id	sid	tid	token	lemma	pos
ajst-30889	1	1	academic	academic	ADJ
ajst-30889	1	2	journal	journal	NOUN
ajst-30889	1	3	of	of	ADP
ajst-30889	1	4	science	science	NOUN
ajst-30889	1	5	and	and	CCONJ
ajst-30889	1	6	technology	technology	NOUN
ajst-30889	1	7	issn	issn	NOUN
ajst-30889	1	8	:	:	PUNCT
ajst-30889	1	9	2771	2771	NUM
ajst-30889	1	10	-	-	SYM
ajst-30889	1	11	3032	3032	NUM
ajst-30889	1	12	|	|	NOUN
ajst-30889	1	13	vol	vol	NOUN
ajst-30889	1	14	.	.	PROPN
ajst-30889	1	15	15	15	NUM
ajst-30889	1	16	,	,	PUNCT
ajst-30889	1	17	no	no	INTJ
ajst-30889	1	18	.	.	NOUN
ajst-30889	1	19	2	2	NUM
ajst-30889	1	20	,	,	PUNCT
ajst-30889	1	21	2025	2025	NUM
ajst-30889	1	22	75	75	NUM
ajst-30889	1	23	dam	dam	NOUN
ajst-30889	1	24	deformation	deformation	NOUN
ajst-30889	1	25	prediction	prediction	NOUN
ajst-30889	1	26	based	base	VERB
ajst-30889	1	27	on	on	ADP
ajst-30889	1	28	wavelet	wavelet	NOUN
ajst-30889	1	29	neural	neural	ADJ
ajst-30889	1	30	network	network	NOUN
ajst-30889	1	31	considering	consider	VERB
ajst-30889	1	32	multiple	multiple	ADJ
ajst-30889	1	33	influencing	influence	VERB
ajst-30889	1	34	factors	factor	NOUN
ajst-30889	1	35	yaxing	yaxe	VERB
ajst-30889	1	36	guo	guo	PROPN
ajst-30889	1	37	school	school	NOUN
ajst-30889	1	38	of	of	ADP
ajst-30889	1	39	surveying	surveying	NOUN
ajst-30889	1	40	and	and	CCONJ
ajst-30889	1	41	land	land	NOUN
ajst-30889	1	42	information	information	NOUN
ajst-30889	1	43	engineering	engineering	PROPN
ajst-30889	1	44	,	,	PUNCT
ajst-30889	1	45	henan	henan	PROPN
ajst-30889	1	46	polytechnic	polytechnic	PROPN
ajst-30889	1	47	university	university	PROPN
ajst-30889	1	48	,	,	PUNCT
ajst-30889	1	49	jiaozuo	jiaozuo	PROPN
ajst-30889	1	50	454003	454003	NUM
ajst-30889	1	51	,	,	PUNCT
ajst-30889	1	52	henan	henan	PROPN
ajst-30889	1	53	,	,	PUNCT
ajst-30889	1	54	china	china	PROPN
ajst-30889	1	55	abstract	abstract	PROPN
ajst-30889	1	56	:	:	PUNCT
ajst-30889	1	57	in	in	ADP
ajst-30889	1	58	order	order	NOUN
ajst-30889	1	59	to	to	PART
ajst-30889	1	60	predict	predict	VERB
ajst-30889	1	61	the	the	DET
ajst-30889	1	62	deformation	deformation	NOUN
ajst-30889	1	63	displacement	displacement	NOUN
ajst-30889	1	64	of	of	ADP
ajst-30889	1	65	the	the	DET
ajst-30889	1	66	dam	dam	NOUN
ajst-30889	1	67	and	and	CCONJ
ajst-30889	1	68	maintain	maintain	VERB
ajst-30889	1	69	the	the	DET
ajst-30889	1	70	safety	safety	NOUN
ajst-30889	1	71	of	of	ADP
ajst-30889	1	72	the	the	DET
ajst-30889	1	73	dam	dam	NOUN
ajst-30889	1	74	operation	operation	NOUN
ajst-30889	1	75	,	,	PUNCT
ajst-30889	1	76	this	this	DET
ajst-30889	1	77	paper	paper	NOUN
ajst-30889	1	78	takes	take	VERB
ajst-30889	1	79	the	the	DET
ajst-30889	1	80	xiaolangdi	xiaolangdi	PROPN
ajst-30889	1	81	dam	dam	PROPN
ajst-30889	1	82	in	in	ADP
ajst-30889	1	83	luoyang	luoyang	PROPN
ajst-30889	1	84	city	city	PROPN
ajst-30889	1	85	,	,	PUNCT
ajst-30889	1	86	henan	henan	PROPN
ajst-30889	1	87	province	province	PROPN
ajst-30889	1	88	as	as	ADP
ajst-30889	1	89	the	the	DET
ajst-30889	1	90	research	research	NOUN
ajst-30889	1	91	object	object	NOUN
ajst-30889	1	92	,	,	PUNCT
ajst-30889	1	93	and	and	CCONJ
ajst-30889	1	94	uses	use	VERB
ajst-30889	1	95	the	the	DET
ajst-30889	1	96	52	52	NUM
ajst-30889	1	97	-	-	PUNCT
ajst-30889	1	98	period	period	NOUN
ajst-30889	1	99	monitoring	monitor	VERB
ajst-30889	1	100	data	datum	NOUN
ajst-30889	1	101	of	of	ADP
ajst-30889	1	102	a	a	DET
ajst-30889	1	103	monitoring	monitoring	NOUN
ajst-30889	1	104	point	point	NOUN
ajst-30889	1	105	on	on	ADP
ajst-30889	1	106	the	the	DET
ajst-30889	1	107	dam	dam	NOUN
ajst-30889	1	108	as	as	ADP
ajst-30889	1	109	the	the	DET
ajst-30889	1	110	data	data	NOUN
ajst-30889	1	111	source	source	NOUN
ajst-30889	1	112	.	.	PUNCT
ajst-30889	2	1	the	the	DET
ajst-30889	2	2	spearman	spearman	NOUN
ajst-30889	2	3	rank	rank	NOUN
ajst-30889	2	4	correlation	correlation	NOUN
ajst-30889	2	5	coefficient	coefficient	NOUN
ajst-30889	2	6	analysis	analysis	NOUN
ajst-30889	2	7	method	method	NOUN
ajst-30889	2	8	was	be	AUX
ajst-30889	2	9	used	use	VERB
ajst-30889	2	10	to	to	PART
ajst-30889	2	11	analyze	analyze	VERB
ajst-30889	2	12	the	the	DET
ajst-30889	2	13	correlation	correlation	NOUN
ajst-30889	2	14	of	of	ADP
ajst-30889	2	15	15	15	NUM
ajst-30889	2	16	influencing	influence	VERB
ajst-30889	2	17	factors	factor	NOUN
ajst-30889	2	18	affecting	affect	VERB
ajst-30889	2	19	the	the	DET
ajst-30889	2	20	dam	dam	NOUN
ajst-30889	2	21	deformation	deformation	NOUN
ajst-30889	2	22	,	,	PUNCT
ajst-30889	2	23	and	and	CCONJ
ajst-30889	2	24	the	the	DET
ajst-30889	2	25	main	main	ADJ
ajst-30889	2	26	influencing	influence	VERB
ajst-30889	2	27	factors	factor	NOUN
ajst-30889	2	28	were	be	AUX
ajst-30889	2	29	determined	determine	VERB
ajst-30889	2	30	.	.	PUNCT
ajst-30889	3	1	the	the	DET
ajst-30889	3	2	wavelet	wavelet	PROPN
ajst-30889	3	3	neural	neural	PROPN
ajst-30889	3	4	network	network	NOUN
ajst-30889	3	5	is	be	AUX
ajst-30889	3	6	constructed	construct	VERB
ajst-30889	3	7	,	,	PUNCT
ajst-30889	3	8	the	the	DET
ajst-30889	3	9	optimal	optimal	ADJ
ajst-30889	3	10	wavelet	wavelet	NOUN
ajst-30889	3	11	function	function	NOUN
ajst-30889	3	12	and	and	CCONJ
ajst-30889	3	13	the	the	DET
ajst-30889	3	14	number	number	NOUN
ajst-30889	3	15	of	of	ADP
ajst-30889	3	16	hidden	hide	VERB
ajst-30889	3	17	layer	layer	NOUN
ajst-30889	3	18	nodes	node	NOUN
ajst-30889	3	19	are	be	AUX
ajst-30889	3	20	determined	determine	VERB
ajst-30889	3	21	,	,	PUNCT
ajst-30889	3	22	and	and	CCONJ
ajst-30889	3	23	the	the	DET
ajst-30889	3	24	dam	dam	NOUN
ajst-30889	3	25	displacement	displacement	NOUN
ajst-30889	3	26	prediction	prediction	NOUN
ajst-30889	3	27	is	be	AUX
ajst-30889	3	28	realized	realize	VERB
ajst-30889	3	29	.	.	PUNCT
ajst-30889	4	1	by	by	ADP
ajst-30889	4	2	comparing	compare	VERB
ajst-30889	4	3	with	with	ADP
ajst-30889	4	4	bp	bp	PROPN
ajst-30889	4	5	neural	neural	ADJ
ajst-30889	4	6	network	network	NOUN
ajst-30889	4	7	,	,	PUNCT
ajst-30889	4	8	the	the	DET
ajst-30889	4	9	superiority	superiority	NOUN
ajst-30889	4	10	of	of	ADP
ajst-30889	4	11	wavelet	wavelet	NOUN
ajst-30889	4	12	neural	neural	ADJ
ajst-30889	4	13	network	network	NOUN
ajst-30889	4	14	is	be	AUX
ajst-30889	4	15	verified	verify	VERB
ajst-30889	4	16	.	.	PUNCT
ajst-30889	5	1	the	the	DET
ajst-30889	5	2	results	result	NOUN
ajst-30889	5	3	show	show	VERB
ajst-30889	5	4	that	that	SCONJ
ajst-30889	5	5	the	the	DET
ajst-30889	5	6	main	main	ADJ
ajst-30889	5	7	factors	factor	NOUN
ajst-30889	5	8	affecting	affect	VERB
ajst-30889	5	9	dam	dam	NOUN
ajst-30889	5	10	deformation	deformation	NOUN
ajst-30889	5	11	are	be	AUX
ajst-30889	5	12	t0	t0	NOUN
ajst-30889	5	13	,	,	PUNCT
ajst-30889	5	14	sint	sint	NOUN
ajst-30889	5	15	,	,	PUNCT
ajst-30889	5	16	cost	cost	NOUN
ajst-30889	5	17	and	and	CCONJ
ajst-30889	5	18	h	h	NOUN
ajst-30889	5	19	,	,	PUNCT
ajst-30889	5	20	respectively	respectively	ADV
ajst-30889	5	21	.	.	PUNCT
ajst-30889	6	1	the	the	DET
ajst-30889	6	2	rmse	rmse	NOUN
ajst-30889	6	3	and	and	CCONJ
ajst-30889	6	4	mae	mae	PROPN
ajst-30889	6	5	of	of	ADP
ajst-30889	6	6	the	the	DET
ajst-30889	6	7	prediction	prediction	NOUN
ajst-30889	6	8	results	result	NOUN
ajst-30889	6	9	of	of	ADP
ajst-30889	6	10	the	the	DET
ajst-30889	6	11	wavelet	wavelet	NOUN
ajst-30889	6	12	neural	neural	ADJ
ajst-30889	6	13	network	network	NOUN
ajst-30889	6	14	are	be	AUX
ajst-30889	6	15	0.1932	0.1932	NUM
ajst-30889	6	16	dm	dm	NUM
ajst-30889	6	17	and	and	CCONJ
ajst-30889	6	18	0.1398	0.1398	NUM
ajst-30889	6	19	dm	dm	NOUN
ajst-30889	6	20	,	,	PUNCT
ajst-30889	6	21	respectively	respectively	ADV
ajst-30889	6	22	,	,	PUNCT
ajst-30889	6	23	which	which	PRON
ajst-30889	6	24	are	be	AUX
ajst-30889	6	25	reduced	reduce	VERB
ajst-30889	6	26	by	by	ADP
ajst-30889	6	27	0.6092	0.6092	NUM
ajst-30889	6	28	dm	dm	NOUN
ajst-30889	6	29	and	and	CCONJ
ajst-30889	6	30	0.444	0.444	NUM
ajst-30889	6	31	dm	dm	NUM
ajst-30889	6	32	compared	compare	VERB
ajst-30889	6	33	with	with	ADP
ajst-30889	6	34	the	the	DET
ajst-30889	6	35	bp	bp	PROPN
ajst-30889	6	36	neural	neural	ADJ
ajst-30889	6	37	network	network	NOUN
ajst-30889	6	38	.	.	PUNCT
ajst-30889	7	1	the	the	DET
ajst-30889	7	2	research	research	NOUN
ajst-30889	7	3	results	result	NOUN
ajst-30889	7	4	can	can	AUX
ajst-30889	7	5	provide	provide	VERB
ajst-30889	7	6	some	some	DET
ajst-30889	7	7	reference	reference	NOUN
ajst-30889	7	8	value	value	NOUN
ajst-30889	7	9	for	for	ADP
ajst-30889	7	10	the	the	DET
ajst-30889	7	11	safe	safe	ADJ
ajst-30889	7	12	operation	operation	NOUN
ajst-30889	7	13	and	and	CCONJ
ajst-30889	7	14	maintenance	maintenance	NOUN
ajst-30889	7	15	of	of	ADP
ajst-30889	7	16	the	the	DET
ajst-30889	7	17	dam	dam	NOUN
ajst-30889	7	18	.	.	PUNCT
ajst-30889	8	1	keywords	keyword	NOUN
ajst-30889	8	2	:	:	PUNCT
ajst-30889	8	3	impact	impact	NOUN
ajst-30889	8	4	factor	factor	NOUN
ajst-30889	8	5	;	;	PUNCT
ajst-30889	8	6	spearman	spearman	NOUN
ajst-30889	8	7	;	;	PUNCT
ajst-30889	8	8	wavelet	wavelet	NOUN
ajst-30889	8	9	function	function	NOUN
ajst-30889	8	10	;	;	PUNCT
ajst-30889	8	11	wavelet	wavelet	NOUN
ajst-30889	8	12	neural	neural	ADJ
ajst-30889	8	13	network	network	NOUN
ajst-30889	8	14	.	.	PUNCT
ajst-30889	9	1	1	1	X
ajst-30889	9	2	.	.	X
ajst-30889	9	3	introduction	introduction	NOUN
ajst-30889	9	4	since	since	SCONJ
ajst-30889	9	5	the	the	DET
ajst-30889	9	6	founding	founding	NOUN
ajst-30889	9	7	of	of	ADP
ajst-30889	9	8	new	new	ADJ
ajst-30889	9	9	china	china	PROPN
ajst-30889	9	10	,	,	PUNCT
ajst-30889	9	11	in	in	ADP
ajst-30889	9	12	order	order	NOUN
ajst-30889	9	13	to	to	PART
ajst-30889	9	14	improve	improve	VERB
ajst-30889	9	15	the	the	DET
ajst-30889	9	16	development	development	NOUN
ajst-30889	9	17	of	of	ADP
ajst-30889	9	18	the	the	DET
ajst-30889	9	19	national	national	ADJ
ajst-30889	9	20	economy	economy	NOUN
ajst-30889	9	21	,	,	PUNCT
ajst-30889	9	22	china	china	PROPN
ajst-30889	9	23	has	have	AUX
ajst-30889	9	24	begun	begin	VERB
ajst-30889	9	25	to	to	PART
ajst-30889	9	26	build	build	VERB
ajst-30889	9	27	a	a	DET
ajst-30889	9	28	large	large	ADJ
ajst-30889	9	29	number	number	NOUN
ajst-30889	9	30	of	of	ADP
ajst-30889	9	31	dams	dam	NOUN
ajst-30889	9	32	.	.	PUNCT
ajst-30889	10	1	according	accord	VERB
ajst-30889	10	2	to	to	ADP
ajst-30889	10	3	the	the	DET
ajst-30889	10	4	data	datum	NOUN
ajst-30889	10	5	of	of	ADP
ajst-30889	10	6	the	the	DET
ajst-30889	10	7	national	national	PROPN
ajst-30889	10	8	bureau	bureau	PROPN
ajst-30889	10	9	of	of	ADP
ajst-30889	10	10	statistics	statistic	NOUN
ajst-30889	10	11	,	,	PUNCT
ajst-30889	10	12	up	up	ADP
ajst-30889	10	13	to	to	ADP
ajst-30889	10	14	now	now	ADV
ajst-30889	10	15	,	,	PUNCT
ajst-30889	10	16	the	the	DET
ajst-30889	10	17	number	number	NOUN
ajst-30889	10	18	of	of	ADP
ajst-30889	10	19	large	large	ADJ
ajst-30889	10	20	,	,	PUNCT
ajst-30889	10	21	medium	medium	ADJ
ajst-30889	10	22	and	and	CCONJ
ajst-30889	10	23	small	small	ADJ
ajst-30889	10	24	dams	dam	NOUN
ajst-30889	10	25	that	that	PRON
ajst-30889	10	26	have	have	AUX
ajst-30889	10	27	been	be	AUX
ajst-30889	10	28	successfully	successfully	ADV
ajst-30889	10	29	built	build	VERB
ajst-30889	10	30	in	in	ADP
ajst-30889	10	31	china	china	PROPN
ajst-30889	10	32	has	have	AUX
ajst-30889	10	33	reached	reach	VERB
ajst-30889	10	34	nearly	nearly	ADV
ajst-30889	10	35	100,000	100,000	NUM
ajst-30889	10	36	,	,	PUNCT
ajst-30889	10	37	ranking	rank	VERB
ajst-30889	10	38	first	first	ADV
ajst-30889	10	39	in	in	ADP
ajst-30889	10	40	the	the	DET
ajst-30889	10	41	world[1	world[1	NOUN
ajst-30889	10	42	]	]	PUNCT
ajst-30889	10	43	.	.	PUNCT
ajst-30889	11	1	although	although	SCONJ
ajst-30889	11	2	the	the	DET
ajst-30889	11	3	establishment	establishment	NOUN
ajst-30889	11	4	of	of	ADP
ajst-30889	11	5	the	the	DET
ajst-30889	11	6	dam	dam	NOUN
ajst-30889	11	7	provides	provide	VERB
ajst-30889	11	8	a	a	DET
ajst-30889	11	9	very	very	ADV
ajst-30889	11	10	favorable	favorable	ADJ
ajst-30889	11	11	guarantee	guarantee	NOUN
ajst-30889	11	12	for	for	ADP
ajst-30889	11	13	the	the	DET
ajst-30889	11	14	development	development	NOUN
ajst-30889	11	15	of	of	ADP
ajst-30889	11	16	the	the	DET
ajst-30889	11	17	national	national	ADJ
ajst-30889	11	18	economy	economy	NOUN
ajst-30889	11	19	and	and	CCONJ
ajst-30889	11	20	science	science	NOUN
ajst-30889	11	21	and	and	CCONJ
ajst-30889	11	22	technology	technology	NOUN
ajst-30889	11	23	,	,	PUNCT
ajst-30889	11	24	due	due	ADP
ajst-30889	11	25	to	to	ADP
ajst-30889	11	26	the	the	DET
ajst-30889	11	27	early	early	ADJ
ajst-30889	11	28	establishment	establishment	NOUN
ajst-30889	11	29	of	of	ADP
ajst-30889	11	30	many	many	ADJ
ajst-30889	11	31	dams	dam	NOUN
ajst-30889	11	32	,	,	PUNCT
ajst-30889	11	33	the	the	DET
ajst-30889	11	34	design	design	NOUN
ajst-30889	11	35	technology	technology	NOUN
ajst-30889	11	36	of	of	ADP
ajst-30889	11	37	the	the	DET
ajst-30889	11	38	dam	dam	NOUN
ajst-30889	11	39	was	be	AUX
ajst-30889	11	40	not	not	PART
ajst-30889	11	41	perfect	perfect	ADJ
ajst-30889	11	42	,	,	PUNCT
ajst-30889	11	43	and	and	CCONJ
ajst-30889	11	44	the	the	DET
ajst-30889	11	45	geological	geological	ADJ
ajst-30889	11	46	conditions	condition	NOUN
ajst-30889	11	47	and	and	CCONJ
ajst-30889	11	48	hydrological	hydrological	ADJ
ajst-30889	11	49	knowledge	knowledge	NOUN
ajst-30889	11	50	were	be	AUX
ajst-30889	11	51	not	not	PART
ajst-30889	11	52	enough	enough	ADJ
ajst-30889	11	53	.	.	PUNCT
ajst-30889	12	1	understand	understand	VERB
ajst-30889	12	2	,	,	PUNCT
ajst-30889	12	3	resulting	result	VERB
ajst-30889	12	4	in	in	ADP
ajst-30889	12	5	a	a	DET
ajst-30889	12	6	relatively	relatively	ADV
ajst-30889	12	7	low	low	ADJ
ajst-30889	12	8	standard	standard	NOUN
ajst-30889	12	9	of	of	ADP
ajst-30889	12	10	design	design	NOUN
ajst-30889	12	11	engineering	engineering	NOUN
ajst-30889	12	12	,	,	PUNCT
ajst-30889	12	13	thus	thus	ADV
ajst-30889	12	14	leaving	leave	VERB
ajst-30889	12	15	many	many	ADJ
ajst-30889	12	16	hidden	hide	VERB
ajst-30889	12	17	dangers	danger	NOUN
ajst-30889	12	18	for	for	ADP
ajst-30889	12	19	the	the	DET
ajst-30889	12	20	safety	safety	NOUN
ajst-30889	12	21	of	of	ADP
ajst-30889	12	22	the	the	DET
ajst-30889	12	23	dam	dam	NOUN
ajst-30889	12	24	.	.	PUNCT
ajst-30889	13	1	with	with	ADP
ajst-30889	13	2	the	the	DET
ajst-30889	13	3	passage	passage	NOUN
ajst-30889	13	4	of	of	ADP
ajst-30889	13	5	time	time	NOUN
ajst-30889	13	6	,	,	PUNCT
ajst-30889	13	7	the	the	DET
ajst-30889	13	8	aging	aging	NOUN
ajst-30889	13	9	of	of	ADP
ajst-30889	13	10	the	the	DET
ajst-30889	13	11	dam	dam	NOUN
ajst-30889	13	12	,	,	PUNCT
ajst-30889	13	13	these	these	DET
ajst-30889	13	14	security	security	NOUN
ajst-30889	13	15	risks	risk	NOUN
ajst-30889	13	16	have	have	AUX
ajst-30889	13	17	been	be	AUX
ajst-30889	13	18	gradually	gradually	ADV
ajst-30889	13	19	revealed	reveal	VERB
ajst-30889	13	20	,	,	PUNCT
ajst-30889	13	21	which	which	PRON
ajst-30889	13	22	poses	pose	VERB
ajst-30889	13	23	a	a	DET
ajst-30889	13	24	serious	serious	ADJ
ajst-30889	13	25	threat	threat	NOUN
ajst-30889	13	26	to	to	ADP
ajst-30889	13	27	people	people	NOUN
ajst-30889	13	28	's	's	PART
ajst-30889	13	29	property	property	NOUN
ajst-30889	13	30	and	and	CCONJ
ajst-30889	13	31	life	life	NOUN
ajst-30889	13	32	.	.	PUNCT
ajst-30889	14	1	therefore	therefore	ADV
ajst-30889	14	2	,	,	PUNCT
ajst-30889	14	3	it	it	PRON
ajst-30889	14	4	is	be	AUX
ajst-30889	14	5	of	of	ADP
ajst-30889	14	6	great	great	ADJ
ajst-30889	14	7	significance	significance	NOUN
ajst-30889	14	8	to	to	PART
ajst-30889	14	9	maintain	maintain	VERB
ajst-30889	14	10	dam	dam	NOUN
ajst-30889	14	11	safety	safety	NOUN
ajst-30889	14	12	by	by	ADP
ajst-30889	14	13	establishing	establish	VERB
ajst-30889	14	14	a	a	DET
ajst-30889	14	15	dam	dam	NOUN
ajst-30889	14	16	deformation	deformation	NOUN
ajst-30889	14	17	prediction	prediction	NOUN
ajst-30889	14	18	model	model	NOUN
ajst-30889	14	19	to	to	PART
ajst-30889	14	20	predict	predict	VERB
ajst-30889	14	21	dam	dam	NOUN
ajst-30889	14	22	deformation	deformation	NOUN
ajst-30889	14	23	.	.	PUNCT
ajst-30889	15	1	at	at	ADP
ajst-30889	15	2	present	present	ADJ
ajst-30889	15	3	,	,	PUNCT
ajst-30889	15	4	domestic	domestic	ADJ
ajst-30889	15	5	and	and	CCONJ
ajst-30889	15	6	foreign	foreign	ADJ
ajst-30889	15	7	researchers	researcher	NOUN
ajst-30889	15	8	have	have	AUX
ajst-30889	15	9	achieved	achieve	VERB
ajst-30889	15	10	rich	rich	ADJ
ajst-30889	15	11	research	research	NOUN
ajst-30889	15	12	results	result	NOUN
ajst-30889	15	13	on	on	ADP
ajst-30889	15	14	dam	dam	NOUN
ajst-30889	15	15	deformation	deformation	NOUN
ajst-30889	15	16	prediction	prediction	NOUN
ajst-30889	15	17	.	.	PUNCT
ajst-30889	16	1	in	in	ADP
ajst-30889	16	2	2016	2016	NUM
ajst-30889	16	3	,	,	PUNCT
ajst-30889	16	4	spain	spain	PROPN
ajst-30889	16	5	's	's	PART
ajst-30889	16	6	salazar	salazar	NOUN
ajst-30889	16	7	fernando	fernando	PROPN
ajst-30889	16	8	et	et	PROPN
ajst-30889	16	9	al.used	al.use	VERB
ajst-30889	16	10	the	the	DET
ajst-30889	16	11	augmented	augment	VERB
ajst-30889	16	12	regression	regression	NOUN
ajst-30889	16	13	tree	tree	NOUN
ajst-30889	16	14	to	to	PART
ajst-30889	16	15	model	model	VERB
ajst-30889	16	16	eight	eight	NUM
ajst-30889	16	17	radial	radial	ADJ
ajst-30889	16	18	displacements	displacement	NOUN
ajst-30889	16	19	and	and	CCONJ
ajst-30889	16	20	four	four	NUM
ajst-30889	16	21	leakage	leakage	NOUN
ajst-30889	16	22	flows	flow	NOUN
ajst-30889	16	23	of	of	ADP
ajst-30889	16	24	the	the	DET
ajst-30889	16	25	labels	label	NOUN
ajst-30889	16	26	dam	dam	NOUN
ajst-30889	16	27	,	,	PUNCT
ajst-30889	16	28	discussed	discuss	VERB
ajst-30889	16	29	the	the	DET
ajst-30889	16	30	possibility	possibility	NOUN
ajst-30889	16	31	of	of	ADP
ajst-30889	16	32	model	model	NOUN
ajst-30889	16	33	interpretation	interpretation	NOUN
ajst-30889	16	34	,	,	PUNCT
ajst-30889	16	35	calculated	calculate	VERB
ajst-30889	16	36	the	the	DET
ajst-30889	16	37	relative	relative	ADJ
ajst-30889	16	38	influence	influence	NOUN
ajst-30889	16	39	of	of	ADP
ajst-30889	16	40	each	each	DET
ajst-30889	16	41	predictor	predictor	NOUN
ajst-30889	16	42	,	,	PUNCT
ajst-30889	16	43	and	and	CCONJ
ajst-30889	16	44	obtained	obtain	VERB
ajst-30889	16	45	some	some	DET
ajst-30889	16	46	correlation	correlation	NOUN
ajst-30889	16	47	diagrams[2	diagrams[2	NOUN
ajst-30889	16	48	]	]	PUNCT
ajst-30889	16	49	.	.	PUNCT
ajst-30889	17	1	in	in	ADP
ajst-30889	17	2	2018	2018	NUM
ajst-30889	17	3	,	,	PUNCT
ajst-30889	17	4	xing	xing	PROPN
ajst-30889	17	5	yin	yin	PROPN
ajst-30889	17	6	et	et	PROPN
ajst-30889	17	7	al.proposed	al.propose	VERB
ajst-30889	17	8	a	a	DET
ajst-30889	17	9	prediction	prediction	NOUN
ajst-30889	17	10	model	model	NOUN
ajst-30889	17	11	(	(	PUNCT
ajst-30889	17	12	iaga	iaga	NOUN
ajst-30889	17	13	-	-	PUNCT
ajst-30889	17	14	bp	bp	NOUN
ajst-30889	17	15	)	)	PUNCT
ajst-30889	17	16	combining	combine	VERB
ajst-30889	17	17	improved	improve	VERB
ajst-30889	17	18	genetic	genetic	ADJ
ajst-30889	17	19	algorithm	algorithm	NOUN
ajst-30889	17	20	and	and	CCONJ
ajst-30889	17	21	bp	bp	PROPN
ajst-30889	17	22	neural	neural	ADJ
ajst-30889	17	23	network	network	NOUN
ajst-30889	17	24	to	to	PART
ajst-30889	17	25	solve	solve	VERB
ajst-30889	17	26	the	the	DET
ajst-30889	17	27	problem	problem	NOUN
ajst-30889	17	28	of	of	ADP
ajst-30889	17	29	unsatisfactory	unsatisfactory	ADJ
ajst-30889	17	30	prediction	prediction	NOUN
ajst-30889	17	31	accuracy	accuracy	NOUN
ajst-30889	17	32	of	of	ADP
ajst-30889	17	33	dam	dam	NOUN
ajst-30889	17	34	deformation	deformation	NOUN
ajst-30889	17	35	.	.	PUNCT
ajst-30889	18	1	the	the	DET
ajst-30889	18	2	results	result	NOUN
ajst-30889	18	3	show	show	VERB
ajst-30889	18	4	that	that	SCONJ
ajst-30889	18	5	the	the	DET
ajst-30889	18	6	iaga	iaga	NOUN
ajst-30889	18	7	-	-	PUNCT
ajst-30889	18	8	bp	bp	PROPN
ajst-30889	18	9	model	model	NOUN
ajst-30889	18	10	can	can	AUX
ajst-30889	18	11	improve	improve	VERB
ajst-30889	18	12	the	the	DET
ajst-30889	18	13	prediction	prediction	NOUN
ajst-30889	18	14	accuracy	accuracy	NOUN
ajst-30889	18	15	of	of	ADP
ajst-30889	18	16	dam	dam	NOUN
ajst-30889	18	17	deformation	deformation	NOUN
ajst-30889	18	18	and	and	CCONJ
ajst-30889	18	19	has	have	VERB
ajst-30889	18	20	good	good	ADJ
ajst-30889	18	21	stability[3	stability[3	NOUN
ajst-30889	18	22	]	]	PUNCT
ajst-30889	18	23	.	.	PUNCT
ajst-30889	19	1	in	in	ADP
ajst-30889	19	2	2019	2019	NUM
ajst-30889	19	3	,	,	PUNCT
ajst-30889	19	4	liu	liu	PROPN
ajst-30889	19	5	zhongbao	zhongbao	PROPN
ajst-30889	19	6	proposed	propose	VERB
ajst-30889	19	7	an	an	DET
ajst-30889	19	8	adaptive	adaptive	ADJ
ajst-30889	19	9	particle	particle	NOUN
ajst-30889	19	10	swarm	swarm	NOUN
ajst-30889	19	11	neural	neural	ADJ
ajst-30889	19	12	network	network	NOUN
ajst-30889	19	13	algorithm	algorithm	NOUN
ajst-30889	19	14	and	and	CCONJ
ajst-30889	19	15	added	add	VERB
ajst-30889	19	16	an	an	DET
ajst-30889	19	17	adaptive	adaptive	ADJ
ajst-30889	19	18	mutation	mutation	NOUN
ajst-30889	19	19	operator	operator	NOUN
ajst-30889	19	20	to	to	PART
ajst-30889	19	21	improve	improve	VERB
ajst-30889	19	22	the	the	DET
ajst-30889	19	23	ability	ability	NOUN
ajst-30889	19	24	of	of	ADP
ajst-30889	19	25	particles	particle	NOUN
ajst-30889	19	26	to	to	PART
ajst-30889	19	27	jump	jump	VERB
ajst-30889	19	28	out	out	ADP
ajst-30889	19	29	of	of	ADP
ajst-30889	19	30	local	local	ADJ
ajst-30889	19	31	search	search	NOUN
ajst-30889	19	32	and	and	CCONJ
ajst-30889	19	33	achieve	achieve	VERB
ajst-30889	19	34	accurate	accurate	ADJ
ajst-30889	19	35	prediction	prediction	NOUN
ajst-30889	19	36	of	of	ADP
ajst-30889	19	37	dam	dam	NOUN
ajst-30889	19	38	displacement[4	displacement[4	PROPN
ajst-30889	19	39	]	]	PUNCT
ajst-30889	19	40	.	.	PUNCT
ajst-30889	20	1	in	in	ADP
ajst-30889	20	2	the	the	DET
ajst-30889	20	3	same	same	ADJ
ajst-30889	20	4	year	year	NOUN
ajst-30889	20	5	,	,	PUNCT
ajst-30889	20	6	erkan	erkan	PROPN
ajst-30889	20	7	kose	kose	AUX
