id	sid	tid	token	lemma	pos
cana-1120	1	1	communications	communication	NOUN
cana-1120	1	2	on	on	ADP
cana-1120	1	3	applied	apply	VERB
cana-1120	1	4	nonlinear	nonlinear	ADJ
cana-1120	1	5	analysis	analysis	NOUN
cana-1120	1	6	issn	issn	NOUN
cana-1120	1	7	:	:	PUNCT
cana-1120	1	8	1074	1074	NUM
cana-1120	1	9	-	-	PUNCT
cana-1120	1	10	133x	133x	NUM
cana-1120	1	11	vol	vol	NOUN
cana-1120	1	12	31	31	NUM
cana-1120	1	13	no	no	NOUN
cana-1120	1	14	.	.	PUNCT
cana-1120	2	1	6s	6s	NUM
cana-1120	2	2	(	(	PUNCT
cana-1120	2	3	2024	2024	NUM
cana-1120	2	4	)	)	PUNCT
cana-1120	2	5	61	61	NUM
cana-1120	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	2	7	integration	integration	NOUN
cana-1120	2	8	of	of	ADP
cana-1120	2	9	hybrid	hybrid	ADJ
cana-1120	2	10	arima	arima	PROPN
cana-1120	2	11	artificial	artificial	ADJ
cana-1120	2	12	neural	neural	ADJ
cana-1120	2	13	networks	network	NOUN
cana-1120	2	14	for	for	ADP
cana-1120	2	15	accurate	accurate	ADJ
cana-1120	2	16	platinum	platinum	NOUN
cana-1120	2	17	price	price	NOUN
cana-1120	2	18	prediction	prediction	NOUN
cana-1120	2	19	k.	k.	PROPN
cana-1120	2	20	lakshmi1	lakshmi1	PROPN
cana-1120	2	21	,	,	PUNCT
cana-1120	2	22	dr	dr	PROPN
cana-1120	2	23	.	.	PROPN
cana-1120	2	24	n.	n.	PROPN
cana-1120	2	25	konda	konda	PROPN
cana-1120	2	26	reddy2	reddy2	PROPN
cana-1120	2	27	,	,	PUNCT
cana-1120	2	28	dr	dr	PROPN
cana-1120	2	29	.	.	PROPN
cana-1120	2	30	m.	m.	PROPN
cana-1120	2	31	raghavender	raghavender	PROPN
cana-1120	2	32	sharma3	sharma3	NOUN
cana-1120	2	33	1department	1department	NUM
cana-1120	2	34	of	of	ADP
cana-1120	2	35	engineering	engineering	NOUN
cana-1120	2	36	mathematics	mathematic	NOUN
cana-1120	2	37	,	,	PUNCT
cana-1120	2	38	k	k	PROPN
cana-1120	2	39	l	l	NOUN
cana-1120	2	40	e	e	X
cana-1120	2	41	f	f	X
cana-1120	2	42	(	(	PUNCT
cana-1120	2	43	deemed	deem	VERB
cana-1120	2	44	to	to	PART
cana-1120	2	45	be	be	AUX
cana-1120	2	46	university	university	NOUN
cana-1120	2	47	)	)	PUNCT
cana-1120	2	48	,	,	PUNCT
cana-1120	2	49	green	green	ADJ
cana-1120	2	50	fields	field	NOUN
cana-1120	2	51	,	,	PUNCT
cana-1120	2	52	vaddeswaram	vaddeswaram	NOUN
cana-1120	2	53	,	,	PUNCT
cana-1120	2	54	guntur	guntur	PROPN
cana-1120	2	55	district	district	PROPN
cana-1120	2	56	,	,	PUNCT
cana-1120	2	57	andhra	andhra	PROPN
cana-1120	2	58	pradesh	pradesh	PROPN
cana-1120	2	59	,	,	PUNCT
cana-1120	2	60	india	india	PROPN
cana-1120	2	61	.	.	PUNCT
cana-1120	3	1	email	email	NOUN
cana-1120	3	2	karanam.lakshmi12@gmail.com	karanam.lakshmi12@gmail.com	X
cana-1120	4	1	2associate	2associate	NUM
cana-1120	4	2	professor	professor	NOUN
cana-1120	4	3	,	,	PUNCT
cana-1120	4	4	department	department	NOUN
cana-1120	4	5	of	of	ADP
cana-1120	4	6	engineering	engineering	NOUN
cana-1120	4	7	mathematics	mathematic	NOUN
cana-1120	4	8	,	,	PUNCT
cana-1120	4	9	k	k	PROPN
cana-1120	4	10	l	l	NOUN
cana-1120	4	11	e	e	X
cana-1120	4	12	f	f	X
cana-1120	4	13	(	(	PUNCT
cana-1120	4	14	deemed	deem	VERB
cana-1120	4	15	to	to	PART
cana-1120	4	16	be	be	AUX
cana-1120	4	17	university	university	NOUN
cana-1120	4	18	)	)	PUNCT
cana-1120	4	19	,	,	PUNCT
cana-1120	4	20	green	green	ADJ
cana-1120	4	21	fields	field	NOUN
cana-1120	4	22	,	,	PUNCT
cana-1120	4	23	vaddeswaram	vaddeswaram	NOUN
cana-1120	4	24	,	,	PUNCT
cana-1120	4	25	guntur	guntur	PROPN
cana-1120	4	26	district	district	PROPN
cana-1120	4	27	,	,	PUNCT
cana-1120	4	28	andhra	andhra	PROPN
cana-1120	4	29	pradesh	pradesh	PROPN
cana-1120	4	30	,	,	PUNCT
cana-1120	4	31	india	india	PROPN
cana-1120	4	32	.	.	PUNCT
cana-1120	5	1	email	email	NOUN
cana-1120	6	1	kondareddymamatha@gmail.com	kondareddymamatha@gmail.com	X
cana-1120	7	1	3assistant	3assistant	NUM
cana-1120	7	2	professor	professor	NOUN
cana-1120	7	3	,	,	PUNCT
cana-1120	7	4	department	department	NOUN
cana-1120	7	5	of	of	ADP
cana-1120	7	6	statistics	statistics	PROPN
cana-1120	7	7	,	,	PUNCT
cana-1120	7	8	osmania	osmania	PROPN
cana-1120	7	9	university	university	PROPN
cana-1120	7	10	,	,	PUNCT
cana-1120	7	11	hyderabad	hyderabad	PROPN
cana-1120	7	12	,	,	PUNCT
cana-1120	7	13	telangana	telangana	PROPN
cana-1120	7	14	,	,	PUNCT
cana-1120	7	15	india	india	PROPN
cana-1120	7	16	.	.	PUNCT
cana-1120	8	1	email	email	NOUN
cana-1120	8	2	drmrsstatou@gmail.com	drmrsstatou@gmail.com	PROPN
cana-1120	8	3	article	article	NOUN
cana-1120	8	4	history	history	NOUN
cana-1120	8	5	:	:	PUNCT
cana-1120	8	6	received	receive	VERB
cana-1120	8	7	:	:	PUNCT
cana-1120	8	8	22	22	NUM
cana-1120	8	9	-	-	SYM
cana-1120	8	10	05	05	NUM
cana-1120	8	11	-	-	PUNCT
cana-1120	8	12	2024	2024	NUM
cana-1120	8	13	revised	revise	VERB
cana-1120	8	14	:	:	PUNCT
cana-1120	8	15	28	28	NUM
cana-1120	8	16	-	-	SYM
cana-1120	8	17	06	06	NUM
cana-1120	8	18	-	-	PUNCT
cana-1120	8	19	2024	2024	NUM
cana-1120	8	20	accepted	accept	VERB
cana-1120	8	21	:	:	PUNCT
cana-1120	8	22	18	18	NUM
cana-1120	8	23	-	-	SYM
cana-1120	8	24	07	07	NUM
cana-1120	8	25	-	-	PUNCT
cana-1120	8	26	2024	2024	NUM
cana-1120	8	27	abstract	abstract	NOUN
cana-1120	8	28	:	:	PUNCT
cana-1120	8	29	introduction	introduction	NOUN
cana-1120	8	30	:	:	PUNCT
cana-1120	8	31	the	the	DET
cana-1120	8	32	autoregressive	autoregressive	ADJ
cana-1120	8	33	integrated	integrated	ADJ
cana-1120	8	34	moving	move	VERB
cana-1120	8	35	average	average	ADJ
cana-1120	8	36	(	(	PUNCT
cana-1120	8	37	arima	arima	NOUN
cana-1120	8	38	)	)	PUNCT
cana-1120	8	39	has	have	AUX
cana-1120	8	40	been	be	AUX
cana-1120	8	41	a	a	DET
cana-1120	8	42	widely	widely	ADV
cana-1120	8	43	used	use	VERB
cana-1120	8	44	linear	linear	NOUN
cana-1120	8	45	model	model	NOUN
cana-1120	8	46	in	in	ADP
cana-1120	8	47	time	time	NOUN
cana-1120	8	48	series	series	PROPN
cana-1120	8	49	forecasting	forecasting	NOUN
cana-1120	8	50	for	for	ADP
cana-1120	8	51	the	the	DET
cana-1120	8	52	last	last	ADJ
cana-1120	8	53	thirty	thirty	NUM
cana-1120	8	54	years	year	NOUN
cana-1120	8	55	.	.	PUNCT
cana-1120	9	1	furthermore	furthermore	ADV
cana-1120	9	2	,	,	PUNCT
cana-1120	9	3	as	as	ADP
cana-1120	9	4	a	a	DET
cana-1120	9	5	potent	potent	ADJ
cana-1120	9	6	and	and	CCONJ
cana-1120	9	7	adaptable	adaptable	ADJ
cana-1120	9	8	computational	computational	ADJ
cana-1120	9	9	tool	tool	NOUN
cana-1120	9	10	,	,	PUNCT
cana-1120	9	11	artificial	artificial	ADJ
cana-1120	9	12	neural	neural	ADJ
cana-1120	9	13	networks	network	NOUN
cana-1120	9	14	(	(	PUNCT
cana-1120	9	15	anns	anns	PROPN
cana-1120	9	16	)	)	PUNCT
cana-1120	9	17	have	have	AUX
cana-1120	9	18	been	be	AUX
cana-1120	9	19	employed	employ	VERB
cana-1120	9	20	in	in	ADP
cana-1120	9	21	recent	recent	ADJ
cana-1120	9	22	years	year	NOUN
cana-1120	9	23	to	to	PART
cana-1120	9	24	capture	capture	VERB
cana-1120	9	25	the	the	DET
cana-1120	9	26	intricate	intricate	ADJ
cana-1120	9	27	economic	economic	ADJ
cana-1120	9	28	interactions	interaction	NOUN
cana-1120	9	29	with	with	ADP
cana-1120	9	30	a	a	DET
cana-1120	9	31	range	range	NOUN
cana-1120	9	32	of	of	ADP
cana-1120	9	33	patterns	pattern	NOUN
cana-1120	9	34	.	.	PUNCT
cana-1120	10	1	efficacy	efficacy	NOUN
cana-1120	10	2	of	of	ADP
cana-1120	10	3	the	the	DET
cana-1120	10	4	anns	anns	PROPN
cana-1120	10	5	model	model	NOUN
cana-1120	10	6	in	in	ADP
cana-1120	10	7	comparison	comparison	NOUN
cana-1120	10	8	to	to	ADP
cana-1120	10	9	the	the	DET
cana-1120	10	10	arima	arima	PROPN
cana-1120	10	11	model	model	NOUN
cana-1120	10	12	,	,	PUNCT
cana-1120	10	13	the	the	DET
cana-1120	10	14	majority	majority	NOUN
cana-1120	10	15	of	of	ADP
cana-1120	10	16	this	this	DET
cana-1120	10	17	research	research	NOUN
cana-1120	10	18	has	have	AUX
cana-1120	10	19	shown	show	VERB
cana-1120	10	20	inconsistent	inconsistent	ADJ
cana-1120	10	21	findings	finding	NOUN
cana-1120	10	22	.	.	PUNCT
cana-1120	11	1	objectives	objective	NOUN
cana-1120	11	2	:	:	PUNCT
cana-1120	11	3	the	the	DET
cana-1120	11	4	study	study	NOUN
cana-1120	11	5	aims	aim	VERB
cana-1120	11	6	to	to	PART
cana-1120	11	7	increase	increase	VERB
cana-1120	11	8	the	the	DET
cana-1120	11	9	accuracy	accuracy	NOUN
cana-1120	11	10	of	of	ADP
cana-1120	11	11	platinum	platinum	NOUN
cana-1120	11	12	price	price	NOUN
cana-1120	11	13	forecasts	forecast	NOUN
cana-1120	11	14	through	through	ADP
cana-1120	11	15	the	the	DET
cana-1120	11	16	use	use	NOUN
cana-1120	11	17	of	of	ADP
cana-1120	11	18	hybrid	hybrid	ADJ
cana-1120	11	19	models	model	NOUN
cana-1120	11	20	,	,	PUNCT
cana-1120	11	21	anns	ann	NOUN
cana-1120	11	22	,	,	PUNCT
cana-1120	11	23	and	and	CCONJ
cana-1120	11	24	arima	arima	PROPN
cana-1120	11	25	(	(	PUNCT
cana-1120	11	26	auto	auto	NOUN
cana-1120	11	27	regressive	regressive	ADJ
cana-1120	11	28	integrated	integrated	ADJ
cana-1120	11	29	moving	move	VERB
cana-1120	11	30	average	average	ADJ
cana-1120	11	31	)	)	PUNCT
cana-1120	11	32	techniques	technique	NOUN
cana-1120	11	33	.	.	PUNCT
cana-1120	12	1	arima	arima	PROPN
cana-1120	12	2	is	be	AUX
cana-1120	12	3	a	a	DET
cana-1120	12	4	traditional	traditional	ADJ
cana-1120	12	5	time	time	NOUN
cana-1120	12	6	series	series	NOUN
cana-1120	12	7	model	model	NOUN
cana-1120	12	8	that	that	PRON
cana-1120	12	9	is	be	AUX
cana-1120	12	10	used	use	VERB
cana-1120	12	11	to	to	PART
cana-1120	12	12	capture	capture	VERB
cana-1120	12	13	and	and	CCONJ
cana-1120	12	14	model	model	VERB
cana-1120	12	15	the	the	DET
cana-1120	12	16	intrinsic	intrinsic	ADJ
cana-1120	12	17	oscillations	oscillation	NOUN
cana-1120	12	18	in	in	ADP
cana-1120	12	19	platinum	platinum	NOUN
cana-1120	12	20	price	price	NOUN
cana-1120	12	21	data	datum	NOUN
cana-1120	12	22	.	.	PUNCT
cana-1120	13	1	methods	method	NOUN
cana-1120	13	2	:	:	PUNCT
cana-1120	13	3	in	in	ADP
cana-1120	13	4	this	this	DET
cana-1120	13	5	research	research	NOUN
cana-1120	13	6	work	work	NOUN
cana-1120	13	7	,	,	PUNCT
cana-1120	13	8	we	we	PRON
cana-1120	13	9	present	present	VERB
cana-1120	13	10	a	a	DET
cana-1120	13	11	hybrid	hybrid	ADJ
cana-1120	13	12	model	model	NOUN
cana-1120	13	13	that	that	PRON
cana-1120	13	14	combines	combine	VERB
cana-1120	13	15	the	the	DET
cana-1120	13	16	best	good	ADJ
cana-1120	13	17	features	feature	NOUN
cana-1120	13	18	of	of	ADP
cana-1120	13	19	anns	anns	NOUN
cana-1120	13	20	and	and	CCONJ
cana-1120	13	21	arima	arima	PROPN
cana-1120	13	22	to	to	PART
cana-1120	13	23	simulate	simulate	VERB
cana-1120	13	24	both	both	CCONJ
cana-1120	13	25	linear	linear	ADJ
cana-1120	13	26	and	and	CCONJ
cana-1120	13	27	nonlinear	nonlinear	ADJ
cana-1120	13	28	behaviors	behavior	NOUN
cana-1120	13	29	in	in	ADP
cana-1120	13	30	the	the	DET
cana-1120	13	31	data	datum	NOUN
cana-1120	13	32	set	set	VERB
cana-1120	13	33	.	.	PUNCT
cana-1120	14	1	according	accord	VERB
cana-1120	14	2	to	to	ADP
cana-1120	14	3	the	the	DET
cana-1120	14	4	study	study	NOUN
cana-1120	14	5	,	,	PUNCT
cana-1120	14	6	the	the	DET
cana-1120	14	7	hybrid	hybrid	NOUN
cana-1120	14	8	model	model	NOUN
cana-1120	14	9	outperforms	outperform	VERB
cana-1120	14	10	the	the	DET
cana-1120	14	11	box	box	NOUN
cana-1120	14	12	-	-	PUNCT
cana-1120	14	13	jenkins	jenkin	NOUN
cana-1120	14	14	and	and	CCONJ
cana-1120	14	15	ffnn	ffnn	NOUN
cana-1120	14	16	models	model	NOUN
cana-1120	14	17	in	in	ADP
cana-1120	14	18	terms	term	NOUN
cana-1120	14	19	of	of	ADP
cana-1120	14	20	forecasting	forecast	VERB
cana-1120	14	21	different	different	ADJ
cana-1120	14	22	data	data	NOUN
cana-1120	14	23	sets	set	NOUN
cana-1120	14	24	with	with	ADP
cana-1120	14	25	more	more	ADJ
cana-1120	14	26	accuracy	accuracy	NOUN
cana-1120	14	27	.	.	PUNCT
cana-1120	15	1	here	here	ADV
cana-1120	15	2	study	study	NOUN
cana-1120	15	3	investigates	investigate	VERB
cana-1120	15	4	the	the	DET
cana-1120	15	5	developing	develop	VERB
cana-1120	15	6	field	field	NOUN
cana-1120	15	7	of	of	ADP
cana-1120	15	8	platinum	platinum	NOUN
cana-1120	15	9	price	price	NOUN
cana-1120	15	10	prediction	prediction	NOUN
cana-1120	15	11	with	with	ADP
cana-1120	15	12	a	a	DET
cana-1120	15	13	comprehensive	comprehensive	ADJ
cana-1120	15	14	approach	approach	NOUN
cana-1120	15	15	that	that	PRON
cana-1120	15	16	blends	blend	VERB
cana-1120	15	17	state	state	NOUN
cana-1120	15	18	-	-	PUNCT
cana-1120	15	19	of	of	ADP
cana-1120	15	20	-	-	PUNCT
cana-1120	15	21	the	the	DET
cana-1120	15	22	-	-	PUNCT
cana-1120	15	23	art	art	NOUN
cana-1120	15	24	machine	machine	NOUN
cana-1120	15	25	learning	learn	VERB
cana-1120	15	26	methods	method	NOUN
cana-1120	15	27	with	with	ADP
cana-1120	15	28	traditional	traditional	ADJ
cana-1120	15	29	time	time	NOUN
cana-1120	15	30	series	series	PROPN
cana-1120	15	31	analysis	analysis	NOUN
cana-1120	15	32	.	.	PUNCT
cana-1120	16	1	results	result	NOUN
cana-1120	16	2	:	:	PUNCT
cana-1120	16	3	in	in	ADP
cana-1120	16	4	order	order	NOUN
cana-1120	16	5	to	to	PART
cana-1120	16	6	increase	increase	VERB
cana-1120	16	7	forecasting	forecasting	NOUN
cana-1120	16	8	accuracy	accuracy	NOUN
cana-1120	16	9	,	,	PUNCT
cana-1120	16	10	combining	combine	VERB
cana-1120	16	11	single	single	ADJ
cana-1120	16	12	and	and	CCONJ
cana-1120	16	13	hybrid	hybrid	NOUN
cana-1120	16	14	models	model	NOUN
cana-1120	16	15	has	have	VERB
cana-1120	16	16	more	more	ADJ
cana-1120	16	17	possibilities	possibility	NOUN
cana-1120	16	18	.	.	PUNCT
cana-1120	17	1	in	in	ADP
cana-1120	17	2	order	order	NOUN
cana-1120	17	3	to	to	PART
cana-1120	17	4	forecast	forecast	VERB
cana-1120	17	5	time	time	NOUN
cana-1120	17	6	series	series	NOUN
cana-1120	17	7	,	,	PUNCT
cana-1120	17	8	this	this	DET
cana-1120	17	9	study	study	NOUN
cana-1120	17	10	compared	compare	VERB
cana-1120	17	11	arima	arima	PROPN
cana-1120	17	12	,	,	PUNCT
cana-1120	17	13	ann	ann	PROPN
cana-1120	17	14	,	,	PUNCT
cana-1120	17	15	and	and	CCONJ
cana-1120	17	16	hybrid	hybrid	NOUN
cana-1120	17	17	models	model	NOUN
cana-1120	17	18	.	.	PUNCT
cana-1120	18	1	results	result	NOUN
cana-1120	18	2	of	of	ADP
cana-1120	18	3	this	this	DET
cana-1120	18	4	study	study	NOUN
cana-1120	18	5	reveals	reveal	VERB
cana-1120	18	6	that	that	SCONJ
cana-1120	18	7	hybrid	hybrid	ADJ
cana-1120	18	8	model	model	NOUN
cana-1120	18	9	is	be	AUX
cana-1120	18	10	66	66	NUM
cana-1120	18	11	%	%	NOUN
cana-1120	18	12	and	and	CCONJ
cana-1120	18	13	90	90	NUM
cana-1120	18	14	%	%	NOUN
cana-1120	18	15	better	well	ADJ
cana-1120	18	16	model	model	NOUN
cana-1120	18	17	than	than	ADP
cana-1120	18	18	arima	arima	NOUN
cana-1120	18	19	and	and	CCONJ
cana-1120	18	20	ffnn	ffnn	NOUN
cana-1120	18	21	models	model	NOUN
cana-1120	18	22	respectively	respectively	ADV
cana-1120	18	23	and	and	CCONJ
cana-1120	18	24	empirical	empirical	ADJ
cana-1120	18	25	results	result	NOUN
cana-1120	18	26	from	from	ADP
cana-1120	18	27	the	the	DET
cana-1120	18	28	application	application	NOUN
cana-1120	18	29	of	of	ADP
cana-1120	18	30	hybrid	hybrid	NOUN
cana-1120	18	31	model	model	NOUN
cana-1120	18	32	reduces	reduce	VERB
cana-1120	18	33	50	50	NUM
cana-1120	18	34	%	%	NOUN
cana-1120	18	35	error	error	NOUN
cana-1120	18	36	metrics	metric	NOUN
cana-1120	18	37	in	in	ADP
cana-1120	18	38	out	out	ADP
cana-1120	18	39	of	of	ADP
cana-1120	18	40	sample	sample	NOUN
cana-1120	18	41	in	in	ADP
cana-1120	18	42	comparison	comparison	NOUN
cana-1120	18	43	to	to	ADP
cana-1120	18	44	in	in	ADP
cana-1120	18	45	sample	sample	NOUN
cana-1120	18	46	therefore	therefore	ADV
cana-1120	18	47	the	the	DET
cana-1120	18	48	suitable	suitable	ADJ
cana-1120	18	49	model	model	NOUN
cana-1120	18	50	for	for	ADP
cana-1120	18	51	prediction	prediction	NOUN
cana-1120	18	52	of	of	ADP
cana-1120	18	53	platinum	platinum	NOUN
cana-1120	18	54	prices	price	NOUN
cana-1120	18	55	is	be	AUX
cana-1120	18	56	hybrid	hybrid	ADJ
cana-1120	18	57	model	model	NOUN
cana-1120	18	58	.	.	PUNCT
cana-1120	19	1	using	use	VERB
cana-1120	19	2	hybrid	hybrid	ADJ
cana-1120	19	3	models	model	NOUN
cana-1120	19	4	to	to	PART
cana-1120	19	5	increase	increase	VERB
cana-1120	19	6	predicting	predict	VERB
cana-1120	19	7	accuracy	accuracy	NOUN
cana-1120	19	8	yielded	yield	VERB
cana-1120	19	9	the	the	DET
cana-1120	19	10	most	most	ADV
cana-1120	19	11	significant	significant	ADJ
cana-1120	19	12	findings	finding	NOUN
cana-1120	19	13	.	.	PUNCT
cana-1120	20	1	conclusions	conclusion	NOUN
cana-1120	20	2	:	:	PUNCT
cana-1120	20	3	a	a	DET
cana-1120	20	4	better	well	ADJ
cana-1120	20	5	time	time	NOUN
cana-1120	20	6	-	-	PUNCT
cana-1120	20	7	series	series	NOUN
cana-1120	20	8	forecast	forecast	NOUN
cana-1120	20	9	is	be	AUX
cana-1120	20	10	essential	essential	ADJ
cana-1120	20	11	,	,	PUNCT
cana-1120	20	12	but	but	CCONJ
cana-1120	20	13	there	there	PRON
cana-1120	20	14	are	be	VERB
cana-1120	20	15	several	several	ADJ
cana-1120	20	16	areas	area	NOUN
cana-1120	20	17	of	of	ADP
cana-1120	20	18	emphasis	emphasis	NOUN
cana-1120	20	19	for	for	ADP
cana-1120	20	20	the	the	DET
cana-1120	20	21	created	create	VERB
cana-1120	20	22	forecasting	forecasting	NOUN
cana-1120	20	23	models	model	NOUN
cana-1120	20	24	,	,	PUNCT
cana-1120	20	25	particularly	particularly	ADV
cana-1120	20	26	with	with	ADP
cana-1120	20	27	regard	regard	NOUN
cana-1120	20	28	to	to	ADP
cana-1120	20	29	these	these	DET
cana-1120	20	30	improvements	improvement	NOUN
cana-1120	20	31	in	in	ADP
cana-1120	20	32	prediction	prediction	NOUN
cana-1120	20	33	accuracies	accuracy	NOUN
cana-1120	20	34	that	that	PRON
cana-1120	20	35	support	support	VERB
cana-1120	20	36	predictions	prediction	NOUN
cana-1120	20	37	.	.	PUNCT
cana-1120	21	1	they	they	PRON
cana-1120	21	2	are	be	AUX
cana-1120	21	3	often	often	ADV
cana-1120	21	4	used	use	VERB
cana-1120	21	5	to	to	PART
cana-1120	21	6	linear	linear	VERB
cana-1120	21	7	and	and	CCONJ
cana-1120	21	8	nonlinear	nonlinear	ADJ
cana-1120	21	9	forecasting	forecasting	NOUN
cana-1120	21	10	models	model	NOUN
cana-1120	21	11	.	.	PUNCT
cana-1120	22	1	even	even	ADV
cana-1120	22	2	while	while	SCONJ
cana-1120	22	3	single	single	ADJ
cana-1120	22	4	models	model	NOUN
cana-1120	22	5	are	be	AUX
cana-1120	22	6	correct	correct	ADJ
cana-1120	22	7	during	during	ADP
cana-1120	22	8	some	some	DET
cana-1120	22	9	prediction	prediction	NOUN
cana-1120	22	10	periods	period	NOUN
cana-1120	22	11	,	,	PUNCT
cana-1120	22	12	hybrid	hybrid	ADJ
cana-1120	22	13	models	model	NOUN
cana-1120	22	14	often	often	ADV
cana-1120	22	15	provide	provide	VERB
cana-1120	22	16	superior	superior	ADJ
cana-1120	22	17	overall	overall	ADJ
cana-1120	22	18	prediction	prediction	NOUN
cana-1120	22	19	outcomes	outcome	NOUN
cana-1120	22	20	than	than	ADP
cana-1120	22	21	single	single	ADJ
cana-1120	22	22	forecasting	forecasting	NOUN
cana-1120	22	23	models	model	NOUN
cana-1120	22	24	.	.	PUNCT
cana-1120	23	1	keywords	keyword	NOUN
cana-1120	23	2	:	:	PUNCT
cana-1120	23	3	autoregressive	autoregressive	ADJ
cana-1120	23	4	integrated	integrated	ADJ
cana-1120	23	5	moving	move	VERB
cana-1120	23	6	average	average	ADJ
cana-1120	23	7	,	,	PUNCT
cana-1120	23	8	artificial	artificial	ADJ
cana-1120	23	9	neural	neural	ADJ
cana-1120	23	10	networks	network	NOUN
cana-1120	23	11	,	,	PUNCT
cana-1120	23	12	platinum	platinum	NOUN
cana-1120	23	13	price	price	NOUN
cana-1120	23	14	prediction	prediction	NOUN
cana-1120	23	15	,	,	PUNCT
cana-1120	23	16	and	and	CCONJ
cana-1120	23	17	feed	feed	VERB
cana-1120	23	18	forward	forward	ADV
cana-1120	23	19	neural	neural	ADJ
cana-1120	23	20	network	network	NOUN
cana-1120	23	21	mailto:karanam.lakshmi12@gmail.com	mailto:karanam.lakshmi12@gmail.com	X
cana-1120	23	22	mailto:kondareddymamatha@gmail.com	mailto:kondareddymamatha@gmail.com	X
cana-1120	23	23	mailto:drmrsstatou@gmail.com	mailto:drmrsstatou@gmail.com	PROPN
cana-1120	23	24	communications	communication	NOUN
cana-1120	23	25	on	on	ADP
cana-1120	23	26	applied	apply	VERB
cana-1120	23	27	nonlinear	nonlinear	ADJ
cana-1120	23	28	analysis	analysis	NOUN
cana-1120	23	29	issn	issn	NOUN
cana-1120	23	30	:	:	PUNCT
cana-1120	23	31	1074	1074	NUM
cana-1120	23	32	-	-	PUNCT
cana-1120	23	33	133x	133x	NUM
cana-1120	23	34	vol	vol	NOUN
cana-1120	23	35	31	31	NUM
cana-1120	23	36	no	no	NOUN
cana-1120	23	37	.	.	PUNCT
cana-1120	24	1	6s	6s	NUM
cana-1120	24	2	(	(	PUNCT
cana-1120	24	3	2024	2024	NUM
cana-1120	24	4	)	)	PUNCT
cana-1120	24	5	62	62	NUM
cana-1120	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	24	7	1	1	X
cana-1120	24	8	.	.	PUNCT
cana-1120	24	9	introduction	introduction	NOUN
cana-1120	24	10	a	a	DET
cana-1120	24	11	rarer	rarer	ADV
cana-1120	24	12	valuable	valuable	ADJ
cana-1120	24	13	metal	metal	NOUN
cana-1120	24	14	than	than	ADP
cana-1120	24	15	gold	gold	NOUN
cana-1120	24	16	is	be	AUX
cana-1120	24	17	platinum	platinum	NOUN
cana-1120	24	18	.	.	PUNCT
cana-1120	25	1	the	the	DET
cana-1120	25	2	metal	metal	NOUN
cana-1120	25	3	is	be	AUX
cana-1120	25	4	not	not	PART
cana-1120	25	5	widely	widely	ADV
cana-1120	25	6	available	available	ADJ
cana-1120	25	7	worldwide	worldwide	ADV
cana-1120	25	8	.	.	PUNCT
cana-1120	26	1	platinum	platinum	NOUN
cana-1120	26	2	is	be	AUX
cana-1120	26	3	also	also	ADV
cana-1120	26	4	widely	widely	ADV
cana-1120	26	5	used	use	VERB
cana-1120	26	6	in	in	ADP
cana-1120	26	7	industry	industry	NOUN
cana-1120	26	8	,	,	PUNCT
cana-1120	26	9	unlike	unlike	ADP
cana-1120	26	10	gold	gold	NOUN
cana-1120	26	11	.	.	PUNCT
cana-1120	27	1	paint	paint	NOUN
cana-1120	27	2	,	,	PUNCT
cana-1120	27	3	gasoline	gasoline	NOUN
cana-1120	27	4	,	,	PUNCT
cana-1120	27	5	and	and	CCONJ
cana-1120	27	6	electronics	electronic	NOUN
cana-1120	27	7	are	be	AUX
cana-1120	27	8	included	include	VERB
cana-1120	27	9	in	in	ADP
cana-1120	27	10	this	this	PRON
cana-1120	27	11	.	.	PUNCT
cana-1120	28	1	platinum	platinum	NOUN
cana-1120	28	2	investments	investment	NOUN
cana-1120	28	3	may	may	AUX
cana-1120	28	4	be	be	AUX
cana-1120	28	5	a	a	DET
