id	sid	tid	token	lemma	pos
iogr-453	1	1	a	a	DET
iogr-453	1	2	sample	sample	NOUN
iogr-453	1	3	paper	paper	NOUN
iogr-453	1	4	for	for	ADP
iogr-453	1	5	presentation	presentation	NOUN
iogr-453	1	6	at	at	ADP
iogr-453	1	7	anziis	anziis	NOUN
iogr-453	1	8	2001	2001	NUM
iogr-453	1	9	copyright	copyright	NOUN
iogr-453	1	10	©	©	ADP
iogr-453	1	11	the	the	DET
iogr-453	1	12	author(s	author(s	NOUN
iogr-453	1	13	)	)	PUNCT
iogr-453	1	14	.	.	PUNCT
iogr-453	2	1	this	this	DET
iogr-453	2	2	work	work	NOUN
iogr-453	2	3	is	be	AUX
iogr-453	2	4	licensed	license	VERB
iogr-453	2	5	under	under	ADP
iogr-453	2	6	a	a	DET
iogr-453	2	7	creative	creative	ADJ
iogr-453	2	8	commons	common	NOUN
iogr-453	2	9	attribution	attribution	NOUN
iogr-453	2	10	4.0	4.0	NUM
iogr-453	2	11	international	international	ADJ
iogr-453	2	12	license	license	NOUN
iogr-453	2	13	.	.	PUNCT
iogr-453	3	1	doi	doi	NOUN
iogr-453	3	2	:	:	PUNCT
iogr-453	3	3	10.14800	10.14800	NUM
iogr-453	3	4	/	/	SYM
iogr-453	3	5	iogr.453	iogr.453	NOUN
iogr-453	3	6	received	receive	VERB
iogr-453	3	7	july	july	PROPN
iogr-453	3	8	11	11	NUM
iogr-453	3	9	,	,	PUNCT
iogr-453	3	10	2019	2019	NUM
iogr-453	3	11	;	;	PUNCT
iogr-453	3	12	revised	revise	VERB
iogr-453	3	13	august	august	PROPN
iogr-453	3	14	18	18	NUM
iogr-453	3	15	,	,	PUNCT
iogr-453	3	16	2019	2019	NUM
iogr-453	3	17	;	;	PUNCT
iogr-453	3	18	accepted	accept	VERB
iogr-453	3	19	september	september	PROPN
iogr-453	3	20	8	8	NUM
iogr-453	3	21	,	,	PUNCT
iogr-453	3	22	2019	2019	NUM
iogr-453	3	23	.	.	PUNCT
iogr-453	4	1	*	*	PUNCT
iogr-453	4	2	corresponding	correspond	VERB
iogr-453	4	3	author	author	NOUN
iogr-453	4	4	:	:	PUNCT
iogr-453	4	5	xiangwang@cczu.edu.cn	xiangwang@cczu.edu.cn	PROPN
iogr-453	4	6	1	1	NUM
iogr-453	4	7	well	well	NOUN
iogr-453	4	8	production	production	NOUN
iogr-453	4	9	real	real	ADJ
iogr-453	4	10	-	-	PUNCT
iogr-453	4	11	time	time	NOUN
iogr-453	4	12	intelligent	intelligent	ADJ
iogr-453	4	13	monitoring	monitoring	NOUN
iogr-453	4	14	based	base	VERB
iogr-453	4	15	on	on	ADP
iogr-453	4	16	convolutional	convolutional	ADJ
iogr-453	4	17	neural	neural	ADJ
iogr-453	4	18	network	network	NOUN
iogr-453	4	19	zhen	zhen	PROPN
iogr-453	4	20	wang	wang	PROPN
iogr-453	4	21	,	,	PUNCT
iogr-453	4	22	luming	lume	VERB
iogr-453	4	23	oil	oil	NOUN
iogr-453	4	24	and	and	CCONJ
iogr-453	4	25	gas	gas	NOUN
iogr-453	4	26	exploration	exploration	NOUN
iogr-453	4	27	and	and	CCONJ
iogr-453	4	28	development	development	PROPN
iogr-453	4	29	co.	co.	PROPN
iogr-453	4	30	,	,	PUNCT
iogr-453	4	31	ltd	ltd	PROPN
iogr-453	4	32	,	,	PUNCT
iogr-453	4	33	shengli	shengli	PROPN
iogr-453	4	34	oilfield	oilfield	NOUN
iogr-453	4	35	,	,	PUNCT
iogr-453	4	36	dongying	dongying	NOUN
iogr-453	4	37	,	,	PUNCT
iogr-453	4	38	china	china	PROPN
iogr-453	4	39	;	;	PUNCT
iogr-453	4	40	xiang	xiang	PROPN
iogr-453	4	41	wang	wang	PROPN
iogr-453	4	42	*	*	PROPN
iogr-453	4	43	,	,	PUNCT
iogr-453	4	44	changzhou	changzhou	PROPN
iogr-453	4	45	university	university	PROPN
iogr-453	4	46	,	,	PUNCT
iogr-453	4	47	changzhou	changzhou	PROPN
iogr-453	4	48	,	,	PUNCT
iogr-453	4	49	china	china	PROPN
iogr-453	4	50	;	;	PUNCT
iogr-453	4	51	weigang	weigang	PROPN
iogr-453	4	52	duan	duan	PROPN
iogr-453	4	53	,	,	PUNCT
iogr-453	4	54	fajun	fajun	PROPN
iogr-453	4	55	li	li	PROPN
iogr-453	4	56	and	and	CCONJ
iogr-453	4	57	fei	fei	PROPN
iogr-453	4	58	chen	chen	PROPN
iogr-453	4	59	,	,	PUNCT
iogr-453	4	60	luming	lume	VERB
iogr-453	4	61	oil	oil	NOUN
iogr-453	4	62	and	and	CCONJ
iogr-453	4	63	gas	gas	NOUN
iogr-453	4	64	exploration	exploration	NOUN
iogr-453	4	65	and	and	CCONJ
iogr-453	4	66	development	development	PROPN
iogr-453	4	67	co.	co.	PROPN
iogr-453	4	68	,	,	PUNCT
iogr-453	4	69	ltd	ltd	PROPN
iogr-453	4	70	,	,	PUNCT
iogr-453	4	71	shengli	shengli	PROPN
iogr-453	4	72	oilfield	oilfield	NOUN
iogr-453	4	73	,	,	PUNCT
iogr-453	4	74	dongying	dongying	PROPN
iogr-453	4	75	,	,	PUNCT
iogr-453	4	76	china	china	PROPN
iogr-453	4	77	abstract	abstract	PROPN
iogr-453	4	78	based	base	VERB
iogr-453	4	79	on	on	ADP
iogr-453	4	80	the	the	DET
iogr-453	4	81	theory	theory	NOUN
iogr-453	4	82	of	of	ADP
iogr-453	4	83	deep	deep	ADJ
iogr-453	4	84	learning	learning	NOUN
iogr-453	4	85	,	,	PUNCT
iogr-453	4	86	this	this	DET
iogr-453	4	87	paper	paper	NOUN
iogr-453	4	88	proposes	propose	VERB
iogr-453	4	89	the	the	DET
iogr-453	4	90	use	use	NOUN
iogr-453	4	91	of	of	ADP
iogr-453	4	92	convolution	convolution	NOUN
iogr-453	4	93	neural	neural	ADJ
iogr-453	4	94	network	network	NOUN
iogr-453	4	95	(	(	PUNCT
iogr-453	4	96	cnn	cnn	PROPN
iogr-453	4	97	)	)	PUNCT
iogr-453	4	98	method	method	VERB
iogr-453	4	99	to	to	PART
iogr-453	4	100	identify	identify	VERB
iogr-453	4	101	the	the	DET
iogr-453	4	102	working	work	VERB
iogr-453	4	103	condition	condition	NOUN
iogr-453	4	104	of	of	ADP
iogr-453	4	105	pumping	pump	VERB
iogr-453	4	106	unit	unit	NOUN
iogr-453	4	107	of	of	ADP
iogr-453	4	108	an	an	DET
iogr-453	4	109	oil	oil	NOUN
iogr-453	4	110	well	well	NOUN
iogr-453	4	111	by	by	ADP
iogr-453	4	112	indicator	indicator	NOUN
iogr-453	4	113	diagram	diagram	PROPN
iogr-453	4	114	.	.	PUNCT
iogr-453	5	1	the	the	DET
iogr-453	5	2	structure	structure	NOUN
iogr-453	5	3	and	and	CCONJ
iogr-453	5	4	principle	principle	NOUN
iogr-453	5	5	of	of	ADP
iogr-453	5	6	cnn	cnn	PROPN
iogr-453	5	7	are	be	AUX
iogr-453	5	8	introduced	introduce	VERB
iogr-453	5	9	,	,	PUNCT
iogr-453	5	10	and	and	CCONJ
iogr-453	5	11	the	the	DET
iogr-453	5	12	cnn	cnn	PROPN
iogr-453	5	13	-	-	PUNCT
iogr-453	5	14	based	base	VERB
iogr-453	5	15	indicator	indicator	NOUN
iogr-453	5	16	diagram	diagram	NOUN
iogr-453	5	17	identification	identification	NOUN
iogr-453	5	18	model	model	NOUN
iogr-453	5	19	is	be	AUX
iogr-453	5	20	established	establish	VERB
iogr-453	5	21	.	.	PUNCT
iogr-453	6	1	over	over	ADP
iogr-453	6	2	180,000	180,000	NUM
iogr-453	6	3	pieces	piece	NOUN
iogr-453	6	4	of	of	ADP
iogr-453	6	5	indicator	indicator	NOUN
iogr-453	6	6	diagram	diagram	NOUN
iogr-453	6	7	data	datum	NOUN
iogr-453	6	8	from	from	ADP
iogr-453	6	9	a	a	DET
iogr-453	6	10	real	real	ADJ
iogr-453	6	11	oilfield	oilfield	NOUN
iogr-453	6	12	are	be	AUX
iogr-453	6	13	collected	collect	VERB
iogr-453	6	14	and	and	CCONJ
iogr-453	6	15	the	the	DET
iogr-453	6	16	working	work	VERB
iogr-453	6	17	conditions	condition	NOUN
iogr-453	6	18	corresponding	correspond	VERB
iogr-453	6	19	to	to	ADP
iogr-453	6	20	each	each	DET
iogr-453	6	21	indicator	indicator	NOUN
iogr-453	6	22	diagram	diagram	NOUN
iogr-453	6	23	are	be	AUX
iogr-453	6	24	manually	manually	ADV
iogr-453	6	25	labeled	label	VERB
iogr-453	6	26	as	as	ADP
iogr-453	6	27	the	the	DET
iogr-453	6	28	training	training	NOUN
iogr-453	6	29	set	set	NOUN
iogr-453	6	30	for	for	ADP
iogr-453	6	31	cnn	cnn	PROPN
iogr-453	6	32	model	model	NOUN
iogr-453	6	33	.	.	PUNCT
iogr-453	7	1	using	use	VERB
iogr-453	7	2	this	this	DET
iogr-453	7	3	training	training	NOUN
iogr-453	7	4	set	set	NOUN
iogr-453	7	5	,	,	PUNCT
iogr-453	7	6	the	the	DET
iogr-453	7	7	cnn	cnn	PROPN
iogr-453	7	8	-	-	PUNCT
iogr-453	7	9	based	base	VERB
iogr-453	7	10	indicator	indicator	NOUN
iogr-453	7	11	diagram	diagram	NOUN
iogr-453	7	12	identification	identification	NOUN
iogr-453	7	13	model	model	NOUN
iogr-453	7	14	is	be	AUX
iogr-453	7	15	trained	train	VERB
iogr-453	7	16	and	and	CCONJ
iogr-453	7	17	tested	test	VERB
iogr-453	7	18	.	.	PUNCT
iogr-453	8	1	the	the	DET
iogr-453	8	2	training	training	NOUN
iogr-453	8	3	and	and	CCONJ
iogr-453	8	4	test	test	NOUN
iogr-453	8	5	results	result	NOUN
iogr-453	8	6	show	show	VERB
iogr-453	8	7	that	that	SCONJ
iogr-453	8	8	the	the	DET
iogr-453	8	9	accuracy	accuracy	NOUN
iogr-453	8	10	of	of	ADP
iogr-453	8	11	the	the	DET
iogr-453	8	12	cnn	cnn	PROPN
iogr-453	8	13	-	-	PUNCT
iogr-453	8	14	based	base	VERB
iogr-453	8	15	indicator	indicator	NOUN
iogr-453	8	16	diagram	diagram	NOUN
iogr-453	8	17	identification	identification	NOUN
iogr-453	8	18	model	model	NOUN
iogr-453	8	19	is	be	AUX
iogr-453	8	20	more	more	ADJ
iogr-453	8	21	than	than	ADP
iogr-453	8	22	90	90	NUM
iogr-453	8	23	%	%	NOUN
iogr-453	8	24	.	.	PUNCT
iogr-453	9	1	compared	compare	VERB
iogr-453	9	2	with	with	ADP
iogr-453	9	3	the	the	DET
iogr-453	9	4	traditional	traditional	ADJ
iogr-453	9	5	neural	neural	ADJ
iogr-453	9	6	network	network	NOUN
iogr-453	9	7	models	model	NOUN
iogr-453	9	8	,	,	PUNCT
iogr-453	9	9	cnn	cnn	PROPN
iogr-453	9	10	model	model	NOUN
iogr-453	9	11	can	can	AUX
iogr-453	9	12	learn	learn	VERB
iogr-453	9	13	from	from	ADP
iogr-453	9	14	the	the	DET
iogr-453	9	15	image	image	NOUN
iogr-453	9	16	directly	directly	ADV
iogr-453	9	17	and	and	CCONJ
iogr-453	9	18	avoid	avoid	VERB
iogr-453	9	19	the	the	DET
iogr-453	9	20	complex	complex	ADJ
iogr-453	9	21	process	process	NOUN
iogr-453	9	22	of	of	ADP
iogr-453	9	23	artificial	artificial	ADJ
iogr-453	9	24	extraction	extraction	NOUN
iogr-453	9	25	of	of	ADP
iogr-453	9	26	features	feature	NOUN
iogr-453	9	27	,	,	PUNCT
iogr-453	9	28	hence	hence	ADV
iogr-453	9	29	lead	lead	VERB
iogr-453	9	30	to	to	ADP
iogr-453	9	31	a	a	DET
iogr-453	9	32	better	well	ADJ
iogr-453	9	33	performance	performance	NOUN
iogr-453	9	34	.	.	PUNCT
iogr-453	10	1	the	the	DET
iogr-453	10	2	cnn	cnn	PROPN
iogr-453	10	3	-	-	PUNCT
iogr-453	10	4	based	base	VERB
iogr-453	10	5	indicator	indicator	NOUN
iogr-453	10	6	diagram	diagram	NOUN
iogr-453	10	7	classification	classification	NOUN
iogr-453	10	8	and	and	CCONJ
iogr-453	10	9	recognition	recognition	NOUN
iogr-453	10	10	model	model	NOUN
iogr-453	10	11	can	can	AUX
iogr-453	10	12	be	be	AUX
iogr-453	10	13	combined	combine	VERB
iogr-453	10	14	with	with	ADP
iogr-453	10	15	the	the	DET
iogr-453	10	16	real	real	ADJ
iogr-453	10	17	-	-	PUNCT
iogr-453	10	18	time	time	NOUN
iogr-453	10	19	data	datum	NOUN
iogr-453	10	20	acquisition	acquisition	NOUN
iogr-453	10	21	system	system	NOUN
iogr-453	10	22	of	of	ADP
iogr-453	10	23	the	the	DET
iogr-453	10	24	well	well	NOUN
iogr-453	10	25	to	to	PART
iogr-453	10	26	realize	realize	VERB
iogr-453	10	27	the	the	DET
iogr-453	10	28	real	real	ADJ
iogr-453	10	29	-	-	PUNCT
iogr-453	10	30	time	time	NOUN
iogr-453	10	31	intelligent	intelligent	ADJ
iogr-453	10	32	monitoring	monitoring	NOUN
iogr-453	10	33	of	of	ADP
iogr-453	10	34	the	the	DET
iogr-453	10	35	oil	oil	NOUN
iogr-453	10	36	well	well	NOUN
iogr-453	10	37	working	working	NOUN
iogr-453	10	38	condition	condition	NOUN
iogr-453	10	39	.	.	PUNCT
iogr-453	11	1	introduction	introduction	NOUN
iogr-453	11	2	rod	rod	NOUN
iogr-453	11	3	pumping	pumping	NOUN
iogr-453	11	4	is	be	AUX
iogr-453	11	5	the	the	DET
iogr-453	11	6	most	most	ADV
iogr-453	11	7	commonly	commonly	ADV
iogr-453	11	8	used	use	VERB
iogr-453	11	9	method	method	NOUN
iogr-453	11	10	in	in	ADP
iogr-453	11	11	oil	oil	NOUN
iogr-453	11	12	production	production	NOUN
iogr-453	11	13	.	.	PUNCT
iogr-453	12	1	monitoring	monitor	VERB
iogr-453	12	2	the	the	DET
iogr-453	12	3	working	work	VERB
iogr-453	12	4	conditions	condition	NOUN
iogr-453	12	5	in	in	ADP
iogr-453	12	6	real	real	ADJ
iogr-453	12	7	time	time	NOUN
iogr-453	12	8	is	be	AUX
iogr-453	12	9	very	very	ADV
iogr-453	12	10	important	important	ADJ
iogr-453	12	11	to	to	PART
iogr-453	12	12	avoid	avoid	VERB
iogr-453	12	13	the	the	DET
iogr-453	12	14	inefficient	inefficient	ADJ
iogr-453	12	15	production	production	NOUN
iogr-453	12	16	,	,	PUNCT
iogr-453	12	17	reduce	reduce	VERB
iogr-453	12	18	the	the	DET
iogr-453	12	19	production	production	NOUN
iogr-453	12	20	cost	cost	NOUN
iogr-453	12	21	,	,	PUNCT
iogr-453	12	22	and	and	CCONJ
iogr-453	12	23	improve	improve	VERB
iogr-453	12	24	the	the	DET
iogr-453	12	25	oil	oil	NOUN
iogr-453	12	26	production	production	NOUN
iogr-453	12	27	capacity	capacity	NOUN
iogr-453	12	28	.	.	PUNCT
iogr-453	13	1	the	the	DET
iogr-453	13	2	working	work	VERB
iogr-453	13	3	conditions	condition	NOUN
iogr-453	13	4	diagnose	diagnose	NOUN
iogr-453	13	5	is	be	AUX
iogr-453	13	6	mainly	mainly	ADV
iogr-453	13	7	conducted	conduct	VERB
iogr-453	13	8	by	by	ADP
iogr-453	13	9	using	use	VERB
iogr-453	13	10	the	the	DET
iogr-453	13	11	indicator	indicator	NOUN
iogr-453	13	12	diagram	diagram	NOUN
iogr-453	13	13	of	of	ADP
iogr-453	13	14	pumping	pump	VERB
iogr-453	13	15	well	well	ADV
iogr-453	13	16	(	(	PUNCT
iogr-453	13	17	wang	wang	PROPN
iogr-453	13	18	et	et	PROPN
iogr-453	13	19	al	al	PROPN
iogr-453	13	20	.	.	PROPN
iogr-453	13	21	2001	2001	NUM
iogr-453	13	22	)	)	PUNCT
iogr-453	13	23	.	.	PUNCT
iogr-453	14	1	with	with	ADP
iogr-453	14	2	the	the	DET
iogr-453	14	3	continuous	continuous	ADJ
iogr-453	14	4	improvement	improvement	NOUN
iogr-453	14	5	of	of	ADP
iogr-453	14	6	information	information	NOUN
iogr-453	14	7	construction	construction	NOUN
iogr-453	14	8	in	in	ADP
iogr-453	14	9	the	the	DET
iogr-453	14	10	oilfield	oilfield	NOUN
iogr-453	14	11	,	,	PUNCT
iogr-453	14	12	real	real	ADJ
iogr-453	14	13	-	-	PUNCT
iogr-453	14	14	time	time	NOUN
iogr-453	14	15	online	online	ADJ
iogr-453	14	16	measurement	measurement	NOUN
iogr-453	14	17	of	of	ADP
iogr-453	14	18	well	well	INTJ
iogr-453	14	19	indicator	indicator	NOUN
iogr-453	14	20	diagram	diagram	NOUN
iogr-453	14	21	has	have	AUX
iogr-453	14	22	been	be	AUX
iogr-453	14	23	achieved	achieve	VERB
iogr-453	14	24	.	.	PUNCT
iogr-453	15	1	the	the	DET
iogr-453	15	2	sensors	sensor	NOUN
iogr-453	15	3	installed	instal	VERB
iogr-453	15	4	in	in	ADP
iogr-453	15	5	the	the	DET
iogr-453	15	6	wells	well	NOUN
iogr-453	15	7	can	can	AUX
iogr-453	15	8	collect	collect	VERB
iogr-453	15	9	the	the	DET
iogr-453	15	10	indicator	indicator	NOUN
iogr-453	15	11	diagram	diagram	NOUN
iogr-453	15	12	data	datum	NOUN
iogr-453	15	13	by	by	ADP
iogr-453	15	14	a	a	DET
iogr-453	15	15	certain	certain	ADJ
iogr-453	15	16	frequency	frequency	NOUN
iogr-453	15	17	and	and	CCONJ
iogr-453	15	18	upload	upload	VERB
iogr-453	15	19	the	the	DET
iogr-453	15	20	data	datum	NOUN
iogr-453	15	21	to	to	ADP
iogr-453	15	22	the	the	DET
iogr-453	15	23	management	management	NOUN
iogr-453	15	24	terminal	terminal	NOUN
iogr-453	15	25	(	(	PUNCT
iogr-453	15	26	wang	wang	PROPN
iogr-453	15	27	2006	2006	NUM
iogr-453	15	28	)	)	PUNCT
iogr-453	15	29	.	.	PUNCT
iogr-453	16	1	if	if	SCONJ
iogr-453	16	2	the	the	DET
iogr-453	16	3	data	datum	NOUN
iogr-453	16	4	is	be	AUX
iogr-453	16	5	collected	collect	VERB
iogr-453	16	6	every	every	DET
iogr-453	16	7	30	30	NUM
iogr-453	16	8	minutes	minute	NOUN
iogr-453	16	9	,	,	PUNCT
iogr-453	16	10	for	for	ADP
iogr-453	16	11	a	a	DET
iogr-453	16	12	management	management	NOUN
iogr-453	16	13	region	region	NOUN
iogr-453	16	14	of	of	ADP
iogr-453	16	15	an	an	DET
iogr-453	16	16	oilfield	oilfield	NOUN
iogr-453	16	17	which	which	PRON
iogr-453	16	18	has	have	VERB
iogr-453	16	19	100	100	NUM
iogr-453	16	20	wells	well	NOUN
iogr-453	16	21	,	,	PUNCT
iogr-453	16	22	144,000	144,000	NUM
iogr-453	16	23	pieces	piece	NOUN
iogr-453	16	24	of	of	ADP
iogr-453	16	25	data	datum	NOUN
iogr-453	16	26	will	will	AUX
iogr-453	16	27	be	be	AUX
iogr-453	16	28	collected	collect	VERB
iogr-453	16	29	within	within	ADP
iogr-453	16	30	one	one	NUM
iogr-453	16	31	month	month	NOUN
iogr-453	16	32	.	.	PUNCT
iogr-453	17	1	for	for	ADP
iogr-453	17	2	such	such	DET
iogr-453	17	3	a	a	DET
iogr-453	17	4	large	large	ADJ
iogr-453	17	5	number	number	NOUN
iogr-453	17	6	of	of	ADP
iogr-453	17	7	data	datum	NOUN
iogr-453	17	8	,	,	PUNCT
iogr-453	17	9	the	the	DET
iogr-453	17	10	traditional	traditional	ADJ
iogr-453	17	11	indicator	indicator	NOUN
iogr-453	17	12	diagram	diagram	NOUN
iogr-453	17	13	identification	identification	NOUN
iogr-453	17	14	method	method	NOUN
iogr-453	17	15	,	,	PUNCT
iogr-453	17	16	which	which	PRON
iogr-453	17	17	identifies	identify	VERB
iogr-453	17	18	each	each	DET
iogr-453	17	19	diagram	diagram	NOUN
iogr-453	17	20	manually	manually	ADV
iogr-453	17	21	,	,	PUNCT
iogr-453	17	22	will	will	AUX
iogr-453	17	23	bring	bring	VERB
iogr-453	17	24	a	a	DET
iogr-453	17	25	huge	huge	ADJ
iogr-453	17	26	workload	workload	NOUN
iogr-453	17	27	,	,	PUNCT
iogr-453	17	28	and	and	CCONJ
iogr-453	17	29	the	the	DET
iogr-453	17	30	identification	identification	NOUN
iogr-453	17	31	accuracy	accuracy	NOUN
iogr-453	17	32	is	be	AUX
iogr-453	17	33	affected	affect	VERB
iogr-453	17	34	by	by	ADP
iogr-453	17	35	the	the	DET
iogr-453	17	36	experience	experience	NOUN
iogr-453	17	37	and	and	CCONJ
iogr-453	17	38	knowledge	knowledge	NOUN
iogr-453	17	39	of	of	ADP
iogr-453	17	40	the	the	DET
iogr-453	17	41	field	field	NOUN
iogr-453	17	42	engineer	engineer	NOUN
iogr-453	17	43	.	.	PUNCT
iogr-453	18	1	there	there	PRON
iogr-453	18	2	are	be	VERB
iogr-453	18	3	also	also	ADV
iogr-453	18	4	many	many	ADJ
iogr-453	18	5	automatic	automatic	ADJ
iogr-453	18	6	methods	method	NOUN
iogr-453	18	7	were	be	AUX
iogr-453	18	8	introduced	introduce	VERB
iogr-453	18	9	for	for	ADP
iogr-453	18	10	indicator	indicator	NOUN
iogr-453	18	11	diagram	diagram	NOUN
iogr-453	18	12	identification	identification	NOUN
iogr-453	18	13	,	,	PUNCT
iogr-453	18	14	such	such	ADJ
iogr-453	18	15	as	as	ADP
iogr-453	18	16	the	the	DET
iogr-453	18	17	decision	decision	NOUN
iogr-453	18	18	tree	tree	NOUN
iogr-453	18	19	method	method	NOUN
iogr-453	18	20	(	(	PUNCT
iogr-453	18	21	gong	gong	NOUN
iogr-453	18	22	2016	2016	NUM
iogr-453	18	23	)	)	PUNCT
iogr-453	18	24	,	,	PUNCT
iogr-453	18	25	gray	gray	ADJ
iogr-453	18	26	correlation	correlation	NOUN
iogr-453	18	27	analysis	analysis	NOUN
iogr-453	18	28	(	(	PUNCT
iogr-453	18	29	xu	xu	INTJ
iogr-453	18	30	and	and	CCONJ
iogr-453	18	31	yang	yang	PROPN
iogr-453	18	32	2013	2013	NUM
iogr-453	18	33	)	)	PUNCT
iogr-453	18	34	,	,	PUNCT
iogr-453	18	35	pattern	pattern	NOUN
iogr-453	18	36	recognition	recognition	NOUN
iogr-453	18	37	method	method	NOUN
iogr-453	18	38	(	(	PUNCT
iogr-453	18	39	schirmer	schirmer	PROPN
iogr-453	18	40	et	et	PROPN
iogr-453	18	41	al	al	PROPN
iogr-453	18	42	.	.	PROPN
iogr-453	18	43	2013	2013	NUM
iogr-453	18	44	)	)	PUNCT
iogr-453	18	45	,	,	PUNCT
iogr-453	18	46	etc	etc	X
iogr-453	18	47	.	.	X
iogr-453	19	1	however	however	ADV
iogr-453	19	2	,	,	PUNCT
iogr-453	19	3	these	these	DET
iogr-453	19	4	methods	method	NOUN
iogr-453	19	5	also	also	ADV
iogr-453	19	6	have	have	VERB
iogr-453	19	7	the	the	DET
iogr-453	19	8	issues	issue	NOUN
iogr-453	19	9	of	of	ADP
iogr-453	19	10	low	low	ADJ
iogr-453	19	11	accuracy	accuracy	NOUN
iogr-453	19	12	.	.	PUNCT
iogr-453	20	1	in	in	ADP
iogr-453	20	2	recent	recent	ADJ
iogr-453	20	3	years	year	NOUN
iogr-453	20	4	,	,	PUNCT
iogr-453	20	5	with	with	ADP
iogr-453	20	6	the	the	DET
iogr-453	20	7	development	development	NOUN
iogr-453	20	8	of	of	ADP
iogr-453	20	9	machine	machine	NOUN
iogr-453	20	10	learning	learn	VERB
iogr-453	20	11	technology	technology	NOUN
iogr-453	20	12	,	,	PUNCT
iogr-453	20	13	researchers	researcher	NOUN
iogr-453	20	14	start	start	VERB
iogr-453	20	15	to	to	PART
iogr-453	20	16	apply	apply	VERB
iogr-453	20	17	the	the	DET
iogr-453	20	18	machine	machine	NOUN
iogr-453	20	19	learning	learn	VERB
iogr-453	20	20	methods	method	NOUN
iogr-453	20	21	to	to	PART
iogr-453	20	22	identify	identify	VERB
iogr-453	20	23	the	the	DET
iogr-453	20	24	indicator	indicator	NOUN
iogr-453	20	25	diagram	diagram	NOUN
iogr-453	20	26	automatically	automatically	ADV
iogr-453	20	27	(	(	PUNCT
iogr-453	20	28	nazi	nazi	PROPN
iogr-453	20	29	et	et	PROPN
iogr-453	20	30	al	al	PROPN
iogr-453	20	31	.	.	PROPN
iogr-453	20	32	2013	2013	NUM
iogr-453	20	33	;	;	PUNCT
iogr-453	20	34	martinez	martinez	PROPN
iogr-453	20	35	et	et	PROPN
iogr-453	20	36	al	al	PROPN
iogr-453	20	37	.	.	PROPN
iogr-453	20	38	1993	1993	NUM
iogr-453	20	39	;	;	PUNCT
iogr-453	20	40	pan	pan	NOUN
iogr-453	20	41	and	and	CCONJ
iogr-453	20	42	ge	ge	PROPN
iogr-453	20	43	1996	1996	NUM
iogr-453	20	44	;	;	PUNCT
iogr-453	20	45	yue	yue	PROPN
iogr-453	20	46	et	et	PROPN
iogr-453	20	47	al	al	PROPN
iogr-453	20	48	.	.	PROPN
