id	sid	tid	token	lemma	pos
fcis-26857	1	1	frontiers	frontier	NOUN
fcis-26857	1	2	in	in	ADP
fcis-26857	1	3	computing	computing	NOUN
fcis-26857	1	4	and	and	CCONJ
fcis-26857	1	5	intelligent	intelligent	ADJ
fcis-26857	1	6	systems	system	NOUN
fcis-26857	1	7	issn	issn	VERB
fcis-26857	1	8	:	:	PUNCT
fcis-26857	1	9	2832	2832	NUM
fcis-26857	1	10	-	-	SYM
fcis-26857	1	11	6024	6024	NUM
fcis-26857	1	12	|	|	NOUN
fcis-26857	1	13	vol	vol	NOUN
fcis-26857	1	14	.	.	PROPN
fcis-26857	2	1	10	10	NUM
fcis-26857	2	2	,	,	PUNCT
fcis-26857	2	3	no	no	INTJ
fcis-26857	2	4	.	.	NOUN
fcis-26857	2	5	2	2	NUM
fcis-26857	2	6	,	,	PUNCT
fcis-26857	2	7	2024	2024	NUM
fcis-26857	2	8	6	6	NUM
fcis-26857	2	9	precipitation	precipitation	NOUN
fcis-26857	2	10	prediction	prediction	NOUN
fcis-26857	2	11	in	in	ADP
fcis-26857	2	12	suqian	suqian	PROPN
fcis-26857	2	13	city	city	PROPN
fcis-26857	2	14	,	,	PUNCT
fcis-26857	2	15	jiangsu	jiangsu	PROPN
fcis-26857	2	16	province	province	PROPN
fcis-26857	2	17	of	of	ADP
fcis-26857	2	18	china	china	PROPN
fcis-26857	2	19	using	use	VERB
fcis-26857	2	20	lstm	lstm	NOUN
fcis-26857	2	21	based	base	VERB
fcis-26857	2	22	on	on	ADP
fcis-26857	2	23	grey	grey	ADJ
fcis-26857	2	24	wolf	wolf	PROPN
fcis-26857	2	25	optimizer	optimizer	NOUN
fcis-26857	2	26	algorithm	algorithm	PROPN
fcis-26857	2	27	yifan	yifan	X
fcis-26857	2	28	zhang	zhang	PROPN
fcis-26857	2	29	1	1	NUM
fcis-26857	2	30	,	,	PUNCT
fcis-26857	2	31	ruiwei	ruiwei	VERB
fcis-26857	2	32	zhang	zhang	PROPN
fcis-26857	2	33	2	2	NUM
fcis-26857	2	34	,	,	PUNCT
fcis-26857	2	35	shihan	shihan	PROPN
fcis-26857	2	36	zhang	zhang	PROPN
fcis-26857	2	37	1	1	NUM
fcis-26857	2	38	,	,	PUNCT
fcis-26857	2	39	zhifu	zhifu	VERB
fcis-26857	2	40	jia	jia	PROPN
fcis-26857	2	41	1	1	NUM
fcis-26857	2	42	,	,	PUNCT
fcis-26857	2	43	*	*	PUNCT
fcis-26857	2	44	1	1	NUM
fcis-26857	2	45	school	school	NOUN
fcis-26857	2	46	of	of	ADP
fcis-26857	2	47	mathematics	mathematic	NOUN
fcis-26857	2	48	and	and	CCONJ
fcis-26857	2	49	sciences	science	NOUN
fcis-26857	2	50	,	,	PUNCT
fcis-26857	2	51	suqian	suqian	PROPN
fcis-26857	2	52	university	university	NOUN
fcis-26857	2	53	,	,	PUNCT
fcis-26857	2	54	suqian	suqian	NOUN
fcis-26857	2	55	,	,	PUNCT
fcis-26857	2	56	jiangsu	jiangsu	PROPN
fcis-26857	2	57	,	,	PUNCT
fcis-26857	2	58	china	china	PROPN
fcis-26857	2	59	2	2	NUM
fcis-26857	2	60	school	school	NOUN
fcis-26857	2	61	of	of	ADP
fcis-26857	2	62	information	information	NOUN
fcis-26857	2	63	engineering	engineering	NOUN
fcis-26857	2	64	,	,	PUNCT
fcis-26857	2	65	suqian	suqian	PROPN
fcis-26857	2	66	university	university	NOUN
fcis-26857	2	67	,	,	PUNCT
fcis-26857	2	68	suqian	suqian	NOUN
fcis-26857	2	69	,	,	PUNCT
fcis-26857	2	70	jiangsu	jiangsu	PROPN
fcis-26857	2	71	,	,	PUNCT
fcis-26857	2	72	china	china	PROPN
fcis-26857	2	73	*	*	PUNCT
fcis-26857	2	74	corresponding	correspond	VERB
fcis-26857	2	75	author	author	NOUN
fcis-26857	2	76	:	:	PUNCT
fcis-26857	2	77	zhifu	zhifu	PROPN
fcis-26857	2	78	jia	jia	PROPN
fcis-26857	2	79	(	(	PUNCT
fcis-26857	2	80	email	email	NOUN
fcis-26857	2	81	:	:	PUNCT
fcis-26857	2	82	jzflzbx@163.com	jzflzbx@163.com	PROPN
fcis-26857	2	83	)	)	PUNCT
fcis-26857	2	84	yifan	yifan	PROPN
fcis-26857	2	85	zhang	zhang	PROPN
fcis-26857	2	86	and	and	CCONJ
fcis-26857	2	87	ruiwei	ruiwei	PROPN
fcis-26857	2	88	zhang	zhang	PROPN
fcis-26857	2	89	are	be	AUX
fcis-26857	2	90	co	co	ADJ
fcis-26857	2	91	-	-	ADJ
fcis-26857	2	92	first	first	ADJ
fcis-26857	2	93	authors	author	NOUN
fcis-26857	2	94	abstract	abstract	ADJ
fcis-26857	2	95	:	:	PUNCT
fcis-26857	2	96	to	to	PART
fcis-26857	2	97	enhance	enhance	VERB
fcis-26857	2	98	urban	urban	ADJ
fcis-26857	2	99	planning	planning	NOUN
fcis-26857	2	100	and	and	CCONJ
fcis-26857	2	101	disaster	disaster	NOUN
fcis-26857	2	102	management	management	NOUN
fcis-26857	2	103	in	in	ADP
fcis-26857	2	104	the	the	DET
fcis-26857	2	105	context	context	NOUN
fcis-26857	2	106	of	of	ADP
fcis-26857	2	107	global	global	ADJ
fcis-26857	2	108	climate	climate	NOUN
fcis-26857	2	109	change	change	NOUN
fcis-26857	2	110	,	,	PUNCT
fcis-26857	2	111	we	we	PRON
fcis-26857	2	112	focused	focus	VERB
fcis-26857	2	113	on	on	ADP
fcis-26857	2	114	precipitation	precipitation	NOUN
fcis-26857	2	115	forecasting	forecasting	NOUN
fcis-26857	2	116	in	in	ADP
fcis-26857	2	117	suqian	suqian	PROPN
fcis-26857	2	118	city	city	PROPN
fcis-26857	2	119	,	,	PUNCT
fcis-26857	2	120	jiangsu	jiangsu	PROPN
fcis-26857	2	121	province	province	PROPN
fcis-26857	2	122	,	,	PUNCT
fcis-26857	2	123	and	and	CCONJ
fcis-26857	2	124	established	establish	VERB
fcis-26857	2	125	a	a	DET
fcis-26857	2	126	long	long	ADJ
fcis-26857	2	127	short	short	ADJ
fcis-26857	2	128	-	-	PUNCT
fcis-26857	2	129	term	term	NOUN
fcis-26857	2	130	memory	memory	NOUN
fcis-26857	2	131	(	(	PUNCT
fcis-26857	2	132	lstm	lstm	NOUN
fcis-26857	2	133	)	)	PUNCT
fcis-26857	2	134	model	model	NOUN
fcis-26857	2	135	optimized	optimize	VERB
fcis-26857	2	136	by	by	ADP
fcis-26857	2	137	the	the	DET
fcis-26857	2	138	grey	grey	ADJ
fcis-26857	2	139	wolf	wolf	PROPN
fcis-26857	2	140	optimizer	optimizer	NOUN
fcis-26857	2	141	(	(	PUNCT
fcis-26857	2	142	gwo	gwo	NOUN
fcis-26857	2	143	)	)	PUNCT
fcis-26857	2	144	algorithm	algorithm	NOUN
fcis-26857	2	145	.	.	PUNCT
fcis-26857	3	1	firstly	firstly	ADV
fcis-26857	3	2	,	,	PUNCT
fcis-26857	3	3	we	we	PRON
fcis-26857	3	4	collected	collect	VERB
fcis-26857	3	5	five	five	NUM
fcis-26857	3	6	years	year	NOUN
fcis-26857	3	7	of	of	ADP
fcis-26857	3	8	precipitation	precipitation	NOUN
fcis-26857	3	9	data	datum	NOUN
fcis-26857	3	10	to	to	PART
fcis-26857	3	11	ensure	ensure	VERB
fcis-26857	3	12	a	a	DET
fcis-26857	3	13	solid	solid	ADJ
fcis-26857	3	14	foundation	foundation	NOUN
fcis-26857	3	15	for	for	ADP
fcis-26857	3	16	model	model	NOUN
fcis-26857	3	17	training	training	NOUN
fcis-26857	3	18	.	.	PUNCT
fcis-26857	4	1	secondly	secondly	ADV
fcis-26857	4	2	,	,	PUNCT
fcis-26857	4	3	we	we	PRON
fcis-26857	4	4	integrated	integrate	VERB
fcis-26857	4	5	the	the	DET
fcis-26857	4	6	gwo	gwo	PROPN
fcis-26857	4	7	algorithm	algorithm	NOUN
fcis-26857	4	8	to	to	PART
fcis-26857	4	9	optimize	optimize	VERB
fcis-26857	4	10	the	the	DET
fcis-26857	4	11	lstm	lstm	PROPN
fcis-26857	4	12	model	model	NOUN
fcis-26857	4	13	parameters	parameter	NOUN
fcis-26857	4	14	,	,	PUNCT
fcis-26857	4	15	thereby	thereby	ADV
fcis-26857	4	16	improving	improve	VERB
fcis-26857	4	17	prediction	prediction	NOUN
fcis-26857	4	18	accuracy	accuracy	NOUN
fcis-26857	4	19	.	.	PUNCT
fcis-26857	5	1	through	through	ADP
fcis-26857	5	2	data	datum	NOUN
fcis-26857	5	3	preprocessing	preprocessing	NOUN
fcis-26857	5	4	,	,	PUNCT
fcis-26857	5	5	model	model	NOUN
fcis-26857	5	6	establishment	establishment	NOUN
fcis-26857	5	7	,	,	PUNCT
fcis-26857	5	8	and	and	CCONJ
fcis-26857	5	9	validation	validation	NOUN
fcis-26857	5	10	,	,	PUNCT
fcis-26857	5	11	we	we	PRON
fcis-26857	5	12	successfully	successfully	ADV
fcis-26857	5	13	constructed	construct	VERB
fcis-26857	5	14	a	a	DET
fcis-26857	5	15	precipitation	precipitation	NOUN
fcis-26857	5	16	forecasting	forecasting	NOUN
fcis-26857	5	17	model	model	NOUN
fcis-26857	5	18	tailored	tailor	VERB
fcis-26857	5	19	for	for	ADP
fcis-26857	5	20	both	both	CCONJ
fcis-26857	5	21	rainy	rainy	ADJ
fcis-26857	5	22	and	and	CCONJ
fcis-26857	5	23	non	non	ADJ
fcis-26857	5	24	-	-	ADJ
fcis-26857	5	25	rainy	rainy	ADJ
fcis-26857	5	26	seasons	season	NOUN
fcis-26857	5	27	in	in	ADP
fcis-26857	5	28	suqian	suqian	NOUN
fcis-26857	5	29	.	.	PUNCT
fcis-26857	6	1	lastly	lastly	ADV
fcis-26857	6	2	,	,	PUNCT
fcis-26857	6	3	utilizing	utilize	VERB
fcis-26857	6	4	this	this	DET
fcis-26857	6	5	model	model	NOUN
fcis-26857	6	6	,	,	PUNCT
fcis-26857	6	7	we	we	PRON
fcis-26857	6	8	predicted	predict	VERB
fcis-26857	6	9	the	the	DET
fcis-26857	6	10	precipitation	precipitation	NOUN
fcis-26857	6	11	volume	volume	NOUN
fcis-26857	6	12	for	for	ADP
fcis-26857	6	13	the	the	DET
fcis-26857	6	14	upcoming	upcoming	ADJ
fcis-26857	6	15	12	12	NUM
fcis-26857	6	16	months	month	NOUN
fcis-26857	6	17	in	in	ADP
fcis-26857	6	18	suqian	suqian	NOUN
fcis-26857	6	19	and	and	CCONJ
fcis-26857	6	20	proposed	propose	VERB
fcis-26857	6	21	targeted	target	VERB
fcis-26857	6	22	countermeasures	countermeasure	NOUN
fcis-26857	6	23	and	and	CCONJ
fcis-26857	6	24	suggestions	suggestion	NOUN
fcis-26857	6	25	based	base	VERB
fcis-26857	6	26	on	on	ADP
fcis-26857	6	27	the	the	DET
fcis-26857	6	28	forecast	forecast	NOUN
fcis-26857	6	29	results	result	NOUN
fcis-26857	6	30	to	to	PART
fcis-26857	6	31	guide	guide	VERB
fcis-26857	6	32	urban	urban	ADJ
fcis-26857	6	33	planning	planning	NOUN
fcis-26857	6	34	and	and	CCONJ
fcis-26857	6	35	disaster	disaster	NOUN
fcis-26857	6	36	management	management	NOUN
fcis-26857	6	37	efforts	effort	NOUN
fcis-26857	6	38	,	,	PUNCT
fcis-26857	6	39	ensuring	ensure	VERB
fcis-26857	6	40	that	that	SCONJ
fcis-26857	6	41	suqian	suqian	PROPN
fcis-26857	6	42	can	can	AUX
fcis-26857	6	43	effectively	effectively	ADV
fcis-26857	6	44	address	address	VERB
fcis-26857	6	45	the	the	DET
fcis-26857	6	46	challenges	challenge	NOUN
fcis-26857	6	47	posed	pose	VERB
fcis-26857	6	48	by	by	ADP
fcis-26857	6	49	future	future	ADJ
fcis-26857	6	50	precipitation	precipitation	NOUN
fcis-26857	6	51	changes	change	NOUN
fcis-26857	6	52	.	.	PUNCT
fcis-26857	7	1	additionally	additionally	ADV
fcis-26857	7	2	,	,	PUNCT
fcis-26857	7	3	by	by	ADP
fcis-26857	7	4	combining	combine	VERB
fcis-26857	7	5	actual	actual	ADJ
fcis-26857	7	6	conditions	condition	NOUN
fcis-26857	7	7	with	with	ADP
fcis-26857	7	8	predictive	predictive	ADJ
fcis-26857	7	9	data	datum	NOUN
fcis-26857	7	10	,	,	PUNCT
fcis-26857	7	11	we	we	PRON
fcis-26857	7	12	refined	refine	VERB
fcis-26857	7	13	and	and	CCONJ
fcis-26857	7	14	optimized	optimize	VERB
fcis-26857	7	15	suqian	suqian	NOUN
fcis-26857	7	16	's	's	PART
fcis-26857	7	17	precipitation	precipitation	NOUN
fcis-26857	7	18	management	management	NOUN
fcis-26857	7	19	strategies	strategy	NOUN
fcis-26857	7	20	.	.	PUNCT
fcis-26857	8	1	keywords	keyword	NOUN
fcis-26857	8	2	:	:	PUNCT
fcis-26857	8	3	lstm	lstm	ADJ
fcis-26857	8	4	;	;	PUNCT
fcis-26857	8	5	gwo	gwo	PROPN
fcis-26857	8	6	;	;	PUNCT
fcis-26857	8	7	adf	adf	PROPN
fcis-26857	8	8	test	test	NOUN
fcis-26857	8	9	;	;	PUNCT
fcis-26857	8	10	armia	armia	PROPN
fcis-26857	8	11	;	;	PUNCT
fcis-26857	8	12	gray	gray	ADJ
fcis-26857	8	13	prediction	prediction	NOUN
fcis-26857	8	14	.	.	PUNCT
fcis-26857	9	1	1	1	X
fcis-26857	9	2	.	.	X
fcis-26857	9	3	introduction	introduction	NOUN
fcis-26857	9	4	as	as	ADP
fcis-26857	9	5	global	global	ADJ
fcis-26857	9	6	climate	climate	NOUN
fcis-26857	9	7	change	change	NOUN
fcis-26857	9	8	intensifies	intensifie	NOUN
fcis-26857	9	9	,	,	PUNCT
fcis-26857	9	10	precipitation	precipitation	NOUN
fcis-26857	9	11	forecasting	forecasting	NOUN
fcis-26857	9	12	becomes	become	VERB
fcis-26857	9	13	critical	critical	ADJ
fcis-26857	9	14	.	.	PUNCT
fcis-26857	10	1	precipitation	precipitation	NOUN
fcis-26857	10	2	,	,	PUNCT
fcis-26857	10	3	as	as	ADP
fcis-26857	10	4	the	the	DET
fcis-26857	10	5	core	core	NOUN
fcis-26857	10	6	of	of	ADP
fcis-26857	10	7	the	the	DET
fcis-26857	10	8	water	water	NOUN
fcis-26857	10	9	cycle	cycle	NOUN
fcis-26857	10	10	,	,	PUNCT
fcis-26857	10	11	is	be	AUX
fcis-26857	10	12	relevant	relevant	ADJ
fcis-26857	10	13	to	to	ADP
fcis-26857	10	14	agriculture	agriculture	NOUN
fcis-26857	10	15	,	,	PUNCT
fcis-26857	10	16	water	water	NOUN
fcis-26857	10	17	resources	resource	NOUN
fcis-26857	10	18	,	,	PUNCT
fcis-26857	10	19	urban	urban	ADJ
fcis-26857	10	20	planning	planning	NOUN
fcis-26857	10	21	and	and	CCONJ
fcis-26857	10	22	infrastructure	infrastructure	NOUN
fcis-26857	10	23	.	.	PUNCT
fcis-26857	11	1	as	as	ADP
fcis-26857	11	2	a	a	DET
fcis-26857	11	3	climate	climate	NOUN
fcis-26857	11	4	transition	transition	NOUN
fcis-26857	11	5	zone	zone	NOUN
fcis-26857	11	6	,	,	PUNCT
fcis-26857	11	7	suqian	suqian	ADJ
fcis-26857	11	8	city	city	NOUN
fcis-26857	11	9	is	be	AUX
fcis-26857	11	10	frequently	frequently	ADV
fcis-26857	11	11	affected	affect	VERB
fcis-26857	11	12	by	by	ADP
fcis-26857	11	13	floods	flood	NOUN
fcis-26857	11	14	and	and	CCONJ
fcis-26857	11	15	droughts	drought	NOUN
fcis-26857	11	16	,	,	PUNCT
fcis-26857	11	17	and	and	CCONJ
fcis-26857	11	18	high	high	ADJ
fcis-26857	11	19	-	-	PUNCT
fcis-26857	11	20	precision	precision	NOUN
fcis-26857	11	21	precipitation	precipitation	NOUN
fcis-26857	11	22	modelling	modelling	NOUN
fcis-26857	11	23	is	be	AUX
fcis-26857	11	24	crucial	crucial	ADJ
fcis-26857	11	25	for	for	ADP
fcis-26857	11	26	disaster	disaster	NOUN
fcis-26857	11	27	mitigation	mitigation	NOUN
fcis-26857	11	28	and	and	CCONJ
fcis-26857	11	29	cost	cost	NOUN
fcis-26857	11	30	reduction	reduction	NOUN
fcis-26857	11	31	.	.	PUNCT
fcis-26857	12	1	predicting	predict	VERB
fcis-26857	12	2	precipitation	precipitation	NOUN
fcis-26857	12	3	fluctuations	fluctuation	NOUN
fcis-26857	12	4	helps	help	VERB
fcis-26857	12	5	flood	flood	NOUN
fcis-26857	12	6	control	control	NOUN
fcis-26857	12	7	,	,	PUNCT
fcis-26857	12	8	drought	drought	NOUN
fcis-26857	12	9	prevention	prevention	NOUN
fcis-26857	12	10	and	and	CCONJ
fcis-26857	12	11	ecological	ecological	ADJ
fcis-26857	12	12	maintenance	maintenance	NOUN
fcis-26857	12	13	,	,	PUNCT
fcis-26857	12	14	and	and	CCONJ
fcis-26857	12	15	also	also	ADV
fcis-26857	12	16	provides	provide	VERB
fcis-26857	12	17	data	data	NOUN
fcis-26857	12	18	support	support	NOUN
fcis-26857	12	19	and	and	CCONJ
fcis-26857	12	20	decision	decision	NOUN
fcis-26857	12	21	-	-	PUNCT
fcis-26857	12	22	making	making	NOUN
fcis-26857	12	23	basis	basis	NOUN
fcis-26857	12	24	for	for	ADP
fcis-26857	12	25	coping	cope	VERB
fcis-26857	12	26	with	with	ADP
fcis-26857	12	27	extreme	extreme	ADJ
fcis-26857	12	28	weather	weather	NOUN
fcis-26857	12	29	.	.	PUNCT
fcis-26857	13	1	the	the	DET
fcis-26857	13	2	instability	instability	NOUN
fcis-26857	13	3	of	of	ADP
fcis-26857	13	4	precipitation	precipitation	NOUN
fcis-26857	13	5	not	not	PART
fcis-26857	13	6	only	only	ADV
fcis-26857	13	7	affects	affect	VERB
fcis-26857	13	8	all	all	DET
fcis-26857	13	9	aspects	aspect	NOUN
fcis-26857	13	10	of	of	ADP
fcis-26857	13	11	social	social	ADJ
fcis-26857	13	12	production	production	NOUN
fcis-26857	13	13	and	and	CCONJ
fcis-26857	13	14	life	life	NOUN
fcis-26857	13	15	,	,	PUNCT
fcis-26857	13	16	but	but	CCONJ
fcis-26857	13	17	its	its	PRON
fcis-26857	13	18	quantity	quantity	NOUN
fcis-26857	13	19	and	and	CCONJ
fcis-26857	13	20	period	period	NOUN
fcis-26857	13	21	greatly	greatly	ADV
fcis-26857	13	22	influence	influence	VERB
fcis-26857	13	23	the	the	DET
fcis-26857	13	24	yield	yield	NOUN
fcis-26857	13	25	and	and	CCONJ
fcis-26857	13	26	quality	quality	NOUN
fcis-26857	13	27	of	of	ADP
fcis-26857	13	28	agriculture	agriculture	NOUN
fcis-26857	13	29	,	,	PUNCT
fcis-26857	13	30	people	people	NOUN
fcis-26857	13	31	's	's	PART
fcis-26857	13	32	daily	daily	ADJ
fcis-26857	13	33	travelling	travelling	NOUN
fcis-26857	13	34	,	,	PUNCT
fcis-26857	13	35	and	and	CCONJ
fcis-26857	13	36	the	the	DET
fcis-26857	13	37	frequency	frequency	NOUN
fcis-26857	13	38	of	of	ADP
fcis-26857	13	39	natural	natural	ADJ
fcis-26857	13	40	disasters	disaster	NOUN
fcis-26857	13	41	such	such	ADJ
fcis-26857	13	42	as	as	ADP
fcis-26857	13	43	floods	flood	NOUN
fcis-26857	13	44	,	,	PUNCT
fcis-26857	13	45	landslides	landslide	NOUN
fcis-26857	13	46	and	and	CCONJ
fcis-26857	13	47	mudslides	mudslide	NOUN
fcis-26857	13	48	.	.	PUNCT
fcis-26857	14	1	accurate	accurate	ADJ
fcis-26857	14	2	precipitation	precipitation	NOUN
fcis-26857	14	3	prediction	prediction	NOUN
fcis-26857	14	4	is	be	AUX
fcis-26857	14	5	critical	critical	ADJ
fcis-26857	14	6	to	to	ADP
fcis-26857	14	7	combating	combat	VERB
fcis-26857	14	8	climate	climate	NOUN
fcis-26857	14	9	change	change	NOUN
fcis-26857	14	10	,	,	PUNCT
fcis-26857	14	11	safeguarding	safeguard	VERB
fcis-26857	14	12	people	people	NOUN
fcis-26857	14	13	's	's	PART
fcis-26857	14	14	livelihoods	livelihood	NOUN
fcis-26857	14	15	and	and	CCONJ
fcis-26857	14	16	promoting	promote	VERB
fcis-26857	14	17	sustainable	sustainable	ADJ
fcis-26857	14	18	economic	economic	ADJ
fcis-26857	14	19	development	development	NOUN
fcis-26857	14	20	.	.	PUNCT
fcis-26857	15	1	research	research	NOUN
fcis-26857	15	2	on	on	ADP
fcis-26857	15	3	precipitation	precipitation	NOUN
fcis-26857	15	4	prediction	prediction	NOUN
fcis-26857	15	5	technology	technology	NOUN
fcis-26857	15	6	is	be	AUX
fcis-26857	15	7	essential	essential	ADJ
fcis-26857	15	8	to	to	PART
fcis-26857	15	9	address	address	VERB
fcis-26857	15	10	the	the	DET
fcis-26857	15	11	challenges	challenge	NOUN
fcis-26857	15	12	of	of	ADP
fcis-26857	15	13	climate	climate	NOUN
fcis-26857	15	14	warming	warming	NOUN
fcis-26857	15	15	and	and	CCONJ
fcis-26857	15	16	to	to	PART
fcis-26857	15	17	ensure	ensure	VERB
fcis-26857	15	18	food	food	NOUN
fcis-26857	15	19	security	security	NOUN
fcis-26857	15	20	,	,	PUNCT
fcis-26857	15	21	resource	resource	NOUN
fcis-26857	15	22	protection	protection	NOUN
fcis-26857	15	23	and	and	CCONJ
fcis-26857	15	24	economic	economic	ADJ
fcis-26857	15	25	stability	stability	NOUN
fcis-26857	15	26	.	.	PUNCT
fcis-26857	16	1	efficient	efficient	ADJ
fcis-26857	16	2	prediction	prediction	NOUN
fcis-26857	16	3	models	model	NOUN
fcis-26857	16	4	can	can	AUX
fcis-26857	16	5	warn	warn	VERB
fcis-26857	16	6	of	of	ADP
fcis-26857	16	7	precipitation	precipitation	NOUN
fcis-26857	16	8	anomalies	anomaly	NOUN
fcis-26857	16	9	,	,	PUNCT
fcis-26857	16	10	optimise	optimise	ADJ
fcis-26857	16	11	water	water	NOUN
fcis-26857	16	12	resource	resource	NOUN
fcis-26857	16	13	management	management	NOUN
fcis-26857	16	14	and	and	CCONJ
fcis-26857	16	15	mitigate	mitigate	VERB
fcis-26857	16	16	the	the	DET
fcis-26857	16	17	negative	negative	ADJ
fcis-26857	16	18	impacts	impact	NOUN
fcis-26857	16	19	of	of	ADP
fcis-26857	16	20	extreme	extreme	ADJ
fcis-26857	16	21	weather	weather	NOUN
fcis-26857	16	22	.	.	PUNCT
fcis-26857	17	1	in	in	ADP
fcis-26857	17	2	suqian	suqian	PROPN
fcis-26857	17	3	city	city	PROPN
fcis-26857	17	4	,	,	PUNCT
fcis-26857	17	5	jiangsu	jiangsu	PROPN
fcis-26857	17	6	province	province	PROPN
fcis-26857	17	7	,	,	PUNCT
fcis-26857	17	8	located	locate	VERB
fcis-26857	17	9	in	in	ADP
fcis-26857	17	10	the	the	DET
fcis-26857	17	11	transition	transition	NOUN
fcis-26857	17	12	from	from	ADP
fcis-26857	17	13	the	the	DET
fcis-26857	17	14	subtropical	subtropical	ADJ
fcis-26857	17	15	monsoon	monsoon	NOUN
fcis-26857	17	16	zone	zone	NOUN
fcis-26857	17	17	to	to	ADP
fcis-26857	17	18	the	the	DET
fcis-26857	17	19	temperate	temperate	ADJ
fcis-26857	17	20	monsoon	monsoon	NOUN
fcis-26857	17	21	zone	zone	NOUN
fcis-26857	17	22	along	along	ADP
fcis-26857	17	23	the	the	DET
fcis-26857	17	24	huaihe	huaihe	PROPN
fcis-26857	17	25	river	river	PROPN
fcis-26857	17	26	,	,	PUNCT
fcis-26857	17	27	it	it	PRON
fcis-26857	17	28	is	be	AUX
fcis-26857	17	29	strongly	strongly	ADV
fcis-26857	17	30	influenced	influence	VERB
fcis-26857	17	31	by	by	ADP
fcis-26857	17	32	the	the	DET
fcis-26857	17	33	monsoon	monsoon	NOUN
fcis-26857	17	34	.	.	PUNCT
fcis-26857	18	1	because	because	SCONJ
fcis-26857	18	2	of	of	ADP
fcis-26857	18	3	its	its	PRON
fcis-26857	18	4	flat	flat	ADJ
fcis-26857	18	5	terrain	terrain	NOUN
fcis-26857	18	6	,	,	PUNCT
fcis-26857	18	7	its	its	PRON
fcis-26857	18	8	water	water	NOUN
fcis-26857	18	9	volume	volume	NOUN
fcis-26857	18	10	changes	change	NOUN
fcis-26857	18	11	periodically	periodically	ADV
fcis-26857	18	12	,	,	PUNCT
fcis-26857	18	13	and	and	CCONJ
fcis-26857	18	14	the	the	DET
fcis-26857	18	15	rise	rise	NOUN
fcis-26857	18	16	in	in	ADP
fcis-26857	18	17	rainfall	rainfall	NOUN
fcis-26857	18	18	greatly	greatly	ADV
fcis-26857	18	19	affects	affect	VERB
fcis-26857	18	20	the	the	DET
fcis-26857	18	21	growth	growth	NOUN
fcis-26857	18	22	and	and	CCONJ
fcis-26857	18	23	production	production	NOUN
fcis-26857	18	24	of	of	ADP
fcis-26857	18	25	crops	crop	NOUN
fcis-26857	18	26	.	.	PUNCT
fcis-26857	19	1	the	the	DET
fcis-26857	19	2	excessive	excessive	ADJ
fcis-26857	19	3	rainfall	rainfall	NOUN
fcis-26857	19	4	in	in	ADP
fcis-26857	19	5	turn	turn	NOUN
fcis-26857	19	6	leads	lead	VERB
fcis-26857	19	7	to	to	ADP
fcis-26857	19	8	urban	urban	ADJ
fcis-26857	19	9	flooding	flooding	NOUN
fcis-26857	19	10	,	,	PUNCT
fcis-26857	19	11	causing	cause	VERB
fcis-26857	19	12	unpredictable	unpredictable	ADJ
fcis-26857	19	13	damage	damage	NOUN
fcis-26857	19	14	to	to	ADP
fcis-26857	19	15	local	local	ADJ
fcis-26857	19	16	development	development	NOUN
fcis-26857	19	17	and	and	CCONJ
fcis-26857	19	18	construction	construction	NOUN
fcis-26857	19	19	.	.	PUNCT
fcis-26857	20	1	grasping	grasp	VERB
fcis-26857	20	2	the	the	DET
fcis-26857	20	3	regular	regular	ADJ
fcis-26857	20	4	changes	change	NOUN
fcis-26857	20	5	of	of	ADP
fcis-26857	20	6	precipitation	precipitation	NOUN
fcis-26857	20	7	in	in	ADP
fcis-26857	20	8	the	the	DET
fcis-26857	20	9	region	region	NOUN
fcis-26857	20	10	can	can	AUX
fcis-26857	20	11	strengthen	strengthen	VERB
fcis-26857	20	12	the	the	DET
fcis-26857	20	13	ability	ability	NOUN
fcis-26857	20	14	of	of	ADP
fcis-26857	20	15	the	the	DET
fcis-26857	20	16	relevant	relevant	ADJ
fcis-26857	20	17	departments	department	NOUN
fcis-26857	20	18	to	to	PART
fcis-26857	20	19	prevent	prevent	VERB
fcis-26857	20	20	floods	flood	NOUN
fcis-26857	20	21	and	and	CCONJ
fcis-26857	20	22	floods	flood	NOUN
fcis-26857	20	23	,	,	PUNCT
fcis-26857	20	24	so	so	SCONJ
fcis-26857	20	25	that	that	SCONJ
fcis-26857	20	26	people	people	NOUN
fcis-26857	20	27	's	's	PART
fcis-26857	20	28	production	production	NOUN
fcis-26857	20	29	and	and	CCONJ
fcis-26857	20	30	life	life	NOUN
fcis-26857	20	31	can	can	AUX
fcis-26857	20	32	be	be	AUX
fcis-26857	20	33	guaranteed	guarantee	VERB
fcis-26857	20	34	.	.	PUNCT
fcis-26857	21	1	in	in	ADP
fcis-26857	21	2	this	this	DET
fcis-26857	21	3	paper	paper	NOUN
fcis-26857	21	4	,	,	PUNCT
fcis-26857	21	5	we	we	PRON
fcis-26857	21	6	use	use	VERB
fcis-26857	21	7	the	the	DET
fcis-26857	21	8	grey	grey	ADJ
fcis-26857	21	9	wolf	wolf	PROPN
fcis-26857	21	10	optimisation	optimisation	NOUN
fcis-26857	21	11	algorithm	algorithm	NOUN
fcis-26857	21	12	and	and	CCONJ
fcis-26857	21	13	the	the	DET
fcis-26857	21	14	long	long	ADJ
fcis-26857	21	15	and	and	CCONJ
fcis-26857	21	16	short	short	ADJ
fcis-26857	21	17	-	-	PUNCT
fcis-26857	21	18	term	term	NOUN
fcis-26857	21	19	memory	memory	NOUN
fcis-26857	21	20	neural	neural	ADJ
fcis-26857	21	21	network	network	NOUN
fcis-26857	21	22	method	method	NOUN
fcis-26857	21	23	for	for	ADP
fcis-26857	21	24	the	the	DET
fcis-26857	21	25	changes	change	NOUN
fcis-26857	21	26	of	of	ADP
fcis-26857	21	27	precipitation	precipitation	NOUN
fcis-26857	21	28	in	in	ADP
fcis-26857	21	29	suqian	suqian	PROPN
fcis-26857	21	30	,	,	PUNCT
fcis-26857	21	31	jiangsu	jiangsu	PROPN
fcis-26857	21	32	province	province	PROPN
fcis-26857	21	33	.	.	PUNCT
fcis-26857	22	1	we	we	PRON
fcis-26857	22	2	take	take	VERB
fcis-26857	22	3	the	the	DET
fcis-26857	22	4	past	past	NOUN
fcis-26857	22	5	its	its	PRON
fcis-26857	22	6	precipitation	precipitation	NOUN
fcis-26857	22	7	in	in	ADP
fcis-26857	22	8	the	the	DET
fcis-26857	22	9	four	four	NUM
fcis-26857	22	10	years	year	NOUN
fcis-26857	22	11	of	of	ADP
fcis-26857	22	12	20192022	20192022	NUM
fcis-26857	22	13	as	as	ADP
fcis-26857	22	14	a	a	DET
fcis-26857	22	15	training	training	NOUN
fcis-26857	22	16	set	set	NOUN
fcis-26857	22	17	,	,	PUNCT
fcis-26857	22	18	and	and	CCONJ
fcis-26857	22	19	the	the	DET
fcis-26857	22	20	precipitation	precipitation	NOUN
fcis-26857	22	21	in	in	ADP
fcis-26857	22	22	the	the	DET
fcis-26857	22	23	year	year	NOUN
fcis-26857	22	24	2023	2023	NUM
fcis-26857	22	25	as	as	ADP
fcis-26857	22	26	a	a	DET
fcis-26857	22	27	validation	validation	NOUN
fcis-26857	22	28	set	set	NOUN
fcis-26857	22	29	.	.	PUNCT
fcis-26857	23	1	the	the	DET
fcis-26857	23	2	number	number	NOUN
fcis-26857	23	3	of	of	ADP
fcis-26857	23	4	network	network	NOUN
fcis-26857	23	5	layers	layer	NOUN
fcis-26857	23	6	,	,	PUNCT
fcis-26857	23	7	the	the	DET
fcis-26857	23	8	number	number	NOUN
fcis-26857	23	9	of	of	ADP
fcis-26857	23	10	neurons	neuron	NOUN
fcis-26857	23	11	per	per	ADP
fcis-26857	23	12	layer	layer	NOUN
fcis-26857	23	13	,	,	PUNCT
fcis-26857	23	14	and	and	CCONJ
fcis-26857	23	15	the	the	DET
fcis-26857	23	16	learning	learning	NOUN
fcis-26857	23	17	rate	rate	NOUN
fcis-26857	23	18	are	be	AUX
fcis-26857	23	19	rationally	rationally	ADV
fcis-26857	23	20	selected	select	VERB
fcis-26857	23	21	in	in	ADP
fcis-26857	23	22	the	the	DET
fcis-26857	23	23	genetic	genetic	ADJ
fcis-26857	23	24	method	method	NOUN
fcis-26857	23	25	,	,	PUNCT
fcis-26857	23	26	and	and	CCONJ
fcis-26857	23	27	the	the	DET
fcis-26857	23	28	parameters	parameter	NOUN
fcis-26857	23	29	are	be	AUX
fcis-26857	23	30	automatically	automatically	ADV
fcis-26857	23	31	selected	select	VERB
fcis-26857	23	32	to	to	PART
fcis-26857	23	33	achieve	achieve	VERB
fcis-26857	23	34	a	a	DET
fcis-26857	23	35	good	good	ADJ
fcis-26857	23	36	balance	balance	NOUN
fcis-26857	23	37	of	of	ADP
fcis-26857	23	38	search	search	NOUN
fcis-26857	23	39	efficiency	efficiency	NOUN
fcis-26857	23	40	and	and	CCONJ
fcis-26857	23	41	solution	solution	NOUN
fcis-26857	23	42	quality	quality	NOUN
fcis-26857	23	43	.	.	PUNCT
fcis-26857	24	1	the	the	DET
fcis-26857	24	2	aim	aim	NOUN
fcis-26857	24	3	is	be	AUX
fcis-26857	24	4	to	to	PART
fcis-26857	24	5	seek	seek	VERB
fcis-26857	24	6	to	to	PART
fcis-26857	24	7	get	get	VERB
fcis-26857	24	8	the	the	DET
fcis-26857	24	9	optimal	optimal	ADJ
fcis-26857	24	10	solution	solution	NOUN
fcis-26857	24	11	.	.	PUNCT
fcis-26857	25	1	2	2	X
fcis-26857	25	2	.	.	X
fcis-26857	25	3	status	status	NOUN
fcis-26857	25	4	of	of	ADP
fcis-26857	25	5	research	research	NOUN
fcis-26857	25	6	2.1	2.1	NUM
fcis-26857	25	7	.	.	PUNCT
fcis-26857	26	1	gwo	gwo	PROPN
fcis-26857	26	2	optimisation	optimisation	PROPN
fcis-26857	26	3	model	model	NOUN
fcis-26857	26	4	study	study	NOUN
fcis-26857	26	5	grey	grey	PROPN
fcis-26857	26	6	wolf	wolf	PROPN
fcis-26857	26	7	optimizer	optimizer	NOUN
fcis-26857	26	8	(	(	PUNCT
fcis-26857	26	9	gwo	gwo	PROPN
fcis-26857	26	10	)	)	PUNCT
fcis-26857	26	11	,	,	PUNCT
fcis-26857	26	12	a	a	DET
fcis-26857	26	13	swarm	swarm	NOUN
fcis-26857	26	14	intelligence	intelligence	NOUN
fcis-26857	26	15	optimisation	optimisation	NOUN
fcis-26857	26	16	algorithm	algorithm	NOUN
fcis-26857	26	17	proposed	propose	VERB
fcis-26857	26	18	in	in	ADP
fcis-26857	26	19	2014	2014	NUM
fcis-26857	26	20	by	by	ADP
fcis-26857	26	21	griffith	griffith	PROPN
fcis-26857	26	22	university	university	PROPN
fcis-26857	26	23	,	,	PUNCT
fcis-26857	26	24	australia	australia	PROPN
fcis-26857	26	25	,	,	PUNCT
fcis-26857	26	26	academics	academic	NOUN
fcis-26857	26	27	mirjalili	mirjalili	NOUN
fcis-26857	26	28	et	et	PROPN
fcis-26857	26	29	al.[1	al.[1	PROPN
fcis-26857	26	30	]	]	PUNCT
fcis-26857	26	31	.	.	PUNCT
fcis-26857	27	1	inspired	inspire	VERB
fcis-26857	27	2	by	by	ADP
fcis-26857	27	3	grey	grey	PROPN
fcis-26857	27	4	wolf	wolf	PROPN
fcis-26857	27	5	group	group	PROPN
fcis-26857	27	6	predatory	predatory	NOUN
fcis-26857	27	7	behaviour	behaviour	NOUN
fcis-26857	27	8	,	,	PUNCT
fcis-26857	27	9	the	the	DET
fcis-26857	27	10	gwo	gwo	PROPN
fcis-26857	27	11	algorithm	algorithm	PROPN
fcis-26857	27	12	simulates	simulate	VERB
fcis-26857	27	13	the	the	DET
fcis-26857	27	14	leadership	leadership	NOUN
fcis-26857	27	15	hierarchy	hierarchy	NOUN
fcis-26857	27	16	and	and	CCONJ
fcis-26857	27	17	hunting	hunt	VERB
fcis-26857	27	18	mechanism	mechanism	NOUN
fcis-26857	27	19	of	of	ADP
fcis-26857	27	20	grey	grey	ADJ
fcis-26857	27	21	wolves	wolf	NOUN
fcis-26857	27	22	in	in	ADP
fcis-26857	27	23	nature	nature	NOUN
fcis-26857	27	24	.	.	PUNCT
fcis-26857	28	1	the	the	DET
fcis-26857	28	2	classification	classification	NOUN
fcis-26857	28	3	of	of	ADP
fcis-26857	28	4	grey	grey	ADJ
fcis-26857	28	5	wolves	wolf	NOUN
fcis-26857	28	6	into	into	ADP
fcis-26857	28	7	four	four	NUM
fcis-26857	28	8	types	type	NOUN
fcis-26857	28	9	was	be	AUX
fcis-26857	28	10	used	use	VERB
fcis-26857	28	11	to	to	PART
fcis-26857	28	12	simulate	simulate	VERB
fcis-26857	28	13	hierarchical	hierarchical	ADJ
fcis-26857	28	14	strata	strata	NOUN
fcis-26857	28	15	.	.	PUNCT
fcis-26857	29	1	in	in	ADP
fcis-26857	29	2	addition	addition	NOUN
fcis-26857	29	3	,	,	PUNCT
fcis-26857	29	4	the	the	DET
fcis-26857	29	5	three	three	NUM
fcis-26857	29	6	main	main	ADJ
fcis-26857	29	7	phases	phase	NOUN
fcis-26857	29	8	of	of	ADP
fcis-26857	29	9	finding	find	VERB
fcis-26857	29	10	prey	prey	NOUN
fcis-26857	29	11	,	,	PUNCT
fcis-26857	29	12	surrounding	surround	VERB
fcis-26857	29	13	prey	prey	NOUN
fcis-26857	29	14	and	and	CCONJ
fcis-26857	29	15	attacking	attack	VERB
fcis-26857	29	16	prey	prey	NOUN
fcis-26857	29	17	are	be	AUX
fcis-26857	29	18	also	also	ADV
fcis-26857	29	19	modelled	model	VERB
fcis-26857	29	20	.	.	PUNCT
fcis-26857	30	1	2.2	2.2	NUM
fcis-26857	30	2	.	.	PUNCT
fcis-26857	31	1	lstm	lstm	NOUN
fcis-26857	31	2	modelling	model	VERB
fcis-26857	31	3	study	study	NOUN
fcis-26857	31	4	the	the	DET
fcis-26857	31	5	long	long	ADJ
fcis-26857	31	6	short	short	ADJ
fcis-26857	31	7	term	term	NOUN
fcis-26857	31	8	memory	memory	NOUN
fcis-26857	31	9	neural	neural	ADJ
fcis-26857	31	10	network	network	NOUN
fcis-26857	31	11	,	,	PUNCT
fcis-26857	31	12	or	or	CCONJ
fcis-26857	31	13	lstm	lstm	NOUN
fcis-26857	31	14	,	,	PUNCT
fcis-26857	31	15	is	be	AUX
fcis-26857	31	16	a	a	DET
fcis-26857	31	17	special	special	ADJ
fcis-26857	31	18	type	type	NOUN
fcis-26857	31	19	of	of	ADP
fcis-26857	31	20	recurrent	recurrent	ADJ
fcis-26857	31	21	neural	neural	ADJ
fcis-26857	31	22	network	network	NOUN
fcis-26857	31	23	designed	design	VERB
fcis-26857	31	24	to	to	PART
fcis-26857	31	25	solve	solve	VERB
fcis-26857	31	26	the	the	DET
fcis-26857	31	27	problem	problem	NOUN
fcis-26857	31	28	that	that	SCONJ
fcis-26857	31	29	the	the	DET
fcis-26857	31	30	activation	activation	NOUN
fcis-26857	31	31	functions	function	NOUN
fcis-26857	31	32	sigmoid	sigmoid	NOUN
fcis-26857	31	33	and	and	CCONJ
fcis-26857	31	34	tanh	tanh	NOUN
fcis-26857	31	35	functions	function	NOUN
fcis-26857	31	36	in	in	ADP
fcis-26857	31	37	medium	medium	ADJ
fcis-26857	31	38	and	and	CCONJ
fcis-26857	31	39	long	long	ADJ
fcis-26857	31	40	sequences	sequence	NOUN
fcis-26857	31	41	training	training	NOUN
fcis-26857	31	42	with	with	ADP
fcis-26857	31	43	large	large	ADJ
fcis-26857	31	44	or	or	CCONJ
fcis-26857	31	45	small	small	ADJ
fcis-26857	31	46	inputs	input	NOUN
fcis-26857	31	47	will	will	AUX
fcis-26857	31	48	result	result	VERB
fcis-26857	31	49	in	in	ADP
fcis-26857	31	50	a	a	DET
fcis-26857	31	51	convergence	convergence	NOUN
fcis-26857	31	52	to	to	ADP
fcis-26857	31	53	0	0	NUM
fcis-26857	31	54	or	or	CCONJ
fcis-26857	31	55	infinite	infinite	VERB
fcis-26857	31	56	7	7	NUM
fcis-26857	31	57	values	value	NOUN
fcis-26857	31	58	,	,	PUNCT
fcis-26857	31	59	which	which	PRON
fcis-26857	31	60	can	can	AUX
fcis-26857	31	61	lead	lead	VERB
fcis-26857	31	62	to	to	ADP
fcis-26857	31	63	gradient	gradient	NOUN
fcis-26857	31	64	vanishing	vanishing	NOUN
fcis-26857	31	65	or	or	CCONJ
fcis-26857	31	66	gradient	gradient	NOUN
fcis-26857	31	67	explosion	explosion	NOUN
fcis-26857	31	68	.	.	PUNCT
fcis-26857	32	1	unlike	unlike	ADP
fcis-26857	32	2	standard	standard	ADJ
fcis-26857	32	3	recurrent	recurrent	ADJ
fcis-26857	32	4	neural	neural	ADJ
fcis-26857	32	5	networks	network	NOUN
fcis-26857	32	6	(	(	PUNCT
fcis-26857	32	7	rnn	rnn	PROPN
fcis-26857	32	8	)	)	PUNCT
fcis-26857	32	9	,	,	PUNCT
fcis-26857	32	10	lstm	lstm	NOUN
fcis-26857	32	11	introduces	introduce	VERB
fcis-26857	32	12	memory	memory	NOUN
fcis-26857	32	13	cells	cell	NOUN
fcis-26857	32	14	to	to	PART
fcis-26857	32	15	control	control	VERB
fcis-26857	32	16	the	the	DET
fcis-26857	32	17	flow	flow	NOUN
fcis-26857	32	18	of	of	ADP
fcis-26857	32	19	information	information	NOUN
fcis-26857	32	20	in	in	ADP
fcis-26857	32	21	the	the	DET
fcis-26857	32	22	network	network	NOUN
fcis-26857	32	23	.	.	PUNCT
fcis-26857	33	1	unlike	unlike	ADP
fcis-26857	33	2	other	other	ADJ
fcis-26857	33	3	sequences	sequence	NOUN
fcis-26857	33	4	,	,	PUNCT
fcis-26857	33	5	lstm	lstm	NOUN
fcis-26857	33	6	introduces	introduce	VERB
fcis-26857	33	7	control	control	NOUN
fcis-26857	33	8	units	unit	NOUN
fcis-26857	33	9	of	of	ADP
fcis-26857	33	10	gates	gate	NOUN
fcis-26857	33	11	,	,	PUNCT
fcis-26857	33	12	i.e.	i.e.	X
fcis-26857	33	13	,	,	PUNCT
fcis-26857	33	14	input	input	NOUN
fcis-26857	33	15	gates	gate	NOUN
fcis-26857	33	16	,	,	PUNCT
fcis-26857	33	17	forget	forget	VERB
fcis-26857	33	18	gates	gate	NOUN
fcis-26857	33	19	,	,	PUNCT
fcis-26857	33	20	and	and	CCONJ
fcis-26857	33	21	output	output	NOUN
fcis-26857	33	22	gates	gate	NOUN
fcis-26857	33	23	constitute[2	constitute[2	ADV
fcis-26857	33	24	]	]	PUNCT
fcis-26857	33	25	that	that	PRON
fcis-26857	33	26	are	be	AUX
fcis-26857	33	27	capable	capable	ADJ
fcis-26857	33	28	of	of	ADP
fcis-26857	33	29	retaining	retain	VERB
fcis-26857	33	30	and	and	CCONJ
fcis-26857	33	31	transmitting	transmit	VERB
fcis-26857	33	32	information	information	NOUN
fcis-26857	33	33	from	from	ADP
fcis-26857	33	34	longer	long	ADJ
fcis-26857	33	35	temporal	temporal	ADJ
fcis-26857	33	36	sequences	sequence	NOUN
fcis-26857	33	37	in	in	ADP
fcis-26857	33	38	the	the	DET
fcis-26857	33	39	past	past	NOUN
fcis-26857	33	40	.	.	PUNCT
fcis-26857	34	1	with	with	ADP
fcis-26857	34	2	forgetting	forget	VERB
fcis-26857	34	3	gates	gate	NOUN
fcis-26857	34	4	,	,	PUNCT
fcis-26857	34	5	the	the	DET
fcis-26857	34	6	model	model	NOUN
fcis-26857	34	7	can	can	AUX
fcis-26857	34	8	selectively	selectively	ADV
fcis-26857	34	9	ignore	ignore	VERB
fcis-26857	34	10	irrelevant	irrelevant	ADJ
fcis-26857	34	11	information	information	NOUN
fcis-26857	34	12	,	,	PUNCT
fcis-26857	34	13	making	make	VERB
fcis-26857	34	14	it	it	PRON
fcis-26857	34	15	more	more	ADV
fcis-26857	34	16	effective	effective	ADJ
fcis-26857	34	17	in	in	ADP
fcis-26857	34	18	dealing	deal	VERB
fcis-26857	34	19	with	with	ADP
fcis-26857	34	20	long	long	ADJ
fcis-26857	34	21	-	-	PUNCT
fcis-26857	34	22	term	term	NOUN
fcis-26857	34	23	time	time	NOUN
fcis-26857	34	24	series	series	PROPN
fcis-26857	34	25	data	data	PROPN
fcis-26857	34	26	.	.	PUNCT
fcis-26857	35	1	in	in	ADP
fcis-26857	35	2	the	the	DET
fcis-26857	35	3	recent	recent	ADJ
fcis-26857	35	4	development	development	NOUN
fcis-26857	35	5	of	of	ADP
fcis-26857	35	6	deep	deep	ADJ
fcis-26857	35	7	learning	learning	NOUN
fcis-26857	35	8	,	,	PUNCT
fcis-26857	35	9	lstm	lstm	ADJ
fcis-26857	35	10	,	,	PUNCT
fcis-26857	35	11	as	as	ADP
fcis-26857	35	12	part	part	NOUN
fcis-26857	35	13	of	of	ADP
fcis-26857	35	14	the	the	DET
fcis-26857	35	15	machine	machine	NOUN
fcis-26857	35	16	learning	learning	NOUN
fcis-26857	35	17	method	method	NOUN
fcis-26857	35	18	,	,	PUNCT
fcis-26857	35	19	simulates	simulate	VERB
fcis-26857	35	20	the	the	DET
fcis-26857	35	21	structure	structure	NOUN
fcis-26857	35	22	and	and	CCONJ
fcis-26857	35	23	function	function	NOUN
fcis-26857	35	24	of	of	ADP
fcis-26857	35	25	the	the	DET
fcis-26857	35	26	neural	neural	ADJ
fcis-26857	35	27	network	network	NOUN
