id	sid	tid	token	lemma	pos
ajst-22376	1	1	academic	academic	ADJ
ajst-22376	1	2	journal	journal	NOUN
ajst-22376	1	3	of	of	ADP
ajst-22376	1	4	science	science	NOUN
ajst-22376	1	5	and	and	CCONJ
ajst-22376	1	6	technology	technology	NOUN
ajst-22376	1	7	issn	issn	NOUN
ajst-22376	1	8	:	:	PUNCT
ajst-22376	1	9	2771	2771	NUM
ajst-22376	1	10	-	-	SYM
ajst-22376	1	11	3032	3032	NUM
ajst-22376	1	12	|	|	NOUN
ajst-22376	1	13	vol	vol	NOUN
ajst-22376	1	14	.	.	PROPN
ajst-22376	2	1	11	11	NUM
ajst-22376	2	2	,	,	PUNCT
ajst-22376	2	3	no	no	INTJ
ajst-22376	2	4	.	.	NOUN
ajst-22376	2	5	2	2	NUM
ajst-22376	2	6	,	,	PUNCT
ajst-22376	2	7	2024	2024	NUM
ajst-22376	2	8	223	223	NUM
ajst-22376	2	9	a	a	DET
ajst-22376	2	10	complex	complex	ADJ
ajst-22376	2	11	analog	analog	NOUN
ajst-22376	2	12	circuit	circuit	NOUN
ajst-22376	2	13	fault	fault	NOUN
ajst-22376	2	14	diagnosis	diagnosis	NOUN
ajst-22376	2	15	method	method	NOUN
ajst-22376	2	16	based	base	VERB
ajst-22376	2	17	on	on	ADP
ajst-22376	2	18	imoda	imoda	NOUN
ajst-22376	2	19	improved	improve	VERB
ajst-22376	2	20	deep	deep	ADJ
ajst-22376	2	21	belief	belief	NOUN
ajst-22376	2	22	network	network	NOUN
ajst-22376	2	23	bin	bin	PROPN
ajst-22376	2	24	gong	gong	PROPN
ajst-22376	3	1	*	*	PUNCT
ajst-22376	3	2	,	,	PUNCT
ajst-22376	3	3	aimin	aimin	NOUN
ajst-22376	3	4	an	an	DET
ajst-22376	3	5	college	college	NOUN
ajst-22376	3	6	of	of	ADP
ajst-22376	3	7	electrical	electrical	ADJ
ajst-22376	3	8	and	and	CCONJ
ajst-22376	3	9	information	information	NOUN
ajst-22376	3	10	engineering	engineering	NOUN
ajst-22376	3	11	,	,	PUNCT
ajst-22376	3	12	lanzhou	lanzhou	PROPN
ajst-22376	3	13	university	university	PROPN
ajst-22376	3	14	of	of	ADP
ajst-22376	3	15	technology	technology	NOUN
ajst-22376	3	16	,	,	PUNCT
ajst-22376	3	17	lanzhou	lanzhou	PROPN
ajst-22376	3	18	730050	730050	NUM
ajst-22376	3	19	,	,	PUNCT
ajst-22376	3	20	china	china	PROPN
ajst-22376	3	21	*	*	PUNCT
ajst-22376	3	22	corresponding	correspond	VERB
ajst-22376	3	23	author	author	NOUN
ajst-22376	3	24	:	:	PUNCT
ajst-22376	3	25	bin	bin	NOUN
ajst-22376	3	26	gong	gong	PROPN
ajst-22376	3	27	(	(	PUNCT
ajst-22376	3	28	email	email	NOUN
ajst-22376	3	29	:	:	PUNCT
ajst-22376	3	30	gong_bin01@163.com	gong_bin01@163.com	ADJ
ajst-22376	3	31	)	)	PUNCT
ajst-22376	3	32	abstract	abstract	NOUN
ajst-22376	3	33	:	:	PUNCT
ajst-22376	3	34	aiming	aim	VERB
ajst-22376	3	35	at	at	ADP
ajst-22376	3	36	the	the	DET
ajst-22376	3	37	problems	problem	NOUN
ajst-22376	3	38	of	of	ADP
ajst-22376	3	39	time	time	NOUN
ajst-22376	3	40	-	-	PUNCT
ajst-22376	3	41	consuming	consume	VERB
ajst-22376	3	42	and	and	CCONJ
ajst-22376	3	43	low	low	ADJ
ajst-22376	3	44	diagnosis	diagnosis	NOUN
ajst-22376	3	45	accuracy	accuracy	NOUN
ajst-22376	3	46	during	during	ADP
ajst-22376	3	47	the	the	DET
ajst-22376	3	48	unsupervised	unsupervised	ADJ
ajst-22376	3	49	training	training	NOUN
ajst-22376	3	50	process	process	NOUN
ajst-22376	3	51	of	of	ADP
ajst-22376	3	52	traditional	traditional	ADJ
ajst-22376	3	53	dbn	dbn	NOUN
ajst-22376	3	54	,	,	PUNCT
ajst-22376	3	55	an	an	DET
ajst-22376	3	56	analog	analog	NOUN
ajst-22376	3	57	circuit	circuit	NOUN
ajst-22376	3	58	fault	fault	NOUN
ajst-22376	3	59	diagnosis	diagnosis	NOUN
ajst-22376	3	60	method	method	NOUN
ajst-22376	3	61	based	base	VERB
ajst-22376	3	62	on	on	ADP
ajst-22376	3	63	improved	improved	ADJ
ajst-22376	3	64	multi	multi	ADJ
ajst-22376	3	65	-	-	ADJ
ajst-22376	3	66	objective	objective	ADJ
ajst-22376	3	67	dragonfly	dragonfly	NOUN
ajst-22376	3	68	optimized	optimize	VERB
ajst-22376	3	69	deep	deep	ADJ
ajst-22376	3	70	belief	belief	NOUN
ajst-22376	3	71	network	network	NOUN
ajst-22376	3	72	(	(	PUNCT
ajst-22376	3	73	imoda	imoda	NOUN
ajst-22376	3	74	-	-	PUNCT
ajst-22376	3	75	adbn	adbn	NOUN
ajst-22376	3	76	)	)	PUNCT
ajst-22376	3	77	is	be	AUX
ajst-22376	3	78	proposed	propose	VERB
ajst-22376	3	79	.	.	PUNCT
ajst-22376	4	1	the	the	DET
ajst-22376	4	2	method	method	NOUN
ajst-22376	4	3	employs	employ	VERB
ajst-22376	4	4	an	an	DET
ajst-22376	4	5	improved	improved	ADJ
ajst-22376	4	6	moda	moda	NOUN
ajst-22376	4	7	algorithm	algorithm	NOUN
ajst-22376	4	8	instead	instead	ADV
ajst-22376	4	9	of	of	ADP
ajst-22376	4	10	the	the	DET
ajst-22376	4	11	bp	bp	PROPN
ajst-22376	4	12	algorithm	algorithm	PROPN
ajst-22376	4	13	,	,	PUNCT
ajst-22376	4	14	which	which	PRON
ajst-22376	4	15	improves	improve	VERB
ajst-22376	4	16	the	the	DET
ajst-22376	4	17	classification	classification	NOUN
ajst-22376	4	18	accuracy	accuracy	NOUN
ajst-22376	4	19	of	of	ADP
ajst-22376	4	20	the	the	DET
ajst-22376	4	21	network	network	NOUN
ajst-22376	4	22	and	and	CCONJ
ajst-22376	4	23	ameliorates	ameliorate	VERB
ajst-22376	4	24	the	the	DET
ajst-22376	4	25	problem	problem	NOUN
ajst-22376	4	26	of	of	ADP
ajst-22376	4	27	being	be	AUX
ajst-22376	4	28	prone	prone	ADJ
ajst-22376	4	29	to	to	ADP
ajst-22376	4	30	falling	fall	VERB
ajst-22376	4	31	into	into	ADP
ajst-22376	4	32	local	local	ADJ
ajst-22376	4	33	optima	optima	NOUN
ajst-22376	4	34	.	.	PUNCT
ajst-22376	5	1	the	the	DET
ajst-22376	5	2	algorithm	algorithm	NOUN
ajst-22376	5	3	is	be	AUX
ajst-22376	5	4	tested	test	VERB
ajst-22376	5	5	on	on	ADP
ajst-22376	5	6	three	three	NUM
ajst-22376	5	7	multi	multi	ADJ
ajst-22376	5	8	-	-	ADJ
ajst-22376	5	9	objective	objective	ADJ
ajst-22376	5	10	mathematical	mathematical	ADJ
ajst-22376	5	11	benchmark	benchmark	NOUN
ajst-22376	5	12	problems	problem	NOUN
ajst-22376	5	13	and	and	CCONJ
ajst-22376	5	14	compared	compare	VERB
ajst-22376	5	15	with	with	ADP
ajst-22376	5	16	three	three	NUM
ajst-22376	5	17	well	well	ADV
ajst-22376	5	18	-	-	PUNCT
ajst-22376	5	19	known	know	VERB
ajst-22376	5	20	metaheuristic	metaheuristic	ADJ
ajst-22376	5	21	optimization	optimization	NOUN
ajst-22376	5	22	algorithms	algorithm	NOUN
ajst-22376	5	23	such	such	ADJ
ajst-22376	5	24	as	as	ADP
ajst-22376	5	25	moda	moda	PROPN
ajst-22376	5	26	,	,	PUNCT
ajst-22376	5	27	mopso	mopso	NOUN
ajst-22376	5	28	and	and	CCONJ
ajst-22376	5	29	nsga	nsga	PROPN
ajst-22376	5	30	-	-	PUNCT
ajst-22376	5	31	ii	ii	NOUN
ajst-22376	5	32	,	,	PUNCT
ajst-22376	5	33	and	and	CCONJ
ajst-22376	5	34	the	the	DET
ajst-22376	5	35	results	result	NOUN
ajst-22376	5	36	demonstrate	demonstrate	VERB
ajst-22376	5	37	the	the	DET
ajst-22376	5	38	stability	stability	NOUN
ajst-22376	5	39	of	of	ADP
ajst-22376	5	40	the	the	DET
