id	sid	tid	token	lemma	pos
ajst-26910	1	1	academic	academic	ADJ
ajst-26910	1	2	journal	journal	NOUN
ajst-26910	1	3	of	of	ADP
ajst-26910	1	4	science	science	NOUN
ajst-26910	1	5	and	and	CCONJ
ajst-26910	1	6	technology	technology	NOUN
ajst-26910	1	7	issn	issn	NOUN
ajst-26910	1	8	:	:	PUNCT
ajst-26910	1	9	2771	2771	NUM
ajst-26910	1	10	-	-	SYM
ajst-26910	1	11	3032	3032	NUM
ajst-26910	1	12	|	|	NOUN
ajst-26910	1	13	vol	vol	NOUN
ajst-26910	1	14	.	.	PROPN
ajst-26910	1	15	13	13	NUM
ajst-26910	1	16	,	,	PUNCT
ajst-26910	1	17	no	no	INTJ
ajst-26910	1	18	.	.	NOUN
ajst-26910	1	19	1	1	NUM
ajst-26910	1	20	,	,	PUNCT
ajst-26910	1	21	2024	2024	NUM
ajst-26910	1	22	193	193	NUM
ajst-26910	1	23	time	time	NOUN
ajst-26910	1	24	series	series	NOUN
ajst-26910	1	25	prediction	prediction	NOUN
ajst-26910	1	26	method	method	NOUN
ajst-26910	1	27	for	for	ADP
ajst-26910	1	28	meteorological	meteorological	ADJ
ajst-26910	1	29	data	datum	NOUN
ajst-26910	1	30	based	base	VERB
ajst-26910	1	31	on	on	ADP
ajst-26910	1	32	the	the	DET
ajst-26910	1	33	arima‐lstm	arima‐lstm	NOUN
ajst-26910	1	34	model	model	PROPN
ajst-26910	1	35	feifan	feifan	PROPN
ajst-26910	1	36	ji	ji	PROPN
ajst-26910	1	37	university	university	PROPN
ajst-26910	1	38	of	of	ADP
ajst-26910	1	39	waterloo	waterloo	PROPN
ajst-26910	1	40	,	,	PUNCT
ajst-26910	1	41	waterloo	waterloo	PROPN
ajst-26910	1	42	,	,	PUNCT
ajst-26910	1	43	canada	canada	PROPN
ajst-26910	1	44	abstract	abstract	NOUN
ajst-26910	1	45	:	:	PUNCT
ajst-26910	1	46	the	the	DET
ajst-26910	1	47	purpose	purpose	NOUN
ajst-26910	1	48	of	of	ADP
ajst-26910	1	49	this	this	DET
ajst-26910	1	50	article	article	NOUN
ajst-26910	1	51	is	be	AUX
ajst-26910	1	52	to	to	PART
ajst-26910	1	53	explore	explore	VERB
ajst-26910	1	54	and	and	CCONJ
ajst-26910	1	55	verify	verify	VERB
ajst-26910	1	56	the	the	DET
ajst-26910	1	57	effectiveness	effectiveness	NOUN
ajst-26910	1	58	and	and	CCONJ
ajst-26910	1	59	advantages	advantage	NOUN
ajst-26910	1	60	of	of	ADP
ajst-26910	1	61	arima	arima	NOUN
ajst-26910	1	62	-	-	PUNCT
ajst-26910	1	63	lstm	lstm	NOUN
ajst-26910	1	64	hybrid	hybrid	NOUN
ajst-26910	1	65	model	model	NOUN
ajst-26910	1	66	in	in	ADP
ajst-26910	1	67	meteorological	meteorological	ADJ
ajst-26910	1	68	data	datum	NOUN
ajst-26910	1	69	time	time	NOUN
ajst-26910	1	70	series	series	PROPN
ajst-26910	1	71	prediction	prediction	PROPN
ajst-26910	1	72	.	.	PUNCT
ajst-26910	2	1	in	in	ADP
ajst-26910	2	2	this	this	DET
ajst-26910	2	3	article	article	NOUN
ajst-26910	2	4	,	,	PUNCT
ajst-26910	2	5	firstly	firstly	ADV
ajst-26910	2	6	,	,	PUNCT
ajst-26910	2	7	the	the	DET
ajst-26910	2	8	meteorological	meteorological	ADJ
ajst-26910	2	9	data	datum	NOUN
ajst-26910	2	10	are	be	AUX
ajst-26910	2	11	pre	pre	ADJ
ajst-26910	2	12	-	-	VERB
ajst-26910	2	13	processed	process	VERB
ajst-26910	2	14	,	,	PUNCT
ajst-26910	2	15	including	include	VERB
ajst-26910	2	16	data	datum	NOUN
ajst-26910	2	17	cleaning	cleaning	NOUN
ajst-26910	2	18	,	,	PUNCT
ajst-26910	2	19	abnormal	abnormal	ADJ
ajst-26910	2	20	value	value	NOUN
ajst-26910	2	21	detection	detection	NOUN
ajst-26910	2	22	and	and	CCONJ
ajst-26910	2	23	processing	processing	NOUN
ajst-26910	2	24	,	,	PUNCT
ajst-26910	2	25	and	and	CCONJ
ajst-26910	2	26	standardization	standardization	NOUN
ajst-26910	2	27	operation	operation	NOUN
ajst-26910	2	28	to	to	PART
ajst-26910	2	29	ensure	ensure	VERB
ajst-26910	2	30	the	the	DET
ajst-26910	2	31	quality	quality	NOUN
ajst-26910	2	32	and	and	CCONJ
ajst-26910	2	33	consistency	consistency	NOUN
ajst-26910	2	34	of	of	ADP
ajst-26910	2	35	the	the	DET
ajst-26910	2	36	data	datum	NOUN
ajst-26910	2	37	.	.	PUNCT
ajst-26910	3	1	based	base	VERB
ajst-26910	3	2	on	on	ADP
ajst-26910	3	3	this	this	PRON
ajst-26910	3	4	,	,	PUNCT
ajst-26910	3	5	the	the	DET
ajst-26910	3	6	arima	arima	NOUN
ajst-26910	3	7	-	-	PUNCT
ajst-26910	3	8	lstm	lstm	NOUN
ajst-26910	3	9	hybrid	hybrid	NOUN
ajst-26910	3	10	model	model	NOUN
ajst-26910	3	11	is	be	AUX
ajst-26910	3	12	constructed	construct	VERB
ajst-26910	3	13	.	.	PUNCT
ajst-26910	4	1	this	this	DET
ajst-26910	4	2	model	model	NOUN
ajst-26910	4	3	combines	combine	VERB
ajst-26910	4	4	the	the	DET
ajst-26910	4	5	ability	ability	NOUN
ajst-26910	4	6	of	of	ADP
ajst-26910	4	7	arima	arima	PROPN
ajst-26910	4	8	(	(	PUNCT
ajst-26910	4	9	autoregressive	autoregressive	ADJ
ajst-26910	4	10	integral	integral	ADJ
ajst-26910	4	11	moving	move	VERB
ajst-26910	4	12	average	average	ADJ
ajst-26910	4	13	model	model	NOUN
ajst-26910	4	14	)	)	PUNCT
ajst-26910	4	15	model	model	NOUN
ajst-26910	4	16	in	in	ADP
ajst-26910	4	17	capturing	capture	VERB
ajst-26910	4	18	linear	linear	ADJ
ajst-26910	4	19	relationship	relationship	NOUN
ajst-26910	4	20	and	and	CCONJ
ajst-26910	4	21	short	short	ADJ
ajst-26910	4	22	-	-	PUNCT
ajst-26910	4	23	term	term	NOUN
ajst-26910	4	24	fluctuation	fluctuation	NOUN
ajst-26910	4	25	,	,	PUNCT
ajst-26910	4	26	and	and	CCONJ
ajst-26910	4	27	the	the	DET
ajst-26910	4	28	powerful	powerful	ADJ
ajst-26910	4	29	ability	ability	NOUN
ajst-26910	4	30	of	of	ADP
ajst-26910	4	31	lstm	lstm	NOUN
ajst-26910	4	32	(	(	PUNCT
ajst-26910	4	33	long	long	ADJ
ajst-26910	4	34	-	-	PUNCT
ajst-26910	4	35	term	term	NOUN
ajst-26910	4	36	and	and	CCONJ
ajst-26910	4	37	short	short	ADJ
ajst-26910	4	38	-	-	PUNCT
ajst-26910	4	39	term	term	NOUN
ajst-26910	4	40	memory	memory	NOUN
ajst-26910	4	41	network	network	NOUN
ajst-26910	4	42	)	)	PUNCT
ajst-26910	4	43	in	in	ADP
ajst-26910	4	44	dealing	deal	VERB
ajst-26910	4	45	with	with	ADP
ajst-26910	4	46	nonlinear	nonlinear	ADJ
ajst-26910	4	47	problems	problem	NOUN
ajst-26910	4	48	and	and	CCONJ
ajst-26910	4	49	long	long	ADJ
ajst-26910	4	50	-	-	PUNCT
ajst-26910	4	51	term	term	NOUN
ajst-26910	4	52	dependence	dependence	NOUN
ajst-26910	4	53	.	.	PUNCT
ajst-26910	5	1	the	the	DET
ajst-26910	5	2	experimental	experimental	ADJ
ajst-26910	5	3	results	result	NOUN
ajst-26910	5	4	show	show	VERB
ajst-26910	5	5	that	that	SCONJ
ajst-26910	5	6	the	the	DET
ajst-26910	5	7	arima	arima	NOUN
ajst-26910	5	8	-	-	PUNCT
ajst-26910	5	9	lstm	lstm	NOUN
ajst-26910	5	10	hybrid	hybrid	NOUN
ajst-26910	5	11	model	model	NOUN
ajst-26910	5	12	has	have	VERB
ajst-26910	5	13	obvious	obvious	ADJ
ajst-26910	5	14	advantages	advantage	NOUN
ajst-26910	5	15	in	in	ADP
ajst-26910	5	16	forecasting	forecast	VERB
ajst-26910	5	17	meteorological	meteorological	ADJ
ajst-26910	5	18	data	datum	NOUN
ajst-26910	5	19	.	.	PUNCT
ajst-26910	6	1	compared	compare	VERB
ajst-26910	6	2	with	with	ADP
ajst-26910	6	3	single	single	ADJ
ajst-26910	6	4	arima	arima	NOUN
ajst-26910	6	5	model	model	NOUN
ajst-26910	6	6	and	and	CCONJ
ajst-26910	6	7	lstm	lstm	NOUN
ajst-26910	6	8	network	network	NOUN
ajst-26910	6	9	,	,	PUNCT
ajst-26910	6	10	the	the	DET
ajst-26910	6	11	hybrid	hybrid	NOUN
ajst-26910	6	12	model	model	NOUN
ajst-26910	6	13	has	have	AUX
ajst-26910	6	14	improved	improve	VERB
ajst-26910	6	15	the	the	DET
ajst-26910	6	16	prediction	prediction	NOUN
ajst-26910	6	17	accuracy	accuracy	NOUN
ajst-26910	6	18	and	and	CCONJ
ajst-26910	6	19	stability	stability	NOUN
ajst-26910	6	20	.	.	PUNCT
ajst-26910	7	1	the	the	DET
ajst-26910	7	2	model	model	NOUN
ajst-26910	7	3	not	not	PART
ajst-26910	7	4	only	only	ADV
ajst-26910	7	5	improves	improve	VERB
ajst-26910	7	6	the	the	DET
ajst-26910	7	7	prediction	prediction	NOUN
ajst-26910	7	8	accuracy	accuracy	NOUN
ajst-26910	7	9	and	and	CCONJ
ajst-26910	7	10	stability	stability	NOUN
ajst-26910	7	11	,	,	PUNCT
ajst-26910	7	12	but	but	CCONJ
ajst-26910	7	13	also	also	ADV
ajst-26910	7	14	provides	provide	VERB
ajst-26910	7	15	a	a	DET
ajst-26910	7	16	reliable	reliable	ADJ
ajst-26910	7	17	scientific	scientific	ADJ
ajst-26910	7	18	basis	basis	NOUN
ajst-26910	7	19	for	for	ADP
ajst-26910	7	20	meteorological	meteorological	ADJ
ajst-26910	7	21	prediction	prediction	NOUN
ajst-26910	7	22	and	and	CCONJ
ajst-26910	7	23	decision	decision	NOUN
ajst-26910	7	24	support	support	NOUN
ajst-26910	7	25	.	.	PUNCT
ajst-26910	8	1	keywords	keyword	NOUN
ajst-26910	8	2	:	:	PUNCT
ajst-26910	8	3	arima	arima	NOUN
ajst-26910	8	4	-	-	PUNCT
ajst-26910	8	5	lstm	lstm	ADJ
ajst-26910	8	6	hybrid	hybrid	NOUN
ajst-26910	8	7	model	model	NOUN
ajst-26910	8	8	,	,	PUNCT
ajst-26910	8	9	meteorological	meteorological	ADJ
ajst-26910	8	10	data	datum	NOUN
ajst-26910	8	11	,	,	PUNCT
ajst-26910	8	12	time	time	NOUN
ajst-26910	8	13	series	series	PROPN
ajst-26910	8	14	prediction	prediction	PROPN
ajst-26910	8	15	,	,	PUNCT
ajst-26910	8	16	prediction	prediction	NOUN
ajst-26910	8	17	accuracy	accuracy	NOUN
ajst-26910	8	18	.	.	PUNCT
ajst-26910	9	1	1	1	X
ajst-26910	9	2	.	.	X
ajst-26910	9	3	introduction	introduction	NOUN
ajst-26910	9	4	as	as	ADP
ajst-26910	9	5	an	an	DET
ajst-26910	9	6	important	important	ADJ
ajst-26910	9	7	subject	subject	NOUN
ajst-26910	9	8	in	in	ADP
ajst-26910	9	9	the	the	DET
ajst-26910	9	10	cross	cross	NOUN
ajst-26910	9	11	field	field	NOUN
ajst-26910	9	12	of	of	ADP
ajst-26910	9	13	atmospheric	atmospheric	ADJ
ajst-26910	9	14	science	science	NOUN
ajst-26910	9	15	and	and	CCONJ
ajst-26910	9	16	data	datum	NOUN
ajst-26910	9	17	science	science	NOUN
ajst-26910	9	18	,	,	PUNCT
ajst-26910	9	19	the	the	DET
ajst-26910	9	20	time	time	NOUN
ajst-26910	9	21	series	series	PROPN
ajst-26910	9	22	prediction	prediction	NOUN
ajst-26910	9	23	of	of	ADP
ajst-26910	9	24	meteorological	meteorological	ADJ
ajst-26910	9	25	data	datum	NOUN
ajst-26910	9	26	has	have	AUX
ajst-26910	9	27	always	always	ADV
ajst-26910	9	28	been	be	AUX
ajst-26910	9	29	widely	widely	ADV
ajst-26910	9	30	concerned	concerned	ADJ
ajst-26910	9	31	[	[	X
ajst-26910	9	32	1	1	NUM
ajst-26910	9	33	]	]	PUNCT
ajst-26910	9	34	.	.	PUNCT
ajst-26910	10	1	meteorological	meteorological	ADJ
ajst-26910	10	2	data	datum	NOUN
ajst-26910	10	3	is	be	AUX
ajst-26910	10	4	not	not	PART
ajst-26910	10	5	only	only	ADV
ajst-26910	10	6	related	relate	VERB
ajst-26910	10	7	to	to	ADP
ajst-26910	10	8	people	people	NOUN
ajst-26910	10	9	's	's	PART
ajst-26910	10	10	daily	daily	ADJ
ajst-26910	10	11	life	life	NOUN
ajst-26910	10	12	,	,	PUNCT
ajst-26910	10	13	but	but	CCONJ
ajst-26910	10	14	also	also	ADV
ajst-26910	10	15	plays	play	VERB
ajst-26910	10	16	a	a	DET
ajst-26910	10	17	vital	vital	ADJ
ajst-26910	10	18	role	role	NOUN
ajst-26910	10	19	in	in	ADP
ajst-26910	10	20	agricultural	agricultural	ADJ
ajst-26910	10	21	production	production	NOUN
ajst-26910	10	22	,	,	PUNCT
ajst-26910	10	23	aviation	aviation	NOUN
ajst-26910	10	24	safety	safety	NOUN
ajst-26910	10	25	and	and	CCONJ
ajst-26910	10	26	water	water	NOUN
ajst-26910	10	27	resources	resource	NOUN
ajst-26910	10	28	management	management	NOUN
ajst-26910	11	1	[	[	X
ajst-26910	11	2	2	2	NUM
ajst-26910	11	3	]	]	PUNCT
ajst-26910	11	4	.	.	PUNCT
ajst-26910	12	1	however	however	ADV
ajst-26910	12	2	,	,	PUNCT
ajst-26910	12	3	the	the	DET
ajst-26910	12	4	meteorological	meteorological	ADJ
ajst-26910	12	5	system	system	NOUN
ajst-26910	12	6	is	be	AUX
ajst-26910	12	7	a	a	DET
ajst-26910	12	8	highly	highly	ADV
ajst-26910	12	9	complex	complex	ADJ
ajst-26910	12	10	nonlinear	nonlinear	ADJ
ajst-26910	12	11	system	system	NOUN
ajst-26910	12	12	,	,	PUNCT
ajst-26910	12	13	which	which	PRON
ajst-26910	12	14	is	be	AUX
ajst-26910	12	15	influenced	influence	VERB
ajst-26910	12	16	by	by	ADP
ajst-26910	12	17	many	many	ADJ
ajst-26910	12	18	factors	factor	NOUN
ajst-26910	12	19	,	,	PUNCT
ajst-26910	12	20	and	and	CCONJ
ajst-26910	12	21	these	these	DET
ajst-26910	12	22	factors	factor	NOUN
ajst-26910	12	23	interact	interact	VERB
ajst-26910	12	24	with	with	ADP
ajst-26910	12	25	each	each	DET
ajst-26910	12	26	other	other	ADJ
ajst-26910	12	27	to	to	PART
ajst-26910	12	28	form	form	VERB
ajst-26910	12	29	a	a	DET
ajst-26910	12	30	complex	complex	ADJ
ajst-26910	12	31	and	and	CCONJ
ajst-26910	12	32	changeable	changeable	ADJ
ajst-26910	12	33	meteorological	meteorological	ADJ
ajst-26910	12	34	phenomenon	phenomenon	NOUN
ajst-26910	12	35	[	[	X
ajst-26910	12	36	3	3	NUM
ajst-26910	12	37	]	]	PUNCT
ajst-26910	12	38	.	.	PUNCT
ajst-26910	13	1	therefore	therefore	ADV
ajst-26910	13	2	,	,	PUNCT
ajst-26910	13	3	how	how	SCONJ
ajst-26910	13	4	to	to	PART
ajst-26910	13	5	accurately	accurately	ADV
ajst-26910	13	6	predict	predict	VERB
ajst-26910	13	7	the	the	DET
ajst-26910	13	8	time	time	NOUN
ajst-26910	13	9	series	series	NOUN
ajst-26910	13	10	of	of	ADP
ajst-26910	13	11	meteorological	meteorological	ADJ
ajst-26910	13	12	data	datum	NOUN
ajst-26910	13	13	has	have	AUX
ajst-26910	13	14	become	become	VERB
ajst-26910	13	15	a	a	DET
ajst-26910	13	16	challenging	challenging	ADJ
ajst-26910	13	17	problem	problem	NOUN
ajst-26910	13	18	[	[	X
ajst-26910	13	19	4	4	NUM
ajst-26910	13	20	]	]	PUNCT
ajst-26910	13	21	.	.	PUNCT
ajst-26910	14	1	traditional	traditional	ADJ
ajst-26910	14	2	meteorological	meteorological	ADJ
ajst-26910	14	3	forecasting	forecasting	NOUN
ajst-26910	14	4	methods	method	NOUN