fcis-26857	35	28	of	of	ADP
fcis-26857	35	29	the	the	DET
fcis-26857	35	30	human	human	ADJ
fcis-26857	35	31	brain	brain	NOUN
fcis-26857	35	32	,	,	PUNCT
fcis-26857	35	33	with	with	ADP
fcis-26857	35	34	powerful	powerful	ADJ
fcis-26857	35	35	computational	computational	ADJ
fcis-26857	35	36	and	and	CCONJ
fcis-26857	35	37	data	datum	NOUN
fcis-26857	35	38	analysis	analysis	NOUN
fcis-26857	35	39	capabilities[3	capabilities[3	NOUN
fcis-26857	35	40	]	]	PUNCT
fcis-26857	35	41	.the	.the	PUNCT
fcis-26857	35	42	lstm	lstm	PROPN
fcis-26857	35	43	model	model	PROPN
fcis-26857	35	44	solves	solve	VERB
fcis-26857	35	45	the	the	DET
fcis-26857	35	46	problem	problem	NOUN
fcis-26857	35	47	of	of	ADP
fcis-26857	35	48	gradient	gradient	ADJ
fcis-26857	35	49	explosion	explosion	NOUN
fcis-26857	35	50	through	through	ADP
fcis-26857	35	51	a	a	DET
fcis-26857	35	52	gate	gate	NOUN
fcis-26857	35	53	structure	structure	NOUN
fcis-26857	35	54	that	that	PRON
fcis-26857	35	55	controls	control	VERB
fcis-26857	35	56	the	the	DET
fcis-26857	35	57	degree	degree	NOUN
fcis-26857	35	58	of	of	ADP
fcis-26857	35	59	information	information	NOUN
fcis-26857	35	60	retention	retention	NOUN
fcis-26857	35	61	,	,	PUNCT
fcis-26857	35	62	thus	thus	ADV
fcis-26857	35	63	enabling	enable	VERB
fcis-26857	35	64	the	the	DET
fcis-26857	35	65	processing	processing	NOUN
fcis-26857	35	66	of	of	ADP
fcis-26857	35	67	complex	complex	ADJ
fcis-26857	35	68	nonlinear	nonlinear	ADJ
fcis-26857	35	69	time	time	NOUN
fcis-26857	35	70	-	-	PUNCT
fcis-26857	35	71	series	series	NOUN
fcis-26857	35	72	data	datum	NOUN
fcis-26857	35	73	.	.	PUNCT
fcis-26857	36	1	such	such	ADJ
fcis-26857	36	2	networks	network	NOUN
fcis-26857	36	3	are	be	AUX
fcis-26857	36	4	able	able	ADJ
fcis-26857	36	5	to	to	PART
fcis-26857	36	6	efficiently	efficiently	ADV
fcis-26857	36	7	process	process	VERB
fcis-26857	36	8	long	long	ADJ
fcis-26857	36	9	sequential	sequential	ADJ
fcis-26857	36	10	data	datum	NOUN
fcis-26857	36	11	and	and	CCONJ
fcis-26857	36	12	learn	learn	VERB
fcis-26857	36	13	to	to	PART
fcis-26857	36	14	remember	remember	VERB
fcis-26857	36	15	long	long	ADJ
fcis-26857	36	16	-	-	PUNCT
fcis-26857	36	17	term	term	NOUN
fcis-26857	36	18	dependencies	dependency	NOUN
fcis-26857	36	19	,	,	PUNCT
fcis-26857	36	20	which	which	PRON
fcis-26857	36	21	excels	excel	VERB
fcis-26857	36	22	in	in	ADP
fcis-26857	36	23	tasks	task	NOUN
fcis-26857	36	24	such	such	ADJ
fcis-26857	36	25	as	as	ADP
fcis-26857	36	26	natural	natural	ADJ
fcis-26857	36	27	language	language	NOUN
fcis-26857	36	28	processing	processing	NOUN
fcis-26857	36	29	and	and	CCONJ
fcis-26857	36	30	time	time	NOUN
fcis-26857	36	31	series	series	PROPN
fcis-26857	36	32	prediction[3	prediction[3	PROPN
fcis-26857	36	33	]	]	PUNCT
fcis-26857	36	34	.	.	PUNCT
fcis-26857	37	1	the	the	DET
fcis-26857	37	2	emergence	emergence	NOUN
fcis-26857	37	3	of	of	ADP
fcis-26857	37	4	lstm	lstm	NOUN
fcis-26857	37	5	has	have	AUX
fcis-26857	37	6	greatly	greatly	ADV
fcis-26857	37	7	boosted	boost	VERB
fcis-26857	37	8	the	the	DET
fcis-26857	37	9	application	application	NOUN
fcis-26857	37	10	of	of	ADP
fcis-26857	37	11	deep	deep	ADJ
fcis-26857	37	12	learning	learning	NOUN
fcis-26857	37	13	in	in	ADP
fcis-26857	37	14	the	the	DET
fcis-26857	37	15	field	field	NOUN
fcis-26857	37	16	of	of	ADP
fcis-26857	37	17	sequence	sequence	NOUN
fcis-26857	37	18	modelling	modelling	NOUN
fcis-26857	37	19	and	and	CCONJ
fcis-26857	37	20	prediction	prediction	NOUN
fcis-26857	37	21	.	.	PUNCT
fcis-26857	38	1	compared	compare	VERB
fcis-26857	38	2	with	with	ADP
fcis-26857	38	3	the	the	DET
fcis-26857	38	4	traditional	traditional	ADJ
fcis-26857	38	5	rnn	rnn	NOUN
fcis-26857	38	6	,	,	PUNCT
fcis-26857	38	7	lstm	lstm	NOUN
fcis-26857	38	8	is	be	AUX
fcis-26857	38	9	able	able	ADJ
fcis-26857	38	10	to	to	PART
fcis-26857	38	11	better	well	ADV
fcis-26857	38	12	capture	capture	VERB
fcis-26857	38	13	and	and	CCONJ
fcis-26857	38	14	utilise	utilise	VERB
fcis-26857	38	15	long	long	ADJ
fcis-26857	38	16	-	-	PUNCT
fcis-26857	38	17	term	term	NOUN
fcis-26857	38	18	dependencies	dependency	NOUN
fcis-26857	38	19	in	in	ADP
fcis-26857	38	20	time	time	NOUN
fcis-26857	38	21	series	series	PROPN
fcis-26857	38	22	data	data	PROPN
fcis-26857	38	23	,	,	PUNCT
fcis-26857	38	24	enabling	enable	VERB
fcis-26857	38	25	the	the	DET
fcis-26857	38	26	model	model	NOUN
fcis-26857	38	27	to	to	PART
fcis-26857	38	28	achieve	achieve	VERB
fcis-26857	38	29	remarkable	remarkable	ADJ
fcis-26857	38	30	results	result	NOUN
fcis-26857	38	31	in	in	ADP
fcis-26857	38	32	dealing	deal	VERB
fcis-26857	38	33	with	with	ADP
fcis-26857	38	34	language	language	NOUN
fcis-26857	38	35	,	,	PUNCT
fcis-26857	38	36	audio	audio	NOUN
fcis-26857	38	37	,	,	PUNCT
fcis-26857	38	38	video	video	NOUN
fcis-26857	38	39	and	and	CCONJ
fcis-26857	38	40	other	other	ADJ
fcis-26857	38	41	facing	face	VERB
fcis-26857	38	42	natural	natural	ADJ
fcis-26857	38	43	languages	language	NOUN
fcis-26857	38	44	.	.	PUNCT
fcis-26857	39	1	at	at	ADP
fcis-26857	39	2	the	the	DET
fcis-26857	39	3	same	same	ADJ
fcis-26857	39	4	time	time	NOUN
fcis-26857	39	5	,	,	PUNCT
fcis-26857	39	6	it	it	PRON
fcis-26857	39	7	has	have	AUX
fcis-26857	39	8	shown	show	VERB
fcis-26857	39	9	good	good	ADJ
fcis-26857	39	10	results	result	NOUN
fcis-26857	39	11	in	in	ADP
fcis-26857	39	12	predicting	predict	VERB
fcis-26857	39	13	weather	weather	NOUN
fcis-26857	39	14	and	and	CCONJ
fcis-26857	39	15	climate	climate	NOUN
fcis-26857	39	16	change	change	NOUN
fcis-26857	39	17	,	,	PUNCT
fcis-26857	39	18	in	in	ADP
fcis-26857	39	19	order	order	NOUN
fcis-26857	39	20	to	to	PART
fcis-26857	39	21	meet	meet	VERB
fcis-26857	39	22	the	the	DET
fcis-26857	39	23	challenges	challenge	NOUN
fcis-26857	39	24	posed	pose	VERB
fcis-26857	39	25	by	by	ADP
fcis-26857	39	26	climate	climate	NOUN
fcis-26857	39	27	change	change	NOUN
fcis-26857	39	28	.	.	PUNCT
fcis-26857	40	1	2.3	2.3	NUM
fcis-26857	40	2	.	.	PUNCT
fcis-26857	41	1	precipitation	precipitation	NOUN
fcis-26857	41	2	forecasting	forecasting	NOUN
fcis-26857	41	3	studies	study	NOUN
fcis-26857	41	4	climate	climate	NOUN
fcis-26857	41	5	change	change	NOUN
fcis-26857	41	6	in	in	ADP
fcis-26857	41	7	china	china	PROPN
fcis-26857	41	8	is	be	AUX
fcis-26857	41	9	receiving	receive	VERB
fcis-26857	41	10	increasing	increase	VERB
fcis-26857	41	11	attention	attention	NOUN
fcis-26857	41	12	from	from	ADP
fcis-26857	41	13	experts	expert	NOUN
fcis-26857	41	14	and	and	CCONJ
fcis-26857	41	15	scholars	scholar	NOUN
fcis-26857	41	16	in	in	ADP
fcis-26857	41	17	the	the	DET
fcis-26857	41	18	context	context	NOUN
fcis-26857	41	19	of	of	ADP
fcis-26857	41	20	global	global	ADJ
fcis-26857	41	21	warming	warming	NOUN
fcis-26857	41	22	.	.	PUNCT
fcis-26857	42	1	china	china	PROPN
fcis-26857	42	2	's	's	PART
fcis-26857	42	3	climate	climate	NOUN
fcis-26857	42	4	system	system	NOUN
fcis-26857	42	5	has	have	AUX
fcis-26857	42	6	continued	continue	VERB
fcis-26857	42	7	to	to	PART
fcis-26857	42	8	warm	warm	VERB
fcis-26857	42	9	,	,	PUNCT
fcis-26857	42	10	and	and	CCONJ
fcis-26857	42	11	it	it	PRON
fcis-26857	42	12	has	have	AUX
fcis-26857	42	13	become	become	VERB
fcis-26857	42	14	a	a	DET
fcis-26857	42	15	sensitive	sensitive	ADJ
fcis-26857	42	16	area	area	NOUN
fcis-26857	42	17	and	and	CCONJ
fcis-26857	42	18	an	an	DET
fcis-26857	42	19	area	area	NOUN
fcis-26857	42	20	of	of	ADP
fcis-26857	42	21	significant	significant	ADJ
fcis-26857	42	22	impact	impact	NOUN
fcis-26857	42	23	of	of	ADP
fcis-26857	42	24	global	global	ADJ
fcis-26857	42	25	climate	climate	NOUN
fcis-26857	42	26	change	change	NOUN
fcis-26857	42	27	.	.	PUNCT
fcis-26857	43	1	extreme	extreme	ADJ
fcis-26857	43	2	heavy	heavy	ADJ
fcis-26857	43	3	precipitation	precipitation	NOUN
fcis-26857	43	4	events	event	NOUN
fcis-26857	43	5	have	have	AUX
fcis-26857	43	6	increased	increase	VERB
fcis-26857	43	7	,	,	PUNCT
fcis-26857	43	8	extreme	extreme	ADJ
fcis-26857	43	9	low	low	ADJ
fcis-26857	43	10	-	-	PUNCT
fcis-26857	43	11	temperature	temperature	NOUN
fcis-26857	43	12	events	event	NOUN
fcis-26857	43	13	have	have	AUX
fcis-26857	43	14	decreased	decrease	VERB
fcis-26857	43	15	significantly	significantly	ADV
fcis-26857	43	16	,	,	PUNCT
fcis-26857	43	17	and	and	CCONJ
fcis-26857	43	18	extreme	extreme	ADJ
fcis-26857	43	19	high	high	ADJ
fcis-26857	43	20	-	-	PUNCT
fcis-26857	43	21	temperature	temperature	NOUN
fcis-26857	43	22	events	event	NOUN
fcis-26857	43	23	are	be	AUX
fcis-26857	43	24	frequent	frequent	ADJ
fcis-26857	43	25	.	.	PUNCT
fcis-26857	44	1	in	in	ADP
fcis-26857	44	2	this	this	DET
fcis-26857	44	3	context	context	NOUN
fcis-26857	44	4	,	,	PUNCT
fcis-26857	44	5	precipitation	precipitation	NOUN
fcis-26857	44	6	prediction	prediction	NOUN
fcis-26857	44	7	has	have	AUX
fcis-26857	44	8	become	become	VERB
fcis-26857	44	9	particularly	particularly	ADV
fcis-26857	44	10	important	important	ADJ
fcis-26857	44	11	.	.	PUNCT
fcis-26857	45	1	and	and	CCONJ
fcis-26857	45	2	statistical	statistical	ADJ
fcis-26857	45	3	theory	theory	NOUN
fcis-26857	45	4	has	have	AUX
fcis-26857	45	5	developed	develop	VERB
fcis-26857	45	6	rapidly	rapidly	ADV
fcis-26857	45	7	since	since	SCONJ
fcis-26857	45	8	the	the	DET
fcis-26857	45	9	20th	20th	ADJ
fcis-26857	45	10	century	century	NOUN
fcis-26857	45	11	,	,	PUNCT
fcis-26857	45	12	combined	combine	VERB
fcis-26857	45	13	with	with	ADP
fcis-26857	45	14	advances	advance	NOUN
fcis-26857	45	15	in	in	ADP
fcis-26857	45	16	computer	computer	NOUN
fcis-26857	45	17	technology	technology	NOUN
fcis-26857	45	18	,	,	PUNCT
fcis-26857	45	19	to	to	PART
fcis-26857	45	20	provide	provide	VERB
fcis-26857	45	21	strong	strong	ADJ
fcis-26857	45	22	support	support	NOUN
fcis-26857	45	23	and	and	CCONJ
fcis-26857	45	24	guarantee	guarantee	NOUN
fcis-26857	45	25	for	for	ADP
fcis-26857	45	26	precipitation	precipitation	NOUN
fcis-26857	45	27	prediction	prediction	NOUN
fcis-26857	45	28	.	.	PUNCT
fcis-26857	46	1	however	however	ADV
fcis-26857	46	2	,	,	PUNCT
fcis-26857	46	3	it	it	PRON
fcis-26857	46	4	is	be	AUX
fcis-26857	46	5	often	often	ADV
fcis-26857	46	6	difficult	difficult	ADJ
fcis-26857	46	7	to	to	PART
fcis-26857	46	8	obtain	obtain	VERB
fcis-26857	46	9	highprecision	highprecision	NOUN
fcis-26857	46	10	prediction	prediction	NOUN
fcis-26857	46	11	results	result	NOUN
fcis-26857	46	12	only	only	ADV
fcis-26857	46	13	by	by	ADP
fcis-26857	46	14	relying	rely	VERB
fcis-26857	46	15	on	on	ADP
fcis-26857	46	16	statistical	statistical	ADJ
fcis-26857	46	17	methods	method	NOUN
fcis-26857	46	18	,	,	PUNCT
fcis-26857	46	19	such	such	ADJ
fcis-26857	46	20	as	as	ADP
fcis-26857	46	21	solving	solve	VERB
fcis-26857	46	22	low	low	ADJ
fcis-26857	46	23	-	-	PUNCT
fcis-26857	46	24	dimensional	dimensional	ADJ
fcis-26857	46	25	and	and	CCONJ
fcis-26857	46	26	linear	linear	ADJ
fcis-26857	46	27	problems	problem	NOUN
fcis-26857	46	28	only	only	ADV
fcis-26857	46	29	with	with	ADP
fcis-26857	46	30	basic	basic	ADJ
fcis-26857	46	31	theories	theory	NOUN
fcis-26857	46	32	.	.	PUNCT
fcis-26857	47	1	therefore	therefore	ADV
fcis-26857	47	2	,	,	PUNCT
fcis-26857	47	3	many	many	ADJ
fcis-26857	47	4	scholars	scholar	NOUN
fcis-26857	47	5	have	have	AUX
fcis-26857	47	6	proposed	propose	VERB
fcis-26857	47	7	various	various	ADJ
fcis-26857	47	8	new	new	ADJ
fcis-26857	47	9	prediction	prediction	NOUN
fcis-26857	47	10	methods	method	NOUN
fcis-26857	47	11	,	,	PUNCT
fcis-26857	47	12	such	such	ADJ
fcis-26857	47	13	as	as	ADP
fcis-26857	47	14	fuzzy	fuzzy	ADJ
fcis-26857	47	15	theory	theory	NOUN
fcis-26857	47	16	,	,	PUNCT
fcis-26857	47	17	grey	grey	ADJ
fcis-26857	47	18	prediction	prediction	NOUN
fcis-26857	47	19	system	system	NOUN
fcis-26857	47	20	,	,	PUNCT
fcis-26857	47	21	chaotic	chaotic	ADJ
fcis-26857	47	22	prediction	prediction	NOUN
fcis-26857	47	23	system	system	NOUN
fcis-26857	47	24	,	,	PUNCT
fcis-26857	47	25	machine	machine	NOUN
fcis-26857	47	26	learning	learning	NOUN
fcis-26857	47	27	and	and	CCONJ
fcis-26857	47	28	deep	deep	ADJ
fcis-26857	47	29	learning	learning	NOUN
fcis-26857	47	30	.	.	PUNCT
fcis-26857	48	1	based	base	VERB
fcis-26857	48	2	on	on	ADP
fcis-26857	48	3	these	these	DET
fcis-26857	48	4	models	model	NOUN
fcis-26857	48	5	and	and	CCONJ
fcis-26857	48	6	theoretical	theoretical	ADJ
fcis-26857	48	7	methods	method	NOUN
fcis-26857	48	8	,	,	PUNCT
fcis-26857	48	9	new	new	ADJ
fcis-26857	48	10	paths	path	NOUN
fcis-26857	48	11	are	be	AUX
fcis-26857	48	12	provided	provide	VERB
fcis-26857	48	13	for	for	ADP
fcis-26857	48	14	predicting	predict	VERB
fcis-26857	48	15	precipitation	precipitation	NOUN
fcis-26857	48	16	in	in	ADP
fcis-26857	48	17	the	the	DET
fcis-26857	48	18	future	future	NOUN
fcis-26857	48	19	.	.	PUNCT
fcis-26857	49	1	the	the	DET
fcis-26857	49	2	prediction	prediction	NOUN
fcis-26857	49	3	of	of	ADP
fcis-26857	49	4	precipitation	precipitation	NOUN
fcis-26857	49	5	in	in	ADP
fcis-26857	49	6	weather	weather	NOUN
fcis-26857	49	7	meteorology	meteorology	NOUN
fcis-26857	49	8	involves	involve	VERB
fcis-26857	49	9	knowledge	knowledge	NOUN
fcis-26857	49	10	from	from	ADP
fcis-26857	49	11	several	several	ADJ
fcis-26857	49	12	subject	subject	ADJ
fcis-26857	49	13	areas	area	NOUN
fcis-26857	49	14	and	and	CCONJ
fcis-26857	49	15	requires	require	VERB
fcis-26857	49	16	a	a	DET
fcis-26857	49	17	combination	combination	NOUN
fcis-26857	49	18	of	of	ADP
fcis-26857	49	19	factors	factor	NOUN
fcis-26857	49	20	.	.	PUNCT
fcis-26857	50	1	such	such	ADJ
fcis-26857	50	2	as	as	ADP
fcis-26857	50	3	geographic	geographic	ADJ
fcis-26857	50	4	location	location	NOUN
fcis-26857	50	5	,	,	PUNCT
fcis-26857	50	6	precipitation	precipitation	NOUN
fcis-26857	50	7	cyclicity	cyclicity	NOUN
fcis-26857	50	8	,	,	PUNCT
fcis-26857	50	9	local	local	ADJ
fcis-26857	50	10	hydrological	hydrological	ADJ
fcis-26857	50	11	conditions	condition	NOUN
fcis-26857	50	12	and	and	CCONJ
fcis-26857	50	13	sudden	sudden	ADJ
fcis-26857	50	14	weather	weather	NOUN
fcis-26857	50	15	changes	change	NOUN
fcis-26857	50	16	.	.	PUNCT
fcis-26857	51	1	for	for	ADP
fcis-26857	51	2	this	this	DET
fcis-26857	51	3	reason	reason	NOUN
fcis-26857	51	4	,	,	PUNCT
fcis-26857	51	5	more	more	ADJ
fcis-26857	51	6	meteorologists	meteorologist	NOUN
fcis-26857	51	7	,	,	PUNCT
fcis-26857	51	8	by	by	ADP
fcis-26857	51	9	combining	combine	VERB
fcis-26857	51	10	the	the	DET
fcis-26857	51	11	evolving	evolve	VERB
fcis-26857	51	12	computer	computer	NOUN
fcis-26857	51	13	technology	technology	NOUN
fcis-26857	51	14	with	with	ADP
fcis-26857	51	15	other	other	ADJ
fcis-26857	51	16	disciplines	discipline	NOUN
fcis-26857	51	17	,	,	PUNCT
fcis-26857	51	18	we	we	PRON
fcis-26857	51	19	have	have	AUX
fcis-26857	51	20	proposed	propose	VERB
fcis-26857	51	21	many	many	ADJ
fcis-26857	51	22	new	new	ADJ
fcis-26857	51	23	methods	method	NOUN
fcis-26857	51	24	based	base	VERB
fcis-26857	51	25	on	on	ADP
fcis-26857	51	26	computer	computer	NOUN
fcis-26857	51	27	technology	technology	NOUN
fcis-26857	51	28	and	and	CCONJ
fcis-26857	51	29	statistics	statistic	NOUN
fcis-26857	51	30	.	.	PUNCT
fcis-26857	52	1	since	since	SCONJ
fcis-26857	52	2	the	the	DET
fcis-26857	52	3	late	late	ADJ
fcis-26857	52	4	1960s	1960	NOUN
fcis-26857	52	5	,	,	PUNCT
fcis-26857	52	6	scholars	scholar	NOUN
fcis-26857	52	7	based	base	VERB
fcis-26857	52	8	in	in	ADP
fcis-26857	52	9	this	this	DET
fcis-26857	52	10	field	field	NOUN
fcis-26857	52	11	have	have	AUX
fcis-26857	52	12	started	start	VERB
fcis-26857	52	13	to	to	PART
fcis-26857	52	14	apply	apply	VERB
fcis-26857	52	15	many	many	ADJ
fcis-26857	52	16	methods	method	NOUN
fcis-26857	52	17	from	from	ADP
fcis-26857	52	18	operations	operation	NOUN
fcis-26857	52	19	research	research	NOUN
fcis-26857	52	20	,	,	PUNCT
fcis-26857	52	21	applied	apply	VERB
fcis-26857	52	22	mathematics	mathematic	NOUN
fcis-26857	52	23	and	and	CCONJ
fcis-26857	52	24	statistics	statistic	NOUN
fcis-26857	52	25	to	to	ADP
fcis-26857	52	26	precipitation	precipitation	NOUN
fcis-26857	52	27	in	in	ADP
fcis-26857	52	28	various	various	ADJ
fcis-26857	52	29	places	place	NOUN
fcis-26857	52	30	,	,	PUNCT
fcis-26857	52	31	listed	list	VERB
fcis-26857	52	32	as	as	ADP
fcis-26857	52	33	araim	araim	NOUN
fcis-26857	52	34	model	model	NOUN
fcis-26857	52	35	,	,	PUNCT
fcis-26857	52	36	svm	svm	ADJ
fcis-26857	52	37	model	model	NOUN
fcis-26857	52	38	and	and	CCONJ
fcis-26857	52	39	lstm	lstm	PROPN
fcis-26857	52	40	model	model	NOUN
fcis-26857	52	41	.	.	PUNCT
fcis-26857	53	1	the	the	DET
fcis-26857	53	2	prediction	prediction	NOUN
fcis-26857	53	3	of	of	ADP
fcis-26857	53	4	precipitation	precipitation	NOUN
fcis-26857	53	5	is	be	AUX
fcis-26857	53	6	often	often	ADV
fcis-26857	53	7	heavily	heavily	ADV
fcis-26857	53	8	constrained	constrain	VERB
fcis-26857	53	9	by	by	ADP
fcis-26857	53	10	factors	factor	NOUN
fcis-26857	53	11	from	from	ADP
fcis-26857	53	12	many	many	ADJ
fcis-26857	53	13	sources	source	NOUN
fcis-26857	53	14	.	.	PUNCT
fcis-26857	54	1	for	for	ADP
fcis-26857	54	2	example	example	NOUN
fcis-26857	54	3	,	,	PUNCT
fcis-26857	54	4	changes	change	NOUN
fcis-26857	54	5	in	in	ADP
fcis-26857	54	6	atmospheric	atmospheric	ADJ
fcis-26857	54	7	circulation	circulation	NOUN
fcis-26857	54	8	,	,	PUNCT
fcis-26857	54	9	differences	difference	NOUN
fcis-26857	54	10	in	in	ADP
fcis-26857	54	11	topography	topography	NOUN
fcis-26857	54	12	and	and	CCONJ
fcis-26857	54	13	geomorphology	geomorphology	NOUN
fcis-26857	54	14	,	,	PUNCT
fcis-26857	54	15	differences	difference	NOUN
fcis-26857	54	16	in	in	ADP
fcis-26857	54	17	the	the	DET
fcis-26857	54	18	location	location	NOUN
fcis-26857	54	19	of	of	ADP
fcis-26857	54	20	land	land	NOUN
fcis-26857	54	21	and	and	CCONJ
fcis-26857	54	22	sea	sea	NOUN
fcis-26857	54	23	,	,	PUNCT
fcis-26857	54	24	and	and	CCONJ
fcis-26857	54	25	the	the	DET
fcis-26857	54	26	impact	impact	NOUN
fcis-26857	54	27	of	of	ADP
fcis-26857	54	28	human	human	ADJ
fcis-26857	54	29	activities	activity	NOUN
fcis-26857	54	30	and	and	CCONJ
fcis-26857	54	31	so	so	ADV
fcis-26857	54	32	on	on	ADV
fcis-26857	54	33	.	.	PUNCT
fcis-26857	55	1	the	the	DET
fcis-26857	55	2	changes	change	NOUN
fcis-26857	55	3	of	of	ADP
fcis-26857	55	4	these	these	DET
fcis-26857	55	5	factors	factor	NOUN
fcis-26857	55	6	usually	usually	ADV
fcis-26857	55	7	have	have	VERB
fcis-26857	55	8	obvious	obvious	ADJ
fcis-26857	55	9	instability	instability	NOUN
fcis-26857	55	10	,	,	PUNCT
fcis-26857	55	11	and	and	CCONJ
fcis-26857	55	12	the	the	DET
fcis-26857	55	13	rule	rule	NOUN
fcis-26857	55	14	of	of	ADP
fcis-26857	55	15	change	change	NOUN
fcis-26857	55	16	is	be	AUX
fcis-26857	55	17	difficult	difficult	ADJ
fcis-26857	55	18	to	to	PART
fcis-26857	55	19	accurately	accurately	ADV
fcis-26857	55	20	grasp	grasp	VERB
fcis-26857	55	21	.	.	PUNCT
fcis-26857	56	1	this	this	DET
fcis-26857	56	2	instability	instability	NOUN
fcis-26857	56	3	is	be	AUX
fcis-26857	56	4	likely	likely	ADJ
fcis-26857	56	5	to	to	PART
fcis-26857	56	6	lead	lead	VERB
fcis-26857	56	7	to	to	ADP
fcis-26857	56	8	significant	significant	ADJ
fcis-26857	56	9	deviations	deviation	NOUN
fcis-26857	56	10	in	in	ADP
fcis-26857	56	11	the	the	DET
fcis-26857	56	12	predictions	prediction	NOUN
fcis-26857	56	13	made	make	VERB
fcis-26857	56	14	by	by	ADP
fcis-26857	56	15	the	the	DET
fcis-26857	56	16	relevant	relevant	ADJ
fcis-26857	56	17	models	model	NOUN
fcis-26857	56	18	,	,	PUNCT
fcis-26857	56	19	thus	thus	ADV
fcis-26857	56	20	affecting	affect	VERB
fcis-26857	56	21	the	the	DET
fcis-26857	56	22	judgement	judgement	NOUN
fcis-26857	56	23	of	of	ADP
fcis-26857	56	24	the	the	DET
fcis-26857	56	25	precipitation	precipitation	NOUN
fcis-26857	56	26	situation	situation	NOUN
fcis-26857	56	27	and	and	CCONJ
fcis-26857	56	28	the	the	DET
fcis-26857	56	29	formulation	formulation	NOUN
fcis-26857	56	30	of	of	ADP
fcis-26857	56	31	response	response	NOUN
fcis-26857	56	32	strategies	strategy	NOUN
fcis-26857	56	33	.	.	PUNCT
fcis-26857	57	1	in	in	ADP
fcis-26857	57	2	order	order	NOUN
fcis-26857	57	3	to	to	PART
fcis-26857	57	4	minimise	minimise	VERB
fcis-26857	57	5	the	the	DET
fcis-26857	57	6	serious	serious	ADJ
fcis-26857	57	7	damage	damage	NOUN
fcis-26857	57	8	caused	cause	VERB
fcis-26857	57	9	by	by	ADP
fcis-26857	57	10	meteorological	meteorological	ADJ
fcis-26857	57	11	disasters	disaster	NOUN
fcis-26857	57	12	,	,	PUNCT
fcis-26857	57	13	we	we	PRON
fcis-26857	57	14	must	must	AUX
fcis-26857	57	15	make	make	VERB
fcis-26857	57	16	effective	effective	ADJ
fcis-26857	57	17	use	use	NOUN
fcis-26857	57	18	of	of	ADP
fcis-26857	57	19	the	the	DET
fcis-26857	57	20	precious	precious	ADJ
fcis-26857	57	21	water	water	NOUN
fcis-26857	57	22	resources	resource	NOUN
fcis-26857	57	23	brought	bring	VERB
fcis-26857	57	24	about	about	ADP
fcis-26857	57	25	by	by	ADP
fcis-26857	57	26	precipitation	precipitation	NOUN
fcis-26857	57	27	.	.	PUNCT
fcis-26857	58	1	for	for	ADP
fcis-26857	58	2	example	example	NOUN
fcis-26857	58	3	,	,	PUNCT
fcis-26857	58	4	through	through	ADP
fcis-26857	58	5	the	the	DET
fcis-26857	58	6	construction	construction	NOUN
fcis-26857	58	7	of	of	ADP
fcis-26857	58	8	reasonable	reasonable	ADJ
fcis-26857	58	9	water	water	NOUN
fcis-26857	58	10	conservancy	conservancy	NOUN
fcis-26857	58	11	projects	project	NOUN
fcis-26857	58	12	and	and	CCONJ
fcis-26857	58	13	the	the	DET
fcis-26857	58	14	deployment	deployment	NOUN
fcis-26857	58	15	of	of	ADP
fcis-26857	58	16	water	water	NOUN
fcis-26857	58	17	resources	resource	NOUN
fcis-26857	58	18	,	,	PUNCT
fcis-26857	58	19	we	we	PRON
fcis-26857	58	20	can	can	AUX
fcis-26857	58	21	meet	meet	VERB
fcis-26857	58	22	the	the	DET
fcis-26857	58	23	demand	demand	NOUN
fcis-26857	58	24	for	for	ADP
fcis-26857	58	25	water	water	NOUN
fcis-26857	58	26	for	for	ADP
fcis-26857	58	27	agricultural	agricultural	ADJ
fcis-26857	58	28	irrigation	irrigation	NOUN
fcis-26857	58	29	,	,	PUNCT
fcis-26857	58	30	industrial	industrial	ADJ
fcis-26857	58	31	production	production	NOUN
fcis-26857	58	32	and	and	CCONJ
fcis-26857	58	33	residential	residential	ADJ
fcis-26857	58	34	use	use	NOUN
fcis-26857	58	35	.	.	PUNCT
fcis-26857	59	1	therefore	therefore	ADV
fcis-26857	59	2	,	,	PUNCT
fcis-26857	59	3	this	this	DET
fcis-26857	59	4	paper	paper	NOUN
fcis-26857	59	5	will	will	AUX
fcis-26857	59	6	improve	improve	VERB
fcis-26857	59	7	the	the	DET
fcis-26857	59	8	accuracy	accuracy	NOUN
fcis-26857	59	9	of	of	ADP
fcis-26857	59	10	precipitation	precipitation	NOUN
fcis-26857	59	11	prediction	prediction	NOUN
fcis-26857	59	12	based	base	VERB
fcis-26857	59	13	on	on	ADP
fcis-26857	59	14	machine	machine	NOUN
fcis-26857	59	15	learning	learning	NOUN
fcis-26857	59	16	as	as	ADV
fcis-26857	59	17	well	well	ADV
fcis-26857	59	18	as	as	ADP
fcis-26857	59	19	statistical	statistical	ADJ
fcis-26857	59	20	and	and	CCONJ
fcis-26857	59	21	forecasting	forecasting	NOUN
fcis-26857	59	22	tools	tool	NOUN
fcis-26857	59	23	of	of	ADP
fcis-26857	59	24	big	big	ADJ
fcis-26857	59	25	data	datum	NOUN
fcis-26857	59	26	for	for	ADP
fcis-26857	59	27	the	the	DET
fcis-26857	59	28	precipitation	precipitation	NOUN
fcis-26857	59	29	condition	condition	NOUN
fcis-26857	59	30	in	in	ADP
fcis-26857	59	31	suqian	suqian	PROPN
fcis-26857	59	32	city	city	PROPN
fcis-26857	59	33	,	,	PUNCT
fcis-26857	59	34	jiangsu	jiangsu	PROPN
fcis-26857	59	35	province	province	PROPN
fcis-26857	59	36	.	.	PUNCT
fcis-26857	60	1	2.4	2.4	NUM
fcis-26857	60	2	.	.	PUNCT
fcis-26857	61	1	content	content	NOUN
fcis-26857	61	2	of	of	ADP
fcis-26857	61	3	this	this	DET
fcis-26857	61	4	paper	paper	NOUN
fcis-26857	61	5	the	the	DET
fcis-26857	61	6	aim	aim	NOUN
fcis-26857	61	7	of	of	ADP
fcis-26857	61	8	this	this	DET
fcis-26857	61	9	paper	paper	NOUN
fcis-26857	61	10	is	be	AUX
fcis-26857	61	11	to	to	PART
fcis-26857	61	12	study	study	VERB
fcis-26857	61	13	the	the	DET
fcis-26857	61	14	monthly	monthly	ADJ
fcis-26857	61	15	precipitation	precipitation	NOUN
fcis-26857	61	16	forecasts	forecast	NOUN
fcis-26857	61	17	for	for	ADP
fcis-26857	61	18	suqian	suqian	PROPN
fcis-26857	61	19	city	city	PROPN
fcis-26857	61	20	,	,	PUNCT
fcis-26857	61	21	jiangsu	jiangsu	PROPN
fcis-26857	61	22	province	province	PROPN
fcis-26857	61	23	,	,	PUNCT
fcis-26857	61	24	eastern	eastern	PROPN
fcis-26857	61	25	china	china	PROPN
fcis-26857	61	26	.	.	PUNCT
fcis-26857	62	1	this	this	DET
fcis-26857	62	2	region	region	NOUN
fcis-26857	62	3	is	be	AUX
fcis-26857	62	4	geographically	geographically	ADV
fcis-26857	62	5	unique	unique	ADJ
fcis-26857	62	6	and	and	CCONJ
fcis-26857	62	7	is	be	AUX
fcis-26857	62	8	subject	subject	ADJ
fcis-26857	62	9	to	to	ADP
fcis-26857	62	10	significant	significant	ADJ
fcis-26857	62	11	cyclical	cyclical	ADJ
fcis-26857	62	12	differences	difference	NOUN
fcis-26857	62	13	in	in	ADP
fcis-26857	62	14	the	the	DET
fcis-26857	62	15	evolutionary	evolutionary	ADJ
fcis-26857	62	16	characteristics	characteristic	NOUN
fcis-26857	62	17	of	of	ADP
fcis-26857	62	18	the	the	DET
fcis-26857	62	19	rain	rain	NOUN
fcis-26857	62	20	belt	belt	NOUN
fcis-26857	62	21	and	and	CCONJ
fcis-26857	62	22	the	the	DET
fcis-26857	62	23	northward	northward	ADJ
fcis-26857	62	24	push	push	NOUN
fcis-26857	62	25	process	process	NOUN
fcis-26857	62	26	of	of	ADP
fcis-26857	62	27	the	the	DET
fcis-26857	62	28	climate	climate	NOUN
fcis-26857	62	29	-	-	PUNCT
fcis-26857	62	30	averaged	average	VERB
fcis-26857	62	31	monsoon	monsoon	NOUN
fcis-26857	62	32	in	in	ADP
fcis-26857	62	33	eastern	eastern	PROPN
fcis-26857	62	34	china	china	PROPN
fcis-26857	62	35	.	.	PUNCT
fcis-26857	63	1	specifically	specifically	ADV
fcis-26857	63	2	,	,	PUNCT
fcis-26857	63	3	the	the	DET
fcis-26857	63	4	centre	centre	NOUN
fcis-26857	63	5	of	of	ADP
fcis-26857	63	6	precipitation	precipitation	NOUN
fcis-26857	63	7	anomalies	anomaly	NOUN
fcis-26857	63	8	is	be	AUX
fcis-26857	63	9	located	locate	VERB
fcis-26857	63	10	in	in	ADP
fcis-26857	63	11	the	the	DET
fcis-26857	63	12	jianghuai	jianghuai	PROPN
fcis-26857	63	13	-	-	PUNCT
fcis-26857	63	14	north	north	PROPN
fcis-26857	63	15	china	china	PROPN
fcis-26857	63	16	region	region	NOUN
fcis-26857	63	17	in	in	ADP
fcis-26857	63	18	july	july	PROPN
fcis-26857	63	19	,	,	PUNCT
fcis-26857	63	20	while	while	SCONJ
fcis-26857	63	21	it	it	PRON
fcis-26857	63	22	moves	move	VERB
fcis-26857	63	23	southward	southward	ADV
fcis-26857	63	24	to	to	ADP
fcis-26857	63	25	central	central	ADJ
fcis-26857	63	26	china	china	PROPN
fcis-26857	63	27	in	in	ADP
fcis-26857	63	28	august	august	PROPN
fcis-26857	63	29	.	.	PUNCT
fcis-26857	64	1	this	this	DET
fcis-26857	64	2	phenomenon	phenomenon	NOUN
fcis-26857	64	3	of	of	ADP
fcis-26857	64	4	anomalously	anomalously	ADV
fcis-26857	64	5	high	high	ADJ
fcis-26857	64	6	precipitation	precipitation	NOUN
fcis-26857	64	7	in	in	ADP
fcis-26857	64	8	the	the	DET
fcis-26857	64	9	eastern	eastern	ADJ
fcis-26857	64	10	region	region	NOUN
fcis-26857	64	11	with	with	ADP
fcis-26857	64	12	inter	inter	ADJ
fcis-26857	64	13	-	-	ADJ
fcis-26857	64	14	monthly	monthly	ADJ
fcis-26857	64	15	differences	difference	NOUN
fcis-26857	64	16	is	be	AUX
fcis-26857	64	17	mainly	mainly	ADV
fcis-26857	64	18	affected	affect	VERB
fcis-26857	64	19	by	by	ADP
fcis-26857	64	20	the	the	DET
fcis-26857	64	21	north	north	NOUN
fcis-26857	64	22	-	-	PUNCT
fcis-26857	64	23	east	east	NOUN
fcis-26857	64	24	(	(	PUNCT
fcis-26857	64	25	south	south	NOUN
fcis-26857	64	26	-	-	PUNCT
fcis-26857	64	27	west	west	ADJ
fcis-26857	64	28	)	)	PUNCT
fcis-26857	64	29	deviation	deviation	NOUN
fcis-26857	64	30	of	of	ADP
fcis-26857	64	31	the	the	DET
fcis-26857	64	32	subtropical	subtropical	ADJ
fcis-26857	64	33	high	high	ADJ
fcis-26857	64	34	pressure	pressure	NOUN
fcis-26857	64	35	in	in	ADP
fcis-26857	64	36	the	the	DET
fcis-26857	64	37	northwestern	northwestern	ADJ
fcis-26857	64	38	pacific	pacific	PROPN
fcis-26857	64	39	ocean	ocean	PROPN
fcis-26857	64	40	(	(	PUNCT
fcis-26857	64	41	western	western	PROPN
fcis-26857	64	42	pacific	pacific	ADJ
fcis-26857	64	43	sub	sub	ADJ
fcis-26857	64	44	-	-	ADJ
fcis-26857	64	45	high	high	ADJ
fcis-26857	64	46	)	)	PUNCT
fcis-26857	64	47	,	,	PUNCT
fcis-26857	64	48	the	the	DET
fcis-26857	64	49	north	north	NOUN
fcis-26857	64	50	(	(	PUNCT
fcis-26857	64	51	south	south	ADJ
fcis-26857	64	52	)	)	PUNCT
fcis-26857	64	53	deviation	deviation	NOUN
fcis-26857	64	54	of	of	ADP
fcis-26857	64	55	the	the	DET
fcis-26857	64	56	subtropical	subtropical	ADJ
fcis-26857	64	57	westerly	westerly	PROPN
fcis-26857	64	58	rapids	rapid	NOUN
fcis-26857	64	59	in	in	ADP
fcis-26857	64	60	east	east	PROPN
fcis-26857	64	61	asia	asia	PROPN
fcis-26857	64	62	,	,	PUNCT
fcis-26857	64	63	and	and	CCONJ
fcis-26857	64	64	the	the	DET
fcis-26857	64	65	persistent	persistent	ADJ
fcis-26857	64	66	eastward	eastward	ADJ
fcis-26857	64	67	extension	extension	NOUN
fcis-26857	64	68	of	of	ADP
fcis-26857	64	69	the	the	DET
fcis-26857	64	70	high	high	ADJ
fcis-26857	64	71	pressure	pressure	NOUN
fcis-26857	64	72	in	in	ADP
fcis-26857	64	73	south	south	PROPN
fcis-26857	64	74	asia	asia	PROPN
fcis-26857	64	75	in	in	ADP
fcis-26857	64	76	july	july	PROPN
fcis-26857	64	77	(	(	PUNCT
fcis-26857	64	78	august	august	PROPN
fcis-26857	64	79	)	)	PUNCT
fcis-26857	64	80	,	,	PUNCT
fcis-26857	64	81	etc.[4	etc.[4	PROPN
fcis-26857	64	82	]	]	PUNCT
fcis-26857	64	83	.	.	PUNCT
fcis-26857	65	1	as	as	SCONJ
fcis-26857	65	2	can	can	AUX
fcis-26857	65	3	be	be	AUX
fcis-26857	65	4	seen	see	VERB
fcis-26857	65	5	from	from	ADP
fcis-26857	65	6	fig	fig	NOUN
fcis-26857	65	7	.	.	PUNCT
fcis-26857	66	1	1	1	NUM
fcis-26857	66	2	,	,	PUNCT
fcis-26857	66	3	summer	summer	NOUN
fcis-26857	66	4	july	july	PROPN
fcis-26857	66	5	precipitation	precipitation	NOUN
fcis-26857	66	6	in	in	ADP
fcis-26857	66	7	eastern	eastern	ADJ
fcis-26857	66	8	china	china	PROPN
fcis-26857	66	9	is	be	AUX
fcis-26857	66	10	mainly	mainly	ADV
fcis-26857	66	11	concentrated	concentrate	VERB
fcis-26857	66	12	in	in	ADP
fcis-26857	66	13	the	the	DET
fcis-26857	66	14	jianghuai	jianghuai	PROPN
fcis-26857	66	15	basin	basin	NOUN
fcis-26857	66	16	.	.	PUNCT
fcis-26857	67	1	from	from	ADP
fcis-26857	67	2	fig	fig	NOUN
fcis-26857	67	3	.	.	PUNCT
fcis-26857	68	1	2	2	NUM
fcis-26857	68	2	,	,	PUNCT
fcis-26857	68	3	it	it	PRON
fcis-26857	68	4	can	can	AUX
fcis-26857	68	5	be	be	AUX
fcis-26857	68	6	seen	see	VERB
fcis-26857	68	7	that	that	SCONJ
fcis-26857	68	8	the	the	DET
fcis-26857	68	9	precipitation	precipitation	NOUN
fcis-26857	68	10	changes	change	VERB
fcis-26857	68	11	in	in	ADP
fcis-26857	68	12	suqian	suqian	ADJ
fcis-26857	68	13	city	city	NOUN
fcis-26857	68	14	also	also	ADV
fcis-26857	68	15	show	show	VERB
fcis-26857	68	16	this	this	DET
fcis-26857	68	17	trend	trend	NOUN
fcis-26857	68	18	.	.	PUNCT
fcis-26857	69	1	precipitation	precipitation	NOUN
fcis-26857	69	2	in	in	ADP
fcis-26857	69	3	suqian	suqian	ADJ
fcis-26857	69	4	city	city	NOUN
fcis-26857	69	5	is	be	AUX
fcis-26857	69	6	concentrated	concentrate	VERB
fcis-26857	69	7	in	in	ADP
fcis-26857	69	8	june	june	PROPN
fcis-26857	69	9	-	-	PUNCT
fcis-26857	69	10	august	august	PROPN
fcis-26857	69	11	,	,	PUNCT
fcis-26857	69	12	and	and	CCONJ
fcis-26857	69	13	excessive	excessive	ADJ
fcis-26857	69	14	rainfall	rainfall	NOUN
fcis-26857	69	15	and	and	CCONJ
fcis-26857	69	16	concentration	concentration	NOUN
fcis-26857	69	17	in	in	ADP
fcis-26857	69	18	a	a	DET
fcis-26857	69	19	short	short	ADJ
fcis-26857	69	20	period	period	NOUN
fcis-26857	69	21	of	of	ADP
fcis-26857	69	22	time	time	NOUN
fcis-26857	69	23	are	be	AUX
fcis-26857	69	24	likely	likely	ADJ
fcis-26857	69	25	to	to	PART
fcis-26857	69	26	cause	cause	VERB
fcis-26857	69	27	problems	problem	NOUN
fcis-26857	69	28	such	such	ADJ
fcis-26857	69	29	as	as	ADP
fcis-26857	69	30	flooding	flooding	NOUN
fcis-26857	69	31	and	and	CCONJ
fcis-26857	69	32	urban	urban	ADJ
fcis-26857	69	33	waterlogging	waterlogging	NOUN
fcis-26857	69	34	.	.	PUNCT
fcis-26857	70	1	therefore	therefore	ADV
fcis-26857	70	2	,	,	PUNCT
fcis-26857	70	3	timely	timely	ADJ
fcis-26857	70	4	prediction	prediction	NOUN
fcis-26857	70	5	of	of	ADP
fcis-26857	70	6	precipitation	precipitation	NOUN
fcis-26857	70	7	is	be	AUX
fcis-26857	70	8	crucial	crucial	ADJ
fcis-26857	70	9	for	for	SCONJ
fcis-26857	70	10	the	the	DET
fcis-26857	70	11	relevant	relevant	ADJ
fcis-26857	70	12	departments	department	NOUN
fcis-26857	70	13	to	to	PART
fcis-26857	70	14	provide	provide	VERB
fcis-26857	70	15	precipitation	precipitation	NOUN
fcis-26857	70	16	information	information	NOUN
fcis-26857	70	17	to	to	PART
fcis-26857	70	18	help	help	VERB
fcis-26857	70	19	agriculture	agriculture	NOUN
fcis-26857	70	20	,	,	PUNCT
fcis-26857	70	21	water	water	NOUN
fcis-26857	70	22	conservancy	conservancy	NOUN
fcis-26857	70	23	and	and	CCONJ
fcis-26857	70	24	other	other	ADJ
fcis-26857	70	25	departments	department	NOUN
fcis-26857	70	26	to	to	PART
fcis-26857	70	27	take	take	VERB
fcis-26857	70	28	timely	timely	ADJ
fcis-26857	70	29	measures	measure	NOUN
fcis-26857	70	30	to	to	PART
fcis-26857	70	31	prevent	prevent	VERB
fcis-26857	70	32	floods	flood	NOUN
fcis-26857	70	33	and	and	CCONJ
fcis-26857	70	34	droughts	drought	NOUN
fcis-26857	70	35	,	,	PUNCT
fcis-26857	70	36	and	and	CCONJ
fcis-26857	70	37	to	to	PART
fcis-26857	70	38	minimise	minimise	VERB
fcis-26857	70	39	the	the	DET
fcis-26857	70	40	disaster	disaster	NOUN
fcis-26857	70	41	losses	loss	NOUN
fcis-26857	70	42	caused	cause	VERB
fcis-26857	70	43	by	by	ADP
fcis-26857	70	44	climate	climate	NOUN
fcis-26857	70	45	change[5	change[5	PROPN
fcis-26857	70	46	]	]	X
fcis-26857	70	47	the	the	DET
fcis-26857	70	48	following	follow	VERB
fcis-26857	70	49	is	be	AUX
fcis-26857	70	50	a	a	DET
fcis-26857	70	51	summary	summary	NOUN
fcis-26857	70	52	of	of	ADP
fcis-26857	70	53	the	the	DET
fcis-26857	70	54	results	result	NOUN
fcis-26857	70	55	of	of	ADP
fcis-26857	70	56	this	this	DET
fcis-26857	70	57	study	study	NOUN
fcis-26857	70	58	.	.	PUNCT
fcis-26857	71	1	8	8	NUM
fcis-26857	71	2	fig	fig	NOUN
fcis-26857	71	3	1	1	NUM
fcis-26857	71	4	.	.	PUNCT
fcis-26857	71	5	eastern	eastern	ADJ
fcis-26857	71	6	2021	2021	NUM
fcis-26857	71	7	july	july	PROPN
fcis-26857	71	8	-	-	PUNCT
fcis-26857	71	9	august	august	PROPN
fcis-26857	71	10	precipitation	precipitation	NOUN
fcis-26857	71	11	schematic[4	schematic[4	NUM
fcis-26857	71	12	]	]	X
fcis-26857	71	13	fig	fig	NOUN
fcis-26857	71	14	2	2	NUM
fcis-26857	71	15	.	.	PUNCT
fcis-26857	71	16	schematic	schematic	ADJ
fcis-26857	71	17	diagram	diagram	NOUN
fcis-26857	71	18	of	of	ADP
fcis-26857	71	19	precipitation	precipitation	NOUN
fcis-26857	71	20	totals	total	NOUN
fcis-26857	71	21	for	for	ADP
fcis-26857	71	22	suqian	suqian	ADJ
fcis-26857	71	23	city	city	NOUN
fcis-26857	71	24	,	,	PUNCT
fcis-26857	71	25	2019	2019	NUM
fcis-26857	71	26	-	-	SYM
fcis-26857	71	27	2023	2023	NUM
fcis-26857	71	28	in	in	ADP
fcis-26857	71	29	this	this	DET
fcis-26857	71	30	paper	paper	NOUN
fcis-26857	71	31	,	,	PUNCT
fcis-26857	71	32	the	the	DET
fcis-26857	71	33	long	long	ADJ
fcis-26857	71	34	and	and	CCONJ
fcis-26857	71	35	short	short	ADJ
fcis-26857	71	36	-	-	PUNCT
fcis-26857	71	37	term	term	NOUN
fcis-26857	71	38	memory	memory	NOUN
fcis-26857	71	39	neural	neural	ADJ
fcis-26857	71	40	network	network	NOUN
fcis-26857	71	41	model	model	NOUN
