id	sid	tid	token	lemma	pos
ajst-6866	1	1	academic	academic	ADJ
ajst-6866	1	2	journal	journal	NOUN
ajst-6866	1	3	of	of	ADP
ajst-6866	1	4	science	science	NOUN
ajst-6866	1	5	and	and	CCONJ
ajst-6866	1	6	technology	technology	NOUN
ajst-6866	1	7	issn	issn	NOUN
ajst-6866	1	8	:	:	PUNCT
ajst-6866	1	9	2771	2771	NUM
ajst-6866	1	10	-	-	SYM
ajst-6866	1	11	3032	3032	NUM
ajst-6866	1	12	|	|	NOUN
ajst-6866	1	13	vol	vol	NOUN
ajst-6866	1	14	.	.	PROPN
ajst-6866	2	1	5	5	NUM
ajst-6866	2	2	,	,	PUNCT
ajst-6866	2	3	no	no	INTJ
ajst-6866	2	4	.	.	NOUN
ajst-6866	2	5	2	2	NUM
ajst-6866	2	6	,	,	PUNCT
ajst-6866	2	7	2023	2023	NUM
ajst-6866	2	8	200	200	NUM
ajst-6866	2	9	short‐term	short‐term	ADJ
ajst-6866	2	10	prediction	prediction	NOUN
ajst-6866	2	11	of	of	ADP
ajst-6866	2	12	suzhou	suzhou	PROPN
ajst-6866	2	13	rail	rail	NOUN
ajst-6866	2	14	transit	transit	NOUN
ajst-6866	2	15	passenger	passenger	NOUN
ajst-6866	2	16	flow	flow	NOUN
ajst-6866	2	17	based	base	VERB
ajst-6866	2	18	on	on	ADP
ajst-6866	2	19	combination	combination	NOUN
ajst-6866	2	20	model	model	NOUN
ajst-6866	2	21	jiawei	jiawei	PROPN
ajst-6866	2	22	jiang1	jiang1	PROPN
ajst-6866	2	23	,	,	PUNCT
ajst-6866	2	24	jinbao	jinbao	PROPN
ajst-6866	2	25	zhao1	zhao1	X
ajst-6866	2	26	,	,	PUNCT
ajst-6866	2	27	2	2	NUM
ajst-6866	2	28	,	,	PUNCT
ajst-6866	2	29	*	*	PUNCT
ajst-6866	2	30	,	,	PUNCT
ajst-6866	2	31	wenjing	wenje	VERB
ajst-6866	2	32	liu1	liu1	PROPN
ajst-6866	2	33	,	,	PUNCT
ajst-6866	2	34	yuejuan	yuejuan	PROPN
ajst-6866	2	35	xu1	xu1	PROPN
ajst-6866	2	36	,	,	PUNCT
ajst-6866	2	37	mingxing	mingxe	VERB
ajst-6866	2	38	li1	li1	NOUN
ajst-6866	2	39	1	1	NUM
ajst-6866	2	40	school	school	NOUN
ajst-6866	2	41	of	of	ADP
ajst-6866	2	42	transportation	transportation	NOUN
ajst-6866	2	43	and	and	CCONJ
ajst-6866	2	44	vehicle	vehicle	NOUN
ajst-6866	2	45	engineering	engineering	NOUN
ajst-6866	2	46	,	,	PUNCT
ajst-6866	2	47	shandong	shandong	PROPN
ajst-6866	2	48	university	university	PROPN
ajst-6866	2	49	of	of	ADP
ajst-6866	2	50	technology	technology	PROPN
ajst-6866	2	51	,	,	PUNCT
ajst-6866	2	52	zibo	zibo	PROPN
ajst-6866	2	53	,	,	PUNCT
ajst-6866	2	54	shandong	shandong	PROPN
ajst-6866	2	55	,	,	PUNCT
ajst-6866	2	56	255000	255000	NUM
ajst-6866	2	57	,	,	PUNCT
ajst-6866	2	58	china	china	PROPN
ajst-6866	2	59	2	2	NUM
ajst-6866	2	60	school	school	NOUN
ajst-6866	2	61	of	of	ADP
ajst-6866	2	62	transportation	transportation	NOUN
ajst-6866	2	63	,	,	PUNCT
ajst-6866	2	64	southeast	southeast	PROPN
ajst-6866	2	65	university	university	NOUN
ajst-6866	2	66	,	,	PUNCT
ajst-6866	2	67	nanjing	nanjing	PROPN
ajst-6866	2	68	,	,	PUNCT
ajst-6866	2	69	210009	210009	NUM
ajst-6866	2	70	,	,	PUNCT
ajst-6866	2	71	jiangsu	jiangsu	PROPN
ajst-6866	2	72	,	,	PUNCT
ajst-6866	2	73	210009	210009	NUM
ajst-6866	2	74	,	,	PUNCT
ajst-6866	2	75	china	china	PROPN
ajst-6866	2	76	*	*	PUNCT
ajst-6866	2	77	corresponding	correspond	VERB
ajst-6866	2	78	author	author	NOUN
ajst-6866	2	79	abstract	abstract	NOUN
ajst-6866	2	80	:	:	PUNCT
ajst-6866	2	81	with	with	ADP
ajst-6866	2	82	the	the	DET
ajst-6866	2	83	increasing	increase	VERB
ajst-6866	2	84	economic	economic	ADJ
ajst-6866	2	85	development	development	NOUN
ajst-6866	2	86	of	of	ADP
ajst-6866	2	87	china	china	PROPN
ajst-6866	2	88	,	,	PUNCT
ajst-6866	2	89	the	the	DET
ajst-6866	2	90	country	country	NOUN
ajst-6866	2	91	encourages	encourage	VERB
ajst-6866	2	92	to	to	PART
ajst-6866	2	93	develop	develop	VERB
ajst-6866	2	94	public	public	ADJ
ajst-6866	2	95	transport	transport	NOUN
ajst-6866	2	96	strongly	strongly	ADV
ajst-6866	2	97	,	,	PUNCT
ajst-6866	2	98	and	and	CCONJ
ajst-6866	2	99	urban	urban	ADJ
ajst-6866	2	100	rail	rail	NOUN
ajst-6866	2	101	transit	transit	NOUN
ajst-6866	2	102	has	have	AUX
ajst-6866	2	103	become	become	VERB
ajst-6866	2	104	a	a	DET
ajst-6866	2	105	choice	choice	NOUN
ajst-6866	2	106	for	for	ADP
ajst-6866	2	107	more	more	ADJ
ajst-6866	2	108	and	and	CCONJ
ajst-6866	2	109	more	more	ADJ
ajst-6866	2	110	cities	city	NOUN
ajst-6866	2	111	.	.	PUNCT
ajst-6866	3	1	but	but	CCONJ
ajst-6866	3	2	for	for	ADP
ajst-6866	3	3	rail	rail	NOUN
ajst-6866	3	4	transit	transit	NOUN
ajst-6866	3	5	operations	operation	NOUN
ajst-6866	3	6	,	,	PUNCT
ajst-6866	3	7	passenger	passenger	NOUN
ajst-6866	3	8	flow	flow	NOUN
ajst-6866	3	9	prediction	prediction	NOUN
ajst-6866	3	10	is	be	AUX
ajst-6866	3	11	becoming	become	VERB
ajst-6866	3	12	more	more	ADV
ajst-6866	3	13	and	and	CCONJ
ajst-6866	3	14	more	more	ADV
ajst-6866	3	15	important	important	ADJ
ajst-6866	3	16	and	and	CCONJ
ajst-6866	3	17	has	have	AUX
ajst-6866	3	18	become	become	VERB
ajst-6866	3	19	a	a	DET
ajst-6866	3	20	key	key	ADJ
ajst-6866	3	21	issue	issue	NOUN
ajst-6866	3	22	in	in	ADP
ajst-6866	3	23	transportation	transportation	NOUN
ajst-6866	3	24	planning	planning	NOUN
ajst-6866	3	25	.	.	PUNCT
ajst-6866	4	1	however	however	ADV
ajst-6866	4	2	,	,	PUNCT
ajst-6866	4	3	the	the	DET
ajst-6866	4	4	effect	effect	NOUN
ajst-6866	4	5	of	of	ADP
ajst-6866	4	6	a	a	DET
ajst-6866	4	7	single	single	ADJ
ajst-6866	4	8	model	model	NOUN
ajst-6866	4	9	on	on	ADP
ajst-6866	4	10	predicting	predict	VERB
ajst-6866	4	11	short	short	ADJ
ajst-6866	4	12	-	-	PUNCT
ajst-6866	4	13	term	term	NOUN
ajst-6866	4	14	passenger	passenger	NOUN
ajst-6866	4	15	flow	flow	NOUN
ajst-6866	4	16	is	be	AUX
ajst-6866	4	17	not	not	PART
ajst-6866	4	18	ideal	ideal	ADJ
ajst-6866	4	19	.	.	PUNCT
ajst-6866	5	1	therefore	therefore	ADV
ajst-6866	5	2	,	,	PUNCT
ajst-6866	5	3	this	this	DET
ajst-6866	5	4	study	study	NOUN
ajst-6866	5	5	proposes	propose	VERB
ajst-6866	5	6	a	a	DET
ajst-6866	5	7	combined	combined	ADJ
ajst-6866	5	8	model	model	NOUN
ajst-6866	5	9	based	base	VERB
ajst-6866	5	10	on	on	ADP
ajst-6866	5	11	ga	ga	PROPN
ajst-6866	5	12	-	-	PUNCT
ajst-6866	5	13	bp	bp	PROPN
ajst-6866	5	14	neural	neural	ADJ
ajst-6866	5	15	network	network	NOUN
ajst-6866	5	16	and	and	CCONJ
ajst-6866	5	17	forecasts	forecast	VERB
ajst-6866	5	18	the	the	DET
ajst-6866	5	19	passenger	passenger	NOUN
ajst-6866	5	20	flow	flow	NOUN
ajst-6866	5	21	of	of	ADP
ajst-6866	5	22	suzhou	suzhou	PROPN
ajst-6866	5	23	urban	urban	PROPN
ajst-6866	5	24	rail	rail	NOUN
ajst-6866	5	25	transit	transit	NOUN
ajst-6866	5	26	line	line	NOUN
ajst-6866	5	27	1	1	NUM
ajst-6866	5	28	according	accord	VERB
ajst-6866	5	29	to	to	ADP
ajst-6866	5	30	weather	weather	NOUN
ajst-6866	5	31	,	,	PUNCT
ajst-6866	5	32	holidays	holiday	NOUN
ajst-6866	5	33	,	,	PUNCT
ajst-6866	5	34	and	and	CCONJ
ajst-6866	5	35	other	other	ADJ
ajst-6866	5	36	factors	factor	NOUN
ajst-6866	5	37	.	.	PUNCT
ajst-6866	6	1	meanwhile	meanwhile	ADV
ajst-6866	6	2	,	,	PUNCT
ajst-6866	6	3	the	the	DET
ajst-6866	6	4	study	study	NOUN
ajst-6866	6	5	compares	compare	VERB
ajst-6866	6	6	with	with	ADP
ajst-6866	6	7	the	the	DET
ajst-6866	6	8	arima	arima	PROPN
ajst-6866	6	9	and	and	CCONJ
ajst-6866	6	10	bp	bp	PROPN
ajst-6866	6	11	neural	neural	ADJ
ajst-6866	6	12	network	network	NOUN
ajst-6866	6	13	models	model	NOUN
ajst-6866	6	14	.	.	PUNCT
ajst-6866	7	1	the	the	DET
ajst-6866	7	2	results	result	NOUN
ajst-6866	7	3	show	show	VERB
ajst-6866	7	4	that	that	SCONJ
ajst-6866	7	5	the	the	DET
ajst-6866	7	6	accuracy	accuracy	NOUN
ajst-6866	7	7	of	of	ADP
ajst-6866	7	8	ga	ga	PROPN
ajst-6866	7	9	-	-	PUNCT
ajst-6866	7	10	bp	bp	PROPN
ajst-6866	7	11	model	model	NOUN
ajst-6866	7	12	improved	improve	VERB
ajst-6866	7	13	by	by	ADP
ajst-6866	7	14	6.06	6.06	NUM
ajst-6866	7	15	%	%	NOUN
ajst-6866	7	16	and	and	CCONJ
ajst-6866	7	17	8.69	8.69	NUM
ajst-6866	7	18	%	%	NOUN
ajst-6866	7	19	respectively	respectively	ADV
ajst-6866	7	20	which	which	PRON
ajst-6866	7	21	compared	compare	VERB
ajst-6866	7	22	with	with	ADP
ajst-6866	7	23	the	the	DET
ajst-6866	7	24	former	former	ADJ
ajst-6866	7	25	,	,	PUNCT
ajst-6866	7	26	and	and	CCONJ
ajst-6866	7	27	the	the	DET
ajst-6866	7	28	results	result	NOUN
ajst-6866	7	29	have	have	AUX
ajst-6866	7	30	improved	improve	VERB
ajst-6866	7	31	the	the	DET
ajst-6866	7	32	accuracy	accuracy	NOUN
ajst-6866	7	33	of	of	ADP
ajst-6866	7	34	passenger	passenger	NOUN
ajst-6866	7	35	flow	flow	NOUN
ajst-6866	7	36	prediction	prediction	NOUN
ajst-6866	7	37	effectively	effectively	ADV
ajst-6866	7	38	.	.	PUNCT
ajst-6866	8	1	it	it	PRON
ajst-6866	8	2	is	be	AUX
ajst-6866	8	3	proved	prove	VERB
ajst-6866	8	4	that	that	SCONJ
ajst-6866	8	5	the	the	DET
ajst-6866	8	6	combined	combined	ADJ
ajst-6866	8	7	model	model	NOUN
ajst-6866	8	8	has	have	VERB
ajst-6866	8	9	certain	certain	ADJ
ajst-6866	8	10	practical	practical	ADJ
ajst-6866	8	11	value	value	NOUN
ajst-6866	8	12	.	.	PUNCT
ajst-6866	9	1	keywords	keyword	NOUN
ajst-6866	9	2	:	:	PUNCT
ajst-6866	9	3	urban	urban	ADJ
ajst-6866	9	4	rail	rail	NOUN
ajst-6866	9	5	transit	transit	NOUN
ajst-6866	9	6	,	,	PUNCT
ajst-6866	9	7	passenger	passenger	NOUN
ajst-6866	9	8	flow	flow	NOUN
ajst-6866	9	9	forecast	forecast	NOUN
ajst-6866	9	10	,	,	PUNCT
ajst-6866	9	11	time	time	NOUN
ajst-6866	9	12	series	series	NOUN
ajst-6866	9	13	,	,	PUNCT
ajst-6866	9	14	neural	neural	ADJ
ajst-6866	9	15	network	network	NOUN
ajst-6866	9	16	,	,	PUNCT
ajst-6866	9	17	combination	combination	NOUN
ajst-6866	9	18	model	model	NOUN
ajst-6866	9	19	.	.	PUNCT
ajst-6866	10	1	1	1	X
ajst-6866	10	2	.	.	X
ajst-6866	10	3	introduction	introduction	NOUN
ajst-6866	10	4	in	in	ADP
ajst-6866	10	5	recent	recent	ADJ
ajst-6866	10	6	years	year	NOUN
ajst-6866	10	7	,	,	PUNCT
ajst-6866	10	8	china	china	PROPN
ajst-6866	10	9	’s	’s	PART
ajst-6866	10	10	economy	economy	NOUN
ajst-6866	10	11	has	have	AUX
ajst-6866	10	12	grown	grow	VERB
ajst-6866	10	13	rapidly	rapidly	ADV
ajst-6866	10	14	,	,	PUNCT
ajst-6866	10	15	and	and	CCONJ
ajst-6866	10	16	the	the	DET
ajst-6866	10	17	number	number	NOUN
ajst-6866	10	18	of	of	ADP
ajst-6866	10	19	cars	car	NOUN
ajst-6866	10	20	has	have	AUX
ajst-6866	10	21	increased	increase	VERB
ajst-6866	10	22	gradually	gradually	ADV
ajst-6866	10	23	,	,	PUNCT
ajst-6866	10	24	which	which	PRON
ajst-6866	10	25	has	have	AUX
ajst-6866	10	26	caused	cause	VERB
ajst-6866	10	27	a	a	DET
ajst-6866	10	28	series	series	NOUN
ajst-6866	10	29	of	of	ADP
ajst-6866	10	30	urban	urban	ADJ
ajst-6866	10	31	traffic	traffic	NOUN
ajst-6866	10	32	problems	problem	NOUN
ajst-6866	10	33	such	such	ADJ
ajst-6866	10	34	as	as	ADP
ajst-6866	10	35	traffic	traffic	NOUN
ajst-6866	10	36	congestion	congestion	NOUN
ajst-6866	10	37	and	and	CCONJ
ajst-6866	10	38	serious	serious	ADJ
ajst-6866	10	39	pollution	pollution	NOUN
ajst-6866	10	40	.	.	PUNCT
ajst-6866	11	1	therefore	therefore	ADV
ajst-6866	11	2	,	,	PUNCT
ajst-6866	11	3	many	many	ADJ
ajst-6866	11	4	cities	city	NOUN
ajst-6866	11	5	choose	choose	VERB
ajst-6866	11	6	to	to	PART
ajst-6866	11	7	build	build	VERB
ajst-6866	11	8	subway	subway	NOUN
ajst-6866	11	9	systems	system	NOUN
ajst-6866	11	10	to	to	PART
ajst-6866	11	11	solve	solve	VERB
ajst-6866	11	12	urban	urban	ADJ
ajst-6866	11	13	traffic	traffic	NOUN
ajst-6866	11	14	problems	problem	NOUN
ajst-6866	11	15	.	.	PUNCT
ajst-6866	12	1	with	with	ADP
ajst-6866	12	2	the	the	DET
ajst-6866	12	3	rapid	rapid	ADJ
ajst-6866	12	4	development	development	NOUN
ajst-6866	12	5	of	of	ADP
ajst-6866	12	6	the	the	DET
ajst-6866	12	7	urban	urban	ADJ
ajst-6866	12	8	rail	rail	NOUN
ajst-6866	12	9	transit	transit	NOUN
ajst-6866	12	10	system	system	NOUN
ajst-6866	12	11	,	,	PUNCT
ajst-6866	12	12	the	the	DET
ajst-6866	12	13	system	system	NOUN
ajst-6866	12	14	network	network	NOUN
ajst-6866	12	15	is	be	AUX
ajst-6866	12	16	becoming	become	VERB
ajst-6866	12	17	more	more	ADV
ajst-6866	12	18	and	and	CCONJ
ajst-6866	12	19	more	more	ADV
ajst-6866	12	20	complex	complex	ADJ
ajst-6866	12	21	,	,	PUNCT
ajst-6866	12	22	and	and	CCONJ
ajst-6866	12	23	the	the	DET
ajst-6866	12	24	passenger	passenger	NOUN
ajst-6866	12	25	flow	flow	NOUN
ajst-6866	12	26	of	of	ADP
ajst-6866	12	27	the	the	DET
ajst-6866	12	28	subway	subway	NOUN
ajst-6866	12	29	is	be	AUX
ajst-6866	12	30	increasing	increase	VERB
ajst-6866	12	31	day	day	NOUN
ajst-6866	12	32	by	by	ADP
ajst-6866	12	33	day	day	NOUN
ajst-6866	12	34	,	,	PUNCT
ajst-6866	12	35	which	which	PRON
ajst-6866	12	36	brings	bring	VERB
ajst-6866	12	37	higher	high	ADJ
ajst-6866	12	38	challenges	challenge	NOUN
ajst-6866	12	39	to	to	ADP
ajst-6866	12	40	the	the	DET
ajst-6866	12	41	operation	operation	NOUN
ajst-6866	12	42	of	of	ADP
ajst-6866	12	43	urban	urban	ADJ
ajst-6866	12	44	rail	rail	NOUN
ajst-6866	12	45	transit	transit	NOUN
ajst-6866	12	46	.	.	PUNCT
ajst-6866	13	1	how	how	SCONJ
ajst-6866	13	2	to	to	PART
ajst-6866	13	3	predict	predict	VERB
ajst-6866	13	4	the	the	DET
ajst-6866	13	5	short	short	ADJ
ajst-6866	13	6	-	-	PUNCT
ajst-6866	13	7	term	term	NOUN
ajst-6866	13	8	passenger	passenger	NOUN
ajst-6866	13	9	flow	flow	NOUN
ajst-6866	13	10	accurately	accurately	ADV
ajst-6866	13	11	is	be	AUX
ajst-6866	13	12	important	important	ADJ
ajst-6866	13	13	for	for	ADP
ajst-6866	13	14	a	a	DET
ajst-6866	13	15	reasonable	reasonable	ADJ
ajst-6866	13	16	planning	planning	NOUN
ajst-6866	13	17	and	and	CCONJ
ajst-6866	13	18	operation	operation	NOUN
ajst-6866	13	19	plan	plan	NOUN
ajst-6866	13	20	especially	especially	ADV
ajst-6866	13	21	.	.	PUNCT
ajst-6866	14	1	zhang	zhang	PROPN
ajst-6866	14	2	et	et	PROPN
ajst-6866	14	3	al	al	PROPN
ajst-6866	14	4	.	.	PUNCT
ajst-6866	15	1	[	[	X
ajst-6866	15	2	1	1	X
ajst-6866	15	3	]	]	PUNCT
ajst-6866	15	4	improved	improve	VERB
ajst-6866	15	5	the	the	DET
ajst-6866	15	6	arima	arima	NOUN
ajst-6866	15	7	model	model	NOUN
ajst-6866	15	8	for	for	ADP
ajst-6866	15	9	the	the	DET
ajst-6866	15	10	poor	poor	ADJ
ajst-6866	15	11	regularity	regularity	NOUN
ajst-6866	15	12	and	and	CCONJ
ajst-6866	15	13	significant	significant	ADJ
ajst-6866	15	14	nonlinear	nonlinear	ADJ
ajst-6866	15	15	characteristics	characteristic	NOUN
ajst-6866	15	16	of	of	ADP
ajst-6866	15	17	the	the	DET
ajst-6866	15	18	short	short	ADJ
ajst-6866	15	19	-	-	PUNCT
ajst-6866	15	20	term	term	NOUN
ajst-6866	15	21	passenger	passenger	NOUN
ajst-6866	15	22	flow	flow	NOUN
ajst-6866	15	23	data	datum	NOUN
ajst-6866	15	24	,	,	PUNCT
ajst-6866	15	25	and	and	CCONJ
ajst-6866	15	26	predicted	predict	VERB
ajst-6866	15	27	the	the	DET
ajst-6866	15	28	passenger	passenger	NOUN
ajst-6866	15	29	flow	flow	NOUN
ajst-6866	15	30	of	of	ADP
ajst-6866	15	31	the	the	DET
ajst-6866	15	32	tianfu	tianfu	PROPN
ajst-6866	15	33	square	square	PROPN
ajst-6866	15	34	station	station	NOUN
ajst-6866	15	35	of	of	ADP
ajst-6866	15	36	chengdu	chengdu	PROPN
ajst-6866	15	37	rail	rail	PROPN
ajst-6866	15	38	transit	transit	NOUN
ajst-6866	15	39	,	,	PUNCT
ajst-6866	15	40	thus	thus	ADV
ajst-6866	15	41	proving	prove	VERB
ajst-6866	15	42	that	that	SCONJ
ajst-6866	15	43	the	the	DET
ajst-6866	15	44	improved	improved	ADJ
ajst-6866	15	45	arima	arima	NOUN
ajst-6866	15	46	model	model	NOUN
ajst-6866	15	47	has	have	VERB
ajst-6866	15	48	more	more	ADJ
ajst-6866	15	49	advantages	advantage	NOUN
ajst-6866	15	50	for	for	ADP
ajst-6866	15	51	short	short	ADJ
ajst-6866	15	52	-	-	PUNCT
ajst-6866	15	53	term	term	NOUN
ajst-6866	15	54	passenger	passenger	NOUN
ajst-6866	15	55	flow	flow	NOUN
ajst-6866	15	56	prediction	prediction	NOUN
ajst-6866	15	57	;	;	PUNCT
ajst-6866	15	58	shi[2	shi[2	X
ajst-6866	15	59	]	]	PUNCT
ajst-6866	15	60	et	et	PROPN
ajst-6866	15	61	al	al	PROPN
ajst-6866	15	62	.	.	PROPN
ajst-6866	15	63	analyzed	analyze	VERB
ajst-6866	15	64	and	and	CCONJ
ajst-6866	15	65	predicted	predict	VERB
ajst-6866	15	66	the	the	DET
ajst-6866	15	67	passenger	passenger	NOUN
ajst-6866	15	68	flow	flow	NOUN
ajst-6866	15	69	of	of	ADP
ajst-6866	15	70	rail	rail	NOUN
ajst-6866	15	71	transit	transit	NOUN
ajst-6866	15	72	through	through	ADP
ajst-6866	15	73	random	random	ADJ
ajst-6866	15	74	forest	forest	NOUN
ajst-6866	15	75	(	(	PUNCT
ajst-6866	15	76	rf	rf	NOUN
ajst-6866	15	77	)	)	PUNCT
ajst-6866	15	78	,	,	PUNCT
ajst-6866	15	79	bp	bp	PROPN
ajst-6866	15	80	neural	neural	ADJ
ajst-6866	15	81	network	network	NOUN
ajst-6866	15	82	,	,	PUNCT
ajst-6866	15	83	long	long	ADJ
ajst-6866	15	84	-	-	PUNCT
ajst-6866	15	85	term	term	NOUN
ajst-6866	15	86	short	short	ADJ
ajst-6866	15	87	-	-	PUNCT
ajst-6866	15	88	term	term	NOUN
ajst-6866	15	89	memory	memory	NOUN
ajst-6866	15	90	neural	neural	ADJ
ajst-6866	15	91	network	network	NOUN
ajst-6866	15	92	(	(	PUNCT
ajst-6866	15	93	lstm	lstm	PROPN
ajst-6866	15	94	)	)	PUNCT
ajst-6866	15	95	,	,	PUNCT
ajst-6866	15	96	and	and	CCONJ
ajst-6866	15	97	compared	compare	VERB
ajst-6866	15	98	mae	mae	PROPN
ajst-6866	15	99	,	,	PUNCT
ajst-6866	15	100	r2	r2	PROPN
ajst-6866	15	101	and	and	CCONJ
ajst-6866	15	102	other	other	ADJ
ajst-6866	15	103	indicators	indicator	NOUN
ajst-6866	15	104	to	to	PART
ajst-6866	15	105	prove	prove	VERB
ajst-6866	15	106	that	that	SCONJ
ajst-6866	15	107	the	the	DET
ajst-6866	15	108	lstm	lstm	PROPN
ajst-6866	15	109	model	model	NOUN
ajst-6866	15	110	fits	fit	VERB
ajst-6866	15	111	better	well	ADV
ajst-6866	15	112	;	;	PUNCT
ajst-6866	15	113	lv	lv	PROPN
ajst-6866	15	114	et	et	PROPN
ajst-6866	15	115	al.[3	al.[3	PROPN
ajst-6866	15	116	]	]	PUNCT
ajst-6866	15	117	used	use	VERB
ajst-6866	15	118	a	a	DET
ajst-6866	15	119	two	two	NUM
ajst-6866	15	120	-	-	PUNCT
ajst-6866	15	121	way	way	NOUN
ajst-6866	15	122	lstm	lstm	PROPN
ajst-6866	15	123	prediction	prediction	NOUN
ajst-6866	15	124	model	model	NOUN
ajst-6866	15	125	,	,	PUNCT
ajst-6866	15	126	based	base	VERB
ajst-6866	15	127	on	on	ADP
ajst-6866	15	128	the	the	DET
ajst-6866	15	129	passenger	passenger	NOUN
ajst-6866	15	130	flow	flow	NOUN
ajst-6866	15	131	data	datum	NOUN
ajst-6866	15	132	of	of	ADP
ajst-6866	15	133	guangzhou	guangzhou	PROPN
ajst-6866	15	134	south	south	PROPN
ajst-6866	15	135	railway	railway	PROPN
ajst-6866	15	136	station	station	NOUN
ajst-6866	15	137	,	,	PUNCT
ajst-6866	15	138	zhuhai	zhuhai	PROPN
ajst-6866	15	139	station	station	PROPN
ajst-6866	15	140	and	and	CCONJ
ajst-6866	15	141	xiaolan	xiaolan	PROPN
ajst-6866	15	142	station	station	NOUN
ajst-6866	15	143	,	,	PUNCT
ajst-6866	15	144	and	and	CCONJ
ajst-6866	15	145	improved	improve	VERB
ajst-6866	15	146	the	the	DET
ajst-6866	15	147	prediction	prediction	NOUN
ajst-6866	15	148	accuracy	accuracy	NOUN
ajst-6866	15	149	by	by	ADP
ajst-6866	15	150	adjusting	adjust	VERB
ajst-6866	15	151	the	the	DET
ajst-6866	15	152	model	model	NOUN
ajst-6866	15	153	step	step	NOUN
ajst-6866	15	154	size	size	NOUN
ajst-6866	15	155	.	.	PUNCT
ajst-6866	16	1	the	the	DET
ajst-6866	16	2	results	result	NOUN
ajst-6866	16	3	of	of	ADP
ajst-6866	16	4	the	the	DET
ajst-6866	16	5	study	study	NOUN
ajst-6866	16	6	show	show	VERB
ajst-6866	16	7	that	that	SCONJ
ajst-6866	16	8	the	the	DET
ajst-6866	16	9	accuracy	accuracy	NOUN
ajst-6866	16	10	of	of	ADP
ajst-6866	16	11	the	the	DET
ajst-6866	16	12	improved	improved	ADJ
ajst-6866	16	13	bi	bi	ADJ
ajst-6866	16	14	-	-	ADJ
ajst-6866	16	15	lstm	lstm	ADJ
ajst-6866	16	16	model	model	NOUN
ajst-6866	16	17	is	be	AUX
ajst-6866	16	18	better	well	ADJ
ajst-6866	16	19	than	than	ADP
ajst-6866	16	20	that	that	PRON
