id	sid	tid	token	lemma	pos
ajst-8022	1	1	academic	academic	ADJ
ajst-8022	1	2	journal	journal	NOUN
ajst-8022	1	3	of	of	ADP
ajst-8022	1	4	science	science	NOUN
ajst-8022	1	5	and	and	CCONJ
ajst-8022	1	6	technology	technology	NOUN
ajst-8022	1	7	issn	issn	NOUN
ajst-8022	1	8	:	:	PUNCT
ajst-8022	1	9	2771	2771	NUM
ajst-8022	1	10	-	-	SYM
ajst-8022	1	11	3032	3032	NUM
ajst-8022	1	12	|	|	NOUN
ajst-8022	1	13	vol	vol	NOUN
ajst-8022	1	14	.	.	PROPN
ajst-8022	2	1	5	5	NUM
ajst-8022	2	2	,	,	PUNCT
ajst-8022	2	3	no	no	INTJ
ajst-8022	2	4	.	.	NOUN
ajst-8022	2	5	3	3	NUM
ajst-8022	2	6	,	,	PUNCT
ajst-8022	2	7	2023	2023	NUM
ajst-8022	2	8	244	244	NUM
ajst-8022	2	9	research	research	NOUN
ajst-8022	2	10	on	on	ADP
ajst-8022	2	11	light	light	ADJ
ajst-8022	2	12	pollution	pollution	NOUN
ajst-8022	2	13	based	base	VERB
ajst-8022	2	14	on	on	ADP
ajst-8022	2	15	bp	bp	PROPN
ajst-8022	2	16	neural	neural	PROPN
ajst-8022	2	17	network	network	PROPN
ajst-8022	2	18	jiawang	jiawang	PROPN
ajst-8022	2	19	wang	wang	PROPN
ajst-8022	2	20	#	#	PROPN
ajst-8022	2	21	,	,	PUNCT
ajst-8022	2	22	hehong	hehong	PROPN
ajst-8022	2	23	huang	huang	PROPN
ajst-8022	2	24	#	#	PROPN
ajst-8022	2	25	,	,	PUNCT
ajst-8022	2	26	zilei	zilei	X
ajst-8022	2	27	ji	ji	NOUN
ajst-8022	2	28	#	#	NOUN
ajst-8022	2	29	school	school	NOUN
ajst-8022	2	30	of	of	ADP
ajst-8022	2	31	mechanical	mechanical	ADJ
ajst-8022	2	32	engineering	engineering	NOUN
ajst-8022	2	33	,	,	PUNCT
ajst-8022	2	34	tianjin	tianjin	PROPN
ajst-8022	2	35	university	university	PROPN
ajst-8022	2	36	of	of	ADP
ajst-8022	2	37	science	science	NOUN
ajst-8022	2	38	and	and	CCONJ
ajst-8022	2	39	technology	technology	NOUN
ajst-8022	2	40	,	,	PUNCT
ajst-8022	2	41	tianjin	tianjin	NOUN
ajst-8022	2	42	,	,	PUNCT
ajst-8022	2	43	300222	300222	NUM
ajst-8022	2	44	,	,	PUNCT
ajst-8022	2	45	china	china	PROPN
ajst-8022	2	46	#	#	ADV
ajst-8022	2	47	these	these	DET
ajst-8022	2	48	authors	author	NOUN
ajst-8022	2	49	contributed	contribute	VERB
ajst-8022	2	50	equally	equally	ADV
ajst-8022	2	51	.	.	PUNCT
ajst-8022	3	1	abstract	abstract	ADJ
ajst-8022	3	2	:	:	PUNCT
ajst-8022	3	3	this	this	DET
ajst-8022	3	4	study	study	NOUN
ajst-8022	3	5	focuses	focus	VERB
ajst-8022	3	6	on	on	ADP
ajst-8022	3	7	the	the	DET
ajst-8022	3	8	impact	impact	NOUN
ajst-8022	3	9	of	of	ADP
ajst-8022	3	10	local	local	ADJ
ajst-8022	3	11	development	development	NOUN
ajst-8022	3	12	level	level	NOUN
ajst-8022	3	13	,	,	PUNCT
ajst-8022	3	14	population	population	NOUN
ajst-8022	3	15	,	,	PUNCT
ajst-8022	3	16	biodiversity	biodiversity	NOUN
ajst-8022	3	17	,	,	PUNCT
ajst-8022	3	18	geography	geography	NOUN
ajst-8022	3	19	,	,	PUNCT
ajst-8022	3	20	climate	climate	NOUN
ajst-8022	3	21	and	and	CCONJ
ajst-8022	3	22	other	other	ADJ
ajst-8022	3	23	factors	factor	NOUN
ajst-8022	3	24	on	on	ADP
ajst-8022	3	25	local	local	ADJ
ajst-8022	3	26	light	light	NOUN
ajst-8022	3	27	pollution	pollution	NOUN
ajst-8022	3	28	,	,	PUNCT
ajst-8022	3	29	establishes	establish	VERB
ajst-8022	3	30	a	a	DET
ajst-8022	3	31	widely	widely	ADV
ajst-8022	3	32	applicable	applicable	ADJ
ajst-8022	3	33	evaluation	evaluation	NOUN
ajst-8022	3	34	model	model	NOUN
ajst-8022	3	35	,	,	PUNCT
ajst-8022	3	36	and	and	CCONJ
ajst-8022	3	37	reasonably	reasonably	ADV
ajst-8022	3	38	evaluates	evaluate	VERB
ajst-8022	3	39	the	the	DET
ajst-8022	3	40	impact	impact	NOUN
ajst-8022	3	41	of	of	ADP
ajst-8022	3	42	various	various	ADJ
ajst-8022	3	43	factors	factor	NOUN
ajst-8022	3	44	on	on	ADP
ajst-8022	3	45	light	light	ADJ
ajst-8022	3	46	pollution	pollution	NOUN
ajst-8022	3	47	.	.	PUNCT
ajst-8022	4	1	firstly	firstly	ADV
ajst-8022	4	2	,	,	PUNCT
ajst-8022	4	3	twelve	twelve	NUM
ajst-8022	4	4	factors	factor	NOUN
ajst-8022	4	5	that	that	PRON
ajst-8022	4	6	may	may	AUX
ajst-8022	4	7	be	be	AUX
ajst-8022	4	8	related	relate	VERB
ajst-8022	4	9	to	to	ADP
ajst-8022	4	10	light	light	ADJ
ajst-8022	4	11	pollution	pollution	NOUN
ajst-8022	4	12	are	be	AUX
ajst-8022	4	13	selected	select	VERB
ajst-8022	4	14	,	,	PUNCT
ajst-8022	4	15	grayscale	grayscale	NOUN
ajst-8022	4	16	processing	processing	NOUN
ajst-8022	4	17	is	be	AUX
ajst-8022	4	18	performed	perform	VERB
ajst-8022	4	19	on	on	ADP
ajst-8022	4	20	the	the	DET
ajst-8022	4	21	night	night	NOUN
ajst-8022	4	22	remote	remote	ADJ
ajst-8022	4	23	sensing	sense	VERB
ajst-8022	4	24	image	image	NOUN
ajst-8022	4	25	,	,	PUNCT
ajst-8022	4	26	the	the	DET
ajst-8022	4	27	color	color	NOUN
ajst-8022	4	28	value	value	NOUN
ajst-8022	4	29	of	of	ADP
ajst-8022	4	30	the	the	DET
ajst-8022	4	31	grayscale	grayscale	NOUN
ajst-8022	4	32	image	image	NOUN
ajst-8022	4	33	is	be	AUX
ajst-8022	4	34	read	read	VERB
ajst-8022	4	35	and	and	CCONJ
ajst-8022	4	36	quantified	quantify	VERB
ajst-8022	4	37	as	as	ADP
ajst-8022	4	38	the	the	DET
ajst-8022	4	39	light	light	ADJ
ajst-8022	4	40	pollution	pollution	NOUN
ajst-8022	4	41	value	value	NOUN
ajst-8022	4	42	,	,	PUNCT
ajst-8022	4	43	and	and	CCONJ
ajst-8022	4	44	the	the	DET
ajst-8022	4	45	selected	select	VERB
ajst-8022	4	46	factors	factor	NOUN
ajst-8022	4	47	are	be	AUX
ajst-8022	4	48	averaged	average	VERB
ajst-8022	4	49	and	and	CCONJ
ajst-8022	4	50	normalized	normalize	VERB
ajst-8022	4	51	.	.	PUNCT
ajst-8022	5	1	then	then	ADV
ajst-8022	5	2	,	,	PUNCT
ajst-8022	5	3	the	the	DET
ajst-8022	5	4	gray	gray	ADJ
ajst-8022	5	5	correlation	correlation	NOUN
ajst-8022	5	6	model	model	NOUN
ajst-8022	5	7	is	be	AUX
ajst-8022	5	8	used	use	VERB
ajst-8022	5	9	to	to	PART
ajst-8022	5	10	obtain	obtain	VERB
ajst-8022	5	11	the	the	DET
ajst-8022	5	12	gray	gray	ADJ
ajst-8022	5	13	correlation	correlation	NOUN
ajst-8022	5	14	degree	degree	NOUN
ajst-8022	5	15	and	and	CCONJ
ajst-8022	5	16	select	select	VERB
ajst-8022	5	17	the	the	DET
ajst-8022	5	18	factors	factor	NOUN
ajst-8022	5	19	with	with	ADP
ajst-8022	5	20	strong	strong	ADJ
ajst-8022	5	21	correlation	correlation	NOUN
ajst-8022	5	22	.	.	PUNCT
ajst-8022	6	1	secondly	secondly	ADV
ajst-8022	6	2	,	,	PUNCT
ajst-8022	6	3	the	the	DET
ajst-8022	6	4	light	light	ADJ
ajst-8022	6	5	pollution	pollution	NOUN
ajst-8022	6	6	evaluation	evaluation	NOUN
ajst-8022	6	7	model	model	NOUN
ajst-8022	6	8	is	be	AUX
ajst-8022	6	9	established	establish	VERB
ajst-8022	6	10	by	by	ADP
ajst-8022	6	11	the	the	DET
ajst-8022	6	12	bp	bp	PROPN
ajst-8022	6	13	neural	neural	ADJ
ajst-8022	6	14	network	network	NOUN
ajst-8022	6	15	,	,	PUNCT
ajst-8022	6	16	and	and	CCONJ
ajst-8022	6	17	the	the	DET
ajst-8022	6	18	light	light	ADJ
ajst-8022	6	19	pollution	pollution	NOUN
ajst-8022	6	20	risk	risk	NOUN
ajst-8022	6	21	level	level	NOUN
ajst-8022	6	22	is	be	AUX
ajst-8022	6	23	divided	divide	VERB
ajst-8022	6	24	into	into	ADP
ajst-8022	6	25	four	four	NUM
ajst-8022	6	26	grades	grade	NOUN
ajst-8022	6	27	:	:	PUNCT
ajst-8022	6	28	a	a	DET
ajst-8022	6	29	,	,	PUNCT
ajst-8022	6	30	b	b	NOUN
ajst-8022	6	31	,	,	PUNCT
ajst-8022	6	32	c	c	NOUN
ajst-8022	6	33	,	,	PUNCT
ajst-8022	6	34	and	and	CCONJ
ajst-8022	6	35	d	d	NOUN
ajst-8022	6	36	,	,	PUNCT
ajst-8022	6	37	of	of	ADP
ajst-8022	6	38	which	which	PRON
ajst-8022	6	39	a	a	DET
ajst-8022	6	40	grade	grade	NOUN
ajst-8022	6	41	represents	represent	VERB
ajst-8022	6	42	the	the	DET
ajst-8022	6	43	low	low	ADJ
ajst-8022	6	44	light	light	ADJ
ajst-8022	6	45	pollution	pollution	NOUN
ajst-8022	6	46	risk	risk	NOUN
ajst-8022	6	47	level	level	NOUN
ajst-8022	6	48	(	(	PUNCT
ajst-8022	6	49	a	a	X
ajst-8022	6	50	:	:	PUNCT
ajst-8022	6	51	0~1	0~1	NUM
ajst-8022	6	52	,	,	PUNCT
ajst-8022	6	53	b:2~4	b:2~4	PROPN
ajst-8022	6	54	,	,	PUNCT
ajst-8022	6	55	c:5~7	c:5~7	PROPN
ajst-8022	6	56	,	,	PUNCT
ajst-8022	6	57	d:8~9	d:8~9	PROPN
ajst-8022	6	58	,	,	PUNCT
ajst-8022	6	59	and	and	CCONJ
ajst-8022	6	60	the	the	DET
ajst-8022	6	61	number	number	NOUN
ajst-8022	6	62	represents	represent	VERB
ajst-8022	6	63	the	the	DET
ajst-8022	6	64	light	light	ADJ
ajst-8022	6	65	pollution	pollution	NOUN
ajst-8022	6	66	value	value	NOUN
ajst-8022	6	67	)	)	PUNCT
ajst-8022	6	68	.	.	PUNCT
ajst-8022	7	1	based	base	VERB
ajst-8022	7	2	on	on	ADP
ajst-8022	7	3	this	this	PRON
ajst-8022	7	4	,	,	PUNCT
ajst-8022	7	5	this	this	DET
ajst-8022	7	6	study	study	NOUN
ajst-8022	7	7	established	establish	VERB
ajst-8022	7	8	a	a	DET
ajst-8022	7	9	set	set	NOUN
ajst-8022	7	10	of	of	ADP
ajst-8022	7	11	evaluation	evaluation	NOUN
ajst-8022	7	12	index	index	NOUN
ajst-8022	7	13	system	system	NOUN
ajst-8022	7	14	to	to	PART
ajst-8022	7	15	determine	determine	VERB
ajst-8022	7	16	the	the	DET
ajst-8022	7	17	level	level	NOUN
ajst-8022	7	18	of	of	ADP
ajst-8022	7	19	light	light	ADJ
ajst-8022	7	20	pollution	pollution	NOUN
ajst-8022	7	21	risk	risk	NOUN
ajst-8022	7	22	level	level	NOUN
ajst-8022	7	23	of	of	ADP
ajst-8022	7	24	a	a	DET
ajst-8022	7	25	site	site	NOUN
ajst-8022	7	26	.	.	PUNCT
ajst-8022	8	1	finally	finally	ADV
ajst-8022	8	2	,	,	PUNCT
ajst-8022	8	3	different	different	ADJ
ajst-8022	8	4	types	type	NOUN
ajst-8022	8	5	of	of	ADP
ajst-8022	8	6	locations	location	NOUN
ajst-8022	8	7	are	be	AUX
ajst-8022	8	8	selected	select	VERB
ajst-8022	8	9	to	to	PART
ajst-8022	8	10	test	test	VERB
ajst-8022	8	11	the	the	DET
ajst-8022	8	12	established	establish	VERB
ajst-8022	8	13	prediction	prediction	NOUN
ajst-8022	8	14	model	model	NOUN
ajst-8022	8	15	to	to	PART
ajst-8022	8	16	verify	verify	VERB
ajst-8022	8	17	the	the	DET
ajst-8022	8	18	wide	wide	ADJ
ajst-8022	8	19	applicability	applicability	NOUN
ajst-8022	8	20	of	of	ADP
ajst-8022	8	21	the	the	DET
ajst-8022	8	22	established	establish	VERB
ajst-8022	8	23	bp	bp	PROPN
ajst-8022	8	24	neural	neural	ADJ
ajst-8022	8	25	network	network	NOUN
ajst-8022	8	26	evaluation	evaluation	NOUN
ajst-8022	8	27	system	system	NOUN
ajst-8022	8	28	.	.	PUNCT
ajst-8022	9	1	the	the	DET
ajst-8022	9	2	results	result	NOUN
ajst-8022	9	3	show	show	VERB
ajst-8022	9	4	that	that	SCONJ
ajst-8022	9	5	the	the	DET
ajst-8022	9	6	light	light	ADJ
ajst-8022	9	7	pollution	pollution	NOUN
ajst-8022	9	8	evaluation	evaluation	NOUN
ajst-8022	9	9	model	model	NOUN
ajst-8022	9	10	in	in	ADP
ajst-8022	9	11	this	this	DET
ajst-8022	9	12	study	study	NOUN
ajst-8022	9	13	can	can	AUX
ajst-8022	9	14	effectively	effectively	ADV
ajst-8022	9	15	predict	predict	VERB
ajst-8022	9	16	light	light	ADJ
ajst-8022	9	17	pollution	pollution	NOUN
ajst-8022	9	18	for	for	ADP
ajst-8022	9	19	different	different	ADJ
ajst-8022	9	20	locations	location	NOUN
ajst-8022	9	21	and	and	CCONJ
ajst-8022	9	22	has	have	VERB
ajst-8022	9	23	wide	wide	ADJ
ajst-8022	9	24	applicability	applicability	NOUN
ajst-8022	9	25	.	.	PUNCT
ajst-8022	10	1	keywords	keyword	NOUN
ajst-8022	10	2	:	:	PUNCT
ajst-8022	10	3	light	light	ADJ
ajst-8022	10	4	pollution	pollution	NOUN
ajst-8022	10	5	,	,	PUNCT
ajst-8022	10	6	remote	remote	ADJ
ajst-8022	10	7	sensing	sensing	NOUN
ajst-8022	10	8	imagery	imagery	NOUN
ajst-8022	10	9	,	,	PUNCT
ajst-8022	10	10	gray	gray	ADJ
ajst-8022	10	11	associative	associative	ADJ
ajst-8022	10	12	model	model	NOUN
ajst-8022	10	13	,	,	PUNCT
ajst-8022	10	14	bp	bp	PROPN
ajst-8022	10	15	neural	neural	ADJ
ajst-8022	10	16	networks	network	NOUN
ajst-8022	10	17	.	.	PUNCT
ajst-8022	11	1	1	1	X
ajst-8022	11	2	.	.	X
ajst-8022	11	3	introduction	introduction	NOUN
ajst-8022	11	4	with	with	ADP
ajst-8022	11	5	the	the	DET
ajst-8022	11	6	rapid	rapid	ADJ
ajst-8022	11	7	development	development	NOUN
ajst-8022	11	8	of	of	ADP
ajst-8022	11	9	science	science	NOUN
ajst-8022	11	10	and	and	CCONJ
ajst-8022	11	11	technology	technology	NOUN
ajst-8022	11	12	and	and	CCONJ
ajst-8022	11	13	economy	economy	NOUN
ajst-8022	11	14	,	,	PUNCT
ajst-8022	11	15	people	people	NOUN
ajst-8022	11	16	's	's	PART
ajst-8022	11	17	quality	quality	NOUN
ajst-8022	11	18	of	of	ADP
ajst-8022	11	19	life	life	NOUN
ajst-8022	11	20	has	have	AUX
ajst-8022	11	21	been	be	AUX
ajst-8022	11	22	improved	improve	VERB
ajst-8022	11	23	,	,	PUNCT
ajst-8022	11	24	urban	urban	ADJ
ajst-8022	11	25	planning	planning	NOUN
ajst-8022	11	26	and	and	CCONJ
ajst-8022	11	27	construction	construction	NOUN
ajst-8022	11	28	have	have	AUX
ajst-8022	11	29	also	also	ADV
ajst-8022	11	30	made	make	VERB
ajst-8022	11	31	continuous	continuous	ADJ
ajst-8022	11	32	progress	progress	NOUN
ajst-8022	11	33	,	,	PUNCT
ajst-8022	11	34	and	and	CCONJ
ajst-8022	11	35	creating	create	VERB
ajst-8022	11	36	a	a	DET
ajst-8022	11	37	perfect	perfect	ADJ
ajst-8022	11	38	and	and	CCONJ
ajst-8022	11	39	comfortable	comfortable	ADJ
ajst-8022	11	40	nighttime	nighttime	ADJ
ajst-8022	11	41	living	live	VERB
ajst-8022	11	42	environment	environment	NOUN
ajst-8022	11	43	has	have	AUX
ajst-8022	11	44	become	become	VERB
ajst-8022	11	45	an	an	DET
ajst-8022	11	46	important	important	ADJ
ajst-8022	11	47	part	part	NOUN
ajst-8022	11	48	of	of	ADP
ajst-8022	11	49	development	development	NOUN
ajst-8022	11	50	.	.	PUNCT
ajst-8022	12	1	in	in	ADP
ajst-8022	12	2	order	order	NOUN
ajst-8022	12	3	to	to	PART
ajst-8022	12	4	create	create	VERB
ajst-8022	12	5	a	a	DET
ajst-8022	12	6	perfect	perfect	ADJ
ajst-8022	12	7	and	and	CCONJ
ajst-8022	12	8	comfortable	comfortable	ADJ
ajst-8022	12	9	nighttime	nighttime	ADJ
ajst-8022	12	10	living	living	NOUN
ajst-8022	12	11	environment	environment	NOUN
ajst-8022	12	12	,	,	PUNCT
ajst-8022	12	13	night	night	NOUN
ajst-8022	12	14	artificial	artificial	ADJ
ajst-8022	12	15	lighting	lighting	NOUN
ajst-8022	12	16	design	design	NOUN
ajst-8022	12	17	is	be	AUX
ajst-8022	12	18	becoming	become	VERB
ajst-8022	12	19	increasingly	increasingly	ADV
ajst-8022	12	20	important	important	ADJ
ajst-8022	12	21	.	.	PUNCT
ajst-8022	13	1	however	however	ADV
ajst-8022	13	2	,	,	PUNCT
ajst-8022	13	3	the	the	DET
ajst-8022	13	4	problem	problem	NOUN
ajst-8022	13	5	of	of	ADP
ajst-8022	13	6	light	light	ADJ
ajst-8022	13	7	pollution	pollution	NOUN
ajst-8022	13	8	caused	cause	VERB
ajst-8022	13	9	by	by	ADP
ajst-8022	13	10	excessive	excessive	ADJ
ajst-8022	13	11	or	or	CCONJ
ajst-8022	13	12	poor	poor	ADJ
ajst-8022	13	13	use	use	NOUN
ajst-8022	13	14	of	of	ADP
ajst-8022	13	15	artificial	artificial	ADJ
ajst-8022	13	16	light	light	NOUN
ajst-8022	13	17	,	,	PUNCT
ajst-8022	13	18	just	just	ADV
ajst-8022	13	19	like	like	ADP
ajst-8022	13	20	food	food	NOUN
ajst-8022	13	21	,	,	PUNCT
ajst-8022	13	22	water	water	NOUN
ajst-8022	13	23	,	,	PUNCT
ajst-8022	13	24	air	air	NOUN
ajst-8022	13	25	,	,	PUNCT
ajst-8022	13	26	and	and	CCONJ
ajst-8022	13	27	even	even	ADV
ajst-8022	13	28	nuclear	nuclear	ADJ
ajst-8022	13	29	pollution	pollution	NOUN
ajst-8022	13	30	,	,	PUNCT
ajst-8022	13	31	has	have	AUX
ajst-8022	13	32	attracted	attract	VERB
ajst-8022	13	33	more	more	ADJ
ajst-8022	13	34	and	and	CCONJ
ajst-8022	13	35	more	more	ADJ
ajst-8022	13	36	attention	attention	NOUN
ajst-8022	14	1	[	[	X
ajst-8022	14	2	1].the	1].the	DET
ajst-8022	14	3	negative	negative	ADJ
ajst-8022	14	4	effects	effect	NOUN
ajst-8022	14	5	of	of	ADP
ajst-8022	14	6	light	light	ADJ
ajst-8022	14	7	pollution	pollution	NOUN
ajst-8022	14	8	include	include	VERB
ajst-8022	14	9	disturbing	disturb	VERB
ajst-8022	14	10	the	the	DET
ajst-8022	14	11	natural	natural	ADJ
ajst-8022	14	12	life	life	NOUN
ajst-8022	14	13	patterns	pattern	NOUN
ajst-8022	14	14	of	of	ADP
ajst-8022	14	15	animals	animal	NOUN
ajst-8022	14	16	and	and	CCONJ
ajst-8022	14	17	plants	plant	NOUN
