id	sid	tid	token	lemma	pos
fcis-23825	1	1	frontiers	frontier	NOUN
fcis-23825	1	2	in	in	ADP
fcis-23825	1	3	computing	computing	NOUN
fcis-23825	1	4	and	and	CCONJ
fcis-23825	1	5	intelligent	intelligent	ADJ
fcis-23825	1	6	systems	system	NOUN
fcis-23825	1	7	issn	issn	VERB
fcis-23825	1	8	:	:	PUNCT
fcis-23825	1	9	2832	2832	NUM
fcis-23825	1	10	-	-	SYM
fcis-23825	1	11	6024	6024	NUM
fcis-23825	1	12	|	|	NOUN
fcis-23825	1	13	vol	vol	NOUN
fcis-23825	1	14	.	.	PROPN
fcis-23825	2	1	9	9	NUM
fcis-23825	2	2	,	,	PUNCT
fcis-23825	2	3	no	no	INTJ
fcis-23825	2	4	.	.	NOUN
fcis-23825	2	5	1	1	NUM
fcis-23825	2	6	,	,	PUNCT
fcis-23825	2	7	2024	2024	NUM
fcis-23825	2	8	5	5	NUM
fcis-23825	2	9	research	research	NOUN
fcis-23825	2	10	on	on	ADP
fcis-23825	2	11	short‐term	short‐term	ADJ
fcis-23825	2	12	multi‐step	multi‐step	NOUN
fcis-23825	2	13	prediction	prediction	NOUN
fcis-23825	2	14	of	of	ADP
fcis-23825	2	15	river	river	NOUN
fcis-23825	2	16	dissolved	dissolve	VERB
fcis-23825	2	17	oxygen	oxygen	NOUN
fcis-23825	2	18	based	base	VERB
fcis-23825	2	19	on	on	ADP
fcis-23825	2	20	stl‐lstm	stl‐lstm	PROPN
fcis-23825	2	21	bo	bo	PROPN
fcis-23825	2	22	chen	chen	PROPN
fcis-23825	2	23	1	1	NUM
fcis-23825	2	24	,	,	PUNCT
fcis-23825	2	25	*	*	PUNCT
fcis-23825	2	26	,	,	PUNCT
fcis-23825	2	27	tuokai	tuokai	VERB
fcis-23825	2	28	cao	cao	PROPN
fcis-23825	2	29	2	2	NUM
fcis-23825	2	30	,	,	PUNCT
fcis-23825	2	31	lidong	lidong	ADJ
fcis-23825	2	32	yao	yao	NOUN
fcis-23825	2	33	3	3	NUM
fcis-23825	2	34	1	1	NUM
fcis-23825	2	35	senior	senior	ADJ
fcis-23825	2	36	software	software	NOUN
fcis-23825	2	37	engineer	engineer	NOUN
fcis-23825	2	38	,	,	PUNCT
fcis-23825	2	39	shanghai	shanghai	PROPN
fcis-23825	2	40	shizhuang	shizhuang	PROPN
fcis-23825	2	41	information	information	PROPN
fcis-23825	2	42	technology	technology	PROPN
fcis-23825	2	43	co.	co.	PROPN
fcis-23825	2	44	,	,	PUNCT
fcis-23825	2	45	ltd	ltd	PROPN
fcis-23825	2	46	shanghai	shanghai	PROPN
fcis-23825	2	47	,	,	PUNCT
fcis-23825	2	48	200080	200080	NUM
fcis-23825	2	49	,	,	PUNCT
fcis-23825	2	50	china	china	PROPN
fcis-23825	2	51	2	2	NUM
fcis-23825	2	52	senior	senior	ADJ
fcis-23825	2	53	engineer	engineer	NOUN
fcis-23825	2	54	,	,	PUNCT
fcis-23825	2	55	guodian	guodian	NOUN
fcis-23825	2	56	nanjing	nanjing	PROPN
fcis-23825	2	57	automation	automation	PROPN
fcis-23825	2	58	co.	co.	PROPN
fcis-23825	2	59	,	,	PUNCT
fcis-23825	2	60	ltd	ltd	PROPN
fcis-23825	2	61	nanjing	nanjing	PROPN
fcis-23825	2	62	,	,	PUNCT
fcis-23825	2	63	jiangsu	jiangsu	PROPN
fcis-23825	2	64	,	,	PUNCT
fcis-23825	2	65	211106	211106	NUM
fcis-23825	2	66	,	,	PUNCT
fcis-23825	2	67	china	china	PROPN
fcis-23825	2	68	3	3	NUM
fcis-23825	2	69	doctorate	doctorate	PROPN
fcis-23825	2	70	,	,	PUNCT
fcis-23825	2	71	nanjing	nanjing	PROPN
fcis-23825	2	72	university	university	PROPN
fcis-23825	2	73	of	of	ADP
fcis-23825	2	74	aeronautics	aeronautics	PROPN
fcis-23825	2	75	and	and	CCONJ
fcis-23825	2	76	astronautics	astronautics	PROPN
fcis-23825	2	77	,	,	PUNCT
fcis-23825	2	78	nanjing	nanjing	PROPN
fcis-23825	2	79	,	,	PUNCT
fcis-23825	2	80	jiangsu	jiangsu	PROPN
fcis-23825	2	81	,	,	PUNCT
fcis-23825	2	82	211106	211106	NUM
fcis-23825	2	83	,	,	PUNCT
fcis-23825	2	84	china	china	PROPN
fcis-23825	2	85	*	*	PUNCT
fcis-23825	2	86	corresponding	correspond	VERB
fcis-23825	2	87	author	author	NOUN
fcis-23825	2	88	:	:	PUNCT
fcis-23825	2	89	bo	bo	PROPN
fcis-23825	2	90	chen	chen	PROPN
fcis-23825	2	91	(	(	PUNCT
fcis-23825	2	92	email	email	NOUN
fcis-23825	2	93	:	:	PUNCT
fcis-23825	2	94	andy20160606@gmail.com	andy20160606@gmail.com	X
fcis-23825	2	95	)	)	PUNCT
fcis-23825	3	1	abstract	abstract	NOUN
fcis-23825	3	2	:	:	PUNCT
fcis-23825	3	3	in	in	ADP
fcis-23825	3	4	order	order	NOUN
fcis-23825	3	5	to	to	PART
fcis-23825	3	6	improve	improve	VERB
fcis-23825	3	7	the	the	DET
fcis-23825	3	8	multi	multi	ADJ
fcis-23825	3	9	-	-	ADJ
fcis-23825	3	10	step	step	ADJ
fcis-23825	3	11	prediction	prediction	NOUN
fcis-23825	3	12	accuracy	accuracy	NOUN
fcis-23825	3	13	of	of	ADP
fcis-23825	3	14	dissolved	dissolved	ADJ
fcis-23825	3	15	oxygen	oxygen	NOUN
fcis-23825	3	16	in	in	ADP
fcis-23825	3	17	rivers	river	NOUN
fcis-23825	3	18	,	,	PUNCT
fcis-23825	3	19	this	this	DET
fcis-23825	3	20	paper	paper	NOUN
fcis-23825	3	21	proposes	propose	VERB
fcis-23825	3	22	a	a	DET
fcis-23825	3	23	multistep	multistep	ADJ
fcis-23825	3	24	prediction	prediction	NOUN
fcis-23825	3	25	model	model	NOUN
fcis-23825	3	26	for	for	ADP
fcis-23825	3	27	dissolved	dissolve	VERB
fcis-23825	3	28	oxygen	oxygen	NOUN
fcis-23825	3	29	in	in	ADP
fcis-23825	3	30	rivers	river	NOUN
fcis-23825	3	31	based	base	VERB
fcis-23825	3	32	on	on	ADP
fcis-23825	3	33	the	the	DET
fcis-23825	3	34	combination	combination	NOUN
fcis-23825	3	35	of	of	ADP
fcis-23825	3	36	stl	stl	PROPN
fcis-23825	3	37	-	-	PUNCT
fcis-23825	3	38	lstm	lstm	PROPN
fcis-23825	3	39	and	and	CCONJ
fcis-23825	3	40	multi	multi	ADJ
fcis-23825	3	41	input	input	NOUN
fcis-23825	3	42	multi	multi	ADJ
fcis-23825	3	43	output	output	NOUN
fcis-23825	3	44	strategy	strategy	NOUN
fcis-23825	3	45	(	(	PUNCT
fcis-23825	3	46	stl	stl	PROPN
fcis-23825	3	47	-	-	PUNCT
fcis-23825	3	48	mimo	mimo	PROPN
fcis-23825	3	49	-	-	PUNCT
fcis-23825	3	50	lstm	lstm	PROPN
fcis-23825	3	51	)	)	PUNCT
fcis-23825	3	52	.	.	PUNCT
fcis-23825	4	1	firstly	firstly	ADV
fcis-23825	4	2	,	,	PUNCT
fcis-23825	4	3	the	the	DET
fcis-23825	4	4	dissolved	dissolve	VERB
fcis-23825	4	5	oxygen	oxygen	NOUN
fcis-23825	4	6	is	be	AUX
fcis-23825	4	7	decomposed	decompose	VERB
fcis-23825	4	8	into	into	ADP
fcis-23825	4	9	trend	trend	NOUN
fcis-23825	4	10	,	,	PUNCT
fcis-23825	4	11	seasonal	seasonal	ADJ
fcis-23825	4	12	,	,	PUNCT
fcis-23825	4	13	and	and	CCONJ
fcis-23825	4	14	residual	residual	ADJ
fcis-23825	4	15	components	component	NOUN
fcis-23825	4	16	using	use	VERB
fcis-23825	4	17	the	the	DET
fcis-23825	4	18	seasonal	seasonal	ADJ
fcis-23825	4	19	and	and	CCONJ
fcis-23825	4	20	trend	trend	NOUN
fcis-23825	4	21	decomposition	decomposition	NOUN
fcis-23825	4	22	using	use	VERB
fcis-23825	4	23	loess	loess	NOUN
fcis-23825	4	24	(	(	PUNCT
fcis-23825	4	25	stl	stl	PROPN
fcis-23825	4	26	)	)	PUNCT
fcis-23825	4	27	method	method	NOUN
fcis-23825	4	28	to	to	PART
fcis-23825	4	29	enhance	enhance	VERB
fcis-23825	4	30	data	data	NOUN
fcis-23825	4	31	features	feature	NOUN
fcis-23825	4	32	.	.	PUNCT
fcis-23825	5	1	then	then	ADV
fcis-23825	5	2	,	,	PUNCT
fcis-23825	5	3	the	the	DET
fcis-23825	5	4	model	model	NOUN
fcis-23825	5	5	is	be	AUX
fcis-23825	5	6	constructed	construct	VERB
fcis-23825	5	7	using	use	VERB
fcis-23825	5	8	the	the	DET
fcis-23825	5	9	multi	multi	ADJ
fcis-23825	5	10	-	-	ADJ
fcis-23825	5	11	input	input	ADJ
fcis-23825	5	12	multi	multi	ADJ
fcis-23825	5	13	-	-	ADJ
fcis-23825	5	14	output	output	ADJ
fcis-23825	5	15	strategy	strategy	NOUN
fcis-23825	5	16	(	(	PUNCT
fcis-23825	5	17	mimo	mimo	PROPN
fcis-23825	5	18	)	)	PUNCT
fcis-23825	5	19	combined	combine	VERB
fcis-23825	5	20	with	with	ADP
fcis-23825	5	21	the	the	DET
fcis-23825	5	22	long	long	ADJ
fcis-23825	5	23	short	short	ADJ
fcis-23825	5	24	-	-	PUNCT
fcis-23825	5	25	term	term	NOUN
fcis-23825	5	26	memory	memory	NOUN
fcis-23825	5	27	(	(	PUNCT
fcis-23825	5	28	lstm	lstm	NOUN
fcis-23825	5	29	)	)	PUNCT
fcis-23825	5	30	model	model	NOUN
fcis-23825	5	31	;	;	PUNCT
fcis-23825	5	32	finally	finally	ADV
fcis-23825	5	33	,	,	PUNCT
fcis-23825	5	34	the	the	DET
fcis-23825	5	35	lstm	lstm	PROPN
fcis-23825	5	36	model	model	NOUN
fcis-23825	5	37	was	be	AUX
fcis-23825	5	38	applied	apply	VERB
fcis-23825	5	39	to	to	ADP
fcis-23825	5	40	the	the	DET
fcis-23825	5	41	prediction	prediction	NOUN
fcis-23825	5	42	experiment	experiment	NOUN
fcis-23825	5	43	of	of	ADP
fcis-23825	5	44	dissolved	dissolved	ADJ
fcis-23825	5	45	oxygen	oxygen	NOUN
fcis-23825	5	46	in	in	ADP
fcis-23825	5	47	the	the	DET
fcis-23825	5	48	beijing	beijing	PROPN
fcis-23825	5	49	-	-	PUNCT
fcis-23825	5	50	hangzhou	hangzhou	PROPN
fcis-23825	5	51	grand	grand	ADJ
fcis-23825	5	52	canal	canal	NOUN
fcis-23825	5	53	.	.	PUNCT
fcis-23825	6	1	the	the	DET
fcis-23825	6	2	experimental	experimental	ADJ
fcis-23825	6	3	results	result	NOUN
fcis-23825	6	4	show	show	VERB
fcis-23825	6	5	that	that	SCONJ
fcis-23825	6	6	the	the	DET
fcis-23825	6	7	mean	mean	ADJ
fcis-23825	6	8	absolute	absolute	ADJ
fcis-23825	6	9	error	error	NOUN
fcis-23825	6	10	(	(	PUNCT
fcis-23825	6	11	mae	mae	PROPN
fcis-23825	6	12	)	)	PUNCT
fcis-23825	6	13	of	of	ADP
fcis-23825	6	14	the	the	DET
fcis-23825	6	15	stl	stl	PROPN
fcis-23825	6	16	-	-	PUNCT
fcis-23825	6	17	momo	momo	NOUN
fcis-23825	6	18	-	-	PUNCT
fcis-23825	6	19	lstm	lstm	NOUN
fcis-23825	6	20	model	model	NOUN
fcis-23825	6	21	in	in	ADP
fcis-23825	6	22	the	the	DET
fcis-23825	6	23	next	next	ADJ
fcis-23825	6	24	4	4	NUM
fcis-23825	6	25	steps	step	NOUN
fcis-23825	6	26	is	be	AUX
fcis-23825	6	27	0.07	0.07	NUM
fcis-23825	6	28	,	,	PUNCT
fcis-23825	6	29	0.1024	0.1024	NUM
fcis-23825	6	30	,	,	PUNCT
fcis-23825	6	31	0.1211	0.1211	NUM
fcis-23825	6	32	,	,	PUNCT
fcis-23825	6	33	0.1319	0.1319	NUM
fcis-23825	6	34	,	,	PUNCT
fcis-23825	6	35	and	and	CCONJ
fcis-23825	6	36	the	the	DET
fcis-23825	6	37	mean	mean	ADJ
fcis-23825	6	38	square	square	ADJ
fcis-23825	6	39	error	error	NOUN
fcis-23825	6	40	(	(	PUNCT
fcis-23825	6	41	mse	mse	NOUN
fcis-23825	6	42	)	)	PUNCT
fcis-23825	6	43	is	be	AUX
fcis-23825	6	44	0.0134	0.0134	NUM
fcis-23825	6	45	,	,	PUNCT
fcis-23825	6	46	0.0288	0.0288	NUM
fcis-23825	6	47	,	,	PUNCT
fcis-23825	6	48	0.0399	0.0399	NUM
fcis-23825	6	49	,	,	PUNCT
fcis-23825	6	50	0.0467	0.0467	NUM
fcis-23825	6	51	.	.	PUNCT
fcis-23825	6	52	except	except	SCONJ
fcis-23825	6	53	for	for	ADP
fcis-23825	6	54	the	the	DET
fcis-23825	6	55	first	first	ADJ
fcis-23825	6	56	time	time	NOUN
fcis-23825	6	57	step	step	NOUN
fcis-23825	6	58	,	,	PUNCT
fcis-23825	6	59	the	the	DET
fcis-23825	6	60	prediction	prediction	NOUN
fcis-23825	6	61	accuracy	accuracy	NOUN
fcis-23825	6	62	is	be	AUX
fcis-23825	6	63	better	well	ADJ
fcis-23825	6	64	than	than	ADP
fcis-23825	6	65	the	the	DET
fcis-23825	6	66	recursive	recursive	ADJ
fcis-23825	6	67	and	and	CCONJ
fcis-23825	6	68	direct	direct	ADJ
fcis-23825	6	69	multi	multi	ADJ
fcis-23825	6	70	-	-	ADJ
fcis-23825	6	71	step	step	ADJ
fcis-23825	6	72	prediction	prediction	NOUN
fcis-23825	6	73	models	model	NOUN
fcis-23825	6	74	.	.	PUNCT
fcis-23825	7	1	the	the	DET
fcis-23825	7	2	mse	mse	PROPN
fcis-23825	7	3	prediction	prediction	NOUN
fcis-23825	7	4	accuracy	accuracy	NOUN
fcis-23825	7	5	decay	decay	NOUN
fcis-23825	7	6	rates	rate	NOUN
fcis-23825	7	7	of	of	ADP
fcis-23825	7	8	stl	stl	PROPN
fcis-23825	7	9	-	-	PUNCT
fcis-23825	7	10	mimolstm	mimolstm	PROPN
fcis-23825	7	11	for	for	ADP
fcis-23825	7	12	he	he	PRON
fcis-23825	7	13	2nd	2nd	NOUN
fcis-23825	7	14	,	,	PUNCT
fcis-23825	7	15	3rd	3rd	ADJ
fcis-23825	7	16	,	,	PUNCT
fcis-23825	7	17	and	and	CCONJ
fcis-23825	7	18	4th	4th	ADJ
fcis-23825	7	19	time	time	NOUN
fcis-23825	7	20	steps	step	NOUN
fcis-23825	7	21	are	be	AUX
fcis-23825	7	22	1.1496	1.1496	NUM
fcis-23825	7	23	%	%	NOUN
fcis-23825	7	24	,	,	PUNCT
fcis-23825	7	25	0.3878	0.3878	NUM
fcis-23825	7	26	%	%	NOUN
fcis-23825	7	27	,	,	PUNCT
fcis-23825	7	28	and	and	CCONJ
fcis-23825	7	29	0.1688	0.1688	NUM
fcis-23825	7	30	%	%	NOUN
fcis-23825	7	31	,	,	PUNCT
fcis-23825	7	32	respectively	respectively	ADV
fcis-23825	7	33	,	,	PUNCT
fcis-23825	7	34	which	which	PRON
fcis-23825	7	35	are	be	AUX
fcis-23825	7	36	lower	low	ADJ
fcis-23825	7	37	than	than	ADP
fcis-23825	7	38	other	other	ADJ
fcis-23825	7	39	models	model	NOUN
fcis-23825	7	40	for	for	ADP
fcis-23825	7	41	the	the	DET
fcis-23825	7	42	2nd	2nd	ADJ
fcis-23825	7	43	and	and	CCONJ
fcis-23825	7	44	3rd	3rd	ADJ
fcis-23825	7	45	-	-	PUNCT
fcis-23825	7	46	time	time	NOUN
fcis-23825	7	47	steps	step	NOUN
fcis-23825	7	48	,	,	PUNCT
fcis-23825	7	49	while	while	SCONJ
fcis-23825	7	50	slightly	slightly	ADV
fcis-23825	7	51	higher	high	ADJ
fcis-23825	7	52	than	than	ADP
fcis-23825	7	53	the	the	DET
fcis-23825	7	54	stl	stl	PROPN
fcis-23825	7	55	-	-	PUNCT
fcis-23825	7	56	direct	direct	ADJ
fcis-23825	7	57	-	-	PUNCT
fcis-23825	7	58	lstm	lstm	NOUN
fcis-23825	7	59	model	model	NOUN
fcis-23825	7	60	(	(	PUNCT
fcis-23825	7	61	0.1501	0.1501	NUM
fcis-23825	7	62	%	%	NOUN
fcis-23825	7	63	)	)	PUNCT
fcis-23825	7	64	for	for	ADP
fcis-23825	7	65	4th	4th	ADJ
fcis-23825	7	66	-	-	PUNCT
fcis-23825	7	67	time	time	NOUN
fcis-23825	7	68	steps	step	NOUN
fcis-23825	7	69	.	.	PUNCT
fcis-23825	8	1	therefore	therefore	ADV
fcis-23825	8	2	,	,	PUNCT
fcis-23825	8	3	the	the	DET
fcis-23825	8	4	model	model	NOUN
fcis-23825	8	5	exhibits	exhibit	VERB
fcis-23825	8	6	high	high	ADJ
fcis-23825	8	7	prediction	prediction	NOUN
fcis-23825	8	8	accuracy	accuracy	NOUN
fcis-23825	8	9	and	and	CCONJ
fcis-23825	8	10	stable	stable	ADJ
fcis-23825	8	11	prediction	prediction	NOUN
fcis-23825	8	12	performance	performance	NOUN
fcis-23825	8	13	,	,	PUNCT
fcis-23825	8	14	can	can	AUX
fcis-23825	8	15	effectively	effectively	ADV
fcis-23825	8	16	predict	predict	VERB
fcis-23825	8	17	the	the	DET
fcis-23825	8	18	future	future	ADJ
fcis-23825	8	19	trend	trend	NOUN
fcis-23825	8	20	of	of	ADP
fcis-23825	8	21	dissolved	dissolve	VERB
fcis-23825	8	22	oxygen	oxygen	NOUN
fcis-23825	8	23	,	,	PUNCT
fcis-23825	8	24	and	and	CCONJ
fcis-23825	8	25	provide	provide	VERB
fcis-23825	8	26	references	reference	NOUN
fcis-23825	8	27	for	for	ADP
fcis-23825	8	28	river	river	NOUN
fcis-23825	8	29	water	water	NOUN
fcis-23825	8	30	quality	quality	NOUN
fcis-23825	8	31	management	management	NOUN
fcis-23825	8	32	.	.	PUNCT
fcis-23825	9	1	keywords	keyword	NOUN
fcis-23825	9	2	:	:	PUNCT
fcis-23825	9	3	dissolved	dissolve	VERB
fcis-23825	9	4	oxygen	oxygen	NOUN
fcis-23825	9	5	prediction	prediction	NOUN
fcis-23825	9	6	;	;	PUNCT
fcis-23825	9	7	stl	stl	PROPN
fcis-23825	9	8	;	;	PUNCT
fcis-23825	9	9	time	time	NOUN
fcis-23825	9	10	series	series	NOUN
fcis-23825	9	11	;	;	PUNCT
fcis-23825	9	12	lstm	lstm	NOUN
fcis-23825	9	13	;	;	PUNCT
fcis-23825	9	14	multi	multi	ADJ
fcis-23825	9	15	-	-	ADJ
fcis-23825	9	16	step	step	ADJ
fcis-23825	9	17	predict	predict	NOUN
fcis-23825	9	18	.	.	PUNCT
fcis-23825	10	1	1	1	X
fcis-23825	10	2	.	.	X
fcis-23825	10	3	introduction	introduction	NOUN
fcis-23825	10	4	dissolved	dissolve	VERB
fcis-23825	10	5	oxygen	oxygen	NOUN
fcis-23825	10	6	is	be	AUX
fcis-23825	10	7	one	one	NUM
fcis-23825	10	8	of	of	ADP
fcis-23825	10	9	the	the	DET
fcis-23825	10	10	important	important	ADJ
fcis-23825	10	11	indicators	indicator	NOUN
fcis-23825	10	12	of	of	ADP
fcis-23825	10	13	the	the	DET
fcis-23825	10	14	water	water	NOUN
fcis-23825	10	15	environment	environment	NOUN
fcis-23825	10	16	and	and	CCONJ
fcis-23825	10	17	is	be	AUX
fcis-23825	10	18	of	of	ADP
fcis-23825	10	19	great	great	ADJ
fcis-23825	10	20	significance	significance	NOUN
fcis-23825	10	21	to	to	ADP
fcis-23825	10	22	maintaining	maintain	VERB
fcis-23825	10	23	the	the	DET
fcis-23825	10	24	ecological	ecological	ADJ
fcis-23825	10	25	health	health	NOUN
fcis-23825	10	26	of	of	ADP
fcis-23825	10	27	the	the	DET
fcis-23825	10	28	water	water	NOUN
fcis-23825	10	29	body	body	NOUN
fcis-23825	10	30	(	(	PUNCT
fcis-23825	10	31	franklin	franklin	PROPN
fcis-23825	10	32	,	,	PUNCT
fcis-23825	10	33	2014	2014	NUM
fcis-23825	10	34	;	;	PUNCT
fcis-23825	10	35	ren	ren	PROPN
fcis-23825	10	36	et	et	PROPN
fcis-23825	10	37	al	al	PROPN
fcis-23825	10	38	.	.	PROPN
fcis-23825	10	39	,	,	PUNCT
fcis-23825	10	40	2020	2020	NUM
fcis-23825	10	41	)	)	PUNCT
fcis-23825	10	42	.	.	PUNCT
fcis-23825	11	1	due	due	ADP
fcis-23825	11	2	to	to	ADP
fcis-23825	11	3	the	the	DET
fcis-23825	11	4	influence	influence	NOUN
fcis-23825	11	5	of	of	ADP
fcis-23825	11	6	many	many	ADJ
fcis-23825	11	7	factors	factor	NOUN
fcis-23825	11	8	,	,	PUNCT
fcis-23825	11	9	dissolved	dissolve	VERB
fcis-23825	11	10	oxygen	oxygen	NOUN
fcis-23825	11	11	has	have	VERB
fcis-23825	11	12	the	the	DET
fcis-23825	11	13	characteristics	characteristic	NOUN
fcis-23825	11	14	of	of	ADP
fcis-23825	11	15	nonlinearity	nonlinearity	NOUN
fcis-23825	11	16	and	and	CCONJ
fcis-23825	11	17	a	a	DET
fcis-23825	11	18	large	large	ADJ
fcis-23825	11	19	time	time	NOUN
fcis-23825	11	20	lag	lag	NOUN
fcis-23825	11	21	(	(	PUNCT
fcis-23825	11	22	li	li	PROPN
fcis-23825	11	23	et	et	PROPN
fcis-23825	11	24	al	al	PROPN
fcis-23825	11	25	.	.	PROPN
fcis-23825	11	26	,	,	PUNCT
fcis-23825	11	27	2018	2018	NUM
fcis-23825	11	28	)	)	PUNCT
fcis-23825	11	29	.	.	PUNCT
fcis-23825	12	1	therefore	therefore	ADV
fcis-23825	12	2	,	,	PUNCT
fcis-23825	12	3	it	it	PRON
fcis-23825	12	4	is	be	AUX
fcis-23825	12	5	of	of	ADP
fcis-23825	12	6	great	great	ADJ
fcis-23825	12	7	significance	significance	NOUN
fcis-23825	12	8	to	to	PART
fcis-23825	12	9	study	study	VERB
fcis-23825	12	10	the	the	DET
fcis-23825	12	11	prediction	prediction	NOUN
fcis-23825	12	12	method	method	NOUN
fcis-23825	12	13	of	of	ADP
fcis-23825	12	14	dissolved	dissolve	VERB
fcis-23825	12	15	oxygen	oxygen	NOUN
fcis-23825	12	16	and	and	CCONJ
fcis-23825	12	17	understand	understand	VERB
fcis-23825	12	18	its	its	PRON
fcis-23825	12	19	changing	change	VERB
fcis-23825	12	20	patterns	pattern	NOUN
fcis-23825	12	21	in	in	ADP
fcis-23825	12	22	a	a	DET
fcis-23825	12	23	timely	timely	ADJ
fcis-23825	12	24	manner	manner	NOUN
fcis-23825	12	25	for	for	ADP
fcis-23825	12	26	river	river	NOUN
fcis-23825	12	27	water	water	NOUN
fcis-23825	12	28	quality	quality	NOUN
fcis-23825	12	29	management	management	NOUN
fcis-23825	12	30	.	.	PUNCT
fcis-23825	13	1	at	at	ADP
fcis-23825	13	2	present	present	ADJ
fcis-23825	13	3	,	,	PUNCT
fcis-23825	13	4	a	a	DET
fcis-23825	13	5	large	large	ADJ
fcis-23825	13	6	number	number	NOUN
fcis-23825	13	7	of	of	ADP
fcis-23825	13	8	scholars	scholar	NOUN
fcis-23825	13	9	have	have	AUX
fcis-23825	13	10	conducted	conduct	VERB
fcis-23825	13	11	research	research	NOUN
fcis-23825	13	12	on	on	ADP
fcis-23825	13	13	the	the	DET
fcis-23825	13	14	dissolved	dissolve	VERB
fcis-23825	13	15	oxygen	oxygen	NOUN
fcis-23825	13	16	prediction	prediction	NOUN
fcis-23825	13	17	method	method	NOUN
fcis-23825	13	18	and	and	CCONJ
fcis-23825	13	19	achieved	achieve	VERB
fcis-23825	13	20	certain	certain	ADJ
fcis-23825	13	21	results	result	NOUN
fcis-23825	13	22	(	(	PUNCT
fcis-23825	13	23	li	li	PROPN
fcis-23825	13	24	et	et	PROPN
fcis-23825	13	25	al	al	PROPN
fcis-23825	13	26	.	.	PROPN
fcis-23825	13	27	,	,	PUNCT
fcis-23825	13	28	2022	2022	NUM
fcis-23825	13	29	;	;	PUNCT
fcis-23825	13	30	kisi	kisi	PROPN
fcis-23825	13	31	et	et	PROPN
fcis-23825	13	32	al	al	PROPN
fcis-23825	13	33	.	.	PROPN
fcis-23825	13	34	,	,	PUNCT
fcis-23825	13	35	2020	2020	NUM
fcis-23825	13	36	;	;	PUNCT
fcis-23825	13	37	liu	liu	PROPN
fcis-23825	13	38	et	et	PROPN
fcis-23825	13	39	al	al	PROPN
fcis-23825	13	40	.	.	PROPN
fcis-23825	13	41	,	,	PUNCT
fcis-23825	13	42	2019	2019	NUM
fcis-23825	13	43	)	)	PUNCT
fcis-23825	13	44	.	.	PUNCT
fcis-23825	14	1	li	li	PROPN
fcis-23825	14	2	c	c	PROPN
fcis-23825	14	3	et	et	PROPN
fcis-23825	14	4	al	al	PROPN
fcis-23825	14	5	.	.	PROPN
fcis-23825	15	1	(	(	PUNCT
fcis-23825	15	2	2018	2018	NUM
fcis-23825	15	3	)	)	PUNCT
fcis-23825	15	4	used	use	VERB
fcis-23825	15	5	the	the	DET
fcis-23825	15	6	wavelet	wavelet	NOUN
fcis-23825	15	7	method	method	NOUN
fcis-23825	15	8	to	to	PART
fcis-23825	15	9	denoise	denoise	VERB
fcis-23825	15	10	the	the	DET
fcis-23825	15	11	dissolved	dissolve	VERB
fcis-23825	15	12	oxygen	oxygen	NOUN
fcis-23825	15	13	data	datum	NOUN
fcis-23825	15	14	and	and	CCONJ
fcis-23825	15	15	experimentally	experimentally	ADV
fcis-23825	15	16	demonstrated	demonstrate	VERB
fcis-23825	15	17	that	that	SCONJ
fcis-23825	15	18	the	the	DET
fcis-23825	15	19	lstm	lstm	PROPN
fcis-23825	15	20	model	model	NOUN
fcis-23825	15	21	is	be	AUX
fcis-23825	15	22	more	more	ADV
fcis-23825	15	23	suitable	suitable	ADJ
fcis-23825	15	24	for	for	ADP
fcis-23825	15	25	dissolved	dissolve	VERB
fcis-23825	15	26	oxygen	oxygen	NOUN
fcis-23825	15	27	prediction	prediction	NOUN
fcis-23825	15	28	compared	compare	VERB
fcis-23825	15	29	to	to	ADP
fcis-23825	15	30	traditional	traditional	ADJ
fcis-23825	15	31	chaotic	chaotic	ADJ
fcis-23825	15	32	time	time	NOUN
fcis-23825	15	33	series	series	NOUN
fcis-23825	15	34	models	model	NOUN
fcis-23825	15	35	.	.	PUNCT
fcis-23825	16	1	eze	eze	PROPN
fcis-23825	16	2	e	e	PROPN
fcis-23825	16	3	et	et	NOUN
fcis-23825	16	4	al.(2020	al.(2020	PROPN
fcis-23825	16	5	)	)	PUNCT
fcis-23825	16	6	proposed	propose	VERB
fcis-23825	16	7	a	a	DET
fcis-23825	16	8	combined	combine	VERB
fcis-23825	16	9	prediction	prediction	NOUN
fcis-23825	16	10	model	model	NOUN
fcis-23825	16	11	(	(	PUNCT
fcis-23825	16	12	eemd	eemd	NOUN
fcis-23825	16	13	-	-	PUNCT
fcis-23825	16	14	lstm	lstm	NOUN
fcis-23825	16	15	)	)	PUNCT
fcis-23825	16	16	based	base	VERB
fcis-23825	16	17	on	on	ADP
fcis-23825	16	18	ensemble	ensemble	ADJ
fcis-23825	16	19	empirical	empirical	ADJ
fcis-23825	16	20	mode	mode	NOUN
fcis-23825	16	21	decomposition	decomposition	NOUN
fcis-23825	16	22	(	(	PUNCT
fcis-23825	16	23	eemd	eemd	PROPN
fcis-23825	16	24	)	)	PUNCT
fcis-23825	16	25	and	and	CCONJ
fcis-23825	16	26	lstm	lstm	PROPN
fcis-23825	16	27	,	,	PUNCT
fcis-23825	16	28	which	which	PRON
fcis-23825	16	29	proved	prove	VERB
fcis-23825	16	30	that	that	SCONJ
fcis-23825	16	31	the	the	DET
fcis-23825	16	32	model	model	NOUN
fcis-23825	16	33	has	have	VERB
fcis-23825	16	34	lower	low	ADJ
fcis-23825	16	35	mae	mae	PROPN
fcis-23825	16	36	and	and	CCONJ
fcis-23825	16	37	mse	mse	PROPN
fcis-23825	16	38	and	and	CCONJ
fcis-23825	16	39	higher	high	ADJ
fcis-23825	16	40	prediction	prediction	NOUN
fcis-23825	16	41	accuracy	accuracy	NOUN
fcis-23825	16	42	.	.	PUNCT
fcis-23825	17	1	o'donncha	o'donncha	PROPN
fcis-23825	17	2	et	et	PROPN
fcis-23825	17	3	al.(2022	al.(2022	PROPN
fcis-23825	17	4	)	)	PUNCT
fcis-23825	17	5	proposed	propose	VERB
fcis-23825	17	6	a	a	DET
fcis-23825	17	7	spatiotemporal	spatiotemporal	ADJ
fcis-23825	17	8	-	-	PUNCT
fcis-23825	17	9	based	base	VERB
fcis-23825	17	10	lstm	lstm	NOUN
fcis-23825	17	11	model	model	NOUN
fcis-23825	17	12	and	and	CCONJ
fcis-23825	17	13	proved	prove	VERB
fcis-23825	17	14	that	that	SCONJ
fcis-23825	17	15	the	the	DET
fcis-23825	17	16	model	model	NOUN
fcis-23825	17	17	can	can	AUX
fcis-23825	17	18	accurately	accurately	ADV
fcis-23825	17	19	reproduce	reproduce	VERB
fcis-23825	17	20	complex	complex	ADJ
fcis-23825	17	21	signals	signal	NOUN
fcis-23825	17	22	,	,	PUNCT
fcis-23825	17	23	and	and	CCONJ
fcis-23825	17	24	is	be	AUX
fcis-23825	17	25	suitable	suitable	ADJ
fcis-23825	17	26	for	for	ADP
fcis-23825	17	27	dissolved	dissolve	VERB
fcis-23825	17	28	oxygen	oxygen	NOUN
fcis-23825	17	29	time	time	NOUN
fcis-23825	17	30	series	series	PROPN
fcis-23825	17	31	predicting	predict	VERB
fcis-23825	17	32	.	.	PUNCT
fcis-23825	18	1	nair	nair	PROPN
fcis-23825	18	2	et	et	PROPN
fcis-23825	18	3	al.(2022	al.(2022	PROPN
fcis-23825	18	4	)	)	PUNCT
fcis-23825	18	5	proposed	propose	VERB
fcis-23825	18	6	an	an	DET
fcis-23825	18	7	lstm	lstm	NOUN
fcis-23825	18	8	-	-	PUNCT
fcis-23825	18	9	based	base	VERB
fcis-23825	18	10	dissolved	dissolved	ADJ
fcis-23825	18	11	oxygen	oxygen	NOUN
fcis-23825	18	12	prediction	prediction	NOUN
fcis-23825	18	13	model	model	NOUN
fcis-23825	18	14	for	for	ADP
fcis-23825	18	15	bhavani	bhavani	PROPN
fcis-23825	18	16	river	river	PROPN
fcis-23825	18	17	dissolved	dissolve	VERB
fcis-23825	18	18	oxygen	oxygen	NOUN
fcis-23825	18	19	prediction	prediction	NOUN
fcis-23825	18	20	,	,	PUNCT
fcis-23825	18	21	which	which	PRON
fcis-23825	18	22	proved	prove	VERB
fcis-23825	18	23	that	that	SCONJ
fcis-23825	18	24	the	the	DET
fcis-23825	18	25	model	model	NOUN
fcis-23825	18	26	is	be	AUX
fcis-23825	18	27	superior	superior	ADJ
fcis-23825	18	28	to	to	ADP
fcis-23825	18	29	shallow	shallow	ADJ
fcis-23825	18	30	models	model	NOUN
fcis-23825	18	31	such	such	ADJ
fcis-23825	18	32	as	as	ADP
fcis-23825	18	33	svr	svr	NOUN
fcis-23825	18	34	,	,	PUNCT
fcis-23825	18	35	random	random	ADJ
fcis-23825	18	36	forest	forest	NOUN
fcis-23825	18	37	,	,	PUNCT
fcis-23825	18	38	linear	linear	ADJ
fcis-23825	18	39	regression	regression	NOUN
fcis-23825	18	40	,	,	PUNCT
fcis-23825	18	41	and	and	CCONJ
fcis-23825	18	42	mlp	mlp	PROPN
fcis-23825	18	43	regressor	regressor	NOUN
fcis-23825	18	44	.	.	PUNCT
fcis-23825	19	1	however	however	ADV
fcis-23825	19	2	,	,	PUNCT
fcis-23825	19	3	the	the	DET
fcis-23825	19	4	above	above	ADJ
fcis-23825	19	5	researches	research	NOUN
fcis-23825	19	6	only	only	ADV
