id	sid	tid	token	lemma	pos
fbem-25626	1	1	frontiers	frontier	NOUN
fbem-25626	1	2	in	in	ADP
fbem-25626	1	3	business	business	NOUN
fbem-25626	1	4	,	,	PUNCT
fbem-25626	1	5	economics	economic	NOUN
fbem-25626	1	6	and	and	CCONJ
fbem-25626	1	7	management	management	NOUN
fbem-25626	1	8	issn	issn	PROPN
fbem-25626	1	9	:	:	PUNCT
fbem-25626	1	10	2766	2766	NUM
fbem-25626	1	11	-	-	PUNCT
fbem-25626	1	12	824x	824x	NUM
fbem-25626	1	13	|	|	ADJ
fbem-25626	1	14	vol	vol	NOUN
fbem-25626	1	15	.	.	PUNCT
fbem-25626	2	1	16	16	NUM
fbem-25626	2	2	,	,	PUNCT
fbem-25626	2	3	no	no	INTJ
fbem-25626	2	4	.	.	NOUN
fbem-25626	2	5	2	2	NUM
fbem-25626	2	6	,	,	PUNCT
fbem-25626	2	7	2024	2024	NUM
fbem-25626	2	8	264	264	NUM
fbem-25626	2	9	forecasting	forecasting	NOUN
fbem-25626	2	10	china	china	PROPN
fbem-25626	2	11	's	's	PART
fbem-25626	2	12	consumer	consumer	NOUN
fbem-25626	2	13	price	price	NOUN
fbem-25626	2	14	index	index	NOUN
fbem-25626	2	15	(	(	PUNCT
fbem-25626	2	16	cpi	cpi	PROPN
fbem-25626	2	17	)	)	PUNCT
fbem-25626	2	18	based	base	VERB
fbem-25626	2	19	on	on	ADP
fbem-25626	2	20	combined	combine	VERB
fbem-25626	2	21	arima	arima	NOUN
fbem-25626	2	22	-	-	PUNCT
fbem-25626	2	23	lstm	lstm	PROPN
fbem-25626	2	24	models	model	NOUN
fbem-25626	2	25	yu	yu	PROPN
fbem-25626	2	26	liu	liu	PROPN
fbem-25626	2	27	school	school	PROPN
fbem-25626	2	28	of	of	ADP
fbem-25626	2	29	statistics	statistic	NOUN
fbem-25626	2	30	and	and	CCONJ
fbem-25626	2	31	applied	applied	ADJ
fbem-25626	2	32	mathematics	mathematic	NOUN
fbem-25626	2	33	,	,	PUNCT
fbem-25626	2	34	anhui	anhui	PROPN
fbem-25626	2	35	university	university	PROPN
fbem-25626	2	36	of	of	ADP
fbem-25626	2	37	finance	finance	NOUN
fbem-25626	2	38	and	and	CCONJ
fbem-25626	2	39	economics	economic	NOUN
fbem-25626	2	40	,	,	PUNCT
fbem-25626	2	41	bengbu	bengbu	NOUN
fbem-25626	2	42	,	,	PUNCT
fbem-25626	2	43	china	china	PROPN
fbem-25626	2	44	abstract	abstract	NOUN
fbem-25626	2	45	:	:	PUNCT
fbem-25626	2	46	this	this	DET
fbem-25626	2	47	study	study	NOUN
fbem-25626	2	48	aims	aim	VERB
fbem-25626	2	49	to	to	PART
fbem-25626	2	50	construct	construct	VERB
fbem-25626	2	51	an	an	DET
fbem-25626	2	52	efficient	efficient	ADJ
fbem-25626	2	53	consumer	consumer	NOUN
fbem-25626	2	54	price	price	NOUN
fbem-25626	2	55	index	index	NOUN
fbem-25626	2	56	(	(	PUNCT
fbem-25626	2	57	cpi	cpi	NOUN
fbem-25626	2	58	)	)	PUNCT
fbem-25626	2	59	forecasting	forecasting	NOUN
fbem-25626	2	60	model	model	NOUN
fbem-25626	2	61	to	to	PART
fbem-25626	2	62	provide	provide	VERB
fbem-25626	2	63	policymakers	policymaker	NOUN
fbem-25626	2	64	,	,	PUNCT
fbem-25626	2	65	investors	investor	NOUN
fbem-25626	2	66	,	,	PUNCT
fbem-25626	2	67	and	and	CCONJ
fbem-25626	2	68	businesses	business	NOUN
fbem-25626	2	69	with	with	ADP
fbem-25626	2	70	more	more	ADV
fbem-25626	2	71	accurate	accurate	ADJ
fbem-25626	2	72	forecasts	forecast	NOUN
fbem-25626	2	73	of	of	ADP
fbem-25626	2	74	future	future	ADJ
fbem-25626	2	75	price	price	NOUN
fbem-25626	2	76	levels	level	NOUN
fbem-25626	2	77	and	and	CCONJ
fbem-25626	2	78	inflation	inflation	NOUN
fbem-25626	2	79	trends	trend	NOUN
fbem-25626	2	80	.	.	PUNCT
fbem-25626	3	1	in	in	ADP
fbem-25626	3	2	this	this	DET
fbem-25626	3	3	study	study	NOUN
fbem-25626	3	4	,	,	PUNCT
fbem-25626	3	5	a	a	DET
fbem-25626	3	6	combined	combined	ADJ
fbem-25626	3	7	model	model	NOUN
fbem-25626	3	8	that	that	PRON
fbem-25626	3	9	integrates	integrate	NOUN
fbem-25626	3	10	autoregressive	autoregressive	ADJ
fbem-25626	3	11	integrated	integrated	ADJ
fbem-25626	3	12	moving	move	VERB
fbem-25626	3	13	average	average	ADJ
fbem-25626	3	14	(	(	PUNCT
fbem-25626	3	15	arima	arima	PROPN
fbem-25626	3	16	)	)	PUNCT
fbem-25626	3	17	with	with	ADP
fbem-25626	3	18	long	long	ADJ
fbem-25626	3	19	short	short	ADJ
fbem-25626	3	20	-	-	PUNCT
fbem-25626	3	21	term	term	NOUN
fbem-25626	3	22	memory	memory	NOUN
fbem-25626	3	23	(	(	PUNCT
fbem-25626	3	24	lstm	lstm	NOUN
fbem-25626	3	25	)	)	PUNCT
fbem-25626	3	26	networks	network	NOUN
fbem-25626	3	27	is	be	AUX
fbem-25626	3	28	introduced	introduce	VERB
fbem-25626	3	29	.	.	PUNCT
fbem-25626	4	1	the	the	DET
fbem-25626	4	2	model	model	NOUN
fbem-25626	4	3	first	first	ADV
fbem-25626	4	4	captures	capture	VERB
fbem-25626	4	5	the	the	DET
fbem-25626	4	6	linear	linear	ADJ
fbem-25626	4	7	trend	trend	NOUN
fbem-25626	4	8	of	of	ADP
fbem-25626	4	9	cpi	cpi	PROPN
fbem-25626	4	10	data	datum	NOUN
fbem-25626	4	11	using	use	VERB
fbem-25626	4	12	the	the	DET
fbem-25626	4	13	arima	arima	PROPN
fbem-25626	4	14	model	model	NOUN
fbem-25626	4	15	,	,	PUNCT
fbem-25626	4	16	and	and	CCONJ
fbem-25626	4	17	then	then	ADV
fbem-25626	4	18	inputs	input	VERB
fbem-25626	4	19	the	the	DET
fbem-25626	4	20	residuals	residual	NOUN
fbem-25626	4	21	into	into	ADP
fbem-25626	4	22	the	the	DET
fbem-25626	4	23	lstm	lstm	PROPN
fbem-25626	4	24	network	network	NOUN
fbem-25626	4	25	to	to	PART
fbem-25626	4	26	predict	predict	VERB
fbem-25626	4	27	the	the	DET
fbem-25626	4	28	nonlinear	nonlinear	ADJ
fbem-25626	4	29	part	part	NOUN
fbem-25626	4	30	.	.	PUNCT
fbem-25626	5	1	the	the	DET
fbem-25626	5	2	model	model	NOUN
fbem-25626	5	3	is	be	AUX
fbem-25626	5	4	trained	train	VERB
fbem-25626	5	5	and	and	CCONJ
fbem-25626	5	6	tested	test	VERB
fbem-25626	5	7	using	use	VERB
fbem-25626	5	8	monthly	monthly	ADJ
fbem-25626	5	9	chinese	chinese	PROPN
fbem-25626	5	10	cpi	cpi	PROPN
fbem-25626	5	11	data	data	PROPN
fbem-25626	5	12	.	.	PUNCT
fbem-25626	6	1	the	the	DET
fbem-25626	6	2	findings	finding	NOUN
fbem-25626	6	3	indicate	indicate	VERB
fbem-25626	6	4	that	that	SCONJ
fbem-25626	6	5	the	the	DET
fbem-25626	6	6	arima	arima	NOUN
fbem-25626	6	7	-	-	PUNCT
fbem-25626	6	8	lstm	lstm	NOUN
fbem-25626	6	9	hybrid	hybrid	NOUN
fbem-25626	6	10	model	model	NOUN
fbem-25626	6	11	outshines	outshine	VERB
fbem-25626	6	12	the	the	DET
fbem-25626	6	13	single	single	ADJ
fbem-25626	6	14	arima	arima	NOUN
fbem-25626	6	15	model	model	NOUN
fbem-25626	6	16	regarding	regard	VERB
fbem-25626	6	17	prediction	prediction	NOUN
fbem-25626	6	18	accuracy	accuracy	NOUN
fbem-25626	6	19	,	,	PUNCT
fbem-25626	6	20	its	its	PRON
fbem-25626	6	21	predicted	predict	VERB
fbem-25626	6	22	values	value	NOUN
fbem-25626	6	23	are	be	AUX
fbem-25626	6	24	closely	closely	ADV
fbem-25626	6	25	aligned	align	VERB
fbem-25626	6	26	with	with	ADP
fbem-25626	6	27	the	the	DET
fbem-25626	6	28	actual	actual	ADJ
fbem-25626	6	29	values	value	NOUN
fbem-25626	6	30	,	,	PUNCT
fbem-25626	6	31	and	and	CCONJ
fbem-25626	6	32	the	the	DET
fbem-25626	6	33	model	model	NOUN
fbem-25626	6	34	residual	residual	ADJ
fbem-25626	6	35	series	series	NOUN
fbem-25626	6	36	passes	pass	VERB
fbem-25626	6	37	the	the	DET
fbem-25626	6	38	q	q	NOUN
fbem-25626	6	39	-	-	NOUN
fbem-25626	6	40	test	test	NOUN
fbem-25626	6	41	,	,	PUNCT
fbem-25626	6	42	which	which	PRON
fbem-25626	6	43	suggests	suggest	VERB
fbem-25626	6	44	that	that	SCONJ
fbem-25626	6	45	the	the	DET
fbem-25626	6	46	model	model	NOUN
fbem-25626	6	47	exhibits	exhibit	VERB
fbem-25626	6	48	a	a	DET
fbem-25626	6	49	strong	strong	ADJ
fbem-25626	6	50	fitting	fitting	ADJ
fbem-25626	6	51	capability	capability	NOUN
fbem-25626	6	52	.	.	PUNCT
fbem-25626	7	1	the	the	DET
fbem-25626	7	2	article	article	NOUN
fbem-25626	7	3	also	also	ADV
fbem-25626	7	4	introduces	introduce	VERB
fbem-25626	7	5	the	the	DET
fbem-25626	7	6	evaluation	evaluation	NOUN
fbem-25626	7	7	indexes	index	NOUN
fbem-25626	7	8	of	of	ADP
fbem-25626	7	9	the	the	DET
fbem-25626	7	10	model	model	NOUN
fbem-25626	7	11	and	and	CCONJ
fbem-25626	7	12	compares	compare	VERB
fbem-25626	7	13	the	the	DET
fbem-25626	7	14	prediction	prediction	NOUN
fbem-25626	7	15	performance	performance	NOUN
fbem-25626	7	16	of	of	ADP
fbem-25626	7	17	the	the	DET
fbem-25626	7	18	single	single	ADJ
fbem-25626	7	19	arima	arima	NOUN
fbem-25626	7	20	model	model	NOUN
fbem-25626	7	21	and	and	CCONJ
fbem-25626	7	22	the	the	DET
fbem-25626	7	23	arima	arima	NOUN
fbem-25626	7	24	-	-	PUNCT
fbem-25626	7	25	lstm	lstm	NOUN
fbem-25626	7	26	hybrid	hybrid	NOUN
fbem-25626	7	27	model	model	NOUN
fbem-25626	7	28	.	.	PUNCT
fbem-25626	8	1	finally	finally	ADV
fbem-25626	8	2	,	,	PUNCT
fbem-25626	8	3	the	the	DET
fbem-25626	8	4	article	article	NOUN
fbem-25626	8	5	concludes	conclude	VERB
fbem-25626	8	6	that	that	SCONJ
fbem-25626	8	7	the	the	DET
fbem-25626	8	8	arima	arima	NOUN
fbem-25626	8	9	-	-	PUNCT
fbem-25626	8	10	lstm	lstm	NOUN
fbem-25626	8	11	hybrid	hybrid	NOUN
fbem-25626	8	12	model	model	NOUN
fbem-25626	8	13	has	have	VERB
fbem-25626	8	14	high	high	ADJ
fbem-25626	8	15	accuracy	accuracy	NOUN
fbem-25626	8	16	and	and	CCONJ
fbem-25626	8	17	reliability	reliability	NOUN
fbem-25626	8	18	in	in	ADP
fbem-25626	8	19	cpi	cpi	PROPN
fbem-25626	8	20	forecasting	forecasting	NOUN
fbem-25626	8	21	,	,	PUNCT
fbem-25626	8	22	which	which	PRON
fbem-25626	8	23	provides	provide	VERB
fbem-25626	8	24	a	a	DET
fbem-25626	8	25	powerful	powerful	ADJ
fbem-25626	8	26	tool	tool	NOUN
fbem-25626	8	27	for	for	ADP
fbem-25626	8	28	forecasting	forecast	VERB
fbem-25626	8	29	future	future	ADJ
fbem-25626	8	30	price	price	NOUN
fbem-25626	8	31	trends	trend	NOUN
fbem-25626	8	32	.	.	PUNCT
fbem-25626	9	1	keywords	keyword	NOUN
fbem-25626	9	2	:	:	PUNCT
fbem-25626	9	3	time	time	NOUN
fbem-25626	9	4	series	series	PROPN
fbem-25626	9	5	forecasting	forecasting	PROPN
fbem-25626	9	6	,	,	PUNCT
fbem-25626	9	7	cpi	cpi	PROPN
fbem-25626	9	8	,	,	PUNCT
fbem-25626	9	9	deep	deep	ADJ
fbem-25626	9	10	learning	learning	NOUN
fbem-25626	9	11	,	,	PUNCT
fbem-25626	9	12	arima	arima	NOUN
fbem-25626	9	13	-	-	PUNCT
fbem-25626	9	14	lstm	lstm	NOUN
fbem-25626	9	15	.	.	PUNCT
fbem-25626	10	1	1	1	X
fbem-25626	10	2	.	.	X
fbem-25626	10	3	introduction	introduction	NOUN
fbem-25626	10	4	the	the	DET
fbem-25626	10	5	consumer	consumer	NOUN
fbem-25626	10	6	price	price	NOUN
fbem-25626	10	7	index	index	NOUN
fbem-25626	10	8	(	(	PUNCT
fbem-25626	10	9	cpi	cpi	PROPN
fbem-25626	10	10	)	)	PUNCT
fbem-25626	10	11	is	be	AUX
fbem-25626	10	12	among	among	ADP
fbem-25626	10	13	the	the	DET
fbem-25626	10	14	key	key	ADJ
fbem-25626	10	15	performance	performance	NOUN
fbem-25626	10	16	metrics	metric	NOUN
fbem-25626	10	17	of	of	ADP
fbem-25626	10	18	changes	change	NOUN
fbem-25626	10	19	in	in	ADP
fbem-25626	10	20	consumer	consumer	NOUN
fbem-25626	10	21	price	price	NOUN
fbem-25626	10	22	levels	level	NOUN
fbem-25626	10	23	.	.	PUNCT
fbem-25626	11	1	by	by	ADP
fbem-25626	11	2	forecasting	forecast	VERB
fbem-25626	11	3	the	the	DET
fbem-25626	11	4	cpi	cpi	NOUN
fbem-25626	11	5	,	,	PUNCT
fbem-25626	11	6	it	it	PRON
fbem-25626	11	7	can	can	AUX
fbem-25626	11	8	help	help	VERB
fbem-25626	11	9	organizations	organization	NOUN
fbem-25626	11	10	,	,	PUNCT
fbem-25626	11	11	such	such	ADJ
fbem-25626	11	12	as	as	ADP
fbem-25626	11	13	,	,	PUNCT
fbem-25626	11	14	central	central	ADJ
fbem-25626	11	15	banks	bank	NOUN
fbem-25626	11	16	and	and	CCONJ
fbem-25626	11	17	businesses	business	NOUN
fbem-25626	11	18	to	to	PART
fbem-25626	11	19	anticipate	anticipate	VERB
fbem-25626	11	20	future	future	ADJ
fbem-25626	11	21	price	price	NOUN
fbem-25626	11	22	levels	level	NOUN
fbem-25626	11	23	and	and	CCONJ
fbem-25626	11	24	inflation	inflation	NOUN
fbem-25626	11	25	trends	trend	NOUN
fbem-25626	11	26	.	.	PUNCT
fbem-25626	12	1	this	this	PRON
fbem-25626	12	2	is	be	AUX
fbem-25626	12	3	important	important	ADJ
fbem-25626	12	4	for	for	ADP
fbem-25626	12	5	adjusting	adjust	VERB
fbem-25626	12	6	the	the	DET
fbem-25626	12	7	economy	economy	NOUN
fbem-25626	12	8	,	,	PUNCT
fbem-25626	12	9	setting	set	VERB
fbem-25626	12	10	money	money	NOUN
fbem-25626	12	11	,	,	PUNCT
fbem-25626	12	12	and	and	CCONJ
fbem-25626	12	13	business	business	NOUN
fbem-25626	12	14	decision	decision	NOUN
fbem-25626	12	15	-	-	PUNCT
fbem-25626	12	16	making	making	NOUN
fbem-25626	12	17	and	and	CCONJ
fbem-25626	12	18	planning	planning	NOUN
fbem-25626	12	19	.	.	PUNCT
fbem-25626	13	1	traditional	traditional	ADJ
fbem-25626	13	2	cpi	cpi	PROPN
fbem-25626	13	3	forecasting	forecasting	NOUN
fbem-25626	13	4	methods	method	NOUN
fbem-25626	13	5	usually	usually	ADV
fbem-25626	13	6	rely	rely	VERB
fbem-25626	13	7	on	on	ADP
fbem-25626	13	8	statistical	statistical	ADJ
fbem-25626	13	9	and	and	CCONJ
fbem-25626	13	10	econometric	econometric	ADJ
fbem-25626	13	11	techniques	technique	NOUN
fbem-25626	13	12	,	,	PUNCT
fbem-25626	13	13	which	which	PRON
fbem-25626	13	14	include	include	VERB
fbem-25626	13	15	time	time	NOUN
fbem-25626	13	16	series	series	PROPN
fbem-25626	13	17	analysis	analysis	NOUN
fbem-25626	13	18	,	,	PUNCT
fbem-25626	13	19	regression	regression	NOUN
fbem-25626	13	20	modeling	modeling	NOUN
fbem-25626	13	21	,	,	PUNCT
fbem-25626	13	22	seasonal	seasonal	ADJ
fbem-25626	13	23	adjustment	adjustment	NOUN
fbem-25626	13	24	,	,	PUNCT
fbem-25626	13	25	etc	etc	X
fbem-25626	13	26	(	(	PUNCT
fbem-25626	13	27	gautam	gautam	PROPN
fbem-25626	13	28	&	&	CCONJ
fbem-25626	13	29	kanoujiya	kanoujiya	PROPN
fbem-25626	13	30	,	,	PUNCT
fbem-25626	13	31	2022	2022	NUM
fbem-25626	13	32	)	)	PUNCT
fbem-25626	13	33	.	.	PUNCT
fbem-25626	14	1	these	these	DET
fbem-25626	14	2	methods	method	NOUN
fbem-25626	14	3	are	be	AUX
fbem-25626	14	4	often	often	ADV
fbem-25626	14	5	based	base	VERB
fbem-25626	14	6	on	on	ADP
fbem-25626	14	7	historical	historical	ADJ
fbem-25626	14	8	data	datum	NOUN
fbem-25626	14	9	and	and	CCONJ
fbem-25626	14	10	predict	predict	VERB
fbem-25626	14	11	future	future	ADJ
fbem-25626	14	12	cpi	cpi	PROPN
fbem-25626	14	13	changes	change	NOUN
fbem-25626	14	14	by	by	ADP
fbem-25626	14	15	identifying	identify	VERB
fbem-25626	14	16	patterns	pattern	NOUN
fbem-25626	14	17	and	and	CCONJ
fbem-25626	14	18	trends	trend	NOUN
fbem-25626	14	19	in	in	ADP
fbem-25626	14	20	price	price	NOUN
fbem-25626	14	21	movements	movement	NOUN
fbem-25626	14	22	.	.	PUNCT
fbem-25626	15	1	for	for	ADP
fbem-25626	15	2	example	example	NOUN
fbem-25626	15	3	,	,	PUNCT
fbem-25626	15	4	di	di	X
fbem-25626	15	5	filippo	filippo	X
fbem-25626	15	6	(	(	PUNCT
fbem-25626	15	7	2015	2015	NUM
fbem-25626	15	8	)	)	PUNCT
fbem-25626	15	9	used	use	VERB
fbem-25626	15	10	dynamic	dynamic	ADJ
fbem-25626	15	11	model	model	NOUN
fbem-25626	15	12	averaging	averaging	NOUN
fbem-25626	15	13	(	(	PUNCT
fbem-25626	15	14	dma	dma	PROPN
fbem-25626	15	15	)	)	PUNCT
fbem-25626	15	16	and	and	CCONJ
fbem-25626	15	17	dynamic	dynamic	ADJ
fbem-25626	15	18	model	model	NOUN
fbem-25626	15	19	selection	selection	NOUN
fbem-25626	15	20	(	(	PUNCT
fbem-25626	15	21	dms	dms	NOUN
fbem-25626	15	22	)	)	PUNCT
fbem-25626	15	23	methods	method	NOUN
fbem-25626	15	24	to	to	PART
fbem-25626	15	25	forecast	forecast	VERB
fbem-25626	15	26	the	the	DET
fbem-25626	15	27	cpi	cpi	PROPN
fbem-25626	15	28	in	in	ADP
fbem-25626	15	29	the	the	DET
fbem-25626	15	30	eurozone	eurozone	NOUN
fbem-25626	15	31	and	and	CCONJ
fbem-25626	15	32	the	the	DET
fbem-25626	15	33	u.s	u.s	PROPN
fbem-25626	15	34	.	.	PROPN
fbem-25626	15	35	shapovalenko	shapovalenko	PROPN
fbem-25626	15	36	(	(	PUNCT
fbem-25626	15	37	2021	2021	NUM
fbem-25626	15	38	)	)	PUNCT
fbem-25626	15	39	reviewed	review	VERB
fbem-25626	15	40	the	the	DET
fbem-25626	15	41	models	model	NOUN
fbem-25626	15	42	used	use	VERB
fbem-25626	15	43	by	by	ADP
fbem-25626	15	44	the	the	DET
fbem-25626	15	45	national	national	PROPN
fbem-25626	15	46	bank	bank	PROPN
fbem-25626	15	47	of	of	ADP
fbem-25626	15	48	ukraine	ukraine	PROPN
fbem-25626	15	49	(	(	PUNCT
fbem-25626	15	50	nbu	nbu	PROPN
fbem-25626	15	51	)	)	PUNCT
fbem-25626	15	52	for	for	ADP
fbem-25626	15	53	predicting	predict	VERB
fbem-25626	15	54	short	short	ADJ
fbem-25626	15	55	-	-	PUNCT
fbem-25626	15	56	term	term	NOUN
fbem-25626	15	57	cpi	cpi	NOUN
fbem-25626	15	58	trends	trend	NOUN
fbem-25626	15	59	,	,	PUNCT
fbem-25626	15	60	researchers	researcher	NOUN
fbem-25626	15	61	assessed	assess	VERB
fbem-25626	15	62	the	the	DET
fbem-25626	15	63	predictive	predictive	ADJ
fbem-25626	15	64	precision	precision	NOUN
fbem-25626	15	65	of	of	ADP
fbem-25626	15	66	these	these	DET
fbem-25626	15	67	models	model	NOUN
fbem-25626	15	68	and	and	CCONJ
fbem-25626	15	69	provided	provide	VERB
fbem-25626	15	70	suggestions	suggestion	NOUN
fbem-25626	15	71	for	for	ADP
fbem-25626	15	72	improving	improve	VERB
fbem-25626	15	73	current	current	ADJ
fbem-25626	15	74	models	model	NOUN
fbem-25626	15	75	,	,	PUNCT
fbem-25626	15	76	especially	especially	ADV
fbem-25626	15	77	in	in	ADP
fbem-25626	15	78	the	the	DET
fbem-25626	15	79	context	context	NOUN
fbem-25626	15	80	of	of	ADP
fbem-25626	15	81	data	datum	NOUN
fbem-25626	15	82	scarcity	scarcity	NOUN
fbem-25626	15	83	and	and	CCONJ
fbem-25626	15	84	the	the	DET
fbem-25626	15	85	challenges	challenge	NOUN
fbem-25626	15	86	of	of	ADP
fbem-25626	15	87	prediction	prediction	NOUN
fbem-25626	15	88	in	in	ADP
fbem-25626	15	89	war	war	NOUN
fbem-25626	15	90	situations	situation	NOUN
fbem-25626	15	91	.	.	PUNCT
fbem-25626	16	1	cpi	cpi	PROPN
fbem-25626	16	2	price	price	NOUN
fbem-25626	16	3	indices	index	NOUN
fbem-25626	16	4	tend	tend	VERB
fbem-25626	16	5	to	to	PART
fbem-25626	16	6	have	have	VERB
fbem-25626	16	7	certain	certain	ADJ
fbem-25626	16	8	seasonality	seasonality	NOUN
fbem-25626	16	9	and	and	CCONJ
fbem-25626	16	10	trends	trend	NOUN
fbem-25626	16	11	,	,	PUNCT
fbem-25626	16	12	and	and	CCONJ
fbem-25626	16	13	arima	arima	NOUN
fbem-25626	16	14	models	model	NOUN
fbem-25626	16	15	can	can	AUX
fbem-25626	16	16	capture	capture	VERB
fbem-25626	16	17	these	these	DET
fbem-25626	16	18	linear	linear	ADJ
fbem-25626	16	19	relationships	relationship	NOUN
fbem-25626	16	20	,	,	PUNCT
fbem-25626	16	21	providing	provide	VERB
fbem-25626	16	22	forecasting	forecasting	NOUN
fbem-25626	16	23	power	power	NOUN
fbem-25626	16	24	for	for	ADP
fbem-25626	16	25	long	long	ADJ
fbem-25626	16	26	-	-	PUNCT
fbem-25626	16	27	term	term	NOUN
fbem-25626	16	28	trends	trend	NOUN
fbem-25626	16	29	(	(	PUNCT
fbem-25626	16	30	riofrio	riofrio	NOUN
fbem-25626	16	31	et	et	PROPN
fbem-25626	16	32	al	al	PROPN
fbem-25626	16	33	.	.	PROPN
fbem-25626	16	34	,	,	PUNCT
fbem-25626	16	35	2023	2023	NUM
fbem-25626	16	36	;	;	PUNCT
fbem-25626	16	37	álvarez	álvarez	NOUN
fbem-25626	16	38	-	-	PUNCT
fbem-25626	16	39	díaz	díaz	NOUN
fbem-25626	16	40	&	&	CCONJ
fbem-25626	16	41	gupta	gupta	PROPN
fbem-25626	16	42	,	,	PUNCT
fbem-25626	16	43	2016	2016	NUM
fbem-25626	16	44	)	)	PUNCT
fbem-25626	16	45	.	.	PUNCT
fbem-25626	17	1	ahmar	ahmar	PROPN
fbem-25626	17	2	et	et	PROPN
fbem-25626	17	3	al	al	PROPN
fbem-25626	17	4	.	.	PROPN
fbem-25626	18	1	(	(	PUNCT
fbem-25626	18	2	2018	2018	NUM
fbem-25626	18	3	)	)	PUNCT
fbem-25626	18	4	used	use	VERB
fbem-25626	18	5	the	the	DET
fbem-25626	18	6	predictive	predictive	ADJ
fbem-25626	18	7	modeling	modeling	NOUN
fbem-25626	18	8	tools	tool	NOUN
fbem-25626	18	9	in	in	ADP
fbem-25626	18	10	r	r	NOUN
fbem-25626	18	11	programming	programming	NOUN
fbem-25626	18	12	language	language	NOUN
fbem-25626	18	13	to	to	PART
fbem-25626	18	14	implement	implement	VERB
fbem-25626	18	15	the	the	DET
fbem-25626	18	16	arima	arima	NOUN
fbem-25626	18	17	method	method	NOUN
fbem-25626	18	18	to	to	PART
fbem-25626	18	19	forecast	forecast	VERB
fbem-25626	18	20	cpi	cpi	PROPN
fbem-25626	18	21	data	datum	NOUN
fbem-25626	18	22	in	in	ADP
fbem-25626	18	23	indonesia	indonesia	PROPN
fbem-25626	18	24	,	,	PUNCT
fbem-25626	18	25	both	both	PRON
fbem-25626	18	26	of	of	ADP
fbem-25626	18	27	which	which	PRON
fbem-25626	18	28	achieved	achieve	VERB
fbem-25626	18	29	good	good	ADJ
fbem-25626	18	30	forecasting	forecasting	NOUN
fbem-25626	18	31	results	result	NOUN
fbem-25626	18	32	.	.	PUNCT
fbem-25626	19	1	shinkarenko	shinkarenko	VERB
fbem-25626	19	2	et	et	PROPN
fbem-25626	19	3	al	al	PROPN
fbem-25626	19	4	.	.	PROPN
fbem-25626	20	1	(	(	PUNCT
fbem-25626	20	2	2021	2021	NUM
fbem-25626	20	3	)	)	PUNCT
fbem-25626	20	4	analyzed	analyze	VERB
fbem-25626	20	5	the	the	DET
fbem-25626	20	6	time	time	NOUN
fbem-25626	20	7	series	series	PROPN
fbem-25626	20	8	data	datum	NOUN
fbem-25626	20	9	of	of	ADP
fbem-25626	20	10	cpi	cpi	PROPN
fbem-25626	20	11	for	for	ADP
fbem-25626	20	12	ukraine	ukraine	NOUN
fbem-25626	20	13	and	and	CCONJ
fbem-25626	20	14	constructed	construct	VERB
fbem-25626	20	15	the	the	DET
fbem-25626	20	16	arima*arimas	arima*arimas	PROPN
fbem-25626	20	17	model	model	NOUN
fbem-25626	20	18	.	.	PUNCT
fbem-25626	21	1	mohamed	mohamed	PROPN
fbem-25626	21	2	(	(	PUNCT
fbem-25626	21	3	2020	2020	NUM
fbem-25626	21	4	)	)	PUNCT
fbem-25626	21	5	compared	compare	VERB
fbem-25626	21	6	the	the	DET
fbem-25626	21	7	performance	performance	NOUN
fbem-25626	21	8	of	of	ADP
fbem-25626	21	9	the	the	DET
fbem-25626	21	10	arima	arima	PROPN
fbem-25626	21	11	model	model	NOUN
fbem-25626	21	12	and	and	CCONJ
fbem-25626	21	13	predictive	predictive	ADJ
fbem-25626	21	14	analytical	analytical	ADJ
fbem-25626	21	15	model	model	NOUN
fbem-25626	21	16	with	with	ADP
fbem-25626	21	17	arima	arima	PROPN
fbem-25626	21	18	errors	error	NOUN
fbem-25626	21	19	in	in	ADP
fbem-25626	21	20	forecasting	forecast	VERB
fbem-25626	21	21	cpi	cpi	PROPN
fbem-25626	21	22	in	in	ADP
fbem-25626	21	23	somaliland	somaliland	PROPN
fbem-25626	21	24	.	.	PUNCT
fbem-25626	22	1	machine	machine	NOUN
fbem-25626	22	2	learning	learning	NOUN
fbem-25626	22	3	methods	method	NOUN
fbem-25626	22	4	,	,	PUNCT
fbem-25626	22	5	especially	especially	ADV
fbem-25626	22	6	deep	deep	ADJ
fbem-25626	22	7	learning	learning	NOUN
fbem-25626	22	8	methods	method	NOUN
fbem-25626	22	9	that	that	PRON
fbem-25626	22	10	have	have	AUX
fbem-25626	22	11	emerged	emerge	VERB
fbem-25626	22	12	in	in	ADP
fbem-25626	22	13	recent	recent	ADJ
fbem-25626	22	14	years	year	NOUN
fbem-25626	22	15	,	,	PUNCT
fbem-25626	22	16	provide	provide	VERB
fbem-25626	22	17	new	new	ADJ
fbem-25626	22	18	ideas	idea	NOUN
fbem-25626	22	19	for	for	ADP
fbem-25626	22	20	cpi	cpi	NOUN
fbem-25626	22	21	forecasting	forecasting	NOUN
fbem-25626	22	22	.	.	PUNCT
fbem-25626	23	1	these	these	DET
fbem-25626	23	2	methods	method	NOUN
fbem-25626	23	3	can	can	AUX
fbem-25626	23	4	handle	handle	VERB
fbem-25626	23	5	more	more	ADJ
fbem-25626	23	6	complex	complex	ADJ
fbem-25626	23	7	nonlinear	nonlinear	ADJ
fbem-25626	23	8	relationships	relationship	NOUN
fbem-25626	23	9	by	by	ADP
fbem-25626	23	10	automatically	automatically	ADV
fbem-25626	23	11	learning	learn	VERB
fbem-25626	23	12	features	feature	NOUN
fbem-25626	23	13	and	and	CCONJ
fbem-25626	23	14	patterns	pattern	NOUN
fbem-25626	23	15	from	from	ADP
fbem-25626	23	16	large	large	ADJ
fbem-25626	23	17	amounts	amount	NOUN
fbem-25626	23	18	of	of	ADP
fbem-25626	23	19	data	datum	NOUN
fbem-25626	23	20	(	(	PUNCT
fbem-25626	23	21	maehashi	maehashi	PROPN
fbem-25626	23	22	&	&	CCONJ
fbem-25626	23	23	shintani	shintani	PROPN
fbem-25626	23	24	,	,	PUNCT
fbem-25626	23	25	2020	2020	NUM
fbem-25626	23	26	;	;	PUNCT
fbem-25626	23	27	du	du	X
fbem-25626	23	28	,	,	PUNCT
fbem-25626	23	29	2018	2018	NUM
fbem-25626	23	30	;	;	PUNCT
fbem-25626	23	31	samiami	samiami	NOUN
fbem-25626	23	32	-	-	PUNCT
fbem-25626	23	33	namini	namini	NOUN
fbem-25626	23	34	et	et	PROPN
fbem-25626	23	35	al	al	PROPN
fbem-25626	23	36	.	.	PROPN
fbem-25626	23	37	,	,	PUNCT
fbem-25626	23	38	2018	2018	NUM
fbem-25626	23	39	)	)	PUNCT
fbem-25626	23	40	,	,	PUNCT
fbem-25626	23	41	and	and	CCONJ
fbem-25626	23	42	can	can	AUX
fbem-25626	23	43	account	account	VERB
fbem-25626	23	44	for	for	ADP
fbem-25626	23	45	long	long	ADJ
fbem-25626	23	46	-	-	PUNCT
fbem-25626	23	47	term	term	NOUN
fbem-25626	23	48	temporal	temporal	ADJ
fbem-25626	23	49	correlations	correlation	NOUN
fbem-25626	23	50	in	in	ADP
fbem-25626	23	51	sequential	sequential	ADJ
fbem-25626	23	52	data	datum	NOUN
fbem-25626	23	53	,	,	PUNCT
fbem-25626	23	54	thus	thus	ADV
fbem-25626	23	55	demonstrating	demonstrate	VERB
fbem-25626	23	56	higher	high	ADJ
fbem-25626	23	57	cpi	cpi	NOUN
fbem-25626	23	58	forecasting	forecasting	NOUN
fbem-25626	23	59	in	in	ADP
fbem-25626	23	60	terms	term	NOUN
fbem-25626	23	61	of	of	ADP
fbem-25626	23	62	accuracy	accuracy	NOUN
fbem-25626	23	63	and	and	CCONJ
fbem-25626	23	64	adaptability	adaptability	NOUN
fbem-25626	23	65	(	(	PUNCT
fbem-25626	23	66	rohmah	rohmah	NOUN
fbem-25626	23	67	et	et	PROPN
fbem-25626	23	68	al	al	PROPN
fbem-25626	23	69	.	.	PROPN
fbem-25626	23	70	,	,	PUNCT
fbem-25626	23	71	2021	2021	NUM