cana-1120	28	6	fantastic	fantastic	ADJ
cana-1120	28	7	way	way	NOUN
cana-1120	28	8	to	to	PART
cana-1120	28	9	diversify	diversify	VERB
cana-1120	28	10	the	the	DET
cana-1120	28	11	holdings	holding	NOUN
cana-1120	28	12	[	[	X
cana-1120	28	13	1	1	NUM
cana-1120	28	14	]	]	PUNCT
cana-1120	28	15	.	.	PUNCT
cana-1120	29	1	due	due	ADP
cana-1120	29	2	of	of	ADP
cana-1120	29	3	its	its	PRON
cana-1120	29	4	wide	wide	ADJ
cana-1120	29	5	range	range	NOUN
cana-1120	29	6	of	of	ADP
cana-1120	29	7	industrial	industrial	ADJ
cana-1120	29	8	uses	use	NOUN
cana-1120	29	9	,	,	PUNCT
cana-1120	29	10	the	the	DET
cana-1120	29	11	price	price	NOUN
cana-1120	29	12	is	be	AUX
cana-1120	29	13	erratic	erratic	ADJ
cana-1120	29	14	.	.	PUNCT
cana-1120	30	1	right	right	ADV
cana-1120	30	2	now	now	ADV
cana-1120	30	3	,	,	PUNCT
cana-1120	30	4	platinum	platinum	NOUN
cana-1120	30	5	is	be	AUX
cana-1120	30	6	quite	quite	ADV
cana-1120	30	7	alluring	alluring	ADJ
cana-1120	30	8	[	[	X
cana-1120	30	9	2	2	NUM
cana-1120	30	10	]	]	PUNCT
cana-1120	30	11	.	.	PUNCT
cana-1120	31	1	since	since	SCONJ
cana-1120	31	2	that	that	DET
cana-1120	31	3	platinum	platinum	NOUN
cana-1120	31	4	is	be	AUX
cana-1120	31	5	a	a	DET
cana-1120	31	6	commodity	commodity	NOUN
cana-1120	31	7	that	that	PRON
cana-1120	31	8	is	be	AUX
cana-1120	31	9	traded	trade	VERB
cana-1120	31	10	internationally	internationally	ADV
cana-1120	31	11	,	,	PUNCT
cana-1120	31	12	changes	change	NOUN
cana-1120	31	13	in	in	ADP
cana-1120	31	14	the	the	DET
cana-1120	31	15	world	world	NOUN
cana-1120	31	16	market	market	NOUN
cana-1120	31	17	have	have	VERB
cana-1120	31	18	an	an	DET
cana-1120	31	19	impact	impact	NOUN
cana-1120	31	20	on	on	ADP
cana-1120	31	21	the	the	DET
cana-1120	31	22	price	price	NOUN
cana-1120	31	23	of	of	ADP
cana-1120	31	24	platinum	platinum	NOUN
cana-1120	31	25	in	in	ADP
cana-1120	31	26	india	india	PROPN
cana-1120	31	27	.	.	PUNCT
cana-1120	32	1	its	its	PRON
cana-1120	32	2	pricing	pricing	NOUN
cana-1120	32	3	is	be	AUX
cana-1120	32	4	influenced	influence	VERB
cana-1120	32	5	by	by	ADP
cana-1120	32	6	variables	variable	NOUN
cana-1120	32	7	including	include	VERB
cana-1120	32	8	global	global	ADJ
cana-1120	32	9	demand	demand	NOUN
cana-1120	32	10	,	,	PUNCT
cana-1120	32	11	geopolitical	geopolitical	ADJ
cana-1120	32	12	developments	development	NOUN
cana-1120	32	13	,	,	PUNCT
cana-1120	32	14	and	and	CCONJ
cana-1120	32	15	economic	economic	ADJ
cana-1120	32	16	data	datum	NOUN
cana-1120	32	17	.	.	PUNCT
cana-1120	33	1	models	model	NOUN
cana-1120	33	2	called	call	VERB
cana-1120	33	3	autoregressive	autoregressive	ADJ
cana-1120	33	4	integrated	integrated	ADJ
cana-1120	33	5	moving	move	VERB
cana-1120	33	6	averages	average	NOUN
cana-1120	33	7	(	(	PUNCT
cana-1120	33	8	arima	arima	PROPN
cana-1120	33	9	)	)	PUNCT
cana-1120	33	10	are	be	AUX
cana-1120	33	11	an	an	DET
cana-1120	33	12	alternative	alternative	NOUN
cana-1120	33	13	to	to	ADP
cana-1120	33	14	segmented	segment	VERB
cana-1120	33	15	regression	regression	NOUN
cana-1120	33	16	.	.	PUNCT
cana-1120	34	1	in	in	ADP
cana-1120	34	2	contrast	contrast	NOUN
cana-1120	34	3	to	to	ADP
cana-1120	34	4	segmented	segmented	ADJ
cana-1120	34	5	regression	regression	NOUN
cana-1120	34	6	[	[	X
cana-1120	34	7	3	3	NUM
cana-1120	34	8	]	]	PUNCT
cana-1120	34	9	,	,	PUNCT
cana-1120	34	10	arima	arima	PROPN
cana-1120	34	11	models	model	NOUN
cana-1120	34	12	solely	solely	ADV
cana-1120	34	13	regress	regress	ADV
cana-1120	34	14	the	the	DET
cana-1120	34	15	outcome	outcome	NOUN
cana-1120	34	16	measured	measure	VERB
cana-1120	34	17	at	at	ADP
cana-1120	34	18	prior	prior	ADJ
cana-1120	34	19	time	time	NOUN
cana-1120	34	20	points	point	NOUN
cana-1120	34	21	on	on	ADP
cana-1120	34	22	the	the	DET
cana-1120	34	23	outcome	outcome	NOUN
cana-1120	34	24	yt	yt	NOUN
cana-1120	34	25	.	.	PUNCT
cana-1120	35	1	the	the	DET
cana-1120	35	2	lag	lag	NOUN
cana-1120	35	3	and	and	CCONJ
cana-1120	35	4	shift	shift	NOUN
cana-1120	35	5	of	of	ADP
cana-1120	35	6	previous	previous	ADJ
cana-1120	35	7	data	datum	NOUN
cana-1120	35	8	are	be	AUX
cana-1120	35	9	used	use	VERB
cana-1120	35	10	by	by	ADP
cana-1120	35	11	the	the	DET
cana-1120	35	12	autoregressive	autoregressive	ADJ
cana-1120	35	13	integrated	integrated	ADJ
cana-1120	35	14	moving	move	VERB
cana-1120	35	15	average	average	ADJ
cana-1120	35	16	(	(	PUNCT
cana-1120	35	17	arima	arima	PROPN
cana-1120	35	18	)	)	PUNCT
cana-1120	35	19	model	model	NOUN
cana-1120	35	20	to	to	PART
cana-1120	35	21	forecast	forecast	VERB
cana-1120	35	22	future	future	ADJ
cana-1120	35	23	patterns	pattern	NOUN
cana-1120	35	24	[	[	X
cana-1120	35	25	4	4	NUM
cana-1120	35	26	]	]	PUNCT
cana-1120	35	27	.	.	PUNCT
cana-1120	36	1	two	two	NUM
cana-1120	36	2	elements	element	NOUN
cana-1120	36	3	control	control	VERB
cana-1120	36	4	the	the	DET
cana-1120	36	5	arima	arima	PROPN
cana-1120	36	6	model	model	NOUN
cana-1120	36	7	.	.	PUNCT
cana-1120	37	1	the	the	DET
cana-1120	37	2	duration	duration	NOUN
cana-1120	37	3	of	of	ADP
cana-1120	37	4	the	the	DET
cana-1120	37	5	historical	historical	ADJ
cana-1120	37	6	period	period	NOUN
cana-1120	37	7	taken	take	VERB
cana-1120	37	8	into	into	ADP
cana-1120	37	9	consideration	consideration	NOUN
cana-1120	37	10	(	(	PUNCT
cana-1120	37	11	the	the	DET
cana-1120	37	12	weight	weight	NOUN
cana-1120	37	13	's	's	PART
cana-1120	37	14	length	length	NOUN
cana-1120	37	15	)	)	PUNCT
cana-1120	37	16	is	be	AUX
cana-1120	37	17	the	the	DET
cana-1120	37	18	first	first	ADJ
cana-1120	37	19	factor	factor	NOUN
cana-1120	37	20	,	,	PUNCT
cana-1120	37	21	and	and	CCONJ
cana-1120	37	22	the	the	DET
cana-1120	37	23	weight	weight	NOUN
cana-1120	37	24	value	value	NOUN
cana-1120	37	25	's	's	PART
cana-1120	37	26	specification	specification	NOUN
cana-1120	37	27	is	be	AUX
cana-1120	37	28	the	the	DET
cana-1120	37	29	second	second	ADJ
cana-1120	37	30	[	[	X
cana-1120	37	31	5	5	NUM
cana-1120	37	32	]	]	PUNCT
cana-1120	37	33	.	.	PUNCT
cana-1120	38	1	for	for	ADP
cana-1120	38	2	maximum	maximum	ADJ
cana-1120	38	3	precision	precision	NOUN
cana-1120	38	4	and	and	CCONJ
cana-1120	38	5	detail	detail	NOUN
cana-1120	38	6	,	,	PUNCT
cana-1120	38	7	the	the	DET
cana-1120	38	8	arima	arima	NOUN
cana-1120	38	9	model	model	NOUN
cana-1120	38	10	is	be	AUX
cana-1120	38	11	represented	represent	VERB
cana-1120	38	12	as	as	ADP
cana-1120	38	13	a	a	DET
cana-1120	38	14	regression	regression	NOUN
cana-1120	38	15	model	model	NOUN
cana-1120	38	16	with	with	ADP
cana-1120	38	17	a	a	DET
cana-1120	38	18	moving	move	VERB
cana-1120	38	19	average	average	ADJ
cana-1120	38	20	.	.	PUNCT
cana-1120	39	1	local	local	ADJ
cana-1120	39	2	elements	element	NOUN
cana-1120	39	3	that	that	PRON
cana-1120	39	4	affect	affect	VERB
cana-1120	39	5	the	the	DET
cana-1120	39	6	price	price	NOUN
cana-1120	39	7	of	of	ADP
cana-1120	39	8	platinum	platinum	NOUN
cana-1120	39	9	in	in	ADP
cana-1120	39	10	the	the	DET
cana-1120	39	11	indian	indian	ADJ
cana-1120	39	12	market	market	NOUN
cana-1120	39	13	include	include	VERB
cana-1120	39	14	taxes	taxis	NOUN
cana-1120	39	15	,	,	PUNCT
cana-1120	39	16	import	import	NOUN
cana-1120	39	17	levies	levy	NOUN
cana-1120	39	18	,	,	PUNCT
cana-1120	39	19	and	and	CCONJ
cana-1120	39	20	currency	currency	NOUN
cana-1120	39	21	exchange	exchange	NOUN
cana-1120	39	22	rates	rate	NOUN
cana-1120	39	23	.	.	PUNCT
cana-1120	40	1	consumers	consumer	NOUN
cana-1120	40	2	and	and	CCONJ
cana-1120	40	3	investors	investor	NOUN
cana-1120	40	4	follow	follow	VERB
cana-1120	40	5	these	these	DET
cana-1120	40	6	factors	factor	NOUN
cana-1120	40	7	to	to	PART
cana-1120	40	8	learn	learn	VERB
cana-1120	40	9	more	more	ADJ
cana-1120	40	10	about	about	ADP
cana-1120	40	11	the	the	DET
cana-1120	40	12	present	present	ADJ
cana-1120	40	13	and	and	CCONJ
cana-1120	40	14	prospective	prospective	ADJ
cana-1120	40	15	future	future	ADJ
cana-1120	40	16	values	value	NOUN
cana-1120	40	17	of	of	ADP
cana-1120	40	18	platinum	platinum	NOUN
cana-1120	40	19	in	in	ADP
cana-1120	40	20	india	india	PROPN
cana-1120	41	1	[	[	X
cana-1120	41	2	6	6	NUM
cana-1120	41	3	]	]	PUNCT
cana-1120	41	4	.	.	PUNCT
cana-1120	42	1	in	in	ADP
cana-1120	42	2	this	this	DET
cana-1120	42	3	study	study	NOUN
cana-1120	42	4	,	,	PUNCT
cana-1120	42	5	we	we	PRON
cana-1120	42	6	explore	explore	VERB
cana-1120	42	7	the	the	DET
cana-1120	42	8	evolving	evolve	VERB
cana-1120	42	9	domain	domain	NOUN
cana-1120	42	10	of	of	ADP
cana-1120	42	11	platinum	platinum	NOUN
cana-1120	42	12	price	price	NOUN
cana-1120	42	13	prediction	prediction	NOUN
cana-1120	42	14	using	use	VERB
cana-1120	42	15	a	a	DET
cana-1120	42	16	holistic	holistic	ADJ
cana-1120	42	17	method	method	NOUN
cana-1120	42	18	that	that	PRON
cana-1120	42	19	combines	combine	VERB
cana-1120	42	20	modern	modern	ADJ
cana-1120	42	21	machine	machine	NOUN
cana-1120	42	22	learning	learn	VERB
cana-1120	42	23	techniques	technique	NOUN
cana-1120	42	24	with	with	ADP
cana-1120	42	25	conventional	conventional	ADJ
cana-1120	42	26	time	time	NOUN
cana-1120	42	27	series	series	NOUN
cana-1120	42	28	analysis	analysis	NOUN
cana-1120	42	29	.	.	PUNCT
cana-1120	43	1	the	the	DET
cana-1120	43	2	goal	goal	NOUN
cana-1120	43	3	of	of	ADP
cana-1120	43	4	the	the	DET
cana-1120	43	5	research	research	NOUN
cana-1120	43	6	is	be	AUX
cana-1120	43	7	to	to	PART
cana-1120	43	8	improve	improve	VERB
cana-1120	43	9	the	the	DET
cana-1120	43	10	precision	precision	NOUN
cana-1120	43	11	of	of	ADP
cana-1120	43	12	platinum	platinum	NOUN
cana-1120	43	13	price	price	NOUN
cana-1120	43	14	projections	projection	NOUN
cana-1120	43	15	by	by	ADP
cana-1120	43	16	leveraging	leverage	VERB
cana-1120	43	17	arima	arima	NOUN
cana-1120	43	18	(	(	PUNCT
cana-1120	43	19	auto	auto	NOUN
cana-1120	43	20	regressive	regressive	ADJ
cana-1120	43	21	integrated	integrated	ADJ
cana-1120	43	22	moving	move	VERB
cana-1120	43	23	average	average	NOUN
cana-1120	43	24	)	)	PUNCT
cana-1120	43	25	,	,	PUNCT
cana-1120	43	26	anns	ann	NOUN
cana-1120	43	27	,	,	PUNCT
cana-1120	43	28	and	and	CCONJ
cana-1120	43	29	hybrid	hybrid	NOUN
cana-1120	43	30	models	model	NOUN
cana-1120	43	31	[	[	X
cana-1120	43	32	7	7	NUM
cana-1120	43	33	]	]	PUNCT
cana-1120	43	34	.	.	PUNCT
cana-1120	44	1	the	the	DET
cana-1120	44	2	intrinsic	intrinsic	ADJ
cana-1120	44	3	fluctuations	fluctuation	NOUN
cana-1120	44	4	in	in	ADP
cana-1120	44	5	platinum	platinum	NOUN
cana-1120	44	6	price	price	NOUN
cana-1120	44	7	data	datum	NOUN
cana-1120	44	8	are	be	AUX
cana-1120	44	9	captured	capture	VERB
cana-1120	44	10	and	and	CCONJ
cana-1120	44	11	modeled	model	VERB
cana-1120	44	12	using	use	VERB
cana-1120	44	13	arima	arima	NOUN
cana-1120	44	14	,	,	PUNCT
cana-1120	44	15	a	a	DET
cana-1120	44	16	classical	classical	ADJ
cana-1120	44	17	time	time	NOUN
cana-1120	44	18	series	series	PROPN
cana-1120	44	19	model	model	PROPN
cana-1120	44	20	.	.	PUNCT
cana-1120	45	1	in	in	ADP
cana-1120	45	2	addition	addition	NOUN
cana-1120	45	3	,	,	PUNCT
cana-1120	45	4	we	we	PRON
cana-1120	45	5	make	make	VERB
cana-1120	45	6	use	use	NOUN
cana-1120	45	7	of	of	ADP
cana-1120	45	8	artificial	artificial	ADJ
cana-1120	45	9	neural	neural	ADJ
cana-1120	45	10	networks	network	NOUN
cana-1120	45	11	(	(	PUNCT
cana-1120	45	12	ann	ann	PROPN
cana-1120	45	13	)	)	PUNCT
cana-1120	45	14	,	,	PUNCT
cana-1120	45	15	a	a	DET
cana-1120	45	16	potent	potent	ADJ
cana-1120	45	17	machine	machine	NOUN
cana-1120	45	18	learning	learning	NOUN
cana-1120	45	19	technique	technique	NOUN
cana-1120	45	20	that	that	PRON
cana-1120	45	21	draws	draw	VERB
cana-1120	45	22	inspiration	inspiration	NOUN
cana-1120	45	23	from	from	ADP
cana-1120	45	24	the	the	DET
cana-1120	45	25	functioning	functioning	NOUN
cana-1120	45	26	of	of	ADP
cana-1120	45	27	the	the	DET
cana-1120	45	28	human	human	ADJ
cana-1120	45	29	brain	brain	NOUN
cana-1120	46	1	[	[	X
cana-1120	46	2	8	8	NUM
cana-1120	46	3	]	]	PUNCT
cana-1120	46	4	.	.	PUNCT
cana-1120	47	1	ann	ann	PROPN
cana-1120	47	2	enhances	enhance	VERB
cana-1120	47	3	our	our	PRON
cana-1120	47	4	prediction	prediction	NOUN
cana-1120	47	5	process	process	NOUN
cana-1120	47	6	by	by	ADP
cana-1120	47	7	being	be	AUX
cana-1120	47	8	exceptionally	exceptionally	ADV
cana-1120	47	9	good	good	ADJ
cana-1120	47	10	at	at	ADP
cana-1120	47	11	identifying	identify	VERB
cana-1120	47	12	intricate	intricate	ADJ
cana-1120	47	13	patterns	pattern	NOUN
cana-1120	47	14	and	and	CCONJ
cana-1120	47	15	nonlinear	nonlinear	ADJ
cana-1120	47	16	correlations	correlation	NOUN
cana-1120	47	17	in	in	ADP
cana-1120	47	18	datasets	dataset	NOUN
cana-1120	47	19	[	[	X
cana-1120	47	20	9	9	NUM
cana-1120	47	21	]	]	PUNCT
cana-1120	47	22	.	.	PUNCT
cana-1120	48	1	we	we	PRON
cana-1120	48	2	propose	propose	VERB
cana-1120	48	3	a	a	DET
cana-1120	48	4	hybrid	hybrid	ADJ
cana-1120	48	5	approach	approach	NOUN
cana-1120	48	6	that	that	PRON
cana-1120	48	7	effectively	effectively	ADV
cana-1120	48	8	leverages	leverage	VERB
cana-1120	48	9	the	the	DET
cana-1120	48	10	capabilities	capability	NOUN
cana-1120	48	11	of	of	ADP
cana-1120	48	12	ann	ann	PROPN
cana-1120	48	13	and	and	CCONJ
cana-1120	48	14	arima	arima	PROPN
cana-1120	48	15	to	to	PART
cana-1120	48	16	maximize	maximize	VERB
cana-1120	48	17	the	the	DET
cana-1120	48	18	prediction	prediction	NOUN
cana-1120	48	19	power	power	NOUN
cana-1120	48	20	of	of	ADP
cana-1120	48	21	our	our	PRON
cana-1120	48	22	models	model	NOUN
cana-1120	48	23	.	.	PUNCT
cana-1120	49	1	in	in	ADP
cana-1120	49	2	order	order	NOUN
cana-1120	49	3	to	to	PART
cana-1120	49	4	increase	increase	VERB
cana-1120	49	5	overall	overall	ADJ
cana-1120	49	6	forecasting	forecasting	NOUN
cana-1120	49	7	accuracy	accuracy	NOUN
cana-1120	49	8	,	,	PUNCT
cana-1120	49	9	this	this	DET
cana-1120	49	10	fusion	fusion	NOUN
cana-1120	49	11	seeks	seek	VERB
cana-1120	49	12	to	to	PART
cana-1120	49	13	use	use	VERB
cana-1120	49	14	the	the	DET
cana-1120	49	15	complementary	complementary	ADJ
cana-1120	49	16	nature	nature	NOUN
cana-1120	49	17	of	of	ADP
cana-1120	49	18	these	these	DET
cana-1120	49	19	models	model	NOUN
cana-1120	49	20	.	.	PUNCT
cana-1120	50	1	2	2	X
cana-1120	50	2	.	.	X
cana-1120	50	3	objectives	objective	VERB
cana-1120	50	4	the	the	DET
cana-1120	50	5	study	study	NOUN
cana-1120	50	6	aims	aim	VERB
cana-1120	50	7	to	to	PART
cana-1120	50	8	increase	increase	VERB
cana-1120	50	9	the	the	DET
cana-1120	50	10	accuracy	accuracy	NOUN
cana-1120	50	11	of	of	ADP
cana-1120	50	12	platinum	platinum	NOUN
cana-1120	50	13	price	price	NOUN
cana-1120	50	14	forecasts	forecast	NOUN
cana-1120	50	15	through	through	ADP
cana-1120	50	16	the	the	DET
cana-1120	50	17	use	use	NOUN
cana-1120	50	18	of	of	ADP
cana-1120	50	19	hybrid	hybrid	ADJ
cana-1120	50	20	models	model	NOUN
cana-1120	50	21	,	,	PUNCT
cana-1120	50	22	anns	ann	NOUN
cana-1120	50	23	,	,	PUNCT
cana-1120	50	24	and	and	CCONJ
cana-1120	50	25	arima	arima	PROPN
cana-1120	50	26	(	(	PUNCT
cana-1120	50	27	auto	auto	NOUN
cana-1120	50	28	regressive	regressive	ADJ
cana-1120	50	29	integrated	integrated	ADJ
cana-1120	50	30	moving	move	VERB
cana-1120	50	31	average	average	ADJ
cana-1120	50	32	)	)	PUNCT
cana-1120	50	33	techniques	technique	NOUN
cana-1120	50	34	.	.	PUNCT
cana-1120	51	1	arima	arima	PROPN
cana-1120	51	2	is	be	AUX
cana-1120	51	3	a	a	DET
cana-1120	51	4	traditional	traditional	ADJ
cana-1120	51	5	time	time	NOUN
cana-1120	51	6	series	series	NOUN
cana-1120	51	7	model	model	NOUN
cana-1120	51	8	that	that	PRON
cana-1120	51	9	is	be	AUX
cana-1120	51	10	used	use	VERB
cana-1120	51	11	to	to	PART
cana-1120	51	12	capture	capture	VERB
cana-1120	51	13	and	and	CCONJ
cana-1120	51	14	model	model	VERB
cana-1120	51	15	the	the	DET
cana-1120	51	16	intrinsic	intrinsic	ADJ
cana-1120	51	17	oscillations	oscillation	NOUN
cana-1120	51	18	in	in	ADP
cana-1120	51	19	platinum	platinum	NOUN
cana-1120	51	20	price	price	NOUN
cana-1120	51	21	data	datum	NOUN
cana-1120	51	22	.	.	PUNCT
cana-1120	52	1	3	3	X
cana-1120	52	2	.	.	X
cana-1120	52	3	methodology	methodology	NOUN
cana-1120	52	4	3.1	3.1	NUM
cana-1120	52	5	autoregressive	autoregressive	ADJ
cana-1120	52	6	integrated	integrated	ADJ
cana-1120	52	7	moving	move	VERB
cana-1120	52	8	average	average	ADJ
cana-1120	52	9	model	model	NOUN
cana-1120	52	10	:	:	PUNCT
cana-1120	52	11	let	let	AUX
cana-1120	52	12	{	{	PUNCT
cana-1120	52	13	zt	zt	PART
cana-1120	52	14	}	}	PUNCT
cana-1120	52	15	be	be	AUX
cana-1120	52	16	a	a	DET
cana-1120	52	17	steady	steady	ADJ
cana-1120	52	18	-	-	PUNCT
cana-1120	52	19	state	state	NOUN
cana-1120	52	20	non	non	ADJ
cana-1120	52	21	-	-	ADJ
cana-1120	52	22	fixed	fix	VERB
cana-1120	52	23	temporal	temporal	ADJ
cana-1120	52	24	arrangement	arrangement	NOUN
cana-1120	52	25	.	.	PUNCT
cana-1120	53	1	let	let	VERB
cana-1120	53	2	w͠t	w͠t	ADJ
cana-1120	53	3	=	=	SYM
cana-1120	53	4	d	d	X
cana-1120	53	5	z͠t	z͠t	NUM
cana-1120	53	6	where	where	SCONJ
cana-1120	53	7	1	1	NUM
cana-1120	53	8	-	-	SYM
cana-1120	53	9	b	b	NOUN
cana-1120	53	10	where	where	SCONJ
cana-1120	53	11	d	d	NOUN
cana-1120	53	12	is	be	AUX
cana-1120	53	13	chosen	choose	VERB
cana-1120	53	14	so	so	SCONJ
cana-1120	53	15	that	that	SCONJ
cana-1120	53	16	the	the	DET
cana-1120	53	17	mean	mean	NOUN
cana-1120	53	18	of	of	ADP
cana-1120	53	19	wt	wt	NOUN
cana-1120	53	20	is	be	AUX
cana-1120	53	21	stabilized	stabilize	VERB
cana-1120	53	22	,	,	PUNCT
cana-1120	53	23	then	then	ADV
cana-1120	53	24	{	{	PUNCT
cana-1120	53	25	wt	wt	NOUN
cana-1120	53	26	}	}	PUNCT
cana-1120	53	27	will	will	AUX
cana-1120	53	28	be	be	AUX
cana-1120	53	29	a	a	DET
cana-1120	53	30	fixed	fix	VERB
cana-1120	53	31	time	time	NOUN
cana-1120	53	32	arrangement	arrangement	NOUN
cana-1120	53	33	.	.	PUNCT
cana-1120	54	1	typically	typically	ADV
cana-1120	54	2	,	,	PUNCT
cana-1120	54	3	communications	communication	NOUN
cana-1120	54	4	on	on	ADP
cana-1120	54	5	applied	apply	VERB
cana-1120	54	6	nonlinear	nonlinear	ADJ
cana-1120	54	7	analysis	analysis	NOUN
cana-1120	54	8	issn	issn	NOUN
cana-1120	54	9	:	:	PUNCT
cana-1120	54	10	1074	1074	NUM
cana-1120	54	11	-	-	PUNCT
cana-1120	54	12	133x	133x	NUM
cana-1120	54	13	vol	vol	NOUN
cana-1120	54	14	31	31	NUM
cana-1120	54	15	no	no	NOUN
cana-1120	54	16	.	.	PUNCT
cana-1120	55	1	6s	6s	NUM
cana-1120	55	2	(	(	PUNCT
cana-1120	55	3	2024	2024	NUM
cana-1120	55	4	)	)	PUNCT
cana-1120	55	5	63	63	NUM
cana-1120	55	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	55	7	in	in	ADP
cana-1120	55	8	practice	practice	NOUN
cana-1120	55	9	,	,	PUNCT
cana-1120	55	10	d	d	PRON
cana-1120	55	11	is	be	AUX
cana-1120	55	12	either	either	PRON
cana-1120	55	13	0	0	NUM
cana-1120	55	14	or	or	CCONJ
cana-1120	55	15	1	1	NUM
cana-1120	55	16	,	,	PUNCT
cana-1120	55	17	or	or	CCONJ
cana-1120	55	18	at	at	ADP
cana-1120	55	19	most	most	ADJ
cana-1120	55	20	2	2	NUM
cana-1120	55	21	.	.	X
cana-1120	56	1	for	for	ADP
cana-1120	56	2	a	a	DET
cana-1120	56	3	stationary	stationary	ADJ
cana-1120	56	4	series	series	NOUN
cana-1120	56	5	{	{	PUNCT
cana-1120	56	6	wt	wt	PROPN
cana-1120	56	7	}	}	PUNCT
cana-1120	56	8	,	,	PUNCT
cana-1120	56	9	the	the	DET
cana-1120	56	10	arima	arima	PROPN
cana-1120	56	11	model	model	NOUN
cana-1120	56	12	is	be	AUX
cana-1120	56	13	ɸ	ɸ	PRON
cana-1120	56	14	(	(	PUNCT
cana-1120	56	15	b	b	NOUN
cana-1120	56	16	)	)	PUNCT
cana-1120	56	17	w͠t	w͠t	NOUN
cana-1120	56	18	=	=	SYM
cana-1120	56	19	θ	θ	PROPN
cana-1120	56	20	(	(	PUNCT
cana-1120	56	21	b	b	NOUN
cana-1120	56	22	)	)	PUNCT
cana-1120	56	23	at	at	ADP
cana-1120	56	24	or	or	CCONJ
cana-1120	56	25	alternatively	alternatively	ADV
cana-1120	56	26	g(b	g(b	ADJ
cana-1120	56	27	)	)	PUNCT
cana-1120	56	28	=	=	SYM
cana-1120	56	29	ɸ(b	ɸ(b	PROPN
cana-1120	56	30	)	)	PUNCT
cana-1120	57	1	d	d	NOUN
cana-1120	57	2	.	.	PUNCT
cana-1120	58	1	given	give	VERB
cana-1120	58	2	that	that	PRON
cana-1120	58	3	d	d	SYM
cana-1120	58	4	z͠t	z͠t	NUM
cana-1120	58	5	=	=	SYM
cana-1120	58	6	d	d	X
cana-1120	58	7	zt	zt	PROPN
cana-1120	58	8	,	,	PUNCT
cana-1120	58	9	this	this	DET
cana-1120	58	10	model	model	NOUN
cana-1120	58	11	can	can	AUX
cana-1120	58	12	be	be	AUX
cana-1120	58	13	expressed	express	VERB
cana-1120	58	14	as	as	ADP
cana-1120	58	15	g(b	g(b	PROPN
cana-1120	58	16	)	)	PUNCT
cana-1120	58	17	zt	zt	PROPN
cana-1120	58	18	=	=	SYM
cana-1120	58	19	θ(b	θ(b	NOUN
cana-1120	58	20	)	)	PUNCT
cana-1120	58	21	at	at	ADP
cana-1120	58	22	…	…	PUNCT
cana-1120	58	23	…	…	SYM
cana-1120	58	24	……	……	NOUN
cana-1120	58	25	.	.	PUNCT
cana-1120	58	26	2.1	2.1	NUM
cana-1120	58	27	figure	figure	NOUN
cana-1120	58	28	3.1.1	3.1.1	NUM
cana-1120	58	29	.	.	PUNCT
cana-1120	59	1	arima	arima	PROPN
cana-1120	59	2	flow	flow	PROPN
cana-1120	59	3	chart	chart	NOUN
cana-1120	59	4	the	the	DET
cana-1120	59	5	model	model	NOUN
cana-1120	59	6	in	in	ADP
cana-1120	59	7	condition	condition	NOUN
cana-1120	59	8	3.1	3.1	NUM
cana-1120	59	9	,	,	PUNCT
cana-1120	59	10	also	also	ADV
cana-1120	59	11	referred	refer	VERB
cana-1120	59	12	to	to	ADP
cana-1120	59	13	as	as	ADP
cana-1120	59	14	arima	arima	PROPN
cana-1120	59	15	(	(	PUNCT
cana-1120	59	16	p	p	X
cana-1120	59	17	,	,	PUNCT
cana-1120	59	18	d	d	NOUN
cana-1120	59	19	,	,	PUNCT
cana-1120	59	20	q	q	NOUN
cana-1120	59	21	)	)	PUNCT
cana-1120	59	22	,	,	PUNCT
cana-1120	59	23	is	be	AUX
cana-1120	59	24	a	a	DET
cana-1120	59	25	non	non	ADJ
cana-1120	59	26	-	-	ADJ
cana-1120	59	27	stationary	stationary	ADJ
cana-1120	59	28	model	model	NOUN
cana-1120	59	29	in	in	ADP
cana-1120	59	30	zt	zt	PROPN
cana-1120	59	31	and	and	CCONJ
cana-1120	59	32	is	be	AUX
cana-1120	59	33	an	an	DET
cana-1120	59	34	autoregressive	autoregressive	ADJ
