id	sid	tid	token	lemma	pos
aiti-14192	1	1	microsoft	microsoft	PROPN
aiti-14192	1	2	word	word	NOUN
aiti-14192	1	3	1	1	NUM
aiti-14192	1	4	-	-	PUNCT
aiti-14192	1	5	v10n2(2025)-aiti#14192(85	v10n2(2025)-aiti#14192(85	NUM
aiti-14192	1	6	-	-	SYM
aiti-14192	1	7	101).docx	101).docx	NUM
aiti-14192	1	8	advances	advance	NOUN
aiti-14192	1	9	in	in	ADP
aiti-14192	1	10	technology	technology	NOUN
aiti-14192	1	11	innovation	innovation	NOUN
aiti-14192	1	12	,	,	PUNCT
aiti-14192	1	13	vol	vol	NOUN
aiti-14192	1	14	.	.	PROPN
aiti-14192	1	15	10	10	NUM
aiti-14192	1	16	,	,	PUNCT
aiti-14192	1	17	no	no	INTJ
aiti-14192	1	18	.	.	NOUN
aiti-14192	1	19	2	2	NUM
aiti-14192	1	20	,	,	PUNCT
aiti-14192	1	21	2025	2025	NUM
aiti-14192	1	22	,	,	PUNCT
aiti-14192	1	23	pp	pp	ADJ
aiti-14192	1	24	.	.	PUNCT
aiti-14192	1	25	85	85	NUM
aiti-14192	1	26	-	-	SYM
aiti-14192	1	27	101	101	NUM
aiti-14192	1	28	english	english	ADJ
aiti-14192	1	29	language	language	NOUN
aiti-14192	1	30	proofreader	proofreader	NOUN
aiti-14192	1	31	:	:	PUNCT
aiti-14192	1	32	chih	chih	PROPN
aiti-14192	1	33	-	-	PUNCT
aiti-14192	1	34	wei	wei	PROPN
aiti-14192	1	35	chang	chang	PROPN
aiti-14192	1	36	optimizing	optimize	VERB
aiti-14192	1	37	lags	lag	NOUN
aiti-14192	1	38	and	and	CCONJ
aiti-14192	1	39	hidden	hidden	ADJ
aiti-14192	1	40	layers	layer	NOUN
aiti-14192	1	41	in	in	ADP
aiti-14192	1	42	hybrid	hybrid	ADJ
aiti-14192	1	43	models	model	NOUN
aiti-14192	1	44	for	for	ADP
aiti-14192	1	45	forecasting	forecast	VERB
aiti-14192	1	46	stock	stock	NOUN
aiti-14192	1	47	return	return	VERB
aiti-14192	1	48	nuttaphat	nuttaphat	DET
aiti-14192	1	49	sukchitt1	sukchitt1	NOUN
aiti-14192	1	50	,	,	PUNCT
aiti-14192	1	51	manad	manad	PROPN
aiti-14192	1	52	khamkong2	khamkong2	PROPN
aiti-14192	1	53	,	,	PUNCT
aiti-14192	1	54	*	*	PUNCT
aiti-14192	1	55	,	,	PUNCT
aiti-14192	1	56	lampang	lampang	PROPN
aiti-14192	1	57	saechan2	saechan2	PROPN
aiti-14192	1	58	,	,	PUNCT
aiti-14192	1	59	napon	napon	ADV
aiti-14192	1	60	hongsakulvasu3	hongsakulvasu3	NOUN
aiti-14192	1	61	1program	1program	NUM
aiti-14192	1	62	in	in	ADP
aiti-14192	1	63	applied	applied	ADJ
aiti-14192	1	64	statistics	statistic	NOUN
aiti-14192	1	65	,	,	PUNCT
aiti-14192	1	66	department	department	NOUN
aiti-14192	1	67	of	of	ADP
aiti-14192	1	68	statistics	statistic	NOUN
aiti-14192	1	69	,	,	PUNCT
aiti-14192	1	70	faculty	faculty	NOUN
aiti-14192	1	71	of	of	ADP
aiti-14192	1	72	science	science	NOUN
aiti-14192	1	73	,	,	PUNCT
aiti-14192	1	74	chiang	chiang	PROPN
aiti-14192	1	75	mai	mai	PROPN
aiti-14192	1	76	university	university	PROPN
aiti-14192	1	77	,	,	PUNCT
aiti-14192	1	78	chiang	chiang	PROPN
aiti-14192	1	79	mai	mai	PROPN
aiti-14192	1	80	,	,	PUNCT
aiti-14192	1	81	thailand	thailand	PROPN
aiti-14192	2	1	2department	2department	NUM
aiti-14192	2	2	of	of	ADP
aiti-14192	2	3	statistics	statistic	NOUN
aiti-14192	2	4	,	,	PUNCT
aiti-14192	2	5	faculty	faculty	NOUN
aiti-14192	2	6	of	of	ADP
aiti-14192	2	7	science	science	NOUN
aiti-14192	2	8	,	,	PUNCT
aiti-14192	2	9	chiang	chiang	PROPN
aiti-14192	2	10	mai	mai	PROPN
aiti-14192	2	11	university	university	PROPN
aiti-14192	2	12	,	,	PUNCT
aiti-14192	2	13	chiang	chiang	PROPN
aiti-14192	2	14	mai	mai	PROPN
aiti-14192	2	15	,	,	PUNCT
aiti-14192	2	16	thailand	thailand	PROPN
aiti-14192	2	17	3faculty	3faculty	NUM
aiti-14192	2	18	of	of	ADP
aiti-14192	2	19	economics	economic	NOUN
aiti-14192	2	20	,	,	PUNCT
aiti-14192	2	21	chiang	chiang	PROPN
aiti-14192	2	22	mai	mai	PROPN
aiti-14192	2	23	university	university	PROPN
aiti-14192	2	24	,	,	PUNCT
aiti-14192	2	25	chiang	chiang	PROPN
aiti-14192	2	26	mai	mai	PROPN
aiti-14192	2	27	,	,	PUNCT
aiti-14192	2	28	thailand	thailand	PROPN
aiti-14192	2	29	received	receive	VERB
aiti-14192	2	30	26	26	NUM
aiti-14192	2	31	august	august	PROPN
aiti-14192	2	32	2024	2024	NUM
aiti-14192	2	33	;	;	PUNCT
aiti-14192	2	34	received	receive	VERB
aiti-14192	2	35	in	in	ADP
aiti-14192	2	36	revised	revise	VERB
aiti-14192	2	37	form	form	NOUN
aiti-14192	2	38	24	24	NUM
aiti-14192	2	39	october	october	PROPN
aiti-14192	2	40	2024	2024	NUM
aiti-14192	2	41	;	;	PUNCT
aiti-14192	2	42	accepted	accept	VERB
aiti-14192	2	43	25	25	NUM
aiti-14192	2	44	october	october	PROPN
aiti-14192	2	45	2024	2024	NUM
aiti-14192	2	46	doi	doi	NOUN
aiti-14192	2	47	:	:	PUNCT
aiti-14192	2	48	https://doi.org/10.46604/aiti.2024.14192	https://doi.org/10.46604/aiti.2024.14192	PROPN
aiti-14192	2	49	abstract	abstract	ADJ
aiti-14192	2	50	this	this	DET
aiti-14192	2	51	study	study	NOUN
aiti-14192	2	52	aims	aim	VERB
aiti-14192	2	53	to	to	PART
aiti-14192	2	54	minimize	minimize	VERB
aiti-14192	2	55	the	the	DET
aiti-14192	2	56	root	root	NOUN
aiti-14192	2	57	mean	mean	VERB
aiti-14192	2	58	square	square	ADJ
aiti-14192	2	59	error	error	NOUN
aiti-14192	2	60	for	for	ADP
aiti-14192	2	61	stock	stock	NOUN
aiti-14192	2	62	return	return	NOUN
aiti-14192	2	63	by	by	ADP
aiti-14192	2	64	optimizing	optimize	VERB
aiti-14192	2	65	lags	lag	NOUN
aiti-14192	2	66	and	and	CCONJ
aiti-14192	2	67	hidden	hidden	ADJ
aiti-14192	2	68	layers	layer	NOUN
aiti-14192	2	69	in	in	ADP
aiti-14192	2	70	a	a	DET
aiti-14192	2	71	hybrid	hybrid	ADJ
aiti-14192	2	72	model	model	NOUN
aiti-14192	2	73	.	.	PUNCT
aiti-14192	3	1	the	the	DET
aiti-14192	3	2	model	model	NOUN
aiti-14192	3	3	combines	combine	VERB
aiti-14192	3	4	the	the	DET
aiti-14192	3	5	autoregressive	autoregressive	ADJ
aiti-14192	3	6	integrated	integrated	ADJ
aiti-14192	3	7	moving	move	VERB
aiti-14192	3	8	average	average	NOUN
aiti-14192	3	9	with	with	ADP
aiti-14192	3	10	the	the	DET
aiti-14192	3	11	exogenous	exogenous	ADJ
aiti-14192	3	12	variables	variable	NOUN
aiti-14192	3	13	model	model	NOUN
aiti-14192	3	14	as	as	ADP
aiti-14192	3	15	linear	linear	ADJ
aiti-14192	3	16	components	component	NOUN
aiti-14192	3	17	.	.	PUNCT
aiti-14192	4	1	the	the	DET
aiti-14192	4	2	residuals	residual	NOUN
aiti-14192	4	3	derived	derive	VERB
aiti-14192	4	4	from	from	ADP
aiti-14192	4	5	linear	linear	ADJ
aiti-14192	4	6	components	component	NOUN
aiti-14192	4	7	are	be	AUX
aiti-14192	4	8	used	use	VERB
aiti-14192	4	9	in	in	ADP
aiti-14192	4	10	artificial	artificial	ADJ
aiti-14192	4	11	neural	neural	ADJ
aiti-14192	4	12	networks	network	NOUN
aiti-14192	4	13	and	and	CCONJ
aiti-14192	4	14	elman	elman	NOUN
aiti-14192	4	15	recurrent	recurrent	ADJ
aiti-14192	4	16	neural	neural	ADJ
aiti-14192	4	17	networks	network	NOUN
aiti-14192	4	18	as	as	ADP
aiti-14192	4	19	non	non	ADJ
aiti-14192	4	20	-	-	ADJ
aiti-14192	4	21	linear	linear	ADJ
aiti-14192	4	22	components	component	NOUN
aiti-14192	4	23	.	.	PUNCT
aiti-14192	5	1	a	a	DET
aiti-14192	5	2	key	key	ADJ
aiti-14192	5	3	feature	feature	NOUN
aiti-14192	5	4	of	of	ADP
aiti-14192	5	5	this	this	DET
aiti-14192	5	6	approach	approach	NOUN
aiti-14192	5	7	is	be	AUX
aiti-14192	5	8	optimizing	optimize	VERB
aiti-14192	5	9	the	the	DET
aiti-14192	5	10	selection	selection	NOUN
aiti-14192	5	11	of	of	ADP
aiti-14192	5	12	hidden	hide	VERB
aiti-14192	5	13	layers	layer	NOUN
aiti-14192	5	14	and	and	CCONJ
aiti-14192	5	15	lags	lag	VERB
aiti-14192	5	16	within	within	ADP
aiti-14192	5	17	the	the	DET
aiti-14192	5	18	neural	neural	ADJ
aiti-14192	5	19	network	network	NOUN
aiti-14192	5	20	,	,	PUNCT
aiti-14192	5	21	improving	improve	VERB
aiti-14192	5	22	forecasting	forecasting	NOUN
aiti-14192	5	23	accuracy	accuracy	NOUN
aiti-14192	5	24	.	.	PUNCT
aiti-14192	6	1	the	the	DET
aiti-14192	6	2	minimum	minimum	ADJ
aiti-14192	6	3	mean	mean	NOUN
aiti-14192	6	4	square	square	NOUN
aiti-14192	6	5	error	error	NOUN
aiti-14192	6	6	forecast	forecast	NOUN
aiti-14192	6	7	expression	expression	NOUN
aiti-14192	6	8	is	be	AUX
aiti-14192	6	9	derived	derive	VERB
aiti-14192	6	10	,	,	PUNCT
aiti-14192	6	11	and	and	CCONJ
aiti-14192	6	12	the	the	DET
aiti-14192	6	13	model	model	NOUN
aiti-14192	6	14	is	be	AUX
aiti-14192	6	15	tested	test	VERB
aiti-14192	6	16	on	on	ADP
aiti-14192	6	17	stock	stock	NOUN
aiti-14192	6	18	price	price	NOUN
aiti-14192	6	19	data	datum	NOUN
aiti-14192	6	20	during	during	ADP
aiti-14192	6	21	the	the	DET
aiti-14192	6	22	covid-19	covid-19	PROPN
aiti-14192	6	23	period	period	NOUN
aiti-14192	6	24	,	,	PUNCT
aiti-14192	6	25	marked	mark	VERB
aiti-14192	6	26	by	by	ADP
aiti-14192	6	27	significant	significant	ADJ
aiti-14192	6	28	market	market	NOUN
aiti-14192	6	29	shocks	shock	NOUN
aiti-14192	6	30	.	.	PUNCT
aiti-14192	7	1	the	the	DET
aiti-14192	7	2	root	root	NOUN
aiti-14192	7	3	mean	mean	VERB
aiti-14192	7	4	square	square	ADJ
aiti-14192	7	5	error	error	NOUN
aiti-14192	7	6	results	result	NOUN
aiti-14192	7	7	for	for	ADP
aiti-14192	7	8	the	the	DET
aiti-14192	7	9	proposed	propose	VERB
aiti-14192	7	10	model	model	NOUN
aiti-14192	7	11	,	,	PUNCT
aiti-14192	7	12	traditional	traditional	ADJ
aiti-14192	7	13	hybrid	hybrid	ADJ
aiti-14192	7	14	model	model	NOUN
aiti-14192	7	15	,	,	PUNCT
aiti-14192	7	16	and	and	CCONJ
aiti-14192	7	17	traditional	traditional	ADJ
aiti-14192	7	18	time	time	NOUN
aiti-14192	7	19	series	series	PROPN
aiti-14192	7	20	model	model	PROPN
aiti-14192	7	21	range	range	VERB
aiti-14192	7	22	from	from	ADP
aiti-14192	7	23	0.0004	0.0004	NUM
aiti-14192	7	24	to	to	ADP
aiti-14192	7	25	0.01	0.01	NUM
aiti-14192	7	26	,	,	PUNCT
aiti-14192	7	27	0.0006	0.0006	NUM
aiti-14192	7	28	to	to	ADP
aiti-14192	7	29	0.01	0.01	NUM
aiti-14192	7	30	,	,	PUNCT
aiti-14192	7	31	and	and	CCONJ
aiti-14192	7	32	0.006	0.006	NUM
aiti-14192	7	33	to	to	ADP
aiti-14192	7	34	0.03	0.03	NUM
aiti-14192	7	35	,	,	PUNCT
aiti-14192	7	36	respectively	respectively	ADV
aiti-14192	7	37	.	.	PUNCT
aiti-14192	8	1	the	the	DET
aiti-14192	8	2	results	result	NOUN
aiti-14192	8	3	show	show	VERB
aiti-14192	8	4	that	that	SCONJ
aiti-14192	8	5	the	the	DET
aiti-14192	8	6	proposed	propose	VERB
aiti-14192	8	7	model	model	NOUN
aiti-14192	8	8	outperforms	outperform	VERB
aiti-14192	8	9	both	both	DET
aiti-14192	8	10	traditional	traditional	ADJ
aiti-14192	8	11	models	model	NOUN
aiti-14192	8	12	.	.	PUNCT
aiti-14192	9	1	keywords	keyword	NOUN
aiti-14192	9	2	:	:	PUNCT
aiti-14192	10	1	econometrics	econometric	NOUN
aiti-14192	10	2	,	,	PUNCT
aiti-14192	10	3	hybrid	hybrid	ADJ
aiti-14192	10	4	model	model	NOUN
aiti-14192	10	5	,	,	PUNCT
aiti-14192	10	6	ann	ann	PROPN
aiti-14192	10	7	,	,	PUNCT
aiti-14192	10	8	arimax	arimax	PROPN
aiti-14192	10	9	,	,	PUNCT
aiti-14192	10	10	ernn	ernn	PROPN
aiti-14192	10	11	1	1	NUM
aiti-14192	10	12	.	.	PUNCT
aiti-14192	10	13	introduction	introduction	NOUN
aiti-14192	10	14	in	in	ADP
aiti-14192	10	15	recent	recent	ADJ
aiti-14192	10	16	years	year	NOUN
aiti-14192	10	17	,	,	PUNCT
aiti-14192	10	18	the	the	DET
aiti-14192	10	19	financial	financial	ADJ
aiti-14192	10	20	industry	industry	NOUN
aiti-14192	10	21	has	have	AUX
aiti-14192	10	22	recognized	recognize	VERB
aiti-14192	10	23	the	the	DET
aiti-14192	10	24	paramount	paramount	ADJ
aiti-14192	10	25	importance	importance	NOUN
aiti-14192	10	26	of	of	ADP
aiti-14192	10	27	forecasting	forecast	VERB
aiti-14192	10	28	stock	stock	NOUN
aiti-14192	10	29	market	market	NOUN
aiti-14192	10	30	trends	trend	NOUN
aiti-14192	10	31	.	.	PUNCT
aiti-14192	11	1	however	however	ADV
aiti-14192	11	2	,	,	PUNCT
aiti-14192	11	3	the	the	DET
aiti-14192	11	4	task	task	NOUN
aiti-14192	11	5	of	of	ADP
aiti-14192	11	6	predicting	predict	VERB
aiti-14192	11	7	stock	stock	NOUN
aiti-14192	11	8	market	market	NOUN
aiti-14192	11	9	movements	movement	NOUN
aiti-14192	11	10	has	have	AUX
aiti-14192	11	11	become	become	VERB
aiti-14192	11	12	increasingly	increasingly	ADV
aiti-14192	11	13	complex	complex	ADJ
aiti-14192	11	14	due	due	ADP
aiti-14192	11	15	to	to	ADP
aiti-14192	11	16	the	the	DET
aiti-14192	11	17	influence	influence	NOUN
aiti-14192	11	18	of	of	ADP
aiti-14192	11	19	exogenous	exogenous	ADJ
aiti-14192	11	20	variables	variable	NOUN
aiti-14192	11	21	.	.	PUNCT
aiti-14192	12	1	external	external	ADJ
aiti-14192	12	2	events	event	NOUN
aiti-14192	12	3	,	,	PUNCT
aiti-14192	12	4	ranging	range	VERB
aiti-14192	12	5	from	from	ADP
aiti-14192	12	6	geopolitical	geopolitical	ADJ
aiti-14192	12	7	developments	development	NOUN
aiti-14192	12	8	to	to	ADP
aiti-14192	12	9	unforeseen	unforeseen	ADJ
aiti-14192	12	10	global	global	ADJ
aiti-14192	12	11	crises	crisis	NOUN
aiti-14192	12	12	,	,	PUNCT
aiti-14192	12	13	introduce	introduce	VERB
aiti-14192	12	14	significant	significant	ADJ
aiti-14192	12	15	volatility	volatility	NOUN
aiti-14192	12	16	and	and	CCONJ
aiti-14192	12	17	unpredictability	unpredictability	NOUN
aiti-14192	12	18	,	,	PUNCT
aiti-14192	12	19	presenting	present	VERB
aiti-14192	12	20	a	a	DET
aiti-14192	12	21	formidable	formidable	ADJ
aiti-14192	12	22	challenge	challenge	NOUN
aiti-14192	12	23	to	to	ADP
aiti-14192	12	24	traditional	traditional	ADJ
aiti-14192	12	25	forecasting	forecasting	NOUN
aiti-14192	12	26	models	model	NOUN
aiti-14192	12	27	.	.	PUNCT
aiti-14192	13	1	in	in	ADP
aiti-14192	13	2	response	response	NOUN
aiti-14192	13	3	to	to	ADP
aiti-14192	13	4	these	these	DET
aiti-14192	13	5	challenges	challenge	NOUN
aiti-14192	13	6	,	,	PUNCT
aiti-14192	13	7	this	this	DET
aiti-14192	13	8	paper	paper	NOUN
aiti-14192	13	9	introduces	introduce	VERB
aiti-14192	13	10	an	an	DET
aiti-14192	13	11	innovative	innovative	ADJ
aiti-14192	13	12	approach	approach	NOUN
aiti-14192	13	13	that	that	PRON
aiti-14192	13	14	amalgamates	amalgamate	VERB
aiti-14192	13	15	time	time	NOUN
aiti-14192	13	16	series	series	PROPN
aiti-14192	13	17	analysis	analysis	NOUN
aiti-14192	13	18	with	with	ADP
aiti-14192	13	19	neural	neural	ADJ
aiti-14192	13	20	network	network	NOUN
aiti-14192	13	21	methodologies	methodology	NOUN
aiti-14192	13	22	.	.	PUNCT
aiti-14192	14	1	by	by	ADP
aiti-14192	14	2	hybridizing	hybridize	VERB
aiti-14192	14	3	these	these	DET
aiti-14192	14	4	techniques	technique	NOUN
aiti-14192	14	5	,	,	PUNCT
aiti-14192	14	6	the	the	DET
aiti-14192	14	7	study	study	NOUN
aiti-14192	14	8	aims	aim	VERB
aiti-14192	14	9	to	to	PART
aiti-14192	14	10	enhance	enhance	VERB
aiti-14192	14	11	the	the	DET
aiti-14192	14	12	predictive	predictive	ADJ
aiti-14192	14	13	accuracy	accuracy	NOUN
aiti-14192	14	14	of	of	ADP
aiti-14192	14	15	stock	stock	NOUN
aiti-14192	14	16	market	market	NOUN
aiti-14192	14	17	forecasts	forecast	NOUN
aiti-14192	14	18	in	in	ADP
aiti-14192	14	19	the	the	DET
aiti-14192	14	20	presence	presence	NOUN
aiti-14192	14	21	of	of	ADP
aiti-14192	14	22	exogenous	exogenous	ADJ
aiti-14192	14	23	variables	variable	NOUN
aiti-14192	14	24	.	.	PUNCT
aiti-14192	15	1	central	central	ADJ
aiti-14192	15	2	to	to	ADP
aiti-14192	15	3	the	the	DET
aiti-14192	15	4	approach	approach	NOUN
aiti-14192	15	5	,	,	PUNCT
aiti-14192	15	6	the	the	DET
aiti-14192	15	7	application	application	NOUN
aiti-14192	15	8	of	of	ADP
aiti-14192	15	9	the	the	DET
aiti-14192	15	10	autoregressive	autoregressive	ADJ
aiti-14192	15	11	integrated	integrated	ADJ
aiti-14192	15	12	moving	move	VERB
aiti-14192	15	13	average	average	ADJ
aiti-14192	15	14	(	(	PUNCT
aiti-14192	15	15	arima	arima	PROPN
aiti-14192	15	16	)	)	PUNCT
aiti-14192	15	17	model	model	NOUN
aiti-14192	15	18	symbolizes	symbolize	VERB
aiti-14192	15	19	a	a	DET
aiti-14192	15	20	cornerstone	cornerstone	NOUN
aiti-14192	15	21	of	of	ADP
aiti-14192	15	22	time	time	NOUN
aiti-14192	15	23	series	series	NOUN
aiti-14192	15	24	analysis	analysis	NOUN
aiti-14192	15	25	known	know	VERB
aiti-14192	15	26	for	for	ADP
aiti-14192	15	27	its	its	PRON
aiti-14192	15	28	efficacy	efficacy	NOUN
aiti-14192	15	29	in	in	ADP
aiti-14192	15	30	capturing	capture	VERB
aiti-14192	15	31	temporal	temporal	ADJ
aiti-14192	15	32	dynamics	dynamic	NOUN
aiti-14192	15	33	in	in	ADP
aiti-14192	15	34	financial	financial	ADJ
aiti-14192	15	35	data	datum	NOUN
aiti-14192	15	36	.	.	PUNCT
aiti-14192	16	1	to	to	PART
aiti-14192	16	2	account	account	VERB
aiti-14192	16	3	for	for	ADP
aiti-14192	16	4	the	the	DET
aiti-14192	16	5	impact	impact	NOUN
aiti-14192	16	6	of	of	ADP
aiti-14192	16	7	external	external	ADJ
aiti-14192	16	8	events	event	NOUN
aiti-14192	16	9	,	,	PUNCT
aiti-14192	16	10	the	the	DET
aiti-14192	16	11	arima	arima	NOUN
aiti-14192	16	12	model	model	NOUN
aiti-14192	16	13	is	be	AUX
aiti-14192	16	14	extended	extend	VERB
aiti-14192	16	15	to	to	ADP
aiti-14192	16	16	an	an	DET
aiti-14192	16	17	autoregressive	autoregressive	ADJ
aiti-14192	16	18	integrated	integrated	ADJ
aiti-14192	16	19	moving	move	VERB
aiti-14192	16	20	average	average	NOUN
aiti-14192	16	21	with	with	ADP
aiti-14192	16	22	exogenous	exogenous	ADJ
aiti-14192	16	23	variables	variable	NOUN
aiti-14192	16	24	(	(	PUNCT
aiti-14192	16	25	arimax	arimax	ADJ
aiti-14192	16	26	)	)	PUNCT
aiti-14192	16	27	framework	framework	NOUN
aiti-14192	16	28	,	,	PUNCT
aiti-14192	16	29	which	which	PRON
aiti-14192	16	30	incorporates	incorporate	VERB
aiti-14192	16	31	exogenous	exogenous	ADJ
aiti-14192	16	32	variables	variable	NOUN
aiti-14192	16	33	into	into	ADP
aiti-14192	16	34	the	the	DET
aiti-14192	16	35	forecasting	forecasting	NOUN
aiti-14192	16	36	equation	equation	NOUN
aiti-14192	16	37	,	,	PUNCT
aiti-14192	16	38	thereby	thereby	ADV
aiti-14192	16	39	enriching	enrich	VERB
aiti-14192	16	40	contextual	contextual	ADJ
aiti-14192	16	41	understanding	understanding	NOUN
aiti-14192	16	42	and	and	CCONJ
aiti-14192	16	43	predictive	predictive	ADJ
aiti-14192	16	44	capability	capability	NOUN
aiti-14192	16	45	of	of	ADP
aiti-14192	16	46	the	the	DET
aiti-14192	16	47	model	model	NOUN
aiti-14192	17	1	[	[	X
aiti-14192	17	2	1	1	NUM
aiti-14192	17	3	]	]	PUNCT
aiti-14192	17	4	.	.	PUNCT
aiti-14192	18	1	furthermore	furthermore	ADV
aiti-14192	18	2	,	,	PUNCT
aiti-14192	18	3	the	the	DET
aiti-14192	18	4	study	study	NOUN
aiti-14192	18	5	delves	delve	VERB
aiti-14192	18	6	into	into	ADP
aiti-14192	18	7	the	the	DET
aiti-14192	18	8	realm	realm	NOUN
aiti-14192	18	9	of	of	ADP
aiti-14192	18	10	neural	neural	ADJ
aiti-14192	18	11	networks	network	NOUN
aiti-14192	18	12	,	,	PUNCT
aiti-14192	18	13	exploring	explore	VERB
aiti-14192	18	14	two	two	NUM
aiti-14192	18	15	pivotal	pivotal	ADJ
aiti-14192	18	16	architectures	architecture	NOUN
aiti-14192	18	17	:	:	PUNCT
aiti-14192	18	18	the	the	DET
aiti-14192	18	19	artificial	artificial	ADJ
aiti-14192	18	20	neural	neural	ADJ
aiti-14192	18	21	network	network	NOUN
aiti-14192	18	22	(	(	PUNCT
aiti-14192	18	23	ann	ann	PROPN
aiti-14192	18	24	)	)	PUNCT
aiti-14192	18	25	and	and	CCONJ
aiti-14192	18	26	the	the	DET
aiti-14192	18	27	elman	elman	PROPN
aiti-14192	18	28	recurrent	recurrent	ADJ
aiti-14192	18	29	neural	neural	ADJ
aiti-14192	18	30	network	network	NOUN
aiti-14192	18	31	(	(	PUNCT
aiti-14192	18	32	ernn	ernn	PROPN
aiti-14192	18	33	)	)	PUNCT
aiti-14192	19	1	[	[	X
aiti-14192	19	2	2	2	NUM
aiti-14192	19	3	]	]	PUNCT
aiti-14192	19	4	.	.	PUNCT
aiti-14192	20	1	these	these	DET
aiti-14192	20	2	models	model	NOUN
aiti-14192	20	3	are	be	AUX
aiti-14192	20	4	celebrated	celebrate	VERB
aiti-14192	20	5	for	for	ADP
aiti-14192	20	6	their	their	PRON
aiti-14192	20	7	ability	ability	NOUN
aiti-14192	20	8	to	to	PART
aiti-14192	20	9	learn	learn	VERB
aiti-14192	20	10	complex	complex	ADJ
aiti-14192	20	11	patterns	pattern	NOUN
aiti-14192	20	12	and	and	CCONJ
aiti-14192	20	13	dependencies	dependency	NOUN
aiti-14192	20	14	from	from	ADP
aiti-14192	20	15	data	datum	NOUN
aiti-14192	20	16	,	,	PUNCT
aiti-14192	20	17	enabling	enable	VERB
aiti-14192	20	18	these	these	DET
aiti-14192	20	19	models	model	NOUN
aiti-14192	20	20	to	to	PART
aiti-14192	20	21	render	render	VERB
aiti-14192	20	22	them	they	PRON
aiti-14192	20	23	ideally	ideally	ADV
aiti-14192	20	24	suitable	suitable	ADJ
aiti-14192	20	25	for	for	ADP
aiti-14192	20	26	forecasting	forecasting	NOUN
aiti-14192	20	27	tasks	task	NOUN
aiti-14192	20	28	*	*	PUNCT
aiti-14192	20	29	corresponding	correspond	VERB
aiti-14192	20	30	author	author	NOUN
aiti-14192	20	31	.	.	PUNCT
aiti-14192	21	1	e	e	X
aiti-14192	21	2	-	-	NOUN
aiti-14192	21	3	mail	mail	NOUN
aiti-14192	21	4	address	address	NOUN
aiti-14192	21	5	:	:	PUNCT
aiti-14192	21	6	manad.k@cmu.ac.th	manad.k@cmu.ac.th	PROPN
aiti-14192	21	7	86	86	NUM
aiti-14192	21	8	advances	advance	NOUN
aiti-14192	21	9	in	in	ADP
aiti-14192	21	10	technology	technology	NOUN
aiti-14192	21	11	innovation	innovation	NOUN
aiti-14192	21	12	,	,	PUNCT
aiti-14192	21	13	vol	vol	NOUN
aiti-14192	21	14	.	.	PROPN
aiti-14192	22	1	10	10	NUM
aiti-14192	22	2	,	,	PUNCT
aiti-14192	22	3	no	no	INTJ
aiti-14192	22	4	.	.	NOUN
aiti-14192	22	5	2	2	NUM
aiti-14192	22	6	,	,	PUNCT
aiti-14192	22	7	2025	2025	NUM
aiti-14192	22	8	,	,	PUNCT
aiti-14192	22	9	pp	pp	ADJ
aiti-14192	22	10	.	.	PUNCT
aiti-14192	23	1	85	85	NUM
aiti-14192	23	2	-	-	SYM
aiti-14192	23	3	101	101	NUM
aiti-14192	23	4	where	where	SCONJ
aiti-14192	23	5	non	non	ADJ
aiti-14192	23	6	-	-	ADJ
aiti-14192	23	7	linear	linear	ADJ
aiti-14192	23	8	relationships	relationship	NOUN
aiti-14192	23	9	are	be	AUX
aiti-14192	23	10	prevalent	prevalent	ADJ
aiti-14192	23	11	.	.	PUNCT
aiti-14192	24	1	the	the	DET
aiti-14192	24	2	research	research	NOUN
aiti-14192	24	3	investigates	investigate	VERB
aiti-14192	24	4	further	far	ADV
aiti-14192	24	5	by	by	ADP
aiti-14192	24	6	optimizing	optimize	VERB
aiti-14192	24	7	these	these	DET
aiti-14192	24	8	neural	neural	ADJ
aiti-14192	24	9	networks	network	NOUN
aiti-14192	24	10	,	,	PUNCT
aiti-14192	24	11	focusing	focus	VERB
aiti-14192	24	12	on	on	ADP
aiti-14192	24	13	the	the	DET
aiti-14192	24	14	identification	identification	NOUN
aiti-14192	24	15	of	of	ADP
aiti-14192	24	16	the	the	DET
aiti-14192	24	17	optimal	optimal	ADJ
aiti-14192	24	18	number	number	NOUN
aiti-14192	24	19	of	of	ADP
aiti-14192	24	20	lags	lag	NOUN
aiti-14192	24	21	and	and	CCONJ
aiti-14192	24	22	the	the	DET
aiti-14192	24	23	determination	determination	NOUN
aiti-14192	24	24	of	of	ADP
aiti-14192	24	25	the	the	DET
aiti-14192	24	26	appropriate	appropriate	ADJ
aiti-14192	24	27	number	number	NOUN
aiti-14192	24	28	of	of	ADP
aiti-14192	24	29	hidden	hidden	ADJ
aiti-14192	24	30	layers	layer	NOUN
aiti-14192	24	31	.	.	PUNCT
aiti-14192	25	1	this	this	DET
aiti-14192	25	2	optimization	optimization	NOUN
aiti-14192	25	3	process	process	NOUN
aiti-14192	25	4	is	be	AUX
aiti-14192	25	5	crucial	crucial	ADJ
aiti-14192	25	6	for	for	ADP
aiti-14192	25	7	developing	develop	VERB
aiti-14192	25	8	a	a	DET
aiti-14192	25	9	hybrid	hybrid	ADJ
aiti-14192	25	10	model	model	NOUN
aiti-14192	25	11	that	that	PRON
aiti-14192	25	12	synergizes	synergize	VERB
aiti-14192	25	13	the	the	DET
aiti-14192	25	14	strengths	strength	NOUN
aiti-14192	25	15	of	of	ADP
aiti-14192	25	16	time	time	NOUN
aiti-14192	25	17	series	series	NOUN
aiti-14192	25	18	analysis	analysis	NOUN
aiti-14192	25	19	and	and	CCONJ
aiti-14192	25	20	neural	neural	ADJ
aiti-14192	25	21	network	network	NOUN
aiti-14192	25	22	architectures	architecture	NOUN
aiti-14192	25	23	,	,	PUNCT
aiti-14192	25	24	proffering	proffer	VERB
aiti-14192	25	25	superior	superior	ADJ
aiti-14192	25	26	forecasting	forecasting	NOUN
aiti-14192	25	27	performance	performance	NOUN
aiti-14192	25	28	by	by	ADP
aiti-14192	25	29	comparing	compare	VERB
aiti-14192	25	30	minimum	minimum	ADJ
aiti-14192	25	31	mean	mean	NOUN
aiti-14192	25	32	square	square	NOUN
aiti-14192	25	33	error	error	NOUN
aiti-14192	25	34	(	(	PUNCT
aiti-14192	25	35	mmse	mmse	ADJ
aiti-14192	25	36	)	)	PUNCT
aiti-14192	25	37	between	between	ADP
aiti-14192	25	38	the	the	DET
aiti-14192	25	39	models	model	NOUN
aiti-14192	25	40	.	.	PUNCT
aiti-14192	26	1	this	this	DET
aiti-14192	26	2	paper	paper	NOUN
aiti-14192	26	3	is	be	AUX
aiti-14192	26	4	organized	organize	VERB
aiti-14192	26	5	into	into	ADP
aiti-14192	26	6	five	five	NUM
aiti-14192	26	7	main	main	ADJ
aiti-14192	26	8	sections	section	NOUN
aiti-14192	26	9	.	.	PUNCT
aiti-14192	27	1	section	section	NOUN
aiti-14192	27	2	2	2	NUM
aiti-14192	27	3	is	be	AUX
aiti-14192	27	4	a	a	DET
aiti-14192	27	5	literature	literature	NOUN
aiti-14192	27	6	review	review	NOUN
aiti-14192	27	7	.	.	PUNCT
aiti-14192	28	1	section	section	NOUN
aiti-14192	28	2	3	3	NUM
aiti-14192	28	3	details	detail	NOUN
aiti-14192	28	4	the	the	DET
aiti-14192	28	5	methodology	methodology	NOUN
aiti-14192	28	6	,	,	PUNCT
aiti-14192	28	7	including	include	VERB
aiti-14192	28	8	descriptions	description	NOUN
aiti-14192	28	9	of	of	ADP
aiti-14192	28	10	the	the	DET
aiti-14192	28	11	data	datum	NOUN
aiti-14192	28	12	,	,	PUNCT
aiti-14192	28	13	the	the	DET
aiti-14192	28	14	experimental	experimental	ADJ
aiti-14192	28	15	environment	environment	NOUN
aiti-14192	28	16	,	,	PUNCT
aiti-14192	28	17	and	and	CCONJ
aiti-14192	28	18	statistical	statistical	ADJ
aiti-14192	28	19	methods	method	NOUN
aiti-14192	28	20	.	.	PUNCT
aiti-14192	29	1	section	section	NOUN
aiti-14192	29	2	4	4	NUM
aiti-14192	29	3	reveals	reveal	VERB
aiti-14192	29	4	the	the	DET
aiti-14192	29	5	empirical	empirical	ADJ
aiti-14192	29	6	results	result	NOUN
aiti-14192	29	7	of	of	ADP
aiti-14192	29	8	each	each	DET
aiti-14192	29	9	model	model	NOUN
aiti-14192	29	10	.	.	PUNCT
aiti-14192	30	1	the	the	DET
aiti-14192	30	2	last	last	ADJ
aiti-14192	30	3	section	section	NOUN
aiti-14192	30	4	,	,	PUNCT
aiti-14192	30	5	section	section	NOUN
aiti-14192	30	6	5	5	NUM
aiti-14192	30	7	,	,	PUNCT
aiti-14192	30	8	concludes	conclude	VERB
aiti-14192	30	9	with	with	ADP
aiti-14192	30	10	remarks	remark	NOUN
aiti-14192	30	11	that	that	PRON
aiti-14192	30	12	reflect	reflect	VERB
aiti-14192	30	13	on	on	ADP
aiti-14192	30	14	the	the	DET
aiti-14192	30	15	findings	finding	NOUN
aiti-14192	30	16	and	and	CCONJ
aiti-14192	30	17	highlight	highlight	VERB
aiti-14192	30	18	the	the	DET
aiti-14192	30	19	contributions	contribution	NOUN
aiti-14192	30	20	of	of	ADP
aiti-14192	30	21	the	the	DET
aiti-14192	30	22	study	study	NOUN
aiti-14192	30	23	.	.	PUNCT
aiti-14192	31	1	2	2	X
aiti-14192	31	2	.	.	X
aiti-14192	31	3	literature	literature	NOUN
aiti-14192	31	4	reviews	review	VERB
aiti-14192	31	5	the	the	DET
aiti-14192	31	6	application	application	NOUN
aiti-14192	31	7	of	of	ADP
aiti-14192	31	8	forecasting	forecasting	NOUN
aiti-14192	31	9	models	model	NOUN
aiti-14192	31	10	is	be	AUX
aiti-14192	31	11	a	a	DET
aiti-14192	31	12	crucial	crucial	ADJ
aiti-14192	31	13	aspect	aspect	NOUN
aiti-14192	31	14	of	of	ADP
aiti-14192	31	15	decision	decision	NOUN
aiti-14192	31	16	-	-	PUNCT
aiti-14192	31	17	making	making	NOUN
aiti-14192	31	18	in	in	ADP
aiti-14192	31	19	diverse	diverse	ADJ
aiti-14192	31	20	fields	field	NOUN
aiti-14192	31	21	such	such	ADJ
aiti-14192	31	22	as	as	ADP
aiti-14192	31	23	public	public	ADJ
aiti-14192	31	24	health	health	NOUN
aiti-14192	31	25	,	,	PUNCT
aiti-14192	31	26	finance	finance	NOUN
aiti-14192	31	27	,	,	PUNCT
aiti-14192	31	28	energy	energy	NOUN
aiti-14192	31	29	,	,	PUNCT
aiti-14192	31	30	agriculture	agriculture	NOUN
aiti-14192	31	31	,	,	PUNCT
aiti-14192	31	32	and	and	CCONJ
aiti-14192	31	33	electricity	electricity	NOUN
aiti-14192	31	34	.	.	PUNCT
aiti-14192	32	1	this	this	DET
aiti-14192	32	2	section	section	NOUN
aiti-14192	32	3	discusses	discuss	VERB
aiti-14192	32	4	several	several	ADJ
aiti-14192	32	5	studies	study	NOUN
aiti-14192	32	6	that	that	PRON
aiti-14192	32	7	have	have	AUX
aiti-14192	32	8	employed	employ	VERB
aiti-14192	32	9	different	different	ADJ
aiti-14192	32	10	forecasting	forecasting	NOUN
aiti-14192	32	11	methods	method	NOUN
aiti-14192	32	12	to	to	PART
aiti-14192	32	13	address	address	VERB
aiti-14192	32	14	specific	specific	ADJ
aiti-14192	32	15	challenges	challenge	NOUN
aiti-14192	32	16	in	in	ADP
aiti-14192	32	17	these	these	DET
aiti-14192	32	18	areas	area	NOUN
aiti-14192	32	19	.	.	PUNCT
aiti-14192	33	1	the	the	DET
aiti-14192	33	2	review	review	NOUN
aiti-14192	33	3	provides	provide	VERB
aiti-14192	33	4	insights	insight	NOUN
aiti-14192	33	5	into	into	ADP
aiti-14192	33	6	the	the	DET
aiti-14192	33	7	performance	performance	NOUN
aiti-14192	33	8	and	and	CCONJ
aiti-14192	33	9	applicability	applicability	NOUN
aiti-14192	33	10	of	of	ADP
aiti-14192	33	11	various	various	ADJ
aiti-14192	33	12	forecasting	forecasting	NOUN
aiti-14192	33	13	models	model	NOUN
aiti-14192	33	14	including	include	VERB
aiti-14192	33	15	a	a	DET
aiti-14192	33	16	hybrid	hybrid	ADJ
aiti-14192	33	17	arima	arima	NOUN
aiti-14192	33	18	model	model	NOUN
aiti-14192	33	19	and	and	CCONJ
aiti-14192	33	20	neural	neural	ADJ
aiti-14192	33	21	network	network	NOUN
aiti-14192	33	22	model	model	NOUN
aiti-14192	33	23	,	,	PUNCT
aiti-14192	33	24	in	in	ADP
aiti-14192	33	25	different	different	ADJ
aiti-14192	33	26	contexts	contexts	NOUN
aiti-14192	33	27	.	.	PUNCT
aiti-14192	34	1	studies	study	NOUN
aiti-14192	34	2	on	on	ADP
aiti-14192	34	3	electrical	electrical	ADJ
aiti-14192	34	4	consumption	consumption	NOUN
aiti-14192	34	5	forecasting	forecasting	NOUN
aiti-14192	34	6	have	have	AUX
aiti-14192	34	7	highlighted	highlight	VERB
aiti-14192	34	8	the	the	DET
aiti-14192	34	9	effectiveness	effectiveness	NOUN
aiti-14192	34	10	of	of	ADP
aiti-14192	34	11	hybrid	hybrid	ADJ
aiti-14192	34	12	approaches	approach	NOUN
aiti-14192	34	13	combining	combine	VERB
aiti-14192	34	14	traditional	traditional	ADJ
aiti-14192	34	15	time	time	NOUN
aiti-14192	34	16	series	series	NOUN
aiti-14192	34	17	models	model	NOUN
aiti-14192	34	18	with	with	ADP
aiti-14192	34	19	advanced	advanced	ADJ
aiti-14192	34	20	machine	machine	NOUN
aiti-14192	34	21	learning	learn	VERB
aiti-14192	34	22	techniques	technique	NOUN
aiti-14192	34	23	.	.	PUNCT
aiti-14192	35	1	almaleck	almaleck	ADP
aiti-14192	35	2	et	et	PROPN
aiti-14192	35	3	al	al	PROPN
aiti-14192	35	4	.	.	PUNCT
aiti-14192	36	1	[	[	X
aiti-14192	36	2	3	3	X
aiti-14192	36	3	]	]	PUNCT
aiti-14192	36	4	using	use	VERB
aiti-14192	36	5	a	a	DET
aiti-14192	36	6	hybrid	hybrid	ADJ
aiti-14192	36	7	method	method	NOUN
aiti-14192	36	8	combining	combine	VERB
aiti-14192	36	9	ann	ann	PROPN
aiti-14192	36	10	and	and	CCONJ
aiti-14192	36	11	arimax	arimax	PROPN
aiti-14192	36	12	models	model	NOUN
aiti-14192	36	13	,	,	PUNCT
aiti-14192	36	14	achieved	achieve	VERB
aiti-14192	36	15	superior	superior	ADJ
aiti-14192	36	16	performance	performance	NOUN
aiti-14192	36	17	in	in	ADP
aiti-14192	36	18	24	24	NUM
aiti-14192	36	19	-	-	PUNCT
aiti-14192	36	20	hour	hour	NOUN
aiti-14192	36	21	-	-	PUNCT
aiti-14192	36	22	ahead	ahead	NOUN
aiti-14192	36	23	forecasting	forecasting	NOUN
aiti-14192	36	24	for	for	ADP
aiti-14192	36	25	sports	sport	NOUN
aiti-14192	36	26	venues	venue	NOUN
aiti-14192	36	27	with	with	ADP
aiti-14192	36	28	a	a	DET
aiti-14192	36	29	mean	mean	ADJ
aiti-14192	36	30	absolute	absolute	ADJ
aiti-14192	36	31	percentage	percentage	NOUN
aiti-14192	36	32	error	error	NOUN
aiti-14192	36	33	(	(	PUNCT
aiti-14192	36	34	mape	mape	NOUN
aiti-14192	36	35	)	)	PUNCT
aiti-14192	36	36	of	of	ADP
aiti-14192	36	37	around	around	ADV
aiti-14192	36	38	9	9	NUM
aiti-14192	36	39	%	%	NOUN
aiti-14192	36	40	,	,	PUNCT
aiti-14192	36	41	outperforming	outperform	VERB
aiti-14192	36	42	standard	standard	ADJ
aiti-14192	36	43	machine	machine	NOUN
aiti-14192	36	44	learning	learn	VERB
aiti-14192	36	45	techniques	technique	NOUN
aiti-14192	36	46	.	.	PUNCT
aiti-14192	37	1	pierre	pierre	PROPN
aiti-14192	37	2	et	et	PROPN
aiti-14192	37	3	al	al	PROPN
aiti-14192	37	4	.	.	PUNCT
aiti-14192	38	1	[	[	X
aiti-14192	38	2	4	4	X
aiti-14192	38	3	]	]	PUNCT
aiti-14192	38	4	employed	employ	VERB
aiti-14192	38	5	a	a	DET
aiti-14192	38	6	combination	combination	NOUN
aiti-14192	38	7	of	of	ADP
aiti-14192	38	8	arima	arima	NOUN
aiti-14192	38	9	for	for	ADP
aiti-14192	38	10	trend	trend	NOUN
aiti-14192	38	11	modeling	modeling	NOUN
aiti-14192	38	12	and	and	CCONJ
aiti-14192	38	13	deep	deep	ADJ
aiti-14192	38	14	learning	learning	NOUN
aiti-14192	38	15	methods	method	NOUN
aiti-14192	38	16	(	(	PUNCT
aiti-14192	38	17	long	long	ADJ
aiti-14192	38	18	short	short	ADJ
aiti-14192	38	19	-	-	PUNCT
aiti-14192	38	20	term	term	NOUN
aiti-14192	38	21	memory	memory	NOUN
aiti-14192	38	22	(	(	PUNCT
aiti-14192	38	23	lstm	lstm	NOUN
aiti-14192	38	24	)	)	PUNCT
aiti-14192	38	25	and	and	CCONJ
aiti-14192	38	26	gated	gate	VERB
aiti-14192	38	27	recurrent	recurrent	ADJ
aiti-14192	38	28	unit	unit	NOUN
aiti-14192	38	29	(	(	PUNCT
aiti-14192	38	30	gru	gru	PROPN
aiti-14192	38	31	)	)	PUNCT
aiti-14192	38	32	)	)	PUNCT
aiti-14192	38	33	for	for	ADP
aiti-14192	38	34	capturing	capture	VERB
aiti-14192	38	35	fluctuations	fluctuation	NOUN
aiti-14192	38	36	.	.	PUNCT
aiti-14192	39	1	their	their	PRON
aiti-14192	39	2	arima	arima	NOUN
aiti-14192	39	3	-	-	PUNCT
aiti-14192	39	4	lstm	lstm	NOUN
aiti-14192	39	5	hybrid	hybrid	NOUN
aiti-14192	39	6	approach	approach	NOUN
aiti-14192	39	7	outperformed	outperform	VERB
aiti-14192	39	8	standalone	standalone	NOUN
aiti-14192	39	9	models	model	NOUN
aiti-14192	39	10	in	in	ADP
aiti-14192	39	11	predicting	predict	VERB
aiti-14192	39	12	peak	peak	NOUN
aiti-14192	39	13	energy	energy	NOUN
aiti-14192	39	14	consumption	consumption	NOUN
aiti-14192	39	15	,	,	PUNCT
aiti-14192	39	16	reaching	reach	VERB
aiti-14192	39	17	the	the	DET
aiti-14192	39	18	root	root	NOUN
aiti-14192	39	19	mean	mean	ADJ
aiti-14192	39	20	square	square	ADJ
aiti-14192	39	21	error	error	NOUN
aiti-14192	39	22	(	(	PUNCT
aiti-14192	39	23	rmse	rmse	NOUN
aiti-14192	39	24	)	)	PUNCT
aiti-14192	39	25	of	of	ADP
aiti-14192	39	26	7.35	7.35	NUM
aiti-14192	39	27	.	.	PUNCT
aiti-14192	40	1	management	management	NOUN
aiti-14192	40	2	of	of	ADP
aiti-14192	40	3	natural	natural	ADJ
aiti-14192	40	4	resources	resource	NOUN
aiti-14192	40	5	has	have	AUX
aiti-14192	40	6	made	make	VERB
aiti-14192	40	7	significant	significant	ADJ
aiti-14192	40	8	strides	stride	NOUN
aiti-14192	40	9	in	in	ADP
aiti-14192	40	10	the	the	DET
aiti-14192	40	11	use	use	NOUN
aiti-14192	40	12	of	of	ADP
aiti-14192	40	13	hybrid	hybrid	ADJ
aiti-14192	40	14	forecasting	forecasting	NOUN
aiti-14192	40	15	models	model	NOUN
aiti-14192	40	16	in	in	ADP
aiti-14192	40	17	recent	recent	ADJ
aiti-14192	40	18	years	year	NOUN
aiti-14192	40	19	.	.	PUNCT
aiti-14192	41	1	xu	xu	PROPN
aiti-14192	41	2	et	et	PROPN
aiti-14192	42	1	al	al	PROPN
aiti-14192	42	2	.	.	PUNCT
aiti-14192	43	1	[	[	X
aiti-14192	43	2	5	5	NUM
aiti-14192	43	3	]	]	PUNCT
aiti-14192	43	4	demonstrated	demonstrate	VERB
aiti-14192	43	5	that	that	SCONJ
aiti-14192	43	6	a	a	DET
aiti-14192	43	7	hybrid	hybrid	ADJ
aiti-14192	43	8	arima	arima	NOUN
aiti-14192	43	9	-	-	PUNCT
aiti-14192	43	10	lstm	lstm	PROPN
aiti-14192	43	11	model	model	NOUN
aiti-14192	43	12	,	,	PUNCT
aiti-14192	43	13	based	base	VERB
aiti-14192	43	14	on	on	ADP
aiti-14192	43	15	the	the	DET
aiti-14192	43	16	standardized	standardized	ADJ
aiti-14192	43	17	precipitation	precipitation	NOUN
aiti-14192	43	18	evapotranspiration	evapotranspiration	NOUN
aiti-14192	43	19	index	index	NOUN
aiti-14192	43	20	,	,	PUNCT
aiti-14192	43	21	outperforms	outperform	VERB
aiti-14192	43	22	the	the	DET
aiti-14192	43	23	conventional	conventional	ADJ
aiti-14192	43	24	arima	arima	NOUN
aiti-14192	43	25	model	model	NOUN
aiti-14192	43	26	,	,	PUNCT
aiti-14192	43	27	attaining	attain	VERB
aiti-14192	43	28	the	the	DET
aiti-14192	43	29	highest	high	ADJ
aiti-14192	43	30	prediction	prediction	NOUN
aiti-14192	43	31	accuracy	accuracy	NOUN
aiti-14192	43	32	at	at	ADP
aiti-14192	43	33	6	6	NUM
aiti-14192	43	34	-	-	PUNCT
aiti-14192	43	35	month	month	NOUN
aiti-14192	43	36	,	,	PUNCT
aiti-14192	43	37	12	12	NUM
aiti-14192	43	38	-	-	PUNCT
aiti-14192	43	39	month	month	NOUN
aiti-14192	43	40	,	,	PUNCT
aiti-14192	43	41	and	and	CCONJ
aiti-14192	43	42	24	24	NUM
aiti-14192	43	43	-	-	PUNCT
aiti-14192	43	44	month	month	NOUN
aiti-14192	43	45	scales	scale	NOUN
aiti-14192	43	46	,	,	PUNCT
aiti-14192	43	47	indicating	indicate	VERB
aiti-14192	43	48	the	the	DET
aiti-14192	43	49	suitability	suitability	NOUN
aiti-14192	43	50	for	for	ADP
aiti-14192	43	51	the	the	DET
aiti-14192	43	52	forecasting	forecasting	NOUN
aiti-14192	43	53	of	of	ADP
aiti-14192	43	54	long	long	ADJ
aiti-14192	43	55	-	-	PUNCT
aiti-14192	43	56	term	term	NOUN
aiti-14192	43	57	drought	drought	NOUN
aiti-14192	43	58	in	in	ADP
aiti-14192	43	59	china	china	PROPN
aiti-14192	43	60	.	.	PUNCT
aiti-14192	44	1	azad	azad	PROPN
aiti-14192	44	2	et	et	PROPN
aiti-14192	44	3	al	al	PROPN
aiti-14192	44	4	.	.	PUNCT
aiti-14192	45	1	[	[	X
aiti-14192	45	2	6	6	NUM
aiti-14192	45	3	]	]	PUNCT
aiti-14192	45	4	a	a	DET
aiti-14192	45	5	seasonal	seasonal	ADJ
aiti-14192	45	6	autoregressive	autoregressive	ADJ
aiti-14192	45	7	integrated	integrated	ADJ
aiti-14192	45	8	moving	move	VERB
aiti-14192	45	9	average	average	NOUN
aiti-14192	45	10	(	(	PUNCT
aiti-14192	45	11	sarima)-ann	sarima)-ann	PROPN
aiti-14192	45	12	model	model	NOUN
aiti-14192	45	13	was	be	AUX
aiti-14192	45	14	applied	apply	VERB
aiti-14192	45	15	to	to	PART
aiti-14192	45	16	predict	predict	VERB
aiti-14192	45	17	water	water	NOUN
aiti-14192	45	18	levels	level	NOUN
aiti-14192	45	19	in	in	ADP
aiti-14192	45	20	india	india	PROPN
aiti-14192	45	21	’s	’s	PART
aiti-14192	45	22	red	red	PROPN
aiti-14192	45	23	hills	hills	PROPN
aiti-14192	45	24	reservoir	reservoir	NOUN
aiti-14192	45	25	,	,	PUNCT
aiti-14192	45	26	and	and	CCONJ
aiti-14192	45	27	it	it	PRON
aiti-14192	45	28	was	be	AUX
aiti-14192	45	29	confirmed	confirm	VERB
aiti-14192	45	30	that	that	SCONJ
aiti-14192	45	31	the	the	DET
aiti-14192	45	32	hybrid	hybrid	NOUN
aiti-14192	45	33	model	model	NOUN
aiti-14192	45	34	outperformed	outperform	VERB
aiti-14192	45	35	the	the	DET
aiti-14192	45	36	sarima	sarima	NOUN
aiti-14192	45	37	model	model	NOUN
aiti-14192	45	38	.	.	PUNCT
aiti-14192	46	1	in	in	ADP
aiti-14192	46	2	thailand	thailand	PROPN
aiti-14192	46	3	,	,	PUNCT
aiti-14192	46	4	nualtong	nualtong	PROPN
aiti-14192	46	5	et	et	PROPN
aiti-14192	46	6	al	al	PROPN
aiti-14192	46	7	.	.	PUNCT
aiti-14192	47	1	[	[	X
aiti-14192	47	2	7	7	X
aiti-14192	47	3	]	]	PUNCT
aiti-14192	47	4	demonstrated	demonstrate	VERB
aiti-14192	47	5	that	that	SCONJ
aiti-14192	47	6	a	a	DET
aiti-14192	47	7	sarima	sarima	NOUN
aiti-14192	47	8	-	-	PUNCT
aiti-14192	47	9	ann	ann	PROPN
aiti-14192	47	10	model	model	NOUN
aiti-14192	47	11	yielded	yield	VERB
aiti-14192	47	12	better	well	ADJ
aiti-14192	47	13	results	result	NOUN
aiti-14192	47	14	than	than	ADP
aiti-14192	47	15	either	either	CCONJ
aiti-14192	47	16	the	the	DET
aiti-14192	47	17	sarima	sarima	NOUN
aiti-14192	47	18	or	or	CCONJ
aiti-14192	47	19	standalone	standalone	ADJ
aiti-14192	47	20	ann	ann	PROPN
aiti-14192	47	21	model	model	NOUN
aiti-14192	47	22	,	,	PUNCT
