id	sid	tid	token	lemma	pos
ajst-29611	1	1	academic	academic	ADJ
ajst-29611	1	2	journal	journal	NOUN
ajst-29611	1	3	of	of	ADP
ajst-29611	1	4	science	science	NOUN
ajst-29611	1	5	and	and	CCONJ
ajst-29611	1	6	technology	technology	NOUN
ajst-29611	1	7	issn	issn	NOUN
ajst-29611	1	8	:	:	PUNCT
ajst-29611	1	9	2771	2771	NUM
ajst-29611	1	10	-	-	SYM
ajst-29611	1	11	3032	3032	NUM
ajst-29611	1	12	|	|	NOUN
ajst-29611	1	13	vol	vol	NOUN
ajst-29611	1	14	.	.	PUNCT
ajst-29611	2	1	14	14	NUM
ajst-29611	2	2	,	,	PUNCT
ajst-29611	2	3	no	no	INTJ
ajst-29611	2	4	.	.	NOUN
ajst-29611	2	5	1	1	NUM
ajst-29611	2	6	,	,	PUNCT
ajst-29611	2	7	2025	2025	NUM
ajst-29611	2	8	201	201	NUM
ajst-29611	2	9	study	study	NOUN
ajst-29611	2	10	on	on	ADP
ajst-29611	2	11	coalbed	coalbe	VERB
ajst-29611	2	12	methane	methane	NOUN
ajst-29611	2	13	well	well	NOUN
ajst-29611	2	14	production	production	NOUN
ajst-29611	2	15	forecasting	forecasting	NOUN
ajst-29611	2	16	based	base	VERB
ajst-29611	2	17	on	on	ADP
ajst-29611	2	18	vmd	vmd	PROPN
ajst-29611	2	19	and	and	CCONJ
ajst-29611	2	20	hybrid	hybrid	ADJ
ajst-29611	2	21	time	time	NOUN
ajst-29611	2	22	series	series	PROPN
ajst-29611	2	23	models	model	NOUN
ajst-29611	2	24	qianyu	qianyu	VERB
ajst-29611	2	25	zheng1	zheng1	NOUN
ajst-29611	2	26	,	,	PUNCT
ajst-29611	2	27	*	*	PUNCT
ajst-29611	3	1	1school	1school	NUM
ajst-29611	3	2	of	of	ADP
ajst-29611	3	3	computer	computer	NOUN
ajst-29611	3	4	science	science	NOUN
ajst-29611	3	5	and	and	CCONJ
ajst-29611	3	6	technology	technology	NOUN
ajst-29611	3	7	,	,	PUNCT
ajst-29611	3	8	henan	henan	PROPN
ajst-29611	3	9	polytechnic	polytechnic	PROPN
ajst-29611	3	10	university	university	PROPN
ajst-29611	3	11	,	,	PUNCT
ajst-29611	3	12	jiaozuo	jiaozuo	PROPN
ajst-29611	3	13	,	,	PUNCT
ajst-29611	3	14	henan	henan	PROPN
ajst-29611	3	15	454000	454000	NUM
ajst-29611	3	16	,	,	PUNCT
ajst-29611	3	17	china	china	PROPN
ajst-29611	3	18	*	*	PUNCT
ajst-29611	3	19	correspondence	correspondence	NOUN
ajst-29611	3	20	:	:	PUNCT
ajst-29611	3	21	qianyu	qianyu	VERB
ajst-29611	3	22	zheng	zheng	PROPN
ajst-29611	3	23	abstract	abstract	NOUN
ajst-29611	3	24	:	:	PUNCT
ajst-29611	3	25	to	to	PART
ajst-29611	3	26	address	address	VERB
ajst-29611	3	27	the	the	DET
ajst-29611	3	28	challenges	challenge	NOUN
ajst-29611	3	29	of	of	ADP
ajst-29611	3	30	non	non	ADJ
ajst-29611	3	31	-	-	ADJ
ajst-29611	3	32	stationarity	stationarity	NOUN
ajst-29611	3	33	and	and	CCONJ
ajst-29611	3	34	nonlinearity	nonlinearity	NOUN
ajst-29611	3	35	in	in	ADP
ajst-29611	3	36	forecasting	forecast	VERB
ajst-29611	3	37	daily	daily	ADJ
ajst-29611	3	38	gas	gas	NOUN
ajst-29611	3	39	production	production	NOUN
ajst-29611	3	40	for	for	ADP
ajst-29611	3	41	coalbed	coalbe	VERB
ajst-29611	3	42	methane	methane	NOUN
ajst-29611	3	43	(	(	PUNCT
ajst-29611	3	44	cbm	cbm	PROPN
ajst-29611	3	45	)	)	PUNCT
ajst-29611	3	46	wells	wells	PROPN
ajst-29611	3	47	,	,	PUNCT
ajst-29611	3	48	a	a	DET
ajst-29611	3	49	hybrid	hybrid	ADJ
ajst-29611	3	50	prediction	prediction	NOUN
ajst-29611	3	51	model	model	NOUN
ajst-29611	3	52	incorporating	incorporate	VERB
ajst-29611	3	53	variational	variational	ADJ
ajst-29611	3	54	mode	mode	NOUN
ajst-29611	3	55	decomposition	decomposition	NOUN
ajst-29611	3	56	(	(	PUNCT
ajst-29611	3	57	vmd	vmd	NOUN
ajst-29611	3	58	)	)	PUNCT
ajst-29611	3	59	,	,	PUNCT
ajst-29611	3	60	convolutional	convolutional	ADJ
ajst-29611	3	61	neural	neural	ADJ
ajst-29611	3	62	network	network	NOUN
ajst-29611	3	63	-	-	PUNCT
ajst-29611	3	64	long	long	ADJ
ajst-29611	3	65	short	short	ADJ
ajst-29611	3	66	-	-	PUNCT
ajst-29611	3	67	term	term	NOUN
ajst-29611	3	68	memory	memory	NOUN
ajst-29611	3	69	(	(	PUNCT
ajst-29611	3	70	cnn	cnn	PROPN
ajst-29611	3	71	-	-	PUNCT
ajst-29611	3	72	lstm	lstm	PROPN
ajst-29611	3	73	)	)	PUNCT
ajst-29611	3	74	,	,	PUNCT
ajst-29611	3	75	and	and	CCONJ
ajst-29611	3	76	sparrow	sparrow	NOUN
ajst-29611	3	77	search	search	NOUN
ajst-29611	3	78	algorithm	algorithm	NOUN
ajst-29611	3	79	-	-	PUNCT
ajst-29611	3	80	optimized	optimize	VERB
ajst-29611	3	81	support	support	NOUN
ajst-29611	3	82	vector	vector	NOUN
ajst-29611	3	83	regression	regression	NOUN
ajst-29611	3	84	(	(	PUNCT
ajst-29611	3	85	ssasvr	ssasvr	ADV
ajst-29611	3	86	)	)	PUNCT
ajst-29611	3	87	is	be	AUX
ajst-29611	3	88	proposed	propose	VERB
ajst-29611	3	89	.	.	PUNCT
ajst-29611	4	1	initially	initially	ADV
ajst-29611	4	2	,	,	PUNCT
ajst-29611	4	3	vmd	vmd	PROPN
ajst-29611	4	4	adaptively	adaptively	ADV
ajst-29611	4	5	decomposes	decompose	VERB
ajst-29611	4	6	the	the	DET
ajst-29611	4	7	original	original	ADJ
ajst-29611	4	8	time	time	NOUN
ajst-29611	4	9	series	series	NOUN
ajst-29611	4	10	into	into	ADP
ajst-29611	4	11	a	a	DET
ajst-29611	4	12	series	series	NOUN
ajst-29611	4	13	of	of	ADP
ajst-29611	4	14	intrinsic	intrinsic	ADJ
ajst-29611	4	15	mode	mode	NOUN
ajst-29611	4	16	functions	function	NOUN
ajst-29611	4	17	,	,	PUNCT
ajst-29611	4	18	followed	follow	VERB
ajst-29611	4	19	by	by	ADP
ajst-29611	4	20	assessing	assess	VERB
ajst-29611	4	21	each	each	DET
ajst-29611	4	22	mode	mode	NOUN
ajst-29611	4	23	’s	’s	PART
ajst-29611	4	24	complexity	complexity	NOUN
ajst-29611	4	25	via	via	ADP
ajst-29611	4	26	permutation	permutation	NOUN
ajst-29611	4	27	entropy	entropy	NOUN
ajst-29611	4	28	for	for	ADP
ajst-29611	4	29	precise	precise	ADJ
ajst-29611	4	30	feature	feature	NOUN
ajst-29611	4	31	delineation	delineation	NOUN
ajst-29611	4	32	.	.	PUNCT
ajst-29611	5	1	cnn	cnn	PROPN
ajst-29611	5	2	-	-	PUNCT
ajst-29611	5	3	lstm	lstm	PROPN
ajst-29611	5	4	is	be	AUX
ajst-29611	5	5	then	then	ADV
ajst-29611	5	6	applied	apply	VERB
ajst-29611	5	7	to	to	PART
ajst-29611	5	8	capture	capture	VERB
ajst-29611	5	9	deep	deep	ADJ
ajst-29611	5	10	spatiotemporal	spatiotemporal	ADJ
ajst-29611	5	11	features	feature	NOUN
ajst-29611	5	12	of	of	ADP
ajst-29611	5	13	highly	highly	ADV
ajst-29611	5	14	complex	complex	ADJ
ajst-29611	5	15	components	component	NOUN
ajst-29611	5	16	,	,	PUNCT
ajst-29611	5	17	while	while	SCONJ
ajst-29611	5	18	ssa	ssa	NOUN
ajst-29611	5	19	-	-	PUNCT
ajst-29611	5	20	svr	svr	PROPN
ajst-29611	5	21	effectively	effectively	ADV
ajst-29611	5	22	predicts	predict	VERB
ajst-29611	5	23	lowercomplexity	lowercomplexity	NOUN
ajst-29611	5	24	components	component	NOUN
ajst-29611	5	25	through	through	ADP
ajst-29611	5	26	regression	regression	NOUN
ajst-29611	5	27	.	.	PUNCT
ajst-29611	6	1	ultimately	ultimately	ADV
ajst-29611	6	2	,	,	PUNCT
ajst-29611	6	3	the	the	DET
ajst-29611	6	4	predictions	prediction	NOUN
ajst-29611	6	5	are	be	AUX
ajst-29611	6	6	linearly	linearly	ADV
ajst-29611	6	7	combined	combine	VERB
ajst-29611	6	8	to	to	PART
ajst-29611	6	9	determine	determine	VERB
ajst-29611	6	10	cbm	cbm	PROPN
ajst-29611	6	11	wells	wells	PROPN
ajst-29611	6	12	'	'	PART
ajst-29611	6	13	daily	daily	ADJ
ajst-29611	6	14	gas	gas	NOUN
ajst-29611	6	15	production	production	NOUN
ajst-29611	6	16	.	.	PUNCT
ajst-29611	7	1	comparative	comparative	ADJ
ajst-29611	7	2	experiments	experiment	NOUN
ajst-29611	7	3	reveal	reveal	VERB
ajst-29611	7	4	that	that	SCONJ
ajst-29611	7	5	the	the	DET
ajst-29611	7	6	proposed	propose	VERB
ajst-29611	7	7	model	model	NOUN
ajst-29611	7	8	attains	attain	NOUN
ajst-29611	7	9	a	a	DET
ajst-29611	7	10	mean	mean	ADJ
ajst-29611	7	11	absolute	absolute	ADJ
ajst-29611	7	12	error	error	NOUN
ajst-29611	7	13	(	(	PUNCT
ajst-29611	7	14	mae	mae	PROPN
ajst-29611	7	15	)	)	PUNCT
ajst-29611	7	16	of	of	ADP
ajst-29611	7	17	1.5158	1.5158	NUM
ajst-29611	7	18	,	,	PUNCT
ajst-29611	7	19	root	root	NOUN
ajst-29611	7	20	mean	mean	VERB
ajst-29611	7	21	square	square	ADJ
ajst-29611	7	22	error	error	NOUN
ajst-29611	7	23	(	(	PUNCT
ajst-29611	7	24	rmse	rmse	NOUN
ajst-29611	7	25	)	)	PUNCT
ajst-29611	7	26	of	of	ADP
ajst-29611	7	27	2.0608	2.0608	NUM
ajst-29611	7	28	,	,	PUNCT
ajst-29611	7	29	and	and	CCONJ
ajst-29611	7	30	coefficient	coefficient	NOUN
ajst-29611	7	31	of	of	ADP
ajst-29611	7	32	determination	determination	NOUN
ajst-29611	7	33	(	(	PUNCT
ajst-29611	7	34	r²	r²	NOUN
ajst-29611	7	35	)	)	PUNCT
ajst-29611	7	36	of	of	ADP
ajst-29611	7	37	0.9998	0.9998	NUM
ajst-29611	7	38	,	,	PUNCT
ajst-29611	7	39	outperforming	outperform	VERB
ajst-29611	7	40	other	other	ADJ
ajst-29611	7	41	commonly	commonly	ADV
ajst-29611	7	42	used	use	VERB
ajst-29611	7	43	models	model	NOUN
ajst-29611	7	44	in	in	ADP
ajst-29611	7	45	prediction	prediction	NOUN
ajst-29611	7	46	accuracy	accuracy	NOUN
ajst-29611	7	47	and	and	CCONJ
ajst-29611	7	48	generalization	generalization	NOUN
ajst-29611	7	49	capacity	capacity	NOUN
ajst-29611	7	50	.	.	PUNCT
ajst-29611	8	1	this	this	DET
ajst-29611	8	2	framework	framework	NOUN
ajst-29611	8	3	presents	present	VERB
ajst-29611	8	4	an	an	DET
ajst-29611	8	5	enhanced	enhanced	ADJ
ajst-29611	8	6	model	model	NOUN
ajst-29611	8	7	structure	structure	NOUN
ajst-29611	8	8	for	for	ADP
ajst-29611	8	9	cbm	cbm	PROPN
ajst-29611	8	10	daily	daily	PROPN
ajst-29611	8	11	production	production	NOUN
ajst-29611	8	12	forecasting	forecasting	NOUN
ajst-29611	8	13	.	.	PUNCT
ajst-29611	9	1	keywords	keyword	NOUN
ajst-29611	9	2	:	:	PUNCT
ajst-29611	9	3	cbm	cbm	PROPN
ajst-29611	9	4	well	well	INTJ
ajst-29611	9	5	daily	daily	ADJ
ajst-29611	9	6	gas	gas	NOUN
ajst-29611	9	7	production	production	NOUN
ajst-29611	9	8	forecasting	forecasting	NOUN
ajst-29611	9	9	;	;	PUNCT
ajst-29611	9	10	hybrid	hybrid	ADJ
ajst-29611	9	11	model	model	NOUN
ajst-29611	9	12	;	;	PUNCT
ajst-29611	9	13	time	time	NOUN
ajst-29611	9	14	series	series	NOUN
ajst-29611	9	15	;	;	PUNCT
ajst-29611	9	16	variational	variational	ADJ
ajst-29611	9	17	mode	mode	NOUN
ajst-29611	9	18	decomposition	decomposition	NOUN
ajst-29611	9	19	.	.	PUNCT
ajst-29611	10	1	1	1	X
ajst-29611	10	2	.	.	X
ajst-29611	10	3	introduction	introduction	NOUN
ajst-29611	10	4	the	the	DET
ajst-29611	10	5	prediction	prediction	NOUN
ajst-29611	10	6	of	of	ADP
ajst-29611	10	7	gas	gas	NOUN
ajst-29611	10	8	production	production	NOUN
ajst-29611	10	9	in	in	ADP
ajst-29611	10	10	coalbed	coalbe	VERB
ajst-29611	10	11	methane	methane	NOUN
ajst-29611	10	12	(	(	PUNCT
ajst-29611	10	13	cbm	cbm	PROPN
ajst-29611	10	14	)	)	PUNCT
ajst-29611	10	15	wells	wells	PROPN
ajst-29611	10	16	serves	serve	VERB
ajst-29611	10	17	as	as	ADP
ajst-29611	10	18	a	a	DET
ajst-29611	10	19	fundamental	fundamental	ADJ
ajst-29611	10	20	basis	basis	NOUN
ajst-29611	10	21	for	for	ADP
ajst-29611	10	22	comprehensively	comprehensively	ADV
ajst-29611	10	23	evaluating	evaluate	VERB
ajst-29611	10	24	the	the	DET
ajst-29611	10	25	productive	productive	ADJ
ajst-29611	10	26	capacity	capacity	NOUN
ajst-29611	10	27	of	of	ADP
ajst-29611	10	28	coal	coal	NOUN
ajst-29611	10	29	reservoirs	reservoir	NOUN
ajst-29611	10	30	and	and	CCONJ
ajst-29611	10	31	the	the	DET
ajst-29611	10	32	efficacy	efficacy	NOUN
ajst-29611	10	33	of	of	ADP
ajst-29611	10	34	extraction	extraction	NOUN
ajst-29611	10	35	techniques	technique	NOUN
ajst-29611	10	36	.	.	PUNCT
ajst-29611	11	1	high	high	ADJ
ajst-29611	11	2	-	-	PUNCT
ajst-29611	11	3	precision	precision	NOUN
ajst-29611	11	4	forecasting	forecasting	NOUN
ajst-29611	11	5	not	not	PART
ajst-29611	11	6	only	only	ADV
ajst-29611	11	7	underpins	underpin	VERB
ajst-29611	11	8	the	the	DET
ajst-29611	11	9	scientific	scientific	ADJ
ajst-29611	11	10	development	development	NOUN
ajst-29611	11	11	of	of	ADP
ajst-29611	11	12	extraction	extraction	NOUN
ajst-29611	11	13	protocols	protocol	NOUN
ajst-29611	11	14	but	but	CCONJ
ajst-29611	11	15	also	also	ADV
ajst-29611	11	16	facilitates	facilitate	VERB
ajst-29611	11	17	outcome	outcome	VERB
ajst-29611	11	18	predictions	prediction	NOUN
ajst-29611	11	19	for	for	ADP
ajst-29611	11	20	lowyield	lowyield	ADJ
ajst-29611	11	21	wells	well	NOUN
ajst-29611	11	22	following	follow	VERB
ajst-29611	11	23	modification	modification	NOUN
ajst-29611	11	24	,	,	PUNCT
ajst-29611	11	25	thus	thus	ADV
ajst-29611	11	26	offering	offer	VERB
ajst-29611	11	27	valuable	valuable	ADJ
ajst-29611	11	28	guidance	guidance	NOUN
ajst-29611	11	29	for	for	ADP
ajst-29611	11	30	the	the	DET
ajst-29611	11	31	effective	effective	ADJ
ajst-29611	11	32	management	management	NOUN
ajst-29611	11	33	of	of	ADP
ajst-29611	11	34	cbm	cbm	PROPN
ajst-29611	11	35	well	well	PROPN
ajst-29611	11	36	production[1	production[1	PROPN
ajst-29611	11	37	]	]	PUNCT
ajst-29611	11	38	.	.	PUNCT
ajst-29611	12	1	the	the	DET
ajst-29611	12	2	intricate	intricate	ADJ
ajst-29611	12	3	characteristics	characteristic	NOUN
ajst-29611	12	4	of	of	ADP
ajst-29611	12	5	cbm	cbm	PROPN
ajst-29611	12	6	reservoirs	reservoir	NOUN
ajst-29611	12	7	,	,	PUNCT
ajst-29611	12	8	coupled	couple	VERB
ajst-29611	12	9	with	with	ADP
ajst-29611	12	10	the	the	DET
ajst-29611	12	11	influence	influence	NOUN
ajst-29611	12	12	of	of	ADP
ajst-29611	12	13	extraction	extraction	NOUN
ajst-29611	12	14	protocols	protocol	NOUN
ajst-29611	12	15	,	,	PUNCT
ajst-29611	12	16	pose	pose	VERB
ajst-29611	12	17	challenges	challenge	NOUN
ajst-29611	12	18	for	for	ADP
ajst-29611	12	19	traditional	traditional	ADJ
ajst-29611	12	20	mechanistic	mechanistic	ADJ
ajst-29611	12	21	models[2][3	models[2][3	PROPN
ajst-29611	12	22	]	]	X
ajst-29611	12	23	,	,	PUNCT
ajst-29611	12	24	such	such	ADJ
ajst-29611	12	25	as	as	ADP
ajst-29611	12	26	modeling	model	VERB
ajst-29611	12	27	difficulties	difficulty	NOUN
ajst-29611	12	28	and	and	CCONJ
ajst-29611	12	29	limited	limited	ADJ
ajst-29611	12	30	stability	stability	NOUN
ajst-29611	12	31	,	,	PUNCT
ajst-29611	12	32	which	which	PRON
ajst-29611	12	33	significantly	significantly	ADV
ajst-29611	12	34	restrict	restrict	VERB
ajst-29611	12	35	their	their	PRON
ajst-29611	12	36	practical	practical	ADJ
ajst-29611	12	37	application[4	application[4	NOUN
ajst-29611	12	38	]	]	PUNCT
ajst-29611	12	39	.	.	PUNCT
ajst-29611	13	1	in	in	ADP
ajst-29611	13	2	recent	recent	ADJ
ajst-29611	13	3	years	year	NOUN
ajst-29611	13	4	,	,	PUNCT
ajst-29611	13	5	the	the	DET
ajst-29611	13	6	use	use	NOUN
ajst-29611	13	7	of	of	ADP
ajst-29611	13	8	artificial	artificial	ADJ
ajst-29611	13	9	intelligence	intelligence	NOUN
ajst-29611	13	10	models	model	NOUN
ajst-29611	13	11	for	for	ADP
ajst-29611	13	12	predicting	predict	VERB
ajst-29611	13	13	cbm	cbm	PROPN
ajst-29611	13	14	well	well	PROPN
ajst-29611	13	15	production	production	NOUN
ajst-29611	13	16	has	have	AUX
ajst-29611	13	17	gained	gain	VERB
ajst-29611	13	18	considerable	considerable	ADJ
ajst-29611	13	19	attention	attention	NOUN
ajst-29611	13	20	.	.	PUNCT
ajst-29611	14	1	wu	wu	PROPN
ajst-29611	14	2	caifang	caifang	PROPN
ajst-29611	14	3	et	et	PROPN
ajst-29611	14	4	al	al	PROPN
ajst-29611	14	5	.	.	PUNCT
ajst-29611	15	1	[	[	X
ajst-29611	15	2	5	5	NUM
ajst-29611	15	3	]	]	PUNCT
ajst-29611	15	4	applied	apply	VERB
ajst-29611	15	5	a	a	DET
ajst-29611	15	6	bp	bp	PROPN
ajst-29611	15	7	neural	neural	ADJ
ajst-29611	15	8	network	network	NOUN
ajst-29611	15	9	to	to	PART
ajst-29611	15	10	forecast	forecast	VERB
ajst-29611	15	11	cbm	cbm	PROPN
ajst-29611	15	12	well	well	PROPN
ajst-29611	15	13	productivity	productivity	NOUN
ajst-29611	15	14	,	,	PUNCT
ajst-29611	15	15	accurately	accurately	ADV
ajst-29611	15	16	predicting	predict	VERB
ajst-29611	15	17	gas	gas	NOUN
ajst-29611	15	18	production	production	NOUN
ajst-29611	15	19	for	for	ADP
ajst-29611	15	20	the	the	DET
ajst-29611	15	21	subsequent	subsequent	ADJ
ajst-29611	15	22	seven	seven	NUM
ajst-29611	15	23	days	day	NOUN
ajst-29611	15	24	and	and	CCONJ
ajst-29611	15	25	optimizing	optimize	VERB
ajst-29611	15	26	extraction	extraction	NOUN
ajst-29611	15	27	protocols	protocol	NOUN
ajst-29611	15	28	accordingly	accordingly	ADV
ajst-29611	15	29	.	.	PUNCT
ajst-29611	16	1	dong	dong	PROPN
ajst-29611	16	2	weiqiang	weiqiang	PROPN
ajst-29611	16	3	et	et	PROPN
ajst-29611	16	4	al.[6	al.[6	PROPN
ajst-29611	16	5	]	]	PUNCT
ajst-29611	16	6	utilized	utilize	VERB
ajst-29611	16	7	a	a	DET
ajst-29611	16	8	long	long	ADJ
ajst-29611	16	9	shortterm	shortterm	NOUN
ajst-29611	16	10	memory	memory	NOUN
ajst-29611	16	11	(	(	PUNCT
ajst-29611	16	12	lstm	lstm	NOUN
ajst-29611	16	13	)	)	PUNCT
ajst-29611	16	14	network	network	NOUN
ajst-29611	16	15	to	to	PART
ajst-29611	16	16	uncover	uncover	VERB
ajst-29611	16	17	the	the	DET
ajst-29611	16	18	latent	latent	ADJ
ajst-29611	16	19	dynamic	dynamic	ADJ
ajst-29611	16	20	relationships	relationship	NOUN
ajst-29611	16	21	within	within	ADP
ajst-29611	16	22	extraction	extraction	NOUN
ajst-29611	16	23	data	datum	NOUN
ajst-29611	16	24	,	,	PUNCT
ajst-29611	16	25	achieving	achieve	VERB
ajst-29611	16	26	favorable	favorable	ADJ
ajst-29611	16	27	fitting	fitting	ADJ
ajst-29611	16	28	results	result	NOUN
ajst-29611	16	29	.	.	PUNCT
ajst-29611	17	1	given	give	VERB
ajst-29611	17	2	the	the	DET
ajst-29611	17	3	highly	highly	ADV
ajst-29611	17	4	nonlinear	nonlinear	ADJ
ajst-29611	17	5	and	and	CCONJ
ajst-29611	17	6	nonstationary	nonstationary	ADJ
ajst-29611	17	7	characteristics	characteristic	NOUN
ajst-29611	17	8	of	of	ADP
ajst-29611	17	9	cbm	cbm	PROPN
ajst-29611	17	10	extraction	extraction	NOUN
ajst-29611	17	11	data	data	VERB
ajst-29611	17	12	series，the	series，the	DET
ajst-29611	17	13	predictive	predictive	ADJ
ajst-29611	17	14	performance	performance	NOUN
ajst-29611	17	15	of	of	ADP
ajst-29611	17	16	single	single	ADJ
ajst-29611	17	17	models	model	NOUN
ajst-29611	17	18	is	be	AUX
ajst-29611	17	19	often	often	ADV
ajst-29611	17	20	inadequate	inadequate	ADJ
ajst-29611	17	21	.	.	PUNCT
ajst-29611	18	1	consequently	consequently	ADV
ajst-29611	18	2	,	,	PUNCT
ajst-29611	18	3	some	some	DET
ajst-29611	18	4	researchers	researcher	NOUN
ajst-29611	18	5	have	have	AUX
ajst-29611	18	6	introduced	introduce	VERB
ajst-29611	18	7	hybrid	hybrid	NOUN
ajst-29611	18	8	models	model	NOUN
ajst-29611	18	9	that	that	PRON
ajst-29611	18	10	integrate	integrate	VERB
ajst-29611	18	11	multiple	multiple	ADJ
ajst-29611	18	12	methods	method	NOUN
ajst-29611	18	13	to	to	PART
ajst-29611	18	14	enhance	enhance	VERB
ajst-29611	18	15	prediction	prediction	NOUN
ajst-29611	18	16	accuracy	accuracy	NOUN
ajst-29611	18	17	.	.	PUNCT
ajst-29611	19	1	ma	ma	PROPN
ajst-29611	19	2	x	x	PUNCT
ajst-29611	19	3	et	et	PROPN
ajst-29611	19	4	al	al	PROPN
ajst-29611	19	5	.	.	PUNCT
ajst-29611	20	1	[	[	X
ajst-29611	20	2	7]proposed	7]propose	VERB
ajst-29611	20	3	a	a	DET
ajst-29611	20	4	hybrid	hybrid	PROPN
ajst-29611	20	5	gru	gru	PROPN
ajst-29611	20	6	-	-	PROPN
ajst-29611	20	7	mlp	mlp	PROPN
ajst-29611	20	8	neural	neural	ADJ
ajst-29611	20	9	network	network	NOUN
ajst-29611	20	10	model	model	NOUN
ajst-29611	20	11	,	,	PUNCT
ajst-29611	20	12	which	which	PRON
ajst-29611	20	13	accurately	accurately	ADV
ajst-29611	20	14	predicts	predict	VERB
ajst-29611	20	15	shale	shale	NOUN
ajst-29611	20	16	gas	gas	NOUN
ajst-29611	20	17	production	production	NOUN
ajst-29611	20	18	by	by	ADP
ajst-29611	20	19	capturing	capture	VERB
ajst-29611	20	20	the	the	DET
ajst-29611	20	21	sequential	sequential	ADJ
ajst-29611	20	22	dependencies	dependency	NOUN
ajst-29611	20	23	in	in	ADP
ajst-29611	20	24	production	production	NOUN
ajst-29611	20	25	data	datum	NOUN
ajst-29611	20	26	and	and	CCONJ
ajst-29611	20	27	the	the	DET
ajst-29611	20	28	nonlinear	nonlinear	ADJ
ajst-29611	20	29	relationships	relationship	NOUN
ajst-29611	20	30	with	with	ADP
ajst-29611	20	31	physical	physical	ADJ
ajst-29611	20	32	constraints	constraint	NOUN
ajst-29611	20	33	.	.	PUNCT
ajst-29611	21	1	zhao	zhao	PROPN
ajst-29611	21	2	haifeng	haifeng	PROPN
ajst-29611	21	3	et	et	PROPN
ajst-29611	21	4	al	al	PROPN
ajst-29611	21	5	.	.	PUNCT
ajst-29611	22	1	[	[	X
ajst-29611	22	2	8	8	NUM
ajst-29611	22	3	]	]	PUNCT
ajst-29611	22	4	implemented	implement	VERB
ajst-29611	22	5	an	an	DET
ajst-29611	22	6	attentionbased	attentionbase	VERB
ajst-29611	22	7	convolutional	convolutional	ADJ
ajst-29611	22	8	neural	neural	ADJ
ajst-29611	22	9	network	network	NOUN
ajst-29611	22	10	-	-	PUNCT
ajst-29611	22	11	gated	gate	VERB
ajst-29611	22	12	recurrent	recurrent	ADJ
ajst-29611	22	13	unit	unit	NOUN
ajst-29611	22	14	(	(	PUNCT
ajst-29611	22	15	cnn	cnn	PROPN
ajst-29611	22	16	-	-	PUNCT
ajst-29611	22	17	gru	gru	NOUN
ajst-29611	22	18	)	)	PUNCT
ajst-29611	22	19	model	model	NOUN
ajst-29611	22	20	to	to	PART
ajst-29611	22	21	overcome	overcome	VERB
ajst-29611	22	22	the	the	DET
ajst-29611	22	23	limitations	limitation	NOUN
ajst-29611	22	24	of	of	ADP
ajst-29611	22	25	traditional	traditional	ADJ
ajst-29611	22	26	methods	method	NOUN
ajst-29611	22	27	,	,	PUNCT
ajst-29611	22	28	which	which	PRON
ajst-29611	22	29	struggle	struggle	VERB
ajst-29611	22	30	with	with	ADP
ajst-29611	22	31	nonlinearity	nonlinearity	NOUN
ajst-29611	22	32	,	,	PUNCT
ajst-29611	22	33	temporal	temporal	ADJ
ajst-29611	22	34	dependency	dependency	NOUN
ajst-29611	22	35	,	,	PUNCT
ajst-29611	22	36	and	and	CCONJ
ajst-29611	22	37	information	information	NOUN
ajst-29611	22	38	loss	loss	NOUN
ajst-29611	22	39	in	in	ADP
ajst-29611	22	40	cbm	cbm	PROPN
ajst-29611	22	41	productivity	productivity	PROPN
ajst-29611	22	42	forecasting	forecasting	NOUN
ajst-29611	22	43	.	.	PUNCT
ajst-29611	23	1	to	to	PART
ajst-29611	23	2	further	far	ADV
ajst-29611	23	3	improve	improve	VERB
ajst-29611	23	4	prediction	prediction	NOUN
ajst-29611	23	5	accuracy	accuracy	NOUN
ajst-29611	23	6	,	,	PUNCT
ajst-29611	23	7	modal	modal	ADJ
ajst-29611	23	8	decomposition	decomposition	NOUN
ajst-29611	23	9	techniques	technique	NOUN
ajst-29611	23	10	have	have	AUX
ajst-29611	23	11	been	be	AUX
ajst-29611	23	12	applied	apply	VERB
ajst-29611	23	13	to	to	PART
ajst-29611	23	14	handle	handle	VERB
ajst-29611	23	15	nonstationary	nonstationary	ADJ
ajst-29611	23	16	and	and	CCONJ
ajst-29611	23	17	nonlinear	nonlinear	ADJ
ajst-29611	23	18	time	time	NOUN
ajst-29611	23	19	series	series	PROPN
ajst-29611	23	20	.	.	PUNCT
ajst-29611	24	1	data	datum	NOUN
ajst-29611	24	2	decomposition	decomposition	NOUN
ajst-29611	24	3	techniques	technique	NOUN
ajst-29611	24	4	such	such	ADJ
ajst-29611	24	5	as	as	ADP
ajst-29611	24	6	empirical	empirical	ADJ
ajst-29611	24	7	mode	mode	NOUN
ajst-29611	24	8	decomposition	decomposition	NOUN
ajst-29611	24	9	(	(	PUNCT
ajst-29611	24	10	emd	emd	PROPN
ajst-29611	24	11	)	)	PUNCT
ajst-29611	24	12	,	,	PUNCT
ajst-29611	24	13	complete	complete	ADJ
ajst-29611	24	14	ensemble	ensemble	ADJ
ajst-29611	24	15	empirical	empirical	ADJ
ajst-29611	24	16	mode	mode	NOUN
ajst-29611	24	17	decomposition	decomposition	NOUN
ajst-29611	24	18	with	with	ADP
ajst-29611	24	19	adaptive	adaptive	ADJ
ajst-29611	24	20	noise	noise	NOUN
ajst-29611	24	21	(	(	PUNCT
ajst-29611	24	22	ceemdan	ceemdan	PROPN
ajst-29611	24	23	)	)	PUNCT
ajst-29611	24	24	,	,	PUNCT
ajst-29611	24	25	and	and	CCONJ
ajst-29611	24	26	variational	variational	ADJ
ajst-29611	24	27	mode	mode	NOUN
ajst-29611	24	28	decomposition	decomposition	NOUN
ajst-29611	24	29	(	(	PUNCT
ajst-29611	24	30	vmd	vmd	NOUN
ajst-29611	24	31	)	)	PUNCT
ajst-29611	24	32	enabling	enable	VERB
ajst-29611	24	33	the	the	DET
ajst-29611	24	34	extraction	extraction	NOUN
ajst-29611	24	35	of	of	ADP
ajst-29611	24	36	critical	critical	ADJ
ajst-29611	24	37	features	feature	NOUN
ajst-29611	24	38	from	from	ADP
ajst-29611	24	39	the	the	DET
ajst-29611	24	40	original	original	ADJ
ajst-29611	24	41	sequence	sequence	NOUN
ajst-29611	24	42	and	and	CCONJ
ajst-29611	24	43	thus	thus	ADV
ajst-29611	24	44	optimizing	optimize	VERB
ajst-29611	24	45	hybrid	hybrid	ADJ
ajst-29611	24	46	time	time	NOUN
ajst-29611	24	47	series	series	NOUN
ajst-29611	24	48	models	model	NOUN
ajst-29611	24	49	.	.	PUNCT
ajst-29611	25	1	liu	liu	PROPN
ajst-29611	25	2	et	et	PROPN
ajst-29611	25	3	al	al	PROPN
ajst-29611	25	4	.	.	PUNCT
ajst-29611	26	1	[	[	X
ajst-29611	26	2	9]utilized	9]utilize	VERB
ajst-29611	26	3	the	the	DET
ajst-29611	26	4	eemd	eemd	NOUN
ajst-29611	26	5	to	to	PART
ajst-29611	26	6	decompose	decompose	VERB
ajst-29611	26	7	the	the	DET
ajst-29611	26	8	original	original	ADJ
ajst-29611	26	9	oil	oil	NOUN
ajst-29611	26	10	and	and	CCONJ
ajst-29611	26	11	gas	gas	NOUN
ajst-29611	26	12	production	production	NOUN
ajst-29611	26	13	series	series	NOUN
ajst-29611	26	14	into	into	ADP
ajst-29611	26	15	multiple	multiple	ADJ
ajst-29611	26	16	subsequences	subsequence	NOUN
ajst-29611	26	17	,	,	PUNCT
ajst-29611	26	18	effectively	effectively	ADV
ajst-29611	26	19	addressing	address	VERB
ajst-29611	26	20	the	the	DET
ajst-29611	26	21	mode	mode	NOUN
ajst-29611	26	22	mixing	mix	VERB
ajst-29611	26	23	issue	issue	NOUN
ajst-29611	26	24	inherent	inherent	ADJ
ajst-29611	26	25	in	in	ADP
ajst-29611	26	26	the	the	DET
ajst-29611	26	27	emd	emd	PROPN
ajst-29611	26	28	method	method	NOUN
ajst-29611	26	29	.	.	PUNCT
ajst-29611	27	1	by	by	ADP
ajst-29611	27	2	combining	combine	VERB
ajst-29611	27	3	eemd	eemd	PROPN
ajst-29611	27	4	with	with	ADP
ajst-29611	27	5	lstm	lstm	PROPN
ajst-29611	27	6	,	,	PUNCT
ajst-29611	27	7	this	this	DET
ajst-29611	27	8	approach	approach	NOUN
ajst-29611	27	9	provides	provide	VERB
ajst-29611	27	10	rapid	rapid	ADJ
ajst-29611	27	11	and	and	CCONJ
ajst-29611	27	12	accurate	accurate	ADJ
ajst-29611	27	13	oil	oil	NOUN
ajst-29611	27	14	and	and	CCONJ
ajst-29611	27	15	gas	gas	NOUN
ajst-29611	27	16	production	production	NOUN
ajst-29611	27	17	forecasts	forecast	NOUN
ajst-29611	27	18	while	while	SCONJ
ajst-29611	27	19	avoiding	avoid	VERB
ajst-29611	27	20	the	the	DET
ajst-29611	27	21	reliance	reliance	NOUN
ajst-29611	27	22	of	of	ADP
ajst-29611	27	23	traditional	traditional	ADJ
ajst-29611	27	24	methods	method	NOUN
ajst-29611	27	25	on	on	ADP
ajst-29611	27	26	high	high	ADJ
ajst-29611	27	27	-	-	PUNCT
ajst-29611	27	28	quality	quality	NOUN
ajst-29611	27	29	historical	historical	ADJ
ajst-29611	27	30	matching	matching	NOUN
ajst-29611	27	31	and	and	CCONJ
ajst-29611	27	32	precise	precise	ADJ
ajst-29611	27	33	geological	geological	ADJ
ajst-29611	27	34	models	model	NOUN
ajst-29611	27	35	.	.	PUNCT
ajst-29611	28	1	ceemdan	ceemdan	PROPN
ajst-29611	28	2	and	and	CCONJ
ajst-29611	28	3	eemd	eemd	PROPN
ajst-29611	28	4	are	be	AUX
ajst-29611	28	5	refined	refine	VERB
ajst-29611	28	6	emd	emd	PROPN
ajst-29611	28	7	methods	method	NOUN
ajst-29611	28	8	,	,	PUNCT
ajst-29611	28	9	with	with	ADP
ajst-29611	28	10	ceemdan	ceemdan	PROPN
ajst-29611	28	11	offering	offer	VERB
ajst-29611	28	12	superior	superior	ADJ
ajst-29611	28	13	noise	noise	NOUN
ajst-29611	28	14	suppression	suppression	NOUN
ajst-29611	28	15	and	and	CCONJ
ajst-29611	28	16	improved	improve	VERB
ajst-29611	28	17	mode	mode	NOUN
ajst-29611	28	18	decomposition	decomposition	NOUN
ajst-29611	28	19	.	.	PUNCT
ajst-29611	29	1	zhao	zhao	NOUN
ajst-29611	29	2	xingyu	xingyu	X
ajst-29611	29	3	et	et	PROPN
ajst-29611	29	4	al	al	PROPN
ajst-29611	29	5	.	.	PUNCT
ajst-29611	30	1	[	[	X
ajst-29611	30	2	10	10	NUM
ajst-29611	30	3	]	]	PUNCT
ajst-29611	30	4	applied	apply	VERB
ajst-29611	30	5	complete	complete	ADJ
ajst-29611	30	6	ensemble	ensemble	ADJ
ajst-29611	30	7	empirical	empirical	ADJ
ajst-29611	30	8	mode	mode	NOUN
ajst-29611	30	9	decomposition	decomposition	NOUN
ajst-29611	30	10	with	with	ADP
ajst-29611	30	11	adaptive	adaptive	ADJ
ajst-29611	30	12	noise	noise	NOUN
ajst-29611	30	13	(	(	PUNCT
ajst-29611	30	14	ceemdan	ceemdan	PROPN
ajst-29611	30	15	)	)	PUNCT
ajst-29611	30	16	to	to	PART
ajst-29611	30	17	simplify	simplify	VERB
ajst-29611	30	18	raw	raw	ADJ
ajst-29611	30	19	data	datum	NOUN
ajst-29611	30	20	complexity，and	complexity，and	NUM
ajst-29611	30	21	established	establish	VERB
ajst-29611	30	22	a	a	DET
ajst-29611	30	23	short	short	ADJ
ajst-29611	30	24	-	-	PUNCT
ajst-29611	30	25	term	term	NOUN
ajst-29611	30	26	electricity	electricity	NOUN
ajst-29611	30	27	load	load	NOUN
ajst-29611	30	28	forecasting	forecasting	NOUN
ajst-29611	30	29	model	model	NOUN
ajst-29611	30	30	through	through	ADP
ajst-29611	30	31	a	a	DET
ajst-29611	30	32	temporal	temporal	ADJ
ajst-29611	30	33	convolutional	convolutional	ADJ
ajst-29611	30	34	network	network	NOUN
ajst-29611	30	35	-	-	PUNCT
ajst-29611	30	36	long	long	ADJ
ajst-29611	30	37	short	short	ADJ
ajst-29611	30	38	-	-	PUNCT
ajst-29611	30	39	term	term	NOUN
ajst-29611	30	40	memory	memory	NOUN
ajst-29611	30	41	(	(	PUNCT
ajst-29611	30	42	tcnlstm	tcnlstm	NOUN
ajst-29611	30	43	)	)	PUNCT
ajst-29611	30	44	model，achieving	model，achieve	VERB
ajst-29611	30	45	more	more	ADV
ajst-29611	30	46	precise	precise	ADJ
ajst-29611	30	47	load	load	NOUN
ajst-29611	30	48	data	datum	NOUN
ajst-29611	30	49	predictions	prediction	NOUN
ajst-29611	30	50	.	.	PUNCT
ajst-29611	31	1	nevertheless	nevertheless	ADV
ajst-29611	31	2	,	,	PUNCT
ajst-29611	31	3	existing	exist	VERB
ajst-29611	31	4	decomposition	decomposition	NOUN
ajst-29611	31	5	-	-	PUNCT
ajst-29611	31	6	based	base	VERB
ajst-29611	31	7	forecasting	forecasting	NOUN
ajst-29611	31	8	models	model	NOUN
ajst-29611	31	9	commonly	commonly	ADV
ajst-29611	31	10	rely	rely	VERB
ajst-29611	31	11	on	on	ADP
ajst-29611	31	12	conventional	conventional	ADJ
ajst-29611	31	13	decomposition	decomposition	NOUN
ajst-29611	31	14	methods	method	NOUN
ajst-29611	31	15	,	,	PUNCT
ajst-29611	31	16	which	which	PRON
ajst-29611	31	17	produce	produce	VERB
ajst-29611	31	18	an	an	DET
ajst-29611	31	19	unregulated	unregulated	ADJ
ajst-29611	31	20	number	number	NOUN
ajst-29611	31	21	of	of	ADP
ajst-29611	31	22	decomposition	decomposition	NOUN
ajst-29611	31	23	modes	mode	NOUN
ajst-29611	31	24	,	,	PUNCT
ajst-29611	31	25	potentially	potentially	ADV
ajst-29611	31	26	resulting	result	VERB
ajst-29611	31	27	in	in	ADP
ajst-29611	31	28	mode	mode	NOUN
ajst-29611	31	29	mixing	mixing	NOUN
ajst-29611	31	30	and	and	CCONJ
ajst-29611	31	31	pseudo	pseudo	NOUN
ajst-29611	31	32	-	-	ADJ
ajst-29611	31	33	mode	mode	ADJ
ajst-29611	31	34	issues	issue	NOUN
ajst-29611	31	35	that	that	PRON
ajst-29611	31	36	compromise	compromise	VERB
ajst-29611	31	37	prediction	prediction	NOUN
ajst-29611	31	38	accuracy[11	accuracy[11	ADP
ajst-29611	31	39	]	]	PUNCT
ajst-29611	31	40	.	.	PUNCT
ajst-29611	32	1	in	in	ADP
ajst-29611	32	2	contrast	contrast	NOUN
ajst-29611	32	3	,	,	PUNCT
ajst-29611	32	4	vmd	vmd	PROPN
ajst-29611	32	5	,	,	PUNCT
ajst-29611	32	6	as	as	ADP
ajst-29611	32	7	a	a	DET
ajst-29611	32	8	non	non	ADJ
ajst-29611	32	9	-	-	ADJ
ajst-29611	32	10	recursive	recursive	ADJ
ajst-29611	32	11	and	and	CCONJ
ajst-29611	32	12	adaptive	adaptive	ADJ
ajst-29611	32	13	decomposition	decomposition	NOUN
ajst-29611	32	14	method	method	NOUN
ajst-29611	32	15	,	,	PUNCT
ajst-29611	32	16	overcomes	overcome	VERB
ajst-29611	32	17	the	the	DET
ajst-29611	32	18	limitations	limitation	NOUN
ajst-29611	32	19	of	of	ADP
ajst-29611	32	20	the	the	DET
ajst-29611	32	21	recursive	recursive	ADJ
ajst-29611	32	22	solving	solving	NOUN
ajst-29611	32	23	process	process	NOUN
ajst-29611	32	24	in	in	ADP
ajst-29611	32	25	emd	emd	PROPN
ajst-29611	32	26	and	and	CCONJ
ajst-29611	32	27	offers	offer	VERB
ajst-29611	32	28	better	well	ADJ
ajst-29611	32	29	harmonic	harmonic	ADJ
ajst-29611	32	30	separation[12	separation[12	NOUN
ajst-29611	32	31	]	]	PUNCT
ajst-29611	32	32	.	.	PUNCT
ajst-29611	33	1	furthermore	furthermore	ADV
ajst-29611	33	2	,	,	PUNCT
ajst-29611	33	3	vmd	vmd	PROPN
ajst-29611	33	4	exhibits	exhibit	VERB
ajst-29611	33	5	enhanced	enhanced	ADJ
ajst-29611	33	6	robustness	robustness	NOUN
ajst-29611	33	7	in	in	ADP
ajst-29611	33	8	handling	handle	VERB
ajst-29611	33	9	noise	noise	NOUN
ajst-29611	33	10	and	and	CCONJ
ajst-29611	33	11	sampling	sample	VERB
ajst-29611	33	12	errors	error	NOUN
ajst-29611	33	13	.	.	PUNCT
ajst-29611	34	1	as	as	ADP
ajst-29611	34	2	a	a	DET
ajst-29611	34	3	result	result	NOUN
ajst-29611	34	4	,	,	PUNCT
ajst-29611	34	5	vmd	vmd	PROPN
ajst-29611	34	6	is	be	AUX
ajst-29611	34	7	better	well	ADV
ajst-29611	34	8	suited	suited	ADJ
ajst-29611	34	9	to	to	PART
ajst-29611	34	10	process	process	VERB
ajst-29611	34	11	the	the	DET
ajst-29611	34	12	complex	complex	ADJ
ajst-29611	34	13	,	,	PUNCT
ajst-29611	34	14	202	202	NUM
ajst-29611	34	15	multimodal	multimodal	NOUN
ajst-29611	34	16	oscillatory	oscillatory	ADJ
ajst-29611	34	17	signals	signal	NOUN
ajst-29611	34	18	present	present	ADJ
ajst-29611	34	19	in	in	ADP
ajst-29611	34	20	coalbed	coalbe	VERB
ajst-29611	34	21	methane	methane	NOUN
ajst-29611	34	22	production	production	NOUN
ajst-29611	34	23	data	datum	NOUN
ajst-29611	34	24	,	,	PUNCT
ajst-29611	34	25	effectively	effectively	ADV
ajst-29611	34	26	mitigating	mitigate	VERB
ajst-29611	34	27	the	the	DET
ajst-29611	34	28	mode	mode	NOUN
ajst-29611	34	29	mixing	mix	VERB
ajst-29611	34	30	issues	issue	NOUN
ajst-29611	34	31	that	that	PRON
ajst-29611	34	32	can	can	AUX
ajst-29611	34	33	arise	arise	VERB
ajst-29611	34	34	with	with	ADP
ajst-29611	34	35	emd	emd	PROPN
ajst-29611	34	36	.	.	PROPN
ajst-29611	35	1	in	in	ADP
ajst-29611	35	2	scenarios	scenario	NOUN
ajst-29611	35	3	characterized	characterize	VERB
ajst-29611	35	4	by	by	ADP
ajst-29611	35	5	high	high	ADJ
ajst-29611	35	6	noise	noise	NOUN
ajst-29611	35	7	levels	level	NOUN
ajst-29611	35	8	and	and	CCONJ
ajst-29611	35	9	intricate	intricate	ADJ
ajst-29611	35	10	signal	signal	NOUN
ajst-29611	35	11	patterns	pattern	NOUN
ajst-29611	35	12	,	,	PUNCT
ajst-29611	35	13	vmd	vmd	PROPN
ajst-29611	35	14	demonstrates	demonstrate	VERB
ajst-29611	35	15	greater	great	ADJ
ajst-29611	35	16	adaptability	adaptability	NOUN
ajst-29611	35	17	and	and	CCONJ
ajst-29611	35	18	stability	stability	NOUN
ajst-29611	35	19	,	,	PUNCT
ajst-29611	35	20	thereby	thereby	ADV
ajst-29611	35	21	enabling	enable	VERB
ajst-29611	35	22	more	more	ADV
ajst-29611	35	23	accurate	accurate	ADJ
ajst-29611	35	24	signal	signal	ADJ
ajst-29611	35	25	decomposition	decomposition	NOUN
ajst-29611	35	26	.	.	PUNCT
ajst-29611	36	1	this	this	DET
ajst-29611	36	2	study	study	NOUN
ajst-29611	36	3	proposes	propose	VERB
ajst-29611	36	4	a	a	DET
ajst-29611	36	5	method	method	NOUN
ajst-29611	36	6	for	for	ADP
ajst-29611	36	7	forecasting	forecast	VERB
ajst-29611	36	8	daily	daily	ADJ
ajst-29611	36	9	gas	gas	NOUN
ajst-29611	36	10	production	production	NOUN
ajst-29611	36	11	in	in	ADP
ajst-29611	36	12	cbm	cbm	PROPN
ajst-29611	36	13	wells	wells	PROPN
ajst-29611	36	14	,	,	PUNCT
ajst-29611	36	15	employing	employ	VERB
ajst-29611	36	16	variational	variational	ADJ
ajst-29611	36	17	mode	mode	NOUN
ajst-29611	36	18	decomposition	decomposition	NOUN
ajst-29611	36	19	(	(	PUNCT
ajst-29611	36	20	vmd	vmd	NOUN
ajst-29611	36	21	)	)	PUNCT
ajst-29611	36	22	combined	combine	VERB
ajst-29611	36	23	with	with	ADP
ajst-29611	36	24	a	a	DET
ajst-29611	36	25	hybrid	hybrid	ADJ
ajst-29611	36	26	time	time	NOUN
ajst-29611	36	27	series	series	PROPN
ajst-29611	36	28	model	model	PROPN
ajst-29611	36	29	.	.	PUNCT
ajst-29611	37	1	initially	initially	ADV
ajst-29611	37	2	,	,	PUNCT
ajst-29611	37	3	vmd	vmd	PROPN
ajst-29611	37	4	is	be	AUX
ajst-29611	37	5	utilized	utilize	VERB
ajst-29611	37	6	to	to	PART
ajst-29611	37	7	decompose	decompose	VERB
ajst-29611	37	8	the	the	DET
ajst-29611	37	9	original	original	ADJ
ajst-29611	37	10	daily	daily	ADJ
ajst-29611	37	11	production	production	NOUN
ajst-29611	37	12	data	datum	NOUN
ajst-29611	37	13	into	into	ADP
ajst-29611	37	14	multiple	multiple	ADJ
ajst-29611	37	15	intrinsic	intrinsic	ADJ
ajst-29611	37	16	mode	mode	NOUN
ajst-29611	37	17	functions	function	NOUN
ajst-29611	37	18	(	(	PUNCT
ajst-29611	37	19	imfs	imfs	NOUN
ajst-29611	37	20	)	)	PUNCT
ajst-29611	37	21	.	.	PUNCT
ajst-29611	38	1	subsequently	subsequently	ADV
ajst-29611	38	2	,	,	PUNCT
ajst-29611	38	3	an	an	DET
ajst-29611	38	4	optimal	optimal	ADJ
ajst-29611	38	5	predictive	predictive	ADJ
ajst-29611	38	6	model	model	NOUN
ajst-29611	38	7	for	for	ADP
ajst-29611	38	8	each	each	DET
ajst-29611	38	9	component	component	NOUN
ajst-29611	38	10	is	be	AUX
ajst-29611	38	11	selected	select	VERB
ajst-29611	38	12	based	base	VERB
ajst-29611	38	13	on	on	ADP
ajst-29611	38	14	its	its	PRON
ajst-29611	38	15	permutation	permutation	NOUN
ajst-29611	38	16	entropy	entropy	NOUN
ajst-29611	38	17	(	(	PUNCT
ajst-29611	38	18	pe	pe	NOUN
ajst-29611	38	19	)	)	PUNCT
ajst-29611	38	20	value	value	NOUN
ajst-29611	38	21	.	.	PUNCT
ajst-29611	39	1	finally	finally	ADV
ajst-29611	39	2	,	,	PUNCT
ajst-29611	39	3	the	the	DET
ajst-29611	39	4	individual	individual	ADJ
ajst-29611	39	5	predictions	prediction	NOUN
ajst-29611	39	6	for	for	ADP
ajst-29611	39	7	each	each	DET
ajst-29611	39	8	component	component	NOUN
ajst-29611	39	9	are	be	AUX
ajst-29611	39	10	integrated	integrate	VERB
ajst-29611	39	11	to	to	PART
ajst-29611	39	12	produce	produce	VERB
ajst-29611	39	13	a	a	DET
ajst-29611	39	14	more	more	ADV
ajst-29611	39	15	accurate	accurate	ADJ
ajst-29611	39	16	forecast	forecast	NOUN
ajst-29611	39	17	of	of	ADP
ajst-29611	39	18	daily	daily	PROPN
ajst-29611	39	19	cbm	cbm	PROPN
ajst-29611	39	20	well	well	PROPN
ajst-29611	39	21	production	production	NOUN
ajst-29611	39	22	.	.	PUNCT
ajst-29611	40	1	the	the	DET
ajst-29611	40	2	model	model	NOUN
ajst-29611	40	3	is	be	AUX
ajst-29611	40	4	applied	apply	VERB
ajst-29611	40	5	to	to	ADP
ajst-29611	40	6	a	a	DET
ajst-29611	40	7	dataset	dataset	NOUN
ajst-29611	40	8	of	of	ADP
ajst-29611	40	9	cbm	cbm	PROPN
ajst-29611	40	10	well	well	PROPN
ajst-29611	40	11	production	production	NOUN
ajst-29611	40	12	from	from	ADP
ajst-29611	40	13	a	a	DET
ajst-29611	40	14	specific	specific	ADJ
ajst-29611	40	15	block	block	NOUN
ajst-29611	40	16	in	in	ADP
ajst-29611	40	17	the	the	DET
ajst-29611	40	18	qin	qin	PROPN
ajst-29611	40	19	shui	shui	PROPN
ajst-29611	40	20	basin	basin	PROPN
ajst-29611	40	21	,	,	PUNCT
ajst-29611	40	22	shanxi	shanxi	PROPN
ajst-29611	40	23	,	,	PUNCT
ajst-29611	40	24	and	and	CCONJ
ajst-29611	40	25	its	its	PRON
ajst-29611	40	26	effectiveness	effectiveness	NOUN
ajst-29611	40	27	is	be	AUX
ajst-29611	40	28	validated	validate	VERB
ajst-29611	40	29	by	by	ADP
ajst-29611	40	30	comparing	compare	VERB
ajst-29611	40	31	it	it	PRON
ajst-29611	40	32	with	with	ADP
ajst-29611	40	33	several	several	ADJ
ajst-29611	40	34	other	other	ADJ
ajst-29611	40	35	models	model	NOUN
ajst-29611	40	36	.	.	PUNCT
ajst-29611	41	1	2	2	X
ajst-29611	41	2	.	.	X
ajst-29611	41	3	basic	basic	ADJ
ajst-29611	41	4	theory	theory	NOUN
ajst-29611	41	5	2.1	2.1	NUM
ajst-29611	41	6	.	.	PUNCT
ajst-29611	42	1	vmd	vmd	PROPN
ajst-29611	42	2	variational	variational	ADJ
ajst-29611	42	3	mode	mode	PROPN
ajst-29611	42	4	decomposition	decomposition	NOUN
ajst-29611	42	5	(	(	PUNCT
ajst-29611	42	6	vmd	vmd	NOUN
ajst-29611	42	7	)	)	PUNCT
ajst-29611	42	8	is	be	AUX
ajst-29611	42	9	a	a	DET
ajst-29611	42	10	signal	signal	ADJ
ajst-29611	42	11	processing	processing	NOUN
ajst-29611	42	12	technique[13	technique[13	NOUN
ajst-29611	42	13	]	]	X
ajst-29611	42	14	.	.	PUNCT
ajst-29611	43	1	its	its	PRON
ajst-29611	43	2	fundamental	fundamental	ADJ
ajst-29611	43	3	principle	principle	NOUN
ajst-29611	43	4	is	be	AUX
ajst-29611	43	5	to	to	PART
ajst-29611	43	6	formulate	formulate	VERB
ajst-29611	43	7	and	and	CCONJ
ajst-29611	43	8	solve	solve	VERB
ajst-29611	43	9	a	a	DET
ajst-29611	43	10	variational	variational	ADJ
ajst-29611	43	11	problem	problem	NOUN
ajst-29611	43	12	that	that	PRON
ajst-29611	43	13	iteratively	iteratively	ADV
ajst-29611	43	14	and	and	CCONJ
ajst-29611	43	15	adaptively	adaptively	ADV
ajst-29611	43	16	adjusts	adjust	VERB
ajst-29611	43	17	the	the	DET
ajst-29611	43	18	central	central	ADJ
ajst-29611	43	19	frequency	frequency	NOUN
ajst-29611	43	20	and	and	CCONJ
ajst-29611	43	21	bandwidth	bandwidth	NOUN
ajst-29611	43	22	of	of	ADP
ajst-29611	43	23	each	each	DET
ajst-29611	43	24	mode	mode	NOUN
ajst-29611	43	25	,	,	PUNCT
ajst-29611	43	26	thereby	thereby	ADV
ajst-29611	43	27	enabling	enable	VERB
ajst-29611	43	28	effective	effective	ADJ
ajst-29611	43	29	separation	separation	NOUN
ajst-29611	43	30	of	of	ADP
ajst-29611	43	31	modal	modal	ADJ
ajst-29611	43	32	components	component	NOUN
ajst-29611	43	33	and	and	CCONJ
ajst-29611	43	34	ultimately	ultimately	ADV
ajst-29611	43	35	achieving	achieve	VERB
ajst-29611	43	36	the	the	DET
ajst-29611	43	37	optimal	optimal	ADJ
ajst-29611	43	38	solution	solution	NOUN
ajst-29611	43	39	to	to	ADP
ajst-29611	43	40	the	the	DET
ajst-29611	43	41	variational	variational	ADJ
ajst-29611	43	42	problem[14	problem[14	NOUN
ajst-29611	43	43	]	]	PUNCT
ajst-29611	43	44	.	.	PUNCT
ajst-29611	44	1	the	the	DET
ajst-29611	44	2	variational	variational	ADJ
ajst-29611	44	3	problem	problem	NOUN
ajst-29611	44	4	is	be	AUX
ajst-29611	44	5	first	first	ADV
ajst-29611	44	6	formulated	formulate	VERB
ajst-29611	44	7	,	,	PUNCT
ajst-29611	44	8	with	with	ADP
ajst-29611	44	9	the	the	DET
ajst-29611	44	10	original	original	ADJ
ajst-29611	44	11	signal	signal	NOUN
ajst-29611	44	12	(	(	PUNCT
ajst-29611	44	13	)	)	PUNCT
ajst-29611	44	14	f	f	PROPN
ajst-29611	44	15	t	t	PROPN
ajst-29611	44	16	decomposed	decompose	VERB
ajst-29611	44	17	into	into	ADP
ajst-29611	44	18	k	k	PROPN
ajst-29611	44	19	modal	modal	ADJ
ajst-29611	44	20	components	component	NOUN
ajst-29611	44	21	.	.	PUNCT
ajst-29611	45	1	the	the	DET
ajst-29611	45	2	constraint	constraint	NOUN
ajst-29611	45	3	expression	expression	NOUN
ajst-29611	45	4	of	of	ADP
ajst-29611	45	5	the	the	DET
ajst-29611	45	6	variational	variational	ADJ