fcis-26857	71	42	based	base	VERB
fcis-26857	71	43	on	on	ADP
fcis-26857	71	44	the	the	DET
fcis-26857	71	45	grey	grey	PROPN
fcis-26857	71	46	wolf	wolf	PROPN
fcis-26857	71	47	optimisation	optimisation	NOUN
fcis-26857	71	48	algorithm	algorithm	NOUN
fcis-26857	71	49	is	be	AUX
fcis-26857	71	50	used	use	VERB
fcis-26857	71	51	to	to	PART
fcis-26857	71	52	train	train	VERB
fcis-26857	71	53	the	the	DET
fcis-26857	71	54	model	model	NOUN
fcis-26857	71	55	on	on	ADP
fcis-26857	71	56	the	the	DET
fcis-26857	71	57	monthly	monthly	ADJ
fcis-26857	71	58	precipitation	precipitation	NOUN
fcis-26857	71	59	collected	collect	VERB
fcis-26857	71	60	during	during	ADP
fcis-26857	71	61	the	the	DET
fcis-26857	71	62	period	period	NOUN
fcis-26857	71	63	of	of	ADP
fcis-26857	71	64	2019	2019	NUM
fcis-26857	71	65	-	-	SYM
fcis-26857	71	66	2022	2022	NUM
fcis-26857	71	67	and	and	CCONJ
fcis-26857	71	68	to	to	PART
fcis-26857	71	69	predict	predict	VERB
fcis-26857	71	70	the	the	DET
fcis-26857	71	71	precipitation	precipitation	NOUN
fcis-26857	71	72	in	in	ADP
fcis-26857	71	73	suqian	suqian	NOUN
fcis-26857	71	74	in	in	ADP
fcis-26857	71	75	the	the	DET
fcis-26857	71	76	coming	come	VERB
fcis-26857	71	77	year	year	NOUN
fcis-26857	71	78	,	,	PUNCT
fcis-26857	71	79	so	so	SCONJ
fcis-26857	71	80	as	as	SCONJ
fcis-26857	71	81	to	to	PART
fcis-26857	71	82	provide	provide	VERB
fcis-26857	71	83	the	the	DET
fcis-26857	71	84	corresponding	corresponding	ADJ
fcis-26857	71	85	numerical	numerical	ADJ
fcis-26857	71	86	basis	basis	NOUN
fcis-26857	71	87	for	for	ADP
fcis-26857	71	88	the	the	DET
fcis-26857	71	89	relevant	relevant	ADJ
fcis-26857	71	90	departments	department	NOUN
fcis-26857	71	91	to	to	PART
fcis-26857	71	92	make	make	VERB
fcis-26857	71	93	strong	strong	ADJ
fcis-26857	71	94	protection	protection	NOUN
fcis-26857	71	95	measures	measure	NOUN
fcis-26857	71	96	against	against	ADP
fcis-26857	71	97	the	the	DET
fcis-26857	71	98	occurrence	occurrence	NOUN
fcis-26857	71	99	of	of	ADP
fcis-26857	71	100	different	different	ADJ
fcis-26857	71	101	natural	natural	ADJ
fcis-26857	71	102	disasters	disaster	NOUN
fcis-26857	71	103	,	,	PUNCT
fcis-26857	71	104	to	to	PART
fcis-26857	71	105	reduce	reduce	VERB
fcis-26857	71	106	the	the	DET
fcis-26857	71	107	people	people	NOUN
fcis-26857	71	108	's	's	PART
fcis-26857	71	109	economic	economic	ADJ
fcis-26857	71	110	losses	loss	NOUN
fcis-26857	71	111	,	,	PUNCT
fcis-26857	71	112	and	and	CCONJ
fcis-26857	71	113	to	to	PART
fcis-26857	71	114	promote	promote	VERB
fcis-26857	71	115	the	the	DET
fcis-26857	71	116	solid	solid	ADJ
fcis-26857	71	117	development	development	NOUN
fcis-26857	71	118	of	of	ADP
fcis-26857	71	119	the	the	DET
fcis-26857	71	120	economy.[5	economy.[5	NOUN
fcis-26857	71	121	]	]	X
fcis-26857	71	122	the	the	DET
fcis-26857	71	123	model	model	NOUN
fcis-26857	71	124	is	be	AUX
fcis-26857	71	125	trained	train	VERB
fcis-26857	71	126	to	to	PART
fcis-26857	71	127	predict	predict	VERB
fcis-26857	71	128	the	the	DET
fcis-26857	71	129	precipitation	precipitation	NOUN
fcis-26857	71	130	of	of	ADP
fcis-26857	71	131	suqian	suqian	NOUN
fcis-26857	71	132	in	in	ADP
fcis-26857	71	133	the	the	DET
fcis-26857	71	134	coming	come	VERB
fcis-26857	71	135	year	year	NOUN
fcis-26857	71	136	.	.	PUNCT
fcis-26857	72	1	3	3	X
fcis-26857	72	2	.	.	X
fcis-26857	72	3	modelling	model	VERB
fcis-26857	72	4	preparation	preparation	NOUN
fcis-26857	72	5	3.1	3.1	NUM
fcis-26857	72	6	.	.	PUNCT
fcis-26857	72	7	description	description	NOUN
fcis-26857	72	8	of	of	ADP
fcis-26857	72	9	symbols	symbol	NOUN
fcis-26857	72	10	3.2	3.2	NUM
fcis-26857	72	11	.	.	PUNCT
fcis-26857	73	1	data	datum	NOUN
fcis-26857	73	2	sources	source	NOUN
fcis-26857	73	3	the	the	DET
fcis-26857	73	4	current	current	ADJ
fcis-26857	73	5	data	datum	NOUN
fcis-26857	73	6	was	be	AUX
fcis-26857	73	7	obtained	obtain	VERB
fcis-26857	73	8	from	from	ADP
fcis-26857	73	9	the	the	DET
fcis-26857	73	10	xihe	xihe	PROPN
fcis-26857	73	11	energy	energy	NOUN
fcis-26857	73	12	meteorological	meteorological	ADJ
fcis-26857	73	13	big	big	ADJ
fcis-26857	73	14	data	datum	NOUN
fcis-26857	73	15	platform	platform	NOUN
fcis-26857	73	16	,	,	PUNCT
fcis-26857	73	17	and	and	CCONJ
fcis-26857	73	18	the	the	DET
fcis-26857	73	19	hourly	hourly	ADJ
fcis-26857	73	20	precipitation	precipitation	NOUN
fcis-26857	73	21	(	(	PUNCT
fcis-26857	73	22	)	)	PUNCT
fcis-26857	73	23	for	for	ADP
fcis-26857	73	24	2019	2019	NUM
fcis-26857	73	25	-	-	SYM
fcis-26857	73	26	2023	2023	NUM
fcis-26857	73	27	was	be	AUX
fcis-26857	73	28	obtained	obtain	VERB
fcis-26857	73	29	from	from	ADP
fcis-26857	73	30	the	the	DET
fcis-26857	73	31	local	local	ADJ
fcis-26857	73	32	detection	detection	NOUN
fcis-26857	73	33	station	station	NOUN
fcis-26857	73	34	in	in	ADP
fcis-26857	73	35	suqian	suqian	ADJ
fcis-26857	73	36	city	city	NOUN
fcis-26857	73	37	(	(	PUNCT
fcis-26857	73	38	33.9645	33.9645	NUM
fcis-26857	73	39	°	°	NOUN
fcis-26857	73	40	n	n	CCONJ
fcis-26857	73	41	,	,	PUNCT
fcis-26857	73	42	118.2697	118.2697	NUM
fcis-26857	73	43	°	°	NUM
fcis-26857	73	44	e	e	NOUN
fcis-26857	73	45	)	)	PUNCT
fcis-26857	73	46	.	.	PUNCT
fcis-26857	74	1	this	this	DET
fcis-26857	74	2	precipitation	precipitation	NOUN
fcis-26857	74	3	is	be	AUX
fcis-26857	74	4	the	the	DET
fcis-26857	74	5	depth	depth	NOUN
fcis-26857	74	6	to	to	PART
fcis-26857	74	7	which	which	PRON
fcis-26857	74	8	liquid	liquid	NOUN
fcis-26857	74	9	or	or	CCONJ
fcis-26857	74	10	solid	solid	ADJ
fcis-26857	74	11	(	(	PUNCT
fcis-26857	74	12	after	after	ADP
fcis-26857	74	13	melting	melt	VERB
fcis-26857	74	14	)	)	PUNCT
fcis-26857	74	15	precipitation	precipitation	NOUN
fcis-26857	74	16	falling	fall	VERB
fcis-26857	74	17	from	from	ADP
fcis-26857	74	18	the	the	DET
fcis-26857	74	19	sky	sky	NOUN
fcis-26857	74	20	to	to	ADP
fcis-26857	74	21	the	the	DET
fcis-26857	74	22	ground	ground	NOUN
fcis-26857	74	23	accumulates	accumulate	VERB
fcis-26857	74	24	on	on	ADP
fcis-26857	74	25	the	the	DET
fcis-26857	74	26	horizontal	horizontal	ADJ
fcis-26857	74	27	surface	surface	NOUN
fcis-26857	74	28	without	without	ADP
fcis-26857	74	29	evaporation	evaporation	NOUN
fcis-26857	74	30	,	,	PUNCT
fcis-26857	74	31	infiltration	infiltration	NOUN
fcis-26857	74	32	,	,	PUNCT
fcis-26857	74	33	or	or	CCONJ
fcis-26857	74	34	loss[6	loss[6	PRON
fcis-26857	74	35	]	]	PUNCT
fcis-26857	74	36	.	.	PUNCT
fcis-26857	75	1	the	the	DET
fcis-26857	75	2	data	datum	NOUN
fcis-26857	75	3	were	be	AUX
fcis-26857	75	4	collected	collect	VERB
fcis-26857	75	5	from	from	ADP
fcis-26857	75	6	0:00	0:00	NUM
fcis-26857	75	7	on	on	ADP
fcis-26857	75	8	1	1	NUM
fcis-26857	75	9	january	january	NOUN
fcis-26857	75	10	2019	2019	NUM
fcis-26857	75	11	to	to	ADP
fcis-26857	75	12	23:00	23:00	NUM
fcis-26857	75	13	on	on	ADP
fcis-26857	75	14	31	31	NUM
fcis-26857	75	15	december	december	PROPN
fcis-26857	75	16	2023	2023	NUM
fcis-26857	75	17	,	,	PUNCT
fcis-26857	75	18	with	with	ADP
fcis-26857	75	19	a	a	DET
fcis-26857	75	20	total	total	NOUN
fcis-26857	75	21	of	of	ADP
fcis-26857	75	22	60	60	NUM
fcis-26857	75	23	sets	set	NOUN
fcis-26857	75	24	of	of	ADP
fcis-26857	75	25	data	datum	NOUN
fcis-26857	75	26	samples	sample	NOUN
fcis-26857	75	27	.	.	PUNCT
fcis-26857	76	1	in	in	ADP
fcis-26857	76	2	this	this	DET
fcis-26857	76	3	paper	paper	NOUN
fcis-26857	76	4	,	,	PUNCT
fcis-26857	76	5	we	we	PRON
fcis-26857	76	6	will	will	AUX
fcis-26857	76	7	take	take	VERB
fcis-26857	76	8	the	the	DET
fcis-26857	76	9	data	datum	NOUN
fcis-26857	76	10	from	from	ADP
fcis-26857	76	11	0:00	0:00	NUM
fcis-26857	76	12	on	on	ADP
fcis-26857	76	13	1	1	NUM
fcis-26857	76	14	january	january	NOUN
fcis-26857	76	15	2019	2019	NUM
fcis-26857	76	16	to	to	ADP
fcis-26857	76	17	23:00	23:00	NUM
fcis-26857	76	18	on	on	ADP
fcis-26857	76	19	31	31	NUM
fcis-26857	76	20	december	december	PROPN
fcis-26857	76	21	2022	2022	NUM
fcis-26857	76	22	,	,	PUNCT
fcis-26857	76	23	with	with	ADP
fcis-26857	76	24	744	744	NUM
fcis-26857	76	25	hourly	hourly	ADJ
fcis-26857	76	26	precipitation	precipitation	NOUN
fcis-26857	76	27	samples	sample	NOUN
fcis-26857	76	28	in	in	ADP
fcis-26857	76	29	each	each	DET
fcis-26857	76	30	group	group	NOUN
fcis-26857	76	31	,	,	PUNCT
fcis-26857	76	32	with	with	ADP
fcis-26857	76	33	a	a	DET
fcis-26857	76	34	total	total	NOUN
fcis-26857	76	35	of	of	ADP
fcis-26857	76	36	48	48	NUM
fcis-26857	76	37	data	datum	NOUN
fcis-26857	76	38	samples	sample	NOUN
fcis-26857	76	39	as	as	ADP
fcis-26857	76	40	the	the	DET
fcis-26857	76	41	training	training	NOUN
fcis-26857	76	42	set	set	NOUN
fcis-26857	76	43	,	,	PUNCT
fcis-26857	76	44	and	and	CCONJ
fcis-26857	76	45	12	12	NUM
fcis-26857	76	46	sets	set	NOUN
fcis-26857	76	47	of	of	ADP
fcis-26857	76	48	sample	sample	NOUN
fcis-26857	76	49	data	datum	NOUN
fcis-26857	76	50	for	for	ADP
fcis-26857	76	51	the	the	DET
fcis-26857	76	52	whole	whole	ADJ
fcis-26857	76	53	year	year	NOUN
fcis-26857	76	54	of	of	ADP
fcis-26857	76	55	2023	2023	NUM
fcis-26857	76	56	as	as	ADP
fcis-26857	76	57	the	the	DET
fcis-26857	76	58	test	test	NOUN
fcis-26857	76	59	dataset	dataset	NOUN
fcis-26857	76	60	,	,	PUNCT
fcis-26857	76	61	and	and	CCONJ
fcis-26857	76	62	the	the	DET
fcis-26857	76	63	model	model	NOUN
fcis-26857	76	64	will	will	AUX
fcis-26857	76	65	be	be	AUX
fcis-26857	76	66	trained	train	VERB
fcis-26857	76	67	and	and	CCONJ
fcis-26857	76	68	fitted	fit	VERB
fcis-26857	76	69	to	to	ADP
fcis-26857	76	70	the	the	DET
fcis-26857	76	71	test	test	NOUN
fcis-26857	76	72	dataset	dataset	VERB
fcis-26857	76	73	.	.	PUNCT
fcis-26857	77	1	we	we	PRON
fcis-26857	77	2	will	will	AUX
fcis-26857	77	3	train	train	VERB
fcis-26857	77	4	the	the	DET
fcis-26857	77	5	model	model	NOUN
fcis-26857	77	6	and	and	CCONJ
fcis-26857	77	7	then	then	ADV
fcis-26857	77	8	give	give	VERB
fcis-26857	77	9	the	the	DET
fcis-26857	77	10	predicted	predict	VERB
fcis-26857	77	11	values	value	NOUN
fcis-26857	77	12	and	and	CCONJ
fcis-26857	77	13	fit	fit	VERB
fcis-26857	77	14	them	they	PRON
fcis-26857	77	15	to	to	ADP
fcis-26857	77	16	the	the	DET
fcis-26857	77	17	test	test	NOUN
fcis-26857	77	18	data	datum	NOUN
fcis-26857	77	19	set	set	VERB
fcis-26857	77	20	.	.	PUNCT
fcis-26857	78	1	table	table	NOUN
fcis-26857	78	2	1	1	NUM
fcis-26857	78	3	.	.	PUNCT
fcis-26857	79	1	description	description	NOUN
fcis-26857	79	2	of	of	ADP
fcis-26857	79	3	symbols	symbol	NOUN
fcis-26857	79	4	notation	notation	NOUN
fcis-26857	79	5	description	description	NOUN
fcis-26857	79	6	of	of	ADP
fcis-26857	79	7	symbols	symbol	NOUN
fcis-26857	79	8	hourly	hourly	ADJ
fcis-26857	79	9	precipitation	precipitation	NOUN
fcis-26857	79	10	input	input	NOUN
fcis-26857	79	11	gate	gate	PROPN
fcis-26857	79	12	oblivion	oblivion	PROPN
fcis-26857	79	13	gate	gate	PROPN
fcis-26857	79	14	output	output	PROPN
fcis-26857	79	15	gate	gate	PROPN
fcis-26857	79	16	memory	memory	NOUN
fcis-26857	79	17	cells	cell	NOUN
fcis-26857	79	18	(	(	PUNCT
fcis-26857	79	19	candidate	candidate	NOUN
fcis-26857	79	20	memory	memory	NOUN
fcis-26857	79	21	cells	cell	NOUN
fcis-26857	79	22	)	)	PUNCT
fcis-26857	79	23	elemental	elemental	ADJ
fcis-26857	79	24	multiplication	multiplication	NOUN
fcis-26857	79	25	,	,	PUNCT
fcis-26857	79	26	,	,	PUNCT
fcis-26857	79	27	,	,	PUNCT
fcis-26857	79	28	,	,	PUNCT
fcis-26857	79	29	.	.	PUNCT
fcis-26857	80	1	weighting	weight	VERB
fcis-26857	80	2	parameter	parameter	NOUN
fcis-26857	80	3	,	,	PUNCT
fcis-26857	80	4	.	.	PUNCT
fcis-26857	81	1	deviation	deviation	NOUN
fcis-26857	81	2	parameters	parameter	NOUN
fcis-26857	81	3	number	number	NOUN
fcis-26857	81	4	of	of	ADP
fcis-26857	81	5	hidden	hide	VERB
fcis-26857	81	6	units	unit	NOUN
fcis-26857	81	7	time	time	NOUN
fcis-26857	81	8	step	step	VERB
fcis-26857	81	9	the	the	DET
fcis-26857	81	10	leader	leader	NOUN
fcis-26857	81	11	of	of	ADP
fcis-26857	81	12	the	the	DET
fcis-26857	81	13	pack	pack	NOUN
fcis-26857	81	14	,	,	PUNCT
fcis-26857	81	15	the	the	DET
fcis-26857	81	16	first	first	ADJ
fcis-26857	81	17	in	in	ADP
fcis-26857	81	18	the	the	DET
fcis-26857	81	19	social	social	ADJ
fcis-26857	81	20	hierarchy	hierarchy	NOUN
fcis-26857	81	21	.	.	PUNCT
fcis-26857	82	1	wolves	wolf	NOUN
fcis-26857	82	2	,	,	PUNCT
fcis-26857	82	3	in	in	ADP
fcis-26857	82	4	the	the	DET
fcis-26857	82	5	second	second	ADJ
fcis-26857	82	6	tier	tier	NOUN
fcis-26857	82	7	of	of	ADP
fcis-26857	82	8	the	the	DET
fcis-26857	82	9	social	social	ADJ
fcis-26857	82	10	hierarchy	hierarchy	NOUN
fcis-26857	82	11	wolves	wolf	NOUN
fcis-26857	82	12	are	be	AUX
fcis-26857	82	13	in	in	ADP
fcis-26857	82	14	the	the	DET
fcis-26857	82	15	third	third	ADJ
fcis-26857	82	16	tier	tier	NOUN
fcis-26857	82	17	of	of	ADP
fcis-26857	82	18	the	the	DET
fcis-26857	82	19	social	social	ADJ
fcis-26857	82	20	hierarchy	hierarchy	NOUN
fcis-26857	82	21	,	,	PUNCT
fcis-26857	82	22	consisting	consist	VERB
fcis-26857	82	23	of	of	ADP
fcis-26857	82	24	pups	pup	NOUN
fcis-26857	82	25	,	,	PUNCT
fcis-26857	82	26	sentinel	sentinel	ADJ
fcis-26857	82	27	wolves	wolf	NOUN
fcis-26857	82	28	comprise	comprise	VERB
fcis-26857	82	29	wolves	wolf	NOUN
fcis-26857	82	30	,	,	PUNCT
fcis-26857	82	31	in	in	ADP
fcis-26857	82	32	the	the	DET
fcis-26857	82	33	fourth	fourth	ADJ
fcis-26857	82	34	tier	tier	NOUN
fcis-26857	82	35	of	of	ADP
fcis-26857	82	36	the	the	DET
fcis-26857	82	37	social	social	ADJ
fcis-26857	82	38	hierarchy	hierarchy	NOUN
fcis-26857	82	39	after	after	ADP
fcis-26857	82	40	that	that	PRON
fcis-26857	82	41	,	,	PUNCT
fcis-26857	82	42	we	we	PRON
fcis-26857	82	43	will	will	AUX
fcis-26857	82	44	give	give	VERB
fcis-26857	82	45	precipitation	precipitation	NOUN
fcis-26857	82	46	projections	projection	NOUN
fcis-26857	82	47	for	for	ADP
fcis-26857	82	48	the	the	DET
fcis-26857	82	49	next	next	ADJ
fcis-26857	82	50	12	12	NUM
fcis-26857	82	51	periods	period	NOUN
fcis-26857	82	52	,	,	PUNCT
fcis-26857	82	53	i.e.	i.e.	X
fcis-26857	82	54	,	,	PUNCT
fcis-26857	82	55	rainy	rainy	ADJ
fcis-26857	82	56	and	and	CCONJ
fcis-26857	82	57	non	non	ADJ
fcis-26857	82	58	-	-	ADJ
fcis-26857	82	59	rainy	rainy	ADJ
fcis-26857	82	60	season	season	NOUN
fcis-26857	82	61	precipitation	precipitation	NOUN
fcis-26857	82	62	data	datum	NOUN
fcis-26857	82	63	for	for	ADP
fcis-26857	82	64	the	the	DET
fcis-26857	82	65	year	year	NOUN
fcis-26857	82	66	2024	2024	NUM
fcis-26857	82	67	.	.	PUNCT
fcis-26857	83	1	9	9	NUM
fcis-26857	83	2	table	table	NOUN
fcis-26857	83	3	2	2	NUM
fcis-26857	83	4	.	.	PUNCT
fcis-26857	83	5	data	datum	NOUN
fcis-26857	83	6	features	feature	NOUN
fcis-26857	83	7	of	of	ADP
fcis-26857	83	8	the	the	DET
fcis-26857	83	9	lstm	lstm	PROPN
fcis-26857	83	10	model	model	NOUN
fcis-26857	83	11	dataset	dataset	PROPN
fcis-26857	83	12	data	datum	NOUN
fcis-26857	83	13	set	set	VERB
fcis-26857	83	14	starting	start	VERB
fcis-26857	83	15	and	and	CCONJ
fcis-26857	83	16	ending	end	VERB
fcis-26857	83	17	time	time	NOUN
fcis-26857	83	18	of	of	ADP
fcis-26857	83	19	data	datum	NOUN
fcis-26857	83	20	sample	sample	NOUN
fcis-26857	83	21	size	size	NOUN
fcis-26857	83	22	training	training	NOUN
fcis-26857	83	23	data	datum	NOUN
fcis-26857	83	24	january	january	PROPN
fcis-26857	83	25	2019	2019	NUM
fcis-26857	83	26	-	-	PUNCT
fcis-26857	83	27	december	december	PROPN
fcis-26857	83	28	2022	2022	NUM
fcis-26857	83	29	group	group	NOUN
fcis-26857	83	30	48	48	NUM
fcis-26857	83	31	test	test	NOUN
fcis-26857	83	32	data	datum	NOUN
fcis-26857	83	33	january	january	PROPN
fcis-26857	83	34	2023	2023	NUM
fcis-26857	83	35	-	-	SYM
fcis-26857	83	36	december	december	PROPN
fcis-26857	83	37	2023	2023	NUM
fcis-26857	83	38	12	12	NUM
fcis-26857	83	39	groups	group	NOUN
fcis-26857	83	40	4	4	NUM
fcis-26857	83	41	.	.	X
fcis-26857	84	1	data	datum	NOUN
fcis-26857	84	2	pre	pre	ADJ
fcis-26857	84	3	-	-	ADJ
fcis-26857	84	4	processing	process	VERB
fcis-26857	84	5	4.1	4.1	NUM
fcis-26857	84	6	.	.	PUNCT
fcis-26857	85	1	data	datum	NOUN
fcis-26857	85	2	cleaning	clean	VERB
fcis-26857	85	3	accumulation	accumulation	NOUN
fcis-26857	85	4	we	we	PRON
fcis-26857	85	5	took	take	VERB
fcis-26857	85	6	the	the	DET
fcis-26857	85	7	acquired	acquire	VERB
fcis-26857	85	8	data	datum	NOUN
fcis-26857	85	9	,	,	PUNCT
fcis-26857	85	10	first	first	ADV
fcis-26857	85	11	sieved	sieve	VERB
fcis-26857	85	12	and	and	CCONJ
fcis-26857	85	13	washed	wash	VERB
fcis-26857	85	14	it	it	PRON
fcis-26857	85	15	,	,	PUNCT
fcis-26857	85	16	and	and	CCONJ
fcis-26857	85	17	accumulated	accumulate	VERB
fcis-26857	85	18	the	the	DET
fcis-26857	85	19	sieved	sieve	VERB
fcis-26857	85	20	data	datum	NOUN
fcis-26857	85	21	into	into	ADP
fcis-26857	85	22	monthly	monthly	ADJ
fcis-26857	85	23	precipitation	precipitation	NOUN
fcis-26857	85	24	totals	total	NOUN
fcis-26857	85	25	to	to	PART
fcis-26857	85	26	get	get	VERB
fcis-26857	85	27	the	the	DET
fcis-26857	85	28	following	follow	VERB
fcis-26857	85	29	table	table	NOUN
fcis-26857	85	30	:	:	PUNCT
fcis-26857	85	31	and	and	CCONJ
fcis-26857	85	32	draw	draw	VERB
fcis-26857	85	33	images	image	NOUN
fcis-26857	85	34	for	for	ADP
fcis-26857	85	35	analysis	analysis	NOUN
fcis-26857	85	36	:	:	PUNCT
fcis-26857	85	37	fig	fig	NOUN
fcis-26857	85	38	3	3	NUM
fcis-26857	85	39	.	.	PUNCT
fcis-26857	85	40	monthly	monthly	ADJ
fcis-26857	85	41	precipitation	precipitation	NOUN
fcis-26857	85	42	trends	trend	NOUN
fcis-26857	85	43	in	in	ADP
fcis-26857	85	44	suqian	suqian	ADJ
fcis-26857	85	45	city	city	NOUN
fcis-26857	85	46	by	by	ADP
fcis-26857	85	47	year	year	NOUN
fcis-26857	85	48	2019	2019	NUM
fcis-26857	85	49	-	-	SYM
fcis-26857	85	50	2023	2023	NUM
fcis-26857	85	51	according	accord	VERB
fcis-26857	85	52	to	to	ADP
fcis-26857	85	53	fig	fig	NOUN
fcis-26857	85	54	.	.	PUNCT
fcis-26857	86	1	3	3	NUM
fcis-26857	86	2	,	,	PUNCT
fcis-26857	86	3	we	we	PRON
fcis-26857	86	4	can	can	AUX
fcis-26857	86	5	analyse	analyse	VERB
fcis-26857	86	6	that	that	SCONJ
fcis-26857	86	7	the	the	DET
fcis-26857	86	8	monthly	monthly	ADJ
fcis-26857	86	9	precipitation	precipitation	NOUN
fcis-26857	86	10	is	be	AUX
fcis-26857	86	11	concentrated	concentrate	VERB
fcis-26857	86	12	in	in	ADP
fcis-26857	86	13	july	july	PROPN
fcis-26857	86	14	-	-	PUNCT
fcis-26857	86	15	september	september	PROPN
fcis-26857	86	16	,	,	PUNCT
fcis-26857	86	17	and	and	CCONJ
fcis-26857	86	18	its	its	PRON
fcis-26857	86	19	precipitation	precipitation	NOUN
fcis-26857	86	20	from	from	ADP
fcis-26857	86	21	october	october	PROPN
fcis-26857	86	22	to	to	ADP
fcis-26857	86	23	june	june	PROPN
fcis-26857	86	24	of	of	ADP
fcis-26857	86	25	the	the	DET
fcis-26857	86	26	following	following	ADJ
fcis-26857	86	27	year	year	NOUN
fcis-26857	86	28	all	all	PRON
fcis-26857	86	29	shows	show	VERB
fcis-26857	86	30	a	a	DET
fcis-26857	86	31	relatively	relatively	ADV
fcis-26857	86	32	flat	flat	ADJ
fcis-26857	86	33	state	state	NOUN
fcis-26857	86	34	.	.	PUNCT
fcis-26857	87	1	the	the	DET
fcis-26857	87	2	span	span	NOUN
fcis-26857	87	3	between	between	ADP
fcis-26857	87	4	the	the	DET
fcis-26857	87	5	rainy	rainy	ADJ
fcis-26857	87	6	season	season	NOUN
fcis-26857	87	7	and	and	CCONJ
fcis-26857	87	8	the	the	DET
fcis-26857	87	9	non	non	ADJ
fcis-26857	87	10	-	-	ADJ
fcis-26857	87	11	rainy	rainy	ADJ
fcis-26857	87	12	season	season	NOUN
fcis-26857	87	13	is	be	AUX
fcis-26857	87	14	very	very	ADV
fcis-26857	87	15	large	large	ADJ
fcis-26857	87	16	,	,	PUNCT
fcis-26857	87	17	so	so	SCONJ
fcis-26857	87	18	we	we	PRON
fcis-26857	87	19	will	will	AUX
fcis-26857	87	20	make	make	VERB
fcis-26857	87	21	separate	separate	ADJ
fcis-26857	87	22	predictions	prediction	NOUN
fcis-26857	87	23	for	for	ADP
fcis-26857	87	24	the	the	DET
fcis-26857	87	25	rainy	rainy	ADJ
fcis-26857	87	26	season	season	NOUN
fcis-26857	87	27	(	(	PUNCT
fcis-26857	87	28	july	july	PROPN
fcis-26857	87	29	-	-	PUNCT
fcis-26857	87	30	september	september	PROPN
fcis-26857	87	31	)	)	PUNCT
fcis-26857	87	32	and	and	CCONJ
fcis-26857	87	33	the	the	DET
fcis-26857	87	34	non	non	ADJ
fcis-26857	87	35	-	-	ADJ
fcis-26857	87	36	rainy	rainy	ADJ
fcis-26857	87	37	season	season	NOUN
fcis-26857	87	38	(	(	PUNCT
fcis-26857	87	39	october	october	PROPN
fcis-26857	87	40	-	-	PUNCT
fcis-26857	87	41	june	june	PROPN
fcis-26857	87	42	)	)	PUNCT
fcis-26857	87	43	in	in	ADP
fcis-26857	87	44	the	the	DET
fcis-26857	87	45	subsequent	subsequent	ADJ
fcis-26857	87	46	modelling	modelling	NOUN
fcis-26857	87	47	,	,	PUNCT
fcis-26857	87	48	so	so	SCONJ
fcis-26857	87	49	that	that	SCONJ
fcis-26857	87	50	manually	manually	ADV
fcis-26857	87	51	separating	separate	VERB
fcis-26857	87	52	the	the	DET
fcis-26857	87	53	seasonal	seasonal	ADJ
fcis-26857	87	54	fluctuations	fluctuation	NOUN
fcis-26857	87	55	can	can	AUX
fcis-26857	87	56	greatly	greatly	ADV
fcis-26857	87	57	improve	improve	VERB
fcis-26857	87	58	the	the	DET
fcis-26857	87	59	accuracy	accuracy	NOUN
fcis-26857	87	60	of	of	ADP
fcis-26857	87	61	the	the	DET
fcis-26857	87	62	prediction	prediction	NOUN
fcis-26857	87	63	,	,	PUNCT
fcis-26857	87	64	and	and	CCONJ
fcis-26857	87	65	the	the	DET
fcis-26857	87	66	prediction	prediction	NOUN
fcis-26857	87	67	result	result	NOUN
fcis-26857	87	68	is	be	AUX
fcis-26857	87	69	more	more	ADV
fcis-26857	87	70	gentle	gentle	ADJ
fcis-26857	87	71	and	and	CCONJ
fcis-26857	87	72	stable	stable	ADJ
fcis-26857	87	73	.	.	PUNCT
fcis-26857	88	1	4.2	4.2	NUM
fcis-26857	88	2	.	.	PUNCT
fcis-26857	89	1	data	datum	NOUN
fcis-26857	89	2	normalisation	normalisation	NOUN
fcis-26857	89	3	we	we	PRON
fcis-26857	89	4	map	map	VERB
fcis-26857	89	5	each	each	DET
fcis-26857	89	6	set	set	NOUN
fcis-26857	89	7	of	of	ADP
fcis-26857	89	8	data	datum	NOUN
fcis-26857	89	9	linearly	linearly	ADV
fcis-26857	89	10	into	into	ADP
fcis-26857	89	11	the	the	DET
fcis-26857	89	12	interval	interval	NOUN
fcis-26857	89	13	[	[	X
fcis-26857	89	14	0	0	NUM
fcis-26857	89	15	,	,	PUNCT
fcis-26857	89	16	1	1	NUM
fcis-26857	89	17	]	]	PUNCT
fcis-26857	89	18	,	,	PUNCT
fcis-26857	89	19	i.e.	i.e.	X
fcis-26857	89	20	,	,	PUNCT
fcis-26857	89	21	normalised	normalise	VERB
fcis-26857	89	22	,	,	PUNCT
fcis-26857	89	23	for	for	ADP
fcis-26857	89	24	all	all	DET
fcis-26857	89	25	data	datum	NOUN
fcis-26857	89	26	as	as	SCONJ
fcis-26857	89	27	follows	follow	VERB
fcis-26857	89	28	for	for	ADP
fcis-26857	89	29	any	any	DET
fcis-26857	89	30	set	set	NOUN
fcis-26857	89	31	of	of	ADP
fcis-26857	89	32	data	datum	NOUN
fcis-26857	89	33	there	there	PRON
fcis-26857	89	34	is	be	VERB
fcis-26857	89	35	(	(	PUNCT
fcis-26857	89	36	1	1	NUM
fcis-26857	89	37	)	)	PUNCT
fcis-26857	89	38	then	then	ADV
fcis-26857	89	39	inverse	inverse	ADJ
fcis-26857	89	40	normalisation	normalisation	NOUN
fcis-26857	89	41	that	that	PRON
fcis-26857	89	42	is	be	AUX
fcis-26857	89	43	:	:	PUNCT
fcis-26857	89	44	(	(	PUNCT
fcis-26857	89	45	2	2	X
fcis-26857	89	46	)	)	PUNCT
fcis-26857	89	47	4.3	4.3	NUM
fcis-26857	89	48	.	.	PUNCT
fcis-26857	89	49	unit	unit	NOUN
fcis-26857	89	50	root	root	PROPN
fcis-26857	89	51	test	test	NOUN
fcis-26857	89	52	(	(	PUNCT
fcis-26857	89	53	adf	adf	NOUN
fcis-26857	89	54	test	test	NOUN
fcis-26857	89	55	)	)	PUNCT
fcis-26857	90	1	the	the	DET
fcis-26857	90	2	unit	unit	NOUN
fcis-26857	90	3	root	root	NOUN
fcis-26857	90	4	test	test	NOUN
fcis-26857	90	5	is	be	AUX
fcis-26857	90	6	a	a	DET
fcis-26857	90	7	statistical	statistical	ADJ
fcis-26857	90	8	method	method	NOUN
fcis-26857	90	9	used	use	VERB
fcis-26857	90	10	to	to	PART
fcis-26857	90	11	test	test	VERB
fcis-26857	90	12	whether	whether	SCONJ
fcis-26857	90	13	time	time	NOUN
fcis-26857	90	14	series	series	PROPN
fcis-26857	90	15	data	data	PROPN
fcis-26857	90	16	has	have	VERB
fcis-26857	90	17	a	a	DET
fcis-26857	90	18	unit	unit	NOUN
fcis-26857	90	19	root	root	NOUN
fcis-26857	90	20	(	(	PUNCT
fcis-26857	90	21	i.e.	i.e.	X
fcis-26857	90	22	,	,	PUNCT
fcis-26857	90	23	whether	whether	SCONJ
fcis-26857	90	24	it	it	PRON
fcis-26857	90	25	is	be	AUX
fcis-26857	90	26	nonstationary	nonstationary	ADJ
fcis-26857	90	27	)	)	PUNCT
fcis-26857	90	28	.	.	PUNCT
fcis-26857	91	1	in	in	ADP
fcis-26857	91	2	time	time	NOUN
fcis-26857	91	3	series	series	PROPN
fcis-26857	91	4	analysis	analysis	NOUN
fcis-26857	91	5	,	,	PUNCT
fcis-26857	91	6	the	the	DET
fcis-26857	91	7	unit	unit	NOUN
fcis-26857	91	8	root	root	NOUN
fcis-26857	91	9	indicates	indicate	VERB
fcis-26857	91	10	that	that	SCONJ
fcis-26857	91	11	the	the	DET
fcis-26857	91	12	series	series	NOUN
fcis-26857	91	13	has	have	VERB
fcis-26857	91	14	a	a	DET
fcis-26857	91	15	random	random	ADJ
fcis-26857	91	16	walk	walk	NOUN
fcis-26857	91	17	characteristic	characteristic	ADJ
fcis-26857	91	18	,	,	PUNCT
fcis-26857	91	19	i.e.	i.e.	X
fcis-26857	91	20	,	,	PUNCT
fcis-26857	91	21	the	the	DET
fcis-26857	91	22	series	series	NOUN
fcis-26857	91	23	does	do	AUX
fcis-26857	91	24	not	not	PART
fcis-26857	91	25	have	have	VERB
fcis-26857	91	26	a	a	DET
fcis-26857	91	27	fixed	fix	VERB
fcis-26857	91	28	mean	mean	NOUN
fcis-26857	91	29	and	and	CCONJ
fcis-26857	91	30	variance	variance	NOUN
fcis-26857	91	31	in	in	ADP
fcis-26857	91	32	time	time	NOUN
fcis-26857	91	33	,	,	PUNCT
fcis-26857	91	34	and	and	CCONJ
fcis-26857	91	35	shows	show	VERB
fcis-26857	91	36	a	a	DET
fcis-26857	91	37	constantly	constantly	ADV
fcis-26857	91	38	fluctuating	fluctuate	VERB
fcis-26857	91	39	trend	trend	NOUN
fcis-26857	91	40	.	.	PUNCT
fcis-26857	92	1	therefore	therefore	ADV
fcis-26857	92	2	,	,	PUNCT
fcis-26857	92	3	we	we	PRON
fcis-26857	92	4	take	take	VERB
fcis-26857	92	5	the	the	DET
fcis-26857	92	6	unit	unit	NOUN
fcis-26857	92	7	root	root	NOUN
fcis-26857	92	8	test	test	NOUN
fcis-26857	92	9	in	in	ADP
fcis-26857	92	10	data	datum	NOUN
fcis-26857	92	11	preprocessing	preprocesse	VERB
fcis-26857	92	12	to	to	PART
fcis-26857	92	13	determine	determine	VERB
fcis-26857	92	14	whether	whether	SCONJ
fcis-26857	92	15	this	this	DET
fcis-26857	92	16	set	set	NOUN
fcis-26857	92	17	of	of	ADP
fcis-26857	92	18	data	datum	NOUN
fcis-26857	92	19	is	be	AUX
fcis-26857	92	20	a	a	DET
fcis-26857	92	21	white	white	ADJ
fcis-26857	92	22	noise	noise	NOUN
fcis-26857	92	23	series	series	NOUN
fcis-26857	92	24	.	.	PUNCT
fcis-26857	93	1	first	first	ADV
fcis-26857	93	2	make	make	VERB
fcis-26857	93	3	a	a	DET
fcis-26857	93	4	raw	raw	ADJ
fcis-26857	93	5	sequence	sequence	NOUN
fcis-26857	93	6	plot	plot	NOUN
fcis-26857	93	7	from	from	ADP
fcis-26857	93	8	the	the	DET
fcis-26857	93	9	raw	raw	ADJ
fcis-26857	93	10	data	datum	NOUN
fcis-26857	93	11	:	:	PUNCT
fcis-26857	93	12	fig	fig	NOUN
fcis-26857	93	13	4	4	NUM
fcis-26857	93	14	.	.	PUNCT
fcis-26857	93	15	original	original	ADJ
fcis-26857	93	16	sequence	sequence	NOUN
fcis-26857	93	17	diagram	diagram	NOUN
fcis-26857	93	18	the	the	DET
fcis-26857	93	19	hypothesis	hypothesis	NOUN
fcis-26857	93	20	is	be	AUX
fcis-26857	93	21	then	then	ADV
fcis-26857	93	22	formulated	formulate	VERB
fcis-26857	93	23	:	:	PUNCT
fcis-26857	93	24	the	the	DET
fcis-26857	93	25	original	original	ADJ
fcis-26857	93	26	hypothesis	hypothesis	NOUN
fcis-26857	93	27	is	be	AUX
fcis-26857	93	28	that	that	SCONJ
fcis-26857	93	29	the	the	DET
fcis-26857	93	30	series	series	NOUN
fcis-26857	93	31	has	have	VERB
fcis-26857	93	32	a	a	DET
fcis-26857	93	33	unit	unit	NOUN
fcis-26857	93	34	root	root	NOUN
fcis-26857	93	35	,	,	PUNCT
fcis-26857	93	36	i.e.	i.e.	X
fcis-26857	93	37	,	,	PUNCT
fcis-26857	93	38	the	the	DET
fcis-26857	93	39	series	series	NOUN
fcis-26857	93	40	is	be	AUX
fcis-26857	93	41	nonstationary	nonstationary	ADJ
fcis-26857	93	42	.	.	PUNCT
fcis-26857	94	1	selection	selection	NOUN
fcis-26857	94	2	of	of	ADP
fcis-26857	94	3	statistical	statistical	ADJ
fcis-26857	94	4	tests	test	NOUN
fcis-26857	94	5	:	:	PUNCT
fcis-26857	94	6	for	for	SCONJ
fcis-26857	94	7	this	this	DET
fcis-26857	94	8	data	datum	NOUN
fcis-26857	94	9	set	set	VERB
fcis-26857	94	10	we	we	PRON
fcis-26857	94	11	chose	choose	VERB
fcis-26857	94	12	the	the	DET
fcis-26857	94	13	adf	adf	PROPN
fcis-26857	94	14	test	test	NOUN
fcis-26857	94	15	.	.	PUNCT
fcis-26857	95	1	calculate	calculate	VERB
fcis-26857	95	2	the	the	DET
fcis-26857	95	3	test	test	NOUN
fcis-26857	95	4	statistic	statistic	NOUN
fcis-26857	95	5	:	:	PUNCT
fcis-26857	95	6	perform	perform	VERB
fcis-26857	95	7	a	a	DET
fcis-26857	95	8	unit	unit	NOUN
fcis-26857	95	9	root	root	NOUN
fcis-26857	95	10	test	test	NOUN
fcis-26857	95	11	on	on	ADP
fcis-26857	95	12	the	the	DET
fcis-26857	95	13	series	series	NOUN
fcis-26857	95	14	and	and	CCONJ
fcis-26857	95	15	calculate	calculate	VERB
fcis-26857	95	16	the	the	DET
fcis-26857	95	17	value	value	NOUN
fcis-26857	95	18	of	of	ADP
fcis-26857	95	19	the	the	DET
fcis-26857	95	20	test	test	NOUN
fcis-26857	95	21	statistic	statistic	NOUN
fcis-26857	95	22	.	.	PUNCT
fcis-26857	96	1	setting	set	VERB
fcis-26857	96	2	the	the	DET
fcis-26857	96	3	level	level	NOUN
fcis-26857	96	4	of	of	ADP
fcis-26857	96	5	significance	significance	NOUN
fcis-26857	96	6	:	:	PUNCT
fcis-26857	96	7	determine	determine	VERB
fcis-26857	96	8	the	the	DET
fcis-26857	96	9	critical	critical	ADJ
fcis-26857	96	10	10	10	NUM
fcis-26857	96	11	value	value	NOUN
fcis-26857	96	12	for	for	ADP
fcis-26857	96	13	rejecting	reject	VERB
fcis-26857	96	14	the	the	DET
fcis-26857	96	15	original	original	ADJ
fcis-26857	96	16	hypothesis	hypothesis	NOUN
fcis-26857	96	17	based	base	VERB
fcis-26857	96	18	on	on	ADP
fcis-26857	96	19	the	the	DET
fcis-26857	96	20	level	level	NOUN
fcis-26857	96	21	of	of	ADP
fcis-26857	96	22	significance	significance	NOUN
fcis-26857	96	23	.	.	PUNCT
fcis-26857	97	1	to	to	PART
fcis-26857	97	2	determine	determine	VERB
fcis-26857	97	3	whether	whether	SCONJ
fcis-26857	97	4	to	to	PART
fcis-26857	97	5	reject	reject	VERB
fcis-26857	97	6	the	the	DET
fcis-26857	97	7	original	original	ADJ
fcis-26857	97	8	hypothesis	hypothesis	NOUN
fcis-26857	97	9	:	:	PUNCT
fcis-26857	97	10	if	if	SCONJ
fcis-26857	97	11	the	the	DET
fcis-26857	97	12	value	value	NOUN
fcis-26857	97	13	of	of	ADP
fcis-26857	97	14	the	the	DET
fcis-26857	97	15	test	test	NOUN
fcis-26857	97	16	statistic	statistic	NOUN
fcis-26857	97	17	is	be	AUX
fcis-26857	97	18	less	less	ADJ
fcis-26857	97	19	than	than	ADP
fcis-26857	97	20	the	the	DET
fcis-26857	97	21	critical	critical	ADJ
fcis-26857	97	22	value	value	NOUN
fcis-26857	97	23	,	,	PUNCT
fcis-26857	97	24	the	the	DET
fcis-26857	97	25	original	original	ADJ
fcis-26857	97	26	hypothesis	hypothesis	NOUN
fcis-26857	97	27	is	be	AUX
fcis-26857	97	28	rejected	reject	VERB
fcis-26857	97	29	,	,	PUNCT
fcis-26857	97	30	indicating	indicate	VERB
fcis-26857	97	31	that	that	SCONJ
fcis-26857	97	32	the	the	DET
fcis-26857	97	33	series	series	NOUN
fcis-26857	97	34	is	be	AUX
fcis-26857	97	35	smooth	smooth	ADJ
fcis-26857	97	36	;	;	PUNCT
fcis-26857	97	37	conversely	conversely	ADV
fcis-26857	97	38	,	,	PUNCT
fcis-26857	97	39	the	the	DET
fcis-26857	97	40	original	original	ADJ
fcis-26857	97	41	hypothesis	hypothesis	NOUN
fcis-26857	97	42	is	be	AUX
fcis-26857	97	43	accepted	accept	VERB
fcis-26857	97	44	,	,	PUNCT
fcis-26857	97	45	indicating	indicate	VERB
fcis-26857	97	46	that	that	SCONJ
fcis-26857	97	47	the	the	DET
fcis-26857	97	48	series	series	NOUN
fcis-26857	97	49	is	be	AUX
fcis-26857	97	50	non	non	ADJ
fcis-26857	97	51	-	-	ADJ
fcis-26857	97	52	smooth.[7	smooth.[7	ADJ
fcis-26857	97	53	]	]	SYM
fcis-26857	97	54	table	table	NOUN
fcis-26857	97	55	3	3	NUM
fcis-26857	97	56	adf	adf	NOUN
fcis-26857	97	57	test	test	NOUN
fcis-26857	97	58	done	do	VERB
fcis-26857	97	59	according	accord	VERB
fcis-26857	97	60	to	to	ADP
fcis-26857	97	61	the	the	DET
fcis-26857	97	62	above	above	ADJ
fcis-26857	97	63	steps	step	NOUN
fcis-26857	97	64	.	.	PUNCT
fcis-26857	98	1	table	table	NOUN
fcis-26857	98	2	3	3	NUM
fcis-26857	98	3	.	.	PUNCT
fcis-26857	99	1	adf	adf	NOUN
fcis-26857	99	2	inspection	inspection	NOUN
fcis-26857	99	3	table	table	NOUN
fcis-26857	99	4	adf	adf	PROPN
fcis-26857	99	5	inspection	inspection	NOUN
fcis-26857	99	6	form	form	NOUN
fcis-26857	99	7	variant	variant	ADJ
fcis-26857	99	8	difference	difference	NOUN
fcis-26857	99	9	in	in	ADP
fcis-26857	99	10	order	order	NOUN
fcis-26857	99	11	t	t	PROPN
fcis-26857	99	12	p	p	X
fcis-26857	99	13	aic	aic	PROPN
fcis-26857	99	14	threshold	threshold	NOUN
fcis-26857	99	15	value	value	NOUN
fcis-26857	99	16	1	1	NUM
fcis-26857	99	17	%	%	NOUN
fcis-26857	99	18	5	5	NUM
fcis-26857	99	19	%	%	NOUN
fcis-26857	99	20	10	10	NUM
fcis-26857	99	21	%	%	NOUN
fcis-26857	99	22	measured	measure	VERB
fcis-26857	99	23	quantity	quantity	NOUN
fcis-26857	99	24	of	of	ADP
fcis-26857	99	25	rain	rain	NOUN
fcis-26857	99	26	0	0	NUM
fcis-26857	99	27	-1.398	-1.398	ADP
fcis-26857	99	28	0.583	0.583	NUM
fcis-26857	99	29	563.354	563.354	NUM
fcis-26857	99	30	-3.575	-3.575	NOUN
fcis-26857	99	31	-2.924	-2.924	NOUN
fcis-26857	99	32	-2.6	-2.6	PROPN
fcis-26857	99	33	1	1	NUM
fcis-26857	99	34	-6.931	-6.931	PUNCT
fcis-26857	99	35	0.000	0.000	NUM
fcis-26857	99	36	*	*	PUNCT
fcis-26857	99	37	*	*	PUNCT
fcis-26857	100	1	*	*	PUNCT
fcis-26857	100	2	550.374	550.374	NUM
fcis-26857	100	3	-3.578	-3.578	NOUN
fcis-26857	100	4	-2.925	-2.925	X
fcis-26857	100	5	-2.601	-2.601	X
fcis-26857	100	6	2	2	NUM
fcis-26857	100	7	-8.505	-8.505	SYM
fcis-26857	100	8	0.000	0.000	NUM
fcis-26857	100	9	*	*	PUNCT
fcis-26857	100	10	*	*	PUNCT
fcis-26857	100	11	555.489	555.489	NUM
fcis-26857	100	12	-3.581	-3.581	NUM
fcis-26857	100	13	-2.927	-2.927	ADP
fcis-26857	100	14	-2.602	-2.602	X
fcis-26857	100	15	note	note	VERB
fcis-26857	100	16	:	:	PUNCT
fcis-26857	100	17	*	*	PUNCT
fcis-26857	100	18	*	*	PUNCT
fcis-26857	100	19	*	*	PUNCT
fcis-26857	100	20	,	,	PUNCT
fcis-26857	100	21	*	*	PUNCT
fcis-26857	100	22	*	*	PUNCT
fcis-26857	100	23	,	,	PUNCT
fcis-26857	100	24	*	*	PUNCT
fcis-26857	100	25	represent	represent	VERB
fcis-26857	100	26	1	1	NUM
fcis-26857	100	27	per	per	ADP
fcis-26857	100	28	cent	cent	NOUN
fcis-26857	100	29	,	,	PUNCT
fcis-26857	100	30	5	5	NUM
fcis-26857	100	31	per	per	ADP
fcis-26857	100	32	cent	cent	NOUN
fcis-26857	100	33	and	and	CCONJ
fcis-26857	100	34	10	10	NUM
fcis-26857	100	35	per	per	ADP
fcis-26857	100	36	cent	cent	NOUN
fcis-26857	100	37	significance	significance	NOUN
fcis-26857	100	38	levels	level	NOUN
fcis-26857	100	39	,	,	PUNCT
fcis-26857	100	40	respectively	respectively	ADV
fcis-26857	100	41	.	.	PUNCT
fcis-26857	101	1	based	base	VERB
fcis-26857	101	2	on	on	ADP
fcis-26857	101	3	the	the	DET
fcis-26857	101	4	above	above	PROPN
fcis-26857	101	5	adf	adf	PROPN
fcis-26857	101	6	test	test	NOUN
fcis-26857	101	7	table	table	NOUN
fcis-26857	101	8	,	,	PUNCT
fcis-26857	101	9	it	it	PRON
fcis-26857	101	10	is	be	AUX
fcis-26857	101	11	only	only	ADV
fcis-26857	101	12	necessary	necessary	ADJ
fcis-26857	101	13	to	to	PART
fcis-26857	101	14	make	make	VERB
fcis-26857	101	15	a	a	DET
fcis-26857	101	16	first	first	ADJ
fcis-26857	101	17	order	order	NOUN
fcis-26857	101	18	difference	difference	NOUN
fcis-26857	101	19	series	series	NOUN
fcis-26857	101	20	plot	plot	NOUN
fcis-26857	101	21	to	to	PART
fcis-26857	101	22	show	show	VERB
fcis-26857	101	23	that	that	SCONJ
fcis-26857	101	24	in	in	ADP
fcis-26857	101	25	the	the	DET
fcis-26857	101	26	case	case	NOUN
fcis-26857	101	27	of	of	ADP
fcis-26857	101	28	unit	unit	NOUN
fcis-26857	101	29	root	root	PROPN
fcis-26857	101	30	test	test	NOUN
fcis-26857	101	31	(	(	PUNCT
fcis-26857	101	32	adf	adf	NOUN
fcis-26857	101	33	)	)	PUNCT
fcis-26857	101	34	used	use	VERB
fcis-26857	101	35	to	to	PART