aiti-14192	47	23	especially	especially	ADV
aiti-14192	47	24	during	during	ADP
aiti-14192	47	25	the	the	DET
aiti-14192	47	26	wet	wet	ADJ
aiti-14192	47	27	season	season	NOUN
aiti-14192	47	28	.	.	PUNCT
aiti-14192	48	1	furthermore	furthermore	ADV
aiti-14192	48	2	,	,	PUNCT
aiti-14192	48	3	a	a	DET
aiti-14192	48	4	study	study	NOUN
aiti-14192	48	5	by	by	ADP
aiti-14192	48	6	shahriar	shahriar	PROPN
aiti-14192	48	7	et	et	PROPN
aiti-14192	48	8	al	al	PROPN
aiti-14192	48	9	.	.	PUNCT
aiti-14192	49	1	[	[	X
aiti-14192	49	2	8	8	NUM
aiti-14192	49	3	]	]	PUNCT
aiti-14192	49	4	on	on	ADP
aiti-14192	49	5	pm2.5	pm2.5	PROPN
aiti-14192	49	6	forecasting	forecasting	NOUN
aiti-14192	49	7	in	in	ADP
aiti-14192	49	8	bangladesh	bangladesh	NOUN
aiti-14192	49	9	demonstrated	demonstrate	VERB
aiti-14192	49	10	that	that	SCONJ
aiti-14192	49	11	hybrid	hybrid	NOUN
aiti-14192	49	12	models	model	NOUN
aiti-14192	49	13	such	such	ADJ
aiti-14192	49	14	as	as	ADP
aiti-14192	49	15	arima	arima	PROPN
aiti-14192	49	16	-	-	PUNCT
aiti-14192	49	17	ann	ann	PROPN
aiti-14192	49	18	significantly	significantly	ADV
aiti-14192	49	19	outperform	outperform	VERB
aiti-14192	49	20	arima	arima	NOUN
aiti-14192	49	21	by	by	ADP
aiti-14192	49	22	offering	offer	VERB
aiti-14192	49	23	substantial	substantial	ADJ
aiti-14192	49	24	improvements	improvement	NOUN
aiti-14192	49	25	in	in	ADP
aiti-14192	49	26	prediction	prediction	NOUN
aiti-14192	49	27	accuracy	accuracy	NOUN
aiti-14192	49	28	.	.	PUNCT
aiti-14192	50	1	these	these	DET
aiti-14192	50	2	cases	case	NOUN
aiti-14192	50	3	collectively	collectively	ADV
aiti-14192	50	4	highlight	highlight	VERB
aiti-14192	50	5	the	the	DET
aiti-14192	50	6	robust	robust	ADJ
aiti-14192	50	7	capability	capability	NOUN
aiti-14192	50	8	of	of	ADP
aiti-14192	50	9	hybrid	hybrid	ADJ
aiti-14192	50	10	models	model	NOUN
aiti-14192	50	11	to	to	PART
aiti-14192	50	12	significantly	significantly	ADV
aiti-14192	50	13	enhance	enhance	VERB
aiti-14192	50	14	predictive	predictive	ADJ
aiti-14192	50	15	outcomes	outcome	NOUN
aiti-14192	50	16	in	in	ADP
aiti-14192	50	17	managing	manage	VERB
aiti-14192	50	18	natural	natural	ADJ
aiti-14192	50	19	resources	resource	NOUN
aiti-14192	50	20	,	,	PUNCT
aiti-14192	50	21	surpassing	surpass	VERB
aiti-14192	50	22	traditional	traditional	ADJ
aiti-14192	50	23	forecasting	forecasting	NOUN
aiti-14192	50	24	approaches	approach	NOUN
aiti-14192	50	25	.	.	PUNCT
aiti-14192	51	1	recent	recent	ADJ
aiti-14192	51	2	studies	study	NOUN
aiti-14192	51	3	highlight	highlight	VERB
aiti-14192	51	4	the	the	DET
aiti-14192	51	5	superiority	superiority	NOUN
aiti-14192	51	6	of	of	ADP
aiti-14192	51	7	hybrid	hybrid	NOUN
aiti-14192	51	8	forecasting	forecasting	NOUN
aiti-14192	51	9	models	model	NOUN
aiti-14192	51	10	over	over	ADP
aiti-14192	51	11	conventional	conventional	ADJ
aiti-14192	51	12	methods	method	NOUN
aiti-14192	51	13	in	in	ADP
aiti-14192	51	14	various	various	ADJ
aiti-14192	51	15	sectors	sector	NOUN
aiti-14192	51	16	.	.	PUNCT
aiti-14192	52	1	fan	fan	PROPN
aiti-14192	52	2	et	et	PROPN
aiti-14192	52	3	al	al	PROPN
aiti-14192	52	4	.	.	PUNCT
aiti-14192	53	1	[	[	X
aiti-14192	53	2	9	9	NUM
aiti-14192	53	3	]	]	PUNCT
aiti-14192	53	4	demonstrated	demonstrate	VERB
aiti-14192	53	5	that	that	SCONJ
aiti-14192	53	6	a	a	DET
aiti-14192	53	7	hybrid	hybrid	ADJ
aiti-14192	53	8	arima	arima	NOUN
aiti-14192	53	9	-	-	PUNCT
aiti-14192	53	10	lstm	lstm	PROPN
aiti-14192	53	11	model	model	NOUN
aiti-14192	53	12	significantly	significantly	ADV
aiti-14192	53	13	improved	improve	VERB
aiti-14192	53	14	production	production	NOUN
aiti-14192	53	15	forecasting	forecasting	NOUN
aiti-14192	53	16	by	by	ADP
aiti-14192	53	17	incorporating	incorporate	VERB
aiti-14192	53	18	the	the	DET
aiti-14192	53	19	effects	effect	NOUN
aiti-14192	53	20	of	of	ADP
aiti-14192	53	21	manual	manual	ADJ
aiti-14192	53	22	operations	operation	NOUN
aiti-14192	53	23	outperforming	outperform	VERB
aiti-14192	53	24	the	the	DET
aiti-14192	53	25	traditional	traditional	ADJ
aiti-14192	53	26	arima	arima	NOUN
aiti-14192	53	27	model	model	NOUN
aiti-14192	53	28	.	.	PUNCT
aiti-14192	54	1	similarly	similarly	ADV
aiti-14192	54	2	,	,	PUNCT
aiti-14192	54	3	wang	wang	PROPN
aiti-14192	54	4	et	et	PROPN
aiti-14192	54	5	al	al	PROPN
aiti-14192	54	6	.	.	PUNCT
aiti-14192	55	1	[	[	X
aiti-14192	55	2	10	10	NUM
aiti-14192	55	3	]	]	PUNCT
aiti-14192	55	4	showed	show	VERB
aiti-14192	55	5	that	that	SCONJ
aiti-14192	55	6	an	an	DET
aiti-14192	55	7	arima	arima	NOUN
aiti-14192	55	8	-	-	PUNCT
aiti-14192	55	9	ernn	ernn	PROPN
aiti-14192	55	10	model	model	NOUN
aiti-14192	55	11	for	for	ADP
aiti-14192	55	12	predicting	predict	VERB
aiti-14192	55	13	pertussis	pertussis	NOUN
aiti-14192	55	14	in	in	ADP
aiti-14192	55	15	china	china	PROPN
aiti-14192	55	16	provided	provide	VERB
aiti-14192	55	17	lower	low	ADJ
aiti-14192	55	18	error	error	NOUN
aiti-14192	55	19	rates	rate	NOUN
aiti-14192	55	20	than	than	ADP
aiti-14192	55	21	its	its	PRON
aiti-14192	55	22	arima	arima	PROPN
aiti-14192	55	23	model	model	NOUN
aiti-14192	55	24	.	.	PUNCT
aiti-14192	56	1	in	in	ADP
aiti-14192	56	2	the	the	DET
aiti-14192	56	3	financial	financial	ADJ
aiti-14192	56	4	sector	sector	NOUN
aiti-14192	56	5	,	,	PUNCT
aiti-14192	56	6	hybrid	hybrid	ADJ
aiti-14192	56	7	forecasting	forecasting	NOUN
aiti-14192	56	8	models	model	NOUN
aiti-14192	56	9	have	have	AUX
aiti-14192	56	10	demonstrated	demonstrate	VERB
aiti-14192	56	11	marked	mark	VERB
aiti-14192	56	12	superiority	superiority	NOUN
aiti-14192	56	13	over	over	ADP
aiti-14192	56	14	traditional	traditional	ADJ
aiti-14192	56	15	models	model	NOUN
aiti-14192	56	16	in	in	ADP
aiti-14192	56	17	predicting	predict	VERB
aiti-14192	56	18	stock	stock	NOUN
aiti-14192	56	19	market	market	NOUN
aiti-14192	56	20	trends	trend	NOUN
aiti-14192	56	21	.	.	PUNCT
aiti-14192	57	1	for	for	ADP
aiti-14192	57	2	instance	instance	NOUN
aiti-14192	57	3	,	,	PUNCT
aiti-14192	57	4	shetty	shetty	PROPN
aiti-14192	57	5	and	and	CCONJ
aiti-14192	57	6	ismail	ismail	NOUN
aiti-14192	57	7	[	[	X
aiti-14192	57	8	2	2	X
aiti-14192	57	9	]	]	X
aiti-14192	57	10	propose	propose	VERB
aiti-14192	57	11	a	a	DET
aiti-14192	57	12	hybrid	hybrid	ADJ
aiti-14192	57	13	non	non	ADJ
aiti-14192	57	14	-	-	ADJ
aiti-14192	57	15	stationary	stationary	ADJ
aiti-14192	57	16	model	model	NOUN
aiti-14192	57	17	using	use	VERB
aiti-14192	57	18	ernn	ernn	NOUN
aiti-14192	57	19	to	to	PART
aiti-14192	57	20	predict	predict	VERB
aiti-14192	57	21	stock	stock	NOUN
aiti-14192	57	22	market	market	NOUN
aiti-14192	57	23	price	price	NOUN
aiti-14192	57	24	indices	index	NOUN
aiti-14192	57	25	.	.	PUNCT
aiti-14192	58	1	this	this	DET
aiti-14192	58	2	model	model	NOUN
aiti-14192	58	3	combines	combine	VERB
aiti-14192	58	4	linear	linear	ADJ
aiti-14192	58	5	and	and	CCONJ
aiti-14192	58	6	non	non	ADJ
aiti-14192	58	7	-	-	ADJ
aiti-14192	58	8	linear	linear	ADJ
aiti-14192	58	9	structures	structure	NOUN
aiti-14192	58	10	to	to	PART
aiti-14192	58	11	capture	capture	VERB
aiti-14192	58	12	market	market	NOUN
aiti-14192	58	13	dynamics	dynamic	NOUN
aiti-14192	58	14	advances	advance	NOUN
aiti-14192	58	15	in	in	ADP
aiti-14192	58	16	technology	technology	NOUN
aiti-14192	58	17	innovation	innovation	NOUN
aiti-14192	58	18	,	,	PUNCT
aiti-14192	58	19	vol	vol	NOUN
aiti-14192	58	20	.	.	PROPN
aiti-14192	59	1	10	10	NUM
aiti-14192	59	2	,	,	PUNCT
aiti-14192	59	3	no	no	INTJ
aiti-14192	59	4	.	.	NOUN
aiti-14192	59	5	2	2	NUM
aiti-14192	59	6	,	,	PUNCT
aiti-14192	59	7	2025	2025	NUM
aiti-14192	59	8	,	,	PUNCT
aiti-14192	59	9	pp	pp	ADJ
aiti-14192	59	10	.	.	PUNCT
aiti-14192	60	1	85	85	NUM
aiti-14192	60	2	-	-	SYM
aiti-14192	60	3	101	101	NUM
aiti-14192	60	4	87	87	NUM
aiti-14192	60	5	effectively	effectively	ADV
aiti-14192	60	6	.	.	PUNCT
aiti-14192	61	1	besides	besides	SCONJ
aiti-14192	61	2	,	,	PUNCT
aiti-14192	61	3	this	this	DET
aiti-14192	61	4	study	study	NOUN
aiti-14192	61	5	demonstrates	demonstrate	VERB
aiti-14192	61	6	superior	superior	ADJ
aiti-14192	61	7	forecasting	forecasting	NOUN
aiti-14192	61	8	accuracy	accuracy	NOUN
aiti-14192	61	9	,	,	PUNCT
aiti-14192	61	10	emphasizing	emphasize	VERB
aiti-14192	61	11	the	the	DET
aiti-14192	61	12	potential	potential	NOUN
aiti-14192	61	13	of	of	ADP
aiti-14192	61	14	neural	neural	ADJ
aiti-14192	61	15	network	network	NOUN
aiti-14192	61	16	-	-	PUNCT
aiti-14192	61	17	based	base	VERB
aiti-14192	61	18	models	model	NOUN
aiti-14192	61	19	in	in	ADP
aiti-14192	61	20	enhancing	enhance	VERB
aiti-14192	61	21	financial	financial	ADJ
aiti-14192	61	22	market	market	NOUN
aiti-14192	61	23	predictions	prediction	NOUN
aiti-14192	61	24	.	.	PUNCT
aiti-14192	62	1	furthermore	furthermore	ADV
aiti-14192	62	2	,	,	PUNCT
aiti-14192	62	3	sharma	sharma	PROPN
aiti-14192	62	4	et	et	PROPN
aiti-14192	62	5	al	al	PROPN
aiti-14192	62	6	.	.	PUNCT
aiti-14192	63	1	[	[	X
aiti-14192	63	2	11	11	NUM
aiti-14192	63	3	]	]	PUNCT
aiti-14192	63	4	illustrated	illustrate	VERB
aiti-14192	63	5	that	that	SCONJ
aiti-14192	63	6	integrating	integrate	VERB
aiti-14192	63	7	lstm	lstm	NOUN
aiti-14192	63	8	and	and	CCONJ
aiti-14192	63	9	arimax	arimax	VERB
aiti-14192	63	10	into	into	ADP
aiti-14192	63	11	forecasting	forecasting	NOUN
aiti-14192	63	12	improves	improve	VERB
aiti-14192	63	13	accuracy	accuracy	NOUN
aiti-14192	63	14	beyond	beyond	ADP
aiti-14192	63	15	the	the	DET
aiti-14192	63	16	conventional	conventional	ADJ
aiti-14192	63	17	arima	arima	PROPN
aiti-14192	63	18	model	model	NOUN
aiti-14192	63	19	,	,	PUNCT
aiti-14192	63	20	which	which	PRON
aiti-14192	63	21	adeptly	adeptly	ADV
aiti-14192	63	22	accommodates	accommodate	VERB
aiti-14192	63	23	external	external	ADJ
aiti-14192	63	24	market	market	NOUN
aiti-14192	63	25	influences	influence	NOUN
aiti-14192	63	26	.	.	PUNCT
aiti-14192	64	1	lv	lv	INTJ
aiti-14192	64	2	et	et	PROPN
aiti-14192	64	3	al	al	PROPN
aiti-14192	64	4	.	.	PUNCT
aiti-14192	65	1	[	[	X
aiti-14192	65	2	12	12	NUM
aiti-14192	65	3	]	]	PUNCT
aiti-14192	65	4	advanced	advance	VERB
aiti-14192	65	5	this	this	DET
aiti-14192	65	6	research	research	NOUN
aiti-14192	65	7	by	by	ADP
aiti-14192	65	8	integrating	integrate	VERB
aiti-14192	65	9	complete	complete	ADJ
aiti-14192	65	10	ensemble	ensemble	ADJ
aiti-14192	65	11	empirical	empirical	ADJ
aiti-14192	65	12	mode	mode	NOUN
aiti-14192	65	13	decomposition	decomposition	NOUN
aiti-14192	65	14	with	with	ADP
aiti-14192	65	15	adaptive	adaptive	ADJ
aiti-14192	65	16	noise	noise	NOUN
aiti-14192	65	17	and	and	CCONJ
aiti-14192	65	18	a	a	DET
aiti-14192	65	19	hybrid	hybrid	ADJ
aiti-14192	65	20	model	model	NOUN
aiti-14192	65	21	combining	combine	VERB
aiti-14192	65	22	the	the	DET
aiti-14192	65	23	autoregressive	autoregressive	ADJ
aiti-14192	65	24	moving	move	VERB
aiti-14192	65	25	average	average	ADJ
aiti-14192	65	26	(	(	PUNCT
aiti-14192	65	27	arma	arma	PROPN
aiti-14192	65	28	)	)	PUNCT
aiti-14192	65	29	and	and	CCONJ
aiti-14192	65	30	lstm	lstm	NOUN
aiti-14192	65	31	models	model	NOUN
aiti-14192	65	32	.	.	PUNCT
aiti-14192	66	1	this	this	DET
aiti-14192	66	2	approach	approach	NOUN
aiti-14192	66	3	effectively	effectively	ADV
aiti-14192	66	4	decomposes	decompose	VERB
aiti-14192	66	5	the	the	DET
aiti-14192	66	6	stock	stock	NOUN
aiti-14192	66	7	index	index	NOUN
aiti-14192	66	8	into	into	ADP
aiti-14192	66	9	intrinsic	intrinsic	ADJ
aiti-14192	66	10	mode	mode	NOUN
aiti-14192	66	11	functions	function	NOUN
aiti-14192	66	12	and	and	CCONJ
aiti-14192	66	13	applies	apply	VERB
aiti-14192	66	14	the	the	DET
aiti-14192	66	15	arma	arma	PROPN
aiti-14192	66	16	model	model	NOUN
aiti-14192	66	17	to	to	ADP
aiti-14192	66	18	stationary	stationary	ADJ
aiti-14192	66	19	series	series	NOUN
aiti-14192	66	20	and	and	CCONJ
aiti-14192	66	21	lstm	lstm	NOUN
aiti-14192	66	22	to	to	ADP
aiti-14192	66	23	unstable	unstable	ADJ
aiti-14192	66	24	series	series	NOUN
aiti-14192	66	25	,	,	PUNCT
aiti-14192	66	26	refining	refine	VERB
aiti-14192	66	27	the	the	DET
aiti-14192	66	28	prediction	prediction	NOUN
aiti-14192	66	29	process	process	NOUN
aiti-14192	66	30	through	through	ADP
aiti-14192	66	31	time	time	NOUN
aiti-14192	66	32	series	series	NOUN
aiti-14192	66	33	decomposition	decomposition	NOUN
aiti-14192	66	34	,	,	PUNCT
aiti-14192	66	35	and	and	CCONJ
aiti-14192	66	36	the	the	DET
aiti-14192	66	37	results	result	NOUN
aiti-14192	66	38	exhibit	exhibit	VERB
aiti-14192	66	39	that	that	SCONJ
aiti-14192	66	40	the	the	DET
aiti-14192	66	41	prediction	prediction	NOUN
aiti-14192	66	42	of	of	ADP
aiti-14192	66	43	the	the	DET
aiti-14192	66	44	proposed	propose	VERB
aiti-14192	66	45	model	model	NOUN
aiti-14192	66	46	is	be	AUX
aiti-14192	66	47	closer	close	ADJ
aiti-14192	66	48	to	to	ADP
aiti-14192	66	49	the	the	DET
aiti-14192	66	50	real	real	ADJ
aiti-14192	66	51	value	value	NOUN
aiti-14192	66	52	than	than	ADP
aiti-14192	66	53	that	that	PRON
aiti-14192	66	54	of	of	ADP
aiti-14192	66	55	a	a	DET
aiti-14192	66	56	standalone	standalone	ADJ
aiti-14192	66	57	model	model	NOUN
aiti-14192	66	58	like	like	ADP
aiti-14192	66	59	arima	arima	PROPN
aiti-14192	66	60	,	,	PUNCT
aiti-14192	66	61	lstm	lstm	PROPN
aiti-14192	66	62	,	,	PUNCT
aiti-14192	66	63	gru	gru	NOUN
aiti-14192	66	64	models	model	NOUN
aiti-14192	66	65	.	.	PUNCT
aiti-14192	67	1	alshawarbeh	alshawarbeh	PROPN
aiti-14192	67	2	et	et	PROPN
aiti-14192	67	3	al	al	PROPN
aiti-14192	67	4	.	.	PUNCT
aiti-14192	68	1	[	[	X
aiti-14192	68	2	13	13	NUM
aiti-14192	68	3	]	]	PUNCT
aiti-14192	68	4	aimed	aim	VERB
aiti-14192	68	5	to	to	PART
aiti-14192	68	6	predict	predict	VERB
aiti-14192	68	7	stock	stock	NOUN
aiti-14192	68	8	market	market	NOUN
aiti-14192	68	9	indices	index	NOUN
aiti-14192	68	10	using	use	VERB
aiti-14192	68	11	an	an	DET
aiti-14192	68	12	arima	arima	PROPN
aiti-14192	68	13	-	-	PUNCT
aiti-14192	68	14	ann	ann	PROPN
aiti-14192	68	15	hybrid	hybrid	NOUN
aiti-14192	68	16	model	model	NOUN
aiti-14192	68	17	,	,	PUNCT
aiti-14192	68	18	combining	combine	VERB
aiti-14192	68	19	arima	arima	PROPN
aiti-14192	68	20	and	and	CCONJ
aiti-14192	68	21	ann	ann	PROPN
aiti-14192	68	22	to	to	PART
aiti-14192	68	23	address	address	VERB
aiti-14192	68	24	the	the	DET
aiti-14192	68	25	volatility	volatility	NOUN
aiti-14192	68	26	and	and	CCONJ
aiti-14192	68	27	noise	noise	NOUN
aiti-14192	68	28	in	in	ADP
aiti-14192	68	29	financial	financial	ADJ
aiti-14192	68	30	data	datum	NOUN
aiti-14192	68	31	.	.	PUNCT
aiti-14192	69	1	by	by	ADP
aiti-14192	69	2	applying	apply	VERB
aiti-14192	69	3	this	this	DET
aiti-14192	69	4	approach	approach	NOUN
aiti-14192	69	5	to	to	ADP
aiti-14192	69	6	the	the	DET
aiti-14192	69	7	nasdaq	nasdaq	PROPN
aiti-14192	69	8	,	,	PUNCT
aiti-14192	69	9	nikkei	nikkei	PROPN
aiti-14192	69	10	,	,	PUNCT
aiti-14192	69	11	and	and	CCONJ
aiti-14192	69	12	cac	cac	PROPN
aiti-14192	69	13	40	40	NUM
aiti-14192	69	14	indices	index	NOUN
aiti-14192	69	15	,	,	PUNCT
aiti-14192	69	16	the	the	DET
aiti-14192	69	17	study	study	NOUN
aiti-14192	69	18	finds	find	VERB
aiti-14192	69	19	that	that	SCONJ
aiti-14192	69	20	the	the	DET
aiti-14192	69	21	arima	arima	PROPN
aiti-14192	69	22	-	-	PUNCT
aiti-14192	69	23	ann	ann	PROPN
aiti-14192	69	24	model	model	NOUN
aiti-14192	69	25	renders	render	VERB
aiti-14192	69	26	more	more	ADV
aiti-14192	69	27	accurate	accurate	ADJ
aiti-14192	69	28	forecasts	forecast	NOUN
aiti-14192	69	29	than	than	ADP
aiti-14192	69	30	traditional	traditional	ADJ
aiti-14192	69	31	arima	arima	NOUN
aiti-14192	69	32	and	and	CCONJ
aiti-14192	69	33	conventional	conventional	ADJ
aiti-14192	69	34	ann	ann	PROPN
aiti-14192	69	35	models	model	NOUN
aiti-14192	69	36	.	.	PUNCT
aiti-14192	70	1	lastly	lastly	ADV
aiti-14192	70	2	,	,	PUNCT
aiti-14192	70	3	singh	singh	PROPN
aiti-14192	70	4	et	et	PROPN
aiti-14192	70	5	al	al	PROPN
aiti-14192	70	6	.	.	PUNCT
aiti-14192	71	1	[	[	X
aiti-14192	71	2	14	14	NUM
aiti-14192	71	3	]	]	PUNCT
aiti-14192	71	4	emphasized	emphasize	VERB
aiti-14192	71	5	the	the	DET
aiti-14192	71	6	efficacy	efficacy	NOUN
aiti-14192	71	7	of	of	ADP
aiti-14192	71	8	combining	combine	VERB
aiti-14192	71	9	lstm	lstm	ADJ
aiti-14192	71	10	methods	method	NOUN
aiti-14192	71	11	with	with	ADP
aiti-14192	71	12	arima	arima	PROPN
aiti-14192	71	13	for	for	ADP
aiti-14192	71	14	forecasting	forecast	VERB
aiti-14192	71	15	stock	stock	NOUN
aiti-14192	71	16	prices	price	NOUN
aiti-14192	71	17	with	with	ADP
aiti-14192	71	18	high	high	ADJ
aiti-14192	71	19	precision	precision	NOUN
aiti-14192	71	20	,	,	PUNCT
aiti-14192	71	21	highlighting	highlight	VERB
aiti-14192	71	22	the	the	DET
aiti-14192	71	23	robustness	robustness	NOUN
aiti-14192	71	24	of	of	ADP
aiti-14192	71	25	hybrid	hybrid	ADJ
aiti-14192	71	26	models	model	NOUN
aiti-14192	71	27	in	in	ADP
aiti-14192	71	28	financial	financial	ADJ
aiti-14192	71	29	forecasting	forecasting	NOUN
aiti-14192	71	30	.	.	PUNCT
aiti-14192	72	1	the	the	DET
aiti-14192	72	2	literature	literature	PROPN
aiti-14192	72	3	review	review	NOUN
aiti-14192	72	4	highlights	highlight	VERB
aiti-14192	72	5	the	the	DET
aiti-14192	72	6	diverse	diverse	ADJ
aiti-14192	72	7	applications	application	NOUN
aiti-14192	72	8	of	of	ADP
aiti-14192	72	9	forecasting	forecasting	NOUN
aiti-14192	72	10	models	model	NOUN
aiti-14192	72	11	in	in	ADP
aiti-14192	72	12	various	various	ADJ
aiti-14192	72	13	fields	field	NOUN
aiti-14192	72	14	.	.	PUNCT
aiti-14192	73	1	these	these	DET
aiti-14192	73	2	studies	study	NOUN
aiti-14192	73	3	collectively	collectively	ADV
aiti-14192	73	4	provided	provide	VERB
aiti-14192	73	5	valuable	valuable	ADJ
aiti-14192	73	6	insights	insight	NOUN
aiti-14192	73	7	into	into	ADP
aiti-14192	73	8	the	the	DET
aiti-14192	73	9	evolving	evolve	VERB
aiti-14192	73	10	landscape	landscape	NOUN
aiti-14192	73	11	of	of	ADP
aiti-14192	73	12	forecasting	forecasting	NOUN
aiti-14192	73	13	methods	method	NOUN
aiti-14192	73	14	and	and	CCONJ
aiti-14192	73	15	their	their	PRON
aiti-14192	73	16	impact	impact	NOUN
aiti-14192	73	17	on	on	ADP
aiti-14192	73	18	decision	decision	NOUN
aiti-14192	73	19	-	-	PUNCT
aiti-14192	73	20	making	making	NOUN
aiti-14192	73	21	in	in	ADP
aiti-14192	73	22	different	different	ADJ
aiti-14192	73	23	sectors	sector	NOUN
aiti-14192	73	24	.	.	PUNCT
aiti-14192	74	1	3	3	X
aiti-14192	74	2	.	.	X
aiti-14192	74	3	methodology	methodology	NOUN
aiti-14192	74	4	the	the	DET
aiti-14192	74	5	methodology	methodology	NOUN
aiti-14192	74	6	of	of	ADP
aiti-14192	74	7	this	this	DET
aiti-14192	74	8	study	study	NOUN
aiti-14192	74	9	is	be	AUX
aiti-14192	74	10	structured	structure	VERB
aiti-14192	74	11	to	to	PART
aiti-14192	74	12	integrate	integrate	VERB
aiti-14192	74	13	both	both	PRON
aiti-14192	74	14	linear	linear	ADJ
aiti-14192	74	15	and	and	CCONJ
aiti-14192	74	16	nonlinear	nonlinear	ADJ
aiti-14192	74	17	modeling	modeling	NOUN
aiti-14192	74	18	approaches	approach	NOUN
aiti-14192	74	19	to	to	PART
aiti-14192	74	20	enhance	enhance	VERB
aiti-14192	74	21	the	the	DET
aiti-14192	74	22	accuracy	accuracy	NOUN
aiti-14192	74	23	of	of	ADP
aiti-14192	74	24	stock	stock	NOUN
aiti-14192	74	25	market	market	NOUN
aiti-14192	74	26	forecasting	forecasting	NOUN
aiti-14192	74	27	.	.	PUNCT
aiti-14192	75	1	by	by	ADP
aiti-14192	75	2	focusing	focus	VERB
aiti-14192	75	3	on	on	ADP
aiti-14192	75	4	optimizing	optimize	VERB
aiti-14192	75	5	lags	lag	NOUN
aiti-14192	75	6	and	and	CCONJ
aiti-14192	75	7	hidden	hidden	ADJ
aiti-14192	75	8	layers	layer	NOUN
aiti-14192	75	9	,	,	PUNCT
aiti-14192	75	10	the	the	DET
aiti-14192	75	11	hybrid	hybrid	NOUN
aiti-14192	75	12	model	model	NOUN
aiti-14192	75	13	combines	combine	VERB
aiti-14192	75	14	arimax	arimax	ADV
aiti-14192	75	15	as	as	ADP
aiti-14192	75	16	a	a	DET
aiti-14192	75	17	linear	linear	ADJ
aiti-14192	75	18	component	component	NOUN
aiti-14192	75	19	and	and	CCONJ
aiti-14192	75	20	neural	neural	ADJ
aiti-14192	75	21	networks	network	NOUN
aiti-14192	75	22	(	(	PUNCT
aiti-14192	75	23	ann	ann	PROPN
aiti-14192	75	24	/	/	SYM
aiti-14192	75	25	ernn	ernn	PROPN
aiti-14192	75	26	)	)	PUNCT
aiti-14192	75	27	as	as	ADP
aiti-14192	75	28	nonlinear	nonlinear	ADJ
aiti-14192	75	29	components	component	NOUN
aiti-14192	75	30	.	.	PUNCT
aiti-14192	76	1	this	this	DET
aiti-14192	76	2	section	section	NOUN
aiti-14192	76	3	details	detail	VERB
aiti-14192	76	4	the	the	DET
aiti-14192	76	5	experimental	experimental	ADJ
aiti-14192	76	6	environment	environment	NOUN
aiti-14192	76	7	,	,	PUNCT
aiti-14192	76	8	the	the	DET
aiti-14192	76	9	data	datum	NOUN
aiti-14192	76	10	used	use	VERB
aiti-14192	76	11	,	,	PUNCT
aiti-14192	76	12	and	and	CCONJ
aiti-14192	76	13	the	the	DET
aiti-14192	76	14	statistical	statistical	ADJ
aiti-14192	76	15	methods	method	NOUN
aiti-14192	76	16	applied	apply	VERB
aiti-14192	76	17	to	to	PART
aiti-14192	76	18	test	test	VERB
aiti-14192	76	19	the	the	DET
aiti-14192	76	20	efficacy	efficacy	NOUN
aiti-14192	76	21	of	of	ADP
aiti-14192	76	22	the	the	DET
aiti-14192	76	23	hybrid	hybrid	ADJ
aiti-14192	76	24	model	model	NOUN
aiti-14192	76	25	.	.	PUNCT
aiti-14192	77	1	3.1	3.1	NUM
aiti-14192	77	2	.	.	PUNCT
aiti-14192	77	3	experimental	experimental	ADJ
aiti-14192	77	4	environment	environment	NOUN
aiti-14192	77	5	all	all	DET
aiti-14192	77	6	experiments	experiment	NOUN
aiti-14192	77	7	were	be	AUX
aiti-14192	77	8	conducted	conduct	VERB
aiti-14192	77	9	on	on	ADP
aiti-14192	77	10	a	a	DET
aiti-14192	77	11	microsoft	microsoft	PROPN
aiti-14192	77	12	surface	surface	NOUN
aiti-14192	77	13	pro	pro	ADJ
aiti-14192	77	14	(	(	PUNCT
aiti-14192	77	15	5th	5th	ADJ
aiti-14192	77	16	generation	generation	NOUN
aiti-14192	77	17	)	)	PUNCT
aiti-14192	77	18	equipped	equip	VERB
aiti-14192	77	19	with	with	ADP
aiti-14192	77	20	an	an	DET
aiti-14192	77	21	intel	intel	PROPN
aiti-14192	77	22	core	core	NOUN
aiti-14192	77	23	i5	i5	PROPN
aiti-14192	77	24	-	-	PUNCT
aiti-14192	77	25	7200u	7200u	NUM
aiti-14192	77	26	processor	processor	NOUN
aiti-14192	77	27	,	,	PUNCT
aiti-14192	77	28	8	8	NUM
aiti-14192	77	29	gb	gb	NOUN
aiti-14192	77	30	of	of	ADP
aiti-14192	77	31	ram	ram	NOUN
aiti-14192	77	32	,	,	PUNCT
aiti-14192	77	33	and	and	CCONJ
aiti-14192	77	34	a	a	DET
aiti-14192	77	35	256	256	NUM
aiti-14192	77	36	gb	gb	NOUN
aiti-14192	77	37	ssd	ssd	NOUN
aiti-14192	77	38	.	.	PUNCT
aiti-14192	78	1	the	the	DET
aiti-14192	78	2	device	device	NOUN
aiti-14192	78	3	operates	operate	VERB
aiti-14192	78	4	on	on	ADP
aiti-14192	78	5	windows	window	NOUN
aiti-14192	78	6	10	10	NUM
aiti-14192	78	7	pro	pro	ADJ
aiti-14192	78	8	.	.	PUNCT
aiti-14192	79	1	the	the	DET
aiti-14192	79	2	software	software	NOUN
aiti-14192	79	3	environment	environment	NOUN
aiti-14192	79	4	comprises	comprise	VERB
aiti-14192	79	5	r	r	NOUN
aiti-14192	79	6	version	version	NOUN
aiti-14192	79	7	4.4.1	4.4.1	NUM
aiti-14192	79	8	,	,	PUNCT
aiti-14192	79	9	which	which	PRON
aiti-14192	79	10	runs	run	VERB
aiti-14192	79	11	on	on	ADP
aiti-14192	79	12	rstudio	rstudio	ADJ
aiti-14192	79	13	version	version	NOUN
aiti-14192	79	14	2024.04.2	2024.04.2	NUM
aiti-14192	79	15	+	+	NOUN
aiti-14192	79	16	764	764	NUM
aiti-14192	79	17	.	.	PUNCT
aiti-14192	80	1	the	the	DET
aiti-14192	80	2	instruments	instrument	NOUN
aiti-14192	80	3	utilized	utilize	VERB
aiti-14192	80	4	in	in	ADP
aiti-14192	80	5	this	this	DET
aiti-14192	80	6	section	section	NOUN
aiti-14192	80	7	are	be	AUX
aiti-14192	80	8	listed	list	VERB
aiti-14192	80	9	as	as	SCONJ
aiti-14192	80	10	follows	follow	VERB
aiti-14192	80	11	.	.	PUNCT
aiti-14192	81	1	r	r	NOUN
aiti-14192	81	2	packages	package	NOUN
aiti-14192	81	3	were	be	AUX
aiti-14192	81	4	employed	employ	VERB
aiti-14192	81	5	to	to	PART
aiti-14192	81	6	conduct	conduct	VERB
aiti-14192	81	7	the	the	DET
aiti-14192	81	8	analysis	analysis	NOUN
aiti-14192	81	9	.	.	PUNCT
aiti-14192	82	1	the	the	DET
aiti-14192	82	2	tseries	tserie	NOUN
aiti-14192	82	3	package	package	NOUN
aiti-14192	82	4	was	be	AUX
aiti-14192	82	5	used	use	VERB
aiti-14192	82	6	for	for	ADP
aiti-14192	82	7	time	time	NOUN
aiti-14192	82	8	series	series	PROPN
aiti-14192	82	9	modeling	modeling	NOUN
aiti-14192	82	10	and	and	CCONJ
aiti-14192	82	11	statistical	statistical	ADJ
aiti-14192	82	12	tests	test	NOUN
aiti-14192	82	13	.	.	PUNCT
aiti-14192	83	1	the	the	DET
aiti-14192	83	2	neural	neural	ADJ
aiti-14192	83	3	networks	network	NOUN
aiti-14192	83	4	in	in	ADP
aiti-14192	83	5	r	r	NOUN
aiti-14192	83	6	using	use	VERB
aiti-14192	83	7	the	the	DET
aiti-14192	83	8	stuttgart	stuttgart	PROPN
aiti-14192	83	9	neural	neural	PROPN
aiti-14192	83	10	network	network	NOUN
aiti-14192	83	11	simulator	simulator	NOUN
aiti-14192	83	12	(	(	PUNCT
aiti-14192	83	13	rssns	rssns	PROPN
aiti-14192	83	14	)	)	PUNCT
aiti-14192	83	15	was	be	AUX
aiti-14192	83	16	utilized	utilize	VERB
aiti-14192	83	17	to	to	PART
aiti-14192	83	18	implement	implement	VERB
aiti-14192	83	19	ernn	ernn	NOUN
aiti-14192	83	20	,	,	PUNCT
aiti-14192	83	21	and	and	CCONJ
aiti-14192	83	22	the	the	DET
aiti-14192	83	23	neuralnet	neuralnet	NOUN
aiti-14192	83	24	package	package	NOUN
aiti-14192	83	25	was	be	AUX
aiti-14192	83	26	applied	apply	VERB
aiti-14192	83	27	to	to	PART
aiti-14192	83	28	implement	implement	VERB
aiti-14192	83	29	ann	ann	PROPN
aiti-14192	83	30	.	.	PUNCT
aiti-14192	84	1	to	to	PART
aiti-14192	84	2	ensure	ensure	VERB
aiti-14192	84	3	consistency	consistency	NOUN
aiti-14192	84	4	and	and	CCONJ
aiti-14192	84	5	reproducibility	reproducibility	NOUN
aiti-14192	84	6	of	of	ADP
aiti-14192	84	7	the	the	DET
aiti-14192	84	8	neural	neural	ADJ
aiti-14192	84	9	network	network	NOUN
aiti-14192	84	10	models	model	NOUN
aiti-14192	84	11	,	,	PUNCT
aiti-14192	84	12	a	a	DET
aiti-14192	84	13	fixed	fix	VERB
aiti-14192	84	14	random	random	ADJ
aiti-14192	84	15	seed	seed	NOUN
aiti-14192	84	16	(	(	PUNCT
aiti-14192	84	17	set.seed(51237	set.seed(51237	NUM
aiti-14192	84	18	)	)	PUNCT
aiti-14192	84	19	)	)	PUNCT
aiti-14192	84	20	was	be	AUX
aiti-14192	84	21	used	use	VERB
aiti-14192	84	22	in	in	ADP
aiti-14192	84	23	all	all	DET
aiti-14192	84	24	relevant	relevant	ADJ
aiti-14192	84	25	experiments	experiment	NOUN
aiti-14192	84	26	.	.	PUNCT
aiti-14192	85	1	3.2	3.2	NUM
aiti-14192	85	2	.	.	PUNCT
aiti-14192	86	1	data	datum	NOUN
aiti-14192	86	2	description	description	NOUN
aiti-14192	86	3	this	this	DET
aiti-14192	86	4	research	research	NOUN
aiti-14192	86	5	considers	consider	VERB
aiti-14192	86	6	secondary	secondary	ADJ
aiti-14192	86	7	data	datum	NOUN
aiti-14192	86	8	,	,	PUNCT
aiti-14192	86	9	including	include	VERB
aiti-14192	86	10	the	the	DET
aiti-14192	86	11	stock	stock	NOUN
aiti-14192	86	12	exchange	exchange	NOUN
aiti-14192	86	13	of	of	ADP
aiti-14192	86	14	thailand	thailand	PROPN
aiti-14192	86	15	(	(	PUNCT
aiti-14192	86	16	set	set	NOUN
aiti-14192	86	17	)	)	PUNCT
aiti-14192	86	18	index	index	NOUN
aiti-14192	86	19	across	across	ADP
aiti-14192	86	20	eight	eight	NUM
aiti-14192	86	21	industries	industry	NOUN
aiti-14192	86	22	,	,	PUNCT
aiti-14192	86	23	as	as	SCONJ
aiti-14192	86	24	shown	show	VERB
aiti-14192	86	25	in	in	ADP
aiti-14192	86	26	table	table	NOUN
aiti-14192	86	27	1	1	NUM
aiti-14192	86	28	.	.	PUNCT
aiti-14192	87	1	these	these	DET
aiti-14192	87	2	industries	industry	NOUN
aiti-14192	87	3	encompass	encompass	VERB
aiti-14192	87	4	the	the	DET
aiti-14192	87	5	agro	agro	NOUN
aiti-14192	87	6	and	and	CCONJ
aiti-14192	87	7	food	food	NOUN
aiti-14192	87	8	industry	industry	NOUN
aiti-14192	87	9	(	(	PUNCT
aiti-14192	87	10	seta	seta	PROPN
aiti-14192	87	11	)	)	PUNCT
aiti-14192	87	12	,	,	PUNCT
aiti-14192	87	13	consumer	consumer	NOUN
aiti-14192	87	14	products	product	NOUN
aiti-14192	87	15	(	(	PUNCT
aiti-14192	87	16	setc	setc	NOUN
aiti-14192	87	17	)	)	PUNCT
aiti-14192	87	18	,	,	PUNCT
aiti-14192	87	19	financials	financial	NOUN
aiti-14192	87	20	(	(	PUNCT
aiti-14192	87	21	setf	setf	NOUN
aiti-14192	87	22	)	)	PUNCT
aiti-14192	87	23	,	,	PUNCT
aiti-14192	87	24	industrials	industrial	NOUN
aiti-14192	87	25	(	(	PUNCT
aiti-14192	87	26	seti	seti	NOUN
aiti-14192	87	27	)	)	PUNCT
aiti-14192	87	28	,	,	PUNCT
aiti-14192	87	29	property	property	NOUN
aiti-14192	87	30	and	and	CCONJ
aiti-14192	87	31	construction	construction	NOUN
aiti-14192	87	32	(	(	PUNCT
aiti-14192	87	33	setp	setp	NOUN
aiti-14192	87	34	)	)	PUNCT
aiti-14192	87	35	,	,	PUNCT
aiti-14192	87	36	resources	resource	NOUN
aiti-14192	87	37	(	(	PUNCT
aiti-14192	87	38	setr	setr	PROPN
aiti-14192	87	39	)	)	PUNCT
aiti-14192	87	40	,	,	PUNCT
aiti-14192	87	41	services	service	NOUN
aiti-14192	87	42	(	(	PUNCT
aiti-14192	87	43	sets	set	NOUN
aiti-14192	87	44	)	)	PUNCT
aiti-14192	87	45	,	,	PUNCT
aiti-14192	87	46	and	and	CCONJ
aiti-14192	87	47	technology	technology	NOUN
aiti-14192	87	48	(	(	PUNCT
aiti-14192	87	49	sett	sett	PROPN
aiti-14192	87	50	)	)	PUNCT
aiti-14192	88	1	[	[	X
aiti-14192	88	2	15	15	NUM
aiti-14192	88	3	]	]	PUNCT
aiti-14192	88	4	.	.	PUNCT
aiti-14192	89	1	table	table	NOUN
aiti-14192	89	2	1	1	NUM
aiti-14192	89	3	the	the	DET
aiti-14192	89	4	list	list	NOUN
aiti-14192	89	5	of	of	ADP
aiti-14192	89	6	industry	industry	NOUN
aiti-14192	89	7	groups	group	NOUN
aiti-14192	89	8	and	and	CCONJ
aiti-14192	89	9	sectors	sector	NOUN
aiti-14192	89	10	in	in	ADP
aiti-14192	89	11	the	the	DET
aiti-14192	89	12	stock	stock	NOUN
aiti-14192	89	13	exchange	exchange	NOUN
aiti-14192	89	14	of	of	ADP
aiti-14192	89	15	thailand	thailand	PROPN
aiti-14192	89	16	(	(	PUNCT
aiti-14192	89	17	set	set	NOUN
aiti-14192	89	18	)	)	PUNCT
aiti-14192	89	19	industry	industry	NOUN
aiti-14192	89	20	abbreviation	abbreviation	NOUN
aiti-14192	89	21	sector	sector	NOUN
aiti-14192	89	22	agro	agro	NOUN
aiti-14192	89	23	and	and	CCONJ
aiti-14192	89	24	food	food	NOUN
aiti-14192	89	25	industry	industry	NOUN
aiti-14192	89	26	seta	seta	PROPN
aiti-14192	89	27	agribusiness	agribusiness	PROPN
aiti-14192	89	28	,	,	PUNCT
aiti-14192	89	29	food	food	NOUN
aiti-14192	89	30	and	and	CCONJ
aiti-14192	89	31	beverage	beverage	NOUN
aiti-14192	89	32	consumer	consumer	NOUN
aiti-14192	89	33	products	product	NOUN
aiti-14192	89	34	setc	setc	NOUN
aiti-14192	89	35	fashion	fashion	NOUN
aiti-14192	89	36	,	,	PUNCT
aiti-14192	89	37	home	home	NOUN
aiti-14192	89	38	and	and	CCONJ
aiti-14192	89	39	office	office	NOUN
aiti-14192	89	40	products	product	NOUN
aiti-14192	89	41	,	,	PUNCT
aiti-14192	89	42	personal	personal	ADJ
aiti-14192	89	43	products	product	NOUN
aiti-14192	89	44	and	and	CCONJ
aiti-14192	89	45	pharmaceuticals	pharmaceutical	NOUN
aiti-14192	89	46	88	88	NUM
aiti-14192	89	47	advances	advance	NOUN
aiti-14192	89	48	in	in	ADP
aiti-14192	89	49	technology	technology	NOUN
aiti-14192	89	50	innovation	innovation	NOUN
aiti-14192	89	51	,	,	PUNCT
aiti-14192	89	52	vol	vol	NOUN
aiti-14192	89	53	.	.	PROPN
aiti-14192	89	54	10	10	NUM
aiti-14192	89	55	,	,	PUNCT
aiti-14192	89	56	no	no	INTJ
aiti-14192	89	57	.	.	NOUN
aiti-14192	89	58	2	2	NUM
aiti-14192	89	59	,	,	PUNCT
aiti-14192	89	60	2025	2025	NUM
aiti-14192	89	61	,	,	PUNCT
aiti-14192	89	62	pp	pp	ADJ
aiti-14192	89	63	.	.	PUNCT
aiti-14192	90	1	85	85	NUM
aiti-14192	90	2	-	-	SYM
aiti-14192	90	3	101	101	NUM
aiti-14192	90	4	table	table	NOUN
aiti-14192	90	5	1	1	NUM
aiti-14192	90	6	the	the	DET
aiti-14192	90	7	list	list	NOUN
aiti-14192	90	8	of	of	ADP
aiti-14192	90	9	industry	industry	NOUN
aiti-14192	90	10	groups	group	NOUN
aiti-14192	90	11	and	and	CCONJ
aiti-14192	90	12	sectors	sector	NOUN
aiti-14192	90	13	in	in	ADP
aiti-14192	90	14	the	the	DET
aiti-14192	90	15	stock	stock	NOUN
aiti-14192	90	16	exchange	exchange	NOUN
aiti-14192	90	17	of	of	ADP
aiti-14192	90	18	thailand	thailand	PROPN
aiti-14192	90	19	(	(	PUNCT
aiti-14192	90	20	set	set	PROPN
aiti-14192	90	21	)	)	PUNCT
aiti-14192	90	22	(	(	PUNCT
aiti-14192	90	23	continued	continue	VERB
aiti-14192	90	24	)	)	PUNCT
aiti-14192	90	25	industry	industry	NOUN
aiti-14192	90	26	abbreviation	abbreviation	NOUN
aiti-14192	90	27	sector	sector	NOUN
aiti-14192	90	28	financials	financial	NOUN
aiti-14192	90	29	setf	setf	NOUN
aiti-14192	90	30	banking	banking	NOUN
aiti-14192	90	31	,	,	PUNCT
aiti-14192	90	32	finance	finance	NOUN
aiti-14192	90	33	and	and	CCONJ
aiti-14192	90	34	securities	security	NOUN
aiti-14192	90	35	,	,	PUNCT
aiti-14192	90	36	insurance	insurance	NOUN
aiti-14192	90	37	industrials	industrial	NOUN
aiti-14192	90	38	seti	seti	PROPN
aiti-14192	90	39	automotive	automotive	ADJ
aiti-14192	90	40	,	,	PUNCT
aiti-14192	90	41	industrial	industrial	ADJ
aiti-14192	90	42	materials	material	NOUN
aiti-14192	90	43	and	and	CCONJ
aiti-14192	90	44	machinery	machinery	NOUN
aiti-14192	90	45	,	,	PUNCT
aiti-14192	90	46	paper	paper	NOUN
aiti-14192	90	47	and	and	CCONJ
aiti-14192	90	48	printing	printing	NOUN
aiti-14192	90	49	materials	material	NOUN
aiti-14192	90	50	,	,	PUNCT
aiti-14192	90	51	petrochemicals	petrochemical	NOUN
aiti-14192	90	52	and	and	CCONJ
aiti-14192	90	53	chemicals	chemical	NOUN
aiti-14192	90	54	,	,	PUNCT
aiti-14192	90	55	packaging	packaging	NOUN
aiti-14192	90	56	,	,	PUNCT
aiti-14192	90	57	steel	steel	NOUN
aiti-14192	90	58	property	property	NOUN
aiti-14192	90	59	and	and	CCONJ
aiti-14192	90	60	construction	construction	NOUN
aiti-14192	90	61	setp	setp	NOUN
aiti-14192	90	62	construction	construction	NOUN
aiti-14192	90	63	materials	material	NOUN
aiti-14192	90	64	,	,	PUNCT
aiti-14192	90	65	construction	construction	NOUN
aiti-14192	90	66	services	service	NOUN
aiti-14192	90	67	,	,	PUNCT
aiti-14192	90	68	property	property	NOUN
aiti-14192	90	69	fund	fund	NOUN
aiti-14192	90	70	and	and	CCONJ
aiti-14192	90	71	real	real	ADJ
aiti-14192	90	72	estate	estate	NOUN
aiti-14192	90	73	investment	investment	NOUN
aiti-14192	90	74	trusts	trust	NOUN
aiti-14192	90	75	,	,	PUNCT
aiti-14192	90	76	property	property	NOUN
aiti-14192	90	77	development	development	NOUN
aiti-14192	90	78	resources	resource	NOUN
aiti-14192	90	79	setr	setr	PROPN
aiti-14192	90	80	energy	energy	NOUN
aiti-14192	90	81	and	and	CCONJ
aiti-14192	90	82	utilities	utility	NOUN
aiti-14192	90	83	,	,	PUNCT
aiti-14192	90	84	mining	mining	NOUN
aiti-14192	90	85	services	service	NOUN
aiti-14192	90	86	sets	set	VERB
aiti-14192	90	87	commerce	commerce	NOUN
aiti-14192	90	88	,	,	PUNCT
aiti-14192	90	89	health	health	NOUN
aiti-14192	90	90	care	care	NOUN
aiti-14192	90	91	services	service	NOUN
aiti-14192	90	92	,	,	PUNCT
aiti-14192	90	93	media	medium	NOUN
aiti-14192	90	94	and	and	CCONJ
aiti-14192	90	95	publishing	publishing	NOUN
aiti-14192	90	96	,	,	PUNCT
aiti-14192	90	97	professional	professional	ADJ
aiti-14192	90	98	services	service	NOUN
aiti-14192	90	99	,	,	PUNCT
aiti-14192	90	100	tourism	tourism	NOUN
aiti-14192	90	101	and	and	CCONJ
aiti-14192	90	102	leisure	leisure	NOUN
aiti-14192	90	103	,	,	PUNCT
aiti-14192	90	104	transportation	transportation	NOUN
aiti-14192	90	105	and	and	CCONJ
aiti-14192	90	106	logistics	logistic	NOUN
aiti-14192	90	107	technology	technology	NOUN
aiti-14192	90	108	sett	sett	PROPN
aiti-14192	90	109	electronic	electronic	ADJ
aiti-14192	90	110	components	component	NOUN
aiti-14192	90	111	,	,	PUNCT
aiti-14192	90	112	information	information	NOUN
aiti-14192	90	113	and	and	CCONJ
aiti-14192	90	114	communication	communication	NOUN
aiti-14192	90	115	technology	technology	NOUN
aiti-14192	90	116	the	the	DET
aiti-14192	90	117	study	study	NOUN
aiti-14192	90	118	also	also	ADV
aiti-14192	90	119	examined	examine	VERB
aiti-14192	90	120	the	the	DET
aiti-14192	90	121	google	google	PROPN
aiti-14192	90	122	trends	trend	NOUN
aiti-14192	90	123	(	(	PUNCT
aiti-14192	90	124	ggt	ggt	NOUN
aiti-14192	90	125	)	)	PUNCT
aiti-14192	90	126	index	index	NOUN
aiti-14192	90	127	and	and	CCONJ
aiti-14192	90	128	the	the	DET
aiti-14192	90	129	exchange	exchange	NOUN
aiti-14192	90	130	rate	rate	NOUN
aiti-14192	90	131	between	between	ADP
aiti-14192	90	132	the	the	DET
aiti-14192	90	133	thai	thai	PROPN
aiti-14192	90	134	baht	baht	PROPN
aiti-14192	90	135	(	(	PUNCT
aiti-14192	90	136	thb	thb	NOUN
aiti-14192	90	137	)	)	PUNCT
aiti-14192	90	138	and	and	CCONJ
aiti-14192	90	139	the	the	DET
aiti-14192	90	140	us	us	PROPN
aiti-14192	90	141	dollar	dollar	NOUN
aiti-14192	90	142	.	.	PUNCT
aiti-14192	91	1	it	it	PRON
aiti-14192	91	2	should	should	AUX
aiti-14192	91	3	be	be	AUX
aiti-14192	91	4	noted	note	VERB
aiti-14192	91	5	that	that	SCONJ
aiti-14192	91	6	the	the	DET
aiti-14192	91	7	idea	idea	NOUN
aiti-14192	91	8	of	of	ADP
aiti-14192	91	9	this	this	DET
aiti-14192	91	10	section	section	NOUN
aiti-14192	91	11	is	be	AUX
aiti-14192	91	12	oriented	orient	VERB
aiti-14192	91	13	by	by	ADP
aiti-14192	91	14	napon	napon	NOUN
aiti-14192	91	15	’s	’s	PART
aiti-14192	91	16	work	work	NOUN
aiti-14192	92	1	[	[	X
aiti-14192	92	2	16	16	NUM
aiti-14192	92	3	]	]	PUNCT
aiti-14192	92	4	.	.	PUNCT
aiti-14192	93	1	the	the	DET
aiti-14192	93	2	collected	collect	VERB
aiti-14192	93	3	data	datum	NOUN
aiti-14192	93	4	was	be	AUX
aiti-14192	93	5	divided	divide	VERB
aiti-14192	93	6	into	into	ADP
aiti-14192	93	7	four	four	NUM
aiti-14192	93	8	periods	period	NOUN
aiti-14192	93	9	.	.	PUNCT
aiti-14192	94	1	the	the	DET
aiti-14192	94	2	first	first	ADJ
aiti-14192	94	3	period	period	NOUN
aiti-14192	94	4	is	be	AUX
aiti-14192	94	5	from	from	ADP
aiti-14192	94	6	2	2	NUM
aiti-14192	94	7	january	january	NOUN
aiti-14192	94	8	2020	2020	NUM
aiti-14192	94	9	to	to	ADP
aiti-14192	94	10	1	1	NUM
aiti-14192	94	11	june	june	PROPN
aiti-14192	94	12	2020	2020	NUM
aiti-14192	94	13	.	.	PUNCT
aiti-14192	95	1	regarding	regard	VERB
aiti-14192	95	2	the	the	DET
aiti-14192	95	3	second	second	ADJ
aiti-14192	95	4	period	period	NOUN
aiti-14192	95	5	,	,	PUNCT
aiti-14192	95	6	it	it	PRON
aiti-14192	95	7	is	be	AUX
aiti-14192	95	8	from	from	ADP
aiti-14192	95	9	2	2	NUM
aiti-14192	95	10	november	november	NOUN
aiti-14192	95	11	2020	2020	NUM
aiti-14192	95	12	to	to	ADP
aiti-14192	95	13	1	1	NUM
aiti-14192	95	14	march	march	NOUN
aiti-14192	95	15	2021	2021	NUM
aiti-14192	95	16	.	.	PUNCT
aiti-14192	96	1	the	the	DET
aiti-14192	96	2	third	third	ADJ
aiti-14192	96	3	period	period	NOUN
aiti-14192	96	4	started	start	VERB
aiti-14192	96	5	from	from	ADP
aiti-14192	96	6	1	1	NUM
aiti-14192	96	7	march	march	NOUN
aiti-14192	96	8	2021	2021	NUM
aiti-14192	96	9	to	to	ADP
aiti-14192	96	10	15	15	NUM
aiti-14192	96	11	june	june	PROPN
aiti-14192	96	12	2021	2021	NUM
aiti-14192	96	13	,	,	PUNCT
aiti-14192	96	14	and	and	CCONJ
aiti-14192	96	15	the	the	DET
aiti-14192	96	16	fourth	fourth	ADJ
aiti-14192	96	17	period	period	NOUN
aiti-14192	96	18	is	be	AUX
aiti-14192	96	19	from	from	ADP
