35	three	three	NUM
fbem-26874	132	36	neurons	neuron	NOUN
fbem-26874	132	37	,	,	PUNCT
fbem-26874	132	38	and	and	CCONJ
fbem-26874	132	39	the	the	DET
fbem-26874	132	40	output	output	NOUN
fbem-26874	132	41	layer	layer	NOUN
fbem-26874	132	42	is	be	AUX
fbem-26874	132	43	one	one	NUM
fbem-26874	132	44	neuron	neuron	NOUN
fbem-26874	132	45	.	.	PUNCT
fbem-26874	133	1	among	among	ADP
fbem-26874	133	2	them	they	PRON
fbem-26874	133	3	,	,	PUNCT
fbem-26874	133	4	the	the	DET
fbem-26874	133	5	activation	activation	NOUN
fbem-26874	133	6	function	function	NOUN
fbem-26874	133	7	of	of	ADP
fbem-26874	133	8	the	the	DET
fbem-26874	133	9	hidden	hide	VERB
fbem-26874	133	10	layer	layer	NOUN
fbem-26874	133	11	neurons	neuron	NOUN
fbem-26874	133	12	adopts	adopt	VERB
fbem-26874	133	13	an	an	DET
fbem-26874	133	14	asymmetric	asymmetric	ADJ
fbem-26874	133	15	sigmoid	sigmoid	NOUN
fbem-26874	133	16	function	function	NOUN
fbem-26874	133	17	,	,	PUNCT
fbem-26874	133	18	and	and	CCONJ
fbem-26874	133	19	the	the	DET
fbem-26874	133	20	function	function	NOUN
fbem-26874	133	21	expression	expression	NOUN
fbem-26874	133	22	is	be	AUX
fbem-26874	133	23	:	:	PUNCT
fbem-26874	133	24	.	.	PUNCT
fbem-26874	134	1	the	the	DET
fbem-26874	134	2	activation	activation	NOUN
fbem-26874	134	3	function	function	NOUN
fbem-26874	134	4	of	of	ADP
fbem-26874	134	5	the	the	DET
fbem-26874	134	6	output	output	NOUN
fbem-26874	134	7	layer	layer	NOUN
fbem-26874	134	8	neurons	neuron	NOUN
fbem-26874	134	9	adopts	adopt	VERB
fbem-26874	134	10	a	a	DET
fbem-26874	134	11	linear	linear	ADJ
fbem-26874	134	12	function	function	NOUN
fbem-26874	134	13	.	.	PUNCT
fbem-26874	135	1	the	the	DET
fbem-26874	135	2	738	738	NUM
fbem-26874	135	3	sets	set	NOUN
fbem-26874	135	4	of	of	ADP
fbem-26874	135	5	data	datum	NOUN
fbem-26874	135	6	are	be	AUX
fbem-26874	135	7	divided	divide	VERB
fbem-26874	135	8	into	into	ADP
fbem-26874	135	9	three	three	NUM
fbem-26874	135	10	equal	equal	ADJ
fbem-26874	135	11	parts	part	NOUN
fbem-26874	135	12	,	,	PUNCT
fbem-26874	135	13	of	of	ADP
fbem-26874	135	14	which	which	PRON
fbem-26874	135	15	two	two	NUM
fbem-26874	135	16	parts	part	NOUN
fbem-26874	135	17	are	be	AUX
fbem-26874	135	18	used	use	VERB
fbem-26874	135	19	as	as	ADP
fbem-26874	135	20	training	training	NOUN
fbem-26874	135	21	samples	sample	NOUN
fbem-26874	135	22	to	to	PART
fbem-26874	135	23	train	train	VERB
fbem-26874	135	24	and	and	CCONJ
fbem-26874	135	25	learn	learn	VERB
fbem-26874	135	26	the	the	DET
fbem-26874	135	27	network	network	NOUN
fbem-26874	135	28	;	;	PUNCT
fbem-26874	135	29	another	another	DET
fbem-26874	135	30	sample	sample	NOUN
fbem-26874	135	31	is	be	AUX
fbem-26874	135	32	used	use	VERB
fbem-26874	135	33	as	as	ADP
fbem-26874	135	34	a	a	DET
fbem-26874	135	35	test	test	NOUN
fbem-26874	135	36	to	to	PART
fbem-26874	135	37	evaluate	evaluate	VERB
fbem-26874	135	38	the	the	DET
fbem-26874	135	39	generalization	generalization	NOUN
fbem-26874	135	40	ability	ability	NOUN
fbem-26874	135	41	of	of	ADP
fbem-26874	135	42	the	the	DET
fbem-26874	135	43	trained	train	VERB
fbem-26874	135	44	network	network	NOUN
fbem-26874	135	45	.	.	PUNCT
fbem-26874	136	1	the	the	DET
fbem-26874	136	2	bp	bp	PROPN
fbem-26874	136	3	algorithm	algorithm	PROPN
fbem-26874	136	4	is	be	AUX
fbem-26874	136	5	used	use	VERB
fbem-26874	136	6	to	to	PART
fbem-26874	136	7	modify	modify	VERB
fbem-26874	136	8	the	the	DET
fbem-26874	136	9	weights	weight	NOUN
fbem-26874	136	10	of	of	ADP
fbem-26874	136	11	the	the	DET
fbem-26874	136	12	hidden	hide	VERB
fbem-26874	136	13	layer	layer	NOUN
fbem-26874	136	14	and	and	CCONJ
fbem-26874	136	15	output	output	NOUN
fbem-26874	136	16	layer	layer	NOUN
fbem-26874	136	17	,	,	PUNCT
fbem-26874	136	18	in	in	ADP
fbem-26874	136	19	order	order	NOUN
fbem-26874	136	20	to	to	PART
fbem-26874	136	21	minimize	minimize	VERB
fbem-26874	136	22	the	the	DET
fbem-26874	136	23	difference	difference	NOUN
fbem-26874	136	24	between	between	ADP
fbem-26874	136	25	the	the	DET
fbem-26874	136	26	calculated	calculated	ADJ
fbem-26874	136	27	output	output	NOUN
fbem-26874	136	28	and	and	CCONJ
fbem-26874	136	29	the	the	DET
fbem-26874	136	30	actual	actual	ADJ
fbem-26874	136	31	sample	sample	NOUN
fbem-26874	136	32	output	output	NOUN
fbem-26874	136	33	,	,	PUNCT
fbem-26874	136	34	and	and	CCONJ
fbem-26874	136	35	ultimately	ultimately	ADV
fbem-26874	136	36	achieve	achieve	VERB
fbem-26874	136	37	more	more	ADV
fbem-26874	136	38	accurate	accurate	ADJ
fbem-26874	136	39	prediction	prediction	NOUN
fbem-26874	136	40	.	.	PUNCT
fbem-26874	137	1	results	result	NOUN
fbem-26874	137	2	and	and	CCONJ
fbem-26874	137	3	analysis	analysis	NOUN
fbem-26874	137	4	figure	figure	NOUN
fbem-26874	137	5	8	8	NUM
fbem-26874	137	6	shows	show	VERB
fbem-26874	137	7	the	the	DET
fbem-26874	137	8	display	display	NOUN
