id	sid	tid	token	lemma	pos
cana-3469	1	1	communications	communication	NOUN
cana-3469	1	2	on	on	ADP
cana-3469	1	3	applied	apply	VERB
cana-3469	1	4	nonlinear	nonlinear	ADJ
cana-3469	1	5	analysis	analysis	NOUN
cana-3469	1	6	issn	issn	NOUN
cana-3469	1	7	:	:	PUNCT
cana-3469	1	8	1074	1074	NUM
cana-3469	1	9	-	-	PUNCT
cana-3469	1	10	133x	133x	NUM
cana-3469	1	11	vol	vol	NOUN
cana-3469	1	12	32	32	NUM
cana-3469	1	13	no	no	NOUN
cana-3469	1	14	.	.	PUNCT
cana-3469	2	1	7s	7	NOUN
cana-3469	2	2	(	(	PUNCT
cana-3469	2	3	2025	2025	NUM
cana-3469	2	4	)	)	PUNCT
cana-3469	2	5	619	619	NUM
cana-3469	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3469	2	7	longand	longand	PROPN
cana-3469	2	8	short	short	ADJ
cana-3469	2	9	-	-	PUNCT
cana-3469	2	10	term	term	NOUN
cana-3469	2	11	memory	memory	NOUN
cana-3469	2	12	networks	network	NOUN
cana-3469	2	13	in	in	ADP
cana-3469	2	14	financial	financial	ADJ
cana-3469	2	15	market	market	NOUN
cana-3469	2	16	predictions	prediction	NOUN
cana-3469	2	17	:	:	PUNCT
cana-3469	2	18	a	a	DET
cana-3469	2	19	study	study	NOUN
cana-3469	2	20	on	on	ADP
cana-3469	2	21	usd	usd	NOUN
cana-3469	2	22	fluctuations	fluctuation	NOUN
cana-3469	2	23	himanshu	himanshu	PROPN
cana-3469	2	24	jindia*,dr.namita	jindia*,dr.namita	PROPN
cana-3469	2	25	sahay	sahay	PROPN
cana-3469	2	26	*	*	PUNCT
cana-3469	2	27	*	*	PUNCT
cana-3469	2	28	*	*	PUNCT
cana-3469	2	29	research	research	NOUN
cana-3469	2	30	scholar	scholar	NOUN
cana-3469	2	31	,	,	PUNCT
cana-3469	2	32	amity	amity	NOUN
cana-3469	2	33	international	international	ADJ
cana-3469	2	34	business	business	NOUN
cana-3469	2	35	school	school	NOUN
cana-3469	2	36	(	(	PUNCT
cana-3469	2	37	aibs	aib	NOUN
cana-3469	2	38	)	)	PUNCT
cana-3469	2	39	,	,	PUNCT
cana-3469	2	40	amity	amity	NOUN
cana-3469	2	41	university	university	PROPN
cana-3469	2	42	,	,	PUNCT
cana-3469	2	43	noida	noida	PROPN
cana-3469	2	44	(	(	PUNCT
cana-3469	2	45	india),himanshu.acs@gmail.com,+917719617471	india),himanshu.acs@gmail.com,+917719617471	PROPN
cana-3469	2	46	.	.	PUNCT
cana-3469	3	1	*	*	PUNCT
cana-3469	3	2	*	*	PUNCT
cana-3469	3	3	professor	professor	NOUN
cana-3469	3	4	,	,	PUNCT
cana-3469	3	5	amity	amity	NOUN
cana-3469	3	6	international	international	ADJ
cana-3469	3	7	business	business	NOUN
cana-3469	3	8	school	school	NOUN
cana-3469	3	9	(	(	PUNCT
cana-3469	3	10	aibs	aib	NOUN
cana-3469	3	11	)	)	PUNCT
cana-3469	3	12	,	,	PUNCT
cana-3469	3	13	amity	amity	NOUN
cana-3469	3	14	university	university	PROPN
cana-3469	3	15	,	,	PUNCT
cana-3469	3	16	noida	noida	PROPN
cana-3469	3	17	(	(	PUNCT
cana-3469	3	18	india),nsahay@amity.edu,+918130405724	india),nsahay@amity.edu,+918130405724	PROPN
cana-3469	3	19	.	.	PUNCT
cana-3469	4	1	article	article	NOUN
cana-3469	4	2	history	history	NOUN
cana-3469	4	3	:	:	PUNCT
cana-3469	4	4	received	receive	VERB
cana-3469	4	5	:	:	PUNCT
cana-3469	4	6	26	26	NUM
cana-3469	4	7	-	-	SYM
cana-3469	4	8	10	10	NUM
cana-3469	4	9	-	-	PUNCT
cana-3469	4	10	2024	2024	NUM
cana-3469	4	11	revised:10	revised:10	NOUN
cana-3469	4	12	-	-	PUNCT
cana-3469	4	13	11	11	NUM
cana-3469	4	14	-	-	PUNCT
cana-3469	4	15	2024	2024	NUM
cana-3469	4	16	accepted:18	accepted:18	PROPN
cana-3469	4	17	-	-	PUNCT
cana-3469	4	18	12	12	NUM
cana-3469	4	19	-	-	PUNCT
cana-3469	4	20	2024	2024	NUM
cana-3469	4	21	abstract	abstract	NOUN
cana-3469	4	22	:	:	PUNCT
cana-3469	4	23	the	the	DET
cana-3469	4	24	financial	financial	ADJ
cana-3469	4	25	market	market	NOUN
cana-3469	4	26	is	be	AUX
cana-3469	4	27	very	very	ADV
cana-3469	4	28	sensitive	sensitive	ADJ
cana-3469	4	29	to	to	ADP
cana-3469	4	30	changes	change	NOUN
cana-3469	4	31	in	in	ADP
cana-3469	4	32	the	the	DET
cana-3469	4	33	usd	usd	NOUN
cana-3469	4	34	exchange	exchange	NOUN
cana-3469	4	35	rate	rate	NOUN
cana-3469	4	36	.	.	PUNCT
cana-3469	5	1	people	people	NOUN
cana-3469	5	2	may	may	AUX
cana-3469	5	3	better	well	ADV
cana-3469	5	4	assess	assess	VERB
cana-3469	5	5	the	the	DET
cana-3469	5	6	economic	economic	ADJ
cana-3469	5	7	condition	condition	NOUN
cana-3469	5	8	and	and	CCONJ
cana-3469	5	9	steer	steer	VERB
cana-3469	5	10	clear	clear	ADJ
cana-3469	5	11	of	of	ADP
cana-3469	5	12	financial	financial	ADJ
cana-3469	5	13	hazards	hazard	NOUN
cana-3469	5	14	with	with	ADP
cana-3469	5	15	accurate	accurate	ADJ
cana-3469	5	16	predictions	prediction	NOUN
cana-3469	5	17	of	of	ADP
cana-3469	5	18	the	the	DET
cana-3469	5	19	usd	usd	NOUN
cana-3469	5	20	rate	rate	NOUN
cana-3469	5	21	of	of	ADP
cana-3469	5	22	exchange	exchange	NOUN
cana-3469	5	23	.	.	PUNCT
cana-3469	6	1	this	this	DET
cana-3469	6	2	study	study	NOUN
cana-3469	6	3	proposes	propose	VERB
cana-3469	6	4	a	a	DET
cana-3469	6	5	cnn	cnn	PROPN
cana-3469	6	6	-	-	PUNCT
cana-3469	6	7	stlstm	stlstm	NOUN
cana-3469	6	8	-	-	PUNCT
cana-3469	6	9	am	be	AUX
cana-3469	6	10	hybrid	hybrid	ADJ
cana-3469	6	11	method	method	NOUN
cana-3469	6	12	for	for	ADP
cana-3469	6	13	closing	close	VERB
cana-3469	6	14	usd	usd	NOUN
cana-3469	6	15	price	price	NOUN
cana-3469	6	16	forecasting	forecasting	NOUN
cana-3469	6	17	.	.	PUNCT
cana-3469	7	1	a	a	DET
cana-3469	7	2	convolutional	convolutional	ADJ
cana-3469	7	3	neural	neural	ADJ
cana-3469	7	4	network	network	NOUN
cana-3469	7	5	(	(	PUNCT
cana-3469	7	6	cnn	cnn	PROPN
cana-3469	7	7	)	)	PUNCT
cana-3469	7	8	uses	use	VERB
cana-3469	7	9	the	the	DET
cana-3469	7	10	input	input	NOUN
cana-3469	7	11	data	datum	NOUN
cana-3469	7	12	to	to	PART
cana-3469	7	13	extract	extract	VERB
cana-3469	7	14	local	local	ADJ
cana-3469	7	15	characters	character	NOUN
cana-3469	7	16	.	.	PUNCT
cana-3469	8	1	one	one	NUM
cana-3469	8	2	better	well	ADJ
cana-3469	8	3	model	model	NOUN
cana-3469	8	4	suggested	suggest	VERB
cana-3469	8	5	in	in	ADP
cana-3469	8	6	the	the	DET
cana-3469	8	7	article	article	NOUN
cana-3469	8	8	,	,	PUNCT
cana-3469	8	9	specialized	specialized	PROPN
cana-3469	8	10	tanh	tanh	PROPN
cana-3469	8	11	long	long	ADJ
cana-3469	8	12	and	and	CCONJ
cana-3469	8	13	short	short	ADJ
cana-3469	8	14	-	-	PUNCT
cana-3469	8	15	term	term	NOUN
cana-3469	8	16	memory	memory	NOUN
cana-3469	8	17	(	(	PUNCT
cana-3469	8	18	stlstm	stlstm	NOUN
cana-3469	8	19	)	)	PUNCT
cana-3469	8	20	,	,	PUNCT
cana-3469	8	21	uses	use	VERB
cana-3469	8	22	local	local	ADJ
cana-3469	8	23	characters	character	NOUN
cana-3469	8	24	to	to	PART
cana-3469	8	25	predict	predict	VERB
cana-3469	8	26	the	the	DET
cana-3469	8	27	closing	closing	NOUN
cana-3469	8	28	value	value	NOUN
cana-3469	8	29	of	of	ADP
cana-3469	8	30	the	the	DET
cana-3469	8	31	usd	usd	NOUN
cana-3469	8	32	exchange	exchange	NOUN
cana-3469	8	33	rate	rate	NOUN
cana-3469	8	34	.	.	PUNCT
cana-3469	9	1	the	the	DET
cana-3469	9	2	feature	feature	NOUN
cana-3469	9	3	weights	weight	NOUN
cana-3469	9	4	are	be	AUX
cana-3469	9	5	distributed	distribute	VERB
cana-3469	9	6	through	through	ADP
cana-3469	9	7	the	the	DET
cana-3469	9	8	attention	attention	NOUN
cana-3469	9	9	mechanism	mechanism	NOUN
cana-3469	9	10	(	(	PUNCT
cana-3469	9	11	am	be	AUX
cana-3469	9	12	)	)	PUNCT
cana-3469	9	13	according	accord	VERB
cana-3469	9	14	to	to	ADP
cana-3469	9	15	the	the	DET
cana-3469	9	16	effect	effect	NOUN
cana-3469	9	17	of	of	ADP
cana-3469	9	18	the	the	DET
cana-3469	9	19	localized	localized	ADJ
cana-3469	9	20	character	character	NOUN
cana-3469	9	21	on	on	ADP
cana-3469	9	22	the	the	DET
cana-3469	9	23	closing	closing	NOUN
cana-3469	9	24	price	price	NOUN
cana-3469	9	25	.	.	PUNCT
cana-3469	10	1	to	to	PART
cana-3469	10	2	prohibit	prohibit	VERB
cana-3469	10	3	total	total	ADJ
cana-3469	10	4	discarding	discard	VERB
cana-3469	10	5	or	or	CCONJ
cana-3469	10	6	retention	retention	NOUN
cana-3469	10	7	,	,	PUNCT
cana-3469	10	8	the	the	DET
cana-3469	10	9	output	output	NOUN
cana-3469	10	10	range	range	NOUN
cana-3469	10	11	is	be	AUX
cana-3469	10	12	altered	alter	VERB
cana-3469	10	13	from	from	ADP
cana-3469	10	14	(	(	PUNCT
cana-3469	10	15	0	0	NUM
cana-3469	10	16	,	,	PUNCT
cana-3469	10	17	to	to	ADP
cana-3469	10	18	0.2	0.2	NUM
cana-3469	10	19	,	,	PUNCT
cana-3469	10	20	0.96	0.96	NUM
cana-3469	10	21	)	)	PUNCT
cana-3469	10	22	.	.	PUNCT
cana-3469	11	1	this	this	PRON
cana-3469	11	2	is	be	AUX
cana-3469	11	3	achieved	achieve	VERB
cana-3469	11	4	by	by	ADP
cana-3469	11	5	adding	add	VERB
cana-3469	11	6	the	the	DET
cana-3469	11	7	tanh	tanh	PROPN
cana-3469	11	8	(	(	PUNCT
cana-3469	11	9	x	x	NOUN
cana-3469	11	10	)	)	PUNCT
cana-3469	11	11	plus	plus	CCONJ
cana-3469	11	12	0.2	0.2	NUM
cana-3469	11	13	functions	function	NOUN
cana-3469	11	14	to	to	ADP
cana-3469	11	15	the	the	DET
cana-3469	11	16	input	input	NOUN
cana-3469	11	17	gate	gate	NOUN
cana-3469	11	18	.	.	PUNCT
cana-3469	12	1	the	the	DET
cana-3469	12	2	following	follow	VERB
cana-3469	12	3	neural	neural	ADJ
cana-3469	12	4	networks	network	NOUN
cana-3469	12	5	are	be	AUX
cana-3469	12	6	examined	examine	VERB
cana-3469	12	7	and	and	CCONJ
cana-3469	12	8	compared	compare	VERB
cana-3469	12	9	:	:	PUNCT
cana-3469	12	10	svr	svr	PROPN
cana-3469	12	11	,	,	PUNCT
cana-3469	12	12	cnn	cnn	PROPN
cana-3469	12	13	,	,	PUNCT
cana-3469	12	14	cnn	cnn	PROPN
cana-3469	12	15	-	-	PUNCT
cana-3469	12	16	lstm	lstm	PROPN
cana-3469	12	17	,	,	PUNCT
cana-3469	12	18	cnn	cnn	PROPN
cana-3469	12	19	-	-	PUNCT
cana-3469	12	20	lstm	lstm	PROPN
cana-3469	12	21	-	-	PUNCT
cana-3469	12	22	am	am	NOUN
cana-3469	12	23	,	,	PUNCT
cana-3469	12	24	lstm	lstm	PROPN
cana-3469	12	25	,	,	PUNCT
cana-3469	12	26	gru	gru	NOUN
cana-3469	12	27	-	-	NOUN
cana-3469	12	28	lstm	lstm	ADJ
cana-3469	12	29	,	,	PUNCT
cana-3469	12	30	and	and	CCONJ
cana-3469	12	31	cnn	cnn	PROPN
cana-3469	12	32	-	-	PUNCT
cana-3469	12	33	stlstm	stlstm	NOUN
cana-3469	12	34	-	-	PUNCT
cana-3469	12	35	am	am	NOUN
cana-3469	12	36	,	,	PUNCT
cana-3469	12	37	all	all	PRON
cana-3469	12	38	of	of	ADP
cana-3469	12	39	which	which	PRON
cana-3469	12	40	predict	predict	VERB
cana-3469	12	41	the	the	DET
cana-3469	12	42	closing	closing	NOUN
cana-3469	12	43	price	price	NOUN
cana-3469	12	44	.	.	PUNCT
cana-3469	13	1	experiments	experiment	NOUN
cana-3469	13	2	show	show	VERB
cana-3469	13	3	that	that	SCONJ
cana-3469	13	4	cnn	cnn	PROPN
cana-3469	13	5	-	-	PUNCT
cana-3469	13	6	stlstm	stlstm	NOUN
cana-3469	13	7	to	to	PART
cana-3469	13	8	am	am	VERB
cana-3469	13	9	is	be	AUX
cana-3469	13	10	the	the	DET
cana-3469	13	11	most	most	ADV
cana-3469	13	12	accurate	accurate	ADJ
cana-3469	13	13	prediction	prediction	NOUN
cana-3469	13	14	model	model	NOUN
cana-3469	13	15	.	.	PUNCT
cana-3469	14	1	keywords	keyword	NOUN
cana-3469	14	2	:	:	PUNCT
cana-3469	14	3	financial	financial	ADJ
cana-3469	14	4	market	market	NOUN
cana-3469	14	5	,	,	PUNCT
cana-3469	14	6	exchange	exchange	NOUN
cana-3469	14	7	rate	rate	NOUN
cana-3469	14	8	,	,	PUNCT
cana-3469	14	9	lstm	lstm	PROPN
cana-3469	14	10	,	,	PUNCT
cana-3469	14	11	stlstm	stlstm	NOUN
cana-3469	14	12	,	,	PUNCT
cana-3469	14	13	svr	svr	PROPN
cana-3469	14	14	.	.	PROPN
cana-3469	15	1	1	1	NUM
cana-3469	15	2	.	.	X
cana-3469	15	3	introduction	introduction	NOUN
cana-3469	15	4	the	the	DET
cana-3469	15	5	importance	importance	NOUN
cana-3469	15	6	of	of	ADP
cana-3469	15	7	the	the	DET
cana-3469	15	8	exchange	exchange	NOUN
cana-3469	15	9	rate	rate	NOUN
cana-3469	15	10	in	in	ADP
cana-3469	15	11	the	the	DET
cana-3469	15	12	international	international	ADJ
cana-3469	15	13	financial	financial	ADJ
cana-3469	15	14	market	market	NOUN
cana-3469	15	15	is	be	AUX
cana-3469	15	16	growing	grow	VERB
cana-3469	15	17	as	as	SCONJ
cana-3469	15	18	it	it	PRON
cana-3469	15	19	impacts	impact	VERB
cana-3469	15	20	economies	economy	NOUN
cana-3469	15	21	throughout	throughout	ADP
cana-3469	15	22	the	the	DET
cana-3469	15	23	world	world	NOUN
cana-3469	16	1	[	[	X
cana-3469	16	2	1	1	NUM
cana-3469	16	3	]	]	PUNCT
cana-3469	16	4	.	.	PUNCT
cana-3469	17	1	foreign	foreign	ADJ
cana-3469	17	2	commerce	commerce	PROPN
cana-3469	17	3	and	and	CCONJ
cana-3469	17	4	national	national	ADJ
cana-3469	17	5	economic	economic	ADJ
cana-3469	17	6	growth	growth	NOUN
cana-3469	17	7	are	be	AUX
cana-3469	17	8	both	both	PRON
cana-3469	17	9	negatively	negatively	ADV
cana-3469	17	10	impacted	impact	VERB
cana-3469	17	11	when	when	SCONJ
cana-3469	17	12	the	the	DET
cana-3469	17	13	usd	usd	NOUN
cana-3469	17	14	exchange	exchange	NOUN
cana-3469	17	15	rate	rate	NOUN
cana-3469	17	16	volatility	volatility	NOUN
cana-3469	17	17	ranges	range	VERB
cana-3469	17	18	beyond	beyond	ADP
cana-3469	17	19	a	a	DET
cana-3469	17	20	certain	certain	ADJ
cana-3469	17	21	level	level	NOUN
cana-3469	17	22	[	[	X
cana-3469	17	23	2	2	NUM
cana-3469	17	24	]	]	PUNCT
cana-3469	17	25	.	.	PUNCT
cana-3469	18	1	researching	research	VERB
cana-3469	18	2	accurate	accurate	ADJ
cana-3469	18	3	usd	usd	NOUN
cana-3469	18	4	exchange	exchange	NOUN
cana-3469	18	5	rate	rate	NOUN
cana-3469	18	6	forecasts	forecast	NOUN
cana-3469	18	7	is	be	AUX
cana-3469	18	8	,	,	PUNCT
cana-3469	18	9	hence	hence	ADV
cana-3469	18	10	,	,	PUNCT
cana-3469	18	11	of	of	ADP
cana-3469	18	12	paramount	paramount	ADJ
cana-3469	18	13	importance	importance	NOUN
cana-3469	19	1	[	[	X
cana-3469	19	2	3	3	NUM
cana-3469	19	3	-	-	SYM
cana-3469	19	4	5	5	NUM
cana-3469	19	5	]	]	PUNCT
cana-3469	19	6	.	.	PUNCT
cana-3469	20	1	investors	investor	NOUN
cana-3469	20	2	may	may	AUX
cana-3469	20	3	understand	understand	VERB
cana-3469	20	4	the	the	DET
cana-3469	20	5	right	right	ADJ
cana-3469	20	6	trading	trading	NOUN
cana-3469	20	7	time	time	NOUN
cana-3469	20	8	and	and	CCONJ
cana-3469	20	9	make	make	VERB
cana-3469	20	10	more	more	ADJ
cana-3469	20	11	money	money	NOUN
cana-3469	20	12	if	if	SCONJ
cana-3469	20	13	they	they	PRON
cana-3469	20	14	correctly	correctly	ADV
cana-3469	20	15	analyse	analyse	VERB
cana-3469	20	16	the	the	DET
cana-3469	20	17	foreign	foreign	ADJ
cana-3469	20	18	exchange	exchange	NOUN
cana-3469	20	19	market	market	NOUN
cana-3469	20	20	[	[	X
cana-3469	20	21	6	6	NUM
cana-3469	20	22	]	]	PUNCT
cana-3469	20	23	.	.	PUNCT
cana-3469	21	1	from	from	ADP
cana-3469	21	2	the	the	DET
cana-3469	21	3	government	government	NOUN
cana-3469	21	4	's	's	PART
cana-3469	21	5	perspective	perspective	NOUN
cana-3469	21	6	,	,	PUNCT
cana-3469	21	7	accurate	accurate	ADJ
cana-3469	21	8	predictions	prediction	NOUN
cana-3469	21	9	of	of	ADP
cana-3469	21	10	future	future	ADJ
cana-3469	21	11	exchange	exchange	NOUN
cana-3469	21	12	rates	rate	NOUN
cana-3469	21	13	serve	serve	VERB
cana-3469	21	14	as	as	ADP
cana-3469	21	15	a	a	DET
cana-3469	21	16	foundation	foundation	NOUN
cana-3469	21	17	for	for	ADP
cana-3469	21	18	relevant	relevant	ADJ
cana-3469	21	19	administrative	administrative	ADJ
cana-3469	21	20	departments	department	NOUN
cana-3469	21	21	,	,	PUNCT
cana-3469	21	22	aid	aid	NOUN
cana-3469	21	23	in	in	ADP
cana-3469	21	24	reallocating	reallocate	VERB
cana-3469	21	25	government	government	NOUN
cana-3469	21	26	resources	resource	NOUN
cana-3469	21	27	[	[	X
cana-3469	21	28	7	7	NUM
cana-3469	21	29	]	]	PUNCT
cana-3469	21	30	,	,	PUNCT
cana-3469	21	31	stabilize	stabilize	VERB
cana-3469	21	32	the	the	DET
cana-3469	21	33	financial	financial	ADJ
cana-3469	21	34	market	market	NOUN
cana-3469	21	35	and	and	CCONJ
cana-3469	21	36	alleviate	alleviate	VERB
cana-3469	21	37	economic	economic	ADJ
cana-3469	21	38	pressures	pressure	NOUN
cana-3469	21	39	caused	cause	VERB
cana-3469	21	40	by	by	ADP
cana-3469	21	41	extreme	extreme	ADJ
cana-3469	21	42	fluctuations	fluctuation	NOUN
cana-3469	21	43	in	in	ADP
cana-3469	21	44	the	the	DET
cana-3469	21	45	exchange	exchange	NOUN
cana-3469	21	46	rate	rate	NOUN
cana-3469	21	47	[	[	X
cana-3469	21	48	8	8	NUM
cana-3469	21	49	-	-	SYM
cana-3469	21	50	10	10	NUM
cana-3469	21	51	]	]	PUNCT
cana-3469	21	52	.	.	PUNCT
cana-3469	22	1	there	there	PRON
cana-3469	22	2	are	be	VERB
cana-3469	22	3	several	several	ADJ
cana-3469	22	4	features	feature	NOUN
cana-3469	22	5	shared	share	VERB
cana-3469	22	6	by	by	ADP
cana-3469	22	7	the	the	DET
cana-3469	22	8	usd	usd	PROPN
cana-3469	22	9	exchange	exchange	NOUN
cana-3469	22	10	rate	rate	NOUN
cana-3469	22	11	[	[	X
cana-3469	22	12	11	11	NUM
cana-3469	22	13	]	]	PUNCT
cana-3469	22	14	,	,	PUNCT
cana-3469	22	15	including	include	VERB
cana-3469	22	16	long	long	ADJ
cana-3469	22	17	-	-	PUNCT
cana-3469	22	18	term	term	NOUN
cana-3469	22	19	correlation	correlation	NOUN
cana-3469	22	20	,	,	PUNCT
cana-3469	22	21	nonstationarity	nonstationarity	NOUN
cana-3469	22	22	,	,	PUNCT
cana-3469	22	23	uncertainty	uncertainty	NOUN
cana-3469	22	24	,	,	PUNCT
cana-3469	22	25	and	and	CCONJ
cana-3469	22	26	non	non	ADJ
cana-3469	22	27	-	-	NOUN
cana-3469	22	28	linearity	linearity	NOUN
cana-3469	22	29	.	.	PUNCT
cana-3469	23	1	it	it	PRON
cana-3469	23	2	is	be	AUX
cana-3469	23	3	challenging	challenge	VERB
cana-3469	23	4	to	to	PART
cana-3469	23	5	make	make	VERB
cana-3469	23	6	good	good	ADJ
cana-3469	23	7	predictions	prediction	NOUN
cana-3469	23	8	with	with	ADP
cana-3469	23	9	only	only	ADV
cana-3469	23	10	one	one	NUM
cana-3469	23	11	neural	neural	ADJ
cana-3469	23	12	network	network	NOUN
cana-3469	23	13	[	[	X
cana-3469	23	14	12	12	NUM
cana-3469	23	15	-	-	SYM
cana-3469	23	16	15	15	NUM
cana-3469	23	17	]	]	PUNCT
cana-3469	23	18	.	.	PUNCT
cana-3469	24	1	so	so	ADV
cana-3469	24	2	,	,	PUNCT
cana-3469	24	3	to	to	PART
cana-3469	24	4	anticipate	anticipate	VERB
cana-3469	24	5	the	the	DET
cana-3469	24	6	usd	usd	NOUN
cana-3469	24	7	exchange	exchange	NOUN
cana-3469	24	8	rate	rate	NOUN
cana-3469	24	9	,	,	PUNCT
cana-3469	24	10	this	this	DET
cana-3469	24	11	research	research	NOUN
cana-3469	24	12	proposes	propose	VERB
cana-3469	24	13	a	a	DET
cana-3469	24	14	cnnstlstmam	cnnstlstmam	NOUN
cana-3469	24	15	model	model	NOUN
cana-3469	24	16	.	.	PUNCT
cana-3469	25	1	the	the	DET
cana-3469	25	2	data	datum	NOUN
cana-3469	25	3	utilized	utilize	VERB
cana-3469	25	4	for	for	ADP
cana-3469	25	5	this	this	DET
cana-3469	25	6	paper	paper	NOUN
cana-3469	25	7	's	's	PART
cana-3469	25	8	experiments	experiment	NOUN
cana-3469	25	9	include	include	VERB
cana-3469	25	10	the	the	DET
cana-3469	25	11	usd	usd	NOUN
cana-3469	25	12	rate	rate	NOUN
cana-3469	25	13	of	of	ADP
cana-3469	25	14	exchange	exchange	NOUN
cana-3469	25	15	from	from	ADP
cana-3469	25	16	june	june	PROPN
cana-3469	25	17	4	4	NUM
cana-3469	25	18	,	,	PUNCT
cana-3469	25	19	2007	2007	NUM
cana-3469	25	20	,	,	PUNCT
cana-3469	25	21	to	to	ADP
cana-3469	25	22	dec	dec	PROPN
cana-3469	25	23	.	.	PROPN
cana-3469	25	24	31	31	NUM
cana-3469	25	25	,	,	PUNCT
cana-3469	25	26	2022	2022	NUM
cana-3469	25	27	,	,	PUNCT
cana-3469	25	28	as	as	ADV
cana-3469	25	29	well	well	ADV
cana-3469	25	30	as	as	ADP
cana-3469	25	31	the	the	DET
cana-3469	25	32	dow	dow	PROPN
cana-3469	25	33	jones	jones	PROPN
cana-3469	25	34	industrial	industrial	PROPN
cana-3469	25	35	average	average	PROPN
cana-3469	25	36	(	(	PUNCT
cana-3469	25	37	djia	djia	PROPN
cana-3469	25	38	)	)	PUNCT
cana-3469	25	39	,	,	PUNCT
cana-3469	25	40	the	the	DET
cana-3469	25	41	closing	close	VERB
cana-3469	25	42	prices	price	NOUN
cana-3469	25	43	of	of	ADP
cana-3469	25	44	the	the	DET
cana-3469	25	45	shanghai	shanghai	PROPN
cana-3469	25	46	composite	composite	PROPN
cana-3469	25	47	index	index	NOUN
cana-3469	25	48	(	(	PUNCT
cana-3469	25	49	sci	sci	PROPN
cana-3469	25	50	)	)	PUNCT
cana-3469	26	1	[	[	X
cana-3469	26	2	16	16	NUM
cana-3469	26	3	]	]	PUNCT
cana-3469	26	4	,	,	PUNCT
cana-3469	26	5	the	the	DET
cana-3469	26	6	s	s	X
cana-3469	26	7	and	and	CCONJ
cana-3469	26	8	p	p	ADJ
cana-3469	26	9	global	global	ADJ
cana-3469	26	10	oil	oil	NOUN
cana-3469	26	11	index	index	NOUN
cana-3469	26	12	[	[	X
cana-3469	26	13	17	17	NUM
cana-3469	26	14	]	]	PUNCT
cana-3469	26	15	,	,	PUNCT
cana-3469	26	16	the	the	DET
cana-3469	26	17	gold	gold	NOUN
cana-3469	26	18	spot	spot	NOUN
cana-3469	26	19	(	(	PUNCT
cana-3469	26	20	gs	gs	NOUN
cana-3469	26	21	)	)	PUNCT
cana-3469	26	22	and	and	CCONJ
cana-3469	26	23	the	the	DET
cana-3469	26	24	usd	usd	NOUN
cana-3469	26	25	index	index	NOUN
cana-3469	26	26	(	(	PUNCT
cana-3469	26	27	usdi	usdi	NOUN
cana-3469	26	28	)	)	PUNCT
cana-3469	26	29	.	.	PUNCT
cana-3469	27	1	the	the	DET
cana-3469	27	2	stlstm	stlstm	NOUN
cana-3469	27	3	,	,	PUNCT
cana-3469	27	4	am	be	AUX
cana-3469	27	5	,	,	PUNCT
cana-3469	27	6	and	and	CCONJ
cana-3469	27	7	cnn	cnn	PROPN
cana-3469	27	8	components	component	NOUN
cana-3469	27	9	form	form	VERB
cana-3469	27	10	the	the	DET
cana-3469	27	11	model	model	NOUN
cana-3469	27	12	's	's	PART
cana-3469	27	13	core	core	NOUN
cana-3469	27	14	.	.	PUNCT
cana-3469	28	1	by	by	ADP
cana-3469	28	2	using	use	VERB
cana-3469	28	3	cnn	cnn	PROPN
cana-3469	28	4	,	,	PUNCT
cana-3469	28	5	the	the	DET
cana-3469	28	6	eigenvalues	eigenvalue	NOUN
cana-3469	28	7	from	from	ADP
cana-3469	28	8	the	the	DET
cana-3469	28	9	experimental	experimental	ADJ
cana-3469	28	10	data	datum	NOUN
cana-3469	28	11	may	may	AUX
cana-3469	28	12	be	be	AUX
cana-3469	28	13	retrieved	retrieve	VERB
cana-3469	28	14	[	[	PUNCT
cana-3469	28	15	18–20	18–20	NUM
cana-3469	28	16	]	]	PUNCT
cana-3469	28	17	.	.	PUNCT
cana-3469	29	1	this	this	DET
cana-3469	29	2	study	study	NOUN
cana-3469	29	3	presents	present	VERB
cana-3469	29	4	a	a	DET
cana-3469	29	5	new	new	ADJ
cana-3469	29	6	stlstm	stlstm	NOUN
cana-3469	29	7	approach	approach	NOUN
cana-3469	29	8	[	[	X
cana-3469	29	9	21	21	NUM
cana-3469	29	10	]	]	PUNCT
cana-3469	29	11	to	to	ADP
cana-3469	29	12	communications	communication	NOUN
cana-3469	29	13	on	on	ADP
cana-3469	29	14	applied	apply	VERB
cana-3469	29	15	nonlinear	nonlinear	ADJ
cana-3469	29	16	analysis	analysis	NOUN
cana-3469	29	17	issn	issn	NOUN
cana-3469	29	18	:	:	PUNCT
cana-3469	29	19	1074	1074	NUM
cana-3469	29	20	-	-	PUNCT
cana-3469	29	21	133x	133x	NUM
cana-3469	29	22	vol	vol	NOUN
cana-3469	29	23	32	32	NUM
cana-3469	29	24	no	no	NOUN
cana-3469	29	25	.	.	PUNCT
cana-3469	30	1	7s	7	NOUN
cana-3469	30	2	(	(	PUNCT
cana-3469	30	3	2025	2025	NUM
cana-3469	30	4	)	)	PUNCT
cana-3469	30	5	620	620	NUM
cana-3469	31	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3469	31	2	improve	improve	VERB
cana-3469	31	3	the	the	DET
cana-3469	31	4	lstm	lstm	ADJ