cana-1120	59	35	integrated	integrated	ADJ
cana-1120	59	36	moving	move	VERB
cana-1120	59	37	average	average	ADJ
cana-1120	59	38	model	model	NOUN
cana-1120	59	39	of	of	ADP
cana-1120	59	40	order	order	NOUN
cana-1120	59	41	(	(	PUNCT
cana-1120	59	42	p	p	X
cana-1120	59	43	,	,	PUNCT
cana-1120	59	44	d	d	NOUN
cana-1120	59	45	,	,	PUNCT
cana-1120	59	46	q	q	NOUN
cana-1120	59	47	)	)	PUNCT
cana-1120	59	48	.	.	PUNCT
cana-1120	60	1	one	one	NUM
cana-1120	60	2	way	way	NOUN
cana-1120	60	3	to	to	PART
cana-1120	60	4	produce	produce	VERB
cana-1120	60	5	the	the	DET
cana-1120	60	6	generic	generic	ADJ
cana-1120	60	7	arima	arima	NOUN
cana-1120	60	8	process	process	NOUN
cana-1120	60	9	is	be	AUX
cana-1120	60	10	to	to	PART
cana-1120	60	11	integrate	integrate	VERB
cana-1120	60	12	or	or	CCONJ
cana-1120	60	13	sum	sum	VERB
cana-1120	60	14	the	the	DET
cana-1120	60	15	stationary	stationary	ADJ
cana-1120	60	16	arima	arima	NOUN
cana-1120	60	17	process	process	NOUN
cana-1120	60	18	wt	wt	PROPN
cana-1120	60	19	,	,	PUNCT
cana-1120	60	20	d	d	PROPN
cana-1120	60	21	times	time	NOUN
cana-1120	60	22	.	.	PUNCT
cana-1120	61	1	here	here	ADV
cana-1120	61	2	φ	φ	PROPN
cana-1120	61	3	(	(	PUNCT
cana-1120	61	4	𝐵	𝐵	NOUN
cana-1120	61	5	)	)	PUNCT
cana-1120	61	6	=	=	SYM
cana-1120	61	7	1	1	NUM
cana-1120	61	8	–	–	PUNCT
cana-1120	61	9	φ1𝐵	φ1𝐵	X
cana-1120	61	10	–	–	PUNCT
cana-1120	61	11	φ2𝐵2	φ2𝐵2	PUNCT
cana-1120	61	12	−	−	PROPN
cana-1120	61	13	−	−	NUM
cana-1120	61	14	−	−	NOUN
cana-1120	61	15	−	−	PROPN
cana-1120	61	16	−	−	PROPN
cana-1120	61	17	φp𝐵p	φp𝐵p	PROPN
cana-1120	61	18	is	be	AUX
cana-1120	61	19	an	an	DET
cana-1120	61	20	ar	ar	NOUN
cana-1120	61	21	operator	operator	NOUN
cana-1120	61	22	in	in	ADP
cana-1120	61	23	this	this	DET
cana-1120	61	24	model	model	NOUN
cana-1120	61	25	,	,	PUNCT
cana-1120	61	26	which	which	PRON
cana-1120	61	27	is	be	AUX
cana-1120	61	28	a	a	DET
cana-1120	61	29	polynomial	polynomial	NOUN
cana-1120	61	30	in	in	ADP
cana-1120	61	31	b	b	NOUN
cana-1120	61	32	of	of	ADP
cana-1120	61	33	order	order	NOUN
cana-1120	62	1	p.	p.	NOUN
cana-1120	62	2	the	the	DET
cana-1120	62	3	ma	ma	PROPN
cana-1120	62	4	operator	operator	NOUN
cana-1120	62	5	,	,	PUNCT
cana-1120	62	6	q	q	PROPN
cana-1120	62	7	θ(𝐵	θ(𝐵	PROPN
cana-1120	62	8	)	)	PUNCT
cana-1120	62	9	=	=	SYM
cana-1120	62	10	1	1	NUM
cana-1120	62	11	–	–	PUNCT
cana-1120	62	12	φ1𝐵	φ1𝐵	X
cana-1120	62	13	–	–	PUNCT
cana-1120	62	14	φ2𝐵2	φ2𝐵2	PUNCT
cana-1120	62	15	−	−	PROPN
cana-1120	62	16	−	−	NUM
cana-1120	62	17	−	−	NOUN
cana-1120	62	18	−	−	NOUN
cana-1120	63	1	−	−	PROPN
cana-1120	63	2	φq𝐵q	φq𝐵q	NOUN
cana-1120	63	3	is	be	AUX
cana-1120	63	4	a	a	DET
cana-1120	63	5	polynomial	polynomial	NOUN
cana-1120	63	6	of	of	ADP
cana-1120	63	7	degree	degree	NOUN
cana-1120	63	8	q	q	PUNCT
cana-1120	63	9	in	in	ADP
cana-1120	63	10	b.	b.	PROPN
cana-1120	64	1	the	the	DET
cana-1120	64	2	polynomial	polynomial	NOUN
cana-1120	64	3	in	in	ADP
cana-1120	64	4	b	b	NOUN
cana-1120	64	5	with	with	ADP
cana-1120	64	6	order	order	NOUN
cana-1120	64	7	in	in	ADP
cana-1120	64	8	(	(	PUNCT
cana-1120	64	9	p+q	p+q	ADV
cana-1120	64	10	)	)	PUNCT
cana-1120	64	11	,	,	PUNCT
cana-1120	64	12	g	g	PROPN
cana-1120	64	13	(	(	PUNCT
cana-1120	64	14	b	b	NOUN
cana-1120	64	15	)	)	PUNCT
cana-1120	64	16	=	=	SYM
cana-1120	64	17	ɸ	ɸ	PROPN
cana-1120	64	18	(	(	PUNCT
cana-1120	64	19	b	b	NOUN
cana-1120	64	20	)	)	PUNCT
cana-1120	64	21	d	d	NOUN
cana-1120	64	22	is	be	AUX
cana-1120	64	23	referred	refer	VERB
cana-1120	64	24	to	to	ADP
cana-1120	64	25	as	as	ADP
cana-1120	64	26	a	a	DET
cana-1120	64	27	non	non	ADJ
cana-1120	64	28	-	-	ADJ
cana-1120	64	29	stationary	stationary	ADJ
cana-1120	64	30	operator	operator	NOUN
cana-1120	64	31	.	.	PUNCT
cana-1120	65	1	2.2	2.2	NUM
cana-1120	65	2	feed	feed	NOUN
cana-1120	65	3	forward	forward	ADV
cana-1120	65	4	neural	neural	ADJ
cana-1120	65	5	networks	network	NOUN
cana-1120	65	6	the	the	PRON
cana-1120	65	7	most	most	ADV
cana-1120	65	8	often	often	ADV
cana-1120	65	9	used	use	VERB
cana-1120	65	10	neural	neural	ADJ
cana-1120	65	11	network	network	NOUN
cana-1120	65	12	model	model	NOUN
cana-1120	65	13	for	for	ADP
cana-1120	65	14	time	time	NOUN
cana-1120	65	15	arrangement	arrangement	NOUN
cana-1120	65	16	forecasting	forecasting	NOUN
cana-1120	65	17	applications	application	NOUN
cana-1120	65	18	is	be	AUX
cana-1120	65	19	feed	feed	VERB
cana-1120	65	20	forward	forward	ADV
cana-1120	65	21	neural	neural	ADJ
cana-1120	65	22	networks	network	NOUN
cana-1120	65	23	(	(	PUNCT
cana-1120	65	24	ffnn	ffnn	NOUN
cana-1120	65	25	)	)	PUNCT
cana-1120	65	26	.	.	PUNCT
cana-1120	66	1	the	the	DET
cana-1120	66	2	output	output	NOUN
cana-1120	66	3	gives	give	VERB
cana-1120	66	4	a	a	DET
cana-1120	66	5	forecast	forecast	NOUN
cana-1120	66	6	for	for	ADP
cana-1120	66	7	the	the	DET
cana-1120	66	8	future	future	ADJ
cana-1120	66	9	values	value	NOUN
cana-1120	66	10	,	,	PUNCT
cana-1120	66	11	while	while	SCONJ
cana-1120	66	12	the	the	DET
cana-1120	66	13	input	input	NOUN
cana-1120	66	14	nodes	node	NOUN
cana-1120	66	15	represent	represent	VERB
cana-1120	66	16	the	the	DET
cana-1120	66	17	prior	prior	ADJ
cana-1120	66	18	lagged	lag	VERB
cana-1120	66	19	data	datum	NOUN
cana-1120	66	20	.	.	PUNCT
cana-1120	67	1	the	the	DET
cana-1120	67	2	data	datum	NOUN
cana-1120	67	3	that	that	PRON
cana-1120	67	4	the	the	DET
cana-1120	67	5	input	input	NOUN
cana-1120	67	6	nodes	node	NOUN
cana-1120	67	7	receive	receive	VERB
cana-1120	67	8	is	be	AUX
cana-1120	67	9	processed	process	VERB
cana-1120	67	10	by	by	ADP
cana-1120	67	11	hidden	hide	VERB
cana-1120	67	12	nodes	node	NOUN
cana-1120	67	13	that	that	PRON
cana-1120	67	14	have	have	VERB
cana-1120	67	15	the	the	DET
cana-1120	67	16	proper	proper	ADJ
cana-1120	67	17	nonlinear	nonlinear	ADJ
cana-1120	67	18	transfer	transfer	NOUN
cana-1120	67	19	functions	function	NOUN
cana-1120	67	20	.	.	PUNCT
cana-1120	68	1	the	the	DET
cana-1120	68	2	ffnn	ffnn	NOUN
cana-1120	68	3	model	model	NOUN
cana-1120	68	4	may	may	AUX
cana-1120	68	5	be	be	AUX
cana-1120	68	6	expressed	express	VERB
cana-1120	68	7	as	as	ADP
cana-1120	68	8	follow	follow	NOUN
cana-1120	68	9	zt	zt	PROPN
cana-1120	68	10	=	=	SYM
cana-1120	68	11	βo+	βo+	PROPN
cana-1120	68	12	ƒ	ƒ	PRON
cana-1120	68	13	where	where	SCONJ
cana-1120	68	14	f	f	PROPN
cana-1120	68	15	is	be	AUX
cana-1120	68	16	a	a	DET
cana-1120	68	17	hyperbolic	hyperbolic	ADJ
cana-1120	68	18	tangent	tangent	NOUN
cana-1120	68	19	function	function	NOUN
cana-1120	68	20	,	,	PUNCT
cana-1120	68	21	p	p	NOUN
cana-1120	68	22	is	be	AUX
cana-1120	68	23	the	the	DET
cana-1120	68	24	number	number	NOUN
cana-1120	68	25	of	of	ADP
cana-1120	68	26	information	information	NOUN
cana-1120	68	27	hubs	hub	NOUN
cana-1120	68	28	,	,	PUNCT
cana-1120	68	29	and	and	CCONJ
cana-1120	68	30	q	q	NOUN
cana-1120	68	31	is	be	AUX
cana-1120	68	32	the	the	DET
cana-1120	68	33	number	number	NOUN
cana-1120	68	34	of	of	ADP
cana-1120	68	35	veiled	veiled	ADJ
cana-1120	68	36	hubs	hub	NOUN
cana-1120	68	37	.	.	PUNCT
cana-1120	69	1	a	a	DET
cana-1120	69	2	vector	vector	NOUN
cana-1120	69	3	of	of	ADP
cana-1120	69	4	weights	weight	NOUN
cana-1120	69	5	from	from	ADP
cana-1120	69	6	the	the	DET
cana-1120	69	7	hidden	hide	VERB
cana-1120	69	8	to	to	ADP
cana-1120	69	9	output	output	NOUN
cana-1120	69	10	nodes	node	NOUN
cana-1120	69	11	is	be	AUX
cana-1120	69	12	represented	represent	VERB
cana-1120	69	13	by	by	ADP
cana-1120	69	14	{	{	PUNCT
cana-1120	69	15	βj	βj	PRON
cana-1120	69	16	,	,	PUNCT
cana-1120	69	17	j=0,1,	j=0,1,	ADJ
cana-1120	69	18	…	…	SYM
cana-1120	69	19	q	q	ADJ
cana-1120	69	20	}	}	PUNCT
cana-1120	69	21	and	and	CCONJ
cana-1120	69	22	weights	weight	NOUN
cana-1120	69	23	from	from	ADP
cana-1120	69	24	the	the	DET
cana-1120	69	25	input	input	NOUN
cana-1120	69	26	to	to	ADP
cana-1120	69	27	hidden	hide	VERB
cana-1120	69	28	nodes	node	NOUN
cana-1120	69	29	are	be	AUX
cana-1120	69	30	represented	represent	VERB
cana-1120	69	31	by	by	ADP
cana-1120	69	32	{	{	PUNCT
cana-1120	69	33	ϒij	ϒij	PROPN
cana-1120	69	34	i=0,1,2,	i=0,1,2,	NOUN
cana-1120	69	35	…	…	PUNCT
cana-1120	69	36	.p	.p	NOUN
cana-1120	69	37	;	;	PUNCT
cana-1120	69	38	j=1,2,	j=1,2,	NOUN
cana-1120	69	39	…	…	SYM
cana-1120	69	40	q	q	NOUN
cana-1120	69	41	}	}	PUNCT
cana-1120	69	42	.	.	PUNCT
cana-1120	70	1	communications	communication	NOUN
cana-1120	70	2	on	on	ADP
cana-1120	70	3	applied	apply	VERB
cana-1120	70	4	nonlinear	nonlinear	ADJ
cana-1120	70	5	analysis	analysis	NOUN
cana-1120	70	6	issn	issn	NOUN
cana-1120	70	7	:	:	PUNCT
cana-1120	70	8	1074	1074	NUM
cana-1120	70	9	-	-	PUNCT
cana-1120	70	10	133x	133x	NUM
cana-1120	70	11	vol	vol	NOUN
cana-1120	70	12	31	31	NUM
cana-1120	70	13	no	no	NOUN
cana-1120	70	14	.	.	PUNCT
cana-1120	71	1	6s	6s	NUM
cana-1120	71	2	(	(	PUNCT
cana-1120	71	3	2024	2024	NUM
cana-1120	71	4	)	)	PUNCT
cana-1120	72	1	64	64	NUM
cana-1120	72	2	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1120	72	3	figure	figure	NOUN
cana-1120	72	4	-3.2.1	-3.2.1	NOUN
cana-1120	72	5	.	.	PUNCT
cana-1120	73	1	a	a	DET
cana-1120	73	2	general	general	ADJ
cana-1120	73	3	neural	neural	ADJ
cana-1120	73	4	network	network	NOUN
cana-1120	73	5	diagram	diagram	NOUN
cana-1120	73	6	a	a	DET
cana-1120	73	7	multilayer	multilayer	ADJ
cana-1120	73	8	network	network	NOUN
cana-1120	73	9	may	may	AUX
cana-1120	73	10	also	also	ADV
cana-1120	73	11	be	be	AUX
cana-1120	73	12	thought	think	VERB
cana-1120	73	13	of	of	ADP
cana-1120	73	14	as	as	ADP
cana-1120	73	15	a	a	DET
cana-1120	73	16	cascade	cascade	NOUN
cana-1120	73	17	of	of	ADP
cana-1120	73	18	groups	group	NOUN
cana-1120	73	19	of	of	ADP
cana-1120	73	20	single	single	ADJ
cana-1120	73	21	-	-	PUNCT
cana-1120	73	22	layer	layer	NOUN
cana-1120	73	23	networks	network	NOUN
cana-1120	73	24	;	;	PUNCT
cana-1120	73	25	the	the	DET
cana-1120	73	26	number	number	NOUN
cana-1120	73	27	of	of	ADP
cana-1120	73	28	single	single	ADJ
cana-1120	73	29	-	-	PUNCT
cana-1120	73	30	layer	layer	NOUN
cana-1120	73	31	networks	network	NOUN
cana-1120	73	32	that	that	PRON
cana-1120	73	33	are	be	AUX
cana-1120	73	34	combined	combine	VERB
cana-1120	73	35	into	into	ADP
cana-1120	73	36	this	this	DET
cana-1120	73	37	multilayer	multilayer	ADJ
cana-1120	73	38	network	network	NOUN
cana-1120	73	39	indicates	indicate	VERB
cana-1120	73	40	the	the	DET
cana-1120	73	41	degree	degree	NOUN
cana-1120	73	42	of	of	ADP
cana-1120	73	43	computing	compute	VERB
cana-1120	73	44	complexity	complexity	NOUN
cana-1120	73	45	.	.	PUNCT
cana-1120	74	1	depending	depend	VERB
cana-1120	74	2	on	on	ADP
cana-1120	74	3	the	the	DET
cana-1120	74	4	desired	desire	VERB
cana-1120	74	5	computation	computation	NOUN
cana-1120	74	6	complexity	complexity	NOUN
cana-1120	74	7	,	,	PUNCT
cana-1120	74	8	the	the	DET
cana-1120	74	9	number	number	NOUN
cana-1120	74	10	of	of	ADP
cana-1120	74	11	hidden	hidden	ADJ
cana-1120	74	12	layers	layer	NOUN
cana-1120	74	13	needed	need	VERB
cana-1120	74	14	for	for	ADP
cana-1120	74	15	an	an	DET
cana-1120	74	16	artificial	artificial	ADJ
cana-1120	74	17	neural	neural	ADJ
cana-1120	74	18	network	network	NOUN
cana-1120	74	19	should	should	AUX
cana-1120	74	20	be	be	AUX
cana-1120	74	21	taken	take	VERB
cana-1120	74	22	into	into	ADP
cana-1120	74	23	account	account	NOUN
cana-1120	74	24	by	by	ADP
cana-1120	74	25	the	the	DET
cana-1120	74	26	network	network	NOUN
cana-1120	74	27	designer	designer	NOUN
cana-1120	74	28	.	.	PUNCT
cana-1120	75	1	where	where	SCONJ
cana-1120	75	2	f	f	PROPN
cana-1120	75	3	is	be	AUX
cana-1120	75	4	a	a	DET
cana-1120	75	5	hyperbolic	hyperbolic	ADJ
cana-1120	75	6	tangent	tangent	NOUN
cana-1120	75	7	function	function	NOUN
cana-1120	75	8	,	,	PUNCT
cana-1120	75	9	p	p	NOUN
cana-1120	75	10	is	be	AUX
cana-1120	75	11	the	the	DET
cana-1120	75	12	number	number	NOUN
cana-1120	75	13	of	of	ADP
cana-1120	75	14	information	information	NOUN
cana-1120	75	15	hubs	hub	NOUN
cana-1120	75	16	,	,	PUNCT
cana-1120	75	17	and	and	CCONJ
cana-1120	75	18	q	q	NOUN
cana-1120	75	19	is	be	AUX
cana-1120	75	20	the	the	DET
cana-1120	75	21	number	number	NOUN
cana-1120	75	22	of	of	ADP
cana-1120	75	23	veiled	veiled	ADJ
cana-1120	75	24	hubs	hub	NOUN
cana-1120	75	25	.	.	PUNCT
cana-1120	76	1	a	a	DET
cana-1120	76	2	vector	vector	NOUN
cana-1120	76	3	of	of	ADP
cana-1120	76	4	weights	weight	NOUN
cana-1120	76	5	from	from	ADP
cana-1120	76	6	the	the	DET
cana-1120	76	7	hidden	hide	VERB
cana-1120	76	8	to	to	ADP
cana-1120	76	9	output	output	NOUN
cana-1120	76	10	nodes	node	NOUN
cana-1120	76	11	is	be	AUX
cana-1120	76	12	represented	represent	VERB
cana-1120	76	13	by	by	ADP
cana-1120	76	14	{	{	PUNCT
cana-1120	76	15	βj	βj	PRON
cana-1120	76	16	,	,	PUNCT
cana-1120	76	17	j=0,1,	j=0,1,	ADJ
cana-1120	76	18	…	…	SYM
cana-1120	76	19	q	q	ADJ
cana-1120	76	20	}	}	PUNCT
cana-1120	76	21	and	and	CCONJ
cana-1120	76	22	weights	weight	NOUN
cana-1120	76	23	from	from	ADP
cana-1120	76	24	the	the	DET
cana-1120	76	25	input	input	NOUN
cana-1120	76	26	to	to	ADP
cana-1120	76	27	hidden	hide	VERB
cana-1120	76	28	nodes	node	NOUN
cana-1120	76	29	are	be	AUX
cana-1120	76	30	represented	represent	VERB
cana-1120	76	31	by	by	ADP
cana-1120	76	32	{	{	PUNCT
cana-1120	76	33	ϒij	ϒij	PROPN
cana-1120	76	34	i=0,1,2,	i=0,1,2,	NOUN
cana-1120	76	35	…	…	PUNCT
cana-1120	76	36	.p	.p	NOUN
cana-1120	76	37	;	;	PUNCT
cana-1120	76	38	j=1,2,	j=1,2,	NOUN
cana-1120	76	39	…	…	SYM
cana-1120	76	40	q	q	NOUN
cana-1120	76	41	}	}	PUNCT
cana-1120	76	42	.	.	PUNCT
cana-1120	77	1	3.3	3.3	NUM
cana-1120	77	2	hybrid	hybrid	NOUN
cana-1120	77	3	methodology	methodology	NOUN
cana-1120	77	4	considering	consider	VERB
cana-1120	77	5	a	a	DET
cana-1120	77	6	period	period	NOUN
cana-1120	77	7	for	for	ADP
cana-1120	77	8	creating	create	VERB
cana-1120	77	9	a	a	DET
cana-1120	77	10	linear	linear	ADJ
cana-1120	77	11	autocorrelation	autocorrelation	NOUN
cana-1120	77	12	structure	structure	NOUN
cana-1120	77	13	and	and	CCONJ
cana-1120	77	14	also	also	ADV
cana-1120	77	15	nonlinear	nonlinear	ADJ
cana-1120	77	16	component	component	NOUN
cana-1120	77	17	for	for	ADP
cana-1120	77	18	hybrid	hybrid	ADJ
cana-1120	77	19	model	model	NOUN
cana-1120	77	20	zt	zt	PROPN
cana-1120	77	21	=	=	SYM
cana-1120	77	22	l	l	PROPN
cana-1120	77	23	t	t	NOUN
cana-1120	77	24	+	+	CCONJ
cana-1120	77	25	n	n	CCONJ
cana-1120	77	26	t	t	NOUN
cana-1120	77	27	here	here	ADV
cana-1120	77	28	,	,	PUNCT
cana-1120	77	29	the	the	DET
cana-1120	77	30	linear	linear	ADJ
cana-1120	77	31	part	part	NOUN
cana-1120	77	32	is	be	AUX
cana-1120	77	33	indicated	indicate	VERB
cana-1120	77	34	by	by	ADP
cana-1120	77	35	l	l	PROPN
cana-1120	77	36	t	t	PROPN
cana-1120	77	37	and	and	CCONJ
cana-1120	77	38	non	non	ADJ
cana-1120	77	39	-	-	ADJ
cana-1120	77	40	direct	direct	ADJ
cana-1120	77	41	part	part	NOUN
cana-1120	77	42	by	by	ADP
cana-1120	77	43	n	n	PROPN
cana-1120	77	44	t.	t.	NOUN
cana-1120	77	45	the	the	DET
cana-1120	77	46	data	datum	NOUN
cana-1120	77	47	set	set	VERB
cana-1120	77	48	is	be	AUX
cana-1120	77	49	used	use	VERB
cana-1120	77	50	to	to	PART
cana-1120	77	51	evaluate	evaluate	VERB
cana-1120	77	52	the	the	DET
cana-1120	77	53	component	component	NOUN
cana-1120	77	54	mentioned	mention	VERB
cana-1120	77	55	above	above	ADV
cana-1120	77	56	.	.	PUNCT
cana-1120	78	1	initially	initially	ADV
cana-1120	78	2	,	,	PUNCT
cana-1120	78	3	the	the	DET
cana-1120	78	4	arima	arima	PROPN
cana-1120	78	5	is	be	AUX
cana-1120	78	6	used	use	VERB
cana-1120	78	7	to	to	PART
cana-1120	78	8	illustrate	illustrate	VERB
cana-1120	78	9	the	the	DET
cana-1120	78	10	linear	linear	ADJ
cana-1120	78	11	segment	segment	NOUN
cana-1120	78	12	;	;	PUNCT
cana-1120	78	13	later	later	ADV
cana-1120	78	14	,	,	PUNCT
cana-1120	78	15	the	the	DET
cana-1120	78	16	non	non	ADJ
cana-1120	78	17	-	-	ADJ
cana-1120	78	18	linear	linear	ADJ
cana-1120	78	19	part	part	NOUN
cana-1120	78	20	would	would	AUX
cana-1120	78	21	be	be	AUX
cana-1120	78	22	included	include	VERB
cana-1120	78	23	in	in	ADP
cana-1120	78	24	the	the	DET
cana-1120	78	25	segments	segment	NOUN
cana-1120	78	26	that	that	PRON
cana-1120	78	27	were	be	AUX
cana-1120	78	28	left	leave	VERB
cana-1120	78	29	out	out	ADP
cana-1120	78	30	of	of	ADP
cana-1120	78	31	the	the	DET
cana-1120	78	32	linear	linear	PROPN
cana-1120	78	33	model	model	NOUN
cana-1120	78	34	.	.	PUNCT
cana-1120	79	1	let	let	VERB
cana-1120	79	2	et	et	PRON
cana-1120	79	3	represent	represent	VERB
cana-1120	79	4	the	the	DET
cana-1120	79	5	residual	residual	ADJ
cana-1120	79	6	at	at	ADP
cana-1120	79	7	time	time	NOUN
cana-1120	79	8	t	t	NOUN
cana-1120	79	9	out	out	ADP
cana-1120	79	10	of	of	ADP
cana-1120	79	11	the	the	DET
cana-1120	79	12	linear	linear	PROPN
cana-1120	79	13	model	model	NOUN
cana-1120	79	14	.	.	PUNCT
cana-1120	80	1	then	then	ADV
cana-1120	80	2	,	,	PUNCT
cana-1120	80	3	et	et	NOUN
cana-1120	80	4	=	=	PUNCT
cana-1120	80	5	zt	zt	PROPN
cana-1120	80	6	t	t	PROPN
cana-1120	80	7	in	in	ADP
cana-1120	80	8	this	this	DET
cana-1120	80	9	case	case	NOUN
cana-1120	80	10	,	,	PUNCT
cana-1120	80	11	t	t	PROPN
cana-1120	80	12	represents	represent	VERB
cana-1120	80	13	the	the	DET
cana-1120	80	14	prediction	prediction	NOUN
cana-1120	80	15	value	value	NOUN
cana-1120	80	16	for	for	ADP
cana-1120	80	17	the	the	DET
cana-1120	80	18	out	out	NOUN
cana-1120	80	19	of	of	ADP
cana-1120	80	20	the	the	DET
cana-1120	80	21	predicted	predict	VERB
cana-1120	80	22	connection	connection	NOUN
cana-1120	80	23	.	.	PUNCT
cana-1120	81	1	relative	relative	ADJ
cana-1120	81	2	to	to	ADP
cana-1120	81	3	the	the	DET
cana-1120	81	4	straight	straight	ADJ
cana-1120	81	5	models	model	NOUN
cana-1120	81	6	,	,	PUNCT
cana-1120	81	7	the	the	DET
cana-1120	81	8	residuals	residual	NOUN
cana-1120	81	9	are	be	AUX
cana-1120	81	10	a	a	DET
cana-1120	81	11	major	major	ADJ
cana-1120	81	12	diagnostic	diagnostic	ADJ
cana-1120	81	13	tool	tool	NOUN
cana-1120	81	14	.	.	PUNCT
cana-1120	82	1	some	some	DET
cana-1120	82	2	fundamental	fundamental	ADJ
cana-1120	82	3	nonlinear	nonlinear	ADJ
cana-1120	82	4	features	feature	NOUN
cana-1120	82	5	in	in	ADP
cana-1120	82	6	the	the	DET
cana-1120	82	7	residuals	residual	NOUN
cana-1120	82	8	point	point	NOUN
cana-1120	82	9	to	to	ADP
cana-1120	82	10	the	the	DET
cana-1120	82	11	arima	arima	PROPN
cana-1120	82	12	restrictions	restriction	NOUN
cana-1120	82	13	.	.	PUNCT
cana-1120	83	1	with	with	ADP
cana-1120	83	2	the	the	DET
cana-1120	83	3	use	use	NOUN
cana-1120	83	4	of	of	ADP
cana-1120	83	5	artificial	artificial	ADJ
cana-1120	83	6	neural	neural	ADJ
cana-1120	83	7	networks	network	NOUN
cana-1120	83	8	(	(	PUNCT
cana-1120	83	9	anns	anns	PROPN
cana-1120	83	10	)	)	PUNCT
cana-1120	83	11	,	,	PUNCT
cana-1120	83	12	residual	residual	ADJ
cana-1120	83	13	modeling	modeling	NOUN
cana-1120	83	14	detects	detect	NOUN
cana-1120	83	15	nonlinear	nonlinear	ADJ
cana-1120	83	16	correlations	correlation	NOUN
cana-1120	83	17	.	.	PUNCT
cana-1120	84	1	the	the	DET
cana-1120	84	2	ann	ann	PROPN
cana-1120	84	3	model	model	NOUN
cana-1120	84	4	with	with	ADP
cana-1120	84	5	n	n	ADP
cana-1120	84	6	input	input	NOUN
cana-1120	84	7	nodes	node	NOUN
cana-1120	84	8	is	be	AUX
cana-1120	84	9	given	give	VERB
cana-1120	84	10	as	as	ADP
cana-1120	84	11	et	et	NOUN
cana-1120	84	12	=	=	PROPN
cana-1120	84	13	f	f	PROPN
cana-1120	84	14	(	(	PUNCT
cana-1120	84	15	et-1	et-1	X
cana-1120	84	16	,	,	PUNCT
cana-1120	84	17	et-2	et-2	NOUN
cana-1120	84	18	,	,	PUNCT
cana-1120	84	19	…	…	PUNCT
cana-1120	84	20	.	.	PUNCT
cana-1120	84	21	et	et	PROPN
cana-1120	84	22	–	–	PUNCT
cana-1120	84	23	n	n	CCONJ
cana-1120	84	24	)	)	PUNCT
cana-1120	85	1	+	+	CCONJ
cana-1120	85	2	εt	εt	INTJ
cana-1120	85	3	in	in	ADP
cana-1120	85	4	this	this	DET
cana-1120	85	5	case	case	NOUN
cana-1120	85	6	,	,	PUNCT
cana-1120	85	7	f	f	PROPN
cana-1120	85	8	is	be	AUX
cana-1120	85	9	a	a	DET
cana-1120	85	10	non	non	ADJ
cana-1120	85	11	-	-	ADJ
cana-1120	85	12	linear	linear	ADJ
cana-1120	85	13	function	function	NOUN
cana-1120	85	14	governed	govern	VERB
cana-1120	85	15	by	by	ADP
cana-1120	85	16	the	the	DET
cana-1120	85	17	neural	neural	ADJ
cana-1120	85	18	structure	structure	NOUN
cana-1120	85	19	,	,	PUNCT
cana-1120	85	20	and	and	CCONJ
cana-1120	85	21	et	et	NOUN
cana-1120	85	22	is	be	AUX
cana-1120	85	23	the	the	DET
cana-1120	85	24	randomly	randomly	NOUN
cana-1120	85	25	that	that	PRON
cana-1120	85	26	appears	appear	VERB
cana-1120	85	27	if	if	SCONJ
cana-1120	85	28	the	the	DET
cana-1120	85	29	model	model	NOUN
cana-1120	85	30	f	f	PROPN
cana-1120	85	31	becomes	become	VERB
cana-1120	85	32	unsuitable	unsuitable	ADJ
cana-1120	85	33	.	.	PUNCT
cana-1120	86	1	communications	communication	NOUN
cana-1120	86	2	on	on	ADP
cana-1120	86	3	applied	apply	VERB
cana-1120	86	4	nonlinear	nonlinear	ADJ
cana-1120	86	5	analysis	analysis	NOUN
cana-1120	86	6	issn	issn	NOUN
cana-1120	86	7	:	:	PUNCT
cana-1120	86	8	1074	1074	NUM
cana-1120	86	9	-	-	PUNCT
cana-1120	86	10	133x	133x	NUM
cana-1120	86	11	vol	vol	NOUN
cana-1120	86	12	31	31	NUM
cana-1120	86	13	no	no	NOUN
cana-1120	86	14	.	.	PUNCT
cana-1120	87	1	6s	6s	NUM
cana-1120	87	2	(	(	PUNCT
cana-1120	87	3	2024	2024	NUM
cana-1120	87	4	)	)	PUNCT
cana-1120	87	5	65	65	NUM
cana-1120	87	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	87	7	figure	figure	NOUN
cana-1120	87	8	3.3.1	3.3.1	NUM
cana-1120	87	9	overview	overview	NOUN
cana-1120	87	10	of	of	ADP
cana-1120	87	11	hybrid	hybrid	ADJ
cana-1120	87	12	arima	arima	PROPN
cana-1120	87	13	/	/	SYM
cana-1120	87	14	ann	ann	PROPN
cana-1120	87	15	3	3	NUM
cana-1120	87	16	.	.	PUNCT
cana-1120	88	1	sources	source	NOUN
cana-1120	88	2	of	of	ADP
cana-1120	88	3	data	datum	NOUN