iogr-453	20	49	1999	1999	NUM
iogr-453	20	50	;	;	PUNCT
iogr-453	20	51	li	li	PROPN
iogr-453	20	52	et	et	PROPN
iogr-453	20	53	al	al	PROPN
iogr-453	20	54	.	.	PROPN
iogr-453	20	55	2014	2014	NUM
iogr-453	20	56	;	;	PUNCT
iogr-453	20	57	meng	meng	PROPN
iogr-453	20	58	2012	2012	NUM
iogr-453	20	59	)	)	PUNCT
iogr-453	20	60	.	.	PUNCT
iogr-453	21	1	the	the	DET
iogr-453	21	2	main	main	ADJ
iogr-453	21	3	ideas	idea	NOUN
iogr-453	21	4	of	of	ADP
iogr-453	21	5	these	these	DET
iogr-453	21	6	methods	method	NOUN
iogr-453	21	7	are	be	AUX
iogr-453	21	8	:	:	PUNCT
iogr-453	21	9	firstly	firstly	ADV
iogr-453	21	10	,	,	PUNCT
iogr-453	21	11	extract	extract	VERB
iogr-453	21	12	the	the	DET
iogr-453	21	13	feature	feature	NOUN
iogr-453	21	14	vectors	vector	NOUN
iogr-453	21	15	(	(	PUNCT
iogr-453	21	16	e.g.	e.g.	ADV
iogr-453	21	17	area	area	NOUN
iogr-453	21	18	of	of	ADP
iogr-453	21	19	the	the	DET
iogr-453	21	20	indicator	indicator	NOUN
iogr-453	21	21	diagram	diagram	PROPN
iogr-453	21	22	,	,	PUNCT
iogr-453	21	23	the	the	DET
iogr-453	21	24	maximum	maximum	ADJ
iogr-453	21	25	/	/	SYM
iogr-453	21	26	minimum	minimum	NOUN
iogr-453	21	27	value	value	NOUN
iogr-453	21	28	,	,	PUNCT
iogr-453	21	29	etc	etc	X
iogr-453	21	30	.	.	X
iogr-453	21	31	)	)	PUNCT
iogr-453	21	32	from	from	ADP
iogr-453	21	33	the	the	DET
iogr-453	21	34	indicator	indicator	NOUN
iogr-453	21	35	diagram	diagram	PROPN
iogr-453	21	36	.	.	PUNCT
iogr-453	22	1	then	then	ADV
iogr-453	22	2	,	,	PUNCT
iogr-453	22	3	use	use	VERB
iogr-453	22	4	the	the	DET
iogr-453	22	5	traditional	traditional	ADJ
iogr-453	22	6	neural	neural	ADJ
iogr-453	22	7	network	network	NOUN
iogr-453	22	8	method	method	NOUN
iogr-453	22	9	to	to	PART
iogr-453	22	10	identify	identify	VERB
iogr-453	22	11	the	the	DET
iogr-453	22	12	working	work	VERB
iogr-453	22	13	mailto:xiangwang@cczu.edu.cn	mailto:xiangwang@cczu.edu.cn	NOUN
iogr-453	22	14	2	2	NUM
iogr-453	22	15	conditions	condition	NOUN
iogr-453	22	16	of	of	ADP
iogr-453	22	17	the	the	DET
iogr-453	22	18	indicator	indicator	NOUN
iogr-453	22	19	diagram	diagram	NOUN
iogr-453	22	20	according	accord	VERB
iogr-453	22	21	to	to	ADP
iogr-453	22	22	the	the	DET
iogr-453	22	23	feature	feature	NOUN
iogr-453	22	24	vectors	vector	NOUN
iogr-453	22	25	.	.	PUNCT
iogr-453	23	1	the	the	DET
iogr-453	23	2	selection	selection	NOUN
iogr-453	23	3	of	of	ADP
iogr-453	23	4	features	feature	NOUN
iogr-453	23	5	and	and	CCONJ
iogr-453	23	6	the	the	DET
iogr-453	23	7	quality	quality	NOUN
iogr-453	23	8	of	of	ADP
iogr-453	23	9	these	these	DET
iogr-453	23	10	features	feature	NOUN
iogr-453	23	11	have	have	VERB
iogr-453	23	12	a	a	DET
iogr-453	23	13	significant	significant	ADJ
iogr-453	23	14	influence	influence	NOUN
iogr-453	23	15	on	on	ADP
iogr-453	23	16	the	the	DET
iogr-453	23	17	identification	identification	NOUN
iogr-453	23	18	results	result	NOUN
iogr-453	23	19	.	.	PUNCT
iogr-453	24	1	too	too	ADV
iogr-453	24	2	many	many	ADJ
iogr-453	24	3	features	feature	NOUN
iogr-453	24	4	lead	lead	VERB
iogr-453	24	5	to	to	ADP
iogr-453	24	6	a	a	DET
iogr-453	24	7	large	large	ADJ
iogr-453	24	8	computation	computation	NOUN
iogr-453	24	9	budget	budget	NOUN
iogr-453	24	10	and	and	CCONJ
iogr-453	24	11	noise	noise	NOUN
iogr-453	24	12	may	may	AUX
iogr-453	24	13	involve	involve	VERB
iogr-453	24	14	.	.	PUNCT
iogr-453	25	1	but	but	CCONJ
iogr-453	25	2	if	if	SCONJ
iogr-453	25	3	we	we	PRON
iogr-453	25	4	consider	consider	VERB
iogr-453	25	5	too	too	ADV
iogr-453	25	6	few	few	ADJ
iogr-453	25	7	features	feature	NOUN
iogr-453	25	8	,	,	PUNCT
iogr-453	25	9	the	the	DET
iogr-453	25	10	indicator	indicator	NOUN
iogr-453	25	11	diagram	diagram	NOUN
iogr-453	25	12	can	can	AUX
iogr-453	25	13	not	not	PART
iogr-453	25	14	be	be	AUX
iogr-453	25	15	fully	fully	ADV
iogr-453	25	16	reflected	reflect	VERB
iogr-453	25	17	and	and	CCONJ
iogr-453	25	18	leads	lead	VERB
iogr-453	25	19	to	to	ADP
iogr-453	25	20	a	a	DET
iogr-453	25	21	low	low	ADJ
iogr-453	25	22	identification	identification	NOUN
iogr-453	25	23	accuracy	accuracy	NOUN
iogr-453	25	24	.	.	PUNCT
iogr-453	26	1	moreover	moreover	ADV
iogr-453	26	2	,	,	PUNCT
iogr-453	26	3	lots	lot	NOUN
iogr-453	26	4	of	of	ADP
iogr-453	26	5	useful	useful	ADJ
iogr-453	26	6	information	information	NOUN
iogr-453	26	7	is	be	AUX
iogr-453	26	8	lost	lose	VERB
iogr-453	26	9	during	during	ADP
iogr-453	26	10	the	the	DET
iogr-453	26	11	feature	feature	NOUN
iogr-453	26	12	extraction	extraction	NOUN
iogr-453	26	13	process	process	NOUN
iogr-453	26	14	(	(	PUNCT
iogr-453	26	15	li	li	PROPN
iogr-453	26	16	2015	2015	NUM
iogr-453	26	17	)	)	PUNCT
iogr-453	26	18	.	.	PUNCT
iogr-453	27	1	to	to	PART
iogr-453	27	2	address	address	VERB
iogr-453	27	3	these	these	DET
iogr-453	27	4	problems	problem	NOUN
iogr-453	27	5	,	,	PUNCT
iogr-453	27	6	the	the	DET
iogr-453	27	7	convolution	convolution	NOUN
iogr-453	27	8	neural	neural	ADJ
iogr-453	27	9	network	network	NOUN
iogr-453	27	10	was	be	AUX
iogr-453	27	11	introduced	introduce	VERB
iogr-453	27	12	.	.	PUNCT
iogr-453	28	1	the	the	DET
iogr-453	28	2	convolution	convolution	NOUN
iogr-453	28	3	neural	neural	ADJ
iogr-453	28	4	network	network	NOUN
iogr-453	28	5	(	(	PUNCT
iogr-453	28	6	cnn	cnn	PROPN
iogr-453	28	7	)	)	PUNCT
iogr-453	28	8	model	model	NOUN
iogr-453	28	9	animal	animal	NOUN
iogr-453	28	10	visual	visual	ADJ
iogr-453	28	11	perception	perception	NOUN
iogr-453	28	12	and	and	CCONJ
iogr-453	28	13	avoid	avoid	VERB
iogr-453	28	14	the	the	DET
iogr-453	28	15	explicit	explicit	ADJ
iogr-453	28	16	feature	feature	NOUN
iogr-453	28	17	extract	extract	NOUN
iogr-453	28	18	process	process	NOUN
iogr-453	28	19	.	.	PUNCT
iogr-453	29	1	this	this	PRON
iogr-453	29	2	makes	make	VERB
iogr-453	29	3	cnn	cnn	PROPN
iogr-453	29	4	a	a	DET
iogr-453	29	5	great	great	ADJ
iogr-453	29	6	success	success	NOUN
iogr-453	29	7	in	in	ADP
iogr-453	29	8	many	many	ADJ
iogr-453	29	9	visual	visual	ADJ
iogr-453	29	10	recognition	recognition	NOUN
iogr-453	29	11	tasks	task	NOUN
iogr-453	29	12	.	.	PUNCT
iogr-453	30	1	in	in	ADP
iogr-453	30	2	this	this	DET
iogr-453	30	3	paper	paper	NOUN
iogr-453	30	4	,	,	PUNCT
iogr-453	30	5	a	a	DET
iogr-453	30	6	cnn	cnn	PROPN
iogr-453	30	7	based	base	VERB
iogr-453	30	8	identification	identification	NOUN
iogr-453	30	9	model	model	NOUN
iogr-453	30	10	is	be	AUX
iogr-453	30	11	proposed	propose	VERB
iogr-453	30	12	and	and	CCONJ
iogr-453	30	13	is	be	AUX
iogr-453	30	14	used	use	VERB
iogr-453	30	15	in	in	ADP
iogr-453	30	16	indicator	indicator	NOUN
iogr-453	30	17	diagram	diagram	NOUN
iogr-453	30	18	identification	identification	NOUN
iogr-453	30	19	.	.	PUNCT
iogr-453	31	1	results	result	NOUN
iogr-453	31	2	show	show	VERB
iogr-453	31	3	that	that	SCONJ
iogr-453	31	4	cnn	cnn	PROPN
iogr-453	31	5	method	method	NOUN
iogr-453	31	6	can	can	AUX
iogr-453	31	7	identify	identify	VERB
iogr-453	31	8	the	the	DET
iogr-453	31	9	working	working	NOUN
iogr-453	31	10	conditions	condition	NOUN
iogr-453	31	11	by	by	ADP
iogr-453	31	12	the	the	DET
iogr-453	31	13	indicator	indicator	NOUN
iogr-453	31	14	diagram	diagram	NOUN
iogr-453	31	15	with	with	ADP
iogr-453	31	16	over	over	ADP
iogr-453	31	17	95	95	NUM
iogr-453	31	18	%	%	NOUN
iogr-453	31	19	accuracy	accuracy	NOUN
iogr-453	31	20	and	and	CCONJ
iogr-453	31	21	high	high	ADJ
iogr-453	31	22	efficient	efficient	ADJ
iogr-453	31	23	.	.	PUNCT
iogr-453	32	1	convolution	convolution	NOUN
iogr-453	32	2	neural	neural	ADJ
iogr-453	32	3	network	network	NOUN
iogr-453	32	4	convolution	convolution	NOUN
iogr-453	32	5	neural	neural	ADJ
iogr-453	32	6	network	network	NOUN
iogr-453	32	7	(	(	PUNCT
iogr-453	32	8	cnn	cnn	PROPN
iogr-453	32	9	)	)	PUNCT
iogr-453	32	10	is	be	AUX
iogr-453	32	11	a	a	DET
iogr-453	32	12	type	type	NOUN
iogr-453	32	13	of	of	ADP
iogr-453	32	14	feed	feed	NOUN
iogr-453	32	15	-	-	PUNCT
iogr-453	32	16	forward	forward	ADV
iogr-453	32	17	artificial	artificial	ADJ
iogr-453	32	18	neural	neural	ADJ
iogr-453	32	19	network	network	NOUN
iogr-453	32	20	in	in	ADP
iogr-453	32	21	which	which	PRON
iogr-453	32	22	the	the	DET
iogr-453	32	23	connectivity	connectivity	NOUN
iogr-453	32	24	pattern	pattern	NOUN
iogr-453	32	25	between	between	ADP
iogr-453	32	26	its	its	PRON
iogr-453	32	27	neurons	neuron	NOUN
iogr-453	32	28	is	be	AUX
iogr-453	32	29	inspired	inspire	VERB
iogr-453	32	30	by	by	ADP
iogr-453	32	31	the	the	DET
iogr-453	32	32	organization	organization	NOUN
iogr-453	32	33	of	of	ADP
iogr-453	32	34	the	the	DET
iogr-453	32	35	animal	animal	NOUN
iogr-453	32	36	visual	visual	ADJ
iogr-453	32	37	cortex	cortex	NOUN
iogr-453	32	38	(	(	PUNCT
iogr-453	32	39	lisa	lisa	NOUN
iogr-453	32	40	lab	lab	PROPN
iogr-453	32	41	2017	2017	NUM
iogr-453	32	42	;	;	PUNCT
iogr-453	32	43	matsugu	matsugu	ADV
iogr-453	32	44	et	et	PROPN
iogr-453	32	45	al	al	PROPN
iogr-453	32	46	.	.	PROPN
iogr-453	32	47	2003	2003	NUM
iogr-453	32	48	)	)	PUNCT
iogr-453	32	49	.	.	PUNCT
iogr-453	33	1	it	it	PRON
iogr-453	33	2	is	be	AUX
iogr-453	33	3	a	a	DET
iogr-453	33	4	variation	variation	NOUN
iogr-453	33	5	of	of	ADP
iogr-453	33	6	a	a	DET
iogr-453	33	7	multilayer	multilayer	ADJ
iogr-453	33	8	perceptron	perceptron	NOUN
iogr-453	33	9	(	(	PUNCT
iogr-453	33	10	mlr	mlr	PROPN
iogr-453	33	11	)	)	PUNCT
iogr-453	33	12	.	.	PUNCT
iogr-453	34	1	cnn	cnn	PROPN
iogr-453	34	2	has	have	VERB
iogr-453	34	3	wide	wide	ADJ
iogr-453	34	4	applications	application	NOUN
iogr-453	34	5	in	in	ADP
iogr-453	34	6	image	image	NOUN
iogr-453	34	7	and	and	CCONJ
iogr-453	34	8	video	video	NOUN
iogr-453	34	9	recognition	recognition	NOUN
iogr-453	34	10	,	,	PUNCT
iogr-453	34	11	recommender	recommender	NOUN
iogr-453	34	12	systems	system	NOUN
iogr-453	34	13	(	(	PUNCT
iogr-453	34	14	aaron	aaron	PROPN
iogr-453	34	15	et	et	PROPN
iogr-453	34	16	al	al	PROPN
iogr-453	34	17	.	.	PROPN
iogr-453	34	18	2013	2013	NUM
iogr-453	34	19	)	)	PUNCT
iogr-453	34	20	,	,	PUNCT
iogr-453	34	21	and	and	CCONJ
iogr-453	34	22	natural	natural	ADJ
iogr-453	34	23	language	language	NOUN
iogr-453	34	24	processing	processing	NOUN
iogr-453	34	25	(	(	PUNCT
iogr-453	34	26	collobert	collobert	PROPN
iogr-453	34	27	and	and	CCONJ
iogr-453	34	28	weston	weston	PROPN
iogr-453	34	29	2008	2008	NUM
iogr-453	34	30	)	)	PUNCT
iogr-453	34	31	.	.	PUNCT
iogr-453	35	1	in	in	ADP
iogr-453	35	2	this	this	DET
iogr-453	35	3	section	section	NOUN
iogr-453	35	4	,	,	PUNCT
iogr-453	35	5	we	we	PRON
iogr-453	35	6	introduce	introduce	VERB
iogr-453	35	7	the	the	DET
iogr-453	35	8	structure	structure	NOUN
iogr-453	35	9	of	of	ADP
iogr-453	35	10	cnn	cnn	PROPN
iogr-453	35	11	and	and	CCONJ
iogr-453	35	12	its	its	PRON
iogr-453	35	13	training	training	NOUN
iogr-453	35	14	method	method	NOUN
iogr-453	35	15	.	.	PUNCT
iogr-453	36	1	structure	structure	NOUN
iogr-453	36	2	of	of	ADP
iogr-453	36	3	cnn	cnn	PROPN
iogr-453	36	4	.	.	PUNCT
iogr-453	37	1	cnn	cnn	PROPN
iogr-453	37	2	includes	include	VERB
iogr-453	37	3	several	several	ADJ
iogr-453	37	4	feature	feature	NOUN
iogr-453	37	5	extraction	extraction	NOUN
iogr-453	37	6	stages	stage	NOUN
iogr-453	37	7	and	and	CCONJ
iogr-453	37	8	a	a	DET
iogr-453	37	9	classifier	classifier	NOUN
iogr-453	37	10	in	in	ADP
iogr-453	37	11	structure	structure	NOUN
iogr-453	37	12	.	.	PUNCT
iogr-453	38	1	in	in	ADP
iogr-453	38	2	each	each	DET
iogr-453	38	3	feature	feature	NOUN
iogr-453	38	4	extraction	extraction	NOUN
iogr-453	38	5	stage	stage	NOUN
iogr-453	38	6	,	,	PUNCT
iogr-453	38	7	a	a	DET
iogr-453	38	8	higher	high	ADJ
iogr-453	38	9	level	level	NOUN
iogr-453	38	10	of	of	ADP
iogr-453	38	11	features	feature	NOUN
iogr-453	38	12	is	be	AUX
iogr-453	38	13	obtained	obtain	VERB
iogr-453	38	14	through	through	ADP
iogr-453	38	15	convolution	convolution	NOUN
iogr-453	38	16	operations	operation	NOUN
iogr-453	38	17	.	.	PUNCT
iogr-453	39	1	each	each	DET
iogr-453	39	2	feature	feature	NOUN
iogr-453	39	3	extraction	extraction	NOUN
iogr-453	39	4	stage	stage	NOUN
iogr-453	39	5	includes	include	VERB
iogr-453	39	6	a	a	DET
iogr-453	39	7	convolution	convolution	NOUN
iogr-453	39	8	layer	layer	NOUN
iogr-453	39	9	and	and	CCONJ
iogr-453	39	10	a	a	DET
iogr-453	39	11	sub	sub	ADJ
iogr-453	39	12	-	-	ADJ
iogr-453	39	13	sampling	sample	VERB
iogr-453	39	14	layer	layer	NOUN
iogr-453	39	15	.	.	PUNCT
iogr-453	40	1	the	the	DET
iogr-453	40	2	output	output	NOUN
iogr-453	40	3	of	of	ADP
iogr-453	40	4	each	each	DET
iogr-453	40	5	layer	layer	NOUN
iogr-453	40	6	is	be	AUX
iogr-453	40	7	a	a	DET
iogr-453	40	8	series	series	NOUN
iogr-453	40	9	of	of	ADP
iogr-453	40	10	feature	feature	NOUN
iogr-453	40	11	maps	map	NOUN
iogr-453	40	12	.	.	PUNCT
iogr-453	41	1	the	the	DET
iogr-453	41	2	output	output	NOUN
iogr-453	41	3	of	of	ADP
iogr-453	41	4	feature	feature	NOUN
iogr-453	41	5	maps	map	NOUN
iogr-453	41	6	obtained	obtain	VERB
iogr-453	41	7	in	in	ADP
iogr-453	41	8	the	the	DET
iogr-453	41	9	last	last	ADJ
iogr-453	41	10	feature	feature	NOUN
iogr-453	41	11	extraction	extraction	NOUN
iogr-453	41	12	stage	stage	NOUN
iogr-453	41	13	is	be	AUX
iogr-453	41	14	used	use	VERB
iogr-453	41	15	as	as	ADP
iogr-453	41	16	input	input	NOUN
iogr-453	41	17	to	to	ADP
iogr-453	41	18	the	the	DET
iogr-453	41	19	classifier	classifier	NOUN
iogr-453	41	20	.	.	PUNCT
iogr-453	42	1	the	the	DET
iogr-453	42	2	classifier	classifier	NOUN
iogr-453	42	3	of	of	ADP
iogr-453	42	4	cnn	cnn	PROPN
iogr-453	42	5	generally	generally	ADV
iogr-453	42	6	uses	use	VERB
iogr-453	42	7	back	back	ADV
iogr-453	42	8	propagation	propagation	NOUN
iogr-453	42	9	(	(	PUNCT
iogr-453	42	10	bp	bp	PROPN
iogr-453	42	11	)	)	PUNCT
iogr-453	42	12	network	network	NOUN
iogr-453	42	13	(	(	PUNCT
iogr-453	42	14	cun	cun	PROPN
iogr-453	42	15	et	et	PROPN
iogr-453	42	16	al	al	PROPN
iogr-453	42	17	.	.	PROPN
iogr-453	42	18	1990	1990	NUM
iogr-453	42	19	;	;	PUNCT
iogr-453	42	20	simard	simard	PROPN
iogr-453	42	21	et	et	PROPN
iogr-453	42	22	al	al	PROPN
iogr-453	42	23	.	.	PROPN
iogr-453	42	24	2003	2003	NUM
iogr-453	42	25	)	)	PUNCT
iogr-453	42	26	and	and	CCONJ
iogr-453	42	27	radial	radial	ADJ
iogr-453	42	28	basis	basis	NOUN
iogr-453	42	29	function	function	NOUN
iogr-453	42	30	(	(	PUNCT
iogr-453	42	31	rbf	rbf	PROPN
iogr-453	42	32	)	)	PUNCT
iogr-453	42	33	network	network	NOUN
iogr-453	42	34	(	(	PUNCT
iogr-453	42	35	lecun	lecun	PROPN
iogr-453	42	36	et	et	PROPN
iogr-453	42	37	al	al	PROPN
iogr-453	42	38	.	.	PROPN
iogr-453	42	39	1998	1998	NUM
iogr-453	42	40	)	)	PUNCT
iogr-453	42	41	,	,	PUNCT
iogr-453	42	42	etc	etc	X
iogr-453	42	43	.	.	X
iogr-453	42	44	figure	figure	VERB
iogr-453	42	45	1	1	NUM
iogr-453	42	46	shows	show	VERB
iogr-453	42	47	a	a	DET
iogr-453	42	48	typical	typical	ADJ
iogr-453	42	49	structure	structure	NOUN
iogr-453	42	50	of	of	ADP
iogr-453	42	51	cnn	cnn	PROPN
iogr-453	42	52	with	with	ADP
iogr-453	42	53	two	two	NUM
iogr-453	42	54	feature	feature	NOUN
iogr-453	42	55	extraction	extraction	NOUN
iogr-453	42	56	stages	stage	NOUN
iogr-453	42	57	.	.	PUNCT
iogr-453	43	1	figure	figure	VERB
iogr-453	43	2	1	1	NUM
iogr-453	43	3	—	—	PUNCT
iogr-453	43	4	a	a	DET
iogr-453	43	5	typical	typical	ADJ
iogr-453	43	6	structure	structure	NOUN
iogr-453	43	7	of	of	ADP
iogr-453	43	8	cnn	cnn	PROPN
iogr-453	43	9	with	with	ADP
iogr-453	43	10	two	two	NUM
iogr-453	43	11	feature	feature	NOUN
iogr-453	43	12	extraction	extraction	NOUN
iogr-453	43	13	stages	stage	NOUN
iogr-453	43	14	.	.	PUNCT
iogr-453	44	1	convolution	convolution	NOUN
iogr-453	44	2	layer	layer	NOUN
iogr-453	44	3	.	.	PUNCT
iogr-453	45	1	a	a	DET
iogr-453	45	2	convolution	convolution	NOUN
iogr-453	45	3	layer	layer	NOUN
iogr-453	45	4	contains	contain	VERB
iogr-453	45	5	a	a	DET
iogr-453	45	6	series	series	NOUN
iogr-453	45	7	of	of	ADP
iogr-453	45	8	feature	feature	NOUN
iogr-453	45	9	maps	map	NOUN
iogr-453	45	10	,	,	PUNCT
iogr-453	45	11	each	each	PRON
iogr-453	45	12	of	of	ADP
iogr-453	45	13	which	which	PRON
iogr-453	45	14	is	be	AUX
iogr-453	45	15	connected	connect	VERB
iogr-453	45	16	to	to	ADP
iogr-453	45	17	one	one	NUM
iogr-453	45	18	or	or	CCONJ
iogr-453	45	19	more	more	ADJ
iogr-453	45	20	of	of	ADP
iogr-453	45	21	the	the	DET
iogr-453	45	22	feature	feature	NOUN
iogr-453	45	23	maps	map	NOUN
iogr-453	45	24	in	in	ADP
iogr-453	45	25	the	the	DET
iogr-453	45	26	previous	previous	ADJ
iogr-453	45	27	layer	layer	NOUN
iogr-453	45	28	by	by	ADP
iogr-453	45	29	a	a	DET
iogr-453	45	30	convolutional	convolutional	ADJ
iogr-453	45	31	kernel	kernel	NOUN
iogr-453	45	32	.	.	PUNCT
iogr-453	46	1	the	the	DET
iogr-453	46	2	convolutional	convolutional	ADJ
iogr-453	46	3	kernel	kernel	NOUN
iogr-453	46	4	of	of	ADP
iogr-453	46	5	k×k	k×k	PROPN
iogr-453	46	6	size	size	NOUN
iogr-453	46	7	defines	define	VERB
iogr-453	46	8	the	the	DET
iogr-453	46	9	connection	connection	NOUN
iogr-453	46	10	weight	weight	NOUN
iogr-453	46	11	.	.	PUNCT
iogr-453	47	1	for	for	ADP
iogr-453	47	2	cnn	cnn	PROPN
iogr-453	47	3	in	in	ADP
iogr-453	47	4	figure	figure	NOUN
iogr-453	47	5	1	1	NUM
iogr-453	47	6	,	,	PUNCT
iogr-453	47	7	a	a	DET
iogr-453	47	8	feature	feature	NOUN
iogr-453	47	9	map	map	NOUN
iogr-453	47	10	in	in	ADP
iogr-453	47	11	layer	layer	NOUN
iogr-453	47	12	c3	c3	PROPN
iogr-453	47	13	can	can	AUX
iogr-453	47	14	be	be	AUX
iogr-453	47	15	connected	connect	VERB
iogr-453	47	16	to	to	ADP
iogr-453	47	17	multiple	multiple	ADJ
iogr-453	47	18	feature	feature	NOUN
iogr-453	47	19	maps	map	NOUN
iogr-453	47	20	in	in	ADP
iogr-453	47	21	layer	layer	NOUN
iogr-453	47	22	s2	s2	PROPN
iogr-453	47	23	.	.	PUNCT
iogr-453	48	1	all	all	DET
iogr-453	48	2	neurons	neuron	NOUN
iogr-453	48	3	in	in	ADP
iogr-453	48	4	the	the	DET
iogr-453	48	5	same	same	ADJ
iogr-453	48	6	feature	feature	NOUN
iogr-453	48	7	map	map	NOUN
iogr-453	48	8	share	share	VERB
iogr-453	48	9	the	the	DET
iogr-453	48	10	same	same	ADJ
iogr-453	48	11	convolutional	convolutional	ADJ
iogr-453	48	12	kernel	kernel	NOUN
iogr-453	48	13	and	and	CCONJ
iogr-453	48	14	bias	bias	NOUN
iogr-453	48	15	,	,	PUNCT
iogr-453	48	16	and	and	CCONJ
iogr-453	48	17	the	the	DET
iogr-453	48	18	convolution	convolution	NOUN
iogr-453	48	19	kernel	kernel	NOUN
iogr-453	48	20	and	and	CCONJ
iogr-453	48	21	bias	bias	NOUN
iogr-453	48	22	are	be	AUX
iogr-453	48	23	determined	determine	VERB
iogr-453	48	24	by	by	ADP
iogr-453	48	25	training	training	NOUN
iogr-453	48	26	/	/	SYM
iogr-453	48	27	learning	learning	NOUN
iogr-453	48	28	method	method	NOUN
iogr-453	48	29	.	.	PUNCT
iogr-453	49	1	each	each	DET
iogr-453	49	2	neuron	neuron	NOUN
iogr-453	49	3	in	in	ADP
iogr-453	49	4	the	the	DET
iogr-453	49	5	convolution	convolution	NOUN
iogr-453	49	6	layer	layer	NOUN
iogr-453	49	7	extracts	extract	VERB
iogr-453	49	8	the	the	DET
iogr-453	49	9	local	local	ADJ
iogr-453	49	10	features	feature	NOUN
iogr-453	49	11	at	at	ADP
iogr-453	49	12	the	the	DET
iogr-453	49	13	same	same	ADJ
iogr-453	49	14	position	position	NOUN
iogr-453	49	15	in	in	ADP
iogr-453	49	16	the	the	DET
iogr-453	49	17	previous	previous	ADJ
iogr-453	49	18	part	part	NOUN
iogr-453	49	19	of	of	ADP
iogr-453	49	20	the	the	DET
iogr-453	49	21	feature	feature	NOUN
iogr-453	49	22	map	map	NOUN
iogr-453	49	23	by	by	ADP
iogr-453	49	24	convolution	convolution	NOUN
iogr-453	49	25	.	.	PUNCT
iogr-453	50	1	taking	take	VERB
iogr-453	50	2	the	the	DET
iogr-453	50	3	element	element	NOUN
iogr-453	50	4	of	of	ADP
iogr-453	50	5	the	the	DET
iogr-453	50	6	jth	jth	PROPN
iogr-453	50	7	feature	feature	NOUN
iogr-453	50	8	map	map	NOUN
iogr-453	50	9	of	of	ADP
iogr-453	50	10	the	the	DET
iogr-453	50	11	ith	ith	PROPN
iogr-453	50	12	convolution	convolution	NOUN
iogr-453	50	13	layer	layer	NOUN
iogr-453	50	14	as	as	ADP
iogr-453	50	15	an	an	DET
iogr-453	50	16	example	example	NOUN
iogr-453	50	17	,	,	PUNCT
iogr-453	50	18	the	the	DET
iogr-453	50	19	convolution	convolution	NOUN
iogr-453	50	20	operation	operation	NOUN
iogr-453	50	21	is	be	AUX