fbem-26874	137	9	content	content	NOUN
fbem-26874	137	10	of	of	ADP
fbem-26874	137	11	the	the	DET
fbem-26874	137	12	matlab	matlab	PROPN
fbem-26874	137	13	command	command	NOUN
fbem-26874	137	14	window	window	NOUN
fbem-26874	137	15	,	,	PUNCT
fbem-26874	137	16	figure	figure	NOUN
fbem-26874	137	17	9	9	NUM
fbem-26874	137	18	shows	show	VERB
fbem-26874	137	19	the	the	DET
fbem-26874	137	20	error	error	NOUN
fbem-26874	137	21	curve	curve	NOUN
fbem-26874	137	22	of	of	ADP
fbem-26874	137	23	the	the	DET
fbem-26874	137	24	training	training	NOUN
fbem-26874	137	25	sample	sample	NOUN
fbem-26874	137	26	set	set	NOUN
fbem-26874	137	27	,	,	PUNCT
fbem-26874	137	28	figure	figure	NOUN
fbem-26874	137	29	10	10	NUM
fbem-26874	137	30	shows	show	VERB
fbem-26874	137	31	the	the	DET
fbem-26874	137	32	comparison	comparison	NOUN
fbem-26874	137	33	between	between	ADP
fbem-26874	137	34	the	the	DET
fbem-26874	137	35	calculated	calculated	ADJ
fbem-26874	137	36	and	and	CCONJ
fbem-26874	137	37	actual	actual	ADJ
fbem-26874	137	38	outputs	output	NOUN
fbem-26874	137	39	of	of	ADP
fbem-26874	137	40	the	the	DET
fbem-26874	137	41	training	training	NOUN
fbem-26874	137	42	sample	sample	NOUN
fbem-26874	137	43	set	set	NOUN
fbem-26874	137	44	,	,	PUNCT
fbem-26874	137	45	and	and	CCONJ
fbem-26874	137	46	figure	figure	VERB
fbem-26874	137	47	11	11	NUM
fbem-26874	137	48	shows	show	VERB
fbem-26874	137	49	the	the	DET
fbem-26874	137	50	comparison	comparison	NOUN
fbem-26874	137	51	between	between	ADP
fbem-26874	137	52	the	the	DET
fbem-26874	137	53	predicted	predict	VERB
fbem-26874	137	54	and	and	CCONJ
fbem-26874	137	55	actual	actual	ADJ
fbem-26874	137	56	data	datum	NOUN
fbem-26874	137	57	of	of	ADP
fbem-26874	137	58	the	the	DET
fbem-26874	137	59	test	test	NOUN
fbem-26874	137	60	sample	sample	NOUN
fbem-26874	137	61	set	set	NOUN
fbem-26874	137	62	.	.	PUNCT
fbem-26874	138	1	figure	figure	NOUN
fbem-26874	138	2	8	8	NUM
fbem-26874	138	3	.	.	PUNCT
fbem-26874	139	1	matlab	matlab	PROPN
fbem-26874	139	2	command	command	PROPN
fbem-26874	139	3	window	window	PROPN
fbem-26874	139	4	display	display	NOUN
fbem-26874	139	5	content	content	NOUN
fbem-26874	139	6	figure	figure	NOUN
fbem-26874	139	7	9	9	NUM
fbem-26874	139	8	.	.	PUNCT
fbem-26874	139	9	error	error	NOUN
fbem-26874	139	10	curve	curve	NOUN
fbem-26874	139	11	of	of	ADP
fbem-26874	139	12	training	training	NOUN
fbem-26874	139	13	sample	sample	NOUN
fbem-26874	139	14	set	set	VERB
fbem-26874	139	15	figure	figure	NOUN
fbem-26874	139	16	10	10	NUM
fbem-26874	139	17	.	.	PUNCT
fbem-26874	139	18	comparison	comparison	NOUN
fbem-26874	139	19	between	between	ADP
fbem-26874	139	20	calculated	calculated	ADJ
fbem-26874	139	21	output	output	NOUN
fbem-26874	139	22	and	and	CCONJ
fbem-26874	139	23	actual	actual	ADJ
fbem-26874	139	24	output	output	NOUN
fbem-26874	139	25	of	of	ADP
fbem-26874	139	26	training	training	NOUN
fbem-26874	139	27	sample	sample	NOUN
fbem-26874	139	28	set	set	VERB
fbem-26874	139	29	figure	figure	NOUN
fbem-26874	139	30	11	11	NUM
fbem-26874	139	31	.	.	PUNCT
fbem-26874	140	1	comparison	comparison	NOUN
fbem-26874	140	2	between	between	ADP
fbem-26874	140	3	predicted	predict	VERB
fbem-26874	140	4	data	datum	NOUN
fbem-26874	140	5	and	and	CCONJ
fbem-26874	140	6	actual	actual	ADJ
fbem-26874	140	7	data	datum	NOUN
fbem-26874	140	8	in	in	ADP
fbem-26874	140	9	the	the	DET
fbem-26874	140	10	test	test	NOUN
fbem-26874	140	11	sample	sample	NOUN
fbem-26874	140	12	set	set	VERB
fbem-26874	140	13	from	from	ADP
fbem-26874	140	14	figures	figure	NOUN
fbem-26874	140	15	8	8	NUM
fbem-26874	140	16	and	and	CCONJ
fbem-26874	140	17	9	9	NUM
fbem-26874	140	18	,	,	PUNCT
fbem-26874	140	19	it	it	PRON
fbem-26874	140	20	can	can	AUX
fbem-26874	140	21	be	be	AUX
fbem-26874	140	22	seen	see	VERB
fbem-26874	140	23	that	that	SCONJ
fbem-26874	140	24	there	there	PRON
fbem-26874	140	25	is	be	VERB
fbem-26874	140	26	a	a	DET
fbem-26874	140	27	relatively	relatively	ADV
fbem-26874	140	28	large	large	ADJ
fbem-26874	140	29	error	error	NOUN
fbem-26874	140	30	between	between	ADP
fbem-26874	140	31	the	the	DET
fbem-26874	140	32	calculated	calculated	ADJ
fbem-26874	140	33	output	output	NOUN
fbem-26874	140	34	and	and	CCONJ
fbem-26874	140	35	the	the	DET
fbem-26874	140	36	actual	actual	ADJ
fbem-26874	140	37	output	output	NOUN
fbem-26874	140	38	at	at	ADP
fbem-26874	140	39	the	the	DET
fbem-26874	140	40	beginning	beginning	NOUN
fbem-26874	140	41	,	,	PUNCT
fbem-26874	140	42	and	and	CCONJ
fbem-26874	140	43	the	the	DET
fbem-26874	140	44	last	last	ADJ
fbem-26874	140	45	set	set	NOUN
fbem-26874	140	46	of	of	ADP
fbem-26874	140	47	data	datum	NOUN
fbem-26874	140	48	has	have	VERB
fbem-26874	140	49	the	the	DET
fbem-26874	140	50	smallest	small	ADJ
fbem-26874	140	51	error	error	NOUN
fbem-26874	140	52	.	.	PUNCT
fbem-26874	141	1	the	the	DET