cana-1120	88	4	the	the	DET
cana-1120	88	5	precious	precious	ADJ
cana-1120	88	6	metal	metal	NOUN
cana-1120	88	7	platinum	platinum	NOUN
cana-1120	88	8	prices	price	NOUN
cana-1120	88	9	of	of	ADP
cana-1120	88	10	were	be	AUX
cana-1120	88	11	collected	collect	VERB
cana-1120	88	12	from	from	ADP
cana-1120	88	13	january	january	PROPN
cana-1120	88	14	1st	1st	NOUN
cana-1120	88	15	2021	2021	NUM
cana-1120	88	16	to	to	ADP
cana-1120	88	17	30th	30th	NUM
cana-1120	88	18	november	november	PROPN
cana-1120	88	19	2023	2023	NUM
cana-1120	88	20	(	(	PUNCT
cana-1120	88	21	1064	1064	NUM
cana-1120	88	22	observations	observation	NOUN
cana-1120	88	23	)	)	PUNCT
cana-1120	88	24	from	from	ADP
cana-1120	88	25	website	website	NOUN
cana-1120	88	26	rupeerates.in	rupeerates.in	NOUN
cana-1120	88	27	and	and	CCONJ
cana-1120	88	28	these	these	DET
cana-1120	88	29	observations	observation	NOUN
cana-1120	88	30	are	be	AUX
cana-1120	88	31	segregated	segregate	VERB
cana-1120	88	32	into	into	ADP
cana-1120	88	33	training	training	NOUN
cana-1120	88	34	sample	sample	NOUN
cana-1120	88	35	(	(	PUNCT
cana-1120	88	36	1st	1st	ADJ
cana-1120	88	37	january	january	PROPN
cana-1120	88	38	2021	2021	NUM
cana-1120	88	39	to	to	ADP
cana-1120	88	40	31st	31st	NOUN
cana-1120	88	41	october	october	PROPN
cana-1120	88	42	2023	2023	NUM
cana-1120	88	43	)	)	PUNCT
cana-1120	88	44	and	and	CCONJ
cana-1120	88	45	testing	test	VERB
cana-1120	88	46	sample	sample	NOUN
cana-1120	88	47	(	(	PUNCT
cana-1120	88	48	1st	1st	ADJ
cana-1120	88	49	november	november	PROPN
cana-1120	88	50	2023	2023	NUM
cana-1120	88	51	to	to	ADP
cana-1120	88	52	30th	30th	NUM
cana-1120	88	53	november	november	PROPN
cana-1120	88	54	2023	2023	NUM
cana-1120	88	55	)	)	PUNCT
cana-1120	88	56	.	.	PUNCT
cana-1120	89	1	3.1	3.1	NUM
cana-1120	89	2	platinum	platinum	NOUN
cana-1120	89	3	price	price	NOUN
cana-1120	89	4	prediction	prediction	NOUN
cana-1120	89	5	by	by	ADP
cana-1120	89	6	box	box	NOUN
cana-1120	89	7	-	-	PUNCT
cana-1120	89	8	jenkins	jenkins	PROPN
cana-1120	89	9	method	method	PROPN
cana-1120	89	10	developing	develop	VERB
cana-1120	89	11	an	an	DET
cana-1120	89	12	arima	arima	NOUN
cana-1120	89	13	model	model	NOUN
cana-1120	89	14	for	for	ADP
cana-1120	89	15	any	any	DET
cana-1120	89	16	variable	variable	NOUN
cana-1120	89	17	essentially	essentially	ADV
cana-1120	89	18	involves	involve	VERB
cana-1120	89	19	four	four	NUM
cana-1120	89	20	steps	step	NOUN
cana-1120	89	21	:	:	PUNCT
cana-1120	89	22	identification	identification	NOUN
cana-1120	89	23	,	,	PUNCT
cana-1120	89	24	estimating	estimating	NOUN
cana-1120	89	25	,	,	PUNCT
cana-1120	89	26	diagnostic	diagnostic	ADJ
cana-1120	89	27	assessment	assessment	NOUN
cana-1120	89	28	,	,	PUNCT
cana-1120	89	29	and	and	CCONJ
cana-1120	89	30	forecasting	forecasting	NOUN
cana-1120	89	31	.	.	PUNCT
cana-1120	90	1	the	the	DET
cana-1120	90	2	following	following	NOUN
cana-1120	90	3	describes	describe	VERB
cana-1120	90	4	the	the	DET
cana-1120	90	5	basic	basic	ADJ
cana-1120	90	6	steps	step	NOUN
cana-1120	90	7	of	of	ADP
cana-1120	90	8	boxjenkins	boxjenkin	NOUN
cana-1120	90	9	metrology	metrology	NOUN
cana-1120	90	10	.	.	PUNCT
cana-1120	91	1	the	the	DET
cana-1120	91	2	following	follow	VERB
cana-1120	91	3	graph	graph	NOUN
cana-1120	91	4	shows	show	VERB
cana-1120	91	5	the	the	DET
cana-1120	91	6	daily	daily	ADJ
cana-1120	91	7	trend	trend	NOUN
cana-1120	91	8	of	of	ADP
cana-1120	91	9	platinum	platinum	NOUN
cana-1120	91	10	prices	price	NOUN
cana-1120	91	11	from	from	ADP
cana-1120	91	12	january	january	PROPN
cana-1120	91	13	1	1	NUM
cana-1120	91	14	,	,	PUNCT
cana-1120	91	15	2021	2021	NUM
cana-1120	91	16	,	,	PUNCT
cana-1120	91	17	to	to	ADP
cana-1120	91	18	november	november	PROPN
cana-1120	91	19	30	30	NUM
cana-1120	91	20	,	,	PUNCT
cana-1120	91	21	2023	2023	NUM
cana-1120	91	22	.	.	PUNCT
cana-1120	92	1	a	a	DET
cana-1120	92	2	non	non	ADJ
cana-1120	92	3	-	-	ADJ
cana-1120	92	4	stationary	stationary	ADJ
cana-1120	92	5	time	time	NOUN
cana-1120	92	6	series	series	NOUN
cana-1120	92	7	is	be	AUX
cana-1120	92	8	displayed	display	VERB
cana-1120	92	9	by	by	ADP
cana-1120	92	10	the	the	DET
cana-1120	92	11	daily	daily	ADJ
cana-1120	92	12	platinum	platinum	NOUN
cana-1120	92	13	prices	price	NOUN
cana-1120	92	14	.	.	PUNCT
cana-1120	93	1	figure	figure	VERB
cana-1120	93	2	3.1.1	3.1.1	NOUN
cana-1120	93	3	below	below	ADV
cana-1120	93	4	makes	make	VERB
cana-1120	93	5	it	it	PRON
cana-1120	93	6	evident	evident	ADJ
cana-1120	93	7	that	that	SCONJ
cana-1120	93	8	there	there	PRON
cana-1120	93	9	are	be	VERB
cana-1120	93	10	a	a	DET
cana-1120	93	11	lot	lot	NOUN
cana-1120	93	12	of	of	ADP
cana-1120	93	13	swings	swing	NOUN
cana-1120	93	14	in	in	ADP
cana-1120	93	15	the	the	DET
cana-1120	93	16	time	time	NOUN
cana-1120	93	17	plot	plot	NOUN
cana-1120	93	18	,	,	PUNCT
cana-1120	93	19	indicating	indicate	VERB
cana-1120	93	20	that	that	SCONJ
cana-1120	93	21	the	the	DET
cana-1120	93	22	time	time	NOUN
cana-1120	93	23	series	series	PROPN
cana-1120	93	24	is	be	AUX
cana-1120	93	25	non	non	ADJ
cana-1120	93	26	-	-	ADJ
cana-1120	93	27	stationary	stationary	ADJ
cana-1120	93	28	.	.	PUNCT
cana-1120	94	1	the	the	DET
cana-1120	94	2	arima	arima	PROPN
cana-1120	94	3	model	model	NOUN
cana-1120	94	4	can	can	AUX
cana-1120	94	5	only	only	ADV
cana-1120	94	6	produce	produce	VERB
cana-1120	94	7	estimates	estimate	NOUN
cana-1120	94	8	once	once	SCONJ
cana-1120	94	9	the	the	DET
cana-1120	94	10	forecasting	forecasting	NOUN
cana-1120	94	11	variable	variable	NOUN
cana-1120	94	12	has	have	AUX
cana-1120	94	13	been	be	AUX
cana-1120	94	14	transformed	transform	VERB
cana-1120	94	15	into	into	ADP
cana-1120	94	16	a	a	DET
cana-1120	94	17	stationary	stationary	ADJ
cana-1120	94	18	series	series	NOUN
cana-1120	94	19	.	.	PUNCT
cana-1120	95	1	non	non	ADJ
cana-1120	95	2	-	-	ADJ
cana-1120	95	3	stationary	stationary	ADJ
cana-1120	95	4	variance	variance	NOUN
cana-1120	95	5	is	be	AUX
cana-1120	95	6	corrected	correct	VERB
cana-1120	95	7	using	use	VERB
cana-1120	95	8	the	the	DET
cana-1120	95	9	natural	natural	ADJ
cana-1120	95	10	log	log	NOUN
cana-1120	95	11	transformation	transformation	NOUN
cana-1120	95	12	,	,	PUNCT
cana-1120	95	13	and	and	CCONJ
cana-1120	95	14	non	non	ADJ
cana-1120	95	15	-	-	ADJ
cana-1120	95	16	stationary	stationary	ADJ
cana-1120	95	17	mean	mean	NOUN
cana-1120	95	18	correlation	correlation	NOUN
cana-1120	95	19	is	be	AUX
cana-1120	95	20	achieved	achieve	VERB
cana-1120	95	21	with	with	ADP
cana-1120	95	22	the	the	DET
cana-1120	95	23	necessary	necessary	ADJ
cana-1120	95	24	data	datum	NOUN
cana-1120	95	25	differencing	differencing	NOUN
cana-1120	95	26	.	.	PUNCT
cana-1120	96	1	in	in	ADP
cana-1120	96	2	this	this	DET
cana-1120	96	3	case	case	NOUN
cana-1120	96	4	,	,	PUNCT
cana-1120	96	5	a	a	DET
cana-1120	96	6	difference	difference	NOUN
cana-1120	96	7	of	of	ADP
cana-1120	96	8	order	order	NOUN
cana-1120	96	9	1	1	NUM
cana-1120	96	10	(	(	PUNCT
cana-1120	96	11	i.e.	i.e.	X
cana-1120	96	12	,	,	PUNCT
cana-1120	96	13	d=1	d=1	NOUN
cana-1120	96	14	)	)	PUNCT
cana-1120	96	15	is	be	AUX
cana-1120	96	16	sufficient	sufficient	ADJ
cana-1120	96	17	to	to	PART
cana-1120	96	18	achieve	achieve	VERB
cana-1120	96	19	stability	stability	NOUN
cana-1120	96	20	in	in	ADP
cana-1120	96	21	the	the	DET
cana-1120	96	22	mean	mean	NOUN
cana-1120	96	23	.	.	PUNCT
cana-1120	97	1	after	after	ADP
cana-1120	97	2	creating	create	VERB
cana-1120	97	3	the	the	DET
cana-1120	97	4	variable	variable	ADJ
cana-1120	97	5	wt	wt	NOUN
cana-1120	97	6	=	=	SYM
cana-1120	97	7	ln	ln	ADJ
cana-1120	97	8	(	(	PUNCT
cana-1120	97	9	zt	zt	PROPN
cana-1120	97	10	)	)	PUNCT
cana-1120	97	11	,	,	PUNCT
cana-1120	97	12	its	its	PRON
cana-1120	97	13	stationary	stationary	ADJ
cana-1120	97	14	behavior	behavior	NOUN
cana-1120	97	15	may	may	AUX
cana-1120	97	16	be	be	AUX
cana-1120	97	17	examined	examine	VERB
cana-1120	97	18	.	.	PUNCT
cana-1120	98	1	figure	figure	NOUN
cana-1120	98	2	3.1.2	3.1.2	NUM
cana-1120	98	3	.	.	PUNCT
cana-1120	98	4	shows	show	VERB
cana-1120	98	5	the	the	DET
cana-1120	98	6	time	time	NOUN
cana-1120	98	7	plot	plot	NOUN
cana-1120	98	8	of	of	ADP
cana-1120	98	9	the	the	DET
cana-1120	98	10	modified	modify	VERB
cana-1120	98	11	series	series	NOUN
cana-1120	98	12	.	.	PUNCT
cana-1120	99	1	figure	figure	VERB
cana-1120	99	2	3.1.1	3.1.1	NUM
cana-1120	99	3	:	:	PUNCT
cana-1120	99	4	time	time	NOUN
cana-1120	99	5	series	series	NOUN
cana-1120	99	6	of	of	ADP
cana-1120	99	7	daily	daily	ADJ
cana-1120	99	8	platinum	platinum	NOUN
cana-1120	99	9	prices	price	NOUN
cana-1120	99	10	in	in	ADP
cana-1120	99	11	india	india	PROPN
cana-1120	99	12	figure	figure	NOUN
cana-1120	99	13	3.1.2	3.1.2	NUM
cana-1120	99	14	–	–	PUNCT
cana-1120	99	15	time	time	NOUN
cana-1120	99	16	plot	plot	NOUN
cana-1120	99	17	for	for	ADP
cana-1120	99	18	trasformed	trasformed	ADJ
cana-1120	99	19	series	series	NOUN
cana-1120	99	20	communications	communication	NOUN
cana-1120	99	21	on	on	ADP
cana-1120	99	22	applied	apply	VERB
cana-1120	99	23	nonlinear	nonlinear	ADJ
cana-1120	99	24	analysis	analysis	NOUN
cana-1120	99	25	issn	issn	NOUN
cana-1120	99	26	:	:	PUNCT
cana-1120	99	27	1074	1074	NUM
cana-1120	99	28	-	-	PUNCT
cana-1120	99	29	133x	133x	NUM
cana-1120	99	30	vol	vol	NOUN
cana-1120	99	31	31	31	NUM
cana-1120	99	32	no	no	NOUN
cana-1120	99	33	.	.	PUNCT
cana-1120	100	1	6s	6s	NUM
cana-1120	100	2	(	(	PUNCT
cana-1120	100	3	2024	2024	NUM
cana-1120	100	4	)	)	PUNCT
cana-1120	100	5	66	66	NUM
cana-1120	101	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	101	2	compute	compute	VERB
cana-1120	101	3	the	the	DET
cana-1120	101	4	sample	sample	NOUN
cana-1120	101	5	autocorrelation	autocorrelation	NOUN
cana-1120	101	6	function	function	NOUN
cana-1120	101	7	to	to	PART
cana-1120	101	8	see	see	VERB
cana-1120	101	9	whether	whether	SCONJ
cana-1120	101	10	the	the	DET
cana-1120	101	11	series	series	NOUN
cana-1120	101	12	is	be	AUX
cana-1120	101	13	stationary	stationary	ADJ
cana-1120	101	14	.	.	PUNCT
cana-1120	102	1	for	for	ADP
cana-1120	102	2	a	a	DET
cana-1120	102	3	sample	sample	NOUN
cana-1120	102	4	acf	acf	NOUN
cana-1120	102	5	and	and	CCONJ
cana-1120	102	6	pacf	pacf	NOUN
cana-1120	102	7	for	for	ADP
cana-1120	102	8	50	50	NUM
cana-1120	102	9	lags	lag	NOUN
cana-1120	102	10	is	be	AUX
cana-1120	102	11	in	in	ADP
cana-1120	102	12	figure-3.1.3	figure-3.1.3	PROPN
cana-1120	102	13	.	.	PUNCT
cana-1120	102	14	and	and	CCONJ
cana-1120	102	15	figure-3.1.4	figure-3.1.4	PROPN
cana-1120	102	16	.	.	PUNCT
cana-1120	103	1	and	and	CCONJ
cana-1120	103	2	sample	sample	VERB
cana-1120	103	3	acf	acf	PROPN
cana-1120	103	4	and	and	CCONJ
cana-1120	103	5	pacf	pacf	NOUN
cana-1120	103	6	for	for	ADP
cana-1120	103	7	trasformed	trasformed	ADJ
cana-1120	103	8	series	serie	NOUN
cana-1120	103	9	are	be	AUX
cana-1120	103	10	shown	show	VERB
cana-1120	103	11	below	below	ADP
cana-1120	103	12	in	in	ADP
cana-1120	103	13	figure	figure	NOUN
cana-1120	103	14	3.1.5	3.1.5	NUM
cana-1120	103	15	and	and	CCONJ
cana-1120	103	16	figure	figure	NOUN
cana-1120	103	17	3.1.6	3.1.6	NUM
cana-1120	103	18	.	.	PUNCT
cana-1120	104	1	figure	figure	VERB
cana-1120	104	2	3.1.3	3.1.3	NUM
cana-1120	104	3	.	.	PUNCT
cana-1120	105	1	sample	sample	NOUN
cana-1120	105	2	autocorrelation	autocorrelation	NOUN
cana-1120	105	3	function	function	NOUN
cana-1120	105	4	figure	figure	NOUN
cana-1120	105	5	3.1.4	3.1.4	NUM
cana-1120	105	6	.	.	PUNCT
cana-1120	106	1	sample	sample	NOUN
cana-1120	106	2	partial	partial	ADJ
cana-1120	106	3	autocorrelationfunction	autocorrelationfunction	NOUN
cana-1120	106	4	figure	figure	NOUN
cana-1120	106	5	3.1.5.sample	3.1.5.sample	NUM
cana-1120	106	6	acf	acf	NOUN
cana-1120	106	7	for	for	ADP
cana-1120	106	8	trasnformed	trasnforme	VERB
cana-1120	106	9	series	series	NOUN
cana-1120	106	10	figure	figure	NOUN
cana-1120	106	11	3.1.6	3.1.6	NUM
cana-1120	106	12	.	.	PUNCT
cana-1120	107	1	sample	sample	NOUN
cana-1120	107	2	pacffor	pacffor	PROPN
cana-1120	107	3	transformed	transform	VERB
cana-1120	107	4	series	series	PROPN
cana-1120	107	5	the	the	DET
cana-1120	107	6	optimal	optimal	ADJ
cana-1120	107	7	arima	arima	NOUN
cana-1120	107	8	model	model	NOUN
cana-1120	107	9	for	for	ADP
cana-1120	107	10	predicting	predict	VERB
cana-1120	107	11	platinum	platinum	NOUN
cana-1120	107	12	prices	price	NOUN
cana-1120	107	13	was	be	AUX
cana-1120	107	14	found	find	VERB
cana-1120	107	15	using	use	VERB
cana-1120	107	16	expert	expert	ADJ
cana-1120	107	17	modeler	modeler	NOUN
cana-1120	107	18	,	,	PUNCT
cana-1120	107	19	which	which	PRON
cana-1120	107	20	makes	make	VERB
cana-1120	107	21	an	an	DET
cana-1120	107	22	effort	effort	NOUN
cana-1120	107	23	to	to	PART
cana-1120	107	24	automatically	automatically	ADV
cana-1120	107	25	find	find	VERB
cana-1120	107	26	and	and	CCONJ
cana-1120	107	27	estimate	estimate	VERB
cana-1120	107	28	the	the	DET
cana-1120	107	29	best	well	ADV
cana-1120	107	30	-	-	PUNCT
cana-1120	107	31	fitting	fit	VERB
cana-1120	107	32	arima	arima	NOUN
cana-1120	107	33	for	for	ADP
cana-1120	107	34	one	one	NUM
cana-1120	107	35	or	or	CCONJ
cana-1120	107	36	more	more	ADV
cana-1120	107	37	dependent	dependent	ADJ
cana-1120	107	38	variable	variable	ADJ
cana-1120	107	39	series	series	NOUN
cana-1120	107	40	.	.	PUNCT
cana-1120	108	1	this	this	DET
cana-1120	108	2	process	process	NOUN
cana-1120	108	3	removes	remove	VERB
cana-1120	108	4	the	the	DET
cana-1120	108	5	need	need	NOUN
cana-1120	108	6	to	to	PART
cana-1120	108	7	find	find	VERB
cana-1120	108	8	the	the	DET
cana-1120	108	9	right	right	ADJ
cana-1120	108	10	model	model	NOUN
cana-1120	108	11	through	through	ADP
cana-1120	108	12	trial	trial	NOUN
cana-1120	108	13	and	and	CCONJ
cana-1120	108	14	error	error	NOUN
cana-1120	108	15	.	.	PUNCT
cana-1120	109	1	when	when	SCONJ
cana-1120	109	2	evaluated	evaluate	VERB
cana-1120	109	3	on	on	ADP
cana-1120	109	4	the	the	DET
cana-1120	109	5	validation	validation	NOUN
cana-1120	109	6	set	set	NOUN
cana-1120	109	7	,	,	PUNCT
cana-1120	109	8	it	it	PRON
cana-1120	109	9	is	be	AUX
cana-1120	109	10	found	find	VERB
cana-1120	109	11	that	that	SCONJ
cana-1120	109	12	the	the	DET
cana-1120	109	13	arima	arima	PROPN
cana-1120	109	14	(	(	PUNCT
cana-1120	109	15	0	0	NUM
cana-1120	109	16	,	,	PUNCT
cana-1120	109	17	1	1	NUM
cana-1120	109	18	,	,	PUNCT
cana-1120	109	19	1	1	X
cana-1120	109	20	)	)	PUNCT
cana-1120	109	21	model	model	NOUN
cana-1120	109	22	fits	fit	VERB
cana-1120	109	23	the	the	DET
cana-1120	109	24	data	datum	NOUN
cana-1120	109	25	very	very	ADV
cana-1120	109	26	well	well	ADV
cana-1120	109	27	.	.	PUNCT
cana-1120	110	1	the	the	DET
cana-1120	110	2	model	model	NOUN
cana-1120	110	3	parameters	parameter	NOUN
cana-1120	110	4	are	be	AUX
cana-1120	110	5	listed	list	VERB
cana-1120	110	6	in	in	ADP
cana-1120	110	7	table	table	NOUN
cana-1120	110	8	1	1	NUM
cana-1120	110	9	below	below	ADV
cana-1120	110	10	.	.	PUNCT
cana-1120	111	1	table-1	table-1	NUM
cana-1120	111	2	arima	arima	NOUN
cana-1120	111	3	(	(	PUNCT
cana-1120	111	4	0	0	NUM
cana-1120	111	5	,	,	PUNCT
cana-1120	111	6	1	1	NUM
cana-1120	111	7	,	,	PUNCT
cana-1120	111	8	1	1	X
cana-1120	111	9	)	)	PUNCT
cana-1120	111	10	model	model	NOUN
cana-1120	111	11	parameters	parameter	NOUN
cana-1120	111	12	estimate	estimate	VERB
cana-1120	111	13	se	se	PROPN
cana-1120	111	14	t	t	PROPN
cana-1120	111	15	sig	sig	PROPN
cana-1120	111	16	.	.	PUNCT
cana-1120	112	1	numerator	numerator	PROPN
cana-1120	112	2	lag	lag	VERB
cana-1120	112	3	0	0	NUM
cana-1120	112	4	-1.284e-013	-1.284e-013	PROPN
cana-1120	112	5	1.742e-011	1.742e-011	NUM
cana-1120	112	6	-.007	-.007	PROPN
cana-1120	112	7	.994	.994	NUM
cana-1120	112	8	constant	constant	ADJ
cana-1120	112	9	.002	.002	NUM
cana-1120	112	10	.242	.242	NUM
cana-1120	112	11	.007	.007	NUM
cana-1120	112	12	.994	.994	NUM
cana-1120	112	13	difference	difference	NOUN
cana-1120	112	14	1	1	NUM
cana-1120	112	15	ma	ma	PROPN
cana-1120	112	16	lag	lag	VERB
cana-1120	112	17	1	1	NUM
cana-1120	112	18	.039	.039	NUM
cana-1120	112	19	.031	.031	NUM
cana-1120	112	20	1.238	1.238	NUM
cana-1120	112	21	.216	.216	NUM
cana-1120	112	22	communications	communication	NOUN
cana-1120	112	23	on	on	ADP
cana-1120	112	24	applied	apply	VERB
cana-1120	112	25	nonlinear	nonlinear	ADJ
cana-1120	112	26	analysis	analysis	NOUN
cana-1120	112	27	issn	issn	NOUN
cana-1120	112	28	:	:	PUNCT
cana-1120	112	29	1074	1074	NUM
cana-1120	112	30	-	-	PUNCT
cana-1120	112	31	133x	133x	NUM
cana-1120	112	32	vol	vol	NOUN
cana-1120	112	33	31	31	NUM
cana-1120	112	34	no	no	NOUN
cana-1120	112	35	.	.	PUNCT
cana-1120	113	1	6s	6s	NUM
cana-1120	113	2	(	(	PUNCT
cana-1120	113	3	2024	2024	NUM
cana-1120	113	4	)	)	PUNCT
cana-1120	113	5	67	67	NUM
cana-1120	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	113	7	the	the	DET
cana-1120	113	8	model	model	NOUN
cana-1120	113	9	that	that	PRON
cana-1120	113	10	was	be	AUX
cana-1120	113	11	developed	develop	VERB
cana-1120	113	12	to	to	PART
cana-1120	113	13	predict	predict	VERB
cana-1120	113	14	india	india	PROPN
cana-1120	113	15	's	's	PART
cana-1120	113	16	daily	daily	ADJ
cana-1120	113	17	platinum	platinum	NOUN
cana-1120	113	18	prices	price	NOUN
cana-1120	113	19	is	be	AUX
cana-1120	113	20	dlnzt	dlnzt	ADJ
cana-1120	113	21	=	=	SYM
cana-1120	113	22	(	(	PUNCT
cana-1120	113	23	10.039b1	10.039b1	NUM
cana-1120	113	24	)	)	PUNCT
cana-1120	113	25	the	the	DET
cana-1120	113	26	performance	performance	NOUN
cana-1120	113	27	summary	summary	NOUN
cana-1120	113	28	of	of	ADP
cana-1120	113	29	the	the	DET
cana-1120	113	30	model	model	NOUN
cana-1120	113	31	for	for	ADP
cana-1120	113	32	the	the	DET
cana-1120	113	33	fitting	fitting	ADJ
cana-1120	113	34	and	and	CCONJ
cana-1120	113	35	forecasting	forecasting	NOUN
cana-1120	113	36	phases	phase	NOUN
cana-1120	113	37	is	be	AUX
cana-1120	113	38	given	give	VERB
cana-1120	113	39	in	in	ADP
cana-1120	113	40	the	the	DET
cana-1120	113	41	following	follow	VERB
cana-1120	113	42	table	table	NOUN
cana-1120	113	43	.	.	PUNCT
cana-1120	114	1	table	table	NOUN
cana-1120	114	2	-2	-2	INTJ
cana-1120	115	1	arima	arima	PROPN
cana-1120	115	2	(	(	PUNCT
cana-1120	115	3	0,1,1	0,1,1	NUM
cana-1120	115	4	)	)	PUNCT
cana-1120	115	5	model	model	NOUN
cana-1120	115	6	performance	performance	NOUN
cana-1120	115	7	data	datum	NOUN
cana-1120	115	8	sets	set	VERB
cana-1120	115	9	mae	mae	PROPN
cana-1120	115	10	mape	mape	PROPN
cana-1120	115	11	rmse	rmse	PROPN
cana-1120	115	12	in	in	ADP
cana-1120	115	13	sample	sample	NOUN
cana-1120	115	14	24.844	24.844	NUM
cana-1120	115	15	0.978	0.978	NUM
cana-1120	115	16	38.199	38.199	NUM
cana-1120	115	17	out	out	ADP
cana-1120	115	18	sample	sample	NOUN
cana-1120	115	19	22.138	22.138	NUM
cana-1120	115	20	0.912	0.912	NUM
cana-1120	115	21	34.794	34.794	NUM
cana-1120	115	22	the	the	DET
cana-1120	115	23	arima	arima	PROPN
cana-1120	115	24	approach	approach	NOUN
cana-1120	115	25	,	,	PUNCT
cana-1120	115	26	like	like	ADP
cana-1120	115	27	any	any	DET
cana-1120	115	28	other	other	ADJ
cana-1120	115	29	model	model	NOUN
cana-1120	115	30	,	,	PUNCT
cana-1120	115	31	can	can	AUX
cana-1120	115	32	not	not	PART
cana-1120	115	33	guarantee	guarantee	VERB
cana-1120	115	34	precise	precise	ADJ
cana-1120	115	35	forecasts	forecast	NOUN
cana-1120	115	36	.	.	PUNCT
cana-1120	116	1	it	it	PRON
cana-1120	116	2	must	must	AUX
cana-1120	116	3	be	be	AUX
cana-1120	116	4	updated	update	VERB
cana-1120	116	5	on	on	ADP
cana-1120	116	6	a	a	DET
cana-1120	116	7	regular	regular	ADJ
cana-1120	116	8	basis	basis	NOUN
cana-1120	116	9	with	with	ADP
cana-1120	116	10	the	the	DET
cana-1120	116	11	addition	addition	NOUN
cana-1120	116	12	of	of	ADP
cana-1120	116	13	new	new	ADJ
cana-1120	116	14	data	datum	NOUN
cana-1120	116	15	,	,	PUNCT
cana-1120	116	16	although	although	SCONJ
cana-1120	116	17	it	it	PRON
cana-1120	116	18	can	can	AUX
cana-1120	116	19	be	be	AUX
cana-1120	116	20	useful	useful	ADJ
cana-1120	116	21	for	for	ADP
cana-1120	116	22	forecasting	forecast	VERB
cana-1120	116	23	long	long	ADJ
cana-1120	116	24	time	time	NOUN
cana-1120	116	25	series	series	PROPN
cana-1120	116	26	data	data	PROPN
cana-1120	116	27	.	.	PUNCT
cana-1120	117	1	3.2	3.2	NUM
cana-1120	117	2	platinum	platinum	NOUN
cana-1120	117	3	price	price	NOUN
cana-1120	117	4	prediction	prediction	NOUN
cana-1120	117	5	by	by	ADP
cana-1120	117	6	feed	feed	NOUN
cana-1120	117	7	forward	forward	ADV
cana-1120	117	8	neural	neural	ADJ
cana-1120	117	9	network	network	NOUN
cana-1120	117	10	model	model	NOUN
cana-1120	117	11	the	the	DET
cana-1120	117	12	three	three	NUM
cana-1120	117	13	layers	layer	NOUN
cana-1120	117	14	of	of	ADP
cana-1120	117	15	the	the	DET
cana-1120	117	16	model	model	NOUN
cana-1120	117	17	are	be	AUX
cana-1120	117	18	an	an	DET
cana-1120	117	19	input	input	NOUN
cana-1120	117	20	layer	layer	NOUN
cana-1120	117	21	,	,	PUNCT
cana-1120	117	22	a	a	DET
cana-1120	117	23	hidden	hidden	ADJ
cana-1120	117	24	layer	layer	NOUN
cana-1120	117	25	,	,	PUNCT
cana-1120	117	26	and	and	CCONJ
cana-1120	117	27	an	an	DET
cana-1120	117	28	output	output	NOUN
cana-1120	117	29	layer	layer	NOUN
cana-1120	117	30	.	.	PUNCT
cana-1120	118	1	it	it	PRON
cana-1120	118	2	's	be	AUX
cana-1120	118	3	a	a	DET
cana-1120	118	4	feedforward	feedforward	ADJ
cana-1120	118	5	neural	neural	ADJ
cana-1120	118	6	network	network	NOUN
cana-1120	118	7	with	with	ADP
cana-1120	118	8	three	three	NUM
cana-1120	118	9	layers	layer	NOUN
cana-1120	118	10	.	.	PUNCT
cana-1120	119	1	there	there	PRON
cana-1120	119	2	is	be	VERB
cana-1120	119	3	just	just	ADV