fbem-25626	23	72	;	;	PUNCT
fbem-25626	23	73	rohmah	rohmah	PROPN
fbem-25626	23	74	et	et	PROPN
fbem-25626	23	75	al	al	PROPN
fbem-25626	23	76	.	.	PROPN
fbem-25626	23	77	,	,	PUNCT
fbem-25626	23	78	2020	2020	NUM
fbem-25626	23	79	;	;	PUNCT
fbem-25626	23	80	wang	wang	PROPN
fbem-25626	23	81	&	&	CCONJ
fbem-25626	23	82	fan	fan	PROPN
fbem-25626	23	83	,	,	PUNCT
fbem-25626	23	84	2010	2010	NUM
fbem-25626	23	85	;	;	PUNCT
fbem-25626	23	86	feihu	feihu	PROPN
fbem-25626	23	87	qin	qin	PROPN
fbem-25626	23	88	et	et	PROPN
fbem-25626	23	89	al	al	PROPN
fbem-25626	23	90	.	.	PROPN
fbem-25626	23	91	,	,	PUNCT
fbem-25626	23	92	2010	2010	NUM
fbem-25626	23	93	)	)	PUNCT
fbem-25626	23	94	.	.	PUNCT
fbem-25626	24	1	such	such	ADJ
fbem-25626	24	2	as	as	ADP
fbem-25626	24	3	recurrent	recurrent	ADJ
fbem-25626	24	4	neural	neural	ADJ
fbem-25626	24	5	networks	network	NOUN
fbem-25626	24	6	(	(	PUNCT
fbem-25626	24	7	rnn	rnn	PROPN
fbem-25626	24	8	)	)	PUNCT
fbem-25626	24	9	or	or	CCONJ
fbem-25626	24	10	long	long	ADJ
fbem-25626	24	11	short	short	ADJ
fbem-25626	24	12	-	-	PUNCT
fbem-25626	24	13	term	term	NOUN
fbem-25626	24	14	memory	memory	NOUN
fbem-25626	24	15	networks	network	NOUN
fbem-25626	24	16	(	(	PUNCT
fbem-25626	24	17	lstm	lstm	NOUN
fbem-25626	24	18	)	)	PUNCT
fbem-25626	24	19	.	.	PUNCT
fbem-25626	25	1	lstm	lstm	PROPN
fbem-25626	25	2	model	model	NOUN
fbem-25626	25	3	is	be	AUX
fbem-25626	25	4	a	a	DET
fbem-25626	25	5	deep	deep	ADJ
fbem-25626	25	6	learning	learning	NOUN
fbem-25626	25	7	model	model	NOUN
fbem-25626	25	8	suitable	suitable	ADJ
fbem-25626	25	9	for	for	ADP
fbem-25626	25	10	processing	process	VERB
fbem-25626	25	11	sequential	sequential	ADJ
fbem-25626	25	12	data	datum	NOUN
fbem-25626	25	13	,	,	PUNCT
fbem-25626	25	14	which	which	PRON
fbem-25626	25	15	makes	make	VERB
fbem-25626	25	16	it	it	PRON
fbem-25626	25	17	a	a	DET
fbem-25626	25	18	powerful	powerful	ADJ
fbem-25626	25	19	tool	tool	NOUN
fbem-25626	25	20	within	within	ADP
fbem-25626	25	21	the	the	DET
fbem-25626	25	22	realm	realm	NOUN
fbem-25626	25	23	of	of	ADP
fbem-25626	25	24	sequential	sequential	ADJ
fbem-25626	25	25	data	datum	NOUN
fbem-25626	25	26	forecasting	forecast	VERB
fbem-25626	25	27	through	through	ADP
fbem-25626	25	28	its	its	PRON
fbem-25626	25	29	unique	unique	ADJ
fbem-25626	25	30	gating	gating	NOUN
fbem-25626	25	31	mechanism	mechanism	NOUN
fbem-25626	25	32	and	and	CCONJ
fbem-25626	25	33	memory	memory	NOUN
fbem-25626	25	34	units	unit	NOUN
fbem-25626	25	35	.	.	PUNCT
fbem-25626	26	1	for	for	ADP
fbem-25626	26	2	example	example	NOUN
fbem-25626	26	3	,	,	PUNCT
fbem-25626	26	4	s.	s.	PROPN
fbem-25626	26	5	zahara	zahara	PROPN
fbem-25626	26	6	et	et	PROPN
fbem-25626	26	7	al	al	PROPN
fbem-25626	26	8	.	.	PROPN
fbem-25626	26	9	(	(	PUNCT
fbem-25626	26	10	2020	2020	NUM
fbem-25626	26	11	)	)	PUNCT
fbem-25626	26	12	combined	combine	VERB
fbem-25626	26	13	lstm	lstm	NOUN
fbem-25626	26	14	and	and	CCONJ
fbem-25626	26	15	cloud	cloud	NOUN
fbem-25626	26	16	computing	computing	NOUN
fbem-25626	26	17	techniques	technique	NOUN
fbem-25626	26	18	for	for	ADP
fbem-25626	26	19	cpi	cpi	PROPN
fbem-25626	26	20	forecasting	forecasting	NOUN
fbem-25626	26	21	,	,	PUNCT
fbem-25626	26	22	astrakhantseva	astrakhantseva	PROPN
fbem-25626	26	23	et	et	PROPN
fbem-25626	26	24	al	al	PROPN
fbem-25626	26	25	.	.	PROPN
fbem-25626	27	1	(	(	PUNCT
fbem-25626	27	2	2021	2021	NUM
fbem-25626	27	3	)	)	PUNCT
fbem-25626	27	4	used	use	VERB
fbem-25626	27	5	an	an	DET
fbem-25626	27	6	lstm	lstm	NOUN
fbem-25626	27	7	-	-	PUNCT
fbem-25626	27	8	based	base	VERB
fbem-25626	27	9	model	model	NOUN
fbem-25626	27	10	and	and	CCONJ
fbem-25626	27	11	introduced	introduce	VERB
fbem-25626	27	12	a	a	DET
fbem-25626	27	13	"	"	PUNCT
fbem-25626	27	14	dual	dual	ADJ
fbem-25626	27	15	attention	attention	NOUN
fbem-25626	27	16	"	"	PUNCT
fbem-25626	27	17	mechanism	mechanism	NOUN
fbem-25626	27	18	to	to	PART
fbem-25626	27	19	automatically	automatically	ADV
fbem-25626	27	20	detect	detect	VERB
fbem-25626	27	21	the	the	DET
fbem-25626	27	22	effect	effect	NOUN
fbem-25626	27	23	of	of	ADP
fbem-25626	27	24	the	the	DET
fbem-25626	27	25	time	time	NOUN
fbem-25626	27	26	point	point	NOUN
fbem-25626	27	27	on	on	ADP
fbem-25626	27	28	the	the	DET
fbem-25626	27	29	forecasts	forecast	NOUN
fbem-25626	27	30	,	,	PUNCT
fbem-25626	27	31	reynaldo	reynaldo	PROPN
fbem-25626	27	32	rosado	rosado	NOUN
fbem-25626	27	33	et	et	PROPN
fbem-25626	27	34	al	al	PROPN
fbem-25626	27	35	.	.	PROPN
fbem-25626	28	1	(	(	PUNCT
fbem-25626	28	2	2021	2021	NUM
fbem-25626	28	3	)	)	PUNCT
fbem-25626	28	4	used	use	VERB
fbem-25626	28	5	an	an	DET
fbem-25626	28	6	lstm	lstm	NOUN
fbem-25626	28	7	-	-	PUNCT
fbem-25626	28	8	based	base	VERB
fbem-25626	28	9	model	model	NOUN
fbem-25626	28	10	and	and	CCONJ
fbem-25626	28	11	introduced	introduce	VERB
fbem-25626	28	12	a	a	DET
fbem-25626	28	13	"	"	PUNCT
fbem-25626	28	14	dual	dual	ADJ
fbem-25626	28	15	attention	attention	NOUN
fbem-25626	28	16	"	"	PUNCT
fbem-25626	28	17	mechanism	mechanism	NOUN
fbem-25626	28	18	to	to	PART
fbem-25626	28	19	automatically	automatically	ADV
fbem-25626	28	20	detect	detect	VERB
fbem-25626	28	21	the	the	DET
fbem-25626	28	22	effect	effect	NOUN
fbem-25626	28	23	of	of	ADP
fbem-25626	28	24	the	the	DET
fbem-25626	28	25	time	time	NOUN
fbem-25626	28	26	point	point	NOUN
fbem-25626	28	27	on	on	ADP
fbem-25626	28	28	the	the	DET
fbem-25626	28	29	forecasts	forecast	NOUN
fbem-25626	28	30	.	.	PUNCT
fbem-25626	29	1	reynaldo	reynaldo	PROPN
fbem-25626	29	2	rosado	rosado	PROPN
fbem-25626	29	3	et	et	PROPN
fbem-25626	29	4	al	al	PROPN
fbem-25626	29	5	.	.	PROPN
fbem-25626	29	6	(	(	PUNCT
fbem-25626	29	7	2021	2021	NUM
fbem-25626	29	8	)	)	PUNCT
fbem-25626	29	9	used	use	VERB
fbem-25626	29	10	different	different	ADJ
fbem-25626	29	11	lstm	lstm	PROPN
fbem-25626	29	12	model	model	NOUN
fbem-25626	29	13	architectures	architecture	NOUN
fbem-25626	29	14	for	for	ADP
fbem-25626	29	15	forecasting	forecast	VERB
fbem-25626	29	16	cpi	cpi	PROPN
fbem-25626	29	17	with	with	ADP
fbem-25626	29	18	good	good	ADJ
fbem-25626	29	19	results	result	NOUN
fbem-25626	29	20	.	.	PUNCT
fbem-25626	30	1	cpi	cpi	PROPN
fbem-25626	30	2	price	price	NOUN
fbem-25626	30	3	index	index	NOUN
fbem-25626	30	4	is	be	AUX
fbem-25626	30	5	often	often	ADV
fbem-25626	30	6	affected	affect	VERB
fbem-25626	30	7	by	by	ADP
fbem-25626	30	8	numerous	numerous	ADJ
fbem-25626	30	9	elements	element	NOUN
fbem-25626	30	10	,	,	PUNCT
fbem-25626	30	11	such	such	ADJ
fbem-25626	30	12	as	as	ADP
fbem-25626	30	13	economic	economic	ADJ
fbem-25626	30	14	activity	activity	NOUN
fbem-25626	30	15	,	,	PUNCT
fbem-25626	30	16	market	market	NOUN
fbem-25626	30	17	supply	supply	NOUN
fbem-25626	30	18	and	and	CCONJ
fbem-25626	30	19	demand	demand	NOUN
fbem-25626	30	20	,	,	PUNCT
fbem-25626	30	21	and	and	CCONJ
fbem-25626	30	22	changes	change	NOUN
fbem-25626	30	23	.	.	PUNCT
fbem-25626	31	1	these	these	DET
fbem-25626	31	2	factors	factor	NOUN
fbem-25626	31	3	may	may	AUX
fbem-25626	31	4	produce	produce	VERB
fbem-25626	31	5	complex	complex	ADJ
fbem-25626	31	6	nonlinear	nonlinear	ADJ
fbem-25626	31	7	relationships	relationship	NOUN
fbem-25626	31	8	,	,	PUNCT
fbem-25626	31	9	and	and	CCONJ
fbem-25626	31	10	the	the	DET
fbem-25626	31	11	lstm	lstm	NOUN
fbem-25626	31	12	model	model	NOUN
fbem-25626	31	13	can	can	AUX
fbem-25626	31	14	better	well	ADV
fbem-25626	31	15	capture	capture	VERB
fbem-25626	31	16	and	and	CCONJ
fbem-25626	31	17	predict	predict	VERB
fbem-25626	31	18	these	these	DET
fbem-25626	31	19	nonlinear	nonlinear	ADJ
fbem-25626	31	20	trends	trend	NOUN
fbem-25626	31	21	.	.	PUNCT
fbem-25626	32	1	combining	combine	VERB
fbem-25626	32	2	the	the	DET
fbem-25626	32	3	arima	arima	PROPN
fbem-25626	32	4	and	and	CCONJ
fbem-25626	32	5	lstm	lstm	NOUN
fbem-25626	32	6	models	model	NOUN
fbem-25626	32	7	,	,	PUNCT
fbem-25626	32	8	leaving	leave	VERB
fbem-25626	32	9	the	the	DET
fbem-25626	32	10	linear	linear	ADJ
fbem-25626	32	11	trends	trend	NOUN
fbem-25626	32	12	to	to	ADP
fbem-25626	32	13	the	the	DET
fbem-25626	32	14	arima	arima	PROPN
fbem-25626	32	15	model	model	NOUN
fbem-25626	32	16	and	and	CCONJ
fbem-25626	32	17	the	the	DET
fbem-25626	32	18	nonlinear	nonlinear	ADJ
fbem-25626	32	19	trends	trend	NOUN
fbem-25626	32	20	to	to	ADP
fbem-25626	32	21	the	the	DET
fbem-25626	32	22	lstm	lstm	PROPN
fbem-25626	32	23	type	type	NOUN
fbem-25626	32	24	,	,	PUNCT
fbem-25626	32	25	can	can	AUX
fbem-25626	32	26	harness	harness	VERB
fbem-25626	32	27	the	the	DET
fbem-25626	32	28	strengths	strength	NOUN
fbem-25626	32	29	of	of	ADP
fbem-25626	32	30	both	both	DET
fbem-25626	32	31	approaches	approach	NOUN
fbem-25626	32	32	and	and	CCONJ
fbem-25626	32	33	improve	improve	VERB
fbem-25626	32	34	the	the	DET
fbem-25626	32	35	model	model	NOUN
fbem-25626	32	36	prediction	prediction	NOUN
fbem-25626	32	37	accuracy	accuracy	NOUN
fbem-25626	32	38	.	.	PUNCT
fbem-25626	33	1	sarveswararao	sarveswararao	NOUN
fbem-25626	33	2	and	and	CCONJ
fbem-25626	33	3	ravi	ravi	PROPN
fbem-25626	33	4	(	(	PUNCT
fbem-25626	33	5	2020	2020	NUM
fbem-25626	33	6	)	)	PUNCT
fbem-25626	33	7	proposed	propose	VERB
fbem-25626	33	8	a	a	DET
fbem-25626	33	9	two	two	NUM
fbem-25626	33	10	-	-	PUNCT
fbem-25626	33	11	stage	stage	NOUN
fbem-25626	33	12	hybrid	hybrid	NOUN
fbem-25626	33	13	model	model	NOUN
fbem-25626	33	14	and	and	CCONJ
fbem-25626	33	15	concluded	conclude	VERB
fbem-25626	33	16	that	that	SCONJ
fbem-25626	33	17	the	the	DET
fbem-25626	33	18	chaos	chaos	NOUN
fbem-25626	33	19	and	and	CCONJ
fbem-25626	33	20	machine	machine	NOUN
fbem-25626	33	21	learning	learn	VERB
fbem-25626	33	22	hybrid	hybrid	ADJ
fbem-25626	33	23	model	model	NOUN
fbem-25626	33	24	outperforms	outperform	VERB
fbem-25626	33	25	the	the	DET
fbem-25626	33	26	pure	pure	ADJ
fbem-25626	33	27	machine	machine	NOUN
fbem-25626	33	28	learning	learn	VERB
fbem-25626	33	29	algorithm	algorithm	NOUN
fbem-25626	33	30	in	in	ADP
fbem-25626	33	31	terms	term	NOUN
fbem-25626	33	32	of	of	ADP
fbem-25626	33	33	symmetric	symmetric	ADJ
fbem-25626	33	34	mean	mean	ADJ
fbem-25626	33	35	absolute	absolute	ADJ
fbem-25626	33	36	percentage	percentage	NOUN
fbem-25626	33	37	error	error	NOUN
fbem-25626	33	38	,	,	PUNCT
fbem-25626	33	39	theil	theil	PROPN
fbem-25626	33	40	's	's	PART
fbem-25626	33	41	u	u	NOUN
fbem-25626	33	42	statistic	statistic	NOUN
fbem-25626	33	43	,	,	PUNCT
fbem-25626	33	44	and	and	CCONJ
fbem-25626	33	45	directional	directional	ADJ
fbem-25626	33	46	statistics	statistic	NOUN
fbem-25626	33	47	.	.	PUNCT
fbem-25626	34	1	d	d	X
fbem-25626	34	2	xu	xu	INTJ
fbem-25626	34	3	et	et	PROPN
fbem-25626	34	4	al	al	PROPN
fbem-25626	34	5	.	.	PROPN
fbem-25626	35	1	(	(	PUNCT
fbem-25626	35	2	2022	2022	NUM
fbem-25626	35	3	)	)	PUNCT
fbem-25626	35	4	compared	compare	VERB
fbem-25626	35	5	and	and	CCONJ
fbem-25626	35	6	analyzed	analyze	VERB
fbem-25626	35	7	six	six	NUM
fbem-25626	35	8	models	model	NOUN
fbem-25626	35	9	and	and	CCONJ
fbem-25626	35	10	arima	arima	NOUN
fbem-25626	35	11	-	-	PUNCT
fbem-25626	35	12	lstm	lstm	NOUN
fbem-25626	35	13	used	use	VERB
fbem-25626	35	14	to	to	PART
fbem-25626	35	15	predict	predict	VERB
fbem-25626	35	16	dry	dry	ADJ
fbem-25626	35	17	weather	weather	NOUN
fbem-25626	35	18	.	.	PUNCT
fbem-25626	36	1	the	the	DET
fbem-25626	36	2	findings	finding	NOUN
fbem-25626	36	3	indicated	indicate	VERB
fbem-25626	36	4	that	that	SCONJ
fbem-25626	36	5	hybrid	hybrid	NOUN
fbem-25626	36	6	models	model	NOUN
fbem-25626	36	7	outperformed	outperform	VERB
fbem-25626	36	8	standalone	standalone	NOUN
fbem-25626	36	9	models	model	NOUN
fbem-25626	36	10	in	in	ADP
fbem-25626	36	11	terms	term	NOUN
fbem-25626	36	12	of	of	ADP
fbem-25626	36	13	predictive	predictive	ADJ
fbem-25626	36	14	precision	precision	NOUN
fbem-25626	36	15	.	.	PUNCT
fbem-25626	37	1	furthermore	furthermore	ADV
fbem-25626	37	2	,	,	PUNCT
fbem-25626	37	3	the	the	DET
fbem-25626	37	4	arima	arima	NOUN
fbem-25626	37	5	-	-	PUNCT
fbem-25626	37	6	lstm	lstm	PROPN
fbem-25626	37	7	model	model	NOUN
fbem-25626	37	8	achieved	achieve	VERB
fbem-25626	37	9	the	the	DET
fbem-25626	37	10	greatest	great	ADJ
fbem-25626	37	11	level	level	NOUN
fbem-25626	37	12	of	of	ADP
fbem-25626	37	13	forecasting	forecasting	NOUN
fbem-25626	37	14	accuracy	accuracy	NOUN
fbem-25626	37	15	at	at	ADP
fbem-25626	37	16	6	6	NUM
fbem-25626	37	17	,	,	PUNCT
fbem-25626	37	18	12	12	NUM
fbem-25626	37	19	,	,	PUNCT
fbem-25626	37	20	and	and	CCONJ
fbem-25626	37	21	24	24	NUM
fbem-25626	37	22	-	-	PUNCT
fbem-25626	37	23	month	month	NOUN
fbem-25626	37	24	scales	scale	NOUN
fbem-25626	37	25	.	.	PUNCT
fbem-25626	38	1	265	265	NUM
fbem-25626	38	2	morikawa	morikawa	NOUN
fbem-25626	38	3	(	(	PUNCT
fbem-25626	38	4	2022	2022	NUM
fbem-25626	38	5	)	)	PUNCT
fbem-25626	38	6	aimed	aim	VERB
fbem-25626	38	7	to	to	PART
fbem-25626	38	8	predict	predict	VERB
fbem-25626	38	9	in	in	ADP
fbem-25626	38	10	-	-	PUNCT
fbem-25626	38	11	vehicle	vehicle	NOUN
fbem-25626	38	12	carbon	carbon	NOUN
fbem-25626	38	13	dioxide	dioxide	NOUN
fbem-25626	38	14	(	(	PUNCT
fbem-25626	38	15	co2	co2	NOUN
fbem-25626	38	16	)	)	PUNCT
fbem-25626	38	17	concentration	concentration	NOUN
fbem-25626	38	18	by	by	ADP
fbem-25626	38	19	arima	arima	PROPN
fbem-25626	38	20	and	and	CCONJ
fbem-25626	38	21	lstm	lstm	NOUN
fbem-25626	38	22	models	model	NOUN
fbem-25626	38	23	and	and	CCONJ
fbem-25626	38	24	to	to	PART
fbem-25626	38	25	evaluate	evaluate	VERB
fbem-25626	38	26	the	the	DET
fbem-25626	38	27	comparative	comparative	ADJ
fbem-25626	38	28	predictive	predictive	ADJ
fbem-25626	38	29	precision	precision	NOUN
fbem-25626	38	30	of	of	ADP
fbem-25626	38	31	these	these	DET
fbem-25626	38	32	two	two	NUM
fbem-25626	38	33	approaches	approach	NOUN
fbem-25626	38	34	.	.	PUNCT
fbem-25626	39	1	hadwan	hadwan	PROPN
fbem-25626	39	2	et	et	PROPN
fbem-25626	39	3	al	al	PROPN
fbem-25626	39	4	.	.	PROPN
fbem-25626	40	1	(	(	PUNCT
fbem-25626	40	2	2022	2022	NUM
fbem-25626	40	3	)	)	PUNCT
fbem-25626	40	4	proposed	propose	VERB
fbem-25626	40	5	a	a	DET
fbem-25626	40	6	hybrid	hybrid	ADJ
fbem-25626	40	7	prediction	prediction	NOUN
fbem-25626	40	8	method	method	NOUN
fbem-25626	40	9	consisting	consist	VERB
fbem-25626	40	10	of	of	ADP
fbem-25626	40	11	three	three	NUM
fbem-25626	40	12	models	model	NOUN
fbem-25626	40	13	:	:	PUNCT
fbem-25626	40	14	an	an	DET
fbem-25626	40	15	initial	initial	ADJ
fbem-25626	40	16	model	model	NOUN
fbem-25626	40	17	grounded	ground	VERB
fbem-25626	40	18	in	in	ADP
fbem-25626	40	19	arima	arima	PROPN
fbem-25626	40	20	;	;	PUNCT
fbem-25626	40	21	a	a	DET
fbem-25626	40	22	second	second	ADJ
fbem-25626	40	23	model	model	NOUN
fbem-25626	40	24	with	with	ADP
fbem-25626	40	25	a	a	DET
fbem-25626	40	26	backpropagation	backpropagation	NOUN
fbem-25626	40	27	neural	neural	ADJ
fbem-25626	40	28	network	network	NOUN
fbem-25626	40	29	(	(	PUNCT
fbem-25626	40	30	bpnn	bpnn	NOUN
fbem-25626	40	31	)	)	PUNCT
fbem-25626	40	32	featuring	feature	VERB
fbem-25626	40	33	adjustable	adjustable	ADJ
fbem-25626	40	34	gradient	gradient	NOUN
fbem-25626	40	35	and	and	CCONJ
fbem-25626	40	36	momentum	momentum	NOUN
fbem-25626	40	37	coefficients	coefficient	NOUN
fbem-25626	40	38	;	;	PUNCT
fbem-25626	40	39	and	and	CCONJ
fbem-25626	40	40	a	a	DET
fbem-25626	40	41	fusion	fusion	NOUN
fbem-25626	40	42	of	of	ADP
fbem-25626	40	43	arima	arima	NOUN
fbem-25626	40	44	and	and	CCONJ
fbem-25626	40	45	bpnn	bpnn	NOUN
fbem-25626	40	46	(	(	PUNCT
fbem-25626	40	47	arima	arima	PROPN
fbem-25626	40	48	/	/	SYM
fbem-25626	40	49	bpnn	bpnn	NOUN
fbem-25626	40	50	)	)	PUNCT
fbem-25626	40	51	as	as	ADV
fbem-25626	40	52	well	well	ADV
fbem-25626	40	53	as	as	ADP
fbem-25626	40	54	artificial	artificial	ADJ
fbem-25626	40	55	neural	neural	ADJ
fbem-25626	40	56	network	network	NOUN
fbem-25626	40	57	and	and	CCONJ
fbem-25626	40	58	arima	arima	PROPN
fbem-25626	40	59	(	(	PUNCT
fbem-25626	40	60	arima/	arima/	NUM
fbem-25626	40	61	ann	ann	PROPN
fbem-25626	40	62	)	)	PUNCT
fbem-25626	40	63	hybridization	hybridization	NOUN
fbem-25626	40	64	to	to	PART
fbem-25626	40	65	obtain	obtain	VERB
fbem-25626	40	66	the	the	DET
fbem-25626	40	67	advantages	advantage	NOUN
fbem-25626	40	68	of	of	ADP
fbem-25626	40	69	both	both	CCONJ
fbem-25626	40	70	linear	linear	ADJ
fbem-25626	40	71	and	and	CCONJ
fbem-25626	40	72	non	non	ADJ
fbem-25626	40	73	-	-	ADJ
fbem-25626	40	74	linear	linear	ADJ
fbem-25626	40	75	predictive	predictive	ADJ
fbem-25626	40	76	models	model	NOUN
fbem-25626	40	77	for	for	ADP
fbem-25626	40	78	predicting	predict	VERB
fbem-25626	40	79	cpi	cpi	PROPN
fbem-25626	40	80	index	index	PROPN
fbem-25626	40	81	.	.	PUNCT
fbem-25626	41	1	du	du	PROPN
fbem-25626	41	2	et	et	PROPN
fbem-25626	41	3	al	al	PROPN
fbem-25626	41	4	.	.	PROPN
fbem-25626	41	5	(	(	PUNCT
fbem-25626	41	6	2014	2014	NUM
fbem-25626	41	7	)	)	PUNCT
fbem-25626	41	8	combined	combine	VERB
fbem-25626	41	9	the	the	DET
fbem-25626	41	10	three	three	NUM
fbem-25626	41	11	methods	method	NOUN
fbem-25626	41	12	of	of	ADP
fbem-25626	41	13	arima	arima	PROPN
fbem-25626	41	14	,	,	PUNCT
fbem-25626	41	15	gray	gray	ADJ
fbem-25626	41	16	model	model	NOUN
fbem-25626	41	17	,	,	PUNCT
fbem-25626	41	18	and	and	CCONJ
fbem-25626	41	19	bpnn	bpnn	NOUN
fbem-25626	41	20	.	.	PUNCT
fbem-25626	42	1	by	by	ADP
fbem-25626	42	2	improving	improve	VERB
fbem-25626	42	3	the	the	DET
fbem-25626	42	4	prediction	prediction	NOUN
fbem-25626	42	5	method	method	NOUN
fbem-25626	42	6	,	,	PUNCT
fbem-25626	42	7	the	the	DET
fbem-25626	42	8	accuracy	accuracy	NOUN
fbem-25626	42	9	of	of	ADP
fbem-25626	42	10	sub	sub	ADJ
fbem-25626	42	11	-	-	ADJ
fbem-25626	42	12	cpi	cpi	ADJ
fbem-25626	42	13	prediction	prediction	NOUN
fbem-25626	42	14	was	be	AUX
fbem-25626	42	15	improved	improve	VERB
fbem-25626	42	16	and	and	CCONJ
fbem-25626	42	17	the	the	DET
fbem-25626	42	18	method	method	NOUN
fbem-25626	42	19	outperformed	outperform	VERB
fbem-25626	42	20	many	many	ADJ
fbem-25626	42	21	frequently	frequently	ADV
fbem-25626	42	22	employed	employ	VERB
fbem-25626	42	23	forecasting	forecasting	NOUN
fbem-25626	42	24	techniques	technique	NOUN
fbem-25626	42	25	regarding	regard	VERB
fbem-25626	42	26	their	their	PRON
fbem-25626	42	27	precision	precision	NOUN
fbem-25626	42	28	and	and	CCONJ
fbem-25626	42	29	stability	stability	NOUN
fbem-25626	42	30	.	.	PUNCT
fbem-25626	43	1	this	this	DET
fbem-25626	43	2	literature	literature	NOUN
fbem-25626	43	3	provides	provide	VERB
fbem-25626	43	4	specific	specific	ADJ
fbem-25626	43	5	methodological	methodological	ADJ
fbem-25626	43	6	and	and	CCONJ
fbem-25626	43	7	empirical	empirical	ADJ
fbem-25626	43	8	studies	study	NOUN
fbem-25626	43	9	on	on	ADP
fbem-25626	43	10	the	the	DET
fbem-25626	43	11	application	application	NOUN
fbem-25626	43	12	of	of	ADP
fbem-25626	43	13	a	a	DET
fbem-25626	43	14	combination	combination	NOUN
fbem-25626	43	15	of	of	ADP
fbem-25626	43	16	linear	linear	PROPN
fbem-25626	43	17	and	and	CCONJ
fbem-25626	43	18	non	non	ADJ
fbem-25626	43	19	-	-	ADJ
fbem-25626	43	20	linear	linear	ADJ
fbem-25626	43	21	models	model	NOUN
fbem-25626	43	22	to	to	ADP
fbem-25626	43	23	sequential	sequential	ADJ
fbem-25626	43	24	data	datum	NOUN
fbem-25626	43	25	forecasting	forecasting	NOUN
fbem-25626	43	26	.	.	PUNCT
fbem-25626	44	1	these	these	DET
fbem-25626	44	2	studies	study	NOUN
fbem-25626	44	3	show	show	VERB
fbem-25626	44	4	that	that	SCONJ
fbem-25626	44	5	forecasting	forecasting	NOUN
fbem-25626	44	6	accuracy	accuracy	NOUN
fbem-25626	44	7	can	can	AUX
fbem-25626	44	8	be	be	AUX
fbem-25626	44	9	improved	improve	VERB
fbem-25626	44	10	,	,	PUNCT
fbem-25626	44	11	uncertainty	uncertainty	NOUN
fbem-25626	44	12	can	can	AUX
fbem-25626	44	13	be	be	AUX
fbem-25626	44	14	reduced	reduce	VERB
fbem-25626	44	15	,	,	PUNCT
fbem-25626	44	16	and	and	CCONJ
fbem-25626	44	17	complex	complex	ADJ
fbem-25626	44	18	relationships	relationship	NOUN
fbem-25626	44	19	in	in	ADP
fbem-25626	44	20	time	time	NOUN
fbem-25626	44	21	series	series	PROPN
fbem-25626	44	22	can	can	AUX
fbem-25626	44	23	be	be	AUX
fbem-25626	44	24	better	well	ADV
fbem-25626	44	25	captured	capture	VERB
fbem-25626	44	26	by	by	ADP
fbem-25626	44	27	combining	combine	VERB
fbem-25626	44	28	multiple	multiple	ADJ
fbem-25626	44	29	models	model	NOUN
fbem-25626	44	30	.	.	PUNCT
fbem-25626	45	1	although	although	SCONJ
fbem-25626	45	2	each	each	DET
fbem-25626	45	3	dataset	dataset	NOUN
fbem-25626	45	4	and	and	CCONJ
fbem-25626	45	5	application	application	NOUN
fbem-25626	45	6	scenario	scenario	NOUN
fbem-25626	45	7	has	have	AUX
fbem-25626	45	8	own	own	VERB
fbem-25626	45	9	specific	specific	ADJ
fbem-25626	45	10	requirements	requirement	NOUN
fbem-25626	45	11	,	,	PUNCT
fbem-25626	45	12	these	these	DET
fbem-25626	45	13	studies	study	NOUN
fbem-25626	45	14	provide	provide	VERB
fbem-25626	45	15	useful	useful	ADJ
fbem-25626	45	16	guidance	guidance	NOUN
fbem-25626	45	17	and	and	CCONJ
fbem-25626	45	18	inspiration	inspiration	NOUN
fbem-25626	45	19	for	for	ADP
fbem-25626	45	20	carrying	carry	VERB
fbem-25626	45	21	out	out	ADP
fbem-25626	45	22	the	the	DET
fbem-25626	45	23	practice	practice	NOUN
fbem-25626	45	24	of	of	ADP
fbem-25626	45	25	combining	combine	VERB
fbem-25626	45	26	predictive	predictive	ADJ
fbem-25626	45	27	models	model	NOUN
fbem-25626	45	28	.	.	PUNCT
fbem-25626	46	1	the	the	DET
fbem-25626	46	2	remainder	remainder	NOUN
fbem-25626	46	3	of	of	ADP
fbem-25626	46	4	the	the	DET
fbem-25626	46	5	study	study	NOUN
fbem-25626	46	6	is	be	AUX
fbem-25626	46	7	structured	structure	VERB
fbem-25626	46	8	in	in	ADP
fbem-25626	46	9	the	the	DET
fbem-25626	46	10	following	follow	VERB
fbem-25626	46	11	manner	manner	NOUN
fbem-25626	46	12	:	:	PUNCT
fbem-25626	46	13	in	in	ADP
fbem-25626	46	14	section	section	NOUN
fbem-25626	46	15	2	2	NUM
fbem-25626	46	16	,	,	PUNCT
fbem-25626	46	17	this	this	DET
fbem-25626	46	18	study	study	NOUN
fbem-25626	46	19	describes	describe	VERB
fbem-25626	46	20	the	the	DET
fbem-25626	46	21	suggested	suggest	VERB
fbem-25626	46	22	model	model	NOUN
fbem-25626	46	23	in	in	ADP
fbem-25626	46	24	detail	detail	NOUN
fbem-25626	46	25	.	.	PUNCT
fbem-25626	47	1	in	in	ADP
fbem-25626	47	2	section	section	NOUN
fbem-25626	47	3	3	3	NUM
fbem-25626	47	4	gives	give	VERB
fbem-25626	47	5	the	the	DET
fbem-25626	47	6	analytical	analytical	ADJ
fbem-25626	47	7	forecasting	forecasting	NOUN
fbem-25626	47	8	process	process	NOUN
fbem-25626	47	9	of	of	ADP
fbem-25626	47	10	china	china	PROPN
fbem-25626	47	11	's	's	PART
fbem-25626	47	12	cpi	cpi	NOUN
fbem-25626	47	13	,	,	PUNCT
fbem-25626	47	14	i.e.	i.e.	X
fbem-25626	47	15	,	,	PUNCT
fbem-25626	47	16	the	the	DET
fbem-25626	47	17	linear	linear	ADJ
fbem-25626	47	18	forecasting	forecasting	NOUN
fbem-25626	47	19	of	of	ADP
fbem-25626	47	20	the	the	DET
fbem-25626	47	21	arima	arima	PROPN
fbem-25626	47	22	model	model	NOUN
fbem-25626	47	23	,	,	PUNCT
fbem-25626	47	24	the	the	DET
fbem-25626	47	25	non	non	ADJ
fbem-25626	47	26	-	-	ADJ
fbem-25626	47	27	linear	linear	ADJ
fbem-25626	47	28	predictive	predictive	ADJ
fbem-25626	47	29	power	power	NOUN
fbem-25626	47	30	of	of	ADP
fbem-25626	47	31	the	the	DET
fbem-25626	47	32	lstm	lstm	PROPN
fbem-25626	47	33	model	model	NOUN
fbem-25626	47	34	,	,	PUNCT
fbem-25626	47	35	and	and	CCONJ
fbem-25626	47	36	the	the	DET
fbem-25626	47	37	coupled	couple	VERB
fbem-25626	47	38	forecasting	forecasting	NOUN
fbem-25626	47	39	results	result	NOUN
fbem-25626	47	40	.	.	PUNCT
fbem-25626	48	1	in	in	ADP
fbem-25626	48	2	the	the	DET
fbem-25626	48	3	4	4	NUM
fbem-25626	48	4	sections	section	NOUN
fbem-25626	48	5	,	,	PUNCT
fbem-25626	48	6	a	a	DET
fbem-25626	48	7	comparative	comparative	ADJ
fbem-25626	48	8	analysis	analysis	NOUN
fbem-25626	48	9	of	of	ADP
fbem-25626	48	10	the	the	DET
fbem-25626	48	11	hybrid	hybrid	ADJ
fbem-25626	48	12	model	model	NOUN
fbem-25626	48	13	versus	versus	SCONJ
fbem-25626	48	14	the	the	DET
fbem-25626	48	15	standalone	standalone	NOUN
fbem-25626	48	16	models	model	NOUN
fbem-25626	48	17	is	be	AUX
fbem-25626	48	18	conducted	conduct	VERB
fbem-25626	48	19	.	.	PUNCT
fbem-25626	49	1	in	in	ADP
fbem-25626	49	2	the	the	DET
fbem-25626	49	3	5	5	NUM
fbem-25626	49	4	sections	section	NOUN
fbem-25626	49	5	,	,	PUNCT
fbem-25626	49	6	we	we	PRON
fbem-25626	49	7	summarize	summarize	VERB