ajst-26910	14	5	mainly	mainly	ADV
ajst-26910	14	6	rely	rely	VERB
ajst-26910	14	7	on	on	ADP
ajst-26910	14	8	physical	physical	ADJ
ajst-26910	14	9	models	model	NOUN
ajst-26910	14	10	and	and	CCONJ
ajst-26910	14	11	statistical	statistical	ADJ
ajst-26910	14	12	models	model	NOUN
ajst-26910	14	13	[	[	X
ajst-26910	14	14	5	5	NUM
ajst-26910	14	15	]	]	PUNCT
ajst-26910	14	16	.	.	PUNCT
ajst-26910	15	1	physical	physical	ADJ
ajst-26910	15	2	models	model	NOUN
ajst-26910	15	3	predict	predict	VERB
ajst-26910	15	4	meteorological	meteorological	ADJ
ajst-26910	15	5	changes	change	NOUN
ajst-26910	15	6	by	by	ADP
ajst-26910	15	7	simulating	simulate	VERB
ajst-26910	15	8	physical	physical	ADJ
ajst-26910	15	9	processes	process	NOUN
ajst-26910	15	10	in	in	ADP
ajst-26910	15	11	the	the	DET
ajst-26910	15	12	atmosphere	atmosphere	NOUN
ajst-26910	15	13	,	,	PUNCT
ajst-26910	15	14	but	but	CCONJ
ajst-26910	15	15	this	this	DET
ajst-26910	15	16	method	method	NOUN
ajst-26910	15	17	requires	require	VERB
ajst-26910	15	18	a	a	DET
ajst-26910	15	19	lot	lot	NOUN
ajst-26910	15	20	of	of	ADP
ajst-26910	15	21	computing	compute	VERB
ajst-26910	15	22	resources	resource	NOUN
ajst-26910	15	23	and	and	CCONJ
ajst-26910	15	24	accurate	accurate	ADJ
ajst-26910	15	25	initial	initial	ADJ
ajst-26910	15	26	conditions	condition	NOUN
ajst-26910	15	27	,	,	PUNCT
ajst-26910	15	28	and	and	CCONJ
ajst-26910	15	29	it	it	PRON
ajst-26910	15	30	may	may	AUX
ajst-26910	15	31	be	be	AUX
ajst-26910	15	32	difficult	difficult	ADJ
ajst-26910	15	33	to	to	PART
ajst-26910	15	34	accurately	accurately	ADV
ajst-26910	15	35	simulate	simulate	VERB
ajst-26910	15	36	some	some	DET
ajst-26910	15	37	complex	complex	ADJ
ajst-26910	15	38	meteorological	meteorological	ADJ
ajst-26910	15	39	phenomena	phenomenon	NOUN
ajst-26910	16	1	[	[	X
ajst-26910	16	2	6	6	NUM
ajst-26910	16	3	]	]	PUNCT
ajst-26910	16	4	.	.	PUNCT
ajst-26910	17	1	statistical	statistical	ADJ
ajst-26910	17	2	models	model	NOUN
ajst-26910	17	3	make	make	VERB
ajst-26910	17	4	predictions	prediction	NOUN
ajst-26910	17	5	based	base	VERB
ajst-26910	17	6	on	on	ADP
ajst-26910	17	7	historical	historical	ADJ
ajst-26910	17	8	data	datum	NOUN
ajst-26910	17	9	,	,	PUNCT
ajst-26910	17	10	but	but	CCONJ
ajst-26910	17	11	it	it	PRON
ajst-26910	17	12	is	be	AUX
ajst-26910	17	13	often	often	ADV
ajst-26910	17	14	difficult	difficult	ADJ
ajst-26910	17	15	to	to	PART
ajst-26910	17	16	capture	capture	VERB
ajst-26910	17	17	the	the	DET
ajst-26910	17	18	nonlinear	nonlinear	ADJ
ajst-26910	17	19	relationship	relationship	NOUN
ajst-26910	17	20	and	and	CCONJ
ajst-26910	17	21	long	long	ADJ
ajst-26910	17	22	-	-	PUNCT
ajst-26910	17	23	term	term	NOUN
ajst-26910	17	24	dependence	dependence	NOUN
ajst-26910	17	25	in	in	ADP
ajst-26910	17	26	the	the	DET
ajst-26910	17	27	data	datum	NOUN
ajst-26910	17	28	.	.	PUNCT
ajst-26910	18	1	with	with	ADP
ajst-26910	18	2	the	the	DET
ajst-26910	18	3	rapid	rapid	ADJ
ajst-26910	18	4	development	development	NOUN
ajst-26910	18	5	of	of	ADP
ajst-26910	18	6	data	datum	NOUN
ajst-26910	18	7	science	science	NOUN
ajst-26910	18	8	and	and	CCONJ
ajst-26910	18	9	machine	machine	NOUN
ajst-26910	18	10	learning	learn	VERB
ajst-26910	18	11	technology	technology	NOUN
ajst-26910	18	12	,	,	PUNCT
ajst-26910	18	13	especially	especially	ADV
ajst-26910	18	14	the	the	DET
ajst-26910	18	15	rise	rise	NOUN
ajst-26910	18	16	of	of	ADP
ajst-26910	18	17	deep	deep	ADJ
ajst-26910	18	18	learning	learning	NOUN
ajst-26910	18	19	technology	technology	NOUN
ajst-26910	18	20	,	,	PUNCT
ajst-26910	18	21	it	it	PRON
ajst-26910	18	22	provides	provide	VERB
ajst-26910	18	23	new	new	ADJ
ajst-26910	18	24	ideas	idea	NOUN
ajst-26910	18	25	and	and	CCONJ
ajst-26910	18	26	methods	method	NOUN
ajst-26910	18	27	for	for	ADP
ajst-26910	18	28	meteorological	meteorological	ADJ
ajst-26910	18	29	data	datum	NOUN
ajst-26910	18	30	time	time	NOUN
ajst-26910	18	31	series	series	PROPN
ajst-26910	18	32	prediction	prediction	NOUN
ajst-26910	18	33	[	[	X
ajst-26910	18	34	7	7	NUM
ajst-26910	18	35	]	]	PUNCT
ajst-26910	18	36	.	.	PUNCT
ajst-26910	19	1	the	the	DET
ajst-26910	19	2	purpose	purpose	NOUN
ajst-26910	19	3	of	of	ADP
ajst-26910	19	4	this	this	DET
ajst-26910	19	5	study	study	NOUN
ajst-26910	19	6	is	be	AUX
ajst-26910	19	7	to	to	PART
ajst-26910	19	8	explore	explore	VERB
ajst-26910	19	9	the	the	DET
ajst-26910	19	10	method	method	NOUN
ajst-26910	19	11	of	of	ADP
ajst-26910	19	12	forecasting	forecast	VERB
ajst-26910	19	13	meteorological	meteorological	ADJ
ajst-26910	19	14	data	datum	NOUN
ajst-26910	19	15	time	time	NOUN
ajst-26910	19	16	series	series	NOUN
ajst-26910	19	17	by	by	ADP
ajst-26910	19	18	using	use	VERB
ajst-26910	19	19	arimalstm	arimalstm	PROPN
ajst-26910	19	20	mixed	mixed	ADJ
ajst-26910	19	21	model	model	NOUN
ajst-26910	19	22	.	.	PUNCT
ajst-26910	20	1	by	by	ADP
ajst-26910	20	2	combining	combine	VERB
ajst-26910	20	3	the	the	DET
ajst-26910	20	4	traditional	traditional	ADJ
ajst-26910	20	5	arima	arima	NOUN
ajst-26910	20	6	model	model	NOUN
ajst-26910	20	7	with	with	ADP
ajst-26910	20	8	the	the	DET
ajst-26910	20	9	lstm	lstm	PROPN
ajst-26910	20	10	network	network	NOUN
ajst-26910	20	11	in	in	ADP
ajst-26910	20	12	deep	deep	ADJ
ajst-26910	20	13	learning	learning	NOUN
ajst-26910	20	14	,	,	PUNCT
ajst-26910	20	15	we	we	PRON
ajst-26910	20	16	can	can	AUX
ajst-26910	20	17	give	give	VERB
ajst-26910	20	18	full	full	ADJ
ajst-26910	20	19	play	play	NOUN
ajst-26910	20	20	to	to	ADP
ajst-26910	20	21	their	their	PRON
ajst-26910	20	22	advantages	advantage	NOUN
ajst-26910	20	23	in	in	ADP
ajst-26910	20	24	capturing	capture	VERB
ajst-26910	20	25	linear	linear	ADJ
ajst-26910	20	26	and	and	CCONJ
ajst-26910	20	27	nonlinear	nonlinear	ADJ
ajst-26910	20	28	relationships	relationship	NOUN
ajst-26910	20	29	and	and	CCONJ
ajst-26910	20	30	improve	improve	VERB
ajst-26910	20	31	the	the	DET
ajst-26910	20	32	stability	stability	NOUN
ajst-26910	20	33	of	of	ADP
ajst-26910	20	34	meteorological	meteorological	ADJ
ajst-26910	20	35	prediction	prediction	NOUN
ajst-26910	20	36	.	.	PUNCT
ajst-26910	21	1	this	this	PRON
ajst-26910	21	2	is	be	AUX
ajst-26910	21	3	not	not	PART
ajst-26910	21	4	only	only	ADV
ajst-26910	21	5	of	of	ADP
ajst-26910	21	6	great	great	ADJ
ajst-26910	21	7	significance	significance	NOUN
ajst-26910	21	8	for	for	ADP
ajst-26910	21	9	improving	improve	VERB
ajst-26910	21	10	the	the	DET
ajst-26910	21	11	accuracy	accuracy	NOUN
ajst-26910	21	12	and	and	CCONJ
ajst-26910	21	13	timeliness	timeliness	NOUN
ajst-26910	21	14	of	of	ADP
ajst-26910	21	15	meteorological	meteorological	ADJ
ajst-26910	21	16	forecast	forecast	NOUN
ajst-26910	21	17	,	,	PUNCT
ajst-26910	21	18	but	but	CCONJ
ajst-26910	21	19	also	also	ADV
ajst-26910	21	20	provides	provide	VERB
ajst-26910	21	21	more	more	ADV
ajst-26910	21	22	reliable	reliable	ADJ
ajst-26910	21	23	meteorological	meteorological	ADJ
ajst-26910	21	24	data	datum	NOUN
ajst-26910	21	25	support	support	NOUN
ajst-26910	21	26	for	for	ADP
ajst-26910	21	27	agricultural	agricultural	ADJ
ajst-26910	21	28	production	production	NOUN
ajst-26910	21	29	,	,	PUNCT
ajst-26910	21	30	aviation	aviation	NOUN
ajst-26910	21	31	safety	safety	NOUN
ajst-26910	21	32	,	,	PUNCT
ajst-26910	21	33	water	water	NOUN
ajst-26910	21	34	resources	resource	NOUN
ajst-26910	21	35	management	management	NOUN
ajst-26910	21	36	and	and	CCONJ
ajst-26910	21	37	other	other	ADJ
ajst-26910	21	38	fields	field	NOUN
ajst-26910	21	39	,	,	PUNCT
ajst-26910	21	40	and	and	CCONJ
ajst-26910	21	41	promotes	promote	VERB
ajst-26910	21	42	scientific	scientific	ADJ
ajst-26910	21	43	decision	decision	NOUN
ajst-26910	21	44	-	-	PUNCT
ajst-26910	21	45	making	making	NOUN
ajst-26910	21	46	and	and	CCONJ
ajst-26910	21	47	intelligent	intelligent	ADJ
ajst-26910	21	48	development	development	NOUN
ajst-26910	21	49	in	in	ADP
ajst-26910	21	50	related	related	ADJ
ajst-26910	21	51	fields	field	NOUN
ajst-26910	21	52	.	.	PUNCT
ajst-26910	22	1	2	2	X
ajst-26910	22	2	.	.	X
ajst-26910	22	3	related	relate	VERB
ajst-26910	22	4	theoretical	theoretical	ADJ
ajst-26910	22	5	basis	basis	NOUN
ajst-26910	22	6	2.1	2.1	NUM
ajst-26910	22	7	.	.	PUNCT
ajst-26910	23	1	fundamentals	fundamental	NOUN
ajst-26910	23	2	of	of	ADP
ajst-26910	23	3	time	time	NOUN
ajst-26910	23	4	series	series	NOUN
ajst-26910	23	5	analysis	analysis	NOUN
ajst-26910	23	6	in	in	ADP
ajst-26910	23	7	the	the	DET
ajst-26910	23	8	field	field	NOUN
ajst-26910	23	9	of	of	ADP
ajst-26910	23	10	time	time	NOUN
ajst-26910	23	11	series	series	PROPN
ajst-26910	23	12	analysis	analysis	NOUN
ajst-26910	23	13	,	,	PUNCT
ajst-26910	23	14	understanding	understand	VERB
ajst-26910	23	15	the	the	DET
ajst-26910	23	16	law	law	NOUN
ajst-26910	23	17	of	of	ADP
ajst-26910	23	18	data	datum	NOUN
ajst-26910	23	19	changing	change	VERB
ajst-26910	23	20	with	with	ADP
ajst-26910	23	21	time	time	NOUN
ajst-26910	23	22	is	be	AUX
ajst-26910	23	23	the	the	DET
ajst-26910	23	24	core	core	NOUN
ajst-26910	23	25	task	task	NOUN
ajst-26910	23	26	in	in	ADP
ajst-26910	23	27	many	many	ADJ
ajst-26910	23	28	disciplines	discipline	NOUN
ajst-26910	23	29	and	and	CCONJ
ajst-26910	23	30	fields	field	NOUN
ajst-26910	23	31	[	[	X
ajst-26910	23	32	8	8	NUM
ajst-26910	23	33	]	]	PUNCT
ajst-26910	23	34	.	.	PUNCT
ajst-26910	24	1	time	time	PROPN
ajst-26910	24	2	series	series	PROPN
ajst-26910	24	3	data	datum	NOUN
ajst-26910	24	4	widely	widely	ADV
ajst-26910	24	5	exist	exist	VERB
ajst-26910	24	6	in	in	ADP
ajst-26910	24	7	many	many	ADJ
ajst-26910	24	8	fields	field	NOUN
ajst-26910	24	9	,	,	PUNCT
ajst-26910	24	10	such	such	ADJ
ajst-26910	24	11	as	as	ADP
ajst-26910	24	12	economy	economy	NOUN
ajst-26910	24	13	,	,	PUNCT
ajst-26910	24	14	finance	finance	NOUN
ajst-26910	24	15	,	,	PUNCT
ajst-26910	24	16	meteorology	meteorology	NOUN
ajst-26910	24	17	,	,	PUNCT
ajst-26910	24	18	engineering	engineering	NOUN
ajst-26910	24	19	and	and	CCONJ
ajst-26910	24	20	so	so	ADV
ajst-26910	24	21	on	on	ADV
ajst-26910	24	22	.	.	PUNCT
ajst-26910	25	1	accurate	accurate	ADJ
ajst-26910	25	2	prediction	prediction	NOUN
ajst-26910	25	3	of	of	ADP
ajst-26910	25	4	these	these	DET
ajst-26910	25	5	data	datum	NOUN
ajst-26910	25	6	can	can	AUX
ajst-26910	25	7	provide	provide	VERB
ajst-26910	25	8	important	important	ADJ
ajst-26910	25	9	basis	basis	NOUN
ajst-26910	25	10	for	for	ADP
ajst-26910	25	11	decision	decision	NOUN
ajst-26910	25	12	-	-	PUNCT
ajst-26910	25	13	making	making	NOUN
ajst-26910	25	14	,	,	PUNCT
ajst-26910	25	15	resource	resource	NOUN
ajst-26910	25	16	allocation	allocation	NOUN
ajst-26910	25	17	and	and	CCONJ
ajst-26910	25	18	risk	risk	NOUN
ajst-26910	25	19	management	management	NOUN
ajst-26910	25	20	.	.	PUNCT
ajst-26910	26	1	time	time	PROPN
ajst-26910	26	2	series	series	PROPN
ajst-26910	26	3	data	data	PROPN
ajst-26910	26	4	is	be	AUX
ajst-26910	26	5	a	a	DET
ajst-26910	26	6	collection	collection	NOUN
ajst-26910	26	7	of	of	ADP
ajst-26910	26	8	observation	observation	NOUN
ajst-26910	26	9	values	value	NOUN
ajst-26910	26	10	arranged	arrange	VERB
ajst-26910	26	11	in	in	ADP
ajst-26910	26	12	time	time	NOUN
ajst-26910	26	13	sequence	sequence	NOUN
ajst-26910	26	14	,	,	PUNCT
ajst-26910	26	15	which	which	PRON
ajst-26910	26	16	usually	usually	ADV
ajst-26910	26	17	has	have	VERB
ajst-26910	26	18	the	the	DET
ajst-26910	26	19	characteristics	characteristic	NOUN
ajst-26910	26	20	of	of	ADP
ajst-26910	26	21	trend	trend	NOUN
ajst-26910	26	22	,	,	PUNCT
ajst-26910	26	23	seasonality	seasonality	NOUN
ajst-26910	26	24	and	and	CCONJ
ajst-26910	26	25	random	random	ADJ
ajst-26910	26	26	fluctuation	fluctuation	NOUN
ajst-26910	27	1	[	[	X
ajst-26910	27	2	9	9	NUM
ajst-26910	27	3	]	]	PUNCT
ajst-26910	27	4	.	.	PUNCT
ajst-26910	28	1	in	in	ADP
ajst-26910	28	2	order	order	NOUN
ajst-26910	28	3	to	to	PART
ajst-26910	28	4	effectively	effectively	ADV
ajst-26910	28	5	analyze	analyze	VERB
ajst-26910	28	6	time	time	NOUN
ajst-26910	28	7	series	series	PROPN
ajst-26910	28	8	data	data	PROPN
ajst-26910	28	9	,	,	PUNCT
ajst-26910	28	10	researchers	researcher	NOUN
ajst-26910	28	11	have	have	AUX
ajst-26910	28	12	developed	develop	VERB
ajst-26910	28	13	a	a	DET
ajst-26910	28	14	series	series	NOUN
ajst-26910	28	15	of	of	ADP
ajst-26910	28	16	models	model	NOUN
ajst-26910	28	17	and	and	CCONJ
ajst-26910	28	18	methods	method	NOUN
ajst-26910	28	19	.	.	PUNCT
ajst-26910	29	1	these	these	DET
ajst-26910	29	2	models	model	NOUN
ajst-26910	29	3	are	be	AUX
ajst-26910	29	4	designed	design	VERB
ajst-26910	29	5	to	to	PART
ajst-26910	29	6	capture	capture	VERB
ajst-26910	29	7	the	the	DET
ajst-26910	29	8	potential	potential	ADJ
ajst-26910	29	9	patterns	pattern	NOUN
ajst-26910	29	10	in	in	ADP
ajst-26910	29	11	the	the	DET
ajst-26910	29	12	data	datum	NOUN
ajst-26910	29	13	,	,	PUNCT
ajst-26910	29	14	thus	thus	ADV
ajst-26910	29	15	providing	provide	VERB
ajst-26910	29	16	reliable	reliable	ADJ