aiti-14192	96	20	16	16	NUM
aiti-14192	96	21	june	june	PROPN
aiti-14192	96	22	2021	2021	NUM
aiti-14192	96	23	to	to	ADP
aiti-14192	96	24	30	30	NUM
aiti-14192	96	25	december	december	PROPN
aiti-14192	96	26	2021	2021	NUM
aiti-14192	96	27	.	.	PUNCT
aiti-14192	97	1	all	all	DET
aiti-14192	97	2	variables	variable	NOUN
aiti-14192	97	3	will	will	AUX
aiti-14192	97	4	be	be	AUX
aiti-14192	97	5	converted	convert	VERB
aiti-14192	97	6	to	to	ADP
aiti-14192	97	7	the	the	DET
aiti-14192	97	8	growth	growth	NOUN
aiti-14192	97	9	rate	rate	NOUN
aiti-14192	97	10	and	and	CCONJ
aiti-14192	97	11	return	return	NOUN
aiti-14192	97	12	by	by	ADP
aiti-14192	97	13	using	use	VERB
aiti-14192	97	14	the	the	DET
aiti-14192	97	15	conventional	conventional	ADJ
aiti-14192	97	16	formula	formula	NOUN
aiti-14192	97	17	.	.	PUNCT
aiti-14192	98	1	1	1	NUM
aiti-14192	98	2	ln	ln	ADJ
aiti-14192	98	3	−	−	PROPN
aiti-14192	98	4			NOUN
aiti-14192	98	5			NOUN
aiti-14192	98	6	=	=	SYM
aiti-14192	98	7			PROPN
aiti-14192	98	8			PROPN
aiti-14192	99	1			PROPN
aiti-14192	99	2			PROPN
aiti-14192	99	3	t	t	NOUN
aiti-14192	99	4	t	t	NOUN
aiti-14192	99	5	t	t	NOUN
aiti-14192	99	6	p	p	NOUN
aiti-14192	99	7	r	r	NOUN
aiti-14192	99	8	p	p	X
aiti-14192	99	9	(	(	PUNCT
aiti-14192	99	10	1	1	NUM
aiti-14192	99	11	)	)	PUNCT
aiti-14192	99	12	where	where	SCONJ
aiti-14192	99	13	�	�	PROPN
aiti-14192	99	14	�	�	PROPN
aiti-14192	99	15	is	be	AUX
aiti-14192	99	16	the	the	DET
aiti-14192	99	17	return	return	NOUN
aiti-14192	99	18	of	of	ADP
aiti-14192	99	19	the	the	DET
aiti-14192	99	20	index	index	NOUN
aiti-14192	99	21	,	,	PUNCT
aiti-14192	99	22	�	�	PROPN
aiti-14192	99	23	�	�	PROPN
aiti-14192	99	24	is	be	AUX
aiti-14192	99	25	the	the	DET
aiti-14192	99	26	data	datum	NOUN
aiti-14192	99	27	for	for	ADP
aiti-14192	99	28	today	today	NOUN
aiti-14192	99	29	,	,	PUNCT
aiti-14192	99	30	�	�	PROPN
aiti-14192	99	31	�	�	PROPN
aiti-14192	99	32	�	�	PROPN
aiti-14192	99	33	�	�	PROPN
aiti-14192	99	34	is	be	AUX
aiti-14192	99	35	the	the	DET
aiti-14192	99	36	data	datum	NOUN
aiti-14192	99	37	for	for	ADP
aiti-14192	99	38	yesterday	yesterday	NOUN
aiti-14192	99	39	.	.	PUNCT
aiti-14192	100	1	to	to	PART
aiti-14192	100	2	ensure	ensure	VERB
aiti-14192	100	3	the	the	DET
aiti-14192	100	4	robustness	robustness	NOUN
aiti-14192	100	5	of	of	ADP
aiti-14192	100	6	the	the	DET
aiti-14192	100	7	analysis	analysis	NOUN
aiti-14192	100	8	,	,	PUNCT
aiti-14192	100	9	all	all	DET
aiti-14192	100	10	variables	variable	NOUN
aiti-14192	100	11	underwent	undergo	VERB
aiti-14192	100	12	stationarity	stationarity	NOUN
aiti-14192	100	13	testing	testing	NOUN
aiti-14192	100	14	utilizing	utilize	VERB
aiti-14192	100	15	the	the	DET
aiti-14192	100	16	phillips	phillip	NOUN
aiti-14192	100	17	-	-	PUNCT
aiti-14192	100	18	perron	perron	PROPN
aiti-14192	100	19	(	(	PUNCT
aiti-14192	100	20	pp	pp	ADJ
aiti-14192	100	21	)	)	PUNCT
aiti-14192	100	22	test	test	NOUN
aiti-14192	100	23	.	.	PUNCT
aiti-14192	101	1	the	the	DET
aiti-14192	101	2	pp	pp	PROPN
aiti-14192	101	3	test	test	NOUN
aiti-14192	101	4	,	,	PUNCT
aiti-14192	101	5	introduced	introduce	VERB
aiti-14192	101	6	by	by	ADP
aiti-14192	101	7	phillips	phillip	NOUN
aiti-14192	101	8	and	and	CCONJ
aiti-14192	101	9	perron	perron	PROPN
aiti-14192	101	10	(	(	PUNCT
aiti-14192	101	11	1988	1988	NUM
aiti-14192	101	12	)	)	PUNCT
aiti-14192	101	13	,	,	PUNCT
aiti-14192	101	14	is	be	AUX
aiti-14192	101	15	used	use	VERB
aiti-14192	101	16	to	to	PART
aiti-14192	101	17	determine	determine	VERB
aiti-14192	101	18	whether	whether	SCONJ
aiti-14192	101	19	a	a	DET
aiti-14192	101	20	time	time	NOUN
aiti-14192	101	21	series	series	NOUN
aiti-14192	101	22	is	be	AUX
aiti-14192	101	23	stationary	stationary	ADJ
aiti-14192	101	24	.	.	PUNCT
aiti-14192	102	1	the	the	DET
aiti-14192	102	2	null	null	ADJ
aiti-14192	102	3	hypothesis	hypothesis	NOUN
aiti-14192	102	4	(	(	PUNCT
aiti-14192	102	5	h₀	h₀	NOUN
aiti-14192	102	6	)	)	PUNCT
aiti-14192	102	7	of	of	ADP
aiti-14192	102	8	the	the	DET
aiti-14192	102	9	pp	pp	PROPN
aiti-14192	102	10	test	test	NOUN
aiti-14192	102	11	states	state	NOUN
aiti-14192	102	12	that	that	SCONJ
aiti-14192	102	13	the	the	DET
aiti-14192	102	14	time	time	NOUN
aiti-14192	102	15	series	series	PROPN
aiti-14192	102	16	has	have	AUX
aiti-14192	102	17	a	a	DET
aiti-14192	102	18	unit	unit	NOUN
aiti-14192	102	19	root	root	NOUN
aiti-14192	102	20	,	,	PUNCT
aiti-14192	102	21	implying	imply	VERB
aiti-14192	102	22	it	it	PRON
aiti-14192	102	23	is	be	AUX
aiti-14192	102	24	non	non	ADJ
aiti-14192	102	25	-	-	ADJ
aiti-14192	102	26	stationary	stationary	ADJ
aiti-14192	102	27	.	.	PUNCT
aiti-14192	103	1	the	the	DET
aiti-14192	103	2	alternative	alternative	ADJ
aiti-14192	103	3	hypothesis	hypothesis	NOUN
aiti-14192	103	4	(	(	PUNCT
aiti-14192	103	5	h₁	h₁	NOUN
aiti-14192	103	6	)	)	PUNCT
aiti-14192	103	7	states	state	VERB
aiti-14192	103	8	that	that	SCONJ
aiti-14192	103	9	the	the	DET
aiti-14192	103	10	time	time	NOUN
aiti-14192	103	11	series	series	PROPN
aiti-14192	103	12	is	be	AUX
aiti-14192	103	13	stationary	stationary	ADJ
aiti-14192	103	14	.	.	PUNCT
aiti-14192	104	1	concerning	concern	VERB
aiti-14192	104	2	this	this	DET
aiti-14192	104	3	study	study	NOUN
aiti-14192	104	4	,	,	PUNCT
aiti-14192	104	5	a	a	DET
aiti-14192	104	6	significant	significant	ADJ
aiti-14192	104	7	threshold	threshold	NOUN
aiti-14192	104	8	was	be	AUX
aiti-14192	104	9	set	set	VERB
aiti-14192	104	10	at	at	ADP
aiti-14192	104	11	a	a	DET
aiti-14192	104	12	p	p	NOUN
aiti-14192	104	13	-	-	PUNCT
aiti-14192	104	14	value	value	NOUN
aiti-14192	104	15	of	of	ADP
aiti-14192	104	16	less	less	ADJ
aiti-14192	104	17	than	than	ADP
aiti-14192	104	18	0.05	0.05	NUM
aiti-14192	104	19	,	,	PUNCT
aiti-14192	104	20	ensuring	ensure	VERB
aiti-14192	104	21	that	that	SCONJ
aiti-14192	104	22	the	the	DET
aiti-14192	104	23	variables	variable	NOUN
aiti-14192	104	24	are	be	AUX
aiti-14192	104	25	appropriately	appropriately	ADV
aiti-14192	104	26	stationary	stationary	ADJ
aiti-14192	104	27	for	for	ADP
aiti-14192	104	28	accurate	accurate	ADJ
aiti-14192	104	29	modeling	modeling	NOUN
aiti-14192	104	30	and	and	CCONJ
aiti-14192	104	31	analysis	analysis	NOUN
aiti-14192	104	32	[	[	X
aiti-14192	104	33	17	17	NUM
aiti-14192	104	34	]	]	SYM
aiti-14192	104	35	.	.	PUNCT
aiti-14192	105	1	3.3	3.3	NUM
aiti-14192	105	2	.	.	PUNCT
aiti-14192	106	1	cross	cross	ADJ
aiti-14192	106	2	-	-	ADJ
aiti-14192	106	3	correlation	correlation	ADJ
aiti-14192	106	4	function	function	NOUN
aiti-14192	106	5	(	(	PUNCT
aiti-14192	106	6	ccf	ccf	PROPN
aiti-14192	106	7	)	)	PUNCT
aiti-14192	106	8	to	to	PART
aiti-14192	106	9	detect	detect	VERB
aiti-14192	106	10	the	the	DET
aiti-14192	106	11	relationship	relationship	NOUN
aiti-14192	106	12	between	between	ADP
aiti-14192	106	13	the	the	DET
aiti-14192	106	14	two	two	NUM
aiti-14192	106	15	series	series	NOUN
aiti-14192	106	16	,	,	PUNCT
aiti-14192	106	17	a	a	DET
aiti-14192	106	18	cross	cross	ADJ
aiti-14192	106	19	-	-	ADJ
aiti-14192	106	20	correlation	correlation	ADJ
aiti-14192	106	21	function	function	NOUN
aiti-14192	106	22	(	(	PUNCT
aiti-14192	106	23	ccf	ccf	PROPN
aiti-14192	106	24	)	)	PUNCT
aiti-14192	106	25	is	be	AUX
aiti-14192	106	26	conducted	conduct	VERB
aiti-14192	106	27	to	to	PART
aiti-14192	106	28	verify	verify	VERB
aiti-14192	106	29	the	the	DET
aiti-14192	106	30	relationships	relationship	NOUN
aiti-14192	106	31	of	of	ADP
aiti-14192	106	32	the	the	DET
aiti-14192	106	33	series	series	NOUN
aiti-14192	106	34	[	[	X
aiti-14192	106	35	18	18	NUM
aiti-14192	106	36	]	]	PUNCT
aiti-14192	106	37	.	.	PUNCT
aiti-14192	107	1	the	the	DET
aiti-14192	107	2	ccf	ccf	PROPN
aiti-14192	107	3	is	be	AUX
aiti-14192	107	4	defined	define	VERB
aiti-14192	107	5	as	as	SCONJ
aiti-14192	107	6	follows	follow	VERB
aiti-14192	107	7	:	:	PUNCT
aiti-14192	107	8	(	(	PUNCT
aiti-14192	107	9	)	)	PUNCT
aiti-14192	107	10	(	(	PUNCT
aiti-14192	107	11	)	)	PUNCT
aiti-14192	107	12	(	(	PUNCT
aiti-14192	107	13	0	0	NUM
aiti-14192	107	14	)	)	PUNCT
aiti-14192	107	15	(	(	PUNCT
aiti-14192	107	16	0	0	NUM
aiti-14192	107	17	)	)	PUNCT
aiti-14192	107	18	=	=	VERB
aiti-14192	108	1	xy	xy	INTJ
aiti-14192	109	1	xy	xy	INTJ
aiti-14192	109	2	xx	xx	NUM
aiti-14192	110	1	yy	yy	INTJ
aiti-14192	110	2	c	c	PROPN
aiti-14192	111	1	k	k	PROPN
aiti-14192	111	2	ccf	ccf	PROPN
aiti-14192	111	3	k	k	PROPN
aiti-14192	111	4	c	c	PROPN
aiti-14192	111	5	c	c	X
aiti-14192	111	6	(	(	PUNCT
aiti-14192	111	7	2	2	NUM
aiti-14192	111	8	)	)	PUNCT
aiti-14192	111	9	(	(	PUNCT
aiti-14192	111	10	)	)	PUNCT
aiti-14192	111	11	(	(	PUNCT
aiti-14192	111	12	)	)	PUNCT
aiti-14192	111	13	(	(	PUNCT
aiti-14192	111	14	)	)	PUNCT
aiti-14192	111	15	(	(	PUNCT
aiti-14192	111	16	)	)	PUNCT
aiti-14192	111	17	1	1	NUM
aiti-14192	111	18	1	1	NUM
aiti-14192	111	19	1	1	NUM
aiti-14192	111	20	,	,	PUNCT
aiti-14192	111	21	0,1	0,1	NUM
aiti-14192	111	22	,	,	PUNCT
aiti-14192	111	23	,	,	PUNCT
aiti-14192	111	24	1	1	NUM
aiti-14192	111	25	(	(	PUNCT
aiti-14192	111	26	)	)	PUNCT
aiti-14192	111	27	1	1	NUM
aiti-14192	111	28	,	,	PUNCT
aiti-14192	111	29	1	1	NUM
aiti-14192	111	30	,	,	PUNCT
aiti-14192	111	31	2	2	NUM
aiti-14192	111	32	,	,	PUNCT
aiti-14192	111	33	,	,	PUNCT
aiti-14192	111	34	(	(	PUNCT
aiti-14192	111	35	1	1	NUM
aiti-14192	111	36	)	)	PUNCT
aiti-14192	111	37	−	−	PROPN
aiti-14192	112	1	+	+	CCONJ
aiti-14192	112	2	=	=	SYM
aiti-14192	112	3	−	−	PROPN
aiti-14192	113	1	+	+	NUM
aiti-14192	113	2	=	=	SYM
aiti-14192	113	3	−	−	NOUN
aiti-14192	113	4			ADV
aiti-14192	114	1	−	−	PROPN
aiti-14192	115	1	−	−	NOUN
aiti-14192	116	1	=	=	SYM
aiti-14192	116	2	−	−	NOUN
aiti-14192	116	3			NUM
aiti-14192	116	4	=	=	SYM
aiti-14192	116	5			NUM
aiti-14192	116	6			NUM
aiti-14192	116	7	−	−	NOUN
aiti-14192	117	1	−	−	PROPN
aiti-14192	118	1	=	=	SYM
aiti-14192	119	1	−	−	PROPN
aiti-14192	119	2	−	−	PROPN
aiti-14192	119	3	−	−	PROPN
aiti-14192	119	4	−	−	PROPN
aiti-14192	119	5			PROPN
aiti-14192	119	6			X
aiti-14192	119	7			X
aiti-14192	119	8	…	…	PUNCT
aiti-14192	119	9	…	…	PUNCT
aiti-14192	119	10	xx	xx	NUM
aiti-14192	120	1	n	n	PRON
aiti-14192	120	2	k	k	PROPN
aiti-14192	120	3	t	t	PROPN
aiti-14192	121	1	t	t	PROPN
aiti-14192	122	1	k	k	PROPN
aiti-14192	123	1	t	t	PROPN
aiti-14192	124	1	n	n	PROPN
aiti-14192	125	1	k	k	PROPN
aiti-14192	125	2	t	t	PROPN
aiti-14192	125	3	t	t	PROPN
aiti-14192	125	4	k	k	PROPN
aiti-14192	125	5	t	t	PROPN
aiti-14192	126	1	k	k	NOUN
aiti-14192	126	2	x	x	PUNCT
aiti-14192	126	3	x	x	PUNCT
aiti-14192	126	4	y	y	VERB
aiti-14192	126	5	y	y	PROPN
aiti-14192	126	6	k	k	PROPN
aiti-14192	126	7	n	n	CCONJ
aiti-14192	126	8	n	n	PROPN
aiti-14192	126	9	c	c	NOUN
aiti-14192	126	10	k	k	NOUN
aiti-14192	126	11	x	x	PUNCT
aiti-14192	126	12	x	x	VERB
aiti-14192	126	13	y	y	VERB
aiti-14192	126	14	y	y	PROPN
aiti-14192	126	15	k	k	PROPN
aiti-14192	126	16	n	n	CCONJ
aiti-14192	126	17	n	n	PROPN
aiti-14192	126	18	(	(	PUNCT
aiti-14192	126	19	3	3	NUM
aiti-14192	126	20	)	)	PUNCT
aiti-14192	126	21	where	where	SCONJ
aiti-14192	126	22	�	�	PROPN
aiti-14192	126	23	�	�	PROPN
aiti-14192	126	24	�	�	PROPN
aiti-14192	126	25	(	(	PUNCT
aiti-14192	126	26	0	0	NUM
aiti-14192	126	27	)	)	PUNCT
aiti-14192	126	28	and	and	CCONJ
aiti-14192	126	29	�	�	PROPN
aiti-14192	126	30	�	�	PROPN
aiti-14192	126	31	�	�	PROPN
aiti-14192	126	32	(	(	PUNCT
aiti-14192	126	33	0	0	NUM
aiti-14192	126	34	)	)	PUNCT
aiti-14192	126	35	are	be	AUX
aiti-14192	126	36	the	the	DET
aiti-14192	126	37	sample	sample	NOUN
aiti-14192	126	38	variances	variance	NOUN
aiti-14192	126	39	of	of	ADP
aiti-14192	126	40	�	�	PROPN
aiti-14192	126	41	�	�	PROPN
aiti-14192	126	42	�	�	PROPN
aiti-14192	126	43	and	and	CCONJ
aiti-14192	126	44	�	�	PROPN
aiti-14192	126	45	�	�	PROPN
aiti-14192	126	46	�	�	PROPN
aiti-14192	126	47	�	�	PROPN
aiti-14192	126	48	.	.	PUNCT
aiti-14192	127	1	the	the	DET
aiti-14192	127	2	ccf	ccf	PROPN
aiti-14192	127	3	calculates	calculate	VERB
aiti-14192	127	4	the	the	DET
aiti-14192	127	5	linear	linear	ADJ
aiti-14192	127	6	correlation	correlation	NOUN
aiti-14192	127	7	between	between	ADP
aiti-14192	127	8	the	the	DET
aiti-14192	127	9	series	series	NOUN
aiti-14192	127	10	.	.	PUNCT
aiti-14192	128	1	this	this	DET
aiti-14192	128	2	study	study	NOUN
aiti-14192	128	3	focuses	focus	VERB
aiti-14192	128	4	on	on	ADP
aiti-14192	128	5	lag	lag	NOUN
aiti-14192	128	6	0	0	NUM
aiti-14192	128	7	to	to	PART
aiti-14192	128	8	determine	determine	VERB
aiti-14192	128	9	the	the	DET
aiti-14192	128	10	cross	cross	NOUN
aiti-14192	128	11	-	-	NOUN
aiti-14192	128	12	correlation	correlation	NOUN
aiti-14192	128	13	between	between	ADP
aiti-14192	128	14	the	the	DET
aiti-14192	128	15	series	series	NOUN
aiti-14192	128	16	.	.	PUNCT
aiti-14192	129	1	3.4	3.4	NUM
aiti-14192	129	2	.	.	PUNCT
aiti-14192	129	3	hybrid	hybrid	NOUN
aiti-14192	129	4	modeling	model	VERB
aiti-14192	129	5	a	a	DET
aiti-14192	129	6	hybrid	hybrid	ADJ
aiti-14192	129	7	model	model	NOUN
aiti-14192	129	8	separating	separate	VERB
aiti-14192	129	9	linear	linear	ADJ
aiti-14192	129	10	and	and	CCONJ
aiti-14192	129	11	non	non	ADJ
aiti-14192	129	12	-	-	ADJ
aiti-14192	129	13	linear	linear	ADJ
aiti-14192	129	14	components	component	NOUN
aiti-14192	129	15	is	be	AUX
aiti-14192	129	16	a	a	DET
aiti-14192	129	17	sophisticated	sophisticated	ADJ
aiti-14192	129	18	method	method	NOUN
aiti-14192	129	19	used	use	VERB
aiti-14192	129	20	to	to	PART
aiti-14192	129	21	capture	capture	VERB
aiti-14192	129	22	complex	complex	ADJ
aiti-14192	129	23	relationships	relationship	NOUN
aiti-14192	129	24	in	in	ADP
aiti-14192	129	25	a	a	DET
aiti-14192	129	26	dataset	dataset	NOUN
aiti-14192	129	27	by	by	ADP
aiti-14192	129	28	individually	individually	ADV
aiti-14192	129	29	addressing	address	VERB
aiti-14192	129	30	the	the	DET
aiti-14192	129	31	linear	linear	ADJ
aiti-14192	129	32	and	and	CCONJ
aiti-14192	129	33	non	non	ADJ
aiti-14192	129	34	-	-	ADJ
aiti-14192	129	35	linear	linear	ADJ
aiti-14192	129	36	aspects	aspect	NOUN
aiti-14192	129	37	.	.	PUNCT
aiti-14192	130	1	this	this	DET
aiti-14192	130	2	approach	approach	NOUN
aiti-14192	130	3	enhances	enhance	VERB
aiti-14192	130	4	the	the	DET
aiti-14192	130	5	ability	ability	NOUN
aiti-14192	130	6	to	to	PART
aiti-14192	130	7	handle	handle	VERB
aiti-14192	130	8	data	data	NOUN
aiti-14192	130	9	nuances	nuance	NOUN
aiti-14192	130	10	by	by	ADP
aiti-14192	130	11	combining	combine	VERB
aiti-14192	130	12	the	the	DET
aiti-14192	130	13	strengths	strength	NOUN
aiti-14192	130	14	of	of	ADP
aiti-14192	130	15	both	both	CCONJ
aiti-14192	130	16	linear	linear	ADJ
aiti-14192	130	17	and	and	CCONJ
aiti-14192	130	18	non	non	ADJ
aiti-14192	130	19	-	-	ADJ
aiti-14192	130	20	linear	linear	ADJ
aiti-14192	130	21	techniques	technique	NOUN
aiti-14192	130	22	[	[	X
aiti-14192	130	23	19	19	NUM
aiti-14192	130	24	]	]	PUNCT
aiti-14192	130	25	.	.	PUNCT
aiti-14192	131	1	the	the	DET
aiti-14192	131	2	model	model	NOUN
aiti-14192	131	3	was	be	AUX
aiti-14192	131	4	expressed	express	VERB
aiti-14192	131	5	as	as	ADP
aiti-14192	131	6	:	:	PUNCT
aiti-14192	131	7	=	=	SYM
aiti-14192	132	1	+	+	NOUN
aiti-14192	132	2	t	t	X
aiti-14192	132	3	t	t	NOUN
aiti-14192	132	4	ty	ty	INTJ
aiti-14192	132	5	l	l	NOUN
aiti-14192	132	6	n	n	CCONJ
aiti-14192	132	7	(	(	PUNCT
aiti-14192	132	8	4	4	X
aiti-14192	132	9	)	)	PUNCT
aiti-14192	132	10	advances	advance	NOUN
aiti-14192	132	11	in	in	ADP
aiti-14192	132	12	technology	technology	NOUN
aiti-14192	132	13	innovation	innovation	NOUN
aiti-14192	132	14	,	,	PUNCT
aiti-14192	132	15	vol	vol	NOUN
aiti-14192	132	16	.	.	PROPN
aiti-14192	132	17	10	10	NUM
aiti-14192	132	18	,	,	PUNCT
aiti-14192	132	19	no	no	INTJ
aiti-14192	132	20	.	.	NOUN
aiti-14192	132	21	2	2	NUM
aiti-14192	132	22	,	,	PUNCT
aiti-14192	132	23	2025	2025	NUM
aiti-14192	132	24	,	,	PUNCT
aiti-14192	132	25	pp	pp	ADJ
aiti-14192	132	26	.	.	PUNCT
aiti-14192	132	27	85	85	NUM
aiti-14192	132	28	-	-	SYM
aiti-14192	132	29	101	101	NUM
aiti-14192	132	30	89	89	NUM
aiti-14192	132	31	where	where	SCONJ
aiti-14192	132	32	�	�	PROPN
aiti-14192	132	33	�	�	PROPN
aiti-14192	132	34	is	be	AUX
aiti-14192	132	35	the	the	DET
aiti-14192	132	36	original	original	ADJ
aiti-14192	132	37	time	time	NOUN
aiti-14192	132	38	series	series	NOUN
aiti-14192	132	39	,	,	PUNCT
aiti-14192	132	40	�	�	PROPN
aiti-14192	132	41	�	�	PROPN
aiti-14192	132	42	is	be	AUX
aiti-14192	132	43	the	the	DET
aiti-14192	132	44	linear	linear	ADJ
aiti-14192	132	45	term	term	NOUN
aiti-14192	132	46	,	,	PUNCT
aiti-14192	132	47	and	and	CCONJ
aiti-14192	132	48	�	�	PROPN
aiti-14192	132	49	�	�	PROPN
aiti-14192	132	50	is	be	AUX
aiti-14192	132	51	the	the	DET
aiti-14192	132	52	non	non	ADJ
aiti-14192	132	53	-	-	ADJ
aiti-14192	132	54	linear	linear	ADJ
aiti-14192	132	55	term	term	NOUN
aiti-14192	132	56	.	.	PUNCT
aiti-14192	133	1	the	the	DET
aiti-14192	133	2	linear	linear	PROPN
aiti-14192	133	3	component	component	NOUN
aiti-14192	133	4	is	be	AUX
aiti-14192	133	5	estimated	estimate	VERB
aiti-14192	133	6	using	use	VERB
aiti-14192	133	7	the	the	DET
aiti-14192	133	8	arimax	arimax	ADJ
aiti-14192	133	9	model	model	NOUN
aiti-14192	133	10	,	,	PUNCT
aiti-14192	133	11	and	and	CCONJ
aiti-14192	133	12	the	the	DET
aiti-14192	133	13	residuals	residual	NOUN
aiti-14192	133	14	are	be	AUX
aiti-14192	133	15	obtained	obtain	VERB
aiti-14192	133	16	from	from	ADP
aiti-14192	133	17	this	this	DET
aiti-14192	133	18	model	model	NOUN
aiti-14192	133	19	.	.	PUNCT
aiti-14192	134	1	given	give	VERB
aiti-14192	134	2	that	that	SCONJ
aiti-14192	134	3	the	the	DET
aiti-14192	134	4	linear	linear	ADJ
aiti-14192	134	5	term	term	NOUN
aiti-14192	134	6	is	be	AUX
aiti-14192	134	7	obtained	obtain	VERB
aiti-14192	134	8	from	from	ADP
aiti-14192	134	9	the	the	DET
aiti-14192	134	10	following	follow	VERB
aiti-14192	134	11	formula	formula	NOUN
aiti-14192	134	12	,	,	PUNCT
aiti-14192	134	13	the	the	DET
aiti-14192	134	14	residual	residual	ADJ
aiti-14192	134	15	series	series	NOUN
aiti-14192	134	16	�	�	PROPN
aiti-14192	134	17	�	�	PROPN
aiti-14192	134	18	from	from	ADP
aiti-14192	134	19	the	the	DET
aiti-14192	134	20	arimax	arimax	PROPN
aiti-14192	134	21	model	model	NOUN
aiti-14192	134	22	is	be	AUX
aiti-14192	134	23	expressed	express	VERB
aiti-14192	134	24	as	as	SCONJ
aiti-14192	134	25	follows	follow	VERB
aiti-14192	134	26	:	:	PUNCT
aiti-14192	134	27	ˆ=	ˆ=	PROPN
aiti-14192	134	28	−t	−t	PROPN
aiti-14192	134	29	t	t	PROPN
aiti-14192	134	30	tn	tn	PROPN
aiti-14192	134	31	y	y	PROPN
aiti-14192	134	32	l	l	NOUN
aiti-14192	134	33	(	(	PUNCT
aiti-14192	134	34	5	5	NUM
aiti-14192	134	35	)	)	PUNCT
aiti-14192	134	36	where	where	SCONJ
aiti-14192	134	37	�	�	PROPN
aiti-14192	134	38	�	�	PROPN
aiti-14192	134	39	�	�	PROPN
aiti-14192	134	40	denotes	denote	VERB
aiti-14192	134	41	the	the	DET
aiti-14192	134	42	forecasting	forecasting	NOUN
aiti-14192	134	43	value	value	NOUN
aiti-14192	134	44	for	for	ADP
aiti-14192	134	45	time	time	NOUN
aiti-14192	134	46	t	t	PROPN
aiti-14192	134	47	of	of	ADP
aiti-14192	134	48	the	the	DET
aiti-14192	134	49	time	time	NOUN
aiti-14192	134	50	series	series	PROPN
aiti-14192	134	51	�	�	PROPN
aiti-14192	134	52	�	�	PROPN
aiti-14192	134	53	by	by	ADP
aiti-14192	134	54	arimax	arimax	PROPN
aiti-14192	134	55	,	,	PUNCT
aiti-14192	134	56	�	�	PROPN
aiti-14192	134	57	�	�	PROPN
aiti-14192	134	58	represents	represent	VERB
aiti-14192	134	59	the	the	DET
aiti-14192	134	60	non	non	ADJ
aiti-14192	134	61	-	-	ADJ
aiti-14192	134	62	linear	linear	ADJ
aiti-14192	134	63	term	term	NOUN
aiti-14192	134	64	of	of	ADP
aiti-14192	134	65	the	the	DET
aiti-14192	134	66	model	model	NOUN
aiti-14192	134	67	.	.	PUNCT
aiti-14192	135	1	subsequently	subsequently	ADV
aiti-14192	135	2	,	,	PUNCT
aiti-14192	135	3	the	the	DET
aiti-14192	135	4	neural	neural	ADJ
aiti-14192	135	5	network	network	NOUN
aiti-14192	135	6	is	be	AUX
aiti-14192	135	7	used	use	VERB
aiti-14192	135	8	to	to	PART
aiti-14192	135	9	estimate	estimate	VERB
aiti-14192	135	10	�	�	PROPN
aiti-14192	135	11	�	�	PROPN
aiti-14192	135	12	with	with	ADP
aiti-14192	135	13	m	m	NOUN
aiti-14192	135	14	input	input	NOUN
aiti-14192	135	15	nodes	node	NOUN
aiti-14192	135	16	,	,	PUNCT
aiti-14192	135	17	the	the	DET
aiti-14192	135	18	neural	neural	ADJ
aiti-14192	135	19	network	network	NOUN
aiti-14192	135	20	(	(	PUNCT
aiti-14192	135	21	ann	ann	PROPN
aiti-14192	135	22	/	/	SYM
aiti-14192	135	23	ernn	ernn	PROPN
aiti-14192	135	24	)	)	PUNCT
aiti-14192	135	25	model	model	NOUN
aiti-14192	135	26	for	for	ADP
aiti-14192	135	27	the	the	DET
aiti-14192	135	28	residuals	residual	NOUN
aiti-14192	135	29	can	can	AUX
aiti-14192	135	30	be	be	AUX
aiti-14192	135	31	formulated	formulate	VERB
aiti-14192	135	32	as	as	SCONJ
aiti-14192	135	33	follows	follow	VERB
aiti-14192	135	34	:	:	PUNCT
aiti-14192	135	35	(	(	PUNCT
aiti-14192	135	36	)	)	PUNCT
aiti-14192	136	1	*	*	PUNCT
aiti-14192	136	2	1	1	NUM
aiti-14192	136	3	2	2	NUM
aiti-14192	136	4	,	,	PUNCT
aiti-14192	136	5	,	,	PUNCT
aiti-14192	136	6	,	,	PUNCT
aiti-14192	136	7	ε−−	ε−−	PROPN
aiti-14192	136	8	−=	−=	SYM
aiti-14192	136	9	+	+	PROPN
aiti-14192	136	10	…	…	PROPN
aiti-14192	136	11	t	t	PROPN
aiti-14192	136	12	t	t	PROPN
aiti-14192	136	13	m	m	VERB
aiti-14192	136	14	tt	tt	PROPN
aiti-14192	136	15	tn	tn	PROPN
aiti-14192	136	16	f	f	PROPN
aiti-14192	136	17	n	n	CCONJ
aiti-14192	136	18	n	n	CCONJ
aiti-14192	136	19	n	n	CCONJ
aiti-14192	136	20	(	(	PUNCT
aiti-14192	136	21	6	6	NUM
aiti-14192	136	22	)	)	PUNCT
aiti-14192	136	23	where	where	SCONJ
aiti-14192	136	24	�	�	PROPN
aiti-14192	136	25	(	(	PUNCT
aiti-14192	136	26	.	.	PUNCT
aiti-14192	136	27	)	)	PUNCT
aiti-14192	136	28	represents	represent	VERB
aiti-14192	136	29	a	a	DET
aiti-14192	136	30	non	non	ADJ
aiti-14192	136	31	-	-	ADJ
aiti-14192	136	32	linear	linear	ADJ
aiti-14192	136	33	function	function	NOUN
aiti-14192	136	34	determined	determine	VERB
aiti-14192	136	35	by	by	ADP
aiti-14192	136	36	the	the	DET
aiti-14192	136	37	neural	neural	ADJ
aiti-14192	136	38	network	network	NOUN
aiti-14192	136	39	(	(	PUNCT
aiti-14192	136	40	ann	ann	PROPN
aiti-14192	136	41	/	/	SYM
aiti-14192	136	42	ernn	ernn	PROPN
aiti-14192	136	43	)	)	PUNCT
aiti-14192	136	44	,	,	PUNCT
aiti-14192	136	45	�	�	PROPN
aiti-14192	136	46	�	�	PROPN
aiti-14192	136	47	∗	∗	NOUN
aiti-14192	136	48	is	be	AUX
aiti-14192	136	49	the	the	DET
aiti-14192	136	50	residual	residual	ADJ
aiti-14192	136	51	.	.	PUNCT
aiti-14192	137	1	3.5	3.5	NUM
aiti-14192	137	2	.	.	PUNCT
aiti-14192	138	1	auto	auto	NOUN
aiti-14192	138	2	regressive	regressive	ADJ
aiti-14192	138	3	integrated	integrated	ADJ
aiti-14192	138	4	moving	move	VERB
aiti-14192	138	5	average	average	NOUN
aiti-14192	138	6	with	with	ADP
aiti-14192	138	7	exogenous	exogenous	ADJ
aiti-14192	138	8	variables	variable	NOUN
aiti-14192	138	9	the	the	DET
aiti-14192	138	10	arimax	arimax	PROPN
aiti-14192	138	11	model	model	NOUN
aiti-14192	138	12	,	,	PUNCT
aiti-14192	138	13	with	with	ADP
aiti-14192	138	14	an	an	DET
aiti-14192	138	15	exogenous	exogenous	ADJ
aiti-14192	138	16	variable	variable	NOUN
aiti-14192	138	17	as	as	ADP
aiti-14192	138	18	an	an	DET
aiti-14192	138	19	additional	additional	ADJ
aiti-14192	138	20	predictor	predictor	NOUN
aiti-14192	138	21	,	,	PUNCT
aiti-14192	138	22	can	can	AUX
aiti-14192	138	23	be	be	AUX
aiti-14192	138	24	used	use	VERB
aiti-14192	138	25	to	to	PART
aiti-14192	138	26	predict	predict	VERB
aiti-14192	138	27	the	the	DET
aiti-14192	138	28	demand	demand	NOUN
aiti-14192	138	29	for	for	ADP
aiti-14192	138	30	a	a	DET
aiti-14192	138	31	product	product	NOUN
aiti-14192	138	32	based	base	VERB
aiti-14192	138	33	on	on	ADP
aiti-14192	138	34	its	its	PRON
aiti-14192	138	35	demand	demand	NOUN
aiti-14192	138	36	and	and	CCONJ
aiti-14192	138	37	some	some	DET
aiti-14192	138	38	external	external	ADJ
aiti-14192	138	39	factors	factor	NOUN
aiti-14192	138	40	such	such	ADJ
aiti-14192	138	41	as	as	ADP
aiti-14192	138	42	advertising	advertising	NOUN
aiti-14192	138	43	or	or	CCONJ
aiti-14192	138	44	competitors	competitor	NOUN
aiti-14192	138	45	’	’	PART
aiti-14192	138	46	prices	price	NOUN
aiti-14192	138	47	[	[	X
aiti-14192	138	48	20	20	NUM
aiti-14192	138	49	]	]	PUNCT
aiti-14192	138	50	.	.	PUNCT
aiti-14192	139	1	the	the	DET
aiti-14192	139	2	arimax	arimax	PROPN
aiti-14192	139	3	model	model	NOUN
aiti-14192	139	4	can	can	AUX
aiti-14192	139	5	be	be	AUX
aiti-14192	139	6	expressed	express	VERB
aiti-14192	139	7	as	as	SCONJ
aiti-14192	139	8	follows	follow	VERB
aiti-14192	139	9	:	:	PUNCT
aiti-14192	139	10	1	1	NUM
aiti-14192	139	11	1	1	NUM
aiti-14192	139	12	φ	φ	NUM
aiti-14192	139	13	θ	θ	PROPN
aiti-14192	139	14	ε	ε	PROPN
aiti-14192	139	15	ϕ	ϕ	NOUN
aiti-14192	139	16	ε−	ε−	PROPN
aiti-14192	139	17	−	−	NOUN
aiti-14192	140	1	=	=	SYM
aiti-14192	140	2	=	=	NOUN
aiti-14192	140	3	∇	∇	X
aiti-14192	140	4	=	=	SYM
aiti-14192	140	5	+	+	NUM
aiti-14192	140	6	∇	∇	X
aiti-14192	140	7	+	+	X
aiti-14192	140	8	+	+	CCONJ
aiti-14192	140	9	+	+	X
aiti-14192	140	10			X
aiti-14192	140	11			X
aiti-14192	141	1	p	p	X
aiti-14192	141	2	q	q	PROPN
aiti-14192	142	1	d	d	X
aiti-14192	142	2	d	d	NOUN
aiti-14192	142	3	t	t	PROPN
aiti-14192	142	4	t	t	NOUN
aiti-14192	143	1	i	i	PRON
aiti-14192	143	2	t	t	VERB
aiti-14192	144	1	i	i	PRON
aiti-14192	145	1	j	j	PROPN
aiti-14192	146	1	t	t	PROPN
aiti-14192	146	2	j	j	PROPN
aiti-14192	146	3	t	t	PROPN
aiti-14192	146	4	t	t	PROPN
aiti-14192	147	1	i	i	PRON
aiti-14192	147	2	j	j	PROPN
aiti-14192	148	1	l	l	NOUN
aiti-14192	148	2	c	c	NOUN
aiti-14192	148	3	l	l	NOUN
aiti-14192	148	4	x	x	X
aiti-14192	148	5	(	(	PUNCT
aiti-14192	148	6	7	7	NUM
aiti-14192	148	7	)	)	PUNCT
aiti-14192	148	8	where	where	SCONJ
aiti-14192	148	9	∇	∇	X
aiti-14192	148	10	�	�	PROPN
aiti-14192	148	11	is	be	AUX
aiti-14192	148	12	the	the	DET
aiti-14192	148	13	degree	degree	NOUN
aiti-14192	148	14	of	of	ADP
aiti-14192	148	15	differencing	differencing	NOUN
aiti-14192	148	16	,	,	PUNCT
aiti-14192	148	17	�	�	PROPN
aiti-14192	148	18	�	�	PROPN
aiti-14192	148	19	is	be	AUX
aiti-14192	148	20	the	the	DET
aiti-14192	148	21	time	time	NOUN
aiti-14192	148	22	series	series	PROPN
aiti-14192	148	23	data	datum	NOUN
aiti-14192	148	24	at	at	ADP
aiti-14192	148	25	time	time	NOUN
aiti-14192	148	26	t	t	PROPN
aiti-14192	148	27	,	,	PUNCT
aiti-14192	148	28	�	�	PROPN
aiti-14192	148	29	�	�	PROPN
aiti-14192	148	30	is	be	AUX
aiti-14192	148	31	a	a	DET
aiti-14192	148	32	constant	constant	ADJ
aiti-14192	148	33	value	value	NOUN
aiti-14192	148	34	,	,	PUNCT
aiti-14192	148	35	�	�	PROPN
aiti-14192	148	36	�	�	PROPN
aiti-14192	148	37	is	be	AUX
aiti-14192	148	38	a	a	DET
aiti-14192	148	39	residual	residual	ADJ
aiti-14192	148	40	,	,	PUNCT
aiti-14192	148	41	�	�	PROPN
aiti-14192	148	42	�	�	PROPN
aiti-14192	148	43	�	�	PROPN
aiti-14192	148	44	�	�	PROPN
aiti-14192	148	45	is	be	AUX
aiti-14192	148	46	the	the	DET
aiti-14192	148	47	autoregressive	autoregressive	ADJ
aiti-14192	148	48	,	,	PUNCT
aiti-14192	148	49	�	�	PROPN
aiti-14192	148	50	�	�	PROPN
aiti-14192	148	51	�	�	PROPN
aiti-14192	148	52	�	�	PROPN
aiti-14192	148	53	is	be	AUX
aiti-14192	148	54	the	the	DET
aiti-14192	148	55	moving	move	VERB
aiti-14192	148	56	average	average	ADJ
aiti-14192	148	57	,	,	PUNCT
aiti-14192	148	58	�	�	PROPN
aiti-14192	148	59	is	be	AUX
aiti-14192	148	60	the	the	DET
aiti-14192	148	61	exogenous	exogenous	ADJ
aiti-14192	148	62	variable	variable	NOUN
aiti-14192	148	63	,	,	PUNCT
aiti-14192	148	64	�	�	PROPN
aiti-14192	148	65	�	�	PROPN
aiti-14192	148	66	,	,	PUNCT
aiti-14192	148	67	�	�	PROPN
aiti-14192	148	68	�	�	PROPN
aiti-14192	148	69	,	,	PUNCT
aiti-14192	148	70	and	and	CCONJ
aiti-14192	148	71	�	�	PROPN
aiti-14192	148	72	are	be	AUX
aiti-14192	148	73	the	the	DET
aiti-14192	148	74	coefficients	coefficient	NOUN
aiti-14192	148	75	of	of	ADP
aiti-14192	148	76	�	�	PROPN
aiti-14192	148	77	�	�	PROPN
aiti-14192	148	78	�	�	PROPN
aiti-14192	148	79	�	�	PROPN
aiti-14192	148	80	,	,	PUNCT
aiti-14192	148	81	�	�	PROPN
aiti-14192	148	82	�	�	PROPN
aiti-14192	148	83	�	�	PROPN
aiti-14192	148	84	�	�	PROPN
aiti-14192	148	85	,	,	PUNCT
aiti-14192	148	86	and	and	CCONJ
aiti-14192	148	87	�	�	PROPN
aiti-14192	148	88	,	,	PUNCT
aiti-14192	148	89	respectively	respectively	ADV
aiti-14192	148	90	.	.	PUNCT
aiti-14192	149	1	3.6	3.6	NUM
aiti-14192	149	2	.	.	PUNCT
aiti-14192	150	1	artificial	artificial	ADJ
aiti-14192	150	2	neural	neural	ADJ
aiti-14192	150	3	network	network	NOUN
aiti-14192	150	4	(	(	PUNCT
aiti-14192	150	5	ann	ann	PROPN
aiti-14192	150	6	)	)	PUNCT
aiti-14192	150	7	fig	fig	NOUN
aiti-14192	150	8	.	.	PUNCT
aiti-14192	151	1	1	1	NUM
aiti-14192	151	2	structure	structure	NOUN
aiti-14192	151	3	of	of	ADP
aiti-14192	151	4	an	an	DET
aiti-14192	151	5	ann	ann	PROPN
aiti-14192	151	6	model	model	NOUN
aiti-14192	151	7	(	(	PUNCT
aiti-14192	151	8	modified	modify	VERB
aiti-14192	151	9	from	from	ADP
aiti-14192	151	10	[	[	X
aiti-14192	151	11	22	22	NUM
aiti-14192	151	12	]	]	PUNCT
aiti-14192	151	13	)	)	PUNCT
aiti-14192	151	14	in	in	ADP
aiti-14192	151	15	recent	recent	ADJ
aiti-14192	151	16	years	year	NOUN
aiti-14192	151	17	,	,	PUNCT
aiti-14192	151	18	neural	neural	ADJ
aiti-14192	151	19	networks	network	NOUN
aiti-14192	151	20	have	have	AUX
aiti-14192	151	21	gained	gain	VERB
aiti-14192	151	22	significant	significant	ADJ
aiti-14192	151	23	attention	attention	NOUN
aiti-14192	151	24	and	and	CCONJ
aiti-14192	151	25	are	be	AUX
aiti-14192	151	26	being	be	AUX
aiti-14192	151	27	effectively	effectively	ADV
aiti-14192	151	28	applied	apply	VERB
aiti-14192	151	29	in	in	ADP
aiti-14192	151	30	a	a	DET
aiti-14192	151	31	wide	wide	ADJ
aiti-14192	151	32	variety	variety	NOUN
aiti-14192	151	33	of	of	ADP
aiti-14192	151	34	fields	field	NOUN
aiti-14192	151	35	.	.	PUNCT
aiti-14192	152	1	neural	neural	ADJ
aiti-14192	152	2	networks	network	NOUN
aiti-14192	152	3	are	be	AUX
aiti-14192	152	4	increasingly	increasingly	ADV
aiti-14192	152	5	used	use	VERB
aiti-14192	152	6	in	in	ADP
aiti-14192	152	7	areas	area	NOUN
aiti-14192	152	8	involving	involve	VERB
aiti-14192	152	9	prediction	prediction	NOUN
aiti-14192	152	10	,	,	PUNCT
aiti-14192	152	11	classification	classification	NOUN
aiti-14192	152	12	,	,	PUNCT
aiti-14192	152	13	or	or	CCONJ
aiti-14192	152	14	control	control	NOUN
aiti-14192	152	15	tasks	task	NOUN
aiti-14192	152	16	.	.	PUNCT
aiti-14192	153	1	in	in	ADP
aiti-14192	153	2	addition	addition	NOUN
aiti-14192	153	3	,	,	PUNCT
aiti-14192	153	4	neural	neural	ADJ
aiti-14192	153	5	networks	network	NOUN
aiti-14192	153	6	can	can	AUX
aiti-14192	153	7	be	be	AUX
aiti-14192	153	8	defined	define	VERB
aiti-14192	153	9	as	as	ADP
aiti-14192	153	10	a	a	DET
aiti-14192	153	11	network	network	NOUN
aiti-14192	153	12	of	of	ADP
aiti-14192	153	13	interconnected	interconnected	ADJ
aiti-14192	153	14	simple	simple	ADJ
aiti-14192	153	15	processing	processing	NOUN
aiti-14192	153	16	units	unit	NOUN
aiti-14192	153	17	,	,	PUNCT
aiti-14192	153	18	modeled	model	VERB
aiti-14192	153	19	after	after	ADP
aiti-14192	153	20	the	the	DET
aiti-14192	153	21	biological	biological	ADJ
aiti-14192	153	22	neuron	neuron	NOUN
aiti-14192	153	23	.	.	PUNCT
aiti-14192	154	1	a	a	DET
aiti-14192	154	2	90	90	NUM
aiti-14192	154	3	advances	advance	NOUN
aiti-14192	154	4	in	in	ADP
aiti-14192	154	5	technology	technology	NOUN
aiti-14192	154	6	innovation	innovation	NOUN
aiti-14192	154	7	,	,	PUNCT
aiti-14192	154	8	vol	vol	NOUN
aiti-14192	154	9	.	.	PROPN
aiti-14192	154	10	10	10	NUM
aiti-14192	154	11	,	,	PUNCT
aiti-14192	154	12	no	no	INTJ
aiti-14192	154	13	.	.	NOUN
aiti-14192	154	14	2	2	NUM
aiti-14192	154	15	,	,	PUNCT
aiti-14192	154	16	2025	2025	NUM
aiti-14192	154	17	,	,	PUNCT
aiti-14192	154	18	pp	pp	ADJ
aiti-14192	154	19	.	.	PUNCT
aiti-14192	154	20	85	85	NUM
aiti-14192	154	21	-	-	SYM
aiti-14192	154	22	101	101	NUM
aiti-14192	154	23	biological	biological	ADJ
aiti-14192	154	24	neuron	neuron	NOUN
aiti-14192	154	25	is	be	AUX
aiti-14192	154	26	a	a	DET
aiti-14192	154	27	specialized	specialized	ADJ
aiti-14192	154	28	unit	unit	NOUN
aiti-14192	154	29	that	that	PRON
aiti-14192	154	30	carries	carry	VERB
aiti-14192	154	31	information	information	NOUN
aiti-14192	154	32	or	or	CCONJ
aiti-14192	154	33	knowledge	knowledge	NOUN
aiti-14192	154	34	and	and	CCONJ
aiti-14192	154	35	transmits	transmit	VERB
aiti-14192	154	36	it	it	PRON
aiti-14192	154	37	to	to	ADP
aiti-14192	154	38	other	other	ADJ
aiti-14192	154	39	neurons	neuron	NOUN
aiti-14192	154	40	within	within	ADP
aiti-14192	154	41	the	the	DET
aiti-14192	154	42	network	network	NOUN
aiti-14192	154	43	.	.	PUNCT
aiti-14192	155	1	artificial	artificial	ADJ
aiti-14192	155	2	neurons	neuron	NOUN
aiti-14192	155	3	are	be	AUX
aiti-14192	155	4	organized	organize	VERB
aiti-14192	155	5	in	in	ADP
aiti-14192	155	6	layers	layer	NOUN
aiti-14192	155	7	and	and	CCONJ
aiti-14192	155	8	interconnected	interconnect	VERB
aiti-14192	155	9	,	,	PUNCT
aiti-14192	155	10	resembling	resemble	VERB
aiti-14192	155	11	synapses	synapsis	NOUN
aiti-14192	155	12	in	in	ADP
aiti-14192	155	13	the	the	DET
aiti-14192	155	14	brain	brain	NOUN
aiti-14192	155	15	.	.	PUNCT
aiti-14192	156	1	the	the	DET
aiti-14192	156	2	internal	internal	ADJ
aiti-14192	156	3	layers	layer	NOUN
aiti-14192	156	4	,	,	PUNCT
aiti-14192	156	5	called	call	VERB
aiti-14192	156	6	hidden	hidden	ADJ
aiti-14192	156	7	layers	layer	NOUN
aiti-14192	156	8	,	,	PUNCT
aiti-14192	156	9	consist	consist	VERB
aiti-14192	156	10	of	of	ADP
aiti-14192	156	11	varying	vary	VERB
aiti-14192	156	12	numbers	number	NOUN
aiti-14192	156	13	of	of	ADP
aiti-14192	156	14	neurons	neuron	NOUN
aiti-14192	156	15	.	.	PUNCT
aiti-14192	157	1	the	the	DET
aiti-14192	157	2	final	final	ADJ
aiti-14192	157	3	layer	layer	NOUN
aiti-14192	157	4	,	,	PUNCT
aiti-14192	157	5	known	know	VERB
aiti-14192	157	6	as	as	ADP
aiti-14192	157	7	the	the	DET
aiti-14192	157	8	output	output	NOUN
aiti-14192	157	9	layer	layer	NOUN
aiti-14192	157	10	,	,	PUNCT
aiti-14192	157	11	has	have	VERB
aiti-14192	157	12	several	several	ADJ
aiti-14192	157	13	neurons	neuron	NOUN
aiti-14192	157	14	that	that	PRON
aiti-14192	157	15	match	match	VERB
aiti-14192	157	16	the	the	DET
aiti-14192	157	17	number	number	NOUN
aiti-14192	157	18	of	of	ADP
aiti-14192	157	19	outputs	output	NOUN
aiti-14192	157	20	.	.	PUNCT
aiti-14192	158	1	expanding	expand	VERB
aiti-14192	158	2	the	the	DET
aiti-14192	158	3	number	number	NOUN
aiti-14192	158	4	of	of	ADP
aiti-14192	158	5	neurons	neuron	NOUN
aiti-14192	158	6	and	and	CCONJ
aiti-14192	158	7	layers	layer	NOUN
aiti-14192	158	8	improves	improve	VERB
aiti-14192	158	9	the	the	DET
aiti-14192	158	10	learning	learning	NOUN
aiti-14192	158	11	ability	ability	NOUN
aiti-14192	158	12	of	of	ADP
aiti-14192	158	13	ann	ann	PROPN
aiti-14192	158	14	,	,	PUNCT
aiti-14192	158	15	enabling	enable	VERB
aiti-14192	158	16	them	they	PRON
aiti-14192	158	17	to	to	PART
aiti-14192	158	18	handle	handle	VERB
aiti-14192	158	19	more	more	ADJ
aiti-14192	158	20	complex	complex	ADJ
aiti-14192	158	21	data	datum	NOUN
aiti-14192	158	22	[	[	X
aiti-14192	158	23	21	21	NUM
aiti-14192	158	24	]	]	PUNCT
aiti-14192	158	25	.	.	PUNCT
aiti-14192	159	1	a	a	DET
aiti-14192	159	2	single	single	ADJ
aiti-14192	159	3	hidden	hide	VERB
aiti-14192	159	4	layer	layer	NOUN
aiti-14192	159	5	feedforward	feedforward	NOUN
aiti-14192	159	6	network	network	NOUN
aiti-14192	159	7	is	be	AUX
aiti-14192	159	8	the	the	DET
aiti-14192	159	9	most	most	ADV
aiti-14192	159	10	widely	widely	ADV
aiti-14192	159	11	used	use	VERB
aiti-14192	159	12	model	model	NOUN
aiti-14192	159	13	form	form	NOUN
aiti-14192	159	14	for	for	ADP
aiti-14192	159	15	time	time	NOUN
aiti-14192	159	16	series	series	PROPN
aiti-14192	159	17	modeling	modeling	NOUN
aiti-14192	159	18	and	and	CCONJ
aiti-14192	159	19	forecasting	forecasting	NOUN
aiti-14192	159	20	.	.	PUNCT
aiti-14192	160	1	the	the	DET
aiti-14192	160	2	model	model	NOUN
aiti-14192	160	3	is	be	AUX
aiti-14192	160	4	characterized	characterize	VERB
aiti-14192	160	5	by	by	ADP
aiti-14192	160	6	a	a	DET
aiti-14192	160	7	network	network	NOUN
aiti-14192	160	8	of	of	ADP
aiti-14192	160	9	three	three	NUM
aiti-14192	160	10	layers	layer	NOUN
aiti-14192	160	11	of	of	ADP
aiti-14192	160	12	simple	simple	ADJ
aiti-14192	160	13	processing	processing	NOUN
aiti-14192	160	14	units	unit	NOUN
aiti-14192	160	15	connected	connect	VERB
aiti-14192	160	16	by	by	ADP
aiti-14192	160	17	acyclic	acyclic	ADJ
aiti-14192	160	18	links	link	NOUN
aiti-14192	160	19	[	[	X
aiti-14192	160	20	22	22	NUM
aiti-14192	160	21	]	]	PUNCT
aiti-14192	160	22	.	.	PUNCT
aiti-14192	161	1	fig	fig	NOUN
aiti-14192	161	2	.	.	PUNCT
aiti-14192	162	1	1	1	NUM
aiti-14192	162	2	shows	show	VERB
aiti-14192	162	3	the	the	DET
aiti-14192	162	4	structure	structure	NOUN
aiti-14192	162	5	of	of	ADP
aiti-14192	162	6	an	an	DET
aiti-14192	162	7	ann	ann	PROPN
aiti-14192	162	8	model	model	NOUN
aiti-14192	162	9	.	.	PUNCT
aiti-14192	163	1	the	the	DET
aiti-14192	163	2	relationship	relationship	NOUN
aiti-14192	163	3	between	between	ADP
aiti-14192	163	4	the	the	DET
aiti-14192	163	5	output	output	NOUN
aiti-14192	163	6	,	,	PUNCT
aiti-14192	163	7	�	�	PROPN
aiti-14192	163	8	�	�	PROPN
aiti-14192	163	9	,	,	PUNCT
aiti-14192	163	10	and	and	CCONJ
aiti-14192	163	11	the	the	DET
aiti-14192	163	12	inputs	input	NOUN
aiti-14192	163	13	,	,	PUNCT
aiti-14192	163	14	�	�	PROPN
aiti-14192	163	15	�	�	PROPN
aiti-14192	163	16	�	�	PROPN
aiti-14192	163	17	�	�	PROPN
aiti-14192	163	18	,	,	PUNCT
aiti-14192	163	19	�	�	PROPN
aiti-14192	163	20	�	�	PROPN
aiti-14192	163	21	�	�	PROPN
aiti-14192	163	22	�	�	PROPN
aiti-14192	163	23	,	,	PUNCT
aiti-14192	163	24	⋯	⋯	PROPN
aiti-14192	163	25	,	,	PUNCT
aiti-14192	163	26	�	�	PROPN
aiti-14192	163	27	�	�	PROPN
aiti-14192	163	28	�	�	PROPN
aiti-14192	163	29	!	!	PUNCT
aiti-14192	163	30	can	can	AUX
aiti-14192	163	31	be	be	AUX
aiti-14192	163	32	mathematical	mathematical	ADJ
aiti-14192	163	33	represented	represent	VERB
aiti-14192	163	34	as	as	ADP
aiti-14192	163	35	:	:	PUNCT
aiti-14192	163	36	0	0	NUM
aiti-14192	163	37	0	0	NUM
aiti-14192	163	38	1	1	NUM
aiti-14192	163	39	1	1	NUM
aiti-14192	163	40	α	α	NOUN
aiti-14192	163	41	α	α	NOUN
aiti-14192	163	42	β	β	X
aiti-14192	163	43	β	β	X
aiti-14192	163	44	ε−	ε−	PROPN
aiti-14192	163	45	=	=	PUNCT
aiti-14192	163	46	=	=	PUNCT
aiti-14192	163	47			NOUN
aiti-14192	163	48			NOUN
aiti-14192	164	1	=	=	PUNCT
aiti-14192	165	1	+	+	PUNCT
aiti-14192	165	2	+	+	CCONJ
aiti-14192	165	3	+	+	ADJ
aiti-14192	165	4			ADJ
aiti-14192	165	5			CCONJ
