id	sid	tid	token	lemma	pos
ajst-10325	1	1	academic	academic	ADJ
ajst-10325	1	2	journal	journal	NOUN
ajst-10325	1	3	of	of	ADP
ajst-10325	1	4	science	science	NOUN
ajst-10325	1	5	and	and	CCONJ
ajst-10325	1	6	technology	technology	NOUN
ajst-10325	1	7	issn	issn	NOUN
ajst-10325	1	8	:	:	PUNCT
ajst-10325	1	9	2771	2771	NUM
ajst-10325	1	10	-	-	SYM
ajst-10325	1	11	3032	3032	NUM
ajst-10325	1	12	|	|	NOUN
ajst-10325	1	13	vol	vol	NOUN
ajst-10325	1	14	.	.	PROPN
ajst-10325	2	1	6	6	NUM
ajst-10325	2	2	,	,	PUNCT
ajst-10325	2	3	no	no	INTJ
ajst-10325	2	4	.	.	NOUN
ajst-10325	2	5	3	3	NUM
ajst-10325	2	6	,	,	PUNCT
ajst-10325	2	7	2023	2023	NUM
ajst-10325	2	8	54	54	NUM
ajst-10325	2	9	research	research	NOUN
ajst-10325	2	10	on	on	ADP
ajst-10325	2	11	temperature	temperature	NOUN
ajst-10325	2	12	prediction	prediction	NOUN
ajst-10325	2	13	based	base	VERB
ajst-10325	2	14	on	on	ADP
ajst-10325	2	15	lstm	lstm	PROPN
ajst-10325	2	16	tianci	tianci	PROPN
ajst-10325	2	17	liu1	liu1	PROPN
ajst-10325	2	18	,	,	PUNCT
ajst-10325	2	19	xiangjun	xiangjun	PROPN
ajst-10325	2	20	li2	li2	PROPN
ajst-10325	2	21	,	,	PUNCT
ajst-10325	2	22	*	*	SYM
ajst-10325	2	23	1	1	NUM
ajst-10325	2	24	computer	computer	NOUN
ajst-10325	2	25	science	science	NOUN
ajst-10325	2	26	college	college	PROPN
ajst-10325	2	27	of	of	ADP
ajst-10325	2	28	yangtze	yangtze	PROPN
ajst-10325	2	29	university	university	PROPN
ajst-10325	2	30	,	,	PUNCT
ajst-10325	2	31	jingzhou	jingzhou	ADV
ajst-10325	2	32	,	,	PUNCT
ajst-10325	2	33	434023	434023	NUM
ajst-10325	2	34	,	,	PUNCT
ajst-10325	2	35	hubei	hubei	PROPN
ajst-10325	2	36	,	,	PUNCT
ajst-10325	2	37	china	china	PROPN
ajst-10325	2	38	2	2	NUM
ajst-10325	2	39	jingzhou	jingzhou	PROPN
ajst-10325	2	40	vocational	vocational	ADJ
ajst-10325	2	41	college	college	PROPN
ajst-10325	2	42	of	of	ADP
ajst-10325	2	43	technology	technology	PROPN
ajst-10325	2	44	institute	institute	PROPN
ajst-10325	2	45	of	of	ADP
ajst-10325	2	46	software	software	PROPN
ajst-10325	2	47	engineering	engineering	PROPN
ajst-10325	2	48	,	,	PUNCT
ajst-10325	2	49	jingzhou	jingzhou	ADV
ajst-10325	2	50	,	,	PUNCT
ajst-10325	2	51	434023	434023	NUM
ajst-10325	2	52	,	,	PUNCT
ajst-10325	2	53	hubei	hubei	PROPN
ajst-10325	2	54	,	,	PUNCT
ajst-10325	2	55	china	china	PROPN
ajst-10325	2	56	*	*	PUNCT
ajst-10325	2	57	corresponding	correspond	VERB
ajst-10325	2	58	author	author	NOUN
ajst-10325	2	59	:	:	PUNCT
ajst-10325	2	60	xiangjun	xiangjun	PROPN
ajst-10325	2	61	li	li	PROPN
ajst-10325	3	1	(	(	PUNCT
ajst-10325	3	2	email	email	NOUN
ajst-10325	3	3	:	:	PUNCT
ajst-10325	3	4	1007472895@qq.com	1007472895@qq.com	NUM
ajst-10325	3	5	)	)	PUNCT
ajst-10325	3	6	abstract	abstract	NOUN
ajst-10325	3	7	:	:	PUNCT
ajst-10325	3	8	temperature	temperature	NOUN
ajst-10325	3	9	change	change	NOUN
ajst-10325	3	10	has	have	VERB
ajst-10325	3	11	an	an	DET
ajst-10325	3	12	important	important	ADJ
ajst-10325	3	13	influence	influence	NOUN
ajst-10325	3	14	on	on	ADP
ajst-10325	3	15	human	human	ADJ
ajst-10325	3	16	health	health	NOUN
ajst-10325	3	17	and	and	CCONJ
ajst-10325	3	18	the	the	DET
ajst-10325	3	19	development	development	NOUN
ajst-10325	3	20	of	of	ADP
ajst-10325	3	21	all	all	DET
ajst-10325	3	22	walks	walk	NOUN
ajst-10325	3	23	of	of	ADP
ajst-10325	3	24	life	life	NOUN
ajst-10325	3	25	,	,	PUNCT
ajst-10325	3	26	so	so	ADV
ajst-10325	3	27	accurate	accurate	ADJ
ajst-10325	3	28	temperature	temperature	NOUN
ajst-10325	3	29	forecast	forecast	NOUN
ajst-10325	3	30	is	be	AUX
ajst-10325	3	31	becoming	become	VERB
ajst-10325	3	32	more	more	ADV
ajst-10325	3	33	and	and	CCONJ
ajst-10325	3	34	more	more	ADV
ajst-10325	3	35	important	important	ADJ
ajst-10325	3	36	.	.	PUNCT
ajst-10325	4	1	with	with	ADP
ajst-10325	4	2	the	the	DET
ajst-10325	4	3	dramatic	dramatic	ADJ
ajst-10325	4	4	increase	increase	NOUN
ajst-10325	4	5	in	in	ADP
ajst-10325	4	6	the	the	DET
ajst-10325	4	7	scale	scale	NOUN
ajst-10325	4	8	and	and	CCONJ
ajst-10325	4	9	dimension	dimension	NOUN
ajst-10325	4	10	of	of	ADP
ajst-10325	4	11	meteorological	meteorological	ADJ
ajst-10325	4	12	data	datum	NOUN
ajst-10325	4	13	,	,	PUNCT
ajst-10325	4	14	it	it	PRON
ajst-10325	4	15	poses	pose	VERB
ajst-10325	4	16	a	a	DET
ajst-10325	4	17	new	new	ADJ
ajst-10325	4	18	challenge	challenge	NOUN
ajst-10325	4	19	to	to	ADP
ajst-10325	4	20	temperature	temperature	NOUN
ajst-10325	4	21	prediction	prediction	NOUN
ajst-10325	4	22	.	.	PUNCT
ajst-10325	5	1	in	in	ADP
ajst-10325	5	2	the	the	DET
ajst-10325	5	3	era	era	NOUN
ajst-10325	5	4	of	of	ADP
ajst-10325	5	5	big	big	ADJ
ajst-10325	5	6	data	datum	NOUN
ajst-10325	5	7	,	,	PUNCT
ajst-10325	5	8	traditional	traditional	ADJ
ajst-10325	5	9	time	time	NOUN
ajst-10325	5	10	series	series	PROPN
ajst-10325	5	11	forecasting	forecasting	NOUN
ajst-10325	5	12	methods	method	NOUN
ajst-10325	5	13	have	have	AUX
ajst-10325	5	14	been	be	AUX
ajst-10325	5	15	difficult	difficult	ADJ
ajst-10325	5	16	to	to	PART
ajst-10325	5	17	deal	deal	VERB
ajst-10325	5	18	with	with	ADP
ajst-10325	5	19	massive	massive	ADJ
ajst-10325	5	20	meteorological	meteorological	ADJ
ajst-10325	5	21	data	datum	NOUN
ajst-10325	5	22	.	.	PUNCT
ajst-10325	6	1	temperature	temperature	NOUN
ajst-10325	6	2	data	datum	NOUN
ajst-10325	6	3	is	be	AUX
ajst-10325	6	4	a	a	DET
ajst-10325	6	5	kind	kind	NOUN
ajst-10325	6	6	of	of	ADP
ajst-10325	6	7	time	time	NOUN
ajst-10325	6	8	series	series	PROPN
ajst-10325	6	9	data	datum	NOUN
ajst-10325	6	10	with	with	ADP
ajst-10325	6	11	obvious	obvious	ADJ
ajst-10325	6	12	non	non	ADJ
ajst-10325	6	13	-	-	ADJ
ajst-10325	6	14	stationary	stationary	ADJ
ajst-10325	6	15	fluctuation	fluctuation	NOUN
ajst-10325	6	16	characteristics	characteristic	NOUN
ajst-10325	6	17	.	.	PUNCT
ajst-10325	7	1	modeling	model	VERB
ajst-10325	7	2	the	the	DET
ajst-10325	7	3	temperature	temperature	NOUN
ajst-10325	7	4	data	datum	NOUN
ajst-10325	7	5	can	can	AUX
ajst-10325	7	6	analyze	analyze	VERB
ajst-10325	7	7	the	the	DET
ajst-10325	7	8	temperature	temperature	NOUN
ajst-10325	7	9	change	change	NOUN
ajst-10325	7	10	.	.	PUNCT
ajst-10325	8	1	aiming	aim	VERB
ajst-10325	8	2	at	at	ADP
ajst-10325	8	3	the	the	DET
ajst-10325	8	4	problem	problem	NOUN
ajst-10325	8	5	that	that	SCONJ
ajst-10325	8	6	the	the	DET
ajst-10325	8	7	prediction	prediction	NOUN
ajst-10325	8	8	accuracy	accuracy	NOUN
ajst-10325	8	9	of	of	ADP
ajst-10325	8	10	time	time	NOUN
ajst-10325	8	11	series	series	PROPN