ajst-29611	45	7	model	model	NOUN
ajst-29611	45	8	is	be	AUX
ajst-29611	45	9	as	as	SCONJ
ajst-29611	45	10	follows	follow	VERB
ajst-29611	45	11	:	:	PUNCT
ajst-29611	45	12			NOUN
ajst-29611	45	13			PROPN
ajst-29611	45	14	2	2	NUM
ajst-29611	45	15	{	{	PUNCT
ajst-29611	45	16	}	}	PUNCT
ajst-29611	45	17	,	,	PUNCT
ajst-29611	45	18	{	{	PUNCT
ajst-29611	45	19	}	}	SYM
ajst-29611	45	20	2	2	NUM
ajst-29611	45	21	1	1	NUM
ajst-29611	45	22	min	min	NOUN
ajst-29611	45	23	(	(	PUNCT
ajst-29611	45	24	)	)	PUNCT
ajst-29611	45	25	*	*	PUNCT
ajst-29611	45	26	.	.	PUNCT
ajst-29611	45	27	.	.	PUNCT
ajst-29611	46	1	(	(	PUNCT
ajst-29611	46	2	)	)	PUNCT
ajst-29611	46	3	k	k	PROPN
ajst-29611	46	4	k	k	PROPN
ajst-29611	46	5	k	k	PROPN
ajst-29611	46	6	j	j	PROPN
ajst-29611	47	1	t	t	PROPN
ajst-29611	47	2	t	t	PROPN
ajst-29611	47	3	k	k	PROPN
ajst-29611	47	4	k	k	PROPN
ajst-29611	47	5	k	k	PROPN
ajst-29611	47	6	k	k	PROPN
ajst-29611	47	7	k	k	PROPN
ajst-29611	47	8	j	j	PROPN
ajst-29611	47	9	t	t	PROPN
ajst-29611	47	10	t	t	X
ajst-29611	47	11	e	e	PROPN
ajst-29611	47	12	t	t	PROPN
ajst-29611	47	13	s	s	PROPN
ajst-29611	47	14	t	t	PROPN
ajst-29611	47	15	f	f	PROPN
ajst-29611	47	16	t	t	PROPN
ajst-29611	47	17			PROPN
ajst-29611	47	18			NOUN
ajst-29611	47	19			PRON
ajst-29611	47	20			NUM
ajst-29611	47	21			NOUN
ajst-29611	47	22			NOUN
ajst-29611	47	23			NOUN
ajst-29611	47	24			NOUN
ajst-29611	47	25			NOUN
ajst-29611	47	26			ADV
ajst-29611	47	27			NOUN
ajst-29611	48	1			VERB
ajst-29611	48	2			NOUN
ajst-29611	48	3			NUM
ajst-29611	48	4			NOUN
ajst-29611	48	5			ADJ
ajst-29611	48	6			VERB
ajst-29611	48	7			NOUN
ajst-29611	48	8			PROPN
ajst-29611	48	9			X
ajst-29611	48	10			PROPN
ajst-29611	48	11			PROPN
ajst-29611	48	12			PROPN
ajst-29611	48	13			PROPN
ajst-29611	48	14			PROPN
ajst-29611	49	1			NUM
ajst-29611	49	2			NOUN
ajst-29611	49	3			X
ajst-29611	49	4			X
ajst-29611	49	5			X
ajst-29611	49	6	(	(	PUNCT
ajst-29611	49	7	1	1	X
ajst-29611	49	8	)	)	PUNCT
ajst-29611	49	9	where	where	SCONJ
ajst-29611	49	10	{	{	PUNCT
ajst-29611	49	11	}	}	PUNCT
ajst-29611	49	12	k	k	NOUN
ajst-29611	49	13	and	and	CCONJ
ajst-29611	49	14	{	{	PUNCT
ajst-29611	49	15	}	}	PUNCT
ajst-29611	49	16	k	k	NOUN
ajst-29611	49	17	represent	represent	VERB
ajst-29611	49	18	the	the	DET
ajst-29611	49	19	k	k	PROPN
ajst-29611	49	20	th	th	NOUN
ajst-29611	49	21	modal	modal	NOUN
ajst-29611	49	22	component	component	NOUN
ajst-29611	49	23	and	and	CCONJ
ajst-29611	49	24	its	its	PRON
ajst-29611	49	25	central	central	ADJ
ajst-29611	49	26	frequency	frequency	NOUN
ajst-29611	49	27	,	,	PUNCT
ajst-29611	49	28	(	(	PUNCT
ajst-29611	49	29	)	)	PUNCT
ajst-29611	49	30	t	t	NOUN
ajst-29611	49	31	denotes	denote	VERB
ajst-29611	49	32	the	the	DET
ajst-29611	49	33	dirac	dirac	PROPN
ajst-29611	49	34	delta	delta	PROPN
ajst-29611	49	35	function	function	NOUN
ajst-29611	49	36	,	,	PUNCT
ajst-29611	49	37	acting	act	VERB
ajst-29611	49	38	as	as	ADP
ajst-29611	49	39	a	a	DET
ajst-29611	49	40	unit	unit	NOUN
ajst-29611	49	41	impulse	impulse	ADJ
ajst-29611	49	42	function	function	NOUN
ajst-29611	49	43	,	,	PUNCT
ajst-29611	49	44	*	*	VERB
ajst-29611	49	45	indicates	indicate	VERB
ajst-29611	49	46	the	the	DET
ajst-29611	49	47	convolution	convolution	NOUN
ajst-29611	49	48	operator	operator	NOUN
ajst-29611	49	49	,	,	PUNCT
ajst-29611	49	50	and	and	CCONJ
ajst-29611	49	51	1	1	NUM
ajst-29611	49	52	.	.	PUNCT
ajst-29611	49	53	.	.	PUNCT
ajst-29611	50	1	(	(	PUNCT
ajst-29611	50	2	)	)	PUNCT
ajst-29611	50	3	k	k	PROPN
ajst-29611	51	1	k	k	PROPN
ajst-29611	51	2	k	k	PROPN
ajst-29611	51	3	s	s	PROPN
ajst-29611	51	4	t	t	PROPN
ajst-29611	51	5	f	f	PROPN
ajst-29611	51	6	t	t	PROPN
ajst-29611	51	7			NUM
ajst-29611	51	8			PROPN
ajst-29611	51	9	defines	define	VERB
ajst-29611	51	10	the	the	DET
ajst-29611	51	11	constraint	constraint	NOUN
ajst-29611	51	12	,	,	PUNCT
ajst-29611	51	13	where	where	SCONJ
ajst-29611	51	14	the	the	DET
ajst-29611	51	15	sum	sum	NOUN
ajst-29611	51	16	of	of	ADP
ajst-29611	51	17	all	all	DET
ajst-29611	51	18	modal	modal	ADJ
ajst-29611	51	19	components	component	NOUN
ajst-29611	51	20	equals	equal	VERB
ajst-29611	51	21	the	the	DET
ajst-29611	51	22	original	original	ADJ
ajst-29611	51	23	signal	signal	NOUN
ajst-29611	51	24	.	.	PUNCT
ajst-29611	52	1	the	the	DET
ajst-29611	52	2	constrained	constrain	VERB
ajst-29611	52	3	variational	variational	ADJ
ajst-29611	52	4	problem	problem	NOUN
ajst-29611	52	5	is	be	AUX
ajst-29611	52	6	subsequently	subsequently	ADV
ajst-29611	52	7	converted	convert	VERB
ajst-29611	52	8	into	into	ADP
ajst-29611	52	9	an	an	DET
ajst-29611	52	10	unconstrained	unconstrained	ADJ
ajst-29611	52	11	variational	variational	ADJ
ajst-29611	52	12	problem	problem	NOUN
ajst-29611	52	13	through	through	ADP
ajst-29611	52	14	the	the	DET
ajst-29611	52	15	introduction	introduction	NOUN
ajst-29611	52	16	of	of	ADP
ajst-29611	52	17	the	the	DET
ajst-29611	52	18	lagrange	lagrange	NOUN
ajst-29611	52	19	multiplier	multiplier	ADV
ajst-29611	52	20			ADJ
ajst-29611	52	21	,	,	PUNCT
ajst-29611	52	22	and	and	CCONJ
ajst-29611	52	23	the	the	DET
ajst-29611	52	24	augmented	augment	VERB
ajst-29611	52	25	lagrange	lagrange	NOUN
ajst-29611	52	26	expression	expression	NOUN
ajst-29611	52	27	is	be	AUX
ajst-29611	52	28	defined	define	VERB
ajst-29611	52	29	as	as	SCONJ
ajst-29611	52	30	follows	follow	VERB
ajst-29611	52	31	:	:	PUNCT
ajst-29611	52	32	  	  	SPACE
ajst-29611	53	1			PROPN
ajst-29611	53	2			PROPN
ajst-29611	53	3			PROPN
ajst-29611	53	4			NOUN
ajst-29611	53	5			PROPN
ajst-29611	53	6			NOUN
ajst-29611	53	7			SYM
ajst-29611	53	8			NOUN
ajst-29611	53	9			PROPN
ajst-29611	53	10	2	2	NUM
ajst-29611	53	11	2	2	NUM
ajst-29611	53	12	,	,	PUNCT
ajst-29611	53	13	,	,	PUNCT
ajst-29611	53	14	kj	kj	PROPN
ajst-29611	53	15	t	t	PROPN
ajst-29611	54	1	k	k	PROPN
ajst-29611	54	2	k	k	PROPN
ajst-29611	55	1	t	t	PROPN
ajst-29611	55	2	k	k	PROPN
ajst-29611	55	3	k	k	PROPN
ajst-29611	55	4	j	j	PROPN
ajst-29611	55	5	l	l	PROPN
ajst-29611	55	6	t	t	PROPN
ajst-29611	55	7	t	t	X
ajst-29611	55	8	e	e	PROPN
ajst-29611	55	9	t	t	PROPN
ajst-29611	55	10			X
ajst-29611	55	11			PROPN
ajst-29611	55	12			ADJ
ajst-29611	55	13			NUM
ajst-29611	55	14			NOUN
ajst-29611	55	15			ADJ
ajst-29611	55	16			NOUN
ajst-29611	55	17			PROPN
ajst-29611	55	18			PUNCT
ajst-29611	55	19			PROPN
ajst-29611	55	20			PROPN
ajst-29611	55	21			X
ajst-29611	55	22			PROPN
ajst-29611	55	23			PROPN
ajst-29611	55	24			PROPN
ajst-29611	55	25			NOUN
ajst-29611	55	26			PROPN
ajst-29611	55	27			PROPN
ajst-29611	55	28			X
ajst-29611	55	29	(	(	PUNCT
ajst-29611	55	30	2	2	X
ajst-29611	55	31	)	)	PUNCT
ajst-29611	55	32	where	where	SCONJ
ajst-29611	55	33	the	the	DET
ajst-29611	55	34	penalty	penalty	NOUN
ajst-29611	55	35	factor	factor	NOUN
ajst-29611	55	36			PRON
ajst-29611	55	37	mitigates	mitigate	VERB
ajst-29611	55	38	gaussian	gaussian	ADJ
ajst-29611	55	39	noise	noise	NOUN
ajst-29611	55	40	interference	interference	NOUN
ajst-29611	55	41	,	,	PUNCT
ajst-29611	55	42	the	the	DET
ajst-29611	55	43	optimal	optimal	ADJ
ajst-29611	55	44	solution	solution	NOUN
ajst-29611	55	45	of	of	ADP
ajst-29611	55	46	the	the	DET
ajst-29611	55	47	variational	variational	ADJ
ajst-29611	55	48	model	model	NOUN
ajst-29611	55	49	is	be	AUX
ajst-29611	55	50	derived	derive	VERB
ajst-29611	55	51	by	by	ADP
ajst-29611	55	52	locating	locate	VERB
ajst-29611	55	53	the	the	DET
ajst-29611	55	54	saddle	saddle	NOUN
ajst-29611	55	55	point	point	NOUN
ajst-29611	55	56	of	of	ADP
ajst-29611	55	57	the	the	DET
ajst-29611	55	58	augmented	augment	VERB
ajst-29611	55	59	lagrange	lagrange	NOUN
ajst-29611	55	60	function，and	function，and	NUM
ajst-29611	55	61	iteratively	iteratively	ADV
ajst-29611	55	62	updating	update	VERB
ajst-29611	55	63	the	the	DET
ajst-29611	55	64	parameters	parameter	NOUN
ajst-29611	55	65	through	through	ADP
ajst-29611	55	66	alternating	alternate	VERB
ajst-29611	55	67	optimization	optimization	NOUN
ajst-29611	55	68	.	.	PUNCT
ajst-29611	56	1	the	the	DET
ajst-29611	56	2	iterative	iterative	NOUN
ajst-29611	56	3	procedure	procedure	NOUN
ajst-29611	56	4	for	for	ADP
ajst-29611	56	5	solving	solve	VERB
ajst-29611	56	6	the	the	DET
ajst-29611	56	7	variational	variational	ADJ
ajst-29611	56	8	problem	problem	NOUN
ajst-29611	56	9	is	be	AUX
ajst-29611	56	10	outlined	outline	VERB
ajst-29611	56	11	as	as	ADP
ajst-29611	56	12	follows[15	follows[15	NOUN
ajst-29611	56	13	]	]	PUNCT
ajst-29611	56	14	:	:	PUNCT
ajst-29611	56	15	step	step	NOUN
ajst-29611	56	16	1	1	NUM
ajst-29611	56	17	:	:	PUNCT
ajst-29611	56	18	parameter	parameter	NOUN
ajst-29611	56	19	initialization	initialization	NOUN
ajst-29611	56	20	.	.	PUNCT
ajst-29611	57	1	the	the	DET
ajst-29611	57	2	modal	modal	ADJ
ajst-29611	57	3	components	component	NOUN
ajst-29611	57	4	0	0	PUNCT
ajst-29611	57	5	(	(	PUNCT
ajst-29611	57	6	1	1	NUM
ajst-29611	57	7	2	2	NUM
ajst-29611	57	8	)	)	PUNCT
ajst-29611	57	9	k	k	NOUN
ajst-29611	58	1	k	k	PROPN
ajst-29611	58	2	k	k	NOUN
ajst-29611	58	3			NOUN
ajst-29611	58	4			NUM
ajst-29611	58	5	，	，	PROPN
ajst-29611	58	6	，	，	PROPN
ajst-29611	58	7	，	，	ADJ
ajst-29611	58	8	,	,	PUNCT
ajst-29611	58	9	central	central	ADJ
ajst-29611	58	10	frequencies	frequency	NOUN
ajst-29611	58	11	0	0	NUM
ajst-29611	58	12	k	k	NOUN
ajst-29611	58	13	,	,	PUNCT
ajst-29611	58	14	lagrange	lagrange	NOUN
ajst-29611	58	15	multiplier	multipli	ADJ
ajst-29611	58	16	0	0	NUM
ajst-29611	58	17	,	,	PUNCT
ajst-29611	58	18	penalty	penalty	NOUN
ajst-29611	58	19	factor	factor	NOUN
ajst-29611	58	20			NOUN
ajst-29611	58	21	,	,	PUNCT
ajst-29611	58	22	and	and	CCONJ
ajst-29611	58	23	maximum	maximum	ADJ
ajst-29611	58	24	iteration	iteration	NOUN
ajst-29611	58	25	count	count	NOUN
ajst-29611	58	26	n	n	PRON
ajst-29611	58	27	are	be	AUX
ajst-29611	58	28	initialized	initialize	VERB
ajst-29611	58	29	.	.	PUNCT
ajst-29611	59	1	step	step	NOUN
ajst-29611	59	2	2	2	NUM
ajst-29611	59	3	:	:	PUNCT
ajst-29611	59	4	parameter	parameter	NOUN
ajst-29611	59	5	update	update	NOUN
ajst-29611	59	6	.	.	PUNCT
ajst-29611	60	1	the	the	DET
ajst-29611	60	2	parameters	parameter	NOUN
ajst-29611	60	3	k	k	NOUN
ajst-29611	60	4	and	and	CCONJ
ajst-29611	60	5	k	k	NOUN
ajst-29611	60	6	are	be	AUX
ajst-29611	60	7	alternately	alternately	ADV
ajst-29611	60	8	updated	update	VERB
ajst-29611	60	9	using	use	VERB
ajst-29611	60	10	equations	equation	NOUN
ajst-29611	60	11	(	(	PUNCT
ajst-29611	60	12	3	3	NUM
ajst-29611	60	13	)	)	PUNCT
ajst-29611	60	14	and	and	CCONJ
ajst-29611	60	15	(	(	PUNCT
ajst-29611	60	16	4	4	NUM
ajst-29611	60	17	)	)	PUNCT
ajst-29611	60	18	,	,	PUNCT
ajst-29611	60	19	while	while	SCONJ
ajst-29611	60	20	the	the	DET
ajst-29611	60	21	lagrange	lagrange	NOUN
ajst-29611	60	22	multiplier	multiplier	ADV
ajst-29611	60	23			X
ajst-29611	60	24	is	be	AUX
ajst-29611	60	25	updated	update	VERB
ajst-29611	60	26	according	accord	VERB
ajst-29611	60	27	to	to	ADP
ajst-29611	60	28	equation	equation	NOUN
ajst-29611	60	29	(	(	PUNCT
ajst-29611	60	30	5	5	NUM
ajst-29611	60	31	)	)	PUNCT
ajst-29611	60	32	,	,	PUNCT
ajst-29611	60	33	ensuring	ensure	VERB
ajst-29611	60	34	that	that	SCONJ
ajst-29611	60	35	the	the	DET
ajst-29611	60	36	sum	sum	NOUN
ajst-29611	60	37	of	of	ADP
ajst-29611	60	38	all	all	DET
ajst-29611	60	39	modal	modal	ADJ
ajst-29611	60	40	components	component	NOUN
ajst-29611	60	41	accurately	accurately	ADV
ajst-29611	60	42	reconstructs	reconstruct	VERB
ajst-29611	60	43	the	the	DET
ajst-29611	60	44	original	original	ADJ
ajst-29611	60	45	signal	signal	NOUN
ajst-29611	60	46	.	.	PUNCT
ajst-29611	61	1			NOUN
ajst-29611	62	1			PUNCT
ajst-29611	62	2			NOUN
ajst-29611	62	3			SYM
ajst-29611	62	4			NOUN
ajst-29611	62	5			SYM
ajst-29611	62	6			NOUN
ajst-29611	62	7			PROPN
ajst-29611	62	8	^	^	PUNCT
ajst-29611	62	9	^	^	PUNCT
ajst-29611	62	10	1^	1^	NUM
ajst-29611	62	11	2	2	NUM
ajst-29611	62	12	2	2	NUM
ajst-29611	62	13	(	(	PUNCT
ajst-29611	62	14	)	)	PUNCT
ajst-29611	62	15	1	1	NUM
ajst-29611	62	16	2	2	NUM
ajst-29611	62	17	n	n	SYM
ajst-29611	62	18	ii	ii	NOUN
ajst-29611	62	19	k	k	PROPN
ajst-29611	62	20	k	k	PROPN
ajst-29611	62	21	k	k	PROPN
ajst-29611	62	22	f	f	PROPN
ajst-29611	62	23			X
ajst-29611	62	24			X
ajst-29611	62	25			NUM
ajst-29611	62	26			NOUN
ajst-29611	62	27			NOUN
ajst-29611	62	28			NOUN
ajst-29611	62	29			X
ajst-29611	62	30			X
ajst-29611	62	31			X
ajst-29611	62	32			PROPN
ajst-29611	62	33			PROPN
ajst-29611	62	34			PROPN
ajst-29611	62	35			NUM
ajst-29611	62	36			PROPN
ajst-29611	62	37			PROPN
ajst-29611	62	38			ADJ
ajst-29611	62	39			X
ajst-29611	62	40	(	(	PUNCT
ajst-29611	62	41	3	3	NUM
ajst-29611	62	42	)	)	PUNCT
ajst-29611	62	43			NOUN
ajst-29611	62	44			SYM
ajst-29611	62	45			NOUN
ajst-29611	62	46			NUM
ajst-29611	62	47	21^	21^	NUM
ajst-29611	62	48	0	0	NUM
ajst-29611	62	49	1	1	NUM
ajst-29611	62	50	21^	21^	NUM
ajst-29611	62	51	0	0	NUM
ajst-29611	62	52	n	n	CCONJ
ajst-29611	62	53	k	k	PROPN
ajst-29611	62	54	n	n	CCONJ
ajst-29611	62	55	k	k	PROPN
ajst-29611	62	56	n	n	PROPN
ajst-29611	62	57	k	k	PROPN
ajst-29611	63	1	d	d	PROPN
ajst-29611	63	2	d	d	X
ajst-29611	63	3			X
ajst-29611	63	4			NOUN
ajst-29611	63	5			X
ajst-29611	63	6			X
ajst-29611	63	7			X
ajst-29611	63	8			NOUN
ajst-29611	63	9			X
ajst-29611	63	10			PROPN
ajst-29611	63	11			ADV
ajst-29611	63	12			PUNCT
ajst-29611	63	13			PROPN
ajst-29611	64	1			NUM
ajst-29611	64	2			NOUN
ajst-29611	65	1			PUNCT
ajst-29611	66	1	∞	∞	NUM
ajst-29611	66	2	∞	∞	PROPN
ajst-29611	66	3	(	(	PUNCT
ajst-29611	66	4	4	4	NUM
ajst-29611	66	5	)	)	PUNCT
ajst-29611	66	6			NOUN
ajst-29611	66	7			SYM
ajst-29611	66	8			NOUN
ajst-29611	66	9			SYM
ajst-29611	66	10			NOUN
ajst-29611	66	11			PUNCT
ajst-29611	66	12			NOUN
ajst-29611	66	13			PROPN
ajst-29611	66	14	1	1	NUM
ajst-29611	66	15	1^	1^	NUM
ajst-29611	66	16	^	^	PUNCT
ajst-29611	66	17	^	^	PUNCT
ajst-29611	66	18	^n	^n	PROPN
ajst-29611	66	19	n	n	CCONJ
ajst-29611	66	20	n	n	NOUN
ajst-29611	66	21	k	k	PROPN
ajst-29611	66	22	k	k	PROPN
ajst-29611	66	23	f	f	PROPN
ajst-29611	66	24			PROPN
ajst-29611	66	25			X
ajst-29611	66	26			X
ajst-29611	66	27			NUM
ajst-29611	66	28			PROPN
ajst-29611	66	29			NOUN
ajst-29611	66	30			X
ajst-29611	66	31			ADV
ajst-29611	66	32			VERB
ajst-29611	66	33			PROPN
ajst-29611	66	34			PROPN
ajst-29611	66	35			ADV
ajst-29611	66	36			X
ajst-29611	66	37			PROPN
ajst-29611	66	38			ADJ
ajst-29611	66	39			NOUN
ajst-29611	66	40			X
ajst-29611	66	41	(	(	PUNCT
ajst-29611	66	42	5	5	X
ajst-29611	66	43	)	)	PUNCT
ajst-29611	66	44	step	step	NOUN
ajst-29611	66	45	3	3	NUM
ajst-29611	66	46	:	:	PUNCT
ajst-29611	66	47	accuracy	accuracy	NOUN
ajst-29611	66	48	evaluation	evaluation	NOUN
ajst-29611	66	49	and	and	CCONJ
ajst-29611	66	50	result	result	NOUN
ajst-29611	66	51	output	output	NOUN
ajst-29611	66	52	.	.	PUNCT
ajst-29611	67	1	a	a	DET
ajst-29611	67	2	threshold	threshold	NOUN
ajst-29611	67	3			PROPN
ajst-29611	67	4	is	be	AUX
ajst-29611	67	5	established	establish	VERB
ajst-29611	67	6	,	,	PUNCT
ajst-29611	67	7	and	and	CCONJ
ajst-29611	67	8	if	if	SCONJ
ajst-29611	67	9	equation	equation	NOUN
ajst-29611	67	10	(	(	PUNCT
ajst-29611	67	11	6	6	NUM
ajst-29611	67	12	)	)	PUNCT
ajst-29611	67	13	is	be	AUX
ajst-29611	67	14	satisfied	satisfied	ADJ
ajst-29611	67	15	,	,	PUNCT
ajst-29611	67	16	the	the	DET
ajst-29611	67	17	iteration	iteration	NOUN
ajst-29611	67	18	is	be	AUX
ajst-29611	67	19	terminated	terminate	VERB
ajst-29611	67	20	.	.	PUNCT
ajst-29611	68	1	otherwise	otherwise	ADV
ajst-29611	68	2	,	,	PUNCT
ajst-29611	68	3	the	the	DET
ajst-29611	68	4	process	process	NOUN
ajst-29611	68	5	returns	return	VERB
ajst-29611	68	6	to	to	PART
ajst-29611	68	7	step	step	VERB
ajst-29611	68	8	2	2	NUM
ajst-29611	68	9	and	and	CCONJ
ajst-29611	68	10	continues	continue	VERB
ajst-29611	68	11	until	until	SCONJ
ajst-29611	68	12	either	either	CCONJ
ajst-29611	68	13	the	the	DET
ajst-29611	68	14	maximum	maximum	ADJ
ajst-29611	68	15	iteration	iteration	NOUN
ajst-29611	68	16	limit	limit	NOUN
ajst-29611	68	17	is	be	AUX
ajst-29611	68	18	reached	reach	VERB
ajst-29611	68	19	or	or	CCONJ
ajst-29611	68	20	the	the	DET
ajst-29611	68	21	desired	desire	VERB
ajst-29611	68	22	accuracy	accuracy	NOUN
ajst-29611	68	23	is	be	AUX
ajst-29611	68	24	attained	attain	VERB
ajst-29611	68	25	.	.	PUNCT
ajst-29611	69	1	21^	21^	NUM
ajst-29611	69	2	^	^	SYM
ajst-29611	69	3	2	2	NUM
ajst-29611	69	4	2	2	NUM
ajst-29611	69	5	^	^	SYM
ajst-29611	69	6	2	2	NUM
ajst-29611	69	7	n	n	SYM
ajst-29611	69	8	n	n	NOUN
ajst-29611	69	9	k	k	NOUN
ajst-29611	69	10	kk	kk	PROPN
ajst-29611	69	11	n	n	CCONJ
ajst-29611	69	12	k	k	X
ajst-29611	69	13			NOUN
ajst-29611	69	14			NOUN
ajst-29611	69	15			NOUN
ajst-29611	69	16			X
ajst-29611	69	17			X
ajst-29611	69	18			PROPN
ajst-29611	69	19			PROPN
ajst-29611	69	20			PROPN
ajst-29611	69	21	(	(	PUNCT
ajst-29611	69	22	6	6	NUM
ajst-29611	69	23	)	)	PUNCT
ajst-29611	69	24	2.2	2.2	NUM
ajst-29611	69	25	.	.	PUNCT
ajst-29611	70	1	pe	pe	PROPN
ajst-29611	70	2	entropy	entropy	PROPN
ajst-29611	70	3	serves	serve	VERB
ajst-29611	70	4	as	as	ADP
ajst-29611	70	5	a	a	DET
ajst-29611	70	6	measure	measure	NOUN
ajst-29611	70	7	of	of	ADP
ajst-29611	70	8	the	the	DET
ajst-29611	70	9	disorder	disorder	NOUN
ajst-29611	70	10	within	within	ADP
ajst-29611	70	11	a	a	DET
ajst-29611	70	12	time	time	NOUN
ajst-29611	70	13	series	series	NOUN
ajst-29611	70	14	,	,	PUNCT
ajst-29611	70	15	while	while	SCONJ
ajst-29611	70	16	the	the	DET
ajst-29611	70	17	permutation	permutation	NOUN
ajst-29611	70	18	entropy	entropy	NOUN
ajst-29611	70	19	algorithm	algorithm	PROPN
ajst-29611	70	20	is	be	AUX
ajst-29611	70	21	capable	capable	ADJ
ajst-29611	70	22	of	of	ADP
ajst-29611	70	23	detecting	detect	VERB
ajst-29611	70	24	noise	noise	NOUN
ajst-29611	70	25	in	in	ADP
ajst-29611	70	26	the	the	DET
ajst-29611	70	27	sequence	sequence	NOUN
ajst-29611	70	28	.	.	PUNCT
ajst-29611	71	1	this	this	DET
ajst-29611	71	2	approach	approach	NOUN
ajst-29611	71	3	is	be	AUX
ajst-29611	71	4	particularly	particularly	ADV
ajst-29611	71	5	suited	suit	VERB
ajst-29611	71	6	for	for	ADP
ajst-29611	71	7	analyzing	analyze	VERB
ajst-29611	71	8	the	the	DET
ajst-29611	71	9	complexity	complexity	NOUN
ajst-29611	71	10	of	of	ADP
ajst-29611	71	11	coalbed	coalbe	VERB
ajst-29611	71	12	methane	methane	NOUN
ajst-29611	71	13	well	well	NOUN
ajst-29611	71	14	production	production	NOUN
ajst-29611	71	15	data	datum	NOUN
ajst-29611	71	16	after	after	ADP
ajst-29611	71	17	vmd	vmd	PROPN
ajst-29611	71	18	decomposition	decomposition	NOUN
ajst-29611	71	19	,	,	PUNCT
ajst-29611	71	20	the	the	DET
ajst-29611	71	21	computational	computational	ADJ
ajst-29611	71	22	procedure	procedure	NOUN
ajst-29611	71	23	is	be	AUX
ajst-29611	71	24	outlined	outline	VERB
ajst-29611	71	25	as	as	SCONJ
ajst-29611	71	26	follows	follow	VERB
ajst-29611	71	27	[	[	X
ajst-29611	71	28	13][14	13][14	PROPN
ajst-29611	71	29	]	]	PUNCT
ajst-29611	71	30	:	:	PUNCT
ajst-29611	71	31	step	step	NOUN
ajst-29611	71	32	1	1	NUM
ajst-29611	71	33	:	:	PUNCT
ajst-29611	71	34	conduct	conduct	NOUN
ajst-29611	71	35	phase	phase	NOUN
ajst-29611	71	36	space	space	NOUN
ajst-29611	71	37	reconstruction	reconstruction	NOUN
ajst-29611	71	38	on	on	ADP
ajst-29611	71	39	the	the	DET
ajst-29611	71	40	components	component	NOUN
ajst-29611	71	41	(	(	PUNCT
ajst-29611	71	42	)	)	PUNCT
ajst-29611	71	43	v	v	NOUN
ajst-29611	71	44	i	i	PRON
ajst-29611	71	45	derived	derive	VERB
ajst-29611	71	46	from	from	ADP
ajst-29611	71	47	the	the	DET
ajst-29611	71	48	vmd	vmd	PROPN
ajst-29611	71	49	decomposition	decomposition	NOUN
ajst-29611	71	50	to	to	PART
ajst-29611	71	51	obtain	obtain	VERB
ajst-29611	71	52	the	the	DET
ajst-29611	71	53	matrix	matrix	NOUN
ajst-29611	71	54	x	x	PUNCT
ajst-29611	71	55	,	,	PUNCT
ajst-29611	71	56	expressed	express	VERB
ajst-29611	71	57	as	as	SCONJ
ajst-29611	71	58	follows	follow	VERB
ajst-29611	71	59	:	:	PUNCT
ajst-29611	71	60	203	203	NUM
ajst-29611	71	61	(	(	PUNCT
ajst-29611	71	62	1	1	NUM
ajst-29611	71	63	)	)	PUNCT
ajst-29611	71	64	(	(	PUNCT
ajst-29611	71	65	1	1	X
ajst-29611	71	66	)	)	PUNCT
ajst-29611	72	1	[	[	X
ajst-29611	72	2	1	1	NUM
ajst-29611	72	3	(	(	PUNCT
ajst-29611	72	4	1	1	NUM
ajst-29611	72	5	)	)	PUNCT
ajst-29611	72	6	]	]	PUNCT
ajst-29611	72	7	(	(	PUNCT
ajst-29611	72	8	2	2	X
ajst-29611	72	9	)	)	PUNCT
ajst-29611	72	10	(	(	PUNCT
ajst-29611	72	11	2	2	X
ajst-29611	72	12	)	)	PUNCT
ajst-29611	72	13	[	[	X
ajst-29611	72	14	2	2	NUM
ajst-29611	72	15	(	(	PUNCT
ajst-29611	72	16	1	1	NUM
ajst-29611	72	17	)	)	PUNCT
ajst-29611	72	18	]	]	PUNCT
ajst-29611	72	19	(	(	PUNCT
ajst-29611	72	20	)	)	PUNCT
ajst-29611	72	21	(	(	PUNCT
ajst-29611	72	22	)	)	PUNCT
ajst-29611	72	23	[	[	PUNCT
ajst-29611	72	24	(	(	PUNCT
ajst-29611	72	25	1	1	NUM
ajst-29611	72	26	)	)	PUNCT
ajst-29611	72	27	]	]	PUNCT
ajst-29611	72	28	(	(	PUNCT
ajst-29611	72	29	)	)	PUNCT
ajst-29611	72	30	(	(	PUNCT
ajst-29611	72	31	)	)	PUNCT
ajst-29611	72	32	[	[	PUNCT
ajst-29611	72	33	(	(	PUNCT
ajst-29611	72	34	1	1	NUM
ajst-29611	72	35	)	)	PUNCT
ajst-29611	72	36	]	]	PUNCT
ajst-29611	73	1	v	v	X
ajst-29611	73	2	v	v	ADP
ajst-29611	73	3	t	t	PROPN
ajst-29611	73	4	v	v	NOUN
ajst-29611	73	5	m	m	NOUN
ajst-29611	73	6	t	t	NOUN
ajst-29611	73	7	v	v	NUM
ajst-29611	73	8	v	v	ADP
ajst-29611	73	9	t	t	PROPN
ajst-29611	73	10	v	v	NOUN
ajst-29611	73	11	m	m	NOUN
ajst-29611	73	12	t	t	NOUN
ajst-29611	73	13	x	x	SYM
ajst-29611	73	14	v	v	ADP
ajst-29611	73	15	j	j	PROPN
ajst-29611	73	16	v	v	NUM
ajst-29611	73	17	j	j	PROPN
ajst-29611	73	18	t	t	PROPN
ajst-29611	73	19	v	v	PROPN
ajst-29611	73	20	j	j	PROPN
ajst-29611	73	21	m	m	PROPN
ajst-29611	73	22	t	t	PROPN
ajst-29611	73	23	v	v	NUM
ajst-29611	73	24	k	k	PROPN
ajst-29611	73	25	v	v	X
ajst-29611	73	26	k	k	PROPN
ajst-29611	73	27	t	t	PROPN
ajst-29611	73	28	v	v	X
ajst-29611	73	29	k	k	PROPN
ajst-29611	73	30	m	m	PROPN
ajst-29611	73	31	t	t	NOUN
ajst-29611	73	32			ADV
ajst-29611	73	33			PUNCT
ajst-29611	73	34			NOUN
ajst-29611	73	35			NOUN
ajst-29611	73	36			X
ajst-29611	73	37			NOUN
ajst-29611	73	38			ADJ
ajst-29611	73	39			PROPN
ajst-29611	73	40			PROPN
ajst-29611	73	41			NOUN
ajst-29611	73	42			NOUN
ajst-29611	73	43			NUM
ajst-29611	73	44			NOUN
ajst-29611	73	45			NOUN
ajst-29611	73	46			ADV
ajst-29611	73	47			PROPN
ajst-29611	73	48			PROPN
ajst-29611	73	49			NOUN
ajst-29611	73	50			NOUN
ajst-29611	73	51			NOUN
ajst-29611	73	52			PROPN
ajst-29611	73	53			ADV
ajst-29611	73	54			PUNCT
ajst-29611	73	55			NOUN
ajst-29611	73	56			PROPN
ajst-29611	73	57			NOUN
ajst-29611	73	58			NOUN
ajst-29611	73	59			NUM
ajst-29611	73	60			VERB
ajst-29611	73	61			PROPN
ajst-29611	73	62			NOUN
ajst-29611	73	63			NUM
ajst-29611	73	64			VERB
ajst-29611	73	65			ADJ
ajst-29611	73	66			NOUN
ajst-29611	73	67	(	(	PUNCT
ajst-29611	73	68	7	7	NUM
ajst-29611	73	69	)	)	PUNCT
ajst-29611	73	70	where	where	SCONJ
ajst-29611	73	71	t	t	NOUN
ajst-29611	73	72	and	and	CCONJ
ajst-29611	73	73	m	m	PROPN
ajst-29611	73	74	represent	represent	VERB
ajst-29611	73	75	the	the	DET
ajst-29611	73	76	time	time	NOUN
ajst-29611	73	77	delay	delay	NOUN
ajst-29611	73	78	and	and	CCONJ
ajst-29611	73	79	embedding	embed	VERB
ajst-29611	73	80	dimension	dimension	NOUN
ajst-29611	73	81	.	.	PUNCT
ajst-29611	74	1	step	step	NOUN
ajst-29611	74	2	2	2	NUM
ajst-29611	74	3	:	:	PUNCT
ajst-29611	74	4	the	the	DET
ajst-29611	74	5	row	row	NOUN
ajst-29611	74	6	vectors	vector	NOUN
ajst-29611	74	7	of	of	ADP
ajst-29611	74	8	matrix	matrix	NOUN
ajst-29611	74	9	x	x	PART
ajst-29611	74	10	are	be	AUX
ajst-29611	74	11	ordered	order	VERB
ajst-29611	74	12	in	in	ADP
ajst-29611	74	13	increasing	increase	VERB
ajst-29611	74	14	are	be	AUX
ajst-29611	74	15	ordered	order	VERB
ajst-29611	74	16	in	in	ADP
ajst-29611	74	17	ascending	ascend	VERB
ajst-29611	74	18	sequence	sequence	NOUN
ajst-29611	74	19	to	to	PART
ajst-29611	74	20	define	define	VERB
ajst-29611	74	21	the	the	DET
ajst-29611	74	22	reconstructed	reconstructed	ADJ
ajst-29611	74	23	vector	vector	NOUN
ajst-29611	74	24	(	(	PUNCT
ajst-29611	74	25	)	)	PUNCT
ajst-29611	74	26	x	x	SYM
ajst-29611	74	27	l	l	NOUN
ajst-29611	74	28	,	,	PUNCT
ajst-29611	74	29	thereby	thereby	ADV
ajst-29611	74	30	yielding	yield	VERB
ajst-29611	74	31	the	the	DET
ajst-29611	74	32	position	position	NOUN
ajst-29611	74	33	index	index	NOUN
ajst-29611	74	34	sequence	sequence	NOUN
ajst-29611	74	35	.	.	PUNCT
ajst-29611	75	1	1	1	NUM
ajst-29611	75	2	2	2	NUM
ajst-29611	75	3	(	(	PUNCT
ajst-29611	75	4	)	)	PUNCT
ajst-29611	75	5	(	(	PUNCT
ajst-29611	75	6	,	,	PUNCT
ajst-29611	75	7	,	,	PUNCT
ajst-29611	75	8	,	,	PUNCT
ajst-29611	75	9	)	)	PUNCT
ajst-29611	75	10	mx	mx	PROPN
ajst-29611	76	1	l	l	PROPN
ajst-29611	76	2	j	j	PROPN
ajst-29611	76	3	j	j	PROPN
ajst-29611	76	4	j	j	PROPN
ajst-29611	76	5			NOUN
ajst-29611	76	6	(	(	PUNCT
ajst-29611	76	7	8)	8)	NUM
ajst-29611	76	8	step	step	NOUN
ajst-29611	76	9	3	3	NUM
ajst-29611	76	10	:	:	PUNCT
ajst-29611	76	11	the	the	DET
ajst-29611	76	12	probability	probability	NOUN
ajst-29611	76	13	1	1	NUM
ajst-29611	76	14	2	2	NUM
ajst-29611	76	15	,	,	PUNCT
ajst-29611	76	16	,	,	PUNCT
ajst-29611	76	17	,	,	PUNCT
ajst-29611	76	18	kp	kp	PROPN
ajst-29611	76	19	p	p	X
ajst-29611	76	20	p	p	PROPN
ajst-29611	76	21	for	for	ADP
ajst-29611	76	22	each	each	DET
ajst-29611	76	23	permutation	permutation	NOUN
ajst-29611	76	24	is	be	AUX
ajst-29611	76	25	computed	compute	VERB
ajst-29611	76	26	.	.	PUNCT
ajst-29611	77	1	step	step	NOUN
ajst-29611	77	2	4	4	NUM
ajst-29611	77	3	:	:	PUNCT
ajst-29611	77	4	the	the	DET
ajst-29611	77	5	permutation	permutation	NOUN
ajst-29611	77	6	entropy	entropy	NOUN
ajst-29611	77	7	of	of	ADP
ajst-29611	77	8	the	the	DET
ajst-29611	77	9	time	time	NOUN
ajst-29611	77	10	series	series	PROPN
ajst-29611	77	11	(	(	PUNCT
ajst-29611	77	12	)	)	PUNCT
ajst-29611	77	13	v	v	NOUN
ajst-29611	77	14	i	i	PRON
ajst-29611	77	15	is	be	AUX
ajst-29611	77	16	defined	define	VERB
ajst-29611	77	17	according	accord	VERB
ajst-29611	77	18	to	to	ADP
ajst-29611	77	19	the	the	DET
ajst-29611	77	20	shannon	shannon	PROPN
ajst-29611	77	21	entropy	entropy	PROPN
ajst-29611	77	22	formula	formula	NOUN
ajst-29611	77	23	as	as	SCONJ
ajst-29611	77	24	follows	follow	VERB
ajst-29611	77	25	:	:	PUNCT
ajst-29611	77	26	!	!	PUNCT
ajst-29611	78	1	1	1	NUM
ajst-29611	78	2	log	log	VERB
ajst-29611	78	3	m	m	NOUN
ajst-29611	78	4	p	p	NOUN
ajst-29611	78	5	l	l	NOUN
ajst-29611	78	6	l	l	NOUN
ajst-29611	78	7	l	l	NOUN
ajst-29611	78	8	h	h	NOUN
ajst-29611	79	1	p	p	NOUN
ajst-29611	79	2	p	p	X
ajst-29611	79	3			ADJ
ajst-29611	79	4			NUM
ajst-29611	79	5			NOUN
ajst-29611	79	6	(	(	PUNCT
ajst-29611	79	7	9	9	X
ajst-29611	79	8	)	)	PUNCT
ajst-29611	79	9	step	step	NOUN
ajst-29611	79	10	5	5	NUM
ajst-29611	79	11	:	:	PUNCT
ajst-29611	79	12	the	the	DET
ajst-29611	79	13	permutation	permutation	NOUN
ajst-29611	79	14	entropy	entropy	NOUN
ajst-29611	79	15	values	value	NOUN
ajst-29611	79	16	are	be	AUX
ajst-29611	79	17	normalized	normalize	VERB
ajst-29611	79	18	,	,	PUNCT
ajst-29611	79	19	mapping	map	VERB
ajst-29611	79	20	each	each	DET
ajst-29611	79	21	component	component	NOUN
ajst-29611	79	22	's	's	PART
ajst-29611	79	23	value	value	NOUN
ajst-29611	79	24	to	to	ADP
ajst-29611	79	25	the	the	DET
ajst-29611	79	26	range	range	NOUN
ajst-29611	80	1	[	[	X
ajst-29611	80	2	0,1	0,1	NUM
ajst-29611	80	3	]	]	PUNCT
ajst-29611	80	4	,	,	PUNCT
ajst-29611	80	5	as	as	SCONJ
ajst-29611	80	6	follows	follow	VERB
ajst-29611	80	7	:	:	PUNCT
ajst-29611	80	8	log	log	NOUN
ajst-29611	80	9	(	(	PUNCT
ajst-29611	80	10	!	!	PUNCT
ajst-29611	80	11	)	)	PUNCT
ajst-29611	81	1	phh	phh	PROPN
ajst-29611	81	2	m	m	VERB
ajst-29611	81	3			NOUN
ajst-29611	81	4	(	(	PUNCT
ajst-29611	81	5	10	10	NUM
ajst-29611	81	6	)	)	PUNCT
ajst-29611	81	7	a	a	DET
ajst-29611	81	8	smaller	small	ADJ
ajst-29611	81	9	h	h	NOUN
ajst-29611	81	10	value	value	NOUN
ajst-29611	81	11	indicates	indicate	VERB
ajst-29611	81	12	a	a	DET
ajst-29611	81	13	less	less	ADV
ajst-29611	81	14	complex	complex	ADJ
ajst-29611	81	15	sequence	sequence	NOUN
ajst-29611	81	16	with	with	ADP
ajst-29611	81	17	reduced	reduced	ADJ
ajst-29611	81	18	randomness	randomness	NOUN
ajst-29611	81	19	,	,	PUNCT
ajst-29611	81	20	while	while	SCONJ
ajst-29611	81	21	a	a	DET
ajst-29611	81	22	larger	large	ADJ
ajst-29611	81	23	h	h	NOUN
ajst-29611	81	24	signifies	signify	VERB
ajst-29611	81	25	a	a	DET
ajst-29611	81	26	more	more	ADV
ajst-29611	81	27	intricate	intricate	ADJ
ajst-29611	81	28	sequence	sequence	NOUN
ajst-29611	81	29	with	with	ADP
ajst-29611	81	30	higher	high	ADJ
ajst-29611	81	31	randomness	randomness	NOUN
ajst-29611	81	32	.	.	PUNCT
ajst-29611	82	1	3	3	X
ajst-29611	82	2	.	.	X
ajst-29611	82	3	materials	material	NOUN
ajst-29611	82	4	and	and	CCONJ
ajst-29611	82	5	methods	method	NOUN
ajst-29611	82	6	3.1	3.1	NUM
ajst-29611	82	7	.	.	PUNCT
ajst-29611	83	1	construction	construction	NOUN
ajst-29611	83	2	of	of	ADP
ajst-29611	83	3	a	a	DET
ajst-29611	83	4	hybrid	hybrid	ADJ
ajst-29611	83	5	time	time	NOUN
ajst-29611	83	6	series	series	PROPN
ajst-29611	83	7	forecasting	forecasting	NOUN
ajst-29611	83	8	model	model	NOUN
ajst-29611	83	9	based	base	VERB
ajst-29611	83	10	on	on	ADP
ajst-29611	83	11	the	the	DET
ajst-29611	83	12	aforementioned	aforementioned	ADJ
ajst-29611	83	13	description	description	NOUN
ajst-29611	83	14	,	,	PUNCT
ajst-29611	83	15	the	the	DET
ajst-29611	83	16	flowchart	flowchart	NOUN
ajst-29611	83	17	of	of	ADP
ajst-29611	83	18	the	the	DET
ajst-29611	83	19	proposed	propose	VERB
ajst-29611	83	20	vmd	vmd	PROPN
ajst-29611	83	21	-	-	PUNCT
ajst-29611	83	22	based	base	VERB
ajst-29611	83	23	hybrid	hybrid	NOUN
ajst-29611	83	24	time	time	NOUN
ajst-29611	83	25	series	series	PROPN
ajst-29611	83	26	forecasting	forecasting	NOUN
ajst-29611	83	27	model	model	NOUN
ajst-29611	83	28	for	for	ADP
ajst-29611	83	29	addressing	address	VERB
ajst-29611	83	30	the	the	DET
ajst-29611	83	31	non	non	ADJ
ajst-29611	83	32	-	-	ADJ
ajst-29611	83	33	stationary	stationary	ADJ
ajst-29611	83	34	and	and	CCONJ
ajst-29611	83	35	nonlinear	nonlinear	ADJ
ajst-29611	83	36	characteristics	characteristic	NOUN
ajst-29611	83	37	of	of	ADP
ajst-29611	83	38	coalbed	coalbe	VERB
ajst-29611	83	39	methane	methane	NOUN
ajst-29611	83	40	well	well	NOUN
ajst-29611	83	41	production	production	NOUN
ajst-29611	83	42	data	datum	NOUN
ajst-29611	83	43	can	can	AUX
ajst-29611	83	44	be	be	AUX
ajst-29611	83	45	summarized	summarize	VERB
ajst-29611	83	46	in	in	ADP
ajst-29611	83	47	figure	figure	NOUN
ajst-29611	83	48	1	1	NUM
ajst-29611	83	49	.	.	PUNCT
ajst-29611	84	1	the	the	DET
ajst-29611	84	2	main	main	ADJ
ajst-29611	84	3	steps	step	NOUN
ajst-29611	84	4	include	include	VERB
ajst-29611	84	5	:	:	PUNCT
ajst-29611	84	6	step	step	NOUN
ajst-29611	84	7	1	1	NUM
ajst-29611	84	8	:	:	PUNCT
ajst-29611	84	9	decompose	decompose	VERB
ajst-29611	84	10	the	the	DET
ajst-29611	84	11	original	original	ADJ
ajst-29611	84	12	data	datum	NOUN
ajst-29611	84	13	into	into	ADP
ajst-29611	84	14	a	a	DET
ajst-29611	84	15	limited	limited	ADJ
ajst-29611	84	16	number	number	NOUN
ajst-29611	84	17	of	of	ADP
ajst-29611	84	18	intrinsic	intrinsic	ADJ
ajst-29611	84	19	mode	mode	NOUN
ajst-29611	84	20	functions	function	NOUN
ajst-29611	84	21	(	(	PUNCT
ajst-29611	84	22	imfs	imfs	NOUN
ajst-29611	84	23	)	)	PUNCT
ajst-29611	84	24	using	use	VERB
ajst-29611	84	25	vmd	vmd	PROPN
ajst-29611	84	26	,	,	PUNCT
ajst-29611	84	27	capturing	capture	VERB
ajst-29611	84	28	essential	essential	ADJ
ajst-29611	84	29	characteristics	characteristic	NOUN
ajst-29611	84	30	of	of	ADP
ajst-29611	84	31	the	the	DET
ajst-29611	84	32	original	original	ADJ
ajst-29611	84	33	data	datum	NOUN
ajst-29611	84	34	while	while	SCONJ
ajst-29611	84	35	reducing	reduce	VERB
ajst-29611	84	36	noise	noise	NOUN
ajst-29611	84	37	and	and	CCONJ
ajst-29611	84	38	redundant	redundant	ADJ
ajst-29611	84	39	information	information	NOUN
ajst-29611	84	40	to	to	PART
ajst-29611	84	41	enhance	enhance	VERB
ajst-29611	84	42	forecast	forecast	NOUN
ajst-29611	84	43	accuracy	accuracy	NOUN
ajst-29611	84	44	.	.	PUNCT
ajst-29611	85	1	step	step	NOUN
ajst-29611	85	2	2	2	NUM
ajst-29611	85	3	:	:	PUNCT
ajst-29611	85	4	measure	measure	VERB
ajst-29611	85	5	the	the	DET
ajst-29611	85	6	complexity	complexity	NOUN
ajst-29611	85	7	information	information	NOUN
ajst-29611	85	8	of	of	ADP
ajst-29611	85	9	each	each	DET
ajst-29611	85	10	sequence	sequence	NOUN
ajst-29611	85	11	using	use	VERB
ajst-29611	85	12	permutation	permutation	NOUN
ajst-29611	85	13	entropy	entropy	NOUN
ajst-29611	85	14	values	value	NOUN
ajst-29611	85	15	,	,	PUNCT
ajst-29611	85	16	then	then	ADV
ajst-29611	85	17	classify	classify	VERB
ajst-29611	85	18	the	the	DET
ajst-29611	85	19	imfs	imfs	NOUN
ajst-29611	85	20	by	by	ADP
ajst-29611	85	21	assigning	assign	VERB
ajst-29611	85	22	components	component	NOUN
ajst-29611	85	23	1	1	NUM
ajst-29611	85	24	through	through	ADP
ajst-29611	85	25	𝑘	𝑘	PRON
ajst-29611	85	26	to	to	ADP
ajst-29611	85	27	the	the	DET
ajst-29611	85	28	highcomplexity	highcomplexity	NOUN
ajst-29611	85	29	category	category	NOUN
ajst-29611	85	30	and	and	CCONJ
ajst-29611	85	31	components	component	NOUN
ajst-29611	85	32	𝑘+1	𝑘+1	PROPN
ajst-29611	85	33	through	through	ADP
ajst-29611	85	34	𝑛	𝑛	PROPN
ajst-29611	85	35	to	to	ADP
ajst-29611	85	36	the	the	DET
ajst-29611	85	37	medium	medium	NOUN
ajst-29611	85	38	-	-	PUNCT
ajst-29611	85	39	to	to	ADP
ajst-29611	85	40	-	-	PUNCT
ajst-29611	85	41	low	low	ADJ
ajst-29611	85	42	complexity	complexity	NOUN
ajst-29611	85	43	category	category	NOUN
ajst-29611	85	44	.	.	PUNCT
ajst-29611	86	1	step	step	NOUN
ajst-29611	86	2	3	3	NUM
ajst-29611	86	3	:	:	PUNCT
ajst-29611	86	4	develop	develop	VERB
ajst-29611	86	5	distinct	distinct	ADJ
ajst-29611	86	6	forecasting	forecasting	NOUN
ajst-29611	86	7	models	model	NOUN
ajst-29611	86	8	tailored	tailor	VERB
ajst-29611	86	9	to	to	ADP
ajst-29611	86	10	each	each	DET
ajst-29611	86	11	imf	imf	PROPN
ajst-29611	86	12	.	.	PUNCT
ajst-29611	87	1	the	the	DET
ajst-29611	87	2	cnn	cnn	PROPN
ajst-29611	87	3	-	-	PUNCT
ajst-29611	87	4	lstm	lstm	PROPN
ajst-29611	87	5	model	model	NOUN
ajst-29611	87	6	is	be	AUX
ajst-29611	87	7	employed	employ	VERB
ajst-29611	87	8	to	to	PART
ajst-29611	87	9	forecast	forecast	VERB
ajst-29611	87	10	components	component	NOUN
ajst-29611	87	11	1	1	NUM
ajst-29611	87	12	through	through	ADP
ajst-29611	87	13	𝑘	𝑘	PRON
ajst-29611	87	14	,	,	PUNCT
ajst-29611	87	15	while	while	SCONJ
ajst-29611	87	16	the	the	DET
ajst-29611	87	17	ssa	ssa	NOUN
ajst-29611	87	18	-	-	PUNCT
ajst-29611	87	19	svr	svr	PROPN
ajst-29611	87	20	model	model	NOUN
ajst-29611	87	21	is	be	AUX
ajst-29611	87	22	applied	apply	VERB
ajst-29611	87	23	to	to	ADP
ajst-29611	87	24	components	component	NOUN
ajst-29611	87	25	𝑘+1	𝑘+1	PROPN
ajst-29611	87	26	through	through	ADP
ajst-29611	87	27	𝑛.	𝑛.	NOUN
ajst-29611	87	28	step	step	NOUN
ajst-29611	87	29	4	4	NUM
ajst-29611	87	30	:	:	PUNCT
ajst-29611	87	31	upon	upon	SCONJ
ajst-29611	87	32	obtaining	obtain	VERB
ajst-29611	87	33	the	the	DET
ajst-29611	87	34	predicted	predict	VERB
ajst-29611	87	35	values	value	NOUN
ajst-29611	87	36	from	from	ADP
ajst-29611	87	37	each	each	DET
ajst-29611	87	38	model	model	NOUN
ajst-29611	87	39	,	,	PUNCT
ajst-29611	87	40	the	the	DET
ajst-29611	87	41	forecasts	forecast	NOUN
ajst-29611	87	42	for	for	ADP
ajst-29611	87	43	each	each	DET
ajst-29611	87	44	component	component	NOUN
ajst-29611	87	45	are	be	AUX
ajst-29611	87	46	linearly	linearly	ADV
ajst-29611	87	47	synthesized	synthesize	VERB
ajst-29611	87	48	in	in	ADP
ajst-29611	87	49	the	the	DET
ajst-29611	87	50	time	time	NOUN
ajst-29611	87	51	domain	domain	NOUN
ajst-29611	87	52	to	to	PART
ajst-29611	87	53	yield	yield	VERB
ajst-29611	87	54	the	the	DET
ajst-29611	87	55	final	final	ADJ
ajst-29611	87	56	prediction	prediction	NOUN
ajst-29611	87	57	.	.	PUNCT
ajst-29611	88	1	figure	figure	NOUN
ajst-29611	88	2	1	1	NUM
ajst-29611	88	3	.	.	PUNCT
ajst-29611	88	4	hybrid	hybrid	ADJ
ajst-29611	88	5	model	model	NOUN
ajst-29611	88	6	prediction	prediction	NOUN
ajst-29611	88	7	flowchart	flowchart	NOUN
ajst-29611	88	8	based	base	VERB
ajst-29611	88	9	on	on	ADP
ajst-29611	88	10	vmd	vmd	PROPN
ajst-29611	88	11	3.1.1	3.1.1	NUM
ajst-29611	88	12	.	.	PUNCT
ajst-29611	89	1	cnn	cnn	PROPN
ajst-29611	89	2	-	-	PUNCT
ajst-29611	89	3	lstm	lstm	PROPN
ajst-29611	89	4	cnn[18	cnn[18	X
ajst-29611	89	5	]	]	PUNCT
ajst-29611	89	6	is	be	AUX
ajst-29611	89	7	capable	capable	ADJ
ajst-29611	89	8	of	of	ADP
ajst-29611	89	9	extracting	extract	VERB
ajst-29611	89	10	latent	latent	NOUN
ajst-29611	89	11	spatial	spatial	ADJ
ajst-29611	89	12	features	feature	NOUN
ajst-29611	89	13	through	through	ADP
ajst-29611	89	14	convolution	convolution	NOUN
ajst-29611	89	15	operations	operation	NOUN
ajst-29611	89	16	，	，	PUNCT
ajst-29611	89	17	whereas	whereas	SCONJ
ajst-29611	89	18	lstm[19	lstm[19	ADV
ajst-29611	89	19	]	]	PUNCT
ajst-29611	89	20	possesses	possess	VERB
ajst-29611	89	21	the	the	DET
ajst-29611	89	22	capability	capability	NOUN
ajst-29611	89	23	of	of	ADP
ajst-29611	89	24	long	long	ADJ
ajst-29611	89	25	-	-	PUNCT
ajst-29611	89	26	term	term	NOUN
ajst-29611	89	27	and	and	CCONJ
ajst-29611	89	28	short	short	ADJ
ajst-29611	89	29	-	-	PUNCT
ajst-29611	89	30	term	term	NOUN
ajst-29611	89	31	memory	memory	NOUN
ajst-29611	89	32	capabilities	capability	NOUN
ajst-29611	89	33	to	to	PART
ajst-29611	89	34	effectively	effectively	ADV
ajst-29611	89	35	capture	capture	VERB
ajst-29611	89	36	and	and	CCONJ
ajst-29611	89	37	maintain	maintain	VERB
ajst-29611	89	38	temporal	temporal	ADJ
ajst-29611	89	39	dependencies	dependency	NOUN
ajst-29611	89	40	in	in	ADP
ajst-29611	89	41	sequence	sequence	NOUN
ajst-29611	89	42	data	datum	NOUN
ajst-29611	89	43	.	.	PUNCT
ajst-29611	90	1	by	by	ADP
ajst-29611	90	2	combining	combine	VERB
ajst-29611	90	3	cnn	cnn	PROPN
ajst-29611	90	4	and	and	CCONJ
ajst-29611	90	5	lstm	lstm	PROPN
ajst-29611	90	6	,	,	PUNCT
ajst-29611	90	7	the	the	DET
ajst-29611	90	8	former	former	ADJ
ajst-29611	90	9	is	be	AUX
ajst-29611	90	10	used	use	VERB
ajst-29611	90	11	for	for	ADP
ajst-29611	90	12	spatial	spatial	ADJ
ajst-29611	90	13	feature	feature	NOUN
ajst-29611	90	14	extraction	extraction	NOUN
ajst-29611	90	15	,	,	PUNCT
ajst-29611	90	16	raw	raw	ADJ
ajst-29611	90	17	data	datum	NOUN
ajst-29611	90	18	vmd	vmd	PROPN
ajst-29611	90	19	decomposition	decomposition	NOUN
ajst-29611	90	20	imf1	imf1	PROPN
ajst-29611	90	21	imf2	imf2	VERB
ajst-29611	90	22	ꞏꞏꞏ	ꞏꞏꞏ	PROPN
ajst-29611	90	23	imfn-1	imfn-1	PROPN
ajst-29611	90	24	imfn	imfn	ADV
ajst-29611	90	25	calculate	calculate	VERB
ajst-29611	90	26	the	the	DET
ajst-29611	90	27	pe	pe	PROPN
ajst-29611	90	28	value	value	NOUN
ajst-29611	90	29	and	and	CCONJ
ajst-29611	90	30	categorize	categorize	VERB
ajst-29611	90	31	the	the	DET
ajst-29611	90	32	complexity	complexity	NOUN
ajst-29611	90	33	high	high	ADJ
ajst-29611	90	34	-	-	PUNCT
ajst-29611	90	35	complexity	complexity	NOUN
ajst-29611	90	36	1	1	NUM
ajst-29611	90	37	~	~	SYM
ajst-29611	90	38	k	k	ADJ
ajst-29611	90	39	medium	medium	NOUN
ajst-29611	90	40	-	-	PUNCT
ajst-29611	90	41	to	to	ADP
ajst-29611	90	42	-	-	PUNCT
ajst-29611	90	43	low	low	ADJ
ajst-29611	90	44	complexity	complexity	NOUN
ajst-29611	90	45	k+1	k+1	PROPN
ajst-29611	90	46	~	~	SYM
ajst-29611	90	47	n	n	PRON
ajst-29611	90	48	cnn	cnn	PROPN
ajst-29611	90	49	-	-	PUNCT
ajst-29611	90	50	lstm	lstm	ADJ
ajst-29611	90	51	1	1	NUM
ajst-29611	90	52	~	~	SYM
ajst-29611	90	53	k	k	PRON
ajst-29611	90	54	ssa	ssa	PROPN
ajst-29611	90	55	-	-	PUNCT
ajst-29611	90	56	svr	svr	PROPN
ajst-29611	90	57	k+1	k+1	PROPN
ajst-29611	90	58	~	~	NOUN
ajst-29611	90	59	n	n	NUM
ajst-29611	90	60	predicted	predict	VERB
ajst-29611	90	61	value1	value1	PROPN
ajst-29611	90	62	predicted	predict	VERB
ajst-29611	90	63	value	value	NOUN
ajst-29611	90	64	k	k	PROPN
ajst-29611	90	65	ꞏꞏꞏ	ꞏꞏꞏ	PROPN
ajst-29611	90	66	predicted	predict	VERB
ajst-29611	90	67	value	value	NOUN
ajst-29611	90	68	k+1	k+1	X
ajst-29611	90	69	predicted	predict	VERB
ajst-29611	90	70	value	value	NOUN
ajst-29611	90	71	n	n	PRON
ajst-29611	90	72	ꞏꞏꞏ	ꞏꞏꞏ	NOUN
ajst-29611	90	73	final	final	ADJ
ajst-29611	90	74	prediction	prediction	NOUN
ajst-29611	90	75	results	result	NOUN
ajst-29611	90	76	204	204	NUM
ajst-29611	90	77	followed	follow	VERB
ajst-29611	90	78	by	by	ADP
ajst-29611	90	79	the	the	DET
ajst-29611	90	80	fusion	fusion	NOUN
ajst-29611	90	81	of	of	ADP
ajst-29611	90	82	the	the	DET
ajst-29611	90	83	extracted	extract	VERB
ajst-29611	90	84	spatial	spatial	ADJ
ajst-29611	90	85	features	feature	NOUN
ajst-29611	90	86	with	with	ADP
ajst-29611	90	87	the	the	DET
ajst-29611	90	88	raw	raw	ADJ
ajst-29611	90	89	time	time	NOUN
ajst-29611	90	90	series	series	PROPN
ajst-29611	90	91	data	data	PROPN
ajst-29611	90	92	.	.	PUNCT
ajst-29611	91	1	then	then	ADV
ajst-29611	91	2	,	,	PUNCT
ajst-29611	91	3	lstm	lstm	PROPN
ajst-29611	91	4	's	's	PART
ajst-29611	91	5	powerful	powerful	ADJ
ajst-29611	91	6	capabilities	capability	NOUN
ajst-29611	91	7	are	be	AUX
ajst-29611	91	8	leveraged	leverage	VERB
ajst-29611	91	9	to	to	PART
ajst-29611	91	10	mine	mine	VERB
ajst-29611	91	11	the	the	DET
ajst-29611	91	12	temporal	temporal	ADJ