cana-1120	119	4	one	one	NUM
cana-1120	119	5	input	input	NOUN
cana-1120	119	6	neuron	neuron	NOUN
cana-1120	119	7	required	require	VERB
cana-1120	119	8	in	in	ADP
cana-1120	119	9	this	this	DET
cana-1120	119	10	model	model	NOUN
cana-1120	119	11	,	,	PUNCT
cana-1120	119	12	and	and	CCONJ
cana-1120	119	13	it	it	PRON
cana-1120	119	14	represents	represent	VERB
cana-1120	119	15	the	the	DET
cana-1120	119	16	lag	lag	NOUN
cana-1120	119	17	values	value	NOUN
cana-1120	119	18	(	(	PUNCT
cana-1120	119	19	previous	previous	ADJ
cana-1120	119	20	day	day	NOUN
cana-1120	119	21	prices	price	NOUN
cana-1120	119	22	)	)	PUNCT
cana-1120	119	23	.	.	PUNCT
cana-1120	120	1	this	this	DET
cana-1120	120	2	model	model	NOUN
cana-1120	120	3	shows	show	VERB
cana-1120	120	4	projected	project	VERB
cana-1120	120	5	daily	daily	ADJ
cana-1120	120	6	platinum	platinum	NOUN
cana-1120	120	7	prices	price	NOUN
cana-1120	120	8	and	and	CCONJ
cana-1120	120	9	only	only	ADV
cana-1120	120	10	requires	require	VERB
cana-1120	120	11	one	one	NUM
cana-1120	120	12	output	output	NOUN
cana-1120	120	13	unit	unit	NOUN
cana-1120	120	14	.	.	PUNCT
cana-1120	121	1	determining	determine	VERB
cana-1120	121	2	the	the	DET
cana-1120	121	3	right	right	ADJ
cana-1120	121	4	amount	amount	NOUN
cana-1120	121	5	of	of	ADP
cana-1120	121	6	hidden	hide	VERB
cana-1120	121	7	units	unit	NOUN
cana-1120	121	8	is	be	AUX
cana-1120	121	9	impossible	impossible	ADJ
cana-1120	121	10	without	without	ADP
cana-1120	121	11	testing	testing	NOUN
cana-1120	121	12	and	and	CCONJ
cana-1120	121	13	training	training	NOUN
cana-1120	121	14	.	.	PUNCT
cana-1120	122	1	to	to	PART
cana-1120	122	2	find	find	VERB
cana-1120	122	3	the	the	DET
cana-1120	122	4	right	right	ADJ
cana-1120	122	5	number	number	NOUN
cana-1120	122	6	of	of	ADP
cana-1120	122	7	hidden	hidden	ADJ
cana-1120	122	8	units	unit	NOUN
cana-1120	122	9	,	,	PUNCT
cana-1120	122	10	the	the	DET
cana-1120	122	11	best	good	ADJ
cana-1120	122	12	approach	approach	NOUN
cana-1120	122	13	is	be	AUX
cana-1120	122	14	to	to	PART
cana-1120	122	15	experiment	experiment	VERB
cana-1120	122	16	.	.	PUNCT
cana-1120	123	1	in	in	ADP
cana-1120	123	2	practice	practice	NOUN
cana-1120	123	3	,	,	PUNCT
cana-1120	123	4	one	one	PRON
cana-1120	123	5	may	may	AUX
cana-1120	123	6	utilize	utilize	VERB
cana-1120	123	7	either	either	CCONJ
cana-1120	123	8	the	the	DET
cana-1120	123	9	forward	forward	ADJ
cana-1120	123	10	selection	selection	NOUN
cana-1120	123	11	or	or	CCONJ
cana-1120	123	12	the	the	DET
cana-1120	123	13	backward	backward	ADJ
cana-1120	123	14	selection	selection	NOUN
cana-1120	123	15	to	to	PART
cana-1120	123	16	locate	locate	VERB
cana-1120	123	17	the	the	DET
cana-1120	123	18	hidden	hide	VERB
cana-1120	123	19	layer	layer	NOUN
cana-1120	123	20	unit	unit	NOUN
cana-1120	123	21	.	.	PUNCT
cana-1120	124	1	to	to	PART
cana-1120	124	2	record	record	VERB
cana-1120	124	3	the	the	DET
cana-1120	124	4	network	network	NOUN
cana-1120	124	5	performance	performance	NOUN
cana-1120	124	6	,	,	PUNCT
cana-1120	124	7	a	a	DET
cana-1120	124	8	limited	limited	ADJ
cana-1120	124	9	number	number	NOUN
cana-1120	124	10	of	of	ADP
cana-1120	124	11	hidden	hide	VERB
cana-1120	124	12	neurons	neuron	NOUN
cana-1120	124	13	are	be	AUX
cana-1120	124	14	selected	select	VERB
cana-1120	124	15	by	by	ADP
cana-1120	124	16	the	the	DET
cana-1120	124	17	forward	forward	ADJ
cana-1120	124	18	selection	selection	NOUN
cana-1120	124	19	approach	approach	NOUN
cana-1120	124	20	,	,	PUNCT
cana-1120	124	21	which	which	PRON
cana-1120	124	22	computes	compute	VERB
cana-1120	124	23	the	the	DET
cana-1120	124	24	mae	mae	PROPN
cana-1120	124	25	,	,	PUNCT
cana-1120	124	26	mape	mape	NOUN
cana-1120	124	27	,	,	PUNCT
cana-1120	124	28	and	and	CCONJ
cana-1120	124	29	rmse	rmse	ADV
cana-1120	124	30	first	first	ADV
cana-1120	124	31	.	.	PUNCT
cana-1120	125	1	after	after	ADP
cana-1120	125	2	that	that	PRON
cana-1120	125	3	,	,	PUNCT
cana-1120	125	4	add	add	VERB
cana-1120	125	5	more	more	ADV
cana-1120	125	6	hidden	hidden	ADJ
cana-1120	125	7	neurons	neuron	NOUN
cana-1120	125	8	one	one	NUM
cana-1120	125	9	at	at	ADP
cana-1120	125	10	a	a	DET
cana-1120	125	11	time	time	NOUN
cana-1120	125	12	while	while	SCONJ
cana-1120	125	13	keeping	keep	VERB
cana-1120	125	14	up	up	ADP
cana-1120	125	15	the	the	DET
cana-1120	125	16	training	training	NOUN
cana-1120	125	17	and	and	CCONJ
cana-1120	125	18	testing	testing	NOUN
cana-1120	125	19	until	until	SCONJ
cana-1120	125	20	the	the	DET
cana-1120	125	21	error	error	NOUN
cana-1120	125	22	is	be	AUX
cana-1120	125	23	either	either	CCONJ
cana-1120	125	24	very	very	ADV
cana-1120	125	25	small	small	ADJ
cana-1120	125	26	or	or	CCONJ
cana-1120	125	27	there	there	PRON
cana-1120	125	28	is	be	VERB
cana-1120	125	29	no	no	DET
cana-1120	125	30	observable	observable	ADJ
cana-1120	125	31	improvement	improvement	NOUN
cana-1120	125	32	.	.	PUNCT
cana-1120	126	1	the	the	DET
cana-1120	126	2	neural	neural	ADJ
cana-1120	126	3	network	network	NOUN
cana-1120	126	4	model	model	NOUN
cana-1120	126	5	is	be	AUX
cana-1120	126	6	built	build	VERB
cana-1120	126	7	,	,	PUNCT
cana-1120	126	8	and	and	CCONJ
cana-1120	126	9	since	since	SCONJ
cana-1120	126	10	the	the	DET
cana-1120	126	11	chosen	choose	VERB
cana-1120	126	12	network	network	NOUN
cana-1120	126	13	has	have	VERB
cana-1120	126	14	the	the	DET
cana-1120	126	15	lowest	low	ADJ
cana-1120	126	16	mae	mae	PROPN
cana-1120	126	17	,	,	PUNCT
cana-1120	126	18	mape	mape	NOUN
cana-1120	126	19	,	,	PUNCT
cana-1120	126	20	and	and	CCONJ
cana-1120	126	21	rmse	rmse	NOUN
cana-1120	126	22	,	,	PUNCT
cana-1120	126	23	it	it	PRON
cana-1120	126	24	is	be	AUX
cana-1120	126	25	desirable	desirable	ADJ
cana-1120	126	26	to	to	PART
cana-1120	126	27	have	have	VERB
cana-1120	126	28	three	three	NUM
cana-1120	126	29	covered	cover	VERB
cana-1120	126	30	neurons	neuron	NOUN
cana-1120	126	31	in	in	ADP
cana-1120	126	32	the	the	DET
cana-1120	126	33	hidden	hide	VERB
cana-1120	126	34	layer	layer	NOUN
cana-1120	126	35	.	.	PUNCT
cana-1120	127	1	the	the	DET
cana-1120	127	2	optimal	optimal	ADJ
cana-1120	127	3	network	network	NOUN
cana-1120	127	4	is	be	AUX
cana-1120	127	5	1	1	NUM
cana-1120	127	6	-	-	SYM
cana-1120	127	7	31	31	NUM
cana-1120	127	8	.	.	PUNCT
cana-1120	128	1	the	the	DET
cana-1120	128	2	table	table	NOUN
cana-1120	128	3	below	below	ADV
cana-1120	128	4	shows	show	VERB
cana-1120	128	5	the	the	DET
cana-1120	128	6	activation	activation	NOUN
cana-1120	128	7	function	function	NOUN
cana-1120	128	8	,	,	PUNCT
cana-1120	128	9	number	number	NOUN
cana-1120	128	10	of	of	ADP
cana-1120	128	11	hidden	hidden	ADJ
cana-1120	128	12	layers	layer	NOUN
cana-1120	128	13	and	and	CCONJ
cana-1120	128	14	units	unit	NOUN
cana-1120	128	15	,	,	PUNCT
cana-1120	128	16	rescaling	rescaling	NOUN
cana-1120	128	17	technique	technique	NOUN
cana-1120	128	18	,	,	PUNCT
cana-1120	128	19	number	number	NOUN
cana-1120	128	20	of	of	ADP
cana-1120	128	21	input	input	NOUN
cana-1120	128	22	and	and	CCONJ
cana-1120	128	23	output	output	NOUN
cana-1120	128	24	units	unit	NOUN
cana-1120	128	25	,	,	PUNCT
cana-1120	128	26	and	and	CCONJ
cana-1120	128	27	dependent	dependent	ADJ
cana-1120	128	28	variable	variable	NOUN
cana-1120	128	29	.	.	PUNCT
cana-1120	129	1	table	table	NOUN
cana-1120	129	2	-3	-3	PUNCT
cana-1120	129	3	network	network	NOUN
cana-1120	129	4	information	information	NOUN
cana-1120	129	5	input	input	NOUN
cana-1120	129	6	layer	layer	NOUN
cana-1120	129	7	covariates	covariate	VERB
cana-1120	129	8	1	1	NUM
cana-1120	129	9	lag	lag	NOUN
cana-1120	129	10	number	number	NOUN
cana-1120	129	11	of	of	ADP
cana-1120	129	12	unitsa	unitsa	NOUN
cana-1120	129	13	1	1	NUM
cana-1120	129	14	rescaling	rescaling	NOUN
cana-1120	129	15	method	method	NOUN
cana-1120	129	16	for	for	ADP
cana-1120	129	17	covariates	covariate	NOUN
cana-1120	129	18	standardized	standardize	VERB
cana-1120	129	19	hidden	hide	VERB
cana-1120	129	20	layer(s	layer(s	NOUN
cana-1120	129	21	)	)	PUNCT
cana-1120	129	22	number	number	NOUN
cana-1120	129	23	of	of	ADP
cana-1120	129	24	hidden	hidden	ADJ
cana-1120	129	25	layers	layer	NOUN
cana-1120	129	26	1	1	NUM
cana-1120	129	27	number	number	NOUN
cana-1120	129	28	of	of	ADP
cana-1120	129	29	units	unit	NOUN
cana-1120	129	30	in	in	ADP
cana-1120	129	31	hidden	hide	VERB
cana-1120	129	32	layer	layer	NOUN
cana-1120	129	33	1a	1a	NOUN
cana-1120	129	34	3	3	NUM
cana-1120	129	35	activation	activation	NOUN
cana-1120	129	36	function	function	VERB
cana-1120	129	37	hyperbolic	hyperbolic	ADJ
cana-1120	129	38	tangent	tangent	NOUN
cana-1120	129	39	output	output	NOUN
cana-1120	129	40	layer	layer	NOUN
cana-1120	129	41	dependent	dependent	ADJ
cana-1120	129	42	variables	variable	VERB
cana-1120	129	43	1	1	NUM
cana-1120	129	44	platinum	platinum	NOUN
cana-1120	129	45	/	/	SYM
cana-1120	129	46	gram	gram	NOUN
cana-1120	129	47	number	number	NOUN
cana-1120	129	48	of	of	ADP
cana-1120	129	49	units	unit	NOUN
cana-1120	129	50	1	1	NUM
cana-1120	129	51	rescaling	rescaling	NOUN
cana-1120	129	52	method	method	NOUN
cana-1120	129	53	for	for	ADP
cana-1120	129	54	scale	scale	NOUN
cana-1120	129	55	dependents	dependent	NOUN
cana-1120	129	56	standardized	standardize	VERB
cana-1120	129	57	activation	activation	NOUN
cana-1120	129	58	function	function	NOUN
cana-1120	129	59	identity	identity	NOUN
cana-1120	129	60	error	error	NOUN
cana-1120	129	61	function	function	NOUN
cana-1120	129	62	sum	sum	NOUN
cana-1120	129	63	of	of	ADP
cana-1120	129	64	squares	square	NOUN
cana-1120	129	65	a.	a.	NOUN
cana-1120	129	66	excluding	exclude	VERB
cana-1120	129	67	the	the	DET
cana-1120	129	68	bias	bias	NOUN
cana-1120	129	69	unit	unit	NOUN
cana-1120	129	70	the	the	DET
cana-1120	129	71	feed	feed	NOUN
cana-1120	129	72	forward	forward	ADV
cana-1120	129	73	network	network	NOUN
cana-1120	129	74	diagram	diagram	NOUN
cana-1120	129	75	below	below	ADV
cana-1120	129	76	clearly	clearly	ADV
cana-1120	129	77	displays	display	VERB
cana-1120	129	78	the	the	DET
cana-1120	129	79	model	model	NOUN
cana-1120	129	80	that	that	PRON
cana-1120	129	81	was	be	AUX
cana-1120	129	82	selected	select	VERB
cana-1120	129	83	for	for	ADP
cana-1120	129	84	the	the	DET
cana-1120	129	85	given	give	VERB
cana-1120	129	86	data	datum	NOUN
cana-1120	129	87	.	.	PUNCT
cana-1120	130	1	communications	communication	NOUN
cana-1120	130	2	on	on	ADP
cana-1120	130	3	applied	apply	VERB
cana-1120	130	4	nonlinear	nonlinear	ADJ
cana-1120	130	5	analysis	analysis	NOUN
cana-1120	130	6	issn	issn	NOUN
cana-1120	130	7	:	:	PUNCT
cana-1120	130	8	1074	1074	NUM
cana-1120	130	9	-	-	PUNCT
cana-1120	130	10	133x	133x	NUM
cana-1120	130	11	vol	vol	NOUN
cana-1120	130	12	31	31	NUM
cana-1120	130	13	no	no	NOUN
cana-1120	130	14	.	.	PUNCT
cana-1120	131	1	6s	6s	NUM
cana-1120	131	2	(	(	PUNCT
cana-1120	131	3	2024	2024	NUM
cana-1120	131	4	)	)	PUNCT
cana-1120	131	5	68	68	NUM
cana-1120	131	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	131	7	figure	figure	NOUN
cana-1120	131	8	3.2.1	3.2.1	NUM
cana-1120	131	9	.	.	PUNCT
cana-1120	132	1	feed	feed	VERB
cana-1120	132	2	forward	forward	ADV
cana-1120	132	3	neural	neural	ADJ
cana-1120	132	4	network	network	NOUN
cana-1120	132	5	hidden	hide	VERB
cana-1120	132	6	layer	layer	NOUN
cana-1120	132	7	activation	activation	NOUN
cana-1120	132	8	function	function	NOUN
cana-1120	132	9	:	:	PUNCT
cana-1120	132	10	hyperbolic	hyperbolic	ADJ
cana-1120	132	11	tangent	tangent	NOUN
cana-1120	132	12	the	the	DET
cana-1120	132	13	table	table	NOUN
cana-1120	132	14	below	below	ADP
cana-1120	132	15	displays	display	VERB
cana-1120	132	16	the	the	DET
cana-1120	132	17	coefficient	coefficient	NOUN
cana-1120	132	18	estimates	estimate	VERB
cana-1120	132	19	that	that	PRON
cana-1120	132	20	illustrate	illustrate	VERB
cana-1120	132	21	the	the	DET
cana-1120	132	22	relationship	relationship	NOUN
cana-1120	132	23	between	between	ADP
cana-1120	132	24	the	the	DET
cana-1120	132	25	units	unit	NOUN
cana-1120	132	26	in	in	ADP
cana-1120	132	27	a	a	DET
cana-1120	132	28	certain	certain	ADJ
cana-1120	132	29	layer	layer	NOUN
cana-1120	132	30	and	and	CCONJ
cana-1120	132	31	the	the	DET
cana-1120	132	32	units	unit	NOUN
cana-1120	132	33	in	in	ADP
cana-1120	132	34	the	the	DET
cana-1120	132	35	year	year	NOUN
cana-1120	132	36	that	that	PRON
cana-1120	132	37	follows	follow	VERB
cana-1120	132	38	.	.	PUNCT
cana-1120	133	1	table4	table4	NOUN
cana-1120	134	1	:	:	PUNCT
cana-1120	134	2	parameter	parameter	PROPN
cana-1120	134	3	estimates	estimate	NOUN
cana-1120	134	4	predictor	predictor	NOUN
cana-1120	134	5	predicted	predict	VERB
cana-1120	134	6	hidden	hidden	ADJ
cana-1120	134	7	layer	layer	NOUN
cana-1120	134	8	1	1	NUM
cana-1120	134	9	output	output	NOUN
cana-1120	134	10	layer	layer	NOUN
cana-1120	134	11	h(1:1	h(1:1	NOUN
cana-1120	134	12	)	)	PUNCT
cana-1120	134	13	h(1:2	h(1:2	NOUN
cana-1120	134	14	)	)	PUNCT
cana-1120	134	15	h(1:3	h(1:3	NOUN
cana-1120	134	16	)	)	PUNCT
cana-1120	134	17	platinumgram	platinumgram	NOUN
cana-1120	134	18	input	input	NOUN
cana-1120	134	19	layer	layer	NOUN
cana-1120	134	20	(	(	PUNCT
cana-1120	134	21	bias	bias	NOUN
cana-1120	134	22	)	)	PUNCT
cana-1120	134	23	0.107	0.107	NUM
cana-1120	134	24	-0.393	-0.393	NUM
cana-1120	134	25	-0.176	-0.176	NOUN
cana-1120	134	26	lag	lag	NOUN
cana-1120	134	27	-0.304	-0.304	PUNCT
cana-1120	134	28	-0.303	-0.303	NOUN
cana-1120	134	29	0.347	0.347	NUM
cana-1120	134	30	hidden	hide	VERB
cana-1120	134	31	layer	layer	NOUN
cana-1120	134	32	1	1	NUM
cana-1120	134	33	(	(	PUNCT
cana-1120	134	34	bias	bias	NOUN
cana-1120	134	35	)	)	PUNCT
cana-1120	134	36	0.255	0.255	NUM
cana-1120	134	37	h(1:1	h(1:1	NOUN
cana-1120	134	38	)	)	PUNCT
cana-1120	134	39	-2.856	-2.856	NOUN
cana-1120	134	40	h(1:2	h(1:2	NOUN
cana-1120	134	41	)	)	PUNCT
cana-1120	134	42	-0.255	-0.255	PUNCT
cana-1120	134	43	h(1:3	h(1:3	NOUN
cana-1120	134	44	)	)	PUNCT
cana-1120	134	45	0.348	0.348	NUM
cana-1120	134	46	the	the	DET
cana-1120	134	47	proposed	propose	VERB
cana-1120	134	48	hidden	hide	VERB
cana-1120	134	49	activation	activation	NOUN
cana-1120	134	50	function	function	NOUN
cana-1120	134	51	is	be	AUX
cana-1120	134	52	h(1:1	h(1:1	NOUN
cana-1120	134	53	)	)	PUNCT
cana-1120	134	54	=	=	SYM
cana-1120	135	1	tanh(0.107	tanh(0.107	NOUN
cana-1120	135	2	-	-	PUNCT
cana-1120	135	3	0.304	0.304	NUM
cana-1120	135	4	z͠t-1	z͠t-1	NOUN
cana-1120	135	5	)	)	PUNCT
cana-1120	135	6	h(1:2	h(1:2	NOUN
cana-1120	135	7	)	)	PUNCT
cana-1120	135	8	=	=	SYM
cana-1120	136	1	tanh(-0.393	tanh(-0.393	NOUN
cana-1120	136	2	-	-	PUNCT
cana-1120	136	3	0.303	0.303	NUM
cana-1120	136	4	z͠t-1	z͠t-1	NOUN
cana-1120	136	5	)	)	PUNCT
cana-1120	136	6	h(1:3	h(1:3	NOUN
cana-1120	136	7	)	)	PUNCT
cana-1120	137	1	=	=	SYM
cana-1120	137	2	tanh(-0.176	tanh(-0.176	NOUN
cana-1120	137	3	+	+	NOUN
cana-1120	137	4	0.347	0.347	NUM
cana-1120	137	5	z͠t-1	z͠t-1	NOUN
cana-1120	137	6	)	)	PUNCT
cana-1120	137	7	where	where	SCONJ
cana-1120	137	8	z͠t-1	z͠t-1	PROPN
cana-1120	137	9	is	be	AUX
cana-1120	137	10	adjusted	adjust	VERB
cana-1120	137	11	input	input	NOUN
cana-1120	137	12	variable	variable	NOUN
cana-1120	137	13	and	and	CCONJ
cana-1120	137	14	the	the	DET
cana-1120	137	15	forecasting	forecasting	NOUN
cana-1120	137	16	model	model	NOUN
cana-1120	137	17	is	be	AUX
cana-1120	137	18	determined	determine	VERB
cana-1120	137	19	by	by	ADP
cana-1120	137	20	ẑt	ẑt	NOUN
cana-1120	137	21	=	=	PRON
cana-1120	137	22	µt	µt	PROPN
cana-1120	137	23	+	+	PROPN
cana-1120	137	24	σ	σ	PROPN
cana-1120	137	25	t	t	PROPN
cana-1120	137	26	(	(	PUNCT
cana-1120	137	27	0.255	0.255	NUM
cana-1120	137	28	-	-	SYM
cana-1120	137	29	2.856	2.856	NUM
cana-1120	137	30	h	h	NOUN
cana-1120	137	31	(	(	PUNCT
cana-1120	137	32	1,1	1,1	NUM
cana-1120	137	33	)	)	PUNCT
cana-1120	137	34	2.255	2.255	NUM
cana-1120	137	35	h	h	NOUN
cana-1120	137	36	(	(	PUNCT
cana-1120	137	37	1,2	1,2	NUM
cana-1120	137	38	)	)	PUNCT
cana-1120	137	39	+0.348	+0.348	ADJ
cana-1120	137	40	h	h	NOUN
cana-1120	137	41	(	(	PUNCT
cana-1120	137	42	1,3	1,3	NUM
cana-1120	137	43	)	)	PUNCT
cana-1120	137	44	)	)	PUNCT
cana-1120	138	1	the	the	DET
cana-1120	138	2	performance	performance	NOUN
cana-1120	138	3	summary	summary	NOUN
cana-1120	138	4	of	of	ADP
cana-1120	138	5	the	the	DET
cana-1120	138	6	model	model	NOUN
cana-1120	138	7	for	for	ADP
cana-1120	138	8	the	the	DET
cana-1120	138	9	fitting	fitting	ADJ
cana-1120	138	10	and	and	CCONJ
cana-1120	138	11	forecasting	forecasting	NOUN
cana-1120	138	12	phases	phase	NOUN
cana-1120	138	13	is	be	AUX
cana-1120	138	14	given	give	VERB
cana-1120	138	15	in	in	ADP
cana-1120	138	16	the	the	DET
cana-1120	138	17	following	follow	VERB
cana-1120	138	18	table	table	NOUN
cana-1120	138	19	.	.	PUNCT
cana-1120	139	1	table	table	NOUN
cana-1120	139	2	–	–	PUNCT
cana-1120	139	3	5	5	NUM
cana-1120	139	4	ffnn	ffnn	NOUN
cana-1120	139	5	(	(	PUNCT
cana-1120	139	6	1	1	NUM
cana-1120	139	7	,	,	PUNCT
cana-1120	139	8	3	3	NUM
cana-1120	139	9	,	,	PUNCT
cana-1120	139	10	1	1	X
cana-1120	139	11	)	)	PUNCT
cana-1120	139	12	model	model	NOUN
cana-1120	139	13	performances	performance	NOUN
cana-1120	139	14	data	data	NOUN
cana-1120	139	15	sets	set	VERB
cana-1120	139	16	mae	mae	PROPN
cana-1120	139	17	mape	mape	PROPN
cana-1120	139	18	rmse	rmse	PROPN
cana-1120	139	19	in	in	ADP
cana-1120	139	20	sample	sample	NOUN
cana-1120	139	21	22.568	22.568	NUM
cana-1120	139	22	0.756	0.756	NUM
cana-1120	139	23	31.257	31.257	NUM
cana-1120	139	24	out	out	ADP
cana-1120	139	25	sample	sample	NOUN
cana-1120	139	26	20.450	20.450	NUM
cana-1120	139	27	0702	0702	NUM
cana-1120	139	28	22.848	22.848	NUM
cana-1120	139	29	the	the	DET
cana-1120	139	30	above	above	ADJ
cana-1120	139	31	table	table	NOUN
cana-1120	139	32	shows	show	VERB
cana-1120	139	33	that	that	SCONJ
cana-1120	139	34	the	the	DET
cana-1120	139	35	ffnn	ffnn	NOUN
cana-1120	139	36	model	model	NOUN
cana-1120	139	37	predicting	predict	VERB
cana-1120	139	38	and	and	CCONJ
cana-1120	139	39	fitting	fitting	ADJ
cana-1120	139	40	phases	phase	NOUN
cana-1120	139	41	have	have	VERB
cana-1120	139	42	lower	low	ADJ
cana-1120	139	43	error	error	NOUN
cana-1120	139	44	measures	measure	NOUN
cana-1120	139	45	.	.	PUNCT
cana-1120	140	1	the	the	DET
cana-1120	140	2	ffnn	ffnn	NOUN
cana-1120	140	3	model	model	NOUN
cana-1120	140	4	is	be	AUX
cana-1120	140	5	appropriate	appropriate	ADJ
cana-1120	140	6	for	for	ADP
cana-1120	140	7	forecasting	forecast	VERB
cana-1120	140	8	platinum	platinum	NOUN
cana-1120	140	9	prices	price	NOUN
cana-1120	140	10	since	since	SCONJ
cana-1120	140	11	its	its	PRON
cana-1120	140	12	mape	mape	NOUN
cana-1120	140	13	is	be	AUX
cana-1120	140	14	less	less	ADJ
cana-1120	140	15	than	than	ADP
cana-1120	140	16	five	five	NUM
cana-1120	140	17	.	.	PUNCT
cana-1120	141	1	communications	communication	NOUN
cana-1120	141	2	on	on	ADP
cana-1120	141	3	applied	apply	VERB
cana-1120	141	4	nonlinear	nonlinear	ADJ
cana-1120	141	5	analysis	analysis	NOUN
cana-1120	141	6	issn	issn	NOUN
cana-1120	141	7	:	:	PUNCT
cana-1120	141	8	1074	1074	NUM
cana-1120	141	9	-	-	PUNCT
cana-1120	141	10	133x	133x	NUM
cana-1120	141	11	vol	vol	NOUN
cana-1120	141	12	31	31	NUM
cana-1120	141	13	no	no	NOUN
cana-1120	141	14	.	.	PUNCT
cana-1120	142	1	6s	6s	NUM
cana-1120	142	2	(	(	PUNCT
cana-1120	142	3	2024	2024	NUM
cana-1120	142	4	)	)	PUNCT
cana-1120	142	5	69	69	NUM
cana-1120	142	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1120	142	7	3.3	3.3	NUM
cana-1120	142	8	platinum	platinum	NOUN
cana-1120	142	9	price	price	NOUN
cana-1120	142	10	prediction	prediction	NOUN
cana-1120	142	11	by	by	ADP
cana-1120	142	12	hybrid	hybrid	ADJ
cana-1120	142	13	model	model	NOUN
cana-1120	142	14	for	for	ADP
cana-1120	142	15	creating	create	VERB
cana-1120	142	16	the	the	DET
cana-1120	142	17	hybrid	hybrid	ADJ
cana-1120	142	18	model	model	NOUN
cana-1120	142	19	,	,	PUNCT
cana-1120	142	20	the	the	DET
cana-1120	142	21	linear	linear	ADJ
cana-1120	142	22	component	component	NOUN
cana-1120	142	23	of	of	ADP
cana-1120	142	24	the	the	DET
cana-1120	142	25	arima	arima	NOUN
cana-1120	142	26	model	model	NOUN
cana-1120	142	27	can	can	AUX
cana-1120	142	28	be	be	AUX
cana-1120	142	29	used	use	VERB
cana-1120	142	30	,	,	PUNCT
cana-1120	142	31	and	and	CCONJ
cana-1120	142	32	the	the	DET
cana-1120	142	33	residuals	residual	NOUN
cana-1120	142	34	from	from	ADP
cana-1120	142	35	the	the	DET
cana-1120	142	36	linear	linear	ADJ
cana-1120	142	37	model	model	NOUN
cana-1120	142	38	will	will	AUX
cana-1120	142	39	then	then	ADV
cana-1120	142	40	only	only	ADV
cana-1120	142	41	include	include	VERB
cana-1120	142	42	the	the	DET
cana-1120	142	43	nonlinearity	nonlinearity	NOUN
cana-1120	142	44	connection	connection	NOUN
cana-1120	142	45	.	.	PUNCT
cana-1120	143	1	once	once	ADV
cana-1120	143	2	the	the	DET
cana-1120	143	3	predicted	predict	VERB
cana-1120	143	4	values	value	NOUN
cana-1120	143	5	for	for	ADP
cana-1120	143	6	the	the	DET
cana-1120	143	7	linear	linear	ADJ
cana-1120	143	8	component	component	NOUN
cana-1120	143	9	values	value	NOUN
cana-1120	143	10	of	of	ADP
cana-1120	143	11	arima	arima	PROPN
cana-1120	143	12	of	of	ADP
cana-1120	143	13	(	(	PUNCT
cana-1120	143	14	0	0	NUM
cana-1120	143	15	,	,	PUNCT
cana-1120	143	16	1	1	NUM
cana-1120	143	17	,	,	PUNCT
cana-1120	143	18	1	1	NUM
cana-1120	143	19	)	)	PUNCT
cana-1120	143	20	have	have	AUX
cana-1120	143	21	been	be	AUX
cana-1120	143	22	determined	determine	VERB
cana-1120	143	23	,	,	PUNCT
cana-1120	143	24	the	the	DET
cana-1120	143	25	residual	residual	ADJ
cana-1120	143	26	values	value	NOUN
cana-1120	143	27	are	be	AUX