ajst-10325	8	12	model	model	NOUN
ajst-10325	8	13	is	be	AUX
ajst-10325	8	14	not	not	PART
ajst-10325	8	15	high	high	ADJ
ajst-10325	8	16	,	,	PUNCT
ajst-10325	8	17	this	this	DET
ajst-10325	8	18	paper	paper	NOUN
ajst-10325	8	19	proposes	propose	VERB
ajst-10325	8	20	to	to	PART
ajst-10325	8	21	build	build	VERB
ajst-10325	8	22	a	a	DET
ajst-10325	8	23	temperature	temperature	NOUN
ajst-10325	8	24	prediction	prediction	NOUN
ajst-10325	8	25	model	model	NOUN
ajst-10325	8	26	based	base	VERB
ajst-10325	8	27	on	on	ADP
ajst-10325	8	28	long	long	ADJ
ajst-10325	8	29	-	-	PUNCT
ajst-10325	8	30	term	term	NOUN
ajst-10325	8	31	and	and	CCONJ
ajst-10325	8	32	short	short	ADJ
ajst-10325	8	33	-	-	PUNCT
ajst-10325	8	34	term	term	NOUN
ajst-10325	8	35	memory	memory	NOUN
ajst-10325	8	36	network	network	NOUN
ajst-10325	8	37	lstm	lstm	PROPN
ajst-10325	8	38	deep	deep	ADJ
ajst-10325	8	39	learning	learning	NOUN
ajst-10325	8	40	network	network	NOUN
ajst-10325	8	41	,	,	PUNCT
ajst-10325	8	42	and	and	CCONJ
ajst-10325	8	43	divide	divide	VERB
ajst-10325	8	44	the	the	DET
ajst-10325	8	45	training	training	NOUN
ajst-10325	8	46	set	set	NOUN
ajst-10325	8	47	prediction	prediction	NOUN
ajst-10325	8	48	set	set	VERB
ajst-10325	8	49	with	with	ADP
ajst-10325	8	50	jena	jena	PROPN
ajst-10325	8	51	climate	climate	PROPN
ajst-10325	8	52	data	datum	NOUN
ajst-10325	8	53	set	set	VERB
ajst-10325	8	54	to	to	PART
ajst-10325	8	55	evaluate	evaluate	VERB
ajst-10325	8	56	the	the	DET
ajst-10325	8	57	accuracy	accuracy	NOUN
ajst-10325	8	58	of	of	ADP
ajst-10325	8	59	the	the	DET
ajst-10325	8	60	model	model	NOUN
ajst-10325	8	61	.	.	PUNCT
ajst-10325	9	1	the	the	DET
ajst-10325	9	2	experimental	experimental	ADJ
ajst-10325	9	3	results	result	NOUN
ajst-10325	9	4	show	show	VERB
ajst-10325	9	5	that	that	SCONJ
ajst-10325	9	6	the	the	DET
ajst-10325	9	7	long	long	ADJ
ajst-10325	9	8	-	-	PUNCT
ajst-10325	9	9	term	term	NOUN
ajst-10325	9	10	memory	memory	NOUN
ajst-10325	9	11	network	network	NOUN
ajst-10325	9	12	lstm	lstm	PROPN
ajst-10325	9	13	deep	deep	ADJ
ajst-10325	9	14	learning	learning	NOUN
ajst-10325	9	15	network	network	NOUN
ajst-10325	9	16	performs	perform	VERB
ajst-10325	9	17	well	well	ADV
ajst-10325	9	18	in	in	ADP
ajst-10325	9	19	the	the	DET
ajst-10325	9	20	temperature	temperature	NOUN
ajst-10325	9	21	prediction	prediction	NOUN
ajst-10325	9	22	model	model	NOUN
ajst-10325	9	23	.	.	PUNCT
ajst-10325	10	1	keywords	keyword	NOUN
ajst-10325	10	2	:	:	PUNCT
ajst-10325	10	3	lstm	lstm	ADJ
ajst-10325	10	4	,	,	PUNCT
ajst-10325	10	5	temperature	temperature	NOUN
ajst-10325	10	6	prediction	prediction	NOUN
ajst-10325	10	7	.	.	PUNCT
ajst-10325	11	1	1	1	X
ajst-10325	11	2	.	.	X
ajst-10325	11	3	introduction	introduction	NOUN
ajst-10325	11	4	for	for	ADP
ajst-10325	11	5	a	a	DET
ajst-10325	11	6	long	long	ADJ
ajst-10325	11	7	time	time	NOUN
ajst-10325	11	8	,	,	PUNCT
ajst-10325	11	9	temperature	temperature	NOUN
ajst-10325	11	10	changes	change	NOUN
ajst-10325	11	11	have	have	VERB
ajst-10325	11	12	an	an	DET
ajst-10325	11	13	important	important	ADJ
ajst-10325	11	14	influence	influence	NOUN
ajst-10325	11	15	on	on	ADP
ajst-10325	11	16	human	human	ADJ
ajst-10325	11	17	daily	daily	ADJ
ajst-10325	11	18	life	life	NOUN
ajst-10325	11	19	and	and	CCONJ
ajst-10325	11	20	the	the	DET
ajst-10325	11	21	development	development	NOUN
ajst-10325	11	22	of	of	ADP
ajst-10325	11	23	all	all	DET
ajst-10325	11	24	walks	walk	NOUN
ajst-10325	11	25	of	of	ADP
ajst-10325	11	26	life	life	NOUN
ajst-10325	11	27	.	.	PUNCT
ajst-10325	12	1	on	on	ADP
ajst-10325	12	2	the	the	DET
ajst-10325	12	3	one	one	NUM
ajst-10325	12	4	hand	hand	NOUN
ajst-10325	12	5	,	,	PUNCT
ajst-10325	12	6	the	the	DET
ajst-10325	12	7	change	change	NOUN
ajst-10325	12	8	of	of	ADP
ajst-10325	12	9	temperature	temperature	NOUN
ajst-10325	12	10	will	will	AUX
ajst-10325	12	11	affect	affect	VERB
ajst-10325	12	12	people	people	NOUN
ajst-10325	12	13	's	's	PART
ajst-10325	12	14	daily	daily	ADJ
ajst-10325	12	15	life	life	NOUN
ajst-10325	12	16	.	.	PUNCT
ajst-10325	13	1	people	people	NOUN
ajst-10325	13	2	can	can	AUX
ajst-10325	13	3	know	know	VERB
ajst-10325	13	4	the	the	DET
ajst-10325	13	5	future	future	ADJ
ajst-10325	13	6	weather	weather	NOUN
ajst-10325	13	7	in	in	ADP
ajst-10325	13	8	advance	advance	NOUN
ajst-10325	13	9	through	through	ADP
ajst-10325	13	10	weather	weather	NOUN
ajst-10325	13	11	forecast	forecast	NOUN
ajst-10325	13	12	,	,	PUNCT
ajst-10325	13	13	and	and	CCONJ
ajst-10325	13	14	plan	plan	VERB
ajst-10325	13	15	clothes	clothe	NOUN
ajst-10325	13	16	,	,	PUNCT
ajst-10325	13	17	travel	travel	NOUN
ajst-10325	13	18	and	and	CCONJ
ajst-10325	13	19	other	other	ADJ
ajst-10325	13	20	activities	activity	NOUN
ajst-10325	13	21	.	.	PUNCT
ajst-10325	14	1	on	on	ADP
ajst-10325	14	2	the	the	DET
ajst-10325	14	3	other	other	ADJ
ajst-10325	14	4	hand	hand	NOUN
ajst-10325	14	5	,	,	PUNCT
ajst-10325	14	6	the	the	DET
ajst-10325	14	7	change	change	NOUN
ajst-10325	14	8	of	of	ADP
ajst-10325	14	9	temperature	temperature	NOUN
ajst-10325	14	10	also	also	ADV
ajst-10325	14	11	affects	affect	VERB
ajst-10325	14	12	the	the	DET
ajst-10325	14	13	development	development	NOUN
ajst-10325	14	14	of	of	ADP
ajst-10325	14	15	agricultural	agricultural	ADJ
ajst-10325	14	16	production	production	NOUN
ajst-10325	14	17	,	,	PUNCT
ajst-10325	14	18	social	social	ADJ
ajst-10325	14	19	industry	industry	NOUN
ajst-10325	14	20	,	,	PUNCT
ajst-10325	14	21	manufacturing	manufacturing	NOUN
ajst-10325	14	22	and	and	CCONJ
ajst-10325	14	23	other	other	ADJ
ajst-10325	14	24	industries	industry	NOUN
ajst-10325	14	25	.	.	PUNCT
ajst-10325	15	1	therefore	therefore	ADV
ajst-10325	15	2	,	,	PUNCT
ajst-10325	15	3	the	the	DET
ajst-10325	15	4	prediction	prediction	NOUN
ajst-10325	15	5	of	of	ADP
ajst-10325	15	6	temperature	temperature	NOUN
ajst-10325	15	7	change	change	NOUN
ajst-10325	15	8	has	have	AUX
ajst-10325	15	9	always	always	ADV
ajst-10325	15	10	been	be	AUX
ajst-10325	15	11	a	a	DET
ajst-10325	15	12	research	research	NOUN
ajst-10325	15	13	hotspot	hotspot	NOUN
ajst-10325	15	14	in	in	ADP
ajst-10325	15	15	the	the	DET
ajst-10325	15	16	field	field	NOUN
ajst-10325	15	17	of	of	ADP
ajst-10325	15	18	meteorology	meteorology	NOUN
ajst-10325	15	19	,	,	PUNCT
ajst-10325	15	20	but	but	CCONJ
ajst-10325	15	21	accurately	accurately	ADV
ajst-10325	15	22	predicting	predict	VERB