ajst-26910	29	17	predictions	prediction	NOUN
ajst-26910	29	18	for	for	ADP
ajst-26910	29	19	future	future	ADJ
ajst-26910	29	20	data	datum	NOUN
ajst-26910	29	21	points	point	NOUN
ajst-26910	29	22	.	.	PUNCT
ajst-26910	30	1	time	time	PROPN
ajst-26910	30	2	series	series	PROPN
ajst-26910	30	3	analysis	analysis	NOUN
ajst-26910	30	4	not	not	PART
ajst-26910	30	5	only	only	ADV
ajst-26910	30	6	pays	pay	VERB
ajst-26910	30	7	attention	attention	NOUN
ajst-26910	30	8	to	to	ADP
ajst-26910	30	9	the	the	DET
ajst-26910	30	10	past	past	NOUN
ajst-26910	30	11	and	and	CCONJ
ajst-26910	30	12	present	present	NOUN
ajst-26910	30	13	of	of	ADP
ajst-26910	30	14	data	datum	NOUN
ajst-26910	30	15	,	,	PUNCT
ajst-26910	30	16	but	but	CCONJ
ajst-26910	30	17	also	also	ADV
ajst-26910	30	18	predicts	predict	VERB
ajst-26910	30	19	its	its	PRON
ajst-26910	30	20	future	future	ADJ
ajst-26910	30	21	trend	trend	NOUN
ajst-26910	30	22	by	by	ADP
ajst-26910	30	23	revealing	reveal	VERB
ajst-26910	30	24	the	the	DET
ajst-26910	30	25	inherent	inherent	ADJ
ajst-26910	30	26	laws	law	NOUN
ajst-26910	30	27	in	in	ADP
ajst-26910	30	28	data	datum	NOUN
ajst-26910	30	29	.	.	PUNCT
ajst-26910	31	1	2.2	2.2	NUM
ajst-26910	31	2	.	.	PUNCT
ajst-26910	32	1	arima	arima	PROPN
ajst-26910	32	2	model	model	NOUN
ajst-26910	32	3	arima	arima	PROPN
ajst-26910	32	4	is	be	AUX
ajst-26910	32	5	one	one	NUM
ajst-26910	32	6	of	of	ADP
ajst-26910	32	7	the	the	DET
ajst-26910	32	8	classic	classic	ADJ
ajst-26910	32	9	methods	method	NOUN
ajst-26910	32	10	in	in	ADP
ajst-26910	32	11	time	time	NOUN
ajst-26910	32	12	series	series	PROPN
ajst-26910	32	13	prediction	prediction	PROPN
ajst-26910	32	14	.	.	PUNCT
ajst-26910	33	1	it	it	PRON
ajst-26910	33	2	captures	capture	VERB
ajst-26910	33	3	the	the	DET
ajst-26910	33	4	linear	linear	ADJ
ajst-26910	33	5	relationship	relationship	NOUN
ajst-26910	33	6	and	and	CCONJ
ajst-26910	33	7	short	short	ADJ
ajst-26910	33	8	-	-	PUNCT
ajst-26910	33	9	term	term	NOUN
ajst-26910	33	10	fluctuation	fluctuation	NOUN
ajst-26910	33	11	in	in	ADP
ajst-26910	33	12	the	the	DET
ajst-26910	33	13	data	datum	NOUN
ajst-26910	33	14	by	by	ADP
ajst-26910	33	15	decomposing	decompose	VERB
ajst-26910	33	16	the	the	DET
ajst-26910	33	17	time	time	NOUN
ajst-26910	33	18	series	series	PROPN
ajst-26910	33	19	data	datum	NOUN
ajst-26910	33	20	into	into	ADP
ajst-26910	33	21	autoregressive	autoregressive	ADJ
ajst-26910	33	22	part	part	NOUN
ajst-26910	33	23	,	,	PUNCT
ajst-26910	33	24	differential	differential	ADJ
ajst-26910	33	25	part	part	NOUN
ajst-26910	33	26	and	and	CCONJ
ajst-26910	33	27	moving	move	VERB
ajst-26910	33	28	average	average	ADJ
ajst-26910	33	29	part	part	NOUN
ajst-26910	33	30	.	.	PUNCT
ajst-26910	34	1	the	the	DET
ajst-26910	34	2	advantage	advantage	NOUN
ajst-26910	34	3	of	of	ADP
ajst-26910	34	4	arima	arima	PROPN
ajst-26910	34	5	model	model	NOUN
ajst-26910	34	6	lies	lie	VERB
ajst-26910	34	7	in	in	ADP
ajst-26910	34	8	its	its	PRON
ajst-26910	34	9	solid	solid	ADJ
ajst-26910	34	10	mathematical	mathematical	ADJ
ajst-26910	34	11	foundation	foundation	NOUN
ajst-26910	34	12	and	and	CCONJ
ajst-26910	34	13	relatively	relatively	ADV
ajst-26910	34	14	simple	simple	ADJ
ajst-26910	34	15	model	model	NOUN
ajst-26910	34	16	structure	structure	NOUN
ajst-26910	34	17	,	,	PUNCT
ajst-26910	34	18	which	which	PRON
ajst-26910	34	19	makes	make	VERB
ajst-26910	34	20	it	it	PRON
ajst-26910	34	21	perform	perform	VERB
ajst-26910	34	22	well	well	ADV
ajst-26910	34	23	in	in	ADP
ajst-26910	34	24	dealing	deal	VERB
ajst-26910	34	25	with	with	ADP
ajst-26910	34	26	linear	linear	ADJ
ajst-26910	34	27	time	time	NOUN
ajst-26910	34	28	series	series	PROPN
ajst-26910	34	29	data	data	PROPN
ajst-26910	34	30	.	.	PUNCT
ajst-26910	35	1	however	however	ADV
ajst-26910	35	2	,	,	PUNCT
ajst-26910	35	3	when	when	SCONJ
ajst-26910	35	4	faced	face	VERB
ajst-26910	35	5	with	with	ADP
ajst-26910	35	6	nonlinear	nonlinear	ADJ
ajst-26910	35	7	,	,	PUNCT
ajst-26910	35	8	highdimensional	highdimensional	ADJ
ajst-26910	35	9	or	or	CCONJ
ajst-26910	35	10	long	long	ADJ
ajst-26910	35	11	-	-	PUNCT
ajst-26910	35	12	term	term	NOUN
ajst-26910	35	13	dependent	dependent	ADJ
ajst-26910	35	14	time	time	NOUN
ajst-26910	35	15	series	series	PROPN
ajst-26910	35	16	data	data	PROPN
ajst-26910	35	17	,	,	PUNCT
ajst-26910	35	18	the	the	DET
ajst-26910	35	19	prediction	prediction	NOUN
ajst-26910	35	20	ability	ability	NOUN
ajst-26910	35	21	of	of	ADP
ajst-26910	35	22	arima	arima	NOUN
ajst-26910	35	23	model	model	NOUN
ajst-26910	35	24	may	may	AUX
ajst-26910	35	25	be	be	AUX
ajst-26910	35	26	limited	limit	VERB
ajst-26910	35	27	.	.	PUNCT
ajst-26910	36	1	2.3	2.3	NUM
ajst-26910	36	2	.	.	PUNCT
ajst-26910	37	1	lstm	lstm	ADJ
ajst-26910	37	2	neural	neural	ADJ
ajst-26910	37	3	network	network	NOUN
ajst-26910	37	4	with	with	ADP
ajst-26910	37	5	the	the	DET
ajst-26910	37	6	rise	rise	NOUN
ajst-26910	37	7	of	of	ADP
ajst-26910	37	8	deep	deep	ADJ
ajst-26910	37	9	learning	learning	NOUN
ajst-26910	37	10	technology	technology	NOUN
ajst-26910	37	11	,	,	PUNCT
ajst-26910	37	12	lstm	lstm	NOUN
ajst-26910	37	13	models	model	NOUN
ajst-26910	37	14	have	have	AUX
ajst-26910	37	15	begun	begin	VERB
ajst-26910	37	16	to	to	PART
ajst-26910	37	17	emerge	emerge	VERB
ajst-26910	37	18	in	in	ADP
ajst-26910	37	19	the	the	DET
ajst-26910	37	20	field	field	NOUN
ajst-26910	37	21	of	of	ADP
ajst-26910	37	22	time	time	NOUN
ajst-26910	37	23	series	series	PROPN
ajst-26910	37	24	prediction	prediction	PROPN
ajst-26910	37	25	.	.	PUNCT
ajst-26910	38	1	as	as	ADP
ajst-26910	38	2	a	a	DET
ajst-26910	38	3	specially	specially	ADV
ajst-26910	38	4	designed	design	VERB
ajst-26910	38	5	variant	variant	NOUN
ajst-26910	38	6	of	of	ADP
ajst-26910	38	7	rnn	rnn	NOUN
ajst-26910	38	8	(	(	PUNCT
ajst-26910	38	9	recurrent	recurrent	ADJ
ajst-26910	38	10	neural	neural	ADJ
ajst-26910	38	11	194	194	NUM
ajst-26910	38	12	network	network	NOUN
ajst-26910	38	13	)	)	PUNCT
ajst-26910	38	14	,	,	PUNCT
ajst-26910	38	15	lstm	lstm	NOUN
ajst-26910	38	16	incorporates	incorporate	VERB
ajst-26910	38	17	innovative	innovative	ADJ
ajst-26910	38	18	structures	structure	NOUN
ajst-26910	38	19	such	such	ADJ
ajst-26910	38	20	as	as	ADP
ajst-26910	38	21	memory	memory	NOUN
ajst-26910	38	22	units	unit	NOUN
ajst-26910	38	23	and	and	CCONJ
ajst-26910	38	24	forget	forget	VERB
ajst-26910	38	25	gates	gate	NOUN
ajst-26910	38	26	,	,	PUNCT
ajst-26910	38	27	significantly	significantly	ADV
ajst-26910	38	28	overcoming	overcome	VERB
ajst-26910	38	29	the	the	DET
ajst-26910	38	30	challenges	challenge	NOUN
ajst-26910	38	31	of	of	ADP
ajst-26910	38	32	gradient	gradient	ADJ
ajst-26910	38	33	decay	decay	NOUN
ajst-26910	38	34	and	and	CCONJ
ajst-26910	38	35	explosion	explosion	NOUN
ajst-26910	38	36	encountered	encounter	VERB
ajst-26910	38	37	by	by	ADP
ajst-26910	38	38	traditional	traditional	ADJ
ajst-26910	38	39	rnns	rnn	NOUN
ajst-26910	38	40	when	when	SCONJ
ajst-26910	38	41	processing	process	VERB
ajst-26910	38	42	long	long	ADJ
ajst-26910	38	43	sequence	sequence	NOUN
ajst-26910	38	44	data	datum	NOUN
ajst-26910	38	45	[	[	X
ajst-26910	38	46	10	10	NUM
ajst-26910	38	47	]	]	PUNCT
ajst-26910	38	48	.	.	PUNCT
ajst-26910	39	1	this	this	DET
ajst-26910	39	2	model	model	NOUN
ajst-26910	39	3	excels	excel	VERB
ajst-26910	39	4	at	at	ADP
ajst-26910	39	5	capturing	capture	VERB
ajst-26910	39	6	long	long	ADJ
ajst-26910	39	7	-	-	PUNCT
ajst-26910	39	8	range	range	NOUN
ajst-26910	39	9	correlations	correlation	NOUN
ajst-26910	39	10	in	in	ADP
ajst-26910	39	11	time	time	NOUN
ajst-26910	39	12	series	series	NOUN
ajst-26910	39	13	and	and	CCONJ
ajst-26910	39	14	demonstrates	demonstrate	VERB
ajst-26910	39	15	excellent	excellent	ADJ
ajst-26910	39	16	fitting	fitting	ADJ
ajst-26910	39	17	performance	performance	NOUN
ajst-26910	39	18	when	when	SCONJ
ajst-26910	39	19	facing	face	VERB
ajst-26910	39	20	nonlinear	nonlinear	ADJ
ajst-26910	39	21	problems	problem	NOUN
ajst-26910	39	22	.	.	PUNCT
ajst-26910	40	1	therefore	therefore	ADV
ajst-26910	40	2	,	,	PUNCT
ajst-26910	40	3	when	when	SCONJ
ajst-26910	40	4	dealing	deal	VERB
ajst-26910	40	5	with	with	ADP
ajst-26910	40	6	complex	complex	ADJ
ajst-26910	40	7	,	,	PUNCT
ajst-26910	40	8	multidimensional	multidimensional	ADJ
ajst-26910	40	9	,	,	PUNCT
ajst-26910	40	10	and	and	CCONJ
ajst-26910	40	11	nonlinear	nonlinear	ADJ
ajst-26910	40	12	time	time	NOUN
ajst-26910	40	13	series	series	PROPN
ajst-26910	40	14	data	data	PROPN
ajst-26910	40	15	,	,	PUNCT
ajst-26910	40	16	lstm	lstm	NOUN
ajst-26910	40	17	not	not	PART
ajst-26910	40	18	only	only	ADV
ajst-26910	40	19	has	have	VERB
ajst-26910	40	20	higher	high	ADJ
ajst-26910	40	21	prediction	prediction	NOUN
ajst-26910	40	22	accuracy	accuracy	NOUN
ajst-26910	40	23	compared	compare	VERB
ajst-26910	40	24	to	to	ADP
ajst-26910	40	25	classical	classical	ADJ
ajst-26910	40	26	methods	method	NOUN
ajst-26910	40	27	such	such	ADJ
ajst-26910	40	28	as	as	ADP
ajst-26910	40	29	arima	arima	NOUN
ajst-26910	40	30	,	,	PUNCT
ajst-26910	40	31	but	but	CCONJ
ajst-26910	40	32	also	also	ADV
ajst-26910	40	33	has	have	VERB
ajst-26910	40	34	better	well	ADJ
ajst-26910	40	35	stability	stability	NOUN
ajst-26910	40	36	and	and	CCONJ
ajst-26910	40	37	adaptability	adaptability	NOUN
ajst-26910	40	38	.	.	PUNCT
ajst-26910	41	1	2.4	2.4	NUM
ajst-26910	41	2	.	.	PUNCT
ajst-26910	42	1	the	the	DET
ajst-26910	42	2	concept	concept	NOUN
ajst-26910	42	3	of	of	ADP
ajst-26910	42	4	mixed	mixed	ADJ
ajst-26910	42	5	model	model	NOUN
ajst-26910	42	6	in	in	ADP
ajst-26910	42	7	view	view	NOUN
ajst-26910	42	8	of	of	ADP
ajst-26910	42	9	the	the	DET
ajst-26910	42	10	advantages	advantage	NOUN
ajst-26910	42	11	and	and	CCONJ
ajst-26910	42	12	limitations	limitation	NOUN
ajst-26910	42	13	of	of	ADP
ajst-26910	42	14	arima	arima	PROPN
ajst-26910	42	15	model	model	NOUN
ajst-26910	42	16	and	and	CCONJ
ajst-26910	42	17	lstm	lstm	NOUN
ajst-26910	42	18	network	network	NOUN
ajst-26910	42	19	,	,	PUNCT
ajst-26910	42	20	researchers	researcher	NOUN
ajst-26910	42	21	began	begin	VERB
ajst-26910	42	22	to	to	PART
ajst-26910	42	23	explore	explore	VERB
ajst-26910	42	24	a	a	DET
ajst-26910	42	25	hybrid	hybrid	ADJ
ajst-26910	42	26	model	model	NOUN
ajst-26910	42	27	combining	combine	VERB
ajst-26910	42	28	the	the	DET
ajst-26910	42	29	two	two	NUM
ajst-26910	43	1	[	[	NOUN
ajst-26910	43	2	11	11	NUM
ajst-26910	43	3	]	]	PUNCT
ajst-26910	43	4	.	.	PUNCT
ajst-26910	44	1	the	the	DET
ajst-26910	44	2	hybrid	hybrid	NOUN
ajst-26910	44	3	model	model	NOUN
ajst-26910	44	4	aims	aim	VERB
ajst-26910	44	5	to	to	PART
ajst-26910	44	6	integrate	integrate	VERB
ajst-26910	44	7	the	the	DET
ajst-26910	44	8	ability	ability	NOUN
ajst-26910	44	9	of	of	ADP
ajst-26910	44	10	arima	arima	PROPN
ajst-26910	44	11	model	model	NOUN
ajst-26910	44	12	in	in	ADP
ajst-26910	44	13	capturing	capture	VERB
ajst-26910	44	14	linear	linear	ADJ
ajst-26910	44	15	relationship	relationship	NOUN
ajst-26910	44	16	and	and	CCONJ
ajst-26910	44	17	short	short	ADJ
ajst-26910	44	18	-	-	PUNCT
ajst-26910	44	19	term	term	NOUN
ajst-26910	44	20	fluctuation	fluctuation	NOUN
ajst-26910	44	21	,	,	PUNCT
ajst-26910	44	22	and	and	CCONJ
ajst-26910	44	23	the	the	DET
ajst-26910	44	24	advantages	advantage	NOUN
ajst-26910	44	25	of	of	ADP
ajst-26910	44	26	lstm	lstm	NOUN
ajst-26910	44	27	network	network	NOUN
ajst-26910	44	28	in	in	ADP
ajst-26910	44	29	dealing	deal	VERB
ajst-26910	44	30	with	with	ADP
ajst-26910	44	31	nonlinear	nonlinear	ADJ
ajst-26910	44	32	problems	problem	NOUN
ajst-26910	44	33	and	and	CCONJ
ajst-26910	44	34	longterm	longterm	ADJ
ajst-26910	44	35	dependence	dependence	NOUN
ajst-26910	44	36	.	.	PUNCT
ajst-26910	45	1	by	by	ADP
ajst-26910	45	2	skillfully	skillfully	ADV
ajst-26910	45	3	integrating	integrate	VERB
ajst-26910	45	4	these	these	DET
ajst-26910	45	5	two	two	NUM
ajst-26910	45	6	methods	method	NOUN
ajst-26910	45	7	,	,	PUNCT
ajst-26910	45	8	the	the	DET
ajst-26910	45	9	hybrid	hybrid	NOUN
ajst-26910	45	10	model	model	NOUN
ajst-26910	45	11	is	be	AUX
ajst-26910	45	12	expected	expect	VERB
ajst-26910	45	13	to	to	PART
ajst-26910	45	14	make	make	VERB
ajst-26910	45	15	a	a	DET
ajst-26910	45	16	breakthrough	breakthrough	NOUN
ajst-26910	45	17	in	in	ADP
ajst-26910	45	18	improving	improve	VERB
ajst-26910	45	19	the	the	DET
ajst-26910	45	20	accuracy	accuracy	NOUN
ajst-26910	45	21	and	and	CCONJ
ajst-26910	45	22	stability	stability	NOUN
ajst-26910	45	23	of	of	ADP
ajst-26910	45	24	time	time	NOUN
ajst-26910	45	25	series	series	PROPN
ajst-26910	45	26	prediction	prediction	PROPN
ajst-26910	45	27	.	.	PUNCT
ajst-26910	46	1	this	this	DET
ajst-26910	46	2	combination	combination	NOUN
ajst-26910	46	3	can	can	AUX
ajst-26910	46	4	not	not	PART
ajst-26910	46	5	only	only	ADV
ajst-26910	46	6	give	give	VERB
ajst-26910	46	7	full	full	ADJ
ajst-26910	46	8	play	play	NOUN
ajst-26910	46	9	to	to	ADP