fcis-23825	19	7	focused	focus	VERB
fcis-23825	19	8	only	only	ADV
fcis-23825	19	9	on	on	ADP
fcis-23825	19	10	single	single	ADJ
fcis-23825	19	11	-	-	PUNCT
fcis-23825	19	12	step	step	NOUN
fcis-23825	19	13	prediction	prediction	NOUN
fcis-23825	19	14	of	of	ADP
fcis-23825	19	15	dissolved	dissolve	VERB
fcis-23825	19	16	oxygen	oxygen	NOUN
fcis-23825	19	17	and	and	CCONJ
fcis-23825	19	18	were	be	AUX
fcis-23825	19	19	unable	unable	ADJ
fcis-23825	19	20	to	to	PART
fcis-23825	19	21	capture	capture	VERB
fcis-23825	19	22	the	the	DET
fcis-23825	19	23	future	future	ADJ
fcis-23825	19	24	trends	trend	NOUN
fcis-23825	19	25	of	of	ADP
fcis-23825	19	26	dissolved	dissolved	ADJ
fcis-23825	19	27	oxygen	oxygen	NOUN
fcis-23825	19	28	over	over	ADP
fcis-23825	19	29	a	a	DET
fcis-23825	19	30	period	period	NOUN
fcis-23825	19	31	of	of	ADP
fcis-23825	19	32	time	time	NOUN
fcis-23825	19	33	.	.	PUNCT
fcis-23825	20	1	in	in	ADP
fcis-23825	20	2	recent	recent	ADJ
fcis-23825	20	3	years	year	NOUN
fcis-23825	20	4	,	,	PUNCT
fcis-23825	20	5	multi	multi	ADJ
fcis-23825	20	6	-	-	ADJ
fcis-23825	20	7	step	step	ADJ
fcis-23825	20	8	forecasting	forecasting	NOUN
fcis-23825	20	9	strategies	strategy	NOUN
fcis-23825	20	10	have	have	AUX
fcis-23825	20	11	been	be	AUX
fcis-23825	20	12	widely	widely	ADV
fcis-23825	20	13	applied	apply	VERB
fcis-23825	20	14	in	in	ADP
fcis-23825	20	15	the	the	DET
fcis-23825	20	16	field	field	NOUN
fcis-23825	20	17	of	of	ADP
fcis-23825	20	18	predicting	predict	VERB
fcis-23825	20	19	(	(	PUNCT
fcis-23825	20	20	chandra	chandra	PROPN
fcis-23825	20	21	et	et	PROPN
fcis-23825	20	22	al	al	PROPN
fcis-23825	20	23	.	.	PROPN
fcis-23825	20	24	,	,	PUNCT
fcis-23825	20	25	2021	2021	NUM
fcis-23825	20	26	;	;	PUNCT
fcis-23825	20	27	abdellah	abdellah	PROPN
fcis-23825	20	28	et	et	PROPN
fcis-23825	20	29	al	al	PROPN
fcis-23825	20	30	.	.	PROPN
fcis-23825	20	31	,	,	PUNCT
fcis-23825	20	32	2019	2019	NUM
fcis-23825	20	33	;	;	PUNCT
fcis-23825	20	34	zhang	zhang	PROPN
fcis-23825	20	35	et	et	PROPN
fcis-23825	20	36	al	al	PROPN
fcis-23825	20	37	.	.	PROPN
fcis-23825	20	38	,	,	PUNCT
fcis-23825	20	39	2023	2023	NUM
fcis-23825	20	40	)	)	PUNCT
fcis-23825	20	41	.	.	PUNCT
fcis-23825	21	1	this	this	DET
fcis-23825	21	2	strategy	strategy	NOUN
fcis-23825	21	3	can	can	AUX
fcis-23825	21	4	predict	predict	VERB
fcis-23825	21	5	the	the	DET
fcis-23825	21	6	values	value	NOUN
fcis-23825	21	7	of	of	ADP
fcis-23825	21	8	future	future	ADJ
fcis-23825	21	9	time	time	NOUN
fcis-23825	21	10	steps	step	NOUN
fcis-23825	21	11	,	,	PUNCT
fcis-23825	21	12	outputting	output	VERB
fcis-23825	21	13	a	a	DET
fcis-23825	21	14	vector	vector	NOUN
fcis-23825	21	15	of	of	ADP
fcis-23825	21	16	values	value	NOUN
fcis-23825	21	17	.	.	PUNCT
fcis-23825	22	1	compared	compare	VERB
fcis-23825	22	2	to	to	ADP
fcis-23825	22	3	single	single	ADJ
fcis-23825	22	4	-	-	PUNCT
fcis-23825	22	5	step	step	NOUN
fcis-23825	22	6	prediction	prediction	NOUN
fcis-23825	22	7	,	,	PUNCT
fcis-23825	22	8	multi	multi	ADJ
fcis-23825	22	9	-	-	ADJ
fcis-23825	22	10	step	step	ADJ
fcis-23825	22	11	prediction	prediction	NOUN
fcis-23825	22	12	has	have	VERB
fcis-23825	22	13	a	a	DET
fcis-23825	22	14	wider	wide	ADJ
fcis-23825	22	15	application	application	NOUN
fcis-23825	22	16	scope	scope	NOUN
fcis-23825	22	17	as	as	SCONJ
fcis-23825	22	18	it	it	PRON
fcis-23825	22	19	can	can	AUX
fcis-23825	22	20	predict	predict	VERB
fcis-23825	22	21	the	the	DET
fcis-23825	22	22	values	value	NOUN
fcis-23825	22	23	of	of	ADP
fcis-23825	22	24	multiple	multiple	ADJ
fcis-23825	22	25	future	future	ADJ
fcis-23825	22	26	time	time	NOUN
fcis-23825	22	27	points	point	NOUN
fcis-23825	22	28	at	at	ADP
fcis-23825	22	29	once	once	ADV
fcis-23825	22	30	.	.	PUNCT
fcis-23825	23	1	multi	multi	ADJ
fcis-23825	23	2	-	-	ADJ
fcis-23825	23	3	step	step	ADJ
fcis-23825	23	4	prediction	prediction	NOUN
fcis-23825	23	5	strategies	strategy	NOUN
fcis-23825	23	6	include	include	VERB
fcis-23825	23	7	recursive	recursive	ADJ
fcis-23825	23	8	strategy	strategy	NOUN
fcis-23825	23	9	(	(	PUNCT
fcis-23825	23	10	recursion	recursion	NOUN
fcis-23825	23	11	)	)	PUNCT
fcis-23825	23	12	,	,	PUNCT
fcis-23825	23	13	direct	direct	ADJ
fcis-23825	23	14	strategy	strategy	NOUN
fcis-23825	23	15	(	(	PUNCT
fcis-23825	23	16	direct	direct	ADJ
fcis-23825	23	17	)	)	PUNCT
fcis-23825	23	18	,	,	PUNCT
fcis-23825	23	19	and	and	CCONJ
fcis-23825	23	20	multi	multi	ADJ
fcis-23825	23	21	-	-	ADJ
fcis-23825	23	22	input	input	ADJ
fcis-23825	23	23	multi	multi	ADJ
fcis-23825	23	24	-	-	ADJ
fcis-23825	23	25	output	output	ADJ
fcis-23825	23	26	strategy	strategy	NOUN
fcis-23825	23	27	(	(	PUNCT
fcis-23825	23	28	taieb	taieb	NOUN
fcis-23825	23	29	et	et	PROPN
fcis-23825	23	30	al	al	PROPN
fcis-23825	23	31	.	.	PROPN
fcis-23825	23	32	,	,	PUNCT
fcis-23825	23	33	2012	2012	NUM
fcis-23825	23	34	)	)	PUNCT
fcis-23825	23	35	.	.	PUNCT
fcis-23825	24	1	the	the	DET
fcis-23825	24	2	recursive	recursive	ADJ
fcis-23825	24	3	strategy	strategy	NOUN
fcis-23825	24	4	only	only	ADV
fcis-23825	24	5	builds	build	VERB
fcis-23825	24	6	a	a	DET
fcis-23825	24	7	single	single	ADJ
fcis-23825	24	8	-	-	PUNCT
fcis-23825	24	9	step	step	NOUN
fcis-23825	24	10	model	model	NOUN
fcis-23825	24	11	,	,	PUNCT
fcis-23825	24	12	which	which	PRON
fcis-23825	24	13	is	be	AUX
fcis-23825	24	14	simple	simple	ADJ
fcis-23825	24	15	and	and	CCONJ
fcis-23825	24	16	easy	easy	ADJ
fcis-23825	24	17	to	to	PART
fcis-23825	24	18	implement	implement	VERB
fcis-23825	24	19	.	.	PUNCT
fcis-23825	25	1	however	however	ADV
fcis-23825	25	2	,	,	PUNCT
fcis-23825	25	3	using	use	VERB
fcis-23825	25	4	the	the	DET
fcis-23825	25	5	predicted	predict	VERB
fcis-23825	25	6	value	value	NOUN
fcis-23825	25	7	as	as	ADP
fcis-23825	25	8	input	input	NOUN
fcis-23825	25	9	during	during	ADP
fcis-23825	25	10	the	the	DET
fcis-23825	25	11	recursive	recursive	ADJ
fcis-23825	25	12	process	process	NOUN
fcis-23825	25	13	will	will	AUX
fcis-23825	25	14	lead	lead	VERB
fcis-23825	25	15	to	to	ADP
fcis-23825	25	16	error	error	NOUN
fcis-23825	25	17	accumulation	accumulation	NOUN
fcis-23825	25	18	,	,	PUNCT
fcis-23825	25	19	especially	especially	ADV
fcis-23825	25	20	in	in	ADP
fcis-23825	25	21	cases	case	NOUN
fcis-23825	25	22	with	with	ADP
fcis-23825	25	23	long	long	ADJ
fcis-23825	25	24	time	time	NOUN
fcis-23825	25	25	steps	step	NOUN
fcis-23825	25	26	,	,	PUNCT
fcis-23825	25	27	resulting	result	VERB
fcis-23825	25	28	in	in	ADP
fcis-23825	25	29	decreased	decrease	VERB
fcis-23825	25	30	prediction	prediction	NOUN
fcis-23825	25	31	accuracy	accuracy	NOUN
fcis-23825	25	32	.	.	PUNCT
fcis-23825	26	1	the	the	DET
fcis-23825	26	2	direct	direct	ADJ
fcis-23825	26	3	strategy	strategy	NOUN
fcis-23825	26	4	avoids	avoid	VERB
fcis-23825	26	5	the	the	DET
fcis-23825	26	6	issue	issue	NOUN
fcis-23825	26	7	of	of	ADP
fcis-23825	26	8	error	error	NOUN
fcis-23825	26	9	accumulation	accumulation	NOUN
fcis-23825	26	10	in	in	ADP
fcis-23825	26	11	the	the	DET
fcis-23825	26	12	recursive	recursive	ADJ
fcis-23825	26	13	strategy	strategy	NOUN
fcis-23825	26	14	but	but	CCONJ
fcis-23825	26	15	requires	require	VERB
fcis-23825	26	16	the	the	DET
fcis-23825	26	17	establishment	establishment	NOUN
fcis-23825	26	18	of	of	ADP
fcis-23825	26	19	multiple	multiple	ADJ
fcis-23825	26	20	models	model	NOUN
fcis-23825	26	21	to	to	PART
fcis-23825	26	22	predict	predict	VERB
fcis-23825	26	23	the	the	DET
fcis-23825	26	24	values	value	NOUN
fcis-23825	26	25	of	of	ADP
fcis-23825	26	26	corresponding	corresponding	ADJ
fcis-23825	26	27	time	time	NOUN
fcis-23825	26	28	steps	step	NOUN
fcis-23825	26	29	,	,	PUNCT
fcis-23825	26	30	making	make	VERB
fcis-23825	26	31	it	it	PRON
fcis-23825	26	32	more	more	ADV
fcis-23825	26	33	complex	complex	ADJ
fcis-23825	26	34	.	.	PUNCT
fcis-23825	27	1	the	the	DET
fcis-23825	27	2	multi	multi	ADJ
fcis-23825	27	3	-	-	ADJ
fcis-23825	27	4	input	input	ADJ
fcis-23825	27	5	multi	multi	ADJ
fcis-23825	27	6	-	-	ADJ
fcis-23825	27	7	output	output	ADJ
fcis-23825	27	8	strategy	strategy	NOUN
fcis-23825	27	9	involves	involve	VERB
fcis-23825	27	10	building	build	VERB
fcis-23825	27	11	a	a	DET
fcis-23825	27	12	single	single	ADJ
fcis-23825	27	13	model	model	NOUN
fcis-23825	27	14	that	that	PRON
fcis-23825	27	15	outputs	output	VERB
fcis-23825	27	16	a	a	DET
fcis-23825	27	17	fixed	fix	VERB
fcis-23825	27	18	time	time	NOUN
fcis-23825	27	19	step	step	NOUN
fcis-23825	27	20	-	-	PUNCT
fcis-23825	27	21	length	length	NOUN
fcis-23825	27	22	prediction	prediction	NOUN
fcis-23825	27	23	vector	vector	NOUN
fcis-23825	27	24	.	.	PUNCT
fcis-23825	28	1	the	the	DET
fcis-23825	28	2	model	model	NOUN
fcis-23825	28	3	constructed	construct	VERB
fcis-23825	28	4	by	by	ADP
fcis-23825	28	5	the	the	DET
fcis-23825	28	6	multi	multi	ADJ
fcis-23825	28	7	-	-	ADJ
fcis-23825	28	8	input	input	ADJ
fcis-23825	28	9	multi	multi	ADJ
fcis-23825	28	10	-	-	ADJ
fcis-23825	28	11	output	output	ADJ
fcis-23825	28	12	strategy	strategy	NOUN
fcis-23825	28	13	needs	need	VERB
fcis-23825	28	14	to	to	PART
fcis-23825	28	15	learn	learn	VERB
fcis-23825	28	16	the	the	DET
fcis-23825	28	17	dependency	dependency	NOUN
fcis-23825	28	18	relationship	relationship	NOUN
fcis-23825	28	19	between	between	ADP
fcis-23825	28	20	the	the	DET
fcis-23825	28	21	multi	multi	ADJ
fcis-23825	28	22	-	-	ADJ
fcis-23825	28	23	input	input	ADJ
fcis-23825	28	24	data	datum	NOUN
fcis-23825	28	25	and	and	CCONJ
fcis-23825	28	26	the	the	DET
fcis-23825	28	27	output	output	NOUN
fcis-23825	28	28	result	result	NOUN
fcis-23825	28	29	vector	vector	NOUN
fcis-23825	28	30	,	,	PUNCT
fcis-23825	28	31	so	so	SCONJ
fcis-23825	28	32	the	the	DET
fcis-23825	28	33	fitting	fitting	ADJ
fcis-23825	28	34	speed	speed	NOUN
fcis-23825	28	35	of	of	ADP
fcis-23825	28	36	the	the	DET
fcis-23825	28	37	model	model	NOUN
fcis-23825	28	38	is	be	AUX
fcis-23825	28	39	slow	slow	ADJ
fcis-23825	28	40	.	.	PUNCT
fcis-23825	29	1	the	the	DET
fcis-23825	29	2	above	above	ADJ
fcis-23825	29	3	researches	research	NOUN
fcis-23825	29	4	prove	prove	VERB
fcis-23825	29	5	that	that	SCONJ
fcis-23825	29	6	the	the	DET
fcis-23825	29	7	lstm	lstm	ADJ
fcis-23825	29	8	combined	combine	VERB
fcis-23825	29	9	models	model	NOUN
fcis-23825	29	10	can	can	AUX
fcis-23825	29	11	fit	fit	VERB
fcis-23825	29	12	the	the	DET
fcis-23825	29	13	data	datum	NOUN
fcis-23825	29	14	very	very	ADV
fcis-23825	29	15	well	well	ADV
fcis-23825	29	16	,	,	PUNCT
fcis-23825	29	17	mine	mine	VERB
fcis-23825	29	18	the	the	DET
fcis-23825	29	19	relationship	relationship	NOUN
fcis-23825	29	20	between	between	ADP
fcis-23825	29	21	dissolved	dissolve	VERB
fcis-23825	29	22	oxygen	oxygen	NOUN
fcis-23825	29	23	and	and	CCONJ
fcis-23825	29	24	various	various	ADJ
fcis-23825	29	25	other	other	ADJ
fcis-23825	29	26	water	water	NOUN
fcis-23825	29	27	quality	quality	NOUN
fcis-23825	29	28	features	feature	NOUN
fcis-23825	29	29	,	,	PUNCT
fcis-23825	29	30	and	and	CCONJ
fcis-23825	29	31	exhibit	exhibit	VERB
fcis-23825	29	32	good	good	ADJ
fcis-23825	29	33	prediction	prediction	NOUN
fcis-23825	29	34	accuracy	accuracy	NOUN
fcis-23825	29	35	;	;	PUNCT
fcis-23825	29	36	although	although	SCONJ
fcis-23825	29	37	multi	multi	ADJ
fcis-23825	29	38	-	-	ADJ
fcis-23825	29	39	step	step	ADJ
fcis-23825	29	40	prediction	prediction	NOUN
fcis-23825	29	41	strategies	strategy	NOUN
fcis-23825	29	42	have	have	AUX
fcis-23825	29	43	been	be	AUX
fcis-23825	29	44	widely	widely	ADV
fcis-23825	29	45	applied	apply	VERB
fcis-23825	29	46	in	in	ADP
fcis-23825	29	47	other	other	ADJ
fcis-23825	29	48	research	research	NOUN
fcis-23825	29	49	areas	area	NOUN
fcis-23825	29	50	,	,	PUNCT
fcis-23825	29	51	their	their	PRON
fcis-23825	29	52	application	application	NOUN
fcis-23825	29	53	in	in	ADP
fcis-23825	29	54	dissolved	dissolve	VERB
fcis-23825	29	55	oxygen	oxygen	NOUN
fcis-23825	29	56	prediction	prediction	NOUN
fcis-23825	29	57	is	be	AUX
fcis-23825	29	58	relatively	relatively	ADV
fcis-23825	29	59	limited	limited	ADJ
fcis-23825	29	60	.	.	PUNCT
fcis-23825	30	1	based	base	VERB
fcis-23825	30	2	on	on	ADP
fcis-23825	30	3	the	the	DET
fcis-23825	30	4	above	above	ADJ
fcis-23825	30	5	research	research	NOUN
fcis-23825	30	6	,	,	PUNCT
fcis-23825	30	7	this	this	DET
fcis-23825	30	8	paper	paper	NOUN
fcis-23825	30	9	selects	select	VERB
fcis-23825	30	10	lstm	lstm	NOUN
fcis-23825	30	11	as	as	ADP
fcis-23825	30	12	the	the	DET
fcis-23825	30	13	prediction	prediction	NOUN
fcis-23825	30	14	model	model	NOUN
fcis-23825	30	15	and	and	CCONJ
fcis-23825	30	16	6	6	NUM
fcis-23825	30	17	combines	combine	VERB
fcis-23825	30	18	it	it	PRON
fcis-23825	30	19	with	with	ADP
fcis-23825	30	20	the	the	DET
fcis-23825	30	21	recursive	recursive	ADJ
fcis-23825	30	22	strategy	strategy	NOUN
fcis-23825	30	23	,	,	PUNCT
fcis-23825	30	24	direct	direct	ADJ
fcis-23825	30	25	strategy	strategy	NOUN
fcis-23825	30	26	,	,	PUNCT
fcis-23825	30	27	and	and	CCONJ
fcis-23825	30	28	multi	multi	ADJ
fcis-23825	30	29	-	-	ADJ
fcis-23825	30	30	input	input	ADJ
fcis-23825	30	31	multi	multi	ADJ
fcis-23825	30	32	-	-	ADJ
fcis-23825	30	33	output	output	ADJ
fcis-23825	30	34	strategy	strategy	NOUN
fcis-23825	30	35	respectively	respectively	ADV
fcis-23825	30	36	to	to	PART
fcis-23825	30	37	explore	explore	VERB
fcis-23825	30	38	the	the	DET
fcis-23825	30	39	multi	multi	ADJ
fcis-23825	30	40	-	-	ADJ
fcis-23825	30	41	step	step	ADJ
fcis-23825	30	42	prediction	prediction	NOUN
fcis-23825	30	43	methods	method	NOUN
fcis-23825	30	44	for	for	ADP
fcis-23825	30	45	dissolved	dissolved	ADJ
fcis-23825	30	46	oxygen	oxygen	NOUN
fcis-23825	30	47	.	.	PUNCT
fcis-23825	31	1	considering	consider	VERB
fcis-23825	31	2	the	the	DET
fcis-23825	31	3	complexity	complexity	NOUN
fcis-23825	31	4	introduced	introduce	VERB
fcis-23825	31	5	by	by	ADP
fcis-23825	31	6	using	use	VERB
fcis-23825	31	7	predicted	predict	VERB
fcis-23825	31	8	values	value	NOUN
fcis-23825	31	9	as	as	ADP
fcis-23825	31	10	inputs	input	NOUN
fcis-23825	31	11	in	in	ADP
fcis-23825	31	12	the	the	DET
fcis-23825	31	13	recursive	recursive	ADJ
fcis-23825	31	14	strategy	strategy	NOUN
fcis-23825	31	15	,	,	PUNCT
fcis-23825	31	16	this	this	DET
fcis-23825	31	17	study	study	NOUN
fcis-23825	31	18	only	only	ADV
fcis-23825	31	19	uses	use	VERB
fcis-23825	31	20	dissolved	dissolve	VERB
fcis-23825	31	21	oxygen	oxygen	NOUN
fcis-23825	31	22	features	feature	NOUN
fcis-23825	31	23	as	as	ADP
fcis-23825	31	24	training	training	NOUN
fcis-23825	31	25	samples	sample	NOUN
fcis-23825	31	26	to	to	PART
fcis-23825	31	27	simplify	simplify	VERB
fcis-23825	31	28	the	the	DET
fcis-23825	31	29	model	model	NOUN
fcis-23825	31	30	.	.	PUNCT
fcis-23825	32	1	considering	consider	VERB
fcis-23825	32	2	that	that	SCONJ
fcis-23825	32	3	the	the	DET
fcis-23825	32	4	input	input	NOUN
fcis-23825	32	5	values	value	NOUN
fcis-23825	32	6	of	of	ADP
fcis-23825	32	7	the	the	DET
fcis-23825	32	8	direct	direct	ADJ
fcis-23825	32	9	strategy	strategy	NOUN
fcis-23825	32	10	and	and	CCONJ
fcis-23825	32	11	multi	multi	ADJ
fcis-23825	32	12	-	-	ADJ
fcis-23825	32	13	input	input	ADJ
fcis-23825	32	14	multi	multi	ADJ
fcis-23825	32	15	-	-	ADJ
fcis-23825	32	16	output	output	ADJ
fcis-23825	32	17	strategy	strategy	NOUN
fcis-23825	32	18	are	be	AUX
fcis-23825	32	19	independent	independent	ADJ
fcis-23825	32	20	of	of	ADP
fcis-23825	32	21	the	the	DET
fcis-23825	32	22	predicted	predict	VERB
fcis-23825	32	23	values	value	NOUN
fcis-23825	32	24	,	,	PUNCT
fcis-23825	32	25	multiple	multiple	ADJ
fcis-23825	32	26	sets	set	NOUN
fcis-23825	32	27	of	of	ADP
fcis-23825	32	28	data	datum	NOUN
fcis-23825	32	29	features	feature	NOUN
fcis-23825	32	30	can	can	AUX
fcis-23825	32	31	be	be	AUX
fcis-23825	32	32	inputted	inputte	VERB
fcis-23825	32	33	.	.	PUNCT
fcis-23825	33	1	therefore	therefore	ADV
fcis-23825	33	2	,	,	PUNCT
fcis-23825	33	3	this	this	DET
fcis-23825	33	4	paper	paper	NOUN
fcis-23825	33	5	enhances	enhance	VERB
fcis-23825	33	6	the	the	DET
fcis-23825	33	7	prediction	prediction	NOUN
fcis-23825	33	8	accuracy	accuracy	NOUN
fcis-23825	33	9	of	of	ADP
fcis-23825	33	10	the	the	DET
fcis-23825	33	11	direct	direct	ADJ
fcis-23825	33	12	strategy	strategy	NOUN
fcis-23825	33	13	and	and	CCONJ
fcis-23825	33	14	multi	multi	ADJ
fcis-23825	33	15	-	-	ADJ
fcis-23825	33	16	input	input	ADJ
fcis-23825	33	17	multi	multi	ADJ
fcis-23825	33	18	-	-	ADJ
fcis-23825	33	19	output	output	ADJ
fcis-23825	33	20	strategy	strategy	NOUN
fcis-23825	33	21	by	by	ADP
fcis-23825	33	22	decomposing	decompose	VERB
fcis-23825	33	23	the	the	DET
fcis-23825	33	24	single	single	ADJ
fcis-23825	33	25	dissolved	dissolve	VERB
fcis-23825	33	26	oxygen	oxygen	NOUN
fcis-23825	33	27	time	time	NOUN
fcis-23825	33	28	series	series	PROPN
fcis-23825	33	29	using	use	VERB
fcis-23825	33	30	stl	stl	PROPN
fcis-23825	33	31	to	to	PART
fcis-23825	33	32	enhance	enhance	VERB
fcis-23825	33	33	the	the	DET
fcis-23825	33	34	features	feature	NOUN
fcis-23825	33	35	.	.	PUNCT
fcis-23825	34	1	finally	finally	ADV
fcis-23825	34	2	,	,	PUNCT
fcis-23825	34	3	this	this	DET
fcis-23825	34	4	study	study	NOUN
fcis-23825	34	5	combines	combine	VERB
fcis-23825	34	6	the	the	DET
fcis-23825	34	7	following	follow	VERB
fcis-23825	34	8	five	five	NUM
fcis-23825	34	9	models	model	NOUN
fcis-23825	34	10	:	:	PUNCT
fcis-23825	34	11	stl	stl	PROPN
fcis-23825	34	12	combined	combine	VERB
fcis-23825	34	13	with	with	ADP
fcis-23825	34	14	multi	multi	ADJ
fcis-23825	34	15	-	-	ADJ
fcis-23825	34	16	input	input	ADJ
fcis-23825	34	17	and	and	CCONJ
fcis-23825	34	18	multi	multi	ADJ
fcis-23825	34	19	-	-	ADJ
fcis-23825	34	20	output	output	ADJ
fcis-23825	34	21	strategy	strategy	NOUN
fcis-23825	34	22	and	and	CCONJ
fcis-23825	34	23	lstm	lstm	NOUN
fcis-23825	34	24	model	model	NOUN
fcis-23825	34	25	(	(	PUNCT
fcis-23825	34	26	stl	stl	PROPN
fcis-23825	34	27	-	-	PUNCT
fcis-23825	34	28	mimo	mimo	PROPN
fcis-23825	34	29	-	-	PUNCT
fcis-23825	34	30	lstm	lstm	PROPN
fcis-23825	34	31	)	)	PUNCT
fcis-23825	34	32	,	,	PUNCT
fcis-23825	34	33	multi	multi	ADJ
fcis-23825	34	34	-	-	ADJ
fcis-23825	34	35	input	input	ADJ
fcis-23825	34	36	and	and	CCONJ
fcis-23825	34	37	multi	multi	ADJ
fcis-23825	34	38	-	-	ADJ
fcis-23825	34	39	output	output	ADJ
fcis-23825	34	40	strategy	strategy	NOUN
fcis-23825	34	41	combined	combine	VERB
fcis-23825	34	42	with	with	ADP
fcis-23825	34	43	lstm	lstm	NOUN
fcis-23825	34	44	model	model	NOUN
fcis-23825	34	45	(	(	PUNCT
fcis-23825	34	46	mimo	mimo	PROPN
fcis-23825	34	47	-	-	PUNCT
fcis-23825	34	48	lstm	lstm	PROPN
fcis-23825	34	49	)	)	PUNCT
fcis-23825	34	50	,	,	PUNCT
fcis-23825	34	51	stl	stl	PROPN
fcis-23825	34	52	combined	combine	VERB
fcis-23825	34	53	with	with	ADP
fcis-23825	34	54	direct	direct	ADJ
fcis-23825	34	55	strategy	strategy	NOUN
fcis-23825	34	56	and	and	CCONJ
fcis-23825	34	57	lstm	lstm	NOUN
fcis-23825	34	58	model	model	NOUN
fcis-23825	34	59	(	(	PUNCT
fcis-23825	34	60	stl	stl	PROPN
fcis-23825	34	61	-	-	PUNCT
fcis-23825	34	62	direct	direct	ADJ
fcis-23825	34	63	-	-	PUNCT
fcis-23825	34	64	lstm	lstm	NOUN
fcis-23825	34	65	)	)	PUNCT
fcis-23825	34	66	,	,	PUNCT
fcis-23825	34	67	direct	direct	ADJ
fcis-23825	34	68	strategy	strategy	NOUN
fcis-23825	34	69	combined	combine	VERB
fcis-23825	34	70	with	with	ADP
fcis-23825	34	71	lstm	lstm	NOUN
fcis-23825	34	72	model	model	NOUN
fcis-23825	34	73	(	(	PUNCT
fcis-23825	34	74	direct	direct	ADJ
fcis-23825	34	75	-	-	PUNCT
fcis-23825	34	76	lstm	lstm	NOUN
fcis-23825	34	77	)	)	PUNCT
fcis-23825	34	78	,	,	PUNCT
fcis-23825	34	79	and	and	CCONJ
fcis-23825	34	80	recursive	recursive	ADJ
fcis-23825	34	81	strategy	strategy	NOUN
fcis-23825	34	82	combined	combine	VERB
fcis-23825	34	83	with	with	ADP
fcis-23825	34	84	lstm	lstm	NOUN
fcis-23825	34	85	model	model	NOUN
fcis-23825	34	86	(	(	PUNCT
fcis-23825	34	87	recursion	recursion	NOUN
fcis-23825	34	88	-	-	PUNCT
fcis-23825	34	89	lstm	lstm	NOUN
fcis-23825	34	90	)	)	PUNCT
fcis-23825	34	91	.	.	PUNCT
fcis-23825	35	1	by	by	ADP
fcis-23825	35	2	comparing	compare	VERB
fcis-23825	35	3	and	and	CCONJ
fcis-23825	35	4	analyzing	analyze	VERB
fcis-23825	35	5	the	the	DET
fcis-23825	35	6	prediction	prediction	NOUN
fcis-23825	35	7	accuracy	accuracy	NOUN
fcis-23825	35	8	and	and	CCONJ
fcis-23825	35	9	decay	decay	NOUN
fcis-23825	35	10	rate	rate	NOUN
fcis-23825	35	11	of	of	ADP
fcis-23825	35	12	prediction	prediction	NOUN
fcis-23825	35	13	accuracy	accuracy	NOUN
fcis-23825	35	14	for	for	ADP
fcis-23825	35	15	the	the	DET
fcis-23825	35	16	next	next	ADJ
fcis-23825	35	17	four	four	NUM
fcis-23825	35	18	time	time	NOUN
fcis-23825	35	19	steps	step	NOUN
fcis-23825	35	20	among	among	ADP
fcis-23825	35	21	these	these	DET
fcis-23825	35	22	five	five	NUM
fcis-23825	35	23	models	model	NOUN
fcis-23825	35	24	,	,	PUNCT
fcis-23825	35	25	this	this	DET
fcis-23825	35	26	study	study	NOUN
fcis-23825	35	27	aims	aim	VERB
fcis-23825	35	28	to	to	PART
fcis-23825	35	29	explore	explore	VERB
fcis-23825	35	30	a	a	DET
fcis-23825	35	31	high	high	ADJ
fcis-23825	35	32	-	-	PUNCT
fcis-23825	35	33	accuracy	accuracy	NOUN
fcis-23825	35	34	and	and	CCONJ
fcis-23825	35	35	stable	stable	ADJ
fcis-23825	35	36	method	method	NOUN
fcis-23825	35	37	for	for	ADP
fcis-23825	35	38	the	the	DET
fcis-23825	35	39	multi	multi	ADJ
fcis-23825	35	40	-	-	ADJ
fcis-23825	35	41	step	step	ADJ
fcis-23825	35	42	prediction	prediction	NOUN
fcis-23825	35	43	of	of	ADP
fcis-23825	35	44	dissolved	dissolved	ADJ
fcis-23825	35	45	oxygen	oxygen	NOUN
fcis-23825	35	46	.	.	PUNCT
fcis-23825	36	1	2	2	X
fcis-23825	36	2	.	.	X
fcis-23825	36	3	materials	material	NOUN
fcis-23825	36	4	and	and	CCONJ
fcis-23825	36	5	methods	method	NOUN
fcis-23825	36	6	2.1	2.1	NUM
fcis-23825	36	7	.	.	PUNCT
fcis-23825	37	1	dissolved	dissolve	VERB
fcis-23825	37	2	oxygen	oxygen	NOUN
fcis-23825	37	3	dataset	dataset	VERB
fcis-23825	37	4	the	the	DET
fcis-23825	37	5	experimental	experimental	ADJ
fcis-23825	37	6	data	datum	NOUN
fcis-23825	37	7	in	in	ADP
fcis-23825	37	8	this	this	DET
fcis-23825	37	9	paper	paper	NOUN
fcis-23825	37	10	comes	come	VERB
fcis-23825	37	11	from	from	ADP
fcis-23825	37	12	the	the	DET
fcis-23825	37	13	water	water	NOUN
fcis-23825	37	14	quality	quality	NOUN
fcis-23825	37	15	automatic	automatic	ADJ
fcis-23825	37	16	sampling	sampling	NOUN
fcis-23825	37	17	station	station	NOUN
fcis-23825	37	18	located	locate	VERB
fcis-23825	37	19	at	at	ADP
fcis-23825	37	20	the	the	DET
fcis-23825	37	21	changzhou	changzhou	PROPN
fcis-23825	37	22	section	section	NOUN
fcis-23825	37	23	of	of	ADP
fcis-23825	37	24	the	the	DET
fcis-23825	37	25	beijing	beijing	PROPN
fcis-23825	37	26	-	-	PUNCT
fcis-23825	37	27	hangzhou	hangzhou	PROPN
fcis-23825	37	28	grand	grand	ADJ
fcis-23825	37	29	canal	canal	NOUN
fcis-23825	37	30	.	.	PUNCT
fcis-23825	38	1	the	the	DET
fcis-23825	38	2	station	station	NOUN
fcis-23825	38	3	collects	collect	VERB
fcis-23825	38	4	one	one	NUM
fcis-23825	38	5	sample	sample	NOUN
fcis-23825	38	6	every	every	DET
fcis-23825	38	7	0.5	0.5	NUM
fcis-23825	38	8	hours	hour	NOUN
fcis-23825	38	9	.	.	PUNCT
fcis-23825	39	1	the	the	DET
fcis-23825	39	2	samples	sample	NOUN
fcis-23825	39	3	from	from	ADP
fcis-23825	39	4	january	january	PROPN
fcis-23825	39	5	2018	2018	NUM
fcis-23825	39	6	to	to	ADP
fcis-23825	39	7	december	december	PROPN
fcis-23825	39	8	2019	2019	NUM
fcis-23825	39	9	were	be	AUX
fcis-23825	39	10	selected	select	VERB
fcis-23825	39	11	as	as	ADP
fcis-23825	39	12	the	the	DET
fcis-23825	39	13	experimental	experimental	ADJ
fcis-23825	39	14	data	datum	NOUN
fcis-23825	39	15	,	,	PUNCT
fcis-23825	39	16	totaling	total	VERB
fcis-23825	39	17	34,640	34,640	NUM
fcis-23825	39	18	data	datum	NOUN
fcis-23825	39	19	samples	sample	NOUN
fcis-23825	39	20	the	the	DET
fcis-23825	39	21	dissolved	dissolve	VERB
fcis-23825	39	22	oxygen	oxygen	NOUN
fcis-23825	39	23	time	time	NOUN
fcis-23825	39	24	series	series	PROPN
fcis-23825	39	25	data	datum	NOUN
fcis-23825	39	26	before	before	ADP
fcis-23825	39	27	processing	processing	NOUN
fcis-23825	39	28	(	(	PUNCT
fcis-23825	39	29	upper	upper	ADJ
fcis-23825	39	30	figure	figure	NOUN
fcis-23825	39	31	)	)	PUNCT
fcis-23825	39	32	and	and	CCONJ
fcis-23825	39	33	after	after	ADP
fcis-23825	39	34	processing	processing	NOUN
fcis-23825	39	35	(	(	PUNCT
fcis-23825	39	36	lower	low	ADJ
fcis-23825	39	37	figure	figure	NOUN
fcis-23825	39	38	)	)	PUNCT
fcis-23825	39	39	are	be	AUX
fcis-23825	39	40	shown	show	VERB
fcis-23825	39	41	in	in	ADP
fcis-23825	39	42	figure	figure	NOUN
fcis-23825	39	43	1	1	NUM
fcis-23825	39	44	.	.	PUNCT