ajst-22376	5	41	imoda	imoda	NOUN
ajst-22376	5	42	-	-	PUNCT
ajst-22376	5	43	adbn	adbn	NOUN
ajst-22376	5	44	network	network	NOUN
ajst-22376	5	45	model	model	NOUN
ajst-22376	5	46	.	.	PUNCT
ajst-22376	6	1	finally	finally	ADV
ajst-22376	6	2	,	,	PUNCT
ajst-22376	6	3	imoda	imoda	NOUN
ajst-22376	6	4	-	-	PUNCT
ajst-22376	6	5	adbn	adbn	NOUN
ajst-22376	6	6	is	be	AUX
ajst-22376	6	7	applied	apply	VERB
ajst-22376	6	8	to	to	ADP
ajst-22376	6	9	the	the	DET
ajst-22376	6	10	diagnostic	diagnostic	ADJ
ajst-22376	6	11	experiments	experiment	NOUN
ajst-22376	6	12	of	of	ADP
ajst-22376	6	13	a	a	DET
ajst-22376	6	14	two	two	NUM
ajst-22376	6	15	-	-	PUNCT
ajst-22376	6	16	stage	stage	NOUN
ajst-22376	6	17	quad	quad	ADJ
ajst-22376	6	18	op	op	NOUN
ajst-22376	6	19	-	-	PUNCT
ajst-22376	6	20	amp	amp	NOUN
ajst-22376	6	21	dual	dual	ADJ
ajst-22376	6	22	second	second	ADJ
ajst-22376	6	23	-	-	PUNCT
ajst-22376	6	24	order	order	NOUN
ajst-22376	6	25	low	low	ADJ
ajst-22376	6	26	-	-	PUNCT
ajst-22376	6	27	pass	pass	NOUN
ajst-22376	6	28	filter	filter	NOUN
ajst-22376	6	29	,	,	PUNCT
ajst-22376	6	30	and	and	CCONJ
ajst-22376	6	31	the	the	DET
ajst-22376	6	32	results	result	NOUN
ajst-22376	6	33	show	show	VERB
ajst-22376	6	34	that	that	SCONJ
ajst-22376	6	35	the	the	DET
ajst-22376	6	36	method	method	NOUN
ajst-22376	6	37	improves	improve	VERB
ajst-22376	6	38	the	the	DET
ajst-22376	6	39	classification	classification	NOUN
ajst-22376	6	40	accuracy	accuracy	NOUN
ajst-22376	6	41	and	and	CCONJ
ajst-22376	6	42	diagnostic	diagnostic	ADJ
ajst-22376	6	43	rate	rate	NOUN
ajst-22376	6	44	while	while	SCONJ
ajst-22376	6	45	guaranteeing	guarantee	VERB
ajst-22376	6	46	the	the	DET
ajst-22376	6	47	convergence	convergence	NOUN
ajst-22376	6	48	speed	speed	NOUN
ajst-22376	6	49	,	,	PUNCT
ajst-22376	6	50	and	and	CCONJ
ajst-22376	6	51	is	be	AUX
ajst-22376	6	52	able	able	ADJ
ajst-22376	6	53	to	to	PART
ajst-22376	6	54	effectively	effectively	ADV
ajst-22376	6	55	realize	realize	VERB
ajst-22376	6	56	the	the	DET
ajst-22376	6	57	classification	classification	NOUN
ajst-22376	6	58	and	and	CCONJ
ajst-22376	6	59	localization	localization	NOUN
ajst-22376	6	60	of	of	ADP
ajst-22376	6	61	difficult	difficult	ADJ
ajst-22376	6	62	faults	fault	NOUN
ajst-22376	6	63	.	.	PUNCT
ajst-22376	7	1	keywords	keyword	NOUN
ajst-22376	7	2	:	:	PUNCT
ajst-22376	7	3	analog	analog	NOUN
ajst-22376	7	4	circuit	circuit	NOUN
ajst-22376	7	5	;	;	PUNCT
ajst-22376	7	6	moda	moda	PROPN
ajst-22376	7	7	;	;	PUNCT
ajst-22376	7	8	deep	deep	ADJ
ajst-22376	7	9	belief	belief	NOUN
ajst-22376	7	10	network	network	NOUN
ajst-22376	7	11	;	;	PUNCT
ajst-22376	7	12	fault	fault	VERB
ajst-22376	7	13	diagnosis	diagnosis	NOUN
ajst-22376	7	14	.	.	PUNCT
ajst-22376	8	1	1	1	X
ajst-22376	8	2	.	.	X
ajst-22376	8	3	introduction	introduction	NOUN
ajst-22376	8	4	analog	analog	NOUN
ajst-22376	8	5	circuits	circuit	NOUN
ajst-22376	8	6	,	,	PUNCT
ajst-22376	8	7	as	as	ADP
ajst-22376	8	8	an	an	DET
ajst-22376	8	9	important	important	ADJ
ajst-22376	8	10	pillar	pillar	NOUN
ajst-22376	8	11	in	in	ADP
ajst-22376	8	12	military	military	NOUN
ajst-22376	8	13	,	,	PUNCT
ajst-22376	8	14	defense	defense	NOUN
ajst-22376	8	15	,	,	PUNCT
ajst-22376	8	16	and	and	CCONJ
ajst-22376	8	17	aerospace	aerospace	NOUN
ajst-22376	8	18	fields	field	NOUN
ajst-22376	8	19	[	[	X
ajst-22376	8	20	1	1	NUM
ajst-22376	8	21	]	]	PUNCT
ajst-22376	8	22	,	,	PUNCT
ajst-22376	8	23	have	have	AUX
ajst-22376	8	24	become	become	VERB
ajst-22376	8	25	a	a	DET
ajst-22376	8	26	research	research	NOUN
ajst-22376	8	27	hotspot	hotspot	NOUN
ajst-22376	8	28	in	in	ADP
ajst-22376	8	29	the	the	DET
ajst-22376	8	30	field	field	NOUN
ajst-22376	8	31	of	of	ADP
ajst-22376	8	32	circuit	circuit	NOUN
ajst-22376	8	33	testing	testing	NOUN
ajst-22376	8	34	[	[	X
ajst-22376	8	35	2	2	NUM
ajst-22376	8	36	]	]	PUNCT
ajst-22376	8	37	,	,	PUNCT
ajst-22376	8	38	and	and	CCONJ
ajst-22376	8	39	the	the	DET
ajst-22376	8	40	development	development	NOUN
ajst-22376	8	41	of	of	ADP
ajst-22376	8	42	efficient	efficient	ADJ
ajst-22376	8	43	and	and	CCONJ
ajst-22376	8	44	accurate	accurate	ADJ
ajst-22376	8	45	diagnostic	diagnostic	ADJ
ajst-22376	8	46	strategies	strategy	NOUN
ajst-22376	8	47	has	have	AUX
ajst-22376	8	48	become	become	VERB
ajst-22376	8	49	an	an	DET
ajst-22376	8	50	urgent	urgent	ADJ
ajst-22376	8	51	need	need	NOUN
ajst-22376	8	52	in	in	ADP
ajst-22376	8	53	the	the	DET
ajst-22376	8	54	field	field	NOUN
ajst-22376	8	55	of	of	ADP
ajst-22376	8	56	analog	analog	NOUN
ajst-22376	8	57	circuit	circuit	NOUN
ajst-22376	8	58	fault	fault	NOUN
ajst-22376	8	59	diagnosis	diagnosis	NOUN
ajst-22376	9	1	[	[	X
ajst-22376	9	2	3	3	NUM
ajst-22376	9	3	-	-	SYM
ajst-22376	9	4	5	5	NUM
ajst-22376	9	5	]	]	PUNCT
ajst-22376	9	6	.	.	PUNCT
ajst-22376	10	1	however	however	ADV
ajst-22376	10	2	,	,	PUNCT
ajst-22376	10	3	due	due	ADP
ajst-22376	10	4	to	to	ADP
ajst-22376	10	5	the	the	DET
ajst-22376	10	6	complex	complex	ADJ
ajst-22376	10	7	fault	fault	NOUN
ajst-22376	10	8	phenomena	phenomenon	NOUN
ajst-22376	10	9	of	of	ADP
ajst-22376	10	10	analog	analog	NOUN
ajst-22376	10	11	circuits	circuit	NOUN
ajst-22376	10	12	,	,	PUNCT
ajst-22376	10	13	the	the	DET
ajst-22376	10	14	input	input	NOUN
ajst-22376	10	15	-	-	PUNCT
ajst-22376	10	16	output	output	NOUN
ajst-22376	10	17	relationship	relationship	NOUN
ajst-22376	10	18	of	of	ADP
ajst-22376	10	19	analog	analog	NOUN
ajst-22376	10	20	circuits	circuit	NOUN
ajst-22376	10	21	is	be	AUX
ajst-22376	10	22	often	often	ADV
ajst-22376	10	23	a	a	DET
ajst-22376	10	24	nonlinear	nonlinear	ADJ
ajst-22376	10	25	mapping	mapping	NOUN
ajst-22376	10	26	relationship	relationship	NOUN
ajst-22376	10	27	,	,	PUNCT
ajst-22376	10	28	which	which	PRON
ajst-22376	10	29	makes	make	VERB
ajst-22376	10	30	it	it	PRON
ajst-22376	10	31	difficult	difficult	ADJ
ajst-22376	10	32	to	to	PART
ajst-22376	10	33	establish	establish	VERB
ajst-22376	10	34	an	an	DET
ajst-22376	10	35	accurate	accurate	ADJ
ajst-22376	10	36	mathematical	mathematical	ADJ
ajst-22376	10	37	model	model	NOUN
ajst-22376	10	38	of	of	ADP
ajst-22376	10	39	circuit	circuit	NOUN
ajst-22376	10	40	response	response	NOUN
ajst-22376	10	41	in	in	ADP
ajst-22376	10	42	practical	practical	ADJ
ajst-22376	10	43	applications	application	NOUN
ajst-22376	10	44	.	.	PUNCT
ajst-22376	11	1	since	since	SCONJ
ajst-22376	11	2	the	the	DET