ajst-10325	15	23	the	the	DET
ajst-10325	15	24	future	future	ADJ
ajst-10325	15	25	temperature	temperature	NOUN
ajst-10325	15	26	change	change	NOUN
ajst-10325	15	27	has	have	AUX
ajst-10325	15	28	always	always	ADV
ajst-10325	15	29	been	be	AUX
ajst-10325	15	30	a	a	DET
ajst-10325	15	31	major	major	ADJ
ajst-10325	15	32	difficulty	difficulty	NOUN
ajst-10325	15	33	in	in	ADP
ajst-10325	15	34	the	the	DET
ajst-10325	15	35	field	field	NOUN
ajst-10325	15	36	of	of	ADP
ajst-10325	15	37	meteorological	meteorological	ADJ
ajst-10325	15	38	science	science	NOUN
ajst-10325	15	39	research	research	NOUN
ajst-10325	15	40	.	.	PUNCT
ajst-10325	16	1	the	the	DET
ajst-10325	16	2	temperature	temperature	NOUN
ajst-10325	16	3	change	change	NOUN
ajst-10325	16	4	is	be	AUX
ajst-10325	16	5	a	a	DET
ajst-10325	16	6	very	very	ADV
ajst-10325	16	7	complicated	complicated	ADJ
ajst-10325	16	8	process	process	NOUN
ajst-10325	16	9	.	.	PUNCT
ajst-10325	17	1	the	the	DET
ajst-10325	17	2	temperature	temperature	NOUN
ajst-10325	17	3	change	change	NOUN
ajst-10325	17	4	at	at	ADP
ajst-10325	17	5	the	the	DET
ajst-10325	17	6	same	same	ADJ
ajst-10325	17	7	time	time	NOUN
ajst-10325	17	8	is	be	AUX
ajst-10325	17	9	influenced	influence	VERB
ajst-10325	17	10	by	by	ADP
ajst-10325	17	11	various	various	ADJ
ajst-10325	17	12	factors	factor	NOUN
ajst-10325	17	13	,	,	PUNCT
ajst-10325	17	14	such	such	ADJ
ajst-10325	17	15	as	as	ADP
ajst-10325	17	16	humidity	humidity	NOUN
ajst-10325	17	17	,	,	PUNCT
ajst-10325	17	18	time	time	NOUN
ajst-10325	17	19	,	,	PUNCT
ajst-10325	17	20	maximum	maximum	ADJ
ajst-10325	17	21	wind	wind	NOUN
ajst-10325	17	22	speed	speed	NOUN
ajst-10325	17	23	,	,	PUNCT
ajst-10325	17	24	maximum	maximum	ADJ
ajst-10325	17	25	temperature	temperature	NOUN
ajst-10325	17	26	,	,	PUNCT
ajst-10325	17	27	air	air	NOUN
ajst-10325	17	28	pressure	pressure	NOUN
ajst-10325	17	29	and	and	CCONJ
ajst-10325	17	30	time	time	NOUN
ajst-10325	17	31	attributes	attribute	NOUN
ajst-10325	17	32	.	.	PUNCT
ajst-10325	18	1	only	only	ADV
ajst-10325	18	2	by	by	ADP
ajst-10325	18	3	fully	fully	ADV
ajst-10325	18	4	considering	consider	VERB
ajst-10325	18	5	various	various	ADJ
ajst-10325	18	6	influencing	influence	VERB
ajst-10325	18	7	factors	factor	NOUN
ajst-10325	18	8	can	can	AUX
ajst-10325	18	9	the	the	DET
ajst-10325	18	10	temperature	temperature	NOUN
ajst-10325	18	11	be	be	AUX
ajst-10325	18	12	predicted	predict	VERB
ajst-10325	18	13	more	more	ADV
ajst-10325	18	14	accurately	accurately	ADV
ajst-10325	18	15	,	,	PUNCT
ajst-10325	18	16	and	and	CCONJ
ajst-10325	18	17	then	then	ADV
ajst-10325	18	18	the	the	DET
ajst-10325	18	19	temperature	temperature	NOUN
ajst-10325	18	20	prediction	prediction	NOUN
ajst-10325	18	21	effect	effect	NOUN
ajst-10325	18	22	can	can	AUX
ajst-10325	18	23	be	be	AUX
ajst-10325	18	24	achieved	achieve	VERB
ajst-10325	18	25	.	.	PUNCT
ajst-10325	19	1	scholars	scholar	NOUN
ajst-10325	19	2	at	at	ADP
ajst-10325	19	3	home	home	ADV
ajst-10325	19	4	and	and	CCONJ
ajst-10325	19	5	abroad	abroad	ADV
ajst-10325	19	6	have	have	AUX
ajst-10325	19	7	done	do	VERB
ajst-10325	19	8	a	a	DET
ajst-10325	19	9	lot	lot	NOUN
ajst-10325	19	10	of	of	ADP
ajst-10325	19	11	research	research	NOUN
ajst-10325	19	12	on	on	ADP
ajst-10325	19	13	temperature	temperature	NOUN
ajst-10325	19	14	prediction	prediction	NOUN
ajst-10325	19	15	,	,	PUNCT
ajst-10325	19	16	including	include	VERB
ajst-10325	19	17	:	:	PUNCT
ajst-10325	19	18	research	research	NOUN
ajst-10325	19	19	on	on	ADP
ajst-10325	19	20	temperature	temperature	NOUN
ajst-10325	19	21	prediction	prediction	NOUN
ajst-10325	19	22	model	model	NOUN
ajst-10325	19	23	based	base	VERB
ajst-10325	19	24	on	on	ADP
ajst-10325	19	25	support	support	NOUN
ajst-10325	19	26	vector	vector	NOUN
ajst-10325	19	27	machine	machine	NOUN
ajst-10325	19	28	in	in	ADP
ajst-10325	19	29	dehai	dehai	NOUN
ajst-10325	19	30	south	south	NOUN
ajst-10325	20	1	[	[	X
ajst-10325	20	2	1	1	NUM
ajst-10325	20	3	]	]	PUNCT
ajst-10325	20	4	,	,	PUNCT
ajst-10325	20	5	temperature	temperature	NOUN
ajst-10325	20	6	prediction	prediction	NOUN
ajst-10325	20	7	based	base	VERB
ajst-10325	20	8	on	on	ADP
ajst-10325	20	9	decision	decision	NOUN
ajst-10325	20	10	tree	tree	NOUN
ajst-10325	20	11	combined	combine	VERB
ajst-10325	20	12	classifier[2	classifier[2	NOUN
ajst-10325	20	13	]	]	PUNCT
ajst-10325	20	14	,	,	PUNCT
ajst-10325	20	15	and	and	CCONJ
ajst-10325	20	16	temperature	temperature	NOUN
ajst-10325	20	17	prediction	prediction	NOUN
ajst-10325	20	18	model	model	NOUN
ajst-10325	20	19	based	base	VERB
ajst-10325	20	20	on	on	ADP
ajst-10325	20	21	rbf	rbf	PROPN
ajst-10325	20	22	neural	neural	ADJ
ajst-10325	20	23	network	network	NOUN
ajst-10325	20	24	in	in	ADP
ajst-10325	20	25	adjacent	adjacent	ADJ
ajst-10325	20	26	space[3	space[3	NOUN
ajst-10325	20	27	]	]	PUNCT
ajst-10325	20	28	.	.	PUNCT
ajst-10325	21	1	the	the	DET
ajst-10325	21	2	time	time	NOUN
ajst-10325	21	3	series	series	PROPN
ajst-10325	21	4	dependence	dependence	NOUN
ajst-10325	21	5	in	in	ADP
ajst-10325	21	6	temperature	temperature	NOUN
ajst-10325	21	7	prediction	prediction	NOUN
ajst-10325	21	8	is	be	AUX
ajst-10325	21	9	ignored	ignore	VERB
ajst-10325	21	10	in	in	ADP
ajst-10325	21	11	the	the	DET
ajst-10325	21	12	above	above	ADJ
ajst-10325	21	13	methods	method	NOUN
ajst-10325	21	14	.	.	PUNCT
ajst-10325	22	1	long	long	ADJ
ajst-10325	22	2	-	-	PUNCT
ajst-10325	22	3	term	term	NOUN
ajst-10325	22	4	and	and	CCONJ
ajst-10325	22	5	short	short	ADJ
ajst-10325	22	6	-	-	PUNCT
ajst-10325	22	7	term	term	NOUN
ajst-10325	22	8	memory	memory	NOUN
ajst-10325	22	9	network	network	NOUN
ajst-10325	22	10	lstm	lstm	NOUN
ajst-10325	22	11	is	be	AUX
ajst-10325	22	12	a	a	DET
ajst-10325	22	13	kind	kind	NOUN
ajst-10325	22	14	of	of	ADP
ajst-10325	22	15	time	time	NOUN
ajst-10325	22	16	recursive	recursive	ADJ
ajst-10325	22	17	neural	neural	ADJ
ajst-10325	22	18	network	network	NOUN
ajst-10325	22	19	,	,	PUNCT
ajst-10325	22	20	which	which	PRON
ajst-10325	22	21	can	can	AUX
ajst-10325	22	22	better	well	ADV
ajst-10325	22	23	fit	fit	VERB
ajst-10325	22	24	the	the	DET
ajst-10325	22	25	nonlinear	nonlinear	ADJ
ajst-10325	22	26	relationship	relationship	NOUN
ajst-10325	22	27	,	,	PUNCT
ajst-10325	22	28	and	and	CCONJ
ajst-10325	22	29	can	can	AUX
ajst-10325	22	30	not	not	PART
ajst-10325	22	31	only	only	ADV
ajst-10325	22	32	solve	solve	VERB