iogr-453	50	22	calculated	calculate	VERB
iogr-453	50	23	as	as	ADP
iogr-453	50	24	,	,	PUNCT
iogr-453	50	25	input	input	NOUN
iogr-453	50	26	6464	6464	NUM
iogr-453	50	27	c1	c1	PROPN
iogr-453	50	28	4@6060	4@6060	PROPN
iogr-453	50	29	s2	s2	NOUN
iogr-453	50	30	4@3030	4@3030	NUM
iogr-453	50	31	c3	c3	PROPN
iogr-453	50	32	14@2626	14@2626	NUM
iogr-453	50	33	s4	s4	PROPN
iogr-453	50	34	14@1313	14@1313	PUNCT
iogr-453	51	1	c5	c5	PROPN
iogr-453	51	2	120	120	NUM
iogr-453	51	3	f6	f6	PROPN
iogr-453	51	4	84	84	NUM
iogr-453	51	5	output	output	NOUN
iogr-453	51	6	8	8	NUM
iogr-453	51	7	convolutions	convolution	NOUN
iogr-453	51	8	subsampling	subsample	VERB
iogr-453	51	9	convolutions	convolution	NOUN
iogr-453	51	10	subsampling	subsample	VERB
iogr-453	51	11	full	full	ADJ
iogr-453	51	12	connection	connection	NOUN
iogr-453	51	13	3	3	NUM
iogr-453	51	14	𝑜𝑖𝑗(𝑥	𝑜𝑖𝑗(𝑥	PROPN
iogr-453	51	15	,	,	PUNCT
iogr-453	51	16	𝑦	𝑦	NOUN
iogr-453	51	17	)	)	PUNCT
iogr-453	51	18	=	=	SYM
iogr-453	51	19	tanh	tanh	PROPN
iogr-453	51	20	[	[	PUNCT
iogr-453	51	21	𝑏𝑖𝑗	𝑏𝑖𝑗	NOUN
iogr-453	51	22	+	+	CCONJ
iogr-453	51	23	∑	∑	PROPN
iogr-453	51	24	∑	∑	PROPN
iogr-453	51	25	∑	∑	PUNCT
iogr-453	51	26	𝑤𝑖𝑗𝑘(𝑟	𝑤𝑖𝑗𝑘(𝑟	PROPN
iogr-453	51	27	,	,	PUNCT
iogr-453	51	28	𝑐)𝑜(𝑖−1)𝑘(𝑥	𝑐)𝑜(𝑖−1)𝑘(𝑥	NOUN
iogr-453	51	29	+	+	SYM
iogr-453	51	30	𝑟	𝑟	X
iogr-453	51	31	,	,	PUNCT
iogr-453	51	32	𝑦	𝑦	NOUN
iogr-453	51	33	+	+	SYM
iogr-453	51	34	𝑐	𝑐	X
iogr-453	51	35	)	)	PUNCT
iogr-453	51	36	𝐶𝑖	𝐶𝑖	PROPN
iogr-453	51	37	𝑐=0	𝑐=0	X
iogr-453	51	38	𝑅𝑖−1	𝑅𝑖−1	NOUN
iogr-453	51	39	𝑟=0	𝑟=0	PUNCT
iogr-453	51	40	𝑘∈𝐾𝑖𝑗	𝑘∈𝐾𝑖𝑗	NOUN
iogr-453	51	41	]	]	PUNCT
iogr-453	51	42	,	,	PUNCT
iogr-453	51	43	…	…	PUNCT
iogr-453	51	44	…	…	PUNCT
iogr-453	51	45	…	…	PUNCT
iogr-453	51	46	…	…	PUNCT
iogr-453	51	47	…	…	PUNCT
iogr-453	51	48	…	…	PUNCT
iogr-453	51	49	(	(	PUNCT
iogr-453	51	50	1	1	NUM
iogr-453	51	51	)	)	PUNCT
iogr-453	51	52	where	where	SCONJ
iogr-453	51	53	tanh	tanh	PROPN
iogr-453	51	54	denotes	denote	VERB
iogr-453	51	55	the	the	DET
iogr-453	51	56	hyperbolic	hyperbolic	ADJ
iogr-453	51	57	tangent	tangent	NOUN
iogr-453	51	58	activation	activation	NOUN
iogr-453	51	59	function	function	NOUN
iogr-453	51	60	;	;	PUNCT
iogr-453	51	61	bij	bij	NOUN
iogr-453	51	62	denotes	denote	VERB
iogr-453	51	63	the	the	DET
iogr-453	51	64	bias	bias	NOUN
iogr-453	51	65	parameter	parameter	NOUN
iogr-453	51	66	of	of	ADP
iogr-453	51	67	the	the	DET
iogr-453	51	68	feature	feature	NOUN
iogr-453	51	69	map	map	NOUN
iogr-453	51	70	;	;	PUNCT
iogr-453	51	71	kij	kij	PROPN
iogr-453	51	72	denotes	denote	VERB
iogr-453	51	73	the	the	DET
iogr-453	51	74	set	set	NOUN
iogr-453	51	75	of	of	ADP
iogr-453	51	76	feature	feature	NOUN
iogr-453	51	77	maps	map	NOUN
iogr-453	51	78	in	in	ADP
iogr-453	51	79	the	the	DET
iogr-453	51	80	(	(	PUNCT
iogr-453	51	81	i-1)th	i-1)th	ADJ
iogr-453	51	82	layer	layer	NOUN
iogr-453	51	83	connected	connect	VERB
iogr-453	51	84	to	to	ADP
iogr-453	51	85	oij	oij	NUM
iogr-453	51	86	;	;	PUNCT
iogr-453	51	87	wijk	wijk	PROPN
iogr-453	51	88	denotes	denote	VERB
iogr-453	51	89	the	the	DET
iogr-453	51	90	convolution	convolution	NOUN
iogr-453	51	91	kernel	kernel	NOUN
iogr-453	51	92	between	between	ADP
iogr-453	51	93	the	the	DET
iogr-453	51	94	feature	feature	NOUN
iogr-453	51	95	map	map	NOUN
iogr-453	51	96	oij	oij	NOUN
iogr-453	51	97	and	and	CCONJ
iogr-453	51	98	the	the	DET
iogr-453	51	99	feature	feature	NOUN
iogr-453	51	100	map	map	NOUN
iogr-453	51	101	o(i-1,k	o(i-1,k	PROPN
iogr-453	51	102	)	)	PUNCT
iogr-453	51	103	;	;	PUNCT
iogr-453	51	104	ri	ri	PROPN
iogr-453	51	105	and	and	CCONJ
iogr-453	51	106	ci	ci	PROPN
iogr-453	51	107	denote	denote	VERB
iogr-453	51	108	the	the	DET
iogr-453	51	109	number	number	NOUN
iogr-453	51	110	of	of	ADP
iogr-453	51	111	rows	row	NOUN
iogr-453	51	112	and	and	CCONJ
iogr-453	51	113	the	the	DET
iogr-453	51	114	number	number	NOUN
iogr-453	51	115	of	of	ADP
iogr-453	51	116	columns	column	NOUN
iogr-453	51	117	of	of	ADP
iogr-453	51	118	the	the	DET
iogr-453	51	119	convolution	convolution	NOUN
iogr-453	51	120	kernel	kernel	NOUN
iogr-453	51	121	correspondingly	correspondingly	ADV
iogr-453	51	122	.	.	PUNCT
iogr-453	52	1	assuming	assume	VERB
iogr-453	52	2	that	that	SCONJ
iogr-453	52	3	the	the	DET
iogr-453	52	4	size	size	NOUN
iogr-453	52	5	of	of	ADP
iogr-453	52	6	the	the	DET
iogr-453	52	7	feature	feature	NOUN
iogr-453	52	8	map	map	NOUN
iogr-453	52	9	in	in	ADP
iogr-453	52	10	(	(	PUNCT
iogr-453	52	11	i-1)th	i-1)th	NOUN
iogr-453	52	12	layer	layer	NOUN
iogr-453	52	13	is	be	AUX
iogr-453	52	14	n1×n2	n1×n2	NOUN
iogr-453	52	15	.	.	PUNCT
iogr-453	53	1	if	if	SCONJ
iogr-453	53	2	we	we	PRON
iogr-453	53	3	do	do	VERB
iogr-453	53	4	convolution	convolution	NOUN
iogr-453	53	5	operation	operation	NOUN
iogr-453	53	6	to	to	ADP
iogr-453	53	7	the	the	DET
iogr-453	53	8	feature	feature	NOUN
iogr-453	53	9	map	map	NOUN
iogr-453	53	10	using	use	VERB
iogr-453	53	11	a	a	DET
iogr-453	53	12	l1×l2	l1×l2	ADJ
iogr-453	53	13	convolution	convolution	NOUN
iogr-453	53	14	kernel	kernel	NOUN
iogr-453	53	15	,	,	PUNCT
iogr-453	53	16	the	the	DET
iogr-453	53	17	size	size	NOUN
iogr-453	53	18	of	of	ADP
iogr-453	53	19	feature	feature	NOUN
iogr-453	53	20	map	map	NOUN
iogr-453	53	21	obtained	obtain	VERB
iogr-453	53	22	for	for	ADP
iogr-453	53	23	the	the	DET
iogr-453	53	24	ith	ith	PROPN
iogr-453	53	25	layer	layer	NOUN
iogr-453	53	26	is	be	AUX
iogr-453	53	27	(	(	PUNCT
iogr-453	53	28	n1l1	n1l1	X
iogr-453	53	29	+	+	ADJ
iogr-453	53	30	1)×(n2	1)×(n2	ADJ
iogr-453	53	31	-	-	PUNCT
iogr-453	53	32	l2	l2	NOUN
iogr-453	53	33	+	+	NOUN
iogr-453	53	34	1	1	NUM
iogr-453	53	35	)	)	PUNCT
iogr-453	53	36	.	.	PUNCT
iogr-453	54	1	we	we	PRON
iogr-453	54	2	can	can	AUX
iogr-453	54	3	see	see	VERB
iogr-453	54	4	that	that	SCONJ
iogr-453	54	5	the	the	DET
iogr-453	54	6	convolution	convolution	NOUN
iogr-453	54	7	operation	operation	NOUN
iogr-453	54	8	can	can	AUX
iogr-453	54	9	reduce	reduce	VERB
iogr-453	54	10	the	the	DET
iogr-453	54	11	dimension	dimension	NOUN
iogr-453	54	12	of	of	ADP
iogr-453	54	13	the	the	DET
iogr-453	54	14	data	datum	NOUN
iogr-453	54	15	.	.	PUNCT
iogr-453	55	1	generally	generally	ADV
iogr-453	55	2	,	,	PUNCT
iogr-453	55	3	the	the	DET
iogr-453	55	4	size	size	NOUN
iogr-453	55	5	of	of	ADP
iogr-453	55	6	the	the	DET
iogr-453	55	7	convolution	convolution	NOUN
iogr-453	55	8	kernel	kernel	NOUN
iogr-453	55	9	is	be	AUX
iogr-453	55	10	5×5	5×5	NUM
iogr-453	55	11	.	.	PUNCT
iogr-453	56	1	if	if	SCONJ
iogr-453	56	2	the	the	DET
iogr-453	56	3	size	size	NOUN
iogr-453	56	4	of	of	ADP
iogr-453	56	5	the	the	DET
iogr-453	56	6	convolution	convolution	NOUN
iogr-453	56	7	kernel	kernel	NOUN
iogr-453	56	8	is	be	AUX
iogr-453	56	9	too	too	ADV
iogr-453	56	10	small	small	ADJ
iogr-453	56	11	,	,	PUNCT
iogr-453	56	12	it	it	PRON
iogr-453	56	13	can	can	AUX
iogr-453	56	14	not	not	PART
iogr-453	56	15	obtain	obtain	VERB
iogr-453	56	16	the	the	DET
iogr-453	56	17	local	local	ADJ
iogr-453	56	18	characteristics	characteristic	NOUN
iogr-453	56	19	between	between	ADP
iogr-453	56	20	the	the	DET
iogr-453	56	21	adjacent	adjacent	ADJ
iogr-453	56	22	regions	region	NOUN
iogr-453	56	23	of	of	ADP
iogr-453	56	24	the	the	DET
iogr-453	56	25	image	image	NOUN
iogr-453	56	26	.	.	PUNCT
iogr-453	57	1	but	but	CCONJ
iogr-453	57	2	if	if	SCONJ
iogr-453	57	3	the	the	DET
iogr-453	57	4	size	size	NOUN
iogr-453	57	5	is	be	AUX
iogr-453	57	6	too	too	ADV
iogr-453	57	7	large	large	ADJ
iogr-453	57	8	,	,	PUNCT
iogr-453	57	9	the	the	DET
iogr-453	57	10	calculation	calculation	NOUN
iogr-453	57	11	budget	budget	NOUN
iogr-453	57	12	of	of	ADP
iogr-453	57	13	the	the	DET
iogr-453	57	14	convolution	convolution	NOUN
iogr-453	57	15	operation	operation	NOUN
iogr-453	57	16	will	will	AUX
iogr-453	57	17	be	be	AUX
iogr-453	57	18	increased	increase	VERB
iogr-453	57	19	and	and	CCONJ
iogr-453	57	20	the	the	DET
iogr-453	57	21	calculation	calculation	NOUN
iogr-453	57	22	speed	speed	NOUN
iogr-453	57	23	will	will	AUX
iogr-453	57	24	be	be	AUX
iogr-453	57	25	slow	slow	ADJ
iogr-453	57	26	.	.	PUNCT
iogr-453	58	1	sub	sub	ADJ
iogr-453	58	2	-	-	ADJ
iogr-453	58	3	sampling	sample	VERB
iogr-453	58	4	layer	layer	NOUN
iogr-453	58	5	.	.	PUNCT
iogr-453	59	1	the	the	DET
iogr-453	59	2	sub	sub	ADJ
iogr-453	59	3	-	-	ADJ
iogr-453	59	4	sampling	sample	VERB
iogr-453	59	5	layer	layer	NOUN
iogr-453	59	6	uses	use	VERB
iogr-453	59	7	the	the	DET
iogr-453	59	8	region	region	NOUN
iogr-453	59	9	filter	filter	NOUN
iogr-453	59	10	to	to	PART
iogr-453	59	11	reduce	reduce	VERB
iogr-453	59	12	the	the	DET
iogr-453	59	13	resolution	resolution	NOUN
iogr-453	59	14	of	of	ADP
iogr-453	59	15	the	the	DET
iogr-453	59	16	feature	feature	NOUN
iogr-453	59	17	map	map	NOUN
iogr-453	59	18	in	in	ADP
iogr-453	59	19	the	the	DET
iogr-453	59	20	convolution	convolution	NOUN
iogr-453	59	21	layer	layer	NOUN
iogr-453	59	22	.	.	PUNCT
iogr-453	60	1	the	the	DET
iogr-453	60	2	sub	sub	ADJ
iogr-453	60	3	-	-	ADJ
iogr-453	60	4	sampling	sample	VERB
iogr-453	60	5	operation	operation	NOUN
iogr-453	60	6	can	can	AUX
iogr-453	60	7	extract	extract	VERB
iogr-453	60	8	the	the	DET
iogr-453	60	9	important	important	ADJ
iogr-453	60	10	features	feature	NOUN
iogr-453	60	11	for	for	ADP
iogr-453	60	12	classification	classification	NOUN
iogr-453	60	13	,	,	PUNCT
iogr-453	60	14	and	and	CCONJ
iogr-453	60	15	ignore	ignore	VERB
iogr-453	60	16	the	the	DET
iogr-453	60	17	useless	useless	ADJ
iogr-453	60	18	details	detail	NOUN
iogr-453	60	19	and	and	CCONJ
iogr-453	60	20	noise	noise	NOUN
iogr-453	60	21	.	.	PUNCT
iogr-453	61	1	this	this	PRON
iogr-453	61	2	gives	give	VERB
iogr-453	61	3	cnn	cnn	PROPN
iogr-453	61	4	a	a	DET
iogr-453	61	5	good	good	ADJ
iogr-453	61	6	noise	noise	NOUN
iogr-453	61	7	resistance	resistance	NOUN
iogr-453	61	8	ability	ability	NOUN
iogr-453	61	9	.	.	PUNCT
iogr-453	62	1	the	the	DET
iogr-453	62	2	feature	feature	NOUN
iogr-453	62	3	maps	map	NOUN
iogr-453	62	4	of	of	ADP
iogr-453	62	5	the	the	DET
iogr-453	62	6	sub	sub	ADJ
iogr-453	62	7	-	-	ADJ
iogr-453	62	8	sampling	sample	VERB
iogr-453	62	9	layer	layer	NOUN
iogr-453	62	10	are	be	AUX
iogr-453	62	11	one	one	NUM
iogr-453	62	12	-	-	PUNCT
iogr-453	62	13	to	to	ADP
iogr-453	62	14	-	-	PUNCT
iogr-453	62	15	one	one	NUM
iogr-453	62	16	corresponding	corresponding	NOUN
iogr-453	62	17	to	to	ADP
iogr-453	62	18	the	the	DET
iogr-453	62	19	feature	feature	NOUN
iogr-453	62	20	maps	map	NOUN
iogr-453	62	21	of	of	ADP
iogr-453	62	22	the	the	DET
iogr-453	62	23	previous	previous	ADJ
iogr-453	62	24	convolution	convolution	NOUN
iogr-453	62	25	layer	layer	NOUN
iogr-453	62	26	.	.	PUNCT
iogr-453	63	1	assuming	assume	VERB
iogr-453	63	2	the	the	DET
iogr-453	63	3	resolution	resolution	NOUN
iogr-453	63	4	of	of	ADP
iogr-453	63	5	the	the	DET
iogr-453	63	6	sub	sub	ADJ
iogr-453	63	7	-	-	ADJ
iogr-453	63	8	sampling	sample	VERB
iogr-453	63	9	operation	operation	NOUN
iogr-453	63	10	is	be	AUX
iogr-453	63	11	n	n	CCONJ
iogr-453	63	12	,	,	PUNCT
iogr-453	63	13	the	the	DET
iogr-453	63	14	resolution	resolution	NOUN
iogr-453	63	15	of	of	ADP
iogr-453	63	16	feature	feature	NOUN
iogr-453	63	17	map	map	NOUN
iogr-453	63	18	in	in	ADP
iogr-453	63	19	sub	sub	ADJ
iogr-453	63	20	-	-	ADJ
iogr-453	63	21	sampling	sample	VERB
iogr-453	63	22	layer	layer	NOUN
iogr-453	63	23	becomes	become	VERB
iogr-453	63	24	the	the	DET
iogr-453	63	25	1	1	NUM
iogr-453	63	26	/	/	SYM
iogr-453	63	27	n2	n2	NOUN
iogr-453	63	28	of	of	ADP
iogr-453	63	29	the	the	DET
iogr-453	63	30	original	original	ADJ
iogr-453	63	31	map	map	NOUN
iogr-453	63	32	.	.	PUNCT
iogr-453	64	1	the	the	DET
iogr-453	64	2	sub	sub	ADJ
iogr-453	64	3	-	-	ADJ
iogr-453	64	4	sampling	sample	VERB
iogr-453	64	5	operation	operation	NOUN
iogr-453	64	6	can	can	AUX
iogr-453	64	7	decrease	decrease	VERB
iogr-453	64	8	the	the	DET
iogr-453	64	9	number	number	NOUN
iogr-453	64	10	of	of	ADP
iogr-453	64	11	data	datum	NOUN
iogr-453	64	12	significantly	significantly	ADV
iogr-453	64	13	.	.	PUNCT
iogr-453	65	1	there	there	PRON
iogr-453	65	2	are	be	VERB
iogr-453	65	3	two	two	NUM
iogr-453	65	4	main	main	ADJ
iogr-453	65	5	sub	sub	ADJ
iogr-453	65	6	-	-	ADJ
iogr-453	65	7	sampling	sample	VERB
iogr-453	65	8	methods	method	NOUN
iogr-453	65	9	,	,	PUNCT
iogr-453	65	10	the	the	DET
iogr-453	65	11	mean	mean	ADJ
iogr-453	65	12	sampling	sampling	NOUN
iogr-453	65	13	,	,	PUNCT
iogr-453	65	14	and	and	CCONJ
iogr-453	65	15	the	the	DET
iogr-453	65	16	maximum	maximum	ADJ
iogr-453	65	17	sampling	sampling	NOUN
iogr-453	65	18	.	.	PUNCT
iogr-453	66	1	the	the	DET
iogr-453	66	2	sub	sub	ADJ
iogr-453	66	3	-	-	ADJ
iogr-453	66	4	sampling	sample	VERB
iogr-453	66	5	operation	operation	NOUN
iogr-453	66	6	makes	make	VERB
iogr-453	66	7	the	the	DET
iogr-453	66	8	output	output	NOUN
iogr-453	66	9	of	of	ADP
iogr-453	66	10	the	the	DET
iogr-453	66	11	convolution	convolution	NOUN
iogr-453	66	12	neural	neural	ADJ
iogr-453	66	13	network	network	NOUN
iogr-453	66	14	invariance	invariance	NOUN
iogr-453	66	15	in	in	ADP
iogr-453	66	16	spatial	spatial	NOUN
iogr-453	66	17	.	.	PUNCT
iogr-453	67	1	taking	take	VERB
iogr-453	67	2	the	the	DET
iogr-453	67	3	element	element	NOUN
iogr-453	67	4	of	of	ADP
iogr-453	67	5	the	the	DET
iogr-453	67	6	jth	jth	PROPN
iogr-453	67	7	feature	feature	NOUN
iogr-453	67	8	map	map	NOUN
iogr-453	67	9	of	of	ADP
iogr-453	67	10	the	the	DET
iogr-453	67	11	ith	ith	NOUN
iogr-453	67	12	layer	layer	NOUN
iogr-453	67	13	as	as	ADP
iogr-453	67	14	an	an	DET
iogr-453	67	15	example	example	NOUN
iogr-453	67	16	,	,	PUNCT
iogr-453	67	17	the	the	DET
iogr-453	67	18	subsampling	subsample	VERB
iogr-453	67	19	operation	operation	NOUN
iogr-453	67	20	is	be	AUX
iogr-453	67	21	calculated	calculate	VERB
iogr-453	67	22	as	as	ADP
iogr-453	67	23	follows	follow	VERB
iogr-453	67	24	.	.	PUNCT
iogr-453	68	1	𝑜𝑖𝑗(𝑥	𝑜𝑖𝑗(𝑥	X
iogr-453	68	2	,	,	PUNCT
iogr-453	68	3	𝑦	𝑦	NOUN
iogr-453	68	4	)	)	PUNCT
iogr-453	68	5	=	=	SYM
iogr-453	68	6	tanh	tanh	PROPN
iogr-453	69	1	[	[	X
iogr-453	69	2	𝑏𝑖𝑗	𝑏𝑖𝑗	NOUN
iogr-453	69	3	+	+	CCONJ
iogr-453	69	4	𝑔𝑖𝑗	𝑔𝑖𝑗	VERB
iogr-453	69	5	∑	∑	PROPN
iogr-453	69	6	∑	∑	PUNCT
iogr-453	69	7	𝑜(𝑖−1)𝑗(𝑥𝑁𝑖	𝑜(𝑖−1)𝑗(𝑥𝑁𝑖	PROPN
iogr-453	70	1	+	+	NUM
iogr-453	70	2	𝑟	𝑟	NOUN
iogr-453	70	3	,	,	PUNCT
iogr-453	70	4	𝑦𝑁𝑖	𝑦𝑁𝑖	NOUN
iogr-453	70	5	+	+	NOUN
iogr-453	70	6	𝑐	𝑐	X
iogr-453	70	7	)	)	PUNCT
iogr-453	70	8	𝑁𝑖−1	𝑁𝑖−1	PROPN
iogr-453	70	9	𝑐=0	𝑐=0	PROPN
iogr-453	70	10	𝑁𝑖−1	𝑁𝑖−1	PROPN
iogr-453	70	11	𝑟=0	𝑟=0	NUM
iogr-453	70	12	]	]	PUNCT
iogr-453	70	13	,	,	PUNCT
iogr-453	70	14	…	…	PUNCT
iogr-453	70	15	…	…	PUNCT
iogr-453	70	16	…	…	PUNCT
iogr-453	70	17	…	…	PUNCT
iogr-453	70	18	…	…	PUNCT
iogr-453	70	19	…	…	PUNCT
iogr-453	70	20	…	…	PUNCT
iogr-453	70	21	…	…	PUNCT
iogr-453	70	22	…	…	PUNCT
iogr-453	70	23	........	........	PUNCT
iogr-453	70	24	(	(	PUNCT
iogr-453	70	25	2	2	X
iogr-453	70	26	)	)	PUNCT
iogr-453	70	27	where	where	SCONJ
iogr-453	70	28	gij	gij	NOUN
iogr-453	70	29	denotes	denote	VERB
iogr-453	70	30	the	the	DET
iogr-453	70	31	gain	gain	NOUN
iogr-453	70	32	parameter	parameter	NOUN
iogr-453	70	33	of	of	ADP
iogr-453	70	34	the	the	DET
iogr-453	70	35	feature	feature	NOUN
iogr-453	70	36	map	map	NOUN
iogr-453	70	37	oij	oij	NUM
iogr-453	70	38	;	;	PUNCT
iogr-453	70	39	ni	ni	PROPN
iogr-453	70	40	denotes	denote	VERB
iogr-453	70	41	the	the	DET
iogr-453	70	42	sub	sub	ADJ
iogr-453	70	43	-	-	ADJ
iogr-453	70	44	sampling	sample	VERB
iogr-453	70	45	rate	rate	NOUN
iogr-453	70	46	of	of	ADP
iogr-453	70	47	the	the	DET
iogr-453	70	48	ith	ith	NOUN
iogr-453	70	49	layer	layer	NOUN
iogr-453	70	50	.	.	PUNCT
iogr-453	71	1	the	the	DET
iogr-453	71	2	step	step	NOUN
iogr-453	71	3	size	size	NOUN
iogr-453	71	4	of	of	ADP
iogr-453	71	5	the	the	DET
iogr-453	71	6	feature	feature	NOUN
iogr-453	71	7	combination	combination	NOUN
iogr-453	71	8	is	be	AUX
iogr-453	71	9	equal	equal	ADJ
iogr-453	71	10	to	to	ADP
iogr-453	71	11	the	the	DET
iogr-453	71	12	side	side	NOUN
iogr-453	71	13	length	length	NOUN
iogr-453	71	14	of	of	ADP
iogr-453	71	15	the	the	DET
iogr-453	71	16	sub	sub	ADJ
iogr-453	71	17	-	-	ADJ
iogr-453	71	18	sampling	sample	VERB
iogr-453	71	19	operation	operation	NOUN
iogr-453	71	20	,	,	PUNCT
iogr-453	71	21	and	and	CCONJ
iogr-453	71	22	ni>1	ni>1	NOUN
iogr-453	71	23	.	.	PUNCT
iogr-453	72	1	assuming	assume	VERB
iogr-453	72	2	that	that	SCONJ
iogr-453	72	3	the	the	DET
iogr-453	72	4	size	size	NOUN
iogr-453	72	5	of	of	ADP
iogr-453	72	6	the	the	DET
iogr-453	72	7	feature	feature	NOUN
iogr-453	72	8	map	map	NOUN
iogr-453	72	9	of	of	ADP
iogr-453	72	10	the	the	DET
iogr-453	72	11	(	(	PUNCT
iogr-453	72	12	i-1)th	i-1)th	ADJ
iogr-453	72	13	layer	layer	NOUN
iogr-453	72	14	is	be	AUX
iogr-453	72	15	n1×n2	n1×n2	NOUN
iogr-453	72	16	,	,	PUNCT
iogr-453	72	17	the	the	DET
iogr-453	72	18	ith	ith	NOUN
iogr-453	72	19	layer	layer	NOUN
iogr-453	72	20	is	be	AUX
iogr-453	72	21	obtained	obtain	VERB
iogr-453	72	22	through	through	ADP
iogr-453	72	23	a	a	DET
iogr-453	72	24	sub	sub	ADJ
iogr-453	72	25	-	-	ADJ
iogr-453	72	26	sampling	sample	VERB
iogr-453	72	27	operation	operation	NOUN
iogr-453	72	28	with	with	ADP
iogr-453	72	29	a	a	DET
iogr-453	72	30	l×l	l×l	PRON
iogr-453	72	31	sub	sub	ADJ
iogr-453	72	32	-	-	ADJ
iogr-453	72	33	sampling	sample	VERB
iogr-453	72	34	rate	rate	NOUN
iogr-453	72	35	.	.	PUNCT
iogr-453	73	1	then	then	ADV
iogr-453	73	2	the	the	DET
iogr-453	73	3	size	size	NOUN
iogr-453	73	4	of	of	ADP
iogr-453	73	5	the	the	DET
iogr-453	73	6	ith	ith	NOUN
iogr-453	73	7	layer	layer	NOUN
iogr-453	73	8	should	should	AUX
iogr-453	73	9	be	be	AUX
iogr-453	73	10	n1	n1	NOUN
iogr-453	73	11	/	/	SYM
iogr-453	73	12	l×n2	l×n2	X
iogr-453	73	13	/	/	SYM
iogr-453	73	14	l	l	NOUN
iogr-453	73	15	,	,	PUNCT
iogr-453	73	16	where	where	SCONJ
iogr-453	73	17			PROPN
iogr-453	73	18			PROPN
iogr-453	73	19	denotes	denote	NOUN
iogr-453	73	20	rounded	round	VERB
iogr-453	73	21	down	down	ADP
iogr-453	73	22	operation	operation	NOUN
iogr-453	73	23	.	.	PUNCT
iogr-453	74	1	classifier	classifier	PROPN
iogr-453	74	2	.	.	PUNCT
iogr-453	75	1	cnn	cnn	PROPN
iogr-453	75	2	extracts	extract	VERB
iogr-453	75	3	the	the	DET
iogr-453	75	4	feature	feature	NOUN
iogr-453	75	5	of	of	ADP
iogr-453	75	6	the	the	DET
iogr-453	75	7	input	input	NOUN
iogr-453	75	8	image	image	NOUN
iogr-453	75	9	and	and	CCONJ
iogr-453	75	10	reduces	reduce	VERB
iogr-453	75	11	the	the	DET
iogr-453	75	12	dimension	dimension	NOUN
iogr-453	75	13	of	of	ADP
iogr-453	75	14	data	datum	NOUN
iogr-453	75	15	through	through	ADP
iogr-453	75	16	the	the	DET
iogr-453	75	17	convolution	convolution	NOUN
iogr-453	75	18	operation	operation	NOUN
iogr-453	75	19	and	and	CCONJ
iogr-453	75	20	sub	sub	ADJ
iogr-453	75	21	-	-	ADJ
iogr-453	75	22	sampling	sample	VERB
iogr-453	75	23	operation	operation	NOUN
iogr-453	75	24	in	in	ADP
iogr-453	75	25	its	its	PRON
iogr-453	75	26	hidden	hidden	ADJ
iogr-453	75	27	layers	layer	NOUN
iogr-453	75	28	.	.	PUNCT
iogr-453	76	1	that	that	PRON
iogr-453	76	2	makes	make	VERB
iogr-453	76	3	cnn	cnn	PROPN
iogr-453	76	4	can	can	AUX
iogr-453	76	5	obtain	obtain	VERB
iogr-453	76	6	the	the	DET
iogr-453	76	7	effective	effective	ADJ
iogr-453	76	8	features	feature	NOUN
iogr-453	76	9	and	and	CCONJ
iogr-453	76	10	filtering	filter	VERB
iogr-453	76	11	the	the	DET
iogr-453	76	12	interference	interference	NOUN
iogr-453	76	13	information	information	NOUN
iogr-453	76	14	for	for	ADP
iogr-453	76	15	identification	identification	NOUN
iogr-453	76	16	and	and	CCONJ
iogr-453	76	17	classification	classification	NOUN
iogr-453	76	18	.	.	PUNCT
iogr-453	77	1	because	because	SCONJ
iogr-453	77	2	cnn	cnn	PROPN
iogr-453	77	3	uses	use	VERB
iogr-453	77	4	the	the	DET
iogr-453	77	5	backpropagation	backpropagation	NOUN
iogr-453	77	6	algorithm	algorithm	NOUN
iogr-453	77	7	to	to	PART
iogr-453	77	8	train	train	VERB
iogr-453	77	9	the	the	DET