fbem-25626	49	8	the	the	DET
fbem-25626	49	9	findings	finding	NOUN
fbem-25626	49	10	of	of	ADP
fbem-25626	49	11	the	the	DET
fbem-25626	49	12	research	research	NOUN
fbem-25626	49	13	.	.	PUNCT
fbem-25626	50	1	2	2	X
fbem-25626	50	2	.	.	X
fbem-25626	50	3	relevant	relevant	ADJ
fbem-25626	50	4	theoretical	theoretical	ADJ
fbem-25626	50	5	foundations	foundation	NOUN
fbem-25626	50	6	2.1	2.1	NUM
fbem-25626	50	7	.	.	PUNCT
fbem-25626	51	1	introduction	introduction	NOUN
fbem-25626	51	2	to	to	ADP
fbem-25626	51	3	the	the	DET
fbem-25626	51	4	arima	arima	PROPN
fbem-25626	51	5	model	model	NOUN
fbem-25626	51	6	arima	arima	PROPN
fbem-25626	51	7	is	be	AUX
fbem-25626	51	8	a	a	DET
fbem-25626	51	9	frequently	frequently	ADV
fbem-25626	51	10	employed	employ	VERB
fbem-25626	51	11	analytical	analytical	ADJ
fbem-25626	51	12	tool	tool	NOUN
fbem-25626	51	13	for	for	ADP
fbem-25626	51	14	sequential	sequential	ADJ
fbem-25626	51	15	data	datum	NOUN
fbem-25626	51	16	examination	examination	NOUN
fbem-25626	51	17	and	and	CCONJ
fbem-25626	51	18	forecasting	forecasting	NOUN
fbem-25626	51	19	.	.	PUNCT
fbem-25626	52	1	it	it	PRON
fbem-25626	52	2	models	model	VERB
fbem-25626	52	3	the	the	DET
fbem-25626	52	4	data	datum	NOUN
fbem-25626	52	5	by	by	ADP
fbem-25626	52	6	considering	consider	VERB
fbem-25626	52	7	the	the	DET
fbem-25626	52	8	autocorrelation	autocorrelation	NOUN
fbem-25626	52	9	(	(	PUNCT
fbem-25626	52	10	ar	ar	NOUN
fbem-25626	52	11	,	,	PUNCT
fbem-25626	52	12	autoregressive	autoregressive	ADJ
fbem-25626	52	13	)	)	PUNCT
fbem-25626	52	14	,	,	PUNCT
fbem-25626	52	15	lagged	lag	VERB
fbem-25626	52	16	difference	difference	NOUN
fbem-25626	52	17	(	(	PUNCT
fbem-25626	52	18	i	i	NOUN
fbem-25626	52	19	,	,	PUNCT
fbem-25626	52	20	integral	integral	ADJ
fbem-25626	52	21	)	)	PUNCT
fbem-25626	52	22	,	,	PUNCT
fbem-25626	52	23	and	and	CCONJ
fbem-25626	52	24	moving	move	VERB
fbem-25626	52	25	average	average	ADJ
fbem-25626	52	26	(	(	PUNCT
fbem-25626	52	27	ma	ma	PROPN
fbem-25626	52	28	,	,	PUNCT
fbem-25626	52	29	moving	move	VERB
fbem-25626	52	30	average	average	ADJ
fbem-25626	52	31	)	)	PUNCT
fbem-25626	52	32	aspects	aspect	NOUN
fbem-25626	52	33	of	of	ADP
fbem-25626	52	34	the	the	DET
fbem-25626	52	35	series	series	NOUN
fbem-25626	52	36	.	.	PUNCT
fbem-25626	53	1	the	the	DET
fbem-25626	53	2	general	general	ADJ
fbem-25626	53	3	form	form	NOUN
fbem-25626	53	4	of	of	ADP
fbem-25626	53	5	the	the	DET
fbem-25626	53	6	arima	arima	PROPN
fbem-25626	53	7	model	model	NOUN
fbem-25626	53	8	is	be	AUX
fbem-25626	53	9	arima	arima	PROPN
fbem-25626	53	10	(	(	PUNCT
fbem-25626	53	11	p	p	X
fbem-25626	53	12	,	,	PUNCT
fbem-25626	53	13	d	d	NOUN
fbem-25626	53	14	,	,	PUNCT
fbem-25626	53	15	q	q	X
fbem-25626	53	16	):	):	PUNCT
fbem-25626	53	17	p	p	NOUN
fbem-25626	53	18	represents	represent	VERB
fbem-25626	53	19	the	the	DET
fbem-25626	53	20	order	order	NOUN
fbem-25626	53	21	of	of	ADP
fbem-25626	53	22	the	the	DET
fbem-25626	53	23	autoregressive	autoregressive	ADJ
fbem-25626	53	24	term	term	NOUN
fbem-25626	53	25	(	(	PUNCT
fbem-25626	53	26	ar	ar	NOUN
fbem-25626	53	27	)	)	PUNCT
fbem-25626	53	28	,	,	PUNCT
fbem-25626	53	29	which	which	PRON
fbem-25626	53	30	denotes	denote	VERB
fbem-25626	53	31	the	the	DET
fbem-25626	53	32	count	count	NOUN
fbem-25626	53	33	of	of	ADP
fbem-25626	53	34	time	time	NOUN
fbem-25626	53	35	lags	lag	VERB
fbem-25626	53	36	for	for	ADP
fbem-25626	53	37	the	the	DET
fbem-25626	53	38	linear	linear	ADJ
fbem-25626	53	39	relationship	relationship	NOUN
fbem-25626	53	40	between	between	ADP
fbem-25626	53	41	the	the	DET
fbem-25626	53	42	historical	historical	ADJ
fbem-25626	53	43	data	datum	NOUN
fbem-25626	53	44	and	and	CCONJ
fbem-25626	53	45	the	the	DET
fbem-25626	53	46	current	current	ADJ
fbem-25626	53	47	values	value	NOUN
fbem-25626	53	48	in	in	ADP
fbem-25626	53	49	the	the	DET
fbem-25626	53	50	model	model	NOUN
fbem-25626	53	51	.	.	PUNCT
fbem-25626	54	1	d	d	NOUN
fbem-25626	54	2	signifies	signify	VERB
fbem-25626	54	3	the	the	DET
fbem-25626	54	4	order	order	NOUN
fbem-25626	54	5	of	of	ADP
fbem-25626	54	6	the	the	DET
fbem-25626	54	7	difference	difference	NOUN
fbem-25626	54	8	(	(	PUNCT
fbem-25626	54	9	i	i	NOUN
fbem-25626	54	10	)	)	PUNCT
fbem-25626	54	11	,	,	PUNCT
fbem-25626	54	12	which	which	PRON
fbem-25626	54	13	refers	refer	VERB
fbem-25626	54	14	to	to	ADP
fbem-25626	54	15	the	the	DET
fbem-25626	54	16	number	number	NOUN
fbem-25626	54	17	of	of	ADP
fbem-25626	54	18	differences	difference	NOUN
fbem-25626	54	19	that	that	PRON
fbem-25626	54	20	are	be	AUX
fbem-25626	54	21	applied	apply	VERB
fbem-25626	54	22	to	to	ADP
fbem-25626	54	23	the	the	DET
fbem-25626	54	24	original	original	ADJ
fbem-25626	54	25	data	datum	NOUN
fbem-25626	54	26	to	to	PART
fbem-25626	54	27	smoothen	smoothen	VERB
fbem-25626	54	28	it	it	PRON
fbem-25626	54	29	out	out	ADP
fbem-25626	54	30	.	.	PUNCT
fbem-25626	55	1	q	q	PUNCT
fbem-25626	55	2	represents	represent	VERB
fbem-25626	55	3	the	the	DET
fbem-25626	55	4	order	order	NOUN
fbem-25626	55	5	of	of	ADP
fbem-25626	55	6	the	the	DET
fbem-25626	55	7	moving	move	VERB
fbem-25626	55	8	average	average	ADJ
fbem-25626	55	9	term	term	NOUN
fbem-25626	55	10	(	(	PUNCT
fbem-25626	55	11	ma	ma	PROPN
fbem-25626	55	12	)	)	PUNCT
fbem-25626	55	13	,	,	PUNCT
fbem-25626	55	14	which	which	PRON
fbem-25626	55	15	denotes	denote	VERB
fbem-25626	55	16	the	the	DET
fbem-25626	55	17	number	number	NOUN
fbem-25626	55	18	of	of	ADP
fbem-25626	55	19	lags	lag	NOUN
fbem-25626	55	20	that	that	PRON
fbem-25626	55	21	are	be	AUX
fbem-25626	55	22	accounted	account	VERB
fbem-25626	55	23	for	for	ADP
fbem-25626	55	24	in	in	ADP
fbem-25626	55	25	the	the	DET
fbem-25626	55	26	model	model	NOUN
fbem-25626	55	27	.	.	PUNCT
fbem-25626	56	1	of	of	ADP
fbem-25626	56	2	the	the	DET
fbem-25626	56	3	mean	mean	NOUN
fbem-25626	56	4	of	of	ADP
fbem-25626	56	5	the	the	DET
fbem-25626	56	6	prediction	prediction	NOUN
fbem-25626	56	7	errors	error	NOUN
fbem-25626	56	8	.	.	PUNCT
fbem-25626	57	1	the	the	DET
fbem-25626	57	2	modeling	modeling	NOUN
fbem-25626	57	3	steps	step	NOUN
fbem-25626	57	4	for	for	ADP
fbem-25626	57	5	the	the	DET
fbem-25626	57	6	arima	arima	PROPN
fbem-25626	57	7	model	model	NOUN
fbem-25626	57	8	are	be	AUX
fbem-25626	57	9	as	as	SCONJ
fbem-25626	57	10	follows	follow	VERB
fbem-25626	57	11	:	:	PUNCT
fbem-25626	57	12	determining	determine	VERB
fbem-25626	57	13	the	the	DET
fbem-25626	57	14	model	model	NOUN
fbem-25626	57	15	order	order	NOUN
fbem-25626	57	16	:	:	PUNCT
fbem-25626	57	17	the	the	DET
fbem-25626	57	18	order	order	NOUN
fbem-25626	57	19	parameters	parameter	VERB
fbem-25626	57	20	p	p	X
fbem-25626	57	21	,	,	PUNCT
fbem-25626	57	22	d	d	NOUN
fbem-25626	57	23	,	,	PUNCT
fbem-25626	57	24	and	and	CCONJ
fbem-25626	57	25	q	q	PROPN
fbem-25626	57	26	of	of	ADP
fbem-25626	57	27	the	the	DET
fbem-25626	57	28	arima	arima	PROPN
fbem-25626	57	29	model	model	NOUN
fbem-25626	57	30	are	be	AUX
fbem-25626	57	31	determined	determine	VERB
fbem-25626	57	32	by	by	ADP
fbem-25626	57	33	looking	look	VERB
fbem-25626	57	34	at	at	ADP
fbem-25626	57	35	the	the	DET
fbem-25626	57	36	time	time	NOUN
fbem-25626	57	37	series	series	PROPN
fbem-25626	57	38	plot	plot	PROPN
fbem-25626	57	39	,	,	PUNCT
fbem-25626	57	40	autocorrelation	autocorrelation	NOUN
fbem-25626	57	41	function	function	NOUN
fbem-25626	57	42	(	(	PUNCT
fbem-25626	57	43	acf	acf	PROPN
fbem-25626	57	44	)	)	PUNCT
fbem-25626	57	45	diagram	diagram	NOUN
fbem-25626	57	46	,	,	PUNCT
fbem-25626	57	47	and	and	CCONJ
fbem-25626	57	48	partial	partial	ADJ
fbem-25626	57	49	autocorrelation	autocorrelation	NOUN
fbem-25626	57	50	function	function	NOUN
fbem-25626	57	51	(	(	PUNCT
fbem-25626	57	52	pacf	pacf	NOUN
fbem-25626	57	53	)	)	PUNCT
fbem-25626	57	54	diagram	diagram	NOUN
fbem-25626	57	55	.	.	PUNCT
fbem-25626	58	1	data	datum	NOUN
fbem-25626	58	2	preprocessing	preprocessing	PROPN
fbem-25626	58	3	:	:	PUNCT
fbem-25626	58	4	the	the	DET
fbem-25626	58	5	necessary	necessary	ADJ
fbem-25626	58	6	processing	processing	NOUN
fbem-25626	58	7	of	of	ADP
fbem-25626	58	8	the	the	DET
fbem-25626	58	9	raw	raw	ADJ
fbem-25626	58	10	time	time	NOUN
fbem-25626	58	11	series	series	PROPN
fbem-25626	58	12	data	data	PROPN
fbem-25626	58	13	,	,	PUNCT
fbem-25626	58	14	such	such	ADJ
fbem-25626	58	15	as	as	ADP
fbem-25626	58	16	removing	remove	VERB
fbem-25626	58	17	trends	trend	NOUN
fbem-25626	58	18	(	(	PUNCT
fbem-25626	58	19	using	use	VERB
fbem-25626	58	20	differencing	differencing	NOUN
fbem-25626	58	21	until	until	SCONJ
fbem-25626	58	22	the	the	DET
fbem-25626	58	23	series	series	NOUN
fbem-25626	58	24	is	be	AUX
fbem-25626	58	25	smooth	smooth	ADJ
fbem-25626	58	26	)	)	PUNCT
fbem-25626	58	27	,	,	PUNCT
fbem-25626	58	28	removing	remove	VERB
fbem-25626	58	29	seasonal	seasonal	ADJ
fbem-25626	58	30	effects	effect	NOUN
fbem-25626	58	31	,	,	PUNCT
fbem-25626	58	32	and	and	CCONJ
fbem-25626	58	33	so	so	ADV
fbem-25626	58	34	on	on	ADV
fbem-25626	58	35	.	.	PUNCT
fbem-25626	59	1	fitting	fit	VERB
fbem-25626	59	2	the	the	DET
fbem-25626	59	3	model	model	NOUN
fbem-25626	59	4	:	:	PUNCT
fbem-25626	59	5	an	an	DET
fbem-25626	59	6	arima	arima	NOUN
fbem-25626	59	7	model	model	NOUN
fbem-25626	59	8	is	be	AUX
fbem-25626	59	9	applied	apply	VERB
fbem-25626	59	10	to	to	ADP
fbem-25626	59	11	processed	process	VERB
fbem-25626	59	12	time	time	NOUN
fbem-25626	59	13	series	series	NOUN
fbem-25626	59	14	data	datum	NOUN
fbem-25626	59	15	using	use	VERB
fbem-25626	59	16	a	a	DET
fbem-25626	59	17	fit	fit	ADJ
fbem-25626	59	18	function	function	NOUN
fbem-25626	59	19	.	.	PUNCT
fbem-25626	60	1	the	the	DET
fbem-25626	60	2	parameters	parameter	NOUN
fbem-25626	60	3	of	of	ADP
fbem-25626	60	4	the	the	DET
fbem-25626	60	5	model	model	NOUN
fbem-25626	60	6	can	can	AUX
fbem-25626	60	7	be	be	AUX
fbem-25626	60	8	determined	determine	VERB
fbem-25626	60	9	through	through	ADP
fbem-25626	60	10	maximum	maximum	ADJ
fbem-25626	60	11	likelihood	likelihood	NOUN
fbem-25626	60	12	estimation	estimation	NOUN
fbem-25626	60	13	or	or	CCONJ
fbem-25626	60	14	alternative	alternative	ADJ
fbem-25626	60	15	techniques	technique	NOUN
fbem-25626	60	16	.	.	PUNCT
fbem-25626	61	1	model	model	NOUN
fbem-25626	61	2	checking	checking	NOUN
fbem-25626	61	3	:	:	PUNCT
fbem-25626	61	4	ensuring	ensure	VERB
fbem-25626	61	5	that	that	SCONJ
fbem-25626	61	6	the	the	DET
fbem-25626	61	7	model	model	NOUN
fbem-25626	61	8	has	have	AUX
fbem-25626	61	9	not	not	PART
fbem-25626	61	10	been	be	AUX
fbem-25626	61	11	left	leave	VERB
fbem-25626	61	12	out	out	ADP
fbem-25626	61	13	of	of	ADP
fbem-25626	61	14	the	the	DET
fbem-25626	61	15	modeling	modeling	NOUN
fbem-25626	61	16	of	of	ADP
fbem-25626	61	17	sequential	sequential	ADJ
fbem-25626	61	18	patterns	pattern	NOUN
fbem-25626	61	19	by	by	ADP
fbem-25626	61	20	analyzing	analyze	VERB
fbem-25626	61	21	the	the	DET
fbem-25626	61	22	acf	acf	PROPN
fbem-25626	61	23	diagram	diagram	PROPN
fbem-25626	61	24	and	and	CCONJ
fbem-25626	61	25	pacf	pacf	PROPN
fbem-25626	61	26	diagram	diagram	NOUN
fbem-25626	61	27	of	of	ADP
fbem-25626	61	28	the	the	DET
fbem-25626	61	29	model	model	NOUN
fbem-25626	61	30	residuals	residual	NOUN
fbem-25626	61	31	and	and	CCONJ
fbem-25626	61	32	q	q	NOUN
fbem-25626	61	33	-	-	PUNCT
fbem-25626	61	34	tests	test	NOUN
fbem-25626	61	35	,	,	PUNCT
fbem-25626	61	36	among	among	ADP
fbem-25626	61	37	other	other	ADJ
fbem-25626	61	38	methods	method	NOUN
fbem-25626	61	39	.	.	PUNCT
fbem-25626	62	1	model	model	NOUN
fbem-25626	62	2	diagnosis	diagnosis	NOUN
fbem-25626	62	3	and	and	CCONJ
fbem-25626	62	4	improvement	improvement	NOUN
fbem-25626	62	5	:	:	PUNCT
fbem-25626	62	6	if	if	SCONJ
fbem-25626	62	7	the	the	DET
fbem-25626	62	8	model	model	NOUN
fbem-25626	62	9	residuals	residual	NOUN
fbem-25626	62	10	show	show	VERB
fbem-25626	62	11	unreasonable	unreasonable	ADJ
fbem-25626	62	12	autocorrelation	autocorrelation	NOUN
fbem-25626	62	13	or	or	CCONJ
fbem-25626	62	14	other	other	ADJ
fbem-25626	62	15	problems	problem	NOUN
fbem-25626	62	16	,	,	PUNCT
fbem-25626	62	17	model	model	NOUN
fbem-25626	62	18	improvement	improvement	NOUN
fbem-25626	62	19	is	be	AUX
fbem-25626	62	20	needed	need	VERB
fbem-25626	62	21	to	to	PART
fbem-25626	62	22	adjust	adjust	VERB
fbem-25626	62	23	the	the	DET
fbem-25626	62	24	order	order	NOUN
fbem-25626	62	25	,	,	PUNCT
fbem-25626	62	26	refit	refit	VERB
fbem-25626	62	27	the	the	DET
fbem-25626	62	28	model	model	NOUN
fbem-25626	62	29	,	,	PUNCT
fbem-25626	62	30	and	and	CCONJ
fbem-25626	62	31	perform	perform	VERB
fbem-25626	62	32	further	further	ADJ
fbem-25626	62	33	diagnostics	diagnostic	NOUN
fbem-25626	62	34	.	.	PUNCT
fbem-25626	63	1	forecasting	forecasting	NOUN
fbem-25626	63	2	:	:	PUNCT
fbem-25626	63	3	the	the	DET
fbem-25626	63	4	fitted	fit	VERB
fbem-25626	63	5	arima	arima	NOUN
fbem-25626	63	6	model	model	NOUN
fbem-25626	63	7	is	be	AUX
fbem-25626	63	8	used	use	VERB
fbem-25626	63	9	to	to	PART
fbem-25626	63	10	make	make	VERB
fbem-25626	63	11	forecasts	forecast	NOUN
fbem-25626	63	12	at	at	ADP
fbem-25626	63	13	future	future	ADJ
fbem-25626	63	14	points	point	NOUN
fbem-25626	63	15	in	in	ADP
fbem-25626	63	16	time	time	NOUN
fbem-25626	63	17	,	,	PUNCT
fbem-25626	63	18	and	and	CCONJ
fbem-25626	63	19	the	the	DET
fbem-25626	63	20	optimal	optimal	ADJ
fbem-25626	63	21	forecast	forecast	NOUN
fbem-25626	63	22	interval	interval	NOUN
fbem-25626	63	23	can	can	AUX
fbem-25626	63	24	be	be	AUX
fbem-25626	63	25	selected	select	VERB
fbem-25626	63	26	.	.	PUNCT
fbem-25626	64	1	the	the	DET
fbem-25626	64	2	mathematical	mathematical	ADJ
fbem-25626	64	3	expression	expression	NOUN
fbem-25626	64	4	of	of	ADP
fbem-25626	64	5	the	the	DET
fbem-25626	64	6	model	model	NOUN
fbem-25626	64	7	is	be	AUX
fbem-25626	64	8	as	as	SCONJ
fbem-25626	64	9	follows	follow	VERB
fbem-25626	64	10	:	:	PUNCT
fbem-25626	65	1	𝑌𝑡	𝑌𝑡	PROPN
fbem-25626	65	2	=	=	PUNCT
fbem-25626	65	3	𝑐	𝑐	PROPN
fbem-25626	65	4	+	+	NUM
fbem-25626	65	5	φ1	φ1	PROPN
fbem-25626	66	1	𝑌𝑡−1	𝑌𝑡−1	PROPN
fbem-25626	67	1	+	+	CCONJ
fbem-25626	67	2	φ2𝑌𝑡−2	φ2𝑌𝑡−2	PROPN
fbem-25626	67	3	+	+	CCONJ
fbem-25626	67	4	⋯	⋯	PROPN
fbem-25626	67	5	+	+	CCONJ
fbem-25626	67	6	φ𝑝𝑌𝑡−𝑝	φ𝑝𝑌𝑡−𝑝	PROPN
fbem-25626	67	7	−	−	PROPN
fbem-25626	67	8	θ1ϵ𝑡−1	θ1ϵ𝑡−1	NUM
fbem-25626	67	9	−	−	NOUN
fbem-25626	67	10	θ2ϵ𝑡−2	θ2ϵ𝑡−2	NUM
fbem-25626	67	11	−	−	PROPN
fbem-25626	67	12	⋯	⋯	PROPN
fbem-25626	67	13	θ𝑞	θ𝑞	ADP
fbem-25626	67	14	ϵ𝑡−𝑞	ϵ𝑡−𝑞	PROPN
fbem-25626	67	15	+	+	CCONJ
fbem-25626	67	16	ϵ𝑡	ϵ𝑡	NUM
fbem-25626	67	17	where	where	SCONJ
fbem-25626	67	18	,	,	PUNCT
fbem-25626	67	19	𝑌𝑡	𝑌𝑡	PROPN
fbem-25626	67	20	is	be	AUX
fbem-25626	67	21	the	the	DET
fbem-25626	67	22	observed	observe	VERB
fbem-25626	67	23	value	value	NOUN
fbem-25626	67	24	of	of	ADP
fbem-25626	67	25	the	the	DET
fbem-25626	67	26	time	time	NOUN
fbem-25626	67	27	series	series	NOUN
fbem-25626	67	28	at	at	ADP
fbem-25626	67	29	moment	moment	NOUN
fbem-25626	67	30	𝑡	𝑡	PROPN
fbem-25626	67	31	;	;	PUNCT
fbem-25626	67	32	𝑐	𝑐	NOUN
fbem-25626	67	33	is	be	AUX
fbem-25626	67	34	the	the	DET
fbem-25626	67	35	constant	constant	ADJ
fbem-25626	67	36	term	term	NOUN
fbem-25626	67	37	;	;	PUNCT
fbem-25626	67	38	𝜑	𝜑	PROPN
fbem-25626	67	39	is	be	AUX
fbem-25626	67	40	the	the	DET
fbem-25626	67	41	autoregressive	autoregressive	ADJ
fbem-25626	67	42	coefficient	coefficient	NOUN
fbem-25626	67	43	;	;	PUNCT
fbem-25626	67	44	𝜀	𝜀	PRON
fbem-25626	67	45	is	be	AUX
fbem-25626	67	46	the	the	DET
fbem-25626	67	47	error	error	NOUN
fbem-25626	67	48	term	term	NOUN
fbem-25626	67	49	(	(	PUNCT
fbem-25626	67	50	gaussian	gaussian	ADJ
fbem-25626	67	51	white	white	ADJ
fbem-25626	67	52	noise	noise	PROPN
fbem-25626	67	53	)	)	PUNCT
fbem-25626	67	54	;	;	PUNCT
fbem-25626	67	55	𝜃	𝜃	X
fbem-25626	67	56	is	be	AUX
fbem-25626	67	57	the	the	DET
fbem-25626	67	58	moving	move	VERB
fbem-25626	67	59	average	average	ADJ
fbem-25626	67	60	coefficient	coefficient	NOUN
fbem-25626	67	61	.	.	PUNCT
fbem-25626	68	1	the	the	DET
fbem-25626	68	2	specific	specific	ADJ
fbem-25626	68	3	form	form	NOUN
fbem-25626	68	4	of	of	ADP
fbem-25626	68	5	these	these	DET
fbem-25626	68	6	equations	equation	NOUN
fbem-25626	68	7	will	will	AUX
fbem-25626	68	8	be	be	AUX
fbem-25626	68	9	adjusted	adjust	VERB
fbem-25626	68	10	according	accord	VERB
fbem-25626	68	11	to	to	ADP
fbem-25626	68	12	the	the	DET
fbem-25626	68	13	order	order	NOUN
fbem-25626	68	14	of	of	ADP
fbem-25626	68	15	the	the	DET
fbem-25626	68	16	particular	particular	ADJ
fbem-25626	68	17	arima	arima	PROPN
fbem-25626	68	18	model	model	NOUN
fbem-25626	68	19	.	.	PUNCT
fbem-25626	69	1	the	the	DET
fbem-25626	69	2	application	application	NOUN
fbem-25626	69	3	of	of	ADP
fbem-25626	69	4	the	the	DET
fbem-25626	69	5	arima	arima	PROPN
fbem-25626	69	6	model	model	NOUN
fbem-25626	69	7	needs	need	VERB
fbem-25626	69	8	to	to	PART
fbem-25626	69	9	be	be	AUX
fbem-25626	69	10	specifically	specifically	ADV
fbem-25626	69	11	analyzed	analyze	VERB
fbem-25626	69	12	and	and	CCONJ
fbem-25626	69	13	adjusted	adjust	VERB
fbem-25626	69	14	grounded	ground	VERB
fbem-25626	69	15	on	on	ADP
fbem-25626	69	16	the	the	DET
fbem-25626	69	17	corresponding	corresponding	ADJ
fbem-25626	69	18	time	time	NOUN
fbem-25626	69	19	series	series	PROPN
fbem-25626	69	20	data	datum	NOUN
fbem-25626	69	21	to	to	PART
fbem-25626	69	22	ensure	ensure	VERB
fbem-25626	69	23	correctness	correctness	NOUN
fbem-25626	69	24	and	and	CCONJ
fbem-25626	69	25	reliability	reliability	NOUN
fbem-25626	69	26	.	.	PUNCT
fbem-25626	70	1	in	in	ADP
fbem-25626	70	2	addition	addition	NOUN
fbem-25626	70	3	,	,	PUNCT
fbem-25626	70	4	there	there	PRON
fbem-25626	70	5	are	be	VERB
fbem-25626	70	6	various	various	ADJ
fbem-25626	70	7	improved	improve	VERB
fbem-25626	70	8	and	and	CCONJ
fbem-25626	70	9	extended	extended	ADJ
fbem-25626	70	10	forms	form	NOUN
fbem-25626	70	11	of	of	ADP
fbem-25626	70	12	arima	arima	NOUN
fbem-25626	70	13	models	model	NOUN
fbem-25626	70	14	,	,	PUNCT
fbem-25626	70	15	such	such	ADJ
fbem-25626	70	16	as	as	ADP
fbem-25626	70	17	the	the	DET
fbem-25626	70	18	seasonal	seasonal	ADJ
fbem-25626	70	19	arima	arima	NOUN
fbem-25626	70	20	(	(	PUNCT
fbem-25626	70	21	sarima	sarima	NOUN
fbem-25626	70	22	)	)	PUNCT
fbem-25626	70	23	model	model	NOUN
fbem-25626	70	24	,	,	PUNCT
fbem-25626	70	25	which	which	PRON
fbem-25626	70	26	can	can	AUX
fbem-25626	70	27	better	well	ADV
fbem-25626	70	28	handle	handle	VERB
fbem-25626	70	29	time	time	NOUN
fbem-25626	70	30	series	series	PROPN
fbem-25626	70	31	data	datum	NOUN
fbem-25626	70	32	with	with	ADP
fbem-25626	70	33	specific	specific	ADJ
fbem-25626	70	34	properties	property	NOUN
fbem-25626	70	35	.	.	PUNCT
fbem-25626	71	1	2.2	2.2	NUM
fbem-25626	71	2	.	.	PUNCT
fbem-25626	71	3	introduction	introduction	NOUN
fbem-25626	71	4	to	to	ADP
fbem-25626	71	5	the	the	DET
fbem-25626	71	6	lstm	lstm	PROPN
fbem-25626	71	7	model	model	NOUN
fbem-25626	71	8	the	the	DET
fbem-25626	71	9	lstm	lstm	PROPN
fbem-25626	71	10	model	model	NOUN
fbem-25626	71	11	has	have	VERB
fbem-25626	71	12	a	a	DET
fbem-25626	71	13	memory	memory	NOUN
fbem-25626	71	14	function	function	NOUN
fbem-25626	71	15	to	to	PART
fbem-25626	71	16	better	well	ADV
fbem-25626	71	17	handle	handle	VERB
fbem-25626	71	18	long	long	ADJ
fbem-25626	71	19	sequence	sequence	NOUN
fbem-25626	71	20	problems	problem	NOUN
fbem-25626	71	21	(	(	PUNCT
fbem-25626	71	22	rui	rui	PROPN
fbem-25626	71	23	zhang	zhang	PROPN
fbem-25626	71	24	et	et	PROPN
fbem-25626	71	25	al	al	PROPN
fbem-25626	71	26	.	.	PROPN
fbem-25626	71	27	,	,	PUNCT
fbem-25626	71	28	2022	2022	NUM
fbem-25626	71	29	)	)	PUNCT
fbem-25626	71	30	.	.	PUNCT
fbem-25626	72	1	in	in	ADP
fbem-25626	72	2	lstm	lstm	PROPN
fbem-25626	72	3	,	,	PUNCT
fbem-25626	72	4	the	the	DET
fbem-25626	72	5	flow	flow	NOUN
fbem-25626	72	6	of	of	ADP
fbem-25626	72	7	information	information	NOUN
fbem-25626	72	8	is	be	AUX
fbem-25626	72	9	controlled	control	VERB
fbem-25626	72	10	by	by	ADP
fbem-25626	72	11	introducing	introduce	VERB
fbem-25626	72	12	gating	gate	VERB
fbem-25626	72	13	mechanisms	mechanism	NOUN
fbem-25626	72	14	,	,	PUNCT
fbem-25626	72	15	including	include	VERB
fbem-25626	72	16	input	input	NOUN
fbem-25626	72	17	gates	gate	NOUN
fbem-25626	72	18	,	,	PUNCT
fbem-25626	72	19	output	output	NOUN
fbem-25626	72	20	gates	gate	NOUN
fbem-25626	72	21	,	,	PUNCT
fbem-25626	72	22	and	and	CCONJ
fbem-25626	72	23	forgetting	forget	VERB
fbem-25626	72	24	gates	gate	NOUN
fbem-25626	72	25	,	,	PUNCT
fbem-25626	72	26	to	to	PART
fbem-25626	72	27	control	control	VERB
fbem-25626	72	28	which	which	DET
fbem-25626	72	29	information	information	NOUN
fbem-25626	72	30	needs	need	VERB
fbem-25626	72	31	to	to	PART
fbem-25626	72	32	be	be	AUX
fbem-25626	72	33	passed	pass	VERB
fbem-25626	72	34	and	and	CCONJ
fbem-25626	72	35	which	which	PRON
fbem-25626	72	36	needs	need	VERB
fbem-25626	72	37	to	to	PART
fbem-25626	72	38	be	be	AUX
fbem-25626	72	39	forgotten	forget	VERB
fbem-25626	72	40	.	.	PUNCT
fbem-25626	73	1	these	these	DET
fbem-25626	73	2	gating	gate	VERB
fbem-25626	73	3	mechanisms	mechanism	NOUN
fbem-25626	73	4	can	can	AUX
fbem-25626	73	5	help	help	VERB
fbem-25626	73	6	lstm	lstm	NOUN
fbem-25626	73	7	models	model	NOUN
fbem-25626	73	8	filter	filter	VERB
fbem-25626	73	9	and	and	CCONJ
fbem-25626	73	10	store	store	VERB
fbem-25626	73	11	important	important	ADJ
fbem-25626	73	12	information	information	NOUN
fbem-25626	73	13	in	in	ADP
fbem-25626	73	14	the	the	DET
fbem-25626	73	15	sequence	sequence	NOUN
fbem-25626	73	16	and	and	CCONJ
fbem-25626	73	17	resist	resist	VERB
fbem-25626	73	18	the	the	DET
fbem-25626	73	19	problem	problem	NOUN
fbem-25626	73	20	of	of	ADP
fbem-25626	73	21	gradient	gradient	ADJ
fbem-25626	73	22	vanishing	vanishing	NOUN
fbem-25626	73	23	.	.	PUNCT
fbem-25626	74	1	therefore	therefore	ADV
fbem-25626	74	2	,	,	PUNCT
fbem-25626	74	3	lstm	lstm	NOUN
fbem-25626	74	4	is	be	AUX
fbem-25626	74	5	widely	widely	ADV
fbem-25626	74	6	used	use	VERB
fbem-25626	74	7	in	in	ADP
fbem-25626	74	8	language	language	NOUN
fbem-25626	74	9	modeling	modeling	NOUN
fbem-25626	74	10	,	,	PUNCT
fbem-25626	74	11	natural	natural	ADJ
fbem-25626	74	12	language	language	NOUN
fbem-25626	74	13	processing	processing	NOUN
fbem-25626	74	14	,	,	PUNCT
fbem-25626	74	15	speech	speech	NOUN
fbem-25626	74	16	recognition	recognition	NOUN
fbem-25626	74	17	,	,	PUNCT
fbem-25626	74	18	video	video	NOUN
fbem-25626	74	19	processing	processing	NOUN
fbem-25626	74	20	,	,	PUNCT
fbem-25626	74	21	etc	etc	X
fbem-25626	74	22	.	.	X
fbem-25626	74	23	lstm	lstm	NOUN
fbem-25626	74	24	has	have	VERB
fbem-25626	74	25	a	a	DET
fbem-25626	74	26	wide	wide	ADJ
fbem-25626	74	27	range	range	NOUN
fbem-25626	74	28	of	of	ADP
fbem-25626	74	29	applications	application	NOUN
fbem-25626	74	30	in	in	ADP
fbem-25626	74	31	finance	finance	NOUN
fbem-25626	74	32	,	,	PUNCT
fbem-25626	74	33	including	include	VERB
fbem-25626	74	34	determining	determine	VERB
fbem-25626	74	35	market	market	NOUN
fbem-25626	74	36	sentiment	sentiment	NOUN
fbem-25626	74	37	,	,	PUNCT
fbem-25626	74	38	asset	asset	NOUN
fbem-25626	74	39	management	management	NOUN
fbem-25626	74	40	,	,	PUNCT
fbem-25626	74	41	predicting	predict	VERB
fbem-25626	74	42	non	non	ADJ
fbem-25626	74	43	-	-	ADJ
fbem-25626	74	44	performing	performing	ADJ
fbem-25626	74	45	loans	loan	NOUN
fbem-25626	74	46	and	and	CCONJ
fbem-25626	74	47	fraud	fraud	NOUN
fbem-25626	74	48	,	,	PUNCT
fbem-25626	74	49	and	and	CCONJ
fbem-25626	74	50	financial	financial	ADJ
fbem-25626	74	51	forecasting	forecasting	NOUN
fbem-25626	74	52	.	.	PUNCT
fbem-25626	75	1	lstm	lstm	NOUN
fbem-25626	75	2	can	can	AUX
fbem-25626	75	3	be	be	AUX
fbem-25626	75	4	used	use	VERB
fbem-25626	75	5	for	for	ADP
fbem-25626	75	6	forecasting	forecast	VERB
fbem-25626	75	7	financial	financial	ADJ
fbem-25626	75	8	temporal	temporal	ADJ
fbem-25626	75	9	data	datum	NOUN
fbem-25626	75	10	such	such	ADJ
fbem-25626	75	11	as	as	ADP
fbem-25626	75	12	stock	stock	NOUN
fbem-25626	75	13	prices	price	NOUN
fbem-25626	75	14	and	and	CCONJ
fbem-25626	75	15	exchange	exchange	NOUN
fbem-25626	75	16	rates	rate	NOUN
fbem-25626	75	17	.	.	PUNCT
fbem-25626	76	1	based	base	VERB
fbem-25626	76	2	on	on	ADP
fbem-25626	76	3	historical	historical	ADJ
fbem-25626	76	4	data	datum	NOUN
fbem-25626	76	5	,	,	PUNCT