fcis-23825	39	45	fig	fig	NOUN
fcis-23825	39	46	1	1	NUM
fcis-23825	39	47	.	.	PUNCT
fcis-23825	40	1	dissolved	dissolve	VERB
fcis-23825	40	2	oxygen	oxygen	NOUN
fcis-23825	40	3	time	time	NOUN
fcis-23825	40	4	series	series	NOUN
fcis-23825	40	5	before	before	ADP
fcis-23825	40	6	and	and	CCONJ
fcis-23825	40	7	after	after	ADP
fcis-23825	40	8	processing	process	VERB
fcis-23825	40	9	due	due	ADP
fcis-23825	40	10	to	to	ADP
fcis-23825	40	11	the	the	DET
fcis-23825	40	12	influence	influence	NOUN
fcis-23825	40	13	of	of	ADP
fcis-23825	40	14	force	force	NOUN
fcis-23825	40	15	majeure	majeure	NOUN
fcis-23825	40	16	factors	factor	NOUN
fcis-23825	40	17	such	such	ADJ
fcis-23825	40	18	as	as	ADP
fcis-23825	40	19	equipment	equipment	NOUN
fcis-23825	40	20	failure	failure	NOUN
fcis-23825	40	21	and	and	CCONJ
fcis-23825	40	22	abnormal	abnormal	ADJ
fcis-23825	40	23	weather	weather	NOUN
fcis-23825	40	24	,	,	PUNCT
fcis-23825	40	25	some	some	DET
fcis-23825	40	26	abnormal	abnormal	ADJ
fcis-23825	40	27	points	point	NOUN
fcis-23825	40	28	may	may	AUX
fcis-23825	40	29	appear	appear	VERB
fcis-23825	40	30	in	in	ADP
fcis-23825	40	31	the	the	DET
fcis-23825	40	32	dissolved	dissolve	VERB
fcis-23825	40	33	oxygen	oxygen	NOUN
fcis-23825	40	34	time	time	NOUN
fcis-23825	40	35	series	series	NOUN
fcis-23825	40	36	.	.	PUNCT
fcis-23825	41	1	in	in	ADP
fcis-23825	41	2	this	this	DET
fcis-23825	41	3	study	study	NOUN
fcis-23825	41	4	,	,	PUNCT
fcis-23825	41	5	the	the	DET
fcis-23825	41	6	outliers	outlier	NOUN
fcis-23825	41	7	were	be	AUX
fcis-23825	41	8	removed	remove	VERB
fcis-23825	41	9	using	use	VERB
fcis-23825	41	10	the	the	DET
fcis-23825	41	11	boxplot	boxplot	NOUN
fcis-23825	41	12	algorithm	algorithm	NOUN
fcis-23825	41	13	,	,	PUNCT
fcis-23825	41	14	and	and	CCONJ
fcis-23825	41	15	linear	linear	ADJ
fcis-23825	41	16	interpolation	interpolation	NOUN
fcis-23825	41	17	was	be	AUX
fcis-23825	41	18	used	use	VERB
fcis-23825	41	19	to	to	PART
fcis-23825	41	20	fill	fill	VERB
fcis-23825	41	21	in	in	ADP
fcis-23825	41	22	the	the	DET
fcis-23825	41	23	missing	miss	VERB
fcis-23825	41	24	values	value	NOUN
fcis-23825	41	25	.	.	PUNCT
fcis-23825	42	1	the	the	DET
fcis-23825	42	2	dissolved	dissolve	VERB
fcis-23825	42	3	oxygen	oxygen	NOUN
fcis-23825	42	4	time	time	NOUN
fcis-23825	42	5	series	series	NOUN
fcis-23825	42	6	after	after	SCONJ
fcis-23825	42	7	processing	processing	NOUN
fcis-23825	42	8	is	be	AUX
fcis-23825	42	9	shown	show	VERB
fcis-23825	42	10	in	in	ADP
fcis-23825	42	11	the	the	DET
fcis-23825	42	12	lower	low	ADJ
fcis-23825	42	13	panel	panel	NOUN
fcis-23825	42	14	of	of	ADP
fcis-23825	42	15	figure	figure	NOUN
fcis-23825	42	16	1	1	NUM
fcis-23825	42	17	.	.	PUNCT
fcis-23825	43	1	it	it	PRON
fcis-23825	43	2	can	can	AUX
fcis-23825	43	3	be	be	AUX
fcis-23825	43	4	seen	see	VERB
fcis-23825	43	5	from	from	ADP
fcis-23825	43	6	the	the	DET
fcis-23825	43	7	figure	figure	NOUN
fcis-23825	43	8	that	that	SCONJ
fcis-23825	43	9	the	the	DET
fcis-23825	43	10	fluctuation	fluctuation	NOUN
fcis-23825	43	11	range	range	NOUN
fcis-23825	43	12	of	of	ADP
fcis-23825	43	13	most	most	ADV
fcis-23825	43	14	dissolved	dissolved	ADJ
fcis-23825	43	15	oxygen	oxygen	NOUN
fcis-23825	43	16	concentrations	concentration	NOUN
fcis-23825	43	17	is	be	AUX
fcis-23825	43	18	between	between	ADP
fcis-23825	43	19	4	4	NUM
fcis-23825	43	20	and	and	CCONJ
fcis-23825	43	21	15	15	NUM
fcis-23825	43	22	(	(	PUNCT
fcis-23825	43	23	mg·l-1	mg·l-1	PROPN
fcis-23825	43	24	)	)	PUNCT
fcis-23825	43	25	,	,	PUNCT
fcis-23825	43	26	which	which	PRON
fcis-23825	43	27	is	be	AUX
fcis-23825	43	28	within	within	ADP
fcis-23825	43	29	the	the	DET
fcis-23825	43	30	normal	normal	ADJ
fcis-23825	43	31	range	range	NOUN
fcis-23825	43	32	of	of	ADP
fcis-23825	43	33	fluctuations	fluctuation	NOUN
fcis-23825	43	34	.	.	PUNCT
fcis-23825	44	1	the	the	DET
fcis-23825	44	2	dissolved	dissolve	VERB
fcis-23825	44	3	oxygen	oxygen	NOUN
fcis-23825	44	4	concentration	concentration	NOUN
fcis-23825	44	5	was	be	AUX
fcis-23825	44	6	generally	generally	ADV
fcis-23825	44	7	high	high	ADJ
fcis-23825	44	8	with	with	ADP
fcis-23825	44	9	small	small	ADJ
fcis-23825	44	10	fluctuations	fluctuation	NOUN
fcis-23825	44	11	from	from	ADP
fcis-23825	44	12	january	january	PROPN
fcis-23825	44	13	to	to	ADP
fcis-23825	44	14	april	april	PROPN
fcis-23825	44	15	and	and	CCONJ
fcis-23825	44	16	october	october	PROPN
fcis-23825	44	17	to	to	ADP
fcis-23825	44	18	december	december	PROPN
fcis-23825	44	19	,	,	PUNCT
fcis-23825	44	20	while	while	SCONJ
fcis-23825	44	21	it	it	PRON
fcis-23825	44	22	was	be	AUX
fcis-23825	44	23	low	low	ADJ
fcis-23825	44	24	with	with	ADP
fcis-23825	44	25	large	large	ADJ
fcis-23825	44	26	fluctuations	fluctuation	NOUN
fcis-23825	44	27	from	from	ADP
fcis-23825	44	28	may	may	PROPN
fcis-23825	44	29	to	to	ADP
fcis-23825	44	30	september	september	PROPN
fcis-23825	44	31	.	.	PUNCT
fcis-23825	45	1	overall	overall	ADV
fcis-23825	45	2	,	,	PUNCT
fcis-23825	45	3	the	the	DET
fcis-23825	45	4	dissolved	dissolve	VERB
fcis-23825	45	5	oxygen	oxygen	NOUN
fcis-23825	45	6	time	time	NOUN
fcis-23825	45	7	series	series	PROPN
fcis-23825	45	8	data	data	PROPN
fcis-23825	45	9	does	do	AUX
fcis-23825	45	10	not	not	PART
fcis-23825	45	11	exhibit	exhibit	VERB
fcis-23825	45	12	a	a	DET
fcis-23825	45	13	specific	specific	ADJ
fcis-23825	45	14	fluctuation	fluctuation	NOUN
fcis-23825	45	15	pattern	pattern	NOUN
fcis-23825	45	16	and	and	CCONJ
fcis-23825	45	17	show	show	VERB
fcis-23825	45	18	characteristics	characteristic	NOUN
fcis-23825	45	19	of	of	ADP
fcis-23825	45	20	nonlinear	nonlinear	ADJ
fcis-23825	45	21	changes	change	NOUN
fcis-23825	45	22	.	.	PUNCT
fcis-23825	46	1	2.2	2.2	NUM
fcis-23825	46	2	.	.	PUNCT
fcis-23825	47	1	stl	stl	PROPN
fcis-23825	47	2	stl	stl	PROPN
fcis-23825	47	3	is	be	AUX
fcis-23825	47	4	an	an	DET
fcis-23825	47	5	algorithm	algorithm	NOUN
fcis-23825	47	6	based	base	VERB
fcis-23825	47	7	on	on	ADP
fcis-23825	47	8	the	the	DET
fcis-23825	47	9	locally	locally	ADV
fcis-23825	47	10	weighted	weight	VERB
fcis-23825	47	11	regression	regression	NOUN
fcis-23825	47	12	scatterplot	scatterplot	NOUN
fcis-23825	47	13	smoothing	smoothing	NOUN
fcis-23825	47	14	(	(	PUNCT
fcis-23825	47	15	loess	loess	NOUN
fcis-23825	47	16	)	)	PUNCT
fcis-23825	47	17	method	method	NOUN
fcis-23825	47	18	,	,	PUNCT
fcis-23825	47	19	used	use	VERB
fcis-23825	47	20	to	to	PART
fcis-23825	47	21	decompose	decompose	VERB
fcis-23825	47	22	a	a	DET
fcis-23825	47	23	time	time	NOUN
fcis-23825	47	24	series	series	NOUN
fcis-23825	47	25	into	into	ADP
fcis-23825	47	26	trend	trend	NOUN
fcis-23825	47	27	,	,	PUNCT
fcis-23825	47	28	seasonal	seasonal	ADJ
fcis-23825	47	29	,	,	PUNCT
fcis-23825	47	30	and	and	CCONJ
fcis-23825	47	31	residual	residual	ADJ
fcis-23825	47	32	components	component	NOUN
fcis-23825	47	33	.	.	PUNCT
fcis-23825	48	1	stl	stl	PROPN
fcis-23825	48	2	consists	consist	VERB
fcis-23825	48	3	of	of	ADP
fcis-23825	48	4	an	an	DET
fcis-23825	48	5	inner	inner	ADJ
fcis-23825	48	6	loop	loop	NOUN
fcis-23825	48	7	and	and	CCONJ
fcis-23825	48	8	an	an	DET
fcis-23825	48	9	outer	outer	ADJ
fcis-23825	48	10	loop	loop	NOUN
fcis-23825	48	11	,	,	PUNCT
fcis-23825	48	12	where	where	SCONJ
fcis-23825	48	13	the	the	DET
fcis-23825	48	14	inner	inner	ADJ
fcis-23825	48	15	loop	loop	NOUN
fcis-23825	48	16	updates	update	VERB
fcis-23825	48	17	the	the	DET
fcis-23825	48	18	time	time	NOUN
fcis-23825	48	19	series	series	PROPN
fcis-23825	48	20	,	,	PUNCT
fcis-23825	48	21	trend	trend	NOUN
fcis-23825	48	22	component	component	NOUN
fcis-23825	48	23	,	,	PUNCT
fcis-23825	48	24	and	and	CCONJ
fcis-23825	48	25	seasonal	seasonal	ADJ
fcis-23825	48	26	component	component	NOUN
fcis-23825	48	27	,	,	PUNCT
fcis-23825	48	28	while	while	SCONJ
fcis-23825	48	29	the	the	DET
fcis-23825	48	30	outer	outer	ADJ
fcis-23825	48	31	loop	loop	NOUN
fcis-23825	48	32	handles	handle	VERB
fcis-23825	48	33	the	the	DET
fcis-23825	48	34	exceptional	exceptional	ADJ
fcis-23825	48	35	residual	residual	ADJ
fcis-23825	48	36	values	value	NOUN
fcis-23825	48	37	during	during	ADP
fcis-23825	48	38	the	the	DET
fcis-23825	48	39	inner	inner	ADJ
fcis-23825	48	40	loop	loop	NOUN
fcis-23825	48	41	process	process	NOUN
fcis-23825	48	42	.	.	PUNCT
fcis-23825	49	1	the	the	DET
fcis-23825	49	2	algorithm	algorithm	NOUN
fcis-23825	49	3	is	be	AUX
fcis-23825	49	4	described	describe	VERB
fcis-23825	49	5	as	as	ADP
fcis-23825	49	6	follows	follow	VERB
fcis-23825	49	7	(	(	PUNCT
fcis-23825	49	8	qin	qin	INTJ
fcis-23825	49	9	et	et	PROPN
fcis-23825	49	10	al	al	PROPN
fcis-23825	49	11	.	.	PROPN
fcis-23825	49	12	,	,	PUNCT
fcis-23825	49	13	2019	2019	NUM
fcis-23825	49	14	):	):	PUNCT
fcis-23825	49	15	,	,	PUNCT
fcis-23825	49	16	1	1	NUM
fcis-23825	49	17	,	,	PUNCT
fcis-23825	49	18	2	2	NUM
fcis-23825	49	19	,	,	PUNCT
fcis-23825	49	20	,	,	PUNCT
fcis-23825	49	21	t	t	PROPN
fcis-23825	49	22	t	t	PROPN
fcis-23825	49	23	t	t	PROPN
fcis-23825	49	24	tx	tx	PROPN
fcis-23825	49	25	t	t	PROPN
fcis-23825	49	26	s	s	PART
fcis-23825	49	27	r	r	NOUN
fcis-23825	49	28	t	t	PROPN
fcis-23825	49	29	n	n	PROPN
fcis-23825	49	30			ADV
fcis-23825	49	31			X
fcis-23825	49	32			PROPN
fcis-23825	49	33			NOUN
fcis-23825	49	34	(	(	PUNCT
fcis-23825	49	35	1	1	NUM
fcis-23825	49	36	)	)	PUNCT
fcis-23825	49	37	in	in	ADP
fcis-23825	49	38	the	the	DET
fcis-23825	49	39	formula	formula	NOUN
fcis-23825	49	40	:	:	PUNCT
fcis-23825	49	41	tx	tx	INTJ
fcis-23825	49	42	,	,	PUNCT
fcis-23825	49	43	tt	tt	X
fcis-23825	49	44	,	,	PUNCT
fcis-23825	49	45	ts	ts	ADP
fcis-23825	49	46	,	,	PUNCT
fcis-23825	49	47	and	and	CCONJ
fcis-23825	49	48	tr	tr	VERB
fcis-23825	49	49	represent	represent	VERB
fcis-23825	49	50	the	the	DET
fcis-23825	49	51	true	true	ADJ
fcis-23825	49	52	,	,	PUNCT
fcis-23825	49	53	trend	trend	NOUN
fcis-23825	49	54	,	,	PUNCT
fcis-23825	49	55	seasonal	seasonal	ADJ
fcis-23825	49	56	,	,	PUNCT
fcis-23825	49	57	and	and	CCONJ
fcis-23825	49	58	residual	residual	ADJ
fcis-23825	49	59	values	value	NOUN
fcis-23825	49	60	of	of	ADP
fcis-23825	49	61	the	the	DET
fcis-23825	49	62	time	time	NOUN
fcis-23825	49	63	series	series	NOUN
fcis-23825	49	64	,	,	PUNCT
fcis-23825	49	65	respectively	respectively	ADV
fcis-23825	49	66	.	.	PUNCT
fcis-23825	50	1	the	the	DET
fcis-23825	50	2	loop	loop	NOUN
fcis-23825	50	3	iteration	iteration	NOUN
fcis-23825	50	4	process	process	NOUN
fcis-23825	50	5	is	be	AUX
fcis-23825	50	6	as	as	SCONJ
fcis-23825	50	7	follows	follow	VERB
fcis-23825	50	8	:	:	PUNCT
fcis-23825	50	9	(	(	PUNCT
fcis-23825	50	10	1	1	X
fcis-23825	50	11	)	)	PUNCT
fcis-23825	50	12	initialize	initialize	VERB
fcis-23825	50	13	the	the	DET
fcis-23825	50	14	iteration	iteration	NOUN
fcis-23825	50	15	variables	variable	NOUN
fcis-23825	50	16	,	,	PUNCT
fcis-23825	50	17	0k	0k	NOUN
fcis-23825	50	18			NOUN
fcis-23825	50	19	,	,	PUNCT
fcis-23825	50	20	0k	0k	NOUN
fcis-23825	50	21	tt	tt	PROPN
fcis-23825	50	22			PROPN
fcis-23825	50	23	.	.	PUNCT
fcis-23825	51	1	(	(	PUNCT
fcis-23825	51	2	2	2	X
fcis-23825	51	3	)	)	PUNCT
fcis-23825	51	4	detrend	detrend	ADP
fcis-23825	51	5	the	the	DET
fcis-23825	51	6	time	time	NOUN
fcis-23825	51	7	series	series	NOUN
fcis-23825	51	8	,	,	PUNCT
fcis-23825	51	9	k	k	PROPN
fcis-23825	51	10	t	t	PROPN
fcis-23825	51	11	tx	tx	PROPN
fcis-23825	51	12	t	t	PROPN
fcis-23825	51	13	.	.	PUNCT
fcis-23825	52	1	(	(	PUNCT
fcis-23825	52	2	3	3	X
fcis-23825	52	3	)	)	PUNCT
fcis-23825	52	4	loess	loess	NOUN
fcis-23825	52	5	smoothing	smoothing	NOUN
fcis-23825	52	6	is	be	AUX
fcis-23825	52	7	performed	perform	VERB
fcis-23825	52	8	on	on	ADP
fcis-23825	52	9	each	each	DET
fcis-23825	52	10	detrended	detrende	VERB
fcis-23825	52	11	seasonal	seasonal	ADJ
fcis-23825	52	12	subseries	subserie	NOUN
fcis-23825	52	13	to	to	PART
fcis-23825	52	14	obtain	obtain	VERB
fcis-23825	52	15	the	the	DET
fcis-23825	52	16	smoothed	smooth	VERB
fcis-23825	52	17	temporary	temporary	ADJ
fcis-23825	52	18	seasonal	seasonal	ADJ
fcis-23825	52	19	series	series	NOUN
fcis-23825	52	20	1k	1k	PROPN
fcis-23825	52	21	tc	tc	PROPN
fcis-23825	52	22			PUNCT
fcis-23825	52	23	.	.	PUNCT
fcis-23825	53	1	(	(	PUNCT
fcis-23825	53	2	4	4	X
fcis-23825	53	3	)	)	PUNCT
fcis-23825	53	4	apply	apply	VERB
fcis-23825	53	5	low	low	ADJ
fcis-23825	53	6	-	-	PUNCT
fcis-23825	53	7	pass	pass	NOUN
fcis-23825	53	8	filtering	filtering	NOUN
fcis-23825	53	9	to	to	ADP
fcis-23825	53	10	the	the	DET
fcis-23825	53	11	smoothed	smooth	VERB
fcis-23825	53	12	subseries	subserie	NOUN
fcis-23825	53	13	:	:	PUNCT
fcis-23825	53	14	perform	perform	VERB
fcis-23825	53	15	3	3	NUM
fcis-23825	53	16	iterations	iteration	NOUN
fcis-23825	53	17	of	of	ADP
fcis-23825	53	18	moving	move	VERB
fcis-23825	53	19	average	average	ADJ
fcis-23825	53	20	and	and	CCONJ
fcis-23825	53	21	1	1	NUM
fcis-23825	53	22	iteration	iteration	NOUN
fcis-23825	53	23	of	of	ADP
fcis-23825	53	24	loess	loess	NOUN
fcis-23825	53	25	on	on	ADP
fcis-23825	53	26	1k	1k	PROPN
fcis-23825	53	27	tc	tc	NOUN
fcis-23825	53	28			VERB
fcis-23825	53	29	to	to	PART
fcis-23825	53	30	obtain	obtain	VERB
fcis-23825	53	31	the	the	DET
fcis-23825	53	32	series	series	NOUN
fcis-23825	53	33	1k	1k	PROPN
fcis-23825	53	34	tl	tl	PROPN
fcis-23825	53	35			VERB
fcis-23825	53	36	.	.	PUNCT
fcis-23825	54	1	7	7	NUM
fcis-23825	54	2	(	(	PUNCT
fcis-23825	54	3	5	5	NUM
fcis-23825	54	4	)	)	PUNCT
fcis-23825	54	5	remove	remove	VERB
fcis-23825	54	6	the	the	DET
fcis-23825	54	7	trend	trend	NOUN
fcis-23825	54	8	from	from	ADP
fcis-23825	54	9	the	the	DET
fcis-23825	54	10	smoothed	smooth	VERB
fcis-23825	54	11	subseries	subserie	NOUN
fcis-23825	54	12	to	to	PART
fcis-23825	54	13	obtain	obtain	VERB
fcis-23825	54	14	the	the	DET
fcis-23825	54	15	seasonal	seasonal	ADJ
fcis-23825	54	16	component	component	NOUN
fcis-23825	54	17	,	,	PUNCT
fcis-23825	54	18	1	1	NUM
fcis-23825	54	19	1	1	NUM
fcis-23825	54	20	1k	1k	NUM
fcis-23825	54	21	k	k	PROPN
fcis-23825	54	22	k	k	PROPN
fcis-23825	54	23	t	t	PROPN
fcis-23825	54	24	t	t	PROPN
fcis-23825	54	25	ts	ts	ADP
fcis-23825	54	26	c	c	PROPN
fcis-23825	54	27	l	l	PROPN
fcis-23825	54	28			PROPN
fcis-23825	54	29			PROPN
fcis-23825	54	30			PROPN
fcis-23825	54	31	.	.	PUNCT
fcis-23825	55	1	(	(	PUNCT
fcis-23825	55	2	6	6	X
fcis-23825	55	3	)	)	PUNCT
fcis-23825	55	4	remove	remove	VERB
fcis-23825	55	5	the	the	DET
fcis-23825	55	6	seasonal	seasonal	ADJ
fcis-23825	55	7	component	component	NOUN
fcis-23825	55	8	,	,	PUNCT
fcis-23825	55	9	1k	1k	PROPN
fcis-23825	55	10	t	t	PROPN
fcis-23825	55	11	tx	tx	PROPN
fcis-23825	55	12	s	s	PART
fcis-23825	55	13			PROPN
fcis-23825	55	14	.	.	PUNCT
fcis-23825	56	1	(	(	PUNCT
fcis-23825	56	2	7	7	X
fcis-23825	56	3	)	)	PUNCT
fcis-23825	56	4	smooth	smooth	VERB
fcis-23825	56	5	the	the	DET
fcis-23825	56	6	trend	trend	NOUN
fcis-23825	56	7	:	:	PUNCT
fcis-23825	56	8	apply	apply	VERB
fcis-23825	56	9	the	the	DET
fcis-23825	56	10	loess	loess	NOUN
fcis-23825	56	11	process	process	NOUN
fcis-23825	56	12	on	on	ADP
fcis-23825	56	13	1k	1k	PROPN
fcis-23825	56	14	t	t	PROPN
fcis-23825	56	15	tx	tx	PROPN
fcis-23825	56	16	s	s	PART
fcis-23825	56	17			PROPN
fcis-23825	56	18	remove	remove	VERB
fcis-23825	56	19	the	the	DET
fcis-23825	56	20	seasonal	seasonal	ADJ
fcis-23825	56	21	component	component	NOUN
fcis-23825	56	22	,	,	PUNCT
fcis-23825	56	23	and	and	CCONJ
fcis-23825	56	24	1k	1k	NUM
fcis-23825	56	25	tt	tt	PROPN
fcis-23825	56	26			ADV
fcis-23825	56	27	is	be	AUX
fcis-23825	56	28	obtained	obtain	VERB
fcis-23825	56	29	.	.	PUNCT
fcis-23825	57	1	(	(	PUNCT
fcis-23825	57	2	8)	8)	NUM
fcis-23825	57	3	termination	termination	NOUN
fcis-23825	57	4	condition	condition	NOUN
fcis-23825	57	5	check	check	NOUN
fcis-23825	57	6	:	:	PUNCT
fcis-23825	57	7	check	check	VERB
fcis-23825	57	8	if	if	SCONJ
fcis-23825	57	9	the	the	DET
fcis-23825	57	10	maximum	maximum	ADJ
fcis-23825	57	11	number	number	NOUN
fcis-23825	57	12	of	of	ADP
fcis-23825	57	13	iterations	iteration	NOUN
fcis-23825	57	14	or	or	CCONJ
fcis-23825	57	15	1k	1k	NUM
fcis-23825	57	16	tt	tt	PROPN
fcis-23825	57	17			ADV
fcis-23825	57	18	convergence	convergence	NOUN
fcis-23825	57	19	condition	condition	NOUN
fcis-23825	57	20	is	be	AUX
fcis-23825	57	21	satisfied	satisfied	ADJ
fcis-23825	57	22	.	.	PUNCT
fcis-23825	58	1	if	if	SCONJ
fcis-23825	58	2	the	the	DET
fcis-23825	58	3	conditions	condition	NOUN
fcis-23825	58	4	are	be	AUX
fcis-23825	58	5	met	meet	VERB
fcis-23825	58	6	,	,	PUNCT
fcis-23825	58	7	output	output	VERB
fcis-23825	58	8	the	the	DET
fcis-23825	58	9	stl	stl	PROPN
fcis-23825	58	10	decomposition	decomposition	NOUN
fcis-23825	58	11	results	result	VERB
fcis-23825	59	1	+1k	+1k	PRON
fcis-23825	59	2	t	t	X
fcis-23825	59	3	tt	tt	X
fcis-23825	59	4	t	t	PROPN
fcis-23825	59	5	,	,	PUNCT
fcis-23825	59	6	+1k	+1k	NUM
fcis-23825	59	7	t	t	NOUN
fcis-23825	59	8	ts	ts	X
fcis-23825	59	9	s	s	ADV
fcis-23825	59	10	,	,	PUNCT
fcis-23825	59	11	and	and	CCONJ
fcis-23825	59	12	t	t	PROPN
fcis-23825	59	13	t	t	PROPN
fcis-23825	59	14	t	t	PROPN
fcis-23825	60	1	tr	tr	NOUN
fcis-23825	60	2	x	x	PROPN
fcis-23825	60	3	s	s	PART
fcis-23825	60	4	t	t	PROPN
fcis-23825	60	5			PROPN
fcis-23825	60	6			PROPN
fcis-23825	60	7	are	be	AUX
fcis-23825	60	8	output	output	NOUN
fcis-23825	60	9	.	.	PUNCT
fcis-23825	61	1	if	if	SCONJ
fcis-23825	61	2	not	not	PART
fcis-23825	61	3	,	,	PUNCT
fcis-23825	61	4	repeate	repeate	VERB
fcis-23825	61	5	above	above	ADP
fcis-23825	61	6	steps	step	NOUN
fcis-23825	61	7	(	(	PUNCT
fcis-23825	61	8	2	2	NUM
fcis-23825	61	9	)	)	PUNCT
fcis-23825	61	10	to	to	ADP
fcis-23825	61	11	(	(	PUNCT
fcis-23825	61	12	8)	8)	NUM
fcis-23825	61	13	.	.	NOUN
fcis-23825	61	14	2.3	2.3	NUM
fcis-23825	61	15	.	.	PUNCT
fcis-23825	62	1	multi_step	multi_step	NOUN
fcis-23825	62	2	predicting	predict	VERB
fcis-23825	62	3	strategy	strategy	NOUN
fcis-23825	62	4	in	in	ADP
fcis-23825	62	5	time	time	NOUN
fcis-23825	62	6	series	series	PROPN
fcis-23825	62	7	predicting	predicting	NOUN
fcis-23825	62	8	,	,	PUNCT
fcis-23825	62	9	single	single	ADJ
fcis-23825	62	10	-	-	PUNCT
fcis-23825	62	11	step	step	NOUN
fcis-23825	62	12	prediction	prediction	NOUN
fcis-23825	62	13	methods	method	NOUN
fcis-23825	62	14	are	be	AUX
fcis-23825	62	15	unable	unable	ADJ
fcis-23825	62	16	to	to	PART
fcis-23825	62	17	capture	capture	VERB
fcis-23825	62	18	trend	trend	NOUN
fcis-23825	62	19	information	information	NOUN
fcis-23825	62	20	,	,	PUNCT
fcis-23825	62	21	so	so	CCONJ
fcis-23825	62	22	multi	multi	ADJ
fcis-23825	62	23	-	-	ADJ
fcis-23825	62	24	step	step	ADJ
fcis-23825	62	25	predicting	predicting	NOUN
fcis-23825	62	26	becomes	become	VERB
fcis-23825	62	27	an	an	DET
fcis-23825	62	28	important	important	ADJ
fcis-23825	62	29	method	method	NOUN
fcis-23825	62	30	to	to	PART
fcis-23825	62	31	obtain	obtain	VERB
fcis-23825	62	32	future	future	ADJ
fcis-23825	62	33	trend	trend	NOUN
fcis-23825	62	34	information	information	NOUN
fcis-23825	62	35	.	.	PUNCT
fcis-23825	63	1	the	the	DET
fcis-23825	63	2	multi	multi	ADJ
fcis-23825	63	3	-	-	ADJ
fcis-23825	63	4	step	step	ADJ
fcis-23825	63	5	prediction	prediction	NOUN
fcis-23825	63	6	goal	goal	NOUN
fcis-23825	63	7	is	be	AUX
fcis-23825	63	8	to	to	PART
fcis-23825	63	9	predict	predict	VERB
fcis-23825	63	10	the	the	DET
fcis-23825	63	11	time	time	NOUN
fcis-23825	63	12	series	series	NOUN
fcis-23825	63	13	1	1	NUM
fcis-23825	63	14	[	[	PUNCT
fcis-23825	63	15	,	,	PUNCT
fcis-23825	63	16	,	,	PUNCT
fcis-23825	63	17	]	]	PUNCT
fcis-23825	63	18	n	n	CCONJ
fcis-23825	63	19	n	n	ADV
fcis-23825	63	20	hx	hx	NOUN
fcis-23825	63	21	x	x	NOUN
fcis-23825	63	22			NOUN
fcis-23825	63	23	of	of	ADP
fcis-23825	63	24	the	the	DET
fcis-23825	63	25	next	next	ADJ
fcis-23825	63	26	h	h	NOUN
fcis-23825	63	27	steps	step	NOUN
fcis-23825	63	28	in	in	ADP
fcis-23825	63	29	the	the	DET
fcis-23825	63	30	future	future	NOUN
fcis-23825	63	31	based	base	VERB
fcis-23825	63	32	on	on	ADP
fcis-23825	63	33	the	the	DET
fcis-23825	63	34	historical	historical	ADJ
fcis-23825	63	35	time	time	NOUN
fcis-23825	63	36	series	series	PROPN
fcis-23825	63	37	1	1	NUM
fcis-23825	63	38	[	[	PUNCT
fcis-23825	63	39	,	,	PUNCT
fcis-23825	63	40	,	,	PUNCT
fcis-23825	63	41	]	]	X
fcis-23825	63	42	nx	nx	X
fcis-23825	63	43	x	x	PROPN
fcis-23825	63	44	,	,	PUNCT
fcis-23825	63	45	where	where	SCONJ
fcis-23825	63	46	n	n	PRON
fcis-23825	63	47	represents	represent	VERB
fcis-23825	63	48	the	the	DET
fcis-23825	63	49	number	number	NOUN
fcis-23825	63	50	of	of	ADP
fcis-23825	63	51	observed	observed	ADJ
fcis-23825	63	52	samples	sample	NOUN
fcis-23825	63	53	,	,	PUNCT
fcis-23825	63	54	and	and	CCONJ
fcis-23825	63	55	h	h	NOUN
fcis-23825	63	56	represents	represent	VERB
fcis-23825	63	57	the	the	DET
fcis-23825	63	58	number	number	NOUN
fcis-23825	63	59	of	of	ADP
fcis-23825	63	60	prediction	prediction	NOUN
fcis-23825	63	61	steps	step	NOUN
fcis-23825	63	62	.	.	PUNCT
fcis-23825	64	1	the	the	DET
fcis-23825	64	2	recursive	recursive	ADJ
fcis-23825	64	3	strategy	strategy	NOUN
fcis-23825	64	4	predicts	predict	VERB
fcis-23825	64	5	multiple	multiple	ADJ
fcis-23825	64	6	future	future	ADJ
fcis-23825	64	7	values	value	NOUN
fcis-23825	64	8	by	by	ADP
fcis-23825	64	9	recursively	recursively	ADV
fcis-23825	64	10	executing	execute	VERB
fcis-23825	64	11	a	a	DET
fcis-23825	64	12	single	single	ADJ
fcis-23825	64	13	-	-	PUNCT
fcis-23825	64	14	step	step	NOUN
fcis-23825	64	15	model	model	NOUN
fcis-23825	64	16	.	.	PUNCT
fcis-23825	65	1	specifically	specifically	ADV
fcis-23825	65	2	,	,	PUNCT
fcis-23825	65	3	the	the	DET
fcis-23825	65	4	single	single	ADJ
fcis-23825	65	5	-	-	PUNCT
fcis-23825	65	6	step	step	NOUN
fcis-23825	65	7	model	model	NOUN
fcis-23825	65	8	first	first	ADV
fcis-23825	65	9	predicts	predict	VERB
fcis-23825	65	10	the	the	DET
fcis-23825	65	11	value	value	NOUN
fcis-23825	65	12	of	of	ADP
fcis-23825	65	13	the	the	DET
fcis-23825	65	14	first	first	ADJ
fcis-23825	65	15	-	-	PUNCT
fcis-23825	65	16	time	time	NOUN
fcis-23825	65	17	step	step	NOUN
fcis-23825	65	18	,	,	PUNCT
fcis-23825	65	19	and	and	CCONJ
fcis-23825	65	20	then	then	ADV
fcis-23825	65	21	uses	use	VERB
fcis-23825	65	22	that	that	DET
fcis-23825	65	23	value	value	NOUN
fcis-23825	65	24	as	as	ADP
fcis-23825	65	25	an	an	DET
fcis-23825	65	26	input	input	NOUN
fcis-23825	65	27	value	value	NOUN
fcis-23825	65	28	to	to	PART
fcis-23825	65	29	predict	predict	VERB
fcis-23825	65	30	the	the	DET
fcis-23825	65	31	value	value	NOUN
fcis-23825	65	32	of	of	ADP
fcis-23825	65	33	the	the	DET
fcis-23825	65	34	second	second	ADJ
fcis-23825	65	35	time	time	NOUN
fcis-23825	65	36	step	step	NOUN
fcis-23825	65	37	,	,	PUNCT
fcis-23825	65	38	and	and	CCONJ
fcis-23825	65	39	realizes	realize	VERB
fcis-23825	65	40	multi	multi	ADJ
fcis-23825	65	41	-	-	ADJ
fcis-23825	65	42	step	step	ADJ
fcis-23825	65	43	prediction	prediction	NOUN
fcis-23825	65	44	by	by	ADP
fcis-23825	65	45	recursively	recursively	ADV
fcis-23825	65	46	multiple	multiple	ADJ
fcis-23825	65	47	times	time	NOUN
fcis-23825	65	48	.	.	PUNCT
fcis-23825	66	1	the	the	DET
fcis-23825	66	2	recursive	recursive	ADJ
fcis-23825	66	3	strategy	strategy	NOUN
fcis-23825	66	4	only	only	ADV
fcis-23825	66	5	builds	build	VERB
fcis-23825	66	6	a	a	DET
fcis-23825	66	7	single	single	ADJ
fcis-23825	66	8	-	-	PUNCT
fcis-23825	66	9	step	step	NOUN
fcis-23825	66	10	model	model	NOUN
fcis-23825	66	11	,	,	PUNCT
fcis-23825	66	12	and	and	CCONJ
fcis-23825	66	13	the	the	DET
fcis-23825	66	14	algorithm	algorithm	NOUN
fcis-23825	66	15	is	be	AUX
fcis-23825	66	16	simple	simple	ADJ
fcis-23825	66	17	and	and	CCONJ
fcis-23825	66	18	easy	easy	ADJ
fcis-23825	66	19	to	to	PART
fcis-23825	66	20	implement	implement	VERB
fcis-23825	66	21	.	.	PUNCT
fcis-23825	67	1	its	its	PRON
fcis-23825	67	2	construction	construction	NOUN
fcis-23825	67	3	and	and	CCONJ
fcis-23825	67	4	prediction	prediction	NOUN
fcis-23825	67	5	methods	method	NOUN
fcis-23825	67	6	are	be	AUX
fcis-23825	67	7	shown	show	VERB
fcis-23825	67	8	in	in	ADP
fcis-23825	67	9	formula	formula	NOUN
fcis-23825	67	10	2	2	NUM
fcis-23825	67	11	and	and	CCONJ
fcis-23825	67	12	formula	formula	NOUN
fcis-23825	67	13	3	3	NUM
fcis-23825	67	14	(	(	PUNCT
fcis-23825	67	15	taieb	taieb	PROPN
fcis-23825	67	16	et	et	PROPN
fcis-23825	67	17	al	al	PROPN
fcis-23825	67	18	.	.	PROPN
fcis-23825	67	19	,	,	PUNCT
fcis-23825	67	20	2012	2012	NUM
fcis-23825	67	21	):	):	PUNCT
fcis-23825	67	22	1	1	NUM
fcis-23825	67	23	1	1	NUM
fcis-23825	67	24	(	(	PUNCT
fcis-23825	67	25	,	,	PUNCT
fcis-23825	67	26	,	,	PUNCT
fcis-23825	67	27	)	)	PUNCT
fcis-23825	68	1	t	t	PROPN