ajst-6866	16	21	of	of	ADP
ajst-6866	16	22	the	the	DET
ajst-6866	16	23	lstm	lstm	PROPN
ajst-6866	16	24	model	model	NOUN
ajst-6866	16	25	;	;	PUNCT
ajst-6866	16	26	zhao	zhao	PROPN
ajst-6866	16	27	et	et	PROPN
ajst-6866	16	28	al	al	PROPN
ajst-6866	16	29	.	.	PUNCT
ajst-6866	17	1	[	[	X
ajst-6866	17	2	4	4	X
ajst-6866	17	3	]	]	PUNCT
ajst-6866	17	4	proposed	propose	VERB
ajst-6866	17	5	ipso	ipso	ADJ
ajst-6866	17	6	-	-	PUNCT
ajst-6866	17	7	lstm	lstm	ADJ
ajst-6866	17	8	model	model	NOUN
ajst-6866	17	9	to	to	PART
ajst-6866	17	10	solve	solve	VERB
ajst-6866	17	11	the	the	DET
ajst-6866	17	12	problem	problem	NOUN
ajst-6866	17	13	that	that	PRON
ajst-6866	17	14	particle	particle	NOUN
ajst-6866	17	15	swarm	swarm	NOUN
ajst-6866	17	16	optimization	optimization	NOUN
ajst-6866	17	17	(	(	PUNCT
ajst-6866	17	18	pso	pso	NOUN
ajst-6866	17	19	)	)	PUNCT
ajst-6866	17	20	is	be	AUX
ajst-6866	17	21	prone	prone	ADJ
ajst-6866	17	22	to	to	PART
ajst-6866	17	23	fall	fall	VERB
ajst-6866	17	24	into	into	ADP
ajst-6866	17	25	local	local	ADJ
ajst-6866	17	26	optimization	optimization	NOUN
ajst-6866	17	27	.	.	PUNCT
ajst-6866	18	1	by	by	ADP
ajst-6866	18	2	adding	add	VERB
ajst-6866	18	3	a	a	DET
ajst-6866	18	4	dynamic	dynamic	ADJ
ajst-6866	18	5	adaptive	adaptive	ADJ
ajst-6866	18	6	inertia	inertia	NOUN
ajst-6866	18	7	weight	weight	NOUN
ajst-6866	18	8	to	to	PART
ajst-6866	18	9	prevent	prevent	VERB
ajst-6866	18	10	falling	fall	VERB
ajst-6866	18	11	into	into	ADP
ajst-6866	18	12	local	local	ADJ
ajst-6866	18	13	optimization	optimization	NOUN
ajst-6866	18	14	,	,	PUNCT
ajst-6866	18	15	the	the	DET
ajst-6866	18	16	passenger	passenger	NOUN
ajst-6866	18	17	flow	flow	NOUN
ajst-6866	18	18	of	of	ADP
ajst-6866	18	19	rail	rail	NOUN
ajst-6866	18	20	transit	transit	NOUN
ajst-6866	18	21	is	be	AUX
ajst-6866	18	22	predicted	predict	VERB
ajst-6866	18	23	.	.	PUNCT
ajst-6866	19	1	the	the	DET
ajst-6866	19	2	experimental	experimental	ADJ
ajst-6866	19	3	results	result	NOUN
ajst-6866	19	4	show	show	VERB
ajst-6866	19	5	that	that	SCONJ
ajst-6866	19	6	the	the	DET
ajst-6866	19	7	prediction	prediction	NOUN
ajst-6866	19	8	accuracy	accuracy	NOUN
ajst-6866	19	9	of	of	ADP
ajst-6866	19	10	the	the	DET
ajst-6866	19	11	combined	combined	ADJ
ajst-6866	19	12	model	model	NOUN
ajst-6866	19	13	is	be	AUX
ajst-6866	19	14	better	well	ADJ
ajst-6866	19	15	than	than	ADP
ajst-6866	19	16	that	that	PRON
ajst-6866	19	17	of	of	ADP
ajst-6866	19	18	pso	pso	NOUN
ajst-6866	19	19	-	-	PUNCT
ajst-6866	19	20	lstm	lstm	NOUN
ajst-6866	19	21	model	model	NOUN
ajst-6866	19	22	;	;	PUNCT
ajst-6866	19	23	halyal	halyal	PROPN
ajst-6866	19	24	et	et	PROPN
ajst-6866	19	25	al	al	PROPN
ajst-6866	19	26	.	.	PUNCT
ajst-6866	20	1	[	[	X
ajst-6866	20	2	5	5	NUM
ajst-6866	20	3	]	]	PUNCT
ajst-6866	20	4	used	use	VERB
ajst-6866	20	5	afc	afc	PROPN
ajst-6866	20	6	system	system	NOUN
ajst-6866	20	7	to	to	PART
ajst-6866	20	8	forecast	forecast	VERB
ajst-6866	20	9	passenger	passenger	NOUN
ajst-6866	20	10	flow	flow	NOUN
ajst-6866	20	11	based	base	VERB
ajst-6866	20	12	on	on	ADP
ajst-6866	20	13	lstm	lstm	NOUN
ajst-6866	20	14	model	model	NOUN
ajst-6866	20	15	and	and	CCONJ
ajst-6866	20	16	seasonal	seasonal	ADJ
ajst-6866	20	17	autoregressive	autoregressive	ADJ
ajst-6866	20	18	moving	move	VERB
ajst-6866	20	19	average	average	ADJ
ajst-6866	20	20	model	model	NOUN
ajst-6866	20	21	(	(	PUNCT
ajst-6866	20	22	sarima	sarima	NOUN
ajst-6866	20	23	)	)	PUNCT
ajst-6866	20	24	.	.	PUNCT
ajst-6866	21	1	the	the	DET
ajst-6866	21	2	research	research	NOUN
ajst-6866	21	3	results	result	NOUN
ajst-6866	21	4	show	show	VERB
ajst-6866	21	5	that	that	SCONJ
ajst-6866	21	6	the	the	DET
ajst-6866	21	7	model	model	NOUN
ajst-6866	21	8	can	can	AUX
ajst-6866	21	9	be	be	AUX
ajst-6866	21	10	well	well	ADV
ajst-6866	21	11	applied	apply	VERB
ajst-6866	21	12	to	to	ADP
ajst-6866	21	13	the	the	DET
ajst-6866	21	14	traffic	traffic	NOUN
ajst-6866	21	15	conditions	condition	NOUN
ajst-6866	21	16	of	of	ADP
ajst-6866	21	17	developing	develop	VERB
ajst-6866	21	18	countries	country	NOUN
ajst-6866	21	19	,	,	PUNCT
ajst-6866	21	20	guo	guo	PROPN
ajst-6866	21	21	et	et	PROPN
ajst-6866	21	22	al	al	PROPN
ajst-6866	21	23	.	.	PUNCT
ajst-6866	22	1	[	[	X
ajst-6866	22	2	6	6	NUM
ajst-6866	22	3	]	]	PUNCT
ajst-6866	22	4	proposed	propose	VERB
ajst-6866	22	5	svm	svm	ADJ
ajst-6866	22	6	-	-	ADJ
ajst-6866	22	7	lstm	lstm	ADJ
ajst-6866	22	8	combined	combined	ADJ
ajst-6866	22	9	model	model	NOUN
ajst-6866	22	10	to	to	PART
ajst-6866	22	11	solve	solve	VERB
ajst-6866	22	12	the	the	DET
ajst-6866	22	13	problem	problem	NOUN
ajst-6866	22	14	of	of	ADP
ajst-6866	22	15	difficult	difficult	ADJ
ajst-6866	22	16	prediction	prediction	NOUN
ajst-6866	22	17	of	of	ADP
ajst-6866	22	18	abnormal	abnormal	ADJ
ajst-6866	22	19	passenger	passenger	NOUN
ajst-6866	22	20	flow	flow	NOUN
ajst-6866	22	21	.	.	PUNCT
ajst-6866	23	1	the	the	DET
ajst-6866	23	2	results	result	NOUN
ajst-6866	23	3	show	show	VERB
ajst-6866	23	4	that	that	SCONJ
ajst-6866	23	5	the	the	DET
ajst-6866	23	6	svm	svm	ADJ
ajst-6866	23	7	-	-	PUNCT
ajst-6866	23	8	lstm	lstm	ADJ
ajst-6866	23	9	model	model	NOUN
ajst-6866	23	10	is	be	AUX
ajst-6866	23	11	more	more	ADV
ajst-6866	23	12	sensitive	sensitive	ADJ
ajst-6866	23	13	to	to	ADP
ajst-6866	23	14	abnormal	abnormal	ADJ
ajst-6866	23	15	changes	change	NOUN
ajst-6866	23	16	of	of	ADP
ajst-6866	23	17	passenger	passenger	NOUN
ajst-6866	23	18	flow	flow	NOUN
ajst-6866	23	19	than	than	ADP
ajst-6866	23	20	the	the	DET
ajst-6866	23	21	single	single	ADJ
ajst-6866	23	22	model	model	NOUN
ajst-6866	23	23	,	,	PUNCT
ajst-6866	23	24	and	and	CCONJ
ajst-6866	23	25	the	the	DET
ajst-6866	23	26	prediction	prediction	NOUN
ajst-6866	23	27	accuracy	accuracy	NOUN
ajst-6866	23	28	is	be	AUX
ajst-6866	23	29	higher	high	ADJ
ajst-6866	23	30	.	.	PUNCT
ajst-6866	24	1	to	to	PART
ajst-6866	24	2	sum	sum	VERB
ajst-6866	24	3	up	up	ADP
ajst-6866	24	4	,	,	PUNCT
ajst-6866	24	5	the	the	DET
ajst-6866	24	6	existing	exist	VERB
ajst-6866	24	7	methods	method	NOUN
ajst-6866	24	8	for	for	ADP
ajst-6866	24	9	short	short	ADJ
ajst-6866	24	10	-	-	PUNCT
ajst-6866	24	11	term	term	NOUN
ajst-6866	24	12	passenger	passenger	NOUN
ajst-6866	24	13	flow	flow	NOUN
ajst-6866	24	14	prediction	prediction	NOUN
ajst-6866	24	15	of	of	ADP
ajst-6866	24	16	rail	rail	NOUN
ajst-6866	24	17	transit	transit	NOUN
ajst-6866	24	18	are	be	AUX
ajst-6866	24	19	mainly	mainly	ADV
ajst-6866	24	20	to	to	PART
ajst-6866	24	21	improve	improve	VERB
ajst-6866	24	22	the	the	DET
ajst-6866	24	23	prediction	prediction	NOUN
ajst-6866	24	24	accuracy	accuracy	NOUN
ajst-6866	24	25	by	by	ADP
ajst-6866	24	26	combining	combine	VERB
ajst-6866	24	27	time	time	NOUN
ajst-6866	24	28	series	series	NOUN
ajst-6866	24	29	and	and	CCONJ
ajst-6866	24	30	neural	neural	ADJ
ajst-6866	24	31	network	network	NOUN
ajst-6866	24	32	with	with	ADP
ajst-6866	24	33	other	other	ADJ
ajst-6866	24	34	algorithms	algorithm	NOUN
ajst-6866	24	35	.	.	PUNCT
ajst-6866	25	1	according	accord	VERB
ajst-6866	25	2	to	to	ADP
ajst-6866	25	3	the	the	DET
ajst-6866	25	4	characteristics	characteristic	NOUN
ajst-6866	25	5	and	and	CCONJ
ajst-6866	25	6	practicability	practicability	NOUN
ajst-6866	25	7	of	of	ADP
ajst-6866	25	8	genetic	genetic	ADJ
ajst-6866	25	9	algorithm	algorithm	NOUN
ajst-6866	25	10	,	,	PUNCT
ajst-6866	25	11	this	this	DET
ajst-6866	25	12	paper	paper	NOUN
ajst-6866	25	13	combines	combine	VERB
ajst-6866	25	14	it	it	PRON
ajst-6866	25	15	with	with	ADP
ajst-6866	25	16	neural	neural	ADJ
ajst-6866	25	17	network	network	NOUN
ajst-6866	25	18	to	to	PART
ajst-6866	25	19	build	build	VERB
ajst-6866	25	20	a	a	DET
ajst-6866	25	21	ga	ga	PROPN
ajst-6866	25	22	-	-	PUNCT
ajst-6866	25	23	bp	bp	PROPN
ajst-6866	25	24	combination	combination	NOUN
ajst-6866	25	25	model	model	NOUN
ajst-6866	25	26	to	to	PART
ajst-6866	25	27	predict	predict	VERB
ajst-6866	25	28	the	the	DET
ajst-6866	25	29	passenger	passenger	NOUN
ajst-6866	25	30	flow	flow	NOUN
ajst-6866	25	31	.	.	PUNCT
ajst-6866	26	1	based	base	VERB
ajst-6866	26	2	on	on	ADP
ajst-6866	26	3	the	the	DET
ajst-6866	26	4	passenger	passenger	NOUN
ajst-6866	26	5	flow	flow	NOUN
ajst-6866	26	6	data	datum	NOUN
ajst-6866	26	7	of	of	ADP
ajst-6866	26	8	suzhou	suzhou	PROPN
ajst-6866	26	9	metro	metro	PROPN
ajst-6866	26	10	line	line	PROPN
ajst-6866	26	11	1	1	NUM
ajst-6866	26	12	,	,	PUNCT
ajst-6866	26	13	we	we	PRON
ajst-6866	26	14	use	use	VERB
ajst-6866	26	15	python	python	NOUN
ajst-6866	26	16	to	to	ADP
ajst-6866	26	17	the	the	DET
ajst-6866	26	18	program	program	NOUN
ajst-6866	26	19	and	and	CCONJ
ajst-6866	26	20	make	make	VERB
ajst-6866	26	21	a	a	DET
ajst-6866	26	22	short	short	ADJ
ajst-6866	26	23	-	-	PUNCT
ajst-6866	26	24	term	term	NOUN
ajst-6866	26	25	prediction	prediction	NOUN
ajst-6866	26	26	of	of	ADP
ajst-6866	26	27	passenger	passenger	NOUN
ajst-6866	26	28	flow	flow	NOUN
ajst-6866	26	29	.	.	PUNCT
ajst-6866	27	1	2	2	X
ajst-6866	27	2	.	.	X
ajst-6866	27	3	model	model	NOUN
ajst-6866	27	4	method	method	PROPN
ajst-6866	27	5	2.1	2.1	NUM
ajst-6866	27	6	.	.	PUNCT
ajst-6866	28	1	arima	arima	PROPN
ajst-6866	28	2	method	method	NOUN
ajst-6866	28	3	arima	arima	PROPN
ajst-6866	28	4	(	(	PUNCT
ajst-6866	28	5	p	p	X
ajst-6866	28	6	,	,	PUNCT
ajst-6866	28	7	d	d	NOUN
ajst-6866	28	8	,	,	PUNCT
ajst-6866	28	9	q	q	NOUN
ajst-6866	28	10	)	)	PUNCT
ajst-6866	28	11	model	model	NOUN
ajst-6866	28	12	is	be	AUX
ajst-6866	28	13	a	a	DET
ajst-6866	28	14	differential	differential	ADJ
ajst-6866	28	15	autocorrelation	autocorrelation	NOUN
ajst-6866	28	16	moving	move	VERB
ajst-6866	28	17	average	average	ADJ
ajst-6866	28	18	model	model	NOUN
ajst-6866	28	19	.	.	PUNCT
ajst-6866	29	1	it	it	PRON
ajst-6866	29	2	is	be	AUX
ajst-6866	29	3	one	one	NUM
ajst-6866	29	4	of	of	ADP
ajst-6866	29	5	the	the	DET
ajst-6866	29	6	commonly	commonly	ADV
ajst-6866	29	7	used	use	VERB
ajst-6866	29	8	methods	method	NOUN
ajst-6866	29	9	for	for	ADP
ajst-6866	29	10	short	short	ADJ
ajst-6866	29	11	-	-	PUNCT
ajst-6866	29	12	term	term	NOUN
ajst-6866	29	13	passenger	passenger	NOUN
ajst-6866	29	14	flow	flow	NOUN
ajst-6866	29	15	prediction	prediction	NOUN
ajst-6866	29	16	of	of	ADP
ajst-6866	29	17	rail	rail	NOUN
ajst-6866	29	18	transit[7	transit[7	NOUN
ajst-6866	29	19	]	]	PUNCT
ajst-6866	29	20	.	.	PUNCT
ajst-6866	30	1	arima	arima	PROPN
ajst-6866	30	2	model	model	NOUN
ajst-6866	30	3	is	be	AUX
ajst-6866	30	4	composed	compose	VERB
ajst-6866	30	5	of	of	ADP
ajst-6866	30	6	the	the	DET
ajst-6866	30	7	ar	ar	NOUN
ajst-6866	30	8	model	model	NOUN
ajst-6866	30	9	and	and	CCONJ
ajst-6866	30	10	the	the	DET
ajst-6866	30	11	ma	ma	PROPN
ajst-6866	30	12	model	model	PROPN
ajst-6866	30	13	.	.	PUNCT
ajst-6866	31	1	its	its	PRON
ajst-6866	31	2	general	general	ADJ
ajst-6866	31	3	form	form	NOUN
ajst-6866	31	4	is	be	AUX
ajst-6866	31	5	shown	show	VERB
ajst-6866	31	6	in	in	ADP
ajst-6866	31	7	formula	formula	NOUN
ajst-6866	31	8	(	(	PUNCT
ajst-6866	31	9	1	1	NUM
ajst-6866	31	10	):	):	SYM
ajst-6866	31	11	1	1	NUM
ajst-6866	31	12	1	1	NUM
ajst-6866	31	13	p	p	NOUN
ajst-6866	32	1	q	q	NOUN
ajst-6866	32	2	t	t	NOUN
ajst-6866	33	1	i	i	PRON
ajst-6866	33	2	t	t	X
ajst-6866	34	1	i	i	PRON
ajst-6866	34	2	t	t	X
ajst-6866	35	1	i	i	PRON
ajst-6866	35	2	t	t	VERB
ajst-6866	36	1	i	i	PRON
ajst-6866	37	1	i	i	PRON
ajst-6866	38	1	i	i	VERB
ajst-6866	38	2	y	y	VERB
ajst-6866	38	3	y	y	NUM
ajst-6866	38	4			NUM
ajst-6866	38	5			PROPN
ajst-6866	38	6			PROPN
ajst-6866	39	1			PROPN
ajst-6866	39	2			PROPN
ajst-6866	39	3			NUM
ajst-6866	39	4			NUM
ajst-6866	39	5			PROPN
ajst-6866	39	6			ADV
ajst-6866	39	7			PUNCT
ajst-6866	39	8			X
ajst-6866	39	9			X
ajst-6866	39	10	(	(	PUNCT
ajst-6866	39	11	1	1	X
ajst-6866	39	12	)	)	PUNCT
ajst-6866	39	13	in	in	ADP
ajst-6866	39	14	the	the	DET
ajst-6866	39	15	above	above	ADJ
ajst-6866	39	16	formula	formula	NOUN
ajst-6866	39	17	,	,	PUNCT
ajst-6866	39	18	ty	ty	INTJ
ajst-6866	39	19	is	be	AUX
ajst-6866	39	20	the	the	DET
ajst-6866	39	21	current	current	ADJ
ajst-6866	39	22	value	value	NOUN
ajst-6866	39	23	,	,	PUNCT
ajst-6866	39	24			NOUN
ajst-6866	39	25	is	be	AUX
ajst-6866	39	26	a	a	DET
ajst-6866	39	27	constant	constant	ADJ
ajst-6866	39	28	term	term	NOUN
ajst-6866	39	29	,	,	PUNCT
ajst-6866	39	30	p	p	NOUN
ajst-6866	39	31	and	and	CCONJ
ajst-6866	39	32	q	q	NOUN
ajst-6866	39	33	are	be	AUX
ajst-6866	39	34	orders	order	NOUN
ajst-6866	39	35	,	,	PUNCT
ajst-6866	39	36	i	i	NOUN
ajst-6866	39	37	and	and	CCONJ
ajst-6866	39	38	i	i	NOUN
ajst-6866	39	39	are	be	AUX
ajst-6866	39	40	the	the	DET
ajst-6866	39	41	correlation	correlation	NOUN
ajst-6866	39	42	coefficients	coefficient	NOUN
ajst-6866	39	43	of	of	ADP
ajst-6866	39	44	ar	ar	NOUN
ajst-6866	39	45	and	and	CCONJ
ajst-6866	39	46	ma	ma	PROPN
ajst-6866	39	47	models	model	NOUN
ajst-6866	39	48	,	,	PUNCT
ajst-6866	39	49	respectively	respectively	ADV
ajst-6866	39	50	,	,	PUNCT
ajst-6866	39	51	t	t	PROPN
ajst-6866	39	52	is	be	AUX
ajst-6866	39	53	the	the	DET
ajst-6866	39	54	residual	residual	ADJ
ajst-6866	39	55	sequence	sequence	NOUN
ajst-6866	39	56	.	.	PUNCT
ajst-6866	40	1	the	the	DET
ajst-6866	40	2	basic	basic	ADJ
ajst-6866	40	3	flow	flow	NOUN
ajst-6866	40	4	of	of	ADP
ajst-6866	40	5	the	the	DET
ajst-6866	40	6	model	model	NOUN
ajst-6866	40	7	prediction	prediction	NOUN
ajst-6866	40	8	is	be	AUX
ajst-6866	40	9	shown	show	VERB
ajst-6866	40	10	in	in	ADP
ajst-6866	40	11	figure	figure	NOUN
ajst-6866	40	12	1	1	NUM
ajst-6866	40	13	.	.	PUNCT
ajst-6866	40	14	201	201	NUM
ajst-6866	40	15	figure	figure	NOUN
ajst-6866	40	16	1	1	NUM
ajst-6866	40	17	.	.	PUNCT
ajst-6866	41	1	arima	arima	PROPN
ajst-6866	41	2	model	model	NOUN
ajst-6866	41	3	modeling	modeling	NOUN
ajst-6866	41	4	process	process	NOUN
ajst-6866	41	5	2.2	2.2	NUM
ajst-6866	41	6	.	.	PUNCT
ajst-6866	42	1	bp	bp	PROPN
ajst-6866	42	2	neural	neural	PROPN
ajst-6866	42	3	network	network	PROPN
ajst-6866	42	4	model	model	PROPN
ajst-6866	42	5	bp	bp	PROPN
ajst-6866	42	6	neural	neural	PROPN
ajst-6866	42	7	network	network	NOUN
ajst-6866	42	8	is	be	AUX
ajst-6866	42	9	a	a	DET
ajst-6866	42	10	basic	basic	ADJ
ajst-6866	42	11	and	and	CCONJ
ajst-6866	42	12	widely	widely	ADV
ajst-6866	42	13	used	use	VERB
ajst-6866	42	14	model	model	NOUN
ajst-6866	42	15	at	at	ADP
ajst-6866	42	16	present	present	NOUN
ajst-6866	42	17	.	.	PUNCT
ajst-6866	43	1	it	it	PRON
ajst-6866	43	2	is	be	AUX
ajst-6866	43	3	mainly	mainly	ADV
ajst-6866	43	4	divided	divide	VERB
ajst-6866	43	5	into	into	ADP
ajst-6866	43	6	two	two	NUM
ajst-6866	43	7	processes	process	NOUN
ajst-6866	43	8	:	:	PUNCT
ajst-6866	43	9	forward	forward	ADJ
ajst-6866	43	10	transfer	transfer	NOUN
ajst-6866	43	11	of	of	ADP
ajst-6866	43	12	calculation	calculation	NOUN
ajst-6866	43	13	results	result	NOUN
ajst-6866	43	14	and	and	CCONJ
ajst-6866	43	15	reverse	reverse	ADJ
ajst-6866	43	16	transfer	transfer	NOUN
ajst-6866	43	17	of	of	ADP
ajst-6866	43	18	calculation	calculation	NOUN
ajst-6866	43	19	errors	error	NOUN
ajst-6866	43	20	[	[	X
ajst-6866	43	21	8	8	NUM
ajst-6866	43	22	]	]	PUNCT
ajst-6866	43	23	.	.	PUNCT
ajst-6866	44	1	forward	forward	ADJ
ajst-6866	44	2	propagation	propagation	NOUN
ajst-6866	44	3	is	be	AUX
ajst-6866	44	4	mainly	mainly	ADV
ajst-6866	44	5	responsible	responsible	ADJ
ajst-6866	44	6	for	for	ADP
ajst-6866	44	7	calculating	calculate	VERB
ajst-6866	44	8	the	the	DET
ajst-6866	44	9	final	final	ADJ
ajst-6866	44	10	predicted	predict	VERB
ajst-6866	44	11	value	value	NOUN
ajst-6866	44	12	according	accord	VERB
ajst-6866	44	13	to	to	ADP
ajst-6866	44	14	the	the	DET
ajst-6866	44	15	input	input	NOUN
ajst-6866	44	16	value	value	NOUN
ajst-6866	44	17	,	,	PUNCT
ajst-6866	44	18	backpropagating	backpropagate	VERB
ajst-6866	44	19	the	the	DET
ajst-6866	44	20	main	main	ADJ
ajst-6866	44	21	error	error	NOUN
ajst-6866	44	22	feedforward	feedforward	NOUN
ajst-6866	44	23	,	,	PUNCT
ajst-6866	44	24	and	and	CCONJ
ajst-6866	44	25	constantly	constantly	ADV
ajst-6866	44	26	adjusting	adjust	VERB
ajst-6866	44	27	each	each	DET
ajst-6866	44	28	weight	weight	NOUN
ajst-6866	44	29	in	in	ADP
ajst-6866	44	30	this	this	DET
ajst-6866	44	31	process	process	NOUN
ajst-6866	44	32	[	[	X
ajst-6866	44	33	9	9	NUM
ajst-6866	44	34	]	]	PUNCT
ajst-6866	44	35	.	.	PUNCT
ajst-6866	45	1	the	the	DET
ajst-6866	45	2	model	model	NOUN
ajst-6866	45	3	structure	structure	NOUN
ajst-6866	45	4	is	be	AUX
ajst-6866	45	5	shown	show	VERB
ajst-6866	45	6	in	in	ADP
ajst-6866	45	7	figure	figure	NOUN
ajst-6866	45	8	2	2	NUM
ajst-6866	45	9	.	.	PUNCT
ajst-6866	46	1	x1	x1	NUM
ajst-6866	47	1	x2	x2	NOUN
ajst-6866	47	2	x3	x3	PROPN
ajst-6866	47	3	xp	xp	INTJ
ajst-6866	47	4	...	...	PUNCT
ajst-6866	48	1	z1	z1	PROPN
ajst-6866	48	2	z2	z2	PROPN
ajst-6866	48	3	zm	zm	PROPN
ajst-6866	48	4	...	...	PUNCT
ajst-6866	49	1	y1	y1	INTJ
ajst-6866	49	2	y2	y2	INTJ
ajst-6866	49	3	yk	yk	PROPN
ajst-6866	49	4	...	...	PUNCT
ajst-6866	49	5	input	input	NOUN
ajst-6866	49	6	layer	layer	NOUN
ajst-6866	49	7	hidden	hide	VERB
ajst-6866	49	8	layer	layer	NOUN
ajst-6866	49	9	output	output	NOUN
ajst-6866	49	10	layer	layer	NOUN
ajst-6866	49	11	input	input	NOUN
ajst-6866	49	12	∑	∑	PROPN
ajst-6866	49	13	f	f	PROPN
ajst-6866	49	14	an	an	DET
ajst-6866	49	15	b	b	PROPN
ajst-6866	49	16	neuron	neuron	NOUN
ajst-6866	49	17	with	with	ADP
ajst-6866	49	18	bias	bias	NOUN
ajst-6866	49	19	w1	w1	NOUN
ajst-6866	49	20	w2	w2	PROPN
ajst-6866	49	21	wp	wp	PROPN
ajst-6866	49	22	p	p	PROPN
ajst-6866	49	23	single	single	ADJ
ajst-6866	49	24	neuron	neuron	NOUN
ajst-6866	49	25	ihw	ihw	PROPN
ajst-6866	49	26	how	how	SCONJ
ajst-6866	49	27	figure	figure	NOUN
ajst-6866	49	28	2	2	NUM
ajst-6866	49	29	.	.	PUNCT
ajst-6866	49	30	bp	bp	PROPN
ajst-6866	49	31	neural	neural	PROPN
ajst-6866	49	32	network	network	PROPN
ajst-6866	49	33	model	model	NOUN
ajst-6866	49	34	structure	structure	NOUN
ajst-6866	49	35	bp	bp	PROPN
ajst-6866	49	36	neural	neural	PROPN
ajst-6866	49	37	network	network	NOUN
ajst-6866	49	38	has	have	VERB
ajst-6866	49	39	many	many	ADJ
ajst-6866	49	40	advantages	advantage	NOUN
ajst-6866	49	41	:	:	PUNCT
ajst-6866	49	42	(	(	PUNCT
ajst-6866	49	43	1	1	X
ajst-6866	49	44	)	)	PUNCT
ajst-6866	49	45	in	in	ADP
ajst-6866	49	46	the	the	DET
ajst-6866	49	47	process	process	NOUN
ajst-6866	49	48	of	of	ADP
ajst-6866	49	49	network	network	NOUN
ajst-6866	49	50	training	training	NOUN
ajst-6866	49	51	,	,	PUNCT
ajst-6866	49	52	bp	bp	PROPN
ajst-6866	49	53	neural	neural	ADJ
ajst-6866	49	54	network	network	NOUN
ajst-6866	49	55	compares	compare	VERB
ajst-6866	49	56	the	the	DET
ajst-6866	49	57	difference	difference	NOUN
ajst-6866	49	58	between	between	ADP
ajst-6866	49	59	the	the	DET
ajst-6866	49	60	output	output	NOUN
ajst-6866	49	61	value	value	NOUN
ajst-6866	49	62	and	and	CCONJ
ajst-6866	49	63	the	the	DET
ajst-6866	49	64	label	label	NOUN
ajst-6866	49	65	to	to	PART
ajst-6866	49	66	improve	improve	VERB
ajst-6866	49	67	the	the	DET
ajst-6866	49	68	prediction	prediction	NOUN
ajst-6866	49	69	accuracy	accuracy	NOUN