cana-3469	31	5	internal	internal	ADJ
cana-3469	31	6	structure	structure	NOUN
cana-3469	31	7	and	and	CCONJ
cana-3469	31	8	better	well	ADV
cana-3469	31	9	discover	discover	VERB
cana-3469	31	10	the	the	DET
cana-3469	31	11	link	link	NOUN
cana-3469	31	12	among	among	ADP
cana-3469	31	13	eigenvalues	eigenvalues	PROPN
cana-3469	31	14	[	[	X
cana-3469	31	15	22	22	NUM
cana-3469	31	16	]	]	PUNCT
cana-3469	31	17	.	.	PUNCT
cana-3469	32	1	am	be	AUX
cana-3469	32	2	is	be	AUX
cana-3469	32	3	an	an	DET
cana-3469	32	4	appropriate	appropriate	ADJ
cana-3469	32	5	mechanism	mechanism	NOUN
cana-3469	32	6	for	for	ADP
cana-3469	32	7	deducing	deduce	VERB
cana-3469	32	8	the	the	DET
cana-3469	32	9	mapping	mapping	NOUN
cana-3469	32	10	connection	connection	NOUN
cana-3469	32	11	between	between	ADP
cana-3469	32	12	different	different	ADJ
cana-3469	32	13	types	type	NOUN
cana-3469	32	14	of	of	ADP
cana-3469	32	15	data	datum	NOUN
cana-3469	32	16	[	[	X
cana-3469	32	17	23	23	NUM
cana-3469	32	18	]	]	PUNCT
cana-3469	32	19	.	.	PUNCT
cana-3469	33	1	it	it	PRON
cana-3469	33	2	is	be	AUX
cana-3469	33	3	capable	capable	ADJ
cana-3469	33	4	of	of	ADP
cana-3469	33	5	capturing	capture	VERB
cana-3469	33	6	a	a	DET
cana-3469	33	7	huge	huge	ADJ
cana-3469	33	8	number	number	NOUN
cana-3469	33	9	of	of	ADP
cana-3469	33	10	eigenvalues	eigenvalue	NOUN
cana-3469	33	11	and	and	CCONJ
cana-3469	33	12	selecting	select	VERB
cana-3469	33	13	the	the	DET
cana-3469	33	14	most	most	ADV
cana-3469	33	15	important	important	ADJ
cana-3469	33	16	ones	one	NOUN
cana-3469	33	17	for	for	ADP
cana-3469	33	18	the	the	DET
cana-3469	33	19	present	present	ADJ
cana-3469	33	20	job	job	NOUN
cana-3469	34	1	[	[	X
cana-3469	34	2	24	24	NUM
cana-3469	34	3	]	]	PUNCT
cana-3469	34	4	.	.	PUNCT
cana-3469	35	1	the	the	DET
cana-3469	35	2	cnn	cnn	PROPN
cana-3469	35	3	-	-	PUNCT
cana-3469	35	4	stlstm	stlstm	NOUN
cana-3469	35	5	to	to	PART
cana-3469	35	6	am	am	VERB
cana-3469	35	7	is	be	AUX
cana-3469	35	8	compared	compare	VERB
cana-3469	35	9	against	against	ADP
cana-3469	35	10	the	the	DET
cana-3469	35	11	svr	svr	PROPN
cana-3469	36	1	[	[	X
cana-3469	36	2	25	25	NUM
cana-3469	36	3	]	]	PUNCT
cana-3469	36	4	,	,	PUNCT
cana-3469	36	5	cnn	cnn	PROPN
cana-3469	36	6	network	network	NOUN
cana-3469	36	7	,	,	PUNCT
cana-3469	36	8	grulstm	grulstm	NOUN
cana-3469	36	9	,	,	PUNCT
cana-3469	36	10	lstm	lstm	PROPN
cana-3469	36	11	,	,	PUNCT
cana-3469	36	12	cnnlstm	cnnlstm	NOUN
cana-3469	36	13	,	,	PUNCT
cana-3469	36	14	and	and	CCONJ
cana-3469	36	15	cnn	cnn	PROPN
cana-3469	36	16	-	-	PUNCT
cana-3469	36	17	lstm	lstm	PROPN
cana-3469	36	18	to	to	PART
cana-3469	36	19	am	am	VERB
cana-3469	36	20	in	in	ADP
cana-3469	36	21	this	this	DET
cana-3469	36	22	study	study	NOUN
cana-3469	36	23	.	.	PUNCT
cana-3469	37	1	the	the	DET
cana-3469	37	2	main	main	ADJ
cana-3469	37	3	points	point	NOUN
cana-3469	37	4	of	of	ADP
cana-3469	37	5	this	this	DET
cana-3469	37	6	article	article	NOUN
cana-3469	37	7	are	be	AUX
cana-3469	37	8	these	these	PRON
cana-3469	37	9	:	:	PUNCT
cana-3469	37	10	•	•	ADP
cana-3469	37	11	an	an	DET
cana-3469	37	12	updated	update	VERB
cana-3469	37	13	stlstm	stlstm	NOUN
cana-3469	37	14	model	model	NOUN
cana-3469	37	15	is	be	AUX
cana-3469	37	16	suggested	suggest	VERB
cana-3469	37	17	by	by	ADP
cana-3469	37	18	enhancing	enhance	VERB
cana-3469	37	19	the	the	DET
cana-3469	37	20	lstm	lstm	PROPN
cana-3469	37	21	's	's	PART
cana-3469	37	22	interior	interior	ADJ
cana-3469	37	23	structure	structure	NOUN
cana-3469	37	24	.	.	PUNCT
cana-3469	38	1	the	the	DET
cana-3469	38	2	function	function	NOUN
cana-3469	38	3	tanh	tanh	PROPN
cana-3469	38	4	plus	plus	CCONJ
cana-3469	38	5	0.2	0.2	NUM
cana-3469	38	6	is	be	AUX
cana-3469	38	7	used	use	VERB
cana-3469	38	8	.	.	PUNCT
cana-3469	39	1	•	•	NOUN
cana-3469	39	2	utilizing	utilize	VERB
cana-3469	39	3	data	datum	NOUN
cana-3469	39	4	from	from	ADP
cana-3469	39	5	djia	djia	PROPN
cana-3469	39	6	,	,	PUNCT
cana-3469	39	7	sci	sci	PROPN
cana-3469	39	8	,	,	PUNCT
cana-3469	39	9	goi	goi	PROPN
cana-3469	39	10	,	,	PUNCT
cana-3469	39	11	gs	gs	PROPN
cana-3469	39	12	and	and	CCONJ
cana-3469	39	13	usdi	usdi	NOUN
cana-3469	39	14	,	,	PUNCT
cana-3469	39	15	this	this	DET
cana-3469	39	16	research	research	NOUN
cana-3469	39	17	proposes	propose	VERB
cana-3469	39	18	a	a	DET
cana-3469	39	19	cnn	cnn	PROPN
cana-3469	39	20	-	-	PUNCT
cana-3469	39	21	stlstmam	stlstmam	NOUN
cana-3469	39	22	method	method	NOUN
cana-3469	39	23	to	to	PART
cana-3469	39	24	predict	predict	VERB
cana-3469	39	25	the	the	DET
cana-3469	39	26	usd	usd	PROPN
cana-3469	39	27	exchange	exchange	NOUN
cana-3469	39	28	rate	rate	NOUN
cana-3469	39	29	's	's	PART
cana-3469	39	30	closing	closing	NOUN
cana-3469	39	31	price	price	NOUN
cana-3469	39	32	for	for	ADP
cana-3469	39	33	the	the	DET
cana-3469	39	34	next	next	ADJ
cana-3469	39	35	trading	trading	NOUN
cana-3469	39	36	day	day	NOUN
cana-3469	39	37	.	.	PUNCT
cana-3469	40	1	•	•	NOUN
cana-3469	40	2	this	this	DET
cana-3469	40	3	study	study	NOUN
cana-3469	40	4	uses	use	VERB
cana-3469	40	5	experimental	experimental	ADJ
cana-3469	40	6	comparisons	comparison	NOUN
cana-3469	40	7	to	to	PART
cana-3469	40	8	examine	examine	VERB
cana-3469	40	9	the	the	DET
cana-3469	40	10	six	six	NUM
cana-3469	40	11	exchange	exchange	NOUN
cana-3469	40	12	rate	rate	NOUN
cana-3469	40	13	prediction	prediction	NOUN
cana-3469	40	14	methods	method	NOUN
cana-3469	40	15	,	,	PUNCT
cana-3469	40	16	including	include	VERB
cana-3469	40	17	the	the	DET
cana-3469	40	18	cnn	cnn	PROPN
cana-3469	40	19	-	-	PUNCT
cana-3469	40	20	stlstm	stlstm	NOUN
cana-3469	40	21	-	-	PUNCT
cana-3469	40	22	am	am	NOUN
cana-3469	40	23	method	method	NOUN
cana-3469	40	24	.	.	PUNCT
cana-3469	41	1	the	the	DET
cana-3469	41	2	cnn	cnn	PROPN
cana-3469	41	3	-	-	PUNCT
cana-3469	41	4	stlstm	stlstm	NOUN
cana-3469	41	5	-	-	PUNCT
cana-3469	41	6	am	am	NOUN
cana-3469	41	7	model	model	NOUN
cana-3469	41	8	outperformed	outperform	VERB
cana-3469	41	9	the	the	DET
cana-3469	41	10	others	other	NOUN
cana-3469	41	11	in	in	ADP
cana-3469	41	12	terms	term	NOUN
cana-3469	41	13	of	of	ADP
cana-3469	41	14	predicting	predict	VERB
cana-3469	41	15	accuracy	accuracy	NOUN
cana-3469	41	16	and	and	CCONJ
cana-3469	41	17	error	error	NOUN
cana-3469	41	18	rate	rate	NOUN
cana-3469	41	19	,	,	PUNCT
cana-3469	41	20	according	accord	VERB
cana-3469	41	21	to	to	ADP
cana-3469	41	22	the	the	DET
cana-3469	41	23	findings	finding	NOUN
cana-3469	41	24	of	of	ADP
cana-3469	41	25	the	the	DET
cana-3469	41	26	experiments	experiment	NOUN
cana-3469	41	27	.	.	PUNCT
cana-3469	42	1	the	the	DET
cana-3469	42	2	following	follow	VERB
cana-3469	42	3	is	be	AUX
cana-3469	42	4	the	the	DET
cana-3469	42	5	outline	outline	NOUN
cana-3469	42	6	of	of	ADP
cana-3469	42	7	the	the	DET
cana-3469	42	8	parts	part	NOUN
cana-3469	42	9	that	that	PRON
cana-3469	42	10	make	make	VERB
cana-3469	42	11	up	up	ADP
cana-3469	42	12	this	this	DET
cana-3469	42	13	paper	paper	NOUN
cana-3469	42	14	:	:	PUNCT
cana-3469	42	15	section	section	NOUN
cana-3469	42	16	2	2	NUM
cana-3469	42	17	provides	provide	VERB
cana-3469	42	18	a	a	DET
cana-3469	42	19	literature	literature	NOUN
cana-3469	42	20	survey	survey	NOUN
cana-3469	42	21	to	to	PART
cana-3469	42	22	stlstm	stlstm	PROPN
cana-3469	42	23	,	,	PUNCT
cana-3469	42	24	cnn	cnn	PROPN
cana-3469	42	25	-	-	PUNCT
cana-3469	42	26	stlstm	stlstm	NOUN
cana-3469	42	27	to	to	PART
cana-3469	42	28	am	am	VERB
cana-3469	42	29	and	and	CCONJ
cana-3469	42	30	am	be	AUX
cana-3469	42	31	.	.	PUNCT
cana-3469	43	1	the	the	DET
cana-3469	43	2	research	research	NOUN
cana-3469	43	3	gap	gap	NOUN
cana-3469	43	4	,	,	PUNCT
cana-3469	43	5	experimental	experimental	ADJ
cana-3469	43	6	setup	setup	NOUN
cana-3469	43	7	,	,	PUNCT
cana-3469	43	8	procedures	procedure	NOUN
cana-3469	43	9	,	,	PUNCT
cana-3469	43	10	information	information	NOUN
cana-3469	43	11	,	,	PUNCT
cana-3469	43	12	data	datum	NOUN
cana-3469	43	13	source	source	NOUN
cana-3469	43	14	of	of	ADP
cana-3469	43	15	information	information	NOUN
cana-3469	43	16	,	,	PUNCT
cana-3469	43	17	data	datum	NOUN
cana-3469	43	18	preprocessing	preprocessing	NOUN
cana-3469	43	19	,	,	PUNCT
cana-3469	43	20	parameters	parameter	NOUN
cana-3469	43	21	,	,	PUNCT
cana-3469	43	22	findings	finding	NOUN
cana-3469	43	23	,	,	PUNCT
cana-3469	43	24	and	and	CCONJ
cana-3469	43	25	analysis	analysis	NOUN
cana-3469	43	26	are	be	AUX
cana-3469	43	27	presented	present	VERB
cana-3469	43	28	in	in	ADP
cana-3469	43	29	section	section	NOUN
cana-3469	43	30	3	3	NUM
cana-3469	43	31	.	.	PUNCT
cana-3469	43	32	section	section	NOUN
cana-3469	43	33	4	4	NUM
cana-3469	43	34	provides	provide	VERB
cana-3469	43	35	a	a	DET
cana-3469	43	36	concise	concise	ADJ
cana-3469	43	37	summary	summary	NOUN
cana-3469	43	38	of	of	ADP
cana-3469	43	39	the	the	DET
cana-3469	43	40	paper	paper	NOUN
cana-3469	43	41	's	's	PART
cana-3469	43	42	results	result	NOUN
cana-3469	43	43	and	and	CCONJ
cana-3469	43	44	suggests	suggest	VERB
cana-3469	43	45	directions	direction	NOUN
cana-3469	43	46	for	for	ADP
cana-3469	43	47	further	further	ADJ
cana-3469	43	48	research	research	NOUN
cana-3469	43	49	.	.	PUNCT
cana-3469	44	1	2	2	X
cana-3469	44	2	.	.	X
cana-3469	44	3	literature	literature	NOUN
cana-3469	44	4	survey	survey	NOUN
cana-3469	44	5	:	:	PUNCT
cana-3469	44	6	the	the	DET
cana-3469	44	7	use	use	NOUN
cana-3469	44	8	of	of	ADP
cana-3469	44	9	long	long	ADJ
cana-3469	44	10	short	short	ADJ
cana-3469	44	11	-	-	PUNCT
cana-3469	44	12	term	term	NOUN
cana-3469	44	13	memory	memory	NOUN
cana-3469	44	14	(	(	PUNCT
cana-3469	44	15	lstm	lstm	NOUN
cana-3469	44	16	)	)	PUNCT
cana-3469	44	17	networks	network	NOUN
cana-3469	44	18	has	have	AUX
cana-3469	44	19	grown	grow	VERB
cana-3469	44	20	in	in	ADP
cana-3469	44	21	importance	importance	NOUN
cana-3469	44	22	for	for	ADP
cana-3469	44	23	forecasting	forecast	VERB
cana-3469	44	24	financial	financial	ADJ
cana-3469	44	25	market	market	NOUN
cana-3469	44	26	movements	movement	NOUN
cana-3469	44	27	,	,	PUNCT
cana-3469	44	28	especially	especially	ADV
cana-3469	44	29	to	to	PART
cana-3469	44	30	simulate	simulate	VERB
cana-3469	44	31	the	the	DET
cana-3469	44	32	us	us	PROPN
cana-3469	44	33	dollar	dollar	NOUN
cana-3469	44	34	's	's	PART
cana-3469	44	35	ebb	ebb	NOUN
cana-3469	44	36	and	and	CCONJ
cana-3469	44	37	flow	flow	NOUN
cana-3469	44	38	.	.	PUNCT
cana-3469	45	1	despite	despite	SCONJ
cana-3469	45	2	their	their	PRON
cana-3469	45	3	widespread	widespread	ADJ
cana-3469	45	4	usage	usage	NOUN
cana-3469	45	5	,	,	PUNCT
cana-3469	45	6	traditional	traditional	ADJ
cana-3469	45	7	methods	method	NOUN
cana-3469	45	8	like	like	ADP
cana-3469	45	9	as	as	SCONJ
cana-3469	45	10	arima	arima	PROPN
cana-3469	45	11	and	and	CCONJ
cana-3469	45	12	garch	garch	NOUN
cana-3469	45	13	are	be	AUX
cana-3469	45	14	often	often	ADV
cana-3469	45	15	unable	unable	ADJ
cana-3469	45	16	to	to	PART
cana-3469	45	17	capture	capture	VERB
cana-3469	45	18	the	the	DET
cana-3469	45	19	non	non	ADJ
cana-3469	45	20	-	-	ADJ
cana-3469	45	21	linear	linear	ADJ
cana-3469	45	22	and	and	CCONJ
cana-3469	45	23	temporal	temporal	ADJ
cana-3469	45	24	dynamics	dynamic	NOUN
cana-3469	45	25	that	that	PRON
cana-3469	45	26	are	be	AUX
cana-3469	45	27	intrinsic	intrinsic	ADJ
cana-3469	45	28	to	to	ADP
cana-3469	45	29	financial	financial	ADJ
cana-3469	45	30	time	time	NOUN
cana-3469	45	31	series	series	NOUN
cana-3469	45	32	.	.	PUNCT
cana-3469	46	1	these	these	DET
cana-3469	46	2	more	more	ADV
cana-3469	46	3	conventional	conventional	ADJ
cana-3469	46	4	models	model	NOUN
cana-3469	46	5	have	have	AUX
cana-3469	46	6	been	be	AUX
cana-3469	46	7	surpassed	surpass	VERB
cana-3469	46	8	by	by	ADP
cana-3469	46	9	lstms	lstms	NOUN
cana-3469	46	10	because	because	SCONJ
cana-3469	46	11	of	of	ADP
cana-3469	46	12	their	their	PRON
cana-3469	46	13	superior	superior	ADJ
cana-3469	46	14	performance	performance	NOUN
cana-3469	46	15	in	in	ADP
cana-3469	46	16	retaining	retain	VERB
cana-3469	46	17	long	long	ADJ
cana-3469	46	18	-	-	PUNCT
cana-3469	46	19	term	term	NOUN
cana-3469	46	20	dependencies	dependency	NOUN
cana-3469	46	21	and	and	CCONJ
cana-3469	46	22	mitigating	mitigate	VERB
cana-3469	46	23	vanishing	vanish	VERB
cana-3469	46	24	gradient	gradient	NOUN
cana-3469	46	25	concerns	concern	NOUN
cana-3469	46	26	.	.	PUNCT
cana-3469	47	1	researchers	researcher	NOUN
cana-3469	47	2	have	have	AUX
cana-3469	47	3	shown	show	VERB
cana-3469	47	4	that	that	SCONJ
cana-3469	47	5	by	by	ADP
cana-3469	47	6	dynamically	dynamically	ADV
cana-3469	47	7	weighting	weight	VERB
cana-3469	47	8	important	important	ADJ
cana-3469	47	9	characteristics	characteristic	NOUN
cana-3469	47	10	,	,	PUNCT
cana-3469	47	11	hybrid	hybrid	NOUN
cana-3469	47	12	models	model	NOUN
cana-3469	47	13	that	that	PRON
cana-3469	47	14	combine	combine	VERB
cana-3469	47	15	lstm	lstm	NOUN
cana-3469	47	16	with	with	ADP
cana-3469	47	17	feature	feature	NOUN
cana-3469	47	18	extraction	extraction	NOUN
cana-3469	47	19	approaches	approach	NOUN
cana-3469	47	20	,	,	PUNCT
cana-3469	47	21	such	such	ADJ
cana-3469	47	22	as	as	ADP
cana-3469	47	23	convolutional	convolutional	ADJ
cana-3469	47	24	neural	neural	ADJ
cana-3469	47	25	networks	network	NOUN
cana-3469	47	26	(	(	PUNCT
cana-3469	47	27	cnn	cnn	PROPN
cana-3469	47	28	)	)	PUNCT
cana-3469	47	29	or	or	CCONJ
cana-3469	47	30	attention	attention	NOUN
cana-3469	47	31	mechanisms	mechanism	NOUN
cana-3469	47	32	(	(	PUNCT
cana-3469	47	33	am	be	AUX
cana-3469	47	34	)	)	PUNCT
cana-3469	47	35	,	,	PUNCT
cana-3469	47	36	greatly	greatly	ADV
cana-3469	47	37	improve	improve	VERB
cana-3469	47	38	prediction	prediction	NOUN
cana-3469	47	39	accuracy	accuracy	NOUN
cana-3469	47	40	.	.	PUNCT
cana-3469	48	1	while	while	SCONJ
cana-3469	48	2	gru	gru	NOUN
cana-3469	48	3	-	-	NOUN
cana-3469	48	4	lstm	lstm	ADJ
cana-3469	48	5	and	and	CCONJ
cana-3469	48	6	cnn	cnn	PROPN
cana-3469	48	7	-	-	PUNCT
cana-3469	48	8	lstm	lstm	NOUN
cana-3469	48	9	-	-	PUNCT
cana-3469	48	10	am	am	NOUN
cana-3469	48	11	are	be	AUX
cana-3469	48	12	useful	useful	ADJ
cana-3469	48	13	variants	variant	NOUN
cana-3469	48	14	for	for	ADP
cana-3469	48	15	simulating	simulate	VERB
cana-3469	48	16	complicated	complicated	ADJ
cana-3469	48	17	market	market	NOUN
cana-3469	48	18	behaviours	behaviour	NOUN
cana-3469	48	19	,	,	PUNCT
cana-3469	48	20	because	because	SCONJ
cana-3469	48	21	they	they	PRON
cana-3469	48	22	rely	rely	VERB
cana-3469	48	23	on	on	ADP
cana-3469	48	24	general	general	ADJ
cana-3469	48	25	activation	activation	NOUN
cana-3469	48	26	functions	function	NOUN
cana-3469	48	27	,	,	PUNCT
cana-3469	48	28	they	they	PRON
cana-3469	48	29	are	be	AUX
cana-3469	48	30	n't	not	PART
cana-3469	48	31	particularly	particularly	ADV
cana-3469	48	32	flexible	flexible	ADJ
cana-3469	48	33	when	when	SCONJ
cana-3469	48	34	it	it	PRON
cana-3469	48	35	comes	come	VERB
cana-3469	48	36	to	to	ADP
cana-3469	48	37	financial	financial	ADJ
cana-3469	48	38	information	information	NOUN
cana-3469	48	39	.	.	PUNCT
cana-3469	49	1	the	the	DET
cana-3469	49	2	current	current	ADJ
cana-3469	49	3	state	state	NOUN
cana-3469	49	4	of	of	ADP
cana-3469	49	5	lstm	lstm	NOUN
cana-3469	49	6	-	-	PUNCT
cana-3469	49	7	based	base	VERB
cana-3469	49	8	techniques	technique	NOUN
cana-3469	49	9	for	for	ADP
cana-3469	49	10	usd	usd	NOUN
cana-3469	49	11	exchange	exchange	NOUN
cana-3469	49	12	rate	rate	NOUN
cana-3469	49	13	prediction	prediction	NOUN
cana-3469	49	14	might	might	AUX
cana-3469	49	15	require	require	VERB
cana-3469	49	16	some	some	DET
cana-3469	49	17	improvement	improvement	NOUN
cana-3469	49	18	,	,	PUNCT
cana-3469	49	19	especially	especially	ADV
cana-3469	49	20	regarding	regard	VERB
cana-3469	49	21	domain	domain	NOUN
cana-3469	49	22	-	-	PUNCT
cana-3469	49	23	specific	specific	ADJ
cana-3469	49	24	adaptations	adaptation	NOUN
cana-3469	49	25	such	such	ADJ
cana-3469	49	26	as	as	ADP
cana-3469	49	27	specialized	specialized	ADJ
cana-3469	49	28	activation	activation	NOUN
cana-3469	49	29	functions	function	NOUN
cana-3469	49	30	or	or	CCONJ
cana-3469	49	31	featureenhancing	featureenhancing	NOUN
cana-3469	49	32	processes	process	NOUN
cana-3469	49	33	.	.	PUNCT
cana-3469	50	1	there	there	PRON
cana-3469	50	2	is	be	VERB
cana-3469	50	3	still	still	ADV
cana-3469	50	4	a	a	DET
cana-3469	50	5	lot	lot	NOUN
cana-3469	50	6	of	of	ADP
cana-3469	50	7	potential	potential	NOUN
cana-3469	50	8	for	for	ADP
cana-3469	50	9	development	development	NOUN
cana-3469	50	10	in	in	ADP
cana-3469	50	11	this	this	DET
cana-3469	50	12	area	area	NOUN
cana-3469	50	13	.	.	PUNCT
cana-3469	51	1	3	3	X
cana-3469	51	2	.	.	X
cana-3469	51	3	research	research	NOUN
cana-3469	51	4	gap	gap	NOUN
cana-3469	51	5	several	several	ADJ
cana-3469	51	6	research	research	NOUN
cana-3469	51	7	gaps	gap	NOUN
cana-3469	51	8	persist	persist	VERB
cana-3469	51	9	in	in	ADP
cana-3469	51	10	adequately	adequately	ADV
cana-3469	51	11	addressing	address	VERB
cana-3469	51	12	the	the	DET
cana-3469	51	13	intricacies	intricacy	NOUN
cana-3469	51	14	of	of	ADP
cana-3469	51	15	usd	usd	NOUN
cana-3469	51	16	exchange	exchange	NOUN
cana-3469	51	17	rate	rate	NOUN
cana-3469	51	18	changes	change	NOUN
cana-3469	51	19	,	,	PUNCT
cana-3469	51	20	despite	despite	SCONJ
cana-3469	51	21	the	the	DET
cana-3469	51	22	extensive	extensive	ADJ
cana-3469	51	23	use	use	NOUN
cana-3469	51	24	of	of	ADP
cana-3469	51	25	longand	longand	PROPN
cana-3469	51	26	short	short	ADJ
cana-3469	51	27	-	-	PUNCT
cana-3469	51	28	term	term	NOUN
cana-3469	51	29	memory	memory	NOUN
cana-3469	51	30	(	(	PUNCT
cana-3469	51	31	lstm	lstm	NOUN
cana-3469	51	32	)	)	PUNCT
cana-3469	51	33	networks	network	NOUN
cana-3469	51	34	in	in	ADP
cana-3469	51	35	financial	financial	ADJ
cana-3469	51	36	market	market	NOUN
cana-3469	51	37	prediction	prediction	NOUN
cana-3469	51	38	.	.	PUNCT
cana-3469	52	1	the	the	DET
cana-3469	52	2	majority	majority	NOUN
cana-3469	52	3	of	of	ADP
cana-3469	52	4	the	the	DET
cana-3469	52	5	existing	exist	VERB
cana-3469	52	6	research	research	NOUN
cana-3469	52	7	makes	make	VERB
cana-3469	52	8	use	use	NOUN
cana-3469	52	9	of	of	ADP
cana-3469	52	10	traditional	traditional	ADJ
cana-3469	52	11	long	long	ADJ
cana-3469	52	12	short	short	ADJ
cana-3469	52	13	-	-	PUNCT
cana-3469	52	14	term	term	NOUN
cana-3469	52	15	memory	memory	NOUN
cana-3469	52	16	(	(	PUNCT
cana-3469	52	17	lstm	lstm	ADJ
cana-3469	52	18	)	)	PUNCT
cana-3469	52	19	designs	design	NOUN
cana-3469	52	20	,	,	PUNCT
cana-3469	52	21	which	which	PRON
cana-3469	52	22	have	have	VERB
cana-3469	52	23	a	a	DET
cana-3469	52	24	hard	hard	ADJ
cana-3469	52	25	time	time	NOUN
cana-3469	52	26	capturing	capture	VERB
cana-3469	52	27	the	the	DET
cana-3469	52	28	complex	complex	ADJ
cana-3469	52	29	features	feature	NOUN
cana-3469	52	30	of	of	ADP
cana-3469	52	31	currency	currency	NOUN
cana-3469	52	32	rate	rate	NOUN
cana-3469	52	33	data	datum	NOUN
cana-3469	52	34	,	,	PUNCT
cana-3469	52	35	including	include	VERB
cana-3469	52	36	its	its	PRON
cana-3469	52	37	non	non	ADJ
cana-3469	52	38	-	-	NOUN
cana-3469	52	39	linearity	linearity	ADJ
cana-3469	52	40	,	,	PUNCT
cana-3469	52	41	non	non	ADJ
cana-3469	52	42	-	-	NOUN
cana-3469	52	43	stationarity	stationarity	ADJ
cana-3469	52	44	,	,	PUNCT
cana-3469	52	45	and	and	CCONJ
cana-3469	52	46	long	long	ADJ
cana-3469	52	47	-	-	PUNCT
cana-3469	52	48	term	term	NOUN
cana-3469	52	49	correlations	correlation	NOUN
cana-3469	52	50	.	.	PUNCT
cana-3469	53	1	despite	despite	SCONJ
cana-3469	53	2	the	the	DET
cana-3469	53	3	promising	promising	ADJ
cana-3469	53	4	results	result	NOUN
cana-3469	53	5	of	of	ADP
cana-3469	53	6	cnn	cnn	PROPN
cana-3469	53	7	-	-	PUNCT
cana-3469	53	8	lstm	lstm	PROPN
cana-3469	53	9	and	and	CCONJ
cana-3469	53	10	attention	attention	NOUN
cana-3469	53	11	-	-	PUNCT
cana-3469	53	12	augmented	augment	VERB
cana-3469	53	13	variations	variation	NOUN
cana-3469	53	14	and	and	CCONJ
cana-3469	53	15	other	other	ADJ
cana-3469	53	16	hybrid	hybrid	ADJ
cana-3469	53	17	models	model	NOUN
cana-3469	53	18	,	,	PUNCT
cana-3469	53	19	there	there	PRON
cana-3469	53	20	has	have	AUX
cana-3469	53	21	been	be	AUX
cana-3469	53	22	little	little	ADJ
cana-3469	53	23	effort	effort	NOUN
cana-3469	53	24	to	to	PART
cana-3469	53	25	optimize	optimize	VERB
cana-3469	53	26	these	these	DET
cana-3469	53	27	models	model	NOUN
cana-3469	53	28	with	with	ADP
cana-3469	53	29	domain	domain	NOUN
cana-3469	53	30	-	-	PUNCT
cana-3469	53	31	specific	specific	ADJ
cana-3469	53	32	improvements	improvement	NOUN
cana-3469	53	33	,	,	PUNCT
cana-3469	53	34	such	such	ADJ
cana-3469	53	35	as	as	ADP
cana-3469	53	36	specialized	specialized	ADJ
cana-3469	53	37	activation	activation	NOUN
cana-3469	53	38	functions	function	NOUN
cana-3469	53	39	or	or	CCONJ
cana-3469	53	40	techniques	technique	NOUN
cana-3469	53	41	to	to	PART
cana-3469	53	42	handle	handle	VERB
cana-3469	53	43	financial	financial	ADJ
cana-3469	53	44	time	time	NOUN
cana-3469	53	45	series	series	NOUN
cana-3469	53	46	more	more	ADV
cana-3469	53	47	effectively	effectively	ADV
cana-3469	53	48	.	.	PUNCT
cana-3469	54	1	the	the	DET
cana-3469	54	2	integration	integration	NOUN
cana-3469	54	3	of	of	ADP
cana-3469	54	4	many	many	ADJ
cana-3469	54	5	economic	economic	ADJ
cana-3469	54	6	indices	index	NOUN
cana-3469	54	7	,	,	PUNCT
cana-3469	54	8	including	include	VERB
cana-3469	54	9	the	the	DET
cana-3469	54	10	djia	djia	PROPN
cana-3469	54	11	,	,	PUNCT
cana-3469	54	12	sci	sci	PROPN
cana-3469	54	13	,	,	PUNCT
cana-3469	54	14	and	and	CCONJ
cana-3469	54	15	worldwide	worldwide	ADJ
cana-3469	54	16	oil	oil	NOUN
cana-3469	54	17	and	and	CCONJ
cana-3469	54	18	gold	gold	NOUN
cana-3469	54	19	indexes	index	NOUN
cana-3469	54	20	,	,	PUNCT
cana-3469	54	21	using	use	VERB
cana-3469	54	22	lstm	lstm	NOUN
cana-3469	54	23	-	-	PUNCT
cana-3469	54	24	based	base	VERB
cana-3469	54	25	networks	network	NOUN
cana-3469	54	26	has	have	AUX
cana-3469	54	27	also	also	ADV
cana-3469	54	28	received	receive	VERB