ajst-30889	20	8	et	et	PROPN
ajst-30889	20	9	al.tested	al.teste	VERB
ajst-30889	20	10	the	the	DET
ajst-30889	20	11	effectiveness	effectiveness	NOUN
ajst-30889	20	12	of	of	ADP
ajst-30889	20	13	the	the	DET
ajst-30889	20	14	multivariate	multivariate	ADJ
ajst-30889	20	15	grey	grey	NOUN
ajst-30889	20	16	prediction	prediction	NOUN
ajst-30889	20	17	model	model	NOUN
ajst-30889	20	18	in	in	ADP
ajst-30889	20	19	dam	dam	NOUN
ajst-30889	20	20	deformation	deformation	NOUN
ajst-30889	20	21	prediction	prediction	NOUN
ajst-30889	20	22	.	.	PUNCT
ajst-30889	21	1	the	the	DET
ajst-30889	21	2	results	result	NOUN
ajst-30889	21	3	show	show	VERB
ajst-30889	21	4	that	that	SCONJ
ajst-30889	21	5	the	the	DET
ajst-30889	21	6	predicted	predict	VERB
ajst-30889	21	7	value	value	NOUN
ajst-30889	21	8	of	of	ADP
ajst-30889	21	9	the	the	DET
ajst-30889	21	10	grey	grey	PROPN
ajst-30889	21	11	model	model	NOUN
ajst-30889	21	12	is	be	AUX
ajst-30889	21	13	in	in	ADP
ajst-30889	21	14	good	good	ADJ
ajst-30889	21	15	agreement	agreement	NOUN
ajst-30889	21	16	with	with	ADP
ajst-30889	21	17	the	the	DET
ajst-30889	21	18	actual	actual	ADJ
ajst-30889	21	19	value[5	value[5	NOUN
ajst-30889	21	20	]	]	PUNCT
ajst-30889	21	21	.	.	PUNCT
ajst-30889	22	1	in	in	ADP
ajst-30889	22	2	2022	2022	NUM
ajst-30889	22	3	,	,	PUNCT
ajst-30889	22	4	yang	yang	PROPN
ajst-30889	22	5	et	et	PROPN
ajst-30889	22	6	al.conducted	al.conducte	VERB
ajst-30889	22	7	an	an	DET
ajst-30889	22	8	experimental	experimental	ADJ
ajst-30889	22	9	study	study	NOUN
ajst-30889	22	10	on	on	ADP
ajst-30889	22	11	the	the	DET
ajst-30889	22	12	application	application	NOUN
ajst-30889	22	13	of	of	ADP
ajst-30889	22	14	lstm	lstm	PROPN
ajst-30889	22	15	model	model	NOUN
ajst-30889	22	16	to	to	AUX
ajst-30889	22	17	dam	dam	NOUN
ajst-30889	22	18	deformation	deformation	NOUN
ajst-30889	22	19	prediction	prediction	NOUN
ajst-30889	22	20	,	,	PUNCT
ajst-30889	22	21	and	and	CCONJ
ajst-30889	22	22	used	use	VERB
ajst-30889	22	23	aafsa	aafsa	NOUN
ajst-30889	22	24	to	to	PART
ajst-30889	22	25	optimize	optimize	VERB
ajst-30889	22	26	parameters	parameter	NOUN
ajst-30889	22	27	,	,	PUNCT
ajst-30889	22	28	which	which	PRON
ajst-30889	22	29	provided	provide	VERB
ajst-30889	22	30	a	a	DET
ajst-30889	22	31	new	new	ADJ
ajst-30889	22	32	method	method	NOUN
ajst-30889	22	33	for	for	ADP
ajst-30889	22	34	dam	dam	NOUN
ajst-30889	22	35	prediction	prediction	NOUN
ajst-30889	22	36	analysis[6	analysis[6	ADV
ajst-30889	22	37	]	]	PUNCT
ajst-30889	22	38	.	.	PUNCT
ajst-30889	23	1	although	although	SCONJ
ajst-30889	23	2	the	the	DET
ajst-30889	23	3	above	above	ADJ
ajst-30889	23	4	methods	method	NOUN
ajst-30889	23	5	have	have	AUX
ajst-30889	23	6	realized	realize	VERB
ajst-30889	23	7	the	the	DET
ajst-30889	23	8	deformation	deformation	NOUN
ajst-30889	23	9	prediction	prediction	NOUN
ajst-30889	23	10	of	of	ADP
ajst-30889	23	11	the	the	DET
ajst-30889	23	12	dam	dam	NOUN
ajst-30889	23	13	,	,	PUNCT
ajst-30889	23	14	most	most	ADJ
ajst-30889	23	15	of	of	ADP
ajst-30889	23	16	them	they	PRON
ajst-30889	23	17	do	do	AUX
ajst-30889	23	18	not	not	PART
ajst-30889	23	19	consider	consider	VERB
ajst-30889	23	20	the	the	DET
ajst-30889	23	21	influence	influence	NOUN
ajst-30889	23	22	factors	factor	NOUN
ajst-30889	23	23	of	of	ADP
ajst-30889	23	24	the	the	DET
ajst-30889	23	25	dam	dam	NOUN
ajst-30889	23	26	deformation	deformation	NOUN
ajst-30889	23	27	in	in	ADP
ajst-30889	23	28	the	the	DET
ajst-30889	23	29	prediction	prediction	NOUN
ajst-30889	23	30	process	process	NOUN
ajst-30889	23	31	,	,	PUNCT
ajst-30889	23	32	resulting	result	VERB
ajst-30889	23	33	in	in	ADP
ajst-30889	23	34	low	low	ADJ
ajst-30889	23	35	prediction	prediction	NOUN
ajst-30889	23	36	accuracy	accuracy	NOUN
ajst-30889	23	37	.	.	PUNCT
ajst-30889	24	1	therefore	therefore	ADV
ajst-30889	24	2	,	,	PUNCT
ajst-30889	24	3	in	in	ADP
ajst-30889	24	4	order	order	NOUN
ajst-30889	24	5	to	to	PART
ajst-30889	24	6	explore	explore	VERB
ajst-30889	24	7	the	the	DET
ajst-30889	24	8	influence	influence	NOUN
ajst-30889	24	9	of	of	ADP
ajst-30889	24	10	different	different	ADJ
ajst-30889	24	11	influencing	influence	VERB
ajst-30889	24	12	factors	factor	NOUN
ajst-30889	24	13	on	on	ADP
ajst-30889	24	14	dam	dam	NOUN
ajst-30889	24	15	deformation	deformation	NOUN
ajst-30889	24	16	and	and	CCONJ
ajst-30889	24	17	realize	realize	VERB
ajst-30889	24	18	the	the	DET
ajst-30889	24	19	high	high	ADJ
ajst-30889	24	20	-	-	PUNCT
ajst-30889	24	21	precision	precision	NOUN
ajst-30889	24	22	prediction	prediction	NOUN
ajst-30889	24	23	of	of	ADP
ajst-30889	24	24	dam	dam	NOUN
ajst-30889	24	25	deformation	deformation	NOUN
ajst-30889	24	26	,	,	PUNCT
ajst-30889	24	27	this	this	DET
ajst-30889	24	28	paper	paper	NOUN
ajst-30889	24	29	combines	combine	VERB
ajst-30889	24	30	wavelet	wavelet	NOUN
ajst-30889	24	31	analysis	analysis	NOUN
ajst-30889	24	32	with	with	ADP
ajst-30889	24	33	traditional	traditional	ADJ
ajst-30889	24	34	artificial	artificial	ADJ
ajst-30889	24	35	neural	neural	ADJ
ajst-30889	24	36	network	network	NOUN
ajst-30889	24	37	to	to	PART
ajst-30889	24	38	establish	establish	VERB
ajst-30889	24	39	a	a	DET
ajst-30889	24	40	wavelet	wavelet	NOUN
ajst-30889	24	41	neural	neural	ADJ
ajst-30889	24	42	network	network	NOUN
ajst-30889	24	43	that	that	PRON
ajst-30889	24	44	takes	take	VERB
ajst-30889	24	45	into	into	ADP
ajst-30889	24	46	account	account	NOUN
ajst-30889	24	47	multiple	multiple	ADJ
ajst-30889	24	48	influencing	influence	VERB
ajst-30889	24	49	factors	factor	NOUN
ajst-30889	24	50	,	,	PUNCT
ajst-30889	24	51	so	so	SCONJ
ajst-30889	24	52	that	that	SCONJ
ajst-30889	24	53	it	it	PRON
ajst-30889	24	54	has	have	VERB
ajst-30889	24	55	good	good	ADJ
ajst-30889	24	56	approximation	approximation	NOUN
ajst-30889	24	57	ability	ability	NOUN
ajst-30889	24	58	and	and	CCONJ
ajst-30889	24	59	fault	fault	VERB
ajst-30889	24	60	tolerance	tolerance	NOUN
ajst-30889	24	61	ability	ability	NOUN
ajst-30889	24	62	to	to	PART
ajst-30889	24	63	realize	realize	VERB
ajst-30889	24	64	the	the	DET
ajst-30889	24	65	prediction	prediction	NOUN
ajst-30889	24	66	of	of	ADP
ajst-30889	24	67	dam	dam	NOUN
ajst-30889	24	68	deformation	deformation	NOUN
ajst-30889	24	69	.	.	PUNCT
ajst-30889	25	1	based	base	VERB
ajst-30889	25	2	on	on	ADP
ajst-30889	25	3	the	the	DET
ajst-30889	25	4	52	52	NUM
ajst-30889	25	5	-	-	PUNCT
ajst-30889	25	6	period	period	NOUN
ajst-30889	25	7	horizontal	horizontal	ADJ
ajst-30889	25	8	displacement	displacement	ADJ
ajst-30889	25	9	deformation	deformation	NOUN
ajst-30889	25	10	data	datum	NOUN
ajst-30889	25	11	of	of	ADP
ajst-30889	25	12	a	a	DET
ajst-30889	25	13	monitoring	monitoring	NOUN
ajst-30889	25	14	point	point	NOUN
ajst-30889	25	15	of	of	ADP
ajst-30889	25	16	xiaolangdi	xiaolangdi	PROPN
ajst-30889	25	17	dam	dam	PROPN
ajst-30889	25	18	,	,	PUNCT
ajst-30889	25	19	the	the	DET
ajst-30889	25	20	spearman	spearman	NOUN
ajst-30889	25	21	rank	rank	NOUN
ajst-30889	25	22	correlation	correlation	NOUN
ajst-30889	25	23	coefficient	coefficient	NOUN
ajst-30889	25	24	analysis	analysis	NOUN
ajst-30889	25	25	method	method	NOUN
ajst-30889	25	26	is	be	AUX
ajst-30889	25	27	used	use	VERB
ajst-30889	25	28	to	to	PART
ajst-30889	25	29	calculate	calculate	VERB
ajst-30889	25	30	the	the	DET
ajst-30889	25	31	correlation	correlation	NOUN
ajst-30889	25	32	between	between	ADP
ajst-30889	25	33	dam	dam	NOUN
ajst-30889	25	34	deformation	deformation	NOUN
ajst-30889	25	35	and	and	CCONJ
ajst-30889	25	36	undetermined	undetermined	ADJ
ajst-30889	25	37	influencing	influencing	NOUN
ajst-30889	25	38	factors	factor	NOUN
ajst-30889	25	39	,	,	PUNCT
ajst-30889	25	40	and	and	CCONJ
ajst-30889	25	41	the	the	DET
ajst-30889	25	42	principal	principal	ADJ
ajst-30889	25	43	component	component	NOUN
ajst-30889	25	44	factors	factor	NOUN
ajst-30889	25	45	affecting	affect	VERB
ajst-30889	25	46	dam	dam	NOUN
ajst-30889	25	47	deformation	deformation	NOUN
ajst-30889	25	48	are	be	AUX
ajst-30889	25	49	determined	determine	VERB
ajst-30889	25	50	.	.	PUNCT
ajst-30889	26	1	the	the	DET
ajst-30889	26	2	wavelet	wavelet	PROPN
ajst-30889	26	3	neural	neural	PROPN
ajst-30889	26	4	network	network	NOUN
ajst-30889	26	5	prediction	prediction	NOUN
ajst-30889	26	6	model	model	NOUN
ajst-30889	26	7	is	be	AUX
ajst-30889	26	8	constructed	construct	VERB
ajst-30889	26	9	to	to	PART
ajst-30889	26	10	determine	determine	VERB
ajst-30889	26	11	the	the	DET
ajst-30889	26	12	optimal	optimal	ADJ
ajst-30889	26	13	wavelet	wavelet	NOUN
ajst-30889	26	14	function	function	NOUN
ajst-30889	26	15	and	and	CCONJ
ajst-30889	26	16	the	the	DET
ajst-30889	26	17	number	number	NOUN
ajst-30889	26	18	of	of	ADP
ajst-30889	26	19	hidden	hide	VERB
ajst-30889	26	20	layer	layer	NOUN
ajst-30889	26	21	nodes	node	NOUN
ajst-30889	26	22	.	.	PUNCT
ajst-30889	27	1	combined	combine	VERB
ajst-30889	27	2	with	with	ADP
ajst-30889	27	3	the	the	DET
ajst-30889	27	4	principal	principal	ADJ
ajst-30889	27	5	component	component	NOUN
ajst-30889	27	6	factors	factor	NOUN
ajst-30889	27	7	affecting	affect	VERB
ajst-30889	27	8	the	the	DET
ajst-30889	27	9	dam	dam	NOUN
ajst-30889	27	10	deformation	deformation	NOUN
ajst-30889	27	11	,	,	PUNCT
ajst-30889	27	12	the	the	DET
ajst-30889	27	13	dam	dam	NOUN
ajst-30889	27	14	deformation	deformation	NOUN
ajst-30889	27	15	prediction	prediction	NOUN
ajst-30889	27	16	is	be	AUX
ajst-30889	27	17	realized	realize	VERB
ajst-30889	27	18	,	,	PUNCT
ajst-30889	27	19	which	which	PRON
ajst-30889	27	20	provides	provide	VERB
ajst-30889	27	21	a	a	DET
ajst-30889	27	22	certain	certain	ADJ
ajst-30889	27	23	reference	reference	NOUN
ajst-30889	27	24	value	value	NOUN
ajst-30889	27	25	for	for	ADP
ajst-30889	27	26	the	the	DET
ajst-30889	27	27	safe	safe	ADJ
ajst-30889	27	28	operation	operation	NOUN
ajst-30889	27	29	and	and	CCONJ
ajst-30889	27	30	maintenance	maintenance	NOUN
ajst-30889	27	31	of	of	ADP
ajst-30889	27	32	the	the	DET
ajst-30889	27	33	dam	dam	NOUN
ajst-30889	27	34	.	.	PROPN
ajst-30889	28	1	2	2	X
ajst-30889	28	2	.	.	X
ajst-30889	28	3	research	research	NOUN
ajst-30889	28	4	area	area	NOUN
ajst-30889	28	5	and	and	CCONJ
ajst-30889	28	6	data	datum	NOUN
ajst-30889	28	7	source	source	NOUN
ajst-30889	28	8	2.1	2.1	NUM
ajst-30889	28	9	.	.	PUNCT
ajst-30889	29	1	overview	overview	NOUN
ajst-30889	29	2	of	of	ADP
ajst-30889	29	3	the	the	DET
ajst-30889	29	4	study	study	NOUN
ajst-30889	29	5	area	area	NOUN
ajst-30889	29	6	the	the	DET
ajst-30889	29	7	yellow	yellow	PROPN
ajst-30889	29	8	river	river	PROPN
ajst-30889	29	9	xiaolangdi	xiaolangdi	PROPN
ajst-30889	29	10	water	water	PROPN
ajst-30889	29	11	conservancy	conservancy	NOUN
ajst-30889	29	12	project	project	NOUN
ajst-30889	29	13	is	be	AUX
ajst-30889	29	14	located	locate	VERB
ajst-30889	29	15	in	in	ADP
ajst-30889	29	16	xiaolangdi	xiaolangdi	PROPN
ajst-30889	29	17	,	,	PUNCT
ajst-30889	29	18	mengjin	mengjin	PROPN
ajst-30889	29	19	county	county	PROPN
ajst-30889	29	20	,	,	PUNCT
ajst-30889	29	21	luoyang	luoyang	PROPN
ajst-30889	29	22	city	city	PROPN
ajst-30889	29	23	,	,	PUNCT
ajst-30889	29	24	henan	henan	PROPN
ajst-30889	29	25	province	province	PROPN
ajst-30889	29	26	,	,	PUNCT
ajst-30889	29	27	china	china	PROPN
ajst-30889	29	28	.	.	PUNCT
ajst-30889	30	1	it	it	PRON
ajst-30889	30	2	is	be	AUX
ajst-30889	30	3	a	a	DET
ajst-30889	30	4	large	large	ADJ
ajst-30889	30	5	-	-	PUNCT
ajst-30889	30	6	scale	scale	NOUN
ajst-30889	30	7	water	water	NOUN
ajst-30889	30	8	conservancy	conservancy	NOUN
ajst-30889	30	9	project	project	NOUN
ajst-30889	30	10	with	with	ADP
ajst-30889	30	11	flood	flood	NOUN
ajst-30889	30	12	control	control	NOUN
ajst-30889	30	13	,	,	PUNCT
ajst-30889	30	14	irrigation	irrigation	NOUN
ajst-30889	30	15	,	,	PUNCT
ajst-30889	30	16	power	power	NOUN
ajst-30889	30	17	generation	generation	NOUN
ajst-30889	30	18	and	and	CCONJ
ajst-30889	30	19	other	other	ADJ
ajst-30889	30	20	functions	function	NOUN
ajst-30889	30	21	.	.	PUNCT
ajst-30889	31	1	it	it	PRON
ajst-30889	31	2	is	be	AUX
ajst-30889	31	3	mainly	mainly	ADV
ajst-30889	31	4	composed	compose	VERB
ajst-30889	31	5	of	of	ADP
ajst-30889	31	6	dam	dam	NOUN
ajst-30889	31	7	engineering	engineering	NOUN
ajst-30889	31	8	,	,	PUNCT
ajst-30889	31	9	76	76	NUM
ajst-30889	31	10	flood	flood	NOUN
ajst-30889	31	11	discharge	discharge	NOUN
ajst-30889	31	12	engineering	engineering	NOUN
ajst-30889	31	13	and	and	CCONJ
ajst-30889	31	14	power	power	NOUN
ajst-30889	31	15	generation	generation	NOUN
ajst-30889	31	16	engineering	engineering	NOUN
ajst-30889	31	17	.	.	PUNCT
ajst-30889	32	1	the	the	DET
ajst-30889	32	2	dam	dam	NOUN
ajst-30889	32	3	is	be	AUX
ajst-30889	32	4	built	build	VERB
ajst-30889	32	5	on	on	ADP
ajst-30889	32	6	a	a	DET
ajst-30889	32	7	overburden	overburden	ADJ
ajst-30889	32	8	layer	layer	NOUN
ajst-30889	32	9	with	with	ADP
ajst-30889	32	10	a	a	DET
ajst-30889	32	11	depth	depth	NOUN
ajst-30889	32	12	of	of	ADP
ajst-30889	32	13	more	more	ADJ
ajst-30889	32	14	than	than	ADP
ajst-30889	32	15	70	70	NUM
ajst-30889	32	16	meters	meter	NOUN
ajst-30889	32	17	,	,	PUNCT
ajst-30889	32	18	with	with	ADP
ajst-30889	32	19	a	a	DET
ajst-30889	32	20	maximum	maximum	ADJ
ajst-30889	32	21	height	height	NOUN
ajst-30889	32	22	of	of	ADP
ajst-30889	32	23	154	154	NUM
ajst-30889	32	24	meters	meter	NOUN
ajst-30889	32	25	.	.	PUNCT
ajst-30889	33	1	the	the	DET
ajst-30889	33	2	total	total	ADJ
ajst-30889	33	3	length	length	NOUN
ajst-30889	33	4	of	of	ADP
ajst-30889	33	5	the	the	DET
ajst-30889	33	6	dam	dam	NOUN
ajst-30889	33	7	crest	crest	NOUN
ajst-30889	33	8	reaches	reach	VERB
ajst-30889	33	9	1667	1667	NUM
ajst-30889	33	10	meters	meter	NOUN
ajst-30889	33	11	,	,	PUNCT
ajst-30889	33	12	and	and	CCONJ
ajst-30889	33	13	the	the	DET
ajst-30889	33	14	total	total	ADJ
ajst-30889	33	15	volume	volume	NOUN
ajst-30889	33	16	reaches	reach	VERB
ajst-30889	33	17	50	50	NUM
ajst-30889	33	18	million	million	NUM
ajst-30889	33	19	cubic	cubic	ADJ
ajst-30889	33	20	meters	meter	NOUN
ajst-30889	33	21	.	.	PUNCT
ajst-30889	34	1	the	the	DET
ajst-30889	34	2	dam	dam	NOUN
ajst-30889	34	3	type	type	NOUN
ajst-30889	34	4	is	be	AUX
ajst-30889	34	5	a	a	DET
ajst-30889	34	6	loam	loam	PROPN
ajst-30889	34	7	inclined	incline	VERB
ajst-30889	34	8	core	core	PROPN
ajst-30889	34	9	wall	wall	PROPN
ajst-30889	34	10	rockfill	rockfill	PROPN
ajst-30889	34	11	dam	dam	PROPN
ajst-30889	34	12	,	,	PUNCT
ajst-30889	34	13	and	and	CCONJ
ajst-30889	34	14	a	a	DET
ajst-30889	34	15	concrete	concrete	ADJ
ajst-30889	34	16	cut	cut	NOUN
ajst-30889	34	17	-	-	PUNCT
ajst-30889	34	18	off	off	ADP
ajst-30889	34	19	wall	wall	NOUN
ajst-30889	34	20	with	with	ADP
ajst-30889	34	21	a	a	DET
ajst-30889	34	22	depth	depth	NOUN
ajst-30889	34	23	of	of	ADP
ajst-30889	34	24	more	more	ADJ
ajst-30889	34	25	than	than	ADP
ajst-30889	34	26	80	80	NUM
ajst-30889	34	27	meters	meter	NOUN
ajst-30889	34	28	is	be	AUX
ajst-30889	34	29	applied	apply	VERB
ajst-30889	34	30	.	.	PUNCT
ajst-30889	35	1	the	the	DET
ajst-30889	35	2	sanmenxia	sanmenxia	PROPN
ajst-30889	35	3	dam	dam	PROPN
ajst-30889	35	4	is	be	AUX
ajst-30889	35	5	130	130	NUM
ajst-30889	35	6	kilometers	kilometer	NOUN
ajst-30889	35	7	above	above	ADP
ajst-30889	35	8	the	the	DET
ajst-30889	35	9	dam	dam	NOUN
ajst-30889	35	10	project	project	NOUN
ajst-30889	35	11	,	,	PUNCT
ajst-30889	35	12	and	and	CCONJ
ajst-30889	35	13	the	the	DET
ajst-30889	35	14	huang	huang	PROPN
ajst-30889	35	15	-	-	PUNCT
ajst-30889	35	16	huai	huai	PROPN
ajst-30889	35	17	-	-	PUNCT
ajst-30889	35	18	hai	hai	NOUN
ajst-30889	35	19	plain	plain	PROPN
ajst-30889	35	20	is	be	AUX
ajst-30889	35	21	downwards	downward	NOUN
ajst-30889	35	22	.	.	PUNCT
ajst-30889	36	1	the	the	DET
ajst-30889	36	2	total	total	ADJ
ajst-30889	36	3	capacity	capacity	NOUN
ajst-30889	36	4	of	of	ADP
ajst-30889	36	5	the	the	DET
ajst-30889	36	6	reservoir	reservoir	NOUN
ajst-30889	36	7	is	be	AUX
ajst-30889	36	8	as	as	ADV
ajst-30889	36	9	high	high	ADJ
ajst-30889	36	10	as	as	ADP
ajst-30889	36	11	12.65	12.65	NUM
ajst-30889	36	12	billion	billion	NUM
ajst-30889	36	13	cubic	cubic	ADJ
ajst-30889	36	14	meters	meter	NOUN
ajst-30889	36	15	,	,	PUNCT
ajst-30889	36	16	controlling	control	VERB
ajst-30889	36	17	nearly	nearly	ADV
ajst-30889	36	18	100	100	NUM
ajst-30889	36	19	%	%	NOUN
ajst-30889	36	20	of	of	ADP
ajst-30889	36	21	the	the	DET
ajst-30889	36	22	yellow	yellow	PROPN
ajst-30889	36	23	river	river	PROPN
ajst-30889	36	24	sediment	sediment	NOUN
ajst-30889	36	25	above	above	ADP
ajst-30889	36	26	the	the	DET
ajst-30889	36	27	huayuankou	huayuankou	NOUN
ajst-30889	36	28	of	of	ADP
ajst-30889	36	29	the	the	DET
ajst-30889	36	30	yellow	yellow	PROPN
ajst-30889	36	31	river	river	NOUN
ajst-30889	36	32	,	,	PUNCT
ajst-30889	36	33	and	and	CCONJ
ajst-30889	36	34	its	its	PRON
ajst-30889	36	35	power	power	NOUN
ajst-30889	36	36	station	station	NOUN
ajst-30889	36	37	is	be	AUX
ajst-30889	36	38	installed	instal	VERB
ajst-30889	36	39	6	6	NUM
ajst-30889	36	40	units	unit	NOUN
ajst-30889	36	41	,	,	PUNCT
ajst-30889	36	42	with	with	ADP
ajst-30889	36	43	a	a	DET
ajst-30889	36	44	total	total	ADJ
ajst-30889	36	45	capacity	capacity	NOUN
ajst-30889	36	46	of	of	ADP
ajst-30889	36	47	1.8	1.8	NUM
ajst-30889	36	48	million	million	NUM
ajst-30889	36	49	kilowatts	kilowatt	NOUN
ajst-30889	36	50	,	,	PUNCT
ajst-30889	36	51	and	and	CCONJ
ajst-30889	36	52	annual	annual	ADJ
ajst-30889	36	53	power	power	NOUN
ajst-30889	36	54	generation	generation	NOUN
ajst-30889	36	55	is	be	AUX
ajst-30889	36	56	close	close	ADJ
ajst-30889	36	57	to	to	ADP
ajst-30889	36	58	5.1	5.1	NUM
ajst-30889	36	59	billion	billion	NUM
ajst-30889	36	60	kilowatts	kilowatt	NOUN
ajst-30889	36	61	per	per	ADP
ajst-30889	36	62	hour	hour	NOUN
ajst-30889	36	63	.	.	PUNCT
ajst-30889	37	1	in	in	ADP
ajst-30889	37	2	addition	addition	NOUN
ajst-30889	37	3	,	,	PUNCT
ajst-30889	37	4	due	due	ADP
ajst-30889	37	5	to	to	ADP
ajst-30889	37	6	its	its	PRON
ajst-30889	37	7	unique	unique	ADJ
ajst-30889	37	8	hydrological	hydrological	ADJ
ajst-30889	37	9	conditions	condition	NOUN
ajst-30889	37	10	and	and	CCONJ
ajst-30889	37	11	complex	complex	ADJ
ajst-30889	37	12	terrain	terrain	NOUN
ajst-30889	37	13	and	and	CCONJ
ajst-30889	37	14	geological	geological	ADJ
ajst-30889	37	15	conditions	condition	NOUN
ajst-30889	37	16	,	,	PUNCT
ajst-30889	37	17	the	the	DET
ajst-30889	37	18	project	project	NOUN
ajst-30889	37	19	is	be	AUX
ajst-30889	37	20	considered	consider	VERB
ajst-30889	37	21	by	by	ADP
ajst-30889	37	22	experts	expert	NOUN
ajst-30889	37	23	at	at	ADP
ajst-30889	37	24	home	home	ADV
ajst-30889	37	25	and	and	CCONJ
ajst-30889	37	26	abroad	abroad	ADV
ajst-30889	37	27	to	to	PART
ajst-30889	37	28	be	be	AUX
ajst-30889	37	29	one	one	NUM
ajst-30889	37	30	of	of	ADP
ajst-30889	37	31	the	the	DET
ajst-30889	37	32	most	most	ADV
ajst-30889	37	33	challenging	challenging	ADJ
ajst-30889	37	34	dam	dam	NOUN
ajst-30889	37	35	projects	project	NOUN
ajst-30889	37	36	in	in	ADP
ajst-30889	37	37	the	the	DET
ajst-30889	37	38	history	history	NOUN
ajst-30889	37	39	of	of	ADP
ajst-30889	37	40	dam	dam	NOUN
ajst-30889	37	41	engineering	engineering	NOUN
ajst-30889	37	42	in	in	ADP
ajst-30889	37	43	the	the	DET
ajst-30889	37	44	world	world	NOUN
ajst-30889	37	45	.	.	PUNCT
ajst-30889	38	1	figure	figure	VERB
ajst-30889	38	2	1	1	NUM
ajst-30889	38	3	.	.	PUNCT
ajst-30889	39	1	picture	picture	NOUN
ajst-30889	39	2	of	of	ADP
ajst-30889	39	3	the	the	DET
ajst-30889	39	4	study	study	NOUN
ajst-30889	39	5	area	area	NOUN
ajst-30889	39	6	2.2	2.2	NUM
ajst-30889	39	7	.	.	PUNCT
ajst-30889	40	1	data	datum	NOUN
ajst-30889	40	2	source	source	NOUN
ajst-30889	40	3	according	accord	VERB
ajst-30889	40	4	to	to	ADP
ajst-30889	40	5	the	the	DET
ajst-30889	40	6	stress	stress	NOUN
ajst-30889	40	7	and	and	CCONJ
ajst-30889	40	8	deformation	deformation	NOUN
ajst-30889	40	9	law	law	NOUN
ajst-30889	40	10	of	of	ADP
ajst-30889	40	11	the	the	DET
ajst-30889	40	12	dam	dam	NOUN
ajst-30889	40	13	,	,	PUNCT
ajst-30889	40	14	the	the	DET
ajst-30889	40	15	deformation	deformation	NOUN
ajst-30889	40	16	of	of	ADP
ajst-30889	40	17	the	the	DET
ajst-30889	40	18	dam	dam	NOUN
ajst-30889	40	19	is	be	AUX
ajst-30889	40	20	relatively	relatively	ADV
ajst-30889	40	21	small	small	ADJ
ajst-30889	40	22	in	in	ADP
ajst-30889	40	23	the	the	DET
ajst-30889	40	24	direction	direction	NOUN
ajst-30889	40	25	along	along	ADP
ajst-30889	40	26	the	the	DET
ajst-30889	40	27	dam	dam	NOUN
ajst-30889	40	28	axis	axis	NOUN
ajst-30889	40	29	,	,	PUNCT
ajst-30889	40	30	and	and	CCONJ
ajst-30889	40	31	the	the	DET
ajst-30889	40	32	main	main	ADJ
ajst-30889	40	33	deformation	deformation	NOUN
ajst-30889	40	34	direction	direction	NOUN
ajst-30889	40	35	is	be	AUX
ajst-30889	40	36	perpendicular	perpendicular	ADJ
ajst-30889	40	37	to	to	ADP
ajst-30889	40	38	the	the	DET
ajst-30889	40	39	dam	dam	NOUN
ajst-30889	40	40	axis	axis	NOUN
ajst-30889	40	41	.	.	PUNCT
ajst-30889	41	1	therefore	therefore	ADV
ajst-30889	41	2	,	,	PUNCT
ajst-30889	41	3	this	this	DET
ajst-30889	41	4	paper	paper	NOUN
ajst-30889	41	5	only	only	ADV
ajst-30889	41	6	analyzes	analyze	VERB
ajst-30889	41	7	the	the	DET
ajst-30889	41	8	horizontal	horizontal	ADJ
ajst-30889	41	9	displacement	displacement	ADJ
ajst-30889	41	10	data	datum	NOUN
ajst-30889	41	11	of	of	ADP
ajst-30889	41	12	xiaolangdi	xiaolangdi	PROPN
ajst-30889	41	13	dam	dam	NOUN
ajst-30889	41	14	perpendicular	perpendicular	NOUN
ajst-30889	41	15	to	to	ADP
ajst-30889	41	16	the	the	DET
ajst-30889	41	17	axis	axis	ADJ
ajst-30889	41	18	direction	direction	NOUN
ajst-30889	41	19	.	.	PUNCT
ajst-30889	42	1	we	we	PRON
ajst-30889	42	2	selected	select	VERB
ajst-30889	42	3	the	the	DET
ajst-30889	42	4	horizontal	horizontal	ADJ
ajst-30889	42	5	displacement	displacement	ADJ
ajst-30889	42	6	deformation	deformation	NOUN
ajst-30889	42	7	data	datum	NOUN