iogr-453	77	10	weight	weight	NOUN
iogr-453	77	11	of	of	ADP
iogr-453	77	12	the	the	DET
iogr-453	77	13	entire	entire	ADJ
iogr-453	77	14	network	network	NOUN
iogr-453	77	15	,	,	PUNCT
iogr-453	77	16	so	so	SCONJ
iogr-453	77	17	the	the	DET
iogr-453	77	18	classifier	classifier	NOUN
iogr-453	77	19	for	for	ADP
iogr-453	77	20	cnn	cnn	PROPN
iogr-453	77	21	usually	usually	ADV
iogr-453	77	22	chooses	choose	VERB
iogr-453	77	23	the	the	DET
iogr-453	77	24	fully	fully	ADV
iogr-453	77	25	connected	connect	VERB
iogr-453	77	26	bp	bp	PROPN
iogr-453	77	27	network	network	NOUN
iogr-453	77	28	classifier	classifier	NOUN
iogr-453	77	29	(	(	PUNCT
iogr-453	77	30	cun	cun	PROPN
iogr-453	77	31	et	et	PROPN
iogr-453	77	32	al	al	PROPN
iogr-453	77	33	.	.	PROPN
iogr-453	77	34	1990	1990	NUM
iogr-453	77	35	;	;	PUNCT
iogr-453	77	36	simard	simard	PROPN
iogr-453	77	37	et	et	PROPN
iogr-453	77	38	al	al	PROPN
iogr-453	77	39	.	.	PROPN
iogr-453	77	40	2003	2003	NUM
iogr-453	77	41	)	)	PUNCT
iogr-453	77	42	,	,	PUNCT
iogr-453	77	43	polynomial	polynomial	ADJ
iogr-453	77	44	logic	logic	NOUN
iogr-453	77	45	regression	regression	NOUN
iogr-453	77	46	classifier	classifier	NOUN
iogr-453	77	47	(	(	PUNCT
iogr-453	77	48	jarrett	jarrett	PROPN
iogr-453	77	49	et	et	PROPN
iogr-453	77	50	al	al	PROPN
iogr-453	77	51	.	.	PROPN
iogr-453	77	52	2010	2010	NUM
iogr-453	77	53	)	)	PUNCT
iogr-453	77	54	,	,	PUNCT
iogr-453	77	55	radial	radial	ADJ
iogr-453	77	56	basis	basis	NOUN
iogr-453	77	57	function	function	NOUN
iogr-453	77	58	network	network	NOUN
iogr-453	77	59	classifier	classifier	NOUN
iogr-453	77	60	(	(	PUNCT
iogr-453	77	61	lecun	lecun	PROPN
iogr-453	77	62	et	et	PROPN
iogr-453	77	63	al	al	PROPN
iogr-453	77	64	.	.	PROPN
iogr-453	77	65	1998	1998	NUM
iogr-453	77	66	)	)	PUNCT
iogr-453	77	67	,	,	PUNCT
iogr-453	77	68	and	and	CCONJ
iogr-453	77	69	so	so	ADV
iogr-453	77	70	on	on	ADV
iogr-453	77	71	.	.	PUNCT
iogr-453	78	1	training	training	NOUN
iogr-453	78	2	of	of	ADP
iogr-453	78	3	cnn	cnn	PROPN
iogr-453	78	4	.	.	PUNCT
iogr-453	79	1	the	the	DET
iogr-453	79	2	cnn	cnn	PROPN
iogr-453	79	3	obtains	obtain	VERB
iogr-453	79	4	the	the	DET
iogr-453	79	5	mapping	mapping	NOUN
iogr-453	79	6	relationship	relationship	NOUN
iogr-453	79	7	between	between	ADP
iogr-453	79	8	input	input	NOUN
iogr-453	79	9	and	and	CCONJ
iogr-453	79	10	output	output	NOUN
iogr-453	79	11	through	through	ADP
iogr-453	79	12	learning	learn	VERB
iogr-453	79	13	.	.	PUNCT
iogr-453	80	1	this	this	DET
iogr-453	80	2	mapping	mapping	NOUN
iogr-453	80	3	relationship	relationship	NOUN
iogr-453	80	4	is	be	AUX
iogr-453	80	5	finally	finally	ADV
iogr-453	80	6	reflected	reflect	VERB
iogr-453	80	7	in	in	ADP
iogr-453	80	8	the	the	DET
iogr-453	80	9	network	network	NOUN
iogr-453	80	10	weight	weight	NOUN
iogr-453	80	11	,	,	PUNCT
iogr-453	80	12	which	which	PRON
iogr-453	80	13	makes	make	VERB
iogr-453	80	14	cnn	cnn	PROPN
iogr-453	80	15	have	have	VERB
iogr-453	80	16	the	the	DET
iogr-453	80	17	ability	ability	NOUN
iogr-453	80	18	to	to	PART
iogr-453	80	19	extract	extract	VERB
iogr-453	80	20	features	feature	NOUN
iogr-453	80	21	of	of	ADP
iogr-453	80	22	input	input	NOUN
iogr-453	80	23	data	data	NOUN
iogr-453	80	24	layer	layer	NOUN
iogr-453	80	25	by	by	ADP
iogr-453	80	26	layer	layer	NOUN
iogr-453	80	27	.	.	PUNCT
iogr-453	81	1	in	in	ADP
iogr-453	81	2	this	this	DET
iogr-453	81	3	paper	paper	NOUN
iogr-453	81	4	,	,	PUNCT
iogr-453	81	5	a	a	DET
iogr-453	81	6	supervised	supervise	VERB
iogr-453	81	7	error	error	NOUN
iogr-453	81	8	backpropagation	backpropagation	NOUN
iogr-453	81	9	algorithm	algorithm	NOUN
iogr-453	81	10	is	be	AUX
iogr-453	81	11	used	use	VERB
iogr-453	81	12	to	to	PART
iogr-453	81	13	train	train	VERB
iogr-453	81	14	the	the	DET
iogr-453	81	15	cnn	cnn	PROPN
iogr-453	81	16	network	network	NOUN
iogr-453	81	17	.	.	PUNCT
iogr-453	82	1	the	the	DET
iogr-453	82	2	sum	sum	NOUN
iogr-453	82	3	of	of	ADP
iogr-453	82	4	squared	square	VERB
iogr-453	82	5	the	the	DET
iogr-453	82	6	output	output	NOUN
iogr-453	82	7	errors	error	NOUN
iogr-453	82	8	is	be	AUX
iogr-453	82	9	used	use	VERB
iogr-453	82	10	as	as	ADP
iogr-453	82	11	the	the	DET
iogr-453	82	12	system	system	NOUN
iogr-453	82	13	error	error	NOUN
iogr-453	82	14	function	function	NOUN
iogr-453	82	15	.	.	PUNCT
iogr-453	83	1	the	the	DET
iogr-453	83	2	weights	weight	NOUN
iogr-453	83	3	are	be	AUX
iogr-453	83	4	updated	update	VERB
iogr-453	83	5	according	accord	VERB
iogr-453	83	6	to	to	ADP
iogr-453	83	7	the	the	DET
iogr-453	83	8	error	error	NOUN
iogr-453	83	9	backpropagation	backpropagation	NOUN
iogr-453	83	10	algorithm	algorithm	NOUN
iogr-453	83	11	during	during	ADP
iogr-453	83	12	the	the	DET
iogr-453	83	13	training	training	NOUN
iogr-453	83	14	process	process	NOUN
iogr-453	83	15	.	.	PUNCT
iogr-453	84	1	the	the	DET
iogr-453	84	2	training	training	NOUN
iogr-453	84	3	process	process	NOUN
iogr-453	84	4	can	can	AUX
iogr-453	84	5	be	be	AUX
iogr-453	84	6	divided	divide	VERB
iogr-453	84	7	into	into	ADP
iogr-453	84	8	two	two	NUM
iogr-453	84	9	stages	stage	NOUN
iogr-453	84	10	,	,	PUNCT
iogr-453	84	11	they	they	PRON
iogr-453	84	12	are	be	AUX
iogr-453	84	13	,	,	PUNCT
iogr-453	84	14	the	the	DET
iogr-453	84	15	forward	forward	ADJ
iogr-453	84	16	propagation	propagation	NOUN
iogr-453	84	17	of	of	ADP
iogr-453	84	18	the	the	DET
iogr-453	84	19	input	input	NOUN
iogr-453	84	20	signal	signal	NOUN
iogr-453	84	21	and	and	CCONJ
iogr-453	84	22	the	the	DET
iogr-453	84	23	backpropagation	backpropagation	NOUN
iogr-453	84	24	of	of	ADP
iogr-453	84	25	the	the	DET
iogr-453	84	26	output	output	NOUN
iogr-453	84	27	error	error	NOUN
iogr-453	84	28	.	.	PUNCT
iogr-453	85	1	in	in	ADP
iogr-453	85	2	the	the	DET
iogr-453	85	3	process	process	NOUN
iogr-453	85	4	of	of	ADP
iogr-453	85	5	forward	forward	ADJ
iogr-453	85	6	propagation	propagation	NOUN
iogr-453	85	7	,	,	PUNCT
iogr-453	85	8	the	the	DET
iogr-453	85	9	sample	sample	NOUN
iogr-453	85	10	image	image	NOUN
iogr-453	85	11	data	datum	NOUN
iogr-453	85	12	is	be	AUX
iogr-453	85	13	input	input	VERB
iogr-453	85	14	directly	directly	ADV
iogr-453	85	15	into	into	ADP
iogr-453	85	16	the	the	DET
iogr-453	85	17	input	input	NOUN
iogr-453	85	18	layer	layer	NOUN
iogr-453	85	19	of	of	ADP
iogr-453	85	20	cnn	cnn	PROPN
iogr-453	85	21	,	,	PUNCT
iogr-453	85	22	and	and	CCONJ
iogr-453	85	23	the	the	DET
iogr-453	85	24	result	result	NOUN
iogr-453	85	25	is	be	AUX
iogr-453	85	26	extracted	extract	VERB
iogr-453	85	27	and	and	CCONJ
iogr-453	85	28	transformed	transform	VERB
iogr-453	85	29	by	by	ADP
iogr-453	85	30	layer	layer	NOUN
iogr-453	85	31	-	-	PUNCT
iogr-453	85	32	by	by	ADP
iogr-453	85	33	-	-	PUNCT
iogr-453	85	34	layer	layer	NOUN
iogr-453	85	35	of	of	ADP
iogr-453	85	36	the	the	DET
iogr-453	85	37	middle	middle	ADJ
iogr-453	85	38	hidden	hide	VERB
iogr-453	85	39	layer	layer	NOUN
iogr-453	85	40	,	,	PUNCT
iogr-453	85	41	and	and	CCONJ
iogr-453	85	42	finally	finally	ADV
iogr-453	85	43	to	to	ADP
iogr-453	85	44	the	the	DET
iogr-453	85	45	output	output	NOUN
iogr-453	85	46	layer	layer	NOUN
iogr-453	85	47	.	.	PUNCT
iogr-453	86	1	in	in	ADP
iogr-453	86	2	the	the	DET
iogr-453	86	3	backpropagation	backpropagation	NOUN
iogr-453	86	4	process	process	NOUN
iogr-453	86	5	,	,	PUNCT
iogr-453	86	6	the	the	DET
iogr-453	86	7	error	error	NOUN
iogr-453	86	8	between	between	ADP
iogr-453	86	9	4	4	NUM
iogr-453	86	10	the	the	DET
iogr-453	86	11	sample	sample	NOUN
iogr-453	86	12	label	label	NOUN
iogr-453	86	13	and	and	CCONJ
iogr-453	86	14	the	the	DET
iogr-453	86	15	forward	forward	ADV
iogr-453	86	16	propagated	propagate	VERB
iogr-453	86	17	output	output	NOUN
iogr-453	86	18	is	be	AUX
iogr-453	86	19	calculated	calculate	VERB
iogr-453	86	20	,	,	PUNCT
iogr-453	86	21	and	and	CCONJ
iogr-453	86	22	the	the	DET
iogr-453	86	23	weights	weight	NOUN
iogr-453	86	24	of	of	ADP
iogr-453	86	25	the	the	DET
iogr-453	86	26	entire	entire	ADJ
iogr-453	86	27	network	network	NOUN
iogr-453	86	28	are	be	AUX
iogr-453	86	29	adjusted	adjust	VERB
iogr-453	86	30	by	by	ADP
iogr-453	86	31	the	the	DET
iogr-453	86	32	backpropagation	backpropagation	NOUN
iogr-453	86	33	algorithm	algorithm	NOUN
iogr-453	86	34	to	to	PART
iogr-453	86	35	achieve	achieve	VERB
iogr-453	86	36	the	the	DET
iogr-453	86	37	best	good	ADJ
iogr-453	86	38	performance	performance	NOUN
iogr-453	86	39	.	.	PUNCT
iogr-453	87	1	the	the	DET
iogr-453	87	2	detailed	detailed	ADJ
iogr-453	87	3	training	training	NOUN
iogr-453	87	4	process	process	NOUN
iogr-453	87	5	of	of	ADP
iogr-453	87	6	cnn	cnn	PROPN
iogr-453	87	7	is	be	AUX
iogr-453	87	8	as	as	SCONJ
iogr-453	87	9	follows	follow	VERB
iogr-453	87	10	:	:	PUNCT
iogr-453	87	11	(	(	PUNCT
iogr-453	87	12	1	1	X
iogr-453	87	13	)	)	PUNCT
iogr-453	87	14	forward	forward	ADJ
iogr-453	87	15	propagation	propagation	NOUN
iogr-453	87	16	process	process	NOUN
iogr-453	87	17	a.	a.	NOUN
iogr-453	87	18	take	take	VERB
iogr-453	87	19	a	a	DET
iogr-453	87	20	sample	sample	NOUN
iogr-453	87	21	from	from	ADP
iogr-453	87	22	the	the	DET
iogr-453	87	23	training	training	NOUN
iogr-453	87	24	set	set	NOUN
iogr-453	87	25	(	(	PUNCT
iogr-453	87	26	x	x	NOUN
iogr-453	87	27	,	,	PUNCT
iogr-453	87	28	dp	dp	NOUN
iogr-453	87	29	)	)	PUNCT
iogr-453	87	30	and	and	CCONJ
iogr-453	87	31	put	put	VERB
iogr-453	87	32	the	the	DET
iogr-453	87	33	sample	sample	NOUN
iogr-453	87	34	data	datum	NOUN
iogr-453	87	35	x	x	PUNCT
iogr-453	87	36	into	into	ADP
iogr-453	87	37	cnn	cnn	PROPN
iogr-453	87	38	;	;	PUNCT
iogr-453	87	39	b.	b.	PROPN
iogr-453	87	40	forward	forward	ADJ
iogr-453	87	41	propagation	propagation	VERB
iogr-453	87	42	the	the	DET
iogr-453	87	43	input	input	NOUN
iogr-453	87	44	data	datum	NOUN
iogr-453	87	45	according	accord	VERB
iogr-453	87	46	to	to	ADP
iogr-453	87	47	the	the	DET
iogr-453	87	48	convolution	convolution	NOUN
iogr-453	87	49	operation	operation	NOUN
iogr-453	87	50	calculation	calculation	NOUN
iogr-453	87	51	eq	eq	ADP
iogr-453	87	52	.	.	PROPN
iogr-453	87	53	1	1	NUM
iogr-453	87	54	,	,	PUNCT
iogr-453	87	55	the	the	DET
iogr-453	87	56	sub	sub	ADJ
iogr-453	87	57	-	-	ADJ
iogr-453	87	58	sampling	sample	VERB
iogr-453	87	59	operation	operation	NOUN
iogr-453	87	60	calculation	calculation	NOUN
iogr-453	87	61	eq	eq	ADP
iogr-453	87	62	.	.	PROPN
iogr-453	87	63	2	2	NUM
iogr-453	87	64	and	and	CCONJ
iogr-453	87	65	the	the	DET
iogr-453	87	66	classifier	classifier	NOUN
iogr-453	87	67	,	,	PUNCT
iogr-453	87	68	and	and	CCONJ
iogr-453	87	69	obtains	obtain	VERB
iogr-453	87	70	the	the	DET
iogr-453	87	71	actual	actual	ADJ
iogr-453	87	72	output	output	NOUN
iogr-453	87	73	yp	yp	PROPN
iogr-453	87	74	of	of	ADP
iogr-453	87	75	the	the	DET
iogr-453	87	76	input	input	NOUN
iogr-453	87	77	data	data	NOUN
iogr-453	87	78	x.	x.	NOUN
iogr-453	87	79	(	(	PUNCT
iogr-453	87	80	2	2	NUM
iogr-453	87	81	)	)	PUNCT
iogr-453	87	82	backpropagation	backpropagation	NOUN
iogr-453	87	83	process	process	NOUN
iogr-453	87	84	a.	a.	NOUN
iogr-453	87	85	calculate	calculate	VERB
iogr-453	87	86	the	the	DET
iogr-453	87	87	error	error	NOUN
iogr-453	87	88	e	e	NOUN
iogr-453	87	89	from	from	ADP
iogr-453	87	90	the	the	DET
iogr-453	87	91	actual	actual	ADJ
iogr-453	87	92	output	output	NOUN
iogr-453	87	93	yp	yp	PROPN
iogr-453	87	94	and	and	CCONJ
iogr-453	87	95	the	the	DET
iogr-453	87	96	ideal	ideal	ADJ
iogr-453	87	97	output	output	NOUN
iogr-453	87	98	dp	dp	NOUN
iogr-453	87	99	;	;	PUNCT
iogr-453	87	100	b.	b.	PROPN
iogr-453	87	101	back	back	ADV
iogr-453	87	102	propagate	propagate	VERB
iogr-453	87	103	the	the	DET
iogr-453	87	104	error	error	NOUN
iogr-453	87	105	e	e	NOUN
iogr-453	87	106	to	to	PART
iogr-453	87	107	update	update	VERB
iogr-453	87	108	the	the	DET
iogr-453	87	109	weight	weight	NOUN
iogr-453	87	110	of	of	ADP
iogr-453	87	111	the	the	DET
iogr-453	87	112	entire	entire	ADJ
iogr-453	87	113	network	network	NOUN
iogr-453	87	114	.	.	PUNCT
iogr-453	88	1	in	in	ADP
iogr-453	88	2	practical	practical	ADJ
iogr-453	88	3	application	application	NOUN
iogr-453	88	4	,	,	PUNCT
iogr-453	88	5	the	the	DET
iogr-453	88	6	training	training	NOUN
iogr-453	88	7	process	process	NOUN
iogr-453	88	8	usually	usually	ADV
iogr-453	88	9	uses	use	VERB
iogr-453	88	10	the	the	DET
iogr-453	88	11	batch	batch	NOUN
iogr-453	88	12	training	training	NOUN
iogr-453	88	13	technology	technology	NOUN
iogr-453	88	14	,	,	PUNCT
iogr-453	88	15	which	which	PRON
iogr-453	88	16	weights	weight	VERB
iogr-453	88	17	and	and	CCONJ
iogr-453	88	18	biases	bias	NOUN
iogr-453	88	19	are	be	AUX
iogr-453	88	20	updated	update	VERB
iogr-453	88	21	after	after	SCONJ
iogr-453	88	22	multiple	multiple	NOUN
iogr-453	88	23	of	of	ADP
iogr-453	88	24	the	the	DET
iogr-453	88	25	inputs	input	NOUN
iogr-453	88	26	and	and	CCONJ
iogr-453	88	27	targets	target	NOUN
iogr-453	88	28	are	be	AUX
iogr-453	88	29	presented	present	VERB
iogr-453	88	30	.	.	PUNCT
iogr-453	89	1	the	the	DET
iogr-453	89	2	detailed	detailed	ADJ
iogr-453	89	3	descriptions	description	NOUN
iogr-453	89	4	of	of	ADP
iogr-453	89	5	the	the	DET
iogr-453	89	6	error	error	NOUN
iogr-453	89	7	estimate	estimate	NOUN
iogr-453	89	8	method	method	NOUN
iogr-453	89	9	and	and	CCONJ
iogr-453	89	10	the	the	DET
iogr-453	89	11	weights	weight	NOUN
iogr-453	89	12	update	update	NOUN
iogr-453	89	13	method	method	NOUN
iogr-453	89	14	can	can	AUX
iogr-453	89	15	be	be	AUX
iogr-453	89	16	found	find	VERB
iogr-453	89	17	in	in	ADP
iogr-453	89	18	li	li	PROPN
iogr-453	89	19	(	(	PUNCT
iogr-453	89	20	2015	2015	NUM
iogr-453	89	21	)	)	PUNCT
iogr-453	89	22	.	.	PUNCT
iogr-453	90	1	cnn	cnn	PROPN
iogr-453	90	2	based	base	VERB
iogr-453	90	3	indicator	indicator	PROPN
iogr-453	90	4	diagram	diagram	PROPN
iogr-453	90	5	identification	identification	NOUN
iogr-453	90	6	model	model	NOUN
iogr-453	90	7	the	the	DET
iogr-453	90	8	process	process	NOUN
iogr-453	90	9	of	of	ADP
iogr-453	90	10	indicator	indicator	NOUN
iogr-453	90	11	diagram	diagram	NOUN
iogr-453	90	12	identification	identification	NOUN
iogr-453	90	13	based	base	VERB
iogr-453	90	14	on	on	ADP
iogr-453	90	15	cnn	cnn	PROPN
iogr-453	90	16	is	be	AUX
iogr-453	90	17	shown	show	VERB
iogr-453	90	18	in	in	ADP
iogr-453	90	19	figure	figure	NOUN
iogr-453	90	20	2	2	NUM
iogr-453	90	21	.	.	PUNCT
iogr-453	90	22	figure	figure	NOUN
iogr-453	90	23	2	2	NUM
iogr-453	90	24	—	—	PUNCT
iogr-453	90	25	the	the	DET
iogr-453	90	26	process	process	NOUN
iogr-453	90	27	of	of	ADP
iogr-453	90	28	indicator	indicator	NOUN
iogr-453	90	29	diagram	diagram	NOUN
iogr-453	90	30	identification	identification	NOUN
iogr-453	90	31	based	base	VERB
iogr-453	90	32	on	on	ADP
iogr-453	90	33	cnn	cnn	PROPN
iogr-453	90	34	.	.	PUNCT
iogr-453	91	1	pretreatment	pretreatment	NOUN
iogr-453	91	2	of	of	ADP
iogr-453	91	3	indicator	indicator	PROPN
iogr-453	91	4	diagram	diagram	PROPN
iogr-453	91	5	.	.	PUNCT
iogr-453	92	1	in	in	ADP
iogr-453	92	2	order	order	NOUN
iogr-453	92	3	to	to	PART
iogr-453	92	4	keep	keep	VERB
iogr-453	92	5	the	the	DET
iogr-453	92	6	quality	quality	NOUN
iogr-453	92	7	of	of	ADP
iogr-453	92	8	the	the	DET
iogr-453	92	9	training	training	NOUN
iogr-453	92	10	and	and	CCONJ
iogr-453	92	11	learning	learning	NOUN
iogr-453	92	12	of	of	ADP
iogr-453	92	13	the	the	DET
iogr-453	92	14	cnn	cnn	PROPN
iogr-453	92	15	network	network	NOUN
iogr-453	92	16	,	,	PUNCT
iogr-453	92	17	it	it	PRON
iogr-453	92	18	is	be	AUX
iogr-453	92	19	necessary	necessary	ADJ
iogr-453	92	20	to	to	PART
iogr-453	92	21	standardize	standardize	VERB
iogr-453	92	22	the	the	DET
iogr-453	92	23	input	input	NOUN
iogr-453	92	24	data	datum	NOUN
iogr-453	92	25	of	of	ADP
iogr-453	92	26	the	the	DET
iogr-453	92	27	network	network	NOUN
iogr-453	92	28	.	.	PUNCT
iogr-453	93	1	standardized	standardize	VERB
iogr-453	93	2	indicator	indicator	NOUN
iogr-453	93	3	diagram	diagram	NOUN
iogr-453	93	4	drawing	draw	VERB
iogr-453	93	5	.	.	PUNCT
iogr-453	94	1	in	in	ADP
iogr-453	94	2	order	order	NOUN
iogr-453	94	3	to	to	PART
iogr-453	94	4	reduce	reduce	VERB
iogr-453	94	5	the	the	DET
iogr-453	94	6	training	training	NOUN
iogr-453	94	7	time	time	NOUN
iogr-453	94	8	and	and	CCONJ
iogr-453	94	9	improve	improve	VERB
iogr-453	94	10	the	the	DET
iogr-453	94	11	convergence	convergence	NOUN
iogr-453	94	12	speed	speed	NOUN
iogr-453	94	13	of	of	ADP
iogr-453	94	14	learning	learning	NOUN
iogr-453	94	15	,	,	PUNCT
iogr-453	94	16	the	the	DET
iogr-453	94	17	original	original	ADJ
iogr-453	94	18	indicator	indicator	NOUN
iogr-453	94	19	diagram	diagram	NOUN
iogr-453	94	20	is	be	AUX
iogr-453	94	21	pre	pre	ADJ
iogr-453	94	22	-	-	VERB
iogr-453	94	23	processed	process	VERB
iogr-453	94	24	to	to	ADP
iogr-453	94	25	a	a	DET
iogr-453	94	26	normalized	normalize	VERB
iogr-453	94	27	binary	binary	ADJ
iogr-453	94	28	image	image	NOUN
iogr-453	94	29	as	as	ADP
iogr-453	94	30	the	the	DET
iogr-453	94	31	input	input	NOUN
iogr-453	94	32	of	of	ADP
iogr-453	94	33	cnn	cnn	PROPN
iogr-453	94	34	.	.	PUNCT
iogr-453	95	1	in	in	ADP
iogr-453	95	2	our	our	PRON
iogr-453	95	3	model	model	NOUN
iogr-453	95	4	,	,	PUNCT
iogr-453	95	5	the	the	DET
iogr-453	95	6	displacement	displacement	ADJ
iogr-453	95	7	vector	vector	NOUN
iogr-453	95	8	s	s	X
iogr-453	95	9	and	and	CCONJ
iogr-453	95	10	the	the	DET
iogr-453	95	11	load	load	NOUN
iogr-453	95	12	vector	vector	NOUN
iogr-453	95	13	f	f	PROPN
iogr-453	95	14	measured	measure	VERB
iogr-453	95	15	from	from	ADP
iogr-453	95	16	the	the	DET
iogr-453	95	17	pumping	pump	VERB
iogr-453	95	18	unit	unit	NOUN
iogr-453	95	19	are	be	AUX
iogr-453	95	20	plotted	plot	VERB
iogr-453	95	21	as	as	ADP
iogr-453	95	22	64×64	64×64	NUM
iogr-453	95	23	binary	binary	ADJ
iogr-453	95	24	image	image	NOUN
iogr-453	95	25	.	.	PUNCT
iogr-453	96	1	the	the	DET
iogr-453	96	2	plot	plot	NOUN
iogr-453	96	3	uses	use	VERB
iogr-453	96	4	displacement	displacement	ADJ
iogr-453	96	5	vector	vector	NOUN
iogr-453	96	6	as	as	ADP
iogr-453	96	7	the	the	DET
iogr-453	96	8	x	x	NOUN
iogr-453	96	9	-	-	NOUN
iogr-453	96	10	axis	axis	NOUN
iogr-453	96	11	and	and	CCONJ
iogr-453	96	12	the	the	DET
iogr-453	96	13	bound	bound	ADJ
iogr-453	96	14	is	be	AUX
iogr-453	96	15	set	set	VERB
iogr-453	96	16	to	to	ADP
iogr-453	96	17	[	[	X
iogr-453	96	18	min(s	min(s	PROPN
iogr-453	96	19	)	)	PUNCT
iogr-453	96	20	,	,	PUNCT
iogr-453	96	21	max(s	max(s	PROPN
iogr-453	96	22	)	)	PUNCT
iogr-453	96	23	]	]	PUNCT
iogr-453	96	24	;	;	PUNCT
iogr-453	96	25	and	and	CCONJ
iogr-453	96	26	uses	use	VERB
iogr-453	96	27	load	load	NOUN
iogr-453	96	28	vector	vector	NOUN
iogr-453	96	29	as	as	ADP
iogr-453	96	30	the	the	DET
iogr-453	96	31	y	y	NOUN
iogr-453	96	32	-	-	PUNCT
iogr-453	96	33	axis	axis	NOUN
iogr-453	96	34	and	and	CCONJ
iogr-453	96	35	the	the	DET
iogr-453	96	36	bound	bound	ADJ
iogr-453	96	37	is	be	AUX
iogr-453	96	38	set	set	VERB
iogr-453	96	39	to	to	ADP
iogr-453	96	40	[	[	X
iogr-453	96	41	min(f	min(f	PROPN
iogr-453	96	42	)	)	PUNCT
iogr-453	96	43	,	,	PUNCT
iogr-453	96	44	max(f	max(f	PROPN
iogr-453	96	45	)	)	PUNCT
iogr-453	96	46	]	]	PUNCT
iogr-453	96	47	.	.	PUNCT
iogr-453	97	1	cnn	cnn	PROPN
iogr-453	97	2	output	output	PROPN
iogr-453	97	3	definition	definition	NOUN
iogr-453	97	4	.	.	PUNCT
iogr-453	98	1	in	in	ADP
iogr-453	98	2	this	this	DET
iogr-453	98	3	paper	paper	NOUN
iogr-453	98	4	,	,	PUNCT
iogr-453	98	5	all	all	DET
iogr-453	98	6	the	the	DET
iogr-453	98	7	samples	sample	NOUN
iogr-453	98	8	are	be	AUX
iogr-453	98	9	classified	classify	VERB
iogr-453	98	10	into	into	ADP
iogr-453	98	11	eight	eight	NUM
iogr-453	98	12	categories	category	NOUN
iogr-453	98	13	of	of	ADP
iogr-453	98	14	working	working	NOUN
iogr-453	98	15	conditions	condition	NOUN
iogr-453	98	16	of	of	ADP
iogr-453	98	17	pumping	pump	VERB
iogr-453	98	18	unit	unit	NOUN
iogr-453	98	19	,	,	PUNCT
iogr-453	98	20	of	of	ADP
iogr-453	98	21	which	which	PRON
iogr-453	98	22	seven	seven	NUM
iogr-453	98	23	are	be	AUX