ajst-6866	49	70	constantly	constantly	ADV
ajst-6866	49	71	.	.	PUNCT
ajst-6866	50	1	(	(	PUNCT
ajst-6866	50	2	2	2	X
ajst-6866	50	3	)	)	PUNCT
ajst-6866	50	4	the	the	DET
ajst-6866	50	5	bp	bp	PROPN
ajst-6866	50	6	neural	neural	PROPN
ajst-6866	50	7	network	network	NOUN
ajst-6866	50	8	has	have	VERB
ajst-6866	50	9	strong	strong	ADJ
ajst-6866	50	10	fault	fault	NOUN
ajst-6866	50	11	tolerance	tolerance	NOUN
ajst-6866	50	12	,	,	PUNCT
ajst-6866	50	13	that	that	ADV
ajst-6866	50	14	is	is	ADV
ajst-6866	50	15	,	,	PUNCT
ajst-6866	50	16	the	the	DET
ajst-6866	50	17	abnormal	abnormal	ADJ
ajst-6866	50	18	weight	weight	NOUN
ajst-6866	50	19	of	of	ADP
ajst-6866	50	20	a	a	DET
ajst-6866	50	21	neuron	neuron	NOUN
ajst-6866	50	22	in	in	ADP
ajst-6866	50	23	the	the	DET
ajst-6866	50	24	neural	neural	ADJ
ajst-6866	50	25	network	network	NOUN
ajst-6866	50	26	will	will	AUX
ajst-6866	50	27	not	not	PART
ajst-6866	50	28	have	have	VERB
ajst-6866	50	29	a	a	DET
ajst-6866	50	30	great	great	ADJ
ajst-6866	50	31	influence	influence	NOUN
ajst-6866	50	32	on	on	ADP
ajst-6866	50	33	the	the	DET
ajst-6866	50	34	prediction	prediction	NOUN
ajst-6866	50	35	of	of	ADP
ajst-6866	50	36	the	the	DET
ajst-6866	50	37	network	network	NOUN
ajst-6866	50	38	.	.	PUNCT
ajst-6866	51	1	(	(	PUNCT
ajst-6866	51	2	3	3	X
ajst-6866	51	3	)	)	PUNCT
ajst-6866	51	4	bp	bp	PROPN
ajst-6866	51	5	neural	neural	ADJ
ajst-6866	51	6	network	network	NOUN
ajst-6866	51	7	is	be	AUX
ajst-6866	51	8	effective	effective	ADJ
ajst-6866	51	9	in	in	ADP
ajst-6866	51	10	fitting	fitting	ADJ
ajst-6866	51	11	nonlinear	nonlinear	ADJ
ajst-6866	51	12	data	datum	NOUN
ajst-6866	51	13	,	,	PUNCT
ajst-6866	51	14	and	and	CCONJ
ajst-6866	51	15	only	only	ADV
ajst-6866	51	16	one	one	NUM
ajst-6866	51	17	hidden	hide	VERB
ajst-6866	51	18	layer	layer	NOUN
ajst-6866	51	19	can	can	AUX
ajst-6866	51	20	fit	fit	VERB
ajst-6866	51	21	many	many	ADJ
ajst-6866	51	22	nonlinear	nonlinear	ADJ
ajst-6866	51	23	problems	problem	NOUN
ajst-6866	51	24	in	in	ADP
ajst-6866	51	25	real	real	ADJ
ajst-6866	51	26	life	life	NOUN
ajst-6866	51	27	.	.	PUNCT
ajst-6866	52	1	it	it	PRON
ajst-6866	52	2	makes	make	VERB
ajst-6866	52	3	bp	bp	PROPN
ajst-6866	52	4	neural	neural	ADJ
ajst-6866	52	5	network	network	NOUN
ajst-6866	52	6	suitable	suitable	ADJ
ajst-6866	52	7	for	for	ADP
ajst-6866	52	8	solving	solve	VERB
ajst-6866	52	9	short	short	ADJ
ajst-6866	52	10	-	-	PUNCT
ajst-6866	52	11	term	term	NOUN
ajst-6866	52	12	passenger	passenger	NOUN
ajst-6866	52	13	flow	flow	NOUN
ajst-6866	52	14	forecasting	forecasting	NOUN
ajst-6866	52	15	problems	problem	NOUN
ajst-6866	52	16	[	[	X
ajst-6866	52	17	10	10	NUM
ajst-6866	52	18	]	]	PUNCT
ajst-6866	52	19	.	.	PUNCT
ajst-6866	53	1	however	however	ADV
ajst-6866	53	2	,	,	PUNCT
ajst-6866	53	3	the	the	DET
ajst-6866	53	4	algorithm	algorithm	NOUN
ajst-6866	53	5	also	also	ADV
ajst-6866	53	6	has	have	VERB
ajst-6866	53	7	some	some	DET
ajst-6866	53	8	shortcomings	shortcoming	NOUN
ajst-6866	53	9	:	:	PUNCT
ajst-6866	53	10	(	(	PUNCT
ajst-6866	53	11	1	1	X
ajst-6866	53	12	)	)	PUNCT
ajst-6866	53	13	the	the	DET
ajst-6866	53	14	core	core	NOUN
ajst-6866	53	15	of	of	ADP
ajst-6866	53	16	bp	bp	PROPN
ajst-6866	53	17	neural	neural	ADJ
ajst-6866	53	18	network	network	NOUN
ajst-6866	53	19	algorithm	algorithm	NOUN
ajst-6866	53	20	lies	lie	VERB
ajst-6866	53	21	in	in	ADP
ajst-6866	53	22	error	error	NOUN
ajst-6866	53	23	feedback	feedback	NOUN
ajst-6866	53	24	and	and	CCONJ
ajst-6866	53	25	gradient	gradient	NOUN
ajst-6866	53	26	decline	decline	NOUN
ajst-6866	53	27	,	,	PUNCT
ajst-6866	53	28	so	so	ADV
ajst-6866	53	29	the	the	DET
ajst-6866	53	30	convergence	convergence	NOUN
ajst-6866	53	31	speed	speed	NOUN
ajst-6866	53	32	is	be	AUX
ajst-6866	53	33	slow	slow	ADJ
ajst-6866	53	34	.	.	PUNCT
ajst-6866	54	1	(	(	PUNCT
ajst-6866	54	2	2	2	X
ajst-6866	54	3	)	)	PUNCT
ajst-6866	54	4	it	it	PRON
ajst-6866	54	5	is	be	AUX
ajst-6866	54	6	difficult	difficult	ADJ
ajst-6866	54	7	to	to	PART
ajst-6866	54	8	determine	determine	VERB
ajst-6866	54	9	the	the	DET
ajst-6866	54	10	number	number	NOUN
ajst-6866	54	11	of	of	ADP
ajst-6866	54	12	nodes	node	NOUN
ajst-6866	54	13	in	in	ADP
ajst-6866	54	14	bp	bp	PROPN
ajst-6866	54	15	neural	neural	ADJ
ajst-6866	54	16	network	network	NOUN
ajst-6866	54	17	.	.	PUNCT
ajst-6866	55	1	(	(	PUNCT
ajst-6866	55	2	3	3	X
ajst-6866	55	3	)	)	PUNCT
ajst-6866	55	4	the	the	DET
ajst-6866	55	5	weight	weight	NOUN
ajst-6866	55	6	of	of	ADP
ajst-6866	55	7	bp	bp	PROPN
ajst-6866	55	8	neural	neural	ADJ
ajst-6866	55	9	network	network	NOUN
ajst-6866	55	10	is	be	AUX
ajst-6866	55	11	adjusted	adjust	VERB
ajst-6866	55	12	along	along	ADP
ajst-6866	55	13	the	the	DET
ajst-6866	55	14	direction	direction	NOUN
ajst-6866	55	15	of	of	ADP
ajst-6866	55	16	local	local	ADJ
ajst-6866	55	17	improvement	improvement	NOUN
ajst-6866	55	18	,	,	PUNCT
ajst-6866	55	19	which	which	PRON
ajst-6866	55	20	will	will	AUX
ajst-6866	55	21	make	make	VERB
ajst-6866	55	22	the	the	DET
ajst-6866	55	23	algorithm	algorithm	NOUN
ajst-6866	55	24	fall	fall	VERB
ajst-6866	55	25	into	into	ADP
ajst-6866	55	26	a	a	DET
ajst-6866	55	27	local	local	ADJ
ajst-6866	55	28	minimum	minimum	NOUN
ajst-6866	56	1	[	[	X
ajst-6866	56	2	11	11	NUM
ajst-6866	56	3	]	]	PUNCT
ajst-6866	56	4	.	.	PUNCT
ajst-6866	57	1	therefore	therefore	ADV
ajst-6866	57	2	,	,	PUNCT
ajst-6866	57	3	when	when	SCONJ
ajst-6866	57	4	using	use	VERB
ajst-6866	57	5	bp	bp	PROPN
ajst-6866	57	6	neural	neural	ADJ
ajst-6866	57	7	network	network	NOUN
ajst-6866	57	8	,	,	PUNCT
ajst-6866	57	9	we	we	PRON
ajst-6866	57	10	should	should	AUX
ajst-6866	57	11	combine	combine	VERB
ajst-6866	57	12	other	other	ADJ
ajst-6866	57	13	algorithms	algorithm	NOUN
ajst-6866	57	14	to	to	PART
ajst-6866	57	15	optimize	optimize	VERB
ajst-6866	57	16	it	it	PRON
ajst-6866	57	17	,	,	PUNCT
ajst-6866	57	18	considering	consider	VERB
ajst-6866	57	19	that	that	SCONJ
ajst-6866	57	20	bp	bp	PROPN
ajst-6866	57	21	neural	neural	ADJ
ajst-6866	57	22	network	network	NOUN
ajst-6866	57	23	randomizes	randomize	VERB
ajst-6866	57	24	the	the	DET
ajst-6866	57	25	initial	initial	ADJ
ajst-6866	57	26	weight	weight	NOUN
ajst-6866	57	27	and	and	CCONJ
ajst-6866	57	28	is	be	AUX
ajst-6866	57	29	very	very	ADV
ajst-6866	57	30	sensitive	sensitive	ADJ
ajst-6866	57	31	to	to	ADP
ajst-6866	57	32	the	the	DET
ajst-6866	57	33	initial	initial	ADJ
ajst-6866	57	34	weight	weight	NOUN
ajst-6866	57	35	.	.	PUNCT
ajst-6866	58	1	therefore	therefore	ADV
ajst-6866	58	2	,	,	PUNCT
ajst-6866	58	3	genetic	genetic	ADJ
ajst-6866	58	4	algorithm	algorithm	NOUN
ajst-6866	58	5	can	can	AUX
ajst-6866	58	6	be	be	AUX
ajst-6866	58	7	used	use	VERB
ajst-6866	58	8	to	to	PART
ajst-6866	58	9	solve	solve	VERB
ajst-6866	58	10	the	the	DET
ajst-6866	58	11	optimal	optimal	ADJ
ajst-6866	58	12	initial	initial	ADJ
ajst-6866	58	13	weight	weight	NOUN
ajst-6866	58	14	.	.	PUNCT
ajst-6866	59	1	2.3	2.3	NUM
ajst-6866	59	2	.	.	PUNCT
ajst-6866	59	3	ga	ga	PROPN
ajst-6866	59	4	-	-	PUNCT
ajst-6866	59	5	bp	bp	PROPN
ajst-6866	59	6	neural	neural	ADJ
ajst-6866	59	7	network	network	NOUN
ajst-6866	59	8	combination	combination	NOUN
ajst-6866	59	9	model	model	NOUN
ajst-6866	59	10	genetic	genetic	ADJ
ajst-6866	59	11	algorithm	algorithm	NOUN
ajst-6866	59	12	is	be	AUX
ajst-6866	59	13	a	a	DET
ajst-6866	59	14	global	global	ADJ
ajst-6866	59	15	optimization	optimization	NOUN
ajst-6866	59	16	technique	technique	NOUN
ajst-6866	59	17	that	that	PRON
ajst-6866	59	18	mimics	mimic	VERB
ajst-6866	59	19	the	the	DET
ajst-6866	59	20	law	law	NOUN
ajst-6866	59	21	of	of	ADP
ajst-6866	59	22	natural	natural	ADJ
ajst-6866	59	23	selection	selection	NOUN
ajst-6866	59	24	in	in	ADP
ajst-6866	59	25	which	which	PRON
ajst-6866	59	26	the	the	DET
ajst-6866	59	27	fittest	fit	ADJ
ajst-6866	59	28	organisms	organism	NOUN
ajst-6866	59	29	survive	survive	VERB
ajst-6866	59	30	.	.	PUNCT
ajst-6866	60	1	it	it	PRON
ajst-6866	60	2	can	can	AUX
ajst-6866	60	3	solve	solve	VERB
ajst-6866	60	4	complex	complex	ADJ
ajst-6866	60	5	combinatorial	combinatorial	ADJ
ajst-6866	60	6	optimization	optimization	NOUN
ajst-6866	60	7	problems	problem	NOUN
ajst-6866	60	8	and	and	CCONJ
ajst-6866	60	9	provide	provide	VERB
ajst-6866	60	10	faster	fast	ADJ
ajst-6866	60	11	optimization	optimization	NOUN
ajst-6866	60	12	results	result	NOUN
ajst-6866	60	13	than	than	ADP
ajst-6866	60	14	traditional	traditional	ADJ
ajst-6866	60	15	single	single	ADJ
ajst-6866	60	16	optimization	optimization	NOUN
ajst-6866	60	17	algorithms	algorithm	NOUN
ajst-6866	60	18	effectively	effectively	ADV
ajst-6866	60	19	.	.	PUNCT
ajst-6866	61	1	currently	currently	ADV
ajst-6866	61	2	,	,	PUNCT
ajst-6866	61	3	genetic	genetic	ADJ
ajst-6866	61	4	algorithms	algorithm	NOUN
ajst-6866	61	5	are	be	AUX
ajst-6866	61	6	extensively	extensively	ADV
ajst-6866	61	7	used	use	VERB
ajst-6866	61	8	in	in	ADP
ajst-6866	61	9	combinatorial	combinatorial	ADJ
ajst-6866	61	10	models	model	NOUN
ajst-6866	61	11	.	.	PUNCT
ajst-6866	62	1	in	in	ADP
ajst-6866	62	2	the	the	DET
ajst-6866	62	3	ga	ga	PROPN
ajst-6866	62	4	-	-	PUNCT
ajst-6866	62	5	bp	bp	PROPN
ajst-6866	62	6	combinatorial	combinatorial	PROPN
ajst-6866	62	7	model	model	NOUN
ajst-6866	62	8	,	,	PUNCT
ajst-6866	62	9	the	the	DET
ajst-6866	62	10	genetic	genetic	ADJ
ajst-6866	62	11	algorithm	algorithm	NOUN
ajst-6866	62	12	can	can	AUX
ajst-6866	62	13	efficiently	efficiently	ADV
ajst-6866	62	14	search	search	VERB
ajst-6866	62	15	for	for	ADP
ajst-6866	62	16	the	the	DET
ajst-6866	62	17	optimal	optimal	ADJ
ajst-6866	62	18	initial	initial	ADJ
ajst-6866	62	19	weight	weight	NOUN
ajst-6866	62	20	and	and	CCONJ
ajst-6866	62	21	threshold	threshold	NOUN
ajst-6866	62	22	in	in	ADP
ajst-6866	62	23	the	the	DET
ajst-6866	62	24	bp	bp	PROPN
ajst-6866	62	25	model	model	NOUN
ajst-6866	62	26	,	,	PUNCT
ajst-6866	62	27	as	as	ADV
ajst-6866	62	28	well	well	ADV
ajst-6866	62	29	as	as	ADP
ajst-6866	62	30	preventing	prevent	VERB
ajst-6866	62	31	the	the	DET
ajst-6866	62	32	bp	bp	PROPN
ajst-6866	62	33	network	network	NOUN
ajst-6866	62	34	from	from	ADP
ajst-6866	62	35	getting	getting	AUX
ajst-6866	62	36	trapped	trap	VERB
ajst-6866	62	37	in	in	ADP
ajst-6866	62	38	local	local	ADJ
ajst-6866	62	39	optimization	optimization	NOUN
ajst-6866	62	40	.	.	PUNCT
ajst-6866	63	1	the	the	DET
ajst-6866	63	2	main	main	ADJ
ajst-6866	63	3	training	training	NOUN
ajst-6866	63	4	steps	step	NOUN
ajst-6866	63	5	of	of	ADP
ajst-6866	63	6	the	the	DET
ajst-6866	63	7	ga	ga	PROPN
ajst-6866	63	8	-	-	PUNCT
ajst-6866	63	9	bp	bp	PROPN
ajst-6866	63	10	model	model	NOUN
ajst-6866	63	11	are	be	AUX
ajst-6866	63	12	as	as	SCONJ
ajst-6866	63	13	follows	follow	VERB
ajst-6866	63	14	[	[	X
ajst-6866	63	15	12	12	NUM
ajst-6866	63	16	]	]	X
ajst-6866	63	17	:	:	PUNCT
ajst-6866	63	18	(	(	PUNCT
ajst-6866	63	19	1	1	X
ajst-6866	63	20	)	)	PUNCT
ajst-6866	63	21	generate	generate	VERB
ajst-6866	63	22	the	the	DET
ajst-6866	63	23	initial	initial	ADJ
ajst-6866	63	24	population	population	NOUN
ajst-6866	63	25	randomly	randomly	ADV
ajst-6866	63	26	.	.	PUNCT
ajst-6866	64	1	(	(	PUNCT
ajst-6866	64	2	2	2	X
ajst-6866	64	3	)	)	PUNCT
ajst-6866	64	4	calculate	calculate	VERB
ajst-6866	64	5	the	the	DET
ajst-6866	64	6	fitness	fitness	NOUN
ajst-6866	64	7	value	value	NOUN
ajst-6866	64	8	.	.	PUNCT
ajst-6866	65	1	the	the	DET
ajst-6866	65	2	measurement	measurement	NOUN
ajst-6866	65	3	of	of	ADP
ajst-6866	65	4	fitness	fitness	NOUN
ajst-6866	65	5	value	value	NOUN
ajst-6866	65	6	f	f	PROPN
ajst-6866	65	7	is	be	AUX
ajst-6866	65	8	based	base	VERB
ajst-6866	65	9	on	on	ADP
ajst-6866	65	10	the	the	DET
ajst-6866	65	11	difference	difference	NOUN
ajst-6866	65	12	between	between	ADP
ajst-6866	65	13	the	the	DET
ajst-6866	65	14	predicted	predict	VERB
ajst-6866	65	15	value	value	NOUN
ajst-6866	65	16	and	and	CCONJ
ajst-6866	65	17	the	the	DET
ajst-6866	65	18	real	real	ADJ
ajst-6866	65	19	value	value	NOUN
ajst-6866	65	20	of	of	ADP
ajst-6866	65	21	passenger	passenger	NOUN
ajst-6866	65	22	flow	flow	NOUN
ajst-6866	65	23	,	,	PUNCT
ajst-6866	65	24	and	and	CCONJ
ajst-6866	65	25	its	its	PRON
ajst-6866	65	26	calculation	calculation	NOUN
ajst-6866	65	27	formula	formula	NOUN
ajst-6866	65	28	is	be	AUX
ajst-6866	65	29	as	as	SCONJ
ajst-6866	65	30	shown	show	VERB
ajst-6866	65	31	in	in	ADP
ajst-6866	65	32	the	the	DET
ajst-6866	65	33	formula	formula	NOUN
ajst-6866	65	34	:	:	PUNCT
ajst-6866	65	35	(	(	PUNCT
ajst-6866	65	36	2	2	X
ajst-6866	65	37	)	)	PUNCT
ajst-6866	65	38	where	where	SCONJ
ajst-6866	65	39	,	,	PUNCT
ajst-6866	65	40	ˆiy	ˆiy	NOUN
ajst-6866	65	41	is	be	AUX
ajst-6866	65	42	the	the	DET
ajst-6866	65	43	predicted	predict	VERB
ajst-6866	65	44	value	value	NOUN
ajst-6866	65	45	and	and	CCONJ
ajst-6866	65	46	iy	iy	PROPN
ajst-6866	65	47	is	be	AUX
ajst-6866	65	48	the	the	DET
ajst-6866	65	49	real	real	ADJ
ajst-6866	65	50	value	value	NOUN
ajst-6866	65	51	.	.	PUNCT
ajst-6866	66	1	(	(	PUNCT
ajst-6866	66	2	3	3	X
ajst-6866	66	3	)	)	PUNCT
ajst-6866	66	4	select	select	ADJ
ajst-6866	66	5	operation	operation	NOUN
ajst-6866	66	6	.	.	PUNCT
ajst-6866	67	1	the	the	DET
ajst-6866	67	2	selection	selection	NOUN
ajst-6866	67	3	operation	operation	NOUN
ajst-6866	67	4	utilizes	utilize	VERB
ajst-6866	67	5	the	the	DET
ajst-6866	67	6	roulette	roulette	NOUN
ajst-6866	67	7	method	method	NOUN
ajst-6866	67	8	.	.	PUNCT
ajst-6866	68	1	as	as	ADP
ajst-6866	68	2	formula	formula	NOUN
ajst-6866	68	3	(	(	PUNCT
ajst-6866	68	4	2	2	NUM
ajst-6866	68	5	)	)	PUNCT
ajst-6866	68	6	,	,	PUNCT
ajst-6866	68	7	the	the	DET
ajst-6866	68	8	fitness	fitness	NOUN
ajst-6866	68	9	value	value	NOUN
ajst-6866	68	10	is	be	AUX
ajst-6866	68	11	based	base	VERB
ajst-6866	68	12	on	on	ADP
ajst-6866	68	13	the	the	DET
ajst-6866	68	14	difference	difference	NOUN
ajst-6866	68	15	between	between	ADP
ajst-6866	68	16	the	the	DET
ajst-6866	68	17	predicted	predict	VERB
ajst-6866	68	18	and	and	CCONJ
ajst-6866	68	19	actual	actual	ADJ
ajst-6866	68	20	passenger	passenger	NOUN
ajst-6866	68	21	flow	flow	NOUN
ajst-6866	68	22	values	value	NOUN
ajst-6866	68	23	.	.	PUNCT
ajst-6866	69	1	it	it	PRON
ajst-6866	69	2	means	mean	VERB
ajst-6866	69	3	that	that	SCONJ
ajst-6866	69	4	the	the	PRON
ajst-6866	69	5	higher	high	ADJ
ajst-6866	69	6	the	the	DET
ajst-6866	69	7	fitness	fitness	NOUN
ajst-6866	69	8	value	value	NOUN
ajst-6866	69	9	,	,	PUNCT
ajst-6866	69	10	the	the	PRON
ajst-6866	69	11	greater	great	ADJ
ajst-6866	69	12	the	the	DET
ajst-6866	69	13	chance	chance	NOUN
ajst-6866	69	14	of	of	ADP
ajst-6866	69	15	being	be	AUX
ajst-6866	69	16	selected	select	VERB
ajst-6866	69	17	[	[	PUNCT
ajst-6866	69	18	13	13	NUM
ajst-6866	69	19	]	]	PUNCT
ajst-6866	69	20	.	.	PUNCT
ajst-6866	70	1	the	the	DET
ajst-6866	70	2	selection	selection	NOUN
ajst-6866	70	3	probability	probability	NOUN
ajst-6866	70	4	can	can	AUX
ajst-6866	70	5	be	be	AUX
ajst-6866	70	6	calculated	calculate	VERB
ajst-6866	70	7	using	use	VERB
ajst-6866	70	8	the	the	DET
ajst-6866	70	9	following	follow	VERB
ajst-6866	70	10	formulas	formula	NOUN
ajst-6866	70	11	(	(	PUNCT
ajst-6866	70	12	3)-(4	3)-(4	NUM
ajst-6866	70	13	):	):	PUNCT
ajst-6866	70	14	(	(	PUNCT
ajst-6866	70	15	3	3	X
ajst-6866	70	16	)	)	PUNCT
ajst-6866	70	17	1	1	NUM
ajst-6866	71	1	i	i	PRON
ajst-6866	71	2	i	i	PRON
ajst-6866	71	3	n	n	VERB
ajst-6866	72	1	i	i	PRON
ajst-6866	72	2	i	i	PRON
ajst-6866	73	1	f	f	X
ajst-6866	74	1	p	p	X
ajst-6866	74	2	f	f	PROPN
ajst-6866	75	1			NUM
ajst-6866	75	2			NUM
ajst-6866	75	3			X
ajst-6866	75	4	(	(	PUNCT
ajst-6866	75	5	4	4	NUM
ajst-6866	75	6	)	)	PUNCT
ajst-6866	75	7	(	(	PUNCT
ajst-6866	75	8	4	4	X
ajst-6866	75	9	)	)	PUNCT
ajst-6866	75	10	cross	cross	NOUN
ajst-6866	75	11	operation	operation	NOUN
ajst-6866	75	12	.	.	PUNCT
ajst-6866	76	1	the	the	DET
ajst-6866	76	2	crossover	crossover	NOUN
ajst-6866	76	3	operation	operation	NOUN
ajst-6866	76	4	takes	take	VERB
ajst-6866	76	5	place	place	NOUN
ajst-6866	76	6	on	on	ADP
ajst-6866	76	7			NOUN
ajst-6866	76	8			PROPN
ajst-6866	76	9	1	1	NUM
ajst-6866	76	10	ˆ	ˆ	NOUN
ajst-6866	77	1	k	k	NOUN
ajst-6866	78	1	i	i	PRON
ajst-6866	79	1	i	i	PRON
ajst-6866	80	1	i	i	PRON
ajst-6866	80	2	f	f	VERB
ajst-6866	81	1	y	y	PROPN
ajst-6866	81	2	y	y	PROPN
ajst-6866	82	1			NUM
ajst-6866	82	2			NUM
ajst-6866	83	1			PROPN
ajst-6866	83	2	1	1	NUM
ajst-6866	84	1	i	i	PRON
ajst-6866	84	2	i	i	PRON
ajst-6866	85	1	f	f	NOUN
ajst-6866	85	2	f	f	PROPN
ajst-6866	86	1			NUM
ajst-6866	86	2	202	202	NUM
ajst-6866	86	3	a	a	DET
ajst-6866	86	4	random	random	ADJ
ajst-6866	86	5	gene	gene	NOUN
ajst-6866	86	6	segment	segment	NOUN
ajst-6866	86	7	of	of	ADP
ajst-6866	86	8	two	two	NUM
ajst-6866	86	9	chromosomes	chromosome	NOUN
ajst-6866	86	10	,	,	PUNCT
ajst-6866	86	11	allowing	allow	VERB
ajst-6866	86	12	for	for	ADP
ajst-6866	86	13	the	the	DET
ajst-6866	86	14	exchange	exchange	NOUN
ajst-6866	86	15	of	of	ADP
ajst-6866	86	16	genes	gene	NOUN
ajst-6866	86	17	within	within	ADP
ajst-6866	86	18	the	the	DET
ajst-6866	86	19	population	population	NOUN
ajst-6866	86	20	and	and	CCONJ
ajst-6866	86	21	providing	provide	VERB
ajst-6866	86	22	new	new	ADJ
ajst-6866	86	23	opportunities	opportunity	NOUN
ajst-6866	86	24	to	to	PART
ajst-6866	86	25	discover	discover	VERB
ajst-6866	86	26	the	the	DET
ajst-6866	86	27	global	global	ADJ
ajst-6866	86	28	optimal	optimal	ADJ
ajst-6866	86	29	solution	solution	NOUN
ajst-6866	86	30	.	.	PUNCT
ajst-6866	87	1	for	for	ADP
ajst-6866	87	2	example	example	NOUN
ajst-6866	87	3	,	,	PUNCT
ajst-6866	87	4	the	the	DET
ajst-6866	87	5	chromosome	chromosome	NOUN
ajst-6866	87	6	and	and	CCONJ
ajst-6866	87	7	the	the	DET
ajst-6866	87	8	chromosome	chromosome	NOUN
ajst-6866	87	9	are	be	AUX
ajst-6866	87	10	crossed	cross	VERB
ajst-6866	87	11	at	at	ADP
ajst-6866	87	12	the	the	DET
ajst-6866	87	13	position	position	NOUN
ajst-6866	87	14	.	.	PUNCT
ajst-6866	88	1	the	the	DET
ajst-6866	88	2	formula	formula	NOUN
ajst-6866	88	3	for	for	ADP
ajst-6866	88	4	the	the	DET
ajst-6866	88	5	crossover	crossover	NOUN
ajst-6866	88	6	operation	operation	NOUN
ajst-6866	88	7	is	be	AUX
ajst-6866	88	8	given	give	VERB
ajst-6866	88	9	by	by	ADP
ajst-6866	88	10	formula(5	formula(5	NOUN
ajst-6866	88	11	):	):	PUNCT
ajst-6866	88	12			NOUN
ajst-6866	88	13			SYM
ajst-6866	88	14			NOUN
ajst-6866	88	15			PUNCT
ajst-6866	88	16			NOUN
ajst-6866	88	17			NOUN
ajst-6866	88	18	1	1	NUM
ajst-6866	88	19	0	0	NUM
ajst-6866	88	20	1	1	NUM
ajst-6866	88	21	1	1	NUM
ajst-6866	88	22	xl	xl	PROPN
ajst-6866	88	23	xl	xl	PROPN
ajst-6866	88	24	yl	yl	NOUN
ajst-6866	89	1	yl	yl	NOUN
ajst-6866	89	2	yl	yl	NOUN
ajst-6866	89	3	xl	xl	PROPN
ajst-6866	89	4	g	g	PROPN
ajst-6866	89	5	g	g	PROPN
ajst-6866	89	6	z	z	PROPN
ajst-6866	89	7	g	g	PROPN
ajst-6866	89	8	z	z	PROPN
ajst-6866	89	9	z	z	NOUN
ajst-6866	89	10	,	,	PUNCT
ajst-6866	89	11	g	g	PROPN
ajst-6866	89	12	g	g	PROPN
ajst-6866	89	13	z	z	PROPN
ajst-6866	89	14	g	g	PROPN
ajst-6866	89	15	z	z	NOUN
ajst-6866	89	16			ADP
ajst-6866	89	17			NUM
ajst-6866	89	18			PUNCT