fbem-26874	141	2	weight	weight	NOUN
fbem-26874	141	3	matrices	matrix	NOUN
fbem-26874	141	4	of	of	ADP
fbem-26874	141	5	the	the	DET
fbem-26874	141	6	trained	train	VERB
fbem-26874	141	7	network	network	NOUN
fbem-26874	141	8	's	's	PART
fbem-26874	141	9	hidden	hide	VERB
fbem-26874	141	10	layer	layer	NOUN
fbem-26874	141	11	and	and	CCONJ
fbem-26874	141	12	output	output	NOUN
fbem-26874	141	13	layer	layer	NOUN
fbem-26874	141	14	are	be	AUX
fbem-26874	141	15	w1	w1	NOUN
fbem-26874	141	16	and	and	CCONJ
fbem-26874	141	17	w2	w2	NOUN
fbem-26874	141	18	,	,	PUNCT
fbem-26874	141	19	respectively	respectively	ADV
fbem-26874	141	20	.	.	PUNCT
fbem-26874	142	1	after	after	ADP
fbem-26874	142	2	inputting	inputte	VERB
fbem-26874	142	3	the	the	DET
fbem-26874	142	4	test	test	NOUN
fbem-26874	142	5	sample	sample	NOUN
fbem-26874	142	6	set	set	VERB
fbem-26874	142	7	into	into	ADP
fbem-26874	142	8	the	the	DET
fbem-26874	142	9	network	network	NOUN
fbem-26874	142	10	,	,	PUNCT
fbem-26874	142	11	the	the	DET
fbem-26874	142	12	error	error	NOUN
fbem-26874	142	13	is	be	AUX
fbem-26874	142	14	2.2473	2.2473	NUM
fbem-26874	142	15	,	,	PUNCT
fbem-26874	142	16	which	which	PRON
fbem-26874	142	17	is	be	AUX
fbem-26874	142	18	slightly	slightly	ADV
fbem-26874	142	19	larger	large	ADJ
fbem-26874	142	20	than	than	ADP
fbem-26874	142	21	the	the	DET
fbem-26874	142	22	error	error	NOUN
fbem-26874	142	23	of	of	ADP
fbem-26874	142	24	the	the	DET
fbem-26874	142	25	training	training	NOUN
fbem-26874	142	26	sample	sample	NOUN
fbem-26874	142	27	set	set	NOUN
fbem-26874	142	28	.	.	PUNCT
fbem-26874	143	1	from	from	ADP
fbem-26874	143	2	figure	figure	NOUN
fbem-26874	143	3	10	10	NUM
fbem-26874	143	4	,	,	PUNCT
fbem-26874	143	5	it	it	PRON
fbem-26874	143	6	can	can	AUX
fbem-26874	143	7	be	be	AUX
fbem-26874	143	8	seen	see	VERB
fbem-26874	143	9	that	that	SCONJ
fbem-26874	143	10	for	for	ADP
fbem-26874	143	11	the	the	DET
fbem-26874	143	12	492	492	NUM
fbem-26874	143	13	sets	set	NOUN
fbem-26874	143	14	of	of	ADP
fbem-26874	143	15	235	235	NUM
fbem-26874	143	16	training	training	NOUN
fbem-26874	143	17	samples	sample	NOUN
fbem-26874	143	18	,	,	PUNCT
fbem-26874	143	19	the	the	DET
fbem-26874	143	20	overall	overall	ADJ
fbem-26874	143	21	fit	fit	NOUN
fbem-26874	143	22	between	between	ADP
fbem-26874	143	23	the	the	DET
fbem-26874	143	24	calculated	calculated	ADJ
fbem-26874	143	25	output	output	NOUN
fbem-26874	143	26	and	and	CCONJ
fbem-26874	143	27	the	the	DET
fbem-26874	143	28	actual	actual	ADJ
fbem-26874	143	29	sample	sample	NOUN
fbem-26874	143	30	output	output	NOUN
fbem-26874	143	31	is	be	AUX
fbem-26874	143	32	relatively	relatively	ADV
fbem-26874	143	33	good	good	ADJ
fbem-26874	143	34	.	.	PUNCT
fbem-26874	144	1	although	although	SCONJ
fbem-26874	144	2	there	there	PRON
fbem-26874	144	3	were	be	VERB
fbem-26874	144	4	several	several	ADJ
fbem-26874	144	5	sets	set	NOUN
fbem-26874	144	6	of	of	ADP
fbem-26874	144	7	data	datum	NOUN
fbem-26874	144	8	with	with	ADP
fbem-26874	144	9	significant	significant	ADJ
fbem-26874	144	10	fluctuations	fluctuation	NOUN
fbem-26874	144	11	in	in	ADP
fbem-26874	144	12	the	the	DET
fbem-26874	144	13	middle	middle	NOUN
fbem-26874	144	14	,	,	PUNCT
fbem-26874	144	15	the	the	DET
fbem-26874	144	16	algorithm	algorithm	NOUN
fbem-26874	144	17	adjusted	adjust	VERB
fbem-26874	144	18	the	the	DET
fbem-26874	144	19	weights	weight	NOUN
fbem-26874	144	20	in	in	ADP
fbem-26874	144	21	a	a	DET
fbem-26874	144	22	timely	timely	ADJ
fbem-26874	144	23	manner	manner	NOUN
fbem-26874	144	24	.	.	PUNCT
fbem-26874	145	1	it	it	PRON
fbem-26874	145	2	can	can	AUX
fbem-26874	145	3	be	be	AUX
fbem-26874	145	4	seen	see	VERB
fbem-26874	145	5	that	that	SCONJ
fbem-26874	145	6	the	the	DET
fbem-26874	145	7	last	last	ADJ
fbem-26874	145	8	few	few	ADJ
fbem-26874	145	9	sets	set	NOUN
fbem-26874	145	10	of	of	ADP
fbem-26874	145	11	sample	sample	NOUN
fbem-26874	145	12	data	datum	NOUN
fbem-26874	145	13	fit	fit	VERB
fbem-26874	145	14	relatively	relatively	ADV
fbem-26874	145	15	well	well	ADV
fbem-26874	145	16	,	,	PUNCT
fbem-26874	145	17	indicating	indicate	VERB
fbem-26874	145	18	that	that	SCONJ
fbem-26874	145	19	the	the	DET
fbem-26874	145	20	error	error	NOUN
fbem-26874	145	21	eventually	eventually	ADV
fbem-26874	145	22	converged	converge	VERB
fbem-26874	145	23	.	.	PUNCT
fbem-26874	146	1	from	from	ADP
fbem-26874	146	2	figure	figure	NOUN
fbem-26874	146	3	11	11	NUM
fbem-26874	146	4	,	,	PUNCT
fbem-26874	146	5	it	it	PRON
fbem-26874	146	6	can	can	AUX
fbem-26874	146	7	be	be	AUX
fbem-26874	146	8	seen	see	VERB
fbem-26874	146	9	that	that	SCONJ
fbem-26874	146	10	the	the	DET
fbem-26874	146	11	error	error	NOUN
fbem-26874	146	12	between	between	ADP
fbem-26874	146	13	the	the	DET
fbem-26874	146	14	calculated	calculated	ADJ
fbem-26874	146	15	output	output	NOUN