iogr-453	98	24	the	the	DET
iogr-453	98	25	most	most	ADV
iogr-453	98	26	common	common	ADJ
iogr-453	98	27	types	type	NOUN
iogr-453	98	28	of	of	ADP
iogr-453	98	29	working	work	VERB
iogr-453	98	30	conditions	condition	NOUN
iogr-453	98	31	,	,	PUNCT
iogr-453	98	32	and	and	CCONJ
iogr-453	98	33	the	the	DET
iogr-453	98	34	rest	rest	NOUN
iogr-453	98	35	of	of	ADP
iogr-453	98	36	the	the	DET
iogr-453	98	37	conditions	condition	NOUN
iogr-453	98	38	is	be	AUX
iogr-453	98	39	classified	classify	VERB
iogr-453	98	40	as	as	ADP
iogr-453	98	41	unknown	unknown	ADJ
iogr-453	98	42	.	.	PUNCT
iogr-453	99	1	figure	figure	NOUN
iogr-453	99	2	3	3	NUM
iogr-453	99	3	shows	show	VERB
iogr-453	99	4	the	the	DET
iogr-453	99	5	typical	typical	ADJ
iogr-453	99	6	indicator	indicator	NOUN
iogr-453	99	7	diagram	diagram	NOUN
iogr-453	99	8	of	of	ADP
iogr-453	99	9	the	the	DET
iogr-453	99	10	well	well	NOUN
iogr-453	99	11	and	and	CCONJ
iogr-453	99	12	the	the	DET
iogr-453	99	13	corresponding	corresponding	ADJ
iogr-453	99	14	working	work	VERB
iogr-453	99	15	conditions	condition	NOUN
iogr-453	99	16	.	.	PUNCT
iogr-453	100	1	5	5	NUM
iogr-453	100	2	figure	figure	NOUN
iogr-453	100	3	3	3	NUM
iogr-453	100	4	—	—	PUNCT
iogr-453	100	5	the	the	DET
iogr-453	100	6	typical	typical	ADJ
iogr-453	100	7	indicator	indicator	NOUN
iogr-453	100	8	diagram	diagram	PROPN
iogr-453	100	9	.	.	PUNCT
iogr-453	101	1	the	the	DET
iogr-453	101	2	number	number	NOUN
iogr-453	101	3	of	of	ADP
iogr-453	101	4	neurons	neuron	NOUN
iogr-453	101	5	in	in	ADP
iogr-453	101	6	the	the	DET
iogr-453	101	7	output	output	NOUN
iogr-453	101	8	layer	layer	NOUN
iogr-453	101	9	of	of	ADP
iogr-453	101	10	cnn	cnn	PROPN
iogr-453	101	11	equals	equal	VERB
iogr-453	101	12	the	the	DET
iogr-453	101	13	number	number	NOUN
iogr-453	101	14	of	of	ADP
iogr-453	101	15	categories	category	NOUN
iogr-453	101	16	of	of	ADP
iogr-453	101	17	working	working	NOUN
iogr-453	101	18	conditions	condition	NOUN
iogr-453	101	19	we	we	PRON
iogr-453	101	20	defined	define	VERB
iogr-453	101	21	.	.	PUNCT
iogr-453	102	1	when	when	SCONJ
iogr-453	102	2	we	we	PRON
iogr-453	102	3	input	input	VERB
iogr-453	102	4	an	an	DET
iogr-453	102	5	indicator	indicator	NOUN
iogr-453	102	6	diagram	diagram	NOUN
iogr-453	102	7	to	to	ADP
iogr-453	102	8	cnn	cnn	PROPN
iogr-453	102	9	,	,	PUNCT
iogr-453	102	10	only	only	ADV
iogr-453	102	11	one	one	NUM
iogr-453	102	12	of	of	ADP
iogr-453	102	13	all	all	DET
iogr-453	102	14	the	the	DET
iogr-453	102	15	neurons	neuron	NOUN
iogr-453	102	16	in	in	ADP
iogr-453	102	17	the	the	DET
iogr-453	102	18	output	output	NOUN
iogr-453	102	19	layer	layer	NOUN
iogr-453	102	20	obtain	obtain	VERB
iogr-453	102	21	value	value	NOUN
iogr-453	102	22	1	1	NUM
iogr-453	102	23	,	,	PUNCT
iogr-453	102	24	and	and	CCONJ
iogr-453	102	25	the	the	DET
iogr-453	102	26	remaining	remain	VERB
iogr-453	102	27	neuron	neuron	NOUN
iogr-453	102	28	output	output	NOUN
iogr-453	102	29	is	be	AUX
iogr-453	102	30	0	0	NUM
iogr-453	102	31	.	.	PUNCT
iogr-453	103	1	the	the	DET
iogr-453	103	2	ideal	ideal	ADJ
iogr-453	103	3	output	output	NOUN
iogr-453	103	4	mode	mode	NOUN
iogr-453	103	5	for	for	ADP
iogr-453	103	6	cnn	cnn	PROPN
iogr-453	103	7	is	be	AUX
iogr-453	103	8	shown	show	VERB
iogr-453	103	9	in	in	ADP
iogr-453	103	10	table	table	NOUN
iogr-453	103	11	1	1	NUM
iogr-453	103	12	.	.	PUNCT
iogr-453	103	13	table	table	NOUN
iogr-453	103	14	1	1	NUM
iogr-453	103	15	—	—	PUNCT
iogr-453	103	16	ideal	ideal	ADJ
iogr-453	103	17	output	output	NOUN
iogr-453	103	18	mode	mode	NOUN
iogr-453	103	19	for	for	ADP
iogr-453	103	20	cnn	cnn	PROPN
iogr-453	103	21	model	model	PROPN
iogr-453	103	22	.	.	PUNCT
iogr-453	104	1	index	index	NOUN
iogr-453	104	2	working	work	VERB
iogr-453	104	3	condition	condition	NOUN
iogr-453	104	4	output	output	NOUN
iogr-453	104	5	vector	vector	NOUN
iogr-453	104	6	1	1	NUM
iogr-453	104	7	unknown	unknown	ADJ
iogr-453	104	8	[	[	X
iogr-453	104	9	1	1	NUM
iogr-453	104	10	0	0	NUM
iogr-453	104	11	0	0	NUM
iogr-453	104	12	0	0	NUM
iogr-453	104	13	0	0	NUM
iogr-453	104	14	0	0	NUM
iogr-453	104	15	0	0	NUM
iogr-453	104	16	0	0	NUM
iogr-453	104	17	]	]	SYM
iogr-453	104	18	2	2	NUM
iogr-453	104	19	normal	normal	ADJ
iogr-453	104	20	[	[	X
iogr-453	104	21	0	0	NUM
iogr-453	104	22	1	1	NUM
iogr-453	104	23	0	0	NUM
iogr-453	104	24	0	0	NUM
iogr-453	104	25	0	0	NUM
iogr-453	104	26	0	0	NUM
iogr-453	104	27	0	0	NUM
iogr-453	104	28	0	0	NUM
iogr-453	104	29	]	]	SYM
iogr-453	104	30	3	3	NUM
iogr-453	104	31	insufficient	insufficient	ADJ
iogr-453	104	32	liquid	liquid	ADJ
iogr-453	104	33	[	[	X
iogr-453	104	34	0	0	NUM
iogr-453	104	35	0	0	NUM
iogr-453	104	36	1	1	NUM
iogr-453	104	37	0	0	NUM
iogr-453	104	38	0	0	NUM
iogr-453	104	39	0	0	NUM
iogr-453	104	40	0	0	NUM
iogr-453	104	41	0	0	NUM
iogr-453	104	42	]	]	SYM
iogr-453	104	43	4	4	NUM
iogr-453	104	44	gas	gas	NOUN
iogr-453	104	45	influence	influence	NOUN
iogr-453	105	1	[	[	X
iogr-453	105	2	0	0	NUM
iogr-453	105	3	0	0	NUM
iogr-453	105	4	0	0	NUM
iogr-453	105	5	1	1	NUM
iogr-453	105	6	0	0	NUM
iogr-453	105	7	0	0	NUM
iogr-453	105	8	0	0	NUM
iogr-453	105	9	0	0	NUM
iogr-453	105	10	]	]	SYM
iogr-453	105	11	5	5	NUM
iogr-453	105	12	travelling	travel	VERB
iogr-453	105	13	valve	valve	NOUN
iogr-453	105	14	loss	loss	NOUN
iogr-453	105	15	[	[	X
iogr-453	105	16	0	0	NUM
iogr-453	105	17	0	0	NUM
iogr-453	105	18	0	0	NUM
iogr-453	105	19	0	0	NUM
iogr-453	105	20	1	1	NUM
iogr-453	105	21	0	0	NUM
iogr-453	105	22	0	0	NUM
iogr-453	105	23	0	0	NUM
iogr-453	105	24	]	]	SYM
iogr-453	105	25	6	6	NUM
iogr-453	105	26	standing	stand	VERB
iogr-453	105	27	valve	valve	NOUN
iogr-453	105	28	loss	loss	NOUN
iogr-453	105	29	[	[	X
iogr-453	105	30	0	0	NUM
iogr-453	105	31	0	0	NUM
iogr-453	105	32	0	0	NUM
iogr-453	105	33	0	0	NUM
iogr-453	105	34	0	0	NUM
iogr-453	105	35	1	1	NUM
iogr-453	105	36	0	0	NUM
iogr-453	105	37	0	0	NUM
iogr-453	105	38	]	]	SYM
iogr-453	105	39	7	7	NUM
iogr-453	105	40	piston	piston	NOUN
iogr-453	105	41	out	out	ADP
iogr-453	106	1	[	[	X
iogr-453	106	2	0	0	NUM
iogr-453	106	3	0	0	NUM
iogr-453	106	4	0	0	NUM
iogr-453	106	5	0	0	NUM
iogr-453	106	6	0	0	NUM
iogr-453	106	7	0	0	NUM
iogr-453	106	8	1	1	NUM
iogr-453	106	9	0	0	NUM
iogr-453	106	10	]	]	SYM
iogr-453	106	11	8	8	NUM
iogr-453	106	12	gas	gas	NOUN
iogr-453	106	13	locking	locking	NOUN
iogr-453	106	14	[	[	X
iogr-453	106	15	0	0	NUM
iogr-453	106	16	0	0	NUM
iogr-453	106	17	0	0	NUM
iogr-453	106	18	0	0	NUM
iogr-453	106	19	0	0	NUM
iogr-453	106	20	0	0	NUM
iogr-453	106	21	0	0	NUM
iogr-453	106	22	1	1	NUM
iogr-453	106	23	]	]	PUNCT
iogr-453	106	24	model	model	NOUN
iogr-453	106	25	description	description	NOUN
iogr-453	106	26	.	.	PUNCT
iogr-453	107	1	in	in	ADP
iogr-453	107	2	this	this	DET
iogr-453	107	3	study	study	NOUN
iogr-453	107	4	,	,	PUNCT
iogr-453	107	5	we	we	PRON
iogr-453	107	6	use	use	VERB
iogr-453	107	7	lenet-5	lenet-5	PRON
iogr-453	107	8	(	(	PUNCT
iogr-453	107	9	elsawy	elsawy	X
iogr-453	107	10	et	et	PROPN
iogr-453	107	11	al	al	PROPN
iogr-453	107	12	.	.	PROPN
iogr-453	107	13	2016	2016	NUM
iogr-453	107	14	)	)	PUNCT
iogr-453	107	15	,	,	PUNCT
iogr-453	107	16	the	the	DET
iogr-453	107	17	most	most	ADV
iogr-453	107	18	commonly	commonly	ADV
iogr-453	107	19	used	use	VERB
iogr-453	107	20	structure	structure	NOUN
iogr-453	107	21	of	of	ADP
iogr-453	107	22	cnn	cnn	PROPN
iogr-453	107	23	,	,	PUNCT
iogr-453	107	24	as	as	ADP
iogr-453	107	25	the	the	DET
iogr-453	107	26	cnn	cnn	PROPN
iogr-453	107	27	structure	structure	NOUN
iogr-453	107	28	of	of	ADP
iogr-453	107	29	indicator	indicator	PROPN
iogr-453	107	30	diagram	diagram	PROPN
iogr-453	107	31	identification	identification	NOUN
iogr-453	107	32	model	model	NOUN
iogr-453	107	33	.	.	PUNCT
iogr-453	108	1	lenet-5	lenet-5	PRON
iogr-453	108	2	contains	contain	VERB
iogr-453	108	3	two	two	NUM
iogr-453	108	4	feature	feature	NOUN
iogr-453	108	5	extraction	extraction	NOUN
iogr-453	108	6	stages	stage	NOUN
iogr-453	108	7	and	and	CCONJ
iogr-453	108	8	a	a	DET
iogr-453	108	9	neural	neural	ADJ
iogr-453	108	10	network	network	NOUN
iogr-453	108	11	classifier	classifier	NOUN
iogr-453	108	12	(	(	PUNCT
iogr-453	108	13	figure	figure	NOUN
iogr-453	108	14	1	1	NUM
iogr-453	108	15	)	)	PUNCT
iogr-453	108	16	.	.	PUNCT
iogr-453	109	1	the	the	DET
iogr-453	109	2	input	input	NOUN
iogr-453	109	3	for	for	ADP
iogr-453	109	4	our	our	PRON
iogr-453	109	5	cnn	cnn	PROPN
iogr-453	109	6	model	model	NOUN
iogr-453	109	7	is	be	AUX
iogr-453	109	8	a	a	DET
iogr-453	109	9	normalized	normalize	VERB
iogr-453	109	10	64×64	64×64	NUM
iogr-453	109	11	binary	binary	ADJ
iogr-453	109	12	image	image	NOUN
iogr-453	109	13	of	of	ADP
iogr-453	109	14	indicator	indicator	NOUN
iogr-453	109	15	diagram	diagram	NOUN
iogr-453	109	16	,	,	PUNCT
iogr-453	109	17	and	and	CCONJ
iogr-453	109	18	output	output	NOUN
iogr-453	109	19	is	be	AUX
iogr-453	109	20	an	an	DET
iogr-453	109	21	8×1	8×1	NUM
iogr-453	109	22	column	column	NOUN
iogr-453	109	23	vector	vector	NOUN
iogr-453	109	24	.	.	PUNCT
iogr-453	110	1	the	the	DET
iogr-453	110	2	first	first	ADJ
iogr-453	110	3	feature	feature	NOUN
iogr-453	110	4	extraction	extraction	NOUN
iogr-453	110	5	stage	stage	NOUN
iogr-453	110	6	of	of	ADP
iogr-453	110	7	cnn	cnn	PROPN
iogr-453	110	8	consists	consist	VERB
iogr-453	110	9	a	a	DET
iogr-453	110	10	convolution	convolution	NOUN
iogr-453	110	11	layer	layer	NOUN
iogr-453	110	12	c1	c1	NOUN
iogr-453	110	13	and	and	CCONJ
iogr-453	110	14	a	a	DET
iogr-453	110	15	sub	sub	ADJ
iogr-453	110	16	-	-	ADJ
iogr-453	110	17	sampling	sample	VERB
iogr-453	110	18	layer	layer	NOUN
iogr-453	110	19	s2	s2	PROPN
iogr-453	110	20	.	.	PUNCT
iogr-453	111	1	the	the	DET
iogr-453	111	2	c1	c1	PROPN
iogr-453	111	3	layer	layer	NOUN
iogr-453	111	4	is	be	AUX
iogr-453	111	5	obtained	obtain	VERB
iogr-453	111	6	by	by	ADP
iogr-453	111	7	convolution	convolution	NOUN
iogr-453	111	8	of	of	ADP
iogr-453	111	9	the	the	DET
iogr-453	111	10	original	original	ADJ
iogr-453	111	11	image	image	NOUN
iogr-453	111	12	through	through	ADP
iogr-453	111	13	four	four	NUM
iogr-453	111	14	5×5	5×5	NUM
iogr-453	111	15	convolution	convolution	NOUN
iogr-453	111	16	kernels	kernel	NOUN
iogr-453	111	17	.	.	PUNCT
iogr-453	112	1	that	that	PRON
iogr-453	112	2	makes	make	VERB
iogr-453	112	3	c1	c1	PROPN
iogr-453	112	4	layer	layer	NOUN
iogr-453	112	5	contains	contain	VERB
iogr-453	112	6	four	four	NUM
iogr-453	112	7	60×60	60×60	NUM
iogr-453	112	8	feature	feature	NOUN
iogr-453	112	9	maps	map	NOUN
iogr-453	112	10	.	.	PUNCT
iogr-453	113	1	there	there	PRON
iogr-453	113	2	are	be	VERB
iogr-453	113	3	one	one	NUM
iogr-453	113	4	5×5	5×5	NUM
iogr-453	113	5	convolution	convolution	NOUN
iogr-453	113	6	kernel	kernel	NOUN
iogr-453	113	7	and	and	CCONJ
iogr-453	113	8	one	one	NUM
iogr-453	113	9	bias	bias	NOUN
iogr-453	113	10	normalunknown	normalunknown	NOUN
iogr-453	113	11	piston	piston	NOUN
iogr-453	113	12	out	out	ADP
iogr-453	113	13	insufficient	insufficient	ADJ
iogr-453	113	14	liquid	liquid	ADJ
iogr-453	113	15	gas	gas	NOUN
iogr-453	113	16	locking	locking	NOUN
iogr-453	113	17	gas	gas	NOUN
iogr-453	113	18	influence	influence	NOUN
iogr-453	113	19	standing	stand	VERB
iogr-453	113	20	valve	valve	NOUN
iogr-453	113	21	losstravelling	losstravelle	VERB
iogr-453	113	22	valve	valve	NOUN
iogr-453	113	23	loss	loss	NOUN
iogr-453	113	24	6	6	NUM
iogr-453	113	25	between	between	ADP
iogr-453	113	26	the	the	DET
iogr-453	113	27	original	original	ADJ
iogr-453	113	28	image	image	NOUN
iogr-453	113	29	and	and	CCONJ
iogr-453	113	30	each	each	DET
iogr-453	113	31	feature	feature	NOUN
iogr-453	113	32	map	map	NOUN
iogr-453	113	33	in	in	ADP
iogr-453	113	34	the	the	DET
iogr-453	113	35	c1	c1	NOUN
iogr-453	113	36	layer	layer	NOUN
iogr-453	113	37	.	.	PUNCT
iogr-453	114	1	the	the	DET
iogr-453	114	2	number	number	NOUN
iogr-453	114	3	of	of	ADP
iogr-453	114	4	weights	weight	NOUN
iogr-453	114	5	needs	need	VERB
iogr-453	114	6	training	training	NOUN
iogr-453	114	7	is	be	AUX
iogr-453	114	8	4×(5×5	4×(5×5	NUM
iogr-453	114	9	+	+	PROPN
iogr-453	114	10	1)=104	1)=104	PROPN
iogr-453	114	11	.	.	PUNCT
iogr-453	115	1	the	the	DET
iogr-453	115	2	s2	s2	NOUN
iogr-453	115	3	layer	layer	NOUN
iogr-453	115	4	is	be	AUX
iogr-453	115	5	obtained	obtain	VERB
iogr-453	115	6	by	by	ADP
iogr-453	115	7	one	one	NUM
iogr-453	115	8	-	-	PUNCT
iogr-453	115	9	to	to	ADP
iogr-453	115	10	-	-	PUNCT
iogr-453	115	11	one	one	NUM
iogr-453	115	12	sub	sub	ADJ
iogr-453	115	13	-	-	ADJ
iogr-453	115	14	sampling	sample	VERB
iogr-453	115	15	operation	operation	NOUN
iogr-453	115	16	on	on	ADP
iogr-453	115	17	the	the	DET
iogr-453	115	18	feature	feature	NOUN
iogr-453	115	19	maps	map	NOUN
iogr-453	115	20	of	of	ADP
iogr-453	115	21	the	the	DET
iogr-453	115	22	c1	c1	NOUN
iogr-453	115	23	layer	layer	NOUN
iogr-453	115	24	.	.	PUNCT
iogr-453	116	1	the	the	DET
iogr-453	116	2	sub	sub	ADJ
iogr-453	116	3	-	-	ADJ
iogr-453	116	4	sampling	sample	VERB
iogr-453	116	5	resolution	resolution	NOUN
iogr-453	116	6	is	be	AUX
iogr-453	116	7	set	set	VERB
iogr-453	116	8	to	to	ADP
iogr-453	116	9	2×2	2×2	NUM
iogr-453	116	10	.	.	PUNCT
iogr-453	117	1	hence	hence	ADV
iogr-453	117	2	the	the	DET
iogr-453	117	3	size	size	NOUN
iogr-453	117	4	of	of	ADP
iogr-453	117	5	feature	feature	NOUN
iogr-453	117	6	maps	map	NOUN
iogr-453	117	7	in	in	ADP
iogr-453	117	8	the	the	DET
iogr-453	117	9	s2	s2	NOUN
iogr-453	117	10	layer	layer	NOUN
iogr-453	117	11	is	be	AUX
iogr-453	117	12	30×30	30×30	NUM
iogr-453	117	13	,	,	PUNCT
iogr-453	117	14	and	and	CCONJ
iogr-453	117	15	the	the	DET
iogr-453	117	16	number	number	NOUN
iogr-453	117	17	of	of	ADP
iogr-453	117	18	the	the	DET
iogr-453	117	19	maps	map	NOUN
iogr-453	117	20	is	be	AUX
iogr-453	117	21	4	4	NUM
iogr-453	117	22	.	.	PUNCT
iogr-453	118	1	each	each	DET
iogr-453	118	2	sub	sub	ADJ
iogr-453	118	3	-	-	ADJ
iogr-453	118	4	sampling	sample	VERB
iogr-453	118	5	operation	operation	NOUN
iogr-453	118	6	contains	contain	VERB
iogr-453	118	7	two	two	NUM
iogr-453	118	8	training	training	NOUN
iogr-453	118	9	parameters	parameter	NOUN
iogr-453	118	10	,	,	PUNCT
iogr-453	118	11	which	which	PRON
iogr-453	118	12	are	be	AUX
iogr-453	118	13	multiplicative	multiplicative	ADJ
iogr-453	118	14	bias	bias	NOUN
iogr-453	118	15	and	and	CCONJ
iogr-453	118	16	additive	additive	ADJ
iogr-453	118	17	bias	bias	NOUN
iogr-453	118	18	.	.	PUNCT
iogr-453	119	1	the	the	DET
iogr-453	119	2	s2	s2	NOUN
iogr-453	119	3	layer	layer	NOUN
iogr-453	119	4	has	have	VERB
iogr-453	119	5	4×(1	4×(1	NUM
iogr-453	119	6	+	+	ADJ
iogr-453	119	7	1)=8	1)=8	NUM
iogr-453	119	8	weights	weight	NOUN
iogr-453	119	9	.	.	PUNCT
iogr-453	120	1	the	the	DET
iogr-453	120	2	second	second	ADJ
iogr-453	120	3	feature	feature	NOUN
iogr-453	120	4	extraction	extraction	NOUN
iogr-453	120	5	stage	stage	NOUN
iogr-453	120	6	of	of	ADP
iogr-453	120	7	cnn	cnn	PROPN
iogr-453	120	8	consists	consist	VERB
iogr-453	120	9	of	of	ADP
iogr-453	120	10	convolution	convolution	NOUN
iogr-453	120	11	layer	layer	NOUN
iogr-453	120	12	c3	c3	PROPN
iogr-453	120	13	and	and	CCONJ
iogr-453	120	14	subsampling	subsample	VERB
iogr-453	120	15	layer	layer	NOUN
iogr-453	120	16	s4	s4	NOUN
iogr-453	120	17	.	.	PUNCT
iogr-453	121	1	the	the	DET
iogr-453	121	2	convolution	convolution	NOUN
iogr-453	121	3	layer	layer	NOUN
iogr-453	121	4	c3	c3	PROPN
iogr-453	121	5	contains	contain	VERB
iogr-453	121	6	14	14	NUM
iogr-453	121	7	feature	feature	NOUN
iogr-453	121	8	maps	map	NOUN
iogr-453	121	9	,	,	PUNCT
iogr-453	121	10	corresponding	correspond	VERB
iogr-453	121	11	to	to	ADP
iogr-453	121	12	the	the	DET
iogr-453	121	13	size	size	NOUN
iogr-453	121	14	of	of	ADP
iogr-453	121	15	14	14	NUM
iogr-453	121	16	convolution	convolution	NOUN
iogr-453	121	17	kernels	kernel	NOUN
iogr-453	121	18	is	be	AUX
iogr-453	121	19	5×5	5×5	NUM
iogr-453	121	20	,	,	PUNCT
iogr-453	121	21	so	so	ADV
iogr-453	121	22	the	the	DET
iogr-453	121	23	layer	layer	NOUN
iogr-453	121	24	of	of	ADP
iogr-453	121	25	the	the	DET
iogr-453	121	26	feature	feature	NOUN
iogr-453	121	27	map	map	NOUN
iogr-453	121	28	resolution	resolution	NOUN
iogr-453	121	29	of	of	ADP
iogr-453	121	30	26×26	26×26	NUM
iogr-453	121	31	.	.	PUNCT
iogr-453	122	1	each	each	PRON
iogr-453	122	2	of	of	ADP
iogr-453	122	3	the	the	DET
iogr-453	122	4	feature	feature	NOUN
iogr-453	122	5	maps	map	NOUN
iogr-453	122	6	in	in	ADP
iogr-453	122	7	the	the	DET
iogr-453	122	8	c3	c3	NOUN
iogr-453	122	9	layer	layer	NOUN
iogr-453	122	10	is	be	AUX
iogr-453	122	11	connected	connect	VERB
iogr-453	122	12	to	to	ADP
iogr-453	122	13	one	one	NUM
iogr-453	122	14	or	or	CCONJ
iogr-453	122	15	more	more	ADJ
iogr-453	122	16	maps	map	NOUN
iogr-453	122	17	of	of	ADP
iogr-453	122	18	the	the	DET
iogr-453	122	19	s2	s2	NOUN
iogr-453	122	20	layers	layer	NOUN
iogr-453	122	21	.	.	PUNCT
iogr-453	123	1	this	this	PRON
iogr-453	123	2	not	not	PART
iogr-453	123	3	only	only	ADV
iogr-453	123	4	reduces	reduce	VERB
iogr-453	123	5	the	the	DET
iogr-453	123	6	number	number	NOUN
iogr-453	123	7	of	of	ADP
iogr-453	123	8	connections	connection	NOUN
iogr-453	123	9	between	between	ADP
iogr-453	123	10	the	the	DET
iogr-453	123	11	c3	c3	PROPN
iogr-453	123	12	and	and	CCONJ
iogr-453	123	13	s2	s2	NOUN
iogr-453	123	14	layers	layer	NOUN
iogr-453	123	15	but	but	CCONJ
iogr-453	123	16	more	more	ADV
iogr-453	123	17	importantly	importantly	ADV
iogr-453	123	18	,	,	PUNCT
iogr-453	123	19	it	it	PRON
iogr-453	123	20	can	can	AUX
iogr-453	123	21	destroy	destroy	VERB
iogr-453	123	22	the	the	DET
iogr-453	123	23	symmetry	symmetry	NOUN
iogr-453	123	24	of	of	ADP
iogr-453	123	25	the	the	DET
iogr-453	123	26	network	network	NOUN
iogr-453	123	27	connection	connection	NOUN
iogr-453	123	28	.	.	PUNCT
iogr-453	124	1	the	the	DET
iogr-453	124	2	connection	connection	NOUN
iogr-453	124	3	between	between	ADP
iogr-453	124	4	the	the	DET
iogr-453	124	5	c3	c3	NOUN
iogr-453	124	6	layer	layer	NOUN
iogr-453	124	7	and	and	CCONJ
iogr-453	124	8	the	the	DET
iogr-453	124	9	s2	s2	NOUN
iogr-453	124	10	layer	layer	NOUN
iogr-453	124	11	is	be	AUX
iogr-453	124	12	shown	show	VERB
iogr-453	124	13	in	in	ADP
iogr-453	124	14	figure	figure	NOUN
iogr-453	124	15	4	4	NUM
iogr-453	124	16	.	.	PUNCT
iogr-453	125	1	the	the	DET
iogr-453	125	2	number	number	NOUN
iogr-453	125	3	of	of	ADP
iogr-453	125	4	weights	weight	NOUN
iogr-453	125	5	required	require	VERB
iogr-453	125	6	for	for	ADP
iogr-453	125	7	the	the	DET
iogr-453	125	8	c3	c3	PROPN
iogr-453	125	9	layer	layer	NOUN
iogr-453	125	10	is	be	AUX
iogr-453	125	11	5×5×14	5×5×14	NUM
iogr-453	125	12	+	+	NOUN
iogr-453	125	13	14×1=364	14×1=364	NOUN
iogr-453	125	14	.	.	PUNCT
iogr-453	126	1	figure	figure	NOUN
iogr-453	126	2	4	4	NUM
iogr-453	126	3	—	—	PUNCT
iogr-453	126	4	the	the	DET
iogr-453	126	5	connection	connection	NOUN
iogr-453	126	6	between	between	ADP
iogr-453	126	7	the	the	DET
iogr-453	126	8	c3	c3	NOUN
iogr-453	126	9	layer	layer	NOUN
iogr-453	126	10	and	and	CCONJ
iogr-453	126	11	s2	s2	VERB
iogr-453	126	12	layer	layer	NOUN
iogr-453	126	13	.	.	PUNCT
iogr-453	127	1	the	the	DET
iogr-453	127	2	sub	sub	ADJ
iogr-453	127	3	-	-	ADJ
iogr-453	127	4	sampling	sample	VERB
iogr-453	127	5	resolution	resolution	NOUN
iogr-453	127	6	of	of	ADP
iogr-453	127	7	the	the	DET
iogr-453	127	8	subsampling	subsample	VERB
iogr-453	127	9	layer	layer	NOUN
iogr-453	127	10	s4	s4	NOUN
iogr-453	127	11	is	be	AUX
iogr-453	127	12	still	still	ADV
iogr-453	127	13	2×2	2×2	NUM
iogr-453	127	14	,	,	PUNCT
iogr-453	127	15	so	so	ADV
iogr-453	127	16	s4	s4	VERB
iogr-453	127	17	outputs	output	NOUN
iogr-453	127	18	14	14	NUM
iogr-453	127	19	13×13	13×13	NUM
iogr-453	127	20	feature	feature	NOUN
iogr-453	127	21	maps	map	NOUN
iogr-453	127	22	.	.	PUNCT
iogr-453	128	1	each	each	DET
iogr-453	128	2	sub	sub	ADJ
iogr-453	128	3	-	-	ADJ
iogr-453	128	4	sampling	sample	VERB