ajst-8022	14	18	and	and	CCONJ
ajst-8022	14	19	disrupting	disrupt	VERB
ajst-8022	14	20	the	the	DET
ajst-8022	14	21	balance	balance	NOUN
ajst-8022	14	22	of	of	ADP
ajst-8022	14	23	ecosystems	ecosystem	NOUN
ajst-8022	14	24	;	;	PUNCT
ajst-8022	14	25	for	for	ADP
ajst-8022	14	26	humans	human	NOUN
ajst-8022	14	27	,	,	PUNCT
ajst-8022	14	28	it	it	PRON
ajst-8022	14	29	can	can	AUX
ajst-8022	14	30	interfere	interfere	VERB
ajst-8022	14	31	with	with	ADP
ajst-8022	14	32	the	the	DET
ajst-8022	14	33	biological	biological	ADJ
ajst-8022	14	34	clock	clock	NOUN
ajst-8022	14	35	,	,	PUNCT
ajst-8022	14	36	disrupt	disrupt	VERB
ajst-8022	14	37	endocrine	endocrine	NOUN
ajst-8022	14	38	balance	balance	NOUN
ajst-8022	14	39	,	,	PUNCT
ajst-8022	14	40	and	and	CCONJ
ajst-8022	14	41	cause	cause	VERB
ajst-8022	14	42	physical	physical	ADJ
ajst-8022	14	43	and	and	CCONJ
ajst-8022	14	44	psychological	psychological	ADJ
ajst-8022	14	45	problems	problem	NOUN
ajst-8022	14	46	;	;	PUNCT
ajst-8022	14	47	excessive	excessive	ADJ
ajst-8022	14	48	night	night	NOUN
ajst-8022	14	49	lighting	lighting	NOUN
ajst-8022	14	50	also	also	ADV
ajst-8022	14	51	consumes	consume	VERB
ajst-8022	14	52	unnecessary	unnecessary	ADJ
ajst-8022	14	53	electricity	electricity	NOUN
ajst-8022	14	54	,	,	PUNCT
ajst-8022	14	55	resulting	result	VERB
ajst-8022	14	56	in	in	ADP
ajst-8022	14	57	a	a	DET
ajst-8022	14	58	great	great	ADJ
ajst-8022	14	59	waste	waste	NOUN
ajst-8022	14	60	of	of	ADP
ajst-8022	14	61	energy	energy	NOUN
ajst-8022	14	62	,	,	PUNCT
ajst-8022	14	63	etc	etc	X
ajst-8022	14	64	.	.	X
ajst-8022	14	65	,	,	PUNCT
ajst-8022	14	66	and	and	CCONJ
ajst-8022	14	67	glare	glare	NOUN
ajst-8022	14	68	caused	cause	VERB
ajst-8022	14	69	by	by	ADP
ajst-8022	14	70	artificial	artificial	ADJ
ajst-8022	14	71	light	light	NOUN
ajst-8022	14	72	may	may	AUX
ajst-8022	14	73	lead	lead	VERB
ajst-8022	14	74	to	to	ADP
ajst-8022	14	75	some	some	DET
ajst-8022	14	76	motor	motor	NOUN
ajst-8022	14	77	vehicle	vehicle	NOUN
ajst-8022	14	78	accidents[2	accidents[2	PROPN
ajst-8022	14	79	]	]	PUNCT
ajst-8022	14	80	.	.	PUNCT
ajst-8022	15	1	in	in	ADP
ajst-8022	15	2	this	this	DET
ajst-8022	15	3	context	context	NOUN
ajst-8022	15	4	,	,	PUNCT
ajst-8022	15	5	while	while	SCONJ
ajst-8022	15	6	community	community	NOUN
ajst-8022	15	7	officials	official	NOUN
ajst-8022	15	8	or	or	CCONJ
ajst-8022	15	9	local	local	ADJ
ajst-8022	15	10	groups	group	NOUN
ajst-8022	15	11	can	can	AUX
ajst-8022	15	12	implement	implement	VERB
ajst-8022	15	13	intervention	intervention	NOUN
ajst-8022	15	14	strategies	strategy	NOUN
ajst-8022	15	15	to	to	PART
ajst-8022	15	16	mitigate	mitigate	VERB
ajst-8022	15	17	the	the	DET
ajst-8022	15	18	negative	negative	ADJ
ajst-8022	15	19	effects	effect	NOUN
ajst-8022	15	20	of	of	ADP
ajst-8022	15	21	light	light	ADJ
ajst-8022	15	22	pollution	pollution	NOUN
ajst-8022	15	23	,	,	PUNCT
ajst-8022	15	24	such	such	ADJ
ajst-8022	15	25	as	as	ADP
ajst-8022	15	26	developing	develop	VERB
ajst-8022	15	27	policies	policy	NOUN
ajst-8022	15	28	to	to	PART
ajst-8022	15	29	reduce	reduce	VERB
ajst-8022	15	30	the	the	DET
ajst-8022	15	31	use	use	NOUN
ajst-8022	15	32	of	of	ADP
ajst-8022	15	33	artificial	artificial	ADJ
ajst-8022	15	34	light	light	NOUN
ajst-8022	15	35	,	,	PUNCT
ajst-8022	15	36	it	it	PRON
ajst-8022	15	37	may	may	AUX
ajst-8022	15	38	then	then	ADV
ajst-8022	15	39	provide	provide	VERB
ajst-8022	15	40	favorable	favorable	ADJ
ajst-8022	15	41	conditions	condition	NOUN
ajst-8022	15	42	for	for	SCONJ
ajst-8022	15	43	offenders	offender	NOUN
ajst-8022	15	44	to	to	PART
ajst-8022	15	45	increase	increase	VERB
ajst-8022	15	46	crime	crime	NOUN
ajst-8022	15	47	.	.	PUNCT
ajst-8022	16	1	at	at	ADP
ajst-8022	16	2	present	present	ADJ
ajst-8022	16	3	,	,	PUNCT
ajst-8022	16	4	in	in	ADP
ajst-8022	16	5	the	the	DET
ajst-8022	16	6	field	field	NOUN
ajst-8022	16	7	of	of	ADP
ajst-8022	16	8	light	light	ADJ
ajst-8022	16	9	environment	environment	NOUN
ajst-8022	16	10	research	research	NOUN
ajst-8022	16	11	,	,	PUNCT
ajst-8022	16	12	there	there	PRON
ajst-8022	16	13	are	be	VERB
ajst-8022	16	14	no	no	DET
ajst-8022	16	15	accurate	accurate	ADJ
ajst-8022	16	16	quantitative	quantitative	ADJ
ajst-8022	16	17	and	and	CCONJ
ajst-8022	16	18	evaluation	evaluation	NOUN
ajst-8022	16	19	standards	standard	NOUN
ajst-8022	16	20	for	for	ADP
ajst-8022	16	21	the	the	DET
ajst-8022	16	22	safety	safety	NOUN
ajst-8022	16	23	,	,	PUNCT
ajst-8022	16	24	comfort	comfort	NOUN
ajst-8022	16	25	,	,	PUNCT
ajst-8022	16	26	environmental	environmental	ADJ
ajst-8022	16	27	performance	performance	NOUN
ajst-8022	16	28	and	and	CCONJ
ajst-8022	16	29	health	health	NOUN
ajst-8022	16	30	requirements	requirement	NOUN
ajst-8022	16	31	of	of	ADP
ajst-8022	16	32	lighting	lighting	NOUN
ajst-8022	16	33	,	,	PUNCT
ajst-8022	16	34	which	which	PRON
ajst-8022	16	35	makes	make	VERB
ajst-8022	16	36	it	it	PRON
ajst-8022	16	37	impossible	impossible	ADJ
ajst-8022	16	38	to	to	PART
ajst-8022	16	39	evaluate	evaluate	VERB
ajst-8022	16	40	the	the	DET
ajst-8022	16	41	risk	risk	NOUN
ajst-8022	16	42	level	level	NOUN
ajst-8022	16	43	of	of	ADP
ajst-8022	16	44	light	light	ADJ
ajst-8022	16	45	pollution	pollution	NOUN
ajst-8022	16	46	in	in	ADP
ajst-8022	16	47	a	a	DET
ajst-8022	16	48	certain	certain	ADJ
ajst-8022	16	49	place	place	NOUN
ajst-8022	16	50	,	,	PUNCT
ajst-8022	16	51	and	and	CCONJ
ajst-8022	16	52	then	then	ADV
ajst-8022	16	53	it	it	PRON
ajst-8022	16	54	is	be	AUX
ajst-8022	16	55	impossible	impossible	ADJ
ajst-8022	16	56	to	to	PART
ajst-8022	16	57	propose	propose	VERB
ajst-8022	16	58	targeted	target	VERB
ajst-8022	16	59	strategies	strategy	NOUN
ajst-8022	16	60	to	to	PART
ajst-8022	16	61	deal	deal	VERB
ajst-8022	16	62	with	with	ADP
ajst-8022	16	63	light	light	ADJ
ajst-8022	16	64	pollution	pollution	NOUN
ajst-8022	16	65	in	in	ADP
ajst-8022	16	66	different	different	ADJ
ajst-8022	16	67	regions	region	NOUN
ajst-8022	16	68	.	.	PUNCT
ajst-8022	17	1	therefore	therefore	ADV
ajst-8022	17	2	,	,	PUNCT
ajst-8022	17	3	this	this	DET
ajst-8022	17	4	study	study	NOUN
ajst-8022	17	5	aims	aim	VERB
ajst-8022	17	6	to	to	PART
ajst-8022	17	7	establish	establish	VERB
ajst-8022	17	8	a	a	DET
ajst-8022	17	9	widely	widely	ADV
ajst-8022	17	10	applicable	applicable	ADJ
ajst-8022	17	11	light	light	ADJ
ajst-8022	17	12	pollution	pollution	NOUN
ajst-8022	17	13	evaluation	evaluation	NOUN
ajst-8022	17	14	index	index	NOUN
ajst-8022	17	15	system	system	NOUN
ajst-8022	17	16	to	to	PART
ajst-8022	17	17	determine	determine	VERB
ajst-8022	17	18	the	the	DET
ajst-8022	17	19	risk	risk	NOUN
ajst-8022	17	20	level	level	NOUN
ajst-8022	17	21	of	of	ADP
ajst-8022	17	22	light	light	ADJ
ajst-8022	17	23	pollution	pollution	NOUN
ajst-8022	17	24	in	in	ADP
ajst-8022	17	25	a	a	DET
ajst-8022	17	26	location	location	NOUN
ajst-8022	17	27	,	,	PUNCT
ajst-8022	17	28	which	which	PRON
ajst-8022	17	29	is	be	AUX
ajst-8022	17	30	helpful	helpful	ADJ
ajst-8022	17	31	to	to	PART
ajst-8022	17	32	help	help	VERB
ajst-8022	17	33	the	the	DET
ajst-8022	17	34	local	local	ADJ
ajst-8022	17	35	government	government	NOUN
ajst-8022	17	36	formulate	formulate	VERB
ajst-8022	17	37	corresponding	corresponding	ADJ
ajst-8022	17	38	intervention	intervention	NOUN
ajst-8022	17	39	strategies	strategy	NOUN
ajst-8022	17	40	to	to	PART
ajst-8022	17	41	mitigate	mitigate	VERB
ajst-8022	17	42	the	the	DET
ajst-8022	17	43	impact	impact	NOUN
ajst-8022	17	44	of	of	ADP
ajst-8022	17	45	light	light	ADJ
ajst-8022	17	46	pollution	pollution	NOUN
ajst-8022	17	47	.	.	PUNCT
ajst-8022	18	1	in	in	ADP
ajst-8022	18	2	this	this	DET
ajst-8022	18	3	study	study	NOUN
ajst-8022	18	4	,	,	PUNCT
ajst-8022	18	5	the	the	DET
ajst-8022	18	6	luminous	luminous	ADJ
ajst-8022	18	7	remote	remote	ADJ
ajst-8022	18	8	sensing	sense	VERB
ajst-8022	18	9	map	map	NOUN
ajst-8022	18	10	was	be	AUX
ajst-8022	18	11	processed	process	VERB
ajst-8022	18	12	to	to	PART
ajst-8022	18	13	obtain	obtain	VERB
ajst-8022	18	14	the	the	DET
ajst-8022	18	15	degree	degree	NOUN
ajst-8022	18	16	of	of	ADP
ajst-8022	18	17	light	light	ADJ
ajst-8022	18	18	pollution	pollution	NOUN
ajst-8022	18	19	in	in	ADP
ajst-8022	18	20	each	each	DET
ajst-8022	18	21	region	region	NOUN
ajst-8022	18	22	.	.	PUNCT
ajst-8022	19	1	then	then	ADV
ajst-8022	19	2	,	,	PUNCT
ajst-8022	19	3	spsspro	spsspro	ADJ
ajst-8022	19	4	is	be	AUX
ajst-8022	19	5	used	use	VERB
ajst-8022	19	6	to	to	PART
ajst-8022	19	7	analyze	analyze	VERB
ajst-8022	19	8	the	the	DET
ajst-8022	19	9	correlation	correlation	NOUN
ajst-8022	19	10	between	between	ADP
ajst-8022	19	11	the	the	DET
ajst-8022	19	12	influencing	influence	VERB
ajst-8022	19	13	factors	factor	NOUN
ajst-8022	19	14	and	and	CCONJ
ajst-8022	19	15	the	the	DET
ajst-8022	19	16	light	light	ADJ
ajst-8022	19	17	pollution	pollution	NOUN
ajst-8022	19	18	degree	degree	NOUN
ajst-8022	19	19	value	value	NOUN
ajst-8022	19	20	,	,	PUNCT
ajst-8022	19	21	and	and	CCONJ
ajst-8022	19	22	the	the	DET
ajst-8022	19	23	grey	grey	ADJ
ajst-8022	19	24	correlation	correlation	NOUN
ajst-8022	19	25	degree	degree	NOUN
ajst-8022	19	26	is	be	AUX
ajst-8022	19	27	obtained	obtain	VERB
ajst-8022	19	28	,	,	PUNCT
ajst-8022	19	29	and	and	CCONJ
ajst-8022	19	30	the	the	DET
ajst-8022	19	31	influencing	influence	VERB
ajst-8022	19	32	factors	factor	NOUN
ajst-8022	19	33	with	with	ADP
ajst-8022	19	34	large	large	ADJ
ajst-8022	19	35	correlation	correlation	NOUN
ajst-8022	19	36	are	be	AUX
ajst-8022	19	37	selected	select	VERB
ajst-8022	19	38	.	.	PUNCT
ajst-8022	20	1	secondly	secondly	ADV
ajst-8022	20	2	,	,	PUNCT
ajst-8022	20	3	the	the	DET
ajst-8022	20	4	bp	bp	PROPN
ajst-8022	20	5	neural	neural	PROPN
ajst-8022	20	6	network	network	NOUN
ajst-8022	20	7	algorithm	algorithm	NOUN
ajst-8022	20	8	is	be	AUX
ajst-8022	20	9	used	use	VERB
ajst-8022	20	10	to	to	PART
ajst-8022	20	11	find	find	VERB
ajst-8022	20	12	the	the	DET
ajst-8022	20	13	mapping	mapping	NOUN
ajst-8022	20	14	relationship	relationship	NOUN
ajst-8022	20	15	between	between	ADP
ajst-8022	20	16	the	the	DET
ajst-8022	20	17	influencing	influence	VERB
ajst-8022	20	18	factors	factor	NOUN
ajst-8022	20	19	and	and	CCONJ
ajst-8022	20	20	the	the	DET
ajst-8022	20	21	light	light	ADJ
ajst-8022	20	22	pollution	pollution	NOUN
ajst-8022	20	23	degree	degree	NOUN
ajst-8022	20	24	value	value	NOUN
ajst-8022	20	25	,	,	PUNCT
ajst-8022	20	26	and	and	CCONJ
ajst-8022	20	27	the	the	DET
ajst-8022	20	28	bp	bp	PROPN
ajst-8022	20	29	neural	neural	PROPN
ajst-8022	20	30	network	network	NOUN
ajst-8022	20	31	prediction	prediction	NOUN
ajst-8022	20	32	model	model	NOUN
ajst-8022	20	33	for	for	ADP
ajst-8022	20	34	predicting	predict	VERB
ajst-8022	20	35	the	the	DET
ajst-8022	20	36	light	light	ADJ
ajst-8022	20	37	pollution	pollution	NOUN
ajst-8022	20	38	degree	degree	NOUN
ajst-8022	20	39	of	of	ADP
ajst-8022	20	40	the	the	DET
ajst-8022	20	41	region	region	NOUN
ajst-8022	20	42	given	give	VERB
ajst-8022	20	43	the	the	DET
ajst-8022	20	44	influencing	influence	VERB
ajst-8022	20	45	factor	factor	NOUN
ajst-8022	20	46	value	value	NOUN
ajst-8022	20	47	in	in	ADP
ajst-8022	20	48	the	the	DET
ajst-8022	20	49	region	region	NOUN
ajst-8022	20	50	is	be	AUX
ajst-8022	20	51	established	establish	VERB
ajst-8022	20	52	.	.	PUNCT
ajst-8022	21	1	finally	finally	ADV
ajst-8022	21	2	,	,	PUNCT
ajst-8022	21	3	different	different	ADJ
ajst-8022	21	4	types	type	NOUN
ajst-8022	21	5	of	of	ADP
ajst-8022	21	6	sites	site	NOUN
ajst-8022	21	7	are	be	AUX
ajst-8022	21	8	selected	select	VERB
ajst-8022	21	9	to	to	PART
ajst-8022	21	10	test	test	VERB
ajst-8022	21	11	the	the	DET
ajst-8022	21	12	model	model	NOUN
ajst-8022	21	13	and	and	CCONJ
ajst-8022	21	14	analyze	analyze	VERB
ajst-8022	21	15	whether	whether	SCONJ
ajst-8022	21	16	the	the	DET
ajst-8022	21	17	model	model	NOUN
ajst-8022	21	18	is	be	AUX
ajst-8022	21	19	reasonable	reasonable	ADJ
ajst-8022	21	20	.	.	PUNCT
ajst-8022	22	1	the	the	DET
ajst-8022	22	2	model	model	NOUN
ajst-8022	22	3	creation	creation	NOUN
ajst-8022	22	4	process	process	NOUN
ajst-8022	22	5	is	be	AUX
ajst-8022	22	6	shown	show	VERB
ajst-8022	22	7	in	in	ADP
ajst-8022	22	8	figure	figure	NOUN
ajst-8022	22	9	1	1	NUM
ajst-8022	22	10	.	.	NOUN
ajst-8022	22	11	2	2	NUM
ajst-8022	22	12	.	.	X
ajst-8022	22	13	materials	material	NOUN
ajst-8022	22	14	and	and	CCONJ
ajst-8022	22	15	methods	method	NOUN
ajst-8022	22	16	2.1	2.1	NUM
ajst-8022	22	17	.	.	PUNCT
ajst-8022	23	1	data	datum	NOUN
ajst-8022	23	2	acquisition	acquisition	NOUN
ajst-8022	23	3	and	and	CCONJ
ajst-8022	23	4	preprocessing	preprocessing	NOUN
ajst-8022	23	5	in	in	ADP
ajst-8022	23	6	this	this	DET
ajst-8022	23	7	paper	paper	NOUN
ajst-8022	23	8	,	,	PUNCT
ajst-8022	23	9	a	a	DET
ajst-8022	23	10	model	model	NOUN
ajst-8022	23	11	is	be	AUX
ajst-8022	23	12	developed	develop	VERB
ajst-8022	23	13	to	to	PART
ajst-8022	23	14	predict	predict	VERB
ajst-8022	23	15	the	the	DET
ajst-8022	23	16	degree	degree	NOUN
ajst-8022	23	17	of	of	ADP
ajst-8022	23	18	light	light	ADJ
ajst-8022	23	19	pollution	pollution	NOUN
ajst-8022	23	20	based	base	VERB
ajst-8022	23	21	on	on	ADP
ajst-8022	23	22	given	give	VERB
ajst-8022	23	23	indicators	indicator	NOUN
ajst-8022	23	24	.	.	PUNCT
ajst-8022	24	1	in	in	ADP
ajst-8022	24	2	2018	2018	NUM
ajst-8022	24	3	,	,	PUNCT
ajst-8022	24	4	china	china	PROPN
ajst-8022	24	5	launched	launch	VERB
ajst-8022	24	6	the	the	DET
ajst-8022	24	7	world	world	NOUN
ajst-8022	24	8	's	's	PART
ajst-8022	24	9	first	first	ADJ
ajst-8022	24	10	professional	professional	ADJ
ajst-8022	24	11	luminous	luminous	ADJ
ajst-8022	24	12	remote	remote	ADJ
ajst-8022	24	13	sensing	sense	VERB
ajst-8022	24	14	satellite	satellite	NOUN
ajst-8022	24	15	,	,	PUNCT
ajst-8022	24	16	luojia	luojia	NOUN
ajst-8022	24	17	1	1	NUM
ajst-8022	24	18	(	(	PUNCT
ajst-8022	24	19	lj	lj	PROPN
ajst-8022	24	20	1	1	NUM
ajst-8022	24	21	-	-	NUM
ajst-8022	24	22	01	01	NUM
ajst-8022	24	23	)	)	PUNCT
ajst-8022	24	24	.	.	PUNCT
ajst-8022	25	1	the	the	DET
ajst-8022	25	2	satellite	satellite	NOUN
ajst-8022	25	3	provides	provide	VERB
ajst-8022	25	4	a	a	DET
ajst-8022	25	5	luminous	luminous	ADJ
ajst-8022	25	6	remote	remote	ADJ
ajst-8022	25	7	sensing	sense	VERB
ajst-8022	25	8	image	image	NOUN
ajst-8022	25	9	with	with	ADP
ajst-8022	25	10	a	a	DET
ajst-8022	25	11	resolution	resolution	NOUN
ajst-8022	25	12	of	of	ADP
ajst-8022	25	13	130	130	NUM
ajst-8022	25	14	m	m	NOUN
ajst-8022	25	15	,	,	PUNCT
ajst-8022	25	16	which	which	PRON
ajst-8022	25	17	greatly	greatly	ADV
ajst-8022	25	18	improves	improve	VERB
ajst-8022	25	19	the	the	DET
ajst-8022	25	20	resolution	resolution	NOUN
ajst-8022	25	21	compared	compare	VERB
ajst-8022	25	22	with	with	ADP
ajst-8022	25	23	dmsp	dmsp	ADJ
ajst-8022	25	24	and	and	CCONJ
ajst-8022	25	25	viirs	viir	NOUN
ajst-8022	25	26	,	,	PUNCT
ajst-8022	25	27	and	and	CCONJ
ajst-8022	25	28	makes	make	VERB
ajst-8022	25	29	it	it	PRON
ajst-8022	25	30	possible	possible	ADJ
ajst-8022	25	31	to	to	PART
ajst-8022	25	32	carry	carry	VERB
ajst-8022	25	33	out	out	ADP
ajst-8022	25	34	fine	fine	ADJ
ajst-8022	25	35	night	night	NOUN
ajst-8022	25	36	-	-	PUNCT
ajst-8022	25	37	time	time	NOUN
ajst-8022	25	38	light	light	ADJ
ajst-8022	25	39	pollution	pollution	NOUN