cana-3469	54	29	limited	limited	ADJ
cana-3469	54	30	attention	attention	NOUN
cana-3469	54	31	.	.	PUNCT
cana-3469	55	1	emerging	emerge	VERB
cana-3469	55	2	hybrid	hybrid	ADJ
cana-3469	55	3	systems	system	NOUN
cana-3469	55	4	like	like	ADP
cana-3469	55	5	cnn	cnn	PROPN
cana-3469	55	6	-	-	PUNCT
cana-3469	55	7	stlstm	stlstm	NOUN
cana-3469	55	8	-	-	PUNCT
cana-3469	55	9	am	am	NOUN
cana-3469	55	10	,	,	PUNCT
cana-3469	55	11	which	which	PRON
cana-3469	55	12	may	may	AUX
cana-3469	55	13	dynamically	dynamically	ADV
cana-3469	55	14	use	use	VERB
cana-3469	55	15	spatial	spatial	ADJ
cana-3469	55	16	and	and	CCONJ
cana-3469	55	17	temporal	temporal	ADJ
cana-3469	55	18	information	information	NOUN
cana-3469	55	19	,	,	PUNCT
cana-3469	55	20	have	have	AUX
cana-3469	55	21	also	also	ADV
cana-3469	55	22	not	not	PART
cana-3469	55	23	been	be	AUX
cana-3469	55	24	thoroughly	thoroughly	ADV
cana-3469	55	25	compared	compare	VERB
cana-3469	55	26	.	.	PUNCT
cana-3469	56	1	if	if	SCONJ
cana-3469	56	2	these	these	DET
cana-3469	56	3	communications	communication	NOUN
cana-3469	56	4	on	on	ADP
cana-3469	56	5	applied	apply	VERB
cana-3469	56	6	nonlinear	nonlinear	ADJ
cana-3469	56	7	analysis	analysis	NOUN
cana-3469	56	8	issn	issn	NOUN
cana-3469	56	9	:	:	PUNCT
cana-3469	56	10	1074	1074	NUM
cana-3469	56	11	-	-	PUNCT
cana-3469	56	12	133x	133x	NUM
cana-3469	56	13	vol	vol	NOUN
cana-3469	56	14	32	32	NUM
cana-3469	56	15	no	no	NOUN
cana-3469	56	16	.	.	PUNCT
cana-3469	57	1	7s	7	NOUN
cana-3469	57	2	(	(	PUNCT
cana-3469	57	3	2025	2025	NUM
cana-3469	57	4	)	)	PUNCT
cana-3469	58	1	621	621	NUM
cana-3469	58	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-3469	58	3	gaps	gap	NOUN
cana-3469	58	4	are	be	AUX
cana-3469	58	5	filled	fill	VERB
cana-3469	58	6	,	,	PUNCT
cana-3469	58	7	models	model	NOUN
cana-3469	58	8	for	for	ADP
cana-3469	58	9	anticipating	anticipate	VERB
cana-3469	58	10	usd	usd	NOUN
cana-3469	58	11	exchange	exchange	NOUN
cana-3469	58	12	rate	rate	NOUN
cana-3469	58	13	changes	change	NOUN
cana-3469	58	14	in	in	ADP
cana-3469	58	15	unstable	unstable	ADJ
cana-3469	58	16	financial	financial	ADJ
cana-3469	58	17	markets	market	NOUN
cana-3469	58	18	will	will	AUX
cana-3469	58	19	be	be	AUX
cana-3469	58	20	more	more	ADV
cana-3469	58	21	accurate	accurate	ADJ
cana-3469	58	22	and	and	CCONJ
cana-3469	58	23	easier	easy	ADJ
cana-3469	58	24	to	to	PART
cana-3469	58	25	understand	understand	VERB
cana-3469	58	26	.	.	PUNCT
cana-3469	59	1	4	4	X
cana-3469	59	2	.	.	X
cana-3469	59	3	methodology	methodology	NOUN
cana-3469	59	4	4.1	4.1	NUM
cana-3469	59	5	a	a	DET
cana-3469	59	6	cnn	cnn	PROPN
cana-3469	59	7	-	-	PUNCT
cana-3469	59	8	stlstm	stlstm	NOUN
cana-3469	59	9	-	-	PUNCT
cana-3469	59	10	am	be	AUX
cana-3469	59	11	convolutional	convolutional	ADJ
cana-3469	59	12	neural	neural	ADJ
cana-3469	59	13	networks	network	NOUN
cana-3469	59	14	can	can	AUX
cana-3469	59	15	aggregate	aggregate	VERB
cana-3469	59	16	and	and	CCONJ
cana-3469	59	17	abstract	abstract	ADJ
cana-3469	59	18	local	local	ADJ
cana-3469	59	19	characteristics	characteristic	NOUN
cana-3469	59	20	from	from	ADP
cana-3469	59	21	input	input	NOUN
cana-3469	59	22	data	datum	NOUN
cana-3469	59	23	into	into	ADP
cana-3469	59	24	high	high	ADJ
cana-3469	59	25	-	-	PUNCT
cana-3469	59	26	level	level	NOUN
cana-3469	59	27	eigenvalues	eigenvalue	NOUN
cana-3469	59	28	.	.	PUNCT
cana-3469	60	1	following	follow	VERB
cana-3469	60	2	feature	feature	NOUN
cana-3469	60	3	extraction	extraction	NOUN
cana-3469	60	4	,	,	PUNCT
cana-3469	60	5	stlstm	stlstm	NOUN
cana-3469	60	6	can	can	AUX
cana-3469	60	7	do	do	VERB
cana-3469	60	8	time	time	NOUN
cana-3469	60	9	-	-	PUNCT
cana-3469	60	10	series	series	NOUN
cana-3469	60	11	forecasting	forecasting	NOUN
cana-3469	60	12	and	and	CCONJ
cana-3469	60	13	track	track	VERB
cana-3469	60	14	the	the	DET
cana-3469	60	15	long	long	ADJ
cana-3469	60	16	-	-	PUNCT
cana-3469	60	17	term	term	NOUN
cana-3469	60	18	relationship	relationship	NOUN
cana-3469	60	19	of	of	ADP
cana-3469	60	20	higher	high	ADJ
cana-3469	60	21	-	-	PUNCT
cana-3469	60	22	level	level	NOUN
cana-3469	60	23	eigenvalues	eigenvalue	NOUN
cana-3469	60	24	.	.	PUNCT
cana-3469	61	1	the	the	DET
cana-3469	61	2	core	core	ADJ
cana-3469	61	3	principle	principle	NOUN
cana-3469	61	4	of	of	ADP
cana-3469	61	5	am	be	AUX
cana-3469	61	6	development	development	NOUN
cana-3469	61	7	is	be	AUX
cana-3469	61	8	to	to	PART
cana-3469	61	9	exclude	exclude	VERB
cana-3469	61	10	irrelevant	irrelevant	ADJ
cana-3469	61	11	data	datum	NOUN
cana-3469	61	12	and	and	CCONJ
cana-3469	61	13	concentrate	concentrate	VERB
cana-3469	61	14	on	on	ADP
cana-3469	61	15	local	local	ADJ
cana-3469	61	16	data	datum	NOUN
cana-3469	61	17	that	that	PRON
cana-3469	61	18	significantly	significantly	ADV
cana-3469	61	19	impacts	impact	VERB
cana-3469	61	20	the	the	DET
cana-3469	61	21	outcome	outcome	NOUN
cana-3469	61	22	.	.	PUNCT
cana-3469	62	1	a	a	DET
cana-3469	62	2	cnnstlstm	cnnstlstm	NOUN
cana-3469	62	3	-	-	PUNCT
cana-3469	62	4	am	am	NOUN
cana-3469	62	5	model	model	NOUN
cana-3469	62	6	is	be	AUX
cana-3469	62	7	constructed	construct	VERB
cana-3469	62	8	to	to	PART
cana-3469	62	9	predict	predict	VERB
cana-3469	62	10	the	the	DET
cana-3469	62	11	usd	usd	NOUN
cana-3469	62	12	exchange	exchange	NOUN
cana-3469	62	13	rate	rate	NOUN
cana-3469	62	14	based	base	VERB
cana-3469	62	15	on	on	ADP
cana-3469	62	16	the	the	DET
cana-3469	62	17	characteristics	characteristic	NOUN
cana-3469	62	18	of	of	ADP
cana-3469	62	19	cnn	cnn	PROPN
cana-3469	62	20	,	,	PUNCT
cana-3469	62	21	stlstm	stlstm	NOUN
cana-3469	62	22	,	,	PUNCT
cana-3469	62	23	and	and	CCONJ
cana-3469	62	24	am	be	AUX
cana-3469	62	25	.	.	PUNCT
cana-3469	63	1	figure	figure	NOUN
cana-3469	63	2	1	1	NUM
cana-3469	63	3	shows	show	VERB
cana-3469	63	4	the	the	DET
cana-3469	63	5	architecture	architecture	NOUN
cana-3469	63	6	of	of	ADP
cana-3469	63	7	cnnstlstm	cnnstlstm	NOUN
cana-3469	63	8	-	-	PUNCT
cana-3469	63	9	am	am	NOUN
cana-3469	63	10	,	,	PUNCT
cana-3469	63	11	which	which	PRON
cana-3469	63	12	consists	consist	VERB
cana-3469	63	13	of	of	ADP
cana-3469	63	14	the	the	DET
cana-3469	63	15	following	follow	VERB
cana-3469	63	16	layers	layer	NOUN
cana-3469	63	17	:	:	PUNCT
cana-3469	63	18	input	input	NOUN
cana-3469	63	19	,	,	PUNCT
cana-3469	63	20	stlstm	stlstm	NOUN
cana-3469	63	21	,	,	PUNCT
cana-3469	63	22	cnn	cnn	PROPN
cana-3469	63	23	,	,	PUNCT
cana-3469	63	24	am	be	AUX
cana-3469	63	25	,	,	PUNCT
cana-3469	63	26	and	and	CCONJ
cana-3469	63	27	output	output	NOUN
cana-3469	63	28	.	.	PUNCT
cana-3469	64	1	the	the	DET
cana-3469	64	2	cnn	cnn	PROPN
cana-3469	64	3	layer	layer	NOUN
cana-3469	64	4	consists	consist	VERB
cana-3469	64	5	of	of	ADP
cana-3469	64	6	two	two	NUM
cana-3469	64	7	layers	layer	NOUN
cana-3469	64	8	:	:	PUNCT
cana-3469	64	9	the	the	DET
cana-3469	64	10	convolutional	convolutional	ADJ
cana-3469	64	11	and	and	CCONJ
cana-3469	64	12	the	the	DET
cana-3469	64	13	pooling	pooling	NOUN
cana-3469	64	14	.	.	PUNCT
cana-3469	65	1	figure	figure	NOUN
cana-3469	65	2	1	1	NUM
cana-3469	65	3	architecture	architecture	NOUN
cana-3469	65	4	of	of	ADP
cana-3469	65	5	cnnstlstm	cnnstlstm	NOUN
cana-3469	65	6	-	-	PUNCT
cana-3469	65	7	am	be	AUX
cana-3469	65	8	4.2	4.2	NUM
cana-3469	65	9	stlstm	stlstm	NOUN
cana-3469	65	10	time	time	NOUN
cana-3469	65	11	-	-	PUNCT
cana-3469	65	12	series	series	NOUN
cana-3469	65	13	forecasting	forecasting	NOUN
cana-3469	65	14	and	and	CCONJ
cana-3469	65	15	natural	natural	ADJ
cana-3469	65	16	language	language	NOUN
cana-3469	65	17	processing	processing	NOUN
cana-3469	65	18	are	be	AUX
cana-3469	65	19	two	two	NUM
cana-3469	65	20	areas	area	NOUN
cana-3469	65	21	where	where	SCONJ
cana-3469	65	22	lstm	lstm	NOUN
cana-3469	65	23	has	have	AUX
cana-3469	65	24	found	find	VERB
cana-3469	65	25	extensive	extensive	ADJ
cana-3469	65	26	usage	usage	NOUN
cana-3469	65	27	and	and	CCONJ
cana-3469	65	28	achieved	achieve	VERB
cana-3469	65	29	notable	notable	ADJ
cana-3469	65	30	results	result	NOUN
cana-3469	65	31	.	.	PUNCT
cana-3469	66	1	the	the	DET
cana-3469	66	2	"	"	PUNCT
cana-3469	66	3	gate	gate	NOUN
cana-3469	66	4	"	"	PUNCT
cana-3469	66	5	structures	structure	NOUN
cana-3469	66	6	and	and	CCONJ
cana-3469	66	7	memory	memory	NOUN
cana-3469	66	8	cells	cell	NOUN
cana-3469	66	9	are	be	AUX
cana-3469	66	10	the	the	DET
cana-3469	66	11	key	key	ADJ
cana-3469	66	12	components	component	NOUN
cana-3469	66	13	of	of	ADP
cana-3469	66	14	long	long	ADJ
cana-3469	66	15	short	short	ADJ
cana-3469	66	16	-	-	PUNCT
cana-3469	66	17	term	term	NOUN
cana-3469	66	18	memory	memory	NOUN
cana-3469	66	19	.	.	PUNCT
cana-3469	67	1	the	the	DET
cana-3469	67	2	input	input	NOUN
cana-3469	67	3	gate	gate	NOUN
cana-3469	67	4	refreshes	refresh	VERB
cana-3469	67	5	the	the	DET
cana-3469	67	6	memory	memory	NOUN
cana-3469	67	7	cell	cell	NOUN
cana-3469	67	8	while	while	SCONJ
cana-3469	67	9	retaining	retain	VERB
cana-3469	67	10	some	some	PRON
cana-3469	67	11	of	of	ADP
cana-3469	67	12	the	the	DET
cana-3469	67	13	initial	initial	ADJ
cana-3469	67	14	data	datum	NOUN
cana-3469	67	15	from	from	ADP
cana-3469	67	16	the	the	DET
cana-3469	67	17	present	present	ADJ
cana-3469	67	18	lstm	lstm	NOUN
cana-3469	67	19	unit	unit	NOUN
cana-3469	67	20	.	.	PUNCT
cana-3469	68	1	for	for	ADP
cana-3469	68	2	each	each	DET
cana-3469	68	3	previous	previous	ADJ
cana-3469	68	4	lstm	lstm	NOUN
cana-3469	68	5	unit	unit	NOUN
cana-3469	68	6	,	,	PUNCT
cana-3469	68	7	the	the	DET
cana-3469	68	8	forget	forget	PROPN
cana-3469	68	9	gate	gate	PROPN
cana-3469	68	10	decides	decide	VERB
cana-3469	68	11	what	what	PRON
cana-3469	68	12	input	input	NOUN
cana-3469	68	13	data	datum	NOUN
cana-3469	68	14	to	to	PART
cana-3469	68	15	keep	keep	VERB
cana-3469	68	16	and	and	CCONJ
cana-3469	68	17	what	what	PRON
cana-3469	68	18	to	to	PART
cana-3469	68	19	discard	discard	VERB
cana-3469	68	20	.	.	PUNCT
cana-3469	69	1	the	the	DET
cana-3469	69	2	value	value	NOUN
cana-3469	69	3	of	of	ADP
cana-3469	69	4	the	the	DET
cana-3469	69	5	output	output	NOUN
cana-3469	69	6	gate	gate	NOUN
cana-3469	69	7	is	be	AUX
cana-3469	69	8	determined	determine	VERB
cana-3469	69	9	by	by	ADP
cana-3469	69	10	the	the	DET
cana-3469	69	11	memory	memory	NOUN
cana-3469	69	12	cell	cell	NOUN
cana-3469	69	13	.	.	PUNCT
cana-3469	70	1	the	the	DET
cana-3469	70	2	memory	memory	NOUN
cana-3469	70	3	cell	cell	NOUN
cana-3469	70	4	can	can	AUX
cana-3469	70	5	instruct	instruct	VERB
cana-3469	70	6	lstm	lstm	ADJ
cana-3469	70	7	units	unit	NOUN
cana-3469	70	8	to	to	PART
cana-3469	70	9	process	process	VERB
cana-3469	70	10	the	the	DET
cana-3469	70	11	data	datum	NOUN
cana-3469	70	12	.	.	PUNCT
cana-3469	71	1	the	the	DET
cana-3469	71	2	internal	internal	ADJ
cana-3469	71	3	structure	structure	NOUN
cana-3469	71	4	of	of	ADP
cana-3469	71	5	lstm	lstm	NOUN
cana-3469	71	6	is	be	AUX
cana-3469	71	7	enhanced	enhance	VERB
cana-3469	71	8	by	by	ADP
cana-3469	71	9	the	the	DET
cana-3469	71	10	new	new	ADJ
cana-3469	71	11	model	model	NOUN
cana-3469	71	12	stlstm	stlstm	NOUN
cana-3469	71	13	.	.	PUNCT
cana-3469	72	1	by	by	ADP
cana-3469	72	2	adjusting	adjust	VERB
cana-3469	72	3	the	the	DET
cana-3469	72	4	output	output	NOUN
cana-3469	72	5	range	range	NOUN
cana-3469	72	6	of	of	ADP
cana-3469	72	7	the	the	DET
cana-3469	72	8	input	input	NOUN
cana-3469	72	9	gate	gate	NOUN
cana-3469	72	10	,	,	PUNCT
cana-3469	72	11	stlstm	stlstm	NOUN
cana-3469	72	12	introduces	introduce	VERB
cana-3469	72	13	the	the	DET
cana-3469	72	14	tanh	tanh	NOUN
cana-3469	72	15	plus	plus	CCONJ
cana-3469	72	16	0.2	0.2	NUM
cana-3469	72	17	function	function	NOUN
cana-3469	72	18	,	,	PUNCT
cana-3469	72	19	which	which	PRON
cana-3469	72	20	guarantees	guarantee	VERB
cana-3469	72	21	the	the	DET
cana-3469	72	22	correctness	correctness	NOUN
cana-3469	72	23	of	of	ADP
cana-3469	72	24	the	the	DET
cana-3469	72	25	input	input	NOUN
cana-3469	72	26	gate	gate	NOUN
cana-3469	72	27	.	.	PUNCT
cana-3469	73	1	figure	figure	NOUN
cana-3469	73	2	2	2	NUM
cana-3469	73	3	shows	show	VERB
cana-3469	73	4	the	the	DET
cana-3469	73	5	stlstm	stlstm	NOUN
cana-3469	73	6	network	network	NOUN
cana-3469	73	7	architecture	architecture	NOUN
cana-3469	73	8	.	.	PUNCT
cana-3469	74	1	the	the	DET
cana-3469	74	2	input	input	PROPN
cana-3469	74	3	gate	gate	PROPN
cana-3469	74	4	data	datum	NOUN
cana-3469	74	5	is	be	AUX
cana-3469	74	6	almost	almost	ADV
cana-3469	74	7	entirely	entirely	ADV
cana-3469	74	8	ignored	ignore	VERB
cana-3469	74	9	by	by	ADP
cana-3469	74	10	the	the	DET
cana-3469	74	11	sigmoid	sigmoid	NOUN
cana-3469	74	12	function	function	NOUN
cana-3469	74	13	for	for	ADP
cana-3469	74	14	values	value	NOUN
cana-3469	74	15	close	close	ADJ
cana-3469	74	16	to	to	ADP
cana-3469	74	17	0	0	NUM
cana-3469	74	18	,	,	PUNCT
cana-3469	74	19	while	while	SCONJ
cana-3469	74	20	values	value	NOUN
cana-3469	74	21	close	close	ADJ
cana-3469	74	22	to	to	PART
cana-3469	74	23	1	1	NUM
cana-3469	74	24	are	be	AUX
cana-3469	74	25	nearly	nearly	ADV
cana-3469	74	26	entirely	entirely	ADV
cana-3469	74	27	preserved	preserve	VERB
cana-3469	74	28	and	and	CCONJ
cana-3469	74	29	passed	pass	VERB
cana-3469	74	30	on	on	ADP
cana-3469	74	31	.	.	PUNCT
cana-3469	75	1	before	before	ADP
cana-3469	75	2	the	the	DET
cana-3469	75	3	enhancement	enhancement	NOUN
cana-3469	75	4	,	,	PUNCT
cana-3469	75	5	the	the	DET
cana-3469	75	6	output	output	NOUN
cana-3469	75	7	range	range	NOUN
cana-3469	75	8	is	be	AUX
cana-3469	75	9	zero	zero	NUM
cana-3469	75	10	.	.	PUNCT
cana-3469	76	1	with	with	ADP
cana-3469	76	2	the	the	DET
cana-3469	76	3	addition	addition	NOUN
cana-3469	76	4	of	of	ADP
cana-3469	76	5	the	the	DET
cana-3469	76	6	tanh	tanh	NOUN
cana-3469	76	7	plus	plus	CCONJ
cana-3469	76	8	0.2	0.2	NUM
cana-3469	76	9	function	function	NOUN
cana-3469	76	10	,	,	PUNCT
cana-3469	76	11	the	the	DET
cana-3469	76	12	output	output	NOUN
cana-3469	76	13	range	range	NOUN
cana-3469	76	14	becomes	become	VERB
cana-3469	76	15	(	(	PUNCT
cana-3469	76	16	0.2	0.2	NUM
cana-3469	76	17	,	,	PUNCT
cana-3469	76	18	0.96	0.96	NUM
cana-3469	76	19	)	)	PUNCT
cana-3469	76	20	and	and	CCONJ
cana-3469	76	21	the	the	DET
cana-3469	76	22	values	value	NOUN
cana-3469	76	23	around	around	ADP
cana-3469	76	24	0	0	NUM
cana-3469	76	25	and	and	CCONJ
cana-3469	76	26	1	1	NUM
cana-3469	76	27	are	be	AUX
cana-3469	76	28	approximated	approximate	VERB
cana-3469	76	29	to	to	ADP
cana-3469	76	30	0.2	0.2	NUM
cana-3469	76	31	and	and	CCONJ
cana-3469	76	32	0.96	0.96	NUM
cana-3469	76	33	,	,	PUNCT
cana-3469	76	34	respectively	respectively	ADV
cana-3469	76	35	.	.	PUNCT
cana-3469	77	1	to	to	PART
cana-3469	77	2	get	get	VERB
cana-3469	77	3	a	a	DET
cana-3469	77	4	relationship	relationship	NOUN
cana-3469	77	5	among	among	ADP
cana-3469	77	6	time	time	NOUN
cana-3469	77	7	-	-	PUNCT
cana-3469	77	8	series	series	NOUN
cana-3469	77	9	data	datum	NOUN
cana-3469	77	10	,	,	PUNCT
cana-3469	77	11	the	the	DET
cana-3469	77	12	function	function	NOUN
cana-3469	77	13	changes	change	VERB
cana-3469	77	14	the	the	DET
cana-3469	77	15	output	output	NOUN
cana-3469	77	16	range	range	NOUN
cana-3469	77	17	of	of	ADP
cana-3469	77	18	the	the	DET
cana-3469	77	19	input	input	NOUN
cana-3469	77	20	gate	gate	NOUN
cana-3469	77	21	to	to	ADP
cana-3469	77	22	a	a	DET
cana-3469	77	23	more	more	ADV
cana-3469	77	24	specific	specific	ADJ
cana-3469	77	25	range	range	NOUN
cana-3469	77	26	.	.	PUNCT
cana-3469	78	1	communications	communication	NOUN
cana-3469	78	2	on	on	ADP
cana-3469	78	3	applied	apply	VERB
cana-3469	78	4	nonlinear	nonlinear	ADJ
cana-3469	78	5	analysis	analysis	NOUN
cana-3469	78	6	issn	issn	NOUN
cana-3469	78	7	:	:	PUNCT
cana-3469	78	8	1074	1074	NUM
cana-3469	78	9	-	-	PUNCT
cana-3469	78	10	133x	133x	NUM
cana-3469	78	11	vol	vol	NOUN
cana-3469	78	12	32	32	NUM
cana-3469	78	13	no	no	NOUN
cana-3469	78	14	.	.	PUNCT
cana-3469	79	1	7s	7	NOUN
cana-3469	79	2	(	(	PUNCT
cana-3469	79	3	2025	2025	NUM
cana-3469	79	4	)	)	PUNCT
cana-3469	79	5	622	622	NUM
cana-3469	79	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3469	79	7	figure	figure	NOUN
cana-3469	79	8	2	2	NUM
cana-3469	79	9	stlstm	stlstm	NOUN
cana-3469	79	10	network	network	NOUN
cana-3469	79	11	architecture	architecture	NOUN
cana-3469	79	12	there	there	PRON
cana-3469	79	13	are	be	VERB
cana-3469	79	14	three	three	NUM
cana-3469	79	15	pieces	piece	NOUN
cana-3469	79	16	to	to	ADP
cana-3469	79	17	the	the	DET
cana-3469	79	18	stlstm	stlstm	NOUN
cana-3469	79	19	unit	unit	NOUN
cana-3469	79	20	's	's	PART
cana-3469	79	21	input	input	NOUN
cana-3469	79	22	data	datum	NOUN
cana-3469	79	23	at	at	ADP
cana-3469	79	24	time	time	NOUN
cana-3469	79	25	t	t	PROPN
cana-3469	79	26	:	:	PUNCT
cana-3469	79	27	input	input	NOUN
cana-3469	79	28	data	datum	NOUN
cana-3469	79	29	.	.	PUNCT
cana-3469	80	1	𝑥𝑡	𝑥𝑡	ADV
cana-3469	80	2	,	,	PUNCT
cana-3469	80	3	output	output	NOUN
cana-3469	80	4	data	datum	NOUN
cana-3469	80	5	ℎ𝑡−1	ℎ𝑡−1	VERB
cana-3469	80	6	,	,	PUNCT
cana-3469	80	7	and	and	CCONJ
cana-3469	80	8	memory	memory	NOUN
cana-3469	80	9	cell	cell	NOUN
cana-3469	80	10	𝑐𝑡−1	𝑐𝑡−1	NOUN
cana-3469	80	11	.	.	PUNCT
cana-3469	81	1	simply	simply	ADV
cana-3469	81	2	put	put	VERB
cana-3469	81	3	,	,	PUNCT
cana-3469	81	4	the	the	DET
cana-3469	81	5	forget	forget	NOUN
cana-3469	81	6	gate	gate	NOUN
cana-3469	81	7	refreshes	refresh	VERB
cana-3469	81	8	the	the	DET
cana-3469	81	9	memory	memory	NOUN
cana-3469	81	10	cell	cell	NOUN
cana-3469	81	11	after	after	ADP
cana-3469	81	12	retaining	retain	VERB
cana-3469	81	13	or	or	CCONJ
cana-3469	81	14	forgetting	forget	VERB
cana-3469	81	15	.	.	PUNCT
cana-3469	82	1	𝑥𝑡	𝑥𝑡	ADV
cana-3469	82	2	and	and	CCONJ
cana-3469	82	3	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-3469	82	4	.	.	PUNCT
cana-3469	83	1	the	the	DET
cana-3469	83	2	input	input	NOUN
cana-3469	83	3	gate	gate	NOUN
cana-3469	83	4	selectively	selectively	ADV
cana-3469	83	5	lets	let	VERB
cana-3469	83	6	through	through	ADP
cana-3469	83	7	the	the	DET
cana-3469	83	8	𝑥𝑡	𝑥𝑡	ADJ
cana-3469	83	9	and	and	CCONJ
cana-3469	83	10	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-3469	83	11	data	datum	NOUN
cana-3469	83	12	that	that	PRON
cana-3469	83	13	is	be	AUX
cana-3469	83	14	necessary	necessary	ADJ
cana-3469	83	15	.	.	PUNCT
cana-3469	84	1	to	to	PART
cana-3469	84	2	modify	modify	VERB
cana-3469	84	3	the	the	DET
cana-3469	84	4	output	output	NOUN
cana-3469	84	5	range	range	NOUN
cana-3469	84	6	of	of	ADP
cana-3469	84	7	the	the	DET
cana-3469	84	8	input	input	NOUN
cana-3469	84	9	gate	gate	NOUN
cana-3469	84	10	,	,	PUNCT
cana-3469	84	11	stlstm	stlstm	NOUN
cana-3469	84	12	employs	employ	VERB
cana-3469	84	13	the	the	DET
cana-3469	84	14	tanh	tanh	NOUN
cana-3469	84	15	plus	plus	CCONJ
cana-3469	84	16	0.2	0.2	NUM
cana-3469	84	17	function	function	NOUN
cana-3469	84	18	.	.	PUNCT
cana-3469	85	1	the	the	DET
cana-3469	85	2	tanh	tanh	PROPN
cana-3469	85	3	function	function	NOUN
cana-3469	85	4	induces	induce	VERB
cana-3469	85	5	candidate	candidate	NOUN
cana-3469	85	6	memory	memory	NOUN
cana-3469	85	7	cells	cell	NOUN
cana-3469	85	8	by	by	ADP
cana-3469	85	9	activating	activate	VERB
cana-3469	85	10	.	.	PUNCT
cana-3469	86	1	ℎ𝑡−1	ℎ𝑡−1	VERB
cana-3469	86	2	and	and	CCONJ
cana-3469	86	3	𝑥𝑡.	𝑥𝑡.	DET
cana-3469	86	4	an	an	DET
cana-3469	86	5	applicant	applicant	ADJ
cana-3469	86	6	reminiscence	reminiscence	NOUN
cana-3469	86	7	cell	cell	NOUN
cana-3469	86	8	,	,	PUNCT
cana-3469	86	9	the	the	DET
cana-3469	86	10	result	result	NOUN
cana-3469	86	11	value	value	NOUN
cana-3469	86	12	of	of	ADP
cana-3469	86	13	the	the	DET
cana-3469	86	14	input	input	NOUN
cana-3469	86	15	,	,	PUNCT
cana-3469	86	16	the	the	DET
cana-3469	86	17	current	current	ADJ
cana-3469	86	18	memory	memory	NOUN
cana-3469	86	19	cell	cell	NOUN
cana-3469	86	20	,	,	PUNCT
cana-3469	86	21	the	the	DET
cana-3469	86	22	previous	previous	ADJ
cana-3469	86	23	memory	memory	NOUN
cana-3469	86	24	cell	cell	NOUN
cana-3469	86	25	,	,	PUNCT
cana-3469	86	26	and	and	CCONJ
cana-3469	86	27	the	the	DET
cana-3469	86	28	forget	forget	PROPN
cana-3469	86	29	gate	gate	PROPN
cana-3469	86	30	's	's	PART
cana-3469	86	31	output	output	NOUN
cana-3469	86	32	value	value	NOUN
cana-3469	86	33	are	be	AUX
cana-3469	86	34	used	use	VERB
cana-3469	86	35	to	to	PART
cana-3469	86	36	update	update	VERB
cana-3469	86	37	the	the	DET
cana-3469	86	38	current	current	ADJ
cana-3469	86	39	memory	memory	NOUN
cana-3469	86	40	cell	cell	NOUN
cana-3469	86	41	.	.	PUNCT
cana-3469	87	1	lastly	lastly	ADV
cana-3469	87	2	,	,	PUNCT
cana-3469	87	3	the	the	DET
cana-3469	87	4	stlstm	stlstm	NOUN
cana-3469	87	5	's	's	PART
cana-3469	87	6	output	output	NOUN
cana-3469	87	7	is	be	AUX
cana-3469	87	8	calculated	calculate	VERB
cana-3469	87	9	by	by	ADP
cana-3469	87	10	summing	sum	VERB
cana-3469	87	11	the	the	DET
cana-3469	87	12	current	current	ADJ
cana-3469	87	13	values	value	NOUN
cana-3469	87	14	of	of	ADP
cana-3469	87	15	the	the	DET
cana-3469	87	16	output	output	NOUN
cana-3469	87	17	gates	gate	NOUN
cana-3469	87	18	and	and	CCONJ
cana-3469	87	19	memory	memory	NOUN
cana-3469	87	20	cells	cell	NOUN
cana-3469	87	21	.	.	PUNCT
cana-3469	88	1	the	the	DET
cana-3469	88	2	formulae	formulae	NOUN
cana-3469	88	3	for	for	ADP
cana-3469	88	4	the	the	DET
cana-3469	88	5	calculations	calculation	NOUN
cana-3469	88	6	are	be	AUX
cana-3469	88	7	as	as	SCONJ
cana-3469	88	8	follows	follow	VERB
cana-3469	88	9	:	:	PUNCT
cana-3469	88	10	(	(	PUNCT
cana-3469	88	11	1	1	X
cana-3469	88	12	)	)	PUNCT
cana-3469	88	13	through	through	ADP
cana-3469	88	14	(	(	PUNCT
cana-3469	88	15	6	6	NUM
cana-3469	88	16	)	)	PUNCT
cana-3469	88	17	.	.	PUNCT
cana-3469	89	1	𝑓𝑡	𝑓𝑡	NOUN
cana-3469	89	2	=	=	PUNCT
cana-3469	89	3	𝜎(𝑤𝑓	𝜎(𝑤𝑓	NUM
cana-3469	89	4	×	×	NOUN
cana-3469	90	1	[	[	X
cana-3469	90	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-3469	90	3	,	,	PUNCT
cana-3469	90	4	𝑥𝑡	𝑥𝑡	ADP
cana-3469	90	5	]	]	PUNCT
cana-3469	91	1	+	+	CCONJ
cana-3469	91	2	𝑏𝑓	𝑏𝑓	PROPN
cana-3469	91	3	)	)	PUNCT
cana-3469	91	4	(	(	PUNCT