fbem-25626	76	6	the	the	DET
fbem-25626	76	7	model	model	NOUN
fbem-25626	76	8	can	can	AUX
fbem-25626	76	9	predict	predict	VERB
fbem-25626	76	10	future	future	ADJ
fbem-25626	76	11	trends	trend	NOUN
fbem-25626	76	12	and	and	CCONJ
fbem-25626	76	13	help	help	VERB
fbem-25626	76	14	investors	investor	NOUN
fbem-25626	76	15	make	make	VERB
fbem-25626	76	16	better	well	ADJ
fbem-25626	76	17	investment	investment	NOUN
fbem-25626	76	18	decisions	decision	NOUN
fbem-25626	76	19	.	.	PUNCT
fbem-25626	77	1	266	266	NUM
fbem-25626	77	2	figure	figure	NOUN
fbem-25626	77	3	1	1	NUM
fbem-25626	77	4	.	.	PUNCT
fbem-25626	77	5	lstm	lstm	ADJ
fbem-25626	77	6	cell	cell	NOUN
fbem-25626	77	7	structure	structure	NOUN
fbem-25626	77	8	compared	compare	VERB
fbem-25626	77	9	to	to	ADP
fbem-25626	77	10	the	the	DET
fbem-25626	77	11	traditional	traditional	ADJ
fbem-25626	77	12	rnn	rnn	NOUN
fbem-25626	78	1	,	,	PUNCT
fbem-25626	78	2	the	the	DET
fbem-25626	78	3	lstm	lstm	NOUN
fbem-25626	78	4	model	model	NOUN
fbem-25626	78	5	adds	add	VERB
fbem-25626	78	6	a	a	DET
fbem-25626	78	7	cell	cell	NOUN
fbem-25626	78	8	state	state	NOUN
fbem-25626	78	9	.	.	PUNCT
fbem-25626	79	1	let	let	VERB
fbem-25626	79	2	's	us	PRON
fbem-25626	79	3	take	take	VERB
fbem-25626	79	4	the	the	DET
fbem-25626	79	5	cell	cell	NOUN
fbem-25626	79	6	structure	structure	NOUN
fbem-25626	79	7	at	at	ADP
fbem-25626	79	8	the	the	DET
fbem-25626	79	9	middle	middle	ADJ
fbem-25626	79	10	moment	moment	NOUN
fbem-25626	79	11	t	t	PROPN
fbem-25626	79	12	of	of	ADP
fbem-25626	79	13	lstm	lstm	NOUN
fbem-25626	79	14	as	as	ADP
fbem-25626	79	15	an	an	DET
fbem-25626	79	16	example	example	NOUN
fbem-25626	79	17	.	.	PUNCT
fbem-25626	80	1	in	in	ADP
fbem-25626	80	2	figure	figure	NOUN
fbem-25626	80	3	1	1	NUM
fbem-25626	80	4	,	,	PUNCT
fbem-25626	80	5	the	the	DET
fbem-25626	80	6	𝑋	𝑋	PROPN
fbem-25626	80	7	denotes	denote	VERB
fbem-25626	80	8	the	the	DET
fbem-25626	80	9	input	input	NOUN
fbem-25626	80	10	state	state	NOUN
fbem-25626	80	11	,	,	PUNCT
fbem-25626	80	12	the	the	DET
fbem-25626	80	13	ℎ	ℎ	PROPN
fbem-25626	80	14	denotes	denote	VERB
fbem-25626	80	15	the	the	DET
fbem-25626	80	16	hidden	hide	VERB
fbem-25626	80	17	layer	layer	NOUN
fbem-25626	80	18	,	,	PUNCT
fbem-25626	80	19	and	and	CCONJ
fbem-25626	80	20	𝐶	𝐶	PROPN
fbem-25626	80	21	then	then	ADV
fbem-25626	80	22	denotes	denote	VERB
fbem-25626	80	23	the	the	DET
fbem-25626	80	24	cell	cell	NOUN
fbem-25626	80	25	update	update	NOUN
fbem-25626	80	26	.	.	PUNCT
fbem-25626	81	1	in	in	ADP
fbem-25626	81	2	the	the	DET
fbem-25626	81	3	model	model	NOUN
fbem-25626	81	4	,	,	PUNCT
fbem-25626	81	5	the	the	DET
fbem-25626	81	6	cell	cell	NOUN
fbem-25626	81	7	state	state	NOUN
fbem-25626	81	8	at	at	ADP
fbem-25626	81	9	time	time	NOUN
fbem-25626	81	10	𝑡	𝑡	PROPN
fbem-25626	81	11	−	−	NOUN
fbem-25626	81	12	1	1	NUM
fbem-25626	81	13	will	will	AUX
fbem-25626	81	14	be	be	AUX
fbem-25626	81	15	affected	affect	VERB
fbem-25626	81	16	by	by	ADP
fbem-25626	81	17	the	the	DET
fbem-25626	81	18	hidden	hide	VERB
fbem-25626	81	19	layer	layer	NOUN
fbem-25626	81	20	state	state	NOUN
fbem-25626	81	21	at	at	ADP
fbem-25626	81	22	time	time	NOUN
fbem-25626	81	23	𝑡	𝑡	X
fbem-25626	81	24	−	−	NOUN
fbem-25626	81	25	1	1	NUM
fbem-25626	81	26	and	and	CCONJ
fbem-25626	81	27	the	the	DET
fbem-25626	81	28	input	input	NOUN
fbem-25626	81	29	𝑋	𝑋	NOUN
fbem-25626	81	30	at	at	ADP
fbem-25626	81	31	time	time	NOUN
fbem-25626	81	32	𝑡	𝑡	PROPN
fbem-25626	81	33	,	,	PUNCT
fbem-25626	81	34	and	and	CCONJ
fbem-25626	81	35	the	the	DET
fbem-25626	81	36	resulting	result	VERB
fbem-25626	81	37	output	output	NOUN
fbem-25626	81	38	from	from	ADP
fbem-25626	81	39	the	the	DET
fbem-25626	81	40	cell	cell	NOUN
fbem-25626	81	41	and	and	CCONJ
fbem-25626	81	42	hidden	hidden	ADJ
fbem-25626	81	43	states	state	NOUN
fbem-25626	81	44	.	.	PUNCT
fbem-25626	82	1	there	there	PRON
fbem-25626	82	2	are	be	VERB
fbem-25626	82	3	three	three	NUM
fbem-25626	82	4	main	main	ADJ
fbem-25626	82	5	unit	unit	NOUN
fbem-25626	82	6	structures	structure	NOUN
fbem-25626	82	7	within	within	ADP
fbem-25626	82	8	the	the	DET
fbem-25626	82	9	lstm	lstm	NOUN
fbem-25626	82	10	:	:	PUNCT
fbem-25626	82	11	the	the	DET
fbem-25626	82	12	oblivion	oblivion	NOUN
fbem-25626	82	13	gate	gate	NOUN
fbem-25626	82	14	,	,	PUNCT
fbem-25626	82	15	the	the	DET
fbem-25626	82	16	update	update	NOUN
fbem-25626	82	17	gate	gate	NOUN
fbem-25626	82	18	,	,	PUNCT
fbem-25626	82	19	and	and	CCONJ
fbem-25626	82	20	the	the	DET
fbem-25626	82	21	output	output	NOUN
fbem-25626	82	22	gate	gate	NOUN
fbem-25626	82	23	.	.	PUNCT
fbem-25626	83	1	it	it	PRON
fbem-25626	83	2	is	be	AUX
fbem-25626	83	3	called	call	VERB
fbem-25626	83	4	oblivion	oblivion	NOUN
fbem-25626	83	5	gate	gate	NOUN
fbem-25626	83	6	because	because	SCONJ
fbem-25626	83	7	𝐻𝑡−1	𝐻𝑡−1	PROPN
fbem-25626	83	8	and	and	CCONJ
fbem-25626	83	9	𝑋𝑡	𝑋𝑡	PROPN
fbem-25626	83	10	,	,	PUNCT
fbem-25626	83	11	after	after	ADP
fbem-25626	83	12	the	the	DET
fbem-25626	83	13	state	state	NOUN
fbem-25626	83	14	input	input	NOUN
fbem-25626	83	15	,	,	PUNCT
fbem-25626	83	16	the	the	DET
fbem-25626	83	17	output	output	NOUN
fbem-25626	83	18	activated	activate	VERB
fbem-25626	83	19	by	by	ADP
fbem-25626	83	20	the	the	DET
fbem-25626	83	21	σ	σ	PROPN
fbem-25626	83	22	function	function	NOUN
fbem-25626	83	23	as	as	ADP
fbem-25626	83	24	𝑓𝑡	𝑓𝑡	PROPN
fbem-25626	83	25	.	.	PUNCT
fbem-25626	84	1	if	if	SCONJ
fbem-25626	84	2	the	the	DET
fbem-25626	84	3	output	output	NOUN
fbem-25626	84	4	value	value	NOUN
fbem-25626	84	5	is	be	AUX
fbem-25626	84	6	0	0	NUM
fbem-25626	84	7	,	,	PUNCT
fbem-25626	84	8	the	the	DET
fbem-25626	84	9	𝐶𝑡−1	𝐶𝑡−1	PROPN
fbem-25626	84	10	,	,	PUNCT
fbem-25626	84	11	corresponding	correspond	VERB
fbem-25626	84	12	information	information	NOUN
fbem-25626	84	13	is	be	AUX
fbem-25626	84	14	erased	erase	VERB
fbem-25626	84	15	,	,	PUNCT
fbem-25626	84	16	which	which	PRON
fbem-25626	84	17	is	be	AUX
fbem-25626	84	18	equivalent	equivalent	ADJ
fbem-25626	84	19	to	to	PART
fbem-25626	84	20	complete	complete	VERB
fbem-25626	84	21	forgetting	forgetting	NOUN
fbem-25626	84	22	.	.	PUNCT
fbem-25626	85	1	if	if	SCONJ
fbem-25626	85	2	the	the	DET
fbem-25626	85	3	output	output	NOUN
fbem-25626	85	4	value	value	NOUN
fbem-25626	85	5	is	be	AUX
fbem-25626	85	6	(	(	PUNCT
fbem-25626	85	7	0	0	NUM
fbem-25626	85	8	,	,	PUNCT
fbem-25626	85	9	1	1	NUM
fbem-25626	85	10	)	)	PUNCT
fbem-25626	85	11	,	,	PUNCT
fbem-25626	85	12	it	it	PRON
fbem-25626	85	13	is	be	AUX
fbem-25626	85	14	equivalent	equivalent	ADJ
fbem-25626	85	15	to	to	ADP
fbem-25626	85	16	partial	partial	ADJ
fbem-25626	85	17	retention	retention	NOUN
fbem-25626	85	18	,	,	PUNCT
fbem-25626	85	19	and	and	CCONJ
fbem-25626	85	20	only	only	ADV
fbem-25626	85	21	when	when	SCONJ
fbem-25626	85	22	the	the	DET
fbem-25626	85	23	output	output	NOUN
fbem-25626	85	24	value	value	NOUN
fbem-25626	85	25	is	be	AUX
fbem-25626	85	26	1	1	NUM
fbem-25626	85	27	,	,	PUNCT
fbem-25626	85	28	the	the	DET
fbem-25626	85	29	corresponding	corresponding	ADJ
fbem-25626	85	30	information	information	NOUN
fbem-25626	85	31	is	be	AUX
fbem-25626	85	32	completely	completely	ADV
fbem-25626	85	33	retained	retain	VERB
fbem-25626	85	34	.	.	PUNCT
fbem-25626	86	1	therefore	therefore	ADV
fbem-25626	86	2	,	,	PUNCT
fbem-25626	86	3	this	this	DET
fbem-25626	86	4	structure	structure	NOUN
fbem-25626	86	5	is	be	AUX
fbem-25626	86	6	called	call	VERB
fbem-25626	86	7	the	the	DET
fbem-25626	86	8	forgetting	forget	VERB
fbem-25626	86	9	gate	gate	NOUN
fbem-25626	86	10	structure	structure	NOUN
fbem-25626	86	11	.	.	PUNCT
fbem-25626	87	1	the	the	DET
fbem-25626	87	2	output	output	NOUN
fbem-25626	87	3	value	value	NOUN
fbem-25626	87	4	𝑖𝑡	𝑖𝑡	NOUN
fbem-25626	87	5	activated	activate	VERB
fbem-25626	87	6	by	by	ADP
fbem-25626	87	7	the	the	DET
fbem-25626	87	8	σ	σ	PROPN
fbem-25626	87	9	function	function	NOUN
fbem-25626	87	10	is	be	AUX
fbem-25626	87	11	multiplied	multiply	VERB
fbem-25626	87	12	by	by	ADP
fbem-25626	87	13	the	the	DET
fbem-25626	87	14	output	output	NOUN
fbem-25626	87	15	value	value	NOUN
fbem-25626	87	16	𝐶	𝐶	PROPN
fbem-25626	87	17	�	�	PROPN
fbem-25626	87	18	̃	̃	PROPN
fbem-25626	87	19	�	�	PROPN
fbem-25626	87	20	normalized	normalize	VERB
fbem-25626	87	21	by	by	ADP
fbem-25626	87	22	the𝑡𝑎𝑛ℎ	the𝑡𝑎𝑛ℎ	NOUN
fbem-25626	87	23	function	function	NOUN
fbem-25626	87	24	,	,	PUNCT
fbem-25626	87	25	the	the	DET
fbem-25626	87	26	output	output	NOUN
fbem-25626	87	27	information	information	NOUN
fbem-25626	87	28	is	be	AUX
fbem-25626	87	29	added	add	VERB
fbem-25626	87	30	with	with	ADP
fbem-25626	87	31	the	the	DET
fbem-25626	87	32	information	information	NOUN
fbem-25626	87	33	obtained	obtain	VERB
fbem-25626	87	34	from	from	ADP
fbem-25626	87	35	the	the	DET
fbem-25626	87	36	previous	previous	ADJ
fbem-25626	87	37	forgetting	forgetting	NOUN
fbem-25626	87	38	gate	gate	NOUN
fbem-25626	87	39	,	,	PUNCT
fbem-25626	87	40	and	and	CCONJ
fbem-25626	87	41	this	this	DET
fbem-25626	87	42	process	process	NOUN
fbem-25626	87	43	can	can	AUX
fbem-25626	87	44	be	be	AUX
fbem-25626	87	45	regarded	regard	VERB
fbem-25626	87	46	as	as	ADP
fbem-25626	87	47	an	an	DET
fbem-25626	87	48	update	update	NOUN
fbem-25626	87	49	process	process	NOUN
fbem-25626	87	50	of	of	ADP
fbem-25626	87	51	the	the	DET
fbem-25626	87	52	𝐶	𝐶	PROPN
fbem-25626	87	53	this	this	DET
fbem-25626	87	54	process	process	NOUN
fbem-25626	87	55	can	can	AUX
fbem-25626	87	56	be	be	AUX
fbem-25626	87	57	regarded	regard	VERB
fbem-25626	87	58	as	as	ADP
fbem-25626	87	59	an	an	DET
fbem-25626	87	60	update	update	NOUN
fbem-25626	87	61	process	process	NOUN
fbem-25626	87	62	of	of	ADP
fbem-25626	87	63	the	the	DET
fbem-25626	87	64	therefore	therefore	ADV
fbem-25626	87	65	it	it	PRON
fbem-25626	87	66	is	be	AUX
fbem-25626	87	67	called	call	VERB
fbem-25626	87	68	an	an	DET
fbem-25626	87	69	update	update	NOUN
fbem-25626	87	70	gate	gate	NOUN
fbem-25626	87	71	.	.	PUNCT
fbem-25626	88	1	𝐶𝑡	𝐶𝑡	PROPN
fbem-25626	88	2	is	be	AUX
fbem-25626	88	3	normalized	normalize	VERB
fbem-25626	88	4	by	by	ADP
fbem-25626	88	5	the	the	DET
fbem-25626	88	6	𝑡𝑎𝑛ℎ	𝑡𝑎𝑛ℎ	NOUN
fbem-25626	88	7	function	function	NOUN
fbem-25626	88	8	and	and	CCONJ
fbem-25626	88	9	multiplied	multiply	VERB
fbem-25626	88	10	with	with	ADP
fbem-25626	88	11	the	the	DET
fbem-25626	88	12	output	output	NOUN
fbem-25626	88	13	value	value	NOUN
fbem-25626	89	1	𝑂𝑡	𝑂𝑡	PROPN
fbem-25626	89	2	to	to	PART
fbem-25626	89	3	acquire	acquire	VERB
fbem-25626	89	4	the	the	DET
fbem-25626	89	5	output	output	NOUN
fbem-25626	89	6	value	value	NOUN
fbem-25626	89	7	of	of	ADP
fbem-25626	89	8	the	the	DET
fbem-25626	89	9	next	next	ADJ
fbem-25626	89	10	stage	stage	NOUN
fbem-25626	89	11	.	.	PUNCT
fbem-25626	90	1	2.3	2.3	NUM
fbem-25626	90	2	.	.	PUNCT
fbem-25626	91	1	arima	arima	NOUN
fbem-25626	91	2	-	-	PUNCT
fbem-25626	91	3	lstm	lstm	PROPN
fbem-25626	91	4	model	model	NOUN
fbem-25626	91	5	for	for	ADP
fbem-25626	91	6	data	datum	NOUN
fbem-25626	91	7	in	in	ADP
fbem-25626	91	8	the	the	DET
fbem-25626	91	9	form	form	NOUN
fbem-25626	91	10	of	of	ADP
fbem-25626	91	11	time	time	NOUN
fbem-25626	91	12	series	series	NOUN
fbem-25626	92	1	,	,	PUNCT
fbem-25626	92	2	we	we	PRON
fbem-25626	92	3	assume	assume	VERB
fbem-25626	92	4	that	that	SCONJ
fbem-25626	92	5	it	it	PRON
fbem-25626	92	6	consists	consist	VERB
fbem-25626	92	7	of	of	ADP
fbem-25626	92	8	a	a	DET
fbem-25626	92	9	linear	linear	ADJ
fbem-25626	92	10	part	part	NOUN
fbem-25626	92	11	and	and	CCONJ
fbem-25626	92	12	a	a	DET
fbem-25626	92	13	nonlinear	nonlinear	ADJ
fbem-25626	92	14	part	part	NOUN
fbem-25626	92	15	,	,	PUNCT
fbem-25626	92	16	which	which	PRON
fbem-25626	92	17	can	can	AUX
fbem-25626	92	18	be	be	AUX
fbem-25626	92	19	formulated	formulate	VERB
fbem-25626	92	20	as	as	ADP
fbem-25626	92	21	the	the	DET
fbem-25626	92	22	following	follow	VERB
fbem-25626	92	23	expression	expression	NOUN
fbem-25626	92	24	:	:	PUNCT
fbem-25626	93	1	𝑋𝑡	𝑋𝑡	NOUN
fbem-25626	93	2	=	=	PUNCT
fbem-25626	94	1	𝐿𝑡	𝐿𝑡	PROPN
fbem-25626	94	2	+	+	CCONJ
fbem-25626	94	3	𝑁𝑡	𝑁𝑡	PROPN
fbem-25626	94	4	+	+	PUNCT
fbem-25626	94	5	𝜉𝑡	𝜉𝑡	NOUN
fbem-25626	94	6	where	where	SCONJ
fbem-25626	94	7	𝐿𝑡	𝐿𝑡	PROPN
fbem-25626	94	8	is	be	AUX
fbem-25626	94	9	the	the	DET
fbem-25626	94	10	linear	linear	ADJ
fbem-25626	94	11	part	part	NOUN
fbem-25626	94	12	,	,	PUNCT
fbem-25626	94	13	𝑁𝑡	𝑁𝑡	PROPN
fbem-25626	94	14	is	be	AUX
fbem-25626	94	15	the	the	DET
fbem-25626	94	16	nonlinear	nonlinear	ADJ
fbem-25626	94	17	part	part	NOUN
fbem-25626	94	18	,	,	PUNCT
fbem-25626	94	19	and	and	CCONJ
fbem-25626	94	20	𝜉𝑡	𝜉𝑡	PROPN
fbem-25626	94	21	represents	represent	VERB
fbem-25626	94	22	the	the	DET
fbem-25626	94	23	error	error	NOUN
fbem-25626	94	24	term	term	NOUN
fbem-25626	94	25	.	.	PUNCT
fbem-25626	95	1	the	the	DET
fbem-25626	95	2	arima	arima	PROPN
fbem-25626	95	3	model	model	NOUN
fbem-25626	95	4	performs	perform	VERB
fbem-25626	95	5	well	well	ADV
fbem-25626	95	6	in	in	ADP
fbem-25626	95	7	successfully	successfully	ADV
fbem-25626	95	8	modeling	model	VERB
fbem-25626	95	9	nonlinear	nonlinear	ADJ
fbem-25626	95	10	relational	relational	ADJ
fbem-25626	95	11	surfaces	surface	NOUN
fbem-25626	95	12	in	in	ADP
fbem-25626	95	13	time	time	NOUN
fbem-25626	95	14	series	series	PROPN
fbem-25626	95	15	data	data	PROPN
fbem-25626	95	16	,	,	PUNCT
fbem-25626	95	17	whereas	whereas	SCONJ
fbem-25626	95	18	,	,	PUNCT
fbem-25626	95	19	the	the	DET
fbem-25626	95	20	lstm	lstm	NOUN
fbem-25626	95	21	model	model	NOUN
fbem-25626	95	22	is	be	AUX
fbem-25626	95	23	capable	capable	ADJ
fbem-25626	95	24	of	of	ADP
fbem-25626	95	25	modeling	model	VERB
fbem-25626	95	26	nonlinear	nonlinear	ADJ
fbem-25626	95	27	components	component	NOUN
fbem-25626	95	28	.	.	PUNCT
fbem-25626	96	1	to	to	PART
fbem-25626	96	2	achieve	achieve	VERB
fbem-25626	96	3	the	the	DET
fbem-25626	96	4	best	good	ADJ
fbem-25626	96	5	prediction	prediction	NOUN
fbem-25626	96	6	results	result	NOUN
fbem-25626	96	7	,	,	PUNCT
fbem-25626	96	8	we	we	PRON
fbem-25626	96	9	constructed	construct	VERB
fbem-25626	96	10	a	a	DET
fbem-25626	96	11	hybrid	hybrid	ADJ
fbem-25626	96	12	model	model	NOUN
fbem-25626	96	13	that	that	PRON
fbem-25626	96	14	combines	combine	VERB
fbem-25626	96	15	the	the	DET
fbem-25626	96	16	benefits	benefit	NOUN
fbem-25626	96	17	of	of	ADP
fbem-25626	96	18	the	the	DET
fbem-25626	96	19	arima	arima	PROPN
fbem-25626	96	20	and	and	CCONJ
fbem-25626	96	21	lstm	lstm	NOUN
fbem-25626	96	22	models	model	NOUN
fbem-25626	96	23	.	.	PUNCT
fbem-25626	97	1	this	this	DET
fbem-25626	97	2	hybrid	hybrid	ADJ
fbem-25626	97	3	model	model	NOUN
fbem-25626	97	4	can	can	AUX
fbem-25626	97	5	be	be	AUX
fbem-25626	97	6	operated	operate	VERB
fbem-25626	97	7	within	within	ADP
fbem-25626	97	8	the	the	DET
fbem-25626	97	9	framework	framework	NOUN
fbem-25626	97	10	illustrated	illustrate	VERB
fbem-25626	97	11	in	in	ADP
fbem-25626	97	12	figure	figure	NOUN
fbem-25626	97	13	2	2	NUM
fbem-25626	97	14	.	.	PUNCT
fbem-25626	97	15	figure	figure	NOUN
fbem-25626	97	16	2	2	NUM
fbem-25626	97	17	.	.	PUNCT
fbem-25626	98	1	arima	arima	NOUN
fbem-25626	98	2	-	-	PUNCT
fbem-25626	98	3	lstm	lstm	NOUN
fbem-25626	98	4	hybrid	hybrid	NOUN
fbem-25626	98	5	model	model	NOUN
fbem-25626	98	6	the	the	DET
fbem-25626	98	7	hybrid	hybrid	NOUN
fbem-25626	98	8	model	model	NOUN
fbem-25626	98	9	can	can	AUX
fbem-25626	98	10	be	be	AUX
fbem-25626	98	11	generally	generally	ADV
fbem-25626	98	12	categorized	categorize	VERB
fbem-25626	98	13	into	into	ADP
fbem-25626	98	14	four	four	NUM
fbem-25626	98	15	phases	phase	NOUN
fbem-25626	98	16	:	:	PUNCT
fbem-25626	98	17	(	(	PUNCT
fbem-25626	98	18	1	1	X
fbem-25626	98	19	)	)	PUNCT
fbem-25626	98	20	data	datum	NOUN
fbem-25626	98	21	preprocessing	preprocessing	NOUN
fbem-25626	98	22	.	.	PUNCT
fbem-25626	99	1	time	time	PROPN
fbem-25626	99	2	series	series	PROPN
fbem-25626	99	3	data	datum	NOUN
fbem-25626	99	4	are	be	AUX
fbem-25626	99	5	generally	generally	ADV
fbem-25626	99	6	non	non	ADJ
fbem-25626	99	7	-	-	ADJ
fbem-25626	99	8	stationary	stationary	ADJ
fbem-25626	99	9	time	time	NOUN
fbem-25626	99	10	series	series	NOUN
fbem-25626	99	11	,	,	PUNCT
fbem-25626	99	12	needs	need	VERB
fbem-25626	99	13	to	to	PART
fbem-25626	99	14	observe	observe	VERB
fbem-25626	99	15	its	its	PRON
fbem-25626	99	16	scatter	scatter	NOUN
fbem-25626	99	17	plot	plot	NOUN
fbem-25626	99	18	or	or	CCONJ
fbem-25626	99	19	directly	directly	ADV
fbem-25626	99	20	conduct	conduct	VERB
fbem-25626	99	21	the	the	DET
fbem-25626	99	22	adf	adf	PROPN
fbem-25626	99	23	unit	unit	NOUN
fbem-25626	99	24	root	root	PROPN
fbem-25626	99	25	test	test	NOUN
fbem-25626	99	26	to	to	PART
fbem-25626	99	27	observe	observe	VERB
fbem-25626	99	28	whether	whether	SCONJ
fbem-25626	99	29	its	its	PRON
fbem-25626	99	30	time	time	NOUN
fbem-25626	99	31	series	series	NOUN
fbem-25626	99	32	is	be	AUX
fbem-25626	99	33	smooth	smooth	ADJ
fbem-25626	99	34	.	.	PUNCT
fbem-25626	100	1	if	if	SCONJ
fbem-25626	100	2	it	it	PRON
fbem-25626	100	3	is	be	AUX
fbem-25626	100	4	not	not	PART
fbem-25626	100	5	smooth	smooth	ADJ
fbem-25626	100	6	,	,	PUNCT
fbem-25626	100	7	it	it	PRON
fbem-25626	100	8	needs	need	VERB
fbem-25626	100	9	to	to	PART
fbem-25626	100	10	be	be	AUX
fbem-25626	100	11	processed	process	VERB
fbem-25626	100	12	by	by	ADP
fbem-25626	100	13	logarithm	logarithm	NOUN
fbem-25626	100	14	or	or	CCONJ
fbem-25626	100	15	difference	difference	NOUN
fbem-25626	100	16	to	to	PART
fbem-25626	100	17	transform	transform	VERB
fbem-25626	100	18	it	it	PRON
fbem-25626	100	19	into	into	ADP
fbem-25626	100	20	a	a	DET
fbem-25626	100	21	smooth	smooth	ADJ
fbem-25626	100	22	time	time	NOUN
fbem-25626	100	23	series	series	NOUN
fbem-25626	100	24	.	.	PUNCT
fbem-25626	101	1	(	(	PUNCT
fbem-25626	101	2	2	2	X
fbem-25626	101	3	)	)	PUNCT
fbem-25626	101	4	linear	linear	PROPN
fbem-25626	101	5	forecasting	forecasting	NOUN
fbem-25626	101	6	of	of	ADP
fbem-25626	101	7	arima	arima	PROPN
fbem-25626	101	8	model	model	NOUN
fbem-25626	101	9	.	.	PUNCT
fbem-25626	102	1	the	the	DET
fbem-25626	102	2	arima	arima	PROPN
fbem-25626	102	3	statistical	statistical	ADJ
fbem-25626	102	4	model	model	NOUN
fbem-25626	102	5	is	be	AUX
fbem-25626	102	6	used	use	VERB
fbem-25626	102	7	to	to	PART
fbem-25626	102	8	extract	extract	VERB
fbem-25626	102	9	the	the	DET
fbem-25626	102	10	linear	linear	ADJ
fbem-25626	102	11	part	part	NOUN
fbem-25626	102	12	267	267	NUM
fbem-25626	102	13	of	of	ADP
fbem-25626	102	14	the	the	DET
fbem-25626	102	15	cpi	cpi	NOUN
fbem-25626	102	16	𝐿𝑡	𝐿𝑡	PROPN
fbem-25626	102	17	and	and	CCONJ
fbem-25626	102	18	return	return	VERB
fbem-25626	102	19	the	the	DET
fbem-25626	102	20	residual	residual	ADJ
fbem-25626	102	21	term	term	NOUN
fbem-25626	102	22	𝑁𝑡	𝑁𝑡	PROPN
fbem-25626	102	23	,	,	PUNCT
fbem-25626	102	24	which	which	PRON
fbem-25626	102	25	is	be	AUX
fbem-25626	102	26	used	use	VERB
fbem-25626	102	27	as	as	ADP
fbem-25626	102	28	the	the	DET
fbem-25626	102	29	input	input	NOUN
fbem-25626	102	30	term	term	NOUN
fbem-25626	102	31	in	in	ADP
fbem-25626	102	32	the	the	DET
fbem-25626	102	33	next	next	ADJ
fbem-25626	102	34	step	step	NOUN
fbem-25626	102	35	.	.	PUNCT
fbem-25626	103	1	(	(	PUNCT
fbem-25626	103	2	3	3	X
fbem-25626	103	3	)	)	PUNCT
fbem-25626	103	4	the	the	DET
fbem-25626	103	5	residual	residual	ADJ
fbem-25626	103	6	term	term	NOUN
fbem-25626	103	7	𝑁𝑡	𝑁𝑡	PROPN
fbem-25626	103	8	generated	generate	VERB
fbem-25626	103	9	by	by	ADP
fbem-25626	103	10	the	the	DET
fbem-25626	103	11	arima	arima	PROPN
fbem-25626	103	12	model	model	NOUN
fbem-25626	103	13	,	,	PUNCT
fbem-25626	103	14	that	that	ADV
fbem-25626	103	15	is	is	ADV
fbem-25626	103	16	,	,	PUNCT
fbem-25626	103	17	the	the	DET
fbem-25626	103	18	nonlinear	nonlinear	ADJ
fbem-25626	103	19	part	part	NOUN
fbem-25626	103	20	,	,	PUNCT
fbem-25626	103	21	is	be	AUX
fbem-25626	103	22	fed	feed	VERB
fbem-25626	103	23	into	into	ADP
fbem-25626	103	24	the	the	DET
fbem-25626	103	25	lstm	lstm	PROPN
fbem-25626	103	26	network	network	NOUN
fbem-25626	103	27	for	for	ADP
fbem-25626	103	28	the	the	DET
fbem-25626	103	29	learning	learning	NOUN
fbem-25626	103	30	process	process	NOUN
fbem-25626	103	31	,	,	PUNCT
fbem-25626	103	32	and	and	CCONJ
fbem-25626	103	33	the	the	DET
fbem-25626	103	34	predicted	predict	VERB
fbem-25626	103	35	value	value	NOUN
fbem-25626	103	36	of	of	ADP
fbem-25626	103	37	the	the	DET
fbem-25626	103	38	nonlinear	nonlinear	ADJ
fbem-25626	103	39	part	part	NOUN
fbem-25626	103	40	is	be	AUX
fbem-25626	103	41	generated	generate	VERB
fbem-25626	103	42	.	.	PUNCT
fbem-25626	104	1	(	(	PUNCT
fbem-25626	104	2	4	4	X
fbem-25626	104	3	)	)	PUNCT
fbem-25626	104	4	the	the	DET
fbem-25626	104	5	predicted	predict	VERB
fbem-25626	104	6	values	value	NOUN
fbem-25626	104	7	of	of	ADP
fbem-25626	104	8	the	the	DET
fbem-25626	104	9	linear	linear	ADJ
fbem-25626	104	10	part	part	NOUN
fbem-25626	104	11	of	of	ADP
fbem-25626	104	12	the	the	DET
fbem-25626	104	13	arima	arima	PROPN
fbem-25626	104	14	model	model	NOUN
fbem-25626	104	15	and	and	CCONJ
fbem-25626	104	16	the	the	DET
fbem-25626	104	17	predicted	predict	VERB
fbem-25626	104	18	values	value	NOUN
fbem-25626	104	19	of	of	ADP
fbem-25626	104	20	the	the	DET
fbem-25626	104	21	nonlinear	nonlinear	ADJ
fbem-25626	104	22	part	part	NOUN
fbem-25626	104	23	of	of	ADP
fbem-25626	104	24	the	the	DET
fbem-25626	104	25	lstm	lstm	PROPN
fbem-25626	104	26	network	network	NOUN
fbem-25626	104	27	are	be	AUX
fbem-25626	104	28	added	add	VERB
fbem-25626	104	29	together	together	ADV
fbem-25626	104	30	to	to	PART
fbem-25626	104	31	derive	derive	VERB
fbem-25626	104	32	the	the	DET
fbem-25626	104	33	ultimate	ultimate	ADJ
fbem-25626	104	34	forecasting	forecasting	NOUN
fbem-25626	104	35	outcomes	outcome	NOUN
fbem-25626	104	36	,	,	PUNCT
fbem-25626	104	37	and	and	CCONJ
fbem-25626	104	38	the	the	DET
fbem-25626	104	39	outcomes	outcome	NOUN
fbem-25626	104	40	are	be	AUX
fbem-25626	104	41	evaluated	evaluate	VERB
fbem-25626	104	42	.	.	PUNCT
fbem-25626	105	1	2.4	2.4	NUM
fbem-25626	105	2	.	.	PUNCT
fbem-25626	105	3	evaluation	evaluation	NOUN
fbem-25626	105	4	indicators	indicator	NOUN
fbem-25626	105	5	in	in	ADP
fbem-25626	105	6	this	this	DET
fbem-25626	105	7	work	work	NOUN
fbem-25626	105	8	,	,	PUNCT
fbem-25626	105	9	four	four	NUM
fbem-25626	105	10	comprehensive	comprehensive	ADJ
fbem-25626	105	11	evaluation	evaluation	NOUN
fbem-25626	105	12	indexes	index	NOUN
fbem-25626	105	13	are	be	AUX
fbem-25626	105	14	chosen	choose	VERB
fbem-25626	105	15	to	to	PART
fbem-25626	105	16	evaluate	evaluate	VERB
fbem-25626	105	17	the	the	DET
fbem-25626	105	18	precision	precision	NOUN
fbem-25626	105	19	of	of	ADP
fbem-25626	105	20	the	the	DET
fbem-25626	105	21	forecast	forecast	NOUN
fbem-25626	105	22	of	of	ADP
fbem-25626	105	23	the	the	DET
fbem-25626	105	24	arima	arima	NOUN
fbem-25626	105	25	-	-	PUNCT
fbem-25626	105	26	lstm	lstm	PROPN
fbem-25626	105	27	model	model	NOUN
fbem-25626	105	28	,	,	PUNCT
fbem-25626	105	29	which	which	PRON
fbem-25626	105	30	are	be	AUX
fbem-25626	105	31	mean	mean	VERB
fbem-25626	105	32	absolute	absolute	ADJ
fbem-25626	105	33	error	error	NOUN
fbem-25626	105	34	(	(	PUNCT
fbem-25626	105	35	mae	mae	PROPN
fbem-25626	105	36	)	)	PUNCT
fbem-25626	105	37	,	,	PUNCT
fbem-25626	106	1	mean	mean	VERB
fbem-25626	106	2	square	square	ADJ
fbem-25626	106	3	error	error	NOUN
fbem-25626	106	4	(	(	PUNCT
fbem-25626	106	5	mse	mse	NOUN
fbem-25626	106	6	)	)	PUNCT
fbem-25626	106	7	,	,	PUNCT
fbem-25626	106	8	root	root	NOUN
fbem-25626	106	9	mean	mean	VERB
fbem-25626	106	10	square	square	ADJ
fbem-25626	106	11	error	error	NOUN
fbem-25626	106	12	(	(	PUNCT
fbem-25626	106	13	rmse	rmse	NOUN
fbem-25626	106	14	)	)	PUNCT
fbem-25626	106	15	and	and	CCONJ
fbem-25626	106	16	mean	mean	VERB
fbem-25626	106	17	absolute	absolute	ADJ
fbem-25626	106	18	percentage	percentage	NOUN
fbem-25626	106	19	error	error	NOUN
fbem-25626	106	20	(	(	PUNCT
fbem-25626	106	21	mape	mape	NOUN
fbem-25626	106	22	)	)	PUNCT
fbem-25626	106	23	.	.	PUNCT
fbem-25626	107	1	its	its	PRON
fbem-25626	107	2	specific	specific	ADJ
fbem-25626	107	3	formula	formula	NOUN
fbem-25626	107	4	is	be	AUX
fbem-25626	107	5	as	as	SCONJ
fbem-25626	107	6	follows	follow	VERB
fbem-25626	107	7	:	:	PUNCT
fbem-25626	107	8	(	(	PUNCT
fbem-25626	107	9	1	1	X