fbem-26874	146	16	and	and	CCONJ
fbem-26874	146	17	the	the	DET
fbem-26874	146	18	actual	actual	ADJ
fbem-26874	146	19	sample	sample	NOUN
fbem-26874	146	20	output	output	NOUN
fbem-26874	146	21	obtained	obtain	VERB
fbem-26874	146	22	from	from	ADP
fbem-26874	146	23	246	246	NUM
fbem-26874	146	24	sets	set	NOUN
fbem-26874	146	25	of	of	ADP
fbem-26874	146	26	test	test	NOUN
fbem-26874	146	27	samples	sample	NOUN
fbem-26874	146	28	is	be	AUX
fbem-26874	146	29	larger	large	ADJ
fbem-26874	146	30	than	than	ADP
fbem-26874	146	31	that	that	PRON
fbem-26874	146	32	of	of	ADP
fbem-26874	146	33	the	the	DET
fbem-26874	146	34	training	training	NOUN
fbem-26874	146	35	sample	sample	NOUN
fbem-26874	146	36	set	set	NOUN
fbem-26874	146	37	,	,	PUNCT
fbem-26874	146	38	indicating	indicate	VERB
fbem-26874	146	39	that	that	SCONJ
fbem-26874	146	40	the	the	DET
fbem-26874	146	41	designed	design	VERB
fbem-26874	146	42	network	network	NOUN
fbem-26874	146	43	has	have	VERB
fbem-26874	146	44	poor	poor	ADJ
fbem-26874	146	45	generalization	generalization	NOUN
fbem-26874	146	46	ability	ability	NOUN
fbem-26874	146	47	.	.	PUNCT
fbem-26874	147	1	after	after	ADP
fbem-26874	147	2	analysis	analysis	NOUN
fbem-26874	147	3	,	,	PUNCT
fbem-26874	147	4	one	one	NUM
fbem-26874	147	5	reason	reason	NOUN
fbem-26874	147	6	is	be	AUX
fbem-26874	147	7	that	that	SCONJ
fbem-26874	147	8	there	there	PRON
fbem-26874	147	9	are	be	VERB
fbem-26874	147	10	too	too	ADV
fbem-26874	147	11	few	few	ADJ
fbem-26874	147	12	training	training	NOUN
fbem-26874	147	13	samples	sample	NOUN
fbem-26874	147	14	,	,	PUNCT
fbem-26874	147	15	and	and	CCONJ
fbem-26874	147	16	the	the	DET
fbem-26874	147	17	other	other	ADJ
fbem-26874	147	18	is	be	AUX
fbem-26874	147	19	that	that	SCONJ
fbem-26874	147	20	the	the	DET
fbem-26874	147	21	prediction	prediction	NOUN
fbem-26874	147	22	model	model	NOUN
fbem-26874	147	23	is	be	AUX
fbem-26874	147	24	too	too	ADV
fbem-26874	147	25	simple	simple	ADJ
fbem-26874	147	26	,	,	PUNCT
fbem-26874	147	27	and	and	CCONJ
fbem-26874	147	28	the	the	DET
fbem-26874	147	29	closing	closing	NOUN
fbem-26874	147	30	price	price	NOUN
fbem-26874	147	31	is	be	AUX
fbem-26874	147	32	also	also	ADV
fbem-26874	147	33	related	relate	VERB
fbem-26874	147	34	to	to	ADP
fbem-26874	147	35	other	other	ADJ
fbem-26874	147	36	data	datum	NOUN
fbem-26874	147	37	.	.	PUNCT
fbem-26874	148	1	4	4	X
fbem-26874	148	2	.	.	X
fbem-26874	148	3	summary	summary	VERB
fbem-26874	148	4	this	this	DET
fbem-26874	148	5	system	system	NOUN
fbem-26874	148	6	first	first	ADV
fbem-26874	148	7	collects	collect	VERB
fbem-26874	148	8	data	datum	NOUN
fbem-26874	148	9	on	on	ADP
fbem-26874	148	10	stocks	stock	NOUN
fbem-26874	148	11	during	during	ADP
fbem-26874	148	12	a	a	DET
fbem-26874	148	13	certain	certain	ADJ
fbem-26874	148	14	period	period	NOUN
fbem-26874	148	15	of	of	ADP
fbem-26874	148	16	time	time	NOUN
fbem-26874	148	17	,	,	PUNCT
fbem-26874	148	18	including	include	VERB
fbem-26874	148	19	various	various	ADJ
fbem-26874	148	20	data	datum	NOUN
fbem-26874	148	21	that	that	PRON
fbem-26874	148	22	can	can	AUX
fbem-26874	148	23	reflect	reflect	VERB
fbem-26874	148	24	the	the	DET
fbem-26874	148	25	nature	nature	NOUN
fbem-26874	148	26	of	of	ADP
fbem-26874	148	27	stocks	stock	NOUN
fbem-26874	148	28	,	,	PUNCT
fbem-26874	148	29	such	such	ADJ
fbem-26874	148	30	as	as	ADP
fbem-26874	148	31	stock	stock	NOUN
fbem-26874	148	32	indices	index	NOUN
fbem-26874	148	33	,	,	PUNCT
fbem-26874	148	34	opening	opening	NOUN
fbem-26874	148	35	prices	price	NOUN
fbem-26874	148	36	,	,	PUNCT
fbem-26874	148	37	closing	closing	NOUN
fbem-26874	148	38	prices	price	NOUN
fbem-26874	148	39	,	,	PUNCT
fbem-26874	148	40	trading	trading	NOUN
fbem-26874	148	41	volumes	volume	NOUN
fbem-26874	148	42	,	,	PUNCT
fbem-26874	148	43	and	and	CCONJ
fbem-26874	148	44	some	some	DET
fbem-26874	148	45	statistical	statistical	ADJ
fbem-26874	148	46	data	datum	NOUN
fbem-26874	148	47	that	that	PRON
fbem-26874	148	48	can	can	AUX
fbem-26874	148	49	be	be	AUX
fbem-26874	148	50	used	use	VERB
fbem-26874	148	51	for	for	ADP
fbem-26874	148	52	macroeconomic	macroeconomic	ADJ
fbem-26874	148	53	analysis	analysis	NOUN
fbem-26874	148	54	.	.	PUNCT
fbem-26874	149	1	subsequently	subsequently	ADV
fbem-26874	149	2	,	,	PUNCT
fbem-26874	149	3	this	this	DET
fbem-26874	149	4	article	article	NOUN
fbem-26874	149	5	applies	apply	VERB
fbem-26874	149	6	the	the	DET
fbem-26874	149	7	bp	bp	PROPN
fbem-26874	149	8	neural	neural	ADJ
fbem-26874	149	9	network	network	NOUN
fbem-26874	149	10	algorithm	algorithm	NOUN
fbem-26874	149	11	in	in	ADP
fbem-26874	149	12	matlab	matlab	PROPN
fbem-26874	149	13	to	to	PART
fbem-26874	149	14	simulate	simulate	VERB
fbem-26874	149	15	and	and	CCONJ
fbem-26874	149	16	predict	predict	VERB
fbem-26874	149	17	the	the	DET