ajst-22376	11	3	actual	actual	ADJ
ajst-22376	11	4	parameter	parameter	NOUN
ajst-22376	11	5	values	value	NOUN
ajst-22376	11	6	of	of	ADP
ajst-22376	11	7	the	the	DET
ajst-22376	11	8	non	non	ADJ
ajst-22376	11	9	-	-	ADJ
ajst-22376	11	10	faulty	faulty	ADJ
ajst-22376	11	11	components	component	NOUN
ajst-22376	11	12	of	of	ADP
ajst-22376	11	13	analog	analog	NOUN
ajst-22376	11	14	circuits	circuit	NOUN
ajst-22376	11	15	will	will	AUX
ajst-22376	11	16	fluctuate	fluctuate	VERB
ajst-22376	11	17	randomly	randomly	ADV
ajst-22376	11	18	above	above	ADP
ajst-22376	11	19	and	and	CCONJ
ajst-22376	11	20	below	below	ADP
ajst-22376	11	21	the	the	DET
ajst-22376	11	22	nominal	nominal	ADJ
ajst-22376	11	23	values	value	NOUN
ajst-22376	11	24	,	,	PUNCT
ajst-22376	11	25	it	it	PRON
ajst-22376	11	26	makes	make	VERB
ajst-22376	11	27	it	it	PRON
ajst-22376	11	28	difficult	difficult	ADJ
ajst-22376	11	29	for	for	ADP
ajst-22376	11	30	the	the	DET
ajst-22376	11	31	traditional	traditional	ADJ
ajst-22376	11	32	analog	analog	NOUN
ajst-22376	11	33	circuit	circuit	NOUN
ajst-22376	11	34	fault	fault	NOUN
ajst-22376	11	35	diagnosis	diagnosis	NOUN
ajst-22376	11	36	methods	method	NOUN
ajst-22376	11	37	such	such	ADJ
ajst-22376	11	38	as	as	ADP
ajst-22376	11	39	the	the	DET
ajst-22376	11	40	fault	fault	NOUN
ajst-22376	11	41	dictionary	dictionary	ADJ
ajst-22376	11	42	method	method	NOUN
ajst-22376	11	43	and	and	CCONJ
ajst-22376	11	44	the	the	DET
ajst-22376	11	45	parameter	parameter	NOUN
ajst-22376	11	46	identification	identification	NOUN
ajst-22376	11	47	method	method	NOUN
ajst-22376	11	48	[	[	X
ajst-22376	11	49	6	6	NUM
ajst-22376	11	50	-	-	SYM
ajst-22376	11	51	7	7	NUM
ajst-22376	11	52	]	]	PUNCT
ajst-22376	11	53	to	to	PART
ajst-22376	11	54	play	play	VERB
ajst-22376	11	55	an	an	DET
ajst-22376	11	56	important	important	ADJ
ajst-22376	11	57	role	role	NOUN
ajst-22376	11	58	in	in	ADP
ajst-22376	11	59	real	real	ADJ
ajst-22376	11	60	production	production	NOUN
ajst-22376	11	61	life	life	NOUN
ajst-22376	11	62	.	.	PUNCT
ajst-22376	12	1	with	with	ADP
ajst-22376	12	2	the	the	DET
ajst-22376	12	3	in	in	ADP
ajst-22376	12	4	-	-	PUNCT
ajst-22376	12	5	depth	depth	NOUN
ajst-22376	12	6	study	study	NOUN
ajst-22376	12	7	of	of	ADP
ajst-22376	12	8	fault	fault	NOUN
ajst-22376	12	9	diagnosis	diagnosis	NOUN
ajst-22376	12	10	technology	technology	NOUN
ajst-22376	12	11	,	,	PUNCT
ajst-22376	12	12	signal	signal	ADJ
ajst-22376	12	13	processing	processing	NOUN
ajst-22376	12	14	methods	method	NOUN
ajst-22376	12	15	such	such	ADJ
ajst-22376	12	16	as	as	ADP
ajst-22376	12	17	wavelet	wavelet	NOUN
ajst-22376	12	18	transform	transform	NOUN
ajst-22376	12	19	are	be	AUX
ajst-22376	12	20	widely	widely	ADV
ajst-22376	12	21	used	use	VERB
ajst-22376	12	22	in	in	ADP
ajst-22376	12	23	nonlinear	nonlinear	ADJ
ajst-22376	12	24	system	system	NOUN
ajst-22376	12	25	fault	fault	NOUN
ajst-22376	12	26	feature	feature	NOUN
ajst-22376	12	27	extraction	extraction	NOUN
ajst-22376	12	28	and	and	CCONJ
ajst-22376	12	29	diagnosis	diagnosis	NOUN
ajst-22376	12	30	[	[	X
ajst-22376	12	31	8	8	NUM
ajst-22376	12	32	]	]	PUNCT
ajst-22376	12	33	,	,	PUNCT
ajst-22376	12	34	but	but	CCONJ
ajst-22376	12	35	the	the	DET
ajst-22376	12	36	signal	signal	ADJ
ajst-22376	12	37	processing	processing	NOUN
ajst-22376	12	38	methods	method	NOUN
ajst-22376	12	39	are	be	AUX
ajst-22376	12	40	prone	prone	ADJ
ajst-22376	12	41	to	to	PART
ajst-22376	12	42	ignore	ignore	VERB
ajst-22376	12	43	the	the	DET
ajst-22376	12	44	essential	essential	ADJ
ajst-22376	12	45	features	feature	NOUN
ajst-22376	12	46	in	in	ADP
ajst-22376	12	47	the	the	DET
ajst-22376	12	48	process	process	NOUN
ajst-22376	12	49	of	of	ADP
ajst-22376	12	50	feature	feature	NOUN
ajst-22376	12	51	extraction	extraction	NOUN
ajst-22376	12	52	,	,	PUNCT
ajst-22376	12	53	which	which	PRON
ajst-22376	12	54	leads	lead	VERB
ajst-22376	12	55	to	to	ADP
ajst-22376	12	56	the	the	DET
ajst-22376	12	57	low	low	ADJ
ajst-22376	12	58	efficiency	efficiency	NOUN
ajst-22376	12	59	and	and	CCONJ
ajst-22376	12	60	accuracy	accuracy	NOUN
ajst-22376	12	61	of	of	ADP
ajst-22376	12	62	nonlinear	nonlinear	ADJ
ajst-22376	12	63	analog	analog	NOUN
ajst-22376	12	64	circuit	circuit	NOUN
ajst-22376	12	65	fault	fault	NOUN
ajst-22376	12	66	diagnosis	diagnosis	NOUN
ajst-22376	13	1	[	[	X
ajst-22376	13	2	9	9	NUM
ajst-22376	13	3	]	]	PUNCT
ajst-22376	13	4	.	.	PUNCT
ajst-22376	14	1	in	in	ADP
ajst-22376	14	2	order	order	NOUN
ajst-22376	14	3	to	to	PART
ajst-22376	14	4	solve	solve	VERB
ajst-22376	14	5	the	the	DET
ajst-22376	14	6	above	above	ADJ
ajst-22376	14	7	problems	problem	NOUN
ajst-22376	14	8	,	,	PUNCT
ajst-22376	14	9	data	data	NOUN
ajst-22376	14	10	-	-	PUNCT
ajst-22376	14	11	driven	drive	VERB
ajst-22376	14	12	artificial	artificial	ADJ
ajst-22376	14	13	intelligence	intelligence	NOUN
ajst-22376	14	14	methods	method	NOUN
ajst-22376	14	15	such	such	ADJ
ajst-22376	14	16	as	as	ADP
ajst-22376	14	17	support	support	NOUN
ajst-22376	14	18	vector	vector	NOUN
ajst-22376	14	19	machine	machine	NOUN
ajst-22376	14	20	(	(	PUNCT
ajst-22376	14	21	svm	svm	PROPN
ajst-22376	14	22	)	)	PUNCT
ajst-22376	14	23	[	[	X
ajst-22376	14	24	10	10	NUM
ajst-22376	14	25	]	]	PUNCT
ajst-22376	14	26	and	and	CCONJ
ajst-22376	14	27	extreme	extreme	ADJ
ajst-22376	14	28	learning	learning	NOUN
ajst-22376	14	29	machine	machine	NOUN
ajst-22376	14	30	(	(	PUNCT
ajst-22376	14	31	elm	elm	NOUN
ajst-22376	14	32	)	)	PUNCT
ajst-22376	15	1	[	[	X
ajst-22376	15	2	11	11	NUM
ajst-22376	15	3	]	]	PUNCT
ajst-22376	15	4	are	be	AUX
ajst-22376	15	5	widely	widely	ADV
ajst-22376	15	6	entered	enter	VERB
ajst-22376	15	7	into	into	ADP
ajst-22376	15	8	the	the	DET
ajst-22376	15	9	research	research	NOUN
ajst-22376	15	10	field	field	NOUN
ajst-22376	15	11	,	,	PUNCT
ajst-22376	15	12	providing	provide	VERB
ajst-22376	15	13	feasible	feasible	ADJ
ajst-22376	15	14	technical	technical	ADJ
ajst-22376	15	15	support	support	NOUN
ajst-22376	15	16	for	for	ADP
ajst-22376	15	17	analog	analog	NOUN
ajst-22376	15	18	circuit	circuit	NOUN
ajst-22376	15	19	fault	fault	NOUN
ajst-22376	15	20	diagnosis	diagnosis	NOUN
ajst-22376	15	21	.	.	PUNCT
ajst-22376	16	1	literature	literature	NOUN
ajst-22376	17	1	[	[	X
ajst-22376	17	2	12	12	NUM
ajst-22376	17	3	]	]	PUNCT
ajst-22376	17	4	proposed	propose	VERB
ajst-22376	17	5	a	a	DET