fcis-26857	101	36	analyse	analyse	VERB
fcis-26857	101	37	whether	whether	SCONJ
fcis-26857	101	38	the	the	DET
fcis-26857	101	39	time	time	NOUN
fcis-26857	101	40	series	series	NOUN
fcis-26857	101	41	is	be	AUX
fcis-26857	101	42	smooth	smooth	ADJ
fcis-26857	101	43	or	or	CCONJ
fcis-26857	101	44	not	not	PART
fcis-26857	101	45	and	and	CCONJ
fcis-26857	101	46	based	base	VERB
fcis-26857	101	47	on	on	ADP
fcis-26857	101	48	the	the	DET
fcis-26857	101	49	variable	variable	ADJ
fcis-26857	101	50	precipitation	precipitation	NOUN
fcis-26857	101	51	,	,	PUNCT
fcis-26857	101	52	the	the	DET
fcis-26857	101	53	significance	significance	NOUN
fcis-26857	101	54	p	p	NOUN
fcis-26857	101	55	-	-	PUNCT
fcis-26857	101	56	value	value	NOUN
fcis-26857	101	57	is	be	AUX
fcis-26857	101	58	0.000	0.000	NUM
fcis-26857	101	59	*	*	PUNCT
fcis-26857	101	60	*	*	PUNCT
fcis-26857	101	61	*	*	PUNCT
fcis-26857	101	62	at	at	ADP
fcis-26857	101	63	the	the	DET
fcis-26857	101	64	level	level	NOUN
fcis-26857	101	65	of	of	ADP
fcis-26857	101	66	significance	significance	NOUN
fcis-26857	101	67	at	at	ADP
fcis-26857	101	68	the	the	DET
fcis-26857	101	69	difference	difference	NOUN
fcis-26857	101	70	of	of	ADP
fcis-26857	101	71	the	the	DET
fcis-26857	101	72	1st	1st	ADJ
fcis-26857	101	73	order	order	NOUN
fcis-26857	101	74	,	,	PUNCT
fcis-26857	101	75	which	which	PRON
fcis-26857	101	76	presents	present	VERB
fcis-26857	101	77	significance	significance	NOUN
fcis-26857	101	78	and	and	CCONJ
fcis-26857	101	79	rejects	reject	VERB
fcis-26857	101	80	the	the	DET
fcis-26857	101	81	original	original	ADJ
fcis-26857	101	82	hypothesis	hypothesis	NOUN
fcis-26857	101	83	that	that	PRON
fcis-26857	101	84	the	the	DET
fcis-26857	101	85	series	series	NOUN
fcis-26857	101	86	is	be	AUX
fcis-26857	101	87	a	a	DET
fcis-26857	101	88	smooth	smooth	ADJ
fcis-26857	101	89	time	time	NOUN
fcis-26857	101	90	series[8	series[8	PROPN
fcis-26857	101	91	]	]	PUNCT
fcis-26857	101	92	fig	fig	NOUN
fcis-26857	101	93	5	5	NUM
fcis-26857	101	94	.	.	PUNCT
fcis-26857	102	1	first	first	ADJ
fcis-26857	102	2	-	-	PUNCT
fcis-26857	102	3	order	order	NOUN
fcis-26857	102	4	difference	difference	NOUN
fcis-26857	102	5	sequence	sequence	NOUN
fcis-26857	102	6	diagram	diagram	NOUN
fcis-26857	102	7	5	5	NUM
fcis-26857	102	8	.	.	PUNCT
fcis-26857	102	9	modelling	model	VERB
fcis-26857	102	10	ideas	idea	NOUN
fcis-26857	102	11	the	the	DET
fcis-26857	102	12	modelling	model	VERB
fcis-26857	102	13	idea	idea	NOUN
fcis-26857	102	14	of	of	ADP
fcis-26857	102	15	this	this	DET
fcis-26857	102	16	paper	paper	NOUN
fcis-26857	102	17	is	be	AUX
fcis-26857	102	18	as	as	SCONJ
fcis-26857	102	19	follows	follow	VERB
fcis-26857	102	20	hourly	hourly	ADJ
fcis-26857	102	21	 	 	SPACE
fcis-26857	102	22	rainfall	rainfall	NOUN
fcis-26857	102	23	  	  	SPACE
fcis-26857	102	24	(	(	PUNCT
fcis-26857	102	25	mm	mm	PROPN
fcis-26857	102	26	/	/	SYM
fcis-26857	102	27	h	h	NOUN
fcis-26857	102	28	)	)	PUNCT
fcis-26857	102	29	data	data	NOUN
fcis-26857	102	30	  	  	SPACE
fcis-26857	102	31	standardizati	standardizati	PROPN
fcis-26857	102	32	on	on	ADP
fcis-26857	102	33	 	 	SPACE
fcis-26857	102	34	and	and	CCONJ
fcis-26857	102	35	  	  	SPACE
fcis-26857	102	36	preprocessing	preprocesse	VERB
fcis-26857	102	37	compare	compare	NOUN
fcis-26857	102	38	 	 	SPACE
fcis-26857	102	39	and	and	CCONJ
fcis-26857	102	40	  	  	SPACE
fcis-26857	102	41	integrate	integrate	VERB
fcis-26857	102	42	 	 	SPACE
fcis-26857	102	43	data	datum	NOUN
fcis-26857	102	44	training	training	NOUN
fcis-26857	102	45	 	 	SPACE
fcis-26857	102	46	set	set	VERB
fcis-26857	102	47	extract	extract	NOUN
fcis-26857	102	48	  	  	SPACE
fcis-26857	102	49	feature	feature	NOUN
fcis-26857	102	50	 	 	SPACE
fcis-26857	102	51	data	datum	NOUN
fcis-26857	102	52	adjust	adjust	VERB
fcis-26857	102	53	 	 	SPACE
fcis-26857	102	54	parameters	parameter	NOUN
fcis-26857	102	55	  	  	SPACE
fcis-26857	102	56	(	(	PUNCT
fcis-26857	102	57	e.g.	e.g.	ADV
fcis-26857	102	58	,	,	PUNCT
fcis-26857	102	59	 	 	SPACE
fcis-26857	102	60	wolf	wolf	NOUN
fcis-26857	102	61	 	 	SPACE
fcis-26857	102	62	number	number	NOUN
fcis-26857	102	63	,	,	PUNCT
fcis-26857	102	64	  	  	SPACE
fcis-26857	102	65	iterations	iteration	NOUN
fcis-26857	102	66	,	,	PUNCT
fcis-26857	102	67	 	 	SPACE
fcis-26857	102	68	etc	etc	X
fcis-26857	102	69	.	.	X
fcis-26857	102	70	)	)	PUNCT
fcis-26857	103	1	testing	testing	NOUN
fcis-26857	103	2	 	 	SPACE
fcis-26857	103	3	and	and	CCONJ
fcis-26857	103	4	  	  	SPACE
fcis-26857	103	5	validation	validation	NOUN
fcis-26857	103	6	  	  	SPACE
fcis-26857	103	7	set	set	VERB
fcis-26857	103	8	gwo‐lstm	gwo‐lstm	PROPN
fcis-26857	103	9	predict	predict	VERB
fcis-26857	103	10	 	 	SPACE
fcis-26857	103	11	datamodel	datamodel	NOUN
fcis-26857	103	12	 	 	SPACE
fcis-26857	103	13	evaluation	evaluation	NOUN
fcis-26857	103	14	fig	fig	NOUN
fcis-26857	103	15	6	6	NUM
fcis-26857	103	16	.	.	PUNCT
fcis-26857	104	1	modelling	model	VERB
fcis-26857	104	2	idea	idea	NOUN
fcis-26857	104	3	diagram	diagram	PROPN
fcis-26857	104	4	5.1	5.1	NUM
fcis-26857	104	5	.	.	PUNCT
fcis-26857	105	1	grey	grey	PROPN
fcis-26857	105	2	wolf	wolf	PROPN
fcis-26857	105	3	algorithm	algorithm	PROPN
fcis-26857	105	4	(	(	PUNCT
fcis-26857	105	5	gwo	gwo	PROPN
fcis-26857	105	6	)	)	PUNCT
fcis-26857	105	7	5.1.1	5.1.1	NOUN
fcis-26857	105	8	.	.	PUNCT
fcis-26857	105	9	algorithmic	algorithmic	ADJ
fcis-26857	105	10	thinking	thinking	NOUN
fcis-26857	105	11	in	in	ADP
fcis-26857	105	12	natural	natural	ADJ
fcis-26857	105	13	societies	society	NOUN
fcis-26857	105	14	,	,	PUNCT
fcis-26857	105	15	wolves	wolf	NOUN
fcis-26857	105	16	belong	belong	VERB
fcis-26857	105	17	to	to	ADP
fcis-26857	105	18	packs	pack	NOUN
fcis-26857	105	19	and	and	CCONJ
fcis-26857	105	20	are	be	AUX
fcis-26857	105	21	at	at	ADP
fcis-26857	105	22	the	the	DET
fcis-26857	105	23	top	top	NOUN
fcis-26857	105	24	of	of	ADP
fcis-26857	105	25	the	the	DET
fcis-26857	105	26	food	food	NOUN
fcis-26857	105	27	chain	chain	NOUN
fcis-26857	105	28	.	.	PUNCT
fcis-26857	106	1	grey	grey	ADJ
fcis-26857	106	2	wolves	wolf	NOUN
fcis-26857	106	3	strictly	strictly	ADV
fcis-26857	106	4	adhere	adhere	VERB
fcis-26857	106	5	to	to	ADP
fcis-26857	106	6	a	a	DET
fcis-26857	106	7	hierarchy	hierarchy	NOUN
fcis-26857	106	8	of	of	ADP
fcis-26857	106	9	social	social	ADJ
fcis-26857	106	10	dominance[1	dominance[1	PROPN
fcis-26857	106	11	]	]	X
fcis-26857	106	12	the	the	DET
fcis-26857	106	13	grey	grey	PROPN
fcis-26857	106	14	wolf	wolf	PROPN
fcis-26857	106	15	strictly	strictly	ADV
fcis-26857	106	16	adheres	adhere	VERB
fcis-26857	106	17	to	to	ADP
fcis-26857	106	18	a	a	DET
fcis-26857	106	19	hierarchy	hierarchy	NOUN
fcis-26857	106	20	of	of	ADP
fcis-26857	106	21	social	social	ADJ
fcis-26857	106	22	dominance	dominance	NOUN
fcis-26857	106	23	.	.	PUNCT
fcis-26857	107	1	alpha	alpha	PROPN
fcis-26857	107	2	wolf	wolf	PROPN
fcis-26857	107	3	:	:	PUNCT
fcis-26857	107	4	the	the	DET
fcis-26857	107	5	alpha	alpha	ADJ
fcis-26857	107	6	wolf	wolf	NOUN
fcis-26857	107	7	,	,	PUNCT
fcis-26857	107	8	responsible	responsible	ADJ
fcis-26857	107	9	for	for	ADP
fcis-26857	107	10	making	make	VERB
fcis-26857	107	11	decisions	decision	NOUN
fcis-26857	107	12	and	and	CCONJ
fcis-26857	107	13	leading	lead	VERB
fcis-26857	107	14	the	the	DET
fcis-26857	107	15	hunt	hunt	NOUN
fcis-26857	107	16	.	.	PUNCT
fcis-26857	108	1	beta	beta	ADJ
fcis-26857	108	2	wolves	wolf	NOUN
fcis-26857	108	3	:	:	PUNCT
fcis-26857	108	4	aids	aid	VERB
fcis-26857	108	5	alpha	alpha	NOUN
fcis-26857	108	6	wolves	wolf	NOUN
fcis-26857	108	7	in	in	ADP
fcis-26857	108	8	decision	decision	NOUN
fcis-26857	108	9	making	making	NOUN
fcis-26857	108	10	,	,	PUNCT
fcis-26857	108	11	maintains	maintain	VERB
fcis-26857	108	12	order	order	NOUN
fcis-26857	108	13	in	in	ADP
fcis-26857	108	14	the	the	DET
fcis-26857	108	15	pack	pack	NOUN
fcis-26857	108	16	,	,	PUNCT
fcis-26857	108	17	and	and	CCONJ
fcis-26857	108	18	can	can	AUX
fcis-26857	108	19	replace	replace	VERB
fcis-26857	108	20	alpha	alpha	ADJ
fcis-26857	108	21	wolves	wolf	NOUN
fcis-26857	108	22	.	.	PUNCT
fcis-26857	109	1	δ	δ	NOUN
fcis-26857	109	2	wolves	wolf	NOUN
fcis-26857	109	3	:	:	PUNCT
fcis-26857	109	4	obey	obey	VERB
fcis-26857	109	5	α	α	PRON
fcis-26857	109	6	wolves	wolf	NOUN
fcis-26857	109	7	and	and	CCONJ
fcis-26857	109	8	β	β	NOUN
fcis-26857	109	9	wolves	wolf	NOUN
fcis-26857	109	10	,	,	PUNCT
fcis-26857	109	11	but	but	CCONJ
fcis-26857	109	12	rule	rule	VERB
fcis-26857	109	13	over	over	ADP
fcis-26857	109	14	ω	ω	NUM
fcis-26857	109	15	wolves	wolf	NOUN
fcis-26857	109	16	.	.	PUNCT
fcis-26857	110	1	ω	ω	NUM
fcis-26857	110	2	wolf	wolf	PROPN
fcis-26857	110	3	:	:	PUNCT
fcis-26857	110	4	the	the	DET
fcis-26857	110	5	lowest	lowest	ADV
fcis-26857	110	6	ranking	ranking	ADJ
fcis-26857	110	7	wolf	wolf	NOUN
fcis-26857	110	8	,	,	PUNCT
fcis-26857	110	9	responsible	responsible	ADJ
fcis-26857	110	10	for	for	ADP
fcis-26857	110	11	obedience	obedience	NOUN
fcis-26857	110	12	and	and	CCONJ
fcis-26857	110	13	giving	give	VERB
fcis-26857	110	14	information	information	NOUN
fcis-26857	110	15	to	to	ADP
fcis-26857	110	16	the	the	DET
fcis-26857	110	17	pack	pack	NOUN
fcis-26857	110	18	as	as	ADP
fcis-26857	110	19	a	a	DET
fcis-26857	110	20	whole	whole	NOUN
fcis-26857	110	21	.	.	PUNCT
fcis-26857	111	1	5.1.2	5.1.2	X
fcis-26857	111	2	.	.	PUNCT
fcis-26857	111	3	algorithm	algorithm	NOUN
fcis-26857	111	4	implementation	implementation	NOUN
fcis-26857	111	5	steps	step	NOUN
fcis-26857	111	6	initialise	initialise	NOUN
fcis-26857	111	7	group	group	NOUN
fcis-26857	111	8	:	:	PUNCT
fcis-26857	111	9	randomly	randomly	ADV
fcis-26857	111	10	initialise	initialise	VERB
fcis-26857	111	11	the	the	DET
fcis-26857	111	12	location	location	NOUN
fcis-26857	111	13	of	of	ADP
fcis-26857	111	14	the	the	DET
fcis-26857	111	15	grey	grey	ADJ
fcis-26857	111	16	wolf	wolf	PROPN
fcis-26857	111	17	group	group	NOUN
fcis-26857	111	18	.	.	PUNCT
fcis-26857	112	1	evaluating	evaluate	VERB
fcis-26857	112	2	fitness	fitness	NOUN
fcis-26857	112	3	:	:	PUNCT
fcis-26857	112	4	each	each	DET
fcis-26857	112	5	grey	grey	ADJ
fcis-26857	112	6	wolf	wolf	PROPN
fcis-26857	112	7	's	's	PART
fcis-26857	112	8	fitness	fitness	NOUN
fcis-26857	112	9	was	be	AUX
fcis-26857	112	10	evaluated	evaluate	VERB
fcis-26857	112	11	according	accord	VERB
fcis-26857	112	12	to	to	ADP
fcis-26857	112	13	the	the	DET
fcis-26857	112	14	objective	objective	ADJ
fcis-26857	112	15	function	function	NOUN
fcis-26857	112	16	and	and	CCONJ
fcis-26857	112	17	α	α	NOUN
fcis-26857	112	18	,	,	PUNCT
fcis-26857	112	19	β	β	X
fcis-26857	112	20	and	and	CCONJ
fcis-26857	112	21	δ	δ	PROPN
fcis-26857	112	22	wolves	wolf	NOUN
fcis-26857	112	23	were	be	AUX
fcis-26857	112	24	identified	identify	VERB
fcis-26857	112	25	.	.	PUNCT
fcis-26857	113	1	update	update	NOUN
fcis-26857	113	2	position	position	NOUN
fcis-26857	113	3	:	:	PUNCT
fcis-26857	113	4	update	update	VERB
fcis-26857	113	5	the	the	DET
fcis-26857	113	6	position	position	NOUN
fcis-26857	113	7	of	of	ADP
fcis-26857	113	8	each	each	DET
fcis-26857	113	9	grey	grey	ADJ
fcis-26857	113	10	wolf	wolf	PROPN
fcis-26857	113	11	based	base	VERB
fcis-26857	113	12	on	on	ADP
fcis-26857	113	13	its	its	PRON
fcis-26857	113	14	behaviour	behaviour	NOUN
fcis-26857	113	15	in	in	ADP
fcis-26857	113	16	rounding	round	VERB
fcis-26857	113	17	up	up	ADP
fcis-26857	113	18	prey	prey	NOUN
fcis-26857	113	19	as	as	SCONJ
fcis-26857	113	20	follows	follow	VERB
fcis-26857	113	21	:	:	PUNCT
fcis-26857	113	22	(	(	PUNCT
fcis-26857	113	23	1	1	X
fcis-26857	113	24	)	)	PUNCT
fcis-26857	113	25	rounding	round	VERB
fcis-26857	113	26	up	up	ADP
fcis-26857	113	27	prey	prey	NOUN
fcis-26857	113	28	:	:	PUNCT
fcis-26857	113	29	11	11	NUM
fcis-26857	113	30	(	(	PUNCT
fcis-26857	113	31	3	3	NUM
fcis-26857	113	32	)	)	PUNCT
fcis-26857	113	33	where	where	SCONJ
fcis-26857	113	34	:	:	PUNCT
fcis-26857	113	35	is	be	AUX
fcis-26857	113	36	the	the	DET
fcis-26857	113	37	current	current	ADJ
fcis-26857	113	38	iteration	iteration	NOUN
fcis-26857	113	39	number	number	NOUN
fcis-26857	113	40	.	.	PUNCT
fcis-26857	114	1	denotes	denote	VERB
fcis-26857	114	2	the	the	DET
fcis-26857	114	3	multiplication	multiplication	NOUN
fcis-26857	114	4	operation	operation	NOUN
fcis-26857	114	5	;	;	PUNCT
fcis-26857	114	6	a	a	PRON
fcis-26857	114	7	and	and	CCONJ
fcis-26857	114	8	c	c	PROPN
fcis-26857	114	9	are	be	AUX
fcis-26857	114	10	coefficient	coefficient	ADJ
fcis-26857	114	11	vectors	vector	NOUN
fcis-26857	114	12	;	;	PUNCT
fcis-26857	114	13	xp	xp	ADV
fcis-26857	114	14	denotes	denote	VERB
fcis-26857	114	15	the	the	DET
fcis-26857	114	16	position	position	NOUN
fcis-26857	114	17	vector	vector	NOUN
fcis-26857	114	18	of	of	ADP
fcis-26857	114	19	the	the	DET
fcis-26857	114	20	prey	prey	NOUN
fcis-26857	114	21	;	;	PUNCT
fcis-26857	114	22	x(t	x(t	PROPN
fcis-26857	114	23	)	)	PUNCT
fcis-26857	114	24	denotes	denote	VERB
fcis-26857	114	25	the	the	DET
fcis-26857	114	26	current	current	ADJ
fcis-26857	114	27	position	position	NOUN
fcis-26857	114	28	vector	vector	NOUN
fcis-26857	114	29	of	of	ADP
fcis-26857	114	30	the	the	DET
fcis-26857	114	31	grey	grey	ADJ
fcis-26857	114	32	wolf	wolf	NOUN
fcis-26857	114	33	;	;	PUNCT
fcis-26857	114	34	a	a	DET
fcis-26857	114	35	decreases	decrease	NOUN
fcis-26857	114	36	linearly	linearly	ADV
fcis-26857	114	37	from	from	ADP
fcis-26857	114	38	2	2	NUM
fcis-26857	114	39	to	to	ADP
fcis-26857	114	40	0	0	NUM
fcis-26857	114	41	throughout	throughout	ADP
fcis-26857	114	42	the	the	DET
fcis-26857	114	43	iteration	iteration	NOUN
fcis-26857	114	44	;	;	PUNCT
fcis-26857	114	45	r1	r1	PROPN
fcis-26857	114	46	and	and	CCONJ
fcis-26857	114	47	r2	r2	PROPN
fcis-26857	114	48	are	be	AUX
fcis-26857	114	49	random	random	ADJ
fcis-26857	114	50	vectors	vector	NOUN
fcis-26857	114	51	in	in	ADP
fcis-26857	114	52	[	[	X
fcis-26857	114	53	0	0	NUM
fcis-26857	114	54	,	,	PUNCT
fcis-26857	114	55	1].[1	1].[1	NUM
fcis-26857	114	56	]	]	PUNCT
fcis-26857	114	57	.	.	PUNCT
fcis-26857	115	1	(	(	PUNCT
fcis-26857	115	2	2	2	X
fcis-26857	115	3	)	)	PUNCT
fcis-26857	115	4	hunting	hunting	NOUN
fcis-26857	115	5	:	:	PUNCT
fcis-26857	115	6	grey	grey	ADJ
fcis-26857	115	7	wolves	wolf	NOUN
fcis-26857	115	8	have	have	VERB
fcis-26857	115	9	the	the	DET
fcis-26857	115	10	ability	ability	NOUN
fcis-26857	115	11	to	to	PART
fcis-26857	115	12	identify	identify	VERB
fcis-26857	115	13	the	the	DET
fcis-26857	115	14	location	location	NOUN
fcis-26857	115	15	of	of	ADP
fcis-26857	115	16	potential	potential	ADJ
fcis-26857	115	17	prey	prey	NOUN
fcis-26857	115	18	(	(	PUNCT
fcis-26857	115	19	optimal	optimal	ADJ
fcis-26857	115	20	solution	solution	NOUN
fcis-26857	115	21	)	)	PUNCT
fcis-26857	115	22	,	,	PUNCT
fcis-26857	115	23	and	and	CCONJ
fcis-26857	115	24	the	the	DET
fcis-26857	115	25	search	search	NOUN
fcis-26857	115	26	process	process	NOUN
fcis-26857	115	27	is	be	AUX
fcis-26857	115	28	mainly	mainly	ADV
fcis-26857	115	29	completed	complete	VERB
fcis-26857	115	30	by	by	ADP
fcis-26857	115	31	the	the	DET
fcis-26857	115	32	guidance	guidance	NOUN
fcis-26857	115	33	of	of	ADP
fcis-26857	115	34	,	,	PUNCT
fcis-26857	115	35	,	,	PUNCT
fcis-26857	115	36	grey	grey	ADJ
fcis-26857	115	37	wolves	wolf	NOUN
fcis-26857	115	38	.	.	PUNCT
fcis-26857	116	1	however	however	ADV
fcis-26857	116	2	,	,	PUNCT
fcis-26857	116	3	the	the	DET
fcis-26857	116	4	solution	solution	NOUN
fcis-26857	116	5	space	space	NOUN
fcis-26857	116	6	characteristics	characteristic	NOUN
fcis-26857	116	7	of	of	ADP
fcis-26857	116	8	many	many	ADJ
fcis-26857	116	9	problems	problem	NOUN
fcis-26857	116	10	are	be	AUX
fcis-26857	116	11	unknown	unknown	ADJ
fcis-26857	116	12	,	,	PUNCT
fcis-26857	116	13	and	and	CCONJ
fcis-26857	116	14	the	the	DET
fcis-26857	116	15	grey	grey	ADJ
fcis-26857	116	16	wolf	wolf	NOUN
fcis-26857	116	17	is	be	AUX
fcis-26857	116	18	unable	unable	ADJ
fcis-26857	116	19	to	to	PART
fcis-26857	116	20	determine	determine	VERB
fcis-26857	116	21	the	the	DET
fcis-26857	116	22	exact	exact	ADJ
fcis-26857	116	23	location	location	NOUN
fcis-26857	116	24	of	of	ADP
fcis-26857	116	25	the	the	DET
fcis-26857	116	26	prey	prey	NOUN
fcis-26857	116	27	(	(	PUNCT
fcis-26857	116	28	optimal	optimal	ADJ
fcis-26857	116	29	solution	solution	NOUN
fcis-26857	116	30	)	)	PUNCT
fcis-26857	116	31	.	.	PUNCT
fcis-26857	117	1	in	in	ADP
fcis-26857	117	2	order	order	NOUN
fcis-26857	117	3	to	to	PART
fcis-26857	117	4	simulate	simulate	VERB
fcis-26857	117	5	the	the	DET
fcis-26857	117	6	searching	search	VERB
fcis-26857	117	7	behaviour	behaviour	NOUN
fcis-26857	117	8	of	of	ADP
fcis-26857	117	9	grey	grey	ADJ
fcis-26857	117	10	wolves	wolf	NOUN
fcis-26857	117	11	(	(	PUNCT
fcis-26857	117	12	candidate	candidate	NOUN
fcis-26857	117	13	solutions	solution	NOUN
fcis-26857	117	14	)	)	PUNCT
fcis-26857	117	15	,	,	PUNCT
fcis-26857	117	16	it	it	PRON
fcis-26857	117	17	is	be	AUX
fcis-26857	117	18	assumed	assume	VERB
fcis-26857	117	19	that	that	SCONJ
fcis-26857	117	20	the	the	DET
fcis-26857	117	21	grey	grey	ADJ
fcis-26857	117	22	wolves	wolf	NOUN
fcis-26857	117	23	,	,	PUNCT
fcis-26857	117	24	,	,	PUNCT
fcis-26857	117	25	have	have	VERB
fcis-26857	117	26	a	a	DET
fcis-26857	117	27	strong	strong	ADJ
fcis-26857	117	28	ability	ability	NOUN
fcis-26857	117	29	to	to	PART
fcis-26857	117	30	identify	identify	VERB
fcis-26857	117	31	the	the	DET
fcis-26857	117	32	location	location	NOUN
fcis-26857	117	33	of	of	ADP
fcis-26857	117	34	potential	potential	ADJ
fcis-26857	117	35	prey	prey	NOUN
fcis-26857	117	36	.	.	PUNCT
fcis-26857	118	1	therefore	therefore	ADV
fcis-26857	118	2	,	,	PUNCT
fcis-26857	118	3	during	during	ADP
fcis-26857	118	4	each	each	DET
fcis-26857	118	5	iteration	iteration	NOUN
fcis-26857	118	6	,	,	PUNCT
fcis-26857	118	7	the	the	DET
fcis-26857	118	8	best	good	ADJ
fcis-26857	118	9	three	three	NUM
fcis-26857	118	10	grey	grey	ADJ
fcis-26857	118	11	wolves	wolf	NOUN
fcis-26857	118	12	in	in	ADP
fcis-26857	118	13	the	the	DET
fcis-26857	118	14	current	current	ADJ
fcis-26857	118	15	population	population	NOUN
fcis-26857	118	16	(	(	PUNCT
fcis-26857	118	17	,	,	PUNCT
fcis-26857	118	18	,	,	PUNCT
fcis-26857	118	19	)	)	PUNCT
fcis-26857	118	20	are	be	AUX
fcis-26857	118	21	retained	retain	VERB
fcis-26857	118	22	,	,	PUNCT
fcis-26857	118	23	and	and	CCONJ
fcis-26857	118	24	then	then	ADV
fcis-26857	118	25	the	the	DET
fcis-26857	118	26	positions	position	NOUN
fcis-26857	118	27	of	of	ADP
fcis-26857	118	28	other	other	ADJ
fcis-26857	118	29	search	search	NOUN
fcis-26857	118	30	agents	agent	NOUN
fcis-26857	118	31	(	(	PUNCT
fcis-26857	118	32	including	include	VERB
fcis-26857	118	33	)	)	PUNCT
fcis-26857	118	34	are	be	AUX
fcis-26857	118	35	updated	update	VERB
fcis-26857	118	36	based	base	VERB
fcis-26857	118	37	on	on	ADP
fcis-26857	118	38	their	their	PRON
fcis-26857	118	39	position	position	NOUN
fcis-26857	118	40	information.[8	information.[8	NOUN
fcis-26857	118	41	]	]	X
fcis-26857	118	42	the	the	DET
fcis-26857	118	43	mathematical	mathematical	ADJ
fcis-26857	118	44	model	model	NOUN
fcis-26857	118	45	of	of	ADP
fcis-26857	118	46	this	this	DET
fcis-26857	118	47	behaviour	behaviour	NOUN
fcis-26857	118	48	can	can	AUX
fcis-26857	118	49	be	be	AUX
fcis-26857	118	50	expressed	express	VERB
fcis-26857	118	51	as	as	SCONJ
fcis-26857	118	52	follows	follow	VERB
fcis-26857	118	53	the	the	DET
fcis-26857	118	54	mathematical	mathematical	ADJ
fcis-26857	118	55	model	model	NOUN
fcis-26857	118	56	of	of	ADP
fcis-26857	118	57	this	this	DET
fcis-26857	118	58	behaviour	behaviour	NOUN
fcis-26857	118	59	can	can	AUX
fcis-26857	118	60	be	be	AUX
fcis-26857	118	61	represented	represent	VERB
fcis-26857	118	62	as	as	SCONJ
fcis-26857	118	63	follows	follow	VERB
fcis-26857	118	64	:	:	PUNCT
fcis-26857	118	65	(	(	PUNCT
fcis-26857	118	66	4	4	X
fcis-26857	118	67	)	)	PUNCT
fcis-26857	118	68	fig	fig	NOUN
fcis-26857	118	69	7	7	NUM
fcis-26857	118	70	.	.	PUNCT
fcis-26857	119	1	the	the	DET
fcis-26857	119	2	grey	grey	PROPN
fcis-26857	119	3	wolf	wolf	PROPN
fcis-26857	119	4	algorithm	algorithm	NOUN
fcis-26857	119	5	process	process	NOUN
fcis-26857	119	6	updating	update	VERB
fcis-26857	119	7	the	the	DET
fcis-26857	119	8	positions	position	NOUN
fcis-26857	119	9	of	of	ADP
fcis-26857	119	10	α	α	PROPN
fcis-26857	119	11	,	,	PUNCT
fcis-26857	119	12	β	β	NOUN
fcis-26857	119	13	,	,	PUNCT
fcis-26857	119	14	and	and	CCONJ
fcis-26857	119	15	δ	δ	PROPN
fcis-26857	119	16	wolves	wolf	NOUN
fcis-26857	119	17	:	:	PUNCT
fcis-26857	119	18	based	base	VERB
fcis-26857	119	19	on	on	ADP
fcis-26857	119	20	the	the	DET
fcis-26857	119	21	new	new	ADJ
fcis-26857	119	22	fitness	fitness	NOUN
fcis-26857	119	23	values	value	NOUN
fcis-26857	119	24	,	,	PUNCT
fcis-26857	119	25	the	the	DET
fcis-26857	119	26	positions	position	NOUN
fcis-26857	119	27	of	of	ADP
fcis-26857	119	28	α	α	PRON
fcis-26857	119	29	wolves	wolf	NOUN
fcis-26857	119	30	,	,	PUNCT
fcis-26857	119	31	β	β	NOUN
fcis-26857	119	32	wolves	wolf	NOUN
fcis-26857	119	33	,	,	PUNCT
fcis-26857	119	34	and	and	CCONJ
fcis-26857	119	35	δ	δ	PROPN
fcis-26857	119	36	wolves	wolf	NOUN
fcis-26857	119	37	are	be	AUX
fcis-26857	119	38	updated	update	VERB
fcis-26857	119	39	.	.	PUNCT
fcis-26857	120	1	and	and	CCONJ
fcis-26857	120	2	repeat	repeat	VERB
fcis-26857	120	3	the	the	DET
fcis-26857	120	4	evaluation	evaluation	NOUN
fcis-26857	120	5	of	of	ADP
fcis-26857	120	6	fitness	fitness	NOUN
fcis-26857	120	7	and	and	CCONJ
fcis-26857	120	8	updating	update	VERB
fcis-26857	120	9	fitness	fitness	NOUN
fcis-26857	120	10	.	.	PUNCT
fcis-26857	121	1	5.2	5.2	NUM
fcis-26857	121	2	.	.	PUNCT
fcis-26857	121	3	lstm	lstm	NOUN
fcis-26857	121	4	model	model	NOUN
fcis-26857	121	5	in	in	ADP
fcis-26857	121	6	this	this	DET
fcis-26857	121	7	paper	paper	NOUN
fcis-26857	121	8	,	,	PUNCT
fcis-26857	121	9	lstm	lstm	NOUN
fcis-26857	121	10	is	be	AUX
fcis-26857	121	11	selected	select	VERB
fcis-26857	121	12	as	as	ADP
fcis-26857	121	13	a	a	DET
fcis-26857	121	14	prediction	prediction	NOUN
fcis-26857	121	15	model	model	NOUN
fcis-26857	121	16	,	,	PUNCT
fcis-26857	121	17	because	because	SCONJ
fcis-26857	121	18	the	the	DET
fcis-26857	121	19	traditional	traditional	ADJ
fcis-26857	121	20	artificial	artificial	ADJ
fcis-26857	121	21	neural	neural	ADJ
fcis-26857	121	22	network	network	NOUN
fcis-26857	121	23	(	(	PUNCT
fcis-26857	121	24	ann	ann	PROPN
fcis-26857	121	25	)	)	PUNCT
fcis-26857	121	26	can	can	AUX
fcis-26857	121	27	not	not	PART
fcis-26857	121	28	effectively	effectively	ADV
fcis-26857	121	29	utilise	utilise	VERB
fcis-26857	121	30	the	the	DET
fcis-26857	121	31	time	time	NOUN
fcis-26857	121	32	-	-	PUNCT
fcis-26857	121	33	series	series	NOUN
fcis-26857	121	34	information	information	NOUN
fcis-26857	121	35	,	,	PUNCT
fcis-26857	121	36	which	which	PRON
fcis-26857	121	37	is	be	AUX
fcis-26857	121	38	especially	especially	ADV
fcis-26857	121	39	obvious	obvious	ADJ
fcis-26857	121	40	in	in	ADP
fcis-26857	121	41	the	the	DET
fcis-26857	121	42	meteorological	meteorological	ADJ
fcis-26857	121	43	field	field	NOUN
fcis-26857	121	44	,	,	PUNCT
fcis-26857	121	45	as	as	SCONJ
fcis-26857	121	46	the	the	DET
fcis-26857	121	47	meteorological	meteorological	ADJ
fcis-26857	121	48	data	datum	NOUN
fcis-26857	121	49	contains	contain	VERB
fcis-26857	121	50	rich	rich	ADJ
fcis-26857	121	51	time	time	NOUN
fcis-26857	121	52	-	-	PUNCT
fcis-26857	121	53	series	series	NOUN
fcis-26857	121	54	information.[9	information.[9	NOUN
fcis-26857	121	55	]	]	PUNCT
fcis-26857	121	56	.	.	PUNCT
fcis-26857	122	1	based	base	VERB
fcis-26857	122	2	on	on	ADP
fcis-26857	122	3	this	this	DET
fcis-26857	122	4	problem	problem	NOUN
fcis-26857	122	5	,	,	PUNCT
fcis-26857	122	6	recurrent	recurrent	ADJ
fcis-26857	122	7	neural	neural	ADJ
fcis-26857	122	8	networks	network	NOUN
fcis-26857	122	9	introduce	introduce	VERB
fcis-26857	122	10	recurrent	recurrent	ADJ
fcis-26857	122	11	connections	connection	NOUN
fcis-26857	122	12	,	,	PUNCT
fcis-26857	122	13	which	which	PRON
fcis-26857	122	14	allow	allow	VERB
fcis-26857	122	15	neurons	neuron	NOUN
fcis-26857	122	16	to	to	PART
fcis-26857	122	17	maintain	maintain	VERB
fcis-26857	122	18	the	the	DET
fcis-26857	122	19	information	information	NOUN
fcis-26857	122	20	from	from	ADP
fcis-26857	122	21	the	the	DET
fcis-26857	122	22	previous	previous	ADJ
fcis-26857	122	23	moment	moment	NOUN
fcis-26857	122	24	and	and	CCONJ
fcis-26857	122	25	pass	pass	VERB
fcis-26857	122	26	it	it	PRON
fcis-26857	122	27	on	on	ADP
fcis-26857	122	28	to	to	ADP
fcis-26857	122	29	the	the	DET
fcis-26857	122	30	subsequent	subsequent	ADJ
fcis-26857	122	31	time	time	NOUN
fcis-26857	122	32	steps	step	NOUN
fcis-26857	122	33	,	,	PUNCT
fcis-26857	122	34	thus	thus	ADV
fcis-26857	122	35	effectively	effectively	ADV
fcis-26857	122	36	handling	handle	VERB
fcis-26857	122	37	time	time	NOUN
fcis-26857	122	38	-	-	PUNCT
fcis-26857	122	39	series	series	NOUN
fcis-26857	122	40	information	information	NOUN
fcis-26857	122	41	.	.	PUNCT
fcis-26857	123	1	rnns	rnn	NOUN
fcis-26857	123	2	perform	perform	VERB
fcis-26857	123	3	well	well	ADV
fcis-26857	123	4	in	in	ADP
fcis-26857	123	5	handling	handle	VERB
fcis-26857	123	6	time	time	NOUN
fcis-26857	123	7	-	-	PUNCT
fcis-26857	123	8	series	series	NOUN
fcis-26857	123	9	data	datum	NOUN
fcis-26857	123	10	and	and	CCONJ
fcis-26857	123	11	have	have	AUX
fcis-26857	123	12	been	be	AUX
fcis-26857	123	13	widely	widely	ADV
fcis-26857	123	14	used	use	VERB
fcis-26857	123	15	in	in	ADP
fcis-26857	123	16	many	many	ADJ
fcis-26857	123	17	fields	field	NOUN
fcis-26857	123	18	.	.	PUNCT
fcis-26857	124	1	the	the	DET
fcis-26857	124	2	gradient	gradient	NOUN
fcis-26857	124	3	vanishing	vanishing	NOUN
fcis-26857	124	4	problem	problem	NOUN
fcis-26857	124	5	has	have	AUX
fcis-26857	124	6	become	become	VERB
fcis-26857	124	7	particularly	particularly	ADV
fcis-26857	124	8	significant	significant	ADJ
fcis-26857	124	9	with	with	ADP
fcis-26857	124	10	the	the	DET
fcis-26857	124	11	intensive	intensive	ADJ
fcis-26857	124	12	study	study	NOUN
fcis-26857	124	13	of	of	ADP
fcis-26857	124	14	recurrent	recurrent	ADJ
fcis-26857	124	15	neural	neural	ADJ
fcis-26857	124	16	networks	network	NOUN
fcis-26857	124	17	(	(	PUNCT
fcis-26857	124	18	rnns	rnns	PROPN
fcis-26857	124	19	)	)	PUNCT
fcis-26857	124	20	.	.	PUNCT
fcis-26857	125	1	this	this	DET
fcis-26857	125	2	problem	problem	NOUN
fcis-26857	125	3	refers	refer	VERB
fcis-26857	125	4	to	to	ADP
fcis-26857	125	5	the	the	DET
fcis-26857	125	6	fact	fact	NOUN
fcis-26857	125	7	that	that	SCONJ
fcis-26857	125	8	as	as	SCONJ
fcis-26857	125	9	the	the	DET
fcis-26857	125	10	network	network	NOUN
fcis-26857	125	11	iterates	iterate	VERB
fcis-26857	125	12	through	through	ADP
fcis-26857	125	13	time	time	NOUN
fcis-26857	125	14	,	,	PUNCT
fcis-26857	125	15	the	the	DET
fcis-26857	125	16	information	information	NOUN
fcis-26857	125	17	in	in	ADP
fcis-26857	125	18	the	the	DET
fcis-26857	125	19	current	current	ADJ
fcis-26857	125	20	situation	situation	NOUN
fcis-26857	125	21	is	be	AUX
fcis-26857	125	22	less	less	ADV
fcis-26857	125	23	affected	affect	VERB
fcis-26857	125	24	by	by	ADP
fcis-26857	125	25	time	time	NOUN
fcis-26857	125	26	,	,	PUNCT
fcis-26857	125	27	or	or	CCONJ
fcis-26857	125	28	even	even	ADV
fcis-26857	125	29	the	the	DET
fcis-26857	125	30	effect	effect	NOUN
fcis-26857	125	31	of	of	ADP
fcis-26857	125	32	time	time	NOUN
fcis-26857	125	33	on	on	ADP
fcis-26857	125	34	that	that	DET
fcis-26857	125	35	time	time	NOUN
fcis-26857	125	36	disappears	disappear	VERB
fcis-26857	125	37	,	,	PUNCT
fcis-26857	125	38	making	make	VERB
fcis-26857	125	39	it	it	PRON
fcis-26857	125	40	difficult	difficult	ADJ
fcis-26857	125	41	for	for	SCONJ
fcis-26857	125	42	the	the	DET
fcis-26857	125	43	network	network	NOUN
fcis-26857	125	44	to	to	PART
fcis-26857	125	45	learn	learn	VERB
fcis-26857	125	46	long	long	ADJ
fcis-26857	125	47	-	-	PUNCT
fcis-26857	125	48	term	term	NOUN
fcis-26857	125	49	dependencies	dependency	NOUN
fcis-26857	125	50	and	and	CCONJ
fcis-26857	125	51	retain	retain	VERB
fcis-26857	125	52	long	long	ADJ
fcis-26857	125	53	-	-	PUNCT
fcis-26857	125	54	term	term	NOUN
fcis-26857	125	55	memories	memory	NOUN
fcis-26857	125	56	effectively	effectively	ADV
fcis-26857	125	57	.	.	PUNCT
fcis-26857	126	1	to	to	PART
fcis-26857	126	2	solve	solve	VERB
fcis-26857	126	3	this	this	DET
fcis-26857	126	4	problem	problem	NOUN
fcis-26857	126	5	,	,	PUNCT
fcis-26857	126	6	researchers	researcher	NOUN
fcis-26857	126	7	have	have	AUX
fcis-26857	126	8	proposed	propose	VERB
fcis-26857	126	9	an	an	DET
fcis-26857	126	10	improved	improved	ADJ
fcis-26857	126	11	rnn	rnn	NOUN
fcis-26857	126	12	structure	structure	NOUN
fcis-26857	126	13	called	call	VERB
fcis-26857	126	14	long	long	ADJ
fcis-26857	126	15	short	short	ADJ
fcis-26857	126	16	-	-	PUNCT
fcis-26857	126	17	term	term	NOUN
fcis-26857	126	18	memory	memory	NOUN
fcis-26857	126	19	(	(	PUNCT
fcis-26857	126	20	lstm).lstm	lstm).lstm	NOUN
fcis-26857	126	21	introduces	introduce	VERB
fcis-26857	126	22	a	a	DET
fcis-26857	126	23	gating	gate	VERB
fcis-26857	126	24	mechanism	mechanism	NOUN
fcis-26857	126	25	,	,	PUNCT
fcis-26857	126	26	which	which	PRON
fcis-26857	126	27	includes	include	VERB
fcis-26857	126	28	a	a	DET
fcis-26857	126	29	forgetting	forget	VERB
fcis-26857	126	30	gate	gate	NOUN
fcis-26857	126	31	(	(	PUNCT
fcis-26857	126	32	forget	forget	VERB
fcis-26857	126	33	-	-	PUNCT
fcis-26857	126	34	date	date	NOUN
fcis-26857	126	35	)	)	PUNCT
fcis-26857	126	36	,	,	PUNCT
fcis-26857	126	37	an	an	DET
fcis-26857	126	38	input	input	NOUN
fcis-26857	126	39	gate	gate	NOUN
fcis-26857	126	40	(	(	PUNCT
fcis-26857	126	41	inputdate	inputdate	PROPN
fcis-26857	126	42	)	)	PUNCT
fcis-26857	126	43	,	,	PUNCT
fcis-26857	126	44	and	and	CCONJ
fcis-26857	126	45	an	an	DET
fcis-26857	126	46	output	output	NOUN
fcis-26857	126	47	gate	gate	NOUN
fcis-26857	126	48	(	(	PUNCT
fcis-26857	126	49	output	output	NOUN
fcis-26857	126	50	-	-	PUNCT
fcis-26857	126	51	date	date	NOUN
fcis-26857	126	52	)	)	PUNCT
fcis-26857	126	53	three	three	NUM
fcis-26857	126	54	parts[10	parts[10	NOUN
fcis-26857	126	55	]	]	PUNCT
fcis-26857	126	56	to	to	PART
fcis-26857	126	57	better	well	ADV
fcis-26857	126	58	control	control	VERB
fcis-26857	126	59	the	the	DET
fcis-26857	126	60	information	information	NOUN
fcis-26857	126	61	flow	flow	NOUN
fcis-26857	126	62	,	,	PUNCT
fcis-26857	126	63	thus	thus	ADV
fcis-26857	126	64	effectively	effectively	ADV
fcis-26857	126	65	solving	solve	VERB
fcis-26857	126	66	the	the	DET
fcis-26857	126	67	gradient	gradient	NOUN
fcis-26857	126	68	vanishing	vanishing	NOUN
fcis-26857	126	69	problem	problem	NOUN
fcis-26857	126	70	and	and	CCONJ
fcis-26857	126	71	enabling	enable	VERB
fcis-26857	126	72	the	the	DET
fcis-26857	126	73	network	network	NOUN
fcis-26857	126	74	to	to	PART
fcis-26857	126	75	learn	learn	VERB
fcis-26857	126	76	and	and	CCONJ
fcis-26857	126	77	maintain	maintain	VERB
fcis-26857	126	78	long	long	ADJ
fcis-26857	126	79	-	-	PUNCT
fcis-26857	126	80	term	term	NOUN
fcis-26857	126	81	dependencies	dependency	NOUN
fcis-26857	126	82	.	.	PUNCT
fcis-26857	127	1	the	the	DET
fcis-26857	127	2	inputs	input	NOUN
fcis-26857	127	3	to	to	ADP
fcis-26857	127	4	the	the	DET
fcis-26857	127	5	gates	gate	NOUN
fcis-26857	127	6	for	for	ADP
fcis-26857	127	7	long	long	ADJ
fcis-26857	127	8	and	and	CCONJ
fcis-26857	127	9	short	short	ADJ
fcis-26857	127	10	-	-	PUNCT
fcis-26857	127	11	term	term	NOUN
fcis-26857	127	12	memory	memory	NOUN
fcis-26857	127	13	are	be	AUX
fcis-26857	127	14	all	all	DET
fcis-26857	127	15	the	the	DET
fcis-26857	127	16	current	current	ADJ
fcis-26857	127	17	time	time	NOUN
fcis-26857	127	18	step	step	NOUN
fcis-26857	127	19	inputs	input	NOUN
fcis-26857	127	20	and	and	CCONJ
fcis-26857	127	21	the	the	DET
fcis-26857	127	22	hidden	hidden	ADJ
fcis-26857	127	23	state	state	NOUN
fcis-26857	127	24	of	of	ADP
fcis-26857	127	25	the	the	DET
fcis-26857	127	26	previous	previous	ADJ
fcis-26857	127	27	time	time	NOUN
fcis-26857	127	28	step	step	NOUN
fcis-26857	127	29	,	,	PUNCT
fcis-26857	127	30	and	and	CCONJ
fcis-26857	127	31	the	the	DET
fcis-26857	127	32	outputs	output	NOUN
fcis-26857	127	33	are	be	AUX
fcis-26857	127	34	computed	compute	VERB
fcis-26857	127	35	by	by	ADP
fcis-26857	127	36	a	a	DET
fcis-26857	127	37	fully	fully	ADV
fcis-26857	127	38	connected	connect	VERB
fcis-26857	127	39	layer	layer	NOUN
fcis-26857	127	40	with	with	ADP
fcis-26857	127	41	an	an	DET
fcis-26857	127	42	activation	activation	NOUN
fcis-26857	127	43	function	function	NOUN
fcis-26857	127	44	that	that	PRON
fcis-26857	127	45	is	be	AUX
fcis-26857	127	46	a	a	DET
fcis-26857	127	47	sigmoid	sigmoid	NOUN
fcis-26857	127	48	function	function	NOUN
fcis-26857	127	49	,	,	PUNCT
fcis-26857	127	50	and	and	CCONJ
fcis-26857	127	51	then	then	ADV
fcis-26857	127	52	all	all	DET
fcis-26857	127	53	three	three	NUM
fcis-26857	127	54	gates	gate	NOUN
fcis-26857	127	55	have	have	VERB
fcis-26857	127	56	a	a	DET
fcis-26857	127	57	value	value	NOUN
fcis-26857	127	58	domain	domain	NOUN
fcis-26857	127	59	of	of	ADP
fcis-26857	127	60	[	[	X
fcis-26857	127	61	0,1].[9	0,1].[9	X
fcis-26857	127	62	]	]	PUNCT
fcis-26857	127	63	.	.	PUNCT
fcis-26857	128	1	specifically	specifically	ADV
fcis-26857	128	2	,	,	PUNCT
fcis-26857	128	3	assume	assume	VERB
fcis-26857	128	4	that	that	SCONJ
fcis-26857	128	5	the	the	DET
fcis-26857	128	6	number	number	NOUN
fcis-26857	128	7	of	of	ADP
fcis-26857	128	8	hidden	hide	VERB
fcis-26857	128	9	cells	cell	NOUN
fcis-26857	128	10	is	be	AUX
fcis-26857	128	11	,	,	PUNCT
fcis-26857	128	12	and	and	CCONJ
fcis-26857	128	13	given	give	VERB
fcis-26857	128	14	a	a	DET
fcis-26857	128	15	small	small	ADJ
fcis-26857	128	16	batch	batch	NOUN
fcis-26857	128	17	of	of	ADP
fcis-26857	128	18	inputs	input	NOUN
fcis-26857	128	19	at	at	ADP
fcis-26857	128	20	time	time	NOUN
fcis-26857	128	21	step	step	NOUN
fcis-26857	128	22	and	and	CCONJ
fcis-26857	128	23	a	a	DET
fcis-26857	128	24	hidden	hidden	ADJ
fcis-26857	128	25	state	state	NOUN
fcis-26857	128	26	at	at	ADP
fcis-26857	128	27	the	the	DET
fcis-26857	128	28	previous	previous	ADJ
fcis-26857	128	29	time	time	NOUN
fcis-26857	128	30	step	step	NOUN
fcis-26857	128	31	.	.	PUNCT
fcis-26857	129	1	the	the	DET
fcis-26857	129	2	input	input	NOUN
fcis-26857	129	3	gate	gate	NOUN
fcis-26857	129	4	,	,	PUNCT
fcis-26857	129	5	the	the	DET
fcis-26857	129	6	forget	forget	NOUN
fcis-26857	129	7	gate	gate	NOUN
fcis-26857	129	8	and	and	CCONJ
fcis-26857	129	9	the	the	DET
fcis-26857	129	10	output	output	NOUN
fcis-26857	129	11	gate	gate	NOUN
fcis-26857	129	12	of	of	ADP
fcis-26857	129	13	the	the	DET
fcis-26857	129	14	time	time	NOUN
fcis-26857	129	15	step	step	NOUN
fcis-26857	129	16	are	be	AUX
fcis-26857	129	17	computed	compute	VERB
fcis-26857	129	18	as	as	ADP
fcis-26857	129	19	follows[11	follows[11	NOUN
fcis-26857	129	20	]	]	PUNCT
fcis-26857	129	21	:	:	PUNCT
fcis-26857	129	22	(	(	PUNCT
fcis-26857	129	23	5	5	NUM
fcis-26857	129	24	)	)	PUNCT
fcis-26857	129	25	(	(	PUNCT
fcis-26857	129	26	6	6	NUM
fcis-26857	129	27	)	)	PUNCT
fcis-26857	129	28	(	(	PUNCT
fcis-26857	129	29	7	7	X
fcis-26857	129	30	)	)	PUNCT
fcis-26857	129	31	fig	fig	NOUN
fcis-26857	129	32	8	8	NUM