ajst-29611	91	13	dependencies	dependency	NOUN
ajst-29611	91	14	in	in	ADP
ajst-29611	91	15	the	the	DET
ajst-29611	91	16	time	time	NOUN
ajst-29611	91	17	series[17][18	series[17][18	PROPN
ajst-29611	91	18	]	]	PUNCT
ajst-29611	91	19	.	.	PUNCT
ajst-29611	92	1	this	this	DET
ajst-29611	92	2	architecture	architecture	NOUN
ajst-29611	92	3	effectively	effectively	ADV
ajst-29611	92	4	integrates	integrate	VERB
ajst-29611	92	5	the	the	DET
ajst-29611	92	6	extraction	extraction	NOUN
ajst-29611	92	7	and	and	CCONJ
ajst-29611	92	8	learning	learning	NOUN
ajst-29611	92	9	of	of	ADP
ajst-29611	92	10	both	both	CCONJ
ajst-29611	92	11	spatial	spatial	ADJ
ajst-29611	92	12	and	and	CCONJ
ajst-29611	92	13	temporal	temporal	ADJ
ajst-29611	92	14	features	feature	NOUN
ajst-29611	92	15	,	,	PUNCT
ajst-29611	92	16	making	make	VERB
ajst-29611	92	17	it	it	PRON
ajst-29611	92	18	particularly	particularly	ADV
ajst-29611	92	19	suitable	suitable	ADJ
ajst-29611	92	20	for	for	ADP
ajst-29611	92	21	predicting	predict	VERB
ajst-29611	92	22	the	the	DET
ajst-29611	92	23	trends	trend	NOUN
ajst-29611	92	24	of	of	ADP
ajst-29611	92	25	highly	highly	ADV
ajst-29611	92	26	complex	complex	ADJ
ajst-29611	92	27	imfs	imfs	NOUN
ajst-29611	92	28	.	.	PUNCT
ajst-29611	93	1	in	in	ADP
ajst-29611	93	2	this	this	DET
ajst-29611	93	3	paper	paper	NOUN
ajst-29611	93	4	,	,	PUNCT
ajst-29611	93	5	a	a	DET
ajst-29611	93	6	cnn	cnn	PROPN
ajst-29611	93	7	-	-	PUNCT
ajst-29611	93	8	lstm	lstm	ADJ
ajst-29611	93	9	model	model	NOUN
ajst-29611	93	10	for	for	ADP
ajst-29611	93	11	coalbed	coalbe	VERB
ajst-29611	93	12	methane	methane	NOUN
ajst-29611	93	13	well	well	NOUN
ajst-29611	93	14	production	production	NOUN
ajst-29611	93	15	prediction	prediction	NOUN
ajst-29611	93	16	is	be	AUX
ajst-29611	93	17	constructed	construct	VERB
ajst-29611	93	18	,	,	PUNCT
ajst-29611	93	19	with	with	SCONJ
ajst-29611	93	20	its	its	PRON
ajst-29611	93	21	structure	structure	NOUN
ajst-29611	93	22	is	be	AUX
ajst-29611	93	23	shown	show	VERB
ajst-29611	93	24	in	in	ADP
ajst-29611	93	25	fig	fig	NOUN
ajst-29611	93	26	.	.	PUNCT
ajst-29611	94	1	2	2	X
ajst-29611	94	2	.	.	X
ajst-29611	94	3	the	the	DET
ajst-29611	94	4	model	model	NOUN
ajst-29611	94	5	primarily	primarily	ADV
ajst-29611	94	6	includes	include	VERB
ajst-29611	94	7	input	input	NOUN
ajst-29611	94	8	layer	layer	NOUN
ajst-29611	94	9	,	,	PUNCT
ajst-29611	94	10	cnn	cnn	PROPN
ajst-29611	94	11	layer	layer	NOUN
ajst-29611	94	12	,	,	PUNCT
ajst-29611	94	13	lstm	lstm	NOUN
ajst-29611	94	14	layer	layer	NOUN
ajst-29611	94	15	and	and	CCONJ
ajst-29611	94	16	output	output	NOUN
ajst-29611	94	17	layer	layer	NOUN
ajst-29611	94	18	.	.	PUNCT
ajst-29611	95	1	the	the	DET
ajst-29611	95	2	specific	specific	ADJ
ajst-29611	95	3	functions	function	NOUN
ajst-29611	95	4	of	of	ADP
ajst-29611	95	5	each	each	DET
ajst-29611	95	6	layer	layer	NOUN
ajst-29611	95	7	are	be	AUX
ajst-29611	95	8	described	describe	VERB
ajst-29611	95	9	as	as	SCONJ
ajst-29611	95	10	follows	follow	VERB
ajst-29611	95	11	:	:	PUNCT
ajst-29611	95	12	figure	figure	NOUN
ajst-29611	95	13	2	2	NUM
ajst-29611	95	14	.	.	PUNCT
ajst-29611	95	15	architecture	architecture	NOUN
ajst-29611	95	16	of	of	ADP
ajst-29611	95	17	cnn	cnn	PROPN
ajst-29611	95	18	-	-	PUNCT
ajst-29611	95	19	lstm	lstm	ADJ
ajst-29611	95	20	predictive	predictive	ADJ
ajst-29611	95	21	model	model	NOUN
ajst-29611	95	22	  	  	SPACE
ajst-29611	95	23	1	1	NUM
ajst-29611	95	24	)	)	PUNCT
ajst-29611	95	25	input	input	NOUN
ajst-29611	95	26	layer	layer	NOUN
ajst-29611	95	27	:	:	PUNCT
ajst-29611	95	28	determine	determine	VERB
ajst-29611	95	29	the	the	DET
ajst-29611	95	30	input	input	NOUN
ajst-29611	95	31	training	training	NOUN
ajst-29611	95	32	dataset	dataset	NOUN
ajst-29611	95	33	,	,	PUNCT
ajst-29611	95	34	and	and	CCONJ
ajst-29611	95	35	the	the	DET
ajst-29611	95	36	data	datum	NOUN
ajst-29611	95	37	is	be	AUX
ajst-29611	95	38	normalized	normalize	VERB
ajst-29611	95	39	using	use	VERB
ajst-29611	95	40	the	the	DET
ajst-29611	95	41	min	min	ADJ
ajst-29611	95	42	-	-	ADJ
ajst-29611	95	43	max	max	ADJ
ajst-29611	95	44	scaling	scaling	NOUN
ajst-29611	95	45	method	method	NOUN
ajst-29611	95	46	,	,	PUNCT
ajst-29611	95	47	with	with	ADP
ajst-29611	95	48	the	the	DET
ajst-29611	95	49	normalized	normalize	VERB
ajst-29611	95	50	data	datum	NOUN
ajst-29611	95	51	serving	serve	VERB
ajst-29611	95	52	as	as	ADP
ajst-29611	95	53	the	the	DET
ajst-29611	95	54	input	input	NOUN
ajst-29611	95	55	to	to	ADP
ajst-29611	95	56	the	the	DET
ajst-29611	95	57	model	model	NOUN
ajst-29611	95	58	.	.	PUNCT
ajst-29611	96	1	2	2	X
ajst-29611	96	2	)	)	PUNCT
ajst-29611	96	3	cnn	cnn	NOUN
ajst-29611	96	4	layer	layer	NOUN
ajst-29611	96	5	:	:	PUNCT
ajst-29611	96	6	the	the	DET
ajst-29611	96	7	cnn	cnn	PROPN
ajst-29611	96	8	layer	layer	NOUN
ajst-29611	96	9	is	be	AUX
ajst-29611	96	10	utilized	utilize	VERB
ajst-29611	96	11	to	to	PART
ajst-29611	96	12	extract	extract	VERB
ajst-29611	96	13	features	feature	NOUN
ajst-29611	96	14	from	from	ADP
ajst-29611	96	15	the	the	DET
ajst-29611	96	16	time	time	NOUN
ajst-29611	96	17	series	series	PROPN
ajst-29611	96	18	data	data	PROPN
ajst-29611	96	19	.	.	PUNCT
ajst-29611	97	1	the	the	DET
ajst-29611	97	2	imf	imf	PROPN
ajst-29611	97	3	sequence	sequence	NOUN
ajst-29611	97	4	data	datum	NOUN
ajst-29611	97	5	is	be	AUX
ajst-29611	97	6	passed	pass	VERB
ajst-29611	97	7	through	through	ADP
ajst-29611	97	8	the	the	DET
ajst-29611	97	9	convolutional	convolutional	ADJ
ajst-29611	97	10	layer	layer	NOUN
ajst-29611	97	11	,	,	PUNCT
ajst-29611	97	12	where	where	SCONJ
ajst-29611	97	13	one	one	NUM
ajst-29611	97	14	-	-	PUNCT
ajst-29611	97	15	dimensional	dimensional	ADJ
ajst-29611	97	16	convolution	convolution	NOUN
ajst-29611	97	17	is	be	AUX
ajst-29611	97	18	performed	perform	VERB
ajst-29611	97	19	using	use	VERB
ajst-29611	97	20	three	three	NUM
ajst-29611	97	21	convolutional	convolutional	ADJ
ajst-29611	97	22	kernels	kernel	NOUN
ajst-29611	97	23	,	,	PUNCT
ajst-29611	97	24	followed	follow	VERB
ajst-29611	97	25	by	by	ADP
ajst-29611	97	26	dimensionality	dimensionality	NOUN
ajst-29611	97	27	reduction	reduction	NOUN
ajst-29611	97	28	through	through	ADP
ajst-29611	97	29	a	a	DET
ajst-29611	97	30	max	max	PROPN
ajst-29611	97	31	pooling	pool	VERB
ajst-29611	97	32	layer	layer	NOUN
ajst-29611	97	33	.	.	PUNCT
ajst-29611	98	1	3	3	X
ajst-29611	98	2	)	)	PUNCT
ajst-29611	98	3	lstm	lstm	ADJ
ajst-29611	98	4	layer	layer	NOUN
ajst-29611	98	5	:	:	PUNCT
ajst-29611	98	6	the	the	DET
ajst-29611	98	7	features	feature	NOUN
ajst-29611	98	8	extracted	extract	VERB
ajst-29611	98	9	in	in	ADP
ajst-29611	98	10	the	the	DET
ajst-29611	98	11	previous	previous	ADJ
ajst-29611	98	12	layer	layer	NOUN
ajst-29611	98	13	are	be	AUX
ajst-29611	98	14	input	input	VERB
ajst-29611	98	15	into	into	ADP
ajst-29611	98	16	the	the	DET
ajst-29611	98	17	lstm	lstm	PROPN
ajst-29611	98	18	network	network	NOUN
ajst-29611	98	19	,	,	PUNCT
ajst-29611	98	20	which	which	PRON
ajst-29611	98	21	learns	learn	VERB
ajst-29611	98	22	the	the	DET
ajst-29611	98	23	temporal	temporal	ADJ
ajst-29611	98	24	dependencies	dependency	NOUN
ajst-29611	98	25	inherent	inherent	ADJ
ajst-29611	98	26	in	in	ADP
ajst-29611	98	27	the	the	DET
ajst-29611	98	28	sequence	sequence	NOUN
ajst-29611	98	29	data	datum	NOUN
ajst-29611	98	30	.	.	PUNCT
ajst-29611	99	1	4	4	X
ajst-29611	99	2	)	)	PUNCT
ajst-29611	99	3	output	output	NOUN
ajst-29611	99	4	layer	layer	NOUN
ajst-29611	99	5	:	:	PUNCT
ajst-29611	99	6	a	a	DET
ajst-29611	99	7	fully	fully	ADV
ajst-29611	99	8	connected	connect	VERB
ajst-29611	99	9	layer	layer	NOUN
ajst-29611	99	10	is	be	AUX
ajst-29611	99	11	incorporated	incorporate	VERB
ajst-29611	99	12	at	at	ADP
ajst-29611	99	13	the	the	DET
ajst-29611	99	14	end	end	NOUN
ajst-29611	99	15	of	of	ADP
ajst-29611	99	16	the	the	DET
ajst-29611	99	17	network	network	NOUN
ajst-29611	99	18	structure	structure	NOUN
ajst-29611	99	19	.	.	PUNCT
ajst-29611	100	1	this	this	DET
ajst-29611	100	2	layer	layer	NOUN
ajst-29611	100	3	generates	generate	VERB
ajst-29611	100	4	predictions	prediction	NOUN
ajst-29611	100	5	based	base	VERB
ajst-29611	100	6	on	on	ADP
ajst-29611	100	7	the	the	DET
ajst-29611	100	8	features	feature	NOUN
ajst-29611	100	9	extracted	extract	VERB
ajst-29611	100	10	and	and	CCONJ
ajst-29611	100	11	learned	learn	VERB
ajst-29611	100	12	in	in	ADP
ajst-29611	100	13	the	the	DET
ajst-29611	100	14	previous	previous	ADJ
ajst-29611	100	15	layers	layer	NOUN
ajst-29611	100	16	,	,	PUNCT
ajst-29611	100	17	ultimately	ultimately	ADV
ajst-29611	100	18	producing	produce	VERB
ajst-29611	100	19	the	the	DET
ajst-29611	100	20	forecasted	forecast	VERB
ajst-29611	100	21	values	value	NOUN
ajst-29611	100	22	.	.	PUNCT
ajst-29611	101	1	3.1.2	3.1.2	X
ajst-29611	101	2	.	.	PUNCT
ajst-29611	102	1	ssa	ssa	NOUN
ajst-29611	102	2	-	-	PUNCT
ajst-29611	102	3	svr	svr	PROPN
ajst-29611	102	4	svr	svr	PROPN
ajst-29611	102	5	is	be	AUX
ajst-29611	102	6	a	a	DET
ajst-29611	102	7	regression	regression	NOUN
ajst-29611	102	8	technique	technique	NOUN
ajst-29611	102	9	derived	derive	VERB
ajst-29611	102	10	from	from	ADP
ajst-29611	102	11	support	support	NOUN
ajst-29611	102	12	vector	vector	NOUN
ajst-29611	102	13	machines	machine	NOUN
ajst-29611	102	14	(	(	PUNCT
ajst-29611	102	15	svm	svm	PROPN
ajst-29611	102	16	)	)	PUNCT
ajst-29611	102	17	,	,	PUNCT
ajst-29611	102	18	which	which	PRON
ajst-29611	102	19	maps	map	VERB
ajst-29611	102	20	input	input	NOUN
ajst-29611	102	21	parameters	parameter	NOUN
ajst-29611	102	22	to	to	ADP
ajst-29611	102	23	a	a	DET
ajst-29611	102	24	highdimensional	highdimensional	ADJ
ajst-29611	102	25	linear	linear	NOUN
ajst-29611	102	26	feature	feature	NOUN
ajst-29611	102	27	space	space	NOUN
ajst-29611	102	28	through	through	ADP
ajst-29611	102	29	a	a	DET
ajst-29611	102	30	nonlinear	nonlinear	ADJ
ajst-29611	102	31	transformation	transformation	NOUN
ajst-29611	102	32	.	.	PUNCT
ajst-29611	103	1	by	by	ADP
ajst-29611	103	2	utilizing	utilize	VERB
ajst-29611	103	3	a	a	DET
ajst-29611	103	4	kernel	kernel	NOUN
ajst-29611	103	5	function	function	NOUN
ajst-29611	103	6	,	,	PUNCT
ajst-29611	103	7	svr	svr	PROPN
ajst-29611	103	8	replaces	replace	VERB
ajst-29611	103	9	the	the	DET
ajst-29611	103	10	complex	complex	ADJ
ajst-29611	103	11	computations	computation	NOUN
ajst-29611	103	12	in	in	ADP
ajst-29611	103	13	traditional	traditional	ADJ
ajst-29611	103	14	high	high	ADJ
ajst-29611	103	15	-	-	PUNCT
ajst-29611	103	16	dimensional	dimensional	ADJ
ajst-29611	103	17	spaces	space	NOUN
ajst-29611	103	18	,	,	PUNCT
ajst-29611	103	19	by	by	ADP
ajst-29611	103	20	employing	employ	VERB
ajst-29611	103	21	a	a	DET
ajst-29611	103	22	kernel	kernel	NOUN
ajst-29611	103	23	function	function	NOUN
ajst-29611	103	24	,	,	PUNCT
ajst-29611	103	25	it	it	PRON
ajst-29611	103	26	substitutes	substitute	VERB
ajst-29611	103	27	the	the	DET
ajst-29611	103	28	complex	complex	ADJ
ajst-29611	103	29	calculations	calculation	NOUN
ajst-29611	103	30	in	in	ADP
ajst-29611	103	31	traditional	traditional	ADJ
ajst-29611	103	32	high	high	ADJ
ajst-29611	103	33	-	-	PUNCT
ajst-29611	103	34	dimensional	dimensional	ADJ
ajst-29611	103	35	spaces	space	NOUN
ajst-29611	103	36	,	,	PUNCT
ajst-29611	103	37	thereby	thereby	ADV
ajst-29611	103	38	reducing	reduce	VERB
ajst-29611	103	39	computational	computational	ADJ
ajst-29611	103	40	complexity	complexity	NOUN
ajst-29611	103	41	and	and	CCONJ
ajst-29611	103	42	constructing	construct	VERB
ajst-29611	103	43	a	a	DET
ajst-29611	103	44	fitting	fitting	ADJ
ajst-29611	103	45	function	function	NOUN
ajst-29611	103	46	between	between	ADP
ajst-29611	103	47	variables	variable	NOUN
ajst-29611	103	48	to	to	PART
ajst-29611	103	49	achieve	achieve	VERB
ajst-29611	103	50	precise	precise	ADJ
ajst-29611	103	51	predictions	prediction	NOUN
ajst-29611	103	52	of	of	ADP
ajst-29611	103	53	the	the	DET
ajst-29611	103	54	sample	sample	NOUN
ajst-29611	103	55	dataset[22	dataset[22	NOUN
ajst-29611	103	56	]	]	X
ajst-29611	103	57	.	.	PUNCT
ajst-29611	104	1	by	by	ADP
ajst-29611	104	2	transforming	transform	VERB
ajst-29611	104	3	the	the	DET
ajst-29611	104	4	nonlinear	nonlinear	ADJ
ajst-29611	104	5	problem	problem	NOUN
ajst-29611	104	6	into	into	ADP
ajst-29611	104	7	a	a	DET
ajst-29611	104	8	high	high	ADV
ajst-29611	104	9	-	-	PUNCT
ajst-29611	104	10	dimensional	dimensional	ADJ
ajst-29611	104	11	linear	linear	ADJ
ajst-29611	104	12	regression	regression	NOUN
ajst-29611	104	13	model	model	NOUN
ajst-29611	104	14	,	,	PUNCT
ajst-29611	104	15	svr	svr	PROPN
ajst-29611	104	16	can	can	AUX
ajst-29611	104	17	effectively	effectively	ADV
ajst-29611	104	18	deal	deal	VERB
ajst-29611	104	19	with	with	ADP
ajst-29611	104	20	complex	complex	ADJ
ajst-29611	104	21	nonlinear	nonlinear	ADJ
ajst-29611	104	22	relationships	relationship	NOUN
ajst-29611	104	23	,	,	PUNCT
ajst-29611	104	24	as	as	SCONJ
ajst-29611	104	25	expressed	express	VERB
ajst-29611	104	26	by	by	ADP
ajst-29611	104	27	:	:	PUNCT
ajst-29611	104	28	(	(	PUNCT
ajst-29611	104	29	)	)	PUNCT
ajst-29611	104	30	(	(	PUNCT
ajst-29611	104	31	)	)	PUNCT
ajst-29611	104	32	tf	tf	X
ajst-29611	104	33	x	x	PUNCT
ajst-29611	104	34	x	x	X
ajst-29611	104	35	b	b	PROPN
ajst-29611	104	36			PROPN
ajst-29611	104	37			PROPN
ajst-29611	104	38	(	(	PUNCT
ajst-29611	104	39	11	11	NUM
ajst-29611	104	40	)	)	PUNCT
ajst-29611	104	41	where	where	SCONJ
ajst-29611	104	42			PROPN
ajst-29611	104	43	is	be	AUX
ajst-29611	104	44	the	the	DET
ajst-29611	104	45	weight	weight	NOUN
ajst-29611	104	46	vector	vector	NOUN
ajst-29611	104	47	,	,	PUNCT
ajst-29611	104	48	(	(	PUNCT
ajst-29611	104	49	)	)	PUNCT
ajst-29611	104	50	x	x	X
ajst-29611	104	51	is	be	AUX
ajst-29611	104	52	the	the	DET
ajst-29611	104	53	nonlinear	nonlinear	ADJ
ajst-29611	104	54	mapping	mapping	NOUN
ajst-29611	104	55	function	function	NOUN
ajst-29611	104	56	with	with	ADP
ajst-29611	104	57	respect	respect	NOUN
ajst-29611	104	58	to	to	ADP
ajst-29611	104	59	x	x	PRON
ajst-29611	104	60	,	,	PUNCT
ajst-29611	104	61	and	and	CCONJ
ajst-29611	104	62	b	b	NOUN
ajst-29611	104	63	is	be	AUX
ajst-29611	104	64	the	the	DET
ajst-29611	104	65	defined	define	VERB
ajst-29611	104	66	bias	bias	NOUN
ajst-29611	104	67	term	term	NOUN
ajst-29611	104	68	.	.	PUNCT
ajst-29611	105	1	the	the	DET
ajst-29611	105	2	performance	performance	NOUN
ajst-29611	105	3	of	of	ADP
ajst-29611	105	4	svr	svr	PROPN
ajst-29611	105	5	relies	rely	VERB
ajst-29611	105	6	heavily	heavily	ADV
ajst-29611	105	7	on	on	ADP
ajst-29611	105	8	the	the	DET
ajst-29611	105	9	selection	selection	NOUN
ajst-29611	105	10	of	of	ADP
ajst-29611	105	11	parameters	parameter	NOUN
ajst-29611	105	12	,	,	PUNCT
ajst-29611	105	13	particularly	particularly	ADV
ajst-29611	105	14	the	the	DET
ajst-29611	105	15	configuration	configuration	NOUN
ajst-29611	105	16	of	of	ADP
ajst-29611	105	17	the	the	DET
ajst-29611	105	18	penalty	penalty	NOUN
ajst-29611	105	19	coefficient	coefficient	NOUN
ajst-29611	105	20	c	c	PROPN
ajst-29611	105	21	and	and	CCONJ
ajst-29611	105	22	the	the	DET
ajst-29611	105	23	rbf	rbf	PROPN
ajst-29611	105	24	kernel	kernel	PROPN
ajst-29611	105	25	function	function	PROPN
ajst-29611	105	26	.	.	PUNCT
ajst-29611	106	1	therefore	therefore	ADV
ajst-29611	106	2	,	,	PUNCT
ajst-29611	106	3	parameter	parameter	NOUN
ajst-29611	106	4	optimization	optimization	NOUN
ajst-29611	106	5	is	be	AUX
ajst-29611	106	6	a	a	DET
ajst-29611	106	7	critical	critical	ADJ
ajst-29611	106	8	factor	factor	NOUN
ajst-29611	106	9	in	in	ADP
ajst-29611	106	10	svr	svr	PROPN
ajst-29611	106	11	applications	application	NOUN
ajst-29611	106	12	.	.	PUNCT
ajst-29611	107	1	ssa[23	ssa[23	PROPN
ajst-29611	107	2	]	]	X
ajst-29611	107	3	,	,	PUNCT
ajst-29611	107	4	an	an	DET
ajst-29611	107	5	optimization	optimization	NOUN
ajst-29611	107	6	algorithm	algorithm	NOUN
ajst-29611	107	7	based	base	VERB
ajst-29611	107	8	on	on	ADP
ajst-29611	107	9	collective	collective	ADJ
ajst-29611	107	10	intelligence	intelligence	NOUN
ajst-29611	107	11	,	,	PUNCT
ajst-29611	107	12	globally	globally	ADV
ajst-29611	107	13	searches	search	VERB
ajst-29611	107	14	for	for	ADP
ajst-29611	107	15	the	the	DET
ajst-29611	107	16	optimal	optimal	ADJ
ajst-29611	107	17	solution	solution	NOUN
ajst-29611	107	18	by	by	ADP
ajst-29611	107	19	simulating	simulate	VERB
ajst-29611	107	20	the	the	DET
ajst-29611	107	21	foraging	forage	VERB
ajst-29611	107	22	behavior	behavior	NOUN
ajst-29611	107	23	of	of	ADP
ajst-29611	107	24	sparrows[24	sparrows[24	PROPN
ajst-29611	107	25	]	]	PUNCT
ajst-29611	107	26	.	.	PUNCT
ajst-29611	108	1	the	the	DET
ajst-29611	108	2	integration	integration	NOUN
ajst-29611	108	3	of	of	ADP
ajst-29611	108	4	svr	svr	PROPN
ajst-29611	108	5	and	and	CCONJ
ajst-29611	108	6	ssa	ssa	NOUN
ajst-29611	108	7	leverages	leverage	VERB
ajst-29611	108	8	the	the	DET
ajst-29611	108	9	exceptional	exceptional	ADJ
ajst-29611	108	10	global	global	ADJ
ajst-29611	108	11	search	search	NOUN
ajst-29611	108	12	optimization	optimization	NOUN
ajst-29611	108	13	capabilities	capability	NOUN
ajst-29611	108	14	of	of	ADP
ajst-29611	108	15	ssa	ssa	NOUN
ajst-29611	108	16	and	and	CCONJ
ajst-29611	108	17	the	the	DET
ajst-29611	108	18	robust	robust	ADJ
ajst-29611	108	19	modeling	modeling	NOUN
ajst-29611	108	20	power	power	NOUN
ajst-29611	108	21	of	of	ADP
ajst-29611	108	22	svr	svr	PROPN
ajst-29611	108	23	for	for	ADP
ajst-29611	108	24	nonlinear	nonlinear	ADJ
ajst-29611	108	25	problems	problem	NOUN
ajst-29611	108	26	.	.	PUNCT
ajst-29611	109	1	ssa	ssa	PROPN
ajst-29611	109	2	maps	map	VERB
ajst-29611	109	3	the	the	DET
ajst-29611	109	4	positions	position	NOUN
ajst-29611	109	5	of	of	ADP
ajst-29611	109	6	sparrows	sparrow	NOUN
ajst-29611	109	7	to	to	ADP
ajst-29611	109	8	the	the	DET
ajst-29611	109	9	key	key	ADJ
ajst-29611	109	10	parameters	parameter	NOUN
ajst-29611	109	11	of	of	ADP
ajst-29611	109	12	the	the	DET
ajst-29611	109	13	svr	svr	PROPN
ajst-29611	109	14	model	model	NOUN
ajst-29611	109	15	that	that	PRON
ajst-29611	109	16	require	require	VERB
ajst-29611	109	17	optimization	optimization	NOUN
ajst-29611	109	18	.	.	PUNCT
ajst-29611	110	1	through	through	ADP
ajst-29611	110	2	ssa	ssa	PROPN
ajst-29611	110	3	’s	’s	PART
ajst-29611	110	4	global	global	ADJ
ajst-29611	110	5	optimization	optimization	NOUN
ajst-29611	110	6	capacity	capacity	NOUN
ajst-29611	110	7	,	,	PUNCT
ajst-29611	110	8	the	the	DET
ajst-29611	110	9	optimal	optimal	ADJ
ajst-29611	110	10	sparrow	sparrow	NOUN
ajst-29611	110	11	position	position	NOUN
ajst-29611	110	12	is	be	AUX
ajst-29611	110	13	determined	determine	VERB
ajst-29611	110	14	,	,	PUNCT
ajst-29611	110	15	corresponding	correspond	VERB
ajst-29611	110	16	to	to	ADP
ajst-29611	110	17	the	the	DET
ajst-29611	110	18	globally	globally	ADV
ajst-29611	110	19	optimal	optimal	ADJ
ajst-29611	110	20	parameters	parameter	NOUN
ajst-29611	110	21	,	,	PUNCT
ajst-29611	110	22	thus	thus	ADV
ajst-29611	110	23	effectively	effectively	ADV
ajst-29611	110	24	merging	merge	VERB
ajst-29611	110	25	and	and	CCONJ
ajst-29611	110	26	complementing	complement	VERB
ajst-29611	110	27	the	the	DET
ajst-29611	110	28	strengths	strength	NOUN
ajst-29611	110	29	of	of	ADP
ajst-29611	110	30	both	both	DET
ajst-29611	110	31	methods	method	NOUN
ajst-29611	110	32	.	.	PUNCT
ajst-29611	111	1	the	the	DET
ajst-29611	111	2	ssa	ssa	PROPN
ajst-29611	111	3	-	-	PUNCT
ajst-29611	111	4	svr	svr	PROPN
ajst-29611	111	5	model	model	NOUN
ajst-29611	111	6	exhibits	exhibit	VERB
ajst-29611	111	7	remarkable	remarkable	ADJ
ajst-29611	111	8	efficacy	efficacy	NOUN
ajst-29611	111	9	in	in	ADP
ajst-29611	111	10	processing	process	VERB
ajst-29611	111	11	low	low	ADJ
ajst-29611	111	12	-	-	PUNCT
ajst-29611	111	13	frequency	frequency	NOUN
ajst-29611	111	14	and	and	CCONJ
ajst-29611	111	15	trending	trend	VERB
ajst-29611	111	16	sequences	sequence	NOUN
ajst-29611	111	17	,	,	PUNCT
ajst-29611	111	18	effectively	effectively	ADV
ajst-29611	111	19	extracting	extract	VERB
ajst-29611	111	20	both	both	DET
ajst-29611	111	21	trend	trend	NOUN
ajst-29611	111	22	and	and	CCONJ
ajst-29611	111	23	nonlinear	nonlinear	ADJ
ajst-29611	111	24	features	feature	NOUN
ajst-29611	111	25	from	from	ADP
ajst-29611	111	26	the	the	DET
ajst-29611	111	27	data	datum	NOUN
ajst-29611	111	28	.	.	PUNCT
ajst-29611	112	1	its	its	PRON
ajst-29611	112	2	flexibility	flexibility	NOUN
ajst-29611	112	3	and	and	CCONJ
ajst-29611	112	4	robustness	robustness	NOUN
ajst-29611	112	5	make	make	VERB
ajst-29611	112	6	it	it	PRON
ajst-29611	112	7	an	an	DET
ajst-29611	112	8	optimal	optimal	ADJ
ajst-29611	112	9	choice	choice	NOUN
ajst-29611	112	10	for	for	ADP
ajst-29611	112	11	handling	handle	VERB
ajst-29611	112	12	sequences	sequence	NOUN
ajst-29611	112	13	of	of	ADP
ajst-29611	112	14	lower	low	ADJ
ajst-29611	112	15	complexity	complexity	NOUN
ajst-29611	112	16	.	.	PUNCT
ajst-29611	113	1	the	the	DET
ajst-29611	113	2	implementation	implementation	NOUN
ajst-29611	113	3	steps	step	NOUN
ajst-29611	113	4	of	of	ADP
ajst-29611	113	5	the	the	DET
ajst-29611	113	6	ssa	ssa	NOUN
ajst-29611	113	7	-	-	PUNCT
ajst-29611	113	8	svr	svr	PROPN
ajst-29611	113	9	model	model	NOUN
ajst-29611	113	10	are	be	AUX
ajst-29611	113	11	shown	show	VERB
ajst-29611	113	12	in	in	ADP
ajst-29611	113	13	figure	figure	NOUN
ajst-29611	113	14	3	3	NUM
ajst-29611	113	15	:	:	SYM
ajst-29611	113	16	1	1	NUM
ajst-29611	113	17	)	)	PUNCT
ajst-29611	113	18	determine	determine	VERB
ajst-29611	113	19	the	the	DET
ajst-29611	113	20	training	training	NOUN
ajst-29611	113	21	sample	sample	NOUN
ajst-29611	113	22	data	datum	NOUN
ajst-29611	113	23	set	set	VERB
ajst-29611	113	24	and	and	CCONJ
ajst-29611	113	25	initialize	initialize	VERB
ajst-29611	113	26	the	the	DET
ajst-29611	113	27	sparrow	sparrow	ADJ
ajst-29611	113	28	population	population	NOUN
ajst-29611	113	29	parameters	parameter	NOUN
ajst-29611	113	30	.	.	PUNCT
ajst-29611	114	1	this	this	PRON
ajst-29611	114	2	involves	involve	VERB
ajst-29611	114	3	determining	determine	VERB
ajst-29611	114	4	the	the	DET
ajst-29611	114	5	population	population	NOUN
ajst-29611	114	6	size	size	NOUN
ajst-29611	114	7	,	,	PUNCT
ajst-29611	114	8	setting	set	VERB
ajst-29611	114	9	the	the	DET
ajst-29611	114	10	algorithm	algorithm	NOUN
ajst-29611	114	11	's	's	PART
ajst-29611	114	12	maximum	maximum	ADJ
ajst-29611	114	13	number	number	NOUN
ajst-29611	114	14	of	of	ADP
ajst-29611	114	15	iterations	iteration	NOUN
ajst-29611	114	16	,	,	PUNCT
ajst-29611	114	17	defining	define	VERB
ajst-29611	114	18	the	the	DET
ajst-29611	114	19	spatial	spatial	ADJ
ajst-29611	114	20	boundaries	boundary	NOUN
ajst-29611	114	21	for	for	ADP
ajst-29611	114	22	sparrow	sparrow	ADJ
ajst-29611	114	23	activity	activity	NOUN
ajst-29611	114	24	,	,	PUNCT
ajst-29611	114	25	and	and	CCONJ
ajst-29611	114	26	establishing	establish	VERB
ajst-29611	114	27	the	the	DET
ajst-29611	114	28	fitness	fitness	NOUN
ajst-29611	114	29	evaluation	evaluation	NOUN
ajst-29611	114	30	function	function	NOUN
ajst-29611	114	31	.	.	PUNCT
ajst-29611	115	1	the	the	DET
ajst-29611	115	2	mean	mean	ADJ
ajst-29611	115	3	squared	square	VERB
ajst-29611	115	4	error	error	NOUN
ajst-29611	115	5	(	(	PUNCT
ajst-29611	115	6	mse	mse	NOUN
ajst-29611	115	7	)	)	PUNCT
ajst-29611	115	8	is	be	AUX
ajst-29611	115	9	chosen	choose	VERB
ajst-29611	115	10	as	as	ADP
ajst-29611	115	11	the	the	DET
ajst-29611	115	12	fitness	fitness	NOUN
ajst-29611	115	13	metric	metric	NOUN
ajst-29611	115	14	to	to	PART
ajst-29611	115	15	evaluate	evaluate	VERB
ajst-29611	115	16	the	the	DET
ajst-29611	115	17	quality	quality	NOUN
ajst-29611	115	18	of	of	ADP
ajst-29611	115	19	the	the	DET
ajst-29611	115	20	sparrow	sparrow	NOUN
ajst-29611	115	21	positions	position	NOUN
ajst-29611	115	22	,	,	PUNCT
ajst-29611	115	23	with	with	SCONJ
ajst-29611	115	24	its	its	PRON
ajst-29611	115	25	formula	formula	NOUN
ajst-29611	115	26	expressed	express	VERB
ajst-29611	115	27	as	as	ADP
ajst-29611	115	28	:	:	PUNCT
ajst-29611	115	29	~	~	SYM
ajst-29611	116	1	1	1	NUM
ajst-29611	116	2	1	1	NUM
ajst-29611	116	3	n	n	NOUN
ajst-29611	116	4	i	i	PRON
ajst-29611	116	5	i	i	PRON
ajst-29611	117	1	i	i	PRON
ajst-29611	117	2	mse	mse	VERB
ajst-29611	117	3	y	y	PROPN
ajst-29611	117	4	y	y	PROPN
ajst-29611	117	5	n	n	CCONJ
ajst-29611	117	6			PROPN
ajst-29611	117	7			NOUN
ajst-29611	117	8			PROPN
ajst-29611	118	1			PROPN
ajst-29611	118	2			PROPN
ajst-29611	118	3			PROPN
ajst-29611	118	4			NOUN
ajst-29611	118	5			X
ajst-29611	118	6	(	(	PUNCT
ajst-29611	118	7	12	12	NUM
ajst-29611	118	8	)	)	PUNCT
ajst-29611	118	9	where	where	SCONJ
ajst-29611	118	10	iy	iy	PROPN
ajst-29611	118	11	represents	represent	VERB
ajst-29611	118	12	the	the	DET
ajst-29611	118	13	true	true	ADJ
ajst-29611	118	14	values	value	NOUN
ajst-29611	118	15	of	of	ADP
ajst-29611	118	16	the	the	DET
ajst-29611	118	17	training	training	NOUN
ajst-29611	118	18	set	set	NOUN
ajst-29611	118	19	,	,	PUNCT
ajst-29611	118	20	and	and	CCONJ
ajst-29611	118	21	~	~	PUNCT
ajst-29611	118	22	iy	iy	PROPN
ajst-29611	118	23	represents	represent	VERB
ajst-29611	118	24	the	the	DET
ajst-29611	118	25	predicted	predict	VERB
ajst-29611	118	26	values	value	NOUN
ajst-29611	118	27	of	of	ADP
ajst-29611	118	28	the	the	DET
ajst-29611	118	29	training	training	NOUN
ajst-29611	118	30	set	set	NOUN
ajst-29611	118	31	.	.	PUNCT
ajst-29611	119	1	2	2	X
ajst-29611	119	2	)	)	PUNCT
ajst-29611	119	3	the	the	DET
ajst-29611	119	4	positional	positional	ADJ
ajst-29611	119	5	information	information	NOUN
ajst-29611	119	6	of	of	ADP
ajst-29611	119	7	each	each	DET
ajst-29611	119	8	sparrow	sparrow	NOUN
ajst-29611	119	9	in	in	ADP
ajst-29611	119	10	the	the	DET
ajst-29611	119	11	current	current	ADJ
ajst-29611	119	12	population	population	NOUN
ajst-29611	119	13	is	be	AUX
ajst-29611	119	14	utilized	utilize	VERB
ajst-29611	119	15	to	to	PART
ajst-29611	119	16	configure	configure	VERB
ajst-29611	119	17	the	the	DET
ajst-29611	119	18	parameters	parameter	NOUN
ajst-29611	119	19	of	of	ADP
ajst-29611	119	20	the	the	DET
ajst-29611	119	21	svr	svr	PROPN
ajst-29611	119	22	model	model	NOUN
ajst-29611	119	23	,	,	PUNCT
ajst-29611	119	24	which	which	PRON
ajst-29611	119	25	is	be	AUX
ajst-29611	119	26	subsequently	subsequently	ADV
ajst-29611	119	27	trained	train	VERB
ajst-29611	119	28	.	.	PUNCT
ajst-29611	120	1	3	3	X
ajst-29611	120	2	)	)	PUNCT
ajst-29611	120	3	the	the	DET
ajst-29611	120	4	svr	svr	PROPN
ajst-29611	120	5	model	model	NOUN
ajst-29611	120	6	derived	derive	VERB
ajst-29611	120	7	from	from	ADP
ajst-29611	120	8	step	step	NOUN
ajst-29611	120	9	2	2	NUM
ajst-29611	120	10	is	be	AUX
ajst-29611	120	11	employed	employ	VERB
ajst-29611	120	12	for	for	ADP
ajst-29611	120	13	prediction	prediction	NOUN
ajst-29611	120	14	.	.	PUNCT
ajst-29611	121	1	the	the	DET
ajst-29611	121	2	fitness	fitness	NOUN
ajst-29611	121	3	value	value	NOUN
ajst-29611	121	4	of	of	ADP
ajst-29611	121	5	each	each	DET
ajst-29611	121	6	sparrow	sparrow	NOUN
ajst-29611	121	7	's	's	PART
ajst-29611	121	8	position	position	NOUN
ajst-29611	121	9	is	be	AUX
ajst-29611	121	10	output	output	NOUN
ajst-29611	121	11	convolve	convolve	X
ajst-29611	121	12	pooling	pool	VERB
ajst-29611	121	13	node	node	ADJ
ajst-29611	121	14	expansion	expansion	NOUN
ajst-29611	121	15	…	…	PUNCT
ajst-29611	121	16	…	…	PUNCT
ajst-29611	121	17	…	…	PUNCT
ajst-29611	121	18	…	…	PUNCT
ajst-29611	121	19	…	…	PUNCT
ajst-29611	121	20	…	…	PUNCT
ajst-29611	121	21	…	…	PUNCT
ajst-29611	121	22	…	…	PUNCT
ajst-29611	121	23	lstm	lstm	NOUN
ajst-29611	121	24	1	1	NUM
ajst-29611	121	25	lstm	lstm	NOUN
ajst-29611	121	26	2	2	NUM
ajst-29611	121	27	lstm	lstm	NOUN
ajst-29611	121	28	3	3	NUM
ajst-29611	121	29	fully	fully	ADV
ajst-29611	121	30	connected	connect	VERB
ajst-29611	121	31	layer	layer	NOUN
ajst-29611	121	32	…	…	PUNCT
ajst-29611	121	33	…	…	PUNCT
ajst-29611	121	34	input	input	NOUN
ajst-29611	121	35	input	input	NOUN
ajst-29611	121	36	layer	layer	NOUN
ajst-29611	121	37	cnn	cnn	PROPN
ajst-29611	121	38	layer	layer	NOUN
ajst-29611	121	39	lstm	lstm	NOUN
ajst-29611	121	40	layer	layer	NOUN
ajst-29611	121	41	output	output	NOUN
ajst-29611	121	42	layer	layer	NOUN
ajst-29611	121	43	205	205	NUM
ajst-29611	121	44	computed	compute	VERB
ajst-29611	121	45	based	base	VERB
ajst-29611	121	46	on	on	ADP
ajst-29611	121	47	the	the	DET
ajst-29611	121	48	fitness	fitness	NOUN
ajst-29611	121	49	metric	metric	NOUN
ajst-29611	121	50	established	establish	VERB
ajst-29611	121	51	in	in	ADP
ajst-29611	121	52	step	step	NOUN
ajst-29611	121	53	1	1	NUM
ajst-29611	121	54	,	,	PUNCT
ajst-29611	121	55	and	and	CCONJ
ajst-29611	121	56	the	the	DET
ajst-29611	121	57	sparrow	sparrow	NOUN
ajst-29611	121	58	positions	position	NOUN
ajst-29611	121	59	are	be	AUX
ajst-29611	121	60	ranked	rank	VERB
ajst-29611	121	61	accordingly	accordingly	ADV
ajst-29611	121	62	to	to	PART
ajst-29611	121	63	assess	assess	VERB
ajst-29611	121	64	the	the	DET
ajst-29611	121	65	optimal	optimal	ADJ
ajst-29611	121	66	position	position	NOUN
ajst-29611	121	67	for	for	ADP
ajst-29611	121	68	the	the	DET
ajst-29611	121	69	current	current	ADJ
ajst-29611	121	70	svr	svr	PROPN
ajst-29611	121	71	model	model	NOUN
ajst-29611	121	72	.	.	PROPN
ajst-29611	122	1	4	4	NUM
ajst-29611	122	2	)	)	PUNCT
ajst-29611	122	3	judge	judge	VERB
ajst-29611	122	4	whether	whether	SCONJ
ajst-29611	122	5	the	the	DET
ajst-29611	122	6	termination	termination	NOUN
ajst-29611	122	7	condition	condition	NOUN
ajst-29611	122	8	is	be	AUX
ajst-29611	122	9	satisfied	satisfied	ADJ
ajst-29611	122	10	.	.	PUNCT
ajst-29611	123	1	if	if	SCONJ
ajst-29611	123	2	satisfied	satisfied	ADJ
ajst-29611	123	3	,	,	PUNCT
ajst-29611	123	4	the	the	DET
ajst-29611	123	5	optimal	optimal	ADJ
ajst-29611	123	6	parameters	parameter	NOUN
ajst-29611	123	7	are	be	AUX
ajst-29611	123	8	output	output	NOUN
ajst-29611	123	9	,	,	PUNCT
ajst-29611	123	10	and	and	CCONJ
ajst-29611	123	11	the	the	DET
ajst-29611	123	12	algorithm	algorithm	NOUN
ajst-29611	123	13	concludes	conclude	VERB
ajst-29611	123	14	with	with	ADP
ajst-29611	123	15	the	the	DET
ajst-29611	123	16	optimal	optimal	ADJ
ajst-29611	123	17	model	model	NOUN
ajst-29611	123	18	.	.	PUNCT
ajst-29611	124	1	if	if	SCONJ
ajst-29611	124	2	not	not	PART
ajst-29611	124	3	,	,	PUNCT
ajst-29611	124	4	the	the	DET
ajst-29611	124	5	sparrow	sparrow	NOUN
ajst-29611	124	6	positions	position	NOUN
ajst-29611	124	7	are	be	AUX
ajst-29611	124	8	updated	update	VERB
ajst-29611	124	9	,	,	PUNCT
ajst-29611	124	10	and	and	CCONJ
ajst-29611	124	11	their	their	PRON
ajst-29611	124	12	fitness	fitness	NOUN
ajst-29611	124	13	values	value	NOUN
ajst-29611	124	14	recalculated	recalculate	VERB
ajst-29611	124	15	to	to	PART
ajst-29611	124	16	distinguish	distinguish	VERB
ajst-29611	124	17	the	the	DET
ajst-29611	124	18	best	good	ADJ
ajst-29611	124	19	and	and	CCONJ
ajst-29611	124	20	worst	bad	ADJ
ajst-29611	124	21	individuals	individual	NOUN
ajst-29611	124	22	in	in	ADP
ajst-29611	124	23	the	the	DET
ajst-29611	124	24	population	population	NOUN
ajst-29611	124	25	.	.	PUNCT
ajst-29611	125	1	5	5	X
ajst-29611	125	2	)	)	PUNCT
ajst-29611	125	3	the	the	DET
ajst-29611	125	4	optimal	optimal	ADJ
ajst-29611	125	5	parameter	parameter	NOUN
ajst-29611	125	6	combination	combination	NOUN
ajst-29611	125	7	is	be	AUX
ajst-29611	125	8	generated	generate	VERB
ajst-29611	125	9	and	and	CCONJ
ajst-29611	125	10	integrated	integrate	VERB
ajst-29611	125	11	into	into	ADP
ajst-29611	125	12	the	the	DET
ajst-29611	125	13	svr	svr	PROPN
ajst-29611	125	14	model	model	NOUN
ajst-29611	125	15	to	to	PART
ajst-29611	125	16	derive	derive	VERB
ajst-29611	125	17	the	the	DET
ajst-29611	125	18	optimal	optimal	ADJ
ajst-29611	125	19	model	model	NOUN
ajst-29611	125	20	.	.	PUNCT
ajst-29611	125	21	  	  	SPACE
ajst-29611	126	1	figure	figure	NOUN
ajst-29611	126	2	3	3	NUM
ajst-29611	126	3	.	.	PUNCT
ajst-29611	127	1	flowchart	flowchart	NOUN
ajst-29611	127	2	of	of	ADP
ajst-29611	127	3	ssa	ssa	PROPN
ajst-29611	127	4	-	-	PUNCT
ajst-29611	127	5	svr	svr	PROPN
ajst-29611	127	6	predictive	predictive	ADJ
ajst-29611	127	7	model	model	NOUN
ajst-29611	127	8	3.2	3.2	NUM
ajst-29611	127	9	.	.	PUNCT
ajst-29611	128	1	evaluation	evaluation	NOUN
ajst-29611	128	2	indexes	index	NOUN
ajst-29611	128	3	to	to	PART
ajst-29611	128	4	objectively	objectively	ADV
ajst-29611	128	5	evaluate	evaluate	VERB
ajst-29611	128	6	the	the	DET
ajst-29611	128	7	predictive	predictive	ADJ
ajst-29611	128	8	performance	performance	NOUN
ajst-29611	128	9	,	,	PUNCT
ajst-29611	128	10	this	this	DET
ajst-29611	128	11	paper	paper	NOUN
ajst-29611	128	12	employs	employ	VERB
ajst-29611	128	13	the	the	DET
ajst-29611	128	14	following	follow	VERB
ajst-29611	128	15	metrics	metric	NOUN
ajst-29611	128	16	to	to	PART
ajst-29611	128	17	assess	assess	VERB
ajst-29611	128	18	algorithm	algorithm	NOUN
ajst-29611	128	19	accuracy	accuracy	NOUN
ajst-29611	128	20	:	:	PUNCT
ajst-29611	128	21	mean	mean	VERB
ajst-29611	128	22	absolute	absolute	ADJ
ajst-29611	128	23	error	error	NOUN
ajst-29611	128	24	(	(	PUNCT
ajst-29611	128	25	mae	mae	PROPN
ajst-29611	128	26	)	)	PUNCT
ajst-29611	128	27	,	,	PUNCT
ajst-29611	128	28	root	root	NOUN
ajst-29611	128	29	mean	mean	VERB
ajst-29611	128	30	square	square	ADJ
ajst-29611	128	31	error	error	NOUN
ajst-29611	128	32	(	(	PUNCT
ajst-29611	128	33	rmse	rmse	NOUN
ajst-29611	128	34	)	)	PUNCT
ajst-29611	128	35	,	,	PUNCT
ajst-29611	128	36	and	and	CCONJ
ajst-29611	128	37	goodness	goodness	NOUN
ajst-29611	128	38	-	-	PUNCT
ajst-29611	128	39	of	of	ADP
ajst-29611	128	40	-	-	PUNCT
ajst-29611	128	41	fit	fit	ADJ
ajst-29611	128	42	(	(	PUNCT
ajst-29611	128	43	𝑅²	𝑅²	NUM
ajst-29611	128	44	)	)	PUNCT
ajst-29611	128	45	.	.	PUNCT
ajst-29611	129	1	mae	mae	PROPN
ajst-29611	129	2	and	and	CCONJ
ajst-29611	129	3	rmse	rmse	PROPN
ajst-29611	129	4	respectively	respectively	ADV
ajst-29611	129	5	measure	measure	VERB
ajst-29611	129	6	the	the	DET
ajst-29611	129	7	average	average	ADJ
ajst-29611	129	8	deviation	deviation	NOUN
ajst-29611	129	9	and	and	CCONJ
ajst-29611	129	10	error	error	NOUN
ajst-29611	129	11	between	between	ADP
ajst-29611	129	12	the	the	DET
ajst-29611	129	13	predicted	predict	VERB
ajst-29611	129	14	and	and	CCONJ
ajst-29611	129	15	actual	actual	ADJ
ajst-29611	129	16	values	value	NOUN
ajst-29611	129	17	,	,	PUNCT
ajst-29611	129	18	with	with	ADP
ajst-29611	129	19	lower	low	ADJ
ajst-29611	129	20	values	value	NOUN
ajst-29611	129	21	indicating	indicate	VERB
ajst-29611	129	22	better	well	ADJ
ajst-29611	129	23	predictive	predictive	ADJ
ajst-29611	129	24	accuracy	accuracy	NOUN
ajst-29611	129	25	.	.	PUNCT
ajst-29611	130	1	𝑅²	𝑅²	PROPN
ajst-29611	130	2	reflects	reflect	VERB
ajst-29611	130	3	the	the	DET
ajst-29611	130	4	proportion	proportion	NOUN
ajst-29611	130	5	of	of	ADP
ajst-29611	130	6	variance	variance	NOUN
ajst-29611	130	7	between	between	ADP
ajst-29611	130	8	the	the	DET
ajst-29611	130	9	predicted	predict	VERB
ajst-29611	130	10	and	and	CCONJ
ajst-29611	130	11	true	true	ADJ
ajst-29611	130	12	values	value	NOUN
ajst-29611	130	13	,	,	PUNCT
ajst-29611	130	14	ranging	range	VERB
ajst-29611	130	15	from	from	ADP
ajst-29611	130	16	0	0	NUM
ajst-29611	130	17	to	to	ADP
ajst-29611	130	18	1	1	NUM
ajst-29611	130	19	,	,	PUNCT
ajst-29611	130	20	where	where	SCONJ
ajst-29611	130	21	values	value	NOUN
ajst-29611	130	22	closer	close	ADV
ajst-29611	130	23	to	to	ADP
ajst-29611	130	24	1	1	NUM
ajst-29611	130	25	indicate	indicate	VERB
ajst-29611	130	26	a	a	DET
ajst-29611	130	27	better	well	ADJ
ajst-29611	130	28	fit	fit	NOUN
ajst-29611	130	29	.	.	PUNCT
ajst-29611	131	1	the	the	DET
ajst-29611	131	2	formulas	formula	NOUN
ajst-29611	131	3	for	for	ADP
ajst-29611	131	4	each	each	DET
ajst-29611	131	5	metric	metric	NOUN
ajst-29611	131	6	are	be	AUX
ajst-29611	131	7	as	as	SCONJ
ajst-29611	131	8	follows	follow	VERB
ajst-29611	131	9	:	:	PUNCT
ajst-29611	131	10	~	~	PUNCT
ajst-29611	131	11	~	~	PUNCT
ajst-29611	131	12	1	1	NUM
ajst-29611	131	13	1	1	NUM
ajst-29611	131	14	(	(	PUNCT
ajst-29611	131	15	,	,	PUNCT
ajst-29611	131	16	)	)	PUNCT
ajst-29611	132	1	n	n	CCONJ
ajst-29611	132	2	i	i	PRON
ajst-29611	133	1	i	i	PRON
ajst-29611	134	1	i	i	PRON
ajst-29611	134	2	mae	mae	PROPN
ajst-29611	134	3	y	y	PROPN
ajst-29611	134	4	y	y	PROPN
ajst-29611	134	5	y	y	PROPN
ajst-29611	134	6	y	y	PROPN
ajst-29611	135	1	n	n	CCONJ
ajst-29611	135	2			NUM
ajst-29611	135	3			NUM
ajst-29611	136	1			NOUN
ajst-29611	136	2	(	(	PUNCT
ajst-29611	136	3	13	13	NUM
ajst-29611	136	4	)	)	PUNCT
ajst-29611	136	5	2~	2~	NOUN
ajst-29611	136	6	~	~	PUNCT
ajst-29611	136	7	1	1	NUM
ajst-29611	136	8	1	1	NUM
ajst-29611	136	9	(	(	PUNCT
ajst-29611	136	10	,	,	PUNCT
ajst-29611	136	11	)	)	PUNCT
ajst-29611	136	12	n	n	CCONJ
ajst-29611	137	1	i	i	PRON
ajst-29611	137	2	i	i	PRON
ajst-29611	138	1	i	i	PRON
ajst-29611	138	2	rmse	rmse	VERB
ajst-29611	139	1	y	y	PROPN
ajst-29611	139	2	y	y	PROPN
ajst-29611	139	3	y	y	PROPN
ajst-29611	139	4	y	y	PROPN
ajst-29611	139	5	n	n	CCONJ
ajst-29611	139	6			PROPN
ajst-29611	139	7			NOUN
ajst-29611	139	8			PROPN
ajst-29611	140	1			PROPN
ajst-29611	140	2			PROPN
ajst-29611	140	3			PROPN
ajst-29611	140	4			NOUN
ajst-29611	140	5			X
ajst-29611	140	6	(	(	PUNCT
ajst-29611	140	7	14	14	NUM
ajst-29611	140	8	)	)	PUNCT
ajst-29611	140	9	2~	2~	NOUN
ajst-29611	140	10	~	~	SYM
ajst-29611	140	11	2	2	NUM
ajst-29611	140	12	1	1	NUM
ajst-29611	140	13	2~	2~	NUM
ajst-29611	140	14	1	1	NUM
ajst-29611	140	15	(	(	PUNCT
ajst-29611	140	16	,	,	PUNCT
ajst-29611	140	17	)	)	PUNCT
ajst-29611	140	18	1	1	NUM
ajst-29611	140	19	n	n	NOUN
ajst-29611	140	20	i	i	PRON
ajst-29611	141	1	i	i	PRON
ajst-29611	141	2	i	i	PRON
ajst-29611	142	1	n	n	VERB
ajst-29611	143	1	i	i	PRON
ajst-29611	144	1	i	i	INTJ
ajst-29611	144	2	y	y	VERB
ajst-29611	145	1	y	y	NOUN
ajst-29611	145	2	r	r	NOUN
ajst-29611	145	3	y	y	PROPN
ajst-29611	145	4	y	y	PROPN
ajst-29611	145	5	y	y	PROPN
ajst-29611	145	6	y	y	PROPN
ajst-29611	146	1			NUM
ajst-29611	146	2			PROPN
ajst-29611	146	3			NOUN
ajst-29611	146	4			NOUN
ajst-29611	146	5			PROPN
ajst-29611	146	6			PROPN
ajst-29611	146	7			PROPN
ajst-29611	146	8			PROPN
ajst-29611	146	9			NOUN
ajst-29611	146	10			PROPN
ajst-29611	146	11			PROPN
ajst-29611	146	12			PROPN
ajst-29611	146	13			PROPN
ajst-29611	146	14			X
ajst-29611	146	15			X
ajst-29611	146	16	(	(	PUNCT
ajst-29611	146	17	15	15	NUM
ajst-29611	146	18	)	)	PUNCT
ajst-29611	146	19	where	where	SCONJ
ajst-29611	146	20	y	y	PROPN
ajst-29611	146	21	represents	represent	VERB
ajst-29611	146	22	the	the	DET
ajst-29611	146	23	actual	actual	ADJ
ajst-29611	146	24	production	production	NOUN
ajst-29611	146	25	data	datum	NOUN
ajst-29611	146	26	,	,	PUNCT
ajst-29611	146	27	~	~	PUNCT
ajst-29611	146	28	y	y	PROPN
ajst-29611	146	29	represents	represent	VERB
ajst-29611	146	30	the	the	DET
ajst-29611	146	31	predicted	predict	VERB
ajst-29611	146	32	production	production	NOUN
ajst-29611	146	33	data	datum	NOUN
ajst-29611	146	34	,	,	PUNCT
ajst-29611	146	35	and	and	CCONJ
ajst-29611	146	36	n	n	PRON
ajst-29611	146	37	is	be	AUX
ajst-29611	146	38	the	the	DET
ajst-29611	146	39	number	number	NOUN
ajst-29611	146	40	of	of	ADP
ajst-29611	146	41	prediction	prediction	NOUN
ajst-29611	146	42	samples	sample	NOUN
ajst-29611	146	43	.	.	PUNCT
ajst-29611	147	1	4	4	X
ajst-29611	147	2	.	.	X
ajst-29611	147	3	experiments	experiment	NOUN
ajst-29611	147	4	and	and	CCONJ
ajst-29611	147	5	analysis	analysis	NOUN
ajst-29611	147	6	4.1	4.1	NUM
ajst-29611	147	7	.	.	PUNCT
ajst-29611	148	1	data	datum	NOUN
ajst-29611	148	2	source	source	VERB
ajst-29611	148	3	the	the	DET
ajst-29611	148	4	shi	shi	PROPN
ajst-29611	148	5	zhuang	zhuang	PROPN
ajst-29611	148	6	,	,	PUNCT
ajst-29611	148	7	south	south	ADJ
ajst-29611	148	8	block	block	NOUN
ajst-29611	148	9	,	,	PUNCT
ajst-29611	148	10	located	locate	VERB
ajst-29611	148	11	in	in	ADP
ajst-29611	148	12	the	the	DET
ajst-29611	148	13	southeastern	southeastern	ADJ
ajst-29611	148	14	part	part	NOUN
ajst-29611	148	15	of	of	ADP
ajst-29611	148	16	the	the	DET
ajst-29611	148	17	qin	qin	PROPN
ajst-29611	148	18	shui	shui	PROPN
ajst-29611	148	19	basin	basin	PROPN
ajst-29611	148	20	,	,	PUNCT
ajst-29611	148	21	is	be	AUX
ajst-29611	148	22	abundant	abundant	ADJ
ajst-29611	148	23	in	in	ADP
ajst-29611	148	24	coalbed	coalbe	VERB
ajst-29611	148	25	methane	methane	NOUN
ajst-29611	148	26	resources	resource	NOUN
ajst-29611	148	27	and	and	CCONJ
ajst-29611	148	28	ranks	rank	VERB
ajst-29611	148	29	among	among	ADP
ajst-29611	148	30	china	china	PROPN
ajst-29611	148	31	’s	’s	PART
ajst-29611	148	32	earliest	early	ADJ
ajst-29611	148	33	and	and	CCONJ
ajst-29611	148	34	primary	primary	ADJ
ajst-29611	148	35	blocks	block	NOUN
ajst-29611	148	36	for	for	ADP
ajst-29611	148	37	coalbed	coalbe	VERB
ajst-29611	148	38	methane	methane	NOUN
ajst-29611	148	39	exploration	exploration	NOUN
ajst-29611	148	40	and	and	CCONJ
ajst-29611	148	41	development	development	NOUN
ajst-29611	148	42	.	.	PUNCT
ajst-29611	149	1	the	the	DET
ajst-29611	149	2	main	main	ADJ
ajst-29611	149	3	coal	coal	NOUN
ajst-29611	149	4	seams	seam	NOUN
ajst-29611	149	5	in	in	ADP