ajst-10325	22	33	the	the	DET
ajst-10325	22	34	problem	problem	NOUN
ajst-10325	22	35	that	that	PRON
ajst-10325	22	36	only	only	ADV
ajst-10325	22	37	fixed	fix	VERB
ajst-10325	22	38	-	-	PUNCT
ajst-10325	22	39	length	length	NOUN
ajst-10325	22	40	data	datum	NOUN
ajst-10325	22	41	series	series	NOUN
ajst-10325	22	42	can	can	AUX
ajst-10325	22	43	be	be	AUX
ajst-10325	22	44	used	use	VERB
ajst-10325	22	45	for	for	ADP
ajst-10325	22	46	prediction	prediction	NOUN
ajst-10325	22	47	in	in	ADP
ajst-10325	22	48	feedforward	feedforward	NOUN
ajst-10325	22	49	networks	network	NOUN
ajst-10325	22	50	,	,	PUNCT
ajst-10325	22	51	but	but	CCONJ
ajst-10325	22	52	also	also	ADV
ajst-10325	22	53	solve	solve	VERB
ajst-10325	22	54	the	the	DET
ajst-10325	22	55	problem	problem	NOUN
ajst-10325	22	56	that	that	SCONJ
ajst-10325	22	57	recursive	recursive	ADJ
ajst-10325	22	58	networks	network	NOUN
ajst-10325	22	59	are	be	AUX
ajst-10325	22	60	difficult	difficult	ADJ
ajst-10325	22	61	to	to	PART
ajst-10325	22	62	train	train	VERB
ajst-10325	22	63	.	.	PUNCT
ajst-10325	23	1	2	2	X
ajst-10325	23	2	.	.	X
ajst-10325	23	3	related	relate	VERB
ajst-10325	23	4	technologies	technology	NOUN
ajst-10325	23	5	2.1	2.1	NUM
ajst-10325	23	6	.	.	PUNCT
ajst-10325	24	1	lstm	lstm	ADJ
ajst-10325	24	2	algorithm	algorithm	PROPN
ajst-10325	24	3	long	long	ADJ
ajst-10325	24	4	short	short	ADJ
ajst-10325	24	5	-	-	PUNCT
ajst-10325	24	6	term	term	NOUN
ajst-10325	24	7	memory[4]is	memory[4]is	PROPN
ajst-10325	24	8	a	a	DET
ajst-10325	24	9	special	special	ADJ
ajst-10325	24	10	recurrent	recurrent	ADJ
ajst-10325	24	11	neural	neural	ADJ
ajst-10325	24	12	network	network	NOUN
ajst-10325	24	13	,	,	PUNCT
ajst-10325	24	14	rnn	rnn	PROPN
ajst-10325	24	15	)	)	PUNCT
ajst-10325	24	16	with	with	ADP
ajst-10325	24	17	good	good	ADJ
ajst-10325	24	18	long	long	ADJ
ajst-10325	24	19	-	-	PUNCT
ajst-10325	24	20	time	time	NOUN
ajst-10325	24	21	learning	learning	NOUN
ajst-10325	24	22	ability	ability	NOUN
ajst-10325	24	23	.	.	PUNCT
ajst-10325	25	1	the	the	DET
ajst-10325	25	2	basic	basic	ADJ
ajst-10325	25	3	structure	structure	NOUN
ajst-10325	25	4	consists	consist	VERB
ajst-10325	25	5	of	of	ADP
ajst-10325	25	6	three	three	NUM
ajst-10325	25	7	gating	gate	VERB
ajst-10325	25	8	units	unit	NOUN
ajst-10325	25	9	,	,	PUNCT
ajst-10325	25	10	including	include	VERB
ajst-10325	25	11	forgetting	forget	VERB
ajst-10325	25	12	gate	gate	NOUN
ajst-10325	25	13	,	,	PUNCT
ajst-10325	25	14	input	input	NOUN
ajst-10325	25	15	gate	gate	NOUN
ajst-10325	25	16	,	,	PUNCT
ajst-10325	25	17	output	output	NOUN
ajst-10325	25	18	gate	gate	NOUN
ajst-10325	25	19	and	and	CCONJ
ajst-10325	25	20	a	a	DET
ajst-10325	25	21	cell	cell	NOUN
ajst-10325	25	22	state	state	NOUN
ajst-10325	25	23	.	.	PUNCT
ajst-10325	26	1	the	the	DET
ajst-10325	26	2	main	main	ADJ
ajst-10325	26	3	function	function	NOUN
ajst-10325	26	4	of	of	ADP
ajst-10325	26	5	forgetting	forget	VERB
ajst-10325	26	6	gate	gate	NOUN
ajst-10325	26	7	is	be	AUX
ajst-10325	26	8	to	to	PART
ajst-10325	26	9	decide	decide	VERB
ajst-10325	26	10	which	which	DET
ajst-10325	26	11	information	information	NOUN
ajst-10325	26	12	needs	need	VERB
ajst-10325	26	13	to	to	PART
ajst-10325	26	14	be	be	AUX
ajst-10325	26	15	forgotten	forget	VERB
ajst-10325	26	16	from	from	ADP
ajst-10325	26	17	the	the	DET
ajst-10325	26	18	cell	cell	NOUN
ajst-10325	26	19	state	state	NOUN
ajst-10325	26	20	.	.	PUNCT
ajst-10325	27	1	the	the	DET
ajst-10325	27	2	input	input	NOUN
ajst-10325	27	3	of	of	ADP
ajst-10325	27	4	forgetting	forget	VERB
ajst-10325	27	5	gate	gate	NOUN
ajst-10325	27	6	includes	include	VERB
ajst-10325	27	7	the	the	DET
ajst-10325	27	8	hidden	hidden	ADJ
ajst-10325	27	9	state	state	NOUN
ajst-10325	27	10	of	of	ADP
ajst-10325	27	11	the	the	DET
ajst-10325	27	12	previous	previous	ADJ
ajst-10325	27	13	time	time	NOUN
ajst-10325	27	14	step	step	NOUN
ajst-10325	27	15	and	and	CCONJ
ajst-10325	27	16	the	the	DET
ajst-10325	27	17	input	input	NOUN
ajst-10325	27	18	data	datum	NOUN
ajst-10325	27	19	of	of	ADP
ajst-10325	27	20	the	the	DET
ajst-10325	27	21	current	current	ADJ
ajst-10325	27	22	time	time	NOUN
ajst-10325	27	23	step	step	NOUN
ajst-10325	27	24	.	.	PUNCT
ajst-10325	28	1	the	the	DET
ajst-10325	28	2	main	main	ADJ
ajst-10325	28	3	function	function	NOUN
ajst-10325	28	4	of	of	ADP
ajst-10325	28	5	the	the	DET
ajst-10325	28	6	input	input	NOUN
ajst-10325	28	7	gate	gate	NOUN
ajst-10325	28	8	is	be	AUX
ajst-10325	28	9	to	to	PART
ajst-10325	28	10	decide	decide	VERB
ajst-10325	28	11	which	which	DET
ajst-10325	28	12	information	information	NOUN
ajst-10325	28	13	needs	need	VERB
ajst-10325	28	14	to	to	PART
ajst-10325	28	15	be	be	AUX
ajst-10325	28	16	updated	update	VERB
ajst-10325	28	17	to	to	ADP
ajst-10325	28	18	the	the	DET
ajst-10325	28	19	cell	cell	NOUN
ajst-10325	28	20	state	state	NOUN
ajst-10325	28	21	.	.	PUNCT
ajst-10325	29	1	the	the	DET
ajst-10325	29	2	input	input	NOUN
ajst-10325	29	3	of	of	ADP
ajst-10325	29	4	the	the	DET
ajst-10325	29	5	input	input	NOUN
ajst-10325	29	6	gate	gate	NOUN
ajst-10325	29	7	also	also	ADV
ajst-10325	29	8	includes	include	VERB
ajst-10325	29	9	the	the	DET
ajst-10325	29	10	hidden	hidden	ADJ
ajst-10325	29	11	state	state	NOUN
ajst-10325	29	12	of	of	ADP
ajst-10325	29	13	the	the	DET
ajst-10325	29	14	previous	previous	ADJ
ajst-10325	29	15	time	time	NOUN
ajst-10325	29	16	step	step	NOUN
ajst-10325	29	17	and	and	CCONJ
ajst-10325	29	18	the	the	DET
ajst-10325	29	19	input	input	NOUN
ajst-10325	29	20	data	datum	NOUN
ajst-10325	29	21	of	of	ADP
ajst-10325	29	22	the	the	DET
ajst-10325	29	23	current	current	ADJ
ajst-10325	29	24	time	time	NOUN
ajst-10325	29	25	step	step	NOUN
ajst-10325	29	26	.	.	PUNCT
ajst-10325	30	1	the	the	DET
ajst-10325	30	2	main	main	ADJ
ajst-10325	30	3	function	function	NOUN
ajst-10325	30	4	of	of	ADP
ajst-10325	30	5	the	the	DET
ajst-10325	30	6	output	output	NOUN
ajst-10325	30	7	gate	gate	NOUN
ajst-10325	30	8	is	be	AUX
ajst-10325	30	9	to	to	PART
ajst-10325	30	10	decide	decide	VERB
ajst-10325	30	11	which	which	DET
ajst-10325	30	12	information	information	NOUN
ajst-10325	30	13	needs	need	VERB
ajst-10325	30	14	to	to	PART
ajst-10325	30	15	be	be	AUX
ajst-10325	30	16	output	output	NOUN
ajst-10325	30	17	from	from	ADP
ajst-10325	30	18	the	the	DET
ajst-10325	30	19	cell	cell	NOUN
ajst-10325	30	20	state	state	NOUN
ajst-10325	30	21	to	to	ADP
ajst-10325	30	22	the	the	DET