fcis-26857	129	33	.	.	PUNCT
fcis-26857	130	1	computation	computation	NOUN
fcis-26857	130	2	of	of	ADP
fcis-26857	130	3	input	input	NOUN
fcis-26857	130	4	,	,	PUNCT
fcis-26857	130	5	forgetting	forget	VERB
fcis-26857	130	6	and	and	CCONJ
fcis-26857	130	7	output	output	NOUN
fcis-26857	130	8	gates	gate	NOUN
fcis-26857	130	9	in	in	ADP
fcis-26857	130	10	long	long	ADJ
fcis-26857	130	11	and	and	CCONJ
fcis-26857	130	12	short	short	ADJ
fcis-26857	130	13	-	-	PUNCT
fcis-26857	130	14	term	term	NOUN
fcis-26857	130	15	memory	memory	NOUN
fcis-26857	130	16	12	12	NUM
fcis-26857	130	17	the	the	DET
fcis-26857	130	18	candidate	candidate	NOUN
fcis-26857	130	19	memory	memory	NOUN
fcis-26857	130	20	cells	cell	NOUN
fcis-26857	130	21	at	at	ADP
fcis-26857	130	22	time	time	NOUN
fcis-26857	130	23	step	step	NOUN
fcis-26857	130	24	are	be	AUX
fcis-26857	130	25	calculated	calculate	VERB
fcis-26857	130	26	as	as	ADP
fcis-26857	130	27	(	(	PUNCT
fcis-26857	130	28	8)	8)	NUM
fcis-26857	130	29	fig	fig	NOUN
fcis-26857	130	30	9	9	NUM
fcis-26857	130	31	.	.	PUNCT
fcis-26857	131	1	how	how	SCONJ
fcis-26857	131	2	to	to	PART
fcis-26857	131	3	count	count	VERB
fcis-26857	131	4	candidate	candidate	NOUN
fcis-26857	131	5	memory	memory	NOUN
fcis-26857	131	6	cells	cell	NOUN
fcis-26857	131	7	in	in	ADP
fcis-26857	131	8	long	long	ADJ
fcis-26857	131	9	short	short	ADJ
fcis-26857	131	10	-	-	PUNCT
fcis-26857	131	11	term	term	NOUN
fcis-26857	131	12	memory	memory	NOUN
fcis-26857	131	13	(	(	PUNCT
fcis-26857	131	14	lstm	lstm	NOUN
fcis-26857	131	15	)	)	PUNCT
fcis-26857	131	16	in	in	ADP
fcis-26857	131	17	the	the	DET
fcis-26857	131	18	memory	memory	NOUN
fcis-26857	131	19	cell	cell	NOUN
fcis-26857	131	20	of	of	ADP
fcis-26857	131	21	a	a	DET
fcis-26857	131	22	recurrent	recurrent	ADJ
fcis-26857	131	23	network	network	NOUN
fcis-26857	131	24	,	,	PUNCT
fcis-26857	131	25	we	we	PRON
fcis-26857	131	26	can	can	AUX
fcis-26857	131	27	also	also	ADV
fcis-26857	131	28	introduce	introduce	VERB
fcis-26857	131	29	element	element	NOUN
fcis-26857	131	30	value	value	NOUN
fcis-26857	131	31	domains	domain	NOUN
fcis-26857	131	32	in	in	ADP
fcis-26857	131	33	the	the	DET
fcis-26857	131	34	positive	positive	ADJ
fcis-26857	131	35	set	set	NOUN
fcis-26857	131	36	of	of	ADP
fcis-26857	131	37	functions	function	NOUN
fcis-26857	131	38	to	to	PART
fcis-26857	131	39	control	control	VERB
fcis-26857	131	40	the	the	DET
fcis-26857	131	41	flow	flow	NOUN
fcis-26857	131	42	of	of	ADP
fcis-26857	131	43	information	information	NOUN
fcis-26857	131	44	in	in	ADP
fcis-26857	131	45	the	the	DET
fcis-26857	131	46	hidden	hidden	ADJ
fcis-26857	131	47	state	state	NOUN
fcis-26857	131	48	by	by	ADP
fcis-26857	131	49	adding	add	VERB
fcis-26857	131	50	gate	gate	NOUN
fcis-26857	131	51	control	control	NOUN
fcis-26857	131	52	cells	cell	NOUN
fcis-26857	131	53	,	,	PUNCT
fcis-26857	131	54	an	an	DET
fcis-26857	131	55	approach	approach	NOUN
fcis-26857	131	56	that	that	PRON
fcis-26857	131	57	is	be	AUX
fcis-26857	131	58	also	also	ADV
fcis-26857	131	59	generally	generally	ADV
fcis-26857	131	60	achieved	achieve	VERB
fcis-26857	131	61	by	by	ADP
fcis-26857	131	62	using	use	VERB
fcis-26857	131	63	per	per	ADP
fcis-26857	131	64	-	-	PUNCT
fcis-26857	131	65	element	element	NOUN
fcis-26857	131	66	multiplication	multiplication	NOUN
fcis-26857	131	67	.	.	PUNCT
fcis-26857	132	1	this	this	PRON
fcis-26857	132	2	can	can	AUX
fcis-26857	132	3	effectively	effectively	ADV
fcis-26857	132	4	control	control	VERB
fcis-26857	132	5	the	the	DET
fcis-26857	132	6	flow	flow	NOUN
fcis-26857	132	7	of	of	ADP
fcis-26857	132	8	information	information	NOUN
fcis-26857	132	9	and	and	CCONJ
fcis-26857	132	10	help	help	VERB
fcis-26857	132	11	the	the	DET
fcis-26857	132	12	network	network	NOUN
fcis-26857	132	13	to	to	PART
fcis-26857	132	14	better	well	ADJ
fcis-26857	132	15	capture	capture	VERB
fcis-26857	132	16	and	and	CCONJ
fcis-26857	132	17	utilise	utilise	VERB
fcis-26857	132	18	temporal	temporal	ADJ
fcis-26857	132	19	information	information	NOUN
fcis-26857	132	20	.	.	PUNCT
fcis-26857	133	1	(	(	PUNCT
fcis-26857	133	2	9	9	X
fcis-26857	133	3	)	)	PUNCT
fcis-26857	133	4	the	the	DET
fcis-26857	133	5	forgetting	forget	VERB
fcis-26857	133	6	gate	gate	NOUN
fcis-26857	133	7	controls	control	VERB
fcis-26857	133	8	whether	whether	SCONJ
fcis-26857	133	9	the	the	DET
fcis-26857	133	10	information	information	NOUN
fcis-26857	133	11	in	in	ADP
fcis-26857	133	12	the	the	DET
fcis-26857	133	13	memory	memory	NOUN
fcis-26857	133	14	cell	cell	NOUN
fcis-26857	133	15	of	of	ADP
fcis-26857	133	16	the	the	DET
fcis-26857	133	17	previous	previous	ADJ
fcis-26857	133	18	time	time	NOUN
fcis-26857	133	19	step	step	NOUN
fcis-26857	133	20	is	be	AUX
fcis-26857	133	21	passed	pass	VERB
fcis-26857	133	22	to	to	ADP
fcis-26857	133	23	the	the	DET
fcis-26857	133	24	current	current	ADJ
fcis-26857	133	25	time	time	NOUN
fcis-26857	133	26	step	step	NOUN
fcis-26857	133	27	,	,	PUNCT
fcis-26857	133	28	while	while	SCONJ
fcis-26857	133	29	the	the	DET
fcis-26857	133	30	input	input	NOUN
fcis-26857	133	31	gate	gate	NOUN
fcis-26857	133	32	controls	control	VERB
fcis-26857	133	33	how	how	SCONJ
fcis-26857	133	34	the	the	DET
fcis-26857	133	35	input	input	NOUN
fcis-26857	133	36	of	of	ADP
fcis-26857	133	37	the	the	DET
fcis-26857	133	38	current	current	ADJ
fcis-26857	133	39	time	time	NOUN
fcis-26857	133	40	step	step	NOUN
fcis-26857	133	41	flows	flow	VERB
fcis-26857	133	42	through	through	ADP
fcis-26857	133	43	the	the	DET
fcis-26857	133	44	candidate	candidate	NOUN
fcis-26857	133	45	memory	memory	NOUN
fcis-26857	133	46	cell	cell	NOUN
fcis-26857	133	47	to	to	ADP
fcis-26857	133	48	the	the	DET
fcis-26857	133	49	memory	memory	NOUN
fcis-26857	133	50	cell	cell	NOUN
fcis-26857	133	51	of	of	ADP
fcis-26857	133	52	the	the	DET
fcis-26857	133	53	current	current	ADJ
fcis-26857	133	54	time	time	NOUN
fcis-26857	133	55	step	step	NOUN
fcis-26857	133	56	.	.	PUNCT
fcis-26857	134	1	if	if	SCONJ
fcis-26857	134	2	the	the	DET
fcis-26857	134	3	forgetting	forget	VERB
fcis-26857	134	4	gate	gate	NOUN
fcis-26857	134	5	is	be	AUX
fcis-26857	134	6	always	always	ADV
fcis-26857	134	7	approximated	approximate	VERB
fcis-26857	134	8	to	to	ADP
fcis-26857	134	9	1	1	NUM
fcis-26857	134	10	and	and	CCONJ
fcis-26857	134	11	the	the	DET
fcis-26857	134	12	input	input	NOUN
fcis-26857	134	13	gate	gate	NOUN
fcis-26857	134	14	is	be	AUX
fcis-26857	134	15	known	know	VERB
fcis-26857	134	16	to	to	PART
fcis-26857	134	17	be	be	AUX
fcis-26857	134	18	approximated	approximate	VERB
fcis-26857	134	19	to	to	ADP
fcis-26857	134	20	0	0	NUM
fcis-26857	134	21	,	,	PUNCT
fcis-26857	134	22	past	past	ADJ
fcis-26857	134	23	memory	memory	NOUN
fcis-26857	134	24	cells	cell	NOUN
fcis-26857	134	25	will	will	AUX
fcis-26857	134	26	always	always	ADV
fcis-26857	134	27	be	be	AUX
fcis-26857	134	28	saved	save	VERB
fcis-26857	134	29	through	through	ADP
fcis-26857	134	30	time	time	NOUN
fcis-26857	134	31	and	and	CCONJ
fcis-26857	134	32	passed	pass	VERB
fcis-26857	134	33	to	to	ADP
fcis-26857	134	34	the	the	DET
fcis-26857	134	35	current	current	ADJ
fcis-26857	134	36	time	time	NOUN
fcis-26857	134	37	step	step	NOUN
fcis-26857	134	38	.	.	PUNCT
fcis-26857	135	1	this	this	DET
fcis-26857	135	2	design	design	NOUN
fcis-26857	135	3	can	can	AUX
fcis-26857	135	4	cope	cope	VERB
fcis-26857	135	5	with	with	ADP
fcis-26857	135	6	the	the	DET
fcis-26857	135	7	gradient	gradient	ADJ
fcis-26857	135	8	decay	decay	NOUN
fcis-26857	135	9	problem	problem	NOUN
fcis-26857	135	10	in	in	ADP
fcis-26857	135	11	recurrent	recurrent	ADJ
fcis-26857	135	12	neural	neural	ADJ
fcis-26857	135	13	networks	network	NOUN
fcis-26857	135	14	and	and	CCONJ
fcis-26857	135	15	better	well	ADJ
fcis-26857	135	16	capture	capture	VERB
fcis-26857	135	17	the	the	DET
fcis-26857	135	18	dependency	dependency	NOUN
fcis-26857	135	19	of	of	ADP
fcis-26857	135	20	large	large	ADJ
fcis-26857	135	21	time	time	NOUN
fcis-26857	135	22	step	step	NOUN
fcis-26857	135	23	distances	distance	NOUN
fcis-26857	135	24	in	in	ADP
fcis-26857	135	25	time	time	NOUN
fcis-26857	135	26	series[12	series[12	PROPN
fcis-26857	135	27	]	]	PUNCT
fcis-26857	135	28	.	.	PUNCT
fcis-26857	136	1	fig	fig	NOUN
fcis-26857	136	2	10	10	NUM
fcis-26857	136	3	.	.	PUNCT
fcis-26857	137	1	memory	memory	NOUN
fcis-26857	137	2	cells	cell	NOUN
fcis-26857	137	3	in	in	ADP
fcis-26857	137	4	the	the	DET
fcis-26857	137	5	lstm	lstm	PROPN
fcis-26857	137	6	model	model	NOUN
fcis-26857	137	7	with	with	ADP
fcis-26857	137	8	the	the	DET
fcis-26857	137	9	memory	memory	NOUN
fcis-26857	137	10	cells	cell	NOUN
fcis-26857	137	11	in	in	ADP
fcis-26857	137	12	place	place	NOUN
fcis-26857	137	13	,	,	PUNCT
fcis-26857	137	14	we	we	PRON
fcis-26857	137	15	can	can	AUX
fcis-26857	137	16	next	next	ADV
fcis-26857	137	17	control	control	VERB
fcis-26857	137	18	the	the	DET
fcis-26857	137	19	flow	flow	NOUN
fcis-26857	137	20	of	of	ADP
fcis-26857	137	21	information	information	NOUN
fcis-26857	137	22	from	from	ADP
fcis-26857	137	23	the	the	DET
fcis-26857	137	24	memory	memory	NOUN
fcis-26857	137	25	cells	cell	NOUN
fcis-26857	137	26	to	to	ADP
fcis-26857	137	27	the	the	DET
fcis-26857	137	28	hidden	hidden	ADJ
fcis-26857	137	29	state	state	NOUN
fcis-26857	137	30	via	via	ADP
fcis-26857	137	31	output	output	NOUN
fcis-26857	137	32	gates	gate	NOUN
fcis-26857	137	33	:	:	PUNCT
fcis-26857	137	34	(	(	PUNCT
fcis-26857	137	35	10	10	NUM
fcis-26857	137	36	)	)	PUNCT
fcis-26857	137	37	the	the	DET
fcis-26857	137	38	function	function	NOUN
fcis-26857	137	39	here	here	ADV
fcis-26857	137	40	ensures	ensure	VERB
fcis-26857	137	41	that	that	SCONJ
fcis-26857	137	42	the	the	DET
fcis-26857	137	43	hidden	hidden	ADJ
fcis-26857	137	44	state	state	NOUN
fcis-26857	137	45	element	element	NOUN
fcis-26857	137	46	value	value	NOUN
fcis-26857	137	47	is	be	AUX
fcis-26857	137	48	always	always	ADV
fcis-26857	137	49	between	between	ADP
fcis-26857	137	50	-1	-1	PUNCT
fcis-26857	137	51	and	and	CCONJ
fcis-26857	137	52	1	1	X
fcis-26857	137	53	.	.	X
fcis-26857	137	54	special	special	ADJ
fcis-26857	137	55	attention	attention	NOUN
fcis-26857	137	56	should	should	AUX
fcis-26857	137	57	be	be	AUX
fcis-26857	137	58	paid	pay	VERB
fcis-26857	137	59	to	to	ADP
fcis-26857	137	60	the	the	DET
fcis-26857	137	61	fact	fact	NOUN
fcis-26857	137	62	that	that	SCONJ
fcis-26857	137	63	when	when	SCONJ
fcis-26857	137	64	the	the	DET
fcis-26857	137	65	value	value	NOUN
fcis-26857	137	66	of	of	ADP
fcis-26857	137	67	the	the	DET
fcis-26857	137	68	output	output	NOUN
fcis-26857	137	69	gate	gate	NOUN
fcis-26857	137	70	tends	tend	VERB
fcis-26857	137	71	to	to	ADP
fcis-26857	137	72	1	1	NUM
fcis-26857	137	73	,	,	PUNCT
fcis-26857	137	74	the	the	DET
fcis-26857	137	75	memory	memory	NOUN
fcis-26857	137	76	cell	cell	NOUN
fcis-26857	137	77	information	information	NOUN
fcis-26857	137	78	at	at	ADP
fcis-26857	137	79	this	this	DET
fcis-26857	137	80	time	time	NOUN
fcis-26857	137	81	will	will	AUX
fcis-26857	137	82	be	be	AUX
fcis-26857	137	83	passed	pass	VERB
fcis-26857	137	84	to	to	ADP
fcis-26857	137	85	the	the	DET
fcis-26857	137	86	hidden	hidden	ADJ
fcis-26857	137	87	state	state	NOUN
fcis-26857	137	88	to	to	PART
fcis-26857	137	89	provide	provide	VERB
fcis-26857	137	90	the	the	DET
fcis-26857	137	91	output	output	NOUN
fcis-26857	137	92	layer	layer	NOUN
fcis-26857	137	93	to	to	PART
fcis-26857	137	94	use	use	VERB
fcis-26857	137	95	;	;	PUNCT
fcis-26857	137	96	when	when	SCONJ
fcis-26857	137	97	the	the	DET
fcis-26857	137	98	value	value	NOUN
fcis-26857	137	99	of	of	ADP
fcis-26857	137	100	the	the	DET
fcis-26857	137	101	output	output	NOUN
fcis-26857	137	102	gate	gate	NOUN
fcis-26857	137	103	tends	tend	VERB
fcis-26857	137	104	to	to	ADP
fcis-26857	137	105	0	0	NUM
fcis-26857	137	106	,	,	PUNCT
fcis-26857	137	107	the	the	DET
fcis-26857	137	108	memory	memory	NOUN
fcis-26857	137	109	cell	cell	NOUN
fcis-26857	137	110	information	information	NOUN
fcis-26857	137	111	at	at	ADP
fcis-26857	137	112	this	this	DET
fcis-26857	137	113	time	time	NOUN
fcis-26857	137	114	will	will	AUX
fcis-26857	137	115	be	be	AUX
fcis-26857	137	116	retained	retain	VERB
fcis-26857	137	117	by	by	ADP
fcis-26857	137	118	itself[12	itself[12	NOUN
fcis-26857	137	119	]	]	PUNCT
fcis-26857	137	120	.	.	PUNCT
fcis-26857	138	1	fig	fig	NOUN
fcis-26857	138	2	11	11	NUM
fcis-26857	138	3	.	.	PUNCT
fcis-26857	139	1	lstm	lstm	NOUN
fcis-26857	139	2	model	model	PROPN
fcis-26857	139	3	hidden	hide	VERB
fcis-26857	139	4	states	state	NOUN
fcis-26857	139	5	then	then	ADV
fcis-26857	139	6	the	the	DET
fcis-26857	139	7	lstm	lstm	NOUN
fcis-26857	139	8	modelling	modelling	NOUN
fcis-26857	139	9	process	process	NOUN
fcis-26857	139	10	in	in	ADP
fcis-26857	139	11	this	this	DET
fcis-26857	139	12	paper	paper	NOUN
fcis-26857	139	13	is	be	AUX
fcis-26857	139	14	as	as	SCONJ
fcis-26857	139	15	follows	follow	VERB
fcis-26857	139	16	:	:	PUNCT
fcis-26857	139	17	calculate	calculate	VERB
fcis-26857	139	18	the	the	DET
fcis-26857	139	19	output	output	NOUN
fcis-26857	139	20	values	value	NOUN
fcis-26857	139	21	of	of	ADP
fcis-26857	139	22	the	the	DET
fcis-26857	139	23	long	long	ADJ
fcis-26857	139	24	short	short	ADJ
fcis-26857	139	25	-	-	PUNCT
fcis-26857	139	26	term	term	NOUN
fcis-26857	139	27	memory	memory	NOUN
fcis-26857	139	28	(	(	PUNCT
fcis-26857	139	29	lstm	lstm	ADJ
fcis-26857	139	30	)	)	PUNCT
fcis-26857	139	31	neural	neural	ADJ
fcis-26857	139	32	network	network	NOUN
fcis-26857	139	33	:	:	PUNCT
fcis-26857	139	34	based	base	VERB
fcis-26857	139	35	on	on	ADP
fcis-26857	139	36	the	the	DET
fcis-26857	139	37	inputs	input	NOUN
fcis-26857	139	38	and	and	CCONJ
fcis-26857	139	39	the	the	DET
fcis-26857	139	40	state	state	NOUN
fcis-26857	139	41	of	of	ADP
fcis-26857	139	42	the	the	DET
fcis-26857	139	43	memory	memory	NOUN
fcis-26857	139	44	cell	cell	NOUN
fcis-26857	139	45	at	at	ADP
fcis-26857	139	46	the	the	DET
fcis-26857	139	47	current	current	ADJ
fcis-26857	139	48	moment	moment	NOUN
fcis-26857	139	49	,	,	PUNCT
fcis-26857	139	50	the	the	DET
fcis-26857	139	51	output	output	NOUN
fcis-26857	139	52	value	value	NOUN
fcis-26857	139	53	at	at	ADP
fcis-26857	139	54	the	the	DET
fcis-26857	139	55	current	current	ADJ
fcis-26857	139	56	moment	moment	NOUN
fcis-26857	139	57	is	be	AUX
fcis-26857	139	58	calculated	calculate	VERB
fcis-26857	139	59	.	.	PUNCT
fcis-26857	140	1	calculating	calculate	VERB
fcis-26857	140	2	an	an	DET
fcis-26857	140	3	error	error	NOUN
fcis-26857	140	4	term	term	NOUN
fcis-26857	140	5	for	for	ADP
fcis-26857	140	6	the	the	DET
fcis-26857	140	7	back	back	ADJ
fcis-26857	140	8	propagation	propagation	NOUN
fcis-26857	140	9	of	of	ADP
fcis-26857	140	10	memory	memory	NOUN
fcis-26857	140	11	cells	cell	NOUN
fcis-26857	140	12	in	in	ADP
fcis-26857	140	13	time	time	NOUN
fcis-26857	140	14	and	and	CCONJ
fcis-26857	140	15	up	up	ADV
fcis-26857	140	16	one	one	NUM
fcis-26857	140	17	level	level	NOUN
fcis-26857	140	18	of	of	ADP
fcis-26857	140	19	the	the	DET
fcis-26857	140	20	network	network	NOUN
fcis-26857	140	21	hierarchy[5	hierarchy[5	PROPN
fcis-26857	140	22	]	]	PUNCT
fcis-26857	140	23	:	:	PUNCT
fcis-26857	140	24	based	base	VERB
fcis-26857	140	25	on	on	ADP
fcis-26857	140	26	the	the	DET
fcis-26857	140	27	output	output	NOUN
fcis-26857	140	28	value	value	NOUN
fcis-26857	140	29	at	at	ADP
fcis-26857	140	30	the	the	DET
fcis-26857	140	31	current	current	ADJ
fcis-26857	140	32	moment	moment	NOUN
fcis-26857	140	33	and	and	CCONJ
fcis-26857	140	34	the	the	DET
fcis-26857	140	35	desired	desire	VERB
fcis-26857	140	36	output	output	NOUN
fcis-26857	140	37	value	value	NOUN
fcis-26857	140	38	,	,	PUNCT
fcis-26857	140	39	the	the	DET
fcis-26857	140	40	error	error	NOUN
fcis-26857	140	41	term	term	NOUN
fcis-26857	140	42	is	be	AUX
fcis-26857	140	43	calculated	calculate	VERB
fcis-26857	140	44	.	.	PUNCT
fcis-26857	141	1	the	the	DET
fcis-26857	141	2	error	error	NOUN
fcis-26857	141	3	term	term	NOUN
fcis-26857	141	4	is	be	AUX
fcis-26857	141	5	then	then	ADV
fcis-26857	141	6	back	back	ADV
fcis-26857	141	7	-	-	PUNCT
fcis-26857	141	8	propagated	propagate	VERB
fcis-26857	141	9	back	back	ADV
fcis-26857	141	10	to	to	ADP
fcis-26857	141	11	the	the	DET
fcis-26857	141	12	upper	upper	ADJ
fcis-26857	141	13	level	level	NOUN
fcis-26857	141	14	of	of	ADP
fcis-26857	141	15	the	the	DET
fcis-26857	141	16	network	network	NOUN
fcis-26857	141	17	and	and	CCONJ
fcis-26857	141	18	error	error	NOUN
fcis-26857	141	19	propagation	propagation	NOUN
fcis-26857	141	20	in	in	ADP
fcis-26857	141	21	the	the	DET
fcis-26857	141	22	time	time	NOUN
fcis-26857	141	23	series	series	NOUN
fcis-26857	141	24	is	be	AUX
fcis-26857	141	25	considered	consider	VERB
fcis-26857	141	26	.	.	PUNCT
fcis-26857	142	1	gradient	gradient	ADJ
fcis-26857	142	2	process	process	NOUN
fcis-26857	142	3	based	base	VERB
fcis-26857	142	4	on	on	ADP
fcis-26857	142	5	error	error	NOUN
fcis-26857	142	6	term	term	NOUN
fcis-26857	142	7	-	-	PUNCT
fcis-26857	142	8	by	by	ADP
fcis-26857	142	9	-	-	PUNCT
fcis-26857	142	10	error	error	NOUN
fcis-26857	142	11	term	term	NOUN
fcis-26857	142	12	calculation	calculation	NOUN
fcis-26857	142	13	of	of	ADP
fcis-26857	142	14	weights	weight	NOUN
fcis-26857	142	15	:	:	PUNCT
fcis-26857	142	16	using	use	VERB
fcis-26857	142	17	the	the	DET
fcis-26857	142	18	error	error	NOUN
fcis-26857	142	19	terms	term	NOUN
fcis-26857	142	20	,	,	PUNCT
fcis-26857	142	21	the	the	DET
fcis-26857	142	22	gradients	gradient	NOUN
fcis-26857	142	23	of	of	ADP
fcis-26857	142	24	each	each	DET
fcis-26857	142	25	parameter	parameter	NOUN
fcis-26857	142	26	(	(	PUNCT
fcis-26857	142	27	e.g.	e.g.	ADV
fcis-26857	142	28	,	,	PUNCT
fcis-26857	142	29	weights	weight	NOUN
fcis-26857	142	30	and	and	CCONJ
fcis-26857	142	31	biases	bias	NOUN
fcis-26857	142	32	)	)	PUNCT
fcis-26857	142	33	in	in	ADP
fcis-26857	142	34	the	the	DET
fcis-26857	142	35	lstm	lstm	NOUN
fcis-26857	142	36	network	network	NOUN
fcis-26857	142	37	are	be	AUX
fcis-26857	142	38	calculated	calculate	VERB
fcis-26857	142	39	one	one	NUM
fcis-26857	142	40	by	by	ADP
fcis-26857	142	41	one	one	NUM
fcis-26857	142	42	.	.	PUNCT
fcis-26857	143	1	these	these	DET
fcis-26857	143	2	gradients	gradient	NOUN
fcis-26857	143	3	reflect	reflect	VERB
fcis-26857	143	4	how	how	SCONJ
fcis-26857	143	5	much	much	ADJ
fcis-26857	143	6	the	the	DET
fcis-26857	143	7	parameters	parameter	NOUN
fcis-26857	143	8	affect	affect	VERB
fcis-26857	143	9	the	the	DET
fcis-26857	143	10	error	error	NOUN
fcis-26857	143	11	and	and	CCONJ
fcis-26857	143	12	can	can	AUX
fcis-26857	143	13	be	be	AUX
fcis-26857	143	14	used	use	VERB
fcis-26857	143	15	to	to	PART
fcis-26857	143	16	adjust	adjust	VERB
fcis-26857	143	17	the	the	DET
fcis-26857	143	18	parameters	parameter	NOUN
fcis-26857	143	19	to	to	PART
fcis-26857	143	20	reduce	reduce	VERB
fcis-26857	143	21	the	the	DET
fcis-26857	143	22	error	error	NOUN
fcis-26857	143	23	.	.	PUNCT
fcis-26857	144	1	based	base	VERB
fcis-26857	144	2	on	on	ADP
fcis-26857	144	3	the	the	DET
fcis-26857	144	4	calculated	calculated	ADJ
fcis-26857	144	5	gradient	gradient	NOUN
fcis-26857	144	6	,	,	PUNCT
fcis-26857	144	7	a	a	DET
fcis-26857	144	8	specific	specific	ADJ
fcis-26857	144	9	gradient	gradient	NOUN
fcis-26857	144	10	optimisation	optimisation	NOUN
fcis-26857	144	11	algorithm	algorithm	NOUN
fcis-26857	144	12	is	be	AUX
fcis-26857	144	13	used	use	VERB
fcis-26857	144	14	to	to	PART
fcis-26857	144	15	update	update	VERB
fcis-26857	144	16	the	the	DET
fcis-26857	144	17	parameters	parameter	NOUN
fcis-26857	144	18	in	in	ADP
fcis-26857	144	19	the	the	DET
fcis-26857	144	20	lstm	lstm	PROPN
fcis-26857	144	21	network	network	NOUN
fcis-26857	144	22	to	to	PART
fcis-26857	144	23	minimise	minimise	VERB
fcis-26857	144	24	the	the	DET
fcis-26857	144	25	error	error	NOUN
fcis-26857	144	26	.	.	PUNCT
fcis-26857	145	1	this	this	DET
fcis-26857	145	2	process	process	NOUN
fcis-26857	145	3	is	be	AUX
fcis-26857	145	4	repeated	repeat	VERB
fcis-26857	145	5	until	until	SCONJ
fcis-26857	145	6	a	a	DET
fcis-26857	145	7	certain	certain	ADJ
fcis-26857	145	8	number	number	NOUN
fcis-26857	145	9	of	of	ADP
fcis-26857	145	10	training	training	NOUN
fcis-26857	145	11	iterations	iteration	NOUN
fcis-26857	145	12	is	be	AUX
fcis-26857	145	13	reached	reach	VERB
fcis-26857	145	14	or	or	CCONJ
fcis-26857	145	15	the	the	DET
fcis-26857	145	16	error	error	NOUN
fcis-26857	145	17	reaches	reach	VERB
fcis-26857	145	18	a	a	DET
fcis-26857	145	19	certain	certain	ADJ
fcis-26857	145	20	level	level	NOUN
fcis-26857	145	21	of	of	ADP
fcis-26857	145	22	convergence	convergence	NOUN
fcis-26857	145	23	.	.	PUNCT
fcis-26857	146	1	5.3	5.3	NUM
fcis-26857	146	2	.	.	PUNCT
fcis-26857	146	3	gwo	gwo	PROPN
fcis-26857	146	4	-	-	PUNCT
fcis-26857	146	5	lstm	lstm	ADJ
fcis-26857	146	6	optimisation	optimisation	NOUN
fcis-26857	146	7	model	model	NOUN
fcis-26857	146	8	the	the	DET
fcis-26857	146	9	gwo	gwo	NOUN
fcis-26857	146	10	used	use	VERB
fcis-26857	146	11	in	in	ADP
fcis-26857	146	12	this	this	DET
fcis-26857	146	13	paper	paper	NOUN
fcis-26857	146	14	,	,	PUNCT
fcis-26857	146	15	optimises	optimise	VERB
fcis-26857	146	16	the	the	DET
fcis-26857	146	17	long	long	ADJ
fcis-26857	146	18	shortterm	shortterm	NOUN
fcis-26857	146	19	memory	memory	NOUN
fcis-26857	146	20	neural	neural	ADJ
fcis-26857	146	21	network	network	NOUN
fcis-26857	146	22	(	(	PUNCT
fcis-26857	146	23	lstm	lstm	PROPN
fcis-26857	146	24	)	)	PUNCT
fcis-26857	146	25	for	for	ADP
fcis-26857	146	26	global	global	ADJ
fcis-26857	146	27	search[1	search[1	ADV
fcis-26857	146	28	]	]	PUNCT
fcis-26857	146	29	.	.	PUNCT
fcis-26857	147	1	the	the	DET
fcis-26857	147	2	specific	specific	ADJ
fcis-26857	147	3	steps	step	NOUN
fcis-26857	147	4	are	be	AUX
fcis-26857	147	5	as	as	SCONJ
fcis-26857	147	6	follows	follow	VERB
fcis-26857	147	7	:	:	PUNCT
fcis-26857	147	8	5.3.1	5.3.1	X
fcis-26857	147	9	.	.	PUNCT
fcis-26857	147	10	model	model	NOUN
fcis-26857	147	11	parameters	parameter	NOUN
fcis-26857	147	12	given	give	VERB
fcis-26857	147	13	the	the	DET
fcis-26857	147	14	number	number	NOUN
fcis-26857	147	15	of	of	ADP
fcis-26857	147	16	data	datum	NOUN
fcis-26857	147	17	sets	set	NOUN
fcis-26857	147	18	in	in	ADP
fcis-26857	147	19	this	this	DET
fcis-26857	147	20	paper	paper	NOUN
fcis-26857	147	21	,	,	PUNCT
fcis-26857	147	22	we	we	PRON
fcis-26857	147	23	are	be	AUX
fcis-26857	147	24	given	give	VERB
fcis-26857	147	25	a	a	DET
fcis-26857	147	26	range	range	NOUN
fcis-26857	147	27	of	of	ADP
fcis-26857	147	28	[	[	X
fcis-26857	147	29	10	10	NUM
fcis-26857	147	30	,	,	PUNCT
fcis-26857	147	31	100	100	NUM
fcis-26857	147	32	]	]	PUNCT
fcis-26857	147	33	for	for	ADP
fcis-26857	147	34	the	the	DET
fcis-26857	147	35	number	number	NOUN
fcis-26857	147	36	of	of	ADP
fcis-26857	147	37	neurons	neuron	NOUN
fcis-26857	147	38	in	in	ADP
fcis-26857	147	39	the	the	DET
fcis-26857	147	40	hidden	hide	VERB
fcis-26857	147	41	layer	layer	NOUN
fcis-26857	147	42	,	,	PUNCT
fcis-26857	147	43	[	[	X
fcis-26857	147	44	0.001	0.001	NUM
fcis-26857	147	45	,	,	PUNCT
fcis-26857	147	46	0.01	0.01	NUM
fcis-26857	147	47	]	]	PUNCT
fcis-26857	147	48	for	for	ADP
fcis-26857	147	49	the	the	DET
fcis-26857	147	50	learning	learning	NOUN
fcis-26857	147	51	rate	rate	NOUN
fcis-26857	147	52	,	,	PUNCT
fcis-26857	147	53	[	[	X
fcis-26857	147	54	10	10	NUM
fcis-26857	147	55	,	,	PUNCT
fcis-26857	147	56	100	100	NUM
fcis-26857	147	57	]	]	PUNCT
fcis-26857	147	58	for	for	ADP
fcis-26857	147	59	the	the	DET
fcis-26857	147	60	number	number	NOUN
fcis-26857	147	61	of	of	ADP
fcis-26857	147	62	trainings	training	NOUN
fcis-26857	147	63	,	,	PUNCT
fcis-26857	147	64	and	and	CCONJ
fcis-26857	147	65	between	between	ADP
fcis-26857	147	66	[	[	X
fcis-26857	147	67	10,100	10,100	NUM
fcis-26857	147	68	]	]	PUNCT
fcis-26857	147	69	iterations	iteration	NOUN
fcis-26857	147	70	.	.	PUNCT
fcis-26857	148	1	5.3.2	5.3.2	X
fcis-26857	148	2	.	.	PUNCT
fcis-26857	148	3	adaptation	adaptation	NOUN
fcis-26857	148	4	function	function	NOUN
fcis-26857	148	5	adjustment	adjustment	NOUN
fcis-26857	148	6	the	the	DET
fcis-26857	148	7	selection	selection	NOUN
fcis-26857	148	8	of	of	ADP
fcis-26857	148	9	the	the	DET
fcis-26857	148	10	fitness	fitness	NOUN
fcis-26857	148	11	function	function	NOUN
fcis-26857	148	12	plays	play	VERB
fcis-26857	148	13	a	a	DET
fcis-26857	148	14	key	key	ADJ
fcis-26857	148	15	role	role	NOUN
fcis-26857	148	16	in	in	ADP
fcis-26857	148	17	the	the	DET
fcis-26857	148	18	performance	performance	NOUN
fcis-26857	148	19	of	of	ADP
fcis-26857	148	20	the	the	DET
fcis-26857	148	21	gwo	gwo	NOUN
fcis-26857	148	22	-	-	PUNCT
fcis-26857	148	23	optimised	optimise	VERB
fcis-26857	148	24	network	network	NOUN
fcis-26857	148	25	,	,	PUNCT
fcis-26857	148	26	which	which	DET
fcis-26857	148	27	directly	directly	ADV
fcis-26857	148	28	13	13	NUM
fcis-26857	148	29	affects	affect	VERB
fcis-26857	148	30	the	the	DET
fcis-26857	148	31	performance	performance	NOUN
fcis-26857	148	32	of	of	ADP
fcis-26857	148	33	the	the	DET
fcis-26857	148	34	model	model	NOUN
fcis-26857	148	35	and	and	CCONJ
fcis-26857	148	36	hence	hence	ADV
fcis-26857	148	37	the	the	DET
fcis-26857	148	38	effectiveness	effectiveness	NOUN
fcis-26857	148	39	of	of	ADP
fcis-26857	148	40	precipitation	precipitation	NOUN
fcis-26857	148	41	extraction	extraction	NOUN
fcis-26857	148	42	.	.	PUNCT
fcis-26857	149	1	in	in	ADP
fcis-26857	149	2	this	this	DET
fcis-26857	149	3	paper	paper	NOUN
fcis-26857	149	4	,	,	PUNCT
fcis-26857	149	5	gwo	gwo	PROPN
fcis-26857	149	6	and	and	CCONJ
fcis-26857	149	7	lstm	lstm	NOUN
fcis-26857	149	8	are	be	AUX
fcis-26857	149	9	integrated	integrate	VERB
fcis-26857	149	10	to	to	PART
fcis-26857	149	11	construct	construct	VERB
fcis-26857	149	12	a	a	DET
fcis-26857	149	13	monthly	monthly	ADJ
fcis-26857	149	14	precipitation	precipitation	NOUN
fcis-26857	149	15	analysis	analysis	NOUN
fcis-26857	149	16	and	and	CCONJ
fcis-26857	149	17	prediction	prediction	NOUN
fcis-26857	149	18	model	model	NOUN
fcis-26857	149	19	for	for	ADP
fcis-26857	149	20	suqian	suqian	ADJ
fcis-26857	149	21	city	city	NOUN
fcis-26857	149	22	based	base	VERB
fcis-26857	149	23	on	on	ADP
fcis-26857	149	24	the	the	DET
fcis-26857	149	25	gwo	gwo	PROPN
fcis-26857	149	26	-	-	PUNCT
fcis-26857	149	27	lstm	lstm	ADJ
fcis-26857	149	28	model	model	NOUN
fcis-26857	149	29	.	.	PUNCT
fcis-26857	150	1	the	the	DET
fcis-26857	150	2	parameters	parameter	NOUN
fcis-26857	150	3	are	be	AUX
fcis-26857	150	4	optimised	optimise	VERB
fcis-26857	150	5	to	to	PART
fcis-26857	150	6	obtain	obtain	VERB
fcis-26857	150	7	a	a	DET
fcis-26857	150	8	new	new	ADJ
fcis-26857	150	9	learning	learning	NOUN
fcis-26857	150	10	rate	rate	NOUN
fcis-26857	150	11	and	and	CCONJ
fcis-26857	150	12	the	the	DET
fcis-26857	150	13	number	number	NOUN
fcis-26857	150	14	of	of	ADP
fcis-26857	150	15	neurons	neuron	NOUN
fcis-26857	150	16	in	in	ADP
fcis-26857	150	17	the	the	DET
fcis-26857	150	18	hidden	hide	VERB
fcis-26857	150	19	layer	layer	NOUN
fcis-26857	150	20	.	.	PUNCT
fcis-26857	151	1	we	we	PRON
fcis-26857	151	2	continuously	continuously	ADV
fcis-26857	151	3	increase	increase	VERB
fcis-26857	151	4	the	the	DET
fcis-26857	151	5	number	number	NOUN
fcis-26857	151	6	of	of	ADP
fcis-26857	151	7	training	training	NOUN
fcis-26857	151	8	times	time	NOUN
fcis-26857	151	9	in	in	ADP
fcis-26857	151	10	the	the	DET
fcis-26857	151	11	expectation	expectation	NOUN
fcis-26857	151	12	of	of	ADP
fcis-26857	151	13	obtaining	obtain	VERB
fcis-26857	151	14	the	the	DET
fcis-26857	151	15	optimal	optimal	ADJ
fcis-26857	151	16	combination	combination	NOUN
fcis-26857	151	17	,	,	PUNCT
fcis-26857	151	18	which	which	PRON
fcis-26857	151	19	further	far	ADV
fcis-26857	151	20	enhances	enhance	VERB
fcis-26857	151	21	the	the	DET
fcis-26857	151	22	model	model	NOUN
fcis-26857	151	23	's	's	PART
fcis-26857	151	24	ability	ability	NOUN
fcis-26857	151	25	to	to	PART
fcis-26857	151	26	deal	deal	VERB
fcis-26857	151	27	with	with	ADP
fcis-26857	151	28	nonlinear	nonlinear	ADJ
fcis-26857	151	29	problems	problem	NOUN
fcis-26857	151	30	.	.	PUNCT
fcis-26857	152	1	the	the	DET
fcis-26857	152	2	optimised	optimise	VERB
fcis-26857	152	3	parameters	parameter	NOUN
fcis-26857	152	4	are	be	AUX
fcis-26857	152	5	then	then	ADV
fcis-26857	152	6	brought	bring	VERB
fcis-26857	152	7	into	into	ADP
fcis-26857	152	8	the	the	DET
fcis-26857	152	9	lstm	lstm	NOUN
fcis-26857	152	10	model	model	NOUN
fcis-26857	152	11	and	and	CCONJ
fcis-26857	152	12	combined	combine	VERB
fcis-26857	152	13	with	with	ADP
fcis-26857	152	14	it	it	PRON
fcis-26857	152	15	to	to	PART
fcis-26857	152	16	predict	predict	VERB
fcis-26857	152	17	the	the	DET
fcis-26857	152	18	future	future	ADJ
fcis-26857	152	19	precipitation	precipitation	NOUN
fcis-26857	152	20	of	of	ADP
fcis-26857	152	21	suqian	suqian	NOUN
fcis-26857	152	22	using	use	VERB
fcis-26857	152	23	the	the	DET
fcis-26857	152	24	model[13	model[13	NOUN
fcis-26857	152	25	]	]	PUNCT
fcis-26857	152	26	.	.	PUNCT
fcis-26857	153	1	fig	fig	NOUN
fcis-26857	153	2	12	12	NUM
fcis-26857	153	3	.	.	PUNCT
fcis-26857	154	1	gwo	gwo	PROPN
fcis-26857	154	2	-	-	PUNCT
fcis-26857	154	3	lstm	lstm	ADJ
fcis-26857	154	4	optimisation	optimisation	NOUN
fcis-26857	154	5	process	process	NOUN
fcis-26857	154	6	6	6	NUM
fcis-26857	154	7	.	.	PUNCT
fcis-26857	155	1	analysis	analysis	NOUN
fcis-26857	155	2	of	of	ADP
fcis-26857	155	3	monthly	monthly	ADJ
fcis-26857	155	4	precipitation	precipitation	NOUN
fcis-26857	155	5	in	in	ADP
fcis-26857	155	6	suqian	suqian	ADJ
fcis-26857	155	7	city	city	NOUN
fcis-26857	155	8	based	base	VERB
fcis-26857	155	9	on	on	ADP
fcis-26857	155	10	gwo	gwo	PROPN
fcis-26857	155	11	-	-	ADJ
fcis-26857	155	12	lstm	lstm	ADJ
fcis-26857	155	13	model	model	NOUN
fcis-26857	155	14	this	this	DET
fcis-26857	155	15	study	study	NOUN
fcis-26857	155	16	is	be	AUX
fcis-26857	155	17	dedicated	dedicate	VERB
fcis-26857	155	18	to	to	ADP
fcis-26857	155	19	exploring	explore	VERB
fcis-26857	155	20	the	the	DET
fcis-26857	155	21	way	way	NOUN
fcis-26857	155	22	to	to	PART
fcis-26857	155	23	combine	combine	VERB
fcis-26857	155	24	the	the	DET
fcis-26857	155	25	coyote	coyote	NOUN
fcis-26857	155	26	optimisation	optimisation	NOUN
fcis-26857	155	27	algorithm	algorithm	NOUN
fcis-26857	155	28	(	(	PUNCT
fcis-26857	155	29	gwo	gwo	PROPN
fcis-26857	155	30	)	)	PUNCT
fcis-26857	155	31	and	and	CCONJ
fcis-26857	155	32	the	the	DET
fcis-26857	155	33	long	long	ADJ
fcis-26857	155	34	shortterm	shortterm	NOUN
fcis-26857	155	35	memory	memory	NOUN
fcis-26857	155	36	(	(	PUNCT
fcis-26857	155	37	lstm	lstm	NOUN
fcis-26857	155	38	)	)	PUNCT
fcis-26857	155	39	network	network	NOUN
fcis-26857	155	40	to	to	PART
fcis-26857	155	41	build	build	VERB
fcis-26857	155	42	a	a	DET
fcis-26857	155	43	gwo	gwo	ADJ
fcis-26857	155	44	-	-	ADJ
fcis-26857	155	45	lstm	lstm	ADJ
fcis-26857	155	46	model	model	NOUN
fcis-26857	155	47	that	that	PRON
fcis-26857	155	48	can	can	AUX
fcis-26857	155	49	be	be	AUX
fcis-26857	155	50	applied	apply	VERB
fcis-26857	155	51	to	to	ADP
fcis-26857	155	52	the	the	DET
fcis-26857	155	53	analysis	analysis	NOUN
fcis-26857	155	54	of	of	ADP
fcis-26857	155	55	monthly	monthly	ADJ
fcis-26857	155	56	precipitation	precipitation	NOUN
fcis-26857	155	57	in	in	ADP
fcis-26857	155	58	suqian	suqian	ADJ
fcis-26857	155	59	city	city	NOUN
fcis-26857	155	60	.	.	PUNCT
fcis-26857	156	1	firstly	firstly	ADV
fcis-26857	156	2	,	,	PUNCT
fcis-26857	156	3	the	the	DET
fcis-26857	156	4	hyperparameters	hyperparameter	NOUN
fcis-26857	156	5	of	of	ADP
fcis-26857	156	6	the	the	DET
fcis-26857	156	7	lstm	lstm	PROPN
fcis-26857	156	8	network	network	NOUN
fcis-26857	156	9	are	be	AUX
fcis-26857	156	10	optimised	optimise	VERB
fcis-26857	156	11	by	by	ADP
fcis-26857	156	12	gwo	gwo	PROPN
fcis-26857	156	13	,	,	PUNCT
fcis-26857	156	14	and	and	CCONJ
fcis-26857	156	15	the	the	DET
fcis-26857	156	16	optimal	optimal	ADJ
fcis-26857	156	17	learning	learning	NOUN
fcis-26857	156	18	rate	rate	NOUN
fcis-26857	156	19	,	,	PUNCT
fcis-26857	156	20	the	the	DET
fcis-26857	156	21	number	number	NOUN
fcis-26857	156	22	of	of	ADP
fcis-26857	156	23	neurons	neuron	NOUN
fcis-26857	156	24	in	in	ADP
fcis-26857	156	25	the	the	DET
fcis-26857	156	26	hidden	hide	VERB
fcis-26857	156	27	layer	layer	NOUN
fcis-26857	156	28	,	,	PUNCT
fcis-26857	156	29	and	and	CCONJ
fcis-26857	156	30	the	the	DET
fcis-26857	156	31	number	number	NOUN
fcis-26857	156	32	of	of	ADP
fcis-26857	156	33	training	training	NOUN
fcis-26857	156	34	times	time	NOUN
fcis-26857	156	35	are	be	AUX
fcis-26857	156	36	specified	specify	VERB
fcis-26857	156	37	to	to	PART
fcis-26857	156	38	improve	improve	VERB
fcis-26857	156	39	the	the	DET
fcis-26857	156	40	nonlinear	nonlinear	ADJ
fcis-26857	156	41	mapping	mapping	NOUN
fcis-26857	156	42	ability	ability	NOUN
fcis-26857	156	43	of	of	ADP
fcis-26857	156	44	the	the	DET
fcis-26857	156	45	model	model	NOUN
fcis-26857	156	46	.	.	PUNCT
fcis-26857	157	1	secondly	secondly	ADV
fcis-26857	157	2	,	,	PUNCT
fcis-26857	157	3	the	the	DET
fcis-26857	157	4	optimised	optimise	VERB
fcis-26857	157	5	parameters	parameter	NOUN
fcis-26857	157	6	are	be	AUX
fcis-26857	157	7	used	use	VERB
fcis-26857	157	8	to	to	PART
fcis-26857	157	9	construct	construct	VERB
fcis-26857	157	10	a	a	DET
fcis-26857	157	11	gwo	gwo	ADJ
fcis-26857	157	12	-	-	PUNCT
fcis-26857	157	13	lstm	lstm	ADJ
fcis-26857	157	14	model	model	NOUN
fcis-26857	157	15	,	,	PUNCT
fcis-26857	157	16	which	which	PRON
fcis-26857	157	17	is	be	AUX
fcis-26857	157	18	used	use	VERB
fcis-26857	157	19	as	as	ADP
fcis-26857	157	20	a	a	DET
fcis-26857	157	21	nonlinear	nonlinear	ADJ
fcis-26857	157	22	transformation	transformation	NOUN
fcis-26857	157	23	function	function	NOUN
fcis-26857	157	24	of	of	ADP
fcis-26857	157	25	the	the	DET
fcis-26857	157	26	monthly	monthly	ADJ
fcis-26857	157	27	precipitation	precipitation	NOUN
fcis-26857	157	28	in	in	ADP
fcis-26857	157	29	suqian	suqian	ADJ
fcis-26857	157	30	city	city	NOUN
fcis-26857	157	31	.	.	PUNCT
fcis-26857	158	1	thirdly	thirdly	ADV
fcis-26857	158	2	,	,	PUNCT
fcis-26857	158	3	the	the	DET
fcis-26857	158	4	gwo	gwo	PROPN
fcis-26857	158	5	-	-	PUNCT
fcis-26857	158	6	lstm	lstm	ADJ
fcis-26857	158	7	model	model	NOUN
fcis-26857	158	8	is	be	AUX
fcis-26857	158	9	used	use	VERB
fcis-26857	158	10	as	as	ADP
fcis-26857	158	11	a	a	DET
fcis-26857	158	12	nonlinear	nonlinear	ADJ
fcis-26857	158	13	transformation	transformation	NOUN
fcis-26857	158	14	function	function	NOUN
fcis-26857	158	15	to	to	PART
fcis-26857	158	16	predict	predict	VERB
fcis-26857	158	17	the	the	DET
fcis-26857	158	18	future	future	ADJ
fcis-26857	158	19	monthly	monthly	ADJ
fcis-26857	158	20	precipitation	precipitation	NOUN
fcis-26857	158	21	of	of	ADP
fcis-26857	158	22	suqian	suqian	ADJ
fcis-26857	158	23	city	city	NOUN
fcis-26857	158	24	,	,	PUNCT
fcis-26857	158	25	and	and	CCONJ
fcis-26857	158	26	the	the	DET
fcis-26857	158	27	optimal	optimal	ADJ
fcis-26857	158	28	prediction	prediction	NOUN
fcis-26857	158	29	results	result	NOUN
fcis-26857	158	30	are	be	AUX
fcis-26857	158	31	obtained	obtain	VERB
fcis-26857	158	32	.	.	PUNCT
fcis-26857	159	1	6.1	6.1	NUM
fcis-26857	159	2	.	.	PUNCT
fcis-26857	159	3	specific	specific	ADJ