fcis-23825	68	2	t	t	PROPN
fcis-23825	68	3	t	t	PROPN
fcis-23825	68	4	dx	dx	PROPN
fcis-23825	69	1	f	f	PROPN
fcis-23825	69	2	x	x	PROPN
fcis-23825	69	3	x	x	X
fcis-23825	69	4	w	w	PROPN
fcis-23825	69	5			PROPN
fcis-23825	69	6			ADV
fcis-23825	69	7			ADJ
fcis-23825	69	8	(	(	PUNCT
fcis-23825	69	9	2	2	NUM
fcis-23825	69	10	)	)	SYM
fcis-23825	69	11	1	1	NUM
fcis-23825	69	12	1	1	NUM
fcis-23825	69	13	1	1	NUM
fcis-23825	69	14	ˆ	ˆ	PROPN
fcis-23825	69	15	(	(	PUNCT
fcis-23825	69	16	,	,	PUNCT
fcis-23825	69	17	,	,	PUNCT
fcis-23825	69	18	)	)	PUNCT
fcis-23825	69	19	1	1	NUM
fcis-23825	69	20	ˆˆ	ˆˆ	PROPN
fcis-23825	69	21	ˆ	ˆ	PROPN
fcis-23825	69	22	(	(	PUNCT
fcis-23825	69	23	,	,	PUNCT
fcis-23825	69	24	,	,	PUNCT
fcis-23825	69	25	)	)	PUNCT
fcis-23825	70	1	[	[	X
fcis-23825	70	2	2	2	NUM
fcis-23825	70	3	,	,	PUNCT
fcis-23825	70	4	]	]	PUNCT
fcis-23825	71	1	ˆ	ˆ	PART
fcis-23825	71	2	ˆ	ˆ	NOUN
fcis-23825	71	3	ˆ	ˆ	ADJ
fcis-23825	71	4	(	(	PUNCT
fcis-23825	71	5	,	,	PUNCT
fcis-23825	71	6	,	,	PUNCT
fcis-23825	71	7	)	)	PUNCT
fcis-23825	71	8	[	[	PUNCT
fcis-23825	71	9	1	1	NUM
fcis-23825	71	10	,	,	PUNCT
fcis-23825	71	11	]	]	PUNCT
fcis-23825	71	12	n	n	CCONJ
fcis-23825	71	13	n	n	NOUN
fcis-23825	71	14	d	d	NOUN
fcis-23825	71	15	n	n	CCONJ
fcis-23825	71	16	h	h	NOUN
fcis-23825	71	17	n	n	ADP
fcis-23825	71	18	h	h	NOUN
fcis-23825	72	1	n	n	NOUN
fcis-23825	73	1	d	d	NOUN
fcis-23825	73	2	h	h	NOUN
fcis-23825	73	3	n	n	ADP
fcis-23825	73	4	h	h	NOUN
fcis-23825	74	1	n	n	NOUN
fcis-23825	74	2	d	d	NOUN
fcis-23825	74	3	h	h	NOUN
fcis-23825	75	1	f	f	NOUN
fcis-23825	75	2	x	x	PUNCT
fcis-23825	75	3	x	x	SYM
fcis-23825	75	4	h	h	NOUN
fcis-23825	75	5	x	x	X
fcis-23825	75	6	f	f	NOUN
fcis-23825	75	7	x	x	PUNCT
fcis-23825	76	1	x	x	SYM
fcis-23825	76	2	h	h	NOUN
fcis-23825	77	1	d	d	NOUN
fcis-23825	77	2	f	f	NOUN
fcis-23825	77	3	x	x	X
fcis-23825	78	1	x	x	SYM
fcis-23825	78	2	h	h	NOUN
fcis-23825	79	1	d	d	NOUN
fcis-23825	79	2	h	h	PROPN
fcis-23825	79	3			PROPN
fcis-23825	79	4			PUNCT
fcis-23825	79	5			CCONJ
fcis-23825	79	6			PUNCT
fcis-23825	79	7			PROPN
fcis-23825	79	8			PROPN
fcis-23825	79	9			PUNCT
fcis-23825	79	10			PUNCT
fcis-23825	79	11			PROPN
fcis-23825	79	12			PROPN
fcis-23825	79	13			VERB
fcis-23825	79	14			ADP
fcis-23825	79	15			PROPN
fcis-23825	79	16			ADJ
fcis-23825	79	17			ADJ
fcis-23825	79	18			NUM
fcis-23825	79	19			NOUN
fcis-23825	79	20			PROPN
fcis-23825	79	21			NOUN
fcis-23825	79	22			NOUN
fcis-23825	79	23			NOUN
fcis-23825	79	24	(	(	PUNCT
fcis-23825	79	25	3	3	NUM
fcis-23825	79	26	)	)	PUNCT
fcis-23825	79	27	where	where	SCONJ
fcis-23825	79	28	f	f	PROPN
fcis-23825	79	29	is	be	AUX
fcis-23825	79	30	a	a	DET
fcis-23825	79	31	single	single	ADV
fcis-23825	79	32	-	-	PUNCT
fcis-23825	79	33	valued	value	VERB
fcis-23825	79	34	function	function	NOUN
fcis-23825	79	35	,	,	PUNCT
fcis-23825	79	36	d	d	X
fcis-23825	79	37	is	be	AUX
fcis-23825	79	38	the	the	DET
fcis-23825	79	39	input	input	NOUN
fcis-23825	79	40	time	time	NOUN
fcis-23825	79	41	step	step	NOUN
fcis-23825	79	42	,	,	PUNCT
fcis-23825	79	43	w	w	NOUN
fcis-23825	79	44	is	be	AUX
fcis-23825	79	45	a	a	DET
fcis-23825	79	46	noise	noise	NOUN
fcis-23825	79	47	vector	vector	NOUN
fcis-23825	79	48	,	,	PUNCT
fcis-23825	79	49	and	and	CCONJ
fcis-23825	79	50	h	h	NOUN
fcis-23825	79	51	is	be	AUX
fcis-23825	79	52	the	the	DET
fcis-23825	79	53	predicted	predict	VERB
fcis-23825	79	54	time	time	NOUN
fcis-23825	79	55	step	step	NOUN
fcis-23825	79	56	.	.	PUNCT
fcis-23825	80	1	the	the	DET
fcis-23825	80	2	direct	direct	ADJ
fcis-23825	80	3	strategy	strategy	NOUN
fcis-23825	80	4	refers	refer	VERB
fcis-23825	80	5	to	to	ADP
fcis-23825	80	6	building	build	VERB
fcis-23825	80	7	n	n	NOUN
fcis-23825	80	8	models	model	NOUN
fcis-23825	80	9	to	to	PART
fcis-23825	80	10	predict	predict	VERB
fcis-23825	80	11	the	the	DET
fcis-23825	80	12	values	value	NOUN
fcis-23825	80	13	of	of	ADP
fcis-23825	80	14	the	the	DET
fcis-23825	80	15	next	next	ADJ
fcis-23825	80	16	n	n	NUM
fcis-23825	80	17	time	time	NOUN
fcis-23825	80	18	steps	step	NOUN
fcis-23825	80	19	individually	individually	ADV
fcis-23825	80	20	.	.	PUNCT
fcis-23825	81	1	the	the	DET
fcis-23825	81	2	construction	construction	NOUN
fcis-23825	81	3	and	and	CCONJ
fcis-23825	81	4	prediction	prediction	NOUN
fcis-23825	81	5	process	process	NOUN
fcis-23825	81	6	can	can	AUX
fcis-23825	81	7	be	be	AUX
fcis-23825	81	8	represented	represent	VERB
fcis-23825	81	9	by	by	ADP
fcis-23825	81	10	4	4	NUM
fcis-23825	81	11	and	and	CCONJ
fcis-23825	81	12	formula	formula	NOUN
fcis-23825	81	13	5	5	NUM
fcis-23825	81	14	(	(	PUNCT
fcis-23825	81	15	taieb	taieb	NOUN
fcis-23825	81	16	et	et	PROPN
fcis-23825	81	17	al	al	PROPN
fcis-23825	81	18	.	.	PROPN
fcis-23825	81	19	,	,	PUNCT
fcis-23825	81	20	2012	2012	NUM
fcis-23825	81	21	):	):	PUNCT
fcis-23825	81	22	1	1	NUM
fcis-23825	81	23	(	(	PUNCT
fcis-23825	81	24	,	,	PUNCT
fcis-23825	81	25	,	,	PUNCT
fcis-23825	81	26	)	)	PUNCT
fcis-23825	82	1	t	t	PROPN
fcis-23825	82	2	h	h	NOUN
fcis-23825	82	3	h	h	PROPN
fcis-23825	82	4	t	t	PROPN
fcis-23825	82	5	t	t	PROPN
fcis-23825	82	6	dx	dx	PROPN
fcis-23825	83	1	f	f	PROPN
fcis-23825	83	2	x	x	PROPN
fcis-23825	83	3	x	x	X
fcis-23825	83	4	w	w	PROPN
fcis-23825	83	5			PROPN
fcis-23825	83	6			ADV
fcis-23825	83	7			ADJ
fcis-23825	83	8	(	(	PUNCT
fcis-23825	83	9	4	4	NUM
fcis-23825	83	10	)	)	SYM
fcis-23825	83	11	1	1	NUM
fcis-23825	83	12	ˆˆ	ˆˆ	PROPN
fcis-23825	83	13	(	(	PUNCT
fcis-23825	83	14	,	,	PUNCT
fcis-23825	83	15	,	,	PUNCT
fcis-23825	83	16	)	)	PUNCT
fcis-23825	83	17	t	t	PROPN
fcis-23825	83	18	h	h	NOUN
fcis-23825	83	19	h	h	PROPN
fcis-23825	83	20	n	n	PROPN
fcis-23825	83	21	n	n	PROPN
fcis-23825	83	22	dx	dx	PROPN
fcis-23825	83	23	f	f	PROPN
fcis-23825	83	24	x	x	PROPN
fcis-23825	83	25	x	x	X
fcis-23825	83	26	w	w	PROPN
fcis-23825	83	27			PROPN
fcis-23825	83	28			ADV
fcis-23825	83	29			ADJ
fcis-23825	83	30	(	(	PUNCT
fcis-23825	83	31	5	5	NUM
fcis-23825	83	32	)	)	PUNCT
fcis-23825	83	33	where	where	SCONJ
fcis-23825	83	34	hf	hf	PROPN
fcis-23825	83	35	is	be	AUX
fcis-23825	83	36	the	the	DET
fcis-23825	83	37	prediction	prediction	NOUN
fcis-23825	83	38	function	function	NOUN
fcis-23825	83	39	of	of	ADP
fcis-23825	83	40	the	the	DET
fcis-23825	83	41	h	h	NOUN
fcis-23825	83	42	-	-	PUNCT
fcis-23825	83	43	th	th	VERB
fcis-23825	83	44	step	step	NOUN
fcis-23825	83	45	.	.	PUNCT
fcis-23825	84	1	the	the	DET
fcis-23825	84	2	multi	multi	ADJ
fcis-23825	84	3	-	-	ADJ
fcis-23825	84	4	input	input	ADJ
fcis-23825	84	5	multi	multi	ADJ
fcis-23825	84	6	-	-	ADJ
fcis-23825	84	7	output	output	ADJ
fcis-23825	84	8	strategy	strategy	NOUN
fcis-23825	84	9	only	only	ADV
fcis-23825	84	10	needs	need	VERB
fcis-23825	84	11	to	to	PART
fcis-23825	84	12	train	train	VERB
fcis-23825	84	13	a	a	DET
fcis-23825	84	14	single	single	ADJ
fcis-23825	84	15	model	model	NOUN
fcis-23825	84	16	through	through	ADP
fcis-23825	84	17	historical	historical	ADJ
fcis-23825	84	18	time	time	NOUN
fcis-23825	84	19	series	series	NOUN
fcis-23825	84	20	,	,	PUNCT
fcis-23825	84	21	and	and	CCONJ
fcis-23825	84	22	its	its	PRON
fcis-23825	84	23	construction	construction	NOUN
fcis-23825	84	24	and	and	CCONJ
fcis-23825	84	25	prediction	prediction	NOUN
fcis-23825	84	26	methods	method	NOUN
fcis-23825	84	27	are	be	AUX
fcis-23825	84	28	shown	show	VERB
fcis-23825	84	29	in	in	ADP
fcis-23825	84	30	formula	formula	NOUN
fcis-23825	84	31	6	6	NUM
fcis-23825	84	32	and	and	CCONJ
fcis-23825	84	33	formula	formula	VERB
fcis-23825	84	34	7	7	NUM
fcis-23825	84	35	(	(	PUNCT
fcis-23825	84	36	taieb	taieb	PROPN
fcis-23825	84	37	et	et	PROPN
fcis-23825	84	38	al	al	PROPN
fcis-23825	84	39	.	.	PROPN
fcis-23825	84	40	,	,	PUNCT
fcis-23825	84	41	2012	2012	NUM
fcis-23825	84	42	):	):	PUNCT
fcis-23825	84	43	1	1	NUM
fcis-23825	84	44	1	1	NUM
fcis-23825	84	45	[	[	PUNCT
fcis-23825	84	46	,	,	PUNCT
fcis-23825	84	47	,	,	PUNCT
fcis-23825	84	48	]	]	PUNCT
fcis-23825	84	49	(	(	PUNCT
fcis-23825	84	50	,	,	PUNCT
fcis-23825	84	51	,	,	PUNCT
fcis-23825	84	52	)	)	PUNCT
fcis-23825	84	53	t	t	PROPN
fcis-23825	84	54	h	h	NOUN
fcis-23825	84	55	t	t	PROPN
fcis-23825	84	56	t	t	PROPN
fcis-23825	84	57	t	t	PROPN
fcis-23825	84	58	dx	dx	PROPN
fcis-23825	85	1	x	x	X
fcis-23825	85	2	f	f	X
fcis-23825	85	3	x	x	X
fcis-23825	85	4	x	x	SYM
fcis-23825	85	5	w	w	PROPN
fcis-23825	85	6			PUNCT
fcis-23825	85	7			PROPN
fcis-23825	85	8			ADJ
fcis-23825	85	9			ADJ
fcis-23825	85	10			NOUN
fcis-23825	85	11	(	(	PUNCT
fcis-23825	85	12	6	6	NUM
fcis-23825	85	13	)	)	SYM
fcis-23825	85	14	1	1	NUM
fcis-23825	85	15	1	1	NUM
fcis-23825	85	16	ˆˆ	ˆˆ	NOUN
fcis-23825	85	17	ˆ	ˆ	PROPN
fcis-23825	85	18	[	[	PUNCT
fcis-23825	85	19	,	,	PUNCT
fcis-23825	85	20	,	,	PUNCT
fcis-23825	85	21	]	]	PUNCT
fcis-23825	85	22	(	(	PUNCT
fcis-23825	85	23	,	,	PUNCT
fcis-23825	85	24	,	,	PUNCT
fcis-23825	85	25	)	)	PUNCT
fcis-23825	85	26	t	t	PROPN
fcis-23825	85	27	h	h	NOUN
fcis-23825	85	28	t	t	PROPN
fcis-23825	85	29	t	t	PROPN
fcis-23825	85	30	t	t	PROPN
fcis-23825	85	31	dx	dx	PROPN
fcis-23825	85	32	x	x	X
fcis-23825	86	1	f	f	X
fcis-23825	86	2	x	x	X
fcis-23825	86	3	x	x	SYM
fcis-23825	86	4	w	w	PROPN
fcis-23825	86	5			PUNCT
fcis-23825	86	6			PROPN
fcis-23825	86	7			ADJ
fcis-23825	86	8			ADJ
fcis-23825	86	9			NOUN
fcis-23825	86	10	(	(	PUNCT
fcis-23825	86	11	7	7	NUM
fcis-23825	86	12	)	)	PUNCT
fcis-23825	86	13	where	where	SCONJ
fcis-23825	86	14	f	f	PROPN
fcis-23825	86	15	is	be	AUX
fcis-23825	86	16	a	a	DET
fcis-23825	86	17	vector	vector	NOUN
fcis-23825	86	18	-	-	PUNCT
fcis-23825	86	19	valued	value	VERB
fcis-23825	86	20	function	function	NOUN
fcis-23825	86	21	.	.	PUNCT
fcis-23825	87	1	2.4	2.4	NUM
fcis-23825	87	2	.	.	PUNCT
fcis-23825	88	1	lstm	lstm	NOUN
fcis-23825	88	2	the	the	DET
fcis-23825	88	3	lstm	lstm	PROPN
fcis-23825	88	4	model	model	NOUN
fcis-23825	88	5	is	be	AUX
fcis-23825	88	6	an	an	DET
fcis-23825	88	7	improved	improved	ADJ
fcis-23825	88	8	version	version	NOUN
fcis-23825	88	9	based	base	VERB
fcis-23825	88	10	on	on	ADP
fcis-23825	88	11	the	the	DET
fcis-23825	88	12	rnn	rnn	NOUN
fcis-23825	88	13	(	(	PUNCT
fcis-23825	88	14	(	(	PUNCT
fcis-23825	88	15	recurrent	recurrent	ADJ
fcis-23825	88	16	neural	neural	ADJ
fcis-23825	88	17	network	network	NOUN
fcis-23825	88	18	)	)	PUNCT
fcis-23825	88	19	)	)	PUNCT
fcis-23825	89	1	model	model	NOUN
fcis-23825	89	2	,	,	PUNCT
fcis-23825	89	3	primarily	primarily	ADV
fcis-23825	89	4	addressing	address	VERB
fcis-23825	89	5	the	the	DET
fcis-23825	89	6	issues	issue	NOUN
fcis-23825	89	7	of	of	ADP
fcis-23825	89	8	gradient	gradient	ADJ
fcis-23825	89	9	vanishing	vanishing	NOUN
fcis-23825	89	10	and	and	CCONJ
fcis-23825	89	11	memory	memory	NOUN
fcis-23825	89	12	decay	decay	NOUN
fcis-23825	89	13	that	that	PRON
fcis-23825	89	14	occur	occur	VERB
fcis-23825	89	15	when	when	SCONJ
fcis-23825	89	16	training	training	NOUN
fcis-23825	89	17	time	time	NOUN
fcis-23825	89	18	series	series	PROPN
fcis-23825	89	19	data	data	PROPN
fcis-23825	89	20	with	with	ADP
fcis-23825	89	21	rnn	rnn	NOUN
fcis-23825	89	22	models	model	NOUN
fcis-23825	89	23	(	(	PUNCT
fcis-23825	89	24	selvin	selvin	PROPN
fcis-23825	89	25	et	et	PROPN
fcis-23825	89	26	al	al	PROPN
fcis-23825	89	27	.	.	PROPN
fcis-23825	89	28	,	,	PUNCT
fcis-23825	89	29	2017	2017	NUM
fcis-23825	89	30	)	)	PUNCT
fcis-23825	89	31	.	.	PUNCT
fcis-23825	90	1	compared	compare	VERB
fcis-23825	90	2	to	to	ADP
fcis-23825	90	3	the	the	DET
fcis-23825	90	4	traditional	traditional	ADJ
fcis-23825	90	5	rnn	rnn	NOUN
fcis-23825	90	6	network	network	NOUN
fcis-23825	90	7	,	,	PUNCT
fcis-23825	90	8	lstm	lstm	NOUN
fcis-23825	90	9	introduces	introduce	VERB
fcis-23825	90	10	input	input	NOUN
fcis-23825	90	11	gates	gate	NOUN
fcis-23825	90	12	,	,	PUNCT
fcis-23825	90	13	forget	forget	VERB
fcis-23825	90	14	gates	gate	NOUN
fcis-23825	90	15	,	,	PUNCT
fcis-23825	90	16	and	and	CCONJ
fcis-23825	90	17	output	output	NOUN
fcis-23825	90	18	gates	gate	NOUN
fcis-23825	90	19	,	,	PUNCT
fcis-23825	90	20	using	use	VERB
fcis-23825	90	21	gate	gate	NOUN
fcis-23825	90	22	mechanisms	mechanism	NOUN
fcis-23825	90	23	to	to	PART
fcis-23825	90	24	determine	determine	VERB
fcis-23825	90	25	the	the	DET
fcis-23825	90	26	discarding	discard	VERB
fcis-23825	90	27	and	and	CCONJ
fcis-23825	90	28	retention	retention	NOUN
fcis-23825	90	29	of	of	ADP
fcis-23825	90	30	information	information	NOUN
fcis-23825	90	31	.	.	PUNCT
fcis-23825	91	1	the	the	DET
fcis-23825	91	2	basic	basic	ADJ
fcis-23825	91	3	network	network	NOUN
fcis-23825	91	4	structure	structure	NOUN
fcis-23825	91	5	of	of	ADP
fcis-23825	91	6	lstm	lstm	NOUN
fcis-23825	91	7	is	be	AUX
fcis-23825	91	8	shown	show	VERB
fcis-23825	91	9	in	in	ADP
fcis-23825	91	10	figure	figure	NOUN
fcis-23825	91	11	2	2	NUM
fcis-23825	91	12	(	(	PUNCT
fcis-23825	91	13	hochreiter	hochreiter	PROPN
fcis-23825	91	14	et	et	PROPN
fcis-23825	91	15	al	al	PROPN
fcis-23825	91	16	.	.	PROPN
fcis-23825	91	17	,	,	PUNCT
fcis-23825	91	18	1997	1997	NUM
fcis-23825	91	19	)	)	PUNCT
fcis-23825	91	20	.	.	PUNCT
fcis-23825	92	1	╳	╳	NOUN
fcis-23825	92	2	ft	ft	PROPN
fcis-23825	92	3	ct-1	ct-1	PUNCT
fcis-23825	92	4	+	+	CCONJ
fcis-23825	92	5	tanh	tanh	PROPN
fcis-23825	92	6	σ	σ	PROPN
fcis-23825	92	7	╳	╳	PROPN
fcis-23825	92	8	σ	σ	PROPN
fcis-23825	92	9	σ	σ	PROPN
fcis-23825	92	10	╳	╳	PROPN
fcis-23825	92	11	xt	xt	PROPN
fcis-23825	92	12	tanh	tanh	PROPN
fcis-23825	92	13	ct	ct	PROPN
fcis-23825	92	14	ht-1	ht-1	INTJ
fcis-23825	93	1	ht	ht	INTJ
fcis-23825	93	2	ht	ht	INTJ
fcis-23825	94	1	it	it	PRON
fcis-23825	94	2	c't	c't	ADV
fcis-23825	94	3	ot	ot	INTJ
fcis-23825	94	4	fig	fig	NOUN
fcis-23825	94	5	2	2	NUM
fcis-23825	94	6	.	.	PUNCT
fcis-23825	95	1	lstm	lstm	PROPN
fcis-23825	95	2	network	network	NOUN
fcis-23825	95	3	structure	structure	NOUN
fcis-23825	95	4	diagram	diagram	VERB
fcis-23825	95	5	the	the	DET
fcis-23825	95	6	computational	computational	ADJ
fcis-23825	95	7	steps	step	NOUN
fcis-23825	95	8	of	of	ADP
fcis-23825	95	9	the	the	DET
fcis-23825	95	10	lstm	lstm	PROPN
fcis-23825	95	11	network	network	NOUN
fcis-23825	95	12	structure	structure	NOUN
fcis-23825	95	13	are	be	AUX
fcis-23825	95	14	as	as	SCONJ
fcis-23825	95	15	follows	follow	VERB
fcis-23825	95	16	:	:	PUNCT
fcis-23825	95	17	1	1	NUM
fcis-23825	95	18	(	(	PUNCT
fcis-23825	95	19	[	[	PUNCT
fcis-23825	95	20	,	,	PUNCT
fcis-23825	95	21	]	]	PUNCT
fcis-23825	95	22	)	)	PUNCT
fcis-23825	96	1	f	f	PROPN
fcis-23825	96	2	t	t	PROPN
fcis-23825	96	3	t	t	PROPN
fcis-23825	96	4	ft	ft	PROPN
fcis-23825	96	5	w	w	PROPN
fcis-23825	96	6	h	h	NOUN
fcis-23825	97	1	x	x	NOUN
fcis-23825	97	2	bf	bf	NOUN
fcis-23825	97	3			PROPN
fcis-23825	97	4			PROPN
fcis-23825	97	5			PROPN
fcis-23825	97	6	(	(	PUNCT
fcis-23825	97	7	8)	8)	NUM
fcis-23825	97	8	1	1	NUM
fcis-23825	97	9	(	(	PUNCT
fcis-23825	97	10	[	[	PUNCT
fcis-23825	97	11	,	,	PUNCT
fcis-23825	97	12	]	]	PUNCT
fcis-23825	97	13	)	)	PUNCT
fcis-23825	98	1	i	i	PRON
fcis-23825	98	2	t	t	VERB
fcis-23825	98	3	t	t	X
fcis-23825	99	1	it	it	PRON
fcis-23825	100	1	w	w	NOUN
fcis-23825	100	2	h	h	NOUN
fcis-23825	100	3	x	x	NOUN
fcis-23825	100	4	bi	bi	ADJ
fcis-23825	100	5			PROPN
fcis-23825	100	6			PROPN
fcis-23825	100	7			PROPN
fcis-23825	100	8	(	(	PUNCT
fcis-23825	100	9	9	9	NUM
fcis-23825	100	10	)	)	SYM
fcis-23825	100	11	1	1	NUM
fcis-23825	100	12	'	'	CCONJ
fcis-23825	100	13	tanh	tanh	NOUN
fcis-23825	100	14	(	(	PUNCT
fcis-23825	100	15	[	[	PUNCT
fcis-23825	100	16	,	,	PUNCT
fcis-23825	100	17	]	]	PUNCT
fcis-23825	100	18	)	)	PUNCT
fcis-23825	101	1	t	t	PROPN
fcis-23825	101	2	c	c	PROPN
fcis-23825	101	3	t	t	PROPN
fcis-23825	101	4	t	t	PROPN
fcis-23825	101	5	cc	cc	PROPN
fcis-23825	101	6	w	w	PROPN
fcis-23825	101	7	h	h	PROPN
fcis-23825	101	8	x	x	PUNCT
fcis-23825	101	9	b	b	PROPN
fcis-23825	101	10			NOUN
fcis-23825	101	11			PUNCT
fcis-23825	101	12	(	(	PUNCT
fcis-23825	101	13	10	10	NUM
fcis-23825	101	14	)	)	PUNCT
fcis-23825	101	15	t	t	NOUN
fcis-23825	101	16	1c	1c	NOUN
fcis-23825	101	17	'	'	SYM
fcis-23825	101	18	t	t	PROPN
fcis-23825	101	19	t	t	NOUN
fcis-23825	101	20	t	t	NOUN
fcis-23825	102	1	tf	tf	INTJ
fcis-23825	102	2	c	c	INTJ
fcis-23825	103	1	i	i	PRON
fcis-23825	103	2	c	c	PROPN
fcis-23825	103	3			PROPN
fcis-23825	103	4			PROPN
fcis-23825	103	5			PROPN
fcis-23825	103	6	(	(	PUNCT
fcis-23825	103	7	11	11	NUM
fcis-23825	103	8	)	)	SYM
fcis-23825	103	9	1	1	NUM
fcis-23825	103	10	t	t	NOUN
fcis-23825	103	11	(	(	PUNCT
fcis-23825	103	12	,	,	PUNCT
fcis-23825	103	13	]	]	PUNCT
fcis-23825	103	14	)	)	PUNCT
fcis-23825	104	1	o	o	X
fcis-23825	105	1	[	[	X
fcis-23825	105	2	o	o	X
fcis-23825	105	3	t	t	X
fcis-23825	105	4	t	t	X
fcis-23825	105	5	ow	ow	INTJ
fcis-23825	105	6	h	h	NOUN
fcis-23825	105	7	x	x	PROPN
fcis-23825	105	8	b	b	PROPN
fcis-23825	105	9			PROPN
fcis-23825	105	10			PROPN
fcis-23825	105	11	(	(	PUNCT
fcis-23825	105	12	12	12	NUM
fcis-23825	105	13	)	)	PUNCT
fcis-23825	105	14	th	th	X
fcis-23825	105	15	tanh	tanh	PROPN
fcis-23825	105	16	(	(	PUNCT
fcis-23825	105	17	)	)	PUNCT
fcis-23825	105	18	t	t	NOUN
fcis-23825	105	19	to	to	ADP
fcis-23825	105	20	c	c	PROPN
fcis-23825	105	21			PROPN
fcis-23825	105	22	(	(	PUNCT
fcis-23825	105	23	13	13	NUM
fcis-23825	105	24	)	)	PUNCT
fcis-23825	105	25	tf	tf	INTJ
fcis-23825	105	26	,	,	PUNCT
fcis-23825	105	27	ti	ti	NOUN
fcis-23825	105	28	,	,	PUNCT
fcis-23825	105	29	and	and	CCONJ
fcis-23825	105	30	to	to	PART
fcis-23825	105	31	represent	represent	VERB
fcis-23825	105	32	the	the	DET
fcis-23825	105	33	forget	forget	NOUN
fcis-23825	105	34	gate	gate	NOUN
fcis-23825	105	35	,	,	PUNCT
fcis-23825	105	36	input	input	NOUN
fcis-23825	105	37	gate	gate	NOUN
fcis-23825	105	38	,	,	PUNCT
fcis-23825	105	39	and	and	CCONJ
fcis-23825	105	40	output	output	NOUN
fcis-23825	105	41	gate	gate	NOUN
fcis-23825	105	42	at	at	ADP
fcis-23825	105	43	time	time	NOUN
fcis-23825	105	44	t	t	PROPN
fcis-23825	105	45	,	,	PUNCT
fcis-23825	105	46	respectively	respectively	ADV
fcis-23825	105	47	,	,	PUNCT
fcis-23825	105	48	and	and	CCONJ
fcis-23825	105	49	th	th	X
fcis-23825	105	50	is	be	AUX
fcis-23825	105	51	the	the	DET
fcis-23825	105	52	output	output	NOUN
fcis-23825	105	53	part	part	NOUN
fcis-23825	105	54	at	at	ADP
fcis-23825	105	55	time	time	NOUN
fcis-23825	105	56	t	t	NOUN
fcis-23825	105	57	;	;	PUNCT
fcis-23825	105	58	'	'	PUNCT
fcis-23825	105	59	tc	tc	NOUN
fcis-23825	105	60	is	be	AUX
fcis-23825	105	61	the	the	DET
fcis-23825	105	62	candidate	candidate	NOUN
fcis-23825	105	63	value	value	NOUN
fcis-23825	105	64	vector	vector	NOUN
fcis-23825	105	65	;	;	PUNCT
fcis-23825	105	66	tc	tc	NUM
fcis-23825	105	67	is	be	AUX
fcis-23825	105	68	the	the	DET
fcis-23825	105	69	vector	vector	NOUN
fcis-23825	105	70	at	at	ADP
fcis-23825	105	71	time	time	NOUN
fcis-23825	105	72	t	t	NOUN
fcis-23825	105	73	;	;	PUNCT
fcis-23825	105	74	w	w	NOUN
fcis-23825	105	75	and	and	CCONJ
fcis-23825	105	76	b	b	NOUN
fcis-23825	105	77	are	be	AUX
fcis-23825	105	78	the	the	DET
fcis-23825	105	79	coefficient	coefficient	NOUN
fcis-23825	105	80	matrix	matrix	NOUN
fcis-23825	105	81	and	and	CCONJ
fcis-23825	105	82	bias	bias	NOUN
fcis-23825	105	83	respectively	respectively	ADV
fcis-23825	105	84	vector	vector	NOUN
fcis-23825	105	85	;	;	PUNCT
fcis-23825	105	86			X
fcis-23825	105	87	is	be	AUX
fcis-23825	105	88	sigmoid	sigmoid	NOUN
fcis-23825	105	89	function	function	NOUN
fcis-23825	105	90	;	;	PUNCT
fcis-23825	105	91	tx	tx	PROPN
fcis-23825	105	92	represents	represent	VERB
fcis-23825	105	93	the	the	DET
fcis-23825	105	94	input	input	NOUN
fcis-23825	105	95	value	value	NOUN
fcis-23825	105	96	at	at	ADP
fcis-23825	105	97	t	t	PROPN
fcis-23825	105	98	.	.	PUNCT
fcis-23825	106	1	8	8	NUM
fcis-23825	106	2	2.5	2.5	NUM
fcis-23825	106	3	.	.	PUNCT
fcis-23825	107	1	model	model	NOUN
fcis-23825	107	2	prediction	prediction	NOUN
fcis-23825	107	3	accuracy	accuracy	NOUN
fcis-23825	107	4	evaluation	evaluation	NOUN
fcis-23825	107	5	metric	metric	NOUN
fcis-23825	107	6	this	this	DET
fcis-23825	107	7	paper	paper	NOUN
fcis-23825	107	8	selects	select	NOUN
fcis-23825	107	9	mean	mean	VERB
fcis-23825	107	10	square	square	ADJ
fcis-23825	107	11	error	error	NOUN
fcis-23825	107	12	(	(	PUNCT
fcis-23825	107	13	mse	mse	NOUN
fcis-23825	107	14	)	)	PUNCT
fcis-23825	107	15	and	and	CCONJ
fcis-23825	107	16	mean	mean	VERB
fcis-23825	107	17	absolute	absolute	ADJ
fcis-23825	107	18	error	error	NOUN
fcis-23825	107	19	(	(	PUNCT
fcis-23825	107	20	mae	mae	PROPN
fcis-23825	107	21	)	)	PUNCT
fcis-23825	107	22	evaluation	evaluation	NOUN
fcis-23825	107	23	metrics	metric	NOUN
fcis-23825	107	24	.	.	PUNCT
fcis-23825	108	1	,	,	PUNCT
fcis-23825	108	2	where	where	SCONJ
fcis-23825	108	3	smaller	small	ADJ
fcis-23825	108	4	values	value	NOUN
fcis-23825	108	5	of	of	ADP
fcis-23825	108	6	these	these	DET
fcis-23825	108	7	metrics	metric	NOUN
fcis-23825	108	8	indicate	indicate	VERB
fcis-23825	108	9	higher	high	ADJ
fcis-23825	108	10	prediction	prediction	NOUN
fcis-23825	108	11	accuracy	accuracy	NOUN
fcis-23825	108	12	.	.	PUNCT
fcis-23825	109	1	the	the	DET
fcis-23825	109	2	calculation	calculation	NOUN
fcis-23825	109	3	formulas	formula	VERB
fcis-23825	109	4	for	for	ADP
fcis-23825	109	5	these	these	DET
fcis-23825	109	6	evaluation	evaluation	NOUN
fcis-23825	109	7	metrics	metric	NOUN
fcis-23825	109	8	are	be	AUX
fcis-23825	109	9	as	as	SCONJ
fcis-23825	109	10	follows	follow	VERB
fcis-23825	109	11	.	.	PUNCT
fcis-23825	110	1	2	2	NUM
fcis-23825	110	2	i=1	i=1	SYM
fcis-23825	110	3	1	1	NUM
fcis-23825	110	4	mse=	mse=	PROPN
fcis-23825	110	5	(	(	PUNCT
fcis-23825	110	6	'	'	NUM
fcis-23825	110	7	)	)	PUNCT
fcis-23825	110	8	n	n	CCONJ
fcis-23825	110	9	n	n	NOUN
fcis-23825	110	10	i	i	PRON
fcis-23825	110	11	iy	iy	PROPN
fcis-23825	110	12	y	y	PROPN
fcis-23825	110	13	(	(	PUNCT
fcis-23825	110	14	14	14	NUM
fcis-23825	110	15	)	)	SYM
fcis-23825	110	16	1	1	NUM
fcis-23825	110	17	1	1	NUM
fcis-23825	110	18	|	|	ADV
fcis-23825	110	19	'	'	PUNCT
fcis-23825	110	20	|	|	ADV
fcis-23825	110	21	n	n	ADV
fcis-23825	110	22	i	i	PRON
fcis-23825	110	23	i	i	PRON
fcis-23825	111	1	i	i	PRON
fcis-23825	111	2	mae	mae	PROPN
fcis-23825	111	3	y	y	PROPN
fcis-23825	111	4	y	y	PROPN
fcis-23825	112	1	n	n	CCONJ
fcis-23825	112	2			NUM
fcis-23825	112	3			NUM
fcis-23825	113	1			NOUN
fcis-23825	113	2	(	(	PUNCT
fcis-23825	113	3	15	15	NUM
fcis-23825	113	4	)	)	PUNCT
fcis-23825	113	5	among	among	ADP
fcis-23825	113	6	them	they	PRON
fcis-23825	113	7	,	,	PUNCT
fcis-23825	113	8	n	n	PRON
fcis-23825	113	9	represents	represent	VERB
fcis-23825	113	10	the	the	DET
fcis-23825	113	11	number	number	NOUN
fcis-23825	113	12	of	of	ADP
fcis-23825	113	13	samples	sample	NOUN
fcis-23825	113	14	,	,	PUNCT
fcis-23825	113	15	iy	iy	PROPN
fcis-23825	113	16	is	be	AUX
fcis-23825	113	17	the	the	DET
fcis-23825	113	18	true	true	ADJ
fcis-23825	113	19	value	value	NOUN
fcis-23825	113	20	of	of	ADP
fcis-23825	113	21	the	the	DET
fcis-23825	113	22	i	i	PROPN
fcis-23825	113	23	-	-	PUNCT
fcis-23825	113	24	th	th	X
fcis-23825	113	25	sample	sample	NOUN
fcis-23825	113	26	,	,	PUNCT
fcis-23825	113	27	and	and	CCONJ
fcis-23825	113	28	'	'	PUNCT
fcis-23825	113	29	iy	iy	PROPN
fcis-23825	113	30	is	be	AUX
fcis-23825	113	31	the	the	DET
fcis-23825	113	32	predicted	predict	VERB
fcis-23825	113	33	value	value	NOUN
fcis-23825	113	34	of	of	ADP
fcis-23825	113	35	the	the	DET
fcis-23825	113	36	i	i	PROPN
fcis-23825	113	37	-	-	PUNCT
fcis-23825	113	38	th	th	X
fcis-23825	113	39	sample	sample	NOUN
fcis-23825	113	40	.	.	PUNCT
fcis-23825	114	1	2.6	2.6	NUM
fcis-23825	114	2	.	.	PUNCT
fcis-23825	114	3	predicting	predict	VERB
fcis-23825	114	4	decay	decay	NOUN
fcis-23825	114	5	rate	rate	NOUN
fcis-23825	114	6	metric	metric	ADJ
fcis-23825	114	7	under	under	ADP
fcis-23825	114	8	the	the	DET
fcis-23825	114	9	multi	multi	ADJ
fcis-23825	114	10	-	-	ADJ
fcis-23825	114	11	input	input	ADJ
fcis-23825	114	12	multi	multi	ADJ
fcis-23825	114	13	-	-	ADJ
fcis-23825	114	14	output	output	ADJ
fcis-23825	114	15	strategy	strategy	NOUN
fcis-23825	114	16	,	,	PUNCT
fcis-23825	114	17	the	the	DET
fcis-23825	114	18	recurrent	recurrent	ADJ
fcis-23825	114	19	neural	neural	ADJ
fcis-23825	114	20	network	network	NOUN
fcis-23825	114	21	takes	take	VERB
fcis-23825	114	22	the	the	DET
fcis-23825	114	23	result	result	NOUN
fcis-23825	114	24	of	of	ADP
fcis-23825	114	25	the	the	DET
fcis-23825	114	26	previous	previous	ADJ
fcis-23825	114	27	time	time	NOUN
fcis-23825	114	28	step	step	NOUN
fcis-23825	114	29	as	as	ADP
fcis-23825	114	30	the	the	DET
fcis-23825	114	31	input	input	NOUN
fcis-23825	114	32	for	for	ADP
fcis-23825	114	33	the	the	DET