ajst-10325	30	23	hidden	hidden	ADJ
ajst-10325	30	24	state	state	NOUN
ajst-10325	30	25	of	of	ADP
ajst-10325	30	26	the	the	DET
ajst-10325	30	27	next	next	ADJ
ajst-10325	30	28	time	time	NOUN
ajst-10325	30	29	step	step	NOUN
ajst-10325	30	30	.	.	PUNCT
ajst-10325	31	1	the	the	DET
ajst-10325	31	2	input	input	NOUN
ajst-10325	31	3	of	of	ADP
ajst-10325	31	4	the	the	DET
ajst-10325	31	5	output	output	NOUN
ajst-10325	31	6	gate	gate	NOUN
ajst-10325	31	7	also	also	ADV
ajst-10325	31	8	includes	include	VERB
ajst-10325	31	9	the	the	DET
ajst-10325	31	10	hidden	hidden	ADJ
ajst-10325	31	11	state	state	NOUN
ajst-10325	31	12	of	of	ADP
ajst-10325	31	13	the	the	DET
ajst-10325	31	14	previous	previous	ADJ
ajst-10325	31	15	time	time	NOUN
ajst-10325	31	16	step	step	NOUN
ajst-10325	31	17	and	and	CCONJ
ajst-10325	31	18	the	the	DET
ajst-10325	31	19	input	input	NOUN
ajst-10325	31	20	data	datum	NOUN
ajst-10325	31	21	of	of	ADP
ajst-10325	31	22	the	the	DET
ajst-10325	31	23	current	current	ADJ
ajst-10325	31	24	time	time	NOUN
ajst-10325	31	25	step	step	NOUN
ajst-10325	31	26	.	.	PUNCT
ajst-10325	32	1	through	through	ADP
ajst-10325	32	2	the	the	DET
ajst-10325	32	3	interaction	interaction	NOUN
ajst-10325	32	4	of	of	ADP
ajst-10325	32	5	these	these	DET
ajst-10325	32	6	three	three	NUM
ajst-10325	32	7	gating	gate	VERB
ajst-10325	32	8	units	unit	NOUN
ajst-10325	32	9	,	,	PUNCT
ajst-10325	32	10	lstm	lstm	PROPN
ajst-10325	32	11	can	can	AUX
ajst-10325	32	12	learn	learn	VERB
ajst-10325	32	13	the	the	DET
ajst-10325	32	14	long	long	ADJ
ajst-10325	32	15	-	-	PUNCT
ajst-10325	32	16	term	term	NOUN
ajst-10325	32	17	dependencies	dependency	NOUN
ajst-10325	32	18	in	in	ADP
ajst-10325	32	19	the	the	DET
ajst-10325	32	20	sequence	sequence	NOUN
ajst-10325	32	21	and	and	CCONJ
ajst-10325	32	22	keep	keep	VERB
ajst-10325	32	23	or	or	CCONJ
ajst-10325	32	24	forget	forget	VERB
ajst-10325	32	25	the	the	DET
ajst-10325	32	26	information	information	NOUN
ajst-10325	32	27	when	when	SCONJ
ajst-10325	32	28	necessary	necessary	ADJ
ajst-10325	32	29	,	,	PUNCT
ajst-10325	32	30	which	which	PRON
ajst-10325	32	31	makes	make	VERB
ajst-10325	32	32	lstm	lstm	NOUN
ajst-10325	32	33	show	show	VERB
ajst-10325	32	34	better	well	ADJ
ajst-10325	32	35	performance	performance	NOUN
ajst-10325	32	36	in	in	ADP
ajst-10325	32	37	processing	process	VERB
ajst-10325	32	38	long	long	ADJ
ajst-10325	32	39	sequence	sequence	NOUN
ajst-10325	32	40	data	datum	NOUN
ajst-10325	32	41	.	.	PUNCT
ajst-10325	33	1	the	the	DET
ajst-10325	33	2	neuron	neuron	NOUN
ajst-10325	33	3	structure	structure	NOUN
ajst-10325	33	4	of	of	ADP
ajst-10325	33	5	lstm	lstm	PROPN
ajst-10325	33	6	neural	neural	ADJ
ajst-10325	33	7	network	network	NOUN
ajst-10325	33	8	is	be	AUX
ajst-10325	33	9	shown	show	VERB
ajst-10325	33	10	in	in	ADP
ajst-10325	33	11	figure	figure	NOUN
ajst-10325	33	12	1	1	NUM
ajst-10325	33	13	:	:	PUNCT
ajst-10325	33	14	figure	figure	NOUN
ajst-10325	33	15	1	1	NUM
ajst-10325	33	16	.	.	PUNCT
ajst-10325	34	1	the	the	DET
ajst-10325	34	2	neuron	neuron	NOUN
ajst-10325	34	3	structure	structure	NOUN
ajst-10325	34	4	of	of	ADP
ajst-10325	34	5	lstm	lstm	PROPN
ajst-10325	34	6	neural	neural	ADJ
ajst-10325	34	7	network	network	NOUN
ajst-10325	34	8	55	55	NUM
ajst-10325	34	9	3	3	NUM
ajst-10325	34	10	.	.	PUNCT
ajst-10325	34	11	exploratory	exploratory	ADJ
ajst-10325	34	12	data	datum	NOUN
ajst-10325	34	13	analysis	analysis	NOUN
ajst-10325	34	14	the	the	DET
ajst-10325	34	15	data	datum	NOUN
ajst-10325	34	16	set	set	VERB
ajst-10325	34	17	used	use	VERB
ajst-10325	34	18	is	be	AUX
ajst-10325	34	19	jena	jena	PROPN
ajst-10325	34	20	meteorological	meteorological	PROPN
ajst-10325	34	21	data	datum	NOUN
ajst-10325	34	22	set[5	set[5	NOUN
ajst-10325	34	23	]	]	PUNCT
ajst-10325	34	24	,	,	PUNCT
ajst-10325	34	25	and	and	CCONJ
ajst-10325	34	26	jena	jena	PROPN
ajst-10325	34	27	climate	climate	PROPN
ajst-10325	34	28	dataset	dataset	NOUN
ajst-10325	34	29	is	be	AUX
ajst-10325	34	30	a	a	DET
ajst-10325	34	31	weather	weather	NOUN
ajst-10325	34	32	time	time	NOUN
ajst-10325	34	33	series	series	PROPN
ajst-10325	34	34	data	data	PROPN
ajst-10325	34	35	set	set	VERB
ajst-10325	34	36	recorded	record	VERB
ajst-10325	34	37	at	at	ADP
ajst-10325	34	38	the	the	DET
ajst-10325	34	39	meteorological	meteorological	ADJ
ajst-10325	34	40	station	station	NOUN
ajst-10325	34	41	of	of	ADP
ajst-10325	34	42	max	max	PROPN
ajst-10325	34	43	planck	planck	PROPN
ajst-10325	34	44	institute	institute	PROPN
ajst-10325	34	45	of	of	ADP
ajst-10325	34	46	biogeochemistry	biogeochemistry	PROPN
ajst-10325	34	47	in	in	ADP
ajst-10325	34	48	jena	jena	PROPN
ajst-10325	34	49	,	,	PUNCT
ajst-10325	34	50	germany	germany	PROPN
ajst-10325	34	51	.	.	PUNCT
ajst-10325	35	1	show	show	VERB
ajst-10325	35	2	all	all	DET
ajst-10325	35	3	the	the	DET
ajst-10325	35	4	data	datum	NOUN
ajst-10325	35	5	,	,	PUNCT
ajst-10325	35	6	including	include	VERB
ajst-10325	35	7	420551	420551	NUM
ajst-10325	35	8	pieces	piece	NOUN
ajst-10325	35	9	of	of	ADP
ajst-10325	35	10	data	datum	NOUN
ajst-10325	35	11	and	and	CCONJ
ajst-10325	35	12	14	14	NUM
ajst-10325	35	13	different	different	ADJ
ajst-10325	35	14	feature	feature	NOUN
ajst-10325	35	15	quantities	quantity	NOUN
ajst-10325	36	1	[	[	X
ajst-10325	36	2	6	6	NUM
ajst-10325	36	3	]	]	PUNCT
ajst-10325	36	4	:	:	PUNCT
ajst-10325	36	5	because	because	SCONJ
ajst-10325	36	6	the	the	DET
ajst-10325	36	7	statistics	statistic	NOUN
ajst-10325	36	8	are	be	AUX
ajst-10325	36	9	recorded	record	VERB
ajst-10325	36	10	every	every	DET
ajst-10325	36	11	ten	ten	NUM
ajst-10325	36	12	minutes	minute	NOUN
ajst-10325	36	13	,	,	PUNCT
ajst-10325	36	14	there	there	PRON
ajst-10325	36	15	are	be	VERB
ajst-10325	36	16	144	144	NUM
ajst-10325	36	17	data	datum	NOUN
ajst-10325	36	18	points	point	NOUN
ajst-10325	36	19	every	every	DET
ajst-10325	36	20	day	day	NOUN
ajst-10325	36	21	.	.	PUNCT
ajst-10325	37	1	the	the	DET
ajst-10325	37	2	following	follow	VERB
ajst-10325	37	3	figure	figure	NOUN
ajst-10325	37	4	shows	show	VERB
ajst-10325	37	5	the	the	DET
ajst-10325	37	6	temperature	temperature	NOUN
ajst-10325	37	7	changes	change	NOUN
ajst-10325	37	8	in	in	ADP
ajst-10325	37	9	the	the	DET
ajst-10325	37	10	first	first	ADJ
ajst-10325	37	11	15	15	NUM
ajst-10325	37	12	days	day	NOUN
ajst-10325	37	13	of	of	ADP
ajst-10325	37	14	the	the	DET
ajst-10325	37	15	data	datum	NOUN