ajst-8022	25	40	monitoring	monitoring	NOUN
ajst-8022	25	41	at	at	ADP
ajst-8022	25	42	the	the	DET
ajst-8022	25	43	urban	urban	ADJ
ajst-8022	25	44	scale	scale	NOUN
ajst-8022	25	45	[	[	X
ajst-8022	25	46	3	3	NUM
ajst-8022	25	47	]	]	PUNCT
ajst-8022	25	48	.	.	PUNCT
ajst-8022	26	1	this	this	DET
ajst-8022	26	2	article	article	NOUN
ajst-8022	26	3	from	from	ADP
ajst-8022	26	4	http://59.175.109.173:8888/app/login.html	http://59.175.109.173:8888/app/login.html	PROPN
ajst-8022	26	5	for	for	ADP
ajst-8022	26	6	wuhan	wuhan	PROPN
ajst-8022	26	7	university	university	PROPN
ajst-8022	26	8	no	no	DET
ajst-8022	26	9	yoga	yoga	NOUN
ajst-8022	26	10	a	a	DET
ajst-8022	26	11	satellite	satellite	NOUN
ajst-8022	26	12	data	datum	NOUN
ajst-8022	26	13	night	night	NOUN
ajst-8022	26	14	lights	light	NOUN
ajst-8022	26	15	.	.	PUNCT
ajst-8022	27	1	as	as	SCONJ
ajst-8022	27	2	shown	show	VERB
ajst-8022	27	3	in	in	ADP
ajst-8022	27	4	figure	figure	NOUN
ajst-8022	27	5	2	2	NUM
ajst-8022	27	6	.	.	PUNCT
ajst-8022	27	7	get	get	VERB
ajst-8022	27	8	the	the	DET
ajst-8022	27	9	light	light	ADJ
ajst-8022	27	10	pollution	pollution	NOUN
ajst-8022	27	11	map	map	NOUN
ajst-8022	27	12	from	from	ADP
ajst-8022	27	13	the	the	DET
ajst-8022	27	14	light	light	ADJ
ajst-8022	27	15	pollution	pollution	NOUN
ajst-8022	27	16	map	map	NOUN
ajst-8022	27	17	(	(	PUNCT
ajst-8022	27	18	lightpollutionmap.info	lightpollutionmap.info	PROPN
ajst-8022	27	19	)	)	PUNCT
ajst-8022	27	20	as	as	SCONJ
ajst-8022	27	21	shown	show	VERB
ajst-8022	27	22	in	in	ADP
ajst-8022	27	23	figure	figure	NOUN
ajst-8022	27	24	2	2	NUM
ajst-8022	27	25	.	.	PUNCT
ajst-8022	28	1	the	the	DET
ajst-8022	28	2	grayscale	grayscale	NOUN
ajst-8022	28	3	processing	processing	NOUN
ajst-8022	28	4	and	and	CCONJ
ajst-8022	28	5	quantization	quantization	NOUN
ajst-8022	28	6	of	of	ADP
ajst-8022	28	7	the	the	DET
ajst-8022	28	8	night	night	NOUN
ajst-8022	28	9	remote	remote	ADJ
ajst-8022	28	10	sensing	sense	VERB
ajst-8022	28	11	map	map	NOUN
ajst-8022	28	12	were	be	AUX
ajst-8022	28	13	carried	carry	VERB
ajst-8022	28	14	out	out	ADP
ajst-8022	28	15	to	to	PART
ajst-8022	28	16	obtain	obtain	VERB
ajst-8022	28	17	the	the	DET
ajst-8022	28	18	light	light	ADJ
ajst-8022	28	19	pollution	pollution	NOUN
ajst-8022	28	20	degree	degree	NOUN
ajst-8022	28	21	of	of	ADP
ajst-8022	28	22	each	each	DET
ajst-8022	28	23	region	region	NOUN
ajst-8022	28	24	.	.	PUNCT
ajst-8022	29	1	in	in	ADP
ajst-8022	29	2	this	this	DET
ajst-8022	29	3	paper	paper	NOUN
ajst-8022	29	4	,	,	PUNCT
ajst-8022	29	5	we	we	PRON
ajst-8022	29	6	obtained	obtain	VERB
ajst-8022	29	7	the	the	DET
ajst-8022	29	8	pollutant	pollutant	ADJ
ajst-8022	29	9	nitrogen	nitrogen	NOUN
ajst-8022	29	10	oxide	oxide	NOUN
ajst-8022	29	11	emissions	emission	NOUN
ajst-8022	29	12	,	,	PUNCT
ajst-8022	29	13	pollutant	pollutant	ADJ
ajst-8022	29	14	particulate	particulate	NOUN
ajst-8022	29	15	emissions	emission	NOUN
ajst-8022	29	16	,	,	PUNCT
ajst-8022	29	17	245	245	NUM
ajst-8022	29	18	crop	crop	NOUN
ajst-8022	29	19	disaster	disaster	NOUN
ajst-8022	29	20	,	,	PUNCT
ajst-8022	29	21	environmental	environmental	ADJ
ajst-8022	29	22	emergencies	emergency	NOUN
ajst-8022	29	23	,	,	PUNCT
ajst-8022	29	24	tourism	tourism	NOUN
ajst-8022	29	25	,	,	PUNCT
ajst-8022	29	26	pollutant	pollutant	ADJ
ajst-8022	29	27	sulfur	sulfur	NOUN
ajst-8022	29	28	dioxide	dioxide	NOUN
ajst-8022	29	29	emissions	emission	NOUN
ajst-8022	29	30	,	,	PUNCT
ajst-8022	29	31	earthquake	earthquake	NOUN
ajst-8022	29	32	frequency	frequency	NOUN
ajst-8022	29	33	,	,	PUNCT
ajst-8022	29	34	forest	forest	NOUN
ajst-8022	29	35	coverage	coverage	NOUN
ajst-8022	29	36	rate	rate	NOUN
ajst-8022	29	37	,	,	PUNCT
ajst-8022	29	38	annual	annual	ADJ
ajst-8022	29	39	average	average	ADJ
ajst-8022	29	40	temperature	temperature	NOUN
ajst-8022	29	41	,	,	PUNCT
ajst-8022	29	42	population	population	NOUN
ajst-8022	29	43	density	density	NOUN
ajst-8022	29	44	,	,	PUNCT
ajst-8022	29	45	green	green	ADJ
ajst-8022	29	46	area	area	NOUN
ajst-8022	29	47	,	,	PUNCT
ajst-8022	29	48	air	air	NOUN
ajst-8022	29	49	quality	quality	NOUN
ajst-8022	29	50	in	in	ADP
ajst-8022	29	51	different	different	ADJ
ajst-8022	29	52	regions	region	NOUN
ajst-8022	29	53	through	through	ADP
ajst-8022	29	54	http://www.stats.gov.cn/.	http://www.stats.gov.cn/.	NUM
ajst-8022	29	55	gdp	gdp	NOUN
ajst-8022	29	56	value	value	NOUN
ajst-8022	29	57	as	as	ADP
ajst-8022	29	58	a	a	DET
ajst-8022	29	59	possible	possible	ADJ
ajst-8022	29	60	correlation	correlation	NOUN
ajst-8022	29	61	factor	factor	NOUN
ajst-8022	29	62	with	with	ADP
ajst-8022	29	63	light	light	ADJ
ajst-8022	29	64	pollution	pollution	NOUN
ajst-8022	29	65	.	.	PUNCT
ajst-8022	30	1	figure	figure	NOUN
ajst-8022	30	2	1	1	NUM
ajst-8022	30	3	.	.	PUNCT
ajst-8022	30	4	model	model	PROPN
ajst-8022	30	5	creation	creation	NOUN
ajst-8022	30	6	flowchart	flowchart	PROPN
ajst-8022	30	7	dimensionless	dimensionless	NOUN
ajst-8022	30	8	processing	processing	NOUN
ajst-8022	30	9	is	be	AUX
ajst-8022	30	10	carried	carry	VERB
ajst-8022	30	11	out	out	ADP
ajst-8022	30	12	for	for	ADP
ajst-8022	30	13	data	datum	NOUN
ajst-8022	30	14	of	of	ADP
ajst-8022	30	15	light	light	ADJ
ajst-8022	30	16	pollution	pollution	NOUN
ajst-8022	30	17	-	-	PUNCT
ajst-8022	30	18	related	relate	VERB
ajst-8022	30	19	factors	factor	NOUN
ajst-8022	30	20	.	.	PUNCT
ajst-8022	31	1	the	the	DET
ajst-8022	31	2	dimensionless	dimensionless	NOUN
ajst-8022	31	3	processing	processing	NOUN
ajst-8022	31	4	adopts	adopt	VERB
ajst-8022	31	5	mean	mean	NOUN
ajst-8022	31	6	value	value	NOUN
ajst-8022	31	7	and	and	CCONJ
ajst-8022	31	8	initial	initial	ADJ
ajst-8022	31	9	value	value	NOUN
ajst-8022	31	10	,	,	PUNCT
ajst-8022	31	11	which	which	PRON
ajst-8022	31	12	means	mean	VERB
ajst-8022	31	13	to	to	PART
ajst-8022	31	14	uniformly	uniformly	ADV
ajst-8022	31	15	divide	divide	VERB
ajst-8022	31	16	the	the	DET
ajst-8022	31	17	sequence	sequence	NOUN
ajst-8022	31	18	data	datum	NOUN
ajst-8022	31	19	by	by	ADP
ajst-8022	31	20	the	the	DET
ajst-8022	31	21	initial	initial	ADJ
ajst-8022	31	22	value	value	NOUN
ajst-8022	31	23	.	.	PUNCT
ajst-8022	32	1	since	since	SCONJ
ajst-8022	32	2	there	there	PRON
ajst-8022	32	3	is	be	VERB
ajst-8022	32	4	little	little	ADJ
ajst-8022	32	5	difference	difference	NOUN
ajst-8022	32	6	in	in	ADP
ajst-8022	32	7	the	the	DET
ajst-8022	32	8	magnitude	magnitude	NOUN
ajst-8022	32	9	of	of	ADP
ajst-8022	32	10	the	the	DET
ajst-8022	32	11	sequence	sequence	NOUN
ajst-8022	32	12	of	of	ADP
ajst-8022	32	13	the	the	DET
ajst-8022	32	14	same	same	ADJ
ajst-8022	32	15	factor	factor	NOUN
ajst-8022	32	16	,	,	PUNCT
ajst-8022	32	17	these	these	DET
ajst-8022	32	18	values	value	NOUN
ajst-8022	32	19	can	can	AUX
ajst-8022	32	20	be	be	AUX
ajst-8022	32	21	sorted	sort	VERB
ajst-8022	32	22	to	to	ADP
ajst-8022	32	23	the	the	DET
ajst-8022	32	24	magnitude	magnitude	NOUN
ajst-8022	32	25	of	of	ADP
ajst-8022	32	26	1	1	NUM
ajst-8022	32	27	by	by	ADP
ajst-8022	32	28	dividing	divide	VERB
ajst-8022	32	29	the	the	DET
ajst-8022	32	30	initial	initial	ADJ
ajst-8022	32	31	value	value	NOUN
ajst-8022	32	32	.	.	PUNCT
ajst-8022	33	1	since	since	SCONJ
ajst-8022	33	2	the	the	DET
ajst-8022	33	3	larger	large	ADJ
ajst-8022	33	4	order	order	NOUN
ajst-8022	33	5	of	of	ADP
ajst-8022	33	6	magnitude	magnitude	NOUN
ajst-8022	33	7	has	have	VERB
ajst-8022	33	8	a	a	DET
ajst-8022	33	9	larger	large	ADJ
ajst-8022	33	10	mean	mean	NOUN
ajst-8022	33	11	,	,	PUNCT
ajst-8022	33	12	it	it	PRON
ajst-8022	33	13	can	can	AUX
ajst-8022	33	14	be	be	AUX
ajst-8022	33	15	normalized	normalize	VERB
ajst-8022	33	16	to	to	ADP
ajst-8022	33	17	the	the	DET
ajst-8022	33	18	order	order	NOUN
ajst-8022	33	19	of	of	ADP
ajst-8022	33	20	1	1	NUM
ajst-8022	33	21	.	.	PUNCT
ajst-8022	33	22	initial	initial	ADJ
ajst-8022	33	23	value	value	NOUN
ajst-8022	33	24	processing	processing	NOUN
ajst-8022	33	25	:	:	PUNCT
ajst-8022	33	26	x	x	SYM
ajst-8022	34	1	k	k	X
ajst-8022	34	2	,	,	PUNCT
ajst-8022	34	3	k	k	PROPN
ajst-8022	34	4	1,2	1,2	NUM
ajst-8022	34	5	…	…	PUNCT
ajst-8022	34	6	n	n	CCONJ
ajst-8022	34	7	;	;	PUNCT
ajst-8022	34	8	i	i	PRON
ajst-8022	34	9	0,1,2	0,1,2	NOUN
ajst-8022	34	10	…	…	PUNCT
ajst-8022	34	11	m	m	VERB
ajst-8022	34	12	(	(	PUNCT
ajst-8022	34	13	1	1	X
ajst-8022	34	14	)	)	PUNCT
ajst-8022	34	15	averaging	averaging	NOUN
ajst-8022	34	16	:	:	PUNCT
ajst-8022	34	17	x	x	SYM
ajst-8022	34	18	k	k	X
ajst-8022	34	19	,	,	PUNCT
ajst-8022	34	20	k	k	PROPN
ajst-8022	34	21	1,2	1,2	NUM
ajst-8022	34	22	…	…	PUNCT
ajst-8022	34	23	n	n	CCONJ
ajst-8022	34	24	;	;	PUNCT
ajst-8022	34	25	i	i	PRON
ajst-8022	34	26	0,1,2	0,1,2	NOUN
ajst-8022	34	27	…	…	PUNCT
ajst-8022	34	28	m	m	VERB
ajst-8022	34	29	(	(	PUNCT
ajst-8022	34	30	2	2	NUM
ajst-8022	34	31	)	)	PUNCT
ajst-8022	34	32	figure	figure	NOUN
ajst-8022	34	33	2	2	NUM
ajst-8022	34	34	.	.	NOUN
ajst-8022	34	35	night	night	NOUN
ajst-8022	34	36	remote	remote	ADJ
ajst-8022	34	37	sensing	sense	VERB
ajst-8022	34	38	image	image	NOUN
ajst-8022	34	39	(	(	PUNCT
ajst-8022	34	40	left	leave	VERB
ajst-8022	34	41	)	)	PUNCT
ajst-8022	34	42	and	and	CCONJ
ajst-8022	34	43	light	light	ADJ
ajst-8022	34	44	pollution	pollution	NOUN
ajst-8022	34	45	image(right	image(right	PROPN
ajst-8022	34	46	)	)	PUNCT
ajst-8022	34	47	2.2	2.2	NUM
ajst-8022	34	48	.	.	PUNCT
ajst-8022	34	49	method	method	PROPN
ajst-8022	34	50	introduction	introduction	NOUN
ajst-8022	34	51	2.2.1	2.2.1	NUM
ajst-8022	34	52	.	.	PUNCT
ajst-8022	34	53	grey	grey	ADJ
ajst-8022	34	54	correlation	correlation	NOUN
ajst-8022	34	55	model	model	NOUN
ajst-8022	34	56	grey	grey	PROPN
ajst-8022	34	57	correlation	correlation	NOUN
ajst-8022	34	58	analysis	analysis	NOUN
ajst-8022	34	59	is	be	AUX
ajst-8022	34	60	the	the	DET
ajst-8022	34	61	correlation	correlation	NOUN
ajst-8022	34	62	coefficient	coefficient	NOUN
ajst-8022	34	63	analysis	analysis	NOUN
ajst-8022	34	64	in	in	ADP
ajst-8022	34	65	essence	essence	NOUN
ajst-8022	34	66	.	.	PUNCT
ajst-8022	35	1	firstly	firstly	ADV
ajst-8022	35	2	,	,	PUNCT
ajst-8022	35	3	the	the	DET
ajst-8022	35	4	correlation	correlation	NOUN
ajst-8022	35	5	coefficient	coefficient	NOUN
ajst-8022	35	6	of	of	ADP
ajst-8022	35	7	the	the	DET
ajst-8022	35	8	ideal	ideal	ADJ
ajst-8022	35	9	scheme	scheme	NOUN
ajst-8022	35	10	composed	compose	VERB
ajst-8022	35	11	of	of	ADP
ajst-8022	35	12	each	each	DET
ajst-8022	35	13	scheme	scheme	NOUN
ajst-8022	35	14	and	and	CCONJ
ajst-8022	35	15	the	the	DET
ajst-8022	35	16	best	good	ADJ
ajst-8022	35	17	index	index	NOUN
ajst-8022	35	18	is	be	AUX
ajst-8022	35	19	obtained	obtain	VERB
ajst-8022	35	20	from	from	ADP
ajst-8022	35	21	the	the	DET
ajst-8022	35	22	correlation	correlation	NOUN
ajst-8022	35	23	coefficient	coefficient	NOUN
ajst-8022	35	24	,	,	PUNCT
ajst-8022	35	25	and	and	CCONJ
ajst-8022	35	26	then	then	ADV
ajst-8022	35	27	the	the	DET
ajst-8022	35	28	correlation	correlation	NOUN
ajst-8022	35	29	degree	degree	NOUN
ajst-8022	35	30	is	be	AUX
ajst-8022	35	31	sorted	sort	VERB
ajst-8022	35	32	and	and	CCONJ
ajst-8022	35	33	analyzed	analyze	VERB
ajst-8022	35	34	according	accord	VERB
ajst-8022	35	35	to	to	ADP
ajst-8022	35	36	the	the	DET
ajst-8022	35	37	degree	degree	NOUN
ajst-8022	35	38	of	of	ADP
ajst-8022	35	39	correlation	correlation	NOUN
ajst-8022	35	40	,	,	PUNCT
ajst-8022	35	41	and	and	CCONJ
ajst-8022	35	42	the	the	DET
ajst-8022	35	43	conclusion	conclusion	NOUN
ajst-8022	35	44	is	be	AUX
ajst-8022	35	45	drawn	draw	VERB
ajst-8022	35	46	[	[	PUNCT
ajst-8022	35	47	4	4	NUM
ajst-8022	35	48	]	]	PUNCT
ajst-8022	35	49	.	.	PUNCT
ajst-8022	36	1	grey	grey	PROPN
ajst-8022	36	2	correlation	correlation	NOUN
ajst-8022	36	3	model	model	NOUN
ajst-8022	36	4	(	(	PUNCT
ajst-8022	36	5	gm	gm	PROPN
ajst-8022	36	6	)	)	PUNCT
ajst-8022	36	7	is	be	AUX
ajst-8022	36	8	a	a	DET
ajst-8022	36	9	mathematical	mathematical	ADJ
ajst-8022	36	10	model	model	NOUN
ajst-8022	36	11	used	use	VERB
ajst-8022	36	12	to	to	PART
ajst-8022	36	13	analyze	analyze	VERB
ajst-8022	36	14	data	datum	NOUN
ajst-8022	36	15	.	.	PUNCT
ajst-8022	37	1	grey	grey	ADJ
ajst-8022	37	2	correlation	correlation	NOUN
ajst-8022	37	3	analysis	analysis	NOUN
ajst-8022	37	4	is	be	AUX
ajst-8022	37	5	a	a	DET
ajst-8022	37	6	quantitative	quantitative	ADJ
ajst-8022	37	7	description	description	NOUN
ajst-8022	37	8	and	and	CCONJ
ajst-8022	37	9	comparison	comparison	NOUN
ajst-8022	37	10	method	method	NOUN
ajst-8022	37	11	for	for	ADP
ajst-8022	37	12	the	the	DET
ajst-8022	37	13	development	development	NOUN
ajst-8022	37	14	and	and	CCONJ
ajst-8022	37	15	change	change	NOUN
ajst-8022	37	16	of	of	ADP
ajst-8022	37	17	a	a	DET
ajst-8022	37	18	system	system	NOUN
ajst-8022	37	19	.	.	PUNCT
ajst-8022	38	1	its	its	PRON
ajst-8022	38	2	basic	basic	ADJ
ajst-8022	38	3	idea	idea	NOUN
ajst-8022	38	4	is	be	AUX
ajst-8022	38	5	to	to	PART
ajst-8022	38	6	determine	determine	VERB
ajst-8022	38	7	whether	whether	SCONJ
ajst-8022	38	8	the	the	DET
ajst-8022	38	9	relationship	relationship	NOUN
ajst-8022	38	10	between	between	ADP
ajst-8022	38	11	reference	reference	NOUN
ajst-8022	38	12	data	datum	NOUN
ajst-8022	38	13	columns	column	NOUN
ajst-8022	38	14	and	and	CCONJ
ajst-8022	38	15	several	several	ADJ
ajst-8022	38	16	comparative	comparative	ADJ
ajst-8022	38	17	data	datum	NOUN
ajst-8022	38	18	columns	column	NOUN
ajst-8022	38	19	is	be	AUX
ajst-8022	38	20	close	close	ADJ
ajst-8022	38	21	by	by	ADP
ajst-8022	38	22	determining	determine	VERB
ajst-8022	38	23	the	the	DET
ajst-8022	38	24	similarity	similarity	NOUN
ajst-8022	38	25	degree	degree	NOUN
ajst-8022	38	26	of	of	ADP
ajst-8022	38	27	their	their	PRON
ajst-8022	38	28	geometric	geometric	ADJ
ajst-8022	38	29	shapes	shape	NOUN
ajst-8022	38	30	.	.	PUNCT
ajst-8022	39	1	generally	generally	ADV
ajst-8022	39	2	,	,	PUNCT
ajst-8022	39	3	this	this	DET
ajst-8022	39	4	method	method	NOUN
ajst-8022	39	5	can	can	AUX
ajst-8022	39	6	be	be	AUX
ajst-8022	39	7	used	use	VERB
ajst-8022	39	8	to	to	PART
ajst-8022	39	9	analyze	analyze	VERB
ajst-8022	39	10	the	the	DET
ajst-8022	39	11	influence	influence	NOUN
ajst-8022	39	12	degree	degree	NOUN
ajst-8022	39	13	of	of	ADP
ajst-8022	39	14	various	various	ADJ
ajst-8022	39	15	factors	factor	NOUN
ajst-8022	39	16	on	on	ADP
ajst-8022	39	17	the	the	DET
ajst-8022	39	18	results	result	NOUN
ajst-8022	39	19	,	,	PUNCT
ajst-8022	39	20	and	and	CCONJ
ajst-8022	39	21	can	can	AUX
ajst-8022	39	22	also	also	ADV
ajst-8022	39	23	be	be	AUX
ajst-8022	39	24	used	use	VERB
ajst-8022	39	25	to	to	PART
ajst-8022	39	26	solve	solve	VERB
ajst-8022	39	27	the	the	DET
ajst-8022	39	28	problems	problem	NOUN
ajst-8022	39	29	of	of	ADP
ajst-8022	39	30	comprehensive	comprehensive	ADJ
ajst-8022	39	31	evaluation	evaluation	NOUN
ajst-8022	39	32	over	over	ADP
ajst-8022	39	33	time	time	NOUN
ajst-8022	39	34	.	.	PUNCT
ajst-8022	40	1	the	the	DET
ajst-8022	40	2	core	core	NOUN
ajst-8022	40	3	of	of	ADP
ajst-8022	40	4	this	this	DET
ajst-8022	40	5	method	method	NOUN
ajst-8022	40	6	is	be	AUX
ajst-8022	40	7	to	to	PART
ajst-8022	40	8	establish	establish	VERB
ajst-8022	40	9	the	the	DET
ajst-8022	40	10	parent	parent	NOUN
ajst-8022	40	11	sequence	sequence	NOUN
ajst-8022	40	12	over	over	ADP
ajst-8022	40	13	time	time	NOUN