fcis-23825	114	34	current	current	ADJ
fcis-23825	114	35	time	time	NOUN
fcis-23825	114	36	step	step	NOUN
fcis-23825	114	37	.	.	PUNCT
fcis-23825	115	1	as	as	SCONJ
fcis-23825	115	2	time	time	NOUN
fcis-23825	115	3	steps	step	NOUN
fcis-23825	115	4	accumulate	accumulate	VERB
fcis-23825	115	5	,	,	PUNCT
fcis-23825	115	6	there	there	PRON
fcis-23825	115	7	can	can	AUX
fcis-23825	115	8	be	be	AUX
fcis-23825	115	9	an	an	DET
fcis-23825	115	10	accumulation	accumulation	NOUN
fcis-23825	115	11	of	of	ADP
fcis-23825	115	12	errors	error	NOUN
fcis-23825	115	13	,	,	PUNCT
fcis-23825	115	14	resulting	result	VERB
fcis-23825	115	15	in	in	ADP
fcis-23825	115	16	a	a	DET
fcis-23825	115	17	decrease	decrease	NOUN
fcis-23825	115	18	in	in	ADP
fcis-23825	115	19	prediction	prediction	NOUN
fcis-23825	115	20	accuracy	accuracy	NOUN
fcis-23825	115	21	.	.	PUNCT
fcis-23825	116	1	to	to	PART
fcis-23825	116	2	explore	explore	VERB
fcis-23825	116	3	the	the	DET
fcis-23825	116	4	decay	decay	NOUN
fcis-23825	116	5	of	of	ADP
fcis-23825	116	6	prediction	prediction	NOUN
fcis-23825	116	7	accuracy	accuracy	NOUN
fcis-23825	116	8	at	at	ADP
fcis-23825	116	9	each	each	DET
fcis-23825	116	10	time	time	NOUN
fcis-23825	116	11	step	step	NOUN
fcis-23825	116	12	,	,	PUNCT
fcis-23825	116	13	this	this	DET
fcis-23825	116	14	article	article	NOUN
fcis-23825	116	15	uses	use	VERB
fcis-23825	116	16	the	the	DET
fcis-23825	116	17	prediction	prediction	NOUN
fcis-23825	116	18	accuracy	accuracy	NOUN
fcis-23825	116	19	decay	decay	NOUN
fcis-23825	116	20	rate	rate	NOUN
fcis-23825	116	21	to	to	PART
fcis-23825	116	22	measure	measure	VERB
fcis-23825	116	23	the	the	DET
fcis-23825	116	24	degree	degree	NOUN
fcis-23825	116	25	of	of	ADP
fcis-23825	116	26	decay	decay	NOUN
fcis-23825	116	27	at	at	ADP
fcis-23825	116	28	the	the	DET
fcis-23825	116	29	current	current	ADJ
fcis-23825	116	30	time	time	NOUN
fcis-23825	116	31	step	step	NOUN
fcis-23825	116	32	.	.	PUNCT
fcis-23825	117	1	the	the	DET
fcis-23825	117	2	decay	decay	NOUN
fcis-23825	117	3	rates	rate	NOUN
fcis-23825	117	4	for	for	ADP
fcis-23825	117	5	mse	mse	PROPN
fcis-23825	117	6	and	and	CCONJ
fcis-23825	117	7	mae	mae	PROPN
fcis-23825	117	8	are	be	AUX
fcis-23825	117	9	as	as	SCONJ
fcis-23825	117	10	follows	follow	VERB
fcis-23825	117	11	.	.	PUNCT
fcis-23825	118	1	1	1	NUM
fcis-23825	118	2	1	1	NUM
fcis-23825	118	3	(	(	PUNCT
fcis-23825	118	4	)	)	PUNCT
fcis-23825	118	5	t	t	NOUN
fcis-23825	118	6	t	t	PROPN
fcis-23825	118	7	t	t	PROPN
fcis-23825	118	8	t	t	PROPN
fcis-23825	118	9	mse	mse	PROPN
fcis-23825	118	10	mse	mse	PROPN
fcis-23825	118	11	mse	mse	PROPN
fcis-23825	118	12			NUM
fcis-23825	118	13			PROPN
fcis-23825	118	14			PROPN
fcis-23825	118	15			PROPN
fcis-23825	118	16			NUM
fcis-23825	118	17	(	(	PUNCT
fcis-23825	118	18	16	16	NUM
fcis-23825	118	19	)	)	PUNCT
fcis-23825	118	20	in	in	ADP
fcis-23825	118	21	the	the	DET
fcis-23825	118	22	formula	formula	NOUN
fcis-23825	118	23	,	,	PUNCT
fcis-23825	118	24	t	t	NOUN
fcis-23825	118	25	is	be	AUX
fcis-23825	118	26	the	the	DET
fcis-23825	118	27	mse	mse	NOUN
fcis-23825	118	28	decay	decay	NOUN
fcis-23825	118	29	rate	rate	NOUN
fcis-23825	118	30	at	at	ADP
fcis-23825	118	31	time	time	NOUN
fcis-23825	118	32	step	step	NOUN
fcis-23825	118	33	t	t	NOUN
fcis-23825	118	34	,	,	PUNCT
fcis-23825	118	35	and	and	CCONJ
fcis-23825	118	36	tmse	tmse	PROPN
fcis-23825	118	37	is	be	AUX
fcis-23825	118	38	the	the	DET
fcis-23825	118	39	mean	mean	ADJ
fcis-23825	118	40	square	square	ADJ
fcis-23825	118	41	error	error	NOUN
fcis-23825	118	42	between	between	ADP
fcis-23825	118	43	the	the	DET
fcis-23825	118	44	predicted	predict	VERB
fcis-23825	118	45	value	value	NOUN
fcis-23825	118	46	and	and	CCONJ
fcis-23825	118	47	the	the	DET
fcis-23825	118	48	true	true	ADJ
fcis-23825	118	49	value	value	NOUN
fcis-23825	118	50	at	at	ADP
fcis-23825	118	51	time	time	NOUN
fcis-23825	118	52	step	step	NOUN
fcis-23825	118	53	t	t	NOUN
fcis-23825	118	54	.	.	PUNCT
fcis-23825	119	1	1	1	NUM
fcis-23825	119	2	1	1	NUM
fcis-23825	119	3	(	(	PUNCT
fcis-23825	119	4	)	)	PUNCT
fcis-23825	119	5	t	t	NOUN
fcis-23825	119	6	t	t	PROPN
fcis-23825	119	7	t	t	PROPN
fcis-23825	119	8	t	t	PROPN
fcis-23825	119	9	mae	mae	PROPN
fcis-23825	119	10	mae	mae	PROPN
fcis-23825	119	11	mae	mae	PROPN
fcis-23825	119	12			ADJ
fcis-23825	119	13			PROPN
fcis-23825	119	14			PROPN
fcis-23825	119	15			PROPN
fcis-23825	119	16			NUM
fcis-23825	119	17	(	(	PUNCT
fcis-23825	119	18	17	17	NUM
fcis-23825	119	19	)	)	PUNCT
fcis-23825	119	20	in	in	ADP
fcis-23825	119	21	the	the	DET
fcis-23825	119	22	formula	formula	NOUN
fcis-23825	119	23	,	,	PUNCT
fcis-23825	119	24	t	t	PROPN
fcis-23825	119	25	is	be	AUX
fcis-23825	119	26	the	the	DET
fcis-23825	119	27	mae	mae	PROPN
fcis-23825	119	28	decay	decay	NOUN
fcis-23825	119	29	rate	rate	NOUN
fcis-23825	119	30	at	at	ADP
fcis-23825	119	31	time	time	NOUN
fcis-23825	119	32	step	step	NOUN
fcis-23825	119	33	t	t	NOUN
fcis-23825	119	34	,	,	PUNCT
fcis-23825	119	35	and	and	CCONJ
fcis-23825	119	36	tmae	tmae	NOUN
fcis-23825	119	37	is	be	AUX
fcis-23825	119	38	the	the	DET
fcis-23825	119	39	average	average	ADJ
fcis-23825	119	40	absolute	absolute	ADJ
fcis-23825	119	41	error	error	NOUN
fcis-23825	119	42	between	between	ADP
fcis-23825	119	43	the	the	DET
fcis-23825	119	44	predicted	predict	VERB
fcis-23825	119	45	value	value	NOUN
fcis-23825	119	46	and	and	CCONJ
fcis-23825	119	47	the	the	DET
fcis-23825	119	48	true	true	ADJ
fcis-23825	119	49	value	value	NOUN
fcis-23825	119	50	at	at	ADP
fcis-23825	119	51	time	time	NOUN
fcis-23825	119	52	step	step	NOUN
fcis-23825	119	53	t	t	NOUN
fcis-23825	119	54	.	.	PUNCT
fcis-23825	120	1	2.7	2.7	NUM
fcis-23825	120	2	.	.	PUNCT
fcis-23825	120	3	dissolved	dissolve	VERB
fcis-23825	120	4	oxygen	oxygen	NOUN
fcis-23825	120	5	multi	multi	ADJ
fcis-23825	120	6	-	-	ADJ
fcis-23825	120	7	step	step	ADJ
fcis-23825	120	8	prediction	prediction	NOUN
fcis-23825	120	9	model	model	NOUN
fcis-23825	120	10	this	this	DET
fcis-23825	120	11	study	study	NOUN
fcis-23825	120	12	combines	combine	VERB
fcis-23825	120	13	the	the	DET
fcis-23825	120	14	stl	stl	PROPN
fcis-23825	120	15	method	method	NOUN
fcis-23825	120	16	,	,	PUNCT
fcis-23825	120	17	three	three	NUM
fcis-23825	120	18	multi	multi	ADJ
fcis-23825	120	19	-	-	ADJ
fcis-23825	120	20	step	step	ADJ
fcis-23825	120	21	prediction	prediction	NOUN
fcis-23825	120	22	strategies	strategy	NOUN
fcis-23825	120	23	,	,	PUNCT
fcis-23825	120	24	and	and	CCONJ
fcis-23825	120	25	the	the	DET
fcis-23825	120	26	lstm	lstm	PROPN
fcis-23825	120	27	model	model	NOUN
fcis-23825	120	28	to	to	PART
fcis-23825	120	29	establish	establish	VERB
fcis-23825	120	30	a	a	DET
fcis-23825	120	31	multi	multi	ADJ
fcis-23825	120	32	-	-	ADJ
fcis-23825	120	33	step	step	ADJ
fcis-23825	120	34	prediction	prediction	NOUN
fcis-23825	120	35	model	model	NOUN
fcis-23825	120	36	for	for	ADP
fcis-23825	120	37	dissolved	dissolve	VERB
fcis-23825	120	38	oxygen	oxygen	NOUN
fcis-23825	120	39	.	.	PUNCT
fcis-23825	121	1	the	the	DET
fcis-23825	121	2	main	main	ADJ
fcis-23825	121	3	process	process	NOUN
fcis-23825	121	4	steps	step	NOUN
fcis-23825	121	5	include	include	VERB
fcis-23825	121	6	the	the	DET
fcis-23825	121	7	stl	stl	PROPN
fcis-23825	121	8	decomposition	decomposition	NOUN
fcis-23825	121	9	of	of	ADP
fcis-23825	121	10	dissolved	dissolve	VERB
fcis-23825	121	11	oxygen	oxygen	NOUN
fcis-23825	121	12	time	time	NOUN
fcis-23825	121	13	series	series	NOUN
fcis-23825	121	14	,	,	PUNCT
fcis-23825	121	15	the	the	DET
fcis-23825	121	16	combination	combination	NOUN
fcis-23825	121	17	of	of	ADP
fcis-23825	121	18	three	three	NUM
fcis-23825	121	19	multi	multi	ADJ
fcis-23825	121	20	-	-	ADJ
fcis-23825	121	21	step	step	ADJ
fcis-23825	121	22	strategies	strategy	NOUN
fcis-23825	121	23	,	,	PUNCT
fcis-23825	121	24	the	the	DET
fcis-23825	121	25	data	data	NOUN
fcis-23825	121	26	training	training	NOUN
fcis-23825	121	27	of	of	ADP
fcis-23825	121	28	the	the	DET
fcis-23825	121	29	lstm	lstm	PROPN
fcis-23825	121	30	model	model	NOUN
fcis-23825	121	31	,	,	PUNCT
fcis-23825	121	32	and	and	CCONJ
fcis-23825	121	33	result	result	VERB
fcis-23825	121	34	analysis	analysis	NOUN
fcis-23825	121	35	.	.	PUNCT
fcis-23825	122	1	the	the	DET
fcis-23825	122	2	experimental	experimental	ADJ
fcis-23825	122	3	process	process	NOUN
fcis-23825	122	4	is	be	AUX
fcis-23825	122	5	shown	show	VERB
fcis-23825	122	6	in	in	ADP
fcis-23825	122	7	the	the	DET
fcis-23825	122	8	figure	figure	NOUN
fcis-23825	122	9	below	below	ADV
fcis-23825	122	10	.	.	PUNCT
fcis-23825	123	1	startdo	startdo	PROPN
fcis-23825	123	2	time	time	PROPN
fcis-23825	123	3	series	series	PROPN
fcis-23825	123	4	stl	stl	PROPN
fcis-23825	123	5	do	do	VERB
fcis-23825	123	6	time	time	NOUN
fcis-23825	123	7	seriestrend	seriestrend	ADJ
fcis-23825	123	8	time	time	PROPN
fcis-23825	123	9	series	series	PROPN
fcis-23825	123	10	seasonal	seasonal	ADJ
fcis-23825	123	11	time	time	NOUN
fcis-23825	123	12	seriesresidual	seriesresidual	PROPN
fcis-23825	123	13	time	time	PROPN
fcis-23825	123	14	series	series	PROPN
fcis-23825	123	15	directdirectmimo	directdirectmimo	PROPN
fcis-23825	123	16	mimo	mimo	PROPN
fcis-23825	123	17	recursion	recursion	PROPN
fcis-23825	123	18	lstmlstmlstm	lstmlstmlstm	PROPN
fcis-23825	123	19	analysis	analysis	NOUN
fcis-23825	123	20	end	end	VERB
fcis-23825	123	21	lstmlstm	lstmlstm	PROPN
fcis-23825	123	22	lstm	lstm	PROPN
fcis-23825	123	23	lstm	lstm	PROPN
fcis-23825	123	24	lstmlstm	lstmlstm	PROPN
fcis-23825	123	25	lstm	lstm	PROPN
fcis-23825	123	26	lstm	lstm	PROPN
fcis-23825	123	27	fig	fig	NOUN
fcis-23825	123	28	3	3	NUM
fcis-23825	123	29	.	.	PUNCT
fcis-23825	123	30	experimental	experimental	ADJ
fcis-23825	123	31	process	process	NOUN
fcis-23825	123	32	of	of	ADP
fcis-23825	123	33	multi	multi	ADJ
fcis-23825	123	34	-	-	ADJ
fcis-23825	123	35	step	step	ADJ
fcis-23825	123	36	prediction	prediction	NOUN
fcis-23825	123	37	the	the	DET
fcis-23825	123	38	specific	specific	ADJ
fcis-23825	123	39	steps	step	NOUN
fcis-23825	123	40	of	of	ADP
fcis-23825	123	41	the	the	DET
fcis-23825	123	42	experiment	experiment	NOUN
fcis-23825	123	43	are	be	AUX
fcis-23825	123	44	as	as	SCONJ
fcis-23825	123	45	follows	follow	VERB
fcis-23825	123	46	:	:	PUNCT
fcis-23825	123	47	1	1	X
fcis-23825	123	48	.	.	X
fcis-23825	123	49	use	use	VERB
fcis-23825	123	50	the	the	DET
fcis-23825	123	51	stl	stl	PROPN
fcis-23825	123	52	method	method	NOUN
fcis-23825	123	53	to	to	PART
fcis-23825	123	54	decompose	decompose	VERB
fcis-23825	123	55	the	the	DET
fcis-23825	123	56	dissolved	dissolve	VERB
fcis-23825	123	57	oxygen	oxygen	NOUN
fcis-23825	123	58	time	time	NOUN
fcis-23825	123	59	series	series	NOUN
fcis-23825	123	60	into	into	ADP
fcis-23825	123	61	trend	trend	NOUN
fcis-23825	123	62	,	,	PUNCT
fcis-23825	123	63	seasonal	seasonal	ADJ
fcis-23825	123	64	,	,	PUNCT
fcis-23825	123	65	and	and	CCONJ
fcis-23825	123	66	residual	residual	ADJ
fcis-23825	123	67	components	component	NOUN
fcis-23825	123	68	.	.	PUNCT
fcis-23825	124	1	2	2	X
fcis-23825	124	2	.	.	PUNCT
fcis-23825	124	3	based	base	VERB
fcis-23825	124	4	on	on	ADP
fcis-23825	124	5	the	the	DET
fcis-23825	124	6	trend	trend	NOUN
fcis-23825	124	7	,	,	PUNCT
fcis-23825	124	8	seasonal	seasonal	ADJ
fcis-23825	124	9	,	,	PUNCT
fcis-23825	124	10	residual	residual	ADJ
fcis-23825	124	11	,	,	PUNCT
fcis-23825	124	12	and	and	CCONJ
fcis-23825	124	13	dissolved	dissolve	VERB
fcis-23825	124	14	oxygen	oxygen	NOUN
fcis-23825	124	15	time	time	NOUN
fcis-23825	124	16	series	series	NOUN
fcis-23825	124	17	,	,	PUNCT
fcis-23825	124	18	combined	combine	VERB
fcis-23825	124	19	with	with	ADP
fcis-23825	124	20	the	the	DET
fcis-23825	124	21	three	three	NUM
fcis-23825	124	22	multi	multi	ADJ
fcis-23825	124	23	-	-	ADJ
fcis-23825	124	24	step	step	ADJ
fcis-23825	124	25	prediction	prediction	NOUN
fcis-23825	124	26	strategies	strategy	NOUN
fcis-23825	124	27	,	,	PUNCT
fcis-23825	124	28	to	to	PART
fcis-23825	124	29	build	build	VERB
fcis-23825	124	30	five	five	NUM
fcis-23825	124	31	sets	set	NOUN
fcis-23825	124	32	of	of	ADP
fcis-23825	124	33	multi	multi	ADJ
fcis-23825	124	34	-	-	ADJ
fcis-23825	124	35	step	step	ADJ
fcis-23825	124	36	prediction	prediction	NOUN
fcis-23825	124	37	models	model	NOUN
fcis-23825	124	38	.	.	PUNCT
fcis-23825	125	1	3	3	X
fcis-23825	125	2	.	.	X
fcis-23825	125	3	fit	fit	VERB
fcis-23825	125	4	these	these	DET
fcis-23825	125	5	five	five	NUM
fcis-23825	125	6	sets	set	NOUN
fcis-23825	125	7	of	of	ADP
fcis-23825	125	8	models	model	NOUN
fcis-23825	125	9	using	use	VERB
fcis-23825	125	10	the	the	DET
fcis-23825	125	11	training	training	NOUN
fcis-23825	125	12	data	datum	NOUN
fcis-23825	125	13	and	and	CCONJ
fcis-23825	125	14	9	9	NUM
fcis-23825	125	15	generate	generate	VERB
fcis-23825	125	16	the	the	DET
fcis-23825	125	17	multi	multi	ADJ
fcis-23825	125	18	-	-	ADJ
fcis-23825	125	19	step	step	ADJ
fcis-23825	125	20	prediction	prediction	NOUN
fcis-23825	125	21	model	model	NOUN
fcis-23825	125	22	files	file	NOUN
fcis-23825	125	23	.	.	PUNCT
fcis-23825	126	1	validate	validate	VERB
fcis-23825	126	2	these	these	DET
fcis-23825	126	3	five	five	NUM
fcis-23825	126	4	sets	set	NOUN
fcis-23825	126	5	of	of	ADP
fcis-23825	126	6	models	model	NOUN
fcis-23825	126	7	using	use	VERB
fcis-23825	126	8	the	the	DET
fcis-23825	126	9	test	test	NOUN
fcis-23825	126	10	data	datum	NOUN
fcis-23825	126	11	and	and	CCONJ
fcis-23825	126	12	compare	compare	VERB
fcis-23825	126	13	their	their	PRON
fcis-23825	126	14	prediction	prediction	NOUN
fcis-23825	126	15	accuracy	accuracy	NOUN
fcis-23825	126	16	and	and	CCONJ
fcis-23825	126	17	prediction	prediction	NOUN
fcis-23825	126	18	accuracy	accuracy	NOUN
fcis-23825	126	19	decay	decay	NOUN
fcis-23825	126	20	rate	rate	NOUN
fcis-23825	126	21	to	to	PART
fcis-23825	126	22	identify	identify	VERB
fcis-23825	126	23	the	the	DET
fcis-23825	126	24	best	good	ADJ
fcis-23825	126	25	multi	multi	ADJ
fcis-23825	126	26	-	-	ADJ
fcis-23825	126	27	step	step	ADJ
fcis-23825	126	28	prediction	prediction	NOUN
fcis-23825	126	29	model	model	NOUN
fcis-23825	126	30	for	for	ADP
fcis-23825	126	31	dissolved	dissolve	VERB
fcis-23825	126	32	oxygen	oxygen	NOUN
fcis-23825	126	33	.	.	PUNCT
fcis-23825	127	1	3	3	X
fcis-23825	127	2	.	.	X
fcis-23825	127	3	experimental	experimental	ADJ
fcis-23825	127	4	results	result	NOUN
fcis-23825	127	5	and	and	CCONJ
fcis-23825	127	6	analysis	analysis	NOUN
fcis-23825	127	7	3.1	3.1	NUM
fcis-23825	127	8	.	.	PUNCT
fcis-23825	128	1	stl	stl	PROPN
fcis-23825	128	2	decomposition	decomposition	NOUN
fcis-23825	128	3	results	result	NOUN
fcis-23825	128	4	there	there	PRON
fcis-23825	128	5	is	be	VERB
fcis-23825	128	6	an	an	DET
fcis-23825	128	7	important	important	ADJ
fcis-23825	128	8	parameter	parameter	NOUN
fcis-23825	128	9	in	in	ADP
fcis-23825	128	10	the	the	DET
fcis-23825	128	11	stl	stl	PROPN
fcis-23825	128	12	algorithm	algorithm	PROPN
fcis-23825	128	13	,	,	PUNCT
fcis-23825	128	14	which	which	PRON
fcis-23825	128	15	is	be	AUX
fcis-23825	128	16	,	,	PUNCT
fcis-23825	128	17	the	the	DET
fcis-23825	128	18	number	number	NOUN
fcis-23825	128	19	of	of	ADP
fcis-23825	128	20	observation	observation	NOUN
fcis-23825	128	21	points	point	NOUN
fcis-23825	128	22	in	in	ADP
fcis-23825	128	23	one	one	NUM
fcis-23825	128	24	period	period	NOUN
fcis-23825	128	25	.	.	PUNCT
fcis-23825	129	1	due	due	ADP
fcis-23825	129	2	to	to	ADP
fcis-23825	129	3	the	the	DET
fcis-23825	129	4	correlation	correlation	NOUN
fcis-23825	129	5	between	between	ADP
fcis-23825	129	6	dissolved	dissolve	VERB
fcis-23825	129	7	oxygen	oxygen	NOUN
fcis-23825	129	8	and	and	CCONJ
fcis-23825	129	9	water	water	NOUN
fcis-23825	129	10	temperature	temperature	NOUN
fcis-23825	129	11	,	,	PUNCT
fcis-23825	129	12	and	and	CCONJ
fcis-23825	129	13	the	the	DET
fcis-23825	129	14	periodicity	periodicity	NOUN
fcis-23825	129	15	of	of	ADP
fcis-23825	129	16	water	water	NOUN
fcis-23825	129	17	temperature	temperature	NOUN
fcis-23825	129	18	on	on	ADP
fcis-23825	129	19	a	a	DET
fcis-23825	129	20	daily	daily	ADJ
fcis-23825	129	21	time	time	NOUN
fcis-23825	129	22	scale	scale	NOUN
fcis-23825	129	23	,	,	PUNCT
fcis-23825	129	24	this	this	DET
fcis-23825	129	25	study	study	NOUN
fcis-23825	129	26	sets	set	VERB
fcis-23825	129	27	the	the	DET
fcis-23825	129	28	period	period	NOUN
fcis-23825	129	29	of	of	ADP
fcis-23825	129	30	dissolved	dissolved	ADJ
fcis-23825	129	31	oxygen	oxygen	NOUN
fcis-23825	129	32	as	as	ADP
fcis-23825	129	33	one	one	NUM
fcis-23825	129	34	day	day	NOUN
fcis-23825	129	35	.	.	PUNCT
fcis-23825	130	1	based	base	VERB
fcis-23825	130	2	on	on	ADP
fcis-23825	130	3	this	this	DET
fcis-23825	130	4	analysis	analysis	NOUN
fcis-23825	130	5	,	,	PUNCT
fcis-23825	130	6	the	the	DET
fcis-23825	130	7	number	number	NOUN
fcis-23825	130	8	of	of	ADP
fcis-23825	130	9	observation	observation	NOUN
fcis-23825	130	10	points	point	NOUN
fcis-23825	130	11	for	for	ADP
fcis-23825	130	12	the	the	DET
fcis-23825	130	13	period	period	NOUN
fcis-23825	130	14	in	in	ADP
fcis-23825	130	15	the	the	DET
fcis-23825	130	16	stl	stl	PROPN
fcis-23825	130	17	algorithm	algorithm	NOUN
fcis-23825	130	18	is	be	AUX
fcis-23825	130	19	set	set	VERB
fcis-23825	130	20	to	to	ADP
fcis-23825	130	21	48	48	NUM
fcis-23825	130	22	.	.	PUNCT
fcis-23825	131	1	after	after	SCONJ
fcis-23825	131	2	the	the	DET
fcis-23825	131	3	dissolved	dissolve	VERB
fcis-23825	131	4	oxygen	oxygen	NOUN
fcis-23825	131	5	sequence	sequence	NOUN
fcis-23825	131	6	undergoes	undergoe	NOUN
fcis-23825	131	7	stl	stl	PROPN
fcis-23825	131	8	decomposition	decomposition	NOUN
fcis-23825	131	9	,	,	PUNCT
fcis-23825	131	10	the	the	DET
fcis-23825	131	11	trend	trend	NOUN
fcis-23825	131	12	component	component	NOUN
fcis-23825	131	13	,	,	PUNCT
fcis-23825	131	14	seasonal	seasonal	ADJ
fcis-23825	131	15	component	component	NOUN
fcis-23825	131	16	,	,	PUNCT
fcis-23825	131	17	and	and	CCONJ
fcis-23825	131	18	residual	residual	ADJ
fcis-23825	131	19	component	component	NOUN
fcis-23825	131	20	are	be	AUX
fcis-23825	131	21	obtained	obtain	VERB
fcis-23825	131	22	.	.	PUNCT
fcis-23825	132	1	the	the	DET
fcis-23825	132	2	decomposition	decomposition	NOUN
fcis-23825	132	3	results	result	VERB
fcis-23825	132	4	within	within	ADP
fcis-23825	132	5	a	a	DET
fcis-23825	132	6	10	10	NUM
fcis-23825	132	7	-	-	PUNCT
fcis-23825	132	8	day	day	NOUN
fcis-23825	132	9	range	range	NOUN
fcis-23825	132	10	are	be	AUX
fcis-23825	132	11	shown	show	VERB
fcis-23825	132	12	below	below	ADP
fcis-23825	132	13	:	:	PUNCT
fcis-23825	132	14	fig	fig	NOUN
fcis-23825	132	15	4	4	NUM
fcis-23825	132	16	.	.	PUNCT
fcis-23825	132	17	original	original	ADJ
fcis-23825	132	18	sequence	sequence	NOUN
fcis-23825	132	19	and	and	CCONJ
fcis-23825	132	20	stl	stl	PROPN
fcis-23825	132	21	decomposition	decomposition	NOUN
fcis-23825	132	22	components	component	NOUN
fcis-23825	132	23	it	it	PRON
fcis-23825	132	24	can	can	AUX
fcis-23825	132	25	be	be	AUX
fcis-23825	132	26	seen	see	VERB
fcis-23825	132	27	from	from	ADP
fcis-23825	132	28	figure	figure	NOUN
fcis-23825	132	29	4	4	NUM
fcis-23825	132	30	that	that	SCONJ
fcis-23825	132	31	the	the	DET
fcis-23825	132	32	nonlinear	nonlinear	ADJ
fcis-23825	132	33	variation	variation	NOUN
fcis-23825	132	34	of	of	ADP
fcis-23825	132	35	the	the	DET
fcis-23825	132	36	original	original	ADJ
fcis-23825	132	37	dissolved	dissolve	VERB
fcis-23825	132	38	oxygen	oxygen	NOUN
fcis-23825	132	39	sequence	sequence	NOUN
fcis-23825	132	40	is	be	AUX
fcis-23825	132	41	decomposed	decompose	VERB
fcis-23825	132	42	into	into	ADP
fcis-23825	132	43	trend	trend	NOUN
fcis-23825	132	44	,	,	PUNCT
fcis-23825	132	45	seasonal	seasonal	ADJ
fcis-23825	132	46	,	,	PUNCT
fcis-23825	132	47	and	and	CCONJ
fcis-23825	132	48	residual	residual	ADJ
fcis-23825	132	49	components	component	NOUN
fcis-23825	132	50	.	.	PUNCT
fcis-23825	133	1	the	the	DET
fcis-23825	133	2	trend	trend	NOUN
fcis-23825	133	3	component	component	NOUN
fcis-23825	133	4	represents	represent	VERB
fcis-23825	133	5	the	the	DET
fcis-23825	133	6	low	low	ADJ
fcis-23825	133	7	-	-	PUNCT
fcis-23825	133	8	frequency	frequency	NOUN
fcis-23825	133	9	variation	variation	NOUN
fcis-23825	133	10	of	of	ADP
fcis-23825	133	11	dissolved	dissolved	ADJ
fcis-23825	133	12	oxygen	oxygen	NOUN
fcis-23825	133	13	,	,	PUNCT
fcis-23825	133	14	which	which	PRON
fcis-23825	133	15	changes	change	VERB
fcis-23825	133	16	slowly	slowly	ADV
fcis-23825	133	17	and	and	CCONJ
fcis-23825	133	18	is	be	AUX
fcis-23825	133	19	similar	similar	ADJ
fcis-23825	133	20	to	to	ADP
fcis-23825	133	21	the	the	DET
fcis-23825	133	22	original	original	ADJ
fcis-23825	133	23	dissolved	dissolve	VERB
fcis-23825	133	24	oxygen	oxygen	NOUN
fcis-23825	133	25	trend	trend	NOUN
fcis-23825	133	26	sequence	sequence	NOUN
fcis-23825	133	27	,	,	PUNCT
fcis-23825	133	28	describing	describe	VERB
fcis-23825	133	29	the	the	DET
fcis-23825	133	30	overall	overall	ADJ
fcis-23825	133	31	trend	trend	NOUN
fcis-23825	133	32	of	of	ADP
fcis-23825	133	33	dissolved	dissolve	VERB
fcis-23825	133	34	oxygen	oxygen	NOUN
fcis-23825	133	35	.	.	PUNCT
fcis-23825	134	1	the	the	DET
fcis-23825	134	2	seasonal	seasonal	ADJ
fcis-23825	134	3	component	component	NOUN
fcis-23825	134	4	has	have	VERB
fcis-23825	134	5	a	a	DET
fcis-23825	134	6	period	period	NOUN
fcis-23825	134	7	of	of	ADP
fcis-23825	134	8	approximately	approximately	ADV
fcis-23825	134	9	one	one	NUM
fcis-23825	134	10	day	day	NOUN
fcis-23825	134	11	and	and	CCONJ
fcis-23825	134	12	exhibits	exhibit	VERB
fcis-23825	134	13	obvious	obvious	ADJ
fcis-23825	134	14	periodic	periodic	ADJ
fcis-23825	134	15	characteristics	characteristic	NOUN
fcis-23825	134	16	,	,	PUNCT
fcis-23825	134	17	describing	describe	VERB
fcis-23825	134	18	the	the	DET
fcis-23825	134	19	periodic	periodic	ADJ
fcis-23825	134	20	properties	property	NOUN
fcis-23825	134	21	of	of	ADP
fcis-23825	134	22	dissolved	dissolved	ADJ
fcis-23825	134	23	oxygen	oxygen	NOUN
fcis-23825	134	24	.	.	PUNCT
fcis-23825	135	1	the	the	DET
fcis-23825	135	2	residual	residual	ADJ
fcis-23825	135	3	component	component	NOUN
fcis-23825	135	4	is	be	AUX
fcis-23825	135	5	the	the	DET
fcis-23825	135	6	remaining	remain	VERB
fcis-23825	135	7	term	term	NOUN
fcis-23825	135	8	of	of	ADP
fcis-23825	135	9	the	the	DET
fcis-23825	135	10	dissolved	dissolve	VERB
fcis-23825	135	11	oxygen	oxygen	NOUN
fcis-23825	135	12	time	time	NOUN
fcis-23825	135	13	series	series	NOUN
fcis-23825	135	14	after	after	ADP
fcis-23825	135	15	removing	remove	VERB
fcis-23825	135	16	the	the	DET
fcis-23825	135	17	trend	trend	NOUN
fcis-23825	135	18	and	and	CCONJ
fcis-23825	135	19	seasonal	seasonal	ADJ
fcis-23825	135	20	components	component	NOUN
fcis-23825	135	21	,	,	PUNCT
fcis-23825	135	22	and	and	CCONJ
fcis-23825	135	23	it	it	PRON
fcis-23825	135	24	exhibits	exhibit	VERB
fcis-23825	135	25	strong	strong	ADJ
fcis-23825	135	26	randomness	randomness	NOUN
fcis-23825	135	27	,	,	PUNCT
fcis-23825	135	28	describing	describe	VERB
fcis-23825	135	29	the	the	DET
fcis-23825	135	30	random	random	ADJ
fcis-23825	135	31	variations	variation	NOUN
fcis-23825	135	32	of	of	ADP
fcis-23825	135	33	the	the	DET
fcis-23825	135	34	dissolved	dissolve	VERB
fcis-23825	135	35	oxygen	oxygen	NOUN
fcis-23825	135	36	sequence	sequence	NOUN
fcis-23825	135	37	.	.	PUNCT
fcis-23825	136	1	3.2	3.2	NUM
fcis-23825	136	2	.	.	PUNCT
fcis-23825	136	3	model	model	NOUN
fcis-23825	136	4	comparative	comparative	ADJ
fcis-23825	136	5	analysis	analysis	NOUN
fcis-23825	136	6	in	in	ADP
fcis-23825	136	7	order	order	NOUN
fcis-23825	136	8	to	to	PART
fcis-23825	136	9	verify	verify	VERB
fcis-23825	136	10	the	the	DET
fcis-23825	136	11	prediction	prediction	NOUN
fcis-23825	136	12	performance	performance	NOUN
fcis-23825	136	13	of	of	ADP
fcis-23825	136	14	the	the	DET
fcis-23825	136	15	stlmimo	stlmimo	NOUN
fcis-23825	136	16	-	-	PUNCT
fcis-23825	136	17	lstm	lstm	NOUN
fcis-23825	136	18	model	model	NOUN
fcis-23825	136	19	,	,	PUNCT
fcis-23825	136	20	it	it	PRON
fcis-23825	136	21	is	be	AUX
fcis-23825	136	22	compared	compare	VERB
fcis-23825	136	23	with	with	ADP
fcis-23825	136	24	other	other	ADJ
fcis-23825	136	25	models	model	NOUN
fcis-23825	136	26	such	such	ADJ
fcis-23825	136	27	as	as	ADP
fcis-23825	136	28	direct	direct	ADJ
fcis-23825	136	29	-	-	PUNCT
fcis-23825	136	30	lstm	lstm	ADJ
fcis-23825	136	31	,	,	PUNCT
fcis-23825	136	32	mimo	mimo	PROPN
fcis-23825	136	33	-	-	PUNCT
fcis-23825	136	34	lstm	lstm	PROPN
fcis-23825	136	35	,	,	PUNCT