fcis-26857	159	4	operational	operational	ADJ
fcis-26857	159	5	procedures	procedure	NOUN
fcis-26857	159	6	for	for	ADP
fcis-26857	159	7	the	the	DET
fcis-26857	159	8	model	model	NOUN
fcis-26857	159	9	in	in	ADP
fcis-26857	159	10	this	this	DET
fcis-26857	159	11	paper	paper	NOUN
fcis-26857	159	12	,	,	PUNCT
fcis-26857	159	13	a	a	DET
fcis-26857	159	14	gwo	gwo	ADJ
fcis-26857	159	15	-	-	ADJ
fcis-26857	159	16	lstm	lstm	ADJ
fcis-26857	159	17	model	model	NOUN
fcis-26857	159	18	is	be	AUX
fcis-26857	159	19	developed	develop	VERB
fcis-26857	159	20	with	with	ADP
fcis-26857	159	21	the	the	DET
fcis-26857	159	22	aim	aim	NOUN
fcis-26857	159	23	of	of	ADP
fcis-26857	159	24	optimising	optimise	VERB
fcis-26857	159	25	the	the	DET
fcis-26857	159	26	parameters	parameter	NOUN
fcis-26857	159	27	of	of	ADP
fcis-26857	159	28	the	the	DET
fcis-26857	159	29	long	long	ADJ
fcis-26857	159	30	short	short	ADJ
fcis-26857	159	31	-	-	PUNCT
fcis-26857	159	32	term	term	NOUN
fcis-26857	159	33	memory	memory	NOUN
fcis-26857	159	34	network	network	NOUN
fcis-26857	159	35	(	(	PUNCT
fcis-26857	159	36	lstm	lstm	PROPN
fcis-26857	159	37	)	)	PUNCT
fcis-26857	159	38	by	by	ADP
fcis-26857	159	39	the	the	DET
fcis-26857	159	40	grey	grey	PROPN
fcis-26857	159	41	wolf	wolf	PROPN
fcis-26857	159	42	optimisation	optimisation	NOUN
fcis-26857	159	43	(	(	PUNCT
fcis-26857	159	44	gwo	gwo	NOUN
fcis-26857	159	45	)	)	PUNCT
fcis-26857	159	46	algorithm	algorithm	NOUN
fcis-26857	159	47	in	in	ADP
fcis-26857	159	48	order	order	NOUN
fcis-26857	159	49	to	to	PART
fcis-26857	159	50	improve	improve	VERB
fcis-26857	159	51	its	its	PRON
fcis-26857	159	52	performance	performance	NOUN
fcis-26857	159	53	in	in	ADP
fcis-26857	159	54	dealing	deal	VERB
fcis-26857	159	55	with	with	ADP
fcis-26857	159	56	nonlinear	nonlinear	ADJ
fcis-26857	159	57	problems	problem	NOUN
fcis-26857	159	58	.	.	PUNCT
fcis-26857	160	1	the	the	DET
fcis-26857	160	2	specific	specific	ADJ
fcis-26857	160	3	steps	step	NOUN
fcis-26857	160	4	are	be	AUX
fcis-26857	160	5	as	as	SCONJ
fcis-26857	160	6	follows	follow	VERB
fcis-26857	160	7	:	:	PUNCT
fcis-26857	160	8	1	1	X
fcis-26857	160	9	.	.	X
fcis-26857	160	10	selection	selection	NOUN
fcis-26857	160	11	of	of	ADP
fcis-26857	160	12	a	a	DET
fcis-26857	160	13	suitable	suitable	ADJ
fcis-26857	160	14	training	training	NOUN
fcis-26857	160	15	dataset	dataset	NOUN
fcis-26857	160	16	in	in	ADP
fcis-26857	160	17	order	order	NOUN
fcis-26857	160	18	to	to	PART
fcis-26857	160	19	ensure	ensure	VERB
fcis-26857	160	20	the	the	DET
fcis-26857	160	21	accuracy	accuracy	NOUN
fcis-26857	160	22	and	and	CCONJ
fcis-26857	160	23	generalisation	generalisation	NOUN
fcis-26857	160	24	ability	ability	NOUN
fcis-26857	160	25	of	of	ADP
fcis-26857	160	26	the	the	DET
fcis-26857	160	27	model	model	NOUN
fcis-26857	160	28	,	,	PUNCT
fcis-26857	160	29	a	a	DET
fcis-26857	160	30	suitable	suitable	ADJ
fcis-26857	160	31	training	training	NOUN
fcis-26857	160	32	dataset	dataset	NOUN
fcis-26857	160	33	is	be	AUX
fcis-26857	160	34	first	first	ADV
fcis-26857	160	35	selected	select	VERB
fcis-26857	160	36	.	.	PUNCT
fcis-26857	161	1	in	in	ADP
fcis-26857	161	2	this	this	DET
fcis-26857	161	3	paper	paper	NOUN
fcis-26857	161	4	,	,	PUNCT
fcis-26857	161	5	the	the	DET
fcis-26857	161	6	monthly	monthly	ADJ
fcis-26857	161	7	precipitation	precipitation	NOUN
fcis-26857	161	8	data	datum	NOUN
fcis-26857	161	9	of	of	ADP
fcis-26857	161	10	suqian	suqian	ADJ
fcis-26857	161	11	city	city	NOUN
fcis-26857	161	12	is	be	AUX
fcis-26857	161	13	selected	select	VERB
fcis-26857	161	14	,	,	PUNCT
fcis-26857	161	15	which	which	PRON
fcis-26857	161	16	has	have	VERB
fcis-26857	161	17	significant	significant	ADJ
fcis-26857	161	18	time	time	NOUN
fcis-26857	161	19	series	series	PROPN
fcis-26857	161	20	characteristics	characteristic	NOUN
fcis-26857	161	21	and	and	CCONJ
fcis-26857	161	22	nonlinear	nonlinear	ADJ
fcis-26857	161	23	variations	variation	NOUN
fcis-26857	161	24	.	.	PUNCT
fcis-26857	162	1	2	2	X
fcis-26857	162	2	.	.	X
fcis-26857	162	3	optimising	optimise	VERB
fcis-26857	162	4	lstm	lstm	ADJ
fcis-26857	162	5	network	network	NOUN
fcis-26857	162	6	parameters	parameter	NOUN
fcis-26857	162	7	using	use	VERB
fcis-26857	162	8	the	the	DET
fcis-26857	162	9	gwo	gwo	PROPN
fcis-26857	162	10	model	model	NOUN
fcis-26857	162	11	in	in	ADP
fcis-26857	162	12	order	order	NOUN
fcis-26857	162	13	to	to	PART
fcis-26857	162	14	enhance	enhance	VERB
fcis-26857	162	15	the	the	DET
fcis-26857	162	16	lstm	lstm	PROPN
fcis-26857	162	17	model	model	NOUN
fcis-26857	162	18	to	to	PART
fcis-26857	162	19	handle	handle	VERB
fcis-26857	162	20	nonlinear	nonlinear	ADJ
fcis-26857	162	21	problems	problem	NOUN
fcis-26857	162	22	,	,	PUNCT
fcis-26857	162	23	we	we	PRON
fcis-26857	162	24	optimise	optimise	VERB
fcis-26857	162	25	the	the	DET
fcis-26857	162	26	hyperparameters	hyperparameter	NOUN
fcis-26857	162	27	of	of	ADP
fcis-26857	162	28	lstm	lstm	NOUN
fcis-26857	162	29	with	with	ADP
fcis-26857	162	30	the	the	DET
fcis-26857	162	31	help	help	NOUN
fcis-26857	162	32	of	of	ADP
fcis-26857	162	33	grey	grey	PROPN
fcis-26857	162	34	wolf	wolf	PROPN
fcis-26857	162	35	optimisation	optimisation	NOUN
fcis-26857	162	36	(	(	PUNCT
fcis-26857	162	37	gwo	gwo	NOUN
fcis-26857	162	38	)	)	PUNCT
fcis-26857	162	39	algorithm	algorithm	NOUN
fcis-26857	162	40	.	.	PUNCT
fcis-26857	163	1	the	the	DET
fcis-26857	163	2	optimised	optimise	VERB
fcis-26857	163	3	parameters	parameter	NOUN
fcis-26857	163	4	include	include	VERB
fcis-26857	163	5	the	the	DET
fcis-26857	163	6	learning	learning	NOUN
fcis-26857	163	7	rate	rate	NOUN
fcis-26857	163	8	,	,	PUNCT
fcis-26857	163	9	the	the	DET
fcis-26857	163	10	number	number	NOUN
fcis-26857	163	11	of	of	ADP
fcis-26857	163	12	hidden	hide	VERB
fcis-26857	163	13	layer	layer	NOUN
fcis-26857	163	14	neurons	neuron	NOUN
fcis-26857	163	15	and	and	CCONJ
fcis-26857	163	16	the	the	DET
fcis-26857	163	17	number	number	NOUN
fcis-26857	163	18	of	of	ADP
fcis-26857	163	19	training	training	NOUN
fcis-26857	163	20	cycles	cycle	NOUN
fcis-26857	163	21	.	.	PUNCT
fcis-26857	164	1	the	the	DET
fcis-26857	164	2	optimal	optimal	ADJ
fcis-26857	164	3	combination	combination	NOUN
fcis-26857	164	4	of	of	ADP
fcis-26857	164	5	these	these	DET
fcis-26857	164	6	parameters	parameter	NOUN
fcis-26857	164	7	can	can	AUX
fcis-26857	164	8	greatly	greatly	ADV
fcis-26857	164	9	improve	improve	VERB
fcis-26857	164	10	the	the	DET
fcis-26857	164	11	prediction	prediction	NOUN
fcis-26857	164	12	accuracy	accuracy	NOUN
fcis-26857	164	13	and	and	CCONJ
fcis-26857	164	14	stability	stability	NOUN
fcis-26857	164	15	of	of	ADP
fcis-26857	164	16	the	the	DET
fcis-26857	164	17	model	model	NOUN
fcis-26857	164	18	.	.	PUNCT
fcis-26857	165	1	3	3	X
fcis-26857	165	2	.	.	X
fcis-26857	165	3	apply	apply	VERB
fcis-26857	165	4	the	the	DET
fcis-26857	165	5	best	good	ADJ
fcis-26857	165	6	parameters	parameter	NOUN
fcis-26857	165	7	derived	derive	VERB
fcis-26857	165	8	from	from	ADP
fcis-26857	165	9	the	the	DET
fcis-26857	165	10	model	model	NOUN
fcis-26857	165	11	to	to	ADP
fcis-26857	165	12	the	the	DET
fcis-26857	165	13	lstm	lstm	NOUN
fcis-26857	165	14	the	the	DET
fcis-26857	165	15	best	good	ADJ
fcis-26857	165	16	combination	combination	NOUN
fcis-26857	165	17	of	of	ADP
fcis-26857	165	18	parameters	parameter	NOUN
fcis-26857	165	19	for	for	ADP
fcis-26857	165	20	the	the	DET
fcis-26857	165	21	lstm	lstm	PROPN
fcis-26857	165	22	model	model	NOUN
fcis-26857	165	23	was	be	AUX
fcis-26857	165	24	obtained	obtain	VERB
fcis-26857	165	25	through	through	ADP
fcis-26857	165	26	the	the	DET
fcis-26857	165	27	gwo	gwo	PROPN
fcis-26857	165	28	optimisation	optimisation	NOUN
fcis-26857	165	29	process	process	NOUN
fcis-26857	165	30	.	.	PUNCT
fcis-26857	166	1	these	these	DET
fcis-26857	166	2	parameters	parameter	NOUN
fcis-26857	166	3	include	include	VERB
fcis-26857	166	4	:	:	PUNCT
fcis-26857	166	5	learning	learn	VERB
fcis-26857	166	6	rate	rate	NOUN
fcis-26857	166	7	,	,	PUNCT
fcis-26857	166	8	number	number	NOUN
fcis-26857	166	9	of	of	ADP
fcis-26857	166	10	hidden	hidden	ADJ
fcis-26857	166	11	neurons	neuron	NOUN
fcis-26857	166	12	and	and	CCONJ
fcis-26857	166	13	number	number	NOUN
fcis-26857	166	14	of	of	ADP
fcis-26857	166	15	training	training	NOUN
fcis-26857	166	16	epochs	epoch	NOUN
fcis-26857	166	17	,	,	PUNCT
fcis-26857	166	18	these	these	DET
fcis-26857	166	19	optimal	optimal	ADJ
fcis-26857	166	20	parameters	parameter	NOUN
fcis-26857	166	21	are	be	AUX
fcis-26857	166	22	applied	apply	VERB
fcis-26857	166	23	to	to	ADP
fcis-26857	166	24	the	the	DET
fcis-26857	166	25	lstm	lstm	PROPN
fcis-26857	166	26	model	model	NOUN
fcis-26857	166	27	for	for	ADP
fcis-26857	166	28	training	training	NOUN
fcis-26857	166	29	.	.	PUNCT
fcis-26857	167	1	4	4	X
fcis-26857	167	2	.	.	X
fcis-26857	167	3	training	training	NOUN
fcis-26857	167	4	models	model	NOUN
fcis-26857	167	5	the	the	DET
fcis-26857	167	6	lstm	lstm	PROPN
fcis-26857	167	7	model	model	NOUN
fcis-26857	167	8	is	be	AUX
fcis-26857	167	9	trained	train	VERB
fcis-26857	167	10	using	use	VERB
fcis-26857	167	11	the	the	DET
fcis-26857	167	12	optimised	optimise	VERB
fcis-26857	167	13	combination	combination	NOUN
fcis-26857	167	14	of	of	ADP
fcis-26857	167	15	parameters	parameter	NOUN
fcis-26857	167	16	.	.	PUNCT
fcis-26857	168	1	during	during	ADP
fcis-26857	168	2	training	training	NOUN
fcis-26857	168	3	,	,	PUNCT
fcis-26857	168	4	the	the	DET
fcis-26857	168	5	model	model	NOUN
fcis-26857	168	6	adjusts	adjust	VERB
fcis-26857	168	7	the	the	DET
fcis-26857	168	8	internal	internal	ADJ
fcis-26857	168	9	weights	weight	NOUN
fcis-26857	168	10	according	accord	VERB
fcis-26857	168	11	to	to	ADP
fcis-26857	168	12	the	the	DET
fcis-26857	168	13	input	input	NOUN
fcis-26857	168	14	data	datum	NOUN
fcis-26857	168	15	to	to	PART
fcis-26857	168	16	minimise	minimise	VERB
fcis-26857	168	17	the	the	DET
fcis-26857	168	18	prediction	prediction	NOUN
fcis-26857	168	19	error	error	NOUN
fcis-26857	168	20	.	.	PUNCT
fcis-26857	169	1	through	through	ADP
fcis-26857	169	2	multiple	multiple	ADJ
fcis-26857	169	3	iterations	iteration	NOUN
fcis-26857	169	4	of	of	ADP
fcis-26857	169	5	training	training	NOUN
fcis-26857	169	6	,	,	PUNCT
fcis-26857	169	7	the	the	DET
fcis-26857	169	8	model	model	NOUN
fcis-26857	169	9	gradually	gradually	ADV
fcis-26857	169	10	converges	converge	VERB
fcis-26857	169	11	to	to	ADP
fcis-26857	169	12	an	an	DET
fcis-26857	169	13	optimal	optimal	ADJ
fcis-26857	169	14	state	state	NOUN
fcis-26857	169	15	.	.	PUNCT
fcis-26857	170	1	5	5	X
fcis-26857	170	2	.	.	X
fcis-26857	170	3	extraction	extraction	NOUN
fcis-26857	170	4	of	of	ADP
fcis-26857	170	5	forecasts	forecast	NOUN
fcis-26857	170	6	of	of	ADP
fcis-26857	170	7	monthly	monthly	ADJ
fcis-26857	170	8	precipitation	precipitation	NOUN
fcis-26857	170	9	in	in	ADP
fcis-26857	170	10	cebu	cebu	NOUN
fcis-26857	170	11	after	after	SCONJ
fcis-26857	170	12	the	the	DET
fcis-26857	170	13	training	training	NOUN
fcis-26857	170	14	is	be	AUX
fcis-26857	170	15	completed	complete	VERB
fcis-26857	170	16	,	,	PUNCT
fcis-26857	170	17	the	the	DET
fcis-26857	170	18	trained	train	VERB
fcis-26857	170	19	lstm	lstm	NOUN
fcis-26857	170	20	model	model	NOUN
fcis-26857	170	21	is	be	AUX
fcis-26857	170	22	used	use	VERB
fcis-26857	170	23	to	to	PART
fcis-26857	170	24	predict	predict	VERB
fcis-26857	170	25	the	the	DET
fcis-26857	170	26	monthly	monthly	ADJ
fcis-26857	170	27	precipitation	precipitation	NOUN
fcis-26857	170	28	in	in	ADP
fcis-26857	170	29	suqian	suqian	ADJ
fcis-26857	170	30	city	city	NOUN
fcis-26857	170	31	.	.	PUNCT
fcis-26857	171	1	the	the	DET
fcis-26857	171	2	performance	performance	NOUN
fcis-26857	171	3	and	and	CCONJ
fcis-26857	171	4	accuracy	accuracy	NOUN
fcis-26857	171	5	of	of	ADP
fcis-26857	171	6	the	the	DET
fcis-26857	171	7	model	model	NOUN
fcis-26857	171	8	can	can	AUX
fcis-26857	171	9	be	be	AUX
fcis-26857	171	10	evaluated	evaluate	VERB
fcis-26857	171	11	by	by	ADP
fcis-26857	171	12	comparing	compare	VERB
fcis-26857	171	13	the	the	DET
fcis-26857	171	14	prediction	prediction	NOUN
fcis-26857	171	15	results	result	NOUN
fcis-26857	171	16	with	with	ADP
fcis-26857	171	17	the	the	DET
fcis-26857	171	18	actual	actual	ADJ
fcis-26857	171	19	data	datum	NOUN
fcis-26857	171	20	.	.	PUNCT
fcis-26857	172	1	the	the	DET
fcis-26857	172	2	above	above	ADJ
fcis-26857	172	3	is	be	AUX
fcis-26857	172	4	the	the	DET
fcis-26857	172	5	optimisation	optimisation	NOUN
fcis-26857	172	6	process	process	NOUN
fcis-26857	172	7	of	of	ADP
fcis-26857	172	8	lstm	lstm	ADJ
fcis-26857	172	9	network	network	NOUN
fcis-26857	172	10	by	by	ADP
fcis-26857	172	11	gwo	gwo	PROPN
fcis-26857	172	12	in	in	ADP
fcis-26857	172	13	this	this	DET
fcis-26857	172	14	paper	paper	NOUN
fcis-26857	172	15	.	.	PUNCT
fcis-26857	173	1	by	by	ADP
fcis-26857	173	2	introducing	introduce	VERB
fcis-26857	173	3	gwo	gwo	NOUN
fcis-26857	173	4	to	to	PART
fcis-26857	173	5	optimise	optimise	VERB
fcis-26857	173	6	the	the	DET
fcis-26857	173	7	parameters	parameter	NOUN
fcis-26857	173	8	of	of	ADP
fcis-26857	173	9	the	the	DET
fcis-26857	173	10	lstm	lstm	PROPN
fcis-26857	173	11	model	model	NOUN
fcis-26857	173	12	,	,	PUNCT
fcis-26857	173	13	we	we	PRON
fcis-26857	173	14	effectively	effectively	ADV
fcis-26857	173	15	improve	improve	VERB
fcis-26857	173	16	the	the	DET
fcis-26857	173	17	14	14	NUM
fcis-26857	173	18	accuracy	accuracy	NOUN
fcis-26857	173	19	and	and	CCONJ
fcis-26857	173	20	stability	stability	NOUN
fcis-26857	173	21	of	of	ADP
fcis-26857	173	22	the	the	DET
fcis-26857	173	23	model	model	NOUN
fcis-26857	173	24	in	in	ADP
fcis-26857	173	25	predicting	predict	VERB
fcis-26857	173	26	the	the	DET
fcis-26857	173	27	monthly	monthly	ADJ
fcis-26857	173	28	precipitation	precipitation	NOUN
fcis-26857	173	29	in	in	ADP
fcis-26857	173	30	suqian	suqian	ADJ
fcis-26857	173	31	city	city	NOUN
fcis-26857	173	32	.	.	PUNCT
fcis-26857	174	1	6.2	6.2	NUM
fcis-26857	174	2	.	.	PUNCT
fcis-26857	174	3	model	model	NOUN
fcis-26857	174	4	summary	summary	NOUN
fcis-26857	174	5	in	in	ADP
fcis-26857	174	6	this	this	DET
fcis-26857	174	7	chapter	chapter	NOUN
fcis-26857	174	8	,	,	PUNCT
fcis-26857	174	9	the	the	DET
fcis-26857	174	10	algorithms	algorithm	NOUN
fcis-26857	174	11	used	use	VERB
fcis-26857	174	12	in	in	ADP
fcis-26857	174	13	this	this	DET
fcis-26857	174	14	study	study	NOUN
fcis-26857	174	15	and	and	CCONJ
fcis-26857	174	16	their	their	PRON
fcis-26857	174	17	optimisation	optimisation	NOUN
fcis-26857	174	18	methods	method	NOUN
fcis-26857	174	19	are	be	AUX
fcis-26857	174	20	described	describe	VERB
fcis-26857	174	21	in	in	ADP
fcis-26857	174	22	detail	detail	NOUN
fcis-26857	174	23	.	.	PUNCT
fcis-26857	175	1	the	the	DET
fcis-26857	175	2	lstm	lstm	NOUN
fcis-26857	175	3	optimised	optimise	VERB
fcis-26857	175	4	by	by	ADP
fcis-26857	175	5	the	the	DET
fcis-26857	175	6	grey	grey	PROPN
fcis-26857	175	7	wolf	wolf	PROPN
fcis-26857	175	8	optimisation	optimisation	NOUN
fcis-26857	175	9	algorithm	algorithm	NOUN
fcis-26857	175	10	used	use	VERB
fcis-26857	175	11	in	in	ADP
fcis-26857	175	12	this	this	DET
fcis-26857	175	13	paper	paper	NOUN
fcis-26857	175	14	,	,	PUNCT
fcis-26857	175	15	we	we	PRON
fcis-26857	175	16	selected	select	VERB
fcis-26857	175	17	the	the	DET
fcis-26857	175	18	optimisation	optimisation	NOUN
fcis-26857	175	19	capability	capability	NOUN
fcis-26857	175	20	of	of	ADP
fcis-26857	175	21	the	the	DET
fcis-26857	175	22	grey	grey	ADJ
fcis-26857	175	23	wolf	wolf	PROPN
fcis-26857	175	24	optimisation	optimisation	NOUN
fcis-26857	175	25	algorithm	algorithm	NOUN
fcis-26857	175	26	and	and	CCONJ
fcis-26857	175	27	the	the	DET
fcis-26857	175	28	temporal	temporal	ADJ
fcis-26857	175	29	processing	processing	NOUN
fcis-26857	175	30	of	of	ADP
fcis-26857	175	31	the	the	DET
fcis-26857	175	32	long	long	ADJ
fcis-26857	175	33	and	and	CCONJ
fcis-26857	175	34	short	short	ADJ
fcis-26857	175	35	term	term	NOUN
fcis-26857	175	36	memory	memory	NOUN
fcis-26857	175	37	model	model	NOUN
fcis-26857	175	38	and	and	CCONJ
fcis-26857	175	39	continuously	continuously	ADV
fcis-26857	175	40	optimised	optimise	VERB
fcis-26857	175	41	it	it	PRON
fcis-26857	175	42	for	for	ADP
fcis-26857	175	43	precipitation	precipitation	NOUN
fcis-26857	175	44	seasonal	seasonal	ADJ
fcis-26857	175	45	forecasting	forecasting	NOUN
fcis-26857	175	46	.	.	PUNCT
fcis-26857	176	1	the	the	DET
fcis-26857	176	2	computational	computational	ADJ
fcis-26857	176	3	process	process	NOUN
fcis-26857	176	4	and	and	CCONJ
fcis-26857	176	5	advantages	advantage	NOUN
fcis-26857	176	6	of	of	ADP
fcis-26857	176	7	these	these	DET
fcis-26857	176	8	methods	method	NOUN
fcis-26857	176	9	are	be	AUX
fcis-26857	176	10	described	describe	VERB
fcis-26857	176	11	in	in	ADP
fcis-26857	176	12	detail	detail	NOUN
fcis-26857	176	13	in	in	ADP
fcis-26857	176	14	this	this	DET
fcis-26857	176	15	paper	paper	NOUN
fcis-26857	176	16	.	.	PUNCT
fcis-26857	177	1	various	various	ADJ
fcis-26857	177	2	algorithms	algorithm	NOUN
fcis-26857	177	3	have	have	AUX
fcis-26857	177	4	been	be	AUX
fcis-26857	177	5	investigated	investigate	VERB
fcis-26857	177	6	to	to	PART
fcis-26857	177	7	better	well	ADV
fcis-26857	177	8	predict	predict	VERB
fcis-26857	177	9	the	the	DET
fcis-26857	177	10	precipitation	precipitation	NOUN
fcis-26857	177	11	season	season	NOUN
fcis-26857	177	12	.	.	PUNCT
fcis-26857	178	1	at	at	ADP
fcis-26857	178	2	the	the	DET
fcis-26857	178	3	beginning	beginning	NOUN
fcis-26857	178	4	,	,	PUNCT
fcis-26857	178	5	we	we	PRON
fcis-26857	178	6	introduce	introduce	VERB
fcis-26857	178	7	the	the	DET
fcis-26857	178	8	grey	grey	ADJ
fcis-26857	178	9	wolf	wolf	PROPN
fcis-26857	178	10	optimization	optimization	NOUN
fcis-26857	178	11	algorithm	algorithm	NOUN
fcis-26857	178	12	,	,	PUNCT
fcis-26857	178	13	a	a	DET
fcis-26857	178	14	mathematical	mathematical	ADJ
fcis-26857	178	15	model	model	NOUN
fcis-26857	178	16	based	base	VERB
fcis-26857	178	17	on	on	ADP
fcis-26857	178	18	grey	grey	ADJ
fcis-26857	178	19	wolves	wolf	NOUN
fcis-26857	178	20	,	,	PUNCT
fcis-26857	178	21	which	which	PRON
fcis-26857	178	22	live	live	VERB
fcis-26857	178	23	in	in	ADP
fcis-26857	178	24	packs	pack	NOUN
fcis-26857	178	25	in	in	ADP
fcis-26857	178	26	nature	nature	NOUN
fcis-26857	178	27	,	,	PUNCT
fcis-26857	178	28	and	and	CCONJ
fcis-26857	178	29	whose	whose	DET
fcis-26857	178	30	predatory	predatory	ADJ
fcis-26857	178	31	abilities	ability	NOUN
fcis-26857	178	32	enable	enable	VERB
fcis-26857	178	33	them	they	PRON
fcis-26857	178	34	to	to	PART
fcis-26857	178	35	find	find	VERB
fcis-26857	178	36	the	the	DET
fcis-26857	178	37	optimal	optimal	ADJ
fcis-26857	178	38	solution	solution	NOUN
fcis-26857	178	39	efficiently	efficiently	ADV
fcis-26857	178	40	.	.	PUNCT
fcis-26857	179	1	secondly	secondly	ADV
fcis-26857	179	2	,	,	PUNCT
fcis-26857	179	3	we	we	PRON
fcis-26857	179	4	introduce	introduce	VERB
fcis-26857	179	5	the	the	DET
fcis-26857	179	6	long	long	ADJ
fcis-26857	179	7	and	and	CCONJ
fcis-26857	179	8	short	short	ADJ
fcis-26857	179	9	-	-	PUNCT
fcis-26857	179	10	term	term	NOUN
fcis-26857	179	11	memory	memory	NOUN
fcis-26857	179	12	neural	neural	ADJ
fcis-26857	179	13	network	network	NOUN
fcis-26857	179	14	,	,	PUNCT
fcis-26857	179	15	which	which	PRON
fcis-26857	179	16	is	be	AUX
fcis-26857	179	17	a	a	DET
fcis-26857	179	18	special	special	ADJ
fcis-26857	179	19	kind	kind	NOUN
fcis-26857	179	20	of	of	ADP
fcis-26857	179	21	recurrent	recurrent	ADJ
fcis-26857	179	22	neural	neural	ADJ
fcis-26857	179	23	network	network	NOUN
fcis-26857	179	24	with	with	ADP
fcis-26857	179	25	strong	strong	ADJ
fcis-26857	179	26	memory	memory	NOUN
fcis-26857	179	27	ability	ability	NOUN
fcis-26857	179	28	,	,	PUNCT
fcis-26857	179	29	which	which	PRON
fcis-26857	179	30	will	will	AUX
fcis-26857	179	31	make	make	VERB
fcis-26857	179	32	our	our	PRON
fcis-26857	179	33	processing	processing	NOUN
fcis-26857	179	34	of	of	ADP
fcis-26857	179	35	temporal	temporal	ADJ
fcis-26857	179	36	sequences	sequence	NOUN
fcis-26857	179	37	more	more	ADV
fcis-26857	179	38	convenient	convenient	ADJ
fcis-26857	179	39	and	and	CCONJ
fcis-26857	179	40	more	more	ADV
fcis-26857	179	41	suitable	suitable	ADJ
fcis-26857	179	42	for	for	ADP
fcis-26857	179	43	processing	processing	NOUN
fcis-26857	179	44	time	time	NOUN
fcis-26857	179	45	series	series	PROPN
fcis-26857	179	46	data	data	PROPN
fcis-26857	179	47	.	.	PUNCT
fcis-26857	180	1	finally	finally	ADV
fcis-26857	180	2	,	,	PUNCT
fcis-26857	180	3	we	we	PRON
fcis-26857	180	4	apply	apply	VERB
fcis-26857	180	5	the	the	DET
fcis-26857	180	6	grey	grey	ADJ
fcis-26857	180	7	wolf	wolf	PROPN
fcis-26857	180	8	optimisation	optimisation	NOUN
fcis-26857	180	9	algorithm	algorithm	NOUN
fcis-26857	180	10	to	to	PART
fcis-26857	180	11	optimise	optimise	VERB
fcis-26857	180	12	the	the	DET
fcis-26857	180	13	hyperparameters	hyperparameter	NOUN
fcis-26857	180	14	of	of	ADP
fcis-26857	180	15	the	the	DET
fcis-26857	180	16	lstm	lstm	PROPN
fcis-26857	180	17	network	network	NOUN
fcis-26857	180	18	,	,	PUNCT
fcis-26857	180	19	which	which	PRON
fcis-26857	180	20	improves	improve	VERB
fcis-26857	180	21	the	the	DET
fcis-26857	180	22	prediction	prediction	NOUN
fcis-26857	180	23	performance	performance	NOUN
fcis-26857	180	24	of	of	ADP
fcis-26857	180	25	the	the	DET
fcis-26857	180	26	model	model	NOUN
fcis-26857	180	27	.	.	PUNCT
fcis-26857	181	1	through	through	ADP
fcis-26857	181	2	the	the	DET
fcis-26857	181	3	study	study	NOUN
fcis-26857	181	4	in	in	ADP
fcis-26857	181	5	this	this	DET
fcis-26857	181	6	chapter	chapter	NOUN
fcis-26857	181	7	,	,	PUNCT
fcis-26857	181	8	we	we	PRON
fcis-26857	181	9	delve	delve	VERB
fcis-26857	181	10	into	into	ADP
fcis-26857	181	11	the	the	DET
fcis-26857	181	12	implementation	implementation	NOUN
fcis-26857	181	13	details	detail	NOUN
fcis-26857	181	14	and	and	CCONJ
fcis-26857	181	15	advantages	advantage	NOUN
fcis-26857	181	16	of	of	ADP
fcis-26857	181	17	these	these	DET
fcis-26857	181	18	algorithms	algorithm	NOUN
fcis-26857	181	19	,	,	PUNCT
fcis-26857	181	20	which	which	PRON
fcis-26857	181	21	provide	provide	VERB
fcis-26857	181	22	important	important	ADJ
fcis-26857	181	23	theoretical	theoretical	ADJ
fcis-26857	181	24	support	support	NOUN
fcis-26857	181	25	and	and	CCONJ
fcis-26857	181	26	methodological	methodological	ADJ
fcis-26857	181	27	guidance	guidance	NOUN
fcis-26857	181	28	for	for	ADP
fcis-26857	181	29	precipitation	precipitation	NOUN
fcis-26857	181	30	season	season	NOUN
fcis-26857	181	31	prediction	prediction	NOUN
fcis-26857	181	32	.	.	PUNCT
fcis-26857	182	1	7	7	X
fcis-26857	182	2	.	.	X
fcis-26857	182	3	precipitation	precipitation	NOUN
fcis-26857	182	4	analysis	analysis	NOUN
fcis-26857	182	5	of	of	ADP
fcis-26857	182	6	suqian	suqian	ADJ
fcis-26857	182	7	city	city	PROPN
fcis-26857	182	8	,	,	PUNCT
fcis-26857	182	9	jiangsu	jiangsu	PROPN
fcis-26857	182	10	province	province	PROPN
fcis-26857	182	11	based	base	VERB
fcis-26857	182	12	on	on	ADP
fcis-26857	182	13	lstm	lstm	PROPN
fcis-26857	182	14	model	model	NOUN
fcis-26857	182	15	7.1	7.1	NUM
fcis-26857	182	16	.	.	PUNCT
fcis-26857	183	1	training	training	NOUN
fcis-26857	183	2	and	and	CCONJ
fcis-26857	183	3	validation	validation	NOUN
fcis-26857	183	4	data	datum	NOUN
fcis-26857	183	5	sets	set	NOUN
fcis-26857	183	6	firstly	firstly	ADV
fcis-26857	183	7	,	,	PUNCT
fcis-26857	183	8	we	we	PRON
fcis-26857	183	9	divided	divide	VERB
fcis-26857	183	10	the	the	DET
fcis-26857	183	11	year	year	NOUN
fcis-26857	183	12	december	december	PROPN
fcis-26857	183	13	into	into	ADP
fcis-26857	183	14	two	two	NUM
fcis-26857	183	15	parts	part	NOUN
fcis-26857	183	16	rainy	rainy	ADJ
fcis-26857	183	17	season	season	NOUN
fcis-26857	183	18	(	(	PUNCT
fcis-26857	183	19	july	july	PROPN
fcis-26857	183	20	-	-	PUNCT
fcis-26857	183	21	september	september	PROPN
fcis-26857	183	22	)	)	PUNCT
fcis-26857	183	23	and	and	CCONJ
fcis-26857	183	24	non	non	ADJ
fcis-26857	183	25	-	-	ADJ
fcis-26857	183	26	rainy	rainy	ADJ
fcis-26857	183	27	season	season	NOUN
fcis-26857	183	28	(	(	PUNCT
fcis-26857	183	29	october	october	PROPN
fcis-26857	183	30	-	-	PUNCT
fcis-26857	183	31	june	june	PROPN
fcis-26857	183	32	)	)	PUNCT
fcis-26857	183	33	based	base	VERB
fcis-26857	183	34	on	on	ADP
fcis-26857	183	35	the	the	DET
fcis-26857	183	36	fact	fact	NOUN
fcis-26857	183	37	that	that	SCONJ
fcis-26857	183	38	the	the	DET
fcis-26857	183	39	dataset	dataset	NOUN
fcis-26857	183	40	has	have	AUX
fcis-26857	183	41	significant	significant	ADJ
fcis-26857	183	42	seasonal	seasonal	ADJ
fcis-26857	183	43	fluctuations	fluctuation	NOUN
fcis-26857	183	44	.	.	PUNCT
fcis-26857	184	1	fig	fig	NOUN
fcis-26857	184	2	13	13	NUM
fcis-26857	184	3	.	.	PUNCT
fcis-26857	185	1	cebu	cebu	NOUN
fcis-26857	185	2	city	city	PROPN
fcis-26857	185	3	2019	2019	NUM
fcis-26857	185	4	-	-	SYM
fcis-26857	185	5	2023	2023	NUM
fcis-26857	185	6	non	non	ADJ
fcis-26857	185	7	-	-	ADJ
fcis-26857	185	8	rainy	rainy	ADJ
fcis-26857	185	9	season	season	NOUN
fcis-26857	185	10	precipitation	precipitation	NOUN
fcis-26857	185	11	lstm	lstm	NOUN
fcis-26857	185	12	models	model	NOUN
fcis-26857	185	13	have	have	VERB
fcis-26857	185	14	a	a	DET
fcis-26857	185	15	strong	strong	ADJ
fcis-26857	185	16	memory	memory	NOUN
fcis-26857	185	17	capability	capability	NOUN
fcis-26857	185	18	to	to	PART
fcis-26857	185	19	better	well	ADV
fcis-26857	185	20	capture	capture	VERB
fcis-26857	185	21	and	and	CCONJ
fcis-26857	185	22	exploit	exploit	VERB
fcis-26857	185	23	long	long	ADJ
fcis-26857	185	24	-	-	PUNCT
fcis-26857	185	25	term	term	NOUN
fcis-26857	185	26	dependencies	dependency	NOUN
fcis-26857	185	27	in	in	ADP
fcis-26857	185	28	sequential	sequential	ADJ
fcis-26857	185	29	data	datum	NOUN
fcis-26857	185	30	,	,	PUNCT
fcis-26857	185	31	and	and	CCONJ
fcis-26857	185	32	therefore	therefore	ADV
fcis-26857	185	33	have	have	VERB
fcis-26857	185	34	a	a	DET
fcis-26857	185	35	significant	significant	ADJ
fcis-26857	185	36	advantage	advantage	NOUN
fcis-26857	185	37	in	in	ADP
fcis-26857	185	38	solving	solve	VERB
fcis-26857	185	39	nonlinear	nonlinear	ADJ
fcis-26857	185	40	problems	problem	NOUN
fcis-26857	185	41	.	.	PUNCT
fcis-26857	186	1	meanwhile	meanwhile	ADV
fcis-26857	186	2	,	,	PUNCT
fcis-26857	186	3	the	the	DET
fcis-26857	186	4	model	model	NOUN
fcis-26857	186	5	performs	perform	VERB
fcis-26857	186	6	well	well	ADV
fcis-26857	186	7	on	on	ADP
fcis-26857	186	8	the	the	DET
fcis-26857	186	9	training	training	NOUN
fcis-26857	186	10	set	set	NOUN
fcis-26857	186	11	.	.	PUNCT
fcis-26857	187	1	however	however	ADV
fcis-26857	187	2	,	,	PUNCT
fcis-26857	187	3	in	in	ADP
fcis-26857	187	4	the	the	DET
fcis-26857	187	5	rainy	rainy	ADJ
fcis-26857	187	6	season	season	NOUN
fcis-26857	187	7	,	,	PUNCT
fcis-26857	187	8	the	the	DET
fcis-26857	187	9	precipitation	precipitation	NOUN
fcis-26857	187	10	in	in	ADP
fcis-26857	187	11	the	the	DET
fcis-26857	187	12	region	region	NOUN
fcis-26857	187	13	is	be	AUX
fcis-26857	187	14	in	in	ADP
fcis-26857	187	15	july	july	PROPN
fcis-26857	187	16	and	and	CCONJ
fcis-26857	187	17	august	august	PROPN
fcis-26857	187	18	,	,	PUNCT
fcis-26857	187	19	reaching	reach	VERB
fcis-26857	187	20	the	the	DET
fcis-26857	187	21	highest	high	ADJ
fcis-26857	187	22	value	value	NOUN
fcis-26857	187	23	,	,	PUNCT
fcis-26857	187	24	due	due	ADP
fcis-26857	187	25	to	to	ADP
fcis-26857	187	26	the	the	DET
fcis-26857	187	27	small	small	ADJ
fcis-26857	187	28	dataset	dataset	NOUN
fcis-26857	187	29	collected	collect	VERB
fcis-26857	187	30	in	in	ADP
fcis-26857	187	31	this	this	DET
fcis-26857	187	32	time	time	NOUN
fcis-26857	187	33	,	,	PUNCT
fcis-26857	187	34	it	it	PRON
fcis-26857	187	35	is	be	AUX
fcis-26857	187	36	not	not	PART
fcis-26857	187	37	possible	possible	ADJ
fcis-26857	187	38	to	to	PART
fcis-26857	187	39	give	give	VERB
fcis-26857	187	40	a	a	DET
fcis-26857	187	41	more	more	ADV
fcis-26857	187	42	accurate	accurate	ADJ
fcis-26857	187	43	value	value	NOUN
fcis-26857	187	44	,	,	PUNCT
fcis-26857	187	45	the	the	DET
fcis-26857	187	46	value	value	NOUN
fcis-26857	187	47	given	give	VERB
fcis-26857	187	48	by	by	ADP
fcis-26857	187	49	this	this	DET
fcis-26857	187	50	model	model	NOUN
fcis-26857	187	51	after	after	ADP
fcis-26857	187	52	training	training	NOUN
fcis-26857	187	53	is	be	AUX
fcis-26857	187	54	more	more	ADV
fcis-26857	187	55	conservative	conservative	ADJ
fcis-26857	187	56	.	.	PUNCT
fcis-26857	188	1	and	and	CCONJ
fcis-26857	188	2	in	in	ADP
fcis-26857	188	3	the	the	DET
fcis-26857	188	4	non	non	ADJ
fcis-26857	188	5	-	-	ADJ
fcis-26857	188	6	rainy	rainy	ADJ
fcis-26857	188	7	season	season	NOUN
fcis-26857	188	8	is	be	AUX
fcis-26857	188	9	relatively	relatively	ADV
fcis-26857	188	10	smooth	smooth	ADJ
fcis-26857	188	11	,	,	PUNCT
fcis-26857	188	12	the	the	DET
fcis-26857	188	13	region	region	NOUN
fcis-26857	188	14	is	be	AUX
fcis-26857	188	15	in	in	ADP
fcis-26857	188	16	the	the	DET
fcis-26857	188	17	subtropical	subtropical	ADJ
fcis-26857	188	18	monsoon	monsoon	NOUN
fcis-26857	188	19	zone	zone	NOUN
fcis-26857	188	20	to	to	ADP
fcis-26857	188	21	the	the	DET
fcis-26857	188	22	temperate	temperate	ADJ
fcis-26857	188	23	monsoon	monsoon	NOUN
fcis-26857	188	24	zone	zone	NOUN
fcis-26857	188	25	transition	transition	NOUN
fcis-26857	188	26	zone	zone	NOUN
fcis-26857	188	27	,	,	PUNCT
fcis-26857	188	28	its	its	PRON
fcis-26857	188	29	influence	influence	NOUN
fcis-26857	188	30	by	by	ADP
fcis-26857	188	31	the	the	DET
fcis-26857	188	32	monsoon	monsoon	NOUN
fcis-26857	188	33	precipitation	precipitation	NOUN
fcis-26857	188	34	has	have	VERB
fcis-26857	188	35	uncertainty	uncertainty	NOUN
fcis-26857	188	36	,	,	PUNCT
fcis-26857	188	37	such	such	ADJ
fcis-26857	188	38	as	as	ADP
fcis-26857	188	39	the	the	DET
fcis-26857	188	40	model	model	NOUN
fcis-26857	188	41	prediction	prediction	NOUN
fcis-26857	188	42	value	value	NOUN
fcis-26857	188	43	and	and	CCONJ
fcis-26857	188	44	the	the	DET
fcis-26857	188	45	real	real	ADJ
fcis-26857	188	46	value	value	NOUN
fcis-26857	188	47	,	,	PUNCT
fcis-26857	188	48	there	there	PRON
fcis-26857	188	49	is	be	VERB
fcis-26857	188	50	a	a	DET
fcis-26857	188	51	large	large	ADJ
fcis-26857	188	52	error	error	NOUN
fcis-26857	188	53	.	.	PUNCT
fcis-26857	189	1	fig	fig	NOUN
fcis-26857	189	2	14	14	NUM
fcis-26857	189	3	.	.	PUNCT
fcis-26857	190	1	rainy	rainy	ADJ
fcis-26857	190	2	season	season	NOUN
fcis-26857	190	3	precipitation	precipitation	NOUN
fcis-26857	190	4	in	in	ADP
fcis-26857	190	5	cebu	cebu	NOUN
fcis-26857	190	6	city	city	NOUN
fcis-26857	190	7	,	,	PUNCT
fcis-26857	190	8	2019	2019	NUM
fcis-26857	190	9	-	-	SYM
fcis-26857	190	10	2023	2023	NUM
fcis-26857	190	11	fig	fig	NOUN
fcis-26857	190	12	15	15	NUM
fcis-26857	190	13	.	.	PUNCT
fcis-26857	191	1	lstm	lstm	ADJ
fcis-26857	191	2	predictive	predictive	ADJ
fcis-26857	191	3	value	value	NOUN
fcis-26857	191	4	training	training	NOUN
fcis-26857	191	5	fit	fit	ADJ
fcis-26857	191	6	7.2	7.2	NUM
fcis-26857	191	7	.	.	PUNCT
fcis-26857	192	1	performance	performance	NOUN
fcis-26857	192	2	evaluation	evaluation	NOUN
fcis-26857	192	3	indicators	indicator	NOUN
fcis-26857	192	4	two	two	NUM
fcis-26857	192	5	models	model	NOUN
fcis-26857	192	6	are	be	AUX
fcis-26857	192	7	constructed	construct	VERB
fcis-26857	192	8	in	in	ADP
fcis-26857	192	9	this	this	DET
fcis-26857	192	10	paper	paper	NOUN
fcis-26857	192	11	,	,	PUNCT
fcis-26857	192	12	the	the	DET
fcis-26857	192	13	long	long	ADJ
fcis-26857	192	14	short	short	ADJ
fcis-26857	192	15	term	term	NOUN
fcis-26857	192	16	memory	memory	NOUN
fcis-26857	192	17	neural	neural	ADJ
fcis-26857	192	18	network	network	NOUN
fcis-26857	192	19	(	(	PUNCT
fcis-26857	192	20	lstm	lstm	NOUN
fcis-26857	192	21	)	)	PUNCT
fcis-26857	192	22	model	model	NOUN
fcis-26857	192	23	and	and	CCONJ
fcis-26857	192	24	the	the	DET
fcis-26857	192	25	grey	grey	ADJ
fcis-26857	192	26	wolf	wolf	PROPN
fcis-26857	192	27	optimisation	optimisation	NOUN
fcis-26857	192	28	algorithm	algorithm	NOUN
fcis-26857	192	29	based	base	VERB
fcis-26857	192	30	long	long	ADJ
fcis-26857	192	31	short	short	ADJ
fcis-26857	192	32	-	-	PUNCT
fcis-26857	192	33	term	term	NOUN
fcis-26857	192	34	memory	memory	NOUN
fcis-26857	192	35	neural	neural	ADJ
fcis-26857	192	36	network	network	NOUN
fcis-26857	192	37	(	(	PUNCT
fcis-26857	192	38	gwo	gwo	NOUN
fcis-26857	192	39	-	-	PUNCT
fcis-26857	192	40	lstm	lstm	ADJ
fcis-26857	192	41	)	)	PUNCT
fcis-26857	192	42	model	model	NOUN
fcis-26857	192	43	.	.	PUNCT
fcis-26857	193	1	these	these	DET
fcis-26857	193	2	two	two	NUM
fcis-26857	193	3	models	model	NOUN
fcis-26857	193	4	were	be	AUX
fcis-26857	193	5	used	use	VERB
fcis-26857	193	6	for	for	ADP
fcis-26857	193	7	adaptation	adaptation	NOUN
fcis-26857	193	8	operations	operation	NOUN
fcis-26857	193	9	on	on	ADP
fcis-26857	193	10	training	training	NOUN
fcis-26857	193	11	data	datum	NOUN
fcis-26857	193	12	and	and	CCONJ
fcis-26857	193	13	test	test	NOUN
fcis-26857	193	14	data	datum	NOUN
fcis-26857	193	15	respectively	respectively	ADV
fcis-26857	193	16	,	,	PUNCT
fcis-26857	193	17	and	and	CCONJ
fcis-26857	193	18	the	the	DET
fcis-26857	193	19	predictive	predictive	ADJ
fcis-26857	193	20	performance	performance	NOUN
fcis-26857	193	21	of	of	ADP
fcis-26857	193	22	the	the	DET
fcis-26857	193	23	models	model	NOUN
fcis-26857	193	24	was	be	AUX
fcis-26857	193	25	measured	measure	VERB
fcis-26857	193	26	by	by	ADP
fcis-26857	193	27	comparing	compare	VERB
fcis-26857	193	28	their	their	PRON
fcis-26857	193	29	results	result	NOUN
fcis-26857	193	30	against	against	ADP
fcis-26857	193	31	each	each	DET
fcis-26857	193	32	other	other	ADJ
fcis-26857	193	33	.	.	PUNCT
fcis-26857	194	1	this	this	DET
fcis-26857	194	2	paper	paper	NOUN
fcis-26857	194	3	employs	employ	VERB
fcis-26857	194	4	the	the	DET
fcis-26857	194	5	following	follow	VERB
fcis-26857	194	6	means	mean	NOUN
fcis-26857	194	7	to	to	PART
fcis-26857	194	8	determine	determine	VERB
fcis-26857	194	9	the	the	DET
fcis-26857	194	10	degree	degree	NOUN
fcis-26857	194	11	of	of	ADP
fcis-26857	194	12	model	model	NOUN
fcis-26857	194	13	fitness	fitness	PROPN
fcis-26857	194	14	.	.	PUNCT
fcis-26857	195	1	root	root	NOUN
fcis-26857	195	2	mean	mean	VERB
fcis-26857	195	3	square	square	ADJ
fcis-26857	195	4	error	error	NOUN
fcis-26857	195	5	(	(	PUNCT
fcis-26857	195	6	rmse	rmse	NOUN
fcis-26857	195	7	)	)	PUNCT
fcis-26857	195	8	(	(	PUNCT
fcis-26857	195	9	11	11	NUM
fcis-26857	195	10	)	)	PUNCT
fcis-26857	195	11	mean	mean	VERB
fcis-26857	196	1	absolute	absolute	ADJ
fcis-26857	196	2	percentage	percentage	NOUN
fcis-26857	196	3	error	error	NOUN
fcis-26857	196	4	(	(	PUNCT
fcis-26857	196	5	mean	mean	ADJ
fcis-26857	196	6	absolute	absolute	ADJ
fcis-26857	196	7	error	error	NOUN
fcis-26857	196	8	)	)	PUNCT
fcis-26857	196	9	(	(	PUNCT
fcis-26857	196	10	12	12	NUM
fcis-26857	196	11	)	)	SYM
fcis-26857	196	12	15	15	NUM
fcis-26857	196	13	table	table	NOUN
fcis-26857	196	14	4	4	NUM
fcis-26857	196	15	.	.	PUNCT
fcis-26857	196	16	error	error	NOUN
fcis-26857	196	17	values	value	NOUN
fcis-26857	196	18	for	for	ADP
fcis-26857	196	19	lstm	lstm	ADJ
fcis-26857	196	20	rainy	rainy	ADJ
fcis-26857	196	21	and	and	CCONJ
fcis-26857	196	22	non	non	ADJ
fcis-26857	196	23	-	-	ADJ