cana-3469	91	5	1	1	X
cana-3469	91	6	)	)	PUNCT
cana-3469	91	7	𝑖𝑡	𝑖𝑡	NOUN
cana-3469	91	8	=	=	PUNCT
cana-3469	91	9	tanh	tanh	PROPN
cana-3469	91	10	(	(	PUNCT
cana-3469	91	11	𝜎(𝑤𝑖	𝜎(𝑤𝑖	NUM
cana-3469	91	12	×	×	NOUN
cana-3469	92	1	[	[	X
cana-3469	92	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-3469	92	3	,	,	PUNCT
cana-3469	92	4	𝑥𝑡	𝑥𝑡	ADP
cana-3469	92	5	]	]	X
cana-3469	93	1	+	+	CCONJ
cana-3469	93	2	𝑏𝑖	𝑏𝑖	ADP
cana-3469	93	3	+	+	NUM
cana-3469	93	4	0.2	0.2	NUM
cana-3469	93	5	)	)	PUNCT
cana-3469	93	6	(	(	PUNCT
cana-3469	93	7	2	2	X
cana-3469	93	8	)	)	PUNCT
cana-3469	93	9	𝑐	𝑐	PROPN
cana-3469	93	10	�	�	PROPN
cana-3469	93	11	̃	̃	PROPN
cana-3469	93	12	�	�	NOUN
cana-3469	93	13	=	=	SYM
cana-3469	93	14	tanh	tanh	PROPN
cana-3469	93	15	(	(	PUNCT
cana-3469	93	16	𝑤𝑐	𝑤𝑐	PROPN
cana-3469	93	17	×	×	NOUN
cana-3469	94	1	[	[	X
cana-3469	94	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-3469	94	3	,	,	PUNCT
cana-3469	94	4	𝑥𝑡	𝑥𝑡	ADP
cana-3469	94	5	]	]	PUNCT
cana-3469	94	6	+	+	CCONJ
cana-3469	94	7	𝑏𝑐	𝑏𝑐	PROPN
cana-3469	94	8	(	(	PUNCT
cana-3469	94	9	3	3	X
cana-3469	94	10	)	)	PUNCT
cana-3469	94	11	𝑐𝑡	𝑐𝑡	NOUN
cana-3469	95	1	=	=	PUNCT
cana-3469	95	2	𝑓𝑡	𝑓𝑡	PROPN
cana-3469	95	3	×	×	NOUN
cana-3469	95	4	𝑐𝑡−1	𝑐𝑡−1	NOUN
cana-3469	95	5	+	+	CCONJ
cana-3469	95	6	𝑖𝑡	𝑖𝑡	PROPN
cana-3469	95	7	×	×	PROPN
cana-3469	95	8	𝑐	𝑐	PROPN
cana-3469	95	9	�	�	PROPN
cana-3469	95	10	̃	̃	PROPN
cana-3469	95	11	�	�	PROPN
cana-3469	95	12	(	(	PUNCT
cana-3469	95	13	4	4	NUM
cana-3469	95	14	)	)	PUNCT
cana-3469	95	15	𝑜𝑡	𝑜𝑡	NOUN
cana-3469	95	16	=	=	SYM
cana-3469	95	17	𝜎(𝑤𝑜[ℎ𝑡−1	𝜎(𝑤𝑜[ℎ𝑡−1	PROPN
cana-3469	95	18	,	,	PUNCT
cana-3469	95	19	𝑥𝑡	𝑥𝑡	ADP
cana-3469	95	20	]	]	X
cana-3469	96	1	+	+	CCONJ
cana-3469	96	2	𝑏𝑜	𝑏𝑜	X
cana-3469	96	3	)	)	PUNCT
cana-3469	96	4	(	(	PUNCT
cana-3469	96	5	5	5	X
cana-3469	96	6	)	)	PUNCT
cana-3469	96	7	ℎ𝑡	ℎ𝑡	NOUN
cana-3469	96	8	=	=	PUNCT
cana-3469	96	9	𝑜𝑡	𝑜𝑡	NOUN
cana-3469	96	10	×	×	PROPN
cana-3469	96	11	tanh(𝑐𝑡	tanh(𝑐𝑡	ADV
cana-3469	96	12	)	)	PUNCT
cana-3469	96	13	(	(	PUNCT
cana-3469	96	14	6	6	X
cana-3469	96	15	)	)	PUNCT
cana-3469	96	16	the	the	DET
cana-3469	96	17	forget	forget	NOUN
cana-3469	96	18	gate	gate	PROPN
cana-3469	96	19	's	's	PART
cana-3469	96	20	bias	bias	NOUN
cana-3469	96	21	(	(	PUNCT
cana-3469	96	22	bf	bf	NOUN
cana-3469	96	23	)	)	PUNCT
cana-3469	96	24	and	and	CCONJ
cana-3469	96	25	weight	weight	NOUN
cana-3469	96	26	(	(	PUNCT
cana-3469	96	27	𝑤𝑓	𝑤𝑓	NOUN
cana-3469	96	28	)	)	PUNCT
cana-3469	96	29	determine	determine	VERB
cana-3469	96	30	its	its	PRON
cana-3469	96	31	output	output	NOUN
cana-3469	96	32	value	value	NOUN
cana-3469	96	33	(	(	PUNCT
cana-3469	96	34	𝑓𝑡	𝑓𝑡	PROPN
cana-3469	96	35	)	)	PUNCT
cana-3469	96	36	,	,	PUNCT
cana-3469	96	37	which	which	PRON
cana-3469	96	38	may	may	AUX
cana-3469	96	39	take	take	VERB
cana-3469	96	40	on	on	ADP
cana-3469	96	41	values	value	NOUN
cana-3469	96	42	between	between	ADP
cana-3469	96	43	0	0	NUM
cana-3469	96	44	and	and	CCONJ
cana-3469	96	45	1	1	NUM
cana-3469	96	46	.	.	PUNCT
cana-3469	96	47	with	with	ADP
cana-3469	96	48	the	the	DET
cana-3469	96	49	input	input	NOUN
cana-3469	96	50	gate	gate	NOUN
cana-3469	96	51	's	's	PART
cana-3469	96	52	weight	weight	NOUN
cana-3469	96	53	(	(	PUNCT
cana-3469	96	54	𝑤𝑖	𝑤𝑖	NOUN
cana-3469	96	55	)	)	PUNCT
cana-3469	96	56	and	and	CCONJ
cana-3469	96	57	bias	bias	NOUN
cana-3469	96	58	(	(	PUNCT
cana-3469	96	59	𝑏𝑖	𝑏𝑖	NOUN
cana-3469	96	60	)	)	PUNCT
cana-3469	96	61	set	set	NOUN
cana-3469	96	62	to	to	ADP
cana-3469	96	63	the	the	DET
cana-3469	96	64	values	value	NOUN
cana-3469	96	65	,	,	PUNCT
cana-3469	96	66	the	the	DET
cana-3469	96	67	output	output	NOUN
cana-3469	96	68	value	value	NOUN
cana-3469	96	69	(	(	PUNCT
cana-3469	96	70	o	o	NOUN
cana-3469	96	71	)	)	PUNCT
cana-3469	96	72	is	be	AUX
cana-3469	96	73	obtained	obtain	VERB
cana-3469	96	74	.	.	PUNCT
cana-3469	97	1	the	the	DET
cana-3469	97	2	bias	bias	NOUN
cana-3469	97	3	of	of	ADP
cana-3469	97	4	a	a	DET
cana-3469	97	5	candidate	candidate	NOUN
cana-3469	97	6	memory	memory	NOUN
cana-3469	97	7	cell	cell	NOUN
cana-3469	97	8	is	be	AUX
cana-3469	97	9	denoted	denote	VERB
cana-3469	97	10	by	by	ADP
cana-3469	97	11	𝑏𝑐	𝑏𝑐	PROPN
cana-3469	97	12	,	,	PUNCT
cana-3469	97	13	and	and	CCONJ
cana-3469	97	14	its	its	PRON
cana-3469	97	15	weight	weight	NOUN
cana-3469	97	16	is	be	AUX
cana-3469	97	17	𝑤𝑐.	𝑤𝑐.	ADP
cana-3469	97	18	memory	memory	NOUN
cana-3469	97	19	cell	cell	NOUN
cana-3469	97	20	ct	ct	NUM
cana-3469	98	1	at	at	ADP
cana-3469	98	2	time	time	NOUN
cana-3469	98	3	t	t	PROPN
cana-3469	98	4	,	,	PUNCT
cana-3469	98	5	with	with	ADP
cana-3469	98	6	the	the	DET
cana-3469	98	7	output	output	NOUN
cana-3469	98	8	value	value	NOUN
cana-3469	98	9	of	of	ADP
cana-3469	98	10	the	the	DET
cana-3469	98	11	gate	gate	NOUN
cana-3469	98	12	𝑜𝑡	𝑜𝑡	PROPN
cana-3469	98	13	,	,	PUNCT
cana-3469	98	14	which	which	PRON
cana-3469	98	15	may	may	AUX
cana-3469	98	16	be	be	AUX
cana-3469	98	17	anywhere	anywhere	ADV
cana-3469	98	18	from	from	ADP
cana-3469	98	19	zero	zero	NUM
cana-3469	98	20	to	to	ADP
cana-3469	98	21	one	one	NUM
cana-3469	98	22	.	.	PUNCT
cana-3469	99	1	𝑤𝑜	𝑤𝑜	DET
cana-3469	99	2	denotes	denote	VERB
cana-3469	99	3	the	the	DET
cana-3469	99	4	weight	weight	NOUN
cana-3469	99	5	of	of	ADP
cana-3469	99	6	the	the	DET
cana-3469	99	7	output	output	NOUN
cana-3469	99	8	gate	gate	NOUN
cana-3469	99	9	,	,	PUNCT
cana-3469	99	10	whereas	whereas	SCONJ
cana-3469	99	11	𝑏𝑜	𝑏𝑜	ADJ
cana-3469	99	12	denotes	denote	VERB
cana-3469	99	13	its	its	PRON
cana-3469	99	14	bias	bias	NOUN
cana-3469	99	15	.	.	PUNCT
cana-3469	100	1	"	"	PUNCT
cana-3469	100	2	ℎ𝑡	ℎ𝑡	NOUN
cana-3469	100	3	"	"	PUNCT
cana-3469	100	4	is	be	AUX
cana-3469	100	5	the	the	DET
cana-3469	100	6	value	value	NOUN
cana-3469	100	7	that	that	PRON
cana-3469	100	8	the	the	DET
cana-3469	100	9	stlstm	stlstm	NOUN
cana-3469	100	10	produces	produce	VERB
cana-3469	100	11	.	.	PUNCT
cana-3469	101	1	4.3	4.3	NUM
cana-3469	101	2	attention	attention	NOUN
cana-3469	101	3	mechanism	mechanism	NOUN
cana-3469	101	4	(	(	PUNCT
cana-3469	101	5	am	be	AUX
cana-3469	101	6	)	)	PUNCT
cana-3469	101	7	am	be	AUX
cana-3469	101	8	has	have	AUX
cana-3469	101	9	evolved	evolve	VERB
cana-3469	101	10	from	from	ADP
cana-3469	101	11	its	its	PRON
cana-3469	101	12	original	original	ADJ
cana-3469	101	13	use	use	NOUN
cana-3469	101	14	in	in	ADP
cana-3469	101	15	machine	machine	NOUN
cana-3469	101	16	translation	translation	NOUN
cana-3469	101	17	into	into	ADP
cana-3469	101	18	a	a	DET
cana-3469	101	19	crucial	crucial	ADJ
cana-3469	101	20	component	component	NOUN
cana-3469	101	21	of	of	ADP
cana-3469	101	22	neural	neural	ADJ
cana-3469	101	23	networks	network	NOUN
cana-3469	101	24	.	.	PUNCT
cana-3469	102	1	time	time	NOUN
cana-3469	102	2	-	-	PUNCT
cana-3469	102	3	series	series	NOUN
cana-3469	102	4	forecasting	forecasting	NOUN
cana-3469	102	5	is	be	AUX
cana-3469	102	6	only	only	ADV
cana-3469	102	7	one	one	NUM
cana-3469	102	8	of	of	ADP
cana-3469	102	9	several	several	ADJ
cana-3469	102	10	areas	area	NOUN
cana-3469	102	11	where	where	SCONJ
cana-3469	102	12	am	be	AUX
cana-3469	102	13	has	have	AUX
cana-3469	102	14	found	find	VERB
cana-3469	102	15	widespread	widespread	ADJ
cana-3469	102	16	use	use	NOUN
cana-3469	102	17	.	.	PUNCT
cana-3469	103	1	the	the	DET
cana-3469	103	2	idea	idea	NOUN
cana-3469	103	3	is	be	AUX
cana-3469	103	4	that	that	SCONJ
cana-3469	103	5	the	the	DET
cana-3469	103	6	human	human	ADJ
cana-3469	103	7	attention	attention	NOUN
cana-3469	103	8	system	system	NOUN
cana-3469	103	9	might	might	AUX
cana-3469	103	10	serve	serve	VERB
cana-3469	103	11	as	as	ADP
cana-3469	103	12	an	an	DET
cana-3469	103	13	inspiration	inspiration	NOUN
cana-3469	103	14	for	for	ADP
cana-3469	103	15	am	am	NOUN
cana-3469	103	16	.	.	PUNCT
cana-3469	104	1	by	by	ADP
cana-3469	104	2	giving	give	VERB
cana-3469	104	3	higher	high	ADJ
cana-3469	104	4	importance	importance	NOUN
cana-3469	104	5	to	to	ADP
cana-3469	104	6	certain	certain	ADJ
cana-3469	104	7	elements	element	NOUN
cana-3469	104	8	of	of	ADP
cana-3469	104	9	the	the	DET
cana-3469	104	10	model	model	NOUN
cana-3469	104	11	,	,	PUNCT
cana-3469	104	12	am	be	AUX
cana-3469	104	13	can	can	AUX
cana-3469	104	14	extract	extract	VERB
cana-3469	104	15	more	more	ADJ
cana-3469	104	16	crucial	crucial	ADJ
cana-3469	104	17	information	information	NOUN
cana-3469	104	18	.	.	PUNCT
cana-3469	105	1	if	if	SCONJ
cana-3469	105	2	am	be	AUX
cana-3469	105	3	can	can	AUX
cana-3469	105	4	optimize	optimize	VERB
cana-3469	105	5	the	the	DET
cana-3469	105	6	model	model	NOUN
cana-3469	105	7	,	,	PUNCT
cana-3469	105	8	it	it	PRON
cana-3469	105	9	will	will	AUX
cana-3469	105	10	be	be	AUX
cana-3469	105	11	able	able	ADJ
cana-3469	105	12	to	to	PART
cana-3469	105	13	make	make	VERB
cana-3469	105	14	better	well	ADJ
cana-3469	105	15	decisions	decision	NOUN
cana-3469	105	16	.	.	PUNCT
cana-3469	106	1	figure	figure	NOUN
cana-3469	106	2	3	3	NUM
cana-3469	106	3	shows	show	VERB
cana-3469	106	4	the	the	DET
cana-3469	106	5	structure	structure	NOUN
cana-3469	106	6	of	of	ADP
cana-3469	106	7	the	the	DET
cana-3469	106	8	am	am	NOUN
cana-3469	106	9	method	method	NOUN
cana-3469	106	10	.	.	PUNCT
cana-3469	107	1	communications	communication	NOUN
cana-3469	107	2	on	on	ADP
cana-3469	107	3	applied	apply	VERB
cana-3469	107	4	nonlinear	nonlinear	ADJ
cana-3469	107	5	analysis	analysis	NOUN
cana-3469	107	6	issn	issn	NOUN
cana-3469	107	7	:	:	PUNCT
cana-3469	107	8	1074	1074	NUM
cana-3469	107	9	-	-	PUNCT
cana-3469	107	10	133x	133x	NUM
cana-3469	107	11	vol	vol	NOUN
cana-3469	107	12	32	32	NUM
cana-3469	107	13	no	no	NOUN
cana-3469	107	14	.	.	PUNCT
cana-3469	108	1	7s	7	NOUN
cana-3469	108	2	(	(	PUNCT
cana-3469	108	3	2025	2025	NUM
cana-3469	108	4	)	)	PUNCT
cana-3469	108	5	623	623	NUM
cana-3469	108	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3469	108	7	figure	figure	NOUN
cana-3469	108	8	3	3	NUM
cana-3469	108	9	structure	structure	NOUN
cana-3469	108	10	of	of	ADP
cana-3469	108	11	the	the	DET
cana-3469	108	12	am	am	NOUN
cana-3469	108	13	method	method	NOUN
cana-3469	108	14	here	here	ADV
cana-3469	108	15	are	be	AUX
cana-3469	108	16	the	the	DET
cana-3469	108	17	steps	step	NOUN
cana-3469	108	18	involved	involve	VERB
cana-3469	108	19	in	in	ADP
cana-3469	108	20	am	am	NOUN
cana-3469	108	21	:	:	PUNCT
cana-3469	108	22	step	step	NOUN
cana-3469	108	23	1	1	NUM
cana-3469	108	24	:	:	PUNCT
cana-3469	108	25	function	function	NOUN
cana-3469	108	26	and	and	CCONJ
cana-3469	108	27	compute	compute	NOUN
cana-3469	108	28	mechanism	mechanism	NOUN
cana-3469	108	29	introduction	introduction	NOUN
cana-3469	108	30	occurs	occur	VERB
cana-3469	108	31	initially	initially	ADV
cana-3469	108	32	.	.	PUNCT
cana-3469	109	1	query	query	NOUN
cana-3469	109	2	and	and	CCONJ
cana-3469	109	3	key	key	NOUN
cana-3469	109	4	allow	allow	VERB
cana-3469	109	5	one	one	PRON
cana-3469	109	6	to	to	PART
cana-3469	109	7	compute	compute	VERB
cana-3469	109	8	the	the	DET
cana-3469	109	9	correlation	correlation	NOUN
cana-3469	109	10	.	.	PUNCT
cana-3469	110	1	equation	equation	NOUN
cana-3469	110	2	(	(	PUNCT
cana-3469	110	3	7	7	X
cana-3469	110	4	)	)	PUNCT
cana-3469	110	5	shows	show	VERB
cana-3469	110	6	the	the	DET
cana-3469	110	7	formula	formula	NOUN
cana-3469	110	8	.	.	PUNCT
cana-3469	111	1	𝑠𝑖	𝑠𝑖	NOUN
cana-3469	111	2	=	=	SYM
cana-3469	111	3	𝑄𝑢𝑒𝑟𝑦	𝑄𝑢𝑒𝑟𝑦	PROPN
cana-3469	111	4	×	×	PROPN
cana-3469	111	5	𝐾𝑒𝑦𝑖	𝐾𝑒𝑦𝑖	PROPN
cana-3469	111	6	(	(	PUNCT
cana-3469	111	7	7	7	NUM
cana-3469	111	8	)	)	PUNCT
cana-3469	111	9	where	where	SCONJ
cana-3469	111	10	si	si	PROPN
cana-3469	111	11	stands	stand	VERB
cana-3469	111	12	for	for	ADP
cana-3469	111	13	the	the	DET
cana-3469	111	14	connection	connection	NOUN
cana-3469	111	15	.	.	PUNCT
cana-3469	112	1	step	step	NOUN
cana-3469	112	2	2	2	NUM
cana-3469	112	3	:	:	PUNCT
cana-3469	112	4	as	as	SCONJ
cana-3469	112	5	seen	see	VERB
cana-3469	112	6	in	in	ADP
cana-3469	112	7	formula	formula	NOUN
cana-3469	112	8	(	(	PUNCT
cana-3469	112	9	8)	8)	NUM
cana-3469	112	10	,	,	PUNCT
cana-3469	112	11	the	the	DET
cana-3469	112	12	second	second	ADJ
cana-3469	112	13	step	step	NOUN
cana-3469	112	14	involves	involve	VERB
cana-3469	112	15	using	use	VERB
cana-3469	112	16	softmax	softmax	NOUN
cana-3469	112	17	to	to	PART
cana-3469	112	18	transform	transform	VERB
cana-3469	112	19	the	the	DET
cana-3469	112	20	scores	score	NOUN
cana-3469	112	21	from	from	ADP
cana-3469	112	22	the	the	DET
cana-3469	112	23	first	first	ADJ
cana-3469	112	24	stage	stage	NOUN
cana-3469	112	25	.	.	PUNCT
cana-3469	113	1	𝑎𝑖	𝑎𝑖	X
cana-3469	113	2	=	=	SYM
cana-3469	113	3	𝑆𝑜𝑓𝑡𝑚𝑎𝑥(𝑠𝑖	𝑆𝑜𝑓𝑡𝑚𝑎𝑥(𝑠𝑖	NOUN
cana-3469	113	4	)	)	PUNCT
cana-3469	113	5	=	=	SYM
cana-3469	113	6	𝑒𝑠𝑖	𝑒𝑠𝑖	NOUN
cana-3469	113	7	∑	∑	PUNCT
cana-3469	113	8	𝑒𝑠𝑖	𝑒𝑠𝑖	NOUN
cana-3469	113	9	𝐿𝑥	𝐿𝑥	PROPN
cana-3469	113	10	𝑗=1	𝑗=1	PROPN
cana-3469	113	11	(	(	PUNCT
cana-3469	113	12	8)	8)	NUM
cana-3469	113	13	step	step	NOUN
cana-3469	113	14	3	3	NUM
cana-3469	113	15	:	:	PUNCT
cana-3469	113	16	to	to	PART
cana-3469	113	17	get	get	VERB
cana-3469	113	18	the	the	DET
cana-3469	113	19	attention	attention	NOUN
cana-3469	113	20	value	value	NOUN
cana-3469	113	21	,	,	PUNCT
cana-3469	113	22	they	they	PRON
cana-3469	113	23	may	may	AUX
cana-3469	113	24	use	use	VERB
cana-3469	113	25	the	the	DET
cana-3469	113	26	weight	weight	NOUN
cana-3469	113	27	coefficient	coefficient	NOUN
cana-3469	113	28	from	from	ADP
cana-3469	113	29	the	the	DET
cana-3469	113	30	second	second	ADJ
cana-3469	113	31	step	step	NOUN
cana-3469	113	32	and	and	CCONJ
cana-3469	113	33	add	add	VERB
cana-3469	113	34	it	it	PRON
cana-3469	113	35	together	together	ADV
cana-3469	113	36	,	,	PUNCT
cana-3469	113	37	as	as	SCONJ
cana-3469	113	38	stated	state	VERB
cana-3469	113	39	in	in	ADP
cana-3469	113	40	equation	equation	NOUN
cana-3469	113	41	(	(	PUNCT
cana-3469	113	42	9	9	NUM
cana-3469	113	43	)	)	PUNCT
cana-3469	113	44	.	.	PUNCT
cana-3469	114	1	𝐴𝑡𝑡𝑒𝑛𝑡𝑖𝑜𝑛	𝐴𝑡𝑡𝑒𝑛𝑡𝑖𝑜𝑛	NOUN
cana-3469	114	2	𝑣𝑎𝑙𝑢𝑒	𝑣𝑎𝑙𝑢𝑒	NOUN
cana-3469	114	3	=	=	PUNCT
cana-3469	114	4	∑	∑	PUNCT
cana-3469	114	5	𝑎𝑖	𝑎𝑖	DET
cana-3469	114	6	×	×	NOUN
cana-3469	114	7	𝑉𝑎𝑙𝑢𝑒𝑖	𝑉𝑎𝑙𝑢𝑒𝑖	PROPN
cana-3469	114	8	𝐿𝑥	𝐿𝑥	PROPN
cana-3469	114	9	𝑖=1	𝑖=1	PROPN
cana-3469	114	10	(	(	PUNCT
cana-3469	114	11	9	9	X
cana-3469	114	12	)	)	PUNCT
cana-3469	114	13	the	the	DET
cana-3469	114	14	input	input	NOUN
cana-3469	114	15	vector	vector	NOUN
cana-3469	114	16	is	be	AUX
cana-3469	114	17	denoted	denote	VERB
cana-3469	114	18	by	by	ADP
cana-3469	114	19	value	value	NOUN
cana-3469	114	20	i.	i.	NOUN
cana-3469	114	21	5	5	NUM
cana-3469	114	22	.	.	PUNCT
cana-3469	114	23	experimental	experimental	ADJ
cana-3469	114	24	results	result	NOUN
cana-3469	114	25	and	and	CCONJ
cana-3469	114	26	analysis	analysis	NOUN
cana-3469	114	27	this	this	DET
cana-3469	114	28	study	study	NOUN
cana-3469	114	29	demonstrates	demonstrate	VERB
cana-3469	114	30	the	the	DET
cana-3469	114	31	efficacy	efficacy	NOUN
cana-3469	114	32	of	of	ADP
cana-3469	114	33	the	the	DET
cana-3469	114	34	cnn	cnn	PROPN
cana-3469	114	35	-	-	PUNCT
cana-3469	114	36	stlstm	stlstm	NOUN
cana-3469	114	37	-	-	PUNCT
cana-3469	114	38	am	am	NOUN
cana-3469	114	39	method	method	NOUN
cana-3469	114	40	by	by	ADP
cana-3469	114	41	comparing	compare	VERB
cana-3469	114	42	it	it	PRON
cana-3469	114	43	to	to	ADP
cana-3469	114	44	six	six	NUM
cana-3469	114	45	base	base	NOUN
cana-3469	114	46	methods	method	NOUN
cana-3469	114	47	in	in	ADP
cana-3469	114	48	a	a	DET
cana-3469	114	49	similar	similar	ADJ
cana-3469	114	50	functioning	function	VERB
cana-3469	114	51	situation	situation	NOUN
cana-3469	114	52	,	,	PUNCT
cana-3469	114	53	using	use	VERB
cana-3469	114	54	identical	identical	ADJ
cana-3469	114	55	training	training	NOUN
cana-3469	114	56	and	and	CCONJ
cana-3469	114	57	test	test	NOUN
cana-3469	114	58	sets	set	NOUN
cana-3469	114	59	.	.	PUNCT
cana-3469	115	1	5.1	5.1	NUM
cana-3469	115	2	experimental	experimental	ADJ
cana-3469	115	3	setting	set	VERB
cana-3469	115	4	this	this	DET
cana-3469	115	5	setup	setup	NOUN
cana-3469	115	6	has	have	VERB
cana-3469	115	7	an	an	DET
cana-3469	115	8	intel(r	intel(r	NOUN
cana-3469	115	9	)	)	PUNCT
cana-3469	115	10	core	core	NOUN
cana-3469	115	11	(	(	PUNCT
cana-3469	115	12	tm	tm	NOUN
cana-3469	115	13	)	)	PUNCT
cana-3469	115	14	i5	i5	ADJ
cana-3469	115	15	-	-	PUNCT
cana-3469	115	16	6300hq	6300hq	NOUN
cana-3469	115	17	cpu	cpu	NOUN
cana-3469	115	18	running	run	VERB
cana-3469	115	19	at	at	ADP
cana-3469	115	20	2.30	2.30	NUM
cana-3469	115	21	ghz	ghz	NOUN
cana-3469	115	22	,	,	PUNCT
cana-3469	115	23	4.00	4.00	NUM
cana-3469	115	24	gb	gb	NOUN
cana-3469	115	25	of	of	ADP
cana-3469	115	26	ram	ram	NOUN
cana-3469	115	27	,	,	PUNCT
cana-3469	115	28	and	and	CCONJ
cana-3469	115	29	an	an	DET
cana-3469	115	30	nvidia	nvidia	PROPN
cana-3469	115	31	geforce	geforce	NOUN
cana-3469	115	32	gtx	gtx	PROPN
cana-3469	115	33	960	960	NUM
cana-3469	115	34	m	m	NOUN
cana-3469	115	35	card	card	NOUN
cana-3469	115	36	based	base	VERB
cana-3469	115	37	on	on	ADP
cana-3469	115	38	graphics	graphic	NOUN
cana-3469	115	39	,	,	PUNCT
cana-3469	115	40	and	and	CCONJ
cana-3469	115	41	it	it	PRON
cana-3469	115	42	is	be	AUX
cana-3469	115	43	used	use	VERB
cana-3469	115	44	to	to	PART
cana-3469	115	45	run	run	VERB
cana-3469	115	46	windows	window	NOUN
cana-3469	115	47	10	10	NUM
cana-3469	115	48	operating	operating	NOUN
cana-3469	115	49	system	system	NOUN
cana-3469	115	50	experiments	experiment	NOUN
cana-3469	115	51	.	.	PUNCT
cana-3469	116	1	pycharm	pycharm	VERB
cana-3469	116	2	2020	2020	NUM
cana-3469	116	3	1.3	1.3	NUM
cana-3469	116	4	x64	x64	NOUN
cana-3469	116	5	and	and	CCONJ
cana-3469	116	6	python	python	PROPN
cana-3469	116	7	3.7.3	3.7.3	NUM
cana-3469	116	8	were	be	AUX
cana-3469	116	9	the	the	DET
cana-3469	116	10	programming	programming	NOUN
cana-3469	116	11	languages	language	NOUN
cana-3469	116	12	and	and	CCONJ
cana-3469	116	13	compilers	compiler	NOUN
cana-3469	116	14	utilized	utilize	VERB
cana-3469	116	15	throughout	throughout	ADP
cana-3469	116	16	the	the	DET
cana-3469	116	17	studies	study	NOUN
cana-3469	116	18	.	.	PUNCT
cana-3469	117	1	the	the	DET
cana-3469	117	2	deep	deep	ADJ
cana-3469	117	3	learning	learning	NOUN
cana-3469	117	4	framework	framework	NOUN
cana-3469	117	5	used	use	VERB
cana-3469	117	6	in	in	ADP
cana-3469	117	7	the	the	DET
cana-3469	117	8	experimentations	experimentation	NOUN
cana-3469	117	9	is	be	AUX
cana-3469	117	10	keras	keras	PROPN
cana-3469	117	11	with	with	ADP
cana-3469	117	12	tensorflow	tensorflow	NOUN
cana-3469	117	13	.	.	PUNCT
cana-3469	118	1	5.2	5.2	NUM
cana-3469	118	2	the	the	DET
cana-3469	118	3	experimental	experimental	ADJ
cana-3469	118	4	procedure	procedure	NOUN
cana-3469	118	5	figure	figure	NOUN
cana-3469	118	6	4	4	NUM
cana-3469	118	7	shows	show	VERB
cana-3469	118	8	the	the	DET
cana-3469	118	9	experiment	experiment	NOUN
cana-3469	118	10	flow	flow	NOUN
cana-3469	118	11	diagram	diagram	NOUN
cana-3469	118	12	.	.	PUNCT
cana-3469	119	1	communications	communication	NOUN
cana-3469	119	2	on	on	ADP
cana-3469	119	3	applied	apply	VERB
cana-3469	119	4	nonlinear	nonlinear	ADJ
cana-3469	119	5	analysis	analysis	NOUN
cana-3469	119	6	issn	issn	NOUN
cana-3469	119	7	:	:	PUNCT
cana-3469	119	8	1074	1074	NUM
cana-3469	119	9	-	-	PUNCT
cana-3469	119	10	133x	133x	NUM
cana-3469	119	11	vol	vol	NOUN
cana-3469	119	12	32	32	NUM
cana-3469	119	13	no	no	NOUN
cana-3469	119	14	.	.	PUNCT
cana-3469	120	1	7s	7	NOUN
cana-3469	120	2	(	(	PUNCT
cana-3469	120	3	2025	2025	NUM
cana-3469	120	4	)	)	PUNCT
cana-3469	120	5	624	624	NUM
cana-3469	120	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3469	120	7	figure	figure	VERB
cana-3469	120	8	4	4	NUM
cana-3469	120	9	experiment	experiment	NOUN
cana-3469	120	10	flow	flow	NOUN
cana-3469	120	11	diagram	diagram	NOUN
cana-3469	120	12	5.3	5.3	NUM
cana-3469	120	13	data	datum	NOUN
cana-3469	120	14	source	source	NOUN
cana-3469	120	15	the	the	DET
cana-3469	120	16	wind	wind	NOUN
cana-3469	120	17	database	database	NOUN
cana-3469	120	18	supplies	supply	VERB
cana-3469	120	19	the	the	DET
cana-3469	120	20	data	datum	NOUN
cana-3469	120	21	used	use	VERB
cana-3469	120	22	in	in	ADP
cana-3469	120	23	the	the	DET
cana-3469	120	24	experiments	experiment	NOUN
cana-3469	120	25	.	.	PUNCT
cana-3469	121	1	data	datum	NOUN
cana-3469	121	2	utilized	utilize	VERB
cana-3469	121	3	for	for	ADP
cana-3469	121	4	the	the	DET
cana-3469	121	5	experiment	experiment	NOUN
cana-3469	121	6	comes	come	VERB
cana-3469	121	7	from	from	ADP
cana-3469	121	8	the	the	DET
cana-3469	121	9	following	follow	VERB
cana-3469	121	10	sources	source	NOUN
cana-3469	121	11	:	:	PUNCT
cana-3469	121	12	the	the	DET
cana-3469	121	13	usd	usd	NOUN
cana-3469	121	14	exchange	exchange	NOUN
cana-3469	121	15	rate	rate	NOUN
cana-3469	121	16	,	,	PUNCT
cana-3469	121	17	the	the	DET
cana-3469	121	18	lowest	low	ADJ
cana-3469	121	19	price	price	NOUN
cana-3469	121	20	,	,	PUNCT
cana-3469	121	21	the	the	DET
cana-3469	121	22	greatest	great	ADJ
cana-3469	121	23	pricing	pricing	NOUN
cana-3469	121	24	,	,	PUNCT
cana-3469	121	25	and	and	CCONJ
cana-3469	121	26	the	the	DET
cana-3469	121	27	closing	closing	NOUN
cana-3469	121	28	price	price	NOUN
cana-3469	121	29	from	from	ADP
cana-3469	121	30	may	may	PROPN
cana-3469	121	31	4	4	NUM
cana-3469	121	32	,	,	PUNCT
cana-3469	121	33	2007	2007	NUM
cana-3469	121	34	,	,	PUNCT
cana-3469	121	35	to	to	ADP
cana-3469	121	36	december	december	PROPN
cana-3469	121	37	31	31	NUM
cana-3469	121	38	,	,	PUNCT
cana-3469	121	39	2022	2022	NUM
cana-3469	121	40	;	;	PUNCT
cana-3469	121	41	gs	gs	PROPN
cana-3469	121	42	,	,	PUNCT
cana-3469	121	43	djia	djia	PROPN
cana-3469	121	44	,	,	PUNCT
cana-3469	121	45	goi	goi	PROPN
cana-3469	121	46	,	,	PUNCT
cana-3469	121	47	and	and	CCONJ
cana-3469	121	48	usdi	usdi	NOUN
cana-3469	121	49	.	.	PUNCT
cana-3469	122	1	5.4	5.4	NUM
cana-3469	122	2	preprocessing	preprocessing	NOUN
cana-3469	122	3	data	datum	NOUN
cana-3469	122	4	there	there	ADV
cana-3469	122	5	seems	seem	VERB