ajst-22376	17	6	conventional	conventional	ADJ
ajst-22376	17	7	time	time	NOUN
ajst-22376	17	8	-	-	PUNCT
ajst-22376	17	9	domain	domain	NOUN
ajst-22376	17	10	feature	feature	NOUN
ajst-22376	17	11	vector	vector	NOUN
ajst-22376	17	12	based	base	VERB
ajst-22376	17	13	on	on	ADP
ajst-22376	17	14	the	the	DET
ajst-22376	17	15	impulse	impulse	ADJ
ajst-22376	17	16	response	response	NOUN
ajst-22376	17	17	characteristics	characteristic	NOUN
ajst-22376	17	18	of	of	ADP
ajst-22376	17	19	a	a	DET
ajst-22376	17	20	control	control	NOUN
ajst-22376	17	21	system	system	NOUN
ajst-22376	17	22	,	,	PUNCT
ajst-22376	17	23	and	and	CCONJ
ajst-22376	17	24	according	accord	VERB
ajst-22376	17	25	to	to	ADP
ajst-22376	17	26	the	the	DET
ajst-22376	17	27	least	least	ADJ
ajst-22376	17	28	squares	square	NOUN
ajst-22376	17	29	support	support	NOUN
ajst-22376	17	30	vector	vector	NOUN
ajst-22376	17	31	machine	machine	NOUN
ajst-22376	17	32	(	(	PUNCT
ajst-22376	17	33	lssvm	lssvm	NOUN
ajst-22376	17	34	)	)	PUNCT
ajst-22376	17	35	experiments	experiment	NOUN
ajst-22376	17	36	show	show	VERB
ajst-22376	17	37	that	that	SCONJ
ajst-22376	17	38	the	the	DET
ajst-22376	17	39	classification	classification	NOUN
ajst-22376	17	40	performance	performance	NOUN
ajst-22376	17	41	of	of	ADP
ajst-22376	17	42	lssvm	lssvm	NOUN
ajst-22376	17	43	can	can	AUX
ajst-22376	17	44	be	be	AUX
ajst-22376	17	45	improved	improve	VERB
ajst-22376	17	46	by	by	ADP
ajst-22376	17	47	using	use	VERB
ajst-22376	17	48	the	the	DET
ajst-22376	17	49	improved	improved	ADJ
ajst-22376	17	50	vector	vector	NOUN
ajst-22376	17	51	.	.	PUNCT
ajst-22376	18	1	literature	literature	NOUN
ajst-22376	18	2	[	[	X
ajst-22376	18	3	13	13	NUM
ajst-22376	18	4	]	]	PUNCT
ajst-22376	18	5	utilizes	utilize	VERB
ajst-22376	18	6	the	the	DET
ajst-22376	18	7	particle	particle	NOUN
ajst-22376	18	8	swarm	swarm	NOUN
ajst-22376	18	9	optimization	optimization	NOUN
ajst-22376	18	10	(	(	PUNCT
ajst-22376	18	11	pso	pso	NOUN
ajst-22376	18	12	)	)	PUNCT
ajst-22376	18	13	algorithm	algorithm	NOUN
ajst-22376	18	14	with	with	ADP
ajst-22376	18	15	mahalanobis	mahalanobis	ADJ
ajst-22376	18	16	distance	distance	NOUN
ajst-22376	18	17	(	(	PUNCT
ajst-22376	18	18	md	md	PROPN
ajst-22376	18	19	)	)	PUNCT
ajst-22376	18	20	to	to	PART
ajst-22376	18	21	optimize	optimize	VERB
ajst-22376	18	22	the	the	DET
ajst-22376	18	23	classifier	classifier	NOUN
ajst-22376	18	24	and	and	CCONJ
ajst-22376	18	25	select	select	VERB
ajst-22376	18	26	the	the	DET
ajst-22376	18	27	feature	feature	NOUN
ajst-22376	18	28	vectors	vector	NOUN
ajst-22376	18	29	reasonably	reasonably	ADV
ajst-22376	18	30	so	so	ADV
ajst-22376	18	31	as	as	SCONJ
ajst-22376	18	32	to	to	PART
ajst-22376	18	33	improve	improve	VERB
ajst-22376	18	34	the	the	DET
ajst-22376	18	35	classification	classification	NOUN
ajst-22376	18	36	accuracy	accuracy	NOUN
ajst-22376	18	37	.	.	PUNCT
ajst-22376	19	1	however	however	ADV
ajst-22376	19	2	,	,	PUNCT
ajst-22376	19	3	literature	literature	PROPN
ajst-22376	20	1	[	[	X
ajst-22376	20	2	14	14	NUM
ajst-22376	20	3	]	]	PUNCT
ajst-22376	20	4	points	point	VERB
ajst-22376	20	5	out	out	ADP
ajst-22376	20	6	that	that	SCONJ
ajst-22376	20	7	the	the	DET
ajst-22376	20	8	use	use	NOUN
ajst-22376	20	9	of	of	ADP
ajst-22376	20	10	shallow	shallow	ADJ
ajst-22376	20	11	learning	learning	NOUN
ajst-22376	20	12	models	model	NOUN
ajst-22376	20	13	can	can	AUX
ajst-22376	20	14	not	not	PART
ajst-22376	20	15	comprehensively	comprehensively	ADV
ajst-22376	20	16	and	and	CCONJ
ajst-22376	20	17	thoroughly	thoroughly	ADV
ajst-22376	20	18	reveal	reveal	VERB
ajst-22376	20	19	the	the	DET
ajst-22376	20	20	complex	complex	ADJ
ajst-22376	20	21	intrinsic	intrinsic	ADJ
ajst-22376	20	22	relationship	relationship	NOUN
ajst-22376	20	23	between	between	ADP
ajst-22376	20	24	fault	fault	NOUN
ajst-22376	20	25	root	root	NOUN
ajst-22376	20	26	causes	cause	NOUN
ajst-22376	20	27	and	and	CCONJ
ajst-22376	20	28	signal	signal	ADJ
ajst-22376	20	29	features	feature	NOUN
ajst-22376	20	30	.	.	PUNCT
ajst-22376	21	1	in	in	ADP
ajst-22376	21	2	recent	recent	ADJ
ajst-22376	21	3	years	year	NOUN
ajst-22376	21	4	,	,	PUNCT
ajst-22376	21	5	deep	deep	ADJ
ajst-22376	21	6	learning	learning	NOUN
ajst-22376	21	7	such	such	ADJ
ajst-22376	21	8	as	as	ADP
ajst-22376	21	9	deep	deep	ADJ
ajst-22376	21	10	belief	belief	NOUN
ajst-22376	21	11	network	network	NOUN
ajst-22376	21	12	(	(	PUNCT
ajst-22376	21	13	dbn	dbn	PROPN
ajst-22376	21	14	)	)	PUNCT
ajst-22376	22	1	[	[	X
ajst-22376	22	2	15	15	NUM
ajst-22376	22	3	]	]	PUNCT
ajst-22376	22	4	has	have	AUX
ajst-22376	22	5	been	be	AUX
ajst-22376	22	6	widely	widely	ADV
ajst-22376	22	7	applied	apply	VERB
ajst-22376	22	8	in	in	ADP
ajst-22376	22	9	the	the	DET
ajst-22376	22	10	field	field	NOUN
ajst-22376	22	11	of	of	ADP
ajst-22376	22	12	fault	fault	NOUN
ajst-22376	22	13	diagnosis	diagnosis	NOUN
ajst-22376	22	14	with	with	ADP
ajst-22376	22	15	its	its	PRON
ajst-22376	22	16	powerful	powerful	ADJ
ajst-22376	22	17	learning	learning	NOUN
ajst-22376	22	18	and	and	CCONJ
ajst-22376	22	19	feature	feature	NOUN
ajst-22376	22	20	extraction	extraction	NOUN
ajst-22376	22	21	capabilities	capability	NOUN
ajst-22376	22	22	[	[	X
ajst-22376	22	23	16	16	NUM
ajst-22376	22	24	]	]	PUNCT
ajst-22376	22	25	.	.	PUNCT
ajst-22376	23	1	literature	literature	NOUN
ajst-22376	23	2	[	[	X
ajst-22376	23	3	17	17	NUM
ajst-22376	23	4	]	]	PUNCT
ajst-22376	23	5	uses	use	VERB
ajst-22376	23	6	dbn	dbn	PROPN
ajst-22376	23	7	network	network	NOUN
ajst-22376	23	8	to	to	PART
ajst-22376	23	9	adaptively	adaptively	ADV
ajst-22376	23	10	extract	extract	VERB
ajst-22376	23	11	the	the	DET
ajst-22376	23	12	features	feature	NOUN
ajst-22376	23	13	of	of	ADP
ajst-22376	23	14	signals	signal	NOUN
ajst-22376	23	15	and	and	CCONJ
ajst-22376	23	16	automatically	automatically	ADV
ajst-22376	23	17	classify	classify	VERB
ajst-22376	23	18	them	they	PRON
ajst-22376	23	19	,	,	PUNCT
ajst-22376	23	20	which	which	PRON
ajst-22376	23	21	can	can	AUX
ajst-22376	23	22	flexibly	flexibly	ADV
ajst-22376	23	23	and	and	CCONJ
ajst-22376	23	24	efficiently	efficiently	ADV
ajst-22376	23	25	diagnose	diagnose	VERB
ajst-22376	23	26	the	the	DET
ajst-22376	23	27	faults	fault	NOUN
ajst-22376	23	28	of	of	ADP
ajst-22376	23	29	analog	analog	NOUN
ajst-22376	23	30	circuits	circuit	NOUN
ajst-22376	23	31	,	,	PUNCT