ajst-8022	40	14	according	accord	VERB
ajst-8022	40	15	to	to	ADP
ajst-8022	40	16	certain	certain	ADJ
ajst-8022	40	17	rules	rule	NOUN
ajst-8022	40	18	,	,	PUNCT
ajst-8022	40	19	take	take	VERB
ajst-8022	40	20	the	the	DET
ajst-8022	40	21	changes	change	NOUN
ajst-8022	40	22	of	of	ADP
ajst-8022	40	23	each	each	DET
ajst-8022	40	24	evaluation	evaluation	NOUN
ajst-8022	40	25	object	object	NOUN
ajst-8022	40	26	over	over	ADP
ajst-8022	40	27	time	time	NOUN
ajst-8022	40	28	as	as	ADP
ajst-8022	40	29	the	the	DET
ajst-8022	40	30	sub	sub	NOUN
ajst-8022	40	31	-	-	NOUN
ajst-8022	40	32	sequence	sequence	NOUN
ajst-8022	40	33	,	,	PUNCT
ajst-8022	40	34	find	find	VERB
ajst-8022	40	35	the	the	DET
ajst-8022	40	36	correlation	correlation	NOUN
ajst-8022	40	37	degree	degree	NOUN
ajst-8022	40	38	between	between	ADP
ajst-8022	40	39	each	each	DET
ajst-8022	40	40	sub	sub	NOUN
ajst-8022	40	41	-	-	NOUN
ajst-8022	40	42	sequence	sequence	NOUN
ajst-8022	40	43	and	and	CCONJ
ajst-8022	40	44	the	the	DET
ajst-8022	40	45	parent	parent	NOUN
ajst-8022	40	46	sequence	sequence	NOUN
ajst-8022	40	47	,	,	PUNCT
ajst-8022	40	48	and	and	CCONJ
ajst-8022	40	49	draw	draw	VERB
ajst-8022	40	50	a	a	DET
ajst-8022	40	51	conclusion	conclusion	NOUN
ajst-8022	40	52	according	accord	VERB
ajst-8022	40	53	to	to	ADP
ajst-8022	40	54	the	the	DET
ajst-8022	40	55	correlation	correlation	NOUN
ajst-8022	40	56	degree	degree	NOUN
ajst-8022	40	57	.	.	PUNCT
ajst-8022	41	1	in	in	ADP
ajst-8022	41	2	data	data	NOUN
ajst-8022	41	3	analysis	analysis	NOUN
ajst-8022	41	4	,	,	PUNCT
ajst-8022	41	5	this	this	DET
ajst-8022	41	6	method	method	NOUN
ajst-8022	41	7	can	can	AUX
ajst-8022	41	8	be	be	AUX
ajst-8022	41	9	used	use	VERB
ajst-8022	41	10	to	to	PART
ajst-8022	41	11	study	study	VERB
ajst-8022	41	12	the	the	DET
ajst-8022	41	13	interactions	interaction	NOUN
ajst-8022	41	14	and	and	CCONJ
ajst-8022	41	15	effects	effect	NOUN
ajst-8022	41	16	of	of	ADP
ajst-8022	41	17	different	different	ADJ
ajst-8022	41	18	variables	variable	NOUN
ajst-8022	41	19	,	,	PUNCT
ajst-8022	41	20	as	as	ADV
ajst-8022	41	21	well	well	ADV
ajst-8022	41	22	as	as	ADP
ajst-8022	41	23	to	to	PART
ajst-8022	41	24	analyze	analyze	VERB
ajst-8022	41	25	future	future	ADJ
ajst-8022	41	26	trends	trend	NOUN
ajst-8022	41	27	and	and	CCONJ
ajst-8022	41	28	forecasts	forecast	NOUN
ajst-8022	41	29	.	.	PUNCT
ajst-8022	42	1	2.2.2	2.2.2	X
ajst-8022	42	2	.	.	X
ajst-8022	42	3	bp	bp	PROPN
ajst-8022	42	4	neural	neural	PROPN
ajst-8022	42	5	network	network	PROPN
ajst-8022	42	6	bp	bp	PROPN
ajst-8022	42	7	neural	neural	PROPN
ajst-8022	42	8	network	network	NOUN
ajst-8022	42	9	model	model	NOUN
ajst-8022	42	10	is	be	AUX
ajst-8022	42	11	a	a	DET
ajst-8022	42	12	widely	widely	ADV
ajst-8022	42	13	interconnected	interconnect	VERB
ajst-8022	42	14	neural	neural	ADJ
ajst-8022	42	15	network	network	NOUN
ajst-8022	42	16	composed	compose	VERB
ajst-8022	42	17	of	of	ADP
ajst-8022	42	18	multiple	multiple	ADJ
ajst-8022	42	19	neurons	neuron	NOUN
ajst-8022	42	20	,	,	PUNCT
ajst-8022	42	21	which	which	PRON
ajst-8022	42	22	can	can	AUX
ajst-8022	42	23	simulate	simulate	VERB
ajst-8022	42	24	the	the	DET
ajst-8022	42	25	interactive	interactive	ADJ
ajst-8022	42	26	response	response	NOUN
ajst-8022	42	27	of	of	ADP
ajst-8022	42	28	biological	biological	ADJ
ajst-8022	42	29	nervous	nervous	ADJ
ajst-8022	42	30	system	system	NOUN
ajst-8022	42	31	in	in	ADP
ajst-8022	42	32	the	the	DET
ajst-8022	42	33	real	real	ADJ
ajst-8022	42	34	world	world	NOUN
ajst-8022	42	35	and	and	CCONJ
ajst-8022	42	36	objects	object	NOUN
ajst-8022	42	37	.	.	PUNCT
ajst-8022	43	1	artificial	artificial	ADJ
ajst-8022	43	2	neural	neural	ADJ
ajst-8022	43	3	network	network	NOUN
ajst-8022	43	4	information	information	NOUN
ajst-8022	43	5	processing	processing	NOUN
ajst-8022	43	6	is	be	AUX
ajst-8022	43	7	to	to	PART
ajst-8022	43	8	train	train	VERB
ajst-8022	43	9	neural	neural	ADJ
ajst-8022	43	10	network	network	NOUN
ajst-8022	43	11	through	through	ADP
ajst-8022	43	12	information	information	NOUN
ajst-8022	43	13	samples	sample	NOUN
ajst-8022	43	14	,	,	PUNCT
ajst-8022	43	15	so	so	SCONJ
ajst-8022	43	16	that	that	SCONJ
ajst-8022	43	17	it	it	PRON
ajst-8022	43	18	has	have	VERB
ajst-8022	43	19	human	human	ADJ
ajst-8022	43	20	brain	brain	NOUN
ajst-8022	43	21	memory	memory	NOUN
ajst-8022	43	22	,	,	PUNCT
ajst-8022	43	23	recognition	recognition	NOUN
ajst-8022	43	24	ability	ability	NOUN
ajst-8022	43	25	,	,	PUNCT
ajst-8022	43	26	complete	complete	VERB
ajst-8022	43	27	various	various	ADJ
ajst-8022	43	28	information	information	NOUN
ajst-8022	43	29	processing	processing	NOUN
ajst-8022	43	30	functions	function	NOUN
ajst-8022	43	31	.	.	PUNCT
ajst-8022	44	1	it	it	PRON
ajst-8022	44	2	has	have	VERB
ajst-8022	44	3	good	good	ADJ
ajst-8022	44	4	abilities	ability	NOUN
ajst-8022	44	5	of	of	ADP
ajst-8022	44	6	self	self	NOUN
ajst-8022	44	7	-	-	PUNCT
ajst-8022	44	8	learning	learning	NOUN
ajst-8022	44	9	,	,	PUNCT
ajst-8022	44	10	adaptive	adaptive	ADJ
ajst-8022	44	11	,	,	PUNCT
ajst-8022	44	12	associative	associative	ADJ
ajst-8022	44	13	memory	memory	NOUN
ajst-8022	44	14	,	,	PUNCT
ajst-8022	44	15	parallel	parallel	ADJ
ajst-8022	44	16	processing	processing	NOUN
ajst-8022	44	17	and	and	CCONJ
ajst-8022	44	18	non	non	ADJ
ajst-8022	44	19	-	-	ADJ
ajst-8022	44	20	linear	linear	ADJ
ajst-8022	44	21	transformation	transformation	NOUN
ajst-8022	44	22	,	,	PUNCT
ajst-8022	44	23	avoids	avoid	VERB
ajst-8022	44	24	complex	complex	ADJ
ajst-8022	44	25	mathematical	mathematical	ADJ
ajst-8022	44	26	derivation	derivation	NOUN
ajst-8022	44	27	,	,	PUNCT
ajst-8022	44	28	and	and	CCONJ
ajst-8022	44	29	can	can	AUX
ajst-8022	44	30	still	still	ADV
ajst-8022	44	31	guarantee	guarantee	VERB
ajst-8022	44	32	stable	stable	ADJ
ajst-8022	44	33	output	output	NOUN
ajst-8022	44	34	in	in	ADP
ajst-8022	44	35	the	the	DET
ajst-8022	44	36	case	case	NOUN
ajst-8022	44	37	of	of	ADP
ajst-8022	44	38	sample	sample	NOUN
ajst-8022	44	39	defect	defect	NOUN
ajst-8022	44	40	and	and	CCONJ
ajst-8022	44	41	246	246	NUM
ajst-8022	44	42	parameter	parameter	NOUN
ajst-8022	44	43	drift	drift	NOUN
ajst-8022	44	44	.	.	PUNCT
ajst-8022	45	1	artificial	artificial	ADJ
ajst-8022	45	2	neural	neural	ADJ
ajst-8022	45	3	network	network	NOUN
ajst-8022	45	4	,	,	PUNCT
ajst-8022	45	5	which	which	PRON
ajst-8022	45	6	simulates	simulate	VERB
ajst-8022	45	7	human	human	ADJ
ajst-8022	45	8	brain	brain	NOUN
ajst-8022	45	9	intelligence	intelligence	NOUN
ajst-8022	45	10	,	,	PUNCT
ajst-8022	45	11	has	have	AUX
ajst-8022	45	12	been	be	AUX
ajst-8022	45	13	successfully	successfully	ADV
ajst-8022	45	14	applied	apply	VERB
ajst-8022	45	15	in	in	ADP
ajst-8022	45	16	many	many	ADJ
ajst-8022	45	17	fields	field	NOUN
ajst-8022	45	18	[	[	X
ajst-8022	45	19	5	5	NUM
ajst-8022	45	20	]	]	PUNCT
ajst-8022	45	21	.	.	PUNCT
ajst-8022	46	1	bp	bp	PROPN
ajst-8022	46	2	neural	neural	PROPN
ajst-8022	46	3	network	network	NOUN
ajst-8022	46	4	can	can	AUX
ajst-8022	46	5	be	be	AUX
ajst-8022	46	6	divided	divide	VERB
ajst-8022	46	7	into	into	ADP
ajst-8022	46	8	two	two	NUM
ajst-8022	46	9	parts	part	NOUN
ajst-8022	46	10	,	,	PUNCT
ajst-8022	46	11	bp	bp	PROPN
ajst-8022	46	12	and	and	CCONJ
ajst-8022	46	13	neural	neural	ADJ
ajst-8022	46	14	network	network	NOUN
ajst-8022	46	15	.	.	PUNCT
ajst-8022	47	1	bp	bp	PROPN
ajst-8022	47	2	is	be	AUX
ajst-8022	47	3	short	short	ADJ
ajst-8022	47	4	for	for	ADP
ajst-8022	47	5	back	back	ADJ
ajst-8022	47	6	propagation	propagation	NOUN
ajst-8022	47	7	,	,	PUNCT
ajst-8022	47	8	meaning	mean	VERB
ajst-8022	47	9	back	back	ADJ
ajst-8022	47	10	propagation	propagation	NOUN
ajst-8022	47	11	.	.	PUNCT
ajst-8022	48	1	bp	bp	PROPN
ajst-8022	48	2	network	network	PROPN
ajst-8022	48	3	can	can	AUX
ajst-8022	48	4	learn	learn	VERB
ajst-8022	48	5	and	and	CCONJ
ajst-8022	48	6	store	store	VERB
ajst-8022	48	7	a	a	DET
ajst-8022	48	8	large	large	ADJ
ajst-8022	48	9	number	number	NOUN
ajst-8022	48	10	of	of	ADP
ajst-8022	48	11	input	input	NOUN
ajst-8022	48	12	-	-	PUNCT
ajst-8022	48	13	output	output	NOUN
ajst-8022	48	14	mode	mode	NOUN
ajst-8022	48	15	mapping	mapping	NOUN
ajst-8022	48	16	relationships	relationship	NOUN
ajst-8022	48	17	without	without	ADP
ajst-8022	48	18	revealing	reveal	VERB
ajst-8022	48	19	the	the	DET
ajst-8022	48	20	mathematical	mathematical	ADJ
ajst-8022	48	21	equation	equation	NOUN
ajst-8022	48	22	describing	describe	VERB
ajst-8022	48	23	this	this	DET
ajst-8022	48	24	mapping	mapping	NOUN
ajst-8022	48	25	relationship	relationship	NOUN
ajst-8022	48	26	in	in	ADP
ajst-8022	48	27	advance	advance	NOUN
ajst-8022	48	28	.	.	PUNCT
ajst-8022	49	1	its	its	PRON
ajst-8022	49	2	learning	learning	NOUN
ajst-8022	49	3	rule	rule	NOUN
ajst-8022	49	4	is	be	AUX
ajst-8022	49	5	to	to	PART
ajst-8022	49	6	use	use	VERB
ajst-8022	49	7	the	the	DET
ajst-8022	49	8	fast	fast	ADJ
ajst-8022	49	9	descent	descent	NOUN
ajst-8022	49	10	method	method	NOUN
ajst-8022	49	11	,	,	PUNCT
ajst-8022	49	12	through	through	ADP
ajst-8022	49	13	back	back	ADJ
ajst-8022	49	14	propagation	propagation	NOUN
ajst-8022	49	15	to	to	PART
ajst-8022	49	16	constantly	constantly	ADV
ajst-8022	49	17	adjust	adjust	VERB
ajst-8022	49	18	the	the	DET
ajst-8022	49	19	weight	weight	NOUN
ajst-8022	49	20	and	and	CCONJ
ajst-8022	49	21	threshold	threshold	NOUN
ajst-8022	49	22	of	of	ADP
ajst-8022	49	23	the	the	DET
ajst-8022	49	24	network	network	NOUN
ajst-8022	49	25	,	,	PUNCT
ajst-8022	49	26	so	so	SCONJ
ajst-8022	49	27	as	as	SCONJ
ajst-8022	49	28	to	to	PART
ajst-8022	49	29	minimize	minimize	VERB
ajst-8022	49	30	the	the	DET
ajst-8022	49	31	sum	sum	NOUN
ajst-8022	49	32	of	of	ADP
ajst-8022	49	33	squares	square	NOUN
ajst-8022	49	34	of	of	ADP
ajst-8022	49	35	error	error	NOUN
ajst-8022	49	36	of	of	ADP
ajst-8022	49	37	the	the	DET
ajst-8022	49	38	network	network	NOUN
ajst-8022	49	39	.	.	PUNCT
ajst-8022	50	1	its	its	PRON
ajst-8022	50	2	main	main	ADJ
ajst-8022	50	3	characteristics	characteristic	NOUN
ajst-8022	50	4	are	be	AUX
ajst-8022	50	5	:	:	PUNCT
ajst-8022	50	6	the	the	DET
ajst-8022	50	7	signal	signal	NOUN
ajst-8022	50	8	is	be	AUX
ajst-8022	50	9	propagated	propagate	VERB
ajst-8022	50	10	forward	forward	ADV
ajst-8022	50	11	,	,	PUNCT
ajst-8022	50	12	and	and	CCONJ
ajst-8022	50	13	the	the	DET
ajst-8022	50	14	error	error	NOUN
ajst-8022	50	15	is	be	AUX
ajst-8022	50	16	propagated	propagate	VERB
ajst-8022	50	17	back	back	ADV
ajst-8022	50	18	.	.	PUNCT
ajst-8022	51	1	neural	neural	ADJ
ajst-8022	51	2	networks	network	NOUN
ajst-8022	51	3	,	,	PUNCT
ajst-8022	51	4	a	a	DET
ajst-8022	51	5	common	common	ADJ
ajst-8022	51	6	mathematical	mathematical	ADJ
ajst-8022	51	7	model	model	NOUN
ajst-8022	51	8	in	in	ADP
ajst-8022	51	9	machine	machine	NOUN
ajst-8022	51	10	learning	learning	NOUN
ajst-8022	51	11	,	,	PUNCT
ajst-8022	51	12	process	process	NOUN
ajst-8022	51	13	information	information	NOUN
ajst-8022	51	14	by	by	ADP
ajst-8022	51	15	building	build	VERB
ajst-8022	51	16	structures	structure	NOUN
ajst-8022	51	17	similar	similar	ADJ
ajst-8022	51	18	to	to	ADP
ajst-8022	51	19	synaptic	synaptic	ADJ
ajst-8022	51	20	connections	connection	NOUN
ajst-8022	51	21	in	in	ADP
ajst-8022	51	22	the	the	DET
ajst-8022	51	23	brain	brain	NOUN
ajst-8022	51	24	.	.	PUNCT
ajst-8022	52	1	in	in	ADP
ajst-8022	52	2	the	the	DET
ajst-8022	52	3	application	application	NOUN
ajst-8022	52	4	of	of	ADP
ajst-8022	52	5	neural	neural	ADJ
ajst-8022	52	6	network	network	NOUN
ajst-8022	52	7	,	,	PUNCT
ajst-8022	52	8	information	information	NOUN
ajst-8022	52	9	processing	processing	NOUN
ajst-8022	52	10	units	unit	NOUN
ajst-8022	52	11	are	be	AUX
ajst-8022	52	12	generally	generally	ADV
ajst-8022	52	13	divided	divide	VERB
ajst-8022	52	14	into	into	ADP
ajst-8022	52	15	three	three	NUM
ajst-8022	52	16	categories	category	NOUN
ajst-8022	52	17	:	:	PUNCT
ajst-8022	52	18	input	input	NOUN
ajst-8022	52	19	units	unit	NOUN
ajst-8022	52	20	,	,	PUNCT
ajst-8022	52	21	output	output	NOUN
ajst-8022	52	22	units	unit	NOUN
ajst-8022	52	23	and	and	CCONJ
ajst-8022	52	24	implicit	implicit	ADJ
ajst-8022	52	25	units	unit	NOUN
ajst-8022	52	26	.	.	PUNCT
ajst-8022	53	1	2.3	2.3	NUM
ajst-8022	53	2	.	.	PUNCT
ajst-8022	53	3	model	model	NOUN
ajst-8022	53	4	evaluation	evaluation	NOUN
ajst-8022	53	5	index	index	NOUN
ajst-8022	53	6	the	the	DET
ajst-8022	53	7	evaluation	evaluation	NOUN
ajst-8022	53	8	indexes	index	NOUN
ajst-8022	53	9	of	of	ADP
ajst-8022	53	10	the	the	DET
ajst-8022	53	11	model	model	NOUN
ajst-8022	53	12	in	in	ADP
ajst-8022	53	13	this	this	DET
ajst-8022	53	14	paper	paper	NOUN
ajst-8022	53	15	are	be	AUX
ajst-8022	53	16	sse	sse	NOUN
ajst-8022	53	17	squared	square	VERB
ajst-8022	53	18	error	error	NOUN
ajst-8022	53	19	,	,	PUNCT
ajst-8022	53	20	mae	mae	PROPN
ajst-8022	53	21	mean	mean	VERB
ajst-8022	53	22	absolute	absolute	ADJ
ajst-8022	53	23	error	error	NOUN
ajst-8022	53	24	,	,	PUNCT
ajst-8022	53	25	mse	mse	PROPN
ajst-8022	53	26	mean	mean	VERB
ajst-8022	53	27	square	square	NOUN
ajst-8022	53	28	error	error	NOUN
ajst-8022	53	29	,	,	PUNCT
ajst-8022	53	30	rmse	rmse	PROPN
ajst-8022	53	31	root	root	NOUN
ajst-8022	53	32	mean	mean	VERB
ajst-8022	53	33	square	square	ADJ
ajst-8022	53	34	error	error	NOUN
ajst-8022	53	35	and	and	CCONJ
ajst-8022	53	36	mape	mape	NOUN
ajst-8022	53	37	mean	mean	VERB
ajst-8022	53	38	percentage	percentage	NOUN
ajst-8022	53	39	error	error	NOUN
ajst-8022	53	40	.	.	PUNCT
ajst-8022	54	1	sse	sse	PROPN
ajst-8022	54	2	σ	σ	PROPN
ajst-8022	54	3	yᵢ	yᵢ	PROPN
ajst-8022	54	4	ȳ	ȳ	PROPN
ajst-8022	54	5	²	²	NUM
ajst-8022	54	6	(	(	PUNCT
ajst-8022	54	7	3	3	NUM
ajst-8022	54	8	)	)	PUNCT
ajst-8022	54	9	mse	mse	NOUN
ajst-8022	54	10	1	1	NUM
ajst-8022	54	11	/	/	SYM
ajst-8022	54	12	n	n	PROPN
ajst-8022	54	13	∗	∗	NOUN
ajst-8022	54	14	σ	σ	NOUN
ajst-8022	55	1	i	i	NOUN
ajst-8022	55	2	1	1	NUM
ajst-8022	55	3	to	to	ADP
ajst-8022	55	4	n	n	PRON
ajst-8022	55	5	yi	yi	X
ajst-8022	55	6	ŷi	ŷi	PROPN
ajst-8022	55	7	²	²	NUM
ajst-8022	55	8	(	(	PUNCT
ajst-8022	55	9	4	4	NUM
ajst-8022	55	10	)	)	PUNCT
ajst-8022	55	11	mae	mae	PROPN
ajst-8022	55	12	1	1	NUM
ajst-8022	55	13	/	/	SYM
ajst-8022	55	14	n	n	PROPN
ajst-8022	55	15	∗	∗	X
ajst-8022	55	16	σ|i	σ|i	PROPN
ajst-8022	55	17	1	1	NUM
ajst-8022	55	18	to	to	ADP
ajst-8022	55	19	n|	n|	NOUN
ajst-8022	55	20	|	|	ADV
ajst-8022	56	1	yi	yi	NOUN
ajst-8022	56	2	xi	xi	INTJ
ajst-8022	57	1	|	|	ADV
ajst-8022	57	2	(	(	PUNCT
ajst-8022	57	3	5	5	NUM
ajst-8022	57	4	)	)	PUNCT
ajst-8022	57	5	rmse	rmse	NOUN
ajst-8022	58	1	\sqrt	\sqrt	ADP
ajst-8022	58	2	\frac	\frac	PROPN
ajst-8022	58	3	1	1	NUM
ajst-8022	58	4	n	n	PRON
ajst-8022	58	5	\sum	\sum	NOUN
ajst-8022	58	6	_	_	PUNCT
ajst-8022	59	1	i	i	PRON
ajst-8022	59	2	1	1	NUM
ajst-8022	59	3	^	^	SYM
ajst-8022	59	4	n	n	NOUN
ajst-8022	59	5	y_i	y_i	NUM
ajst-8022	59	6	\hat	\hat	PROPN
ajst-8022	59	7	y_i	y_i	NOUN
ajst-8022	59	8	^2	^2	PUNCT
ajst-8022	59	9	(	(	PUNCT
ajst-8022	59	10	6	6	X
ajst-8022	59	11	)	)	PUNCT
ajst-8022	59	12	mpe	mpe	NOUN
ajst-8022	59	13	1	1	NUM
ajst-8022	59	14	/	/	SYM
ajst-8022	59	15	n	n	PROPN
ajst-8022	59	16	∗	∗	NOUN
ajst-8022	59	17	σ	σ	NOUN
ajst-8022	59	18	a_i	a_i	PROPN
ajst-8022	59	19	f_i	f_i	PROPN
ajst-8022	59	20	/a_i	/a_i	NOUN
ajst-8022	59	21	∗	∗	NOUN