fbem-26874	149	18	future	future	ADJ
fbem-26874	149	19	trend	trend	NOUN
fbem-26874	149	20	of	of	ADP
fbem-26874	149	21	stocks	stock	NOUN
fbem-26874	149	22	,	,	PUNCT
fbem-26874	149	23	in	in	ADP
fbem-26874	149	24	order	order	NOUN
fbem-26874	149	25	to	to	PART
fbem-26874	149	26	judge	judge	VERB
fbem-26874	149	27	the	the	DET
fbem-26874	149	28	quality	quality	NOUN
fbem-26874	149	29	of	of	ADP
fbem-26874	149	30	stocks	stock	NOUN
fbem-26874	149	31	and	and	CCONJ
fbem-26874	149	32	the	the	DET
fbem-26874	149	33	buying	buying	NOUN
fbem-26874	149	34	and	and	CCONJ
fbem-26874	149	35	selling	selling	NOUN
fbem-26874	149	36	strategies	strategy	NOUN
fbem-26874	149	37	.	.	PUNCT
fbem-26874	150	1	due	due	ADP
fbem-26874	150	2	to	to	ADP
fbem-26874	150	3	the	the	DET
fbem-26874	150	4	fact	fact	NOUN
fbem-26874	150	5	that	that	SCONJ
fbem-26874	150	6	the	the	DET
fbem-26874	150	7	stock	stock	NOUN
fbem-26874	150	8	market	market	NOUN
fbem-26874	150	9	is	be	AUX
fbem-26874	150	10	a	a	DET
fbem-26874	150	11	highly	highly	ADV
fbem-26874	150	12	complex	complex	ADJ
fbem-26874	150	13	nonlinear	nonlinear	ADJ
fbem-26874	150	14	dynamic	dynamic	ADJ
fbem-26874	150	15	system	system	NOUN
fbem-26874	150	16	,	,	PUNCT
fbem-26874	150	17	the	the	DET
fbem-26874	150	18	bp	bp	PROPN
fbem-26874	150	19	neural	neural	PROPN
fbem-26874	150	20	network	network	NOUN
fbem-26874	150	21	method	method	NOUN
fbem-26874	150	22	can	can	AUX
fbem-26874	150	23	achieve	achieve	VERB
fbem-26874	150	24	a	a	DET
fbem-26874	150	25	highly	highly	ADV
fbem-26874	150	26	nonlinear	nonlinear	ADJ
fbem-26874	150	27	mapping	mapping	NOUN
fbem-26874	150	28	from	from	ADP
fbem-26874	150	29	r	r	NOUN
fbem-26874	150	30	space	space	NOUN
fbem-26874	150	31	to	to	ADP
fbem-26874	150	32	nr	nr	NOUN
fbem-26874	150	33	space	space	NOUN
fbem-26874	150	34	using	use	VERB
fbem-26874	150	35	only	only	ADJ
fbem-26874	150	36	samples	sample	NOUN
fbem-26874	150	37	.	.	PUNCT
fbem-26874	151	1	it	it	PRON
fbem-26874	151	2	has	have	VERB
fbem-26874	151	3	good	good	ADJ
fbem-26874	151	4	adaptability	adaptability	NOUN
fbem-26874	151	5	to	to	ADP
fbem-26874	151	6	atypical	atypical	ADJ
fbem-26874	151	7	data	datum	NOUN
fbem-26874	151	8	and	and	CCONJ
fbem-26874	151	9	obvious	obvious	ADJ
fbem-26874	151	10	superiority	superiority	NOUN
fbem-26874	151	11	in	in	ADP
fbem-26874	151	12	dealing	deal	VERB
fbem-26874	151	13	with	with	ADP
fbem-26874	151	14	missing	miss	VERB
fbem-26874	151	15	values	value	NOUN
fbem-26874	151	16	and	and	CCONJ
fbem-26874	151	17	nonlinear	nonlinear	ADJ
fbem-26874	151	18	problems	problem	NOUN
fbem-26874	151	19	.	.	PUNCT
fbem-26874	152	1	however	however	ADV
fbem-26874	152	2	,	,	PUNCT
fbem-26874	152	3	due	due	ADP
fbem-26874	152	4	to	to	ADP
fbem-26874	152	5	the	the	DET
fbem-26874	152	6	complexity	complexity	NOUN
fbem-26874	152	7	of	of	ADP
fbem-26874	152	8	stock	stock	NOUN
fbem-26874	152	9	data	data	PROPN
fbem-26874	152	10	,	,	PUNCT
fbem-26874	152	11	a	a	DET
fbem-26874	152	12	single	single	ADJ
fbem-26874	152	13	prediction	prediction	NOUN
fbem-26874	152	14	method	method	NOUN
fbem-26874	152	15	is	be	AUX
fbem-26874	152	16	limited	limit	VERB
fbem-26874	152	17	.	.	PUNCT
fbem-26874	153	1	how	how	SCONJ
fbem-26874	153	2	to	to	PART
fbem-26874	153	3	use	use	VERB
fbem-26874	153	4	multiple	multiple	ADJ
fbem-26874	153	5	methods	method	NOUN
fbem-26874	153	6	to	to	PART
fbem-26874	153	7	comprehensively	comprehensively	ADV
fbem-26874	153	8	make	make	VERB
fbem-26874	153	9	qualitative	qualitative	ADJ
fbem-26874	153	10	and	and	CCONJ
fbem-26874	153	11	quantitative	quantitative	ADJ
fbem-26874	153	12	predictions	prediction	NOUN
fbem-26874	153	13	is	be	AUX
fbem-26874	153	14	also	also	ADV
fbem-26874	153	15	the	the	DET
fbem-26874	153	16	focus	focus	NOUN
fbem-26874	153	17	of	of	ADP
fbem-26874	153	18	future	future	ADJ
fbem-26874	153	19	research	research	NOUN
fbem-26874	153	20	on	on	ADP
fbem-26874	153	21	stock	stock	NOUN
fbem-26874	153	22	prediction	prediction	NOUN
fbem-26874	153	23	.	.	PUNCT
fbem-26874	154	1	references	reference	NOUN
fbem-26874	154	2	[	[	X
fbem-26874	154	3	1	1	NUM
fbem-26874	154	4	]	]	PUNCT
fbem-26874	154	5	hu	hu	PROPN
fbem-26874	154	6	jie	jie	PROPN
fbem-26874	154	7	,	,	PUNCT
fbem-26874	154	8	zeng	zeng	PROPN
fbem-26874	154	9	xiangjin	xiangjin	PROPN
fbem-26874	154	10	bp	bp	PROPN
fbem-26874	154	11	neural	neural	PROPN
fbem-26874	154	12	network	network	PROPN
fbem-26874	154	13	stock	stock	NOUN
fbem-26874	154	14	price	price	NOUN
fbem-26874	154	15	prediction	prediction	NOUN
fbem-26874	154	16	based	base	VERB
fbem-26874	154	17	on	on	ADP
fbem-26874	154	18	lm	lm	INTJ
fbem-26874	154	19	algorithm	algorithm	NOUN
fbem-26874	154	20	[	[	X
fbem-26874	154	21	j	j	X
fbem-26874	154	22	]	]	X
fbem-26874	154	23	technology	technology	NOUN
fbem-26874	154	24	entrepreneurship	entrepreneurship	NOUN