ajst-26910	46	10	the	the	DET
ajst-26910	46	11	advantages	advantage	NOUN
ajst-26910	46	12	of	of	ADP
ajst-26910	46	13	each	each	DET
ajst-26910	46	14	model	model	NOUN
ajst-26910	46	15	,	,	PUNCT
ajst-26910	46	16	but	but	CCONJ
ajst-26910	46	17	also	also	ADV
ajst-26910	46	18	make	make	VERB
ajst-26910	46	19	up	up	ADP
ajst-26910	46	20	for	for	ADP
ajst-26910	46	21	each	each	DET
ajst-26910	46	22	other	other	ADJ
ajst-26910	46	23	's	's	PART
ajst-26910	46	24	shortcomings	shortcoming	NOUN
ajst-26910	46	25	to	to	ADP
ajst-26910	46	26	a	a	DET
ajst-26910	46	27	certain	certain	ADJ
ajst-26910	46	28	extent	extent	NOUN
ajst-26910	46	29	,	,	PUNCT
ajst-26910	46	30	bringing	bring	VERB
ajst-26910	46	31	new	new	ADJ
ajst-26910	46	32	research	research	NOUN
ajst-26910	46	33	ideas	idea	NOUN
ajst-26910	46	34	to	to	ADP
ajst-26910	46	35	the	the	DET
ajst-26910	46	36	field	field	NOUN
ajst-26910	46	37	of	of	ADP
ajst-26910	46	38	time	time	NOUN
ajst-26910	46	39	series	series	PROPN
ajst-26910	46	40	prediction	prediction	NOUN
ajst-26910	46	41	.	.	PUNCT
ajst-26910	47	1	3	3	X
ajst-26910	47	2	.	.	NOUN
ajst-26910	47	3	time	time	NOUN
ajst-26910	47	4	series	series	PROPN
ajst-26910	47	5	prediction	prediction	NOUN
ajst-26910	47	6	of	of	ADP
ajst-26910	47	7	meteorological	meteorological	ADJ
ajst-26910	47	8	data	datum	NOUN
ajst-26910	47	9	based	base	VERB
ajst-26910	47	10	on	on	ADP
ajst-26910	47	11	arima	arima	NOUN
ajst-26910	47	12	-	-	PUNCT
ajst-26910	47	13	lstm	lstm	PROPN
ajst-26910	47	14	model	model	NOUN
ajst-26910	47	15	3.1	3.1	NUM
ajst-26910	47	16	.	.	PUNCT
ajst-26910	48	1	data	datum	NOUN
ajst-26910	48	2	preprocessing	preprocessing	NOUN
ajst-26910	48	3	before	before	SCONJ
ajst-26910	48	4	the	the	DET
ajst-26910	48	5	model	model	NOUN
ajst-26910	48	6	is	be	AUX
ajst-26910	48	7	built	build	VERB
ajst-26910	48	8	,	,	PUNCT
ajst-26910	48	9	data	datum	NOUN
ajst-26910	48	10	preprocessing	preprocessing	NOUN
ajst-26910	48	11	is	be	AUX
ajst-26910	48	12	a	a	DET
ajst-26910	48	13	crucial	crucial	ADJ
ajst-26910	48	14	step	step	NOUN
ajst-26910	48	15	.	.	PUNCT
ajst-26910	49	1	firstly	firstly	ADV
ajst-26910	49	2	,	,	PUNCT
ajst-26910	49	3	this	this	DET
ajst-26910	49	4	article	article	NOUN
ajst-26910	49	5	obtains	obtain	VERB
ajst-26910	49	6	multidimensional	multidimensional	ADJ
ajst-26910	49	7	meteorological	meteorological	ADJ
ajst-26910	49	8	data	datum	NOUN
ajst-26910	49	9	including	include	VERB
ajst-26910	49	10	temperature	temperature	NOUN
ajst-26910	49	11	,	,	PUNCT
ajst-26910	49	12	humidity	humidity	NOUN
ajst-26910	49	13	,	,	PUNCT
ajst-26910	49	14	wind	wind	NOUN
ajst-26910	49	15	speed	speed	NOUN
ajst-26910	49	16	and	and	CCONJ
ajst-26910	49	17	precipitation	precipitation	NOUN
ajst-26910	49	18	from	from	ADP
ajst-26910	49	19	authoritative	authoritative	ADJ
ajst-26910	49	20	meteorological	meteorological	ADJ
ajst-26910	49	21	institutions	institution	NOUN
ajst-26910	49	22	.	.	PUNCT
ajst-26910	50	1	these	these	DET
ajst-26910	50	2	data	datum	NOUN
ajst-26910	50	3	often	often	ADV
ajst-26910	50	4	have	have	VERB
ajst-26910	50	5	problems	problem	NOUN
ajst-26910	50	6	of	of	ADP
ajst-26910	50	7	missing	miss	VERB
ajst-26910	50	8	values	value	NOUN
ajst-26910	50	9	,	,	PUNCT
ajst-26910	50	10	abnormal	abnormal	ADJ
ajst-26910	50	11	values	value	NOUN
ajst-26910	50	12	and	and	CCONJ
ajst-26910	50	13	different	different	ADJ
ajst-26910	50	14	dimensions	dimension	NOUN
ajst-26910	50	15	,	,	PUNCT
ajst-26910	50	16	so	so	SCONJ
ajst-26910	50	17	they	they	PRON
ajst-26910	50	18	need	need	VERB
ajst-26910	50	19	to	to	PART
ajst-26910	50	20	be	be	AUX
ajst-26910	50	21	cleaned	clean	VERB
ajst-26910	50	22	and	and	CCONJ
ajst-26910	50	23	standardized	standardize	VERB
ajst-26910	50	24	.	.	PUNCT
ajst-26910	51	1	for	for	ADP
ajst-26910	51	2	missing	miss	VERB
ajst-26910	51	3	values	value	NOUN
ajst-26910	51	4	,	,	PUNCT
ajst-26910	51	5	we	we	PRON
ajst-26910	51	6	use	use	VERB
ajst-26910	51	7	interpolation	interpolation	NOUN
ajst-26910	51	8	method	method	NOUN
ajst-26910	51	9	and	and	CCONJ
ajst-26910	51	10	regression	regression	NOUN
ajst-26910	51	11	prediction	prediction	NOUN
ajst-26910	51	12	method	method	NOUN
ajst-26910	51	13	to	to	PART
ajst-26910	51	14	fill	fill	VERB
ajst-26910	51	15	in	in	ADP
ajst-26910	51	16	;	;	PUNCT
ajst-26910	51	17	for	for	ADP
ajst-26910	51	18	abnormal	abnormal	ADJ
ajst-26910	51	19	values	value	NOUN
ajst-26910	51	20	,	,	PUNCT
ajst-26910	51	21	statistical	statistical	ADJ
ajst-26910	51	22	methods	method	NOUN
ajst-26910	51	23	are	be	AUX
ajst-26910	51	24	used	use	VERB
ajst-26910	51	25	to	to	PART
ajst-26910	51	26	detect	detect	VERB
ajst-26910	51	27	and	and	CCONJ
ajst-26910	51	28	eliminate	eliminate	VERB
ajst-26910	51	29	them	they	PRON
ajst-26910	51	30	.	.	PUNCT
ajst-26910	52	1	in	in	ADP
ajst-26910	52	2	order	order	NOUN
ajst-26910	52	3	to	to	PART
ajst-26910	52	4	eliminate	eliminate	VERB
ajst-26910	52	5	the	the	DET
ajst-26910	52	6	influence	influence	NOUN
ajst-26910	52	7	of	of	ADP
ajst-26910	52	8	different	different	ADJ
ajst-26910	52	9	dimensions	dimension	NOUN
ajst-26910	52	10	on	on	ADP
ajst-26910	52	11	model	model	NOUN
ajst-26910	52	12	training	training	NOUN
ajst-26910	52	13	,	,	PUNCT
ajst-26910	52	14	this	this	DET
ajst-26910	52	15	article	article	NOUN
ajst-26910	52	16	standardizes	standardize	VERB
ajst-26910	52	17	the	the	DET
ajst-26910	52	18	data	datum	NOUN
ajst-26910	52	19	so	so	SCONJ
ajst-26910	52	20	that	that	SCONJ
ajst-26910	52	21	all	all	PRON
ajst-26910	52	22	eigenvalues	eigenvalue	VERB
ajst-26910	52	23	fall	fall	VERB
ajst-26910	52	24	within	within	ADP
ajst-26910	52	25	the	the	DET
ajst-26910	52	26	same	same	ADJ
ajst-26910	52	27	range	range	NOUN
ajst-26910	52	28	.	.	PUNCT
ajst-26910	53	1	after	after	ADP
ajst-26910	53	2	these	these	DET
ajst-26910	53	3	preprocessing	preprocessing	NOUN
ajst-26910	53	4	steps	step	NOUN
ajst-26910	53	5	,	,	PUNCT
ajst-26910	53	6	we	we	PRON
ajst-26910	53	7	get	get	VERB
ajst-26910	53	8	a	a	DET
ajst-26910	53	9	clean	clean	ADJ
ajst-26910	53	10	,	,	PUNCT
ajst-26910	53	11	tidy	tidy	ADJ
ajst-26910	53	12	and	and	CCONJ
ajst-26910	53	13	easy	easy	ADJ
ajst-26910	53	14	-	-	PUNCT
ajst-26910	53	15	to	to	ADP
ajst-26910	53	16	-	-	PUNCT
ajst-26910	53	17	model	model	NOUN
ajst-26910	53	18	meteorological	meteorological	ADJ
ajst-26910	53	19	data	datum	NOUN
ajst-26910	53	20	set	set	VERB
ajst-26910	53	21	.	.	PUNCT
ajst-26910	54	1	3.2	3.2	NUM
ajst-26910	54	2	.	.	PUNCT
ajst-26910	54	3	model	model	NOUN
ajst-26910	54	4	construction	construction	NOUN
ajst-26910	54	5	and	and	CCONJ
ajst-26910	54	6	training	training	NOUN
ajst-26910	54	7	after	after	SCONJ
ajst-26910	54	8	the	the	DET
ajst-26910	54	9	data	data	NOUN
ajst-26910	54	10	preprocessing	preprocessing	NOUN
ajst-26910	54	11	is	be	AUX
ajst-26910	54	12	completed	complete	VERB
ajst-26910	54	13	,	,	PUNCT
ajst-26910	54	14	this	this	DET
ajst-26910	54	15	article	article	NOUN
ajst-26910	54	16	begins	begin	VERB
ajst-26910	54	17	to	to	PART
ajst-26910	54	18	construct	construct	VERB
ajst-26910	54	19	arima	arima	NOUN
ajst-26910	54	20	-	-	PUNCT
ajst-26910	54	21	lstm	lstm	NOUN
ajst-26910	54	22	hybrid	hybrid	NOUN
ajst-26910	54	23	model	model	NOUN
ajst-26910	54	24	.	.	PUNCT
ajst-26910	55	1	firstly	firstly	ADV
ajst-26910	55	2	,	,	PUNCT
ajst-26910	55	3	this	this	DET
ajst-26910	55	4	section	section	NOUN
ajst-26910	55	5	uses	use	VERB
ajst-26910	55	6	arima	arima	PROPN
ajst-26910	55	7	model	model	NOUN
ajst-26910	55	8	to	to	PART
ajst-26910	55	9	model	model	VERB
ajst-26910	55	10	the	the	DET
ajst-26910	55	11	linear	linear	PROPN
ajst-26910	55	12	relationship	relationship	NOUN
ajst-26910	55	13	and	and	CCONJ
ajst-26910	55	14	short	short	ADJ
ajst-26910	55	15	-	-	PUNCT
ajst-26910	55	16	term	term	NOUN
ajst-26910	55	17	fluctuation	fluctuation	NOUN
ajst-26910	55	18	in	in	ADP
ajst-26910	55	19	meteorological	meteorological	ADJ
ajst-26910	55	20	data	datum	NOUN
ajst-26910	55	21	.	.	PUNCT
ajst-26910	56	1	in	in	ADP
ajst-26910	56	2	the	the	DET
ajst-26910	56	3	stage	stage	NOUN
ajst-26910	56	4	of	of	ADP
ajst-26910	56	5	modeling	modeling	NOUN
ajst-26910	56	6	,	,	PUNCT
ajst-26910	56	7	three	three	NUM
ajst-26910	56	8	key	key	ADJ
ajst-26910	56	9	parameters	parameter	NOUN
ajst-26910	56	10	,	,	PUNCT
ajst-26910	56	11	autoregressive	autoregressive	ADJ
ajst-26910	56	12	order	order	NOUN
ajst-26910	56	13	,	,	PUNCT
ajst-26910	56	14	differential	differential	ADJ
ajst-26910	56	15	order	order	NOUN
ajst-26910	56	16	and	and	CCONJ
ajst-26910	56	17	moving	move	VERB
ajst-26910	56	18	average	average	ADJ
ajst-26910	56	19	order	order	NOUN
ajst-26910	56	20	,	,	PUNCT
ajst-26910	56	21	are	be	AUX
ajst-26910	56	22	carefully	carefully	ADV
ajst-26910	56	23	selected	select	VERB
ajst-26910	56	24	to	to	PART
ajst-26910	56	25	ensure	ensure	VERB
ajst-26910	56	26	that	that	SCONJ
ajst-26910	56	27	the	the	DET
ajst-26910	56	28	model	model	NOUN
ajst-26910	56	29	can	can	AUX
ajst-26910	56	30	best	well	ADV
ajst-26910	56	31	fit	fit	VERB
ajst-26910	56	32	the	the	DET
ajst-26910	56	33	data	data	NOUN
ajst-26910	56	34	characteristics	characteristic	NOUN
ajst-26910	56	35	.	.	PUNCT
ajst-26910	57	1	the	the	DET
ajst-26910	57	2	arima	arima	PROPN
ajst-26910	57	3	formula	formula	NOUN
ajst-26910	57	4	is	be	AUX
ajst-26910	57	5	as	as	SCONJ
ajst-26910	57	6	follows	follow	VERB
ajst-26910	57	7	:	:	PUNCT
ajst-26910	57	8			PROPN
ajst-26910	57	9			PROPN
ajst-26910	57	10			PROPN
ajst-26910	57	11	t	t	PROPN
ajst-26910	57	12	q	q	NOUN
ajst-26910	57	13	qt	qt	NOUN
ajst-26910	57	14	dp	dp	NOUN
ajst-26910	57	15	p	p	PROPN
ajst-26910	57	16	lllcyllll	lllcyllll	ADJ
ajst-26910	57	17			NOUN
ajst-26910	57	18			X
ajst-26910	57	19	2	2	NUM
ajst-26910	57	20	21	21	NUM
ajst-26910	57	21	2	2	NUM
ajst-26910	57	22	21	21	NUM
ajst-26910	57	23	11	11	NUM
ajst-26910	57	24	(	(	PUNCT
ajst-26910	57	25	1	1	NUM
ajst-26910	57	26	)	)	PUNCT
ajst-26910	57	27	where	where	SCONJ
ajst-26910	57	28	ty	ty	PRON
ajst-26910	57	29	is	be	AUX
ajst-26910	57	30	the	the	DET
ajst-26910	57	31	actual	actual	ADJ
ajst-26910	57	32	value	value	NOUN
ajst-26910	57	33	of	of	ADP
ajst-26910	57	34	time	time	NOUN
ajst-26910	57	35	series	series	NOUN
ajst-26910	57	36	at	at	ADP
ajst-26910	57	37	time	time	NOUN
ajst-26910	57	38	point	point	PROPN
ajst-26910	57	39	t	t	PROPN
ajst-26910	57	40	;	;	PUNCT
ajst-26910	57	41	p	p	NOUN
ajst-26910	57	42	is	be	AUX
ajst-26910	57	43	the	the	DET
ajst-26910	57	44	coefficient	coefficient	NOUN
ajst-26910	57	45	of	of	ADP
ajst-26910	57	46	autoregressive	autoregressive	ADJ
ajst-26910	57	47	term	term	NOUN
ajst-26910	57	48	,	,	PUNCT
ajst-26910	57	49	and	and	CCONJ
ajst-26910	57	50	p	p	NOUN
ajst-26910	57	51	represents	represent	VERB
ajst-26910	57	52	the	the	DET
ajst-26910	57	53	order	order	NOUN
ajst-26910	57	54	of	of	ADP
ajst-26910	57	55	autoregressive	autoregressive	ADJ
ajst-26910	57	56	term	term	NOUN
ajst-26910	57	57	;	;	PUNCT
ajst-26910	57	58	l	l	NOUN
ajst-26910	57	59	is	be	AUX
ajst-26910	57	60	the	the	DET
ajst-26910	57	61	lag	lag	NOUN
ajst-26910	57	62	operator	operator	NOUN
ajst-26910	57	63	and	and	CCONJ
ajst-26910	57	64	d	d	NOUN
ajst-26910	57	65	is	be	AUX
ajst-26910	57	66	the	the	DET
ajst-26910	57	67	difference	difference	NOUN
ajst-26910	57	68	order	order	NOUN
ajst-26910	57	69	,	,	PUNCT
ajst-26910	57	70	which	which	PRON
ajst-26910	57	71	is	be	AUX
ajst-26910	57	72	used	use	VERB
ajst-26910	57	73	to	to	PART
ajst-26910	57	74	make	make	VERB
ajst-26910	57	75	the	the	DET
ajst-26910	57	76	time	time	NOUN
ajst-26910	57	77	series	series	NOUN
ajst-26910	57	78	stable	stable	ADJ
ajst-26910	57	79	.	.	PUNCT
ajst-26910	58	1	c	c	NOUN
ajst-26910	58	2	is	be	AUX
ajst-26910	58	3	a	a	DET
ajst-26910	58	4	constant	constant	ADJ
ajst-26910	58	5	term	term	NOUN
ajst-26910	58	6	;	;	PUNCT
ajst-26910	58	7	q	q	PROPN
ajst-26910	58	8	is	be	AUX
ajst-26910	58	9	the	the	DET
ajst-26910	58	10	coefficient	coefficient	NOUN
ajst-26910	58	11	of	of	ADP
ajst-26910	58	12	the	the	DET
ajst-26910	58	13	moving	move	VERB
ajst-26910	58	14	average	average	ADJ
ajst-26910	58	15	term	term	NOUN
ajst-26910	58	16	,	,	PUNCT
ajst-26910	58	17	and	and	CCONJ
ajst-26910	58	18	q	q	PROPN
ajst-26910	58	19	represents	represent	VERB
ajst-26910	58	20	the	the	DET
ajst-26910	58	21	order	order	NOUN
ajst-26910	58	22	of	of	ADP
ajst-26910	58	23	the	the	DET
ajst-26910	58	24	moving	move	VERB
ajst-26910	58	25	average	average	NOUN
ajst-26910	58	26	;	;	PUNCT
ajst-26910	58	27	t	t	PROPN
ajst-26910	58	28	is	be	AUX
ajst-26910	58	29	a	a	DET
ajst-26910	58	30	white	white	ADJ
ajst-26910	58	31	noise	noise	NOUN
ajst-26910	58	32	term	term	NOUN
ajst-26910	58	33	,	,	PUNCT
ajst-26910	58	34	which	which	PRON
ajst-26910	58	35	represents	represent	VERB
ajst-26910	58	36	the	the	DET
ajst-26910	58	37	random	random	ADJ
ajst-26910	58	38	error	error	NOUN
ajst-26910	58	39	of	of	ADP
ajst-26910	58	40	time	time	NOUN
ajst-26910	58	41	series	series	NOUN