ajst-6866	89	19			ADV
ajst-6866	89	20			PROPN
ajst-6866	89	21			PROPN
ajst-6866	89	22			PUNCT
ajst-6866	89	23			NOUN
ajst-6866	89	24	(	(	PUNCT
ajst-6866	89	25	5	5	NUM
ajst-6866	89	26	)	)	PUNCT
ajst-6866	90	1	where	where	SCONJ
ajst-6866	90	2	,	,	PUNCT
ajst-6866	90	3	z	z	PROPN
ajst-6866	90	4	is	be	AUX
ajst-6866	90	5	a	a	DET
ajst-6866	90	6	random	random	ADJ
ajst-6866	90	7	number	number	NOUN
ajst-6866	90	8	in	in	ADP
ajst-6866	90	9	the	the	DET
ajst-6866	90	10	interval	interval	NOUN
ajst-6866	90	11	[	[	X
ajst-6866	90	12	0,1	0,1	NOUN
ajst-6866	90	13	]	]	PUNCT
ajst-6866	90	14	.	.	PUNCT
ajst-6866	91	1	(	(	PUNCT
ajst-6866	91	2	5	5	X
ajst-6866	91	3	)	)	PUNCT
ajst-6866	91	4	mutation	mutation	NOUN
ajst-6866	91	5	operation	operation	NOUN
ajst-6866	91	6	.	.	PUNCT
ajst-6866	92	1	the	the	DET
ajst-6866	92	2	mutation	mutation	NOUN
ajst-6866	92	3	operation	operation	NOUN
ajst-6866	92	4	typically	typically	ADV
ajst-6866	92	5	affects	affect	VERB
ajst-6866	92	6	a	a	DET
ajst-6866	92	7	specific	specific	ADJ
ajst-6866	92	8	gene	gene	NOUN
ajst-6866	92	9	segment	segment	NOUN
ajst-6866	92	10	within	within	ADP
ajst-6866	92	11	a	a	DET
ajst-6866	92	12	single	single	ADJ
ajst-6866	92	13	chromosome	chromosome	NOUN
ajst-6866	92	14	,	,	PUNCT
ajst-6866	92	15	and	and	CCONJ
ajst-6866	92	16	aims	aim	VERB
ajst-6866	92	17	to	to	PART
ajst-6866	92	18	introduce	introduce	VERB
ajst-6866	92	19	more	more	ADJ
ajst-6866	92	20	variability	variability	NOUN
ajst-6866	92	21	into	into	ADP
ajst-6866	92	22	the	the	DET
ajst-6866	92	23	population	population	NOUN
ajst-6866	92	24	of	of	ADP
ajst-6866	92	25	genes	gene	NOUN
ajst-6866	92	26	,	,	PUNCT
ajst-6866	92	27	allowing	allow	VERB
ajst-6866	92	28	for	for	ADP
ajst-6866	92	29	escape	escape	NOUN
ajst-6866	92	30	from	from	ADP
ajst-6866	92	31	local	local	ADJ
ajst-6866	92	32	optima	optima	NOUN
ajst-6866	92	33	.	.	PUNCT
ajst-6866	93	1	(	(	PUNCT
ajst-6866	93	2	6	6	X
ajst-6866	93	3	)	)	PUNCT
ajst-6866	93	4	calculate	calculate	NOUN
ajst-6866	93	5	the	the	DET
ajst-6866	93	6	fitness	fitness	NOUN
ajst-6866	93	7	function	function	NOUN
ajst-6866	93	8	.	.	PUNCT
ajst-6866	94	1	if	if	SCONJ
ajst-6866	94	2	the	the	DET
ajst-6866	94	3	termination	termination	NOUN
ajst-6866	94	4	condition	condition	NOUN
ajst-6866	94	5	is	be	AUX
ajst-6866	94	6	met	meet	VERB
ajst-6866	94	7	,	,	PUNCT
ajst-6866	94	8	the	the	DET
ajst-6866	94	9	initial	initial	ADJ
ajst-6866	94	10	weight	weight	NOUN
ajst-6866	94	11	and	and	CCONJ
ajst-6866	94	12	threshold	threshold	NOUN
ajst-6866	94	13	are	be	AUX
ajst-6866	94	14	returned	return	VERB
ajst-6866	94	15	.	.	PUNCT
ajst-6866	95	1	otherwise	otherwise	ADV
ajst-6866	95	2	,	,	PUNCT
ajst-6866	95	3	the	the	DET
ajst-6866	95	4	selection	selection	NOUN
ajst-6866	95	5	operation	operation	NOUN
ajst-6866	95	6	is	be	AUX
ajst-6866	95	7	repeated	repeat	VERB
ajst-6866	95	8	from	from	ADP
ajst-6866	95	9	step	step	NOUN
ajst-6866	95	10	(	(	PUNCT
ajst-6866	95	11	3	3	NUM
ajst-6866	95	12	)	)	PUNCT
ajst-6866	95	13	.	.	PUNCT
ajst-6866	96	1	(	(	PUNCT
ajst-6866	96	2	7	7	X
ajst-6866	96	3	)	)	PUNCT
ajst-6866	96	4	once	once	SCONJ
ajst-6866	96	5	the	the	DET
ajst-6866	96	6	initial	initial	ADJ
ajst-6866	96	7	weight	weight	NOUN
ajst-6866	96	8	and	and	CCONJ
ajst-6866	96	9	threshold	threshold	NOUN
ajst-6866	96	10	have	have	AUX
ajst-6866	96	11	been	be	AUX
ajst-6866	96	12	determined	determine	VERB
ajst-6866	96	13	,	,	PUNCT
ajst-6866	96	14	the	the	DET
ajst-6866	96	15	process	process	NOUN
ajst-6866	96	16	continues	continue	VERB
ajst-6866	96	17	with	with	ADP
ajst-6866	96	18	the	the	DET
ajst-6866	96	19	bp	bp	PROPN
ajst-6866	96	20	neural	neural	ADJ
ajst-6866	96	21	network	network	NOUN
ajst-6866	96	22	,	,	PUNCT
ajst-6866	96	23	which	which	PRON
ajst-6866	96	24	is	be	AUX
ajst-6866	96	25	outlined	outline	VERB
ajst-6866	96	26	in	in	ADP
ajst-6866	96	27	detail	detail	NOUN
ajst-6866	96	28	in	in	ADP
ajst-6866	96	29	figure	figure	NOUN
ajst-6866	96	30	3	3	NUM
ajst-6866	96	31	.	.	PUNCT
ajst-6866	96	32	figure	figure	NOUN
ajst-6866	96	33	3	3	NUM
ajst-6866	96	34	.	.	PUNCT
ajst-6866	96	35	ga	ga	PROPN
ajst-6866	96	36	-	-	PUNCT
ajst-6866	96	37	bp	bp	PROPN
ajst-6866	96	38	neural	neural	ADJ
ajst-6866	96	39	network	network	NOUN
ajst-6866	96	40	flow	flow	NOUN
ajst-6866	96	41	chart	chart	NOUN
ajst-6866	96	42	the	the	DET
ajst-6866	96	43	above	above	ADJ
ajst-6866	96	44	outlines	outline	VERB
ajst-6866	96	45	the	the	DET
ajst-6866	96	46	complete	complete	ADJ
ajst-6866	96	47	workflow	workflow	NOUN
ajst-6866	96	48	of	of	ADP
ajst-6866	96	49	the	the	DET
ajst-6866	96	50	ga	ga	PROPN
ajst-6866	96	51	-	-	PUNCT
ajst-6866	96	52	bp	bp	PROPN
ajst-6866	96	53	neural	neural	ADJ
ajst-6866	96	54	network	network	NOUN
ajst-6866	96	55	.	.	PUNCT
ajst-6866	97	1	3	3	X
ajst-6866	97	2	.	.	X
ajst-6866	97	3	analysis	analysis	NOUN
ajst-6866	97	4	of	of	ADP
ajst-6866	97	5	the	the	DET
ajst-6866	97	6	characteristics	characteristic	NOUN
ajst-6866	97	7	of	of	ADP
ajst-6866	97	8	passenger	passenger	NOUN
ajst-6866	97	9	flow	flow	NOUN
ajst-6866	97	10	at	at	ADP
ajst-6866	97	11	the	the	DET
ajst-6866	97	12	site	site	NOUN
ajst-6866	97	13	3.1	3.1	NUM
ajst-6866	97	14	.	.	PUNCT
ajst-6866	98	1	introduction	introduction	NOUN
ajst-6866	98	2	of	of	ADP
ajst-6866	98	3	suzhou	suzhou	PROPN
ajst-6866	98	4	rail	rail	NOUN
ajst-6866	98	5	transit	transit	NOUN
ajst-6866	98	6	suzhou	suzhou	PROPN
ajst-6866	98	7	rail	rail	NOUN
ajst-6866	98	8	transit	transit	NOUN
ajst-6866	98	9	,	,	PUNCT
ajst-6866	98	10	which	which	PRON
ajst-6866	98	11	began	begin	VERB
ajst-6866	98	12	operation	operation	NOUN
ajst-6866	98	13	on	on	ADP
ajst-6866	98	14	april	april	PROPN
ajst-6866	98	15	28	28	NUM
ajst-6866	98	16	,	,	PUNCT
ajst-6866	98	17	2012	2012	NUM
ajst-6866	98	18	,	,	PUNCT
ajst-6866	98	19	is	be	AUX
ajst-6866	98	20	the	the	DET
ajst-6866	98	21	15th	15th	ADJ
ajst-6866	98	22	city	city	NOUN
ajst-6866	98	23	in	in	ADP
ajst-6866	98	24	mainland	mainland	NOUN
ajst-6866	98	25	china	china	PROPN
ajst-6866	98	26	to	to	PART
ajst-6866	98	27	open	open	VERB
ajst-6866	98	28	urban	urban	ADJ
ajst-6866	98	29	rail	rail	NOUN
ajst-6866	98	30	transit	transit	NOUN
ajst-6866	98	31	lines	line	NOUN
ajst-6866	98	32	.	.	PUNCT
ajst-6866	99	1	it	it	PRON
ajst-6866	99	2	is	be	AUX
ajst-6866	99	3	also	also	ADV
ajst-6866	99	4	the	the	DET
ajst-6866	99	5	first	first	ADJ
ajst-6866	99	6	prefecture	prefecture	NOUN
ajst-6866	99	7	-	-	PUNCT
ajst-6866	99	8	level	level	NOUN
ajst-6866	99	9	city	city	NOUN
ajst-6866	99	10	in	in	ADP
ajst-6866	99	11	china	china	PROPN
ajst-6866	99	12	to	to	PART
ajst-6866	99	13	build	build	VERB
ajst-6866	99	14	and	and	CCONJ
ajst-6866	99	15	operate	operate	VERB
ajst-6866	99	16	subways	subway	NOUN
ajst-6866	99	17	.	.	PUNCT
ajst-6866	100	1	as	as	ADP
ajst-6866	100	2	of	of	ADP
ajst-6866	100	3	june	june	PROPN
ajst-6866	100	4	2021	2021	NUM
ajst-6866	100	5	,	,	PUNCT
ajst-6866	100	6	five	five	NUM
ajst-6866	100	7	urban	urban	ADJ
ajst-6866	100	8	rail	rail	NOUN
ajst-6866	100	9	transit	transit	NOUN
ajst-6866	100	10	lines	line	NOUN
ajst-6866	100	11	in	in	ADP
ajst-6866	100	12	operation	operation	NOUN
ajst-6866	100	13	in	in	ADP
ajst-6866	100	14	suzhou	suzhou	PROPN
ajst-6866	100	15	,	,	PUNCT
ajst-6866	100	16	with	with	ADP
ajst-6866	100	17	a	a	DET
ajst-6866	100	18	total	total	ADJ
ajst-6866	100	19	length	length	NOUN
ajst-6866	100	20	of	of	ADP
ajst-6866	100	21	210	210	NUM
ajst-6866	100	22	km	km	NOUN
ajst-6866	100	23	.	.	PUNCT
ajst-6866	101	1	this	this	DET
ajst-6866	101	2	study	study	NOUN
ajst-6866	101	3	focuses	focus	VERB
ajst-6866	101	4	on	on	ADP
ajst-6866	101	5	passenger	passenger	NOUN
ajst-6866	101	6	flow	flow	NOUN
ajst-6866	101	7	data	datum	NOUN
ajst-6866	101	8	for	for	ADP
ajst-6866	101	9	suzhou	suzhou	PROPN
ajst-6866	101	10	metro	metro	PROPN
ajst-6866	101	11	line	line	PROPN
ajst-6866	101	12	1	1	NUM
ajst-6866	101	13	between	between	ADP
ajst-6866	101	14	june	june	PROPN
ajst-6866	101	15	7	7	NUM
ajst-6866	101	16	,	,	PUNCT
ajst-6866	101	17	2020	2020	NUM
ajst-6866	101	18	and	and	CCONJ
ajst-6866	101	19	september	september	PROPN
ajst-6866	101	20	14	14	NUM
ajst-6866	101	21	,	,	PUNCT
ajst-6866	101	22	2020	2020	NUM
ajst-6866	101	23	primarily	primarily	ADV
ajst-6866	101	24	[	[	X
ajst-6866	101	25	14	14	NUM
ajst-6866	101	26	]	]	PUNCT
ajst-6866	101	27	.	.	PUNCT
ajst-6866	102	1	the	the	DET
ajst-6866	102	2	route	route	NOUN
ajst-6866	102	3	of	of	ADP
ajst-6866	102	4	suzhou	suzhou	PROPN
ajst-6866	102	5	metro	metro	PROPN
ajst-6866	102	6	line	line	PROPN
ajst-6866	102	7	1	1	NUM
ajst-6866	102	8	is	be	AUX
ajst-6866	102	9	displayed	display	VERB
ajst-6866	102	10	in	in	ADP
ajst-6866	102	11	figure	figure	NOUN
ajst-6866	102	12	4	4	NUM
ajst-6866	102	13	.	.	PUNCT
ajst-6866	102	14	figure	figure	VERB
ajst-6866	102	15	4	4	NUM
ajst-6866	102	16	.	.	PUNCT
ajst-6866	103	1	metro	metro	PROPN
ajst-6866	103	2	line	line	NOUN
ajst-6866	103	3	1	1	NUM
ajst-6866	103	4	in	in	ADP
ajst-6866	103	5	suzhou	suzhou	PROPN
ajst-6866	103	6	203	203	NUM
ajst-6866	103	7	3.2	3.2	NUM
ajst-6866	103	8	.	.	PUNCT
ajst-6866	104	1	time	time	NOUN
ajst-6866	104	2	distribution	distribution	NOUN
ajst-6866	104	3	law	law	NOUN
ajst-6866	104	4	of	of	ADP
ajst-6866	104	5	passenger	passenger	NOUN
ajst-6866	104	6	flow	flow	VERB
ajst-6866	104	7	the	the	DET
ajst-6866	104	8	daily	daily	ADJ
ajst-6866	104	9	passenger	passenger	NOUN
ajst-6866	104	10	flow	flow	NOUN
ajst-6866	104	11	of	of	ADP
ajst-6866	104	12	rail	rail	NOUN
ajst-6866	104	13	transit	transit	NOUN
ajst-6866	104	14	typically	typically	ADV
ajst-6866	104	15	reflects	reflect	VERB
ajst-6866	104	16	the	the	DET
ajst-6866	104	17	daily	daily	ADJ
ajst-6866	104	18	routine	routine	NOUN
ajst-6866	104	19	of	of	ADP
ajst-6866	104	20	urban	urban	ADJ
ajst-6866	104	21	residents	resident	NOUN
ajst-6866	104	22	,	,	PUNCT
ajst-6866	104	23	resulting	result	VERB
ajst-6866	104	24	in	in	ADP
ajst-6866	104	25	bimodal	bimodal	NOUN
ajst-6866	104	26	characteristics	characteristic	NOUN
ajst-6866	104	27	,	,	PUNCT
ajst-6866	104	28	as	as	SCONJ
ajst-6866	104	29	displayed	display	VERB
ajst-6866	104	30	in	in	ADP
ajst-6866	104	31	figure	figure	NOUN
ajst-6866	104	32	5	5	NUM
ajst-6866	104	33	.	.	PUNCT
ajst-6866	105	1	the	the	DET
ajst-6866	105	2	passenger	passenger	NOUN
ajst-6866	105	3	flow	flow	NOUN
ajst-6866	105	4	of	of	ADP
ajst-6866	105	5	rail	rail	NOUN
ajst-6866	105	6	transit	transit	NOUN
ajst-6866	105	7	during	during	ADP
ajst-6866	105	8	the	the	DET
ajst-6866	105	9	week	week	NOUN
ajst-6866	105	10	also	also	ADV
ajst-6866	105	11	follows	follow	VERB
ajst-6866	105	12	certain	certain	ADJ
ajst-6866	105	13	patterns	pattern	NOUN
ajst-6866	105	14	.	.	PUNCT
ajst-6866	106	1	on	on	ADP
ajst-6866	106	2	lines	line	NOUN
ajst-6866	106	3	primarily	primarily	ADV
ajst-6866	106	4	used	use	VERB
ajst-6866	106	5	for	for	ADP
ajst-6866	106	6	commuting	commute	VERB
ajst-6866	106	7	and	and	CCONJ
ajst-6866	106	8	studying	study	VERB
ajst-6866	106	9	,	,	PUNCT
ajst-6866	106	10	nonworking	nonworking	ADJ
ajst-6866	106	11	day	day	NOUN
ajst-6866	106	12	passenger	passenger	NOUN
ajst-6866	106	13	flow	flow	NOUN
ajst-6866	106	14	is	be	AUX
ajst-6866	106	15	lower	low	ADJ
ajst-6866	106	16	than	than	ADP
ajst-6866	106	17	that	that	PRON
ajst-6866	106	18	of	of	ADP
ajst-6866	106	19	working	work	VERB
ajst-6866	106	20	days	day	NOUN
ajst-6866	106	21	,	,	PUNCT
ajst-6866	106	22	while	while	SCONJ
ajst-6866	106	23	on	on	ADP
ajst-6866	106	24	lines	line	NOUN
ajst-6866	106	25	serving	serve	VERB
ajst-6866	106	26	shopping	shopping	NOUN
ajst-6866	106	27	malls	mall	NOUN
ajst-6866	106	28	and	and	CCONJ
ajst-6866	106	29	tourist	tourist	NOUN
ajst-6866	106	30	attractions	attraction	NOUN
ajst-6866	106	31	,	,	PUNCT
ajst-6866	106	32	non	non	ADJ
ajst-6866	106	33	-	-	ADJ
ajst-6866	106	34	working	working	ADJ
ajst-6866	106	35	day	day	NOUN
ajst-6866	106	36	passenger	passenger	NOUN
ajst-6866	106	37	flow	flow	NOUN
ajst-6866	106	38	exceeds	exceed	VERB
ajst-6866	106	39	that	that	PRON
ajst-6866	106	40	of	of	ADP
ajst-6866	106	41	working	work	VERB
ajst-6866	106	42	days	day	NOUN
ajst-6866	106	43	,	,	PUNCT
ajst-6866	106	44	as	as	SCONJ
ajst-6866	106	45	illustrated	illustrate	VERB
ajst-6866	106	46	in	in	ADP
ajst-6866	106	47	figure	figure	NOUN
ajst-6866	106	48	6	6	NUM
ajst-6866	106	49	.	.	PUNCT
ajst-6866	106	50	figure	figure	NOUN
ajst-6866	106	51	5	5	NUM
ajst-6866	106	52	.	.	PUNCT
ajst-6866	106	53	variation	variation	NOUN
ajst-6866	106	54	law	law	NOUN
ajst-6866	106	55	of	of	ADP
ajst-6866	106	56	daily	daily	ADJ
ajst-6866	106	57	passenger	passenger	NOUN
ajst-6866	106	58	flow	flow	NOUN
ajst-6866	106	59	figure	figure	NOUN
ajst-6866	106	60	6	6	NUM
ajst-6866	106	61	.	.	PUNCT
ajst-6866	106	62	variation	variation	NOUN
ajst-6866	106	63	law	law	NOUN
ajst-6866	106	64	of	of	ADP
ajst-6866	106	65	weekly	weekly	ADJ
ajst-6866	106	66	passenger	passenger	NOUN
ajst-6866	106	67	flow	flow	NOUN
ajst-6866	106	68	furthermore	furthermore	ADV
ajst-6866	106	69	,	,	PUNCT
ajst-6866	106	70	there	there	PRON
ajst-6866	106	71	is	be	VERB
ajst-6866	106	72	a	a	DET
ajst-6866	106	73	seasonal	seasonal	ADJ
ajst-6866	106	74	variation	variation	NOUN
ajst-6866	106	75	pattern	pattern	NOUN
ajst-6866	106	76	in	in	ADP
ajst-6866	106	77	passenger	passenger	NOUN
ajst-6866	106	78	flow	flow	NOUN
ajst-6866	106	79	,	,	PUNCT
ajst-6866	106	80	weather	weather	NOUN
ajst-6866	106	81	and	and	CCONJ
ajst-6866	106	82	holidays	holiday	NOUN
ajst-6866	106	83	are	be	AUX
ajst-6866	106	84	significant	significant	ADJ
ajst-6866	106	85	influencing	influence	VERB
ajst-6866	106	86	factors	factor	NOUN
ajst-6866	106	87	.	.	PUNCT
ajst-6866	107	1	therefore	therefore	ADV
ajst-6866	107	2	,	,	PUNCT
ajst-6866	107	3	when	when	SCONJ
ajst-6866	107	4	utilizing	utilize	VERB
ajst-6866	107	5	the	the	DET
ajst-6866	107	6	bp	bp	PROPN
ajst-6866	107	7	neural	neural	ADJ
ajst-6866	107	8	network	network	NOUN
ajst-6866	107	9	to	to	PART
ajst-6866	107	10	forecast	forecast	VERB
ajst-6866	107	11	passenger	passenger	NOUN
ajst-6866	107	12	flow	flow	NOUN
ajst-6866	107	13	,	,	PUNCT
ajst-6866	107	14	the	the	DET
ajst-6866	107	15	impact	impact	NOUN
ajst-6866	107	16	of	of	ADP
ajst-6866	107	17	weather	weather	NOUN
ajst-6866	107	18	and	and	CCONJ
ajst-6866	107	19	holidays	holiday	NOUN
ajst-6866	107	20	is	be	AUX
ajst-6866	107	21	considered	consider	VERB
ajst-6866	107	22	.	.	PUNCT
ajst-6866	108	1	the	the	DET
ajst-6866	108	2	classification	classification	NOUN
ajst-6866	108	3	of	of	ADP
ajst-6866	108	4	air	air	NOUN
ajst-6866	108	5	temperature	temperature	NOUN
ajst-6866	108	6	is	be	AUX
ajst-6866	108	7	mainly	mainly	ADV
ajst-6866	108	8	based	base	VERB
ajst-6866	108	9	on	on	ADP
ajst-6866	108	10	comparison	comparison	NOUN
ajst-6866	108	11	with	with	ADP
ajst-6866	108	12	the	the	DET
ajst-6866	108	13	temperature	temperature	NOUN
ajst-6866	108	14	difference	difference	NOUN
ajst-6866	108	15	from	from	ADP
ajst-6866	108	16	the	the	DET
ajst-6866	108	17	previous	previous	ADJ
ajst-6866	108	18	day	day	NOUN
ajst-6866	108	19	,	,	PUNCT
ajst-6866	108	20	and	and	CCONJ
ajst-6866	108	21	is	be	AUX
ajst-6866	108	22	quantified	quantify	VERB
ajst-6866	108	23	on	on	ADP
ajst-6866	108	24	a	a	DET
ajst-6866	108	25	scale	scale	NOUN
ajst-6866	108	26	of	of	ADP
ajst-6866	108	27	0	0	NUM
ajst-6866	108	28	to	to	ADP
ajst-6866	108	29	3	3	NUM
ajst-6866	108	30	according	accord	VERB
ajst-6866	108	31	to	to	ADP
ajst-6866	108	32	the	the	DET
ajst-6866	108	33	magnitude	magnitude	NOUN
ajst-6866	108	34	of	of	ADP
ajst-6866	108	35	the	the	DET
ajst-6866	108	36	temperature	temperature	NOUN
ajst-6866	108	37	difference	difference	NOUN
ajst-6866	108	38	,	,	PUNCT
ajst-6866	108	39	from	from	ADP
ajst-6866	108	40	large	large	ADJ
ajst-6866	108	41	to	to	AUX
ajst-6866	108	42	small	small	ADJ
ajst-6866	108	43	.	.	PUNCT
ajst-6866	109	1	the	the	DET
ajst-6866	109	2	precise	precise	ADJ
ajst-6866	109	3	quantitative	quantitative	ADJ
ajst-6866	109	4	criteria	criterion	NOUN
ajst-6866	109	5	are	be	AUX
ajst-6866	109	6	demonstrated	demonstrate	VERB
ajst-6866	109	7	in	in	ADP
ajst-6866	109	8	table	table	NOUN
ajst-6866	109	9	1	1	NUM
ajst-6866	109	10	.	.	PUNCT
ajst-6866	109	11	table	table	NOUN
ajst-6866	109	12	1	1	NUM
ajst-6866	109	13	.	.	PUNCT
ajst-6866	109	14	quantitative	quantitative	ADJ
ajst-6866	109	15	criteria	criterion	NOUN
ajst-6866	109	16	for	for	ADP
ajst-6866	109	17	some	some	DET
ajst-6866	109	18	factors	factor	NOUN
ajst-6866	109	19	quantitative	quantitative	ADJ
ajst-6866	109	20	indicators	indicator	NOUN
ajst-6866	109	21	quantitative	quantitative	ADJ
ajst-6866	109	22	processing	processing	NOUN
ajst-6866	109	23	standard	standard	ADJ
ajst-6866	109	24	weather	weather	NOUN
ajst-6866	109	25	condition	condition	NOUN
ajst-6866	109	26	bad	bad	ADJ
ajst-6866	109	27	:0	:0	PUNCT
ajst-6866	110	1	rain	rain	NOUN
ajst-6866	110	2	and	and	CCONJ
ajst-6866	110	3	snow:1	snow:1	VERB
ajst-6866	110	4	overcast	overcast	ADJ
ajst-6866	110	5	sky:2	sky:2	NOUN
ajst-6866	110	6	clear	clear	ADJ
ajst-6866	110	7	day:3	day:3	ADJ
ajst-6866	110	8	air	air	NOUN
ajst-6866	110	9	temperature	temperature	NOUN
ajst-6866	110	10	extreme	extreme	ADJ
ajst-6866	110	11	temperature	temperature	NOUN
ajst-6866	110	12	difference:0	difference:0	NOUN
ajst-6866	110	13	large	large	ADJ
ajst-6866	110	14	temperature	temperature	NOUN
ajst-6866	110	15	difference:1	difference:1	PROPN
ajst-6866	110	16	small	small	ADJ
ajst-6866	110	17	temperature	temperature	NOUN
ajst-6866	110	18	difference:2	difference:2	NUM
ajst-6866	110	19	minimal	minimal	ADJ
ajst-6866	110	20	temperature	temperature	NOUN
ajst-6866	110	21	difference:3	difference:3	NOUN
ajst-6866	110	22	festival	festival	NOUN
ajst-6866	110	23	and	and	CCONJ
ajst-6866	110	24	holiday	holiday	NOUN
ajst-6866	110	25	not	not	PART
ajst-6866	110	26	a	a	DET
ajst-6866	110	27	holiday	holiday	NOUN
ajst-6866	110	28	:	:	PUNCT
ajst-6866	110	29	0	0	NUM
ajst-6866	110	30	is	be	AUX
ajst-6866	110	31	it	it	PRON
ajst-6866	110	32	a	a	DET
ajst-6866	110	33	holiday	holiday	NOUN
ajst-6866	110	34	:	:	PUNCT
ajst-6866	110	35	1	1	NUM
ajst-6866	110	36	3.3	3.3	NUM
ajst-6866	110	37	.	.	PUNCT
ajst-6866	111	1	spatial	spatial	ADJ
ajst-6866	111	2	distribution	distribution	NOUN
ajst-6866	111	3	characteristics	characteristic	NOUN
ajst-6866	111	4	in	in	ADP
ajst-6866	111	5	general	general	ADJ
ajst-6866	111	6	,	,	PUNCT
ajst-6866	111	7	passenger	passenger	NOUN
ajst-6866	111	8	flow	flow	NOUN
ajst-6866	111	9	varies	vary	VERB
ajst-6866	111	10	across	across	ADP
ajst-6866	111	11	rail	rail	NOUN
ajst-6866	111	12	lines	line	NOUN
ajst-6866	111	13	with	with	ADP
ajst-6866	111	14	different	different	ADJ
ajst-6866	111	15	land	land	NOUN
ajst-6866	111	16	use	use	NOUN
ajst-6866	111	17	significantly	significantly	ADV
ajst-6866	111	18	,	,	PUNCT
ajst-6866	111	19	due	due	ADP
ajst-6866	111	20	to	to	ADP
ajst-6866	111	21	the	the	DET
ajst-6866	111	22	facilities	facility	NOUN
ajst-6866	111	23	in	in	ADP
ajst-6866	111	24	the	the	DET