aiti-14192	165	6			PROPN
aiti-14192	165	7			NOUN
aiti-14192	165	8			X
aiti-14192	165	9	h	h	VERB
aiti-14192	165	10	q	q	PROPN
aiti-14192	165	11	p	p	PROPN
aiti-14192	165	12	t	t	PROPN
aiti-14192	165	13	j	j	PROPN
aiti-14192	166	1	j	j	PROPN
aiti-14192	166	2	ij	ij	INTJ
aiti-14192	166	3	t	t	NOUN
aiti-14192	167	1	i	i	PRON
aiti-14192	167	2	t	t	PROPN
aiti-14192	167	3	j	j	PROPN
aiti-14192	168	1	i	i	PRON
aiti-14192	168	2	n	n	VERB
aiti-14192	168	3	g	g	PROPN
aiti-14192	168	4	n	n	PROPN
aiti-14192	168	5	(	(	PUNCT
aiti-14192	168	6	8)	8)	NUM
aiti-14192	168	7	where	where	SCONJ
aiti-14192	168	8	�	�	NOUN
aiti-14192	168	9	�	�	PROPN
aiti-14192	168	10	indicates	indicate	VERB
aiti-14192	168	11	the	the	DET
aiti-14192	168	12	predicted	predict	VERB
aiti-14192	168	13	output	output	NOUN
aiti-14192	168	14	of	of	ADP
aiti-14192	168	15	the	the	DET
aiti-14192	168	16	network	network	NOUN
aiti-14192	168	17	at	at	ADP
aiti-14192	168	18	time	time	NOUN
aiti-14192	168	19	t	t	PROPN
aiti-14192	168	20	,	,	PUNCT
aiti-14192	168	21	"	"	PUNCT
aiti-14192	168	22	#	#	NOUN
aiti-14192	168	23	symbolizes	symbolize	VERB
aiti-14192	168	24	the	the	DET
aiti-14192	168	25	bias	bias	NOUN
aiti-14192	168	26	term	term	NOUN
aiti-14192	168	27	for	for	ADP
aiti-14192	168	28	the	the	DET
aiti-14192	168	29	output	output	NOUN
aiti-14192	168	30	layer	layer	NOUN
aiti-14192	168	31	,	,	PUNCT
aiti-14192	168	32	"	"	PUNCT
aiti-14192	168	33	�	�	PROPN
aiti-14192	168	34	signifies	signify	VERB
aiti-14192	168	35	the	the	DET
aiti-14192	168	36	weights	weight	NOUN
aiti-14192	168	37	connecting	connect	VERB
aiti-14192	168	38	the	the	DET
aiti-14192	168	39	hidden	hidden	ADJ
aiti-14192	168	40	layer	layer	NOUN
aiti-14192	168	41	to	to	ADP
aiti-14192	168	42	the	the	DET
aiti-14192	168	43	output	output	NOUN
aiti-14192	168	44	layer	layer	NOUN
aiti-14192	168	45	where	where	SCONJ
aiti-14192	168	46	j	j	PROPN
aiti-14192	168	47	=	=	SYM
aiti-14192	168	48	1	1	NUM
aiti-14192	168	49	,	,	PUNCT
aiti-14192	168	50	2	2	NUM
aiti-14192	168	51	,	,	PUNCT
aiti-14192	168	52	⋯	⋯	NOUN
aiti-14192	168	53	,	,	PUNCT
aiti-14192	168	54	q	q	NOUN
aiti-14192	168	55	,	,	PUNCT
aiti-14192	168	56	in	in	ADP
aiti-14192	168	57	this	this	DET
aiti-14192	168	58	case	case	NOUN
aiti-14192	168	59	,	,	PUNCT
aiti-14192	168	60	the	the	DET
aiti-14192	168	61	logistic	logistic	ADJ
aiti-14192	168	62	function	function	NOUN
aiti-14192	168	63	,	,	PUNCT
aiti-14192	168	64	$	$	SYM
aiti-14192	168	65	#	#	NUM
aiti-14192	168	66	�	�	NOUN
aiti-14192	168	67	are	be	AUX
aiti-14192	168	68	the	the	DET
aiti-14192	168	69	bias	bias	NOUN
aiti-14192	168	70	terms	term	NOUN
aiti-14192	168	71	for	for	ADP
aiti-14192	168	72	each	each	PRON
aiti-14192	168	73	of	of	ADP
aiti-14192	168	74	the	the	DET
aiti-14192	168	75	hidden	hide	VERB
aiti-14192	168	76	nodes	node	NOUN
aiti-14192	168	77	j	j	NOUN
aiti-14192	169	1	=	=	SYM
aiti-14192	169	2	1	1	NUM
aiti-14192	169	3	,	,	PUNCT
aiti-14192	169	4	2	2	NUM
aiti-14192	169	5	,	,	PUNCT
aiti-14192	169	6	⋯	⋯	NOUN
aiti-14192	169	7	,	,	PUNCT
aiti-14192	169	8	q	q	NOUN
aiti-14192	169	9	,	,	PUNCT
aiti-14192	169	10	$	$	SYM
aiti-14192	169	11	�	�	PROPN
aiti-14192	169	12	�	�	PROPN
aiti-14192	169	13	are	be	AUX
aiti-14192	169	14	the	the	DET
aiti-14192	169	15	weights	weight	NOUN
aiti-14192	169	16	connecting	connect	VERB
aiti-14192	169	17	the	the	DET
aiti-14192	169	18	input	input	NOUN
aiti-14192	169	19	layer	layer	NOUN
aiti-14192	169	20	to	to	ADP
aiti-14192	169	21	the	the	DET
aiti-14192	169	22	hidden	hide	VERB
aiti-14192	169	23	layer	layer	NOUN
aiti-14192	169	24	where	where	SCONJ
aiti-14192	169	25	i	i	PRON
aiti-14192	169	26	=	=	NOUN
aiti-14192	169	27	1	1	NUM
aiti-14192	169	28	,	,	PUNCT
aiti-14192	169	29	2	2	NUM
aiti-14192	169	30	,	,	PUNCT
aiti-14192	169	31	⋯	⋯	NOUN
aiti-14192	169	32	,	,	PUNCT
aiti-14192	169	33	p	p	X
aiti-14192	169	34	;	;	PUNCT
aiti-14192	169	35	j	j	PROPN
aiti-14192	169	36	=	=	SYM
aiti-14192	169	37	1	1	NUM
aiti-14192	169	38	,	,	PUNCT
aiti-14192	169	39	2	2	NUM
aiti-14192	169	40	,	,	PUNCT
aiti-14192	169	41	⋯	⋯	NOUN
aiti-14192	169	42	,	,	PUNCT
aiti-14192	169	43	q	q	NOUN
aiti-14192	169	44	,	,	PUNCT
aiti-14192	169	45	�	�	PROPN
aiti-14192	169	46	�	�	PROPN
aiti-14192	169	47	�	�	PROPN
aiti-14192	169	48	�	�	PROPN
aiti-14192	169	49	are	be	AUX
aiti-14192	169	50	the	the	DET
aiti-14192	169	51	input	input	NOUN
aiti-14192	169	52	values	value	NOUN
aiti-14192	169	53	at	at	ADP
aiti-14192	169	54	previous	previous	ADJ
aiti-14192	169	55	time	time	NOUN
aiti-14192	169	56	steps	step	NOUN
aiti-14192	169	57	(	(	PUNCT
aiti-14192	169	58	lags	lag	VERB
aiti-14192	169	59	in	in	ADP
aiti-14192	169	60	time	time	NOUN
aiti-14192	169	61	series	series	PROPN
aiti-14192	169	62	terms	term	NOUN
aiti-14192	169	63	)	)	PUNCT
aiti-14192	170	1	i	i	NOUN
aiti-14192	170	2	=	=	NOUN
aiti-14192	170	3	1	1	NUM
aiti-14192	170	4	,	,	PUNCT
aiti-14192	170	5	2	2	NUM
aiti-14192	170	6	,	,	PUNCT
aiti-14192	170	7	⋯	⋯	NOUN
aiti-14192	170	8	,	,	PUNCT
aiti-14192	170	9	p	p	X
aiti-14192	170	10	,	,	PUNCT
aiti-14192	170	11	�	�	PROPN
aiti-14192	170	12	�	�	PROPN
aiti-14192	170	13	is	be	AUX
aiti-14192	170	14	the	the	DET
aiti-14192	170	15	error	error	NOUN
aiti-14192	170	16	term	term	NOUN
aiti-14192	170	17	for	for	ADP
aiti-14192	170	18	the	the	DET
aiti-14192	170	19	prediction	prediction	NOUN
aiti-14192	170	20	at	at	ADP
aiti-14192	170	21	time	time	NOUN
aiti-14192	170	22	t.	t.	PROPN
aiti-14192	170	23	when	when	SCONJ
aiti-14192	170	24	%	%	PROPN
aiti-14192	170	25	&	&	CCONJ
aiti-14192	170	26	is	be	AUX
aiti-14192	170	27	the	the	DET
aiti-14192	170	28	linear	linear	ADJ
aiti-14192	170	29	function	function	NOUN
aiti-14192	170	30	in	in	ADP
aiti-14192	170	31	the	the	DET
aiti-14192	170	32	hidden	hide	VERB
aiti-14192	170	33	layer	layer	NOUN
aiti-14192	170	34	which	which	PRON
aiti-14192	170	35	is	be	AUX
aiti-14192	170	36	selected	select	VERB
aiti-14192	170	37	as	as	ADP
aiti-14192	170	38	the	the	DET
aiti-14192	170	39	activation	activation	NOUN
aiti-14192	170	40	function	function	NOUN
aiti-14192	170	41	defined	define	VERB
aiti-14192	170	42	by	by	ADP
aiti-14192	170	43	:	:	PUNCT
aiti-14192	170	44	(	(	PUNCT
aiti-14192	170	45	)	)	PUNCT
aiti-14192	170	46	=	=	SYM
aiti-14192	170	47	h	h	NOUN
aiti-14192	171	1	g	g	PROPN
aiti-14192	171	2	v	v	NUM
aiti-14192	171	3	v	v	NOUN
aiti-14192	171	4	(	(	PUNCT
aiti-14192	171	5	9	9	NUM
aiti-14192	171	6	)	)	PUNCT
aiti-14192	171	7	where	where	SCONJ
aiti-14192	171	8	v	v	NOUN
aiti-14192	171	9	is	be	AUX
aiti-14192	171	10	the	the	DET
aiti-14192	171	11	input	input	NOUN
aiti-14192	171	12	value	value	NOUN
aiti-14192	171	13	.	.	PUNCT
aiti-14192	172	1	3.7	3.7	NUM
aiti-14192	172	2	.	.	PUNCT
aiti-14192	173	1	the	the	DET
aiti-14192	173	2	elman	elman	PROPN
aiti-14192	173	3	recurrent	recurrent	ADJ
aiti-14192	173	4	neural	neural	ADJ
aiti-14192	173	5	network	network	NOUN
aiti-14192	173	6	(	(	PUNCT
aiti-14192	173	7	ernn	ernn	PROPN
aiti-14192	173	8	)	)	PUNCT
aiti-14192	173	9	fig	fig	NOUN
aiti-14192	173	10	.	.	PUNCT
aiti-14192	174	1	2	2	NUM
aiti-14192	174	2	structure	structure	NOUN
aiti-14192	174	3	of	of	ADP
aiti-14192	174	4	an	an	DET
aiti-14192	174	5	ernn	ernn	NOUN
aiti-14192	174	6	model	model	NOUN
aiti-14192	174	7	(	(	PUNCT
aiti-14192	174	8	modified	modify	VERB
aiti-14192	174	9	from	from	ADP
aiti-14192	174	10	[	[	X
aiti-14192	174	11	2	2	NUM
aiti-14192	174	12	]	]	SYM
aiti-14192	174	13	)	)	PUNCT
aiti-14192	174	14	ernn	ernn	NOUN
aiti-14192	174	15	,	,	PUNCT
aiti-14192	174	16	also	also	ADV
aiti-14192	174	17	referred	refer	VERB
aiti-14192	174	18	to	to	ADP
aiti-14192	174	19	as	as	ADP
aiti-14192	174	20	a	a	DET
aiti-14192	174	21	simple	simple	ADJ
aiti-14192	174	22	recurrent	recurrent	ADJ
aiti-14192	174	23	network	network	NOUN
aiti-14192	174	24	,	,	PUNCT
aiti-14192	174	25	is	be	AUX
aiti-14192	174	26	a	a	DET
aiti-14192	174	27	form	form	NOUN
aiti-14192	174	28	of	of	ADP
aiti-14192	174	29	feedforward	feedforward	NOUN
aiti-14192	174	30	ann	ann	PROPN
aiti-14192	174	31	that	that	PRON
aiti-14192	174	32	incorporates	incorporate	VERB
aiti-14192	174	33	feedback	feedback	NOUN
aiti-14192	174	34	connections	connection	NOUN
aiti-14192	174	35	,	,	PUNCT
aiti-14192	174	36	enabling	enable	VERB
aiti-14192	174	37	it	it	PRON
aiti-14192	174	38	to	to	PART
aiti-14192	174	39	handle	handle	VERB
aiti-14192	174	40	sequential	sequential	ADJ
aiti-14192	174	41	data	datum	NOUN
aiti-14192	174	42	and	and	CCONJ
aiti-14192	174	43	time	time	NOUN
aiti-14192	174	44	series	series	NOUN
aiti-14192	174	45	[	[	X
aiti-14192	174	46	2	2	NUM
aiti-14192	174	47	]	]	PUNCT
aiti-14192	174	48	which	which	PRON
aiti-14192	174	49	are	be	AUX
aiti-14192	174	50	comprised	comprise	VERB
aiti-14192	174	51	of	of	ADP
aiti-14192	174	52	input	input	NOUN
aiti-14192	174	53	,	,	PUNCT
aiti-14192	174	54	hidden	hide	VERB
aiti-14192	174	55	,	,	PUNCT
aiti-14192	174	56	output	output	NOUN
aiti-14192	174	57	,	,	PUNCT
aiti-14192	174	58	and	and	CCONJ
aiti-14192	174	59	recurrent	recurrent	ADJ
aiti-14192	174	60	layers	layer	NOUN
aiti-14192	174	61	[	[	X
aiti-14192	174	62	23	23	NUM
aiti-14192	174	63	-	-	SYM
aiti-14192	174	64	24	24	NUM
aiti-14192	174	65	]	]	PUNCT
aiti-14192	174	66	.	.	PUNCT
aiti-14192	175	1	in	in	ADP
aiti-14192	175	2	the	the	DET
aiti-14192	175	3	ernn	ernn	NOUN
aiti-14192	175	4	,	,	PUNCT
aiti-14192	175	5	the	the	DET
aiti-14192	175	6	recurrent	recurrent	ADJ
aiti-14192	175	7	layer	layer	NOUN
aiti-14192	175	8	receives	receive	VERB
aiti-14192	175	9	feedback	feedback	NOUN
aiti-14192	175	10	from	from	ADP
aiti-14192	175	11	outputs	output	NOUN
aiti-14192	175	12	of	of	ADP
aiti-14192	175	13	the	the	DET
aiti-14192	175	14	hidden	hide	VERB
aiti-14192	175	15	layer	layer	NOUN
aiti-14192	175	16	,	,	PUNCT
aiti-14192	175	17	empowering	empower	VERB
aiti-14192	175	18	the	the	DET
aiti-14192	175	19	network	network	NOUN
aiti-14192	175	20	to	to	PART
aiti-14192	175	21	learn	learn	VERB
aiti-14192	175	22	,	,	PUNCT
aiti-14192	175	23	identify	identify	VERB
aiti-14192	175	24	,	,	PUNCT
aiti-14192	175	25	and	and	CCONJ
aiti-14192	175	26	generate	generate	VERB
aiti-14192	175	27	both	both	CCONJ
aiti-14192	175	28	spatial	spatial	ADJ
aiti-14192	175	29	and	and	CCONJ
aiti-14192	175	30	temporal	temporal	ADJ
aiti-14192	175	31	patterns	pattern	NOUN
aiti-14192	175	32	.	.	PUNCT
aiti-14192	176	1	each	each	DET
aiti-14192	176	2	neuron	neuron	NOUN
aiti-14192	176	3	in	in	ADP
aiti-14192	176	4	the	the	DET
aiti-14192	176	5	hidden	hide	VERB
aiti-14192	176	6	layer	layer	NOUN
aiti-14192	176	7	connects	connect	VERB
aiti-14192	176	8	to	to	ADP
aiti-14192	176	9	a	a	DET
aiti-14192	176	10	advances	advance	NOUN
aiti-14192	176	11	in	in	ADP
aiti-14192	176	12	technology	technology	NOUN
aiti-14192	176	13	innovation	innovation	NOUN
aiti-14192	176	14	,	,	PUNCT
aiti-14192	176	15	vol	vol	NOUN
aiti-14192	176	16	.	.	PROPN
aiti-14192	177	1	10	10	NUM
aiti-14192	177	2	,	,	PUNCT
aiti-14192	177	3	no	no	INTJ
aiti-14192	177	4	.	.	NOUN
aiti-14192	177	5	2	2	NUM
aiti-14192	177	6	,	,	PUNCT
aiti-14192	177	7	2025	2025	NUM
aiti-14192	177	8	,	,	PUNCT
aiti-14192	177	9	pp	pp	ADJ
aiti-14192	177	10	.	.	PUNCT
aiti-14192	177	11	85	85	NUM
aiti-14192	177	12	-	-	SYM
aiti-14192	177	13	101	101	NUM
aiti-14192	177	14	91	91	NUM
aiti-14192	177	15	corresponding	correspond	VERB
aiti-14192	177	16	neuron	neuron	NOUN
aiti-14192	177	17	in	in	ADP
aiti-14192	177	18	the	the	DET
aiti-14192	177	19	recurrent	recurrent	ADJ
aiti-14192	177	20	layer	layer	NOUN
aiti-14192	177	21	with	with	ADP
aiti-14192	177	22	a	a	DET
aiti-14192	177	23	fixed	fix	VERB
aiti-14192	177	24	weight	weight	NOUN
aiti-14192	177	25	of	of	ADP
aiti-14192	177	26	one	one	NUM
aiti-14192	177	27	.	.	PUNCT
aiti-14192	178	1	this	this	DET
aiti-14192	178	2	structure	structure	NOUN
aiti-14192	178	3	makes	make	VERB
aiti-14192	178	4	the	the	DET
aiti-14192	178	5	recurrent	recurrent	ADJ
aiti-14192	178	6	layer	layer	NOUN
aiti-14192	178	7	function	function	NOUN
aiti-14192	178	8	as	as	ADP
aiti-14192	178	9	a	a	DET
aiti-14192	178	10	memory	memory	NOUN
aiti-14192	178	11	of	of	ADP
aiti-14192	178	12	the	the	DET
aiti-14192	178	13	hidden	hide	VERB
aiti-14192	178	14	layer	layer	NOUN
aiti-14192	178	15	’s	’s	PART
aiti-14192	178	16	previous	previous	ADJ
aiti-14192	178	17	state	state	NOUN
aiti-14192	178	18	.	.	PUNCT
aiti-14192	179	1	the	the	DET
aiti-14192	179	2	number	number	NOUN
aiti-14192	179	3	of	of	ADP
aiti-14192	179	4	neurons	neuron	NOUN
aiti-14192	179	5	in	in	ADP
aiti-14192	179	6	the	the	DET
aiti-14192	179	7	recurrent	recurrent	ADJ
aiti-14192	179	8	layer	layer	NOUN
aiti-14192	179	9	matches	match	VERB
aiti-14192	179	10	that	that	PRON
aiti-14192	179	11	of	of	ADP
aiti-14192	179	12	the	the	DET
aiti-14192	179	13	hidden	hide	VERB
aiti-14192	179	14	layer	layer	NOUN
aiti-14192	179	15	.	.	PUNCT
aiti-14192	180	1	neurons	neuron	NOUN
aiti-14192	180	2	pass	pass	VERB
aiti-14192	180	3	information	information	NOUN
aiti-14192	180	4	to	to	ADP
aiti-14192	180	5	subsequent	subsequent	ADJ
aiti-14192	180	6	layers	layer	NOUN
aiti-14192	180	7	by	by	ADP
aiti-14192	180	8	applying	apply	VERB
aiti-14192	180	9	a	a	DET
aiti-14192	180	10	nonlinear	nonlinear	ADJ
aiti-14192	180	11	function	function	NOUN
aiti-14192	180	12	to	to	ADP
aiti-14192	180	13	the	the	DET
aiti-14192	180	14	weighted	weighted	ADJ
aiti-14192	180	15	sum	sum	NOUN
aiti-14192	180	16	of	of	ADP
aiti-14192	180	17	their	their	PRON
aiti-14192	180	18	inputs	input	NOUN
aiti-14192	180	19	.	.	PUNCT
aiti-14192	181	1	this	this	DET
aiti-14192	181	2	design	design	NOUN
aiti-14192	181	3	enables	enable	VERB
aiti-14192	181	4	the	the	DET
aiti-14192	181	5	ernn	ernn	NOUN
aiti-14192	181	6	to	to	PART
aiti-14192	181	7	effectively	effectively	ADV
aiti-14192	181	8	analyze	analyze	VERB
aiti-14192	181	9	and	and	CCONJ
aiti-14192	181	10	respond	respond	VERB
aiti-14192	181	11	to	to	ADP
aiti-14192	181	12	complex	complex	ADJ
aiti-14192	181	13	patterns	pattern	NOUN
aiti-14192	181	14	[	[	X
aiti-14192	181	15	23	23	NUM
aiti-14192	181	16	]	]	PUNCT
aiti-14192	181	17	.	.	PUNCT
aiti-14192	182	1	fig	fig	NOUN
aiti-14192	182	2	.	.	PUNCT
aiti-14192	183	1	2	2	NUM
aiti-14192	183	2	shows	show	VERB
aiti-14192	183	3	the	the	DET
aiti-14192	183	4	structure	structure	NOUN
aiti-14192	183	5	of	of	ADP
aiti-14192	183	6	an	an	DET
aiti-14192	183	7	ernn	ernn	PROPN
aiti-14192	183	8	model	model	NOUN
aiti-14192	183	9	.	.	PUNCT
aiti-14192	184	1	the	the	DET
aiti-14192	184	2	inputs	input	NOUN
aiti-14192	184	3	of	of	ADP
aiti-14192	184	4	the	the	DET
aiti-14192	184	5	hidden	hide	VERB
aiti-14192	184	6	layer	layer	NOUN
aiti-14192	184	7	are	be	AUX
aiti-14192	184	8	given	give	VERB
aiti-14192	184	9	by	by	ADP
aiti-14192	184	10	the	the	DET
aiti-14192	184	11	following	follow	VERB
aiti-14192	184	12	formula	formula	NOUN
aiti-14192	184	13	,	,	PUNCT
aiti-14192	184	14	(	(	PUNCT
aiti-14192	184	15	)	)	PUNCT
aiti-14192	184	16	(	(	PUNCT
aiti-14192	184	17	)	)	PUNCT
aiti-14192	184	18	(	(	PUNCT
aiti-14192	184	19	)	)	PUNCT
aiti-14192	184	20	1	1	NUM
aiti-14192	184	21	1	1	NUM
aiti-14192	184	22	1α	1α	NUM
aiti-14192	184	23	β	β	X
aiti-14192	184	24	=	=	SYM
aiti-14192	184	25	=	=	PUNCT
aiti-14192	184	26	=	=	PUNCT
aiti-14192	185	1	−	−	PROPN
aiti-14192	185	2	+	+	NOUN
aiti-14192	185	3			X
aiti-14192	185	4			X
aiti-14192	185	5	m	m	VERB
aiti-14192	185	6	u	u	NOUN
aiti-14192	185	7	it	it	PRON
aiti-14192	185	8	ij	ij	INTJ
aiti-14192	185	9	it	it	PRON
aiti-14192	186	1	j	j	PROPN
aiti-14192	187	1	jt	jt	PROPN
aiti-14192	187	2	i	i	PRON
aiti-14192	187	3	j	j	PROPN
aiti-14192	187	4	net	net	NOUN
aiti-14192	187	5	k	k	PROPN
aiti-14192	187	6	e	e	PROPN
aiti-14192	187	7	k	k	PROPN
aiti-14192	187	8	c	c	PROPN
aiti-14192	187	9	k	k	X
aiti-14192	187	10	(	(	PUNCT
aiti-14192	187	11	10	10	NUM
aiti-14192	187	12	)	)	PUNCT
aiti-14192	187	13	(	(	PUNCT
aiti-14192	187	14	)	)	PUNCT
aiti-14192	187	15	(	(	PUNCT
aiti-14192	187	16	)	)	PUNCT
aiti-14192	187	17	1	1	NUM
aiti-14192	187	18	,	,	PUNCT
aiti-14192	187	19	1,2	1,2	NUM
aiti-14192	187	20	,	,	PUNCT
aiti-14192	187	21	,	,	PUNCT
aiti-14192	187	22	;	;	PUNCT
aiti-14192	187	23	1,2	1,2	NUM
aiti-14192	187	24	,	,	PUNCT
aiti-14192	187	25	,	,	PUNCT
aiti-14192	187	26	=	=	PUNCT
aiti-14192	187	27	−	−	PROPN
aiti-14192	188	1	=	=	SYM
aiti-14192	188	2	=	=	NOUN
aiti-14192	188	3	⋯	⋯	PROPN
aiti-14192	188	4	⋯jt	⋯jt	NOUN
aiti-14192	189	1	jtc	jtc	PROPN
aiti-14192	189	2	k	k	PROPN
aiti-14192	189	3	h	h	PROPN
aiti-14192	190	1	k	k	PROPN
aiti-14192	191	1	i	i	PRON
aiti-14192	191	2	m	m	VERB
aiti-14192	191	3	j	j	NOUN
aiti-14192	191	4	u	u	NOUN
aiti-14192	191	5	(	(	PUNCT
aiti-14192	191	6	11	11	NUM
aiti-14192	191	7	)	)	PUNCT
aiti-14192	191	8	where	where	SCONJ
aiti-14192	191	9	'	'	PUNCT
aiti-14192	191	10	(	(	PUNCT
aiti-14192	191	11	)	)	PUNCT
aiti-14192	191	12	�	�	PROPN
aiti-14192	191	13	�	�	PROPN
aiti-14192	191	14	denote	denote	NOUN
aiti-14192	191	15	network	network	NOUN
aiti-14192	191	16	at	at	ADP
aiti-14192	191	17	time	time	NOUN
aiti-14192	191	18	t	t	PROPN
aiti-14192	191	19	,	,	PUNCT
aiti-14192	191	20	m	m	VERB
aiti-14192	191	21	is	be	AUX
aiti-14192	191	22	the	the	DET
aiti-14192	191	23	number	number	NOUN
aiti-14192	191	24	of	of	ADP
aiti-14192	191	25	neurons	neuron	NOUN
aiti-14192	191	26	in	in	ADP
aiti-14192	191	27	the	the	DET
aiti-14192	191	28	inputs	input	NOUN
aiti-14192	191	29	layer	layer	NOUN
aiti-14192	191	30	,	,	PUNCT
aiti-14192	191	31	u	u	NOUN
aiti-14192	191	32	is	be	AUX
aiti-14192	191	33	the	the	DET
aiti-14192	191	34	number	number	NOUN
aiti-14192	191	35	of	of	ADP
aiti-14192	191	36	neurons	neuron	NOUN
aiti-14192	191	37	in	in	ADP
aiti-14192	191	38	the	the	DET
aiti-14192	191	39	hidden	hide	VERB
aiti-14192	191	40	layer	layer	NOUN
aiti-14192	191	41	,	,	PUNCT
aiti-14192	191	42	(	(	PUNCT
aiti-14192	191	43	�	�	NOUN
aiti-14192	191	44	�	�	PROPN
aiti-14192	191	45	is	be	AUX
aiti-14192	191	46	the	the	DET
aiti-14192	191	47	set	set	NOUN
aiti-14192	191	48	of	of	ADP
aiti-14192	191	49	an	an	DET
aiti-14192	191	50	input	input	NOUN
aiti-14192	191	51	vector	vector	NOUN
aiti-14192	191	52	of	of	ADP
aiti-14192	191	53	neurons	neuron	NOUN
aiti-14192	191	54	at	at	ADP
aiti-14192	191	55	the	the	DET
aiti-14192	191	56	time	time	NOUN
aiti-14192	191	57	t	t	NOUN
aiti-14192	191	58	where	where	SCONJ
aiti-14192	191	59	i	i	PRON
aiti-14192	191	60	=	=	NOUN
aiti-14192	191	61	1	1	NUM
aiti-14192	191	62	,	,	PUNCT
aiti-14192	191	63	2	2	NUM
aiti-14192	191	64	,	,	PUNCT
aiti-14192	191	65	⋯	⋯	NOUN
aiti-14192	191	66	,	,	PUNCT
aiti-14192	191	67	m	m	PROPN
aiti-14192	191	68	,	,	PUNCT
aiti-14192	191	69	ℎ	ℎ	PROPN
aiti-14192	191	70	�	�	PROPN
aiti-14192	191	71	�	�	PROPN
aiti-14192	191	72	is	be	AUX
aiti-14192	191	73	the	the	DET
aiti-14192	191	74	output	output	NOUN
aiti-14192	191	75	of	of	ADP
aiti-14192	191	76	hidden	hide	VERB
aiti-14192	191	77	layer	layer	NOUN
aiti-14192	191	78	neurons	neuron	NOUN
aiti-14192	191	79	at	at	ADP
aiti-14192	191	80	time	time	NOUN
aiti-14192	191	81	t	t	PROPN
aiti-14192	191	82	where	where	SCONJ
aiti-14192	191	83	j	j	PROPN
aiti-14192	191	84	=	=	SYM
aiti-14192	191	85	1	1	NUM
aiti-14192	191	86	,	,	PUNCT
aiti-14192	191	87	2	2	NUM
aiti-14192	191	88	,	,	PUNCT
aiti-14192	191	89	⋯	⋯	NOUN
aiti-14192	191	90	,	,	PUNCT
aiti-14192	191	91	u	u	NOUN
aiti-14192	191	92	,	,	PUNCT
aiti-14192	191	93	+	+	ADJ
aiti-14192	191	94	�	�	NOUN
aiti-14192	191	95	�	�	PROPN
aiti-14192	191	96	is	be	AUX
aiti-14192	191	97	the	the	DET
aiti-14192	191	98	context	context	NOUN
aiti-14192	191	99	layer	layer	NOUN
aiti-14192	191	100	neuron	neuron	NOUN
aiti-14192	191	101	at	at	ADP
aiti-14192	191	102	time	time	NOUN
aiti-14192	191	103	t	t	PROPN
aiti-14192	191	104	where	where	SCONJ
aiti-14192	191	105	j	j	PROPN
aiti-14192	191	106	=	=	SYM
aiti-14192	191	107	1	1	NUM
aiti-14192	191	108	,	,	PUNCT
aiti-14192	191	109	2	2	NUM
aiti-14192	191	110	,	,	PUNCT
aiti-14192	191	111	⋯	⋯	NOUN
aiti-14192	191	112	,	,	PUNCT
aiti-14192	191	113	u	u	NOUN
aiti-14192	191	114	,	,	PUNCT
aiti-14192	191	115	"	"	PUNCT
aiti-14192	191	116	�	�	PROPN
aiti-14192	191	117	�	�	PROPN
aiti-14192	191	118	is	be	AUX
aiti-14192	191	119	the	the	DET
aiti-14192	191	120	weight	weight	NOUN
aiti-14192	191	121	that	that	PRON
aiti-14192	191	122	connects	connect	VERB
aiti-14192	191	123	the	the	DET
aiti-14192	191	124	node	node	NOUN
aiti-14192	191	125	i	i	PRON
aiti-14192	191	126	in	in	ADP
aiti-14192	191	127	the	the	DET
aiti-14192	191	128	input	input	NOUN
aiti-14192	191	129	layer	layer	NOUN
aiti-14192	191	130	neurons	neuron	NOUN
aiti-14192	191	131	to	to	ADP
aiti-14192	191	132	the	the	DET
aiti-14192	191	133	node	node	PROPN
aiti-14192	191	134	j	j	PROPN
aiti-14192	191	135	in	in	ADP
aiti-14192	191	136	the	the	DET
aiti-14192	191	137	hidden	hide	VERB
aiti-14192	191	138	layer	layer	NOUN
aiti-14192	191	139	,	,	PUNCT
aiti-14192	191	140	$	$	SYM
aiti-14192	191	141	�	�	NOUN
aiti-14192	191	142	are	be	AUX
aiti-14192	191	143	the	the	DET
aiti-14192	191	144	weights	weight	NOUN
aiti-14192	191	145	that	that	PRON
aiti-14192	191	146	connect	connect	VERB
aiti-14192	191	147	the	the	DET
aiti-14192	191	148	node	node	PROPN
aiti-14192	191	149	j	j	PROPN
aiti-14192	191	150	in	in	ADP
aiti-14192	191	151	the	the	DET
aiti-14192	191	152	context	context	NOUN
aiti-14192	191	153	layer	layer	NOUN
aiti-14192	191	154	neurons	neuron	NOUN
aiti-14192	191	155	to	to	ADP
aiti-14192	191	156	the	the	DET
aiti-14192	191	157	node	node	NOUN
aiti-14192	191	158	in	in	ADP
aiti-14192	191	159	the	the	DET
aiti-14192	191	160	hidden	hidden	ADJ
aiti-14192	191	161	layers	layer	NOUN
aiti-14192	191	162	,	,	PUNCT
aiti-14192	191	163	and	and	CCONJ
aiti-14192	191	164	k	k	PROPN
aiti-14192	191	165	is	be	AUX
aiti-14192	191	166	the	the	DET
aiti-14192	191	167	maximum	maximum	ADJ
aiti-14192	191	168	training	training	NOUN
aiti-14192	191	169	iteration	iteration	NOUN
aiti-14192	191	170	number	number	NOUN
aiti-14192	191	171	and	and	CCONJ
aiti-14192	191	172	initial	initial	ADJ
aiti-14192	191	173	connective	connective	ADJ
aiti-14192	191	174	weights	weight	NOUN
aiti-14192	191	175	.	.	PUNCT
aiti-14192	192	1	additionally	additionally	ADV
aiti-14192	192	2	,	,	PUNCT
aiti-14192	192	3	the	the	DET
aiti-14192	192	4	topology	topology	NOUN
aiti-14192	192	5	of	of	ADP
aiti-14192	192	6	the	the	DET
aiti-14192	192	7	network	network	NOUN
aiti-14192	192	8	architecture	architecture	NOUN
aiti-14192	192	9	is	be	AUX
aiti-14192	192	10	determined	determine	VERB
aiti-14192	192	11	by	by	ADP
aiti-14192	192	12	the	the	DET
aiti-14192	192	13	number	number	NOUN
aiti-14192	192	14	of	of	ADP
aiti-14192	192	15	neural	neural	ADJ
aiti-14192	192	16	nodes	node	NOUN
aiti-14192	192	17	in	in	ADP
aiti-14192	192	18	the	the	DET
aiti-14192	192	19	hidden	hide	VERB
aiti-14192	192	20	layer	layer	NOUN
aiti-14192	192	21	.	.	PUNCT
aiti-14192	193	1	as	as	ADP
aiti-14192	193	2	a	a	DET
aiti-14192	193	3	result	result	NOUN
aiti-14192	193	4	of	of	ADP
aiti-14192	193	5	the	the	DET
aiti-14192	193	6	hidden	hidden	ADJ
aiti-14192	193	7	neurons	neuron	NOUN
aiti-14192	193	8	,	,	PUNCT
aiti-14192	193	9	the	the	DET
aiti-14192	193	10	output	output	NOUN
aiti-14192	193	11	is	be	AUX
aiti-14192	193	12	as	as	SCONJ
aiti-14192	193	13	follows	follow	VERB
aiti-14192	193	14	:	:	PUNCT
aiti-14192	193	15	(	(	PUNCT
aiti-14192	193	16	)	)	PUNCT
aiti-14192	193	17	(	(	PUNCT
aiti-14192	193	18	)	)	PUNCT
aiti-14192	193	19	(	(	PUNCT
aiti-14192	193	20	)	)	PUNCT
aiti-14192	193	21	1	1	NUM
aiti-14192	193	22	1	1	NUM
aiti-14192	193	23	1α	1α	NUM
aiti-14192	193	24	β	β	X
aiti-14192	193	25	=	=	SYM
aiti-14192	193	26	=	=	PUNCT
aiti-14192	193	27			NOUN
aiti-14192	193	28			NOUN
aiti-14192	193	29	=	=	PUNCT
aiti-14192	194	1	−	−	PROPN
aiti-14192	195	1	+	+	ADV
aiti-14192	195	2			PROPN
aiti-14192	195	3			CCONJ
aiti-14192	195	4			PROPN
aiti-14192	195	5			NOUN
aiti-14192	195	6			X
aiti-14192	195	7	h	h	VERB
aiti-14192	195	8	m	m	VERB
aiti-14192	195	9	u	u	NOUN
aiti-14192	195	10	jt	jt	PROPN
aiti-14192	195	11	ij	ij	INTJ
aiti-14192	195	12	it	it	PRON
aiti-14192	196	1	j	j	PROPN
aiti-14192	197	1	jt	jt	PROPN
aiti-14192	198	1	i	i	PRON
aiti-14192	199	1	j	j	PROPN
aiti-14192	200	1	h	h	NOUN
aiti-14192	201	1	k	k	NOUN
aiti-14192	201	2	f	f	X
aiti-14192	201	3	e	e	X
aiti-14192	201	4	k	k	PROPN
aiti-14192	201	5	c	c	PROPN
aiti-14192	201	6	k	k	X
aiti-14192	201	7	(	(	PUNCT
aiti-14192	201	8	12	12	NUM
aiti-14192	201	9	)	)	PUNCT
aiti-14192	201	10	where	where	SCONJ
aiti-14192	201	11	the	the	DET
aiti-14192	201	12	linear	linear	PROPN
aiti-14192	201	13	function	function	PROPN
aiti-14192	201	14	�	�	PROPN
aiti-14192	201	15	&	&	CCONJ
aiti-14192	201	16	in	in	ADP
aiti-14192	201	17	the	the	DET
aiti-14192	201	18	hidden	hide	VERB
aiti-14192	201	19	layer	layer	NOUN
aiti-14192	201	20	is	be	AUX
aiti-14192	201	21	selected	select	VERB
aiti-14192	201	22	as	as	ADP
aiti-14192	201	23	the	the	DET
aiti-14192	201	24	activation	activation	NOUN
aiti-14192	201	25	function	function	NOUN
aiti-14192	201	26	based	base	VERB
aiti-14192	201	27	on	on	ADP
aiti-14192	201	28	the	the	DET
aiti-14192	201	29	following	follow	VERB
aiti-14192	201	30	equation	equation	NOUN
aiti-14192	201	31	:	:	PUNCT
aiti-14192	201	32	(	(	PUNCT
aiti-14192	201	33	)	)	PUNCT
aiti-14192	201	34	=	=	SYM
aiti-14192	202	1	h	h	NOUN
aiti-14192	202	2	f	f	NOUN
aiti-14192	202	3	v	v	NUM
aiti-14192	202	4	v	v	NOUN
aiti-14192	202	5	(	(	PUNCT
aiti-14192	202	6	13	13	NUM
aiti-14192	202	7	)	)	PUNCT
aiti-14192	202	8	where	where	SCONJ
aiti-14192	202	9	v	v	NOUN
aiti-14192	202	10	is	be	AUX
aiti-14192	202	11	the	the	DET
aiti-14192	202	12	input	input	NOUN
aiti-14192	202	13	value	value	NOUN
aiti-14192	202	14	.	.	PUNCT
aiti-14192	203	1	the	the	DET
aiti-14192	203	2	output	output	NOUN
aiti-14192	203	3	of	of	ADP
aiti-14192	203	4	the	the	DET
aiti-14192	203	5	hidden	hide	VERB
aiti-14192	203	6	layer	layer	NOUN
aiti-14192	203	7	is	be	AUX
aiti-14192	203	8	given	give	VERB
aiti-14192	203	9	as	as	SCONJ
aiti-14192	203	10	follows	follow	VERB
aiti-14192	203	11	:	:	PUNCT
aiti-14192	203	12	(	(	PUNCT
aiti-14192	203	13	)	)	PUNCT
aiti-14192	203	14	1	1	NUM
aiti-14192	203	15	δ	δ	NOUN
aiti-14192	203	16	=	=	NOUN
aiti-14192	203	17			NOUN
aiti-14192	203	18			NOUN
aiti-14192	203	19	=	=	SYM
aiti-14192	203	20			PROPN
aiti-14192	204	1			PROPN
aiti-14192	204	2			ADJ
aiti-14192	204	3			PROPN
aiti-14192	204	4	t	t	ADJ
aiti-14192	204	5	m	m	VERB
aiti-14192	204	6	t	t	PROPN
aiti-14192	204	7	j	j	PROPN
aiti-14192	204	8	jt	jt	PROPN
aiti-14192	204	9	j	j	PROPN
aiti-14192	205	1	n	n	CCONJ
aiti-14192	205	2	f	f	PROPN
aiti-14192	205	3	h	h	NOUN
aiti-14192	206	1	k	k	PROPN
aiti-14192	206	2	(	(	PUNCT
aiti-14192	206	3	14	14	NUM
aiti-14192	206	4	)	)	PUNCT
aiti-14192	206	5	where	where	SCONJ
aiti-14192	206	6	�	�	PROPN
aiti-14192	206	7	�	�	PROPN
aiti-14192	206	8	is	be	AUX
aiti-14192	206	9	the	the	DET
aiti-14192	206	10	output	output	NOUN
aiti-14192	206	11	of	of	ADP
aiti-14192	206	12	the	the	DET
aiti-14192	206	13	network	network	NOUN
aiti-14192	206	14	at	at	ADP
aiti-14192	206	15	time	time	NOUN
aiti-14192	206	16	t	t	PROPN
aiti-14192	206	17	,	,	PUNCT
aiti-14192	206	18	,	,	PUNCT
aiti-14192	206	19	�	�	PROPN
aiti-14192	206	20	are	be	AUX
aiti-14192	206	21	the	the	DET
aiti-14192	206	22	weights	weight	NOUN
aiti-14192	206	23	that	that	PRON
aiti-14192	206	24	connect	connect	VERB
aiti-14192	206	25	the	the	DET
aiti-14192	206	26	node	node	PROPN
aiti-14192	206	27	j	j	PROPN
aiti-14192	206	28	,	,	PUNCT
aiti-14192	206	29	in	in	ADP
aiti-14192	206	30	the	the	DET
aiti-14192	206	31	hidden	hide	VERB
aiti-14192	206	32	layer	layer	NOUN
aiti-14192	206	33	neurons	neuron	NOUN
aiti-14192	206	34	to	to	ADP
aiti-14192	206	35	the	the	DET
aiti-14192	206	36	node	node	NOUN
aiti-14192	206	37	in	in	ADP
aiti-14192	206	38	the	the	DET
aiti-14192	206	39	output	output	NOUN
aiti-14192	206	40	layers	layer	NOUN
aiti-14192	206	41	,	,	PUNCT
aiti-14192	206	42	and	and	CCONJ
aiti-14192	206	43	�	�	NOUN
aiti-14192	206	44	-	-	PUNCT
aiti-14192	206	45	(	(	PUNCT
aiti-14192	206	46	.	.	PUNCT
aiti-14192	206	47	)	)	PUNCT
aiti-14192	207	1	is	be	AUX
aiti-14192	207	2	an	an	DET
aiti-14192	207	3	identity	identity	NOUN
aiti-14192	207	4	map	map	NOUN
aiti-14192	207	5	as	as	ADP
aiti-14192	207	6	the	the	DET
aiti-14192	207	7	activation	activation	NOUN
aiti-14192	207	8	function	function	NOUN
aiti-14192	207	9	.	.	PUNCT
aiti-14192	208	1	3.8	3.8	NUM
aiti-14192	208	2	.	.	PUNCT
aiti-14192	209	1	the	the	DET
aiti-14192	209	2	general	general	ADJ
aiti-14192	209	3	framework	framework	NOUN
aiti-14192	209	4	of	of	ADP
aiti-14192	209	5	the	the	DET
aiti-14192	209	6	hybrid	hybrid	ADJ
aiti-14192	209	7	model	model	NOUN
aiti-14192	209	8	the	the	DET
aiti-14192	209	9	estimation	estimation	NOUN
aiti-14192	209	10	of	of	ADP
aiti-14192	209	11	�	�	PROPN
aiti-14192	209	12	�	�	PROPN
aiti-14192	209	13	will	will	AUX
aiti-14192	209	14	result	result	VERB
aiti-14192	209	15	in	in	ADP
aiti-14192	209	16	the	the	DET
aiti-14192	209	17	estimation	estimation	NOUN
aiti-14192	209	18	of	of	ADP
aiti-14192	209	19	the	the	DET
aiti-14192	209	20	non	non	ADJ
aiti-14192	209	21	-	-	ADJ
aiti-14192	209	22	linear	linear	ADJ
aiti-14192	209	23	component	component	NOUN
aiti-14192	209	24	in	in	ADP
aiti-14192	209	25	the	the	DET
aiti-14192	209	26	time	time	NOUN
aiti-14192	209	27	series	series	PROPN
aiti-14192	209	28	�	�	PROPN
aiti-14192	209	29	.	.	PROPN
aiti-14192	209	30	�	�	PROPN
aiti-14192	209	31	.	.	PUNCT
aiti-14192	210	1	the	the	DET
aiti-14192	210	2	estimated	estimate	VERB
aiti-14192	210	3	values	value	NOUN
aiti-14192	210	4	of	of	ADP
aiti-14192	210	5	the	the	DET
aiti-14192	210	6	time	time	NOUN
aiti-14192	210	7	series	series	NOUN
aiti-14192	210	8	are	be	AUX
aiti-14192	210	9	obtained	obtain	VERB
aiti-14192	210	10	as	as	ADP
aiti-14192	210	11	follows	follow	VERB
aiti-14192	210	12	:	:	PUNCT
aiti-14192	210	13	ˆ	ˆ	PRON
aiti-14192	210	14	ˆˆ	ˆˆ	PROPN
aiti-14192	210	15	=	=	PUNCT
aiti-14192	211	1	+	+	NOUN
aiti-14192	211	2	t	t	X
aiti-14192	211	3	t	t	NOUN
aiti-14192	211	4	ty	ty	INTJ
aiti-14192	211	5	l	l	NOUN
aiti-14192	211	6	n	n	CCONJ
aiti-14192	211	7	(	(	PUNCT
aiti-14192	211	8	15	15	NUM
aiti-14192	211	9	)	)	PUNCT
aiti-14192	211	10	the	the	DET
aiti-14192	211	11	neural	neural	ADJ
aiti-14192	211	12	network	network	NOUN
aiti-14192	211	13	(	(	PUNCT
aiti-14192	211	14	ann	ann	PROPN
aiti-14192	211	15	/	/	SYM
aiti-14192	211	16	ernn	ernn	PROPN
aiti-14192	211	17	)	)	PUNCT
aiti-14192	211	18	can	can	AUX
aiti-14192	211	19	effectively	effectively	ADV
aiti-14192	211	20	capture	capture	VERB
aiti-14192	211	21	the	the	DET
aiti-14192	211	22	non	non	ADJ
aiti-14192	211	23	-	-	ADJ
aiti-14192	211	24	linear	linear	ADJ
aiti-14192	211	25	patterns	pattern	NOUN
aiti-14192	211	26	present	present	ADJ
aiti-14192	211	27	in	in	ADP
aiti-14192	211	28	the	the	DET
aiti-14192	211	29	residuals	residual	NOUN
aiti-14192	211	30	obtained	obtain	VERB
aiti-14192	211	31	from	from	ADP
aiti-14192	211	32	the	the	DET
aiti-14192	211	33	arimax	arimax	PROPN
aiti-14192	211	34	model	model	NOUN
aiti-14192	211	35	.	.	PUNCT
aiti-14192	212	1	by	by	ADP
aiti-14192	212	2	incorporating	incorporate	VERB
aiti-14192	212	3	neural	neural	ADJ
aiti-14192	212	4	network	network	NOUN
aiti-14192	212	5	(	(	PUNCT
aiti-14192	212	6	ann	ann	PROPN
aiti-14192	212	7	/	/	SYM
aiti-14192	212	8	ernn	ernn	PROPN
aiti-14192	212	9	)	)	PUNCT
aiti-14192	212	10	into	into	ADP
aiti-14192	212	11	a	a	DET
aiti-14192	212	12	hybrid	hybrid	ADJ
aiti-14192	212	13	model	model	NOUN
aiti-14192	212	14	,	,	PUNCT
aiti-14192	212	15	forecasting	forecast	VERB
aiti-14192	212	16	that	that	DET
aiti-14192	212	17	performance	performance	NOUN
aiti-14192	212	18	can	can	AUX
aiti-14192	212	19	be	be	AUX
aiti-14192	212	20	significantly	significantly	ADV
aiti-14192	212	21	enhanced	enhance	VERB
aiti-14192	212	22	[	[	PUNCT
aiti-14192	212	23	10	10	NUM
aiti-14192	212	24	]	]	PUNCT
aiti-14192	212	25	.	.	PUNCT
aiti-14192	213	1	hence	hence	ADV
aiti-14192	213	2	,	,	PUNCT
aiti-14192	213	3	the	the	DET
aiti-14192	213	4	problem	problem	NOUN
aiti-14192	213	5	of	of	ADP
aiti-14192	213	6	spurious	spurious	ADJ
aiti-14192	213	7	regression	regression	NOUN
aiti-14192	213	8	can	can	AUX
aiti-14192	213	9	be	be	AUX
aiti-14192	213	10	addressed	address	VERB
aiti-14192	213	11	by	by	ADP
aiti-14192	213	12	using	use	VERB
aiti-14192	213	13	hybrid	hybrid	ADJ
aiti-14192	213	14	arimax	arimax	NOUN
aiti-14192	213	15	models	model	NOUN
aiti-14192	213	16	with	with	ADP
aiti-14192	213	17	neural	neural	ADJ
aiti-14192	213	18	network	network	NOUN
aiti-14192	213	19	(	(	PUNCT
aiti-14192	213	20	ann	ann	PROPN
aiti-14192	213	21	/	/	SYM
aiti-14192	213	22	ernn	ernn	PROPN
aiti-14192	213	23	)	)	PUNCT
aiti-14192	213	24	to	to	PART
aiti-14192	213	25	account	account	VERB
aiti-14192	213	26	for	for	ADP
aiti-14192	213	27	linear	linear	ADJ
aiti-14192	213	28	and	and	CCONJ
aiti-14192	213	29	non	non	ADJ
aiti-14192	213	30	-	-	ADJ
aiti-14192	213	31	linear	linear	ADJ
aiti-14192	213	32	terms	term	NOUN
aiti-14192	213	33	in	in	ADP
aiti-14192	213	34	time	time	NOUN
aiti-14192	213	35	series	series	PROPN
aiti-14192	213	36	data	data	PROPN
aiti-14192	213	37	.	.	PUNCT
aiti-14192	214	1	these	these	DET
aiti-14192	214	2	methods	method	NOUN
aiti-14192	214	3	furnish	furnish	VERB
aiti-14192	214	4	a	a	DET
aiti-14192	214	5	92	92	NUM
aiti-14192	214	6	advances	advance	NOUN
aiti-14192	214	7	in	in	ADP
aiti-14192	214	8	technology	technology	NOUN
aiti-14192	214	9	innovation	innovation	NOUN
aiti-14192	214	10	,	,	PUNCT
aiti-14192	214	11	vol	vol	NOUN
aiti-14192	214	12	.	.	PROPN
aiti-14192	215	1	10	10	NUM
aiti-14192	215	2	,	,	PUNCT
aiti-14192	215	3	no	no	INTJ
aiti-14192	215	4	.	.	NOUN
aiti-14192	215	5	2	2	NUM
aiti-14192	215	6	,	,	PUNCT
aiti-14192	215	7	2025	2025	NUM
aiti-14192	215	8	,	,	PUNCT
aiti-14192	215	9	pp	pp	ADJ
aiti-14192	215	10	.	.	PUNCT
aiti-14192	215	11	85	85	NUM
aiti-14192	215	12	-	-	SYM
aiti-14192	215	13	101	101	NUM
aiti-14192	215	14	powerful	powerful	ADJ
aiti-14192	215	15	tool	tool	NOUN
aiti-14192	215	16	for	for	ADP
aiti-14192	215	17	accurately	accurately	ADV
aiti-14192	215	18	modeling	modeling	NOUN
aiti-14192	215	19	time	time	NOUN
aiti-14192	215	20	series	series	PROPN
aiti-14192	215	21	data	datum	NOUN
aiti-14192	215	22	and	and	CCONJ
aiti-14192	215	23	can	can	AUX
aiti-14192	215	24	help	help	VERB
aiti-14192	215	25	overcome	overcome	VERB
aiti-14192	215	26	the	the	DET
aiti-14192	215	27	limitations	limitation	NOUN
aiti-14192	215	28	of	of	ADP
aiti-14192	215	29	traditional	traditional	ADJ
aiti-14192	215	30	regression	regression	NOUN
aiti-14192	215	31	models	model	NOUN
aiti-14192	215	32	in	in	ADP
aiti-14192	215	33	the	the	DET
aiti-14192	215	34	presence	presence	NOUN
aiti-14192	215	35	of	of	ADP
aiti-14192	215	36	spurious	spurious	ADJ
aiti-14192	215	37	regression	regression	NOUN
aiti-14192	215	38	.	.	PUNCT
aiti-14192	216	1	traditionally	traditionally	ADV
aiti-14192	216	2	,	,	PUNCT
aiti-14192	216	3	the	the	DET
aiti-14192	216	4	number	number	NOUN
aiti-14192	216	5	of	of	ADP
aiti-14192	216	6	hidden	hidden	ADJ
aiti-14192	216	7	layers	layer	NOUN
aiti-14192	216	8	is	be	AUX
aiti-14192	216	9	selected	select	VERB
aiti-14192	216	10	based	base	VERB
aiti-14192	216	11	on	on	ADP
aiti-14192	216	12	minimizing	minimize	VERB
aiti-14192	216	13	the	the	DET
aiti-14192	216	14	mmse	mmse	NOUN
aiti-14192	217	1	[	[	X
aiti-14192	217	2	25	25	NUM
aiti-14192	217	3	]	]	PUNCT
aiti-14192	217	4	.	.	PUNCT
aiti-14192	218	1	(	(	PUNCT
aiti-14192	218	2	)	)	PUNCT
aiti-14192	218	3	2	2	NUM
aiti-14192	218	4	1	1	NUM
aiti-14192	218	5	1	1	NUM
aiti-14192	218	6	ˆ	ˆ	NOUN
aiti-14192	218	7	=	=	SYM
aiti-14192	218	8	−	−	PROPN
aiti-14192	218	9	−=	−=	NOUN
aiti-14192	218	10	−	−	NOUN
aiti-14192	219	1	q	q	NOUN
aiti-14192	220	1	t	t	NOUN
aiti-14192	221	1	i	i	PRON
aiti-14192	221	2	t	t	X
aiti-14192	222	1	i	i	PRON
aiti-14192	222	2	i	i	PRON
aiti-14192	222	3	mmse	mmse	VERB
aiti-14192	222	4	n	n	CCONJ
aiti-14192	222	5	n	n	ADV
aiti-14192	222	6	q	q	PROPN
aiti-14192	222	7	(	(	PUNCT
aiti-14192	222	8	16	16	NUM
aiti-14192	222	9	)	)	PUNCT
aiti-14192	222	10	3.9	3.9	NUM
aiti-14192	222	11	.	.	PUNCT
aiti-14192	223	1	optimization	optimization	NOUN
aiti-14192	223	2	of	of	ADP
aiti-14192	223	3	the	the	DET
aiti-14192	223	4	hybrid	hybrid	ADJ
aiti-14192	223	5	model	model	NOUN
aiti-14192	223	6	the	the	DET
aiti-14192	223	7	approach	approach	NOUN
aiti-14192	223	8	extends	extend	VERB
aiti-14192	223	9	this	this	DET
aiti-14192	223	10	methodology	methodology	NOUN
aiti-14192	223	11	by	by	ADP
aiti-14192	223	12	systematically	systematically	ADV
aiti-14192	223	13	optimizing	optimize	VERB
aiti-14192	223	14	both	both	CCONJ
aiti-14192	223	15	the	the	DET
aiti-14192	223	16	number	number	NOUN
aiti-14192	223	17	of	of	ADP
aiti-14192	223	18	lagged	lag	VERB
aiti-14192	223	19	inputs	input	NOUN
aiti-14192	223	20	(	(	PUNCT
aiti-14192	223	21	(	(	PUNCT
aiti-14192	223	22	�	�	PROPN
aiti-14192	223	23	�	�	PROPN
aiti-14192	223	24	)	)	PUNCT
aiti-14192	223	25	and	and	CCONJ
aiti-14192	223	26	the	the	DET
aiti-14192	223	27	number	number	NOUN
aiti-14192	223	28	of	of	ADP
aiti-14192	223	29	hidden	hidden	ADJ
aiti-14192	223	30	layers	layer	NOUN
aiti-14192	223	31	(	(	PUNCT
aiti-14192	223	32	denoted	denote	VERB
aiti-14192	223	33	as	as	ADP
aiti-14192	223	34	ℎ	ℎ	PROPN
aiti-14192	223	35	�	�	PROPN
aiti-14192	223	36	�	�	PROPN
aiti-14192	223	37	)	)	PUNCT
aiti-14192	223	38	.	.	PUNCT
aiti-14192	224	1	the	the	DET
aiti-14192	224	2	optimization	optimization	NOUN
aiti-14192	224	3	is	be	AUX
aiti-14192	224	4	conducted	conduct	VERB
aiti-14192	224	5	through	through	ADP
aiti-14192	224	6	a	a	DET
aiti-14192	224	7	hybrid	hybrid	ADJ
aiti-14192	224	8	model	model	NOUN
aiti-14192	224	9	that	that	PRON
aiti-14192	224	10	aims	aim	VERB
aiti-14192	224	11	to	to	PART
aiti-14192	224	12	minimize	minimize	VERB
aiti-14192	224	13	the	the	DET
aiti-14192	224	14	mean	mean	ADJ
aiti-14192	224	15	squared	square	VERB
aiti-14192	224	16	error	error	NOUN
aiti-14192	224	17	,	,	PUNCT
aiti-14192	224	18	as	as	SCONJ
aiti-14192	224	19	detailed	detailed	ADJ
aiti-14192	224	20	in	in	ADP
aiti-14192	224	21	the	the	DET
aiti-14192	224	22	following	follow	VERB
aiti-14192	224	23	equation	equation	NOUN
aiti-14192	224	24	:	:	PUNCT
aiti-14192	224	25	(	(	PUNCT
aiti-14192	224	26	)	)	PUNCT
aiti-14192	224	27	2	2	NUM
aiti-14192	224	28	1	1	NUM
aiti-14192	224	29	1	1	NUM
aiti-14192	224	30	ˆ	ˆ	NOUN
aiti-14192	224	31	=	=	SYM
aiti-14192	224	32	−	−	PROPN