fcis-23825	136	36	stl	stl	PROPN
fcis-23825	136	37	-	-	PUNCT
fcis-23825	136	38	direct	direct	ADJ
fcis-23825	136	39	-	-	PUNCT
fcis-23825	136	40	lstm	lstm	NOUN
fcis-23825	136	41	,	,	PUNCT
fcis-23825	136	42	and	and	CCONJ
fcis-23825	136	43	recursion	recursion	NOUN
fcis-23825	136	44	-	-	PUNCT
fcis-23825	136	45	lstm	lstm	NOUN
fcis-23825	136	46	.	.	PUNCT
fcis-23825	137	1	the	the	DET
fcis-23825	137	2	multi	multi	ADJ
fcis-23825	137	3	-	-	ADJ
fcis-23825	137	4	output	output	ADJ
fcis-23825	137	5	data	datum	NOUN
fcis-23825	137	6	for	for	ADP
fcis-23825	137	7	each	each	DET
fcis-23825	137	8	sample	sample	NOUN
fcis-23825	137	9	is	be	AUX
fcis-23825	137	10	the	the	DET
fcis-23825	137	11	dissolved	dissolve	VERB
fcis-23825	137	12	oxygen	oxygen	NOUN
fcis-23825	137	13	series	series	NOUN
fcis-23825	137	14	with	with	ADP
fcis-23825	137	15	a	a	DET
fcis-23825	137	16	time	time	NOUN
fcis-23825	137	17	step	step	NOUN
fcis-23825	137	18	of	of	ADP
fcis-23825	137	19	4	4	NUM
fcis-23825	137	20	.	.	PUNCT
fcis-23825	137	21	due	due	ADP
fcis-23825	137	22	to	to	ADP
fcis-23825	137	23	space	space	NOUN
fcis-23825	137	24	limitations	limitation	NOUN
fcis-23825	137	25	,	,	PUNCT
fcis-23825	137	26	it	it	PRON
fcis-23825	137	27	is	be	AUX
fcis-23825	137	28	impossible	impossible	ADJ
fcis-23825	137	29	to	to	PART
fcis-23825	137	30	plot	plot	VERB
fcis-23825	137	31	charts	chart	NOUN
fcis-23825	137	32	showing	show	VERB
fcis-23825	137	33	all	all	DET
fcis-23825	137	34	test	test	NOUN
fcis-23825	137	35	samples	sample	NOUN
fcis-23825	137	36	,	,	PUNCT
fcis-23825	137	37	in	in	ADP
fcis-23825	137	38	chronological	chronological	ADJ
fcis-23825	137	39	order	order	NOUN
fcis-23825	137	40	.	.	PUNCT
fcis-23825	138	1	to	to	PART
fcis-23825	138	2	better	well	ADV
fcis-23825	138	3	display	display	VERB
fcis-23825	138	4	the	the	DET
fcis-23825	138	5	predicted	predict	VERB
fcis-23825	138	6	results	result	NOUN
fcis-23825	138	7	of	of	ADP
fcis-23825	138	8	the	the	DET
fcis-23825	138	9	dissolved	dissolve	VERB
fcis-23825	138	10	oxygen	oxygen	NOUN
fcis-23825	138	11	sequence	sequence	NOUN
fcis-23825	138	12	,	,	PUNCT
fcis-23825	138	13	this	this	DET
fcis-23825	138	14	study	study	NOUN
fcis-23825	138	15	displays	display	VERB
fcis-23825	138	16	the	the	DET
fcis-23825	138	17	predictions	prediction	NOUN
fcis-23825	138	18	for	for	ADP
fcis-23825	138	19	the	the	DET
fcis-23825	138	20	next	next	ADJ
fcis-23825	138	21	4	4	NUM
fcis-23825	138	22	-	-	PUNCT
fcis-23825	138	23	time	time	NOUN
fcis-23825	138	24	steps	step	NOUN
fcis-23825	138	25	sequentially	sequentially	ADV
fcis-23825	138	26	.	.	PUNCT
fcis-23825	139	1	since	since	SCONJ
fcis-23825	139	2	there	there	PRON
fcis-23825	139	3	are	be	VERB
fcis-23825	139	4	many	many	ADJ
fcis-23825	139	5	data	datum	NOUN
fcis-23825	139	6	points	point	NOUN
fcis-23825	139	7	,	,	PUNCT
fcis-23825	139	8	the	the	DET
fcis-23825	139	9	following	follow	VERB
fcis-23825	139	10	text	text	NOUN
fcis-23825	139	11	shows	show	VERB
fcis-23825	139	12	the	the	DET
fcis-23825	139	13	predicted	predict	VERB
fcis-23825	139	14	results	result	NOUN
fcis-23825	139	15	for	for	ADP
fcis-23825	139	16	48	48	NUM
fcis-23825	139	17	data	datum	NOUN
fcis-23825	139	18	points	point	NOUN
fcis-23825	139	19	for	for	ADP
fcis-23825	139	20	each	each	DET
fcis-23825	139	21	time	time	NOUN
fcis-23825	139	22	step	step	NOUN
fcis-23825	139	23	.	.	PUNCT
fcis-23825	140	1	fig	fig	NOUN
fcis-23825	140	2	5	5	NUM
fcis-23825	140	3	.	.	PUNCT
fcis-23825	140	4	predicted	predict	VERB
fcis-23825	140	5	results	result	NOUN
fcis-23825	140	6	of	of	ADP
fcis-23825	140	7	the	the	DET
fcis-23825	140	8	5	5	NUM
fcis-23825	140	9	models	model	NOUN
fcis-23825	140	10	for	for	ADP
fcis-23825	140	11	the	the	DET
fcis-23825	140	12	next	next	ADJ
fcis-23825	140	13	1	1	NUM
fcis-23825	140	14	time	time	NOUN
fcis-23825	140	15	step	step	NOUN
fcis-23825	140	16	figure	figure	NOUN
fcis-23825	140	17	5	5	NUM
fcis-23825	140	18	shows	show	VERB
fcis-23825	140	19	the	the	DET
fcis-23825	140	20	predicted	predict	VERB
fcis-23825	140	21	results	result	NOUN
fcis-23825	140	22	of	of	ADP
fcis-23825	140	23	the	the	DET
fcis-23825	140	24	dissolved	dissolve	VERB
fcis-23825	140	25	oxygen	oxygen	NOUN
fcis-23825	140	26	content	content	NOUN
fcis-23825	140	27	of	of	ADP
fcis-23825	140	28	the	the	DET
fcis-23825	140	29	five	five	NUM
fcis-23825	140	30	models	model	NOUN
fcis-23825	140	31	in	in	ADP
fcis-23825	140	32	the	the	DET
fcis-23825	140	33	next	next	ADJ
fcis-23825	140	34	1	1	NUM
fcis-23825	140	35	time	time	NOUN
fcis-23825	140	36	step	step	NOUN
fcis-23825	140	37	.	.	PUNCT
fcis-23825	141	1	it	it	PRON
fcis-23825	141	2	10	10	NUM
fcis-23825	141	3	can	can	AUX
fcis-23825	141	4	be	be	AUX
fcis-23825	141	5	seen	see	VERB
fcis-23825	141	6	from	from	ADP
fcis-23825	141	7	figure	figure	NOUN
fcis-23825	141	8	5	5	NUM
fcis-23825	141	9	that	that	SCONJ
fcis-23825	141	10	the	the	DET
fcis-23825	141	11	error	error	NOUN
fcis-23825	141	12	between	between	ADP
fcis-23825	141	13	the	the	DET
fcis-23825	141	14	predicted	predict	VERB
fcis-23825	141	15	values	value	NOUN
fcis-23825	141	16	and	and	CCONJ
fcis-23825	141	17	the	the	DET
fcis-23825	141	18	true	true	ADJ
fcis-23825	141	19	values	value	NOUN
fcis-23825	141	20	of	of	ADP
fcis-23825	141	21	the	the	DET
fcis-23825	141	22	five	five	NUM
fcis-23825	141	23	models	model	NOUN
fcis-23825	141	24	are	be	AUX
fcis-23825	141	25	almost	almost	ADV
fcis-23825	141	26	less	less	ADJ
fcis-23825	141	27	than	than	ADP
fcis-23825	141	28	0.1	0.1	NUM
fcis-23825	141	29	,	,	PUNCT
fcis-23825	141	30	indicating	indicate	VERB
fcis-23825	141	31	small	small	ADJ
fcis-23825	141	32	errors	error	NOUN
fcis-23825	141	33	and	and	CCONJ
fcis-23825	141	34	good	good	ADJ
fcis-23825	141	35	prediction	prediction	NOUN
fcis-23825	141	36	accuracy	accuracy	NOUN
fcis-23825	141	37	for	for	ADP
fcis-23825	141	38	the	the	DET
fcis-23825	141	39	first	first	ADJ
fcis-23825	141	40	time	time	NOUN
fcis-23825	141	41	step	step	NOUN
fcis-23825	141	42	.	.	PUNCT
fcis-23825	142	1	the	the	DET
fcis-23825	142	2	predicted	predict	VERB
fcis-23825	142	3	values	value	NOUN
fcis-23825	142	4	of	of	ADP
fcis-23825	142	5	the	the	DET
fcis-23825	142	6	mimolstm	mimolstm	PROPN
fcis-23825	142	7	model	model	NOUN
fcis-23825	142	8	are	be	AUX
fcis-23825	142	9	lower	low	ADJ
fcis-23825	142	10	than	than	ADP
fcis-23825	142	11	the	the	DET
fcis-23825	142	12	true	true	ADJ
fcis-23825	142	13	value	value	NOUN
fcis-23825	142	14	,	,	PUNCT
fcis-23825	142	15	and	and	CCONJ
fcis-23825	142	16	compared	compare	VERB
fcis-23825	142	17	to	to	ADP
fcis-23825	142	18	the	the	DET
fcis-23825	142	19	other	other	ADJ
fcis-23825	142	20	four	four	NUM
fcis-23825	142	21	models	model	NOUN
fcis-23825	142	22	,	,	PUNCT
fcis-23825	142	23	it	it	PRON
fcis-23825	142	24	has	have	VERB
fcis-23825	142	25	lower	low	ADJ
fcis-23825	142	26	prediction	prediction	NOUN
fcis-23825	142	27	accuracy	accuracy	NOUN
fcis-23825	142	28	.	.	PUNCT
fcis-23825	143	1	the	the	DET
fcis-23825	143	2	predicted	predict	VERB
fcis-23825	143	3	values	value	NOUN
fcis-23825	143	4	of	of	ADP
fcis-23825	143	5	direct	direct	ADJ
fcis-23825	143	6	-	-	PUNCT
fcis-23825	143	7	lstm	lstm	ADJ
fcis-23825	143	8	and	and	CCONJ
fcis-23825	143	9	recursionlstm	recursionlstm	NOUN
fcis-23825	143	10	models	model	NOUN
fcis-23825	143	11	for	for	ADP
fcis-23825	143	12	the	the	DET
fcis-23825	143	13	first	first	ADJ
fcis-23825	143	14	-	-	PUNCT
fcis-23825	143	15	time	time	NOUN
fcis-23825	143	16	step	step	NOUN
fcis-23825	143	17	are	be	AUX
fcis-23825	143	18	the	the	DET
fcis-23825	143	19	same	same	ADJ
fcis-23825	143	20	because	because	SCONJ
fcis-23825	143	21	the	the	DET
fcis-23825	143	22	recursion	recursion	NOUN
fcis-23825	143	23	-	-	PUNCT
fcis-23825	143	24	lstm	lstm	NOUN
fcis-23825	143	25	model	model	NOUN
fcis-23825	143	26	uses	use	VERB
fcis-23825	143	27	the	the	DET
fcis-23825	143	28	same	same	ADJ
fcis-23825	143	29	model	model	NOUN
fcis-23825	143	30	as	as	ADP
fcis-23825	143	31	the	the	DET
fcis-23825	143	32	direct	direct	NOUN
fcis-23825	143	33	-	-	PUNCT
fcis-23825	143	34	lstm	lstm	NOUN
fcis-23825	143	35	for	for	ADP
fcis-23825	143	36	the	the	DET
fcis-23825	143	37	first	first	ADJ
fcis-23825	143	38	-	-	PUNCT
fcis-23825	143	39	time	time	NOUN
fcis-23825	143	40	step	step	NOUN
fcis-23825	143	41	.	.	PUNCT
fcis-23825	144	1	fig	fig	NOUN
fcis-23825	144	2	6	6	NUM
fcis-23825	144	3	.	.	PUNCT
fcis-23825	144	4	predicted	predict	VERB
fcis-23825	144	5	results	result	NOUN
fcis-23825	144	6	of	of	ADP
fcis-23825	144	7	the	the	DET
fcis-23825	144	8	5	5	NUM
fcis-23825	144	9	models	model	NOUN
fcis-23825	144	10	for	for	ADP
fcis-23825	144	11	the	the	DET
fcis-23825	144	12	next	next	ADJ
fcis-23825	144	13	2	2	NUM
fcis-23825	144	14	time	time	NOUN
fcis-23825	144	15	step	step	NOUN
fcis-23825	144	16	figure	figure	NOUN
fcis-23825	144	17	6	6	NUM
fcis-23825	144	18	shows	show	VERB
fcis-23825	144	19	the	the	DET
fcis-23825	144	20	predicted	predict	VERB
fcis-23825	144	21	results	result	NOUN
fcis-23825	144	22	of	of	ADP
fcis-23825	144	23	the	the	DET
fcis-23825	144	24	five	five	NUM
fcis-23825	144	25	models	model	NOUN
fcis-23825	144	26	for	for	ADP
fcis-23825	144	27	the	the	DET
fcis-23825	144	28	dissolved	dissolve	VERB
fcis-23825	144	29	oxygen	oxygen	NOUN
fcis-23825	144	30	concentration	concentration	NOUN
fcis-23825	144	31	in	in	ADP
fcis-23825	144	32	the	the	DET
fcis-23825	144	33	next	next	ADJ
fcis-23825	144	34	2	2	NUM
fcis-23825	144	35	time	time	NOUN
fcis-23825	144	36	steps	step	NOUN
fcis-23825	144	37	.	.	PUNCT
fcis-23825	145	1	it	it	PRON
fcis-23825	145	2	can	can	AUX
fcis-23825	145	3	be	be	AUX
fcis-23825	145	4	seen	see	VERB
fcis-23825	145	5	from	from	ADP
fcis-23825	145	6	the	the	DET
fcis-23825	145	7	range	range	NOUN
fcis-23825	145	8	of	of	ADP
fcis-23825	145	9	20	20	NUM
fcis-23825	145	10	-	-	SYM
fcis-23825	145	11	40	40	NUM
fcis-23825	145	12	in	in	ADP
fcis-23825	145	13	figure	figure	NOUN
fcis-23825	145	14	6	6	NUM
fcis-23825	145	15	that	that	SCONJ
fcis-23825	145	16	the	the	DET
fcis-23825	145	17	five	five	NUM
fcis-23825	145	18	models	model	NOUN
fcis-23825	145	19	for	for	ADP
fcis-23825	145	20	the	the	DET
fcis-23825	145	21	dissolved	dissolve	VERB
fcis-23825	145	22	oxygen	oxygen	NOUN
fcis-23825	145	23	content	content	NOUN
fcis-23825	145	24	in	in	ADP
fcis-23825	145	25	the	the	DET
fcis-23825	145	26	next	next	ADJ
fcis-23825	145	27	2	2	NUM
fcis-23825	145	28	time	time	NOUN
fcis-23825	145	29	steps	step	NOUN
fcis-23825	145	30	,	,	PUNCT
fcis-23825	145	31	among	among	ADP
fcis-23825	145	32	them	they	PRON
fcis-23825	145	33	,	,	PUNCT
fcis-23825	145	34	the	the	DET
fcis-23825	145	35	mimo	mimo	PROPN
fcis-23825	145	36	-	-	PUNCT
fcis-23825	145	37	lstm	lstm	PROPN
fcis-23825	145	38	,	,	PUNCT
fcis-23825	145	39	recursion	recursion	NOUN
fcis-23825	145	40	-	-	PUNCT
fcis-23825	145	41	lstm	lstm	NOUN
fcis-23825	145	42	,	,	PUNCT
fcis-23825	145	43	and	and	CCONJ
fcis-23825	145	44	direct	direct	ADJ
fcis-23825	145	45	-	-	PUNCT
fcis-23825	145	46	lstm	lstm	NOUN
fcis-23825	145	47	models	model	NOUN
fcis-23825	145	48	show	show	VERB
fcis-23825	145	49	the	the	DET
fcis-23825	145	50	most	most	ADV
fcis-23825	145	51	obvious	obvious	ADJ
fcis-23825	145	52	lag	lag	NOUN
fcis-23825	145	53	,	,	PUNCT
fcis-23825	145	54	followed	follow	VERB
fcis-23825	145	55	by	by	ADP
fcis-23825	145	56	the	the	DET
fcis-23825	145	57	stl	stl	PROPN
fcis-23825	145	58	-	-	PUNCT
fcis-23825	145	59	mimo	mimo	PROPN
fcis-23825	145	60	-	-	PUNCT
fcis-23825	145	61	lstm	lstm	PROPN
fcis-23825	145	62	and	and	CCONJ
fcis-23825	145	63	stl	stl	PROPN
fcis-23825	145	64	-	-	PUNCT
fcis-23825	145	65	directlstm	directlstm	ADJ
fcis-23825	145	66	models	model	NOUN
fcis-23825	145	67	.	.	PUNCT
fcis-23825	146	1	fig	fig	NOUN
fcis-23825	146	2	7	7	NUM
fcis-23825	146	3	.	.	PUNCT
fcis-23825	146	4	predicted	predict	VERB
fcis-23825	146	5	results	result	NOUN
fcis-23825	146	6	of	of	ADP
fcis-23825	146	7	the	the	DET
fcis-23825	146	8	5	5	NUM
fcis-23825	146	9	models	model	NOUN
fcis-23825	146	10	for	for	ADP
fcis-23825	146	11	the	the	DET
fcis-23825	146	12	next	next	ADJ
fcis-23825	146	13	3	3	NUM
fcis-23825	146	14	time	time	NOUN
fcis-23825	146	15	step	step	NOUN
fcis-23825	146	16	figure	figure	NOUN
fcis-23825	146	17	7	7	NUM
fcis-23825	146	18	shows	show	VERB
fcis-23825	146	19	the	the	DET
fcis-23825	146	20	predicted	predict	VERB
fcis-23825	146	21	results	result	NOUN
fcis-23825	146	22	of	of	ADP
fcis-23825	146	23	the	the	DET
fcis-23825	146	24	five	five	NUM
fcis-23825	146	25	models	model	NOUN
fcis-23825	146	26	for	for	ADP
fcis-23825	146	27	the	the	DET
fcis-23825	146	28	dissolved	dissolve	VERB
fcis-23825	146	29	oxygen	oxygen	NOUN
fcis-23825	146	30	content	content	NOUN
fcis-23825	146	31	in	in	ADP
fcis-23825	146	32	the	the	DET
fcis-23825	146	33	next	next	ADJ
fcis-23825	146	34	3	3	NUM
fcis-23825	146	35	time	time	NOUN
fcis-23825	146	36	steps	step	NOUN
fcis-23825	146	37	.	.	PUNCT
fcis-23825	147	1	from	from	ADP
fcis-23825	147	2	figure	figure	NOUN
fcis-23825	147	3	7	7	NUM
fcis-23825	147	4	,	,	PUNCT
fcis-23825	147	5	it	it	PRON
fcis-23825	147	6	can	can	AUX
fcis-23825	147	7	be	be	AUX
fcis-23825	147	8	seen	see	VERB
fcis-23825	147	9	that	that	SCONJ
fcis-23825	147	10	all	all	DET
fcis-23825	147	11	five	five	NUM
fcis-23825	147	12	models	model	NOUN
fcis-23825	147	13	still	still	ADV
fcis-23825	147	14	exhibit	exhibit	VERB
fcis-23825	147	15	a	a	DET
fcis-23825	147	16	lag	lag	NOUN
fcis-23825	147	17	.	.	PUNCT
fcis-23825	148	1	the	the	DET
fcis-23825	148	2	predicted	predict	VERB
fcis-23825	148	3	values	value	NOUN
fcis-23825	148	4	of	of	ADP
fcis-23825	148	5	the	the	DET
fcis-23825	148	6	recursion	recursion	NOUN
fcis-23825	148	7	-	-	PUNCT
fcis-23825	148	8	lstm	lstm	NOUN
fcis-23825	148	9	model	model	NOUN
fcis-23825	148	10	are	be	AUX
fcis-23825	148	11	relatively	relatively	ADV
fcis-23825	148	12	higher	high	ADJ
fcis-23825	148	13	than	than	ADP
fcis-23825	148	14	the	the	DET
fcis-23825	148	15	true	true	ADJ
fcis-23825	148	16	values	value	NOUN
fcis-23825	148	17	,	,	PUNCT
fcis-23825	148	18	while	while	SCONJ
fcis-23825	148	19	the	the	DET
fcis-23825	148	20	predicted	predict	VERB
fcis-23825	148	21	values	value	NOUN
fcis-23825	148	22	of	of	ADP
fcis-23825	148	23	the	the	DET
fcis-23825	148	24	direct	direct	ADJ
fcis-23825	148	25	-	-	PUNCT
fcis-23825	148	26	lstm	lstm	NOUN
fcis-23825	148	27	,	,	PUNCT
fcis-23825	148	28	mimo	mimo	PROPN
fcis-23825	148	29	-	-	PUNCT
fcis-23825	148	30	lstm	lstm	PROPN
fcis-23825	148	31	,	,	PUNCT
fcis-23825	148	32	and	and	CCONJ
fcis-23825	148	33	recursion	recursion	NOUN
fcis-23825	148	34	-	-	PUNCT
fcis-23825	148	35	lstm	lstm	NOUN
fcis-23825	148	36	models	model	NOUN
fcis-23825	148	37	are	be	AUX
fcis-23825	148	38	relatively	relatively	ADV
fcis-23825	148	39	lower	low	ADJ
fcis-23825	148	40	,	,	PUNCT
fcis-23825	148	41	resulting	result	VERB
fcis-23825	148	42	in	in	ADP
fcis-23825	148	43	slightly	slightly	ADV
fcis-23825	148	44	lower	low	ADJ
fcis-23825	148	45	prediction	prediction	NOUN
fcis-23825	148	46	accuracy	accuracy	NOUN
fcis-23825	148	47	.	.	PUNCT
fcis-23825	149	1	the	the	DET
fcis-23825	149	2	predicted	predict	VERB
fcis-23825	149	3	values	value	NOUN
fcis-23825	149	4	of	of	ADP
fcis-23825	149	5	the	the	DET
fcis-23825	149	6	stl	stl	PROPN
fcis-23825	149	7	-	-	PUNCT
fcis-23825	149	8	mimo	mimo	PROPN
fcis-23825	149	9	-	-	PUNCT
fcis-23825	149	10	lstm	lstm	PROPN
fcis-23825	149	11	and	and	CCONJ
fcis-23825	149	12	stl	stl	PROPN
fcis-23825	149	13	-	-	PUNCT
fcis-23825	149	14	direct	direct	ADJ
fcis-23825	149	15	-	-	PUNCT
fcis-23825	149	16	lstm	lstm	NOUN
fcis-23825	149	17	models	model	NOUN
fcis-23825	149	18	are	be	AUX
fcis-23825	149	19	closer	close	ADJ
fcis-23825	149	20	to	to	ADP
fcis-23825	149	21	the	the	DET
fcis-23825	149	22	true	true	ADJ
fcis-23825	149	23	values	value	NOUN
fcis-23825	149	24	,	,	PUNCT
fcis-23825	149	25	indicating	indicate	VERB
fcis-23825	149	26	higher	high	ADJ
fcis-23825	149	27	prediction	prediction	NOUN
fcis-23825	149	28	accuracy	accuracy	NOUN
fcis-23825	149	29	.	.	PUNCT
fcis-23825	150	1	fig	fig	NOUN
fcis-23825	150	2	8	8	NUM
fcis-23825	150	3	.	.	PUNCT
fcis-23825	150	4	predicted	predict	VERB
fcis-23825	150	5	results	result	NOUN
fcis-23825	150	6	of	of	ADP
fcis-23825	150	7	the	the	DET
fcis-23825	150	8	5	5	NUM
fcis-23825	150	9	models	model	NOUN
fcis-23825	150	10	for	for	ADP
fcis-23825	150	11	the	the	DET
fcis-23825	150	12	next	next	ADJ
fcis-23825	150	13	3	3	NUM
fcis-23825	150	14	time	time	NOUN
fcis-23825	150	15	step	step	NOUN
fcis-23825	150	16	figure	figure	NOUN
fcis-23825	150	17	8	8	NUM
fcis-23825	150	18	shows	show	VERB
fcis-23825	150	19	the	the	DET
fcis-23825	150	20	predicted	predict	VERB
fcis-23825	150	21	results	result	NOUN
fcis-23825	150	22	of	of	ADP
fcis-23825	150	23	the	the	DET
fcis-23825	150	24	five	five	NUM
fcis-23825	150	25	models	model	NOUN
fcis-23825	150	26	for	for	ADP
fcis-23825	150	27	the	the	DET
fcis-23825	150	28	dissolved	dissolve	VERB
fcis-23825	150	29	oxygen	oxygen	NOUN
fcis-23825	150	30	content	content	NOUN
fcis-23825	150	31	in	in	ADP
fcis-23825	150	32	the	the	DET
fcis-23825	150	33	next	next	ADJ
fcis-23825	150	34	4	4	NUM
fcis-23825	150	35	time	time	NOUN
fcis-23825	150	36	steps	step	NOUN
fcis-23825	150	37	.	.	PUNCT
fcis-23825	151	1	from	from	ADP
fcis-23825	151	2	11	11	NUM
fcis-23825	151	3	figure	figure	NOUN
fcis-23825	151	4	8	8	NUM
fcis-23825	151	5	,	,	PUNCT
fcis-23825	151	6	it	it	PRON
fcis-23825	151	7	can	can	AUX
fcis-23825	151	8	be	be	AUX
fcis-23825	151	9	observed	observe	VERB
fcis-23825	151	10	that	that	SCONJ
fcis-23825	151	11	the	the	DET
fcis-23825	151	12	mimo	mimo	PROPN
fcis-23825	151	13	-	-	PUNCT
fcis-23825	151	14	lstm	lstm	PROPN
fcis-23825	151	15	,	,	PUNCT
fcis-23825	151	16	directlstm	directlstm	ADJ
fcis-23825	151	17	,	,	PUNCT
fcis-23825	151	18	and	and	CCONJ
fcis-23825	151	19	recursion	recursion	NOUN
fcis-23825	151	20	-	-	PUNCT
fcis-23825	151	21	lstm	lstm	NOUN
fcis-23825	151	22	models	model	NOUN
fcis-23825	151	23	still	still	ADV
fcis-23825	151	24	exhibit	exhibit	VERB
fcis-23825	151	25	a	a	DET
fcis-23825	151	26	lag	lag	NOUN
fcis-23825	151	27	,	,	PUNCT
fcis-23825	151	28	and	and	CCONJ
fcis-23825	151	29	the	the	DET
fcis-23825	151	30	predicted	predict	VERB
fcis-23825	151	31	values	value	NOUN
fcis-23825	151	32	of	of	ADP
fcis-23825	151	33	the	the	DET
fcis-23825	151	34	recursion	recursion	NOUN
fcis-23825	151	35	-	-	PUNCT
fcis-23825	151	36	lstm	lstm	NOUN
fcis-23825	151	37	model	model	NOUN
fcis-23825	151	38	are	be	AUX
fcis-23825	151	39	significantly	significantly	ADV
fcis-23825	151	40	higher	high	ADJ
fcis-23825	151	41	,	,	PUNCT
fcis-23825	151	42	indicating	indicate	VERB
fcis-23825	151	43	poor	poor	ADJ
fcis-23825	151	44	prediction	prediction	NOUN
fcis-23825	151	45	accuracy	accuracy	NOUN
fcis-23825	151	46	for	for	ADP
fcis-23825	151	47	the	the	DET
fcis-23825	151	48	recursion	recursion	NOUN
fcis-23825	151	49	strategy	strategy	NOUN
fcis-23825	151	50	in	in	ADP
fcis-23825	151	51	multi	multi	ADJ
fcis-23825	151	52	-	-	ADJ
fcis-23825	151	53	step	step	ADJ
fcis-23825	151	54	time	time	NOUN
fcis-23825	151	55	series	series	PROPN
fcis-23825	151	56	prediction	prediction	PROPN
fcis-23825	151	57	.	.	PUNCT
fcis-23825	152	1	compared	compare	VERB
fcis-23825	152	2	to	to	ADP
fcis-23825	152	3	the	the	DET
fcis-23825	152	4	other	other	ADJ
fcis-23825	152	5	models	model	NOUN
fcis-23825	152	6	,	,	PUNCT
fcis-23825	152	7	the	the	DET
fcis-23825	152	8	stl	stl	PROPN
fcis-23825	152	9	-	-	PUNCT
fcis-23825	152	10	mimolstm	mimolstm	PROPN
fcis-23825	152	11	model	model	NOUN
fcis-23825	152	12	shows	show	VERB
fcis-23825	152	13	a	a	DET
fcis-23825	152	14	significant	significant	ADJ
fcis-23825	152	15	reduction	reduction	NOUN
fcis-23825	152	16	in	in	ADP
fcis-23825	152	17	lag	lag	NOUN
fcis-23825	152	18	,	,	PUNCT
fcis-23825	152	19	and	and	CCONJ
fcis-23825	152	20	the	the	DET
fcis-23825	152	21	predicted	predict	VERB
fcis-23825	152	22	values	value	NOUN
fcis-23825	152	23	are	be	AUX
fcis-23825	152	24	closer	close	ADJ
fcis-23825	152	25	to	to	ADP
fcis-23825	152	26	the	the	DET
fcis-23825	152	27	true	true	ADJ
fcis-23825	152	28	values	value	NOUN
fcis-23825	152	29	.	.	PUNCT
fcis-23825	153	1	fig	fig	NOUN
fcis-23825	153	2	9	9	NUM
fcis-23825	153	3	.	.	PUNCT
fcis-23825	154	1	the	the	DET
fcis-23825	154	2	mae	mae	PROPN
fcis-23825	154	3	evaluation	evaluation	NOUN
fcis-23825	154	4	metric	metric	ADJ
fcis-23825	154	5	results	result	NOUN
fcis-23825	154	6	of	of	ADP
fcis-23825	154	7	the	the	DET
fcis-23825	154	8	5	5	NUM
fcis-23825	154	9	models	model	NOUN
fcis-23825	154	10	for	for	ADP
fcis-23825	154	11	the	the	DET
fcis-23825	154	12	next	next	ADJ
fcis-23825	154	13	4	4	NUM
fcis-23825	154	14	time	time	NOUN
fcis-23825	154	15	steps	step	NOUN
fcis-23825	154	16	from	from	ADP
fcis-23825	154	17	figure	figure	NOUN
fcis-23825	154	18	9	9	NUM
fcis-23825	154	19	,	,	PUNCT
fcis-23825	154	20	it	it	PRON
fcis-23825	154	21	can	can	AUX
fcis-23825	154	22	be	be	AUX
fcis-23825	154	23	concluded	conclude	VERB
fcis-23825	154	24	that	that	SCONJ
fcis-23825	154	25	the	the	DET
fcis-23825	154	26	stl	stl	PROPN
fcis-23825	154	27	-	-	PUNCT
fcis-23825	154	28	mimolstm	mimolstm	PROPN
fcis-23825	154	29	model	model	NOUN
fcis-23825	154	30	has	have	VERB
fcis-23825	154	31	a	a	DET
fcis-23825	154	32	lower	low	ADJ
fcis-23825	154	33	mae	mae	NOUN
fcis-23825	154	34	at	at	ADP
fcis-23825	154	35	the	the	DET
fcis-23825	154	36	first	first	ADJ
fcis-23825	154	37	time	time	NOUN
fcis-23825	154	38	step	step	NOUN
fcis-23825	154	39	,	,	PUNCT
fcis-23825	154	40	and	and	CCONJ
fcis-23825	154	41	the	the	DET
fcis-23825	154	42	mae	mae	PROPN
fcis-23825	154	43	at	at	ADP
fcis-23825	154	44	the	the	DET
fcis-23825	154	45	2nd	2nd	ADJ
fcis-23825	154	46	,	,	PUNCT
fcis-23825	154	47	3rd	3rd	ADJ
fcis-23825	154	48	,	,	PUNCT
fcis-23825	154	49	and	and	CCONJ
fcis-23825	154	50	4th	4th	ADJ
fcis-23825	154	51	time	time	NOUN
fcis-23825	154	52	steps	step	NOUN
fcis-23825	154	53	is	be	AUX
fcis-23825	154	54	the	the	DET
fcis-23825	154	55	lowest	low	ADJ
fcis-23825	154	56	,	,	PUNCT
fcis-23825	154	57	indicating	indicate	VERB
fcis-23825	154	58	that	that	SCONJ
fcis-23825	154	59	the	the	DET
fcis-23825	154	60	stl	stl	PROPN
fcis-23825	154	61	-	-	PUNCT
fcis-23825	154	62	mimo	mimo	PROPN
fcis-23825	154	63	-	-	PUNCT
fcis-23825	154	64	lstm	lstm	PROPN
fcis-23825	154	65	model	model	NOUN
fcis-23825	154	66	has	have	VERB
fcis-23825	154	67	the	the	DET
fcis-23825	154	68	best	good	ADJ
fcis-23825	154	69	prediction	prediction	NOUN
fcis-23825	154	70	performance	performance	NOUN
fcis-23825	154	71	.	.	PUNCT
fcis-23825	155	1	the	the	DET
fcis-23825	155	2	mae	mae	PROPN
fcis-23825	155	3	of	of	ADP
fcis-23825	155	4	stl	stl	PROPN
fcis-23825	155	5	-	-	PUNCT
fcis-23825	155	6	mimo	mimo	PROPN
fcis-23825	155	7	-	-	PUNCT
fcis-23825	155	8	lstm	lstm	PROPN
fcis-23825	155	9	is	be	AUX
fcis-23825	155	10	lower	low	ADJ
fcis-23825	155	11	than	than	ADP
fcis-23825	155	12	that	that	PRON
fcis-23825	155	13	of	of	ADP
fcis-23825	155	14	mimo	mimo	PROPN
fcis-23825	155	15	-	-	PUNCT
fcis-23825	155	16	lstm	lstm	PROPN
fcis-23825	155	17	for	for	ADP
fcis-23825	155	18	all	all	DET
fcis-23825	155	19	four	four	NUM
fcis-23825	155	20	time	time	NOUN
fcis-23825	155	21	steps	step	NOUN
fcis-23825	155	22	,	,	PUNCT
fcis-23825	155	23	while	while	SCONJ
fcis-23825	155	24	the	the	DET
fcis-23825	155	25	mae	mae	PROPN
fcis-23825	155	26	of	of	ADP
fcis-23825	155	27	stl	stl	PROPN
fcis-23825	155	28	-	-	PUNCT
fcis-23825	155	29	direct	direct	ADJ
fcis-23825	155	30	-	-	PUNCT
fcis-23825	155	31	lstm	lstm	NOUN
fcis-23825	155	32	is	be	AUX
fcis-23825	155	33	lower	low	ADJ
fcis-23825	155	34	than	than	ADP
fcis-23825	155	35	that	that	PRON
fcis-23825	155	36	of	of	ADP
fcis-23825	155	37	direct	direct	ADJ
fcis-23825	155	38	-	-	PUNCT
fcis-23825	155	39	lstm	lstm	NOUN
fcis-23825	155	40	for	for	ADP
fcis-23825	155	41	all	all	DET
fcis-23825	155	42	four	four	NUM
fcis-23825	155	43	time	time	NOUN
fcis-23825	155	44	steps	step	NOUN
fcis-23825	155	45	.	.	PUNCT
fcis-23825	156	1	this	this	PRON
fcis-23825	156	2	demonstrates	demonstrate	VERB
fcis-23825	156	3	that	that	SCONJ
fcis-23825	156	4	the	the	DET
fcis-23825	156	5	stl	stl	PROPN
fcis-23825	156	6	method	method	NOUN
fcis-23825	156	7	enhances	enhance	VERB
fcis-23825	156	8	the	the	DET
fcis-23825	156	9	data	datum	NOUN
fcis-23825	156	10	dimension	dimension	NOUN
fcis-23825	156	11	,	,	PUNCT
fcis-23825	156	12	optimizes	optimize	VERB
fcis-23825	156	13	the	the	DET