ajst-6866	111	25	station	station	NOUN
ajst-6866	111	26	's	's	PART
ajst-6866	111	27	surrounding	surround	VERB
ajst-6866	111	28	area	area	NOUN
ajst-6866	111	29	.	.	PUNCT
ajst-6866	112	1	additionally	additionally	ADV
ajst-6866	112	2	,	,	PUNCT
ajst-6866	112	3	there	there	PRON
ajst-6866	112	4	are	be	VERB
ajst-6866	112	5	variations	variation	NOUN
ajst-6866	112	6	in	in	ADP
ajst-6866	112	7	passenger	passenger	NOUN
ajst-6866	112	8	flow	flow	NOUN
ajst-6866	112	9	between	between	ADP
ajst-6866	112	10	stations	station	NOUN
ajst-6866	112	11	on	on	ADP
ajst-6866	112	12	the	the	DET
ajst-6866	112	13	same	same	ADJ
ajst-6866	112	14	line	line	NOUN
ajst-6866	112	15	,	,	PUNCT
ajst-6866	112	16	particularly	particularly	ADV
ajst-6866	112	17	during	during	ADP
ajst-6866	112	18	morning	morning	NOUN
ajst-6866	112	19	and	and	CCONJ
ajst-6866	112	20	evening	evening	NOUN
ajst-6866	112	21	peak	peak	NOUN
ajst-6866	112	22	hours	hour	NOUN
ajst-6866	112	23	.	.	PUNCT
ajst-6866	113	1	furthermore	furthermore	ADV
ajst-6866	113	2	,	,	PUNCT
ajst-6866	113	3	passenger	passenger	NOUN
ajst-6866	113	4	flow	flow	NOUN
ajst-6866	113	5	differs	differ	VERB
ajst-6866	113	6	across	across	ADP
ajst-6866	113	7	various	various	ADJ
ajst-6866	113	8	sections	section	NOUN
ajst-6866	113	9	of	of	ADP
ajst-6866	113	10	the	the	DET
ajst-6866	113	11	line	line	NOUN
ajst-6866	113	12	due	due	ADP
ajst-6866	113	13	to	to	ADP
ajst-6866	113	14	differences	difference	NOUN
ajst-6866	113	15	in	in	ADP
ajst-6866	113	16	the	the	DET
ajst-6866	113	17	number	number	NOUN
ajst-6866	113	18	of	of	ADP
ajst-6866	113	19	passenger	passenger	NOUN
ajst-6866	113	20	distribution	distribution	NOUN
ajst-6866	113	21	points	point	NOUN
ajst-6866	113	22	and	and	CCONJ
ajst-6866	113	23	line	line	NOUN
ajst-6866	113	24	density	density	NOUN
ajst-6866	113	25	coverage	coverage	NOUN
ajst-6866	113	26	in	in	ADP
ajst-6866	113	27	the	the	DET
ajst-6866	113	28	station	station	NOUN
ajst-6866	113	29	's	's	PART
ajst-6866	113	30	radiation	radiation	NOUN
ajst-6866	113	31	area	area	NOUN
ajst-6866	113	32	.	.	PUNCT
ajst-6866	114	1	if	if	SCONJ
ajst-6866	114	2	there	there	PRON
ajst-6866	114	3	is	be	VERB
ajst-6866	114	4	a	a	DET
ajst-6866	114	5	substantial	substantial	ADJ
ajst-6866	114	6	difference	difference	NOUN
ajst-6866	114	7	in	in	ADP
ajst-6866	114	8	passenger	passenger	NOUN
ajst-6866	114	9	flow	flow	NOUN
ajst-6866	114	10	between	between	ADP
ajst-6866	114	11	sections	section	NOUN
ajst-6866	114	12	,	,	PUNCT
ajst-6866	114	13	it	it	PRON
ajst-6866	114	14	may	may	AUX
ajst-6866	114	15	be	be	AUX
ajst-6866	114	16	necessary	necessary	ADJ
ajst-6866	114	17	to	to	PART
ajst-6866	114	18	consider	consider	VERB
ajst-6866	114	19	large	large	ADJ
ajst-6866	114	20	204	204	NUM
ajst-6866	114	21	and	and	CCONJ
ajst-6866	114	22	small	small	ADJ
ajst-6866	114	23	intersections	intersection	NOUN
ajst-6866	114	24	.	.	PUNCT
ajst-6866	115	1	4	4	X
ajst-6866	115	2	.	.	X
ajst-6866	115	3	passenger	passenger	NOUN
ajst-6866	115	4	flow	flow	NOUN
ajst-6866	115	5	forecast	forecast	VERB
ajst-6866	115	6	4.1	4.1	NUM
ajst-6866	115	7	.	.	PUNCT
ajst-6866	116	1	determination	determination	NOUN
ajst-6866	116	2	of	of	ADP
ajst-6866	116	3	parameters	parameter	NOUN
ajst-6866	116	4	the	the	DET
ajst-6866	116	5	bp	bp	PROPN
ajst-6866	116	6	neural	neural	PROPN
ajst-6866	116	7	network	network	NOUN
ajst-6866	116	8	has	have	VERB
ajst-6866	116	9	10	10	NUM
ajst-6866	116	10	input	input	NOUN
ajst-6866	116	11	neurons	neuron	NOUN
ajst-6866	116	12	,	,	PUNCT
ajst-6866	116	13	which	which	PRON
ajst-6866	116	14	include	include	VERB
ajst-6866	116	15	the	the	DET
ajst-6866	116	16	passenger	passenger	NOUN
ajst-6866	116	17	flow	flow	NOUN
ajst-6866	116	18	of	of	ADP
ajst-6866	116	19	the	the	DET
ajst-6866	116	20	previous	previous	ADJ
ajst-6866	116	21	7	7	NUM
ajst-6866	116	22	days	day	NOUN
ajst-6866	116	23	,	,	PUNCT
ajst-6866	116	24	as	as	ADV
ajst-6866	116	25	well	well	ADV
ajst-6866	116	26	as	as	ADP
ajst-6866	116	27	weather	weather	NOUN
ajst-6866	116	28	conditions	condition	NOUN
ajst-6866	116	29	,	,	PUNCT
ajst-6866	116	30	temperature	temperature	NOUN
ajst-6866	116	31	,	,	PUNCT
ajst-6866	116	32	and	and	CCONJ
ajst-6866	116	33	holiday	holiday	NOUN
ajst-6866	116	34	information	information	NOUN
ajst-6866	116	35	.	.	PUNCT
ajst-6866	117	1	the	the	DET
ajst-6866	117	2	output	output	NOUN
ajst-6866	117	3	layer	layer	NOUN
ajst-6866	117	4	consists	consist	VERB
ajst-6866	117	5	of	of	ADP
ajst-6866	117	6	1	1	NUM
ajst-6866	117	7	neuron	neuron	NOUN
ajst-6866	117	8	,	,	PUNCT
ajst-6866	117	9	which	which	PRON
ajst-6866	117	10	predicts	predict	VERB
ajst-6866	117	11	the	the	DET
ajst-6866	117	12	passenger	passenger	NOUN
ajst-6866	117	13	flow	flow	NOUN
ajst-6866	117	14	.	.	PUNCT
ajst-6866	118	1	there	there	PRON
ajst-6866	118	2	is	be	VERB
ajst-6866	118	3	only	only	ADV
ajst-6866	118	4	1	1	NUM
ajst-6866	118	5	hidden	hide	VERB
ajst-6866	118	6	layer	layer	NOUN
ajst-6866	118	7	,	,	PUNCT
ajst-6866	118	8	and	and	CCONJ
ajst-6866	118	9	the	the	DET
ajst-6866	118	10	number	number	NOUN
ajst-6866	118	11	of	of	ADP
ajst-6866	118	12	neurons	neuron	NOUN
ajst-6866	118	13	in	in	ADP
ajst-6866	118	14	this	this	DET
ajst-6866	118	15	layer	layer	NOUN
ajst-6866	118	16	can	can	AUX
ajst-6866	118	17	be	be	AUX
ajst-6866	118	18	determined	determine	VERB
ajst-6866	118	19	by	by	ADP
ajst-6866	118	20	referring	refer	VERB
ajst-6866	118	21	to	to	ADP
ajst-6866	118	22	an	an	DET
ajst-6866	118	23	empirical	empirical	ADJ
ajst-6866	118	24	formula	formula	NOUN
ajst-6866	118	25	[	[	X
ajst-6866	118	26	15	15	NUM
ajst-6866	118	27	]	]	PUNCT
ajst-6866	118	28	,	,	PUNCT
ajst-6866	118	29	as	as	SCONJ
ajst-6866	118	30	shown	show	VERB
ajst-6866	118	31	in	in	ADP
ajst-6866	118	32	formula	formula	NOUN
ajst-6866	118	33	(	(	PUNCT
ajst-6866	118	34	6	6	NUM
ajst-6866	118	35	):	):	PUNCT
ajst-6866	118	36	h	h	NOUN
ajst-6866	118	37	m	m	VERB
ajst-6866	118	38	n	n	PRON
ajst-6866	118	39	a	a	NOUN
ajst-6866	118	40			VERB
ajst-6866	118	41			X
ajst-6866	118	42	(	(	PUNCT
ajst-6866	118	43	6	6	NUM
ajst-6866	118	44	)	)	PUNCT
ajst-6866	118	45	where	where	SCONJ
ajst-6866	118	46	m	m	VERB
ajst-6866	118	47	and	and	CCONJ
ajst-6866	118	48	n	n	PRON
ajst-6866	118	49	are	be	AUX
ajst-6866	118	50	the	the	DET
ajst-6866	118	51	number	number	NOUN
ajst-6866	118	52	of	of	ADP
ajst-6866	118	53	neurons	neuron	NOUN
ajst-6866	118	54	in	in	ADP
ajst-6866	118	55	the	the	DET
ajst-6866	118	56	input	input	NOUN
ajst-6866	118	57	and	and	CCONJ
ajst-6866	118	58	output	output	NOUN
ajst-6866	118	59	layers	layer	NOUN
ajst-6866	118	60	,	,	PUNCT
ajst-6866	118	61	respectively	respectively	ADV
ajst-6866	118	62	,	,	PUNCT
ajst-6866	118	63	and	and	CCONJ
ajst-6866	118	64	a	a	PRON
ajst-6866	118	65	is	be	AUX
ajst-6866	118	66	a	a	DET
ajst-6866	118	67	constant	constant	ADJ
ajst-6866	118	68	between	between	ADP
ajst-6866	118	69	1	1	NUM
ajst-6866	118	70	and	and	CCONJ
ajst-6866	118	71	10	10	NUM
ajst-6866	118	72	that	that	PRON
ajst-6866	118	73	allows	allow	VERB
ajst-6866	118	74	fine	fine	ADV
ajst-6866	118	75	-	-	PUNCT
ajst-6866	118	76	tuning	tune	VERB
ajst-6866	118	77	the	the	DET
ajst-6866	118	78	number	number	NOUN
ajst-6866	118	79	of	of	ADP
ajst-6866	118	80	neurons	neuron	NOUN
ajst-6866	118	81	.	.	PUNCT
ajst-6866	119	1	the	the	DET
ajst-6866	119	2	combined	combined	ADJ
ajst-6866	119	3	model	model	NOUN
ajst-6866	119	4	is	be	AUX
ajst-6866	119	5	based	base	VERB
ajst-6866	119	6	on	on	ADP
ajst-6866	119	7	the	the	DET
ajst-6866	119	8	bp	bp	PROPN
ajst-6866	119	9	neural	neural	ADJ
ajst-6866	119	10	network	network	NOUN
ajst-6866	119	11	and	and	CCONJ
ajst-6866	119	12	employs	employ	VERB
ajst-6866	119	13	the	the	DET
ajst-6866	119	14	genetic	genetic	ADJ
ajst-6866	119	15	algorithm	algorithm	NOUN
ajst-6866	119	16	to	to	PART
ajst-6866	119	17	optimize	optimize	VERB
ajst-6866	119	18	the	the	DET
ajst-6866	119	19	initial	initial	ADJ
ajst-6866	119	20	network	network	NOUN
ajst-6866	119	21	weights	weight	NOUN
ajst-6866	119	22	.	.	PUNCT
ajst-6866	120	1	real	real	ADJ
ajst-6866	120	2	number	number	NOUN
ajst-6866	120	3	encoding	encoding	NOUN
ajst-6866	120	4	is	be	AUX
ajst-6866	120	5	used	use	VERB
ajst-6866	120	6	for	for	ADP
ajst-6866	120	7	the	the	DET
ajst-6866	120	8	encoding	encoding	NOUN
ajst-6866	120	9	method	method	NOUN
ajst-6866	120	10	,	,	PUNCT
ajst-6866	120	11	and	and	CCONJ
ajst-6866	120	12	the	the	DET
ajst-6866	120	13	hyperparameters	hyperparameter	NOUN
ajst-6866	120	14	are	be	AUX
ajst-6866	120	15	specified	specify	VERB
ajst-6866	120	16	in	in	ADP
ajst-6866	120	17	table	table	NOUN
ajst-6866	120	18	2	2	NUM
ajst-6866	120	19	:	:	PUNCT
ajst-6866	120	20	table	table	NOUN
ajst-6866	120	21	2	2	NUM
ajst-6866	120	22	.	.	PUNCT
ajst-6866	120	23	super	super	ADJ
ajst-6866	120	24	parameter	parameter	NOUN
ajst-6866	120	25	setting	set	VERB
ajst-6866	120	26	hyperparameter	hyperparameter	NOUN
ajst-6866	120	27	type	type	NOUN
ajst-6866	120	28	hyperparameter	hyperparameter	NOUN
ajst-6866	120	29	value	value	NOUN
ajst-6866	120	30	population	population	NOUN
ajst-6866	120	31	size	size	NOUN
ajst-6866	120	32	8	8	NUM
ajst-6866	120	33	maximum	maximum	ADJ
ajst-6866	120	34	iterations	iteration	NOUN
ajst-6866	120	35	10	10	NUM
ajst-6866	120	36	crossover	crossover	NOUN
ajst-6866	120	37	rate	rate	NOUN
ajst-6866	120	38	0.8	0.8	NUM
ajst-6866	120	39	variation	variation	NOUN
ajst-6866	120	40	rate	rate	NOUN
ajst-6866	120	41	0.1	0.1	NUM
ajst-6866	120	42	4.2	4.2	NUM
ajst-6866	120	43	.	.	PUNCT
ajst-6866	121	1	evaluation	evaluation	NOUN
ajst-6866	121	2	criteria	criterion	NOUN
ajst-6866	121	3	in	in	ADP
ajst-6866	121	4	order	order	NOUN
ajst-6866	121	5	to	to	PART
ajst-6866	121	6	evaluate	evaluate	VERB
ajst-6866	121	7	the	the	DET
ajst-6866	121	8	fitting	fitting	ADJ
ajst-6866	121	9	effect	effect	NOUN
ajst-6866	121	10	of	of	ADP
ajst-6866	121	11	different	different	ADJ
ajst-6866	121	12	models	model	NOUN
ajst-6866	121	13	more	more	ADV
ajst-6866	121	14	objectively	objectively	ADV
ajst-6866	121	15	,	,	PUNCT
ajst-6866	121	16	the	the	DET
ajst-6866	121	17	study	study	NOUN
ajst-6866	121	18	uses	use	VERB
ajst-6866	121	19	a	a	DET
ajst-6866	121	20	series	series	NOUN
ajst-6866	121	21	of	of	ADP
ajst-6866	121	22	indexes	index	NOUN
ajst-6866	121	23	such	such	ADJ
ajst-6866	121	24	as	as	ADP
ajst-6866	121	25	mean	mean	ADJ
ajst-6866	121	26	square	square	ADJ
ajst-6866	121	27	error	error	NOUN
ajst-6866	121	28	to	to	PART
ajst-6866	121	29	evaluate	evaluate	VERB
ajst-6866	121	30	the	the	DET
ajst-6866	121	31	model	model	NOUN
ajst-6866	121	32	[	[	X
ajst-6866	121	33	16	16	NUM
ajst-6866	121	34	]	]	PUNCT
ajst-6866	121	35	,	,	PUNCT
ajst-6866	121	36	and	and	CCONJ
ajst-6866	121	37	its	its	PRON
ajst-6866	121	38	formula	formula	NOUN
ajst-6866	121	39	is	be	AUX
ajst-6866	121	40	shown	show	VERB
ajst-6866	121	41	in	in	ADP
ajst-6866	121	42	(	(	PUNCT
ajst-6866	121	43	7	7	NUM
ajst-6866	121	44	)	)	PUNCT
ajst-6866	121	45	to	to	ADP
ajst-6866	121	46	(	(	PUNCT
ajst-6866	121	47	10	10	NUM
ajst-6866	121	48	)	)	PUNCT
ajst-6866	121	49	.	.	PUNCT
ajst-6866	122	1	mean	mean	VERB
ajst-6866	122	2	square	square	ADJ
ajst-6866	122	3	error	error	NOUN
ajst-6866	122	4	:	:	PUNCT
ajst-6866	122	5	(	(	PUNCT
ajst-6866	122	6	7	7	X
ajst-6866	122	7	)	)	PUNCT
ajst-6866	122	8	mean	mean	VERB
ajst-6866	122	9	absolute	absolute	ADJ
ajst-6866	122	10	error	error	NOUN
ajst-6866	122	11	:	:	PUNCT
ajst-6866	122	12			NOUN
ajst-6866	122	13			SYM
ajst-6866	122	14	2	2	NUM
ajst-6866	122	15	1	1	NUM
ajst-6866	122	16	1	1	NUM
ajst-6866	122	17	n	n	NOUN
ajst-6866	123	1	i	i	PRON
ajst-6866	123	2	i	i	PRON
ajst-6866	124	1	i	i	PRON
ajst-6866	124	2	ˆmae	ˆmae	VERB
ajst-6866	124	3	y	y	PROPN
ajst-6866	124	4	y	y	PROPN
ajst-6866	125	1	n	n	CCONJ
ajst-6866	125	2			NUM
ajst-6866	125	3			NUM
ajst-6866	126	1			NOUN
ajst-6866	126	2	(	(	PUNCT
ajst-6866	126	3	8)	8)	NUM
ajst-6866	126	4	average	average	ADJ
ajst-6866	126	5	absolute	absolute	ADJ
ajst-6866	126	6	percentage	percentage	NOUN
ajst-6866	126	7	error	error	NOUN
ajst-6866	126	8	:	:	PUNCT
ajst-6866	126	9	1	1	NUM
ajst-6866	126	10	1	1	NUM
ajst-6866	126	11	n	n	NOUN
ajst-6866	126	12	i	i	PRON
ajst-6866	127	1	i	i	PRON
ajst-6866	127	2	i	i	PRON
ajst-6866	127	3	ˆmape	ˆmape	VERB
ajst-6866	127	4	y	y	PROPN
ajst-6866	127	5	y	y	PROPN
ajst-6866	128	1	n	n	CCONJ
ajst-6866	128	2			NUM
ajst-6866	128	3			NUM
ajst-6866	129	1			NOUN
ajst-6866	129	2	(	(	PUNCT
ajst-6866	129	3	9	9	NUM
ajst-6866	129	4	)	)	PUNCT
ajst-6866	129	5	r	r	NOUN
ajst-6866	129	6	-	-	PUNCT
ajst-6866	129	7	squared	squared	ADJ
ajst-6866	129	8	:	:	PUNCT
ajst-6866	129	9			NOUN
ajst-6866	129	10			SYM
ajst-6866	129	11			NOUN
ajst-6866	129	12			NOUN
ajst-6866	129	13	2	2	NUM
ajst-6866	129	14	1	1	NUM
ajst-6866	129	15	1	1	NUM
ajst-6866	129	16	1	1	NUM
ajst-6866	129	17	n	n	NUM
ajst-6866	129	18	i	i	PRON
ajst-6866	130	1	i	i	PRON
ajst-6866	130	2	i	i	PRON
ajst-6866	131	1	n	n	VERB
ajst-6866	132	1	i	i	PRON
ajst-6866	132	2	i	i	PRON
ajst-6866	133	1	ŷ	ŷ	VERB
ajst-6866	134	1	y	y	NOUN
ajst-6866	134	2	r	r	NOUN
ajst-6866	134	3	y	y	PROPN
ajst-6866	134	4	y	y	PROPN
ajst-6866	134	5			PROPN
ajst-6866	134	6			PROPN
ajst-6866	134	7			PROPN
ajst-6866	134	8			PROPN
ajst-6866	134	9			PROPN
ajst-6866	134	10			PROPN
ajst-6866	134	11			X
ajst-6866	134	12			X
ajst-6866	134	13	(	(	PUNCT
ajst-6866	134	14	10	10	NUM
ajst-6866	134	15	)	)	PUNCT
ajst-6866	134	16	the	the	DET
ajst-6866	134	17	variable	variable	NOUN
ajst-6866	134	18	n	n	PRON
ajst-6866	134	19	represents	represent	VERB
ajst-6866	134	20	the	the	DET
ajst-6866	134	21	sample	sample	NOUN
ajst-6866	134	22	size	size	NOUN
ajst-6866	134	23	of	of	ADP
ajst-6866	134	24	the	the	DET
ajst-6866	134	25	research	research	NOUN
ajst-6866	134	26	data	datum	NOUN
ajst-6866	134	27	,	,	PUNCT
ajst-6866	134	28	where	where	SCONJ
ajst-6866	134	29	iy	iy	PROPN
ajst-6866	134	30	is	be	AUX
ajst-6866	134	31	the	the	DET
ajst-6866	134	32	real	real	ADJ
ajst-6866	134	33	passenger	passenger	NOUN
ajst-6866	134	34	flow	flow	NOUN
ajst-6866	134	35	on	on	ADP
ajst-6866	134	36	the	the	DET
ajst-6866	134	37	i	i	PROPN
ajst-6866	134	38	-	-	PUNCT
ajst-6866	134	39	th	th	X
ajst-6866	134	40	day	day	NOUN
ajst-6866	134	41	,	,	PUNCT
ajst-6866	134	42	iŷ	iŷ	PROPN
ajst-6866	134	43	is	be	AUX
ajst-6866	134	44	the	the	DET
ajst-6866	134	45	predicted	predict	VERB
ajst-6866	134	46	passenger	passenger	NOUN
ajst-6866	134	47	flow	flow	NOUN
ajst-6866	134	48	on	on	ADP
ajst-6866	134	49	the	the	DET
ajst-6866	134	50	i	i	PROPN
ajst-6866	134	51	-	-	PUNCT
ajst-6866	134	52	th	th	X
ajst-6866	134	53	day	day	NOUN
ajst-6866	134	54	,	,	PUNCT
ajst-6866	134	55	and	and	CCONJ
ajst-6866	134	56	y	y	PROPN
ajst-6866	134	57	is	be	AUX
ajst-6866	134	58	the	the	DET
ajst-6866	134	59	average	average	ADJ
ajst-6866	134	60	passenger	passenger	NOUN
ajst-6866	134	61	flow	flow	NOUN
ajst-6866	134	62	.	.	PUNCT
ajst-6866	135	1	the	the	DET
ajst-6866	135	2	mse	mse	PROPN
ajst-6866	135	3	,	,	PUNCT
ajst-6866	135	4	mae	mae	PROPN
ajst-6866	135	5	,	,	PUNCT
ajst-6866	135	6	and	and	CCONJ
ajst-6866	135	7	mape	mape	NOUN
ajst-6866	135	8	measure	measure	VERB
ajst-6866	135	9	the	the	DET
ajst-6866	135	10	deviation	deviation	NOUN
ajst-6866	135	11	between	between	ADP
ajst-6866	135	12	the	the	DET
ajst-6866	135	13	real	real	ADJ
ajst-6866	135	14	values	value	NOUN
ajst-6866	135	15	and	and	CCONJ
ajst-6866	135	16	the	the	DET
ajst-6866	135	17	predicted	predict	VERB
ajst-6866	135	18	values	value	NOUN
ajst-6866	135	19	[	[	X
ajst-6866	135	20	17	17	NUM
ajst-6866	135	21	]	]	PUNCT
ajst-6866	135	22	.	.	PUNCT
ajst-6866	136	1	the	the	PRON
ajst-6866	136	2	closer	close	ADJ
ajst-6866	136	3	the	the	DET
ajst-6866	136	4	r	r	NOUN
ajst-6866	136	5	-	-	PUNCT
ajst-6866	136	6	squared	squared	ADJ
ajst-6866	136	7	is	be	AUX
ajst-6866	136	8	to	to	ADP
ajst-6866	136	9	1	1	NUM
ajst-6866	136	10	,	,	PUNCT
ajst-6866	136	11	the	the	PRON
ajst-6866	136	12	better	well	ADJ
ajst-6866	136	13	the	the	DET
ajst-6866	136	14	fitting	fitting	ADJ
ajst-6866	136	15	effect	effect	NOUN
ajst-6866	136	16	of	of	ADP
ajst-6866	136	17	the	the	DET
ajst-6866	136	18	model	model	NOUN
ajst-6866	136	19	,	,	PUNCT
ajst-6866	136	20	and	and	CCONJ
ajst-6866	136	21	vice	vice	ADV
ajst-6866	136	22	versa	versa	ADV
ajst-6866	136	23	.	.	PUNCT
ajst-6866	137	1	however	however	ADV
ajst-6866	137	2	,	,	PUNCT
ajst-6866	137	3	as	as	SCONJ
ajst-6866	137	4	the	the	DET
ajst-6866	137	5	sample	sample	NOUN
ajst-6866	137	6	size	size	NOUN
ajst-6866	137	7	increases	increase	NOUN
ajst-6866	137	8	,	,	PUNCT
ajst-6866	137	9	the	the	DET
ajst-6866	137	10	r	r	NOUN
ajst-6866	137	11	-	-	PUNCT
ajst-6866	137	12	squared	squared	ADJ
ajst-6866	137	13	is	be	AUX
ajst-6866	137	14	bound	bind	VERB
ajst-6866	137	15	to	to	PART
ajst-6866	137	16	increase	increase	VERB
ajst-6866	137	17	,	,	PUNCT
ajst-6866	137	18	making	make	VERB
ajst-6866	137	19	it	it	PRON
ajst-6866	137	20	impossible	impossible	ADJ
ajst-6866	137	21	to	to	PART
ajst-6866	137	22	accurately	accurately	ADV
ajst-6866	137	23	judge	judge	VERB
ajst-6866	137	24	the	the	DET
ajst-6866	137	25	accuracy	accuracy	NOUN
ajst-6866	137	26	of	of	ADP
ajst-6866	137	27	the	the	DET
ajst-6866	137	28	model	model	NOUN
ajst-6866	137	29	.	.	PUNCT
ajst-6866	138	1	therefore	therefore	ADV
ajst-6866	138	2	,	,	PUNCT
ajst-6866	138	3	it	it	PRON
ajst-6866	138	4	is	be	AUX
ajst-6866	138	5	necessary	necessary	ADJ
ajst-6866	138	6	to	to	PART
ajst-6866	138	7	use	use	VERB
ajst-6866	138	8	multiple	multiple	ADJ
ajst-6866	138	9	indicators	indicator	NOUN
ajst-6866	138	10	to	to	PART
ajst-6866	138	11	analyze	analyze	VERB
ajst-6866	138	12	and	and	CCONJ
ajst-6866	138	13	evaluate	evaluate	VERB
ajst-6866	138	14	the	the	DET
ajst-6866	138	15	model	model	NOUN
ajst-6866	138	16	.	.	PUNCT
ajst-6866	139	1	4.3	4.3	NUM
ajst-6866	139	2	.	.	PUNCT
ajst-6866	139	3	analysis	analysis	NOUN
ajst-6866	139	4	of	of	ADP
ajst-6866	139	5	model	model	NOUN
ajst-6866	139	6	results	result	NOUN
ajst-6866	139	7	4.3.1	4.3.1	NUM
ajst-6866	139	8	.	.	PUNCT
ajst-6866	139	9	prediction	prediction	NOUN
ajst-6866	139	10	result	result	NOUN
ajst-6866	139	11	of	of	ADP
ajst-6866	139	12	time	time	NOUN
ajst-6866	139	13	series	series	PROPN
ajst-6866	139	14	figure	figure	NOUN
ajst-6866	139	15	7	7	NUM
ajst-6866	139	16	.	.	PUNCT
ajst-6866	139	17	prediction	prediction	NOUN
ajst-6866	139	18	result	result	NOUN
ajst-6866	139	19	of	of	ADP
ajst-6866	139	20	time	time	NOUN
ajst-6866	139	21	series	series	NOUN
ajst-6866	139	22	based	base	VERB
ajst-6866	139	23	on	on	ADP
ajst-6866	139	24	figure	figure	NOUN
ajst-6866	139	25	7	7	NUM
ajst-6866	139	26	,	,	PUNCT
ajst-6866	139	27	it	it	PRON
ajst-6866	139	28	is	be	AUX
ajst-6866	139	29	evident	evident	ADJ
ajst-6866	139	30	that	that	SCONJ
ajst-6866	139	31	time	time	NOUN
ajst-6866	139	32	series	series	PROPN
ajst-6866	139	33	prediction	prediction	NOUN
ajst-6866	139	34	can	can	AUX
ajst-6866	139	35	identify	identify	VERB
ajst-6866	139	36	the	the	DET
ajst-6866	139	37	trend	trend	NOUN