fbem-25626	107	10	)	)	PUNCT
fbem-25626	107	11	mean	mean	VERB
fbem-25626	107	12	absolute	absolute	ADJ
fbem-25626	107	13	error	error	NOUN
fbem-25626	107	14	.	.	PUNCT
fbem-25626	108	1	𝑀𝐴𝐸	𝑀𝐴𝐸	NOUN
fbem-25626	108	2	=	=	SYM
fbem-25626	108	3	1	1	NUM
fbem-25626	108	4	𝑛	𝑛	PROPN
fbem-25626	108	5	∑	∑	ADP
fbem-25626	108	6	|𝑦𝑖	|𝑦𝑖	ADP
fbem-25626	108	7	−	−	PROPN
fbem-25626	108	8	𝑦	𝑦	SYM
fbem-25626	108	9	�	�	NOUN
fbem-25626	108	10	̂	̂	SYM
fbem-25626	108	11	�	�	NOUN
fbem-25626	108	12	|	|	NOUN
fbem-25626	108	13	𝑛	𝑛	DET
fbem-25626	108	14	𝑖=1	𝑖=1	PROPN
fbem-25626	108	15	  	  	SPACE
fbem-25626	108	16	∈	∈	PROPN
fbem-25626	109	1	[	[	X
fbem-25626	109	2	0	0	NUM
fbem-25626	109	3	,	,	PUNCT
fbem-25626	109	4	+	+	NOUN
fbem-25626	109	5	∞	∞	NOUN
fbem-25626	109	6	]	]	X
fbem-25626	109	7	(	(	PUNCT
fbem-25626	109	8	2	2	X
fbem-25626	109	9	)	)	PUNCT
fbem-25626	109	10	mean	mean	NOUN
fbem-25626	109	11	square	square	NOUN
fbem-25626	109	12	error	error	NOUN
fbem-25626	109	13	.	.	PUNCT
fbem-25626	110	1	𝑀𝑆𝐸	𝑀𝑆𝐸	NOUN
fbem-25626	110	2	=	=	SYM
fbem-25626	110	3	1	1	NUM
fbem-25626	110	4	𝑛	𝑛	NOUN
fbem-25626	110	5	∑	∑	PUNCT
fbem-25626	110	6	(	(	PUNCT
fbem-25626	110	7	𝑦𝑖	𝑦𝑖	PROPN
fbem-25626	110	8	−	−	PROPN
fbem-25626	110	9	𝑦	𝑦	SYM
fbem-25626	110	10	�	�	PROPN
fbem-25626	110	11	̂	̂	SYM
fbem-25626	110	12	�	�	NOUN
fbem-25626	110	13	)	)	PUNCT
fbem-25626	110	14	2𝑛	2𝑛	PROPN
fbem-25626	110	15	𝑖=1	𝑖=1	PUNCT
fbem-25626	110	16	  	  	SPACE
fbem-25626	110	17	∈	∈	PROPN
fbem-25626	111	1	[	[	X
fbem-25626	111	2	0	0	NUM
fbem-25626	111	3	,	,	PUNCT
fbem-25626	111	4	+	+	NOUN
fbem-25626	111	5	∞	∞	NOUN
fbem-25626	111	6	]	]	X
fbem-25626	111	7	(	(	PUNCT
fbem-25626	111	8	3	3	X
fbem-25626	111	9	)	)	PUNCT
fbem-25626	111	10	root	root	NOUN
fbem-25626	111	11	mean	mean	ADJ
fbem-25626	111	12	square	square	NOUN
fbem-25626	111	13	error	error	NOUN
fbem-25626	111	14	.	.	PUNCT
fbem-25626	112	1	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
fbem-25626	112	2	=	=	PRON
fbem-25626	113	1	√	√	ADP
fbem-25626	113	2	1	1	NUM
fbem-25626	113	3	𝑛	𝑛	PROPN
fbem-25626	113	4	∑	∑	PROPN
fbem-25626	113	5	(	(	PUNCT
fbem-25626	113	6	𝑦𝑖	𝑦𝑖	PROPN
fbem-25626	113	7	−	−	PROPN
fbem-25626	113	8	𝑦	𝑦	SYM
fbem-25626	113	9	�	�	PROPN
fbem-25626	113	10	̂	̂	SYM
fbem-25626	113	11	�	�	NOUN
fbem-25626	113	12	)	)	PUNCT
fbem-25626	113	13	2𝑛	2𝑛	PROPN
fbem-25626	113	14	𝑖=1	𝑖=1	PUNCT
fbem-25626	113	15	  	  	SPACE
fbem-25626	113	16	∈	∈	PROPN
fbem-25626	114	1	[	[	X
fbem-25626	114	2	0	0	NUM
fbem-25626	114	3	,	,	PUNCT
fbem-25626	114	4	+	+	NOUN
fbem-25626	114	5	∞	∞	NOUN
fbem-25626	114	6	]	]	X
fbem-25626	114	7	(	(	PUNCT
fbem-25626	114	8	4	4	X
fbem-25626	114	9	)	)	PUNCT
fbem-25626	114	10	mean	mean	VERB
fbem-25626	114	11	absolute	absolute	ADJ
fbem-25626	114	12	percentage	percentage	NOUN
fbem-25626	114	13	error	error	NOUN
fbem-25626	114	14	.	.	PUNCT
fbem-25626	115	1	𝑀𝐴𝑃𝐸	𝑀𝐴𝑃𝐸	PROPN
fbem-25626	115	2	=	=	PUNCT
fbem-25626	115	3	100	100	NUM
fbem-25626	115	4	%	%	NOUN
fbem-25626	115	5	𝑛	𝑛	ADP
fbem-25626	115	6	∑	∑	PUNCT
fbem-25626	115	7	|	|	ADV
fbem-25626	115	8	𝑦𝑖−𝑦	𝑦𝑖−𝑦	VERB
fbem-25626	115	9	�	�	PROPN
fbem-25626	115	10	̂	̂	SYM
fbem-25626	115	11	�	�	NOUN
fbem-25626	115	12	𝑦𝑖	𝑦𝑖	ADP
fbem-25626	115	13	|𝑛𝑖=1	|𝑛𝑖=1	PROPN
fbem-25626	115	14	∈	∈	PROPN
fbem-25626	116	1	[	[	X
fbem-25626	116	2	0	0	NUM
fbem-25626	116	3	,	,	PUNCT
fbem-25626	116	4	+	+	NOUN
fbem-25626	116	5	∞	∞	NOUN
fbem-25626	116	6	]	]	PUNCT
fbem-25626	116	7	where	where	SCONJ
fbem-25626	116	8	𝑦𝑖	𝑦𝑖	PROPN
fbem-25626	116	9	denotes	denote	VERB
fbem-25626	116	10	the	the	DET
fbem-25626	116	11	𝑖	𝑖	X
fbem-25626	116	12	th	th	X
fbem-25626	116	13	true	true	ADJ
fbem-25626	116	14	value	value	NOUN
fbem-25626	116	15	,	,	PUNCT
fbem-25626	116	16	and	and	CCONJ
fbem-25626	116	17	𝑦	𝑦	NOUN
fbem-25626	116	18	�	�	NOUN
fbem-25626	116	19	̂	̂	SYM
fbem-25626	116	20	�	�	NOUN
fbem-25626	116	21	denotes	denote	VERB
fbem-25626	116	22	the	the	DET
fbem-25626	116	23	𝑖	𝑖	X
fbem-25626	116	24	th	th	ADV
fbem-25626	116	25	predicted	predict	VERB
fbem-25626	116	26	value	value	NOUN
fbem-25626	116	27	.	.	PUNCT
fbem-25626	117	1	the	the	DET
fbem-25626	117	2	smaller	small	ADJ
fbem-25626	117	3	the	the	DET
fbem-25626	117	4	value	value	NOUN
fbem-25626	117	5	of	of	ADP
fbem-25626	117	6	mae	mae	PROPN
fbem-25626	117	7	,	,	PUNCT
fbem-25626	117	8	mse	mse	PROPN
fbem-25626	117	9	,	,	PUNCT
fbem-25626	117	10	rmse	rmse	NOUN
fbem-25626	117	11	,	,	PUNCT
fbem-25626	117	12	mape	mape	NOUN
fbem-25626	117	13	,	,	PUNCT
fbem-25626	117	14	suggesting	suggest	VERB
fbem-25626	117	15	that	that	SCONJ
fbem-25626	117	16	the	the	PRON
fbem-25626	117	17	greater	great	ADJ
fbem-25626	117	18	the	the	DET
fbem-25626	117	19	model	model	NOUN
fbem-25626	117	20	's	's	PART
fbem-25626	117	21	precision	precision	NOUN
fbem-25626	117	22	,	,	PUNCT
fbem-25626	117	23	the	the	PRON
fbem-25626	117	24	more	more	ADV
fbem-25626	117	25	effective	effective	ADJ
fbem-25626	117	26	the	the	DET
fbem-25626	117	27	fit	fit	NOUN
fbem-25626	117	28	.	.	PUNCT
fbem-25626	118	1	3	3	X
fbem-25626	118	2	.	.	X
fbem-25626	118	3	empirical	empirical	ADJ
fbem-25626	118	4	analysis	analysis	NOUN
fbem-25626	118	5	3.1	3.1	NUM
fbem-25626	118	6	.	.	PUNCT
fbem-25626	118	7	data	datum	NOUN
fbem-25626	118	8	sources	source	NOUN
fbem-25626	118	9	and	and	CCONJ
fbem-25626	118	10	pre	pre	ADJ
fbem-25626	118	11	-	-	ADJ
fbem-25626	118	12	processing	process	VERB
fbem-25626	118	13	this	this	DET
fbem-25626	118	14	paper	paper	NOUN
fbem-25626	118	15	uses	use	VERB
fbem-25626	118	16	monthly	monthly	ADJ
fbem-25626	118	17	data	datum	NOUN
fbem-25626	118	18	of	of	ADP
fbem-25626	118	19	china	china	PROPN
fbem-25626	118	20	cpi	cpi	PROPN
fbem-25626	118	21	from	from	ADP
fbem-25626	118	22	january	january	PROPN
fbem-25626	118	23	2016	2016	NUM
fbem-25626	118	24	to	to	ADP
fbem-25626	118	25	april	april	PROPN
fbem-25626	118	26	2023	2023	NUM
fbem-25626	118	27	,	,	PUNCT
fbem-25626	118	28	with	with	ADP
fbem-25626	118	29	a	a	DET
fbem-25626	118	30	total	total	NOUN
fbem-25626	118	31	of	of	ADP
fbem-25626	118	32	88	88	NUM
fbem-25626	118	33	sample	sample	NOUN
fbem-25626	118	34	values	value	NOUN
fbem-25626	118	35	.	.	PUNCT
fbem-25626	119	1	the	the	DET
fbem-25626	119	2	source	source	NOUN
fbem-25626	119	3	of	of	ADP
fbem-25626	119	4	data	data	NOUN
fbem-25626	119	5	is	be	AUX
fbem-25626	119	6	the	the	DET
fbem-25626	119	7	official	official	ADJ
fbem-25626	119	8	website	website	NOUN
fbem-25626	119	9	of	of	ADP
fbem-25626	119	10	the	the	DET
fbem-25626	119	11	national	national	PROPN
fbem-25626	119	12	bureau	bureau	PROPN
fbem-25626	119	13	of	of	ADP
fbem-25626	119	14	statistics	statistics	PROPN
fbem-25626	119	15	.	.	PUNCT
fbem-25626	120	1	figure	figure	VERB
fbem-25626	120	2	3	3	NUM
fbem-25626	120	3	shows	show	VERB
fbem-25626	120	4	china	china	PROPN
fbem-25626	120	5	's	's	PART
fbem-25626	120	6	cpi	cpi	PROPN
fbem-25626	120	7	data	datum	NOUN
fbem-25626	120	8	over	over	ADP
fbem-25626	120	9	the	the	DET
fbem-25626	120	10	past	past	ADJ
fbem-25626	120	11	88	88	NUM
fbem-25626	120	12	months	month	NOUN
fbem-25626	120	13	.	.	PUNCT
fbem-25626	121	1	figure	figure	VERB
fbem-25626	121	2	3	3	NUM
fbem-25626	121	3	.	.	PUNCT
fbem-25626	121	4	cpi	cpi	PROPN
fbem-25626	121	5	data	data	PROPN
fbem-25626	121	6	of	of	ADP
fbem-25626	121	7	china	china	PROPN
fbem-25626	121	8	in	in	ADP
fbem-25626	121	9	order	order	NOUN
fbem-25626	121	10	to	to	PART
fbem-25626	121	11	analyze	analyze	VERB
fbem-25626	121	12	and	and	CCONJ
fbem-25626	121	13	forecast	forecast	VERB
fbem-25626	121	14	the	the	DET
fbem-25626	121	15	cpi	cpi	NOUN
fbem-25626	121	16	using	use	VERB
fbem-25626	121	17	the	the	DET
fbem-25626	121	18	arima	arima	PROPN
fbem-25626	121	19	model	model	NOUN
fbem-25626	121	20	,	,	PUNCT
fbem-25626	121	21	the	the	DET
fbem-25626	121	22	stability	stability	NOUN
fbem-25626	121	23	of	of	ADP
fbem-25626	121	24	the	the	DET
fbem-25626	121	25	time	time	NOUN
fbem-25626	121	26	series	series	PROPN
fbem-25626	121	27	must	must	AUX
fbem-25626	121	28	be	be	AUX
fbem-25626	121	29	ensured	ensure	VERB
fbem-25626	121	30	first	first	ADV
fbem-25626	121	31	.	.	PUNCT
fbem-25626	122	1	however	however	ADV
fbem-25626	122	2	,	,	PUNCT
fbem-25626	122	3	the	the	DET
fbem-25626	122	4	selected	select	VERB
fbem-25626	122	5	cpi	cpi	PROPN
fbem-25626	122	6	data	datum	NOUN
fbem-25626	122	7	may	may	AUX
fbem-25626	122	8	be	be	AUX
fbem-25626	122	9	affected	affect	VERB
fbem-25626	122	10	by	by	ADP
fbem-25626	122	11	unexpected	unexpected	ADJ
fbem-25626	122	12	events	event	NOUN
fbem-25626	122	13	,	,	PUNCT
fbem-25626	122	14	resulting	result	VERB
fbem-25626	122	15	in	in	ADP
fbem-25626	122	16	data	datum	NOUN
fbem-25626	122	17	instability	instability	NOUN
fbem-25626	122	18	.	.	PUNCT
fbem-25626	123	1	therefore	therefore	ADV
fbem-25626	123	2	,	,	PUNCT
fbem-25626	123	3	before	before	SCONJ
fbem-25626	123	4	arima	arima	NOUN
fbem-25626	123	5	analysis	analysis	NOUN
fbem-25626	123	6	and	and	CCONJ
fbem-25626	123	7	forecasting	forecasting	NOUN
fbem-25626	123	8	of	of	ADP
fbem-25626	123	9	cpi	cpi	PROPN
fbem-25626	123	10	,	,	PUNCT
fbem-25626	123	11	unit	unit	NOUN
fbem-25626	123	12	root	root	NOUN
fbem-25626	123	13	test	test	NOUN
fbem-25626	123	14	is	be	AUX
fbem-25626	123	15	needed	need	VERB
fbem-25626	123	16	to	to	PART
fbem-25626	123	17	guarantee	guarantee	VERB
fbem-25626	123	18	the	the	DET
fbem-25626	123	19	data	datum	NOUN
fbem-25626	123	20	's	's	PART
fbem-25626	123	21	continuity	continuity	NOUN
fbem-25626	123	22	.	.	PUNCT
fbem-25626	124	1	unit	unit	NOUN
fbem-25626	124	2	root	root	PROPN
fbem-25626	124	3	denotes	denote	VERB
fbem-25626	124	4	the	the	DET
fbem-25626	124	5	unit	unit	NOUN
fbem-25626	124	6	root	root	NOUN
fbem-25626	124	7	process	process	NOUN
fbem-25626	124	8	,	,	PUNCT
fbem-25626	124	9	if	if	SCONJ
fbem-25626	124	10	there	there	PRON
fbem-25626	124	11	is	be	VERB
fbem-25626	124	12	a	a	DET
fbem-25626	124	13	unit	unit	NOUN
fbem-25626	124	14	root	root	NOUN
fbem-25626	124	15	process	process	NOUN
fbem-25626	124	16	in	in	ADP
fbem-25626	124	17	the	the	DET
fbem-25626	124	18	time	time	NOUN
fbem-25626	124	19	series	series	NOUN
fbem-25626	124	20	it	it	PRON
fbem-25626	124	21	indicates	indicate	VERB
fbem-25626	124	22	that	that	SCONJ
fbem-25626	124	23	the	the	DET
fbem-25626	124	24	series	series	NOUN
fbem-25626	124	25	is	be	AUX
fbem-25626	124	26	not	not	PART
fbem-25626	124	27	smooth	smooth	ADJ
fbem-25626	124	28	,	,	PUNCT
fbem-25626	124	29	and	and	CCONJ
fbem-25626	124	30	there	there	PRON
fbem-25626	124	31	could	could	AUX
fbem-25626	124	32	be	be	AUX
fbem-25626	124	33	a	a	DET
fbem-25626	124	34	spurious	spurious	ADJ
fbem-25626	124	35	regression	regression	NOUN
fbem-25626	124	36	phenomenon	phenomenon	NOUN
fbem-25626	124	37	within	within	ADP
fbem-25626	124	38	the	the	DET
fbem-25626	124	39	context	context	NOUN
fbem-25626	124	40	of	of	ADP
fbem-25626	124	41	regression	regression	NOUN
fbem-25626	124	42	analysis	analysis	NOUN
fbem-25626	124	43	.	.	PUNCT
fbem-25626	125	1	common	common	ADJ
fbem-25626	125	2	unit	unit	NOUN
fbem-25626	125	3	root	root	NOUN
fbem-25626	125	4	test	test	NOUN
fbem-25626	125	5	methods	method	NOUN
fbem-25626	125	6	include	include	VERB
fbem-25626	125	7	the	the	DET
fbem-25626	125	8	augmented	augment	VERB
fbem-25626	125	9	dickey	dickey	NOUN
fbem-25626	125	10	-	-	PUNCT
fbem-25626	125	11	fuller	full	ADJ
fbem-25626	125	12	(	(	PUNCT
fbem-25626	125	13	adf	adf	NOUN
fbem-25626	125	14	)	)	PUNCT
fbem-25626	125	15	test	test	NOUN
fbem-25626	125	16	,	,	PUNCT
fbem-25626	125	17	phillips	phillip	NOUN
fbem-25626	125	18	-	-	PUNCT
fbem-25626	125	19	perro	perro	PROPN
fbem-25626	125	20	(	(	PUNCT
fbem-25626	125	21	pp	pp	ADJ
fbem-25626	125	22	)	)	PUNCT
fbem-25626	125	23	test	test	NOUN
fbem-25626	125	24	,	,	PUNCT
fbem-25626	125	25	ng	ng	PROPN
fbem-25626	125	26	-	-	PUNCT
fbem-25626	125	27	perron	perron	PROPN
fbem-25626	125	28	(	(	PUNCT
fbem-25626	125	29	np	np	INTJ
fbem-25626	125	30	)	)	PUNCT
fbem-25626	125	31	test	test	NOUN
fbem-25626	125	32	,	,	PUNCT
fbem-25626	125	33	etc	etc	X
fbem-25626	125	34	.	.	X
fbem-25626	125	35	in	in	ADP
fbem-25626	125	36	this	this	DET
fbem-25626	125	37	study	study	NOUN
fbem-25626	125	38	,	,	PUNCT
fbem-25626	125	39	the	the	DET
fbem-25626	125	40	adf	adf	PROPN
fbem-25626	125	41	test	test	NOUN
fbem-25626	125	42	is	be	AUX
fbem-25626	125	43	chosen	choose	VERB
fbem-25626	125	44	.	.	PUNCT
fbem-25626	126	1	when	when	SCONJ
fbem-25626	126	2	using	use	VERB
fbem-25626	126	3	stata	stata	NOUN
fbem-25626	126	4	software	software	NOUN
fbem-25626	126	5	to	to	PART
fbem-25626	126	6	carry	carry	VERB
fbem-25626	126	7	out	out	ADP
fbem-25626	126	8	adf	adf	NOUN
fbem-25626	126	9	test	test	NOUN
fbem-25626	126	10	on	on	ADP
fbem-25626	126	11	the	the	DET
fbem-25626	126	12	original	original	ADJ
fbem-25626	126	13	cpi	cpi	PROPN
fbem-25626	126	14	data	datum	NOUN
fbem-25626	126	15	,	,	PUNCT
fbem-25626	126	16	it	it	PRON
fbem-25626	126	17	is	be	AUX
fbem-25626	126	18	found	find	VERB
fbem-25626	126	19	that	that	SCONJ
fbem-25626	126	20	the	the	DET
fbem-25626	126	21	t	t	PROPN
fbem-25626	126	22	-	-	PUNCT
fbem-25626	126	23	statistic	statistic	NOUN
fbem-25626	126	24	shows	show	NOUN
fbem-25626	126	25	significance	significance	NOUN
fbem-25626	126	26	at	at	ADP
fbem-25626	126	27	a	a	DET
fbem-25626	126	28	1	1	NUM
fbem-25626	126	29	%	%	NOUN
fbem-25626	126	30	level	level	NOUN
fbem-25626	126	31	of	of	ADP
fbem-25626	126	32	significance	significance	NOUN
fbem-25626	126	33	,	,	PUNCT
fbem-25626	126	34	which	which	PRON
fbem-25626	126	35	means	mean	VERB
fbem-25626	126	36	that	that	SCONJ
fbem-25626	126	37	the	the	DET
fbem-25626	126	38	original	original	ADJ
fbem-25626	126	39	cpi	cpi	PROPN
fbem-25626	126	40	series	series	NOUN
fbem-25626	126	41	is	be	AUX
fbem-25626	126	42	smooth	smooth	ADJ
fbem-25626	126	43	,	,	PUNCT
fbem-25626	126	44	and	and	CCONJ
fbem-25626	126	45	can	can	AUX
fbem-25626	126	46	continue	continue	VERB
fbem-25626	126	47	to	to	PART
fbem-25626	126	48	carry	carry	VERB
fbem-25626	126	49	out	out	ADP
fbem-25626	126	50	the	the	DET
fbem-25626	126	51	subsequent	subsequent	ADJ
fbem-25626	126	52	empirical	empirical	ADJ
fbem-25626	126	53	analysis	analysis	NOUN
fbem-25626	126	54	.	.	PUNCT
fbem-25626	127	1	3.2	3.2	NUM
fbem-25626	127	2	.	.	PUNCT
fbem-25626	128	1	arima	arima	PROPN
fbem-25626	128	2	model	model	NOUN
fbem-25626	128	3	fitted	fit	VERB
fbem-25626	128	4	with	with	ADP
fbem-25626	128	5	a	a	DET
fbem-25626	128	6	linear	linear	ADJ
fbem-25626	128	7	component	component	NOUN
fbem-25626	128	8	from	from	ADP
fbem-25626	128	9	the	the	DET
fbem-25626	128	10	above	above	NOUN
fbem-25626	128	11	,	,	PUNCT
fbem-25626	128	12	it	it	PRON
fbem-25626	128	13	is	be	AUX
fbem-25626	128	14	evident	evident	ADJ
fbem-25626	128	15	that	that	SCONJ
fbem-25626	128	16	the	the	DET
fbem-25626	128	17	original	original	ADJ
fbem-25626	128	18	sequence	sequence	NOUN
fbem-25626	128	19	is	be	AUX
fbem-25626	128	20	smooth	smooth	ADJ
fbem-25626	128	21	and	and	CCONJ
fbem-25626	128	22	does	do	AUX
fbem-25626	128	23	not	not	PART
fbem-25626	128	24	need	need	VERB
fbem-25626	128	25	to	to	PART
fbem-25626	128	26	be	be	AUX
fbem-25626	128	27	differenced	difference	VERB
fbem-25626	128	28	,	,	PUNCT
fbem-25626	128	29	so	so	SCONJ
fbem-25626	128	30	the	the	DET
fbem-25626	128	31	value	value	NOUN
fbem-25626	128	32	of	of	ADP
fbem-25626	128	33	d	d	PROPN
fbem-25626	128	34	in	in	ADP
fbem-25626	128	35	the	the	DET
fbem-25626	128	36	arima	arima	NOUN
fbem-25626	128	37	model	model	NOUN
fbem-25626	128	38	is	be	AUX
fbem-25626	128	39	0	0	NUM
fbem-25626	128	40	.	.	PUNCT
fbem-25626	129	1	the	the	DET
fbem-25626	129	2	next	next	ADJ
fbem-25626	129	3	step	step	NOUN
fbem-25626	129	4	is	be	AUX
fbem-25626	129	5	to	to	PART
fbem-25626	129	6	determine	determine	VERB
fbem-25626	129	7	the	the	DET
fbem-25626	129	8	value	value	NOUN
fbem-25626	129	9	of	of	ADP
fbem-25626	129	10	p	p	NOUN
fbem-25626	129	11	and	and	CCONJ
fbem-25626	129	12	q	q	NOUN
fbem-25626	129	13	by	by	ADP
fbem-25626	129	14	observing	observe	VERB
fbem-25626	129	15	the	the	DET
fbem-25626	129	16	acf	acf	PROPN
fbem-25626	129	17	diagram	diagram	PROPN
fbem-25626	129	18	and	and	CCONJ
fbem-25626	129	19	pacf	pacf	PROPN
fbem-25626	129	20	diagram	diagram	NOUN
fbem-25626	129	21	of	of	ADP
fbem-25626	129	22	the	the	DET
fbem-25626	129	23	sample	sample	NOUN
fbem-25626	129	24	data	datum	NOUN
fbem-25626	129	25	.	.	PUNCT
fbem-25626	130	1	as	as	SCONJ
fbem-25626	130	2	shown	show	VERB
fbem-25626	130	3	in	in	ADP
fbem-25626	130	4	figure	figure	NOUN
fbem-25626	130	5	3	3	NUM
fbem-25626	130	6	.	.	NOUN
fbem-25626	130	7	268	268	NUM
fbem-25626	130	8	figure	figure	NOUN
fbem-25626	130	9	4	4	NUM
fbem-25626	130	10	.	.	PUNCT
fbem-25626	130	11	sample	sample	NOUN
fbem-25626	130	12	autocorrelation	autocorrelation	NOUN
fbem-25626	130	13	and	and	CCONJ
fbem-25626	130	14	partial	partial	ADJ
fbem-25626	130	15	autocorrelation	autocorrelation	NOUN
fbem-25626	130	16	plots	plot	VERB
fbem-25626	130	17	the	the	DET
fbem-25626	130	18	four	four	NUM
fbem-25626	130	19	models	model	NOUN
fbem-25626	130	20	arima	arima	NOUN
fbem-25626	130	21	(	(	PUNCT
fbem-25626	130	22	1	1	NUM
fbem-25626	130	23	,	,	PUNCT
fbem-25626	130	24	0	0	NUM
fbem-25626	130	25	,	,	PUNCT
fbem-25626	130	26	1	1	NUM
fbem-25626	130	27	)	)	PUNCT
fbem-25626	130	28	,	,	PUNCT
fbem-25626	130	29	arima	arima	PROPN
fbem-25626	130	30	(	(	PUNCT
fbem-25626	130	31	1	1	NUM
fbem-25626	130	32	,	,	PUNCT
fbem-25626	130	33	0	0	NUM
fbem-25626	130	34	,	,	PUNCT
fbem-25626	130	35	2	2	NUM
fbem-25626	130	36	)	)	PUNCT
fbem-25626	130	37	,	,	PUNCT
fbem-25626	130	38	arima	arima	NOUN
fbem-25626	130	39	(	(	PUNCT
fbem-25626	130	40	2	2	NUM
fbem-25626	130	41	,	,	PUNCT
fbem-25626	130	42	0	0	NUM
fbem-25626	130	43	,	,	PUNCT
fbem-25626	130	44	1	1	NUM
fbem-25626	130	45	)	)	PUNCT
fbem-25626	130	46	and	and	CCONJ
fbem-25626	130	47	arima	arima	PROPN
fbem-25626	130	48	(	(	PUNCT
fbem-25626	130	49	2	2	NUM
fbem-25626	130	50	,	,	PUNCT
fbem-25626	130	51	0	0	NUM
fbem-25626	130	52	,	,	PUNCT
fbem-25626	130	53	2	2	NUM
fbem-25626	130	54	)	)	PUNCT
fbem-25626	130	55	are	be	AUX
fbem-25626	130	56	evaluated	evaluate	VERB
fbem-25626	130	57	.	.	PUNCT
fbem-25626	131	1	the	the	DET
fbem-25626	131	2	residual	residual	ADJ
fbem-25626	131	3	series	series	NOUN
fbem-25626	131	4	of	of	ADP
fbem-25626	131	5	the	the	DET
fbem-25626	131	6	four	four	NUM
fbem-25626	131	7	models	model	NOUN
fbem-25626	131	8	were	be	AUX
fbem-25626	131	9	subjected	subject	VERB
fbem-25626	131	10	to	to	ADP
fbem-25626	131	11	q	q	NOUN
fbem-25626	131	12	-	-	PUNCT
fbem-25626	131	13	tests	test	NOUN
fbem-25626	131	14	respectively	respectively	ADV
fbem-25626	131	15	,	,	PUNCT
fbem-25626	131	16	and	and	CCONJ
fbem-25626	131	17	the	the	DET
fbem-25626	131	18	tests	test	NOUN
fbem-25626	131	19	were	be	AUX
fbem-25626	131	20	all	all	PRON
fbem-25626	131	21	passed	pass	VERB
fbem-25626	131	22	,	,	PUNCT
fbem-25626	131	23	indicating	indicate	VERB
fbem-25626	131	24	that	that	SCONJ
fbem-25626	131	25	the	the	DET
fbem-25626	131	26	residual	residual	ADJ
fbem-25626	131	27	series	series	NOUN
fbem-25626	131	28	of	of	ADP
fbem-25626	131	29	the	the	DET
fbem-25626	131	30	four	four	NUM
fbem-25626	131	31	models	model	NOUN
fbem-25626	131	32	were	be	AUX
fbem-25626	131	33	white	white	ADJ
fbem-25626	131	34	noise	noise	NOUN
fbem-25626	131	35	and	and	CCONJ
fbem-25626	131	36	the	the	DET
fbem-25626	131	37	models	model	NOUN
fbem-25626	131	38	were	be	AUX
fbem-25626	131	39	all	all	ADV
fbem-25626	131	40	fully	fully	ADV
fbem-25626	131	41	identified	identify	VERB
fbem-25626	131	42	.	.	PUNCT
fbem-25626	132	1	compare	compare	VERB
fbem-25626	132	2	the	the	DET
fbem-25626	132	3	fit	fit	NOUN
fbem-25626	132	4	of	of	ADP
fbem-25626	132	5	four	four	NUM
fbem-25626	132	6	models	model	NOUN
fbem-25626	132	7	using	use	VERB
fbem-25626	132	8	the	the	DET
fbem-25626	132	9	akaike	akaike	ADJ
fbem-25626	132	10	information	information	NOUN
fbem-25626	132	11	criterion	criterion	NOUN
fbem-25626	132	12	(	(	PUNCT
fbem-25626	132	13	aic	aic	PROPN
fbem-25626	132	14	)	)	PUNCT
fbem-25626	132	15	,	,	PUNCT
fbem-25626	132	16	the	the	DET
fbem-25626	132	17	bayesian	bayesian	ADJ
fbem-25626	132	18	information	information	NOUN
fbem-25626	132	19	criterion	criterion	NOUN
fbem-25626	132	20	(	(	PUNCT
fbem-25626	132	21	bic	bic	NOUN
fbem-25626	132	22	)	)	PUNCT
fbem-25626	132	23	,	,	PUNCT
fbem-25626	132	24	and	and	CCONJ
fbem-25626	132	25	khundrin	khundrin	PROPN
fbem-25626	132	26	's	's	PART
fbem-25626	132	27	law	law	NOUN
fbem-25626	132	28	of	of	ADP
fbem-25626	132	29	iterated	iterated	ADJ
fbem-25626	132	30	logarithm	logarithm	NOUN
fbem-25626	132	31	criterion	criterion	NOUN
fbem-25626	132	32	(	(	PUNCT
fbem-25626	132	33	lilc	lilc	NOUN
fbem-25626	132	34	)	)	PUNCT
fbem-25626	132	35	as	as	ADP
fbem-25626	132	36	evaluation	evaluation	NOUN
fbem-25626	132	37	metrics	metric	NOUN
fbem-25626	132	38	.	.	PUNCT
fbem-25626	133	1	the	the	DET
fbem-25626	133	2	more	more	ADV
fbem-25626	133	3	reduced	reduce	VERB
fbem-25626	133	4	the	the	DET
fbem-25626	133	5	values	value	NOUN
fbem-25626	133	6	of	of	ADP
fbem-25626	133	7	aic	aic	PROPN
fbem-25626	133	8	,	,	PUNCT
fbem-25626	133	9	bic	bic	PROPN
fbem-25626	133	10	,	,	PUNCT
fbem-25626	133	11	and	and	CCONJ
fbem-25626	133	12	lilc	lilc	PROPN
fbem-25626	133	13	,	,	PUNCT
fbem-25626	133	14	the	the	DET
fbem-25626	133	15	more	more	ADV
fbem-25626	133	16	favorable	favorable	ADJ
fbem-25626	133	17	the	the	DET
fbem-25626	133	18	model	model	NOUN
fbem-25626	133	19	fit	fit	NOUN
fbem-25626	133	20	and	and	CCONJ
fbem-25626	133	21	the	the	PRON
fbem-25626	133	22	higher	high	ADJ
fbem-25626	133	23	the	the	DET
fbem-25626	133	24	accuracy	accuracy	NOUN
fbem-25626	133	25	of	of	ADP
fbem-25626	133	26	the	the	DET
fbem-25626	133	27	predicted	predict	VERB
fbem-25626	133	28	values	value	NOUN
fbem-25626	133	29	.	.	PUNCT
fbem-25626	134	1	by	by	ADP
fbem-25626	134	2	comparing	compare	VERB
fbem-25626	134	3	the	the	DET
fbem-25626	134	4	four	four	NUM
fbem-25626	134	5	models	model	NOUN
fbem-25626	134	6	,	,	PUNCT
fbem-25626	134	7	it	it	PRON
fbem-25626	134	8	was	be	AUX
fbem-25626	134	9	determined	determine	VERB
fbem-25626	134	10	that	that	SCONJ
fbem-25626	134	11	arima	arima	PROPN
fbem-25626	134	12	(	(	PUNCT
fbem-25626	134	13	1	1	NUM
fbem-25626	134	14	,	,	PUNCT
fbem-25626	134	15	0	0	NUM
fbem-25626	134	16	,	,	PUNCT
fbem-25626	134	17	2	2	NUM
fbem-25626	134	18	)	)	PUNCT
fbem-25626	134	19	was	be	AUX
fbem-25626	134	20	used	use	VERB
fbem-25626	134	21	for	for	ADP
fbem-25626	134	22	sample	sample	NOUN
fbem-25626	134	23	fitting	fitting	ADJ
fbem-25626	134	24	.	.	PUNCT
fbem-25626	135	1	using	use	VERB
fbem-25626	135	2	stata	stata	NOUN
fbem-25626	135	3	econometrics	econometrics	NOUN
fbem-25626	135	4	software	software	NOUN
fbem-25626	135	5	,	,	PUNCT
fbem-25626	135	6	the	the	DET
fbem-25626	135	7	parameter	parameter	NOUN
fbem-25626	135	8	values	value	NOUN
fbem-25626	135	9	of	of	ADP
fbem-25626	135	10	the	the	DET
fbem-25626	135	11	model	model	NOUN
fbem-25626	135	12	can	can	AUX
fbem-25626	135	13	be	be	AUX
fbem-25626	135	14	calculated	calculate	VERB
fbem-25626	135	15	as	as	SCONJ
fbem-25626	135	16	shown	show	VERB
fbem-25626	135	17	in	in	ADP
fbem-25626	135	18	table	table	NOUN
fbem-25626	135	19	1	1	NUM
fbem-25626	135	20	,	,	PUNCT
fbem-25626	135	21	with	with	ADP
fbem-25626	135	22	the	the	DET
fbem-25626	135	23	coefficients	coefficient	NOUN
fbem-25626	135	24	of	of	ADP
fbem-25626	135	25	ar	ar	NOUN
fbem-25626	135	26	(	(	PUNCT
fbem-25626	135	27	1	1	X
fbem-25626	135	28	)	)	PUNCT
fbem-25626	135	29	being	be	AUX
fbem-25626	135	30	significant	significant	ADJ
fbem-25626	135	31	at	at	ADP
fbem-25626	135	32	the	the	DET
fbem-25626	135	33	1	1	NUM
fbem-25626	135	34	%	%	NOUN
fbem-25626	135	35	level	level	NOUN
fbem-25626	135	36	and	and	CCONJ
fbem-25626	135	37	ma	ma	PROPN
fbem-25626	135	38	(	(	PUNCT
fbem-25626	135	39	2	2	X
fbem-25626	135	40	)	)	PUNCT
fbem-25626	135	41	being	be	AUX
fbem-25626	135	42	significant	significant	ADJ
fbem-25626	135	43	at	at	ADP
fbem-25626	135	44	the	the	DET
fbem-25626	135	45	5	5	NUM
fbem-25626	135	46	%	%	NOUN
fbem-25626	135	47	level	level	NOUN
fbem-25626	135	48	.	.	PUNCT
fbem-25626	136	1	therefore	therefore	ADV
fbem-25626	136	2	,	,	PUNCT