cana-1120	143	28	added	add	VERB
cana-1120	143	29	to	to	ADP
cana-1120	143	30	the	the	DET
cana-1120	143	31	ffnn	ffnn	NOUN
cana-1120	143	32	model	model	NOUN
cana-1120	143	33	using	use	VERB
cana-1120	143	34	spss	spss	PROPN
cana-1120	143	35	.	.	PUNCT
cana-1120	144	1	the	the	DET
cana-1120	144	2	neural	neural	ADJ
cana-1120	144	3	network	network	NOUN
cana-1120	144	4	model	model	NOUN
cana-1120	144	5	for	for	ADP
cana-1120	144	6	residuals	residual	NOUN
cana-1120	144	7	is	be	AUX
cana-1120	144	8	built	build	VERB
cana-1120	144	9	,	,	PUNCT
cana-1120	144	10	and	and	CCONJ
cana-1120	144	11	since	since	SCONJ
cana-1120	144	12	the	the	DET
cana-1120	144	13	chosen	choose	VERB
cana-1120	144	14	network	network	NOUN
cana-1120	144	15	has	have	VERB
cana-1120	144	16	the	the	DET
cana-1120	144	17	lowest	low	ADJ
cana-1120	144	18	mae	mae	PROPN
cana-1120	144	19	,	,	PUNCT
cana-1120	144	20	mape	mape	NOUN
cana-1120	144	21	,	,	PUNCT
cana-1120	144	22	and	and	CCONJ
cana-1120	144	23	rmse	rmse	NOUN
cana-1120	144	24	,	,	PUNCT
cana-1120	144	25	it	it	PRON
cana-1120	144	26	is	be	AUX
cana-1120	144	27	desirable	desirable	ADJ
cana-1120	144	28	to	to	PART
cana-1120	144	29	have	have	VERB
cana-1120	144	30	three	three	NUM
cana-1120	144	31	covered	cover	VERB
cana-1120	144	32	neurons	neuron	NOUN
cana-1120	144	33	in	in	ADP
cana-1120	144	34	the	the	DET
cana-1120	144	35	hidden	hide	VERB
cana-1120	144	36	layer	layer	NOUN
cana-1120	144	37	.	.	PUNCT
cana-1120	145	1	the	the	DET
cana-1120	145	2	optimal	optimal	ADJ
cana-1120	145	3	network	network	NOUN
cana-1120	145	4	is	be	AUX
cana-1120	145	5	1	1	NUM
cana-1120	145	6	-	-	SYM
cana-1120	145	7	3	3	NUM
cana-1120	145	8	-	-	SYM
cana-1120	145	9	1	1	NUM
cana-1120	145	10	.	.	PUNCT
cana-1120	146	1	the	the	DET
cana-1120	146	2	table	table	NOUN
cana-1120	146	3	below	below	ADV
cana-1120	146	4	shows	show	VERB
cana-1120	146	5	the	the	DET
cana-1120	146	6	activation	activation	NOUN
cana-1120	146	7	function	function	NOUN
cana-1120	146	8	,	,	PUNCT
cana-1120	146	9	number	number	NOUN
cana-1120	146	10	of	of	ADP
cana-1120	146	11	hidden	hidden	ADJ
cana-1120	146	12	layers	layer	NOUN
cana-1120	146	13	and	and	CCONJ
cana-1120	146	14	units	unit	NOUN
cana-1120	146	15	,	,	PUNCT
cana-1120	146	16	rescaling	rescaling	NOUN
cana-1120	146	17	technique	technique	NOUN
cana-1120	146	18	,	,	PUNCT
cana-1120	146	19	number	number	NOUN
cana-1120	146	20	of	of	ADP
cana-1120	146	21	input	input	NOUN
cana-1120	146	22	and	and	CCONJ
cana-1120	146	23	output	output	NOUN
cana-1120	146	24	units	unit	NOUN
cana-1120	146	25	,	,	PUNCT
cana-1120	146	26	and	and	CCONJ
cana-1120	146	27	dependent	dependent	ADJ
cana-1120	146	28	variable	variable	NOUN
cana-1120	146	29	.	.	PUNCT
cana-1120	147	1	table	table	NOUN
cana-1120	148	1	-6	-6	ADP
cana-1120	148	2	network	network	NOUN
cana-1120	148	3	information	information	NOUN
cana-1120	148	4	input	input	NOUN
cana-1120	148	5	layer	layer	NOUN
cana-1120	148	6	covariates	covariate	VERB
cana-1120	148	7	1	1	NUM
cana-1120	148	8	lagerr	lagerr	NOUN
cana-1120	148	9	number	number	NOUN
cana-1120	148	10	of	of	ADP
cana-1120	148	11	unitsa	unitsa	NOUN
cana-1120	148	12	1	1	NUM
cana-1120	148	13	rescaling	rescaling	NOUN
cana-1120	148	14	method	method	NOUN
cana-1120	148	15	for	for	ADP
cana-1120	148	16	covariates	covariate	NOUN
cana-1120	148	17	standardized	standardize	VERB
cana-1120	148	18	hidden	hide	VERB
cana-1120	148	19	layer(s	layer(s	NOUN
cana-1120	148	20	)	)	PUNCT
cana-1120	148	21	number	number	NOUN
cana-1120	148	22	of	of	ADP
cana-1120	148	23	hidden	hidden	ADJ
cana-1120	148	24	layers	layer	NOUN
cana-1120	148	25	1	1	NUM
cana-1120	148	26	number	number	NOUN
cana-1120	148	27	of	of	ADP
cana-1120	148	28	units	unit	NOUN
cana-1120	148	29	in	in	ADP
cana-1120	148	30	hidden	hide	VERB
cana-1120	148	31	layer	layer	NOUN
cana-1120	148	32	1a	1a	NOUN
cana-1120	148	33	3	3	NUM
cana-1120	148	34	activation	activation	NOUN
cana-1120	148	35	function	function	VERB
cana-1120	148	36	hyperbolic	hyperbolic	ADJ
cana-1120	148	37	tangent	tangent	NOUN
cana-1120	148	38	output	output	NOUN
cana-1120	148	39	layer	layer	NOUN
cana-1120	148	40	dependent	dependent	ADJ
cana-1120	148	41	variables	variable	NOUN
cana-1120	148	42	1	1	NUM
cana-1120	148	43	err	err	NOUN
cana-1120	148	44	number	number	NOUN
cana-1120	148	45	of	of	ADP
cana-1120	148	46	units	unit	NOUN
cana-1120	148	47	1	1	NUM
cana-1120	148	48	rescaling	rescaling	NOUN
cana-1120	148	49	method	method	NOUN
cana-1120	148	50	for	for	ADP
cana-1120	148	51	scale	scale	NOUN
cana-1120	148	52	dependents	dependent	NOUN
cana-1120	148	53	standardized	standardize	VERB
cana-1120	148	54	activation	activation	NOUN
cana-1120	148	55	function	function	NOUN
cana-1120	148	56	identity	identity	NOUN
cana-1120	148	57	error	error	NOUN
cana-1120	148	58	function	function	NOUN
cana-1120	148	59	sum	sum	NOUN
cana-1120	148	60	of	of	ADP
cana-1120	148	61	squares	square	NOUN
cana-1120	148	62	a.	a.	NOUN
cana-1120	148	63	excluding	exclude	VERB
cana-1120	148	64	the	the	DET
cana-1120	148	65	bias	bias	NOUN
cana-1120	148	66	unit	unit	NOUN
cana-1120	148	67	the	the	DET
cana-1120	148	68	feed	feed	NOUN
cana-1120	148	69	forward	forward	ADV
cana-1120	148	70	network	network	NOUN
cana-1120	148	71	diagram	diagram	NOUN
cana-1120	148	72	below	below	ADV
cana-1120	148	73	clearly	clearly	ADV
cana-1120	148	74	displays	display	VERB
cana-1120	148	75	the	the	DET
cana-1120	148	76	model	model	NOUN
cana-1120	148	77	that	that	PRON
cana-1120	148	78	was	be	AUX
cana-1120	148	79	selected	select	VERB
cana-1120	148	80	for	for	ADP
cana-1120	148	81	the	the	DET
cana-1120	148	82	given	give	VERB
cana-1120	148	83	data	datum	NOUN
cana-1120	148	84	.	.	PUNCT
cana-1120	149	1	figure	figure	NOUN
cana-1120	149	2	–	–	PUNCT
cana-1120	149	3	3.3.1	3.3.1	X
cana-1120	149	4	.	.	PUNCT
cana-1120	149	5	feed	feed	VERB
cana-1120	149	6	forward	forward	ADV
cana-1120	149	7	neural	neural	ADJ
cana-1120	149	8	network	network	NOUN
cana-1120	149	9	model	model	NOUN
cana-1120	149	10	hidden	hide	VERB
cana-1120	149	11	layer	layer	NOUN
cana-1120	149	12	activation	activation	NOUN
cana-1120	149	13	function	function	NOUN
cana-1120	149	14	:	:	PUNCT
cana-1120	149	15	hyperbolic	hyperbolic	ADJ
cana-1120	149	16	tangent	tangent	NOUN
cana-1120	149	17	the	the	DET
cana-1120	149	18	table	table	NOUN
cana-1120	149	19	below	below	ADP
cana-1120	149	20	displays	display	VERB
cana-1120	149	21	the	the	DET
cana-1120	149	22	coefficient	coefficient	NOUN
cana-1120	149	23	estimates	estimate	VERB
cana-1120	149	24	that	that	PRON
cana-1120	149	25	illustrate	illustrate	VERB
cana-1120	149	26	the	the	DET
cana-1120	149	27	relationship	relationship	NOUN
cana-1120	149	28	between	between	ADP
cana-1120	149	29	the	the	DET
cana-1120	149	30	units	unit	NOUN
cana-1120	149	31	in	in	ADP
cana-1120	149	32	a	a	DET
cana-1120	149	33	certain	certain	ADJ
cana-1120	149	34	layer	layer	NOUN
cana-1120	149	35	and	and	CCONJ
cana-1120	149	36	the	the	DET
cana-1120	149	37	units	unit	NOUN
cana-1120	149	38	in	in	ADP
cana-1120	149	39	the	the	DET
cana-1120	149	40	year	year	NOUN
cana-1120	149	41	that	that	PRON
cana-1120	149	42	follows	follow	VERB
cana-1120	149	43	.	.	PUNCT
cana-1120	150	1	communications	communication	NOUN
cana-1120	150	2	on	on	ADP
cana-1120	150	3	applied	apply	VERB
cana-1120	150	4	nonlinear	nonlinear	ADJ
cana-1120	150	5	analysis	analysis	NOUN
cana-1120	150	6	issn	issn	NOUN
cana-1120	150	7	:	:	PUNCT
cana-1120	150	8	1074	1074	NUM
cana-1120	150	9	-	-	PUNCT
cana-1120	150	10	133x	133x	NUM
cana-1120	150	11	vol	vol	NOUN
cana-1120	150	12	31	31	NUM
cana-1120	150	13	no	no	NOUN
cana-1120	150	14	.	.	PUNCT
cana-1120	151	1	6s	6s	NUM
cana-1120	151	2	(	(	PUNCT
cana-1120	151	3	2024	2024	NUM
cana-1120	151	4	)	)	PUNCT
cana-1120	151	5	70	70	NUM
cana-1120	151	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	151	7	table	table	NOUN
cana-1120	151	8	7	7	NUM
cana-1120	151	9	parameter	parameter	NOUN
cana-1120	151	10	estimates	estimate	NOUN
cana-1120	151	11	predicted	predict	VERB
cana-1120	151	12	hidden	hidden	ADJ
cana-1120	151	13	layer	layer	NOUN
cana-1120	151	14	1	1	NUM
cana-1120	151	15	output	output	NOUN
cana-1120	151	16	layer	layer	NOUN
cana-1120	151	17	h(1:1	h(1:1	NOUN
cana-1120	151	18	)	)	PUNCT
cana-1120	151	19	h(1:2	h(1:2	NOUN
cana-1120	151	20	)	)	PUNCT
cana-1120	151	21	h(1:3	h(1:3	NOUN
cana-1120	151	22	)	)	PUNCT
cana-1120	152	1	err	err	NOUN
cana-1120	152	2	input	input	NOUN
cana-1120	152	3	layer	layer	NOUN
cana-1120	152	4	(	(	PUNCT
cana-1120	152	5	bias	bias	NOUN
cana-1120	152	6	)	)	PUNCT
cana-1120	152	7	-0.646	-0.646	X
cana-1120	152	8	0	0	NUM
cana-1120	152	9	..	..	SYM
cana-1120	152	10	175	175	NUM
cana-1120	153	1	-0.318	-0.318	NUM
cana-1120	153	2	lagerr	lagerr	ADP
cana-1120	153	3	0.356	0.356	NUM
cana-1120	153	4	0.747	0.747	NUM
cana-1120	153	5	0.386	0.386	NUM
cana-1120	153	6	hidden	hide	VERB
cana-1120	153	7	layer	layer	NOUN
cana-1120	153	8	1	1	NUM
cana-1120	153	9	(	(	PUNCT
cana-1120	153	10	bias	bias	NOUN
cana-1120	153	11	)	)	PUNCT
cana-1120	153	12	-0421	-0421	PROPN
cana-1120	153	13	h(1:1	h(1:1	NOUN
cana-1120	153	14	)	)	PUNCT
cana-1120	153	15	-0.635	-0.635	ADP
cana-1120	153	16	h(1:2	h(1:2	NOUN
cana-1120	153	17	)	)	PUNCT
cana-1120	153	18	0.451	0.451	NUM
cana-1120	153	19	h(1:3	h(1:3	NOUN
cana-1120	153	20	)	)	PUNCT
cana-1120	153	21	.-0.171	.-0.171	PUNCT
cana-1120	154	1	the	the	DET
cana-1120	154	2	suggested	suggest	VERB
cana-1120	154	3	hidden	hide	VERB
cana-1120	154	4	activation	activation	NOUN
cana-1120	154	5	function	function	NOUN
cana-1120	154	6	is	be	AUX
cana-1120	154	7	h	h	NOUN
cana-1120	154	8	(	(	PUNCT
cana-1120	154	9	1:1	1:1	NUM
cana-1120	154	10	)	)	PUNCT
cana-1120	154	11	=	=	SYM
cana-1120	154	12	tanh	tanh	NOUN
cana-1120	154	13	(	(	PUNCT
cana-1120	154	14	-0.646	-0.646	PROPN
cana-1120	154	15	+	+	NOUN
cana-1120	154	16	0.356	0.356	NUM
cana-1120	154	17	e͠t-1	e͠t-1	ADJ
cana-1120	154	18	)	)	PUNCT
cana-1120	154	19	h	h	NOUN
cana-1120	154	20	(	(	PUNCT
cana-1120	154	21	1:2	1:2	NUM
cana-1120	154	22	)	)	PUNCT
cana-1120	154	23	=	=	SYM
cana-1120	154	24	tanh	tanh	PROPN
cana-1120	154	25	(	(	PUNCT
cana-1120	154	26	0.175	0.175	NUM
cana-1120	154	27	+	+	NOUN
cana-1120	154	28	0.747	0.747	NUM
cana-1120	154	29	e͠t-1	e͠t-1	ADJ
cana-1120	154	30	)	)	PUNCT
cana-1120	154	31	h	h	NOUN
cana-1120	154	32	(	(	PUNCT
cana-1120	154	33	1:3	1:3	NUM
cana-1120	154	34	)	)	PUNCT
cana-1120	154	35	=	=	SYM
cana-1120	154	36	tanh	tanh	NOUN
cana-1120	154	37	(	(	PUNCT
cana-1120	154	38	-0.318	-0.318	PROPN
cana-1120	154	39	+	+	ADJ
cana-1120	154	40	0.386	0.386	NUM
cana-1120	154	41	e͠t-1	e͠t-1	NOUN
cana-1120	154	42	)	)	PUNCT
cana-1120	154	43	where	where	SCONJ
cana-1120	154	44	e͠t-1	e͠t-1	PROPN
cana-1120	154	45	is	be	AUX
cana-1120	154	46	adjusted	adjust	VERB
cana-1120	154	47	input	input	NOUN
cana-1120	154	48	variable	variable	NOUN
cana-1120	154	49	and	and	CCONJ
cana-1120	154	50	the	the	DET
cana-1120	154	51	forecasting	forecasting	NOUN
cana-1120	154	52	model	model	NOUN
cana-1120	154	53	is	be	AUX
cana-1120	154	54	determined	determine	VERB
cana-1120	154	55	by	by	ADP
cana-1120	154	56	t	t	PROPN
cana-1120	154	57	=	=	PRON
cana-1120	154	58	µt	µt	PROPN
cana-1120	154	59	+	+	PROPN
cana-1120	154	60	σ	σ	PROPN
cana-1120	154	61	t	t	PROPN
cana-1120	154	62	(	(	PUNCT
cana-1120	154	63	-0.421	-0.421	NOUN
cana-1120	154	64	-	-	PUNCT
cana-1120	154	65	0.635	0.635	NUM
cana-1120	154	66	h	h	NOUN
cana-1120	154	67	(	(	PUNCT
cana-1120	154	68	1,1	1,1	NUM
cana-1120	154	69	)	)	PUNCT
cana-1120	154	70	+0.451	+0.451	NOUN
cana-1120	154	71	h	h	NOUN
cana-1120	154	72	(	(	PUNCT
cana-1120	154	73	1,2	1,2	NUM
cana-1120	154	74	)	)	PUNCT
cana-1120	154	75	-0.171	-0.171	VERB
cana-1120	154	76	h	h	NOUN
cana-1120	154	77	(	(	PUNCT
cana-1120	154	78	1,3	1,3	NUM
cana-1120	154	79	)	)	PUNCT
cana-1120	154	80	)	)	PUNCT
cana-1120	155	1	the	the	DET
cana-1120	155	2	performance	performance	NOUN
cana-1120	155	3	summary	summary	NOUN
cana-1120	155	4	of	of	ADP
cana-1120	155	5	the	the	DET
cana-1120	155	6	model	model	NOUN
cana-1120	155	7	for	for	ADP
cana-1120	155	8	the	the	DET
cana-1120	155	9	fitting	fitting	ADJ
cana-1120	155	10	and	and	CCONJ
cana-1120	155	11	forecasting	forecasting	NOUN
cana-1120	155	12	phases	phase	NOUN
cana-1120	155	13	is	be	AUX
cana-1120	155	14	given	give	VERB
cana-1120	155	15	in	in	ADP
cana-1120	155	16	the	the	DET
cana-1120	155	17	following	follow	VERB
cana-1120	155	18	table	table	NOUN
cana-1120	155	19	.	.	PUNCT
cana-1120	156	1	table	table	NOUN
cana-1120	156	2	–	–	PUNCT
cana-1120	156	3	8	8	NUM
cana-1120	156	4	hybrid	hybrid	NOUN
cana-1120	156	5	(	(	PUNCT
cana-1120	156	6	1	1	NUM
cana-1120	156	7	,	,	PUNCT
cana-1120	156	8	3	3	NUM
cana-1120	156	9	,	,	PUNCT
cana-1120	156	10	1	1	X
cana-1120	156	11	)	)	PUNCT
cana-1120	156	12	model	model	NOUN
cana-1120	156	13	performances	performance	NOUN
cana-1120	156	14	data	data	NOUN
cana-1120	156	15	sets	set	VERB
cana-1120	156	16	mae	mae	PROPN
cana-1120	156	17	mape	mape	PROPN
cana-1120	156	18	rmse	rmse	PROPN
cana-1120	156	19	in	in	ADP
cana-1120	156	20	sample	sample	NOUN
cana-1120	156	21	3.306	3.306	NUM
cana-1120	156	22	0.131	0.131	NUM
cana-1120	156	23	3.825	3.825	NUM
cana-1120	156	24	out	out	ADP
cana-1120	156	25	sample	sample	NOUN
cana-1120	156	26	3.705	3.705	NUM
cana-1120	156	27	0.153	0.153	NUM
cana-1120	156	28	4.875	4.875	NUM
cana-1120	156	29	4	4	NUM
cana-1120	156	30	.	.	PUNCT
cana-1120	156	31	comparison	comparison	NOUN
cana-1120	156	32	of	of	ADP
cana-1120	156	33	arima	arima	PROPN
cana-1120	156	34	,	,	PUNCT
cana-1120	156	35	ffnn	ffnn	NOUN
cana-1120	156	36	and	and	CCONJ
cana-1120	156	37	hybrid	hybrid	NOUN
cana-1120	156	38	models	model	NOUN
cana-1120	156	39	the	the	DET
cana-1120	156	40	prediction	prediction	NOUN
cana-1120	156	41	performance	performance	NOUN
cana-1120	156	42	results	result	NOUN
cana-1120	156	43	for	for	ADP
cana-1120	156	44	arima	arima	PROPN
cana-1120	156	45	,	,	PUNCT
cana-1120	156	46	ann	ann	PROPN
cana-1120	156	47	,	,	PUNCT
cana-1120	156	48	and	and	CCONJ
cana-1120	156	49	hybrid	hybrid	NOUN
cana-1120	156	50	models	model	NOUN
cana-1120	156	51	are	be	AUX
cana-1120	156	52	shown	show	VERB
cana-1120	156	53	in	in	ADP
cana-1120	156	54	table	table	NOUN
cana-1120	156	55	9	9	NUM
cana-1120	156	56	in	in	ADP
cana-1120	156	57	terms	term	NOUN
cana-1120	156	58	of	of	ADP
cana-1120	156	59	mse	mse	PROPN
cana-1120	156	60	,	,	PUNCT
cana-1120	156	61	mae	mae	PROPN
cana-1120	156	62	,	,	PUNCT
cana-1120	156	63	and	and	CCONJ
cana-1120	156	64	mape	mape	NOUN
cana-1120	156	65	.	.	PUNCT
cana-1120	157	1	below	below	ADP
cana-1120	157	2	table	table	NOUN
cana-1120	157	3	9	9	NUM
cana-1120	157	4	indicates	indicate	VERB
cana-1120	157	5	that	that	SCONJ
cana-1120	157	6	hybrid	hybrid	NOUN
cana-1120	157	7	models	model	NOUN
cana-1120	157	8	have	have	AUX
cana-1120	157	9	outperformed	outperform	VERB
cana-1120	157	10	other	other	ADJ
cana-1120	157	11	models	model	NOUN
cana-1120	157	12	with	with	ADP
cana-1120	157	13	regard	regard	NOUN
cana-1120	157	14	to	to	ADP
cana-1120	157	15	of	of	ADP
cana-1120	157	16	errors	error	NOUN
cana-1120	157	17	measurements	measurement	NOUN
cana-1120	157	18	.	.	PUNCT
cana-1120	158	1	this	this	PRON
cana-1120	158	2	would	would	AUX
cana-1120	158	3	imply	imply	VERB
cana-1120	158	4	that	that	SCONJ
cana-1120	158	5	not	not	PART
cana-1120	158	6	all	all	PRON
cana-1120	158	7	of	of	ADP
cana-1120	158	8	the	the	DET
cana-1120	158	9	patterns	pattern	NOUN
cana-1120	158	10	in	in	ADP
cana-1120	158	11	the	the	DET
cana-1120	158	12	data	datum	NOUN
cana-1120	158	13	are	be	AUX
cana-1120	158	14	captured	capture	VERB
cana-1120	158	15	by	by	ADP
cana-1120	158	16	either	either	CCONJ
cana-1120	158	17	the	the	DET
cana-1120	158	18	arima	arima	NOUN
cana-1120	158	19	or	or	CCONJ
cana-1120	158	20	the	the	DET
cana-1120	158	21	ann	ann	PROPN
cana-1120	158	22	model	model	NOUN
cana-1120	158	23	.	.	PUNCT
cana-1120	159	1	table	table	NOUN
cana-1120	159	2	9	9	NUM
cana-1120	159	3	forecasting	forecasting	NOUN
cana-1120	159	4	performance	performance	NOUN
cana-1120	159	5	of	of	ADP
cana-1120	159	6	arima	arima	NOUN
cana-1120	159	7	,	,	PUNCT
cana-1120	159	8	ffnn	ffnn	NOUN
cana-1120	159	9	and	and	CCONJ
cana-1120	159	10	hybrid	hybrid	NOUN
cana-1120	159	11	models	model	NOUN
cana-1120	159	12	model	model	PROPN
cana-1120	159	13	rmse	rmse	PROPN
cana-1120	159	14	mae	mae	PROPN
cana-1120	159	15	mape	mape	PROPN
cana-1120	159	16	arima	arima	PROPN
cana-1120	159	17	34.794	34.794	NUM
cana-1120	160	1	22.138	22.138	NUM
cana-1120	160	2	0.912	0.912	NUM
cana-1120	160	3	ffnn	ffnn	NOUN
cana-1120	160	4	22.848	22.848	NUM
cana-1120	160	5	20.45	20.45	NUM
cana-1120	160	6	0.702	0.702	NUM
cana-1120	160	7	hybrid	hybrid	ADJ
cana-1120	160	8	3.825	3.825	NUM
cana-1120	160	9	3.306	3.306	NUM
cana-1120	160	10	0.131	0.131	NUM
cana-1120	160	11	the	the	DET
cana-1120	160	12	forecasts	forecast	NOUN
cana-1120	160	13	from	from	ADP
cana-1120	160	14	arima	arima	PROPN
cana-1120	160	15	,	,	PUNCT
cana-1120	160	16	ffnn	ffnn	NOUN
cana-1120	160	17	and	and	CCONJ
cana-1120	160	18	hybrid	hybrid	NOUN
cana-1120	160	19	models	model	NOUN
cana-1120	160	20	presented	present	VERB
cana-1120	160	21	in	in	ADP
cana-1120	160	22	the	the	DET
cana-1120	160	23	following	follow	VERB
cana-1120	160	24	figure	figure	NOUN
cana-1120	160	25	–	–	PUNCT
cana-1120	160	26	communications	communication	NOUN
cana-1120	160	27	on	on	ADP
cana-1120	160	28	applied	apply	VERB
cana-1120	160	29	nonlinear	nonlinear	ADJ
cana-1120	160	30	analysis	analysis	NOUN
cana-1120	160	31	issn	issn	NOUN
cana-1120	160	32	:	:	PUNCT
cana-1120	160	33	1074	1074	NUM
cana-1120	160	34	-	-	PUNCT
cana-1120	160	35	133x	133x	NUM
cana-1120	160	36	vol	vol	NOUN
cana-1120	160	37	31	31	NUM
cana-1120	160	38	no	no	NOUN
cana-1120	160	39	.	.	PUNCT
cana-1120	161	1	6s	6s	NUM
cana-1120	161	2	(	(	PUNCT
cana-1120	161	3	2024	2024	NUM
cana-1120	161	4	)	)	PUNCT
cana-1120	161	5	71	71	NUM
cana-1120	162	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	162	2	figure	figure	NOUN
cana-1120	162	3	4.1	4.1	NUM
cana-1120	162	4	.	.	PUNCT
cana-1120	163	1	comparison	comparison	NOUN
cana-1120	163	2	of	of	ADP
cana-1120	163	3	forecasts	forecast	NOUN
cana-1120	163	4	of	of	ADP
cana-1120	163	5	platinum	platinum	NOUN
cana-1120	163	6	prices	price	NOUN
cana-1120	163	7	table	table	VERB
cana-1120	163	8	10	10	NUM
cana-1120	163	9	:	:	PUNCT
cana-1120	163	10	out	out	ADP
cana-1120	163	11	-	-	PUNCT
cana-1120	163	12	of	of	ADP
cana-1120	163	13	-	-	PUNCT
cana-1120	163	14	sample	sample	NOUN
cana-1120	163	15	forecasts	forecast	NOUN
cana-1120	163	16	of	of	ADP
cana-1120	163	17	platinum	platinum	NOUN
cana-1120	163	18	prices	price	NOUN
cana-1120	163	19	using	use	VERB
cana-1120	163	20	arima	arima	NOUN
cana-1120	163	21	,	,	PUNCT
cana-1120	163	22	ffnn	ffnn	NOUN
cana-1120	163	23	and	and	CCONJ
cana-1120	163	24	hybrid	hybrid	NOUN
cana-1120	163	25	models	model	NOUN
cana-1120	163	26	date	date	VERB
cana-1120	163	27	platinum	platinum	NOUN
cana-1120	163	28	/	/	SYM
cana-1120	163	29	gram	gram	PROPN
cana-1120	163	30	arima	arima	PROPN
cana-1120	163	31	pvs	pvs	PROPN
cana-1120	163	32	ann	ann	PROPN
cana-1120	163	33	pvs	pvs	PROPN
cana-1120	163	34	arima	arima	PROPN
cana-1120	163	35	hybrid	hybrid	PROPN
cana-1120	163	36	pvs	pvs	PROPN
cana-1120	163	37	01.11.2023	01.11.2023	X
cana-1120	163	38	2475.50	2475.50	NUM
cana-1120	163	39	2476.80	2476.80	NUM
cana-1120	163	40	2511.21	2511.21	NUM
cana-1120	163	41	2472.63	2472.63	NUM
cana-1120	163	42	02.11.2023	02.11.2023	SYM
cana-1120	163	43	2468.98	2468.98	NUM
cana-1120	163	44	2476.80	2476.80	NUM
cana-1120	163	45	2470.92	2470.92	NUM
cana-1120	163	46	2479.34	2479.34	NUM
cana-1120	163	47	03.11.2023	03.11.2023	NUM
cana-1120	163	48	2493.15	2493.15	NUM
cana-1120	163	49	2467.60	2467.60	NUM
cana-1120	163	50	2464.30	2464.30	NUM
cana-1120	163	51	2470.76	2470.76	NUM
cana-1120	163	52	04.11.2023	04.11.2023	NUM
cana-1120	163	53	2493.15	2493.15	NUM
cana-1120	163	54	2504.70	2504.70	NUM
cana-1120	163	55	2488.96	2488.96	NUM
cana-1120	163	56	2503.47	2503.47	NUM
cana-1120	163	57	05.11.2023	05.11.2023	PROPN
cana-1120	163	58	2493.15	2493.15	NUM
cana-1120	163	59	2489.90	2489.90	NUM
cana-1120	163	60	2488.96	2488.96	NUM
cana-1120	163	61	2493.30	2493.30	NUM
cana-1120	163	62	06.11.2023	06.11.2023	PROPN
cana-1120	163	63	2500.09	2500.09	NUM
cana-1120	163	64	2495.90	2495.90	NUM
cana-1120	163	65	2488.96	2488.96	NUM
cana-1120	163	66	2497.90	2497.90	NUM
cana-1120	163	67	07.11.2023	07.11.2023	NOUN
cana-1120	163	68	2409.43	2409.43	NUM
cana-1120	163	69	2503.20	2503.20	NUM
cana-1120	163	70	2496.09	2496.09	NUM
cana-1120	163	71	2505.08	2505.08	NUM
cana-1120	163	72	08.11.2023	08.11.2023	SYM
cana-1120	163	73	2350.18	2350.18	NUM
cana-1120	163	74	2373.80	2373.80	NUM
cana-1120	163	75	2405.12	2405.12	NUM
cana-1120	163	76	2364.99	2364.99	NUM
cana-1120	163	77	09.11.2023	09.11.2023	NUM
cana-1120	163	78	2311.03	2311.03	NUM
cana-1120	163	79	2342.00	2342.00	NUM
cana-1120	163	80	2349.14	2349.14	NUM
cana-1120	163	81	2345.59	2345.59	NUM
cana-1120	163	82	10.11.2023	10.11.2023	NUM
cana-1120	163	83	2275.53	2275.53	NUM
cana-1120	163	84	2299.90	2299.90	NUM
cana-1120	163	85	2314.07	2314.07	NUM
cana-1120	163	86	2303.14	2303.14	NUM
cana-1120	163	87	11.11.2023	11.11.2023	PROPN
cana-1120	163	88	2275.53	2275.53	NUM
cana-1120	163	89	2267.00	2267.00	NUM
cana-1120	163	90	2283.72	2283.72	NUM
cana-1120	163	91	2270.57	2270.57	NUM
cana-1120	163	92	12.11.2023	12.11.2023	NUM
cana-1120	163	93	2275.53	2275.53	NUM
cana-1120	163	94	2280.30	2280.30	NUM