ajst-29611	149	6	the	the	DET
ajst-29611	149	7	study	study	NOUN
ajst-29611	149	8	area	area	NOUN
ajst-29611	149	9	are	be	AUX
ajst-29611	149	10	the	the	DET
ajst-29611	149	11	#	#	SYM
ajst-29611	149	12	3	3	NUM
ajst-29611	149	13	and	and	CCONJ
ajst-29611	149	14	#	#	SYM
ajst-29611	149	15	15	15	NUM
ajst-29611	149	16	seams	seam	NOUN
ajst-29611	149	17	.	.	PUNCT
ajst-29611	150	1	the	the	DET
ajst-29611	150	2	#	#	SYM
ajst-29611	150	3	3	3	NUM
ajst-29611	150	4	seam	seam	NOUN
ajst-29611	150	5	,	,	PUNCT
ajst-29611	150	6	characterized	characterize	VERB
ajst-29611	150	7	by	by	ADP
ajst-29611	150	8	high	high	ADJ
ajst-29611	150	9	regional	regional	ADJ
ajst-29611	150	10	stability	stability	NOUN
ajst-29611	150	11	,	,	PUNCT
ajst-29611	150	12	lies	lie	VERB
ajst-29611	150	13	at	at	ADP
ajst-29611	150	14	depths	depth	NOUN
ajst-29611	150	15	of	of	ADP
ajst-29611	150	16	689.41	689.41	NUM
ajst-29611	150	17	to	to	ADP
ajst-29611	150	18	781.15	781.15	NUM
ajst-29611	150	19	m	m	NOUN
ajst-29611	150	20	,	,	PUNCT
ajst-29611	150	21	with	with	ADP
ajst-29611	150	22	a	a	DET
ajst-29611	150	23	thickness	thickness	NOUN
ajst-29611	150	24	of	of	ADP
ajst-29611	150	25	5	5	NUM
ajst-29611	150	26	to	to	PART
ajst-29611	150	27	6.52	6.52	NUM
ajst-29611	150	28	m	m	NOUN
ajst-29611	150	29	and	and	CCONJ
ajst-29611	150	30	a	a	DET
ajst-29611	150	31	gas	gas	NOUN
ajst-29611	150	32	content	content	NOUN
ajst-29611	150	33	ranging	range	VERB
ajst-29611	150	34	from	from	ADP
ajst-29611	150	35	10.24	10.24	NUM
ajst-29611	150	36	to	to	ADP
ajst-29611	150	37	19.84	19.84	NUM
ajst-29611	150	38	m³/t	m³/t	NOUN
ajst-29611	150	39	.	.	PUNCT
ajst-29611	151	1	this	this	DET
ajst-29611	151	2	seam	seam	NOUN
ajst-29611	151	3	offers	offer	VERB
ajst-29611	151	4	a	a	DET
ajst-29611	151	5	promising	promising	ADJ
ajst-29611	151	6	target	target	NOUN
ajst-29611	151	7	for	for	ADP
ajst-29611	151	8	coalbed	coalbe	VERB
ajst-29611	151	9	methane	methane	NOUN
ajst-29611	151	10	exploration	exploration	NOUN
ajst-29611	151	11	and	and	CCONJ
ajst-29611	151	12	is	be	AUX
ajst-29611	151	13	the	the	DET
ajst-29611	151	14	focal	focal	ADJ
ajst-29611	151	15	coal	coal	NOUN
ajst-29611	151	16	seam	seam	NOUN
ajst-29611	151	17	in	in	ADP
ajst-29611	151	18	this	this	DET
ajst-29611	151	19	study	study	NOUN
ajst-29611	151	20	.	.	PUNCT
ajst-29611	152	1	the	the	DET
ajst-29611	152	2	research	research	NOUN
ajst-29611	152	3	dataset	dataset	NOUN
ajst-29611	152	4	is	be	AUX
ajst-29611	152	5	sourced	source	VERB
ajst-29611	152	6	from	from	ADP
ajst-29611	152	7	the	the	DET
ajst-29611	152	8	shi	shi	PROPN
ajst-29611	152	9	zhuang	zhuang	PROPN
ajst-29611	152	10	south	south	PROPN
ajst-29611	152	11	block	block	PROPN
ajst-29611	152	12	,	,	PUNCT
ajst-29611	152	13	covering	cover	VERB
ajst-29611	152	14	daily	daily	ADJ
ajst-29611	152	15	gas	gas	NOUN
ajst-29611	152	16	production	production	NOUN
ajst-29611	152	17	data	datum	NOUN
ajst-29611	152	18	from	from	ADP
ajst-29611	152	19	november	november	PROPN
ajst-29611	152	20	2016	2016	NUM
ajst-29611	152	21	to	to	ADP
ajst-29611	152	22	september	september	PROPN
ajst-29611	152	23	2022	2022	NUM
ajst-29611	152	24	.	.	PUNCT
ajst-29611	153	1	this	this	DET
ajst-29611	153	2	dataset	dataset	NOUN
ajst-29611	153	3	includes	include	VERB
ajst-29611	153	4	nearly	nearly	ADV
ajst-29611	153	5	six	six	NUM
ajst-29611	153	6	years	year	NOUN
ajst-29611	153	7	of	of	ADP
ajst-29611	153	8	production	production	NOUN
ajst-29611	153	9	data	datum	NOUN
ajst-29611	153	10	from	from	ADP
ajst-29611	153	11	wells	well	NOUN
ajst-29611	153	12	in	in	ADP
ajst-29611	153	13	the	the	DET
ajst-29611	153	14	study	study	NOUN
ajst-29611	153	15	area	area	NOUN
ajst-29611	153	16	.	.	PUNCT
ajst-29611	154	1	due	due	ADP
ajst-29611	154	2	to	to	ADP
ajst-29611	154	3	potential	potential	ADJ
ajst-29611	154	4	influences	influence	NOUN
ajst-29611	154	5	such	such	ADJ
ajst-29611	154	6	as	as	ADP
ajst-29611	154	7	site	site	NOUN
ajst-29611	154	8	maintenance	maintenance	NOUN
ajst-29611	154	9	,	,	PUNCT
ajst-29611	154	10	unexpected	unexpected	ADJ
ajst-29611	154	11	failures	failure	NOUN
ajst-29611	154	12	,	,	PUNCT
ajst-29611	154	13	or	or	CCONJ
ajst-29611	154	14	other	other	ADJ
ajst-29611	154	15	uncontrollable	uncontrollable	ADJ
ajst-29611	154	16	external	external	ADJ
ajst-29611	154	17	factors	factor	NOUN
ajst-29611	154	18	during	during	ADP
ajst-29611	154	19	the	the	DET
ajst-29611	154	20	coalbed	coalbe	VERB
ajst-29611	154	21	methane	methane	NOUN
ajst-29611	154	22	extraction	extraction	NOUN
ajst-29611	154	23	phase	phase	NOUN
ajst-29611	154	24	,	,	PUNCT
ajst-29611	154	25	the	the	DET
ajst-29611	154	26	production	production	NOUN
ajst-29611	154	27	data	datum	NOUN
ajst-29611	154	28	may	may	AUX
ajst-29611	154	29	contain	contain	VERB
ajst-29611	154	30	missing	missing	ADJ
ajst-29611	154	31	values	value	NOUN
ajst-29611	154	32	or	or	CCONJ
ajst-29611	154	33	exhibit	exhibit	VERB
ajst-29611	154	34	extreme	extreme	ADJ
ajst-29611	154	35	variations	variation	NOUN
ajst-29611	154	36	,	,	PUNCT
ajst-29611	154	37	such	such	ADJ
ajst-29611	154	38	as	as	ADP
ajst-29611	154	39	sudden	sudden	ADJ
ajst-29611	154	40	drops	drop	NOUN
ajst-29611	154	41	or	or	CCONJ
ajst-29611	154	42	increases	increase	NOUN
ajst-29611	154	43	in	in	ADP
ajst-29611	154	44	production	production	NOUN
ajst-29611	154	45	.	.	PUNCT
ajst-29611	155	1	to	to	PART
ajst-29611	155	2	maintain	maintain	VERB
ajst-29611	155	3	data	data	NOUN
ajst-29611	155	4	integrity	integrity	NOUN
ajst-29611	155	5	and	and	CCONJ
ajst-29611	155	6	ensure	ensure	VERB
ajst-29611	155	7	the	the	DET
ajst-29611	155	8	effectiveness	effectiveness	NOUN
ajst-29611	155	9	of	of	ADP
ajst-29611	155	10	the	the	DET
ajst-29611	155	11	analysis	analysis	NOUN
ajst-29611	155	12	,	,	PUNCT
ajst-29611	155	13	this	this	DET
ajst-29611	155	14	study	study	NOUN
ajst-29611	155	15	adopts	adopt	VERB
ajst-29611	155	16	a	a	DET
ajst-29611	155	17	dual	dual	ADJ
ajst-29611	155	18	strategy	strategy	NOUN
ajst-29611	155	19	:	:	PUNCT
ajst-29611	155	20	outlier	outlier	NOUN
ajst-29611	155	21	removal	removal	NOUN
ajst-29611	155	22	and	and	CCONJ
ajst-29611	155	23	mean	mean	VERB
ajst-29611	155	24	imputation	imputation	NOUN
ajst-29611	155	25	for	for	ADP
ajst-29611	155	26	preprocessing	preprocesse	VERB
ajst-29611	155	27	.	.	PUNCT
ajst-29611	156	1	this	this	DET
ajst-29611	156	2	approach	approach	NOUN
ajst-29611	156	3	ensures	ensure	VERB
ajst-29611	156	4	both	both	CCONJ
ajst-29611	156	5	the	the	DET
ajst-29611	156	6	completeness	completeness	NOUN
ajst-29611	156	7	of	of	ADP
ajst-29611	156	8	the	the	DET
ajst-29611	156	9	dataset	dataset	NOUN
ajst-29611	156	10	and	and	CCONJ
ajst-29611	156	11	the	the	DET
ajst-29611	156	12	stability	stability	NOUN
ajst-29611	156	13	of	of	ADP
ajst-29611	156	14	the	the	DET
ajst-29611	156	15	model	model	NOUN
ajst-29611	156	16	.	.	PUNCT
ajst-29611	157	1	taking	take	VERB
ajst-29611	157	2	well	well	ADV
ajst-29611	157	3	299	299	NUM
ajst-29611	157	4	in	in	ADP
ajst-29611	157	5	the	the	DET
ajst-29611	157	6	target	target	NOUN
ajst-29611	157	7	area	area	NOUN
ajst-29611	157	8	as	as	ADP
ajst-29611	157	9	an	an	DET
ajst-29611	157	10	example	example	NOUN
ajst-29611	157	11	,	,	PUNCT
ajst-29611	157	12	after	after	ADP
ajst-29611	157	13	outlier	outlier	NOUN
ajst-29611	157	14	removal	removal	NOUN
ajst-29611	157	15	and	and	CCONJ
ajst-29611	157	16	mean	mean	ADJ
ajst-29611	157	17	imputation	imputation	NOUN
ajst-29611	157	18	,	,	PUNCT
ajst-29611	157	19	the	the	DET
ajst-29611	157	20	adjusted	adjust	VERB
ajst-29611	157	21	dataset	dataset	NOUN
ajst-29611	157	22	contains	contain	VERB
ajst-29611	157	23	1,958	1,958	NUM
ajst-29611	157	24	valid	valid	ADJ
ajst-29611	157	25	daily	daily	ADJ
ajst-29611	157	26	gas	gas	NOUN
ajst-29611	157	27	production	production	NOUN
ajst-29611	157	28	data	datum	NOUN
ajst-29611	157	29	points	point	NOUN
ajst-29611	157	30	.	.	PUNCT
ajst-29611	158	1	figure	figure	NOUN
ajst-29611	158	2	4	4	NUM
ajst-29611	158	3	shows	show	VERB
ajst-29611	158	4	the	the	DET
ajst-29611	158	5	time	time	NOUN
ajst-29611	158	6	-	-	PUNCT
ajst-29611	158	7	series	series	NOUN
ajst-29611	158	8	trend	trend	NOUN
ajst-29611	158	9	of	of	ADP
ajst-29611	158	10	the	the	DET
ajst-29611	158	11	imputed	impute	VERB
ajst-29611	158	12	data	datum	NOUN
ajst-29611	158	13	for	for	ADP
ajst-29611	158	14	some	some	DET
ajst-29611	158	15	wells	well	NOUN
ajst-29611	158	16	in	in	ADP
ajst-29611	158	17	the	the	DET
ajst-29611	158	18	target	target	NOUN
ajst-29611	158	19	study	study	NOUN
ajst-29611	158	20	area	area	NOUN
ajst-29611	158	21	.	.	PUNCT
ajst-29611	159	1	since	since	SCONJ
ajst-29611	159	2	the	the	DET
ajst-29611	159	3	model	model	NOUN
ajst-29611	159	4	is	be	AUX
ajst-29611	159	5	highly	highly	ADV
ajst-29611	159	6	sensitive	sensitive	ADJ
ajst-29611	159	7	to	to	ADP
ajst-29611	159	8	the	the	DET
ajst-29611	159	9	scale	scale	NOUN
ajst-29611	159	10	of	of	ADP
ajst-29611	159	11	input	input	NOUN
ajst-29611	159	12	data	datum	NOUN
ajst-29611	159	13	,	,	PUNCT
ajst-29611	159	14	the	the	DET
ajst-29611	159	15	data	data	NOUN
ajst-29611	159	16	is	be	AUX
ajst-29611	159	17	normalized	normalize	VERB
ajst-29611	159	18	using	use	VERB
ajst-29611	159	19	min	min	PROPN
ajst-29611	159	20	-	-	ADJ
ajst-29611	159	21	max	max	PROPN
ajst-29611	159	22	normalization	normalization	NOUN
ajst-29611	159	23	to	to	PART
ajst-29611	159	24	compress	compress	VERB
ajst-29611	159	25	the	the	DET
ajst-29611	159	26	time	time	NOUN
ajst-29611	159	27	series	series	PROPN
ajst-29611	159	28	data	datum	NOUN
ajst-29611	159	29	into	into	ADP
ajst-29611	159	30	the	the	DET
ajst-29611	159	31	[	[	X
ajst-29611	159	32	0	0	NUM
ajst-29611	159	33	,	,	PUNCT
ajst-29611	159	34	1	1	NUM
ajst-29611	159	35	]	]	PUNCT
ajst-29611	159	36	range	range	NOUN
ajst-29611	159	37	before	before	ADP
ajst-29611	159	38	being	be	AUX
ajst-29611	159	39	fed	feed	VERB
ajst-29611	159	40	into	into	ADP
ajst-29611	159	41	the	the	DET
ajst-29611	159	42	model	model	NOUN
ajst-29611	159	43	.	.	PUNCT
ajst-29611	160	1	this	this	DET
ajst-29611	160	2	normalization	normalization	NOUN
ajst-29611	160	3	enhances	enhance	VERB
ajst-29611	160	4	the	the	DET
ajst-29611	160	5	efficiency	efficiency	NOUN
ajst-29611	160	6	and	and	CCONJ
ajst-29611	160	7	stability	stability	NOUN
ajst-29611	160	8	of	of	ADP
ajst-29611	160	9	model	model	NOUN
ajst-29611	160	10	training	training	NOUN
ajst-29611	160	11	,	,	PUNCT
ajst-29611	160	12	enabling	enable	VERB
ajst-29611	160	13	faster	fast	ADJ
ajst-29611	160	14	convergence	convergence	NOUN
ajst-29611	160	15	and	and	CCONJ
ajst-29611	160	16	improved	improved	ADJ
ajst-29611	160	17	accuracy	accuracy	NOUN
ajst-29611	160	18	.	.	PUNCT
ajst-29611	161	1	after	after	ADP
ajst-29611	161	2	the	the	DET
ajst-29611	161	3	prediction	prediction	NOUN
ajst-29611	161	4	,	,	PUNCT
ajst-29611	161	5	the	the	DET
ajst-29611	161	6	data	data	NOUN
ajst-29611	161	7	is	be	AUX
ajst-29611	161	8	reverse	reverse	ADJ
ajst-29611	161	9	normalized	normalize	VERB
ajst-29611	161	10	to	to	ADP
ajst-29611	161	11	its	its	PRON
ajst-29611	161	12	original	original	ADJ
ajst-29611	161	13	scale	scale	NOUN
ajst-29611	161	14	for	for	ADP
ajst-29611	161	15	performance	performance	NOUN
ajst-29611	161	16	evaluation	evaluation	NOUN
ajst-29611	161	17	.	.	PUNCT
ajst-29611	162	1	regarding	regard	VERB
ajst-29611	162	2	dataset	dataset	ADJ
ajst-29611	162	3	splitting	splitting	NOUN
ajst-29611	162	4	,	,	PUNCT
ajst-29611	162	5	an	an	DET
ajst-29611	162	6	80:20	80:20	NUM
ajst-29611	162	7	ratio	ratio	NOUN
ajst-29611	162	8	was	be	AUX
ajst-29611	162	9	used	use	VERB
ajst-29611	162	10	to	to	PART
ajst-29611	162	11	divide	divide	VERB
ajst-29611	162	12	the	the	DET
ajst-29611	162	13	dataset	dataset	NOUN
ajst-29611	162	14	into	into	ADP
ajst-29611	162	15	a	a	DET
ajst-29611	162	16	training	training	NOUN
ajst-29611	162	17	set	set	NOUN
ajst-29611	162	18	and	and	CCONJ
ajst-29611	162	19	a	a	DET
ajst-29611	162	20	test	test	NOUN
ajst-29611	162	21	set	set	NOUN
ajst-29611	162	22	.	.	PUNCT
ajst-29611	163	1	the	the	DET
ajst-29611	163	2	training	training	NOUN
ajst-29611	163	3	set	set	NOUN
ajst-29611	163	4	contains	contain	VERB
ajst-29611	163	5	1,566	1,566	NUM
ajst-29611	163	6	data	datum	NOUN
ajst-29611	163	7	points	point	NOUN
ajst-29611	163	8	,	,	PUNCT
ajst-29611	163	9	while	while	SCONJ
ajst-29611	163	10	the	the	DET
ajst-29611	163	11	test	test	NOUN
ajst-29611	163	12	set	set	NOUN
ajst-29611	163	13	contains	contain	VERB
ajst-29611	163	14	392	392	NUM
ajst-29611	163	15	data	datum	NOUN
ajst-29611	163	16	points	point	NOUN
ajst-29611	163	17	.	.	PUNCT
ajst-29611	164	1	this	this	DET
ajst-29611	164	2	method	method	NOUN
ajst-29611	164	3	ensures	ensure	VERB
ajst-29611	164	4	both	both	DET
ajst-29611	164	5	data	datum	NOUN
ajst-29611	164	6	integrity	integrity	NOUN
ajst-29611	164	7	and	and	CCONJ
ajst-29611	164	8	model	model	NOUN
ajst-29611	164	9	stability	stability	NOUN
ajst-29611	164	10	,	,	PUNCT
ajst-29611	164	11	providing	provide	VERB
ajst-29611	164	12	a	a	DET
ajst-29611	164	13	reliable	reliable	ADJ
ajst-29611	164	14	start	start	NOUN
ajst-29611	164	15	input	input	NOUN
ajst-29611	164	16	training	training	NOUN
ajst-29611	164	17	data	datum	NOUN
ajst-29611	164	18	training	train	VERB
ajst-29611	164	19	the	the	DET
ajst-29611	164	20	svr	svr	PROPN
ajst-29611	164	21	model	model	NOUN
ajst-29611	164	22	calculating	calculate	VERB
ajst-29611	164	23	the	the	DET
ajst-29611	164	24	fitness	fitness	NOUN
ajst-29611	164	25	values	value	NOUN
ajst-29611	164	26	and	and	CCONJ
ajst-29611	164	27	sorting	sort	VERB
ajst-29611	164	28	updating	update	VERB
ajst-29611	164	29	producer	producer	NOUN
ajst-29611	164	30	's	's	PART
ajst-29611	164	31	position	position	NOUN
ajst-29611	164	32	updating	update	VERB
ajst-29611	164	33	follower	follower	NOUN
ajst-29611	164	34	's	's	PART
ajst-29611	164	35	position	position	NOUN
ajst-29611	164	36	updating	update	VERB
ajst-29611	164	37	scrounger	scrounger	NOUN
ajst-29611	164	38	's	's	PART
ajst-29611	164	39	position	position	NOUN
ajst-29611	164	40	calculating	calculate	VERB
ajst-29611	164	41	the	the	DET
ajst-29611	164	42	fitness	fitness	NOUN
ajst-29611	164	43	value	value	NOUN
ajst-29611	164	44	and	and	CCONJ
ajst-29611	164	45	updating	update	VERB
ajst-29611	164	46	the	the	DET
ajst-29611	164	47	current	current	ADJ
ajst-29611	164	48	best	good	ADJ
ajst-29611	164	49	position	position	NOUN
ajst-29611	164	50	satisfy	satisfy	VERB
ajst-29611	164	51	the	the	DET
ajst-29611	164	52	termination	termination	NOUN
ajst-29611	164	53	condition	condition	NOUN
ajst-29611	164	54	output	output	VERB
ajst-29611	164	55	the	the	DET
ajst-29611	164	56	optimal	optimal	ADJ
ajst-29611	164	57	parameters	parameter	NOUN
ajst-29611	164	58	yes	yes	INTJ
ajst-29611	164	59	no	no	INTJ
ajst-29611	164	60	obtain	obtain	VERB
ajst-29611	164	61	the	the	DET
ajst-29611	164	62	optimal	optimal	ADJ
ajst-29611	164	63	model	model	NOUN
ajst-29611	164	64	stop	stop	VERB
ajst-29611	164	65	sparrow	sparrow	PROPN
ajst-29611	164	66	population	population	NOUN
ajst-29611	164	67	initialization	initialization	NOUN
ajst-29611	164	68	206	206	NUM
ajst-29611	164	69	foundation	foundation	NOUN
ajst-29611	164	70	for	for	ADP
ajst-29611	164	71	subsequent	subsequent	ADJ
ajst-29611	164	72	model	model	NOUN
ajst-29611	164	73	training	training	NOUN
ajst-29611	164	74	and	and	CCONJ
ajst-29611	164	75	evaluation	evaluation	NOUN
ajst-29611	164	76	.	.	PUNCT
ajst-29611	165	1	figure	figure	VERB
ajst-29611	165	2	4	4	NUM
ajst-29611	165	3	presents	present	VERB
ajst-29611	165	4	the	the	DET
ajst-29611	165	5	temporal	temporal	ADJ
ajst-29611	165	6	trends	trend	NOUN
ajst-29611	165	7	of	of	ADP
ajst-29611	165	8	the	the	DET
ajst-29611	165	9	completed	complete	VERB
ajst-29611	165	10	data	datum	NOUN
ajst-29611	165	11	for	for	ADP
ajst-29611	165	12	selected	select	VERB
ajst-29611	165	13	wells	well	NOUN
ajst-29611	165	14	within	within	ADP
ajst-29611	165	15	the	the	DET
ajst-29611	165	16	target	target	NOUN
ajst-29611	165	17	study	study	NOUN
ajst-29611	165	18	area	area	NOUN
ajst-29611	165	19	.	.	PUNCT
ajst-29611	166	1	figure	figure	NOUN
ajst-29611	166	2	4	4	NUM
ajst-29611	166	3	.	.	PUNCT
ajst-29611	166	4	daily	daily	ADJ
ajst-29611	166	5	gas	gas	NOUN
ajst-29611	166	6	production	production	NOUN
ajst-29611	166	7	data	datum	NOUN
ajst-29611	166	8	of	of	ADP
ajst-29611	166	9	coalbed	coalbe	VERB
ajst-29611	166	10	methane	methane	NOUN
ajst-29611	166	11	wells	well	NOUN
ajst-29611	166	12	in	in	ADP
ajst-29611	166	13	the	the	DET
ajst-29611	166	14	target	target	NOUN
ajst-29611	166	15	area	area	NOUN
ajst-29611	166	16	4.2	4.2	NUM
ajst-29611	166	17	.	.	PUNCT
ajst-29611	167	1	vmd	vmd	PROPN
ajst-29611	167	2	decomposition	decomposition	NOUN
ajst-29611	167	3	the	the	DET
ajst-29611	167	4	selection	selection	NOUN
ajst-29611	167	5	of	of	ADP
ajst-29611	167	6	the	the	DET
ajst-29611	167	7	decomposition	decomposition	NOUN
ajst-29611	167	8	number	number	NOUN
ajst-29611	167	9	k	k	PROPN
ajst-29611	167	10	is	be	AUX
ajst-29611	167	11	critical	critical	ADJ
ajst-29611	167	12	when	when	SCONJ
ajst-29611	167	13	applying	apply	VERB
ajst-29611	167	14	vmd	vmd	NOUN
ajst-29611	167	15	to	to	ADP
ajst-29611	167	16	the	the	DET
ajst-29611	167	17	original	original	ADJ
ajst-29611	167	18	sequence	sequence	NOUN
ajst-29611	167	19	.	.	PUNCT
ajst-29611	168	1	when	when	SCONJ
ajst-29611	168	2	the	the	DET
ajst-29611	168	3	chosen	choose	VERB
ajst-29611	168	4	number	number	NOUN
ajst-29611	168	5	of	of	ADP
ajst-29611	168	6	modes	mode	NOUN
ajst-29611	168	7	is	be	AUX
ajst-29611	168	8	too	too	ADV
ajst-29611	168	9	small	small	ADJ
ajst-29611	168	10	,	,	PUNCT
ajst-29611	168	11	important	important	ADJ
ajst-29611	168	12	information	information	NOUN
ajst-29611	168	13	from	from	ADP
ajst-29611	168	14	the	the	DET
ajst-29611	168	15	original	original	ADJ
ajst-29611	168	16	signal	signal	NOUN
ajst-29611	168	17	may	may	AUX
ajst-29611	168	18	be	be	AUX
ajst-29611	168	19	filtered	filter	VERB
ajst-29611	168	20	out	out	ADP
ajst-29611	168	21	,	,	PUNCT
ajst-29611	168	22	which	which	PRON
ajst-29611	168	23	negatively	negatively	ADV
ajst-29611	168	24	impacts	impact	VERB
ajst-29611	168	25	the	the	DET
ajst-29611	168	26	accuracy	accuracy	NOUN
ajst-29611	168	27	of	of	ADP
ajst-29611	168	28	subsequent	subsequent	ADJ
ajst-29611	168	29	predictions	prediction	NOUN
ajst-29611	168	30	.	.	PUNCT
ajst-29611	169	1	on	on	ADP
ajst-29611	169	2	the	the	DET
ajst-29611	169	3	other	other	ADJ
ajst-29611	169	4	hand	hand	NOUN
ajst-29611	169	5	,	,	PUNCT
ajst-29611	169	6	when	when	SCONJ
ajst-29611	169	7	the	the	DET
ajst-29611	169	8	number	number	NOUN
ajst-29611	169	9	of	of	ADP
ajst-29611	169	10	modes	mode	NOUN
ajst-29611	169	11	is	be	AUX
ajst-29611	169	12	too	too	ADV
ajst-29611	169	13	large	large	ADJ
ajst-29611	169	14	,	,	PUNCT
ajst-29611	169	15	the	the	DET
ajst-29611	169	16	center	center	ADJ
ajst-29611	169	17	frequencies	frequency	NOUN
ajst-29611	169	18	of	of	ADP
ajst-29611	169	19	adjacent	adjacent	ADJ
ajst-29611	169	20	modes	mode	NOUN
ajst-29611	169	21	may	may	AUX
ajst-29611	169	22	become	become	VERB
ajst-29611	169	23	very	very	ADV
ajst-29611	169	24	close	close	ADJ
ajst-29611	169	25	to	to	ADP
ajst-29611	169	26	each	each	DET
ajst-29611	169	27	other	other	ADJ
ajst-29611	169	28	,	,	PUNCT
ajst-29611	169	29	leading	lead	VERB
ajst-29611	169	30	to	to	ADP
ajst-29611	169	31	mode	mode	NOUN
ajst-29611	169	32	redundancy	redundancy	NOUN
ajst-29611	169	33	or	or	CCONJ
ajst-29611	169	34	the	the	DET
ajst-29611	169	35	introduction	introduction	NOUN
ajst-29611	169	36	of	of	ADP
ajst-29611	169	37	additional	additional	ADJ
ajst-29611	169	38	noise	noise	NOUN
ajst-29611	169	39	.	.	PUNCT
ajst-29611	170	1	in	in	ADP
ajst-29611	170	2	this	this	DET
ajst-29611	170	3	study	study	NOUN
ajst-29611	170	4	,	,	PUNCT
ajst-29611	170	5	the	the	DET
ajst-29611	170	6	selection	selection	NOUN
ajst-29611	170	7	of	of	ADP
ajst-29611	170	8	k	k	PROPN
ajst-29611	170	9	is	be	AUX
ajst-29611	170	10	primarily	primarily	ADV
ajst-29611	170	11	determined	determine	VERB
ajst-29611	170	12	by	by	ADP
ajst-29611	170	13	combining	combine	VERB
ajst-29611	170	14	the	the	DET
ajst-29611	170	15	center	center	ADJ
ajst-29611	170	16	frequency	frequency	NOUN
ajst-29611	170	17	method	method	NOUN
ajst-29611	170	18	with	with	ADP
ajst-29611	170	19	frequency	frequency	NOUN
ajst-29611	170	20	aliasing	aliasing	NOUN
ajst-29611	170	21	considerations	consideration	NOUN
ajst-29611	170	22	.	.	PUNCT
ajst-29611	171	1	the	the	DET
ajst-29611	171	2	primary	primary	ADJ
ajst-29611	171	3	distinction	distinction	NOUN
ajst-29611	171	4	between	between	ADP
ajst-29611	171	5	different	different	ADJ
ajst-29611	171	6	modes	mode	NOUN
ajst-29611	171	7	lies	lie	VERB
ajst-29611	171	8	in	in	ADP
ajst-29611	171	9	their	their	PRON
ajst-29611	171	10	center	center	NOUN
ajst-29611	171	11	frequencies	frequency	NOUN
ajst-29611	171	12	.	.	PUNCT
ajst-29611	172	1	therefore	therefore	ADV
ajst-29611	172	2	,	,	PUNCT
ajst-29611	172	3	by	by	ADP
ajst-29611	172	4	analyzing	analyze	VERB
ajst-29611	172	5	the	the	DET
ajst-29611	172	6	variation	variation	NOUN
ajst-29611	172	7	of	of	ADP
ajst-29611	172	8	center	center	ADJ
ajst-29611	172	9	frequencies	frequency	NOUN
ajst-29611	172	10	under	under	ADP
ajst-29611	172	11	different	different	ADJ
ajst-29611	172	12	numbers	number	NOUN
ajst-29611	172	13	of	of	ADP
ajst-29611	172	14	modes	mode	NOUN
ajst-29611	172	15	,	,	PUNCT
ajst-29611	172	16	the	the	DET
ajst-29611	172	17	optimal	optimal	ADJ
ajst-29611	172	18	value	value	NOUN
ajst-29611	172	19	of	of	ADP
ajst-29611	172	20	k	k	PROPN
ajst-29611	172	21	can	can	AUX
ajst-29611	172	22	be	be	AUX
ajst-29611	172	23	reasonably	reasonably	ADV
ajst-29611	172	24	determined	determine	VERB
ajst-29611	172	25	.	.	PUNCT
ajst-29611	173	1	in	in	ADP
ajst-29611	173	2	this	this	DET
ajst-29611	173	3	study	study	NOUN
ajst-29611	173	4	,	,	PUNCT
ajst-29611	173	5	we	we	PRON
ajst-29611	173	6	select	select	VERB
ajst-29611	173	7	k	k	PROPN
ajst-29611	173	8	values	value	NOUN
ajst-29611	173	9	ranging	range	VERB
ajst-29611	173	10	from	from	ADP
ajst-29611	173	11	2	2	NUM
ajst-29611	173	12	to	to	ADP
ajst-29611	173	13	8	8	NUM
ajst-29611	173	14	for	for	ADP
ajst-29611	173	15	pre	pre	VERB
ajst-29611	173	16	-	-	ADJ
ajst-29611	173	17	decomposing	decompose	VERB
ajst-29611	173	18	the	the	DET
ajst-29611	173	19	signal	signal	NOUN
ajst-29611	173	20	and	and	CCONJ
ajst-29611	173	21	calculate	calculate	VERB
ajst-29611	173	22	the	the	DET
ajst-29611	173	23	center	center	ADJ
ajst-29611	173	24	frequency	frequency	NOUN
ajst-29611	173	25	of	of	ADP
ajst-29611	173	26	each	each	DET
ajst-29611	173	27	mode	mode	NOUN
ajst-29611	173	28	.	.	PUNCT
ajst-29611	174	1	when	when	SCONJ
ajst-29611	174	2	the	the	DET
ajst-29611	174	3	center	center	ADJ
ajst-29611	174	4	frequencies	frequency	NOUN
ajst-29611	174	5	of	of	ADP
ajst-29611	174	6	adjacent	adjacent	ADJ
ajst-29611	174	7	modes	mode	NOUN
ajst-29611	174	8	become	become	VERB
ajst-29611	174	9	close	close	ADJ
ajst-29611	174	10	,	,	PUNCT
ajst-29611	174	11	it	it	PRON
ajst-29611	174	12	is	be	AUX
ajst-29611	174	13	considered	consider	VERB
ajst-29611	174	14	an	an	DET
ajst-29611	174	15	indication	indication	NOUN
ajst-29611	174	16	of	of	ADP
ajst-29611	174	17	over	over	ADP
ajst-29611	174	18	-	-	PUNCT
ajst-29611	174	19	decomposition	decomposition	NOUN
ajst-29611	174	20	.	.	PUNCT
ajst-29611	175	1	in	in	ADP
ajst-29611	175	2	this	this	DET
ajst-29611	175	3	case	case	NOUN
ajst-29611	175	4	,	,	PUNCT
ajst-29611	175	5	the	the	DET
ajst-29611	175	6	optimal	optimal	ADJ
ajst-29611	175	7	number	number	NOUN
ajst-29611	175	8	of	of	ADP
ajst-29611	175	9	decomposition	decomposition	NOUN
ajst-29611	175	10	layers	layer	NOUN
ajst-29611	175	11	corresponds	correspond	VERB
ajst-29611	175	12	to	to	ADP
ajst-29611	175	13	the	the	DET
ajst-29611	175	14	k	k	PROPN
ajst-29611	175	15	value	value	NOUN
ajst-29611	175	16	of	of	ADP
ajst-29611	175	17	the	the	DET
ajst-29611	175	18	previous	previous	ADJ
ajst-29611	175	19	mode	mode	NOUN
ajst-29611	175	20	when	when	SCONJ
ajst-29611	175	21	the	the	DET
ajst-29611	175	22	center	center	NOUN
ajst-29611	175	23	frequencies	frequency	NOUN
ajst-29611	175	24	are	be	AUX
ajst-29611	175	25	close	close	ADJ
ajst-29611	175	26	.	.	PUNCT
ajst-29611	176	1	table	table	NOUN
ajst-29611	176	2	1	1	NUM
ajst-29611	176	3	presents	present	VERB
ajst-29611	176	4	the	the	DET
ajst-29611	176	5	center	center	ADJ
ajst-29611	176	6	frequency	frequency	NOUN
ajst-29611	176	7	values	value	NOUN
ajst-29611	176	8	of	of	ADP
ajst-29611	176	9	each	each	DET
ajst-29611	176	10	mode	mode	NOUN
ajst-29611	176	11	component	component	NOUN
ajst-29611	176	12	.	.	PUNCT
ajst-29611	177	1	table	table	NOUN
ajst-29611	177	2	1	1	NUM
ajst-29611	177	3	.	.	PUNCT
ajst-29611	178	1	center	center	NOUN
ajst-29611	178	2	frequencies	frequency	NOUN
ajst-29611	178	3	for	for	ADP
ajst-29611	178	4	different	different	ADJ
ajst-29611	178	5	values	value	NOUN
ajst-29611	178	6	of	of	ADP
ajst-29611	178	7	k	k	PROPN
ajst-29611	178	8	k	k	PROPN
ajst-29611	178	9	center	center	NOUN
ajst-29611	178	10	frequencies	frequency	NOUN
ajst-29611	178	11	/hz	/hz	PUNCT
ajst-29611	178	12	2	2	NUM
ajst-29611	178	13	0.000143	0.000143	NUM
ajst-29611	178	14	0.010697	0.010697	NUM
ajst-29611	178	15	3	3	NUM
ajst-29611	178	16	0.00012	0.00012	NUM
ajst-29611	178	17	0.00708	0.00708	NUM
ajst-29611	178	18	0.02788	0.02788	NUM
ajst-29611	178	19	4	4	NUM
ajst-29611	178	20	0.000112	0.000112	NUM
ajst-29611	178	21	0.006238	0.006238	NUM
ajst-29611	178	22	0.022873	0.022873	NUM
ajst-29611	178	23	0.053907	0.053907	NUM
ajst-29611	178	24	5	5	NUM
ajst-29611	178	25	0.000111	0.000111	NUM
ajst-29611	178	26	0.006114	0.006114	NUM
ajst-29611	178	27	0.02204	0.02204	NUM
ajst-29611	178	28	0.049143	0.049143	NUM
ajst-29611	178	29	0.087932	0.087932	NUM
ajst-29611	178	30	6	6	NUM
ajst-29611	178	31	0.00011	0.00011	NUM
ajst-29611	178	32	0.006013	0.006013	NUM
ajst-29611	179	1	0.021903	0.021903	NUM
ajst-29611	179	2	0.049035	0.049035	NUM
ajst-29611	179	3	0.0877	0.0877	NUM
ajst-29611	179	4	0.411148	0.411148	NUM
ajst-29611	179	5	7	7	NUM
ajst-29611	179	6	0.00011	0.00011	NUM
ajst-29611	179	7	0.005969	0.005969	NUM
ajst-29611	180	1	0.02174	0.02174	NUM
ajst-29611	180	2	0.048479	0.048479	NUM
ajst-29611	180	3	0.084346	0.084346	NUM
ajst-29611	180	4	0.150367	0.150367	NUM
ajst-29611	180	5	0.413322	0.413322	NUM
ajst-29611	180	6	8	8	NUM
ajst-29611	180	7	0.00011	0.00011	NUM
ajst-29611	180	8	0.005961	0.005961	NUM
ajst-29611	180	9	0.02172	0.02172	NUM
ajst-29611	180	10	0.048427	0.048427	NUM
ajst-29611	180	11	0.084089	0.084089	NUM
ajst-29611	180	12	0.148192	0.148192	NUM
ajst-29611	180	13	0.355827	0.355827	NUM
ajst-29611	180	14	0.417711	0.417711	NOUN
ajst-29611	180	15	the	the	DET
ajst-29611	180	16	data	datum	NOUN
ajst-29611	180	17	presented	present	VERB
ajst-29611	180	18	in	in	ADP
ajst-29611	180	19	table	table	NOUN
ajst-29611	180	20	1	1	NUM
ajst-29611	180	21	reveals	reveal	VERB
ajst-29611	180	22	that	that	SCONJ
ajst-29611	180	23	when	when	SCONJ
ajst-29611	180	24	k	k	PROPN
ajst-29611	180	25	is	be	AUX
ajst-29611	180	26	set	set	VERB
ajst-29611	180	27	to	to	ADP
ajst-29611	180	28	8	8	NUM
ajst-29611	180	29	,	,	PUNCT
ajst-29611	180	30	when	when	SCONJ
ajst-29611	180	31	the	the	DET
ajst-29611	180	32	number	number	NOUN
ajst-29611	180	33	of	of	ADP
ajst-29611	180	34	decomposition	decomposition	NOUN
ajst-29611	180	35	layers	layer	NOUN
ajst-29611	180	36	is	be	AUX
ajst-29611	180	37	8	8	NUM
ajst-29611	180	38	,	,	PUNCT
ajst-29611	180	39	the	the	DET
ajst-29611	180	40	center	center	ADJ
ajst-29611	180	41	frequencies	frequency	NOUN
ajst-29611	180	42	of	of	ADP
ajst-29611	180	43	imf7	imf7	NOUN
ajst-29611	180	44	and	and	CCONJ
ajst-29611	180	45	imf8	imf8	PROPN
ajst-29611	180	46	are	be	AUX
ajst-29611	180	47	found	find	VERB
ajst-29611	180	48	to	to	PART
ajst-29611	180	49	be	be	AUX
ajst-29611	180	50	very	very	ADV
ajst-29611	180	51	close	close	ADJ
ajst-29611	180	52	,	,	PUNCT
ajst-29611	180	53	with	with	ADP
ajst-29611	180	54	the	the	DET
ajst-29611	180	55	growth	growth	NOUN
ajst-29611	180	56	rate	rate	NOUN
ajst-29611	180	57	not	not	PART
ajst-29611	180	58	exceeding	exceed	VERB
ajst-29611	180	59	20	20	NUM
ajst-29611	180	60	%	%	NOUN
ajst-29611	180	61	,	,	PUNCT
ajst-29611	180	62	and	and	CCONJ
ajst-29611	180	63	the	the	DET
ajst-29611	180	64	rate	rate	NOUN
ajst-29611	180	65	of	of	ADP
ajst-29611	180	66	increase	increase	NOUN
ajst-29611	180	67	significantly	significantly	ADV
ajst-29611	180	68	drops	drop	VERB
ajst-29611	180	69	.	.	PUNCT
ajst-29611	181	1	this	this	PRON
ajst-29611	181	2	indicates	indicate	VERB
ajst-29611	181	3	that	that	SCONJ
ajst-29611	181	4	the	the	DET
ajst-29611	181	5	frequency	frequency	NOUN
ajst-29611	181	6	variation	variation	NOUN
ajst-29611	181	7	introduced	introduce	VERB
ajst-29611	181	8	by	by	ADP
ajst-29611	181	9	the	the	DET
ajst-29611	181	10	new	new	ADJ
ajst-29611	181	11	mode	mode	NOUN
ajst-29611	181	12	is	be	AUX
ajst-29611	181	13	minimal	minimal	ADJ
ajst-29611	181	14	,	,	PUNCT
ajst-29611	181	15	potentially	potentially	ADV
ajst-29611	181	16	introducing	introduce	VERB
ajst-29611	181	17	redundant	redundant	ADJ
ajst-29611	181	18	information	information	NOUN
ajst-29611	181	19	.	.	PUNCT
ajst-29611	182	1	in	in	ADP
ajst-29611	182	2	addition	addition	NOUN
ajst-29611	182	3	,	,	PUNCT
ajst-29611	182	4	the	the	DET
ajst-29611	182	5	frequency	frequency	NOUN
ajst-29611	182	6	spectrum	spectrum	NOUN
ajst-29611	182	7	obtained	obtain	VERB
ajst-29611	182	8	by	by	ADP
ajst-29611	182	9	performing	perform	VERB
ajst-29611	182	10	the	the	DET
ajst-29611	182	11	fast	fast	ADJ
ajst-29611	182	12	fourier	fourier	NOUN
ajst-29611	182	13	transform	transform	NOUN
ajst-29611	182	14	(	(	PUNCT
ajst-29611	182	15	fft	fft	PROPN
ajst-29611	182	16	)	)	PUNCT
ajst-29611	182	17	with	with	ADP
ajst-29611	182	18	k	k	PROPN
ajst-29611	182	19	=	=	SYM
ajst-29611	182	20	8	8	NUM
ajst-29611	182	21	is	be	AUX
ajst-29611	182	22	shown	show	VERB
ajst-29611	182	23	in	in	ADP
ajst-29611	182	24	figure	figure	NOUN
ajst-29611	182	25	5	5	NUM
ajst-29611	182	26	.	.	PUNCT
ajst-29611	183	1	it	it	PRON
ajst-29611	183	2	can	can	AUX
ajst-29611	183	3	be	be	AUX
ajst-29611	183	4	observed	observe	VERB
ajst-29611	183	5	that	that	SCONJ
ajst-29611	183	6	mode	mode	NOUN
ajst-29611	183	7	mixing	mix	VERB
ajst-29611	183	8	occurs	occur	VERB
ajst-29611	183	9	when	when	SCONJ
ajst-29611	183	10	the	the	DET
ajst-29611	183	11	decomposition	decomposition	NOUN
ajst-29611	183	12	level	level	NOUN
ajst-29611	183	13	is	be	AUX
ajst-29611	183	14	set	set	VERB
ajst-29611	183	15	to	to	ADP
ajst-29611	183	16	8	8	NUM
ajst-29611	183	17	.	.	PUNCT
ajst-29611	184	1	therefore	therefore	ADV
ajst-29611	184	2	,	,	PUNCT
ajst-29611	184	3	the	the	DET
ajst-29611	184	4	optimal	optimal	ADJ
ajst-29611	184	5	decomposition	decomposition	NOUN
ajst-29611	184	6	level	level	NOUN
ajst-29611	184	7	for	for	ADP
ajst-29611	184	8	vmd	vmd	PROPN
ajst-29611	184	9	is	be	AUX
ajst-29611	184	10	determined	determine	VERB
ajst-29611	184	11	to	to	PART
ajst-29611	184	12	be	be	AUX
ajst-29611	184	13	7	7	NUM
ajst-29611	184	14	.	.	PUNCT
ajst-29611	185	1	the	the	DET
ajst-29611	185	2	penalty	penalty	NOUN
ajst-29611	185	3	parameter	parameter	NOUN
ajst-29611	185	4	(	(	PUNCT
ajst-29611	185	5	α	α	NOUN
ajst-29611	185	6	)	)	PUNCT
ajst-29611	185	7	in	in	ADP
ajst-29611	185	8	the	the	DET
ajst-29611	185	9	vmd	vmd	PROPN
ajst-29611	185	10	algorithm	algorithm	NOUN
ajst-29611	185	11	also	also	ADV
ajst-29611	185	12	significantly	significantly	ADV
ajst-29611	185	13	influences	influence	VERB
ajst-29611	185	14	the	the	DET
ajst-29611	185	15	decomposition	decomposition	NOUN
ajst-29611	185	16	results	result	NOUN
ajst-29611	185	17	.	.	PUNCT
ajst-29611	186	1	research	research	NOUN
ajst-29611	186	2	has	have	AUX
ajst-29611	186	3	shown	show	VERB
ajst-29611	186	4	that	that	SCONJ
ajst-29611	186	5	as	as	ADP
ajst-29611	186	6	the	the	DET
ajst-29611	186	7	penalty	penalty	NOUN
ajst-29611	186	8	parameter	parameter	NOUN
ajst-29611	187	1	α	α	PROPN
ajst-29611	187	2	decreases	decrease	VERB
ajst-29611	187	3	,	,	PUNCT
ajst-29611	187	4	the	the	DET
ajst-29611	187	5	bandwidth	bandwidth	NOUN
ajst-29611	187	6	of	of	ADP
ajst-29611	187	7	the	the	DET
ajst-29611	187	8	obtained	obtain	VERB
ajst-29611	187	9	imf	imf	PROPN
ajst-29611	187	10	components	component	NOUN
ajst-29611	187	11	increases	increase	NOUN
ajst-29611	187	12	.	.	PUNCT
ajst-29611	188	1	conversely	conversely	ADV
ajst-29611	188	2	,	,	PUNCT
ajst-29611	188	3	as	as	ADP
ajst-29611	188	4	α	α	PRON
ajst-29611	188	5	increases	increase	NOUN
ajst-29611	188	6	,	,	PUNCT
ajst-29611	188	7	the	the	DET
ajst-29611	188	8	bandwidth	bandwidth	NOUN
ajst-29611	188	9	of	of	ADP
ajst-29611	188	10	the	the	DET
ajst-29611	188	11	components	component	NOUN
ajst-29611	188	12	decreases	decrease	VERB
ajst-29611	188	13	.	.	PUNCT
ajst-29611	189	1	after	after	ADP
ajst-29611	189	2	determining	determine	VERB
ajst-29611	189	3	the	the	DET
ajst-29611	189	4	number	number	NOUN
ajst-29611	189	5	of	of	ADP
ajst-29611	189	6	decomposition	decomposition	NOUN
ajst-29611	189	7	modes	mode	NOUN
ajst-29611	189	8	(	(	PUNCT
ajst-29611	189	9	k	k	NOUN
ajst-29611	189	10	)	)	PUNCT
ajst-29611	189	11	,	,	PUNCT
ajst-29611	189	12	multiple	multiple	ADJ
ajst-29611	189	13	experiments	experiment	NOUN
ajst-29611	189	14	were	be	AUX
ajst-29611	189	15	conducted	conduct	VERB
ajst-29611	189	16	to	to	PART
ajst-29611	189	17	adjust	adjust	VERB
ajst-29611	189	18	the	the	DET
ajst-29611	189	19	value	value	NOUN
ajst-29611	189	20	of	of	ADP
ajst-29611	189	21	α	α	NOUN
ajst-29611	189	22	and	and	CCONJ
ajst-29611	189	23	verify	verify	VERB
ajst-29611	189	24	the	the	DET
ajst-29611	189	25	decomposition	decomposition	NOUN
ajst-29611	189	26	performance	performance	NOUN
ajst-29611	189	27	.	.	PUNCT
ajst-29611	190	1	several	several	ADJ
ajst-29611	190	2	common	common	ADJ
ajst-29611	190	3	α	α	NOUN
ajst-29611	190	4	values	value	NOUN
ajst-29611	190	5	(	(	PUNCT
ajst-29611	190	6	100	100	NUM
ajst-29611	190	7	,	,	PUNCT
ajst-29611	190	8	500	500	NUM
ajst-29611	190	9	,	,	PUNCT
ajst-29611	190	10	1000	1000	NUM
ajst-29611	190	11	,	,	PUNCT
ajst-29611	190	12	2000	2000	NUM
ajst-29611	190	13	)	)	PUNCT
ajst-29611	190	14	were	be	AUX
ajst-29611	190	15	selected	select	VERB
ajst-29611	190	16	,	,	PUNCT
ajst-29611	190	17	and	and	CCONJ
ajst-29611	190	18	the	the	DET
ajst-29611	190	19	mean	mean	ADJ
ajst-29611	190	20	square	square	ADJ
ajst-29611	190	21	error	error	NOUN
ajst-29611	190	22	(	(	PUNCT
ajst-29611	190	23	mse	mse	NOUN
ajst-29611	190	24	)	)	PUNCT
ajst-29611	190	25	was	be	AUX
ajst-29611	190	26	used	use	VERB
ajst-29611	190	27	to	to	PART
ajst-29611	190	28	evaluate	evaluate	VERB
ajst-29611	190	29	the	the	DET
ajst-29611	190	30	error	error	NOUN
ajst-29611	190	31	between	between	ADP
ajst-29611	190	32	the	the	DET
ajst-29611	190	33	original	original	ADJ
ajst-29611	190	34	signal	signal	NOUN
ajst-29611	190	35	and	and	CCONJ
ajst-29611	190	36	the	the	DET
ajst-29611	190	37	signal	signal	NOUN
ajst-29611	190	38	obtained	obtain	VERB
ajst-29611	190	39	after	after	ADP
ajst-29611	190	40	vmd	vmd	PROPN
ajst-29611	190	41	decomposition	decomposition	NOUN
ajst-29611	190	42	and	and	CCONJ
ajst-29611	190	43	reconstruction	reconstruction	NOUN
ajst-29611	190	44	.	.	PUNCT
ajst-29611	191	1	the	the	PRON
ajst-29611	191	2	smaller	small	ADJ
ajst-29611	191	3	the	the	DET
ajst-29611	191	4	error	error	NOUN
ajst-29611	191	5	,	,	PUNCT
ajst-29611	191	6	the	the	PRON
ajst-29611	191	7	higher	high	ADJ
ajst-29611	191	8	the	the	DET
ajst-29611	191	9	correlation	correlation	NOUN
ajst-29611	191	10	between	between	ADP
ajst-29611	191	11	the	the	DET
ajst-29611	191	12	reconstructed	reconstructed	ADJ
ajst-29611	191	13	result	result	NOUN
ajst-29611	191	14	and	and	CCONJ
ajst-29611	191	15	the	the	DET
ajst-29611	191	16	original	original	ADJ
ajst-29611	191	17	signal	signal	NOUN
ajst-29611	191	18	.	.	PUNCT
ajst-29611	192	1	the	the	DET
ajst-29611	192	2	signal	signal	NOUN
ajst-29611	192	3	-	-	PUNCT
ajst-29611	192	4	to	to	ADP
ajst-29611	192	5	-	-	PUNCT
ajst-29611	192	6	noise	noise	NOUN
ajst-29611	192	7	ratio	ratio	NOUN
ajst-29611	192	8	(	(	PUNCT
ajst-29611	192	9	snr	snr	PROPN
ajst-29611	192	10	)	)	PUNCT
ajst-29611	192	11	was	be	AUX
ajst-29611	192	12	used	use	VERB
ajst-29611	192	13	to	to	PART
ajst-29611	192	14	evaluate	evaluate	VERB
ajst-29611	192	15	the	the	DET
ajst-29611	192	16	ratio	ratio	NOUN
ajst-29611	192	17	between	between	ADP
ajst-29611	192	18	the	the	DET
ajst-29611	192	19	signal	signal	NOUN
ajst-29611	192	20	and	and	CCONJ
ajst-29611	192	21	noise	noise	NOUN
ajst-29611	192	22	;	;	PUNCT
ajst-29611	192	23	a	a	DET
ajst-29611	192	24	higher	high	ADJ
ajst-29611	192	25	snr	snr	NOUN
ajst-29611	192	26	indicates	indicate	VERB
ajst-29611	192	27	better	well	ADJ
ajst-29611	192	28	reconstruction	reconstruction	NOUN
ajst-29611	192	29	performance	performance	NOUN
ajst-29611	192	30	.	.	PUNCT
ajst-29611	193	1	the	the	DET
ajst-29611	193	2	experimental	experimental	ADJ
ajst-29611	193	3	results	result	NOUN
ajst-29611	193	4	are	be	AUX
ajst-29611	193	5	shown	show	VERB
ajst-29611	193	6	in	in	ADP
ajst-29611	193	7	the	the	DET
ajst-29611	193	8	table	table	NOUN
ajst-29611	193	9	2	2	NUM
ajst-29611	193	10	.	.	PUNCT
ajst-29611	194	1	the	the	DET
ajst-29611	194	2	experimental	experimental	ADJ
ajst-29611	194	3	results	result	NOUN
ajst-29611	194	4	show	show	VERB
ajst-29611	194	5	that	that	SCONJ
ajst-29611	194	6	the	the	DET
ajst-29611	194	7	decomposition	decomposition	NOUN
ajst-29611	194	8	performs	perform	VERB
ajst-29611	194	9	best	good	ADJ
ajst-29611	194	10	when	when	SCONJ
ajst-29611	194	11	α	α	PROPN
ajst-29611	194	12	=	=	SYM
ajst-29611	194	13	500	500	NUM
ajst-29611	194	14	,	,	PUNCT
ajst-29611	194	15	as	as	SCONJ
ajst-29611	194	16	this	this	DET
ajst-29611	194	17	value	value	NOUN
ajst-29611	194	18	provides	provide	VERB
ajst-29611	194	19	the	the	DET
ajst-29611	194	20	optimal	optimal	ADJ
ajst-29611	194	21	balance	balance	NOUN
ajst-29611	194	22	between	between	ADP
ajst-29611	194	23	denoising	denoising	NOUN
ajst-29611	194	24	effectiveness	effectiveness	NOUN
ajst-29611	194	25	and	and	CCONJ
ajst-29611	194	26	the	the	DET
ajst-29611	194	27	preservation	preservation	NOUN
ajst-29611	194	28	of	of	ADP
ajst-29611	194	29	details	detail	NOUN
ajst-29611	194	30	during	during	ADP
ajst-29611	194	31	the	the	DET
ajst-29611	194	32	vmd	vmd	PROPN
ajst-29611	194	33	decomposition	decomposition	NOUN
ajst-29611	194	34	process	process	NOUN
ajst-29611	194	35	.	.	PUNCT
ajst-29611	195	1	0	0	NUM
ajst-29611	196	1	300	300	NUM
ajst-29611	196	2	600	600	NUM
ajst-29611	196	3	900	900	NUM
ajst-29611	196	4	1200	1200	NUM
ajst-29611	196	5	1500	1500	NUM
ajst-29611	196	6	1800	1800	NUM
ajst-29611	196	7	0	0	NUM
ajst-29611	197	1	200	200	NUM
ajst-29611	197	2	400	400	NUM
ajst-29611	197	3	600	600	NUM
ajst-29611	197	4	800	800	NUM
ajst-29611	197	5	1000	1000	NUM
ajst-29611	197	6	d	d	AUX
ajst-29611	197	7	ai	ai	VERB
ajst-29611	197	8	ly	ly	ADP
ajst-29611	197	9	g	g	NOUN
ajst-29611	197	10	as	as	ADP
ajst-29611	197	11	p	p	X
ajst-29611	197	12	ro	ro	INTJ
ajst-29611	197	13	du	du	PROPN
ajst-29611	197	14	ct	ct	PROPN
ajst-29611	197	15	io	io	PROPN
ajst-29611	197	16	n	n	CCONJ
ajst-29611	197	17	(	(	PUNCT
ajst-29611	197	18	m	m	PROPN
ajst-29611	197	19	³	³	X
ajst-29611	197	20	)	)	PUNCT
ajst-29611	197	21	time(day	time(day	NOUN
ajst-29611	197	22	)	)	PUNCT
ajst-29611	197	23	(	(	PUNCT
ajst-29611	197	24	a	a	X
ajst-29611	197	25	)	)	PUNCT
ajst-29611	197	26	well	well	INTJ
ajst-29611	198	1	no.299	no.299	NOUN
ajst-29611	198	2	test	test	NOUN
ajst-29611	198	3	data:20	data:20	PROPN
ajst-29611	198	4	%	%	NOUN
ajst-29611	198	5	train	train	NOUN
ajst-29611	198	6	data:80	data:80	X
ajst-29611	198	7	%	%	NOUN
ajst-29611	198	8	100	100	NUM
ajst-29611	198	9	200	200	NUM
ajst-29611	199	1	300	300	NUM
ajst-29611	199	2	400	400	NUM
ajst-29611	199	3	500	500	NUM
ajst-29611	199	4	100	100	NUM
ajst-29611	199	5	200	200	NUM
ajst-29611	199	6	300	300	NUM
ajst-29611	199	7	400	400	NUM
ajst-29611	199	8	500	500	NUM
ajst-29611	199	9	100	100	NUM
ajst-29611	199	10	150	150	NUM
ajst-29611	199	11	200	200	NUM
ajst-29611	199	12	250	250	NUM
ajst-29611	199	13	300	300	NUM
ajst-29611	199	14	350	350	NUM
ajst-29611	199	15	100	100	NUM
ajst-29611	199	16	150	150	NUM
ajst-29611	199	17	200	200	NUM
ajst-29611	199	18	250	250	NUM
ajst-29611	199	19	300	300	NUM
ajst-29611	199	20	350	350	NUM
ajst-29611	199	21	0	0	NUM
ajst-29611	199	22	300	300	NUM
ajst-29611	199	23	600	600	NUM
ajst-29611	199	24	900	900	NUM
ajst-29611	199	25	1200	1200	NUM
ajst-29611	199	26	1500	1500	NUM
ajst-29611	199	27	1800	1800	NUM
ajst-29611	199	28	0	0	NUM
ajst-29611	199	29	200	200	NUM
ajst-29611	199	30	400	400	NUM
ajst-29611	199	31	600	600	NUM
ajst-29611	199	32	800	800	NUM
ajst-29611	199	33	1000	1000	NUM
ajst-29611	199	34	d	d	AUX
ajst-29611	199	35	ai	ai	VERB
ajst-29611	199	36	ly	ly	ADP
ajst-29611	199	37	g	g	NOUN
ajst-29611	199	38	as	as	ADP
ajst-29611	199	39	p	p	X
ajst-29611	199	40	ro	ro	INTJ