fbem-25626	136	3	the	the	DET
fbem-25626	136	4	research	research	NOUN
fbem-25626	136	5	of	of	ADP
fbem-25626	136	6	this	this	DET
fbem-25626	136	7	paper	paper	NOUN
fbem-25626	136	8	can	can	AUX
fbem-25626	136	9	establish	establish	VERB
fbem-25626	136	10	the	the	DET
fbem-25626	136	11	forecasting	forecasting	NOUN
fbem-25626	136	12	model	model	NOUN
fbem-25626	136	13	of	of	ADP
fbem-25626	136	14	china	china	PROPN
fbem-25626	136	15	's	's	PART
fbem-25626	136	16	cpi	cpi	PROPN
fbem-25626	136	17	index	index	NOUN
fbem-25626	136	18	as	as	ADP
fbem-25626	136	19	arima	arima	PROPN
fbem-25626	136	20	(	(	PUNCT
fbem-25626	136	21	1	1	NUM
fbem-25626	136	22	,	,	PUNCT
fbem-25626	136	23	0	0	NUM
fbem-25626	136	24	,	,	PUNCT
fbem-25626	136	25	2	2	NUM
fbem-25626	136	26	)	)	PUNCT
fbem-25626	136	27	,	,	PUNCT
fbem-25626	136	28	where	where	SCONJ
fbem-25626	136	29	the	the	DET
fbem-25626	136	30	coefficients	coefficient	NOUN
fbem-25626	136	31	of	of	ADP
fbem-25626	136	32	the	the	DET
fbem-25626	136	33	model	model	NOUN
fbem-25626	136	34	are	be	AUX
fbem-25626	136	35	displayed	display	VERB
fbem-25626	136	36	in	in	ADP
fbem-25626	136	37	table	table	NOUN
fbem-25626	136	38	1	1	NUM
fbem-25626	136	39	.	.	PUNCT
fbem-25626	136	40	table	table	NOUN
fbem-25626	136	41	1	1	NUM
fbem-25626	136	42	.	.	PUNCT
fbem-25626	137	1	arima	arima	PROPN
fbem-25626	137	2	(	(	PUNCT
fbem-25626	137	3	1	1	NUM
fbem-25626	137	4	,	,	PUNCT
fbem-25626	137	5	0	0	NUM
fbem-25626	137	6	,	,	PUNCT
fbem-25626	137	7	2	2	X
fbem-25626	137	8	)	)	PUNCT
fbem-25626	137	9	model	model	NOUN
fbem-25626	137	10	correlation	correlation	NOUN
fbem-25626	137	11	coefficients	coefficient	VERB
fbem-25626	137	12	variable	variable	ADJ
fbem-25626	137	13	coefficient	coefficient	NOUN
fbem-25626	137	14	std	std	NOUN
fbem-25626	137	15	.	.	NOUN
fbem-25626	137	16	error	error	NOUN
fbem-25626	137	17	t	t	NOUN
fbem-25626	137	18	-	-	PUNCT
fbem-25626	137	19	statistic	statistic	NOUN
fbem-25626	137	20	prob	prob	PROPN
fbem-25626	137	21	.	.	PUNCT
fbem-25626	138	1	ar	ar	PROPN
fbem-25626	138	2	(	(	PUNCT
fbem-25626	138	3	1	1	NUM
fbem-25626	138	4	)	)	PUNCT
fbem-25626	138	5	0.7635	0.7635	NUM
fbem-25626	139	1	.0718773	.0718773	NOUN
fbem-25626	139	2	10.62	10.62	NUM
fbem-25626	139	3	0.0000	0.0000	NUM
fbem-25626	139	4	ma	ma	PROPN
fbem-25626	139	5	(	(	PUNCT
fbem-25626	139	6	1	1	NUM
fbem-25626	139	7	)	)	PUNCT
fbem-25626	139	8	-0.6549	-0.6549	NOUN
fbem-25626	139	9	ma	ma	PROPN
fbem-25626	139	10	(	(	PUNCT
fbem-25626	139	11	2	2	NUM
fbem-25626	139	12	)	)	PUNCT
fbem-25626	139	13	-0.3451	-0.3451	VERB
fbem-25626	139	14	0.1726	0.1726	NUM
fbem-25626	139	15	-2.00	-2.00	NUM
fbem-25626	139	16	0.046	0.046	NUM
fbem-25626	140	1	as	as	SCONJ
fbem-25626	140	2	shown	show	VERB
fbem-25626	140	3	in	in	ADP
fbem-25626	140	4	figure	figure	NOUN
fbem-25626	140	5	4	4	NUM
fbem-25626	140	6	,	,	PUNCT
fbem-25626	140	7	the	the	DET
fbem-25626	140	8	model	model	NOUN
fbem-25626	140	9	is	be	AUX
fbem-25626	140	10	very	very	ADV
fbem-25626	140	11	close	close	ADJ
fbem-25626	140	12	to	to	ADP
fbem-25626	140	13	the	the	DET
fbem-25626	140	14	actual	actual	ADJ
fbem-25626	140	15	values	value	NOUN
fbem-25626	140	16	in	in	ADP
fbem-25626	140	17	terms	term	NOUN
fbem-25626	140	18	of	of	ADP
fbem-25626	140	19	fitted	fit	VERB
fbem-25626	140	20	values	value	NOUN
fbem-25626	140	21	,	,	PUNCT
fbem-25626	140	22	which	which	PRON
fbem-25626	140	23	fully	fully	ADV
fbem-25626	140	24	reflects	reflect	VERB
fbem-25626	140	25	the	the	DET
fbem-25626	140	26	trend	trend	NOUN
fbem-25626	140	27	of	of	ADP
fbem-25626	140	28	cpi	cpi	PROPN
fbem-25626	140	29	index	index	NOUN
fbem-25626	140	30	,	,	PUNCT
fbem-25626	140	31	thus	thus	ADV
fbem-25626	140	32	suggesting	suggest	VERB
fbem-25626	140	33	that	that	SCONJ
fbem-25626	140	34	the	the	DET
fbem-25626	140	35	model	model	NOUN
fbem-25626	140	36	exhibits	exhibit	VERB
fbem-25626	140	37	a	a	DET
fbem-25626	140	38	positive	positive	ADJ
fbem-25626	140	39	performance	performance	NOUN
fbem-25626	140	40	in	in	ADP
fbem-25626	140	41	fitting	fitting	ADJ
fbem-25626	140	42	effect	effect	NOUN
fbem-25626	140	43	.	.	PUNCT
fbem-25626	141	1	the	the	DET
fbem-25626	141	2	residual	residual	ADJ
fbem-25626	141	3	series	series	NOUN
fbem-25626	141	4	passes	pass	VERB
fbem-25626	141	5	the	the	DET
fbem-25626	141	6	q	q	NOUN
fbem-25626	141	7	-	-	NOUN
fbem-25626	141	8	test	test	NOUN
fbem-25626	141	9	and	and	CCONJ
fbem-25626	141	10	is	be	AUX
fbem-25626	141	11	a	a	DET
fbem-25626	141	12	white	white	ADJ
fbem-25626	141	13	noise	noise	NOUN
fbem-25626	141	14	series	series	NOUN
fbem-25626	141	15	.	.	PUNCT
fbem-25626	142	1	arima	arima	PROPN
fbem-25626	142	2	method	method	NOUN
fbem-25626	142	3	is	be	AUX
fbem-25626	142	4	an	an	DET
fbem-25626	142	5	effective	effective	ADJ
fbem-25626	142	6	tool	tool	NOUN
fbem-25626	142	7	,	,	PUNCT
fbem-25626	142	8	but	but	CCONJ
fbem-25626	142	9	not	not	PART
fbem-25626	142	10	for	for	ADP
fbem-25626	142	11	nonlinear	nonlinear	ADJ
fbem-25626	142	12	fluctuations	fluctuation	NOUN
fbem-25626	142	13	.	.	PUNCT
fbem-25626	143	1	the	the	DET
fbem-25626	143	2	blue	blue	ADJ
fbem-25626	143	3	line	line	NOUN
fbem-25626	143	4	represents	represent	VERB
fbem-25626	143	5	the	the	DET
fbem-25626	143	6	residuals	residual	NOUN
fbem-25626	143	7	between	between	ADP
fbem-25626	143	8	the	the	DET
fbem-25626	143	9	predicted	predict	VERB
fbem-25626	143	10	values	value	NOUN
fbem-25626	143	11	of	of	ADP
fbem-25626	143	12	the	the	DET
fbem-25626	143	13	arima	arima	PROPN
fbem-25626	143	14	model	model	NOUN
fbem-25626	143	15	and	and	CCONJ
fbem-25626	143	16	the	the	DET
fbem-25626	143	17	actual	actual	ADJ
fbem-25626	143	18	values	value	NOUN
fbem-25626	143	19	and	and	CCONJ
fbem-25626	143	20	uses	use	VERB
fbem-25626	143	21	it	it	PRON
fbem-25626	143	22	as	as	ADP
fbem-25626	143	23	test	test	NOUN
fbem-25626	143	24	data	datum	NOUN
fbem-25626	143	25	for	for	ADP
fbem-25626	143	26	the	the	DET
fbem-25626	143	27	lstm	lstm	PROPN
fbem-25626	143	28	model	model	PROPN
fbem-25626	143	29	.	.	PUNCT
fbem-25626	144	1	figure	figure	NOUN
fbem-25626	144	2	5	5	NUM
fbem-25626	144	3	.	.	PUNCT
fbem-25626	145	1	arima	arima	PROPN
fbem-25626	145	2	(	(	PUNCT
fbem-25626	145	3	1	1	NUM
fbem-25626	145	4	,	,	PUNCT
fbem-25626	145	5	0	0	NUM
fbem-25626	145	6	,	,	PUNCT
fbem-25626	145	7	2	2	X
fbem-25626	145	8	)	)	PUNCT
fbem-25626	145	9	model	model	NOUN
fbem-25626	145	10	fitted	fit	VERB
fbem-25626	145	11	values	value	NOUN
fbem-25626	145	12	,	,	PUNCT
fbem-25626	145	13	true	true	ADJ
fbem-25626	145	14	values	value	NOUN
fbem-25626	145	15	,	,	PUNCT
fbem-25626	145	16	and	and	CCONJ
fbem-25626	145	17	residual	residual	ADJ
fbem-25626	145	18	series	series	NOUN
fbem-25626	145	19	3.3	3.3	NUM
fbem-25626	145	20	.	.	PUNCT
fbem-25626	146	1	lstm	lstm	NOUN
fbem-25626	146	2	model	model	PROPN
fbem-25626	146	3	fitting	fit	VERB
fbem-25626	146	4	the	the	DET
fbem-25626	146	5	nonlinear	nonlinear	ADJ
fbem-25626	146	6	component	component	NOUN
fbem-25626	146	7	in	in	ADP
fbem-25626	146	8	order	order	NOUN
fbem-25626	146	9	to	to	PART
fbem-25626	146	10	find	find	VERB
fbem-25626	146	11	the	the	DET
fbem-25626	146	12	nonlinear	nonlinear	ADJ
fbem-25626	146	13	relationship	relationship	NOUN
fbem-25626	146	14	of	of	ADP
fbem-25626	146	15	cpi	cpi	PROPN
fbem-25626	146	16	,	,	PUNCT
fbem-25626	146	17	the	the	DET
fbem-25626	146	18	lstm	lstm	PROPN
fbem-25626	146	19	model	model	NOUN
fbem-25626	146	20	was	be	AUX
fbem-25626	146	21	developed	develop	VERB
fbem-25626	146	22	.	.	PUNCT
fbem-25626	147	1	in	in	ADP
fbem-25626	147	2	the	the	DET
fbem-25626	147	3	arima	arima	NOUN
fbem-25626	147	4	-	-	PUNCT
fbem-25626	147	5	lstm	lstm	NOUN
fbem-25626	147	6	hybrid	hybrid	NOUN
fbem-25626	147	7	model	model	NOUN
fbem-25626	147	8	,	,	PUNCT
fbem-25626	147	9	the	the	DET
fbem-25626	147	10	lstm	lstm	PROPN
fbem-25626	147	11	network	network	NOUN
fbem-25626	147	12	is	be	AUX
fbem-25626	147	13	fed	feed	VERB
fbem-25626	147	14	exclusively	exclusively	ADV
fbem-25626	147	15	with	with	ADP
fbem-25626	147	16	the	the	DET
fbem-25626	147	17	residuals	residual	NOUN
fbem-25626	147	18	obtained	obtain	VERB
fbem-25626	147	19	from	from	ADP
fbem-25626	147	20	the	the	DET
fbem-25626	147	21	arima	arima	PROPN
fbem-25626	147	22	model	model	NOUN
fbem-25626	147	23	.	.	PUNCT
fbem-25626	148	1	we	we	PRON
fbem-25626	148	2	predicted	predict	VERB
fbem-25626	148	3	the	the	DET
fbem-25626	148	4	cpi	cpi	PROPN
fbem-25626	148	5	value	value	NOUN
fbem-25626	148	6	of	of	ADP
fbem-25626	148	7	the	the	DET
fbem-25626	148	8	day	day	NOUN
fbem-25626	148	9	from	from	ADP
fbem-25626	148	10	the	the	DET
fbem-25626	148	11	cpi	cpi	PROPN
fbem-25626	148	12	data	datum	NOUN
fbem-25626	148	13	of	of	ADP
fbem-25626	148	14	the	the	DET
fbem-25626	148	15	previous	previous	ADJ
fbem-25626	148	16	seven	seven	NUM
fbem-25626	148	17	months	month	NOUN
fbem-25626	148	18	,	,	PUNCT
fbem-25626	148	19	for	for	ADP
fbem-25626	148	20	example	example	NOUN
fbem-25626	148	21	,	,	PUNCT
fbem-25626	148	22	we	we	PRON
fbem-25626	148	23	predicted	predict	VERB
fbem-25626	148	24	the	the	DET
fbem-25626	148	25	cpi	cpi	PROPN
fbem-25626	148	26	value	value	NOUN
fbem-25626	148	27	of	of	ADP
fbem-25626	148	28	august	august	PROPN
fbem-25626	148	29	based	base	VERB
fbem-25626	148	30	on	on	ADP
fbem-25626	148	31	the	the	DET
fbem-25626	148	32	data	datum	NOUN
fbem-25626	148	33	of	of	ADP
fbem-25626	148	34	january	january	PROPN
fbem-25626	148	35	,	,	PUNCT
fbem-25626	148	36	february	february	PROPN
fbem-25626	148	37	,	,	PUNCT
fbem-25626	148	38	march	march	PROPN
fbem-25626	148	39	,	,	PUNCT
fbem-25626	148	40	april	april	PROPN
fbem-25626	148	41	,	,	PUNCT
fbem-25626	148	42	may	may	PROPN
fbem-25626	148	43	,	,	PUNCT
fbem-25626	148	44	june	june	PROPN
fbem-25626	148	45	,	,	PUNCT
fbem-25626	148	46	and	and	CCONJ
fbem-25626	148	47	july	july	PROPN
fbem-25626	148	48	.	.	PUNCT
fbem-25626	149	1	the	the	DET
fbem-25626	149	2	learning	learning	NOUN
fbem-25626	149	3	rate	rate	NOUN
fbem-25626	149	4	is	be	AUX
fbem-25626	149	5	configured	configure	VERB
fbem-25626	149	6	at	at	ADP
fbem-25626	149	7	0.009	0.009	NUM
fbem-25626	149	8	,	,	PUNCT
fbem-25626	149	9	and	and	CCONJ
fbem-25626	149	10	the	the	DET
fbem-25626	149	11	iteration	iteration	NOUN
fbem-25626	149	12	count	count	NOUN
fbem-25626	149	13	is	be	AUX
fbem-25626	149	14	set	set	VERB
fbem-25626	149	15	to	to	ADP
fbem-25626	149	16	250	250	NUM
fbem-25626	149	17	.	.	PUNCT
fbem-25626	150	1	the	the	DET
fbem-25626	150	2	loss	loss	NOUN
fbem-25626	150	3	function	function	NOUN
fbem-25626	150	4	is	be	AUX
fbem-25626	150	5	determined	determine	VERB
fbem-25626	150	6	by	by	ADP
fbem-25626	150	7	employing	employ	VERB
fbem-25626	150	8	the	the	DET
fbem-25626	150	9	smooth	smooth	ADJ
fbem-25626	150	10	l1	l1	PROPN
fbem-25626	150	11	loss	loss	NOUN
fbem-25626	150	12	function	function	NOUN
fbem-25626	150	13	for	for	ADP
fbem-25626	150	14	computation	computation	NOUN
fbem-25626	150	15	.	.	PUNCT
fbem-25626	151	1	the	the	DET
fbem-25626	151	2	smoothed	smooth	VERB
fbem-25626	151	3	loss	loss	NOUN
fbem-25626	151	4	function	function	NOUN
fbem-25626	151	5	l1	l1	PROPN
fbem-25626	151	6	,	,	PUNCT
fbem-25626	151	7	also	also	ADV
fbem-25626	151	8	known	know	VERB
fbem-25626	151	9	as	as	ADP
fbem-25626	151	10	the	the	DET
fbem-25626	151	11	absolute	absolute	ADJ
fbem-25626	151	12	value	value	NOUN
fbem-25626	151	13	loss	loss	NOUN
fbem-25626	151	14	function	function	NOUN
fbem-25626	151	15	,	,	PUNCT
fbem-25626	151	16	serves	serve	VERB
fbem-25626	151	17	as	as	ADP
fbem-25626	151	18	a	a	DET
fbem-25626	151	19	frequently	frequently	ADV
fbem-25626	151	20	utilized	utilize	VERB
fbem-25626	151	21	function	function	NOUN
fbem-25626	151	22	in	in	ADP
fbem-25626	151	23	addressing	address	VERB
fbem-25626	151	24	regression	regression	NOUN
fbem-25626	151	25	issues	issue	NOUN
fbem-25626	151	26	.	.	PUNCT
fbem-25626	152	1	it	it	PRON
fbem-25626	152	2	measures	measure	VERB
fbem-25626	152	3	the	the	DET
fbem-25626	152	4	error	error	NOUN
fbem-25626	152	5	of	of	ADP
fbem-25626	152	6	the	the	DET
fbem-25626	152	7	model	model	NOUN
fbem-25626	152	8	by	by	ADP
fbem-25626	152	9	calculating	calculate	VERB
fbem-25626	152	10	the	the	DET
fbem-25626	152	11	absolute	absolute	ADJ
fbem-25626	152	12	difference	difference	NOUN
fbem-25626	152	13	between	between	ADP
fbem-25626	152	14	the	the	DET
fbem-25626	152	15	forecasted	forecast	VERB
fbem-25626	152	16	outcome	outcome	NOUN
fbem-25626	152	17	and	and	CCONJ
fbem-25626	152	18	the	the	DET
fbem-25626	152	19	target	target	NOUN
fbem-25626	152	20	value	value	NOUN
fbem-25626	152	21	.	.	PUNCT
fbem-25626	153	1	the	the	DET
fbem-25626	153	2	expression	expression	NOUN
fbem-25626	153	3	for	for	ADP
fbem-25626	153	4	the	the	DET
fbem-25626	153	5	smoothing	smooth	VERB
fbem-25626	153	6	loss	loss	NOUN
fbem-25626	153	7	function	function	NOUN
fbem-25626	153	8	l1	l1	PROPN
fbem-25626	153	9	is	be	AUX
fbem-25626	153	10	:	:	PUNCT
fbem-25626	153	11	𝑳(𝒚	𝑳(𝒚	PROPN
fbem-25626	153	12	,	,	PUNCT
fbem-25626	153	13	�	�	PROPN
fbem-25626	153	14	̂	̂	NOUN
fbem-25626	153	15	�	�	NOUN
fbem-25626	153	16	)	)	PUNCT
fbem-25626	153	17	=	=	NOUN
fbem-25626	153	18	|𝒚	|𝒚	ADP
fbem-25626	153	19	−	−	PROPN
fbem-25626	153	20	�	�	PROPN
fbem-25626	153	21	̂	̂	NOUN
fbem-25626	153	22	�	�	NOUN
fbem-25626	153	23	|	|	ADV
fbem-25626	153	24	where	where	SCONJ
fbem-25626	153	25	𝑦	𝑦	NOUN
fbem-25626	153	26	denotes	denote	VERB
fbem-25626	153	27	the	the	DET
fbem-25626	153	28	desired	desire	VERB
fbem-25626	153	29	outcome	outcome	NOUN
fbem-25626	153	30	and	and	CCONJ
fbem-25626	153	31	�	�	PROPN
fbem-25626	153	32	̂	̂	VERB
fbem-25626	153	33	�	�	NOUN
fbem-25626	153	34	signifies	signify	VERB
fbem-25626	153	35	the	the	DET
fbem-25626	153	36	model	model	NOUN
fbem-25626	153	37	's	's	PART
fbem-25626	153	38	estimated	estimate	VERB
fbem-25626	153	39	outcome	outcome	NOUN
fbem-25626	153	40	.	.	PUNCT
fbem-25626	154	1	l1	l1	PROPN
fbem-25626	154	2	smoothing	smooth	VERB
fbem-25626	154	3	loss	loss	NOUN
fbem-25626	154	4	function	function	NOUN
fbem-25626	154	5	compared	compare	VERB
fbem-25626	154	6	to	to	ADP
fbem-25626	154	7	other	other	ADJ
fbem-25626	154	8	common	common	ADJ
fbem-25626	154	9	loss	loss	NOUN
fbem-25626	154	10	functions	function	NOUN
fbem-25626	154	11	(	(	PUNCT
fbem-25626	154	12	e.g.	e.g.	ADV
fbem-25626	154	13	mean	mean	VERB
fbem-25626	154	14	square	square	ADJ
fbem-25626	154	15	error	error	NOUN
fbem-25626	154	16	)	)	PUNCT
fbem-25626	154	17	,	,	PUNCT
fbem-25626	154	18	l1	l1	PROPN
fbem-25626	154	19	loss	loss	NOUN
fbem-25626	154	20	has	have	VERB
fbem-25626	154	21	better	well	ADJ
fbem-25626	154	22	robustness	robustness	NOUN
fbem-25626	154	23	to	to	ADP
fbem-25626	154	24	outliers	outlier	NOUN
fbem-25626	154	25	and	and	CCONJ
fbem-25626	154	26	outliers	outlier	NOUN
fbem-25626	154	27	.	.	PUNCT
fbem-25626	155	1	since	since	SCONJ
fbem-25626	155	2	the	the	DET
fbem-25626	155	3	l1	l1	PROPN
fbem-25626	155	4	loss	loss	NOUN
fbem-25626	155	5	uses	use	VERB
fbem-25626	155	6	absolute	absolute	ADJ
fbem-25626	155	7	differences	difference	NOUN
fbem-25626	155	8	,	,	PUNCT
fbem-25626	155	9	outliers	outlier	NOUN
fbem-25626	155	10	have	have	VERB
fbem-25626	155	11	less	less	ADJ
fbem-25626	155	12	influence	influence	NOUN
fbem-25626	155	13	on	on	ADP
fbem-25626	155	14	the	the	DET
fbem-25626	155	15	l1	l1	PROPN
fbem-25626	155	16	loss	loss	NOUN
fbem-25626	155	17	,	,	PUNCT
fbem-25626	155	18	making	make	VERB
fbem-25626	155	19	the	the	DET
fbem-25626	155	20	model	model	NOUN
fbem-25626	155	21	better	well	ADV
fbem-25626	155	22	adaptable	adaptable	ADJ
fbem-25626	155	23	to	to	PART
fbem-25626	155	24	noise	noise	NOUN
fbem-25626	155	25	and	and	CCONJ
fbem-25626	155	26	outliers	outlier	NOUN
fbem-25626	155	27	;	;	PUNCT
fbem-25626	155	28	-0	-0	PUNCT
fbem-25626	155	29	.2	.2	NUM
fbem-25626	155	30	0	0	NUM
fbem-25626	155	31	0	0	NUM
fbem-25626	155	32	.0	.0	NUM
fbem-25626	155	33	0	0	NUM
fbem-25626	155	34	0	0	NUM
fbem-25626	156	1	.2	.2	NUM
fbem-25626	156	2	0	0	NUM
fbem-25626	156	3	0	0	NUM
fbem-25626	157	1	.4	.4	NUM
fbem-25626	157	2	0	0	NUM
fbem-25626	158	1	p	p	PRON
fbem-25626	158	2	a	a	DET
fbem-25626	158	3	rt	rt	PROPN
fbem-25626	158	4	ia	ia	PROPN
fbem-25626	158	5	l	l	PROPN
fbem-25626	158	6	a	a	DET
fbem-25626	158	7	u	u	NOUN
fbem-25626	158	8	to	to	ADP
fbem-25626	158	9	c	c	PROPN
fbem-25626	158	10	o	o	NOUN
fbem-25626	158	11	rr	rr	X
fbem-25626	158	12	e	e	X
fbem-25626	158	13	la	la	X
fbem-25626	158	14	ti	ti	PROPN
fbem-25626	158	15	o	o	NOUN
fbem-25626	158	16	n	n	PROPN
fbem-25626	158	17	s	s	NOUN
fbem-25626	158	18	o	o	X
fbem-25626	158	19	f	f	X
fbem-25626	158	20	c	c	NOUN
fbem-25626	158	21	p	p	X
fbem-25626	159	1	i	i	PROPN
fbem-25626	159	2	0	0	NUM
fbem-25626	159	3	10	10	NUM
fbem-25626	159	4	20	20	NUM
fbem-25626	159	5	30	30	NUM
fbem-25626	159	6	40	40	NUM
fbem-25626	159	7	lag	lag	NOUN
fbem-25626	159	8	95	95	NUM
fbem-25626	159	9	%	%	NOUN
fbem-25626	159	10	confidence	confidence	NOUN
fbem-25626	159	11	bands	band	NOUN
fbem-25626	159	12	[	[	X
fbem-25626	159	13	se	se	X
fbem-25626	159	14	=	=	SYM
fbem-25626	159	15	1	1	NUM
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fbem-25626	159	17	sqrt(n	sqrt(n	PROPN
fbem-25626	159	18	)	)	PUNCT
fbem-25626	159	19	]	]	PUNCT
fbem-25626	160	1	-0	-0	PUNCT
fbem-25626	161	1	.2	.2	NUM
fbem-25626	161	2	0	0	NUM
fbem-25626	161	3	0	0	NUM
fbem-25626	162	1	.0	.0	NUM
fbem-25626	162	2	0	0	NUM
fbem-25626	162	3	0	0	NUM
fbem-25626	163	1	.2	.2	NUM
fbem-25626	163	2	0	0	NUM
fbem-25626	163	3	0	0	NUM
fbem-25626	164	1	.4	.4	NUM
fbem-25626	164	2	0	0	NUM
fbem-25626	165	1	p	p	PRON
fbem-25626	165	2	a	a	DET
fbem-25626	165	3	rt	rt	PROPN
fbem-25626	165	4	ia	ia	PROPN
fbem-25626	165	5	l	l	PROPN
fbem-25626	165	6	a	a	DET
fbem-25626	165	7	u	u	NOUN
fbem-25626	165	8	to	to	ADP
fbem-25626	165	9	c	c	PROPN
fbem-25626	165	10	o	o	NOUN
fbem-25626	165	11	rr	rr	X
fbem-25626	165	12	e	e	X
fbem-25626	165	13	la	la	X
fbem-25626	165	14	ti	ti	PROPN
fbem-25626	165	15	o	o	NOUN
fbem-25626	165	16	n	n	PROPN
fbem-25626	165	17	s	s	NOUN
fbem-25626	165	18	o	o	X
fbem-25626	165	19	f	f	X
fbem-25626	165	20	c	c	NOUN
fbem-25626	165	21	p	p	X
fbem-25626	166	1	i	i	PROPN
fbem-25626	166	2	0	0	NUM
fbem-25626	166	3	10	10	NUM
fbem-25626	166	4	20	20	NUM
fbem-25626	166	5	30	30	NUM
fbem-25626	166	6	40	40	NUM
fbem-25626	166	7	lag	lag	NOUN
fbem-25626	166	8	95	95	NUM
fbem-25626	166	9	%	%	NOUN
fbem-25626	166	10	confidence	confidence	NOUN
fbem-25626	166	11	bands	band	NOUN
fbem-25626	166	12	[	[	X
fbem-25626	166	13	se	se	X
fbem-25626	166	14	=	=	SYM
fbem-25626	166	15	1	1	NUM
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fbem-25626	166	17	sqrt(n	sqrt(n	PROPN
fbem-25626	166	18	)	)	PUNCT
fbem-25626	166	19	]	]	PUNCT
fbem-25626	167	1	-2	-2	INTJ
fbem-25626	168	1	-1	-1	SYM
fbem-25626	168	2	0	0	NUM
fbem-25626	169	1	1	1	NUM
fbem-25626	169	2	2	2	NUM
fbem-25626	169	3	9	9	NUM
fbem-25626	169	4	9	9	NUM
fbem-25626	169	5	9	9	NUM
fbem-25626	169	6	9	9	NUM
fbem-25626	169	7	.5	.5	NUM
fbem-25626	169	8	1	1	NUM
fbem-25626	169	9	0	0	NUM
fbem-25626	169	10	0	0	NUM
fbem-25626	169	11	1	1	NUM
fbem-25626	169	12	0	0	NUM
fbem-25626	169	13	0	0	NUM
fbem-25626	169	14	.5	.5	NUM
fbem-25626	169	15	1	1	NUM
fbem-25626	169	16	0	0	NUM
fbem-25626	169	17	1	1	NUM
fbem-25626	169	18	1	1	NUM
fbem-25626	169	19	0	0	NUM
fbem-25626	169	20	1	1	NUM
fbem-25626	169	21	.5	.5	NUM
fbem-25626	169	22	01/2016	01/2016	NUM
fbem-25626	169	23	08/2017	08/2017	NOUN
fbem-25626	169	24	04/2019	04/2019	NUM
fbem-25626	170	1	12/2020	12/2020	NUM
fbem-25626	170	2	08/2022	08/2022	NOUN
fbem-25626	170	3	residual	residual	ADJ
fbem-25626	170	4	actual	actual	ADJ
fbem-25626	170	5	fitted	fit	VERB
fbem-25626	170	6	269	269	NUM
fbem-25626	170	7	the	the	DET
fbem-25626	170	8	l1	l1	PROPN
fbem-25626	170	9	loss	loss	NOUN
fbem-25626	170	10	has	have	VERB
fbem-25626	170	11	a	a	DET
fbem-25626	170	12	linear	linear	ADJ
fbem-25626	170	13	gradient	gradient	NOUN
fbem-25626	170	14	at	at	ADP
fbem-25626	170	15	the	the	DET
fbem-25626	170	16	origin	origin	NOUN
fbem-25626	170	17	,	,	PUNCT
fbem-25626	170	18	which	which	PRON
fbem-25626	170	19	means	mean	VERB
fbem-25626	170	20	that	that	SCONJ
fbem-25626	170	21	the	the	DET
fbem-25626	170	22	response	response	NOUN
fbem-25626	170	23	of	of	ADP
fbem-25626	170	24	the	the	DET
fbem-25626	170	25	l1	l1	PROPN
fbem-25626	170	26	loss	loss	NOUN
fbem-25626	170	27	to	to	PART
fbem-25626	170	28	parameter	parameter	NOUN
fbem-25626	170	29	tuning	tuning	NOUN
fbem-25626	170	30	remains	remain	VERB
fbem-25626	170	31	consistent	consistent	ADJ
fbem-25626	170	32	over	over	ADP
fbem-25626	170	33	different	different	ADJ
fbem-25626	170	34	prediction	prediction	NOUN
fbem-25626	170	35	error	error	NOUN
fbem-25626	170	36	ranges	range	NOUN
fbem-25626	170	37	.	.	PUNCT
fbem-25626	171	1	this	this	DET
fbem-25626	171	2	property	property	NOUN
fbem-25626	171	3	helps	help	VERB
fbem-25626	171	4	the	the	DET
fbem-25626	171	5	optimization	optimization	NOUN
fbem-25626	171	6	algorithm	algorithm	NOUN
fbem-25626	171	7	to	to	PART
fbem-25626	171	8	converge	converge	VERB
fbem-25626	171	9	better	well	ADV
fbem-25626	171	10	and	and	CCONJ
fbem-25626	171	11	reduces	reduce	VERB
fbem-25626	171	12	the	the	DET
fbem-25626	171	13	risk	risk	NOUN
fbem-25626	171	14	of	of	ADP
fbem-25626	171	15	overfitting	overfitting	NOUN
fbem-25626	171	16	;	;	PUNCT
fbem-25626	171	17	moreover	moreover	ADV
fbem-25626	171	18	,	,	PUNCT
fbem-25626	171	19	the	the	DET
fbem-25626	171	20	relationship	relationship	NOUN
fbem-25626	171	21	between	between	ADP
fbem-25626	171	22	the	the	DET
fbem-25626	171	23	form	form	NOUN
fbem-25626	171	24	of	of	ADP
fbem-25626	171	25	the	the	DET
fbem-25626	171	26	l1	l1	PROPN
fbem-25626	171	27	loss	loss	NOUN
fbem-25626	171	28	and	and	CCONJ
fbem-25626	171	29	the	the	DET
fbem-25626	171	30	absolute	absolute	ADJ
fbem-25626	171	31	value	value	NOUN
fbem-25626	171	32	is	be	AUX
fbem-25626	171	33	intuitively	intuitively	ADV
fbem-25626	171	34	easy	easy	ADJ
fbem-25626	171	35	to	to	PART
fbem-25626	171	36	understand	understand	VERB
fbem-25626	171	37	.	.	PUNCT
fbem-25626	172	1	it	it	PRON
fbem-25626	172	2	directly	directly	ADV
fbem-25626	172	3	measures	measure	VERB
fbem-25626	172	4	the	the	DET
fbem-25626	172	5	absolute	absolute	ADJ
fbem-25626	172	6	difference	difference	NOUN
fbem-25626	172	7	between	between	ADP
fbem-25626	172	8	the	the	DET
fbem-25626	172	9	objective	objective	ADJ
fbem-25626	172	10	value	value	NOUN
fbem-25626	172	11	and	and	CCONJ
fbem-25626	172	12	the	the	DET
fbem-25626	172	13	premean	premean	NOUN
fbem-25626	172	14	,	,	PUNCT
fbem-25626	172	15	which	which	PRON
fbem-25626	172	16	is	be	AUX
fbem-25626	172	17	more	more	ADJ
fbem-25626	172	18	in	in	ADP
fbem-25626	172	19	line	line	NOUN
fbem-25626	172	20	with	with	ADP
fbem-25626	172	21	the	the	DET
fbem-25626	172	22	interpretation	interpretation	NOUN
fbem-25626	172	23	of	of	ADP
fbem-25626	172	24	errors	error	NOUN
fbem-25626	172	25	in	in	ADP
fbem-25626	172	26	some	some	DET
fbem-25626	172	27	practical	practical	ADJ
fbem-25626	172	28	problems	problem	NOUN
fbem-25626	172	29	.	.	PUNCT
fbem-25626	173	1	as	as	SCONJ
fbem-25626	173	2	depicted	depict	VERB
fbem-25626	173	3	in	in	ADP
fbem-25626	173	4	figure	figure	NOUN
fbem-25626	173	5	5	5	NUM
fbem-25626	173	6	,	,	PUNCT
fbem-25626	173	7	the	the	DET
fbem-25626	173	8	function	function	NOUN
fbem-25626	173	9	loss	loss	NOUN
fbem-25626	173	10	rate	rate	NOUN
fbem-25626	173	11	of	of	ADP
fbem-25626	173	12	the	the	DET
fbem-25626	173	13	lstm	lstm	PROPN
fbem-25626	173	14	network	network	NOUN
fbem-25626	173	15	for	for	ADP
fbem-25626	173	16	the	the	DET
fbem-25626	173	17	residual	residual	ADJ
fbem-25626	173	18	sequence	sequence	NOUN
fbem-25626	173	19	is	be	AUX
fbem-25626	173	20	relatively	relatively	ADV
fbem-25626	173	21	low	low	ADJ
fbem-25626	173	22	,	,	PUNCT
fbem-25626	173	23	and	and	CCONJ
fbem-25626	173	24	the	the	DET
fbem-25626	173	25	fitted	fit	VERB
fbem-25626	173	26	values	value	NOUN
fbem-25626	173	27	also	also	ADV
fbem-25626	173	28	highly	highly	ADV
fbem-25626	173	29	overlap	overlap	NOUN
fbem-25626	173	30	with	with	ADP
fbem-25626	173	31	the	the	DET
fbem-25626	173	32	actual	actual	ADJ
fbem-25626	173	33	values	value	NOUN
fbem-25626	173	34	,	,	PUNCT
fbem-25626	173	35	this	this	PRON