cana-3469	122	6	to	to	PART
cana-3469	122	7	be	be	AUX
cana-3469	122	8	some	some	DET
cana-3469	122	9	duplication	duplication	NOUN
cana-3469	122	10	or	or	CCONJ
cana-3469	122	11	missing	miss	VERB
cana-3469	122	12	data	datum	NOUN
cana-3469	122	13	in	in	ADP
cana-3469	122	14	the	the	DET
cana-3469	122	15	experiment	experiment	NOUN
cana-3469	122	16	.	.	PUNCT
cana-3469	123	1	the	the	DET
cana-3469	123	2	missing	miss	VERB
cana-3469	123	3	data	datum	NOUN
cana-3469	123	4	is	be	AUX
cana-3469	123	5	filled	fill	VERB
cana-3469	123	6	in	in	ADP
cana-3469	123	7	by	by	ADP
cana-3469	123	8	averaging	average	VERB
cana-3469	123	9	the	the	DET
cana-3469	123	10	first	first	ADJ
cana-3469	123	11	two	two	NUM
cana-3469	123	12	points	point	NOUN
cana-3469	123	13	of	of	ADP
cana-3469	123	14	data	datum	NOUN
cana-3469	123	15	in	in	ADP
cana-3469	123	16	this	this	DET
cana-3469	123	17	study	study	NOUN
cana-3469	123	18	.	.	PUNCT
cana-3469	124	1	data	datum	NOUN
cana-3469	124	2	duplication	duplication	NOUN
cana-3469	124	3	results	result	NOUN
cana-3469	124	4	in	in	ADP
cana-3469	124	5	the	the	DET
cana-3469	124	6	deletion	deletion	NOUN
cana-3469	124	7	of	of	ADP
cana-3469	124	8	earlier	early	ADJ
cana-3469	124	9	data	datum	NOUN
cana-3469	124	10	.	.	PUNCT
cana-3469	125	1	the	the	DET
cana-3469	125	2	size	size	NOUN
cana-3469	125	3	of	of	ADP
cana-3469	125	4	data	datum	NOUN
cana-3469	125	5	elements	element	NOUN
cana-3469	125	6	might	might	AUX
cana-3469	125	7	vary	vary	VERB
cana-3469	125	8	greatly	greatly	ADV
cana-3469	125	9	,	,	PUNCT
cana-3469	125	10	and	and	CCONJ
cana-3469	125	11	the	the	DET
cana-3469	125	12	values	value	NOUN
cana-3469	125	13	can	can	AUX
cana-3469	125	14	also	also	ADV
cana-3469	125	15	vary	vary	VERB
cana-3469	125	16	greatly	greatly	ADV
cana-3469	125	17	from	from	ADP
cana-3469	125	18	one	one	NUM
cana-3469	125	19	another	another	DET
cana-3469	125	20	.	.	PUNCT
cana-3469	126	1	data	datum	NOUN
cana-3469	126	2	analysis	analysis	NOUN
cana-3469	126	3	outcomes	outcome	NOUN
cana-3469	126	4	could	could	AUX
cana-3469	126	5	be	be	AUX
cana-3469	126	6	impacted	impact	VERB
cana-3469	126	7	by	by	ADP
cana-3469	126	8	non	non	ADJ
cana-3469	126	9	-	-	ADJ
cana-3469	126	10	standardized	standardized	ADJ
cana-3469	126	11	data	datum	NOUN
cana-3469	126	12	.	.	PUNCT
cana-3469	127	1	depending	depend	VERB
cana-3469	127	2	on	on	ADP
cana-3469	127	3	their	their	PRON
cana-3469	127	4	importance	importance	NOUN
cana-3469	127	5	,	,	PUNCT
cana-3469	127	6	data	datum	NOUN
cana-3469	127	7	objects	object	NOUN
cana-3469	127	8	might	might	AUX
cana-3469	127	9	vary	vary	VERB
cana-3469	127	10	greatly	greatly	ADV
cana-3469	127	11	in	in	ADP
cana-3469	127	12	size	size	NOUN
cana-3469	127	13	.	.	PUNCT
cana-3469	128	1	to	to	PART
cana-3469	128	2	account	account	VERB
cana-3469	128	3	for	for	ADP
cana-3469	128	4	variations	variation	NOUN
cana-3469	128	5	in	in	ADP
cana-3469	128	6	dimensions	dimension	NOUN
cana-3469	128	7	and	and	CCONJ
cana-3469	128	8	value	value	NOUN
cana-3469	128	9	ranges	range	VERB
cana-3469	128	10	across	across	ADP
cana-3469	128	11	data	datum	NOUN
cana-3469	128	12	items	item	NOUN
cana-3469	128	13	,	,	PUNCT
cana-3469	128	14	experiments	experiment	NOUN
cana-3469	128	15	use	use	VERB
cana-3469	128	16	data	datum	NOUN
cana-3469	128	17	standardization	standardization	NOUN
cana-3469	128	18	.	.	PUNCT
cana-3469	129	1	in	in	ADP
cana-3469	129	2	order	order	NOUN
cana-3469	129	3	to	to	PART
cana-3469	129	4	make	make	VERB
cana-3469	129	5	the	the	DET
cana-3469	129	6	data	datum	NOUN
cana-3469	129	7	fit	fit	VERB
cana-3469	129	8	into	into	ADP
cana-3469	129	9	a	a	DET
cana-3469	129	10	predetermined	predetermine	VERB
cana-3469	129	11	category	category	NOUN
cana-3469	129	12	,	,	PUNCT
cana-3469	129	13	data	datum	NOUN
cana-3469	129	14	standardization	standardization	NOUN
cana-3469	129	15	scales	scale	VERB
cana-3469	129	16	it	it	PRON
cana-3469	129	17	proportionally	proportionally	ADV
cana-3469	129	18	.	.	PUNCT
cana-3469	130	1	the	the	DET
cana-3469	130	2	z	z	NOUN
cana-3469	130	3	-	-	PUNCT
cana-3469	130	4	score	score	NOUN
cana-3469	130	5	standardization	standardization	NOUN
cana-3469	130	6	approach	approach	NOUN
cana-3469	130	7	is	be	AUX
cana-3469	130	8	used	use	VERB
cana-3469	130	9	in	in	ADP
cana-3469	130	10	this	this	DET
cana-3469	130	11	study	study	NOUN
cana-3469	130	12	.	.	PUNCT
cana-3469	131	1	the	the	DET
cana-3469	131	2	z	z	NOUN
cana-3469	131	3	-	-	PUNCT
cana-3469	131	4	score	score	NOUN
cana-3469	131	5	-	-	PUNCT
cana-3469	131	6	standardized	standardize	VERB
cana-3469	131	7	data	data	NOUN
cana-3469	131	8	is	be	AUX
cana-3469	131	9	uniformly	uniformly	ADV
cana-3469	131	10	distributed	distribute	VERB
cana-3469	131	11	about	about	ADP
cana-3469	131	12	zero	zero	NUM
cana-3469	131	13	,	,	PUNCT
cana-3469	131	14	with	with	ADP
cana-3469	131	15	a	a	DET
cana-3469	131	16	normal	normal	ADJ
cana-3469	131	17	deviation	deviation	NOUN
cana-3469	131	18	of	of	ADP
cana-3469	131	19	one	one	NUM
cana-3469	131	20	.	.	PUNCT
cana-3469	132	1	the	the	DET
cana-3469	132	2	standardization	standardization	NOUN
cana-3469	132	3	data	datum	NOUN
cana-3469	132	4	wo	will	AUX
cana-3469	132	5	n't	not	PART
cana-3469	132	6	be	be	AUX
cana-3469	132	7	an	an	DET
cana-3469	132	8	issue	issue	NOUN
cana-3469	132	9	because	because	SCONJ
cana-3469	132	10	of	of	ADP
cana-3469	132	11	how	how	SCONJ
cana-3469	132	12	drastically	drastically	ADV
cana-3469	132	13	different	different	ADJ
cana-3469	132	14	the	the	DET
cana-3469	132	15	data	data	NOUN
cana-3469	132	16	is	be	AUX
cana-3469	132	17	.	.	PUNCT
cana-3469	133	1	here	here	ADV
cana-3469	133	2	is	be	AUX
cana-3469	133	3	the	the	DET
cana-3469	133	4	standardizing	standardize	VERB
cana-3469	133	5	equation	equation	NOUN
cana-3469	133	6	(	(	PUNCT
cana-3469	133	7	10	10	NUM
cana-3469	133	8	)	)	PUNCT
cana-3469	133	9	.	.	PUNCT
cana-3469	134	1	𝑥×	𝑥×	NUM
cana-3469	134	2	=	=	SYM
cana-3469	135	1	𝑥	𝑥	DET
cana-3469	135	2	−	−	PROPN
cana-3469	135	3	�	�	NOUN
cana-3469	135	4	̅	̅	NOUN
cana-3469	135	5	�	�	SYM
cana-3469	135	6	𝜎	𝜎	X
cana-3469	135	7	(	(	PUNCT
cana-3469	135	8	10	10	NUM
cana-3469	135	9	)	)	PUNCT
cana-3469	135	10	5.5	5.5	NUM
cana-3469	135	11	experimental	experimental	ADJ
cana-3469	135	12	parameters	parameter	NOUN
cana-3469	135	13	setup	setup	VERB
cana-3469	135	14	the	the	DET
cana-3469	135	15	input	input	NOUN
cana-3469	135	16	layer	layer	NOUN
cana-3469	135	17	receives	receive	VERB
cana-3469	135	18	the	the	DET
cana-3469	135	19	standardized	standardized	ADJ
cana-3469	135	20	data	datum	NOUN
cana-3469	135	21	.	.	PUNCT
cana-3469	136	1	in	in	ADP
cana-3469	136	2	a	a	DET
cana-3469	136	3	convolutional	convolutional	ADJ
cana-3469	136	4	neural	neural	ADJ
cana-3469	136	5	network	network	NOUN
cana-3469	136	6	,	,	PUNCT
cana-3469	136	7	the	the	DET
cana-3469	136	8	data	data	NOUN
cana-3469	136	9	makes	make	VERB
cana-3469	136	10	its	its	PRON
cana-3469	136	11	way	way	NOUN
cana-3469	136	12	through	through	ADP
cana-3469	136	13	two	two	NUM
cana-3469	136	14	layers	layer	NOUN
cana-3469	136	15	:	:	PUNCT
cana-3469	136	16	the	the	DET
cana-3469	136	17	convolutional	convolutional	ADJ
cana-3469	136	18	and	and	CCONJ
cana-3469	136	19	the	the	DET
cana-3469	136	20	pooling	pooling	NOUN
cana-3469	136	21	.	.	PUNCT
cana-3469	137	1	the	the	DET
cana-3469	137	2	convolutional	convolutional	ADJ
cana-3469	137	3	layer	layer	NOUN
cana-3469	137	4	uses	use	VERB
cana-3469	137	5	filters	filter	NOUN
cana-3469	137	6	within	within	ADP
cana-3469	137	7	the	the	DET
cana-3469	137	8	layer	layer	NOUN
cana-3469	137	9	to	to	PART
cana-3469	137	10	represent	represent	VERB
cana-3469	137	11	the	the	DET
cana-3469	137	12	output	output	NOUN
cana-3469	137	13	dimensions	dimension	NOUN
cana-3469	137	14	.	.	PUNCT
cana-3469	138	1	the	the	DET
cana-3469	138	2	convolution	convolution	NOUN
cana-3469	138	3	layer	layer	NOUN
cana-3469	138	4	's	's	PART
cana-3469	138	5	kernel	kernel	NOUN
cana-3469	138	6	size	size	NOUN
cana-3469	138	7	is	be	AUX
cana-3469	138	8	a	a	DET
cana-3469	138	9	measure	measure	NOUN
cana-3469	138	10	of	of	ADP
cana-3469	138	11	the	the	DET
cana-3469	138	12	convolution	convolution	NOUN
cana-3469	138	13	kernel	kernel	NOUN
cana-3469	138	14	's	's	PART
cana-3469	138	15	size	size	NOUN
cana-3469	138	16	.	.	PUNCT
cana-3469	139	1	a	a	DET
cana-3469	139	2	convolution	convolution	NOUN
cana-3469	139	3	layer	layer	NOUN
cana-3469	139	4	's	's	PART
cana-3469	139	5	padding	padding	NOUN
cana-3469	139	6	is	be	AUX
cana-3469	139	7	the	the	DET
cana-3469	139	8	filler	filler	NOUN
cana-3469	139	9	used	use	VERB
cana-3469	139	10	for	for	ADP
cana-3469	139	11	the	the	DET
cana-3469	139	12	convolution	convolution	NOUN
cana-3469	139	13	process	process	NOUN
cana-3469	139	14	.	.	PUNCT
cana-3469	140	1	communications	communication	NOUN
cana-3469	140	2	on	on	ADP
cana-3469	140	3	applied	apply	VERB
cana-3469	140	4	nonlinear	nonlinear	ADJ
cana-3469	140	5	analysis	analysis	NOUN
cana-3469	140	6	issn	issn	NOUN
cana-3469	140	7	:	:	PUNCT
cana-3469	140	8	1074	1074	NUM
cana-3469	140	9	-	-	PUNCT
cana-3469	140	10	133x	133x	NUM
cana-3469	140	11	vol	vol	NOUN
cana-3469	140	12	32	32	NUM
cana-3469	140	13	no	no	NOUN
cana-3469	140	14	.	.	PUNCT
cana-3469	141	1	7s	7	NOUN
cana-3469	141	2	(	(	PUNCT
cana-3469	141	3	2025	2025	NUM
cana-3469	141	4	)	)	PUNCT
cana-3469	141	5	625	625	NUM
cana-3469	141	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3469	141	7	this	this	DET
cana-3469	141	8	research	research	NOUN
cana-3469	141	9	makes	make	VERB
cana-3469	141	10	use	use	NOUN
cana-3469	141	11	of	of	ADP
cana-3469	141	12	max	max	PROPN
cana-3469	141	13	pooling	pooling	NOUN
cana-3469	141	14	.	.	PUNCT
cana-3469	142	1	max	max	PROPN
cana-3469	142	2	pooling	pooling	NOUN
cana-3469	142	3	window	window	NOUN
cana-3469	142	4	size	size	NOUN
cana-3469	142	5	is	be	AUX
cana-3469	142	6	best	well	ADV
cana-3469	142	7	achieved	achieve	VERB
cana-3469	142	8	by	by	ADP
cana-3469	142	9	using	use	VERB
cana-3469	142	10	a	a	DET
cana-3469	142	11	layer	layer	NOUN
cana-3469	142	12	that	that	PRON
cana-3469	142	13	pools	pool	VERB
cana-3469	142	14	the	the	DET
cana-3469	142	15	size	size	NOUN
cana-3469	142	16	.	.	PUNCT
cana-3469	143	1	for	for	ADP
cana-3469	143	2	a	a	DET
cana-3469	143	3	pooling	pool	VERB
cana-3469	143	4	operation	operation	NOUN
cana-3469	143	5	,	,	PUNCT
cana-3469	143	6	the	the	DET
cana-3469	143	7	choice	choice	NOUN
cana-3469	143	8	to	to	PART
cana-3469	143	9	fill	fill	VERB
cana-3469	143	10	the	the	DET
cana-3469	143	11	edge	edge	NOUN
cana-3469	143	12	is	be	AUX
cana-3469	143	13	known	know	VERB
cana-3469	143	14	as	as	ADP
cana-3469	143	15	pooling	pool	VERB
cana-3469	143	16	layer	layer	NOUN
cana-3469	143	17	padding	padding	NOUN
cana-3469	143	18	.	.	PUNCT
cana-3469	144	1	the	the	DET
cana-3469	144	2	goal	goal	NOUN
cana-3469	144	3	of	of	ADP
cana-3469	144	4	the	the	DET
cana-3469	144	5	stlstm	stlstm	NOUN
cana-3469	144	6	optimizer	optimizer	NOUN
cana-3469	144	7	is	be	AUX
cana-3469	144	8	to	to	PART
cana-3469	144	9	get	get	VERB
cana-3469	144	10	the	the	DET
cana-3469	144	11	parameters	parameter	NOUN
cana-3469	144	12	as	as	ADV
cana-3469	144	13	close	close	ADV
cana-3469	144	14	to	to	ADP
cana-3469	144	15	the	the	DET
cana-3469	144	16	optimal	optimal	ADJ
cana-3469	144	17	value	value	NOUN
cana-3469	144	18	as	as	ADP
cana-3469	144	19	possible	possible	ADJ
cana-3469	144	20	.	.	PUNCT
cana-3469	145	1	one	one	NUM
cana-3469	145	2	parameter	parameter	NOUN
cana-3469	145	3	that	that	PRON
cana-3469	145	4	governs	govern	VERB
cana-3469	145	5	the	the	DET
cana-3469	145	6	model	model	NOUN
cana-3469	145	7	's	's	PART
cana-3469	145	8	learning	learn	VERB
cana-3469	145	9	progress	progress	NOUN
cana-3469	145	10	throughout	throughout	ADP
cana-3469	145	11	iteration	iteration	NOUN
cana-3469	145	12	is	be	AUX
cana-3469	145	13	the	the	DET
cana-3469	145	14	stlstm	stlstm	NOUN
cana-3469	145	15	learning	learning	NOUN
cana-3469	145	16	rate	rate	NOUN
cana-3469	145	17	,	,	PUNCT
cana-3469	145	18	which	which	PRON
cana-3469	145	19	is	be	AUX
cana-3469	145	20	utilized	utilize	VERB
cana-3469	145	21	to	to	PART
cana-3469	145	22	minimize	minimize	VERB
cana-3469	145	23	the	the	DET
cana-3469	145	24	model	model	NOUN
cana-3469	145	25	's	's	PART
cana-3469	145	26	error	error	NOUN
cana-3469	145	27	.	.	PUNCT
cana-3469	146	1	the	the	DET
cana-3469	146	2	choice	choice	NOUN
cana-3469	146	3	to	to	PART
cana-3469	146	4	fill	fill	VERB
cana-3469	146	5	the	the	DET
cana-3469	146	6	edge	edge	NOUN
cana-3469	146	7	for	for	ADP
cana-3469	146	8	the	the	DET
cana-3469	146	9	convolution	convolution	NOUN
cana-3469	146	10	process	process	NOUN
cana-3469	146	11	is	be	AUX
cana-3469	146	12	known	know	VERB
cana-3469	146	13	as	as	ADP
cana-3469	146	14	convolution	convolution	NOUN
cana-3469	146	15	layer	layer	NOUN
cana-3469	146	16	padding	padding	NOUN
cana-3469	146	17	.	.	PUNCT
cana-3469	147	1	max	max	PROPN
cana-3469	147	2	pooling	pooling	PROPN
cana-3469	147	3	is	be	AUX
cana-3469	147	4	used	use	VERB
cana-3469	147	5	in	in	ADP
cana-3469	147	6	this	this	DET
cana-3469	147	7	study	study	NOUN
cana-3469	147	8	.	.	PUNCT
cana-3469	148	1	the	the	DET
cana-3469	148	2	optimal	optimal	ADJ
cana-3469	148	3	size	size	NOUN
cana-3469	148	4	for	for	ADP
cana-3469	148	5	the	the	DET
cana-3469	148	6	max	max	PROPN
cana-3469	148	7	pooling	pooling	NOUN
cana-3469	148	8	window	window	NOUN
cana-3469	148	9	is	be	AUX
cana-3469	148	10	the	the	DET
cana-3469	148	11	pooling	pool	VERB
cana-3469	148	12	layer	layer	NOUN
cana-3469	148	13	pool	pool	NOUN
cana-3469	148	14	size	size	NOUN
cana-3469	148	15	.	.	PUNCT
cana-3469	149	1	for	for	ADP
cana-3469	149	2	a	a	DET
cana-3469	149	3	pooling	pool	VERB
cana-3469	149	4	operation	operation	NOUN
cana-3469	149	5	,	,	PUNCT
cana-3469	149	6	the	the	DET
cana-3469	149	7	choice	choice	NOUN
cana-3469	149	8	to	to	PART
cana-3469	149	9	fill	fill	VERB
cana-3469	149	10	the	the	DET
cana-3469	149	11	edge	edge	NOUN
cana-3469	149	12	is	be	AUX
cana-3469	149	13	known	know	VERB
cana-3469	149	14	as	as	ADP
cana-3469	149	15	pooling	pool	VERB
cana-3469	149	16	layer	layer	NOUN
cana-3469	149	17	padding	padding	NOUN
cana-3469	149	18	.	.	PUNCT
cana-3469	150	1	the	the	DET
cana-3469	150	2	goal	goal	NOUN
cana-3469	150	3	of	of	ADP
cana-3469	150	4	the	the	DET
cana-3469	150	5	stlstm	stlstm	NOUN
cana-3469	150	6	optimizer	optimizer	NOUN
cana-3469	150	7	is	be	AUX
cana-3469	150	8	to	to	PART
cana-3469	150	9	get	get	VERB
cana-3469	150	10	the	the	DET
cana-3469	150	11	parameters	parameter	NOUN
cana-3469	150	12	as	as	ADV
cana-3469	150	13	close	close	ADV
cana-3469	150	14	to	to	ADP
cana-3469	150	15	the	the	DET
cana-3469	150	16	optimal	optimal	ADJ
cana-3469	150	17	value	value	NOUN
cana-3469	150	18	as	as	ADP
cana-3469	150	19	possible	possible	ADJ
cana-3469	150	20	.	.	PUNCT
cana-3469	151	1	one	one	NUM
cana-3469	151	2	parameter	parameter	NOUN
cana-3469	151	3	that	that	PRON
cana-3469	151	4	governs	govern	VERB
cana-3469	151	5	the	the	DET
cana-3469	151	6	model	model	NOUN
cana-3469	151	7	's	's	PART
cana-3469	151	8	learning	learn	VERB
cana-3469	151	9	progress	progress	NOUN
cana-3469	151	10	throughout	throughout	ADP
cana-3469	151	11	iteration	iteration	NOUN
cana-3469	151	12	is	be	AUX
cana-3469	151	13	the	the	DET
cana-3469	151	14	stlstm	stlstm	NOUN
cana-3469	151	15	learning	learning	NOUN
cana-3469	151	16	rate	rate	NOUN
cana-3469	151	17	,	,	PUNCT
cana-3469	151	18	which	which	PRON
cana-3469	151	19	is	be	AUX
cana-3469	151	20	utilized	utilize	VERB
cana-3469	151	21	to	to	PART
cana-3469	151	22	minimize	minimize	VERB
cana-3469	151	23	the	the	DET
cana-3469	151	24	model	model	NOUN
cana-3469	151	25	's	's	PART
cana-3469	151	26	error	error	NOUN
cana-3469	151	27	.	.	PUNCT
cana-3469	152	1	iterations	iteration	NOUN
cana-3469	152	2	are	be	AUX
cana-3469	152	3	represented	represent	VERB
cana-3469	152	4	by	by	ADP
cana-3469	152	5	stlstm	stlstm	NOUN
cana-3469	152	6	epochs	epoch	NOUN
cana-3469	152	7	.	.	PUNCT
cana-3469	153	1	incorrect	incorrect	ADJ
cana-3469	153	2	selection	selection	NOUN
cana-3469	153	3	of	of	ADP
cana-3469	153	4	the	the	DET
cana-3469	153	5	value	value	NOUN
cana-3469	153	6	will	will	AUX
cana-3469	153	7	lead	lead	VERB
cana-3469	153	8	to	to	ADP
cana-3469	153	9	either	either	CCONJ
cana-3469	153	10	overfitting	overfitte	VERB
cana-3469	153	11	or	or	CCONJ
cana-3469	153	12	underfitting	underfitting	NOUN
cana-3469	153	13	.	.	PUNCT
cana-3469	154	1	the	the	DET
cana-3469	154	2	stlstm	stlstm	NOUN
cana-3469	154	3	batch	batch	NOUN
cana-3469	154	4	size	size	NOUN
cana-3469	154	5	measures	measure	NOUN
cana-3469	154	6	how	how	SCONJ
cana-3469	154	7	many	many	ADJ
cana-3469	154	8	samples	sample	NOUN
cana-3469	154	9	were	be	AUX
cana-3469	154	10	collected	collect	VERB
cana-3469	154	11	for	for	ADP
cana-3469	154	12	each	each	DET
cana-3469	154	13	training	training	NOUN
cana-3469	154	14	run	run	NOUN
cana-3469	154	15	.	.	PUNCT
cana-3469	155	1	the	the	DET
cana-3469	155	2	optimal	optimal	ADJ
cana-3469	155	3	convergence	convergence	NOUN
cana-3469	155	4	accuracy	accuracy	NOUN
cana-3469	155	5	of	of	ADP
cana-3469	155	6	the	the	DET
cana-3469	155	7	model	model	NOUN
cana-3469	155	8	is	be	AUX
cana-3469	155	9	achieved	achieve	VERB
cana-3469	155	10	by	by	ADP
cana-3469	155	11	using	use	VERB
cana-3469	155	12	an	an	DET
cana-3469	155	13	appropriate	appropriate	ADJ
cana-3469	155	14	stlstm	stlstm	NOUN
cana-3469	155	15	batch	batch	NOUN
cana-3469	155	16	size	size	NOUN
cana-3469	155	17	.	.	PUNCT
cana-3469	156	1	5.6	5.6	NUM
cana-3469	156	2	results	result	NOUN
cana-3469	156	3	and	and	CCONJ
cana-3469	156	4	analysis	analysis	NOUN
cana-3469	156	5	of	of	ADP
cana-3469	156	6	experiments	experiment	NOUN
cana-3469	156	7	this	this	DET
cana-3469	156	8	study	study	NOUN
cana-3469	156	9	verifies	verify	VERB
cana-3469	156	10	the	the	DET
cana-3469	156	11	cnn	cnn	PROPN
cana-3469	156	12	-	-	PUNCT
cana-3469	156	13	stlstm	stlstm	NOUN
cana-3469	156	14	-	-	PUNCT
cana-3469	156	15	am	am	NOUN
cana-3469	156	16	's	's	PART
cana-3469	156	17	forecasting	forecasting	NOUN
cana-3469	156	18	impact	impact	NOUN
cana-3469	156	19	by	by	ADP
cana-3469	156	20	comparing	compare	VERB
cana-3469	156	21	its	its	PRON
cana-3469	156	22	predicted	predict	VERB
cana-3469	156	23	value	value	NOUN
cana-3469	156	24	with	with	ADP
cana-3469	156	25	cnn	cnn	PROPN
cana-3469	156	26	,	,	PUNCT
cana-3469	156	27	svr	svr	PROPN
cana-3469	156	28	,	,	PUNCT
cana-3469	156	29	gru	gru	NOUN
cana-3469	156	30	-	-	NOUN
cana-3469	156	31	lstm	lstm	ADJ
cana-3469	156	32	,	,	PUNCT
cana-3469	156	33	cnn	cnn	PROPN
cana-3469	156	34	-	-	PUNCT
cana-3469	156	35	lstm	lstm	PROPN
cana-3469	156	36	,	,	PUNCT
cana-3469	156	37	lstm	lstm	NOUN
cana-3469	156	38	and	and	CCONJ
cana-3469	156	39	cnn	cnn	PROPN
cana-3469	156	40	-	-	PUNCT
cana-3469	156	41	lstm	lstm	PROPN
cana-3469	156	42	to	to	PART
cana-3469	156	43	am	am	VERB
cana-3469	156	44	.	.	PUNCT
cana-3469	157	1	in	in	ADP
cana-3469	157	2	order	order	NOUN
cana-3469	157	3	to	to	PART
cana-3469	157	4	measure	measure	VERB
cana-3469	157	5	and	and	CCONJ
cana-3469	157	6	compare	compare	VERB
cana-3469	157	7	the	the	DET
cana-3469	157	8	seven	seven	NUM
cana-3469	157	9	models	model	NOUN
cana-3469	157	10	'	'	PART
cana-3469	157	11	predicting	predicting	NOUN
cana-3469	157	12	accuracy	accuracy	NOUN
cana-3469	157	13	,	,	PUNCT
cana-3469	157	14	the	the	DET
cana-3469	157	15	experiments	experiment	NOUN
cana-3469	157	16	use	use	VERB
cana-3469	157	17	rmse	rmse	NOUN
cana-3469	157	18	,	,	PUNCT
cana-3469	157	19	r	r	NOUN
cana-3469	157	20	-	-	PUNCT
cana-3469	157	21	squared	square	VERB
cana-3469	157	22	,	,	PUNCT
cana-3469	157	23	mae	mae	PROPN
cana-3469	157	24	,	,	PUNCT
cana-3469	157	25	and	and	CCONJ
cana-3469	157	26	training	training	NOUN
cana-3469	157	27	time	time	NOUN
cana-3469	157	28	.	.	PUNCT
cana-3469	158	1	the	the	DET
cana-3469	158	2	first	first	ADJ
cana-3469	158	3	step	step	NOUN
cana-3469	158	4	is	be	AUX
cana-3469	158	5	to	to	PART
cana-3469	158	6	train	train	VERB
cana-3469	158	7	the	the	DET
cana-3469	158	8	training	training	NOUN
cana-3469	158	9	set	set	NOUN
cana-3469	158	10	using	use	VERB
cana-3469	158	11	several	several	ADJ
cana-3469	158	12	methods	method	NOUN
cana-3469	158	13	.	.	PUNCT
cana-3469	159	1	these	these	DET
cana-3469	159	2	methods	method	NOUN
cana-3469	159	3	include	include	VERB
cana-3469	159	4	cnn	cnn	PROPN
cana-3469	159	5	,	,	PUNCT
cana-3469	159	6	svr	svr	PROPN
cana-3469	159	7	,	,	PUNCT
cana-3469	159	8	gru	gru	NOUN
cana-3469	159	9	-	-	NOUN
cana-3469	159	10	lstm	lstm	ADJ
cana-3469	159	11	,	,	PUNCT
cana-3469	159	12	lstm	lstm	PROPN
cana-3469	159	13	,	,	PUNCT
cana-3469	159	14	cnn	cnn	PROPN
cana-3469	159	15	-	-	PUNCT
cana-3469	159	16	lstm	lstm	PROPN
cana-3469	159	17	-	-	PUNCT
cana-3469	159	18	am	am	NOUN
cana-3469	159	19	,	,	PUNCT
cana-3469	159	20	cnn	cnn	PROPN
cana-3469	159	21	-	-	PUNCT
cana-3469	159	22	lstm	lstm	PROPN
cana-3469	159	23	and	and	CCONJ
cana-3469	159	24	cnn	cnn	PROPN
cana-3469	159	25	-	-	PUNCT
cana-3469	159	26	stlstm	stlstm	NOUN
cana-3469	159	27	to	to	PART
cana-3469	159	28	am	am	VERB
cana-3469	159	29	.	.	PUNCT
cana-3469	160	1	data	datum	NOUN
cana-3469	160	2	normalization	normalization	NOUN
cana-3469	160	3	is	be	AUX
cana-3469	160	4	applied	apply	VERB
cana-3469	160	5	to	to	ADP
cana-3469	160	6	the	the	DET
cana-3469	160	7	training	training	NOUN
cana-3469	160	8	set	set	VERB
cana-3469	160	9	during	during	ADP
cana-3469	160	10	processing	processing	NOUN
cana-3469	160	11	.	.	PUNCT
cana-3469	161	1	two	two	NUM
cana-3469	161	2	,	,	PUNCT
cana-3469	161	3	the	the	DET
cana-3469	161	4	following	follow	VERB
cana-3469	161	5	trading	trading	NOUN
cana-3469	161	6	day	day	NOUN
cana-3469	161	7	,	,	PUNCT
cana-3469	161	8	the	the	DET
cana-3469	161	9	trained	train	VERB
cana-3469	161	10	model	model	NOUN
cana-3469	161	11	predicts	predict	VERB
cana-3469	161	12	what	what	PRON
cana-3469	161	13	the	the	DET
cana-3469	161	14	usd	usd	NOUN
cana-3469	161	15	exchange	exchange	NOUN