ajst-30889	42	8	of	of	ADP
ajst-30889	42	9	a	a	DET
ajst-30889	42	10	monitoring	monitoring	NOUN
ajst-30889	42	11	point	point	NOUN
ajst-30889	42	12	of	of	ADP
ajst-30889	42	13	xiaolangdi	xiaolangdi	PROPN
ajst-30889	42	14	dam	dam	NOUN
ajst-30889	42	15	for	for	ADP
ajst-30889	42	16	a	a	DET
ajst-30889	42	17	total	total	NOUN
ajst-30889	42	18	of	of	ADP
ajst-30889	42	19	52	52	NUM
ajst-30889	42	20	experiments	experiment	NOUN
ajst-30889	42	21	.	.	PUNCT
ajst-30889	43	1	the	the	DET
ajst-30889	43	2	experimental	experimental	ADJ
ajst-30889	43	3	data	datum	NOUN
ajst-30889	43	4	are	be	AUX
ajst-30889	43	5	shown	show	VERB
ajst-30889	43	6	in	in	ADP
ajst-30889	43	7	table	table	NOUN
ajst-30889	43	8	1	1	NUM
ajst-30889	43	9	.	.	NOUN
ajst-30889	44	1	3	3	X
ajst-30889	44	2	.	.	X
ajst-30889	44	3	establishment	establishment	NOUN
ajst-30889	44	4	of	of	ADP
ajst-30889	44	5	wnn	wnn	PROPN
ajst-30889	44	6	prediction	prediction	NOUN
ajst-30889	44	7	model	model	NOUN
ajst-30889	44	8	wavelet	wavelet	PROPN
ajst-30889	44	9	neural	neural	PROPN
ajst-30889	44	10	network	network	NOUN
ajst-30889	44	11	is	be	AUX
ajst-30889	44	12	a	a	DET
ajst-30889	44	13	kind	kind	NOUN
ajst-30889	44	14	of	of	ADP
ajst-30889	44	15	neural	neural	ADJ
ajst-30889	44	16	network	network	NOUN
ajst-30889	44	17	based	base	VERB
ajst-30889	44	18	on	on	ADP
ajst-30889	44	19	the	the	DET
ajst-30889	44	20	topological	topological	ADJ
ajst-30889	44	21	structure	structure	NOUN
ajst-30889	44	22	of	of	ADP
ajst-30889	44	23	bp	bp	PROPN
ajst-30889	44	24	neural	neural	ADJ
ajst-30889	44	25	network	network	NOUN
ajst-30889	44	26	.	.	PUNCT
ajst-30889	45	1	the	the	DET
ajst-30889	45	2	wavelet	wavelet	PROPN
ajst-30889	45	3	basis	basis	NOUN
ajst-30889	45	4	function	function	NOUN
ajst-30889	45	5	is	be	AUX
ajst-30889	45	6	used	use	VERB
ajst-30889	45	7	as	as	ADP
ajst-30889	45	8	the	the	DET
ajst-30889	45	9	transfer	transfer	NOUN
ajst-30889	45	10	function	function	NOUN
ajst-30889	45	11	of	of	ADP
ajst-30889	45	12	the	the	DET
ajst-30889	45	13	hidden	hide	VERB
ajst-30889	45	14	layer	layer	NOUN
ajst-30889	45	15	node	node	NOUN
ajst-30889	45	16	.	.	PUNCT
ajst-30889	46	1	the	the	DET
ajst-30889	46	2	signal	signal	NOUN
ajst-30889	46	3	propagates	propagate	VERB
ajst-30889	46	4	forward	forward	ADV
ajst-30889	46	5	and	and	CCONJ
ajst-30889	46	6	the	the	DET
ajst-30889	46	7	error	error	NOUN
ajst-30889	46	8	propagates	propagate	VERB
ajst-30889	46	9	backward[8	backward[8	ADV
ajst-30889	46	10	]	]	PUNCT
ajst-30889	46	11	.	.	PUNCT
ajst-30889	47	1	let	let	VERB
ajst-30889	47	2	x1,x2,x3,	x1,x2,x3,	NOUN
ajst-30889	47	3	…	…	PUNCT
ajst-30889	47	4	…	…	PUNCT
ajst-30889	47	5	,xk	,xk	PUNCT
ajst-30889	47	6	be	be	AUX
ajst-30889	47	7	the	the	DET
ajst-30889	47	8	input	input	NOUN
ajst-30889	47	9	value	value	NOUN
ajst-30889	47	10	of	of	ADP
ajst-30889	47	11	the	the	DET
ajst-30889	47	12	wavelet	wavelet	NOUN
ajst-30889	47	13	neural	neural	ADJ
ajst-30889	47	14	network	network	NOUN
ajst-30889	47	15	,	,	PUNCT
ajst-30889	47	16	y1,y2,y3,	y1,y2,y3,	PROPN
ajst-30889	47	17	…	…	PUNCT
ajst-30889	47	18	…	…	PUNCT
ajst-30889	47	19	,ym	,ym	NUM
ajst-30889	47	20	be	be	VERB
ajst-30889	47	21	the	the	DET
ajst-30889	47	22	output	output	NOUN
ajst-30889	47	23	value	value	NOUN
ajst-30889	47	24	of	of	ADP
ajst-30889	47	25	the	the	DET
ajst-30889	47	26	wavelet	wavelet	NOUN
ajst-30889	47	27	neural	neural	ADJ
ajst-30889	47	28	network	network	NOUN
ajst-30889	47	29	,	,	PUNCT
ajst-30889	47	30	ωij	ωij	AUX
ajst-30889	47	31	be	be	AUX
ajst-30889	47	32	the	the	DET
ajst-30889	47	33	weight	weight	NOUN
ajst-30889	47	34	between	between	ADP
ajst-30889	47	35	the	the	DET
ajst-30889	47	36	input	input	NOUN
ajst-30889	47	37	layer	layer	NOUN
ajst-30889	47	38	node	node	NOUN
ajst-30889	47	39	and	and	CCONJ
ajst-30889	47	40	the	the	DET
ajst-30889	47	41	hidden	hide	VERB
ajst-30889	47	42	layer	layer	NOUN
ajst-30889	47	43	node	node	NOUN
ajst-30889	47	44	,	,	PUNCT
ajst-30889	47	45	ωjk	ωjk	NOUN
ajst-30889	47	46	be	be	VERB
ajst-30889	47	47	the	the	DET
ajst-30889	47	48	weight	weight	NOUN
ajst-30889	47	49	between	between	ADP
ajst-30889	47	50	the	the	DET
ajst-30889	47	51	hidden	hide	VERB
ajst-30889	47	52	layer	layer	NOUN
ajst-30889	47	53	node	node	NOUN
ajst-30889	47	54	and	and	CCONJ
ajst-30889	47	55	the	the	DET
ajst-30889	47	56	output	output	NOUN
ajst-30889	47	57	layer	layer	NOUN
ajst-30889	47	58	node	node	NOUN
ajst-30889	47	59	.	.	PUNCT
ajst-30889	48	1	when	when	SCONJ
ajst-30889	48	2	the	the	DET
ajst-30889	48	3	input	input	NOUN
ajst-30889	48	4	signal	signal	NOUN
ajst-30889	48	5	sequence	sequence	NOUN
ajst-30889	48	6	is	be	AUX
ajst-30889	48	7	xi(i=1,2,3,	xi(i=1,2,3,	NOUN
ajst-30889	48	8	…	…	SYM
ajst-30889	48	9	…	…	PUNCT
ajst-30889	48	10	,k	,k	NUM
ajst-30889	48	11	)	)	PUNCT
ajst-30889	48	12	,	,	PUNCT
ajst-30889	48	13	the	the	DET
ajst-30889	48	14	hidden	hide	VERB
ajst-30889	48	15	layer	layer	NOUN
ajst-30889	48	16	output	output	NOUN
ajst-30889	48	17	calculation	calculation	NOUN
ajst-30889	48	18	formula	formula	NOUN
ajst-30889	48	19	is	be	AUX
ajst-30889	48	20	:	:	PUNCT
ajst-30889	48	21	1	1	NUM
ajst-30889	48	22	(	(	PUNCT
ajst-30889	48	23	)	)	PUNCT
ajst-30889	48	24	1	1	NUM
ajst-30889	48	25	,	,	PUNCT
ajst-30889	48	26	2,3	2,3	NUM
ajst-30889	48	27	,	,	PUNCT
ajst-30889	48	28	k	k	PROPN
ajst-30889	49	1	ij	ij	INTJ
ajst-30889	50	1	i	i	INTJ
ajst-30889	50	2	j	j	PROPN
ajst-30889	51	1	i	i	PRON
ajst-30889	51	2	j	j	PROPN
ajst-30889	52	1	j	j	PROPN
ajst-30889	52	2	x	x	X
ajst-30889	52	3	b	b	PROPN
ajst-30889	52	4	h	h	NOUN
ajst-30889	52	5	j	j	PROPN
ajst-30889	52	6	h	h	PROPN
ajst-30889	53	1	j	j	PROPN
ajst-30889	53	2	l	l	NOUN
ajst-30889	53	3	a	a	DET
ajst-30889	53	4			PROPN
ajst-30889	53	5			PROPN
ajst-30889	53	6			NOUN
ajst-30889	53	7			PROPN
ajst-30889	54	1			PROPN
ajst-30889	54	2			PROPN
ajst-30889	55	1			PROPN
ajst-30889	55	2			NOUN
ajst-30889	56	1			PROPN
ajst-30889	57	1			PROPN
ajst-30889	58	1			INTJ
ajst-30889	59	1			PROPN
ajst-30889	59	2			PROPN
ajst-30889	60	1			PROPN
ajst-30889	60	2			NOUN
ajst-30889	60	3			X
ajst-30889	60	4	…	…	PUNCT
ajst-30889	60	5	,	,	PUNCT
ajst-30889	60	6	(	(	PUNCT
ajst-30889	60	7	1	1	X
ajst-30889	60	8	)	)	PUNCT
ajst-30889	60	9	where	where	SCONJ
ajst-30889	60	10	h	h	NOUN
ajst-30889	60	11	(	(	PUNCT
ajst-30889	60	12	j	j	PROPN
ajst-30889	60	13	)	)	PUNCT
ajst-30889	60	14	is	be	AUX
ajst-30889	60	15	the	the	DET
ajst-30889	60	16	output	output	NOUN
ajst-30889	60	17	value	value	NOUN
ajst-30889	60	18	of	of	ADP
ajst-30889	60	19	the	the	DET
ajst-30889	60	20	j	j	PROPN
ajst-30889	60	21	node	node	NOUN
ajst-30889	60	22	of	of	ADP
ajst-30889	60	23	the	the	DET
ajst-30889	60	24	hidden	hide	VERB
ajst-30889	60	25	layer	layer	NOUN
ajst-30889	60	26	;	;	PUNCT
ajst-30889	60	27	ωij	ωij	PROPN
ajst-30889	60	28	is	be	AUX
ajst-30889	60	29	the	the	DET
ajst-30889	60	30	weight	weight	NOUN
ajst-30889	60	31	between	between	ADP
ajst-30889	60	32	the	the	DET
ajst-30889	60	33	input	input	NOUN
ajst-30889	60	34	layer	layer	NOUN
ajst-30889	60	35	and	and	CCONJ
ajst-30889	60	36	the	the	DET
ajst-30889	60	37	hidden	hidden	ADJ
ajst-30889	60	38	layer	layer	NOUN
ajst-30889	60	39	of	of	ADP
ajst-30889	60	40	the	the	DET
ajst-30889	60	41	wavelet	wavelet	NOUN
ajst-30889	60	42	neural	neural	ADJ
ajst-30889	60	43	network	network	NOUN
ajst-30889	60	44	;	;	PUNCT
ajst-30889	60	45	bj	bj	NOUN
ajst-30889	60	46	is	be	AUX
ajst-30889	60	47	the	the	DET
ajst-30889	60	48	translation	translation	NOUN
ajst-30889	60	49	factor	factor	NOUN
ajst-30889	60	50	of	of	ADP
ajst-30889	60	51	the	the	DET
ajst-30889	60	52	wavelet	wavelet	NOUN
ajst-30889	60	53	basis	basis	NOUN
ajst-30889	60	54	function	function	NOUN
ajst-30889	60	55	hj	hj	PROPN
ajst-30889	60	56	;	;	PUNCT
ajst-30889	60	57	aj	aj	PROPN
ajst-30889	60	58	is	be	AUX
ajst-30889	60	59	the	the	DET
ajst-30889	60	60	scaling	scale	VERB
ajst-30889	60	61	factor	factor	NOUN
ajst-30889	60	62	;	;	PUNCT
ajst-30889	60	63	hj	hj	PROPN
ajst-30889	60	64	is	be	AUX
ajst-30889	60	65	the	the	DET
ajst-30889	60	66	wavelet	wavelet	NOUN
ajst-30889	60	67	basis	basis	NOUN
ajst-30889	60	68	function	function	NOUN
ajst-30889	60	69	.	.	PUNCT
ajst-30889	61	1	the	the	DET
ajst-30889	61	2	network	network	NOUN
ajst-30889	61	3	output	output	NOUN
ajst-30889	61	4	layer	layer	NOUN
ajst-30889	61	5	formula	formula	NOUN
ajst-30889	61	6	of	of	ADP
ajst-30889	61	7	wavelet	wavelet	NOUN
ajst-30889	61	8	neural	neural	ADJ
ajst-30889	61	9	network	network	NOUN
ajst-30889	61	10	is	be	AUX
ajst-30889	61	11	as	as	SCONJ
ajst-30889	61	12	follows	follow	VERB
ajst-30889	61	13	:	:	PUNCT
ajst-30889	61	14	1	1	NUM
ajst-30889	61	15	(	(	PUNCT
ajst-30889	61	16	)	)	PUNCT
ajst-30889	61	17	(	(	PUNCT
ajst-30889	61	18	)	)	PUNCT
ajst-30889	61	19	1,2,3	1,2,3	NUM
ajst-30889	61	20	,	,	PUNCT
ajst-30889	61	21	l	l	PROPN
ajst-30889	61	22	ik	ik	PROPN
ajst-30889	62	1	i	i	PRON
ajst-30889	62	2	y	y	PROPN
ajst-30889	62	3	k	k	INTJ
ajst-30889	63	1	h	h	NOUN
ajst-30889	64	1	i	i	PRON
ajst-30889	64	2	k	k	PROPN
ajst-30889	64	3	m	m	PROPN
ajst-30889	65	1			PROPN
ajst-30889	65	2			NUM
ajst-30889	65	3			X
ajst-30889	65	4	…	…	PUNCT
ajst-30889	65	5	,	,	PUNCT
ajst-30889	65	6	(	(	PUNCT
ajst-30889	65	7	2	2	X
ajst-30889	65	8	)	)	PUNCT
ajst-30889	65	9	in	in	ADP
ajst-30889	65	10	the	the	DET
ajst-30889	65	11	formula	formula	NOUN
ajst-30889	65	12	,	,	PUNCT
ajst-30889	65	13	ωik	ωik	NOUN
ajst-30889	65	14	represents	represent	VERB
ajst-30889	65	15	the	the	DET
ajst-30889	65	16	weight	weight	NOUN
ajst-30889	65	17	between	between	ADP
ajst-30889	65	18	the	the	DET
ajst-30889	65	19	hidden	hide	VERB
ajst-30889	65	20	layer	layer	NOUN
ajst-30889	65	21	and	and	CCONJ
ajst-30889	65	22	the	the	DET
ajst-30889	65	23	output	output	NOUN
ajst-30889	65	24	layer	layer	NOUN
ajst-30889	65	25	;	;	PUNCT
ajst-30889	65	26	h(i	h(i	NOUN
ajst-30889	65	27	)	)	PUNCT
ajst-30889	65	28	denotes	denote	VERB
ajst-30889	65	29	the	the	DET
ajst-30889	65	30	output	output	NOUN
ajst-30889	65	31	corresponding	correspond	VERB
ajst-30889	65	32	to	to	ADP
ajst-30889	65	33	the	the	DET
ajst-30889	65	34	cth	cth	PROPN
ajst-30889	65	35	hidden	hide	VERB
ajst-30889	65	36	layer	layer	NOUN
ajst-30889	65	37	node	node	NOUN
ajst-30889	65	38	;	;	PUNCT
ajst-30889	65	39	l	l	NOUN
ajst-30889	65	40	represents	represent	VERB
ajst-30889	65	41	the	the	DET
ajst-30889	65	42	number	number	NOUN
ajst-30889	65	43	of	of	ADP
ajst-30889	65	44	nodes	node	NOUN
ajst-30889	65	45	corresponding	correspond	VERB
ajst-30889	65	46	to	to	ADP
ajst-30889	65	47	the	the	DET
ajst-30889	65	48	hidden	hide	VERB
ajst-30889	65	49	layer	layer	NOUN
ajst-30889	65	50	;	;	PUNCT
ajst-30889	65	51	m	m	VERB
ajst-30889	65	52	represents	represent	VERB
ajst-30889	65	53	the	the	DET
ajst-30889	65	54	number	number	NOUN
ajst-30889	65	55	of	of	ADP
ajst-30889	65	56	nodes	node	NOUN
ajst-30889	65	57	corresponding	correspond	VERB
ajst-30889	65	58	to	to	ADP
ajst-30889	65	59	the	the	DET
ajst-30889	65	60	output	output	NOUN
ajst-30889	65	61	layer	layer	NOUN
ajst-30889	65	62	;	;	PUNCT
ajst-30889	65	63	the	the	DET
ajst-30889	65	64	basic	basic	ADJ
ajst-30889	65	65	principle	principle	NOUN
ajst-30889	65	66	of	of	ADP
ajst-30889	65	67	wavelet	wavelet	NOUN
ajst-30889	65	68	neural	neural	ADJ
ajst-30889	65	69	network	network	NOUN
ajst-30889	65	70	is	be	AUX
ajst-30889	65	71	very	very	ADV
ajst-30889	65	72	close	close	ADJ
ajst-30889	65	73	to	to	ADP
ajst-30889	65	74	that	that	PRON
ajst-30889	65	75	of	of	ADP
ajst-30889	65	76	bp	bp	PROPN
ajst-30889	65	77	neural	neural	ADJ
ajst-30889	65	78	network	network	NOUN
ajst-30889	65	79	.	.	PUNCT
ajst-30889	66	1	they	they	PRON
ajst-30889	66	2	both	both	PRON
ajst-30889	66	3	use	use	VERB
ajst-30889	66	4	gradient	gradient	ADJ
ajst-30889	66	5	correction	correction	NOUN
ajst-30889	66	6	algorithm	algorithm	NOUN
ajst-30889	66	7	to	to	PART
ajst-30889	66	8	correct	correct	VERB
ajst-30889	66	9	the	the	DET
ajst-30889	66	10	network	network	NOUN
ajst-30889	66	11	weights	weight	NOUN
ajst-30889	66	12	.	.	PUNCT
ajst-30889	67	1	this	this	DET
ajst-30889	67	2	correction	correction	NOUN
ajst-30889	67	3	method	method	NOUN
ajst-30889	67	4	can	can	AUX
ajst-30889	67	5	make	make	VERB
ajst-30889	67	6	the	the	DET
ajst-30889	67	7	predicted	predict	VERB
ajst-30889	67	8	value	value	NOUN
ajst-30889	67	9	of	of	ADP
ajst-30889	67	10	wavelet	wavelet	NOUN
ajst-30889	67	11	neural	neural	ADJ
ajst-30889	67	12	network	network	NOUN
ajst-30889	67	13	continuously	continuously	ADV
ajst-30889	67	14	approach	approach	VERB
ajst-30889	67	15	the	the	DET
ajst-30889	67	16	expected	expect	VERB
ajst-30889	67	17	value	value	NOUN
ajst-30889	67	18	.	.	PUNCT
ajst-30889	68	1	its	its	PRON
ajst-30889	68	2	correction	correction	NOUN
ajst-30889	68	3	algorithm	algorithm	NOUN
ajst-30889	68	4	is	be	AUX
ajst-30889	68	5	as	as	SCONJ
ajst-30889	68	6	follows	follow	VERB
ajst-30889	68	7	:	:	PUNCT
ajst-30889	68	8	(	(	PUNCT
ajst-30889	68	9	1	1	X
ajst-30889	68	10	)	)	PUNCT
ajst-30889	68	11	firstly	firstly	ADV
ajst-30889	68	12	,	,	PUNCT
ajst-30889	68	13	the	the	DET
ajst-30889	68	14	error	error	NOUN
ajst-30889	68	15	of	of	ADP
ajst-30889	68	16	network	network	NOUN
ajst-30889	68	17	prediction	prediction	NOUN
ajst-30889	68	18	is	be	AUX
ajst-30889	68	19	calculated	calculate	VERB
ajst-30889	68	20	.	.	PUNCT
ajst-30889	69	1	1	1	NUM
ajst-30889	69	2	(	(	PUNCT
ajst-30889	69	3	)	)	PUNCT
ajst-30889	69	4	(	(	PUNCT
ajst-30889	69	5	)	)	PUNCT
ajst-30889	69	6	m	m	VERB
ajst-30889	69	7	k	k	NOUN
ajst-30889	70	1	e	e	X
ajst-30889	70	2	yn	yn	PROPN
ajst-30889	71	1	k	k	PROPN
ajst-30889	71	2	y	y	PROPN
ajst-30889	72	1	k	k	PROPN
ajst-30889	73	1			PROPN
ajst-30889	73	2			NUM
ajst-30889	74	1			X
ajst-30889	74	2	(	(	PUNCT
ajst-30889	74	3	3	3	NUM
ajst-30889	74	4	)	)	PUNCT
ajst-30889	74	5	where	where	SCONJ
ajst-30889	74	6	yn(k	yn(k	NUM
ajst-30889	74	7	)	)	PUNCT
ajst-30889	74	8	represents	represent	VERB
ajst-30889	74	9	the	the	DET
ajst-30889	74	10	expected	expect	VERB
ajst-30889	74	11	output	output	NOUN
ajst-30889	74	12	;	;	PUNCT
ajst-30889	74	13	y(k	y(k	PROPN
ajst-30889	74	14	)	)	PUNCT
ajst-30889	74	15	denotes	denote	VERB
ajst-30889	74	16	the	the	DET
ajst-30889	74	17	output	output	NOUN
ajst-30889	74	18	of	of	ADP
ajst-30889	74	19	network	network	NOUN
ajst-30889	74	20	prediction	prediction	NOUN
ajst-30889	74	21	.	.	PUNCT
ajst-30889	75	1	(	(	PUNCT
ajst-30889	75	2	2	2	NUM
ajst-30889	75	3	)	)	PUNCT
ajst-30889	75	4	according	accord	VERB
ajst-30889	75	5	to	to	ADP
ajst-30889	75	6	the	the	DET
ajst-30889	75	7	error	error	NOUN
ajst-30889	75	8	e	e	NOUN
ajst-30889	75	9	,	,	PUNCT
ajst-30889	75	10	the	the	DET
ajst-30889	75	11	weights	weight	NOUN
ajst-30889	75	12	of	of	ADP
ajst-30889	75	13	wavelet	wavelet	NOUN
ajst-30889	75	14	neural	neural	ADJ
ajst-30889	75	15	network	network	NOUN
ajst-30889	75	16	and	and	CCONJ
ajst-30889	75	17	the	the	DET
ajst-30889	75	18	coefficients	coefficient	NOUN
ajst-30889	75	19	of	of	ADP
ajst-30889	75	20	wavelet	wavelet	NOUN
ajst-30889	75	21	basis	basis	NOUN
ajst-30889	75	22	function	function	NOUN
ajst-30889	75	23	are	be	AUX
ajst-30889	75	24	corrected	correct	VERB
ajst-30889	75	25	.	.	PUNCT
ajst-30889	76	1	77	77	NUM
ajst-30889	76	2	table	table	NOUN
ajst-30889	76	3	1	1	NUM
ajst-30889	76	4	.	.	PUNCT
ajst-30889	76	5	data	datum	NOUN
ajst-30889	76	6	of	of	ADP
ajst-30889	76	7	a	a	DET
ajst-30889	76	8	monitoring	monitoring	NOUN
ajst-30889	76	9	point	point	NOUN
ajst-30889	76	10	of	of	ADP
ajst-30889	76	11	xiaolangdi	xiaolangdi	PROPN
ajst-30889	76	12	dam[7	dam[7	PROPN
ajst-30889	76	13	]	]	PUNCT
ajst-30889	76	14	number	number	NOUN
ajst-30889	76	15	of	of	ADP
ajst-30889	76	16	sample	sample	NOUN
ajst-30889	76	17	periods	period	NOUN
ajst-30889	76	18	(	(	PUNCT
ajst-30889	76	19	period	period	NOUN
ajst-30889	76	20	)	)	PUNCT
ajst-30889	76	21	water	water	NOUN
ajst-30889	76	22	level	level	NOUN
ajst-30889	76	23	(	(	PUNCT
ajst-30889	76	24	m	m	NOUN
ajst-30889	76	25	)	)	PUNCT
ajst-30889	76	26	temperature	temperature	NOUN
ajst-30889	76	27	(	(	PUNCT
ajst-30889	76	28	°	°	ADP
ajst-30889	76	29	c	c	NOUN
ajst-30889	76	30	)	)	PUNCT
ajst-30889	76	31	time	time	NOUN
ajst-30889	76	32	limit	limit	NOUN
ajst-30889	76	33	(	(	PUNCT
ajst-30889	76	34	day	day	NOUN
ajst-30889	76	35	)	)	PUNCT
ajst-30889	76	36	time	time	NOUN
ajst-30889	76	37	interval	interval	NOUN
ajst-30889	76	38	(	(	PUNCT
ajst-30889	76	39	day	day	NOUN
ajst-30889	76	40	)	)	PUNCT
ajst-30889	76	41	displacement	displacement	NOUN
ajst-30889	76	42	(	(	PUNCT
ajst-30889	76	43	dm	dm	NOUN
ajst-30889	76	44	)	)	PUNCT
ajst-30889	76	45	1	1	NUM
ajst-30889	76	46	240.9	240.9	NUM
ajst-30889	76	47	18.8	18.8	NUM
ajst-30889	76	48	0	0	NUM
ajst-30889	76	49	0	0	NUM
ajst-30889	77	1	1.56	1.56	NUM
ajst-30889	77	2	2	2	NUM
ajst-30889	77	3	237.45	237.45	NUM
ajst-30889	77	4	19	19	NUM
ajst-30889	77	5	15	15	NUM
ajst-30889	77	6	15	15	NUM
ajst-30889	77	7	0.869	0.869	NUM
ajst-30889	77	8	3	3	NUM
ajst-30889	77	9	243.26	243.26	NUM
ajst-30889	77	10	19.4	19.4	NUM
ajst-30889	77	11	33	33	NUM
ajst-30889	77	12	18	18	NUM
ajst-30889	77	13	1.683	1.683	NUM
ajst-30889	77	14	4	4	NUM
ajst-30889	77	15	234.24	234.24	NUM
ajst-30889	77	16	19.6	19.6	NUM
ajst-30889	77	17	48	48	NUM
ajst-30889	77	18	15	15	NUM
ajst-30889	77	19	2.536	2.536	NUM
ajst-30889	77	20	5	5	NUM
ajst-30889	77	21	238.5	238.5	NUM
ajst-30889	77	22	20	20	NUM
ajst-30889	77	23	62	62	NUM
ajst-30889	77	24	14	14	NUM
ajst-30889	77	25	0.412	0.412	NUM
ajst-30889	77	26	6	6	NUM
ajst-30889	77	27	237.2	237.2	NUM
ajst-30889	77	28	21.8	21.8	NUM
ajst-30889	77	29	97	97	NUM
ajst-30889	77	30	35	35	NUM
ajst-30889	77	31	-0.859	-0.859	NUM
ajst-30889	77	32	7	7	NUM
ajst-30889	77	33	243.2	243.2	NUM
ajst-30889	77	34	23	23	NUM
ajst-30889	77	35	119	119	NUM
ajst-30889	77	36	22	22	NUM
ajst-30889	77	37	-0.185	-0.185	NOUN
ajst-30889	77	38	8	8	NUM
ajst-30889	77	39	240.96	240.96	NUM
ajst-30889	77	40	24.4	24.4	NUM
ajst-30889	77	41	147	147	NUM
ajst-30889	77	42	28	28	NUM
ajst-30889	77	43	-0.842	-0.842	NUM
ajst-30889	77	44	9	9	NUM
ajst-30889	77	45	239.3	239.3	NUM
ajst-30889	77	46	25.3	25.3	NUM
ajst-30889	77	47	187	187	NUM
ajst-30889	77	48	40	40	NUM
ajst-30889	77	49	-0.932	-0.932	NUM
ajst-30889	77	50	10	10	NUM
ajst-30889	77	51	240.45	240.45	NUM
ajst-30889	77	52	25.5	25.5	NUM
ajst-30889	77	53	204	204	NUM
ajst-30889	77	54	17	17	NUM
ajst-30889	77	55	-1.132	-1.132	SYM
ajst-30889	77	56	11	11	NUM
ajst-30889	77	57	240.2	240.2	NUM
ajst-30889	77	58	25.6	25.6	NUM
ajst-30889	77	59	219	219	NUM
ajst-30889	77	60	15	15	NUM
ajst-30889	77	61	-1.339	-1.339	NUM
ajst-30889	77	62	12	12	NUM
ajst-30889	77	63	240.1	240.1	NUM
ajst-30889	77	64	25	25	NUM
ajst-30889	77	65	236	236	NUM
ajst-30889	77	66	17	17	NUM
ajst-30889	77	67	-1.478	-1.478	NUM
ajst-30889	77	68	13	13	NUM
ajst-30889	77	69	240.06	240.06	NUM
ajst-30889	77	70	24.5	24.5	NUM
ajst-30889	77	71	250	250	NUM
ajst-30889	77	72	14	14	NUM
ajst-30889	77	73	-1.216	-1.216	NUM
ajst-30889	77	74	14	14	NUM
ajst-30889	77	75	239.85	239.85	NUM
ajst-30889	77	76	24	24	NUM
ajst-30889	77	77	266	266	NUM
ajst-30889	77	78	16	16	NUM
ajst-30889	77	79	-1.138	-1.138	NUM
ajst-30889	77	80	15	15	NUM
ajst-30889	77	81	241.1	241.1	NUM
ajst-30889	77	82	23.2	23.2	NUM
ajst-30889	77	83	280	280	NUM
ajst-30889	77	84	14	14	NUM
ajst-30889	77	85	0.245	0.245	NUM
ajst-30889	77	86	16	16	NUM
ajst-30889	77	87	242.03	242.03	NUM
ajst-30889	77	88	22.3	22.3	NUM
ajst-30889	77	89	299	299	NUM
ajst-30889	77	90	19	19	NUM
ajst-30889	77	91	1.187	1.187	NUM
ajst-30889	77	92	17	17	NUM
ajst-30889	77	93	239.7	239.7	NUM
ajst-30889	77	94	21.6	21.6	NUM
ajst-30889	77	95	320	320	NUM
ajst-30889	77	96	21	21	NUM
ajst-30889	77	97	0.83	0.83	NUM
ajst-30889	77	98	18	18	NUM
ajst-30889	77	99	19	19	NUM
ajst-30889	77	100	239.36	239.36	NUM
ajst-30889	77	101	238.16	238.16	NUM
ajst-30889	77	102	20.2	20.2	NUM
ajst-30889	77	103	19.3	19.3	NUM
ajst-30889	77	104	345	345	NUM
ajst-30889	77	105	358	358	NUM
ajst-30889	77	106	25	25	NUM
ajst-30889	77	107	13	13	NUM
ajst-30889	77	108	1.388	1.388	NUM
ajst-30889	77	109	1.666	1.666	NUM
ajst-30889	77	110	20	20	NUM
ajst-30889	77	111	239.16	239.16	NUM
ajst-30889	77	112	19	19	NUM
ajst-30889	77	113	369	369	NUM
ajst-30889	77	114	11	11	NUM
ajst-30889	77	115	1.873	1.873	NUM
ajst-30889	77	116	21	21	NUM
ajst-30889	77	117	239.3	239.3	NUM
ajst-30889	77	118	19.6	19.6	NUM
ajst-30889	77	119	393	393	NUM
ajst-30889	77	120	24	24	NUM
ajst-30889	77	121	1.644	1.644	NUM
ajst-30889	77	122	22	22	NUM
ajst-30889	77	123	23	23	NUM
ajst-30889	77	124	239.2	239.2	NUM
ajst-30889	77	125	238.2	238.2	NUM
ajst-30889	77	126	20.3	20.3	NUM
ajst-30889	77	127	20.8	20.8	NUM
ajst-30889	77	128	407	407	NUM
ajst-30889	77	129	420	420	NUM
ajst-30889	77	130	14	14	NUM
ajst-30889	77	131	13	13	NUM
ajst-30889	77	132	1.36	1.36	NUM
ajst-30889	77	133	0.903	0.903	NUM
ajst-30889	77	134	24	24	NUM
ajst-30889	77	135	240.5	240.5	NUM
ajst-30889	77	136	21.4	21.4	NUM
ajst-30889	77	137	433	433	NUM
ajst-30889	77	138	13	13	NUM
ajst-30889	77	139	1.315	1.315	NUM
ajst-30889	77	140	25	25	NUM
ajst-30889	77	141	241.1	241.1	NUM
ajst-30889	77	142	22	22	NUM
ajst-30889	77	143	455	455	NUM
ajst-30889	77	144	22	22	NUM
ajst-30889	77	145	0.975	0.975	NUM
ajst-30889	77	146	26	26	NUM
ajst-30889	77	147	242.4	242.4	NUM
ajst-30889	77	148	22.4	22.4	NUM
ajst-30889	77	149	469	469	NUM
ajst-30889	77	150	14	14	NUM
ajst-30889	77	151	1.326	1.326	NUM
ajst-30889	77	152	27	27	NUM
ajst-30889	77	153	241.42	241.42	NUM
ajst-30889	77	154	23	23	NUM
ajst-30889	77	155	483	483	NUM
ajst-30889	77	156	14	14	NUM
ajst-30889	77	157	0.785	0.785	NUM
ajst-30889	77	158	28	28	NUM
ajst-30889	77	159	242.1	242.1	NUM
ajst-30889	77	160	23.5	23.5	NUM
ajst-30889	77	161	502	502	NUM
ajst-30889	77	162	19	19	NUM
ajst-30889	77	163	0.54	0.54	NUM
ajst-30889	77	164	29	29	NUM
ajst-30889	77	165	240.56	240.56	NUM
ajst-30889	77	166	24.1	24.1	NUM
ajst-30889	77	167	518	518	NUM
ajst-30889	77	168	16	16	NUM