ajst-22376	23	32	and	and	CCONJ
ajst-22376	23	33	provide	provide	VERB
ajst-22376	23	34	new	new	ADJ
ajst-22376	23	35	solution	solution	NOUN
ajst-22376	23	36	ideas	idea	NOUN
ajst-22376	23	37	for	for	ADP
ajst-22376	23	38	different	different	ADJ
ajst-22376	23	39	diagnostic	diagnostic	ADJ
ajst-22376	23	40	problems	problem	NOUN
ajst-22376	23	41	.	.	PUNCT
ajst-22376	24	1	literature	literature	NOUN
ajst-22376	25	1	[	[	X
ajst-22376	25	2	18	18	NUM
ajst-22376	25	3	]	]	PUNCT
ajst-22376	25	4	proposed	propose	VERB
ajst-22376	25	5	that	that	SCONJ
ajst-22376	25	6	gauss	gaus	VERB
ajst-22376	25	7	-	-	PUNCT
ajst-22376	25	8	bernoulli	bernoulli	NOUN
ajst-22376	25	9	deep	deep	ADJ
ajst-22376	25	10	confidence	confidence	NOUN
ajst-22376	25	11	network	network	NOUN
ajst-22376	25	12	(	(	PUNCT
ajst-22376	25	13	gb	gb	NOUN
ajst-22376	25	14	-	-	PUNCT
ajst-22376	25	15	dbn	dbn	NOUN
ajst-22376	25	16	)	)	PUNCT
ajst-22376	25	17	can	can	AUX
ajst-22376	25	18	capture	capture	VERB
ajst-22376	25	19	the	the	DET
ajst-22376	25	20	higher	high	ADJ
ajst-22376	25	21	-	-	PUNCT
ajst-22376	25	22	order	order	NOUN
ajst-22376	25	23	semantic	semantic	ADJ
ajst-22376	25	24	features	feature	NOUN
ajst-22376	25	25	in	in	ADP
ajst-22376	25	26	the	the	DET
ajst-22376	25	27	original	original	ADJ
ajst-22376	25	28	output	output	NOUN
ajst-22376	25	29	signals	signal	NOUN
ajst-22376	25	30	more	more	ADV
ajst-22376	25	31	efficiently	efficiently	ADV
ajst-22376	25	32	and	and	CCONJ
ajst-22376	25	33	make	make	VERB
ajst-22376	25	34	the	the	DET
ajst-22376	25	35	diagnosis	diagnosis	NOUN
ajst-22376	25	36	results	result	VERB
ajst-22376	25	37	more	more	ADV
ajst-22376	25	38	accurate	accurate	ADJ
ajst-22376	25	39	.	.	PUNCT
ajst-22376	26	1	these	these	DET
ajst-22376	26	2	literatures	literature	NOUN
ajst-22376	26	3	provide	provide	VERB
ajst-22376	26	4	references	reference	NOUN
ajst-22376	26	5	for	for	ADP
ajst-22376	26	6	this	this	DET
ajst-22376	26	7	paper	paper	NOUN
ajst-22376	26	8	during	during	ADP
ajst-22376	26	9	the	the	DET
ajst-22376	26	10	research	research	NOUN
ajst-22376	26	11	process	process	NOUN
ajst-22376	26	12	.	.	PUNCT
ajst-22376	27	1	although	although	SCONJ
ajst-22376	27	2	dbn	dbn	PROPN
ajst-22376	27	3	shows	show	VERB
ajst-22376	27	4	a	a	DET
ajst-22376	27	5	wide	wide	ADJ
ajst-22376	27	6	range	range	NOUN
ajst-22376	27	7	of	of	ADP
ajst-22376	27	8	application	application	NOUN
ajst-22376	27	9	prospects	prospect	NOUN
ajst-22376	27	10	in	in	ADP
ajst-22376	27	11	several	several	ADJ
ajst-22376	27	12	fields	field	NOUN
ajst-22376	27	13	,	,	PUNCT
ajst-22376	27	14	however	however	ADV
ajst-22376	27	15	,	,	PUNCT
ajst-22376	27	16	since	since	SCONJ
ajst-22376	27	17	the	the	DET
ajst-22376	27	18	traditional	traditional	ADJ
ajst-22376	27	19	dbn	dbn	PROPN
ajst-22376	27	20	utilizes	utilize	VERB
ajst-22376	27	21	the	the	DET
ajst-22376	27	22	bp	bp	PROPN
ajst-22376	27	23	algorithm	algorithm	NOUN
ajst-22376	27	24	to	to	ADP
ajst-22376	27	25	inversely	inversely	ADV
ajst-22376	27	26	fine	fine	ADJ
ajst-22376	27	27	-	-	PUNCT
ajst-22376	27	28	tune	tune	NOUN
ajst-22376	27	29	the	the	DET
ajst-22376	27	30	weights	weight	NOUN
ajst-22376	27	31	,	,	PUNCT
ajst-22376	27	32	the	the	DET
ajst-22376	27	33	bp	bp	PROPN
ajst-22376	27	34	algorithm	algorithm	PROPN
ajst-22376	27	35	suffers	suffer	VERB
ajst-22376	27	36	from	from	ADP
ajst-22376	27	37	the	the	DET
ajst-22376	27	38	problem	problem	NOUN
ajst-22376	27	39	of	of	ADP
ajst-22376	27	40	easily	easily	ADV
ajst-22376	27	41	falling	fall	VERB
ajst-22376	27	42	into	into	ADP
ajst-22376	27	43	the	the	DET
ajst-22376	27	44	local	local	ADJ
ajst-22376	27	45	minima	minima	NOUN
ajst-22376	27	46	,	,	PUNCT
ajst-22376	27	47	so	so	SCONJ
ajst-22376	27	48	that	that	SCONJ
ajst-22376	27	49	its	its	PRON
ajst-22376	27	50	performance	performance	NOUN
ajst-22376	27	51	will	will	AUX
ajst-22376	27	52	be	be	AUX
ajst-22376	27	53	affected	affect	VERB
ajst-22376	27	54	by	by	ADP
ajst-22376	27	55	this	this	PRON
ajst-22376	27	56	as	as	ADV
ajst-22376	27	57	well	well	ADV
ajst-22376	27	58	.	.	PUNCT
ajst-22376	28	1	in	in	ADP
ajst-22376	28	2	order	order	NOUN
ajst-22376	28	3	to	to	PART
ajst-22376	28	4	obtain	obtain	VERB
ajst-22376	28	5	a	a	DET
ajst-22376	28	6	dbn	dbn	NOUN
ajst-22376	28	7	model	model	NOUN
ajst-22376	28	8	with	with	ADP
ajst-22376	28	9	strong	strong	ADJ
ajst-22376	28	10	robustness	robustness	NOUN
ajst-22376	28	11	and	and	CCONJ
ajst-22376	28	12	at	at	ADP
ajst-22376	28	13	the	the	DET
ajst-22376	28	14	same	same	ADJ
ajst-22376	28	15	time	time	NOUN
ajst-22376	28	16	able	able	ADJ
ajst-22376	28	17	to	to	PART
ajst-22376	28	18	avoid	avoid	VERB
ajst-22376	28	19	local	local	ADJ
ajst-22376	28	20	minima	minima	NOUN
ajst-22376	28	21	,	,	PUNCT
ajst-22376	28	22	the	the	DET
ajst-22376	28	23	imoda	imoda	NOUN
ajst-22376	28	24	algorithm	algorithm	NOUN
ajst-22376	28	25	is	be	AUX
ajst-22376	28	26	utilized	utilize	VERB
ajst-22376	28	27	to	to	ADP
ajst-22376	28	28	fine	fine	ADJ
ajst-22376	28	29	-	-	PUNCT
ajst-22376	28	30	tune	tune	NOUN
ajst-22376	28	31	the	the	DET
ajst-22376	28	32	weights	weight	NOUN
ajst-22376	28	33	,	,	PUNCT
ajst-22376	28	34	and	and	CCONJ
ajst-22376	28	35	finally	finally	ADV
ajst-22376	28	36	simulation	simulation	NOUN
ajst-22376	28	37	experiments	experiment	NOUN
ajst-22376	28	38	are	be	AUX
ajst-22376	28	39	carried	carry	VERB
ajst-22376	28	40	out	out	ADP
ajst-22376	28	41	using	use	VERB
ajst-22376	28	42	a	a	DET
ajst-22376	28	43	two	two	NUM
ajst-22376	28	44	-	-	PUNCT
ajst-22376	28	45	stage	stage	NOUN
ajst-22376	28	46	quad	quad	ADJ
ajst-22376	28	47	-	-	PUNCT
ajst-22376	28	48	op	op	NOUN
ajst-22376	28	49	-	-	PUNCT
ajst-22376	28	50	amp	amp	NOUN
ajst-22376	28	51	dual	dual	ADJ
ajst-22376	28	52	second	second	ADJ
ajst-22376	28	53	-	-	PUNCT
ajst-22376	28	54	order	order	NOUN
ajst-22376	28	55	complex	complex	ADJ
ajst-22376	28	56	circuit	circuit	NOUN
ajst-22376	28	57	to	to	PART
ajst-22376	28	58	verify	verify	VERB
ajst-22376	28	59	the	the	DET
ajst-22376	28	60	superiority	superiority	NOUN
ajst-22376	28	61	of	of	ADP
ajst-22376	28	62	the	the	DET
ajst-22376	28	63	diagnostic	diagnostic	ADJ
ajst-22376	28	64	model	model	NOUN
ajst-22376	28	65	in	in	ADP
ajst-22376	28	66	this	this	DET
ajst-22376	28	67	paper	paper	NOUN
ajst-22376	28	68	.	.	PUNCT
ajst-22376	29	1	in	in	ADP
ajst-22376	29	2	summary	summary	NOUN