ajst-10325	37	16	set	set	VERB
ajst-10325	37	17	.	.	PUNCT
ajst-10325	38	1	as	as	SCONJ
ajst-10325	38	2	can	can	AUX
ajst-10325	38	3	be	be	AUX
ajst-10325	38	4	seen	see	VERB
ajst-10325	38	5	from	from	ADP
ajst-10325	38	6	the	the	DET
ajst-10325	38	7	figure	figure	NOUN
ajst-10325	38	8	,	,	PUNCT
ajst-10325	38	9	the	the	DET
ajst-10325	38	10	temperature	temperature	NOUN
ajst-10325	38	11	changes	change	NOUN
ajst-10325	38	12	show	show	VERB
ajst-10325	38	13	a	a	DET
ajst-10325	38	14	certain	certain	ADJ
ajst-10325	38	15	periodicity	periodicity	NOUN
ajst-10325	38	16	:	:	PUNCT
ajst-10325	38	17	figure	figure	NOUN
ajst-10325	38	18	1	1	NUM
ajst-10325	38	19	.	.	PUNCT
ajst-10325	38	20	temperature	temperature	NOUN
ajst-10325	38	21	in	in	ADP
ajst-10325	38	22	the	the	DET
ajst-10325	38	23	first	first	ADJ
ajst-10325	38	24	15	15	NUM
ajst-10325	38	25	days	day	NOUN
ajst-10325	38	26	of	of	ADP
ajst-10325	38	27	the	the	DET
ajst-10325	38	28	data	datum	NOUN
ajst-10325	38	29	set	set	VERB
ajst-10325	38	30	4	4	NUM
ajst-10325	38	31	.	.	NOUN
ajst-10325	38	32	result	result	VERB
ajst-10325	38	33	analysis	analysis	NOUN
ajst-10325	38	34	4.1	4.1	NUM
ajst-10325	38	35	.	.	PUNCT
ajst-10325	39	1	evaluation	evaluation	NOUN
ajst-10325	39	2	indicators	indicator	NOUN
ajst-10325	39	3	root	root	VERB
ajst-10325	39	4	mean	mean	VERB
ajst-10325	39	5	square	square	ADJ
ajst-10325	39	6	error	error	NOUN
ajst-10325	39	7	(	(	PUNCT
ajst-10325	39	8	rmse	rmse	NOUN
ajst-10325	39	9	)	)	PUNCT
ajst-10325	39	10	,	,	PUNCT
ajst-10325	39	11	the	the	DET
ajst-10325	39	12	value	value	NOUN
ajst-10325	39	13	of	of	ADP
ajst-10325	39	14	rmse	rmse	NOUN
ajst-10325	39	15	is	be	AUX
ajst-10325	39	16	the	the	DET
ajst-10325	39	17	arithmetic	arithmetic	ADJ
ajst-10325	39	18	square	square	ADJ
ajst-10325	39	19	root	root	NOUN
ajst-10325	39	20	of	of	ADP
ajst-10325	39	21	the	the	DET
ajst-10325	39	22	ratio	ratio	NOUN
ajst-10325	39	23	of	of	ADP
ajst-10325	39	24	the	the	DET
ajst-10325	39	25	sum	sum	NOUN
ajst-10325	39	26	of	of	ADP
ajst-10325	39	27	the	the	DET
ajst-10325	39	28	squares	square	NOUN
ajst-10325	39	29	of	of	ADP
ajst-10325	39	30	the	the	DET
ajst-10325	39	31	deviation	deviation	NOUN
ajst-10325	39	32	between	between	ADP
ajst-10325	39	33	the	the	DET
ajst-10325	39	34	predicted	predict	VERB
ajst-10325	39	35	value	value	NOUN
ajst-10325	39	36	and	and	CCONJ
ajst-10325	39	37	the	the	DET
ajst-10325	39	38	true	true	ADJ
ajst-10325	39	39	value	value	NOUN
ajst-10325	39	40	obtained	obtain	VERB
ajst-10325	39	41	after	after	ADP
ajst-10325	39	42	model	model	NOUN
ajst-10325	39	43	training	training	NOUN
ajst-10325	39	44	to	to	ADP
ajst-10325	39	45	the	the	DET
ajst-10325	39	46	number	number	NOUN
ajst-10325	39	47	of	of	ADP
ajst-10325	39	48	verification	verification	NOUN
ajst-10325	39	49	n	n	CCONJ
ajst-10325	39	50	,	,	PUNCT
ajst-10325	39	51	which	which	PRON
ajst-10325	39	52	is	be	AUX
ajst-10325	39	53	often	often	ADV
ajst-10325	39	54	used	use	VERB
ajst-10325	39	55	as	as	ADP
ajst-10325	39	56	an	an	DET
ajst-10325	39	57	evaluation	evaluation	NOUN
ajst-10325	39	58	index	index	NOUN
ajst-10325	39	59	for	for	ADP
ajst-10325	39	60	deep	deep	ADJ
ajst-10325	39	61	learning	learning	NOUN
ajst-10325	39	62	models	model	NOUN
ajst-10325	39	63	,	,	PUNCT
ajst-10325	39	64	as	as	SCONJ
ajst-10325	39	65	shown	show	VERB
ajst-10325	39	66	in	in	ADP
ajst-10325	39	67	the	the	DET
ajst-10325	39	68	following	follow	VERB
ajst-10325	39	69	formula	formula	NOUN
ajst-10325	39	70	:	:	PUNCT
ajst-10325	39	71	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
ajst-10325	39	72	∑	∑	PUNCT
ajst-10325	39	73	𝑆	𝑆	PROPN
ajst-10325	39	74	𝑖	𝑖	SYM
ajst-10325	39	75	𝑆	𝑆	PROPN
ajst-10325	39	76	𝑖	𝑖	SYM
ajst-10325	39	77	(	(	PUNCT
ajst-10325	39	78	1	1	NUM
ajst-10325	39	79	)	)	PUNCT
ajst-10325	39	80	among	among	ADP
ajst-10325	39	81	them	they	PRON
ajst-10325	39	82	:	:	PUNCT
ajst-10325	39	83	𝑆	𝑆	PROPN
ajst-10325	39	84	𝑖	𝑖	PUNCT
ajst-10325	39	85	is	be	AUX
ajst-10325	39	86	the	the	DET
ajst-10325	39	87	true	true	ADJ
ajst-10325	39	88	value	value	NOUN
ajst-10325	39	89	of	of	ADP
ajst-10325	39	90	the	the	DET
ajst-10325	39	91	data	datum	NOUN
ajst-10325	39	92	,	,	PUNCT
ajst-10325	39	93	and	and	CCONJ
ajst-10325	39	94	𝑆	𝑆	PROPN
ajst-10325	39	95	𝑖	𝑖	NOUN
ajst-10325	39	96	is	be	AUX
ajst-10325	39	97	the	the	DET
ajst-10325	39	98	predicted	predict	VERB
ajst-10325	39	99	value	value	NOUN
ajst-10325	39	100	of	of	ADP
ajst-10325	39	101	the	the	DET
ajst-10325	39	102	current	current	ADJ
ajst-10325	39	103	data	datum	NOUN
ajst-10325	39	104	.	.	PUNCT
ajst-10325	40	1	4.2	4.2	NUM
ajst-10325	40	2	.	.	PUNCT
ajst-10325	41	1	analysis	analysis	NOUN
ajst-10325	41	2	of	of	ADP
ajst-10325	41	3	experimental	experimental	ADJ
ajst-10325	41	4	results	result	NOUN
ajst-10325	41	5	the	the	DET
ajst-10325	41	6	lstm	lstm	ADJ
ajst-10325	41	7	temperature	temperature	NOUN
ajst-10325	41	8	prediction	prediction	NOUN
ajst-10325	41	9	model	model	NOUN
ajst-10325	41	10	built	build	VERB
ajst-10325	41	11	in	in	ADP
ajst-10325	41	12	this	this	DET
ajst-10325	41	13	paper	paper	NOUN
ajst-10325	41	14	consists	consist	VERB
ajst-10325	41	15	of	of	ADP
ajst-10325	41	16	an	an	DET
ajst-10325	41	17	input	input	NOUN
ajst-10325	41	18	layer	layer	NOUN
ajst-10325	41	19	,	,	PUNCT
ajst-10325	41	20	an	an	DET
ajst-10325	41	21	lstm	lstm	ADJ
ajst-10325	41	22	layer	layer	NOUN
ajst-10325	41	23	,	,	PUNCT
ajst-10325	41	24	and	and	CCONJ
ajst-10325	41	25	an	an	DET
ajst-10325	41	26	output	output	NOUN
ajst-10325	41	27	layer	layer	NOUN
ajst-10325	41	28	.	.	PUNCT
ajst-10325	42	1	in	in	ADP
ajst-10325	42	2	this	this	DET
ajst-10325	42	3	paper	paper	NOUN
ajst-10325	42	4	,	,	PUNCT
ajst-10325	42	5	100	100	NUM
ajst-10325	42	6	days	day	NOUN
ajst-10325	42	7	of	of	ADP
ajst-10325	42	8	data	datum	NOUN
ajst-10325	42	9	are	be	AUX
ajst-10325	42	10	used	use	VERB
ajst-10325	42	11	as	as	ADP
ajst-10325	42	12	the	the	DET
ajst-10325	42	13	training	training	NOUN
ajst-10325	42	14	set	set	VERB
ajst-10325	42	15	for	for	ADP
ajst-10325	42	16	training	training	NOUN
ajst-10325	42	17	,	,	PUNCT
ajst-10325	42	18	and	and	CCONJ
ajst-10325	42	19	a	a	DET
ajst-10325	42	20	total	total	NOUN
ajst-10325	42	21	of	of	ADP
ajst-10325	42	22	1440	1440	NUM
ajst-10325	42	23	data	datum	NOUN
ajst-10325	42	24	of	of	ADP
ajst-10325	42	25	the	the	DET
ajst-10325	42	26	next	next	ADJ
ajst-10325	42	27	10	10	NUM
ajst-10325	42	28	days	day	NOUN