fbem-26874	154	25	monthly	monthly	ADV
fbem-26874	154	26	,	,	PUNCT
fbem-26874	154	27	2007	2007	NUM
fbem-26874	154	28	,	,	PUNCT
fbem-26874	154	29	20	20	NUM
fbem-26874	154	30	(	(	PUNCT
fbem-26874	154	31	2	2	NUM
fbem-26874	154	32	):	):	PUNCT
fbem-26874	154	33	183	183	NUM
fbem-26874	154	34	-	-	SYM
fbem-26874	154	35	183	183	NUM
fbem-26874	154	36	[	[	X
fbem-26874	154	37	2	2	NUM
fbem-26874	154	38	]	]	X
fbem-26874	154	39	zhang	zhang	PROPN
fbem-26874	154	40	jigang	jigang	PROPN
fbem-26874	154	41	an	an	DET
fbem-26874	154	42	improved	improved	ADJ
fbem-26874	154	43	method	method	NOUN
fbem-26874	154	44	for	for	ADP
fbem-26874	154	45	stock	stock	NOUN
fbem-26874	154	46	price	price	NOUN
fbem-26874	154	47	prediction	prediction	NOUN
fbem-26874	154	48	based	base	VERB
fbem-26874	154	49	on	on	ADP
fbem-26874	154	50	bp	bp	PROPN
fbem-26874	154	51	neural	neural	ADJ
fbem-26874	154	52	network	network	NOUN
fbem-26874	154	53	[	[	X
fbem-26874	154	54	j	j	X
fbem-26874	154	55	]	]	X
fbem-26874	154	56	journal	journal	PROPN
fbem-26874	154	57	of	of	ADP
fbem-26874	154	58	changjiang	changjiang	PROPN
fbem-26874	154	59	university	university	PROPN
fbem-26874	154	60	a	a	DET
fbem-26874	154	61	(	(	PUNCT
fbem-26874	154	62	natural	natural	ADJ
fbem-26874	154	63	science	science	NOUN
fbem-26874	154	64	edition	edition	NOUN
fbem-26874	154	65	)	)	PUNCT
fbem-26874	154	66	,	,	PUNCT
fbem-26874	154	67	2007	2007	NUM
fbem-26874	155	1	[	[	X
fbem-26874	155	2	3	3	X
fbem-26874	155	3	]	]	X
fbem-26874	155	4	zhang	zhang	PROPN
fbem-26874	155	5	caifeng	caifeng	PROPN
fbem-26874	155	6	pso	pso	PROPN
fbem-26874	155	7	-	-	PUNCT
fbem-26874	155	8	bp	bp	PROPN
fbem-26874	155	9	neural	neural	ADJ
fbem-26874	155	10	network	network	NOUN
fbem-26874	155	11	stock	stock	NOUN
fbem-26874	155	12	price	price	NOUN
fbem-26874	155	13	prediction	prediction	NOUN
fbem-26874	155	14	[	[	X
fbem-26874	155	15	j	j	X
fbem-26874	155	16	]	]	X
fbem-26874	155	17	business	business	NOUN
fbem-26874	155	18	manager	manager	NOUN
fbem-26874	155	19	,	,	PUNCT
fbem-26874	155	20	2016	2016	NUM
fbem-26874	155	21	(	(	PUNCT
fbem-26874	155	22	9	9	NUM
fbem-26874	155	23	)	)	PUNCT
fbem-26874	156	1	[	[	X
fbem-26874	156	2	4	4	NUM
fbem-26874	156	3	]	]	X
fbem-26874	156	4	zhang	zhang	PROPN
fbem-26874	156	5	soaring	soar	VERB
fbem-26874	156	6	research	research	NOUN
fbem-26874	156	7	on	on	ADP
fbem-26874	156	8	domestic	domestic	ADJ
fbem-26874	156	9	and	and	CCONJ
fbem-26874	156	10	foreign	foreign	ADJ
fbem-26874	156	11	stock	stock	NOUN
fbem-26874	156	12	market	market	NOUN
fbem-26874	156	13	prediction	prediction	NOUN
fbem-26874	156	14	based	base	VERB
fbem-26874	156	15	on	on	ADP
fbem-26874	156	16	bp	bp	PROPN
fbem-26874	156	17	neural	neural	PROPN
fbem-26874	156	18	network	network	PROPN
fbem-26874	156	19	stock	stock	NOUN
fbem-26874	156	20	index	index	NOUN
fbem-26874	156	21	prediction	prediction	NOUN
fbem-26874	156	22	system	system	NOUN
fbem-26874	156	23	[	[	X
fbem-26874	156	24	d	d	X
fbem-26874	156	25	]	]	X
fbem-26874	156	26	hunan	hunan	PROPN
fbem-26874	156	27	university	university	PROPN
fbem-26874	156	28	,	,	PUNCT
fbem-26874	156	29	2017	2017	NUM
fbem-26874	156	30	[	[	SYM
fbem-26874	156	31	5	5	NUM
fbem-26874	156	32	]	]	X
fbem-26874	156	33	wu	wu	PROPN
fbem-26874	156	34	haihua	haihua	PROPN
fbem-26874	156	35	,	,	PUNCT
fbem-26874	156	36	ma	ma	PROPN
fbem-26874	156	37	yuan	yuan	PROPN
fbem-26874	156	38	,	,	PUNCT
fbem-26874	156	39	etc	etc	X
fbem-26874	156	40	bp	bp	PROPN
fbem-26874	156	41	neural	neural	PROPN
fbem-26874	156	42	network	network	PROPN
fbem-26874	156	43	stock	stock	PROPN
fbem-26874	156	44	index	index	NOUN
fbem-26874	156	45	prediction	prediction	NOUN
fbem-26874	156	46	model	model	NOUN
fbem-26874	156	47	[	[	X
fbem-26874	156	48	j	j	X
fbem-26874	156	49	]	]	X
fbem-26874	156	50	journal	journal	NOUN
fbem-26874	156	51	of	of	ADP
fbem-26874	156	52	the	the	DET
fbem-26874	156	53	communist	communist	PROPN
fbem-26874	156	54	party	party	PROPN
fbem-26874	156	55	of	of	ADP
fbem-26874	156	56	china	china	PROPN
fbem-26874	156	57	qingdao	qingdao	PROPN
fbem-26874	156	58	municipal	municipal	PROPN
fbem-26874	156	59	party	party	PROPN
fbem-26874	156	60	school	school	PROPN
fbem-26874	156	61	and	and	CCONJ
fbem-26874	156	62	qingdao	qingdao	PROPN
fbem-26874	156	63	administrative	administrative	PROPN
fbem-26874	156	64	college	college	PROPN
fbem-26874	156	65	,	,	PUNCT
fbem-26874	156	66	2003	2003	NUM
fbem-26874	156	67	[	[	X
fbem-26874	156	68	6	6	NUM
fbem-26874	156	69	]	]	PUNCT
fbem-26874	156	70	yang	yang	PROPN
fbem-26874	156	71	xiaoyan	xiaoyan	VERB
fbem-26874	156	72	the	the	DET
fbem-26874	156	73	application	application	NOUN
fbem-26874	156	74	of	of	ADP
fbem-26874	156	75	neural	neural	ADJ
fbem-26874	156	76	networks	network	NOUN
fbem-26874	156	77	in	in	ADP
fbem-26874	156	78	stock	stock	NOUN