ajst-22376	29	3	,	,	PUNCT
ajst-22376	29	4	the	the	DET
ajst-22376	29	5	main	main	ADJ
ajst-22376	29	6	contributions	contribution	NOUN
ajst-22376	29	7	of	of	ADP
ajst-22376	29	8	this	this	DET
ajst-22376	29	9	paper	paper	NOUN
ajst-22376	29	10	are	be	AUX
ajst-22376	29	11	summarized	summarize	VERB
ajst-22376	29	12	as	as	SCONJ
ajst-22376	29	13	follows	follow	VERB
ajst-22376	29	14	.	.	PUNCT
ajst-22376	30	1	1	1	X
ajst-22376	30	2	)	)	PUNCT
ajst-22376	30	3	considering	consider	VERB
ajst-22376	30	4	that	that	SCONJ
ajst-22376	30	5	the	the	DET
ajst-22376	30	6	bp	bp	PROPN
ajst-22376	30	7	algorithm	algorithm	PROPN
ajst-22376	30	8	used	use	VERB
ajst-22376	30	9	in	in	ADP
ajst-22376	30	10	the	the	DET
ajst-22376	30	11	supervised	supervised	ADJ
ajst-22376	30	12	learning	learn	VERB
ajst-22376	30	13	part	part	NOUN
ajst-22376	30	14	of	of	ADP
ajst-22376	30	15	the	the	DET
ajst-22376	30	16	traditional	traditional	ADJ
ajst-22376	30	17	dbn	dbn	PROPN
ajst-22376	30	18	has	have	VERB
ajst-22376	30	19	problems	problem	NOUN
ajst-22376	30	20	such	such	ADJ
ajst-22376	30	21	as	as	ADP
ajst-22376	30	22	easy	easy	ADJ
ajst-22376	30	23	to	to	PART
ajst-22376	30	24	fall	fall	VERB
ajst-22376	30	25	into	into	ADP
ajst-22376	30	26	local	local	ADJ
ajst-22376	30	27	optimization	optimization	NOUN
ajst-22376	30	28	.	.	PUNCT
ajst-22376	31	1	therefore	therefore	ADV
ajst-22376	31	2	,	,	PUNCT
ajst-22376	31	3	imoda	imoda	PROPN
ajst-22376	31	4	algorithm	algorithm	PROPN
ajst-22376	31	5	is	be	AUX
ajst-22376	31	6	used	use	VERB
ajst-22376	31	7	to	to	PART
ajst-22376	31	8	replace	replace	VERB
ajst-22376	31	9	the	the	DET
ajst-22376	31	10	traditional	traditional	ADJ
ajst-22376	31	11	bp	bp	PROPN
ajst-22376	31	12	algorithm	algorithm	NOUN
ajst-22376	31	13	to	to	PART
ajst-22376	31	14	improve	improve	VERB
ajst-22376	31	15	the	the	DET
ajst-22376	31	16	classification	classification	NOUN
ajst-22376	31	17	effect	effect	NOUN
ajst-22376	31	18	of	of	ADP
ajst-22376	31	19	the	the	DET
ajst-22376	31	20	model	model	NOUN
ajst-22376	31	21	.	.	PUNCT
ajst-22376	32	1	in	in	ADP
ajst-22376	32	2	addition	addition	NOUN
ajst-22376	32	3	,	,	PUNCT
ajst-22376	32	4	three	three	NUM
ajst-22376	32	5	multi	multi	ADJ
ajst-22376	32	6	-	-	ADJ
ajst-22376	32	7	objective	objective	ADJ
ajst-22376	32	8	mathematical	mathematical	ADJ
ajst-22376	32	9	benchmark	benchmark	NOUN
ajst-22376	32	10	problems	problem	NOUN
ajst-22376	32	11	are	be	AUX
ajst-22376	32	12	used	use	VERB
ajst-22376	32	13	to	to	PART
ajst-22376	32	14	verify	verify	VERB
ajst-22376	32	15	the	the	DET
ajst-22376	32	16	stability	stability	NOUN
ajst-22376	32	17	and	and	CCONJ
ajst-22376	32	18	convergence	convergence	NOUN
ajst-22376	32	19	of	of	ADP
ajst-22376	32	20	the	the	DET
ajst-22376	32	21	imoda	imoda	NOUN
ajst-22376	32	22	algorithm	algorithm	NOUN
ajst-22376	32	23	.	.	PUNCT
ajst-22376	33	1	2	2	X
ajst-22376	33	2	)	)	PUNCT
ajst-22376	33	3	based	base	VERB
ajst-22376	33	4	on	on	ADP
ajst-22376	33	5	the	the	DET
ajst-22376	33	6	matlab\simulink	matlab\simulink	NUM
ajst-22376	33	7	platform	platform	NOUN
ajst-22376	33	8	,	,	PUNCT
ajst-22376	33	9	a	a	DET
ajst-22376	33	10	two	two	NUM
ajst-22376	33	11	-	-	PUNCT
ajst-22376	33	12	stage	stage	NOUN
ajst-22376	33	13	224	224	NUM
ajst-22376	33	14	four	four	NUM
ajst-22376	33	15	-	-	PUNCT
ajst-22376	33	16	op	op	NOUN
ajst-22376	33	17	-	-	PUNCT
ajst-22376	33	18	amp	amp	NOUN
ajst-22376	33	19	dual	dual	ADJ
ajst-22376	33	20	second	second	ADJ
ajst-22376	33	21	-	-	PUNCT
ajst-22376	33	22	order	order	NOUN
ajst-22376	33	23	low	low	ADJ
ajst-22376	33	24	-	-	PUNCT
ajst-22376	33	25	pass	pass	NOUN
ajst-22376	33	26	filter	filter	NOUN
ajst-22376	33	27	is	be	AUX
ajst-22376	33	28	constructed	construct	VERB
ajst-22376	33	29	,	,	PUNCT
ajst-22376	33	30	and	and	CCONJ
ajst-22376	33	31	the	the	DET
ajst-22376	33	32	simulation	simulation	NOUN
ajst-22376	33	33	experiments	experiment	VERB
ajst-22376	33	34	about	about	ADP
ajst-22376	33	35	the	the	DET
ajst-22376	33	36	imoda	imoda	NOUN
ajst-22376	33	37	-	-	PUNCT
ajst-22376	33	38	adbn	adbn	NOUN
ajst-22376	33	39	model	model	NOUN
ajst-22376	33	40	are	be	AUX
ajst-22376	33	41	verified	verify	VERB
ajst-22376	33	42	to	to	PART
ajst-22376	33	43	show	show	VERB
ajst-22376	33	44	that	that	SCONJ
ajst-22376	33	45	the	the	DET
ajst-22376	33	46	imoda	imoda	PROPN
ajst-22376	33	47	-	-	PUNCT
ajst-22376	33	48	dbn	dbn	NOUN
ajst-22376	33	49	model	model	NOUN
ajst-22376	33	50	has	have	VERB
ajst-22376	33	51	a	a	DET
ajst-22376	33	52	high	high	ADJ
ajst-22376	33	53	level	level	NOUN
ajst-22376	33	54	of	of	ADP
ajst-22376	33	55	accuracy	accuracy	NOUN
ajst-22376	33	56	,	,	PUNCT
ajst-22376	33	57	reliability	reliability	NOUN
ajst-22376	33	58	and	and	CCONJ
ajst-22376	33	59	generalization	generalization	NOUN
ajst-22376	33	60	performance	performance	NOUN
ajst-22376	33	61	.	.	PUNCT
ajst-22376	34	1	2	2	X
ajst-22376	34	2	.	.	X
ajst-22376	34	3	dbn	dbn	PROPN
ajst-22376	34	4	structure	structure	NOUN
ajst-22376	34	5	2.1	2.1	NUM
ajst-22376	34	6	.	.	PUNCT
ajst-22376	35	1	section	section	NOUN
ajst-22376	35	2	headings	heading	NOUN
ajst-22376	35	3	in	in	ADP
ajst-22376	35	4	2006	2006	NUM
ajst-22376	35	5	hinton	hinton	PROPN
ajst-22376	35	6	proposed	propose	VERB
ajst-22376	35	7	dbn	dbn	PROPN
ajst-22376	35	8	,	,	PUNCT
ajst-22376	35	9	which	which	PRON
ajst-22376	35	10	is	be	AUX
ajst-22376	35	11	a	a	DET
ajst-22376	35	12	probabilistic	probabilistic	ADJ
ajst-22376	35	13	generative	generative	ADJ
ajst-22376	35	14	model	model	NOUN
ajst-22376	35	15	consisting	consist	VERB
ajst-22376	35	16	of	of	ADP
ajst-22376	35	17	a	a	DET
ajst-22376	35	18	stack	stack	NOUN
ajst-22376	35	19	of	of	ADP
ajst-22376	35	20	multiple	multiple	ADJ
ajst-22376	35	21	restricted	restrict	VERB
ajst-22376	35	22	boltzmann	boltzmann	PROPN
ajst-22376	35	23	machines	machine	NOUN
ajst-22376	35	24	(	(	PUNCT
ajst-22376	35	25	rbm	rbm	PROPN
ajst-22376	35	26	)	)	PUNCT
ajst-22376	35	27	.	.	PUNCT
ajst-22376	36	1	the	the	DET
ajst-22376	36	2	rbm	rbm	PROPN
ajst-22376	36	3	acts	act	VERB
ajst-22376	36	4	as	as	ADP
ajst-22376	36	5	a	a	DET
ajst-22376	36	6	two	two	NUM
ajst-22376	36	7	-	-	PUNCT
ajst-22376	36	8	layer	layer	NOUN
ajst-22376	36	9	network	network	NOUN
ajst-22376	36	10	,	,	PUNCT
ajst-22376	36	11	consisting	consist	VERB
ajst-22376	36	12	of	of	ADP
ajst-22376	36	13	a	a	DET