ajst-8022	59	22	100	100	NUM
ajst-8022	59	23	%	%	NOUN
ajst-8022	59	24	(	(	PUNCT
ajst-8022	59	25	7	7	NUM
ajst-8022	59	26	)	)	SYM
ajst-8022	59	27	3	3	NUM
ajst-8022	59	28	.	.	PUNCT
ajst-8022	59	29	model	model	NOUN
ajst-8022	59	30	establishment	establishment	NOUN
ajst-8022	59	31	and	and	CCONJ
ajst-8022	59	32	solution	solution	NOUN
ajst-8022	59	33	3.1	3.1	NUM
ajst-8022	59	34	.	.	PUNCT
ajst-8022	60	1	the	the	DET
ajst-8022	60	2	establishment	establishment	NOUN
ajst-8022	60	3	of	of	ADP
ajst-8022	60	4	simulation	simulation	NOUN
ajst-8022	60	5	model	model	NOUN
ajst-8022	60	6	the	the	DET
ajst-8022	60	7	aim	aim	NOUN
ajst-8022	60	8	of	of	ADP
ajst-8022	60	9	this	this	DET
ajst-8022	60	10	study	study	NOUN
ajst-8022	60	11	is	be	AUX
ajst-8022	60	12	to	to	PART
ajst-8022	60	13	develop	develop	VERB
ajst-8022	60	14	a	a	DET
ajst-8022	60	15	broadly	broadly	ADV
ajst-8022	60	16	applicable	applicable	ADJ
ajst-8022	60	17	indicator	indicator	NOUN
ajst-8022	60	18	for	for	ADP
ajst-8022	60	19	determining	determine	VERB
ajst-8022	60	20	the	the	DET
ajst-8022	60	21	level	level	NOUN
ajst-8022	60	22	of	of	ADP
ajst-8022	60	23	risk	risk	NOUN
ajst-8022	60	24	at	at	ADP
ajst-8022	60	25	a	a	DET
ajst-8022	60	26	site	site	NOUN
ajst-8022	60	27	.	.	PUNCT
ajst-8022	61	1	the	the	DET
ajst-8022	61	2	grayscale	grayscale	NOUN
ajst-8022	61	3	processing	processing	NOUN
ajst-8022	61	4	was	be	AUX
ajst-8022	61	5	carried	carry	VERB
ajst-8022	61	6	out	out	ADP
ajst-8022	61	7	on	on	ADP
ajst-8022	61	8	the	the	DET
ajst-8022	61	9	night	night	NOUN
ajst-8022	61	10	remote	remote	ADJ
ajst-8022	61	11	sensing	sense	VERB
ajst-8022	61	12	monitoring	monitor	VERB
ajst-8022	61	13	image	image	NOUN
ajst-8022	61	14	,	,	PUNCT
ajst-8022	61	15	and	and	CCONJ
ajst-8022	61	16	the	the	DET
ajst-8022	61	17	color	color	NOUN
ajst-8022	61	18	value	value	NOUN
ajst-8022	61	19	of	of	ADP
ajst-8022	61	20	the	the	DET
ajst-8022	61	21	grayscale	grayscale	NOUN
ajst-8022	61	22	processing	processing	NOUN
ajst-8022	61	23	image	image	NOUN
ajst-8022	61	24	was	be	AUX
ajst-8022	61	25	quantified	quantify	VERB
ajst-8022	61	26	,	,	PUNCT
ajst-8022	61	27	and	and	CCONJ
ajst-8022	61	28	the	the	DET
ajst-8022	61	29	quantified	quantify	VERB
ajst-8022	61	30	value	value	NOUN
ajst-8022	61	31	represented	represent	VERB
ajst-8022	61	32	the	the	DET
ajst-8022	61	33	degree	degree	NOUN
ajst-8022	61	34	of	of	ADP
ajst-8022	61	35	light	light	ADJ
ajst-8022	61	36	pollution	pollution	NOUN
ajst-8022	61	37	.	.	PUNCT
ajst-8022	62	1	the	the	DET
ajst-8022	62	2	gray	gray	ADJ
ajst-8022	62	3	correlation	correlation	NOUN
ajst-8022	62	4	model	model	NOUN
ajst-8022	62	5	was	be	AUX
ajst-8022	62	6	used	use	VERB
ajst-8022	62	7	to	to	PART
ajst-8022	62	8	analyze	analyze	VERB
ajst-8022	62	9	whether	whether	SCONJ
ajst-8022	62	10	the	the	DET
ajst-8022	62	11	selected	select	VERB
ajst-8022	62	12	factors	factor	NOUN
ajst-8022	62	13	were	be	AUX
ajst-8022	62	14	associated	associate	VERB
ajst-8022	62	15	with	with	ADP
ajst-8022	62	16	light	light	ADJ
ajst-8022	62	17	pollution	pollution	NOUN
ajst-8022	62	18	,	,	PUNCT
ajst-8022	62	19	and	and	CCONJ
ajst-8022	62	20	the	the	DET
ajst-8022	62	21	factors	factor	NOUN
ajst-8022	62	22	with	with	ADP
ajst-8022	62	23	poor	poor	ADJ
ajst-8022	62	24	correlation	correlation	NOUN
ajst-8022	62	25	were	be	AUX
ajst-8022	62	26	eliminated	eliminate	VERB
ajst-8022	62	27	.	.	PUNCT
ajst-8022	63	1	then	then	ADV
ajst-8022	63	2	the	the	DET
ajst-8022	63	3	bp	bp	PROPN
ajst-8022	63	4	neural	neural	PROPN
ajst-8022	63	5	network	network	NOUN
ajst-8022	63	6	model	model	NOUN
ajst-8022	63	7	was	be	AUX
ajst-8022	63	8	used	use	VERB
ajst-8022	63	9	to	to	PART
ajst-8022	63	10	establish	establish	VERB
ajst-8022	63	11	the	the	DET
ajst-8022	63	12	mapping	mapping	NOUN
ajst-8022	63	13	relationship	relationship	NOUN
ajst-8022	63	14	between	between	ADP
ajst-8022	63	15	the	the	DET
ajst-8022	63	16	factors	factor	NOUN
ajst-8022	63	17	related	relate	VERB
ajst-8022	63	18	to	to	ADP
ajst-8022	63	19	light	light	ADJ
ajst-8022	63	20	pollution	pollution	NOUN
ajst-8022	63	21	and	and	CCONJ
ajst-8022	63	22	the	the	DET
ajst-8022	63	23	light	light	ADJ
ajst-8022	63	24	pollution	pollution	NOUN
ajst-8022	63	25	level	level	NOUN
ajst-8022	63	26	.	.	PUNCT
ajst-8022	64	1	finally	finally	ADV
ajst-8022	64	2	,	,	PUNCT
ajst-8022	64	3	the	the	DET
ajst-8022	64	4	light	light	ADJ
ajst-8022	64	5	pollution	pollution	NOUN
ajst-8022	64	6	risk	risk	NOUN
ajst-8022	64	7	level	level	NOUN
ajst-8022	64	8	is	be	AUX
ajst-8022	64	9	classified	classify	VERB
ajst-8022	64	10	.	.	PUNCT
ajst-8022	65	1	3.1.1	3.1.1	X
ajst-8022	65	2	.	.	PUNCT
ajst-8022	66	1	the	the	DET
ajst-8022	66	2	establishment	establishment	NOUN
ajst-8022	66	3	of	of	ADP
ajst-8022	66	4	grey	grey	PROPN
ajst-8022	66	5	relational	relational	ADJ
ajst-8022	66	6	model	model	NOUN
ajst-8022	66	7	after	after	ADP
ajst-8022	66	8	pretreatment	pretreatment	NOUN
ajst-8022	66	9	,	,	PUNCT
ajst-8022	66	10	relevant	relevant	ADJ
ajst-8022	66	11	factors	factor	NOUN
ajst-8022	66	12	such	such	ADJ
ajst-8022	66	13	as	as	ADP
ajst-8022	66	14	pollutant	pollutant	ADJ
ajst-8022	66	15	nitrogen	nitrogen	NOUN
ajst-8022	66	16	oxide	oxide	NOUN
ajst-8022	66	17	emissions	emission	NOUN
ajst-8022	66	18	,	,	PUNCT
ajst-8022	66	19	pollutant	pollutant	ADJ
ajst-8022	66	20	particulate	particulate	NOUN
ajst-8022	66	21	emissions	emission	NOUN
ajst-8022	66	22	,	,	PUNCT
ajst-8022	66	23	crop	crop	NOUN
ajst-8022	66	24	disaster	disaster	NOUN
ajst-8022	66	25	,	,	PUNCT
ajst-8022	66	26	number	number	NOUN
ajst-8022	66	27	of	of	ADP
ajst-8022	66	28	environmental	environmental	ADJ
ajst-8022	66	29	emergencies	emergency	NOUN
ajst-8022	66	30	,	,	PUNCT
ajst-8022	66	31	tourism	tourism	NOUN
ajst-8022	66	32	,	,	PUNCT
ajst-8022	66	33	pollutant	pollutant	ADJ
ajst-8022	66	34	sulfur	sulfur	NOUN
ajst-8022	66	35	dioxide	dioxide	NOUN
ajst-8022	66	36	emissions	emission	NOUN
ajst-8022	66	37	,	,	PUNCT
ajst-8022	66	38	number	number	NOUN
ajst-8022	66	39	of	of	ADP
ajst-8022	66	40	earthquakes	earthquake	NOUN
ajst-8022	66	41	,	,	PUNCT
ajst-8022	66	42	forest	forest	NOUN
ajst-8022	66	43	coverage	coverage	NOUN
ajst-8022	66	44	rate	rate	NOUN
ajst-8022	66	45	,	,	PUNCT
ajst-8022	66	46	annual	annual	ADJ
ajst-8022	66	47	average	average	ADJ
ajst-8022	66	48	temperature	temperature	NOUN
ajst-8022	66	49	,	,	PUNCT
ajst-8022	66	50	population	population	NOUN
ajst-8022	66	51	density	density	NOUN
ajst-8022	66	52	,	,	PUNCT
ajst-8022	66	53	green	green	ADJ
ajst-8022	66	54	area	area	NOUN
ajst-8022	66	55	,	,	PUNCT
ajst-8022	66	56	air	air	NOUN
ajst-8022	66	57	quality	quality	NOUN
ajst-8022	66	58	and	and	CCONJ
ajst-8022	66	59	gdp	gdp	NOUN
ajst-8022	66	60	are	be	AUX
ajst-8022	66	61	taken	take	VERB
ajst-8022	66	62	as	as	ADP
ajst-8022	66	63	characteristic	characteristic	ADJ
ajst-8022	66	64	sequence	sequence	NOUN
ajst-8022	66	65	variables	variable	NOUN
ajst-8022	66	66	.	.	PUNCT
ajst-8022	67	1	the	the	DET
ajst-8022	67	2	quantized	quantize	VERB
ajst-8022	67	3	luminous	luminous	ADJ
ajst-8022	67	4	remote	remote	ADJ
ajst-8022	67	5	sensing	sense	VERB
ajst-8022	67	6	data	datum	NOUN
ajst-8022	67	7	were	be	AUX
ajst-8022	67	8	taken	take	VERB
ajst-8022	67	9	as	as	ADP
ajst-8022	67	10	the	the	DET
ajst-8022	67	11	degree	degree	NOUN
ajst-8022	67	12	of	of	ADP
ajst-8022	67	13	light	light	ADJ
ajst-8022	67	14	pollution	pollution	NOUN
ajst-8022	67	15	,	,	PUNCT
ajst-8022	67	16	as	as	SCONJ
ajst-8022	67	17	the	the	DET
ajst-8022	67	18	parent	parent	NOUN
ajst-8022	67	19	sequence	sequence	NOUN
ajst-8022	67	20	variable	variable	NOUN
ajst-8022	67	21	,	,	PUNCT
ajst-8022	67	22	and	and	CCONJ
ajst-8022	67	23	the	the	DET
ajst-8022	67	24	region	region	NOUN
ajst-8022	67	25	as	as	ADP
ajst-8022	67	26	the	the	DET
ajst-8022	67	27	index	index	NOUN
ajst-8022	67	28	item	item	NOUN
ajst-8022	67	29	.	.	PUNCT
ajst-8022	68	1	find	find	VERB
ajst-8022	68	2	the	the	DET
ajst-8022	68	3	correlation	correlation	NOUN
ajst-8022	68	4	degree	degree	NOUN
ajst-8022	68	5	between	between	ADP
ajst-8022	68	6	each	each	DET
ajst-8022	68	7	subsequence	subsequence	NOUN
ajst-8022	68	8	and	and	CCONJ
ajst-8022	68	9	parent	parent	NOUN
ajst-8022	68	10	sequence	sequence	NOUN
ajst-8022	68	11	,	,	PUNCT
ajst-8022	68	12	and	and	CCONJ
ajst-8022	68	13	draw	draw	VERB
ajst-8022	68	14	a	a	DET
ajst-8022	68	15	conclusion	conclusion	NOUN
ajst-8022	68	16	according	accord	VERB
ajst-8022	68	17	to	to	ADP
ajst-8022	68	18	the	the	DET
ajst-8022	68	19	correlation	correlation	NOUN
ajst-8022	68	20	degree	degree	NOUN
ajst-8022	68	21	.	.	PUNCT
ajst-8022	69	1	the	the	DET
ajst-8022	69	2	establishment	establishment	NOUN
ajst-8022	69	3	process	process	NOUN
ajst-8022	69	4	of	of	ADP
ajst-8022	69	5	grey	grey	ADJ
ajst-8022	69	6	correlation	correlation	NOUN
ajst-8022	69	7	model	model	NOUN
ajst-8022	69	8	is	be	AUX
ajst-8022	69	9	shown	show	VERB
ajst-8022	69	10	in	in	ADP
ajst-8022	69	11	figure	figure	NOUN
ajst-8022	69	12	3	3	NUM
ajst-8022	69	13	.	.	PUNCT
ajst-8022	69	14	figure	figure	NOUN
ajst-8022	69	15	3	3	NUM
ajst-8022	69	16	.	.	PUNCT
ajst-8022	69	17	flow	flow	VERB
ajst-8022	69	18	chart	chart	NOUN
ajst-8022	69	19	of	of	ADP
ajst-8022	69	20	grey	grey	ADJ
ajst-8022	69	21	correlation	correlation	NOUN
ajst-8022	69	22	model	model	NOUN
ajst-8022	69	23	3.1.2	3.1.2	NUM
ajst-8022	69	24	.	.	PUNCT
ajst-8022	70	1	the	the	DET
ajst-8022	70	2	establishment	establishment	NOUN
ajst-8022	70	3	of	of	ADP
ajst-8022	70	4	bp	bp	PROPN
ajst-8022	70	5	neural	neural	PROPN
ajst-8022	70	6	network	network	NOUN
ajst-8022	70	7	model	model	NOUN
ajst-8022	70	8	firstly	firstly	ADV
ajst-8022	70	9	,	,	PUNCT
ajst-8022	70	10	the	the	DET
ajst-8022	70	11	relevant	relevant	ADJ
ajst-8022	70	12	factor	factor	NOUN
ajst-8022	70	13	data	datum	NOUN
ajst-8022	70	14	after	after	ADP
ajst-8022	70	15	elimination	elimination	NOUN
ajst-8022	70	16	is	be	AUX
ajst-8022	70	17	sorted	sort	VERB
ajst-8022	70	18	out	out	ADP
ajst-8022	70	19	,	,	PUNCT
ajst-8022	70	20	the	the	DET
ajst-8022	70	21	matlab	matlab	PROPN
ajst-8022	70	22	code	code	PROPN
ajst-8022	70	23	is	be	AUX
ajst-8022	70	24	written	write	VERB
ajst-8022	70	25	to	to	PART
ajst-8022	70	26	read	read	VERB
ajst-8022	70	27	the	the	DET
ajst-8022	70	28	data	datum	NOUN
ajst-8022	70	29	and	and	CCONJ
ajst-8022	70	30	load	load	VERB
ajst-8022	70	31	the	the	DET
ajst-8022	70	32	input	input	NOUN
ajst-8022	70	33	data	datum	NOUN
ajst-8022	70	34	.	.	PUNCT
ajst-8022	71	1	then	then	ADV
ajst-8022	71	2	,	,	PUNCT
ajst-8022	71	3	part	part	NOUN
ajst-8022	71	4	of	of	ADP
ajst-8022	71	5	the	the	DET
ajst-8022	71	6	data	datum	NOUN
ajst-8022	71	7	is	be	AUX
ajst-8022	71	8	taken	take	VERB
ajst-8022	71	9	as	as	SCONJ
ajst-8022	71	10	the	the	DET
ajst-8022	71	11	training	training	NOUN
ajst-8022	71	12	data	datum	NOUN
ajst-8022	71	13	and	and	CCONJ
ajst-8022	71	14	part	part	NOUN
ajst-8022	71	15	is	be	AUX
ajst-8022	71	16	taken	take	VERB
ajst-8022	71	17	as	as	ADP
ajst-8022	71	18	the	the	DET
ajst-8022	71	19	prediction	prediction	NOUN
ajst-8022	71	20	data	datum	NOUN
ajst-8022	71	21	.	.	PUNCT
ajst-8022	72	1	at	at	ADP
ajst-8022	72	2	the	the	DET
ajst-8022	72	3	same	same	ADJ
ajst-8022	72	4	time	time	NOUN
ajst-8022	72	5	,	,	PUNCT
ajst-8022	72	6	the	the	DET
ajst-8022	72	7	number	number	NOUN
ajst-8022	72	8	of	of	ADP
ajst-8022	72	9	nodes	node	NOUN
ajst-8022	72	10	in	in	ADP
ajst-8022	72	11	the	the	DET
ajst-8022	72	12	input	input	NOUN
ajst-8022	72	13	layer	layer	NOUN
ajst-8022	72	14	,	,	PUNCT
ajst-8022	72	15	the	the	DET
ajst-8022	72	16	number	number	NOUN
ajst-8022	72	17	of	of	ADP
ajst-8022	72	18	nodes	node	NOUN
ajst-8022	72	19	in	in	ADP
ajst-8022	72	20	the	the	DET
ajst-8022	72	21	hidden	hide	VERB
ajst-8022	72	22	layer	layer	NOUN
ajst-8022	72	23	and	and	CCONJ
ajst-8022	72	24	the	the	DET
ajst-8022	72	25	number	number	NOUN
ajst-8022	72	26	of	of	ADP
ajst-8022	72	27	nodes	node	NOUN
ajst-8022	72	28	in	in	ADP
ajst-8022	72	29	the	the	DET
ajst-8022	72	30	output	output	NOUN
ajst-8022	72	31	layer	layer	NOUN
ajst-8022	72	32	are	be	AUX
ajst-8022	72	33	set	set	VERB
ajst-8022	72	34	.	.	PUNCT
ajst-8022	73	1	input	input	NOUN
ajst-8022	73	2	weight	weight	NOUN
ajst-8022	73	3	and	and	CCONJ
ajst-8022	73	4	threshold	threshold	NOUN
ajst-8022	73	5	,	,	PUNCT
ajst-8022	73	6	configure	configure	NOUN
ajst-8022	73	7	training	training	NOUN
ajst-8022	73	8	times	time	NOUN
ajst-8022	73	9	,	,	PUNCT
ajst-8022	73	10	learning	learn	VERB
ajst-8022	73	11	rate	rate	NOUN
ajst-8022	73	12	,	,	PUNCT
ajst-8022	73	13	training	training	NOUN
ajst-8022	73	14	target	target	NOUN
ajst-8022	73	15	minimum	minimum	NOUN
ajst-8022	73	16	error	error	NOUN
ajst-8022	73	17	,	,	PUNCT
ajst-8022	73	18	etc	etc	X
ajst-8022	73	19	.	.	X
ajst-8022	73	20	,	,	PUNCT
ajst-8022	73	21	and	and	CCONJ
ajst-8022	73	22	then	then	ADV
ajst-8022	73	23	conduct	conduct	VERB
ajst-8022	73	24	neural	neural	ADJ
ajst-8022	73	25	network	network	NOUN
ajst-8022	73	26	training	training	NOUN
ajst-8022	73	27	,	,	PUNCT
ajst-8022	73	28	normalization	normalization	NOUN
ajst-8022	73	29	of	of	ADP
ajst-8022	73	30	test	test	NOUN
ajst-8022	73	31	samples	sample	NOUN
ajst-8022	73	32	,	,	PUNCT
ajst-8022	73	33	and	and	CCONJ
ajst-8022	73	34	finally	finally	ADV
ajst-8022	73	35	perform	perform	VERB
ajst-8022	73	36	bp	bp	PROPN
ajst-8022	73	37	neural	neural	ADJ
ajst-8022	73	38	network	network	NOUN
ajst-8022	73	39	prediction	prediction	NOUN
ajst-8022	73	40	.	.	PUNCT
ajst-8022	74	1	through	through	ADP
ajst-8022	74	2	the	the	DET
ajst-8022	74	3	above	above	ADJ
ajst-8022	74	4	steps	step	NOUN
ajst-8022	74	5	,	,	PUNCT
ajst-8022	74	6	bp	bp	PROPN
ajst-8022	74	7	neural	neural	PROPN
ajst-8022	74	8	network	network	PROPN
ajst-8022	74	9	code	code	NOUN
ajst-8022	74	10	is	be	AUX
ajst-8022	74	11	run	run	VERB
ajst-8022	74	12	through	through	ADP
ajst-8022	74	13	matlab	matlab	PROPN
ajst-8022	74	14	to	to	PART
ajst-8022	74	15	determine	determine	VERB
ajst-8022	74	16	the	the	DET
ajst-8022	74	17	best	well	ADV
ajst-8022	74	18	hidden	hidden	ADJ
ajst-8022	74	19	layer	layer	NOUN
ajst-8022	74	20	node	node	NOUN
ajst-8022	74	21	number	number	NOUN
ajst-8022	74	22	and	and	CCONJ
ajst-8022	74	23	various	various	ADJ
ajst-8022	74	24	error	error	NOUN
ajst-8022	74	25	indicators	indicator	NOUN
ajst-8022	74	26	,	,	PUNCT
ajst-8022	74	27	obtain	obtain	VERB
ajst-8022	74	28	the	the	DET
ajst-8022	74	29	prediction	prediction	NOUN
ajst-8022	74	30	error	error	NOUN
ajst-8022	74	31	of	of	ADP
ajst-8022	74	32	test	test	NOUN
ajst-8022	74	33	samples	sample	NOUN
ajst-8022	74	34	,	,	PUNCT
ajst-8022	74	35	and	and	CCONJ
ajst-8022	74	36	compare	compare	VERB
ajst-8022	74	37	with	with	ADP
ajst-8022	74	38	the	the	DET
ajst-8022	74	39	actual	actual	ADJ
ajst-8022	74	40	value	value	NOUN
ajst-8022	74	41	,	,	PUNCT
ajst-8022	74	42	and	and	CCONJ
ajst-8022	74	43	finally	finally	ADV
ajst-8022	74	44	determine	determine	VERB
ajst-8022	74	45	the	the	DET
ajst-8022	74	46	quantitative	quantitative	ADJ
ajst-8022	74	47	relationship	relationship	NOUN
ajst-8022	74	48	between	between	ADP
ajst-8022	74	49	relevant	relevant	ADJ
ajst-8022	74	50	factors	factor	NOUN
ajst-8022	74	51	and	and	CCONJ
ajst-8022	74	52	the	the	DET
ajst-8022	74	53	degree	degree	NOUN