ajst-6866	139	38	and	and	CCONJ
ajst-6866	139	39	development	development	NOUN
ajst-6866	139	40	patterns	pattern	NOUN
ajst-6866	139	41	of	of	ADP
ajst-6866	139	42	variables	variable	NOUN
ajst-6866	139	43	,	,	PUNCT
ajst-6866	139	44	thereby	thereby	ADV
ajst-6866	139	45	enabling	enable	VERB
ajst-6866	139	46	effective	effective	ADJ
ajst-6866	139	47	future	future	ADJ
ajst-6866	139	48	prediction	prediction	NOUN
ajst-6866	139	49	.	.	PUNCT
ajst-6866	140	1	however	however	ADV
ajst-6866	140	2	,	,	PUNCT
ajst-6866	140	3	this	this	DET
ajst-6866	140	4	approach	approach	NOUN
ajst-6866	140	5	disregards	disregard	VERB
ajst-6866	140	6	the	the	DET
ajst-6866	140	7	influence	influence	NOUN
ajst-6866	140	8	of	of	ADP
ajst-6866	140	9	external	external	ADJ
ajst-6866	140	10	conditions	condition	NOUN
ajst-6866	140	11	typically	typically	ADV
ajst-6866	140	12	.	.	PUNCT
ajst-6866	141	1	in	in	ADP
ajst-6866	141	2	actual	actual	ADJ
ajst-6866	141	3	prediction	prediction	NOUN
ajst-6866	141	4	,	,	PUNCT
ajst-6866	141	5	the	the	DET
ajst-6866	141	6	historical	historical	ADJ
ajst-6866	141	7	and	and	CCONJ
ajst-6866	141	8	present	present	ADJ
ajst-6866	141	9	development	development	NOUN
ajst-6866	141	10	patterns	pattern	NOUN
ajst-6866	141	11	may	may	AUX
ajst-6866	141	12	differ	differ	VERB
ajst-6866	141	13	,	,	PUNCT
ajst-6866	141	14	leading	lead	VERB
ajst-6866	141	15	to	to	ADP
ajst-6866	141	16	a	a	DET
ajst-6866	141	17	significant	significant	ADJ
ajst-6866	141	18	deviation	deviation	NOUN
ajst-6866	141	19	.	.	PUNCT
ajst-6866	142	1	the	the	DET
ajst-6866	142	2	mse	mse	NOUN
ajst-6866	142	3	value	value	NOUN
ajst-6866	142	4	for	for	ADP
ajst-6866	142	5	this	this	DET
ajst-6866	142	6	time	time	NOUN
ajst-6866	142	7	series	series	NOUN
ajst-6866	142	8	prediction	prediction	NOUN
ajst-6866	142	9	is	be	AUX
ajst-6866	142	10	0.8545	0.8545	NUM
ajst-6866	142	11	,	,	PUNCT
ajst-6866	142	12	the	the	DET
ajst-6866	142	13	mae	mae	PROPN
ajst-6866	142	14	value	value	NOUN
ajst-6866	142	15	is	be	AUX
ajst-6866	142	16	0.6492	0.6492	NUM
ajst-6866	142	17	,	,	PUNCT
ajst-6866	142	18	and	and	CCONJ
ajst-6866	142	19	the	the	DET
ajst-6866	142	20	r2	r2	PROPN
ajst-6866	142	21	value	value	NOUN
ajst-6866	142	22	is	be	AUX
ajst-6866	142	23	0.9158	0.9158	NUM
ajst-6866	142	24	,	,	PUNCT
ajst-6866	142	25	indicating	indicate	VERB
ajst-6866	142	26	relatively	relatively	ADV
ajst-6866	142	27	accurate	accurate	ADJ
ajst-6866	142	28	overall	overall	ADJ
ajst-6866	142	29	prediction	prediction	NOUN
ajst-6866	142	30	.	.	PUNCT
ajst-6866	143	1	however	however	ADV
ajst-6866	143	2	,	,	PUNCT
ajst-6866	143	3	the	the	DET
ajst-6866	143	4	maximum	maximum	ADJ
ajst-6866	143	5	error	error	NOUN
ajst-6866	143	6	can	can	AUX
ajst-6866	143	7	reach	reach	VERB
ajst-6866	143	8	3.3531	3.3531	NUM
ajst-6866	143	9	.	.	PUNCT
ajst-6866	144	1	this	this	PRON
ajst-6866	144	2	could	could	AUX
ajst-6866	144	3	be	be	AUX
ajst-6866	144	4	due	due	ADJ
ajst-6866	144	5	to	to	ADP
ajst-6866	144	6	the	the	DET
ajst-6866	144	7	sudden	sudden	ADJ
ajst-6866	144	8	surge	surge	NOUN
ajst-6866	144	9	in	in	ADP
ajst-6866	144	10	passenger	passenger	NOUN
ajst-6866	144	11	traffic	traffic	NOUN
ajst-6866	144	12	caused	cause	VERB
ajst-6866	144	13	by	by	ADP
ajst-6866	144	14	some	some	DET
ajst-6866	144	15	holidays	holiday	NOUN
ajst-6866	144	16	(	(	PUNCT
ajst-6866	144	17	such	such	ADJ
ajst-6866	144	18	as	as	ADP
ajst-6866	144	19	may	may	PROPN
ajst-6866	144	20	day	day	NOUN
ajst-6866	144	21	golden	golden	ADJ
ajst-6866	144	22	week	week	NOUN
ajst-6866	144	23	)	)	PUNCT
ajst-6866	144	24	or	or	CCONJ
ajst-6866	144	25	sharp	sharp	ADJ
ajst-6866	144	26	decreases	decrease	NOUN
ajst-6866	144	27	in	in	ADP
ajst-6866	144	28	public	public	ADJ
ajst-6866	144	29	emergencies	emergency	NOUN
ajst-6866	144	30	(	(	PUNCT
ajst-6866	144	31	such	such	ADJ
ajst-6866	144	32	as	as	ADP
ajst-6866	144	33	the	the	DET
ajst-6866	144	34	covid-19	covid-19	PROPN
ajst-6866	144	35	pandemic	pandemic	NOUN
ajst-6866	144	36	)	)	PUNCT
ajst-6866	144	37	,	,	PUNCT
ajst-6866	144	38	which	which	PRON
ajst-6866	144	39	can	can	AUX
ajst-6866	144	40			VERB
ajst-6866	144	41			PROPN
ajst-6866	144	42	2	2	NUM
ajst-6866	144	43	1	1	NUM
ajst-6866	144	44	1	1	NUM
ajst-6866	144	45	ˆ	ˆ	NOUN
ajst-6866	144	46	n	n	NOUN
ajst-6866	145	1	i	i	PRON
ajst-6866	146	1	i	i	PRON
ajst-6866	147	1	i	i	PRON
ajst-6866	147	2	mse	mse	VERB
ajst-6866	147	3	y	y	PROPN
ajst-6866	147	4	y	y	PROPN
ajst-6866	148	1	n	n	CCONJ
ajst-6866	148	2			NUM
ajst-6866	148	3			NUM
ajst-6866	149	1			NOUN
ajst-6866	149	2	205	205	NUM
ajst-6866	149	3	invalidate	invalidate	VERB
ajst-6866	149	4	the	the	DET
ajst-6866	149	5	method	method	NOUN
ajst-6866	149	6	in	in	ADP
ajst-6866	149	7	some	some	DET
ajst-6866	149	8	cases	case	NOUN
ajst-6866	149	9	.	.	PUNCT
ajst-6866	150	1	therefore	therefore	ADV
ajst-6866	150	2	,	,	PUNCT
ajst-6866	150	3	we	we	PRON
ajst-6866	150	4	need	need	VERB
ajst-6866	150	5	models	model	NOUN
ajst-6866	150	6	with	with	ADP
ajst-6866	150	7	stronger	strong	ADJ
ajst-6866	150	8	generalization	generalization	NOUN
ajst-6866	150	9	ability	ability	NOUN
ajst-6866	150	10	.	.	PUNCT
ajst-6866	151	1	4.3.2	4.3.2	X
ajst-6866	151	2	.	.	PUNCT
ajst-6866	151	3	prediction	prediction	NOUN
ajst-6866	151	4	result	result	NOUN
ajst-6866	151	5	of	of	ADP
ajst-6866	151	6	bp	bp	PROPN
ajst-6866	151	7	neural	neural	ADJ
ajst-6866	151	8	network	network	NOUN
ajst-6866	151	9	figure	figure	NOUN
ajst-6866	151	10	8	8	NUM
ajst-6866	151	11	.	.	PUNCT
ajst-6866	151	12	prediction	prediction	NOUN
ajst-6866	151	13	result	result	NOUN
ajst-6866	151	14	of	of	ADP
ajst-6866	151	15	bp	bp	PROPN
ajst-6866	151	16	neural	neural	ADJ
ajst-6866	151	17	network	network	NOUN
ajst-6866	151	18	based	base	VERB
ajst-6866	151	19	on	on	ADP
ajst-6866	151	20	figure	figure	NOUN
ajst-6866	151	21	8	8	NUM
ajst-6866	151	22	,	,	PUNCT
ajst-6866	151	23	it	it	PRON
ajst-6866	151	24	is	be	AUX
ajst-6866	151	25	evident	evident	ADJ
ajst-6866	151	26	that	that	SCONJ
ajst-6866	151	27	the	the	DET
ajst-6866	151	28	bp	bp	PROPN
ajst-6866	151	29	neural	neural	PROPN
ajst-6866	151	30	network	network	NOUN
ajst-6866	151	31	has	have	VERB
ajst-6866	151	32	a	a	DET
ajst-6866	151	33	better	well	ADV
ajst-6866	151	34	fitting	fitting	ADJ
ajst-6866	151	35	effect	effect	NOUN
ajst-6866	151	36	for	for	ADP
ajst-6866	151	37	some	some	DET
ajst-6866	151	38	specific	specific	ADJ
ajst-6866	151	39	points	point	NOUN
ajst-6866	151	40	as	as	ADP
ajst-6866	151	41	compared	compare	VERB
ajst-6866	151	42	to	to	ADP
ajst-6866	151	43	time	time	NOUN
ajst-6866	151	44	series	series	PROPN
ajst-6866	151	45	prediction	prediction	PROPN
ajst-6866	151	46	.	.	PUNCT
ajst-6866	152	1	this	this	PRON
ajst-6866	152	2	can	can	AUX
ajst-6866	152	3	be	be	AUX
ajst-6866	152	4	attributed	attribute	VERB
ajst-6866	152	5	to	to	ADP
ajst-6866	152	6	the	the	DET
ajst-6866	152	7	excellent	excellent	ADJ
ajst-6866	152	8	learning	learning	NOUN
ajst-6866	152	9	ability	ability	NOUN
ajst-6866	152	10	of	of	ADP
ajst-6866	152	11	the	the	DET
ajst-6866	152	12	bp	bp	PROPN
ajst-6866	152	13	neural	neural	ADJ
ajst-6866	152	14	network	network	NOUN
ajst-6866	152	15	.	.	PUNCT
ajst-6866	153	1	the	the	DET
ajst-6866	153	2	maximum	maximum	ADJ
ajst-6866	153	3	error	error	NOUN
ajst-6866	153	4	of	of	ADP
ajst-6866	153	5	this	this	DET
ajst-6866	153	6	fitting	fitting	ADJ
ajst-6866	153	7	result	result	NOUN
ajst-6866	153	8	is	be	AUX
ajst-6866	153	9	2.8097	2.8097	NUM
ajst-6866	153	10	,	,	PUNCT
ajst-6866	153	11	which	which	PRON
ajst-6866	153	12	is	be	AUX
ajst-6866	153	13	lower	low	ADJ
ajst-6866	153	14	than	than	ADP
ajst-6866	153	15	the	the	DET
ajst-6866	153	16	3.3531	3.3531	NUM
ajst-6866	153	17	error	error	NOUN
ajst-6866	153	18	observed	observe	VERB
ajst-6866	153	19	for	for	ADP
ajst-6866	153	20	time	time	NOUN
ajst-6866	153	21	series	series	PROPN
ajst-6866	153	22	prediction	prediction	PROPN
ajst-6866	153	23	.	.	PUNCT
ajst-6866	154	1	however	however	ADV
ajst-6866	154	2	,	,	PUNCT
ajst-6866	154	3	the	the	DET
ajst-6866	154	4	traditional	traditional	ADJ
ajst-6866	154	5	bp	bp	PROPN
ajst-6866	154	6	neural	neural	ADJ
ajst-6866	154	7	network	network	NOUN
ajst-6866	154	8	has	have	VERB
ajst-6866	154	9	a	a	DET
ajst-6866	154	10	slow	slow	ADJ
ajst-6866	154	11	convergence	convergence	NOUN
ajst-6866	154	12	speed	speed	NOUN
ajst-6866	154	13	and	and	CCONJ
ajst-6866	154	14	relatively	relatively	ADV
ajst-6866	154	15	low	low	ADJ
ajst-6866	154	16	fitting	fitting	ADJ
ajst-6866	154	17	efficiency	efficiency	NOUN
ajst-6866	154	18	.	.	PUNCT
ajst-6866	155	1	the	the	DET
ajst-6866	155	2	fitting	fitting	PROPN
ajst-6866	155	3	mse	mse	NOUN
ajst-6866	155	4	is	be	AUX
ajst-6866	155	5	1.1961	1.1961	NUM
ajst-6866	155	6	and	and	CCONJ
ajst-6866	155	7	mae	mae	PROPN
ajst-6866	155	8	is	be	AUX
ajst-6866	155	9	0.8771	0.8771	NUM
ajst-6866	155	10	,	,	PUNCT
ajst-6866	155	11	which	which	PRON
ajst-6866	155	12	are	be	AUX
ajst-6866	155	13	both	both	ADV
ajst-6866	155	14	higher	high	ADJ
ajst-6866	155	15	than	than	ADP
ajst-6866	155	16	the	the	DET
ajst-6866	155	17	results	result	NOUN
ajst-6866	155	18	obtained	obtain	VERB
ajst-6866	155	19	from	from	ADP
ajst-6866	155	20	time	time	NOUN
ajst-6866	155	21	series	series	PROPN
ajst-6866	155	22	fitting	fitting	ADJ
ajst-6866	155	23	.	.	PUNCT
ajst-6866	156	1	additionally	additionally	ADV
ajst-6866	156	2	,	,	PUNCT
ajst-6866	156	3	the	the	DET
ajst-6866	156	4	r2	r2	PROPN
ajst-6866	156	5	value	value	NOUN
ajst-6866	156	6	of	of	ADP
ajst-6866	156	7	the	the	DET
ajst-6866	156	8	bp	bp	PROPN
ajst-6866	156	9	neural	neural	PROPN
ajst-6866	156	10	network	network	NOUN
ajst-6866	156	11	is	be	AUX
ajst-6866	156	12	0.8901	0.8901	NUM
ajst-6866	156	13	,	,	PUNCT
ajst-6866	156	14	which	which	PRON
ajst-6866	156	15	is	be	AUX
ajst-6866	156	16	lower	low	ADJ
ajst-6866	156	17	than	than	ADP
ajst-6866	156	18	the	the	DET
ajst-6866	156	19	r	r	NOUN
ajst-6866	156	20	-	-	PUNCT
ajst-6866	156	21	squared	square	VERB
ajst-6866	156	22	value	value	NOUN
ajst-6866	156	23	obtained	obtain	VERB
ajst-6866	156	24	from	from	ADP
ajst-6866	156	25	time	time	NOUN
ajst-6866	156	26	series	series	PROPN
ajst-6866	156	27	prediction	prediction	PROPN
ajst-6866	156	28	.	.	PUNCT
ajst-6866	157	1	therefore	therefore	ADV
ajst-6866	157	2	,	,	PUNCT
ajst-6866	157	3	the	the	DET
ajst-6866	157	4	fitting	fitting	ADJ
ajst-6866	157	5	effect	effect	NOUN
ajst-6866	157	6	of	of	ADP
ajst-6866	157	7	traditional	traditional	ADJ
ajst-6866	157	8	bp	bp	PROPN
ajst-6866	157	9	neural	neural	ADJ
ajst-6866	157	10	network	network	NOUN
ajst-6866	157	11	is	be	AUX
ajst-6866	157	12	not	not	PART
ajst-6866	157	13	optimal	optimal	ADJ
ajst-6866	157	14	and	and	CCONJ
ajst-6866	157	15	requires	require	VERB
ajst-6866	157	16	improvement	improvement	NOUN
ajst-6866	157	17	to	to	PART
ajst-6866	157	18	enhance	enhance	VERB
ajst-6866	157	19	its	its	PRON
ajst-6866	157	20	prediction	prediction	NOUN
ajst-6866	157	21	accuracy	accuracy	NOUN
ajst-6866	157	22	.	.	PUNCT
ajst-6866	158	1	4.3.3	4.3.3	X
ajst-6866	158	2	.	.	PUNCT
ajst-6866	158	3	prediction	prediction	NOUN
ajst-6866	158	4	results	result	NOUN
ajst-6866	158	5	of	of	ADP
ajst-6866	158	6	ga	ga	PROPN
ajst-6866	158	7	-	-	PUNCT
ajst-6866	158	8	bp	bp	PROPN
ajst-6866	158	9	neural	neural	ADJ
ajst-6866	158	10	network	network	NOUN
ajst-6866	158	11	combination	combination	NOUN
ajst-6866	158	12	model	model	NOUN
ajst-6866	158	13	figure	figure	NOUN
ajst-6866	158	14	9	9	NUM
ajst-6866	158	15	.	.	PUNCT
ajst-6866	158	16	ga	ga	PROPN
ajst-6866	158	17	-	-	PUNCT
ajst-6866	158	18	bp	bp	PROPN
ajst-6866	158	19	neural	neural	ADJ
ajst-6866	158	20	network	network	NOUN
ajst-6866	158	21	prediction	prediction	NOUN
ajst-6866	158	22	based	base	VERB
ajst-6866	158	23	on	on	ADP
ajst-6866	158	24	figure	figure	NOUN
ajst-6866	158	25	9	9	NUM
ajst-6866	158	26	,	,	PUNCT
ajst-6866	158	27	it	it	PRON
ajst-6866	158	28	is	be	AUX
ajst-6866	158	29	apparent	apparent	ADJ
ajst-6866	158	30	that	that	SCONJ
ajst-6866	158	31	the	the	DET
ajst-6866	158	32	neural	neural	ADJ
ajst-6866	158	33	network	network	NOUN
ajst-6866	158	34	improved	improve	VERB
ajst-6866	158	35	by	by	ADP
ajst-6866	158	36	genetic	genetic	ADJ
ajst-6866	158	37	algorithm	algorithm	NOUN
ajst-6866	158	38	is	be	AUX
ajst-6866	158	39	more	more	ADV
ajst-6866	158	40	suitable	suitable	ADJ
ajst-6866	158	41	for	for	ADP
ajst-6866	158	42	actual	actual	ADJ
ajst-6866	158	43	passenger	passenger	NOUN
ajst-6866	158	44	flow	flow	NOUN
ajst-6866	158	45	and	and	CCONJ
ajst-6866	158	46	has	have	VERB
ajst-6866	158	47	a	a	DET
ajst-6866	158	48	superior	superior	ADJ
ajst-6866	158	49	fitting	fitting	ADJ
ajst-6866	158	50	effect	effect	NOUN
ajst-6866	158	51	.	.	PUNCT
ajst-6866	159	1	its	its	PRON
ajst-6866	159	2	mse	mse	NOUN
ajst-6866	159	3	is	be	AUX
ajst-6866	159	4	0.2427	0.2427	NUM
ajst-6866	159	5	,	,	PUNCT
ajst-6866	159	6	mae	mae	PROPN
ajst-6866	159	7	is	be	AUX
ajst-6866	159	8	0.4147	0.4147	NUM
ajst-6866	159	9	,	,	PUNCT
ajst-6866	159	10	maximum	maximum	ADJ
ajst-6866	159	11	error	error	NOUN
ajst-6866	159	12	is	be	AUX
ajst-6866	159	13	1.4416	1.4416	NUM
ajst-6866	159	14	,	,	PUNCT
ajst-6866	159	15	and	and	CCONJ
ajst-6866	159	16	r2	r2	PROPN
ajst-6866	159	17	is	be	AUX
ajst-6866	159	18	0.9749	0.9749	NUM
ajst-6866	159	19	,	,	PUNCT
ajst-6866	159	20	which	which	PRON
ajst-6866	159	21	is	be	AUX
ajst-6866	159	22	better	well	ADJ
ajst-6866	159	23	than	than	ADP
ajst-6866	159	24	the	the	DET
ajst-6866	159	25	results	result	NOUN
ajst-6866	159	26	obtained	obtain	VERB
ajst-6866	159	27	by	by	ADP
ajst-6866	159	28	time	time	NOUN
ajst-6866	159	29	series	series	NOUN
ajst-6866	159	30	prediction	prediction	NOUN
ajst-6866	159	31	and	and	CCONJ
ajst-6866	159	32	bp	bp	PROPN
ajst-6866	159	33	neural	neural	ADJ
ajst-6866	159	34	network	network	NOUN
ajst-6866	159	35	prediction	prediction	NOUN
ajst-6866	159	36	.	.	PUNCT
ajst-6866	160	1	this	this	DET
ajst-6866	160	2	model	model	NOUN
ajst-6866	160	3	can	can	AUX
ajst-6866	160	4	effectively	effectively	ADV
ajst-6866	160	5	predict	predict	VERB
ajst-6866	160	6	various	various	ADJ
ajst-6866	160	7	changes	change	NOUN
ajst-6866	160	8	in	in	ADP
ajst-6866	160	9	passenger	passenger	NOUN
ajst-6866	160	10	flow	flow	NOUN
ajst-6866	160	11	.	.	PUNCT
ajst-6866	161	1	4.3.4	4.3.4	X
ajst-6866	161	2	.	.	PUNCT
ajst-6866	162	1	analysis	analysis	NOUN
ajst-6866	162	2	of	of	ADP
ajst-6866	162	3	forecast	forecast	NOUN
ajst-6866	162	4	results	result	NOUN
ajst-6866	162	5	based	base	VERB
ajst-6866	162	6	on	on	ADP
ajst-6866	162	7	figure	figure	NOUN
ajst-6866	162	8	10	10	NUM
ajst-6866	162	9	,	,	PUNCT
ajst-6866	162	10	it	it	PRON
ajst-6866	162	11	is	be	AUX
ajst-6866	162	12	evident	evident	ADJ
ajst-6866	162	13	that	that	SCONJ
ajst-6866	162	14	the	the	DET
ajst-6866	162	15	improved	improved	ADJ
ajst-6866	162	16	combination	combination	NOUN
ajst-6866	162	17	model	model	NOUN
ajst-6866	162	18	has	have	VERB
ajst-6866	162	19	a	a	DET
ajst-6866	162	20	higher	high	ADJ
ajst-6866	162	21	degree	degree	NOUN
ajst-6866	162	22	of	of	ADP
ajst-6866	162	23	fitting	fitting	NOUN
ajst-6866	162	24	to	to	ADP
ajst-6866	162	25	the	the	DET
ajst-6866	162	26	predicted	predict	VERB
ajst-6866	162	27	value	value	NOUN
ajst-6866	162	28	.	.	PUNCT
ajst-6866	163	1	furthermore	furthermore	ADV
ajst-6866	163	2	,	,	PUNCT
ajst-6866	163	3	the	the	DET
ajst-6866	163	4	model	model	NOUN
ajst-6866	163	5	's	's	PART
ajst-6866	163	6	advantages	advantage	NOUN
ajst-6866	163	7	include	include	VERB
ajst-6866	163	8	fast	fast	ADJ
ajst-6866	163	9	convergence	convergence	NOUN
ajst-6866	163	10	speed	speed	NOUN
ajst-6866	163	11	,	,	PUNCT
ajst-6866	163	12	high	high	ADJ
ajst-6866	163	13	algorithm	algorithm	NOUN
ajst-6866	163	14	efficiency	efficiency	NOUN
ajst-6866	163	15	,	,	PUNCT
ajst-6866	163	16	and	and	CCONJ
ajst-6866	163	17	an	an	DET
ajst-6866	163	18	ability	ability	NOUN
ajst-6866	163	19	to	to	PART
ajst-6866	163	20	avoid	avoid	VERB
ajst-6866	163	21	local	local	ADJ
ajst-6866	163	22	optima	optima	NOUN
ajst-6866	163	23	,	,	PUNCT
ajst-6866	163	24	as	as	SCONJ
ajst-6866	163	25	illustrated	illustrate	VERB
ajst-6866	163	26	in	in	ADP
ajst-6866	163	27	figure	figure	NOUN
ajst-6866	163	28	11	11	NUM
ajst-6866	163	29	.	.	PUNCT
ajst-6866	164	1	206	206	NUM
ajst-6866	164	2	figure	figure	NOUN
ajst-6866	164	3	10	10	NUM
ajst-6866	164	4	.	.	PUNCT
ajst-6866	165	1	comparison	comparison	NOUN
ajst-6866	165	2	between	between	ADP
ajst-6866	165	3	various	various	ADJ
ajst-6866	165	4	algorithms	algorithm	NOUN
ajst-6866	165	5	and	and	CCONJ
ajst-6866	165	6	real	real	ADJ
ajst-6866	165	7	values	value	NOUN
ajst-6866	165	8	figure	figure	VERB
ajst-6866	165	9	11	11	NUM
ajst-6866	165	10	.	.	PUNCT
ajst-6866	166	1	comparison	comparison	NOUN
ajst-6866	166	2	of	of	ADP
ajst-6866	166	3	loss	loss	NOUN
ajst-6866	166	4	functions	function	NOUN
ajst-6866	166	5	the	the	DET
ajst-6866	166	6	comparison	comparison	NOUN
ajst-6866	166	7	of	of	ADP
ajst-6866	166	8	the	the	DET
ajst-6866	166	9	combined	combine	VERB
ajst-6866	166	10	model	model	NOUN
ajst-6866	166	11	evaluation	evaluation	NOUN
ajst-6866	166	12	and	and	CCONJ
ajst-6866	166	13	the	the	DET
ajst-6866	166	14	evaluation	evaluation	NOUN
ajst-6866	166	15	of	of	ADP
ajst-6866	166	16	the	the	DET
ajst-6866	166	17	other	other	ADJ
ajst-6866	166	18	two	two	NUM
ajst-6866	166	19	algorithms	algorithm	NOUN
ajst-6866	166	20	is	be	AUX
ajst-6866	166	21	presented	present	VERB
ajst-6866	166	22	in	in	ADP
ajst-6866	166	23	figure	figure	NOUN
ajst-6866	166	24	12	12	NUM
ajst-6866	166	25	.	.	PUNCT
ajst-6866	167	1	it	it	PRON
ajst-6866	167	2	is	be	AUX
ajst-6866	167	3	evident	evident	ADJ
ajst-6866	167	4	from	from	ADP
ajst-6866	167	5	the	the	DET
ajst-6866	167	6	figure	figure	NOUN
ajst-6866	167	7	that	that	SCONJ
ajst-6866	167	8	the	the	DET
ajst-6866	167	9	ga	ga	PROPN
ajst-6866	167	10	-	-	PUNCT
ajst-6866	167	11	bp	bp	PROPN
ajst-6866	167	12	combined	combine	VERB
ajst-6866	167	13	model	model	NOUN
ajst-6866	167	14	has	have	AUX
ajst-6866	167	15	better	well	ADJ
ajst-6866	167	16	prediction	prediction	NOUN
ajst-6866	167	17	results	result	NOUN
ajst-6866	167	18	than	than	ADP
ajst-6866	167	19	the	the	DET
ajst-6866	167	20	other	other	ADJ
ajst-6866	167	21	two	two	NUM
ajst-6866	167	22	models	model	NOUN
ajst-6866	167	23	.	.	PUNCT
ajst-6866	168	1	the	the	DET
ajst-6866	168	2	specific	specific	ADJ
ajst-6866	168	3	values	value	NOUN
ajst-6866	168	4	in	in	ADP
ajst-6866	168	5	table	table	NOUN
ajst-6866	168	6	3	3	NUM
ajst-6866	168	7	indicate	indicate	VERB
ajst-6866	168	8	that	that	SCONJ
ajst-6866	168	9	the	the	DET
ajst-6866	168	10	maximum	maximum	ADJ
ajst-6866	168	11	error	error	NOUN
ajst-6866	168	12	of	of	ADP
ajst-6866	168	13	the	the	DET
ajst-6866	168	14	time	time	NOUN
ajst-6866	168	15	series	series	PROPN
ajst-6866	168	16	prediction	prediction	NOUN
ajst-6866	168	17	is	be	AUX
ajst-6866	168	18	the	the	DET
ajst-6866	168	19	highest	high	ADJ
ajst-6866	168	20	,	,	PUNCT
ajst-6866	168	21	indicating	indicate	VERB