ajst-22376	36	14	visible	visible	ADJ
ajst-22376	36	15	layer	layer	NOUN
ajst-22376	36	16	and	and	CCONJ
ajst-22376	36	17	a	a	DET
ajst-22376	36	18	hidden	hide	VERB
ajst-22376	36	19	layer	layer	NOUN
ajst-22376	36	20	connected	connect	VERB
ajst-22376	36	21	bi	bi	NOUN
ajst-22376	36	22	-	-	PUNCT
ajst-22376	36	23	directionally	directionally	ADV
ajst-22376	36	24	,	,	PUNCT
ajst-22376	36	25	and	and	CCONJ
ajst-22376	36	26	the	the	DET
ajst-22376	36	27	neurons	neuron	NOUN
ajst-22376	36	28	in	in	ADP
ajst-22376	36	29	the	the	DET
ajst-22376	36	30	same	same	ADJ
ajst-22376	36	31	layer	layer	NOUN
ajst-22376	36	32	of	of	ADP
ajst-22376	36	33	the	the	DET
ajst-22376	36	34	network	network	NOUN
ajst-22376	36	35	are	be	AUX
ajst-22376	36	36	independent	independent	ADJ
ajst-22376	36	37	of	of	ADP
ajst-22376	36	38	each	each	DET
ajst-22376	36	39	other	other	ADJ
ajst-22376	36	40	.	.	PUNCT
ajst-22376	37	1	the	the	DET
ajst-22376	37	2	main	main	ADJ
ajst-22376	37	3	role	role	NOUN
ajst-22376	37	4	of	of	ADP
ajst-22376	37	5	the	the	DET
ajst-22376	37	6	visible	visible	ADJ
ajst-22376	37	7	layer	layer	NOUN
ajst-22376	37	8	is	be	AUX
ajst-22376	37	9	the	the	DET
ajst-22376	37	10	input	input	NOUN
ajst-22376	37	11	of	of	ADP
ajst-22376	37	12	training	training	NOUN
ajst-22376	37	13	data	datum	NOUN
ajst-22376	37	14	,	,	PUNCT
ajst-22376	37	15	while	while	SCONJ
ajst-22376	37	16	the	the	DET
ajst-22376	37	17	hidden	hidden	ADJ
ajst-22376	37	18	layer	layer	NOUN
ajst-22376	37	19	is	be	AUX
ajst-22376	37	20	used	use	VERB
ajst-22376	37	21	to	to	PART
ajst-22376	37	22	extract	extract	VERB
ajst-22376	37	23	features	feature	NOUN
ajst-22376	37	24	.	.	PUNCT
ajst-22376	38	1	the	the	DET
ajst-22376	38	2	structure	structure	NOUN
ajst-22376	38	3	of	of	ADP
ajst-22376	38	4	rbm	rbm	PROPN
ajst-22376	38	5	is	be	AUX
ajst-22376	38	6	shown	show	VERB
ajst-22376	38	7	in	in	ADP
ajst-22376	38	8	fig	fig	NOUN
ajst-22376	38	9	.	.	PUNCT
ajst-22376	39	1	1	1	NUM
ajst-22376	39	2	.	.	X
ajst-22376	39	3	where	where	SCONJ
ajst-22376	39	4	w	w	NOUN
ajst-22376	39	5	denotes	denote	VERB
ajst-22376	39	6	the	the	DET
ajst-22376	39	7	connection	connection	NOUN
ajst-22376	39	8	weight	weight	NOUN
ajst-22376	39	9	;	;	PUNCT
ajst-22376	39	10	b	b	X
ajst-22376	39	11	is	be	AUX
ajst-22376	39	12	the	the	DET
ajst-22376	39	13	bias	bias	NOUN
ajst-22376	39	14	coefficient	coefficient	NOUN
ajst-22376	39	15	of	of	ADP
ajst-22376	39	16	the	the	DET
ajst-22376	39	17	hidden	hide	VERB
ajst-22376	39	18	layer	layer	NOUN
ajst-22376	39	19	;	;	PUNCT
ajst-22376	39	20	a	a	PRON
ajst-22376	39	21	is	be	AUX
ajst-22376	39	22	the	the	DET
ajst-22376	39	23	bias	bias	NOUN
ajst-22376	39	24	coefficient	coefficient	NOUN
ajst-22376	39	25	of	of	ADP
ajst-22376	39	26	the	the	DET
ajst-22376	39	27	visible	visible	ADJ
ajst-22376	39	28	layer	layer	NOUN
ajst-22376	39	29	.	.	PUNCT
ajst-22376	40	1	隐藏层	隐藏层	NOUN
ajst-22376	40	2	可视层	可视层	NUM
ajst-22376	40	3	hidden	hide	VERB
ajst-22376	40	4	layer	layer	NOUN
ajst-22376	40	5	visual	visual	ADJ
ajst-22376	40	6	layer	layer	NOUN
ajst-22376	40	7	fig	fig	NOUN
ajst-22376	40	8	1	1	NUM
ajst-22376	40	9	.	.	PUNCT
ajst-22376	41	1	rbm	rbm	PROPN
ajst-22376	41	2	structure	structure	PROPN
ajst-22376	41	3	diagram	diagram	PROPN
ajst-22376	41	4	3	3	NUM
ajst-22376	41	5	.	.	PUNCT
ajst-22376	41	6	improved	improve	VERB
ajst-22376	41	7	imoda	imoda	PROPN
ajst-22376	41	8	-	-	PUNCT
ajst-22376	41	9	dbn	dbn	NOUN
ajst-22376	41	10	learning	learn	VERB
ajst-22376	41	11	algorithm	algorithm	PROPN
ajst-22376	41	12	3.1	3.1	NUM
ajst-22376	41	13	.	.	PUNCT
ajst-22376	41	14	supervised	supervise	VERB
ajst-22376	41	15	fine	fine	ADV
ajst-22376	41	16	-	-	PUNCT
ajst-22376	41	17	tuning	tuning	NOUN
ajst-22376	41	18	based	base	VERB
ajst-22376	41	19	on	on	ADP
ajst-22376	41	20	improved	improved	ADJ
ajst-22376	41	21	multi	multi	ADJ
ajst-22376	41	22	-	-	ADJ
ajst-22376	41	23	objective	objective	ADJ
ajst-22376	41	24	dragonfly	dragonfly	NOUN
ajst-22376	41	25	optimization	optimization	NOUN
ajst-22376	41	26	there	there	PRON
ajst-22376	41	27	are	be	VERB
ajst-22376	41	28	three	three	NUM
ajst-22376	41	29	main	main	ADJ
ajst-22376	41	30	behaviors	behavior	NOUN
ajst-22376	41	31	of	of	ADP
ajst-22376	41	32	insect	insect	NOUN
ajst-22376	41	33	swarms	swarm	NOUN
ajst-22376	41	34	:	:	PUNCT
ajst-22376	41	35	1	1	X
ajst-22376	41	36	)	)	PUNCT
ajst-22376	41	37	separation	separation	NOUN
ajst-22376	41	38	,	,	PUNCT
ajst-22376	41	39	denoting	denote	VERB
ajst-22376	41	40	avoidance	avoidance	NOUN
ajst-22376	41	41	of	of	ADP
ajst-22376	41	42	static	static	ADJ
ajst-22376	41	43	collisions	collision	NOUN
ajst-22376	41	44	between	between	ADP
ajst-22376	41	45	individuals	individual	NOUN
ajst-22376	41	46	and	and	CCONJ
ajst-22376	41	47	neighboring	neighboring	NOUN
ajst-22376	41	48	individuals	individual	NOUN
ajst-22376	41	49	;	;	PUNCT
ajst-22376	41	50	2	2	X
ajst-22376	41	51	)	)	PUNCT
ajst-22376	41	52	alignment	alignment	NOUN
ajst-22376	41	53	,	,	PUNCT
ajst-22376	41	54	which	which	PRON
ajst-22376	41	55	denotes	denote	VERB
ajst-22376	41	56	the	the	DET
ajst-22376	41	57	matching	matching	NOUN
ajst-22376	41	58	of	of	ADP
ajst-22376	41	59	velocity	velocity	NOUN
ajst-22376	41	60	between	between	ADP
ajst-22376	41	61	individuals	individual	NOUN
ajst-22376	41	62	and	and	CCONJ
ajst-22376	41	63	neighboring	neighboring	NOUN
ajst-22376	41	64	individuals	individual	NOUN
ajst-22376	41	65	;	;	PUNCT
ajst-22376	41	66	3	3	X
ajst-22376	41	67	)	)	PUNCT
ajst-22376	41	68	cohesion	cohesion	NOUN
ajst-22376	41	69	,	,	PUNCT
ajst-22376	41	70	refers	refer	VERB
ajst-22376	41	71	to	to	ADP
ajst-22376	41	72	the	the	DET
ajst-22376	41	73	tendency	tendency	NOUN
ajst-22376	41	74	of	of	ADP
ajst-22376	41	75	individuals	individual	NOUN
ajst-22376	41	76	to	to	PART
ajst-22376	41	77	aggregate	aggregate	VERB
ajst-22376	41	78	to	to	ADP
ajst-22376	41	79	the	the	DET
ajst-22376	41	80	center	center	NOUN
ajst-22376	41	81	of	of	ADP
ajst-22376	41	82	the	the	DET
ajst-22376	41	83	surrounding	surround	VERB
ajst-22376	41	84	group	group	NOUN
ajst-22376	41	85	.	.	PUNCT
ajst-22376	42	1	the	the	DET
ajst-22376	42	2	main	main	ADJ
ajst-22376	42	3	features	feature	NOUN
ajst-22376	42	4	of	of	ADP
ajst-22376	42	5	improve	improve	VERB
ajst-22376	42	6	multi	multi	ADJ
ajst-22376	42	7	-	-	ADJ
ajst-22376	42	8	objective	objective	ADJ