iogr-453	128	5	operation	operation	NOUN
iogr-453	128	6	requires	require	VERB
iogr-453	128	7	two	two	NUM
iogr-453	128	8	training	training	NOUN
iogr-453	128	9	parameters	parameter	NOUN
iogr-453	128	10	.	.	PUNCT
iogr-453	129	1	the	the	DET
iogr-453	129	2	number	number	NOUN
iogr-453	129	3	of	of	ADP
iogr-453	129	4	weights	weight	NOUN
iogr-453	129	5	required	require	VERB
iogr-453	129	6	in	in	ADP
iogr-453	129	7	the	the	DET
iogr-453	129	8	s4	s4	NOUN
iogr-453	129	9	layer	layer	NOUN
iogr-453	129	10	is	be	AUX
iogr-453	129	11	14×2=28	14×2=28	NUM
iogr-453	129	12	.	.	PUNCT
iogr-453	130	1	the	the	DET
iogr-453	130	2	c5	c5	PROPN
iogr-453	130	3	layer	layer	NOUN
iogr-453	130	4	is	be	AUX
iogr-453	130	5	a	a	DET
iogr-453	130	6	convolution	convolution	NOUN
iogr-453	130	7	layer	layer	NOUN
iogr-453	130	8	,	,	PUNCT
iogr-453	130	9	and	and	CCONJ
iogr-453	130	10	each	each	DET
iogr-453	130	11	feature	feature	NOUN
iogr-453	130	12	map	map	NOUN
iogr-453	130	13	is	be	AUX
iogr-453	130	14	connected	connect	VERB
iogr-453	130	15	to	to	ADP
iogr-453	130	16	all	all	DET
iogr-453	130	17	the	the	DET
iogr-453	130	18	feature	feature	NOUN
iogr-453	130	19	maps	map	NOUN
iogr-453	130	20	of	of	ADP
iogr-453	130	21	the	the	DET
iogr-453	130	22	s4	s4	PROPN
iogr-453	130	23	layer	layer	NOUN
iogr-453	130	24	.	.	PUNCT
iogr-453	131	1	this	this	DET
iogr-453	131	2	connection	connection	NOUN
iogr-453	131	3	type	type	NOUN
iogr-453	131	4	usually	usually	ADV
iogr-453	131	5	is	be	AUX
iogr-453	131	6	called	call	VERB
iogr-453	131	7	as	as	ADP
iogr-453	131	8	full	full	ADJ
iogr-453	131	9	connections	connection	NOUN
iogr-453	131	10	.	.	PUNCT
iogr-453	132	1	c5	c5	PROPN
iogr-453	132	2	layer	layer	NOUN
iogr-453	132	3	contains	contain	VERB
iogr-453	132	4	120	120	NUM
iogr-453	132	5	1×1	1×1	NUM
iogr-453	132	6	feature	feature	NOUN
iogr-453	132	7	maps	map	NOUN
iogr-453	132	8	,	,	PUNCT
iogr-453	132	9	which	which	PRON
iogr-453	132	10	can	can	AUX
iogr-453	132	11	also	also	ADV
iogr-453	132	12	be	be	AUX
iogr-453	132	13	seen	see	VERB
iogr-453	132	14	as	as	ADP
iogr-453	132	15	a	a	DET
iogr-453	132	16	120	120	NUM
iogr-453	132	17	-	-	PUNCT
iogr-453	132	18	dimensional	dimensional	ADJ
iogr-453	132	19	column	column	NOUN
iogr-453	132	20	vector	vector	NOUN
iogr-453	132	21	.	.	PUNCT
iogr-453	133	1	the	the	DET
iogr-453	133	2	convolutional	convolutional	ADJ
iogr-453	133	3	kernel	kernel	NOUN
iogr-453	133	4	size	size	NOUN
iogr-453	133	5	for	for	ADP
iogr-453	133	6	this	this	DET
iogr-453	133	7	layer	layer	NOUN
iogr-453	133	8	is	be	AUX
iogr-453	133	9	13	13	NUM
iogr-453	133	10	*	*	SYM
iogr-453	133	11	13	13	NUM
iogr-453	133	12	.	.	PUNCT
iogr-453	134	1	the	the	DET
iogr-453	134	2	number	number	NOUN
iogr-453	134	3	of	of	ADP
iogr-453	134	4	connections	connection	NOUN
iogr-453	134	5	between	between	ADP
iogr-453	134	6	the	the	DET
iogr-453	134	7	s4	s4	PROPN
iogr-453	134	8	layer	layer	NOUN
iogr-453	134	9	and	and	CCONJ
iogr-453	134	10	c5	c5	PROPN
iogr-453	134	11	layer	layer	NOUN
iogr-453	134	12	is	be	AUX
iogr-453	134	13	120×(13×13×14	120×(13×13×14	NUM
iogr-453	134	14	+	+	SYM
iogr-453	134	15	1)=284,040	1)=284,040	NUM
iogr-453	134	16	,	,	PUNCT
iogr-453	134	17	i.e.	i.e.	X
iogr-453	134	18	the	the	DET
iogr-453	134	19	number	number	NOUN
iogr-453	134	20	of	of	ADP
iogr-453	134	21	weights	weight	NOUN
iogr-453	134	22	is	be	AUX
iogr-453	134	23	284,040	284,040	NUM
iogr-453	134	24	.	.	PUNCT
iogr-453	135	1	the	the	DET
iogr-453	135	2	f6	f6	PROPN
iogr-453	135	3	layer	layer	NOUN
iogr-453	135	4	is	be	AUX
iogr-453	135	5	a	a	DET
iogr-453	135	6	hidden	hidden	ADJ
iogr-453	135	7	layer	layer	NOUN
iogr-453	135	8	of	of	ADP
iogr-453	135	9	bp	bp	PROPN
iogr-453	135	10	neural	neural	ADJ
iogr-453	135	11	network	network	NOUN
iogr-453	135	12	with	with	ADP
iogr-453	135	13	84	84	NUM
iogr-453	135	14	nodes	node	NOUN
iogr-453	135	15	.	.	PUNCT
iogr-453	136	1	there	there	PRON
iogr-453	136	2	are	be	VERB
iogr-453	136	3	84×(120	84×(120	NUM
iogr-453	136	4	+	+	NOUN
iogr-453	136	5	1	1	NUM
iogr-453	136	6	)	)	PUNCT
iogr-453	136	7	=	=	SYM
iogr-453	136	8	10164	10164	NUM
iogr-453	136	9	weights	weight	NOUN
iogr-453	136	10	for	for	ADP
iogr-453	136	11	this	this	DET
iogr-453	136	12	layer	layer	NOUN
iogr-453	136	13	.	.	PUNCT
iogr-453	137	1	the	the	DET
iogr-453	137	2	output	output	NOUN
iogr-453	137	3	layer	layer	NOUN
iogr-453	137	4	contains	contain	VERB
iogr-453	137	5	8	8	NUM
iogr-453	137	6	nodes	node	NOUN
iogr-453	137	7	,	,	PUNCT
iogr-453	137	8	and	and	CCONJ
iogr-453	137	9	a	a	DET
iogr-453	137	10	1×8	1×8	NUM
iogr-453	137	11	output	output	NOUN
iogr-453	137	12	column	column	NOUN
iogr-453	137	13	vector	vector	NOUN
iogr-453	137	14	is	be	AUX
iogr-453	137	15	obtained	obtain	VERB
iogr-453	137	16	.	.	PUNCT
iogr-453	138	1	the	the	DET
iogr-453	138	2	position	position	NOUN
iogr-453	138	3	of	of	ADP
iogr-453	138	4	the	the	DET
iogr-453	138	5	element	element	NOUN
iogr-453	138	6	with	with	ADP
iogr-453	138	7	the	the	DET
iogr-453	138	8	largest	large	ADJ
iogr-453	138	9	value	value	NOUN
iogr-453	138	10	in	in	ADP
iogr-453	138	11	the	the	DET
iogr-453	138	12	vector	vector	NOUN
iogr-453	138	13	corresponds	correspond	VERB
iogr-453	138	14	to	to	ADP
iogr-453	138	15	the	the	DET
iogr-453	138	16	classification	classification	NOUN
iogr-453	138	17	result	result	NOUN
iogr-453	138	18	of	of	ADP
iogr-453	138	19	the	the	DET
iogr-453	138	20	network	network	NOUN
iogr-453	138	21	.	.	PUNCT
iogr-453	139	1	experimental	experimental	ADJ
iogr-453	139	2	results	result	NOUN
iogr-453	139	3	the	the	DET
iogr-453	139	4	indicator	indicator	NOUN
iogr-453	139	5	diagram	diagram	NOUN
iogr-453	139	6	set	set	VERB
iogr-453	139	7	collected	collect	VERB
iogr-453	139	8	from	from	ADP
iogr-453	139	9	a	a	DET
iogr-453	139	10	real	real	ADJ
iogr-453	139	11	oilfield	oilfield	NOUN
iogr-453	139	12	are	be	AUX
iogr-453	139	13	used	use	VERB
iogr-453	139	14	to	to	ADP
iogr-453	139	15	training	train	VERB
iogr-453	139	16	our	our	PRON
iogr-453	139	17	proposed	propose	VERB
iogr-453	139	18	cnn	cnn	PROPN
iogr-453	139	19	model	model	NOUN
iogr-453	139	20	and	and	CCONJ
iogr-453	139	21	verify	verify	VERB
iogr-453	139	22	its	its	PRON
iogr-453	139	23	effectiveness	effectiveness	NOUN
iogr-453	139	24	.	.	PUNCT
iogr-453	140	1	the	the	DET
iogr-453	140	2	data	datum	NOUN
iogr-453	140	3	set	set	VERB
iogr-453	140	4	includes	include	VERB
iogr-453	140	5	180,000	180,000	NUM
iogr-453	140	6	indicator	indicator	NOUN
iogr-453	140	7	diagram	diagram	NOUN
iogr-453	140	8	from	from	ADP
iogr-453	140	9	39	39	NUM
iogr-453	140	10	wells	well	NOUN
iogr-453	140	11	.	.	PUNCT
iogr-453	141	1	all	all	DET
iogr-453	141	2	indicator	indicator	NOUN
iogr-453	141	3	diagrams	diagram	NOUN
iogr-453	141	4	are	be	AUX
iogr-453	141	5	labelled	label	VERB
iogr-453	141	6	by	by	ADP
iogr-453	141	7	means	mean	NOUN
iogr-453	141	8	of	of	ADP
iogr-453	141	9	manual	manual	ADJ
iogr-453	141	10	identification	identification	NOUN
iogr-453	141	11	and	and	CCONJ
iogr-453	141	12	can	can	AUX
iogr-453	141	13	be	be	AUX
iogr-453	141	14	divided	divide	VERB
iogr-453	141	15	into	into	ADP
iogr-453	141	16	8	8	NUM
iogr-453	141	17	categories	category	NOUN
iogr-453	141	18	.	.	PUNCT
iogr-453	142	1	2/3	2/3	NUM
iogr-453	142	2	of	of	ADP
iogr-453	142	3	each	each	DET
iogr-453	142	4	category	category	NOUN
iogr-453	142	5	are	be	AUX
iogr-453	142	6	randomly	randomly	ADV
iogr-453	142	7	selected	select	VERB
iogr-453	142	8	as	as	ADP
iogr-453	142	9	training	training	NOUN
iogr-453	142	10	set	set	NOUN
iogr-453	142	11	and	and	CCONJ
iogr-453	142	12	the	the	DET
iogr-453	142	13	rest	rest	NOUN
iogr-453	142	14	as	as	ADP
iogr-453	142	15	the	the	DET
iogr-453	142	16	test	test	NOUN
iogr-453	142	17	set	set	NOUN
iogr-453	142	18	.	.	PUNCT
iogr-453	143	1	the	the	DET
iogr-453	143	2	total	total	ADJ
iogr-453	143	3	number	number	NOUN
iogr-453	143	4	of	of	ADP
iogr-453	143	5	training	training	NOUN
iogr-453	143	6	1	1	NUM
iogr-453	143	7	2	2	NUM
iogr-453	143	8	3	3	NUM
iogr-453	143	9	4	4	NUM
iogr-453	143	10	1	1	NUM
iogr-453	143	11	2	2	NUM
iogr-453	143	12	3	3	NUM
iogr-453	143	13	4	4	NUM
iogr-453	143	14	5	5	NUM
iogr-453	143	15	6	6	NUM
iogr-453	143	16	7	7	NUM
iogr-453	143	17	8	8	NUM
iogr-453	143	18	9	9	NUM
iogr-453	143	19	10	10	NUM
iogr-453	143	20	11	11	NUM
iogr-453	143	21	12	12	NUM
iogr-453	143	22	13	13	NUM
iogr-453	143	23	14	14	NUM
iogr-453	143	24	7	7	NUM
iogr-453	143	25	samples	sample	NOUN
iogr-453	143	26	is	be	AUX
iogr-453	143	27	120,000	120,000	NUM
iogr-453	143	28	and	and	CCONJ
iogr-453	143	29	the	the	DET
iogr-453	143	30	number	number	NOUN
iogr-453	143	31	of	of	ADP
iogr-453	143	32	test	test	NOUN
iogr-453	143	33	samples	sample	NOUN
iogr-453	143	34	is	be	AUX
iogr-453	143	35	60,000	60,000	NUM
iogr-453	143	36	.	.	PUNCT
iogr-453	144	1	the	the	DET
iogr-453	144	2	number	number	NOUN
iogr-453	144	3	of	of	ADP
iogr-453	144	4	samples	sample	NOUN
iogr-453	144	5	for	for	ADP
iogr-453	144	6	each	each	DET
iogr-453	144	7	type	type	NOUN
iogr-453	144	8	of	of	ADP
iogr-453	144	9	working	work	VERB
iogr-453	144	10	condition	condition	NOUN
iogr-453	144	11	is	be	AUX
iogr-453	144	12	shown	show	VERB
iogr-453	144	13	in	in	ADP
iogr-453	144	14	figure	figure	NOUN
iogr-453	144	15	5	5	NUM
iogr-453	144	16	.	.	PUNCT
iogr-453	144	17	figure	figure	NOUN
iogr-453	144	18	5	5	NUM
iogr-453	144	19	—	—	PUNCT
iogr-453	144	20	distribution	distribution	NOUN
iogr-453	144	21	of	of	ADP
iogr-453	144	22	experiment	experiment	NOUN
iogr-453	144	23	samples	sample	NOUN
iogr-453	144	24	.	.	PUNCT
iogr-453	145	1	the	the	DET
iogr-453	145	2	structure	structure	NOUN
iogr-453	145	3	of	of	ADP
iogr-453	145	4	cnn	cnn	PROPN
iogr-453	145	5	used	use	VERB
iogr-453	145	6	in	in	ADP
iogr-453	145	7	our	our	PRON
iogr-453	145	8	model	model	NOUN
iogr-453	145	9	is	be	AUX
iogr-453	145	10	lenet-5	lenet-5	PROPN
iogr-453	145	11	,	,	PUNCT
iogr-453	145	12	which	which	PRON
iogr-453	145	13	shows	show	VERB
iogr-453	145	14	good	good	ADJ
iogr-453	145	15	performance	performance	NOUN
iogr-453	145	16	in	in	ADP
iogr-453	145	17	the	the	DET
iogr-453	145	18	experiments	experiment	NOUN
iogr-453	145	19	of	of	ADP
iogr-453	145	20	image	image	NOUN
iogr-453	145	21	recognition	recognition	NOUN
iogr-453	145	22	and	and	CCONJ
iogr-453	145	23	speech	speech	NOUN
iogr-453	145	24	recognition	recognition	NOUN
iogr-453	145	25	.	.	PUNCT
iogr-453	146	1	the	the	DET
iogr-453	146	2	detail	detail	NOUN
iogr-453	146	3	description	description	NOUN
iogr-453	146	4	of	of	ADP
iogr-453	146	5	the	the	DET
iogr-453	146	6	cnn	cnn	PROPN
iogr-453	146	7	is	be	AUX
iogr-453	146	8	given	give	VERB
iogr-453	146	9	in	in	ADP
iogr-453	146	10	section	section	NOUN
iogr-453	146	11	3	3	NUM
iogr-453	146	12	.	.	PUNCT
iogr-453	147	1	before	before	ADP
iogr-453	147	2	training	train	VERB
iogr-453	147	3	our	our	PRON
iogr-453	147	4	cnn	cnn	PROPN
iogr-453	147	5	model	model	NOUN
iogr-453	147	6	,	,	PUNCT
iogr-453	147	7	we	we	PRON
iogr-453	147	8	need	need	VERB
iogr-453	147	9	to	to	PART
iogr-453	147	10	determine	determine	VERB
iogr-453	147	11	the	the	DET
iogr-453	147	12	learning	learning	NOUN
iogr-453	147	13	rate	rate	PROPN
iogr-453	147	14	η	η	PROPN
iogr-453	147	15	and	and	CCONJ
iogr-453	147	16	the	the	DET
iogr-453	147	17	training	training	NOUN
iogr-453	147	18	times	time	NOUN
iogr-453	147	19	s.	s.	PROPN
iogr-453	147	20	for	for	ADP
iogr-453	147	21	the	the	DET
iogr-453	147	22	learning	learning	PROPN
iogr-453	147	23	rate	rate	PROPN
iogr-453	147	24	η	η	PROPN
iogr-453	147	25	,	,	PUNCT
iogr-453	147	26	a	a	DET
iogr-453	147	27	too	too	ADV
iogr-453	147	28	large	large	ADJ
iogr-453	147	29	training	training	NOUN
iogr-453	147	30	rate	rate	NOUN
iogr-453	147	31	may	may	AUX
iogr-453	147	32	lead	lead	VERB
iogr-453	147	33	to	to	ADP
iogr-453	147	34	an	an	DET
iogr-453	147	35	unstable	unstable	ADJ
iogr-453	147	36	training	training	NOUN
iogr-453	147	37	process	process	NOUN
iogr-453	147	38	,	,	PUNCT
iogr-453	147	39	and	and	CCONJ
iogr-453	147	40	a	a	DET
iogr-453	147	41	too	too	ADV
iogr-453	147	42	small	small	ADJ
iogr-453	147	43	rate	rate	NOUN
iogr-453	147	44	will	will	AUX
iogr-453	147	45	slow	slow	VERB
iogr-453	147	46	down	down	ADP
iogr-453	147	47	the	the	DET
iogr-453	147	48	convergence	convergence	NOUN
iogr-453	147	49	rate	rate	NOUN
iogr-453	147	50	of	of	ADP
iogr-453	147	51	training	training	NOUN
iogr-453	147	52	,	,	PUNCT
iogr-453	147	53	hence	hence	ADV
iogr-453	147	54	make	make	VERB
iogr-453	147	55	the	the	DET
iogr-453	147	56	training	training	NOUN
iogr-453	147	57	cycle	cycle	NOUN
iogr-453	147	58	too	too	ADV
iogr-453	147	59	long	long	ADV
iogr-453	147	60	and	and	CCONJ
iogr-453	147	61	is	be	AUX
iogr-453	147	62	easy	easy	ADJ
iogr-453	147	63	to	to	PART
iogr-453	147	64	fall	fall	VERB
iogr-453	147	65	into	into	ADP
iogr-453	147	66	local	local	ADJ
iogr-453	147	67	optima	optima	NOUN
iogr-453	147	68	.	.	PUNCT
iogr-453	148	1	according	accord	VERB
iogr-453	148	2	to	to	ADP
iogr-453	148	3	li	li	PROPN
iogr-453	148	4	’s	’s	PART
iogr-453	148	5	work	work	NOUN
iogr-453	148	6	(	(	PUNCT
iogr-453	148	7	2015	2015	NUM
iogr-453	148	8	)	)	PUNCT
iogr-453	148	9	,	,	PUNCT
iogr-453	148	10	we	we	PRON
iogr-453	148	11	choose	choose	VERB
iogr-453	148	12	the	the	DET
iogr-453	148	13	learning	learning	NOUN
iogr-453	148	14	rate	rate	NOUN
iogr-453	148	15	η=0.5	η=0.5	NOUN
iogr-453	148	16	in	in	ADP
iogr-453	148	17	our	our	PRON
iogr-453	148	18	model	model	NOUN
iogr-453	148	19	.	.	PUNCT
iogr-453	149	1	for	for	ADP
iogr-453	149	2	the	the	DET
iogr-453	149	3	training	training	NOUN
iogr-453	149	4	times	time	NOUN
iogr-453	149	5	s	s	PART
iogr-453	149	6	,	,	PUNCT
iogr-453	149	7	the	the	DET
iogr-453	149	8	training	training	NOUN
iogr-453	149	9	times	time	NOUN
iogr-453	149	10	should	should	AUX
iogr-453	149	11	be	be	AUX
iogr-453	149	12	decided	decide	VERB
iogr-453	149	13	carefully	carefully	ADV
iogr-453	149	14	to	to	PART
iogr-453	149	15	make	make	VERB
iogr-453	149	16	sure	sure	ADJ
iogr-453	149	17	cnn	cnn	PROPN
iogr-453	149	18	will	will	AUX
iogr-453	149	19	be	be	AUX
iogr-453	149	20	trained	train	VERB
iogr-453	149	21	adequately	adequately	ADV
iogr-453	149	22	without	without	ADP
iogr-453	149	23	overfitting	overfitte	VERB
iogr-453	149	24	.	.	PUNCT
iogr-453	150	1	according	accord	VERB
iogr-453	150	2	to	to	ADP
iogr-453	150	3	li	li	PROPN
iogr-453	150	4	’s	’s	PART
iogr-453	150	5	work	work	NOUN
iogr-453	150	6	(	(	PUNCT
iogr-453	150	7	2015	2015	NUM
iogr-453	150	8	)	)	PUNCT
iogr-453	150	9	,	,	PUNCT
iogr-453	150	10	we	we	PRON
iogr-453	150	11	choose	choose	VERB
iogr-453	150	12	the	the	DET
iogr-453	150	13	training	training	NOUN
iogr-453	150	14	times	time	NOUN
iogr-453	150	15	s=20	s=20	PROPN
iogr-453	150	16	in	in	ADP
iogr-453	150	17	our	our	PRON
iogr-453	150	18	model	model	NOUN
iogr-453	150	19	.	.	PUNCT
iogr-453	151	1	the	the	DET
iogr-453	151	2	training	training	NOUN
iogr-453	151	3	time	time	NOUN
iogr-453	151	4	for	for	ADP
iogr-453	151	5	our	our	PRON
iogr-453	151	6	cnn	cnn	PROPN
iogr-453	151	7	model	model	NOUN
iogr-453	151	8	is	be	AUX
iogr-453	151	9	6,235s	6,235s	NUM
iogr-453	151	10	.	.	PUNCT
iogr-453	152	1	when	when	SCONJ
iogr-453	152	2	training	training	NOUN
iogr-453	152	3	process	process	NOUN
iogr-453	152	4	is	be	AUX
iogr-453	152	5	completed	complete	VERB
iogr-453	152	6	,	,	PUNCT
iogr-453	152	7	the	the	DET
iogr-453	152	8	test	test	NOUN
iogr-453	152	9	samples	sample	NOUN
iogr-453	152	10	and	and	CCONJ
iogr-453	152	11	training	training	NOUN
iogr-453	152	12	samples	sample	NOUN
iogr-453	152	13	are	be	AUX
iogr-453	152	14	used	use	VERB
iogr-453	152	15	to	to	PART
iogr-453	152	16	verify	verify	VERB
iogr-453	152	17	the	the	DET
iogr-453	152	18	identification	identification	NOUN
iogr-453	152	19	accuracy	accuracy	NOUN
iogr-453	152	20	of	of	ADP
iogr-453	152	21	the	the	DET
iogr-453	152	22	model	model	NOUN
iogr-453	152	23	,	,	PUNCT
iogr-453	152	24	results	result	NOUN
iogr-453	152	25	show	show	VERB
iogr-453	152	26	that	that	SCONJ
iogr-453	152	27	the	the	DET
iogr-453	152	28	recognition	recognition	NOUN
iogr-453	152	29	error	error	NOUN
iogr-453	152	30	of	of	ADP
iogr-453	152	31	the	the	DET
iogr-453	152	32	training	training	NOUN
iogr-453	152	33	sample	sample	NOUN
iogr-453	152	34	is	be	AUX
iogr-453	152	35	1.79	1.79	NUM
iogr-453	152	36	%	%	NOUN
iogr-453	152	37	,	,	PUNCT
iogr-453	152	38	and	and	CCONJ
iogr-453	152	39	the	the	DET
iogr-453	152	40	recognition	recognition	NOUN
iogr-453	152	41	error	error	NOUN
iogr-453	152	42	of	of	ADP
iogr-453	152	43	the	the	DET
iogr-453	152	44	test	test	NOUN
iogr-453	152	45	sample	sample	NOUN
iogr-453	152	46	is	be	AUX
iogr-453	152	47	2.00	2.00	NUM
iogr-453	152	48	%	%	NOUN
iogr-453	152	49	.	.	PUNCT
iogr-453	153	1	the	the	DET
iogr-453	153	2	accuracy	accuracy	NOUN
iogr-453	153	3	of	of	ADP
iogr-453	153	4	the	the	DET
iogr-453	153	5	cnn	cnn	PROPN
iogr-453	153	6	-	-	PUNCT
iogr-453	153	7	based	base	VERB
iogr-453	153	8	indicator	indicator	NOUN
iogr-453	153	9	diagram	diagram	PROPN
iogr-453	153	10	recognition	recognition	NOUN
iogr-453	153	11	model	model	NOUN
iogr-453	153	12	is	be	AUX
iogr-453	153	13	more	more	ADJ
iogr-453	153	14	than	than	ADP
iogr-453	153	15	90	90	NUM
iogr-453	153	16	%	%	NOUN
iogr-453	153	17	.	.	PUNCT
iogr-453	154	1	the	the	DET
iogr-453	154	2	average	average	ADJ
iogr-453	154	3	time	time	NOUN
iogr-453	154	4	required	require	VERB
iogr-453	154	5	for	for	ADP
iogr-453	154	6	our	our	PRON
iogr-453	154	7	cnn	cnn	PROPN
iogr-453	154	8	model	model	NOUN
iogr-453	154	9	to	to	PART
iogr-453	154	10	identify	identify	VERB
iogr-453	154	11	an	an	DET
iogr-453	154	12	indicator	indicator	NOUN
iogr-453	154	13	diagram	diagram	NOUN
iogr-453	154	14	is	be	AUX
iogr-453	154	15	3.0	3.0	NUM
iogr-453	154	16	ms	ms	NOUN
iogr-453	154	17	.	.	PROPN
iogr-453	154	18	from	from	ADP
iogr-453	154	19	the	the	DET
iogr-453	154	20	result	result	NOUN
iogr-453	154	21	,	,	PUNCT
iogr-453	154	22	we	we	PRON
iogr-453	154	23	can	can	AUX
iogr-453	154	24	see	see	VERB
iogr-453	154	25	that	that	SCONJ
iogr-453	154	26	the	the	DET
iogr-453	154	27	performance	performance	NOUN
iogr-453	154	28	of	of	ADP
iogr-453	154	29	cnn	cnn	PROPN
iogr-453	154	30	model	model	NOUN
iogr-453	154	31	is	be	AUX
iogr-453	154	32	excellent	excellent	ADJ
iogr-453	154	33	.	.	PUNCT
iogr-453	155	1	the	the	DET
iogr-453	155	2	cnn	cnn	PROPN
iogr-453	155	3	-	-	PUNCT
iogr-453	155	4	based	base	VERB
iogr-453	155	5	indicator	indicator	NOUN
iogr-453	155	6	diagram	diagram	NOUN
iogr-453	155	7	classification	classification	NOUN
iogr-453	155	8	and	and	CCONJ
iogr-453	155	9	recognition	recognition	NOUN
iogr-453	155	10	model	model	NOUN
iogr-453	155	11	can	can	AUX
iogr-453	155	12	be	be	AUX
iogr-453	155	13	combined	combine	VERB
iogr-453	155	14	with	with	ADP
iogr-453	155	15	the	the	DET
iogr-453	155	16	real	real	ADJ
iogr-453	155	17	-	-	PUNCT
iogr-453	155	18	time	time	NOUN
iogr-453	155	19	data	datum	NOUN
iogr-453	155	20	acquisition	acquisition	NOUN
iogr-453	155	21	system	system	NOUN
iogr-453	155	22	of	of	ADP
iogr-453	155	23	the	the	DET
iogr-453	155	24	well	well	NOUN
iogr-453	155	25	to	to	PART
iogr-453	155	26	realize	realize	VERB
iogr-453	155	27	the	the	DET
iogr-453	155	28	real	real	ADJ
iogr-453	155	29	-	-	PUNCT
iogr-453	155	30	time	time	NOUN
iogr-453	155	31	intelligent	intelligent	ADJ
iogr-453	155	32	monitoring	monitoring	NOUN
iogr-453	155	33	of	of	ADP
iogr-453	155	34	the	the	DET
iogr-453	155	35	oil	oil	NOUN
iogr-453	155	36	well	well	NOUN
iogr-453	155	37	working	working	NOUN
iogr-453	155	38	condition	condition	NOUN
iogr-453	155	39	.	.	PUNCT
iogr-453	156	1	conclusions	conclusion	NOUN
iogr-453	156	2	based	base	VERB
iogr-453	156	3	on	on	ADP
iogr-453	156	4	the	the	DET
iogr-453	156	5	theory	theory	NOUN
iogr-453	156	6	of	of	ADP
iogr-453	156	7	deep	deep	ADJ
iogr-453	156	8	learning	learning	NOUN
iogr-453	156	9	,	,	PUNCT