fcis-23825	156	14	model	model	NOUN
fcis-23825	156	15	,	,	PUNCT
fcis-23825	156	16	and	and	CCONJ
fcis-23825	156	17	improves	improve	VERB
fcis-23825	156	18	the	the	DET
fcis-23825	156	19	accuracy	accuracy	NOUN
fcis-23825	156	20	of	of	ADP
fcis-23825	156	21	dissolved	dissolved	ADJ
fcis-23825	156	22	oxygen	oxygen	NOUN
fcis-23825	156	23	prediction	prediction	NOUN
fcis-23825	156	24	.	.	PUNCT
fcis-23825	157	1	fig	fig	NOUN
fcis-23825	157	2	10	10	NUM
fcis-23825	157	3	.	.	PUNCT
fcis-23825	158	1	the	the	DET
fcis-23825	158	2	mse	mse	PROPN
fcis-23825	158	3	evaluation	evaluation	NOUN
fcis-23825	158	4	metric	metric	ADJ
fcis-23825	158	5	results	result	NOUN
fcis-23825	158	6	of	of	ADP
fcis-23825	158	7	the	the	DET
fcis-23825	158	8	5	5	NUM
fcis-23825	158	9	models	model	NOUN
fcis-23825	158	10	for	for	ADP
fcis-23825	158	11	the	the	DET
fcis-23825	158	12	next	next	ADJ
fcis-23825	158	13	4	4	NUM
fcis-23825	158	14	time	time	NOUN
fcis-23825	158	15	steps	step	NOUN
fcis-23825	158	16	from	from	ADP
fcis-23825	158	17	fig	fig	NOUN
fcis-23825	158	18	.	.	PUNCT
fcis-23825	159	1	10	10	NUM
fcis-23825	159	2	,	,	PUNCT
fcis-23825	159	3	it	it	PRON
fcis-23825	159	4	can	can	AUX
fcis-23825	159	5	be	be	AUX
fcis-23825	159	6	concluded	conclude	VERB
fcis-23825	159	7	that	that	SCONJ
fcis-23825	159	8	the	the	DET
fcis-23825	159	9	mse	mse	NOUN
fcis-23825	159	10	of	of	ADP
fcis-23825	159	11	the	the	DET
fcis-23825	159	12	stlmimo	stlmimo	NOUN
fcis-23825	159	13	-	-	PUNCT
fcis-23825	159	14	lstm	lstm	NOUN
fcis-23825	159	15	and	and	CCONJ
fcis-23825	159	16	stl	stl	PROPN
fcis-23825	159	17	-	-	PUNCT
fcis-23825	159	18	direct	direct	ADJ
fcis-23825	159	19	-	-	PUNCT
fcis-23825	159	20	lstm	lstm	NOUN
fcis-23825	159	21	models	model	NOUN
fcis-23825	159	22	is	be	AUX
fcis-23825	159	23	much	much	ADV
fcis-23825	159	24	lower	low	ADJ
fcis-23825	159	25	than	than	ADP
fcis-23825	159	26	the	the	DET
fcis-23825	159	27	other	other	ADJ
fcis-23825	159	28	three	three	NUM
fcis-23825	159	29	models	model	NOUN
fcis-23825	159	30	,	,	PUNCT
fcis-23825	159	31	indicating	indicate	VERB
fcis-23825	159	32	higher	high	ADJ
fcis-23825	159	33	prediction	prediction	NOUN
fcis-23825	159	34	accuracy	accuracy	NOUN
fcis-23825	159	35	.	.	PUNCT
fcis-23825	160	1	from	from	ADP
fcis-23825	160	2	the	the	DET
fcis-23825	160	3	perspective	perspective	NOUN
fcis-23825	160	4	of	of	ADP
fcis-23825	160	5	modelling	model	VERB
fcis-23825	160	6	complexity	complexity	NOUN
fcis-23825	160	7	,	,	PUNCT
fcis-23825	160	8	the	the	DET
fcis-23825	160	9	recursive	recursive	ADJ
fcis-23825	160	10	strategy	strategy	NOUN
fcis-23825	160	11	is	be	AUX
fcis-23825	160	12	the	the	DET
fcis-23825	160	13	simplest	simple	ADJ
fcis-23825	160	14	,	,	PUNCT
fcis-23825	160	15	followed	follow	VERB
fcis-23825	160	16	by	by	ADP
fcis-23825	160	17	the	the	DET
fcis-23825	160	18	mimo	mimo	PROPN
fcis-23825	160	19	strategy	strategy	NOUN
fcis-23825	160	20	,	,	PUNCT
fcis-23825	160	21	and	and	CCONJ
fcis-23825	160	22	finally	finally	ADV
fcis-23825	160	23	the	the	DET
fcis-23825	160	24	direct	direct	ADJ
fcis-23825	160	25	strategy	strategy	NOUN
fcis-23825	160	26	.	.	PUNCT
fcis-23825	161	1	under	under	ADP
fcis-23825	161	2	the	the	DET
fcis-23825	161	3	conditions	condition	NOUN
fcis-23825	161	4	of	of	ADP
fcis-23825	161	5	short	short	ADJ
fcis-23825	161	6	-	-	PUNCT
fcis-23825	161	7	term	term	NOUN
fcis-23825	161	8	4	4	NUM
fcis-23825	161	9	-	-	PUNCT
fcis-23825	161	10	step	step	NOUN
fcis-23825	161	11	prediction	prediction	NOUN
fcis-23825	161	12	and	and	CCONJ
fcis-23825	161	13	a	a	DET
fcis-23825	161	14	single	single	ADJ
fcis-23825	161	15	dissolved	dissolve	VERB
fcis-23825	161	16	oxygen	oxygen	NOUN
fcis-23825	161	17	time	time	NOUN
fcis-23825	161	18	series	series	NOUN
fcis-23825	161	19	,	,	PUNCT
fcis-23825	161	20	the	the	DET
fcis-23825	161	21	prediction	prediction	NOUN
fcis-23825	161	22	accuracy	accuracy	NOUN
fcis-23825	161	23	of	of	ADP
fcis-23825	161	24	the	the	DET
fcis-23825	161	25	mimo	mimo	PROPN
fcis-23825	161	26	-	-	PUNCT
fcis-23825	161	27	lstm	lstm	PROPN
fcis-23825	161	28	,	,	PUNCT
fcis-23825	161	29	direct	direct	ADJ
fcis-23825	161	30	-	-	PUNCT
fcis-23825	161	31	lstm	lstm	ADJ
fcis-23825	161	32	,	,	PUNCT
fcis-23825	161	33	and	and	CCONJ
fcis-23825	161	34	recursion	recursion	NOUN
fcis-23825	161	35	-	-	PUNCT
fcis-23825	161	36	lstm	lstm	NOUN
fcis-23825	161	37	models	model	NOUN
fcis-23825	161	38	is	be	AUX
fcis-23825	161	39	similar	similar	ADJ
fcis-23825	161	40	.	.	PUNCT
fcis-23825	162	1	3.3	3.3	NUM
fcis-23825	162	2	.	.	PUNCT
fcis-23825	163	1	model	model	NOUN
fcis-23825	163	2	decay	decay	NOUN
fcis-23825	163	3	rate	rate	NOUN
fcis-23825	163	4	analysis	analysis	NOUN
fcis-23825	163	5	in	in	ADP
fcis-23825	163	6	order	order	NOUN
fcis-23825	163	7	to	to	PART
fcis-23825	163	8	verify	verify	VERB
fcis-23825	163	9	the	the	DET
fcis-23825	163	10	stability	stability	NOUN
fcis-23825	163	11	of	of	ADP
fcis-23825	163	12	the	the	DET
fcis-23825	163	13	models	model	NOUN
fcis-23825	163	14	in	in	ADP
fcis-23825	163	15	multi	multi	ADJ
fcis-23825	163	16	-	-	ADJ
fcis-23825	163	17	step	step	ADJ
fcis-23825	163	18	prediction	prediction	NOUN
fcis-23825	163	19	,	,	PUNCT
fcis-23825	163	20	the	the	DET
fcis-23825	163	21	decay	decay	NOUN
fcis-23825	163	22	rates	rate	NOUN
fcis-23825	163	23	of	of	ADP
fcis-23825	163	24	the	the	DET
fcis-23825	163	25	prediction	prediction	NOUN
fcis-23825	163	26	accuracy	accuracy	NOUN
fcis-23825	163	27	were	be	AUX
fcis-23825	163	28	calculated	calculate	VERB
fcis-23825	163	29	based	base	VERB
fcis-23825	163	30	on	on	ADP
fcis-23825	163	31	mae	mae	PROPN
fcis-23825	163	32	and	and	CCONJ
fcis-23825	163	33	mse	mse	PROPN
fcis-23825	163	34	for	for	ADP
fcis-23825	163	35	the	the	DET
fcis-23825	163	36	five	five	NUM
fcis-23825	163	37	models	model	NOUN
fcis-23825	163	38	.	.	PUNCT
fcis-23825	164	1	fig	fig	NOUN
fcis-23825	164	2	11	11	NUM
fcis-23825	164	3	.	.	PUNCT
fcis-23825	165	1	mae	mae	PROPN
fcis-23825	165	2	decay	decay	NOUN
fcis-23825	165	3	rate	rate	NOUN
fcis-23825	165	4	of	of	ADP
fcis-23825	165	5	the	the	DET
fcis-23825	165	6	5	5	NUM
fcis-23825	165	7	models	model	NOUN
fcis-23825	165	8	12	12	NUM
fcis-23825	165	9	the	the	DET
fcis-23825	165	10	mae	mae	PROPN
fcis-23825	165	11	decay	decay	NOUN
fcis-23825	165	12	rates	rate	NOUN
fcis-23825	165	13	for	for	ADP
fcis-23825	165	14	each	each	DET
fcis-23825	165	15	prediction	prediction	NOUN
fcis-23825	165	16	window	window	NOUN
fcis-23825	165	17	are	be	AUX
fcis-23825	165	18	shown	show	VERB
fcis-23825	165	19	in	in	ADP
fcis-23825	165	20	figure	figure	NOUN
fcis-23825	165	21	11	11	NUM
fcis-23825	165	22	.	.	PUNCT
fcis-23825	166	1	from	from	ADP
fcis-23825	166	2	the	the	DET
fcis-23825	166	3	figure	figure	NOUN
fcis-23825	166	4	,	,	PUNCT
fcis-23825	166	5	it	it	PRON
fcis-23825	166	6	can	can	AUX
fcis-23825	166	7	be	be	AUX
fcis-23825	166	8	seen	see	VERB
fcis-23825	166	9	that	that	SCONJ
fcis-23825	166	10	the	the	DET
fcis-23825	166	11	mae	mae	PROPN
fcis-23825	166	12	decay	decay	NOUN
fcis-23825	166	13	rates	rate	NOUN
fcis-23825	166	14	of	of	ADP
fcis-23825	166	15	the	the	DET
fcis-23825	166	16	stl	stl	PROPN
fcis-23825	166	17	-	-	PUNCT
fcis-23825	166	18	direct	direct	ADJ
fcis-23825	166	19	-	-	PUNCT
fcis-23825	166	20	lstm	lstm	NOUN
fcis-23825	166	21	,	,	PUNCT
fcis-23825	166	22	stl	stl	PROPN
fcis-23825	166	23	-	-	PUNCT
fcis-23825	166	24	mimolstm	mimolstm	PROPN
fcis-23825	166	25	,	,	PUNCT
fcis-23825	166	26	and	and	CCONJ
fcis-23825	166	27	recursion	recursion	NOUN
fcis-23825	166	28	-	-	PUNCT
fcis-23825	166	29	lstm	lstm	NOUN
fcis-23825	166	30	models	model	NOUN
fcis-23825	166	31	decrease	decrease	VERB
fcis-23825	166	32	and	and	CCONJ
fcis-23825	166	33	stabilize	stabilize	VERB
fcis-23825	166	34	as	as	ADP
fcis-23825	166	35	the	the	DET
fcis-23825	166	36	time	time	NOUN
fcis-23825	166	37	steps	step	NOUN
fcis-23825	166	38	increase	increase	NOUN
fcis-23825	166	39	.	.	PUNCT
fcis-23825	167	1	this	this	PRON
fcis-23825	167	2	indicates	indicate	VERB
fcis-23825	167	3	that	that	SCONJ
fcis-23825	167	4	these	these	DET
fcis-23825	167	5	three	three	NUM
fcis-23825	167	6	models	model	NOUN
fcis-23825	167	7	have	have	VERB
fcis-23825	167	8	more	more	ADV
fcis-23825	167	9	stable	stable	ADJ
fcis-23825	167	10	performance	performance	NOUN
fcis-23825	167	11	in	in	ADP
fcis-23825	167	12	multi	multi	ADJ
fcis-23825	167	13	-	-	ADJ
fcis-23825	167	14	step	step	ADJ
fcis-23825	167	15	prediction	prediction	NOUN
fcis-23825	167	16	.	.	PUNCT
fcis-23825	168	1	the	the	DET
fcis-23825	168	2	mae	mae	PROPN
fcis-23825	168	3	decay	decay	NOUN
fcis-23825	168	4	rate	rate	NOUN
fcis-23825	168	5	of	of	ADP
fcis-23825	168	6	the	the	DET
fcis-23825	168	7	direct	direct	ADJ
fcis-23825	168	8	-	-	PUNCT
fcis-23825	168	9	lstm	lstm	NOUN
fcis-23825	168	10	model	model	NOUN
fcis-23825	168	11	increases	increase	NOUN
fcis-23825	168	12	for	for	ADP
fcis-23825	168	13	the	the	DET
fcis-23825	168	14	third	third	ADJ
fcis-23825	168	15	time	time	NOUN
fcis-23825	168	16	step	step	NOUN
fcis-23825	168	17	,	,	PUNCT
fcis-23825	168	18	while	while	SCONJ
fcis-23825	168	19	the	the	DET
fcis-23825	168	20	mae	mae	PROPN
fcis-23825	168	21	decay	decay	NOUN
fcis-23825	168	22	rate	rate	NOUN
fcis-23825	168	23	of	of	ADP
fcis-23825	168	24	the	the	DET
fcis-23825	168	25	mimo	mimo	PROPN
fcis-23825	168	26	-	-	PUNCT
fcis-23825	168	27	lstm	lstm	PROPN
fcis-23825	168	28	model	model	NOUN
fcis-23825	168	29	increases	increase	VERB
fcis-23825	168	30	for	for	ADP
fcis-23825	168	31	the	the	DET
fcis-23825	168	32	second	second	ADJ
fcis-23825	168	33	time	time	NOUN
fcis-23825	168	34	step	step	NOUN
fcis-23825	168	35	,	,	PUNCT
fcis-23825	168	36	indicating	indicate	VERB
fcis-23825	168	37	relatively	relatively	ADV
fcis-23825	168	38	unstable	unstable	ADJ
fcis-23825	168	39	performance	performance	NOUN
fcis-23825	168	40	in	in	ADP
fcis-23825	168	41	multi	multi	ADJ
fcis-23825	168	42	-	-	ADJ
fcis-23825	168	43	step	step	ADJ
fcis-23825	168	44	prediction	prediction	NOUN
fcis-23825	168	45	for	for	ADP
fcis-23825	168	46	these	these	DET
fcis-23825	168	47	models	model	NOUN
fcis-23825	168	48	.	.	PUNCT
fcis-23825	169	1	fig	fig	NOUN
fcis-23825	169	2	12	12	NUM
fcis-23825	169	3	.	.	PUNCT
fcis-23825	170	1	mse	mse	NOUN
fcis-23825	170	2	decay	decay	NOUN
fcis-23825	170	3	rate	rate	NOUN
fcis-23825	170	4	of	of	ADP
fcis-23825	170	5	the	the	DET
fcis-23825	170	6	5	5	NUM
fcis-23825	170	7	models	model	NOUN
fcis-23825	170	8	the	the	DET
fcis-23825	170	9	mse	mse	NOUN
fcis-23825	170	10	decay	decay	NOUN
fcis-23825	170	11	rates	rate	NOUN
fcis-23825	170	12	for	for	ADP
fcis-23825	170	13	each	each	DET
fcis-23825	170	14	prediction	prediction	NOUN
fcis-23825	170	15	window	window	NOUN
fcis-23825	170	16	are	be	AUX
fcis-23825	170	17	shown	show	VERB
fcis-23825	170	18	in	in	ADP
fcis-23825	170	19	figure	figure	NOUN
fcis-23825	170	20	12	12	NUM
fcis-23825	170	21	.	.	PUNCT
fcis-23825	171	1	from	from	ADP
fcis-23825	171	2	the	the	DET
fcis-23825	171	3	figure	figure	NOUN
fcis-23825	171	4	,	,	PUNCT
fcis-23825	171	5	it	it	PRON
fcis-23825	171	6	can	can	AUX
fcis-23825	171	7	be	be	AUX
fcis-23825	171	8	observed	observe	VERB
fcis-23825	171	9	that	that	SCONJ
fcis-23825	171	10	as	as	SCONJ
fcis-23825	171	11	the	the	DET
fcis-23825	171	12	time	time	NOUN
fcis-23825	171	13	steps	step	NOUN
fcis-23825	171	14	increase	increase	NOUN
fcis-23825	171	15	,	,	PUNCT
fcis-23825	171	16	the	the	DET
fcis-23825	171	17	mse	mse	NOUN
fcis-23825	171	18	decay	decay	NOUN
fcis-23825	171	19	rates	rate	NOUN
fcis-23825	171	20	of	of	ADP
fcis-23825	171	21	the	the	DET
fcis-23825	171	22	five	five	NUM
fcis-23825	171	23	models	model	NOUN
fcis-23825	171	24	gradually	gradually	ADV
fcis-23825	171	25	decrease	decrease	VERB
fcis-23825	171	26	and	and	CCONJ
fcis-23825	171	27	stabilize	stabilize	VERB
fcis-23825	171	28	.	.	PUNCT
fcis-23825	172	1	the	the	DET
fcis-23825	172	2	stl	stl	PROPN
fcis-23825	172	3	-	-	PUNCT
fcis-23825	172	4	mimolstm	mimolstm	PROPN
fcis-23825	172	5	model	model	NOUN
fcis-23825	172	6	has	have	VERB
fcis-23825	172	7	the	the	DET
fcis-23825	172	8	lowest	low	ADJ
fcis-23825	172	9	mse	mse	NOUN
fcis-23825	172	10	decay	decay	NOUN
fcis-23825	172	11	rate	rate	NOUN
fcis-23825	172	12	for	for	ADP
fcis-23825	172	13	the	the	DET
fcis-23825	172	14	second	second	ADJ
fcis-23825	172	15	and	and	CCONJ
fcis-23825	172	16	third	third	ADJ
fcis-23825	172	17	time	time	NOUN
fcis-23825	172	18	steps	step	NOUN
fcis-23825	172	19	,	,	PUNCT
fcis-23825	172	20	and	and	CCONJ
fcis-23825	172	21	the	the	DET
fcis-23825	172	22	second	second	ADV
fcis-23825	172	23	-	-	PUNCT
fcis-23825	172	24	lowest	low	ADJ
fcis-23825	172	25	mse	mse	NOUN
fcis-23825	172	26	decay	decay	NOUN
fcis-23825	172	27	rate	rate	NOUN
fcis-23825	172	28	for	for	ADP
fcis-23825	172	29	the	the	DET
fcis-23825	172	30	fourth	fourth	ADJ
fcis-23825	172	31	time	time	NOUN
fcis-23825	172	32	step	step	NOUN
fcis-23825	172	33	,	,	PUNCT
fcis-23825	172	34	indicating	indicate	VERB
fcis-23825	172	35	the	the	DET
fcis-23825	172	36	most	most	ADV
fcis-23825	172	37	stable	stable	ADJ
fcis-23825	172	38	performance	performance	NOUN
fcis-23825	172	39	in	in	ADP
fcis-23825	172	40	multi	multi	ADJ
fcis-23825	172	41	-	-	ADJ
fcis-23825	172	42	step	step	ADJ
fcis-23825	172	43	prediction	prediction	NOUN
fcis-23825	172	44	for	for	ADP
fcis-23825	172	45	the	the	DET
fcis-23825	172	46	stl	stl	PROPN
fcis-23825	172	47	-	-	PUNCT
fcis-23825	172	48	mimolstm	mimolstm	PROPN
fcis-23825	172	49	model	model	NOUN
fcis-23825	172	50	.	.	PUNCT
fcis-23825	173	1	4	4	X
fcis-23825	173	2	.	.	X
fcis-23825	173	3	conclusion	conclusion	NOUN
fcis-23825	173	4	in	in	ADP
fcis-23825	173	5	order	order	NOUN
fcis-23825	173	6	to	to	PART
fcis-23825	173	7	improve	improve	VERB
fcis-23825	173	8	the	the	DET
fcis-23825	173	9	prediction	prediction	NOUN
fcis-23825	173	10	accuracy	accuracy	NOUN
fcis-23825	173	11	of	of	ADP
fcis-23825	173	12	dissolved	dissolved	ADJ
fcis-23825	173	13	oxygen	oxygen	NOUN
fcis-23825	173	14	in	in	ADP
fcis-23825	173	15	rivers	river	NOUN
fcis-23825	173	16	and	and	CCONJ
fcis-23825	173	17	address	address	VERB
fcis-23825	173	18	the	the	DET
fcis-23825	173	19	issue	issue	NOUN
fcis-23825	173	20	of	of	ADP
fcis-23825	173	21	single	single	ADJ
fcis-23825	173	22	-	-	PUNCT
fcis-23825	173	23	step	step	NOUN
fcis-23825	173	24	prediction	prediction	NOUN
fcis-23825	173	25	models	model	NOUN
fcis-23825	173	26	unable	unable	ADJ
fcis-23825	173	27	to	to	PART
fcis-23825	173	28	forecast	forecast	VERB
fcis-23825	173	29	future	future	ADJ
fcis-23825	173	30	trends	trend	NOUN
fcis-23825	173	31	,	,	PUNCT
fcis-23825	173	32	this	this	DET
fcis-23825	173	33	study	study	NOUN
fcis-23825	173	34	developed	develop	VERB
fcis-23825	173	35	a	a	DET
fcis-23825	173	36	multi	multi	ADJ
fcis-23825	173	37	-	-	ADJ
fcis-23825	173	38	step	step	ADJ
fcis-23825	173	39	prediction	prediction	NOUN
fcis-23825	173	40	model	model	NOUN
fcis-23825	173	41	for	for	ADP
fcis-23825	173	42	dissolved	dissolve	VERB
fcis-23825	173	43	oxygen	oxygen	NOUN
fcis-23825	173	44	based	base	VERB
fcis-23825	173	45	on	on	ADP
fcis-23825	173	46	stl	stl	PROPN
fcis-23825	173	47	-	-	PUNCT
fcis-23825	173	48	lstm	lstm	PROPN
fcis-23825	173	49	.	.	PUNCT
fcis-23825	174	1	the	the	DET
fcis-23825	174	2	main	main	ADJ
fcis-23825	174	3	conclusions	conclusion	NOUN
fcis-23825	174	4	are	be	AUX
fcis-23825	174	5	as	as	SCONJ
fcis-23825	174	6	follows	follow	VERB
fcis-23825	174	7	:	:	PUNCT
fcis-23825	174	8	1	1	X
fcis-23825	174	9	)	)	PUNCT
fcis-23825	174	10	stl	stl	PROPN
fcis-23825	174	11	decomposition	decomposition	NOUN
fcis-23825	174	12	enhances	enhance	VERB
fcis-23825	174	13	the	the	DET
fcis-23825	174	14	data	data	NOUN
fcis-23825	174	15	features	feature	NOUN
fcis-23825	174	16	and	and	CCONJ
fcis-23825	174	17	improves	improve	VERB
fcis-23825	174	18	the	the	DET
fcis-23825	174	19	prediction	prediction	NOUN
fcis-23825	174	20	accuracy	accuracy	NOUN
fcis-23825	174	21	of	of	ADP
fcis-23825	174	22	dissolved	dissolved	ADJ
fcis-23825	174	23	oxygen	oxygen	NOUN
fcis-23825	174	24	.	.	PUNCT
fcis-23825	175	1	by	by	ADP
fcis-23825	175	2	applying	apply	VERB
fcis-23825	175	3	stl	stl	PROPN
fcis-23825	175	4	decomposition	decomposition	NOUN
fcis-23825	175	5	to	to	ADP
fcis-23825	175	6	the	the	DET
fcis-23825	175	7	data	datum	NOUN
fcis-23825	175	8	,	,	PUNCT
fcis-23825	175	9	it	it	PRON
fcis-23825	175	10	becomes	become	VERB
fcis-23825	175	11	possible	possible	ADJ
fcis-23825	175	12	to	to	PART
fcis-23825	175	13	better	well	ADV
fcis-23825	175	14	capture	capture	VERB
fcis-23825	175	15	the	the	DET
fcis-23825	175	16	trends	trend	NOUN
fcis-23825	175	17	and	and	CCONJ
fcis-23825	175	18	seasonal	seasonal	ADJ
fcis-23825	175	19	variations	variation	NOUN
fcis-23825	175	20	,	,	PUNCT
fcis-23825	175	21	thus	thus	ADV
fcis-23825	175	22	enhancing	enhance	VERB
fcis-23825	175	23	the	the	DET
fcis-23825	175	24	accuracy	accuracy	NOUN
fcis-23825	175	25	of	of	ADP
fcis-23825	175	26	the	the	DET
fcis-23825	175	27	predictions	prediction	NOUN
fcis-23825	175	28	.	.	PUNCT
fcis-23825	176	1	2	2	NUM
fcis-23825	176	2	)	)	PUNCT
fcis-23825	176	3	compared	compare	VERB
fcis-23825	176	4	to	to	ADP
fcis-23825	176	5	the	the	DET
fcis-23825	176	6	direct	direct	ADJ
fcis-23825	176	7	strategy	strategy	NOUN
fcis-23825	176	8	and	and	CCONJ
fcis-23825	176	9	recursion	recursion	NOUN
fcis-23825	176	10	strategy	strategy	NOUN
fcis-23825	176	11	,	,	PUNCT
fcis-23825	176	12	the	the	DET
fcis-23825	176	13	multi	multi	ADJ
fcis-23825	176	14	-	-	ADJ
fcis-23825	176	15	input	input	ADJ
fcis-23825	176	16	multi	multi	ADJ
fcis-23825	176	17	-	-	ADJ
fcis-23825	176	18	output	output	ADJ
fcis-23825	176	19	(	(	PUNCT
fcis-23825	176	20	mimo	mimo	PROPN
fcis-23825	176	21	)	)	PUNCT
fcis-23825	176	22	strategy	strategy	NOUN
fcis-23825	176	23	has	have	VERB
fcis-23825	176	24	lower	low	ADJ
fcis-23825	176	25	construction	construction	NOUN
fcis-23825	176	26	complexity	complexity	NOUN
fcis-23825	176	27	,	,	PUNCT
fcis-23825	176	28	simpler	simple	ADJ
fcis-23825	176	29	model	model	NOUN
fcis-23825	176	30	generation	generation	NOUN
fcis-23825	176	31	,	,	PUNCT
fcis-23825	176	32	and	and	CCONJ
fcis-23825	176	33	reduced	reduce	VERB
fcis-23825	176	34	experimental	experimental	ADJ
fcis-23825	176	35	difficulty	difficulty	NOUN
fcis-23825	176	36	,	,	PUNCT
fcis-23825	176	37	making	make	VERB
fcis-23825	176	38	it	it	PRON
fcis-23825	176	39	suitable	suitable	ADJ
fcis-23825	176	40	for	for	ADP
fcis-23825	176	41	multistep	multistep	ADJ
fcis-23825	176	42	prediction	prediction	NOUN
fcis-23825	176	43	of	of	ADP
fcis-23825	176	44	dissolved	dissolve	VERB
fcis-23825	176	45	oxygen	oxygen	NOUN
fcis-23825	176	46	.	.	PUNCT
fcis-23825	177	1	the	the	DET
fcis-23825	177	2	stl	stl	PROPN
fcis-23825	177	3	-	-	PUNCT
fcis-23825	177	4	mimo	mimo	PROPN
fcis-23825	177	5	-	-	PUNCT
fcis-23825	177	6	lstm	lstm	PROPN
fcis-23825	177	7	model	model	NOUN
fcis-23825	177	8	effectively	effectively	ADV
fcis-23825	177	9	mitigates	mitigate	VERB
fcis-23825	177	10	the	the	DET
fcis-23825	177	11	lagging	lag	VERB
fcis-23825	177	12	issue	issue	NOUN
fcis-23825	177	13	in	in	ADP
fcis-23825	177	14	time	time	NOUN
fcis-23825	177	15	series	series	PROPN
fcis-23825	177	16	prediction	prediction	NOUN
fcis-23825	177	17	,	,	PUNCT
fcis-23825	177	18	exhibiting	exhibit	VERB
fcis-23825	177	19	higher	high	ADJ
fcis-23825	177	20	prediction	prediction	NOUN
fcis-23825	177	21	accuracy	accuracy	NOUN
fcis-23825	177	22	and	and	CCONJ
fcis-23825	177	23	lower	low	ADJ
fcis-23825	177	24	prediction	prediction	NOUN
fcis-23825	177	25	accuracy	accuracy	NOUN
fcis-23825	177	26	decay	decay	NOUN
fcis-23825	177	27	rate	rate	NOUN
fcis-23825	177	28	.	.	PUNCT
fcis-23825	178	1	3	3	X
fcis-23825	178	2	)	)	PUNCT
fcis-23825	178	3	by	by	ADP
fcis-23825	178	4	combining	combine	VERB
fcis-23825	178	5	the	the	DET
fcis-23825	178	6	stl	stl	PROPN
fcis-23825	178	7	method	method	NOUN
fcis-23825	178	8	with	with	ADP
fcis-23825	178	9	the	the	DET
fcis-23825	178	10	mimo	mimo	PROPN
fcis-23825	178	11	strategy	strategy	NOUN
fcis-23825	178	12	,	,	PUNCT
fcis-23825	178	13	the	the	DET
fcis-23825	178	14	stl	stl	PROPN
fcis-23825	178	15	-	-	PUNCT
fcis-23825	178	16	mimo	mimo	PROPN
fcis-23825	178	17	-	-	PUNCT
fcis-23825	178	18	lstm	lstm	PROPN
fcis-23825	178	19	model	model	NOUN
fcis-23825	178	20	can	can	AUX
fcis-23825	178	21	effectively	effectively	ADV
fcis-23825	178	22	forecast	forecast	VERB
fcis-23825	178	23	the	the	DET
fcis-23825	178	24	dissolved	dissolve	VERB
fcis-23825	178	25	oxygen	oxygen	NOUN
fcis-23825	178	26	content	content	NOUN
fcis-23825	178	27	for	for	ADP
fcis-23825	178	28	the	the	DET
fcis-23825	178	29	next	next	ADJ
fcis-23825	178	30	four	four	NUM
fcis-23825	178	31	time	time	NOUN
fcis-23825	178	32	steps	step	NOUN
fcis-23825	178	33	,	,	PUNCT
fcis-23825	178	34	providing	provide	VERB
fcis-23825	178	35	valuable	valuable	ADJ
fcis-23825	178	36	insights	insight	NOUN
fcis-23825	178	37	for	for	ADP
fcis-23825	178	38	water	water	NOUN
fcis-23825	178	39	quality	quality	NOUN
fcis-23825	178	40	management	management	NOUN
fcis-23825	178	41	.	.	PUNCT
fcis-23825	179	1	references	reference	NOUN
fcis-23825	179	2	[	[	X
fcis-23825	179	3	1	1	NUM
fcis-23825	179	4	]	]	PUNCT
fcis-23825	179	5	franklin	franklin	PROPN
fcis-23825	179	6	,	,	PUNCT
fcis-23825	179	7	p.	p.	NOUN
fcis-23825	179	8	a.	a.	NOUN
fcis-23825	179	9	(	(	PUNCT
fcis-23825	179	10	2014	2014	NUM
fcis-23825	179	11	)	)	PUNCT
fcis-23825	179	12	.	.	PUNCT
fcis-23825	180	1	dissolved	dissolve	VERB
fcis-23825	180	2	oxygen	oxygen	NOUN
fcis-23825	180	3	criteria	criterion	NOUN
fcis-23825	180	4	for	for	ADP
fcis-23825	180	5	freshwater	freshwater	ADJ
fcis-23825	180	6	fish	fish	NOUN
fcis-23825	180	7	in	in	ADP
fcis-23825	180	8	new	new	PROPN
fcis-23825	180	9	zealand	zealand	PROPN
fcis-23825	180	10	:	:	PUNCT
fcis-23825	180	11	a	a	DET
fcis-23825	180	12	revised	revised	ADJ
fcis-23825	180	13	approach	approach	NOUN
fcis-23825	180	14	.	.	PUNCT
fcis-23825	181	1	new	new	PROPN
fcis-23825	181	2	zealand	zealand	PROPN
fcis-23825	181	3	journal	journal	PROPN
fcis-23825	181	4	of	of	ADP
fcis-23825	181	5	marine	marine	PROPN
fcis-23825	181	6	and	and	CCONJ
fcis-23825	181	7	freshwater	freshwater	PROPN
fcis-23825	181	8	research	research	NOUN
fcis-23825	181	9	,	,	PUNCT
fcis-23825	181	10	48(1	48(1	NOUN
fcis-23825	181	11	)	)	PUNCT
fcis-23825	181	12	,	,	PUNCT
fcis-23825	181	13	112	112	NUM
fcis-23825	181	14	-	-	SYM
fcis-23825	181	15	126	126	NUM
fcis-23825	181	16	.	.	PUNCT
fcis-23825	182	1	[	[	X
fcis-23825	182	2	2	2	X
fcis-23825	182	3	]	]	X
fcis-23825	182	4	ren	ren	PROPN
fcis-23825	182	5	q	q	PROPN
fcis-23825	182	6	,	,	PUNCT
fcis-23825	182	7	wang	wang	PROPN
fcis-23825	182	8	x	x	PROPN
fcis-23825	182	9	,	,	PUNCT
fcis-23825	182	10	li	li	PROPN
fcis-23825	182	11	w	w	PROPN
fcis-23825	182	12	,	,	PUNCT
fcis-23825	182	13	et	et	PROPN
fcis-23825	182	14	al	al	PROPN
fcis-23825	182	15	.	.	PROPN
fcis-23825	182	16	research	research	NOUN
fcis-23825	182	17	of	of	ADP
fcis-23825	182	18	dissolved	dissolve	VERB
fcis-23825	182	19	oxygen	oxygen	NOUN
fcis-23825	182	20	prediction	prediction	NOUN
fcis-23825	182	21	in	in	ADP
fcis-23825	182	22	recirculating	recirculating	NOUN
fcis-23825	182	23	aquaculture	aquaculture	NOUN
fcis-23825	182	24	systems	system	NOUN
fcis-23825	182	25	based	base	VERB
fcis-23825	182	26	on	on	ADP
fcis-23825	182	27	deep	deep	ADJ
fcis-23825	182	28	belief	belief	NOUN
fcis-23825	182	29	network[j	network[j	PROPN
fcis-23825	182	30	]	]	PUNCT
fcis-23825	182	31	.	.	PUNCT
fcis-23825	183	1	aquacultural	aquacultural	ADJ
fcis-23825	183	2	engineering	engineering	NOUN
fcis-23825	183	3	,	,	PUNCT
fcis-23825	183	4	2020	2020	NUM
fcis-23825	183	5	,	,	PUNCT
fcis-23825	183	6	90	90	NUM
fcis-23825	183	7	:	:	SYM
fcis-23825	183	8	102085	102085	NUM
fcis-23825	183	9	.	.	PUNCT
fcis-23825	184	1	[	[	X
fcis-23825	184	2	3	3	NUM
fcis-23825	184	3	]	]	SYM
fcis-23825	184	4	li	li	PROPN
fcis-23825	184	5	,	,	PUNCT
fcis-23825	184	6	c.	c.	PROPN
fcis-23825	184	7	,	,	PUNCT
fcis-23825	184	8	li	li	PROPN
fcis-23825	184	9	,	,	PUNCT
fcis-23825	184	10	z.	z.	PROPN
fcis-23825	184	11	,	,	PUNCT
fcis-23825	184	12	wu	wu	PROPN
fcis-23825	184	13	,	,	PUNCT
fcis-23825	184	14	j.	j.	PROPN
fcis-23825	184	15	,	,	PUNCT
fcis-23825	184	16	zhu	zhu	PROPN
fcis-23825	184	17	,	,	PUNCT
fcis-23825	184	18	l.	l.	PROPN
fcis-23825	184	19	,	,	PUNCT
fcis-23825	184	20	&	&	CCONJ
fcis-23825	184	21	yue	yue	PROPN
fcis-23825	184	22	,	,	PUNCT