aiti-14192	224	33	−=	−=	NOUN
aiti-14192	225	1	−	−	NOUN
aiti-14192	225	2	q	q	NOUN
aiti-14192	226	1	t	t	NOUN
aiti-14192	227	1	i	i	PRON
aiti-14192	227	2	t	t	X
aiti-14192	228	1	i	i	PRON
aiti-14192	228	2	i	i	PRON
aiti-14192	228	3	mmse	mmse	VERB
aiti-14192	228	4	q	q	X
aiti-14192	228	5	y	y	PROPN
aiti-14192	228	6	y	y	PROPN
aiti-14192	228	7	(	(	PUNCT
aiti-14192	228	8	17	17	NUM
aiti-14192	228	9	)	)	PUNCT
aiti-14192	228	10	fig	fig	NOUN
aiti-14192	228	11	.	.	PUNCT
aiti-14192	229	1	3	3	NUM
aiti-14192	229	2	depicts	depict	VERB
aiti-14192	229	3	the	the	DET
aiti-14192	229	4	enhanced	enhance	VERB
aiti-14192	229	5	process	process	NOUN
aiti-14192	229	6	flow	flow	NOUN
aiti-14192	229	7	of	of	ADP
aiti-14192	229	8	the	the	DET
aiti-14192	229	9	hybrid	hybrid	ADJ
aiti-14192	229	10	model	model	NOUN
aiti-14192	229	11	featuring	feature	VERB
aiti-14192	229	12	alternative	alternative	ADJ
aiti-14192	229	13	optimization	optimization	NOUN
aiti-14192	229	14	.	.	PUNCT
aiti-14192	230	1	the	the	DET
aiti-14192	230	2	sequence	sequence	NOUN
aiti-14192	230	3	initiates	initiate	VERB
aiti-14192	230	4	with	with	ADP
aiti-14192	230	5	the	the	DET
aiti-14192	230	6	input	input	NOUN
aiti-14192	230	7	�	�	PROPN
aiti-14192	230	8	�	�	PROPN
aiti-14192	230	9	,	,	PUNCT
aiti-14192	230	10	/	/	SYM
aiti-14192	230	11	�	�	PROPN
aiti-14192	230	12	which	which	PRON
aiti-14192	230	13	enters	enter	VERB
aiti-14192	230	14	the	the	DET
aiti-14192	230	15	arimax	arimax	PROPN
aiti-14192	230	16	model	model	NOUN
aiti-14192	230	17	,	,	PUNCT
aiti-14192	230	18	functioning	function	VERB
aiti-14192	230	19	as	as	SCONJ
aiti-14192	230	20	the	the	DET
aiti-14192	230	21	linear	linear	PROPN
aiti-14192	230	22	estimator	estimator	NOUN
aiti-14192	230	23	to	to	PART
aiti-14192	230	24	generate	generate	VERB
aiti-14192	230	25	�	�	PROPN
aiti-14192	230	26	�	�	PROPN
aiti-14192	230	27	�	�	PROPN
aiti-14192	230	28	.	.	PUNCT
aiti-14192	231	1	the	the	DET
aiti-14192	231	2	residuals	residual	NOUN
aiti-14192	231	3	from	from	ADP
aiti-14192	231	4	this	this	DET
aiti-14192	231	5	model	model	NOUN
aiti-14192	231	6	are	be	AUX
aiti-14192	231	7	fed	feed	VERB
aiti-14192	231	8	into	into	ADP
aiti-14192	231	9	a	a	DET
aiti-14192	231	10	neural	neural	ADJ
aiti-14192	231	11	network	network	NOUN
aiti-14192	231	12	(	(	PUNCT
aiti-14192	231	13	ann	ann	PROPN
aiti-14192	231	14	/	/	SYM
aiti-14192	231	15	ernn	ernn	PROPN
aiti-14192	231	16	)	)	PUNCT
aiti-14192	231	17	thereafter	thereafter	ADV
aiti-14192	231	18	,	,	PUNCT
aiti-14192	231	19	serving	serve	VERB
aiti-14192	231	20	as	as	ADP
aiti-14192	231	21	the	the	DET
aiti-14192	231	22	nonlinear	nonlinear	ADJ
aiti-14192	231	23	estimator	estimator	NOUN
aiti-14192	231	24	to	to	PART
aiti-14192	231	25	compute	compute	VERB
aiti-14192	231	26	�	�	PROPN
aiti-14192	231	27	0	0	NUM
aiti-14192	231	28	�	�	PROPN
aiti-14192	231	29	.	.	PUNCT
aiti-14192	232	1	the	the	DET
aiti-14192	232	2	system	system	NOUN
aiti-14192	232	3	subsequently	subsequently	ADV
aiti-14192	232	4	assesses	assess	VERB
aiti-14192	232	5	if	if	SCONJ
aiti-14192	232	6	the	the	DET
aiti-14192	232	7	combination	combination	NOUN
aiti-14192	232	8	of	of	ADP
aiti-14192	232	9	�	�	PROPN
aiti-14192	232	10	�	�	PROPN
aiti-14192	232	11	�	�	PROPN
aiti-14192	232	12	and	and	CCONJ
aiti-14192	232	13	�	�	PROPN
aiti-14192	232	14	0	0	NUM
aiti-14192	232	15	�	�	PROPN
aiti-14192	232	16	satisfies	satisfy	VERB
aiti-14192	232	17	the	the	DET
aiti-14192	232	18	mmse	mmse	ADJ
aiti-14192	232	19	threshold	threshold	NOUN
aiti-14192	232	20	.	.	PUNCT
aiti-14192	233	1	if	if	SCONJ
aiti-14192	233	2	the	the	DET
aiti-14192	233	3	mmse	mmse	ADJ
aiti-14192	233	4	criteria	criterion	NOUN
aiti-14192	233	5	are	be	AUX
aiti-14192	233	6	not	not	PART
aiti-14192	233	7	fulfilled	fulfil	VERB
aiti-14192	233	8	,	,	PUNCT
aiti-14192	233	9	the	the	DET
aiti-14192	233	10	process	process	NOUN
aiti-14192	233	11	iteratively	iteratively	ADV
aiti-14192	233	12	refines	refine	VERB
aiti-14192	233	13	the	the	DET
aiti-14192	233	14	lags	lag	NOUN
aiti-14192	233	15	and	and	CCONJ
aiti-14192	233	16	hidden	hidden	ADJ
aiti-14192	233	17	layers	layer	NOUN
aiti-14192	233	18	within	within	ADP
aiti-14192	233	19	the	the	DET
aiti-14192	233	20	neural	neural	ADJ
aiti-14192	233	21	network	network	NOUN
aiti-14192	233	22	to	to	PART
aiti-14192	233	23	optimize	optimize	VERB
aiti-14192	233	24	�	�	PROPN
aiti-14192	233	25	0	0	NUM
aiti-14192	233	26	�	�	PROPN
aiti-14192	233	27	,	,	PUNCT
aiti-14192	233	28	thereby	thereby	ADV
aiti-14192	233	29	enhancing	enhance	VERB
aiti-14192	233	30	the	the	DET
aiti-14192	233	31	predictive	predictive	ADJ
aiti-14192	233	32	accuracy	accuracy	NOUN
aiti-14192	233	33	.	.	PUNCT
aiti-14192	234	1	upon	upon	SCONJ
aiti-14192	234	2	meeting	meet	VERB
aiti-14192	234	3	the	the	DET
aiti-14192	234	4	mmse	mmse	ADJ
aiti-14192	234	5	threshold	threshold	NOUN
aiti-14192	234	6	,	,	PUNCT
aiti-14192	234	7	the	the	DET
aiti-14192	234	8	final	final	ADJ
aiti-14192	234	9	output	output	NOUN
aiti-14192	234	10	�	�	PROPN
aiti-14192	234	11	.	.	PUNCT
aiti-14192	234	12	�	�	PROPN
aiti-14192	234	13	is	be	AUX
aiti-14192	234	14	produced	produce	VERB
aiti-14192	234	15	.	.	PUNCT
aiti-14192	235	1	fig	fig	NOUN
aiti-14192	235	2	.	.	PUNCT
aiti-14192	236	1	3	3	NUM
aiti-14192	236	2	conceptual	conceptual	ADJ
aiti-14192	236	3	framework	framework	NOUN
aiti-14192	236	4	of	of	ADP
aiti-14192	236	5	alternative	alternative	ADJ
aiti-14192	236	6	optimization	optimization	NOUN
aiti-14192	236	7	of	of	ADP
aiti-14192	236	8	hybrid	hybrid	ADJ
aiti-14192	236	9	model	model	NOUN
aiti-14192	236	10	4	4	NUM
aiti-14192	236	11	.	.	NOUN
aiti-14192	236	12	results	result	NOUN
aiti-14192	236	13	and	and	CCONJ
aiti-14192	236	14	discussion	discussion	NOUN
aiti-14192	236	15	this	this	DET
aiti-14192	236	16	section	section	NOUN
aiti-14192	236	17	presents	present	VERB
aiti-14192	236	18	the	the	DET
aiti-14192	236	19	findings	finding	NOUN
aiti-14192	236	20	from	from	ADP
aiti-14192	236	21	the	the	DET
aiti-14192	236	22	ccf	ccf	PROPN
aiti-14192	236	23	analysis	analysis	NOUN
aiti-14192	236	24	,	,	PUNCT
aiti-14192	236	25	and	and	CCONJ
aiti-14192	236	26	the	the	DET
aiti-14192	236	27	statistical	statistical	ADJ
aiti-14192	236	28	tests	test	NOUN
aiti-14192	236	29	conducted	conduct	VERB
aiti-14192	236	30	to	to	PART
aiti-14192	236	31	evaluate	evaluate	VERB
aiti-14192	236	32	its	its	PRON
aiti-14192	236	33	performance	performance	NOUN
aiti-14192	236	34	.	.	PUNCT
aiti-14192	237	1	the	the	DET
aiti-14192	237	2	results	result	NOUN
aiti-14192	237	3	comprise	comprise	VERB
aiti-14192	237	4	a	a	DET
aiti-14192	237	5	detailed	detailed	ADJ
aiti-14192	237	6	comparison	comparison	NOUN
aiti-14192	237	7	of	of	ADP
aiti-14192	237	8	model	model	NOUN
aiti-14192	237	9	performance	performance	NOUN
aiti-14192	237	10	and	and	CCONJ
aiti-14192	237	11	highlight	highlight	VERB
aiti-14192	237	12	key	key	ADJ
aiti-14192	237	13	findings	finding	NOUN
aiti-14192	237	14	from	from	ADP
aiti-14192	237	15	the	the	DET
aiti-14192	237	16	analysis	analysis	NOUN
aiti-14192	237	17	across	across	ADP
aiti-14192	237	18	each	each	DET
aiti-14192	237	19	period	period	NOUN
aiti-14192	237	20	.	.	PUNCT
aiti-14192	238	1	4.1	4.1	NUM
aiti-14192	238	2	result	result	NOUN
aiti-14192	238	3	from	from	ADP
aiti-14192	238	4	cross	cross	ADJ
aiti-14192	238	5	-	-	ADJ
aiti-14192	238	6	correlation	correlation	ADJ
aiti-14192	238	7	function	function	NOUN
aiti-14192	238	8	(	(	PUNCT
aiti-14192	238	9	ccf	ccf	PROPN
aiti-14192	238	10	)	)	PUNCT
aiti-14192	238	11	this	this	DET
aiti-14192	238	12	section	section	NOUN
aiti-14192	238	13	presents	present	VERB
aiti-14192	238	14	the	the	DET
aiti-14192	238	15	results	result	NOUN
aiti-14192	238	16	of	of	ADP
aiti-14192	238	17	the	the	DET
aiti-14192	238	18	ccf	ccf	NOUN
aiti-14192	238	19	analysis	analysis	NOUN
aiti-14192	238	20	,	,	PUNCT
aiti-14192	238	21	a	a	DET
aiti-14192	238	22	crucial	crucial	ADJ
aiti-14192	238	23	tool	tool	NOUN
aiti-14192	238	24	for	for	ADP
aiti-14192	238	25	detecting	detect	VERB
aiti-14192	238	26	relationships	relationship	NOUN
aiti-14192	238	27	between	between	ADP
aiti-14192	238	28	two	two	NUM
aiti-14192	238	29	-	-	PUNCT
aiti-14192	238	30	time	time	NOUN
aiti-14192	238	31	series	series	NOUN
aiti-14192	238	32	.	.	PUNCT
aiti-14192	239	1	the	the	DET
aiti-14192	239	2	analysis	analysis	NOUN
aiti-14192	239	3	focuses	focus	VERB
aiti-14192	239	4	on	on	ADP
aiti-14192	239	5	the	the	DET
aiti-14192	239	6	correlations	correlation	NOUN
aiti-14192	239	7	between	between	ADP
aiti-14192	239	8	various	various	ADJ
aiti-14192	239	9	indices	index	NOUN
aiti-14192	239	10	of	of	ADP
aiti-14192	239	11	the	the	DET
aiti-14192	239	12	set	set	NOUN
aiti-14192	239	13	as	as	ADP
aiti-14192	239	14	endogenous	endogenous	ADJ
aiti-14192	239	15	variables	variable	NOUN
aiti-14192	239	16	with	with	ADP
aiti-14192	239	17	ggt	ggt	NOUN
aiti-14192	239	18	and	and	CCONJ
aiti-14192	239	19	the	the	DET
aiti-14192	239	20	thb	thb	PROPN
aiti-14192	239	21	across	across	ADP
aiti-14192	239	22	four	four	NUM
aiti-14192	239	23	distinct	distinct	ADJ
aiti-14192	239	24	periods	period	NOUN
aiti-14192	239	25	from	from	ADP
aiti-14192	239	26	table	table	NOUN
aiti-14192	239	27	2	2	NUM
aiti-14192	239	28	to	to	PART
aiti-14192	239	29	table	table	NOUN
aiti-14192	239	30	5	5	NUM
aiti-14192	239	31	.	.	PUNCT
aiti-14192	239	32	table	table	NOUN
aiti-14192	239	33	2	2	NUM
aiti-14192	239	34	cross	cross	ADJ
aiti-14192	239	35	-	-	ADJ
aiti-14192	239	36	correlation	correlation	ADJ
aiti-14192	239	37	analysis	analysis	NOUN
aiti-14192	239	38	for	for	ADP
aiti-14192	239	39	the	the	DET
aiti-14192	239	40	first	first	ADJ
aiti-14192	239	41	period	period	NOUN
aiti-14192	239	42	variable	variable	ADJ
aiti-14192	239	43	seta	seta	PROPN
aiti-14192	239	44	setc	setc	NOUN
aiti-14192	239	45	setf	setf	NOUN
aiti-14192	239	46	seti	seti	PROPN
aiti-14192	239	47	setp	setp	PROPN
aiti-14192	239	48	setr	setr	PROPN
aiti-14192	239	49	sets	set	VERB
aiti-14192	239	50	sett	sett	PROPN
aiti-14192	239	51	ggt	ggt	PROPN
aiti-14192	239	52	−0.2957	−0.2957	PROPN
aiti-14192	239	53	*	*	PUNCT
aiti-14192	239	54	−0.3769	−0.3769	NOUN
aiti-14192	239	55	*	*	PUNCT
aiti-14192	240	1	−0.3041	−0.3041	ADP
aiti-14192	240	2	*	*	PUNCT
aiti-14192	240	3	−0.3056	−0.3056	X
aiti-14192	240	4	*	*	PUNCT
aiti-14192	241	1	−0.3289	−0.3289	PUNCT
aiti-14192	241	2	*	*	PUNCT
aiti-14192	241	3	−0.2268	−0.2268	X
aiti-14192	241	4	*	*	SYM
aiti-14192	241	5	−0.2846	−0.2846	PROPN
aiti-14192	241	6	*	*	SYM
aiti-14192	241	7	−0.2456	−0.2456	PROPN
aiti-14192	241	8	*	*	X
aiti-14192	241	9	thb	thb	PROPN
aiti-14192	241	10	−0.2609	−0.2609	PROPN
aiti-14192	241	11	*	*	PUNCT
aiti-14192	241	12	−0.2384	−0.2384	PROPN
aiti-14192	241	13	*	*	SYM
aiti-14192	241	14	−0.2161	−0.2161	PROPN
aiti-14192	241	15	*	*	NOUN
aiti-14192	241	16	−0.1970	−0.1970	NOUN
aiti-14192	241	17	*	*	X
aiti-14192	241	18	−0.2429	−0.2429	PROPN
aiti-14192	241	19	*	*	NOUN
aiti-14192	241	20	−0.1721	−0.1721	X
aiti-14192	241	21	−0.2790	−0.2790	NOUN
aiti-14192	241	22	*	*	PUNCT
aiti-14192	241	23	−0.2228	−0.2228	VERB
aiti-14192	241	24	*	*	PUNCT
aiti-14192	241	25	*	*	PUNCT
aiti-14192	241	26	95	95	NUM
aiti-14192	241	27	%	%	NOUN
aiti-14192	241	28	significant	significant	ADJ
aiti-14192	241	29	level	level	NOUN
aiti-14192	241	30	at	at	ADP
aiti-14192	241	31	confidence	confidence	NOUN
aiti-14192	241	32	interval	interval	NOUN
aiti-14192	241	33	between	between	ADP
aiti-14192	241	34	[	[	NOUN
aiti-14192	241	35	-0.1803	-0.1803	NOUN
aiti-14192	241	36	,	,	PUNCT
aiti-14192	241	37	0.1803	0.1803	NUM
aiti-14192	241	38	]	]	PUNCT
aiti-14192	241	39	advances	advance	NOUN
aiti-14192	241	40	in	in	ADP
aiti-14192	241	41	technology	technology	NOUN
aiti-14192	241	42	innovation	innovation	NOUN
aiti-14192	241	43	,	,	PUNCT
aiti-14192	241	44	vol	vol	NOUN
aiti-14192	241	45	.	.	PROPN
aiti-14192	241	46	10	10	NUM
aiti-14192	241	47	,	,	PUNCT
aiti-14192	241	48	no	no	INTJ
aiti-14192	241	49	.	.	NOUN
aiti-14192	241	50	2	2	NUM
aiti-14192	241	51	,	,	PUNCT
aiti-14192	241	52	2025	2025	NUM
aiti-14192	241	53	,	,	PUNCT
aiti-14192	241	54	pp	pp	ADJ
aiti-14192	241	55	.	.	PUNCT
aiti-14192	241	56	85	85	NUM
aiti-14192	241	57	-	-	SYM
aiti-14192	241	58	101	101	NUM
aiti-14192	241	59	93	93	NUM
aiti-14192	241	60	table	table	NOUN
aiti-14192	241	61	3	3	NUM
aiti-14192	241	62	cross	cross	ADJ
aiti-14192	241	63	-	-	ADJ
aiti-14192	241	64	correlation	correlation	ADJ
aiti-14192	241	65	analysis	analysis	NOUN
aiti-14192	241	66	for	for	ADP
aiti-14192	241	67	the	the	DET
aiti-14192	241	68	second	second	ADJ
aiti-14192	241	69	period	period	NOUN
aiti-14192	241	70	variable	variable	ADJ
aiti-14192	241	71	seta	seta	PROPN
aiti-14192	241	72	setc	setc	NOUN
aiti-14192	241	73	setf	setf	NOUN
aiti-14192	241	74	seti	seti	PROPN
aiti-14192	241	75	setp	setp	PROPN
aiti-14192	241	76	setr	setr	PROPN
aiti-14192	241	77	sets	set	VERB
aiti-14192	241	78	sett	sett	PROPN
aiti-14192	241	79	ggt	ggt	PROPN
aiti-14192	241	80	0.0519	0.0519	NUM
aiti-14192	241	81	0.1187	0.1187	NUM
aiti-14192	241	82	−0.0901	−0.0901	NOUN
aiti-14192	241	83	−0.0798	−0.0798	NOUN
aiti-14192	241	84	0.0270	0.0270	NUM
aiti-14192	241	85	−0.0353	−0.0353	X
aiti-14192	241	86	−0.0439	−0.0439	X
aiti-14192	241	87	0.0108	0.0108	NUM
aiti-14192	241	88	thb	thb	PROPN
aiti-14192	241	89	−0.2422	−0.2422	PROPN
aiti-14192	241	90	*	*	PUNCT
aiti-14192	241	91	0.1656	0.1656	NUM
aiti-14192	241	92	−0.3154	−0.3154	NOUN
aiti-14192	241	93	*	*	PUNCT
aiti-14192	241	94	−0.2757	−0.2757	NOUN
aiti-14192	241	95	*	*	X
aiti-14192	241	96	−0.3241	−0.3241	X
aiti-14192	241	97	*	*	PUNCT
aiti-14192	241	98	−0.3106	−0.3106	PUNCT
aiti-14192	241	99	*	*	PUNCT
aiti-14192	242	1	−0.3262	−0.3262	PROPN
aiti-14192	242	2	*	*	PUNCT
aiti-14192	242	3	−0.1332	−0.1332	X
aiti-14192	242	4	*	*	SYM
aiti-14192	242	5	95	95	NUM
aiti-14192	242	6	%	%	NOUN
aiti-14192	242	7	significant	significant	ADJ
aiti-14192	242	8	level	level	NOUN
aiti-14192	242	9	at	at	ADP
aiti-14192	242	10	confidence	confidence	NOUN
aiti-14192	242	11	interval	interval	NOUN
aiti-14192	242	12	between	between	ADP
aiti-14192	242	13	[	[	X
aiti-14192	242	14	-0.1825	-0.1825	X
aiti-14192	242	15	,	,	PUNCT
aiti-14192	242	16	0.1825	0.1825	NUM
aiti-14192	242	17	]	]	PUNCT
aiti-14192	242	18	table	table	NOUN
aiti-14192	242	19	4	4	NUM
aiti-14192	242	20	cross	cross	ADJ
aiti-14192	242	21	-	-	ADJ
aiti-14192	242	22	correlation	correlation	ADJ
aiti-14192	242	23	analysis	analysis	NOUN
aiti-14192	242	24	for	for	ADP
aiti-14192	242	25	the	the	DET
aiti-14192	242	26	third	third	ADJ
aiti-14192	242	27	period	period	NOUN
aiti-14192	242	28	variable	variable	NOUN
aiti-14192	242	29	seta	seta	PROPN
aiti-14192	242	30	setc	setc	NOUN
aiti-14192	242	31	setf	setf	NOUN
aiti-14192	242	32	seti	seti	PROPN
aiti-14192	242	33	setp	setp	PROPN
aiti-14192	242	34	setr	setr	PROPN
aiti-14192	242	35	sets	set	VERB
aiti-14192	242	36	sett	sett	PROPN
aiti-14192	242	37	ggt	ggt	PROPN
aiti-14192	242	38	0.0120	0.0120	NUM
aiti-14192	242	39	0.1542	0.1542	NUM
aiti-14192	242	40	−0.2905	−0.2905	NUM
aiti-14192	242	41	*	*	X
aiti-14192	242	42	−0.0019	−0.0019	X
aiti-14192	242	43	−0.2717	−0.2717	X
aiti-14192	242	44	*	*	X
aiti-14192	242	45	−0.0575	−0.0575	NOUN
aiti-14192	242	46	−0.2533	−0.2533	NUM
aiti-14192	242	47	*	*	PUNCT
aiti-14192	242	48	−0.1090	−0.1090	PRON
aiti-14192	242	49	thb	thb	NOUN
aiti-14192	242	50	−0.1063	−0.1063	PROPN
aiti-14192	242	51	−0.0282	−0.0282	PROPN
aiti-14192	243	1	0.0357	0.0357	NUM
aiti-14192	243	2	0.0775	0.0775	NUM
aiti-14192	243	3	0.0112	0.0112	NUM
aiti-14192	243	4	−0.0612	−0.0612	NOUN
aiti-14192	243	5	−0.0275	−0.0275	X
aiti-14192	243	6	−0.0926	−0.0926	NOUN
aiti-14192	243	7	*	*	SYM
aiti-14192	243	8	95	95	NUM
aiti-14192	243	9	%	%	NOUN
aiti-14192	243	10	significant	significant	ADJ
aiti-14192	243	11	level	level	NOUN
aiti-14192	243	12	at	at	ADP
aiti-14192	243	13	confidence	confidence	NOUN
aiti-14192	243	14	interval	interval	NOUN
aiti-14192	243	15	between	between	ADP
aiti-14192	243	16	[	[	X
aiti-14192	243	17	-0.2340	-0.2340	NOUN
aiti-14192	243	18	,	,	PUNCT
aiti-14192	243	19	0.2340	0.2340	NUM
aiti-14192	243	20	]	]	PUNCT
aiti-14192	243	21	table	table	NOUN
aiti-14192	243	22	5	5	NUM
aiti-14192	243	23	cross	cross	ADJ
aiti-14192	243	24	-	-	ADJ
aiti-14192	243	25	correlation	correlation	ADJ
aiti-14192	243	26	analysis	analysis	NOUN
aiti-14192	243	27	for	for	ADP
aiti-14192	243	28	the	the	DET
aiti-14192	243	29	fourth	fourth	ADJ
aiti-14192	243	30	period	period	NOUN
aiti-14192	243	31	variable	variable	NOUN
aiti-14192	243	32	seta	seta	PROPN
aiti-14192	243	33	setc	setc	NOUN
aiti-14192	243	34	setf	setf	NOUN
aiti-14192	243	35	seti	seti	PROPN
aiti-14192	243	36	setp	setp	PROPN
aiti-14192	243	37	setr	setr	PROPN
aiti-14192	243	38	sets	set	VERB
aiti-14192	243	39	sett	sett	PROPN
aiti-14192	243	40	ggt	ggt	PROPN
aiti-14192	243	41	−0.0243	−0.0243	PROPN
aiti-14192	243	42	−0.0669	−0.0669	NUM
aiti-14192	243	43	0.0369	0.0369	NUM
aiti-14192	244	1	−0.0458	−0.0458	VERB
aiti-14192	244	2	0.0092	0.0092	NUM
aiti-14192	244	3	0.0251	0.0251	NUM
aiti-14192	244	4	0.0399	0.0399	NUM
aiti-14192	244	5	−0.1299	−0.1299	NOUN
aiti-14192	244	6	thb	thb	NOUN
aiti-14192	244	7	−0.1446	−0.1446	X
aiti-14192	244	8	0.008	0.008	NUM
aiti-14192	244	9	−0.2250	−0.2250	NUM
aiti-14192	244	10	*	*	NOUN
aiti-14192	244	11	−0.1362	−0.1362	PROPN
aiti-14192	244	12	−0.2671	−0.2671	PROPN
aiti-14192	244	13	*	*	PUNCT
aiti-14192	244	14	−0.2166	−0.2166	PROPN
aiti-14192	244	15	*	*	PUNCT
aiti-14192	245	1	−0.2699	−0.2699	PROPN
aiti-14192	245	2	*	*	X
aiti-14192	245	3	−0.0260	−0.0260	NUM
aiti-14192	245	4	*	*	SYM
aiti-14192	245	5	95	95	NUM
aiti-14192	245	6	%	%	NOUN
aiti-14192	245	7	significant	significant	ADJ
aiti-14192	245	8	level	level	NOUN
aiti-14192	245	9	at	at	ADP
aiti-14192	245	10	confidence	confidence	NOUN
aiti-14192	245	11	interval	interval	NOUN
aiti-14192	245	12	between	between	ADP
aiti-14192	245	13	[	[	X
aiti-14192	245	14	-0.1543	-0.1543	ADJ
aiti-14192	245	15	,	,	PUNCT
aiti-14192	245	16	0.1543	0.1543	NUM
aiti-14192	245	17	]	]	PUNCT
aiti-14192	245	18	the	the	DET
aiti-14192	245	19	ccf	ccf	PROPN
aiti-14192	245	20	analysis	analysis	NOUN
aiti-14192	245	21	presented	present	VERB
aiti-14192	245	22	in	in	ADP
aiti-14192	245	23	the	the	DET
aiti-14192	245	24	tables	table	NOUN
aiti-14192	245	25	reveals	reveal	VERB
aiti-14192	245	26	significant	significant	ADJ
aiti-14192	245	27	insights	insight	NOUN
aiti-14192	245	28	into	into	ADP
aiti-14192	245	29	the	the	DET
aiti-14192	245	30	relationships	relationship	NOUN
aiti-14192	245	31	between	between	ADP
aiti-14192	245	32	indices	index	NOUN
aiti-14192	245	33	of	of	ADP
aiti-14192	245	34	the	the	DET
aiti-14192	245	35	set	set	NOUN
aiti-14192	245	36	with	with	ADP
aiti-14192	245	37	ggt	ggt	NOUN
aiti-14192	245	38	and	and	CCONJ
aiti-14192	245	39	the	the	DET
aiti-14192	245	40	thb	thb	PROPN
aiti-14192	245	41	across	across	ADP
aiti-14192	245	42	four	four	NUM
aiti-14192	245	43	distinct	distinct	ADJ
aiti-14192	245	44	periods	period	NOUN
aiti-14192	245	45	.	.	PUNCT
aiti-14192	246	1	during	during	ADP
aiti-14192	246	2	the	the	DET
aiti-14192	246	3	first	first	ADJ
aiti-14192	246	4	period	period	NOUN
aiti-14192	246	5	,	,	PUNCT
aiti-14192	246	6	ggt	ggt	PROPN
aiti-14192	246	7	and	and	CCONJ
aiti-14192	246	8	thb	thb	PROPN
aiti-14192	246	9	exhibited	exhibit	VERB
aiti-14192	246	10	significant	significant	ADJ
aiti-14192	246	11	negative	negative	ADJ
aiti-14192	246	12	correlations	correlation	NOUN
aiti-14192	246	13	with	with	ADP
aiti-14192	246	14	all	all	DET
aiti-14192	246	15	sectors	sector	NOUN
aiti-14192	246	16	except	except	SCONJ
aiti-14192	246	17	for	for	ADP
aiti-14192	246	18	the	the	DET
aiti-14192	246	19	relationship	relationship	NOUN
aiti-14192	246	20	between	between	ADP
aiti-14192	246	21	thb	thb	PROPN
aiti-14192	246	22	and	and	CCONJ
aiti-14192	246	23	setr	setr	PROPN
aiti-14192	246	24	.	.	PUNCT
aiti-14192	247	1	in	in	ADP
aiti-14192	247	2	the	the	DET
aiti-14192	247	3	second	second	ADJ
aiti-14192	247	4	period	period	NOUN
aiti-14192	247	5	,	,	PUNCT
aiti-14192	247	6	significant	significant	ADJ
aiti-14192	247	7	correlations	correlation	NOUN
aiti-14192	247	8	of	of	ADP
aiti-14192	247	9	ggt	ggt	PROPN
aiti-14192	247	10	were	be	AUX
aiti-14192	247	11	absent	absent	ADJ
aiti-14192	247	12	,	,	PUNCT
aiti-14192	247	13	while	while	SCONJ
aiti-14192	247	14	thb	thb	PROPN
aiti-14192	247	15	demonstrated	demonstrate	VERB
aiti-14192	247	16	significant	significant	ADJ
aiti-14192	247	17	negative	negative	ADJ
aiti-14192	247	18	correlations	correlation	NOUN
aiti-14192	247	19	with	with	ADP
aiti-14192	247	20	all	all	DET
aiti-14192	247	21	sectors	sector	NOUN
aiti-14192	247	22	except	except	SCONJ
aiti-14192	247	23	for	for	ADP
aiti-14192	247	24	setc	setc	NOUN
aiti-14192	247	25	and	and	CCONJ
aiti-14192	247	26	sett	sett	PROPN
aiti-14192	247	27	.	.	PUNCT
aiti-14192	248	1	the	the	DET
aiti-14192	248	2	third	third	ADJ
aiti-14192	248	3	-	-	PUNCT
aiti-14192	248	4	period	period	NOUN
aiti-14192	248	5	analysis	analysis	NOUN
aiti-14192	248	6	indicated	indicate	VERB
aiti-14192	248	7	that	that	SCONJ
aiti-14192	248	8	ggt	ggt	PROPN
aiti-14192	248	9	had	have	VERB
aiti-14192	248	10	significant	significant	ADJ
aiti-14192	248	11	negative	negative	ADJ
aiti-14192	248	12	correlations	correlation	NOUN
aiti-14192	248	13	with	with	ADP
aiti-14192	248	14	setf	setf	NOUN
aiti-14192	248	15	,	,	PUNCT
aiti-14192	248	16	setp	setp	NOUN
aiti-14192	248	17	,	,	PUNCT
aiti-14192	248	18	and	and	CCONJ
aiti-14192	248	19	sets	set	NOUN
aiti-14192	248	20	,	,	PUNCT
aiti-14192	248	21	while	while	SCONJ
aiti-14192	248	22	thb	thb	PROPN
aiti-14192	248	23	did	do	AUX
aiti-14192	248	24	not	not	PART
aiti-14192	248	25	show	show	VERB
aiti-14192	248	26	significant	significant	ADJ
aiti-14192	248	27	correlations	correlation	NOUN
aiti-14192	248	28	during	during	ADP
aiti-14192	248	29	this	this	DET
aiti-14192	248	30	period	period	NOUN
aiti-14192	248	31	.	.	PUNCT
aiti-14192	249	1	finally	finally	ADV
aiti-14192	249	2	,	,	PUNCT
aiti-14192	249	3	in	in	ADP
aiti-14192	249	4	the	the	DET
aiti-14192	249	5	fourth	fourth	ADJ
aiti-14192	249	6	period	period	NOUN
aiti-14192	249	7	,	,	PUNCT
aiti-14192	249	8	ggt	ggt	PROPN
aiti-14192	249	9	did	do	AUX
aiti-14192	249	10	not	not	PART
aiti-14192	249	11	exhibit	exhibit	VERB
aiti-14192	249	12	significant	significant	ADJ
aiti-14192	249	13	correlations	correlation	NOUN
aiti-14192	249	14	,	,	PUNCT
aiti-14192	249	15	while	while	SCONJ
aiti-14192	249	16	thb	thb	PROPN
aiti-14192	249	17	exhibited	exhibit	VERB
aiti-14192	249	18	significant	significant	ADJ
aiti-14192	249	19	negative	negative	ADJ
aiti-14192	249	20	correlations	correlation	NOUN
aiti-14192	249	21	with	with	ADP
aiti-14192	249	22	setf	setf	NOUN
aiti-14192	249	23	,	,	PUNCT
aiti-14192	249	24	setp	setp	NOUN
aiti-14192	249	25	,	,	PUNCT
aiti-14192	249	26	setr	setr	NOUN
aiti-14192	249	27	,	,	PUNCT
aiti-14192	249	28	and	and	CCONJ
aiti-14192	249	29	sets	set	NOUN
aiti-14192	249	30	.	.	PUNCT
aiti-14192	250	1	4.2	4.2	NUM
aiti-14192	250	2	.	.	PUNCT
aiti-14192	251	1	empirical	empirical	ADJ
aiti-14192	251	2	application	application	NOUN
aiti-14192	251	3	this	this	DET
aiti-14192	251	4	section	section	NOUN
aiti-14192	251	5	evaluates	evaluate	VERB
aiti-14192	251	6	the	the	DET
aiti-14192	251	7	performance	performance	NOUN
aiti-14192	251	8	of	of	ADP
aiti-14192	251	9	the	the	DET
aiti-14192	251	10	optimized	optimize	VERB
aiti-14192	251	11	hybrid	hybrid	NOUN
aiti-14192	251	12	arimax	arimax	NOUN
aiti-14192	251	13	models	model	NOUN
aiti-14192	251	14	with	with	ADP
aiti-14192	251	15	neural	neural	ADJ
aiti-14192	251	16	network	network	NOUN
aiti-14192	251	17	(	(	PUNCT
aiti-14192	251	18	ann	ann	PROPN
aiti-14192	251	19	/	/	SYM
aiti-14192	251	20	ernn	ernn	PROPN
aiti-14192	251	21	)	)	PUNCT
aiti-14192	251	22	by	by	ADP
aiti-14192	251	23	applying	apply	VERB
aiti-14192	251	24	the	the	DET
aiti-14192	251	25	set	set	VERB
aiti-14192	251	26	index	index	NOUN
aiti-14192	251	27	data	datum	NOUN
aiti-14192	251	28	across	across	ADP
aiti-14192	251	29	each	each	DET
aiti-14192	251	30	sector	sector	NOUN
aiti-14192	251	31	with	with	ADP
aiti-14192	251	32	exogenous	exogenous	ADJ
aiti-14192	251	33	variables	variable	NOUN
aiti-14192	251	34	for	for	ADP
aiti-14192	251	35	each	each	DET
aiti-14192	251	36	period	period	NOUN
aiti-14192	251	37	.	.	PUNCT
aiti-14192	252	1	the	the	DET
aiti-14192	252	2	performance	performance	NOUN
aiti-14192	252	3	of	of	ADP
aiti-14192	252	4	the	the	DET
aiti-14192	252	5	optimized	optimize	VERB
aiti-14192	252	6	arimax	arimax	NOUN
aiti-14192	252	7	models	model	NOUN
aiti-14192	252	8	with	with	ADP
aiti-14192	252	9	neural	neural	ADJ
aiti-14192	252	10	network	network	NOUN
aiti-14192	252	11	(	(	PUNCT
aiti-14192	252	12	ann	ann	PROPN
aiti-14192	252	13	/	/	SYM
aiti-14192	252	14	ernn	ernn	PROPN
aiti-14192	252	15	)	)	PUNCT
aiti-14192	252	16	is	be	AUX
aiti-14192	252	17	benchmarked	benchmarke	VERB
aiti-14192	252	18	against	against	ADP
aiti-14192	252	19	traditional	traditional	ADJ
aiti-14192	252	20	arimax	arimax	ADJ
aiti-14192	252	21	models	model	NOUN
aiti-14192	252	22	and	and	CCONJ
aiti-14192	252	23	traditional	traditional	ADJ
aiti-14192	252	24	arimax	arimax	ADJ
aiti-14192	252	25	models	model	NOUN
aiti-14192	252	26	with	with	ADP
aiti-14192	252	27	neural	neural	ADJ
aiti-14192	252	28	network	network	NOUN
aiti-14192	252	29	(	(	PUNCT
aiti-14192	252	30	ann	ann	PROPN
aiti-14192	252	31	/	/	SYM
aiti-14192	252	32	ernn	ernn	PROPN
aiti-14192	252	33	)	)	PUNCT
aiti-14192	252	34	,	,	PUNCT
aiti-14192	252	35	thereby	thereby	ADV
aiti-14192	252	36	highlighting	highlight	VERB
aiti-14192	252	37	keys	key	NOUN
aiti-14192	252	38	from	from	ADP
aiti-14192	252	39	the	the	DET
aiti-14192	252	40	analysis	analysis	NOUN
aiti-14192	252	41	.	.	PUNCT
aiti-14192	253	1	4.2.1	4.2.1	PRON
aiti-14192	253	2	result	result	VERB
aiti-14192	253	3	from	from	ADP
aiti-14192	253	4	the	the	DET
aiti-14192	253	5	first	first	ADJ
aiti-14192	253	6	period	period	NOUN
aiti-14192	253	7	with	with	ADP
aiti-14192	253	8	ggt	ggt	NOUN
aiti-14192	253	9	table	table	NOUN
aiti-14192	253	10	6	6	NUM
aiti-14192	253	11	presents	present	NOUN
aiti-14192	253	12	evidence	evidence	NOUN
aiti-14192	253	13	that	that	SCONJ
aiti-14192	253	14	the	the	DET
aiti-14192	253	15	arimax	arimax	PROPN
aiti-14192	253	16	model	model	NOUN
aiti-14192	253	17	from	from	ADP
aiti-14192	253	18	the	the	DET
aiti-14192	253	19	first	first	ADJ
aiti-14192	253	20	period	period	NOUN
aiti-14192	253	21	with	with	ADP
aiti-14192	253	22	ggt	ggt	NOUN
aiti-14192	253	23	as	as	ADP
aiti-14192	253	24	an	an	DET
aiti-14192	253	25	exogenous	exogenous	ADJ
aiti-14192	253	26	variable	variable	NOUN
aiti-14192	253	27	exhibits	exhibit	VERB
aiti-14192	253	28	significant	significant	ADJ
aiti-14192	253	29	results	result	NOUN
aiti-14192	253	30	in	in	ADP
aiti-14192	253	31	all	all	DET
aiti-14192	253	32	sectors	sector	NOUN
aiti-14192	253	33	including	include	VERB
aiti-14192	253	34	negative	negative	ADJ
aiti-14192	253	35	coefficients	coefficient	NOUN
aiti-14192	253	36	.	.	PUNCT
aiti-14192	254	1	furthermore	furthermore	ADV
aiti-14192	254	2	,	,	PUNCT
aiti-14192	254	3	table	table	NOUN
aiti-14192	254	4	7	7	NUM
aiti-14192	254	5	displays	display	VERB
aiti-14192	254	6	the	the	DET
aiti-14192	254	7	lowest	low	ADJ
aiti-14192	254	8	akaike	akaike	ADJ
aiti-14192	254	9	information	information	NOUN
aiti-14192	254	10	criterion	criterion	NOUN
aiti-14192	254	11	(	(	PUNCT
aiti-14192	254	12	aic	aic	PROPN
aiti-14192	254	13	)	)	PUNCT
aiti-14192	254	14	values	value	NOUN
aiti-14192	254	15	and	and	CCONJ
aiti-14192	254	16	p	p	NOUN
aiti-14192	254	17	-	-	PUNCT
aiti-14192	254	18	value	value	NOUN
aiti-14192	254	19	of	of	ADP
aiti-14192	254	20	the	the	DET
aiti-14192	254	21	ljung	ljung	ADJ
aiti-14192	254	22	-	-	PUNCT
aiti-14192	254	23	box	box	NOUN
aiti-14192	254	24	test	test	NOUN
aiti-14192	254	25	supporting	support	VERB
aiti-14192	254	26	the	the	DET
aiti-14192	254	27	null	null	ADJ
aiti-14192	254	28	hypothesis	hypothesis	NOUN
aiti-14192	254	29	and	and	CCONJ
aiti-14192	254	30	implying	imply	VERB
aiti-14192	254	31	that	that	SCONJ
aiti-14192	254	32	residuals	residual	NOUN
aiti-14192	254	33	of	of	ADP
aiti-14192	254	34	the	the	DET
aiti-14192	254	35	model	model	NOUN
aiti-14192	254	36	are	be	AUX
aiti-14192	254	37	white	white	ADJ
aiti-14192	254	38	noise	noise	NOUN
aiti-14192	254	39	.	.	PUNCT
aiti-14192	255	1	table	table	NOUN
aiti-14192	255	2	8	8	NUM
aiti-14192	255	3	details	detail	NOUN
aiti-14192	255	4	the	the	DET
aiti-14192	255	5	chosen	choose	VERB
aiti-14192	255	6	lag	lag	NOUN
aiti-14192	255	7	and	and	CCONJ
aiti-14192	255	8	hidden	hidden	ADJ
aiti-14192	255	9	layer	layer	NOUN
aiti-14192	255	10	of	of	ADP
aiti-14192	255	11	each	each	DET
aiti-14192	255	12	model	model	NOUN
aiti-14192	255	13	.	.	PUNCT
aiti-14192	256	1	fig	fig	NOUN
aiti-14192	256	2	.	.	PUNCT
aiti-14192	257	1	4	4	NUM
aiti-14192	257	2	presents	present	VERB
aiti-14192	257	3	the	the	DET
aiti-14192	257	4	rmse	rmse	ADJ
aiti-14192	257	5	value	value	NOUN
aiti-14192	257	6	for	for	ADP
aiti-14192	257	7	each	each	DET
aiti-14192	257	8	model	model	NOUN
aiti-14192	257	9	demonstrating	demonstrate	VERB
aiti-14192	257	10	that	that	SCONJ
aiti-14192	257	11	the	the	DET
aiti-14192	257	12	hybrid	hybrid	NOUN
aiti-14192	257	13	model	model	NOUN
aiti-14192	257	14	outperforms	outperform	VERB
aiti-14192	257	15	the	the	DET
aiti-14192	257	16	arimax	arimax	PROPN
aiti-14192	257	17	model	model	NOUN
aiti-14192	257	18	.	.	PUNCT
aiti-14192	258	1	moreover	moreover	ADV
aiti-14192	258	2	,	,	PUNCT
aiti-14192	258	3	every	every	DET
aiti-14192	258	4	optimized	optimize	VERB
aiti-14192	258	5	hybrid	hybrid	NOUN
aiti-14192	258	6	model	model	NOUN
aiti-14192	258	7	yields	yield	VERB
aiti-14192	258	8	better	well	ADJ
aiti-14192	258	9	performance	performance	NOUN
aiti-14192	258	10	compared	compare	VERB
aiti-14192	258	11	to	to	ADP
aiti-14192	258	12	both	both	CCONJ
aiti-14192	258	13	the	the	DET
aiti-14192	258	14	traditional	traditional	ADJ
aiti-14192	258	15	hybrid	hybrid	ADJ
aiti-14192	258	16	model	model	NOUN
aiti-14192	258	17	and	and	CCONJ
aiti-14192	258	18	the	the	DET
aiti-14192	258	19	traditional	traditional	ADJ
aiti-14192	258	20	arimax	arimax	ADJ
aiti-14192	258	21	model	model	NOUN
aiti-14192	258	22	.	.	PUNCT
aiti-14192	259	1	table	table	NOUN
aiti-14192	259	2	6	6	NUM
aiti-14192	259	3	coefficients	coefficient	NOUN
aiti-14192	259	4	and	and	CCONJ
aiti-14192	259	5	p	p	NOUN
aiti-14192	259	6	-	-	PUNCT
aiti-14192	259	7	values	value	NOUN
aiti-14192	259	8	of	of	ADP
aiti-14192	259	9	the	the	DET
aiti-14192	259	10	first	first	ADJ
aiti-14192	259	11	period	period	NOUN
aiti-14192	259	12	arimax	arimax	PROPN
aiti-14192	259	13	model	model	NOUN
aiti-14192	259	14	with	with	ADP
aiti-14192	259	15	google	google	PROPN
aiti-14192	259	16	trends	trend	NOUN
aiti-14192	259	17	index	index	NOUN
aiti-14192	259	18	variable	variable	PROPN
aiti-14192	259	19	seta	seta	PROPN
aiti-14192	259	20	setc	setc	NOUN
aiti-14192	259	21	setf	setf	NOUN
aiti-14192	259	22	seti	seti	PROPN
aiti-14192	259	23	setp	setp	PROPN
aiti-14192	259	24	setr	setr	PROPN
aiti-14192	259	25	sets	set	VERB
aiti-14192	259	26	sett	sett	PROPN
aiti-14192	259	27	ar1	ar1	PROPN
aiti-14192	259	28	0.8771	0.8771	PROPN
aiti-14192	259	29	*	*	PUNCT
aiti-14192	259	30	0.7522	0.7522	NUM
aiti-14192	259	31	*	*	PUNCT
aiti-14192	260	1	1.3238	1.3238	NUM
aiti-14192	260	2	*	*	NOUN
aiti-14192	260	3	0.7791	0.7791	NUM
aiti-14192	260	4	*	*	PUNCT
aiti-14192	260	5	1.4713	1.4713	NUM
aiti-14192	260	6	*	*	NUM
aiti-14192	260	7	−0.5070	−0.5070	NUM
aiti-14192	260	8	−1.2318	−1.2318	NOUN
aiti-14192	260	9	*	*	SYM
aiti-14192	260	10	−0.7022	−0.7022	PROPN
aiti-14192	260	11	*	*	PUNCT
aiti-14192	260	12	ar2	ar2	PROPN
aiti-14192	260	13	−0.9002	−0.9002	X
aiti-14192	260	14	*	*	X
aiti-14192	260	15	−0.58801	−0.58801	NOUN
aiti-14192	260	16	*	*	PUNCT
aiti-14192	261	1	−0.8341	−0.8341	PROPN
aiti-14192	261	2	*	*	X
aiti-14192	261	3	0.3895	0.3895	NUM
aiti-14192	261	4	−0.3124	−0.3124	NUM
aiti-14192	261	5	*	*	PUNCT
aiti-14192	261	6	−0.8062	−0.8062	NOUN
aiti-14192	261	7	*	*	PUNCT
aiti-14192	261	8	ar3	ar3	PROPN
aiti-14192	261	9	0.2865	0.2865	NUM
aiti-14192	261	10	*	*	SYM
aiti-14192	261	11	ma1	ma1	PROPN
aiti-14192	261	12	−1.0171	−1.0171	PROPN
aiti-14192	261	13	*	*	PROPN
aiti-14192	261	14	−0.9111	−0.9111	PROPN
aiti-14192	261	15	*	*	SYM
aiti-14192	261	16	−1.5068	−1.5068	PROPN
aiti-14192	261	17	*	*	X
aiti-14192	261	18	−0.9304	−0.9304	X
aiti-14192	261	19	*	*	PUNCT
aiti-14192	261	20	−1.6086	−1.6086	PROPN
aiti-14192	261	21	*	*	X
aiti-14192	261	22	0.9999	0.9999	NUM
aiti-14192	261	23	*	*	NOUN
aiti-14192	261	24	0.6983	0.6983	NUM
aiti-14192	261	25	*	*	PUNCT
aiti-14192	261	26	ma2	ma2	NOUN
aiti-14192	261	27	0.9999	0.9999	NUM
aiti-14192	261	28	*	*	NOUN
aiti-14192	262	1	0.2680	0.2680	NUM
aiti-14192	262	2	0.8323	0.8323	NUM
aiti-14192	262	3	*	*	PUNCT
aiti-14192	262	4	0.2153	0.2153	NUM
aiti-14192	262	5	*	*	PUNCT
aiti-14192	262	6	0.9999	0.9999	NUM
aiti-14192	262	7	*	*	NUM
aiti-14192	262	8	0.3859	0.3859	NUM
aiti-14192	263	1	0.8503	0.8503	NUM
aiti-14192	263	2	*	*	SYM
aiti-14192	263	3	ma3	ma3	PROPN
aiti-14192	263	4	−0.4460	−0.4460	PROPN
aiti-14192	263	5	−0.1719	−0.1719	PROPN
aiti-14192	263	6	ggt	ggt	NOUN
aiti-14192	263	7	−0.0307	−0.0307	PROPN
aiti-14192	263	8	*	*	PUNCT
aiti-14192	264	1	−0.0165	−0.0165	X
aiti-14192	264	2	*	*	SYM
aiti-14192	264	3	−0.0388	−0.0388	X
aiti-14192	264	4	*	*	PUNCT
aiti-14192	264	5	−0.0385	−0.0385	PROPN
aiti-14192	264	6	*	*	PUNCT
aiti-14192	264	7	−0.0348	−0.0348	PROPN
aiti-14192	264	8	*	*	PUNCT
aiti-14192	264	9	−0.0319	−0.0319	PROPN
aiti-14192	264	10	*	*	PUNCT
aiti-14192	265	1	−0.0316	−0.0316	PROPN
aiti-14192	265	2	*	*	PUNCT
aiti-14192	265	3	−0.0189	−0.0189	NUM
aiti-14192	265	4	*	*	PUNCT
aiti-14192	265	5	*	*	PUNCT
aiti-14192	265	6	significant	significant	ADJ
aiti-14192	265	7	at	at	ADP
aiti-14192	265	8	0.05	0.05	NUM
aiti-14192	265	9	94	94	NUM
aiti-14192	265	10	advances	advance	NOUN
aiti-14192	265	11	in	in	ADP
aiti-14192	265	12	technology	technology	NOUN
aiti-14192	265	13	innovation	innovation	NOUN
aiti-14192	265	14	,	,	PUNCT
aiti-14192	265	15	vol	vol	NOUN
aiti-14192	265	16	.	.	PROPN
aiti-14192	266	1	10	10	NUM
aiti-14192	266	2	,	,	PUNCT
aiti-14192	266	3	no	no	INTJ
aiti-14192	266	4	.	.	NOUN
aiti-14192	266	5	2	2	NUM
aiti-14192	266	6	,	,	PUNCT
aiti-14192	266	7	2025	2025	NUM
aiti-14192	266	8	,	,	PUNCT
aiti-14192	266	9	pp	pp	ADJ
aiti-14192	266	10	.	.	PUNCT
aiti-14192	266	11	85	85	NUM
aiti-14192	266	12	-	-	SYM
aiti-14192	266	13	101	101	NUM
aiti-14192	266	14	table	table	NOUN
aiti-14192	266	15	7	7	NUM
aiti-14192	266	16	akaike	akaike	ADJ
aiti-14192	266	17	information	information	NOUN
aiti-14192	266	18	criterion	criterion	NOUN
aiti-14192	266	19	(	(	PUNCT
aiti-14192	266	20	aic	aic	PROPN
aiti-14192	266	21	)	)	PUNCT
aiti-14192	266	22	values	value	NOUN
aiti-14192	266	23	and	and	CCONJ
aiti-14192	266	24	ljung	ljung	ADJ
aiti-14192	266	25	-	-	PUNCT
aiti-14192	266	26	box	box	NOUN
aiti-14192	266	27	test	test	NOUN
aiti-14192	266	28	p	p	NOUN
aiti-14192	266	29	-	-	PUNCT
aiti-14192	266	30	values	value	NOUN
aiti-14192	266	31	for	for	ADP
aiti-14192	266	32	arimax	arimax	ADJ
aiti-14192	266	33	models	model	NOUN
aiti-14192	266	34	with	with	ADP
aiti-14192	266	35	google	google	PROPN
aiti-14192	266	36	trends	trend	NOUN
aiti-14192	266	37	index	index	NOUN
aiti-14192	266	38	in	in	ADP
aiti-14192	266	39	the	the	DET
aiti-14192	266	40	first	first	ADJ
aiti-14192	266	41	period	period	NOUN
aiti-14192	266	42	technique	technique	NOUN
aiti-14192	266	43	seta	seta	PROPN
aiti-14192	266	44	setc	setc	NOUN
aiti-14192	266	45	setf	setf	NOUN
aiti-14192	266	46	seti	seti	PROPN
aiti-14192	266	47	setp	setp	PROPN
aiti-14192	266	48	setr	setr	PROPN
aiti-14192	266	49	sets	set	VERB
aiti-14192	266	50	sett	sett	PROPN
aiti-14192	266	51	aic	aic	PROPN
aiti-14192	266	52	−590.294	−590.294	PROPN
aiti-14192	266	53	−777.892	−777.892	VERB
aiti-14192	266	54	−540.771	−540.771	NUM
aiti-14192	266	55	−522.827	−522.827	PROPN
aiti-14192	266	56	−591.543	−591.543	PROPN
aiti-14192	266	57	−506.495	−506.495	PROPN
aiti-14192	266	58	−593.228	−593.228	PROPN
aiti-14192	266	59	−629.452	−629.452	PROPN
aiti-14192	266	60	ljung	ljung	PROPN
aiti-14192	266	61	-	-	PUNCT
aiti-14192	266	62	box	box	NOUN
aiti-14192	266	63	0.2553	0.2553	NUM
aiti-14192	266	64	0.84331	0.84331	NUM
aiti-14192	266	65	0.9837	0.9837	NUM
aiti-14192	266	66	0.9813	0.9813	NUM
aiti-14192	266	67	0.462	0.462	NUM
aiti-14192	266	68	0.9996	0.9996	NUM
aiti-14192	266	69	0.9707	0.9707	NUM
aiti-14192	266	70	0.8894	0.8894	NUM
aiti-14192	266	71	table	table	NOUN
aiti-14192	266	72	8	8	NUM
aiti-14192	266	73	configuration	configuration	NOUN
aiti-14192	266	74	of	of	ADP
aiti-14192	266	75	lags	lag	NOUN
aiti-14192	266	76	and	and	CCONJ
aiti-14192	266	77	hidden	hidden	ADJ
aiti-14192	266	78	layers	layer	NOUN
aiti-14192	266	79	in	in	ADP
aiti-14192	266	80	neural	neural	ADJ
aiti-14192	266	81	network	network	NOUN
aiti-14192	266	82	models	model	NOUN
aiti-14192	266	83	with	with	ADP
aiti-14192	266	84	google	google	PROPN
aiti-14192	266	85	trends	trend	NOUN
aiti-14192	266	86	index	index	NOUN
aiti-14192	266	87	for	for	ADP
aiti-14192	266	88	the	the	DET
aiti-14192	266	89	first	first	ADJ
aiti-14192	266	90	period	period	NOUN
aiti-14192	266	91	technique	technique	NOUN
aiti-14192	266	92	lags	lag	NOUN
aiti-14192	266	93	and	and	CCONJ
aiti-14192	266	94	hidden	hide	VERB
aiti-14192	266	95	layers	layer	NOUN
aiti-14192	266	96	seta	seta	PROPN
aiti-14192	266	97	setc	setc	NOUN
aiti-14192	266	98	setf	setf	NOUN
aiti-14192	266	99	seti	seti	PROPN
aiti-14192	266	100	setp	setp	PROPN
aiti-14192	266	101	setr	setr	PROPN
aiti-14192	266	102	sets	set	VERB
aiti-14192	266	103	sett	sett	PROPN
aiti-14192	266	104	traditional	traditional	PROPN
aiti-14192	266	105	ann	ann	PROPN
aiti-14192	266	106	lags	lag	VERB
aiti-14192	266	107	1	1	NUM
aiti-14192	266	108	1	1	NUM
aiti-14192	266	109	1	1	NUM
aiti-14192	266	110	1	1	NUM
aiti-14192	266	111	1	1	NUM
aiti-14192	266	112	1	1	NUM
aiti-14192	266	113	1	1	NUM
aiti-14192	266	114	1	1	NUM
aiti-14192	266	115	hidden	hidden	ADJ
aiti-14192	266	116	layers	layer	NOUN
aiti-14192	266	117	23	23	NUM
aiti-14192	266	118	7	7	NUM