ajst-29611	199	41	du	du	PROPN
ajst-29611	199	42	ct	ct	PROPN
ajst-29611	199	43	io	io	PROPN
ajst-29611	199	44	n	n	CCONJ
ajst-29611	199	45	(	(	PUNCT
ajst-29611	199	46	m	m	PROPN
ajst-29611	199	47	³	³	X
ajst-29611	199	48	)	)	PUNCT
ajst-29611	199	49	time(day	time(day	NOUN
ajst-29611	199	50	)	)	PUNCT
ajst-29611	199	51	(	(	PUNCT
ajst-29611	199	52	b	b	X
ajst-29611	199	53	)	)	PUNCT
ajst-29611	199	54	well	well	INTJ
ajst-29611	199	55	no.300	no.300	PROPN
ajst-29611	199	56	test	test	NOUN
ajst-29611	199	57	data:20	data:20	PROPN
ajst-29611	199	58	%	%	NOUN
ajst-29611	199	59	train	train	NOUN
ajst-29611	199	60	data:80	data:80	NOUN
ajst-29611	199	61	%	%	NOUN
ajst-29611	199	62	0	0	NUM
ajst-29611	199	63	100	100	NUM
ajst-29611	199	64	200	200	NUM
ajst-29611	199	65	300	300	NUM
ajst-29611	199	66	400	400	NUM
ajst-29611	199	67	500	500	NUM
ajst-29611	199	68	0	0	NUM
ajst-29611	199	69	100	100	NUM
ajst-29611	199	70	200	200	NUM
ajst-29611	199	71	300	300	NUM
ajst-29611	199	72	400	400	NUM
ajst-29611	199	73	500	500	NUM
ajst-29611	199	74	100	100	NUM
ajst-29611	199	75	150	150	NUM
ajst-29611	199	76	200	200	NUM
ajst-29611	199	77	250	250	NUM
ajst-29611	199	78	300	300	NUM
ajst-29611	199	79	350	350	NUM
ajst-29611	199	80	100	100	NUM
ajst-29611	199	81	150	150	NUM
ajst-29611	199	82	200	200	NUM
ajst-29611	199	83	250	250	NUM
ajst-29611	199	84	300	300	NUM
ajst-29611	199	85	350	350	NUM
ajst-29611	199	86	207	207	NUM
ajst-29611	199	87	figure	figure	NOUN
ajst-29611	199	88	5	5	NUM
ajst-29611	199	89	.	.	PUNCT
ajst-29611	200	1	the	the	DET
ajst-29611	200	2	frequency	frequency	NOUN
ajst-29611	200	3	spectrum	spectrum	NOUN
ajst-29611	200	4	of	of	ADP
ajst-29611	200	5	the	the	DET
ajst-29611	200	6	mode	mode	NOUN
ajst-29611	200	7	components	component	NOUN
ajst-29611	200	8	at	at	ADP
ajst-29611	200	9	k	k	PROPN
ajst-29611	200	10	=	=	ADJ
ajst-29611	200	11	8	8	X
ajst-29611	200	12	.	.	PUNCT
ajst-29611	200	13	table	table	NOUN
ajst-29611	200	14	2	2	NUM
ajst-29611	200	15	.	.	PUNCT
ajst-29611	200	16	performance	performance	NOUN
ajst-29611	200	17	evaluation	evaluation	NOUN
ajst-29611	200	18	of	of	ADP
ajst-29611	200	19	vmd	vmd	NOUN
ajst-29611	200	20	decomposition	decomposition	NOUN
ajst-29611	200	21	for	for	ADP
ajst-29611	200	22	varying	vary	VERB
ajst-29611	200	23	α	α	PROPN
ajst-29611	200	24	values	value	NOUN
ajst-29611	200	25	α	α	PROPN
ajst-29611	200	26	mse	mse	PROPN
ajst-29611	200	27	mae	mae	PROPN
ajst-29611	200	28	snr	snr	PROPN
ajst-29611	200	29	100	100	NUM
ajst-29611	200	30	0.00122455	0.00122455	NUM
ajst-29611	200	31	0.03497085	0.03497085	NUM
ajst-29611	200	32	82.1935281	82.1935281	NUM
ajst-29611	200	33	500	500	NUM
ajst-29611	200	34	0.00122331	0.00122331	NUM
ajst-29611	200	35	0.03496892	0.03496892	NUM
ajst-29611	200	36	82.19790499	82.19790499	NUM
ajst-29611	200	37	1000	1000	NUM
ajst-29611	200	38	7.92863078	7.92863078	NUM
ajst-29611	200	39	1.27994684	1.27994684	NUM
ajst-29611	200	40	44.08132178	44.08132178	NUM
ajst-29611	200	41	2000	2000	NUM
ajst-29611	200	42	26.13934977	26.13934977	NUM
ajst-29611	200	43	2.46786865	2.46786865	NUM
ajst-29611	200	44	38.90035592	38.90035592	NUM
ajst-29611	200	45	therefore	therefore	ADV
ajst-29611	200	46	,	,	PUNCT
ajst-29611	200	47	the	the	DET
ajst-29611	200	48	optimal	optimal	ADJ
ajst-29611	200	49	value	value	NOUN
ajst-29611	200	50	for	for	ADP
ajst-29611	200	51	k	k	PROPN
ajst-29611	200	52	is	be	AUX
ajst-29611	200	53	determined	determine	VERB
ajst-29611	200	54	to	to	PART
ajst-29611	200	55	be	be	AUX
ajst-29611	200	56	7	7	NUM
ajst-29611	200	57	,	,	PUNCT
ajst-29611	200	58	and	and	CCONJ
ajst-29611	200	59	the	the	DET
ajst-29611	200	60	penalty	penalty	NOUN
ajst-29611	200	61	parameter	parameter	NOUN
ajst-29611	200	62	α	α	PROPN
ajst-29611	200	63	is	be	AUX
ajst-29611	200	64	set	set	VERB
ajst-29611	200	65	to	to	ADP
ajst-29611	200	66	500.the	500.the	DET
ajst-29611	200	67	vmd	vmd	NOUN
ajst-29611	200	68	decomposition	decomposition	NOUN
ajst-29611	200	69	results	result	NOUN
ajst-29611	200	70	for	for	ADP
ajst-29611	200	71	well	well	NOUN
ajst-29611	200	72	299	299	NUM
ajst-29611	200	73	are	be	AUX
ajst-29611	200	74	illustrated	illustrate	VERB
ajst-29611	200	75	in	in	ADP
ajst-29611	200	76	figure	figure	NOUN
ajst-29611	200	77	6	6	NUM
ajst-29611	200	78	.	.	PUNCT
ajst-29611	200	79	figure	figure	NOUN
ajst-29611	200	80	6	6	NUM
ajst-29611	200	81	.	.	PUNCT
ajst-29611	200	82	vmd	vmd	PROPN
ajst-29611	200	83	modal	modal	NOUN
ajst-29611	200	84	decomposition	decomposition	NOUN
ajst-29611	200	85	results	result	VERB
ajst-29611	200	86	−0.2	−0.2	PROPN
ajst-29611	200	87	0.0	0.0	NUM
ajst-29611	200	88	0.2	0.2	NUM
ajst-29611	200	89	0	0	NUM
ajst-29611	200	90	20000	20000	NUM
ajst-29611	200	91	40000	40000	NUM
ajst-29611	200	92	60000	60000	NUM
ajst-29611	200	93	80000	80000	NUM
ajst-29611	200	94	100000	100000	NUM
ajst-29611	200	95	m	m	NOUN
ajst-29611	200	96	ag	ag	PROPN
ajst-29611	200	97	ni	ni	PROPN
ajst-29611	200	98	tu	tu	PROPN
ajst-29611	200	99	de	de	PROPN
ajst-29611	200	100	frequency	frequency	PROPN
ajst-29611	200	101	(	(	PUNCT
ajst-29611	200	102	hz	hz	PROPN
ajst-29611	200	103	)	)	PUNCT
ajst-29611	200	104	(	(	PUNCT
ajst-29611	200	105	a	a	NOUN
ajst-29611	200	106	)	)	PUNCT
ajst-29611	200	107	k=8	k=8	PROPN
ajst-29611	200	108	imf1	imf1	PROPN
ajst-29611	200	109	−0.1	−0.1	PROPN
ajst-29611	201	1	0.0	0.0	NUM
ajst-29611	201	2	0.1	0.1	NUM
ajst-29611	201	3	0	0	NUM
ajst-29611	201	4	10000	10000	NUM
ajst-29611	201	5	20000	20000	NUM
ajst-29611	201	6	30000	30000	NUM
ajst-29611	201	7	40000	40000	NUM
ajst-29611	201	8	m	m	NOUN
ajst-29611	201	9	ag	ag	PROPN
ajst-29611	201	10	ni	ni	PROPN
ajst-29611	201	11	tu	tu	PROPN
ajst-29611	201	12	de	de	PROPN
ajst-29611	201	13	frequency	frequency	PROPN
ajst-29611	201	14	(	(	PUNCT
ajst-29611	201	15	hz	hz	PROPN
ajst-29611	201	16	)	)	PUNCT
ajst-29611	201	17	(	(	PUNCT
ajst-29611	201	18	b	b	NOUN
ajst-29611	201	19	)	)	PUNCT
ajst-29611	201	20	k=8	k=8	PUNCT
ajst-29611	201	21	imf2	imf2	PROPN
ajst-29611	201	22	−0.2	−0.2	PROPN
ajst-29611	201	23	0.0	0.0	NUM
ajst-29611	202	1	0.2	0.2	NUM
ajst-29611	202	2	0	0	NUM
ajst-29611	202	3	3000	3000	NUM
ajst-29611	202	4	6000	6000	NUM
ajst-29611	202	5	9000	9000	NUM
ajst-29611	202	6	12000	12000	NUM
ajst-29611	202	7	15000	15000	NUM
ajst-29611	202	8	m	m	NOUN
ajst-29611	202	9	ag	ag	PROPN
ajst-29611	202	10	ni	ni	PROPN
ajst-29611	202	11	tu	tu	PROPN
ajst-29611	202	12	de	de	PROPN
ajst-29611	202	13	frequency	frequency	PROPN
ajst-29611	202	14	(	(	PUNCT
ajst-29611	202	15	hz	hz	PROPN
ajst-29611	202	16	)	)	PUNCT
ajst-29611	202	17	(	(	PUNCT
ajst-29611	202	18	c	c	X
ajst-29611	202	19	)	)	PUNCT
ajst-29611	202	20	k=8	k=8	PUNCT
ajst-29611	203	1	imf3	imf3	PROPN
ajst-29611	203	2	−0.4	−0.4	PROPN
ajst-29611	203	3	−0.2	−0.2	PROPN
ajst-29611	204	1	0.0	0.0	NUM
ajst-29611	204	2	0.2	0.2	NUM
ajst-29611	204	3	0.4	0.4	NUM
ajst-29611	204	4	0	0	NUM
ajst-29611	204	5	2000	2000	NUM
ajst-29611	204	6	4000	4000	NUM
ajst-29611	204	7	6000	6000	NUM
ajst-29611	204	8	m	m	NOUN
ajst-29611	204	9	ag	ag	PROPN
ajst-29611	204	10	ni	ni	PROPN
ajst-29611	204	11	tu	tu	PROPN
ajst-29611	204	12	de	de	PROPN
ajst-29611	204	13	frequency	frequency	PROPN
ajst-29611	204	14	(	(	PUNCT
ajst-29611	204	15	hz	hz	PROPN
ajst-29611	204	16	)	)	PUNCT
ajst-29611	204	17	(	(	PUNCT
ajst-29611	204	18	d	d	NOUN
ajst-29611	204	19	)	)	PUNCT
ajst-29611	204	20	k=8	k=8	PROPN
ajst-29611	205	1	imf4	imf4	PROPN
ajst-29611	205	2	−0.4	−0.4	PROPN
ajst-29611	205	3	−0.2	−0.2	PROPN
ajst-29611	206	1	0.0	0.0	NUM
ajst-29611	206	2	0.2	0.2	NUM
ajst-29611	206	3	0.4	0.4	NUM
ajst-29611	206	4	0	0	NUM
ajst-29611	206	5	1000	1000	NUM
ajst-29611	206	6	2000	2000	NUM
ajst-29611	206	7	3000	3000	NUM
ajst-29611	206	8	4000	4000	NUM
ajst-29611	206	9	m	m	NOUN
ajst-29611	206	10	ag	ag	PROPN
ajst-29611	206	11	ni	ni	PROPN
ajst-29611	206	12	tu	tu	PROPN
ajst-29611	206	13	de	de	PROPN
ajst-29611	206	14	frequency	frequency	PROPN
ajst-29611	206	15	(	(	PUNCT
ajst-29611	206	16	hz	hz	PROPN
ajst-29611	206	17	)	)	PUNCT
ajst-29611	206	18	(	(	PUNCT
ajst-29611	206	19	e	e	NOUN
ajst-29611	206	20	)	)	PUNCT
ajst-29611	206	21	k=8	k=8	PUNCT
ajst-29611	206	22	imf5	imf5	PROPN
ajst-29611	206	23	−0.4	−0.4	PROPN
ajst-29611	206	24	−0.2	−0.2	PROPN
ajst-29611	207	1	0.0	0.0	NUM
ajst-29611	207	2	0.2	0.2	NUM
ajst-29611	207	3	0.4	0.4	NUM
ajst-29611	207	4	0	0	NUM
ajst-29611	207	5	1000	1000	NUM
ajst-29611	207	6	2000	2000	NUM
ajst-29611	207	7	3000	3000	NUM
ajst-29611	207	8	4000	4000	NUM
ajst-29611	207	9	m	m	NOUN
ajst-29611	207	10	ag	ag	PROPN
ajst-29611	207	11	ni	ni	PROPN
ajst-29611	207	12	tu	tu	PROPN
ajst-29611	207	13	de	de	PROPN
ajst-29611	207	14	frequency	frequency	PROPN
ajst-29611	207	15	(	(	PUNCT
ajst-29611	207	16	hz	hz	PROPN
ajst-29611	207	17	)	)	PUNCT
ajst-29611	207	18	(	(	PUNCT
ajst-29611	207	19	f	f	X
ajst-29611	207	20	)	)	PUNCT
ajst-29611	207	21	k=8	k=8	PROPN
ajst-29611	207	22	imf6	imf6	PROPN
ajst-29611	207	23	−0.4	−0.4	PROPN
ajst-29611	207	24	−0.2	−0.2	PROPN
ajst-29611	208	1	0.0	0.0	NUM
ajst-29611	208	2	0.2	0.2	NUM
ajst-29611	208	3	0.4	0.4	NUM
ajst-29611	208	4	0	0	NUM
ajst-29611	208	5	1000	1000	NUM
ajst-29611	208	6	2000	2000	NUM
ajst-29611	208	7	3000	3000	NUM
ajst-29611	208	8	4000	4000	NUM
ajst-29611	208	9	m	m	NOUN
ajst-29611	208	10	ag	ag	PROPN
ajst-29611	208	11	ni	ni	PROPN
ajst-29611	208	12	tu	tu	PROPN
ajst-29611	208	13	de	de	PROPN
ajst-29611	208	14	frequency	frequency	PROPN
ajst-29611	208	15	(	(	PUNCT
ajst-29611	208	16	hz	hz	PROPN
ajst-29611	208	17	)	)	PUNCT
ajst-29611	208	18	(	(	PUNCT
ajst-29611	208	19	g	g	NOUN
ajst-29611	208	20	)	)	PUNCT
ajst-29611	208	21	k=8	k=8	PUNCT
ajst-29611	209	1	imf7	imf7	PROPN
ajst-29611	209	2	−0.4	−0.4	NUM
ajst-29611	210	1	−0.2	−0.2	PROPN
ajst-29611	211	1	0.0	0.0	NUM
ajst-29611	211	2	0.2	0.2	NUM
ajst-29611	211	3	0.4	0.4	NUM
ajst-29611	211	4	0	0	NUM
ajst-29611	211	5	1000	1000	NUM
ajst-29611	211	6	2000	2000	NUM
ajst-29611	211	7	3000	3000	NUM
ajst-29611	211	8	4000	4000	NUM
ajst-29611	211	9	m	m	NOUN
ajst-29611	211	10	ag	ag	PROPN
ajst-29611	211	11	ni	ni	PROPN
ajst-29611	211	12	tu	tu	PROPN
ajst-29611	211	13	de	de	PROPN
ajst-29611	211	14	frequency	frequency	PROPN
ajst-29611	211	15	(	(	PUNCT
ajst-29611	211	16	hz	hz	PROPN
ajst-29611	211	17	)	)	PUNCT
ajst-29611	211	18	(	(	PUNCT
ajst-29611	211	19	h	h	NOUN
ajst-29611	211	20	)	)	PUNCT
ajst-29611	211	21	k=8	k=8	PUNCT
ajst-29611	211	22	imf8	imf8	PROPN
ajst-29611	211	23	208	208	NUM
ajst-29611	211	24	4.3	4.3	NUM
ajst-29611	211	25	.	.	PUNCT
ajst-29611	212	1	pe	pe	PROPN
ajst-29611	212	2	value	value	NOUN
ajst-29611	212	3	after	after	ADP
ajst-29611	212	4	performing	perform	VERB
ajst-29611	212	5	vmd	vmd	PROPN
ajst-29611	212	6	,	,	PUNCT
ajst-29611	212	7	the	the	DET
ajst-29611	212	8	permutation	permutation	NOUN
ajst-29611	212	9	entropy	entropy	VERB
ajst-29611	212	10	values	value	NOUN
ajst-29611	212	11	for	for	ADP
ajst-29611	212	12	each	each	DET
ajst-29611	212	13	sequence	sequence	NOUN
ajst-29611	212	14	were	be	AUX
ajst-29611	212	15	calculated	calculate	VERB
ajst-29611	212	16	to	to	PART
ajst-29611	212	17	quantify	quantify	VERB
ajst-29611	212	18	their	their	PRON
ajst-29611	212	19	complexity	complexity	NOUN
ajst-29611	212	20	and	and	CCONJ
ajst-29611	212	21	dynamic	dynamic	ADJ
ajst-29611	212	22	characteristics	characteristic	NOUN
ajst-29611	212	23	.	.	PUNCT
ajst-29611	213	1	table	table	NOUN
ajst-29611	213	2	3	3	NUM
ajst-29611	213	3	displays	display	VERB
ajst-29611	213	4	the	the	DET
ajst-29611	213	5	computed	computed	ADJ
ajst-29611	213	6	permutation	permutation	NOUN
ajst-29611	213	7	entropy	entropy	NOUN
ajst-29611	213	8	values	value	NOUN
ajst-29611	213	9	,	,	PUNCT
ajst-29611	213	10	and	and	CCONJ
ajst-29611	213	11	figure	figure	VERB
ajst-29611	213	12	7	7	NUM
ajst-29611	213	13	depicts	depict	VERB
ajst-29611	213	14	the	the	DET
ajst-29611	213	15	variation	variation	NOUN
ajst-29611	213	16	in	in	ADP
ajst-29611	213	17	entropy	entropy	NOUN
ajst-29611	213	18	values	value	NOUN
ajst-29611	213	19	over	over	ADP
ajst-29611	213	20	time	time	NOUN
ajst-29611	213	21	and	and	CCONJ
ajst-29611	213	22	across	across	ADP
ajst-29611	213	23	sequences	sequence	NOUN
ajst-29611	213	24	.	.	PUNCT
ajst-29611	213	25	  	  	SPACE
ajst-29611	213	26	table	table	NOUN
ajst-29611	213	27	3	3	NUM
ajst-29611	213	28	.	.	PUNCT
ajst-29611	213	29	permutation	permutation	NOUN
ajst-29611	213	30	entropy	entropy	NOUN
ajst-29611	213	31	values	value	NOUN
ajst-29611	213	32	for	for	ADP
ajst-29611	213	33	each	each	DET
ajst-29611	213	34	imfs	imfs	NOUN
ajst-29611	213	35	imfs	imfs	NOUN
ajst-29611	213	36	pe	pe	PROPN
ajst-29611	213	37	value	value	PROPN
ajst-29611	213	38	imfs	imfs	PROPN
ajst-29611	213	39	pe	pe	PROPN
ajst-29611	213	40	value	value	PROPN
ajst-29611	213	41	imf1	imf1	PROPN
ajst-29611	213	42	6.7972	6.7972	NUM
ajst-29611	213	43	imf4	imf4	PROPN
ajst-29611	213	44	5.3954	5.3954	NUM
ajst-29611	213	45	imf2	imf2	NOUN
ajst-29611	213	46	6.8090	6.8090	NUM
ajst-29611	213	47	imf5	imf5	NOUN
ajst-29611	213	48	4.5515	4.5515	NUM
ajst-29611	213	49	imf3	imf3	PROPN
ajst-29611	213	50	6.1355	6.1355	NUM
ajst-29611	213	51	imf6	imf6	NOUN
ajst-29611	213	52	3.9122	3.9122	NUM
ajst-29611	213	53	imf7	imf7	NOUN
ajst-29611	213	54	2.3486	2.3486	NUM
ajst-29611	213	55	as	as	SCONJ
ajst-29611	213	56	shown	show	VERB
ajst-29611	213	57	in	in	ADP
ajst-29611	213	58	figure	figure	NOUN
ajst-29611	213	59	6	6	NUM
ajst-29611	213	60	,	,	PUNCT
ajst-29611	213	61	the	the	DET
ajst-29611	213	62	complexity	complexity	NOUN
ajst-29611	213	63	of	of	ADP
ajst-29611	213	64	each	each	DET
ajst-29611	213	65	modal	modal	NOUN
ajst-29611	213	66	component	component	NOUN
ajst-29611	213	67	progressively	progressively	ADV
ajst-29611	213	68	diminishes	diminish	VERB
ajst-29611	213	69	after	after	ADP
ajst-29611	213	70	decomposition	decomposition	NOUN
ajst-29611	213	71	,	,	PUNCT
ajst-29611	213	72	signifying	signify	VERB
ajst-29611	213	73	a	a	DET
ajst-29611	213	74	decrease	decrease	NOUN
ajst-29611	213	75	in	in	ADP
ajst-29611	213	76	the	the	DET
ajst-29611	213	77	overall	overall	ADJ
ajst-29611	213	78	sequence	sequence	NOUN
ajst-29611	213	79	complexity	complexity	NOUN
ajst-29611	213	80	.	.	PUNCT
ajst-29611	214	1	to	to	PART
ajst-29611	214	2	improve	improve	VERB
ajst-29611	214	3	prediction	prediction	NOUN
ajst-29611	214	4	accuracy	accuracy	NOUN
ajst-29611	214	5	,	,	PUNCT
ajst-29611	214	6	to	to	PART
ajst-29611	214	7	improve	improve	VERB
ajst-29611	214	8	prediction	prediction	NOUN
ajst-29611	214	9	accuracy	accuracy	NOUN
ajst-29611	214	10	,	,	PUNCT
ajst-29611	214	11	the	the	DET
ajst-29611	214	12	imf	imf	PROPN
ajst-29611	214	13	components	component	NOUN
ajst-29611	214	14	are	be	AUX
ajst-29611	214	15	classified	classify	VERB
ajst-29611	214	16	into	into	ADP
ajst-29611	214	17	different	different	ADJ
ajst-29611	214	18	levels	level	NOUN
ajst-29611	214	19	based	base	VERB
ajst-29611	214	20	on	on	ADP
ajst-29611	214	21	their	their	PRON
ajst-29611	214	22	pe	pe	PROPN
ajst-29611	214	23	average	average	ADJ
ajst-29611	214	24	values	value	NOUN
ajst-29611	214	25	.	.	PUNCT
ajst-29611	215	1	according	accord	VERB
ajst-29611	215	2	to	to	ADP
ajst-29611	215	3	the	the	DET
ajst-29611	215	4	data	datum	NOUN
ajst-29611	215	5	in	in	ADP
ajst-29611	215	6	table	table	NOUN
ajst-29611	215	7	3	3	NUM
ajst-29611	215	8	,	,	PUNCT
ajst-29611	215	9	the	the	DET
ajst-29611	215	10	average	average	ADJ
ajst-29611	215	11	pe	pe	X
ajst-29611	215	12	for	for	ADP
ajst-29611	215	13	imf1	imf1	PROPN
ajst-29611	215	14	-	-	PUNCT
ajst-29611	215	15	7	7	NUM
ajst-29611	215	16	is	be	AUX
ajst-29611	215	17	5.1356	5.1356	NUM
ajst-29611	215	18	.	.	PUNCT
ajst-29611	216	1	consequently	consequently	ADV
ajst-29611	216	2	,	,	PUNCT
ajst-29611	216	3	imf1	imf1	PROPN
ajst-29611	216	4	-	-	PUNCT
ajst-29611	216	5	3	3	NUM
ajst-29611	216	6	,	,	PUNCT
ajst-29611	216	7	with	with	ADP
ajst-29611	216	8	values	value	NOUN
ajst-29611	216	9	substantially	substantially	ADV
ajst-29611	216	10	exceeding	exceed	VERB
ajst-29611	216	11	the	the	DET
ajst-29611	216	12	average	average	NOUN
ajst-29611	216	13	,	,	PUNCT
ajst-29611	216	14	are	be	AUX
ajst-29611	216	15	designated	designate	VERB
ajst-29611	216	16	as	as	ADP
ajst-29611	216	17	high	high	ADJ
ajst-29611	216	18	-	-	PUNCT
ajst-29611	216	19	complexity	complexity	NOUN
ajst-29611	216	20	sequences	sequence	NOUN
ajst-29611	216	21	;	;	PUNCT
ajst-29611	216	22	imf5	imf5	PROPN
ajst-29611	216	23	-	-	PUNCT
ajst-29611	216	24	7	7	NUM
ajst-29611	216	25	,	,	PUNCT
ajst-29611	216	26	with	with	ADP
ajst-29611	216	27	values	value	NOUN
ajst-29611	216	28	falling	fall	VERB
ajst-29611	216	29	below	below	ADP
ajst-29611	216	30	the	the	DET
ajst-29611	216	31	average	average	NOUN
ajst-29611	216	32	,	,	PUNCT
ajst-29611	216	33	are	be	AUX
ajst-29611	216	34	categorized	categorize	VERB
ajst-29611	216	35	as	as	ADP
ajst-29611	216	36	lowcomplexity	lowcomplexity	NOUN
ajst-29611	216	37	sequences	sequence	NOUN
ajst-29611	216	38	;	;	PUNCT
ajst-29611	216	39	and	and	CCONJ
ajst-29611	216	40	imf4	imf4	PROPN
ajst-29611	216	41	,	,	PUNCT
ajst-29611	216	42	with	with	ADP
ajst-29611	216	43	a	a	DET
ajst-29611	216	44	value	value	NOUN
ajst-29611	216	45	near	near	ADP
ajst-29611	216	46	the	the	DET
ajst-29611	216	47	average	average	NOUN
ajst-29611	216	48	,	,	PUNCT
ajst-29611	216	49	is	be	AUX
ajst-29611	216	50	assigned	assign	VERB
ajst-29611	216	51	to	to	ADP
ajst-29611	216	52	the	the	DET
ajst-29611	216	53	medium	medium	ADJ
ajst-29611	216	54	-	-	PUNCT
ajst-29611	216	55	complexity	complexity	NOUN
ajst-29611	216	56	category	category	NOUN
ajst-29611	216	57	.	.	PUNCT
ajst-29611	217	1	figure	figure	VERB
ajst-29611	217	2	7	7	NUM
ajst-29611	217	3	.	.	NOUN
ajst-29611	217	4	trend	trend	NOUN
ajst-29611	217	5	of	of	ADP
ajst-29611	217	6	permutation	permutation	NOUN
ajst-29611	217	7	entropy	entropy	NOUN
ajst-29611	217	8	values	value	NOUN
ajst-29611	217	9	for	for	ADP
ajst-29611	217	10	each	each	DET
ajst-29611	217	11	imfs	imfs	NOUN
ajst-29611	217	12	4.4	4.4	NUM
ajst-29611	217	13	.	.	PUNCT
ajst-29611	217	14	hybrid	hybrid	ADJ
ajst-29611	217	15	model	model	NOUN
ajst-29611	217	16	prediction	prediction	NOUN
ajst-29611	217	17	each	each	DET
ajst-29611	217	18	imf	imf	PROPN
ajst-29611	217	19	component	component	NOUN
ajst-29611	217	20	was	be	AUX
ajst-29611	217	21	input	input	VERB
ajst-29611	217	22	into	into	ADP
ajst-29611	217	23	its	its	PRON
ajst-29611	217	24	respective	respective	ADJ
ajst-29611	217	25	hybrid	hybrid	ADJ
ajst-29611	217	26	time	time	NOUN
ajst-29611	217	27	series	series	PROPN
ajst-29611	217	28	model	model	NOUN
ajst-29611	217	29	for	for	ADP
ajst-29611	217	30	training	training	NOUN
ajst-29611	217	31	and	and	CCONJ
ajst-29611	217	32	forecasting	forecasting	NOUN
ajst-29611	217	33	.	.	PUNCT
ajst-29611	218	1	specifically	specifically	ADV
ajst-29611	218	2	,	,	PUNCT
ajst-29611	218	3	high	high	ADJ
ajst-29611	218	4	-	-	PUNCT
ajst-29611	218	5	complexity	complexity	NOUN
ajst-29611	218	6	sequences	sequence	NOUN
ajst-29611	218	7	were	be	AUX
ajst-29611	218	8	processed	process	VERB
ajst-29611	218	9	using	use	VERB
ajst-29611	218	10	the	the	DET
ajst-29611	218	11	cnnlstm	cnnlstm	NOUN
ajst-29611	218	12	model	model	NOUN
ajst-29611	218	13	,	,	PUNCT
ajst-29611	218	14	which	which	PRON
ajst-29611	218	15	combines	combine	VERB
ajst-29611	218	16	the	the	DET
ajst-29611	218	17	advantages	advantage	NOUN
ajst-29611	218	18	of	of	ADP
ajst-29611	218	19	cnn	cnn	PROPN
ajst-29611	218	20	and	and	CCONJ
ajst-29611	218	21	lstm	lstm	PROPN
ajst-29611	218	22	.	.	PUNCT
ajst-29611	219	1	cnn	cnn	PROPN
ajst-29611	219	2	automatically	automatically	ADV
ajst-29611	219	3	extracts	extract	VERB
ajst-29611	219	4	important	important	ADJ
ajst-29611	219	5	information	information	NOUN
ajst-29611	219	6	from	from	ADP
ajst-29611	219	7	local	local	ADJ
ajst-29611	219	8	spatiotemporal	spatiotemporal	ADJ
ajst-29611	219	9	features	feature	NOUN
ajst-29611	219	10	,	,	PUNCT
ajst-29611	219	11	while	while	SCONJ
ajst-29611	219	12	lstm	lstm	NOUN
ajst-29611	219	13	captures	capture	VERB
ajst-29611	219	14	long	long	ADJ
ajst-29611	219	15	-	-	PUNCT
ajst-29611	219	16	term	term	NOUN
ajst-29611	219	17	temporal	temporal	ADJ
ajst-29611	219	18	dependencies	dependency	NOUN
ajst-29611	219	19	,	,	PUNCT
ajst-29611	219	20	making	make	VERB
ajst-29611	219	21	it	it	PRON
ajst-29611	219	22	particularly	particularly	ADV
ajst-29611	219	23	suitable	suitable	ADJ
ajst-29611	219	24	for	for	ADP
ajst-29611	219	25	handling	handle	VERB
ajst-29611	219	26	complex	complex	ADJ
ajst-29611	219	27	time	time	NOUN
ajst-29611	219	28	series	series	NOUN
ajst-29611	219	29	with	with	ADP
ajst-29611	219	30	nonlinear	nonlinear	ADJ
ajst-29611	219	31	and	and	CCONJ
ajst-29611	219	32	non	non	ADJ
ajst-29611	219	33	-	-	ADJ
ajst-29611	219	34	stationary	stationary	ADJ
ajst-29611	219	35	components	component	NOUN
ajst-29611	219	36	.	.	PUNCT
ajst-29611	220	1	therefore	therefore	ADV
ajst-29611	220	2	,	,	PUNCT
ajst-29611	220	3	cnn	cnn	PROPN
ajst-29611	220	4	-	-	PUNCT
ajst-29611	220	5	lstm	lstm	PROPN
ajst-29611	220	6	is	be	AUX
ajst-29611	220	7	wellsuited	wellsuite	VERB
ajst-29611	220	8	for	for	ADP
ajst-29611	220	9	processing	process	VERB
ajst-29611	220	10	high	high	ADJ
ajst-29611	220	11	-	-	PUNCT
ajst-29611	220	12	complexity	complexity	NOUN
ajst-29611	220	13	,	,	PUNCT
ajst-29611	220	14	nonlinear	nonlinear	ADJ
ajst-29611	220	15	data	datum	NOUN
ajst-29611	220	16	with	with	ADP
ajst-29611	220	17	long	long	ADJ
ajst-29611	220	18	-	-	PUNCT
ajst-29611	220	19	term	term	NOUN
ajst-29611	220	20	dependencies	dependency	NOUN
ajst-29611	220	21	.	.	PUNCT
ajst-29611	221	1	for	for	ADP
ajst-29611	221	2	mediumand	mediumand	NOUN
ajst-29611	221	3	low	low	ADJ
ajst-29611	221	4	-	-	PUNCT
ajst-29611	221	5	complexity	complexity	NOUN
ajst-29611	221	6	sequences	sequence	NOUN
ajst-29611	221	7	,	,	PUNCT
ajst-29611	221	8	the	the	DET
ajst-29611	221	9	ssa	ssa	NOUN
ajst-29611	221	10	-	-	PUNCT
ajst-29611	221	11	svr	svr	PROPN
ajst-29611	221	12	model	model	NOUN
ajst-29611	221	13	was	be	AUX
ajst-29611	221	14	employed	employ	VERB
ajst-29611	221	15	.	.	PUNCT
ajst-29611	222	1	the	the	DET
ajst-29611	222	2	sparrow	sparrow	ADJ
ajst-29611	222	3	search	search	NOUN
ajst-29611	222	4	algorithm	algorithm	NOUN
ajst-29611	222	5	(	(	PUNCT
ajst-29611	222	6	ssa	ssa	NOUN
ajst-29611	222	7	)	)	PUNCT
ajst-29611	222	8	optimizes	optimize	VERB
ajst-29611	222	9	the	the	DET
ajst-29611	222	10	hyperparameters	hyperparameter	NOUN
ajst-29611	222	11	of	of	ADP
ajst-29611	222	12	the	the	DET
ajst-29611	222	13	support	support	NOUN
ajst-29611	222	14	vector	vector	NOUN
ajst-29611	222	15	regression	regression	NOUN
ajst-29611	222	16	(	(	PUNCT
ajst-29611	222	17	svr	svr	PROPN
ajst-29611	222	18	)	)	PUNCT
ajst-29611	222	19	model	model	NOUN
ajst-29611	222	20	,	,	PUNCT
ajst-29611	222	21	thereby	thereby	ADV
ajst-29611	222	22	enhancing	enhance	VERB
ajst-29611	222	23	its	its	PRON
ajst-29611	222	24	prediction	prediction	NOUN
ajst-29611	222	25	accuracy	accuracy	NOUN
ajst-29611	222	26	for	for	ADP
ajst-29611	222	27	stable	stable	ADJ
ajst-29611	222	28	,	,	PUNCT
ajst-29611	222	29	low	low	ADJ
ajst-29611	222	30	-	-	PUNCT
ajst-29611	222	31	complexity	complexity	NOUN
ajst-29611	222	32	time	time	NOUN
ajst-29611	222	33	series	series	NOUN
ajst-29611	222	34	.	.	PUNCT
ajst-29611	223	1	svr	svr	PROPN
ajst-29611	223	2	has	have	AUX
ajst-29611	223	3	demonstrated	demonstrate	VERB
ajst-29611	223	4	strong	strong	ADJ
ajst-29611	223	5	generalization	generalization	NOUN
ajst-29611	223	6	ability	ability	NOUN
ajst-29611	223	7	and	and	CCONJ
ajst-29611	223	8	accuracy	accuracy	NOUN
ajst-29611	223	9	in	in	ADP
ajst-29611	223	10	handling	handle	VERB
ajst-29611	223	11	time	time	NOUN
ajst-29611	223	12	series	series	NOUN
ajst-29611	223	13	with	with	ADP
ajst-29611	223	14	fewer	few	ADJ
ajst-29611	223	15	noises	noise	NOUN
ajst-29611	223	16	or	or	CCONJ
ajst-29611	223	17	linear	linear	ADJ
ajst-29611	223	18	trends	trend	NOUN
ajst-29611	223	19	.	.	PUNCT
ajst-29611	224	1	as	as	ADP
ajst-29611	224	2	a	a	DET
ajst-29611	224	3	result	result	NOUN
ajst-29611	224	4	,	,	PUNCT
ajst-29611	224	5	ssa	ssa	NOUN
ajst-29611	224	6	-	-	PUNCT
ajst-29611	224	7	svr	svr	PROPN
ajst-29611	224	8	is	be	AUX
ajst-29611	224	9	effective	effective	ADJ
ajst-29611	224	10	in	in	ADP
ajst-29611	224	11	noise	noise	NOUN
ajst-29611	224	12	reduction	reduction	NOUN
ajst-29611	224	13	and	and	CCONJ
ajst-29611	224	14	suitable	suitable	ADJ
ajst-29611	224	15	for	for	ADP
ajst-29611	224	16	modeling	modeling	NOUN
ajst-29611	224	17	and	and	CCONJ
ajst-29611	224	18	forecasting	forecast	VERB
ajst-29611	224	19	relatively	relatively	ADV
ajst-29611	224	20	stable	stable	ADJ
ajst-29611	224	21	time	time	NOUN
ajst-29611	224	22	series	series	NOUN
ajst-29611	224	23	.	.	PUNCT
ajst-29611	225	1	in	in	ADP
ajst-29611	225	2	this	this	DET
ajst-29611	225	3	study	study	NOUN
ajst-29611	225	4	,	,	PUNCT
ajst-29611	225	5	the	the	DET
ajst-29611	225	6	hyperparameter	hyperparameter	NOUN
ajst-29611	225	7	selection	selection	NOUN
ajst-29611	225	8	for	for	ADP
ajst-29611	225	9	cnn	cnn	PROPN
ajst-29611	225	10	-	-	PUNCT
ajst-29611	225	11	lstm	lstm	PROPN
ajst-29611	225	12	was	be	AUX
ajst-29611	225	13	initially	initially	ADV
ajst-29611	225	14	guided	guide	VERB
ajst-29611	225	15	by	by	ADP
ajst-29611	225	16	existing	exist	VERB
ajst-29611	225	17	literature	literature	NOUN
ajst-29611	225	18	and	and	CCONJ
ajst-29611	225	19	domain	domain	NOUN
ajst-29611	225	20	-	-	PUNCT
ajst-29611	225	21	specific	specific	ADJ
ajst-29611	225	22	experience	experience	NOUN
ajst-29611	225	23	to	to	PART
ajst-29611	225	24	establish	establish	VERB
ajst-29611	225	25	reasonable	reasonable	ADJ
ajst-29611	225	26	parameter	parameter	NOUN
ajst-29611	225	27	ranges	range	NOUN
ajst-29611	225	28	.	.	PUNCT
ajst-29611	226	1	subsequently	subsequently	ADV
ajst-29611	226	2	,	,	PUNCT
ajst-29611	226	3	the	the	DET
ajst-29611	226	4	optuna	optuna	PROPN
ajst-29611	226	5	library	library	NOUN
ajst-29611	226	6	was	be	AUX
ajst-29611	226	7	used	use	VERB
ajst-29611	226	8	to	to	PART
ajst-29611	226	9	further	far	ADV
ajst-29611	226	10	refine	refine	VERB
ajst-29611	226	11	the	the	DET
ajst-29611	226	12	selection	selection	NOUN
ajst-29611	226	13	by	by	ADP
ajst-29611	226	14	automatically	automatically	ADV
ajst-29611	226	15	exploring	explore	VERB
ajst-29611	226	16	various	various	ADJ
ajst-29611	226	17	parameter	parameter	NOUN
ajst-29611	226	18	combinations	combination	NOUN
ajst-29611	226	19	to	to	PART
ajst-29611	226	20	identify	identify	VERB
ajst-29611	226	21	the	the	DET
ajst-29611	226	22	optimal	optimal	ADJ
ajst-29611	226	23	configuration	configuration	NOUN
ajst-29611	226	24	.	.	PUNCT
ajst-29611	227	1	for	for	ADP
ajst-29611	227	2	the	the	DET
ajst-29611	227	3	svr	svr	PROPN
ajst-29611	227	4	,	,	PUNCT
ajst-29611	227	5	the	the	DET
ajst-29611	227	6	parameters	parameter	NOUN
ajst-29611	227	7	were	be	AUX
ajst-29611	227	8	optimized	optimize	VERB
ajst-29611	227	9	through	through	ADP
ajst-29611	227	10	ssa	ssa	NOUN
ajst-29611	227	11	,	,	PUNCT
ajst-29611	227	12	which	which	PRON
ajst-29611	227	13	searches	search	VERB
ajst-29611	227	14	for	for	ADP
ajst-29611	227	15	the	the	DET
ajst-29611	227	16	best	good	ADJ
ajst-29611	227	17	parameter	parameter	NOUN
ajst-29611	227	18	combination	combination	NOUN
ajst-29611	227	19	within	within	ADP
ajst-29611	227	20	a	a	DET
ajst-29611	227	21	specified	specified	ADJ
ajst-29611	227	22	range	range	NOUN
ajst-29611	227	23	,	,	PUNCT
ajst-29611	227	24	evaluating	evaluate	VERB
ajst-29611	227	25	the	the	DET
ajst-29611	227	26	impact	impact	NOUN
ajst-29611	227	27	of	of	ADP
ajst-29611	227	28	each	each	DET
ajst-29611	227	29	set	set	NOUN
ajst-29611	227	30	of	of	ADP
ajst-29611	227	31	parameters	parameter	NOUN
ajst-29611	227	32	on	on	ADP
ajst-29611	227	33	the	the	DET
ajst-29611	227	34	svr	svr	PROPN
ajst-29611	227	35	model	model	NOUN
ajst-29611	227	36	,	,	PUNCT
ajst-29611	227	37	thereby	thereby	ADV
ajst-29611	227	38	determining	determine	VERB
ajst-29611	227	39	the	the	DET
ajst-29611	227	40	parameter	parameter	NOUN
ajst-29611	227	41	configuration	configuration	NOUN
ajst-29611	227	42	that	that	PRON
ajst-29611	227	43	maximizes	maximize	VERB
ajst-29611	227	44	model	model	NOUN
ajst-29611	227	45	performance	performance	NOUN
ajst-29611	227	46	.	.	PUNCT
ajst-29611	228	1	the	the	DET
ajst-29611	228	2	final	final	ADJ
ajst-29611	228	3	parameter	parameter	NOUN
ajst-29611	228	4	settings	setting	NOUN
ajst-29611	228	5	are	be	AUX
ajst-29611	228	6	presented	present	VERB
ajst-29611	228	7	in	in	ADP
ajst-29611	228	8	tables	table	NOUN
ajst-29611	228	9	4	4	NUM
ajst-29611	228	10	and	and	CCONJ
ajst-29611	228	11	5	5	NUM
ajst-29611	228	12	.	.	NOUN
ajst-29611	228	13	1	1	NUM
ajst-29611	228	14	2	2	NUM
ajst-29611	228	15	3	3	NUM
ajst-29611	228	16	4	4	NUM
ajst-29611	228	17	5	5	NUM
ajst-29611	228	18	6	6	NUM
ajst-29611	228	19	7	7	NUM
ajst-29611	228	20	1	1	NUM
ajst-29611	228	21	2	2	NUM
ajst-29611	228	22	3	3	NUM
ajst-29611	228	23	4	4	NUM
ajst-29611	228	24	5	5	NUM
ajst-29611	228	25	6	6	NUM
ajst-29611	228	26	7	7	NUM
ajst-29611	228	27	t	t	NOUN
ajst-29611	228	28	h	h	NOUN
ajst-29611	228	29	e	e	PROPN
ajst-29611	228	30	va	va	PROPN
ajst-29611	228	31	lu	lu	PROPN
ajst-29611	228	32	e	e	PROPN
ajst-29611	228	33	of	of	ADP
ajst-29611	228	34	p	p	PROPN
ajst-29611	228	35	e	e	PROPN
ajst-29611	228	36	imfs	imfs	NOUN
ajst-29611	228	37	209	209	NUM
ajst-29611	228	38	table	table	NOUN
ajst-29611	228	39	4	4	NUM
ajst-29611	228	40	.	.	PUNCT
ajst-29611	229	1	hyperparameters	hyperparameter	NOUN
ajst-29611	229	2	of	of	ADP
ajst-29611	229	3	cnn	cnn	PROPN
ajst-29611	229	4	-	-	PUNCT
ajst-29611	229	5	lstm	lstm	PROPN
ajst-29611	229	6	description	description	NOUN
ajst-29611	229	7	imf1	imf1	PROPN
ajst-29611	229	8	:	:	PUNCT
ajst-29611	229	9	cnn	cnn	PROPN
ajst-29611	229	10	-	-	PUNCT
ajst-29611	229	11	lstm	lstm	ADJ
ajst-29611	229	12	1	1	NUM
ajst-29611	229	13	imf2	imf2	NOUN
ajst-29611	229	14	:	:	PUNCT
ajst-29611	229	15	cnn	cnn	PROPN
ajst-29611	229	16	-	-	PUNCT
ajst-29611	229	17	lstm	lstm	ADJ
ajst-29611	229	18	2	2	NUM
ajst-29611	229	19	imf3	imf3	PROPN
ajst-29611	229	20	:	:	PUNCT
ajst-29611	229	21	cnn	cnn	PROPN
ajst-29611	229	22	-	-	PUNCT
ajst-29611	229	23	lstm	lstm	ADJ
ajst-29611	229	24	3	3	NUM
ajst-29611	229	25	number	number	NOUN
ajst-29611	229	26	of	of	ADP
ajst-29611	229	27	filters	filter	NOUN
ajst-29611	229	28	64	64	NUM
ajst-29611	229	29	64	64	NUM
ajst-29611	229	30	64	64	NUM
ajst-29611	229	31	kernel	kernel	NOUN
ajst-29611	229	32	size	size	NOUN
ajst-29611	229	33	2	2	NUM
ajst-29611	229	34	2	2	NUM
ajst-29611	229	35	2	2	NUM
ajst-29611	229	36	stride	stride	NOUN
ajst-29611	229	37	1	1	NUM
ajst-29611	229	38	1	1	NUM
ajst-29611	229	39	1	1	NUM
ajst-29611	229	40	hidden	hide	VERB
ajst-29611	229	41	layer	layer	NOUN
ajst-29611	229	42	size	size	NOUN
ajst-29611	229	43	64	64	NUM
ajst-29611	229	44	64	64	NUM
ajst-29611	229	45	64	64	NUM
ajst-29611	229	46	number	number	NOUN
ajst-29611	229	47	of	of	ADP
ajst-29611	229	48	lstm	lstm	ADJ
ajst-29611	229	49	layers	layer	NOUN
ajst-29611	229	50	2	2	NUM
ajst-29611	229	51	3	3	NUM
ajst-29611	229	52	3	3	NUM
ajst-29611	229	53	input	input	NOUN
ajst-29611	229	54	sequence	sequence	NOUN
ajst-29611	229	55	length	length	NOUN
ajst-29611	229	56	2	2	NUM
ajst-29611	229	57	2	2	NUM
ajst-29611	229	58	2	2	NUM
ajst-29611	229	59	output	output	NOUN
ajst-29611	229	60	sequence	sequence	NOUN
ajst-29611	229	61	length	length	NOUN
ajst-29611	229	62	1	1	NUM
ajst-29611	229	63	1	1	NUM
ajst-29611	229	64	1	1	NUM
ajst-29611	229	65	batch	batch	NOUN
ajst-29611	229	66	size	size	NOUN
ajst-29611	229	67	64	64	NUM
ajst-29611	229	68	64	64	NUM
ajst-29611	229	69	64	64	NUM
ajst-29611	229	70	learning	learn	VERB
ajst-29611	229	71	rate	rate	NOUN
ajst-29611	229	72	0.001	0.001	NUM
ajst-29611	229	73	0.001	0.001	NUM
ajst-29611	229	74	0.001	0.001	NUM
ajst-29611	229	75	number	number	NOUN
ajst-29611	229	76	of	of	ADP
ajst-29611	229	77	epochs	epoch	NOUN
ajst-29611	229	78	700	700	NUM
ajst-29611	229	79	500	500	NUM
ajst-29611	229	80	600	600	NUM
ajst-29611	229	81	optimizer	optimizer	NOUN
ajst-29611	229	82	adam	adam	PROPN
ajst-29611	229	83	adam	adam	PROPN
ajst-29611	229	84	adam	adam	PROPN
ajst-29611	229	85	loss	loss	PROPN
ajst-29611	229	86	 	 	SPACE
ajst-29611	229	87	function	function	NOUN
ajst-29611	229	88	  	  	SPACE
ajst-29611	229	89	mse	mse	NOUN
ajst-29611	229	90	 	 	SPACE
ajst-29611	229	91	loss	loss	NOUN
ajst-29611	229	92	  	  	SPACE
ajst-29611	229	93	mse	mse	NOUN
ajst-29611	229	94	 	 	SPACE
ajst-29611	229	95	loss	loss	NOUN
ajst-29611	229	96	  	  	SPACE
ajst-29611	229	97	mse	mse	NOUN
ajst-29611	229	98	 	 	SPACE
ajst-29611	229	99	loss	loss	NOUN
ajst-29611	229	100	  	  	SPACE
ajst-29611	229	101	table	table	NOUN
ajst-29611	229	102	5	5	NUM
ajst-29611	229	103	.	.	PUNCT
ajst-29611	229	104	hyperparameters	hyperparameter	NOUN
ajst-29611	229	105	of	of	ADP
ajst-29611	229	106	ssa	ssa	NOUN
ajst-29611	229	107	-	-	PUNCT
ajst-29611	229	108	svr	svr	PROPN
ajst-29611	229	109	description	description	NOUN
ajst-29611	229	110	imf4	imf4	PROPN
ajst-29611	229	111	:	:	PUNCT
ajst-29611	229	112	ssa	ssa	NOUN
ajst-29611	229	113	-	-	PUNCT
ajst-29611	229	114	svr	svr	PROPN
ajst-29611	229	115	1	1	NUM
ajst-29611	229	116	imf5	imf5	NOUN
ajst-29611	229	117	:	:	PUNCT
ajst-29611	229	118	ssa	ssa	NOUN
ajst-29611	229	119	-	-	PUNCT
ajst-29611	229	120	svr	svr	PROPN
ajst-29611	229	121	2	2	NUM
ajst-29611	229	122	imf6	imf6	NOUN
ajst-29611	229	123	:	:	PUNCT
ajst-29611	229	124	ssa	ssa	NOUN
ajst-29611	229	125	-	-	PUNCT
ajst-29611	229	126	svr	svr	PROPN
ajst-29611	229	127	3	3	NUM
ajst-29611	229	128	imf7	imf7	PROPN
ajst-29611	229	129	:	:	PUNCT
ajst-29611	229	130	ssa	ssa	NOUN
ajst-29611	229	131	-	-	PUNCT
ajst-29611	229	132	svr	svr	PROPN
ajst-29611	229	133	4	4	NUM
ajst-29611	229	134	num	num	NOUN
ajst-29611	229	135	sparrows	sparrow	NOUN
ajst-29611	229	136	50	50	NUM
ajst-29611	229	137	50	50	NUM
ajst-29611	229	138	50	50	NUM
ajst-29611	229	139	50	50	NUM
ajst-29611	229	140	max	max	NOUN
ajst-29611	229	141	iter	iter	NOUN
ajst-29611	229	142	60	60	NUM
ajst-29611	229	143	60	60	NUM
ajst-29611	229	144	60	60	NUM
ajst-29611	229	145	60	60	NUM
ajst-29611	229	146	lb	lb	NUM
ajst-29611	230	1	[	[	X
ajst-29611	230	2	0.1	0.1	NUM
ajst-29611	230	3	,	,	PUNCT
ajst-29611	230	4	0.001	0.001	NUM
ajst-29611	230	5	,	,	PUNCT
ajst-29611	230	6	0.001	0.001	NUM
ajst-29611	230	7	]	]	PUNCT
ajst-29611	231	1	[	[	X
ajst-29611	231	2	0.1	0.1	NUM
ajst-29611	231	3	,	,	PUNCT
ajst-29611	231	4	0.001	0.001	NUM
ajst-29611	231	5	,	,	PUNCT
ajst-29611	231	6	0.001	0.001	NUM
ajst-29611	231	7	]	]	PUNCT
ajst-29611	231	8	[	[	X
ajst-29611	231	9	0.1	0.1	NUM
ajst-29611	231	10	,	,	PUNCT
ajst-29611	231	11	0.001	0.001	NUM
ajst-29611	231	12	,	,	PUNCT
ajst-29611	231	13	0.001	0.001	NUM
ajst-29611	231	14	]	]	PUNCT
ajst-29611	232	1	[	[	X
ajst-29611	232	2	0.1	0.1	NUM
ajst-29611	232	3	,	,	PUNCT
ajst-29611	232	4	0.01	0.01	NUM
ajst-29611	232	5	,	,	PUNCT
ajst-29611	232	6	0.001	0.001	NUM
ajst-29611	232	7	]	]	PUNCT
ajst-29611	232	8	ub	ub	ADP
ajst-29611	233	1	[	[	X
ajst-29611	233	2	10	10	NUM
ajst-29611	233	3	,	,	PUNCT
ajst-29611	233	4	0.05	0.05	NUM
ajst-29611	233	5	,	,	PUNCT
ajst-29611	233	6	10	10	NUM
ajst-29611	233	7	]	]	PUNCT
ajst-29611	234	1	[	[	X
ajst-29611	234	2	10	10	NUM
ajst-29611	234	3	,	,	PUNCT
ajst-29611	234	4	0.05	0.05	NUM
ajst-29611	234	5	,	,	PUNCT
ajst-29611	234	6	10	10	NUM
ajst-29611	234	7	]	]	PUNCT
ajst-29611	235	1	[	[	X
ajst-29611	235	2	10	10	NUM
ajst-29611	235	3	,	,	PUNCT
ajst-29611	235	4	0.1	0.1	NUM
ajst-29611	235	5	,	,	PUNCT
ajst-29611	235	6	10	10	NUM
ajst-29611	235	7	]	]	PUNCT
ajst-29611	236	1	[	[	X
ajst-29611	236	2	15	15	NUM
ajst-29611	236	3	,	,	PUNCT
ajst-29611	236	4	0.1	0.1	NUM
ajst-29611	236	5	,	,	PUNCT
ajst-29611	236	6	15	15	NUM
ajst-29611	236	7	]	]	PUNCT
ajst-29611	236	8	c	c	NOUN
ajst-29611	236	9	5.5468	5.5468	NUM
ajst-29611	236	10	5.1556	5.1556	NUM
ajst-29611	236	11	8.7821	8.7821	NUM
ajst-29611	236	12	13.1235	13.1235	NUM
ajst-29611	236	13	epsilon	epsilon	NOUN
ajst-29611	236	14	0.001	0.001	NUM
ajst-29611	236	15	0.01	0.01	NUM
ajst-29611	236	16	0.001	0.001	NUM
ajst-29611	236	17	0.01	0.01	NUM
ajst-29611	236	18	gamma	gamma	NOUN
ajst-29611	236	19	8.0695	8.0695	NUM
ajst-29611	236	20	9.6023	9.6023	NUM
ajst-29611	236	21	1.6951	1.6951	NUM
ajst-29611	236	22	1.6951	1.6951	NUM
ajst-29611	236	23	this	this	DET
ajst-29611	236	24	selective	selective	ADJ
ajst-29611	236	25	model	model	NOUN
ajst-29611	236	26	matching	matching	NOUN
ajst-29611	236	27	approach	approach	NOUN
ajst-29611	236	28	based	base	VERB
ajst-29611	236	29	on	on	ADP
ajst-29611	236	30	the	the	DET
ajst-29611	236	31	complexity	complexity	NOUN
ajst-29611	236	32	of	of	ADP
ajst-29611	236	33	the	the	DET
ajst-29611	236	34	imf	imf	PROPN
ajst-29611	236	35	components	component	NOUN
ajst-29611	236	36	enables	enable	VERB
ajst-29611	236	37	each	each	DET
ajst-29611	236	38	component	component	NOUN
ajst-29611	236	39	's	's	PART
ajst-29611	236	40	forecast	forecast	NOUN
ajst-29611	236	41	to	to	PART
ajst-29611	236	42	fully	fully	ADV
ajst-29611	236	43	leverage	leverage	VERB
ajst-29611	236	44	the	the	DET
ajst-29611	236	45	strengths	strength	NOUN
ajst-29611	236	46	of	of	ADP
ajst-29611	236	47	different	different	ADJ
ajst-29611	236	48	models	model	NOUN
ajst-29611	236	49	tailored	tailor	VERB
ajst-29611	236	50	to	to	ADP
ajst-29611	236	51	specific	specific	ADJ
ajst-29611	236	52	data	datum	NOUN
ajst-29611	236	53	characteristics	characteristic	NOUN
ajst-29611	236	54	,	,	PUNCT
ajst-29611	236	55	thereby	thereby	ADV
ajst-29611	236	56	enhancing	enhance	VERB
ajst-29611	236	57	the	the	DET
ajst-29611	236	58	overall	overall	ADJ
ajst-29611	236	59	prediction	prediction	NOUN
ajst-29611	236	60	accuracy	accuracy	NOUN
ajst-29611	236	61	and	and	CCONJ
ajst-29611	236	62	stability	stability	NOUN
ajst-29611	236	63	.	.	PUNCT
ajst-29611	237	1	ultimately	ultimately	ADV
ajst-29611	237	2	,	,	PUNCT
ajst-29611	237	3	by	by	ADP
ajst-29611	237	4	temporally	temporally	ADV
ajst-29611	237	5	stacking	stack	VERB
ajst-29611	237	6	and	and	CCONJ
ajst-29611	237	7	integrating	integrate	VERB
ajst-29611	237	8	the	the	DET
ajst-29611	237	9	forecasts	forecast	NOUN
ajst-29611	237	10	of	of	ADP
ajst-29611	237	11	the	the	DET
ajst-29611	237	12	individual	individual	ADJ
ajst-29611	237	13	components	component	NOUN
ajst-29611	237	14	,	,	PUNCT
ajst-29611	237	15	a	a	DET
ajst-29611	237	16	more	more	ADV
ajst-29611	237	17	accurate	accurate	ADJ
ajst-29611	237	18	gas	gas	NOUN
ajst-29611	237	19	production	production	NOUN
ajst-29611	237	20	prediction	prediction	NOUN
ajst-29611	237	21	is	be	AUX
ajst-29611	237	22	obtained	obtain	VERB
ajst-29611	237	23	.	.	PUNCT
ajst-29611	238	1	the	the	DET
ajst-29611	238	2	forecasting	forecasting	NOUN
ajst-29611	238	3	results	result	VERB
ajst-29611	238	4	for	for	ADP
ajst-29611	238	5	each	each	DET
ajst-29611	238	6	component	component	NOUN
ajst-29611	238	7	are	be	AUX
ajst-29611	238	8	presented	present	VERB
ajst-29611	238	9	in	in	ADP
ajst-29611	238	10	figure	figure	NOUN
ajst-29611	238	11	8	8	NUM
ajst-29611	238	12	,	,	PUNCT
ajst-29611	238	13	and	and	CCONJ
ajst-29611	238	14	the	the	DET
ajst-29611	238	15	performance	performance	NOUN
ajst-29611	238	16	metrics	metric	NOUN
ajst-29611	238	17	are	be	AUX
ajst-29611	238	18	summarized	summarize	VERB
ajst-29611	238	19	in	in	ADP
ajst-29611	238	20	table	table	NOUN
ajst-29611	238	21	6	6	NUM
ajst-29611	238	22	.	.	PUNCT
ajst-29611	238	23	by	by	ADP
ajst-29611	238	24	temporally	temporally	ADV
ajst-29611	238	25	stacking	stack	VERB
ajst-29611	238	26	and	and	CCONJ
ajst-29611	238	27	integrating	integrate	VERB
ajst-29611	238	28	the	the	DET
ajst-29611	238	29	individual	individual	ADJ
ajst-29611	238	30	component	component	NOUN
ajst-29611	238	31	forecasts	forecast	NOUN
ajst-29611	238	32	,	,	PUNCT
ajst-29611	238	33	the	the	DET
ajst-29611	238	34	final	final	ADJ
ajst-29611	238	35	gas	gas	NOUN
ajst-29611	238	36	production	production	NOUN
ajst-29611	238	37	prediction	prediction	NOUN
ajst-29611	238	38	is	be	AUX
ajst-29611	238	39	derived	derive	VERB
ajst-29611	238	40	.	.	PUNCT
ajst-29611	239	1	table	table	NOUN
ajst-29611	239	2	6	6	NUM
ajst-29611	239	3	.	.	PUNCT
ajst-29611	239	4	evaluation	evaluation	NOUN
ajst-29611	239	5	metrics	metric	NOUN
ajst-29611	239	6	for	for	ADP
ajst-29611	239	7	the	the	DET
ajst-29611	239	8	prediction	prediction	NOUN
ajst-29611	239	9	performance	performance	NOUN
ajst-29611	239	10	of	of	ADP
ajst-29611	239	11	each	each	DET
ajst-29611	239	12	imfs	imfs	NOUN
ajst-29611	239	13	imfs	imfs	NOUN
ajst-29611	239	14	evaluation	evaluation	NOUN
ajst-29611	239	15	metrics	metric	NOUN
ajst-29611	239	16	mae	mae	PROPN
ajst-29611	239	17	rmse	rmse	PROPN
ajst-29611	239	18	r²	r²	PROPN
ajst-29611	239	19	imf1	imf1	PROPN
ajst-29611	239	20	1.24952	1.24952	NUM
ajst-29611	239	21	1.49771	1.49771	NUM
ajst-29611	239	22	0.99986	0.99986	NUM
ajst-29611	239	23	imf2	imf2	NOUN
ajst-29611	239	24	0.34557	0.34557	NUM
ajst-29611	239	25	0.40946	0.40946	NUM
ajst-29611	239	26	0.99997	0.99997	NUM