ajst-8022	74	54	of	of	ADP
ajst-8022	74	55	light	light	ADJ
ajst-8022	74	56	pollution	pollution	NOUN
ajst-8022	74	57	.	.	PUNCT
ajst-8022	75	1	3.2	3.2	NUM
ajst-8022	75	2	.	.	PUNCT
ajst-8022	75	3	solution	solution	NOUN
ajst-8022	75	4	of	of	ADP
ajst-8022	75	5	model	model	NOUN
ajst-8022	75	6	3.2.1	3.2.1	NUM
ajst-8022	75	7	.	.	PUNCT
ajst-8022	76	1	the	the	DET
ajst-8022	76	2	solution	solution	NOUN
ajst-8022	76	3	of	of	ADP
ajst-8022	76	4	grey	grey	ADJ
ajst-8022	76	5	correlation	correlation	NOUN
ajst-8022	76	6	model	model	NOUN
ajst-8022	76	7	using	use	VERB
ajst-8022	76	8	spasspro	spasspro	PROPN
ajst-8022	76	9	,	,	PUNCT
ajst-8022	76	10	grey	grey	ADJ
ajst-8022	76	11	relation	relation	NOUN
ajst-8022	76	12	values	value	NOUN
ajst-8022	76	13	between	between	ADP
ajst-8022	76	14	parent	parent	NOUN
ajst-8022	76	15	sequence	sequence	NOUN
ajst-8022	76	16	and	and	CCONJ
ajst-8022	76	17	feature	feature	NOUN
ajst-8022	76	18	sequence	sequence	NOUN
ajst-8022	76	19	are	be	AUX
ajst-8022	76	20	solved	solve	VERB
ajst-8022	76	21	.	.	PUNCT
ajst-8022	77	1	as	as	SCONJ
ajst-8022	77	2	shown	show	VERB
ajst-8022	77	3	in	in	ADP
ajst-8022	77	4	figure	figure	NOUN
ajst-8022	77	5	4	4	NUM
ajst-8022	77	6	.	.	PUNCT
ajst-8022	78	1	𝜉	𝜉	PROPN
ajst-8022	79	1	𝑘	𝑘	INTJ
ajst-8022	80	1	|	|	ADV
ajst-8022	81	1	|	|	ADV
ajst-8022	82	1	|	|	INTJ
ajst-8022	83	1	|	|	INTJ
ajst-8022	84	1	|	|	INTJ
ajst-8022	85	1	|	|	INTJ
ajst-8022	85	2	|	|	ADV
ajst-8022	86	1	|	|	INTJ
ajst-8022	86	2	(	(	PUNCT
ajst-8022	86	3	8)	8)	NUM
ajst-8022	86	4	247	247	NUM
ajst-8022	86	5	figure	figure	NOUN
ajst-8022	86	6	4	4	NUM
ajst-8022	86	7	.	.	PUNCT
ajst-8022	87	1	grey	grey	ADJ
ajst-8022	87	2	correlation	correlation	NOUN
ajst-8022	87	3	coefficient	coefficient	NOUN
ajst-8022	87	4	solve	solve	VERB
ajst-8022	87	5	the	the	DET
ajst-8022	87	6	grey	grey	ADJ
ajst-8022	87	7	relational	relational	ADJ
ajst-8022	87	8	degree	degree	NOUN
ajst-8022	87	9	value	value	NOUN
ajst-8022	87	10	.	.	PUNCT
ajst-8022	88	1	𝑟	𝑟	X
ajst-8022	88	2	∑	∑	PUNCT
ajst-8022	88	3	𝜉	𝜉	PROPN
ajst-8022	88	4	𝑘	𝑘	PROPN
ajst-8022	88	5	,	,	PUNCT
ajst-8022	88	6	𝑘	𝑘	PROPN
ajst-8022	88	7	1,2	1,2	NUM
ajst-8022	88	8	,	,	PUNCT
ajst-8022	88	9	…	…	PUNCT
ajst-8022	88	10	𝑛	𝑛	X
ajst-8022	88	11	(	(	PUNCT
ajst-8022	88	12	9	9	NUM
ajst-8022	88	13	)	)	PUNCT
ajst-8022	88	14	table	table	NOUN
ajst-8022	88	15	1	1	NUM
ajst-8022	88	16	.	.	PUNCT
ajst-8022	88	17	correlation	correlation	NOUN
ajst-8022	88	18	degree	degree	NOUN
ajst-8022	88	19	result	result	NOUN
ajst-8022	88	20	table	table	NOUN
ajst-8022	88	21	evaluation	evaluation	NOUN
ajst-8022	88	22	degree	degree	NOUN
ajst-8022	88	23	of	of	ADP
ajst-8022	88	24	association	association	NOUN
ajst-8022	88	25	ranking	rank	VERB
ajst-8022	88	26	gdp	gdp	NOUN
ajst-8022	88	27	0.938	0.938	NUM
ajst-8022	88	28	1	1	NUM
ajst-8022	88	29	population	population	NOUN
ajst-8022	88	30	0.927	0.927	NUM
ajst-8022	88	31	2	2	NUM
ajst-8022	88	32	forest	forest	NOUN
ajst-8022	88	33	coverage	coverage	NOUN
ajst-8022	88	34	rate	rate	NOUN
ajst-8022	88	35	0.927	0.927	NUM
ajst-8022	88	36	3	3	NUM
ajst-8022	88	37	green	green	ADJ
ajst-8022	88	38	area	area	NOUN
ajst-8022	88	39	0.926	0.926	NUM
ajst-8022	88	40	4	4	NUM
ajst-8022	88	41	sulfur	sulfur	NOUN
ajst-8022	88	42	dioxide	dioxide	NOUN
ajst-8022	88	43	emission	emission	NOUN
ajst-8022	88	44	0.922	0.922	NUM
ajst-8022	88	45	5	5	NUM
ajst-8022	88	46	nitrogen	nitrogen	NOUN
ajst-8022	88	47	oxd	oxd	NOUN
ajst-8022	88	48	emission	emission	VERB
ajst-8022	88	49	0.881	0.881	NUM
ajst-8022	88	50	6	6	NUM
ajst-8022	88	51	air	air	NOUN
ajst-8022	88	52	quality	quality	NOUN
ajst-8022	88	53	0.874	0.874	NUM
ajst-8022	88	54	7	7	NUM
ajst-8022	88	55	pm2.5	pm2.5	NUM
ajst-8022	88	56	0.859	0.859	NUM
ajst-8022	88	57	8	8	NUM
ajst-8022	88	58	environmental	environmental	ADJ
ajst-8022	88	59	emergency	emergency	NOUN
ajst-8022	88	60	0.446	0.446	NUM
ajst-8022	88	61	9	9	NUM
ajst-8022	88	62	crop	crop	NOUN
ajst-8022	88	63	disaster	disaster	NOUN
ajst-8022	88	64	situation	situation	NOUN
ajst-8022	88	65	0.427	0.427	NUM
ajst-8022	88	66	10	10	NUM
ajst-8022	88	67	tourist	tourist	NOUN
ajst-8022	88	68	trade	trade	NOUN
ajst-8022	88	69	0.324	0.324	NUM
ajst-8022	88	70	11	11	NUM
ajst-8022	88	71	number	number	NOUN
ajst-8022	88	72	of	of	ADP
ajst-8022	88	73	earthquakes	earthquake	NOUN
ajst-8022	88	74	0.284	0.284	NUM
ajst-8022	88	75	12	12	NUM
ajst-8022	88	76	table	table	NOUN
ajst-8022	88	77	1	1	NUM
ajst-8022	88	78	shows	show	VERB
ajst-8022	88	79	the	the	DET
ajst-8022	88	80	correlation	correlation	NOUN
ajst-8022	88	81	degree	degree	NOUN
ajst-8022	88	82	between	between	ADP
ajst-8022	88	83	12	12	NUM
ajst-8022	88	84	related	related	ADJ
ajst-8022	88	85	factors	factor	NOUN
ajst-8022	88	86	and	and	CCONJ
ajst-8022	88	87	the	the	DET
ajst-8022	88	88	degree	degree	NOUN
ajst-8022	88	89	of	of	ADP
ajst-8022	88	90	light	light	ADJ
ajst-8022	88	91	pollution	pollution	NOUN
ajst-8022	88	92	,	,	PUNCT
ajst-8022	88	93	among	among	ADP
ajst-8022	88	94	which	which	PRON
ajst-8022	88	95	gdp	gdp	NOUN
ajst-8022	88	96	is	be	AUX
ajst-8022	88	97	the	the	DET
ajst-8022	88	98	most	most	ADV
ajst-8022	88	99	correlated	correlate	VERB
ajst-8022	88	100	with	with	ADP
ajst-8022	88	101	the	the	DET
ajst-8022	88	102	degree	degree	NOUN
ajst-8022	88	103	of	of	ADP
ajst-8022	88	104	light	light	ADJ
ajst-8022	88	105	pollution	pollution	NOUN
ajst-8022	88	106	,	,	PUNCT
ajst-8022	88	107	and	and	CCONJ
ajst-8022	88	108	the	the	DET
ajst-8022	88	109	number	number	NOUN
ajst-8022	88	110	of	of	ADP
ajst-8022	88	111	earthquakes	earthquake	NOUN
ajst-8022	88	112	is	be	AUX
ajst-8022	88	113	the	the	DET
ajst-8022	88	114	least	least	ADV
ajst-8022	88	115	correlated	correlate	VERB
ajst-8022	88	116	with	with	ADP
ajst-8022	88	117	the	the	DET
ajst-8022	88	118	degree	degree	NOUN
ajst-8022	88	119	of	of	ADP
ajst-8022	88	120	light	light	ADJ
ajst-8022	88	121	pollution	pollution	NOUN
ajst-8022	88	122	.	.	PUNCT
ajst-8022	89	1	the	the	DET
ajst-8022	89	2	correlation	correlation	NOUN
ajst-8022	89	3	degree	degree	NOUN
ajst-8022	89	4	of	of	ADP
ajst-8022	89	5	sudden	sudden	ADJ
ajst-8022	89	6	environmental	environmental	ADJ
ajst-8022	89	7	events	event	NOUN
ajst-8022	89	8	is	be	AUX
ajst-8022	89	9	0.446	0.446	NUM
ajst-8022	89	10	,	,	PUNCT
ajst-8022	89	11	that	that	PRON
ajst-8022	89	12	of	of	ADP
ajst-8022	89	13	agriculture	agriculture	NOUN
ajst-8022	89	14	as	as	ADP
ajst-8022	89	15	a	a	DET
ajst-8022	89	16	disaster	disaster	NOUN
ajst-8022	89	17	situation	situation	NOUN
ajst-8022	89	18	is	be	AUX
ajst-8022	89	19	0.427	0.427	NUM
ajst-8022	89	20	,	,	PUNCT
ajst-8022	89	21	that	that	PRON
ajst-8022	89	22	of	of	ADP
ajst-8022	89	23	tourism	tourism	NOUN
ajst-8022	89	24	is	be	AUX
ajst-8022	89	25	0.324	0.324	NUM
ajst-8022	89	26	,	,	PUNCT
ajst-8022	89	27	and	and	CCONJ
ajst-8022	89	28	that	that	PRON
ajst-8022	89	29	of	of	ADP
ajst-8022	89	30	the	the	DET
ajst-8022	89	31	number	number	NOUN
ajst-8022	89	32	of	of	ADP
ajst-8022	89	33	earthquakes	earthquake	NOUN
ajst-8022	89	34	is	be	AUX
ajst-8022	89	35	0.284	0.284	NUM
ajst-8022	89	36	,	,	PUNCT
ajst-8022	89	37	all	all	PRON
ajst-8022	89	38	of	of	ADP
ajst-8022	89	39	which	which	PRON
ajst-8022	89	40	are	be	AUX
ajst-8022	89	41	less	less	ADJ
ajst-8022	89	42	than	than	ADP
ajst-8022	89	43	0.5	0.5	NUM
ajst-8022	89	44	,	,	PUNCT
ajst-8022	89	45	indicating	indicate	VERB
ajst-8022	89	46	a	a	DET
ajst-8022	89	47	weak	weak	ADJ
ajst-8022	89	48	correlation	correlation	NOUN
ajst-8022	89	49	.	.	PUNCT
ajst-8022	90	1	in	in	ADP
ajst-8022	90	2	the	the	DET
ajst-8022	90	3	subsequent	subsequent	ADJ
ajst-8022	90	4	bp	bp	PROPN
ajst-8022	90	5	neural	neural	ADJ
ajst-8022	90	6	network	network	NOUN
ajst-8022	90	7	is	be	AUX
ajst-8022	90	8	used	use	VERB
ajst-8022	90	9	to	to	PART
ajst-8022	90	10	establish	establish	VERB
ajst-8022	90	11	correlation	correlation	NOUN
ajst-8022	90	12	factors	factor	NOUN
ajst-8022	90	13	and	and	CCONJ
ajst-8022	90	14	light	light	ADJ
ajst-8022	90	15	pollution	pollution	NOUN
ajst-8022	90	16	degree	degree	NOUN
ajst-8022	90	17	mapping	mapping	NOUN
ajst-8022	90	18	relationship	relationship	NOUN
ajst-8022	90	19	,	,	PUNCT
ajst-8022	90	20	environmental	environmental	ADJ
ajst-8022	90	21	emergencies	emergency	NOUN
ajst-8022	90	22	,	,	PUNCT
ajst-8022	90	23	crop	crop	NOUN
ajst-8022	90	24	damage	damage	NOUN
ajst-8022	90	25	,	,	PUNCT
ajst-8022	90	26	tourism	tourism	NOUN
ajst-8022	90	27	and	and	CCONJ
ajst-8022	90	28	earthquake	earthquake	NOUN
ajst-8022	90	29	frequency	frequency	NOUN
ajst-8022	90	30	are	be	AUX
ajst-8022	90	31	excluded	exclude	VERB
ajst-8022	90	32	.	.	PUNCT
ajst-8022	91	1	3.2.2	3.2.2	X
ajst-8022	91	2	.	.	PUNCT
ajst-8022	92	1	the	the	DET
ajst-8022	92	2	solution	solution	NOUN
ajst-8022	92	3	of	of	ADP
ajst-8022	92	4	bp	bp	PROPN
ajst-8022	92	5	neural	neural	PROPN
ajst-8022	92	6	network	network	NOUN
ajst-8022	92	7	model	model	NOUN
ajst-8022	92	8	when	when	SCONJ
ajst-8022	92	9	bp	bp	PROPN
ajst-8022	92	10	neural	neural	ADJ
ajst-8022	92	11	network	network	NOUN
ajst-8022	92	12	is	be	AUX
ajst-8022	92	13	used	use	VERB
ajst-8022	92	14	for	for	ADP
ajst-8022	92	15	training	training	NOUN
ajst-8022	92	16	,	,	PUNCT
ajst-8022	92	17	when	when	SCONJ
ajst-8022	92	18	the	the	DET
ajst-8022	92	19	optimal	optimal	ADJ
ajst-8022	92	20	number	number	NOUN
ajst-8022	92	21	of	of	ADP
ajst-8022	92	22	hidden	hide	VERB
ajst-8022	92	23	nodes	node	NOUN
ajst-8022	92	24	is	be	AUX
ajst-8022	92	25	9	9	NUM
ajst-8022	92	26	,	,	PUNCT
ajst-8022	92	27	the	the	DET
ajst-8022	92	28	minimum	minimum	ADJ
ajst-8022	92	29	mean	mean	NOUN
ajst-8022	92	30	square	square	NOUN
ajst-8022	92	31	error	error	NOUN
ajst-8022	92	32	is	be	AUX
ajst-8022	92	33	0.020384	0.020384	NUM
ajst-8022	92	34	.	.	PUNCT
ajst-8022	93	1	therefore	therefore	ADV
ajst-8022	93	2	,	,	PUNCT
ajst-8022	93	3	the	the	DET
ajst-8022	93	4	number	number	NOUN
ajst-8022	93	5	of	of	ADP
ajst-8022	93	6	hidden	hide	VERB
ajst-8022	93	7	nodes	node	NOUN
ajst-8022	93	8	is	be	AUX
ajst-8022	93	9	9	9	NUM
ajst-8022	93	10	in	in	ADP
ajst-8022	93	11	subsequent	subsequent	ADJ
ajst-8022	93	12	calculation	calculation	NOUN
ajst-8022	93	13	to	to	PART
ajst-8022	93	14	ensure	ensure	VERB
ajst-8022	93	15	accuracy	accuracy	NOUN
ajst-8022	93	16	.	.	PUNCT
ajst-8022	94	1	the	the	DET
ajst-8022	94	2	prediction	prediction	NOUN
ajst-8022	94	3	error	error	NOUN
ajst-8022	94	4	of	of	ADP
ajst-8022	94	5	the	the	DET
ajst-8022	94	6	test	test	NOUN
ajst-8022	94	7	sample	sample	NOUN
ajst-8022	94	8	of	of	ADP
ajst-8022	94	9	the	the	DET
ajst-8022	94	10	trained	train	VERB
ajst-8022	94	11	neural	neural	ADJ
ajst-8022	94	12	network	network	NOUN
ajst-8022	94	13	model	model	NOUN
ajst-8022	94	14	fluctuates	fluctuate	VERB
ajst-8022	94	15	around	around	ADP
ajst-8022	94	16	the	the	DET
ajst-8022	94	17	actual	actual	ADJ
ajst-8022	94	18	value	value	NOUN
ajst-8022	94	19	,	,	PUNCT
ajst-8022	94	20	as	as	SCONJ
ajst-8022	94	21	shown	show	VERB
ajst-8022	94	22	in	in	ADP
ajst-8022	94	23	table	table	NOUN
ajst-8022	94	24	2	2	NUM
ajst-8022	94	25	,	,	PUNCT
ajst-8022	94	26	whose	whose	DET
ajst-8022	94	27	sum	sum	NOUN
ajst-8022	94	28	of	of	ADP
ajst-8022	94	29	error	error	NOUN
ajst-8022	94	30	squares	square	NOUN
ajst-8022	94	31	sse	sse	PROPN
ajst-8022	94	32	is	be	AUX
ajst-8022	94	33	16.4838	16.4838	NUM
ajst-8022	94	34	,	,	PUNCT
ajst-8022	94	35	mean	mean	ADJ
ajst-8022	94	36	absolute	absolute	ADJ
ajst-8022	94	37	error	error	NOUN
ajst-8022	94	38	mae	mae	PROPN
ajst-8022	94	39	is	be	AUX
ajst-8022	94	40	1.0661	1.0661	NUM
ajst-8022	94	41	,	,	PUNCT
ajst-8022	94	42	mean	mean	ADJ
ajst-8022	94	43	square	square	ADJ
ajst-8022	94	44	error	error	NOUN
ajst-8022	94	45	mse	mse	NOUN
ajst-8022	94	46	is	be	AUX
ajst-8022	94	47	1.4985	1.4985	NUM
ajst-8022	94	48	,	,	PUNCT
ajst-8022	94	49	and	and	CCONJ
ajst-8022	94	50	root	root	NOUN
ajst-8022	94	51	mean	mean	ADJ
ajst-8022	94	52	square	square	ADJ
ajst-8022	94	53	error	error	NOUN
ajst-8022	94	54	rmse	rmse	NOUN
ajst-8022	94	55	is	be	AUX
ajst-8022	94	56	1.2241	1.2241	NUM
ajst-8022	94	57	.	.	PUNCT
ajst-8022	95	1	the	the	DET
ajst-8022	95	2	average	average	ADJ
ajst-8022	95	3	percentage	percentage	NOUN
ajst-8022	95	4	error	error	NOUN
ajst-8022	95	5	mape	mape	NOUN
ajst-8022	95	6	is	be	AUX
ajst-8022	95	7	17.1451	17.1451	NUM
ajst-8022	95	8	%	%	NOUN
ajst-8022	95	9	,	,	PUNCT
ajst-8022	95	10	the	the	DET
ajst-8022	95	11	correlation	correlation	NOUN
ajst-8022	95	12	coefficient	coefficient	NOUN
ajst-8022	95	13	is	be	AUX
ajst-8022	95	14	0.78294	0.78294	NUM
ajst-8022	95	15	,	,	PUNCT
ajst-8022	95	16	and	and	CCONJ
ajst-8022	95	17	the	the	DET
ajst-8022	95	18	prediction	prediction	NOUN
ajst-8022	95	19	accuracy	accuracy	NOUN
ajst-8022	95	20	is	be	AUX
ajst-8022	95	21	82.8549	82.8549	NUM
ajst-8022	95	22	%	%	NOUN
ajst-8022	95	23	,	,	PUNCT
ajst-8022	95	24	reaching	reach	VERB
ajst-8022	95	25	80	80	NUM
ajst-8022	95	26	%	%	NOUN
ajst-8022	95	27	.	.	PUNCT
ajst-8022	96	1	the	the	DET
ajst-8022	96	2	established	establish	VERB
ajst-8022	96	3	model	model	NOUN
ajst-8022	96	4	meets	meet	VERB
ajst-8022	96	5	the	the	DET
ajst-8022	96	6	requirements	requirement	NOUN
ajst-8022	96	7	of	of	ADP
ajst-8022	96	8	wide	wide	ADJ
ajst-8022	96	9	application	application	NOUN
ajst-8022	96	10	.	.	PUNCT
ajst-8022	97	1	the	the	DET
ajst-8022	97	2	light	light	ADJ
ajst-8022	97	3	pollution	pollution	NOUN
ajst-8022	97	4	risk	risk	NOUN
ajst-8022	97	5	level	level	NOUN
ajst-8022	97	6	is	be	AUX
ajst-8022	97	7	divided	divide	VERB
ajst-8022	97	8	into	into	ADP
ajst-8022	97	9	four	four	NUM
ajst-8022	97	10	levels	level	NOUN
ajst-8022	97	11	:	:	PUNCT
ajst-8022	97	12	a	a	DET
ajst-8022	97	13	,	,	PUNCT
ajst-8022	97	14	b	b	NOUN
ajst-8022	97	15	,	,	PUNCT
ajst-8022	97	16	c	c	NOUN
ajst-8022	97	17	,	,	PUNCT
ajst-8022	97	18	and	and	CCONJ
ajst-8022	97	19	d.	d.	PROPN
ajst-8022	97	20	a	a	PRON
ajst-8022	97	21	indicates	indicate	VERB
ajst-8022	97	22	low	low	ADJ
ajst-8022	97	23	light	light	ADJ
ajst-8022	97	24	pollution	pollution	NOUN
ajst-8022	97	25	risk	risk	NOUN
ajst-8022	97	26	level	level	NOUN
ajst-8022	97	27	,	,	PUNCT
ajst-8022	97	28	b	b	NOUN
ajst-8022	97	29	indicates	indicate	VERB
ajst-8022	97	30	medium	medium	ADJ
ajst-8022	97	31	light	light	ADJ
ajst-8022	97	32	pollution	pollution	NOUN
ajst-8022	97	33	risk	risk	NOUN
ajst-8022	97	34	level	level	NOUN
ajst-8022	97	35	,	,	PUNCT
ajst-8022	97	36	c	c	PROPN
ajst-8022	97	37	indicates	indicate	VERB
ajst-8022	97	38	higher	high	ADJ
ajst-8022	97	39	light	light	ADJ
ajst-8022	97	40	pollution	pollution	NOUN
ajst-8022	97	41	risk	risk	NOUN
ajst-8022	97	42	level	level	NOUN
ajst-8022	97	43	,	,	PUNCT
ajst-8022	97	44	and	and	CCONJ
ajst-8022	97	45	d	d	NOUN
ajst-8022	97	46	indicates	indicate	VERB
ajst-8022	97	47	higher	high	ADJ
ajst-8022	97	48	light	light	ADJ
ajst-8022	97	49	pollution	pollution	NOUN
ajst-8022	97	50	risk	risk	NOUN
ajst-8022	97	51	level	level	NOUN
ajst-8022	97	52	.	.	PUNCT
ajst-8022	98	1	(	(	PUNCT
ajst-8022	98	2	a	a	X
ajst-8022	98	3	:	:	PUNCT
ajst-8022	98	4	0~1	0~1	NUM
ajst-8022	98	5	,	,	PUNCT
ajst-8022	98	6	b	b	NOUN
ajst-8022	98	7	:	:	PUNCT
ajst-8022	98	8	2~4	2~4	NUM
ajst-8022	98	9	,	,	PUNCT
ajst-8022	98	10	c	c	NOUN
ajst-8022	98	11	:	:	PUNCT
ajst-8022	98	12	5~7	5~7	NUM