iogr-453	156	10	this	this	DET
iogr-453	156	11	paper	paper	NOUN
iogr-453	156	12	proposes	propose	VERB
iogr-453	156	13	the	the	DET
iogr-453	156	14	use	use	NOUN
iogr-453	156	15	of	of	ADP
iogr-453	156	16	convolution	convolution	NOUN
iogr-453	156	17	neural	neural	ADJ
iogr-453	156	18	network	network	NOUN
iogr-453	156	19	method	method	NOUN
iogr-453	156	20	to	to	PART
iogr-453	156	21	study	study	VERB
iogr-453	156	22	the	the	DET
iogr-453	156	23	massive	massive	ADJ
iogr-453	156	24	indicator	indicator	NOUN
iogr-453	156	25	diagram	diagram	NOUN
iogr-453	156	26	collected	collect	VERB
iogr-453	156	27	in	in	ADP
iogr-453	156	28	the	the	DET
iogr-453	156	29	pumping	pump	VERB
iogr-453	156	30	unit	unit	NOUN
iogr-453	156	31	of	of	ADP
iogr-453	156	32	oil	oil	NOUN
iogr-453	156	33	well	well	ADV
iogr-453	156	34	,	,	PUNCT
iogr-453	156	35	and	and	CCONJ
iogr-453	156	36	identify	identify	VERB
iogr-453	156	37	the	the	DET
iogr-453	156	38	working	work	VERB
iogr-453	156	39	conditions	condition	NOUN
iogr-453	156	40	of	of	ADP
iogr-453	156	41	the	the	DET
iogr-453	156	42	oil	oil	NOUN
iogr-453	156	43	well	well	NOUN
iogr-453	156	44	.	.	PUNCT
iogr-453	157	1	the	the	DET
iogr-453	157	2	structure	structure	NOUN
iogr-453	157	3	and	and	CCONJ
iogr-453	157	4	principle	principle	NOUN
iogr-453	157	5	of	of	ADP
iogr-453	157	6	cnn	cnn	PROPN
iogr-453	157	7	are	be	AUX
iogr-453	157	8	introduced	introduce	VERB
iogr-453	157	9	and	and	CCONJ
iogr-453	157	10	the	the	DET
iogr-453	157	11	cnn	cnn	PROPN
iogr-453	157	12	based	base	VERB
iogr-453	157	13	indicator	indicator	PROPN
iogr-453	157	14	diagram	diagram	PROPN
iogr-453	157	15	recognition	recognition	NOUN
iogr-453	157	16	model	model	NOUN
iogr-453	157	17	is	be	AUX
iogr-453	157	18	established	establish	VERB
iogr-453	157	19	.	.	PUNCT
iogr-453	158	1	the	the	DET
iogr-453	158	2	accuracy	accuracy	NOUN
iogr-453	158	3	of	of	ADP
iogr-453	158	4	the	the	DET
iogr-453	158	5	cnn	cnn	PROPN
iogr-453	158	6	-	-	PUNCT
iogr-453	158	7	based	base	VERB
iogr-453	158	8	indicator	indicator	NOUN
iogr-453	158	9	diagram	diagram	NOUN
iogr-453	158	10	recognition	recognition	NOUN
iogr-453	158	11	0	0	NUM
iogr-453	158	12	10000	10000	NUM
iogr-453	158	13	20000	20000	NUM
iogr-453	158	14	30000	30000	NUM
iogr-453	158	15	40000	40000	NUM
iogr-453	158	16	50000	50000	NUM
iogr-453	158	17	unknown	unknown	ADJ
iogr-453	158	18	normal	normal	ADJ
iogr-453	158	19	insufficient	insufficient	ADJ
iogr-453	158	20	liquid	liquid	ADJ
iogr-453	158	21	gas	gas	NOUN
iogr-453	158	22	influence	influence	NOUN
iogr-453	158	23	travelling	travel	VERB
iogr-453	158	24	valve	valve	NOUN
iogr-453	158	25	loss	loss	NOUN
iogr-453	158	26	standing	stand	VERB
iogr-453	158	27	valve	valve	NOUN
iogr-453	158	28	loss	loss	NOUN
iogr-453	158	29	piston	piston	NOUN
iogr-453	158	30	out	out	ADP
iogr-453	158	31	gas	gas	NOUN
iogr-453	158	32	locking	locking	NOUN
iogr-453	158	33	number	number	NOUN
iogr-453	158	34	of	of	ADP
iogr-453	158	35	training	training	NOUN
iogr-453	158	36	samples	sample	NOUN
iogr-453	158	37	number	number	NOUN
iogr-453	158	38	of	of	ADP
iogr-453	158	39	test	test	NOUN
iogr-453	158	40	samples	sample	NOUN
iogr-453	158	41	8	8	NUM
iogr-453	158	42	model	model	NOUN
iogr-453	158	43	is	be	AUX
iogr-453	158	44	more	more	ADJ
iogr-453	158	45	than	than	ADP
iogr-453	158	46	90	90	NUM
iogr-453	158	47	%	%	NOUN
iogr-453	158	48	.	.	PUNCT
iogr-453	159	1	the	the	DET
iogr-453	159	2	efficiency	efficiency	NOUN
iogr-453	159	3	of	of	ADP
iogr-453	159	4	the	the	DET
iogr-453	159	5	identification	identification	NOUN
iogr-453	159	6	process	process	NOUN
iogr-453	159	7	is	be	AUX
iogr-453	159	8	excellent	excellent	ADJ
iogr-453	159	9	.	.	PUNCT
iogr-453	160	1	the	the	DET
iogr-453	160	2	cnn	cnn	PROPN
iogr-453	160	3	based	base	VERB
iogr-453	160	4	indicator	indicator	PROPN
iogr-453	160	5	diagram	diagram	PROPN
iogr-453	160	6	recognition	recognition	NOUN
iogr-453	160	7	model	model	NOUN
iogr-453	160	8	can	can	AUX
iogr-453	160	9	be	be	AUX
iogr-453	160	10	combined	combine	VERB
iogr-453	160	11	with	with	ADP
iogr-453	160	12	the	the	DET
iogr-453	160	13	real	real	ADJ
iogr-453	160	14	-	-	PUNCT
iogr-453	160	15	time	time	NOUN
iogr-453	160	16	data	datum	NOUN
iogr-453	160	17	acquisition	acquisition	NOUN
iogr-453	160	18	system	system	NOUN
iogr-453	160	19	of	of	ADP
iogr-453	160	20	the	the	DET
iogr-453	160	21	well	well	NOUN
iogr-453	160	22	to	to	PART
iogr-453	160	23	realize	realize	VERB
iogr-453	160	24	the	the	DET
iogr-453	160	25	real	real	ADJ
iogr-453	160	26	-	-	PUNCT
iogr-453	160	27	time	time	NOUN
iogr-453	160	28	intelligent	intelligent	ADJ
iogr-453	160	29	monitoring	monitoring	NOUN
iogr-453	160	30	of	of	ADP
iogr-453	160	31	the	the	DET
iogr-453	160	32	oil	oil	NOUN
iogr-453	160	33	well	well	NOUN
iogr-453	160	34	working	working	NOUN
iogr-453	160	35	condition	condition	NOUN
iogr-453	160	36	.	.	PUNCT
iogr-453	161	1	acknowledgments	acknowledgment	NOUN
iogr-453	161	2	this	this	DET
iogr-453	161	3	work	work	NOUN
iogr-453	161	4	is	be	AUX
iogr-453	161	5	supported	support	VERB
iogr-453	161	6	by	by	ADP
iogr-453	161	7	open	open	ADJ
iogr-453	161	8	fund	fund	NOUN
iogr-453	161	9	(	(	PUNCT
iogr-453	161	10	plc20190803	plc20190803	NOUN
iogr-453	161	11	)	)	PUNCT
iogr-453	161	12	of	of	ADP
iogr-453	161	13	state	state	NOUN
iogr-453	161	14	key	key	ADJ
iogr-453	161	15	laboratory	laboratory	NOUN
iogr-453	161	16	of	of	ADP
iogr-453	161	17	oil	oil	NOUN
iogr-453	161	18	and	and	CCONJ
iogr-453	161	19	gas	gas	NOUN
iogr-453	161	20	reservoir	reservoir	NOUN
iogr-453	161	21	geology	geology	NOUN
iogr-453	161	22	and	and	CCONJ
iogr-453	161	23	exploitation	exploitation	NOUN
iogr-453	161	24	(	(	PUNCT
iogr-453	161	25	chengdu	chengdu	PROPN
iogr-453	161	26	university	university	PROPN
iogr-453	161	27	of	of	ADP
iogr-453	161	28	technology	technology	NOUN
iogr-453	161	29	)	)	PUNCT
iogr-453	161	30	and	and	CCONJ
iogr-453	161	31	the	the	DET
iogr-453	161	32	natural	natural	ADJ
iogr-453	161	33	science	science	NOUN
iogr-453	161	34	research	research	NOUN
iogr-453	161	35	project	project	NOUN
iogr-453	161	36	of	of	ADP
iogr-453	161	37	higher	high	ADJ
iogr-453	161	38	education	education	NOUN
iogr-453	161	39	of	of	ADP
iogr-453	161	40	jiangsu	jiangsu	PROPN
iogr-453	161	41	,	,	PUNCT
iogr-453	161	42	china	china	PROPN
iogr-453	161	43	(	(	PUNCT
iogr-453	161	44	no	no	INTJ
iogr-453	161	45	.	.	PUNCT
iogr-453	161	46	17kjb440001	17kjb440001	NUM
iogr-453	161	47	)	)	PUNCT
iogr-453	161	48	.	.	PUNCT
iogr-453	162	1	we	we	PRON
iogr-453	162	2	would	would	AUX
iogr-453	162	3	like	like	VERB
iogr-453	162	4	to	to	PART
iogr-453	162	5	thank	thank	VERB
iogr-453	162	6	luming	lume	VERB
iogr-453	162	7	oil	oil	NOUN
iogr-453	162	8	and	and	CCONJ
iogr-453	162	9	gas	gas	NOUN
iogr-453	162	10	exploration	exploration	NOUN
iogr-453	162	11	and	and	CCONJ
iogr-453	162	12	development	development	PROPN
iogr-453	162	13	co.	co.	PROPN
iogr-453	162	14	,	,	PUNCT
iogr-453	162	15	ltd	ltd	PROPN
iogr-453	162	16	,	,	PUNCT
iogr-453	162	17	shengli	shengli	PROPN
iogr-453	162	18	oilfield	oilfield	NOUN
iogr-453	162	19	which	which	PRON
iogr-453	162	20	provides	provide	VERB
iogr-453	162	21	experimental	experimental	ADJ
iogr-453	162	22	data	datum	NOUN
iogr-453	162	23	.	.	PUNCT
iogr-453	163	1	conflicts	conflict	NOUN
iogr-453	163	2	of	of	ADP
iogr-453	163	3	interest	interest	NOUN
iogr-453	163	4	the	the	DET
iogr-453	163	5	author(s	author(s	NOUN
iogr-453	163	6	)	)	PUNCT
iogr-453	163	7	declare	declare	VERB
iogr-453	163	8	that	that	SCONJ
iogr-453	163	9	they	they	PRON
iogr-453	163	10	have	have	VERB
iogr-453	163	11	no	no	DET
iogr-453	163	12	conflicting	conflict	VERB
iogr-453	163	13	interests	interest	NOUN
iogr-453	163	14	.	.	PUNCT
iogr-453	164	1	references	reference	NOUN
iogr-453	164	2	aaron	aaron	PROPN
iogr-453	164	3	,	,	PUNCT
iogr-453	164	4	v.d.o	v.d.o	NOUN
iogr-453	164	5	.	.	PUNCT
iogr-453	164	6	,	,	PUNCT
iogr-453	164	7	dieleman	dieleman	PROPN
iogr-453	164	8	,	,	PUNCT
iogr-453	164	9	s.	s.	PROPN
iogr-453	164	10	,	,	PUNCT
iogr-453	164	11	and	and	CCONJ
iogr-453	164	12	schrauwen	schrauwen	NOUN
iogr-453	164	13	,	,	PUNCT
iogr-453	164	14	b.	b.	PROPN
iogr-453	164	15	2013	2013	NUM
iogr-453	164	16	.	.	PUNCT
iogr-453	165	1	deep	deep	ADJ
iogr-453	165	2	content	content	NOUN
iogr-453	165	3	-	-	PUNCT
iogr-453	165	4	based	base	VERB
iogr-453	165	5	music	music	NOUN
iogr-453	165	6	recommendation	recommendation	NOUN
iogr-453	165	7	.	.	PUNCT
iogr-453	166	1	advances	advance	NOUN
iogr-453	166	2	in	in	ADP
iogr-453	166	3	neural	neural	ADJ
iogr-453	166	4	information	information	NOUN
iogr-453	166	5	processing	processing	NOUN
iogr-453	166	6	systems	system	NOUN
iogr-453	166	7	2013(26	2013(26	NUM
iogr-453	166	8	):	):	PUNCT
iogr-453	166	9	2643	2643	NUM
iogr-453	166	10	-	-	SYM
iogr-453	166	11	2651	2651	NUM
iogr-453	166	12	.	.	PUNCT
iogr-453	167	1	collobert	collobert	PROPN
iogr-453	167	2	,	,	PUNCT
iogr-453	167	3	r.	r.	PROPN
iogr-453	167	4	and	and	CCONJ
iogr-453	167	5	weston	weston	PROPN
iogr-453	167	6	,	,	PUNCT
iogr-453	167	7	j.	j.	PROPN
iogr-453	167	8	2008	2008	NUM
iogr-453	167	9	.	.	PUNCT
iogr-453	168	1	a	a	DET
iogr-453	168	2	unified	unified	ADJ
iogr-453	168	3	architecture	architecture	NOUN
iogr-453	168	4	for	for	ADP
iogr-453	168	5	natural	natural	ADJ
iogr-453	168	6	language	language	NOUN
iogr-453	168	7	processing	processing	NOUN
iogr-453	168	8	:	:	PUNCT
iogr-453	168	9	deep	deep	ADJ
iogr-453	168	10	neural	neural	ADJ
iogr-453	168	11	networks	network	NOUN
iogr-453	168	12	with	with	ADP
iogr-453	168	13	multitask	multitask	ADJ
iogr-453	168	14	learning	learning	NOUN
iogr-453	168	15	.	.	PUNCT
iogr-453	169	1	paper	paper	NOUN
iogr-453	169	2	presented	present	VERB
iogr-453	169	3	at	at	ADP
iogr-453	169	4	25th	25th	ADJ
iogr-453	169	5	international	international	ADJ
iogr-453	169	6	conference	conference	NOUN
iogr-453	169	7	on	on	ADP
iogr-453	169	8	machine	machine	NOUN
iogr-453	169	9	learning	learning	NOUN
iogr-453	169	10	,	,	PUNCT
iogr-453	169	11	new	new	PROPN
iogr-453	169	12	york	york	PROPN
iogr-453	169	13	,	,	PUNCT
iogr-453	169	14	united	united	PROPN
iogr-453	169	15	states	states	PROPN
iogr-453	169	16	,	,	PUNCT
iogr-453	169	17	23	23	NUM
iogr-453	169	18	-	-	SYM
iogr-453	169	19	25	25	NUM
iogr-453	169	20	july	july	PROPN
iogr-453	169	21	.	.	PUNCT
iogr-453	170	1	cun	cun	PROPN
iogr-453	170	2	,	,	PUNCT
iogr-453	170	3	y.l	y.l	PROPN
iogr-453	170	4	.	.	PROPN
iogr-453	170	5	,	,	PUNCT
iogr-453	170	6	boser	boser	PROPN
iogr-453	170	7	,	,	PUNCT
iogr-453	170	8	b.	b.	PROPN
iogr-453	170	9	,	,	PUNCT
iogr-453	170	10	denker	denker	PROPN
iogr-453	170	11	,	,	PUNCT
iogr-453	170	12	j.s	j.s	PROPN
iogr-453	170	13	.	.	PROPN
iogr-453	170	14	,	,	PUNCT
iogr-453	170	15	et	et	PROPN
iogr-453	170	16	al	al	PROPN
iogr-453	170	17	.	.	PROPN
iogr-453	170	18	1990	1990	NUM
iogr-453	170	19	.	.	PUNCT
iogr-453	171	1	handwritten	handwritten	ADJ
iogr-453	171	2	digit	digit	NOUN
iogr-453	171	3	recognition	recognition	NOUN
iogr-453	171	4	with	with	ADP
iogr-453	171	5	a	a	DET
iogr-453	171	6	back	back	ADJ
iogr-453	171	7	-	-	PUNCT
iogr-453	171	8	propagation	propagation	NOUN
iogr-453	171	9	network	network	NOUN
iogr-453	171	10	.	.	PUNCT
iogr-453	172	1	advances	advance	NOUN
iogr-453	172	2	in	in	ADP
iogr-453	172	3	neural	neural	ADJ
iogr-453	172	4	information	information	NOUN
iogr-453	172	5	processing	processing	NOUN
iogr-453	172	6	systems	system	NOUN
iogr-453	172	7	2(2	2(2	NUM
iogr-453	172	8	):	):	PUNCT
iogr-453	172	9	396–404	396–404	NUM
iogr-453	172	10	.	.	PUNCT
iogr-453	173	1	elsawy	elsawy	PROPN
iogr-453	173	2	,	,	PUNCT
iogr-453	173	3	a.	a.	NOUN
iogr-453	173	4	,	,	PUNCT
iogr-453	173	5	elbakry	elbakry	NOUN
iogr-453	173	6	,	,	PUNCT
iogr-453	173	7	h.	h.	PROPN
iogr-453	173	8	,	,	PUNCT
iogr-453	173	9	and	and	CCONJ
iogr-453	173	10	loey	loey	PROPN
iogr-453	173	11	,	,	PUNCT
iogr-453	173	12	m.	m.	NOUN
iogr-453	173	13	2016	2016	NUM
iogr-453	173	14	.	.	PUNCT
iogr-453	174	1	cnn	cnn	PROPN
iogr-453	174	2	for	for	ADP
iogr-453	174	3	handwritten	handwritten	ADJ
iogr-453	174	4	arabic	arabic	ADJ
iogr-453	174	5	digits	digit	NOUN
iogr-453	174	6	recognition	recognition	NOUN
iogr-453	174	7	based	base	VERB
iogr-453	174	8	on	on	ADP
iogr-453	174	9	lenet-5	lenet-5	PROPN
iogr-453	174	10	.	.	PUNCT
iogr-453	175	1	paper	paper	NOUN
iogr-453	175	2	presented	present	VERB
iogr-453	175	3	at	at	ADP
iogr-453	175	4	international	international	ADJ
iogr-453	175	5	conference	conference	NOUN
iogr-453	175	6	on	on	ADP
iogr-453	175	7	advanced	advanced	ADJ
iogr-453	175	8	intelligent	intelligent	ADJ
iogr-453	175	9	systems	system	NOUN
iogr-453	175	10	and	and	CCONJ
iogr-453	175	11	informatics	informatic	NOUN
iogr-453	175	12	,	,	PUNCT
iogr-453	175	13	cairo	cairo	PROPN
iogr-453	175	14	,	,	PUNCT
iogr-453	175	15	egypt	egypt	PROPN
iogr-453	175	16	,	,	PUNCT
iogr-453	175	17	20	20	NUM
iogr-453	175	18	-	-	SYM
iogr-453	175	19	23	23	NUM
iogr-453	175	20	october	october	PROPN
iogr-453	175	21	.	.	PUNCT
iogr-453	176	1	gong	gong	PROPN
iogr-453	176	2	,	,	PUNCT
iogr-453	176	3	j.	j.	PROPN
iogr-453	176	4	2006	2006	NUM
iogr-453	176	5	.	.	PUNCT
iogr-453	177	1	fault	fault	VERB
iogr-453	177	2	diagnosis	diagnosis	NOUN
iogr-453	177	3	of	of	ADP
iogr-453	177	4	sucker	sucker	NOUN
iogr-453	177	5	oil	oil	NOUN
iogr-453	177	6	well	well	ADV
iogr-453	177	7	based	base	VERB
iogr-453	177	8	on	on	ADP
iogr-453	177	9	expert	expert	NOUN
iogr-453	177	10	system	system	NOUN
iogr-453	177	11	.	.	PUNCT
iogr-453	178	1	master	master	NOUN
iogr-453	178	2	thesis	thesis	PROPN
iogr-453	178	3	,	,	PUNCT
iogr-453	178	4	china	china	PROPN
iogr-453	178	5	university	university	PROPN
iogr-453	178	6	of	of	ADP
iogr-453	178	7	petroleum	petroleum	NOUN
iogr-453	178	8	(	(	PUNCT
iogr-453	178	9	east	east	PROPN
iogr-453	178	10	china	china	PROPN
iogr-453	178	11	)	)	PUNCT
iogr-453	178	12	,	,	PUNCT
iogr-453	178	13	qingdao	qingdao	PROPN
iogr-453	178	14	,	,	PUNCT
iogr-453	178	15	china	china	PROPN
iogr-453	178	16	.	.	PUNCT
iogr-453	179	1	jarrett	jarrett	PROPN
iogr-453	179	2	,	,	PUNCT
iogr-453	179	3	k.	k.	PROPN
iogr-453	179	4	,	,	PUNCT
iogr-453	179	5	kavukcuoglu	kavukcuoglu	PROPN
iogr-453	179	6	,	,	PUNCT
iogr-453	179	7	k.	k.	PROPN
iogr-453	179	8	,	,	PUNCT
iogr-453	179	9	ranzato	ranzato	NOUN
iogr-453	179	10	,	,	PUNCT
iogr-453	179	11	m.	m.	NOUN
iogr-453	179	12	,	,	PUNCT
iogr-453	179	13	et	et	PROPN
iogr-453	179	14	al	al	PROPN
iogr-453	179	15	.	.	PROPN
iogr-453	179	16	2010	2010	NUM
iogr-453	179	17	.	.	PUNCT
iogr-453	180	1	what	what	PRON
iogr-453	180	2	is	be	AUX
iogr-453	180	3	the	the	DET
iogr-453	180	4	best	good	ADJ
iogr-453	180	5	multi	multi	ADJ
iogr-453	180	6	-	-	ADJ
iogr-453	180	7	stage	stage	ADJ
iogr-453	180	8	architecture	architecture	NOUN
iogr-453	180	9	for	for	ADP
iogr-453	180	10	object	object	NOUN
iogr-453	180	11	recognition	recognition	NOUN
iogr-453	180	12	?	?	PUNCT
iogr-453	181	1	paper	paper	NOUN
iogr-453	181	2	presented	present	VERB
iogr-453	181	3	at	at	ADP
iogr-453	181	4	ieee	ieee	PROPN
iogr-453	181	5	international	international	PROPN
iogr-453	181	6	conference	conference	NOUN
iogr-453	181	7	on	on	ADP
iogr-453	181	8	computer	computer	NOUN
iogr-453	181	9	vision	vision	NOUN
iogr-453	181	10	,	,	PUNCT
iogr-453	181	11	kyoto	kyoto	PROPN
iogr-453	181	12	,	,	PUNCT
iogr-453	181	13	japan	japan	PROPN
iogr-453	181	14	,	,	PUNCT
iogr-453	181	15	12	12	NUM
iogr-453	181	16	-	-	SYM
iogr-453	181	17	15	15	NUM
iogr-453	181	18	may	may	NOUN
iogr-453	181	19	.	.	PUNCT
iogr-453	182	1	lecun	lecun	PROPN
iogr-453	182	2	,	,	PUNCT
iogr-453	182	3	y.	y.	PROPN
iogr-453	182	4	,	,	PUNCT
iogr-453	182	5	bottou	bottou	PROPN
iogr-453	182	6	,	,	PUNCT
iogr-453	182	7	l.	l.	PROPN
iogr-453	182	8	,	,	PUNCT
iogr-453	182	9	bengio	bengio	PROPN
iogr-453	182	10	,	,	PUNCT
iogr-453	182	11	y.	y.	PROPN
iogr-453	182	12	,	,	PUNCT
iogr-453	182	13	et	et	PROPN
iogr-453	182	14	al	al	PROPN
iogr-453	182	15	.	.	PROPN
iogr-453	182	16	1998	1998	NUM
iogr-453	182	17	.	.	PUNCT
iogr-453	183	1	gradient	gradient	NOUN
iogr-453	183	2	-	-	PUNCT
iogr-453	183	3	based	base	VERB
iogr-453	183	4	learning	learning	NOUN
iogr-453	183	5	applied	apply	VERB
iogr-453	183	6	to	to	ADP
iogr-453	183	7	document	document	NOUN
iogr-453	183	8	recognition	recognition	NOUN
iogr-453	183	9	.	.	PUNCT
iogr-453	184	1	proceedings	proceeding	NOUN
iogr-453	184	2	of	of	ADP
iogr-453	184	3	the	the	DET
iogr-453	184	4	ieee	ieee	NOUN
iogr-453	184	5	86(11	86(11	NUM
iogr-453	184	6	):	):	PUNCT
iogr-453	184	7	2278–2324	2278–2324	NUM
iogr-453	184	8	.	.	PUNCT
iogr-453	185	1	li	li	PROPN
iogr-453	185	2	,	,	PUNCT
iogr-453	185	3	c.	c.	PROPN
iogr-453	185	4	,	,	PUNCT
iogr-453	185	5	su	su	PROPN
iogr-453	185	6	,	,	PUNCT
iogr-453	185	7	x.	x.	PROPN
iogr-453	185	8	,	,	PUNCT
iogr-453	185	9	wei	wei	PROPN
iogr-453	185	10	,	,	PUNCT
iogr-453	185	11	j.	j.	PROPN
iogr-453	185	12	,	,	PUNCT
iogr-453	185	13	et	et	PROPN
iogr-453	185	14	al	al	PROPN
iogr-453	185	15	.	.	PROPN
iogr-453	185	16	2014	2014	NUM
iogr-453	185	17	.	.	PUNCT
iogr-453	186	1	research	research	NOUN
iogr-453	186	2	on	on	ADP
iogr-453	186	3	diagrams	diagram	NOUN
iogr-453	186	4	identification	identification	NOUN
iogr-453	186	5	of	of	ADP
iogr-453	186	6	pumping	pump	VERB
iogr-453	186	7	unit	unit	NOUN
iogr-453	186	8	based	base	VERB
iogr-453	186	9	on	on	ADP
iogr-453	186	10	support	support	NOUN
iogr-453	186	11	vector	vector	NOUN
iogr-453	186	12	machine	machine	NOUN
iogr-453	186	13	.	.	PUNCT
iogr-453	187	1	computer	computer	NOUN
iogr-453	187	2	technology	technology	NOUN
iogr-453	187	3	and	and	CCONJ
iogr-453	187	4	development	development	NOUN
iogr-453	187	5	24(8	24(8	NUM
iogr-453	187	6	):	):	PUNCT
iogr-453	187	7	215–222	215–222	NUM
iogr-453	187	8	.	.	PUNCT
iogr-453	188	1	li	li	PROPN
iogr-453	188	2	,	,	PUNCT
iogr-453	188	3	p.	p.	NOUN
iogr-453	188	4	2015	2015	NUM
iogr-453	188	5	.	.	PUNCT
iogr-453	189	1	pump	pump	PROPN
iogr-453	189	2	indicator	indicator	PROPN
iogr-453	189	3	diagram	diagram	PROPN
iogr-453	189	4	intelligent	intelligent	ADJ
iogr-453	189	5	identification	identification	NOUN
iogr-453	189	6	based	base	VERB
iogr-453	189	7	on	on	ADP
iogr-453	189	8	deep	deep	ADJ
iogr-453	189	9	learning	learning	NOUN
iogr-453	189	10	network	network	NOUN
iogr-453	189	11	.	.	PUNCT
iogr-453	190	1	master	master	NOUN
iogr-453	190	2	thesis	thesis	PROPN
iogr-453	190	3	,	,	PUNCT
iogr-453	190	4	henan	henan	PROPN
iogr-453	190	5	university	university	PROPN
iogr-453	190	6	of	of	ADP
iogr-453	190	7	science	science	NOUN
iogr-453	190	8	and	and	CCONJ
iogr-453	190	9	technology	technology	NOUN
iogr-453	190	10	,	,	PUNCT
iogr-453	190	11	luoyang	luoyang	PROPN
iogr-453	190	12	,	,	PUNCT
iogr-453	190	13	china	china	PROPN
iogr-453	190	14	.	.	PUNCT
iogr-453	191	1	lisa	lisa	PROPN
iogr-453	191	2	lab	lab	PROPN
iogr-453	191	3	.	.	PUNCT
iogr-453	192	1	convolutional	convolutional	ADJ
iogr-453	192	2	neural	neural	ADJ
iogr-453	192	3	networks	network	NOUN
iogr-453	192	4	.	.	PUNCT
iogr-453	193	1	http://deeplearning.net/tutorial/lenet.html	http://deeplearning.net/tutorial/lenet.html	X
iogr-453	193	2	.	.	PUNCT
iogr-453	194	1	downloaded	download	VERB
iogr-453	194	2	in	in	ADP
iogr-453	194	3	april	april	PROPN
iogr-453	194	4	2017	2017	NUM
iogr-453	194	5	.	.	PUNCT
iogr-453	195	1	matsugu	matsugu	ADV
iogr-453	195	2	,	,	PUNCT
iogr-453	195	3	m.	m.	NOUN
iogr-453	195	4	,	,	PUNCT
iogr-453	195	5	mori	mori	PROPN
iogr-453	195	6	,	,	PUNCT
iogr-453	195	7	k.	k.	PROPN
iogr-453	195	8	,	,	PUNCT
iogr-453	195	9	mitari	mitari	PROPN
iogr-453	195	10	,	,	PUNCT
iogr-453	195	11	y.	y.	PROPN
iogr-453	195	12	,	,	PUNCT
iogr-453	195	13	et	et	PROPN
iogr-453	195	14	al	al	PROPN
iogr-453	195	15	.	.	PROPN
iogr-453	195	16	2003	2003	NUM
iogr-453	195	17	.	.	PUNCT
iogr-453	196	1	subject	subject	ADJ
iogr-453	196	2	independent	independent	ADJ