cana-1120	163	95	2283.72	2283.72	NUM
cana-1120	163	96	2281.59	2281.59	NUM
cana-1120	164	1	13.11.2023	13.11.2023	NUM
cana-1120	164	2	2275.35	2275.35	NUM
cana-1120	164	3	2274.90	2274.90	NUM
cana-1120	164	4	2283.72	2283.72	NUM
cana-1120	164	5	2277.80	2277.80	NUM
cana-1120	164	6	14.11.2023	14.11.2023	NUM
cana-1120	164	7	2327.31	2327.31	NUM
cana-1120	164	8	2276.80	2276.80	NUM
cana-1120	164	9	2283.57	2283.57	NUM
cana-1120	164	10	2279.15	2279.15	NUM
cana-1120	164	11	15.11.2023	15.11.2023	NUM
cana-1120	164	12	2382.79	2382.79	NUM
cana-1120	164	13	2349.40	2349.40	NUM
cana-1120	164	14	2328.45	2328.45	NUM
cana-1120	164	15	2345.47	2345.47	NUM
cana-1120	164	16	16.11.2023	16.11.2023	NUM
cana-1120	164	17	2400.95	2400.95	NUM
cana-1120	164	18	2397.80	2397.80	NUM
cana-1120	164	19	2379.55	2379.55	NUM
cana-1120	164	20	2395.52	2395.52	NUM
cana-1120	164	21	17.11.2023	17.11.2023	NUM
cana-1120	164	22	2420.61	2420.61	NUM
cana-1120	164	23	2403.60	2403.60	NUM
cana-1120	164	24	2396.92	2396.92	NUM
cana-1120	164	25	2405.62	2405.62	NUM
cana-1120	164	26	18.11.2023	18.11.2023	NUM
cana-1120	164	27	2420.61	2420.61	NUM
cana-1120	164	28	2428.90	2428.90	NUM
cana-1120	164	29	2416.03	2416.03	NUM
cana-1120	164	30	2428.93	2428.93	NUM
cana-1120	164	31	19.11.2023	19.11.2023	PROPN
cana-1120	164	32	2420.61	2420.61	NUM
cana-1120	164	33	2418.60	2418.60	NUM
cana-1120	164	34	2416.03	2416.03	NUM
cana-1120	164	35	2421.79	2421.79	NUM
cana-1120	164	36	20.11.2023	20.11.2023	NUM
cana-1120	164	37	2420.61	2420.61	NUM
cana-1120	164	38	2422.80	2422.80	NUM
cana-1120	164	39	2416.03	2416.03	NUM
cana-1120	164	40	2424.96	2424.96	NUM
cana-1120	164	41	21.11.2023	21.11.2023	NUM
cana-1120	164	42	2482.92	2482.92	NUM
cana-1120	164	43	2421.10	2421.10	NUM
cana-1120	164	44	2416.03	2416.03	NUM
cana-1120	164	45	2423.74	2423.74	NUM
cana-1120	164	46	22.11.2023	22.11.2023	NUM
cana-1120	164	47	2517.17	2517.17	NUM
cana-1120	164	48	2509.80	2509.80	NUM
cana-1120	164	49	2478.48	2478.48	NUM
cana-1120	164	50	2505.28	2505.28	NUM
cana-1120	164	51	23.11.2023	23.11.2023	NUM
cana-1120	164	52	2472.43	2472.43	NUM
cana-1120	164	53	2521.60	2521.60	NUM
cana-1120	164	54	2513.74	2513.74	NUM
cana-1120	164	55	2523.05	2523.05	NUM
cana-1120	164	56	24.11.2023	24.11.2023	NUM
cana-1120	164	57	2451.41	2451.41	NUM
cana-1120	164	58	2454.20	2454.20	NUM
cana-1120	164	59	2467.80	2467.80	NUM
cana-1120	164	60	2455.20	2455.20	NUM
cana-1120	164	61	25.11.2023	25.11.2023	NUM
cana-1120	164	62	2451.41	2451.41	NUM
cana-1120	164	63	2451.70	2451.70	NUM
cana-1120	164	64	2446.58	2446.58	NUM
cana-1120	164	65	2454.40	2454.40	NUM
cana-1120	164	66	26.11.2023	26.11.2023	NUM
cana-1120	164	67	2451.41	2451.41	NUM
cana-1120	164	68	2452.70	2452.70	NUM
cana-1120	164	69	2446.58	2446.58	NUM
cana-1120	164	70	2455.13	2455.13	NUM
cana-1120	164	71	27.11.2023	27.11.2023	NUM
cana-1120	164	72	2518.38	2518.38	NUM
cana-1120	164	73	2452.30	2452.30	NUM
cana-1120	164	74	2446.58	2446.58	NUM
cana-1120	164	75	2454.84	2454.84	NUM
cana-1120	164	76	28.11.2023	28.11.2023	NUM
cana-1120	164	77	2486.78	2486.78	NUM
cana-1120	164	78	2547.10	2547.10	NUM
cana-1120	164	79	2514.99	2514.99	NUM
cana-1120	164	80	2542.45	2542.45	NUM
cana-1120	164	81	29.11.2023	29.11.2023	NUM
cana-1120	164	82	2499.47	2499.47	NUM
cana-1120	164	83	2464.20	2464.20	NUM
cana-1120	164	84	2482.43	2482.43	NUM
cana-1120	164	85	2463.10	2463.10	NUM
cana-1120	164	86	30.11.2023	30.11.2023	NUM
cana-1120	164	87	2513.06	2513.06	NUM
cana-1120	164	88	2515.30	2515.30	NUM
cana-1120	164	89	2495.45	2495.45	NUM
cana-1120	164	90	2512.80	2512.80	NUM
cana-1120	164	91	communications	communication	NOUN
cana-1120	164	92	on	on	ADP
cana-1120	164	93	applied	apply	VERB
cana-1120	164	94	nonlinear	nonlinear	ADJ
cana-1120	164	95	analysis	analysis	NOUN
cana-1120	164	96	issn	issn	NOUN
cana-1120	164	97	:	:	PUNCT
cana-1120	164	98	1074	1074	NUM
cana-1120	164	99	-	-	PUNCT
cana-1120	164	100	133x	133x	NUM
cana-1120	164	101	vol	vol	NOUN
cana-1120	164	102	31	31	NUM
cana-1120	164	103	no	no	NOUN
cana-1120	164	104	.	.	PUNCT
cana-1120	165	1	6s	6s	NUM
cana-1120	165	2	(	(	PUNCT
cana-1120	165	3	2024	2024	NUM
cana-1120	165	4	)	)	PUNCT
cana-1120	165	5	72	72	NUM
cana-1120	166	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	166	2	5	5	X
cana-1120	166	3	.	.	PUNCT
cana-1120	166	4	percentage	percentage	NOUN
cana-1120	166	5	better	well	ADJ
cana-1120	166	6	performance	performance	NOUN
cana-1120	166	7	of	of	ADP
cana-1120	166	8	the	the	DET
cana-1120	166	9	models	model	NOUN
cana-1120	166	10	the	the	DET
cana-1120	166	11	results	result	NOUN
cana-1120	166	12	of	of	ADP
cana-1120	166	13	the	the	DET
cana-1120	166	14	percentage	percentage	NOUN
cana-1120	166	15	better	well	ADJ
cana-1120	166	16	estimate	estimate	VERB
cana-1120	166	17	statistics	statistic	NOUN
cana-1120	166	18	of	of	ADP
cana-1120	166	19	the	the	DET
cana-1120	166	20	three	three	NUM
cana-1120	166	21	models	model	NOUN
cana-1120	166	22	are	be	AUX
cana-1120	166	23	shown	show	VERB
cana-1120	166	24	in	in	ADP
cana-1120	166	25	the	the	DET
cana-1120	166	26	following	follow	VERB
cana-1120	166	27	table	table	NOUN
cana-1120	166	28	.	.	PUNCT
cana-1120	167	1	table	table	NOUN
cana-1120	167	2	10	10	NUM
cana-1120	167	3	:	:	PUNCT
cana-1120	167	4	percentage	percentage	NOUN
cana-1120	167	5	better	well	ADJ
cana-1120	167	6	performance	performance	NOUN
cana-1120	167	7	model	model	NOUN
cana-1120	167	8	base	base	NOUN
cana-1120	167	9	method	method	NOUN
cana-1120	167	10	arima	arima	PROPN
cana-1120	167	11	fffnn	fffnn	NOUN
cana-1120	167	12	hybrid	hybrid	ADJ
cana-1120	167	13	arima	arima	NOUN
cana-1120	167	14	*	*	PUNCT
cana-1120	167	15	55	55	NUM
cana-1120	167	16	66.667	66.667	NUM
cana-1120	167	17	ffnn	ffnn	NOUN
cana-1120	167	18	46.667	46.667	NUM
cana-1120	167	19	*	*	SYM
cana-1120	167	20	90	90	NUM
cana-1120	167	21	hybrid	hybrid	ADJ
cana-1120	167	22	60	60	NUM
cana-1120	167	23	80	80	NUM
cana-1120	167	24	*	*	PUNCT
cana-1120	167	25	the	the	DET
cana-1120	167	26	table	table	NOUN
cana-1120	167	27	10	10	NUM
cana-1120	167	28	shows	show	VERB
cana-1120	167	29	that	that	SCONJ
cana-1120	167	30	ffnn	ffnn	NOUN
cana-1120	167	31	better	well	ADJ
cana-1120	167	32	performs	perform	NOUN
cana-1120	167	33	than	than	ADP
cana-1120	167	34	arima	arima	NOUN
cana-1120	167	35	and	and	CCONJ
cana-1120	167	36	hybrid	hybrid	NOUN
cana-1120	167	37	models	model	NOUN
cana-1120	167	38	.	.	PUNCT
cana-1120	168	1	over	over	ADP
cana-1120	168	2	all	all	DET
cana-1120	168	3	hybrid	hybrid	ADJ
cana-1120	168	4	model	model	NOUN
cana-1120	168	5	performs	perform	VERB
cana-1120	168	6	better	well	ADJ
cana-1120	168	7	than	than	ADP
cana-1120	168	8	ffnn	ffnn	NOUN
cana-1120	168	9	and	and	CCONJ
cana-1120	168	10	arima	arima	PROPN
cana-1120	168	11	model	model	NOUN
cana-1120	168	12	.	.	PUNCT
cana-1120	169	1	hence	hence	ADV
cana-1120	169	2	the	the	DET
cana-1120	169	3	best	good	ADJ
cana-1120	169	4	suitable	suitable	ADJ
cana-1120	169	5	model	model	NOUN
cana-1120	169	6	for	for	ADP
cana-1120	169	7	forecasting	forecasting	NOUN
cana-1120	169	8	of	of	ADP
cana-1120	169	9	platinum	platinum	NOUN
cana-1120	169	10	prices	price	NOUN
cana-1120	169	11	is	be	AUX
cana-1120	169	12	hybrid	hybrid	ADJ
cana-1120	169	13	model	model	NOUN
cana-1120	169	14	when	when	SCONJ
cana-1120	169	15	compare	compare	VERB
cana-1120	169	16	to	to	ADP
cana-1120	169	17	arima	arima	NOUN
cana-1120	169	18	and	and	CCONJ
cana-1120	169	19	ffnn	ffnn	NOUN
cana-1120	169	20	.	.	PUNCT
cana-1120	170	1	6	6	X
cana-1120	170	2	.	.	X
cana-1120	170	3	conclusion	conclusion	NOUN
cana-1120	170	4	a	a	DET
cana-1120	170	5	better	well	ADJ
cana-1120	170	6	time	time	NOUN
cana-1120	170	7	-	-	PUNCT
cana-1120	170	8	series	series	NOUN
cana-1120	170	9	forecast	forecast	NOUN
cana-1120	170	10	is	be	AUX
cana-1120	170	11	essential	essential	ADJ
cana-1120	170	12	,	,	PUNCT
cana-1120	170	13	but	but	CCONJ
cana-1120	170	14	there	there	PRON
cana-1120	170	15	are	be	VERB
cana-1120	170	16	several	several	ADJ
cana-1120	170	17	areas	area	NOUN
cana-1120	170	18	of	of	ADP
cana-1120	170	19	emphasis	emphasis	NOUN
cana-1120	170	20	for	for	ADP
cana-1120	170	21	the	the	DET
cana-1120	170	22	created	create	VERB
cana-1120	170	23	forecasting	forecasting	NOUN
cana-1120	170	24	models	model	NOUN
cana-1120	170	25	,	,	PUNCT
cana-1120	170	26	particularly	particularly	ADV
cana-1120	170	27	with	with	ADP
cana-1120	170	28	regard	regard	NOUN
cana-1120	170	29	to	to	ADP
cana-1120	170	30	these	these	DET
cana-1120	170	31	improvements	improvement	NOUN
cana-1120	170	32	in	in	ADP
cana-1120	170	33	prediction	prediction	NOUN
cana-1120	170	34	accuracies	accuracy	NOUN
cana-1120	170	35	that	that	PRON
cana-1120	170	36	support	support	VERB
cana-1120	170	37	predictions	prediction	NOUN
cana-1120	170	38	.	.	PUNCT
cana-1120	171	1	these	these	DET
cana-1120	171	2	days	day	NOUN
cana-1120	171	3	,	,	PUNCT
cana-1120	171	4	hybrid	hybrid	NOUN
cana-1120	171	5	models	model	NOUN
cana-1120	171	6	—	—	PUNCT
cana-1120	171	7	which	which	PRON
cana-1120	171	8	combine	combine	VERB
cana-1120	171	9	one	one	NUM
cana-1120	171	10	or	or	CCONJ
cana-1120	171	11	more	more	ADJ
cana-1120	171	12	model	model	NOUN
cana-1120	171	13	types	type	NOUN
cana-1120	171	14	—	—	PUNCT
cana-1120	171	15	are	be	AUX
cana-1120	171	16	widely	widely	ADV
cana-1120	171	17	used	use	VERB
cana-1120	171	18	in	in	ADP
cana-1120	171	19	forecasting	forecasting	NOUN
cana-1120	171	20	.	.	PUNCT
cana-1120	172	1	they	they	PRON
cana-1120	172	2	are	be	AUX
cana-1120	172	3	often	often	ADV
cana-1120	172	4	used	use	VERB
cana-1120	172	5	to	to	PART
cana-1120	172	6	linear	linear	VERB
cana-1120	172	7	and	and	CCONJ
cana-1120	172	8	nonlinear	nonlinear	ADJ
cana-1120	172	9	forecasting	forecasting	NOUN
cana-1120	172	10	models	model	NOUN
cana-1120	172	11	.	.	PUNCT
cana-1120	173	1	even	even	ADV
cana-1120	173	2	while	while	SCONJ
cana-1120	173	3	single	single	ADJ
cana-1120	173	4	models	model	NOUN
cana-1120	173	5	are	be	AUX
cana-1120	173	6	correct	correct	ADJ
cana-1120	173	7	during	during	ADP
cana-1120	173	8	some	some	DET
cana-1120	173	9	prediction	prediction	NOUN
cana-1120	173	10	periods	period	NOUN
cana-1120	173	11	,	,	PUNCT
cana-1120	173	12	hybrid	hybrid	ADJ
cana-1120	173	13	models	model	NOUN
cana-1120	173	14	often	often	ADV
cana-1120	173	15	provide	provide	VERB
cana-1120	173	16	superior	superior	ADJ
cana-1120	173	17	overall	overall	ADJ
cana-1120	173	18	prediction	prediction	NOUN
cana-1120	173	19	outcomes	outcome	NOUN
cana-1120	173	20	than	than	ADP
cana-1120	173	21	single	single	ADJ
cana-1120	173	22	forecasting	forecasting	NOUN
cana-1120	173	23	models	model	NOUN
cana-1120	173	24	.	.	PUNCT
cana-1120	174	1	in	in	ADP
cana-1120	174	2	order	order	NOUN
cana-1120	174	3	to	to	PART
cana-1120	174	4	increase	increase	VERB
cana-1120	174	5	forecasting	forecasting	NOUN
cana-1120	174	6	accuracy	accuracy	NOUN
cana-1120	174	7	,	,	PUNCT
cana-1120	174	8	combining	combine	VERB
cana-1120	174	9	single	single	ADJ
cana-1120	174	10	and	and	CCONJ
cana-1120	174	11	hybrid	hybrid	NOUN
cana-1120	174	12	models	model	NOUN
cana-1120	174	13	has	have	VERB
cana-1120	174	14	more	more	ADJ
cana-1120	174	15	possibilities	possibility	NOUN
cana-1120	174	16	.	.	PUNCT
cana-1120	175	1	in	in	ADP
cana-1120	175	2	order	order	NOUN
cana-1120	175	3	to	to	PART
cana-1120	175	4	forecast	forecast	VERB
cana-1120	175	5	time	time	NOUN
cana-1120	175	6	series	series	NOUN
cana-1120	175	7	,	,	PUNCT
cana-1120	175	8	this	this	DET
cana-1120	175	9	study	study	NOUN
cana-1120	175	10	compared	compare	VERB
cana-1120	175	11	arima	arima	PROPN
cana-1120	175	12	,	,	PUNCT
cana-1120	175	13	ann	ann	PROPN
cana-1120	175	14	,	,	PUNCT
cana-1120	175	15	and	and	CCONJ
cana-1120	175	16	hybrid	hybrid	NOUN
cana-1120	175	17	models	model	NOUN
cana-1120	175	18	.	.	PUNCT
cana-1120	176	1	results	result	NOUN
cana-1120	176	2	of	of	ADP
cana-1120	176	3	this	this	DET
cana-1120	176	4	study	study	NOUN
cana-1120	176	5	reveals	reveal	VERB
cana-1120	176	6	that	that	SCONJ
cana-1120	176	7	hybrid	hybrid	ADJ
cana-1120	176	8	model	model	NOUN
cana-1120	176	9	is	be	AUX
cana-1120	176	10	66	66	NUM
cana-1120	176	11	%	%	NOUN
cana-1120	176	12	and	and	CCONJ
cana-1120	176	13	90	90	NUM
cana-1120	176	14	%	%	NOUN
cana-1120	176	15	better	well	ADJ
cana-1120	176	16	model	model	NOUN
cana-1120	176	17	than	than	ADP
cana-1120	176	18	arima	arima	NOUN
cana-1120	176	19	and	and	CCONJ
cana-1120	176	20	ffnn	ffnn	NOUN
cana-1120	176	21	models	model	NOUN
cana-1120	176	22	respectively	respectively	ADV
cana-1120	176	23	and	and	CCONJ
cana-1120	176	24	empirical	empirical	ADJ
cana-1120	176	25	results	result	NOUN
cana-1120	176	26	from	from	ADP
cana-1120	176	27	the	the	DET
cana-1120	176	28	application	application	NOUN
cana-1120	176	29	of	of	ADP
cana-1120	176	30	hybrid	hybrid	NOUN
cana-1120	176	31	model	model	NOUN
cana-1120	176	32	reduces	reduce	VERB
cana-1120	176	33	50	50	NUM
cana-1120	176	34	%	%	NOUN
cana-1120	176	35	error	error	NOUN
cana-1120	176	36	metrics	metric	NOUN
cana-1120	176	37	in	in	ADP
cana-1120	176	38	out	out	ADP
cana-1120	176	39	of	of	ADP
cana-1120	176	40	sample	sample	NOUN
cana-1120	176	41	in	in	ADP
cana-1120	176	42	comparison	comparison	NOUN
cana-1120	176	43	to	to	ADP
cana-1120	176	44	in	in	ADP
cana-1120	176	45	sample	sample	NOUN
cana-1120	176	46	therefore	therefore	ADV
cana-1120	176	47	the	the	DET
cana-1120	176	48	suitable	suitable	ADJ
cana-1120	176	49	model	model	NOUN
cana-1120	176	50	for	for	ADP
cana-1120	176	51	prediction	prediction	NOUN
cana-1120	176	52	of	of	ADP
cana-1120	176	53	platinum	platinum	NOUN
cana-1120	176	54	prices	price	NOUN
cana-1120	176	55	is	be	AUX
cana-1120	176	56	hybrid	hybrid	ADJ
cana-1120	176	57	model	model	NOUN
cana-1120	176	58	.	.	PUNCT
cana-1120	177	1	using	use	VERB
cana-1120	177	2	hybrid	hybrid	ADJ
cana-1120	177	3	models	model	NOUN
cana-1120	177	4	to	to	PART
cana-1120	177	5	increase	increase	VERB
cana-1120	177	6	predicting	predict	VERB
cana-1120	177	7	accuracy	accuracy	NOUN
cana-1120	177	8	yielded	yield	VERB
cana-1120	177	9	the	the	DET
cana-1120	177	10	most	most	ADV
cana-1120	177	11	significant	significant	ADJ
cana-1120	177	12	findings	finding	NOUN
cana-1120	177	13	.	.	PUNCT
cana-1120	178	1	acknowledgements	acknowledgement	NOUN
cana-1120	178	2	;	;	PUNCT
cana-1120	178	3	author	author	NOUN
cana-1120	178	4	would	would	AUX
cana-1120	178	5	like	like	VERB
cana-1120	178	6	to	to	PART
cana-1120	178	7	thank	thank	VERB
cana-1120	178	8	,	,	PUNCT
cana-1120	178	9	kl	kl	PROPN
cana-1120	178	10	university	university	PROPN
cana-1120	178	11	and	and	CCONJ
cana-1120	178	12	osmania	osmania	PROPN
cana-1120	178	13	university	university	PROPN
cana-1120	178	14	for	for	ADP
cana-1120	178	15	providing	provide	VERB
cana-1120	178	16	facility	facility	NOUN
cana-1120	178	17	during	during	ADP
cana-1120	178	18	the	the	DET
cana-1120	178	19	study	study	NOUN
cana-1120	178	20	.	.	PUNCT
cana-1120	179	1	funding	funding	NOUN
cana-1120	179	2	;	;	PUNCT
cana-1120	179	3	no	no	DET
cana-1120	179	4	funding	funding	NOUN
cana-1120	179	5	was	be	AUX
cana-1120	179	6	received	receive	VERB
cana-1120	179	7	for	for	ADP
cana-1120	179	8	the	the	DET
cana-1120	179	9	present	present	ADJ
cana-1120	179	10	study	study	NOUN
cana-1120	179	11	.	.	PUNCT
cana-1120	180	1	data	datum	NOUN
cana-1120	180	2	availability	availability	NOUN
cana-1120	180	3	statement	statement	NOUN
cana-1120	180	4	:	:	PUNCT
cana-1120	180	5	this	this	DET
cana-1120	180	6	manuscript	manuscript	NOUN
cana-1120	180	7	does	do	AUX
cana-1120	180	8	not	not	PART
cana-1120	180	9	use	use	VERB
cana-1120	180	10	any	any	DET
cana-1120	180	11	data	datum	NOUN
cana-1120	180	12	from	from	ADP
cana-1120	180	13	any	any	DET
cana-1120	180	14	repository	repository	NOUN
cana-1120	180	15	.	.	PUNCT
cana-1120	181	1	declarations	declaration	NOUN
cana-1120	181	2	conflicts	conflict	NOUN
cana-1120	181	3	of	of	ADP
cana-1120	181	4	interest	interest	NOUN
cana-1120	181	5	:	:	PUNCT
cana-1120	181	6	the	the	DET
cana-1120	181	7	author	author	NOUN
cana-1120	181	8	declares	declare	VERB
cana-1120	181	9	no	no	DET
cana-1120	181	10	conflict	conflict	NOUN
cana-1120	181	11	of	of	ADP
cana-1120	181	12	interest	interest	NOUN
cana-1120	181	13	.	.	PUNCT
cana-1120	182	1	references	reference	NOUN
cana-1120	182	2	[	[	X
cana-1120	182	3	1	1	NUM
cana-1120	182	4	]	]	X
cana-1120	182	5	reddy	reddy	NOUN
cana-1120	182	6	,	,	PUNCT
cana-1120	182	7	e.h.a	e.h.a	PROPN
cana-1120	182	8	.	.	PUNCT
cana-1120	182	9	fawzy	fawzy	PROPN
cana-1120	182	10	,	,	PUNCT
cana-1120	182	11	h.	h.	PROPN
cana-1120	182	12	,	,	PUNCT
cana-1120	182	13	fattah	fattah	PROPN
cana-1120	182	14	,	,	PUNCT
cana-1120	182	15	a.m.a	a.m.a	PROPN
cana-1120	182	16	.	.	PUNCT
cana-1120	182	17	time	time	PROPN
cana-1120	182	18	series	series	PROPN
cana-1120	182	19	forecasting	forecasting	NOUN
cana-1120	182	20	using	use	VERB
cana-1120	182	21	tree	tree	NOUN
cana-1120	182	22	based	base	VERB
cana-1120	182	23	methods	method	NOUN
cana-1120	182	24	.	.	PUNCT
cana-1120	183	1	journal	journal	PROPN
cana-1120	183	2	of	of	ADP
cana-1120	183	3	statistics	statistic	NOUN
cana-1120	183	4	applications	application	NOUN
cana-1120	183	5	and	and	CCONJ
cana-1120	183	6	probability	probability	NOUN
cana-1120	183	7	10	10	NUM
cana-1120	183	8	(	(	PUNCT
cana-1120	183	9	2021	2021	NUM
cana-1120	183	10	)	)	PUNCT
cana-1120	183	11	,	,	PUNCT
cana-1120	183	12	229–244	229–244	NUM
cana-1120	183	13	.	.	PUNCT
cana-1120	184	1	[	[	X
cana-1120	184	2	2	2	NUM
cana-1120	184	3	]	]	PUNCT
cana-1120	184	4	tuyen	tuyen	NOUN
cana-1120	184	5	,	,	PUNCT
cana-1120	184	6	d.n	d.n	PROPN
cana-1120	184	7	.	.	PROPN
cana-1120	184	8	,	,	PUNCT
cana-1120	184	9	tuan	tuan	PROPN
cana-1120	184	10	,	,	PUNCT
cana-1120	184	11	t.m	t.m	PROPN
cana-1120	184	12	.	.	PROPN
cana-1120	184	13	,	,	PUNCT
cana-1120	184	14	son	son	PROPN
cana-1120	184	15	,	,	PUNCT
cana-1120	184	16	l.h	l.h	PROPN
cana-1120	184	17	.	.	PROPN
cana-1120	184	18	,	,	PUNCT
cana-1120	184	19	ngan	ngan	PROPN
cana-1120	184	20	,	,	PUNCT
cana-1120	184	21	t.t	t.t	PROPN
cana-1120	184	22	.	.	PROPN
cana-1120	184	23	,	,	PUNCT
cana-1120	184	24	giang	giang	PROPN
cana-1120	184	25	,	,	PUNCT
cana-1120	184	26	n.l	n.l	PROPN
cana-1120	184	27	.	.	PROPN
cana-1120	184	28	et	et	PROPN
cana-1120	184	29	al	al	PROPN
cana-1120	184	30	.	.	PROPN
cana-1120	184	31	,	,	PUNCT
cana-1120	184	32	a	a	DET
cana-1120	184	33	novel	novel	ADJ
cana-1120	184	34	approach	approach	NOUN
cana-1120	184	35	combining	combine	VERB
cana-1120	184	36	particle	particle	NOUN
cana-1120	184	37	swarm	swarm	NOUN
cana-1120	184	38	optimizationn	optimizationn	ADJ
cana-1120	184	39	and	and	CCONJ
cana-1120	184	40	deep	deep	ADJ
cana-1120	184	41	learning	learning	NOUN
cana-1120	184	42	for	for	ADP
cana-1120	184	43	flash	flash	NOUN
cana-1120	184	44	flood	flood	NOUN
cana-1120	184	45	detection	detection	NOUN
cana-1120	184	46	from	from	ADP
cana-1120	184	47	satellite	satellite	NOUN
cana-1120	184	48	images	image	NOUN
cana-1120	184	49	.	.	PUNCT
cana-1120	185	1	mathematics	mathematic	NOUN
cana-1120	185	2	9	9	NUM
cana-1120	185	3	(	(	PUNCT
cana-1120	185	4	2021	2021	NUM
cana-1120	185	5	)	)	PUNCT
cana-1120	185	6	,	,	PUNCT
cana-1120	185	7	2846	2846	NUM
cana-1120	185	8	.	.	PUNCT
cana-1120	186	1	[	[	X
cana-1120	186	2	3	3	NUM
cana-1120	186	3	]	]	X
cana-1120	186	4	montgomery	montgomery	PROPN
cana-1120	186	5	,	,	PUNCT
cana-1120	186	6	d.c	d.c	PROPN
cana-1120	186	7	.	.	PROPN
cana-1120	186	8	,	,	PUNCT
cana-1120	186	9	jennings	jennings	PROPN
cana-1120	186	10	,	,	PUNCT
cana-1120	186	11	c.l	c.l	PROPN
cana-1120	186	12	.	.	PROPN
cana-1120	186	13	,	,	PUNCT
cana-1120	186	14	kulahci	kulahci	PROPN
cana-1120	186	15	.	.	PUNCT
cana-1120	186	16	m.	m.	NOUN
cana-1120	186	17	introduction	introduction	NOUN
cana-1120	186	18	to	to	ADP
cana-1120	186	19	time	time	NOUN
cana-1120	186	20	series	series	NOUN
cana-1120	186	21	analysis	analysis	NOUN
cana-1120	186	22	and	and	CCONJ
cana-1120	186	23	forecasting	forecasting	NOUN
cana-1120	186	24	(	(	PUNCT
cana-1120	186	25	john	john	PROPN
cana-1120	186	26	wiley	wiley	PROPN
cana-1120	186	27	&	&	CCONJ
cana-1120	186	28	sons	son	NOUN
cana-1120	186	29	,	,	PUNCT
cana-1120	186	30	2015	2015	NUM
cana-1120	186	31	)	)	PUNCT
cana-1120	186	32	.	.	PUNCT
cana-1120	187	1	communications	communication	NOUN
cana-1120	187	2	on	on	ADP
cana-1120	187	3	applied	apply	VERB
cana-1120	187	4	nonlinear	nonlinear	ADJ
cana-1120	187	5	analysis	analysis	NOUN
cana-1120	187	6	issn	issn	NOUN
cana-1120	187	7	:	:	PUNCT
cana-1120	187	8	1074	1074	NUM
cana-1120	187	9	-	-	PUNCT
cana-1120	187	10	133x	133x	NUM
cana-1120	187	11	vol	vol	NOUN
cana-1120	187	12	31	31	NUM
cana-1120	187	13	no	no	NOUN
cana-1120	187	14	.	.	PUNCT
cana-1120	188	1	6s	6s	NUM
cana-1120	188	2	(	(	PUNCT
cana-1120	188	3	2024	2024	NUM
cana-1120	188	4	)	)	PUNCT
cana-1120	188	5	73	73	NUM
cana-1120	188	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1120	189	1	[	[	X
cana-1120	189	2	4	4	NUM
cana-1120	189	3	]	]	X
cana-1120	189	4	shumway	shumway	NOUN
cana-1120	189	5	,	,	PUNCT
cana-1120	189	6	r.h	r.h	PROPN
cana-1120	189	7	.	.	PROPN
cana-1120	189	8	,	,	PUNCT
cana-1120	189	9	stoffer	stoffer	PROPN
cana-1120	189	10	.	.	PUNCT
cana-1120	190	1	d.s	d.s	PROPN
cana-1120	190	2	.	.	PROPN
cana-1120	190	3	,	,	PUNCT
cana-1120	190	4	stoffer	stoffer	PROPN
cana-1120	190	5	.	.	PUNCT
cana-1120	191	1	d.s	d.s	PROPN
cana-1120	191	2	.	.	PROPN
cana-1120	191	3	time	time	PROPN
cana-1120	191	4	series	series	PROPN
cana-1120	191	5	analysis	analysis	NOUN