ajst-30889	77	169	0.044	0.044	NUM
ajst-30889	77	170	30	30	NUM
ajst-30889	77	171	240.6	240.6	NUM
ajst-30889	77	172	24.6	24.6	NUM
ajst-30889	77	173	531	531	NUM
ajst-30889	77	174	13	13	NUM
ajst-30889	77	175	-0.915	-0.915	NUM
ajst-30889	77	176	31	31	NUM
ajst-30889	77	177	238.5	238.5	NUM
ajst-30889	77	178	25.2	25.2	NUM
ajst-30889	77	179	546	546	NUM
ajst-30889	77	180	15	15	NUM
ajst-30889	77	181	-1.439	-1.439	NUM
ajst-30889	77	182	32	32	NUM
ajst-30889	77	183	238.8	238.8	NUM
ajst-30889	77	184	25.7	25.7	NUM
ajst-30889	77	185	566	566	NUM
ajst-30889	77	186	20	20	NUM
ajst-30889	77	187	-1.924	-1.924	NOUN
ajst-30889	77	188	33	33	NUM
ajst-30889	77	189	239.6	239.6	NUM
ajst-30889	77	190	25.8	25.8	NUM
ajst-30889	77	191	583	583	NUM
ajst-30889	77	192	17	17	NUM
ajst-30889	77	193	-1.461	-1.461	SYM
ajst-30889	77	194	34	34	NUM
ajst-30889	77	195	240.2	240.2	NUM
ajst-30889	77	196	25.4	25.4	NUM
ajst-30889	77	197	597	597	NUM
ajst-30889	77	198	14	14	NUM
ajst-30889	77	199	-1.333	-1.333	NUM
ajst-30889	77	200	35	35	NUM
ajst-30889	77	201	240.7	240.7	NUM
ajst-30889	77	202	25	25	NUM
ajst-30889	77	203	610	610	NUM
ajst-30889	77	204	13	13	NUM
ajst-30889	77	205	-0.948	-0.948	NUM
ajst-30889	77	206	36	36	NUM
ajst-30889	77	207	239.8	239.8	NUM
ajst-30889	77	208	24.4	24.4	NUM
ajst-30889	77	209	625	625	NUM
ajst-30889	77	210	15	15	NUM
ajst-30889	77	211	-0.859	-0.859	NUM
ajst-30889	77	212	37	37	NUM
ajst-30889	77	213	240.5	240.5	NUM
ajst-30889	77	214	23.6	23.6	NUM
ajst-30889	77	215	638	638	NUM
ajst-30889	77	216	13	13	NUM
ajst-30889	77	217	0.261	0.261	NUM
ajst-30889	77	218	38	38	NUM
ajst-30889	77	219	239.95	239.95	NUM
ajst-30889	77	220	21.9	21.9	NUM
ajst-30889	77	221	665	665	NUM
ajst-30889	77	222	27	27	NUM
ajst-30889	77	223	1.07	1.07	NUM
ajst-30889	77	224	39	39	NUM
ajst-30889	77	225	240.3	240.3	NUM
ajst-30889	77	226	20.3	20.3	NUM
ajst-30889	77	227	694	694	NUM
ajst-30889	77	228	29	29	NUM
ajst-30889	77	229	0.839	0.839	NUM
ajst-30889	77	230	40	40	NUM
ajst-30889	77	231	240.8	240.8	NUM
ajst-30889	77	232	19.6	19.6	NUM
ajst-30889	77	233	727	727	NUM
ajst-30889	77	234	33	33	NUM
ajst-30889	77	235	1.99	1.99	NUM
ajst-30889	77	236	41	41	NUM
ajst-30889	77	237	239.7	239.7	NUM
ajst-30889	77	238	20	20	NUM
ajst-30889	77	239	759	759	NUM
ajst-30889	77	240	32	32	NUM
ajst-30889	77	241	1.873	1.873	NUM
ajst-30889	77	242	42	42	NUM
ajst-30889	77	243	239.3	239.3	NUM
ajst-30889	77	244	21.2	21.2	NUM
ajst-30889	77	245	790	790	NUM
ajst-30889	77	246	31	31	NUM
ajst-30889	77	247	1.382	1.382	NUM
ajst-30889	77	248	43	43	NUM
ajst-30889	77	249	239.5	239.5	NUM
ajst-30889	77	250	22.7	22.7	NUM
ajst-30889	77	251	821	821	NUM
ajst-30889	77	252	31	31	NUM
ajst-30889	77	253	0.468	0.468	NUM
ajst-30889	77	254	44	44	NUM
ajst-30889	77	255	243.15	243.15	NUM
ajst-30889	77	256	24.2	24.2	NUM
ajst-30889	77	257	853	853	NUM
ajst-30889	77	258	32	32	NUM
ajst-30889	77	259	0.785	0.785	NUM
ajst-30889	77	260	45	45	NUM
ajst-30889	77	261	238.5	238.5	NUM
ajst-30889	77	262	25.1	25.1	NUM
ajst-30889	77	263	884	884	NUM
ajst-30889	77	264	31	31	NUM
ajst-30889	77	265	-1.11	-1.11	NUM
ajst-30889	77	266	46	46	NUM
ajst-30889	77	267	239.1	239.1	NUM
ajst-30889	77	268	25.8	25.8	NUM
ajst-30889	77	269	923	923	NUM
ajst-30889	77	270	39	39	NUM
ajst-30889	77	271	-1.656	-1.656	NUM
ajst-30889	77	272	47	47	NUM
ajst-30889	77	273	241	241	NUM
ajst-30889	77	274	25.6	25.6	NUM
ajst-30889	77	275	950	950	NUM
ajst-30889	77	276	27	27	NUM
ajst-30889	77	277	-1.032	-1.032	NUM
ajst-30889	77	278	48	48	NUM
ajst-30889	77	279	240.35	240.35	NUM
ajst-30889	77	280	25	25	NUM
ajst-30889	77	281	972	972	NUM
ajst-30889	77	282	22	22	NUM
ajst-30889	77	283	-0.748	-0.748	NUM
ajst-30889	77	284	49	49	NUM
ajst-30889	77	285	239.56	239.56	NUM
ajst-30889	77	286	23.8	23.8	NUM
ajst-30889	77	287	1000	1000	NUM
ajst-30889	77	288	28	28	NUM
ajst-30889	77	289	-0.67	-0.67	NUM
ajst-30889	77	290	50	50	NUM
ajst-30889	77	291	242.2	242.2	NUM
ajst-30889	77	292	21.4	21.4	NUM
ajst-30889	77	293	1036	1036	NUM
ajst-30889	77	294	36	36	NUM
ajst-30889	77	295	1.705	1.705	NUM
ajst-30889	77	296	51	51	NUM
ajst-30889	77	297	241.25	241.25	NUM
ajst-30889	77	298	20.3	20.3	NUM
ajst-30889	77	299	1062	1062	NUM
ajst-30889	77	300	26	26	NUM
ajst-30889	77	301	1.984	1.984	NUM
ajst-30889	77	302	52	52	NUM
ajst-30889	77	303	240.69	240.69	NUM
ajst-30889	77	304	19.5	19.5	NUM
ajst-30889	77	305	1099	1099	NUM
ajst-30889	77	306	37	37	NUM
ajst-30889	77	307	2.123	2.123	NUM
ajst-30889	77	308	(	(	PUNCT
ajst-30889	77	309	1	1	NUM
ajst-30889	77	310	)	)	PUNCT
ajst-30889	77	311	(	(	PUNCT
ajst-30889	77	312	1	1	NUM
ajst-30889	77	313	)	)	PUNCT
ajst-30889	77	314	,	,	PUNCT
ajst-30889	77	315	,	,	PUNCT
ajst-30889	77	316	,	,	PUNCT
ajst-30889	77	317	i	i	PRON
ajst-30889	78	1	i	i	VERB
ajst-30889	78	2	i	i	VERB
ajst-30889	79	1	n	n	VERB
ajst-30889	79	2	k	k	PROPN
ajst-30889	80	1	n	n	CCONJ
ajst-30889	80	2	k	k	PROPN
ajst-30889	80	3	n	n	NOUN
ajst-30889	80	4	k	k	NOUN
ajst-30889	81	1			PROPN
ajst-30889	81	2			VERB
ajst-30889	81	3			ADJ
ajst-30889	81	4			NOUN
ajst-30889	81	5	(	(	PUNCT
ajst-30889	81	6	4	4	NUM
ajst-30889	81	7	)	)	PUNCT
ajst-30889	81	8	(	(	PUNCT
ajst-30889	81	9	1	1	X
ajst-30889	81	10	)	)	PUNCT
ajst-30889	81	11	(	(	PUNCT
ajst-30889	81	12	1)i	1)i	NUM
ajst-30889	82	1	i	i	PRON
ajst-30889	83	1	i	i	PRON
ajst-30889	83	2	k	k	PROPN
ajst-30889	83	3	k	k	PROPN
ajst-30889	83	4	ka	ka	PROPN
ajst-30889	84	1	a	a	DET
ajst-30889	84	2	a	a	ADJ
ajst-30889	84	3			ADJ
ajst-30889	84	4			NOUN
ajst-30889	84	5	(	(	PUNCT
ajst-30889	84	6	5	5	NUM
ajst-30889	84	7	)	)	PUNCT
ajst-30889	84	8	(	(	PUNCT
ajst-30889	84	9	1	1	X
ajst-30889	84	10	)	)	PUNCT
ajst-30889	84	11	(	(	PUNCT
ajst-30889	84	12	1)i	1)i	NUM
ajst-30889	84	13	i	i	PRON
ajst-30889	85	1	i	i	PRON
ajst-30889	85	2	k	k	PROPN
ajst-30889	85	3	k	k	PROPN
ajst-30889	85	4	kb	kb	PROPN
ajst-30889	85	5	b	b	PROPN
ajst-30889	85	6	b	b	PROPN
ajst-30889	85	7			ADJ
ajst-30889	85	8			NOUN
ajst-30889	85	9	(	(	PUNCT
ajst-30889	85	10	6	6	NUM
ajst-30889	85	11	)	)	PUNCT
ajst-30889	85	12	in	in	ADP
ajst-30889	85	13	the	the	DET
ajst-30889	85	14	formula	formula	NOUN
ajst-30889	85	15	,	,	PUNCT
ajst-30889	85	16	(	(	PUNCT
ajst-30889	85	17	1	1	NUM
ajst-30889	85	18	)	)	PUNCT
ajst-30889	85	19	,	,	PUNCT
ajst-30889	85	20	i	i	PRON
ajst-30889	85	21	n	n	VERB
ajst-30889	85	22	k	k	NOUN
ajst-30889	85	23			PROPN
ajst-30889	85	24	,	,	PUNCT
ajst-30889	85	25	(	(	PUNCT
ajst-30889	85	26	1)i	1)i	PROPN
ajst-30889	85	27	ka	ka	PROPN
ajst-30889	85	28			PROPN
ajst-30889	85	29	,	,	PUNCT
ajst-30889	85	30	(	(	PUNCT
ajst-30889	85	31	1)i	1)i	NUM
ajst-30889	85	32	kb	kb	PROPN
ajst-30889	85	33			PROPN
ajst-30889	85	34	are	be	AUX
ajst-30889	85	35	calculated	calculate	VERB
ajst-30889	85	36	by	by	ADP
ajst-30889	85	37	using	use	VERB
ajst-30889	85	38	the	the	DET
ajst-30889	85	39	error	error	NOUN
ajst-30889	85	40	of	of	ADP
ajst-30889	85	41	wavelet	wavelet	NOUN
ajst-30889	85	42	neural	neural	ADJ
ajst-30889	85	43	network	network	NOUN
ajst-30889	85	44	prediction	prediction	NOUN
ajst-30889	85	45	:	:	PUNCT
ajst-30889	85	46	78	78	NUM
ajst-30889	85	47	(	(	PUNCT
ajst-30889	85	48	1	1	NUM
ajst-30889	85	49	)	)	PUNCT
ajst-30889	85	50	,	,	PUNCT
ajst-30889	85	51	(	(	PUNCT
ajst-30889	85	52	)	)	PUNCT
ajst-30889	85	53	,	,	PUNCT
ajst-30889	86	1	i	i	PRON
ajst-30889	86	2	n	n	VERB
ajst-30889	86	3	k	k	NOUN
ajst-30889	86	4	i	i	PRON
ajst-30889	86	5	n	n	CCONJ
ajst-30889	86	6	k	k	NOUN
ajst-30889	86	7	e	e	NOUN
ajst-30889	86	8			NUM
ajst-30889	86	9			PROPN
ajst-30889	86	10			ADJ
ajst-30889	86	11			PROPN
ajst-30889	86	12			X
ajst-30889	86	13			PROPN
ajst-30889	86	14			PROPN
ajst-30889	86	15			NOUN
ajst-30889	86	16	(	(	PUNCT
ajst-30889	86	17	7	7	NUM
ajst-30889	86	18	)	)	PUNCT
ajst-30889	86	19	(	(	PUNCT
ajst-30889	86	20	1	1	X
ajst-30889	86	21	)	)	PUNCT
ajst-30889	86	22	(	(	PUNCT
ajst-30889	86	23	)	)	PUNCT
ajst-30889	87	1	i	i	PRON
ajst-30889	87	2	k	k	INTJ
ajst-30889	88	1	i	i	PRON
ajst-30889	88	2	k	k	PROPN
ajst-30889	89	1	e	e	PROPN
ajst-30889	89	2	a	a	DET
ajst-30889	89	3	a	a	DET
ajst-30889	89	4			NOUN
ajst-30889	89	5			ADJ
ajst-30889	89	6			X
ajst-30889	90	1			NUM
ajst-30889	90	2			PROPN
ajst-30889	90	3			PROPN
ajst-30889	90	4	(	(	PUNCT
ajst-30889	90	5	8)	8)	NUM
ajst-30889	90	6	(	(	PUNCT
ajst-30889	90	7	1	1	NUM
ajst-30889	90	8	)	)	PUNCT
ajst-30889	90	9	(	(	PUNCT
ajst-30889	90	10	)	)	PUNCT
ajst-30889	91	1	i	i	PRON
ajst-30889	91	2	k	k	INTJ
ajst-30889	92	1	i	i	PRON
ajst-30889	92	2	k	k	PROPN
ajst-30889	92	3	e	e	PROPN
ajst-30889	92	4	b	b	PROPN
ajst-30889	92	5	b	b	PROPN
ajst-30889	92	6			PRON
ajst-30889	92	7			PROPN
ajst-30889	92	8			X
ajst-30889	93	1			NUM
ajst-30889	93	2			PROPN
ajst-30889	93	3			NOUN
ajst-30889	93	4	(	(	PUNCT
ajst-30889	93	5	9	9	NUM
ajst-30889	93	6	)	)	PUNCT
ajst-30889	93	7	in	in	ADP
ajst-30889	93	8	the	the	DET
ajst-30889	93	9	formula	formula	NOUN
ajst-30889	93	10	,	,	PUNCT
ajst-30889	93	11			PRON
ajst-30889	93	12	represents	represent	VERB
ajst-30889	93	13	the	the	DET
ajst-30889	93	14	learning	learning	NOUN
ajst-30889	93	15	rate	rate	NOUN
ajst-30889	93	16	.	.	PUNCT
ajst-30889	94	1	4	4	X
ajst-30889	94	2	.	.	X
ajst-30889	94	3	correlation	correlation	NOUN
ajst-30889	94	4	analysis	analysis	NOUN
ajst-30889	94	5	of	of	ADP
ajst-30889	94	6	dam	dam	NOUN
ajst-30889	94	7	deformation	deformation	NOUN
ajst-30889	94	8	influencing	influence	VERB
ajst-30889	94	9	factors	factor	NOUN
ajst-30889	94	10	4.1	4.1	NUM
ajst-30889	94	11	.	.	PUNCT
ajst-30889	95	1	dam	dam	NOUN
ajst-30889	95	2	deformation	deformation	NOUN
ajst-30889	95	3	influence	influence	NOUN
ajst-30889	95	4	factors	factor	VERB
ajst-30889	95	5	through	through	ADP
ajst-30889	95	6	the	the	DET
ajst-30889	95	7	analysis	analysis	NOUN
ajst-30889	95	8	of	of	ADP
ajst-30889	95	9	a	a	DET
ajst-30889	95	10	large	large	ADJ
ajst-30889	95	11	number	number	NOUN
ajst-30889	95	12	of	of	ADP
ajst-30889	95	13	dam	dam	NOUN
ajst-30889	95	14	deformation	deformation	NOUN
ajst-30889	95	15	monitoring	monitor	VERB
ajst-30889	95	16	data	datum	NOUN
ajst-30889	95	17	,	,	PUNCT
ajst-30889	95	18	it	it	PRON
ajst-30889	95	19	can	can	AUX
ajst-30889	95	20	be	be	AUX
ajst-30889	95	21	known	know	VERB
ajst-30889	95	22	that	that	SCONJ
ajst-30889	95	23	no	no	ADV
ajst-30889	95	24	matter	matter	ADV
ajst-30889	95	25	what	what	DET
ajst-30889	95	26	type	type	NOUN
ajst-30889	95	27	of	of	ADP
ajst-30889	95	28	dam	dam	NOUN
ajst-30889	95	29	,	,	PUNCT
ajst-30889	95	30	the	the	DET
ajst-30889	95	31	main	main	ADJ
ajst-30889	95	32	factors	factor	NOUN
ajst-30889	95	33	affecting	affect	VERB
ajst-30889	95	34	its	its	PRON
ajst-30889	95	35	deformation	deformation	NOUN
ajst-30889	95	36	can	can	AUX
ajst-30889	95	37	be	be	AUX
ajst-30889	95	38	divided	divide	VERB
ajst-30889	95	39	into	into	ADP
ajst-30889	95	40	:	:	PUNCT
ajst-30889	95	41	water	water	NOUN
ajst-30889	95	42	pressure	pressure	NOUN
ajst-30889	95	43	factor	factor	NOUN
ajst-30889	95	44	,	,	PUNCT
ajst-30889	95	45	temperature	temperature	NOUN
ajst-30889	95	46	factor	factor	NOUN
ajst-30889	95	47	and	and	CCONJ
ajst-30889	95	48	aging	age	VERB
ajst-30889	95	49	factor	factor	NOUN
ajst-30889	95	50	.	.	PUNCT
ajst-30889	96	1	these	these	DET
ajst-30889	96	2	three	three	NUM
ajst-30889	96	3	factors	factor	NOUN
ajst-30889	96	4	work	work	VERB
ajst-30889	96	5	together	together	ADV
ajst-30889	96	6	on	on	ADP
ajst-30889	96	7	the	the	DET
ajst-30889	96	8	dam	dam	NOUN
ajst-30889	96	9	,	,	PUNCT
ajst-30889	96	10	so	so	SCONJ
ajst-30889	96	11	that	that	SCONJ
ajst-30889	96	12	the	the	DET
ajst-30889	96	13	dam	dam	NOUN
ajst-30889	96	14	is	be	AUX
ajst-30889	96	15	displaced	displace	VERB
ajst-30889	96	16	in	in	ADP
ajst-30889	96	17	a	a	DET
ajst-30889	96	18	certain	certain	ADJ
ajst-30889	96	19	direction	direction	NOUN
ajst-30889	96	20	.	.	PUNCT
ajst-30889	97	1	therefore	therefore	ADV
ajst-30889	97	2	,	,	PUNCT
ajst-30889	97	3	in	in	ADP
ajst-30889	97	4	this	this	DET
ajst-30889	97	5	paper	paper	NOUN
ajst-30889	97	6	,	,	PUNCT
ajst-30889	97	7	the	the	DET
ajst-30889	97	8	dam	dam	NOUN
ajst-30889	97	9	displacement	displacement	NOUN
ajst-30889	97	10	is	be	AUX
ajst-30889	97	11	divided	divide	VERB
ajst-30889	97	12	into	into	ADP
ajst-30889	97	13	water	water	NOUN
ajst-30889	97	14	pressure	pressure	NOUN
ajst-30889	97	15	displacement	displacement	NOUN
ajst-30889	97	16	component	component	NOUN
ajst-30889	97	17	f	f	PROPN
ajst-30889	97	18	(	(	PUNCT
ajst-30889	97	19	h	h	NOUN
ajst-30889	97	20	)	)	PUNCT
ajst-30889	97	21	,	,	PUNCT
ajst-30889	97	22	time	time	NOUN
ajst-30889	97	23	-	-	PUNCT
ajst-30889	97	24	dependent	dependent	ADJ
ajst-30889	97	25	displacement	displacement	NOUN
ajst-30889	97	26	component	component	NOUN
ajst-30889	97	27	f	f	PROPN
ajst-30889	97	28	(	(	PUNCT
ajst-30889	97	29	θ	θ	NOUN
ajst-30889	97	30	)	)	PUNCT
ajst-30889	97	31	and	and	CCONJ
ajst-30889	97	32	temperature	temperature	NOUN
ajst-30889	97	33	displacement	displacement	NOUN
ajst-30889	97	34	component	component	NOUN
ajst-30889	97	35	f	f	PROPN
ajst-30889	97	36	(	(	PUNCT
ajst-30889	97	37	c	c	NOUN
ajst-30889	97	38	)	)	PUNCT
ajst-30889	97	39	,	,	PUNCT
ajst-30889	97	40	so	so	CCONJ
ajst-30889	97	41	the	the	DET
ajst-30889	97	42	dam	dam	NOUN
ajst-30889	97	43	displacement	displacement	ADJ
ajst-30889	97	44	calculation	calculation	NOUN
ajst-30889	97	45	formula	formula	NOUN
ajst-30889	97	46	is	be	AUX
ajst-30889	97	47	:	:	PUNCT
ajst-30889	97	48	(	(	PUNCT
ajst-30889	97	49	)	)	PUNCT
ajst-30889	97	50	(	(	PUNCT
ajst-30889	97	51	)	)	PUNCT
ajst-30889	97	52	(	(	PUNCT
ajst-30889	97	53	)	)	PUNCT
ajst-30889	97	54	f	f	PROPN
ajst-30889	98	1	f	f	NOUN
ajst-30889	98	2	h	h	NOUN
ajst-30889	98	3	f	f	PROPN
ajst-30889	98	4	c	c	PROPN
ajst-30889	98	5	f	f	PROPN
ajst-30889	98	6			PROPN
ajst-30889	98	7			PROPN
ajst-30889	98	8			X
ajst-30889	98	9	(	(	PUNCT
ajst-30889	98	10	10	10	NUM
ajst-30889	98	11	)	)	PUNCT
ajst-30889	98	12	(	(	PUNCT
ajst-30889	98	13	1	1	X
ajst-30889	98	14	)	)	PUNCT
ajst-30889	98	15	water	water	NOUN
ajst-30889	98	16	pressure	pressure	NOUN
ajst-30889	98	17	displacement	displacement	NOUN
ajst-30889	98	18	component	component	NOUN
ajst-30889	98	19	:	:	PUNCT
ajst-30889	98	20	it	it	PRON
ajst-30889	98	21	mainly	mainly	ADV
ajst-30889	98	22	represents	represent	VERB
ajst-30889	98	23	some	some	DET
ajst-30889	98	24	elastic	elastic	ADJ
ajst-30889	98	25	and	and	CCONJ
ajst-30889	98	26	inelastic	inelastic	ADJ
ajst-30889	98	27	deformation	deformation	NOUN
ajst-30889	98	28	caused	cause	VERB
ajst-30889	98	29	by	by	ADP
ajst-30889	98	30	water	water	NOUN
ajst-30889	98	31	pressure	pressure	NOUN
ajst-30889	98	32	load	load	NOUN
ajst-30889	98	33	on	on	ADP
ajst-30889	98	34	the	the	DET
ajst-30889	98	35	dam	dam	NOUN
ajst-30889	98	36	.	.	PUNCT
ajst-30889	99	1	according	accord	VERB
ajst-30889	99	2	to	to	ADP
ajst-30889	99	3	the	the	DET
ajst-30889	99	4	knowledge	knowledge	NOUN
ajst-30889	99	5	of	of	ADP
ajst-30889	99	6	engineering	engineering	NOUN
ajst-30889	99	7	mechanics	mechanic	NOUN
ajst-30889	99	8	,	,	PUNCT
ajst-30889	99	9	the	the	DET
ajst-30889	99	10	deformation	deformation	NOUN
ajst-30889	99	11	of	of	ADP
ajst-30889	99	12	the	the	DET
ajst-30889	99	13	dam	dam	NOUN
ajst-30889	99	14	is	be	AUX
ajst-30889	99	15	related	relate	VERB
ajst-30889	99	16	to	to	ADP
ajst-30889	99	17	the	the	DET
ajst-30889	99	18	power	power	NOUN
ajst-30889	99	19	of	of	ADP
ajst-30889	99	20	the	the	DET
ajst-30889	99	21	water	water	NOUN
ajst-30889	99	22	level	level	NOUN
ajst-30889	99	23	.	.	PUNCT
ajst-30889	100	1	the	the	DET
ajst-30889	100	2	relationship	relationship	NOUN
ajst-30889	100	3	is	be	AUX
ajst-30889	100	4	as	as	SCONJ
ajst-30889	100	5	follows	follow	VERB
ajst-30889	100	6	:	:	PUNCT
ajst-30889	100	7	0	0	NUM
ajst-30889	100	8	(	(	PUNCT
ajst-30889	100	9	)	)	PUNCT
ajst-30889	100	10	(	(	PUNCT
ajst-30889	100	11	)	)	PUNCT
ajst-30889	101	1	i	i	PRON
ajst-30889	101	2	i	i	PRON
ajst-30889	102	1	if	if	SCONJ
ajst-30889	102	2	h	h	NOUN
ajst-30889	102	3	m	m	VERB
ajst-30889	102	4	h	h	VERB
ajst-30889	102	5	h	h	NOUN
ajst-30889	102	6			X
ajst-30889	102	7	(	(	PUNCT
ajst-30889	102	8	11	11	NUM
ajst-30889	102	9	)	)	PUNCT
ajst-30889	102	10	in	in	ADP
ajst-30889	102	11	the	the	DET
ajst-30889	102	12	formula	formula	NOUN
ajst-30889	102	13	,	,	PUNCT
ajst-30889	102	14	mi	mi	PROPN
ajst-30889	102	15	represents	represent	VERB
ajst-30889	102	16	the	the	DET
ajst-30889	102	17	influence	influence	NOUN
ajst-30889	102	18	coefficient	coefficient	NOUN
ajst-30889	102	19	,	,	PUNCT
ajst-30889	102	20	0	0	NUM
ajst-30889	102	21	ih	ih	NOUN
ajst-30889	102	22	represents	represent	VERB
ajst-30889	102	23	the	the	DET
ajst-30889	102	24	water	water	NOUN
ajst-30889	102	25	level	level	NOUN
ajst-30889	102	26	of	of	ADP
ajst-30889	102	27	the	the	DET
ajst-30889	102	28	initial	initial	ADJ
ajst-30889	102	29	day	day	NOUN
ajst-30889	102	30	,	,	PUNCT
ajst-30889	102	31	and	and	CCONJ
ajst-30889	102	32	hi	hi	INTJ
ajst-30889	102	33	represents	represent	VERB
ajst-30889	102	34	the	the	DET
ajst-30889	102	35	water	water	NOUN
ajst-30889	102	36	level	level	NOUN
ajst-30889	102	37	of	of	ADP
ajst-30889	102	38	the	the	DET
ajst-30889	102	39	observation	observation	NOUN
ajst-30889	102	40	day	day	NOUN
ajst-30889	102	41	.	.	PUNCT
ajst-30889	103	1	(	(	PUNCT
ajst-30889	103	2	2	2	X
ajst-30889	103	3	)	)	PUNCT
ajst-30889	103	4	temperature	temperature	NOUN
ajst-30889	103	5	displacement	displacement	ADJ
ajst-30889	103	6	component	component	NOUN
ajst-30889	103	7	:	:	PUNCT
ajst-30889	103	8	it	it	PRON
ajst-30889	103	9	mainly	mainly	ADV
ajst-30889	103	10	refers	refer	VERB
ajst-30889	103	11	to	to	ADP
ajst-30889	103	12	the	the	DET
ajst-30889	103	13	partial	partial	ADJ
ajst-30889	103	14	deformation	deformation	NOUN
ajst-30889	103	15	of	of	ADP
ajst-30889	103	16	the	the	DET
ajst-30889	103	17	dam	dam	NOUN
ajst-30889	103	18	caused	cause	VERB
ajst-30889	103	19	by	by	ADP
ajst-30889	103	20	the	the	DET
ajst-30889	103	21	influence	influence	NOUN
ajst-30889	103	22	of	of	ADP
ajst-30889	103	23	temperature	temperature	NOUN
ajst-30889	103	24	change	change	NOUN
ajst-30889	103	25	.	.	PUNCT
ajst-30889	104	1	this	this	DET
ajst-30889	104	2	deformation	deformation	NOUN
ajst-30889	104	3	is	be	AUX
ajst-30889	104	4	generally	generally	ADV
ajst-30889	104	5	elastic	elastic	ADJ
ajst-30889	104	6	and	and	CCONJ
ajst-30889	104	7	recoverable	recoverable	ADJ
ajst-30889	104	8	.	.	PUNCT
ajst-30889	105	1	the	the	DET
ajst-30889	105	2	main	main	ADJ
ajst-30889	105	3	reason	reason	NOUN
ajst-30889	105	4	for	for	ADP
ajst-30889	105	5	this	this	PRON
ajst-30889	105	6	is	be	AUX
ajst-30889	105	7	that	that	SCONJ
ajst-30889	105	8	the	the	DET
ajst-30889	105	9	dam	dam	NOUN
ajst-30889	105	10	is	be	AUX
ajst-30889	105	11	not	not	PART
ajst-30889	105	12	all	all	PRON
ajst-30889	105	13	exposed	expose	VERB
ajst-30889	105	14	to	to	ADP
ajst-30889	105	15	the	the	DET
ajst-30889	105	16	outside	outside	NOUN
ajst-30889	105	17	,	,	PUNCT
ajst-30889	105	18	and	and	CCONJ
ajst-30889	105	19	the	the	DET
ajst-30889	105	20	temperature	temperature	NOUN
ajst-30889	105	21	of	of	ADP
ajst-30889	105	22	the	the	DET
ajst-30889	105	23	dam	dam	NOUN
ajst-30889	105	24	body	body	NOUN
ajst-30889	105	25	is	be	AUX
ajst-30889	105	26	not	not	PART
ajst-30889	105	27	exactly	exactly	ADV
ajst-30889	105	28	the	the	DET
ajst-30889	105	29	same	same	ADJ
ajst-30889	105	30	on	on	ADP
ajst-30889	105	31	and	and	CCONJ
ajst-30889	105	32	under	under	ADP
ajst-30889	105	33	the	the	DET
ajst-30889	105	34	water	water	NOUN
ajst-30889	105	35	,	,	PUNCT
ajst-30889	105	36	which	which	PRON
ajst-30889	105	37	will	will	AUX
ajst-30889	105	38	lead	lead	VERB
ajst-30889	105	39	to	to	ADP
ajst-30889	105	40	the	the	DET
ajst-30889	105	41	tilt	tilt	NOUN
ajst-30889	105	42	of	of	ADP
ajst-30889	105	43	the	the	DET
ajst-30889	105	44	dam	dam	NOUN
ajst-30889	105	45	.	.	PUNCT
ajst-30889	106	1	when	when	SCONJ
ajst-30889	106	2	the	the	DET
ajst-30889	106	3	temperature	temperature	NOUN
ajst-30889	106	4	above	above	ADP
ajst-30889	106	5	the	the	DET
ajst-30889	106	6	water	water	NOUN
ajst-30889	106	7	is	be	AUX
ajst-30889	106	8	higher	high	ADJ
ajst-30889	106	9	than	than	ADP
ajst-30889	106	10	the	the	DET
ajst-30889	106	11	temperature	temperature	NOUN
ajst-30889	106	12	under	under	ADP
ajst-30889	106	13	the	the	DET
ajst-30889	106	14	water	water	NOUN
ajst-30889	106	15	in	in	ADP
ajst-30889	106	16	summer	summer	NOUN
ajst-30889	106	17	,	,	PUNCT
ajst-30889	106	18	the	the	DET
ajst-30889	106	19	dam	dam	NOUN
ajst-30889	106	20	will	will	AUX
ajst-30889	106	21	tilt	tilt	VERB
ajst-30889	106	22	upwards	upwards	ADV
ajst-30889	106	23	,	,	PUNCT
ajst-30889	106	24	and	and	CCONJ
ajst-30889	106	25	the	the	DET
ajst-30889	106	26	opposite	opposite	NOUN
ajst-30889	106	27	is	be	AUX
ajst-30889	106	28	true	true	ADJ
ajst-30889	106	29	in	in	ADP
ajst-30889	106	30	winter	winter	NOUN
ajst-30889	106	31	.	.	PUNCT
ajst-30889	107	1	therefore	therefore	ADV
ajst-30889	107	2	,	,	PUNCT
ajst-30889	107	3	temperature	temperature	NOUN
ajst-30889	107	4	is	be	AUX
ajst-30889	107	5	a	a	DET
ajst-30889	107	6	very	very	ADV
ajst-30889	107	7	important	important	ADJ
ajst-30889	107	8	part	part	NOUN
ajst-30889	107	9	of	of	ADP
ajst-30889	107	10	dam	dam	NOUN
ajst-30889	107	11	deformation	deformation	NOUN
ajst-30889	107	12	.	.	PUNCT
ajst-30889	108	1	the	the	DET
ajst-30889	108	2	expression	expression	NOUN
ajst-30889	108	3	of	of	ADP
ajst-30889	108	4	temperature	temperature	NOUN
ajst-30889	108	5	displacement	displacement	NOUN
ajst-30889	108	6	component	component	NOUN
ajst-30889	108	7	is	be	AUX
ajst-30889	108	8	as	as	SCONJ
ajst-30889	108	9	follows	follow	VERB
ajst-30889	108	10	:	:	PUNCT
ajst-30889	108	11	1	1	NUM
ajst-30889	108	12	(	(	PUNCT
ajst-30889	108	13	)	)	PUNCT
ajst-30889	109	1	n	n	CCONJ
ajst-30889	110	1	i	i	PRON
ajst-30889	111	1	i	i	INTJ
ajst-30889	112	1	i	i	PRON
ajst-30889	112	2	f	f	PROPN
ajst-30889	113	1	c	c	PROPN