iogr-453	196	3	facial	facial	ADJ
iogr-453	196	4	expression	expression	NOUN
iogr-453	196	5	recognition	recognition	NOUN
iogr-453	196	6	with	with	ADP
iogr-453	196	7	robust	robust	ADJ
iogr-453	196	8	face	face	NOUN
iogr-453	196	9	detection	detection	NOUN
iogr-453	196	10	using	use	VERB
iogr-453	196	11	a	a	DET
iogr-453	196	12	convolutional	convolutional	ADJ
iogr-453	196	13	neural	neural	ADJ
iogr-453	196	14	network	network	NOUN
iogr-453	196	15	.	.	PUNCT
iogr-453	197	1	neural	neural	ADJ
iogr-453	197	2	networks	network	NOUN
iogr-453	197	3	16(5	16(5	PRON
iogr-453	197	4	):	):	PUNCT
iogr-453	197	5	555	555	NUM
iogr-453	197	6	-	-	SYM
iogr-453	197	7	558	558	NUM
iogr-453	197	8	.	.	PUNCT
iogr-453	198	1	martinez	martinez	PROPN
iogr-453	198	2	,	,	PUNCT
iogr-453	198	3	e.r	e.r	PROPN
iogr-453	198	4	.	.	PROPN
iogr-453	198	5	,	,	PUNCT
iogr-453	198	6	moreno	moreno	PROPN
iogr-453	198	7	,	,	PUNCT
iogr-453	198	8	w.j	w.j	PROPN
iogr-453	198	9	.	.	PROPN
iogr-453	198	10	,	,	PUNCT
iogr-453	198	11	castillo	castillo	PROPN
iogr-453	198	12	,	,	PUNCT
iogr-453	198	13	v.j	v.j	PROPN
iogr-453	198	14	.	.	PROPN
iogr-453	198	15	,	,	PUNCT
iogr-453	198	16	et	et	PROPN
iogr-453	198	17	al	al	PROPN
iogr-453	198	18	.	.	PROPN
iogr-453	198	19	1993	1993	NUM
iogr-453	198	20	.	.	PUNCT
iogr-453	199	1	rod	rod	NOUN
iogr-453	199	2	pumping	pump	VERB
iogr-453	199	3	expert	expert	NOUN
iogr-453	199	4	system	system	NOUN
iogr-453	199	5	.	.	PUNCT
iogr-453	200	1	paper	paper	NOUN
iogr-453	200	2	presented	present	VERB
iogr-453	200	3	at	at	ADP
iogr-453	200	4	petroleum	petroleum	NOUN
iogr-453	200	5	computer	computer	NOUN
iogr-453	200	6	conference	conference	NOUN
iogr-453	200	7	,	,	PUNCT
iogr-453	200	8	new	new	PROPN
iogr-453	200	9	orleans	orleans	PROPN
iogr-453	200	10	,	,	PUNCT
iogr-453	200	11	united	united	PROPN
iogr-453	200	12	states	states	PROPN
iogr-453	200	13	,	,	PUNCT
iogr-453	200	14	7	7	NUM
iogr-453	200	15	-	-	SYM
iogr-453	200	16	9	9	NUM
iogr-453	200	17	january	january	NOUN
iogr-453	200	18	.	.	PUNCT
iogr-453	201	1	meng	meng	PROPN
iogr-453	201	2	,	,	PUNCT
iogr-453	201	3	q.	q.	PROPN
iogr-453	201	4	2012	2012	NUM
iogr-453	201	5	.	.	PUNCT
iogr-453	202	1	theoretical	theoretical	ADJ
iogr-453	202	2	research	research	NOUN
iogr-453	202	3	on	on	ADP
iogr-453	202	4	recognition	recognition	NOUN
iogr-453	202	5	of	of	ADP
iogr-453	202	6	rod	rod	NOUN
iogr-453	202	7	pumped	pump	VERB
iogr-453	202	8	well	well	ADV
iogr-453	202	9	working	work	VERB
iogr-453	202	10	condition	condition	NOUN
iogr-453	202	11	through	through	ADP
iogr-453	202	12	dynamometer	dynamometer	NOUN
iogr-453	202	13	card	card	NOUN
iogr-453	202	14	based	base	VERB
iogr-453	202	15	on	on	ADP
iogr-453	202	16	cellular	cellular	ADJ
iogr-453	202	17	neural	neural	ADJ
iogr-453	202	18	network	network	NOUN
iogr-453	202	19	theory	theory	NOUN
iogr-453	202	20	.	.	PUNCT
iogr-453	203	1	master	master	NOUN
iogr-453	203	2	thesis	thesis	PROPN
iogr-453	203	3	,	,	PUNCT
iogr-453	203	4	china	china	PROPN
iogr-453	203	5	university	university	PROPN
iogr-453	203	6	of	of	ADP
iogr-453	203	7	petroleum	petroleum	NOUN
iogr-453	203	8	(	(	PUNCT
iogr-453	203	9	east	east	PROPN
iogr-453	203	10	china	china	PROPN
iogr-453	203	11	)	)	PUNCT
iogr-453	203	12	,	,	PUNCT
iogr-453	203	13	qingdao	qingdao	PROPN
iogr-453	203	14	,	,	PUNCT
iogr-453	203	15	china	china	PROPN
iogr-453	203	16	.	.	PUNCT
iogr-453	204	1	nazi	nazi	PROPN
iogr-453	204	2	,	,	PUNCT
iogr-453	204	3	g.	g.	PROPN
iogr-453	204	4	m.	m.	PROPN
iogr-453	204	5	,	,	PUNCT
iogr-453	204	6	ashenayi	ashenayi	ADV
iogr-453	204	7	,	,	PUNCT
iogr-453	204	8	k.	k.	PROPN
iogr-453	204	9	,	,	PUNCT
iogr-453	204	10	lea	lea	PROPN
iogr-453	204	11	,	,	PUNCT
iogr-453	204	12	j.	j.	PROPN
iogr-453	204	13	f.	f.	PROPN
iogr-453	204	14	,	,	PUNCT
iogr-453	204	15	et	et	PROPN
iogr-453	204	16	al	al	PROPN
iogr-453	204	17	.	.	PROPN
iogr-453	204	18	2013	2013	NUM
iogr-453	204	19	.	.	PUNCT
iogr-453	205	1	application	application	NOUN
iogr-453	205	2	of	of	ADP
iogr-453	205	3	artificial	artificial	ADJ
iogr-453	205	4	neural	neural	ADJ
iogr-453	205	5	network	network	NOUN
iogr-453	205	6	to	to	PART
iogr-453	205	7	pump	pump	VERB
iogr-453	205	8	card	card	NOUN
iogr-453	205	9	diagnosis	diagnosis	NOUN
iogr-453	205	10	.	.	PUNCT
iogr-453	206	1	spe	spe	PROPN
iogr-453	206	2	computer	computer	NOUN
iogr-453	206	3	applications	application	NOUN
iogr-453	206	4	6(6	6(6	ADP
iogr-453	206	5	):	):	PUNCT
iogr-453	206	6	9	9	NUM
iogr-453	206	7	-	-	SYM
iogr-453	206	8	14	14	NUM
iogr-453	206	9	.	.	PUNCT
iogr-453	207	1	pan	pan	PROPN
iogr-453	207	2	,	,	PUNCT
iogr-453	207	3	z.	z.	PROPN
iogr-453	207	4	j.	j.	PROPN
iogr-453	207	5	,	,	PUNCT
iogr-453	207	6	and	and	CCONJ
iogr-453	207	7	ge	ge	PROPN
iogr-453	207	8	,	,	PUNCT
iogr-453	207	9	j.	j.	PROPN
iogr-453	207	10	l.	l.	PROPN
iogr-453	207	11	1996	1996	NUM
iogr-453	207	12	.	.	PUNCT
iogr-453	208	1	an	an	DET
iogr-453	208	2	adaptive	adaptive	ADJ
iogr-453	208	3	neural	neural	ADJ
iogr-453	208	4	networks	network	NOUN
iogr-453	208	5	for	for	ADP
iogr-453	208	6	identification	identification	NOUN
iogr-453	208	7	of	of	ADP
iogr-453	208	8	dynamometer	dynamometer	NOUN
iogr-453	208	9	card	card	NOUN
iogr-453	208	10	.	.	PUNCT
iogr-453	209	1	acta	acta	PROPN
iogr-453	209	2	petrolei	petrolei	PROPN
iogr-453	209	3	sinica	sinica	PROPN
iogr-453	209	4	17(3	17(3	NUM
iogr-453	209	5	):	):	PUNCT
iogr-453	209	6	104–109	104–109	NUM
iogr-453	209	7	.	.	PUNCT
iogr-453	210	1	schirmer	schirmer	PROPN
iogr-453	210	2	,	,	PUNCT
iogr-453	210	3	p.	p.	PROPN
iogr-453	210	4	,	,	PUNCT
iogr-453	210	5	gay	gay	PROPN
iogr-453	210	6	,	,	PUNCT
iogr-453	210	7	j.	j.	PROPN
iogr-453	210	8	c.	c.	PROPN
iogr-453	210	9	,	,	PUNCT
iogr-453	210	10	and	and	CCONJ
iogr-453	210	11	toutain	toutain	NOUN
iogr-453	210	12	,	,	PUNCT
iogr-453	210	13	p.	p.	NOUN
iogr-453	210	14	2013	2013	NUM
iogr-453	210	15	.	.	PUNCT
iogr-453	211	1	use	use	NOUN
iogr-453	211	2	of	of	ADP
iogr-453	211	3	advanced	advanced	ADJ
iogr-453	211	4	pattern	pattern	NOUN
iogr-453	211	5	-	-	PUNCT
iogr-453	211	6	recognition	recognition	NOUN
iogr-453	211	7	and	and	CCONJ
iogr-453	211	8	knowledge	knowledge	NOUN
iogr-453	211	9	-	-	PUNCT
iogr-453	211	10	based	base	VERB
iogr-453	211	11	system	system	NOUN
iogr-453	211	12	in	in	ADP
iogr-453	211	13	analyzing	analyze	VERB
iogr-453	211	14	dynamometer	dynamometer	NOUN
iogr-453	211	15	cards	card	NOUN
iogr-453	211	16	.	.	PUNCT
iogr-453	212	1	spe	spe	PROPN
iogr-453	212	2	computer	computer	NOUN
iogr-453	212	3	applications	application	NOUN
iogr-453	212	4	3(6	3(6	NUM
iogr-453	212	5	):	):	PUNCT
iogr-453	212	6	21	21	NUM
iogr-453	212	7	-	-	SYM
iogr-453	212	8	24	24	NUM
iogr-453	212	9	.	.	PUNCT
iogr-453	213	1	simard	simard	PROPN
iogr-453	213	2	,	,	PUNCT
iogr-453	213	3	p.	p.	PROPN
iogr-453	213	4	y.	y.	PROPN
iogr-453	213	5	,	,	PUNCT
iogr-453	213	6	steinkraus	steinkraus	PROPN
iogr-453	213	7	,	,	PUNCT
iogr-453	213	8	d.	d.	PROPN
iogr-453	213	9	,	,	PUNCT
iogr-453	213	10	and	and	CCONJ
iogr-453	213	11	platt	platt	PROPN
iogr-453	213	12	,	,	PUNCT
iogr-453	213	13	j.	j.	PROPN
iogr-453	213	14	c.	c.	PROPN
iogr-453	213	15	2003	2003	NUM
iogr-453	213	16	.	.	PUNCT
iogr-453	214	1	best	good	ADJ
iogr-453	214	2	practices	practice	NOUN
iogr-453	214	3	for	for	ADP
iogr-453	214	4	convolutional	convolutional	ADJ
iogr-453	214	5	neural	neural	ADJ
iogr-453	214	6	networks	network	NOUN
iogr-453	214	7	applied	apply	VERB
iogr-453	214	8	to	to	ADP
iogr-453	214	9	visual	visual	ADJ
iogr-453	214	10	document	document	NOUN
iogr-453	214	11	analysis	analysis	NOUN
iogr-453	214	12	.	.	PUNCT
iogr-453	215	1	paper	paper	NOUN
iogr-453	215	2	presented	present	VERB
iogr-453	215	3	at	at	ADP
iogr-453	215	4	international	international	ADJ
iogr-453	215	5	conference	conference	NOUN
iogr-453	215	6	on	on	ADP
iogr-453	215	7	document	document	NOUN
iogr-453	215	8	analysis	analysis	NOUN
iogr-453	215	9	and	and	CCONJ
iogr-453	215	10	recognition	recognition	NOUN
iogr-453	215	11	,	,	PUNCT
iogr-453	215	12	edinburgh	edinburgh	PROPN
iogr-453	215	13	,	,	PUNCT
iogr-453	215	14	uk	uk	PROPN
iogr-453	215	15	,	,	PUNCT
iogr-453	215	16	2	2	NUM
iogr-453	215	17	-	-	SYM
iogr-453	215	18	5	5	NUM
iogr-453	215	19	august	august	NOUN
iogr-453	215	20	.	.	PUNCT
iogr-453	216	1	http://deeplearning.net/tutorial/lenet.html	http://deeplearning.net/tutorial/lenet.html	PROPN
iogr-453	216	2	9	9	NUM
iogr-453	216	3	wang	wang	PROPN
iogr-453	216	4	,	,	PUNCT
iogr-453	216	5	z.	z.	PROPN
iogr-453	216	6	,	,	PUNCT
iogr-453	216	7	xue	xue	PROPN
iogr-453	216	8	,	,	PUNCT
iogr-453	216	9	g.	g.	PROPN
iogr-453	216	10	,	,	PUNCT
iogr-453	216	11	jin	jin	PROPN
iogr-453	216	12	,	,	PUNCT
iogr-453	216	13	z.	z.	PROPN
iogr-453	216	14	,	,	PUNCT
iogr-453	216	15	et	et	PROPN
iogr-453	216	16	al	al	PROPN
iogr-453	216	17	.	.	PROPN
iogr-453	216	18	2001	2001	NUM
iogr-453	216	19	.	.	PUNCT
iogr-453	217	1	using	use	VERB
iogr-453	217	2	human	human	ADJ
iogr-453	217	3	nerve	nerve	NOUN
iogr-453	217	4	network	network	NOUN
iogr-453	217	5	for	for	ADP
iogr-453	217	6	indicator	indicator	NOUN
iogr-453	217	7	diagram	diagram	NOUN
iogr-453	217	8	identification	identification	NOUN
iogr-453	217	9	.	.	PUNCT
iogr-453	218	1	petroleum	petroleum	NOUN
iogr-453	218	2	drilling	drilling	NOUN
iogr-453	218	3	techniques	technique	NOUN
iogr-453	218	4	29(2	29(2	NOUN
iogr-453	218	5	):	):	PUNCT
iogr-453	218	6	56–57	56–57	PROPN
iogr-453	218	7	.	.	PUNCT
iogr-453	219	1	wang	wang	PROPN
iogr-453	219	2	,	,	PUNCT
iogr-453	219	3	y.	y.	PROPN
iogr-453	219	4	2006	2006	NUM
iogr-453	219	5	.	.	PUNCT
iogr-453	220	1	remote	remote	ADJ
iogr-453	220	2	monitoring	monitoring	NOUN
iogr-453	220	3	and	and	CCONJ
iogr-453	220	4	fault	fault	VERB
iogr-453	220	5	diagnosis	diagnosis	NOUN
iogr-453	220	6	system	system	NOUN
iogr-453	220	7	of	of	ADP
iogr-453	220	8	sucker	sucker	NOUN
iogr-453	220	9	road	road	NOUN
iogr-453	220	10	oil	oil	NOUN
iogr-453	220	11	well	well	ADV
iogr-453	220	12	.	.	PUNCT
iogr-453	221	1	master	master	NOUN
iogr-453	221	2	thesis	thesis	PROPN
iogr-453	221	3	,	,	PUNCT
iogr-453	221	4	wuhan	wuhan	PROPN
iogr-453	221	5	university	university	PROPN
iogr-453	221	6	of	of	ADP
iogr-453	221	7	technology	technology	PROPN
iogr-453	221	8	,	,	PUNCT
iogr-453	221	9	wuhan	wuhan	PROPN
iogr-453	221	10	,	,	PUNCT
iogr-453	221	11	china	china	PROPN
iogr-453	221	12	.	.	PUNCT
iogr-453	222	1	xu	xu	PROPN
iogr-453	222	2	,	,	PUNCT
iogr-453	222	3	g.	g.	PROPN
iogr-453	222	4	and	and	CCONJ
iogr-453	222	5	yang	yang	PROPN
iogr-453	222	6	,	,	PUNCT
iogr-453	222	7	s.	s.	PROPN
iogr-453	222	8	2013	2013	NUM
iogr-453	222	9	.	.	PUNCT
iogr-453	223	1	application	application	NOUN
iogr-453	223	2	of	of	ADP
iogr-453	223	3	grey	grey	PROPN
iogr-453	223	4	theory	theory	NOUN
iogr-453	223	5	in	in	ADP
iogr-453	223	6	fault	fault	NOUN
iogr-453	223	7	diagnosis	diagnosis	NOUN
iogr-453	223	8	of	of	ADP
iogr-453	223	9	rod	rod	NOUN
iogr-453	223	10	-	-	PUNCT
iogr-453	223	11	pumped	pump	VERB
iogr-453	223	12	well	well	ADV
iogr-453	223	13	.	.	PUNCT
iogr-453	224	1	journal	journal	PROPN
iogr-453	224	2	of	of	ADP
iogr-453	224	3	hefei	hefei	PROPN
iogr-453	224	4	university	university	PROPN
iogr-453	224	5	of	of	ADP
iogr-453	224	6	technology	technology	NOUN
iogr-453	224	7	(	(	PUNCT
iogr-453	224	8	natural	natural	ADJ
iogr-453	224	9	science	science	NOUN
iogr-453	224	10	)	)	PUNCT
iogr-453	225	1	36(10	36(10	NUM
iogr-453	225	2	):	):	PUNCT
iogr-453	225	3	1265–1268	1265–1268	NUM
iogr-453	225	4	.	.	PUNCT
iogr-453	226	1	yue	yue	PROPN
iogr-453	226	2	,	,	PUNCT
iogr-453	226	3	j.	j.	PROPN
iogr-453	226	4	,	,	PUNCT
iogr-453	226	5	zuo	zuo	PROPN
iogr-453	226	6	,	,	PUNCT
iogr-453	226	7	j.	j.	PROPN
iogr-453	226	8	,	,	PUNCT
iogr-453	226	9	and	and	CCONJ
iogr-453	226	10	li	li	PROPN
iogr-453	226	11	,	,	PUNCT
iogr-453	226	12	h.	h.	PROPN
iogr-453	226	13	1999	1999	NUM
iogr-453	226	14	.	.	PUNCT
iogr-453	227	1	distinguishing	distinguish	VERB
iogr-453	227	2	method	method	NOUN
iogr-453	227	3	to	to	ADP
iogr-453	227	4	characteristics	characteristic	NOUN
iogr-453	227	5	of	of	ADP
iogr-453	227	6	dynamometer	dynamometer	NOUN
iogr-453	227	7	diagram	diagram	NOUN
iogr-453	227	8	moment	moment	NOUN
iogr-453	227	9	of	of	ADP
iogr-453	227	10	pumping	pump	VERB
iogr-453	227	11	wells	well	NOUN
iogr-453	227	12	.	.	PUNCT
iogr-453	228	1	oil	oil	NOUN
iogr-453	228	2	-	-	PUNCT
iogr-453	228	3	gas	gas	NOUN
iogr-453	228	4	field	field	NOUN
iogr-453	228	5	surface	surface	NOUN
iogr-453	228	6	engineering	engineering	NOUN
iogr-453	228	7	18(3	18(3	NUM
iogr-453	228	8	):	):	PUNCT
iogr-453	228	9	15–16	15–16	PROPN
iogr-453	228	10	.	.	PUNCT
iogr-453	229	1	zhen	zhen	PROPN
iogr-453	229	2	wang	wang	PROPN
iogr-453	229	3	is	be	AUX
iogr-453	229	4	an	an	DET
iogr-453	229	5	engineer	engineer	NOUN
iogr-453	229	6	at	at	ADP
iogr-453	229	7	luming	lume	VERB
iogr-453	229	8	oil	oil	NOUN
iogr-453	229	9	and	and	CCONJ
iogr-453	229	10	gas	gas	NOUN
iogr-453	229	11	exploration	exploration	NOUN
iogr-453	229	12	and	and	CCONJ
iogr-453	229	13	development	development	PROPN
iogr-453	229	14	co.	co.	PROPN
iogr-453	229	15	,	,	PUNCT
iogr-453	229	16	ltd	ltd	PROPN
iogr-453	229	17	,	,	PUNCT
iogr-453	229	18	shengli	shengli	PROPN
iogr-453	229	19	oilfield	oilfield	PROPN
iogr-453	229	20	.	.	PUNCT
iogr-453	230	1	he	he	PRON
iogr-453	230	2	holds	hold	VERB
iogr-453	230	3	a	a	DET
iogr-453	230	4	master	master	NOUN
iogr-453	230	5	’s	’s	PART
iogr-453	230	6	degree	degree	NOUN
iogr-453	230	7	in	in	ADP
iogr-453	230	8	oil	oil	NOUN
iogr-453	230	9	and	and	CCONJ
iogr-453	230	10	gas	gas	NOUN
iogr-453	230	11	field	field	NOUN
iogr-453	230	12	development	development	NOUN
iogr-453	230	13	engineering	engineering	NOUN
iogr-453	230	14	from	from	ADP
iogr-453	230	15	china	china	PROPN
iogr-453	230	16	university	university	PROPN
iogr-453	230	17	of	of	ADP
iogr-453	230	18	petroleum	petroleum	NOUN
iogr-453	230	19	(	(	PUNCT
iogr-453	230	20	east	east	PROPN
iogr-453	230	21	china	china	PROPN
iogr-453	230	22	)	)	PUNCT
iogr-453	230	23	.	.	PUNCT
iogr-453	231	1	his	his	PRON
iogr-453	231	2	expertise	expertise	NOUN
iogr-453	231	3	is	be	AUX
iogr-453	231	4	oil	oil	NOUN
iogr-453	231	5	well	well	NOUN
iogr-453	231	6	production	production	NOUN
iogr-453	231	7	management	management	NOUN
iogr-453	231	8	and	and	CCONJ
iogr-453	231	9	smart	smart	ADJ
iogr-453	231	10	oilfield	oilfield	NOUN
iogr-453	231	11	.	.	PUNCT
iogr-453	232	1	xiang	xiang	PROPN
iogr-453	232	2	wang	wang	PROPN
iogr-453	232	3	is	be	AUX
iogr-453	232	4	an	an	DET
iogr-453	232	5	assistant	assistant	ADJ
iogr-453	232	6	professor	professor	NOUN
iogr-453	232	7	at	at	ADP
iogr-453	232	8	school	school	NOUN
iogr-453	232	9	of	of	ADP
iogr-453	232	10	petroleum	petroleum	NOUN
iogr-453	232	11	engineering	engineering	NOUN
iogr-453	232	12	,	,	PUNCT
iogr-453	232	13	changzhou	changzhou	PROPN
iogr-453	232	14	university	university	PROPN
iogr-453	232	15	.	.	PUNCT
iogr-453	233	1	he	he	PRON
iogr-453	233	2	got	get	VERB
iogr-453	233	3	his	his	PRON
iogr-453	233	4	phd	phd	NOUN
iogr-453	233	5	degree	degree	NOUN
iogr-453	233	6	from	from	ADP
iogr-453	233	7	china	china	PROPN
iogr-453	233	8	university	university	PROPN
iogr-453	233	9	of	of	ADP
iogr-453	233	10	petroleum	petroleum	NOUN
iogr-453	233	11	(	(	PUNCT
iogr-453	233	12	east	east	PROPN
iogr-453	233	13	china	china	PROPN
iogr-453	233	14	)	)	PUNCT
iogr-453	233	15	.	.	PUNCT
iogr-453	234	1	his	his	PRON
iogr-453	234	2	research	research	NOUN
iogr-453	234	3	interests	interest	NOUN
iogr-453	234	4	are	be	AUX
iogr-453	234	5	the	the	DET
iogr-453	234	6	interface	interface	NOUN
iogr-453	234	7	of	of	ADP
iogr-453	234	8	mathematics	mathematic	NOUN
iogr-453	234	9	,	,	PUNCT
iogr-453	234	10	computer	computer	NOUN
iogr-453	234	11	science	science	NOUN
iogr-453	234	12	,	,	PUNCT
iogr-453	234	13	and	and	CCONJ
iogr-453	234	14	engineering	engineering	NOUN
iogr-453	234	15	to	to	PART
iogr-453	234	16	better	well	ADV
iogr-453	234	17	understand	understand	VERB
iogr-453	234	18	and	and	CCONJ
iogr-453	234	19	optimize	optimize	VERB
iogr-453	234	20	the	the	DET
iogr-453	234	21	development	development	NOUN
iogr-453	234	22	of	of	ADP
iogr-453	234	23	oil	oil	NOUN
iogr-453	234	24	and	and	CCONJ
iogr-453	234	25	gas	gas	NOUN
iogr-453	234	26	reservoirs	reservoir	NOUN
iogr-453	234	27	.	.	PUNCT
iogr-453	235	1	weigang	weigang	PROPN
iogr-453	235	2	duan	duan	PROPN
iogr-453	235	3	is	be	AUX
iogr-453	235	4	a	a	DET
iogr-453	235	5	senior	senior	ADJ
iogr-453	235	6	engineer	engineer	NOUN
iogr-453	235	7	at	at	ADP
iogr-453	235	8	luming	lume	VERB
iogr-453	235	9	oil	oil	NOUN
iogr-453	235	10	and	and	CCONJ
iogr-453	235	11	gas	gas	NOUN
iogr-453	235	12	exploration	exploration	NOUN
iogr-453	235	13	and	and	CCONJ
iogr-453	235	14	development	development	PROPN
iogr-453	235	15	co.	co.	PROPN
iogr-453	235	16	,	,	PUNCT
iogr-453	235	17	ltd	ltd	PROPN
iogr-453	235	18	,	,	PUNCT
iogr-453	235	19	shengli	shengli	PROPN
iogr-453	235	20	oilfield	oilfield	PROPN
iogr-453	235	21	.	.	PUNCT
iogr-453	236	1	he	he	PRON
iogr-453	236	2	has	have	VERB
iogr-453	236	3	over	over	ADP
iogr-453	236	4	20	20	NUM
iogr-453	236	5	years	year	NOUN
iogr-453	236	6	of	of	ADP
iogr-453	236	7	experience	experience	NOUN
iogr-453	236	8	in	in	ADP
iogr-453	236	9	oil	oil	NOUN
iogr-453	236	10	and	and	CCONJ
iogr-453	236	11	gas	gas	NOUN
iogr-453	236	12	production	production	NOUN
iogr-453	236	13	and	and	CCONJ
iogr-453	236	14	management	management	NOUN
iogr-453	236	15	.	.	PUNCT
iogr-453	237	1	fajun	fajun	PROPN
iogr-453	237	2	li	li	PROPN
iogr-453	237	3	is	be	AUX
iogr-453	237	4	a	a	DET
iogr-453	237	5	senior	senior	ADJ
iogr-453	237	6	engineer	engineer	NOUN
iogr-453	237	7	at	at	ADP
iogr-453	237	8	luming	lume	VERB
iogr-453	237	9	oil	oil	NOUN
iogr-453	237	10	and	and	CCONJ
iogr-453	237	11	gas	gas	NOUN
iogr-453	237	12	exploration	exploration	NOUN
iogr-453	237	13	and	and	CCONJ
iogr-453	237	14	development	development	PROPN
iogr-453	237	15	co.	co.	PROPN
iogr-453	237	16	,	,	PUNCT
iogr-453	237	17	ltd	ltd	PROPN
iogr-453	237	18	,	,	PUNCT
iogr-453	237	19	shengli	shengli	PROPN
iogr-453	237	20	oilfield	oilfield	PROPN
iogr-453	237	21	.	.	PUNCT
iogr-453	238	1	he	he	PRON
iogr-453	238	2	has	have	AUX
iogr-453	238	3	long	long	ADV
iogr-453	238	4	been	be	AUX
iogr-453	238	5	engaged	engage	VERB
iogr-453	238	6	in	in	ADP
iogr-453	238	7	research	research	NOUN
iogr-453	238	8	and	and	CCONJ
iogr-453	238	9	management	management	NOUN
iogr-453	238	10	of	of	ADP
iogr-453	238	11	oil	oil	NOUN
iogr-453	238	12	well	well	NOUN
iogr-453	238	13	production	production	NOUN
iogr-453	238	14	technology	technology	NOUN
iogr-453	238	15	and	and	CCONJ
iogr-453	238	16	has	have	VERB
iogr-453	238	17	rich	rich	ADJ
iogr-453	238	18	experience	experience	NOUN
iogr-453	238	19	.	.	PUNCT
iogr-453	239	1	fei	fei	PROPN
iogr-453	239	2	chen	chen	PROPN
iogr-453	239	3	is	be	AUX
iogr-453	239	4	an	an	DET
iogr-453	239	5	engineer	engineer	NOUN
iogr-453	239	6	at	at	ADP
iogr-453	239	7	luming	lume	VERB
iogr-453	239	8	oil	oil	NOUN
iogr-453	239	9	and	and	CCONJ
iogr-453	239	10	gas	gas	NOUN
iogr-453	239	11	exploration	exploration	NOUN
iogr-453	239	12	and	and	CCONJ
iogr-453	239	13	development	development	PROPN
iogr-453	239	14	co.	co.	PROPN
iogr-453	239	15	,	,	PUNCT
iogr-453	239	16	ltd	ltd	PROPN
iogr-453	239	17	,	,	PUNCT
iogr-453	239	18	shengli	shengli	PROPN
iogr-453	239	19	oilfield	oilfield	PROPN
iogr-453	239	20	.	.	PUNCT
iogr-453	240	1	he	he	PRON
iogr-453	240	2	is	be	AUX
iogr-453	240	3	currently	currently	ADV
iogr-453	240	4	engaged	engage	VERB
iogr-453	240	5	in	in	ADP
iogr-453	240	6	research	research	NOUN
iogr-453	240	7	and	and	CCONJ
iogr-453	240	8	management	management	NOUN
iogr-453	240	9	of	of	ADP
iogr-453	240	10	oilfield	oilfield	NOUN
iogr-453	240	11	information	information	NOUN
iogr-453	240	12	construction	construction	NOUN
iogr-453	240	13	.	.	PUNCT