ajst-8022	98	13	,	,	PUNCT
ajst-8022	98	14	d	d	NOUN
ajst-8022	98	15	:	:	PUNCT
ajst-8022	98	16	8~9	8~9	NUM
ajst-8022	98	17	,	,	PUNCT
ajst-8022	98	18	the	the	DET
ajst-8022	98	19	number	number	NOUN
ajst-8022	98	20	represents	represent	VERB
ajst-8022	98	21	the	the	DET
ajst-8022	98	22	light	light	ADJ
ajst-8022	98	23	pollution	pollution	NOUN
ajst-8022	98	24	value	value	NOUN
ajst-8022	98	25	)	)	PUNCT
ajst-8022	98	26	table	table	NOUN
ajst-8022	98	27	2	2	NUM
ajst-8022	98	28	.	.	PUNCT
ajst-8022	98	29	table	table	NOUN
ajst-8022	98	30	of	of	ADP
ajst-8022	98	31	error	error	NOUN
ajst-8022	98	32	indicators	indicator	NOUN
ajst-8022	98	33	error	error	NOUN
ajst-8022	98	34	indicator	indicator	NOUN
ajst-8022	98	35	result	result	VERB
ajst-8022	98	36	sse	sse	PROPN
ajst-8022	98	37	16.4838	16.4838	NUM
ajst-8022	98	38	mae	mae	PROPN
ajst-8022	98	39	1.0661	1.0661	NUM
ajst-8022	98	40	mse	mse	NOUN
ajst-8022	98	41	1.4985	1.4985	NUM
ajst-8022	98	42	rmse	rmse	NOUN
ajst-8022	98	43	1.2241	1.2241	NUM
ajst-8022	98	44	mape	mape	NOUN
ajst-8022	98	45	17.1451	17.1451	NUM
ajst-8022	98	46	%	%	NOUN
ajst-8022	98	47	forecast	forecast	NOUN
ajst-8022	98	48	accuracy	accuracy	NOUN
ajst-8022	98	49	82.8549	82.8549	NUM
ajst-8022	98	50	%	%	NOUN
ajst-8022	98	51	coefficient	coefficient	NOUN
ajst-8022	98	52	of	of	ADP
ajst-8022	98	53	association	association	NOUN
ajst-8022	98	54	0.7829	0.7829	NUM
ajst-8022	98	55	3.3	3.3	NUM
ajst-8022	98	56	.	.	PUNCT
ajst-8022	99	1	test	test	NOUN
ajst-8022	99	2	of	of	ADP
ajst-8022	99	3	model	model	NOUN
ajst-8022	99	4	considering	consider	VERB
ajst-8022	99	5	that	that	SCONJ
ajst-8022	99	6	light	light	ADJ
ajst-8022	99	7	pollution	pollution	NOUN
ajst-8022	99	8	is	be	AUX
ajst-8022	99	9	related	relate	VERB
ajst-8022	99	10	to	to	ADP
ajst-8022	99	11	local	local	ADJ
ajst-8022	99	12	development	development	NOUN
ajst-8022	99	13	,	,	PUNCT
ajst-8022	99	14	in	in	ADP
ajst-8022	99	15	order	order	NOUN
ajst-8022	99	16	to	to	PART
ajst-8022	99	17	ensure	ensure	VERB
ajst-8022	99	18	the	the	DET
ajst-8022	99	19	reliability	reliability	NOUN
ajst-8022	99	20	of	of	ADP
ajst-8022	99	21	test	test	NOUN
ajst-8022	99	22	results	result	NOUN
ajst-8022	99	23	,	,	PUNCT
ajst-8022	99	24	multiple	multiple	ADJ
ajst-8022	99	25	types	type	NOUN
ajst-8022	99	26	of	of	ADP
ajst-8022	99	27	sites	site	NOUN
ajst-8022	99	28	were	be	AUX
ajst-8022	99	29	selected	select	VERB
ajst-8022	99	30	during	during	ADP
ajst-8022	99	31	the	the	DET
ajst-8022	99	32	test	test	NOUN
ajst-8022	99	33	,	,	PUNCT
ajst-8022	99	34	including	include	VERB
ajst-8022	99	35	four	four	NUM
ajst-8022	99	36	types	type	NOUN
ajst-8022	99	37	of	of	ADP
ajst-8022	99	38	sites	site	NOUN
ajst-8022	99	39	:	:	PUNCT
ajst-8022	99	40	nature	nature	PROPN
ajst-8022	99	41	reserve	reserve	PROPN
ajst-8022	99	42	,	,	PUNCT
ajst-8022	99	43	rural	rural	ADJ
ajst-8022	99	44	community	community	NOUN
ajst-8022	99	45	,	,	PUNCT
ajst-8022	99	46	suburban	suburban	ADJ
ajst-8022	99	47	community	community	NOUN
ajst-8022	99	48	and	and	CCONJ
ajst-8022	99	49	urban	urban	ADJ
ajst-8022	99	50	community	community	NOUN
ajst-8022	99	51	,	,	PUNCT
ajst-8022	99	52	and	and	CCONJ
ajst-8022	99	53	multiple	multiple	ADJ
ajst-8022	99	54	sets	set	NOUN
ajst-8022	99	55	of	of	ADP
ajst-8022	99	56	data	datum	NOUN
ajst-8022	99	57	were	be	AUX
ajst-8022	99	58	selected	select	VERB
ajst-8022	99	59	for	for	ADP
ajst-8022	99	60	each	each	DET
ajst-8022	99	61	type	type	NOUN
ajst-8022	99	62	of	of	ADP
ajst-8022	99	63	site	site	NOUN
ajst-8022	99	64	.	.	PUNCT
ajst-8022	100	1	the	the	DET
ajst-8022	100	2	verification	verification	NOUN
ajst-8022	100	3	process	process	NOUN
ajst-8022	100	4	is	be	AUX
ajst-8022	100	5	shown	show	VERB
ajst-8022	100	6	in	in	ADP
ajst-8022	100	7	figure	figure	NOUN
ajst-8022	100	8	5	5	NUM
ajst-8022	100	9	.	.	PUNCT
ajst-8022	100	10	248	248	NUM
ajst-8022	100	11	figure	figure	NOUN
ajst-8022	100	12	5	5	NUM
ajst-8022	100	13	.	.	PUNCT
ajst-8022	100	14	model	model	NOUN
ajst-8022	100	15	test	test	NOUN
ajst-8022	100	16	flow	flow	NOUN
ajst-8022	100	17	chart	chart	NOUN
ajst-8022	100	18	the	the	DET
ajst-8022	100	19	relevant	relevant	ADJ
ajst-8022	100	20	factor	factor	NOUN
ajst-8022	100	21	data	datum	NOUN
ajst-8022	100	22	of	of	ADP
ajst-8022	100	23	the	the	DET
ajst-8022	100	24	selected	select	VERB
ajst-8022	100	25	locations	location	NOUN
ajst-8022	100	26	are	be	AUX
ajst-8022	100	27	processed	process	VERB
ajst-8022	100	28	and	and	CCONJ
ajst-8022	100	29	substituted	substitute	VERB
ajst-8022	100	30	into	into	ADP
ajst-8022	100	31	the	the	DET
ajst-8022	100	32	bp	bp	PROPN
ajst-8022	100	33	neural	neural	PROPN
ajst-8022	100	34	network	network	NOUN
ajst-8022	100	35	model	model	NOUN
ajst-8022	100	36	established	establish	VERB
ajst-8022	100	37	above	above	ADV
ajst-8022	100	38	for	for	ADP
ajst-8022	100	39	prediction	prediction	NOUN
ajst-8022	100	40	.	.	PUNCT
ajst-8022	101	1	the	the	DET
ajst-8022	101	2	predicted	predict	VERB
ajst-8022	101	3	data	datum	NOUN
ajst-8022	101	4	is	be	AUX
ajst-8022	101	5	analyzed	analyze	VERB
ajst-8022	101	6	and	and	CCONJ
ajst-8022	101	7	processed	process	VERB
ajst-8022	101	8	,	,	PUNCT
ajst-8022	101	9	and	and	CCONJ
ajst-8022	101	10	then	then	ADV
ajst-8022	101	11	the	the	DET
ajst-8022	101	12	average	average	ADJ
ajst-8022	101	13	value	value	NOUN
ajst-8022	101	14	is	be	AUX
ajst-8022	101	15	taken	take	VERB
ajst-8022	101	16	as	as	ADP
ajst-8022	101	17	the	the	DET
ajst-8022	101	18	light	light	ADJ
ajst-8022	101	19	pollution	pollution	NOUN
ajst-8022	101	20	degree	degree	NOUN
ajst-8022	101	21	of	of	ADP
ajst-8022	101	22	this	this	DET
ajst-8022	101	23	type	type	NOUN
ajst-8022	101	24	of	of	ADP
ajst-8022	101	25	location	location	NOUN
ajst-8022	101	26	to	to	PART
ajst-8022	101	27	determine	determine	VERB
ajst-8022	101	28	the	the	DET
ajst-8022	101	29	light	light	ADJ
ajst-8022	101	30	pollution	pollution	NOUN
ajst-8022	101	31	level	level	NOUN
ajst-8022	101	32	.	.	PUNCT
ajst-8022	102	1	finally	finally	ADV
ajst-8022	102	2	,	,	PUNCT
ajst-8022	102	3	the	the	DET
ajst-8022	102	4	analysis	analysis	NOUN
ajst-8022	102	5	is	be	AUX
ajst-8022	102	6	made	make	VERB
ajst-8022	102	7	according	accord	VERB
ajst-8022	102	8	to	to	ADP
ajst-8022	102	9	the	the	DET
ajst-8022	102	10	comparison	comparison	NOUN
ajst-8022	102	11	between	between	ADP
ajst-8022	102	12	the	the	DET
ajst-8022	102	13	actual	actual	ADJ
ajst-8022	102	14	situation	situation	NOUN
ajst-8022	102	15	and	and	CCONJ
ajst-8022	102	16	the	the	DET
ajst-8022	102	17	predicted	predict	VERB
ajst-8022	102	18	results	result	NOUN
ajst-8022	102	19	.	.	PUNCT
ajst-8022	103	1	figure	figure	VERB
ajst-8022	103	2	6	6	NUM
ajst-8022	103	3	shows	show	VERB
ajst-8022	103	4	that	that	SCONJ
ajst-8022	103	5	in	in	ADP
ajst-8022	103	6	the	the	DET
ajst-8022	103	7	second	second	ADJ
ajst-8022	103	8	round	round	NOUN
ajst-8022	103	9	of	of	ADP
ajst-8022	103	10	test	test	NOUN
ajst-8022	103	11	,	,	PUNCT
ajst-8022	103	12	the	the	DET
ajst-8022	103	13	mean	mean	ADJ
ajst-8022	103	14	square	square	ADJ
ajst-8022	103	15	error	error	NOUN
ajst-8022	103	16	is	be	AUX
ajst-8022	103	17	0.0055593	0.0055593	NUM
ajst-8022	103	18	,	,	PUNCT
ajst-8022	103	19	which	which	PRON
ajst-8022	103	20	is	be	AUX
ajst-8022	103	21	almost	almost	ADV
ajst-8022	103	22	negligible	negligible	ADJ
ajst-8022	103	23	and	and	CCONJ
ajst-8022	103	24	has	have	VERB
ajst-8022	103	25	the	the	DET
ajst-8022	103	26	best	good	ADJ
ajst-8022	103	27	effect	effect	NOUN
ajst-8022	103	28	.	.	PUNCT
ajst-8022	104	1	therefore	therefore	ADV
ajst-8022	104	2	,	,	PUNCT
ajst-8022	104	3	the	the	DET
ajst-8022	104	4	training	training	NOUN
ajst-8022	104	5	results	result	NOUN
ajst-8022	104	6	of	of	ADP
ajst-8022	104	7	the	the	DET
ajst-8022	104	8	second	second	ADJ
ajst-8022	104	9	round	round	NOUN
ajst-8022	104	10	are	be	AUX
ajst-8022	104	11	used	use	VERB
ajst-8022	104	12	in	in	ADP
ajst-8022	104	13	the	the	DET
ajst-8022	104	14	evaluation	evaluation	NOUN
ajst-8022	104	15	.	.	PUNCT
ajst-8022	105	1	as	as	SCONJ
ajst-8022	105	2	can	can	AUX
ajst-8022	105	3	be	be	AUX
ajst-8022	105	4	seen	see	VERB
ajst-8022	105	5	from	from	ADP
ajst-8022	105	6	table	table	NOUN
ajst-8022	105	7	3	3	NUM
ajst-8022	105	8	,	,	PUNCT
ajst-8022	105	9	the	the	DET
ajst-8022	105	10	final	final	ADJ
ajst-8022	105	11	evaluation	evaluation	NOUN
ajst-8022	105	12	results	result	NOUN
ajst-8022	105	13	show	show	VERB
ajst-8022	105	14	that	that	SCONJ
ajst-8022	105	15	the	the	DET
ajst-8022	105	16	nature	nature	NOUN
ajst-8022	105	17	reserve	reserve	NOUN
ajst-8022	105	18	is	be	AUX
ajst-8022	105	19	at	at	ADP
ajst-8022	105	20	low	low	ADJ
ajst-8022	105	21	light	light	ADJ
ajst-8022	105	22	pollution	pollution	NOUN
ajst-8022	105	23	risk	risk	NOUN
ajst-8022	105	24	level	level	NOUN
ajst-8022	105	25	,	,	PUNCT
ajst-8022	105	26	the	the	DET
ajst-8022	105	27	rural	rural	ADJ
ajst-8022	105	28	community	community	NOUN
ajst-8022	105	29	is	be	AUX
ajst-8022	105	30	at	at	ADP
ajst-8022	105	31	medium	medium	ADJ
ajst-8022	105	32	light	light	ADJ
ajst-8022	105	33	pollution	pollution	NOUN
ajst-8022	105	34	risk	risk	NOUN
ajst-8022	105	35	level	level	NOUN
ajst-8022	105	36	,	,	PUNCT
ajst-8022	105	37	the	the	DET
ajst-8022	105	38	suburban	suburban	ADJ
ajst-8022	105	39	community	community	NOUN
ajst-8022	105	40	is	be	AUX
ajst-8022	105	41	at	at	ADP
ajst-8022	105	42	high	high	ADJ
ajst-8022	105	43	light	light	ADJ
ajst-8022	105	44	pollution	pollution	NOUN
ajst-8022	105	45	risk	risk	NOUN
ajst-8022	105	46	level	level	NOUN
ajst-8022	105	47	,	,	PUNCT
ajst-8022	105	48	and	and	CCONJ
ajst-8022	105	49	the	the	DET
ajst-8022	105	50	urban	urban	ADJ
ajst-8022	105	51	community	community	NOUN
ajst-8022	105	52	is	be	AUX
ajst-8022	105	53	at	at	ADP
ajst-8022	105	54	high	high	ADJ
ajst-8022	105	55	light	light	ADJ
ajst-8022	105	56	pollution	pollution	NOUN
ajst-8022	105	57	risk	risk	NOUN
ajst-8022	105	58	level	level	NOUN
ajst-8022	105	59	.	.	PUNCT
ajst-8022	106	1	according	accord	VERB
ajst-8022	106	2	to	to	ADP
ajst-8022	106	3	the	the	DET
ajst-8022	106	4	actual	actual	ADJ
ajst-8022	106	5	situation	situation	NOUN
ajst-8022	106	6	,	,	PUNCT
ajst-8022	106	7	the	the	DET
ajst-8022	106	8	nature	nature	NOUN
ajst-8022	106	9	reserve	reserve	NOUN
ajst-8022	106	10	has	have	VERB
ajst-8022	106	11	low	low	ADJ
ajst-8022	106	12	population	population	NOUN
ajst-8022	106	13	density	density	NOUN
ajst-8022	106	14	,	,	PUNCT
ajst-8022	106	15	wide	wide	ADJ
ajst-8022	106	16	green	green	ADJ
ajst-8022	106	17	area	area	NOUN
ajst-8022	106	18	,	,	PUNCT
ajst-8022	106	19	large	large	ADJ
ajst-8022	106	20	forest	forest	NOUN
ajst-8022	106	21	coverage	coverage	NOUN
ajst-8022	106	22	,	,	PUNCT
ajst-8022	106	23	low	low	ADJ
ajst-8022	106	24	pollutant	pollutant	ADJ
ajst-8022	106	25	discharge	discharge	NOUN
ajst-8022	106	26	,	,	PUNCT
ajst-8022	106	27	and	and	CCONJ
ajst-8022	106	28	almost	almost	ADV
ajst-8022	106	29	no	no	PRON
ajst-8022	106	30	artificial	artificial	ADJ
ajst-8022	106	31	light	light	NOUN
ajst-8022	106	32	,	,	PUNCT
ajst-8022	106	33	which	which	PRON
ajst-8022	106	34	should	should	AUX
ajst-8022	106	35	be	be	AUX
ajst-8022	106	36	low	low	ADJ
ajst-8022	106	37	light	light	ADJ
ajst-8022	106	38	pollution	pollution	NOUN
ajst-8022	106	39	risk	risk	NOUN
ajst-8022	106	40	level	level	NOUN
ajst-8022	106	41	,	,	PUNCT
ajst-8022	106	42	consistent	consistent	ADJ
ajst-8022	106	43	with	with	ADP
ajst-8022	106	44	the	the	DET
ajst-8022	106	45	evaluation	evaluation	NOUN
ajst-8022	106	46	;	;	PUNCT
ajst-8022	106	47	rural	rural	ADJ
ajst-8022	106	48	communities	community	NOUN
ajst-8022	106	49	have	have	VERB
ajst-8022	106	50	lower	low	ADJ
ajst-8022	106	51	population	population	NOUN
ajst-8022	106	52	density	density	NOUN
ajst-8022	106	53	,	,	PUNCT
ajst-8022	106	54	lower	lower	PROPN
ajst-8022	106	55	gdp	gdp	NOUN
ajst-8022	106	56	,	,	PUNCT
ajst-8022	106	57	lower	low	ADJ
ajst-8022	106	58	pollutant	pollutant	ADJ
ajst-8022	106	59	emission	emission	NOUN
ajst-8022	106	60	,	,	PUNCT
ajst-8022	106	61	and	and	CCONJ
ajst-8022	106	62	less	less	ADV
ajst-8022	106	63	artificial	artificial	ADJ
ajst-8022	106	64	light	light	NOUN
ajst-8022	106	65	use	use	NOUN
ajst-8022	106	66	,	,	PUNCT
ajst-8022	106	67	but	but	CCONJ
ajst-8022	106	68	the	the	DET
ajst-8022	106	69	population	population	NOUN
ajst-8022	106	70	density	density	NOUN
ajst-8022	106	71	,	,	PUNCT
ajst-8022	106	72	pollutant	pollutant	ADJ
ajst-8022	106	73	emission	emission	NOUN
ajst-8022	106	74	,	,	PUNCT
ajst-8022	106	75	and	and	CCONJ
ajst-8022	106	76	artificial	artificial	ADJ
ajst-8022	106	77	light	light	ADJ
ajst-8022	106	78	use	use	NOUN
ajst-8022	106	79	are	be	AUX
ajst-8022	106	80	higher	high	ADJ
ajst-8022	106	81	than	than	ADP
ajst-8022	106	82	nature	nature	NOUN
ajst-8022	106	83	reserves	reserve	NOUN
ajst-8022	106	84	,	,	PUNCT
ajst-8022	106	85	so	so	CCONJ
ajst-8022	106	86	the	the	DET
ajst-8022	106	87	risk	risk	NOUN
ajst-8022	106	88	level	level	NOUN
ajst-8022	106	89	of	of	ADP
ajst-8022	106	90	light	light	ADJ
ajst-8022	106	91	pollution	pollution	NOUN
ajst-8022	106	92	should	should	AUX
ajst-8022	106	93	be	be	AUX
ajst-8022	106	94	medium	medium	ADJ
ajst-8022	106	95	,	,	PUNCT
ajst-8022	106	96	consistent	consistent	ADJ
ajst-8022	106	97	with	with	ADP
ajst-8022	106	98	the	the	DET
ajst-8022	106	99	evaluation	evaluation	NOUN
ajst-8022	106	100	results	result	NOUN
ajst-8022	106	101	.	.	PUNCT
ajst-8022	107	1	suburban	suburban	ADJ
ajst-8022	107	2	communities	community	NOUN
ajst-8022	107	3	have	have	VERB
ajst-8022	107	4	higher	high	ADJ
ajst-8022	107	5	population	population	NOUN
ajst-8022	107	6	density	density	NOUN
ajst-8022	107	7	,	,	PUNCT
ajst-8022	107	8	higher	high	ADJ
ajst-8022	107	9	gdp	gdp	NOUN
ajst-8022	107	10	,	,	PUNCT
ajst-8022	107	11	higher	high	ADJ
ajst-8022	107	12	pollutant	pollutant	ADJ
ajst-8022	107	13	emission	emission	NOUN
ajst-8022	107	14	,	,	PUNCT
ajst-8022	107	15	lower	low	ADJ
ajst-8022	107	16	forest	forest	NOUN
ajst-8022	107	17	coverage	coverage	NOUN
ajst-8022	107	18	and	and	CCONJ
ajst-8022	107	19	more	more	ADJ
ajst-8022	107	20	artificial	artificial	ADJ
ajst-8022	107	21	light	light	ADJ
ajst-8022	107	22	use	use	NOUN
ajst-8022	107	23	,	,	PUNCT
ajst-8022	107	24	so	so	SCONJ
ajst-8022	107	25	suburban	suburban	ADJ
ajst-8022	107	26	communities	community	NOUN
ajst-8022	107	27	should	should	AUX
ajst-8022	107	28	have	have	VERB
ajst-8022	107	29	higher	high	ADJ
ajst-8022	107	30	light	light	ADJ
ajst-8022	107	31	pollution	pollution	NOUN
ajst-8022	107	32	risk	risk	NOUN
ajst-8022	107	33	level	level	NOUN
ajst-8022	107	34	,	,	PUNCT
ajst-8022	107	35	which	which	PRON
ajst-8022	107	36	is	be	AUX
ajst-8022	107	37	consistent	consistent	ADJ
ajst-8022	107	38	with	with	ADP
ajst-8022	107	39	the	the	DET
ajst-8022	107	40	evaluation	evaluation	NOUN
ajst-8022	107	41	.	.	PUNCT
ajst-8022	108	1	urban	urban	ADJ
ajst-8022	108	2	communities	community	NOUN
ajst-8022	108	3	have	have	VERB
ajst-8022	108	4	high	high	ADJ
ajst-8022	108	5	population	population	NOUN
ajst-8022	108	6	density	density	NOUN
ajst-8022	108	7	,	,	PUNCT
ajst-8022	108	8	high	high	ADJ
ajst-8022	108	9	gdp	gdp	NOUN
ajst-8022	108	10	,	,	PUNCT
ajst-8022	108	11	high	high	ADJ