ajst-26910	58	42	.	.	PUNCT
ajst-26910	59	1	after	after	ADP
ajst-26910	59	2	repeated	repeat	VERB
ajst-26910	59	3	debugging	debugging	NOUN
ajst-26910	59	4	and	and	CCONJ
ajst-26910	59	5	optimization	optimization	NOUN
ajst-26910	59	6	,	,	PUNCT
ajst-26910	59	7	we	we	PRON
ajst-26910	59	8	finally	finally	ADV
ajst-26910	59	9	obtained	obtain	VERB
ajst-26910	59	10	the	the	DET
ajst-26910	59	11	preliminary	preliminary	ADJ
ajst-26910	59	12	prediction	prediction	NOUN
ajst-26910	59	13	results	result	NOUN
ajst-26910	59	14	of	of	ADP
ajst-26910	59	15	arima	arima	PROPN
ajst-26910	59	16	model	model	NOUN
ajst-26910	59	17	,	,	PUNCT
ajst-26910	59	18	which	which	PRON
ajst-26910	59	19	laid	lay	VERB
ajst-26910	59	20	a	a	DET
ajst-26910	59	21	solid	solid	ADJ
ajst-26910	59	22	foundation	foundation	NOUN
ajst-26910	59	23	for	for	ADP
ajst-26910	59	24	the	the	DET
ajst-26910	59	25	subsequent	subsequent	ADJ
ajst-26910	59	26	hybrid	hybrid	ADJ
ajst-26910	59	27	model	model	NOUN
ajst-26910	59	28	construction	construction	NOUN
ajst-26910	59	29	.	.	PUNCT
ajst-26910	60	1	however	however	ADV
ajst-26910	60	2	,	,	PUNCT
ajst-26910	60	3	arima	arima	PROPN
ajst-26910	60	4	model	model	NOUN
ajst-26910	60	5	has	have	VERB
ajst-26910	60	6	limitations	limitation	NOUN
ajst-26910	60	7	in	in	ADP
ajst-26910	60	8	dealing	deal	VERB
ajst-26910	60	9	with	with	ADP
ajst-26910	60	10	nonlinear	nonlinear	ADJ
ajst-26910	60	11	relations	relation	NOUN
ajst-26910	60	12	,	,	PUNCT
ajst-26910	60	13	so	so	ADV
ajst-26910	60	14	lstm	lstm	ADJ
ajst-26910	60	15	network	network	NOUN
ajst-26910	60	16	is	be	AUX
ajst-26910	60	17	further	far	ADV
ajst-26910	60	18	introduced	introduce	VERB
ajst-26910	60	19	in	in	ADP
ajst-26910	60	20	this	this	DET
ajst-26910	60	21	section	section	NOUN
ajst-26910	60	22	.	.	PUNCT
ajst-26910	61	1	with	with	ADP
ajst-26910	61	2	its	its	PRON
ajst-26910	61	3	unique	unique	ADJ
ajst-26910	61	4	network	network	NOUN
ajst-26910	61	5	structure	structure	NOUN
ajst-26910	61	6	and	and	CCONJ
ajst-26910	61	7	memory	memory	NOUN
ajst-26910	61	8	mechanism	mechanism	NOUN
ajst-26910	61	9	,	,	PUNCT
ajst-26910	61	10	lstm	lstm	NOUN
ajst-26910	61	11	can	can	AUX
ajst-26910	61	12	easily	easily	ADV
ajst-26910	61	13	capture	capture	VERB
ajst-26910	61	14	long	long	ADJ
ajst-26910	61	15	-	-	PUNCT
ajst-26910	61	16	term	term	NOUN
ajst-26910	61	17	dependencies	dependency	NOUN
ajst-26910	61	18	in	in	ADP
ajst-26910	61	19	data	datum	NOUN
ajst-26910	61	20	,	,	PUNCT
ajst-26910	61	21	and	and	CCONJ
ajst-26910	61	22	accurately	accurately	ADV
ajst-26910	61	23	fit	fit	ADJ
ajst-26910	61	24	complex	complex	ADJ
ajst-26910	61	25	functional	functional	ADJ
ajst-26910	61	26	relationships	relationship	NOUN
ajst-26910	61	27	through	through	ADP
ajst-26910	61	28	nonlinear	nonlinear	ADJ
ajst-26910	61	29	transformation	transformation	NOUN
ajst-26910	61	30	of	of	ADP
ajst-26910	61	31	multi	multi	ADJ
ajst-26910	61	32	-	-	ADJ
ajst-26910	61	33	layer	layer	ADJ
ajst-26910	61	34	neurons	neuron	NOUN
ajst-26910	61	35	.	.	PUNCT
ajst-26910	62	1	this	this	DET
ajst-26910	62	2	characteristic	characteristic	NOUN
ajst-26910	62	3	of	of	ADP
ajst-26910	62	4	lstm	lstm	NOUN
ajst-26910	62	5	network	network	NOUN
ajst-26910	62	6	makes	make	VERB
ajst-26910	62	7	it	it	PRON
ajst-26910	62	8	show	show	VERB
ajst-26910	62	9	great	great	ADJ
ajst-26910	62	10	strength	strength	NOUN
ajst-26910	62	11	and	and	CCONJ
ajst-26910	62	12	potential	potential	ADJ
ajst-26910	62	13	when	when	SCONJ
ajst-26910	62	14	dealing	deal	VERB
ajst-26910	62	15	with	with	ADP
ajst-26910	62	16	nonlinear	nonlinear	ADJ
ajst-26910	62	17	time	time	NOUN
ajst-26910	62	18	series	series	PROPN
ajst-26910	62	19	data	data	PROPN
ajst-26910	62	20	.	.	PUNCT
ajst-26910	63	1	the	the	DET
ajst-26910	63	2	formula	formula	NOUN
ajst-26910	63	3	of	of	ADP
ajst-26910	63	4	the	the	DET
ajst-26910	63	5	hybrid	hybrid	ADJ
ajst-26910	63	6	model	model	NOUN
ajst-26910	63	7	combining	combine	VERB
ajst-26910	63	8	arima	arima	PROPN
ajst-26910	63	9	and	and	CCONJ
ajst-26910	63	10	lstm	lstm	NOUN
ajst-26910	63	11	is	be	AUX
ajst-26910	63	12	as	as	SCONJ
ajst-26910	63	13	follows	follow	VERB
ajst-26910	63	14	:	:	PUNCT
ajst-26910	63	15			PROPN
ajst-26910	63	16			PROPN
ajst-26910	63	17	1	1	PROPN
ajst-26910	63	18	,	,	PUNCT
ajst-26910	63	19			ADJ
ajst-26910	63	20	ttarimalstmpred	ttarimalstmpre	VERB
ajst-26910	63	21	hyffy	hyffy	NOUN
ajst-26910	63	22	(	(	PUNCT
ajst-26910	63	23	2	2	NUM
ajst-26910	63	24	)	)	PUNCT
ajst-26910	63	25	where	where	SCONJ
ajst-26910	63	26	:	:	PUNCT
ajst-26910	63	27	predy	predy	NOUN
ajst-26910	63	28	is	be	AUX
ajst-26910	63	29	the	the	DET
ajst-26910	63	30	final	final	ADJ
ajst-26910	63	31	predicted	predict	VERB
ajst-26910	63	32	value	value	NOUN
ajst-26910	63	33	;	;	PUNCT
ajst-26910	63	34	1th	1th	NUM
ajst-26910	63	35	is	be	AUX
ajst-26910	63	36	the	the	DET
ajst-26910	63	37	hidden	hidden	ADJ
ajst-26910	63	38	state	state	NOUN
ajst-26910	63	39	of	of	ADP
ajst-26910	63	40	the	the	DET
ajst-26910	63	41	lstm	lstm	PROPN
ajst-26910	63	42	model	model	NOUN
ajst-26910	63	43	at	at	ADP
ajst-26910	63	44	time	time	NOUN
ajst-26910	63	45	1t	1t	NUM
ajst-26910	63	46	.	.	PUNCT
ajst-26910	64	1	by	by	ADP
ajst-26910	64	2	combining	combine	VERB
ajst-26910	64	3	arima	arima	PROPN
ajst-26910	64	4	model	model	NOUN
ajst-26910	64	5	with	with	ADP
ajst-26910	64	6	lstm	lstm	PROPN
ajst-26910	64	7	network	network	NOUN
ajst-26910	64	8	,	,	PUNCT
ajst-26910	64	9	this	this	DET
ajst-26910	64	10	section	section	NOUN
ajst-26910	64	11	successfully	successfully	ADV
ajst-26910	64	12	constructs	construct	VERB
ajst-26910	64	13	arima	arima	NOUN
ajst-26910	64	14	-	-	PUNCT
ajst-26910	64	15	lstm	lstm	NOUN
ajst-26910	64	16	hybrid	hybrid	NOUN
ajst-26910	64	17	model	model	NOUN
ajst-26910	64	18	.	.	PUNCT
ajst-26910	65	1	this	this	DET
ajst-26910	65	2	model	model	NOUN
ajst-26910	65	3	not	not	PART
ajst-26910	65	4	only	only	ADV
ajst-26910	65	5	inherits	inherit	VERB
ajst-26910	65	6	the	the	DET
ajst-26910	65	7	advantages	advantage	NOUN
ajst-26910	65	8	of	of	ADP
ajst-26910	65	9	arima	arima	NOUN
ajst-26910	65	10	model	model	NOUN
ajst-26910	65	11	in	in	ADP
ajst-26910	65	12	capturing	capture	VERB
ajst-26910	65	13	linear	linear	ADJ
ajst-26910	65	14	relationship	relationship	NOUN
ajst-26910	65	15	and	and	CCONJ
ajst-26910	65	16	short	short	ADJ
ajst-26910	65	17	-	-	PUNCT
ajst-26910	65	18	term	term	NOUN
ajst-26910	65	19	fluctuation	fluctuation	NOUN
ajst-26910	65	20	,	,	PUNCT
ajst-26910	65	21	but	but	CCONJ
ajst-26910	65	22	also	also	ADV
ajst-26910	65	23	fully	fully	ADV
ajst-26910	65	24	absorbs	absorb	VERB
ajst-26910	65	25	the	the	DET
ajst-26910	65	26	advantages	advantage	NOUN
ajst-26910	65	27	of	of	ADP
ajst-26910	65	28	lstm	lstm	NOUN
ajst-26910	65	29	network	network	NOUN
ajst-26910	65	30	in	in	ADP
ajst-26910	65	31	dealing	deal	VERB
ajst-26910	65	32	with	with	ADP
ajst-26910	65	33	nonlinear	nonlinear	ADJ
ajst-26910	65	34	relationship	relationship	NOUN
ajst-26910	65	35	and	and	CCONJ
ajst-26910	65	36	long	long	ADJ
ajst-26910	65	37	-	-	PUNCT
ajst-26910	65	38	term	term	NOUN
ajst-26910	65	39	dependence	dependence	NOUN
ajst-26910	65	40	.	.	PUNCT
ajst-26910	66	1	in	in	ADP
ajst-26910	66	2	the	the	DET
ajst-26910	66	3	stage	stage	NOUN
ajst-26910	66	4	of	of	ADP
ajst-26910	66	5	model	model	NOUN
ajst-26910	66	6	training	training	NOUN
ajst-26910	66	7	,	,	PUNCT
ajst-26910	66	8	this	this	DET
ajst-26910	66	9	section	section	NOUN
ajst-26910	66	10	adopts	adopt	VERB
ajst-26910	66	11	the	the	DET
ajst-26910	66	12	method	method	NOUN
ajst-26910	66	13	of	of	ADP
ajst-26910	66	14	cross	cross	NOUN
ajst-26910	66	15	-	-	NOUN
ajst-26910	66	16	validation	validation	NOUN
ajst-26910	66	17	to	to	PART
ajst-26910	66	18	select	select	VERB
ajst-26910	66	19	the	the	DET
ajst-26910	66	20	optimal	optimal	ADJ
ajst-26910	66	21	model	model	NOUN
ajst-26910	66	22	parameters	parameter	NOUN
ajst-26910	66	23	,	,	PUNCT
ajst-26910	66	24	and	and	CCONJ
ajst-26910	66	25	optimizes	optimize	VERB
ajst-26910	66	26	the	the	DET
ajst-26910	66	27	weight	weight	NOUN
ajst-26910	66	28	and	and	CCONJ
ajst-26910	66	29	bias	bias	NOUN
ajst-26910	66	30	of	of	ADP
ajst-26910	66	31	the	the	DET
ajst-26910	66	32	model	model	NOUN
ajst-26910	66	33	through	through	ADP
ajst-26910	66	34	the	the	DET
ajst-26910	66	35	back	back	ADJ
ajst-26910	66	36	propagation	propagation	NOUN
ajst-26910	66	37	algorithm	algorithm	NOUN
ajst-26910	66	38	.	.	PUNCT
ajst-26910	67	1	through	through	ADP
ajst-26910	67	2	repeated	repeat	VERB
ajst-26910	67	3	iterative	iterative	NOUN
ajst-26910	67	4	training	training	NOUN
ajst-26910	67	5	,	,	PUNCT
ajst-26910	67	6	an	an	DET
ajst-26910	67	7	arima	arima	NOUN
ajst-26910	67	8	-	-	PUNCT
ajst-26910	67	9	lstm	lstm	NOUN
ajst-26910	67	10	hybrid	hybrid	NOUN
ajst-26910	67	11	model	model	NOUN
ajst-26910	67	12	is	be	AUX
ajst-26910	67	13	obtained	obtain	VERB
ajst-26910	67	14	,	,	PUNCT
ajst-26910	67	15	which	which	PRON
ajst-26910	67	16	can	can	AUX
ajst-26910	67	17	not	not	PART
ajst-26910	67	18	only	only	ADV
ajst-26910	67	19	capture	capture	VERB
ajst-26910	67	20	linear	linear	ADJ
ajst-26910	67	21	relations	relation	NOUN
ajst-26910	67	22	but	but	CCONJ
ajst-26910	67	23	also	also	ADV
ajst-26910	67	24	deal	deal	VERB
ajst-26910	67	25	with	with	ADP
ajst-26910	67	26	nonlinear	nonlinear	ADJ
ajst-26910	67	27	problems	problem	NOUN
ajst-26910	67	28	.	.	PUNCT
ajst-26910	68	1	3.3	3.3	NUM
ajst-26910	68	2	.	.	PUNCT
ajst-26910	69	1	experimental	experimental	ADJ
ajst-26910	69	2	design	design	NOUN
ajst-26910	69	3	and	and	CCONJ
ajst-26910	69	4	result	result	VERB
ajst-26910	69	5	analysis	analysis	NOUN
ajst-26910	69	6	in	in	ADP
ajst-26910	69	7	order	order	NOUN
ajst-26910	69	8	to	to	PART
ajst-26910	69	9	test	test	VERB
ajst-26910	69	10	the	the	DET
ajst-26910	69	11	efficacy	efficacy	NOUN
ajst-26910	69	12	of	of	ADP
ajst-26910	69	13	arima	arima	PROPN
ajst-26910	69	14	-	-	PUNCT
ajst-26910	69	15	lstm	lstm	NOUN
ajst-26910	69	16	mixed	mixed	ADJ
ajst-26910	69	17	model	model	NOUN
ajst-26910	69	18	,	,	PUNCT
ajst-26910	69	19	a	a	DET
ajst-26910	69	20	set	set	NOUN
ajst-26910	69	21	of	of	ADP
ajst-26910	69	22	rigorous	rigorous	ADJ
ajst-26910	69	23	experimental	experimental	ADJ
ajst-26910	69	24	procedures	procedure	NOUN
ajst-26910	69	25	was	be	AUX
ajst-26910	69	26	specified	specify	VERB
ajst-26910	69	27	.	.	PUNCT
ajst-26910	70	1	in	in	ADP
ajst-26910	70	2	the	the	DET
ajst-26910	70	3	process	process	NOUN
ajst-26910	70	4	,	,	PUNCT
ajst-26910	70	5	the	the	DET
ajst-26910	70	6	data	datum	NOUN
ajst-26910	70	7	set	set	VERB
ajst-26910	70	8	is	be	AUX
ajst-26910	70	9	divided	divide	VERB
ajst-26910	70	10	into	into	ADP
ajst-26910	70	11	two	two	NUM
ajst-26910	70	12	parts	part	NOUN
ajst-26910	70	13	:	:	PUNCT
ajst-26910	70	14	training	training	NOUN
ajst-26910	70	15	and	and	CCONJ
ajst-26910	70	16	testing	testing	NOUN
ajst-26910	70	17	.	.	PUNCT
ajst-26910	71	1	the	the	DET
ajst-26910	71	2	former	former	ADJ
ajst-26910	71	3	is	be	AUX
ajst-26910	71	4	dedicated	dedicate	VERB
ajst-26910	71	5	to	to	ADP
ajst-26910	71	6	model	model	NOUN
ajst-26910	71	7	learning	learning	NOUN
ajst-26910	71	8	,	,	PUNCT
ajst-26910	71	9	and	and	CCONJ
ajst-26910	71	10	the	the	DET
ajst-26910	71	11	latter	latter	ADJ
ajst-26910	71	12	is	be	AUX
ajst-26910	71	13	used	use	VERB
ajst-26910	71	14	to	to	PART
ajst-26910	71	15	measure	measure	VERB
ajst-26910	71	16	the	the	DET
ajst-26910	71	17	model	model	NOUN
ajst-26910	71	18	effect	effect	NOUN
ajst-26910	71	19	.	.	PUNCT
ajst-26910	72	1	arima	arima	PROPN
ajst-26910	72	2	model	model	PROPN
ajst-26910	72	3	,	,	PUNCT
ajst-26910	72	4	lstm	lstm	ADJ
ajst-26910	72	5	network	network	NOUN
ajst-26910	72	6	and	and	CCONJ
ajst-26910	72	7	arima	arima	NOUN
ajst-26910	72	8	-	-	PUNCT
ajst-26910	72	9	lstm	lstm	NOUN
ajst-26910	72	10	fusion	fusion	NOUN
ajst-26910	72	11	model	model	NOUN
ajst-26910	72	12	are	be	AUX
ajst-26910	72	13	used	use	VERB
ajst-26910	72	14	to	to	PART
ajst-26910	72	15	predict	predict	VERB
ajst-26910	72	16	the	the	DET
ajst-26910	72	17	test	test	NOUN
ajst-26910	72	18	set	set	VERB
ajst-26910	72	19	respectively	respectively	ADV
ajst-26910	72	20	,	,	PUNCT
ajst-26910	72	21	and	and	CCONJ
ajst-26910	72	22	their	their	PRON
ajst-26910	72	23	prediction	prediction	NOUN
ajst-26910	72	24	outputs	output	NOUN
ajst-26910	72	25	are	be	AUX
ajst-26910	72	26	recorded	record	VERB
ajst-26910	72	27	systematically	systematically	ADV
ajst-26910	72	28	.	.	PUNCT
ajst-26910	73	1	in	in	ADP
ajst-26910	73	2	order	order	NOUN
ajst-26910	73	3	to	to	PART
ajst-26910	73	4	comprehensively	comprehensively	ADV
ajst-26910	73	5	evaluate	evaluate	VERB
ajst-26910	73	6	the	the	DET
ajst-26910	73	7	prediction	prediction	NOUN
ajst-26910	73	8	ability	ability	NOUN
ajst-26910	73	9	of	of	ADP
ajst-26910	73	10	the	the	DET
ajst-26910	73	11	model	model	NOUN
ajst-26910	73	12	,	,	PUNCT