aiti-14192	266	119	32	32	NUM
aiti-14192	266	120	17	17	NUM
aiti-14192	266	121	5	5	NUM
aiti-14192	266	122	17	17	NUM
aiti-14192	266	123	91	91	NUM
aiti-14192	266	124	7	7	NUM
aiti-14192	266	125	optimized	optimize	VERB
aiti-14192	266	126	ann	ann	PROPN
aiti-14192	266	127	lags	lag	VERB
aiti-14192	266	128	4	4	NUM
aiti-14192	266	129	1	1	NUM
aiti-14192	266	130	1	1	NUM
aiti-14192	266	131	4	4	NUM
aiti-14192	266	132	1	1	NUM
aiti-14192	266	133	3	3	NUM
aiti-14192	266	134	2	2	NUM
aiti-14192	266	135	3	3	NUM
aiti-14192	266	136	hidden	hide	VERB
aiti-14192	266	137	layers	layer	NOUN
aiti-14192	266	138	6	6	NUM
aiti-14192	266	139	71	71	NUM
aiti-14192	266	140	70	70	NUM
aiti-14192	266	141	30	30	NUM
aiti-14192	266	142	45	45	NUM
aiti-14192	266	143	52	52	NUM
aiti-14192	266	144	10	10	NUM
aiti-14192	266	145	42	42	NUM
aiti-14192	266	146	traditional	traditional	ADJ
aiti-14192	266	147	ernn	ernn	NOUN
aiti-14192	266	148	lags	lag	VERB
aiti-14192	266	149	1	1	NUM
aiti-14192	266	150	1	1	NUM
aiti-14192	266	151	1	1	NUM
aiti-14192	266	152	1	1	NUM
aiti-14192	266	153	1	1	NUM
aiti-14192	266	154	1	1	NUM
aiti-14192	266	155	1	1	NUM
aiti-14192	266	156	1	1	NUM
aiti-14192	266	157	hidden	hidden	ADJ
aiti-14192	266	158	layers	layer	NOUN
aiti-14192	266	159	59	59	NUM
aiti-14192	266	160	88	88	NUM
aiti-14192	266	161	93	93	NUM
aiti-14192	266	162	90	90	NUM
aiti-14192	266	163	80	80	NUM
aiti-14192	266	164	82	82	NUM
aiti-14192	266	165	93	93	NUM
aiti-14192	266	166	59	59	NUM
aiti-14192	266	167	optimized	optimize	VERB
aiti-14192	266	168	ernn	ernn	NOUN
aiti-14192	266	169	lags	lag	VERB
aiti-14192	266	170	1	1	NUM
aiti-14192	266	171	1	1	NUM
aiti-14192	266	172	2	2	NUM
aiti-14192	266	173	1	1	NUM
aiti-14192	266	174	4	4	NUM
aiti-14192	266	175	5	5	NUM
aiti-14192	266	176	2	2	NUM
aiti-14192	266	177	2	2	NUM
aiti-14192	266	178	hidden	hide	VERB
aiti-14192	266	179	layers	layer	NOUN
aiti-14192	266	180	46	46	NUM
aiti-14192	266	181	40	40	NUM
aiti-14192	266	182	63	63	NUM
aiti-14192	266	183	52	52	NUM
aiti-14192	266	184	97	97	NUM
aiti-14192	266	185	58	58	NUM
aiti-14192	266	186	43	43	NUM
aiti-14192	266	187	89	89	NUM
aiti-14192	266	188	fig	fig	NOUN
aiti-14192	266	189	.	.	PUNCT
aiti-14192	267	1	4	4	NUM
aiti-14192	267	2	performance	performance	NOUN
aiti-14192	267	3	comparison	comparison	NOUN
aiti-14192	267	4	of	of	ADP
aiti-14192	267	5	models	model	NOUN
aiti-14192	267	6	using	use	VERB
aiti-14192	267	7	the	the	DET
aiti-14192	267	8	google	google	PROPN
aiti-14192	267	9	trends	trend	NOUN
aiti-14192	267	10	index	index	NOUN
aiti-14192	267	11	as	as	ADP
aiti-14192	267	12	an	an	DET
aiti-14192	267	13	exogenous	exogenous	ADJ
aiti-14192	267	14	variable	variable	NOUN
aiti-14192	267	15	in	in	ADP
aiti-14192	267	16	the	the	DET
aiti-14192	267	17	first	first	ADJ
aiti-14192	267	18	period	period	NOUN
aiti-14192	267	19	4.2.2	4.2.2	NUM
aiti-14192	267	20	result	result	NOUN
aiti-14192	267	21	from	from	ADP
aiti-14192	267	22	the	the	DET
aiti-14192	267	23	first	first	ADJ
aiti-14192	267	24	period	period	NOUN
aiti-14192	267	25	with	with	ADP
aiti-14192	267	26	thb	thb	PROPN
aiti-14192	267	27	table	table	NOUN
aiti-14192	267	28	9	9	NUM
aiti-14192	267	29	shows	show	VERB
aiti-14192	267	30	that	that	SCONJ
aiti-14192	267	31	except	except	SCONJ
aiti-14192	267	32	for	for	ADP
aiti-14192	267	33	setr	setr	NOUN
aiti-14192	267	34	the	the	DET
aiti-14192	267	35	arimax	arimax	PROPN
aiti-14192	267	36	model	model	NOUN
aiti-14192	267	37	in	in	ADP
aiti-14192	267	38	the	the	DET
aiti-14192	267	39	first	first	ADJ
aiti-14192	267	40	period	period	NOUN
aiti-14192	267	41	with	with	ADP
aiti-14192	267	42	thb	thb	PROPN
aiti-14192	267	43	as	as	ADP
aiti-14192	267	44	an	an	DET
aiti-14192	267	45	exogenous	exogenous	ADJ
aiti-14192	267	46	variable	variable	NOUN
aiti-14192	267	47	is	be	AUX
aiti-14192	267	48	significant	significant	ADJ
aiti-14192	267	49	across	across	ADP
aiti-14192	267	50	all	all	DET
aiti-14192	267	51	sectors	sector	NOUN
aiti-14192	267	52	.	.	PUNCT
aiti-14192	268	1	table	table	NOUN
aiti-14192	268	2	10	10	NUM
aiti-14192	268	3	highlights	highlight	NOUN
aiti-14192	268	4	the	the	DET
aiti-14192	268	5	model	model	NOUN
aiti-14192	268	6	with	with	ADP
aiti-14192	268	7	the	the	DET
aiti-14192	268	8	lowest	low	ADJ
aiti-14192	268	9	aic	aic	PROPN
aiti-14192	268	10	,	,	PUNCT
aiti-14192	268	11	along	along	ADP
aiti-14192	268	12	with	with	ADP
aiti-14192	268	13	the	the	DET
aiti-14192	268	14	p	p	NOUN
aiti-14192	268	15	-	-	PUNCT
aiti-14192	268	16	value	value	NOUN
aiti-14192	268	17	of	of	ADP
aiti-14192	268	18	the	the	DET
aiti-14192	268	19	ljung	ljung	ADJ
aiti-14192	268	20	-	-	PUNCT
aiti-14192	268	21	box	box	NOUN
aiti-14192	268	22	test	test	NOUN
aiti-14192	268	23	,	,	PUNCT
aiti-14192	268	24	confirming	confirm	VERB
aiti-14192	268	25	white	white	ADJ
aiti-14192	268	26	noise	noise	NOUN
aiti-14192	268	27	in	in	ADP
aiti-14192	268	28	the	the	DET
aiti-14192	268	29	residuals	residual	NOUN
aiti-14192	268	30	.	.	PUNCT
aiti-14192	269	1	table	table	NOUN
aiti-14192	269	2	11	11	NUM
aiti-14192	269	3	presents	present	VERB
aiti-14192	269	4	the	the	DET
aiti-14192	269	5	hybrid	hybrid	ADJ
aiti-14192	269	6	arimax	arimax	ADJ
aiti-14192	269	7	-	-	PUNCT
aiti-14192	269	8	ernn	ernn	PROPN
aiti-14192	269	9	model	model	NOUN
aiti-14192	269	10	for	for	ADP
aiti-14192	269	11	seta	seta	PROPN
aiti-14192	269	12	and	and	CCONJ
aiti-14192	269	13	setp	setp	PROPN
aiti-14192	269	14	,	,	PUNCT
aiti-14192	269	15	which	which	PRON
aiti-14192	269	16	has	have	VERB
aiti-14192	269	17	identical	identical	ADJ
aiti-14192	269	18	lag	lag	NOUN
aiti-14192	269	19	and	and	CCONJ
aiti-14192	269	20	hidden	hide	VERB
aiti-14192	269	21	layer	layer	NOUN
aiti-14192	269	22	configurations	configuration	NOUN
aiti-14192	269	23	in	in	ADP
aiti-14192	269	24	both	both	CCONJ
aiti-14192	269	25	traditional	traditional	ADJ
aiti-14192	269	26	and	and	CCONJ
aiti-14192	269	27	optimized	optimize	VERB
aiti-14192	269	28	modes	mode	NOUN
aiti-14192	269	29	.	.	PUNCT
aiti-14192	270	1	the	the	DET
aiti-14192	270	2	results	result	NOUN
aiti-14192	270	3	in	in	ADP
aiti-14192	270	4	fig	fig	NOUN
aiti-14192	270	5	.	.	PUNCT
aiti-14192	271	1	5	5	NUM
aiti-14192	271	2	demonstrate	demonstrate	VERB
aiti-14192	271	3	that	that	SCONJ
aiti-14192	271	4	the	the	DET
aiti-14192	271	5	arimax	arimax	ADJ
aiti-14192	271	6	-	-	PUNCT
aiti-14192	271	7	ernn	ernn	PROPN
aiti-14192	271	8	model	model	NOUN
aiti-14192	271	9	for	for	ADP
aiti-14192	271	10	seta	seta	PROPN
aiti-14192	271	11	and	and	CCONJ
aiti-14192	271	12	setp	setp	NOUN
aiti-14192	271	13	yields	yield	NOUN
aiti-14192	271	14	identical	identical	ADJ
aiti-14192	271	15	performance	performance	NOUN
aiti-14192	271	16	in	in	ADP
aiti-14192	271	17	both	both	CCONJ
aiti-14192	271	18	traditional	traditional	ADJ
aiti-14192	271	19	and	and	CCONJ
aiti-14192	271	20	optimized	optimize	VERB
aiti-14192	271	21	configurations	configuration	NOUN
aiti-14192	271	22	.	.	PUNCT
aiti-14192	272	1	additionally	additionally	ADV
aiti-14192	272	2	,	,	PUNCT
aiti-14192	272	3	the	the	DET
aiti-14192	272	4	hybrid	hybrid	NOUN
aiti-14192	272	5	model	model	NOUN
aiti-14192	272	6	consistently	consistently	ADV
aiti-14192	272	7	outperforms	outperform	VERB
aiti-14192	272	8	the	the	DET
aiti-14192	272	9	arimax	arimax	ADJ
aiti-14192	272	10	model	model	NOUN
aiti-14192	272	11	.	.	PUNCT
aiti-14192	273	1	the	the	DET
aiti-14192	273	2	optimized	optimize	VERB
aiti-14192	273	3	hybrid	hybrid	NOUN
aiti-14192	273	4	model	model	NOUN
aiti-14192	273	5	surpasses	surpass	VERB
aiti-14192	273	6	both	both	CCONJ
aiti-14192	273	7	the	the	DET
aiti-14192	273	8	traditional	traditional	ADJ
aiti-14192	273	9	hybrid	hybrid	ADJ
aiti-14192	273	10	model	model	NOUN
aiti-14192	273	11	and	and	CCONJ
aiti-14192	273	12	the	the	DET
aiti-14192	273	13	traditional	traditional	ADJ
aiti-14192	273	14	arimax	arimax	ADJ
aiti-14192	273	15	model	model	NOUN
aiti-14192	273	16	in	in	ADP
aiti-14192	273	17	all	all	DET
aiti-14192	273	18	optimized	optimize	VERB
aiti-14192	273	19	configurations	configuration	NOUN
aiti-14192	273	20	.	.	PUNCT
aiti-14192	274	1	advances	advance	NOUN
aiti-14192	274	2	in	in	ADP
aiti-14192	274	3	technology	technology	NOUN
aiti-14192	274	4	innovation	innovation	NOUN
aiti-14192	274	5	,	,	PUNCT
aiti-14192	274	6	vol	vol	NOUN
aiti-14192	274	7	.	.	PROPN
aiti-14192	275	1	10	10	NUM
aiti-14192	275	2	,	,	PUNCT
aiti-14192	275	3	no	no	INTJ
aiti-14192	275	4	.	.	NOUN
aiti-14192	275	5	2	2	NUM
aiti-14192	275	6	,	,	PUNCT
aiti-14192	275	7	2025	2025	NUM
aiti-14192	275	8	,	,	PUNCT
aiti-14192	275	9	pp	pp	ADJ
aiti-14192	275	10	.	.	PUNCT
aiti-14192	275	11	85	85	NUM
aiti-14192	275	12	-	-	SYM
aiti-14192	275	13	101	101	NUM
aiti-14192	275	14	95	95	NUM
aiti-14192	275	15	table	table	NOUN
aiti-14192	275	16	9	9	NUM
aiti-14192	275	17	coefficients	coefficient	NOUN
aiti-14192	275	18	and	and	CCONJ
aiti-14192	275	19	p	p	NOUN
aiti-14192	275	20	-	-	PUNCT
aiti-14192	275	21	values	value	NOUN
aiti-14192	275	22	of	of	ADP
aiti-14192	275	23	the	the	DET
aiti-14192	275	24	first	first	ADJ
aiti-14192	275	25	period	period	NOUN
aiti-14192	275	26	arimax	arimax	PROPN
aiti-14192	275	27	model	model	NOUN
aiti-14192	275	28	with	with	ADP
aiti-14192	275	29	thai	thai	PROPN
aiti-14192	275	30	bath	bath	NOUN
aiti-14192	275	31	(	(	PUNCT
aiti-14192	275	32	thb	thb	NOUN
aiti-14192	275	33	)	)	PUNCT
aiti-14192	275	34	variable	variable	NOUN
aiti-14192	275	35	seta	seta	PROPN
aiti-14192	275	36	setc	setc	NOUN
aiti-14192	275	37	setf	setf	NOUN
aiti-14192	275	38	seti	seti	PROPN
aiti-14192	275	39	setp	setp	PROPN
aiti-14192	275	40	sets	set	VERB
aiti-14192	275	41	sett	sett	PROPN
aiti-14192	275	42	ar1	ar1	PROPN
aiti-14192	275	43	−0.9607	−0.9607	PROPN
aiti-14192	275	44	*	*	PROPN
aiti-14192	276	1	1.0241	1.0241	NUM
aiti-14192	276	2	*	*	SYM
aiti-14192	276	3	0.6415	0.6415	NUM
aiti-14192	276	4	*	*	PUNCT
aiti-14192	276	5	−1.2464	−1.2464	X
aiti-14192	276	6	*	*	PUNCT
aiti-14192	276	7	−1.7152	−1.7152	NOUN
aiti-14192	276	8	*	*	X
aiti-14192	276	9	−1.1349	−1.1349	NUM
aiti-14192	276	10	*	*	SYM
aiti-14192	276	11	−0.9164	−0.9164	NOUN
aiti-14192	276	12	*	*	PUNCT
aiti-14192	276	13	ar2	ar2	PROPN
aiti-14192	276	14	−0.1618	−0.1618	X
aiti-14192	276	15	−0.7139	−0.7139	PROPN
aiti-14192	276	16	*	*	PROPN
aiti-14192	276	17	0.1651	0.1651	NUM
aiti-14192	276	18	*	*	PUNCT
aiti-14192	276	19	−0.9359	−0.9359	NUM
aiti-14192	276	20	*	*	PUNCT
aiti-14192	276	21	−0.8275	−0.8275	X
aiti-14192	276	22	*	*	X
aiti-14192	276	23	−0.2893	−0.2893	NOUN
aiti-14192	276	24	*	*	X
aiti-14192	276	25	−0.8016	−0.8016	PROPN
aiti-14192	276	26	*	*	PROPN
aiti-14192	276	27	ma1	ma1	NOUN
aiti-14192	276	28	0.8590	0.8590	NUM
aiti-14192	276	29	*	*	SYM
aiti-14192	276	30	−1.1832	−1.1832	NOUN
aiti-14192	276	31	*	*	X
aiti-14192	276	32	−0.7330	−0.7330	X
aiti-14192	276	33	*	*	PUNCT
aiti-14192	276	34	1.1882	1.1882	NUM
aiti-14192	276	35	*	*	SYM
aiti-14192	276	36	1.6998	1.6998	NUM
aiti-14192	276	37	*	*	NOUN
aiti-14192	276	38	0.9230	0.9230	NUM
aiti-14192	276	39	*	*	PUNCT
aiti-14192	277	1	0.9902	0.9902	NUM
aiti-14192	277	2	*	*	PUNCT
aiti-14192	277	3	ma2	ma2	NOUN
aiti-14192	277	4	0.9999	0.9999	NUM
aiti-14192	277	5	*	*	NOUN
aiti-14192	277	6	0.9999	0.9999	NUM
aiti-14192	277	7	*	*	NOUN
aiti-14192	277	8	0.7553	0.7553	NUM
aiti-14192	277	9	*	*	SYM
aiti-14192	277	10	0.9999	0.9999	NUM
aiti-14192	277	11	*	*	PUNCT
aiti-14192	277	12	thb	thb	PROPN
aiti-14192	277	13	−1.6612	−1.6612	NOUN
aiti-14192	277	14	*	*	NOUN
aiti-14192	277	15	−0.5689	−0.5689	NOUN
aiti-14192	277	16	*	*	PUNCT
aiti-14192	277	17	−1.4272	−1.4272	NOUN
aiti-14192	277	18	*	*	SYM
aiti-14192	277	19	−1.4624	−1.4624	PROPN
aiti-14192	277	20	*	*	PUNCT
aiti-14192	277	21	−1.6896	−1.6896	PROPN
aiti-14192	277	22	*	*	X
aiti-14192	277	23	−1.8257	−1.8257	PROPN
aiti-14192	277	24	*	*	X
aiti-14192	277	25	−1.1215	−1.1215	NOUN
aiti-14192	277	26	*	*	PUNCT
aiti-14192	277	27	*	*	PUNCT
aiti-14192	277	28	95	95	NUM
aiti-14192	277	29	%	%	NOUN
aiti-14192	277	30	significant	significant	ADJ
aiti-14192	277	31	level	level	NOUN
aiti-14192	277	32	table	table	NOUN
aiti-14192	277	33	10	10	NUM
aiti-14192	277	34	akaike	akaike	ADJ
aiti-14192	277	35	information	information	NOUN
aiti-14192	277	36	criterion	criterion	NOUN
aiti-14192	277	37	(	(	PUNCT
aiti-14192	277	38	aic	aic	PROPN
aiti-14192	277	39	)	)	PUNCT
aiti-14192	277	40	values	value	NOUN
aiti-14192	277	41	and	and	CCONJ
aiti-14192	277	42	ljung	ljung	ADJ
aiti-14192	277	43	-	-	PUNCT
aiti-14192	277	44	box	box	NOUN
aiti-14192	277	45	test	test	NOUN
aiti-14192	277	46	p	p	NOUN
aiti-14192	277	47	-	-	PUNCT
aiti-14192	277	48	values	value	NOUN
aiti-14192	277	49	for	for	ADP
aiti-14192	277	50	arimax	arimax	ADJ
aiti-14192	277	51	models	model	NOUN
aiti-14192	277	52	with	with	ADP
aiti-14192	277	53	thai	thai	ADJ
aiti-14192	277	54	bath	bath	NOUN
aiti-14192	277	55	in	in	ADP
aiti-14192	277	56	the	the	DET
aiti-14192	277	57	first	first	ADJ
aiti-14192	277	58	period	period	NOUN
aiti-14192	277	59	technique	technique	NOUN
aiti-14192	277	60	seta	seta	PROPN
aiti-14192	277	61	setc	setc	NOUN
aiti-14192	277	62	setf	setf	NOUN
aiti-14192	277	63	seti	seti	PROPN
aiti-14192	277	64	setp	setp	PROPN
aiti-14192	277	65	sets	set	VERB
aiti-14192	277	66	sett	sett	PROPN
aiti-14192	277	67	aic	aic	PROPN
aiti-14192	277	68	−584.175	−584.175	PROPN
aiti-14192	277	69	−770.001	−770.001	NOUN
aiti-14192	278	1	−529.157	−529.157	PROPN
aiti-14192	278	2	−523.496	−523.496	PROPN
aiti-14192	278	3	−588.622	−588.622	PROPN
aiti-14192	278	4	−590.41	−590.41	PROPN
aiti-14192	278	5	−628.809	−628.809	PROPN
aiti-14192	278	6	ljung	ljung	PROPN
aiti-14192	278	7	-	-	PUNCT
aiti-14192	278	8	box	box	NOUN
aiti-14192	278	9	0.874535	0.874535	NUM
aiti-14192	278	10	0.791028	0.791028	NUM
aiti-14192	278	11	0.915481	0.915481	NUM
aiti-14192	278	12	0.271637	0.271637	NUM
aiti-14192	278	13	0.981394	0.981394	NUM
aiti-14192	278	14	0.782526	0.782526	NUM
aiti-14192	278	15	0.696605	0.696605	NUM
aiti-14192	278	16	table	table	NOUN
aiti-14192	278	17	11	11	NUM
aiti-14192	278	18	configuration	configuration	NOUN
aiti-14192	278	19	of	of	ADP
aiti-14192	278	20	lags	lag	NOUN
aiti-14192	278	21	and	and	CCONJ
aiti-14192	278	22	hidden	hidden	ADJ
aiti-14192	278	23	layers	layer	NOUN
aiti-14192	278	24	in	in	ADP
aiti-14192	278	25	neural	neural	ADJ
aiti-14192	278	26	network	network	NOUN
aiti-14192	278	27	models	model	NOUN
aiti-14192	278	28	with	with	ADP
aiti-14192	278	29	thai	thai	ADJ
aiti-14192	278	30	bath	bath	NOUN
aiti-14192	278	31	for	for	ADP
aiti-14192	278	32	the	the	DET
aiti-14192	278	33	first	first	ADJ
aiti-14192	278	34	period	period	NOUN
aiti-14192	278	35	technique	technique	NOUN
aiti-14192	278	36	lags	lag	NOUN
aiti-14192	278	37	and	and	CCONJ
aiti-14192	278	38	hidden	hide	VERB
aiti-14192	278	39	layers	layer	NOUN
aiti-14192	278	40	seta	seta	PROPN
aiti-14192	278	41	setc	setc	NOUN
aiti-14192	278	42	setf	setf	NOUN
aiti-14192	278	43	seti	seti	PROPN
aiti-14192	278	44	setp	setp	PROPN
aiti-14192	278	45	sets	set	VERB
aiti-14192	278	46	sett	sett	PROPN
aiti-14192	278	47	traditional	traditional	PROPN
aiti-14192	278	48	ann	ann	PROPN
aiti-14192	278	49	lags	lag	VERB
aiti-14192	278	50	1	1	NUM
aiti-14192	278	51	1	1	NUM
aiti-14192	278	52	1	1	NUM
aiti-14192	278	53	1	1	NUM
aiti-14192	278	54	1	1	NUM
aiti-14192	278	55	1	1	NUM
aiti-14192	278	56	1	1	NUM
aiti-14192	278	57	hidden	hidden	ADJ
aiti-14192	278	58	layers	layer	NOUN
aiti-14192	278	59	8	8	NUM
aiti-14192	278	60	16	16	NUM
aiti-14192	278	61	7	7	NUM
aiti-14192	278	62	47	47	NUM
aiti-14192	278	63	5	5	NUM
aiti-14192	278	64	91	91	NUM
aiti-14192	278	65	7	7	NUM
aiti-14192	278	66	optimized	optimize	VERB
aiti-14192	278	67	ann	ann	PROPN
aiti-14192	278	68	lags	lag	VERB
aiti-14192	278	69	1	1	NUM
aiti-14192	278	70	4	4	NUM
aiti-14192	278	71	2	2	NUM
aiti-14192	278	72	2	2	NUM
aiti-14192	278	73	1	1	NUM
aiti-14192	278	74	3	3	NUM
aiti-14192	278	75	2	2	NUM
aiti-14192	278	76	hidden	hide	VERB
aiti-14192	278	77	layers	layer	NOUN
aiti-14192	278	78	17	17	NUM
aiti-14192	278	79	61	61	NUM
aiti-14192	278	80	10	10	NUM
aiti-14192	278	81	85	85	NUM
aiti-14192	278	82	51	51	NUM
aiti-14192	278	83	75	75	NUM
aiti-14192	278	84	96	96	NUM
aiti-14192	278	85	traditional	traditional	ADJ
aiti-14192	278	86	ernn	ernn	NOUN
aiti-14192	278	87	lags	lag	VERB
aiti-14192	278	88	1	1	NUM
aiti-14192	278	89	1	1	NUM
aiti-14192	278	90	1	1	NUM
aiti-14192	278	91	1	1	NUM
aiti-14192	278	92	1	1	NUM
aiti-14192	278	93	1	1	NUM
aiti-14192	278	94	1	1	NUM
aiti-14192	278	95	hidden	hidden	ADJ
aiti-14192	278	96	layers	layer	NOUN
aiti-14192	278	97	59	59	NUM
aiti-14192	278	98	88	88	NUM
aiti-14192	278	99	95	95	NUM
aiti-14192	278	100	85	85	NUM
aiti-14192	278	101	59	59	NUM
aiti-14192	278	102	93	93	NUM
aiti-14192	278	103	59	59	NUM
aiti-14192	278	104	optimized	optimize	VERB
aiti-14192	278	105	ernn	ernn	NOUN
aiti-14192	278	106	lags	lag	VERB
aiti-14192	278	107	1	1	NUM
aiti-14192	278	108	3	3	NUM
aiti-14192	278	109	1	1	NUM
aiti-14192	278	110	2	2	NUM
aiti-14192	278	111	1	1	NUM
aiti-14192	278	112	1	1	NUM
aiti-14192	278	113	2	2	NUM
aiti-14192	278	114	hidden	hide	VERB
aiti-14192	278	115	layers	layer	NOUN
aiti-14192	278	116	59	59	NUM
aiti-14192	278	117	95	95	NUM
aiti-14192	278	118	52	52	NUM
aiti-14192	278	119	63	63	NUM
aiti-14192	278	120	59	59	NUM
aiti-14192	278	121	94	94	NUM
aiti-14192	278	122	89	89	NUM
aiti-14192	278	123	fig	fig	NOUN
aiti-14192	278	124	.	.	PUNCT
aiti-14192	279	1	5	5	NUM
aiti-14192	279	2	performance	performance	NOUN
aiti-14192	279	3	comparison	comparison	NOUN
aiti-14192	279	4	of	of	ADP
aiti-14192	279	5	models	model	NOUN
aiti-14192	279	6	using	use	VERB
aiti-14192	279	7	thai	thai	ADJ
aiti-14192	279	8	bath	bath	NOUN
aiti-14192	279	9	as	as	ADP
aiti-14192	279	10	an	an	DET
aiti-14192	279	11	exogenous	exogenous	ADJ
aiti-14192	279	12	variable	variable	NOUN
aiti-14192	279	13	in	in	ADP
aiti-14192	279	14	the	the	DET
aiti-14192	279	15	first	first	ADJ
aiti-14192	279	16	period	period	NOUN
aiti-14192	279	17	96	96	NUM
aiti-14192	279	18	advances	advance	NOUN
aiti-14192	279	19	in	in	ADP
aiti-14192	279	20	technology	technology	NOUN
aiti-14192	279	21	innovation	innovation	NOUN
aiti-14192	279	22	,	,	PUNCT
aiti-14192	279	23	vol	vol	NOUN
aiti-14192	279	24	.	.	PROPN
aiti-14192	279	25	10	10	NUM
aiti-14192	279	26	,	,	PUNCT
aiti-14192	279	27	no	no	INTJ
aiti-14192	279	28	.	.	NOUN
aiti-14192	279	29	2	2	NUM
aiti-14192	279	30	,	,	PUNCT
aiti-14192	279	31	2025	2025	NUM
aiti-14192	279	32	,	,	PUNCT
aiti-14192	279	33	pp	pp	ADJ
aiti-14192	279	34	.	.	PUNCT
aiti-14192	279	35	85	85	NUM
aiti-14192	279	36	-	-	SYM
aiti-14192	279	37	101	101	NUM
aiti-14192	279	38	4.2.3	4.2.3	NUM
aiti-14192	279	39	result	result	VERB
aiti-14192	279	40	from	from	ADP
aiti-14192	279	41	the	the	DET
aiti-14192	279	42	second	second	ADJ
aiti-14192	279	43	period	period	NOUN
aiti-14192	279	44	with	with	ADP
aiti-14192	279	45	thb	thb	PROPN
aiti-14192	279	46	table	table	NOUN
aiti-14192	279	47	12	12	NUM
aiti-14192	279	48	depicts	depict	NOUN
aiti-14192	279	49	that	that	PRON
aiti-14192	279	50	all	all	DET
aiti-14192	279	51	sectors	sector	NOUN
aiti-14192	279	52	,	,	PUNCT
aiti-14192	279	53	except	except	SCONJ
aiti-14192	279	54	setc	setc	NOUN
aiti-14192	279	55	and	and	CCONJ
aiti-14192	279	56	sett	sett	PROPN
aiti-14192	279	57	,	,	PUNCT
aiti-14192	279	58	have	have	VERB
aiti-14192	279	59	negative	negative	ADJ
aiti-14192	279	60	coefficients	coefficient	NOUN
aiti-14192	279	61	in	in	ADP
aiti-14192	279	62	the	the	DET
aiti-14192	279	63	arimax	arimax	PROPN
aiti-14192	279	64	model	model	NOUN
aiti-14192	279	65	during	during	ADP
aiti-14192	279	66	the	the	DET
aiti-14192	279	67	second	second	ADJ
aiti-14192	279	68	period	period	NOUN
aiti-14192	279	69	with	with	ADP
aiti-14192	279	70	thb	thb	PROPN
aiti-14192	279	71	as	as	ADP
aiti-14192	279	72	an	an	DET
aiti-14192	279	73	exogenous	exogenous	ADJ
aiti-14192	279	74	variable	variable	NOUN
aiti-14192	279	75	.	.	PUNCT
aiti-14192	280	1	table	table	NOUN
aiti-14192	280	2	13	13	NUM
aiti-14192	280	3	supports	support	VERB
aiti-14192	280	4	the	the	DET
aiti-14192	280	5	null	null	ADJ
aiti-14192	280	6	hypothesis	hypothesis	NOUN
aiti-14192	280	7	that	that	SCONJ
aiti-14192	280	8	the	the	DET
aiti-14192	280	9	residuals	residual	NOUN
aiti-14192	280	10	are	be	AUX
aiti-14192	280	11	white	white	ADJ
aiti-14192	280	12	noise	noise	NOUN
aiti-14192	280	13	and	and	CCONJ
aiti-14192	280	14	highlights	highlight	NOUN
aiti-14192	280	15	the	the	DET
aiti-14192	280	16	models	model	NOUN
aiti-14192	280	17	with	with	ADP
aiti-14192	280	18	the	the	DET
aiti-14192	280	19	lowest	low	ADJ
aiti-14192	280	20	aic	aic	PROPN
aiti-14192	280	21	values	value	NOUN
aiti-14192	280	22	.	.	PUNCT
aiti-14192	281	1	table	table	NOUN
aiti-14192	281	2	14	14	NUM
aiti-14192	281	3	lists	list	NOUN
aiti-14192	281	4	the	the	DET
aiti-14192	281	5	opted	opt	VERB
aiti-14192	281	6	hidden	hidden	ADJ
aiti-14192	281	7	layers	layer	NOUN
aiti-14192	281	8	and	and	CCONJ
aiti-14192	281	9	lag	lag	NOUN
aiti-14192	281	10	configurations	configuration	NOUN
aiti-14192	281	11	,	,	PUNCT
aiti-14192	281	12	with	with	ADP
aiti-14192	281	13	the	the	DET
aiti-14192	281	14	hybrid	hybrid	ADJ
aiti-14192	281	15	arimax	arimax	ADJ
aiti-14192	281	16	-	-	PUNCT
aiti-14192	281	17	ernn	ernn	PROPN
aiti-14192	281	18	model	model	NOUN
aiti-14192	281	19	for	for	ADP
aiti-14192	281	20	setf	setf	NOUN
aiti-14192	281	21	denoting	denote	VERB
aiti-14192	281	22	identical	identical	ADJ
aiti-14192	281	23	setups	setup	NOUN
aiti-14192	281	24	in	in	ADP
aiti-14192	281	25	both	both	CCONJ
aiti-14192	281	26	traditional	traditional	ADJ
aiti-14192	281	27	and	and	CCONJ
aiti-14192	281	28	optimized	optimize	VERB
aiti-14192	281	29	models	model	NOUN
aiti-14192	281	30	.	.	PUNCT
aiti-14192	282	1	fig	fig	NOUN
aiti-14192	282	2	.	.	PUNCT
aiti-14192	283	1	6	6	NUM
aiti-14192	283	2	indicates	indicate	VERB
aiti-14192	283	3	that	that	SCONJ
aiti-14192	283	4	the	the	DET
aiti-14192	283	5	arimax	arimax	ADJ
aiti-14192	283	6	-	-	PUNCT
aiti-14192	283	7	ernn	ernn	PROPN
aiti-14192	283	8	model	model	NOUN
aiti-14192	283	9	for	for	ADP
aiti-14192	283	10	setf	setf	NOUN
aiti-14192	283	11	yields	yield	NOUN
aiti-14192	283	12	identical	identical	ADJ
aiti-14192	283	13	results	result	NOUN
aiti-14192	283	14	in	in	ADP
aiti-14192	283	15	both	both	CCONJ
aiti-14192	283	16	traditional	traditional	ADJ
aiti-14192	283	17	and	and	CCONJ
aiti-14192	283	18	optimized	optimize	VERB
aiti-14192	283	19	models	model	NOUN
aiti-14192	283	20	.	.	PUNCT
aiti-14192	284	1	the	the	DET
aiti-14192	284	2	optimized	optimize	VERB
aiti-14192	284	3	hybrid	hybrid	NOUN
aiti-14192	284	4	model	model	NOUN
aiti-14192	284	5	outperforms	outperform	VERB
aiti-14192	284	6	both	both	CCONJ
aiti-14192	284	7	the	the	DET
aiti-14192	284	8	traditional	traditional	ADJ
aiti-14192	284	9	hybrid	hybrid	NOUN
aiti-14192	284	10	and	and	CCONJ
aiti-14192	284	11	arimax	arimax	ADJ
aiti-14192	284	12	models	model	NOUN
aiti-14192	284	13	.	.	PUNCT
aiti-14192	285	1	fig	fig	NOUN
aiti-14192	285	2	.	.	PUNCT
aiti-14192	286	1	6	6	NUM
aiti-14192	286	2	performance	performance	NOUN
aiti-14192	286	3	comparison	comparison	NOUN
aiti-14192	286	4	of	of	ADP
aiti-14192	286	5	models	model	NOUN
aiti-14192	286	6	using	use	VERB
aiti-14192	286	7	thai	thai	ADJ
aiti-14192	286	8	bath	bath	NOUN
aiti-14192	286	9	as	as	ADP
aiti-14192	286	10	an	an	DET
aiti-14192	286	11	exogenous	exogenous	ADJ
aiti-14192	286	12	variable	variable	NOUN
aiti-14192	286	13	in	in	ADP
aiti-14192	286	14	the	the	DET
aiti-14192	286	15	second	second	ADJ
aiti-14192	286	16	period	period	NOUN
aiti-14192	286	17	table	table	NOUN
aiti-14192	286	18	12	12	NUM
aiti-14192	286	19	coefficients	coefficient	NOUN
aiti-14192	286	20	and	and	CCONJ
aiti-14192	286	21	p	p	NOUN
aiti-14192	286	22	-	-	PUNCT
aiti-14192	286	23	values	value	NOUN
aiti-14192	286	24	of	of	ADP
aiti-14192	286	25	the	the	DET
aiti-14192	286	26	second	second	ADJ
aiti-14192	286	27	period	period	NOUN
aiti-14192	286	28	arimax	arimax	PROPN
aiti-14192	286	29	model	model	NOUN
aiti-14192	286	30	with	with	ADP
aiti-14192	286	31	thai	thai	PROPN
aiti-14192	286	32	bath	bath	NOUN
aiti-14192	286	33	(	(	PUNCT
aiti-14192	286	34	thb	thb	NOUN
aiti-14192	286	35	)	)	PUNCT
aiti-14192	286	36	variable	variable	NOUN
aiti-14192	286	37	seta	seta	PROPN
aiti-14192	286	38	setf	setf	NOUN
aiti-14192	286	39	seti	seti	PROPN
aiti-14192	286	40	setp	setp	PROPN
aiti-14192	286	41	setr	setr	PROPN
aiti-14192	286	42	sets	set	VERB
aiti-14192	286	43	ar1	ar1	PROPN
aiti-14192	286	44	0.9561	0.9561	NUM
aiti-14192	286	45	*	*	PUNCT
aiti-14192	286	46	−0.8463	−0.8463	NUM
aiti-14192	286	47	*	*	PUNCT
aiti-14192	286	48	−0.1079	−0.1079	X
aiti-14192	286	49	0.8856	0.8856	NUM
aiti-14192	286	50	*	*	SYM
aiti-14192	286	51	1.4443	1.4443	NUM
aiti-14192	286	52	*	*	SYM
aiti-14192	286	53	−0.8714	−0.8714	PROPN
aiti-14192	286	54	*	*	SYM
aiti-14192	286	55	ar2	ar2	PROPN
aiti-14192	286	56	−0.1112	−0.1112	PROPN
aiti-14192	286	57	*	*	SYM
aiti-14192	286	58	−0.7787	−0.7787	PROPN
aiti-14192	286	59	*	*	SYM
aiti-14192	286	60	−0.6594	−0.6594	PROPN
aiti-14192	286	61	*	*	PUNCT
aiti-14192	286	62	−0.9951	−0.9951	X
aiti-14192	286	63	*	*	PUNCT
aiti-14192	286	64	ar3	ar3	PROPN
aiti-14192	286	65	−0.2047	−0.2047	PROPN
aiti-14192	286	66	*	*	SYM
aiti-14192	286	67	ma1	ma1	PROPN
aiti-14192	286	68	−1.1374	−1.1374	PROPN
aiti-14192	286	69	*	*	NOUN
aiti-14192	286	70	0.7463	0.7463	NUM
aiti-14192	286	71	*	*	SYM
aiti-14192	286	72	−0.0188	−0.0188	NUM
aiti-14192	286	73	−0.8402	−0.8402	PROPN
aiti-14192	286	74	*	*	PUNCT
aiti-14192	286	75	−1.6374	−1.6374	ADP
aiti-14192	286	76	*	*	NOUN
aiti-14192	286	77	0.8762	0.8762	NUM
aiti-14192	286	78	*	*	SYM
aiti-14192	286	79	ma2	ma2	NOUN
aiti-14192	286	80	0.1374	0.1374	NUM
aiti-14192	286	81	0.9999	0.9999	NUM
aiti-14192	286	82	*	*	NOUN
aiti-14192	286	83	0.9994	0.9994	NUM
aiti-14192	286	84	*	*	PUNCT
aiti-14192	286	85	0.9771	0.9771	NUM
aiti-14192	286	86	*	*	PUNCT
aiti-14192	286	87	ma3	ma3	PROPN
aiti-14192	286	88	-0.0217	-0.0217	PROPN
aiti-14192	286	89	thb	thb	PROPN
aiti-14192	286	90	−0.8201	−0.8201	PROPN
aiti-14192	286	91	*	*	SYM
aiti-14192	286	92	−1.5790	−1.5790	NUM
aiti-14192	286	93	*	*	X
aiti-14192	286	94	−1.1882	−1.1882	X
aiti-14192	286	95	*	*	X
aiti-14192	286	96	−1.1531	−1.1531	PROPN
aiti-14192	286	97	*	*	X
aiti-14192	286	98	−1.85461	−1.85461	NOUN
aiti-14192	286	99	*	*	X
aiti-14192	286	100	−1.3732	−1.3732	NOUN
aiti-14192	286	101	*	*	PUNCT
aiti-14192	286	102	*	*	PUNCT
aiti-14192	286	103	significant	significant	ADJ
aiti-14192	286	104	at	at	ADP
aiti-14192	286	105	0.05	0.05	NUM
aiti-14192	286	106	table	table	NOUN
aiti-14192	286	107	13	13	NUM
aiti-14192	286	108	akaike	akaike	ADJ
aiti-14192	286	109	information	information	NOUN
aiti-14192	286	110	criterion	criterion	NOUN
aiti-14192	286	111	(	(	PUNCT
aiti-14192	286	112	aic	aic	PROPN
aiti-14192	286	113	)	)	PUNCT
aiti-14192	286	114	values	value	NOUN
aiti-14192	286	115	and	and	CCONJ
aiti-14192	286	116	ljung	ljung	ADJ
aiti-14192	286	117	-	-	PUNCT
aiti-14192	286	118	box	box	NOUN
aiti-14192	286	119	test	test	NOUN
aiti-14192	286	120	p	p	NOUN
aiti-14192	286	121	-	-	PUNCT
aiti-14192	286	122	values	value	NOUN
aiti-14192	286	123	for	for	ADP
aiti-14192	286	124	arimax	arimax	ADJ
aiti-14192	286	125	models	model	NOUN
aiti-14192	286	126	with	with	ADP
aiti-14192	286	127	thai	thai	ADJ
aiti-14192	286	128	bath	bath	NOUN
aiti-14192	286	129	in	in	ADP
aiti-14192	286	130	the	the	DET
aiti-14192	286	131	second	second	ADJ
aiti-14192	286	132	period	period	NOUN
aiti-14192	286	133	technique	technique	NOUN
aiti-14192	286	134	seta	seta	PROPN
aiti-14192	286	135	setf	setf	NOUN
aiti-14192	286	136	seti	seti	PROPN
aiti-14192	286	137	setp	setp	PROPN
aiti-14192	286	138	setr	setr	PROPN
aiti-14192	286	139	sets	set	VERB
aiti-14192	286	140	aic	aic	PROPN
aiti-14192	286	141	−728.935	−728.935	PROPN
aiti-14192	286	142	−659.234	−659.234	PROPN
aiti-14192	286	143	−671.951	−671.951	PROPN
aiti-14192	286	144	−727.489	−727.489	PROPN
aiti-14192	287	1	−657.02	−657.02	PROPN
aiti-14192	287	2	−699.31	−699.31	NOUN
aiti-14192	287	3	ljung	ljung	PROPN
aiti-14192	287	4	-	-	PUNCT
aiti-14192	287	5	box	box	NOUN
aiti-14192	287	6	0.9661	0.9661	NUM
aiti-14192	287	7	0.9995	0.9995	NUM
aiti-14192	287	8	0.8892	0.8892	NUM
aiti-14192	287	9	0.32160	0.32160	NUM
aiti-14192	287	10	0.9164	0.9164	NUM
aiti-14192	287	11	0.9556	0.9556	NUM
aiti-14192	287	12	advances	advance	NOUN
aiti-14192	287	13	in	in	ADP
aiti-14192	287	14	technology	technology	NOUN
aiti-14192	287	15	innovation	innovation	NOUN
aiti-14192	287	16	,	,	PUNCT
aiti-14192	287	17	vol	vol	NOUN
aiti-14192	287	18	.	.	PROPN
aiti-14192	288	1	10	10	NUM
aiti-14192	288	2	,	,	PUNCT
aiti-14192	288	3	no	no	INTJ
aiti-14192	288	4	.	.	NOUN
aiti-14192	288	5	2	2	NUM
aiti-14192	288	6	,	,	PUNCT
aiti-14192	288	7	2025	2025	NUM
aiti-14192	288	8	,	,	PUNCT
aiti-14192	288	9	pp	pp	ADJ
aiti-14192	288	10	.	.	PUNCT
aiti-14192	288	11	85	85	NUM
aiti-14192	288	12	-	-	SYM
aiti-14192	288	13	101	101	NUM
aiti-14192	288	14	97	97	NUM
aiti-14192	288	15	table	table	NOUN
aiti-14192	288	16	14	14	NUM
aiti-14192	288	17	configuration	configuration	NOUN
aiti-14192	288	18	of	of	ADP
aiti-14192	288	19	lags	lag	NOUN
aiti-14192	288	20	and	and	CCONJ
aiti-14192	288	21	hidden	hidden	ADJ
aiti-14192	288	22	layers	layer	NOUN
aiti-14192	288	23	in	in	ADP
aiti-14192	288	24	neural	neural	ADJ
aiti-14192	288	25	network	network	NOUN
aiti-14192	288	26	models	model	NOUN
aiti-14192	288	27	with	with	ADP
aiti-14192	288	28	thai	thai	ADJ
aiti-14192	288	29	bath	bath	NOUN
aiti-14192	288	30	for	for	ADP
aiti-14192	288	31	the	the	DET
aiti-14192	288	32	second	second	ADJ
aiti-14192	288	33	period	period	NOUN
aiti-14192	288	34	technique	technique	NOUN
aiti-14192	288	35	lags	lag	NOUN
aiti-14192	288	36	and	and	CCONJ
aiti-14192	288	37	hidden	hide	VERB
aiti-14192	288	38	layers	layer	NOUN
aiti-14192	288	39	seta	seta	PROPN
aiti-14192	288	40	setf	setf	NOUN
aiti-14192	288	41	seti	seti	PROPN
aiti-14192	288	42	setp	setp	PROPN
aiti-14192	288	43	setr	setr	PROPN
aiti-14192	288	44	sets	set	VERB
aiti-14192	288	45	traditional	traditional	ADJ
aiti-14192	288	46	ann	ann	PROPN
aiti-14192	288	47	lags	lag	VERB
aiti-14192	288	48	1	1	NUM
aiti-14192	288	49	1	1	NUM
aiti-14192	288	50	1	1	NUM
aiti-14192	288	51	1	1	NUM
aiti-14192	288	52	1	1	NUM
aiti-14192	288	53	1	1	NUM
aiti-14192	288	54	hidden	hidden	ADJ
aiti-14192	288	55	layers	layer	NOUN
aiti-14192	288	56	26	26	NUM
aiti-14192	288	57	80	80	NUM
aiti-14192	288	58	30	30	NUM
aiti-14192	288	59	7	7	NUM
aiti-14192	288	60	47	47	NUM
aiti-14192	288	61	21	21	NUM
aiti-14192	288	62	optimized	optimize	VERB
aiti-14192	288	63	ann	ann	PROPN
aiti-14192	288	64	lags	lag	VERB
aiti-14192	288	65	5	5	NUM
aiti-14192	288	66	2	2	NUM
aiti-14192	288	67	3	3	NUM
aiti-14192	288	68	5	5	NUM
aiti-14192	288	69	5	5	NUM
aiti-14192	288	70	4	4	NUM
aiti-14192	288	71	hidden	hidden	ADJ
aiti-14192	288	72	layers	layer	NOUN
aiti-14192	288	73	52	52	NUM
aiti-14192	288	74	73	73	NUM
aiti-14192	288	75	87	87	NUM
aiti-14192	288	76	11	11	NUM
aiti-14192	288	77	79	79	NUM
aiti-14192	288	78	75	75	NUM
aiti-14192	288	79	traditional	traditional	ADJ
aiti-14192	288	80	ernn	ernn	NOUN
aiti-14192	288	81	lags	lag	VERB
aiti-14192	288	82	1	1	NUM
aiti-14192	288	83	1	1	NUM
aiti-14192	288	84	1	1	NUM
aiti-14192	288	85	1	1	NUM
aiti-14192	288	86	1	1	NUM
aiti-14192	288	87	1	1	NUM
aiti-14192	288	88	hidden	hidden	ADJ
aiti-14192	288	89	layers	layer	NOUN
aiti-14192	288	90	40	40	NUM
aiti-14192	288	91	85	85	NUM
aiti-14192	288	92	85	85	NUM
aiti-14192	288	93	40	40	NUM
aiti-14192	288	94	46	46	NUM
aiti-14192	288	95	40	40	NUM
aiti-14192	288	96	optimized	optimize	VERB
aiti-14192	288	97	ernn	ernn	NOUN
aiti-14192	288	98	lags	lag	VERB
aiti-14192	288	99	2	2	NUM
aiti-14192	288	100	1	1	NUM
aiti-14192	288	101	1	1	NUM
aiti-14192	288	102	4	4	NUM
aiti-14192	288	103	3	3	NUM
aiti-14192	288	104	1	1	NUM
aiti-14192	288	105	hidden	hidden	ADJ
aiti-14192	288	106	layers	layer	NOUN
aiti-14192	288	107	46	46	NUM
aiti-14192	288	108	85	85	NUM
aiti-14192	288	109	40	40	NUM
aiti-14192	288	110	86	86	NUM
aiti-14192	288	111	89	89	NUM
aiti-14192	288	112	85	85	NUM
aiti-14192	288	113	4.2.4	4.2.4	NUM
aiti-14192	288	114	result	result	NOUN
aiti-14192	288	115	from	from	ADP
aiti-14192	288	116	the	the	DET
aiti-14192	288	117	third	third	ADJ
aiti-14192	288	118	period	period	NOUN
aiti-14192	288	119	with	with	ADP
aiti-14192	288	120	ggt	ggt	NOUN
aiti-14192	288	121	index	index	NOUN
aiti-14192	288	122	table	table	NOUN
aiti-14192	288	123	15	15	NUM
aiti-14192	288	124	indicates	indicate	VERB
aiti-14192	288	125	that	that	SCONJ
aiti-14192	288	126	setf	setf	NOUN
aiti-14192	288	127	and	and	CCONJ
aiti-14192	288	128	setp	setp	NOUN
aiti-14192	288	129	have	have	VERB
aiti-14192	288	130	negative	negative	ADJ
aiti-14192	288	131	and	and	CCONJ
aiti-14192	288	132	significant	significant	ADJ
aiti-14192	288	133	coefficients	coefficient	NOUN
aiti-14192	288	134	in	in	ADP
aiti-14192	288	135	the	the	DET
aiti-14192	288	136	arimax	arimax	ADJ
aiti-14192	288	137	model	model	NOUN
aiti-14192	288	138	with	with	ADP
aiti-14192	288	139	ggt	ggt	NOUN
aiti-14192	288	140	as	as	ADP
aiti-14192	288	141	an	an	DET
aiti-14192	288	142	exogenous	exogenous	ADJ
aiti-14192	288	143	variable	variable	NOUN
aiti-14192	288	144	during	during	ADP
aiti-14192	288	145	the	the	DET
aiti-14192	288	146	third	third	ADJ
aiti-14192	288	147	period	period	NOUN
aiti-14192	288	148	.	.	PUNCT
aiti-14192	289	1	table	table	NOUN
aiti-14192	289	2	16	16	NUM
aiti-14192	289	3	highlights	highlight	NOUN
aiti-14192	289	4	the	the	DET
aiti-14192	289	5	model	model	NOUN
aiti-14192	289	6	with	with	ADP
aiti-14192	289	7	the	the	DET
aiti-14192	289	8	lowest	low	ADJ
aiti-14192	289	9	aic	aic	PROPN
aiti-14192	289	10	and	and	CCONJ
aiti-14192	289	11	a	a	DET
aiti-14192	289	12	p	p	NOUN
aiti-14192	289	13	-	-	PUNCT
aiti-14192	289	14	value	value	NOUN
aiti-14192	289	15	from	from	ADP
aiti-14192	289	16	the	the	DET
aiti-14192	289	17	ljung	ljung	PROPN
aiti-14192	289	18	-	-	PUNCT
aiti-14192	289	19	box	box	NOUN
aiti-14192	289	20	test	test	NOUN
aiti-14192	289	21	,	,	PUNCT
aiti-14192	289	22	supporting	support	VERB
aiti-14192	289	23	the	the	DET
aiti-14192	289	24	null	null	ADJ
aiti-14192	289	25	hypothesis	hypothesis	NOUN
aiti-14192	289	26	and	and	CCONJ
aiti-14192	289	27	suggesting	suggest	VERB
aiti-14192	289	28	that	that	SCONJ
aiti-14192	289	29	the	the	DET
aiti-14192	289	30	residuals	residual	NOUN
aiti-14192	289	31	are	be	AUX
aiti-14192	289	32	noise	noise	NOUN
aiti-14192	289	33	.	.	PUNCT
aiti-14192	290	1	table	table	NOUN
aiti-14192	290	2	17	17	NUM
aiti-14192	290	3	outlines	outline	VERB
aiti-14192	290	4	the	the	DET
aiti-14192	290	5	opted	opt	VERB
aiti-14192	290	6	hidden	hidden	ADJ
aiti-14192	290	7	layers	layer	NOUN
aiti-14192	290	8	and	and	CCONJ
aiti-14192	290	9	lag	lag	NOUN
aiti-14192	290	10	configurations	configuration	NOUN
aiti-14192	290	11	,	,	PUNCT
aiti-14192	290	12	indicating	indicate	VERB
aiti-14192	290	13	that	that	SCONJ
aiti-14192	290	14	the	the	DET
aiti-14192	290	15	hybrid	hybrid	ADJ
aiti-14192	290	16	arimax	arimax	ADJ
aiti-14192	290	17	-	-	PUNCT
aiti-14192	290	18	ernn	ernn	PROPN
aiti-14192	290	19	model	model	NOUN
aiti-14192	290	20	for	for	ADP
aiti-14192	290	21	setf	setf	NOUN
aiti-14192	290	22	offers	offer	VERB
aiti-14192	290	23	the	the	DET
aiti-14192	290	24	same	same	ADJ
aiti-14192	290	25	configurations	configuration	NOUN
aiti-14192	290	26	in	in	ADP
aiti-14192	290	27	both	both	CCONJ
aiti-14192	290	28	traditional	traditional	ADJ
aiti-14192	290	29	and	and	CCONJ
aiti-14192	290	30	optimized	optimize	VERB
aiti-14192	290	31	modes	mode	NOUN
aiti-14192	290	32	.	.	PUNCT
aiti-14192	291	1	fig	fig	NOUN
aiti-14192	291	2	.	.	PUNCT
aiti-14192	292	1	7	7	NUM
aiti-14192	292	2	shows	show	VERB
aiti-14192	292	3	that	that	SCONJ
aiti-14192	292	4	the	the	DET
aiti-14192	292	5	arimax	arimax	ADJ
aiti-14192	292	6	-	-	PUNCT
aiti-14192	292	7	ernn	ernn	PROPN
aiti-14192	292	8	model	model	NOUN
aiti-14192	292	9	for	for	ADP
aiti-14192	292	10	setf	setf	NOUN
aiti-14192	292	11	produces	produce	VERB
aiti-14192	292	12	the	the	DET
aiti-14192	292	13	same	same	ADJ
aiti-14192	292	14	results	result	NOUN
aiti-14192	292	15	in	in	ADP
aiti-14192	292	16	both	both	CCONJ
aiti-14192	292	17	traditional	traditional	ADJ
aiti-14192	292	18	and	and	CCONJ
aiti-14192	292	19	optimized	optimize	VERB
aiti-14192	292	20	modes	mode	NOUN
aiti-14192	292	21	.	.	PUNCT
aiti-14192	293	1	moreover	moreover	ADV
aiti-14192	293	2	,	,	PUNCT
aiti-14192	293	3	such	such	DET
aiti-14192	293	4	a	a	DET
aiti-14192	293	5	finding	finding	NOUN
aiti-14192	293	6	confirms	confirm	VERB
aiti-14192	293	7	that	that	SCONJ
aiti-14192	293	8	the	the	DET
aiti-14192	293	9	optimized	optimize	VERB
aiti-14192	293	10	hybrid	hybrid	NOUN
aiti-14192	293	11	model	model	NOUN
aiti-14192	293	12	outperforms	outperform	VERB
aiti-14192	293	13	both	both	CCONJ
aiti-14192	293	14	the	the	DET
aiti-14192	293	15	traditional	traditional	ADJ
aiti-14192	293	16	hybrid	hybrid	NOUN
aiti-14192	293	17	and	and	CCONJ
aiti-14192	293	18	arimax	arimax	ADJ
aiti-14192	293	19	models	model	NOUN
aiti-14192	293	20	.	.	PUNCT
aiti-14192	294	1	fig	fig	NOUN
aiti-14192	294	2	.	.	PUNCT
aiti-14192	295	1	7	7	NUM
aiti-14192	295	2	performance	performance	NOUN
aiti-14192	295	3	comparison	comparison	NOUN
aiti-14192	295	4	of	of	ADP
aiti-14192	295	5	models	model	NOUN
aiti-14192	295	6	using	use	VERB
aiti-14192	295	7	the	the	DET
aiti-14192	295	8	google	google	PROPN
aiti-14192	295	9	trends	trend	NOUN
aiti-14192	295	10	index	index	NOUN
aiti-14192	295	11	as	as	ADP
aiti-14192	295	12	an	an	DET
aiti-14192	295	13	exogenous	exogenous	ADJ
aiti-14192	295	14	variable	variable	NOUN
aiti-14192	295	15	in	in	ADP
aiti-14192	295	16	the	the	DET
aiti-14192	295	17	third	third	ADJ
aiti-14192	295	18	period	period	NOUN
aiti-14192	295	19	table	table	NOUN
aiti-14192	295	20	15	15	NUM
aiti-14192	295	21	coefficients	coefficient	NOUN
aiti-14192	295	22	and	and	CCONJ
aiti-14192	295	23	p	p	NOUN
aiti-14192	295	24	-	-	PUNCT
aiti-14192	295	25	values	value	NOUN
aiti-14192	295	26	of	of	ADP
aiti-14192	295	27	the	the	DET
aiti-14192	295	28	third	third	ADJ
aiti-14192	295	29	period	period	NOUN
aiti-14192	295	30	arimax	arimax	PROPN
aiti-14192	295	31	model	model	NOUN
aiti-14192	295	32	with	with	ADP