cana-3469	161	16	rate	rate	NOUN
cana-3469	161	17	will	will	AUX
cana-3469	161	18	close	close	VERB
cana-3469	161	19	at	at	ADP
cana-3469	161	20	.	.	PUNCT
cana-3469	162	1	lastly	lastly	ADV
cana-3469	162	2	,	,	PUNCT
cana-3469	162	3	figure	figure	VERB
cana-3469	162	4	5	5	NUM
cana-3469	162	5	demonstrates	demonstrate	VERB
cana-3469	162	6	the	the	DET
cana-3469	162	7	comparisons	comparison	NOUN
cana-3469	162	8	between	between	ADP
cana-3469	162	9	the	the	DET
cana-3469	162	10	real	real	ADJ
cana-3469	162	11	and	and	CCONJ
cana-3469	162	12	forecasted	forecast	VERB
cana-3469	162	13	values	value	NOUN
cana-3469	162	14	.	.	PUNCT
cana-3469	163	1	figure	figure	VERB
cana-3469	163	2	5	5	NUM
cana-3469	163	3	cnn	cnn	NOUN
cana-3469	163	4	or	or	CCONJ
cana-3469	163	5	true	true	ADJ
cana-3469	163	6	value	value	NOUN
cana-3469	163	7	stlstm	stlstm	NOUN
cana-3469	163	8	-	-	PUNCT
cana-3469	163	9	am	am	NOUN
cana-3469	163	10	predicted	predict	VERB
cana-3469	163	11	level	level	NOUN
cana-3469	163	12	out	out	ADP
cana-3469	163	13	of	of	ADP
cana-3469	163	14	the	the	DET
cana-3469	163	15	seven	seven	NUM
cana-3469	163	16	models	model	NOUN
cana-3469	163	17	for	for	ADP
cana-3469	163	18	forecasting	forecasting	NOUN
cana-3469	163	19	,	,	PUNCT
cana-3469	163	20	cnn	cnn	PROPN
cana-3469	163	21	-	-	PUNCT
cana-3469	163	22	lstm	lstm	PROPN
cana-3469	163	23	-	-	PUNCT
cana-3469	163	24	am	am	NOUN
cana-3469	163	25	,	,	PUNCT
cana-3469	163	26	cnn	cnn	PROPN
cana-3469	163	27	-	-	PUNCT
cana-3469	163	28	stlstm	stlstm	NOUN
cana-3469	163	29	-	-	PUNCT
cana-3469	163	30	am	am	NOUN
cana-3469	163	31	,	,	PUNCT
cana-3469	163	32	gru	gru	NOUN
cana-3469	163	33	-	-	NOUN
cana-3469	163	34	lstm	lstm	ADJ
cana-3469	163	35	,	,	PUNCT
cana-3469	163	36	lstm	lstm	ADJ
cana-3469	163	37	,	,	PUNCT
cana-3469	163	38	and	and	CCONJ
cana-3469	163	39	svr	svr	PROPN
cana-3469	163	40	and	and	CCONJ
cana-3469	163	41	cnn	cnn	PROPN
cana-3469	163	42	are	be	AUX
cana-3469	163	43	in	in	ADP
cana-3469	163	44	the	the	DET
cana-3469	163	45	order	order	NOUN
cana-3469	163	46	of	of	ADP
cana-3469	163	47	the	the	DET
cana-3469	163	48	degree	degree	NOUN
cana-3469	163	49	of	of	ADP
cana-3469	163	50	match	match	NOUN
cana-3469	163	51	between	between	ADP
cana-3469	163	52	the	the	DET
cana-3469	163	53	actual	actual	ADJ
cana-3469	163	54	and	and	CCONJ
cana-3469	163	55	predicted	predict	VERB
cana-3469	163	56	values	value	NOUN
cana-3469	163	57	.	.	PUNCT
cana-3469	164	1	among	among	ADP
cana-3469	164	2	the	the	DET
cana-3469	164	3	models	model	NOUN
cana-3469	164	4	tested	test	VERB
cana-3469	164	5	,	,	PUNCT
cana-3469	164	6	cnn	cnn	PROPN
cana-3469	164	7	-	-	PUNCT
cana-3469	164	8	stlstm	stlstm	NOUN
cana-3469	164	9	to	to	PART
cana-3469	164	10	am	am	VERB
cana-3469	164	11	has	have	VERB
cana-3469	164	12	the	the	DET
cana-3469	164	13	best	good	ADJ
cana-3469	164	14	correct	correct	ADJ
cana-3469	164	15	grade	grade	NOUN
cana-3469	164	16	,	,	PUNCT
cana-3469	164	17	meaning	mean	VERB
cana-3469	164	18	that	that	SCONJ
cana-3469	164	19	its	its	PRON
cana-3469	164	20	predicted	predict	VERB
cana-3469	164	21	value	value	NOUN
cana-3469	164	22	agrees	agree	VERB
cana-3469	164	23	with	with	ADP
cana-3469	164	24	the	the	DET
cana-3469	164	25	actual	actual	ADJ
cana-3469	164	26	price	price	NOUN
cana-3469	164	27	,	,	PUNCT
cana-3469	164	28	whereas	whereas	SCONJ
cana-3469	164	29	svr	svr	PROPN
cana-3469	164	30	has	have	VERB
cana-3469	164	31	the	the	DET
cana-3469	164	32	worst	bad	ADJ
cana-3469	164	33	.	.	PUNCT
cana-3469	165	1	each	each	DET
cana-3469	165	2	model	model	NOUN
cana-3469	165	3	's	's	PART
cana-3469	165	4	assessment	assessment	NOUN
cana-3469	165	5	indicators	indicator	NOUN
cana-3469	165	6	may	may	AUX
cana-3469	165	7	be	be	AUX
cana-3469	165	8	calculated	calculate	VERB
cana-3469	165	9	based	base	VERB
cana-3469	165	10	on	on	ADP
cana-3469	165	11	the	the	DET
cana-3469	165	12	anticipated	anticipate	VERB
cana-3469	165	13	and	and	CCONJ
cana-3469	165	14	real	real	ADJ
cana-3469	165	15	values	value	NOUN
cana-3469	165	16	.	.	PUNCT
cana-3469	166	1	figures	figure	NOUN
cana-3469	166	2	6–9	6–9	NUM
cana-3469	166	3	show	show	VERB
cana-3469	166	4	the	the	DET
cana-3469	166	5	outcomes	outcome	NOUN
cana-3469	166	6	of	of	ADP
cana-3469	166	7	the	the	DET
cana-3469	166	8	seven	seven	NUM
cana-3469	166	9	models	model	NOUN
cana-3469	166	10	'	'	PART
cana-3469	166	11	comparisons	comparison	NOUN
cana-3469	166	12	.	.	PUNCT
cana-3469	167	1	the	the	DET
cana-3469	167	2	least	least	ADJ
cana-3469	167	3	rmse	rmse	NOUN
cana-3469	167	4	and	and	CCONJ
cana-3469	167	5	mae	mae	PROPN
cana-3469	167	6	,	,	PUNCT
cana-3469	167	7	the	the	DET
cana-3469	167	8	closest	close	ADJ
cana-3469	167	9	𝑅2	𝑅2	NOUN
cana-3469	167	10	to	to	ADP
cana-3469	167	11	1	1	NUM
cana-3469	167	12	,	,	PUNCT
cana-3469	167	13	and	and	CCONJ
cana-3469	167	14	the	the	DET
cana-3469	167	15	shortest	short	ADJ
cana-3469	167	16	training	training	NOUN
cana-3469	167	17	time	time	NOUN
cana-3469	167	18	of	of	ADP
cana-3469	167	19	19.0767	19.0767	NUM
cana-3469	167	20	s	s	NOUN
cana-3469	167	21	are	be	AUX
cana-3469	167	22	all	all	PRON
cana-3469	167	23	shown	show	VERB
cana-3469	167	24	in	in	ADP
cana-3469	167	25	figures	figure	NOUN
cana-3469	167	26	6–9	6–9	PROPN
cana-3469	167	27	.	.	PUNCT
cana-3469	168	1	cnn	cnn	PROPN
cana-3469	168	2	-	-	PUNCT
cana-3469	168	3	stlstm	stlstm	NOUN
cana-3469	168	4	-	-	PUNCT
cana-3469	168	5	am	am	NOUN
cana-3469	168	6	is	be	AUX
cana-3469	168	7	the	the	DET
cana-3469	168	8	best	good	ADJ
cana-3469	168	9	model	model	NOUN
cana-3469	168	10	.	.	PUNCT
cana-3469	169	1	according	accord	VERB
cana-3469	169	2	to	to	ADP
cana-3469	169	3	the	the	DET
cana-3469	169	4	findings	finding	NOUN
cana-3469	169	5	,	,	PUNCT
cana-3469	169	6	cnnstlstm	cnnstlstm	NOUN
cana-3469	169	7	-	-	PUNCT
cana-3469	169	8	am	am	NOUN
cana-3469	169	9	outperforms	outperform	NOUN
cana-3469	169	10	svr	svr	PROPN
cana-3469	169	11	in	in	ADP
cana-3469	169	12	terms	term	NOUN
cana-3469	169	13	of	of	ADP
cana-3469	169	14	predicting	predict	VERB
cana-3469	169	15	accuracy	accuracy	NOUN
cana-3469	169	16	.	.	PUNCT
cana-3469	170	1	according	accord	VERB
cana-3469	170	2	to	to	ADP
cana-3469	170	3	the	the	DET
cana-3469	170	4	findings	finding	NOUN
cana-3469	170	5	,	,	PUNCT
cana-3469	170	6	deep	deep	ADJ
cana-3469	170	7	learning	learning	NOUN
cana-3469	170	8	outperforms	outperform	VERB
cana-3469	170	9	machine	machine	NOUN
cana-3469	170	10	learning	learning	NOUN
cana-3469	170	11	when	when	SCONJ
cana-3469	170	12	it	it	PRON
cana-3469	170	13	comes	come	VERB
cana-3469	170	14	to	to	ADP
cana-3469	170	15	time	time	NOUN
cana-3469	170	16	series	series	PROPN
cana-3469	170	17	forecasting	forecasting	NOUN
cana-3469	170	18	.	.	PUNCT
cana-3469	171	1	there	there	PRON
cana-3469	171	2	is	be	VERB
cana-3469	171	3	a	a	DET
cana-3469	171	4	0.06	0.06	NUM
cana-3469	171	5	%	%	NOUN
cana-3469	171	6	communications	communication	NOUN
cana-3469	171	7	on	on	ADP
cana-3469	171	8	applied	apply	VERB
cana-3469	171	9	nonlinear	nonlinear	ADJ
cana-3469	171	10	analysis	analysis	NOUN
cana-3469	171	11	issn	issn	NOUN
cana-3469	171	12	:	:	PUNCT
cana-3469	171	13	1074	1074	NUM
cana-3469	171	14	-	-	PUNCT
cana-3469	171	15	133x	133x	NUM
cana-3469	171	16	vol	vol	NOUN
cana-3469	171	17	32	32	NUM
cana-3469	171	18	no	no	NOUN
cana-3469	171	19	.	.	PUNCT
cana-3469	172	1	7s	7	NOUN
cana-3469	172	2	(	(	PUNCT
cana-3469	172	3	2025	2025	NUM
cana-3469	172	4	)	)	PUNCT
cana-3469	172	5	626	626	NUM
cana-3469	172	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3469	172	7	improvement	improvement	NOUN
cana-3469	172	8	in	in	ADP
cana-3469	172	9	𝑅2	𝑅2	NOUN
cana-3469	172	10	,	,	PUNCT
cana-3469	172	11	a	a	DET
cana-3469	172	12	drop	drop	NOUN
cana-3469	172	13	in	in	ADP
cana-3469	172	14	mae	mae	PROPN
cana-3469	172	15	from	from	ADP
cana-3469	172	16	0.0225	0.0225	NUM
cana-3469	172	17	to	to	ADP
cana-3469	172	18	0.0222	0.0222	NUM
cana-3469	172	19	,	,	PUNCT
cana-3469	172	20	and	and	CCONJ
cana-3469	172	21	an	an	DET
cana-3469	172	22	improvement	improvement	NOUN
cana-3469	172	23	in	in	ADP
cana-3469	172	24	rmse	rmse	NOUN
cana-3469	172	25	from	from	ADP
cana-3469	172	26	0.0302	0.0302	NUM
cana-3469	172	27	to	to	ADP
cana-3469	172	28	0.0297	0.0297	NUM
cana-3469	172	29	when	when	SCONJ
cana-3469	172	30	using	use	VERB
cana-3469	172	31	gru	gru	NOUN
cana-3469	172	32	-	-	NOUN
cana-3469	172	33	lstm	lstm	ADJ
cana-3469	172	34	instead	instead	ADV
cana-3469	172	35	of	of	ADP
cana-3469	172	36	lstm	lstm	NOUN
cana-3469	172	37	.	.	PUNCT
cana-3469	173	1	the	the	DET
cana-3469	173	2	results	result	NOUN
cana-3469	173	3	demonstrate	demonstrate	VERB
cana-3469	173	4	that	that	SCONJ
cana-3469	173	5	compared	compare	VERB
cana-3469	173	6	to	to	ADP
cana-3469	173	7	lstm	lstm	PROPN
cana-3469	173	8	,	,	PUNCT
cana-3469	173	9	gru	gru	NOUN
cana-3469	173	10	-	-	NOUN
cana-3469	173	11	lstm	lstm	ADJ
cana-3469	173	12	achieves	achieve	VERB
cana-3469	173	13	better	well	ADV
cana-3469	173	14	predicting	predict	VERB
cana-3469	173	15	accuracy	accuracy	NOUN
cana-3469	173	16	.	.	PUNCT
cana-3469	174	1	in	in	ADP
cana-3469	174	2	comparison	comparison	NOUN
cana-3469	174	3	to	to	ADP
cana-3469	174	4	gru	gru	VERB
cana-3469	174	5	-	-	NOUN
cana-3469	174	6	lstm	lstm	ADJ
cana-3469	174	7	,	,	PUNCT
cana-3469	174	8	cnn	cnn	PROPN
cana-3469	174	9	-	-	PUNCT
cana-3469	174	10	lstm	lstm	PROPN
cana-3469	174	11	achieves	achieve	VERB
cana-3469	174	12	lower	low	ADJ
cana-3469	174	13	root	root	NOUN
cana-3469	174	14	-	-	PUNCT
cana-3469	174	15	mean	mean	NOUN
cana-3469	174	16	-	-	PUNCT
cana-3469	174	17	squared	square	VERB
cana-3469	174	18	errors	error	NOUN
cana-3469	174	19	(	(	PUNCT
cana-3469	174	20	rmse	rmse	NOUN
cana-3469	174	21	)	)	PUNCT
cana-3469	174	22	and	and	CCONJ
cana-3469	174	23	more	more	ADV
cana-3469	174	24	accurate	accurate	ADJ
cana-3469	174	25	estimates	estimate	NOUN
cana-3469	174	26	(	(	PUNCT
cana-3469	174	27	mae	mae	PROPN
cana-3469	174	28	)	)	PUNCT
cana-3469	174	29	with	with	ADP
cana-3469	174	30	an	an	DET
cana-3469	174	31	increase	increase	NOUN
cana-3469	174	32	of	of	ADP
cana-3469	174	33	0.20	0.20	NUM
cana-3469	174	34	per	per	ADP
cana-3469	174	35	cent	cent	NOUN
cana-3469	174	36	(	(	PUNCT
cana-3469	174	37	𝑅2	𝑅2	NOUN
cana-3469	174	38	)	)	PUNCT
cana-3469	174	39	and	and	CCONJ
cana-3469	174	40	a	a	DET
cana-3469	174	41	drop	drop	NOUN
cana-3469	174	42	of	of	ADP
cana-3469	174	43	0.297	0.297	NUM
cana-3469	174	44	per	per	ADP
cana-3469	174	45	cent	cent	NOUN
cana-3469	174	46	(	(	PUNCT
cana-3469	174	47	rmse	rmse	NOUN
cana-3469	174	48	)	)	PUNCT
cana-3469	174	49	and	and	CCONJ
cana-3469	174	50	0.2224	0.2224	NUM
cana-3469	174	51	per	per	ADP
cana-3469	174	52	cent	cent	NOUN
cana-3469	174	53	(	(	PUNCT
cana-3469	174	54	mae	mae	PROPN
cana-3469	174	55	)	)	PUNCT
cana-3469	174	56	,	,	PUNCT
cana-3469	174	57	respectively	respectively	ADV
cana-3469	174	58	.	.	PUNCT
cana-3469	175	1	the	the	DET
cana-3469	175	2	findings	finding	NOUN
cana-3469	175	3	demonstrate	demonstrate	VERB
cana-3469	175	4	that	that	SCONJ
cana-3469	175	5	lstm	lstm	PROPN
cana-3469	175	6	's	's	PART
cana-3469	175	7	predicting	predict	VERB
cana-3469	175	8	accuracy	accuracy	NOUN
cana-3469	175	9	may	may	AUX
cana-3469	175	10	be	be	AUX
cana-3469	175	11	enhanced	enhance	VERB
cana-3469	175	12	by	by	ADP
cana-3469	175	13	using	use	VERB
cana-3469	175	14	its	its	PRON
cana-3469	175	15	eigenvalues	eigenvalue	NOUN
cana-3469	175	16	of	of	ADP
cana-3469	175	17	the	the	DET
cana-3469	175	18	initial	initial	ADJ
cana-3469	175	19	information	information	NOUN
cana-3469	175	20	collected	collect	VERB
cana-3469	175	21	by	by	ADP
cana-3469	175	22	cnn	cnn	PROPN
cana-3469	175	23	.	.	PUNCT
cana-3469	176	1	when	when	SCONJ
cana-3469	176	2	comparing	compare	VERB
cana-3469	176	3	cnn	cnn	PROPN
cana-3469	176	4	-	-	PUNCT
cana-3469	176	5	lstm	lstm	NOUN
cana-3469	176	6	-	-	PUNCT
cana-3469	176	7	am	am	NOUN
cana-3469	176	8	to	to	ADP
cana-3469	176	9	cnn	cnn	PROPN
cana-3469	176	10	-	-	PUNCT
cana-3469	176	11	lstm	lstm	PROPN
cana-3469	176	12	,	,	PUNCT
cana-3469	176	13	we	we	PRON
cana-3469	176	14	see	see	VERB
cana-3469	176	15	a	a	DET
cana-3469	176	16	drop	drop	NOUN
cana-3469	176	17	in	in	ADP
cana-3469	176	18	rmse	rmse	NOUN
cana-3469	176	19	,	,	PUNCT
cana-3469	176	20	a	a	DET
cana-3469	176	21	decrease	decrease	NOUN
cana-3469	176	22	in	in	ADP
cana-3469	176	23	mae	mae	PROPN
cana-3469	176	24	,	,	PUNCT
cana-3469	176	25	and	and	CCONJ
cana-3469	176	26	a	a	DET
cana-3469	176	27	gain	gain	NOUN
cana-3469	176	28	of	of	ADP
cana-3469	176	29	0.26	0.26	NUM
cana-3469	176	30	%	%	NOUN
cana-3469	176	31	in	in	ADP
cana-3469	176	32	𝑅2	𝑅2	NOUN
cana-3469	176	33	.	.	PUNCT
cana-3469	177	1	figure	figure	VERB
cana-3469	177	2	6	6	NUM
cana-3469	177	3	rmse	rmse	PROPN
cana-3469	177	4	comparison	comparison	NOUN
cana-3469	177	5	figure	figure	NOUN
cana-3469	177	6	7	7	NUM
cana-3469	177	7	mae	mae	PROPN
cana-3469	177	8	comparison	comparison	NOUN
cana-3469	177	9	figure	figure	NOUN
cana-3469	177	10	8	8	NUM
cana-3469	177	11	𝑅2	𝑅2	NOUN
cana-3469	177	12	comparison	comparison	NOUN
cana-3469	177	13	figure	figure	NOUN
cana-3469	177	14	9	9	NUM
cana-3469	177	15	comparison	comparison	NOUN
cana-3469	177	16	of	of	ADP
cana-3469	177	17	training	training	NOUN
cana-3469	177	18	times	time	NOUN
cana-3469	177	19	the	the	DET
cana-3469	177	20	results	result	NOUN
cana-3469	177	21	demonstrate	demonstrate	VERB
cana-3469	177	22	that	that	SCONJ
cana-3469	177	23	cnn	cnn	PROPN
cana-3469	177	24	-	-	PUNCT
cana-3469	177	25	lstm	lstm	PROPN
cana-3469	177	26	's	's	PART
cana-3469	177	27	forecasting	forecasting	NOUN
cana-3469	177	28	accuracy	accuracy	NOUN
cana-3469	177	29	may	may	AUX
cana-3469	177	30	be	be	AUX
cana-3469	177	31	enhanced	enhance	VERB
cana-3469	177	32	by	by	ADP
cana-3469	177	33	using	use	VERB
cana-3469	177	34	the	the	DET
cana-3469	177	35	am	am	NOUN
cana-3469	177	36	to	to	PART
cana-3469	177	37	assign	assign	VERB
cana-3469	177	38	matching	match	VERB
cana-3469	177	39	weights	weight	NOUN
cana-3469	177	40	to	to	PART
cana-3469	177	41	distinct	distinct	ADJ
cana-3469	177	42	eigenvalues	eigenvalue	NOUN
cana-3469	177	43	.	.	PUNCT
cana-3469	178	1	in	in	ADP
cana-3469	178	2	comparison	comparison	NOUN
cana-3469	178	3	to	to	ADP
cana-3469	178	4	cnn	cnn	PROPN
cana-3469	178	5	-	-	PUNCT
cana-3469	178	6	lstm	lstm	PROPN
cana-3469	178	7	-	-	PUNCT
cana-3469	178	8	am	am	NOUN
cana-3469	178	9	,	,	PUNCT
cana-3469	178	10	cnn	cnn	PROPN
cana-3469	178	11	-	-	PUNCT
cana-3469	178	12	stlstmam	stlstmam	NOUN
cana-3469	178	13	has	have	VERB
cana-3469	178	14	a	a	DET
cana-3469	178	15	reduced	reduce	VERB
cana-3469	178	16	root	root	NOUN
cana-3469	178	17	-	-	PUNCT
cana-3469	178	18	mean	mean	NOUN
cana-3469	178	19	-	-	PUNCT
cana-3469	178	20	squared	square	VERB
cana-3469	178	21	error	error	NOUN
cana-3469	178	22	of	of	ADP
cana-3469	178	23	11.17	11.17	NUM
cana-3469	178	24	%	%	NOUN
cana-3469	178	25	,	,	PUNCT
cana-3469	178	26	an	an	DET
cana-3469	178	27	mae	mae	PROPN
cana-3469	178	28	of	of	ADP
cana-3469	178	29	15.88	15.88	NUM
cana-3469	178	30	%	%	NOUN
cana-3469	178	31	,	,	PUNCT
cana-3469	178	32	and	and	CCONJ
cana-3469	178	33	an	an	DET
cana-3469	178	34	𝑅2	𝑅2	NOUN
cana-3469	178	35	of	of	ADP
cana-3469	178	36	0.20	0.20	NUM
cana-3469	178	37	%	%	NOUN
cana-3469	178	38	.	.	PUNCT
cana-3469	179	1	the	the	DET
cana-3469	179	2	findings	finding	NOUN
cana-3469	179	3	demonstrate	demonstrate	VERB
cana-3469	179	4	that	that	SCONJ
cana-3469	179	5	stlstm	stlstm	NOUN
cana-3469	179	6	significantly	significantly	ADV
cana-3469	179	7	enhances	enhance	VERB
cana-3469	179	8	predicting	predict	VERB
cana-3469	179	9	accuracy	accuracy	NOUN
cana-3469	179	10	.	.	PUNCT
cana-3469	180	1	starting	start	VERB
cana-3469	180	2	with	with	ADP
cana-3469	180	3	cnnlstm	cnnlstm	NOUN
cana-3469	180	4	to	to	PART
cana-3469	180	5	am	am	VERB
cana-3469	180	6	and	and	CCONJ
cana-3469	180	7	working	work	VERB
cana-3469	180	8	this	this	DET
cana-3469	180	9	way	way	NOUN
cana-3469	180	10	down	down	ADV
cana-3469	180	11	to	to	ADP
cana-3469	180	12	svr	svr	PROPN
cana-3469	180	13	,	,	PUNCT
cana-3469	180	14	gru	gru	NOUN
cana-3469	180	15	-	-	NOUN
cana-3469	180	16	lstm	lstm	ADJ
cana-3469	180	17	,	,	PUNCT
cana-3469	180	18	cnn	cnn	PROPN
cana-3469	180	19	-	-	PUNCT
cana-3469	180	20	lstm	lstm	PROPN
cana-3469	180	21	,	,	PUNCT
cana-3469	180	22	cnn	cnn	PROPN
cana-3469	180	23	and	and	CCONJ
cana-3469	180	24	lstm	lstm	NOUN
cana-3469	180	25	are	be	AUX
cana-3469	180	26	the	the	DET
cana-3469	180	27	method	method	NOUN
cana-3469	180	28	training	training	NOUN
cana-3469	180	29	times	time	NOUN
cana-3469	180	30	,	,	PUNCT
cana-3469	180	31	in	in	ADP
cana-3469	180	32	descending	descend	VERB
cana-3469	180	33	order	order	NOUN
cana-3469	180	34	of	of	ADP
cana-3469	180	35	length	length	NOUN
cana-3469	180	36	.	.	PUNCT
cana-3469	181	1	the	the	DET
cana-3469	181	2	cnn	cnn	PROPN
cana-3469	181	3	-	-	PUNCT
cana-3469	181	4	stlstm	stlstm	NOUN
cana-3469	181	5	to	to	PART
cana-3469	181	6	am	am	VERB
cana-3469	181	7	takes	take	VERB
cana-3469	181	8	19.0767	19.0767	NUM
cana-3469	181	9	seconds	second	NOUN
cana-3469	181	10	to	to	PART
cana-3469	181	11	train	train	VERB
cana-3469	181	12	,	,	PUNCT
cana-3469	181	13	whereas	whereas	SCONJ
cana-3469	181	14	the	the	DET
cana-3469	181	15	cnn	cnn	NOUN
cana-3469	181	16	takes	take	VERB
cana-3469	181	17	5.9840	5.9840	NUM
cana-3469	181	18	seconds	second	NOUN
cana-3469	181	19	.	.	PUNCT
cana-3469	182	1	while	while	SCONJ
cana-3469	182	2	cnn	cnn	PROPN
cana-3469	182	3	stlstm	stlstm	PROPN
cana-3469	182	4	-	-	PUNCT
cana-3469	182	5	am	am	NOUN
cana-3469	182	6	does	do	AUX
cana-3469	182	7	require	require	VERB
cana-3469	182	8	more	more	ADJ
cana-3469	182	9	time	time	NOUN
cana-3469	182	10	,	,	PUNCT
cana-3469	182	11	training	train	VERB
cana-3469	182	12	the	the	DET
cana-3469	182	13	method	method	NOUN
cana-3469	182	14	only	only	ADV
cana-3469	182	15	takes	take	VERB
cana-3469	182	16	a	a	DET
cana-3469	182	17	single	single	ADJ
cana-3469	182	18	time	time	NOUN
cana-3469	182	19	and	and	CCONJ
cana-3469	182	20	the	the	DET
cana-3469	182	21	time	time	NOUN
cana-3469	182	22	modification	modification	NOUN
cana-3469	182	23	is	be	AUX
cana-3469	182	24	less	less	ADJ
cana-3469	182	25	than	than	ADP
cana-3469	182	26	14	14	NUM
cana-3469	182	27	seconds	second	NOUN
cana-3469	182	28	,	,	PUNCT
cana-3469	182	29	therefore	therefore	ADV
cana-3469	182	30	it	it	PRON
cana-3469	182	31	is	be	AUX
cana-3469	182	32	okay	okay	ADJ
cana-3469	182	33	to	to	PART
cana-3469	182	34	spend	spend	VERB
cana-3469	182	35	more	more	ADJ
cana-3469	182	36	time	time	NOUN
cana-3469	182	37	training	training	NOUN
cana-3469	182	38	as	as	ADV
cana-3469	182	39	long	long	ADV
cana-3469	182	40	as	as	SCONJ
cana-3469	182	41	the	the	DET
cana-3469	182	42	prediction	prediction	NOUN
cana-3469	182	43	accuracy	accuracy	NOUN
cana-3469	182	44	is	be	AUX
cana-3469	182	45	good	good	ADJ
cana-3469	182	46	.	.	PUNCT
cana-3469	183	1	results	result	NOUN
cana-3469	183	2	demonstrate	demonstrate	VERB
cana-3469	183	3	that	that	SCONJ
cana-3469	183	4	cnn	cnn	PROPN
cana-3469	183	5	-	-	PUNCT
cana-3469	183	6	stlstm	stlstm	NOUN
cana-3469	183	7	-	-	PUNCT
cana-3469	183	8	am	am	NOUN
cana-3469	183	9	had	have	VERB
cana-3469	183	10	the	the	DET
cana-3469	183	11	lowest	low	ADJ
cana-3469	183	12	predicting	predicting	NOUN
cana-3469	183	13	error	error	NOUN
cana-3469	183	14	out	out	ADP
cana-3469	183	15	of	of	ADP
cana-3469	183	16	the	the	DET
cana-3469	183	17	seven	seven	NUM
cana-3469	183	18	models	model	NOUN
cana-3469	183	19	tested	test	VERB
cana-3469	183	20	.	.	PUNCT
cana-3469	184	1	relative	relative	ADJ
cana-3469	184	2	mean	mean	PROPN
cana-3469	184	3	square	square	ADJ
cana-3469	184	4	error	error	NOUN
cana-3469	184	5	is	be	AUX
cana-3469	184	6	0.0216	0.0216	NUM
cana-3469	184	7	.	.	PUNCT
cana-3469	185	1	there	there	PRON
cana-3469	185	2	is	be	VERB
cana-3469	185	3	an	an	DET
cana-3469	185	4	mae	mae	PROPN
cana-3469	185	5	of	of	ADP
cana-3469	185	6	0.0160	0.0160	NUM
cana-3469	185	7	.	.	PUNCT
cana-3469	186	1	the	the	DET
cana-3469	186	2	duration	duration	NOUN
cana-3469	186	3	of	of	ADP
cana-3469	186	4	training	training	NOUN
cana-3469	186	5	is	be	AUX
cana-3469	186	6	19.0767	19.0767	NUM
cana-3469	186	7	seconds	second	NOUN
cana-3469	186	8	.	.	PUNCT
cana-3469	187	1	the	the	DET
cana-3469	187	2	cnn	cnn	PROPN
cana-3469	187	3	stlstm	stlstm	NOUN
cana-3469	187	4	to	to	PART
cana-3469	187	5	am	am	VERB
cana-3469	187	6	has	have	VERB
cana-3469	187	7	the	the	DET
cana-3469	187	8	best	well	ADV
cana-3469	187	9	-	-	PUNCT
cana-3469	187	10	suited	suit	VERB
cana-3469	187	11	degree	degree	NOUN
cana-3469	187	12	.	.	PUNCT
cana-3469	188	1	an	an	DET
cana-3469	188	2	𝑅2	𝑅2	NOUN
cana-3469	188	3	a	a	DET
cana-3469	188	4	value	value	NOUN
cana-3469	188	5	of	of	ADP
cana-3469	188	6	0.9932	0.9932	NUM
cana-3469	188	7	is	be	AUX
cana-3469	188	8	given	give	VERB
cana-3469	188	9	.	.	PUNCT
cana-3469	189	1	in	in	ADP
cana-3469	189	2	terms	term	NOUN
cana-3469	189	3	of	of	ADP
cana-3469	189	4	forecasting	forecasting	NOUN
cana-3469	189	5	error	error	NOUN
cana-3469	189	6	and	and	CCONJ
cana-3469	189	7	fitting	fitting	ADJ
cana-3469	189	8	degree	degree	NOUN
cana-3469	189	9	,	,	PUNCT
cana-3469	189	10	the	the	DET
cana-3469	189	11	cnn	cnn	PROPN
cana-3469	189	12	-	-	PUNCT
cana-3469	189	13	stlstm	stlstm	NOUN
cana-3469	189	14	to	to	PART
cana-3469	189	15	am	am	VERB
cana-3469	189	16	outperforms	outperform	NOUN
cana-3469	189	17	the	the	DET
cana-3469	189	18	other	other	ADJ
cana-3469	189	19	communications	communication	NOUN
cana-3469	189	20	on	on	ADP
cana-3469	189	21	applied	apply	VERB
cana-3469	189	22	nonlinear	nonlinear	ADJ
cana-3469	189	23	analysis	analysis	NOUN
cana-3469	189	24	issn	issn	NOUN
cana-3469	189	25	:	:	PUNCT
cana-3469	189	26	1074	1074	NUM
cana-3469	189	27	-	-	PUNCT
cana-3469	189	28	133x	133x	NUM
cana-3469	189	29	vol	vol	NOUN
cana-3469	189	30	32	32	NUM
cana-3469	189	31	no	no	NOUN
cana-3469	189	32	.	.	PUNCT
cana-3469	190	1	7s	7	NOUN