ajst-26910	73	13	the	the	DET
ajst-26910	73	14	experiment	experiment	NOUN
ajst-26910	73	15	adopted	adopt	VERB
ajst-26910	73	16	mean	mean	ADJ
ajst-26910	73	17	square	square	NOUN
ajst-26910	73	18	error	error	NOUN
ajst-26910	73	19	(	(	PUNCT
ajst-26910	73	20	mse	mse	NOUN
ajst-26910	73	21	)	)	PUNCT
ajst-26910	73	22	,	,	PUNCT
ajst-26910	73	23	root	root	NOUN
ajst-26910	73	24	mean	mean	VERB
ajst-26910	73	25	square	square	ADJ
ajst-26910	73	26	error	error	NOUN
ajst-26910	73	27	(	(	PUNCT
ajst-26910	73	28	rmse	rmse	NOUN
ajst-26910	73	29	)	)	PUNCT
ajst-26910	73	30	,	,	PUNCT
ajst-26910	73	31	mean	mean	VERB
ajst-26910	73	32	absolute	absolute	ADJ
ajst-26910	73	33	error	error	NOUN
ajst-26910	73	34	(	(	PUNCT
ajst-26910	73	35	mae	mae	PROPN
ajst-26910	73	36	)	)	PUNCT
ajst-26910	73	37	and	and	CCONJ
ajst-26910	73	38	accuracy	accuracy	NOUN
ajst-26910	73	39	index	index	NOUN
ajst-26910	73	40	as	as	ADP
ajst-26910	73	41	evaluation	evaluation	NOUN
ajst-26910	73	42	criteria	criterion	NOUN
ajst-26910	73	43	.	.	PUNCT
ajst-26910	74	1	table	table	NOUN
ajst-26910	74	2	1	1	NUM
ajst-26910	74	3	shows	show	VERB
ajst-26910	74	4	the	the	DET
ajst-26910	74	5	error	error	NOUN
ajst-26910	74	6	of	of	ADP
ajst-26910	74	7	the	the	DET
ajst-26910	74	8	model	model	NOUN
ajst-26910	74	9	.	.	PUNCT
ajst-26910	75	1	table	table	NOUN
ajst-26910	75	2	1	1	NUM
ajst-26910	75	3	.	.	PUNCT
ajst-26910	75	4	comparison	comparison	NOUN
ajst-26910	75	5	of	of	ADP
ajst-26910	75	6	prediction	prediction	NOUN
ajst-26910	75	7	errors	error	NOUN
ajst-26910	75	8	model	model	PROPN
ajst-26910	75	9	mse	mse	PROPN
ajst-26910	75	10	rmse	rmse	PROPN
ajst-26910	75	11	mae	mae	PROPN
ajst-26910	75	12	arima	arima	PROPN
ajst-26910	75	13	0.023	0.023	NUM
ajst-26910	75	14	0.152	0.152	NUM
ajst-26910	75	15	0.118	0.118	NUM
ajst-26910	75	16	lstm	lstm	PROPN
ajst-26910	75	17	0.019	0.019	NUM
ajst-26910	75	18	0.138	0.138	NUM
ajst-26910	75	19	0.105	0.105	NUM
ajst-26910	75	20	arima	arima	NOUN
ajst-26910	75	21	-	-	PUNCT
ajst-26910	75	22	lstm	lstm	NOUN
ajst-26910	75	23	0.015	0.015	NUM
ajst-26910	75	24	0.122	0.122	NUM
ajst-26910	75	25	0.093	0.093	NUM
ajst-26910	75	26	195	195	NUM
ajst-26910	75	27	from	from	ADP
ajst-26910	75	28	the	the	DET
ajst-26910	75	29	evaluation	evaluation	NOUN
ajst-26910	75	30	index	index	NOUN
ajst-26910	75	31	of	of	ADP
ajst-26910	75	32	mse	mse	PROPN
ajst-26910	75	33	,	,	PUNCT
ajst-26910	75	34	the	the	DET
ajst-26910	75	35	mse	mse	NOUN
ajst-26910	75	36	value	value	NOUN
ajst-26910	75	37	of	of	ADP
ajst-26910	75	38	arima	arima	NOUN
ajst-26910	75	39	-	-	PUNCT
ajst-26910	75	40	lstm	lstm	NOUN
ajst-26910	75	41	mixed	mixed	ADJ
ajst-26910	75	42	model	model	NOUN
ajst-26910	75	43	is	be	AUX
ajst-26910	75	44	0.015	0.015	NUM
ajst-26910	75	45	,	,	PUNCT
ajst-26910	75	46	which	which	PRON
ajst-26910	75	47	is	be	AUX
ajst-26910	75	48	obviously	obviously	ADV
ajst-26910	75	49	lower	low	ADJ
ajst-26910	75	50	than	than	ADP
ajst-26910	75	51	that	that	PRON
ajst-26910	75	52	of	of	ADP
ajst-26910	75	53	single	single	ADJ
ajst-26910	75	54	arima	arima	NOUN
ajst-26910	75	55	model	model	NOUN
ajst-26910	75	56	(	(	PUNCT
ajst-26910	75	57	0.023	0.023	NUM
ajst-26910	75	58	)	)	PUNCT
ajst-26910	75	59	and	and	CCONJ
ajst-26910	75	60	lstm	lstm	NOUN
ajst-26910	75	61	network	network	NOUN
ajst-26910	75	62	(	(	PUNCT
ajst-26910	75	63	0.019	0.019	NUM
ajst-26910	75	64	)	)	PUNCT
ajst-26910	75	65	.	.	PUNCT
ajst-26910	76	1	this	this	PRON
ajst-26910	76	2	shows	show	VERB
ajst-26910	76	3	that	that	SCONJ
ajst-26910	76	4	arima	arima	NOUN
ajst-26910	76	5	-	-	PUNCT
ajst-26910	76	6	lstm	lstm	NOUN
ajst-26910	76	7	hybrid	hybrid	NOUN
ajst-26910	76	8	model	model	NOUN
ajst-26910	76	9	has	have	VERB
ajst-26910	76	10	higher	high	ADJ
ajst-26910	76	11	accuracy	accuracy	NOUN
ajst-26910	76	12	in	in	ADP
ajst-26910	76	13	forecasting	forecast	VERB
ajst-26910	76	14	meteorological	meteorological	ADJ
ajst-26910	76	15	data	datum	NOUN
ajst-26910	76	16	.	.	PUNCT
ajst-26910	77	1	in	in	ADP
ajst-26910	77	2	terms	term	NOUN
ajst-26910	77	3	of	of	ADP
ajst-26910	77	4	rmse	rmse	NOUN
ajst-26910	77	5	,	,	PUNCT
ajst-26910	77	6	the	the	DET
ajst-26910	77	7	rmse	rmse	ADJ
ajst-26910	77	8	value	value	NOUN
ajst-26910	77	9	of	of	ADP
ajst-26910	77	10	arima	arima	NOUN
ajst-26910	77	11	-	-	PUNCT
ajst-26910	77	12	lstm	lstm	NOUN
ajst-26910	77	13	mixed	mixed	ADJ
ajst-26910	77	14	model	model	NOUN
ajst-26910	77	15	is	be	AUX
ajst-26910	77	16	0.122	0.122	NUM
ajst-26910	77	17	,	,	PUNCT
ajst-26910	77	18	which	which	PRON
ajst-26910	77	19	is	be	AUX
ajst-26910	77	20	also	also	ADV
ajst-26910	77	21	lower	low	ADJ
ajst-26910	77	22	than	than	ADP
ajst-26910	77	23	arima	arima	NOUN
ajst-26910	77	24	model	model	NOUN
ajst-26910	77	25	(	(	PUNCT
ajst-26910	77	26	0.152	0.152	NUM
ajst-26910	77	27	)	)	PUNCT
ajst-26910	77	28	and	and	CCONJ
ajst-26910	77	29	lstm	lstm	NOUN
ajst-26910	77	30	network	network	NOUN
ajst-26910	77	31	(	(	PUNCT
ajst-26910	77	32	0.138	0.138	NUM
ajst-26910	77	33	)	)	PUNCT
ajst-26910	77	34	.	.	PUNCT
ajst-26910	78	1	this	this	PRON
ajst-26910	78	2	further	far	ADV
ajst-26910	78	3	confirms	confirm	VERB
ajst-26910	78	4	the	the	DET
ajst-26910	78	5	superiority	superiority	NOUN
ajst-26910	78	6	of	of	ADP
ajst-26910	78	7	arima	arima	NOUN
ajst-26910	78	8	-	-	PUNCT
ajst-26910	78	9	lstm	lstm	NOUN
ajst-26910	78	10	hybrid	hybrid	NOUN
ajst-26910	78	11	model	model	NOUN
ajst-26910	78	12	in	in	ADP
ajst-26910	78	13	forecasting	forecast	VERB
ajst-26910	78	14	meteorological	meteorological	ADJ
ajst-26910	78	15	data	datum	NOUN
ajst-26910	78	16	.	.	PUNCT
ajst-26910	79	1	from	from	ADP
ajst-26910	79	2	the	the	DET
ajst-26910	79	3	perspective	perspective	NOUN
ajst-26910	79	4	of	of	ADP
ajst-26910	79	5	mae	mae	PROPN
ajst-26910	79	6	,	,	PUNCT
ajst-26910	79	7	the	the	DET
ajst-26910	79	8	mae	mae	PROPN
ajst-26910	79	9	value	value	NOUN
ajst-26910	79	10	of	of	ADP
ajst-26910	79	11	arimalstm	arimalstm	PROPN
ajst-26910	79	12	mixed	mixed	ADJ
ajst-26910	79	13	model	model	NOUN
ajst-26910	79	14	is	be	AUX
ajst-26910	79	15	0.093	0.093	NUM
ajst-26910	79	16	,	,	PUNCT
ajst-26910	79	17	which	which	PRON
ajst-26910	79	18	is	be	AUX
ajst-26910	79	19	also	also	ADV
ajst-26910	79	20	the	the	DET
ajst-26910	79	21	lowest	low	ADJ
ajst-26910	79	22	among	among	ADP
ajst-26910	79	23	the	the	DET
ajst-26910	79	24	three	three	NUM
ajst-26910	79	25	models	model	NOUN
ajst-26910	79	26	.	.	PUNCT
ajst-26910	80	1	this	this	PRON
ajst-26910	80	2	once	once	ADV
ajst-26910	80	3	again	again	ADV
ajst-26910	80	4	proves	prove	VERB
ajst-26910	80	5	the	the	DET
ajst-26910	80	6	effectiveness	effectiveness	NOUN
ajst-26910	80	7	and	and	CCONJ
ajst-26910	80	8	advantages	advantage	NOUN
ajst-26910	80	9	of	of	ADP
ajst-26910	80	10	arima	arima	NOUN
ajst-26910	80	11	-	-	PUNCT
ajst-26910	80	12	lstm	lstm	NOUN
ajst-26910	80	13	hybrid	hybrid	NOUN
ajst-26910	80	14	model	model	NOUN
ajst-26910	80	15	in	in	ADP
ajst-26910	80	16	forecasting	forecast	VERB
ajst-26910	80	17	meteorological	meteorological	ADJ
ajst-26910	80	18	data	datum	NOUN
ajst-26910	80	19	time	time	NOUN
ajst-26910	80	20	series	series	PROPN
ajst-26910	80	21	.	.	PUNCT
ajst-26910	81	1	to	to	PART
ajst-26910	81	2	sum	sum	VERB
ajst-26910	81	3	up	up	ADP
ajst-26910	81	4	,	,	PUNCT
ajst-26910	81	5	the	the	DET
ajst-26910	81	6	arima	arima	NOUN
ajst-26910	81	7	-	-	PUNCT
ajst-26910	81	8	lstm	lstm	NOUN
ajst-26910	81	9	hybrid	hybrid	NOUN
ajst-26910	81	10	model	model	NOUN
ajst-26910	81	11	is	be	AUX
ajst-26910	81	12	superior	superior	ADJ
ajst-26910	81	13	to	to	ADP
ajst-26910	81	14	the	the	DET
ajst-26910	81	15	single	single	ADJ
ajst-26910	81	16	arima	arima	NOUN
ajst-26910	81	17	model	model	NOUN
ajst-26910	81	18	and	and	CCONJ
ajst-26910	81	19	lstm	lstm	NOUN
ajst-26910	81	20	network	network	NOUN
ajst-26910	81	21	in	in	ADP
ajst-26910	81	22	mse	mse	PROPN
ajst-26910	81	23	,	,	PUNCT
ajst-26910	81	24	rmse	rmse	PROPN
ajst-26910	81	25	and	and	CCONJ
ajst-26910	81	26	mae	mae	PROPN
ajst-26910	81	27	.	.	PROPN
ajst-26910	82	1	this	this	PRON
ajst-26910	82	2	shows	show	VERB
ajst-26910	82	3	that	that	SCONJ
ajst-26910	82	4	the	the	DET
ajst-26910	82	5	hybrid	hybrid	NOUN
ajst-26910	82	6	model	model	NOUN
ajst-26910	82	7	performs	perform	VERB
ajst-26910	82	8	better	well	ADV
ajst-26910	82	9	in	in	ADP
ajst-26910	82	10	capturing	capture	VERB
ajst-26910	82	11	trends	trend	NOUN
ajst-26910	82	12	and	and	CCONJ
ajst-26910	82	13	seasonal	seasonal	ADJ
ajst-26910	82	14	changes	change	NOUN
ajst-26910	82	15	in	in	ADP
ajst-26910	82	16	meteorological	meteorological	ADJ
ajst-26910	82	17	data	datum	NOUN
ajst-26910	82	18	,	,	PUNCT
ajst-26910	82	19	and	and	CCONJ
ajst-26910	82	20	also	also	ADV
ajst-26910	82	21	shows	show	VERB
ajst-26910	82	22	stronger	strong	ADJ
ajst-26910	82	23	ability	ability	NOUN
ajst-26910	82	24	in	in	ADP
ajst-26910	82	25	dealing	deal	VERB
ajst-26910	82	26	with	with	ADP
ajst-26910	82	27	nonlinear	nonlinear	ADJ
ajst-26910	82	28	relations	relation	NOUN
ajst-26910	82	29	and	and	CCONJ
ajst-26910	82	30	long	long	ADJ
ajst-26910	82	31	-	-	PUNCT
ajst-26910	82	32	term	term	NOUN
ajst-26910	82	33	dependence	dependence	NOUN
ajst-26910	82	34	.	.	PUNCT
ajst-26910	83	1	therefore	therefore	ADV
ajst-26910	83	2	,	,	PUNCT
ajst-26910	83	3	this	this	DET
ajst-26910	83	4	article	article	NOUN
ajst-26910	83	5	draws	draw	VERB
ajst-26910	83	6	the	the	DET
ajst-26910	83	7	conclusion	conclusion	NOUN
ajst-26910	83	8	that	that	SCONJ
ajst-26910	83	9	arima	arima	NOUN
ajst-26910	83	10	-	-	PUNCT
ajst-26910	83	11	lstm	lstm	NOUN
ajst-26910	83	12	hybrid	hybrid	NOUN
ajst-26910	83	13	model	model	NOUN
ajst-26910	83	14	has	have	AUX
ajst-26910	83	15	higher	high	ADJ
ajst-26910	83	16	prediction	prediction	NOUN
ajst-26910	83	17	accuracy	accuracy	NOUN
ajst-26910	83	18	and	and	CCONJ
ajst-26910	83	19	stability	stability	NOUN
ajst-26910	83	20	in	in	ADP
ajst-26910	83	21	meteorological	meteorological	ADJ
ajst-26910	83	22	data	datum	NOUN
ajst-26910	83	23	time	time	PROPN
ajst-26910	83	24	series	series	PROPN
ajst-26910	83	25	prediction	prediction	PROPN
ajst-26910	83	26	,	,	PUNCT
ajst-26910	83	27	and	and	CCONJ
ajst-26910	83	28	it	it	PRON
ajst-26910	83	29	is	be	AUX
ajst-26910	83	30	an	an	DET
ajst-26910	83	31	effective	effective	ADJ
ajst-26910	83	32	prediction	prediction	NOUN
ajst-26910	83	33	method	method	NOUN
ajst-26910	83	34	.	.	PUNCT
ajst-26910	84	1	figure	figure	NOUN
ajst-26910	84	2	1	1	NUM
ajst-26910	84	3	shows	show	VERB
ajst-26910	84	4	the	the	DET
ajst-26910	84	5	prediction	prediction	NOUN
ajst-26910	84	6	accuracy	accuracy	NOUN
ajst-26910	84	7	of	of	ADP
ajst-26910	84	8	the	the	DET
ajst-26910	84	9	model	model	NOUN
ajst-26910	84	10	.	.	PUNCT
ajst-26910	85	1	figure	figure	VERB
ajst-26910	85	2	1	1	NUM
ajst-26910	85	3	.	.	PUNCT
ajst-26910	85	4	prediction	prediction	NOUN
ajst-26910	85	5	accuracy	accuracy	NOUN
ajst-26910	85	6	of	of	ADP
ajst-26910	85	7	the	the	DET
ajst-26910	85	8	model	model	NOUN
ajst-26910	85	9	the	the	DET
ajst-26910	85	10	prediction	prediction	NOUN
ajst-26910	85	11	accuracy	accuracy	NOUN
ajst-26910	85	12	of	of	ADP
ajst-26910	85	13	arima	arima	NOUN
ajst-26910	85	14	-	-	PUNCT
ajst-26910	85	15	lstm	lstm	NOUN
ajst-26910	85	16	hybrid	hybrid	NOUN
ajst-26910	85	17	model	model	NOUN
ajst-26910	85	18	reaches	reach	VERB
ajst-26910	85	19	90	90	NUM
ajst-26910	85	20	%	%	NOUN
ajst-26910	85	21	and	and	CCONJ
ajst-26910	85	22	higher	high	ADJ
ajst-26910	85	23	.	.	PUNCT
ajst-26910	86	1	this	this	DET
ajst-26910	86	2	remarkable	remarkable	ADJ
ajst-26910	86	3	improvement	improvement	NOUN
ajst-26910	86	4	shows	show	VERB
ajst-26910	86	5	that	that	SCONJ
ajst-26910	86	6	the	the	DET
ajst-26910	86	7	hybrid	hybrid	NOUN
ajst-26910	86	8	model	model	NOUN
ajst-26910	86	9	successfully	successfully	ADV
ajst-26910	86	10	combines	combine	VERB
ajst-26910	86	11	the	the	DET
ajst-26910	86	12	advantages	advantage	NOUN
ajst-26910	86	13	of	of	ADP
ajst-26910	86	14	arima	arima	NOUN
ajst-26910	86	15	model	model	NOUN
ajst-26910	86	16	and	and	CCONJ
ajst-26910	86	17	lstm	lstm	NOUN
ajst-26910	86	18	network	network	NOUN
ajst-26910	86	19	,	,	PUNCT
ajst-26910	86	20	which	which	PRON
ajst-26910	86	21	can	can	AUX
ajst-26910	86	22	not	not	PART
ajst-26910	86	23	only	only	ADV
ajst-26910	86	24	accurately	accurately	ADV
ajst-26910	86	25	capture	capture	VERB
ajst-26910	86	26	linear	linear	ADJ
ajst-26910	86	27	relationship	relationship	NOUN
ajst-26910	86	28	and	and	CCONJ
ajst-26910	86	29	short	short	ADJ
ajst-26910	86	30	-	-	PUNCT
ajst-26910	86	31	term	term	NOUN
ajst-26910	86	32	fluctuation	fluctuation	NOUN
ajst-26910	86	33	,	,	PUNCT
ajst-26910	86	34	but	but	CCONJ
ajst-26910	86	35	also	also	ADV
ajst-26910	86	36	effectively	effectively	ADV
ajst-26910	86	37	deal	deal	VERB
ajst-26910	86	38	with	with	ADP
ajst-26910	86	39	nonlinear	nonlinear	ADJ
ajst-26910	86	40	relationship	relationship	NOUN
ajst-26910	86	41	and	and	CCONJ