cana-1120	191	6	and	and	CCONJ
cana-1120	191	7	its	its	PRON
cana-1120	191	8	applications	application	NOUN
cana-1120	191	9	(	(	PUNCT
cana-1120	191	10	springer	springer	NOUN
cana-1120	191	11	,	,	PUNCT
cana-1120	191	12	2000	2000	NUM
cana-1120	191	13	)	)	PUNCT
cana-1120	191	14	.	.	PUNCT
cana-1120	192	1	c	c	NOUN
cana-1120	192	2	2023	2023	NUM
cana-1120	192	3	nsp	nsp	VERB
cana-1120	192	4	natural	natural	ADJ
cana-1120	192	5	sciences	sciences	PROPN
cana-1120	192	6	publishing	publishing	PROPN
cana-1120	192	7	cor	cor	PROPN
cana-1120	192	8	.	.	PROPN
cana-1120	192	9	1016	1016	NUM
cana-1120	192	10	a.	a.	NOUN
cana-1120	192	11	alsuwaylimi	alsuwaylimi	PROPN
cana-1120	192	12	:	:	PUNCT
cana-1120	192	13	comparison	comparison	NOUN
cana-1120	192	14	of	of	ADP
cana-1120	192	15	arima	arima	PROPN
cana-1120	192	16	,	,	PUNCT
cana-1120	192	17	ann	ann	PROPN
cana-1120	192	18	and	and	CCONJ
cana-1120	192	19	hybrid	hybrid	ADJ
cana-1120	192	20	arima	arima	PROPN
cana-1120	192	21	-	-	PUNCT
cana-1120	192	22	ann	ann	PROPN
cana-1120	192	23	models	model	NOUN
cana-1120	192	24	(	(	PUNCT
cana-1120	192	25	2000	2000	NUM
cana-1120	192	26	)	)	PUNCT
cana-1120	192	27	.	.	PUNCT
cana-1120	193	1	[	[	X
cana-1120	193	2	5	5	NUM
cana-1120	193	3	]	]	PUNCT
cana-1120	193	4	fernandes	fernande	NOUN
cana-1120	193	5	,	,	PUNCT
cana-1120	193	6	de	de	PROPN
cana-1120	193	7	.	.	PROPN
cana-1120	193	8	souza	souza	PROPN
cana-1120	193	9	,	,	PUNCT
cana-1120	193	10	j.a	j.a	PROPN
cana-1120	193	11	.	.	PROPN
cana-1120	193	12	,	,	PUNCT
cana-1120	193	13	silva	silva	PROPN
cana-1120	193	14	,	,	PUNCT
cana-1120	193	15	m.m	m.m	PROPN
cana-1120	193	16	.	.	PROPN
cana-1120	193	17	,	,	PUNCT
cana-1120	193	18	rodrigues	rodrigues	PROPN
cana-1120	193	19	,	,	PUNCT
cana-1120	193	20	s.g	s.g	PROPN
cana-1120	193	21	.	.	PROPN
cana-1120	193	22	,	,	PUNCT
cana-1120	193	23	machado	machado	PROPN
cana-1120	193	24	,	,	PUNCT
cana-1120	193	25	santos	santos	PROPN
cana-1120	193	26	,	,	PUNCT
cana-1120	193	27	s.	s.	PROPN
cana-1120	193	28	a	a	DET
cana-1120	193	29	forecasting	forecasting	NOUN
cana-1120	193	30	model	model	NOUN
cana-1120	193	31	based	base	VERB
cana-1120	193	32	on	on	ADP
cana-1120	193	33	arima	arima	PROPN
cana-1120	193	34	and	and	CCONJ
cana-1120	193	35	artificial	artificial	ADJ
cana-1120	193	36	neural	neural	ADJ
cana-1120	193	37	networks	network	NOUN
cana-1120	193	38	for	for	ADP
cana-1120	193	39	end	end	NOUN
cana-1120	193	40	-	-	PUNCT
cana-1120	193	41	of	of	ADP
cana-1120	193	42	-	-	PUNCT
cana-1120	193	43	life	life	NOUN
cana-1120	193	44	vehicles	vehicle	NOUN
cana-1120	193	45	.	.	PUNCT
cana-1120	194	1	j	j	PROPN
cana-1120	194	2	environ	environ	PROPN
cana-1120	194	3	manage	manage	VERB
cana-1120	194	4	318	318	NUM
cana-1120	194	5	(	(	PUNCT
cana-1120	194	6	2022	2022	NUM
cana-1120	194	7	)	)	PUNCT
cana-1120	194	8	115616	115616	NUM
cana-1120	194	9	.	.	PUNCT
cana-1120	195	1	doi	doi	NOUN
cana-1120	195	2	:	:	PUNCT
cana-1120	195	3	10.1016	10.1016	NUM
cana-1120	195	4	/	/	SYM
cana-1120	195	5	j.jenvman.2022.115616	j.jenvman.2022.115616	X
cana-1120	195	6	.	.	PUNCT
cana-1120	196	1	[	[	X
cana-1120	196	2	6	6	NUM
cana-1120	196	3	]	]	X
cana-1120	196	4	wang	wang	PROPN
cana-1120	196	5	,	,	PUNCT
cana-1120	196	6	m.	m.	NOUN
cana-1120	196	7	,	,	PUNCT
cana-1120	196	8	pan	pan	PROPN
cana-1120	196	9	,	,	PUNCT
cana-1120	196	10	j.	j.	PROPN
cana-1120	196	11	,	,	PUNCT
cana-1120	196	12	li	li	PROPN
cana-1120	196	13	,	,	PUNCT
cana-1120	196	14	x.	x.	PROPN
cana-1120	196	15	,	,	PUNCT
cana-1120	196	16	li	li	PROPN
cana-1120	196	17	,	,	PUNCT
cana-1120	196	18	m.	m.	NOUN
cana-1120	196	19	,	,	PUNCT
cana-1120	196	20	liu	liu	PROPN
cana-1120	196	21	,	,	PUNCT
cana-1120	196	22	z.	z.	PROPN
cana-1120	196	23	,	,	PUNCT
cana-1120	196	24	zhao	zhao	PROPN
cana-1120	196	25	,	,	PUNCT
cana-1120	196	26	q.	q.	PROPN
cana-1120	196	27	et	et	PROPN
cana-1120	196	28	al	al	PROPN
cana-1120	196	29	.	.	PROPN
cana-1120	197	1	arima	arima	PROPN
cana-1120	197	2	and	and	CCONJ
cana-1120	197	3	arima	arima	PROPN
cana-1120	197	4	-	-	PUNCT
cana-1120	197	5	ernn	ernn	PROPN
cana-1120	197	6	models	model	NOUN
cana-1120	197	7	for	for	ADP
cana-1120	197	8	prediction	prediction	NOUN
cana-1120	197	9	of	of	ADP
cana-1120	197	10	pertussis	pertussis	NOUN
cana-1120	197	11	incidence	incidence	NOUN
cana-1120	197	12	in	in	ADP
cana-1120	197	13	mainland	mainland	NOUN
cana-1120	197	14	china	china	PROPN
cana-1120	197	15	from	from	ADP
cana-1120	197	16	2004	2004	NUM
cana-1120	197	17	to	to	ADP
cana-1120	197	18	2021	2021	NUM
cana-1120	197	19	.	.	PUNCT
cana-1120	198	1	bmc	bmc	VERB
cana-1120	198	2	public	public	ADJ
cana-1120	198	3	health	health	NOUN
cana-1120	198	4	22(1):1447	22(1):1447	PROPN
cana-1120	198	5	(	(	PUNCT
cana-1120	198	6	2022	2022	NUM
cana-1120	198	7	)	)	PUNCT
cana-1120	198	8	.	.	PUNCT
cana-1120	199	1	doi	doi	NOUN
cana-1120	199	2	:	:	PUNCT
cana-1120	199	3	10.1186	10.1186	NUM
cana-1120	199	4	/	/	SYM
cana-1120	199	5	s12889	s12889	NOUN
cana-1120	199	6	-	-	PUNCT
cana-1120	199	7	022	022	NUM
cana-1120	199	8	-	-	PUNCT
cana-1120	199	9	13872	13872	NUM
cana-1120	199	10	-	-	SYM
cana-1120	199	11	9	9	NUM
cana-1120	199	12	.	.	PUNCT
cana-1120	200	1	[	[	X
cana-1120	200	2	7	7	X
cana-1120	200	3	]	]	X
cana-1120	200	4	kim	kim	PROPN
cana-1120	200	5	,	,	PUNCT
cana-1120	200	6	s.	s.	PROPN
cana-1120	200	7	,	,	PUNCT
cana-1120	200	8	kim	kim	PROPN
cana-1120	200	9	,	,	PUNCT
cana-1120	200	10	h.	h.	PROPN
cana-1120	200	11	:	:	PUNCT
cana-1120	200	12	a	a	DET
cana-1120	200	13	new	new	ADJ
cana-1120	200	14	metric	metric	NOUN
cana-1120	200	15	of	of	ADP
cana-1120	200	16	absolute	absolute	ADJ
cana-1120	200	17	percentage	percentage	NOUN
cana-1120	200	18	error	error	NOUN
cana-1120	200	19	for	for	ADP
cana-1120	200	20	intermittent	intermittent	ADJ
cana-1120	200	21	demand	demand	NOUN
cana-1120	200	22	forecasts	forecast	NOUN
cana-1120	200	23	.	.	PUNCT
cana-1120	201	1	j	j	PROPN
cana-1120	201	2	international	international	PROPN
cana-1120	201	3	journal	journal	PROPN
cana-1120	201	4	of	of	ADP
cana-1120	201	5	forecasting	forecast	VERB
cana-1120	201	6	32	32	NUM
cana-1120	201	7	(	(	PUNCT
cana-1120	201	8	2016	2016	NUM
cana-1120	201	9	)	)	PUNCT
cana-1120	201	10	,	,	PUNCT
cana-1120	201	11	669–679	669–679	NUM
cana-1120	201	12	.	.	PUNCT
cana-1120	202	1	doi	doi	NOUN
cana-1120	202	2	:	:	PUNCT
cana-1120	202	3	10.1016	10.1016	NUM
cana-1120	202	4	/	/	SYM
cana-1120	202	5	j.ijforecast.2015.12.003	j.ijforecast.2015.12.003	NOUN
cana-1120	202	6	.	.	PUNCT
cana-1120	203	1	[	[	X
cana-1120	203	2	8	8	NUM
cana-1120	203	3	]	]	X
cana-1120	203	4	fawzy	fawzy	PROPN
cana-1120	203	5	,	,	PUNCT
cana-1120	203	6	h.	h.	PROPN
cana-1120	203	7	,	,	PUNCT
cana-1120	203	8	rady	rady	PROPN
cana-1120	203	9	,	,	PUNCT
cana-1120	203	10	e.h.a	e.h.a	ADJ
cana-1120	203	11	.	.	PROPN
cana-1120	203	12	,	,	PUNCT
cana-1120	203	13	fattah	fattah	PROPN
cana-1120	203	14	,	,	PUNCT
cana-1120	203	15	a.m.a	a.m.a	NOUN
cana-1120	203	16	.	.	PUNCT
cana-1120	203	17	forecasting	forecasting	NOUN
cana-1120	203	18	time	time	NOUN
cana-1120	203	19	series	series	PROPN
cana-1120	203	20	using	use	VERB
cana-1120	203	21	a	a	DET
cana-1120	203	22	hybrid	hybrid	ADJ
cana-1120	203	23	arima	arima	NOUN
cana-1120	203	24	-	-	PUNCT
cana-1120	203	25	ann	ann	PROPN
cana-1120	203	26	methodology	methodology	NOUN
cana-1120	203	27	.	.	PUNCT
cana-1120	204	1	journal	journal	PROPN
cana-1120	204	2	of	of	ADP
cana-1120	204	3	applied	apply	VERB
cana-1120	204	4	probability	probability	NOUN
cana-1120	204	5	and	and	CCONJ
cana-1120	204	6	statistics	statistic	NOUN
cana-1120	204	7	16	16	NUM
cana-1120	204	8	(	(	PUNCT
cana-1120	204	9	2021	2021	NUM
cana-1120	204	10	)	)	PUNCT
cana-1120	204	11	,	,	PUNCT
cana-1120	205	1	95–106	95–106	NUM
cana-1120	205	2	.	.	PUNCT
cana-1120	206	1	[	[	X
cana-1120	206	2	9	9	NUM
cana-1120	206	3	]	]	SYM
cana-1120	206	4	barba	barba	NOUN
cana-1120	206	5	,	,	PUNCT
cana-1120	206	6	p.	p.	NOUN
cana-1120	206	7	,	,	PUNCT
cana-1120	206	8	rosado	rosado	NOUN
cana-1120	206	9	,	,	PUNCT
cana-1120	206	10	b.	b.	PROPN
cana-1120	206	11	,	,	PUNCT
cana-1120	206	12	ramirez	ramirez	PROPN
cana-1120	206	13	,	,	PUNCT
cana-1120	206	14	zelaya	zelaya	PROPN
cana-1120	206	15	,	,	PUNCT
cana-1120	206	16	j.	j.	PROPN
cana-1120	206	17	,	,	PUNCT
cana-1120	206	18	berrocoso	berrocoso	NOUN
cana-1120	206	19	,	,	PUNCT
cana-1120	206	20	m.	m.	NOUN
cana-1120	206	21	comparative	comparative	ADJ
cana-1120	206	22	analysis	analysis	NOUN
cana-1120	206	23	of	of	ADP
cana-1120	206	24	statistical	statistical	ADJ
cana-1120	206	25	and	and	CCONJ
cana-1120	206	26	analytical	analytical	ADJ
cana-1120	206	27	techniques	technique	NOUN
cana-1120	206	28	for	for	ADP
cana-1120	206	29	the	the	DET
cana-1120	206	30	study	study	NOUN
cana-1120	206	31	of	of	ADP
cana-1120	206	32	gnss	gnss	NOUN
cana-1120	206	33	geodetic	geodetic	ADJ
cana-1120	206	34	time	time	NOUN
cana-1120	206	35	series	series	NOUN
cana-1120	206	36	,	,	PUNCT
cana-1120	206	37	engineering	engineering	NOUN
cana-1120	206	38	proceedings	proceeding	NOUN
cana-1120	206	39	5(2021	5(2021	NUM
cana-1120	206	40	)	)	PUNCT
cana-1120	206	41	,	,	PUNCT
cana-1120	206	42	21	21	NUM
cana-1120	206	43	.	.	PUNCT
cana-1120	207	1	[	[	X
cana-1120	207	2	10	10	NUM
cana-1120	207	3	]	]	X
cana-1120	207	4	zhang	zhang	PROPN
cana-1120	207	5	,	,	PUNCT
cana-1120	207	6	p.g	p.g	PROPN
cana-1120	207	7	.	.	PROPN
cana-1120	207	8	:	:	PUNCT
cana-1120	207	9	time	time	NOUN
cana-1120	207	10	series	series	PROPN
cana-1120	207	11	forecasting	forecasting	NOUN
cana-1120	207	12	using	use	VERB
cana-1120	207	13	a	a	DET
cana-1120	207	14	hybrid	hybrid	ADJ
cana-1120	207	15	arima	arima	NOUN
cana-1120	207	16	and	and	CCONJ
cana-1120	207	17	neural	neural	ADJ
cana-1120	207	18	network	network	NOUN
cana-1120	207	19	model	model	NOUN
cana-1120	207	20	.	.	PUNCT
cana-1120	208	1	neurocomputing	neurocompute	VERB
cana-1120	208	2	50	50	NUM
cana-1120	208	3	(	(	PUNCT
cana-1120	208	4	2003	2003	NUM
cana-1120	208	5	)	)	PUNCT
cana-1120	208	6	,	,	PUNCT
cana-1120	208	7	159–175	159–175	NUM
cana-1120	208	8	.	.	PUNCT
cana-1120	209	1	[	[	X
cana-1120	209	2	11	11	NUM
cana-1120	209	3	]	]	X
cana-1120	209	4	khashei	khashei	PROPN
cana-1120	209	5	,	,	PUNCT
cana-1120	209	6	m.	m.	NOUN
cana-1120	209	7	,	,	PUNCT
cana-1120	209	8	bijari	bijari	PROPN
cana-1120	209	9	,	,	PUNCT
cana-1120	209	10	m.	m.	NOUN
cana-1120	209	11	an	an	DET
cana-1120	209	12	artificial	artificial	ADJ
cana-1120	209	13	neural	neural	ADJ
cana-1120	209	14	network	network	NOUN
cana-1120	209	15	(	(	PUNCT
cana-1120	209	16	p	p	X
cana-1120	209	17	,	,	PUNCT
cana-1120	209	18	d	d	NOUN
cana-1120	209	19	,	,	PUNCT
cana-1120	209	20	q	q	NOUN
cana-1120	209	21	)	)	PUNCT
cana-1120	209	22	model	model	NOUN
cana-1120	209	23	for	for	ADP
cana-1120	209	24	time	time	NOUN
cana-1120	209	25	series	series	PROPN
cana-1120	209	26	forecasting	forecasting	NOUN
cana-1120	209	27	,	,	PUNCT
cana-1120	209	28	expert	expert	NOUN
cana-1120	209	29	systems	system	NOUN
cana-1120	209	30	with	with	ADP
cana-1120	209	31	applications	application	NOUN
cana-1120	209	32	37(2013	37(2013	NUM
cana-1120	209	33	)	)	PUNCT
cana-1120	209	34	,	,	PUNCT
cana-1120	209	35	479–489	479–489	NUM
cana-1120	209	36	.	.	PUNCT
cana-1120	210	1	[	[	X
cana-1120	210	2	12	12	NUM
cana-1120	210	3	]	]	X
cana-1120	210	4	cadenas	cadena	NOUN
cana-1120	210	5	,	,	PUNCT
cana-1120	210	6	e	e	PROPN
cana-1120	210	7	,	,	PUNCT
cana-1120	210	8	rivera	rivera	PROPN
cana-1120	210	9	,	,	PUNCT
cana-1120	210	10	w.	w.	NOUN
cana-1120	210	11	wind	wind	NOUN
cana-1120	210	12	speed	speed	NOUN
cana-1120	210	13	forecasting	forecasting	NOUN
cana-1120	210	14	in	in	ADP
cana-1120	210	15	three	three	NUM
cana-1120	210	16	different	different	ADJ
cana-1120	210	17	regions	region	NOUN
cana-1120	210	18	of	of	ADP
cana-1120	210	19	mexico	mexico	PROPN
cana-1120	210	20	,	,	PUNCT
cana-1120	210	21	using	use	VERB
cana-1120	210	22	a	a	DET
cana-1120	210	23	hybrid	hybrid	ADJ
cana-1120	210	24	arima	arima	NOUN
cana-1120	210	25	-	-	PUNCT
cana-1120	210	26	ann	ann	PROPN
cana-1120	210	27	model	model	NOUN
cana-1120	210	28	.	.	PUNCT
cana-1120	211	1	renewable	renewable	ADJ
cana-1120	211	2	energy	energy	NOUN
cana-1120	211	3	35(2010	35(2010	NOUN
cana-1120	211	4	)	)	PUNCT
cana-1120	211	5	,	,	PUNCT
cana-1120	211	6	2732–2738	2732–2738	NUM
cana-1120	211	7	.	.	PUNCT
cana-1120	212	1	[	[	X
cana-1120	212	2	13	13	NUM
cana-1120	212	3	]	]	X
cana-1120	212	4	chaabane	chaabane	ADV
cana-1120	212	5	,	,	PUNCT
cana-1120	212	6	n.	n.	NOUN
cana-1120	212	7	a	a	DET
cana-1120	212	8	hybrid	hybrid	ADJ
cana-1120	212	9	arfima	arfima	NOUN
cana-1120	212	10	and	and	CCONJ
cana-1120	212	11	neural	neural	ADJ
cana-1120	212	12	network	network	NOUN
cana-1120	212	13	model	model	NOUN
cana-1120	212	14	for	for	ADP
cana-1120	212	15	electricity	electricity	NOUN
cana-1120	212	16	price	price	NOUN
cana-1120	212	17	prediction	prediction	NOUN
cana-1120	212	18	.	.	PUNCT
cana-1120	213	1	international	international	ADJ
cana-1120	213	2	journal	journal	NOUN
cana-1120	213	3	of	of	ADP
cana-1120	213	4	electrical	electrical	ADJ
cana-1120	213	5	power	power	NOUN
cana-1120	213	6	and	and	CCONJ
cana-1120	213	7	energy	energy	NOUN
cana-1120	213	8	systems	system	NOUN
cana-1120	213	9	55	55	NUM
cana-1120	213	10	(	(	PUNCT
cana-1120	213	11	2014	2014	NUM
cana-1120	213	12	)	)	PUNCT
cana-1120	213	13	187–194	187–194	NUM
cana-1120	213	14	.	.	PUNCT
cana-1120	214	1	[	[	X
cana-1120	214	2	14	14	NUM
cana-1120	214	3	]	]	X
cana-1120	214	4	ruiz	ruiz	NOUN
cana-1120	214	5	-	-	PUNCT
cana-1120	214	6	sarmiento	sarmiento	NOUN
cana-1120	214	7	,	,	PUNCT
cana-1120	214	8	j.r	j.r	PROPN
cana-1120	214	9	.	.	PROPN
cana-1120	214	10	,	,	PUNCT
cana-1120	214	11	monroy	monroy	PROPN
cana-1120	214	12	,	,	PUNCT
cana-1120	214	13	j.	j.	PROPN
cana-1120	214	14	,	,	PUNCT
cana-1120	214	15	moreno	moreno	PROPN
cana-1120	214	16	,	,	PUNCT
cana-1120	214	17	f.a	f.a	PROPN
cana-1120	214	18	.	.	PROPN
cana-1120	214	19	,	,	PUNCT
cana-1120	214	20	galindo	galindo	PROPN
cana-1120	214	21	,	,	PUNCT
cana-1120	214	22	c.	c.	PROPN
cana-1120	214	23	,	,	PUNCT
cana-1120	214	24	bonelo	bonelo	NOUN
cana-1120	214	25	,	,	PUNCT
cana-1120	214	26	j.m	j.m	PROPN
cana-1120	214	27	.	.	PROPN
cana-1120	214	28	and	and	CCONJ
cana-1120	214	29	gonzalez	gonzalez	PROPN
cana-1120	214	30	-	-	PUNCT
cana-1120	214	31	jimenez	jimenez	PROPN
cana-1120	214	32	,	,	PUNCT
cana-1120	214	33	j.	j.	PROPN
cana-1120	214	34	a	a	DET
cana-1120	214	35	predictive	predictive	ADJ
cana-1120	214	36	model	model	NOUN
cana-1120	214	37	for	for	ADP
cana-1120	214	38	the	the	DET
cana-1120	214	39	maintenance	maintenance	NOUN
cana-1120	214	40	of	of	ADP
cana-1120	214	41	industrial	industrial	ADJ
cana-1120	214	42	machinery	machinery	NOUN
cana-1120	214	43	in	in	ADP
cana-1120	214	44	the	the	DET
cana-1120	214	45	context	context	NOUN
cana-1120	214	46	of	of	ADP
cana-1120	214	47	industry	industry	NOUN
cana-1120	214	48	4.0	4.0	NUM
cana-1120	214	49	.	.	PUNCT
cana-1120	215	1	engineering	engineering	NOUN
cana-1120	215	2	applications	application	NOUN
cana-1120	215	3	of	of	ADP
cana-1120	215	4	artificial	artificial	ADJ
cana-1120	215	5	intelligence	intelligence	NOUN
cana-1120	215	6	87	87	NUM
cana-1120	215	7	(	(	PUNCT
cana-1120	215	8	2020	2020	NUM
cana-1120	215	9	)	)	PUNCT
cana-1120	215	10	103289	103289	NUM
cana-1120	215	11	.	.	PUNCT
cana-1120	216	1	[	[	X
cana-1120	216	2	15	15	NUM
cana-1120	216	3	]	]	X
cana-1120	216	4	zhu	zhu	PROPN
cana-1120	216	5	,	,	PUNCT
cana-1120	216	6	b.	b.	PROPN
cana-1120	216	7	,	,	PUNCT
cana-1120	216	8	wei	wei	PROPN
cana-1120	216	9	,	,	PUNCT
cana-1120	216	10	y.	y.	PROPN
cana-1120	216	11	carbon	carbon	NOUN
cana-1120	216	12	price	price	NOUN
cana-1120	216	13	forecasting	forecasting	NOUN
cana-1120	216	14	with	with	ADP
cana-1120	216	15	a	a	DET
cana-1120	216	16	novel	novel	ADJ
cana-1120	216	17	hybrid	hybrid	ADJ
cana-1120	216	18	arima	arima	NOUN
cana-1120	216	19	and	and	CCONJ
cana-1120	216	20	least	least	ADJ
cana-1120	216	21	squares	square	NOUN
cana-1120	216	22	support	support	VERB
cana-1120	216	23	vector	vector	NOUN
cana-1120	216	24	machines	machine	NOUN
cana-1120	216	25	methodology	methodology	NOUN
cana-1120	216	26	.	.	PUNCT
cana-1120	217	1	omega	omega	NOUN
cana-1120	217	2	41(2013	41(2013	NUM
cana-1120	217	3	)	)	PUNCT
cana-1120	217	4	,	,	PUNCT
cana-1120	217	5	517–524	517–524	NUM
cana-1120	217	6	.	.	PUNCT
cana-1120	218	1	[	[	X
cana-1120	218	2	16	16	NUM
cana-1120	218	3	]	]	X
cana-1120	218	4	barak	barak	PROPN
cana-1120	218	5	,	,	PUNCT
cana-1120	218	6	s.	s.	PROPN
cana-1120	218	7	and	and	CCONJ
cana-1120	218	8	sadegh	sadegh	PROPN
cana-1120	218	9	,	,	PUNCT
cana-1120	218	10	s.s	s.s	PROPN
cana-1120	218	11	.	.	PROPN
cana-1120	218	12	forecasting	forecast	VERB
cana-1120	218	13	energy	energy	NOUN
cana-1120	218	14	consumption	consumption	NOUN
cana-1120	218	15	using	use	VERB
cana-1120	218	16	ensemble	ensemble	ADJ
cana-1120	218	17	arima	arima	NOUN
cana-1120	218	18	-	-	PUNCT
cana-1120	218	19	anfis	anfi	VERB
cana-1120	218	20	hybrid	hybrid	ADJ
cana-1120	218	21	algorithm	algorithm	NOUN
cana-1120	218	22	.	.	PUNCT
cana-1120	219	1	international	international	ADJ
cana-1120	219	2	journal	journal	NOUN
cana-1120	219	3	of	of	ADP
cana-1120	219	4	electrical	electrical	ADJ
cana-1120	219	5	power	power	NOUN
cana-1120	219	6	and	and	CCONJ
cana-1120	219	7	energy	energy	NOUN
cana-1120	219	8	systems	system	NOUN
cana-1120	219	9	82	82	NUM
cana-1120	219	10	(	(	PUNCT
cana-1120	219	11	2013	2013	NUM
cana-1120	219	12	)	)	PUNCT
cana-1120	219	13	,	,	PUNCT
cana-1120	219	14	92–104	92–104	PROPN
cana-1120	219	15	.	.	PUNCT
cana-1120	220	1	[	[	X
cana-1120	220	2	17	17	NUM
cana-1120	220	3	]	]	X
cana-1120	220	4	wang	wang	PROPN
cana-1120	220	5	,	,	PUNCT
cana-1120	220	6	l.	l.	PROPN
cana-1120	220	7	,	,	PUNCT
cana-1120	220	8	zou	zou	PROPN
cana-1120	220	9	,	,	PUNCT
cana-1120	220	10	h.	h.	PROPN
cana-1120	220	11	,	,	PUNCT
cana-1120	220	12	su	su	PROPN
cana-1120	220	13	,	,	PUNCT
cana-1120	220	14	j.	j.	PROPN
cana-1120	220	15	,	,	PUNCT
cana-1120	220	16	li	li	PROPN
cana-1120	220	17	,	,	PUNCT
cana-1120	220	18	l.	l.	PROPN
cana-1120	220	19	,	,	PUNCT
cana-1120	220	20	and	and	CCONJ
cana-1120	220	21	chaudhry	chaudhry	PROPN
cana-1120	220	22	,	,	PUNCT
cana-1120	220	23	s.	s.	PROPN
cana-1120	220	24	an	an	DET
cana-1120	220	25	arima	arima	PROPN
cana-1120	220	26	-	-	PUNCT
cana-1120	220	27	ann	ann	PROPN
cana-1120	220	28	hybrid	hybrid	NOUN
cana-1120	220	29	model	model	NOUN
cana-1120	220	30	for	for	ADP
cana-1120	220	31	time	time	NOUN
cana-1120	220	32	series	series	PROPN
cana-1120	220	33	forecasting	forecasting	PROPN
cana-1120	220	34	.	.	PUNCT
cana-1120	221	1	systems	system	NOUN
cana-1120	221	2	research	research	NOUN
cana-1120	221	3	and	and	CCONJ
cana-1120	221	4	behavioral	behavioral	ADJ
cana-1120	221	5	science	science	NOUN
cana-1120	221	6	30(2013	30(2013	NUM
cana-1120	221	7	)	)	PUNCT
cana-1120	221	8	,	,	PUNCT
cana-1120	221	9	244–259	244–259	NUM
cana-1120	221	10	.	.	PUNCT
cana-1120	222	1	[	[	X
cana-1120	222	2	18	18	NUM
cana-1120	222	3	]	]	X
cana-1120	222	4	fawzy	fawzy	PROPN
cana-1120	222	5	,	,	PUNCT
cana-1120	222	6	h.	h.	PROPN
cana-1120	222	7	,	,	PUNCT
cana-1120	222	8	rady	rady	PROPN
cana-1120	222	9	,	,	PUNCT
cana-1120	222	10	e.h.a	e.h.a	ADJ
cana-1120	222	11	.	.	PROPN
cana-1120	222	12	,	,	PUNCT
cana-1120	222	13	fattah	fattah	PROPN
cana-1120	222	14	,	,	PUNCT
cana-1120	222	15	a.m.a	a.m.a	NOUN
cana-1120	222	16	.	.	PUNCT
cana-1120	222	17	:	:	PUNCT
cana-1120	222	18	comparison	comparison	NOUN
cana-1120	222	19	between	between	ADP
cana-1120	222	20	support	support	NOUN
cana-1120	222	21	vector	vector	NOUN
cana-1120	222	22	machines	machine	NOUN
cana-1120	222	23	and	and	CCONJ
cana-1120	222	24	k	k	NOUN
cana-1120	222	25	-	-	PUNCT
cana-1120	222	26	nearest	near	ADJ
cana-1120	222	27	neighbor	neighbor	NOUN
cana-1120	222	28	for	for	ADP
cana-1120	222	29	time	time	NOUN
cana-1120	222	30	series	series	PROPN
cana-1120	222	31	forecasting	forecasting	PROPN
cana-1120	222	32	,	,	PUNCT
cana-1120	222	33	journal	journal	NOUN
cana-1120	222	34	of	of	ADP
cana-1120	222	35	mathematical	mathematical	ADJ
cana-1120	222	36	and	and	CCONJ
cana-1120	222	37	computational	computational	ADJ
cana-1120	222	38	science	science	NOUN
cana-1120	222	39	10(2020	10(2020	NUM
cana-1120	222	40	)	)	PUNCT
cana-1120	222	41	;	;	PUNCT
cana-1120	222	42	2342–2359	2342–2359	NUM
cana-1120	222	43	.	.	PUNCT
cana-1120	223	1	[	[	X
cana-1120	223	2	19	19	NUM
cana-1120	223	3	]	]	X
cana-1120	223	4	khim	khim	PROPN
cana-1120	223	5	,	,	PUNCT
cana-1120	223	6	l.	l.	PROPN
cana-1120	223	7	,	,	PUNCT
cana-1120	223	8	shitan	shitan	PROPN
cana-1120	223	9	,	,	PUNCT
cana-1120	223	10	m.	m.	NOUN
cana-1120	223	11	the	the	DET
cana-1120	223	12	performance	performance	NOUN
cana-1120	223	13	of	of	ADP
cana-1120	223	14	aicc	aicc	NOUN
cana-1120	223	15	as	as	ADP
cana-1120	223	16	an	an	DET
cana-1120	223	17	order	order	NOUN
cana-1120	223	18	selection	selection	NOUN
cana-1120	223	19	criterion	criterion	NOUN
cana-1120	223	20	in	in	ADP
cana-1120	223	21	arma	arma	PROPN
cana-1120	223	22	time	time	PROPN
cana-1120	223	23	series	series	PROPN
cana-1120	223	24	models	model	NOUN
cana-1120	223	25	,	,	PUNCT
cana-1120	223	26	pertanika	pertanika	NOUN
cana-1120	223	27	journal	journal	NOUN
cana-1120	223	28	of	of	ADP
cana-1120	223	29	science	science	NOUN
cana-1120	223	30	and	and	CCONJ
cana-1120	223	31	technology	technology	NOUN
cana-1120	223	32	10(2022	10(2022	PROPN
cana-1120	223	33	)	)	PUNCT
cana-1120	223	34	,	,	PUNCT
cana-1120	223	35	25–33	25–33	NUM
cana-1120	223	36	.	.	PUNCT