fcis-26857	196	24	rainy	rainy	ADJ
fcis-26857	196	25	seasons	season	NOUN
fcis-26857	196	26	rmse	rmse	PROPN
fcis-26857	196	27	mae	mae	PROPN
fcis-26857	196	28	lstm	lstm	PROPN
fcis-26857	196	29	rainy	rainy	ADJ
fcis-26857	196	30	season	season	NOUN
fcis-26857	196	31	fitting	fit	VERB
fcis-26857	196	32	79.28649858	79.28649858	NUM
fcis-26857	196	33	61.39871118	61.39871118	NUM
fcis-26857	196	34	lstm	lstm	ADJ
fcis-26857	196	35	nonrainy	nonrainy	NOUN
fcis-26857	196	36	season	season	NOUN
fcis-26857	196	37	fitting	fit	VERB
fcis-26857	196	38	27.90861496	27.90861496	NUM
fcis-26857	196	39	5.538797209	5.538797209	NUM
fcis-26857	196	40	8	8	NUM
fcis-26857	196	41	.	.	PUNCT
fcis-26857	197	1	combining	combine	VERB
fcis-26857	197	2	the	the	DET
fcis-26857	197	3	gwo	gwo	NOUN
fcis-26857	197	4	-	-	PUNCT
fcis-26857	197	5	lstm	lstm	ADJ
fcis-26857	197	6	model	model	NOUN
fcis-26857	197	7	8.1	8.1	NUM
fcis-26857	197	8	.	.	PUNCT
fcis-26857	198	1	empirical	empirical	ADJ
fcis-26857	198	2	analysis	analysis	NOUN
fcis-26857	198	3	of	of	ADP
fcis-26857	198	4	the	the	DET
fcis-26857	198	5	model	model	NOUN
fcis-26857	198	6	fig	fig	PROPN
fcis-26857	198	7	16	16	NUM
fcis-26857	198	8	.	.	PUNCT
fcis-26857	199	1	gwo	gwo	PROPN
fcis-26857	199	2	-	-	PUNCT
fcis-26857	199	3	lstm	lstm	PROPN
fcis-26857	199	4	predicted	predict	VERB
fcis-26857	199	5	values	value	NOUN
fcis-26857	199	6	the	the	DET
fcis-26857	199	7	optimised	optimise	VERB
fcis-26857	199	8	lstm	lstm	NOUN
fcis-26857	199	9	model	model	NOUN
fcis-26857	199	10	after	after	SCONJ
fcis-26857	199	11	the	the	DET
fcis-26857	199	12	gwo	gwo	PROPN
fcis-26857	199	13	model	model	PROPN
fcis-26857	199	14	effectively	effectively	ADV
fcis-26857	199	15	compensates	compensate	VERB
fcis-26857	199	16	for	for	ADP
fcis-26857	199	17	the	the	DET
fcis-26857	199	18	shortcomings	shortcoming	NOUN
fcis-26857	199	19	of	of	ADP
fcis-26857	199	20	this	this	DET
fcis-26857	199	21	dataset	dataset	NOUN
fcis-26857	199	22	and	and	CCONJ
fcis-26857	199	23	gives	give	VERB
fcis-26857	199	24	a	a	DET
fcis-26857	199	25	more	more	ADV
fcis-26857	199	26	accurate	accurate	ADJ
fcis-26857	199	27	rainy	rainy	ADJ
fcis-26857	199	28	season	season	NOUN
fcis-26857	199	29	prediction	prediction	NOUN
fcis-26857	199	30	,	,	PUNCT
fcis-26857	199	31	with	with	ADP
fcis-26857	199	32	trends	trend	NOUN
fcis-26857	199	33	and	and	CCONJ
fcis-26857	199	34	precipitation	precipitation	NOUN
fcis-26857	199	35	values	value	NOUN
fcis-26857	199	36	roughly	roughly	ADV
fcis-26857	199	37	similar	similar	ADJ
fcis-26857	199	38	to	to	ADP
fcis-26857	199	39	the	the	DET
fcis-26857	199	40	true	true	ADJ
fcis-26857	199	41	values	value	NOUN
fcis-26857	199	42	.	.	PUNCT
fcis-26857	200	1	its	its	PRON
fcis-26857	200	2	error	error	NOUN
fcis-26857	200	3	is	be	AUX
fcis-26857	200	4	significantly	significantly	ADV
fcis-26857	200	5	improved	improve	VERB
fcis-26857	200	6	compared	compare	VERB
fcis-26857	200	7	to	to	ADP
fcis-26857	200	8	the	the	DET
fcis-26857	200	9	preoptimisation	preoptimisation	NOUN
fcis-26857	200	10	period	period	NOUN
fcis-26857	200	11	.	.	PUNCT
fcis-26857	201	1	however	however	ADV
fcis-26857	201	2	,	,	PUNCT
fcis-26857	201	3	given	give	VERB
fcis-26857	201	4	the	the	DET
fcis-26857	201	5	small	small	ADJ
fcis-26857	201	6	dataset	dataset	NOUN
fcis-26857	201	7	this	this	DET
fcis-26857	201	8	time	time	NOUN
fcis-26857	201	9	,	,	PUNCT
fcis-26857	201	10	the	the	DET
fcis-26857	201	11	predictions	prediction	NOUN
fcis-26857	201	12	for	for	ADP
fcis-26857	201	13	the	the	DET
fcis-26857	201	14	non	non	ADJ
fcis-26857	201	15	-	-	ADJ
fcis-26857	201	16	rainy	rainy	ADJ
fcis-26857	201	17	season	season	NOUN
fcis-26857	201	18	,	,	PUNCT
fcis-26857	201	19	have	have	VERB
fcis-26857	201	20	a	a	DET
fcis-26857	201	21	greater	great	ADJ
fcis-26857	201	22	sense	sense	NOUN
fcis-26857	201	23	of	of	ADP
fcis-26857	201	24	fluctuation	fluctuation	NOUN
fcis-26857	201	25	from	from	ADP
fcis-26857	201	26	the	the	DET
fcis-26857	201	27	true	true	ADJ
fcis-26857	201	28	values	value	NOUN
fcis-26857	201	29	,	,	PUNCT
fcis-26857	201	30	such	such	ADJ
fcis-26857	201	31	as	as	ADP
fcis-26857	201	32	february	february	PROPN
fcis-26857	201	33	,	,	PUNCT
fcis-26857	201	34	april	april	PROPN
fcis-26857	201	35	,	,	PUNCT
fcis-26857	201	36	and	and	CCONJ
fcis-26857	201	37	november	november	PROPN
fcis-26857	201	38	,	,	PUNCT
fcis-26857	201	39	and	and	CCONJ
fcis-26857	201	40	it	it	PRON
fcis-26857	201	41	is	be	AUX
fcis-26857	201	42	obvious	obvious	ADJ
fcis-26857	201	43	from	from	ADP
fcis-26857	201	44	the	the	DET
fcis-26857	201	45	figure	figure	NOUN
fcis-26857	201	46	that	that	SCONJ
fcis-26857	201	47	there	there	PRON
fcis-26857	201	48	is	be	VERB
fcis-26857	201	49	a	a	DET
fcis-26857	201	50	significant	significant	ADJ
fcis-26857	201	51	discrepancy	discrepancy	NOUN
fcis-26857	201	52	in	in	ADP
fcis-26857	201	53	this	this	DET
fcis-26857	201	54	prediction	prediction	NOUN
fcis-26857	201	55	for	for	ADP
fcis-26857	201	56	the	the	DET
fcis-26857	201	57	non	non	ADJ
fcis-26857	201	58	-	-	ADJ
fcis-26857	201	59	rainy	rainy	ADJ
fcis-26857	201	60	season	season	NOUN
fcis-26857	201	61	.	.	PUNCT
fcis-26857	202	1	8.2	8.2	NUM
fcis-26857	202	2	.	.	PUNCT
fcis-26857	202	3	analysis	analysis	NOUN
fcis-26857	202	4	of	of	ADP
fcis-26857	202	5	model	model	NOUN
fcis-26857	202	6	results	result	NOUN
fcis-26857	202	7	table	table	VERB
fcis-26857	202	8	5	5	NUM
fcis-26857	202	9	.	.	PUNCT
fcis-26857	203	1	values	value	NOUN
fcis-26857	203	2	after	after	ADP
fcis-26857	203	3	gwo	gwo	PROPN
fcis-26857	203	4	optimisation	optimisation	PROPN
fcis-26857	203	5	rmse	rmse	PROPN
fcis-26857	203	6	mae	mae	PROPN
fcis-26857	203	7	optimised	optimise	VERB
fcis-26857	203	8	rmse	rmse	NOUN
fcis-26857	203	9	optimised	optimise	VERB
fcis-26857	203	10	mae	mae	PROPN
fcis-26857	203	11	gwo	gwo	PROPN
fcis-26857	203	12	-	-	ADJ
fcis-26857	203	13	lstm	lstm	ADJ
fcis-26857	203	14	rainy	rainy	ADJ
fcis-26857	203	15	season	season	NOUN
fcis-26857	203	16	fitting	fit	VERB
fcis-26857	203	17	79.28649858	79.28649858	NUM
fcis-26857	203	18	61.39871118	61.39871118	NUM
fcis-26857	203	19	72.80451213	72.80451213	NUM
fcis-26857	203	20	46.82695069	46.82695069	NUM
fcis-26857	203	21	gwo	gwo	ADJ
fcis-26857	203	22	-	-	PUNCT
fcis-26857	203	23	lstm	lstm	ADJ
fcis-26857	203	24	non	non	ADJ
fcis-26857	203	25	-	-	ADJ
fcis-26857	203	26	rainy	rainy	ADJ
fcis-26857	203	27	season	season	NOUN
fcis-26857	203	28	fitting	fit	VERB
fcis-26857	203	29	27.90861496	27.90861496	NUM
fcis-26857	203	30	5.538797209	5.538797209	NUM
fcis-26857	203	31	19.62558965	19.62558965	NUM
fcis-26857	203	32	5.37258257	5.37258257	NUM
fcis-26857	203	33	detailed	detailed	ADJ
fcis-26857	203	34	error	error	NOUN
fcis-26857	203	35	assessment	assessment	NOUN
fcis-26857	203	36	and	and	CCONJ
fcis-26857	203	37	optimisation	optimisation	NOUN
fcis-26857	203	38	tuning	tuning	NOUN
fcis-26857	203	39	were	be	AUX
fcis-26857	203	40	carried	carry	VERB
fcis-26857	203	41	out	out	ADP
fcis-26857	203	42	during	during	ADP
fcis-26857	203	43	the	the	DET
fcis-26857	203	44	fitting	fitting	NOUN
fcis-26857	203	45	of	of	ADP
fcis-26857	203	46	rainy	rainy	ADJ
fcis-26857	203	47	and	and	CCONJ
fcis-26857	203	48	non	non	ADJ
fcis-26857	203	49	-	-	ADJ
fcis-26857	203	50	rainy	rainy	ADJ
fcis-26857	203	51	season	season	NOUN
fcis-26857	203	52	data	datum	NOUN
fcis-26857	203	53	using	use	VERB
fcis-26857	203	54	the	the	DET
fcis-26857	203	55	gwo	gwo	PROPN
fcis-26857	203	56	-	-	PUNCT
fcis-26857	203	57	lstm	lstm	ADJ
fcis-26857	203	58	model	model	NOUN
fcis-26857	203	59	.	.	PUNCT
fcis-26857	204	1	the	the	DET
fcis-26857	204	2	initial	initial	ADJ
fcis-26857	204	3	evaluation	evaluation	NOUN
fcis-26857	204	4	showed	show	VERB
fcis-26857	204	5	that	that	SCONJ
fcis-26857	204	6	the	the	DET
fcis-26857	204	7	root	root	NOUN
fcis-26857	204	8	mean	mean	VERB
fcis-26857	204	9	square	square	ADJ
fcis-26857	204	10	error	error	NOUN
fcis-26857	204	11	(	(	PUNCT
fcis-26857	204	12	rmse	rmse	NOUN
fcis-26857	204	13	)	)	PUNCT
fcis-26857	204	14	for	for	ADP
fcis-26857	204	15	the	the	DET
fcis-26857	204	16	rainy	rainy	ADJ
fcis-26857	204	17	season	season	NOUN
fcis-26857	204	18	data	datum	NOUN
fcis-26857	204	19	was	be	AUX
fcis-26857	204	20	79.28649858	79.28649858	NUM
fcis-26857	204	21	and	and	CCONJ
fcis-26857	204	22	the	the	DET
fcis-26857	204	23	mean	mean	ADJ
fcis-26857	204	24	absolute	absolute	ADJ
fcis-26857	204	25	error	error	NOUN
fcis-26857	204	26	(	(	PUNCT
fcis-26857	204	27	mae	mae	PROPN
fcis-26857	204	28	)	)	PUNCT
fcis-26857	204	29	was	be	AUX
fcis-26857	204	30	61.39871118	61.39871118	NUM
fcis-26857	204	31	.	.	PUNCT
fcis-26857	205	1	this	this	PRON
fcis-26857	205	2	indicates	indicate	VERB
fcis-26857	205	3	that	that	SCONJ
fcis-26857	205	4	the	the	DET
fcis-26857	205	5	model	model	NOUN
fcis-26857	205	6	has	have	VERB
fcis-26857	205	7	relatively	relatively	ADV
fcis-26857	205	8	low	low	ADJ
fcis-26857	205	9	prediction	prediction	NOUN
fcis-26857	205	10	accuracy	accuracy	NOUN
fcis-26857	205	11	on	on	ADP
fcis-26857	205	12	the	the	DET
fcis-26857	205	13	rainy	rainy	ADJ
fcis-26857	205	14	season	season	NOUN
fcis-26857	205	15	data	datum	NOUN
fcis-26857	205	16	.	.	PUNCT
fcis-26857	206	1	similarly	similarly	ADV
fcis-26857	206	2	,	,	PUNCT
fcis-26857	206	3	the	the	DET
fcis-26857	206	4	initial	initial	ADJ
fcis-26857	206	5	rmse	rmse	NOUN
fcis-26857	206	6	for	for	ADP
fcis-26857	206	7	non	non	ADJ
fcis-26857	206	8	-	-	ADJ
fcis-26857	206	9	rainy	rainy	ADJ
fcis-26857	206	10	season	season	NOUN
fcis-26857	206	11	data	datum	NOUN
fcis-26857	206	12	was	be	AUX
fcis-26857	206	13	27.90861496	27.90861496	NUM
fcis-26857	206	14	and	and	CCONJ
fcis-26857	206	15	mae	mae	PROPN
fcis-26857	206	16	was	be	AUX
fcis-26857	206	17	5.538797209	5.538797209	NUM
fcis-26857	206	18	,	,	PUNCT
fcis-26857	206	19	which	which	PRON
fcis-26857	206	20	showed	show	VERB
fcis-26857	206	21	that	that	SCONJ
fcis-26857	206	22	the	the	DET
fcis-26857	206	23	model	model	NOUN
fcis-26857	206	24	performed	perform	VERB
fcis-26857	206	25	better	well	ADV
fcis-26857	206	26	on	on	ADP
fcis-26857	206	27	non	non	ADJ
fcis-26857	206	28	-	-	ADJ
fcis-26857	206	29	rainy	rainy	ADJ
fcis-26857	206	30	season	season	NOUN
fcis-26857	206	31	data	datum	NOUN
fcis-26857	206	32	,	,	PUNCT
fcis-26857	206	33	but	but	CCONJ
fcis-26857	206	34	there	there	PRON
fcis-26857	206	35	is	be	VERB
fcis-26857	206	36	still	still	ADV
fcis-26857	206	37	room	room	NOUN
fcis-26857	206	38	for	for	ADP
fcis-26857	206	39	improvement	improvement	NOUN
fcis-26857	206	40	.	.	PUNCT
fcis-26857	207	1	to	to	PART
fcis-26857	207	2	improve	improve	VERB
fcis-26857	207	3	the	the	DET
fcis-26857	207	4	prediction	prediction	NOUN
fcis-26857	207	5	performance	performance	NOUN
fcis-26857	207	6	of	of	ADP
fcis-26857	207	7	the	the	DET
fcis-26857	207	8	model	model	NOUN
fcis-26857	207	9	,	,	PUNCT
fcis-26857	207	10	we	we	PRON
fcis-26857	207	11	optimised	optimise	VERB
fcis-26857	207	12	the	the	DET
fcis-26857	207	13	lstm	lstm	NOUN
fcis-26857	207	14	model	model	NOUN
fcis-26857	207	15	using	use	VERB
fcis-26857	207	16	the	the	DET
fcis-26857	207	17	gwo	gwo	PROPN
fcis-26857	207	18	model	model	NOUN
fcis-26857	207	19	.	.	PUNCT
fcis-26857	208	1	the	the	DET
fcis-26857	208	2	optimised	optimise	VERB
fcis-26857	208	3	results	result	NOUN
fcis-26857	208	4	show	show	VERB
fcis-26857	208	5	a	a	DET
fcis-26857	208	6	significant	significant	ADJ
fcis-26857	208	7	reduction	reduction	NOUN
fcis-26857	208	8	in	in	ADP
fcis-26857	208	9	rmse	rmse	NOUN
fcis-26857	208	10	to	to	ADP
fcis-26857	208	11	72.80451213	72.80451213	NUM
fcis-26857	208	12	and	and	CCONJ
fcis-26857	208	13	mae	mae	PROPN
fcis-26857	208	14	to	to	ADP
fcis-26857	208	15	46.82695069	46.82695069	NUM
fcis-26857	208	16	for	for	ADP
fcis-26857	208	17	rainy	rainy	ADJ
fcis-26857	208	18	season	season	NOUN
fcis-26857	208	19	data.this	data.this	PROPN
fcis-26857	208	20	indicates	indicate	VERB
fcis-26857	208	21	a	a	DET
fcis-26857	208	22	significant	significant	ADJ
fcis-26857	208	23	improvement	improvement	NOUN
fcis-26857	208	24	in	in	ADP
fcis-26857	208	25	the	the	DET
fcis-26857	208	26	prediction	prediction	NOUN
fcis-26857	208	27	accuracy	accuracy	NOUN
fcis-26857	208	28	of	of	ADP
fcis-26857	208	29	the	the	DET
fcis-26857	208	30	model	model	NOUN
fcis-26857	208	31	on	on	ADP
fcis-26857	208	32	rainy	rainy	ADJ
fcis-26857	208	33	season	season	NOUN
fcis-26857	208	34	data	datum	NOUN
fcis-26857	208	35	.	.	PUNCT
fcis-26857	209	1	for	for	ADP
fcis-26857	209	2	non	non	ADJ
fcis-26857	209	3	-	-	ADJ
fcis-26857	209	4	rainy	rainy	ADJ
fcis-26857	209	5	season	season	NOUN
fcis-26857	209	6	data	datum	NOUN
fcis-26857	209	7	,	,	PUNCT
fcis-26857	209	8	the	the	DET
fcis-26857	209	9	optimised	optimise	VERB
fcis-26857	209	10	rmse	rmse	NOUN
fcis-26857	209	11	was	be	AUX
fcis-26857	209	12	reduced	reduce	VERB
fcis-26857	209	13	to	to	ADP
fcis-26857	209	14	19.62558965	19.62558965	NUM
fcis-26857	209	15	and	and	CCONJ
fcis-26857	209	16	mae	mae	PROPN
fcis-26857	209	17	was	be	AUX
fcis-26857	209	18	slightly	slightly	ADV
fcis-26857	209	19	reduced	reduce	VERB
fcis-26857	209	20	to	to	ADP
fcis-26857	209	21	5.37258257	5.37258257	NUM
fcis-26857	209	22	,	,	PUNCT
fcis-26857	209	23	which	which	PRON
fcis-26857	209	24	further	far	ADV
fcis-26857	209	25	improved	improve	VERB
fcis-26857	209	26	the	the	DET
fcis-26857	209	27	accuracy	accuracy	NOUN
fcis-26857	209	28	of	of	ADP
fcis-26857	209	29	the	the	DET
fcis-26857	209	30	model	model	NOUN
fcis-26857	209	31	.	.	PUNCT
fcis-26857	210	1	overall	overall	ADJ
fcis-26857	210	2	,	,	PUNCT
fcis-26857	210	3	through	through	ADP
fcis-26857	210	4	the	the	DET
fcis-26857	210	5	optimisation	optimisation	NOUN
fcis-26857	210	6	,	,	PUNCT
fcis-26857	210	7	we	we	PRON
fcis-26857	210	8	significantly	significantly	ADV
fcis-26857	210	9	improved	improve	VERB
fcis-26857	210	10	the	the	DET
fcis-26857	210	11	prediction	prediction	NOUN
fcis-26857	210	12	performance	performance	NOUN
fcis-26857	210	13	of	of	ADP
fcis-26857	210	14	the	the	DET
fcis-26857	210	15	lstm	lstm	PROPN
fcis-26857	210	16	model	model	NOUN
fcis-26857	210	17	on	on	ADP
fcis-26857	210	18	both	both	CCONJ
fcis-26857	210	19	rainy	rainy	ADJ
fcis-26857	210	20	and	and	CCONJ
fcis-26857	210	21	non	non	ADJ
fcis-26857	210	22	-	-	ADJ
fcis-26857	210	23	rainy	rainy	ADJ
fcis-26857	210	24	season	season	NOUN
fcis-26857	210	25	data	datum	NOUN
fcis-26857	210	26	,	,	PUNCT
fcis-26857	210	27	reducing	reduce	VERB
fcis-26857	210	28	the	the	DET
fcis-26857	210	29	error	error	NOUN
fcis-26857	210	30	and	and	CCONJ
fcis-26857	210	31	increasing	increase	VERB
fcis-26857	210	32	the	the	DET
fcis-26857	210	33	reliability	reliability	NOUN
fcis-26857	210	34	and	and	CCONJ
fcis-26857	210	35	applicability	applicability	NOUN
fcis-26857	210	36	of	of	ADP
fcis-26857	210	37	the	the	DET
fcis-26857	210	38	model	model	NOUN
fcis-26857	210	39	.	.	PUNCT
fcis-26857	211	1	9	9	X
fcis-26857	211	2	.	.	X
fcis-26857	211	3	comparison	comparison	NOUN
fcis-26857	211	4	of	of	ADP
fcis-26857	211	5	models	model	NOUN
fcis-26857	211	6	9.1	9.1	NUM
fcis-26857	211	7	.	.	PUNCT
fcis-26857	212	1	grey	grey	PROPN
fcis-26857	212	2	prediction	prediction	NOUN
fcis-26857	212	3	gm	gm	PROPN
fcis-26857	212	4	(	(	PUNCT
fcis-26857	212	5	1,1	1,1	NUM
fcis-26857	212	6	)	)	PUNCT
fcis-26857	212	7	grey	grey	NOUN
fcis-26857	212	8	prediction	prediction	NOUN
fcis-26857	212	9	is	be	AUX
fcis-26857	212	10	a	a	DET
fcis-26857	212	11	prediction	prediction	NOUN
fcis-26857	212	12	method	method	NOUN
fcis-26857	212	13	based	base	VERB
fcis-26857	212	14	on	on	ADP
fcis-26857	212	15	grey	grey	ADJ
fcis-26857	212	16	system	system	NOUN
fcis-26857	212	17	theory	theory	NOUN
fcis-26857	212	18	,	,	PUNCT
fcis-26857	212	19	which	which	PRON
fcis-26857	212	20	is	be	AUX
fcis-26857	212	21	suitable	suitable	ADJ
fcis-26857	212	22	for	for	ADP
fcis-26857	212	23	systems	system	NOUN
fcis-26857	212	24	with	with	ADP
fcis-26857	212	25	incomplete	incomplete	ADJ
fcis-26857	212	26	information	information	NOUN
fcis-26857	212	27	,	,	PUNCT
fcis-26857	212	28	small	small	ADJ
fcis-26857	212	29	sample	sample	NOUN
fcis-26857	212	30	data	datum	NOUN
fcis-26857	212	31	or	or	CCONJ
fcis-26857	212	32	lack	lack	NOUN
fcis-26857	212	33	of	of	ADP
fcis-26857	212	34	clear	clear	ADJ
fcis-26857	212	35	laws	law	NOUN
fcis-26857	212	36	.	.	PUNCT
fcis-26857	213	1	it	it	PRON
fcis-26857	213	2	is	be	AUX
fcis-26857	213	3	mainly	mainly	ADV
fcis-26857	213	4	used	use	VERB
fcis-26857	213	5	for	for	ADP
fcis-26857	213	6	short	short	ADJ
fcis-26857	213	7	-	-	PUNCT
fcis-26857	213	8	term	term	NOUN
fcis-26857	213	9	forecasting	forecasting	NOUN
fcis-26857	213	10	and	and	CCONJ
fcis-26857	213	11	trend	trend	NOUN
fcis-26857	213	12	prediction	prediction	NOUN
fcis-26857	213	13	,	,	PUNCT
fcis-26857	213	14	and	and	CCONJ
fcis-26857	213	15	is	be	AUX
fcis-26857	213	16	often	often	ADV
fcis-26857	213	17	applied	apply	VERB
fcis-26857	213	18	in	in	ADP
fcis-26857	213	19	the	the	DET
fcis-26857	213	20	fields	field	NOUN
fcis-26857	213	21	of	of	ADP
fcis-26857	213	22	economy	economy	NOUN
fcis-26857	213	23	,	,	PUNCT
fcis-26857	213	24	management	management	NOUN
fcis-26857	213	25	,	,	PUNCT
fcis-26857	213	26	environment	environment	NOUN
fcis-26857	213	27	and	and	CCONJ
fcis-26857	213	28	so	so	ADV
fcis-26857	213	29	on	on	ADV
fcis-26857	213	30	.	.	PUNCT
fcis-26857	214	1	we	we	PRON
fcis-26857	214	2	will	will	AUX
fcis-26857	214	3	divide	divide	VERB
fcis-26857	214	4	into	into	ADP
fcis-26857	214	5	rainy	rainy	ADJ
fcis-26857	214	6	and	and	CCONJ
fcis-26857	214	7	non	non	ADJ
fcis-26857	214	8	-	-	ADJ
fcis-26857	214	9	rainy	rainy	ADJ
fcis-26857	214	10	seasons	season	NOUN
fcis-26857	214	11	for	for	ADP
fcis-26857	214	12	their	their	PRON
fcis-26857	214	13	respective	respective	ADJ
fcis-26857	214	14	levels	level	NOUN
fcis-26857	214	15	of	of	ADP
fcis-26857	214	16	data	datum	NOUN
fcis-26857	214	17	prediction	prediction	NOUN
fcis-26857	214	18	,	,	PUNCT
fcis-26857	214	19	and	and	CCONJ
fcis-26857	214	20	the	the	DET
fcis-26857	214	21	predicted	predict	VERB
fcis-26857	214	22	values	value	NOUN
fcis-26857	214	23	will	will	AUX
fcis-26857	214	24	be	be	AUX
fcis-26857	214	25	analysed	analyse	VERB
fcis-26857	214	26	for	for	ADP
fcis-26857	214	27	error	error	NOUN
fcis-26857	214	28	with	with	ADP
fcis-26857	214	29	the	the	DET
fcis-26857	214	30	actual	actual	ADJ
fcis-26857	214	31	monthly	monthly	ADJ
fcis-26857	214	32	precipitation	precipitation	NOUN
fcis-26857	214	33	:	:	PUNCT
fcis-26857	214	34	fig	fig	NOUN
fcis-26857	214	35	17	17	NUM
fcis-26857	214	36	.	.	PUNCT
fcis-26857	215	1	grey	grey	PROPN
fcis-26857	215	2	predicted	predict	VERB
fcis-26857	215	3	fitted	fit	VERB
fcis-26857	215	4	values	value	NOUN
fcis-26857	215	5	the	the	DET
fcis-26857	215	6	grey	grey	PROPN
fcis-26857	215	7	predicted	predict	VERB
fcis-26857	215	8	gm	gm	PROPN
fcis-26857	215	9	(	(	PUNCT
fcis-26857	215	10	1,1	1,1	NUM
fcis-26857	215	11	)	)	PUNCT
fcis-26857	215	12	value	value	NOUN
fcis-26857	215	13	has	have	VERB
fcis-26857	215	14	an	an	DET
fcis-26857	215	15	error	error	NOUN
fcis-26857	215	16	of	of	ADP
fcis-26857	215	17	260.1	260.1	NUM
fcis-26857	215	18	%	%	NOUN
fcis-26857	215	19	from	from	ADP
fcis-26857	215	20	the	the	DET
fcis-26857	215	21	true	true	ADJ
fcis-26857	215	22	value	value	NOUN
fcis-26857	215	23	,	,	PUNCT
fcis-26857	215	24	which	which	PRON
fcis-26857	215	25	is	be	AUX
fcis-26857	215	26	too	too	ADV
fcis-26857	215	27	large	large	ADJ
fcis-26857	215	28	and	and	CCONJ
fcis-26857	215	29	implies	imply	VERB
fcis-26857	215	30	a	a	DET
fcis-26857	215	31	poor	poor	ADJ
fcis-26857	215	32	model	model	NOUN
fcis-26857	215	33	fit	fit	NOUN
fcis-26857	215	34	.	.	PUNCT
fcis-26857	216	1	16	16	NUM
fcis-26857	216	2	9.2	9.2	NUM
fcis-26857	216	3	.	.	PUNCT
fcis-26857	217	1	seasonal	seasonal	ADJ
fcis-26857	217	2	armia	armia	NOUN
fcis-26857	217	3	modelling	model	VERB
fcis-26857	217	4	the	the	DET
fcis-26857	217	5	seasonal	seasonal	ADJ
fcis-26857	217	6	autoregressive	autoregressive	ADJ
fcis-26857	217	7	moving	move	VERB
fcis-26857	217	8	average	average	ADJ
fcis-26857	217	9	model	model	NOUN
fcis-26857	217	10	(	(	PUNCT
fcis-26857	217	11	seasonal	seasonal	ADJ
fcis-26857	217	12	arima	arima	NOUN
fcis-26857	217	13	)	)	PUNCT
fcis-26857	217	14	is	be	AUX
fcis-26857	217	15	a	a	DET
fcis-26857	217	16	statistical	statistical	ADJ
fcis-26857	217	17	model	model	NOUN
fcis-26857	217	18	for	for	ADP
fcis-26857	217	19	time	time	NOUN
fcis-26857	217	20	series	series	NOUN
fcis-26857	217	21	analysis	analysis	NOUN
fcis-26857	217	22	and	and	CCONJ
fcis-26857	217	23	forecasting	forecasting	NOUN
fcis-26857	217	24	.	.	PUNCT
fcis-26857	218	1	it	it	PRON
fcis-26857	218	2	is	be	AUX
fcis-26857	218	3	an	an	DET
fcis-26857	218	4	extension	extension	NOUN
fcis-26857	218	5	of	of	ADP
fcis-26857	218	6	the	the	DET
fcis-26857	218	7	autoregressive	autoregressive	ADJ
fcis-26857	218	8	integral	integral	ADJ
fcis-26857	218	9	moving	move	VERB
fcis-26857	218	10	average	average	ADJ
fcis-26857	218	11	model	model	NOUN
fcis-26857	218	12	(	(	PUNCT
fcis-26857	218	13	arima	arima	PROPN
fcis-26857	218	14	)	)	PUNCT
fcis-26857	218	15	and	and	CCONJ
fcis-26857	218	16	is	be	AUX
fcis-26857	218	17	specifically	specifically	ADV
fcis-26857	218	18	designed	design	VERB
fcis-26857	218	19	to	to	PART
fcis-26857	218	20	deal	deal	VERB
fcis-26857	218	21	with	with	ADP
fcis-26857	218	22	time	time	NOUN
fcis-26857	218	23	series	series	PROPN
fcis-26857	218	24	data	datum	NOUN
fcis-26857	218	25	with	with	ADP
fcis-26857	218	26	seasonal	seasonal	ADJ
fcis-26857	218	27	characteristics.[14][15	characteristics.[14][15	NOUN
fcis-26857	218	28	]	]	X
fcis-26857	218	29	it	it	PRON
fcis-26857	218	30	is	be	AUX
fcis-26857	218	31	an	an	DET
fcis-26857	218	32	extension	extension	NOUN
fcis-26857	218	33	of	of	ADP
fcis-26857	218	34	the	the	DET
fcis-26857	218	35	autoregressive	autoregressive	ADJ
fcis-26857	218	36	integral	integral	ADJ
fcis-26857	218	37	moving	move	VERB
fcis-26857	218	38	average	average	ADJ
fcis-26857	218	39	model	model	NOUN
fcis-26857	218	40	(	(	PUNCT
fcis-26857	218	41	arima	arima	PROPN
fcis-26857	218	42	)	)	PUNCT
fcis-26857	218	43	.	.	PUNCT
fcis-26857	219	1	the	the	DET
fcis-26857	219	2	arima	arima	PROPN
fcis-26857	219	3	model	model	NOUN
fcis-26857	219	4	is	be	AUX
fcis-26857	219	5	a	a	DET
fcis-26857	219	6	commonly	commonly	ADV
fcis-26857	219	7	used	use	VERB
fcis-26857	219	8	time	time	NOUN
fcis-26857	219	9	series	series	PROPN
fcis-26857	219	10	modelling	modelling	NOUN
fcis-26857	219	11	method	method	NOUN
fcis-26857	219	12	that	that	PRON
fcis-26857	219	13	takes	take	VERB
fcis-26857	219	14	into	into	ADP
fcis-26857	219	15	account	account	NOUN
fcis-26857	219	16	the	the	DET
fcis-26857	219	17	autoregressive	autoregressive	ADJ
fcis-26857	219	18	,	,	PUNCT
fcis-26857	219	19	difference	difference	NOUN
fcis-26857	219	20	and	and	CCONJ
fcis-26857	219	21	moving	move	VERB
fcis-26857	219	22	average	average	ADJ
fcis-26857	219	23	components	component	NOUN
fcis-26857	219	24	of	of	ADP
fcis-26857	219	25	the	the	DET
fcis-26857	219	26	series	series	NOUN
fcis-26857	219	27	.	.	PUNCT
fcis-26857	220	1	however	however	ADV
fcis-26857	220	2	,	,	PUNCT
fcis-26857	220	3	for	for	ADP
fcis-26857	220	4	data	datum	NOUN
fcis-26857	220	5	with	with	ADP
fcis-26857	220	6	significant	significant	ADJ
fcis-26857	220	7	seasonal	seasonal	ADJ
fcis-26857	220	8	characteristics	characteristic	NOUN
fcis-26857	220	9	,	,	PUNCT
fcis-26857	220	10	the	the	DET
fcis-26857	220	11	traditional	traditional	ADJ
fcis-26857	220	12	arima	arima	NOUN
fcis-26857	220	13	model	model	NOUN
fcis-26857	220	14	may	may	AUX
fcis-26857	220	15	not	not	PART
fcis-26857	220	16	be	be	AUX
fcis-26857	220	17	sufficient	sufficient	ADJ
fcis-26857	220	18	to	to	PART
fcis-26857	220	19	capture	capture	VERB
fcis-26857	220	20	the	the	DET
fcis-26857	220	21	effects	effect	NOUN
fcis-26857	220	22	of	of	ADP
fcis-26857	220	23	seasonal	seasonal	ADJ
fcis-26857	220	24	variations	variation	NOUN
fcis-26857	220	25	.	.	PUNCT
fcis-26857	221	1	this	this	PRON
fcis-26857	221	2	is	be	AUX
fcis-26857	221	3	where	where	SCONJ
fcis-26857	221	4	the	the	DET
fcis-26857	221	5	use	use	NOUN
fcis-26857	221	6	of	of	ADP
fcis-26857	221	7	a	a	DET
fcis-26857	221	8	seasonal	seasonal	ADJ
fcis-26857	221	9	arima	arima	NOUN
fcis-26857	221	10	model	model	NOUN
fcis-26857	221	11	comes	come	VERB
fcis-26857	221	12	into	into	ADP
fcis-26857	221	13	play.[14	play.[14	PROPN
fcis-26857	221	14	]	]	PUNCT
fcis-26857	221	15	the	the	DET
fcis-26857	221	16	construction	construction	NOUN
fcis-26857	221	17	of	of	ADP
fcis-26857	221	18	a	a	DET
fcis-26857	221	19	seasonal	seasonal	ADJ
fcis-26857	221	20	arima	arima	NOUN
fcis-26857	221	21	model	model	NOUN
fcis-26857	221	22	usually	usually	ADV
fcis-26857	221	23	involves	involve	VERB
fcis-26857	221	24	seasonal	seasonal	ADJ
fcis-26857	221	25	decomposition	decomposition	NOUN
fcis-26857	221	26	of	of	ADP
fcis-26857	221	27	the	the	DET
fcis-26857	221	28	time	time	NOUN
fcis-26857	221	29	series	series	PROPN
fcis-26857	221	30	data	datum	NOUN
fcis-26857	221	31	to	to	PART
fcis-26857	221	32	determine	determine	VERB
fcis-26857	221	33	the	the	DET
fcis-26857	221	34	appropriate	appropriate	ADJ
fcis-26857	221	35	seasonal	seasonal	ADJ
fcis-26857	221	36	order	order	NOUN
fcis-26857	221	37	(	(	PUNCT
fcis-26857	221	38	p	p	X
fcis-26857	221	39	,	,	PUNCT
fcis-26857	221	40	d	d	NOUN
fcis-26857	221	41	,	,	PUNCT
fcis-26857	221	42	q	q	ADJ
fcis-26857	221	43	,	,	PUNCT
fcis-26857	221	44	s	s	NOUN
fcis-26857	221	45	)	)	PUNCT
fcis-26857	221	46	.	.	PUNCT
fcis-26857	222	1	the	the	DET
fcis-26857	222	2	parameters	parameter	NOUN
fcis-26857	222	3	of	of	ADP
fcis-26857	222	4	the	the	DET
fcis-26857	222	5	model	model	NOUN
fcis-26857	222	6	can	can	AUX
fcis-26857	222	7	then	then	ADV
fcis-26857	222	8	be	be	AUX
fcis-26857	222	9	estimated	estimate	VERB
fcis-26857	222	10	using	use	VERB
fcis-26857	222	11	maximum	maximum	ADJ
fcis-26857	222	12	likelihood	likelihood	NOUN
fcis-26857	222	13	estimation	estimation	NOUN
fcis-26857	222	14	or	or	CCONJ
fcis-26857	222	15	other	other	ADJ
fcis-26857	222	16	methods	method	NOUN
fcis-26857	222	17	,	,	PUNCT
fcis-26857	222	18	leading	lead	VERB
fcis-26857	222	19	to	to	ADP
fcis-26857	222	20	forecasting	forecasting	NOUN
fcis-26857	222	21	and	and	CCONJ
fcis-26857	222	22	analysis	analysis	NOUN
fcis-26857	222	23	.	.	PUNCT
fcis-26857	223	1	we	we	PRON
fcis-26857	223	2	brought	bring	VERB
fcis-26857	223	3	the	the	DET
fcis-26857	223	4	data	datum	NOUN
fcis-26857	223	5	to	to	ADP
fcis-26857	223	6	the	the	DET
fcis-26857	223	7	seasonal	seasonal	ADJ
fcis-26857	223	8	armia	armia	NOUN
fcis-26857	223	9	model	model	NOUN
fcis-26857	223	10	to	to	PART
fcis-26857	223	11	get	get	VERB
fcis-26857	223	12	the	the	DET
fcis-26857	223	13	projected	project	VERB
fcis-26857	223	14	monthly	monthly	ADJ
fcis-26857	223	15	precipitation	precipitation	NOUN
fcis-26857	223	16	for	for	ADP
fcis-26857	223	17	2023	2023	NUM
fcis-26857	223	18	.	.	PUNCT
fcis-26857	224	1	the	the	DET
fcis-26857	224	2	model	model	NOUN
fcis-26857	224	3	results	result	NOUN
fcis-26857	224	4	are	be	AUX
fcis-26857	224	5	shown	show	VERB
fcis-26857	224	6	as	as	ADP
fcis-26857	224	7	sarimax	sarimax	NOUN
fcis-26857	224	8	(	(	PUNCT
fcis-26857	224	9	0	0	NUM
fcis-26857	224	10	,	,	PUNCT
fcis-26857	224	11	0	0	NUM
fcis-26857	224	12	,	,	PUNCT
fcis-26857	224	13	0	0	NUM
fcis-26857	224	14	)	)	PUNCT
fcis-26857	224	15	×	×	NOUN
fcis-26857	224	16	(	(	PUNCT
fcis-26857	224	17	2	2	NUM
fcis-26857	224	18	,	,	PUNCT
fcis-26857	224	19	0	0	NUM
fcis-26857	224	20	,	,	PUNCT
fcis-26857	224	21	0	0	NUM
fcis-26857	224	22	,	,	PUNCT
fcis-26857	224	23	12	12	NUM
fcis-26857	224	24	)	)	PUNCT
fcis-26857	224	25	.	.	PUNCT
fcis-26857	225	1	according	accord	VERB
fcis-26857	225	2	to	to	ADP
fcis-26857	225	3	the	the	DET
fcis-26857	225	4	variable	variable	ADJ
fcis-26857	225	5	precipitation	precipitation	NOUN
fcis-26857	225	6	,	,	PUNCT
fcis-26857	225	7	the	the	DET
fcis-26857	225	8	results	result	NOUN
fcis-26857	225	9	of	of	ADP
fcis-26857	225	10	the	the	DET
fcis-26857	225	11	residual	residual	ADJ
fcis-26857	225	12	q	q	NOUN
fcis-26857	225	13	statistic	statistic	NOUN
fcis-26857	225	14	were	be	AUX
fcis-26857	225	15	analysed	analyse	VERB
fcis-26857	225	16	and	and	CCONJ
fcis-26857	225	17	it	it	PRON
fcis-26857	225	18	was	be	AUX
fcis-26857	225	19	found	find	VERB
fcis-26857	225	20	that	that	SCONJ
fcis-26857	225	21	q6	q6	NOUN
fcis-26857	225	22	was	be	AUX
fcis-26857	225	23	not	not	PART
fcis-26857	225	24	significant	significant	ADJ
fcis-26857	225	25	at	at	ADP
fcis-26857	225	26	the	the	DET
fcis-26857	225	27	level	level	NOUN
fcis-26857	225	28	,	,	PUNCT
fcis-26857	225	29	and	and	CCONJ
fcis-26857	225	30	the	the	DET
fcis-26857	225	31	hypothesis	hypothesis	NOUN
fcis-26857	225	32	that	that	PRON
fcis-26857	225	33	the	the	DET
fcis-26857	225	34	model	model	NOUN
fcis-26857	225	35	's	's	PART
fcis-26857	225	36	residuals	residual	NOUN
fcis-26857	225	37	were	be	AUX
fcis-26857	225	38	white	white	ADJ
fcis-26857	225	39	noise	noise	NOUN
fcis-26857	225	40	series	series	NOUN
fcis-26857	225	41	could	could	AUX
fcis-26857	225	42	not	not	PART
fcis-26857	225	43	be	be	AUX
fcis-26857	225	44	rejected	reject	VERB
fcis-26857	225	45	,	,	PUNCT
fcis-26857	225	46	so	so	CCONJ
fcis-26857	225	47	the	the	DET
fcis-26857	225	48	model	model	NOUN
fcis-26857	225	49	basically	basically	ADV
fcis-26857	225	50	met	meet	VERB
fcis-26857	225	51	the	the	DET
fcis-26857	225	52	requirements	requirement	NOUN
fcis-26857	225	53	;	;	PUNCT
fcis-26857	225	54	however	however	ADV
fcis-26857	225	55	,	,	PUNCT
fcis-26857	225	56	the	the	DET
fcis-26857	225	57	model	model	NOUN
fcis-26857	225	58	's	's	PART
fcis-26857	225	59	goodness	goodness	NOUN
fcis-26857	225	60	-	-	PUNCT
fcis-26857	225	61	of	of	ADP
fcis-26857	225	62	-	-	PUNCT
fcis-26857	225	63	fit	fit	NOUN
fcis-26857	225	64	,	,	PUNCT
fcis-26857	225	65	r²	r²	NOUN
fcis-26857	225	66	,	,	PUNCT
fcis-26857	225	67	was	be	AUX
fcis-26857	225	68	0.495	0.495	NUM
fcis-26857	225	69	,	,	PUNCT
fcis-26857	225	70	which	which	PRON
fcis-26857	225	71	was	be	AUX
fcis-26857	225	72	a	a	DET
fcis-26857	225	73	poor	poor	ADJ
fcis-26857	225	74	performance	performance	NOUN
fcis-26857	225	75	of	of	ADP
fcis-26857	225	76	the	the	DET
fcis-26857	225	77	model	model	NOUN
fcis-26857	225	78	.	.	PUNCT
fcis-26857	226	1	[	[	X
fcis-26857	226	2	15	15	NUM
fcis-26857	226	3	]	]	PUNCT
fcis-26857	226	4	fig	fig	NOUN
fcis-26857	226	5	18	18	NUM
fcis-26857	226	6	.	.	PUNCT
fcis-26857	227	1	seasonal	seasonal	ADJ
fcis-26857	227	2	ariam	ariam	PROPN
fcis-26857	227	3	predictions	prediction	NOUN
fcis-26857	227	4	vs.	vs.	ADP
fcis-26857	227	5	actual	actual	ADJ
fcis-26857	227	6	fit	fit	ADJ
fcis-26857	227	7	10	10	NUM
fcis-26857	227	8	.	.	PUNCT
fcis-26857	228	1	conclusion	conclusion	NOUN
fcis-26857	228	2	10.1	10.1	NUM
fcis-26857	228	3	.	.	PUNCT
fcis-26857	229	1	summary	summary	NOUN
fcis-26857	229	2	1.this	1.this	NUM
fcis-26857	229	3	study	study	NOUN
fcis-26857	229	4	uses	use	VERB
fcis-26857	229	5	the	the	DET
fcis-26857	229	6	precipitation	precipitation	NOUN
fcis-26857	229	7	data	datum	NOUN
fcis-26857	229	8	provided	provide	VERB
fcis-26857	229	9	by	by	ADP
fcis-26857	229	10	the	the	DET
fcis-26857	229	11	xixi	xixi	PROPN
fcis-26857	229	12	and	and	CCONJ
fcis-26857	229	13	energy	energy	NOUN
fcis-26857	229	14	meteorological	meteorological	ADJ
fcis-26857	229	15	data	datum	NOUN
fcis-26857	229	16	platform	platform	NOUN
fcis-26857	229	17	for	for	ADP
fcis-26857	229	18	suqian	suqian	ADJ
fcis-26857	229	19	city	city	NOUN
fcis-26857	229	20	from	from	ADP
fcis-26857	229	21	2019	2019	NUM
fcis-26857	229	22	to	to	ADP
fcis-26857	229	23	2023	2023	NUM
fcis-26857	229	24	for	for	ADP
fcis-26857	229	25	short	short	ADJ
fcis-26857	229	26	-	-	PUNCT
fcis-26857	229	27	term	term	NOUN
fcis-26857	229	28	precipitation	precipitation	NOUN
fcis-26857	229	29	forecasting	forecasting	NOUN
fcis-26857	229	30	,	,	PUNCT
fcis-26857	229	31	and	and	CCONJ
fcis-26857	229	32	the	the	DET
fcis-26857	229	33	gwo	gwo	PROPN
fcis-26857	229	34	-	-	ADJ
fcis-26857	229	35	lstm	lstm	ADJ
fcis-26857	229	36	model	model	NOUN
fcis-26857	229	37	proposed	propose	VERB
fcis-26857	229	38	in	in	ADP
fcis-26857	229	39	this	this	DET
fcis-26857	229	40	paper	paper	NOUN
fcis-26857	229	41	can	can	AUX
fcis-26857	229	42	be	be	AUX
fcis-26857	229	43	used	use	VERB
fcis-26857	229	44	to	to	PART
fcis-26857	229	45	improve	improve	VERB
fcis-26857	229	46	the	the	DET
fcis-26857	229	47	accuracy	accuracy	NOUN
fcis-26857	229	48	of	of	ADP
fcis-26857	229	49	the	the	DET
fcis-26857	229	50	lstm	lstm	NOUN
fcis-26857	229	51	with	with	ADP
fcis-26857	229	52	its	its	PRON
fcis-26857	229	53	strong	strong	ADJ
fcis-26857	229	54	memory	memory	NOUN
fcis-26857	229	55	capability	capability	NOUN
fcis-26857	229	56	as	as	ADP
fcis-26857	229	57	a	a	DET
fcis-26857	229	58	means	means	NOUN
fcis-26857	229	59	of	of	ADP
fcis-26857	229	60	predicting	predict	VERB
fcis-26857	229	61	the	the	DET
fcis-26857	229	62	precipitation	precipitation	NOUN
fcis-26857	229	63	in	in	ADP
fcis-26857	229	64	suqian	suqian	ADJ
fcis-26857	229	65	city	city	NOUN
fcis-26857	229	66	for	for	ADP
fcis-26857	229	67	the	the	DET
fcis-26857	229	68	next	next	ADJ
fcis-26857	229	69	12	12	NUM
fcis-26857	229	70	months	month	NOUN
fcis-26857	229	71	.	.	PUNCT
fcis-26857	230	1	the	the	DET
fcis-26857	230	2	shortterm	shortterm	PROPN
fcis-26857	230	3	precipitation	precipitation	PROPN
fcis-26857	230	4	forecast	forecast	NOUN
fcis-26857	230	5	for	for	ADP
fcis-26857	230	6	suqian	suqian	ADJ
fcis-26857	230	7	city	city	NOUN
fcis-26857	230	8	provides	provide	VERB
fcis-26857	230	9	a	a	DET
fcis-26857	230	10	more	more	ADV
fcis-26857	230	11	accurate	accurate	ADJ
fcis-26857	230	12	model	model	NOUN
fcis-26857	230	13	method	method	NOUN
fcis-26857	230	14	,	,	PUNCT
fcis-26857	230	15	which	which	PRON
fcis-26857	230	16	is	be	AUX
fcis-26857	230	17	not	not	PART
fcis-26857	230	18	only	only	ADV
fcis-26857	230	19	conducive	conducive	ADJ
fcis-26857	230	20	to	to	ADP
fcis-26857	230	21	the	the	DET
fcis-26857	230	22	safety	safety	NOUN
fcis-26857	230	23	of	of	ADP
fcis-26857	230	24	citizens	citizen	NOUN
fcis-26857	230	25	travelling	travel	VERB
fcis-26857	230	26	and	and	CCONJ
fcis-26857	230	27	playing	play	VERB
fcis-26857	230	28	pleasure	pleasure	NOUN
fcis-26857	230	29	,	,	PUNCT
fcis-26857	230	30	but	but	CCONJ
fcis-26857	230	31	also	also	ADV
fcis-26857	230	32	provides	provide	VERB
fcis-26857	230	33	great	great	ADJ
fcis-26857	230	34	convenience	convenience	NOUN
fcis-26857	230	35	in	in	ADP
fcis-26857	230	36	agricultural	agricultural	ADJ
fcis-26857	230	37	production	production	NOUN
fcis-26857	230	38	and	and	CCONJ
fcis-26857	230	39	transportation	transportation	NOUN
fcis-26857	230	40	,	,	PUNCT
fcis-26857	230	41	which	which	PRON
fcis-26857	230	42	helps	help	VERB
fcis-26857	230	43	suqian	suqian	ADJ
fcis-26857	230	44	city	city	NOUN
fcis-26857	230	45	to	to	PART
fcis-26857	230	46	flourish	flourish	VERB
fcis-26857	230	47	in	in	ADP
fcis-26857	230	48	the	the	DET
fcis-26857	230	49	basic	basic	ADJ
fcis-26857	230	50	industries	industry	NOUN
fcis-26857	230	51	and	and	CCONJ