aiti-14192	295	33	google	google	PROPN
aiti-14192	295	34	trends	trend	NOUN
aiti-14192	295	35	(	(	PUNCT
aiti-14192	295	36	ggt	ggt	NOUN
aiti-14192	295	37	)	)	PUNCT
aiti-14192	295	38	index	index	NOUN
aiti-14192	295	39	variable	variable	ADJ
aiti-14192	295	40	setf	setf	NOUN
aiti-14192	295	41	setp	setp	NOUN
aiti-14192	295	42	ar1	ar1	PROPN
aiti-14192	295	43	−0.56539	−0.56539	PROPN
aiti-14192	295	44	0.99661	0.99661	PROPN
aiti-14192	295	45	*	*	PUNCT
aiti-14192	295	46	ma1	ma1	NOUN
aiti-14192	295	47	0.715767	0.715767	NUM
aiti-14192	295	48	*	*	SYM
aiti-14192	295	49	−0.92404	−0.92404	X
aiti-14192	295	50	*	*	PUNCT
aiti-14192	295	51	ma2	ma2	PROPN
aiti-14192	296	1	−0.06181	−0.06181	PROPN
aiti-14192	296	2	ggt	ggt	NOUN
aiti-14192	296	3	−0.01542	−0.01542	PROPN
aiti-14192	296	4	*	*	PUNCT
aiti-14192	296	5	−0.01042	−0.01042	X
aiti-14192	296	6	*	*	PUNCT
aiti-14192	296	7	*	*	PUNCT
aiti-14192	296	8	significant	significant	ADJ
aiti-14192	296	9	at	at	ADP
aiti-14192	296	10	0.05	0.05	NUM
aiti-14192	296	11	table	table	NOUN
aiti-14192	296	12	16	16	NUM
aiti-14192	296	13	akaike	akaike	ADJ
aiti-14192	296	14	information	information	NOUN
aiti-14192	296	15	criterion	criterion	NOUN
aiti-14192	296	16	(	(	PUNCT
aiti-14192	296	17	aic	aic	PROPN
aiti-14192	296	18	)	)	PUNCT
aiti-14192	296	19	values	value	NOUN
aiti-14192	296	20	and	and	CCONJ
aiti-14192	296	21	ljung	ljung	ADJ
aiti-14192	296	22	-	-	PUNCT
aiti-14192	296	23	box	box	NOUN
aiti-14192	296	24	test	test	NOUN
aiti-14192	296	25	p	p	NOUN
aiti-14192	296	26	-	-	PUNCT
aiti-14192	296	27	values	value	NOUN
aiti-14192	296	28	for	for	ADP
aiti-14192	296	29	arimax	arimax	ADJ
aiti-14192	296	30	models	model	NOUN
aiti-14192	296	31	with	with	ADP
aiti-14192	296	32	google	google	PROPN
aiti-14192	296	33	trends	trend	NOUN
aiti-14192	296	34	index	index	NOUN
aiti-14192	296	35	in	in	ADP
aiti-14192	296	36	the	the	DET
aiti-14192	296	37	third	third	ADJ
aiti-14192	296	38	period	period	NOUN
aiti-14192	296	39	technique	technique	NOUN
aiti-14192	296	40	setf	setf	NOUN
aiti-14192	296	41	setp	setp	NOUN
aiti-14192	296	42	aic	aic	PROPN
aiti-14192	296	43	−431.606	−431.606	PROPN
aiti-14192	297	1	−493.575	−493.575	PROPN
aiti-14192	297	2	ljung	ljung	PROPN
aiti-14192	297	3	-	-	PUNCT
aiti-14192	297	4	box	box	NOUN
aiti-14192	297	5	0.775444	0.775444	NUM
aiti-14192	297	6	0.857292	0.857292	NUM
aiti-14192	297	7	table	table	NOUN
aiti-14192	297	8	17	17	NUM
aiti-14192	297	9	configuration	configuration	NOUN
aiti-14192	297	10	of	of	ADP
aiti-14192	297	11	lags	lag	NOUN
aiti-14192	297	12	and	and	CCONJ
aiti-14192	297	13	hidden	hidden	ADJ
aiti-14192	297	14	layers	layer	NOUN
aiti-14192	297	15	in	in	ADP
aiti-14192	297	16	neural	neural	ADJ
aiti-14192	297	17	network	network	NOUN
aiti-14192	297	18	models	model	NOUN
aiti-14192	297	19	with	with	ADP
aiti-14192	297	20	google	google	PROPN
aiti-14192	297	21	trends	trend	NOUN
aiti-14192	297	22	index	index	NOUN
aiti-14192	297	23	for	for	ADP
aiti-14192	297	24	the	the	DET
aiti-14192	297	25	third	third	ADJ
aiti-14192	297	26	period	period	NOUN
aiti-14192	297	27	technique	technique	NOUN
aiti-14192	297	28	lags	lag	NOUN
aiti-14192	297	29	and	and	CCONJ
aiti-14192	297	30	hidden	hidden	ADJ
aiti-14192	297	31	layers	layer	NOUN
aiti-14192	297	32	setf	setf	NOUN
aiti-14192	297	33	setp	setp	PROPN
aiti-14192	297	34	traditional	traditional	ADJ
aiti-14192	297	35	ann	ann	PROPN
aiti-14192	297	36	lags	lag	VERB
aiti-14192	297	37	1	1	NUM
aiti-14192	297	38	1	1	NUM
aiti-14192	297	39	hidden	hidden	ADJ
aiti-14192	297	40	layers	layer	NOUN
aiti-14192	297	41	62	62	NUM
aiti-14192	297	42	30	30	NUM
aiti-14192	297	43	optimized	optimize	VERB
aiti-14192	297	44	ann	ann	PROPN
aiti-14192	297	45	lags	lag	VERB
aiti-14192	297	46	2	2	NUM
aiti-14192	297	47	2	2	NUM
aiti-14192	297	48	hidden	hide	VERB
aiti-14192	297	49	layers	layer	NOUN
aiti-14192	297	50	32	32	NUM
aiti-14192	297	51	35	35	NUM
aiti-14192	297	52	98	98	NUM
aiti-14192	297	53	advances	advance	NOUN
aiti-14192	297	54	in	in	ADP
aiti-14192	297	55	technology	technology	NOUN
aiti-14192	297	56	innovation	innovation	NOUN
aiti-14192	297	57	,	,	PUNCT
aiti-14192	297	58	vol	vol	NOUN
aiti-14192	297	59	.	.	PROPN
aiti-14192	298	1	10	10	NUM
aiti-14192	298	2	,	,	PUNCT
aiti-14192	298	3	no	no	INTJ
aiti-14192	298	4	.	.	NOUN
aiti-14192	298	5	2	2	NUM
aiti-14192	298	6	,	,	PUNCT
aiti-14192	298	7	2025	2025	NUM
aiti-14192	298	8	,	,	PUNCT
aiti-14192	298	9	pp	pp	ADJ
aiti-14192	298	10	.	.	PUNCT
aiti-14192	298	11	85	85	NUM
aiti-14192	298	12	-	-	SYM
aiti-14192	298	13	101	101	NUM
aiti-14192	298	14	table	table	NOUN
aiti-14192	298	15	17	17	NUM
aiti-14192	298	16	configuration	configuration	NOUN
aiti-14192	298	17	of	of	ADP
aiti-14192	298	18	lags	lag	NOUN
aiti-14192	298	19	and	and	CCONJ
aiti-14192	298	20	hidden	hidden	ADJ
aiti-14192	298	21	layers	layer	NOUN
aiti-14192	298	22	in	in	ADP
aiti-14192	298	23	neural	neural	ADJ
aiti-14192	298	24	network	network	NOUN
aiti-14192	298	25	models	model	NOUN
aiti-14192	298	26	with	with	ADP
aiti-14192	298	27	google	google	PROPN
aiti-14192	298	28	trends	trend	NOUN
aiti-14192	298	29	index	index	NOUN
aiti-14192	298	30	for	for	ADP
aiti-14192	298	31	the	the	DET
aiti-14192	298	32	third	third	ADJ
aiti-14192	298	33	period	period	NOUN
aiti-14192	298	34	(	(	PUNCT
aiti-14192	298	35	continued	continued	ADJ
aiti-14192	298	36	)	)	PUNCT
aiti-14192	298	37	technique	technique	NOUN
aiti-14192	298	38	lags	lag	NOUN
aiti-14192	298	39	and	and	CCONJ
aiti-14192	298	40	hidden	hidden	ADJ
aiti-14192	298	41	layers	layer	NOUN
aiti-14192	298	42	setf	setf	NOUN
aiti-14192	298	43	setp	setp	NOUN
aiti-14192	298	44	traditional	traditional	ADJ
aiti-14192	298	45	ernn	ernn	NOUN
aiti-14192	298	46	lags	lag	VERB
aiti-14192	298	47	1	1	NUM
aiti-14192	298	48	2	2	NUM
aiti-14192	298	49	hidden	hidden	ADJ
aiti-14192	298	50	layers	layer	NOUN
aiti-14192	298	51	57	57	NUM
aiti-14192	298	52	46	46	NUM
aiti-14192	298	53	optimized	optimize	VERB
aiti-14192	298	54	ernn	ernn	NOUN
aiti-14192	298	55	lags	lag	VERB
aiti-14192	298	56	1	1	NUM
aiti-14192	298	57	1	1	NUM
aiti-14192	298	58	hidden	hidden	ADJ
aiti-14192	298	59	layers	layer	NOUN
aiti-14192	298	60	57	57	NUM
aiti-14192	298	61	72	72	NUM
aiti-14192	298	62	4.2.5	4.2.5	NUM
aiti-14192	298	63	result	result	NOUN
aiti-14192	298	64	from	from	ADP
aiti-14192	298	65	the	the	DET
aiti-14192	298	66	fourth	fourth	ADJ
aiti-14192	298	67	period	period	NOUN
aiti-14192	298	68	with	with	ADP
aiti-14192	298	69	thb	thb	PROPN
aiti-14192	298	70	table	table	NOUN
aiti-14192	298	71	18	18	NUM
aiti-14192	298	72	demonstrates	demonstrate	VERB
aiti-14192	298	73	that	that	SCONJ
aiti-14192	298	74	the	the	DET
aiti-14192	298	75	arimax	arimax	PROPN
aiti-14192	298	76	model	model	NOUN
aiti-14192	298	77	with	with	ADP
aiti-14192	298	78	thb	thb	PROPN
aiti-14192	298	79	as	as	ADP
aiti-14192	298	80	an	an	DET
aiti-14192	298	81	exogenous	exogenous	ADJ
aiti-14192	298	82	variable	variable	NOUN
aiti-14192	298	83	in	in	ADP
aiti-14192	298	84	the	the	DET
aiti-14192	298	85	fourth	fourth	ADJ
aiti-14192	298	86	period	period	NOUN
aiti-14192	298	87	is	be	AUX
aiti-14192	298	88	statistically	statistically	ADV
aiti-14192	298	89	significant	significant	ADJ
aiti-14192	298	90	for	for	ADP
aiti-14192	298	91	setf	setf	NOUN
aiti-14192	298	92	,	,	PUNCT
aiti-14192	298	93	setp	setp	NOUN
aiti-14192	298	94	,	,	PUNCT
aiti-14192	298	95	setr	setr	NOUN
aiti-14192	298	96	,	,	PUNCT
aiti-14192	298	97	and	and	CCONJ
aiti-14192	298	98	sets	set	NOUN
aiti-14192	298	99	with	with	ADP
aiti-14192	298	100	all	all	DET
aiti-14192	298	101	models	model	NOUN
aiti-14192	298	102	exhibiting	exhibit	VERB
aiti-14192	298	103	negative	negative	ADJ
aiti-14192	298	104	coefficients	coefficient	NOUN
aiti-14192	298	105	.	.	PUNCT
aiti-14192	299	1	in	in	ADP
aiti-14192	299	2	table	table	NOUN
aiti-14192	299	3	19	19	NUM
aiti-14192	299	4	,	,	PUNCT
aiti-14192	299	5	the	the	DET
aiti-14192	299	6	arimax	arimax	ADJ
aiti-14192	299	7	model	model	NOUN
aiti-14192	299	8	is	be	AUX
aiti-14192	299	9	selected	select	VERB
aiti-14192	299	10	by	by	ADP
aiti-14192	299	11	its	its	PRON
aiti-14192	299	12	lowest	low	ADJ
aiti-14192	299	13	aic	aic	PROPN
aiti-14192	299	14	values	value	NOUN
aiti-14192	299	15	while	while	SCONJ
aiti-14192	299	16	p	p	NOUN
aiti-14192	299	17	-	-	PUNCT
aiti-14192	299	18	values	value	NOUN
aiti-14192	299	19	of	of	ADP
aiti-14192	299	20	the	the	DET
aiti-14192	299	21	ljung	ljung	ADJ
aiti-14192	299	22	-	-	PUNCT
aiti-14192	299	23	box	box	NOUN
aiti-14192	299	24	test	test	NOUN
aiti-14192	299	25	confirm	confirm	VERB
aiti-14192	299	26	that	that	SCONJ
aiti-14192	299	27	the	the	DET
aiti-14192	299	28	residuals	residual	NOUN
aiti-14192	299	29	are	be	AUX
aiti-14192	299	30	white	white	ADJ
aiti-14192	299	31	noise	noise	NOUN
aiti-14192	299	32	supporting	support	VERB
aiti-14192	299	33	the	the	DET
aiti-14192	299	34	null	null	ADJ
aiti-14192	299	35	hypothesis	hypothesis	NOUN
aiti-14192	299	36	.	.	PUNCT
aiti-14192	300	1	table	table	NOUN
aiti-14192	300	2	20	20	NUM
aiti-14192	300	3	renders	render	VERB
aiti-14192	300	4	a	a	DET
aiti-14192	300	5	detailed	detailed	ADJ
aiti-14192	300	6	comparison	comparison	NOUN
aiti-14192	300	7	of	of	ADP
aiti-14192	300	8	the	the	DET
aiti-14192	300	9	selected	select	VERB
aiti-14192	300	10	lags	lag	NOUN
aiti-14192	300	11	and	and	CCONJ
aiti-14192	300	12	hidden	hidden	ADJ
aiti-14192	300	13	layers	layer	NOUN
aiti-14192	300	14	for	for	ADP
aiti-14192	300	15	each	each	DET
aiti-14192	300	16	model	model	NOUN
aiti-14192	300	17	.	.	PUNCT
aiti-14192	301	1	notably	notably	ADV
aiti-14192	301	2	,	,	PUNCT
aiti-14192	301	3	setp	setp	NOUN
aiti-14192	301	4	and	and	CCONJ
aiti-14192	301	5	sets	set	NOUN
aiti-14192	301	6	exhibit	exhibit	VERB
aiti-14192	301	7	identical	identical	ADJ
aiti-14192	301	8	lags	lag	NOUN
aiti-14192	301	9	and	and	CCONJ
aiti-14192	301	10	hidden	hidden	ADJ
aiti-14192	301	11	layers	layer	NOUN
aiti-14192	301	12	in	in	ADP
aiti-14192	301	13	their	their	PRON
aiti-14192	301	14	traditional	traditional	ADJ
aiti-14192	301	15	and	and	CCONJ
aiti-14192	301	16	optimized	optimize	VERB
aiti-14192	301	17	arimax	arimax	ADJ
aiti-14192	301	18	-	-	PUNCT
aiti-14192	301	19	ernn	ernn	NOUN
aiti-14192	301	20	models	model	NOUN
aiti-14192	301	21	.	.	PUNCT
aiti-14192	302	1	the	the	DET
aiti-14192	302	2	performance	performance	NOUN
aiti-14192	302	3	presented	present	VERB
aiti-14192	302	4	in	in	ADP
aiti-14192	302	5	fig	fig	NOUN
aiti-14192	302	6	.	.	PUNCT
aiti-14192	303	1	8	8	NUM
aiti-14192	303	2	reveals	reveal	VERB
aiti-14192	303	3	that	that	SCONJ
aiti-14192	303	4	the	the	DET
aiti-14192	303	5	arimax	arimax	ADJ
aiti-14192	303	6	-	-	PUNCT
aiti-14192	303	7	ernn	ernn	PROPN
aiti-14192	303	8	model	model	NOUN
aiti-14192	303	9	yields	yield	NOUN
aiti-14192	303	10	consistent	consistent	ADJ
aiti-14192	303	11	results	result	NOUN
aiti-14192	303	12	for	for	ADP
aiti-14192	303	13	setp	setp	NOUN
aiti-14192	303	14	and	and	CCONJ
aiti-14192	303	15	sets	set	NOUN
aiti-14192	303	16	in	in	ADP
aiti-14192	303	17	both	both	CCONJ
aiti-14192	303	18	traditional	traditional	ADJ
aiti-14192	303	19	and	and	CCONJ
aiti-14192	303	20	optimized	optimize	VERB
aiti-14192	303	21	approaches	approach	NOUN
aiti-14192	303	22	.	.	PUNCT
aiti-14192	304	1	the	the	DET
aiti-14192	304	2	optimized	optimize	VERB
aiti-14192	304	3	hybrid	hybrid	NOUN
aiti-14192	304	4	model	model	NOUN
aiti-14192	304	5	excels	excel	VERB
aiti-14192	304	6	both	both	CCONJ
aiti-14192	304	7	the	the	DET
aiti-14192	304	8	traditional	traditional	ADJ
aiti-14192	304	9	hybrid	hybrid	NOUN
aiti-14192	304	10	and	and	CCONJ
aiti-14192	304	11	arimax	arimax	ADJ
aiti-14192	304	12	models	model	NOUN
aiti-14192	304	13	in	in	ADP
aiti-14192	304	14	performance	performance	NOUN
aiti-14192	304	15	.	.	PUNCT
aiti-14192	305	1	fig	fig	NOUN
aiti-14192	305	2	.	.	PUNCT
aiti-14192	306	1	8	8	NUM
aiti-14192	306	2	performance	performance	NOUN
aiti-14192	306	3	comparison	comparison	NOUN
aiti-14192	306	4	of	of	ADP
aiti-14192	306	5	models	model	NOUN
aiti-14192	306	6	using	use	VERB
aiti-14192	306	7	thai	thai	ADJ
aiti-14192	306	8	bath	bath	NOUN
aiti-14192	306	9	as	as	ADP
aiti-14192	306	10	an	an	DET
aiti-14192	306	11	exogenous	exogenous	ADJ
aiti-14192	306	12	variable	variable	NOUN
aiti-14192	306	13	in	in	ADP
aiti-14192	306	14	the	the	DET
aiti-14192	306	15	fourth	fourth	ADJ
aiti-14192	306	16	period	period	NOUN
aiti-14192	306	17	table	table	NOUN
aiti-14192	306	18	18	18	NUM
aiti-14192	306	19	coefficients	coefficient	NOUN
aiti-14192	306	20	and	and	CCONJ
aiti-14192	306	21	p	p	NOUN
aiti-14192	306	22	-	-	PUNCT
aiti-14192	306	23	values	value	NOUN
aiti-14192	306	24	of	of	ADP
aiti-14192	306	25	the	the	DET
aiti-14192	306	26	fourth	fourth	ADJ
aiti-14192	306	27	period	period	NOUN
aiti-14192	306	28	arimax	arimax	PROPN
aiti-14192	306	29	model	model	NOUN
aiti-14192	306	30	with	with	ADP
aiti-14192	306	31	thai	thai	PROPN
aiti-14192	306	32	bath	bath	NOUN
aiti-14192	306	33	(	(	PUNCT
aiti-14192	306	34	thb	thb	NOUN
aiti-14192	306	35	)	)	PUNCT
aiti-14192	306	36	variable	variable	ADJ
aiti-14192	306	37	setf	setf	NOUN
aiti-14192	306	38	setp	setp	PROPN
aiti-14192	306	39	setr	setr	PROPN
aiti-14192	306	40	sets	set	VERB
aiti-14192	306	41	ar1	ar1	PROPN
aiti-14192	306	42	0.5920	0.5920	PRON
aiti-14192	306	43	*	*	PUNCT
aiti-14192	306	44	−0.5989	−0.5989	PROPN
aiti-14192	306	45	*	*	PUNCT
aiti-14192	306	46	−0.6401	−0.6401	PROPN
aiti-14192	306	47	*	*	X
aiti-14192	306	48	−0.4478	−0.4478	PROPN
aiti-14192	306	49	ar2	ar2	PROPN
aiti-14192	306	50	−0.1642	−0.1642	PROPN
aiti-14192	306	51	*	*	PROPN
aiti-14192	306	52	ma1	ma1	PROPN
aiti-14192	306	53	−0.6814	−0.6814	PROPN
aiti-14192	306	54	*	*	PUNCT
aiti-14192	307	1	0.6631	0.6631	NUM
aiti-14192	307	2	*	*	PUNCT
aiti-14192	307	3	0.7828	0.7828	NUM
aiti-14192	307	4	*	*	PUNCT
aiti-14192	307	5	0.4225	0.4225	NUM
aiti-14192	307	6	thb	thb	NOUN
aiti-14192	307	7	−0.7917	−0.7917	X
aiti-14192	307	8	*	*	PUNCT
aiti-14192	307	9	−0.4754	−0.4754	PROPN
aiti-14192	307	10	*	*	PUNCT
aiti-14192	307	11	−0.3997	−0.3997	X
aiti-14192	307	12	*	*	PUNCT
aiti-14192	307	13	−0.6529	−0.6529	NOUN
aiti-14192	307	14	*	*	PUNCT
aiti-14192	307	15	significant	significant	ADJ
aiti-14192	307	16	at	at	ADP
aiti-14192	307	17	0.05	0.05	NUM
aiti-14192	307	18	advances	advance	NOUN
aiti-14192	307	19	in	in	ADP
aiti-14192	307	20	technology	technology	NOUN
aiti-14192	307	21	innovation	innovation	NOUN
aiti-14192	307	22	,	,	PUNCT
aiti-14192	307	23	vol	vol	NOUN
aiti-14192	307	24	.	.	PROPN
aiti-14192	308	1	10	10	NUM
aiti-14192	308	2	,	,	PUNCT
aiti-14192	308	3	no	no	INTJ
aiti-14192	308	4	.	.	NOUN
aiti-14192	308	5	2	2	NUM
aiti-14192	308	6	,	,	PUNCT
aiti-14192	308	7	2025	2025	NUM
aiti-14192	308	8	,	,	PUNCT
aiti-14192	308	9	pp	pp	ADJ
aiti-14192	308	10	.	.	PUNCT
aiti-14192	308	11	85	85	NUM
aiti-14192	308	12	-	-	SYM
aiti-14192	308	13	101	101	NUM
aiti-14192	308	14	99	99	NUM
aiti-14192	308	15	table	table	NOUN
aiti-14192	308	16	19	19	NUM
aiti-14192	308	17	akaike	akaike	ADJ
aiti-14192	308	18	information	information	NOUN
aiti-14192	308	19	criterion	criterion	NOUN
aiti-14192	308	20	(	(	PUNCT
aiti-14192	308	21	aic	aic	PROPN
aiti-14192	308	22	)	)	PUNCT
aiti-14192	308	23	values	value	NOUN
aiti-14192	308	24	and	and	CCONJ
aiti-14192	308	25	ljung	ljung	ADJ
aiti-14192	308	26	-	-	PUNCT
aiti-14192	308	27	box	box	NOUN
aiti-14192	308	28	test	test	NOUN
aiti-14192	308	29	p	p	NOUN
aiti-14192	308	30	-	-	PUNCT
aiti-14192	308	31	values	value	NOUN
aiti-14192	308	32	for	for	ADP
aiti-14192	308	33	arimax	arimax	ADJ
aiti-14192	308	34	models	model	NOUN
aiti-14192	308	35	with	with	ADP
aiti-14192	308	36	thai	thai	ADJ
aiti-14192	308	37	bath	bath	NOUN
aiti-14192	308	38	in	in	ADP
aiti-14192	308	39	the	the	DET
aiti-14192	308	40	fourth	fourth	ADJ
aiti-14192	308	41	period	period	NOUN
aiti-14192	308	42	technique	technique	NOUN
aiti-14192	308	43	setf	setf	NOUN
aiti-14192	308	44	setp	setp	PROPN
aiti-14192	308	45	setr	setr	PROPN
aiti-14192	308	46	sets	set	VERB
aiti-14192	308	47	aic	aic	PROPN
aiti-14192	308	48	−1016.12650	−1016.12650	PROPN
aiti-14192	308	49	−1193.54	−1193.54	PROPN
aiti-14192	308	50	−1121.17	−1121.17	PROPN
aiti-14192	309	1	−1153.28	−1153.28	ADV
aiti-14192	309	2	ljung	ljung	PROPN
aiti-14192	309	3	-	-	PUNCT
aiti-14192	309	4	box	box	NOUN
aiti-14192	309	5	0.638347241	0.638347241	NUM
aiti-14192	309	6	0.379886	0.379886	NUM
aiti-14192	309	7	0.5806	0.5806	NUM
aiti-14192	309	8	0.978849	0.978849	NUM
aiti-14192	309	9	table	table	NOUN
aiti-14192	309	10	20	20	NUM
aiti-14192	309	11	configuration	configuration	NOUN
aiti-14192	309	12	of	of	ADP
aiti-14192	309	13	lags	lag	NOUN
aiti-14192	309	14	and	and	CCONJ
aiti-14192	309	15	hidden	hidden	ADJ
aiti-14192	309	16	layers	layer	NOUN
aiti-14192	309	17	in	in	ADP
aiti-14192	309	18	neural	neural	ADJ
aiti-14192	309	19	network	network	NOUN
aiti-14192	309	20	models	model	NOUN
aiti-14192	309	21	with	with	ADP
aiti-14192	309	22	thai	thai	ADJ
aiti-14192	309	23	bath	bath	NOUN
aiti-14192	309	24	for	for	ADP
aiti-14192	309	25	the	the	DET
aiti-14192	309	26	fourth	fourth	ADJ
aiti-14192	309	27	period	period	NOUN
aiti-14192	309	28	technique	technique	NOUN
aiti-14192	309	29	lags	lag	NOUN
aiti-14192	309	30	and	and	CCONJ
aiti-14192	309	31	hidden	hidden	ADJ
aiti-14192	309	32	layers	layer	NOUN
aiti-14192	309	33	setf	setf	NOUN
aiti-14192	309	34	setp	setp	PROPN
aiti-14192	309	35	setr	setr	PROPN
aiti-14192	309	36	sets	set	VERB
aiti-14192	309	37	traditional	traditional	ADJ
aiti-14192	309	38	ann	ann	PROPN
aiti-14192	309	39	lags	lag	VERB
aiti-14192	309	40	1	1	NUM
aiti-14192	309	41	1	1	NUM
aiti-14192	309	42	1	1	NUM
aiti-14192	309	43	1	1	NUM
aiti-14192	309	44	hidden	hidden	ADJ
aiti-14192	309	45	layers	layer	NOUN
aiti-14192	309	46	7	7	NUM
aiti-14192	309	47	30	30	NUM
aiti-14192	309	48	34	34	NUM
aiti-14192	309	49	30	30	NUM
aiti-14192	309	50	optimized	optimize	VERB
aiti-14192	309	51	ann	ann	PROPN
aiti-14192	309	52	lags	lag	VERB
aiti-14192	309	53	5	5	NUM
aiti-14192	309	54	3	3	NUM
aiti-14192	309	55	4	4	NUM
aiti-14192	309	56	5	5	NUM
aiti-14192	309	57	hidden	hidden	ADJ
aiti-14192	309	58	layers	layer	NOUN
aiti-14192	309	59	19	19	NUM
aiti-14192	309	60	47	47	NUM
aiti-14192	309	61	85	85	NUM
aiti-14192	309	62	53	53	NUM
aiti-14192	309	63	traditional	traditional	ADJ
aiti-14192	309	64	ernn	ernn	NOUN
aiti-14192	309	65	lags	lag	VERB
aiti-14192	309	66	1	1	NUM
aiti-14192	309	67	1	1	NUM
aiti-14192	309	68	1	1	NUM
aiti-14192	309	69	1	1	NUM
aiti-14192	309	70	hidden	hidden	ADJ
aiti-14192	309	71	layers	layer	NOUN
aiti-14192	309	72	80	80	NUM
aiti-14192	309	73	40	40	NUM
aiti-14192	309	74	46	46	NUM
aiti-14192	309	75	99	99	NUM
aiti-14192	309	76	optimized	optimize	VERB
aiti-14192	309	77	ernn	ernn	NOUN
aiti-14192	309	78	lags	lag	VERB
aiti-14192	309	79	1	1	NUM
aiti-14192	309	80	1	1	NUM
aiti-14192	309	81	1	1	NUM
aiti-14192	309	82	1	1	NUM
aiti-14192	309	83	hidden	hidden	ADJ
aiti-14192	309	84	layers	layer	NOUN
aiti-14192	309	85	46	46	NUM
aiti-14192	309	86	40	40	NUM
aiti-14192	309	87	57	57	NUM
aiti-14192	309	88	99	99	NUM
aiti-14192	309	89	5	5	NUM
aiti-14192	309	90	.	.	PUNCT
aiti-14192	310	1	conclusion	conclusion	NOUN
aiti-14192	310	2	this	this	DET
aiti-14192	310	3	study	study	NOUN
aiti-14192	310	4	has	have	AUX
aiti-14192	310	5	developed	develop	VERB
aiti-14192	310	6	a	a	DET
aiti-14192	310	7	hybrid	hybrid	ADJ
aiti-14192	310	8	forecasting	forecasting	NOUN
aiti-14192	310	9	model	model	NOUN
aiti-14192	310	10	that	that	PRON
aiti-14192	310	11	integrates	integrate	NOUN
aiti-14192	310	12	arimax	arimax	ADV
aiti-14192	310	13	with	with	ADP
aiti-14192	310	14	neural	neural	ADJ
aiti-14192	310	15	networks	network	NOUN
aiti-14192	310	16	(	(	PUNCT
aiti-14192	310	17	ann	ann	PROPN
aiti-14192	310	18	/	/	SYM
aiti-14192	310	19	ernn	ernn	PROPN
aiti-14192	310	20	)	)	PUNCT
aiti-14192	310	21	using	use	VERB
aiti-14192	310	22	an	an	DET
aiti-14192	310	23	alternative	alternative	ADJ
aiti-14192	310	24	optimization	optimization	NOUN
aiti-14192	310	25	process	process	NOUN
aiti-14192	310	26	.	.	PUNCT
aiti-14192	311	1	in	in	ADP
aiti-14192	311	2	contrast	contrast	NOUN
aiti-14192	311	3	to	to	ADP
aiti-14192	311	4	the	the	DET
aiti-14192	311	5	traditional	traditional	ADJ
aiti-14192	311	6	hybrid	hybrid	ADJ
aiti-14192	311	7	approach	approach	NOUN
aiti-14192	311	8	,	,	PUNCT
aiti-14192	311	9	where	where	SCONJ
aiti-14192	311	10	the	the	DET
aiti-14192	311	11	rmse	rmse	NOUN
aiti-14192	311	12	of	of	ADP
aiti-14192	311	13	the	the	DET
aiti-14192	311	14	nonlinear	nonlinear	ADJ
aiti-14192	311	15	component	component	NOUN
aiti-14192	311	16	is	be	AUX
aiti-14192	311	17	calculated	calculate	VERB
aiti-14192	311	18	iteratively	iteratively	ADV
aiti-14192	311	19	until	until	SCONJ
aiti-14192	311	20	the	the	DET
aiti-14192	311	21	lowest	low	ADJ
aiti-14192	311	22	value	value	NOUN
aiti-14192	311	23	is	be	AUX
aiti-14192	311	24	obtained	obtain	VERB
aiti-14192	311	25	and	and	CCONJ
aiti-14192	311	26	subsequently	subsequently	ADV
aiti-14192	311	27	added	add	VERB
aiti-14192	311	28	to	to	ADP
aiti-14192	311	29	the	the	DET
aiti-14192	311	30	linear	linear	PROPN
aiti-14192	311	31	component	component	NOUN
aiti-14192	311	32	,	,	PUNCT
aiti-14192	311	33	the	the	DET
aiti-14192	311	34	proposed	propose	VERB
aiti-14192	311	35	method	method	NOUN
aiti-14192	311	36	calculates	calculate	VERB
aiti-14192	311	37	the	the	DET
aiti-14192	311	38	rmse	rmse	NOUN
aiti-14192	311	39	after	after	SCONJ
aiti-14192	311	40	both	both	CCONJ
aiti-14192	311	41	linear	linear	ADJ
aiti-14192	311	42	and	and	CCONJ
aiti-14192	311	43	nonlinear	nonlinear	ADJ
aiti-14192	311	44	components	component	NOUN
aiti-14192	311	45	are	be	AUX
aiti-14192	311	46	combined	combine	VERB
aiti-14192	311	47	.	.	PUNCT
aiti-14192	312	1	this	this	DET
aiti-14192	312	2	rmse	rmse	NOUN
aiti-14192	312	3	is	be	AUX
aiti-14192	312	4	subsequently	subsequently	ADV
aiti-14192	312	5	refined	refine	VERB
aiti-14192	312	6	through	through	ADP
aiti-14192	312	7	iterative	iterative	NOUN
aiti-14192	312	8	looping	loop	VERB
aiti-14192	312	9	until	until	SCONJ
aiti-14192	312	10	the	the	DET
aiti-14192	312	11	least	least	ADJ
aiti-14192	312	12	rmse	rmse	NOUN
aiti-14192	312	13	is	be	AUX
aiti-14192	312	14	achieved	achieve	VERB
aiti-14192	312	15	,	,	PUNCT
aiti-14192	312	16	ensuring	ensure	VERB
aiti-14192	312	17	a	a	DET
aiti-14192	312	18	more	more	ADV
aiti-14192	312	19	accurate	accurate	ADJ
aiti-14192	312	20	optimization	optimization	NOUN
aiti-14192	312	21	process	process	NOUN
aiti-14192	312	22	for	for	ADP
aiti-14192	312	23	the	the	DET
aiti-14192	312	24	hybrid	hybrid	ADJ
aiti-14192	312	25	model	model	NOUN
aiti-14192	312	26	.	.	PUNCT
aiti-14192	313	1	the	the	DET
aiti-14192	313	2	proposed	propose	VERB
aiti-14192	313	3	methodology	methodology	NOUN
aiti-14192	313	4	demonstrates	demonstrate	VERB
aiti-14192	313	5	significant	significant	ADJ
aiti-14192	313	6	improvements	improvement	NOUN
aiti-14192	313	7	in	in	ADP
aiti-14192	313	8	predictive	predictive	ADJ
aiti-14192	313	9	accuracy	accuracy	NOUN
aiti-14192	313	10	by	by	ADP
aiti-14192	313	11	effectively	effectively	ADV
aiti-14192	313	12	capturing	capture	VERB
aiti-14192	313	13	both	both	CCONJ
aiti-14192	313	14	linear	linear	ADJ
aiti-14192	313	15	and	and	CCONJ
aiti-14192	313	16	nonlinear	nonlinear	ADJ
aiti-14192	313	17	components	component	NOUN
aiti-14192	313	18	in	in	ADP
aiti-14192	313	19	the	the	DET
aiti-14192	313	20	set	set	NOUN
aiti-14192	313	21	index	index	NOUN
aiti-14192	313	22	across	across	ADP
aiti-14192	313	23	eight	eight	NUM
aiti-14192	313	24	industries	industry	NOUN
aiti-14192	313	25	during	during	ADP
aiti-14192	313	26	the	the	DET
aiti-14192	313	27	covid-19	covid-19	PROPN
aiti-14192	313	28	period	period	NOUN
aiti-14192	313	29	.	.	PUNCT
aiti-14192	314	1	according	accord	VERB
aiti-14192	314	2	to	to	ADP
aiti-14192	314	3	the	the	DET
aiti-14192	314	4	results	result	NOUN
aiti-14192	314	5	,	,	PUNCT
aiti-14192	314	6	the	the	DET
aiti-14192	314	7	optimized	optimize	VERB
aiti-14192	314	8	hybrid	hybrid	NOUN
aiti-14192	314	9	models	model	NOUN
aiti-14192	314	10	achieved	achieve	VERB
aiti-14192	314	11	the	the	DET
aiti-14192	314	12	lowest	low	ADJ
aiti-14192	314	13	rmse	rmse	NOUN
aiti-14192	314	14	.	.	PUNCT
aiti-14192	315	1	these	these	DET
aiti-14192	315	2	findings	finding	NOUN
aiti-14192	315	3	confirm	confirm	VERB
aiti-14192	315	4	that	that	SCONJ
aiti-14192	315	5	the	the	DET
aiti-14192	315	6	proposed	propose	VERB
aiti-14192	315	7	optimization	optimization	NOUN
aiti-14192	315	8	process	process	NOUN
aiti-14192	315	9	in	in	ADP
aiti-14192	315	10	hybrid	hybrid	ADJ
aiti-14192	315	11	arimax	arimax	PROPN
aiti-14192	315	12	-	-	PUNCT
aiti-14192	315	13	ann	ann	PROPN
aiti-14192	315	14	and	and	CCONJ
aiti-14192	315	15	arimax	arimax	ADJ
aiti-14192	315	16	-	-	PUNCT
aiti-14192	315	17	ernn	ernn	PROPN
aiti-14192	315	18	models	model	NOUN
aiti-14192	315	19	outperforms	outperform	VERB
aiti-14192	315	20	the	the	DET
aiti-14192	315	21	traditional	traditional	ADJ
aiti-14192	315	22	hybrid	hybrid	ADJ
aiti-14192	315	23	model	model	NOUN
aiti-14192	315	24	and	and	CCONJ
aiti-14192	315	25	traditional	traditional	ADJ
aiti-14192	315	26	arimax	arimax	ADJ
aiti-14192	315	27	model	model	NOUN
aiti-14192	315	28	,	,	PUNCT
aiti-14192	315	29	showing	show	VERB
aiti-14192	315	30	its	its	PRON
aiti-14192	315	31	effectiveness	effectiveness	NOUN
aiti-14192	315	32	in	in	ADP
aiti-14192	315	33	enhancing	enhance	VERB
aiti-14192	315	34	forecasting	forecasting	NOUN
aiti-14192	315	35	model	model	NOUN
aiti-14192	315	36	accuracy	accuracy	NOUN
aiti-14192	315	37	.	.	PUNCT
aiti-14192	316	1	conflicts	conflict	NOUN
aiti-14192	316	2	of	of	ADP
aiti-14192	316	3	interest	interest	NOUN
aiti-14192	316	4	the	the	DET
aiti-14192	316	5	authors	author	NOUN
aiti-14192	316	6	declare	declare	VERB
aiti-14192	316	7	no	no	DET
aiti-14192	316	8	conflict	conflict	NOUN
aiti-14192	316	9	of	of	ADP
aiti-14192	316	10	interest	interest	NOUN
aiti-14192	316	11	.	.	PUNCT
aiti-14192	317	1	references	reference	NOUN
aiti-14192	317	2	[	[	X
aiti-14192	317	3	1	1	X
aiti-14192	317	4	]	]	PUNCT
aiti-14192	317	5	k.	k.	PROPN
aiti-14192	317	6	a.	a.	PROPN
aiti-14192	317	7	ababio	ababio	PROPN
aiti-14192	317	8	,	,	PUNCT
aiti-14192	317	9	“	"	PUNCT
aiti-14192	317	10	comparative	comparative	ADJ
aiti-14192	317	11	study	study	NOUN
aiti-14192	317	12	of	of	ADP
aiti-14192	317	13	stock	stock	NOUN
aiti-14192	317	14	price	price	NOUN
aiti-14192	317	15	forecasting	forecasting	NOUN
aiti-14192	317	16	using	use	VERB
aiti-14192	317	17	arima	arima	PROPN
aiti-14192	317	18	and	and	CCONJ
aiti-14192	317	19	arimax	arimax	PROPN
aiti-14192	317	20	models	model	NOUN
aiti-14192	317	21	,	,	PUNCT
aiti-14192	317	22	”	"	PUNCT
aiti-14192	317	23	ph.d	ph.d	PROPN
aiti-14192	317	24	.	.	PUNCT
aiti-14192	318	1	dissertation	dissertation	NOUN
aiti-14192	318	2	,	,	PUNCT
aiti-14192	318	3	department	department	NOUN
aiti-14192	318	4	of	of	ADP
aiti-14192	318	5	mathematics	mathematics	PROPN
aiti-14192	318	6	,	,	PUNCT
aiti-14192	318	7	kwame	kwame	PROPN
aiti-14192	318	8	nkrumah	nkrumah	PROPN
aiti-14192	318	9	university	university	PROPN
aiti-14192	318	10	of	of	ADP
aiti-14192	318	11	science	science	NOUN
aiti-14192	318	12	and	and	CCONJ
aiti-14192	318	13	technology	technology	NOUN
aiti-14192	318	14	,	,	PUNCT
aiti-14192	318	15	kumasi	kumasi	NOUN
aiti-14192	318	16	,	,	PUNCT
aiti-14192	318	17	2012	2012	NUM
aiti-14192	318	18	.	.	PUNCT
aiti-14192	319	1	[	[	X
aiti-14192	319	2	2	2	X
aiti-14192	319	3	]	]	PUNCT
aiti-14192	319	4	d.	d.	PROPN
aiti-14192	319	5	k.	k.	PROPN
aiti-14192	319	6	shetty	shetty	PROPN
aiti-14192	319	7	and	and	CCONJ
aiti-14192	319	8	b.	b.	PROPN
aiti-14192	319	9	ismail	ismail	PROPN
aiti-14192	319	10	,	,	PUNCT
aiti-14192	319	11	“	"	PUNCT
aiti-14192	319	12	forecasting	forecast	VERB
aiti-14192	319	13	stock	stock	NOUN
aiti-14192	319	14	prices	price	NOUN
aiti-14192	319	15	using	use	VERB
aiti-14192	319	16	hybrid	hybrid	ADJ
aiti-14192	319	17	non	non	ADJ
aiti-14192	319	18	-	-	ADJ
aiti-14192	319	19	stationary	stationary	ADJ
aiti-14192	319	20	time	time	NOUN
aiti-14192	319	21	series	series	PROPN
aiti-14192	319	22	model	model	NOUN
aiti-14192	319	23	with	with	ADP
aiti-14192	319	24	ernn	ernn	NOUN
aiti-14192	319	25	,	,	PUNCT
aiti-14192	319	26	”	"	PUNCT
aiti-14192	319	27	communications	communication	NOUN
aiti-14192	319	28	in	in	ADP
aiti-14192	319	29	statistics	statistic	NOUN
aiti-14192	319	30	-	-	PUNCT
aiti-14192	319	31	simulation	simulation	NOUN
aiti-14192	319	32	and	and	CCONJ
aiti-14192	319	33	computation	computation	NOUN
aiti-14192	319	34	,	,	PUNCT
aiti-14192	319	35	vol	vol	NOUN
aiti-14192	319	36	.	.	PROPN
aiti-14192	319	37	52	52	NUM
aiti-14192	319	38	,	,	PUNCT
aiti-14192	319	39	no	no	INTJ
aiti-14192	319	40	.	.	NOUN
aiti-14192	319	41	3	3	NUM
aiti-14192	319	42	,	,	PUNCT
aiti-14192	319	43	pp	pp	ADJ
aiti-14192	319	44	.	.	PUNCT
aiti-14192	320	1	1026	1026	NUM
aiti-14192	320	2	-	-	SYM
aiti-14192	320	3	1040	1040	NUM
aiti-14192	320	4	,	,	PUNCT
aiti-14192	320	5	2023	2023	NUM
aiti-14192	320	6	.	.	PUNCT
aiti-14192	321	1	[	[	X
aiti-14192	321	2	3	3	X
aiti-14192	321	3	]	]	PUNCT
aiti-14192	321	4	p.	p.	NOUN
aiti-14192	321	5	almaleck	almaleck	PROPN
aiti-14192	321	6	,	,	PUNCT
aiti-14192	321	7	s.	s.	PROPN
aiti-14192	321	8	massucco	massucco	PROPN
aiti-14192	321	9	,	,	PUNCT
aiti-14192	321	10	g.	g.	PROPN
aiti-14192	321	11	mosaico	mosaico	PROPN
aiti-14192	321	12	,	,	PUNCT
aiti-14192	321	13	m.	m.	NOUN
aiti-14192	321	14	saviozzi	saviozzi	NOUN
aiti-14192	321	15	,	,	PUNCT
aiti-14192	321	16	p.	p.	PROPN
aiti-14192	321	17	serra	serra	PROPN
aiti-14192	321	18	,	,	PUNCT
aiti-14192	321	19	and	and	CCONJ
aiti-14192	321	20	f.	f.	PROPN
aiti-14192	321	21	silvestro	silvestro	PROPN
aiti-14192	321	22	,	,	PUNCT
aiti-14192	321	23	“	"	PUNCT
aiti-14192	321	24	electrical	electrical	ADJ
aiti-14192	321	25	consumption	consumption	NOUN
aiti-14192	321	26	forecasting	forecasting	NOUN
aiti-14192	321	27	in	in	ADP
aiti-14192	321	28	sports	sport	NOUN
aiti-14192	321	29	venues	venue	NOUN
aiti-14192	321	30	:	:	PUNCT
aiti-14192	321	31	a	a	DET
aiti-14192	321	32	proposed	propose	VERB
aiti-14192	321	33	approach	approach	NOUN
aiti-14192	321	34	based	base	VERB
aiti-14192	321	35	on	on	ADP
aiti-14192	321	36	neural	neural	ADJ
aiti-14192	321	37	networks	network	NOUN
aiti-14192	321	38	and	and	CCONJ
aiti-14192	321	39	arimax	arimax	ADJ
aiti-14192	321	40	models	model	NOUN
aiti-14192	321	41	,	,	PUNCT
aiti-14192	321	42	”	"	PUNCT
aiti-14192	321	43	sustainable	sustainable	ADJ
aiti-14192	321	44	cities	city	NOUN
aiti-14192	321	45	and	and	CCONJ
aiti-14192	321	46	society	society	NOUN
aiti-14192	321	47	,	,	PUNCT
aiti-14192	321	48	vol	vol	NOUN
aiti-14192	321	49	.	.	PROPN
aiti-14192	321	50	100	100	NUM
aiti-14192	321	51	,	,	PUNCT
aiti-14192	321	52	article	article	NOUN
aiti-14192	321	53	no	no	NOUN
aiti-14192	321	54	.	.	PROPN
aiti-14192	321	55	105019	105019	NUM
aiti-14192	321	56	,	,	PUNCT
aiti-14192	321	57	2024	2024	NUM
aiti-14192	321	58	.	.	PUNCT
aiti-14192	322	1	[	[	X
aiti-14192	322	2	4	4	NUM
aiti-14192	322	3	]	]	PUNCT
aiti-14192	322	4	a.	a.	NOUN
aiti-14192	322	5	a.	a.	NOUN
aiti-14192	322	6	pierre	pierre	PROPN
aiti-14192	322	7	,	,	PUNCT
aiti-14192	322	8	s.	s.	PROPN
aiti-14192	322	9	a.	a.	PROPN
aiti-14192	322	10	akim	akim	PROPN
aiti-14192	322	11	,	,	PUNCT
aiti-14192	322	12	a.	a.	PROPN
aiti-14192	322	13	k.	k.	PROPN
aiti-14192	322	14	semenyo	semenyo	PROPN
aiti-14192	322	15	,	,	PUNCT
aiti-14192	322	16	and	and	CCONJ
aiti-14192	322	17	b.	b.	PROPN
aiti-14192	322	18	babiga	babiga	PROPN
aiti-14192	322	19	,	,	PUNCT
aiti-14192	322	20	“	"	PUNCT
aiti-14192	322	21	peak	peak	ADJ
aiti-14192	322	22	electrical	electrical	ADJ
aiti-14192	322	23	energy	energy	NOUN
aiti-14192	322	24	consumption	consumption	NOUN
aiti-14192	322	25	prediction	prediction	NOUN
aiti-14192	322	26	by	by	ADP
aiti-14192	322	27	arima	arima	PROPN
aiti-14192	322	28	,	,	PUNCT
aiti-14192	322	29	lstm	lstm	PROPN
aiti-14192	322	30	,	,	PUNCT
aiti-14192	322	31	gru	gru	PROPN
aiti-14192	322	32	,	,	PUNCT
aiti-14192	322	33	arima	arima	NOUN
aiti-14192	322	34	-	-	PUNCT
aiti-14192	322	35	lstm	lstm	PROPN
aiti-14192	322	36	and	and	CCONJ
aiti-14192	322	37	arima	arima	PROPN
aiti-14192	322	38	-	-	PUNCT
aiti-14192	322	39	gru	gru	NOUN
aiti-14192	322	40	approaches	approach	NOUN
aiti-14192	322	41	,	,	PUNCT
aiti-14192	322	42	”	"	PUNCT
aiti-14192	322	43	energies	energy	NOUN
aiti-14192	322	44	,	,	PUNCT
aiti-14192	322	45	vol	vol	NOUN
aiti-14192	322	46	.	.	PROPN
aiti-14192	322	47	16	16	NUM
aiti-14192	322	48	,	,	PUNCT
aiti-14192	322	49	no	no	INTJ
aiti-14192	322	50	.	.	NOUN
aiti-14192	322	51	12	12	NUM
aiti-14192	322	52	,	,	PUNCT
aiti-14192	322	53	article	article	NOUN
aiti-14192	322	54	no	no	NOUN
aiti-14192	322	55	.	.	PROPN
aiti-14192	322	56	4739	4739	NUM
aiti-14192	322	57	,	,	PUNCT
aiti-14192	322	58	2023	2023	NUM
aiti-14192	322	59	.	.	PUNCT
aiti-14192	323	1	[	[	X
aiti-14192	323	2	5	5	NUM
aiti-14192	323	3	]	]	X
aiti-14192	323	4	d.	d.	PROPN
aiti-14192	323	5	xu	xu	PROPN
aiti-14192	323	6	,	,	PUNCT
aiti-14192	323	7	q.	q.	PROPN
aiti-14192	323	8	zhang	zhang	PROPN
aiti-14192	323	9	,	,	PUNCT
aiti-14192	323	10	y.	y.	PROPN
aiti-14192	323	11	ding	ding	PROPN
aiti-14192	323	12	,	,	PUNCT
aiti-14192	323	13	and	and	CCONJ
aiti-14192	323	14	d.	d.	PROPN
aiti-14192	323	15	zhang	zhang	PROPN
aiti-14192	323	16	,	,	PUNCT
aiti-14192	323	17	“	"	PUNCT
aiti-14192	323	18	application	application	NOUN
aiti-14192	323	19	of	of	ADP
aiti-14192	323	20	a	a	DET
aiti-14192	323	21	hybrid	hybrid	ADJ
aiti-14192	323	22	arima	arima	NOUN
aiti-14192	323	23	-	-	PUNCT
aiti-14192	323	24	lstm	lstm	NOUN
aiti-14192	323	25	model	model	NOUN
aiti-14192	323	26	based	base	VERB
aiti-14192	323	27	on	on	ADP
aiti-14192	323	28	the	the	DET
aiti-14192	323	29	spei	spei	NOUN
aiti-14192	323	30	for	for	ADP
aiti-14192	323	31	drought	drought	NOUN
aiti-14192	323	32	forecasting	forecasting	NOUN
aiti-14192	323	33	,	,	PUNCT
aiti-14192	323	34	”	"	PUNCT
aiti-14192	323	35	environmental	environmental	ADJ
aiti-14192	323	36	science	science	NOUN
aiti-14192	323	37	and	and	CCONJ
aiti-14192	323	38	pollution	pollution	NOUN
aiti-14192	323	39	research	research	NOUN
aiti-14192	323	40	,	,	PUNCT
aiti-14192	323	41	vol	vol	NOUN
aiti-14192	323	42	.	.	PROPN
aiti-14192	323	43	29	29	NUM
aiti-14192	323	44	,	,	PUNCT
aiti-14192	323	45	no	no	INTJ
aiti-14192	323	46	.	.	NOUN
aiti-14192	323	47	3	3	NUM
aiti-14192	323	48	,	,	PUNCT
aiti-14192	323	49	pp	pp	ADJ
aiti-14192	323	50	.	.	PUNCT
aiti-14192	323	51	4128	4128	NUM
aiti-14192	323	52	-	-	SYM
aiti-14192	323	53	4144	4144	NUM
aiti-14192	323	54	,	,	PUNCT
aiti-14192	323	55	2022	2022	NUM
aiti-14192	323	56	.	.	PUNCT
aiti-14192	324	1	[	[	X
aiti-14192	324	2	6	6	NUM
aiti-14192	324	3	]	]	PUNCT
aiti-14192	324	4	a.	a.	PROPN
aiti-14192	324	5	s.	s.	PROPN
aiti-14192	324	6	azad	azad	PROPN
aiti-14192	324	7	,	,	PUNCT
aiti-14192	324	8	r.	r.	PROPN
aiti-14192	324	9	sokkalingam	sokkalingam	PROPN
aiti-14192	324	10	,	,	PUNCT
aiti-14192	324	11	h.	h.	PROPN
aiti-14192	324	12	daud	daud	PROPN
aiti-14192	324	13	,	,	PUNCT
aiti-14192	324	14	s.	s.	PROPN
aiti-14192	324	15	k.	k.	PROPN
aiti-14192	324	16	adhikary	adhikary	PROPN
aiti-14192	324	17	,	,	PUNCT
aiti-14192	324	18	h.	h.	PROPN
aiti-14192	324	19	khurshid	khurshid	PROPN
aiti-14192	324	20	,	,	PUNCT
aiti-14192	324	21	s.	s.	PROPN
aiti-14192	324	22	n.	n.	PROPN
aiti-14192	324	23	a.	a.	PROPN
aiti-14192	324	24	mazlan	mazlan	PROPN
aiti-14192	324	25	,	,	PUNCT
aiti-14192	324	26	et	et	PROPN
aiti-14192	324	27	al	al	PROPN
aiti-14192	324	28	.	.	PROPN
aiti-14192	324	29	,	,	PUNCT
aiti-14192	324	30	“	"	PUNCT
aiti-14192	324	31	water	water	NOUN
aiti-14192	324	32	level	level	NOUN
aiti-14192	324	33	prediction	prediction	NOUN
aiti-14192	324	34	through	through	ADP
aiti-14192	324	35	hybrid	hybrid	ADJ
aiti-14192	324	36	sarima	sarima	NOUN
aiti-14192	324	37	and	and	CCONJ
aiti-14192	324	38	ann	ann	PROPN
aiti-14192	324	39	models	model	NOUN
aiti-14192	324	40	based	base	VERB
aiti-14192	324	41	on	on	ADP
aiti-14192	324	42	time	time	NOUN
aiti-14192	324	43	series	series	PROPN
aiti-14192	324	44	analysis	analysis	NOUN
aiti-14192	324	45	:	:	PUNCT
aiti-14192	324	46	red	red	ADJ
aiti-14192	324	47	hills	hills	PROPN
aiti-14192	324	48	reservoir	reservoir	NOUN
aiti-14192	324	49	case	case	NOUN
aiti-14192	324	50	study	study	NOUN
aiti-14192	324	51	,	,	PUNCT
aiti-14192	324	52	”	"	PUNCT
aiti-14192	324	53	sustainability	sustainability	NOUN
aiti-14192	324	54	,	,	PUNCT
aiti-14192	324	55	vol	vol	NOUN
aiti-14192	324	56	.	.	PROPN
aiti-14192	325	1	14	14	NUM
aiti-14192	325	2	,	,	PUNCT
aiti-14192	325	3	no	no	INTJ
aiti-14192	325	4	.	.	NOUN
aiti-14192	325	5	3	3	NUM
aiti-14192	325	6	,	,	PUNCT
aiti-14192	325	7	article	article	NOUN
aiti-14192	325	8	no	no	NOUN
aiti-14192	325	9	.	.	PROPN
aiti-14192	326	1	1843	1843	NUM
aiti-14192	326	2	,	,	PUNCT
aiti-14192	326	3	2022	2022	NUM
aiti-14192	326	4	.	.	PUNCT
aiti-14192	327	1	100	100	NUM
aiti-14192	327	2	advances	advance	NOUN
aiti-14192	327	3	in	in	ADP
aiti-14192	327	4	technology	technology	NOUN
aiti-14192	327	5	innovation	innovation	NOUN
aiti-14192	327	6	,	,	PUNCT
aiti-14192	327	7	vol	vol	NOUN
aiti-14192	327	8	.	.	PROPN
aiti-14192	327	9	10	10	NUM
aiti-14192	327	10	,	,	PUNCT
aiti-14192	327	11	no	no	INTJ
aiti-14192	327	12	.	.	NOUN
aiti-14192	327	13	2	2	NUM
aiti-14192	327	14	,	,	PUNCT
aiti-14192	327	15	2025	2025	NUM
aiti-14192	327	16	,	,	PUNCT
aiti-14192	327	17	pp	pp	ADJ
aiti-14192	327	18	.	.	PUNCT
aiti-14192	327	19	85	85	NUM
aiti-14192	327	20	-	-	SYM
aiti-14192	327	21	101	101	NUM
aiti-14192	327	22	[	[	X
aiti-14192	327	23	7	7	X
aiti-14192	327	24	]	]	PUNCT
aiti-14192	327	25	k.	k.	PROPN
aiti-14192	327	26	nualtong	nualtong	PROPN
aiti-14192	327	27	,	,	PUNCT
aiti-14192	327	28	t.	t.	NOUN
aiti-14192	327	29	panityakul	panityakul	NOUN
aiti-14192	327	30	,	,	PUNCT
aiti-14192	327	31	p.	p.	PROPN
aiti-14192	327	32	khwanmuang	khwanmuang	PROPN
aiti-14192	327	33	,	,	PUNCT
aiti-14192	327	34	r.	r.	PROPN
aiti-14192	327	35	chinram	chinram	PROPN
aiti-14192	327	36	,	,	PUNCT
aiti-14192	327	37	and	and	CCONJ
aiti-14192	327	38	s.	s.	PROPN
aiti-14192	327	39	kirtsaeng	kirtsaeng	PROPN
aiti-14192	327	40	,	,	PUNCT
aiti-14192	327	41	“	"	PUNCT
aiti-14192	327	42	a	a	DET
aiti-14192	327	43	hybrid	hybrid	ADJ