cana-3469	190	2	(	(	PUNCT
cana-3469	190	3	2025	2025	NUM
cana-3469	190	4	)	)	PUNCT
cana-3469	190	5	627	627	NUM
cana-3469	190	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3469	190	7	six	six	NUM
cana-3469	190	8	models	model	NOUN
cana-3469	190	9	.	.	PUNCT
cana-3469	191	1	when	when	SCONJ
cana-3469	191	2	it	it	PRON
cana-3469	191	3	comes	come	VERB
cana-3469	191	4	to	to	ADP
cana-3469	191	5	predicting	predict	VERB
cana-3469	191	6	the	the	DET
cana-3469	191	7	usd	usd	NOUN
cana-3469	191	8	exchange	exchange	NOUN
cana-3469	191	9	rate	rate	NOUN
cana-3469	191	10	's	's	PART
cana-3469	191	11	closing	closing	NOUN
cana-3469	191	12	price	price	NOUN
cana-3469	191	13	for	for	ADP
cana-3469	191	14	the	the	DET
cana-3469	191	15	next	next	ADJ
cana-3469	191	16	trading	trading	NOUN
cana-3469	191	17	day	day	NOUN
cana-3469	191	18	,	,	PUNCT
cana-3469	191	19	cnn	cnn	PROPN
cana-3469	191	20	-	-	PUNCT
cana-3469	191	21	stlstm	stlstm	NOUN
cana-3469	191	22	-	-	PUNCT
cana-3469	191	23	am	am	NOUN
cana-3469	191	24	is	be	AUX
cana-3469	191	25	superior	superior	ADJ
cana-3469	191	26	.	.	PUNCT
cana-3469	192	1	6	6	X
cana-3469	192	2	.	.	X
cana-3469	192	3	conclusion	conclusion	NOUN
cana-3469	192	4	this	this	DET
cana-3469	192	5	article	article	NOUN
cana-3469	192	6	proposes	propose	VERB
cana-3469	192	7	a	a	DET
cana-3469	192	8	cnn	cnn	NOUN
cana-3469	192	9	-	-	NOUN
cana-3469	192	10	stlstm	stlstm	NOUN
cana-3469	192	11	to	to	PART
cana-3469	192	12	am	am	VERB
cana-3469	192	13	method	method	NOUN
cana-3469	192	14	for	for	ADP
cana-3469	192	15	usd	usd	NOUN
cana-3469	192	16	closing	closing	NOUN
cana-3469	192	17	price	price	NOUN
cana-3469	192	18	forecasting	forecasting	NOUN
cana-3469	192	19	.	.	PUNCT
cana-3469	193	1	using	use	VERB
cana-3469	193	2	input	input	NOUN
cana-3469	193	3	data	datum	NOUN
cana-3469	193	4	,	,	PUNCT
cana-3469	193	5	cnn	cnn	PROPN
cana-3469	193	6	may	may	AUX
cana-3469	193	7	derive	derive	VERB
cana-3469	193	8	eigenvalues	eigenvalue	NOUN
cana-3469	193	9	.	.	PUNCT
cana-3469	194	1	the	the	DET
cana-3469	194	2	recovered	recover	VERB
cana-3469	194	3	eigenvalues	eigenvalue	NOUN
cana-3469	194	4	are	be	AUX
cana-3469	194	5	learned	learn	VERB
cana-3469	194	6	using	use	VERB
cana-3469	194	7	stlstm	stlstm	NOUN
cana-3469	194	8	,	,	PUNCT
cana-3469	194	9	which	which	PRON
cana-3469	194	10	improves	improve	VERB
cana-3469	194	11	the	the	DET
cana-3469	194	12	structure	structure	NOUN
cana-3469	194	13	of	of	ADP
cana-3469	194	14	lstm	lstm	NOUN
cana-3469	194	15	and	and	CCONJ
cana-3469	194	16	allows	allow	VERB
cana-3469	194	17	for	for	ADP
cana-3469	194	18	improved	improved	ADJ
cana-3469	194	19	discovery	discovery	NOUN
cana-3469	194	20	of	of	ADP
cana-3469	194	21	the	the	DET
cana-3469	194	22	relationship	relationship	NOUN
cana-3469	194	23	among	among	ADP
cana-3469	194	24	timeseries	timeserie	NOUN
cana-3469	194	25	data	datum	NOUN
cana-3469	194	26	.	.	PUNCT
cana-3469	195	1	various	various	ADJ
cana-3469	195	2	eigenvalues	eigenvalue	NOUN
cana-3469	195	3	are	be	AUX
cana-3469	195	4	given	give	VERB
cana-3469	195	5	appropriate	appropriate	ADJ
cana-3469	195	6	weights	weight	NOUN
cana-3469	195	7	by	by	ADP
cana-3469	195	8	the	the	DET
cana-3469	195	9	am	am	NOUN
cana-3469	195	10	.	.	PUNCT
cana-3469	196	1	compared	compare	VERB
cana-3469	196	2	to	to	ADP
cana-3469	196	3	the	the	DET
cana-3469	196	4	other	other	ADJ
cana-3469	196	5	six	six	NUM
cana-3469	196	6	models	model	NOUN
cana-3469	196	7	,	,	PUNCT
cana-3469	196	8	cnnstlstm	cnnstlstm	NOUN
cana-3469	196	9	-	-	PUNCT
cana-3469	196	10	am	am	NOUN
cana-3469	196	11	outperforms	outperform	VERB
cana-3469	196	12	them	they	PRON
cana-3469	196	13	experimentally	experimentally	ADV
cana-3469	196	14	in	in	ADP
cana-3469	196	15	terms	term	NOUN
cana-3469	196	16	of	of	ADP
cana-3469	196	17	predicting	predict	VERB
cana-3469	196	18	accuracy	accuracy	NOUN
cana-3469	196	19	and	and	CCONJ
cana-3469	196	20	fitting	fitting	ADJ
cana-3469	196	21	degree	degree	NOUN
cana-3469	196	22	.	.	PUNCT
cana-3469	197	1	when	when	SCONJ
cana-3469	197	2	compared	compare	VERB
cana-3469	197	3	to	to	ADP
cana-3469	197	4	other	other	ADJ
cana-3469	197	5	models	model	NOUN
cana-3469	197	6	,	,	PUNCT
cana-3469	197	7	this	this	DET
cana-3469	197	8	one	one	NOUN
cana-3469	197	9	has	have	VERB
cana-3469	197	10	the	the	DET
cana-3469	197	11	shortest	short	ADJ
cana-3469	197	12	rmse	rmse	NOUN
cana-3469	197	13	and	and	CCONJ
cana-3469	197	14	mae	mae	PROPN
cana-3469	197	15	,	,	PUNCT
cana-3469	197	16	the	the	DET
cana-3469	197	17	closest	close	ADJ
cana-3469	197	18	𝑅2	𝑅2	NOUN
cana-3469	197	19	,	,	PUNCT
cana-3469	197	20	and	and	CCONJ
cana-3469	197	21	the	the	DET
cana-3469	197	22	slowest	slow	ADJ
cana-3469	197	23	training	training	NOUN
cana-3469	197	24	time	time	NOUN
cana-3469	197	25	.	.	PUNCT
cana-3469	198	1	to	to	PART
cana-3469	198	2	predict	predict	VERB
cana-3469	198	3	the	the	DET
cana-3469	198	4	final	final	ADJ
cana-3469	198	5	value	value	NOUN
cana-3469	198	6	of	of	ADP
cana-3469	198	7	the	the	DET
cana-3469	198	8	usd	usd	NOUN
cana-3469	198	9	exchange	exchange	NOUN
cana-3469	198	10	rate	rate	NOUN
cana-3469	198	11	,	,	PUNCT
cana-3469	198	12	cnn	cnn	PROPN
cana-3469	198	13	-	-	PUNCT
cana-3469	198	14	stlstmam	stlstmam	NOUN
cana-3469	198	15	is	be	AUX
cana-3469	198	16	a	a	DET
cana-3469	198	17	suitable	suitable	ADJ
cana-3469	198	18	model	model	NOUN
cana-3469	198	19	to	to	PART
cana-3469	198	20	use	use	VERB
cana-3469	198	21	.	.	PUNCT
cana-3469	199	1	in	in	ADP
cana-3469	199	2	order	order	NOUN
cana-3469	199	3	to	to	PART
cana-3469	199	4	provide	provide	VERB
cana-3469	199	5	the	the	DET
cana-3469	199	6	prediction	prediction	NOUN
cana-3469	199	7	model	model	NOUN
cana-3469	199	8	with	with	ADP
cana-3469	199	9	accurate	accurate	ADJ
cana-3469	199	10	information	information	NOUN
cana-3469	199	11	,	,	PUNCT
cana-3469	199	12	the	the	DET
cana-3469	199	13	subsequent	subsequent	ADJ
cana-3469	199	14	study	study	NOUN
cana-3469	199	15	will	will	AUX
cana-3469	199	16	include	include	VERB
cana-3469	199	17	quantifying	quantify	VERB
cana-3469	199	18	sci	sci	PROPN
cana-3469	199	19	comment	comment	NOUN
cana-3469	199	20	data	datum	NOUN
cana-3469	199	21	using	use	VERB
cana-3469	199	22	natural	natural	ADJ
cana-3469	199	23	language	language	NOUN
cana-3469	199	24	processing	processing	NOUN
cana-3469	199	25	technologies	technology	NOUN
cana-3469	199	26	.	.	PUNCT
cana-3469	200	1	reference	reference	NOUN
cana-3469	200	2	[	[	X
cana-3469	200	3	1	1	NUM
cana-3469	200	4	]	]	PUNCT
cana-3469	200	5	ayitey	ayitey	PROPN
cana-3469	200	6	junior	junior	PROPN
cana-3469	200	7	,	,	PUNCT
cana-3469	200	8	michael	michael	PROPN
cana-3469	200	9	,	,	PUNCT
cana-3469	200	10	peter	peter	PROPN
cana-3469	200	11	appiahene	appiahene	PROPN
cana-3469	200	12	,	,	PUNCT
cana-3469	200	13	and	and	CCONJ
cana-3469	200	14	obed	obe	VERB
cana-3469	200	15	appiah	appiah	PROPN
cana-3469	200	16	.	.	PUNCT
cana-3469	201	1	"	"	PUNCT
cana-3469	201	2	forex	forex	ADJ
cana-3469	201	3	market	market	NOUN
cana-3469	201	4	forecasting	forecasting	NOUN
cana-3469	201	5	with	with	ADP
cana-3469	201	6	two	two	NUM
cana-3469	201	7	-	-	PUNCT
cana-3469	201	8	layer	layer	NOUN
cana-3469	201	9	stacked	stack	VERB
cana-3469	201	10	long	long	ADJ
cana-3469	201	11	short	short	ADJ
cana-3469	201	12	-	-	PUNCT
cana-3469	201	13	term	term	NOUN
cana-3469	201	14	memory	memory	NOUN
cana-3469	201	15	neural	neural	ADJ
cana-3469	201	16	network	network	NOUN
cana-3469	201	17	(	(	PUNCT
cana-3469	201	18	lstm	lstm	NOUN
cana-3469	201	19	)	)	PUNCT
cana-3469	201	20	and	and	CCONJ
cana-3469	201	21	correlation	correlation	NOUN
cana-3469	201	22	analysis	analysis	NOUN
cana-3469	201	23	.	.	PUNCT
cana-3469	201	24	"	"	PUNCT
cana-3469	202	1	journal	journal	NOUN
cana-3469	202	2	of	of	ADP
cana-3469	202	3	electrical	electrical	ADJ
cana-3469	202	4	systems	system	NOUN
cana-3469	202	5	and	and	CCONJ
cana-3469	202	6	information	information	NOUN
cana-3469	202	7	technology	technology	NOUN
cana-3469	202	8	9.1	9.1	NUM
cana-3469	202	9	(	(	PUNCT
cana-3469	202	10	2022	2022	NUM
cana-3469	202	11	):	):	PUNCT
cana-3469	202	12	14	14	NUM
cana-3469	202	13	.	.	PUNCT
cana-3469	203	1	[	[	X
cana-3469	203	2	2	2	NUM
cana-3469	203	3	]	]	SYM
cana-3469	203	4	li	li	PROPN
cana-3469	203	5	,	,	PUNCT
cana-3469	203	6	xin	xin	PROPN
cana-3469	203	7	,	,	PUNCT
cana-3469	203	8	qingquan	qingquan	PROPN
cana-3469	203	9	liu	liu	PROPN
cana-3469	203	10	,	,	PUNCT
cana-3469	203	11	and	and	CCONJ
cana-3469	203	12	yingli	yingli	NOUN
cana-3469	203	13	wu	wu	PROPN
cana-3469	203	14	.	.	PUNCT
cana-3469	204	1	"	"	PUNCT
cana-3469	204	2	prediction	prediction	NOUN
cana-3469	204	3	on	on	ADP
cana-3469	204	4	blockchain	blockchain	PROPN
cana-3469	204	5	virtual	virtual	ADJ
cana-3469	204	6	currency	currency	NOUN
cana-3469	204	7	transaction	transaction	NOUN
cana-3469	204	8	under	under	ADP
cana-3469	204	9	long	long	ADJ
cana-3469	204	10	short	short	ADJ
cana-3469	204	11	-	-	PUNCT
cana-3469	204	12	term	term	NOUN
cana-3469	204	13	memory	memory	NOUN
cana-3469	204	14	model	model	NOUN
cana-3469	204	15	and	and	CCONJ
cana-3469	204	16	deep	deep	ADJ
cana-3469	204	17	belief	belief	NOUN
cana-3469	204	18	network	network	NOUN
cana-3469	204	19	.	.	PUNCT
cana-3469	204	20	"	"	PUNCT
cana-3469	204	21	applied	apply	VERB
cana-3469	204	22	soft	soft	ADJ
cana-3469	204	23	computing	compute	VERB
cana-3469	204	24	116	116	NUM
cana-3469	204	25	(	(	PUNCT
cana-3469	204	26	2022	2022	NUM
cana-3469	204	27	):	):	PUNCT
cana-3469	204	28	108349	108349	NUM
cana-3469	204	29	.	.	PUNCT
cana-3469	205	1	[	[	X
cana-3469	205	2	3	3	NUM
cana-3469	205	3	]	]	X
cana-3469	205	4	parvini	parvini	PROPN
cana-3469	205	5	,	,	PUNCT
cana-3469	205	6	navid	navid	PROPN
cana-3469	205	7	,	,	PUNCT
cana-3469	205	8	et	et	PROPN
cana-3469	205	9	al	al	PROPN
cana-3469	205	10	.	.	PUNCT
cana-3469	206	1	"	"	PUNCT
cana-3469	206	2	forecasting	forecast	VERB
cana-3469	206	3	bitcoin	bitcoin	NOUN
cana-3469	206	4	returns	return	NOUN
cana-3469	206	5	with	with	ADP
cana-3469	206	6	long	long	ADJ
cana-3469	206	7	short	short	ADJ
cana-3469	206	8	-	-	PUNCT
cana-3469	206	9	term	term	NOUN
cana-3469	206	10	memory	memory	NOUN
cana-3469	206	11	networks	network	NOUN
cana-3469	206	12	and	and	CCONJ
cana-3469	206	13	wavelet	wavelet	NOUN
cana-3469	206	14	decomposition	decomposition	NOUN
cana-3469	206	15	:	:	PUNCT
cana-3469	206	16	a	a	DET
cana-3469	206	17	comparison	comparison	NOUN
cana-3469	206	18	of	of	ADP
cana-3469	206	19	several	several	ADJ
cana-3469	206	20	market	market	NOUN
cana-3469	206	21	determinants	determinant	NOUN
cana-3469	206	22	.	.	PUNCT
cana-3469	206	23	"	"	PUNCT
cana-3469	207	1	applied	apply	VERB
cana-3469	207	2	soft	soft	ADJ
cana-3469	207	3	computing	compute	VERB
cana-3469	207	4	121	121	NUM
cana-3469	207	5	(	(	PUNCT
cana-3469	207	6	2022	2022	NUM
cana-3469	207	7	):	):	PUNCT
cana-3469	207	8	108707	108707	NUM
cana-3469	207	9	.	.	PUNCT
cana-3469	208	1	[	[	X
cana-3469	208	2	4	4	NUM
cana-3469	208	3	]	]	SYM
cana-3469	208	4	dong	dong	NOUN
cana-3469	208	5	,	,	PUNCT
cana-3469	208	6	peilin	peilin	NOUN
cana-3469	208	7	,	,	PUNCT
cana-3469	208	8	xiaoyu	xiaoyu	PROPN
cana-3469	208	9	wang	wang	PROPN
cana-3469	208	10	,	,	PUNCT
cana-3469	208	11	and	and	CCONJ
cana-3469	208	12	zhouhao	zhouhao	PROPN
cana-3469	208	13	shi	shi	PROPN
cana-3469	208	14	.	.	PUNCT
cana-3469	209	1	"	"	PUNCT
cana-3469	209	2	financial	financial	ADJ
cana-3469	209	3	market	market	NOUN
cana-3469	209	4	trend	trend	NOUN
cana-3469	209	5	prediction	prediction	NOUN
cana-3469	209	6	model	model	NOUN
cana-3469	209	7	based	base	VERB
cana-3469	209	8	on	on	ADP
cana-3469	209	9	lstm	lstm	PROPN
cana-3469	209	10	neural	neural	ADJ
cana-3469	209	11	network	network	NOUN
cana-3469	209	12	algorithm	algorithm	NOUN
cana-3469	209	13	.	.	PUNCT
cana-3469	209	14	"	"	PUNCT
cana-3469	210	1	journal	journal	NOUN
cana-3469	210	2	of	of	ADP
cana-3469	210	3	computational	computational	ADJ
cana-3469	210	4	methods	method	NOUN
cana-3469	210	5	in	in	ADP
cana-3469	210	6	sciences	science	NOUN
cana-3469	210	7	and	and	CCONJ
cana-3469	210	8	engineering	engineer	VERB
cana-3469	210	9	24.2	24.2	NUM
cana-3469	210	10	(	(	PUNCT
cana-3469	210	11	2024	2024	NUM
cana-3469	210	12	):	):	PUNCT
cana-3469	210	13	745	745	NUM
cana-3469	210	14	-	-	SYM
cana-3469	210	15	755	755	NUM
cana-3469	210	16	.	.	PUNCT
cana-3469	211	1	[	[	X
cana-3469	211	2	5	5	NUM
cana-3469	211	3	]	]	SYM
cana-3469	211	4	shang	shang	PROPN
cana-3469	211	5	,	,	PUNCT
cana-3469	211	6	dawei	dawei	PROPN
cana-3469	211	7	,	,	PUNCT
cana-3469	211	8	et	et	PROPN
cana-3469	211	9	al	al	PROPN
cana-3469	211	10	.	.	PUNCT
cana-3469	212	1	"	"	PUNCT
cana-3469	212	2	digital	digital	ADJ
cana-3469	212	3	financial	financial	ADJ
cana-3469	212	4	asset	asset	NOUN
cana-3469	212	5	price	price	NOUN
cana-3469	212	6	fluctuation	fluctuation	NOUN
cana-3469	212	7	forecasting	forecasting	NOUN
cana-3469	212	8	in	in	ADP
cana-3469	212	9	a	a	DET
cana-3469	212	10	digital	digital	ADJ
cana-3469	212	11	economy	economy	NOUN
cana-3469	212	12	era	era	NOUN
cana-3469	212	13	using	use	VERB
cana-3469	212	14	blockchain	blockchain	PROPN
cana-3469	212	15	information	information	NOUN
cana-3469	212	16	:	:	PUNCT
cana-3469	212	17	a	a	DET
cana-3469	212	18	reconstructed	reconstructed	ADJ
cana-3469	212	19	dynamic	dynamic	ADJ
cana-3469	212	20	-	-	PUNCT
cana-3469	212	21	bound	bind	VERB
cana-3469	212	22	levenberg	levenberg	PROPN
cana-3469	212	23	–	–	PUNCT
cana-3469	212	24	marquardt	marquardt	PROPN
cana-3469	212	25	neural	neural	ADJ
cana-3469	212	26	-	-	PUNCT
cana-3469	212	27	network	network	NOUN
cana-3469	212	28	approach	approach	NOUN
cana-3469	212	29	.	.	PUNCT
cana-3469	212	30	"	"	PUNCT
cana-3469	213	1	expert	expert	ADJ
cana-3469	213	2	systems	system	NOUN
cana-3469	213	3	with	with	ADP
cana-3469	213	4	applications	application	NOUN
cana-3469	213	5	228	228	NUM
cana-3469	213	6	(	(	PUNCT
cana-3469	213	7	2023	2023	NUM
cana-3469	213	8	):	):	PUNCT
cana-3469	213	9	120329	120329	NUM
cana-3469	213	10	.	.	PUNCT
cana-3469	214	1	[	[	X
cana-3469	214	2	6	6	NUM
cana-3469	214	3	]	]	SYM
cana-3469	214	4	bormpotsis	bormpotsis	NOUN
cana-3469	214	5	,	,	PUNCT
cana-3469	214	6	christos	christo	NOUN
cana-3469	214	7	,	,	PUNCT
cana-3469	214	8	mohamed	mohamed	ADJ
cana-3469	214	9	sedky	sedky	NOUN
cana-3469	214	10	,	,	PUNCT
cana-3469	214	11	and	and	CCONJ
cana-3469	214	12	asma	asma	PROPN
cana-3469	214	13	patel	patel	PROPN
cana-3469	214	14	.	.	PUNCT
cana-3469	215	1	"	"	PUNCT
cana-3469	215	2	predicting	predict	VERB
cana-3469	215	3	forex	forex	ADJ
cana-3469	215	4	currency	currency	NOUN
cana-3469	215	5	fluctuations	fluctuation	NOUN
cana-3469	215	6	using	use	VERB
cana-3469	215	7	a	a	DET
cana-3469	215	8	novel	novel	ADJ
cana-3469	215	9	bioinspired	bioinspire	VERB
cana-3469	215	10	modular	modular	ADJ
cana-3469	215	11	neural	neural	ADJ
cana-3469	215	12	network	network	NOUN
cana-3469	215	13	.	.	PUNCT
cana-3469	215	14	"	"	PUNCT
cana-3469	216	1	big	big	ADJ
cana-3469	216	2	data	datum	NOUN
cana-3469	216	3	and	and	CCONJ
cana-3469	216	4	cognitive	cognitive	ADJ
cana-3469	216	5	computing	computing	NOUN
cana-3469	216	6	7.3	7.3	NUM
cana-3469	216	7	(	(	PUNCT
cana-3469	216	8	2023	2023	NUM
cana-3469	216	9	):	):	PUNCT
cana-3469	216	10	152	152	NUM
cana-3469	216	11	.	.	PUNCT
cana-3469	217	1	[	[	X
cana-3469	217	2	7	7	X
cana-3469	217	3	]	]	X
cana-3469	217	4	kumar	kumar	PROPN
cana-3469	217	5	,	,	PUNCT
cana-3469	217	6	t.	t.	NOUN
cana-3469	217	7	rajasanthosh	rajasanthosh	NOUN
cana-3469	217	8	,	,	PUNCT
cana-3469	217	9	g.	g.	PROPN
cana-3469	217	10	laxmaiah	laxmaiah	PROPN
cana-3469	217	11	,	,	PUNCT
cana-3469	217	12	and	and	CCONJ
cana-3469	217	13	s.	s.	PROPN
cana-3469	217	14	solomon	solomon	PROPN
cana-3469	217	15	raj	raj	PROPN
cana-3469	217	16	.	.	PUNCT
cana-3469	218	1	"	"	PUNCT
cana-3469	218	2	a	a	DET
cana-3469	218	3	framework	framework	NOUN
cana-3469	218	4	of	of	ADP
cana-3469	218	5	intelligent	intelligent	ADJ
cana-3469	218	6	manufacturing	manufacturing	NOUN
cana-3469	218	7	process	process	NOUN
cana-3469	218	8	by	by	ADP
cana-3469	218	9	integrating	integrate	VERB
cana-3469	218	10	various	various	ADJ
cana-3469	218	11	functions	function	NOUN
cana-3469	218	12	.	.	PUNCT
cana-3469	218	13	"	"	PUNCT
cana-3469	219	1	ai	ai	VERB
cana-3469	219	2	-	-	PUNCT
cana-3469	219	3	driven	drive	VERB
cana-3469	219	4	iot	iot	NOUN
cana-3469	219	5	systems	system	NOUN
cana-3469	219	6	for	for	ADP
cana-3469	219	7	industry	industry	NOUN
cana-3469	219	8	4.0	4.0	NUM
cana-3469	219	9	.	.	PUNCT
cana-3469	220	1	crc	crc	PROPN
cana-3469	220	2	press	press	PROPN
cana-3469	220	3	241	241	NUM
cana-3469	220	4	-	-	SYM
cana-3469	220	5	254	254	NUM
cana-3469	220	6	.	.	PUNCT
cana-3469	221	1	[	[	X
cana-3469	221	2	8	8	NUM
cana-3469	221	3	]	]	X
cana-3469	221	4	fayyad	fayyad	NOUN
cana-3469	221	5	,	,	PUNCT
cana-3469	221	6	muhammad	muhammad	PROPN
cana-3469	221	7	fauzi	fauzi	PROPN
cana-3469	221	8	,	,	PUNCT
cana-3469	221	9	et	et	PROPN
cana-3469	221	10	al	al	PROPN
cana-3469	221	11	.	.	PUNCT
cana-3469	222	1	"	"	PUNCT
cana-3469	222	2	application	application	NOUN
cana-3469	222	3	of	of	ADP
cana-3469	222	4	recurrent	recurrent	ADJ
cana-3469	222	5	neural	neural	ADJ
cana-3469	222	6	network	network	NOUN
cana-3469	222	7	bi	bi	ADJ
cana-3469	222	8	-	-	ADJ
cana-3469	222	9	long	long	ADJ
cana-3469	222	10	short	short	ADJ
cana-3469	222	11	-	-	PUNCT
cana-3469	222	12	term	term	NOUN
cana-3469	222	13	memory	memory	NOUN
cana-3469	222	14	,	,	PUNCT
cana-3469	222	15	gated	gate	VERB
cana-3469	222	16	recurrent	recurrent	ADJ
cana-3469	222	17	unit	unit	NOUN
cana-3469	222	18	and	and	CCONJ
cana-3469	222	19	bi	bi	ADJ
cana-3469	222	20	-	-	ADJ
cana-3469	222	21	gated	gate	VERB
cana-3469	222	22	recurrent	recurrent	ADJ
cana-3469	222	23	unit	unit	NOUN
cana-3469	222	24	for	for	ADP
cana-3469	222	25	forecasting	forecast	VERB
cana-3469	222	26	rupiah	rupiah	NOUN
cana-3469	222	27	against	against	ADP
cana-3469	222	28	dollar	dollar	NOUN
cana-3469	222	29	(	(	PUNCT
cana-3469	222	30	usd	usd	NOUN
cana-3469	222	31	)	)	PUNCT
cana-3469	222	32	exchange	exchange	NOUN
cana-3469	222	33	rate	rate	NOUN
cana-3469	222	34	.	.	PUNCT
cana-3469	222	35	"	"	PUNCT
cana-3469	223	1	public	public	ADJ
cana-3469	223	2	research	research	NOUN
cana-3469	223	3	journal	journal	NOUN
cana-3469	223	4	of	of	ADP
cana-3469	223	5	engineering	engineering	NOUN
cana-3469	223	6	,	,	PUNCT
cana-3469	223	7	data	datum	NOUN
cana-3469	223	8	technology	technology	NOUN
cana-3469	223	9	and	and	CCONJ
cana-3469	223	10	computer	computer	NOUN
cana-3469	223	11	science	science	NOUN
cana-3469	223	12	2.1	2.1	NUM
cana-3469	223	13	(	(	PUNCT
cana-3469	223	14	2024	2024	NUM
cana-3469	223	15	):	):	PUNCT
cana-3469	223	16	1	1	NUM
cana-3469	223	17	-	-	SYM
cana-3469	223	18	10	10	NUM
cana-3469	223	19	.	.	PUNCT
cana-3469	224	1	[	[	X
cana-3469	224	2	9	9	NUM
cana-3469	224	3	]	]	PUNCT
cana-3469	224	4	patro	patro	NOUN
cana-3469	224	5	,	,	PUNCT
cana-3469	224	6	pramoda	pramoda	PROPN
cana-3469	224	7	,	,	PUNCT
cana-3469	224	8	et	et	PROPN
cana-3469	224	9	al	al	PROPN
cana-3469	224	10	.	.	PUNCT
cana-3469	225	1	"	"	PUNCT
cana-3469	225	2	a	a	DET
cana-3469	225	3	hybrid	hybrid	ADJ
cana-3469	225	4	approach	approach	NOUN
cana-3469	225	5	estimates	estimate	VERB
cana-3469	225	6	the	the	DET
cana-3469	225	7	real	real	ADJ
cana-3469	225	8	-	-	PUNCT
cana-3469	225	9	time	time	NOUN
cana-3469	225	10	health	health	NOUN
cana-3469	225	11	state	state	NOUN
cana-3469	225	12	of	of	ADP
cana-3469	225	13	a	a	DET
cana-3469	225	14	bearing	bearing	NOUN
cana-3469	225	15	by	by	ADP
cana-3469	225	16	accelerated	accelerate	VERB
cana-3469	225	17	degradation	degradation	NOUN
cana-3469	225	18	tests	test	NOUN
cana-3469	225	19	,	,	PUNCT
cana-3469	225	20	machine	machine	NOUN
cana-3469	225	21	learning	learning	NOUN
cana-3469	225	22	.	.	PUNCT
cana-3469	225	23	"	"	PUNCT
cana-3469	226	1	2021	2021	NUM
cana-3469	226	2	second	second	ADJ
cana-3469	226	3	international	international	ADJ
cana-3469	226	4	conference	conference	NOUN
cana-3469	226	5	on	on	ADP
cana-3469	226	6	smart	smart	ADJ
cana-3469	226	7	technologies	technology	NOUN
cana-3469	226	8	in	in	ADP
cana-3469	226	9	computing	computing	NOUN
cana-3469	226	10	,	,	PUNCT
cana-3469	226	11	electrical	electrical	ADJ
cana-3469	226	12	and	and	CCONJ
cana-3469	226	13	electronics	electronics	NOUN
cana-3469	226	14	(	(	PUNCT
cana-3469	226	15	icstcee	icstcee	NOUN
cana-3469	226	16	)	)	PUNCT
cana-3469	226	17	.	.	PUNCT
cana-3469	227	1	ieee	ieee	NOUN
cana-3469	227	2	,	,	PUNCT
cana-3469	227	3	2021	2021	NUM
cana-3469	227	4	.	.	PUNCT
cana-3469	228	1	[	[	X
cana-3469	228	2	10	10	NUM
cana-3469	228	3	]	]	PUNCT
cana-3469	228	4	lubis	lubis	PROPN
cana-3469	228	5	,	,	PUNCT
cana-3469	228	6	yarham	yarham	PROPN
cana-3469	228	7	syahabi	syahabi	NOUN
cana-3469	228	8	,	,	PUNCT
cana-3469	228	9	muhammad	muhammad	PROPN
cana-3469	228	10	rizqy	rizqy	PROPN
cana-3469	228	11	septyandy	septyandy	NOUN
cana-3469	228	12	,	,	PUNCT
cana-3469	228	13	and	and	CCONJ
cana-3469	228	14	mika	mika	PROPN
cana-3469	228	15	debora	debora	PROPN
cana-3469	228	16	br	br	PROPN
cana-3469	228	17	barus	barus	NOUN
cana-3469	228	18	.	.	PUNCT
cana-3469	229	1	"	"	PUNCT
cana-3469	229	2	optimizing	optimize	VERB
cana-3469	229	3	long	long	ADJ
cana-3469	229	4	short	short	ADJ
cana-3469	229	5	-	-	PUNCT
cana-3469	229	6	term	term	NOUN
cana-3469	229	7	memory	memory	NOUN
cana-3469	229	8	to	to	PART
cana-3469	229	9	predict	predict	VERB
cana-3469	229	10	currency	currency	NOUN
cana-3469	229	11	rates	rate	NOUN
cana-3469	229	12	.	.	PUNCT
cana-3469	229	13	"	"	PUNCT
cana-3469	230	1	international	international	ADJ
cana-3469	230	2	journal	journal	NOUN
cana-3469	230	3	of	of	ADP
cana-3469	230	4	artificial	artificial	ADJ
cana-3469	230	5	intelligence	intelligence	NOUN
cana-3469	230	6	&	&	CCONJ
cana-3469	230	7	robotics	robotic	NOUN
cana-3469	230	8	(	(	PUNCT
cana-3469	230	9	ijair	ijair	NOUN
cana-3469	230	10	)	)	PUNCT
cana-3469	230	11	5.2	5.2	NUM