ajst-26910	86	42	long	long	ADJ
ajst-26910	86	43	-	-	PUNCT
ajst-26910	86	44	term	term	NOUN
ajst-26910	86	45	dependence	dependence	NOUN
ajst-26910	86	46	.	.	PUNCT
ajst-26910	87	1	combined	combine	VERB
ajst-26910	87	2	with	with	ADP
ajst-26910	87	3	the	the	DET
ajst-26910	87	4	previous	previous	ADJ
ajst-26910	87	5	analysis	analysis	NOUN
ajst-26910	87	6	of	of	ADP
ajst-26910	87	7	model	model	NOUN
ajst-26910	87	8	errors	error	NOUN
ajst-26910	87	9	(	(	PUNCT
ajst-26910	87	10	mse	mse	PROPN
ajst-26910	87	11	,	,	PUNCT
ajst-26910	87	12	rmse	rmse	PROPN
ajst-26910	87	13	,	,	PUNCT
ajst-26910	87	14	mae	mae	PROPN
ajst-26910	87	15	)	)	PUNCT
ajst-26910	87	16	,	,	PUNCT
ajst-26910	87	17	we	we	PRON
ajst-26910	87	18	can	can	AUX
ajst-26910	87	19	further	far	ADV
ajst-26910	87	20	confirm	confirm	VERB
ajst-26910	87	21	the	the	DET
ajst-26910	87	22	advantages	advantage	NOUN
ajst-26910	87	23	of	of	ADP
ajst-26910	87	24	arima	arima	NOUN
ajst-26910	87	25	-	-	PUNCT
ajst-26910	87	26	lstm	lstm	NOUN
ajst-26910	87	27	hybrid	hybrid	NOUN
ajst-26910	87	28	model	model	NOUN
ajst-26910	87	29	in	in	ADP
ajst-26910	87	30	prediction	prediction	NOUN
ajst-26910	87	31	accuracy	accuracy	NOUN
ajst-26910	87	32	and	and	CCONJ
ajst-26910	87	33	stability	stability	NOUN
ajst-26910	87	34	.	.	PUNCT
ajst-26910	88	1	the	the	DET
ajst-26910	88	2	hybrid	hybrid	NOUN
ajst-26910	88	3	model	model	NOUN
ajst-26910	88	4	not	not	PART
ajst-26910	88	5	only	only	ADV
ajst-26910	88	6	improves	improve	VERB
ajst-26910	88	7	the	the	DET
ajst-26910	88	8	prediction	prediction	NOUN
ajst-26910	88	9	accuracy	accuracy	NOUN
ajst-26910	88	10	,	,	PUNCT
ajst-26910	88	11	but	but	CCONJ
ajst-26910	88	12	also	also	ADV
ajst-26910	88	13	makes	make	VERB
ajst-26910	88	14	remarkable	remarkable	ADJ
ajst-26910	88	15	achievements	achievement	NOUN
ajst-26910	88	16	in	in	ADP
ajst-26910	88	17	reducing	reduce	VERB
ajst-26910	88	18	the	the	DET
ajst-26910	88	19	prediction	prediction	NOUN
ajst-26910	88	20	error	error	NOUN
ajst-26910	88	21	.	.	PUNCT
ajst-26910	89	1	these	these	DET
ajst-26910	89	2	results	result	NOUN
ajst-26910	89	3	fully	fully	ADV
ajst-26910	89	4	prove	prove	VERB
ajst-26910	89	5	the	the	DET
ajst-26910	89	6	effectiveness	effectiveness	NOUN
ajst-26910	89	7	and	and	CCONJ
ajst-26910	89	8	superiority	superiority	NOUN
ajst-26910	89	9	of	of	ADP
ajst-26910	89	10	arima	arima	NOUN
ajst-26910	89	11	-	-	PUNCT
ajst-26910	89	12	lstm	lstm	NOUN
ajst-26910	89	13	hybrid	hybrid	NOUN
ajst-26910	89	14	model	model	NOUN
ajst-26910	89	15	in	in	ADP
ajst-26910	89	16	forecasting	forecast	VERB
ajst-26910	89	17	meteorological	meteorological	ADJ
ajst-26910	89	18	data	datum	NOUN
ajst-26910	89	19	time	time	NOUN
ajst-26910	89	20	series	series	PROPN
ajst-26910	89	21	.	.	PUNCT
ajst-26910	90	1	4	4	X
ajst-26910	90	2	.	.	X
ajst-26910	90	3	conclusions	conclusion	NOUN
ajst-26910	90	4	this	this	DET
ajst-26910	90	5	study	study	NOUN
ajst-26910	90	6	is	be	AUX
ajst-26910	90	7	devoted	devote	VERB
ajst-26910	90	8	to	to	ADP
ajst-26910	90	9	exploring	explore	VERB
ajst-26910	90	10	and	and	CCONJ
ajst-26910	90	11	verifying	verify	VERB
ajst-26910	90	12	the	the	DET
ajst-26910	90	13	effectiveness	effectiveness	NOUN
ajst-26910	90	14	of	of	ADP
ajst-26910	90	15	arima	arima	NOUN
ajst-26910	90	16	-	-	PUNCT
ajst-26910	90	17	lstm	lstm	NOUN
ajst-26910	90	18	hybrid	hybrid	NOUN
ajst-26910	90	19	model	model	NOUN
ajst-26910	90	20	in	in	ADP
ajst-26910	90	21	forecasting	forecast	VERB
ajst-26910	90	22	meteorological	meteorological	ADJ
ajst-26910	90	23	data	datum	NOUN
ajst-26910	90	24	time	time	NOUN
ajst-26910	90	25	series	series	PROPN
ajst-26910	90	26	.	.	PUNCT
ajst-26910	91	1	by	by	ADP
ajst-26910	91	2	combining	combine	VERB
ajst-26910	91	3	the	the	DET
ajst-26910	91	4	ability	ability	NOUN
ajst-26910	91	5	of	of	ADP
ajst-26910	91	6	arima	arima	PROPN
ajst-26910	91	7	model	model	NOUN
ajst-26910	91	8	in	in	ADP
ajst-26910	91	9	capturing	capture	VERB
ajst-26910	91	10	linear	linear	ADJ
ajst-26910	91	11	relationship	relationship	NOUN
ajst-26910	91	12	and	and	CCONJ
ajst-26910	91	13	short	short	ADJ
ajst-26910	91	14	-	-	PUNCT
ajst-26910	91	15	term	term	NOUN
ajst-26910	91	16	fluctuation	fluctuation	NOUN
ajst-26910	91	17	,	,	PUNCT
ajst-26910	91	18	and	and	CCONJ
ajst-26910	91	19	the	the	DET
ajst-26910	91	20	strong	strong	ADJ
ajst-26910	91	21	ability	ability	NOUN
ajst-26910	91	22	of	of	ADP
ajst-26910	91	23	lstm	lstm	ADJ
ajst-26910	91	24	network	network	NOUN
ajst-26910	91	25	in	in	ADP
ajst-26910	91	26	dealing	deal	VERB
ajst-26910	91	27	with	with	ADP
ajst-26910	91	28	nonlinear	nonlinear	ADJ
ajst-26910	91	29	problems	problem	NOUN
ajst-26910	91	30	and	and	CCONJ
ajst-26910	91	31	long	long	ADJ
ajst-26910	91	32	-	-	PUNCT
ajst-26910	91	33	term	term	NOUN
ajst-26910	91	34	dependence	dependence	NOUN
ajst-26910	91	35	,	,	PUNCT
ajst-26910	91	36	a	a	DET
ajst-26910	91	37	hybrid	hybrid	ADJ
ajst-26910	91	38	forecasting	forecasting	NOUN
ajst-26910	91	39	model	model	NOUN
ajst-26910	91	40	is	be	AUX
ajst-26910	91	41	constructed	construct	VERB
ajst-26910	91	42	in	in	ADP
ajst-26910	91	43	this	this	DET
ajst-26910	91	44	article	article	NOUN
ajst-26910	91	45	,	,	PUNCT
ajst-26910	91	46	which	which	PRON
ajst-26910	91	47	can	can	AUX
ajst-26910	91	48	not	not	PART
ajst-26910	91	49	only	only	ADV
ajst-26910	91	50	accurately	accurately	ADV
ajst-26910	91	51	reflect	reflect	VERB
ajst-26910	91	52	the	the	DET
ajst-26910	91	53	linear	linear	ADJ
ajst-26910	91	54	characteristics	characteristic	NOUN
ajst-26910	91	55	of	of	ADP
ajst-26910	91	56	meteorological	meteorological	ADJ
ajst-26910	91	57	data	datum	NOUN
ajst-26910	91	58	time	time	NOUN
ajst-26910	91	59	series	series	NOUN
ajst-26910	91	60	,	,	PUNCT
ajst-26910	91	61	but	but	CCONJ
ajst-26910	91	62	also	also	ADV
ajst-26910	91	63	effectively	effectively	ADV
ajst-26910	91	64	capture	capture	VERB
ajst-26910	91	65	its	its	PRON
ajst-26910	91	66	nonlinear	nonlinear	ADJ
ajst-26910	91	67	changes	change	NOUN
ajst-26910	91	68	.	.	PUNCT
ajst-26910	92	1	the	the	DET
ajst-26910	92	2	experimental	experimental	ADJ
ajst-26910	92	3	results	result	NOUN
ajst-26910	92	4	show	show	VERB
ajst-26910	92	5	that	that	SCONJ
ajst-26910	92	6	compared	compare	VERB
ajst-26910	92	7	with	with	ADP
ajst-26910	92	8	single	single	ADJ
ajst-26910	92	9	arima	arima	NOUN
ajst-26910	92	10	model	model	NOUN
ajst-26910	92	11	and	and	CCONJ
ajst-26910	92	12	lstm	lstm	PROPN
ajst-26910	92	13	network	network	NOUN
ajst-26910	92	14	,	,	PUNCT
ajst-26910	92	15	arima	arima	NOUN
ajst-26910	92	16	-	-	PUNCT
ajst-26910	92	17	lstm	lstm	NOUN
ajst-26910	92	18	hybrid	hybrid	NOUN
ajst-26910	92	19	model	model	NOUN
ajst-26910	92	20	has	have	VERB
ajst-26910	92	21	obvious	obvious	ADJ
ajst-26910	92	22	advantages	advantage	NOUN
ajst-26910	92	23	in	in	ADP
ajst-26910	92	24	prediction	prediction	NOUN
ajst-26910	92	25	accuracy	accuracy	NOUN
ajst-26910	92	26	and	and	CCONJ
ajst-26910	92	27	stability	stability	NOUN
ajst-26910	92	28	.	.	PUNCT
ajst-26910	93	1	this	this	DET
ajst-26910	93	2	discovery	discovery	NOUN
ajst-26910	93	3	not	not	PART
ajst-26910	93	4	only	only	ADV
ajst-26910	93	5	provides	provide	VERB
ajst-26910	93	6	new	new	ADJ
ajst-26910	93	7	ideas	idea	NOUN
ajst-26910	93	8	and	and	CCONJ
ajst-26910	93	9	methods	method	NOUN
ajst-26910	93	10	for	for	ADP
ajst-26910	93	11	time	time	NOUN
ajst-26910	93	12	series	series	PROPN
ajst-26910	93	13	prediction	prediction	NOUN
ajst-26910	93	14	of	of	ADP
ajst-26910	93	15	meteorological	meteorological	ADJ
ajst-26910	93	16	data	datum	NOUN
ajst-26910	93	17	,	,	PUNCT
ajst-26910	93	18	but	but	CCONJ
ajst-26910	93	19	also	also	ADV
ajst-26910	93	20	provides	provide	VERB
ajst-26910	93	21	useful	useful	ADJ
ajst-26910	93	22	reference	reference	NOUN
ajst-26910	93	23	for	for	ADP
ajst-26910	93	24	time	time	NOUN
ajst-26910	93	25	series	series	PROPN
ajst-26910	93	26	prediction	prediction	NOUN
ajst-26910	93	27	in	in	ADP
ajst-26910	93	28	other	other	ADJ
ajst-26910	93	29	fields	field	NOUN
ajst-26910	93	30	.	.	PUNCT
ajst-26910	94	1	in	in	ADP
ajst-26910	94	2	the	the	DET
ajst-26910	94	3	stage	stage	NOUN
ajst-26910	94	4	of	of	ADP
ajst-26910	94	5	model	model	NOUN
ajst-26910	94	6	construction	construction	NOUN
ajst-26910	94	7	and	and	CCONJ
ajst-26910	94	8	training	training	NOUN
ajst-26910	94	9	,	,	PUNCT
ajst-26910	94	10	this	this	DET
ajst-26910	94	11	article	article	NOUN
ajst-26910	94	12	deeply	deeply	ADV
ajst-26910	94	13	analyzes	analyze	VERB
ajst-26910	94	14	the	the	DET
ajst-26910	94	15	characteristics	characteristic	NOUN
ajst-26910	94	16	and	and	CCONJ
ajst-26910	94	17	laws	law	NOUN
ajst-26910	94	18	of	of	ADP
ajst-26910	94	19	meteorological	meteorological	ADJ
ajst-26910	94	20	data	datum	NOUN
ajst-26910	94	21	,	,	PUNCT
ajst-26910	94	22	and	and	CCONJ
ajst-26910	94	23	comprehensively	comprehensively	ADV
ajst-26910	94	24	preprocesses	preprocesse	VERB
ajst-26910	94	25	the	the	DET
ajst-26910	94	26	original	original	ADJ
ajst-26910	94	27	data	datum	NOUN
ajst-26910	94	28	to	to	PART
ajst-26910	94	29	ensure	ensure	VERB
ajst-26910	94	30	the	the	DET
ajst-26910	94	31	quality	quality	NOUN
ajst-26910	94	32	and	and	CCONJ
ajst-26910	94	33	consistency	consistency	NOUN
ajst-26910	94	34	of	of	ADP
ajst-26910	94	35	the	the	DET
ajst-26910	94	36	data	datum	NOUN
ajst-26910	94	37	.	.	PUNCT
ajst-26910	95	1	at	at	ADP
ajst-26910	95	2	the	the	DET
ajst-26910	95	3	same	same	ADJ
ajst-26910	95	4	time	time	NOUN
ajst-26910	95	5	,	,	PUNCT
ajst-26910	95	6	through	through	ADP
ajst-26910	95	7	repeated	repeat	VERB
ajst-26910	95	8	experiments	experiment	NOUN
ajst-26910	95	9	and	and	CCONJ
ajst-26910	95	10	parameter	parameter	NOUN
ajst-26910	95	11	optimization	optimization	NOUN
ajst-26910	95	12	,	,	PUNCT
ajst-26910	95	13	the	the	DET
ajst-26910	95	14	arima	arima	NOUN
ajst-26910	95	15	-	-	PUNCT
ajst-26910	95	16	lstm	lstm	NOUN
ajst-26910	95	17	hybrid	hybrid	NOUN
ajst-26910	95	18	model	model	NOUN
ajst-26910	95	19	with	with	ADP
ajst-26910	95	20	superior	superior	ADJ
ajst-26910	95	21	performance	performance	NOUN
ajst-26910	95	22	is	be	AUX
ajst-26910	95	23	obtained	obtain	VERB
ajst-26910	95	24	.	.	PUNCT
ajst-26910	96	1	when	when	SCONJ
ajst-26910	96	2	forecasting	forecast	VERB
ajst-26910	96	3	meteorological	meteorological	ADJ
ajst-26910	96	4	data	datum	NOUN
ajst-26910	96	5	,	,	PUNCT
ajst-26910	96	6	the	the	DET
ajst-26910	96	7	model	model	NOUN
ajst-26910	96	8	can	can	AUX
ajst-26910	96	9	accurately	accurately	ADV
ajst-26910	96	10	capture	capture	VERB
ajst-26910	96	11	the	the	DET
ajst-26910	96	12	trend	trend	NOUN
ajst-26910	96	13	,	,	PUNCT
ajst-26910	96	14	seasonality	seasonality	NOUN
ajst-26910	96	15	and	and	CCONJ
ajst-26910	96	16	random	random	ADJ
ajst-26910	96	17	fluctuation	fluctuation	NOUN
ajst-26910	96	18	in	in	ADP
ajst-26910	96	19	the	the	DET
ajst-26910	96	20	data	datum	NOUN
ajst-26910	96	21	,	,	PUNCT
ajst-26910	96	22	which	which	PRON
ajst-26910	96	23	provides	provide	VERB
ajst-26910	96	24	a	a	DET
ajst-26910	96	25	reliable	reliable	ADJ
ajst-26910	96	26	scientific	scientific	ADJ
ajst-26910	96	27	basis	basis	NOUN
ajst-26910	96	28	for	for	ADP
ajst-26910	96	29	meteorological	meteorological	ADJ
ajst-26910	96	30	forecasting	forecasting	NOUN
ajst-26910	96	31	and	and	CCONJ
ajst-26910	96	32	decision	decision	NOUN
ajst-26910	96	33	support	support	NOUN
ajst-26910	96	34	.	.	PUNCT
ajst-26910	97	1	references	reference	NOUN
ajst-26910	97	2	[	[	X
ajst-26910	97	3	1	1	X
ajst-26910	97	4	]	]	PUNCT
ajst-26910	97	5	işık	işık	NOUN
ajst-26910	97	6	e	e	NOUN
ajst-26910	97	7	,	,	PUNCT
ajst-26910	97	8	inallı	inallı	PROPN
ajst-26910	97	9	m.	m.	NOUN
ajst-26910	97	10	artificial	artificial	ADJ
ajst-26910	97	11	neural	neural	ADJ
ajst-26910	97	12	networks	network	NOUN
ajst-26910	97	13	and	and	CCONJ
ajst-26910	97	14	adaptive	adaptive	ADJ
ajst-26910	97	15	neurofuzzy	neurofuzzy	ADJ
ajst-26910	97	16	inference	inference	NOUN
ajst-26910	97	17	systems	system	NOUN
ajst-26910	97	18	approaches	approach	NOUN
ajst-26910	97	19	to	to	PART
ajst-26910	97	20	forecast	forecast	VERB
ajst-26910	97	21	the	the	DET
ajst-26910	97	22	meteorological	meteorological	ADJ
ajst-26910	97	23	data	datum	NOUN
ajst-26910	97	24	for	for	ADP
ajst-26910	97	25	hvac	hvac	NOUN
ajst-26910	97	26	:	:	PUNCT
ajst-26910	97	27	the	the	DET
ajst-26910	97	28	case	case	NOUN
ajst-26910	97	29	of	of	ADP
ajst-26910	97	30	cities	city	NOUN
ajst-26910	97	31	for	for	ADP
ajst-26910	97	32	turkey[j	turkey[j	NOUN
ajst-26910	97	33	]	]	PUNCT
ajst-26910	97	34	.	.	PUNCT
ajst-26910	98	1	energy	energy	NOUN
ajst-26910	98	2	,	,	PUNCT
ajst-26910	98	3	2018	2018	NUM
ajst-26910	98	4	,	,	PUNCT
ajst-26910	98	5	154	154	NUM
ajst-26910	98	6	:	:	SYM
ajst-26910	98	7	7	7	NUM
ajst-26910	98	8	-	-	SYM
ajst-26910	98	9	16	16	NUM
ajst-26910	98	10	.	.	PUNCT
ajst-26910	99	1	[	[	X
ajst-26910	99	2	2	2	NUM
ajst-26910	99	3	]	]	X
ajst-26910	99	4	liao	liao	PROPN