ajst-10325	42	29	are	be	AUX
ajst-10325	42	30	used	use	VERB
ajst-10325	42	31	as	as	ADP
ajst-10325	42	32	the	the	DET
ajst-10325	42	33	test	test	NOUN
ajst-10325	42	34	set	set	VERB
ajst-10325	42	35	.	.	PUNCT
ajst-10325	43	1	in	in	ADP
ajst-10325	43	2	the	the	DET
ajst-10325	43	3	process	process	NOUN
ajst-10325	43	4	of	of	ADP
ajst-10325	43	5	training	train	VERB
ajst-10325	43	6	the	the	DET
ajst-10325	43	7	model	model	NOUN
ajst-10325	43	8	,	,	PUNCT
ajst-10325	43	9	in	in	ADP
ajst-10325	43	10	order	order	NOUN
ajst-10325	43	11	to	to	PART
ajst-10325	43	12	speed	speed	VERB
ajst-10325	43	13	up	up	ADP
ajst-10325	43	14	the	the	DET
ajst-10325	43	15	learning	learning	NOUN
ajst-10325	43	16	rate	rate	NOUN
ajst-10325	43	17	and	and	CCONJ
ajst-10325	43	18	convergence	convergence	NOUN
ajst-10325	43	19	rate	rate	NOUN
ajst-10325	43	20	of	of	ADP
ajst-10325	43	21	the	the	DET
ajst-10325	43	22	lstm	lstm	PROPN
ajst-10325	43	23	deep	deep	PROPN
ajst-10325	43	24	learning	learning	PROPN
ajst-10325	43	25	model	model	NOUN
ajst-10325	43	26	,	,	PUNCT
ajst-10325	43	27	this	this	DET
ajst-10325	43	28	paper	paper	NOUN
ajst-10325	43	29	adds	add	VERB
ajst-10325	43	30	the	the	DET
ajst-10325	43	31	adam	adam	PROPN
ajst-10325	43	32	algorithm	algorithm	NOUN
ajst-10325	43	33	for	for	ADP
ajst-10325	43	34	optimization	optimization	NOUN
ajst-10325	43	35	.	.	PUNCT
ajst-10325	44	1	too	too	ADV
ajst-10325	44	2	few	few	ADJ
ajst-10325	44	3	training	training	NOUN
ajst-10325	44	4	times	time	NOUN
ajst-10325	44	5	are	be	AUX
ajst-10325	44	6	not	not	PART
ajst-10325	44	7	enough	enough	ADJ
ajst-10325	44	8	to	to	PART
ajst-10325	44	9	extract	extract	VERB
ajst-10325	44	10	all	all	DET
ajst-10325	44	11	the	the	DET
ajst-10325	44	12	features	feature	NOUN
ajst-10325	44	13	,	,	PUNCT
ajst-10325	44	14	and	and	CCONJ
ajst-10325	44	15	too	too	ADV
ajst-10325	44	16	many	many	ADJ
ajst-10325	44	17	times	time	NOUN
ajst-10325	44	18	may	may	AUX
ajst-10325	44	19	cause	cause	VERB
ajst-10325	44	20	overfitting	overfitte	VERB
ajst-10325	44	21	.	.	PUNCT
ajst-10325	45	1	after	after	ADP
ajst-10325	45	2	many	many	ADJ
ajst-10325	45	3	experiments	experiment	NOUN
ajst-10325	45	4	,	,	PUNCT
ajst-10325	45	5	the	the	DET
ajst-10325	45	6	epoch	epoch	NOUN
ajst-10325	45	7	was	be	AUX
ajst-10325	45	8	finally	finally	ADV
ajst-10325	45	9	determined	determine	VERB
ajst-10325	45	10	to	to	PART
ajst-10325	45	11	be	be	AUX
ajst-10325	45	12	10	10	NUM
ajst-10325	45	13	.	.	PUNCT
ajst-10325	46	1	the	the	DET
ajst-10325	46	2	performance	performance	NOUN
ajst-10325	46	3	metrics	metric	NOUN
ajst-10325	46	4	of	of	ADP
ajst-10325	46	5	the	the	DET
ajst-10325	46	6	model	model	NOUN
ajst-10325	46	7	are	be	AUX
ajst-10325	46	8	as	as	SCONJ
ajst-10325	46	9	follows	follow	VERB
ajst-10325	46	10	:	:	PUNCT
ajst-10325	46	11	figure	figure	NOUN
ajst-10325	46	12	3	3	NUM
ajst-10325	46	13	.	.	PUNCT
ajst-10325	47	1	the	the	DET
ajst-10325	47	2	performance	performance	NOUN
ajst-10325	47	3	of	of	ADP
ajst-10325	47	4	the	the	DET
ajst-10325	47	5	model	model	NOUN
ajst-10325	47	6	on	on	ADP
ajst-10325	47	7	the	the	DET
ajst-10325	47	8	first	first	ADJ
ajst-10325	47	9	1000	1000	NUM
ajst-10325	47	10	test	test	NOUN
ajst-10325	47	11	sets	set	NOUN
ajst-10325	47	12	table	table	NOUN
ajst-10325	47	13	1	1	NUM
ajst-10325	47	14	.	.	PUNCT
ajst-10325	48	1	the	the	DET
ajst-10325	48	2	indicators	indicator	NOUN
ajst-10325	48	3	of	of	ADP
ajst-10325	48	4	the	the	DET
ajst-10325	48	5	model	model	NOUN
ajst-10325	48	6	evaluation	evaluation	NOUN
ajst-10325	48	7	index	index	NOUN
ajst-10325	48	8	lstm	lstm	NOUN
ajst-10325	48	9	rmse	rmse	PROPN
ajst-10325	48	10	0.803	0.803	NUM
ajst-10325	48	11	mae	mae	PROPN
ajst-10325	48	12	0.545	0.545	NUM
ajst-10325	48	13	r2	r2	PROPN
ajst-10325	48	14	0.970	0.970	NUM
ajst-10325	48	15	5	5	NUM
ajst-10325	48	16	.	.	PUNCT
ajst-10325	48	17	summary	summary	NOUN
ajst-10325	48	18	in	in	ADP
ajst-10325	48	19	this	this	DET
ajst-10325	48	20	paper	paper	NOUN
ajst-10325	48	21	,	,	PUNCT
ajst-10325	48	22	lstm	lstm	NOUN
ajst-10325	48	23	is	be	AUX
ajst-10325	48	24	used	use	VERB
ajst-10325	48	25	to	to	PART
ajst-10325	48	26	build	build	VERB
ajst-10325	48	27	a	a	DET
ajst-10325	48	28	temperature	temperature	NOUN
ajst-10325	48	29	prediction	prediction	NOUN
ajst-10325	48	30	model	model	NOUN
ajst-10325	48	31	,	,	PUNCT
ajst-10325	48	32	and	and	CCONJ
ajst-10325	48	33	the	the	DET
ajst-10325	48	34	temperature	temperature	NOUN
ajst-10325	48	35	in	in	ADP
ajst-10325	48	36	the	the	DET
ajst-10325	48	37	next	next	ADJ
ajst-10325	48	38	10	10	NUM
ajst-10325	48	39	days	day	NOUN
ajst-10325	48	40	is	be	AUX
ajst-10325	48	41	predicted	predict	VERB
ajst-10325	48	42	through	through	ADP
ajst-10325	48	43	100	100	NUM
ajst-10325	48	44	days	day	NOUN
ajst-10325	48	45	of	of	ADP
ajst-10325	48	46	data	datum	NOUN
ajst-10325	48	47	,	,	PUNCT
ajst-10325	48	48	and	and	CCONJ
ajst-10325	48	49	the	the	DET
ajst-10325	48	50	adam	adam	PROPN
ajst-10325	48	51	algorithm	algorithm	PROPN
ajst-10325	48	52	is	be	AUX
ajst-10325	48	53	added	add	VERB
ajst-10325	48	54	for	for	ADP
ajst-10325	48	55	optimization	optimization	NOUN
ajst-10325	48	56	to	to	PART
ajst-10325	48	57	effectively	effectively	ADV
ajst-10325	48	58	improve	improve	VERB
ajst-10325	48	59	the	the	DET
ajst-10325	48	60	performance	performance	NOUN
ajst-10325	48	61	indicators	indicator	NOUN
ajst-10325	48	62	of	of	ADP
ajst-10325	48	63	the	the	DET
ajst-10325	48	64	prediction	prediction	NOUN
ajst-10325	48	65	model	model	NOUN
ajst-10325	48	66	.	.	PUNCT
ajst-10325	49	1	from	from	ADP
ajst-10325	49	2	the	the	DET
ajst-10325	49	3	analysis	analysis	NOUN
ajst-10325	49	4	of	of	ADP
ajst-10325	49	5	the	the	DET
ajst-10325	49	6	experimental	experimental	ADJ
ajst-10325	49	7	results	result	NOUN
ajst-10325	49	8	,	,	PUNCT
ajst-10325	49	9	the	the	DET
ajst-10325	49	10	results	result	NOUN
ajst-10325	49	11	of	of	ADP
ajst-10325	49	12	the	the	DET
ajst-10325	49	13	temperature	temperature	NOUN
ajst-10325	49	14	prediction	prediction	NOUN
ajst-10325	49	15	model	model	NOUN
ajst-10325	49	16	based	base	VERB
ajst-10325	49	17	on	on	ADP
ajst-10325	49	18	lstm	lstm	NOUN
ajst-10325	49	19	have	have	VERB
ajst-10325	49	20	high	high	ADJ
ajst-10325	49	21	prediction	prediction	NOUN
ajst-10325	49	22	accuracy	accuracy	NOUN
ajst-10325	49	23	.	.	PUNCT
ajst-10325	50	1	the	the	DET
ajst-10325	50	2	research	research	NOUN