ajst-30889	113	2	k	k	PROPN
ajst-30889	113	3	t	t	PROPN
ajst-30889	113	4			PROPN
ajst-30889	113	5			PROPN
ajst-30889	113	6	(	(	PUNCT
ajst-30889	113	7	12	12	NUM
ajst-30889	113	8	)	)	PUNCT
ajst-30889	113	9	in	in	ADP
ajst-30889	113	10	the	the	DET
ajst-30889	113	11	formula	formula	NOUN
ajst-30889	113	12	,	,	PUNCT
ajst-30889	113	13	ki	ki	PROPN
ajst-30889	113	14	represents	represent	VERB
ajst-30889	113	15	the	the	DET
ajst-30889	113	16	coefficient	coefficient	NOUN
ajst-30889	113	17	;	;	PUNCT
ajst-30889	113	18	ti	ti	PRON
ajst-30889	113	19	represents	represent	VERB
ajst-30889	113	20	the	the	DET
ajst-30889	113	21	average	average	ADJ
ajst-30889	113	22	temperature	temperature	NOUN
ajst-30889	113	23	of	of	ADP
ajst-30889	113	24	the	the	DET
ajst-30889	113	25	day	day	NOUN
ajst-30889	113	26	before	before	ADP
ajst-30889	113	27	the	the	DET
ajst-30889	113	28	observation	observation	NOUN
ajst-30889	113	29	.	.	PUNCT
ajst-30889	114	1	(	(	PUNCT
ajst-30889	114	2	3	3	X
ajst-30889	114	3	)	)	PUNCT
ajst-30889	114	4	time	time	NOUN
ajst-30889	114	5	-	-	PUNCT
ajst-30889	114	6	dependent	dependent	ADJ
ajst-30889	114	7	displacement	displacement	ADJ
ajst-30889	114	8	component	component	NOUN
ajst-30889	114	9	:	:	PUNCT
ajst-30889	114	10	timedependent	timedependent	NOUN
ajst-30889	114	11	displacement	displacement	NOUN
ajst-30889	114	12	component	component	NOUN
ajst-30889	114	13	is	be	AUX
ajst-30889	114	14	one	one	NUM
ajst-30889	114	15	of	of	ADP
ajst-30889	114	16	the	the	DET
ajst-30889	114	17	most	most	ADV
ajst-30889	114	18	complex	complex	ADJ
ajst-30889	114	19	factors	factor	NOUN
ajst-30889	114	20	affecting	affect	VERB
ajst-30889	114	21	dam	dam	NOUN
ajst-30889	114	22	displacement	displacement	NOUN
ajst-30889	114	23	.	.	PUNCT
ajst-30889	115	1	it	it	PRON
ajst-30889	115	2	mainly	mainly	ADV
ajst-30889	115	3	represents	represent	VERB
ajst-30889	115	4	the	the	DET
ajst-30889	115	5	deformation	deformation	NOUN
ajst-30889	115	6	of	of	ADP
ajst-30889	115	7	the	the	DET
ajst-30889	115	8	dam	dam	NOUN
ajst-30889	115	9	over	over	ADP
ajst-30889	115	10	time	time	NOUN
ajst-30889	115	11	.	.	PUNCT
ajst-30889	116	1	this	this	DET
ajst-30889	116	2	deformation	deformation	NOUN
ajst-30889	116	3	is	be	AUX
ajst-30889	116	4	generally	generally	ADV
ajst-30889	116	5	more	more	ADV
ajst-30889	116	6	severe	severe	ADJ
ajst-30889	116	7	when	when	SCONJ
ajst-30889	116	8	the	the	DET
ajst-30889	116	9	dam	dam	NOUN
ajst-30889	116	10	is	be	AUX
ajst-30889	116	11	just	just	ADV
ajst-30889	116	12	built	build	VERB
ajst-30889	116	13	,	,	PUNCT
ajst-30889	116	14	but	but	CCONJ
ajst-30889	116	15	with	with	ADP
ajst-30889	116	16	the	the	DET
ajst-30889	116	17	increase	increase	NOUN
ajst-30889	116	18	of	of	ADP
ajst-30889	116	19	operating	operating	NOUN
ajst-30889	116	20	years	year	NOUN
ajst-30889	116	21	,	,	PUNCT
ajst-30889	116	22	it	it	PRON
ajst-30889	116	23	will	will	AUX
ajst-30889	116	24	slowly	slowly	ADV
ajst-30889	116	25	become	become	VERB
ajst-30889	116	26	stable	stable	ADJ
ajst-30889	116	27	.	.	PUNCT
ajst-30889	117	1	the	the	DET
ajst-30889	117	2	expression	expression	NOUN
ajst-30889	117	3	of	of	ADP
ajst-30889	117	4	aging	age	VERB
ajst-30889	117	5	component	component	NOUN
ajst-30889	117	6	is	be	AUX
ajst-30889	117	7	as	as	SCONJ
ajst-30889	117	8	follows	follow	VERB
ajst-30889	117	9	:	:	PUNCT
ajst-30889	117	10	1	1	NUM
ajst-30889	117	11	2	2	NUM
ajst-30889	117	12	(	(	PUNCT
ajst-30889	117	13	)	)	PUNCT
ajst-30889	117	14	lnf	lnf	PROPN
ajst-30889	117	15	c	c	PROPN
ajst-30889	117	16	c	c	PROPN
ajst-30889	117	17			PROPN
ajst-30889	117	18			PROPN
ajst-30889	117	19			PROPN
ajst-30889	117	20	(	(	PUNCT
ajst-30889	117	21	13	13	NUM
ajst-30889	117	22	)	)	PUNCT
ajst-30889	117	23	in	in	ADP
ajst-30889	117	24	the	the	DET
ajst-30889	117	25	formula	formula	NOUN
ajst-30889	117	26	,	,	PUNCT
ajst-30889	117	27	c1	c1	PROPN
ajst-30889	117	28	and	and	CCONJ
ajst-30889	117	29	c2	c2	PROPN
ajst-30889	117	30	represent	represent	VERB
ajst-30889	117	31	the	the	DET
ajst-30889	117	32	coefficients	coefficient	NOUN
ajst-30889	117	33	,	,	PUNCT
ajst-30889	117	34	θ=	θ=	NOUN
ajst-30889	117	35	0.01	0.01	NUM
ajst-30889	117	36	t	t	PROPN
ajst-30889	117	37	,	,	PUNCT
ajst-30889	117	38	t	t	PROPN
ajst-30889	117	39	represents	represent	VERB
ajst-30889	117	40	the	the	DET
ajst-30889	117	41	cumulative	cumulative	ADJ
ajst-30889	117	42	number	number	NOUN
ajst-30889	117	43	of	of	ADP
ajst-30889	117	44	days	day	NOUN
ajst-30889	117	45	from	from	ADP
ajst-30889	117	46	the	the	DET
ajst-30889	117	47	observation	observation	NOUN
ajst-30889	117	48	day	day	NOUN
ajst-30889	117	49	to	to	ADP
ajst-30889	117	50	the	the	DET
ajst-30889	117	51	beginning	beginning	NOUN
ajst-30889	117	52	of	of	ADP
ajst-30889	117	53	the	the	DET
ajst-30889	117	54	observation	observation	NOUN
ajst-30889	117	55	day	day	NOUN
ajst-30889	117	56	.	.	PUNCT
ajst-30889	118	1	in	in	ADP
ajst-30889	118	2	summary	summary	NOUN
ajst-30889	118	3	,	,	PUNCT
ajst-30889	118	4	the	the	DET
ajst-30889	118	5	main	main	ADJ
ajst-30889	118	6	influencing	influence	VERB
ajst-30889	118	7	factors	factor	NOUN
ajst-30889	118	8	affecting	affect	VERB
ajst-30889	118	9	dam	dam	NOUN
ajst-30889	118	10	displacement	displacement	NOUN
ajst-30889	118	11	can	can	AUX
ajst-30889	118	12	be	be	AUX
ajst-30889	118	13	listed	list	VERB
ajst-30889	118	14	as	as	SCONJ
ajst-30889	118	15	follows	follow	VERB
ajst-30889	118	16	:	:	PUNCT
ajst-30889	118	17	h、h2、h3、h4、h5	h、h2、h3、h4、h5	NUM
ajst-30889	118	18	、	、	NOUN
ajst-30889	118	19	t0、θ、θ2、θ3、θ4、θ5、lnθ。in	t0、θ、θ2、θ3、θ4、θ5、lnθ。in	NUM
ajst-30889	118	20	addition	addition	NOUN
ajst-30889	118	21	,	,	PUNCT
ajst-30889	118	22	due	due	ADP
ajst-30889	118	23	to	to	ADP
ajst-30889	118	24	the	the	DET
ajst-30889	118	25	periodicity	periodicity	NOUN
ajst-30889	118	26	of	of	ADP
ajst-30889	118	27	temperature	temperature	NOUN
ajst-30889	118	28	,	,	PUNCT
ajst-30889	118	29	it	it	PRON
ajst-30889	118	30	is	be	AUX
ajst-30889	118	31	necessary	necessary	ADJ
ajst-30889	118	32	to	to	PART
ajst-30889	118	33	introduce	introduce	VERB
ajst-30889	118	34	temperature	temperature	NOUN
ajst-30889	118	35	factors	factor	NOUN
ajst-30889	118	36	sint	sint	VERB
ajst-30889	118	37	,	,	PUNCT
ajst-30889	118	38	cost	cost	NOUN
ajst-30889	118	39	,	,	PUNCT
ajst-30889	118	40	sint2(t=2*pi*t/365	sint2(t=2*pi*t/365	NOUN
ajst-30889	118	41	,	,	PUNCT
ajst-30889	118	42	t	t	PROPN
ajst-30889	118	43	represents	represent	VERB
ajst-30889	118	44	the	the	DET
ajst-30889	118	45	number	number	NOUN
ajst-30889	118	46	of	of	ADP
ajst-30889	118	47	days	day	NOUN
ajst-30889	118	48	between	between	ADP
ajst-30889	118	49	the	the	DET
ajst-30889	118	50	observation	observation	NOUN
ajst-30889	118	51	day	day	NOUN
ajst-30889	118	52	and	and	CCONJ
ajst-30889	118	53	the	the	DET
ajst-30889	118	54	initial	initial	ADJ
ajst-30889	118	55	observation	observation	NOUN
ajst-30889	118	56	day	day	NOUN
ajst-30889	118	57	,	,	PUNCT
ajst-30889	118	58	θ=	θ=	NOUN
ajst-30889	118	59	0.01	0.01	NUM
ajst-30889	118	60	t	t	NOUN
ajst-30889	118	61	)	)	PUNCT
ajst-30889	118	62	,	,	PUNCT
ajst-30889	118	63	a	a	DET
ajst-30889	118	64	total	total	NOUN
ajst-30889	118	65	of	of	ADP
ajst-30889	118	66	15	15	NUM
ajst-30889	118	67	influencing	influence	VERB
ajst-30889	118	68	factors	factor	NOUN
ajst-30889	118	69	.	.	PUNCT
ajst-30889	119	1	4.2	4.2	NUM
ajst-30889	119	2	.	.	PUNCT
ajst-30889	120	1	correlation	correlation	NOUN
ajst-30889	120	2	analysis	analysis	NOUN
ajst-30889	120	3	of	of	ADP
ajst-30889	120	4	impact	impact	NOUN
ajst-30889	120	5	factors	factor	NOUN
ajst-30889	120	6	based	base	VERB
ajst-30889	120	7	on	on	ADP
ajst-30889	120	8	spearman	spearman	NOUN
ajst-30889	120	9	spearman	spearman	NOUN
ajst-30889	120	10	rank	rank	NOUN
ajst-30889	120	11	correlation	correlation	NOUN
ajst-30889	120	12	coefficient	coefficient	NOUN
ajst-30889	120	13	is	be	AUX
ajst-30889	120	14	a	a	DET
ajst-30889	120	15	test	test	NOUN
ajst-30889	120	16	method	method	NOUN
ajst-30889	120	17	without	without	ADP
ajst-30889	120	18	parameters	parameter	NOUN
ajst-30889	120	19	,	,	PUNCT
ajst-30889	120	20	which	which	PRON
ajst-30889	120	21	is	be	AUX
ajst-30889	120	22	mainly	mainly	ADV
ajst-30889	120	23	used	use	VERB
ajst-30889	120	24	for	for	ADP
ajst-30889	120	25	the	the	DET
ajst-30889	120	26	strength	strength	NOUN
ajst-30889	120	27	of	of	ADP
ajst-30889	120	28	the	the	DET
ajst-30889	120	29	relationship	relationship	NOUN
ajst-30889	120	30	between	between	ADP
ajst-30889	120	31	variables	variable	NOUN
ajst-30889	120	32	and	and	CCONJ
ajst-30889	120	33	variables	variable	NOUN
ajst-30889	120	34	.	.	PUNCT
ajst-30889	121	1	in	in	ADP
ajst-30889	121	2	the	the	DET
ajst-30889	121	3	absence	absence	NOUN
ajst-30889	121	4	of	of	ADP
ajst-30889	121	5	the	the	DET
ajst-30889	121	6	same	same	ADJ
ajst-30889	121	7	data	datum	NOUN
ajst-30889	121	8	,	,	PUNCT
ajst-30889	121	9	if	if	SCONJ
ajst-30889	121	10	a	a	DET
ajst-30889	121	11	variable	variable	NOUN
ajst-30889	121	12	is	be	AUX
ajst-30889	121	13	a	a	DET
ajst-30889	121	14	strictly	strictly	ADV
ajst-30889	121	15	monotone	monotone	ADJ
ajst-30889	121	16	function	function	NOUN
ajst-30889	121	17	of	of	ADP
ajst-30889	121	18	another	another	DET
ajst-30889	121	19	variable	variable	NOUN
ajst-30889	121	20	,	,	PUNCT
ajst-30889	121	21	the	the	DET
ajst-30889	121	22	spearman	spearman	NOUN
ajst-30889	121	23	rank	rank	NOUN
ajst-30889	121	24	correlation	correlation	NOUN
ajst-30889	121	25	coefficient	coefficient	NOUN
ajst-30889	121	26	is	be	AUX
ajst-30889	121	27	+1	+1	ADJ
ajst-30889	121	28	or	or	CCONJ
ajst-30889	121	29	-1	-1	ADP
ajst-30889	121	30	,	,	PUNCT
ajst-30889	121	31	which	which	PRON
ajst-30889	121	32	is	be	AUX
ajst-30889	121	33	called	call	VERB
ajst-30889	121	34	the	the	DET
ajst-30889	121	35	variable	variable	ADJ
ajst-30889	121	36	complete	complete	ADJ
ajst-30889	121	37	spearman	spearman	NOUN
ajst-30889	121	38	rank	rank	NOUN
ajst-30889	121	39	correlation	correlation	NOUN
ajst-30889	121	40	.	.	PUNCT
ajst-30889	122	1	its	its	PRON
ajst-30889	122	2	expression	expression	NOUN
ajst-30889	122	3	is	be	AUX
ajst-30889	122	4	as	as	SCONJ
ajst-30889	122	5	follows	follow	VERB
ajst-30889	122	6	:	:	PUNCT
ajst-30889	122	7	2	2	NUM
ajst-30889	122	8	1	1	NUM
ajst-30889	122	9	3	3	NUM
ajst-30889	122	10	6	6	NUM
ajst-30889	122	11	1	1	NUM
ajst-30889	122	12	n	n	NUM
ajst-30889	123	1	i	i	PRON
ajst-30889	123	2	k	k	PROPN
ajst-30889	123	3	s	s	X
ajst-30889	123	4	d	d	NOUN
ajst-30889	123	5	r	r	NOUN
ajst-30889	123	6	n	n	NOUN
ajst-30889	123	7	n	n	CCONJ
ajst-30889	123	8			NUM
ajst-30889	123	9			PROPN
ajst-30889	123	10			PROPN
ajst-30889	123	11			X
ajst-30889	123	12	(	(	PUNCT
ajst-30889	123	13	14	14	NUM
ajst-30889	123	14	)	)	PUNCT
ajst-30889	123	15	in	in	ADP
ajst-30889	123	16	the	the	DET
ajst-30889	123	17	formula	formula	NOUN
ajst-30889	123	18	,	,	PUNCT
ajst-30889	123	19	n	n	PRON
ajst-30889	123	20	represents	represent	VERB
ajst-30889	123	21	the	the	DET
ajst-30889	123	22	number	number	NOUN
ajst-30889	123	23	of	of	ADP
ajst-30889	123	24	samples	sample	NOUN
ajst-30889	123	25	,	,	PUNCT
ajst-30889	123	26	and	and	CCONJ
ajst-30889	123	27	the	the	DET
ajst-30889	123	28	original	original	ADJ
ajst-30889	123	29	data	datum	NOUN
ajst-30889	123	30	xi	xi	X
ajst-30889	123	31	and	and	CCONJ
ajst-30889	123	32	yi	yi	PROPN
ajst-30889	123	33	are	be	AUX
ajst-30889	123	34	sorted	sort	VERB
ajst-30889	123	35	from	from	ADP
ajst-30889	123	36	large	large	ADJ
ajst-30889	123	37	to	to	ADP
ajst-30889	123	38	small	small	ADJ
ajst-30889	123	39	.	.	PUNCT
ajst-30889	124	1	let	let	VERB
ajst-30889	124	2	'	'	PUNCT
ajst-30889	124	3	ix	ix	ADV
ajst-30889	124	4	and	and	CCONJ
ajst-30889	124	5	'	'	PUNCT
ajst-30889	124	6	iy	iy	PROPN
ajst-30889	124	7	be	be	AUX
ajst-30889	124	8	the	the	DET
ajst-30889	124	9	position	position	NOUN
ajst-30889	124	10	of	of	ADP
ajst-30889	124	11	the	the	DET
ajst-30889	124	12	original	original	ADJ
ajst-30889	124	13	data	datum	NOUN
ajst-30889	124	14	after	after	ADP
ajst-30889	124	15	sorting	sort	VERB
ajst-30889	124	16	from	from	ADP
ajst-30889	124	17	large	large	ADJ
ajst-30889	124	18	to	to	ADP
ajst-30889	124	19	small	small	ADJ
ajst-30889	124	20	.	.	PUNCT
ajst-30889	124	21	'	'	PUNCT
ajst-30889	125	1	ix	ix	ADV
ajst-30889	125	2	and	and	CCONJ
ajst-30889	125	3	'	'	PUNCT
ajst-30889	125	4	iy	iy	PROPN
ajst-30889	125	5	are	be	AUX
ajst-30889	125	6	called	call	VERB
ajst-30889	125	7	the	the	DET
ajst-30889	125	8	rank	rank	NOUN
ajst-30889	125	9	of	of	ADP
ajst-30889	125	10	xi	xi	PROPN
ajst-30889	125	11	and	and	CCONJ
ajst-30889	125	12	yi	yi	PROPN
ajst-30889	125	13	,	,	PUNCT
ajst-30889	125	14	and	and	CCONJ
ajst-30889	125	15	the	the	DET
ajst-30889	125	16	rank	rank	NOUN
ajst-30889	125	17	difference	difference	NOUN
ajst-30889	125	18	is	be	AUX
ajst-30889	125	19	'	'	PUNCT
ajst-30889	125	20	'	'	PUNCT
ajst-30889	126	1	i	i	PRON
ajst-30889	126	2	i	i	PRON
ajst-30889	127	1	i	i	VERB
ajst-30889	127	2	d	d	NOUN
ajst-30889	127	3	x	x	SYM
ajst-30889	127	4	y	y	PROPN
ajst-30889	127	5			PROPN
ajst-30889	127	6	.	.	PUNCT
ajst-30889	128	1	according	accord	VERB
ajst-30889	128	2	to	to	ADP
ajst-30889	128	3	the	the	DET
ajst-30889	128	4	15	15	NUM
ajst-30889	128	5	influencing	influence	VERB
ajst-30889	128	6	factors	factor	NOUN
ajst-30889	128	7	of	of	ADP
ajst-30889	128	8	dam	dam	NOUN
ajst-30889	128	9	deformation	deformation	NOUN
ajst-30889	128	10	determined	determine	VERB
ajst-30889	128	11	above	above	ADV
ajst-30889	128	12	,	,	PUNCT
ajst-30889	128	13	combined	combine	VERB
ajst-30889	128	14	with	with	ADP
ajst-30889	128	15	the	the	DET
ajst-30889	128	16	relevant	relevant	ADJ
ajst-30889	128	17	monitoring	monitoring	NOUN
ajst-30889	128	18	data	datum	NOUN
ajst-30889	128	19	of	of	ADP
ajst-30889	128	20	xiaolangdi	xiaolangdi	PROPN
ajst-30889	128	21	dam	dam	PROPN
ajst-30889	128	22	,	,	PUNCT
ajst-30889	128	23	spearman	spearman	NOUN
ajst-30889	128	24	rank	rank	NOUN
ajst-30889	128	25	correlation	correlation	NOUN
ajst-30889	128	26	coefficient	coefficient	NOUN
ajst-30889	128	27	is	be	AUX
ajst-30889	128	28	used	use	VERB
ajst-30889	128	29	to	to	PART
ajst-30889	128	30	calculate	calculate	VERB
ajst-30889	128	31	the	the	DET
ajst-30889	128	32	correlation	correlation	NOUN
ajst-30889	128	33	between	between	ADP
ajst-30889	128	34	these	these	DET
ajst-30889	128	35	influencing	influence	VERB
ajst-30889	128	36	factors	factor	NOUN
ajst-30889	128	37	and	and	CCONJ
ajst-30889	128	38	displacement	displacement	NOUN
ajst-30889	128	39	,	,	PUNCT
ajst-30889	128	40	and	and	CCONJ
ajst-30889	128	41	the	the	DET
ajst-30889	128	42	calculated	calculate	VERB
ajst-30889	128	43	correlation	correlation	NOUN
ajst-30889	128	44	coefficient	coefficient	NOUN
ajst-30889	128	45	is	be	AUX
ajst-30889	128	46	tested	test	VERB
ajst-30889	128	47	for	for	ADP
ajst-30889	128	48	significance	significance	NOUN
ajst-30889	128	49	,	,	PUNCT
ajst-30889	128	50	so	so	SCONJ
ajst-30889	128	51	as	as	SCONJ
ajst-30889	128	52	to	to	PART
ajst-30889	128	53	determine	determine	VERB
ajst-30889	128	54	the	the	DET
ajst-30889	128	55	main	main	ADJ
ajst-30889	128	56	factor	factor	NOUN
ajst-30889	128	57	affecting	affect	VERB
ajst-30889	128	58	dam	dam	NOUN
ajst-30889	128	59	deformation	deformation	NOUN
ajst-30889	128	60	.	.	PUNCT
ajst-30889	129	1	the	the	DET
ajst-30889	129	2	calculation	calculation	NOUN
ajst-30889	129	3	results	result	NOUN
ajst-30889	129	4	are	be	AUX
ajst-30889	129	5	shown	show	VERB
ajst-30889	129	6	in	in	ADP
ajst-30889	129	7	table	table	NOUN
ajst-30889	129	8	2	2	NUM
ajst-30889	129	9	.	.	SYM
ajst-30889	129	10	79	79	NUM
ajst-30889	129	11	table	table	NOUN
ajst-30889	129	12	2	2	NUM
ajst-30889	129	13	.	.	X
ajst-30889	129	14	spearman	spearman	NOUN
ajst-30889	129	15	rank	rank	NOUN
ajst-30889	129	16	correlation	correlation	NOUN
ajst-30889	129	17	coefficient	coefficient	NOUN
ajst-30889	129	18	and	and	CCONJ
ajst-30889	129	19	statistic	statistic	ADJ
ajst-30889	129	20	t	t	PROPN
ajst-30889	129	21	of	of	ADP
ajst-30889	129	22	influence	influence	NOUN
ajst-30889	129	23	factors	factor	NOUN
ajst-30889	129	24	and	and	CCONJ
ajst-30889	129	25	dam	dam	NOUN
ajst-30889	129	26	displacement	displacement	ADJ
ajst-30889	129	27	impact	impact	NOUN
ajst-30889	129	28	factors	factor	NOUN
ajst-30889	129	29	correlation	correlation	NOUN
ajst-30889	129	30	coefficient	coefficient	NOUN
ajst-30889	129	31	statistic	statistic	PROPN
ajst-30889	129	32	t	t	PROPN
ajst-30889	129	33	h	h	NOUN
ajst-30889	129	34	0.1396	0.1396	NUM
ajst-30889	129	35	0.996	0.996	NUM
ajst-30889	129	36	2h	2h	NUM
ajst-30889	129	37	0.1396	0.1396	NUM
ajst-30889	129	38	0.996	0.996	NUM
ajst-30889	129	39	3h	3h	NUM
ajst-30889	129	40	0.1396	0.1396	NUM
ajst-30889	129	41	0.996	0.996	NUM
ajst-30889	129	42	4h	4h	NUM
ajst-30889	129	43	0.1396	0.1396	NUM
ajst-30889	129	44	0.996	0.996	NUM
ajst-30889	129	45	5h	5h	NUM
ajst-30889	129	46	0.1396	0.1396	NUM
ajst-30889	129	47	0.996	0.996	NUM
ajst-30889	129	48	0	0	NUM
ajst-30889	129	49	t	t	PRON
ajst-30889	129	50	-0.9013	-0.9013	NOUN
ajst-30889	129	51	-14.716	-14.716	NOUN
ajst-30889	129	52	sint	sint	VERB
ajst-30889	129	53	0.3113	0.3113	NUM
ajst-30889	129	54	2.317	2.317	NUM
ajst-30889	129	55	cost	cost	VERB
ajst-30889	129	56	0.8629	0.8629	NUM
ajst-30889	129	57	12.074	12.074	NUM
ajst-30889	129	58	2sin	2sin	NUM
ajst-30889	129	59	t	t	PROPN
ajst-30889	129	60	-0.1186	-0.1186	PROPN
ajst-30889	129	61	-0.845	-0.845	PUNCT
ajst-30889	130	1			NOUN
ajst-30889	130	2	0.0296	0.0296	NUM
ajst-30889	130	3	0.209	0.209	NUM
ajst-30889	130	4	2	2	NUM
ajst-30889	130	5	0.0296	0.0296	NUM
ajst-30889	130	6	0.209	0.209	NUM
ajst-30889	131	1	3	3	NUM
ajst-30889	131	2	0.0296	0.0296	NUM
ajst-30889	131	3	0.209	0.209	NUM
ajst-30889	131	4	4	4	NOUN
ajst-30889	131	5	0.0296	0.0296	NUM
ajst-30889	131	6	0.209	0.209	NUM
ajst-30889	131	7	5	5	NOUN
ajst-30889	131	8	0.0296	0.0296	NUM
ajst-30889	131	9	0.209	0.209	NUM
ajst-30889	131	10	ln	ln	NOUN
ajst-30889	131	11	0.033	0.033	NUM
ajst-30889	131	12	0.233	0.233	NUM
ajst-30889	131	13	the	the	DET
ajst-30889	131	14	verification	verification	NOUN
ajst-30889	131	15	process	process	NOUN
ajst-30889	131	16	of	of	ADP
ajst-30889	131	17	spearman	spearman	NOUN
ajst-30889	131	18	rank	rank	NOUN
ajst-30889	131	19	correlation	correlation	NOUN
ajst-30889	131	20	coefficient	coefficient	NOUN
ajst-30889	131	21	using	use	VERB
ajst-30889	131	22	significance	significance	NOUN
ajst-30889	131	23	test	test	NOUN
ajst-30889	131	24	is	be	AUX
ajst-30889	131	25	as	as	SCONJ
ajst-30889	131	26	follows	follow	VERB
ajst-30889	131	27	:	:	PUNCT
ajst-30889	131	28	(	(	PUNCT
ajst-30889	131	29	1	1	X
ajst-30889	131	30	)	)	PUNCT
ajst-30889	131	31	first	first	ADV
ajst-30889	131	32	,	,	PUNCT
ajst-30889	131	33	establish	establish	VERB
ajst-30889	131	34	the	the	DET
ajst-30889	131	35	null	null	ADJ
ajst-30889	131	36	hypothesis	hypothesis	NOUN
ajst-30889	131	37	and	and	CCONJ
ajst-30889	131	38	the	the	DET
ajst-30889	131	39	reserve	reserve	PROPN
ajst-30889	131	40	hypothesis	hypothesis	NOUN
ajst-30889	131	41	.	.	PUNCT
ajst-30889	132	1	h0	h0	PROPN
ajst-30889	132	2	represents	represent	VERB
ajst-30889	132	3	spearman	spearman	NOUN
ajst-30889	132	4	's	's	PART
ajst-30889	132	5	rank	rank	NOUN
ajst-30889	132	6	correlation	correlation	NOUN
ajst-30889	132	7	coefficient	coefficient	NOUN
ajst-30889	132	8	r	r	NOUN
ajst-30889	132	9	=	=	SYM
ajst-30889	132	10	0	0	NUM
ajst-30889	132	11	,	,	PUNCT
ajst-30889	132	12	not	not	PART
ajst-30889	132	13	significant	significant	ADJ
ajst-30889	132	14	.	.	PUNCT
ajst-30889	133	1	h1	h1	PROPN
ajst-30889	133	2	represents	represent	VERB
ajst-30889	133	3	spearman	spearman	NOUN
ajst-30889	133	4	's	's	PART
ajst-30889	133	5	rank	rank	NOUN
ajst-30889	133	6	correlation	correlation	NOUN
ajst-30889	133	7	coefficient	coefficient	NOUN
ajst-30889	133	8	r≠0	r≠0	NOUN
ajst-30889	133	9	,	,	PUNCT
ajst-30889	133	10	significant	significant	ADJ
ajst-30889	133	11	.	.	PUNCT
ajst-30889	134	1	(	(	PUNCT
ajst-30889	134	2	2	2	X
ajst-30889	134	3	)	)	PUNCT
ajst-30889	134	4	construction	construction	NOUN
ajst-30889	134	5	and	and	CCONJ
ajst-30889	134	6	calculation	calculation	NOUN
ajst-30889	134	7	of	of	ADP
ajst-30889	134	8	statistics	statistic	NOUN
ajst-30889	134	9	the	the	DET
ajst-30889	134	10	statistic	statistic	PROPN
ajst-30889	134	11	t	t	PROPN
ajst-30889	134	12	is	be	AUX
ajst-30889	134	13	used	use	VERB
ajst-30889	134	14	to	to	PART
ajst-30889	134	15	verify	verify	VERB
ajst-30889	134	16	whether	whether	SCONJ
ajst-30889	134	17	r	r	NOUN
ajst-30889	134	18	is	be	AUX
ajst-30889	134	19	significant	significant	ADJ
ajst-30889	134	20	.	.	PUNCT
ajst-30889	135	1	the	the	DET
ajst-30889	135	2	calculation	calculation	NOUN
ajst-30889	135	3	formula	formula	NOUN
ajst-30889	135	4	is	be	AUX
ajst-30889	135	5	as	as	SCONJ
ajst-30889	135	6	follows	follow	VERB
ajst-30889	135	7	.	.	PUNCT
ajst-30889	136	1	the	the	DET
ajst-30889	136	2	calculation	calculation	NOUN
ajst-30889	136	3	results	result	NOUN
ajst-30889	136	4	are	be	AUX
ajst-30889	136	5	shown	show	VERB
ajst-30889	136	6	in	in	ADP
ajst-30889	136	7	table	table	NOUN
ajst-30889	136	8	2	2	NUM
ajst-30889	136	9	.	.	SYM
ajst-30889	136	10	2	2	NUM
ajst-30889	136	11	2	2	NUM
ajst-30889	136	12	1	1	NUM
ajst-30889	136	13	n	n	NOUN
ajst-30889	136	14	t	t	NOUN
ajst-30889	136	15	r	r	NOUN
ajst-30889	136	16	r	r	NOUN
ajst-30889	136	17			PROPN
ajst-30889	136	18			PROPN
ajst-30889	136	19			NOUN
ajst-30889	136	20	(	(	PUNCT
ajst-30889	136	21	15	15	NUM
ajst-30889	136	22	)	)	PUNCT
ajst-30889	136	23	(	(	PUNCT
ajst-30889	136	24	3	3	X
ajst-30889	136	25	)	)	PUNCT
ajst-30889	136	26	determine	determine	VERB
ajst-30889	136	27	the	the	DET
ajst-30889	136	28	significance	significance	NOUN
ajst-30889	136	29	level	level	NOUN
ajst-30889	136	30	and	and	CCONJ
ajst-30889	136	31	the	the	DET
ajst-30889	136	32	negative	negative	ADJ