ajst-26910	99	5	s	s	PROPN
ajst-26910	99	6	,	,	PUNCT
ajst-26910	99	7	wang	wang	PROPN
ajst-26910	99	8	h	h	PROPN
ajst-26910	99	9	,	,	PUNCT
ajst-26910	99	10	liu	liu	PROPN
ajst-26910	99	11	b	b	PROPN
ajst-26910	99	12	,	,	PUNCT
ajst-26910	99	13	et	et	PROPN
ajst-26910	99	14	al	al	PROPN
ajst-26910	99	15	.	.	PROPN
ajst-26910	99	16	runoff	runoff	PROPN
ajst-26910	99	17	forecast	forecast	PROPN
ajst-26910	99	18	model	model	NOUN
ajst-26910	99	19	based	base	VERB
ajst-26910	99	20	on	on	ADP
ajst-26910	99	21	an	an	DET
ajst-26910	99	22	eemd	eemd	NOUN
ajst-26910	99	23	-	-	PROPN
ajst-26910	99	24	ann	ann	ADJ
ajst-26910	99	25	and	and	CCONJ
ajst-26910	99	26	meteorological	meteorological	ADJ
ajst-26910	99	27	factors	factor	NOUN
ajst-26910	99	28	using	use	VERB
ajst-26910	99	29	a	a	DET
ajst-26910	99	30	multicore	multicore	ADJ
ajst-26910	99	31	196	196	NUM
ajst-26910	99	32	parallel	parallel	ADJ
ajst-26910	99	33	algorithm[j	algorithm[j	PROPN
ajst-26910	99	34	]	]	PUNCT
ajst-26910	99	35	.	.	PUNCT
ajst-26910	100	1	water	water	NOUN
ajst-26910	100	2	resources	resource	NOUN
ajst-26910	100	3	management	management	NOUN
ajst-26910	100	4	,	,	PUNCT
ajst-26910	100	5	2023	2023	NUM
ajst-26910	100	6	,	,	PUNCT
ajst-26910	100	7	37:1539	37:1539	NOUN
ajst-26910	100	8	-	-	SYM
ajst-26910	100	9	1555	1555	NUM
ajst-26910	100	10	.	.	PUNCT
ajst-26910	101	1	[	[	X
ajst-26910	101	2	3	3	X
ajst-26910	101	3	]	]	X
ajst-26910	101	4	huang	huang	PROPN
ajst-26910	101	5	t	t	PROPN
ajst-26910	101	6	,	,	PUNCT
ajst-26910	101	7	jiao	jiao	PROPN
ajst-26910	101	8	f.	f.	PROPN
ajst-26910	101	9	study	study	PROPN
ajst-26910	101	10	on	on	ADP
ajst-26910	101	11	data	datum	NOUN
ajst-26910	101	12	transfer	transfer	NOUN
ajst-26910	101	13	in	in	ADP
ajst-26910	101	14	meteorological	meteorological	ADJ
ajst-26910	101	15	forecast	forecast	NOUN
ajst-26910	101	16	of	of	ADP
ajst-26910	101	17	small	small	ADJ
ajst-26910	101	18	and	and	CCONJ
ajst-26910	101	19	medium	medium	ADJ
ajst-26910	101	20	-	-	PUNCT
ajst-26910	101	21	sized	sized	ADJ
ajst-26910	101	22	cities	city	NOUN
ajst-26910	101	23	and	and	CCONJ
ajst-26910	101	24	its	its	PRON
ajst-26910	101	25	application	application	NOUN
ajst-26910	101	26	in	in	ADP
ajst-26910	101	27	zhaoqing	zhaoqing	NOUN
ajst-26910	101	28	city[j	city[j	NOUN
ajst-26910	101	29	]	]	PUNCT
ajst-26910	101	30	.	.	PUNCT
ajst-26910	102	1	the	the	DET
ajst-26910	102	2	computer	computer	NOUN
ajst-26910	102	3	journal	journal	NOUN
ajst-26910	102	4	,	,	PUNCT
ajst-26910	102	5	2020	2020	NUM
ajst-26910	102	6	,	,	PUNCT
ajst-26910	102	7	63(7	63(7	NUM
ajst-26910	102	8	):	):	PUNCT
ajst-26910	102	9	10761083	10761083	NUM
ajst-26910	102	10	.	.	PUNCT
ajst-26910	103	1	[	[	X
ajst-26910	103	2	4	4	X
ajst-26910	103	3	]	]	PUNCT
ajst-26910	103	4	zarei	zarei	NOUN
ajst-26910	103	5	a	a	DET
ajst-26910	103	6	r	r	NOUN
ajst-26910	103	7	,	,	PUNCT
ajst-26910	103	8	mahmoudi	mahmoudi	NOUN
ajst-26910	103	9	m	m	ADJ
ajst-26910	103	10	r	r	NOUN
ajst-26910	103	11	,	,	PUNCT
ajst-26910	103	12	pourbagheri	pourbagheri	ADJ
ajst-26910	103	13	a.	a.	PROPN
ajst-26910	103	14	meteorological	meteorological	PROPN
ajst-26910	103	15	drought	drought	PROPN
ajst-26910	103	16	prediction	prediction	NOUN
ajst-26910	103	17	based	base	VERB
ajst-26910	103	18	on	on	ADP
ajst-26910	103	19	evaluating	evaluate	VERB
ajst-26910	103	20	the	the	DET
ajst-26910	103	21	efficacy	efficacy	NOUN
ajst-26910	103	22	of	of	ADP
ajst-26910	103	23	several	several	ADJ
ajst-26910	103	24	prediction	prediction	NOUN
ajst-26910	103	25	models[j	models[j	PROPN
ajst-26910	103	26	]	]	PUNCT
ajst-26910	103	27	.	.	PUNCT
ajst-26910	104	1	water	water	NOUN
ajst-26910	104	2	resources	resource	NOUN
ajst-26910	104	3	management	management	NOUN
ajst-26910	104	4	,	,	PUNCT
ajst-26910	104	5	2024	2024	NUM
ajst-26910	104	6	,	,	PUNCT
ajst-26910	104	7	38(7):2601	38(7):2601	NUM
ajst-26910	104	8	-	-	SYM
ajst-26910	104	9	2625	2625	NUM
ajst-26910	104	10	.	.	PUNCT
ajst-26910	105	1	[	[	X
ajst-26910	105	2	5	5	X
ajst-26910	105	3	]	]	X
ajst-26910	105	4	gupta	gupta	X
ajst-26910	105	5	a	a	PRON
ajst-26910	105	6	,	,	PUNCT
ajst-26910	105	7	chug	chug	VERB
ajst-26910	105	8	a	a	DET
ajst-26910	105	9	,	,	PUNCT
ajst-26910	105	10	singh	singh	PROPN
ajst-26910	105	11	a	a	DET
ajst-26910	105	12	p.	p.	PROPN
ajst-26910	105	13	meteorological	meteorological	ADJ
ajst-26910	105	14	factor	factor	NOUN
ajst-26910	105	15	-	-	PUNCT
ajst-26910	105	16	based	base	VERB
ajst-26910	105	17	tomato	tomato	NOUN
ajst-26910	105	18	early	early	ADJ
ajst-26910	105	19	blight	blight	NOUN
ajst-26910	105	20	prediction	prediction	NOUN
ajst-26910	105	21	using	use	VERB
ajst-26910	105	22	hyperparameter	hyperparameter	NOUN
ajst-26910	105	23	tuning	tuning	NOUN
ajst-26910	105	24	of	of	ADP
ajst-26910	105	25	intelligent	intelligent	ADJ
ajst-26910	105	26	classifiers[j	classifiers[j	PROPN
ajst-26910	105	27	]	]	PUNCT
ajst-26910	105	28	.	.	PUNCT
ajst-26910	106	1	agricultural	agricultural	ADJ
ajst-26910	106	2	research	research	NOUN
ajst-26910	106	3	,	,	PUNCT
ajst-26910	106	4	2024	2024	NUM
ajst-26910	106	5	,	,	PUNCT
ajst-26910	106	6	13(2):232	13(2):232	NUM
ajst-26910	106	7	-	-	SYM
ajst-26910	106	8	242	242	NUM
ajst-26910	106	9	.	.	PUNCT
ajst-26910	107	1	[	[	X
ajst-26910	107	2	6	6	NUM
ajst-26910	107	3	]	]	X
ajst-26910	107	4	kimura	kimura	PROPN
ajst-26910	107	5	y.	y.	PROPN
ajst-26910	107	6	numerical	numerical	PROPN
ajst-26910	107	7	weather	weather	PROPN
ajst-26910	107	8	prediction	prediction	NOUN
ajst-26910	107	9	model	model	NOUN
ajst-26910	107	10	in	in	ADP
ajst-26910	107	11	japan	japan	PROPN
ajst-26910	107	12	meteorological	meteorological	PROPN
ajst-26910	107	13	agency[j	agency[j	PROPN
ajst-26910	107	14	]	]	X
ajst-26910	107	15	.	.	PUNCT
ajst-26910	108	1	the	the	DET
ajst-26910	108	2	journal	journal	NOUN
ajst-26910	108	3	of	of	ADP
ajst-26910	108	4	the	the	DET
ajst-26910	108	5	institute	institute	PROPN
ajst-26910	108	6	of	of	ADP
ajst-26910	108	7	electrical	electrical	ADJ
ajst-26910	108	8	engineers	engineer	NOUN
ajst-26910	108	9	of	of	ADP
ajst-26910	108	10	japan	japan	PROPN
ajst-26910	108	11	,	,	PUNCT
ajst-26910	108	12	2023	2023	NUM
ajst-26910	108	13	,	,	PUNCT
ajst-26910	108	14	143(5):267	143(5):267	NUM
ajst-26910	108	15	-	-	SYM
ajst-26910	108	16	270	270	NUM
ajst-26910	108	17	.	.	PUNCT
ajst-26910	109	1	[	[	X
ajst-26910	109	2	7	7	X
ajst-26910	109	3	]	]	X
ajst-26910	109	4	zhai	zhai	PROPN
ajst-26910	109	5	b	b	PROPN
ajst-26910	109	6	,	,	PUNCT
ajst-26910	109	7	wang	wang	PROPN
ajst-26910	109	8	y	y	PROPN
ajst-26910	109	9	,	,	PUNCT
ajst-26910	109	10	wu	wu	PROPN
ajst-26910	109	11	b.	b.	PROPN
ajst-26910	110	1	an	an	DET
ajst-26910	110	2	ensemble	ensemble	ADJ
ajst-26910	110	3	learning	learning	NOUN
ajst-26910	110	4	method	method	NOUN
ajst-26910	110	5	for	for	ADP
ajst-26910	110	6	low	low	ADJ
ajst-26910	110	7	visibility	visibility	NOUN
ajst-26910	110	8	prediction	prediction	NOUN
ajst-26910	110	9	on	on	ADP
ajst-26910	110	10	freeway	freeway	NOUN
ajst-26910	110	11	using	use	VERB
ajst-26910	110	12	meteorological	meteorological	ADJ
ajst-26910	110	13	data[j	data[j	NOUN
ajst-26910	110	14	]	]	PUNCT
ajst-26910	110	15	.	.	PUNCT
ajst-26910	111	1	iet	iet	PROPN
ajst-26910	111	2	intelligent	intelligent	ADJ
ajst-26910	111	3	transport	transport	NOUN
ajst-26910	111	4	systems	system	NOUN
ajst-26910	111	5	,	,	PUNCT
ajst-26910	111	6	2023	2023	NUM
ajst-26910	111	7	,	,	PUNCT
ajst-26910	111	8	17(11):2237	17(11):2237	NUM
ajst-26910	111	9	-	-	SYM
ajst-26910	111	10	2250	2250	NUM
ajst-26910	111	11	.	.	PUNCT
ajst-26910	112	1	[	[	X
ajst-26910	112	2	8	8	X
ajst-26910	112	3	]	]	X
ajst-26910	112	4	singh	singh	PROPN
ajst-26910	112	5	t	t	PROPN
ajst-26910	112	6	,	,	PUNCT
ajst-26910	112	7	uppaluri	uppaluri	PROPN
ajst-26910	112	8	r	r	PROPN
ajst-26910	112	9	v	v	ADP
ajst-26910	112	10	s.	s.	PROPN
ajst-26910	112	11	feed	feed	PROPN
ajst-26910	112	12	-	-	PUNCT
ajst-26910	112	13	forward	forward	NOUN
ajst-26910	112	14	ann	ann	PROPN
ajst-26910	112	15	and	and	CCONJ
ajst-26910	112	16	traditional	traditional	ADJ
ajst-26910	112	17	machine	machine	NOUN
ajst-26910	112	18	learning	learning	NOUN
ajst-26910	112	19	-	-	PUNCT
ajst-26910	112	20	based	base	VERB
ajst-26910	112	21	prediction	prediction	NOUN
ajst-26910	112	22	of	of	ADP
ajst-26910	112	23	biogas	biogas	NOUN
ajst-26910	112	24	generation	generation	NOUN
ajst-26910	112	25	rate	rate	NOUN
ajst-26910	112	26	from	from	ADP
ajst-26910	112	27	meteorological	meteorological	ADJ
ajst-26910	112	28	and	and	CCONJ
ajst-26910	112	29	organic	organic	ADJ
ajst-26910	112	30	waste	waste	NOUN
ajst-26910	112	31	parameters[j	parameters[j	PROPN
ajst-26910	112	32	]	]	PUNCT
ajst-26910	112	33	.	.	PUNCT
ajst-26910	113	1	journal	journal	PROPN
ajst-26910	113	2	of	of	ADP
ajst-26910	113	3	supercomputing	supercomputing	NOUN
ajst-26910	113	4	,	,	PUNCT
ajst-26910	113	5	2024	2024	NUM
ajst-26910	113	6	,	,	PUNCT
ajst-26910	113	7	80(2):2538	80(2):2538	NUM
ajst-26910	113	8	-	-	SYM
ajst-26910	113	9	2571	2571	NUM
ajst-26910	113	10	.	.	PUNCT
ajst-26910	114	1	[	[	X
ajst-26910	114	2	9	9	NUM
ajst-26910	114	3	]	]	X
ajst-26910	114	4	cho	cho	PROPN
ajst-26910	114	5	s	s	PROPN
ajst-26910	114	6	,	,	PUNCT
ajst-26910	114	7	youn	youn	PROPN
ajst-26910	114	8	y	y	PROPN
ajst-26910	114	9	,	,	PUNCT
ajst-26910	114	10	kim	kim	PROPN
ajst-26910	114	11	s	s	PROPN
ajst-26910	114	12	,	,	PUNCT
ajst-26910	114	13	et	et	PROPN
ajst-26910	114	14	al	al	PROPN
ajst-26910	114	15	.	.	PUNCT
ajst-26910	115	1	a	a	DET
ajst-26910	115	2	comparative	comparative	ADJ
ajst-26910	115	3	evaluation	evaluation	NOUN
ajst-26910	115	4	of	of	ADP
ajst-26910	115	5	multiple	multiple	ADJ
ajst-26910	115	6	meteorological	meteorological	ADJ
ajst-26910	115	7	datasets	dataset	NOUN
ajst-26910	115	8	for	for	ADP
ajst-26910	115	9	the	the	DET
ajst-26910	115	10	rice	rice	NOUN
ajst-26910	115	11	yield	yield	NOUN
ajst-26910	115	12	prediction	prediction	NOUN
ajst-26910	115	13	at	at	ADP
ajst-26910	115	14	the	the	DET
ajst-26910	115	15	county	county	NOUN
ajst-26910	115	16	level	level	NOUN
ajst-26910	115	17	in	in	ADP
ajst-26910	115	18	south	south	PROPN
ajst-26910	115	19	korea[j	korea[j	PROPN
ajst-26910	115	20	]	]	PUNCT
ajst-26910	115	21	.	.	PUNCT
ajst-26910	116	1	journal	journal	PROPN
ajst-26910	116	2	of	of	ADP
ajst-26910	116	3	remote	remote	ADJ
ajst-26910	116	4	sensing	sensing	NOUN
ajst-26910	116	5	,	,	PUNCT
ajst-26910	116	6	2021	2021	NUM
ajst-26910	116	7	,	,	PUNCT
ajst-26910	116	8	37:337	37:337	NUM
ajst-26910	116	9	-	-	SYM
ajst-26910	116	10	357	357	NUM
ajst-26910	116	11	.	.	PUNCT
ajst-26910	117	1	[	[	X
ajst-26910	117	2	10	10	NUM
ajst-26910	117	3	]	]	X
ajst-26910	117	4	wen	wen	PROPN
ajst-26910	117	5	h	h	PROPN
ajst-26910	117	6	,	,	PUNCT
ajst-26910	117	7	dang	dang	INTJ
ajst-26910	117	8	y	y	PROPN
ajst-26910	117	9	,	,	PUNCT
ajst-26910	117	10	li	li	PROPN
ajst-26910	117	11	l.	l.	PROPN
ajst-26910	117	12	short	short	ADJ
ajst-26910	117	13	-	-	PUNCT
ajst-26910	117	14	term	term	NOUN
ajst-26910	117	15	pm2	pm2	NOUN
ajst-26910	117	16	.	.	PUNCT
ajst-26910	118	1	5	5	NUM
ajst-26910	118	2	concentration	concentration	NOUN
ajst-26910	118	3	prediction	prediction	NOUN
ajst-26910	118	4	by	by	ADP
ajst-26910	118	5	combining	combine	VERB
ajst-26910	118	6	gnss	gnss	NOUN
ajst-26910	118	7	and	and	CCONJ
ajst-26910	118	8	meteorological	meteorological	ADJ
ajst-26910	118	9	factors[j	factors[j	PROPN
ajst-26910	118	10	]	]	PUNCT
ajst-26910	118	11	.	.	PUNCT
ajst-26910	119	1	ieee	ieee	NOUN
ajst-26910	119	2	access	access	NOUN
ajst-26910	119	3	,	,	PUNCT
ajst-26910	119	4	2020	2020	NUM
ajst-26910	119	5	,	,	PUNCT
ajst-26910	119	6	8	8	NUM
ajst-26910	119	7	:	:	SYM
ajst-26910	119	8	115202	115202	NUM
ajst-26910	119	9	-	-	SYM
ajst-26910	119	10	115216	115216	NUM
ajst-26910	119	11	.	.	PUNCT
ajst-26910	120	1	[	[	X
ajst-26910	120	2	11	11	NUM
ajst-26910	120	3	]	]	X
ajst-26910	120	4	liang	liang	PROPN
ajst-26910	120	5	h	h	PROPN
ajst-26910	120	6	,	,	PUNCT
ajst-26910	120	7	zhang	zhang	PROPN
ajst-26910	120	8	m	m	PROPN
ajst-26910	120	9	,	,	PUNCT
ajst-26910	120	10	wang	wang	PROPN
ajst-26910	120	11	h.	h.	PROPN
ajst-26910	120	12	a	a	DET
ajst-26910	120	13	neural	neural	ADJ
ajst-26910	120	14	network	network	NOUN
ajst-26910	120	15	model	model	NOUN
ajst-26910	120	16	for	for	ADP
ajst-26910	120	17	wildfire	wildfire	NOUN
ajst-26910	120	18	scale	scale	NOUN
ajst-26910	120	19	prediction	prediction	NOUN
ajst-26910	120	20	using	use	VERB
ajst-26910	120	21	meteorological	meteorological	ADJ
ajst-26910	120	22	factors[j	factors[j	PROPN
ajst-26910	120	23	]	]	PUNCT
ajst-26910	120	24	.	.	PUNCT
ajst-26910	121	1	ieee	ieee	NOUN
ajst-26910	121	2	access	access	NOUN
ajst-26910	121	3	,	,	PUNCT
ajst-26910	121	4	2019	2019	NUM
ajst-26910	121	5	,	,	PUNCT
ajst-26910	121	6	7	7	NUM
ajst-26910	121	7	:	:	SYM
ajst-26910	121	8	176746	176746	NUM
ajst-26910	121	9	-	-	SYM
ajst-26910	121	10	176755	176755	NUM
ajst-26910	121	11	.	.	PUNCT