aiti-14192	327	44	seasonal	seasonal	PROPN
aiti-14192	327	45	box	box	PROPN
aiti-14192	327	46	jenkins	jenkins	PROPN
aiti-14192	327	47	-	-	PUNCT
aiti-14192	327	48	ann	ann	PROPN
aiti-14192	327	49	approach	approach	NOUN
aiti-14192	327	50	for	for	ADP
aiti-14192	327	51	water	water	NOUN
aiti-14192	327	52	level	level	NOUN
aiti-14192	327	53	forecasting	forecasting	NOUN
aiti-14192	327	54	in	in	ADP
aiti-14192	327	55	thailand	thailand	PROPN
aiti-14192	327	56	,	,	PUNCT
aiti-14192	327	57	”	"	PUNCT
aiti-14192	327	58	environment	environment	NOUN
aiti-14192	327	59	and	and	CCONJ
aiti-14192	327	60	ecology	ecology	NOUN
aiti-14192	327	61	research	research	NOUN
aiti-14192	327	62	,	,	PUNCT
aiti-14192	327	63	vol	vol	NOUN
aiti-14192	327	64	.	.	PROPN
aiti-14192	327	65	9	9	NUM
aiti-14192	327	66	,	,	PUNCT
aiti-14192	327	67	no	no	INTJ
aiti-14192	327	68	.	.	NOUN
aiti-14192	327	69	3	3	NUM
aiti-14192	327	70	,	,	PUNCT
aiti-14192	327	71	pp	pp	ADJ
aiti-14192	327	72	.	.	PUNCT
aiti-14192	328	1	93	93	NUM
aiti-14192	328	2	-	-	SYM
aiti-14192	328	3	106	106	NUM
aiti-14192	328	4	,	,	PUNCT
aiti-14192	328	5	2021	2021	NUM
aiti-14192	328	6	.	.	PUNCT
aiti-14192	329	1	[	[	X
aiti-14192	329	2	8	8	X
aiti-14192	329	3	]	]	PUNCT
aiti-14192	329	4	s.	s.	PROPN
aiti-14192	329	5	a.	a.	PROPN
aiti-14192	329	6	shahriar	shahriar	PROPN
aiti-14192	329	7	,	,	PUNCT
aiti-14192	329	8	i.	i.	PROPN
aiti-14192	329	9	kayes	kayes	PROPN
aiti-14192	329	10	,	,	PUNCT
aiti-14192	329	11	k.	k.	PROPN
aiti-14192	329	12	hasan	hasan	PROPN
aiti-14192	329	13	,	,	PUNCT
aiti-14192	329	14	m.	m.	PROPN
aiti-14192	329	15	hasan	hasan	PROPN
aiti-14192	329	16	,	,	PUNCT
aiti-14192	329	17	r.	r.	PROPN
aiti-14192	329	18	islam	islam	PROPN
aiti-14192	329	19	,	,	PUNCT
aiti-14192	329	20	n.	n.	PROPN
aiti-14192	329	21	r.	r.	PROPN
aiti-14192	329	22	awang	awang	PROPN
aiti-14192	329	23	,	,	PUNCT
aiti-14192	329	24	et	et	PROPN
aiti-14192	329	25	al	al	PROPN
aiti-14192	329	26	.	.	PROPN
aiti-14192	329	27	,	,	PUNCT
aiti-14192	329	28	“	"	PUNCT
aiti-14192	329	29	potential	potential	NOUN
aiti-14192	329	30	of	of	ADP
aiti-14192	329	31	arima	arima	PROPN
aiti-14192	329	32	-	-	PUNCT
aiti-14192	329	33	ann	ann	PROPN
aiti-14192	329	34	,	,	PUNCT
aiti-14192	329	35	arimasvm	arimasvm	PROPN
aiti-14192	329	36	,	,	PUNCT
aiti-14192	329	37	dt	dt	PUNCT
aiti-14192	329	38	and	and	CCONJ
aiti-14192	329	39	catboost	catboost	VERB
aiti-14192	329	40	for	for	ADP
aiti-14192	329	41	atmospheric	atmospheric	ADJ
aiti-14192	329	42	pm2.5	pm2.5	PROPN
aiti-14192	329	43	forecasting	forecasting	NOUN
aiti-14192	329	44	in	in	ADP
aiti-14192	329	45	bangladesh	bangladesh	NOUN
aiti-14192	329	46	,	,	PUNCT
aiti-14192	329	47	”	"	PUNCT
aiti-14192	329	48	atmosphere	atmosphere	NOUN
aiti-14192	329	49	,	,	PUNCT
aiti-14192	329	50	vol	vol	NOUN
aiti-14192	329	51	.	.	PROPN
aiti-14192	329	52	12	12	NUM
aiti-14192	329	53	,	,	PUNCT
aiti-14192	329	54	no	no	INTJ
aiti-14192	329	55	.	.	NOUN
aiti-14192	329	56	1	1	NUM
aiti-14192	329	57	,	,	PUNCT
aiti-14192	329	58	article	article	NOUN
aiti-14192	329	59	no	no	NOUN
aiti-14192	329	60	..	..	PROPN
aiti-14192	329	61	100	100	NUM
aiti-14192	329	62	,	,	PUNCT
aiti-14192	329	63	2021	2021	NUM
aiti-14192	329	64	.	.	PUNCT
aiti-14192	330	1	[	[	X
aiti-14192	330	2	9	9	NUM
aiti-14192	330	3	]	]	X
aiti-14192	330	4	d.	d.	PROPN
aiti-14192	330	5	fan	fan	PROPN
aiti-14192	330	6	,	,	PUNCT
aiti-14192	330	7	h.	h.	PROPN
aiti-14192	330	8	sun	sun	PROPN
aiti-14192	330	9	,	,	PUNCT
aiti-14192	330	10	j.	j.	PROPN
aiti-14192	330	11	yao	yao	PROPN
aiti-14192	330	12	,	,	PUNCT
aiti-14192	330	13	k.	k.	PROPN
aiti-14192	330	14	zhang	zhang	PROPN
aiti-14192	330	15	,	,	PUNCT
aiti-14192	330	16	x.	x.	PROPN
aiti-14192	330	17	yan	yan	PROPN
aiti-14192	330	18	,	,	PUNCT
aiti-14192	330	19	and	and	CCONJ
aiti-14192	330	20	z.	z.	PROPN
aiti-14192	330	21	sun	sun	PROPN
aiti-14192	330	22	,	,	PUNCT
aiti-14192	330	23	“	"	PUNCT
aiti-14192	330	24	well	well	INTJ
aiti-14192	330	25	production	production	NOUN
aiti-14192	330	26	forecasting	forecasting	NOUN
aiti-14192	330	27	based	base	VERB
aiti-14192	330	28	on	on	ADP
aiti-14192	330	29	arima	arima	NOUN
aiti-14192	330	30	-	-	PUNCT
aiti-14192	330	31	lstm	lstm	PROPN
aiti-14192	330	32	model	model	NOUN
aiti-14192	330	33	considering	consider	VERB
aiti-14192	330	34	manual	manual	ADJ
aiti-14192	330	35	operations	operation	NOUN
aiti-14192	330	36	,	,	PUNCT
aiti-14192	330	37	”	"	PUNCT
aiti-14192	330	38	energy	energy	NOUN
aiti-14192	330	39	,	,	PUNCT
aiti-14192	330	40	vol	vol	NOUN
aiti-14192	330	41	.	.	NOUN
aiti-14192	330	42	220	220	NUM
aiti-14192	330	43	,	,	PUNCT
aiti-14192	330	44	article	article	NOUN
aiti-14192	330	45	no	no	NOUN
aiti-14192	330	46	.	.	PROPN
aiti-14192	331	1	119708	119708	NUM
aiti-14192	331	2	,	,	PUNCT
aiti-14192	331	3	2021	2021	NUM
aiti-14192	331	4	.	.	PUNCT
aiti-14192	332	1	[	[	X
aiti-14192	332	2	10	10	NUM
aiti-14192	332	3	]	]	PUNCT
aiti-14192	332	4	m.	m.	NOUN
aiti-14192	332	5	wang	wang	PROPN
aiti-14192	332	6	,	,	PUNCT
aiti-14192	332	7	j.	j.	PROPN
aiti-14192	332	8	pan	pan	PROPN
aiti-14192	332	9	,	,	PUNCT
aiti-14192	332	10	x.	x.	PROPN
aiti-14192	332	11	li	li	PROPN
aiti-14192	332	12	,	,	PUNCT
aiti-14192	332	13	m.	m.	PROPN
aiti-14192	332	14	li	li	PROPN
aiti-14192	332	15	,	,	PUNCT
aiti-14192	332	16	z.	z.	PROPN
aiti-14192	332	17	liu	liu	PROPN
aiti-14192	332	18	,	,	PUNCT
aiti-14192	332	19	q.	q.	PROPN
aiti-14192	332	20	zhao	zhao	PROPN
aiti-14192	332	21	,	,	PUNCT
aiti-14192	332	22	et	et	PROPN
aiti-14192	332	23	al	al	PROPN
aiti-14192	332	24	.	.	PROPN
aiti-14192	332	25	,	,	PUNCT
aiti-14192	332	26	“	"	PUNCT
aiti-14192	332	27	arima	arima	NOUN
aiti-14192	332	28	and	and	CCONJ
aiti-14192	332	29	arima	arima	NOUN
aiti-14192	332	30	-	-	PUNCT
aiti-14192	332	31	ernn	ernn	PROPN
aiti-14192	332	32	models	model	NOUN
aiti-14192	332	33	for	for	ADP
aiti-14192	332	34	prediction	prediction	NOUN
aiti-14192	332	35	of	of	ADP
aiti-14192	332	36	pertussis	pertussis	NOUN
aiti-14192	332	37	incidence	incidence	NOUN
aiti-14192	332	38	in	in	ADP
aiti-14192	332	39	mainland	mainland	NOUN
aiti-14192	332	40	china	china	PROPN
aiti-14192	332	41	from	from	ADP
aiti-14192	332	42	2004	2004	NUM
aiti-14192	332	43	to	to	ADP
aiti-14192	332	44	2021	2021	NUM
aiti-14192	332	45	,	,	PUNCT
aiti-14192	332	46	”	"	PUNCT
aiti-14192	332	47	bmc	bmc	ADJ
aiti-14192	332	48	public	public	ADJ
aiti-14192	332	49	health	health	NOUN
aiti-14192	332	50	,	,	PUNCT
aiti-14192	332	51	vol	vol	NOUN
aiti-14192	332	52	.	.	PROPN
aiti-14192	333	1	22	22	NUM
aiti-14192	333	2	,	,	PUNCT
aiti-14192	333	3	no	no	INTJ
aiti-14192	333	4	.	.	NOUN
aiti-14192	333	5	1	1	NUM
aiti-14192	333	6	,	,	PUNCT
aiti-14192	333	7	article	article	NOUN
aiti-14192	333	8	no	no	NOUN
aiti-14192	333	9	.	.	PROPN
aiti-14192	333	10	1447	1447	NUM
aiti-14192	333	11	,	,	PUNCT
aiti-14192	333	12	2022	2022	NUM
aiti-14192	333	13	.	.	PUNCT
aiti-14192	334	1	[	[	X
aiti-14192	334	2	11	11	NUM
aiti-14192	334	3	]	]	PUNCT
aiti-14192	334	4	a.	a.	NOUN
aiti-14192	334	5	sharma	sharma	PROPN
aiti-14192	334	6	,	,	PUNCT
aiti-14192	334	7	p.	p.	PROPN
aiti-14192	334	8	tiwari	tiwari	PROPN
aiti-14192	334	9	,	,	PUNCT
aiti-14192	334	10	a.	a.	PROPN
aiti-14192	334	11	gupta	gupta	PROPN
aiti-14192	334	12	,	,	PUNCT
aiti-14192	334	13	and	and	CCONJ
aiti-14192	334	14	p.	p.	NOUN
aiti-14192	334	15	garg	garg	NOUN
aiti-14192	334	16	,	,	PUNCT
aiti-14192	334	17	“	"	PUNCT
aiti-14192	334	18	use	use	NOUN
aiti-14192	334	19	of	of	ADP
aiti-14192	334	20	lstm	lstm	NOUN
aiti-14192	334	21	and	and	CCONJ
aiti-14192	334	22	arimax	arimax	ADJ
aiti-14192	334	23	algorithms	algorithm	NOUN
aiti-14192	334	24	to	to	PART
aiti-14192	334	25	analyze	analyze	VERB
aiti-14192	334	26	impact	impact	NOUN
aiti-14192	334	27	of	of	ADP
aiti-14192	334	28	sentiment	sentiment	NOUN
aiti-14192	334	29	analysis	analysis	NOUN
aiti-14192	334	30	in	in	ADP
aiti-14192	334	31	stock	stock	NOUN
aiti-14192	334	32	market	market	NOUN
aiti-14192	334	33	prediction	prediction	NOUN
aiti-14192	334	34	,	,	PUNCT
aiti-14192	334	35	”	"	PUNCT
aiti-14192	334	36	intelligent	intelligent	ADJ
aiti-14192	334	37	data	datum	NOUN
aiti-14192	334	38	communication	communication	NOUN
aiti-14192	334	39	technologies	technology	NOUN
aiti-14192	334	40	and	and	CCONJ
aiti-14192	334	41	internet	internet	NOUN
aiti-14192	334	42	of	of	ADP
aiti-14192	334	43	things	thing	NOUN
aiti-14192	334	44	:	:	PUNCT
aiti-14192	334	45	proceedings	proceeding	NOUN
aiti-14192	334	46	of	of	ADP
aiti-14192	334	47	icici	icici	PROPN
aiti-14192	334	48	2020	2020	NUM
aiti-14192	334	49	,	,	PUNCT
aiti-14192	334	50	pp	pp	ADV
aiti-14192	334	51	.	.	PUNCT
aiti-14192	335	1	377	377	NUM
aiti-14192	335	2	-	-	SYM
aiti-14192	335	3	394	394	NUM
aiti-14192	335	4	,	,	PUNCT
aiti-14192	335	5	2021	2021	NUM
aiti-14192	335	6	.	.	PUNCT
aiti-14192	336	1	[	[	X
aiti-14192	336	2	12	12	NUM
aiti-14192	336	3	]	]	PUNCT
aiti-14192	336	4	p.	p.	PROPN
aiti-14192	336	5	lv	lv	PROPN
aiti-14192	336	6	,	,	PUNCT
aiti-14192	336	7	q.	q.	PROPN
aiti-14192	336	8	wu	wu	PROPN
aiti-14192	336	9	,	,	PUNCT
aiti-14192	336	10	j.	j.	PROPN
aiti-14192	336	11	xu	xu	PROPN
aiti-14192	336	12	,	,	PUNCT
aiti-14192	336	13	and	and	CCONJ
aiti-14192	336	14	y.	y.	PROPN
aiti-14192	336	15	shu	shu	PROPN
aiti-14192	336	16	,	,	PUNCT
aiti-14192	336	17	“	"	PUNCT
aiti-14192	336	18	stock	stock	NOUN
aiti-14192	336	19	index	index	NOUN
aiti-14192	336	20	prediction	prediction	NOUN
aiti-14192	336	21	based	base	VERB
aiti-14192	336	22	on	on	ADP
aiti-14192	336	23	time	time	NOUN
aiti-14192	336	24	series	series	NOUN
aiti-14192	336	25	decomposition	decomposition	NOUN
aiti-14192	336	26	and	and	CCONJ
aiti-14192	336	27	hybrid	hybrid	NOUN
aiti-14192	336	28	model	model	NOUN
aiti-14192	336	29	,	,	PUNCT
aiti-14192	336	30	”	"	PUNCT
aiti-14192	336	31	entropy	entropy	NOUN
aiti-14192	336	32	,	,	PUNCT
aiti-14192	336	33	vol	vol	NOUN
aiti-14192	336	34	.	.	PROPN
aiti-14192	336	35	24	24	NUM
aiti-14192	336	36	,	,	PUNCT
aiti-14192	336	37	no	no	INTJ
aiti-14192	336	38	.	.	NOUN
aiti-14192	336	39	2	2	NUM
aiti-14192	336	40	,	,	PUNCT
aiti-14192	336	41	article	article	NOUN
aiti-14192	336	42	no	no	NOUN
aiti-14192	336	43	.	.	PROPN
aiti-14192	336	44	146	146	NUM
aiti-14192	336	45	,	,	PUNCT
aiti-14192	336	46	2022	2022	NUM
aiti-14192	336	47	.	.	PUNCT
aiti-14192	337	1	[	[	X
aiti-14192	337	2	13	13	NUM
aiti-14192	337	3	]	]	X
aiti-14192	337	4	e.	e.	PROPN
aiti-14192	337	5	alshawarbeh	alshawarbeh	PROPN
aiti-14192	337	6	,	,	PUNCT
aiti-14192	337	7	a.	a.	NOUN
aiti-14192	337	8	t.	t.	PROPN
aiti-14192	337	9	abdulrahman	abdulrahman	PROPN
aiti-14192	337	10	,	,	PUNCT
aiti-14192	337	11	and	and	CCONJ
aiti-14192	337	12	e.	e.	PROPN
aiti-14192	337	13	hussam	hussam	PROPN
aiti-14192	337	14	,	,	PUNCT
aiti-14192	337	15	“	"	PUNCT
aiti-14192	337	16	statistical	statistical	ADJ
aiti-14192	337	17	modeling	modeling	NOUN
aiti-14192	337	18	of	of	ADP
aiti-14192	337	19	high	high	ADJ
aiti-14192	337	20	frequency	frequency	NOUN
aiti-14192	337	21	datasets	dataset	NOUN
aiti-14192	337	22	using	use	VERB
aiti-14192	337	23	the	the	DET
aiti-14192	337	24	arima	arima	PROPN
aiti-14192	337	25	-	-	PUNCT
aiti-14192	337	26	ann	ann	PROPN
aiti-14192	337	27	hybrid	hybrid	NOUN
aiti-14192	337	28	,	,	PUNCT
aiti-14192	337	29	”	"	PUNCT
aiti-14192	337	30	mathematics	mathematic	NOUN
aiti-14192	337	31	,	,	PUNCT
aiti-14192	337	32	vol	vol	NOUN
aiti-14192	337	33	.	.	PROPN
aiti-14192	337	34	11	11	NUM
aiti-14192	337	35	,	,	PUNCT
aiti-14192	337	36	no	no	INTJ
aiti-14192	337	37	.	.	NOUN
aiti-14192	337	38	22	22	NUM
aiti-14192	337	39	,	,	PUNCT
aiti-14192	337	40	article	article	NOUN
aiti-14192	337	41	no	no	NOUN
aiti-14192	337	42	.	.	PROPN
aiti-14192	337	43	4594	4594	NUM
aiti-14192	337	44	,	,	PUNCT
aiti-14192	337	45	2023	2023	NUM
aiti-14192	337	46	.	.	PUNCT
aiti-14192	338	1	[	[	X
aiti-14192	338	2	14	14	NUM
aiti-14192	338	3	]	]	X
aiti-14192	338	4	b.	b.	PROPN
aiti-14192	338	5	singh	singh	PROPN
aiti-14192	338	6	,	,	PUNCT
aiti-14192	338	7	s.	s.	PROPN
aiti-14192	338	8	k.	k.	PROPN
aiti-14192	338	9	henge	henge	PROPN
aiti-14192	338	10	,	,	PUNCT
aiti-14192	338	11	s.	s.	PROPN
aiti-14192	338	12	k.	k.	PROPN
aiti-14192	338	13	mandal	mandal	PROPN
aiti-14192	338	14	,	,	PUNCT
aiti-14192	338	15	m.	m.	PROPN
aiti-14192	338	16	k.	k.	PROPN
aiti-14192	338	17	yadav	yadav	PROPN
aiti-14192	338	18	,	,	PUNCT
aiti-14192	338	19	p.	p.	NOUN
aiti-14192	338	20	t.	t.	PROPN
aiti-14192	338	21	yadav	yadav	PROPN
aiti-14192	338	22	,	,	PUNCT
aiti-14192	338	23	a.	a.	PROPN
aiti-14192	338	24	upadhyay	upadhyay	PROPN
aiti-14192	338	25	,	,	PUNCT
aiti-14192	338	26	et	et	PROPN
aiti-14192	338	27	al	al	PROPN
aiti-14192	338	28	.	.	PROPN
aiti-14192	338	29	,	,	PUNCT
aiti-14192	338	30	“	"	PUNCT
aiti-14192	338	31	auto	auto	NOUN
aiti-14192	338	32	-	-	PUNCT
aiti-14192	338	33	regressive	regressive	ADJ
aiti-14192	338	34	integrated	integrated	ADJ
aiti-14192	338	35	moving	move	VERB
aiti-14192	338	36	average	average	ADJ
aiti-14192	338	37	threshold	threshold	NOUN
aiti-14192	338	38	influence	influence	NOUN
aiti-14192	338	39	techniques	technique	NOUN
aiti-14192	338	40	for	for	ADP
aiti-14192	338	41	stock	stock	NOUN
aiti-14192	338	42	data	datum	NOUN
aiti-14192	338	43	analysis	analysis	NOUN
aiti-14192	338	44	,	,	PUNCT
aiti-14192	338	45	”	"	PUNCT
aiti-14192	338	46	international	international	ADJ
aiti-14192	338	47	journal	journal	NOUN
aiti-14192	338	48	of	of	ADP
aiti-14192	338	49	advanced	advanced	ADJ
aiti-14192	338	50	computer	computer	NOUN
aiti-14192	338	51	science	science	NOUN
aiti-14192	338	52	and	and	CCONJ
aiti-14192	338	53	applications	application	NOUN
aiti-14192	338	54	,	,	PUNCT
aiti-14192	338	55	vol	vol	NOUN
aiti-14192	338	56	.	.	PROPN
aiti-14192	338	57	14	14	NUM
aiti-14192	338	58	,	,	PUNCT
aiti-14192	338	59	no	no	INTJ
aiti-14192	338	60	.	.	NOUN
aiti-14192	338	61	6	6	NUM
aiti-14192	338	62	,	,	PUNCT
aiti-14192	338	63	pp	pp	ADJ
aiti-14192	338	64	.	.	PUNCT
aiti-14192	339	1	446	446	NUM
aiti-14192	339	2	-	-	SYM
aiti-14192	339	3	455	455	NUM
aiti-14192	339	4	,	,	PUNCT
aiti-14192	339	5	2023	2023	NUM
aiti-14192	339	6	.	.	PUNCT
aiti-14192	340	1	[	[	X
aiti-14192	340	2	15	15	NUM
aiti-14192	340	3	]	]	PUNCT
aiti-14192	340	4	“	"	PUNCT
aiti-14192	340	5	set	set	VERB
aiti-14192	340	6	industry	industry	NOUN
aiti-14192	340	7	group	group	NOUN
aiti-14192	340	8	and	and	CCONJ
aiti-14192	340	9	sector	sector	NOUN
aiti-14192	340	10	classification	classification	NOUN
aiti-14192	340	11	,	,	PUNCT
aiti-14192	340	12	”	"	PUNCT
aiti-14192	340	13	https://www.set.or.th/en/market/index/set/industry-sector-profile	https://www.set.or.th/en/market/index/set/industry-sector-profile	ADV
aiti-14192	340	14	,	,	PUNCT
aiti-14192	340	15	accessed	access	VERB
aiti-14192	340	16	on	on	ADP
aiti-14192	340	17	2021	2021	NUM
aiti-14192	340	18	.	.	PUNCT
aiti-14192	341	1	[	[	X
aiti-14192	341	2	16	16	NUM
aiti-14192	341	3	]	]	X
aiti-14192	341	4	n.	n.	PROPN
aiti-14192	341	5	hongsakulvasu	hongsakulvasu	PROPN
aiti-14192	341	6	,	,	PUNCT
aiti-14192	341	7	c.	c.	PROPN
aiti-14192	341	8	khiewngamdee	khiewngamdee	PROPN
aiti-14192	341	9	,	,	PUNCT
aiti-14192	341	10	and	and	CCONJ
aiti-14192	341	11	a.	a.	NOUN
aiti-14192	341	12	liammukda	liammukda	PROPN
aiti-14192	341	13	,	,	PUNCT
aiti-14192	341	14	“	"	PUNCT
aiti-14192	341	15	does	do	AUX
aiti-14192	341	16	covid-19	covid-19	PROPN
aiti-14192	341	17	crisis	crisis	NOUN
aiti-14192	341	18	affects	affect	VERB
aiti-14192	341	19	the	the	DET
aiti-14192	341	20	spillover	spillover	NOUN
aiti-14192	341	21	of	of	ADP
aiti-14192	341	22	oil	oil	NOUN
aiti-14192	341	23	market	market	NOUN
aiti-14192	341	24	’s	’s	PART
aiti-14192	341	25	return	return	NOUN
aiti-14192	341	26	and	and	CCONJ
aiti-14192	341	27	risk	risk	NOUN
aiti-14192	341	28	on	on	ADP
aiti-14192	341	29	thailand	thailand	PROPN
aiti-14192	341	30	’s	’s	PART
aiti-14192	341	31	sectoral	sectoral	ADJ
aiti-14192	341	32	stock	stock	NOUN
aiti-14192	341	33	return	return	NOUN
aiti-14192	341	34	?	?	PUNCT
aiti-14192	341	35	:	:	PUNCT
aiti-14192	341	36	evidence	evidence	NOUN
aiti-14192	341	37	from	from	ADP
aiti-14192	341	38	bivariate	bivariate	ADJ
aiti-14192	341	39	dcc	dcc	PROPN
aiti-14192	341	40	garch	garch	NOUN
aiti-14192	341	41	-	-	PUNCT
aiti-14192	341	42	in	in	ADP
aiti-14192	341	43	-	-	PUNCT
aiti-14192	341	44	mean	mean	NOUN
aiti-14192	341	45	model	model	NOUN
aiti-14192	341	46	,	,	PUNCT
aiti-14192	341	47	”	"	PUNCT
aiti-14192	341	48	international	international	ADJ
aiti-14192	341	49	energy	energy	NOUN
aiti-14192	341	50	journal	journal	NOUN
aiti-14192	341	51	,	,	PUNCT
aiti-14192	341	52	vol	vol	NOUN
aiti-14192	341	53	.	.	PROPN
aiti-14192	341	54	20	20	NUM
aiti-14192	341	55	,	,	PUNCT
aiti-14192	341	56	no	no	INTJ
aiti-14192	341	57	.	.	NOUN
aiti-14192	341	58	4	4	NUM
aiti-14192	341	59	,	,	PUNCT
aiti-14192	341	60	pp	pp	ADJ
aiti-14192	341	61	.	.	PUNCT
aiti-14192	342	1	647	647	NUM
aiti-14192	342	2	-	-	SYM
aiti-14192	342	3	662	662	NUM
aiti-14192	342	4	,	,	PUNCT
aiti-14192	342	5	2020	2020	NUM
aiti-14192	342	6	.	.	PUNCT
aiti-14192	343	1	[	[	X
aiti-14192	343	2	17	17	NUM
aiti-14192	343	3	]	]	X
aiti-14192	343	4	p.	p.	PROPN
aiti-14192	343	5	c.	c.	PROPN
aiti-14192	343	6	b.	b.	PROPN
aiti-14192	343	7	phillips	phillips	PROPN
aiti-14192	343	8	and	and	CCONJ
aiti-14192	343	9	p.	p.	PROPN
aiti-14192	343	10	perron	perron	PROPN
aiti-14192	343	11	,	,	PUNCT
aiti-14192	343	12	“	"	PUNCT
aiti-14192	343	13	testing	test	VERB
aiti-14192	343	14	for	for	ADP
aiti-14192	343	15	a	a	DET
aiti-14192	343	16	unit	unit	NOUN
aiti-14192	343	17	root	root	NOUN
aiti-14192	343	18	in	in	ADP
aiti-14192	343	19	time	time	NOUN
aiti-14192	343	20	series	series	PROPN
aiti-14192	343	21	regression	regression	PROPN
aiti-14192	343	22	,	,	PUNCT
aiti-14192	343	23	”	"	PUNCT
aiti-14192	343	24	biometrika	biometrika	NOUN
aiti-14192	343	25	,	,	PUNCT
aiti-14192	343	26	vol	vol	NOUN
aiti-14192	343	27	.	.	PROPN
aiti-14192	344	1	75	75	NUM
aiti-14192	344	2	,	,	PUNCT
aiti-14192	344	3	no	no	INTJ
aiti-14192	344	4	.	.	NOUN
aiti-14192	344	5	2	2	NUM
aiti-14192	344	6	,	,	PUNCT
aiti-14192	344	7	pp	pp	ADJ
aiti-14192	344	8	.	.	PUNCT
aiti-14192	345	1	335346	335346	NUM
aiti-14192	345	2	,	,	PUNCT
aiti-14192	345	3	1988	1988	NUM
aiti-14192	345	4	.	.	PUNCT
aiti-14192	346	1	[	[	X
aiti-14192	346	2	18	18	NUM
aiti-14192	346	3	]	]	X
aiti-14192	346	4	d.	d.	PROPN
aiti-14192	346	5	f.	f.	PROPN
aiti-14192	346	6	chang	chang	PROPN
aiti-14192	346	7	,	,	PUNCT
aiti-14192	346	8	c.	c.	PROPN
aiti-14192	346	9	c.	c.	PROPN
aiti-14192	346	10	chen	chen	PROPN
aiti-14192	346	11	,	,	PUNCT
aiti-14192	346	12	and	and	CCONJ
aiti-14192	346	13	a.	a.	PROPN
aiti-14192	346	14	chang	chang	PROPN
aiti-14192	346	15	,	,	PUNCT
aiti-14192	346	16	“	"	PUNCT
aiti-14192	346	17	forecasting	forecast	VERB
aiti-14192	346	18	with	with	ADP
aiti-14192	346	19	arimax	arimax	ADJ
aiti-14192	346	20	models	model	NOUN
aiti-14192	346	21	for	for	ADP
aiti-14192	346	22	participating	participate	VERB
aiti-14192	346	23	stem	stem	NOUN
aiti-14192	346	24	programs	program	NOUN
aiti-14192	346	25	,	,	PUNCT
aiti-14192	346	26	”	"	PUNCT
aiti-14192	346	27	icic	icic	PROPN
aiti-14192	346	28	express	express	ADJ
aiti-14192	346	29	letters	letter	NOUN
aiti-14192	346	30	.	.	PUNCT
aiti-14192	347	1	part	part	NOUN
aiti-14192	347	2	b	b	PROPN
aiti-14192	347	3	,	,	PUNCT
aiti-14192	347	4	applications	application	NOUN
aiti-14192	347	5	,	,	PUNCT
aiti-14192	347	6	vol	vol	NOUN
aiti-14192	347	7	.	.	PROPN
aiti-14192	348	1	11	11	NUM
aiti-14192	348	2	,	,	PUNCT
aiti-14192	348	3	no	no	INTJ
aiti-14192	348	4	.	.	NOUN
aiti-14192	348	5	2	2	NUM
aiti-14192	348	6	,	,	PUNCT
aiti-14192	348	7	pp	pp	ADJ
aiti-14192	348	8	.	.	PUNCT
aiti-14192	349	1	121	121	NUM
aiti-14192	349	2	-	-	SYM
aiti-14192	349	3	128	128	NUM
aiti-14192	349	4	,	,	PUNCT
aiti-14192	349	5	2020	2020	NUM
aiti-14192	349	6	.	.	PUNCT
aiti-14192	350	1	[	[	X
aiti-14192	350	2	19	19	NUM
aiti-14192	350	3	]	]	X
aiti-14192	350	4	c.	c.	PROPN
aiti-14192	350	5	h.	h.	PROPN
aiti-14192	350	6	aladag	aladag	PROPN
aiti-14192	350	7	,	,	PUNCT
aiti-14192	350	8	e.	e.	PROPN
aiti-14192	350	9	egrioglu	egrioglu	PROPN
aiti-14192	350	10	,	,	PUNCT
aiti-14192	350	11	and	and	CCONJ
aiti-14192	350	12	c.	c.	PROPN
aiti-14192	350	13	kadilar	kadilar	NOUN
aiti-14192	350	14	,	,	PUNCT
aiti-14192	350	15	“	"	PUNCT
aiti-14192	350	16	forecasting	forecast	VERB
aiti-14192	350	17	nonlinear	nonlinear	ADJ
aiti-14192	350	18	time	time	NOUN
aiti-14192	350	19	series	series	NOUN
aiti-14192	350	20	with	with	ADP
aiti-14192	350	21	a	a	DET
aiti-14192	350	22	hybrid	hybrid	ADJ
aiti-14192	350	23	methodology	methodology	NOUN
aiti-14192	350	24	,	,	PUNCT
aiti-14192	350	25	”	"	PUNCT
aiti-14192	350	26	applied	apply	VERB
aiti-14192	350	27	mathematics	mathematic	NOUN
aiti-14192	350	28	letters	letter	NOUN
aiti-14192	350	29	,	,	PUNCT
aiti-14192	350	30	vol	vol	NOUN
aiti-14192	350	31	.	.	PROPN
aiti-14192	350	32	22	22	NUM
aiti-14192	350	33	,	,	PUNCT
aiti-14192	350	34	no	no	INTJ
aiti-14192	350	35	.	.	NOUN
aiti-14192	350	36	9	9	NUM
aiti-14192	350	37	,	,	PUNCT
aiti-14192	350	38	pp	pp	ADJ
aiti-14192	350	39	.	.	PUNCT
aiti-14192	350	40	1467	1467	NUM
aiti-14192	350	41	-	-	SYM
aiti-14192	350	42	1470	1470	NUM
aiti-14192	350	43	,	,	PUNCT
aiti-14192	350	44	2009	2009	NUM
aiti-14192	350	45	.	.	PUNCT
aiti-14192	351	1	[	[	X
aiti-14192	351	2	20	20	NUM
aiti-14192	351	3	]	]	PUNCT
aiti-14192	351	4	j.	j.	PROPN
aiti-14192	351	5	d.	d.	PROPN
aiti-14192	351	6	cryer	cryer	PROPN
aiti-14192	351	7	and	and	CCONJ
aiti-14192	351	8	k.	k.	PROPN
aiti-14192	351	9	s.	s.	PROPN
aiti-14192	351	10	chan	chan	PROPN
aiti-14192	351	11	,	,	PUNCT
aiti-14192	351	12	time	time	NOUN
aiti-14192	351	13	series	series	PROPN
aiti-14192	351	14	analysis	analysis	NOUN
aiti-14192	351	15	:	:	PUNCT
aiti-14192	351	16	with	with	ADP
aiti-14192	351	17	applications	application	NOUN
aiti-14192	351	18	in	in	ADP
aiti-14192	351	19	r	r	NOUN
aiti-14192	351	20	,	,	PUNCT
aiti-14192	351	21	2nd	2nd	ADJ
aiti-14192	351	22	ed	ed	NOUN
aiti-14192	351	23	.	.	PROPN
aiti-14192	351	24	,	,	PUNCT
aiti-14192	351	25	new	new	PROPN
aiti-14192	351	26	york	york	PROPN
aiti-14192	351	27	:	:	PUNCT
aiti-14192	351	28	springer	springer	NOUN
aiti-14192	351	29	,	,	PUNCT
aiti-14192	351	30	2008	2008	NUM
aiti-14192	351	31	.	.	PUNCT
aiti-14192	352	1	[	[	X
aiti-14192	352	2	21	21	NUM
aiti-14192	352	3	]	]	X
aiti-14192	352	4	t.	t.	NOUN
aiti-14192	352	5	guillod	guillod	NOUN
aiti-14192	352	6	,	,	PUNCT
aiti-14192	352	7	p.	p.	NOUN
aiti-14192	352	8	papamanolis	papamanolis	PROPN
aiti-14192	352	9	,	,	PUNCT
aiti-14192	352	10	and	and	CCONJ
aiti-14192	352	11	j.	j.	PROPN
aiti-14192	352	12	w.	w.	PROPN
aiti-14192	352	13	kolar	kolar	PROPN
aiti-14192	352	14	,	,	PUNCT
aiti-14192	352	15	“	"	PUNCT
aiti-14192	352	16	artificial	artificial	ADJ
aiti-14192	352	17	neural	neural	ADJ
aiti-14192	352	18	network	network	NOUN
aiti-14192	352	19	(	(	PUNCT
aiti-14192	352	20	ann	ann	PROPN
aiti-14192	352	21	)	)	PUNCT
aiti-14192	352	22	based	base	VERB
aiti-14192	352	23	fast	fast	ADJ
aiti-14192	352	24	and	and	CCONJ
aiti-14192	352	25	accurate	accurate	ADJ
aiti-14192	352	26	inductor	inductor	NOUN
aiti-14192	352	27	modeling	modeling	NOUN
aiti-14192	352	28	and	and	CCONJ
aiti-14192	352	29	design	design	NOUN
aiti-14192	352	30	,	,	PUNCT
aiti-14192	352	31	”	"	PUNCT
aiti-14192	352	32	ieee	ieee	NOUN
aiti-14192	352	33	open	open	PROPN
aiti-14192	352	34	journal	journal	PROPN
aiti-14192	352	35	of	of	ADP
aiti-14192	352	36	power	power	NOUN
aiti-14192	352	37	electronics	electronic	NOUN
aiti-14192	352	38	,	,	PUNCT
aiti-14192	352	39	vol	vol	NOUN
aiti-14192	352	40	.	.	PROPN
aiti-14192	352	41	1	1	NUM
aiti-14192	352	42	,	,	PUNCT
aiti-14192	352	43	pp	pp	ADJ
aiti-14192	352	44	.	.	PUNCT
aiti-14192	352	45	284	284	NUM
aiti-14192	352	46	-	-	SYM
aiti-14192	352	47	299	299	NUM
aiti-14192	352	48	,	,	PUNCT
aiti-14192	352	49	2020	2020	NUM
aiti-14192	352	50	.	.	PUNCT
aiti-14192	353	1	[	[	X
aiti-14192	353	2	22	22	NUM
aiti-14192	353	3	]	]	PUNCT
aiti-14192	353	4	s.	s.	PROPN
aiti-14192	353	5	stephen	stephen	PROPN
aiti-14192	353	6	,	,	PUNCT
aiti-14192	353	7	o.	o.	PROPN
aiti-14192	353	8	argwings	argwing	NOUN
aiti-14192	353	9	,	,	PUNCT
aiti-14192	353	10	and	and	CCONJ
aiti-14192	353	11	k.	k.	PROPN
aiti-14192	353	12	julius	julius	PROPN
aiti-14192	353	13	,	,	PUNCT
aiti-14192	353	14	“	"	PUNCT
aiti-14192	353	15	application	application	NOUN
aiti-14192	353	16	of	of	ADP
aiti-14192	353	17	arima	arima	PROPN
aiti-14192	353	18	,	,	PUNCT
aiti-14192	353	19	hybrid	hybrid	ADJ
aiti-14192	353	20	arima	arima	NOUN
aiti-14192	353	21	and	and	CCONJ
aiti-14192	353	22	artificial	artificial	ADJ
aiti-14192	353	23	neural	neural	ADJ
aiti-14192	353	24	network	network	NOUN
aiti-14192	353	25	models	model	NOUN
aiti-14192	353	26	in	in	ADP
aiti-14192	353	27	predicting	predict	VERB
aiti-14192	353	28	and	and	CCONJ
aiti-14192	353	29	forecasting	forecast	VERB
aiti-14192	353	30	tuberculosis	tuberculosis	NOUN
aiti-14192	353	31	incidences	incidence	NOUN
aiti-14192	353	32	among	among	ADP
aiti-14192	353	33	children	child	NOUN
aiti-14192	353	34	in	in	ADP
aiti-14192	353	35	homa	homa	PROPN
aiti-14192	353	36	bay	bay	PROPN
aiti-14192	353	37	and	and	CCONJ
aiti-14192	353	38	turkana	turkana	PROPN
aiti-14192	353	39	counties	county	NOUN
aiti-14192	353	40	,	,	PUNCT
aiti-14192	353	41	kenya	kenya	PROPN
aiti-14192	353	42	,	,	PUNCT
aiti-14192	353	43	”	"	PUNCT
aiti-14192	353	44	in	in	ADP
aiti-14192	353	45	press	press	NOUN
aiti-14192	353	46	.	.	PUNCT
aiti-14192	354	1	https://doi.org/10.1101/2022.07.07.22277378	https://doi.org/10.1101/2022.07.07.22277378	PROPN
aiti-14192	354	2	[	[	X
aiti-14192	354	3	23	23	NUM
aiti-14192	354	4	]	]	PUNCT
aiti-14192	354	5	j.	j.	PROPN
aiti-14192	354	6	wang	wang	PROPN
aiti-14192	354	7	,	,	PUNCT
aiti-14192	354	8	j.	j.	PROPN
aiti-14192	354	9	wang	wang	PROPN
aiti-14192	354	10	,	,	PUNCT
aiti-14192	354	11	w.	w.	PROPN
aiti-14192	354	12	fang	fang	PROPN
aiti-14192	354	13	,	,	PUNCT
aiti-14192	354	14	and	and	CCONJ
aiti-14192	354	15	h.	h.	PROPN
aiti-14192	354	16	niu	niu	PROPN
aiti-14192	354	17	,	,	PUNCT
aiti-14192	354	18	“	"	PUNCT
aiti-14192	354	19	financial	financial	ADJ
aiti-14192	354	20	time	time	NOUN
aiti-14192	354	21	series	series	NOUN
aiti-14192	354	22	prediction	prediction	NOUN
aiti-14192	354	23	using	use	VERB
aiti-14192	354	24	elman	elman	PROPN
aiti-14192	354	25	recurrent	recurrent	ADJ
aiti-14192	354	26	random	random	ADJ
aiti-14192	354	27	neural	neural	ADJ
aiti-14192	354	28	networks	network	NOUN
aiti-14192	354	29	,	,	PUNCT
aiti-14192	354	30	”	"	PUNCT
aiti-14192	354	31	computational	computational	ADJ
aiti-14192	354	32	intelligence	intelligence	NOUN
aiti-14192	354	33	and	and	CCONJ
aiti-14192	354	34	neuroscience	neuroscience	NOUN
aiti-14192	354	35	,	,	PUNCT
aiti-14192	354	36	vol	vol	NOUN
aiti-14192	354	37	.	.	PROPN
aiti-14192	354	38	2016	2016	NUM
aiti-14192	354	39	,	,	PUNCT
aiti-14192	354	40	no	no	INTJ
aiti-14192	354	41	.	.	NOUN
aiti-14192	354	42	1	1	NUM
aiti-14192	354	43	,	,	PUNCT
aiti-14192	354	44	article	article	NOUN
aiti-14192	354	45	no	no	NOUN
aiti-14192	354	46	.	.	PROPN
aiti-14192	354	47	4742515	4742515	NUM
aiti-14192	354	48	,	,	PUNCT
aiti-14192	354	49	2016	2016	NUM
aiti-14192	354	50	.	.	PUNCT
aiti-14192	355	1	[	[	X
aiti-14192	355	2	24	24	NUM
aiti-14192	355	3	]	]	X
aiti-14192	355	4	d.	d.	PROPN
aiti-14192	355	5	zhang	zhang	PROPN
aiti-14192	355	6	,	,	PUNCT
aiti-14192	355	7	w.	w.	PROPN
aiti-14192	355	8	li	li	PROPN
aiti-14192	355	9	,	,	PUNCT
aiti-14192	355	10	x.	x.	PROPN
aiti-14192	355	11	han	han	PROPN
aiti-14192	355	12	,	,	PUNCT
aiti-14192	355	13	b.	b.	PROPN
aiti-14192	355	14	lu	lu	PROPN
aiti-14192	355	15	,	,	PUNCT
aiti-14192	355	16	q.	q.	PROPN
aiti-14192	355	17	zhang	zhang	PROPN
aiti-14192	355	18	,	,	PUNCT
aiti-14192	355	19	and	and	CCONJ
aiti-14192	355	20	c.	c.	PROPN
aiti-14192	355	21	bo	bo	PROPN
aiti-14192	355	22	,	,	PUNCT
aiti-14192	355	23	“	"	PUNCT
aiti-14192	355	24	evolving	evolve	VERB
aiti-14192	355	25	elman	elman	PROPN
aiti-14192	355	26	neural	neural	ADJ
aiti-14192	355	27	networks	network	NOUN
aiti-14192	355	28	based	base	VERB
aiti-14192	355	29	state	state	NOUN
aiti-14192	355	30	-	-	PUNCT
aiti-14192	355	31	of	of	ADP
aiti-14192	355	32	-	-	PUNCT
aiti-14192	355	33	health	health	NOUN
aiti-14192	355	34	estimation	estimation	NOUN
aiti-14192	355	35	for	for	ADP
aiti-14192	355	36	satellite	satellite	NOUN
aiti-14192	355	37	lithium	lithium	NOUN
aiti-14192	355	38	-	-	PUNCT
aiti-14192	355	39	ion	ion	NOUN
aiti-14192	355	40	batteries	battery	NOUN
aiti-14192	355	41	,	,	PUNCT
aiti-14192	355	42	”	"	PUNCT
aiti-14192	355	43	journal	journal	NOUN
aiti-14192	355	44	of	of	ADP
aiti-14192	355	45	energy	energy	NOUN
aiti-14192	355	46	storage	storage	NOUN
aiti-14192	355	47	,	,	PUNCT
aiti-14192	355	48	vol	vol	NOUN
aiti-14192	355	49	.	.	PROPN
aiti-14192	355	50	59	59	NUM
aiti-14192	355	51	,	,	PUNCT
aiti-14192	355	52	article	article	NOUN
aiti-14192	355	53	no	no	NOUN
aiti-14192	355	54	.	.	PROPN
aiti-14192	355	55	106571	106571	NUM
aiti-14192	355	56	,	,	PUNCT
aiti-14192	355	57	2023	2023	NUM
aiti-14192	355	58	.	.	PUNCT
aiti-14192	356	1	[	[	X
aiti-14192	356	2	25	25	NUM
aiti-14192	356	3	]	]	PUNCT
aiti-14192	356	4	k.	k.	PROPN
aiti-14192	356	5	sako	sako	PROPN
aiti-14192	356	6	,	,	PUNCT
aiti-14192	356	7	b.	b.	PROPN
aiti-14192	356	8	n.	n.	PROPN
aiti-14192	356	9	mpinda	mpinda	PROPN
aiti-14192	356	10	,	,	PUNCT
aiti-14192	356	11	and	and	CCONJ
aiti-14192	356	12	p.	p.	PROPN
aiti-14192	356	13	c.	c.	PROPN
aiti-14192	356	14	rodrigues	rodrigues	PROPN
aiti-14192	356	15	,	,	PUNCT
aiti-14192	356	16	“	"	PUNCT
aiti-14192	356	17	neural	neural	ADJ
aiti-14192	356	18	networks	network	NOUN
aiti-14192	356	19	for	for	ADP
aiti-14192	356	20	financial	financial	ADJ
aiti-14192	356	21	time	time	NOUN
aiti-14192	356	22	series	series	PROPN
aiti-14192	356	23	forecasting	forecasting	PROPN
aiti-14192	356	24	,	,	PUNCT
aiti-14192	356	25	”	"	PUNCT
aiti-14192	356	26	entropy	entropy	NOUN
aiti-14192	356	27	,	,	PUNCT
aiti-14192	356	28	vol	vol	NOUN
aiti-14192	356	29	.	.	PROPN
aiti-14192	356	30	24	24	NUM
aiti-14192	356	31	,	,	PUNCT
aiti-14192	356	32	no	no	INTJ
aiti-14192	356	33	.	.	NOUN
aiti-14192	356	34	5	5	NUM
aiti-14192	356	35	,	,	PUNCT
aiti-14192	356	36	article	article	NOUN
aiti-14192	356	37	no	no	NOUN
aiti-14192	356	38	.	.	PROPN
aiti-14192	356	39	657	657	NUM
aiti-14192	356	40	,	,	PUNCT
aiti-14192	356	41	2022	2022	NUM
aiti-14192	356	42	.	.	PUNCT
aiti-14192	357	1	copyright	copyright	NOUN
aiti-14192	357	2	©	©	PROPN
aiti-14192	357	3	by	by	ADP
aiti-14192	357	4	the	the	DET
aiti-14192	357	5	authors	author	NOUN
aiti-14192	357	6	.	.	PUNCT
aiti-14192	358	1	licensee	licensee	PROPN
aiti-14192	358	2	taeti	taeti	PROPN
aiti-14192	358	3	,	,	PUNCT
aiti-14192	358	4	taiwan	taiwan	PROPN
aiti-14192	358	5	.	.	PUNCT
aiti-14192	359	1	this	this	DET
aiti-14192	359	2	article	article	NOUN
aiti-14192	359	3	is	be	AUX
aiti-14192	359	4	an	an	DET
aiti-14192	359	5	open	open	ADJ
aiti-14192	359	6	-	-	PUNCT
aiti-14192	359	7	access	access	NOUN
aiti-14192	359	8	article	article	NOUN
aiti-14192	359	9	distributed	distribute	VERB
aiti-14192	359	10	under	under	ADP
aiti-14192	359	11	the	the	DET
aiti-14192	359	12	terms	term	NOUN
aiti-14192	359	13	and	and	CCONJ
aiti-14192	359	14	conditions	condition	NOUN
aiti-14192	359	15	of	of	ADP
aiti-14192	359	16	the	the	DET
aiti-14192	359	17	creative	creative	ADJ
aiti-14192	359	18	commons	common	NOUN
aiti-14192	359	19	attribution	attribution	NOUN
aiti-14192	359	20	(	(	PUNCT
aiti-14192	359	21	cc	cc	NOUN
aiti-14192	359	22	by	by	ADP
aiti-14192	359	23	-	-	PUNCT
aiti-14192	359	24	nc	nc	NOUN
aiti-14192	359	25	)	)	PUNCT
aiti-14192	359	26	license	license	NOUN
aiti-14192	359	27	(	(	PUNCT
aiti-14192	359	28	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-14192	359	29	)	)	PUNCT
aiti-14192	359	30	.	.	PUNCT
aiti-14192	360	1	appendix	appendix	VERB
aiti-14192	360	2	abbreviation	abbreviation	NOUN
aiti-14192	360	3	definition	definition	NOUN
aiti-14192	360	4	ann	ann	PROPN
aiti-14192	360	5	artificial	artificial	ADJ
aiti-14192	360	6	neural	neural	ADJ
aiti-14192	360	7	network	network	NOUN
aiti-14192	360	8	arimax	arimax	VERB
aiti-14192	360	9	autoregressive	autoregressive	ADJ
aiti-14192	360	10	integrated	integrated	ADJ
aiti-14192	360	11	moving	move	VERB
aiti-14192	360	12	average	average	NOUN
aiti-14192	360	13	with	with	ADP
aiti-14192	360	14	exogenous	exogenous	ADJ
aiti-14192	360	15	variables	variable	NOUN
aiti-14192	360	16	advances	advance	NOUN
aiti-14192	360	17	in	in	ADP
aiti-14192	360	18	technology	technology	NOUN
aiti-14192	360	19	innovation	innovation	NOUN
aiti-14192	360	20	,	,	PUNCT
aiti-14192	360	21	vol	vol	NOUN
aiti-14192	360	22	.	.	PROPN
aiti-14192	361	1	10	10	NUM
aiti-14192	361	2	,	,	PUNCT
aiti-14192	361	3	no	no	INTJ
aiti-14192	361	4	.	.	NOUN
aiti-14192	361	5	2	2	NUM
aiti-14192	361	6	,	,	PUNCT
aiti-14192	361	7	2025	2025	NUM
aiti-14192	361	8	,	,	PUNCT
aiti-14192	361	9	pp	pp	ADJ
aiti-14192	361	10	.	.	PUNCT
aiti-14192	361	11	85	85	NUM
aiti-14192	361	12	-	-	SYM
aiti-14192	361	13	101	101	NUM
aiti-14192	361	14	101	101	NUM
aiti-14192	361	15	ernn	ernn	NOUN
aiti-14192	361	16	elman	elman	PROPN
aiti-14192	361	17	recurrent	recurrent	PROPN
aiti-14192	361	18	neural	neural	ADJ
aiti-14192	361	19	network	network	NOUN
aiti-14192	361	20	arima	arima	PROPN
aiti-14192	361	21	autoregressive	autoregressive	ADJ
aiti-14192	361	22	integrated	integrated	ADJ
aiti-14192	361	23	moving	move	VERB
aiti-14192	361	24	average	average	ADJ
aiti-14192	361	25	mape	mape	NOUN
aiti-14192	361	26	mean	mean	VERB
aiti-14192	361	27	absolute	absolute	ADJ
aiti-14192	361	28	percentage	percentage	NOUN
aiti-14192	361	29	error	error	NOUN
aiti-14192	361	30	lstm	lstm	NOUN
aiti-14192	361	31	long	long	ADJ
aiti-14192	361	32	short	short	ADJ
aiti-14192	361	33	-	-	PUNCT
aiti-14192	361	34	term	term	NOUN
aiti-14192	361	35	memory	memory	NOUN
aiti-14192	361	36	gru	gru	NOUN
aiti-14192	361	37	gated	gate	VERB
aiti-14192	361	38	recurrent	recurrent	ADJ
aiti-14192	361	39	unit	unit	NOUN
aiti-14192	361	40	rmse	rmse	PROPN
aiti-14192	361	41	root	root	NOUN
aiti-14192	361	42	mean	mean	VERB
aiti-14192	361	43	square	square	ADJ
aiti-14192	361	44	error	error	NOUN
aiti-14192	361	45	sarima	sarima	NOUN
aiti-14192	361	46	seasonal	seasonal	ADJ
aiti-14192	361	47	autoregressive	autoregressive	ADJ
aiti-14192	361	48	integrated	integrated	ADJ
aiti-14192	361	49	moving	move	VERB
aiti-14192	361	50	average	average	ADJ
aiti-14192	361	51	arma	arma	NOUN
aiti-14192	361	52	autoregressive	autoregressive	ADJ
aiti-14192	361	53	moving	move	VERB
aiti-14192	361	54	average	average	ADJ
aiti-14192	361	55	set	set	VERB
aiti-14192	361	56	stock	stock	NOUN
aiti-14192	361	57	exchange	exchange	NOUN
aiti-14192	361	58	of	of	ADP
aiti-14192	361	59	thailand	thailand	PROPN
aiti-14192	361	60	seta	seta	PROPN
aiti-14192	361	61	stock	stock	PROPN
aiti-14192	361	62	exchange	exchange	PROPN
aiti-14192	361	63	of	of	ADP
aiti-14192	361	64	thailand	thailand	PROPN
aiti-14192	361	65	in	in	ADP
aiti-14192	361	66	agro	agro	PROPN
aiti-14192	361	67	and	and	CCONJ
aiti-14192	361	68	food	food	NOUN
aiti-14192	361	69	industry	industry	NOUN
aiti-14192	361	70	sector	sector	NOUN
aiti-14192	361	71	setc	setc	NOUN
aiti-14192	361	72	stock	stock	NOUN
aiti-14192	361	73	exchange	exchange	NOUN
aiti-14192	361	74	of	of	ADP
aiti-14192	361	75	thailand	thailand	PROPN
aiti-14192	361	76	in	in	ADP
aiti-14192	361	77	consumer	consumer	NOUN
aiti-14192	361	78	products	product	NOUN
aiti-14192	361	79	sector	sector	NOUN
aiti-14192	361	80	setf	setf	NOUN
aiti-14192	361	81	stock	stock	NOUN
aiti-14192	361	82	exchange	exchange	PROPN
aiti-14192	361	83	of	of	ADP
aiti-14192	361	84	thailand	thailand	PROPN
aiti-14192	361	85	in	in	ADP
aiti-14192	361	86	financials	financial	NOUN
aiti-14192	361	87	sector	sector	VERB
aiti-14192	361	88	seti	seti	PROPN
aiti-14192	361	89	stock	stock	PROPN
aiti-14192	361	90	exchange	exchange	PROPN
aiti-14192	361	91	of	of	ADP
aiti-14192	361	92	thailand	thailand	PROPN
aiti-14192	361	93	in	in	ADP
aiti-14192	361	94	industrials	industrial	NOUN
aiti-14192	361	95	sector	sector	NOUN
aiti-14192	361	96	setp	setp	PROPN
aiti-14192	361	97	stock	stock	PROPN
aiti-14192	361	98	exchange	exchange	PROPN
aiti-14192	361	99	of	of	ADP
aiti-14192	361	100	thailand	thailand	PROPN
aiti-14192	361	101	in	in	ADP
aiti-14192	361	102	property	property	NOUN
aiti-14192	361	103	and	and	CCONJ
aiti-14192	361	104	construction	construction	NOUN
aiti-14192	361	105	sector	sector	NOUN
aiti-14192	361	106	setr	setr	PROPN
aiti-14192	361	107	stock	stock	PROPN
aiti-14192	361	108	exchange	exchange	PROPN
aiti-14192	361	109	of	of	ADP
aiti-14192	361	110	thailand	thailand	PROPN
aiti-14192	361	111	in	in	ADP
aiti-14192	361	112	resources	resource	NOUN
aiti-14192	361	113	sector	sector	NOUN
aiti-14192	361	114	sets	set	VERB
aiti-14192	361	115	stock	stock	NOUN
aiti-14192	361	116	exchange	exchange	NOUN
aiti-14192	361	117	of	of	ADP
aiti-14192	361	118	thailand	thailand	PROPN
aiti-14192	361	119	in	in	ADP
aiti-14192	361	120	services	service	NOUN
aiti-14192	361	121	sector	sector	NOUN
aiti-14192	361	122	sett	sett	PROPN
aiti-14192	361	123	stock	stock	PROPN
aiti-14192	361	124	exchange	exchange	PROPN
aiti-14192	361	125	of	of	ADP
aiti-14192	361	126	thailand	thailand	PROPN
aiti-14192	361	127	in	in	ADP
aiti-14192	361	128	technology	technology	NOUN
aiti-14192	361	129	sector	sector	NOUN
aiti-14192	361	130	thb	thb	PROPN
aiti-14192	361	131	thai	thai	PROPN
aiti-14192	361	132	baht	baht	PROPN
aiti-14192	361	133	ggt	ggt	PROPN
aiti-14192	361	134	google	google	PROPN
aiti-14192	361	135	trends	trend	NOUN
aiti-14192	361	136	pp	pp	ADP
aiti-14192	361	137	phillips	phillips	PROPN
aiti-14192	361	138	-	-	PUNCT
aiti-14192	361	139	perron	perron	PROPN
aiti-14192	361	140	ccf	ccf	PROPN
aiti-14192	361	141	cross	cross	ADJ
aiti-14192	361	142	-	-	ADJ
aiti-14192	361	143	correlation	correlation	ADJ
aiti-14192	361	144	function	function	NOUN
aiti-14192	361	145	mmse	mmse	ADJ
aiti-14192	361	146	minimum	minimum	ADJ
aiti-14192	361	147	mean	mean	NOUN
aiti-14192	361	148	square	square	ADJ
aiti-14192	361	149	error	error	NOUN
aiti-14192	361	150	aic	aic	PROPN
aiti-14192	361	151	akaike	akaike	ADP
aiti-14192	361	152	information	information	NOUN
aiti-14192	361	153	criterion	criterion	NOUN