fcis-23825	184	23	j.	j.	PROPN
fcis-23825	184	24	(	(	PUNCT
fcis-23825	184	25	2018	2018	NUM
fcis-23825	184	26	)	)	PUNCT
fcis-23825	184	27	.	.	PUNCT
fcis-23825	185	1	a	a	DET
fcis-23825	185	2	hybrid	hybrid	ADJ
fcis-23825	185	3	model	model	NOUN
fcis-23825	185	4	for	for	ADP
fcis-23825	185	5	dissolved	dissolve	VERB
fcis-23825	185	6	oxygen	oxygen	NOUN
fcis-23825	185	7	prediction	prediction	NOUN
fcis-23825	185	8	in	in	ADP
fcis-23825	185	9	aquaculture	aquaculture	NOUN
fcis-23825	185	10	based	base	VERB
fcis-23825	185	11	on	on	ADP
fcis-23825	185	12	multiscale	multiscale	ADJ
fcis-23825	185	13	features	feature	NOUN
fcis-23825	185	14	.	.	PUNCT
fcis-23825	186	1	information	information	NOUN
fcis-23825	186	2	processing	processing	NOUN
fcis-23825	186	3	in	in	ADP
fcis-23825	186	4	agriculture	agriculture	NOUN
fcis-23825	186	5	,	,	PUNCT
fcis-23825	186	6	5(1	5(1	NUM
fcis-23825	186	7	)	)	PUNCT
fcis-23825	186	8	,	,	PUNCT
fcis-23825	186	9	1120	1120	NUM
fcis-23825	186	10	.	.	PUNCT
fcis-23825	187	1	[	[	X
fcis-23825	187	2	4	4	NUM
fcis-23825	187	3	]	]	SYM
fcis-23825	187	4	li	li	PROPN
fcis-23825	187	5	,	,	PUNCT
fcis-23825	187	6	w.	w.	PROPN
fcis-23825	187	7	,	,	PUNCT
fcis-23825	187	8	wei	wei	PROPN
fcis-23825	187	9	,	,	PUNCT
fcis-23825	187	10	y.	y.	PROPN
fcis-23825	187	11	,	,	PUNCT
fcis-23825	187	12	an	an	PRON
fcis-23825	187	13	,	,	PUNCT
fcis-23825	187	14	d.	d.	PROPN
fcis-23825	187	15	,	,	PUNCT
fcis-23825	187	16	jiao	jiao	PROPN
fcis-23825	187	17	,	,	PUNCT
fcis-23825	187	18	y.	y.	PROPN
fcis-23825	187	19	,	,	PUNCT
fcis-23825	187	20	&	&	CCONJ
fcis-23825	187	21	wei	wei	PROPN
fcis-23825	187	22	,	,	PUNCT
fcis-23825	187	23	q.	q.	PROPN
fcis-23825	187	24	(	(	PUNCT
fcis-23825	187	25	2022	2022	NUM
fcis-23825	187	26	)	)	PUNCT
fcis-23825	187	27	.	.	PUNCT
fcis-23825	188	1	lstmtcn	lstmtcn	NOUN
fcis-23825	188	2	:	:	PUNCT
fcis-23825	188	3	dissolved	dissolve	VERB
fcis-23825	188	4	oxygen	oxygen	NOUN
fcis-23825	188	5	prediction	prediction	NOUN
fcis-23825	188	6	in	in	ADP
fcis-23825	188	7	aquaculture	aquaculture	NOUN
fcis-23825	188	8	,	,	PUNCT
fcis-23825	188	9	based	base	VERB
fcis-23825	188	10	on	on	ADP
fcis-23825	188	11	combined	combined	ADJ
fcis-23825	188	12	model	model	NOUN
fcis-23825	188	13	of	of	ADP
fcis-23825	188	14	long	long	ADJ
fcis-23825	188	15	short	short	ADJ
fcis-23825	188	16	-	-	PUNCT
fcis-23825	188	17	term	term	NOUN
fcis-23825	188	18	memory	memory	NOUN
fcis-23825	188	19	network	network	NOUN
fcis-23825	188	20	and	and	CCONJ
fcis-23825	188	21	temporal	temporal	ADJ
fcis-23825	188	22	convolutional	convolutional	ADJ
fcis-23825	188	23	network	network	NOUN
fcis-23825	188	24	.	.	PUNCT
fcis-23825	189	1	environmental	environmental	ADJ
fcis-23825	189	2	science	science	NOUN
fcis-23825	189	3	and	and	CCONJ
fcis-23825	189	4	pollution	pollution	NOUN
fcis-23825	189	5	research	research	NOUN
fcis-23825	189	6	,	,	PUNCT
fcis-23825	189	7	29(26	29(26	NUM
fcis-23825	189	8	)	)	PUNCT
fcis-23825	189	9	,	,	PUNCT
fcis-23825	189	10	39545	39545	NUM
fcis-23825	189	11	-	-	SYM
fcis-23825	189	12	39556	39556	NUM
fcis-23825	189	13	.	.	PUNCT
fcis-23825	190	1	[	[	X
fcis-23825	190	2	5	5	NUM
fcis-23825	190	3	]	]	X
fcis-23825	190	4	kisi	kisi	X
fcis-23825	190	5	,	,	PUNCT
fcis-23825	190	6	o.	o.	PROPN
fcis-23825	190	7	,	,	PUNCT
fcis-23825	190	8	alizamir	alizamir	ADJ
fcis-23825	190	9	,	,	PUNCT
fcis-23825	190	10	m.	m.	NOUN
fcis-23825	190	11	,	,	PUNCT
fcis-23825	190	12	&	&	CCONJ
fcis-23825	190	13	docheshmeh	docheshmeh	PROPN
fcis-23825	190	14	gorgij	gorgij	PROPN
fcis-23825	190	15	,	,	PUNCT
fcis-23825	190	16	a.	a.	NOUN
fcis-23825	190	17	(	(	PUNCT
fcis-23825	190	18	2020	2020	NUM
fcis-23825	190	19	)	)	PUNCT
fcis-23825	190	20	.	.	PUNCT
fcis-23825	191	1	dissolved	dissolve	VERB
fcis-23825	191	2	oxygen	oxygen	NOUN
fcis-23825	191	3	prediction	prediction	NOUN
fcis-23825	191	4	using	use	VERB
fcis-23825	191	5	a	a	DET
fcis-23825	191	6	new	new	ADJ
fcis-23825	191	7	ensemble	ensemble	ADJ
fcis-23825	191	8	method	method	NOUN
fcis-23825	191	9	.	.	PUNCT
fcis-23825	192	1	environmental	environmental	ADJ
fcis-23825	192	2	science	science	NOUN
fcis-23825	192	3	and	and	CCONJ
fcis-23825	192	4	pollution	pollution	NOUN
fcis-23825	192	5	research	research	NOUN
fcis-23825	192	6	,	,	PUNCT
fcis-23825	192	7	27	27	NUM
fcis-23825	192	8	,	,	PUNCT
fcis-23825	192	9	9589	9589	NUM
fcis-23825	192	10	-	-	SYM
fcis-23825	192	11	9603	9603	NUM
fcis-23825	192	12	.	.	PUNCT
fcis-23825	193	1	[	[	X
fcis-23825	193	2	6	6	NUM
fcis-23825	193	3	]	]	X
fcis-23825	193	4	liu	liu	PROPN
fcis-23825	193	5	,	,	PUNCT
fcis-23825	193	6	y.	y.	PROPN
fcis-23825	193	7	,	,	PUNCT
fcis-23825	193	8	zhang	zhang	PROPN
fcis-23825	193	9	,	,	PUNCT
fcis-23825	193	10	q.	q.	PROPN
fcis-23825	193	11	,	,	PUNCT
fcis-23825	193	12	song	song	NOUN
fcis-23825	193	13	,	,	PUNCT
fcis-23825	193	14	l.	l.	PROPN
fcis-23825	193	15	,	,	PUNCT
fcis-23825	193	16	&	&	CCONJ
fcis-23825	193	17	chen	chen	PROPN
fcis-23825	193	18	,	,	PUNCT
fcis-23825	193	19	y.	y.	PROPN
fcis-23825	193	20	(	(	PUNCT
fcis-23825	193	21	2019	2019	NUM
fcis-23825	193	22	)	)	PUNCT
fcis-23825	193	23	.	.	PUNCT
fcis-23825	194	1	attentionbased	attentionbase	VERB
fcis-23825	194	2	recurrent	recurrent	ADJ
fcis-23825	194	3	neural	neural	ADJ
fcis-23825	194	4	networks	network	NOUN
fcis-23825	194	5	for	for	ADP
fcis-23825	194	6	accurate	accurate	ADJ
fcis-23825	194	7	short	short	ADJ
fcis-23825	194	8	-	-	PUNCT
fcis-23825	194	9	term	term	NOUN
fcis-23825	194	10	and	and	CCONJ
fcis-23825	194	11	long	long	ADJ
fcis-23825	194	12	-	-	PUNCT
fcis-23825	194	13	term	term	NOUN
fcis-23825	194	14	dissolved	dissolve	VERB
fcis-23825	194	15	oxygen	oxygen	NOUN
fcis-23825	194	16	prediction	prediction	NOUN
fcis-23825	194	17	.	.	PUNCT
fcis-23825	195	1	computers	computer	NOUN
fcis-23825	195	2	and	and	CCONJ
fcis-23825	195	3	electronics	electronic	NOUN
fcis-23825	195	4	in	in	ADP
fcis-23825	195	5	agriculture	agriculture	NOUN
fcis-23825	195	6	,	,	PUNCT
fcis-23825	195	7	165	165	NUM
fcis-23825	195	8	,	,	PUNCT
fcis-23825	195	9	104964	104964	NUM
fcis-23825	195	10	.	.	PUNCT
fcis-23825	196	1	[	[	X
fcis-23825	196	2	7	7	NUM
fcis-23825	196	3	]	]	SYM
fcis-23825	196	4	li	li	PROPN
fcis-23825	196	5	,	,	PUNCT
fcis-23825	196	6	c.	c.	PROPN
fcis-23825	196	7	,	,	PUNCT
fcis-23825	196	8	li	li	PROPN
fcis-23825	196	9	,	,	PUNCT
fcis-23825	196	10	z.	z.	PROPN
fcis-23825	196	11	,	,	PUNCT
fcis-23825	196	12	zhu	zhu	PROPN
fcis-23825	196	13	,	,	PUNCT
fcis-23825	196	14	l.	l.	PROPN
fcis-23825	196	15	,	,	PUNCT
fcis-23825	196	16	wu	wu	PROPN
fcis-23825	196	17	,	,	PUNCT
fcis-23825	196	18	j.	j.	PROPN
fcis-23825	196	19	,	,	PUNCT
fcis-23825	196	20	&	&	CCONJ
fcis-23825	196	21	yue	yue	PROPN
fcis-23825	196	22	,	,	PUNCT
fcis-23825	196	23	j.	j.	PROPN
fcis-23825	196	24	(	(	PUNCT
fcis-23825	196	25	2018	2018	NUM
fcis-23825	196	26	)	)	PUNCT
fcis-23825	196	27	.	.	PUNCT
fcis-23825	196	28	dissolved	dissolve	VERB
fcis-23825	196	29	oxygen	oxygen	NOUN
fcis-23825	196	30	time	time	NOUN
fcis-23825	196	31	series	series	PROPN
fcis-23825	196	32	prediction	prediction	NOUN
fcis-23825	196	33	based	base	VERB
fcis-23825	196	34	on	on	ADP
fcis-23825	196	35	lstm	lstm	PROPN
fcis-23825	196	36	deep	deep	ADV
fcis-23825	196	37	learning	learn	VERB
fcis-23825	196	38	neural	neural	ADJ
fcis-23825	196	39	network	network	NOUN
fcis-23825	196	40	.	.	PUNCT
fcis-23825	197	1	international	international	ADJ
fcis-23825	197	2	agricultural	agricultural	ADJ
fcis-23825	197	3	engineering	engineering	NOUN
fcis-23825	197	4	journal	journal	NOUN
fcis-23825	197	5	,	,	PUNCT
fcis-23825	197	6	27(2	27(2	PRON
fcis-23825	197	7	)	)	PUNCT
fcis-23825	197	8	,	,	PUNCT
fcis-23825	197	9	353	353	NUM
fcis-23825	197	10	-	-	SYM
fcis-23825	197	11	359	359	NUM
fcis-23825	197	12	.	.	PUNCT
fcis-23825	198	1	[	[	X
fcis-23825	198	2	8	8	NUM
fcis-23825	198	3	]	]	SYM
fcis-23825	198	4	eze	eze	X
fcis-23825	198	5	,	,	PUNCT
fcis-23825	198	6	e.	e.	PROPN
fcis-23825	198	7	,	,	PUNCT
fcis-23825	198	8	&	&	CCONJ
fcis-23825	198	9	ajmal	ajmal	PROPN
fcis-23825	198	10	,	,	PUNCT
fcis-23825	198	11	t.	t.	PROPN
fcis-23825	198	12	(	(	PUNCT
fcis-23825	198	13	2020	2020	NUM
fcis-23825	198	14	)	)	PUNCT
fcis-23825	198	15	.	.	PUNCT
fcis-23825	199	1	dissolved	dissolve	VERB
fcis-23825	199	2	oxygen	oxygen	NOUN
fcis-23825	199	3	forecasting	forecasting	NOUN
fcis-23825	199	4	in	in	ADP
fcis-23825	199	5	aquaculture	aquaculture	NOUN
fcis-23825	199	6	:	:	PUNCT
fcis-23825	199	7	a	a	DET
fcis-23825	199	8	hybrid	hybrid	ADJ
fcis-23825	199	9	model	model	NOUN
fcis-23825	199	10	approach	approach	NOUN
fcis-23825	199	11	.	.	PUNCT
fcis-23825	200	1	applied	apply	VERB
fcis-23825	200	2	sciences	science	NOUN
fcis-23825	200	3	,	,	PUNCT
fcis-23825	200	4	10(20	10(20	NUM
fcis-23825	200	5	)	)	PUNCT
fcis-23825	200	6	,	,	PUNCT
fcis-23825	200	7	7079	7079	NUM
fcis-23825	200	8	.	.	PUNCT
fcis-23825	201	1	[	[	X
fcis-23825	201	2	9	9	NUM
fcis-23825	201	3	]	]	X
fcis-23825	201	4	ziyad	ziyad	PROPN
fcis-23825	201	5	sami	sami	PROPN
fcis-23825	201	6	,	,	PUNCT
fcis-23825	201	7	b.	b.	PROPN
fcis-23825	201	8	f.	f.	PROPN
fcis-23825	201	9	,	,	PUNCT
fcis-23825	201	10	latif	latif	PROPN
fcis-23825	201	11	,	,	PUNCT
fcis-23825	201	12	s.	s.	PROPN
fcis-23825	201	13	d.	d.	PROPN
fcis-23825	201	14	,	,	PUNCT
fcis-23825	201	15	ahmed	ahmed	PROPN
fcis-23825	201	16	,	,	PUNCT
fcis-23825	201	17	a.	a.	NOUN
fcis-23825	201	18	n.	n.	PROPN
fcis-23825	201	19	,	,	PUNCT
fcis-23825	201	20	chow	chow	PROPN
fcis-23825	201	21	,	,	PUNCT
fcis-23825	201	22	m.	m.	PROPN
fcis-23825	201	23	f.	f.	PROPN
fcis-23825	201	24	,	,	PUNCT
fcis-23825	201	25	murti	murti	PROPN
fcis-23825	201	26	,	,	PUNCT
fcis-23825	201	27	m.	m.	NOUN
fcis-23825	201	28	a.	a.	PROPN
fcis-23825	201	29	,	,	PUNCT
fcis-23825	201	30	suhendi	suhendi	PROPN
fcis-23825	201	31	,	,	PUNCT
fcis-23825	201	32	a.	a.	NOUN
fcis-23825	201	33	,	,	PUNCT
fcis-23825	201	34	...	...	PUNCT
fcis-23825	201	35	&	&	CCONJ
fcis-23825	201	36	el	el	NOUN
fcis-23825	201	37	-	-	PUNCT
fcis-23825	201	38	shafie	shafie	NOUN
fcis-23825	201	39	,	,	PUNCT
fcis-23825	201	40	a.	a.	NOUN
fcis-23825	201	41	(	(	PUNCT
fcis-23825	201	42	2022	2022	NUM
fcis-23825	201	43	)	)	PUNCT
fcis-23825	201	44	.	.	PUNCT
fcis-23825	202	1	machine	machine	NOUN
fcis-23825	202	2	learning	learn	VERB
fcis-23825	202	3	algorithm	algorithm	NOUN
fcis-23825	202	4	as	as	ADP
fcis-23825	202	5	a	a	DET
fcis-23825	202	6	sustainable	sustainable	ADJ
fcis-23825	202	7	tool	tool	NOUN
fcis-23825	202	8	for	for	ADP
fcis-23825	202	9	dissolved	dissolve	VERB
fcis-23825	202	10	oxygen	oxygen	NOUN
fcis-23825	202	11	prediction	prediction	NOUN
fcis-23825	202	12	:	:	PUNCT
fcis-23825	202	13	a	a	DET
fcis-23825	202	14	case	case	NOUN
fcis-23825	202	15	study	study	NOUN
fcis-23825	202	16	of	of	ADP
fcis-23825	202	17	feitsui	feitsui	PROPN
fcis-23825	202	18	reservoir	reservoir	PROPN
fcis-23825	202	19	,	,	PUNCT
fcis-23825	202	20	taiwan	taiwan	PROPN
fcis-23825	202	21	.	.	PUNCT
fcis-23825	203	1	scientific	scientific	ADJ
fcis-23825	203	2	reports	report	NOUN
fcis-23825	203	3	,	,	PUNCT
fcis-23825	203	4	12(1	12(1	NUM
fcis-23825	203	5	)	)	PUNCT
fcis-23825	203	6	,	,	PUNCT
fcis-23825	203	7	3649	3649	NUM
fcis-23825	203	8	.	.	PUNCT
fcis-23825	204	1	[	[	X
fcis-23825	204	2	10	10	NUM
fcis-23825	204	3	]	]	PUNCT
fcis-23825	204	4	nair	nair	NOUN
fcis-23825	204	5	,	,	PUNCT
fcis-23825	204	6	j.	j.	PROPN
fcis-23825	204	7	p.	p.	PROPN
fcis-23825	204	8	,	,	PUNCT
fcis-23825	204	9	&	&	CCONJ
fcis-23825	204	10	vijaya	vijaya	PROPN
fcis-23825	204	11	,	,	PUNCT
fcis-23825	204	12	m.	m.	NOUN
fcis-23825	204	13	s.	s.	PROPN
fcis-23825	204	14	(	(	PUNCT
fcis-23825	204	15	2022	2022	NUM
fcis-23825	204	16	)	)	PUNCT
fcis-23825	204	17	.	.	PUNCT
fcis-23825	205	1	analysing	analyse	VERB
fcis-23825	205	2	and	and	CCONJ
fcis-23825	205	3	modelling	model	VERB
fcis-23825	205	4	dissolved	dissolve	VERB
fcis-23825	205	5	oxygen	oxygen	NOUN
fcis-23825	205	6	concentration	concentration	NOUN
fcis-23825	205	7	using	use	VERB
fcis-23825	205	8	deep	deep	ADJ
fcis-23825	205	9	learning	learning	NOUN
fcis-23825	205	10	architectures	architecture	NOUN
fcis-23825	205	11	.	.	PUNCT
fcis-23825	206	1	international	international	ADJ
fcis-23825	206	2	journal	journal	PROPN
fcis-23825	206	3	of	of	ADP
fcis-23825	206	4	mechanical	mechanical	ADJ
fcis-23825	206	5	engineering	engineering	NOUN
fcis-23825	206	6	,	,	PUNCT
fcis-23825	206	7	7	7	NUM
fcis-23825	206	8	,	,	PUNCT
fcis-23825	206	9	12	12	NUM
fcis-23825	206	10	-	-	SYM
fcis-23825	206	11	22	22	NUM
fcis-23825	206	12	.	.	PUNCT
fcis-23825	207	1	[	[	X
fcis-23825	207	2	11	11	NUM
fcis-23825	207	3	]	]	X
fcis-23825	207	4	chandra	chandra	PROPN
fcis-23825	207	5	,	,	PUNCT
fcis-23825	207	6	r.	r.	PROPN
fcis-23825	207	7	,	,	PUNCT
fcis-23825	207	8	goyal	goyal	PROPN
fcis-23825	207	9	,	,	PUNCT
fcis-23825	207	10	s.	s.	PROPN
fcis-23825	207	11	,	,	PUNCT
fcis-23825	207	12	&	&	CCONJ
fcis-23825	207	13	gupta	gupta	PROPN
fcis-23825	207	14	,	,	PUNCT
fcis-23825	207	15	r.	r.	PROPN
fcis-23825	207	16	(	(	PUNCT
fcis-23825	207	17	2021	2021	NUM
fcis-23825	207	18	)	)	PUNCT
fcis-23825	207	19	.	.	PUNCT
fcis-23825	208	1	evaluation	evaluation	NOUN
fcis-23825	208	2	of	of	ADP
fcis-23825	208	3	deep	deep	ADJ
fcis-23825	208	4	learning	learning	NOUN
fcis-23825	208	5	models	model	NOUN
fcis-23825	208	6	for	for	ADP
fcis-23825	208	7	multi	multi	ADJ
fcis-23825	208	8	-	-	ADJ
fcis-23825	208	9	step	step	NOUN
fcis-23825	208	10	ahead	ahead	ADJ
fcis-23825	208	11	time	time	NOUN
fcis-23825	208	12	series	series	PROPN
fcis-23825	208	13	prediction	prediction	PROPN
fcis-23825	208	14	.	.	PUNCT
fcis-23825	209	1	ieee	ieee	NOUN
fcis-23825	209	2	access	access	NOUN
fcis-23825	209	3	,	,	PUNCT
fcis-23825	209	4	9	9	NUM
fcis-23825	209	5	,	,	PUNCT
fcis-23825	209	6	83105	83105	NUM
fcis-23825	209	7	-	-	SYM
fcis-23825	209	8	83123	83123	NUM
fcis-23825	209	9	.	.	PUNCT
fcis-23825	210	1	[	[	X
fcis-23825	210	2	12	12	NUM
fcis-23825	210	3	]	]	X
fcis-23825	210	4	abdellah	abdellah	PROPN
fcis-23825	210	5	,	,	PUNCT
fcis-23825	210	6	a.	a.	PROPN
fcis-23825	210	7	r.	r.	PROPN
fcis-23825	210	8	,	,	PUNCT
fcis-23825	210	9	mahmood	mahmood	PROPN
fcis-23825	210	10	,	,	PUNCT
fcis-23825	210	11	o.	o.	PROPN
fcis-23825	210	12	a.	a.	PROPN
fcis-23825	210	13	k.	k.	PROPN
fcis-23825	210	14	,	,	PUNCT
fcis-23825	210	15	paramonov	paramonov	PROPN
fcis-23825	210	16	,	,	PUNCT
fcis-23825	210	17	a.	a.	NOUN
fcis-23825	210	18	,	,	PUNCT
fcis-23825	210	19	&	&	CCONJ
fcis-23825	210	20	koucheryavy	koucheryavy	PROPN
fcis-23825	210	21	,	,	PUNCT
fcis-23825	210	22	a.	a.	NOUN
fcis-23825	210	23	(	(	PUNCT
fcis-23825	210	24	2019	2019	NUM
fcis-23825	210	25	,	,	PUNCT
fcis-23825	210	26	october	october	PROPN
fcis-23825	210	27	)	)	PUNCT
fcis-23825	210	28	.	.	PUNCT
fcis-23825	211	1	iot	iot	PROPN
fcis-23825	211	2	traffic	traffic	NOUN
fcis-23825	211	3	prediction	prediction	NOUN
fcis-23825	211	4	using	use	VERB
fcis-23825	211	5	multi	multi	ADJ
fcis-23825	211	6	-	-	ADJ
fcis-23825	211	7	step	step	ADJ
fcis-23825	211	8	ahead	ahead	ADJ
fcis-23825	211	9	prediction	prediction	NOUN
fcis-23825	211	10	with	with	ADP
fcis-23825	211	11	neural	neural	ADJ
fcis-23825	211	12	network	network	NOUN
fcis-23825	211	13	.	.	PUNCT
fcis-23825	212	1	in	in	ADP
fcis-23825	212	2	2019	2019	NUM
fcis-23825	212	3	11th	11th	ADJ
fcis-23825	212	4	international	international	ADJ
fcis-23825	212	5	congress	congress	PROPN
fcis-23825	212	6	on	on	ADP
fcis-23825	212	7	ultra	ultra	ADJ
fcis-23825	212	8	modern	modern	ADJ
fcis-23825	212	9	telecommunications	telecommunication	NOUN
fcis-23825	212	10	and	and	CCONJ
fcis-23825	212	11	control	control	NOUN
fcis-23825	212	12	systems	system	NOUN
fcis-23825	212	13	and	and	CCONJ
fcis-23825	212	14	workshops	workshop	NOUN
fcis-23825	212	15	(	(	PUNCT
fcis-23825	212	16	icumt	icumt	ADJ
fcis-23825	212	17	)	)	PUNCT
fcis-23825	212	18	(	(	PUNCT
fcis-23825	212	19	pp	pp	X
fcis-23825	212	20	.	.	PUNCT
fcis-23825	213	1	1	1	NUM
fcis-23825	213	2	-	-	SYM
fcis-23825	213	3	4	4	NUM
fcis-23825	213	4	)	)	PUNCT
fcis-23825	213	5	.	.	PUNCT
fcis-23825	214	1	ieee	ieee	NOUN
fcis-23825	214	2	.	.	PUNCT
fcis-23825	215	1	[	[	X
fcis-23825	215	2	13	13	NUM
fcis-23825	215	3	]	]	SYM
fcis-23825	215	4	zhang	zhang	PROPN
fcis-23825	215	5	,	,	PUNCT
fcis-23825	215	6	l.	l.	PROPN
fcis-23825	215	7	,	,	PUNCT
fcis-23825	215	8	he	he	PRON
fcis-23825	215	9	,	,	PUNCT
fcis-23825	215	10	y.	y.	PROPN
fcis-23825	215	11	,	,	PUNCT
fcis-23825	215	12	wu	wu	PROPN
fcis-23825	215	13	,	,	PUNCT
fcis-23825	215	14	h.	h.	PROPN
fcis-23825	215	15	,	,	PUNCT
fcis-23825	215	16	yang	yang	PROPN
fcis-23825	215	17	,	,	PUNCT
fcis-23825	215	18	x.	x.	PROPN
fcis-23825	215	19	,	,	PUNCT
fcis-23825	215	20	&	&	CCONJ
fcis-23825	215	21	ding	ding	NOUN
fcis-23825	215	22	,	,	PUNCT
fcis-23825	215	23	m.	m.	NOUN
fcis-23825	215	24	(	(	PUNCT
fcis-23825	215	25	2023	2023	NUM
fcis-23825	215	26	)	)	PUNCT
fcis-23825	215	27	.	.	PUNCT
fcis-23825	215	28	ultrashort	ultrashort	NOUN
fcis-23825	215	29	-	-	PUNCT
fcis-23825	215	30	term	term	NOUN
fcis-23825	215	31	multi	multi	ADJ
fcis-23825	215	32	-	-	ADJ
fcis-23825	215	33	step	step	ADJ
fcis-23825	215	34	probability	probability	NOUN
fcis-23825	215	35	interval	interval	NOUN
fcis-23825	215	36	prediction	prediction	NOUN
fcis-23825	215	37	of	of	ADP
fcis-23825	215	38	13	13	NUM
fcis-23825	215	39	photovoltaic	photovoltaic	NOUN
fcis-23825	215	40	power	power	NOUN
fcis-23825	215	41	:	:	PUNCT
fcis-23825	215	42	a	a	DET
fcis-23825	215	43	framework	framework	NOUN
fcis-23825	215	44	with	with	ADP
fcis-23825	215	45	time	time	NOUN
fcis-23825	215	46	-	-	PUNCT
fcis-23825	215	47	series	series	NOUN
fcis-23825	215	48	-	-	PUNCT
fcis-23825	215	49	segment	segment	NOUN
fcis-23825	215	50	feature	feature	NOUN
fcis-23825	215	51	analysis	analysis	NOUN
fcis-23825	215	52	.	.	PUNCT
fcis-23825	216	1	solar	solar	ADJ
fcis-23825	216	2	energy	energy	NOUN
fcis-23825	216	3	,	,	PUNCT
fcis-23825	216	4	260	260	NUM
fcis-23825	216	5	,	,	PUNCT
fcis-23825	216	6	71	71	NUM
fcis-23825	216	7	-	-	SYM
fcis-23825	216	8	82	82	NUM
fcis-23825	216	9	.	.	PUNCT
fcis-23825	217	1	[	[	X
fcis-23825	217	2	14	14	NUM
fcis-23825	217	3	]	]	X
fcis-23825	217	4	taieb	taieb	PROPN
fcis-23825	217	5	,	,	PUNCT
fcis-23825	217	6	s.	s.	PROPN
fcis-23825	217	7	b.	b.	PROPN
fcis-23825	217	8	,	,	PUNCT
fcis-23825	217	9	bontempi	bontempi	PROPN
fcis-23825	217	10	,	,	PUNCT
fcis-23825	217	11	g.	g.	PROPN
fcis-23825	217	12	,	,	PUNCT
fcis-23825	217	13	atiya	atiya	PROPN
fcis-23825	217	14	,	,	PUNCT
fcis-23825	217	15	a.	a.	PROPN
fcis-23825	217	16	f.	f.	PROPN
fcis-23825	217	17	,	,	PUNCT
fcis-23825	217	18	&	&	CCONJ
fcis-23825	217	19	sorjamaa	sorjamaa	PROPN
fcis-23825	217	20	,	,	PUNCT
fcis-23825	217	21	a.	a.	NOUN
fcis-23825	217	22	(	(	PUNCT
fcis-23825	217	23	2012	2012	NUM
fcis-23825	217	24	)	)	PUNCT
fcis-23825	217	25	.	.	PUNCT
fcis-23825	218	1	a	a	DET
fcis-23825	218	2	review	review	NOUN
fcis-23825	218	3	and	and	CCONJ
fcis-23825	218	4	comparison	comparison	NOUN
fcis-23825	218	5	of	of	ADP
fcis-23825	218	6	strategies	strategy	NOUN
fcis-23825	218	7	for	for	ADP
fcis-23825	218	8	multi	multi	ADJ
fcis-23825	218	9	-	-	ADJ
fcis-23825	218	10	step	step	NOUN
fcis-23825	218	11	ahead	ahead	ADJ
fcis-23825	218	12	time	time	NOUN
fcis-23825	218	13	series	series	PROPN
fcis-23825	218	14	forecasting	forecasting	NOUN
fcis-23825	218	15	based	base	VERB
fcis-23825	218	16	on	on	ADP
fcis-23825	218	17	the	the	DET
fcis-23825	218	18	nn5	nn5	NOUN
fcis-23825	218	19	forecasting	forecasting	NOUN
fcis-23825	218	20	competition	competition	NOUN
fcis-23825	218	21	.	.	PUNCT
fcis-23825	219	1	expert	expert	NOUN
fcis-23825	219	2	systems	system	NOUN
fcis-23825	219	3	with	with	ADP
fcis-23825	219	4	applications	application	NOUN
fcis-23825	219	5	,	,	PUNCT
fcis-23825	219	6	39(8	39(8	NUM
fcis-23825	219	7	)	)	PUNCT
fcis-23825	219	8	,	,	PUNCT
fcis-23825	219	9	70677083	70677083	NUM
fcis-23825	219	10	.	.	PUNCT
fcis-23825	220	1	[	[	X
fcis-23825	220	2	15	15	NUM
fcis-23825	220	3	]	]	X
fcis-23825	220	4	qin	qin	PROPN
fcis-23825	220	5	,	,	PUNCT
fcis-23825	220	6	l.	l.	PROPN
fcis-23825	220	7	,	,	PUNCT
fcis-23825	220	8	li	li	PROPN
fcis-23825	220	9	,	,	PUNCT
fcis-23825	220	10	w.	w.	PROPN
fcis-23825	220	11	,	,	PUNCT
fcis-23825	220	12	&	&	CCONJ
fcis-23825	220	13	li	li	PROPN
fcis-23825	220	14	,	,	PUNCT
fcis-23825	220	15	s.	s.	PROPN
fcis-23825	220	16	(	(	PUNCT
fcis-23825	220	17	2019	2019	NUM
fcis-23825	220	18	)	)	PUNCT
fcis-23825	220	19	.	.	PUNCT
fcis-23825	221	1	effective	effective	ADJ
fcis-23825	221	2	passenger	passenger	NOUN
fcis-23825	221	3	flow	flow	NOUN
fcis-23825	221	4	forecasting	forecasting	NOUN
fcis-23825	221	5	using	use	VERB
fcis-23825	221	6	stl	stl	PROPN
fcis-23825	221	7	and	and	CCONJ
fcis-23825	221	8	esn	esn	PROPN
fcis-23825	221	9	based	base	VERB
fcis-23825	221	10	on	on	ADP
fcis-23825	221	11	two	two	NUM
fcis-23825	221	12	improvement	improvement	NOUN
fcis-23825	221	13	strategies	strategy	NOUN
fcis-23825	221	14	.	.	PUNCT
fcis-23825	222	1	neurocomputing	neurocomputing	NOUN
fcis-23825	222	2	,	,	PUNCT
fcis-23825	222	3	356	356	NUM
fcis-23825	222	4	,	,	PUNCT
fcis-23825	222	5	244	244	NUM
fcis-23825	222	6	-	-	SYM
fcis-23825	222	7	256	256	NUM
fcis-23825	222	8	.	.	PUNCT
fcis-23825	223	1	[	[	X
fcis-23825	223	2	16	16	NUM
fcis-23825	223	3	]	]	X
fcis-23825	223	4	selvin	selvin	PROPN
fcis-23825	223	5	,	,	PUNCT
fcis-23825	223	6	s.	s.	PROPN
fcis-23825	223	7	,	,	PUNCT
fcis-23825	223	8	vinayakumar	vinayakumar	PROPN
fcis-23825	223	9	,	,	PUNCT
fcis-23825	223	10	r.	r.	PROPN
fcis-23825	223	11	,	,	PUNCT
fcis-23825	223	12	gopalakrishnan	gopalakrishnan	NOUN
fcis-23825	223	13	,	,	PUNCT
fcis-23825	223	14	e.	e.	PROPN
fcis-23825	223	15	a.	a.	PROPN
fcis-23825	223	16	,	,	PUNCT
fcis-23825	223	17	menon	menon	PROPN
fcis-23825	223	18	,	,	PUNCT
fcis-23825	223	19	v.	v.	PROPN
fcis-23825	223	20	k.	k.	PROPN
fcis-23825	223	21	,	,	PUNCT
fcis-23825	223	22	&	&	CCONJ
fcis-23825	223	23	soman	soman	NOUN
fcis-23825	223	24	,	,	PUNCT
fcis-23825	223	25	k.	k.	PROPN
fcis-23825	224	1	p.	p.	PROPN
fcis-23825	224	2	(	(	PUNCT
fcis-23825	224	3	2017	2017	NUM
fcis-23825	224	4	,	,	PUNCT
fcis-23825	224	5	september	september	PROPN
fcis-23825	224	6	)	)	PUNCT
fcis-23825	224	7	.	.	PUNCT
fcis-23825	225	1	stock	stock	NOUN
fcis-23825	225	2	price	price	NOUN
fcis-23825	225	3	prediction	prediction	NOUN
fcis-23825	225	4	using	use	VERB
fcis-23825	225	5	lstm	lstm	NOUN
fcis-23825	225	6	,	,	PUNCT
fcis-23825	225	7	rnn	rnn	PROPN
fcis-23825	225	8	and	and	CCONJ
fcis-23825	225	9	cnn	cnn	PROPN
fcis-23825	225	10	-	-	PUNCT
fcis-23825	225	11	sliding	slide	VERB
fcis-23825	225	12	window	window	NOUN
fcis-23825	225	13	model	model	NOUN
fcis-23825	225	14	.	.	PUNCT
fcis-23825	226	1	in	in	ADP
fcis-23825	226	2	2017	2017	NUM
fcis-23825	226	3	international	international	ADJ
fcis-23825	226	4	conference	conference	NOUN
fcis-23825	226	5	on	on	ADP
fcis-23825	226	6	advances	advance	NOUN
fcis-23825	226	7	in	in	ADP
fcis-23825	226	8	computing	computing	NOUN
fcis-23825	226	9	,	,	PUNCT
fcis-23825	226	10	communications	communication	NOUN
fcis-23825	226	11	and	and	CCONJ
fcis-23825	226	12	informatics	informatic	NOUN
fcis-23825	226	13	(	(	PUNCT
fcis-23825	226	14	icacci	icacci	PROPN
fcis-23825	226	15	)	)	PUNCT
fcis-23825	226	16	(	(	PUNCT
fcis-23825	226	17	pp	pp	ADJ
fcis-23825	226	18	.	.	PUNCT
fcis-23825	227	1	1643	1643	NUM
fcis-23825	227	2	-	-	SYM
fcis-23825	227	3	1647	1647	NUM
fcis-23825	227	4	)	)	PUNCT
fcis-23825	227	5	.	.	PUNCT
fcis-23825	228	1	ieee	ieee	PROPN
fcis-23825	228	2	.	.	PUNCT
fcis-23825	229	1	[	[	X
fcis-23825	229	2	17	17	NUM
fcis-23825	229	3	]	]	X
fcis-23825	229	4	hochreiter	hochreiter	PROPN
fcis-23825	229	5	,	,	PUNCT
fcis-23825	229	6	s.	s.	PROPN
fcis-23825	229	7	,	,	PUNCT
fcis-23825	229	8	&	&	CCONJ
fcis-23825	229	9	schmidhuber	schmidhuber	PROPN
fcis-23825	229	10	,	,	PUNCT
fcis-23825	229	11	j.	j.	PROPN
fcis-23825	229	12	(	(	PUNCT
fcis-23825	229	13	1997	1997	NUM
fcis-23825	229	14	)	)	PUNCT
fcis-23825	229	15	.	.	PUNCT
fcis-23825	230	1	long	long	ADJ
fcis-23825	230	2	short	short	ADJ
fcis-23825	230	3	-	-	PUNCT
fcis-23825	230	4	term	term	NOUN
fcis-23825	230	5	memory	memory	NOUN
fcis-23825	230	6	.	.	PUNCT
fcis-23825	231	1	neural	neural	ADJ
fcis-23825	231	2	computation	computation	NOUN
fcis-23825	231	3	,	,	PUNCT
fcis-23825	231	4	9(8	9(8	NUM
fcis-23825	231	5	)	)	PUNCT
fcis-23825	231	6	,	,	PUNCT
fcis-23825	231	7	1735	1735	NUM
fcis-23825	231	8	-	-	SYM
fcis-23825	231	9	1780	1780	NUM
fcis-23825	231	10	.	.	PUNCT