ajst-29611	239	27	imf3	imf3	PROPN
ajst-29611	239	28	0.31623	0.31623	NUM
ajst-29611	239	29	0.38441	0.38441	NUM
ajst-29611	239	30	0.99947	0.99947	NUM
ajst-29611	239	31	imf4	imf4	PROPN
ajst-29611	239	32	0.22744	0.22744	NUM
ajst-29611	239	33	0.34378	0.34378	NUM
ajst-29611	239	34	0.99861	0.99861	NUM
ajst-29611	239	35	imf5	imf5	NOUN
ajst-29611	239	36	0.32934	0.32934	NUM
ajst-29611	239	37	0.49940	0.49940	NUM
ajst-29611	239	38	0.99630	0.99630	NUM
ajst-29611	239	39	imf6	imf6	NOUN
ajst-29611	239	40	0.43084	0.43084	NUM
ajst-29611	239	41	0.74934	0.74934	NUM
ajst-29611	239	42	0.96342	0.96342	NUM
ajst-29611	239	43	imf7	imf7	NOUN
ajst-29611	239	44	0.23382	0.23382	NUM
ajst-29611	239	45	0.48875	0.48875	NUM
ajst-29611	239	46	0.98376	0.98376	NUM
ajst-29611	239	47	  	  	SPACE
ajst-29611	239	48	4.5	4.5	NUM
ajst-29611	239	49	.	.	PUNCT
ajst-29611	240	1	prediction	prediction	NOUN
ajst-29611	240	2	results	result	VERB
ajst-29611	240	3	analysis	analysis	NOUN
ajst-29611	240	4	to	to	PART
ajst-29611	240	5	assess	assess	VERB
ajst-29611	240	6	the	the	DET
ajst-29611	240	7	performance	performance	NOUN
ajst-29611	240	8	of	of	ADP
ajst-29611	240	9	the	the	DET
ajst-29611	240	10	proposed	propose	VERB
ajst-29611	240	11	vmd	vmd	PROPN
ajst-29611	240	12	-	-	PUNCT
ajst-29611	240	13	based	base	VERB
ajst-29611	240	14	hybrid	hybrid	NOUN
ajst-29611	240	15	time	time	NOUN
ajst-29611	240	16	series	series	PROPN
ajst-29611	240	17	forecasting	forecasting	NOUN
ajst-29611	240	18	model	model	NOUN
ajst-29611	240	19	,	,	PUNCT
ajst-29611	240	20	comparative	comparative	ADJ
ajst-29611	240	21	experiments	experiment	NOUN
ajst-29611	240	22	were	be	AUX
ajst-29611	240	23	conducted	conduct	VERB
ajst-29611	240	24	using	use	VERB
ajst-29611	240	25	gas	gas	NOUN
ajst-29611	240	26	production	production	NOUN
ajst-29611	240	27	data	datum	NOUN
ajst-29611	240	28	from	from	ADP
ajst-29611	240	29	well	well	ADV
ajst-29611	240	30	299	299	NUM
ajst-29611	240	31	in	in	ADP
ajst-29611	240	32	the	the	DET
ajst-29611	240	33	target	target	NOUN
ajst-29611	240	34	study	study	NOUN
ajst-29611	240	35	area	area	NOUN
ajst-29611	240	36	.	.	PUNCT
ajst-29611	241	1	both	both	PRON
ajst-29611	241	2	comparative	comparative	ADJ
ajst-29611	241	3	and	and	CCONJ
ajst-29611	241	4	ablation	ablation	NOUN
ajst-29611	241	5	experimental	experimental	ADJ
ajst-29611	241	6	results	result	NOUN
ajst-29611	241	7	are	be	AUX
ajst-29611	241	8	presented	present	VERB
ajst-29611	241	9	and	and	CCONJ
ajst-29611	241	10	discussed	discuss	VERB
ajst-29611	241	11	.	.	PUNCT
ajst-29611	242	1	the	the	DET
ajst-29611	242	2	analysis	analysis	NOUN
ajst-29611	242	3	is	be	AUX
ajst-29611	242	4	organized	organize	VERB
ajst-29611	242	5	into	into	ADP
ajst-29611	242	6	four	four	NUM
ajst-29611	242	7	scenarios	scenario	NOUN
ajst-29611	242	8	:	:	PUNCT
ajst-29611	242	9	(	(	PUNCT
ajst-29611	242	10	1	1	X
ajst-29611	242	11	)	)	PUNCT
ajst-29611	242	12	forecasting	forecast	VERB
ajst-29611	242	13	the	the	DET
ajst-29611	242	14	original	original	ADJ
ajst-29611	242	15	gas	gas	NOUN
ajst-29611	242	16	production	production	NOUN
ajst-29611	242	17	data	datum	NOUN
ajst-29611	242	18	using	use	VERB
ajst-29611	242	19	various	various	ADJ
ajst-29611	242	20	individual	individual	ADJ
ajst-29611	242	21	prediction	prediction	NOUN
ajst-29611	242	22	models	model	NOUN
ajst-29611	242	23	,	,	PUNCT
ajst-29611	242	24	as	as	SCONJ
ajst-29611	242	25	illustrated	illustrate	VERB
ajst-29611	242	26	by	by	ADP
ajst-29611	242	27	models	model	NOUN
ajst-29611	242	28	1	1	NUM
ajst-29611	242	29	and	and	CCONJ
ajst-29611	242	30	2	2	NUM
ajst-29611	242	31	;	;	PUNCT
ajst-29611	242	32	(	(	PUNCT
ajst-29611	242	33	2	2	X
ajst-29611	242	34	)	)	PUNCT
ajst-29611	242	35	forecasting	forecast	VERB
ajst-29611	242	36	the	the	DET
ajst-29611	242	37	original	original	ADJ
ajst-29611	242	38	gas	gas	NOUN
ajst-29611	242	39	production	production	NOUN
ajst-29611	242	40	data	datum	NOUN
ajst-29611	242	41	using	use	VERB
ajst-29611	242	42	hybrid	hybrid	ADJ
ajst-29611	242	43	network	network	NOUN
ajst-29611	242	44	models	model	NOUN
ajst-29611	242	45	,	,	PUNCT
ajst-29611	242	46	as	as	SCONJ
ajst-29611	242	47	shown	show	VERB
ajst-29611	242	48	by	by	ADP
ajst-29611	242	49	models	model	NOUN
ajst-29611	242	50	3	3	NUM
ajst-29611	242	51	and	and	CCONJ
ajst-29611	242	52	4	4	NUM
ajst-29611	242	53	;	;	PUNCT
ajst-29611	242	54	(	(	PUNCT
ajst-29611	242	55	3	3	X
ajst-29611	242	56	)	)	PUNCT
ajst-29611	242	57	constructing	construct	VERB
ajst-29611	242	58	feature	feature	NOUN
ajst-29611	242	59	sequences	sequence	NOUN
ajst-29611	242	60	using	use	VERB
ajst-29611	242	61	the	the	DET
ajst-29611	242	62	vmd	vmd	PROPN
ajst-29611	242	63	method	method	NOUN
ajst-29611	242	64	applied	apply	VERB
ajst-29611	242	65	in	in	ADP
ajst-29611	242	66	this	this	DET
ajst-29611	242	67	study	study	NOUN
ajst-29611	242	68	,	,	PUNCT
ajst-29611	242	69	followed	follow	VERB
ajst-29611	242	70	by	by	ADP
ajst-29611	242	71	forecasting	forecast	VERB
ajst-29611	242	72	with	with	ADP
ajst-29611	242	73	different	different	ADJ
ajst-29611	242	74	models	model	NOUN
ajst-29611	242	75	,	,	PUNCT
ajst-29611	242	76	as	as	SCONJ
ajst-29611	242	77	exemplified	exemplify	VERB
ajst-29611	242	78	by	by	ADP
ajst-29611	242	79	models	model	NOUN
ajst-29611	242	80	5	5	NUM
ajst-29611	242	81	and	and	CCONJ
ajst-29611	242	82	6	6	NUM
ajst-29611	242	83	;	;	PUNCT
ajst-29611	242	84	(	(	PUNCT
ajst-29611	242	85	4	4	X
ajst-29611	242	86	)	)	PUNCT
ajst-29611	242	87	applying	apply	VERB
ajst-29611	242	88	different	different	ADJ
ajst-29611	242	89	mode	mode	NOUN
ajst-29611	242	90	decomposition	decomposition	NOUN
ajst-29611	242	91	methods	method	NOUN
ajst-29611	242	92	to	to	ADP
ajst-29611	242	93	the	the	DET
ajst-29611	242	94	original	original	ADJ
ajst-29611	242	95	data	datum	NOUN
ajst-29611	242	96	,	,	PUNCT
ajst-29611	242	97	followed	follow	VERB
ajst-29611	242	98	by	by	ADP
ajst-29611	242	99	forecasting	forecast	VERB
ajst-29611	242	100	using	use	VERB
ajst-29611	242	101	the	the	DET
ajst-29611	242	102	hybrid	hybrid	ADJ
ajst-29611	242	103	time	time	NOUN
ajst-29611	242	104	series	series	PROPN
ajst-29611	242	105	model	model	PROPN
ajst-29611	242	106	established	establish	VERB
ajst-29611	242	107	in	in	ADP
ajst-29611	242	108	this	this	DET
ajst-29611	242	109	study	study	NOUN
ajst-29611	242	110	,	,	PUNCT
ajst-29611	242	111	as	as	SCONJ
ajst-29611	242	112	represented	represent	VERB
ajst-29611	242	113	by	by	ADP
ajst-29611	242	114	models	model	NOUN
ajst-29611	242	115	7	7	NUM
ajst-29611	242	116	and	and	CCONJ
ajst-29611	242	117	8	8	NUM
ajst-29611	242	118	.	.	PUNCT
ajst-29611	243	1	the	the	DET
ajst-29611	243	2	specific	specific	ADJ
ajst-29611	243	3	descriptions	description	NOUN
ajst-29611	243	4	of	of	ADP
ajst-29611	243	5	the	the	DET
ajst-29611	243	6	models	model	NOUN
ajst-29611	243	7	are	be	AUX
ajst-29611	243	8	as	as	SCONJ
ajst-29611	243	9	follows	follow	VERB
ajst-29611	243	10	:	:	PUNCT
ajst-29611	243	11	model	model	NOUN
ajst-29611	243	12	1	1	NUM
ajst-29611	243	13	:	:	PUNCT
ajst-29611	243	14	lstm	lstm	NOUN
ajst-29611	243	15	–	–	PUNCT
ajst-29611	243	16	the	the	DET
ajst-29611	243	17	sequence	sequence	NOUN
ajst-29611	243	18	is	be	AUX
ajst-29611	243	19	forecasted	forecast	VERB
ajst-29611	243	20	using	use	VERB
ajst-29611	243	21	an	an	DET
ajst-29611	243	22	lstm	lstm	ADJ
ajst-29611	243	23	neural	neural	ADJ
ajst-29611	243	24	network	network	NOUN
ajst-29611	243	25	.	.	PUNCT
ajst-29611	244	1	model	model	NOUN
ajst-29611	244	2	2	2	NUM
ajst-29611	244	3	:	:	PUNCT
ajst-29611	244	4	svr	svr	PROPN
ajst-29611	244	5	–	–	PUNCT
ajst-29611	244	6	the	the	DET
ajst-29611	244	7	sequence	sequence	NOUN
ajst-29611	244	8	is	be	AUX
ajst-29611	244	9	forecasted	forecast	VERB
ajst-29611	244	10	using	use	VERB
ajst-29611	244	11	an	an	DET
ajst-29611	244	12	svr	svr	PROPN
ajst-29611	244	13	neural	neural	ADJ
ajst-29611	244	14	network	network	NOUN
ajst-29611	244	15	.	.	PUNCT
ajst-29611	245	1	model	model	NOUN
ajst-29611	245	2	3	3	NUM
ajst-29611	245	3	:	:	PUNCT
ajst-29611	245	4	cnn	cnn	PROPN
ajst-29611	245	5	-	-	PUNCT
ajst-29611	245	6	lstm	lstm	PROPN
ajst-29611	245	7	–	–	PUNCT
ajst-29611	245	8	the	the	DET
ajst-29611	245	9	sequence	sequence	NOUN
ajst-29611	245	10	is	be	AUX
ajst-29611	245	11	forecasted	forecast	VERB
ajst-29611	245	12	using	use	VERB
ajst-29611	245	13	an	an	DET
ajst-29611	245	14	lstm	lstm	ADJ
ajst-29611	245	15	model	model	NOUN
ajst-29611	245	16	enhanced	enhance	VERB
ajst-29611	245	17	by	by	ADP
ajst-29611	245	18	a	a	DET
ajst-29611	245	19	one	one	NUM
ajst-29611	245	20	-	-	PUNCT
ajst-29611	245	21	dimensional	dimensional	ADJ
ajst-29611	245	22	convolutional	convolutional	ADJ
ajst-29611	245	23	neural	neural	ADJ
ajst-29611	245	24	network	network	NOUN
ajst-29611	245	25	.	.	PUNCT
ajst-29611	246	1	model	model	NOUN
ajst-29611	246	2	4	4	NUM
ajst-29611	246	3	:	:	PUNCT
ajst-29611	246	4	ssa	ssa	NOUN
ajst-29611	246	5	-	-	PUNCT
ajst-29611	246	6	svr	svr	PROPN
ajst-29611	246	7	–	–	PUNCT
ajst-29611	246	8	the	the	DET
ajst-29611	246	9	sequence	sequence	NOUN
ajst-29611	246	10	is	be	AUX
ajst-29611	246	11	forecasted	forecast	VERB
ajst-29611	246	12	using	use	VERB
ajst-29611	246	13	an	an	DET
ajst-29611	246	14	lstm	lstm	NOUN
ajst-29611	246	15	model	model	NOUN
ajst-29611	246	16	optimized	optimize	VERB
ajst-29611	246	17	through	through	ADP
ajst-29611	246	18	the	the	DET
ajst-29611	246	19	sparrow	sparrow	ADJ
ajst-29611	246	20	search	search	NOUN
ajst-29611	246	21	algorithm	algorithm	NOUN
ajst-29611	246	22	.	.	PUNCT
ajst-29611	247	1	model	model	NOUN
ajst-29611	247	2	5	5	NUM
ajst-29611	247	3	:	:	PUNCT
ajst-29611	247	4	vmd	vmd	NOUN
ajst-29611	247	5	-	-	NOUN
ajst-29611	247	6	cl	cl	INTJ
ajst-29611	247	7	–	–	PUNCT
ajst-29611	247	8	the	the	DET
ajst-29611	247	9	sequence	sequence	NOUN
ajst-29611	247	10	is	be	AUX
ajst-29611	247	11	first	first	ADV
ajst-29611	247	12	decomposed	decompose	VERB
ajst-29611	247	13	using	use	VERB
ajst-29611	247	14	vmd	vmd	NOUN
ajst-29611	247	15	,	,	PUNCT
ajst-29611	247	16	after	after	ADP
ajst-29611	247	17	which	which	PRON
ajst-29611	247	18	each	each	DET
ajst-29611	247	19	component	component	NOUN
ajst-29611	247	20	is	be	AUX
ajst-29611	247	21	independently	independently	ADV
ajst-29611	247	22	forecasted	forecast	VERB
ajst-29611	247	23	using	use	VERB
ajst-29611	247	24	the	the	DET
ajst-29611	247	25	cnn	cnn	PROPN
ajst-29611	247	26	-	-	PUNCT
ajst-29611	247	27	lstm	lstm	PROPN
ajst-29611	247	28	model	model	NOUN
ajst-29611	247	29	.	.	PUNCT
ajst-29611	248	1	the	the	DET
ajst-29611	248	2	final	final	ADJ
ajst-29611	248	3	prediction	prediction	NOUN
ajst-29611	248	4	is	be	AUX
ajst-29611	248	5	derived	derive	VERB
ajst-29611	248	6	by	by	ADP
ajst-29611	248	7	aggregating	aggregate	VERB
ajst-29611	248	8	the	the	DET
ajst-29611	248	9	individual	individual	ADJ
ajst-29611	248	10	forecasts	forecast	NOUN
ajst-29611	248	11	.	.	PUNCT
ajst-29611	249	1	model	model	NOUN
ajst-29611	249	2	6	6	NUM
ajst-29611	249	3	:	:	PUNCT
ajst-29611	249	4	vmd	vmd	PROPN
ajst-29611	249	5	-	-	NOUN
ajst-29611	249	6	ss	ss	VERB
ajst-29611	249	7	–	–	PUNCT
ajst-29611	249	8	the	the	DET
ajst-29611	249	9	sequence	sequence	NOUN
ajst-29611	249	10	is	be	AUX
ajst-29611	249	11	first	first	ADV
ajst-29611	249	12	decomposed	decompose	VERB
ajst-29611	249	13	using	use	VERB
ajst-29611	249	14	vmd	vmd	NOUN
ajst-29611	249	15	,	,	PUNCT
ajst-29611	249	16	after	after	ADP
ajst-29611	249	17	which	which	PRON
ajst-29611	249	18	each	each	DET
ajst-29611	249	19	component	component	NOUN
ajst-29611	249	20	is	be	AUX
ajst-29611	249	21	independently	independently	ADV
ajst-29611	249	22	forecasted	forecast	VERB
ajst-29611	249	23	using	use	VERB
ajst-29611	249	24	the	the	DET
ajst-29611	249	25	ssa	ssa	NOUN
ajst-29611	249	26	-	-	PUNCT
ajst-29611	249	27	svr	svr	PROPN
ajst-29611	249	28	model	model	NOUN
ajst-29611	249	29	.	.	PUNCT
ajst-29611	250	1	the	the	DET
ajst-29611	250	2	final	final	ADJ
ajst-29611	250	3	prediction	prediction	NOUN
ajst-29611	250	4	is	be	AUX
ajst-29611	250	5	derived	derive	VERB
ajst-29611	250	6	by	by	ADP
ajst-29611	250	7	aggregating	aggregate	VERB
ajst-29611	250	8	the	the	DET
ajst-29611	250	9	individual	individual	ADJ
ajst-29611	250	10	forecasts	forecast	NOUN
ajst-29611	250	11	.	.	PUNCT
ajst-29611	251	1	model	model	NOUN
ajst-29611	251	2	7	7	NUM
ajst-29611	251	3	:	:	PUNCT
ajst-29611	251	4	emd	emd	PROPN
ajst-29611	251	5	-	-	PUNCT
ajst-29611	251	6	cl	cl	NOUN
ajst-29611	251	7	-	-	NOUN
ajst-29611	251	8	ss	ss	NOUN
ajst-29611	251	9	–	–	PUNCT
ajst-29611	251	10	the	the	DET
ajst-29611	251	11	sequence	sequence	NOUN
ajst-29611	251	12	is	be	AUX
ajst-29611	251	13	first	first	ADV
ajst-29611	251	14	decomposed	decompose	VERB
ajst-29611	251	15	using	use	VERB
ajst-29611	251	16	emd	emd	PROPN
ajst-29611	251	17	,	,	PUNCT
ajst-29611	251	18	and	and	CCONJ
ajst-29611	251	19	based	base	VERB
ajst-29611	251	20	on	on	ADP
ajst-29611	251	21	the	the	DET
ajst-29611	251	22	permutation	permutation	NOUN
ajst-29611	251	23	entropy	entropy	NOUN
ajst-29611	251	24	values	value	NOUN
ajst-29611	251	25	of	of	ADP
ajst-29611	251	26	each	each	DET
ajst-29611	251	27	component	component	NOUN
ajst-29611	251	28	,	,	PUNCT
ajst-29611	251	29	high	high	ADJ
ajst-29611	251	30	-	-	PUNCT
ajst-29611	251	31	complexity	complexity	NOUN
ajst-29611	251	32	components	component	NOUN
ajst-29611	251	33	are	be	AUX
ajst-29611	251	34	forecasted	forecast	VERB
ajst-29611	251	35	210	210	NUM
ajst-29611	251	36	using	use	VERB
ajst-29611	251	37	the	the	DET
ajst-29611	251	38	cnn	cnn	PROPN
ajst-29611	251	39	-	-	PUNCT
ajst-29611	251	40	lstm	lstm	PROPN
ajst-29611	251	41	model	model	NOUN
ajst-29611	251	42	,	,	PUNCT
ajst-29611	251	43	while	while	SCONJ
ajst-29611	251	44	the	the	DET
ajst-29611	251	45	remaining	remain	VERB
ajst-29611	251	46	components	component	NOUN
ajst-29611	251	47	are	be	AUX
ajst-29611	251	48	forecasted	forecast	VERB
ajst-29611	251	49	using	use	VERB
ajst-29611	251	50	the	the	DET
ajst-29611	251	51	ssa	ssa	NOUN
ajst-29611	251	52	-	-	PUNCT
ajst-29611	251	53	svr	svr	PROPN
ajst-29611	251	54	model	model	NOUN
ajst-29611	251	55	.	.	PUNCT
ajst-29611	252	1	the	the	DET
ajst-29611	252	2	final	final	ADJ
ajst-29611	252	3	prediction	prediction	NOUN
ajst-29611	252	4	is	be	AUX
ajst-29611	252	5	obtained	obtain	VERB
ajst-29611	252	6	by	by	ADP
ajst-29611	252	7	aggregating	aggregate	VERB
ajst-29611	252	8	the	the	DET
ajst-29611	252	9	individual	individual	ADJ
ajst-29611	252	10	forecasts	forecast	NOUN
ajst-29611	252	11	.	.	PUNCT
ajst-29611	253	1	model	model	NOUN
ajst-29611	253	2	8	8	NUM
ajst-29611	253	3	:	:	PUNCT
ajst-29611	253	4	ceemdan	ceemdan	ADJ
ajst-29611	253	5	-	-	PUNCT
ajst-29611	253	6	cl	cl	NOUN
ajst-29611	253	7	-	-	NOUN
ajst-29611	253	8	ss	ss	NOUN
ajst-29611	253	9	–	–	PUNCT
ajst-29611	253	10	the	the	DET
ajst-29611	253	11	sequence	sequence	NOUN
ajst-29611	253	12	is	be	AUX
ajst-29611	253	13	first	first	ADV
ajst-29611	253	14	decomposed	decompose	VERB
ajst-29611	253	15	using	use	VERB
ajst-29611	253	16	ceemdan	ceemdan	PROPN
ajst-29611	253	17	,	,	PUNCT
ajst-29611	253	18	and	and	CCONJ
ajst-29611	253	19	based	base	VERB
ajst-29611	253	20	on	on	ADP
ajst-29611	253	21	the	the	DET
ajst-29611	253	22	permutation	permutation	NOUN
ajst-29611	253	23	entropy	entropy	NOUN
ajst-29611	253	24	values	value	NOUN
ajst-29611	253	25	of	of	ADP
ajst-29611	253	26	each	each	DET
ajst-29611	253	27	component	component	NOUN
ajst-29611	253	28	,	,	PUNCT
ajst-29611	253	29	highcomplexity	highcomplexity	NOUN
ajst-29611	253	30	components	component	NOUN
ajst-29611	253	31	are	be	AUX
ajst-29611	253	32	forecasted	forecast	VERB
ajst-29611	253	33	using	use	VERB
ajst-29611	253	34	the	the	DET
ajst-29611	253	35	cnn	cnn	PROPN
ajst-29611	253	36	-	-	PUNCT
ajst-29611	253	37	lstm	lstm	PROPN
ajst-29611	253	38	model	model	NOUN
ajst-29611	253	39	,	,	PUNCT
ajst-29611	253	40	while	while	SCONJ
ajst-29611	253	41	the	the	DET
ajst-29611	253	42	remaining	remain	VERB
ajst-29611	253	43	components	component	NOUN
ajst-29611	253	44	are	be	AUX
ajst-29611	253	45	forecasted	forecast	VERB
ajst-29611	253	46	using	use	VERB
ajst-29611	253	47	the	the	DET
ajst-29611	253	48	ssa	ssa	NOUN
ajst-29611	253	49	-	-	PUNCT
ajst-29611	253	50	svr	svr	PROPN
ajst-29611	253	51	model	model	NOUN
ajst-29611	253	52	.	.	PUNCT
ajst-29611	254	1	the	the	DET
ajst-29611	254	2	final	final	ADJ
ajst-29611	254	3	prediction	prediction	NOUN
ajst-29611	254	4	is	be	AUX
ajst-29611	254	5	obtained	obtain	VERB
ajst-29611	254	6	by	by	ADP
ajst-29611	254	7	aggregating	aggregate	VERB
ajst-29611	254	8	the	the	DET
ajst-29611	254	9	individual	individual	ADJ
ajst-29611	254	10	forecasts	forecast	NOUN
ajst-29611	254	11	.	.	PUNCT
ajst-29611	255	1	figure	figure	VERB
ajst-29611	255	2	8	8	NUM
ajst-29611	255	3	.	.	PUNCT
ajst-29611	256	1	predict	predict	VERB
ajst-29611	256	2	results	result	NOUN
ajst-29611	256	3	for	for	ADP
ajst-29611	256	4	each	each	DET
ajst-29611	256	5	imfs	imfs	NOUN
ajst-29611	256	6	the	the	DET
ajst-29611	256	7	model	model	NOUN
ajst-29611	256	8	proposed	propose	VERB
ajst-29611	256	9	in	in	ADP
ajst-29611	256	10	this	this	DET
ajst-29611	256	11	study	study	NOUN
ajst-29611	256	12	was	be	AUX
ajst-29611	256	13	thoroughly	thoroughly	ADV
ajst-29611	256	14	evaluated	evaluate	VERB
ajst-29611	256	15	against	against	ADP
ajst-29611	256	16	the	the	DET
ajst-29611	256	17	eight	eight	NUM
ajst-29611	256	18	previously	previously	ADV
ajst-29611	256	19	mentioned	mention	VERB
ajst-29611	256	20	models	model	NOUN
ajst-29611	256	21	based	base	VERB
ajst-29611	256	22	on	on	ADP
ajst-29611	256	23	their	their	PRON
ajst-29611	256	24	fitting	fitting	ADJ
ajst-29611	256	25	performance	performance	NOUN
ajst-29611	256	26	on	on	ADP
ajst-29611	256	27	the	the	DET
ajst-29611	256	28	test	test	NOUN
ajst-29611	256	29	set	set	NOUN
ajst-29611	256	30	.	.	PUNCT
ajst-29611	257	1	the	the	DET
ajst-29611	257	2	results	result	NOUN
ajst-29611	257	3	of	of	ADP
ajst-29611	257	4	the	the	DET
ajst-29611	257	5	comparison	comparison	NOUN
ajst-29611	257	6	are	be	AUX
ajst-29611	257	7	illustrated	illustrate	VERB
ajst-29611	257	8	in	in	ADP
ajst-29611	257	9	figure	figure	NOUN
ajst-29611	257	10	8	8	NUM
ajst-29611	257	11	,	,	PUNCT
ajst-29611	257	12	and	and	CCONJ
ajst-29611	257	13	the	the	DET
ajst-29611	257	14	evaluation	evaluation	NOUN
ajst-29611	257	15	metrics	metric	NOUN
ajst-29611	257	16	are	be	AUX
ajst-29611	257	17	detailed	detail	VERB
ajst-29611	257	18	in	in	ADP
ajst-29611	257	19	table	table	NOUN
ajst-29611	257	20	7	7	NUM
ajst-29611	257	21	.	.	NOUN
ajst-29611	257	22	0	0	NUM
ajst-29611	258	1	50	50	NUM
ajst-29611	258	2	100	100	NUM
ajst-29611	258	3	150	150	NUM
ajst-29611	258	4	200	200	NUM
ajst-29611	258	5	250	250	NUM
ajst-29611	258	6	300	300	NUM
ajst-29611	258	7	350	350	NUM
ajst-29611	258	8	400	400	NUM
ajst-29611	258	9	250	250	NUM
ajst-29611	258	10	500	500	NUM
ajst-29611	258	11	(	(	PUNCT
ajst-29611	258	12	a	a	X
ajst-29611	258	13	)	)	PUNCT
ajst-29611	258	14	imf1	imf1	PROPN
ajst-29611	258	15	true	true	ADJ
ajst-29611	258	16	predicted	predict	VERB
ajst-29611	258	17	0	0	NUM
ajst-29611	258	18	50	50	NUM
ajst-29611	258	19	100	100	NUM
ajst-29611	258	20	150	150	NUM
ajst-29611	258	21	200	200	NUM
ajst-29611	258	22	250	250	NUM
ajst-29611	258	23	300	300	NUM
ajst-29611	258	24	350	350	NUM
ajst-29611	258	25	400	400	NUM
ajst-29611	258	26	−200	−200	NOUN
ajst-29611	258	27	0	0	NUM
ajst-29611	258	28	200	200	NUM
ajst-29611	258	29	a	a	DET
ajst-29611	258	30	m	m	NOUN
ajst-29611	258	31	p	p	NOUN
ajst-29611	258	32	li	li	X
ajst-29611	258	33	tu	tu	PROPN
ajst-29611	258	34	d	d	PROPN
ajst-29611	258	35	e	e	X
ajst-29611	258	36	(	(	PUNCT
ajst-29611	258	37	b	b	NOUN
ajst-29611	258	38	)	)	PUNCT
ajst-29611	258	39	imf2	imf2	NOUN
ajst-29611	258	40	true	true	ADJ
ajst-29611	258	41	predicted	predict	VERB
ajst-29611	258	42	a	a	DET
ajst-29611	258	43	m	m	NOUN
ajst-29611	258	44	p	p	NOUN
ajst-29611	258	45	li	li	X
ajst-29611	258	46	tu	tu	X
ajst-29611	258	47	de	de	X
ajst-29611	258	48	0	0	NUM
ajst-29611	258	49	50	50	NUM
ajst-29611	258	50	100	100	NUM
ajst-29611	258	51	150	150	NUM
ajst-29611	258	52	200	200	NUM
ajst-29611	258	53	250	250	NUM
ajst-29611	258	54	300	300	NUM
ajst-29611	258	55	350	350	NUM
ajst-29611	258	56	400	400	NUM
ajst-29611	258	57	−50	−50	NOUN
ajst-29611	258	58	0	0	NUM
ajst-29611	258	59	50	50	NUM
ajst-29611	258	60	a	a	DET
ajst-29611	258	61	m	m	NOUN
ajst-29611	258	62	p	p	NOUN
ajst-29611	258	63	li	li	X
ajst-29611	258	64	tu	tu	PROPN
ajst-29611	258	65	d	d	X
ajst-29611	258	66	e	e	X
ajst-29611	258	67	(	(	PUNCT
ajst-29611	258	68	c	c	X
ajst-29611	258	69	)	)	PUNCT
ajst-29611	258	70	imf3	imf3	PROPN
ajst-29611	258	71	true	true	ADJ
ajst-29611	258	72	predicted	predict	VERB
ajst-29611	258	73	true	true	ADJ
ajst-29611	258	74	predicted	predict	VERB
ajst-29611	258	75	true	true	ADJ
ajst-29611	258	76	predicted	predict	VERB
ajst-29611	258	77	true	true	ADJ
ajst-29611	258	78	predicted	predict	VERB
ajst-29611	258	79	true	true	ADJ
ajst-29611	258	80	predicted	predict	VERB
ajst-29611	258	81	0	0	NUM
ajst-29611	258	82	50	50	NUM
ajst-29611	258	83	100	100	NUM
ajst-29611	258	84	150	150	NUM
ajst-29611	258	85	200	200	NUM
ajst-29611	258	86	250	250	NUM
ajst-29611	258	87	300	300	NUM
ajst-29611	258	88	350	350	NUM
ajst-29611	258	89	400	400	NUM
ajst-29611	258	90	−40	−40	NOUN
ajst-29611	258	91	0	0	NUM
ajst-29611	258	92	40	40	NUM
ajst-29611	259	1	a	a	DET
ajst-29611	259	2	m	m	VERB
ajst-29611	259	3	p	p	NOUN
ajst-29611	259	4	li	li	X
ajst-29611	259	5	tu	tu	PROPN
ajst-29611	259	6	d	d	X
ajst-29611	259	7	e	e	X
ajst-29611	259	8	(	(	PUNCT
ajst-29611	259	9	d	d	NOUN
ajst-29611	259	10	)	)	PUNCT
ajst-29611	259	11	imf4	imf4	NOUN
ajst-29611	259	12	0	0	NUM
ajst-29611	260	1	50	50	NUM
ajst-29611	260	2	100	100	NUM
ajst-29611	260	3	150	150	NUM
ajst-29611	260	4	200	200	NUM
ajst-29611	260	5	250	250	NUM
ajst-29611	260	6	300	300	NUM
ajst-29611	260	7	350	350	NUM
ajst-29611	260	8	400	400	NUM
ajst-29611	260	9	−40	−40	NOUN
ajst-29611	260	10	0	0	NUM
ajst-29611	260	11	40	40	NUM
ajst-29611	260	12	a	a	DET
ajst-29611	260	13	m	m	VERB
ajst-29611	260	14	p	p	NOUN
ajst-29611	260	15	li	li	X
ajst-29611	260	16	tu	tu	PROPN
ajst-29611	260	17	d	d	X
ajst-29611	260	18	e	e	X
ajst-29611	260	19	(	(	PUNCT
ajst-29611	260	20	e	e	NOUN
ajst-29611	260	21	)	)	PUNCT
ajst-29611	260	22	imf5	imf5	NOUN
ajst-29611	260	23	0	0	NUM
ajst-29611	260	24	50	50	NUM
ajst-29611	260	25	100	100	NUM
ajst-29611	260	26	150	150	NUM
ajst-29611	260	27	200	200	NUM
ajst-29611	260	28	250	250	NUM
ajst-29611	260	29	300	300	NUM
ajst-29611	260	30	350	350	NUM
ajst-29611	260	31	400	400	NUM
ajst-29611	260	32	−30	−30	NOUN
ajst-29611	260	33	0	0	NUM
ajst-29611	260	34	30	30	NUM
ajst-29611	260	35	a	a	DET
ajst-29611	260	36	m	m	NOUN
ajst-29611	260	37	p	p	NOUN
ajst-29611	260	38	li	li	X
ajst-29611	260	39	tu	tu	PROPN
ajst-29611	260	40	d	d	X
ajst-29611	260	41	e	e	X
ajst-29611	260	42	(	(	PUNCT
ajst-29611	260	43	f	f	X
ajst-29611	260	44	)	)	PUNCT
ajst-29611	260	45	imf6	imf6	NOUN
ajst-29611	260	46	0	0	NUM
ajst-29611	260	47	50	50	NUM
ajst-29611	260	48	100	100	NUM
ajst-29611	260	49	150	150	NUM
ajst-29611	260	50	200	200	NUM
ajst-29611	260	51	250	250	NUM
ajst-29611	260	52	300	300	NUM
ajst-29611	260	53	350	350	NUM
ajst-29611	260	54	400	400	NUM
ajst-29611	260	55	−30	−30	NOUN
ajst-29611	260	56	0	0	NUM
ajst-29611	260	57	30	30	NUM
ajst-29611	260	58	a	a	DET
ajst-29611	260	59	m	m	NOUN
ajst-29611	260	60	p	p	NOUN
ajst-29611	260	61	li	li	X
ajst-29611	260	62	tu	tu	PROPN
ajst-29611	260	63	d	d	X
ajst-29611	260	64	e	e	X
ajst-29611	260	65	(	(	PUNCT
ajst-29611	260	66	g	g	NOUN
ajst-29611	260	67	)	)	PUNCT
ajst-29611	260	68	imf7	imf7	NOUN
ajst-29611	260	69	211	211	NUM
ajst-29611	260	70	figure	figure	NOUN
ajst-29611	260	71	9	9	NUM
ajst-29611	260	72	.	.	PUNCT
ajst-29611	260	73	comparison	comparison	NOUN
ajst-29611	260	74	of	of	ADP
ajst-29611	260	75	prediction	prediction	NOUN
ajst-29611	260	76	results	result	NOUN
ajst-29611	260	77	for	for	ADP
ajst-29611	260	78	various	various	ADJ
ajst-29611	260	79	modes	mode	NOUN
ajst-29611	260	80	table	table	NOUN
ajst-29611	260	81	7	7	NUM
ajst-29611	260	82	.	.	PUNCT
ajst-29611	260	83	evaluation	evaluation	NOUN
ajst-29611	260	84	metrics	metric	NOUN
ajst-29611	260	85	for	for	ADP
ajst-29611	260	86	the	the	DET
ajst-29611	260	87	prediction	prediction	NOUN
ajst-29611	260	88	performance	performance	NOUN
ajst-29611	260	89	of	of	ADP
ajst-29611	260	90	various	various	ADJ
ajst-29611	260	91	modes	mode	NOUN
ajst-29611	260	92	model	model	NOUN
ajst-29611	260	93	evaluation	evaluation	NOUN
ajst-29611	260	94	metrics	metric	NOUN
ajst-29611	260	95	mae	mae	PROPN
ajst-29611	260	96	rmse	rmse	PROPN
ajst-29611	260	97	r²	r²	VERB
ajst-29611	260	98	lstm	lstm	NOUN
ajst-29611	260	99	7.1574	7.1574	NUM
ajst-29611	260	100	21.2494	21.2494	NUM
ajst-29611	260	101	0.9854	0.9854	NUM
ajst-29611	260	102	svr	svr	PROPN
ajst-29611	260	103	17.5175	17.5175	NUM
ajst-29611	260	104	29.1886	29.1886	NUM
ajst-29611	260	105	0.9725	0.9725	NUM
ajst-29611	260	106	cnn	cnn	PROPN
ajst-29611	260	107	-	-	PUNCT
ajst-29611	260	108	lstm	lstm	ADJ
ajst-29611	260	109	6.8370	6.8370	NUM
ajst-29611	260	110	20.6678	20.6678	NUM
ajst-29611	260	111	0.9862	0.9862	NUM
ajst-29611	260	112	ssa	ssa	NOUN
ajst-29611	260	113	-	-	PUNCT
ajst-29611	260	114	svr	svr	NOUN
ajst-29611	260	115	4.9957	4.9957	NUM
ajst-29611	260	116	20.6067	20.6067	NUM
ajst-29611	260	117	0.9863	0.9863	NUM
ajst-29611	260	118	vmd	vmd	NOUN
ajst-29611	260	119	-	-	NOUN
ajst-29611	260	120	cl	cl	NOUN
ajst-29611	260	121	2.7330	2.7330	NUM
ajst-29611	260	122	4.1677	4.1677	NUM
ajst-29611	260	123	0.9994	0.9994	NUM
ajst-29611	261	1	vmd	vmd	PROPN
ajst-29611	261	2	-	-	PROPN
ajst-29611	261	3	ss	ss	PROPN
ajst-29611	261	4	5.7358	5.7358	NUM
ajst-29611	261	5	6.7892	6.7892	NUM
ajst-29611	261	6	0.9984	0.9984	NUM
ajst-29611	261	7	emd	emd	PROPN
ajst-29611	261	8	-	-	PUNCT
ajst-29611	261	9	cl	cl	NOUN
ajst-29611	261	10	-	-	PUNCT
ajst-29611	261	11	ss	ss	NOUN
ajst-29611	261	12	8.2525	8.2525	NUM
ajst-29611	261	13	23.4347	23.4347	NUM
ajst-29611	261	14	0.9822	0.9822	NUM
ajst-29611	261	15	ceemdan	ceemdan	ADJ
ajst-29611	261	16	-	-	PUNCT
ajst-29611	261	17	cl	cl	NOUN
ajst-29611	261	18	-	-	PUNCT
ajst-29611	261	19	ss	ss	NOUN
ajst-29611	261	20	7.3870	7.3870	NUM
ajst-29611	261	21	12.4426	12.4426	NUM
ajst-29611	261	22	0.9950	0.9950	NUM
ajst-29611	261	23	proposed	propose	VERB
ajst-29611	261	24	1.5158	1.5158	NUM
ajst-29611	261	25	2.0608	2.0608	NUM
ajst-29611	261	26	0.9998	0.9998	NUM
ajst-29611	261	27	the	the	DET
ajst-29611	261	28	comparative	comparative	ADJ
ajst-29611	261	29	experiments	experiment	NOUN
ajst-29611	261	30	show	show	VERB
ajst-29611	261	31	that	that	SCONJ
ajst-29611	261	32	the	the	DET
ajst-29611	261	33	model	model	NOUN
ajst-29611	261	34	proposed	propose	VERB
ajst-29611	261	35	in	in	ADP
ajst-29611	261	36	this	this	DET
ajst-29611	261	37	paper	paper	NOUN
ajst-29611	261	38	improves	improve	VERB
ajst-29611	261	39	in	in	ADP
ajst-29611	261	40	various	various	ADJ
ajst-29611	261	41	evaluation	evaluation	NOUN
ajst-29611	261	42	metrics	metric	NOUN
ajst-29611	261	43	.	.	PUNCT
ajst-29611	262	1	compared	compare	VERB
ajst-29611	262	2	to	to	ADP
ajst-29611	262	3	lstm	lstm	PROPN
ajst-29611	262	4	,	,	PUNCT
ajst-29611	262	5	cnn	cnn	PROPN
ajst-29611	262	6	-	-	PUNCT
ajst-29611	262	7	lstm	lstm	NOUN
ajst-29611	262	8	reduces	reduce	VERB
ajst-29611	262	9	the	the	DET
ajst-29611	262	10	mae	mae	PROPN
ajst-29611	262	11	and	and	CCONJ
ajst-29611	262	12	rmse	rmse	PROPN
ajst-29611	262	13	by	by	ADP
ajst-29611	262	14	4.48	4.48	NUM
ajst-29611	262	15	%	%	NOUN
ajst-29611	262	16	and	and	CCONJ
ajst-29611	262	17	2.74	2.74	NUM
ajst-29611	262	18	%	%	NOUN
ajst-29611	262	19	,	,	PUNCT
ajst-29611	262	20	respectively	respectively	ADV
ajst-29611	262	21	.	.	PUNCT
ajst-29611	263	1	ssa	ssa	NOUN
ajst-29611	263	2	-	-	PUNCT
ajst-29611	263	3	svr	svr	PROPN
ajst-29611	263	4	reduces	reduce	VERB
ajst-29611	263	5	the	the	DET
ajst-29611	263	6	mae	mae	PROPN
ajst-29611	263	7	by	by	ADP
ajst-29611	263	8	12.5218	12.5218	NUM
ajst-29611	263	9	as	as	ADV
ajst-29611	263	10	well	well	ADV
ajst-29611	263	11	as	as	ADP
ajst-29611	263	12	the	the	DET
ajst-29611	263	13	rmse	rmse	NOUN
ajst-29611	263	14	by	by	ADP
ajst-29611	263	15	8.5819	8.5819	NUM
ajst-29611	263	16	compared	compare	VERB
ajst-29611	263	17	with	with	ADP
ajst-29611	263	18	svr	svr	PROPN
ajst-29611	263	19	,	,	PUNCT
ajst-29611	263	20	which	which	PRON
ajst-29611	263	21	suggests	suggest	VERB
ajst-29611	263	22	that	that	SCONJ
ajst-29611	263	23	prediction	prediction	NOUN
ajst-29611	263	24	with	with	ADP
ajst-29611	263	25	a	a	DET
ajst-29611	263	26	single	single	ADJ
ajst-29611	263	27	lstm	lstm	NOUN
ajst-29611	263	28	or	or	CCONJ
ajst-29611	263	29	svr	svr	PROPN
ajst-29611	263	30	only	only	ADV
ajst-29611	263	31	is	be	AUX
ajst-29611	263	32	susceptible	susceptible	ADJ
ajst-29611	263	33	to	to	ADP
ajst-29611	263	34	the	the	DET
ajst-29611	263	35	interference	interference	NOUN
ajst-29611	263	36	of	of	ADP
ajst-29611	263	37	the	the	DET
ajst-29611	263	38	intrinsic	intrinsic	ADJ
ajst-29611	263	39	characteristics	characteristic	NOUN
ajst-29611	263	40	of	of	ADP
ajst-29611	263	41	the	the	DET
ajst-29611	263	42	data	datum	NOUN
ajst-29611	263	43	,	,	PUNCT
ajst-29611	263	44	which	which	PRON
ajst-29611	263	45	affects	affect	VERB
ajst-29611	263	46	the	the	DET
ajst-29611	263	47	stability	stability	NOUN
ajst-29611	263	48	and	and	CCONJ
ajst-29611	263	49	accuracy	accuracy	NOUN
ajst-29611	263	50	of	of	ADP
ajst-29611	263	51	the	the	DET
ajst-29611	263	52	prediction	prediction	NOUN
ajst-29611	263	53	results	result	NOUN
ajst-29611	263	54	.	.	PUNCT
ajst-29611	264	1	as	as	SCONJ
ajst-29611	264	2	shown	show	VERB
ajst-29611	264	3	in	in	ADP
ajst-29611	264	4	table	table	NOUN
ajst-29611	264	5	4	4	NUM
ajst-29611	264	6	,	,	PUNCT
ajst-29611	264	7	it	it	PRON
ajst-29611	264	8	can	can	AUX
ajst-29611	264	9	be	be	AUX
ajst-29611	264	10	observed	observe	VERB
ajst-29611	264	11	that	that	SCONJ
ajst-29611	264	12	the	the	DET
ajst-29611	264	13	prediction	prediction	NOUN
ajst-29611	264	14	accuracy	accuracy	NOUN
ajst-29611	264	15	significantly	significantly	ADV
ajst-29611	264	16	improves	improve	VERB
ajst-29611	264	17	when	when	SCONJ
ajst-29611	264	18	the	the	DET
ajst-29611	264	19	production	production	NOUN
ajst-29611	264	20	data	data	NOUN
ajst-29611	264	21	is	be	AUX
ajst-29611	264	22	decomposed	decompose	VERB
ajst-29611	264	23	prior	prior	ADV
ajst-29611	264	24	to	to	ADP
ajst-29611	264	25	prediction	prediction	NOUN
ajst-29611	264	26	.	.	PUNCT
ajst-29611	265	1	compared	compare	VERB
ajst-29611	265	2	to	to	ADP
ajst-29611	265	3	cnn	cnn	PROPN
ajst-29611	265	4	-	-	PUNCT
ajst-29611	265	5	lstm	lstm	PROPN
ajst-29611	265	6	and	and	CCONJ
ajst-29611	265	7	ssa	ssa	NOUN
ajst-29611	265	8	-	-	PUNCT
ajst-29611	265	9	svr	svr	PROPN
ajst-29611	265	10	,	,	PUNCT
ajst-29611	265	11	the	the	DET
ajst-29611	265	12	prediction	prediction	NOUN
ajst-29611	265	13	performance	performance	NOUN
ajst-29611	265	14	of	of	ADP
ajst-29611	265	15	models	model	NOUN
ajst-29611	265	16	built	build	VERB
ajst-29611	265	17	after	after	ADP
ajst-29611	265	18	vmd	vmd	PROPN
ajst-29611	265	19	decomposition	decomposition	NOUN
ajst-29611	265	20	,	,	PUNCT
ajst-29611	265	21	such	such	ADJ
ajst-29611	265	22	as	as	ADP
ajst-29611	265	23	vmd	vmd	NOUN
ajst-29611	265	24	-	-	NOUN
ajst-29611	265	25	cl	cl	NOUN
ajst-29611	265	26	and	and	CCONJ
ajst-29611	265	27	vmd	vmd	PROPN
ajst-29611	265	28	-	-	PROPN
ajst-29611	265	29	ss	ss	PROPN
ajst-29611	265	30	,	,	PUNCT
ajst-29611	265	31	shows	show	VERB
ajst-29611	265	32	varying	vary	VERB
ajst-29611	265	33	degrees	degree	NOUN
ajst-29611	265	34	of	of	ADP
ajst-29611	265	35	improvement	improvement	NOUN
ajst-29611	265	36	.	.	PUNCT
ajst-29611	266	1	specifically	specifically	ADV
ajst-29611	266	2	,	,	PUNCT
ajst-29611	266	3	the	the	DET
ajst-29611	266	4	mae	mae	PROPN
ajst-29611	266	5	and	and	CCONJ
ajst-29611	266	6	rmse	rmse	PROPN
ajst-29611	266	7	of	of	ADP
ajst-29611	266	8	vmd	vmd	PROPN
ajst-29611	266	9	-	-	NOUN
ajst-29611	266	10	cl	cl	NOUN
ajst-29611	266	11	decreased	decrease	VERB
ajst-29611	266	12	by	by	ADP
ajst-29611	266	13	4.104	4.104	NUM
ajst-29611	266	14	and	and	CCONJ
ajst-29611	266	15	16.5001	16.5001	NUM
ajst-29611	266	16	,	,	PUNCT
ajst-29611	266	17	respectively	respectively	ADV
ajst-29611	266	18	,	,	PUNCT
ajst-29611	266	19	while	while	SCONJ
ajst-29611	266	20	the	the	DET
ajst-29611	266	21	r²	r²	NOUN
ajst-29611	266	22	increased	increase	VERB
ajst-29611	266	23	by	by	ADP
ajst-29611	266	24	approximately	approximately	ADV
ajst-29611	266	25	1.34	1.34	NUM
ajst-29611	266	26	%	%	NOUN
ajst-29611	266	27	.	.	PUNCT
ajst-29611	267	1	for	for	ADP
ajst-29611	267	2	vmd	vmd	PROPN
ajst-29611	267	3	-	-	PROPN
ajst-29611	267	4	ss	ss	PROPN
ajst-29611	267	5	,	,	PUNCT
ajst-29611	267	6	the	the	DET
ajst-29611	267	7	rmse	rmse	NOUN
ajst-29611	267	8	decreased	decrease	VERB
ajst-29611	267	9	by	by	ADP
ajst-29611	267	10	13.8175	13.8175	NUM
ajst-29611	267	11	,	,	PUNCT
ajst-29611	267	12	and	and	CCONJ
ajst-29611	267	13	the	the	DET
ajst-29611	267	14	r²	r²	NOUN
ajst-29611	267	15	improved	improve	VERB
ajst-29611	267	16	by	by	ADP
ajst-29611	267	17	around	around	ADV
ajst-29611	267	18	1.23	1.23	NUM
ajst-29611	267	19	%	%	NOUN
ajst-29611	267	20	,	,	PUNCT
ajst-29611	267	21	which	which	PRON
ajst-29611	267	22	strongly	strongly	ADV
ajst-29611	267	23	demonstrates	demonstrate	VERB
ajst-29611	267	24	the	the	DET
ajst-29611	267	25	importance	importance	NOUN
ajst-29611	267	26	of	of	ADP
ajst-29611	267	27	incorporating	incorporate	VERB
ajst-29611	267	28	decomposition	decomposition	NOUN
ajst-29611	267	29	techniques	technique	NOUN
ajst-29611	267	30	.	.	PUNCT
ajst-29611	268	1	furthermore	furthermore	ADV
ajst-29611	268	2	,	,	PUNCT
ajst-29611	268	3	to	to	PART
ajst-29611	268	4	highlight	highlight	VERB
ajst-29611	268	5	the	the	DET
ajst-29611	268	6	superiority	superiority	NOUN
ajst-29611	268	7	of	of	ADP
ajst-29611	268	8	the	the	DET
ajst-29611	268	9	vmd	vmd	PROPN
ajst-29611	268	10	decomposition	decomposition	NOUN
ajst-29611	268	11	method	method	NOUN
ajst-29611	268	12	,	,	PUNCT
ajst-29611	268	13	the	the	DET
ajst-29611	268	14	error	error	NOUN
ajst-29611	268	15	metrics	metric	NOUN
ajst-29611	268	16	of	of	ADP
ajst-29611	268	17	the	the	DET
ajst-29611	268	18	vmd	vmd	PROPN
ajst-29611	268	19	-	-	NOUN
ajst-29611	268	20	cl	cl	ADJ
ajst-29611	268	21	-	-	PUNCT
ajst-29611	268	22	ss	ss	NOUN
ajst-29611	268	23	model	model	NOUN
ajst-29611	268	24	were	be	AUX
ajst-29611	268	25	compared	compare	VERB
ajst-29611	268	26	with	with	ADP
ajst-29611	268	27	those	those	PRON
ajst-29611	268	28	of	of	ADP
ajst-29611	268	29	models	model	NOUN
ajst-29611	268	30	using	use	VERB
ajst-29611	268	31	emd	emd	PROPN
ajst-29611	268	32	-	-	PUNCT
ajst-29611	268	33	cl	cl	NOUN
ajst-29611	268	34	-	-	PUNCT
ajst-29611	268	35	ss	ss	NOUN
ajst-29611	268	36	and	and	CCONJ
ajst-29611	268	37	ceemdan	ceemdan	ADJ
ajst-29611	268	38	-	-	PUNCT
ajst-29611	268	39	cl	cl	NOUN
ajst-29611	268	40	-	-	PUNCT
ajst-29611	268	41	ss	ss	NOUN
ajst-29611	268	42	1600	1600	NUM
ajst-29611	268	43	1700	1700	NUM
ajst-29611	268	44	1800	1800	NUM
ajst-29611	268	45	1900	1900	NUM
ajst-29611	268	46	2000	2000	NUM
ajst-29611	268	47	100	100	NUM
ajst-29611	268	48	200	200	NUM
ajst-29611	268	49	300	300	NUM
ajst-29611	268	50	400	400	NUM
ajst-29611	268	51	500	500	NUM
ajst-29611	268	52	600	600	NUM
ajst-29611	268	53	700	700	NUM
ajst-29611	268	54	d	d	NOUN
ajst-29611	268	55	ai	ai	VERB
ajst-29611	268	56	ly	ly	ADP
ajst-29611	268	57	g	g	NOUN
ajst-29611	268	58	as	as	ADP
ajst-29611	268	59	p	p	X
ajst-29611	268	60	ro	ro	INTJ
ajst-29611	268	61	du	du	PROPN
ajst-29611	268	62	ct	ct	PROPN
ajst-29611	268	63	io	io	PROPN
ajst-29611	268	64	n	n	CCONJ
ajst-29611	268	65	(	(	PUNCT
ajst-29611	268	66	m	m	PROPN
ajst-29611	268	67	³	³	X
ajst-29611	268	68	)	)	PUNCT
ajst-29611	268	69	time(day	time(day	NOUN
ajst-29611	268	70	)	)	PUNCT
ajst-29611	268	71	(	(	PUNCT
ajst-29611	268	72	a	a	X
ajst-29611	268	73	)	)	PUNCT
ajst-29611	268	74	lstm	lstm	PROPN
ajst-29611	268	75	true	true	ADJ
ajst-29611	268	76	predicted	predict	VERB
ajst-29611	268	77	1600	1600	NUM
ajst-29611	268	78	1700	1700	NUM
ajst-29611	268	79	1800	1800	NUM
ajst-29611	268	80	1900	1900	NUM
ajst-29611	268	81	2000	2000	NUM
ajst-29611	268	82	0	0	NUM
ajst-29611	268	83	100	100	NUM
ajst-29611	268	84	200	200	NUM
ajst-29611	268	85	300	300	NUM
ajst-29611	268	86	400	400	NUM
ajst-29611	268	87	500	500	NUM
ajst-29611	268	88	600	600	NUM
ajst-29611	268	89	700	700	NUM
ajst-29611	268	90	d	d	NOUN
ajst-29611	268	91	ai	ai	VERB
ajst-29611	268	92	ly	ly	ADP
ajst-29611	268	93	g	g	NOUN
ajst-29611	268	94	as	as	ADP
ajst-29611	268	95	p	p	X
ajst-29611	268	96	ro	ro	INTJ
ajst-29611	268	97	du	du	PROPN
ajst-29611	268	98	ct	ct	PROPN
ajst-29611	268	99	io	io	PROPN
ajst-29611	268	100	n	n	CCONJ
ajst-29611	268	101	(	(	PUNCT
ajst-29611	268	102	m	m	PROPN
ajst-29611	268	103	³	³	X
ajst-29611	268	104	)	)	PUNCT
ajst-29611	268	105	time(day	time(day	NOUN
ajst-29611	268	106	)	)	PUNCT
ajst-29611	268	107	(	(	PUNCT
ajst-29611	268	108	b	b	X
ajst-29611	268	109	)	)	PUNCT
ajst-29611	268	110	svr	svr	PROPN
ajst-29611	268	111	true	true	ADJ
ajst-29611	268	112	predicted	predict	VERB
ajst-29611	268	113	1600	1600	NUM
ajst-29611	268	114	1700	1700	NUM
ajst-29611	268	115	1800	1800	NUM
ajst-29611	268	116	1900	1900	NUM
ajst-29611	268	117	2000	2000	NUM
ajst-29611	268	118	0	0	NUM
ajst-29611	268	119	100	100	NUM
ajst-29611	268	120	200	200	NUM
ajst-29611	268	121	300	300	NUM
ajst-29611	268	122	400	400	NUM
ajst-29611	268	123	500	500	NUM
ajst-29611	268	124	600	600	NUM
ajst-29611	268	125	700	700	NUM
ajst-29611	268	126	d	d	NOUN
ajst-29611	268	127	ai	ai	VERB
ajst-29611	268	128	ly	ly	ADP
ajst-29611	268	129	g	g	NOUN
ajst-29611	268	130	as	as	ADP
ajst-29611	268	131	p	p	X
ajst-29611	268	132	ro	ro	INTJ
ajst-29611	268	133	du	du	PROPN
ajst-29611	268	134	ct	ct	PROPN
ajst-29611	268	135	io	io	PROPN
ajst-29611	268	136	n	n	CCONJ
ajst-29611	268	137	(	(	PUNCT
ajst-29611	268	138	m	m	PROPN
ajst-29611	268	139	³	³	X
ajst-29611	268	140	)	)	PUNCT
ajst-29611	268	141	time(day	time(day	NOUN
ajst-29611	268	142	)	)	PUNCT
ajst-29611	268	143	(	(	PUNCT
ajst-29611	268	144	c	c	X
ajst-29611	268	145	)	)	PUNCT
ajst-29611	268	146	cnn	cnn	PROPN
ajst-29611	268	147	-	-	PUNCT
ajst-29611	268	148	lstm	lstm	ADJ
ajst-29611	268	149	true	true	ADJ
ajst-29611	268	150	predicted	predict	VERB
ajst-29611	268	151	1600	1600	NUM
ajst-29611	268	152	1700	1700	NUM
ajst-29611	268	153	1800	1800	NUM
ajst-29611	268	154	1900	1900	NUM
ajst-29611	268	155	2000	2000	NUM
ajst-29611	268	156	0	0	NUM
ajst-29611	268	157	100	100	NUM
ajst-29611	268	158	200	200	NUM
ajst-29611	268	159	300	300	NUM
ajst-29611	268	160	400	400	NUM
ajst-29611	268	161	500	500	NUM
ajst-29611	268	162	600	600	NUM
ajst-29611	268	163	700	700	NUM
ajst-29611	268	164	da	da	PROPN
ajst-29611	268	165	il	il	PROPN
ajst-29611	268	166	y	y	PROPN
ajst-29611	268	167	g	g	PROPN
ajst-29611	268	168	as	as	ADP
ajst-29611	268	169	p	p	X
ajst-29611	268	170	ro	ro	PROPN
ajst-29611	268	171	d	d	X
ajst-29611	268	172	uc	uc	INTJ
ajst-29611	268	173	ti	ti	PROPN
ajst-29611	268	174	on	on	ADP
ajst-29611	268	175	(	(	PUNCT
ajst-29611	268	176	m	m	NOUN
ajst-29611	268	177	³	³	X
ajst-29611	268	178	)	)	PUNCT
ajst-29611	268	179	time(day	time(day	NOUN
ajst-29611	268	180	)	)	PUNCT
ajst-29611	268	181	(	(	PUNCT
ajst-29611	268	182	d	d	X
ajst-29611	268	183	)	)	PUNCT
ajst-29611	268	184	ssa	ssa	NOUN
ajst-29611	268	185	-	-	PUNCT
ajst-29611	268	186	svr	svr	PROPN
ajst-29611	268	187	true	true	ADJ
ajst-29611	268	188	predicted	predict	VERB
ajst-29611	268	189	1600	1600	NUM
ajst-29611	268	190	1700	1700	NUM
ajst-29611	268	191	1800	1800	NUM
ajst-29611	268	192	1900	1900	NUM
ajst-29611	268	193	2000	2000	NUM
ajst-29611	268	194	0	0	NUM
ajst-29611	268	195	100	100	NUM
ajst-29611	268	196	200	200	NUM
ajst-29611	268	197	300	300	NUM
ajst-29611	268	198	400	400	NUM
ajst-29611	268	199	500	500	NUM
ajst-29611	268	200	600	600	NUM
ajst-29611	268	201	700	700	NUM
ajst-29611	268	202	da	da	PROPN
ajst-29611	268	203	il	il	PROPN
ajst-29611	268	204	y	y	PROPN
ajst-29611	268	205	ga	ga	PROPN
ajst-29611	268	206	s	s	VERB
ajst-29611	268	207	pr	pr	NOUN
ajst-29611	268	208	o	o	PROPN
ajst-29611	268	209	du	du	PROPN
ajst-29611	268	210	ct	ct	PROPN
ajst-29611	268	211	io	io	PROPN
ajst-29611	268	212	n	n	CCONJ
ajst-29611	268	213	(	(	PUNCT
ajst-29611	268	214	m³	m³	ADJ
ajst-29611	268	215	)	)	PUNCT
ajst-29611	268	216	time(day	time(day	NOUN
ajst-29611	268	217	)	)	PUNCT
ajst-29611	268	218	(	(	PUNCT
ajst-29611	268	219	e	e	X
ajst-29611	268	220	)	)	PUNCT
ajst-29611	268	221	vmd	vmd	PROPN
ajst-29611	268	222	-	-	PROPN
ajst-29611	268	223	cnn	cnn	PROPN
ajst-29611	268	224	-	-	PUNCT
ajst-29611	268	225	lstm	lstm	ADJ
ajst-29611	268	226	true	true	ADJ
ajst-29611	268	227	predicted	predict	VERB
ajst-29611	268	228	1600	1600	NUM
ajst-29611	268	229	1700	1700	NUM
ajst-29611	268	230	1800	1800	NUM
ajst-29611	268	231	1900	1900	NUM
ajst-29611	268	232	2000	2000	NUM
ajst-29611	268	233	0	0	NUM