ajst-6866	168	22	a	a	DET
ajst-6866	168	23	higher	high	ADJ
ajst-6866	168	24	probability	probability	NOUN
ajst-6866	168	25	of	of	ADP
ajst-6866	168	26	urban	urban	ADJ
ajst-6866	168	27	rail	rail	NOUN
ajst-6866	168	28	operations	operation	NOUN
ajst-6866	168	29	facing	face	VERB
ajst-6866	168	30	overloading	overloading	NOUN
ajst-6866	168	31	or	or	CCONJ
ajst-6866	168	32	insufficient	insufficient	ADJ
ajst-6866	168	33	capacity	capacity	NOUN
ajst-6866	168	34	on	on	ADP
ajst-6866	168	35	a	a	DET
ajst-6866	168	36	certain	certain	ADJ
ajst-6866	168	37	day	day	NOUN
ajst-6866	168	38	.	.	PUNCT
ajst-6866	169	1	however	however	ADV
ajst-6866	169	2	,	,	PUNCT
ajst-6866	169	3	the	the	DET
ajst-6866	169	4	low	low	ADJ
ajst-6866	169	5	training	training	NOUN
ajst-6866	169	6	efficiency	efficiency	NOUN
ajst-6866	169	7	of	of	ADP
ajst-6866	169	8	the	the	DET
ajst-6866	169	9	traditional	traditional	ADJ
ajst-6866	169	10	neural	neural	ADJ
ajst-6866	169	11	network	network	NOUN
ajst-6866	169	12	model	model	NOUN
ajst-6866	169	13	generally	generally	ADV
ajst-6866	169	14	leads	lead	VERB
ajst-6866	169	15	to	to	ADP
ajst-6866	169	16	lower	low	ADJ
ajst-6866	169	17	accuracy	accuracy	NOUN
ajst-6866	169	18	compared	compare	VERB
ajst-6866	169	19	to	to	ADP
ajst-6866	169	20	the	the	DET
ajst-6866	169	21	time	time	NOUN
ajst-6866	169	22	series	series	PROPN
ajst-6866	169	23	prediction	prediction	PROPN
ajst-6866	169	24	.	.	PUNCT
ajst-6866	170	1	therefore	therefore	ADV
ajst-6866	170	2	,	,	PUNCT
ajst-6866	170	3	the	the	DET
ajst-6866	170	4	improved	improve	VERB
ajst-6866	170	5	ga	ga	PROPN
ajst-6866	170	6	-	-	PUNCT
ajst-6866	170	7	bp	bp	PROPN
ajst-6866	170	8	combination	combination	NOUN
ajst-6866	170	9	model	model	NOUN
ajst-6866	170	10	solves	solve	VERB
ajst-6866	170	11	the	the	DET
ajst-6866	170	12	problem	problem	NOUN
ajst-6866	170	13	of	of	ADP
ajst-6866	170	14	the	the	DET
ajst-6866	170	15	traditional	traditional	ADJ
ajst-6866	170	16	neural	neural	ADJ
ajst-6866	170	17	network	network	NOUN
ajst-6866	170	18	by	by	ADP
ajst-6866	170	19	calculating	calculate	VERB
ajst-6866	170	20	the	the	DET
ajst-6866	170	21	initial	initial	ADJ
ajst-6866	170	22	weight	weight	NOUN
ajst-6866	170	23	and	and	CCONJ
ajst-6866	170	24	threshold	threshold	NOUN
ajst-6866	170	25	instead	instead	ADV
ajst-6866	170	26	of	of	ADP
ajst-6866	170	27	generating	generate	VERB
ajst-6866	170	28	them	they	PRON
ajst-6866	170	29	randomly	randomly	ADV
ajst-6866	170	30	,	,	PUNCT
ajst-6866	170	31	leading	lead	VERB
ajst-6866	170	32	to	to	ADP
ajst-6866	170	33	faster	fast	ADJ
ajst-6866	170	34	convergence	convergence	NOUN
ajst-6866	170	35	of	of	ADP
ajst-6866	170	36	the	the	DET
ajst-6866	170	37	network	network	NOUN
ajst-6866	170	38	.	.	PUNCT
ajst-6866	171	1	figure	figure	NOUN
ajst-6866	171	2	12	12	NUM
ajst-6866	171	3	.	.	PUNCT
ajst-6866	172	1	comparison	comparison	NOUN
ajst-6866	172	2	of	of	ADP
ajst-6866	172	3	loss	loss	NOUN
ajst-6866	172	4	functions	function	NOUN
ajst-6866	172	5	207	207	NUM
ajst-6866	172	6	table	table	NOUN
ajst-6866	172	7	3	3	NUM
ajst-6866	172	8	.	.	PUNCT
ajst-6866	172	9	comparison	comparison	NOUN
ajst-6866	172	10	of	of	ADP
ajst-6866	172	11	different	different	ADJ
ajst-6866	172	12	evaluation	evaluation	NOUN
ajst-6866	172	13	indexes	index	NOUN
ajst-6866	172	14	prediction	prediction	NOUN
ajst-6866	172	15	model	model	NOUN
ajst-6866	172	16	mse	mse	PROPN
ajst-6866	172	17	mae	mae	PROPN
ajst-6866	172	18	max	max	PROPN
ajst-6866	172	19	error	error	NOUN
ajst-6866	172	20	mape	mape	NOUN
ajst-6866	172	21	r2	r2	PROPN
ajst-6866	172	22	time	time	PROPN
ajst-6866	172	23	series	series	PROPN
ajst-6866	172	24	model	model	PROPN
ajst-6866	172	25	0.8545	0.8545	NUM
ajst-6866	172	26	0.6492	0.6492	NUM
ajst-6866	172	27	3.3531	3.3531	NUM
ajst-6866	172	28	2.4	2.4	NUM
ajst-6866	172	29	%	%	NOUN
ajst-6866	172	30	0.9158	0.9158	NUM
ajst-6866	172	31	bp	bp	PROPN
ajst-6866	172	32	neural	neural	ADJ
ajst-6866	172	33	network	network	NOUN
ajst-6866	172	34	model	model	NOUN
ajst-6866	172	35	1.1961	1.1961	NUM
ajst-6866	172	36	0.8771	0.8771	NUM
ajst-6866	172	37	2.8097	2.8097	NUM
ajst-6866	172	38	2.9	2.9	NUM
ajst-6866	172	39	%	%	NOUN
ajst-6866	172	40	0.8901	0.8901	NUM
ajst-6866	172	41	ga	ga	PROPN
ajst-6866	172	42	-	-	PUNCT
ajst-6866	172	43	bp	bp	PROPN
ajst-6866	172	44	neural	neural	ADJ
ajst-6866	172	45	network	network	NOUN
ajst-6866	172	46	model	model	NOUN
ajst-6866	172	47	0.2427	0.2427	NUM
ajst-6866	172	48	0.4147	0.4147	NUM
ajst-6866	172	49	1.4416	1.4416	NUM
ajst-6866	172	50	1.7	1.7	NUM
ajst-6866	172	51	%	%	NOUN
ajst-6866	172	52	0.9749	0.9749	NUM
ajst-6866	172	53	additionally	additionally	ADV
ajst-6866	172	54	,	,	PUNCT
ajst-6866	172	55	it	it	PRON
ajst-6866	172	56	is	be	AUX
ajst-6866	172	57	worth	worth	ADJ
ajst-6866	172	58	noting	note	VERB
ajst-6866	172	59	that	that	SCONJ
ajst-6866	172	60	the	the	DET
ajst-6866	172	61	ga	ga	PROPN
ajst-6866	172	62	-	-	PUNCT
ajst-6866	172	63	bp	bp	PROPN
ajst-6866	172	64	neural	neural	ADJ
ajst-6866	172	65	network	network	NOUN
ajst-6866	172	66	not	not	PART
ajst-6866	172	67	only	only	ADV
ajst-6866	172	68	has	have	VERB
ajst-6866	172	69	the	the	DET
ajst-6866	172	70	smallest	small	ADJ
ajst-6866	172	71	overall	overall	ADJ
ajst-6866	172	72	error	error	NOUN
ajst-6866	172	73	,	,	PUNCT
ajst-6866	172	74	but	but	CCONJ
ajst-6866	172	75	also	also	ADV
ajst-6866	172	76	has	have	VERB
ajst-6866	172	77	a	a	DET
ajst-6866	172	78	daily	daily	ADJ
ajst-6866	172	79	mape	mape	NOUN
ajst-6866	172	80	error	error	NOUN
ajst-6866	172	81	of	of	ADP
ajst-6866	172	82	less	less	ADJ
ajst-6866	172	83	than	than	ADP
ajst-6866	172	84	0.05	0.05	NUM
ajst-6866	172	85	,	,	PUNCT
ajst-6866	172	86	which	which	PRON
ajst-6866	172	87	is	be	AUX
ajst-6866	172	88	consistently	consistently	ADV
ajst-6866	172	89	low	low	ADJ
ajst-6866	172	90	and	and	CCONJ
ajst-6866	172	91	stable	stable	ADJ
ajst-6866	172	92	over	over	ADP
ajst-6866	172	93	time	time	NOUN
ajst-6866	172	94	,	,	PUNCT
ajst-6866	172	95	as	as	SCONJ
ajst-6866	172	96	depicted	depict	VERB
ajst-6866	172	97	in	in	ADP
ajst-6866	172	98	figure	figure	NOUN
ajst-6866	172	99	13	13	NUM
ajst-6866	172	100	.	.	PUNCT
ajst-6866	173	1	this	this	DET
ajst-6866	173	2	stability	stability	NOUN
ajst-6866	173	3	can	can	AUX
ajst-6866	173	4	prevent	prevent	VERB
ajst-6866	173	5	significant	significant	ADJ
ajst-6866	173	6	deviations	deviation	NOUN
ajst-6866	173	7	between	between	ADP
ajst-6866	173	8	the	the	DET
ajst-6866	173	9	predicted	predict	VERB
ajst-6866	173	10	and	and	CCONJ
ajst-6866	173	11	actual	actual	ADJ
ajst-6866	173	12	passenger	passenger	NOUN
ajst-6866	173	13	flow	flow	NOUN
ajst-6866	173	14	values	value	NOUN
ajst-6866	173	15	effectively	effectively	ADV
ajst-6866	173	16	.	.	PUNCT
ajst-6866	174	1	otherwise	otherwise	ADV
ajst-6866	174	2	,	,	PUNCT
ajst-6866	174	3	it	it	PRON
ajst-6866	174	4	could	could	AUX
ajst-6866	174	5	result	result	VERB
ajst-6866	174	6	in	in	ADP
ajst-6866	174	7	capacity	capacity	NOUN
ajst-6866	174	8	shortages	shortage	NOUN
ajst-6866	174	9	or	or	CCONJ
ajst-6866	174	10	overloading	overload	VERB
ajst-6866	174	11	issues	issue	NOUN
ajst-6866	174	12	.	.	PUNCT
ajst-6866	175	1	figure	figure	VERB
ajst-6866	175	2	13	13	NUM
ajst-6866	175	3	.	.	PUNCT
ajst-6866	176	1	daily	daily	ADJ
ajst-6866	176	2	mape	mape	NOUN
ajst-6866	176	3	error	error	NOUN
ajst-6866	176	4	comparison	comparison	NOUN
ajst-6866	176	5	5	5	NUM
ajst-6866	176	6	.	.	PUNCT
ajst-6866	177	1	conclusion	conclusion	VERB
ajst-6866	177	2	short	short	ADJ
ajst-6866	177	3	-	-	PUNCT
ajst-6866	177	4	term	term	NOUN
ajst-6866	177	5	passenger	passenger	NOUN
ajst-6866	177	6	flow	flow	NOUN
ajst-6866	177	7	forecasting	forecasting	NOUN
ajst-6866	177	8	is	be	AUX
ajst-6866	177	9	critical	critical	ADJ
ajst-6866	177	10	for	for	ADP
ajst-6866	177	11	the	the	DET
ajst-6866	177	12	operation	operation	NOUN
ajst-6866	177	13	and	and	CCONJ
ajst-6866	177	14	management	management	NOUN
ajst-6866	177	15	of	of	ADP
ajst-6866	177	16	urban	urban	ADJ
ajst-6866	177	17	rail	rail	NOUN
ajst-6866	177	18	transit	transit	NOUN
ajst-6866	177	19	.	.	PUNCT
ajst-6866	178	1	however	however	ADV
ajst-6866	178	2	,	,	PUNCT
ajst-6866	178	3	passenger	passenger	NOUN
ajst-6866	178	4	flow	flow	NOUN
ajst-6866	178	5	in	in	ADP
ajst-6866	178	6	urban	urban	ADJ
ajst-6866	178	7	rail	rail	NOUN
ajst-6866	178	8	transit	transit	NOUN
ajst-6866	178	9	stations	station	NOUN
ajst-6866	178	10	exhibits	exhibit	VERB
ajst-6866	178	11	remarkable	remarkable	ADJ
ajst-6866	178	12	characteristics	characteristic	NOUN
ajst-6866	178	13	of	of	ADP
ajst-6866	178	14	nonlinearity	nonlinearity	NOUN
ajst-6866	178	15	,	,	PUNCT
ajst-6866	178	16	complexity	complexity	NOUN
ajst-6866	178	17	,	,	PUNCT
ajst-6866	178	18	and	and	CCONJ
ajst-6866	178	19	periodicity	periodicity	NOUN
ajst-6866	178	20	.	.	PUNCT
ajst-6866	179	1	therefore	therefore	ADV
ajst-6866	179	2	,	,	PUNCT
ajst-6866	179	3	a	a	DET
ajst-6866	179	4	single	single	ADJ
ajst-6866	179	5	-	-	PUNCT
ajst-6866	179	6	model	model	NOUN
ajst-6866	179	7	forecasting	forecasting	NOUN
ajst-6866	179	8	method	method	NOUN
ajst-6866	179	9	can	can	AUX
ajst-6866	179	10	not	not	PART
ajst-6866	179	11	capture	capture	VERB
ajst-6866	179	12	the	the	DET
ajst-6866	179	13	changing	change	VERB
ajst-6866	179	14	patterns	pattern	NOUN
ajst-6866	179	15	of	of	ADP
ajst-6866	179	16	passenger	passenger	NOUN
ajst-6866	179	17	flow	flow	NOUN
ajst-6866	179	18	fully	fully	ADV
ajst-6866	179	19	and	and	CCONJ
ajst-6866	179	20	is	be	AUX
ajst-6866	179	21	not	not	PART
ajst-6866	179	22	suitable	suitable	ADJ
ajst-6866	179	23	for	for	ADP
ajst-6866	179	24	daily	daily	ADJ
ajst-6866	179	25	passenger	passenger	NOUN
ajst-6866	179	26	flow	flow	NOUN
ajst-6866	179	27	forecasting	forecasting	NOUN
ajst-6866	179	28	[	[	X
ajst-6866	179	29	18	18	NUM
ajst-6866	179	30	]	]	PUNCT
ajst-6866	179	31	.	.	PUNCT
ajst-6866	180	1	to	to	PART
ajst-6866	180	2	address	address	VERB
ajst-6866	180	3	the	the	DET
ajst-6866	180	4	issue	issue	NOUN
ajst-6866	180	5	of	of	ADP
ajst-6866	180	6	insufficient	insufficient	ADJ
ajst-6866	180	7	accuracy	accuracy	NOUN
ajst-6866	180	8	in	in	ADP
ajst-6866	180	9	short	short	ADJ
ajst-6866	180	10	-	-	PUNCT
ajst-6866	180	11	term	term	NOUN
ajst-6866	180	12	passenger	passenger	NOUN
ajst-6866	180	13	flow	flow	NOUN
ajst-6866	180	14	forecasting	forecasting	NOUN
ajst-6866	180	15	,	,	PUNCT
ajst-6866	180	16	this	this	DET
ajst-6866	180	17	study	study	NOUN
ajst-6866	180	18	proposes	propose	VERB
ajst-6866	180	19	a	a	DET
ajst-6866	180	20	combined	combined	ADJ
ajst-6866	180	21	model	model	NOUN
ajst-6866	180	22	that	that	PRON
ajst-6866	180	23	utilizes	utilize	VERB
ajst-6866	180	24	a	a	DET
ajst-6866	180	25	ga	ga	PROPN
ajst-6866	180	26	-	-	PUNCT
ajst-6866	180	27	bp	bp	PROPN
ajst-6866	180	28	neural	neural	ADJ
ajst-6866	180	29	network	network	NOUN
ajst-6866	180	30	along	along	ADP
ajst-6866	180	31	with	with	ADP
ajst-6866	180	32	objective	objective	ADJ
ajst-6866	180	33	factors	factor	NOUN
ajst-6866	180	34	like	like	ADP
ajst-6866	180	35	weather	weather	NOUN
ajst-6866	180	36	and	and	CCONJ
ajst-6866	180	37	holidays	holiday	NOUN
ajst-6866	180	38	.	.	PUNCT
ajst-6866	181	1	the	the	DET
ajst-6866	181	2	model	model	NOUN
ajst-6866	181	3	obtains	obtain	VERB
ajst-6866	181	4	the	the	DET
ajst-6866	181	5	initial	initial	ADJ
ajst-6866	181	6	optimal	optimal	ADJ
ajst-6866	181	7	value	value	NOUN
ajst-6866	181	8	of	of	ADP
ajst-6866	181	9	weight	weight	NOUN
ajst-6866	181	10	by	by	ADP
ajst-6866	181	11	applying	apply	VERB
ajst-6866	181	12	genetic	genetic	ADJ
ajst-6866	181	13	algorithm	algorithm	NOUN
ajst-6866	181	14	,	,	PUNCT
ajst-6866	181	15	thereby	thereby	ADV
ajst-6866	181	16	improving	improve	VERB
ajst-6866	181	17	the	the	DET
ajst-6866	181	18	neural	neural	ADJ
ajst-6866	181	19	network	network	NOUN
ajst-6866	181	20	's	's	PART
ajst-6866	181	21	ability	ability	NOUN
ajst-6866	181	22	to	to	PART
ajst-6866	181	23	learn	learn	VERB
ajst-6866	181	24	and	and	CCONJ
ajst-6866	181	25	iterate	iterate	VERB
ajst-6866	181	26	.	.	PUNCT
ajst-6866	182	1	the	the	DET
ajst-6866	182	2	findings	finding	NOUN
ajst-6866	182	3	demonstrate	demonstrate	VERB
ajst-6866	182	4	that	that	SCONJ
ajst-6866	182	5	compared	compare	VERB
ajst-6866	182	6	to	to	ADP
ajst-6866	182	7	the	the	DET
ajst-6866	182	8	single	single	ADJ
ajst-6866	182	9	time	time	NOUN
ajst-6866	182	10	series	series	PROPN
ajst-6866	182	11	prediction	prediction	NOUN
ajst-6866	182	12	model	model	NOUN
ajst-6866	182	13	and	and	CCONJ
ajst-6866	182	14	traditional	traditional	ADJ
ajst-6866	182	15	bp	bp	PROPN
ajst-6866	182	16	neural	neural	PROPN
ajst-6866	182	17	network	network	PROPN
ajst-6866	182	18	model	model	PROPN
ajst-6866	182	19	,	,	PUNCT
ajst-6866	182	20	the	the	DET
ajst-6866	182	21	ga	ga	PROPN
ajst-6866	182	22	-	-	PUNCT
ajst-6866	182	23	bp	bp	PROPN
ajst-6866	182	24	combined	combine	VERB
ajst-6866	182	25	model	model	NOUN
ajst-6866	182	26	enhances	enhance	VERB
ajst-6866	182	27	passenger	passenger	NOUN
ajst-6866	182	28	flow	flow	NOUN
ajst-6866	182	29	prediction	prediction	NOUN
ajst-6866	182	30	accuracy	accuracy	NOUN
ajst-6866	182	31	by	by	ADP
ajst-6866	182	32	6.06	6.06	NUM
ajst-6866	182	33	%	%	NOUN
ajst-6866	182	34	and	and	CCONJ
ajst-6866	182	35	8.69	8.69	NUM
ajst-6866	182	36	%	%	NOUN
ajst-6866	182	37	respectively	respectively	ADV
ajst-6866	182	38	.	.	PUNCT
ajst-6866	183	1	the	the	DET
ajst-6866	183	2	improvement	improvement	NOUN
ajst-6866	183	3	reduces	reduce	VERB
ajst-6866	183	4	prediction	prediction	NOUN
ajst-6866	183	5	error	error	NOUN
ajst-6866	183	6	and	and	CCONJ
ajst-6866	183	7	captures	capture	VERB
ajst-6866	183	8	the	the	DET
ajst-6866	183	9	changing	change	VERB
ajst-6866	183	10	patterns	pattern	NOUN
ajst-6866	183	11	of	of	ADP
ajst-6866	183	12	passenger	passenger	NOUN
ajst-6866	183	13	flow	flow	NOUN
ajst-6866	183	14	accurately	accurately	ADV
ajst-6866	183	15	.	.	PUNCT
ajst-6866	184	1	consequently	consequently	ADV
ajst-6866	184	2	,	,	PUNCT
ajst-6866	184	3	the	the	DET
ajst-6866	184	4	proposed	propose	VERB
ajst-6866	184	5	model	model	NOUN
ajst-6866	184	6	benefits	benefit	VERB
ajst-6866	184	7	the	the	DET
ajst-6866	184	8	subway	subway	NOUN
ajst-6866	184	9	operation	operation	NOUN
ajst-6866	184	10	management	management	PROPN
ajst-6866	184	11	department	department	PROPN
ajst-6866	184	12	in	in	ADP
ajst-6866	184	13	devising	devise	VERB
ajst-6866	184	14	better	well	ADJ
ajst-6866	184	15	train	train	NOUN
ajst-6866	184	16	operation	operation	NOUN
ajst-6866	184	17	plans	plan	NOUN
ajst-6866	184	18	,	,	PUNCT
ajst-6866	184	19	which	which	PRON
ajst-6866	184	20	prevent	prevent	VERB
ajst-6866	184	21	issues	issue	NOUN
ajst-6866	184	22	of	of	ADP
ajst-6866	184	23	insufficient	insufficient	ADJ
ajst-6866	184	24	and	and	CCONJ
ajst-6866	184	25	overloaded	overload	VERB
ajst-6866	184	26	transport	transport	NOUN
ajst-6866	184	27	capacity	capacity	NOUN
ajst-6866	184	28	.	.	PUNCT
ajst-6866	185	1	this	this	PRON
ajst-6866	185	2	not	not	PART
ajst-6866	185	3	only	only	ADV
ajst-6866	185	4	ensures	ensure	VERB
ajst-6866	185	5	passenger	passenger	NOUN
ajst-6866	185	6	comfort	comfort	NOUN
ajst-6866	185	7	but	but	CCONJ
ajst-6866	185	8	also	also	ADV
ajst-6866	185	9	aligns	align	VERB
ajst-6866	185	10	with	with	ADP
ajst-6866	185	11	the	the	DET
ajst-6866	185	12	call	call	NOUN
ajst-6866	185	13	for	for	ADP
ajst-6866	185	14	national	national	ADJ
ajst-6866	185	15	green	green	ADJ
ajst-6866	185	16	and	and	CCONJ
ajst-6866	185	17	low	low	ADJ
ajst-6866	185	18	-	-	PUNCT
ajst-6866	185	19	carbon	carbon	NOUN
ajst-6866	185	20	development	development	NOUN
ajst-6866	185	21	by	by	ADP
ajst-6866	185	22	harnessing	harness	VERB
ajst-6866	185	23	the	the	DET
ajst-6866	185	24	potential	potential	NOUN
ajst-6866	185	25	of	of	ADP
ajst-6866	185	26	energy	energy	NOUN
ajst-6866	185	27	savings	saving	NOUN
ajst-6866	185	28	and	and	CCONJ
ajst-6866	185	29	emission	emission	NOUN
ajst-6866	185	30	reduction	reduction	NOUN
ajst-6866	185	31	,	,	PUNCT
ajst-6866	185	32	thereby	thereby	ADV
ajst-6866	185	33	enhancing	enhance	VERB
ajst-6866	185	34	energy	energy	NOUN
ajst-6866	185	35	efficiency	efficiency	NOUN
ajst-6866	185	36	.	.	PUNCT
ajst-6866	186	1	references	reference	NOUN
ajst-6866	186	2	[	[	X
ajst-6866	186	3	1	1	NUM
ajst-6866	186	4	]	]	X
ajst-6866	186	5	zhang	zhang	PROPN
ajst-6866	186	6	guoyun	guoyun	PROPN
ajst-6866	186	7	,	,	PUNCT
ajst-6866	186	8	jin	jin	PROPN
ajst-6866	186	9	hui	hui	PROPN
ajst-6866	186	10	.	.	PUNCT
ajst-6866	187	1	research	research	NOUN
ajst-6866	187	2	on	on	ADP
ajst-6866	187	3	the	the	DET
ajst-6866	187	4	prediction	prediction	NOUN
ajst-6866	187	5	of	of	ADP
ajst-6866	187	6	short	short	ADJ
ajst-6866	187	7	-	-	PUNCT
ajst-6866	187	8	term	term	NOUN
ajst-6866	187	9	passenger	passenger	NOUN
ajst-6866	187	10	flow	flow	NOUN
ajst-6866	187	11	of	of	ADP
ajst-6866	187	12	urban	urban	ADJ
ajst-6866	187	13	rail	rail	NOUN
ajst-6866	187	14	transit	transit	NOUN
ajst-6866	187	15	based	base	VERB
ajst-6866	187	16	on	on	ADP
ajst-6866	187	17	improved	improved	ADJ
ajst-6866	187	18	arima	arima	PROPN
ajst-6866	187	19	model[j	model[j	PROPN
ajst-6866	187	20	]	]	PUNCT
ajst-6866	187	21	.	.	PUNCT
ajst-6866	188	1	computer	computer	NOUN
ajst-6866	188	2	applications	application	NOUN
ajst-6866	188	3	and	and	CCONJ
ajst-6866	188	4	software	software	NOUN
ajst-6866	188	5	,	,	PUNCT
ajst-6866	188	6	2022,39(01	2022,39(01	NUM
ajst-6866	188	7	):	):	PUNCT
ajst-6866	188	8	339	339	NUM
ajst-6866	188	9	-	-	SYM
ajst-6866	188	10	344	344	NUM
ajst-6866	188	11	.	.	PUNCT
ajst-6866	189	1	[	[	X
ajst-6866	189	2	2	2	X
ajst-6866	189	3	]	]	X
ajst-6866	189	4	shi	shi	PROPN
ajst-6866	189	5	xuerong	xuerong	PROPN
ajst-6866	189	6	,	,	PUNCT
ajst-6866	189	7	wang	wang	PROPN
ajst-6866	189	8	chonghui	chonghui	PROPN
ajst-6866	189	9	,	,	PUNCT
ajst-6866	189	10	liu	liu	PROPN
ajst-6866	189	11	dongjie	dongjie	PROPN
ajst-6866	189	12	,	,	PUNCT
ajst-6866	189	13	et	et	PROPN
ajst-6866	189	14	al	al	PROPN
ajst-6866	189	15	.	.	PROPN
ajst-6866	189	16	prediction	prediction	NOUN
ajst-6866	189	17	and	and	CCONJ
ajst-6866	189	18	visualization	visualization	NOUN
ajst-6866	189	19	of	of	ADP
ajst-6866	189	20	rail	rail	NOUN
ajst-6866	189	21	transit	transit	NOUN
ajst-6866	189	22	passenger	passenger	NOUN
ajst-6866	189	23	flow	flow	NOUN
ajst-6866	189	24	based	base	VERB
ajst-6866	189	25	on	on	ADP
ajst-6866	189	26	deep	deep	ADJ
ajst-6866	189	27	neural	neural	ADJ
ajst-6866	189	28	network[j	network[j	NOUN
ajst-6866	189	29	]	]	PUNCT
ajst-6866	189	30	.	.	PUNCT
ajst-6866	190	1	electronic	electronic	ADJ
ajst-6866	190	2	technology	technology	PROPN
ajst-6866	190	3	&	&	CCONJ
ajst-6866	190	4	software	software	PROPN
ajst-6866	190	5	engineering	engineering	NOUN
ajst-6866	190	6	,	,	PUNCT
ajst-6866	190	7	2020(19)：182	2020(19)：182	NUM
ajst-6866	190	8	-	-	SYM
ajst-6866	190	9	185	185	NUM
ajst-6866	190	10	.	.	PUNCT
ajst-6866	191	1	[	[	X