fbem-25626	173	36	suggests	suggest	VERB
fbem-25626	173	37	that	that	SCONJ
fbem-25626	173	38	the	the	DET
fbem-25626	173	39	model	model	NOUN
fbem-25626	173	40	possesses	possess	VERB
fbem-25626	173	41	a	a	DET
fbem-25626	173	42	high	high	ADJ
fbem-25626	173	43	fitting	fitting	ADJ
fbem-25626	173	44	accuracy	accuracy	NOUN
fbem-25626	173	45	.	.	PUNCT
fbem-25626	174	1	figure	figure	NOUN
fbem-25626	174	2	6	6	NUM
fbem-25626	174	3	.	.	PUNCT
fbem-25626	174	4	residual	residual	ADJ
fbem-25626	174	5	series	series	NOUN
fbem-25626	174	6	loss	loss	NOUN
fbem-25626	174	7	function	function	NOUN
fbem-25626	174	8	and	and	CCONJ
fbem-25626	174	9	fitted	fit	VERB
fbem-25626	174	10	values	value	NOUN
fbem-25626	174	11	vs.	vs.	ADP
fbem-25626	174	12	true	true	ADJ
fbem-25626	174	13	values	value	NOUN
fbem-25626	174	14	as	as	SCONJ
fbem-25626	174	15	shown	show	VERB
fbem-25626	174	16	in	in	ADP
fbem-25626	174	17	table	table	NOUN
fbem-25626	174	18	2	2	NUM
fbem-25626	174	19	,	,	PUNCT
fbem-25626	174	20	taken	take	VERB
fbem-25626	174	21	together	together	ADV
fbem-25626	174	22	,	,	PUNCT
fbem-25626	174	23	the	the	DET
fbem-25626	174	24	lstm	lstm	PROPN
fbem-25626	174	25	model	model	NOUN
fbem-25626	174	26	performs	perform	VERB
fbem-25626	174	27	well	well	ADV
fbem-25626	174	28	in	in	ADP
fbem-25626	174	29	fitting	fit	VERB
fbem-25626	174	30	the	the	DET
fbem-25626	174	31	residual	residual	ADJ
fbem-25626	174	32	series	series	NOUN
fbem-25626	174	33	,	,	PUNCT
fbem-25626	174	34	especially	especially	ADV
fbem-25626	174	35	in	in	ADP
fbem-25626	174	36	terms	term	NOUN
fbem-25626	174	37	of	of	ADP
fbem-25626	174	38	mae	mae	PROPN
fbem-25626	174	39	and	and	CCONJ
fbem-25626	174	40	rmse	rmse	PROPN
fbem-25626	174	41	,	,	PUNCT
fbem-25626	174	42	showing	show	VERB
fbem-25626	174	43	a	a	DET
fbem-25626	174	44	small	small	ADJ
fbem-25626	174	45	prediction	prediction	NOUN
fbem-25626	174	46	error	error	NOUN
fbem-25626	174	47	.	.	PUNCT
fbem-25626	174	48	table	table	NOUN
fbem-25626	175	1	2	2	NUM
fbem-25626	175	2	.	.	PUNCT
fbem-25626	175	3	comprehensive	comprehensive	ADJ
fbem-25626	175	4	evaluation	evaluation	NOUN
fbem-25626	175	5	metrics	metric	NOUN
fbem-25626	175	6	for	for	ADP
fbem-25626	175	7	residual	residual	ADJ
fbem-25626	175	8	sequence	sequence	NOUN
fbem-25626	175	9	fitting	fit	VERB
fbem-25626	175	10	in	in	ADP
fbem-25626	175	11	lstm	lstm	PROPN
fbem-25626	175	12	networks	network	NOUN
fbem-25626	175	13	comprehensive	comprehensive	ADJ
fbem-25626	175	14	evaluation	evaluation	NOUN
fbem-25626	175	15	index	index	NOUN
fbem-25626	175	16	value	value	NOUN
fbem-25626	175	17	mae	mae	PROPN
fbem-25626	175	18	0.1257	0.1257	NUM
fbem-25626	175	19	mse	mse	NOUN
fbem-25626	175	20	0.3780	0.3780	NUM
fbem-25626	175	21	rmse	rmse	NOUN
fbem-25626	175	22	0.1944	0.1944	NUM
fbem-25626	175	23	mape	mape	NOUN
fbem-25626	175	24	0.8414	0.8414	NUM
fbem-25626	175	25	4	4	NUM
fbem-25626	175	26	.	.	PUNCT
fbem-25626	175	27	analysis	analysis	NOUN
fbem-25626	175	28	of	of	ADP
fbem-25626	175	29	results	result	NOUN
fbem-25626	175	30	in	in	ADP
fbem-25626	175	31	addition	addition	NOUN
fbem-25626	175	32	,	,	PUNCT
fbem-25626	175	33	when	when	SCONJ
fbem-25626	175	34	using	use	VERB
fbem-25626	175	35	the	the	DET
fbem-25626	175	36	arima	arima	NOUN
fbem-25626	175	37	-	-	PUNCT
fbem-25626	175	38	lstm	lstm	PROPN
fbem-25626	175	39	model	model	NOUN
fbem-25626	175	40	,	,	PUNCT
fbem-25626	175	41	the	the	DET
fbem-25626	175	42	residual	residual	ADJ
fbem-25626	175	43	sequence	sequence	NOUN
fbem-25626	175	44	fitting	fitting	ADJ
fbem-25626	175	45	values	value	NOUN
fbem-25626	175	46	obtained	obtain	VERB
fbem-25626	175	47	from	from	ADP
fbem-25626	175	48	the	the	DET
fbem-25626	175	49	lstm	lstm	PROPN
fbem-25626	175	50	model	model	NOUN
fbem-25626	175	51	are	be	AUX
fbem-25626	175	52	added	add	VERB
fbem-25626	175	53	to	to	ADP
fbem-25626	175	54	the	the	DET
fbem-25626	175	55	linear	linear	ADJ
fbem-25626	175	56	parts	part	NOUN
fbem-25626	175	57	obtained	obtain	VERB
fbem-25626	175	58	from	from	ADP
fbem-25626	175	59	the	the	DET
fbem-25626	175	60	arima	arima	PROPN
fbem-25626	175	61	model	model	NOUN
fbem-25626	175	62	and	and	CCONJ
fbem-25626	175	63	the	the	DET
fbem-25626	175	64	final	final	ADJ
fbem-25626	175	65	prediction	prediction	NOUN
fbem-25626	175	66	result	result	NOUN
fbem-25626	175	67	can	can	AUX
fbem-25626	175	68	be	be	AUX
fbem-25626	175	69	obtained	obtain	VERB
fbem-25626	175	70	.	.	PUNCT
fbem-25626	176	1	it	it	PRON
fbem-25626	176	2	can	can	AUX
fbem-25626	176	3	be	be	AUX
fbem-25626	176	4	observed	observe	VERB
fbem-25626	176	5	through	through	ADP
fbem-25626	176	6	figure	figure	NOUN
fbem-25626	176	7	6	6	NUM
fbem-25626	176	8	that	that	SCONJ
fbem-25626	176	9	the	the	DET
fbem-25626	176	10	fitted	fit	VERB
fbem-25626	176	11	values	value	NOUN
fbem-25626	176	12	of	of	ADP
fbem-25626	176	13	the	the	DET
fbem-25626	176	14	arima	arima	NOUN
fbem-25626	176	15	-	-	PUNCT
fbem-25626	176	16	lstm	lstm	PROPN
fbem-25626	176	17	model	model	NOUN
fbem-25626	176	18	are	be	AUX
fbem-25626	176	19	nearly	nearly	ADV
fbem-25626	176	20	identical	identical	ADJ
fbem-25626	176	21	to	to	ADP
fbem-25626	176	22	the	the	DET
fbem-25626	176	23	actual	actual	ADJ
fbem-25626	176	24	values	value	NOUN
fbem-25626	176	25	and	and	CCONJ
fbem-25626	176	26	completely	completely	ADV
fbem-25626	176	27	reflect	reflect	VERB
fbem-25626	176	28	the	the	DET
fbem-25626	176	29	trend	trend	NOUN
fbem-25626	176	30	of	of	ADP
fbem-25626	176	31	the	the	DET
fbem-25626	176	32	cpi	cpi	PROPN
fbem-25626	176	33	index	index	NOUN
fbem-25626	176	34	,	,	PUNCT
fbem-25626	176	35	which	which	PRON
fbem-25626	176	36	further	far	ADV
fbem-25626	176	37	confirms	confirm	VERB
fbem-25626	176	38	the	the	DET
fbem-25626	176	39	good	good	ADJ
fbem-25626	176	40	fitting	fitting	ADJ
fbem-25626	176	41	effect	effect	NOUN
fbem-25626	176	42	of	of	ADP
fbem-25626	176	43	the	the	DET
fbem-25626	176	44	model	model	NOUN
fbem-25626	176	45	.	.	PUNCT
fbem-25626	177	1	figure	figure	VERB
fbem-25626	177	2	7	7	NUM
fbem-25626	177	3	.	.	PUNCT
fbem-25626	178	1	arima	arima	PROPN
fbem-25626	178	2	-	-	PUNCT
fbem-25626	178	3	lstm	lstm	PROPN
fbem-25626	178	4	model	model	NOUN
fbem-25626	178	5	predicted	predict	VERB
fbem-25626	178	6	and	and	CCONJ
fbem-25626	178	7	true	true	ADJ
fbem-25626	178	8	values	value	NOUN
fbem-25626	178	9	as	as	SCONJ
fbem-25626	178	10	illustrated	illustrate	VERB
fbem-25626	178	11	in	in	ADP
fbem-25626	178	12	table	table	NOUN
fbem-25626	178	13	3	3	NUM
fbem-25626	178	14	,	,	PUNCT
fbem-25626	178	15	comparing	compare	VERB
fbem-25626	178	16	the	the	DET
fbem-25626	178	17	single	single	ADJ
fbem-25626	178	18	arima	arima	NOUN
fbem-25626	178	19	model	model	NOUN
fbem-25626	178	20	with	with	ADP
fbem-25626	178	21	the	the	DET
fbem-25626	178	22	arima	arima	NOUN
fbem-25626	178	23	-	-	PUNCT
fbem-25626	178	24	lstm	lstm	NOUN
fbem-25626	178	25	model	model	NOUN
fbem-25626	178	26	forecasting	forecasting	NOUN
fbem-25626	178	27	outcomes	outcome	NOUN
fbem-25626	178	28	,	,	PUNCT
fbem-25626	178	29	by	by	ADP
fbem-25626	178	30	observing	observe	VERB
fbem-25626	178	31	the	the	DET
fbem-25626	178	32	values	value	NOUN
fbem-25626	178	33	of	of	ADP
fbem-25626	178	34	the	the	DET
fbem-25626	178	35	three	three	NUM
fbem-25626	178	36	evaluation	evaluation	NOUN
fbem-25626	178	37	indexes	index	NOUN
fbem-25626	178	38	,	,	PUNCT
fbem-25626	178	39	mae	mae	PROPN
fbem-25626	178	40	,	,	PUNCT
fbem-25626	178	41	mse	mse	PROPN
fbem-25626	178	42	and	and	CCONJ
fbem-25626	178	43	mape	mape	NOUN
fbem-25626	178	44	,	,	PUNCT
fbem-25626	178	45	it	it	PRON
fbem-25626	178	46	can	can	AUX
fbem-25626	178	47	be	be	AUX
fbem-25626	178	48	found	find	VERB
fbem-25626	178	49	that	that	SCONJ
fbem-25626	178	50	the	the	DET
fbem-25626	178	51	comprehensive	comprehensive	ADJ
fbem-25626	178	52	evaluation	evaluation	NOUN
fbem-25626	178	53	values	value	NOUN
fbem-25626	178	54	of	of	ADP
fbem-25626	178	55	the	the	DET
fbem-25626	178	56	arima	arima	NOUN
fbem-25626	178	57	-	-	PUNCT
fbem-25626	178	58	lstm	lstm	PROPN
fbem-25626	178	59	model	model	NOUN
fbem-25626	178	60	are	be	AUX
fbem-25626	178	61	each	each	PRON
fbem-25626	178	62	less	less	ADJ
fbem-25626	178	63	than	than	ADP
fbem-25626	178	64	those	those	PRON
fbem-25626	178	65	of	of	ADP
fbem-25626	178	66	the	the	DET
fbem-25626	178	67	standalone	standalone	ADJ
fbem-25626	178	68	arima	arima	NOUN
fbem-25626	178	69	model	model	NOUN
fbem-25626	178	70	,	,	PUNCT
fbem-25626	178	71	and	and	CCONJ
fbem-25626	178	72	it	it	PRON
fbem-25626	178	73	can	can	AUX
fbem-25626	178	74	be	be	AUX
fbem-25626	178	75	deduced	deduce	VERB
fbem-25626	178	76	that	that	SCONJ
fbem-25626	178	77	the	the	DET
fbem-25626	178	78	arima	arima	NOUN
fbem-25626	178	79	-	-	PUNCT
fbem-25626	178	80	lstm	lstm	PROPN
fbem-25626	178	81	model	model	NOUN
fbem-25626	178	82	is	be	AUX
fbem-25626	178	83	superior	superior	ADJ
fbem-25626	178	84	to	to	ADP
fbem-25626	178	85	the	the	DET
fbem-25626	178	86	single	single	ADJ
fbem-25626	178	87	arima	arima	NOUN
fbem-25626	178	88	model	model	NOUN
fbem-25626	178	89	in	in	ADP
fbem-25626	178	90	cpi	cpi	PROPN
fbem-25626	178	91	prediction	prediction	NOUN
fbem-25626	178	92	.	.	PUNCT
fbem-25626	179	1	single	single	ADJ
fbem-25626	179	2	arima	arima	PROPN
fbem-25626	179	3	model	model	NOUN
fbem-25626	179	4	with	with	ADP
fbem-25626	179	5	better	well	ADJ
fbem-25626	179	6	model	model	NOUN
fbem-25626	179	7	prediction	prediction	NOUN
fbem-25626	179	8	accuracy	accuracy	NOUN
fbem-25626	179	9	.	.	PUNCT
fbem-25626	180	1	it	it	PRON
fbem-25626	180	2	is	be	AUX
fbem-25626	180	3	further	far	ADV
fbem-25626	180	4	observed	observe	VERB
fbem-25626	180	5	that	that	SCONJ
fbem-25626	180	6	china	china	PROPN
fbem-25626	180	7	's	's	PART
fbem-25626	180	8	cpi	cpi	PROPN
fbem-25626	180	9	index	index	NOUN
fbem-25626	180	10	fluctuates	fluctuate	VERB
fbem-25626	180	11	more	more	ADJ
fbem-25626	180	12	from	from	ADP
fbem-25626	180	13	2018	2018	NUM
fbem-25626	180	14	to	to	ADP
fbem-25626	180	15	2020	2020	NUM
fbem-25626	180	16	,	,	PUNCT
fbem-25626	180	17	especially	especially	ADV
fbem-25626	180	18	due	due	ADP
fbem-25626	180	19	to	to	ADP
fbem-25626	180	20	the	the	DET
fbem-25626	180	21	impact	impact	NOUN
fbem-25626	180	22	of	of	ADP
fbem-25626	180	23	public	public	ADJ
fbem-25626	180	24	health	health	NOUN
fbem-25626	180	25	emergencies	emergency	NOUN
fbem-25626	180	26	.	.	PUNCT
fbem-25626	181	1	in	in	ADP
fbem-25626	181	2	conclusion	conclusion	NOUN
fbem-25626	181	3	,	,	PUNCT
fbem-25626	181	4	when	when	SCONJ
fbem-25626	181	5	compared	compare	VERB
fbem-25626	181	6	to	to	ADP
fbem-25626	181	7	the	the	DET
fbem-25626	181	8	individual	individual	ADJ
fbem-25626	181	9	arima	arima	NOUN
fbem-25626	181	10	models	model	NOUN
fbem-25626	181	11	,	,	PUNCT
fbem-25626	181	12	the	the	DET
fbem-25626	181	13	hybrid	hybrid	NOUN
fbem-25626	181	14	model	model	NOUN
fbem-25626	181	15	separates	separate	VERB
fbem-25626	181	16	the	the	DET
fbem-25626	181	17	time	time	NOUN
fbem-25626	181	18	series	series	NOUN
fbem-25626	181	19	into	into	ADP
fbem-25626	181	20	the	the	DET
fbem-25626	181	21	linear	linear	ADJ
fbem-25626	181	22	part	part	NOUN
fbem-25626	181	23	of	of	ADP
fbem-25626	181	24	the	the	DET
fbem-25626	181	25	arima	arima	PROPN
fbem-25626	181	26	model	model	NOUN
fbem-25626	181	27	and	and	CCONJ
fbem-25626	181	28	the	the	DET
fbem-25626	181	29	nonlinear	nonlinear	ADJ
fbem-25626	181	30	part	part	NOUN
fbem-25626	181	31	of	of	ADP
fbem-25626	181	32	the	the	DET
fbem-25626	181	33	lstm	lstm	PROPN
fbem-25626	181	34	model	model	NOUN
fbem-25626	181	35	,	,	PUNCT
fbem-25626	181	36	which	which	PRON
fbem-25626	181	37	has	have	VERB
fbem-25626	181	38	higher	high	ADJ
fbem-25626	181	39	forecasting	forecasting	NOUN
fbem-25626	181	40	accuracy	accuracy	NOUN
fbem-25626	181	41	.	.	PUNCT
fbem-25626	182	1	table	table	NOUN
fbem-25626	182	2	3	3	X
fbem-25626	182	3	.	.	PUNCT
fbem-25626	183	1	arima	arima	PROPN
fbem-25626	183	2	model	model	NOUN
fbem-25626	183	3	and	and	CCONJ
fbem-25626	183	4	arima	arima	NOUN
fbem-25626	183	5	-	-	PUNCT
fbem-25626	183	6	lstm	lstm	NOUN
fbem-25626	183	7	combined	combine	VERB
fbem-25626	183	8	evaluation	evaluation	NOUN
fbem-25626	183	9	metrics	metric	NOUN
fbem-25626	183	10	arima	arima	PROPN
fbem-25626	183	11	arima	arima	PROPN
fbem-25626	183	12	-	-	PUNCT
fbem-25626	183	13	lstm	lstm	PROPN
fbem-25626	183	14	mae	mae	PROPN
fbem-25626	183	15	0.3738	0.3738	NUM
fbem-25626	183	16	0.1536	0.1536	NUM
fbem-25626	183	17	mse	mse	NOUN
fbem-25626	183	18	0.2320	0.2320	NUM
fbem-25626	183	19	0.0696	0.0696	NUM
fbem-25626	183	20	mape	mape	NOUN
fbem-25626	183	21	0.0037	0.0037	NUM
fbem-25626	183	22	0.0015	0.0015	NUM
fbem-25626	183	23	references	reference	NOUN
fbem-25626	183	24	[	[	X
fbem-25626	183	25	1	1	NUM
fbem-25626	183	26	]	]	PUNCT
fbem-25626	183	27	ahmar	ahmar	PROPN
fbem-25626	183	28	,	,	PUNCT
fbem-25626	183	29	a.	a.	PROPN
fbem-25626	183	30	s.	s.	PROPN
fbem-25626	183	31	,	,	PUNCT
fbem-25626	183	32	gs	gs	INTJ
fbem-25626	183	33	,	,	PUNCT
fbem-25626	183	34	a.	a.	PROPN
fbem-25626	183	35	d.	d.	PROPN
fbem-25626	183	36	,	,	PUNCT
fbem-25626	183	37	listyorini	listyorini	PROPN
fbem-25626	183	38	,	,	PUNCT
fbem-25626	183	39	t.	t.	PROPN
fbem-25626	183	40	,	,	PUNCT
fbem-25626	183	41	sugianto	sugianto	PROPN
fbem-25626	183	42	,	,	PUNCT
fbem-25626	183	43	c.	c.	PROPN
fbem-25626	183	44	a.	a.	PROPN
fbem-25626	183	45	,	,	PUNCT
fbem-25626	183	46	yuniningsih	yuniningsih	PROPN
fbem-25626	183	47	,	,	PUNCT
fbem-25626	183	48	y.	y.	PROPN
fbem-25626	183	49	,	,	PUNCT
fbem-25626	183	50	rahim	rahim	PROPN
fbem-25626	183	51	,	,	PUNCT
fbem-25626	183	52	r.	r.	PROPN
fbem-25626	183	53	,	,	PUNCT
fbem-25626	183	54	&	&	CCONJ
fbem-25626	183	55	kurniasih	kurniasih	PROPN
fbem-25626	183	56	,	,	PUNCT
fbem-25626	183	57	n.	n.	NOUN
fbem-25626	183	58	(	(	PUNCT
fbem-25626	183	59	2018	2018	NUM
fbem-25626	183	60	)	)	PUNCT
fbem-25626	183	61	.	.	PUNCT
fbem-25626	184	1	implementation	implementation	NOUN
fbem-25626	184	2	of	of	ADP
fbem-25626	184	3	the	the	DET
fbem-25626	184	4	arima(p	arima(p	NOUN
fbem-25626	184	5	,	,	PUNCT
fbem-25626	184	6	d	d	NOUN
fbem-25626	184	7	,	,	PUNCT
fbem-25626	184	8	q	q	NOUN
fbem-25626	184	9	)	)	PUNCT
fbem-25626	184	10	method	method	NOUN
fbem-25626	184	11	to	to	ADP
fbem-25626	184	12	forecasting	forecast	VERB
fbem-25626	184	13	cpi	cpi	PROPN
fbem-25626	184	14	data	datum	NOUN
fbem-25626	184	15	using	use	VERB
fbem-25626	184	16	forecast	forecast	NOUN
fbem-25626	184	17	package	package	NOUN
fbem-25626	184	18	in	in	ADP
fbem-25626	184	19	r	r	NOUN
fbem-25626	184	20	software	software	NOUN
fbem-25626	184	21	.	.	PUNCT
fbem-25626	185	1	journal	journal	PROPN
fbem-25626	185	2	of	of	ADP
fbem-25626	185	3	physics	physics	PROPN
fbem-25626	185	4	:	:	PUNCT
fbem-25626	185	5	conference	conference	NOUN
fbem-25626	185	6	series	series	NOUN
fbem-25626	185	7	,	,	PUNCT
fbem-25626	185	8	1028	1028	NUM
fbem-25626	185	9	,	,	PUNCT
fbem-25626	185	10	012189	012189	NUM
fbem-25626	185	11	.	.	PUNCT
fbem-25626	186	1	https://doi.org/10.1088/1742-6596/1028/1/012189	https://doi.org/10.1088/1742-6596/1028/1/012189	X
fbem-25626	187	1	[	[	X
fbem-25626	187	2	2	2	NUM
fbem-25626	187	3	]	]	PUNCT
fbem-25626	187	4	álvarez	álvarez	NOUN
fbem-25626	187	5	-	-	PUNCT
fbem-25626	187	6	díaz	díaz	NOUN
fbem-25626	187	7	,	,	PUNCT
fbem-25626	187	8	m.	m.	NOUN
fbem-25626	187	9	,	,	PUNCT
fbem-25626	187	10	&	&	CCONJ
fbem-25626	187	11	gupta	gupta	PROPN
fbem-25626	187	12	,	,	PUNCT
fbem-25626	187	13	r.	r.	PROPN
fbem-25626	187	14	(	(	PUNCT
fbem-25626	187	15	2016	2016	NUM
fbem-25626	187	16	)	)	PUNCT
fbem-25626	187	17	.	.	PUNCT
fbem-25626	188	1	forecasting	forecast	VERB
fbem-25626	188	2	us	we	PRON
fbem-25626	188	3	consumer	consumer	NOUN
fbem-25626	188	4	price	price	NOUN
fbem-25626	188	5	index	index	NOUN
fbem-25626	188	6	:	:	PUNCT
fbem-25626	188	7	does	do	VERB
fbem-25626	188	8	nonlinearity	nonlinearity	NOUN
fbem-25626	188	9	matter	matter	NOUN
fbem-25626	188	10	?	?	PUNCT
fbem-25626	189	1	applied	apply	VERB
fbem-25626	189	2	economics	economic	NOUN
fbem-25626	189	3	,	,	PUNCT
fbem-25626	189	4	48(46	48(46	NUM
fbem-25626	189	5	)	)	PUNCT
fbem-25626	189	6	,	,	PUNCT
fbem-25626	189	7	4462–4475	4462–4475	NUM
fbem-25626	189	8	.	.	PUNCT
fbem-25626	189	9	https://doi.org/10.1080/00036846.2016.1158922	https://doi.org/10.1080/00036846.2016.1158922	PROPN
fbem-25626	190	1	[	[	X
fbem-25626	190	2	3	3	NUM
fbem-25626	190	3	]	]	X
fbem-25626	190	4	astrakhantseva	astrakhantseva	PROPN
fbem-25626	190	5	,	,	PUNCT
fbem-25626	190	6	i.	i.	PROPN
fbem-25626	190	7	,	,	PUNCT
fbem-25626	190	8	kutuzova	kutuzova	PROPN
fbem-25626	190	9	,	,	PUNCT
fbem-25626	190	10	a.	a.	PROPN
fbem-25626	190	11	,	,	PUNCT
fbem-25626	190	12	&	&	CCONJ
fbem-25626	190	13	astrakhantsev	astrakhantsev	PROPN
fbem-25626	190	14	,	,	PUNCT
fbem-25626	190	15	r.	r.	PROPN
fbem-25626	190	16	(	(	PUNCT
fbem-25626	190	17	2021	2021	NUM
fbem-25626	190	18	)	)	PUNCT
fbem-25626	190	19	.	.	PUNCT
fbem-25626	191	1	artificial	artificial	ADJ
fbem-25626	191	2	neural	neural	ADJ
fbem-25626	191	3	networks	network	NOUN
fbem-25626	191	4	in	in	ADP
fbem-25626	191	5	inflation	inflation	NOUN
fbem-25626	191	6	forecasting	forecasting	NOUN
fbem-25626	191	7	at	at	ADP
fbem-25626	191	8	the	the	DET
fbem-25626	191	9	meso	meso	NOUN
fbem-25626	191	10	-	-	PUNCT
fbem-25626	191	11	level	level	NOUN
fbem-25626	191	12	.	.	PUNCT
fbem-25626	192	1	shs	shs	NOUN
fbem-25626	192	2	web	web	NOUN
fbem-25626	192	3	of	of	ADP
fbem-25626	192	4	conferences	conference	NOUN
fbem-25626	192	5	,	,	PUNCT
fbem-25626	192	6	93	93	NUM
fbem-25626	192	7	,	,	PUNCT
fbem-25626	192	8	02005	02005	NUM
fbem-25626	192	9	.	.	PUNCT
fbem-25626	193	1	https://doi.org/10.1051/shsconf/20219302005	https://doi.org/10.1051/shsconf/20219302005	PUNCT
fbem-25626	194	1	[	[	X
fbem-25626	194	2	4	4	X
fbem-25626	194	3	]	]	X
fbem-25626	194	4	d	d	X
fbem-25626	194	5	xu	xu	PROPN
fbem-25626	194	6	,	,	PUNCT
fbem-25626	194	7	q	q	PROPN
fbem-25626	194	8	zhang	zhang	PROPN
fbem-25626	194	9	,	,	PUNCT
fbem-25626	194	10	y	y	PROPN
fbem-25626	194	11	ding	ding	PROPN
fbem-25626	194	12	,	,	PUNCT
fbem-25626	194	13	&	&	CCONJ
fbem-25626	194	14	d	d	PROPN
fbem-25626	194	15	zhang	zhang	PROPN
fbem-25626	194	16	.	.	PUNCT
fbem-25626	194	17	(	(	PUNCT
fbem-25626	194	18	2022	2022	NUM
fbem-25626	194	19	)	)	PUNCT
fbem-25626	194	20	.	.	PUNCT
fbem-25626	195	1	application	application	NOUN
fbem-25626	195	2	of	of	ADP
fbem-25626	195	3	a	a	DET
fbem-25626	195	4	hybrid	hybrid	ADJ
fbem-25626	195	5	arima	arima	NOUN
fbem-25626	195	6	-	-	PUNCT
fbem-25626	195	7	lstm	lstm	NOUN
fbem-25626	195	8	model	model	NOUN
fbem-25626	195	9	based	base	VERB
fbem-25626	195	10	on	on	ADP
fbem-25626	195	11	the	the	DET
fbem-25626	195	12	spei	spei	NOUN
fbem-25626	195	13	for	for	ADP
fbem-25626	195	14	drought	drought	NOUN
fbem-25626	195	15	forecasting	forecasting	NOUN
fbem-25626	195	16	.	.	PUNCT
fbem-25626	196	1	environmental	environmental	ADJ
fbem-25626	196	2	science	science	NOUN
fbem-25626	196	3	and	and	CCONJ
fbem-25626	196	4	pollution	pollution	NOUN
fbem-25626	196	5	research	research	NOUN
fbem-25626	196	6	international	international	PROPN
fbem-25626	196	7	.	.	PUNCT
fbem-25626	197	1	https://doi.org/10.1007/s11356-021-15325-z	https://doi.org/10.1007/s11356-021-15325-z	PROPN
fbem-25626	198	1	[	[	X
fbem-25626	198	2	5	5	NUM
fbem-25626	198	3	]	]	X
fbem-25626	198	4	di	di	X
fbem-25626	198	5	filippo	filippo	PROPN
fbem-25626	198	6	,	,	PUNCT
fbem-25626	198	7	g.	g.	PROPN
fbem-25626	198	8	(	(	PUNCT
fbem-25626	198	9	2015	2015	NUM
fbem-25626	198	10	)	)	PUNCT
fbem-25626	198	11	.	.	PUNCT
fbem-25626	199	1	dynamic	dynamic	ADJ
fbem-25626	199	2	model	model	NOUN
fbem-25626	199	3	averaging	averaging	NOUN
fbem-25626	199	4	and	and	CCONJ
fbem-25626	199	5	cpi	cpi	PROPN
fbem-25626	199	6	inflation	inflation	NOUN
fbem-25626	199	7	forecasts	forecast	NOUN
fbem-25626	199	8	:	:	PUNCT
fbem-25626	199	9	a	a	DET
fbem-25626	199	10	comparison	comparison	NOUN
fbem-25626	199	11	between	between	ADP
fbem-25626	199	12	the	the	DET
fbem-25626	199	13	euro	euro	PROPN
fbem-25626	199	14	area	area	NOUN
fbem-25626	199	15	and	and	CCONJ
fbem-25626	199	16	9	9	NUM
fbem-25626	199	17	9	9	NUM
fbem-25626	199	18	9	9	NUM
fbem-25626	199	19	9	9	NUM
fbem-25626	199	20	.5	.5	NUM
fbem-25626	199	21	1	1	NUM
fbem-25626	199	22	0	0	NUM
fbem-25626	199	23	0	0	NUM
fbem-25626	199	24	1	1	NUM
fbem-25626	199	25	0	0	NUM
fbem-25626	199	26	0	0	NUM
fbem-25626	199	27	.5	.5	NUM
fbem-25626	199	28	1	1	NUM
fbem-25626	199	29	0	0	NUM
fbem-25626	199	30	1	1	NUM
fbem-25626	199	31	1	1	NUM
fbem-25626	199	32	0	0	NUM
fbem-25626	199	33	1	1	NUM
fbem-25626	199	34	.5	.5	NUM
fbem-25626	199	35	01/2016	01/2016	NUM
fbem-25626	199	36	08/2017	08/2017	NOUN
fbem-25626	199	37	04/2019	04/2019	NUM
fbem-25626	200	1	12/2020	12/2020	NUM
fbem-25626	200	2	08/2022	08/2022	NOUN
fbem-25626	200	3	time	time	NOUN
fbem-25626	200	4	predict	predict	AUX
fbem-25626	200	5	fitted	fit	VERB
fbem-25626	200	6	https://doi.org/10.1088/1742-6596/1028/1/012189	https://doi.org/10.1088/1742-6596/1028/1/012189	PROPN
fbem-25626	200	7	https://doi.org/10.1080/00036846.2016.1158922	https://doi.org/10.1080/00036846.2016.1158922	PROPN
fbem-25626	201	1	https://doi.org/10.1051/shsconf/20219302005	https://doi.org/10.1051/shsconf/20219302005	AUX
fbem-25626	201	2	https://doi.org/10.1007/s11356-021-15325-z	https://doi.org/10.1007/s11356-021-15325-z	NOUN
fbem-25626	201	3	270	270	NUM
fbem-25626	201	4	the	the	DET
fbem-25626	201	5	united	united	PROPN
fbem-25626	201	6	states	states	PROPN
fbem-25626	201	7	.	.	PUNCT
fbem-25626	202	1	journal	journal	PROPN
fbem-25626	202	2	of	of	ADP
fbem-25626	202	3	forecasting	forecasting	NOUN
fbem-25626	202	4	,	,	PUNCT
fbem-25626	202	5	34(8	34(8	NUM
fbem-25626	202	6	)	)	PUNCT
fbem-25626	202	7	,	,	PUNCT
fbem-25626	202	8	619–648	619–648	NUM
fbem-25626	202	9	.	.	PUNCT
fbem-25626	203	1	https://doi.org/10.1002/for.2350	https://doi.org/10.1002/for.2350	PROPN
fbem-25626	204	1	[	[	X
fbem-25626	204	2	6	6	NUM
fbem-25626	204	3	]	]	X
fbem-25626	204	4	du	du	X
fbem-25626	204	5	,	,	PUNCT
fbem-25626	204	6	y.	y.	PROPN
fbem-25626	204	7	(	(	PUNCT
fbem-25626	204	8	2018	2018	NUM
fbem-25626	204	9	)	)	PUNCT
fbem-25626	204	10	.	.	PUNCT
fbem-25626	205	1	prediction	prediction	NOUN
fbem-25626	205	2	of	of	ADP
fbem-25626	205	3	consumer	consumer	NOUN
fbem-25626	205	4	price	price	NOUN
fbem-25626	205	5	index	index	NOUN
fbem-25626	205	6	based	base	VERB
fbem-25626	205	7	on	on	ADP
fbem-25626	205	8	rbf	rbf	PROPN
fbem-25626	205	9	neural	neural	ADJ
fbem-25626	205	10	network	network	NOUN
fbem-25626	205	11	.	.	PUNCT
fbem-25626	206	1	https://doi.org/10.1109/ccdc.2018.8407612	https://doi.org/10.1109/ccdc.2018.8407612	PROPN
fbem-25626	207	1	[	[	X
fbem-25626	207	2	7	7	NUM
fbem-25626	207	3	]	]	X
fbem-25626	207	4	du	du	X
fbem-25626	207	5	,	,	PUNCT
fbem-25626	207	6	y.	y.	PROPN
fbem-25626	207	7	,	,	PUNCT
fbem-25626	207	8	cai	cai	PROPN
fbem-25626	207	9	,	,	PUNCT
fbem-25626	207	10	y.	y.	PROPN
fbem-25626	207	11	,	,	PUNCT
fbem-25626	207	12	chen	chen	PROPN
fbem-25626	207	13	,	,	PUNCT
fbem-25626	207	14	m.	m.	NOUN
fbem-25626	207	15	,	,	PUNCT
fbem-25626	207	16	xu	xu	PROPN
fbem-25626	207	17	,	,	PUNCT
fbem-25626	207	18	w.	w.	PROPN
fbem-25626	207	19	,	,	PUNCT
fbem-25626	207	20	yuan	yuan	PROPN
fbem-25626	207	21	,	,	PUNCT
fbem-25626	207	22	h.	h.	PROPN
fbem-25626	207	23	,	,	PUNCT
fbem-25626	207	24	&	&	CCONJ
fbem-25626	207	25	li	li	PROPN
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fbem-25626	207	27	t.	t.	PROPN
fbem-25626	207	28	(	(	PUNCT
fbem-25626	207	29	2014	2014	NUM
fbem-25626	207	30	)	)	PUNCT
fbem-25626	207	31	.	.	PUNCT
fbem-25626	208	1	a	a	DET
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fbem-25626	208	3	divide	divide	NOUN
fbem-25626	208	4	-	-	PUNCT
fbem-25626	208	5	and	and	CCONJ
fbem-25626	208	6	-	-	PUNCT
fbem-25626	208	7	conquer	conquer	NOUN
fbem-25626	208	8	model	model	NOUN
fbem-25626	208	9	for	for	ADP
fbem-25626	208	10	cpi	cpi	PROPN
fbem-25626	208	11	prediction	prediction	NOUN
fbem-25626	208	12	using	use	VERB
fbem-25626	208	13	arima	arima	NOUN
fbem-25626	208	14	,	,	PUNCT
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fbem-25626	208	16	model	model	NOUN