fbem-26874	156	79	market	market	NOUN
fbem-26874	156	80	prediction	prediction	NOUN
fbem-26874	156	81	[	[	X
fbem-26874	156	82	d	d	X
fbem-26874	156	83	]	]	X
fbem-26874	156	84	north	north	PROPN
fbem-26874	156	85	china	china	PROPN
fbem-26874	156	86	university	university	PROPN
fbem-26874	156	87	,	,	PUNCT
fbem-26874	156	88	2008	2008	NUM
fbem-26874	157	1	[	[	X
fbem-26874	157	2	7	7	X
fbem-26874	157	3	]	]	X
fbem-26874	157	4	fu	fu	PROPN
fbem-26874	157	5	shifeng	shifeng	PROPN
fbem-26874	157	6	,	,	PUNCT
fbem-26874	157	7	zhao	zhao	PROPN
fbem-26874	157	8	li	li	PROPN
fbem-26874	157	9	,	,	PUNCT
fbem-26874	157	10	cai	cai	PROPN
fbem-26874	157	11	wenjun	wenjun	PROPN
fbem-26874	157	12	research	research	NOUN
fbem-26874	157	13	on	on	ADP
fbem-26874	157	14	the	the	DET
fbem-26874	157	15	application	application	NOUN
fbem-26874	157	16	of	of	ADP
fbem-26874	157	17	bp	bp	PROPN
fbem-26874	157	18	neural	neural	ADJ
fbem-26874	157	19	network	network	NOUN
fbem-26874	157	20	in	in	ADP
fbem-26874	157	21	stock	stock	NOUN
fbem-26874	157	22	market	market	NOUN
fbem-26874	157	23	prediction	prediction	NOUN
fbem-26874	157	24	[	[	X
fbem-26874	157	25	j	j	X
fbem-26874	157	26	]	]	X
fbem-26874	157	27	computer	computer	NOUN
fbem-26874	157	28	knowledge	knowledge	NOUN
fbem-26874	157	29	and	and	CCONJ
fbem-26874	157	30	technology	technology	NOUN
fbem-26874	157	31	:	:	PUNCT
fbem-26874	157	32	academic	academic	ADJ
fbem-26874	157	33	edition	edition	NOUN
fbem-26874	157	34	,	,	PUNCT
fbem-26874	157	35	2021	2021	NUM
fbem-26874	158	1	[	[	X
fbem-26874	158	2	8	8	NUM
fbem-26874	158	3	]	]	X
fbem-26874	158	4	bai	bai	PROPN
fbem-26874	158	5	danjin	danjin	PROPN
fbem-26874	158	6	xin	xin	PROPN
fbem-26874	158	7	sun	sun	PROPN
fbem-26874	158	8	fangfang	fangfang	PROPN
fbem-26874	158	9	establishment	establishment	NOUN
fbem-26874	158	10	of	of	ADP
fbem-26874	158	11	stock	stock	NOUN
fbem-26874	158	12	price	price	NOUN
fbem-26874	158	13	prediction	prediction	NOUN
fbem-26874	158	14	model	model	NOUN
fbem-26874	158	15	using	use	VERB
fbem-26874	158	16	bp	bp	PROPN
fbem-26874	158	17	neural	neural	ADJ
fbem-26874	158	18	network	network	NOUN
fbem-26874	158	19	[	[	X
fbem-26874	158	20	j	j	X
fbem-26874	158	21	]	]	X
fbem-26874	158	22	technology	technology	NOUN
fbem-26874	158	23	entrepreneurship	entrepreneurship	NOUN
fbem-26874	158	24	monthly	monthly	ADV
fbem-26874	158	25	,	,	PUNCT
fbem-26874	158	26	2006	2006	NUM
fbem-26874	158	27	[	[	X
fbem-26874	158	28	9	9	NUM
fbem-26874	158	29	]	]	X
fbem-26874	158	30	yang	yang	PROPN
fbem-26874	158	31	jie	jie	PROPN
fbem-26874	158	32	,	,	PUNCT
fbem-26874	158	33	jia	jia	PROPN
fbem-26874	158	34	shuwen	shuwen	PROPN
fbem-26874	158	35	,	,	PUNCT
fbem-26874	158	36	xu	xu	PROPN
fbem-26874	158	37	siheng	siheng	PROPN
fbem-26874	158	38	,	,	PUNCT
fbem-26874	158	39	che	che	PROPN
fbem-26874	158	40	lujun	lujun	PROPN
fbem-26874	158	41	research	research	NOUN
fbem-26874	158	42	on	on	ADP
fbem-26874	158	43	stock	stock	NOUN
fbem-26874	158	44	price	price	NOUN
fbem-26874	158	45	prediction	prediction	NOUN
fbem-26874	158	46	based	base	VERB
fbem-26874	158	47	on	on	ADP
fbem-26874	158	48	bp	bp	PROPN
fbem-26874	158	49	neural	neural	ADJ
fbem-26874	158	50	network	network	NOUN
fbem-26874	158	51	[	[	X
fbem-26874	158	52	c]//2020	c]//2020	PROPN
fbem-26874	158	53	wanzhi	wanzhi	PROPN
fbem-26874	158	54	science	science	PROPN
fbem-26874	158	55	development	development	PROPN
fbem-26874	158	56	forum	forum	PROPN
fbem-26874	158	57	0	0	PUNCT
fbem-26874	159	1	[	[	X
fbem-26874	159	2	10	10	NUM
fbem-26874	159	3	]	]	PUNCT
fbem-26874	159	4	yu	yu	PROPN
fbem-26874	159	5	haishu	haishu	PROPN
fbem-26874	159	6	,	,	PUNCT
fbem-26874	159	7	cai	cai	PROPN
fbem-26874	159	8	jihua	jihua	PROPN
fbem-26874	159	9	,	,	PUNCT
fbem-26874	159	10	xia	xia	PROPN
fbem-26874	159	11	hong	hong	PROPN
fbem-26874	159	12	the	the	DET
fbem-26874	159	13	application	application	NOUN
fbem-26874	159	14	of	of	ADP
fbem-26874	159	15	arima	arima	PROPN
fbem-26874	159	16	model	model	NOUN
fbem-26874	159	17	in	in	ADP
fbem-26874	159	18	stock	stock	NOUN
fbem-26874	159	19	price	price	NOUN
fbem-26874	159	20	prediction	prediction	NOUN
fbem-26874	160	1	[	[	X
fbem-26874	160	2	j	j	X
fbem-26874	160	3	]	]	X
fbem-26874	160	4	economist	economist	NOUN
fbem-26874	160	5	,	,	PUNCT
fbem-26874	160	6	2015	2015	NUM
fbem-26874	160	7	(	(	PUNCT
fbem-26874	160	8	11	11	NUM
fbem-26874	160	9	):	):	SYM
fbem-26874	160	10	2	2	NUM
fbem-26874	160	11	[	[	SYM
fbem-26874	160	12	11	11	NUM
fbem-26874	160	13	]	]	X
fbem-26874	160	14	dong	dong	PROPN
fbem-26874	160	15	bolun	bolun	PROPN
fbem-26874	160	16	,	,	PUNCT
fbem-26874	160	17	xu	xu	PROPN
fbem-26874	160	18	dongyu	dongyu	PROPN
fbem-26874	160	19	prediction	prediction	NOUN
fbem-26874	160	20	and	and	CCONJ
fbem-26874	160	21	analysis	analysis	NOUN
fbem-26874	160	22	of	of	ADP