ajst-30889	136	33	domain	domain	NOUN
ajst-30889	136	34	.	.	PUNCT
ajst-30889	137	1	when	when	SCONJ
ajst-30889	137	2	the	the	DET
ajst-30889	137	3	significant	significant	ADJ
ajst-30889	137	4	level	level	NOUN
ajst-30889	137	5	0.05	0.05	NUM
ajst-30889	137	6			NOUN
ajst-30889	137	7	,	,	PUNCT
ajst-30889	137	8	the	the	DET
ajst-30889	137	9	negative	negative	ADJ
ajst-30889	137	10	domain	domain	NOUN
ajst-30889	137	11			PROPN
ajst-30889	137	12	0.025||	0.025||	PROPN
ajst-30889	137	13	|	|	ADV
ajst-30889	137	14	(	(	PUNCT
ajst-30889	137	15	50)t	50)t	NUM
ajst-30889	137	16	t	t	NOUN
ajst-30889	137	17	t	t	X
ajst-30889	137	18			PROPN
ajst-30889	137	19	.	.	PUNCT
ajst-30889	138	1	after	after	ADP
ajst-30889	138	2	verification	verification	NOUN
ajst-30889	138	3	,	,	PUNCT
ajst-30889	138	4	we	we	PRON
ajst-30889	138	5	can	can	AUX
ajst-30889	138	6	find	find	VERB
ajst-30889	138	7	that	that	SCONJ
ajst-30889	138	8	the	the	DET
ajst-30889	138	9	three	three	NUM
ajst-30889	138	10	factors	factor	NOUN
ajst-30889	138	11	of	of	ADP
ajst-30889	138	12	t0	t0	NOUN
ajst-30889	138	13	,	,	PUNCT
ajst-30889	138	14	sint	sint	ADJ
ajst-30889	138	15	and	and	CCONJ
ajst-30889	138	16	cost	cost	NOUN
ajst-30889	138	17	are	be	AUX
ajst-30889	138	18	significantly	significantly	ADV
ajst-30889	138	19	correlated	correlate	VERB
ajst-30889	138	20	with	with	ADP
ajst-30889	138	21	the	the	DET
ajst-30889	138	22	dam	dam	NOUN
ajst-30889	138	23	displacement	displacement	NOUN
ajst-30889	138	24	,	,	PUNCT
ajst-30889	138	25	the	the	DET
ajst-30889	138	26	five	five	NUM
ajst-30889	138	27	factors	factor	NOUN
ajst-30889	138	28	of	of	ADP
ajst-30889	138	29	h	h	NOUN
ajst-30889	138	30	,	,	PUNCT
ajst-30889	138	31	h2	h2	PROPN
ajst-30889	138	32	,	,	PUNCT
ajst-30889	138	33	h3	h3	NOUN
ajst-30889	138	34	,	,	PUNCT
ajst-30889	138	35	h4	h4	NOUN
ajst-30889	138	36	and	and	CCONJ
ajst-30889	138	37	h5	h5	NOUN
ajst-30889	138	38	are	be	AUX
ajst-30889	138	39	nearly	nearly	ADV
ajst-30889	138	40	significantly	significantly	ADV
ajst-30889	138	41	correlated	correlate	VERB
ajst-30889	138	42	with	with	ADP
ajst-30889	138	43	the	the	DET
ajst-30889	138	44	dam	dam	NOUN
ajst-30889	138	45	displacement	displacement	NOUN
ajst-30889	138	46	,	,	PUNCT
ajst-30889	138	47	and	and	CCONJ
ajst-30889	138	48	the	the	DET
ajst-30889	138	49	other	other	ADJ
ajst-30889	138	50	influencing	influence	VERB
ajst-30889	138	51	factors	factor	NOUN
ajst-30889	138	52	are	be	AUX
ajst-30889	138	53	basically	basically	ADV
ajst-30889	138	54	not	not	PART
ajst-30889	138	55	significantly	significantly	ADV
ajst-30889	138	56	correlated	correlate	VERB
ajst-30889	138	57	with	with	ADP
ajst-30889	138	58	the	the	DET
ajst-30889	138	59	dam	dam	NOUN
ajst-30889	138	60	displacement	displacement	NOUN
ajst-30889	138	61	.	.	PUNCT
ajst-30889	139	1	finally	finally	ADV
ajst-30889	139	2	,	,	PUNCT
ajst-30889	139	3	the	the	DET
ajst-30889	139	4	four	four	NUM
ajst-30889	139	5	influencing	influence	VERB
ajst-30889	139	6	factors	factor	NOUN
ajst-30889	139	7	of	of	ADP
ajst-30889	139	8	t0	t0	PROPN
ajst-30889	139	9	,	,	PUNCT
ajst-30889	139	10	sint	sint	NOUN
ajst-30889	139	11	,	,	PUNCT
ajst-30889	139	12	cost	cost	NOUN
ajst-30889	139	13	and	and	CCONJ
ajst-30889	139	14	h	h	NOUN
ajst-30889	139	15	are	be	AUX
ajst-30889	139	16	determined	determine	VERB
ajst-30889	139	17	as	as	ADP
ajst-30889	139	18	the	the	DET
ajst-30889	139	19	main	main	ADJ
ajst-30889	139	20	factor	factor	NOUN
ajst-30889	139	21	of	of	ADP
ajst-30889	139	22	dam	dam	NOUN
ajst-30889	139	23	deformation	deformation	NOUN
ajst-30889	139	24	.	.	PUNCT
ajst-30889	140	1	5	5	X
ajst-30889	140	2	.	.	X
ajst-30889	140	3	dam	dam	NOUN
ajst-30889	140	4	deformation	deformation	NOUN
ajst-30889	140	5	prediction	prediction	NOUN
ajst-30889	140	6	based	base	VERB
ajst-30889	140	7	on	on	ADP
ajst-30889	140	8	wavelet	wavelet	NOUN
ajst-30889	140	9	neural	neural	ADJ
ajst-30889	140	10	network	network	NOUN
ajst-30889	140	11	model	model	NOUN
ajst-30889	140	12	5.1	5.1	NUM
ajst-30889	140	13	.	.	PUNCT
ajst-30889	141	1	selection	selection	NOUN
ajst-30889	141	2	of	of	ADP
ajst-30889	141	3	wavelet	wavelet	NOUN
ajst-30889	141	4	function	function	VERB
ajst-30889	141	5	the	the	DET
ajst-30889	141	6	establishment	establishment	NOUN
ajst-30889	141	7	of	of	ADP
ajst-30889	141	8	the	the	DET
ajst-30889	141	9	wavelet	wavelet	NOUN
ajst-30889	141	10	neural	neural	PROPN
ajst-30889	141	11	network	network	NOUN
ajst-30889	141	12	model	model	NOUN
ajst-30889	141	13	is	be	AUX
ajst-30889	141	14	to	to	PART
ajst-30889	141	15	use	use	VERB
ajst-30889	141	16	the	the	DET
ajst-30889	141	17	wavelet	wavelet	NOUN
ajst-30889	141	18	function	function	NOUN
ajst-30889	141	19	as	as	ADP
ajst-30889	141	20	the	the	DET
ajst-30889	141	21	excitation	excitation	NOUN
ajst-30889	141	22	function	function	NOUN
ajst-30889	141	23	to	to	PART
ajst-30889	141	24	construct	construct	VERB
ajst-30889	141	25	the	the	DET
ajst-30889	141	26	network	network	NOUN
ajst-30889	141	27	.	.	PUNCT
ajst-30889	142	1	therefore	therefore	ADV
ajst-30889	142	2	,	,	PUNCT
ajst-30889	142	3	selecting	select	VERB
ajst-30889	142	4	a	a	DET
ajst-30889	142	5	wavelet	wavelet	NOUN
ajst-30889	142	6	function	function	NOUN
ajst-30889	142	7	suitable	suitable	ADJ
ajst-30889	142	8	for	for	ADP
ajst-30889	142	9	the	the	DET
ajst-30889	142	10	wavelet	wavelet	NOUN
ajst-30889	142	11	neural	neural	PROPN
ajst-30889	142	12	network	network	NOUN
ajst-30889	142	13	plays	play	VERB
ajst-30889	142	14	a	a	DET
ajst-30889	142	15	very	very	ADV
ajst-30889	142	16	important	important	ADJ
ajst-30889	142	17	role	role	NOUN
ajst-30889	142	18	in	in	ADP
ajst-30889	142	19	the	the	DET
ajst-30889	142	20	training	training	NOUN
ajst-30889	142	21	of	of	ADP
ajst-30889	142	22	the	the	DET
ajst-30889	142	23	network	network	NOUN
ajst-30889	142	24	and	and	CCONJ
ajst-30889	142	25	the	the	DET
ajst-30889	142	26	quality	quality	NOUN
ajst-30889	142	27	of	of	ADP
ajst-30889	142	28	the	the	DET
ajst-30889	142	29	predicted	predict	VERB
ajst-30889	142	30	results	result	NOUN
ajst-30889	142	31	.	.	PUNCT
ajst-30889	143	1	morlet	morlet	NOUN
ajst-30889	143	2	function	function	NOUN
ajst-30889	143	3	and	and	CCONJ
ajst-30889	143	4	mexican	mexican	ADJ
ajst-30889	143	5	hat	hat	NOUN
ajst-30889	143	6	function	function	NOUN
ajst-30889	143	7	are	be	AUX
ajst-30889	143	8	commonly	commonly	ADV
ajst-30889	143	9	used	use	VERB
ajst-30889	143	10	in	in	ADP
ajst-30889	143	11	wavelet	wavelet	NOUN
ajst-30889	143	12	neural	neural	ADJ
ajst-30889	143	13	network	network	NOUN
ajst-30889	143	14	prediction	prediction	NOUN
ajst-30889	143	15	.	.	PUNCT
ajst-30889	144	1	both	both	PRON
ajst-30889	144	2	of	of	ADP
ajst-30889	144	3	them	they	PRON
ajst-30889	144	4	belong	belong	VERB
ajst-30889	144	5	to	to	ADP
ajst-30889	144	6	non	non	ADJ
ajst-30889	144	7	-	-	ADJ
ajst-30889	144	8	orthogonal	orthogonal	ADJ
ajst-30889	144	9	wavelet	wavelet	NOUN
ajst-30889	144	10	basis	basis	NOUN
ajst-30889	144	11	functions	function	NOUN
ajst-30889	144	12	.	.	PUNCT
ajst-30889	145	1	morlet	morlet	PROPN
ajst-30889	145	2	wavelet	wavelet	NOUN
ajst-30889	145	3	function	function	NOUN
ajst-30889	145	4	is	be	AUX
ajst-30889	145	5	generally	generally	ADV
ajst-30889	145	6	used	use	VERB
ajst-30889	145	7	for	for	ADP
ajst-30889	145	8	classification	classification	NOUN
ajst-30889	145	9	,	,	PUNCT
ajst-30889	145	10	image	image	NOUN
ajst-30889	145	11	recognition	recognition	NOUN
ajst-30889	145	12	and	and	CCONJ
ajst-30889	145	13	feature	feature	NOUN
ajst-30889	145	14	extraction	extraction	NOUN
ajst-30889	145	15	.	.	PUNCT
ajst-30889	146	1	mexican	mexican	ADJ
ajst-30889	146	2	hat	hat	NOUN
ajst-30889	146	3	function	function	NOUN
ajst-30889	146	4	is	be	AUX
ajst-30889	146	5	often	often	ADV
ajst-30889	146	6	used	use	VERB
ajst-30889	146	7	for	for	ADP
ajst-30889	146	8	system	system	NOUN
ajst-30889	146	9	recognition[9	recognition[9	NUM
ajst-30889	146	10	]	]	PUNCT
ajst-30889	146	11	.	.	PUNCT
ajst-30889	147	1	the	the	DET
ajst-30889	147	2	wavelet	wavelet	PROPN
ajst-30889	147	3	neural	neural	PROPN
ajst-30889	147	4	network	network	NOUN
ajst-30889	147	5	is	be	AUX
ajst-30889	147	6	established	establish	VERB
ajst-30889	147	7	by	by	ADP
ajst-30889	147	8	using	use	VERB
ajst-30889	147	9	these	these	DET
ajst-30889	147	10	two	two	NUM
ajst-30889	147	11	wavelets	wavelet	NOUN
ajst-30889	147	12	respectively	respectively	ADV
ajst-30889	147	13	,	,	PUNCT
ajst-30889	147	14	and	and	CCONJ
ajst-30889	147	15	the	the	DET
ajst-30889	147	16	root	root	NOUN
ajst-30889	147	17	mean	mean	VERB
ajst-30889	147	18	square	square	ADJ
ajst-30889	147	19	error	error	NOUN
ajst-30889	147	20	of	of	ADP
ajst-30889	147	21	the	the	DET
ajst-30889	147	22	prediction	prediction	NOUN
ajst-30889	147	23	results	result	NOUN
ajst-30889	147	24	is	be	AUX
ajst-30889	147	25	compared	compare	VERB
ajst-30889	147	26	.	.	PUNCT
ajst-30889	148	1	the	the	DET
ajst-30889	148	2	results	result	NOUN
ajst-30889	148	3	are	be	AUX
ajst-30889	148	4	shown	show	VERB
ajst-30889	148	5	in	in	ADP
ajst-30889	148	6	table	table	NOUN
ajst-30889	148	7	3	3	NUM
ajst-30889	148	8	.	.	PUNCT
ajst-30889	149	1	(	(	PUNCT
ajst-30889	149	2	1	1	X
ajst-30889	149	3	)	)	PUNCT
ajst-30889	149	4	morlet	morlet	NOUN
ajst-30889	149	5	wavelet	wavelet	NOUN
ajst-30889	149	6	function	function	NOUN
ajst-30889	149	7	expression	expression	NOUN
ajst-30889	149	8	:	:	PUNCT
ajst-30889	149	9	2	2	NUM
ajst-30889	149	10	/2cos(1.75	/2cos(1.75	NOUN
ajst-30889	149	11	)	)	PUNCT
ajst-30889	149	12	xy	xy	PROPN
ajst-30889	150	1	e	e	PROPN
ajst-30889	150	2	(	(	PUNCT
ajst-30889	150	3	16	16	NUM
ajst-30889	150	4	)	)	PUNCT
ajst-30889	150	5	(	(	PUNCT
ajst-30889	150	6	2	2	X
ajst-30889	150	7	)	)	PUNCT
ajst-30889	150	8	mexican	mexican	ADJ
ajst-30889	150	9	hat	hat	NOUN
ajst-30889	150	10	wavelet	wavelet	NOUN
ajst-30889	150	11	function	function	NOUN
ajst-30889	150	12	expression	expression	NOUN
ajst-30889	150	13	:	:	PUNCT
ajst-30889	150	14	22	22	NUM
ajst-30889	150	15	/2(1	/2(1	PUNCT
ajst-30889	150	16	)	)	PUNCT
ajst-30889	151	1	xy	xy	NOUN
ajst-30889	151	2	x	x	PUNCT
ajst-30889	151	3	e	e	ADJ
ajst-30889	151	4			NOUN
ajst-30889	151	5	(	(	PUNCT
ajst-30889	151	6	17	17	NUM
ajst-30889	151	7	)	)	PUNCT
ajst-30889	151	8	the	the	DET
ajst-30889	151	9	function	function	NOUN
ajst-30889	151	10	image	image	NOUN
ajst-30889	151	11	is	be	AUX
ajst-30889	151	12	shown	show	VERB
ajst-30889	151	13	in	in	ADP
ajst-30889	151	14	fig.2	fig.2	PROPN
ajst-30889	151	15	:	:	PUNCT
ajst-30889	151	16	80	80	NUM
ajst-30889	151	17	figure	figure	NOUN
ajst-30889	151	18	2	2	NUM
ajst-30889	151	19	.	.	PUNCT
ajst-30889	151	20	image	image	NOUN
ajst-30889	151	21	of	of	ADP
ajst-30889	151	22	morlet	morlet	PROPN
ajst-30889	151	23	wavelet	wavelet	NOUN
ajst-30889	151	24	function	function	NOUN
ajst-30889	151	25	and	and	CCONJ
ajst-30889	151	26	mexican	mexican	ADJ
ajst-30889	151	27	hat	hat	NOUN
ajst-30889	151	28	wavelet	wavelet	NOUN
ajst-30889	151	29	function	function	NOUN
ajst-30889	151	30	table	table	NOUN
ajst-30889	151	31	3	3	NUM
ajst-30889	151	32	.	.	X
ajst-30889	151	33	root	root	NOUN
ajst-30889	151	34	mean	mean	VERB
ajst-30889	151	35	square	square	ADJ
ajst-30889	151	36	error	error	NOUN
ajst-30889	151	37	of	of	ADP
ajst-30889	151	38	different	different	ADJ
ajst-30889	151	39	wavelet	wavelet	NOUN
ajst-30889	151	40	function	function	NOUN
ajst-30889	151	41	training	training	NOUN
ajst-30889	151	42	and	and	CCONJ
ajst-30889	151	43	test	test	NOUN
ajst-30889	151	44	results	result	VERB
ajst-30889	151	45	wavelet	wavelet	NOUN
ajst-30889	151	46	function	function	PROPN
ajst-30889	151	47	rmse	rmse	NOUN
ajst-30889	151	48	of	of	ADP
ajst-30889	151	49	training	train	VERB
ajst-30889	151	50	results(dm	results(dm	PROPN
ajst-30889	151	51	)	)	PUNCT
ajst-30889	151	52	rmse	rmse	NOUN
ajst-30889	151	53	of	of	ADP
ajst-30889	151	54	test	test	NOUN
ajst-30889	151	55	results(dm	results(dm	PROPN
ajst-30889	151	56	)	)	PUNCT
ajst-30889	151	57	morlet	morlet	VERB
ajst-30889	151	58	0.3595	0.3595	NUM
ajst-30889	151	59	0.2155	0.2155	NUM
ajst-30889	151	60	mexican	mexican	ADJ
ajst-30889	151	61	hat	hat	NOUN
ajst-30889	151	62	0.3990	0.3990	NUM
ajst-30889	151	63	0.2669	0.2669	NUM
ajst-30889	152	1	it	it	PRON
ajst-30889	152	2	can	can	AUX
ajst-30889	152	3	be	be	AUX
ajst-30889	152	4	seen	see	VERB
ajst-30889	152	5	from	from	ADP
ajst-30889	152	6	table	table	NOUN
ajst-30889	152	7	3	3	NUM
ajst-30889	152	8	that	that	SCONJ
ajst-30889	152	9	the	the	DET
ajst-30889	152	10	root	root	NOUN
ajst-30889	152	11	mean	mean	VERB
ajst-30889	152	12	square	square	ADJ
ajst-30889	152	13	error	error	NOUN
ajst-30889	152	14	of	of	ADP
ajst-30889	152	15	the	the	DET
ajst-30889	152	16	training	training	NOUN
ajst-30889	152	17	and	and	CCONJ
ajst-30889	152	18	test	test	NOUN
ajst-30889	152	19	results	result	NOUN
ajst-30889	152	20	of	of	ADP
ajst-30889	152	21	the	the	DET
ajst-30889	152	22	wavelet	wavelet	NOUN
ajst-30889	152	23	neural	neural	PROPN
ajst-30889	152	24	network	network	NOUN
ajst-30889	152	25	constructed	construct	VERB
ajst-30889	152	26	by	by	ADP
ajst-30889	152	27	two	two	NUM
ajst-30889	152	28	different	different	ADJ
ajst-30889	152	29	wavelet	wavelet	NOUN
ajst-30889	152	30	functions	function	NOUN
ajst-30889	152	31	is	be	AUX
ajst-30889	152	32	in	in	ADP
ajst-30889	152	33	the	the	DET
ajst-30889	152	34	same	same	ADJ
ajst-30889	152	35	order	order	NOUN
ajst-30889	152	36	of	of	ADP
ajst-30889	152	37	magnitude	magnitude	NOUN
ajst-30889	152	38	,	,	PUNCT
ajst-30889	152	39	but	but	CCONJ
ajst-30889	152	40	the	the	DET
ajst-30889	152	41	accuracy	accuracy	NOUN
ajst-30889	152	42	of	of	ADP
ajst-30889	152	43	the	the	DET
ajst-30889	152	44	training	training	NOUN
ajst-30889	152	45	and	and	CCONJ
ajst-30889	152	46	test	test	NOUN
ajst-30889	152	47	results	result	NOUN
ajst-30889	152	48	of	of	ADP
ajst-30889	152	49	the	the	DET
ajst-30889	152	50	wavelet	wavelet	NOUN
ajst-30889	152	51	neural	neural	PROPN
ajst-30889	152	52	network	network	NOUN
ajst-30889	152	53	constructed	construct	VERB
ajst-30889	152	54	by	by	ADP
ajst-30889	152	55	the	the	DET
ajst-30889	152	56	morlet	morlet	NOUN
ajst-30889	152	57	function	function	NOUN
ajst-30889	152	58	is	be	AUX
ajst-30889	152	59	slightly	slightly	ADV
ajst-30889	152	60	higher	high	ADJ
ajst-30889	152	61	than	than	ADP
ajst-30889	152	62	that	that	PRON
ajst-30889	152	63	of	of	ADP
ajst-30889	152	64	the	the	DET
ajst-30889	152	65	wavelet	wavelet	NOUN
ajst-30889	152	66	neural	neural	PROPN
ajst-30889	152	67	network	network	NOUN
ajst-30889	152	68	constructed	construct	VERB
ajst-30889	152	69	by	by	ADP
ajst-30889	152	70	the	the	DET
ajst-30889	152	71	mexican	mexican	ADJ
ajst-30889	152	72	hat	hat	NOUN
ajst-30889	152	73	function	function	NOUN
ajst-30889	152	74	.	.	PUNCT
ajst-30889	153	1	it	it	PRON
ajst-30889	153	2	is	be	AUX
ajst-30889	153	3	found	find	VERB
ajst-30889	153	4	that	that	SCONJ
ajst-30889	153	5	the	the	DET
ajst-30889	153	6	stability	stability	NOUN
ajst-30889	153	7	of	of	ADP
ajst-30889	153	8	the	the	DET
ajst-30889	153	9	morlet	morlet	NOUN
ajst-30889	153	10	function	function	NOUN
ajst-30889	153	11	prediction	prediction	NOUN
ajst-30889	153	12	is	be	AUX
ajst-30889	153	13	higher	high	ADJ
ajst-30889	153	14	.	.	PUNCT
ajst-30889	154	1	therefore	therefore	ADV
ajst-30889	154	2	,	,	PUNCT
ajst-30889	154	3	this	this	DET
ajst-30889	154	4	paper	paper	NOUN
ajst-30889	154	5	uses	use	VERB
ajst-30889	154	6	the	the	DET
ajst-30889	154	7	morlet	morlet	NOUN
ajst-30889	154	8	function	function	NOUN
ajst-30889	154	9	as	as	ADP
ajst-30889	154	10	the	the	DET
ajst-30889	154	11	excitation	excitation	NOUN
ajst-30889	154	12	function	function	NOUN
ajst-30889	154	13	between	between	ADP
ajst-30889	154	14	the	the	DET
ajst-30889	154	15	input	input	NOUN
ajst-30889	154	16	layer	layer	NOUN
ajst-30889	154	17	and	and	CCONJ
ajst-30889	154	18	the	the	DET
ajst-30889	154	19	hidden	hide	VERB
ajst-30889	154	20	layer	layer	NOUN
ajst-30889	154	21	.	.	PUNCT
ajst-30889	155	1	5.2	5.2	NUM
ajst-30889	155	2	.	.	PUNCT
ajst-30889	156	1	determination	determination	NOUN
ajst-30889	156	2	of	of	ADP
ajst-30889	156	3	the	the	DET
ajst-30889	156	4	number	number	NOUN
ajst-30889	156	5	of	of	ADP
ajst-30889	156	6	hidden	hide	VERB
ajst-30889	156	7	layer	layer	NOUN
ajst-30889	156	8	nodes	node	NOUN
ajst-30889	156	9	in	in	ADP
ajst-30889	156	10	the	the	DET
ajst-30889	156	11	wavelet	wavelet	NOUN
ajst-30889	156	12	neural	neural	ADJ
ajst-30889	156	13	network	network	NOUN
ajst-30889	156	14	,	,	PUNCT
ajst-30889	156	15	the	the	DET
ajst-30889	156	16	choice	choice	NOUN
ajst-30889	156	17	of	of	ADP
ajst-30889	156	18	the	the	DET
ajst-30889	156	19	number	number	NOUN
ajst-30889	156	20	of	of	ADP
ajst-30889	156	21	hidden	hide	VERB
ajst-30889	156	22	layer	layer	NOUN
ajst-30889	156	23	nodes	node	NOUN
ajst-30889	156	24	is	be	AUX
ajst-30889	156	25	very	very	ADV
ajst-30889	156	26	important	important	ADJ
ajst-30889	156	27	for	for	ADP
ajst-30889	156	28	the	the	DET
ajst-30889	156	29	success	success	NOUN
ajst-30889	156	30	of	of	ADP
ajst-30889	156	31	network	network	NOUN
ajst-30889	156	32	establishment	establishment	NOUN
ajst-30889	156	33	.	.	PUNCT
ajst-30889	157	1	the	the	DET
ajst-30889	157	2	number	number	NOUN
ajst-30889	157	3	of	of	ADP
ajst-30889	157	4	hidden	hide	VERB
ajst-30889	157	5	layer	layer	NOUN
ajst-30889	157	6	nodes	node	NOUN
ajst-30889	157	7	mainly	mainly	ADV
ajst-30889	157	8	affects	affect	VERB
ajst-30889	157	9	the	the	DET
ajst-30889	157	10	generalization	generalization	NOUN
ajst-30889	157	11	ability	ability	NOUN
ajst-30889	157	12	and	and	CCONJ
ajst-30889	157	13	network	network	NOUN
ajst-30889	157	14	training	training	NOUN
ajst-30889	157	15	speed	speed	NOUN
ajst-30889	157	16	of	of	ADP
ajst-30889	157	17	wavelet	wavelet	NOUN
ajst-30889	157	18	neural	neural	ADJ
ajst-30889	157	19	network	network	NOUN
ajst-30889	157	20	.	.	PUNCT
ajst-30889	158	1	when	when	SCONJ
ajst-30889	158	2	the	the	DET
ajst-30889	158	3	number	number	NOUN
ajst-30889	158	4	of	of	ADP
ajst-30889	158	5	hidden	hide	VERB
ajst-30889	158	6	layer	layer	NOUN
ajst-30889	158	7	nodes	node	NOUN
ajst-30889	158	8	is	be	AUX
ajst-30889	158	9	too	too	ADV
ajst-30889	158	10	small	small	ADJ
ajst-30889	158	11	,	,	PUNCT
ajst-30889	158	12	the	the	DET
ajst-30889	158	13	performance	performance	NOUN
ajst-30889	158	14	ability	ability	NOUN
ajst-30889	158	15	of	of	ADP
ajst-30889	158	16	the	the	DET
ajst-30889	158	17	network	network	NOUN
ajst-30889	158	18	may	may	AUX
ajst-30889	158	19	be	be	AUX
ajst-30889	158	20	insufficient	insufficient	ADJ
ajst-30889	158	21	,	,	PUNCT
ajst-30889	158	22	the	the	DET
ajst-30889	158	23	learning	learning	NOUN
ajst-30889	158	24	process	process	NOUN
ajst-30889	158	25	may	may	AUX
ajst-30889	158	26	not	not	PART
ajst-30889	158	27	converge	converge	VERB
ajst-30889	158	28	,	,	PUNCT
ajst-30889	158	29	the	the	DET
ajst-30889	158	30	generalization	generalization	NOUN
ajst-30889	158	31	ability	ability	NOUN
ajst-30889	158	32	of	of	ADP
ajst-30889	158	33	the	the	DET
ajst-30889	158	34	network	network	NOUN
ajst-30889	158	35	is	be	AUX
ajst-30889	158	36	weak	weak	ADJ
ajst-30889	158	37	,	,	PUNCT
ajst-30889	158	38	and	and	CCONJ
ajst-30889	158	39	the	the	DET
ajst-30889	158	40	prediction	prediction	NOUN
ajst-30889	158	41	accuracy	accuracy	NOUN
ajst-30889	158	42	is	be	AUX
ajst-30889	158	43	not	not	PART
ajst-30889	158	44	high	high	ADJ
ajst-30889	158	45	.	.	PUNCT
ajst-30889	159	1	when	when	SCONJ
ajst-30889	159	2	the	the	DET
ajst-30889	159	3	number	number	NOUN
ajst-30889	159	4	of	of	ADP
ajst-30889	159	5	hidden	hide	VERB
ajst-30889	159	6	layer	layer	NOUN
ajst-30889	159	7	nodes	node	NOUN
ajst-30889	159	8	is	be	AUX
ajst-30889	159	9	too	too	ADV
ajst-30889	159	10	much	much	ADJ
ajst-30889	159	11	,	,	PUNCT
ajst-30889	159	12	the	the	DET
ajst-30889	159	13	network	network	NOUN
ajst-30889	159	14	learning	learning	NOUN
ajst-30889	159	15	time	time	NOUN
ajst-30889	159	16	is	be	AUX
ajst-30889	159	17	long	long	ADJ
ajst-30889	159	18	,	,	PUNCT
ajst-30889	159	19	the	the	DET
ajst-30889	159	20	network	network	NOUN
ajst-30889	159	21	is	be	AUX
ajst-30889	159	22	easy	easy	ADJ
ajst-30889	159	23	to	to	PART
ajst-30889	159	24	oscillate	oscillate	VERB
ajst-30889	159	25	,	,	PUNCT
ajst-30889	159	26	and	and	CCONJ
ajst-30889	159	27	the	the	DET
ajst-30889	159	28	network	network	NOUN
ajst-30889	159	29	is	be	AUX
ajst-30889	159	30	easy	easy	ADJ
ajst-30889	159	31	to	to	PART
ajst-30889	159	32	train	train	VERB
ajst-30889	159	33	too	too	ADV
ajst-30889	159	34	much	much	ADV
ajst-30889	159	35	,	,	PUNCT
ajst-30889	159	36	which	which	PRON
ajst-30889	159	37	makes	make	VERB
ajst-30889	159	38	the	the	DET
ajst-30889	159	39	fault	fault	NOUN
ajst-30889	159	40	tolerance	tolerance	NOUN
ajst-30889	159	41	performance	performance	NOUN
ajst-30889	159	42	of	of	ADP
ajst-30889	159	43	the	the	DET
ajst-30889	159	44	network	network	NOUN
ajst-30889	159	45	decrease	decrease	NOUN
ajst-30889	159	46	.	.	PUNCT
ajst-30889	160	1	therefore	therefore	ADV
ajst-30889	160	2	,	,	PUNCT
ajst-30889	160	3	in	in	ADP
ajst-30889	160	4	order	order	NOUN
ajst-30889	160	5	to	to	PART
ajst-30889	160	6	build	build	VERB
ajst-30889	160	7	a	a	DET
ajst-30889	160	8	good	good	ADJ
ajst-30889	160	9	prediction	prediction	NOUN
ajst-30889	160	10	model	model	NOUN
ajst-30889	160	11	,	,	PUNCT
ajst-30889	160	12	we	we	PRON
ajst-30889	160	13	must	must	AUX
ajst-30889	160	14	choose	choose	VERB
ajst-30889	160	15	a	a	DET
ajst-30889	160	16	suitable	suitable	ADJ
ajst-30889	160	17	number	number	NOUN
ajst-30889	160	18	of	of	ADP
ajst-30889	160	19	hidden	hide	VERB
ajst-30889	160	20	layer	layer	NOUN
ajst-30889	160	21	nodes	node	NOUN
ajst-30889	160	22	.	.	PUNCT
ajst-30889	161	1	however	however	ADV
ajst-30889	161	2	,	,	PUNCT
ajst-30889	161	3	there	there	PRON
ajst-30889	161	4	is	be	VERB
ajst-30889	161	5	no	no	DET
ajst-30889	161	6	standard	standard	ADJ