ajst-6866	191	2	3	3	X
ajst-6866	191	3	]	]	X
ajst-6866	191	4	lv	lv	PROPN
ajst-6866	191	5	qiuxia	qiuxia	PROPN
ajst-6866	191	6	,	,	PUNCT
ajst-6866	191	7	zhong	zhong	PROPN
ajst-6866	191	8	xiaoqing	xiaoqing	PROPN
ajst-6866	191	9	,	,	PUNCT
ajst-6866	191	10	ren	ren	PROPN
ajst-6866	191	11	yasi	yasi	PROPN
ajst-6866	191	12	.	.	PUNCT
ajst-6866	192	1	a	a	DET
ajst-6866	192	2	short	short	ADJ
ajst-6866	192	3	-	-	PUNCT
ajst-6866	192	4	term	term	NOUN
ajst-6866	192	5	passenger	passenger	NOUN
ajst-6866	192	6	flow	flow	NOUN
ajst-6866	192	7	prediction	prediction	NOUN
ajst-6866	192	8	method	method	NOUN
ajst-6866	192	9	for	for	ADP
ajst-6866	192	10	guangzhou	guangzhou	PROPN
ajst-6866	192	11	-	-	PUNCT
ajst-6866	192	12	zhuhai	zhuhai	PROPN
ajst-6866	192	13	intercity	intercity	PROPN
ajst-6866	192	14	railway	railway	NOUN
ajst-6866	192	15	based	base	VERB
ajst-6866	192	16	on	on	ADP
ajst-6866	192	17	bi	bi	ADJ
ajst-6866	192	18	-	-	ADJ
ajst-6866	192	19	lstm	lstm	ADJ
ajst-6866	192	20	network[j	network[j	PROPN
ajst-6866	192	21	]	]	PUNCT
ajst-6866	192	22	.	.	PUNCT
ajst-6866	193	1	journal	journal	PROPN
ajst-6866	193	2	of	of	ADP
ajst-6866	193	3	wuyi	wuyi	PROPN
ajst-6866	193	4	university(natural	university(natural	ADJ
ajst-6866	193	5	science	science	NOUN
ajst-6866	193	6	edition	edition	NOUN
ajst-6866	193	7	)	)	PUNCT
ajst-6866	193	8	,	,	PUNCT
ajst-6866	193	9	2022,36(01)：50	2022,36(01)：50	PROPN
ajst-6866	193	10	-	-	SYM
ajst-6866	193	11	56	56	NUM
ajst-6866	193	12	.	.	PUNCT
ajst-6866	194	1	[	[	X
ajst-6866	194	2	4	4	NUM
ajst-6866	194	3	]	]	X
ajst-6866	194	4	zhao	zhao	PROPN
ajst-6866	194	5	mingwei	mingwei	PROPN
ajst-6866	194	6	,	,	PUNCT
ajst-6866	194	7	zhang	zhang	PROPN
ajst-6866	194	8	wensheng	wensheng	PROPN
ajst-6866	194	9	.	.	PUNCT
ajst-6866	195	1	short	short	ADJ
ajst-6866	195	2	-	-	PUNCT
ajst-6866	195	3	term	term	NOUN
ajst-6866	195	4	passenger	passenger	NOUN
ajst-6866	195	5	flow	flow	NOUN
ajst-6866	195	6	prediction	prediction	NOUN
ajst-6866	195	7	of	of	ADP
ajst-6866	195	8	urban	urban	ADJ
ajst-6866	195	9	rail	rail	NOUN
ajst-6866	195	10	transit	transit	NOUN
ajst-6866	195	11	based	base	VERB
ajst-6866	195	12	on	on	ADP
ajst-6866	195	13	ipso	ipso	NOUN
ajst-6866	195	14	-	-	PUNCT
ajst-6866	195	15	lstm	lstm	NOUN
ajst-6866	195	16	combined	combine	VERB
ajst-6866	195	17	model[j	model[j	PROPN
ajst-6866	195	18	]	]	PUNCT
ajst-6866	195	19	.	.	PUNCT
ajst-6866	196	1	railway	railway	NOUN
ajst-6866	196	2	transport	transport	NOUN
ajst-6866	196	3	and	and	CCONJ
ajst-6866	196	4	economy	economy	NOUN
ajst-6866	196	5	,	,	PUNCT
ajst-6866	196	6	2022,44(02)：123	2022,44(02)：123	NUM
ajst-6866	196	7	-	-	SYM
ajst-6866	196	8	130	130	NUM
ajst-6866	196	9	.	.	PUNCT
ajst-6866	197	1	[	[	X
ajst-6866	197	2	5	5	X
ajst-6866	197	3	]	]	X
ajst-6866	197	4	halyal	halyal	NOUN
ajst-6866	197	5	s	s	PROPN
ajst-6866	197	6	,	,	PUNCT
ajst-6866	197	7	mulangi	mulangi	NOUN
ajst-6866	197	8	r	r	NOUN
ajst-6866	197	9	h	h	NOUN
ajst-6866	197	10	,	,	PUNCT
ajst-6866	197	11	harsha	harsha	PROPN
ajst-6866	197	12	m	m	PROPN
ajst-6866	197	13	m.	m.	PROPN
ajst-6866	197	14	forecasting	forecast	VERB
ajst-6866	197	15	public	public	ADJ
ajst-6866	197	16	transit	transit	NOUN
ajst-6866	197	17	passenger	passenger	NOUN
ajst-6866	197	18	demand	demand	NOUN
ajst-6866	197	19	:	:	PUNCT
ajst-6866	197	20	with	with	ADP
ajst-6866	197	21	neural	neural	ADJ
ajst-6866	197	22	networks	network	NOUN
ajst-6866	197	23	using	use	VERB
ajst-6866	197	24	apc	apc	PROPN
ajst-6866	197	25	data[j	data[j	PROPN
ajst-6866	197	26	]	]	PUNCT
ajst-6866	197	27	.	.	PUNCT
ajst-6866	198	1	case	case	NOUN
ajst-6866	198	2	studies	study	NOUN
ajst-6866	198	3	on	on	ADP
ajst-6866	198	4	transport	transport	NOUN
ajst-6866	198	5	policy	policy	NOUN
ajst-6866	198	6	,	,	PUNCT
ajst-6866	198	7	2022,10(2	2022,10(2	PROPN
ajst-6866	198	8	)	)	PUNCT
ajst-6866	198	9	.	.	PUNCT
ajst-6866	199	1	[	[	X
ajst-6866	199	2	6	6	NUM
ajst-6866	199	3	]	]	X
ajst-6866	199	4	jianyuan	jianyuan	PROPN
ajst-6866	199	5	g	g	PROPN
ajst-6866	199	6	,	,	PUNCT
ajst-6866	199	7	zhen	zhen	PROPN
ajst-6866	199	8	x	x	PROPN
ajst-6866	199	9	,	,	PUNCT
ajst-6866	199	10	yong	yong	PROPN
ajst-6866	199	11	q	q	PROPN
ajst-6866	199	12	,	,	PUNCT
ajst-6866	199	13	et	et	PROPN
ajst-6866	199	14	al	al	PROPN
ajst-6866	199	15	.	.	PUNCT
ajst-6866	199	16	short	short	ADJ
ajst-6866	199	17	-	-	PUNCT
ajst-6866	199	18	term	term	NOUN
ajst-6866	199	19	abnormal	abnormal	ADJ
ajst-6866	199	20	passenger	passenger	NOUN
ajst-6866	199	21	flow	flow	NOUN
ajst-6866	199	22	prediction	prediction	NOUN
ajst-6866	199	23	based	base	VERB
ajst-6866	199	24	on	on	ADP
ajst-6866	199	25	the	the	DET
ajst-6866	199	26	fusion	fusion	NOUN
ajst-6866	199	27	of	of	ADP
ajst-6866	199	28	svr	svr	PROPN
ajst-6866	199	29	and	and	CCONJ
ajst-6866	199	30	lstm.[j	lstm.[j	PROPN
ajst-6866	199	31	]	]	PUNCT
ajst-6866	199	32	.	.	PUNCT
ajst-6866	200	1	ieee	ieee	NOUN
ajst-6866	200	2	access	access	NOUN
ajst-6866	200	3	,	,	PUNCT
ajst-6866	200	4	2019,7	2019,7	NUM
ajst-6866	200	5	.	.	PUNCT
ajst-6866	201	1	[	[	X
ajst-6866	201	2	7	7	X
ajst-6866	201	3	]	]	X
ajst-6866	201	4	fan	fan	PROPN
ajst-6866	201	5	xueqiang	xueqiang	PROPN
ajst-6866	201	6	.	.	PUNCT
ajst-6866	202	1	research	research	NOUN
ajst-6866	202	2	on	on	ADP
ajst-6866	202	3	forecast	forecast	NOUN
ajst-6866	202	4	of	of	ADP
ajst-6866	202	5	short	short	ADJ
ajst-6866	202	6	-	-	PUNCT
ajst-6866	202	7	term	term	NOUN
ajst-6866	202	8	passenger	passenger	NOUN
ajst-6866	202	9	flow	flow	NOUN
ajst-6866	202	10	of	of	ADP
ajst-6866	202	11	urban	urban	ADJ
ajst-6866	202	12	rail	rail	NOUN
ajst-6866	202	13	transit[d	transit[d	NOUN
ajst-6866	202	14	]	]	PUNCT
ajst-6866	202	15	.	.	PUNCT
ajst-6866	203	1	lanzhou：lanzhou	lanzhou：lanzhou	PROPN
ajst-6866	203	2	jiaotong	jiaotong	ADJ
ajst-6866	203	3	university	university	NOUN
ajst-6866	203	4	,	,	PUNCT
ajst-6866	203	5	2015	2015	NUM
ajst-6866	203	6	.	.	PUNCT
ajst-6866	204	1	208	208	NUM
ajst-6866	205	1	[	[	SYM
ajst-6866	205	2	8	8	NUM
ajst-6866	205	3	]	]	X
ajst-6866	205	4	liu	liu	PROPN
ajst-6866	205	5	chengxi	chengxi	PROPN
ajst-6866	205	6	,	,	PUNCT
ajst-6866	205	7	ni	ni	PROPN
ajst-6866	205	8	shaoquan	shaoquan	PROPN
ajst-6866	205	9	.	.	PUNCT
ajst-6866	206	1	short	short	ADJ
ajst-6866	206	2	-	-	PUNCT
ajst-6866	206	3	time	time	NOUN
ajst-6866	206	4	passnger	passnger	NOUN
ajst-6866	206	5	flow	flow	NOUN
ajst-6866	206	6	prediction	prediction	NOUN
ajst-6866	206	7	of	of	ADP
ajst-6866	206	8	high	high	ADJ
ajst-6866	206	9	-	-	PUNCT
ajst-6866	206	10	speed	speed	NOUN
ajst-6866	206	11	railway	railway	NOUN
ajst-6866	206	12	based	base	VERB
ajst-6866	206	13	on	on	ADP
ajst-6866	206	14	bp	bp	PROPN
ajst-6866	206	15	-	-	PUNCT
ajst-6866	206	16	gru	gru	NOUN
ajst-6866	206	17	combined	combine	VERB
ajst-6866	206	18	model[j	model[j	PROPN
ajst-6866	206	19	]	]	PUNCT
ajst-6866	206	20	.	.	PUNCT
ajst-6866	207	1	china	china	PROPN
ajst-6866	207	2	transportation	transportation	PROPN
ajst-6866	207	3	review	review	PROPN
ajst-6866	207	4	,	,	PUNCT
ajst-6866	207	5	2022：1	2022：1	NUM
ajst-6866	207	6	-	-	SYM
ajst-6866	207	7	7	7	NUM
ajst-6866	207	8	.	.	PUNCT
ajst-6866	208	1	[	[	X
ajst-6866	208	2	9	9	NUM
ajst-6866	208	3	]	]	PUNCT
ajst-6866	208	4	zong	zong	PROPN
ajst-6866	208	5	junzhen	junzhen	PROPN
ajst-6866	208	6	.	.	PUNCT
ajst-6866	209	1	research	research	NOUN
ajst-6866	209	2	on	on	ADP
ajst-6866	209	3	passenger	passenger	NOUN
ajst-6866	209	4	flow	flow	NOUN
ajst-6866	209	5	forecast	forecast	NOUN
ajst-6866	209	6	of	of	ADP
ajst-6866	209	7	urban	urban	ADJ
ajst-6866	209	8	rail	rail	NOUN
ajst-6866	209	9	transit	transit	NOUN
ajst-6866	209	10	based	base	VERB
ajst-6866	209	11	on	on	ADP
ajst-6866	209	12	bp	bp	PROPN
ajst-6866	209	13	neural	neural	ADJ
ajst-6866	209	14	network	network	NOUN
ajst-6866	209	15	[	[	X
ajst-6866	209	16	j	j	X
ajst-6866	209	17	]	]	X
ajst-6866	209	18	.	.	PUNCT
ajst-6866	210	1	western	western	PROPN
ajst-6866	210	2	china	china	PROPN
ajst-6866	210	3	communications	communications	PROPN
ajst-6866	210	4	science	science	PROPN
ajst-6866	210	5	&	&	CCONJ
ajst-6866	210	6	technology	technology	NOUN
ajst-6866	210	7	,	,	PUNCT
ajst-6866	210	8	2021	2021	NUM
ajst-6866	210	9	,	,	PUNCT
ajst-6866	210	10	(	(	PUNCT
ajst-6866	210	11	09	09	NUM
ajst-6866	210	12	):	):	PUNCT
ajst-6866	210	13	163	163	NUM
ajst-6866	210	14	-	-	SYM
ajst-6866	210	15	164	164	NUM
ajst-6866	210	16	.	.	PUNCT
ajst-6866	211	1	[	[	X
ajst-6866	211	2	10	10	NUM
ajst-6866	211	3	]	]	X
ajst-6866	211	4	zhang	zhang	PROPN
ajst-6866	211	5	yiming	yiming	PROPN
ajst-6866	211	6	,	,	PUNCT
ajst-6866	211	7	chen	chen	PROPN
ajst-6866	211	8	mingming	mingming	PROPN
ajst-6866	211	9	,	,	PUNCT
ajst-6866	211	10	shi	shi	PROPN
ajst-6866	211	11	lei	lei	PROPN
ajst-6866	211	12	,	,	PUNCT
ajst-6866	211	13	et	et	PROPN
ajst-6866	211	14	al	al	PROPN
ajst-6866	211	15	.	.	PUNCT
ajst-6866	212	1	a	a	DET
ajst-6866	212	2	forecast	forecast	NOUN
ajst-6866	212	3	of	of	ADP
ajst-6866	212	4	short	short	ADJ
ajst-6866	212	5	-	-	PUNCT
ajst-6866	212	6	term	term	NOUN
ajst-6866	212	7	passenger	passenger	NOUN
ajst-6866	212	8	flow	flow	NOUN
ajst-6866	212	9	of	of	ADP
ajst-6866	212	10	rail	rail	NOUN
ajst-6866	212	11	transit	transit	NOUN
ajst-6866	212	12	based	base	VERB
ajst-6866	212	13	on	on	ADP
ajst-6866	212	14	igwobp	igwobp	PROPN
ajst-6866	212	15	algorithm[j	algorithm[j	PROPN
ajst-6866	212	16	]	]	PUNCT
ajst-6866	212	17	.	.	PUNCT
ajst-6866	213	1	journal	journal	PROPN
ajst-6866	213	2	of	of	ADP
ajst-6866	213	3	transport	transport	NOUN
ajst-6866	213	4	information	information	NOUN
ajst-6866	213	5	and	and	CCONJ
ajst-6866	213	6	safety	safety	NOUN
ajst-6866	213	7	,	,	PUNCT
ajst-6866	213	8	2021,39(03)：85	2021,39(03)：85	NOUN
ajst-6866	213	9	-	-	SYM
ajst-6866	213	10	92	92	NUM
ajst-6866	214	1	[	[	SYM
ajst-6866	214	2	11	11	NUM
ajst-6866	214	3	]	]	X
ajst-6866	214	4	xiao	xiao	PROPN
ajst-6866	214	5	mingliang	mingliang	PROPN
ajst-6866	214	6	.	.	PUNCT
ajst-6866	215	1	research	research	NOUN
ajst-6866	215	2	on	on	ADP
ajst-6866	215	3	subway	subway	NOUN
ajst-6866	215	4	passenger	passenger	NOUN
ajst-6866	215	5	flow	flow	NOUN
ajst-6866	215	6	forecast	forecast	NOUN
ajst-6866	215	7	based	base	VERB
ajst-6866	215	8	on	on	ADP
ajst-6866	215	9	improved	improved	ADJ
ajst-6866	215	10	bp	bp	PROPN
ajst-6866	215	11	neural	neural	ADJ
ajst-6866	215	12	network	network	NOUN
ajst-6866	216	1	[	[	X
ajst-6866	216	2	d	d	X
ajst-6866	216	3	]	]	X
ajst-6866	216	4	.	.	PUNCT
ajst-6866	217	1	nanchang	nanchang	PROPN
ajst-6866	217	2	：	：	PUNCT
ajst-6866	217	3	nanchang	nanchang	PROPN
ajst-6866	217	4	university	university	PROPN
ajst-6866	217	5	,	,	PUNCT
ajst-6866	217	6	2021	2021	NUM
ajst-6866	217	7	.	.	PUNCT
ajst-6866	218	1	[	[	X
ajst-6866	218	2	12	12	NUM
ajst-6866	218	3	]	]	X
ajst-6866	218	4	ma	ma	PROPN
ajst-6866	218	5	yue	yue	PROPN
ajst-6866	218	6	.	.	PUNCT
ajst-6866	219	1	an	an	DET
ajst-6866	219	2	intelligent	intelligent	ADJ
ajst-6866	219	3	bus	bus	NOUN
ajst-6866	219	4	dispatch	dispatch	NOUN
ajst-6866	219	5	system	system	NOUN
ajst-6866	219	6	based	base	VERB
ajst-6866	219	7	on	on	ADP
ajst-6866	219	8	fuzzy	fuzzy	ADJ
ajst-6866	219	9	genetic	genetic	ADJ
ajst-6866	219	10	algorithms	algorithm	NOUN
ajst-6866	219	11	[	[	X
ajst-6866	219	12	d	d	X
ajst-6866	219	13	]	]	X
ajst-6866	219	14	.	.	PUNCT
ajst-6866	220	1	inner	inner	PROPN
ajst-6866	220	2	mongolia	mongolia	PROPN
ajst-6866	220	3	:	:	PUNCT
ajst-6866	220	4	：	：	PUNCT
ajst-6866	220	5	inner	inner	PROPN
ajst-6866	220	6	mongolia	mongolia	PROPN
ajst-6866	220	7	university	university	PROPN
ajst-6866	220	8	,	,	PUNCT
ajst-6866	220	9	2016	2016	NUM
ajst-6866	220	10	.	.	PUNCT
ajst-6866	221	1	[	[	X
ajst-6866	221	2	13	13	NUM
ajst-6866	221	3	]	]	X
ajst-6866	221	4	qiang	qiang	PROPN
ajst-6866	221	5	tiangang	tiangang	PROPN
ajst-6866	221	6	,	,	PUNCT
ajst-6866	221	7	liu	liu	PROPN
ajst-6866	221	8	tao	tao	PROPN
ajst-6866	221	9	,	,	PUNCT
ajst-6866	221	10	pei	pei	PROPN
ajst-6866	221	11	yulong	yulong	PROPN
ajst-6866	221	12	.	.	PUNCT
ajst-6866	222	1	combined	combine	VERB
ajst-6866	222	2	prediction	prediction	NOUN
ajst-6866	222	3	model	model	NOUN
ajst-6866	222	4	of	of	ADP
ajst-6866	222	5	sarima	sarima	NOUN
ajst-6866	222	6	and	and	CCONJ
ajst-6866	222	7	gabp	gabp	VERB
ajst-6866	222	8	neural	neural	ADJ
ajst-6866	222	9	network	network	NOUN
ajst-6866	222	10	for	for	ADP
ajst-6866	222	11	subway	subway	NOUN
ajst-6866	222	12	passenger	passenger	NOUN
ajst-6866	222	13	flow	flow	NOUN
ajst-6866	222	14	[	[	X
ajst-6866	222	15	j	j	X
ajst-6866	222	16	]	]	X
ajst-6866	222	17	.	.	PUNCT
ajst-6866	223	1	railway	railway	NOUN
ajst-6866	223	2	transport	transport	NOUN
ajst-6866	223	3	and	and	CCONJ
ajst-6866	223	4	economy	economy	NOUN
ajst-6866	223	5	.	.	PUNCT
ajst-6866	224	1	,	,	PUNCT
ajst-6866	224	2	2021	2021	NUM
ajst-6866	224	3	,	,	PUNCT
ajst-6866	224	4	43(12	43(12	NUM
ajst-6866	224	5	):	):	PUNCT
ajst-6866	224	6	134	134	NUM
ajst-6866	224	7	-	-	SYM
ajst-6866	224	8	142	142	NUM
ajst-6866	224	9	.	.	PUNCT
ajst-6866	225	1	[	[	X
ajst-6866	225	2	14	14	NUM
ajst-6866	225	3	]	]	X
ajst-6866	225	4	zhuang	zhuang	PROPN
ajst-6866	225	5	chutian	chutian	PROPN
ajst-6866	225	6	,	,	PUNCT
ajst-6866	225	7	wu	wu	PROPN
ajst-6866	225	8	chenchen	chenchen	ADV
ajst-6866	225	9	,	,	PUNCT
ajst-6866	225	10	gu	gu	NOUN
ajst-6866	225	11	tianqi	tianqi	NOUN
ajst-6866	225	12	,	,	PUNCT
ajst-6866	225	13	et	et	PROPN
ajst-6866	225	14	al	al	PROPN
ajst-6866	225	15	.	.	PUNCT
ajst-6866	226	1	analysis	analysis	NOUN
ajst-6866	226	2	on	on	ADP
ajst-6866	226	3	characteristics	characteristic	NOUN
ajst-6866	226	4	of	of	ADP
ajst-6866	226	5	rail	rail	NOUN
ajst-6866	226	6	transit	transit	NOUN
ajst-6866	226	7	and	and	CCONJ
ajst-6866	226	8	conventional	conventional	ADJ
ajst-6866	226	9	bus	bus	NOUN
ajst-6866	226	10	transfer	transfer	NOUN
ajst-6866	226	11	in	in	ADP
ajst-6866	226	12	suzhou	suzhou	PROPN
ajst-6866	227	1	[	[	X
ajst-6866	227	2	j	j	X
ajst-6866	227	3	]	]	X
ajst-6866	227	4	.	.	PUNCT
ajst-6866	228	1	traffic	traffic	NOUN
ajst-6866	228	2	&	&	CCONJ
ajst-6866	228	3	transportation	transportation	PROPN
ajst-6866	228	4	,	,	PUNCT
ajst-6866	228	5	2021	2021	NUM
ajst-6866	228	6	,	,	PUNCT
ajst-6866	228	7	37(04	37(04	NUM
ajst-6866	228	8	):	):	PUNCT
ajst-6866	228	9	51	51	NUM
ajst-6866	228	10	-	-	SYM
ajst-6866	228	11	55	55	NUM
ajst-6866	228	12	.	.	PUNCT
ajst-6866	229	1	[	[	X
ajst-6866	229	2	15	15	NUM
ajst-6866	229	3	]	]	X
ajst-6866	229	4	tang	tang	X
ajst-6866	229	5	qiusheng	qiusheng	PROPN
ajst-6866	229	6	,	,	PUNCT
ajst-6866	229	7	wang	wang	PROPN
ajst-6866	229	8	chuan	chuan	PROPN
ajst-6866	229	9	.	.	PUNCT
ajst-6866	230	1	optimized	optimize	VERB
ajst-6866	230	2	of	of	ADP
ajst-6866	230	3	bp	bp	PROPN
ajst-6866	230	4	neural	neural	ADJ
ajst-6866	230	5	network	network	NOUN
ajst-6866	230	6	based	base	VERB
ajst-6866	230	7	on	on	ADP
ajst-6866	230	8	cloud	cloud	ADJ
ajst-6866	230	9	genetic	genetic	ADJ
ajst-6866	230	10	algorithm	algorithm	NOUN
ajst-6866	230	11	to	to	PART
ajst-6866	230	12	predict	predict	VERB
ajst-6866	230	13	orbital	orbital	ADJ
ajst-6866	230	14	passenger	passenger	NOUN
ajst-6866	230	15	flow	flow	NOUN
ajst-6866	231	1	[	[	X
ajst-6866	231	2	j	j	X
ajst-6866	231	3	]	]	X
ajst-6866	231	4	.	.	PUNCT
ajst-6866	232	1	journal	journal	PROPN
ajst-6866	232	2	of	of	ADP
ajst-6866	232	3	guilin	guilin	PROPN
ajst-6866	232	4	university	university	PROPN
ajst-6866	232	5	of	of	ADP
ajst-6866	232	6	technology	technology	NOUN
ajst-6866	232	7	,	,	PUNCT
ajst-6866	232	8	2021	2021	NUM
ajst-6866	232	9	,	,	PUNCT
ajst-6866	232	10	41(02	41(02	NUM
ajst-6866	232	11	):	):	PUNCT
ajst-6866	232	12	403	403	NUM
ajst-6866	232	13	-	-	SYM
ajst-6866	232	14	408	408	NUM
ajst-6866	232	15	.	.	PUNCT
ajst-6866	233	1	[	[	X
ajst-6866	233	2	16	16	NUM
ajst-6866	233	3	]	]	X
ajst-6866	233	4	sun	sun	PROPN
ajst-6866	233	5	yue	yue	PROPN
ajst-6866	233	6	,	,	PUNCT
ajst-6866	233	7	song	song	NOUN
ajst-6866	233	8	xiaoyu	xiaoyu	PROPN
ajst-6866	233	9	,	,	PUNCT
ajst-6866	233	10	jin	jin	NOUN
ajst-6866	233	11	liting	liting	PROPN
ajst-6866	233	12	,	,	PUNCT
ajst-6866	233	13	et.al	et.al	PROPN
ajst-6866	233	14	.	.	PUNCT
ajst-6866	234	1	railway	railway	NOUN
ajst-6866	234	2	passenger	passenger	NOUN
ajst-6866	234	3	flow	flow	NOUN
ajst-6866	234	4	forecast	forecast	NOUN
ajst-6866	234	5	based	base	VERB
ajst-6866	234	6	on	on	ADP
ajst-6866	234	7	armalstm	armalstm	NOUN
ajst-6866	234	8	combined	combine	VERB
ajst-6866	234	9	model	model	NOUN
ajst-6866	235	1	[	[	X
ajst-6866	235	2	j	j	X
ajst-6866	235	3	]	]	X
ajst-6866	235	4	.	.	PUNCT
ajst-6866	236	1	computer	computer	NOUN
ajst-6866	236	2	applications	application	NOUN
ajst-6866	236	3	and	and	CCONJ
ajst-6866	236	4	software	software	NOUN
ajst-6866	236	5	,	,	PUNCT
ajst-6866	236	6	2021	2021	NUM
ajst-6866	236	7	,	,	PUNCT
ajst-6866	236	8	38(12	38(12	NUM
ajst-6866	236	9	):	):	PUNCT
ajst-6866	236	10	262	262	NUM
ajst-6866	236	11	-	-	SYM
ajst-6866	236	12	267	267	NUM
ajst-6866	236	13	.	.	PUNCT
ajst-6866	237	1	[	[	X
ajst-6866	237	2	17	17	NUM
ajst-6866	237	3	]	]	X
ajst-6866	237	4	gong	gong	NOUN
ajst-6866	237	5	lanlan	lanlan	PROPN
ajst-6866	237	6	,	,	PUNCT
ajst-6866	237	7	ling	ling	PROPN
ajst-6866	237	8	xinghong	xinghong	PROPN
ajst-6866	237	9	.	.	PUNCT
ajst-6866	238	1	experimental	experimental	ADJ
ajst-6866	238	2	design	design	NOUN
ajst-6866	238	3	of	of	ADP
ajst-6866	238	4	shortterm	shortterm	PROPN
ajst-6866	238	5	bus	bus	NOUN
ajst-6866	238	6	passenger	passenger	NOUN
ajst-6866	238	7	flow	flow	NOUN
ajst-6866	238	8	forecasting	forecasting	NOUN
ajst-6866	238	9	based	base	VERB
ajst-6866	238	10	on	on	ADP
ajst-6866	238	11	lstm[j	lstm[j	PROPN
ajst-6866	238	12	]	]	PUNCT
ajst-6866	238	13	.	.	PUNCT
ajst-6866	239	1	modern	modern	ADJ
ajst-6866	239	2	electronics	electronic	NOUN
ajst-6866	239	3	technique	technique	NOUN
ajst-6866	239	4	,	,	PUNCT
ajst-6866	239	5	2021	2021	NUM
ajst-6866	239	6	,	,	PUNCT
ajst-6866	239	7	38(12	38(12	NUM
ajst-6866	239	8	):	):	PUNCT
ajst-6866	239	9	262	262	NUM
ajst-6866	239	10	-	-	SYM
ajst-6866	239	11	267	267	NUM
ajst-6866	239	12	.	.	PUNCT
ajst-6866	240	1	[	[	X
ajst-6866	240	2	18	18	NUM
ajst-6866	240	3	]	]	X
ajst-6866	240	4	chen	chen	PROPN
ajst-6866	240	5	wangqiang	wangqiang	PROPN
ajst-6866	240	6	.	.	PUNCT
ajst-6866	241	1	research	research	NOUN
ajst-6866	241	2	on	on	ADP
ajst-6866	241	3	short	short	ADJ
ajst-6866	241	4	-	-	PUNCT
ajst-6866	241	5	term	term	NOUN
ajst-6866	241	6	passenger	passenger	NOUN
ajst-6866	241	7	flow	flow	NOUN
ajst-6866	241	8	forecasting	forecasting	NOUN
ajst-6866	241	9	method	method	NOUN
ajst-6866	241	10	based	base	VERB
ajst-6866	241	11	on	on	ADP
ajst-6866	241	12	deep	deep	ADJ
ajst-6866	241	13	learning[d	learning[d	PROPN
ajst-6866	241	14	]	]	PUNCT
ajst-6866	241	15	.	.	PUNCT
ajst-6866	242	1	beijing	beijing	PROPN
ajst-6866	242	2	：	：	PUNCT
ajst-6866	242	3	beijing	beijing	PROPN
ajst-6866	242	4	jiaotong	jiaotong	PROPN
ajst-6866	242	5	university	university	PROPN
ajst-6866	242	6	,	,	PUNCT
ajst-6866	242	7	2021	2021	NUM
ajst-6866	242	8	.	.	PUNCT