fbem-26874	160	23	agricultural	agricultural	ADJ
fbem-26874	160	24	product	product	NOUN
fbem-26874	160	25	stock	stock	NOUN
fbem-26874	160	26	prices	price	NOUN
fbem-26874	160	27	based	base	VERB
fbem-26874	160	28	on	on	ADP
fbem-26874	160	29	arima	arima	PROPN
fbem-26874	160	30	model	model	NOUN
fbem-26874	160	31	[	[	X
fbem-26874	160	32	j	j	X
fbem-26874	160	33	]	]	X
fbem-26874	160	34	modern	modern	ADJ
fbem-26874	160	35	business	business	NOUN
fbem-26874	160	36	,	,	PUNCT
fbem-26874	160	37	2015	2015	NUM
fbem-26874	160	38	(	(	PUNCT
fbem-26874	160	39	3	3	NUM
fbem-26874	160	40	):	):	PUNCT
fbem-26874	160	41	3	3	NUM
fbem-26874	160	42	[	[	X
fbem-26874	160	43	12	12	NUM
fbem-26874	160	44	]	]	X
fbem-26874	160	45	chen	chen	PROPN
fbem-26874	160	46	huan	huan	PROPN
fbem-26874	160	47	,	,	PUNCT
fbem-26874	160	48	chen	chen	PROPN
fbem-26874	160	49	peng	peng	PROPN
fbem-26874	160	50	using	use	VERB
fbem-26874	160	51	arima	arima	PROPN
fbem-26874	160	52	model	model	NOUN
fbem-26874	160	53	to	to	PART
fbem-26874	160	54	predict	predict	VERB
fbem-26874	160	55	stock	stock	NOUN
fbem-26874	160	56	prices	price	NOUN
fbem-26874	160	57	taking	take	VERB
fbem-26874	160	58	laibao	laibao	VERB
fbem-26874	160	59	high	high	ADJ
fbem-26874	160	60	tech	tech	NOUN
fbem-26874	160	61	(	(	PUNCT
fbem-26874	160	62	002106	002106	NUM
fbem-26874	160	63	)	)	PUNCT
fbem-26874	160	64	as	as	ADP
fbem-26874	160	65	an	an	DET
fbem-26874	160	66	example	example	NOUN
fbem-26874	160	67	[	[	X
fbem-26874	160	68	j	j	X
fbem-26874	160	69	]	]	X
fbem-26874	160	70	business	business	NOUN
fbem-26874	160	71	situation	situation	NOUN
fbem-26874	160	72	,	,	PUNCT
fbem-26874	160	73	2012	2012	NUM
fbem-26874	160	74	(	(	PUNCT
fbem-26874	160	75	8)	8)	NUM
fbem-26874	160	76	:	:	SYM
fbem-26874	160	77	1	1	NUM
fbem-26874	160	78	[	[	SYM
fbem-26874	160	79	13	13	NUM
fbem-26874	160	80	]	]	X
fbem-26874	160	81	zhao	zhao	PROPN
fbem-26874	160	82	kangyin	kangyin	PROPN
fbem-26874	160	83	,	,	PUNCT
fbem-26874	160	84	xue	xue	PROPN
fbem-26874	160	85	yanan	yanan	PROPN
fbem-26874	160	86	tcl	tcl	PROPN
fbem-26874	160	87	group	group	PROPN
fbem-26874	160	88	stock	stock	NOUN
fbem-26874	160	89	prediction	prediction	NOUN
fbem-26874	160	90	and	and	CCONJ
fbem-26874	160	91	evaluation	evaluation	NOUN
fbem-26874	160	92	based	base	VERB
fbem-26874	160	93	on	on	ADP
fbem-26874	160	94	arima	arima	PROPN
fbem-26874	160	95	model	model	NOUN
fbem-26874	161	1	[	[	X
fbem-26874	161	2	j	j	X
fbem-26874	161	3	]	]	X
fbem-26874	161	4	two	two	NUM
fbem-26874	161	5	thousand	thousand	NUM
fbem-26874	161	6	and	and	CCONJ
fbem-26874	161	7	nineteen	nineteen	NUM
fbem-26874	161	8	[	[	X
fbem-26874	161	9	14	14	NUM
fbem-26874	161	10	]	]	X
fbem-26874	161	11	shi	shi	PROPN
fbem-26874	161	12	yang	yang	PROPN
fbem-26874	161	13	analysis	analysis	NOUN
fbem-26874	161	14	of	of	ADP
fbem-26874	161	15	the	the	DET
fbem-26874	161	16	linkage	linkage	NOUN
fbem-26874	161	17	between	between	ADP
fbem-26874	161	18	stock	stock	NOUN
fbem-26874	161	19	prices	price	NOUN
fbem-26874	161	20	and	and	CCONJ
fbem-26874	161	21	the	the	DET
fbem-26874	161	22	renminbi	renminbi	NOUN
fbem-26874	161	23	exchange	exchange	NOUN
fbem-26874	161	24	rate	rate	NOUN
fbem-26874	161	25	:	:	PUNCT
fbem-26874	161	26	based	base	VERB
fbem-26874	161	27	on	on	ADP
fbem-26874	161	28	the	the	DET
fbem-26874	161	29	copula	copula	NOUN
fbem-26874	161	30	arima	arima	PROPN
fbem-26874	161	31	model	model	NOUN
fbem-26874	161	32	[	[	X
fbem-26874	161	33	j	j	X
fbem-26874	161	34	]	]	X
fbem-26874	161	35	journal	journal	PROPN
fbem-26874	161	36	of	of	ADP
fbem-26874	161	37	shanxi	shanxi	PROPN
fbem-26874	161	38	university	university	PROPN
fbem-26874	161	39	of	of	ADP
fbem-26874	161	40	finance	finance	NOUN
fbem-26874	161	41	and	and	CCONJ
fbem-26874	161	42	economics	economic	NOUN
fbem-26874	161	43	,	,	PUNCT
fbem-26874	161	44	2019	2019	NUM
fbem-26874	161	45	[	[	X
fbem-26874	161	46	15	15	NUM
fbem-26874	161	47	]	]	X
fbem-26874	161	48	han	han	PROPN
fbem-26874	161	49	junwei	junwei	PROPN
fbem-26874	161	50	analysis	analysis	NOUN
fbem-26874	161	51	and	and	CCONJ
fbem-26874	161	52	prediction	prediction	NOUN
fbem-26874	161	53	of	of	ADP
fbem-26874	161	54	shanghai	shanghai	PROPN
fbem-26874	161	55	stock	stock	PROPN
fbem-26874	161	56	exchange	exchange	PROPN
fbem-26874	161	57	50	50	NUM
fbem-26874	161	58	index	index	NOUN
fbem-26874	161	59	based	base	VERB
fbem-26874	161	60	on	on	ADP
fbem-26874	161	61	arima	arima	PROPN
fbem-26874	161	62	model	model	NOUN
fbem-26874	161	63	[	[	X
fbem-26874	161	64	j	j	X
fbem-26874	161	65	]	]	X
fbem-26874	161	66	fujian	fujian	PROPN
fbem-26874	161	67	quality	quality	PROPN
fbem-26874	161	68	management	management	NOUN
fbem-26874	161	69	,	,	PUNCT
fbem-26874	161	70	2019	2019	NUM
fbem-26874	161	71	(	(	PUNCT
fbem-26874	161	72	24	24	NUM
fbem-26874	161	73	)	)	PUNCT