fbem-25626	208	17	and	and	CCONJ
fbem-25626	208	18	bpnn	bpnn	NOUN
fbem-25626	208	19	.	.	PUNCT
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fbem-25626	209	4	,	,	PUNCT
fbem-25626	209	5	31	31	NUM
fbem-25626	209	6	,	,	PUNCT
fbem-25626	209	7	842–851	842–851	NUM
fbem-25626	209	8	.	.	PUNCT
fbem-25626	210	1	https://doi.org/10.1016/j.procs.2014.05.335	https://doi.org/10.1016/j.procs.2014.05.335	PROPN
fbem-25626	211	1	[	[	X
fbem-25626	211	2	8	8	NUM
fbem-25626	211	3	]	]	X
fbem-25626	211	4	feihu	feihu	PROPN
fbem-25626	211	5	qin	qin	PROPN
fbem-25626	211	6	,	,	PUNCT
fbem-25626	211	7	tianran	tianran	PROPN
fbem-25626	211	8	ma	ma	PROPN
fbem-25626	211	9	,	,	PUNCT
fbem-25626	211	10	jiehao	jiehao	PROPN
fbem-25626	211	11	wang	wang	PROPN
fbem-25626	211	12	,	,	PUNCT
fbem-25626	211	13	haonan	haonan	PROPN
fbem-25626	211	14	liang	liang	PROPN
fbem-25626	211	15	,	,	PUNCT
fbem-25626	211	16	tian	tian	PROPN
fbem-25626	211	17	zhang	zhang	PROPN
fbem-25626	211	18	,	,	PUNCT
fbem-25626	211	19	&	&	CCONJ
fbem-25626	211	20	huan	huan	PROPN
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fbem-25626	211	22	.	.	PUNCT
fbem-25626	211	23	(	(	PUNCT
fbem-25626	211	24	2010	2010	NUM
fbem-25626	211	25	)	)	PUNCT
fbem-25626	211	26	.	.	PUNCT
fbem-25626	212	1	the	the	DET
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fbem-25626	212	5	on	on	ADP
fbem-25626	212	6	gasvm	gasvm	NOUN
fbem-25626	212	7	.	.	PUNCT
fbem-25626	213	1	2010	2010	NUM
fbem-25626	213	2	international	international	ADJ
fbem-25626	213	3	conference	conference	NOUN
fbem-25626	213	4	on	on	ADP
fbem-25626	213	5	information	information	NOUN
fbem-25626	213	6	,	,	PUNCT
fbem-25626	213	7	networking	networking	NOUN
fbem-25626	213	8	and	and	CCONJ
fbem-25626	213	9	automation	automation	NOUN
fbem-25626	213	10	(	(	PUNCT
fbem-25626	213	11	icina	icina	PROPN
fbem-25626	213	12	)	)	PUNCT
fbem-25626	213	13	,	,	PUNCT
fbem-25626	213	14	v1	v1	PROPN
fbem-25626	213	15	-	-	PUNCT
fbem-25626	213	16	142	142	NUM
fbem-25626	213	17	-	-	PUNCT
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fbem-25626	213	19	-	-	PUNCT
fbem-25626	213	20	147	147	NUM
fbem-25626	213	21	.	.	PUNCT
fbem-25626	214	1	https://doi.org/10.1109/icina.2010.5636416	https://doi.org/10.1109/icina.2010.5636416	PRON
fbem-25626	214	2	[	[	X
fbem-25626	214	3	9	9	NUM
fbem-25626	214	4	]	]	X
fbem-25626	214	5	gautam	gautam	PROPN
fbem-25626	214	6	,	,	PUNCT
fbem-25626	214	7	r.	r.	PROPN
fbem-25626	214	8	s.	s.	PROPN
fbem-25626	214	9	,	,	PUNCT
fbem-25626	214	10	&	&	CCONJ
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fbem-25626	214	12	,	,	PUNCT
fbem-25626	214	13	j.	j.	PROPN
fbem-25626	214	14	(	(	PUNCT
fbem-25626	214	15	2022	2022	NUM
fbem-25626	214	16	)	)	PUNCT
fbem-25626	214	17	.	.	PUNCT
fbem-25626	215	1	inflation	inflation	NOUN
fbem-25626	215	2	targeting	target	VERB
fbem-25626	215	3	:	:	PUNCT
fbem-25626	215	4	an	an	DET
fbem-25626	215	5	application	application	NOUN
fbem-25626	215	6	of	of	ADP
fbem-25626	215	7	arima	arima	PROPN
fbem-25626	215	8	modelling	modelling	NOUN
fbem-25626	215	9	using	use	VERB
fbem-25626	215	10	forecasting	forecasting	NOUN
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fbem-25626	215	14	wpi	wpi	NOUN
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fbem-25626	216	1	5(11	5(11	NUM
fbem-25626	216	2	)	)	PUNCT
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fbem-25626	217	1	[	[	X
fbem-25626	217	2	10	10	NUM
fbem-25626	217	3	]	]	X
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fbem-25626	217	36	)	)	PUNCT
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fbem-25626	218	1	a	a	DET
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fbem-25626	219	8	)	)	PUNCT
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fbem-25626	220	4	]	]	X
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fbem-25626	220	17	(	(	PUNCT
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fbem-25626	220	19	)	)	PUNCT
fbem-25626	220	20	.	.	PUNCT
fbem-25626	221	1	a	a	DET
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fbem-25626	221	6	model	model	NOUN
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fbem-25626	221	8	cpi	cpi	PROPN
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fbem-25626	221	12	component	component	NOUN
fbem-25626	221	13	analysis	analysis	NOUN
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fbem-25626	221	16	autoregressive	autoregressive	ADJ
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fbem-25626	221	18	network	network	NOUN
fbem-25626	221	19	.	.	PUNCT
fbem-25626	222	1	physica	physica	PROPN
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fbem-25626	222	6	and	and	CCONJ
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fbem-25626	222	11	,	,	PUNCT
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fbem-25626	224	2	12	12	NUM
fbem-25626	224	3	]	]	X
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fbem-25626	224	5	,	,	PUNCT
fbem-25626	224	6	k.	k.	PROPN
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fbem-25626	224	10	,	,	PUNCT
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fbem-25626	224	14	)	)	PUNCT
fbem-25626	224	15	.	.	PUNCT
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fbem-25626	225	2	forecasting	forecasting	NOUN
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fbem-25626	225	9	:	:	PUNCT
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fbem-25626	225	14	.	.	PUNCT
fbem-25626	226	1	journal	journal	PROPN
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fbem-25626	226	8	,	,	PUNCT
fbem-25626	226	9	58	58	NUM
fbem-25626	226	10	,	,	PUNCT
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fbem-25626	226	12	.	.	PUNCT
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fbem-25626	228	2	13	13	NUM
fbem-25626	228	3	]	]	PUNCT
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fbem-25626	228	5	,	,	PUNCT
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fbem-25626	228	9	)	)	PUNCT
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fbem-25626	229	11	:	:	PUNCT
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fbem-25626	229	20	errors	error	NOUN
fbem-25626	229	21	.	.	PUNCT
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fbem-25626	230	8	,	,	PUNCT
fbem-25626	230	9	9(4	9(4	NUM
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fbem-25626	230	13	.	.	PUNCT
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fbem-25626	232	3	]	]	PUNCT
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fbem-25626	232	5	,	,	PUNCT
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fbem-25626	232	9	)	)	PUNCT
fbem-25626	232	10	.	.	PUNCT
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fbem-25626	233	2	in	in	ADP
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fbem-25626	233	4	-	-	PUNCT
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fbem-25626	233	7	forecasts	forecast	NOUN
fbem-25626	233	8	:	:	PUNCT
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fbem-25626	233	10	post	post	NOUN
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fbem-25626	234	9	85	85	NUM
fbem-25626	234	10	,	,	PUNCT
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fbem-25626	235	4	]	]	X
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fbem-25626	235	6	,	,	PUNCT
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fbem-25626	235	25	&	&	CCONJ
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fbem-25626	235	29	(	(	PUNCT
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fbem-25626	241	7	,	,	PUNCT
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fbem-25626	246	3	)	)	PUNCT
fbem-25626	246	4	.	.	PUNCT
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fbem-25626	247	5	arima	arima	PROPN
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fbem-25626	248	2	)	)	PUNCT
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fbem-25626	250	13	-	-	PUNCT
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fbem-25626	250	15	,	,	PUNCT
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fbem-25626	250	21	,	,	PUNCT
fbem-25626	250	22	d.	d.	PROPN
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fbem-25626	250	26	)	)	PUNCT
fbem-25626	250	27	.	.	PUNCT
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fbem-25626	251	6	(	(	PUNCT
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fbem-25626	251	11	:	:	PUNCT
fbem-25626	251	12	a	a	DET
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fbem-25626	251	16	predictive	predictive	ADJ
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fbem-25626	251	18	.	.	PUNCT
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fbem-25626	252	9	information	information	NOUN
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fbem-25626	252	11	,	,	PUNCT
fbem-25626	252	12	10(3	10(3	NUM
fbem-25626	252	13	)	)	PUNCT
fbem-25626	252	14	,	,	PUNCT
fbem-25626	252	15	1078	1078	NUM
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fbem-25626	254	2	20	20	NUM
fbem-25626	254	3	]	]	PUNCT
fbem-25626	254	4	riofrio	riofrio	PROPN
fbem-25626	254	5	,	,	PUNCT
fbem-25626	254	6	j.	j.	PROPN
fbem-25626	254	7	,	,	PUNCT
fbem-25626	254	8	infante	infante	PROPN
fbem-25626	254	9	,	,	PUNCT
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fbem-25626	254	14	,	,	PUNCT
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fbem-25626	254	16	(	(	PUNCT
fbem-25626	254	17	2023	2023	NUM
fbem-25626	254	18	)	)	PUNCT
fbem-25626	254	19	.	.	PUNCT
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fbem-25626	255	4	price	price	NOUN
fbem-25626	255	5	index	index	NOUN
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fbem-25626	255	9	classical	classical	ADJ
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fbem-25626	255	11	advanced	advanced	ADJ
fbem-25626	255	12	time	time	NOUN
fbem-25626	255	13	series	series	NOUN
fbem-25626	255	14	models	model	NOUN
fbem-25626	255	15	.	.	PUNCT
fbem-25626	256	1	in	in	ADP
fbem-25626	256	2	j.	j.	PROPN
fbem-25626	256	3	maldonado	maldonado	PROPN
fbem-25626	256	4	-	-	PUNCT
fbem-25626	256	5	mahauad	mahauad	PROPN
fbem-25626	256	6	,	,	PUNCT
fbem-25626	256	7	j.	j.	PROPN
fbem-25626	256	8	herrera	herrera	PROPN
fbem-25626	256	9	-	-	PUNCT
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fbem-25626	256	11	,	,	PUNCT
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fbem-25626	256	13	l.	l.	PROPN
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fbem-25626	256	15	-	-	PUNCT
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fbem-25626	256	21	(	(	PUNCT
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fbem-25626	256	23	.	.	PUNCT
fbem-25626	256	24	)	)	PUNCT
fbem-25626	256	25	,	,	PUNCT
fbem-25626	256	26	information	information	NOUN
fbem-25626	256	27	and	and	CCONJ
fbem-25626	256	28	communication	communication	NOUN
fbem-25626	256	29	technologies	technology	NOUN
fbem-25626	256	30	(	(	PUNCT
fbem-25626	256	31	vol	vol	NOUN
fbem-25626	256	32	.	.	NOUN
fbem-25626	256	33	1885	1885	NUM
fbem-25626	256	34	,	,	PUNCT
fbem-25626	256	35	pp	pp	ADJ
fbem-25626	256	36	.	.	PUNCT
fbem-25626	257	1	128–144	128–144	NUM
fbem-25626	257	2	)	)	PUNCT
fbem-25626	257	3	.	.	PUNCT
fbem-25626	258	1	springer	springer	PROPN
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fbem-25626	258	4	.	.	PUNCT
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fbem-25626	259	4	]	]	PUNCT
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fbem-25626	259	13	,	,	PUNCT
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fbem-25626	259	15	,	,	PUNCT
fbem-25626	259	16	i.	i.	PROPN
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fbem-25626	259	20	,	,	PUNCT
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fbem-25626	259	22	,	,	PUNCT
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fbem-25626	259	25	,	,	PUNCT
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fbem-25626	259	33	,	,	PUNCT
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fbem-25626	259	35	,	,	PUNCT
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fbem-25626	260	4	.	.	PUNCT
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fbem-25626	261	4	index	index	NOUN
fbem-25626	261	5	cities	city	NOUN
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fbem-25626	261	10	java	java	PROPN
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fbem-25626	261	14	-	-	PUNCT
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fbem-25626	262	2	)	)	PUNCT
fbem-25626	262	3	,	,	PUNCT
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fbem-25626	264	2	22	22	NUM
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fbem-25626	264	5	,	,	PUNCT
fbem-25626	264	6	m.	m.	PROPN
fbem-25626	264	7	f.	f.	PROPN
fbem-25626	264	8	,	,	PUNCT
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fbem-25626	264	10	,	,	PUNCT
fbem-25626	264	11	i.	i.	PROPN
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fbem-25626	264	13	g.	g.	PROPN
fbem-25626	264	14	d.	d.	PROPN
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fbem-25626	266	7	,	,	PUNCT
fbem-25626	266	8	1737(1	1737(1	NUM
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fbem-25626	275	6	v.	v.	ADV
fbem-25626	275	7	,	,	PUNCT
fbem-25626	275	8	&	&	CCONJ
fbem-25626	275	9	ravi	ravi	PROPN
fbem-25626	275	10	,	,	PUNCT
fbem-25626	275	11	v.	v.	PROPN
fbem-25626	275	12	(	(	PUNCT
fbem-25626	275	13	2020	2020	NUM
fbem-25626	275	14	)	)	PUNCT
fbem-25626	275	15	.	.	PUNCT
fbem-25626	276	1	chaos	chaos	NOUN
fbem-25626	276	2	,	,	PUNCT
fbem-25626	276	3	machine	machine	NOUN
fbem-25626	276	4	learning	learning	NOUN
fbem-25626	276	5	and	and	CCONJ
fbem-25626	276	6	deep	deep	ADJ
fbem-25626	276	7	learning	learning	NOUN
fbem-25626	276	8	based	base	VERB
fbem-25626	276	9	hybrid	hybrid	NOUN
fbem-25626	276	10	to	to	PART
fbem-25626	276	11	forecast	forecast	VERB
fbem-25626	276	12	consumer	consumer	NOUN
fbem-25626	276	13	price	price	NOUN
fbem-25626	276	14	index	index	NOUN
fbem-25626	276	15	inflation	inflation	NOUN
fbem-25626	276	16	in	in	ADP
fbem-25626	276	17	india	india	PROPN
fbem-25626	276	18	.	.	PUNCT
fbem-25626	277	1	2020	2020	NUM
fbem-25626	277	2	ieee	ieee	NOUN
fbem-25626	277	3	symposium	symposium	NOUN
fbem-25626	277	4	series	series	NOUN
fbem-25626	277	5	on	on	ADP
fbem-25626	277	6	computational	computational	ADJ
fbem-25626	277	7	intelligence	intelligence	NOUN
fbem-25626	277	8	(	(	PUNCT
fbem-25626	277	9	ssci	ssci	PROPN
fbem-25626	277	10	)	)	PUNCT
fbem-25626	277	11	,	,	PUNCT
fbem-25626	277	12	2551–2557	2551–2557	NUM
fbem-25626	277	13	.	.	PUNCT
fbem-25626	278	1	https://doi.org/10.1109/ssci47803.2020.9308309	https://doi.org/10.1109/ssci47803.2020.9308309	PROPN
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fbem-25626	279	2	26	26	NUM
fbem-25626	279	3	]	]	X
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fbem-25626	279	5	,	,	PUNCT
fbem-25626	279	6	n.	n.	NOUN
fbem-25626	279	7	(	(	PUNCT
fbem-25626	279	8	2021	2021	NUM
fbem-25626	279	9	)	)	PUNCT
fbem-25626	279	10	.	.	PUNCT
fbem-25626	280	1	a	a	DET
fbem-25626	280	2	suite	suite	NOUN
fbem-25626	280	3	of	of	ADP
fbem-25626	280	4	models	model	NOUN
fbem-25626	280	5	for	for	ADP
fbem-25626	280	6	cpi	cpi	NOUN
fbem-25626	280	7	forecasting	forecasting	NOUN
fbem-25626	280	8	.	.	PUNCT
fbem-25626	281	1	visnyk	visnyk	ADP
fbem-25626	281	2	of	of	ADP
fbem-25626	281	3	the	the	DET
fbem-25626	281	4	national	national	PROPN
fbem-25626	281	5	bank	bank	PROPN
fbem-25626	281	6	of	of	ADP
fbem-25626	281	7	ukraine	ukraine	NOUN
fbem-25626	281	8	,	,	PUNCT
fbem-25626	281	9	252	252	NUM
fbem-25626	281	10	,	,	PUNCT
fbem-25626	281	11	4	4	NUM
fbem-25626	281	12	–	–	SYM
fbem-25626	281	13	36	36	NUM
fbem-25626	281	14	.	.	PUNCT
fbem-25626	282	1	https://doi.org/10.26531/vnbu2021.252.01	https://doi.org/10.26531/vnbu2021.252.01	ADJ
fbem-25626	283	1	[	[	X
fbem-25626	283	2	27	27	NUM
fbem-25626	283	3	]	]	X
fbem-25626	283	4	shinkarenko	shinkarenko	NOUN
fbem-25626	283	5	,	,	PUNCT
fbem-25626	283	6	v.	v.	PROPN
fbem-25626	283	7	,	,	PUNCT
fbem-25626	283	8	hostryk	hostryk	PROPN
fbem-25626	283	9	,	,	PUNCT
fbem-25626	283	10	a.	a.	PROPN
fbem-25626	283	11	,	,	PUNCT
fbem-25626	283	12	shynkarenko	shynkarenko	PROPN
fbem-25626	283	13	,	,	PUNCT
fbem-25626	283	14	l.	l.	PROPN
fbem-25626	283	15	,	,	PUNCT
fbem-25626	283	16	&	&	CCONJ
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fbem-25626	283	18	,	,	PUNCT
fbem-25626	283	19	l.	l.	PROPN
fbem-25626	283	20	(	(	PUNCT
fbem-25626	283	21	2021	2021	NUM
fbem-25626	283	22	)	)	PUNCT
fbem-25626	283	23	.	.	PUNCT
fbem-25626	284	1	a	a	DET
fbem-25626	284	2	forecasting	forecasting	NOUN
fbem-25626	284	3	the	the	DET
fbem-25626	284	4	consumer	consumer	NOUN
fbem-25626	284	5	price	price	NOUN
fbem-25626	284	6	index	index	NOUN
fbem-25626	284	7	using	use	VERB
fbem-25626	284	8	time	time	NOUN
fbem-25626	284	9	series	series	PROPN
fbem-25626	284	10	model	model	PROPN
fbem-25626	284	11	.	.	PUNCT
fbem-25626	285	1	shs	shs	PROPN
fbem-25626	285	2	web	web	NOUN
fbem-25626	285	3	of	of	ADP
fbem-25626	285	4	conferences	conference	NOUN
fbem-25626	285	5	,	,	PUNCT
fbem-25626	285	6	107	107	NUM
fbem-25626	285	7	,	,	PUNCT
fbem-25626	285	8	10002	10002	NUM
fbem-25626	285	9	.	.	PUNCT
fbem-25626	286	1	https://doi.org/10.1051/shsconf/202110710002	https://doi.org/10.1051/shsconf/202110710002	ADP
fbem-25626	287	1	[	[	X
fbem-25626	287	2	28	28	NUM
fbem-25626	287	3	]	]	X
fbem-25626	287	4	siami	siami	NOUN
fbem-25626	287	5	-	-	PUNCT
fbem-25626	287	6	namini	namini	ADJ
fbem-25626	287	7	,	,	PUNCT
fbem-25626	287	8	s.	s.	PROPN
fbem-25626	287	9	,	,	PUNCT
fbem-25626	287	10	tavakoli	tavakoli	PROPN
fbem-25626	287	11	,	,	PUNCT
fbem-25626	287	12	n.	n.	NOUN
fbem-25626	287	13	,	,	PUNCT
fbem-25626	287	14	&	&	CCONJ
fbem-25626	287	15	siami	siami	PROPN
fbem-25626	287	16	namin	namin	PROPN
fbem-25626	287	17	,	,	PUNCT
fbem-25626	287	18	a.	a.	NOUN
fbem-25626	287	19	(	(	PUNCT
fbem-25626	287	20	2018	2018	NUM
fbem-25626	287	21	)	)	PUNCT
fbem-25626	287	22	.	.	PUNCT
fbem-25626	288	1	a	a	DET
fbem-25626	288	2	comparison	comparison	NOUN
fbem-25626	288	3	of	of	ADP
fbem-25626	288	4	arima	arima	PROPN
fbem-25626	288	5	and	and	CCONJ
fbem-25626	288	6	lstm	lstm	NOUN
fbem-25626	288	7	in	in	ADP
fbem-25626	288	8	forecasting	forecasting	NOUN
fbem-25626	288	9	time	time	NOUN
fbem-25626	288	10	series	series	PROPN
fbem-25626	288	11	.	.	PUNCT
fbem-25626	289	1	2018	2018	NUM
fbem-25626	289	2	17th	17th	ADJ
fbem-25626	289	3	ieee	ieee	NOUN
fbem-25626	289	4	international	international	ADJ
fbem-25626	289	5	conference	conference	NOUN
fbem-25626	289	6	on	on	ADP
fbem-25626	289	7	machine	machine	NOUN
fbem-25626	289	8	learning	learning	NOUN
fbem-25626	289	9	and	and	CCONJ
fbem-25626	289	10	applications	application	NOUN
fbem-25626	289	11	(	(	PUNCT
fbem-25626	289	12	icmla	icmla	NOUN
fbem-25626	289	13	)	)	PUNCT
fbem-25626	289	14	,	,	PUNCT
fbem-25626	289	15	1394–1401	1394–1401	NUM
fbem-25626	289	16	.	.	PUNCT
fbem-25626	290	1	https://doi.org/10.1109/icmla.2018.00227	https://doi.org/10.1109/icmla.2018.00227	PROPN
fbem-25626	290	2	[	[	X
fbem-25626	290	3	29	29	NUM
fbem-25626	290	4	]	]	X
fbem-25626	290	5	wang	wang	PROPN
fbem-25626	290	6	,	,	PUNCT
fbem-25626	290	7	h.	h.	PROPN
fbem-25626	290	8	,	,	PUNCT
fbem-25626	290	9	&	&	CCONJ
fbem-25626	290	10	fan	fan	PROPN
fbem-25626	290	11	,	,	PUNCT
fbem-25626	290	12	g.	g.	PROPN
fbem-25626	290	13	(	(	PUNCT
fbem-25626	290	14	2010	2010	NUM
fbem-25626	290	15	)	)	PUNCT
fbem-25626	290	16	.	.	PUNCT
fbem-25626	291	1	study	study	NOUN
fbem-25626	291	2	on	on	ADP
fbem-25626	291	3	the	the	DET
fbem-25626	291	4	model	model	NOUN
fbem-25626	291	5	of	of	ADP
fbem-25626	291	6	cpi	cpi	PROPN
fbem-25626	291	7	prediction	prediction	NOUN
fbem-25626	291	8	based	base	VERB
fbem-25626	291	9	on	on	ADP
fbem-25626	291	10	bp	bp	PROPN
fbem-25626	291	11	neural	neural	ADJ
fbem-25626	291	12	network	network	NOUN
fbem-25626	291	13	.	.	PUNCT
fbem-25626	292	1	573–576	573–576	NUM
fbem-25626	292	2	.	.	PUNCT
fbem-25626	293	1	https://doi.org/10.1109/itcs.2010.147	https://doi.org/10.1109/itcs.2010.147	NOUN
fbem-25626	293	2	[	[	X
fbem-25626	293	3	30	30	NUM
fbem-25626	293	4	]	]	X
fbem-25626	293	5	zahara	zahara	PROPN
fbem-25626	293	6	,	,	PUNCT
fbem-25626	293	7	s.	s.	PROPN
fbem-25626	293	8	&	&	CCONJ
fbem-25626	293	9	sugianto	sugianto	PROPN
fbem-25626	293	10	.	.	PUNCT
fbem-25626	294	1	(	(	PUNCT
fbem-25626	294	2	2020	2020	NUM
fbem-25626	294	3	)	)	PUNCT
fbem-25626	294	4	.	.	PUNCT
fbem-25626	295	1	multivariate	multivariate	NOUN
fbem-25626	295	2	time	time	PROPN
fbem-25626	295	3	series	series	PROPN
fbem-25626	295	4	forecasting	forecasting	PROPN
fbem-25626	295	5	based	base	VERB
fbem-25626	295	6	cloud	cloud	PROPN
fbem-25626	295	7	computing	computing	NOUN
fbem-25626	295	8	for	for	ADP
fbem-25626	295	9	consumer	consumer	NOUN
fbem-25626	295	10	price	price	NOUN
fbem-25626	295	11	index	index	NOUN
fbem-25626	295	12	using	use	VERB
fbem-25626	295	13	deep	deep	ADJ
fbem-25626	295	14	learning	learning	NOUN
fbem-25626	295	15	algorithms	algorithm	NOUN
fbem-25626	295	16	.	.	PUNCT
fbem-25626	296	1	2020	2020	NUM
fbem-25626	296	2	3rd	3rd	ADJ
fbem-25626	296	3	international	international	ADJ
fbem-25626	296	4	seminar	seminar	NOUN
fbem-25626	296	5	on	on	ADP
fbem-25626	296	6	research	research	NOUN
fbem-25626	296	7	of	of	ADP
fbem-25626	296	8	information	information	NOUN
fbem-25626	296	9	technology	technology	NOUN
fbem-25626	296	10	and	and	CCONJ
fbem-25626	296	11	intelligent	intelligent	ADJ
fbem-25626	296	12	systems	system	NOUN
fbem-25626	296	13	(	(	PUNCT
fbem-25626	296	14	isriti	isriti	ADJ
fbem-25626	296	15	)	)	PUNCT
fbem-25626	296	16	,	,	PUNCT
fbem-25626	297	1	338–343	338–343	NUM
fbem-25626	297	2	.	.	PUNCT
fbem-25626	298	1	https://doi.org/10.1109/isriti51436.2020.9315465	https://doi.org/10.1109/isriti51436.2020.9315465	PROPN
fbem-25626	299	1	https://doi.org/10.1002/for.2350	https://doi.org/10.1002/for.2350	PROPN
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fbem-25626	299	3	https://doi.org/10.1016/j.procs.2014.05.335	https://doi.org/10.1016/j.procs.2014.05.335	PROPN
fbem-25626	299	4	https://doi.org/10.1109/icina.2010.5636416	https://doi.org/10.1109/icina.2010.5636416	PROPN
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fbem-25626	299	10	https://doi.org/10.1111/rssa.12314	https://doi.org/10.1111/rssa.12314	VERB
fbem-25626	299	11	https://doi.org/10.1109/icdsba.2018.00069	https://doi.org/10.1109/icdsba.2018.00069	NOUN
fbem-25626	299	12	https://doi.org/10.1007/978-3-030-89691-1_4	https://doi.org/10.1007/978-3-030-89691-1_4	NUM
fbem-25626	299	13	https://doi.org/10.1007/s42979-022-01019-x	https://doi.org/10.1007/s42979-022-01019-x	NOUN
fbem-25626	299	14	https://doi.org/10.18517/ijaseit.10.3.10813	https://doi.org/10.18517/ijaseit.10.3.10813	PROPN
fbem-25626	299	15	https://doi.org/10.1007/978-3-031-45438-7_9	https://doi.org/10.1007/978-3-031-45438-7_9	ADV
fbem-25626	299	16	https://doi.org/10.1088/1742-6596/1456/1/012026	https://doi.org/10.1088/1742-6596/1456/1/012026	PROPN
fbem-25626	299	17	https://doi.org/10.1088/1742-6596/1456/1/012026	https://doi.org/10.1088/1742-6596/1456/1/012026	PROPN
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fbem-25626	300	2	https://doi.org/10.1088/1742-6596/1737/1/012018	https://doi.org/10.1088/1742-6596/1737/1/012018	PROPN
fbem-25626	301	1	https://doi.org/10.1371/journal.pone.0262009	https://doi.org/10.1371/journal.pone.0262009	PROPN
fbem-25626	301	2	https://doi.org/10.1088/1742-6596/1456/1/012022	https://doi.org/10.1088/1742-6596/1456/1/012022	PROPN
fbem-25626	301	3	https://doi.org/10.1109/ssci47803.2020.9308309	https://doi.org/10.1109/ssci47803.2020.9308309	PROPN
fbem-25626	301	4	https://doi.org/10.26531/vnbu2021.252.01	https://doi.org/10.26531/vnbu2021.252.01	PROPN
fbem-25626	301	5	https://doi.org/10.1051/shsconf/202110710002	https://doi.org/10.1051/shsconf/202110710002	ADP
fbem-25626	301	6	https://doi.org/10.1109/icmla.2018.00227	https://doi.org/10.1109/icmla.2018.00227	PROPN
fbem-25626	301	7	https://doi.org/10.1109/itcs.2010.147	https://doi.org/10.1109/itcs.2010.147	NOUN
fbem-25626	301	8	https://doi.org/10.1109/isriti51436.2020.9315465	https://doi.org/10.1109/isriti51436.2020.9315465	NOUN