ajst-8022	108	12	emission	emission	NOUN
ajst-8022	108	13	of	of	ADP
ajst-8022	108	14	pollutants	pollutant	NOUN
ajst-8022	108	15	,	,	PUNCT
ajst-8022	108	16	low	low	ADJ
ajst-8022	108	17	forest	forest	NOUN
ajst-8022	108	18	coverage	coverage	NOUN
ajst-8022	108	19	and	and	CCONJ
ajst-8022	108	20	high	high	ADJ
ajst-8022	108	21	use	use	NOUN
ajst-8022	108	22	of	of	ADP
ajst-8022	108	23	artificial	artificial	ADJ
ajst-8022	108	24	light	light	NOUN
ajst-8022	108	25	,	,	PUNCT
ajst-8022	108	26	so	so	SCONJ
ajst-8022	108	27	urban	urban	ADJ
ajst-8022	108	28	communities	community	NOUN
ajst-8022	108	29	should	should	AUX
ajst-8022	108	30	be	be	AUX
ajst-8022	108	31	the	the	DET
ajst-8022	108	32	risk	risk	NOUN
ajst-8022	108	33	level	level	NOUN
ajst-8022	108	34	of	of	ADP
ajst-8022	108	35	high	high	ADJ
ajst-8022	108	36	light	light	NOUN
ajst-8022	108	37	pollution	pollution	NOUN
ajst-8022	108	38	,	,	PUNCT
ajst-8022	108	39	which	which	PRON
ajst-8022	108	40	is	be	AUX
ajst-8022	108	41	consistent	consistent	ADJ
ajst-8022	108	42	with	with	ADP
ajst-8022	108	43	the	the	DET
ajst-8022	108	44	evaluation	evaluation	NOUN
ajst-8022	108	45	,	,	PUNCT
ajst-8022	108	46	indicating	indicate	VERB
ajst-8022	108	47	that	that	SCONJ
ajst-8022	108	48	the	the	DET
ajst-8022	108	49	bp	bp	PROPN
ajst-8022	108	50	neural	neural	PROPN
ajst-8022	108	51	network	network	PROPN
ajst-8022	108	52	model	model	NOUN
ajst-8022	108	53	established	establish	VERB
ajst-8022	108	54	is	be	AUX
ajst-8022	108	55	suitable	suitable	ADJ
ajst-8022	108	56	for	for	ADP
ajst-8022	108	57	predicting	predict	VERB
ajst-8022	108	58	the	the	DET
ajst-8022	108	59	risk	risk	NOUN
ajst-8022	108	60	level	level	NOUN
ajst-8022	108	61	of	of	ADP
ajst-8022	108	62	light	light	ADJ
ajst-8022	108	63	pollution	pollution	NOUN
ajst-8022	108	64	in	in	ADP
ajst-8022	108	65	various	various	ADJ
ajst-8022	108	66	types	type	NOUN
ajst-8022	108	67	of	of	ADP
ajst-8022	108	68	locations	location	NOUN
ajst-8022	108	69	,	,	PUNCT
ajst-8022	108	70	and	and	CCONJ
ajst-8022	108	71	has	have	VERB
ajst-8022	108	72	wide	wide	ADJ
ajst-8022	108	73	applicability	applicability	NOUN
ajst-8022	108	74	.	.	PUNCT
ajst-8022	109	1	figure	figure	VERB
ajst-8022	109	2	6	6	NUM
ajst-8022	109	3	.	.	PUNCT
ajst-8022	110	1	mean	mean	ADJ
ajst-8022	110	2	-	-	PUNCT
ajst-8022	110	3	square	square	NOUN
ajst-8022	110	4	error	error	NOUN
ajst-8022	110	5	chart	chart	NOUN
ajst-8022	110	6	of	of	ADP
ajst-8022	110	7	the	the	DET
ajst-8022	110	8	second	second	ADJ
ajst-8022	110	9	round	round	NOUN
ajst-8022	110	10	forecast	forecast	NOUN
ajst-8022	110	11	table	table	NOUN
ajst-8022	110	12	3	3	NUM
ajst-8022	110	13	.	.	PUNCT
ajst-8022	110	14	regional	regional	ADJ
ajst-8022	110	15	light	light	ADJ
ajst-8022	110	16	pollution	pollution	NOUN
ajst-8022	110	17	risk	risk	NOUN
ajst-8022	110	18	level	level	NOUN
ajst-8022	110	19	region	region	NOUN
ajst-8022	110	20	light	light	NOUN
ajst-8022	110	21	pollution	pollution	NOUN
ajst-8022	110	22	degree	degree	NOUN
ajst-8022	110	23	value	value	NOUN
ajst-8022	110	24	light	light	NOUN
ajst-8022	110	25	pollution	pollution	NOUN
ajst-8022	110	26	risk	risk	NOUN
ajst-8022	110	27	level	level	NOUN
ajst-8022	110	28	protected	protect	VERB
ajst-8022	110	29	land	land	NOUN
ajst-8022	110	30	0.5996	0.5996	NUM
ajst-8022	110	31	low	low	ADJ
ajst-8022	110	32	rural	rural	ADJ
ajst-8022	110	33	community	community	NOUN
ajst-8022	110	34	3.3759	3.3759	NUM
ajst-8022	110	35	middle	middle	ADJ
ajst-8022	110	36	suburban	suburban	ADJ
ajst-8022	110	37	community	community	NOUN
ajst-8022	110	38	6.6338	6.6338	NUM
ajst-8022	110	39	high	high	ADJ
ajst-8022	110	40	urban	urban	ADJ
ajst-8022	110	41	community	community	NOUN
ajst-8022	110	42	8.5802	8.5802	NUM
ajst-8022	110	43	higher	high	ADJ
ajst-8022	110	44	249	249	NUM
ajst-8022	110	45	4	4	NUM
ajst-8022	110	46	.	.	PUNCT
ajst-8022	111	1	conclusions	conclusion	NOUN
ajst-8022	111	2	research	research	VERB
ajst-8022	111	3	on	on	ADP
ajst-8022	111	4	light	light	ADJ
ajst-8022	111	5	pollution	pollution	NOUN
ajst-8022	111	6	at	at	ADP
ajst-8022	111	7	home	home	ADV
ajst-8022	111	8	and	and	CCONJ
ajst-8022	111	9	abroad	abroad	ADV
ajst-8022	111	10	is	be	AUX
ajst-8022	111	11	mainly	mainly	ADV
ajst-8022	111	12	qualitative	qualitative	ADJ
ajst-8022	111	13	research	research	NOUN
ajst-8022	111	14	,	,	PUNCT
ajst-8022	111	15	and	and	CCONJ
ajst-8022	111	16	quantitative	quantitative	ADJ
ajst-8022	111	17	research	research	NOUN
ajst-8022	111	18	on	on	ADP
ajst-8022	111	19	light	light	ADJ
ajst-8022	111	20	pollution	pollution	NOUN
ajst-8022	111	21	is	be	AUX
ajst-8022	111	22	few	few	ADJ
ajst-8022	111	23	.	.	PUNCT
ajst-8022	112	1	at	at	ADP
ajst-8022	112	2	the	the	DET
ajst-8022	112	3	same	same	ADJ
ajst-8022	112	4	time	time	NOUN
ajst-8022	112	5	,	,	PUNCT
ajst-8022	112	6	research	research	NOUN
ajst-8022	112	7	mainly	mainly	ADV
ajst-8022	112	8	focuses	focus	VERB
ajst-8022	112	9	on	on	ADP
ajst-8022	112	10	a	a	DET
ajst-8022	112	11	single	single	ADJ
ajst-8022	112	12	area	area	NOUN
ajst-8022	112	13	,	,	PUNCT
ajst-8022	112	14	and	and	CCONJ
ajst-8022	112	15	there	there	PRON
ajst-8022	112	16	is	be	VERB
ajst-8022	112	17	a	a	DET
ajst-8022	112	18	lack	lack	NOUN
ajst-8022	112	19	of	of	ADP
ajst-8022	112	20	a	a	DET
ajst-8022	112	21	set	set	NOUN
ajst-8022	112	22	of	of	ADP
ajst-8022	112	23	widely	widely	ADV
ajst-8022	112	24	applicable	applicable	ADJ
ajst-8022	112	25	quantitative	quantitative	ADJ
ajst-8022	112	26	evaluation	evaluation	NOUN
ajst-8022	112	27	system	system	NOUN
ajst-8022	112	28	for	for	ADP
ajst-8022	112	29	light	light	ADJ
ajst-8022	112	30	pollution	pollution	NOUN
ajst-8022	112	31	.	.	PUNCT
ajst-8022	113	1	in	in	ADP
ajst-8022	113	2	this	this	DET
ajst-8022	113	3	study	study	NOUN
ajst-8022	113	4	,	,	PUNCT
ajst-8022	113	5	grey	grey	ADJ
ajst-8022	113	6	correlation	correlation	NOUN
ajst-8022	113	7	and	and	CCONJ
ajst-8022	113	8	bp	bp	PROPN
ajst-8022	113	9	neural	neural	ADJ
ajst-8022	113	10	network	network	NOUN
ajst-8022	113	11	were	be	AUX
ajst-8022	113	12	used	use	VERB
ajst-8022	113	13	to	to	PART
ajst-8022	113	14	establish	establish	VERB
ajst-8022	113	15	a	a	DET
ajst-8022	113	16	set	set	NOUN
ajst-8022	113	17	of	of	ADP
ajst-8022	113	18	widely	widely	ADV
ajst-8022	113	19	applicable	applicable	ADJ
ajst-8022	113	20	quantitative	quantitative	ADJ
ajst-8022	113	21	evaluation	evaluation	NOUN
ajst-8022	113	22	system	system	NOUN
ajst-8022	113	23	.	.	PUNCT
ajst-8022	114	1	through	through	ADP
ajst-8022	114	2	continuous	continuous	ADJ
ajst-8022	114	3	training	training	NOUN
ajst-8022	114	4	of	of	ADP
ajst-8022	114	5	the	the	DET
ajst-8022	114	6	model	model	NOUN
ajst-8022	114	7	through	through	ADP
ajst-8022	114	8	machine	machine	NOUN
ajst-8022	114	9	learning	learning	NOUN
ajst-8022	114	10	,	,	PUNCT
ajst-8022	114	11	the	the	DET
ajst-8022	114	12	current	current	ADJ
ajst-8022	114	13	model	model	NOUN
ajst-8022	114	14	has	have	AUX
ajst-8022	114	15	reached	reach	VERB
ajst-8022	114	16	the	the	DET
ajst-8022	114	17	prediction	prediction	NOUN
ajst-8022	114	18	accuracy	accuracy	NOUN
ajst-8022	114	19	of	of	ADP
ajst-8022	114	20	82.8549	82.8549	NUM
ajst-8022	114	21	%	%	NOUN
ajst-8022	114	22	.	.	PUNCT
ajst-8022	115	1	if	if	SCONJ
ajst-8022	115	2	the	the	DET
ajst-8022	115	3	training	training	NOUN
ajst-8022	115	4	continues	continue	VERB
ajst-8022	115	5	,	,	PUNCT
ajst-8022	115	6	it	it	PRON
ajst-8022	115	7	will	will	AUX
ajst-8022	115	8	reach	reach	VERB
ajst-8022	115	9	a	a	DET
ajst-8022	115	10	higher	high	ADJ
ajst-8022	115	11	accuracy	accuracy	NOUN
ajst-8022	115	12	,	,	PUNCT
ajst-8022	115	13	which	which	PRON
ajst-8022	115	14	can	can	AUX
ajst-8022	115	15	provide	provide	VERB
ajst-8022	115	16	favorable	favorable	ADJ
ajst-8022	115	17	technical	technical	ADJ
ajst-8022	115	18	support	support	NOUN
ajst-8022	115	19	for	for	ADP
ajst-8022	115	20	the	the	DET
ajst-8022	115	21	construction	construction	NOUN
ajst-8022	115	22	and	and	CCONJ
ajst-8022	115	23	evaluation	evaluation	NOUN
ajst-8022	115	24	of	of	ADP
ajst-8022	115	25	light	light	ADJ
ajst-8022	115	26	environment	environment	NOUN
ajst-8022	115	27	.	.	PUNCT
ajst-8022	116	1	it	it	PRON
ajst-8022	116	2	provides	provide	VERB
ajst-8022	116	3	more	more	ADJ
ajst-8022	116	4	basis	basis	NOUN
ajst-8022	116	5	for	for	ADP
ajst-8022	116	6	optimizing	optimize	VERB
ajst-8022	116	7	the	the	DET
ajst-8022	116	8	design	design	NOUN
ajst-8022	116	9	of	of	ADP
ajst-8022	116	10	light	light	ADJ
ajst-8022	116	11	environment	environment	NOUN
ajst-8022	116	12	and	and	CCONJ
ajst-8022	116	13	support	support	NOUN
ajst-8022	116	14	for	for	ADP
ajst-8022	116	15	reducing	reduce	VERB
ajst-8022	116	16	the	the	DET
ajst-8022	116	17	risk	risk	NOUN
ajst-8022	116	18	level	level	NOUN
ajst-8022	116	19	of	of	ADP
ajst-8022	116	20	light	light	ADJ
ajst-8022	116	21	pollution	pollution	NOUN
ajst-8022	116	22	.	.	PUNCT
ajst-8022	117	1	promote	promote	VERB
ajst-8022	117	2	the	the	DET
ajst-8022	117	3	improvement	improvement	NOUN
ajst-8022	117	4	of	of	ADP
ajst-8022	117	5	light	light	ADJ
ajst-8022	117	6	-	-	PUNCT
ajst-8022	117	7	polluted	polluted	ADJ
ajst-8022	117	8	roads	road	NOUN
ajst-8022	117	9	.	.	PUNCT
ajst-8022	118	1	references	reference	NOUN
ajst-8022	118	2	[	[	X
ajst-8022	118	3	1	1	NUM
ajst-8022	118	4	]	]	PUNCT
ajst-8022	118	5	su	su	NOUN
ajst-8022	118	6	x	x	PROPN
ajst-8022	118	7	m.	m.	NOUN
ajst-8022	118	8	comprehensive	comprehensive	ADJ
ajst-8022	118	9	evaluation	evaluation	NOUN
ajst-8022	118	10	of	of	ADP
ajst-8022	118	11	residential	residential	ADJ
ajst-8022	118	12	light	light	ADJ
ajst-8022	118	13	pollution	pollution	NOUN
ajst-8022	119	1	[	[	X
ajst-8022	119	2	d	d	X
ajst-8022	119	3	]	]	X
ajst-8022	119	4	.	.	PUNCT
ajst-8022	120	1	tianjin	tianjin	PROPN
ajst-8022	120	2	university,2011	university,2011	PROPN
ajst-8022	120	3	.	.	PUNCT
ajst-8022	121	1	[	[	X
ajst-8022	121	2	2	2	NUM
ajst-8022	121	3	]	]	X
ajst-8022	121	4	zhang	zhang	PROPN
ajst-8022	121	5	yue	yue	PROPN
ajst-8022	121	6	,	,	PUNCT
ajst-8022	121	7	xu	xu	PROPN
ajst-8022	121	8	yongming	yongming	PROPN
ajst-8022	121	9	,	,	PUNCT
ajst-8022	121	10	xiong	xiong	PROPN
ajst-8022	121	11	wencheng	wencheng	PROPN
ajst-8022	121	12	,	,	PUNCT
ajst-8022	121	13	et	et	PROPN
ajst-8022	121	14	al	al	PROPN
ajst-8022	121	15	.	.	PUNCT
ajst-8022	121	16	analysis	analysis	NOUN
ajst-8022	121	17	of	of	ADP
ajst-8022	121	18	night	night	NOUN
ajst-8022	121	19	light	light	ADJ
ajst-8022	121	20	pollution	pollution	NOUN
ajst-8022	121	21	monitoring	monitoring	NOUN
ajst-8022	121	22	and	and	CCONJ
ajst-8022	121	23	control	control	NOUN
ajst-8022	121	24	measures	measure	NOUN
ajst-8022	121	25	by	by	ADP
ajst-8022	121	26	remote	remote	ADJ
ajst-8022	121	27	sensing	sensing	NOUN
ajst-8022	121	28	[	[	X
ajst-8022	121	29	j	j	X
ajst-8022	121	30	]	]	X
ajst-8022	121	31	.	.	PUNCT
ajst-8022	122	1	environmental	environmental	ADJ
ajst-8022	122	2	monitoring	monitoring	NOUN
ajst-8022	122	3	and	and	CCONJ
ajst-8022	122	4	warning,2019,11(5):108	warning,2019,11(5):108	NOUN
ajst-8022	122	5	-	-	PUNCT
ajst-8022	122	6	112	112	NUM
ajst-8022	122	7	.	.	PUNCT
ajst-8022	123	1	[	[	X
ajst-8022	123	2	3	3	X
ajst-8022	123	3	]	]	X
ajst-8022	123	4	li	li	PROPN
ajst-8022	123	5	jiayi	jiayi	PROPN
ajst-8022	123	6	,	,	PUNCT
ajst-8022	123	7	xu	xu	PROPN
ajst-8022	123	8	yongming	yongming	PROPN
ajst-8022	123	9	,	,	PUNCT
ajst-8022	123	10	cui	cui	NOUN
ajst-8022	123	11	weiping	weiping	NOUN
ajst-8022	123	12	,	,	PUNCT
ajst-8022	123	13	wu	wu	PROPN
ajst-8022	123	14	yuyang	yuyang	PROPN
ajst-8022	123	15	,	,	PUNCT
ajst-8022	123	16	wang	wang	PROPN
ajst-8022	123	17	jing	jing	PROPN
ajst-8022	123	18	,	,	PUNCT
ajst-8022	123	19	su	su	PROPN
ajst-8022	123	20	boyang	boyang	PROPN
ajst-8022	123	21	,	,	PUNCT
ajst-8022	123	22	ji	ji	PROPN
ajst-8022	123	23	meng	meng	PROPN
ajst-8022	123	24	.	.	PUNCT
ajst-8022	124	1	monitoring	monitoring	NOUN
ajst-8022	124	2	of	of	ADP
ajst-8022	124	3	night	night	NOUN
ajst-8022	124	4	light	light	PROPN
ajst-8022	124	5	pollution	pollution	NOUN
ajst-8022	124	6	in	in	ADP
ajst-8022	124	7	nanjing	nanjing	PROPN
ajst-8022	124	8	city	city	PROPN
ajst-8022	124	9	based	base	VERB
ajst-8022	124	10	on	on	ADP
ajst-8022	124	11	luojia	luojia	ADJ
ajst-8022	124	12	no.1	no.1	VERB
ajst-8022	124	13	luminous	luminous	ADJ
ajst-8022	124	14	remote	remote	ADJ
ajst-8022	124	15	sensing	sense	VERB
ajst-8022	124	16	data	datum	NOUN
ajst-8022	125	1	[	[	X
ajst-8022	125	2	j	j	X
ajst-8022	125	3	]	]	X
ajst-8022	125	4	.	.	PUNCT
ajst-8022	126	1	remote	remote	ADJ
ajst-8022	126	2	sensing	sensing	NOUN
ajst-8022	126	3	of	of	ADP
ajst-8022	126	4	natural	natural	ADJ
ajst-8022	126	5	resources,2022	resources,2022	NOUN
ajst-8022	126	6	,	,	PUNCT
ajst-8022	126	7	vol	vol	NOUN
ajst-8022	126	8	.	.	PUNCT
ajst-8022	127	1	34	34	NUM
ajst-8022	127	2	(	(	PUNCT
ajst-8022	127	3	2	2	NUM
ajst-8022	127	4	):	):	PUNCT
ajst-8022	127	5	289	289	NUM
ajst-8022	127	6	-	-	SYM
ajst-8022	127	7	295	295	NUM
ajst-8022	128	1	[	[	X
ajst-8022	128	2	4	4	NUM
ajst-8022	128	3	]	]	X
ajst-8022	128	4	zhou	zhou	PROPN
ajst-8022	128	5	xiuwen	xiuwen	PROPN
ajst-8022	128	6	.	.	PUNCT
ajst-8022	129	1	research	research	NOUN
ajst-8022	129	2	and	and	CCONJ
ajst-8022	129	3	application	application	NOUN
ajst-8022	129	4	of	of	ADP
ajst-8022	129	5	grey	grey	PROPN
ajst-8022	129	6	relational	relational	ADJ
ajst-8022	129	7	degree	degree	NOUN
ajst-8022	130	1	[	[	X
ajst-8022	130	2	d	d	X
ajst-8022	130	3	]	]	X
ajst-8022	130	4	.	.	PUNCT
ajst-8022	131	1	jilin	jilin	PROPN
ajst-8022	131	2	university,2007	university,2007	PROPN
ajst-8022	131	3	.	.	PUNCT
ajst-8022	132	1	[	[	X
ajst-8022	132	2	5	5	NUM
ajst-8022	132	3	]	]	PUNCT
ajst-8022	132	4	yin	yin	PROPN
ajst-8022	132	5	chunhua	chunhua	PROPN
ajst-8022	132	6	,	,	PUNCT
ajst-8022	132	7	chen	chen	PROPN
ajst-8022	132	8	lei	lei	PROPN
ajst-8022	132	9	.	.	PROPN
ajst-8022	132	10	based	base	VERB
ajst-8022	132	11	on	on	ADP
ajst-8022	132	12	the	the	DET
ajst-8022	132	13	research	research	NOUN
ajst-8022	132	14	and	and	CCONJ
ajst-8022	132	15	application	application	NOUN
ajst-8022	132	16	of	of	ADP
ajst-8022	132	17	bp	bp	PROPN
ajst-8022	132	18	neural	neural	ADJ
ajst-8022	132	19	network	network	NOUN
ajst-8022	132	20	model	model	NOUN
ajst-8022	132	21	of	of	ADP
ajst-8022	132	22	population	population	NOUN
ajst-8022	132	23	prediction	prediction	NOUN
ajst-8022	133	1	[	[	X
ajst-8022	133	2	j	j	X
ajst-8022	133	3	]	]	X
ajst-8022	133	4	.	.	PUNCT
ajst-8022	134	1	journal	journal	PROPN
ajst-8022	134	2	of	of	ADP
ajst-8022	134	3	population	population	NOUN
ajst-8022	134	4	,	,	PUNCT
ajst-8022	134	5	2005	2005	NUM
ajst-8022	134	6	(	(	PUNCT
ajst-8022	134	7	02	02	NUM
ajst-8022	134	8	):	):	PUNCT
ajst-8022	134	9	44	44	NUM
ajst-8022	134	10	-	-	SYM
ajst-8022	134	11	48	48	NUM
ajst-8022	134	12	,	,	PUNCT
ajst-8022	134	13	doi	doi	NOUN
ajst-8022	134	14	:	:	PUNCT
ajst-8022	134	15	10.16405	10.16405	NUM
ajst-8022	134	16	/	/	SYM
ajst-8022	134	17	j.carol	j.carol	PROPN
ajst-8022	134	18	carroll	carroll	PROPN
ajst-8022	134	19	nki	nki	PROPN
ajst-8022	134	20	.	.	PUNCT
ajst-8022	134	21	1004	1004	NUM
ajst-8022	134	22	-	-	SYM
ajst-8022	134	23	129	129	NUM
ajst-8022	134	24	x.	x.	NOUN
ajst-8022	134	25	2005.02.009	2005.02.009	NUM
ajst-8022	134	26	.	.	PUNCT