cana-3469	230	12	(	(	PUNCT
cana-3469	230	13	2023	2023	NUM
cana-3469	230	14	):	):	PUNCT
cana-3469	230	15	71	71	NUM
cana-3469	230	16	-	-	SYM
cana-3469	230	17	80	80	NUM
cana-3469	230	18	.	.	PUNCT
cana-3469	231	1	[	[	X
cana-3469	231	2	11	11	NUM
cana-3469	231	3	]	]	X
cana-3469	231	4	zhou	zhou	PROPN
cana-3469	231	5	,	,	PUNCT
cana-3469	231	6	yun	yun	PROPN
cana-3469	231	7	,	,	PUNCT
cana-3469	231	8	and	and	CCONJ
cana-3469	231	9	xuxu	xuxu	PROPN
cana-3469	231	10	zhu	zhu	PROPN
cana-3469	231	11	.	.	PUNCT
cana-3469	232	1	"	"	PUNCT
cana-3469	232	2	forecasting	forecast	VERB
cana-3469	232	3	usd	usd	NOUN
cana-3469	232	4	exchange	exchange	NOUN
cana-3469	232	5	rate	rate	NOUN
cana-3469	232	6	using	use	VERB
cana-3469	232	7	the	the	DET
cana-3469	232	8	iceemdan‐cnn‐lstm	iceemdan‐cnn‐lstm	PROPN
cana-3469	232	9	model	model	NOUN
cana-3469	232	10	.	.	PUNCT
cana-3469	232	11	"	"	PUNCT
cana-3469	232	12	journal	journal	NOUN
cana-3469	232	13	of	of	ADP
cana-3469	232	14	forecasting	forecasting	NOUN
cana-3469	232	15	(	(	PUNCT
cana-3469	232	16	2025	2025	NUM
cana-3469	232	17	)	)	PUNCT
cana-3469	232	18	.	.	PUNCT
cana-3469	233	1	[	[	X
cana-3469	233	2	12	12	NUM
cana-3469	233	3	]	]	X
cana-3469	233	4	dalal	dalal	PROPN
cana-3469	233	5	,	,	PUNCT
cana-3469	233	6	al	al	PROPN
cana-3469	233	7	-	-	PUNCT
cana-3469	233	8	alimi	alimi	PROPN
cana-3469	233	9	,	,	PUNCT
cana-3469	233	10	et	et	PROPN
cana-3469	233	11	al	al	PROPN
cana-3469	233	12	.	.	PUNCT
cana-3469	233	13	"	"	PUNCT
cana-3469	233	14	tlia	tlia	PROPN
cana-3469	233	15	:	:	PUNCT
cana-3469	233	16	time	time	NOUN
cana-3469	233	17	-	-	PUNCT
cana-3469	233	18	series	series	NOUN
cana-3469	233	19	forecasting	forecasting	NOUN
cana-3469	233	20	model	model	NOUN
cana-3469	233	21	using	use	VERB
cana-3469	233	22	long	long	ADJ
cana-3469	233	23	short	short	ADJ
cana-3469	233	24	-	-	PUNCT
cana-3469	233	25	term	term	NOUN
cana-3469	233	26	memory	memory	NOUN
cana-3469	233	27	integrated	integrate	VERB
cana-3469	233	28	with	with	ADP
cana-3469	233	29	artificial	artificial	ADJ
cana-3469	233	30	neural	neural	ADJ
cana-3469	233	31	networks	network	NOUN
cana-3469	233	32	for	for	ADP
cana-3469	233	33	volatile	volatile	ADJ
cana-3469	233	34	energy	energy	NOUN
cana-3469	233	35	markets	market	NOUN
cana-3469	233	36	.	.	PUNCT
cana-3469	233	37	"	"	PUNCT
cana-3469	233	38	applied	apply	VERB
cana-3469	233	39	energy	energy	NOUN
cana-3469	233	40	343	343	NUM
cana-3469	233	41	(	(	PUNCT
cana-3469	233	42	2023	2023	NUM
cana-3469	233	43	):	):	PUNCT
cana-3469	233	44	121230	121230	NUM
cana-3469	233	45	.	.	PUNCT
cana-3469	234	1	[	[	X
cana-3469	234	2	13	13	NUM
cana-3469	234	3	]	]	X
cana-3469	234	4	zhalalov	zhalalov	PROPN
cana-3469	234	5	,	,	PUNCT
cana-3469	234	6	melis	melis	PROPN
cana-3469	234	7	,	,	PUNCT
cana-3469	234	8	and	and	CCONJ
cana-3469	234	9	vitaliy	vitaliy	ADJ
cana-3469	234	10	milke	milke	NOUN
cana-3469	234	11	.	.	PUNCT
cana-3469	235	1	"	"	PUNCT
cana-3469	235	2	analysis	analysis	NOUN
cana-3469	235	3	of	of	ADP
cana-3469	235	4	intraday	intraday	NOUN
cana-3469	235	5	financial	financial	ADJ
cana-3469	235	6	market	market	NOUN
cana-3469	235	7	using	use	VERB
cana-3469	235	8	ml	ml	NOUN
cana-3469	235	9	and	and	CCONJ
cana-3469	235	10	neural	neural	ADJ
cana-3469	235	11	networks	network	NOUN
cana-3469	235	12	for	for	ADP
cana-3469	235	13	gbp	gbp	NOUN
cana-3469	235	14	/	/	SYM
cana-3469	235	15	usd	usd	NOUN
cana-3469	235	16	currency	currency	NOUN
cana-3469	235	17	pair	pair	NOUN
cana-3469	235	18	price	price	NOUN
cana-3469	235	19	forecasting	forecasting	NOUN
cana-3469	235	20	.	.	PUNCT
cana-3469	235	21	"	"	PUNCT
cana-3469	236	1	icaart	icaart	NOUN
cana-3469	236	2	(	(	PUNCT
cana-3469	236	3	3	3	NUM
cana-3469	236	4	)	)	PUNCT
cana-3469	236	5	.	.	PUNCT
cana-3469	237	1	2024	2024	NUM
cana-3469	237	2	.	.	PUNCT
cana-3469	238	1	[	[	X
cana-3469	238	2	14	14	NUM
cana-3469	238	3	]	]	X
cana-3469	238	4	alade	alade	PROPN
cana-3469	238	5	,	,	PUNCT
cana-3469	238	6	temitope	temitope	NOUN
cana-3469	238	7	,	,	PUNCT
cana-3469	238	8	and	and	CCONJ
cana-3469	238	9	ogonna	ogonna	PROPN
cana-3469	238	10	okafor	okafor	PROPN
cana-3469	238	11	.	.	PUNCT
cana-3469	239	1	"	"	PUNCT
cana-3469	239	2	a	a	DET
cana-3469	239	3	novel	novel	ADJ
cana-3469	239	4	fig	fig	NOUN
cana-3469	239	5	-	-	PUNCT
cana-3469	239	6	lstm	lstm	NOUN
cana-3469	239	7	ensemble	ensemble	ADJ
cana-3469	239	8	machine	machine	NOUN
cana-3469	239	9	learning	learning	NOUN
cana-3469	239	10	technique	technique	NOUN
cana-3469	239	11	for	for	ADP
cana-3469	239	12	currency	currency	NOUN
cana-3469	239	13	exchange	exchange	NOUN
cana-3469	239	14	rate	rate	NOUN
cana-3469	239	15	forecasting	forecasting	NOUN
cana-3469	239	16	.	.	PUNCT
cana-3469	239	17	"	"	PUNCT
cana-3469	240	1	2024	2024	NUM
cana-3469	240	2	ieee	ieee	NOUN
cana-3469	240	3	canadian	canadian	ADJ
cana-3469	240	4	conference	conference	NOUN
cana-3469	240	5	on	on	ADP
cana-3469	240	6	electrical	electrical	ADJ
cana-3469	240	7	and	and	CCONJ
cana-3469	240	8	computer	computer	NOUN
cana-3469	240	9	engineering	engineering	NOUN
cana-3469	240	10	(	(	PUNCT
cana-3469	240	11	ccece	ccece	PROPN
cana-3469	240	12	)	)	PUNCT
cana-3469	240	13	.	.	PUNCT
cana-3469	241	1	ieee	ieee	NOUN
cana-3469	241	2	,	,	PUNCT
cana-3469	241	3	2024	2024	NUM
cana-3469	241	4	.	.	PUNCT
cana-3469	242	1	[	[	X
cana-3469	242	2	15	15	NUM
cana-3469	242	3	]	]	X
cana-3469	242	4	popli	popli	NOUN
cana-3469	242	5	,	,	PUNCT
cana-3469	242	6	renu	renu	PROPN
cana-3469	242	7	,	,	PUNCT
cana-3469	242	8	et	et	PROPN
cana-3469	242	9	al	al	PROPN
cana-3469	242	10	.	.	PUNCT
cana-3469	243	1	"	"	PUNCT
cana-3469	243	2	gold	gold	ADJ
cana-3469	243	3	price	price	NOUN
cana-3469	243	4	prediction	prediction	NOUN
cana-3469	243	5	in	in	ADP
cana-3469	243	6	stock	stock	NOUN
cana-3469	243	7	exchange	exchange	NOUN
cana-3469	243	8	using	use	VERB
cana-3469	243	9	lstm	lstm	NOUN
cana-3469	243	10	and	and	CCONJ
cana-3469	243	11	bi	bi	ADJ
cana-3469	243	12	-	-	ADJ
cana-3469	243	13	lstm	lstm	ADJ
cana-3469	243	14	multivariate	multivariate	NOUN
cana-3469	243	15	deep	deep	ADJ
cana-3469	243	16	learning	learning	NOUN
cana-3469	243	17	approaches	approach	NOUN
cana-3469	243	18	.	.	PUNCT
cana-3469	243	19	"	"	PUNCT
cana-3469	244	1	computational	computational	ADJ
cana-3469	244	2	intelligence	intelligence	NOUN
cana-3469	244	3	and	and	CCONJ
cana-3469	244	4	mathematical	mathematical	ADJ
cana-3469	244	5	applications	application	NOUN
cana-3469	244	6	.	.	PUNCT
cana-3469	245	1	crc	crc	PROPN
cana-3469	245	2	press	press	PROPN
cana-3469	245	3	,	,	PUNCT
cana-3469	245	4	2024	2024	NUM
cana-3469	245	5	.	.	PUNCT
cana-3469	246	1	1	1	NUM
cana-3469	246	2	-	-	SYM
cana-3469	246	3	5	5	NUM
cana-3469	246	4	.	.	PUNCT
cana-3469	247	1	[	[	X
cana-3469	247	2	16	16	NUM
cana-3469	247	3	]	]	X
cana-3469	247	4	harikumar	harikumar	PROPN
cana-3469	247	5	,	,	PUNCT
cana-3469	247	6	yedhu	yedhu	NOUN
cana-3469	247	7	,	,	PUNCT
cana-3469	247	8	and	and	CCONJ
cana-3469	247	9	m.	m.	PROPN
cana-3469	247	10	muthumeenakshi	muthumeenakshi	PROPN
cana-3469	247	11	.	.	PUNCT
cana-3469	248	1	"	"	PUNCT
cana-3469	248	2	prediction	prediction	NOUN
cana-3469	248	3	of	of	ADP
cana-3469	248	4	the	the	DET
cana-3469	248	5	stock	stock	NOUN
cana-3469	248	6	market	market	NOUN
cana-3469	248	7	using	use	VERB
cana-3469	248	8	grey	grey	PROPN
cana-3469	248	9	wolf	wolf	PROPN
cana-3469	248	10	optimization	optimization	NOUN
cana-3469	248	11	with	with	ADP
cana-3469	248	12	hybrid	hybrid	ADJ
cana-3469	248	13	convolutional	convolutional	ADJ
cana-3469	248	14	neural	neural	ADJ
cana-3469	248	15	network	network	NOUN
cana-3469	248	16	and	and	CCONJ
cana-3469	248	17	bi	bi	ADJ
cana-3469	248	18	-	-	ADJ
cana-3469	248	19	directional	directional	ADJ
cana-3469	248	20	long	long	ADJ
cana-3469	248	21	-	-	PUNCT
cana-3469	248	22	short	short	ADJ
cana-3469	248	23	term	term	NOUN
cana-3469	248	24	memory	memory	NOUN
cana-3469	248	25	model	model	NOUN
cana-3469	248	26	.	.	PUNCT
cana-3469	248	27	"	"	PUNCT
cana-3469	249	1	journal	journal	NOUN
cana-3469	249	2	of	of	ADP
cana-3469	249	3	intelligent	intelligent	ADJ
cana-3469	249	4	&	&	CCONJ
cana-3469	249	5	fuzzy	fuzzy	ADJ
cana-3469	249	6	systems	system	NOUN
cana-3469	249	7	preprint	preprint	NOUN
cana-3469	249	8	:	:	PUNCT
cana-3469	249	9	1	1	NUM
cana-3469	249	10	-	-	SYM
cana-3469	249	11	15	15	NUM
cana-3469	249	12	.	.	PUNCT
cana-3469	250	1	communications	communication	NOUN
cana-3469	250	2	on	on	ADP
cana-3469	250	3	applied	apply	VERB
cana-3469	250	4	nonlinear	nonlinear	ADJ
cana-3469	250	5	analysis	analysis	NOUN
cana-3469	250	6	issn	issn	NOUN
cana-3469	250	7	:	:	PUNCT
cana-3469	250	8	1074	1074	NUM
cana-3469	250	9	-	-	PUNCT
cana-3469	250	10	133x	133x	NUM
cana-3469	250	11	vol	vol	NOUN
cana-3469	250	12	32	32	NUM
cana-3469	250	13	no	no	NOUN
cana-3469	250	14	.	.	PUNCT
cana-3469	251	1	7s	7	NOUN
cana-3469	251	2	(	(	PUNCT
cana-3469	251	3	2025	2025	NUM
cana-3469	251	4	)	)	PUNCT
cana-3469	251	5	628	628	NUM
cana-3469	251	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3469	252	1	[	[	X
cana-3469	252	2	17	17	NUM
cana-3469	252	3	]	]	PUNCT
cana-3469	252	4	dash	dash	NOUN
cana-3469	252	5	,	,	PUNCT
cana-3469	252	6	swaty	swaty	NOUN
cana-3469	252	7	,	,	PUNCT
cana-3469	252	8	pradip	pradip	NOUN
cana-3469	252	9	kumar	kumar	PROPN
cana-3469	252	10	sahu	sahu	PROPN
cana-3469	252	11	,	,	PUNCT
cana-3469	252	12	and	and	CCONJ
cana-3469	252	13	debahuti	debahuti	PROPN
cana-3469	252	14	mishra	mishra	PROPN
cana-3469	252	15	.	.	PUNCT
cana-3469	253	1	"	"	PUNCT
cana-3469	253	2	forex	forex	ADJ
cana-3469	253	3	market	market	NOUN
cana-3469	253	4	directional	directional	ADJ
cana-3469	253	5	trends	trend	NOUN
cana-3469	253	6	forecasting	forecast	VERB
cana-3469	253	7	with	with	ADP
cana-3469	253	8	bidirectional	bidirectional	NOUN
cana-3469	253	9	-	-	PUNCT
cana-3469	253	10	lstm	lstm	NOUN
cana-3469	253	11	and	and	CCONJ
cana-3469	253	12	enhanced	enhance	VERB
cana-3469	253	13	deepsense	deepsense	ADJ
cana-3469	253	14	network	network	NOUN
cana-3469	253	15	using	use	VERB
cana-3469	253	16	all	all	DET
cana-3469	253	17	member	member	NOUN
cana-3469	253	18	-	-	PUNCT
cana-3469	253	19	based	base	VERB
cana-3469	253	20	optimizer	optimizer	NOUN
cana-3469	253	21	.	.	PUNCT
cana-3469	253	22	"	"	PUNCT
cana-3469	254	1	intelligent	intelligent	ADJ
cana-3469	254	2	decision	decision	NOUN
cana-3469	254	3	technologies	technology	NOUN
cana-3469	254	4	preprint	preprint	NOUN
cana-3469	254	5	(	(	PUNCT
cana-3469	254	6	2023	2023	NUM
cana-3469	254	7	):	):	PUNCT
cana-3469	254	8	1	1	NUM
cana-3469	254	9	-	-	SYM
cana-3469	254	10	32	32	NUM
cana-3469	254	11	.	.	PUNCT
cana-3469	255	1	[	[	X
cana-3469	255	2	18	18	NUM
cana-3469	255	3	]	]	X
cana-3469	255	4	umar	umar	PROPN
cana-3469	255	5	,	,	PUNCT
cana-3469	255	6	saminu	saminu	NOUN
cana-3469	255	7	,	,	PUNCT
cana-3469	255	8	aliyu	aliyu	NOUN
cana-3469	255	9	m.	m.	PROPN
cana-3469	255	10	lamido	lamido	PROPN
cana-3469	255	11	,	,	PUNCT
cana-3469	255	12	and	and	CCONJ
cana-3469	255	13	muhammad	muhammad	PROPN
cana-3469	255	14	k.	k.	PROPN
cana-3469	255	15	aminu	aminu	PROPN
cana-3469	255	16	.	.	PUNCT
cana-3469	256	1	"	"	PUNCT
cana-3469	256	2	multivariate	multivariate	VERB
cana-3469	256	3	foreign	foreign	ADJ
cana-3469	256	4	exchange	exchange	NOUN
cana-3469	256	5	rate	rate	NOUN
cana-3469	256	6	prediction	prediction	NOUN
cana-3469	256	7	with	with	ADP
cana-3469	256	8	long	long	ADJ
cana-3469	256	9	-	-	PUNCT
cana-3469	256	10	short	short	ADJ
cana-3469	256	11	term	term	NOUN
cana-3469	256	12	memory	memory	NOUN
cana-3469	256	13	deep	deep	ADJ
cana-3469	256	14	learning	learning	NOUN
cana-3469	256	15	networks	network	NOUN
cana-3469	256	16	.	.	PUNCT
cana-3469	256	17	"	"	PUNCT
cana-3469	257	1	[	[	X
cana-3469	257	2	19	19	NUM
cana-3469	257	3	]	]	X
cana-3469	257	4	zhao	zhao	X
cana-3469	257	5	,	,	PUNCT
cana-3469	257	6	yinglan	yinglan	PROPN
cana-3469	257	7	,	,	PUNCT
cana-3469	257	8	et	et	PROPN
cana-3469	257	9	al	al	PROPN
cana-3469	257	10	.	.	PUNCT
cana-3469	258	1	"	"	PUNCT
cana-3469	258	2	early	early	ADJ
cana-3469	258	3	warning	warning	NOUN
cana-3469	258	4	of	of	ADP
cana-3469	258	5	exchange	exchange	NOUN
cana-3469	258	6	rate	rate	NOUN
cana-3469	258	7	risk	risk	NOUN
cana-3469	258	8	based	base	VERB
cana-3469	258	9	on	on	ADP
cana-3469	258	10	structural	structural	ADJ
cana-3469	258	11	shocks	shock	NOUN
cana-3469	258	12	in	in	ADP
cana-3469	258	13	international	international	ADJ
cana-3469	258	14	oil	oil	NOUN
cana-3469	258	15	prices	price	NOUN
cana-3469	258	16	using	use	VERB
cana-3469	258	17	the	the	DET
cana-3469	258	18	lstm	lstm	ADJ
cana-3469	258	19	neural	neural	ADJ
cana-3469	258	20	network	network	NOUN
cana-3469	258	21	model	model	NOUN
cana-3469	258	22	.	.	PUNCT
cana-3469	258	23	"	"	PUNCT
cana-3469	259	1	energy	energy	NOUN
cana-3469	259	2	economics	economic	NOUN
cana-3469	259	3	126	126	NUM
cana-3469	259	4	(	(	PUNCT
cana-3469	259	5	2023	2023	NUM
cana-3469	259	6	):	):	PUNCT
cana-3469	259	7	106921	106921	NUM
cana-3469	259	8	.	.	PUNCT
cana-3469	260	1	[	[	X
cana-3469	260	2	20	20	NUM
cana-3469	260	3	]	]	X
cana-3469	260	4	pholsri	pholsri	ADJ
cana-3469	260	5	,	,	PUNCT
cana-3469	260	6	phurinut	phurinut	ADJ
cana-3469	260	7	,	,	PUNCT
cana-3469	260	8	and	and	CCONJ
cana-3469	260	9	pittipol	pittipol	PROPN
cana-3469	260	10	kantavat	kantavat	PROPN
cana-3469	260	11	.	.	PUNCT
cana-3469	261	1	"	"	PUNCT
cana-3469	261	2	intraday	intraday	NOUN
cana-3469	261	3	stock	stock	NOUN
cana-3469	261	4	trading	trading	NOUN
cana-3469	261	5	strategy	strategy	NOUN
cana-3469	261	6	based	base	VERB
cana-3469	261	7	on	on	ADP
cana-3469	261	8	analysis	analysis	NOUN
cana-3469	261	9	using	use	VERB
cana-3469	261	10	bidirectional	bidirectional	ADJ
cana-3469	261	11	long	long	ADJ
cana-3469	261	12	short	short	ADJ
cana-3469	261	13	-	-	PUNCT
cana-3469	261	14	term	term	NOUN
cana-3469	261	15	memory	memory	NOUN
cana-3469	261	16	networks	network	NOUN
cana-3469	261	17	.	.	PUNCT
cana-3469	261	18	"	"	PUNCT
cana-3469	262	1	2023	2023	NUM
cana-3469	262	2	6th	6th	ADJ
cana-3469	262	3	international	international	ADJ
cana-3469	262	4	conference	conference	NOUN
cana-3469	262	5	on	on	ADP
cana-3469	262	6	artificial	artificial	ADJ
cana-3469	262	7	intelligence	intelligence	NOUN
cana-3469	262	8	and	and	CCONJ
cana-3469	262	9	big	big	ADJ
cana-3469	262	10	data	datum	NOUN
cana-3469	262	11	(	(	PUNCT
cana-3469	262	12	icaibd	icaibd	NOUN
cana-3469	262	13	)	)	PUNCT
cana-3469	262	14	.	.	PUNCT
cana-3469	263	1	ieee	ieee	NOUN
cana-3469	263	2	,	,	PUNCT
cana-3469	263	3	2023	2023	NUM
cana-3469	263	4	.	.	PUNCT
cana-3469	264	1	[	[	X
cana-3469	264	2	21	21	NUM
cana-3469	264	3	]	]	SYM
cana-3469	264	4	thakkar	thakkar	NOUN
cana-3469	264	5	,	,	PUNCT
cana-3469	264	6	ankit	ankit	NOUN
cana-3469	264	7	,	,	PUNCT
cana-3469	264	8	and	and	CCONJ
cana-3469	264	9	kinjal	kinjal	ADJ
cana-3469	264	10	chaudhari	chaudhari	PROPN
cana-3469	264	11	.	.	PUNCT
cana-3469	265	1	"	"	PUNCT
cana-3469	265	2	a	a	DET
cana-3469	265	3	comprehensive	comprehensive	ADJ
cana-3469	265	4	survey	survey	NOUN
cana-3469	265	5	on	on	ADP
cana-3469	265	6	deep	deep	ADJ
cana-3469	265	7	neural	neural	ADJ
cana-3469	265	8	networks	network	NOUN
cana-3469	265	9	for	for	ADP
cana-3469	265	10	the	the	DET
cana-3469	265	11	stock	stock	NOUN
cana-3469	265	12	market	market	NOUN
cana-3469	265	13	:	:	PUNCT
cana-3469	265	14	the	the	DET
cana-3469	265	15	need	need	NOUN
cana-3469	265	16	,	,	PUNCT
cana-3469	265	17	challenges	challenge	NOUN
cana-3469	265	18	,	,	PUNCT
cana-3469	265	19	and	and	CCONJ
cana-3469	265	20	future	future	ADJ
cana-3469	265	21	directions	direction	NOUN
cana-3469	265	22	.	.	PUNCT
cana-3469	265	23	"	"	PUNCT
cana-3469	266	1	expert	expert	ADJ
cana-3469	266	2	systems	system	NOUN
cana-3469	266	3	with	with	ADP
cana-3469	266	4	applications	application	NOUN
cana-3469	266	5	177	177	NUM
cana-3469	266	6	(	(	PUNCT
cana-3469	266	7	2021	2021	NUM
cana-3469	266	8	):	):	PUNCT
cana-3469	266	9	114800	114800	NUM
cana-3469	266	10	.	.	PUNCT
cana-3469	267	1	[	[	X
cana-3469	267	2	22	22	NUM
cana-3469	267	3	]	]	X
cana-3469	267	4	goenka	goenka	PROPN
cana-3469	267	5	,	,	PUNCT
cana-3469	267	6	arnav	arnav	NOUN
cana-3469	267	7	.	.	PUNCT
cana-3469	268	1	"	"	PUNCT
cana-3469	268	2	developing	develop	VERB
cana-3469	268	3	an	an	DET
cana-3469	268	4	integrated	integrate	VERB
cana-3469	268	5	smart	smart	ADJ
cana-3469	268	6	model	model	NOUN
cana-3469	268	7	to	to	PART
cana-3469	268	8	enhance	enhance	VERB
cana-3469	268	9	the	the	DET
cana-3469	268	10	efficacy	efficacy	NOUN
cana-3469	268	11	of	of	ADP
cana-3469	268	12	stock	stock	NOUN
cana-3469	268	13	market	market	NOUN
cana-3469	268	14	prediction	prediction	NOUN
cana-3469	268	15	by	by	ADP
cana-3469	268	16	leveraging	leverage	VERB
cana-3469	268	17	xgboost	xgboost	ADV
cana-3469	268	18	and	and	CCONJ
cana-3469	268	19	long	long	ADJ
cana-3469	268	20	short	short	ADJ
cana-3469	268	21	-	-	PUNCT
cana-3469	268	22	term	term	NOUN
cana-3469	268	23	memory	memory	NOUN
cana-3469	268	24	networks	network	NOUN
cana-3469	268	25	.	.	PUNCT
cana-3469	268	26	"	"	PUNCT
cana-3469	269	1	[	[	X
cana-3469	269	2	23	23	NUM
cana-3469	269	3	]	]	PUNCT
cana-3469	269	4	alamsyah	alamsyah	NOUN
cana-3469	269	5	,	,	PUNCT
cana-3469	269	6	andry	andry	NOUN
cana-3469	269	7	,	,	PUNCT
cana-3469	269	8	and	and	CCONJ
cana-3469	269	9	wahyuning	wahyune	VERB
cana-3469	269	10	hanifah	hanifah	NOUN
cana-3469	269	11	aprillia	aprillia	X
cana-3469	269	12	.	.	PUNCT
cana-3469	270	1	"	"	PUNCT
cana-3469	270	2	comparison	comparison	NOUN
cana-3469	270	3	of	of	ADP
cana-3469	270	4	predictions	prediction	NOUN
cana-3469	270	5	foreign	foreign	ADJ
cana-3469	270	6	currency	currency	NOUN
cana-3469	270	7	exchange	exchange	NOUN
cana-3469	270	8	rates	rate	NOUN
cana-3469	270	9	(	(	PUNCT
cana-3469	270	10	usd	usd	NOUN
cana-3469	270	11	,	,	PUNCT
cana-3469	270	12	jpy	jpy	PROPN
cana-3469	270	13	,	,	PUNCT
cana-3469	270	14	eur	eur	PROPN
cana-3469	270	15	,	,	PUNCT
cana-3469	270	16	gbp	gbp	NOUN
cana-3469	270	17	,	,	PUNCT
cana-3469	270	18	chf	chf	PROPN
cana-3469	270	19	,	,	PUNCT
cana-3469	270	20	cad	cad	PROPN
cana-3469	270	21	)	)	PUNCT
cana-3469	270	22	to	to	ADP
cana-3469	270	23	rupiah	rupiah	PROPN
cana-3469	270	24	(	(	PUNCT
cana-3469	270	25	idr	idr	PROPN
cana-3469	270	26	)	)	PUNCT
cana-3469	270	27	using	use	VERB
cana-3469	270	28	artificial	artificial	ADJ
cana-3469	270	29	neural	neural	ADJ
cana-3469	270	30	network	network	NOUN
cana-3469	270	31	and	and	CCONJ
cana-3469	270	32	long	long	ADJ
cana-3469	270	33	short	short	ADJ
cana-3469	270	34	-	-	PUNCT
cana-3469	270	35	term	term	NOUN
cana-3469	270	36	memory	memory	NOUN
cana-3469	270	37	.	.	PUNCT
cana-3469	270	38	"	"	PUNCT
cana-3469	271	1	2022	2022	NUM
cana-3469	271	2	6th	6th	ADJ
cana-3469	271	3	international	international	ADJ
cana-3469	271	4	conference	conference	NOUN
cana-3469	271	5	on	on	ADP
cana-3469	271	6	information	information	NOUN
cana-3469	271	7	technology	technology	NOUN
cana-3469	271	8	,	,	PUNCT
cana-3469	271	9	information	information	NOUN
cana-3469	271	10	systems	system	NOUN
cana-3469	271	11	and	and	CCONJ
cana-3469	271	12	electrical	electrical	ADJ
cana-3469	271	13	engineering	engineering	NOUN
cana-3469	271	14	(	(	PUNCT
cana-3469	271	15	icitisee	icitisee	NOUN
cana-3469	271	16	)	)	PUNCT
cana-3469	271	17	.	.	PUNCT
cana-3469	272	1	ieee	ieee	NOUN
cana-3469	272	2	,	,	PUNCT
cana-3469	272	3	2022	2022	NUM
cana-3469	272	4	.	.	PUNCT
cana-3469	273	1	[	[	X
cana-3469	273	2	24	24	NUM
cana-3469	273	3	]	]	X
cana-3469	273	4	fan	fan	PROPN
cana-3469	273	5	,	,	PUNCT
cana-3469	273	6	min	min	PROPN
cana-3469	273	7	-	-	PUNCT
cana-3469	273	8	hsuan	hsuan	PROPN
cana-3469	273	9	,	,	PUNCT
cana-3469	273	10	jing	jing	ADJ
cana-3469	273	11	-	-	PUNCT
cana-3469	273	12	long	long	PROPN
cana-3469	273	13	huang	huang	PROPN
cana-3469	273	14	,	,	PUNCT
cana-3469	273	15	and	and	CCONJ
cana-3469	273	16	mu	mu	PROPN
cana-3469	273	17	-	-	PUNCT
cana-3469	273	18	yen	yen	NOUN
cana-3469	273	19	chen	chen	PROPN
cana-3469	273	20	.	.	PUNCT
cana-3469	274	1	"	"	PUNCT
cana-3469	274	2	stock	stock	NOUN
cana-3469	274	3	and	and	CCONJ
cana-3469	274	4	futures	future	NOUN
cana-3469	274	5	market	market	NOUN
cana-3469	274	6	prediction	prediction	NOUN
cana-3469	274	7	using	use	VERB
cana-3469	274	8	deep	deep	ADJ
cana-3469	274	9	learning	learning	NOUN
cana-3469	274	10	approach	approach	NOUN
cana-3469	274	11	.	.	PUNCT
cana-3469	274	12	"	"	PUNCT
cana-3469	275	1	(	(	PUNCT
cana-3469	275	2	2024	2024	NUM
cana-3469	275	3	)	)	PUNCT
cana-3469	275	4	.	.	PUNCT
cana-3469	276	1	[	[	X
cana-3469	276	2	25	25	NUM
cana-3469	276	3	]	]	X
cana-3469	276	4	ghosh	ghosh	PROPN
cana-3469	276	5	,	,	PUNCT
cana-3469	276	6	bishnu	bishnu	PROPN
cana-3469	276	7	padh	padh	PROPN
cana-3469	276	8	,	,	PUNCT
cana-3469	276	9	et	et	PROPN
cana-3469	276	10	al	al	PROPN
cana-3469	276	11	.	.	PUNCT
cana-3469	277	1	"	"	PUNCT
cana-3469	277	2	deep	deep	ADJ
cana-3469	277	3	learning	learning	NOUN
cana-3469	277	4	in	in	ADP
cana-3469	277	5	stock	stock	NOUN
cana-3469	277	6	market	market	NOUN
cana-3469	277	7	forecasting	forecasting	NOUN
cana-3469	277	8	:	:	PUNCT
cana-3469	277	9	comparative	comparative	ADJ
cana-3469	277	10	analysis	analysis	NOUN
cana-3469	277	11	of	of	ADP
cana-3469	277	12	neural	neural	ADJ
cana-3469	277	13	network	network	NOUN
cana-3469	277	14	architectures	architecture	NOUN
cana-3469	277	15	across	across	ADP
cana-3469	277	16	nse	nse	NOUN
cana-3469	277	17	and	and	CCONJ
cana-3469	277	18	nyse	nyse	PROPN
cana-3469	277	19	.	.	PUNCT
cana-3469	277	20	"	"	PUNCT
cana-3469	278	1	journal	journal	NOUN
cana-3469	278	2	of	of	ADP
cana-3469	278	3	computer	computer	NOUN
cana-3469	278	4	science	science	NOUN
cana-3469	278	5	and	and	CCONJ
cana-3469	278	6	technology	technology	NOUN
cana-3469	278	7	studies	study	NOUN
cana-3469	278	8	6.1	6.1	NUM
cana-3469	278	9	(	(	PUNCT
cana-3469	278	10	2024	2024	NUM
cana-3469	278	11	):	):	PUNCT
cana-3469	278	12	68	68	NUM
cana-3469	278	13	-	-	SYM
cana-3469	278	14	75	75	NUM
cana-3469	278	15	.	.	PUNCT