ajst-30889	161	7	expression	expression	NOUN
ajst-30889	161	8	for	for	ADP
ajst-30889	161	9	the	the	DET
ajst-30889	161	10	selection	selection	NOUN
ajst-30889	161	11	of	of	ADP
ajst-30889	161	12	the	the	DET
ajst-30889	161	13	number	number	NOUN
ajst-30889	161	14	of	of	ADP
ajst-30889	161	15	hidden	hide	VERB
ajst-30889	161	16	layer	layer	NOUN
ajst-30889	161	17	nodes	node	NOUN
ajst-30889	161	18	.	.	PUNCT
ajst-30889	162	1	we	we	PRON
ajst-30889	162	2	can	can	AUX
ajst-30889	162	3	only	only	ADV
ajst-30889	162	4	rely	rely	VERB
ajst-30889	162	5	on	on	ADP
ajst-30889	162	6	the	the	DET
ajst-30889	162	7	empirical	empirical	ADJ
ajst-30889	162	8	formula	formula	NOUN
ajst-30889	162	9	summarized	summarize	VERB
ajst-30889	162	10	by	by	ADP
ajst-30889	162	11	the	the	DET
ajst-30889	162	12	predecessors	predecessor	NOUN
ajst-30889	162	13	through	through	ADP
ajst-30889	162	14	continuous	continuous	ADJ
ajst-30889	162	15	research	research	NOUN
ajst-30889	162	16	to	to	PART
ajst-30889	162	17	determine	determine	VERB
ajst-30889	162	18	the	the	DET
ajst-30889	162	19	approximate	approximate	ADJ
ajst-30889	162	20	range	range	NOUN
ajst-30889	162	21	,	,	PUNCT
ajst-30889	162	22	and	and	CCONJ
ajst-30889	162	23	then	then	ADV
ajst-30889	162	24	determine	determine	VERB
ajst-30889	162	25	the	the	DET
ajst-30889	162	26	most	most	ADV
ajst-30889	162	27	suitable	suitable	ADJ
ajst-30889	162	28	number	number	NOUN
ajst-30889	162	29	of	of	ADP
ajst-30889	162	30	hidden	hide	VERB
ajst-30889	162	31	layer	layer	NOUN
ajst-30889	162	32	nodes	node	NOUN
ajst-30889	162	33	through	through	ADP
ajst-30889	162	34	training	training	NOUN
ajst-30889	162	35	experiments	experiment	NOUN
ajst-30889	162	36	.	.	PUNCT
ajst-30889	163	1	the	the	DET
ajst-30889	163	2	empirical	empirical	ADJ
ajst-30889	163	3	formulas	formula	NOUN
ajst-30889	163	4	used	use	VERB
ajst-30889	163	5	in	in	ADP
ajst-30889	163	6	this	this	DET
ajst-30889	163	7	paper	paper	NOUN
ajst-30889	163	8	are	be	AUX
ajst-30889	163	9	as	as	SCONJ
ajst-30889	163	10	follows	follow	VERB
ajst-30889	163	11	:	:	PUNCT
ajst-30889	163	12	l	l	NOUN
ajst-30889	163	13	m	m	VERB
ajst-30889	163	14	n	n	PRON
ajst-30889	163	15	i	i	NOUN
ajst-30889	163	16			ADV
ajst-30889	163	17			X
ajst-30889	163	18	(	(	PUNCT
ajst-30889	163	19	18	18	NUM
ajst-30889	163	20	)	)	PUNCT
ajst-30889	163	21	in	in	ADP
ajst-30889	163	22	the	the	DET
ajst-30889	163	23	formula	formula	NOUN
ajst-30889	163	24	,	,	PUNCT
ajst-30889	163	25	m	m	VERB
ajst-30889	163	26	represents	represent	VERB
ajst-30889	163	27	the	the	DET
ajst-30889	163	28	number	number	NOUN
ajst-30889	163	29	of	of	ADP
ajst-30889	163	30	input	input	NOUN
ajst-30889	163	31	neurons	neuron	NOUN
ajst-30889	163	32	,	,	PUNCT
ajst-30889	163	33	n	n	PRON
ajst-30889	163	34	represents	represent	VERB
ajst-30889	163	35	the	the	DET
ajst-30889	163	36	output	output	NOUN
ajst-30889	163	37	neurons	neuron	NOUN
ajst-30889	163	38	,	,	PUNCT
ajst-30889	163	39	and	and	CCONJ
ajst-30889	163	40	i	i	PRON
ajst-30889	163	41	represents	represent	VERB
ajst-30889	163	42	a	a	DET
ajst-30889	163	43	number	number	NOUN
ajst-30889	163	44	between	between	ADP
ajst-30889	163	45	1	1	NUM
ajst-30889	163	46	and	and	CCONJ
ajst-30889	163	47	10	10	NUM
ajst-30889	163	48	.	.	PUNCT
ajst-30889	164	1	combined	combine	VERB
ajst-30889	164	2	with	with	ADP
ajst-30889	164	3	the	the	DET
ajst-30889	164	4	correlation	correlation	NOUN
ajst-30889	164	5	analysis	analysis	NOUN
ajst-30889	164	6	of	of	ADP
ajst-30889	164	7	the	the	DET
ajst-30889	164	8	influence	influence	NOUN
ajst-30889	164	9	factors	factor	NOUN
ajst-30889	164	10	of	of	ADP
ajst-30889	164	11	xiaolangdi	xiaolangdi	PROPN
ajst-30889	164	12	dam	dam	PROPN
ajst-30889	164	13	deformation	deformation	NOUN
ajst-30889	164	14	in	in	ADP
ajst-30889	164	15	chapter	chapter	NOUN
ajst-30889	164	16	4.1	4.1	NUM
ajst-30889	164	17	,	,	PUNCT
ajst-30889	164	18	it	it	PRON
ajst-30889	164	19	can	can	AUX
ajst-30889	164	20	be	be	AUX
ajst-30889	164	21	seen	see	VERB
ajst-30889	164	22	that	that	SCONJ
ajst-30889	164	23	the	the	DET
ajst-30889	164	24	number	number	NOUN
ajst-30889	164	25	of	of	ADP
ajst-30889	164	26	input	input	NOUN
ajst-30889	164	27	neurons	neuron	NOUN
ajst-30889	164	28	of	of	ADP
ajst-30889	164	29	the	the	DET
ajst-30889	164	30	wavelet	wavelet	NOUN
ajst-30889	164	31	neural	neural	ADJ
ajst-30889	164	32	network	network	NOUN
ajst-30889	164	33	is	be	AUX
ajst-30889	164	34	4	4	NUM
ajst-30889	164	35	,	,	PUNCT
ajst-30889	164	36	and	and	CCONJ
ajst-30889	164	37	the	the	DET
ajst-30889	164	38	number	number	NOUN
ajst-30889	164	39	of	of	ADP
ajst-30889	164	40	output	output	NOUN
ajst-30889	164	41	neurons	neuron	NOUN
ajst-30889	164	42	is	be	AUX
ajst-30889	164	43	1.therefore	1.therefore	NUM
ajst-30889	164	44	,	,	PUNCT
ajst-30889	164	45	combined	combine	VERB
ajst-30889	164	46	with	with	ADP
ajst-30889	164	47	the	the	DET
ajst-30889	164	48	empirical	empirical	ADJ
ajst-30889	164	49	formula	formula	NOUN
ajst-30889	164	50	of	of	ADP
ajst-30889	164	51	the	the	DET
ajst-30889	164	52	number	number	NOUN
ajst-30889	164	53	of	of	ADP
ajst-30889	164	54	hidden	hide	VERB
ajst-30889	164	55	layer	layer	NOUN
ajst-30889	164	56	nodes	node	NOUN
ajst-30889	164	57	,	,	PUNCT
ajst-30889	164	58	it	it	PRON
ajst-30889	164	59	can	can	AUX
ajst-30889	164	60	be	be	AUX
ajst-30889	164	61	determined	determine	VERB
ajst-30889	164	62	that	that	SCONJ
ajst-30889	164	63	the	the	DET
ajst-30889	164	64	range	range	NOUN
ajst-30889	164	65	of	of	ADP
ajst-30889	164	66	the	the	DET
ajst-30889	164	67	number	number	NOUN
ajst-30889	164	68	of	of	ADP
ajst-30889	164	69	hidden	hide	VERB
ajst-30889	164	70	layer	layer	NOUN
ajst-30889	164	71	nodes	node	NOUN
ajst-30889	164	72	of	of	ADP
ajst-30889	164	73	the	the	DET
ajst-30889	164	74	wavelet	wavelet	NOUN
ajst-30889	164	75	neural	neural	ADJ
ajst-30889	164	76	network	network	NOUN
ajst-30889	164	77	is	be	AUX
ajst-30889	164	78	3	3	NUM
ajst-30889	164	79	to	to	PART
ajst-30889	164	80	13	13	NUM
ajst-30889	164	81	.	.	PUNCT
ajst-30889	165	1	according	accord	VERB
ajst-30889	165	2	to	to	ADP
ajst-30889	165	3	this	this	DET
ajst-30889	165	4	range	range	NOUN
ajst-30889	165	5	,	,	PUNCT
ajst-30889	165	6	the	the	DET
ajst-30889	165	7	training	training	NOUN
ajst-30889	165	8	experiment	experiment	NOUN
ajst-30889	165	9	method	method	NOUN
ajst-30889	165	10	is	be	AUX
ajst-30889	165	11	used	use	VERB
ajst-30889	165	12	to	to	PART
ajst-30889	165	13	train	train	VERB
ajst-30889	165	14	the	the	DET
ajst-30889	165	15	network	network	NOUN
ajst-30889	165	16	with	with	ADP
ajst-30889	165	17	different	different	ADJ
ajst-30889	165	18	hidden	hide	VERB
ajst-30889	165	19	layer	layer	NOUN
ajst-30889	165	20	nodes	node	NOUN
ajst-30889	165	21	,	,	PUNCT
ajst-30889	165	22	and	and	CCONJ
ajst-30889	165	23	the	the	DET
ajst-30889	165	24	dam	dam	NOUN
ajst-30889	165	25	displacement	displacement	NOUN
ajst-30889	165	26	is	be	AUX
ajst-30889	165	27	predicted	predict	VERB
ajst-30889	165	28	.	.	PUNCT
ajst-30889	166	1	the	the	DET
ajst-30889	166	2	root	root	NOUN
ajst-30889	166	3	mean	mean	VERB
ajst-30889	166	4	square	square	ADJ
ajst-30889	166	5	error	error	NOUN
ajst-30889	166	6	of	of	ADP
ajst-30889	166	7	the	the	DET
ajst-30889	166	8	prediction	prediction	NOUN
ajst-30889	166	9	results	result	NOUN
ajst-30889	166	10	is	be	AUX
ajst-30889	166	11	calculated	calculate	VERB
ajst-30889	166	12	,	,	PUNCT
ajst-30889	166	13	and	and	CCONJ
ajst-30889	166	14	the	the	DET
ajst-30889	166	15	optimal	optimal	ADJ
ajst-30889	166	16	number	number	NOUN
ajst-30889	166	17	of	of	ADP
ajst-30889	166	18	hidden	hide	VERB
ajst-30889	166	19	layer	layer	NOUN
ajst-30889	166	20	nodes	node	NOUN
ajst-30889	166	21	is	be	AUX
ajst-30889	166	22	determined	determine	VERB
ajst-30889	166	23	by	by	ADP
ajst-30889	166	24	comparison	comparison	NOUN
ajst-30889	166	25	.	.	PUNCT
ajst-30889	167	1	the	the	DET
ajst-30889	167	2	root	root	NOUN
ajst-30889	167	3	mean	mean	VERB
ajst-30889	167	4	square	square	ADJ
ajst-30889	167	5	error	error	NOUN
ajst-30889	167	6	of	of	ADP
ajst-30889	167	7	the	the	DET
ajst-30889	167	8	training	training	NOUN
ajst-30889	167	9	and	and	CCONJ
ajst-30889	167	10	test	test	NOUN
ajst-30889	167	11	results	result	NOUN
ajst-30889	167	12	obtained	obtain	VERB
ajst-30889	167	13	from	from	ADP
ajst-30889	167	14	the	the	DET
ajst-30889	167	15	experiment	experiment	NOUN
ajst-30889	167	16	is	be	AUX
ajst-30889	167	17	shown	show	VERB
ajst-30889	167	18	in	in	ADP
ajst-30889	167	19	table	table	NOUN
ajst-30889	167	20	4	4	NUM
ajst-30889	167	21	and	and	CCONJ
ajst-30889	167	22	fig.3	fig.3	PROPN
ajst-30889	167	23	.	.	PROPN
ajst-30889	167	24	table	table	NOUN
ajst-30889	167	25	4	4	NUM
ajst-30889	167	26	.	.	PUNCT
ajst-30889	167	27	root	root	NOUN
ajst-30889	167	28	mean	mean	VERB
ajst-30889	167	29	square	square	ADJ
ajst-30889	167	30	error	error	NOUN
ajst-30889	167	31	of	of	ADP
ajst-30889	167	32	training	training	NOUN
ajst-30889	167	33	and	and	CCONJ
ajst-30889	167	34	test	test	NOUN
ajst-30889	167	35	results	result	NOUN
ajst-30889	167	36	of	of	ADP
ajst-30889	167	37	different	different	ADJ
ajst-30889	167	38	hidden	hide	VERB
ajst-30889	167	39	layer	layer	NOUN
ajst-30889	167	40	nodes	node	NOUN
ajst-30889	167	41	number	number	NOUN
ajst-30889	167	42	of	of	ADP
ajst-30889	167	43	hidden	hide	VERB
ajst-30889	167	44	layer	layer	NOUN
ajst-30889	167	45	nodes	node	NOUN
ajst-30889	167	46	rmse	rmse	ADJ
ajst-30889	167	47	of	of	ADP
ajst-30889	167	48	training	train	VERB
ajst-30889	167	49	results(dm	results(dm	PROPN
ajst-30889	167	50	)	)	PUNCT
ajst-30889	167	51	rmse	rmse	NOUN
ajst-30889	167	52	of	of	ADP
ajst-30889	167	53	test	test	NOUN
ajst-30889	167	54	results(dm	results(dm	PROPN
ajst-30889	167	55	)	)	PUNCT
ajst-30889	167	56	3	3	NUM
ajst-30889	167	57	0.4518	0.4518	NUM
ajst-30889	167	58	0.3481	0.3481	NUM
ajst-30889	168	1	4	4	NUM
ajst-30889	168	2	0.3906	0.3906	NUM
ajst-30889	168	3	0.3149	0.3149	NUM
ajst-30889	168	4	5	5	NUM
ajst-30889	168	5	0.3665	0.3665	NUM
ajst-30889	168	6	0.2662	0.2662	NUM
ajst-30889	168	7	6	6	NUM
ajst-30889	168	8	0.3488	0.3488	NUM
ajst-30889	168	9	0.2874	0.2874	NUM
ajst-30889	168	10	7	7	NUM
ajst-30889	168	11	0.3162	0.3162	NUM
ajst-30889	168	12	0.1932	0.1932	NUM
ajst-30889	168	13	8	8	NUM
ajst-30889	168	14	0.3257	0.3257	NUM
ajst-30889	168	15	0.2169	0.2169	NUM
ajst-30889	168	16	9	9	NUM
ajst-30889	168	17	0.3583	0.3583	NUM
ajst-30889	168	18	0.3494	0.3494	NUM
ajst-30889	168	19	10	10	NUM
ajst-30889	168	20	0.3969	0.3969	NUM
ajst-30889	168	21	0.3377	0.3377	NUM
ajst-30889	168	22	11	11	NUM
ajst-30889	168	23	0.3274	0.3274	NUM
ajst-30889	168	24	0.3524	0.3524	NUM
ajst-30889	168	25	12	12	NUM
ajst-30889	168	26	0.3683	0.3683	NUM
ajst-30889	168	27	0.3611	0.3611	NUM
ajst-30889	168	28	13	13	NUM
ajst-30889	169	1	0.3674	0.3674	NUM
ajst-30889	169	2	0.3997	0.3997	NUM
ajst-30889	169	3	81	81	NUM
ajst-30889	169	4	figure	figure	NOUN
ajst-30889	169	5	3	3	NUM
ajst-30889	169	6	.	.	PUNCT
ajst-30889	169	7	root	root	NOUN
ajst-30889	169	8	mean	mean	VERB
ajst-30889	169	9	square	square	ADJ
ajst-30889	169	10	error	error	NOUN
ajst-30889	169	11	of	of	ADP
ajst-30889	169	12	training	training	NOUN
ajst-30889	169	13	and	and	CCONJ
ajst-30889	169	14	test	test	NOUN
ajst-30889	169	15	results	result	NOUN
ajst-30889	169	16	of	of	ADP
ajst-30889	169	17	different	different	ADJ
ajst-30889	169	18	hidden	hide	VERB
ajst-30889	169	19	neuron	neuron	NOUN
ajst-30889	169	20	nodes	node	NOUN
ajst-30889	169	21	from	from	ADP
ajst-30889	169	22	the	the	DET
ajst-30889	169	23	experimental	experimental	ADJ
ajst-30889	169	24	results	result	NOUN
ajst-30889	169	25	,	,	PUNCT
ajst-30889	169	26	it	it	PRON
ajst-30889	169	27	can	can	AUX
ajst-30889	169	28	be	be	AUX
ajst-30889	169	29	known	know	VERB
ajst-30889	169	30	that	that	SCONJ
ajst-30889	169	31	when	when	SCONJ
ajst-30889	169	32	the	the	DET
ajst-30889	169	33	number	number	NOUN
ajst-30889	169	34	of	of	ADP
ajst-30889	169	35	hidden	hide	VERB
ajst-30889	169	36	layer	layer	NOUN
ajst-30889	169	37	nodes	node	NOUN
ajst-30889	169	38	is	be	AUX
ajst-30889	169	39	7	7	NUM
ajst-30889	169	40	,	,	PUNCT
ajst-30889	169	41	the	the	DET
ajst-30889	169	42	root	root	NOUN
ajst-30889	169	43	mean	mean	VERB
ajst-30889	169	44	square	square	ADJ
ajst-30889	169	45	error	error	NOUN
ajst-30889	169	46	of	of	ADP
ajst-30889	169	47	the	the	DET
ajst-30889	169	48	training	training	NOUN
ajst-30889	169	49	results	result	NOUN
ajst-30889	169	50	is	be	AUX
ajst-30889	169	51	0.3162	0.3162	NUM
ajst-30889	169	52	dm	dm	NOUN
ajst-30889	169	53	,	,	PUNCT
ajst-30889	169	54	and	and	CCONJ
ajst-30889	169	55	the	the	DET
ajst-30889	169	56	root	root	NOUN
ajst-30889	169	57	mean	mean	VERB
ajst-30889	169	58	square	square	ADJ
ajst-30889	169	59	error	error	NOUN
ajst-30889	169	60	of	of	ADP
ajst-30889	169	61	the	the	DET
ajst-30889	169	62	test	test	NOUN
ajst-30889	169	63	results	result	NOUN
ajst-30889	169	64	is	be	AUX
ajst-30889	169	65	0.1932	0.1932	NUM
ajst-30889	169	66	dm	dm	NOUN
ajst-30889	169	67	,	,	PUNCT
ajst-30889	169	68	which	which	PRON
ajst-30889	169	69	is	be	AUX
ajst-30889	169	70	the	the	DET
ajst-30889	169	71	smallest	small	ADJ
ajst-30889	169	72	relative	relative	NOUN
ajst-30889	169	73	to	to	ADP
ajst-30889	169	74	the	the	DET
ajst-30889	169	75	number	number	NOUN
ajst-30889	169	76	of	of	ADP
ajst-30889	169	77	other	other	ADJ
ajst-30889	169	78	hidden	hide	VERB
ajst-30889	169	79	layer	layer	NOUN
ajst-30889	169	80	nodes	node	NOUN
ajst-30889	169	81	.	.	PUNCT
ajst-30889	170	1	it	it	PRON
ajst-30889	170	2	shows	show	VERB
ajst-30889	170	3	that	that	SCONJ
ajst-30889	170	4	the	the	DET
ajst-30889	170	5	training	training	NOUN
ajst-30889	170	6	effect	effect	NOUN
ajst-30889	170	7	of	of	ADP
ajst-30889	170	8	the	the	DET
ajst-30889	170	9	network	network	NOUN
ajst-30889	170	10	with	with	ADP
ajst-30889	170	11	7	7	NUM
ajst-30889	170	12	hidden	hide	VERB
ajst-30889	170	13	layer	layer	NOUN
ajst-30889	170	14	nodes	node	NOUN
ajst-30889	170	15	is	be	AUX
ajst-30889	170	16	relatively	relatively	ADV
ajst-30889	170	17	good	good	ADJ
ajst-30889	170	18	and	and	CCONJ
ajst-30889	170	19	the	the	DET
ajst-30889	170	20	prediction	prediction	NOUN
ajst-30889	170	21	accuracy	accuracy	NOUN
ajst-30889	170	22	is	be	AUX
ajst-30889	170	23	high	high	ADJ
ajst-30889	170	24	.	.	PUNCT
ajst-30889	171	1	therefore	therefore	ADV
ajst-30889	171	2	,	,	PUNCT
ajst-30889	171	3	in	in	ADP
ajst-30889	171	4	this	this	DET
ajst-30889	171	5	paper	paper	NOUN
ajst-30889	171	6	,	,	PUNCT
ajst-30889	171	7	the	the	DET
ajst-30889	171	8	number	number	NOUN
ajst-30889	171	9	of	of	ADP
ajst-30889	171	10	hidden	hide	VERB
ajst-30889	171	11	layer	layer	NOUN
ajst-30889	171	12	nodes	node	NOUN
ajst-30889	171	13	of	of	ADP
ajst-30889	171	14	wavelet	wavelet	NOUN
ajst-30889	171	15	neural	neural	ADJ
ajst-30889	171	16	network	network	NOUN
ajst-30889	171	17	is	be	AUX
ajst-30889	171	18	determined	determine	VERB
ajst-30889	171	19	to	to	PART
ajst-30889	171	20	be	be	AUX
ajst-30889	171	21	7	7	NUM
ajst-30889	171	22	,	,	PUNCT
ajst-30889	171	23	and	and	CCONJ
ajst-30889	171	24	the	the	DET
ajst-30889	171	25	network	network	NOUN
ajst-30889	171	26	neuron	neuron	NOUN
ajst-30889	171	27	structure	structure	NOUN
ajst-30889	171	28	is	be	AUX
ajst-30889	171	29	established	establish	VERB
ajst-30889	171	30	as	as	ADP
ajst-30889	171	31	4	4	NUM
ajst-30889	171	32	-	-	SYM
ajst-30889	171	33	7	7	NUM
ajst-30889	171	34	-	-	SYM
ajst-30889	171	35	1	1	NUM
ajst-30889	171	36	.	.	X
ajst-30889	172	1	5.3	5.3	NUM
ajst-30889	172	2	.	.	PUNCT
ajst-30889	173	1	analysis	analysis	NOUN
ajst-30889	173	2	of	of	ADP
ajst-30889	173	3	prediction	prediction	NOUN
ajst-30889	173	4	results	result	VERB
ajst-30889	173	5	the	the	DET
ajst-30889	173	6	training	training	NOUN
ajst-30889	173	7	and	and	CCONJ
ajst-30889	173	8	test	test	NOUN
ajst-30889	173	9	results	result	NOUN
ajst-30889	173	10	of	of	ADP
ajst-30889	173	11	the	the	DET
ajst-30889	173	12	established	establish	VERB
ajst-30889	173	13	wavelet	wavelet	NOUN
ajst-30889	173	14	neural	neural	ADJ
ajst-30889	173	15	network	network	NOUN
ajst-30889	173	16	prediction	prediction	NOUN
ajst-30889	173	17	model	model	NOUN
ajst-30889	173	18	and	and	CCONJ
ajst-30889	173	19	the	the	DET
ajst-30889	173	20	bp	bp	PROPN
ajst-30889	173	21	neural	neural	ADJ
ajst-30889	173	22	network	network	NOUN
ajst-30889	173	23	training	training	NOUN
ajst-30889	173	24	and	and	CCONJ
ajst-30889	173	25	test	test	NOUN
ajst-30889	173	26	results	result	NOUN
ajst-30889	173	27	are	be	AUX
ajst-30889	173	28	compared	compare	VERB
ajst-30889	173	29	with	with	ADP
ajst-30889	173	30	the	the	DET
ajst-30889	173	31	measured	measure	VERB
ajst-30889	173	32	values	value	NOUN
ajst-30889	173	33	.	.	PUNCT
ajst-30889	174	1	so	so	ADV
ajst-30889	174	2	as	as	SCONJ
ajst-30889	174	3	to	to	PART
ajst-30889	174	4	explore	explore	VERB
ajst-30889	174	5	the	the	DET
ajst-30889	174	6	feasibility	feasibility	NOUN
ajst-30889	174	7	of	of	ADP
ajst-30889	174	8	wavelet	wavelet	NOUN
ajst-30889	174	9	neural	neural	ADJ
ajst-30889	174	10	network	network	NOUN
ajst-30889	174	11	in	in	ADP
ajst-30889	174	12	dam	dam	NOUN
ajst-30889	174	13	deformation	deformation	NOUN
ajst-30889	174	14	prediction	prediction	NOUN
ajst-30889	174	15	.	.	PUNCT
ajst-30889	175	1	the	the	DET
ajst-30889	175	2	comparison	comparison	NOUN
ajst-30889	175	3	results	result	NOUN
ajst-30889	175	4	are	be	AUX
ajst-30889	175	5	shown	show	VERB
ajst-30889	175	6	in	in	ADP
ajst-30889	175	7	fig.4	fig.4	PROPN
ajst-30889	175	8	,	,	PUNCT
ajst-30889	175	9	fig.5	fig.5	NOUN
ajst-30889	175	10	and	and	CCONJ
ajst-30889	175	11	table	table	NOUN
ajst-30889	175	12	5	5	NUM
ajst-30889	175	13	.	.	PUNCT
ajst-30889	176	1	figure	figure	VERB
ajst-30889	176	2	4	4	NUM
ajst-30889	176	3	.	.	PUNCT
ajst-30889	176	4	residual	residual	ADJ
ajst-30889	176	5	comparison	comparison	NOUN
ajst-30889	176	6	diagram	diagram	NOUN
ajst-30889	176	7	figure	figure	NOUN
ajst-30889	176	8	5	5	NUM
ajst-30889	176	9	.	.	PUNCT
ajst-30889	176	10	comparison	comparison	NOUN
ajst-30889	176	11	of	of	ADP
ajst-30889	176	12	prediction	prediction	NOUN
ajst-30889	176	13	results	result	VERB
ajst-30889	176	14	82	82	NUM
ajst-30889	176	15	table	table	NOUN
ajst-30889	176	16	5	5	NUM
ajst-30889	176	17	.	.	PUNCT
ajst-30889	176	18	comparison	comparison	NOUN
ajst-30889	176	19	of	of	ADP
ajst-30889	176	20	evaluation	evaluation	NOUN
ajst-30889	176	21	indexes	index	NOUN
ajst-30889	176	22	evaluating	evaluate	VERB
ajst-30889	176	23	indicator	indicator	NOUN
ajst-30889	176	24	wnn	wnn	NOUN
ajst-30889	176	25	training	training	NOUN
ajst-30889	176	26	error	error	NOUN
ajst-30889	176	27	wnn	wnn	NOUN
ajst-30889	176	28	test	test	NOUN
ajst-30889	176	29	error	error	NOUN
ajst-30889	176	30	bp	bp	PROPN
ajst-30889	176	31	training	training	NOUN
ajst-30889	176	32	error	error	NOUN
ajst-30889	176	33	bp	bp	PROPN
ajst-30889	176	34	test	test	NOUN
ajst-30889	176	35	error	error	NOUN
ajst-30889	176	36	rmse	rmse	NOUN
ajst-30889	176	37	(	(	PUNCT
ajst-30889	176	38	dm	dm	PROPN
ajst-30889	176	39	)	)	PUNCT
ajst-30889	176	40	0.3162	0.3162	NUM
ajst-30889	176	41	0.1932	0.1932	NUM
ajst-30889	176	42	0.7162	0.7162	NUM
ajst-30889	176	43	0.8024	0.8024	NUM
ajst-30889	176	44	mae	mae	PROPN
ajst-30889	176	45	(	(	PUNCT
ajst-30889	176	46	dm	dm	PROPN
ajst-30889	176	47	)	)	PUNCT
ajst-30889	176	48	0.2554	0.2554	NUM
ajst-30889	177	1	0.1398	0.1398	NUM
ajst-30889	177	2	0.5552	0.5552	NUM
ajst-30889	177	3	0.5838	0.5838	NUM
ajst-30889	177	4	mape	mape	NOUN
ajst-30889	177	5	0.5795	0.5795	NUM
ajst-30889	177	6	%	%	NOUN
ajst-30889	177	7	0.16	0.16	NUM
ajst-30889	177	8	%	%	NOUN
ajst-30889	177	9	1.321	1.321	NUM
ajst-30889	177	10	%	%	NOUN
ajst-30889	177	11	0.764	0.764	NUM
ajst-30889	177	12	%	%	NOUN
ajst-30889	177	13	first	first	ADV
ajst-30889	177	14	of	of	ADP
ajst-30889	177	15	all	all	PRON
ajst-30889	177	16	,	,	PUNCT
ajst-30889	177	17	it	it	PRON
ajst-30889	177	18	can	can	AUX
ajst-30889	177	19	be	be	AUX
ajst-30889	177	20	seen	see	VERB
ajst-30889	177	21	from	from	ADP
ajst-30889	177	22	fig.4	fig.4	PROPN
ajst-30889	177	23	that	that	SCONJ
ajst-30889	177	24	the	the	DET
ajst-30889	177	25	residual	residual	ADJ
ajst-30889	177	26	values	value	NOUN
ajst-30889	177	27	of	of	ADP
ajst-30889	177	28	wavelet	wavelet	NOUN
ajst-30889	177	29	neural	neural	ADJ
ajst-30889	177	30	network	network	NOUN
ajst-30889	177	31	training	training	NOUN
ajst-30889	177	32	and	and	CCONJ
ajst-30889	177	33	test	test	NOUN
ajst-30889	177	34	results	result	NOUN
ajst-30889	177	35	are	be	AUX
ajst-30889	177	36	generally	generally	ADV
ajst-30889	177	37	smaller	small	ADJ
ajst-30889	177	38	than	than	ADP
ajst-30889	177	39	those	those	PRON
ajst-30889	177	40	of	of	ADP
ajst-30889	177	41	bp	bp	PROPN
ajst-30889	177	42	neural	neural	ADJ
ajst-30889	177	43	network	network	NOUN
ajst-30889	177	44	.	.	PUNCT
ajst-30889	178	1	then	then	ADV
ajst-30889	178	2	,	,	PUNCT
ajst-30889	178	3	it	it	PRON
ajst-30889	178	4	can	can	AUX
ajst-30889	178	5	be	be	AUX
ajst-30889	178	6	seen	see	VERB
ajst-30889	178	7	from	from	ADP
ajst-30889	178	8	fig.5	fig.5	NOUN
ajst-30889	178	9	that	that	SCONJ
ajst-30889	178	10	the	the	DET
ajst-30889	178	11	wavelet	wavelet	NOUN
ajst-30889	178	12	neural	neural	PROPN
ajst-30889	178	13	network	network	NOUN
ajst-30889	178	14	prediction	prediction	NOUN
ajst-30889	178	15	results	result	NOUN
ajst-30889	178	16	have	have	AUX
ajst-30889	178	17	a	a	DET
ajst-30889	178	18	higher	high	ADJ
ajst-30889	178	19	degree	degree	NOUN
ajst-30889	178	20	of	of	ADP
ajst-30889	178	21	fitting	fit	VERB
ajst-30889	178	22	with	with	ADP
ajst-30889	178	23	the	the	DET
ajst-30889	178	24	measured	measure	VERB
ajst-30889	178	25	values	value	NOUN
ajst-30889	178	26	.	.	PUNCT
ajst-30889	179	1	finally	finally	ADV
ajst-30889	179	2	,	,	PUNCT
ajst-30889	179	3	according	accord	VERB
ajst-30889	179	4	to	to	ADP
ajst-30889	179	5	the	the	DET