fcis-26857	230	52	accelerate	accelerate	VERB
fcis-26857	230	53	the	the	DET
fcis-26857	230	54	development	development	NOUN
fcis-26857	230	55	of	of	ADP
fcis-26857	230	56	the	the	DET
fcis-26857	230	57	city	city	NOUN
fcis-26857	230	58	to	to	ADP
fcis-26857	230	59	the	the	DET
fcis-26857	230	60	intelligent	intelligent	ADJ
fcis-26857	230	61	city	city	NOUN
fcis-26857	230	62	.	.	PUNCT
fcis-26857	231	1	2.compared	2.compared	NUM
fcis-26857	231	2	with	with	ADP
fcis-26857	231	3	the	the	DET
fcis-26857	231	4	conventional	conventional	ADJ
fcis-26857	231	5	lstm	lstm	PROPN
fcis-26857	231	6	model	model	NOUN
fcis-26857	231	7	,	,	PUNCT
fcis-26857	231	8	the	the	DET
fcis-26857	231	9	approach	approach	NOUN
fcis-26857	231	10	mentioned	mention	VERB
fcis-26857	231	11	in	in	ADP
fcis-26857	231	12	this	this	DET
fcis-26857	231	13	paper	paper	NOUN
fcis-26857	231	14	has	have	VERB
fcis-26857	231	15	a	a	DET
fcis-26857	231	16	better	well	ADJ
fcis-26857	231	17	feature	feature	NOUN
fcis-26857	231	18	selection	selection	NOUN
fcis-26857	231	19	process	process	NOUN
fcis-26857	231	20	and	and	CCONJ
fcis-26857	231	21	has	have	VERB
fcis-26857	231	22	good	good	ADJ
fcis-26857	231	23	results	result	NOUN
fcis-26857	231	24	.	.	PUNCT
fcis-26857	232	1	however	however	ADV
fcis-26857	232	2	,	,	PUNCT
fcis-26857	232	3	it	it	PRON
fcis-26857	232	4	is	be	AUX
fcis-26857	232	5	difficult	difficult	ADJ
fcis-26857	232	6	to	to	PART
fcis-26857	232	7	analyse	analyse	VERB
fcis-26857	232	8	these	these	DET
fcis-26857	232	9	nonlinear	nonlinear	ADJ
fcis-26857	232	10	factors	factor	NOUN
fcis-26857	232	11	because	because	SCONJ
fcis-26857	232	12	precipitation	precipitation	NOUN
fcis-26857	232	13	may	may	AUX
fcis-26857	232	14	be	be	AUX
fcis-26857	232	15	affected	affect	VERB
fcis-26857	232	16	by	by	ADP
fcis-26857	232	17	many	many	ADJ
fcis-26857	232	18	linear	linear	ADJ
fcis-26857	232	19	and	and	CCONJ
fcis-26857	232	20	nonlinear	nonlinear	ADJ
fcis-26857	232	21	factors	factor	NOUN
fcis-26857	232	22	,	,	PUNCT
fcis-26857	232	23	some	some	PRON
fcis-26857	232	24	of	of	ADP
fcis-26857	232	25	which	which	PRON
fcis-26857	232	26	are	be	AUX
fcis-26857	232	27	potential	potential	ADJ
fcis-26857	232	28	.	.	PUNCT
fcis-26857	233	1	this	this	DET
fcis-26857	233	2	prediction	prediction	NOUN
fcis-26857	233	3	analyses	analyse	VERB
fcis-26857	233	4	the	the	DET
fcis-26857	233	5	precipitation	precipitation	NOUN
fcis-26857	233	6	in	in	ADP
fcis-26857	233	7	suqian	suqian	PROPN
fcis-26857	233	8	city	city	PROPN
fcis-26857	233	9	,	,	PUNCT
fcis-26857	233	10	jiangsu	jiangsu	PROPN
fcis-26857	233	11	province	province	PROPN
fcis-26857	233	12	,	,	PUNCT
fcis-26857	233	13	by	by	ADP
fcis-26857	233	14	using	use	VERB
fcis-26857	233	15	the	the	DET
fcis-26857	233	16	lstm	lstm	ADJ
fcis-26857	233	17	model	model	NOUN
fcis-26857	233	18	and	and	CCONJ
fcis-26857	233	19	the	the	DET
fcis-26857	233	20	gwo	gwo	PROPN
fcis-26857	233	21	-	-	PUNCT
fcis-26857	233	22	based	base	VERB
fcis-26857	233	23	long	long	ADJ
fcis-26857	233	24	and	and	CCONJ
fcis-26857	233	25	short	short	ADJ
fcis-26857	233	26	-	-	PUNCT
fcis-26857	233	27	term	term	NOUN
fcis-26857	233	28	memory	memory	NOUN
fcis-26857	233	29	neural	neural	ADJ
fcis-26857	233	30	network	network	NOUN
fcis-26857	233	31	,	,	PUNCT
fcis-26857	233	32	which	which	PRON
fcis-26857	233	33	has	have	VERB
fcis-26857	233	34	significant	significant	ADJ
fcis-26857	233	35	advantages	advantage	NOUN
fcis-26857	233	36	in	in	ADP
fcis-26857	233	37	dealing	deal	VERB
fcis-26857	233	38	with	with	ADP
fcis-26857	233	39	nonlinear	nonlinear	ADJ
fcis-26857	233	40	problems	problem	NOUN
fcis-26857	233	41	.	.	PUNCT
fcis-26857	234	1	3.by	3.by	NUM
fcis-26857	234	2	comparing	compare	VERB
fcis-26857	234	3	the	the	DET
fcis-26857	234	4	grey	grey	ADJ
fcis-26857	234	5	prediction	prediction	NOUN
fcis-26857	234	6	gm	gm	PROPN
fcis-26857	234	7	with	with	ADP
fcis-26857	234	8	the	the	DET
fcis-26857	234	9	seasonal	seasonal	ADJ
fcis-26857	234	10	armia	armia	PROPN
fcis-26857	234	11	model	model	PROPN
fcis-26857	234	12	,	,	PUNCT
fcis-26857	234	13	the	the	DET
fcis-26857	234	14	error	error	NOUN
fcis-26857	234	15	of	of	ADP
fcis-26857	234	16	the	the	DET
fcis-26857	234	17	model	model	NOUN
fcis-26857	234	18	is	be	AUX
fcis-26857	234	19	larger	large	ADJ
fcis-26857	234	20	and	and	CCONJ
fcis-26857	234	21	the	the	DET
fcis-26857	234	22	model	model	NOUN
fcis-26857	234	23	performance	performance	NOUN
fcis-26857	234	24	is	be	AUX
fcis-26857	234	25	poorer	poor	ADJ
fcis-26857	234	26	,	,	PUNCT
fcis-26857	234	27	this	this	DET
fcis-26857	234	28	study	study	NOUN
fcis-26857	234	29	can	can	AUX
fcis-26857	234	30	provide	provide	VERB
fcis-26857	234	31	some	some	DET
fcis-26857	234	32	reference	reference	NOUN
fcis-26857	234	33	for	for	ADP
fcis-26857	234	34	subsequent	subsequent	ADJ
fcis-26857	234	35	researchers	researcher	NOUN
fcis-26857	234	36	to	to	PART
fcis-26857	234	37	further	far	ADV
fcis-26857	234	38	improve	improve	VERB
fcis-26857	234	39	the	the	DET
fcis-26857	234	40	prediction	prediction	NOUN
fcis-26857	234	41	accuracy	accuracy	NOUN
fcis-26857	234	42	.	.	PUNCT
fcis-26857	235	1	4.precipitation	4.precipitation	NUM
fcis-26857	235	2	data	datum	NOUN
fcis-26857	235	3	for	for	ADP
fcis-26857	235	4	the	the	DET
fcis-26857	235	5	rainy	rainy	ADJ
fcis-26857	235	6	season	season	NOUN
fcis-26857	235	7	in	in	ADP
fcis-26857	235	8	suqian	suqian	PROPN
fcis-26857	235	9	is	be	AUX
fcis-26857	235	10	highly	highly	ADV
fcis-26857	235	11	variable	variable	ADJ
fcis-26857	235	12	,	,	PUNCT
fcis-26857	235	13	with	with	ADP
fcis-26857	235	14	maximum	maximum	ADJ
fcis-26857	235	15	monthly	monthly	ADJ
fcis-26857	235	16	precipitation	precipitation	NOUN
fcis-26857	235	17	of	of	ADP
fcis-26857	235	18	up	up	ADP
fcis-26857	235	19	to	to	PART
fcis-26857	235	20	700	700	NUM
fcis-26857	235	21	mm	mm	NOUN
fcis-26857	235	22	,	,	PUNCT
fcis-26857	235	23	indicating	indicate	VERB
fcis-26857	235	24	a	a	DET
fcis-26857	235	25	high	high	ADJ
fcis-26857	235	26	probability	probability	NOUN
fcis-26857	235	27	of	of	ADP
fcis-26857	235	28	extreme	extreme	ADJ
fcis-26857	235	29	weather	weather	NOUN
fcis-26857	235	30	in	in	ADP
fcis-26857	235	31	suqian	suqian	NOUN
fcis-26857	235	32	and	and	CCONJ
fcis-26857	235	33	erratic	erratic	ADJ
fcis-26857	235	34	precipitation	precipitation	NOUN
fcis-26857	235	35	,	,	PUNCT
fcis-26857	235	36	making	make	VERB
fcis-26857	235	37	prediction	prediction	NOUN
fcis-26857	235	38	very	very	ADV
fcis-26857	235	39	challenging	challenging	ADJ
fcis-26857	235	40	.	.	PUNCT
fcis-26857	236	1	precipitation	precipitation	NOUN
fcis-26857	236	2	in	in	ADP
fcis-26857	236	3	the	the	DET
fcis-26857	236	4	rainy	rainy	ADJ
fcis-26857	236	5	season	season	NOUN
fcis-26857	236	6	is	be	AUX
fcis-26857	236	7	quite	quite	ADV
fcis-26857	236	8	high	high	ADJ
fcis-26857	236	9	compared	compare	VERB
fcis-26857	236	10	to	to	ADP
fcis-26857	236	11	the	the	DET
fcis-26857	236	12	non	non	ADJ
fcis-26857	236	13	-	-	ADJ
fcis-26857	236	14	rainy	rainy	ADJ
fcis-26857	236	15	season	season	NOUN
fcis-26857	236	16	.	.	PUNCT
fcis-26857	237	1	precipitation	precipitation	NOUN
fcis-26857	237	2	in	in	ADP
fcis-26857	237	3	the	the	DET
fcis-26857	237	4	nonrainy	nonrainy	NOUN
fcis-26857	237	5	season	season	NOUN
fcis-26857	237	6	is	be	AUX
fcis-26857	237	7	more	more	ADV
fcis-26857	237	8	stable	stable	ADJ
fcis-26857	237	9	,	,	PUNCT
fcis-26857	237	10	with	with	ADP
fcis-26857	237	11	less	less	ADJ
fcis-26857	237	12	than	than	ADP
fcis-26857	237	13	100	100	NUM
fcis-26857	237	14	mm	mm	NOUN
fcis-26857	237	15	.	.	PUNCT
fcis-26857	238	1	the	the	DET
fcis-26857	238	2	rainy	rainy	ADJ
fcis-26857	238	3	season	season	NOUN
fcis-26857	238	4	precipitation	precipitation	NOUN
fcis-26857	238	5	can	can	AUX
fcis-26857	238	6	reach	reach	VERB
fcis-26857	238	7	up	up	ADP
fcis-26857	238	8	to	to	PART
fcis-26857	238	9	600	600	NUM
fcis-26857	238	10	mm	mm	NOUN
fcis-26857	238	11	in	in	ADP
fcis-26857	238	12	a	a	DET
fcis-26857	238	13	single	single	ADJ
fcis-26857	238	14	month	month	NOUN
fcis-26857	238	15	.	.	PUNCT
fcis-26857	239	1	5.since	5.since	NUM
fcis-26857	239	2	the	the	DET
fcis-26857	239	3	literature	literature	NOUN
fcis-26857	239	4	on	on	ADP
fcis-26857	239	5	gwo	gwo	PROPN
fcis-26857	239	6	-	-	ADJ
fcis-26857	239	7	long	long	ADJ
fcis-26857	239	8	and	and	CCONJ
fcis-26857	239	9	short	short	ADJ
fcis-26857	239	10	-	-	PUNCT
fcis-26857	239	11	term	term	NOUN
fcis-26857	239	12	memory	memory	NOUN
fcis-26857	239	13	neural	neural	ADJ
fcis-26857	239	14	network	network	NOUN
fcis-26857	239	15	models	model	NOUN
fcis-26857	239	16	for	for	ADP
fcis-26857	239	17	precipitation	precipitation	NOUN
fcis-26857	239	18	prediction	prediction	NOUN
fcis-26857	239	19	is	be	AUX
fcis-26857	239	20	relatively	relatively	ADV
fcis-26857	239	21	scarce	scarce	ADJ
fcis-26857	239	22	,	,	PUNCT
fcis-26857	239	23	this	this	DET
fcis-26857	239	24	paper	paper	NOUN
fcis-26857	239	25	is	be	AUX
fcis-26857	239	26	informative	informative	ADJ
fcis-26857	239	27	in	in	ADP
fcis-26857	239	28	related	related	ADJ
fcis-26857	239	29	aspects	aspect	NOUN
fcis-26857	239	30	.	.	PUNCT
fcis-26857	240	1	10.2	10.2	NUM
fcis-26857	240	2	.	.	PUNCT
fcis-26857	241	1	recommendations	recommendation	NOUN
fcis-26857	241	2	due	due	ADP
fcis-26857	241	3	to	to	ADP
fcis-26857	241	4	the	the	DET
fcis-26857	241	5	less	less	ADJ
fcis-26857	241	6	precipitation	precipitation	NOUN
fcis-26857	241	7	data	datum	NOUN
fcis-26857	241	8	collected	collect	VERB
fcis-26857	241	9	in	in	ADP
fcis-26857	241	10	this	this	DET
fcis-26857	241	11	paper	paper	NOUN
fcis-26857	241	12	,	,	PUNCT
fcis-26857	241	13	after	after	ADP
fcis-26857	241	14	optimisation	optimisation	NOUN
fcis-26857	241	15	using	use	VERB
fcis-26857	241	16	the	the	DET
fcis-26857	241	17	gwo	gwo	PROPN
fcis-26857	241	18	model	model	NOUN
fcis-26857	241	19	,	,	PUNCT
fcis-26857	241	20	although	although	SCONJ
fcis-26857	241	21	there	there	PRON
fcis-26857	241	22	is	be	VERB
fcis-26857	241	23	a	a	DET
fcis-26857	241	24	significant	significant	ADJ
fcis-26857	241	25	improvement	improvement	NOUN
fcis-26857	241	26	,	,	PUNCT
fcis-26857	241	27	but	but	CCONJ
fcis-26857	241	28	the	the	DET
fcis-26857	241	29	prediction	prediction	NOUN
fcis-26857	241	30	of	of	ADP
fcis-26857	241	31	the	the	DET
fcis-26857	241	32	non	non	ADJ
fcis-26857	241	33	-	-	ADJ
fcis-26857	241	34	rainy	rainy	ADJ
fcis-26857	241	35	season	season	NOUN
fcis-26857	241	36	our	our	PRON
fcis-26857	241	37	model	model	NOUN
fcis-26857	241	38	gives	give	VERB
fcis-26857	241	39	a	a	DET
fcis-26857	241	40	greater	great	ADJ
fcis-26857	241	41	volatility	volatility	NOUN
fcis-26857	241	42	of	of	ADP
fcis-26857	241	43	precipitation	precipitation	NOUN
fcis-26857	241	44	in	in	ADP
fcis-26857	241	45	the	the	DET
fcis-26857	241	46	non	non	ADJ
fcis-26857	241	47	-	-	ADJ
fcis-26857	241	48	rainy	rainy	ADJ
fcis-26857	241	49	season	season	NOUN
fcis-26857	241	50	,	,	PUNCT
fcis-26857	241	51	followed	follow	VERB
fcis-26857	241	52	by	by	ADP
fcis-26857	241	53	the	the	DET
fcis-26857	241	54	rainy	rainy	ADJ
fcis-26857	241	55	season	season	NOUN
fcis-26857	241	56	is	be	AUX
fcis-26857	241	57	more	more	ADV
fcis-26857	241	58	conservative	conservative	ADJ
fcis-26857	241	59	,	,	PUNCT
fcis-26857	241	60	later	later	ADV
fcis-26857	241	61	we	we	PRON
fcis-26857	241	62	need	need	VERB
fcis-26857	241	63	to	to	PART
fcis-26857	241	64	collect	collect	VERB
fcis-26857	241	65	more	more	ADJ
fcis-26857	241	66	meteorological	meteorological	ADJ
fcis-26857	241	67	precipitation	precipitation	NOUN
fcis-26857	241	68	data	datum	NOUN
fcis-26857	241	69	,	,	PUNCT
fcis-26857	241	70	and	and	CCONJ
fcis-26857	241	71	constantly	constantly	ADV
fcis-26857	241	72	train	train	VERB
fcis-26857	241	73	to	to	PART
fcis-26857	241	74	improve	improve	VERB
fcis-26857	241	75	the	the	DET
fcis-26857	241	76	model	model	NOUN
fcis-26857	241	77	.	.	PUNCT
fcis-26857	242	1	strengthen	strengthen	VERB
fcis-26857	242	2	the	the	DET
fcis-26857	242	3	construction	construction	NOUN
fcis-26857	242	4	and	and	CCONJ
fcis-26857	242	5	improvement	improvement	NOUN
fcis-26857	242	6	of	of	ADP
fcis-26857	242	7	water	water	NOUN
fcis-26857	242	8	conservancy	conservancy	NOUN
fcis-26857	242	9	projects	project	NOUN
fcis-26857	242	10	and	and	CCONJ
fcis-26857	242	11	increase	increase	VERB
fcis-26857	242	12	investment	investment	NOUN
fcis-26857	242	13	in	in	ADP
fcis-26857	242	14	water	water	NOUN
fcis-26857	242	15	conservancy	conservancy	NOUN
fcis-26857	242	16	projects	project	NOUN
fcis-26857	242	17	and	and	CCONJ
fcis-26857	242	18	facilities	facility	NOUN
fcis-26857	242	19	within	within	ADP
fcis-26857	242	20	suqian	suqian	ADJ
fcis-26857	242	21	city	city	NOUN
fcis-26857	242	22	to	to	PART
fcis-26857	242	23	ensure	ensure	VERB
fcis-26857	242	24	that	that	SCONJ
fcis-26857	242	25	urban	urban	ADJ
fcis-26857	242	26	traffic	traffic	NOUN
fcis-26857	242	27	is	be	AUX
fcis-26857	242	28	not	not	PART
fcis-26857	242	29	affected	affect	VERB
fcis-26857	242	30	by	by	ADP
fcis-26857	242	31	rainfall	rainfall	NOUN
fcis-26857	242	32	and	and	CCONJ
fcis-26857	242	33	to	to	PART
fcis-26857	242	34	improve	improve	VERB
fcis-26857	242	35	flood	flood	NOUN
fcis-26857	242	36	and	and	CCONJ
fcis-26857	242	37	drought	drought	NOUN
fcis-26857	242	38	prevention	prevention	NOUN
fcis-26857	242	39	.	.	PUNCT
fcis-26857	243	1	table	table	NOUN
fcis-26857	243	2	6	6	NUM
fcis-26857	243	3	.	.	PUNCT
fcis-26857	244	1	precipitation	precipitation	NOUN
fcis-26857	244	2	for	for	ADP
fcis-26857	244	3	the	the	DET
fcis-26857	244	4	next	next	ADJ
fcis-26857	244	5	12	12	NUM
fcis-26857	244	6	months	month	NOUN
fcis-26857	244	7	given	give	VERB
fcis-26857	244	8	by	by	ADP
fcis-26857	244	9	the	the	DET
fcis-26857	244	10	gwo	gwo	PROPN
fcis-26857	244	11	-	-	ADJ
fcis-26857	244	12	lstm	lstm	ADJ
fcis-26857	244	13	model	model	NOUN
fcis-26857	244	14	months	month	NOUN
fcis-26857	244	15	january	january	PROPN
fcis-26857	244	16	second	second	ADJ
fcis-26857	244	17	month	month	NOUN
fcis-26857	244	18	(	(	PUNCT
fcis-26857	244	19	of	of	ADP
fcis-26857	244	20	the	the	DET
fcis-26857	244	21	lunar	lunar	ADJ
fcis-26857	244	22	year	year	NOUN
fcis-26857	244	23	)	)	PUNCT
fcis-26857	244	24	march	march	PROPN
fcis-26857	244	25	april	april	PROPN
fcis-26857	244	26	may	may	AUX
fcis-26857	244	27	june	june	PROPN
fcis-26857	244	28	measured	measure	VERB
fcis-26857	244	29	quantity	quantity	NOUN
fcis-26857	244	30	of	of	ADP
fcis-26857	244	31	rain	rain	NOUN
fcis-26857	244	32	40.37	40.37	NUM
fcis-26857	244	33	30.67	30.67	NUM
fcis-26857	244	34	35.50	35.50	NUM
fcis-26857	244	35	39.71	39.71	NUM
fcis-26857	244	36	56.22	56.22	NUM
fcis-26857	244	37	186.41	186.41	NUM
fcis-26857	244	38	months	month	NOUN
fcis-26857	244	39	july	july	PROPN
fcis-26857	244	40	august	august	PROPN
fcis-26857	244	41	september	september	PROPN
fcis-26857	244	42	october	october	PROPN
fcis-26857	244	43	november	november	PROPN
fcis-26857	244	44	december	december	PROPN
fcis-26857	244	45	measured	measure	VERB
fcis-26857	244	46	quantity	quantity	NOUN
fcis-26857	244	47	of	of	ADP
fcis-26857	244	48	rain	rain	NOUN
fcis-26857	244	49	372.70	372.70	NUM
fcis-26857	244	50	147.16	147.16	NUM
fcis-26857	244	51	77.76	77.76	NUM
fcis-26857	244	52	32.47	32.47	NUM
fcis-26857	244	53	40.05	40.05	NUM
fcis-26857	244	54	13.005	13.005	NUM
fcis-26857	244	55	acknowledgments	acknowledgment	NOUN
fcis-26857	244	56	the	the	DET
fcis-26857	244	57	authors	author	NOUN
fcis-26857	244	58	are	be	AUX
fcis-26857	244	59	supported	support	VERB
fcis-26857	244	60	by	by	ADP
fcis-26857	244	61	the	the	DET
fcis-26857	244	62	university	university	NOUN
fcis-26857	244	63	students	student	NOUN
fcis-26857	244	64	'	'	PART
fcis-26857	244	65	innovation	innovation	NOUN
fcis-26857	244	66	and	and	CCONJ
fcis-26857	244	67	entrepreneurship	entrepreneurship	NOUN
fcis-26857	244	68	training	training	NOUN
fcis-26857	244	69	program	program	NOUN
fcis-26857	244	70	of	of	ADP
fcis-26857	244	71	suqian	suqian	PROPN
fcis-26857	244	72	university	university	PROPN
fcis-26857	244	73	(	(	PUNCT
fcis-26857	244	74	no.202414160103y	no.202414160103y	NOUN
fcis-26857	244	75	)	)	PUNCT
fcis-26857	244	76	.	.	PUNCT
fcis-26857	245	1	17	17	NUM
fcis-26857	245	2	references	reference	NOUN
fcis-26857	245	3	[	[	X
fcis-26857	245	4	1	1	NUM
fcis-26857	245	5	]	]	X
fcis-26857	245	6	lu	lu	PROPN
fcis-26857	245	7	chao	chao	PROPN
fcis-26857	245	8	.	.	PUNCT
fcis-26857	246	1	research	research	NOUN
fcis-26857	246	2	on	on	ADP
fcis-26857	246	3	multi	multi	ADJ
fcis-26857	246	4	-	-	ADJ
fcis-26857	246	5	objective	objective	ADJ
fcis-26857	246	6	shop	shop	NOUN
fcis-26857	246	7	floor	floor	NOUN
fcis-26857	246	8	scheduling	scheduling	NOUN
fcis-26857	246	9	problem	problem	NOUN
fcis-26857	246	10	with	with	ADP
fcis-26857	246	11	controllable	controllable	ADJ
fcis-26857	246	12	machining	machining	NOUN
fcis-26857	246	13	time	time	NOUN
fcis-26857	247	1	[	[	X
fcis-26857	247	2	d	d	X
fcis-26857	247	3	]	]	X
fcis-26857	247	4	.	.	PUNCT
fcis-26857	248	1	huazhong	huazhong	PROPN
fcis-26857	248	2	university	university	PROPN
fcis-26857	248	3	of	of	ADP
fcis-26857	248	4	science	science	NOUN
fcis-26857	248	5	and	and	CCONJ
fcis-26857	248	6	technology	technology	NOUN
fcis-26857	248	7	,	,	PUNCT
fcis-26857	248	8	2017	2017	NUM
fcis-26857	248	9	.	.	PUNCT
fcis-26857	249	1	[	[	X
fcis-26857	249	2	2	2	X
fcis-26857	249	3	]	]	PUNCT
fcis-26857	249	4	hong	hong	PROPN
fcis-26857	249	5	j.	j.	PROPN
fcis-26857	249	6	research	research	PROPN
fcis-26857	249	7	on	on	ADP
fcis-26857	249	8	domain	domain	NOUN
fcis-26857	249	9	concept	concept	NOUN
fcis-26857	249	10	extraction	extraction	NOUN
fcis-26857	249	11	method	method	NOUN
fcis-26857	249	12	based	base	VERB
fcis-26857	249	13	on	on	ADP
fcis-26857	249	14	deep	deep	ADJ
fcis-26857	249	15	learning	learning	NOUN
fcis-26857	249	16	[	[	X
fcis-26857	249	17	d	d	X
fcis-26857	249	18	]	]	X
fcis-26857	249	19	.	.	PUNCT
fcis-26857	250	1	east	east	PROPN
fcis-26857	250	2	china	china	PROPN
fcis-26857	250	3	normal	normal	ADJ
fcis-26857	250	4	university	university	NOUN
fcis-26857	250	5	,	,	PUNCT
fcis-26857	250	6	2014	2014	NUM
fcis-26857	250	7	.	.	PUNCT
fcis-26857	251	1	[	[	X
fcis-26857	251	2	3	3	NUM
fcis-26857	251	3	]	]	X
fcis-26857	251	4	cao	cao	PROPN
fcis-26857	251	5	,	,	PUNCT
fcis-26857	251	6	longchun	longchun	PROPN
fcis-26857	251	7	.	.	PUNCT
fcis-26857	251	8	research	research	NOUN
fcis-26857	251	9	on	on	ADP
fcis-26857	251	10	prediction	prediction	NOUN
fcis-26857	251	11	algorithm	algorithm	NOUN
fcis-26857	251	12	for	for	ADP
fcis-26857	251	13	longterm	longterm	VERB
fcis-26857	251	14	multi	multi	ADJ
fcis-26857	251	15	-	-	ADJ
fcis-26857	251	16	step	step	ADJ
fcis-26857	251	17	call	call	NOUN
fcis-26857	251	18	volume	volume	NOUN
fcis-26857	252	1	[	[	X
fcis-26857	252	2	d	d	X
fcis-26857	252	3	]	]	X
fcis-26857	252	4	.	.	PUNCT
fcis-26857	253	1	zhejiang	zhejiang	PROPN
fcis-26857	253	2	university	university	PROPN
fcis-26857	253	3	of	of	ADP
fcis-26857	253	4	technology	technology	NOUN
fcis-26857	253	5	,	,	PUNCT
fcis-26857	253	6	2020	2020	NUM
fcis-26857	253	7	.	.	PUNCT
fcis-26857	254	1	doi	doi	NOUN
fcis-26857	254	2	:	:	PUNCT
fcis-26857	254	3	10.27463	10.27463	NUM
fcis-26857	254	4	/	/	SYM
fcis-26857	254	5	d.cnki.gzgyu.2020.001423	d.cnki.gzgyu.2020.001423	NOUN
fcis-26857	254	6	.	.	PUNCT
fcis-26857	255	1	[	[	X
fcis-26857	255	2	4	4	X
fcis-26857	255	3	]	]	X
fcis-26857	255	4	ma	ma	PROPN
fcis-26857	255	5	xiaoyi	xiaoyi	PROPN
fcis-26857	255	6	,	,	PUNCT
fcis-26857	255	7	fan	fan	PROPN
fcis-26857	255	8	ke	ke	PROPN
fcis-26857	255	9	,	,	PUNCT
fcis-26857	255	10	yang	yang	PROPN
fcis-26857	255	11	hongqing	hongqing	PROPN
fcis-26857	255	12	.	.	PUNCT
fcis-26857	256	1	causes	cause	NOUN
fcis-26857	256	2	and	and	CCONJ
fcis-26857	256	3	predictability	predictability	NOUN
fcis-26857	256	4	of	of	ADP
fcis-26857	256	5	the	the	DET
fcis-26857	256	6	inter	inter	ADJ
fcis-26857	256	7	-	-	ADJ
fcis-26857	256	8	monthly	monthly	ADJ
fcis-26857	256	9	evolution	evolution	NOUN
fcis-26857	256	10	of	of	ADP
fcis-26857	256	11	extreme	extreme	ADJ
fcis-26857	256	12	precipitation	precipitation	NOUN
fcis-26857	256	13	in	in	ADP
fcis-26857	256	14	eastern	eastern	ADJ
fcis-26857	256	15	china	china	PROPN
fcis-26857	256	16	during	during	ADP
fcis-26857	256	17	the	the	DET
fcis-26857	256	18	summer	summer	NOUN
fcis-26857	256	19	of	of	ADP
fcis-26857	256	20	2021	2021	NUM
fcis-26857	257	1	[	[	X
fcis-26857	257	2	j	j	X
fcis-26857	257	3	/	/	SYM
fcis-26857	257	4	ol	ol	PROPN
fcis-26857	257	5	]	]	PUNCT
fcis-26857	257	6	.	.	PUNCT
fcis-26857	258	1	journal	journal	PROPN
fcis-26857	258	2	of	of	ADP
fcis-26857	258	3	atmospheric	atmospheric	PROPN
fcis-26857	258	4	sciences	science	NOUN
fcis-26857	258	5	,	,	PUNCT
fcis-26857	258	6	1	1	NUM
fcis-26857	258	7	-	-	PUNCT
fcis-26857	258	8	21[2024	21[2024	NUM
fcis-26857	258	9	-	-	PUNCT
fcis-26857	258	10	05	05	NUM
fcis-26857	258	11	-	-	PUNCT
fcis-26857	258	12	02	02	NUM
fcis-26857	258	13	]	]	PUNCT
fcis-26857	258	14	.	.	PUNCT
fcis-26857	259	1	[	[	X
fcis-26857	259	2	5	5	X
fcis-26857	259	3	]	]	X
fcis-26857	259	4	zhang	zhang	PROPN
fcis-26857	259	5	xing	xing	PROPN
fcis-26857	259	6	,	,	PUNCT
fcis-26857	259	7	guan	guan	PROPN
fcis-26857	259	8	yue	yue	PROPN
fcis-26857	259	9	,	,	PUNCT
fcis-26857	259	10	dan	dan	PROPN
fcis-26857	259	11	xinxin	xinxin	PROPN
fcis-26857	259	12	,	,	PUNCT
fcis-26857	259	13	et	et	PROPN
fcis-26857	259	14	al	al	PROPN
fcis-26857	259	15	.	.	PROPN
fcis-26857	259	16	research	research	NOUN
fcis-26857	259	17	on	on	ADP
fcis-26857	259	18	monthly	monthly	ADJ
fcis-26857	259	19	precipitation	precipitation	NOUN
fcis-26857	259	20	prediction	prediction	NOUN
fcis-26857	259	21	based	base	VERB
fcis-26857	259	22	on	on	ADP
fcis-26857	259	23	genetic	genetic	ADJ
fcis-26857	259	24	algorithmlong	algorithmlong	NOUN
fcis-26857	259	25	and	and	CCONJ
fcis-26857	259	26	short	short	ADJ
fcis-26857	259	27	-	-	PUNCT
fcis-26857	259	28	term	term	NOUN
fcis-26857	259	29	memory	memory	NOUN
fcis-26857	259	30	neural	neural	ADJ
fcis-26857	259	31	network[c]//	network[c]//	PROPN
fcis-26857	259	32	chinese	chinese	ADJ
fcis-26857	259	33	society	society	NOUN
fcis-26857	259	34	of	of	ADP
fcis-26857	259	35	statistical	statistical	ADJ
fcis-26857	259	36	education	education	NOUN
fcis-26857	259	37	,	,	PUNCT
fcis-26857	259	38	steering	steering	NOUN
fcis-26857	259	39	committee	committee	NOUN
fcis-26857	259	40	for	for	ADP
fcis-26857	259	41	teaching	teach	VERB
fcis-26857	259	42	statistics	statistic	NOUN
fcis-26857	259	43	in	in	ADP
fcis-26857	259	44	higher	high	ADJ
fcis-26857	259	45	education	education	NOUN
fcis-26857	259	46	institutions	institution	NOUN
fcis-26857	259	47	of	of	ADP
fcis-26857	259	48	the	the	DET
fcis-26857	259	49	ministry	ministry	PROPN
fcis-26857	259	50	of	of	ADP
fcis-26857	259	51	education	education	PROPN
fcis-26857	259	52	,	,	PUNCT
fcis-26857	259	53	national	national	ADJ
fcis-26857	259	54	steering	steering	NOUN
fcis-26857	259	55	committee	committee	NOUN
fcis-26857	259	56	for	for	ADP
fcis-26857	259	57	postgraduate	postgraduate	ADJ
fcis-26857	259	58	education	education	NOUN
fcis-26857	259	59	of	of	ADP
fcis-26857	259	60	professional	professional	ADJ
fcis-26857	259	61	degree	degree	NOUN
fcis-26857	259	62	in	in	ADP
fcis-26857	259	63	applied	applied	ADJ
fcis-26857	259	64	statistics	statistic	NOUN
fcis-26857	259	65	.	.	PUNCT
fcis-26857	260	1	2021	2021	NUM
fcis-26857	260	2	(	(	PUNCT
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fcis-26857	260	4	seventh	seventh	ADJ
fcis-26857	260	5	)	)	PUNCT
fcis-26857	260	6	national	national	ADJ
fcis-26857	260	7	student	student	NOUN
fcis-26857	260	8	statistical	statistical	ADJ
fcis-26857	260	9	modelling	modelling	NOUN
fcis-26857	260	10	competition	competition	NOUN
fcis-26857	260	11	awarded	award	VERB
fcis-26857	260	12	papers	paper	NOUN
fcis-26857	260	13	collection	collection	NOUN
fcis-26857	260	14	(	(	PUNCT
fcis-26857	260	15	ii	ii	NOUN
fcis-26857	260	16	)	)	PUNCT
fcis-26857	260	17	.	.	PUNCT
fcis-26857	261	1	guangxi	guangxi	PROPN
fcis-26857	261	2	university	university	PROPN
fcis-26857	261	3	of	of	ADP
fcis-26857	261	4	science	science	NOUN
fcis-26857	261	5	and	and	CCONJ
fcis-26857	261	6	technology	technology	NOUN
fcis-26857	261	7	,	,	PUNCT
fcis-26857	261	8	2021	2021	NUM
fcis-26857	261	9	:	:	PUNCT
fcis-26857	261	10	41	41	NUM
fcis-26857	261	11	.	.	PUNCT
fcis-26857	262	1	doi:10.26914	doi:10.26914	PROPN
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fcis-26857	262	4	.	.	PUNCT
fcis-26857	263	1	[	[	X
fcis-26857	263	2	6	6	NUM
fcis-26857	263	3	]	]	PUNCT
fcis-26857	263	4	ma	ma	PROPN
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fcis-26857	263	9	.	.	PUNCT
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fcis-26857	263	13	snowpack	snowpack	NOUN
fcis-26857	263	14	changes	change	NOUN
fcis-26857	263	15	on	on	ADP
fcis-26857	263	16	runoff	runoff	NOUN
fcis-26857	263	17	in	in	ADP
fcis-26857	263	18	the	the	DET
fcis-26857	263	19	tarim	tarim	PROPN
fcis-26857	263	20	river	river	PROPN
fcis-26857	263	21	basin[j	basin[j	PROPN
fcis-26857	263	22	]	]	PUNCT
fcis-26857	263	23	.	.	PUNCT
fcis-26857	264	1	water	water	NOUN
fcis-26857	264	2	resources	resource	NOUN
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fcis-26857	264	4	and	and	CCONJ
fcis-26857	264	5	economy	economy	NOUN
fcis-26857	264	6	,	,	PUNCT
fcis-26857	264	7	2024	2024	NUM
fcis-26857	264	8	,	,	PUNCT
fcis-26857	264	9	30	30	NUM
fcis-26857	264	10	(	(	PUNCT
fcis-26857	264	11	04	04	NUM
fcis-26857	264	12	):	):	PUNCT
fcis-26857	264	13	70	70	NUM
fcis-26857	264	14	-	-	SYM
fcis-26857	264	15	74	74	NUM
fcis-26857	264	16	.	.	PUNCT
fcis-26857	265	1	[	[	X
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fcis-26857	265	3	]	]	PUNCT
fcis-26857	265	4	shen	shen	PROPN
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fcis-26857	265	6	,	,	PUNCT
fcis-26857	265	7	cai	cai	PROPN
fcis-26857	265	8	qiang	qiang	PROPN
fcis-26857	265	9	,	,	PUNCT
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fcis-26857	265	15	.	.	PUNCT
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fcis-26857	265	17	safety	safety	NOUN
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fcis-26857	265	19	factor	factor	NOUN
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fcis-26857	265	21	and	and	CCONJ
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fcis-26857	265	23	method	method	NOUN
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fcis-26857	265	25	on	on	ADP
fcis-26857	265	26	pca	pca	PROPN
fcis-26857	265	27	and	and	CCONJ
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fcis-26857	265	29	[	[	X
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fcis-26857	265	31	]	]	X
fcis-26857	265	32	.	.	PUNCT
fcis-26857	266	1	food	food	NOUN
fcis-26857	266	2	industry	industry	NOUN
fcis-26857	266	3	,	,	PUNCT
fcis-26857	266	4	2021	2021	NUM
fcis-26857	266	5	,	,	PUNCT
fcis-26857	266	6	42	42	NUM
fcis-26857	266	7	(	(	PUNCT
fcis-26857	266	8	10	10	NUM
fcis-26857	266	9	):	):	PUNCT
fcis-26857	266	10	332	332	NUM
fcis-26857	266	11	-	-	SYM
fcis-26857	266	12	337	337	NUM
fcis-26857	266	13	.	.	PUNCT
fcis-26857	267	1	[	[	X
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fcis-26857	267	3	]	]	X
fcis-26857	267	4	zhang	zhang	PROPN
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fcis-26857	268	6	in	in	ADP
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fcis-26857	268	8	port	port	NOUN
fcis-26857	268	9	based	base	VERB
fcis-26857	268	10	on	on	ADP
fcis-26857	268	11	gm	gm	PROPN
fcis-26857	268	12	(	(	PUNCT
fcis-26857	268	13	1,1)-arima	1,1)-arima	NUM
fcis-26857	268	14	combined	combined	ADJ
fcis-26857	268	15	model	model	NOUN
fcis-26857	269	1	[	[	X
fcis-26857	269	2	j	j	X
fcis-26857	269	3	]	]	X
fcis-26857	269	4	.	.	PUNCT
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fcis-26857	270	4	management	management	NOUN
fcis-26857	270	5	,	,	PUNCT
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fcis-26857	270	7	,	,	PUNCT
fcis-26857	270	8	45	45	NUM
fcis-26857	270	9	(	(	PUNCT
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fcis-26857	270	13	-	-	SYM
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fcis-26857	270	15	.	.	PUNCT
fcis-26857	271	1	[	[	X
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fcis-26857	271	4	gu	gu	PROPN
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fcis-26857	271	6	.	.	PUNCT
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fcis-26857	272	2	of	of	ADP
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fcis-26857	272	4	of	of	ADP
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fcis-26857	273	1	[	[	X
fcis-26857	273	2	j	j	X
fcis-26857	273	3	]	]	X
fcis-26857	273	4	.	.	PUNCT
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fcis-26857	274	3	and	and	CCONJ
fcis-26857	274	4	applications	application	NOUN
fcis-26857	274	5	,	,	PUNCT
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fcis-26857	274	7	,	,	PUNCT
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fcis-26857	274	9	(	(	PUNCT
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fcis-26857	274	11	):	):	PUNCT
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fcis-26857	274	13	-	-	SYM
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fcis-26857	274	15	.	.	PUNCT
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fcis-26857	275	4	-	-	PUNCT
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fcis-26857	275	6	.	.	PUNCT
fcis-26857	276	1	2022	2022	NUM
fcis-26857	276	2	.	.	PUNCT
fcis-26857	277	1	01	01	NUM
fcis-26857	277	2	.	.	NOUN
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fcis-26857	278	1	[	[	SYM
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fcis-26857	278	6	.	.	PUNCT
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fcis-26857	280	1	[	[	X
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fcis-26857	280	4	.	.	PUNCT
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fcis-26857	281	3	,	,	PUNCT
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fcis-26857	281	5	.	.	PUNCT
fcis-26857	282	1	doi	doi	NOUN
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fcis-26857	282	6	.	.	PUNCT
fcis-26857	283	1	[	[	X
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fcis-26857	283	4	yu	yu	PROPN
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fcis-26857	283	6	.	.	PUNCT
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fcis-26857	284	13	-	-	PUNCT
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fcis-26857	285	1	[	[	X
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fcis-26857	285	4	.	.	PUNCT
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fcis-26857	286	4	,	,	PUNCT
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fcis-26857	288	2	.	.	PUNCT
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fcis-26857	289	2	.	.	PUNCT
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fcis-26857	292	1	[	[	X
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fcis-26857	292	4	.	.	PUNCT
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fcis-26857	293	2	,	,	PUNCT
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fcis-26857	293	10	-	-	SYM
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fcis-26857	293	12	.	.	PUNCT
fcis-26857	294	1	[	[	X
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fcis-26857	294	6	,	,	PUNCT
fcis-26857	294	7	jin	jin	PROPN
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fcis-26857	294	9	.	.	PUNCT
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fcis-26857	296	1	[	[	X
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fcis-26857	296	4	.	.	PUNCT
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fcis-26857	297	5	,	,	PUNCT
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fcis-26857	297	7	,	,	PUNCT
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fcis-26857	297	9	(	(	PUNCT
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fcis-26857	297	11	):	):	PUNCT
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fcis-26857	297	13	-	-	SYM
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fcis-26857	297	17	.	.	PUNCT
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fcis-26857	298	6	-	-	PUNCT
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fcis-26857	298	8	.	.	PUNCT
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fcis-26857	299	12	,	,	PUNCT
fcis-26857	299	13	et	et	PROPN
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fcis-26857	299	26	and	and	CCONJ
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fcis-26857	299	39	.	.	PUNCT
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fcis-26857	300	6	,	,	PUNCT
fcis-26857	300	7	1	1	NUM
fcis-26857	300	8	-	-	SYM
fcis-26857	300	9	11	11	NUM
fcis-26857	301	1	[	[	X
fcis-26857	301	2	2024	2024	NUM
fcis-26857	301	3	-	-	SYM
fcis-26857	301	4	07	07	NUM
fcis-26857	301	5	-	-	SYM
fcis-26857	301	6	12	12	NUM
fcis-26857	301	7	]	]	PUNCT
fcis-26857	301	8	.	.	PUNCT
fcis-26857	302	1	http://kns	http://kns	PROPN
fcis-26857	302	2	.	.	PUNCT
fcis-26857	303	1	cnki.net/kcms/	cnki.net/kcms/	PUNCT
fcis-26857	303	2	detail/61.1069	detail/61.1069	PROPN
fcis-26857	303	3	.	.	PUNCT
fcis-26857	303	4	t.	t.	PROPN
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fcis-26857	303	6	.	.	PUNCT
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fcis-26857	304	2	.	.	PUNCT
fcis-26857	305	1	[	[	X
fcis-26857	305	2	15	15	NUM
fcis-26857	305	3	]	]	X
fcis-26857	305	4	yu	yu	PROPN
fcis-26857	305	5	mu	mu	PROPN
fcis-26857	305	6	,	,	PUNCT
fcis-26857	305	7	yin	yin	PROPN
fcis-26857	305	8	weiqin	weiqin	PROPN
fcis-26857	305	9	,	,	PUNCT
fcis-26857	305	10	yang	yang	PROPN
fcis-26857	305	11	le	le	PROPN
fcis-26857	305	12	.	.	PUNCT
fcis-26857	305	13	prediction	prediction	NOUN
fcis-26857	305	14	of	of	ADP
fcis-26857	305	15	carbapenemresistant	carbapenemresistant	NOUN
fcis-26857	305	16	acinetobacter	acinetobacter	ADV
fcis-26857	305	17	baumannii	baumannii	ADJ
fcis-26857	305	18	prevalence	prevalence	NOUN
fcis-26857	305	19	trends	trend	NOUN
fcis-26857	305	20	based	base	VERB
fcis-26857	305	21	on	on	ADP
fcis-26857	305	22	arima	arima	PROPN
fcis-26857	305	23	product	product	NOUN
fcis-26857	305	24	seasonal	seasonal	ADJ
fcis-26857	305	25	model	model	NOUN
fcis-26857	306	1	[	[	X
fcis-26857	306	2	j	j	X
fcis-26857	306	3	/	/	SYM
fcis-26857	306	4	ol	ol	PROPN
fcis-26857	306	5	]	]	PUNCT
fcis-26857	306	6	.	.	PUNCT
fcis-26857	307	1	chinese	chinese	ADJ
fcis-26857	307	2	journal	journal	PROPN
fcis-26857	307	3	of	of	ADP
fcis-26857	307	4	hospital	hospital	NOUN
fcis-26857	307	5	infection	infection	NOUN
fcis-26857	307	6	,	,	PUNCT
fcis-26857	307	7	2024	2024	NUM
fcis-26857	307	8	,	,	PUNCT
fcis-26857	307	9	(	(	PUNCT
fcis-26857	307	10	17	17	NUM
fcis-26857	307	11	):	):	PUNCT
fcis-26857	307	12	2575	2575	NUM
fcis-26857	307	13	-	-	SYM
fcis-26857	307	14	2579	2579	NUM
fcis-26857	308	1	[	[	X
fcis-26857	308	2	2024	2024	NUM
fcis-26857	308	3	-	-	SYM
fcis-26857	308	4	07	07	NUM
fcis-26857	308	5	-	-	PUNCT
fcis-26857	308	6	12	12	NUM
fcis-26857	308	7	]	]	PUNCT
fcis-26857	308	8	.	.	PUNCT
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fcis-26857	309	2	.html	.html	PUNCT
fcis-26857	309	3	.	.	PUNCT