ajst-10325	50	3	in	in	ADP
ajst-10325	50	4	this	this	DET
ajst-10325	50	5	paper	paper	NOUN
ajst-10325	50	6	shows	show	VERB
ajst-10325	50	7	that	that	SCONJ
ajst-10325	50	8	lstm	lstm	NOUN
ajst-10325	50	9	has	have	VERB
ajst-10325	50	10	better	well	ADJ
ajst-10325	50	11	performance	performance	NOUN
ajst-10325	50	12	in	in	ADP
ajst-10325	50	13	dealing	deal	VERB
ajst-10325	50	14	with	with	ADP
ajst-10325	50	15	long	long	ADJ
ajst-10325	50	16	-	-	PUNCT
ajst-10325	50	17	term	term	NOUN
ajst-10325	50	18	series	series	NOUN
ajst-10325	50	19	temperature	temperature	NOUN
ajst-10325	50	20	prediction	prediction	NOUN
ajst-10325	50	21	and	and	CCONJ
ajst-10325	50	22	other	other	ADJ
ajst-10325	50	23	temperature	temperature	NOUN
ajst-10325	50	24	prediction	prediction	NOUN
ajst-10325	50	25	.	.	PUNCT
ajst-10325	51	1	references	reference	NOUN
ajst-10325	51	2	[	[	X
ajst-10325	51	3	1	1	NUM
ajst-10325	51	4	]	]	X
ajst-10325	51	5	zhu	zhu	PROPN
ajst-10325	51	6	jingjing	jingjing	PROPN
ajst-10325	51	7	,	,	PUNCT
ajst-10325	51	8	zhao	zhao	PROPN
ajst-10325	51	9	xiaoping	xiaoping	PROPN
ajst-10325	51	10	,	,	PUNCT
ajst-10325	51	11	wu	wu	PROPN
ajst-10325	51	12	sheng	sheng	PROPN
ajst-10325	52	1	an	an	PROPN
ajst-10325	52	2	,	,	PUNCT
ajst-10325	52	3	et	et	PROPN
ajst-10325	52	4	al	al	PROPN
ajst-10325	52	5	.	.	PROPN
ajst-10325	52	6	research	research	NOUN
ajst-10325	52	7	on	on	ADP
ajst-10325	52	8	temperature	temperature	NOUN
ajst-10325	52	9	prediction	prediction	NOUN
ajst-10325	52	10	model	model	NOUN
ajst-10325	52	11	in	in	ADP
ajst-10325	52	12	hainan	hainan	PROPN
ajst-10325	52	13	based	base	VERB
ajst-10325	52	14	on	on	ADP
ajst-10325	52	15	support	support	NOUN
ajst-10325	52	16	vector	vector	NOUN
ajst-10325	52	17	machine	machine	NOUN
ajst-10325	53	1	[	[	X
ajst-10325	53	2	j	j	X
ajst-10325	53	3	]	]	X
ajst-10325	53	4	.	.	PUNCT
ajst-10325	54	1	journal	journal	PROPN
ajst-10325	54	2	of	of	ADP
ajst-10325	54	3	hainan	hainan	PROPN
ajst-10325	54	4	university	university	PROPN
ajst-10325	54	5	(	(	PUNCT
ajst-10325	54	6	natural	natural	ADJ
ajst-10325	54	7	science	science	NOUN
ajst-10325	54	8	edition	edition	NOUN
ajst-10325	54	9	)	)	PUNCT
ajst-10325	54	10	,	,	PUNCT
ajst-10325	54	11	2016,34(01):40	2016,34(01):40	NUM
ajst-10325	54	12	-	-	SYM
ajst-10325	54	13	44	44	NUM
ajst-10325	54	14	.	.	PUNCT
ajst-10325	55	1	[	[	X
ajst-10325	55	2	2	2	NUM
ajst-10325	55	3	]	]	X
ajst-10325	55	4	li	li	PROPN
ajst-10325	55	5	junlei	junlei	PROPN
ajst-10325	55	6	,	,	PUNCT
ajst-10325	55	7	teng	teng	PROPN
ajst-10325	55	8	shaohua	shaohua	PROPN
ajst-10325	55	9	,	,	PUNCT
ajst-10325	55	10	andy	andy	PROPN
ajst-10325	55	11	.	.	PUNCT
ajst-10325	56	1	temperature	temperature	NOUN
ajst-10325	56	2	prediction	prediction	NOUN
ajst-10325	56	3	based	base	VERB
ajst-10325	56	4	on	on	ADP
ajst-10325	56	5	decision	decision	NOUN
ajst-10325	56	6	tree	tree	NOUN
ajst-10325	56	7	combination	combination	NOUN
ajst-10325	56	8	classifier	classifier	NOUN
ajst-10325	57	1	[	[	X
ajst-10325	57	2	j	j	X
ajst-10325	57	3	]	]	X
ajst-10325	57	4	.	.	PUNCT
ajst-10325	58	1	journal	journal	PROPN
ajst-10325	58	2	of	of	ADP
ajst-10325	58	3	guangdong	guangdong	PROPN
ajst-10325	58	4	university	university	PROPN
ajst-10325	58	5	of	of	ADP
ajst-10325	58	6	technology	technology	NOUN
ajst-10325	58	7	,	,	PUNCT
ajst-10325	58	8	2014,31(04):54	2014,31(04):54	NOUN
ajst-10325	58	9	-	-	SYM
ajst-10325	58	10	59	59	NUM
ajst-10325	58	11	.	.	PUNCT
ajst-10325	59	1	[	[	X
ajst-10325	59	2	3	3	X
ajst-10325	59	3	]	]	X
ajst-10325	59	4	zhang	zhang	PROPN
ajst-10325	59	5	cheng	cheng	PROPN
ajst-10325	59	6	,	,	PUNCT
ajst-10325	59	7	qu	qu	PROPN
ajst-10325	59	8	weidong	weidong	PROPN
ajst-10325	59	9	.	.	PUNCT
ajst-10325	59	10	prediction	prediction	NOUN
ajst-10325	59	11	model	model	NOUN
ajst-10325	59	12	of	of	ADP
ajst-10325	59	13	near	near	ADJ
ajst-10325	59	14	space	space	NOUN
ajst-10325	59	15	temperature	temperature	NOUN
ajst-10325	59	16	based	base	VERB
ajst-10325	59	17	on	on	ADP
ajst-10325	59	18	rbf	rbf	PROPN
ajst-10325	59	19	neural	neural	ADJ
ajst-10325	59	20	network	network	NOUN
ajst-10325	59	21	[	[	X
ajst-10325	59	22	j	j	X
ajst-10325	59	23	]	]	X
ajst-10325	59	24	.	.	PUNCT
ajst-10325	60	1	control	control	PROPN
ajst-10325	60	2	engineering	engineering	PROPN
ajst-10325	60	3	,	,	PUNCT
ajst-10325	60	4	2008(s1):106	2008(s1):106	NUM
ajst-10325	60	5	-	-	PUNCT
ajst-10325	60	6	108	108	NUM
ajst-10325	60	7	+	+	NOUN
ajst-10325	60	8	112	112	NUM
ajst-10325	60	9	.	.	PUNCT
ajst-10325	61	1	[	[	X
ajst-10325	61	2	4	4	NUM
ajst-10325	61	3	]	]	X
ajst-10325	61	4	tian	tian	ADJ
ajst-10325	61	5	yibo	yibo	PROPN
ajst-10325	61	6	.	.	PUNCT
ajst-10325	62	1	exploration	exploration	NOUN
ajst-10325	62	2	on	on	ADP
ajst-10325	62	3	assimilation	assimilation	NOUN
ajst-10325	62	4	analysis	analysis	NOUN
ajst-10325	62	5	of	of	ADP
ajst-10325	62	6	singlestation	singlestation	NOUN
ajst-10325	62	7	multi	multi	ADJ
ajst-10325	62	8	-	-	ADJ
ajst-10325	62	9	channel	channel	ADJ
ajst-10325	62	10	observation	observation	NOUN
ajst-10325	62	11	data	datum	NOUN
ajst-10325	62	12	based	base	VERB
ajst-10325	62	13	on	on	ADP
ajst-10325	62	14	lstm	lstm	NOUN
ajst-10325	62	15	[	[	X
ajst-10325	62	16	d	d	X
ajst-10325	62	17	]	]	X
ajst-10325	62	18	.	.	PUNCT
ajst-10325	63	1	institute	institute	PROPN
ajst-10325	63	2	of	of	ADP
ajst-10325	63	3	disaster	disaster	NOUN
ajst-10325	63	4	prevention	prevention	NOUN
ajst-10325	63	5	and	and	CCONJ
ajst-10325	63	6	technology	technology	NOUN
ajst-10325	63	7	,	,	PUNCT
ajst-10325	63	8	2023	2023	NUM
ajst-10325	63	9	.	.	PUNCT
ajst-10325	64	1	[	[	X
ajst-10325	64	2	5	5	X
ajst-10325	64	3	]	]	PUNCT
ajst-10325	64	4	the	the	DET
ajst-10325	64	5	weather	weather	NOUN
ajst-10325	64	6	station	station	NOUN
ajst-10325	64	7	of	of	ADP
ajst-10325	64	8	the	the	DET
ajst-10325	64	9	max	max	PROPN
ajst-10325	64	10	planck	planck	PROPN
ajst-10325	64	11	institute	institute	PROPN
ajst-10325	64	12	for	for	ADP
ajst-10325	64	13	biogeochemistry	biogeochemistry	PROPN
ajst-10325	64	14	https://www.bgc-jena.mpg.de/wetter/	https://www.bgc-jena.mpg.de/wetter/	PROPN
ajst-10325	65	1	[	[	X
ajst-10325	65	2	6	6	NUM
ajst-10325	65	3	]	]	PUNCT
ajst-10325	65	4	jena	jena	PROPN
ajst-10325	65	5	climate	climate	PROPN
ajst-10325	65	6	dataset	dataset	VERB
ajst-10325	65	7	https://www.kaggle.com/datasets/mnassrib/jena-climate	https://www.kaggle.com/datasets/mnassrib/jena-climate	VERB