ajst-30889	179	6	evaluation	evaluation	NOUN
ajst-30889	179	7	index	index	NOUN
ajst-30889	179	8	of	of	ADP
ajst-30889	179	9	table	table	NOUN
ajst-30889	179	10	5	5	NUM
ajst-30889	179	11	,	,	PUNCT
ajst-30889	179	12	the	the	DET
ajst-30889	179	13	rmse	rmse	NOUN
ajst-30889	179	14	,	,	PUNCT
ajst-30889	179	15	mae	mae	PROPN
ajst-30889	179	16	and	and	CCONJ
ajst-30889	179	17	mape	mape	NOUN
ajst-30889	179	18	of	of	ADP
ajst-30889	179	19	wavelet	wavelet	NOUN
ajst-30889	179	20	neural	neural	ADJ
ajst-30889	179	21	network	network	NOUN
ajst-30889	179	22	training	training	NOUN
ajst-30889	179	23	results	result	NOUN
ajst-30889	179	24	are	be	AUX
ajst-30889	179	25	reduced	reduce	VERB
ajst-30889	179	26	by	by	ADP
ajst-30889	179	27	0.4	0.4	NUM
ajst-30889	179	28	dm,0.2998	dm,0.2998	NOUN
ajst-30889	180	1	dm	dm	INTJ
ajst-30889	181	1	and	and	CCONJ
ajst-30889	181	2	0.7415	0.7415	NUM
ajst-30889	181	3	%	%	NOUN
ajst-30889	181	4	respectively	respectively	ADV
ajst-30889	181	5	compared	compare	VERB
ajst-30889	181	6	with	with	ADP
ajst-30889	181	7	bp	bp	PROPN
ajst-30889	181	8	neural	neural	ADJ
ajst-30889	181	9	network	network	NOUN
ajst-30889	181	10	.	.	PUNCT
ajst-30889	182	1	the	the	DET
ajst-30889	182	2	rmse	rmse	NOUN
ajst-30889	182	3	,	,	PUNCT
ajst-30889	182	4	mae	mae	PROPN
ajst-30889	182	5	and	and	CCONJ
ajst-30889	182	6	mape	mape	NOUN
ajst-30889	182	7	of	of	ADP
ajst-30889	182	8	the	the	DET
ajst-30889	182	9	test	test	NOUN
ajst-30889	182	10	results	result	NOUN
ajst-30889	182	11	are	be	AUX
ajst-30889	182	12	reduced	reduce	VERB
ajst-30889	182	13	by	by	ADP
ajst-30889	182	14	0.6092	0.6092	NUM
ajst-30889	182	15	dm,0.444	dm,0.444	NOUN
ajst-30889	182	16	dm	dm	NOUN
ajst-30889	182	17	and	and	CCONJ
ajst-30889	182	18	0.604	0.604	NUM
ajst-30889	182	19	%	%	NOUN
ajst-30889	182	20	respectively	respectively	ADV
ajst-30889	182	21	compared	compare	VERB
ajst-30889	182	22	with	with	ADP
ajst-30889	182	23	bp	bp	PROPN
ajst-30889	182	24	neural	neural	ADJ
ajst-30889	182	25	network	network	NOUN
ajst-30889	182	26	.	.	PUNCT
ajst-30889	183	1	therefore	therefore	ADV
ajst-30889	183	2	,	,	PUNCT
ajst-30889	183	3	combined	combine	VERB
ajst-30889	183	4	with	with	ADP
ajst-30889	183	5	the	the	DET
ajst-30889	183	6	above	above	NOUN
ajst-30889	183	7	,	,	PUNCT
ajst-30889	183	8	the	the	DET
ajst-30889	183	9	wavelet	wavelet	NOUN
ajst-30889	183	10	neural	neural	PROPN
ajst-30889	183	11	network	network	NOUN
ajst-30889	183	12	has	have	AUX
ajst-30889	183	13	better	well	ADV
ajst-30889	183	14	learning	learn	VERB
ajst-30889	183	15	ability	ability	NOUN
ajst-30889	183	16	,	,	PUNCT
ajst-30889	183	17	stronger	strong	ADJ
ajst-30889	183	18	approximation	approximation	NOUN
ajst-30889	183	19	ability	ability	NOUN
ajst-30889	183	20	and	and	CCONJ
ajst-30889	183	21	higher	high	ADJ
ajst-30889	183	22	prediction	prediction	NOUN
ajst-30889	183	23	accuracy	accuracy	NOUN
ajst-30889	183	24	than	than	ADP
ajst-30889	183	25	the	the	DET
ajst-30889	183	26	bp	bp	PROPN
ajst-30889	183	27	neural	neural	ADJ
ajst-30889	183	28	network	network	NOUN
ajst-30889	183	29	,	,	PUNCT
ajst-30889	183	30	which	which	PRON
ajst-30889	183	31	shows	show	VERB
ajst-30889	183	32	that	that	SCONJ
ajst-30889	183	33	the	the	DET
ajst-30889	183	34	wavelet	wavelet	NOUN
ajst-30889	183	35	neural	neural	PROPN
ajst-30889	183	36	network	network	NOUN
ajst-30889	183	37	has	have	VERB
ajst-30889	183	38	a	a	DET
ajst-30889	183	39	better	well	ADJ
ajst-30889	183	40	effect	effect	NOUN
ajst-30889	183	41	in	in	ADP
ajst-30889	183	42	dam	dam	NOUN
ajst-30889	183	43	deformation	deformation	NOUN
ajst-30889	183	44	prediction	prediction	NOUN
ajst-30889	183	45	.	.	PUNCT
ajst-30889	184	1	6	6	X
ajst-30889	184	2	.	.	X
ajst-30889	184	3	conclusion	conclusion	NOUN
ajst-30889	184	4	this	this	DET
ajst-30889	184	5	paper	paper	NOUN
ajst-30889	184	6	takes	take	VERB
ajst-30889	184	7	xiaolangdi	xiaolangdi	PROPN
ajst-30889	184	8	dam	dam	PROPN
ajst-30889	184	9	in	in	ADP
ajst-30889	184	10	henan	henan	PROPN
ajst-30889	184	11	province	province	PROPN
ajst-30889	184	12	as	as	ADP
ajst-30889	184	13	the	the	DET
ajst-30889	184	14	research	research	NOUN
ajst-30889	184	15	object	object	NOUN
ajst-30889	184	16	,	,	PUNCT
ajst-30889	184	17	and	and	CCONJ
ajst-30889	184	18	determines	determine	VERB
ajst-30889	184	19	the	the	DET
ajst-30889	184	20	main	main	ADJ
ajst-30889	184	21	influencing	influence	VERB
ajst-30889	184	22	factors	factor	NOUN
ajst-30889	184	23	of	of	ADP
ajst-30889	184	24	dam	dam	NOUN
ajst-30889	184	25	deformation	deformation	NOUN
ajst-30889	184	26	through	through	ADP
ajst-30889	184	27	spearman	spearman	NOUN
ajst-30889	184	28	correlation	correlation	NOUN
ajst-30889	184	29	analysis	analysis	NOUN
ajst-30889	184	30	.	.	PUNCT
ajst-30889	185	1	the	the	DET
ajst-30889	185	2	wavelet	wavelet	NOUN
ajst-30889	185	3	neural	neural	PROPN
ajst-30889	185	4	network	network	NOUN
ajst-30889	185	5	is	be	AUX
ajst-30889	185	6	constructed	construct	VERB
ajst-30889	185	7	,	,	PUNCT
ajst-30889	185	8	and	and	CCONJ
ajst-30889	185	9	the	the	DET
ajst-30889	185	10	dam	dam	NOUN
ajst-30889	185	11	deformation	deformation	NOUN
ajst-30889	185	12	prediction	prediction	NOUN
ajst-30889	185	13	is	be	AUX
ajst-30889	185	14	realized	realize	VERB
ajst-30889	185	15	by	by	ADP
ajst-30889	185	16	combining	combine	VERB
ajst-30889	185	17	the	the	DET
ajst-30889	185	18	main	main	ADJ
ajst-30889	185	19	influencing	influence	VERB
ajst-30889	185	20	factors	factor	NOUN
ajst-30889	185	21	.	.	PUNCT
ajst-30889	186	1	the	the	DET
ajst-30889	186	2	main	main	ADJ
ajst-30889	186	3	conclusions	conclusion	NOUN
ajst-30889	186	4	are	be	AUX
ajst-30889	186	5	as	as	SCONJ
ajst-30889	186	6	follows	follow	VERB
ajst-30889	186	7	:	:	PUNCT
ajst-30889	186	8	(	(	PUNCT
ajst-30889	186	9	1	1	X
ajst-30889	186	10	)	)	PUNCT
ajst-30889	186	11	by	by	ADP
ajst-30889	186	12	calculating	calculate	VERB
ajst-30889	186	13	the	the	DET
ajst-30889	186	14	spearman	spearman	NOUN
ajst-30889	186	15	correlation	correlation	NOUN
ajst-30889	186	16	coefficient	coefficient	NOUN
ajst-30889	186	17	between	between	ADP
ajst-30889	186	18	the	the	DET
ajst-30889	186	19	15	15	NUM
ajst-30889	186	20	influence	influence	NOUN
ajst-30889	186	21	factors	factor	NOUN
ajst-30889	186	22	and	and	CCONJ
ajst-30889	186	23	the	the	DET
ajst-30889	186	24	dam	dam	NOUN
ajst-30889	186	25	displacement	displacement	NOUN
ajst-30889	186	26	,	,	PUNCT
ajst-30889	186	27	the	the	DET
ajst-30889	186	28	principal	principal	ADJ
ajst-30889	186	29	component	component	NOUN
ajst-30889	186	30	factors	factor	NOUN
ajst-30889	186	31	affecting	affect	VERB
ajst-30889	186	32	the	the	DET
ajst-30889	186	33	dam	dam	NOUN
ajst-30889	186	34	deformation	deformation	NOUN
ajst-30889	186	35	are	be	AUX
ajst-30889	186	36	determined	determine	VERB
ajst-30889	186	37	to	to	PART
ajst-30889	186	38	be	be	AUX
ajst-30889	186	39	t0	t0	PROPN
ajst-30889	186	40	,	,	PUNCT
ajst-30889	186	41	sint	sint	NOUN
ajst-30889	186	42	,	,	PUNCT
ajst-30889	186	43	cost	cost	NOUN
ajst-30889	186	44	,	,	PUNCT
ajst-30889	186	45	h	h	NOUN
ajst-30889	186	46	,	,	PUNCT
ajst-30889	186	47	respectively	respectively	ADV
ajst-30889	186	48	.	.	PUNCT
ajst-30889	187	1	(	(	PUNCT
ajst-30889	187	2	2	2	X
ajst-30889	187	3	)	)	PUNCT
ajst-30889	187	4	a	a	DET
ajst-30889	187	5	wavelet	wavelet	NOUN
ajst-30889	187	6	neural	neural	ADJ
ajst-30889	187	7	network	network	NOUN
ajst-30889	187	8	model	model	NOUN
ajst-30889	187	9	considering	consider	VERB
ajst-30889	187	10	multiple	multiple	ADJ
ajst-30889	187	11	influencing	influence	VERB
ajst-30889	187	12	factors	factor	NOUN
ajst-30889	187	13	is	be	AUX
ajst-30889	187	14	constructed	construct	VERB
ajst-30889	187	15	.	.	PUNCT
ajst-30889	188	1	the	the	DET
ajst-30889	188	2	optimal	optimal	ADJ
ajst-30889	188	3	wavelet	wavelet	NOUN
ajst-30889	188	4	function	function	NOUN
ajst-30889	188	5	and	and	CCONJ
ajst-30889	188	6	the	the	DET
ajst-30889	188	7	optimal	optimal	ADJ
ajst-30889	188	8	number	number	NOUN
ajst-30889	188	9	of	of	ADP
ajst-30889	188	10	neuron	neuron	NOUN
ajst-30889	188	11	nodes	node	NOUN
ajst-30889	188	12	of	of	ADP
ajst-30889	188	13	the	the	DET
ajst-30889	188	14	model	model	NOUN
ajst-30889	188	15	are	be	AUX
ajst-30889	188	16	determined	determine	VERB
ajst-30889	188	17	.	.	PUNCT
ajst-30889	189	1	combined	combine	VERB
ajst-30889	189	2	with	with	ADP
ajst-30889	189	3	the	the	DET
ajst-30889	189	4	main	main	ADJ
ajst-30889	189	5	influencing	influence	VERB
ajst-30889	189	6	factors	factor	NOUN
ajst-30889	189	7	of	of	ADP
ajst-30889	189	8	dam	dam	NOUN
ajst-30889	189	9	deformation	deformation	NOUN
ajst-30889	189	10	,	,	PUNCT
ajst-30889	189	11	the	the	DET
ajst-30889	189	12	dam	dam	NOUN
ajst-30889	189	13	deformation	deformation	NOUN
ajst-30889	189	14	prediction	prediction	NOUN
ajst-30889	189	15	is	be	AUX
ajst-30889	189	16	realized	realize	VERB
ajst-30889	189	17	.	.	PUNCT
ajst-30889	190	1	by	by	ADP
ajst-30889	190	2	comparing	compare	VERB
ajst-30889	190	3	the	the	DET
ajst-30889	190	4	prediction	prediction	NOUN
ajst-30889	190	5	results	result	NOUN
ajst-30889	190	6	of	of	ADP
ajst-30889	190	7	bp	bp	PROPN
ajst-30889	190	8	neural	neural	ADJ
ajst-30889	190	9	network	network	NOUN
ajst-30889	190	10	,	,	PUNCT
ajst-30889	190	11	the	the	DET
ajst-30889	190	12	prediction	prediction	NOUN
ajst-30889	190	13	accuracy	accuracy	NOUN
ajst-30889	190	14	of	of	ADP
ajst-30889	190	15	this	this	DET
ajst-30889	190	16	model	model	NOUN
ajst-30889	190	17	is	be	AUX
ajst-30889	190	18	higher	high	ADJ
ajst-30889	190	19	,	,	PUNCT
ajst-30889	190	20	which	which	PRON
ajst-30889	190	21	proves	prove	VERB
ajst-30889	190	22	the	the	DET
ajst-30889	190	23	superiority	superiority	NOUN
ajst-30889	190	24	of	of	ADP
ajst-30889	190	25	the	the	DET
ajst-30889	190	26	model	model	NOUN
ajst-30889	190	27	.	.	PUNCT
ajst-30889	191	1	,	,	PUNCT
ajst-30889	191	2	2015,1	2015,1	NUM
ajst-30889	191	3	-	-	SYM
ajst-30889	191	4	10	10	NUM
ajst-30889	191	5	references	reference	NOUN
ajst-30889	191	6	[	[	X
ajst-30889	191	7	1	1	NUM
ajst-30889	191	8	]	]	X
ajst-30889	191	9	dong	dong	PROPN
ajst-30889	191	10	xiaoning	xiaoning	PROPN
ajst-30889	191	11	,	,	PUNCT
ajst-30889	191	12	wang	wang	PROPN
ajst-30889	191	13	yonggang	yonggang	PROPN
ajst-30889	191	14	,	,	PUNCT
ajst-30889	191	15	bai	bai	PROPN
ajst-30889	191	16	yu	yu	PROPN
ajst-30889	191	17	,	,	PUNCT
ajst-30889	191	18	et	et	PROPN
ajst-30889	191	19	al	al	PROPN
ajst-30889	191	20	.	.	PUNCT
ajst-30889	192	1	deformation	deformation	NOUN
ajst-30889	192	2	prediction	prediction	NOUN
ajst-30889	192	3	method	method	NOUN
ajst-30889	192	4	and	and	CCONJ
ajst-30889	192	5	application	application	NOUN
ajst-30889	192	6	of	of	ADP
ajst-30889	192	7	concrete	concrete	ADJ
ajst-30889	192	8	gravity	gravity	NOUN
ajst-30889	192	9	dam	dam	NOUN
ajst-30889	192	10	based	base	VERB
ajst-30889	192	11	on	on	ADP
ajst-30889	192	12	inception	inception	NOUN
ajst-30889	192	13	-	-	PUNCT
ajst-30889	192	14	gru[j	gru[j	NOUN
ajst-30889	192	15	/	/	SYM
ajst-30889	192	16	ol	ol	PROPN
ajst-30889	192	17	]	]	PUNCT
ajst-30889	192	18	.	.	PUNCT
ajst-30889	193	1	south	south	PROPN
ajst-30889	193	2	-	-	PUNCT
ajst-30889	193	3	to	to	ADP
ajst-30889	193	4	-	-	PUNCT
ajst-30889	193	5	north	north	NOUN
ajst-30889	193	6	water	water	NOUN
ajst-30889	193	7	transfers	transfer	NOUN
ajst-30889	193	8	and	and	CCONJ
ajst-30889	193	9	water	water	NOUN
ajst-30889	193	10	science	science	PROPN
ajst-30889	193	11	&	&	CCONJ
ajst-30889	193	12	technology	technology	PROPN
ajst-30889	193	13	,	,	PUNCT
ajst-30889	193	14	2015:1	2015:1	NUM
ajst-30889	193	15	-	-	SYM
ajst-30889	193	16	10	10	NUM
ajst-30889	193	17	.	.	PUNCT
ajst-30889	194	1	[	[	X
ajst-30889	194	2	2	2	NUM
ajst-30889	194	3	]	]	PUNCT
ajst-30889	194	4	salazar	salazar	NOUN
ajst-30889	194	5	fernando，toledo	fernando，toledo	PROPN
ajst-30889	194	6	miguel	miguel	PROPN
ajst-30889	194	7	á，oñate	á，oñate	PROPN
ajst-30889	194	8	eugenio，et	eugenio，et	PROPN
ajst-30889	194	9	al	al	PROPN
ajst-30889	194	10	.	.	PROPN
ajst-30889	194	11	interpretation	interpretation	NOUN
ajst-30889	194	12	of	of	ADP
ajst-30889	194	13	dam	dam	NOUN
ajst-30889	194	14	deformation	deformation	NOUN
ajst-30889	194	15	and	and	CCONJ
ajst-30889	194	16	leakage	leakage	NOUN
ajst-30889	194	17	with	with	ADP
ajst-30889	194	18	boosted	boosted	ADJ
ajst-30889	194	19	regression	regression	NOUN
ajst-30889	194	20	trees[j	trees[j	PROPN
ajst-30889	194	21	]	]	PUNCT
ajst-30889	194	22	.	.	PUNCT
ajst-30889	195	1	engineering	engineering	NOUN
ajst-30889	195	2	structures	structure	NOUN
ajst-30889	195	3	,	,	PUNCT
ajst-30889	195	4	2016	2016	NUM
ajst-30889	195	5	,	,	PUNCT
ajst-30889	195	6	100(119	100(119	NUM
ajst-30889	195	7	):	):	PUNCT
ajst-30889	195	8	230	230	NUM
ajst-30889	195	9	-	-	SYM
ajst-30889	195	10	251	251	NUM
ajst-30889	195	11	.	.	PUNCT
ajst-30889	196	1	[	[	X
ajst-30889	196	2	3	3	X
ajst-30889	196	3	]	]	PUNCT
ajst-30889	196	4	xing	xing	PROPN
ajst-30889	196	5	yin	yin	PROPN
ajst-30889	196	6	,	,	PUNCT
ajst-30889	196	7	chen	chen	PROPN
ajst-30889	196	8	chuang	chuang	PROPN
ajst-30889	196	9	,	,	PUNCT
ajst-30889	196	10	liu	liu	PROPN
ajst-30889	196	11	lilong	lilong	PROPN
ajst-30889	196	12	,	,	PUNCT
ajst-30889	196	13	et	et	PROPN
ajst-30889	196	14	al	al	PROPN
ajst-30889	196	15	.	.	PROPN
ajst-30889	196	16	dam	dam	PROPN
ajst-30889	196	17	deformation	deformation	NOUN
ajst-30889	196	18	prediction	prediction	NOUN
ajst-30889	196	19	based	base	VERB
ajst-30889	196	20	on	on	ADP
ajst-30889	196	21	improved	improve	VERB
ajst-30889	196	22	genetic	genetic	ADJ
ajst-30889	196	23	algorithm	algorithm	NOUN
ajst-30889	196	24	and	and	CCONJ
ajst-30889	196	25	bp	bp	PROPN
ajst-30889	196	26	neural	neural	PROPN
ajst-30889	196	27	network[j	network[j	PROPN
ajst-30889	196	28	]	]	PUNCT
ajst-30889	196	29	.	.	PUNCT
ajst-30889	197	1	computer	computer	NOUN
ajst-30889	197	2	engineering	engineering	NOUN
ajst-30889	197	3	and	and	CCONJ
ajst-30889	197	4	design	design	NOUN
ajst-30889	197	5	,	,	PUNCT
ajst-30889	197	6	2018	2018	NUM
ajst-30889	197	7	,	,	PUNCT
ajst-30889	197	8	39(08	39(08	NUM
ajst-30889	197	9	):	):	PUNCT
ajst-30889	197	10	2628	2628	NUM
ajst-30889	197	11	-	-	SYM
ajst-30889	197	12	2631	2631	NUM
ajst-30889	197	13	.	.	PUNCT
ajst-30889	198	1	[	[	X
ajst-30889	198	2	4	4	X
ajst-30889	198	3	]	]	X
ajst-30889	198	4	liu	liu	PROPN
ajst-30889	198	5	zhongbao	zhongbao	PROPN
ajst-30889	198	6	.	.	PUNCT
ajst-30889	199	1	prediction	prediction	NOUN
ajst-30889	199	2	of	of	ADP
ajst-30889	199	3	dam	dam	NOUN
ajst-30889	199	4	deformation	deformation	NOUN
ajst-30889	199	5	based	base	VERB
ajst-30889	199	6	on	on	ADP
ajst-30889	199	7	the	the	DET
ajst-30889	199	8	improved	improve	VERB
ajst-30889	199	9	bp	bp	PROPN
ajst-30889	199	10	neural	neural	ADJ
ajst-30889	199	11	network	network	NOUN
ajst-30889	199	12	with	with	ADP
ajst-30889	199	13	adaptive	adaptive	ADJ
ajst-30889	199	14	particle	particle	NOUN
ajst-30889	199	15	swarm	swarm	NOUN
ajst-30889	199	16	optimization[j	optimization[j	NOUN
ajst-30889	199	17	]	]	PUNCT
ajst-30889	199	18	.	.	PUNCT
ajst-30889	200	1	journal	journal	PROPN
ajst-30889	200	2	of	of	ADP
ajst-30889	200	3	geodesy	geodesy	PROPN
ajst-30889	200	4	and	and	CCONJ
ajst-30889	200	5	geodynamics	geodynamic	NOUN
ajst-30889	200	6	,	,	PUNCT
ajst-30889	200	7	2019	2019	NUM
ajst-30889	200	8	,	,	PUNCT
ajst-30889	200	9	39(05):528	39(05):528	NUM
ajst-30889	200	10	-	-	SYM
ajst-30889	200	11	532	532	NUM
ajst-30889	200	12	.	.	PUNCT
ajst-30889	201	1	[	[	X
ajst-30889	201	2	5	5	X
ajst-30889	201	3	]	]	PUNCT
ajst-30889	201	4	erkan	erkan	PROPN
ajst-30889	201	5	kose	kose	PROPN
ajst-30889	201	6	,	,	PUNCT
ajst-30889	201	7	levent	levent	PROPN
ajst-30889	201	8	tasci	tasci	PROPN
ajst-30889	201	9	.	.	PUNCT
ajst-30889	202	1	geodetic	geodetic	ADJ
ajst-30889	202	2	deformation	deformation	NOUN
ajst-30889	202	3	forecasting	forecasting	NOUN
ajst-30889	202	4	based	base	VERB
ajst-30889	202	5	on	on	ADP
ajst-30889	202	6	multivariable	multivariable	ADJ
ajst-30889	202	7	grey	grey	PROPN
ajst-30889	202	8	prediction	prediction	NOUN
ajst-30889	202	9	model	model	NOUN
ajst-30889	202	10	and	and	CCONJ
ajst-30889	202	11	regression	regression	NOUN
ajst-30889	202	12	model[j	model[j	PROPN
ajst-30889	202	13	]	]	PUNCT
ajst-30889	202	14	.	.	PUNCT
ajst-30889	203	1	grey	grey	PROPN
ajst-30889	203	2	systems	system	NOUN
ajst-30889	203	3	:	:	PUNCT
ajst-30889	203	4	theory	theory	NOUN
ajst-30889	203	5	and	and	CCONJ
ajst-30889	203	6	application,2019,9(4	application,2019,9(4	NOUN
ajst-30889	203	7	):	):	PUNCT
ajst-30889	203	8	464	464	NUM
ajst-30889	203	9	-	-	SYM
ajst-30889	203	10	471	471	NUM
ajst-30889	203	11	.	.	PUNCT
ajst-30889	204	1	[	[	X
ajst-30889	204	2	6	6	NUM
ajst-30889	204	3	]	]	PUNCT
ajst-30889	204	4	yang	yang	PROPN
ajst-30889	204	5	zongren	zongren	PROPN
ajst-30889	204	6	,	,	PUNCT
ajst-30889	204	7	yang	yang	PROPN
ajst-30889	204	8	kai	kai	PROPN
ajst-30889	204	9	,	,	PUNCT
ajst-30889	204	10	wang	wang	PROPN
ajst-30889	204	11	jian	jian	PROPN
ajst-30889	204	12	.	.	PROPN
ajst-30889	204	13	dam	dam	PROPN
ajst-30889	204	14	deformation	deformation	NOUN
ajst-30889	204	15	prediction	prediction	NOUN
ajst-30889	204	16	model	model	NOUN
ajst-30889	204	17	based	base	VERB
ajst-30889	204	18	on	on	ADP
ajst-30889	204	19	aafsa	aafsa	NOUN
ajst-30889	204	20	-	-	PUNCT
ajst-30889	204	21	lstm[j	lstm[j	PROPN
ajst-30889	204	22	]	]	PUNCT
ajst-30889	204	23	.	.	PUNCT
ajst-30889	205	1	journal	journal	PROPN
ajst-30889	205	2	of	of	ADP
ajst-30889	205	3	water	water	NOUN
ajst-30889	205	4	resources	resource	NOUN
ajst-30889	205	5	and	and	CCONJ
ajst-30889	205	6	architectural	architectural	ADJ
ajst-30889	205	7	engineering	engineering	NOUN
ajst-30889	205	8	,	,	PUNCT
ajst-30889	205	9	2022	2022	NUM
ajst-30889	205	10	,	,	PUNCT
ajst-30889	205	11	20(01	20(01	NUM
ajst-30889	205	12	):	):	PUNCT
ajst-30889	205	13	98	98	NUM
ajst-30889	205	14	-	-	SYM
ajst-30889	205	15	102	102	NUM
ajst-30889	205	16	.	.	PUNCT
ajst-30889	206	1	[	[	X
ajst-30889	206	2	7	7	X
ajst-30889	206	3	]	]	X
ajst-30889	206	4	lu	lu	NOUN
ajst-30889	206	5	kaiyun	kaiyun	PROPN
ajst-30889	206	6	.	.	PUNCT
ajst-30889	207	1	research	research	NOUN
ajst-30889	207	2	and	and	CCONJ
ajst-30889	207	3	analysis	analysis	NOUN
ajst-30889	207	4	about	about	ADP
ajst-30889	207	5	the	the	DET
ajst-30889	207	6	deformation	deformation	NOUN
ajst-30889	207	7	forecasting	forecasting	NOUN
ajst-30889	207	8	methods	method	NOUN
ajst-30889	207	9	of	of	ADP
ajst-30889	207	10	yellow	yellow	PROPN
ajst-30889	207	11	river	river	PROPN
ajst-30889	207	12	xiao	xiao	PROPN
ajst-30889	207	13	langdi	langdi	PROPN
ajst-30889	207	14	water	water	PROPN
ajst-30889	207	15	hydropower	hydropower	PROPN
ajst-30889	207	16	dam	dam	NOUN
ajst-30889	208	1	[	[	X
ajst-30889	208	2	d	d	X
ajst-30889	208	3	]	]	X
ajst-30889	208	4	.	.	PUNCT
ajst-30889	209	1	china	china	PROPN
ajst-30889	209	2	university	university	PROPN
ajst-30889	209	3	of	of	ADP
ajst-30889	209	4	mining	mining	NOUN
ajst-30889	209	5	and	and	CCONJ
ajst-30889	209	6	technology	technology	NOUN
ajst-30889	209	7	(	(	PUNCT
ajst-30889	209	8	beijing	beijing	PROPN
ajst-30889	209	9	)	)	PUNCT
ajst-30889	209	10	,	,	PUNCT
ajst-30889	209	11	2012	2012	NUM
ajst-30889	209	12	.	.	PUNCT
ajst-30889	210	1	[	[	X
ajst-30889	210	2	8	8	NUM
ajst-30889	210	3	]	]	X
ajst-30889	210	4	luo	luo	PROPN
ajst-30889	210	5	chaolin	chaolin	PROPN
ajst-30889	210	6	,	,	PUNCT
ajst-30889	210	7	chen	chen	PROPN
ajst-30889	210	8	wufen	wufen	PROPN
ajst-30889	210	9	,	,	PUNCT
ajst-30889	210	10	zhang	zhang	PROPN
ajst-30889	210	11	bo	bo	PROPN
ajst-30889	210	12	,	,	PUNCT
ajst-30889	210	13	et	et	PROPN
ajst-30889	210	14	al	al	PROPN
ajst-30889	210	15	.	.	PUNCT
ajst-30889	210	16	application	application	NOUN
ajst-30889	210	17	of	of	ADP
ajst-30889	210	18	neural	neural	ADJ
ajst-30889	210	19	network	network	NOUN
ajst-30889	210	20	based	base	VERB
ajst-30889	210	21	on	on	ADP
ajst-30889	210	22	wavelet	wavelet	NOUN
ajst-30889	210	23	optimization	optimization	NOUN
ajst-30889	210	24	in	in	ADP
ajst-30889	210	25	dam	dam	NOUN
ajst-30889	210	26	deformation	deformation	NOUN
ajst-30889	210	27	prediction[c	prediction[c	NOUN
ajst-30889	210	28	]	]	PUNCT
ajst-30889	210	29	.	.	PUNCT
ajst-30889	211	1	new	new	ADJ
ajst-30889	211	2	progress	progress	NOUN
ajst-30889	211	3	in	in	ADP
ajst-30889	211	4	construction	construction	NOUN
ajst-30889	211	5	and	and	CCONJ
ajst-30889	211	6	operation	operation	NOUN
ajst-30889	211	7	management	management	NOUN
ajst-30889	211	8	of	of	ADP
ajst-30889	211	9	reservoir	reservoir	PROPN
ajst-30889	211	10	dam	dam	NOUN
ajst-30889	211	11	and	and	CCONJ
ajst-30889	211	12	hydropower	hydropower	NOUN
ajst-30889	211	13	station	station	NOUN
ajst-30889	211	14	,	,	PUNCT
ajst-30889	211	15	2022:302	2022:302	NUM
ajst-30889	211	16	-	-	SYM
ajst-30889	211	17	308	308	NUM
ajst-30889	211	18	.	.	PUNCT
ajst-30889	212	1	[	[	X
ajst-30889	212	2	9	9	NUM
ajst-30889	212	3	]	]	SYM
ajst-30889	212	4	li	li	PROPN
ajst-30889	212	5	chao	chao	PROPN
ajst-30889	212	6	.	.	PUNCT
ajst-30889	213	1	research	research	NOUN
ajst-30889	213	2	on	on	ADP
ajst-30889	213	3	the	the	DET
ajst-30889	213	4	appliation	appliation	NOUN
ajst-30889	213	5	of	of	ADP
ajst-30889	213	6	wavelet	wavelet	NOUN
ajst-30889	213	7	neural	neural	ADJ
ajst-30889	213	8	network	network	NOUN
ajst-30889	213	9	in	in	ADP
ajst-30889	213	10	prediction	prediction	NOUN
ajst-30889	213	11	of	of	ADP
ajst-30889	213	12	deformation	deformation	NOUN
ajst-30889	213	13	of	of	ADP
ajst-30889	213	14	dams[d	dams[d	PROPN
ajst-30889	213	15	]	]	PUNCT
ajst-30889	213	16	.	.	PUNCT
ajst-30889	214	1	shanxi	shanxi	PROPN
ajst-30889	214	2	:	:	PUNCT
ajst-30889	215	1	chang	chang	PROPN
ajst-30889	215	2	'	'	PROPN
ajst-30889	215	3	an	an	DET
ajst-30889	215	4	university	university	NOUN
ajst-30889	215	5	,	,	PUNCT
ajst-30889	215	6	2012	2012	NUM
ajst-30889	215	7	.	.	PUNCT