ajst-29611	268	234	100	100	NUM
ajst-29611	268	235	200	200	NUM
ajst-29611	268	236	300	300	NUM
ajst-29611	268	237	400	400	NUM
ajst-29611	268	238	500	500	NUM
ajst-29611	268	239	600	600	NUM
ajst-29611	268	240	700	700	NUM
ajst-29611	268	241	da	da	NOUN
ajst-29611	269	1	i	i	PRON
ajst-29611	269	2	ly	ly	VERB
ajst-29611	269	3	ga	ga	PROPN
ajst-29611	270	1	s	s	VERB
ajst-29611	270	2	pr	pr	NOUN
ajst-29611	270	3	o	o	PROPN
ajst-29611	270	4	du	du	X
ajst-29611	270	5	c	c	NOUN
ajst-29611	270	6	ti	ti	NOUN
ajst-29611	270	7	o	o	NOUN
ajst-29611	270	8	n	n	CCONJ
ajst-29611	270	9	(	(	PUNCT
ajst-29611	270	10	m	m	PROPN
ajst-29611	270	11	³	³	X
ajst-29611	270	12	)	)	PUNCT
ajst-29611	270	13	time(day	time(day	NOUN
ajst-29611	270	14	)	)	PUNCT
ajst-29611	270	15	(	(	PUNCT
ajst-29611	270	16	f	f	X
ajst-29611	270	17	)	)	PUNCT
ajst-29611	270	18	vmd	vmd	PROPN
ajst-29611	270	19	-	-	ADJ
ajst-29611	270	20	ssa	ssa	NOUN
ajst-29611	270	21	-	-	PUNCT
ajst-29611	270	22	svr	svr	NOUN
ajst-29611	270	23	true	true	ADJ
ajst-29611	270	24	predicted	predict	VERB
ajst-29611	270	25	1600	1600	NUM
ajst-29611	270	26	1700	1700	NUM
ajst-29611	270	27	1800	1800	NUM
ajst-29611	270	28	1900	1900	NUM
ajst-29611	270	29	2000	2000	NUM
ajst-29611	270	30	0	0	NUM
ajst-29611	270	31	100	100	NUM
ajst-29611	270	32	200	200	NUM
ajst-29611	270	33	300	300	NUM
ajst-29611	270	34	400	400	NUM
ajst-29611	270	35	500	500	NUM
ajst-29611	270	36	600	600	NUM
ajst-29611	270	37	700	700	NUM
ajst-29611	270	38	da	da	NOUN
ajst-29611	271	1	i	i	PRON
ajst-29611	271	2	ly	ly	VERB
ajst-29611	271	3	g	g	NOUN
ajst-29611	271	4	as	as	ADP
ajst-29611	271	5	p	p	NOUN
ajst-29611	271	6	r	r	NOUN
ajst-29611	271	7	od	od	INTJ
ajst-29611	271	8	uc	uc	INTJ
ajst-29611	271	9	ti	ti	PROPN
ajst-29611	271	10	on	on	ADP
ajst-29611	271	11	(	(	PUNCT
ajst-29611	271	12	m	m	NOUN
ajst-29611	271	13	³	³	X
ajst-29611	271	14	)	)	PUNCT
ajst-29611	271	15	time(day	time(day	NOUN
ajst-29611	271	16	)	)	PUNCT
ajst-29611	271	17	(	(	PUNCT
ajst-29611	271	18	g	g	NOUN
ajst-29611	271	19	)	)	PUNCT
ajst-29611	271	20	emd	emd	PROPN
ajst-29611	271	21	-	-	PUNCT
ajst-29611	271	22	cnn	cnn	PROPN
ajst-29611	271	23	-	-	PUNCT
ajst-29611	271	24	lstm	lstm	ADJ
ajst-29611	271	25	-	-	PUNCT
ajst-29611	271	26	ssa	ssa	NOUN
ajst-29611	271	27	-	-	PUNCT
ajst-29611	271	28	svr	svr	NOUN
ajst-29611	271	29	true	true	ADJ
ajst-29611	271	30	predicted	predict	VERB
ajst-29611	271	31	1600	1600	NUM
ajst-29611	271	32	1700	1700	NUM
ajst-29611	271	33	1800	1800	NUM
ajst-29611	271	34	1900	1900	NUM
ajst-29611	271	35	2000	2000	NUM
ajst-29611	271	36	0	0	NUM
ajst-29611	271	37	100	100	NUM
ajst-29611	271	38	200	200	NUM
ajst-29611	271	39	300	300	NUM
ajst-29611	271	40	400	400	NUM
ajst-29611	271	41	500	500	NUM
ajst-29611	271	42	600	600	NUM
ajst-29611	271	43	700	700	NUM
ajst-29611	271	44	da	da	NOUN
ajst-29611	272	1	i	i	PRON
ajst-29611	272	2	ly	ly	VERB
ajst-29611	272	3	ga	ga	PROPN
ajst-29611	273	1	s	s	VERB
ajst-29611	273	2	pr	pr	NOUN
ajst-29611	273	3	o	o	PROPN
ajst-29611	273	4	du	du	X
ajst-29611	273	5	c	c	NOUN
ajst-29611	273	6	ti	ti	NOUN
ajst-29611	273	7	o	o	NOUN
ajst-29611	273	8	n	n	CCONJ
ajst-29611	273	9	(	(	PUNCT
ajst-29611	273	10	m	m	PROPN
ajst-29611	273	11	³	³	X
ajst-29611	273	12	)	)	PUNCT
ajst-29611	273	13	time(day	time(day	NOUN
ajst-29611	273	14	)	)	PUNCT
ajst-29611	273	15	(	(	PUNCT
ajst-29611	273	16	h	h	NOUN
ajst-29611	273	17	)	)	PUNCT
ajst-29611	273	18	ceemdan	ceemdan	PROPN
ajst-29611	273	19	-	-	PUNCT
ajst-29611	273	20	cnn	cnn	PROPN
ajst-29611	273	21	-	-	PUNCT
ajst-29611	273	22	lstm	lstm	ADJ
ajst-29611	273	23	-	-	PUNCT
ajst-29611	273	24	ssa	ssa	NOUN
ajst-29611	273	25	-	-	PUNCT
ajst-29611	273	26	svr	svr	NOUN
ajst-29611	273	27	true	true	ADJ
ajst-29611	273	28	predicted	predict	VERB
ajst-29611	273	29	1600	1600	NUM
ajst-29611	273	30	1700	1700	NUM
ajst-29611	273	31	1800	1800	NUM
ajst-29611	273	32	1900	1900	NUM
ajst-29611	273	33	2000	2000	NUM
ajst-29611	273	34	0	0	NUM
ajst-29611	273	35	100	100	NUM
ajst-29611	273	36	200	200	NUM
ajst-29611	273	37	300	300	NUM
ajst-29611	273	38	400	400	NUM
ajst-29611	273	39	500	500	NUM
ajst-29611	273	40	600	600	NUM
ajst-29611	273	41	700	700	NUM
ajst-29611	273	42	d	d	NOUN
ajst-29611	273	43	ai	ai	VERB
ajst-29611	273	44	ly	ly	ADP
ajst-29611	273	45	g	g	NOUN
ajst-29611	273	46	as	as	ADP
ajst-29611	273	47	p	p	X
ajst-29611	273	48	ro	ro	INTJ
ajst-29611	273	49	du	du	PROPN
ajst-29611	273	50	ct	ct	PROPN
ajst-29611	273	51	io	io	PROPN
ajst-29611	273	52	n	n	CCONJ
ajst-29611	273	53	(	(	PUNCT
ajst-29611	273	54	m	m	PROPN
ajst-29611	273	55	³	³	X
ajst-29611	273	56	)	)	PUNCT
ajst-29611	273	57	time(day	time(day	NOUN
ajst-29611	273	58	)	)	PUNCT
ajst-29611	274	1	（	（	PUNCT
ajst-29611	275	1	i	i	PRON
ajst-29611	275	2	）	）	PUNCT
ajst-29611	275	3	vmd	vmd	PROPN
ajst-29611	275	4	-	-	PROPN
ajst-29611	275	5	cnn	cnn	PROPN
ajst-29611	275	6	-	-	PUNCT
ajst-29611	275	7	lstm	lstm	ADJ
ajst-29611	275	8	-	-	PUNCT
ajst-29611	275	9	ssa	ssa	NOUN
ajst-29611	275	10	-	-	PUNCT
ajst-29611	275	11	svr	svr	NOUN
ajst-29611	275	12	true	true	ADJ
ajst-29611	275	13	predicted	predict	VERB
ajst-29611	275	14	212	212	NUM
ajst-29611	275	15	decompositions	decomposition	NOUN
ajst-29611	275	16	.	.	PUNCT
ajst-29611	276	1	the	the	DET
ajst-29611	276	2	mae	mae	PROPN
ajst-29611	276	3	and	and	CCONJ
ajst-29611	276	4	rmse	rmse	NOUN
ajst-29611	276	5	of	of	ADP
ajst-29611	276	6	the	the	DET
ajst-29611	276	7	vmd	vmd	PROPN
ajst-29611	276	8	-	-	NOUN
ajst-29611	276	9	cl	cl	ADJ
ajst-29611	276	10	-	-	PUNCT
ajst-29611	276	11	ss	ss	NOUN
ajst-29611	276	12	model	model	NOUN
ajst-29611	276	13	were	be	AUX
ajst-29611	276	14	reduced	reduce	VERB
ajst-29611	276	15	by	by	ADP
ajst-29611	276	16	6.7367	6.7367	NUM
ajst-29611	276	17	and	and	CCONJ
ajst-29611	276	18	21.3739	21.3739	NUM
ajst-29611	276	19	,	,	PUNCT
ajst-29611	276	20	respectively	respectively	ADV
ajst-29611	276	21	,	,	PUNCT
ajst-29611	276	22	as	as	ADV
ajst-29611	276	23	well	well	ADV
ajst-29611	276	24	as	as	ADP
ajst-29611	276	25	5.8712	5.8712	NUM
ajst-29611	276	26	and	and	CCONJ
ajst-29611	276	27	10.3818	10.3818	NUM
ajst-29611	276	28	,	,	PUNCT
ajst-29611	276	29	indicating	indicate	VERB
ajst-29611	276	30	that	that	SCONJ
ajst-29611	276	31	vmd	vmd	PROPN
ajst-29611	276	32	is	be	AUX
ajst-29611	276	33	more	more	ADV
ajst-29611	276	34	effective	effective	ADJ
ajst-29611	276	35	in	in	ADP
ajst-29611	276	36	signal	signal	ADJ
ajst-29611	276	37	decomposition	decomposition	NOUN
ajst-29611	276	38	and	and	CCONJ
ajst-29611	276	39	better	well	ADJ
ajst-29611	276	40	at	at	ADP
ajst-29611	276	41	extracting	extract	VERB
ajst-29611	276	42	frequency	frequency	NOUN
ajst-29611	276	43	components	component	NOUN
ajst-29611	276	44	that	that	PRON
ajst-29611	276	45	aid	aid	VERB
ajst-29611	276	46	in	in	ADP
ajst-29611	276	47	prediction	prediction	NOUN
ajst-29611	276	48	.	.	PUNCT
ajst-29611	277	1	in	in	ADP
ajst-29611	277	2	conclusion	conclusion	NOUN
ajst-29611	277	3	,	,	PUNCT
ajst-29611	277	4	the	the	DET
ajst-29611	277	5	proposed	propose	VERB
ajst-29611	277	6	method	method	NOUN
ajst-29611	277	7	in	in	ADP
ajst-29611	277	8	this	this	DET
ajst-29611	277	9	study	study	NOUN
ajst-29611	277	10	demonstrates	demonstrate	VERB
ajst-29611	277	11	better	well	ADJ
ajst-29611	277	12	alignment	alignment	NOUN
ajst-29611	277	13	with	with	ADP
ajst-29611	277	14	the	the	DET
ajst-29611	277	15	real	real	ADJ
ajst-29611	277	16	values	value	NOUN
ajst-29611	277	17	and	and	CCONJ
ajst-29611	277	18	higher	high	ADJ
ajst-29611	277	19	accuracy	accuracy	NOUN
ajst-29611	277	20	,	,	PUNCT
ajst-29611	277	21	whether	whether	SCONJ
ajst-29611	277	22	applied	apply	VERB
ajst-29611	277	23	to	to	ADP
ajst-29611	277	24	single	single	ADJ
ajst-29611	277	25	models	model	NOUN
ajst-29611	277	26	,	,	PUNCT
ajst-29611	277	27	combined	combined	ADJ
ajst-29611	277	28	models	model	NOUN
ajst-29611	277	29	,	,	PUNCT
ajst-29611	277	30	or	or	CCONJ
ajst-29611	277	31	various	various	ADJ
ajst-29611	277	32	decomposition	decomposition	NOUN
ajst-29611	277	33	techniques	technique	NOUN
ajst-29611	277	34	.	.	PUNCT
ajst-29611	278	1	figure	figure	NOUN
ajst-29611	278	2	10	10	NUM
ajst-29611	278	3	shows	show	VERB
ajst-29611	278	4	the	the	DET
ajst-29611	278	5	distribution	distribution	NOUN
ajst-29611	278	6	of	of	ADP
ajst-29611	278	7	the	the	DET
ajst-29611	278	8	absolute	absolute	ADJ
ajst-29611	278	9	prediction	prediction	NOUN
ajst-29611	278	10	errors	error	NOUN
ajst-29611	278	11	for	for	ADP
ajst-29611	278	12	our	our	PRON
ajst-29611	278	13	method	method	NOUN
ajst-29611	278	14	compared	compare	VERB
ajst-29611	278	15	to	to	ADP
ajst-29611	278	16	other	other	ADJ
ajst-29611	278	17	methods	method	NOUN
ajst-29611	278	18	.	.	PUNCT
ajst-29611	279	1	as	as	SCONJ
ajst-29611	279	2	can	can	AUX
ajst-29611	279	3	be	be	AUX
ajst-29611	279	4	seen	see	VERB
ajst-29611	279	5	from	from	ADP
ajst-29611	279	6	figure	figure	NOUN
ajst-29611	279	7	10	10	NUM
ajst-29611	279	8	,	,	PUNCT
ajst-29611	279	9	the	the	DET
ajst-29611	279	10	hybrid	hybrid	NOUN
ajst-29611	279	11	model	model	NOUN
ajst-29611	279	12	exhibits	exhibit	VERB
ajst-29611	279	13	smaller	small	ADJ
ajst-29611	279	14	error	error	NOUN
ajst-29611	279	15	values	value	NOUN
ajst-29611	279	16	compared	compare	VERB
ajst-29611	279	17	to	to	ADP
ajst-29611	279	18	the	the	DET
ajst-29611	279	19	single	single	ADJ
ajst-29611	279	20	models	model	NOUN
ajst-29611	279	21	.	.	PUNCT
ajst-29611	280	1	specifically	specifically	ADV
ajst-29611	280	2	,	,	PUNCT
ajst-29611	280	3	the	the	DET
ajst-29611	280	4	proposed	propose	VERB
ajst-29611	280	5	method	method	NOUN
ajst-29611	280	6	demonstrates	demonstrate	VERB
ajst-29611	280	7	the	the	DET
ajst-29611	280	8	smallest	small	ADJ
ajst-29611	280	9	absolute	absolute	ADJ
ajst-29611	280	10	error	error	NOUN
ajst-29611	280	11	values	value	NOUN
ajst-29611	280	12	across	across	ADP
ajst-29611	280	13	various	various	ADJ
ajst-29611	280	14	model	model	NOUN
ajst-29611	280	15	combinations	combination	NOUN
ajst-29611	280	16	and	and	CCONJ
ajst-29611	280	17	decomposition	decomposition	NOUN
ajst-29611	280	18	methods	method	NOUN
ajst-29611	280	19	,	,	PUNCT
ajst-29611	280	20	with	with	ADP
ajst-29611	280	21	a	a	DET
ajst-29611	280	22	more	more	ADV
ajst-29611	280	23	concentrated	concentrated	ADJ
ajst-29611	280	24	distribution	distribution	NOUN
ajst-29611	280	25	.	.	PUNCT
ajst-29611	281	1	this	this	PRON
ajst-29611	281	2	further	far	ADV
ajst-29611	281	3	emphasizes	emphasize	VERB
ajst-29611	281	4	the	the	DET
ajst-29611	281	5	superior	superior	ADJ
ajst-29611	281	6	predictive	predictive	ADJ
ajst-29611	281	7	accuracy	accuracy	NOUN
ajst-29611	281	8	of	of	ADP
ajst-29611	281	9	the	the	DET
ajst-29611	281	10	proposed	propose	VERB
ajst-29611	281	11	approach	approach	NOUN
ajst-29611	281	12	.	.	PUNCT
ajst-29611	282	1	figure	figure	NOUN
ajst-29611	282	2	10	10	NUM
ajst-29611	282	3	.	.	PUNCT
ajst-29611	283	1	box	box	NOUN
ajst-29611	283	2	-	-	PUNCT
ajst-29611	283	3	plots	plot	NOUN
ajst-29611	283	4	of	of	ADP
ajst-29611	283	5	absolute	absolute	ADJ
ajst-29611	283	6	forecasting	forecasting	NOUN
ajst-29611	283	7	error	error	NOUN
ajst-29611	283	8	for	for	ADP
ajst-29611	283	9	each	each	DET
ajst-29611	283	10	model	model	NOUN
ajst-29611	283	11	4.6	4.6	NUM
ajst-29611	283	12	.	.	PUNCT
ajst-29611	284	1	other	other	ADJ
ajst-29611	284	2	experimental	experimental	ADJ
ajst-29611	284	3	analyses	analysis	NOUN
ajst-29611	284	4	to	to	PART
ajst-29611	284	5	further	far	ADV
ajst-29611	284	6	validate	validate	VERB
ajst-29611	284	7	the	the	DET
ajst-29611	284	8	accuracy	accuracy	NOUN
ajst-29611	284	9	and	and	CCONJ
ajst-29611	284	10	generalization	generalization	NOUN
ajst-29611	284	11	ability	ability	NOUN
ajst-29611	284	12	of	of	ADP
ajst-29611	284	13	the	the	DET
ajst-29611	284	14	proposed	propose	VERB
ajst-29611	284	15	method	method	NOUN
ajst-29611	284	16	,	,	PUNCT
ajst-29611	284	17	we	we	PRON
ajst-29611	284	18	conducted	conduct	VERB
ajst-29611	284	19	experiments	experiment	NOUN
ajst-29611	284	20	using	use	VERB
ajst-29611	284	21	actual	actual	ADJ
ajst-29611	284	22	gas	gas	NOUN
ajst-29611	284	23	production	production	NOUN
ajst-29611	284	24	data	datum	NOUN
ajst-29611	284	25	from	from	ADP
ajst-29611	284	26	different	different	ADJ
ajst-29611	284	27	wells	well	NOUN
ajst-29611	284	28	within	within	ADP
ajst-29611	284	29	the	the	DET
ajst-29611	284	30	study	study	NOUN
ajst-29611	284	31	area	area	NOUN
ajst-29611	284	32	,	,	PUNCT
ajst-29611	284	33	covering	cover	VERB
ajst-29611	284	34	various	various	ADJ
ajst-29611	284	35	time	time	NOUN
ajst-29611	284	36	periods	period	NOUN
ajst-29611	284	37	.	.	PUNCT
ajst-29611	285	1	specifically	specifically	ADV
ajst-29611	285	2	,	,	PUNCT
ajst-29611	285	3	data	datum	NOUN
ajst-29611	285	4	from	from	ADP
ajst-29611	285	5	well	well	ADV
ajst-29611	285	6	no	no	INTJ
ajst-29611	285	7	.	.	NOUN
ajst-29611	285	8	300	300	NUM
ajst-29611	285	9	,	,	PUNCT
ajst-29611	285	10	spanning	span	VERB
ajst-29611	285	11	from	from	ADP
ajst-29611	285	12	september	september	PROPN
ajst-29611	285	13	2017	2017	NUM
ajst-29611	285	14	to	to	ADP
ajst-29611	285	15	november	november	PROPN
ajst-29611	285	16	2021	2021	NUM
ajst-29611	285	17	,	,	PUNCT
ajst-29611	285	18	was	be	AUX
ajst-29611	285	19	selected	select	VERB
ajst-29611	285	20	for	for	ADP
ajst-29611	285	21	this	this	DET
ajst-29611	285	22	purpose	purpose	NOUN
ajst-29611	285	23	.	.	PUNCT
ajst-29611	286	1	in	in	ADP
ajst-29611	286	2	each	each	DET
ajst-29611	286	3	case	case	NOUN
ajst-29611	286	4	,	,	PUNCT
ajst-29611	286	5	80	80	NUM
ajst-29611	286	6	%	%	NOUN
ajst-29611	286	7	of	of	ADP
ajst-29611	286	8	the	the	DET
ajst-29611	286	9	data	datum	NOUN
ajst-29611	286	10	was	be	AUX
ajst-29611	286	11	used	use	VERB
ajst-29611	286	12	for	for	ADP
ajst-29611	286	13	training	training	NOUN
ajst-29611	286	14	,	,	PUNCT
ajst-29611	286	15	while	while	SCONJ
ajst-29611	286	16	the	the	DET
ajst-29611	286	17	remaining	remain	VERB
ajst-29611	286	18	20	20	NUM
ajst-29611	286	19	%	%	NOUN
ajst-29611	286	20	served	serve	VERB
ajst-29611	286	21	as	as	ADP
ajst-29611	286	22	the	the	DET
ajst-29611	286	23	test	test	NOUN
ajst-29611	286	24	set	set	NOUN
ajst-29611	286	25	.	.	PUNCT
ajst-29611	287	1	the	the	DET
ajst-29611	287	2	original	original	ADJ
ajst-29611	287	3	production	production	NOUN
ajst-29611	287	4	data	datum	NOUN
ajst-29611	287	5	for	for	ADP
ajst-29611	287	6	each	each	DET
ajst-29611	287	7	well	well	ADV
ajst-29611	287	8	,	,	PUNCT
ajst-29611	287	9	along	along	ADP
ajst-29611	287	10	with	with	ADP
ajst-29611	287	11	the	the	DET
ajst-29611	287	12	prediction	prediction	NOUN
ajst-29611	287	13	results	result	NOUN
ajst-29611	287	14	generated	generate	VERB
ajst-29611	287	15	by	by	ADP
ajst-29611	287	16	the	the	DET
ajst-29611	287	17	various	various	ADJ
ajst-29611	287	18	models	model	NOUN
ajst-29611	287	19	,	,	PUNCT
ajst-29611	287	20	are	be	AUX
ajst-29611	287	21	presented	present	VERB
ajst-29611	287	22	in	in	ADP
ajst-29611	287	23	figure	figure	NOUN
ajst-29611	287	24	11	11	NUM
ajst-29611	287	25	.	.	PUNCT
ajst-29611	288	1	the	the	DET
ajst-29611	288	2	corresponding	correspond	VERB
ajst-29611	288	3	error	error	NOUN
ajst-29611	288	4	metrics	metric	NOUN
ajst-29611	288	5	are	be	AUX
ajst-29611	288	6	summarized	summarize	VERB
ajst-29611	288	7	in	in	ADP
ajst-29611	288	8	table	table	NOUN
ajst-29611	288	9	8	8	NUM
ajst-29611	288	10	.	.	PUNCT
ajst-29611	289	1	figure	figure	NOUN
ajst-29611	289	2	11	11	NUM
ajst-29611	289	3	.	.	PUNCT
ajst-29611	290	1	data	datum	NOUN
ajst-29611	290	2	of	of	ADP
ajst-29611	290	3	no.300	no.300	PROPN
ajst-29611	290	4	table	table	NOUN
ajst-29611	290	5	8	8	NUM
ajst-29611	290	6	.	.	PUNCT
ajst-29611	290	7	error	error	NOUN
ajst-29611	290	8	index	index	NOUN
ajst-29611	290	9	values	value	NOUN
ajst-29611	290	10	of	of	ADP
ajst-29611	290	11	each	each	DET
ajst-29611	290	12	mode	mode	NOUN
ajst-29611	290	13	dataset	dataset	NOUN
ajst-29611	290	14	model	model	PROPN
ajst-29611	290	15	mae	mae	PROPN
ajst-29611	290	16	rmse	rmse	PROPN
ajst-29611	290	17	r²	r²	PROPN
ajst-29611	290	18	no.300	no.300	PROPN
ajst-29611	290	19	emd	emd	PROPN
ajst-29611	290	20	-	-	PUNCT
ajst-29611	290	21	cl	cl	NOUN
ajst-29611	290	22	-	-	PUNCT
ajst-29611	290	23	ss	ss	NOUN
ajst-29611	290	24	13.1546	13.1546	NUM
ajst-29611	290	25	31.8002	31.8002	NUM
ajst-29611	290	26	0.9900	0.9900	NUM
ajst-29611	290	27	ceemdan	ceemdan	ADJ
ajst-29611	290	28	-	-	PUNCT
ajst-29611	290	29	cl	cl	NOUN
ajst-29611	290	30	-	-	PUNCT
ajst-29611	290	31	ss	ss	NOUN
ajst-29611	290	32	7.7721	7.7721	NUM
ajst-29611	290	33	19.3873	19.3873	NUM
ajst-29611	290	34	0.9963	0.9963	NUM
ajst-29611	290	35	proposed	propose	VERB
ajst-29611	290	36	3.7967	3.7967	NUM
ajst-29611	290	37	6.6265	6.6265	NUM
ajst-29611	290	38	0.9995	0.9995	NUM
ajst-29611	290	39	l	l	NOUN
ajst-29611	290	40	st	st	PROPN
ajst-29611	291	1	m	m	PROPN
ajst-29611	291	2	s	s	PROPN
ajst-29611	291	3	v	v	NUM
ajst-29611	291	4	r	r	NOUN
ajst-29611	291	5	c	c	NOUN
ajst-29611	291	6	n	n	CCONJ
ajst-29611	291	7	n	n	PROPN
ajst-29611	291	8	-l	-l	PROPN
ajst-29611	291	9	st	st	PROPN
ajst-29611	292	1	m	m	PROPN
ajst-29611	292	2	s	s	PROPN
ajst-29611	292	3	s	s	X
ajst-29611	292	4	a	a	PRON
ajst-29611	292	5	-s	-s	NUM
ajst-29611	292	6	v	v	NOUN
ajst-29611	292	7	r	r	NOUN
ajst-29611	292	8	v	v	NOUN
ajst-29611	292	9	m	m	NOUN
ajst-29611	292	10	d	d	NOUN
ajst-29611	292	11	-c	-c	PROPN
ajst-29611	292	12	l	l	NOUN
ajst-29611	292	13	v	v	NOUN
ajst-29611	292	14	m	m	NOUN
ajst-29611	292	15	d	d	NOUN
ajst-29611	292	16	-s	-s	PROPN
ajst-29611	292	17	s	s	X
ajst-29611	292	18	e	e	NOUN
ajst-29611	292	19	m	m	NOUN
ajst-29611	292	20	d	d	X
ajst-29611	292	21	-c	-c	X
ajst-29611	292	22	l	l	NOUN
ajst-29611	292	23	-s	-s	X
ajst-29611	292	24	s	s	X
ajst-29611	292	25	c	c	NOUN
ajst-29611	292	26	e	e	X
ajst-29611	292	27	e	e	X
ajst-29611	292	28	m	m	PROPN
ajst-29611	292	29	d	d	X
ajst-29611	292	30	a	a	DET
ajst-29611	292	31	n	n	NOUN
ajst-29611	292	32	-c	-c	PUNCT
ajst-29611	292	33	l	l	NOUN
ajst-29611	293	1	-s	-s	PROPN
ajst-29611	293	2	s	s	X
ajst-29611	293	3	p	p	X
ajst-29611	293	4	ro	ro	X
ajst-29611	293	5	po	po	X
ajst-29611	293	6	se	se	PROPN
ajst-29611	294	1	d	d	X
ajst-29611	294	2	0	0	NUM
ajst-29611	294	3	50	50	NUM
ajst-29611	294	4	100	100	NUM
ajst-29611	294	5	150	150	NUM
ajst-29611	294	6	200	200	NUM
ajst-29611	294	7	250	250	NUM
ajst-29611	294	8	a	a	DET
ajst-29611	294	9	bs	bs	NOUN
ajst-29611	294	10	ol	ol	PROPN
ajst-29611	294	11	ut	ut	PROPN
ajst-29611	294	12	e	e	PROPN
ajst-29611	294	13	p	p	X
ajst-29611	294	14	re	re	ADP
ajst-29611	294	15	di	di	X
ajst-29611	294	16	ct	ct	PROPN
ajst-29611	294	17	io	io	PROPN
ajst-29611	294	18	n	n	PROPN
ajst-29611	294	19	e	e	X
ajst-29611	294	20	rr	rr	NOUN
ajst-29611	294	21	or	or	CCONJ
ajst-29611	294	22	s	s	PRON
ajst-29611	294	23	0	0	NUM
ajst-29611	294	24	300	300	NUM
ajst-29611	295	1	600	600	NUM
ajst-29611	295	2	900	900	NUM
ajst-29611	295	3	1200	1200	NUM
ajst-29611	295	4	1500	1500	NUM
ajst-29611	295	5	1800	1800	NUM
ajst-29611	295	6	0	0	NUM
ajst-29611	295	7	200	200	NUM
ajst-29611	295	8	400	400	NUM
ajst-29611	295	9	600	600	NUM
ajst-29611	295	10	800	800	NUM
ajst-29611	295	11	1000	1000	NUM
ajst-29611	295	12	d	d	NOUN
ajst-29611	295	13	ai	ai	VERB
ajst-29611	295	14	ly	ly	ADP
ajst-29611	295	15	g	g	NOUN
ajst-29611	295	16	as	as	ADP
ajst-29611	295	17	p	p	X
ajst-29611	295	18	ro	ro	INTJ
ajst-29611	295	19	du	du	PROPN
ajst-29611	295	20	ct	ct	PROPN
ajst-29611	295	21	io	io	PROPN
ajst-29611	295	22	n	n	CCONJ
ajst-29611	295	23	(	(	PUNCT
ajst-29611	295	24	m	m	PROPN
ajst-29611	295	25	³	³	X
ajst-29611	295	26	)	)	PUNCT
ajst-29611	295	27	time(day	time(day	NOUN
ajst-29611	295	28	)	)	PUNCT
ajst-29611	296	1	(	(	PUNCT
ajst-29611	296	2	b	b	X
ajst-29611	296	3	)	)	PUNCT
ajst-29611	296	4	well	well	INTJ
ajst-29611	296	5	no.300	no.300	PROPN
ajst-29611	296	6	test	test	NOUN
ajst-29611	296	7	data:20	data:20	PROPN
ajst-29611	296	8	%	%	NOUN
ajst-29611	296	9	train	train	NOUN
ajst-29611	296	10	data:80	data:80	NOUN
ajst-29611	296	11	%	%	NOUN
ajst-29611	296	12	0	0	NUM
ajst-29611	296	13	100	100	NUM
ajst-29611	296	14	200	200	NUM
ajst-29611	296	15	300	300	NUM
ajst-29611	296	16	400	400	NUM
ajst-29611	296	17	500	500	NUM
ajst-29611	296	18	0	0	NUM
ajst-29611	296	19	100	100	NUM
ajst-29611	296	20	200	200	NUM
ajst-29611	296	21	300	300	NUM
ajst-29611	296	22	400	400	NUM
ajst-29611	296	23	500	500	NUM
ajst-29611	296	24	100	100	NUM
ajst-29611	296	25	150	150	NUM
ajst-29611	296	26	200	200	NUM
ajst-29611	296	27	250	250	NUM
ajst-29611	296	28	300	300	NUM
ajst-29611	296	29	350	350	NUM
ajst-29611	296	30	100	100	NUM
ajst-29611	296	31	150	150	NUM
ajst-29611	296	32	200	200	NUM
ajst-29611	296	33	250	250	NUM
ajst-29611	296	34	300	300	NUM
ajst-29611	296	35	350	350	NUM
ajst-29611	296	36	0	0	NUM
ajst-29611	296	37	100	100	NUM
ajst-29611	296	38	200	200	NUM
ajst-29611	296	39	300	300	NUM
ajst-29611	296	40	400	400	NUM
ajst-29611	296	41	0	0	NUM
ajst-29611	296	42	200	200	NUM
ajst-29611	296	43	400	400	NUM
ajst-29611	296	44	600	600	NUM
ajst-29611	296	45	800	800	NUM
ajst-29611	296	46	1000	1000	NUM
ajst-29611	296	47	d	d	NOUN
ajst-29611	296	48	ai	ai	VERB
ajst-29611	296	49	ly	ly	ADP
ajst-29611	296	50	g	g	NOUN
ajst-29611	296	51	as	as	ADP
ajst-29611	296	52	p	p	X
ajst-29611	296	53	ro	ro	INTJ
ajst-29611	296	54	du	du	PROPN
ajst-29611	296	55	ct	ct	PROPN
ajst-29611	296	56	io	io	PROPN
ajst-29611	296	57	n	n	CCONJ
ajst-29611	296	58	(	(	PUNCT
ajst-29611	296	59	m	m	PROPN
ajst-29611	296	60	³	³	X
ajst-29611	296	61	)	)	PUNCT
ajst-29611	296	62	time(day	time(day	NOUN
ajst-29611	296	63	)	)	PUNCT
ajst-29611	297	1	(	(	PUNCT
ajst-29611	297	2	b	b	X
ajst-29611	297	3	)	)	PUNCT
ajst-29611	297	4	well	well	INTJ
ajst-29611	297	5	no.300	no.300	PRON
ajst-29611	297	6	true	true	ADJ
ajst-29611	297	7	value	value	NOUN
ajst-29611	297	8	emd	emd	PROPN
ajst-29611	297	9	-	-	PUNCT
ajst-29611	297	10	cl	cl	NOUN
ajst-29611	297	11	-	-	PUNCT
ajst-29611	297	12	ss	ss	NOUN
ajst-29611	297	13	ceemdan	ceemdan	ADJ
ajst-29611	297	14	-	-	PUNCT
ajst-29611	297	15	cl	cl	NOUN
ajst-29611	297	16	-	-	PUNCT
ajst-29611	297	17	ss	ss	NOUN
ajst-29611	297	18	proposed	propose	VERB
ajst-29611	297	19	213	213	NUM
ajst-29611	297	20	5	5	NUM
ajst-29611	297	21	.	.	PUNCT
ajst-29611	298	1	conclusions	conclusion	NOUN
ajst-29611	298	2	the	the	DET
ajst-29611	298	3	vmd	vmd	PROPN
ajst-29611	298	4	-	-	PUNCT
ajst-29611	298	5	based	base	VERB
ajst-29611	298	6	hybrid	hybrid	ADJ
ajst-29611	298	7	forecasting	forecasting	NOUN
ajst-29611	298	8	model	model	NOUN
ajst-29611	298	9	demonstrates	demonstrate	VERB
ajst-29611	298	10	a	a	DET
ajst-29611	298	11	high	high	ADJ
ajst-29611	298	12	degree	degree	NOUN
ajst-29611	298	13	of	of	ADP
ajst-29611	298	14	accuracy	accuracy	NOUN
ajst-29611	298	15	in	in	ADP
ajst-29611	298	16	predicting	predict	VERB
ajst-29611	298	17	the	the	DET
ajst-29611	298	18	daily	daily	ADJ
ajst-29611	298	19	gas	gas	NOUN
ajst-29611	298	20	production	production	NOUN
ajst-29611	298	21	of	of	ADP
ajst-29611	298	22	coalbed	coalbe	VERB
ajst-29611	298	23	methane	methane	NOUN
ajst-29611	298	24	wells	well	NOUN
ajst-29611	298	25	.	.	PUNCT
ajst-29611	299	1	through	through	ADP
ajst-29611	299	2	both	both	CCONJ
ajst-29611	299	3	theoretical	theoretical	ADJ
ajst-29611	299	4	analysis	analysis	NOUN
ajst-29611	299	5	and	and	CCONJ
ajst-29611	299	6	empirical	empirical	ADJ
ajst-29611	299	7	validation	validation	NOUN
ajst-29611	299	8	,	,	PUNCT
ajst-29611	299	9	the	the	DET
ajst-29611	299	10	following	follow	VERB
ajst-29611	299	11	conclusions	conclusion	NOUN
ajst-29611	299	12	have	have	AUX
ajst-29611	299	13	been	be	AUX
ajst-29611	299	14	derived	derive	VERB
ajst-29611	299	15	:	:	PUNCT
ajst-29611	299	16	1	1	X
ajst-29611	299	17	)	)	PUNCT
ajst-29611	299	18	by	by	ADP
ajst-29611	299	19	applying	apply	VERB
ajst-29611	299	20	variational	variational	ADJ
ajst-29611	299	21	mode	mode	NOUN
ajst-29611	299	22	decomposition	decomposition	NOUN
ajst-29611	299	23	(	(	PUNCT
ajst-29611	299	24	vmd	vmd	NOUN
ajst-29611	299	25	)	)	PUNCT
ajst-29611	299	26	to	to	ADP
ajst-29611	299	27	the	the	DET
ajst-29611	299	28	original	original	ADJ
ajst-29611	299	29	gas	gas	NOUN
ajst-29611	299	30	production	production	NOUN
ajst-29611	299	31	data	datum	NOUN
ajst-29611	299	32	,	,	PUNCT
ajst-29611	299	33	it	it	PRON
ajst-29611	299	34	is	be	AUX
ajst-29611	299	35	decomposed	decompose	VERB
ajst-29611	299	36	into	into	ADP
ajst-29611	299	37	multiple	multiple	ADJ
ajst-29611	299	38	intrinsic	intrinsic	ADJ
ajst-29611	299	39	mode	mode	NOUN
ajst-29611	299	40	functions	function	NOUN
ajst-29611	299	41	(	(	PUNCT
ajst-29611	299	42	imfs	imfs	NOUN
ajst-29611	299	43	)	)	PUNCT
ajst-29611	299	44	,	,	PUNCT
ajst-29611	299	45	effectively	effectively	ADV
ajst-29611	299	46	reducing	reduce	VERB
ajst-29611	299	47	the	the	DET
ajst-29611	299	48	inherent	inherent	ADJ
ajst-29611	299	49	instability	instability	NOUN
ajst-29611	299	50	of	of	ADP
ajst-29611	299	51	the	the	DET
ajst-29611	299	52	data	datum	NOUN
ajst-29611	299	53	.	.	PUNCT
ajst-29611	300	1	each	each	DET
ajst-29611	300	2	imf	imf	PROPN
ajst-29611	300	3	exhibits	exhibit	VERB
ajst-29611	300	4	corresponding	corresponding	ADJ
ajst-29611	300	5	frequency	frequency	NOUN
ajst-29611	300	6	and	and	CCONJ
ajst-29611	300	7	amplitude	amplitude	NOUN
ajst-29611	300	8	characteristics	characteristic	NOUN
ajst-29611	300	9	,	,	PUNCT
ajst-29611	300	10	which	which	PRON
ajst-29611	300	11	aids	aid	VERB
ajst-29611	300	12	in	in	ADP
ajst-29611	300	13	extracting	extract	VERB
ajst-29611	300	14	latent	latent	NOUN
ajst-29611	300	15	information	information	NOUN
ajst-29611	300	16	from	from	ADP
ajst-29611	300	17	the	the	DET
ajst-29611	300	18	original	original	ADJ
ajst-29611	300	19	data	datum	NOUN
ajst-29611	300	20	,	,	PUNCT
ajst-29611	300	21	thereby	thereby	ADV
ajst-29611	300	22	enhancing	enhance	VERB
ajst-29611	300	23	the	the	DET
ajst-29611	300	24	quality	quality	NOUN
ajst-29611	300	25	of	of	ADP
ajst-29611	300	26	input	input	NOUN
ajst-29611	300	27	data	datum	NOUN
ajst-29611	300	28	for	for	ADP
ajst-29611	300	29	subsequent	subsequent	ADJ
ajst-29611	300	30	models	model	NOUN
ajst-29611	300	31	.	.	PUNCT
ajst-29611	301	1	2	2	X
ajst-29611	301	2	)	)	PUNCT
ajst-29611	301	3	the	the	DET
ajst-29611	301	4	integration	integration	NOUN
ajst-29611	301	5	of	of	ADP
ajst-29611	301	6	the	the	DET
ajst-29611	301	7	permutation	permutation	NOUN
ajst-29611	301	8	entropy	entropy	NOUN
ajst-29611	301	9	algorithm	algorithm	PROPN
ajst-29611	301	10	enables	enable	VERB
ajst-29611	301	11	the	the	DET
ajst-29611	301	12	classification	classification	NOUN
ajst-29611	301	13	of	of	ADP
ajst-29611	301	14	modal	modal	ADJ
ajst-29611	301	15	components	component	NOUN
ajst-29611	301	16	according	accord	VERB
ajst-29611	301	17	to	to	ADP
ajst-29611	301	18	their	their	PRON
ajst-29611	301	19	permutation	permutation	NOUN
ajst-29611	301	20	entropy	entropy	NOUN
ajst-29611	301	21	values	value	NOUN
ajst-29611	301	22	,	,	PUNCT
ajst-29611	301	23	thereby	thereby	ADV
ajst-29611	301	24	streamlining	streamline	VERB
ajst-29611	301	25	the	the	DET
ajst-29611	301	26	training	training	NOUN
ajst-29611	301	27	of	of	ADP
ajst-29611	301	28	various	various	ADJ
ajst-29611	301	29	models	model	NOUN
ajst-29611	301	30	in	in	ADP
ajst-29611	301	31	subsequent	subsequent	ADJ
ajst-29611	301	32	phases	phase	NOUN
ajst-29611	301	33	.	.	PUNCT
ajst-29611	302	1	3	3	X
ajst-29611	302	2	)	)	PUNCT
ajst-29611	302	3	imfs	imfs	NOUN
ajst-29611	302	4	classified	classify	VERB
ajst-29611	302	5	by	by	ADP
ajst-29611	302	6	permutation	permutation	NOUN
ajst-29611	302	7	entropy	entropy	NOUN
ajst-29611	302	8	values	value	NOUN
ajst-29611	302	9	are	be	AUX
ajst-29611	302	10	separated	separate	VERB
ajst-29611	302	11	into	into	ADP
ajst-29611	302	12	high	high	ADJ
ajst-29611	302	13	-	-	PUNCT
ajst-29611	302	14	frequency	frequency	NOUN
ajst-29611	302	15	and	and	CCONJ
ajst-29611	302	16	mid	mid	NOUN
ajst-29611	302	17	-	-	ADJ
ajst-29611	302	18	to	to	ADP
ajst-29611	302	19	-	-	PUNCT
ajst-29611	302	20	low	low	ADJ
ajst-29611	302	21	frequency	frequency	NOUN
ajst-29611	302	22	components	component	NOUN
ajst-29611	302	23	.	.	PUNCT
ajst-29611	303	1	the	the	DET
ajst-29611	303	2	high	high	ADJ
ajst-29611	303	3	-	-	PUNCT
ajst-29611	303	4	frequency	frequency	NOUN
ajst-29611	303	5	components	component	NOUN
ajst-29611	303	6	typically	typically	ADV
ajst-29611	303	7	capture	capture	VERB
ajst-29611	303	8	detailed	detailed	ADJ
ajst-29611	303	9	information	information	NOUN
ajst-29611	303	10	and	and	CCONJ
ajst-29611	303	11	rapid	rapid	ADJ
ajst-29611	303	12	variations	variation	NOUN
ajst-29611	303	13	,	,	PUNCT
ajst-29611	303	14	while	while	SCONJ
ajst-29611	303	15	the	the	DET
ajst-29611	303	16	mid	mid	NOUN
ajst-29611	303	17	-	-	PUNCT
ajst-29611	303	18	to	to	ADP
ajst-29611	303	19	-	-	PUNCT
ajst-29611	303	20	low	low	ADJ
ajst-29611	303	21	frequency	frequency	NOUN
ajst-29611	303	22	components	component	NOUN
ajst-29611	303	23	represent	represent	VERB
ajst-29611	303	24	trends	trend	NOUN
ajst-29611	303	25	and	and	CCONJ
ajst-29611	303	26	slow	slow	ADJ
ajst-29611	303	27	changes	change	NOUN
ajst-29611	303	28	in	in	ADP
ajst-29611	303	29	the	the	DET
ajst-29611	303	30	signal	signal	NOUN
ajst-29611	303	31	.	.	PUNCT
ajst-29611	304	1	predictive	predictive	ADJ
ajst-29611	304	2	modeling	modeling	NOUN
ajst-29611	304	3	is	be	AUX
ajst-29611	304	4	then	then	ADV
ajst-29611	304	5	performed	perform	VERB
ajst-29611	304	6	using	use	VERB
ajst-29611	304	7	a	a	DET
ajst-29611	304	8	combination	combination	NOUN
ajst-29611	304	9	of	of	ADP
ajst-29611	304	10	cnn	cnn	PROPN
ajst-29611	304	11	-	-	PUNCT
ajst-29611	304	12	lstm	lstm	PROPN
ajst-29611	304	13	and	and	CCONJ
ajst-29611	304	14	ssa	ssa	NOUN
ajst-29611	304	15	-	-	PUNCT
ajst-29611	304	16	svr	svr	PROPN
ajst-29611	304	17	time	time	NOUN
ajst-29611	304	18	series	series	PROPN
ajst-29611	304	19	models	model	NOUN
ajst-29611	304	20	,	,	PUNCT
ajst-29611	304	21	which	which	PRON
ajst-29611	304	22	aids	aid	VERB
ajst-29611	304	23	in	in	ADP
ajst-29611	304	24	more	more	ADV
ajst-29611	304	25	accurately	accurately	ADV
ajst-29611	304	26	capturing	capture	VERB
ajst-29611	304	27	the	the	DET
ajst-29611	304	28	data	datum	NOUN
ajst-29611	304	29	's	's	PART
ajst-29611	304	30	underlying	underlie	VERB
ajst-29611	304	31	characteristics	characteristic	NOUN
ajst-29611	304	32	,	,	PUNCT
ajst-29611	304	33	enhancing	enhance	VERB
ajst-29611	304	34	model	model	NOUN
ajst-29611	304	35	flexibility	flexibility	NOUN
ajst-29611	304	36	,	,	PUNCT
ajst-29611	304	37	and	and	CCONJ
ajst-29611	304	38	improving	improve	VERB
ajst-29611	304	39	prediction	prediction	NOUN
ajst-29611	304	40	accuracy	accuracy	NOUN
ajst-29611	304	41	.	.	PUNCT
ajst-29611	305	1	4	4	X
ajst-29611	305	2	)	)	PUNCT
ajst-29611	305	3	the	the	DET
ajst-29611	305	4	prediction	prediction	NOUN
ajst-29611	305	5	results	result	NOUN
ajst-29611	305	6	indicate	indicate	VERB
ajst-29611	305	7	that	that	SCONJ
ajst-29611	305	8	the	the	DET
ajst-29611	305	9	proposed	propose	VERB
ajst-29611	305	10	algorithm	algorithm	NOUN
ajst-29611	305	11	outperforms	outperform	VERB
ajst-29611	305	12	other	other	ADJ
ajst-29611	305	13	commonly	commonly	ADV
ajst-29611	305	14	used	use	VERB
ajst-29611	305	15	forecasting	forecasting	NOUN
ajst-29611	305	16	methods	method	NOUN
ajst-29611	305	17	in	in	ADP
ajst-29611	305	18	terms	term	NOUN
ajst-29611	305	19	of	of	ADP
ajst-29611	305	20	various	various	ADJ
ajst-29611	305	21	evaluation	evaluation	NOUN
ajst-29611	305	22	metrics	metric	NOUN
ajst-29611	305	23	.	.	PUNCT
ajst-29611	306	1	it	it	PRON
ajst-29611	306	2	exhibits	exhibit	VERB
ajst-29611	306	3	superior	superior	ADJ
ajst-29611	306	4	accuracy	accuracy	NOUN
ajst-29611	306	5	in	in	ADP
ajst-29611	306	6	forecasting	forecasting	NOUN
ajst-29611	306	7	variations	variation	NOUN
ajst-29611	306	8	in	in	ADP
ajst-29611	306	9	coalbed	coalbe	VERB
ajst-29611	306	10	methane	methane	NOUN
ajst-29611	306	11	well	well	NOUN
ajst-29611	306	12	gas	gas	NOUN
ajst-29611	306	13	production	production	NOUN
ajst-29611	306	14	and	and	CCONJ
ajst-29611	306	15	shows	show	VERB
ajst-29611	306	16	robust	robust	ADJ
ajst-29611	306	17	generalizability	generalizability	NOUN
ajst-29611	306	18	,	,	PUNCT
ajst-29611	306	19	providing	provide	VERB
ajst-29611	306	20	a	a	DET
ajst-29611	306	21	novel	novel	ADJ
ajst-29611	306	22	model	model	NOUN
ajst-29611	306	23	framework	framework	NOUN
ajst-29611	306	24	for	for	ADP
ajst-29611	306	25	coalbed	coalbe	VERB
ajst-29611	306	26	methane	methane	NOUN
ajst-29611	306	27	production	production	NOUN
ajst-29611	306	28	forecasting	forecasting	NOUN
ajst-29611	306	29	.	.	PUNCT
ajst-29611	307	1	although	although	SCONJ
ajst-29611	307	2	the	the	DET
ajst-29611	307	3	proposed	propose	VERB
ajst-29611	307	4	method	method	NOUN
ajst-29611	307	5	demonstrates	demonstrate	VERB
ajst-29611	307	6	strong	strong	ADJ
ajst-29611	307	7	performance	performance	NOUN
ajst-29611	307	8	in	in	ADP
ajst-29611	307	9	this	this	DET
ajst-29611	307	10	case	case	NOUN
ajst-29611	307	11	study	study	NOUN
ajst-29611	307	12	,	,	PUNCT
ajst-29611	307	13	the	the	DET
ajst-29611	307	14	dataset	dataset	NOUN
ajst-29611	307	15	is	be	AUX
ajst-29611	307	16	limited	limit	VERB
ajst-29611	307	17	to	to	PART
ajst-29611	307	18	coalbed	coalbe	VERB
ajst-29611	307	19	methane	methane	NOUN
ajst-29611	307	20	production	production	NOUN
ajst-29611	307	21	data	datum	NOUN
ajst-29611	307	22	from	from	ADP
ajst-29611	307	23	a	a	DET
ajst-29611	307	24	specific	specific	ADJ
ajst-29611	307	25	region	region	NOUN
ajst-29611	307	26	and	and	CCONJ
ajst-29611	307	27	a	a	DET
ajst-29611	307	28	subset	subset	NOUN
ajst-29611	307	29	of	of	ADP
ajst-29611	307	30	wells	well	NOUN
ajst-29611	307	31	over	over	ADP
ajst-29611	307	32	a	a	DET
ajst-29611	307	33	particular	particular	ADJ
ajst-29611	307	34	time	time	NOUN
ajst-29611	307	35	period	period	NOUN
ajst-29611	307	36	,	,	PUNCT
ajst-29611	307	37	which	which	PRON
ajst-29611	307	38	introduces	introduce	VERB
ajst-29611	307	39	inherent	inherent	ADJ
ajst-29611	307	40	regional	regional	ADJ
ajst-29611	307	41	and	and	CCONJ
ajst-29611	307	42	temporal	temporal	ADJ
ajst-29611	307	43	constraints	constraint	NOUN
ajst-29611	307	44	.	.	PUNCT
ajst-29611	308	1	the	the	DET
ajst-29611	308	2	method	method	NOUN
ajst-29611	308	3	is	be	AUX
ajst-29611	308	4	particularly	particularly	ADV
ajst-29611	308	5	effective	effective	ADJ
ajst-29611	308	6	for	for	ADP
ajst-29611	308	7	datasets	dataset	NOUN
ajst-29611	308	8	characterized	characterize	VERB
ajst-29611	308	9	by	by	ADP
ajst-29611	308	10	significant	significant	ADJ
ajst-29611	308	11	nonlinearity	nonlinearity	NOUN
ajst-29611	308	12	and	and	CCONJ
ajst-29611	308	13	seasonality	seasonality	NOUN
ajst-29611	308	14	,	,	PUNCT
ajst-29611	308	15	and	and	CCONJ
ajst-29611	308	16	it	it	PRON
ajst-29611	308	17	performs	perform	VERB
ajst-29611	308	18	well	well	ADV
ajst-29611	308	19	in	in	ADP
ajst-29611	308	20	predicting	predict	VERB
ajst-29611	308	21	relatively	relatively	ADV
ajst-29611	308	22	regular	regular	ADJ
ajst-29611	308	23	production	production	NOUN
ajst-29611	308	24	patterns	pattern	NOUN
ajst-29611	308	25	.	.	PUNCT
ajst-29611	309	1	however	however	ADV
ajst-29611	309	2	,	,	PUNCT
ajst-29611	309	3	in	in	ADP
ajst-29611	309	4	the	the	DET
ajst-29611	309	5	presence	presence	NOUN
ajst-29611	309	6	of	of	ADP
ajst-29611	309	7	extreme	extreme	ADJ
ajst-29611	309	8	climatic	climatic	ADJ
ajst-29611	309	9	events	event	NOUN
ajst-29611	309	10	or	or	CCONJ
ajst-29611	309	11	irregular	irregular	ADJ
ajst-29611	309	12	fluctuations	fluctuation	NOUN
ajst-29611	309	13	,	,	PUNCT
ajst-29611	309	14	the	the	DET
ajst-29611	309	15	model	model	NOUN
ajst-29611	309	16	's	's	PART
ajst-29611	309	17	robustness	robustness	NOUN
ajst-29611	309	18	and	and	CCONJ
ajst-29611	309	19	prediction	prediction	NOUN
ajst-29611	309	20	accuracy	accuracy	NOUN
ajst-29611	309	21	may	may	AUX
ajst-29611	309	22	be	be	AUX
ajst-29611	309	23	impacted	impact	VERB
ajst-29611	309	24	.	.	PUNCT
ajst-29611	310	1	to	to	PART
ajst-29611	310	2	address	address	VERB
ajst-29611	310	3	these	these	DET
ajst-29611	310	4	limitations	limitation	NOUN
ajst-29611	310	5	,	,	PUNCT
ajst-29611	310	6	future	future	ADJ
ajst-29611	310	7	research	research	NOUN
ajst-29611	310	8	will	will	AUX
ajst-29611	310	9	focus	focus	VERB
ajst-29611	310	10	on	on	ADP
ajst-29611	310	11	expanding	expand	VERB
ajst-29611	310	12	the	the	DET
ajst-29611	310	13	dataset	dataset	NOUN
ajst-29611	310	14	to	to	PART
ajst-29611	310	15	include	include	VERB
ajst-29611	310	16	data	datum	NOUN
ajst-29611	310	17	from	from	ADP
ajst-29611	310	18	a	a	DET
ajst-29611	310	19	wider	wide	ADJ
ajst-29611	310	20	range	range	NOUN
ajst-29611	310	21	of	of	ADP
ajst-29611	310	22	regions	region	NOUN
ajst-29611	310	23	and	and	CCONJ
ajst-29611	310	24	time	time	NOUN
ajst-29611	310	25	periods	period	NOUN
ajst-29611	310	26	,	,	PUNCT
ajst-29611	310	27	thereby	thereby	ADV
ajst-29611	310	28	enhancing	enhance	VERB
ajst-29611	310	29	the	the	DET
ajst-29611	310	30	generalizability	generalizability	NOUN
ajst-29611	310	31	of	of	ADP
ajst-29611	310	32	the	the	DET
ajst-29611	310	33	method	method	NOUN
ajst-29611	310	34	.	.	PUNCT
ajst-29611	311	1	additionally	additionally	ADV
ajst-29611	311	2	,	,	PUNCT
ajst-29611	311	3	further	further	ADJ
ajst-29611	311	4	work	work	NOUN
ajst-29611	311	5	will	will	AUX
ajst-29611	311	6	investigate	investigate	VERB
ajst-29611	311	7	the	the	DET
ajst-29611	311	8	optimization	optimization	NOUN
ajst-29611	311	9	of	of	ADP
ajst-29611	311	10	the	the	DET
ajst-29611	311	11	algorithm	algorithm	NOUN
ajst-29611	311	12	,	,	PUNCT
ajst-29611	311	13	with	with	ADP
ajst-29611	311	14	particular	particular	ADJ
ajst-29611	311	15	attention	attention	NOUN
ajst-29611	311	16	to	to	ADP
ajst-29611	311	17	fine	fine	ADV
ajst-29611	311	18	-	-	PUNCT
ajst-29611	311	19	tuning	tune	VERB
ajst-29611	311	20	model	model	NOUN
ajst-29611	311	21	parameters	parameter	NOUN
ajst-29611	311	22	to	to	PART
ajst-29611	311	23	improve	improve	VERB
ajst-29611	311	24	its	its	PRON
ajst-29611	311	25	adaptability	adaptability	NOUN
ajst-29611	311	26	in	in	ADP
ajst-29611	311	27	more	more	ADV
ajst-29611	311	28	complex	complex	ADJ
ajst-29611	311	29	and	and	CCONJ
ajst-29611	311	30	variable	variable	ADJ
ajst-29611	311	31	environments	environment	NOUN
ajst-29611	311	32	.	.	PUNCT
ajst-29611	312	1	this	this	PRON
ajst-29611	312	2	will	will	AUX
ajst-29611	312	3	help	help	VERB
ajst-29611	312	4	increase	increase	VERB
ajst-29611	312	5	the	the	DET
ajst-29611	312	6	model	model	NOUN
ajst-29611	312	7	's	's	PART
ajst-29611	312	8	stability	stability	NOUN
ajst-29611	312	9	and	and	CCONJ
ajst-29611	312	10	prediction	prediction	NOUN
ajst-29611	312	11	accuracy	accuracy	NOUN
ajst-29611	312	12	,	,	PUNCT
ajst-29611	312	13	particularly	particularly	ADV
ajst-29611	312	14	in	in	ADP
ajst-29611	312	15	situations	situation	NOUN
ajst-29611	312	16	characterized	characterize	VERB
ajst-29611	312	17	by	by	ADP
ajst-29611	312	18	high	high	ADJ
ajst-29611	312	19	noise	noise	NOUN
ajst-29611	312	20	levels	level	NOUN
ajst-29611	312	21	or	or	CCONJ
ajst-29611	312	22	irregular	irregular	ADJ
ajst-29611	312	23	production	production	NOUN
ajst-29611	312	24	patterns	pattern	NOUN
ajst-29611	312	25	.	.	PUNCT
ajst-29611	313	1	through	through	ADP
ajst-29611	313	2	these	these	DET
ajst-29611	313	3	improvements	improvement	NOUN
ajst-29611	313	4	,	,	PUNCT
ajst-29611	313	5	we	we	PRON
ajst-29611	313	6	aim	aim	VERB
ajst-29611	313	7	to	to	PART
ajst-29611	313	8	increase	increase	VERB
ajst-29611	313	9	the	the	DET
ajst-29611	313	10	practical	practical	ADJ
ajst-29611	313	11	applicability	applicability	NOUN
ajst-29611	313	12	of	of	ADP
ajst-29611	313	13	the	the	DET
ajst-29611	313	14	proposed	propose	VERB
ajst-29611	313	15	method	method	NOUN
ajst-29611	313	16	and	and	CCONJ
ajst-29611	313	17	broaden	broaden	VERB
ajst-29611	313	18	its	its	PRON
ajst-29611	313	19	potential	potential	ADJ
ajst-29611	313	20	applications	application	NOUN
ajst-29611	313	21	in	in	ADP
ajst-29611	313	22	various	various	ADJ
ajst-29611	313	23	fields	field	NOUN
ajst-29611	313	24	.	.	PUNCT
ajst-29611	314	1	references	reference	NOUN
ajst-29611	314	2	[	[	X
ajst-29611	314	3	1	1	X
ajst-29611	314	4	]	]	X
ajst-29611	314	5	y.	y.	PROPN
ajst-29611	314	6	d.	d.	PROPN
ajst-29611	314	7	t.	t.	PROPN
ajst-29611	314	8	s.	s.	PROPN
ajst-29611	314	9	c.	c.	PROPN
ajst-29611	314	10	ming	ming	PROPN
ajst-29611	314	11	and	and	CCONJ
ajst-29611	314	12	r.	r.	PROPN
ajst-29611	314	13	p.	p.	PROPN
ajst-29611	314	14	shida	shida	PROPN
ajst-29611	314	15	,	,	PUNCT
ajst-29611	314	16	‘	'	PUNCT
ajst-29611	314	17	study	study	NOUN
ajst-29611	314	18	on	on	ADP
ajst-29611	314	19	productivity	productivity	NOUN
ajst-29611	314	20	prediction	prediction	NOUN
ajst-29611	314	21	model	model	NOUN
ajst-29611	314	22	of	of	ADP
ajst-29611	314	23	horizontal	horizontal	ADJ
ajst-29611	314	24	coalbed	coalbe	VERB
ajst-29611	314	25	methane	methane	NOUN
ajst-29611	314	26	well	well	ADV
ajst-29611	314	27	and	and	CCONJ
ajst-29611	314	28	its	its	PRON
ajst-29611	314	29	applicability	applicability	NOUN
ajst-29611	314	30	’	'	PUNCT
ajst-29611	314	31	,	,	PUNCT
ajst-29611	314	32	coal	coal	NOUN
ajst-29611	314	33	science	science	NOUN
ajst-29611	314	34	and	and	CCONJ
ajst-29611	314	35	technology	technology	NOUN
ajst-29611	314	36	,	,	PUNCT
ajst-29611	314	37	no	no	INTJ
ajst-29611	314	38	.	.	PROPN
ajst-29611	314	39	12	12	NUM
ajst-29611	314	40	,	,	PUNCT
ajst-29611	314	41	2016	2016	NUM
ajst-29611	314	42	,	,	PUNCT
ajst-29611	314	43	accessed	access	VERB
ajst-29611	314	44	:	:	PUNCT
ajst-29611	314	45	nov	nov	PROPN
ajst-29611	314	46	.	.	PROPN
ajst-29611	314	47	27	27	NUM
ajst-29611	314	48	,	,	PUNCT
ajst-29611	314	49	2024	2024	NUM
ajst-29611	314	50	.	.	PUNCT
ajst-29611	315	1	[	[	X
ajst-29611	315	2	online	online	X
ajst-29611	315	3	]	]	X
ajst-29611	315	4	.	.	PUNCT
ajst-29611	316	1	available	available	ADJ
ajst-29611	316	2	:	:	PUNCT
ajst-29611	317	1	https://www.mtkxjs.com.cn/en/article/id/6fda586e-9d2f-4891b75b-59784e529747	https://www.mtkxjs.com.cn/en/article/id/6fda586e-9d2f-4891b75b-59784e529747	X
ajst-29611	318	1	[	[	X
ajst-29611	318	2	2	2	X
ajst-29611	318	3	]	]	PUNCT
ajst-29611	318	4	t.	t.	PROPN
ajst-29611	318	5	xia	xia	PROPN
ajst-29611	318	6	,	,	PUNCT
ajst-29611	318	7	f.	f.	PROPN
ajst-29611	318	8	gao	gao	PROPN
ajst-29611	318	9	,	,	PUNCT
ajst-29611	318	10	j.	j.	PROPN
ajst-29611	318	11	kang	kang	PROPN
ajst-29611	318	12	,	,	PUNCT
ajst-29611	318	13	and	and	CCONJ
ajst-29611	318	14	x.	x.	PROPN
ajst-29611	318	15	wang	wang	PROPN
ajst-29611	318	16	,	,	PUNCT
ajst-29611	318	17	‘	'	PUNCT
ajst-29611	318	18	a	a	DET
ajst-29611	318	19	fully	fully	ADV
ajst-29611	318	20	coupling	couple	VERB
ajst-29611	318	21	coal	coal	NOUN
ajst-29611	318	22	–	–	PUNCT
ajst-29611	318	23	gas	gas	NOUN
ajst-29611	318	24	model	model	NOUN
ajst-29611	318	25	associated	associate	VERB
ajst-29611	318	26	with	with	ADP
ajst-29611	318	27	inertia	inertia	NOUN
ajst-29611	318	28	and	and	CCONJ
ajst-29611	318	29	slip	slip	NOUN
ajst-29611	318	30	effects	effect	NOUN
ajst-29611	318	31	for	for	ADP
ajst-29611	318	32	cbm	cbm	PROPN
ajst-29611	318	33	migration	migration	NOUN
ajst-29611	318	34	’	'	PUNCT
ajst-29611	318	35	,	,	PUNCT
ajst-29611	318	36	environ	environ	X
ajst-29611	318	37	earth	earth	PROPN
ajst-29611	318	38	sci	sci	PROPN
ajst-29611	318	39	,	,	PUNCT
ajst-29611	318	40	vol	vol	NOUN
ajst-29611	318	41	.	.	PROPN
ajst-29611	319	1	75	75	NUM
ajst-29611	319	2	,	,	PUNCT
ajst-29611	319	3	no	no	INTJ
ajst-29611	319	4	.	.	NOUN
ajst-29611	319	5	7	7	NUM
ajst-29611	319	6	,	,	PUNCT
ajst-29611	319	7	p.	p.	NOUN
ajst-29611	319	8	582	582	NUM
ajst-29611	319	9	,	,	PUNCT
ajst-29611	319	10	apr	apr	PROPN
ajst-29611	319	11	.	.	PROPN
ajst-29611	319	12	2016	2016	NUM
ajst-29611	319	13	,	,	PUNCT
ajst-29611	319	14	doi	doi	NOUN
ajst-29611	319	15	:	:	PUNCT
ajst-29611	320	1	10.1007	10.1007	NUM
ajst-29611	320	2	/	/	SYM
ajst-29611	320	3	s12665	s12665	NOUN
ajst-29611	320	4	-	-	PUNCT
ajst-29611	320	5	016	016	NUM
ajst-29611	320	6	-	-	PUNCT
ajst-29611	320	7	5378	5378	NUM
ajst-29611	320	8	-	-	PUNCT
ajst-29611	320	9	y.	y.	NOUN
ajst-29611	321	1	[	[	X
ajst-29611	321	2	3	3	X
ajst-29611	321	3	]	]	X
ajst-29611	321	4	c.	c.	PROPN
ajst-29611	321	5	r.	r.	PROPN
ajst-29611	321	6	clarkson	clarkson	PROPN
ajst-29611	321	7	and	and	CCONJ
ajst-29611	321	8	f.	f.	PROPN
ajst-29611	321	9	qanbari	qanbari	PROPN
ajst-29611	321	10	,	,	PUNCT
ajst-29611	321	11	‘	'	PUNCT
ajst-29611	321	12	a	a	DET
ajst-29611	321	13	semi	semi	ADJ
ajst-29611	321	14	-	-	ADJ
ajst-29611	321	15	analytical	analytical	ADJ
ajst-29611	321	16	method	method	NOUN
ajst-29611	321	17	for	for	ADP
ajst-29611	321	18	forecasting	forecast	VERB
ajst-29611	321	19	wells	well	NOUN
ajst-29611	321	20	completed	complete	VERB
ajst-29611	321	21	in	in	ADP
ajst-29611	321	22	low	low	ADJ
ajst-29611	321	23	permeability	permeability	NOUN
ajst-29611	321	24	,	,	PUNCT
ajst-29611	321	25	undersaturated	undersaturated	ADJ
ajst-29611	321	26	cbm	cbm	PROPN
ajst-29611	321	27	reservoirs	reservoir	NOUN
ajst-29611	321	28	’	'	PUNCT
ajst-29611	321	29	,	,	PUNCT
ajst-29611	321	30	in	in	ADP
ajst-29611	321	31	spe	spe	PROPN
ajst-29611	321	32	asia	asia	PROPN
ajst-29611	321	33	pacific	pacific	PROPN
ajst-29611	321	34	unconventional	unconventional	ADJ
ajst-29611	321	35	resources	resource	NOUN
ajst-29611	321	36	conference	conference	NOUN
ajst-29611	321	37	and	and	CCONJ
ajst-29611	321	38	exhibition	exhibition	NOUN
ajst-29611	321	39	,	,	PUNCT
ajst-29611	321	40	spe	spe	PROPN
ajst-29611	321	41	,	,	PUNCT
ajst-29611	321	42	2015	2015	NUM
ajst-29611	321	43	,	,	PUNCT
ajst-29611	321	44	p.	p.	NOUN
ajst-29611	321	45	spe-176869	spe-176869	NOUN
ajst-29611	321	46	.	.	PUNCT
ajst-29611	322	1	accessed	access	VERB
ajst-29611	322	2	:	:	PUNCT
ajst-29611	322	3	nov	nov	PROPN
ajst-29611	322	4	.	.	PROPN
ajst-29611	322	5	28	28	NUM
ajst-29611	322	6	,	,	PUNCT
ajst-29611	322	7	2024	2024	NUM
ajst-29611	322	8	.	.	PUNCT
ajst-29611	323	1	[	[	X
ajst-29611	323	2	online	online	X
ajst-29611	323	3	]	]	X
ajst-29611	323	4	.	.	PUNCT
ajst-29611	324	1	available	available	ADJ
ajst-29611	324	2	:	:	PUNCT
ajst-29611	325	1	https://onepetro.org/speurce/proceedingsabstract/15urce/all-15urce/183897	https://onepetro.org/speurce/proceedingsabstract/15urce/all-15urce/183897	PROPN
ajst-29611	326	1	[	[	X
ajst-29611	326	2	4	4	X
ajst-29611	326	3	]	]	X
ajst-29611	326	4	d.	d.	PROPN
ajst-29611	326	5	liu	liu	PROPN
ajst-29611	326	6	,	,	PUNCT
ajst-29611	326	7	q.	q.	PROPN
ajst-29611	326	8	jia	jia	PROPN
ajst-29611	326	9	,	,	PUNCT
ajst-29611	326	10	and	and	CCONJ
ajst-29611	326	11	y.	y.	PROPN
ajst-29611	326	12	cai	cai	PROPN
ajst-29611	326	13	,	,	PUNCT
ajst-29611	326	14	‘	'	PUNCT
ajst-29611	326	15	research	research	NOUN
ajst-29611	326	16	progress	progress	NOUN
ajst-29611	326	17	on	on	ADP
ajst-29611	326	18	coalbed	coalbe	VERB
ajst-29611	326	19	methane	methane	NOUN
ajst-29611	326	20	reservoir	reservoir	NOUN
ajst-29611	326	21	geology	geology	NOUN
ajst-29611	326	22	and	and	CCONJ
ajst-29611	326	23	characterization	characterization	NOUN
ajst-29611	326	24	technology	technology	NOUN
ajst-29611	326	25	in	in	ADP
ajst-29611	326	26	china	china	PROPN
ajst-29611	326	27	’	'	PUNCT
ajst-29611	326	28	,	,	PUNCT
ajst-29611	326	29	coal	coal	NOUN
ajst-29611	326	30	science	science	NOUN
ajst-29611	326	31	and	and	CCONJ
ajst-29611	326	32	technology	technology	NOUN
ajst-29611	326	33	,	,	PUNCT
ajst-29611	326	34	vol	vol	NOUN
ajst-29611	326	35	.	.	PROPN
ajst-29611	327	1	50	50	NUM
ajst-29611	327	2	,	,	PUNCT
ajst-29611	327	3	no	no	INTJ
ajst-29611	327	4	.	.	NOUN
ajst-29611	327	5	1	1	NUM
ajst-29611	327	6	,	,	PUNCT
ajst-29611	327	7	pp	pp	ADJ
ajst-29611	327	8	.	.	PUNCT
ajst-29611	327	9	196	196	NUM
ajst-29611	327	10	–	–	PUNCT
ajst-29611	327	11	203	203	NUM
ajst-29611	327	12	,	,	PUNCT
ajst-29611	327	13	2022	2022	NUM
ajst-29611	327	14	.	.	PUNCT
ajst-29611	328	1	[	[	X
ajst-29611	328	2	5	5	X
ajst-29611	328	3	]	]	PUNCT
ajst-29611	328	4	c.	c.	PROPN
ajst-29611	328	5	f.	f.	PROPN
ajst-29611	328	6	wu	wu	PROPN
ajst-29611	328	7	,	,	PUNCT
ajst-29611	328	8	s.	s.	PROPN
ajst-29611	328	9	yao	yao	PROPN
ajst-29611	328	10	,	,	PUNCT
ajst-29611	328	11	and	and	CCONJ
ajst-29611	328	12	y.	y.	PROPN
ajst-29611	328	13	f.	f.	PROPN
ajst-29611	328	14	du	du	PROPN
ajst-29611	328	15	,	,	PUNCT
ajst-29611	328	16	‘	'	PUNCT
ajst-29611	328	17	production	production	NOUN
ajst-29611	328	18	systems	system	NOUN
ajst-29611	328	19	optimization	optimization	NOUN
ajst-29611	328	20	of	of	ADP
ajst-29611	328	21	a	a	DET
ajst-29611	328	22	cbm	cbm	PROPN
ajst-29611	328	23	well	well	INTJ
ajst-29611	328	24	based	base	VERB
ajst-29611	328	25	on	on	ADP
ajst-29611	328	26	a	a	DET
ajst-29611	328	27	time	time	NOUN
ajst-29611	328	28	series	series	PROPN
ajst-29611	328	29	bp	bp	PROPN
ajst-29611	328	30	neural	neural	PROPN
ajst-29611	328	31	network	network	NOUN
ajst-29611	328	32	’	'	PUNCT
ajst-29611	328	33	,	,	PUNCT
ajst-29611	328	34	journal	journal	NOUN
ajst-29611	328	35	of	of	ADP
ajst-29611	328	36	china	china	PROPN
ajst-29611	328	37	university	university	PROPN
ajst-29611	328	38	of	of	ADP
ajst-29611	328	39	mining	mining	NOUN
ajst-29611	328	40	and	and	CCONJ
ajst-29611	328	41	technology	technology	NOUN
ajst-29611	328	42	,	,	PUNCT
ajst-29611	328	43	vol	vol	NOUN
ajst-29611	328	44	.	.	PROPN
ajst-29611	328	45	44	44	NUM
ajst-29611	328	46	,	,	PUNCT
ajst-29611	328	47	no	no	INTJ
ajst-29611	328	48	.	.	NOUN
ajst-29611	328	49	1	1	NUM
ajst-29611	328	50	,	,	PUNCT
ajst-29611	328	51	2015	2015	NUM
ajst-29611	328	52	.	.	PUNCT
ajst-29611	329	1	[	[	X
ajst-29611	329	2	6	6	NUM
ajst-29611	329	3	]	]	PUNCT
ajst-29611	329	4	d.	d.	PROPN
ajst-29611	329	5	weiqiang	weiqiang	PROPN
ajst-29611	329	6	,	,	PUNCT
ajst-29611	329	7	m.	m.	NOUN
ajst-29611	329	8	zhaoping	zhaoping	PROPN
ajst-29611	329	9	,	,	PUNCT
ajst-29611	329	10	s.	s.	PROPN
ajst-29611	329	11	zhen	zhen	PROPN
ajst-29611	329	12	,	,	PUNCT
ajst-29611	329	13	z.	z.	PROPN
ajst-29611	329	14	zhimin	zhimin	PROPN
ajst-29611	329	15	,	,	PUNCT
ajst-29611	329	16	and	and	CCONJ
ajst-29611	329	17	c.	c.	PROPN
ajst-29611	329	18	tao	tao	PROPN
ajst-29611	329	19	,	,	PUNCT
ajst-29611	329	20	‘	'	PUNCT
ajst-29611	329	21	research	research	NOUN
ajst-29611	329	22	on	on	ADP
ajst-29611	329	23	coalbed	coalbe	VERB
ajst-29611	329	24	methane	methane	NOUN
ajst-29611	329	25	well	well	NOUN
ajst-29611	329	26	gas	gas	NOUN
ajst-29611	329	27	production	production	NOUN
ajst-29611	329	28	forecast	forecast	NOUN
ajst-29611	329	29	methodbased	methodbase	VERB
ajst-29611	329	30	on	on	ADP
ajst-29611	329	31	cyclic	cyclic	ADJ
ajst-29611	329	32	neural	neural	ADJ
ajst-29611	329	33	network	network	NOUN
ajst-29611	329	34	’	'	PUNCT
ajst-29611	329	35	,	,	PUNCT
ajst-29611	329	36	coal	coal	NOUN
ajst-29611	329	37	science	science	NOUN
ajst-29611	329	38	and	and	CCONJ
ajst-29611	329	39	technology	technology	NOUN
ajst-29611	329	40	,	,	PUNCT
ajst-29611	329	41	vol	vol	NOUN
ajst-29611	329	42	.	.	PROPN
ajst-29611	329	43	49	49	NUM
ajst-29611	329	44	,	,	PUNCT
ajst-29611	329	45	no	no	INTJ
ajst-29611	329	46	.	.	NOUN
ajst-29611	329	47	9	9	NUM
ajst-29611	329	48	,	,	PUNCT
ajst-29611	329	49	pp	pp	ADJ
ajst-29611	329	50	.	.	PUNCT
ajst-29611	330	1	176–183	176–183	NUM
ajst-29611	330	2	,	,	PUNCT
ajst-29611	330	3	2021	2021	NUM
ajst-29611	330	4	.	.	PUNCT
ajst-29611	331	1	[	[	X
ajst-29611	331	2	7	7	X
ajst-29611	331	3	]	]	X
ajst-29611	331	4	ma	ma	PROPN
ajst-29611	331	5	x	x	PROPN
ajst-29611	331	6	,	,	PUNCT
ajst-29611	331	7	hou	hou	PROPN
ajst-29611	331	8	m	m	PROPN
ajst-29611	331	9	,	,	PUNCT
ajst-29611	331	10	zhan	zhan	PROPN
ajst-29611	331	11	j	j	PROPN
ajst-29611	331	12	,	,	PUNCT
ajst-29611	331	13	et	et	PROPN
ajst-29611	331	14	al	al	PROPN
ajst-29611	331	15	.	.	PROPN
ajst-29611	331	16	enhancing	enhance	VERB
ajst-29611	331	17	production	production	NOUN
ajst-29611	331	18	prediction	prediction	NOUN
ajst-29611	331	19	in	in	ADP
ajst-29611	331	20	shale	shale	NOUN
ajst-29611	331	21	gas	gas	NOUN
ajst-29611	331	22	reservoirs	reservoir	NOUN
ajst-29611	331	23	using	use	VERB
ajst-29611	331	24	a	a	DET
ajst-29611	331	25	hybrid	hybrid	ADJ
ajst-29611	331	26	gated	gate	VERB
ajst-29611	331	27	recurrent	recurrent	ADJ
ajst-29611	331	28	unit	unit	NOUN
ajst-29611	331	29	and	and	CCONJ
ajst-29611	331	30	multilayer	multilayer	ADJ
ajst-29611	331	31	perceptron	perceptron	PROPN
ajst-29611	331	32	(	(	PUNCT
ajst-29611	331	33	gru	gru	PROPN
ajst-29611	331	34	-	-	NOUN
ajst-29611	331	35	mlp	mlp	NOUN
ajst-29611	331	36	)	)	PUNCT
ajst-29611	331	37	model[j	model[j	PROPN
ajst-29611	331	38	]	]	PUNCT
ajst-29611	331	39	.	.	PUNCT
ajst-29611	332	1	applied	apply	VERB
ajst-29611	332	2	sciences	science	NOUN
ajst-29611	332	3	,	,	PUNCT
ajst-29611	332	4	2023	2023	NUM
ajst-29611	332	5	,	,	PUNCT
ajst-29611	332	6	13(17	13(17	NUM
ajst-29611	332	7	):	):	PUNCT
ajst-29611	332	8	9827	9827	NUM
ajst-29611	332	9	.	.	PUNCT
ajst-29611	333	1	[	[	X
ajst-29611	333	2	8	8	NUM
ajst-29611	333	3	]	]	X
ajst-29611	333	4	zhao	zhao	PROPN
ajst-29611	333	5	haifeng	haifeng	PROPN
ajst-29611	333	6	,	,	PUNCT
ajst-29611	333	7	zhu	zhu	PROPN
ajst-29611	333	8	likai	likai	PROPN
ajst-29611	333	9	,	,	PUNCT
ajst-29611	333	10	liu	liu	PROPN
ajst-29611	333	11	changsong	changsong	PROPN
ajst-29611	333	12	,	,	PUNCT
ajst-29611	333	13	et	et	PROPN
ajst-29611	333	14	al	al	PROPN
ajst-29611	333	15	.	.	PROPN
ajst-29611	333	16	prediction	prediction	NOUN
ajst-29611	333	17	of	of	ADP
ajst-29611	333	18	coalbed	coalbe	VERB
ajst-29611	333	19	methane	methane	NOUN
ajst-29611	333	20	well	well	NOUN
ajst-29611	333	21	productivity	productivity	NOUN
ajst-29611	333	22	based	base	VERB
ajst-29611	333	23	on	on	ADP
ajst-29611	333	24	attention	attention	NOUN
ajst-29611	333	25	mechanism	mechanism	NOUN
ajst-29611	333	26	of	of	ADP
ajst-29611	333	27	cnn	cnn	PROPN
ajst-29611	333	28	-	-	PUNCT
ajst-29611	333	29	gru[j	gru[j	PROPN
ajst-29611	333	30	]	]	PUNCT
ajst-29611	333	31	.	.	PUNCT
ajst-29611	334	1	safety	safety	NOUN
ajst-29611	334	2	in	in	ADP
ajst-29611	334	3	coal	coal	NOUN
ajst-29611	334	4	mines	mine	NOUN
ajst-29611	334	5	,	,	PUNCT
ajst-29611	334	6	2023	2023	NUM
ajst-29611	334	7	,	,	PUNCT
ajst-29611	334	8	54（12	54（12	NUM
ajst-29611	334	9	）	）	PUNCT
ajst-29611	334	10	:	:	PUNCT
ajst-29611	335	1	11−17	11−17	X
ajst-29611	335	2	.	.	PUNCT
ajst-29611	336	1	[	[	X
ajst-29611	336	2	9	9	NUM
ajst-29611	336	3	]	]	X
ajst-29611	336	4	liu	liu	PROPN
ajst-29611	336	5	w	w	PROPN
ajst-29611	336	6	,	,	PUNCT
ajst-29611	336	7	liu	liu	PROPN
ajst-29611	336	8	w	w	PROPN
ajst-29611	336	9	d	d	PROPN
ajst-29611	336	10	,	,	PUNCT
ajst-29611	336	11	gu	gu	PROPN
ajst-29611	336	12	j.	j.	PROPN
ajst-29611	336	13	forecasting	forecasting	PROPN
ajst-29611	336	14	oil	oil	NOUN
ajst-29611	336	15	production	production	NOUN
ajst-29611	336	16	using	use	VERB
ajst-29611	336	17	ensemble	ensemble	ADJ
ajst-29611	336	18	empirical	empirical	ADJ
ajst-29611	336	19	model	model	NOUN
ajst-29611	336	20	decomposition	decomposition	NOUN
ajst-29611	336	21	based	base	VERB
ajst-29611	336	22	long	long	ADV
ajst-29611	336	23	shortterm	shortterm	PROPN
ajst-29611	336	24	memory	memory	NOUN
ajst-29611	336	25	neural	neural	ADJ
ajst-29611	336	26	network[j	network[j	PROPN
ajst-29611	336	27	]	]	PUNCT
ajst-29611	336	28	.	.	PUNCT
ajst-29611	337	1	journal	journal	PROPN
ajst-29611	337	2	of	of	ADP
ajst-29611	337	3	petroleum	petroleum	NOUN
ajst-29611	337	4	science	science	NOUN
ajst-29611	337	5	and	and	CCONJ
ajst-29611	337	6	engineering	engineering	NOUN
ajst-29611	337	7	,	,	PUNCT
ajst-29611	337	8	2020	2020	NUM
ajst-29611	337	9	,	,	PUNCT
ajst-29611	337	10	189	189	NUM
ajst-29611	337	11	:	:	SYM
ajst-29611	337	12	107013	107013	NUM
ajst-29611	337	13	.	.	PUNCT
ajst-29611	338	1	[	[	X
ajst-29611	338	2	10	10	NUM
ajst-29611	338	3	]	]	X
ajst-29611	338	4	g.	g.	PROPN
ajst-29611	338	5	zheng	zheng	PROPN
ajst-29611	338	6	,	,	PUNCT
ajst-29611	338	7	l.	l.	PROPN
ajst-29611	338	8	kong	kong	PROPN
ajst-29611	338	9	,	,	PUNCT
ajst-29611	338	10	z.	z.	PROPN
ajst-29611	338	11	su	su	PROPN
ajst-29611	338	12	,	,	PUNCT
ajst-29611	338	13	m.	m.	PROPN
ajst-29611	338	14	hu	hu	PROPN
ajst-29611	338	15	,	,	PUNCT
ajst-29611	338	16	and	and	CCONJ
ajst-29611	338	17	g.	g.	PROPN
ajst-29611	338	18	wang	wang	PROPN
ajst-29611	338	19	,	,	PUNCT
ajst-29611	338	20	‘	'	PUNCT
ajst-29611	338	21	approach	approach	NOUN
ajst-29611	338	22	for	for	ADP
ajst-29611	338	23	short	short	ADJ
ajst-29611	338	24	-	-	PUNCT
ajst-29611	338	25	term	term	NOUN
ajst-29611	338	26	power	power	NOUN
ajst-29611	338	27	load	load	NOUN
ajst-29611	338	28	prediction	prediction	NOUN
ajst-29611	338	29	utilizing	utilize	VERB
ajst-29611	338	30	the	the	DET
ajst-29611	338	31	iceemdan	iceemdan	PROPN
ajst-29611	338	32	–	–	PUNCT
ajst-29611	338	33	lstm	lstm	ADJ
ajst-29611	338	34	–	–	PUNCT
ajst-29611	338	35	tcn	tcn	NOUN
ajst-29611	338	36	–	–	PUNCT
ajst-29611	338	37	bagging	bag	VERB
ajst-29611	338	38	model	model	NOUN
ajst-29611	338	39	’	'	PUNCT
ajst-29611	338	40	,	,	PUNCT
ajst-29611	338	41	j.	j.	PROPN
ajst-29611	338	42	electr	electr	PROPN
ajst-29611	338	43	.	.	PUNCT
ajst-29611	339	1	eng	eng	PROPN
ajst-29611	339	2	.	.	PROPN
ajst-29611	339	3	technol	technol	PROPN
ajst-29611	339	4	.	.	PROPN
ajst-29611	339	5	,	,	PUNCT
ajst-29611	339	6	sep	sep	PROPN
ajst-29611	339	7	.	.	PROPN
ajst-29611	339	8	2024	2024	NUM
ajst-29611	339	9	,	,	PUNCT
ajst-29611	339	10	doi	doi	NOUN
ajst-29611	339	11	:	:	PUNCT
ajst-29611	339	12	10.1007	10.1007	NUM
ajst-29611	339	13	/	/	SYM
ajst-29611	339	14	s42835	s42835	NOUN
ajst-29611	339	15	-	-	PUNCT
ajst-29611	339	16	024	024	NUM
ajst-29611	339	17	-	-	PUNCT
ajst-29611	339	18	02040	02040	NUM
ajst-29611	339	19	-	-	SYM
ajst-29611	339	20	1	1	NUM
ajst-29611	339	21	.	.	PUNCT
ajst-29611	340	1	[	[	X
ajst-29611	340	2	11	11	NUM
ajst-29611	340	3	]	]	PUNCT
ajst-29611	340	4	x.	x.	PROPN
ajst-29611	340	5	zhang	zhang	PROPN
ajst-29611	340	6	,	,	PUNCT
ajst-29611	340	7	k.	k.	PROPN
ajst-29611	340	8	yang	yang	PROPN
ajst-29611	340	9	,	,	PUNCT
ajst-29611	340	10	q.	q.	PROPN
ajst-29611	340	11	lu	lu	PROPN
ajst-29611	340	12	,	,	PUNCT
ajst-29611	340	13	j.	j.	PROPN
ajst-29611	340	14	wu	wu	PROPN
ajst-29611	340	15	,	,	PUNCT
ajst-29611	340	16	l.	l.	PROPN
ajst-29611	340	17	yu	yu	PROPN
ajst-29611	340	18	,	,	PUNCT
ajst-29611	340	19	and	and	CCONJ
ajst-29611	340	20	y.	y.	PROPN
ajst-29611	340	21	lin	lin	PROPN
ajst-29611	340	22	,	,	PUNCT
ajst-29611	340	23	‘	'	PUNCT
ajst-29611	340	24	predicting	predict	VERB
ajst-29611	340	25	carbon	carbon	NOUN
ajst-29611	340	26	futures	future	NOUN
ajst-29611	340	27	prices	price	NOUN
ajst-29611	340	28	based	base	VERB
ajst-29611	340	29	on	on	ADP
ajst-29611	340	30	a	a	DET
ajst-29611	340	31	new	new	ADJ
ajst-29611	340	32	hybrid	hybrid	ADJ
ajst-29611	340	33	machine	machine	NOUN
ajst-29611	340	34	learning	learning	NOUN
ajst-29611	340	35	:	:	PUNCT
ajst-29611	340	36	comparative	comparative	ADJ
ajst-29611	340	37	study	study	NOUN
ajst-29611	340	38	of	of	ADP
ajst-29611	340	39	carbon	carbon	NOUN
ajst-29611	340	40	prices	price	NOUN
ajst-29611	340	41	in	in	ADP
ajst-29611	340	42	different	different	ADJ
ajst-29611	340	43	periods	period	NOUN
ajst-29611	340	44	’	'	PUNCT
ajst-29611	340	45	,	,	PUNCT
ajst-29611	340	46	journal	journal	NOUN
ajst-29611	340	47	of	of	ADP
ajst-29611	340	48	environmental	environmental	ADJ
ajst-29611	340	49	management	management	NOUN
ajst-29611	340	50	,	,	PUNCT
ajst-29611	340	51	vol	vol	NOUN
ajst-29611	340	52	.	.	PROPN
ajst-29611	340	53	346	346	NUM
ajst-29611	340	54	,	,	PUNCT
ajst-29611	340	55	p.	p.	NOUN
ajst-29611	340	56	118962	118962	NUM
ajst-29611	340	57	,	,	PUNCT
ajst-29611	340	58	2023	2023	NUM
ajst-29611	340	59	.	.	PUNCT
ajst-29611	341	1	[	[	X
ajst-29611	341	2	12	12	NUM
ajst-29611	341	3	]	]	PUNCT
ajst-29611	341	4	lahmiri	lahmiri	PROPN
ajst-29611	341	5	s.	s.	PROPN
ajst-29611	341	6	comparing	compare	VERB
ajst-29611	341	7	variational	variational	ADJ
ajst-29611	341	8	and	and	CCONJ
ajst-29611	341	9	empirical	empirical	ADJ
ajst-29611	341	10	mode	mode	NOUN
ajst-29611	341	11	decomposition	decomposition	NOUN
ajst-29611	341	12	in	in	ADP
ajst-29611	341	13	forecasting	forecast	VERB
ajst-29611	341	14	day	day	NOUN
ajst-29611	341	15	-	-	PUNCT
ajst-29611	341	16	ahead	ahead	NOUN
ajst-29611	341	17	energy	energy	NOUN
ajst-29611	341	18	prices[j	prices[j	PROPN
ajst-29611	341	19	]	]	PUNCT
ajst-29611	341	20	.	.	PUNCT
ajst-29611	342	1	ieee	ieee	PROPN
ajst-29611	342	2	systems	systems	PROPN
ajst-29611	342	3	journal	journal	NOUN
ajst-29611	342	4	,	,	PUNCT
ajst-29611	342	5	2015	2015	NUM
ajst-29611	342	6	,	,	PUNCT
ajst-29611	342	7	11(3	11(3	NUM
ajst-29611	342	8	):	):	PUNCT
ajst-29611	342	9	1907	1907	NUM
ajst-29611	342	10	-	-	SYM
ajst-29611	342	11	1910	1910	NUM
ajst-29611	342	12	.	.	PUNCT
ajst-29611	343	1	[	[	X
ajst-29611	343	2	13	13	NUM
ajst-29611	343	3	]	]	PUNCT
ajst-29611	343	4	k.	k.	PROPN
ajst-29611	343	5	dragomiretskiy	dragomiretskiy	PROPN
ajst-29611	343	6	and	and	CCONJ
ajst-29611	343	7	d.	d.	PROPN
ajst-29611	343	8	zosso	zosso	PROPN
ajst-29611	343	9	,	,	PUNCT
ajst-29611	343	10	‘	'	PUNCT
ajst-29611	343	11	variational	variational	ADJ
ajst-29611	343	12	mode	mode	NOUN
ajst-29611	343	13	decomposition	decomposition	NOUN
ajst-29611	343	14	’	'	PUNCT
ajst-29611	343	15	,	,	PUNCT
ajst-29611	343	16	ieee	ieee	NOUN
ajst-29611	343	17	transactions	transaction	NOUN
ajst-29611	343	18	on	on	ADP
ajst-29611	343	19	signal	signal	ADJ
ajst-29611	343	20	processing	processing	NOUN
ajst-29611	343	21	,	,	PUNCT
ajst-29611	343	22	vol	vol	NOUN
ajst-29611	343	23	.	.	PROPN
ajst-29611	344	1	62	62	NUM
ajst-29611	344	2	,	,	PUNCT
ajst-29611	344	3	no	no	INTJ
ajst-29611	344	4	.	.	NOUN
ajst-29611	344	5	3	3	NUM
ajst-29611	344	6	,	,	PUNCT
ajst-29611	344	7	pp	pp	ADJ
ajst-29611	344	8	.	.	PUNCT
ajst-29611	345	1	531–544	531–544	NUM
ajst-29611	345	2	,	,	PUNCT
ajst-29611	345	3	2013	2013	NUM
ajst-29611	345	4	.	.	PUNCT
ajst-29611	346	1	[	[	X
ajst-29611	346	2	14	14	NUM
ajst-29611	346	3	]	]	PUNCT
ajst-29611	346	4	x.	x.	NOUN
ajst-29611	346	5	pang	pang	PROPN
ajst-29611	346	6	,	,	PUNCT
ajst-29611	346	7	c.	c.	PROPN
ajst-29611	346	8	wang	wang	PROPN
ajst-29611	346	9	,	,	PUNCT
ajst-29611	346	10	and	and	CCONJ
ajst-29611	346	11	w.	w.	PROPN
ajst-29611	346	12	sun	sun	PROPN
ajst-29611	346	13	,	,	PUNCT
ajst-29611	346	14	‘	'	PUNCT
ajst-29611	346	15	study	study	NOUN
ajst-29611	346	16	on	on	ADP
ajst-29611	346	17	removing	remove	VERB
ajst-29611	346	18	noise	noise	NOUN
ajst-29611	346	19	effect	effect	NOUN
ajst-29611	346	20	of	of	ADP
ajst-29611	346	21	magneto	magneto	ADJ
ajst-29611	346	22	telluric	telluric	ADJ
ajst-29611	346	23	signals	signal	NOUN
ajst-29611	346	24	based	base	VERB
ajst-29611	346	25	on	on	ADP
ajst-29611	346	26	multi	multi	ADJ
ajst-29611	346	27	-	-	ADJ
ajst-29611	346	28	resolution	resolution	ADJ
ajst-29611	346	29	vmd	vmd	PROPN
ajst-29611	346	30	algorithm	algorithm	PROPN
ajst-29611	346	31	’	'	PUNCT
ajst-29611	346	32	,	,	PUNCT
ajst-29611	346	33	coal	coal	NOUN
ajst-29611	346	34	science	science	NOUN
ajst-29611	346	35	and	and	CCONJ
ajst-29611	346	36	technology	technology	NOUN
ajst-29611	346	37	,	,	PUNCT
ajst-29611	346	38	vol	vol	NOUN
ajst-29611	346	39	.	.	PROPN
ajst-29611	346	40	49	49	NUM
ajst-29611	346	41	,	,	PUNCT
ajst-29611	346	42	no	no	INTJ
ajst-29611	346	43	.	.	NOUN
ajst-29611	346	44	5	5	NUM
ajst-29611	346	45	,	,	PUNCT
ajst-29611	346	46	pp	pp	ADJ
ajst-29611	346	47	.	.	PUNCT
ajst-29611	347	1	227–233	227–233	NUM
ajst-29611	347	2	,	,	PUNCT
ajst-29611	347	3	2021	2021	NUM
ajst-29611	347	4	.	.	PUNCT
ajst-29611	348	1	[	[	X
ajst-29611	348	2	15	15	NUM
ajst-29611	348	3	]	]	X
ajst-29611	348	4	l.	l.	PROPN
ajst-29611	348	5	u.	u.	PROPN
ajst-29611	348	6	tieding	tieding	PROPN
ajst-29611	348	7	,	,	PUNCT
ajst-29611	348	8	l.	l.	PROPN
ajst-29611	348	9	i.	i.	PROPN
ajst-29611	348	10	zhen	zhen	PROPN
ajst-29611	348	11	,	,	PUNCT
ajst-29611	348	12	h.	h.	PROPN
ajst-29611	348	13	e.	e.	PROPN
ajst-29611	348	14	xiaoxing	xiaoxing	PROPN
ajst-29611	348	15	,	,	PUNCT
ajst-29611	348	16	and	and	CCONJ
ajst-29611	348	17	z.	z.	PROPN
ajst-29611	348	18	shijian	shijian	PROPN
ajst-29611	348	19	,	,	PUNCT
ajst-29611	348	20	‘	'	PUNCT
ajst-29611	348	21	gnss	gnss	NOUN
ajst-29611	348	22	vertical	vertical	ADJ
ajst-29611	348	23	time	time	PROPN
ajst-29611	348	24	series	series	PROPN
ajst-29611	348	25	prediction	prediction	NOUN
ajst-29611	348	26	method	method	NOUN
ajst-29611	348	27	integrating	integrate	VERB
ajst-29611	348	28	vmd	vmd	PROPN
ajst-29611	348	29	and	and	CCONJ
ajst-29611	348	30	xgboost	xgboost	ADV
ajst-29611	348	31	algorithms	algorithms	PROPN
ajst-29611	348	32	’	'	PUNCT
ajst-29611	348	33	,	,	PUNCT
ajst-29611	348	34	acta	acta	PROPN
ajst-29611	348	35	geodaetica	geodaetica	PROPN
ajst-29611	348	36	et	et	PROPN
ajst-29611	348	37	cartographica	cartographica	PROPN
ajst-29611	348	38	sinica	sinica	PROPN
ajst-29611	348	39	,	,	PUNCT
ajst-29611	348	40	vol	vol	NOUN
ajst-29611	348	41	.	.	PROPN
ajst-29611	348	42	52	52	NUM
ajst-29611	348	43	,	,	PUNCT
ajst-29611	348	44	no	no	INTJ
ajst-29611	348	45	.	.	NOUN
ajst-29611	348	46	8	8	NUM
ajst-29611	348	47	,	,	PUNCT
ajst-29611	348	48	p.	p.	NOUN
ajst-29611	348	49	1235	1235	NUM
ajst-29611	348	50	,	,	PUNCT
ajst-29611	348	51	2023	2023	NUM
ajst-29611	348	52	.	.	PUNCT
ajst-29611	349	1	[	[	X
ajst-29611	349	2	16	16	NUM
ajst-29611	349	3	]	]	PUNCT
ajst-29611	349	4	b.	b.	PROPN
ajst-29611	349	5	zhang	zhang	PROPN
ajst-29611	349	6	,	,	PUNCT
ajst-29611	349	7	c.	c.	PROPN
ajst-29611	349	8	ding	ding	PROPN
ajst-29611	349	9	,	,	PUNCT
ajst-29611	349	10	w.	w.	PROPN
ajst-29611	349	11	yan	yan	PROPN
ajst-29611	349	12	,	,	PUNCT
ajst-29611	349	13	l.	l.	PROPN
ajst-29611	349	14	guo	guo	PROPN
ajst-29611	349	15	,	,	PUNCT
ajst-29611	349	16	j.	j.	PROPN
ajst-29611	349	17	wang	wang	PROPN
ajst-29611	349	18	,	,	PUNCT
ajst-29611	349	19	and	and	CCONJ
ajst-29611	349	20	f.	f.	PROPN
ajst-29611	349	21	hou	hou	PROPN
ajst-29611	349	22	,	,	PUNCT
ajst-29611	349	23	‘	'	PUNCT
ajst-29611	349	24	analysis	analysis	NOUN
ajst-29611	349	25	of	of	ADP
ajst-29611	349	26	magnetoencephalography	magnetoencephalography	NOUN
ajst-29611	349	27	based	base	VERB
ajst-29611	349	28	on	on	ADP
ajst-29611	349	29	symbolic	symbolic	ADJ
ajst-29611	349	30	214	214	NUM
ajst-29611	349	31	transfer	transfer	NOUN
ajst-29611	349	32	entropy	entropy	NOUN
ajst-29611	349	33	’	'	PUNCT
ajst-29611	349	34	,	,	PUNCT
ajst-29611	349	35	in	in	ADP
ajst-29611	349	36	2017	2017	NUM
ajst-29611	349	37	10th	10th	ADJ
ajst-29611	349	38	international	international	ADJ
ajst-29611	349	39	congress	congress	PROPN
ajst-29611	349	40	on	on	ADP
ajst-29611	349	41	image	image	NOUN
ajst-29611	349	42	and	and	CCONJ
ajst-29611	349	43	signal	signal	NOUN
ajst-29611	349	44	processing	processing	NOUN
ajst-29611	349	45	,	,	PUNCT
ajst-29611	349	46	biomedical	biomedical	ADJ
ajst-29611	349	47	engineering	engineering	NOUN
ajst-29611	349	48	and	and	CCONJ
ajst-29611	349	49	informatics	informatic	NOUN
ajst-29611	349	50	(	(	PUNCT
ajst-29611	349	51	cisp	cisp	NOUN
ajst-29611	349	52	-	-	PUNCT
ajst-29611	349	53	bmei	bmei	PROPN
ajst-29611	349	54	)	)	PUNCT
ajst-29611	349	55	,	,	PUNCT
ajst-29611	349	56	ieee	ieee	NOUN
ajst-29611	349	57	,	,	PUNCT
ajst-29611	349	58	2017	2017	NUM
ajst-29611	349	59	,	,	PUNCT
ajst-29611	349	60	pp	pp	ADJ
ajst-29611	349	61	.	.	PUNCT
ajst-29611	350	1	1–5	1–5	X
ajst-29611	350	2	.	.	NUM
ajst-29611	350	3	accessed	access	VERB
ajst-29611	350	4	:	:	PUNCT
ajst-29611	350	5	nov	nov	PROPN
ajst-29611	350	6	.	.	PROPN
ajst-29611	350	7	27	27	NUM
ajst-29611	350	8	,	,	PUNCT
ajst-29611	350	9	2024	2024	NUM
ajst-29611	350	10	.	.	PUNCT
ajst-29611	351	1	[	[	X
ajst-29611	351	2	online	online	X
ajst-29611	351	3	]	]	X
ajst-29611	351	4	.	.	PUNCT
ajst-29611	352	1	available	available	ADJ
ajst-29611	352	2	:	:	PUNCT
ajst-29611	352	3	https://ieeexplore.ieee.org/abstract/document/8302087/	https://ieeexplore.ieee.org/abstract/document/8302087/	NOUN
ajst-29611	353	1	[	[	X
ajst-29611	353	2	17	17	NUM
ajst-29611	353	3	]	]	X
ajst-29611	353	4	c.	c.	PROPN
ajst-29611	353	5	qin	qin	PROPN
ajst-29611	353	6	et	et	PROPN
ajst-29611	353	7	al	al	PROPN
ajst-29611	353	8	.	.	PROPN
ajst-29611	353	9	,	,	PUNCT
ajst-29611	353	10	‘	'	PUNCT
ajst-29611	353	11	a	a	DET
ajst-29611	353	12	method	method	NOUN
ajst-29611	353	13	for	for	ADP
ajst-29611	353	14	predicting	predict	VERB
ajst-29611	353	15	the	the	DET
ajst-29611	353	16	time	time	NOUN
ajst-29611	353	17	series	series	NOUN
ajst-29611	353	18	of	of	ADP
ajst-29611	353	19	microseismic	microseismic	ADJ
ajst-29611	353	20	events	event	NOUN
ajst-29611	353	21	in	in	ADP
ajst-29611	353	22	coal	coal	NOUN
ajst-29611	353	23	mines	mine	NOUN
ajst-29611	353	24	based	base	VERB
ajst-29611	353	25	on	on	ADP
ajst-29611	353	26	modal	modal	ADJ
ajst-29611	353	27	decomposition	decomposition	NOUN
ajst-29611	353	28	and	and	CCONJ
ajst-29611	353	29	deep	deep	ADJ
ajst-29611	353	30	learning	learning	NOUN
ajst-29611	353	31	’	'	PUNCT
ajst-29611	353	32	,	,	PUNCT
ajst-29611	353	33	journal	journal	NOUN
ajst-29611	353	34	of	of	ADP
ajst-29611	353	35	china	china	PROPN
ajst-29611	353	36	coal	coal	PROPN
ajst-29611	353	37	society	society	PROPN
ajst-29611	353	38	,	,	PUNCT
ajst-29611	353	39	vol	vol	NOUN
ajst-29611	353	40	.	.	PROPN
ajst-29611	353	41	49	49	NUM
ajst-29611	353	42	,	,	PUNCT
ajst-29611	353	43	no	no	INTJ
ajst-29611	353	44	.	.	NOUN
ajst-29611	353	45	9	9	NUM
ajst-29611	353	46	,	,	PUNCT
ajst-29611	353	47	pp	pp	ADJ
ajst-29611	353	48	.	.	PUNCT
ajst-29611	354	1	3781–3797	3781–3797	NUM
ajst-29611	354	2	,	,	PUNCT
ajst-29611	354	3	2024	2024	NUM
ajst-29611	354	4	.	.	PUNCT
ajst-29611	355	1	[	[	X
ajst-29611	355	2	18	18	NUM
ajst-29611	355	3	]	]	X
ajst-29611	355	4	t.	t.	NOUN
ajst-29611	355	5	kattenborn	kattenborn	PROPN
ajst-29611	355	6	,	,	PUNCT
ajst-29611	355	7	j.	j.	PROPN
ajst-29611	355	8	leitloff	leitloff	PROPN
ajst-29611	355	9	,	,	PUNCT
ajst-29611	355	10	f.	f.	PROPN
ajst-29611	355	11	schiefer	schiefer	PROPN
ajst-29611	355	12	,	,	PUNCT
ajst-29611	355	13	and	and	CCONJ
ajst-29611	355	14	s.	s.	PROPN
ajst-29611	355	15	hinz	hinz	PROPN
ajst-29611	355	16	,	,	PUNCT
ajst-29611	355	17	‘	'	PUNCT
ajst-29611	355	18	review	review	NOUN
ajst-29611	355	19	on	on	ADP
ajst-29611	355	20	convolutional	convolutional	ADJ
ajst-29611	355	21	neural	neural	ADJ
ajst-29611	355	22	networks	network	NOUN
ajst-29611	355	23	(	(	PUNCT
ajst-29611	355	24	cnn	cnn	PROPN
ajst-29611	355	25	)	)	PUNCT
ajst-29611	355	26	in	in	ADP
ajst-29611	355	27	vegetation	vegetation	NOUN
ajst-29611	355	28	remote	remote	ADJ
ajst-29611	355	29	sensing	sensing	NOUN
ajst-29611	355	30	’	'	PUNCT
ajst-29611	355	31	,	,	PUNCT
ajst-29611	355	32	isprs	isprs	NOUN
ajst-29611	355	33	journal	journal	NOUN
ajst-29611	355	34	of	of	ADP
ajst-29611	355	35	photogrammetry	photogrammetry	NOUN
ajst-29611	355	36	and	and	CCONJ
ajst-29611	355	37	remote	remote	ADJ
ajst-29611	355	38	sensing	sensing	NOUN
ajst-29611	355	39	,	,	PUNCT
ajst-29611	355	40	vol	vol	NOUN
ajst-29611	355	41	.	.	PROPN
ajst-29611	355	42	173	173	NUM
ajst-29611	355	43	,	,	PUNCT
ajst-29611	355	44	pp	pp	ADJ
ajst-29611	355	45	.	.	PUNCT
ajst-29611	356	1	24–49	24–49	NUM
ajst-29611	356	2	,	,	PUNCT
ajst-29611	356	3	2021	2021	NUM
ajst-29611	356	4	.	.	PUNCT
ajst-29611	357	1	[	[	X
ajst-29611	357	2	19	19	NUM
ajst-29611	357	3	]	]	PUNCT
ajst-29611	357	4	a.	a.	NOUN
ajst-29611	357	5	graves	grave	NOUN
ajst-29611	357	6	,	,	PUNCT
ajst-29611	357	7	‘	'	PUNCT
ajst-29611	357	8	long	long	ADJ
ajst-29611	357	9	short	short	ADJ
ajst-29611	357	10	-	-	PUNCT
ajst-29611	357	11	term	term	NOUN
ajst-29611	357	12	memory	memory	NOUN
ajst-29611	357	13	’	'	PUNCT
ajst-29611	357	14	,	,	PUNCT
ajst-29611	357	15	in	in	ADP
ajst-29611	357	16	supervised	supervised	ADJ
ajst-29611	357	17	sequence	sequence	NOUN
ajst-29611	357	18	labelling	labelling	NOUN
ajst-29611	357	19	with	with	ADP
ajst-29611	357	20	recurrent	recurrent	ADJ
ajst-29611	357	21	neural	neural	ADJ
ajst-29611	357	22	networks	network	NOUN
ajst-29611	357	23	,	,	PUNCT
ajst-29611	357	24	vol	vol	NOUN
ajst-29611	357	25	.	.	PROPN
ajst-29611	357	26	385	385	NUM
ajst-29611	357	27	,	,	PUNCT
ajst-29611	357	28	in	in	ADP
ajst-29611	357	29	studies	study	NOUN
ajst-29611	357	30	in	in	ADP
ajst-29611	357	31	computational	computational	ADJ
ajst-29611	357	32	intelligence	intelligence	NOUN
ajst-29611	357	33	,	,	PUNCT
ajst-29611	357	34	vol	vol	NOUN
ajst-29611	357	35	.	.	PROPN
ajst-29611	357	36	385	385	NUM
ajst-29611	357	37	.	.	PUNCT
ajst-29611	357	38	,	,	PUNCT
ajst-29611	357	39	berlin	berlin	PROPN
ajst-29611	357	40	,	,	PUNCT
ajst-29611	357	41	heidelberg	heidelberg	PROPN
ajst-29611	357	42	:	:	PUNCT
ajst-29611	357	43	springer	springer	PROPN
ajst-29611	357	44	berlin	berlin	PROPN
ajst-29611	357	45	heidelberg	heidelberg	PROPN
ajst-29611	357	46	,	,	PUNCT
ajst-29611	357	47	2012	2012	NUM
ajst-29611	357	48	,	,	PUNCT
ajst-29611	357	49	pp	pp	ADJ
ajst-29611	357	50	.	.	PUNCT
ajst-29611	358	1	37–45	37–45	NUM
ajst-29611	358	2	.	.	PUNCT
ajst-29611	359	1	doi	doi	NOUN
ajst-29611	359	2	:	:	PUNCT
ajst-29611	359	3	10.1007/978	10.1007/978	NUM
ajst-29611	359	4	-	-	SYM
ajst-29611	359	5	3	3	NUM
ajst-29611	359	6	-	-	PUNCT
ajst-29611	359	7	642	642	NUM
ajst-29611	359	8	-	-	PUNCT
ajst-29611	359	9	24797	24797	NUM
ajst-29611	359	10	-	-	PUNCT
ajst-29611	359	11	2_4	2_4	NUM
ajst-29611	359	12	.	.	PUNCT
ajst-29611	360	1	[	[	X
ajst-29611	360	2	20	20	NUM
ajst-29611	360	3	]	]	X
ajst-29611	360	4	h.	h.	PROPN
ajst-29611	360	5	wei	wei	PROPN
ajst-29611	360	6	-	-	PROPN
ajst-29611	360	7	jian	jian	PROPN
ajst-29611	360	8	,	,	PUNCT
ajst-29611	360	9	l.	l.	PROPN
ajst-29611	360	10	yong	yong	PROPN
ajst-29611	360	11	-	-	PUNCT
ajst-29611	360	12	tao	tao	PROPN
ajst-29611	360	13	,	,	PUNCT
ajst-29611	360	14	and	and	CCONJ
ajst-29611	360	15	h.	h.	PROPN
ajst-29611	360	16	yuan	yuan	PROPN
ajst-29611	360	17	,	,	PUNCT
ajst-29611	360	18	‘	'	PUNCT
ajst-29611	360	19	prediction	prediction	NOUN
ajst-29611	360	20	of	of	ADP
ajst-29611	360	21	chaotic	chaotic	ADJ
ajst-29611	360	22	time	time	NOUN
ajst-29611	360	23	series	series	NOUN
ajst-29611	360	24	using	use	VERB
ajst-29611	360	25	hybrid	hybrid	ADJ
ajst-29611	360	26	neural	neural	ADJ
ajst-29611	360	27	network	network	NOUN
ajst-29611	360	28	and	and	CCONJ
ajst-29611	360	29	attention	attention	NOUN
ajst-29611	360	30	mechanism	mechanism	NOUN
ajst-29611	360	31	’	'	PUNCT
ajst-29611	360	32	,	,	PUNCT
ajst-29611	360	33	acta	acta	PROPN
ajst-29611	360	34	physica	physica	PROPN
ajst-29611	360	35	sinica	sinica	PROPN
ajst-29611	360	36	,	,	PUNCT
ajst-29611	360	37	vol	vol	NOUN
ajst-29611	360	38	.	.	PROPN
ajst-29611	361	1	70	70	NUM
ajst-29611	361	2	,	,	PUNCT
ajst-29611	361	3	no	no	INTJ
ajst-29611	361	4	.	.	NOUN
ajst-29611	361	5	1	1	NUM
ajst-29611	361	6	,	,	PUNCT
ajst-29611	361	7	2021	2021	NUM
ajst-29611	361	8	.	.	PUNCT
ajst-29611	362	1	[	[	X
ajst-29611	362	2	21	21	NUM
ajst-29611	362	3	]	]	PUNCT
ajst-29611	362	4	k.	k.	PROPN
ajst-29611	362	5	wang	wang	PROPN
ajst-29611	362	6	,	,	PUNCT
ajst-29611	362	7	c.	c.	PROPN
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ajst-29611	362	9	,	,	PUNCT
ajst-29611	362	10	y.	y.	PROPN
ajst-29611	362	11	qiao	qiao	PROPN
ajst-29611	362	12	,	,	PUNCT
ajst-29611	362	13	x.	x.	PROPN
ajst-29611	362	14	lu	lu	PROPN
ajst-29611	362	15	,	,	PUNCT
ajst-29611	362	16	w.	w.	PROPN
ajst-29611	362	17	hao	hao	PROPN
ajst-29611	362	18	,	,	PUNCT
ajst-29611	362	19	and	and	CCONJ
ajst-29611	362	20	s.	s.	PROPN
ajst-29611	362	21	dong	dong	PROPN
ajst-29611	362	22	,	,	PUNCT
ajst-29611	362	23	‘	'	PUNCT
ajst-29611	362	24	a	a	DET
ajst-29611	362	25	hybrid	hybrid	ADJ
ajst-29611	362	26	deep	deep	ADJ
ajst-29611	362	27	learning	learning	NOUN
ajst-29611	362	28	model	model	NOUN
ajst-29611	362	29	with	with	ADP
ajst-29611	362	30	1dcnn	1dcnn	NUM
ajst-29611	362	31	-	-	PUNCT
ajst-29611	362	32	lstm	lstm	ADJ
ajst-29611	362	33	-	-	PUNCT
ajst-29611	362	34	attention	attention	NOUN
ajst-29611	362	35	networks	network	NOUN
ajst-29611	362	36	for	for	ADP
ajst-29611	362	37	short	short	ADJ
ajst-29611	362	38	-	-	PUNCT
ajst-29611	362	39	term	term	NOUN
ajst-29611	362	40	traffic	traffic	NOUN
ajst-29611	362	41	flow	flow	NOUN
ajst-29611	362	42	prediction	prediction	NOUN
ajst-29611	362	43	’	'	PUNCT
ajst-29611	362	44	,	,	PUNCT
ajst-29611	362	45	physica	physica	VERB
ajst-29611	362	46	a	a	DET
ajst-29611	362	47	:	:	PUNCT
ajst-29611	362	48	statistical	statistical	ADJ
ajst-29611	362	49	mechanics	mechanic	NOUN
ajst-29611	362	50	and	and	CCONJ
ajst-29611	362	51	its	its	PRON
ajst-29611	362	52	applications	application	NOUN
ajst-29611	362	53	,	,	PUNCT
ajst-29611	362	54	vol	vol	NOUN
ajst-29611	362	55	.	.	PROPN
ajst-29611	362	56	583	583	NUM
ajst-29611	362	57	,	,	PUNCT
ajst-29611	362	58	p.	p.	NOUN
ajst-29611	362	59	126293	126293	NUM
ajst-29611	362	60	,	,	PUNCT
ajst-29611	362	61	2021	2021	NUM
ajst-29611	362	62	.	.	PUNCT
ajst-29611	363	1	[	[	X
ajst-29611	363	2	22	22	NUM
ajst-29611	363	3	]	]	X
ajst-29611	363	4	h.	h.	PROPN
ajst-29611	363	5	tang	tang	PROPN
ajst-29611	363	6	,	,	PUNCT
ajst-29611	363	7	j.	j.	PROPN
ajst-29611	363	8	cheng	cheng	PROPN
ajst-29611	363	9	,	,	PUNCT
ajst-29611	363	10	and	and	CCONJ
ajst-29611	363	11	s.	s.	PROPN
ajst-29611	363	12	wang	wang	PROPN
ajst-29611	363	13	,	,	PUNCT
ajst-29611	363	14	‘	'	PUNCT
ajst-29611	363	15	support	support	NOUN
ajst-29611	363	16	vector	vector	NOUN
ajst-29611	363	17	machine	machine	NOUN
ajst-29611	363	18	regression	regression	NOUN
ajst-29611	363	19	model	model	NOUN
ajst-29611	363	20	of	of	ADP
ajst-29611	363	21	cbm	cbm	PROPN
ajst-29611	363	22	content	content	NOUN
ajst-29611	363	23	and	and	CCONJ
ajst-29611	363	24	application	application	NOUN
ajst-29611	363	25	’	'	PUNCT
ajst-29611	363	26	,	,	PUNCT
ajst-29611	363	27	in	in	ADP
ajst-29611	363	28	2009	2009	NUM
ajst-29611	363	29	ieee	ieee	NOUN
ajst-29611	363	30	international	international	ADJ
ajst-29611	363	31	conference	conference	NOUN
ajst-29611	363	32	on	on	ADP
ajst-29611	363	33	intelligent	intelligent	ADJ
ajst-29611	363	34	computing	computing	NOUN
ajst-29611	363	35	and	and	CCONJ
ajst-29611	363	36	intelligent	intelligent	ADJ
ajst-29611	363	37	systems	system	NOUN
ajst-29611	363	38	,	,	PUNCT
ajst-29611	363	39	ieee	ieee	NOUN
ajst-29611	363	40	,	,	PUNCT
ajst-29611	363	41	2009	2009	NUM
ajst-29611	363	42	,	,	PUNCT
ajst-29611	363	43	pp	pp	ADJ
ajst-29611	363	44	.	.	PUNCT
ajst-29611	364	1	99–102	99–102	NUM
ajst-29611	364	2	.	.	PUNCT
ajst-29611	364	3	accessed	access	VERB
ajst-29611	364	4	:	:	PUNCT
ajst-29611	364	5	nov	nov	PROPN
ajst-29611	364	6	.	.	PROPN
ajst-29611	364	7	28	28	NUM
ajst-29611	364	8	,	,	PUNCT
ajst-29611	364	9	2024	2024	NUM
ajst-29611	364	10	.	.	PUNCT
ajst-29611	365	1	[	[	X
ajst-29611	365	2	online	online	X
ajst-29611	365	3	]	]	X
ajst-29611	365	4	.	.	PUNCT
ajst-29611	366	1	available	available	ADJ
ajst-29611	366	2	:	:	PUNCT
ajst-29611	366	3	https://ieeexplore.ieee.org/abstract/document/5357929/	https://ieeexplore.ieee.org/abstract/document/5357929/	PROPN
ajst-29611	367	1	[	[	X
ajst-29611	367	2	23	23	X
ajst-29611	367	3	]	]	PUNCT
ajst-29611	367	4	j.	j.	PROPN
ajst-29611	367	5	xue	xue	PROPN
ajst-29611	367	6	and	and	CCONJ
ajst-29611	367	7	b.	b.	PROPN
ajst-29611	367	8	shen	shen	PROPN
ajst-29611	367	9	,	,	PUNCT
ajst-29611	367	10	‘	'	PUNCT
ajst-29611	367	11	a	a	DET
ajst-29611	367	12	novel	novel	ADJ
ajst-29611	367	13	swarm	swarm	NOUN
ajst-29611	367	14	intelligence	intelligence	NOUN
ajst-29611	367	15	optimization	optimization	NOUN
ajst-29611	367	16	approach	approach	NOUN
ajst-29611	367	17	:	:	PUNCT
ajst-29611	367	18	sparrow	sparrow	ADJ
ajst-29611	367	19	search	search	NOUN
ajst-29611	367	20	algorithm	algorithm	NOUN
ajst-29611	367	21	’	'	PUNCT
ajst-29611	367	22	,	,	PUNCT
ajst-29611	367	23	systems	systems	PROPN
ajst-29611	367	24	science	science	PROPN
ajst-29611	367	25	&	&	CCONJ
ajst-29611	367	26	control	control	PROPN
ajst-29611	367	27	engineering	engineering	PROPN
ajst-29611	367	28	,	,	PUNCT
ajst-29611	367	29	vol	vol	NOUN
ajst-29611	367	30	.	.	PROPN
ajst-29611	367	31	8	8	NUM
ajst-29611	367	32	,	,	PUNCT
ajst-29611	367	33	no	no	INTJ
ajst-29611	367	34	.	.	NOUN
ajst-29611	367	35	1	1	NUM
ajst-29611	367	36	,	,	PUNCT
ajst-29611	367	37	pp	pp	ADJ
ajst-29611	367	38	.	.	PUNCT
ajst-29611	368	1	22–34	22–34	NUM
ajst-29611	368	2	,	,	PUNCT
ajst-29611	368	3	jan	jan	PROPN
ajst-29611	368	4	.	.	PROPN
ajst-29611	368	5	2020	2020	NUM
ajst-29611	368	6	,	,	PUNCT
ajst-29611	368	7	doi	doi	NOUN
ajst-29611	368	8	:	:	PUNCT
ajst-29611	368	9	10.1080/21642583.2019.1708830	10.1080/21642583.2019.1708830	NUM
ajst-29611	368	10	.	.	PUNCT
ajst-29611	369	1	[	[	X
ajst-29611	369	2	24	24	NUM
ajst-29611	369	3	]	]	PUNCT
ajst-29611	369	4	l.	l.	PROPN
ajst-29611	369	5	deng	deng	PROPN
ajst-29611	369	6	,	,	PUNCT
ajst-29611	369	7	j.	j.	PROPN
ajst-29611	369	8	yuan	yuan	PROPN
ajst-29611	369	9	,	,	PUNCT
ajst-29611	369	10	j.	j.	PROPN
ajst-29611	369	11	liu	liu	PROPN
ajst-29611	369	12	,	,	PUNCT
ajst-29611	369	13	and	and	CCONJ
ajst-29611	369	14	w.	w.	PROPN
ajst-29611	369	15	shang	shang	PROPN
ajst-29611	369	16	,	,	PUNCT
ajst-29611	369	17	‘	'	PUNCT
ajst-29611	369	18	detection	detection	NOUN
ajst-29611	369	19	method	method	NOUN
ajst-29611	369	20	of	of	ADP
ajst-29611	369	21	wind	wind	NOUN
ajst-29611	369	22	speed	speed	NOUN
ajst-29611	369	23	anomaly	anomaly	NOUN
ajst-29611	369	24	fluctuation	fluctuation	NOUN
ajst-29611	369	25	based	base	VERB
ajst-29611	369	26	on	on	ADP
ajst-29611	369	27	ssa	ssa	PROPN
ajst-29611	369	28	lstm	lstm	PROPN
ajst-29611	369	29	’	'	PUNCT
ajst-29611	369	30	,	,	PUNCT
ajst-29611	369	31	coal	coal	NOUN
ajst-29611	369	32	science	science	NOUN
ajst-29611	369	33	and	and	CCONJ
ajst-29611	369	34	technology	technology	NOUN
ajst-29611	369	35	,	,	PUNCT
ajst-29611	369	36	vol	vol	NOUN
ajst-29611	369	37	.	.	PROPN
ajst-29611	369	38	52	52	NUM
ajst-29611	369	39	,	,	PUNCT
ajst-29611	369	40	no	no	INTJ
ajst-29611	369	41	.	.	NOUN
ajst-29611	369	42	3	3	NUM
ajst-29611	369	43	,	,	PUNCT
ajst-29611	369	44	pp	pp	ADJ
ajst-29611	369	45	.	.	PUNCT
ajst-29611	370	1	139–147	139–147	NUM
ajst-29611	370	2	,	,	PUNCT
ajst-29611	370	3	2024	2024	NUM
ajst-29611	370	4	.	.	PUNCT