ajst-22376	42	9	dragonfly	dragonfly	NOUN
ajst-22376	42	10	algorithm	algorithm	NOUN
ajst-22376	42	11	(	(	PUNCT
ajst-22376	42	12	imoda)2	imoda)2	NOUN
ajst-22376	42	13	are	be	AUX
ajst-22376	42	14	as	as	SCONJ
ajst-22376	42	15	follows	follow	VERB
ajst-22376	42	16	:	:	PUNCT
ajst-22376	42	17	to	to	PART
ajst-22376	42	18	alleviate	alleviate	VERB
ajst-22376	42	19	the	the	DET
ajst-22376	42	20	local	local	ADJ
ajst-22376	42	21	optimum	optimum	NOUN
ajst-22376	42	22	,	,	PUNCT
ajst-22376	42	23	elite	elite	ADJ
ajst-22376	42	24	individuals	individual	NOUN
ajst-22376	42	25	are	be	AUX
ajst-22376	42	26	added	add	VERB
ajst-22376	42	27	to	to	ADP
ajst-22376	42	28	moda	moda	PROPN
ajst-22376	42	29	and	and	CCONJ
ajst-22376	42	30	opposition	opposition	NOUN
ajst-22376	42	31	-	-	PUNCT
ajst-22376	42	32	based	base	VERB
ajst-22376	42	33	jumping	jumping	NOUN
ajst-22376	42	34	.	.	PUNCT
ajst-22376	43	1	3.1.1	3.1.1	X
ajst-22376	43	2	.	.	PUNCT
ajst-22376	43	3	initialization	initialization	NOUN
ajst-22376	43	4	of	of	ADP
ajst-22376	43	5	dragonfly	dragonfly	NOUN
ajst-22376	43	6	populations	population	NOUN
ajst-22376	43	7	dragonfly	dragonfly	NOUN
ajst-22376	43	8	populations	population	NOUN
ajst-22376	43	9	are	be	AUX
ajst-22376	43	10	usually	usually	ADV
ajst-22376	43	11	initialized	initialize	VERB
ajst-22376	43	12	randomly	randomly	ADV
ajst-22376	43	13	.	.	PUNCT
ajst-22376	44	1	in	in	ADP
ajst-22376	44	2	order	order	NOUN
ajst-22376	44	3	to	to	PART
ajst-22376	44	4	improve	improve	VERB
ajst-22376	44	5	the	the	DET
ajst-22376	44	6	diversity	diversity	NOUN
ajst-22376	44	7	of	of	ADP
ajst-22376	44	8	the	the	DET
ajst-22376	44	9	initial	initial	ADJ
ajst-22376	44	10	population	population	NOUN
ajst-22376	44	11	and	and	CCONJ
ajst-22376	44	12	avoid	avoid	VERB
ajst-22376	44	13	the	the	DET
ajst-22376	44	14	algorithm	algorithm	NOUN
ajst-22376	44	15	from	from	ADP
ajst-22376	44	16	producing	produce	VERB
ajst-22376	44	17	premature	premature	ADJ
ajst-22376	44	18	convergence	convergence	NOUN
ajst-22376	44	19	,	,	PUNCT
ajst-22376	44	20	unlike	unlike	ADP
ajst-22376	44	21	the	the	DET
ajst-22376	44	22	original	original	ADJ
ajst-22376	44	23	moda	moda	NOUN
ajst-22376	44	24	algorithm	algorithm	NOUN
ajst-22376	44	25	with	with	ADP
ajst-22376	44	26	the	the	DET
ajst-22376	44	27	random	random	ADJ
ajst-22376	44	28	initialization	initialization	NOUN
ajst-22376	44	29	,	,	PUNCT
ajst-22376	44	30	the	the	DET
ajst-22376	44	31	population	population	NOUN
ajst-22376	44	32	initialization	initialization	NOUN
ajst-22376	44	33	in	in	ADP
ajst-22376	44	34	this	this	DET
ajst-22376	44	35	paper	paper	NOUN
ajst-22376	44	36	utilizes	utilize	VERB
ajst-22376	44	37	logistic	logistic	ADJ
ajst-22376	44	38	mapping	mapping	NOUN
ajst-22376	44	39	instead	instead	ADV
ajst-22376	44	40	of	of	ADP
ajst-22376	44	41	the	the	DET
ajst-22376	44	42	traditional	traditional	ADJ
ajst-22376	44	43	random	random	ADJ
ajst-22376	44	44	initialization	initialization	NOUN
ajst-22376	44	45	,	,	PUNCT
ajst-22376	44	46	and	and	CCONJ
ajst-22376	44	47	the	the	DET
ajst-22376	44	48	calculation	calculation	NOUN
ajst-22376	44	49	formula	formula	NOUN
ajst-22376	44	50	is	be	AUX
ajst-22376	44	51	as	as	SCONJ
ajst-22376	44	52	follows	follow	VERB
ajst-22376	44	53	:	:	PUNCT
ajst-22376	44	54			NOUN
ajst-22376	44	55	i+1	i+1	PUNCT
ajst-22376	45	1	i	i	PRON
ajst-22376	45	2	i	i	PRON
ajst-22376	45	3	0x	0x	VERB
ajst-22376	46	1	=	=	NOUN
ajst-22376	46	2	ηx	ηx	PROPN
ajst-22376	46	3	1	1	NUM
ajst-22376	46	4	-	-	NOUN
ajst-22376	46	5	x	x	SYM
ajst-22376	46	6	0	0	NUM
ajst-22376	46	7	x	x	SYM
ajst-22376	46	8	1	1	NUM
ajst-22376	46	9			NOUN
ajst-22376	46	10	，	，	PUNCT
ajst-22376	46	11	(	(	PUNCT
ajst-22376	46	12	1	1	X
ajst-22376	46	13	)	)	PUNCT
ajst-22376	46	14	where	where	SCONJ
ajst-22376	46	15	xi	xi	PROPN
ajst-22376	46	16	is	be	AUX
ajst-22376	46	17	the	the	DET
ajst-22376	46	18	logistic	logistic	ADJ
ajst-22376	46	19	value	value	NOUN
ajst-22376	46	20	of	of	ADP
ajst-22376	46	21	the	the	DET
ajst-22376	46	22	ith	ith	PROPN
ajst-22376	46	23	dragonfly	dragonfly	NOUN
ajst-22376	46	24	;	;	PUNCT
ajst-22376	46	25	x0	x0	PROPN
ajst-22376	46	26	is	be	AUX
ajst-22376	46	27	the	the	DET
ajst-22376	46	28	initial	initial	ADJ
ajst-22376	46	29	value	value	NOUN
ajst-22376	46	30	of	of	ADP
ajst-22376	46	31	the	the	DET
ajst-22376	46	32	dragonfly	dragonfly	NOUN
ajst-22376	46	33	population	population	NOUN
ajst-22376	46	34	;	;	PUNCT
ajst-22376	47	1	=	=	SYM
ajst-22376	47	2	4,	4,	PROPN
ajst-22376	47	3			NOUN
ajst-22376	47	4	0	0	NOUN
ajst-22376	47	5	0	0	NUM
ajst-22376	47	6	1x	1x	NUM
ajst-22376	47	7	,	,	PUNCT
ajst-22376	47	8	,	,	PUNCT
ajst-22376	47	9			PROPN
ajst-22376	47	10	0	0	PROPN
ajst-22376	47	11	0	0	NUM
ajst-22376	47	12	0	0	NUM
ajst-22376	47	13	0	0	NUM
ajst-22376	47	14	25	25	NUM
ajst-22376	47	15	0	0	NUM
ajst-22376	47	16	75	75	NUM
ajst-22376	47	17	1	1	NUM
ajst-22376	47	18	0x	0x	NOUN
ajst-22376	47	19	.	.	PUNCT
ajst-22376	48	1	,	,	PUNCT
ajst-22376	48	2	.	.	PUNCT
ajst-22376	49	1	,	,	PUNCT
ajst-22376	49	2	.	.	PUNCT
ajst-22376	50	1	.	.	INTJ
ajst-22376	50	2	，	，	PROPN
ajst-22376	50	3	.	.	PUNCT
ajst-22376	51	1	3.1.2	3.1.2	X
ajst-22376	51	2	.	.	PUNCT
ajst-22376	51	3	population	population	NOUN
ajst-22376	51	4	diversity	diversity	NOUN
ajst-22376	51	5	based	base	VERB
ajst-22376	51	6	on	on	ADP
ajst-22376	51	7	oppositional	oppositional	ADJ
ajst-22376	51	8	jumps	jump	VERB
ajst-22376	51	9	the	the	DET
ajst-22376	51	10	performance	performance	NOUN
ajst-22376	51	11	of	of	ADP
ajst-22376	51	12	evolutionary	evolutionary	ADJ
ajst-22376	51	13	algorithms	algorithm	NOUN
ajst-22376	51	14	can	can	AUX
ajst-22376	51	15	be	be	AUX
ajst-22376	51	16	effectively	effectively	ADV
ajst-22376	51	17	improved	improve	VERB
ajst-22376	51	18	based	base	VERB
ajst-22376	51	19	on	on	ADP
ajst-22376	51	20	oppositional	oppositional	ADJ
ajst-22376	51	21	jumps	jump	NOUN
ajst-22376	51	22	.	.	PUNCT
ajst-22376	52	1	in	in	ADP
ajst-22376	52	2	this	this	DET
ajst-22376	52	3	paper	paper	NOUN
ajst-22376	52	4	,	,	PUNCT
ajst-22376	52	5	the	the	DET
ajst-22376	52	6	moda	moda	PROPN
ajst-22376	52	7	algorithm	algorithm	PROPN
ajst-22376	52	8	is	be	AUX
ajst-22376	52	9	optimized	optimize	VERB
ajst-22376	52	10	based	base	VERB
ajst-22376	52	11	on	on	ADP
ajst-22376	52	12	opposite	opposite	ADJ
ajst-22376	52	13	jumps	jump	NOUN
ajst-22376	52	14	to	to	PART
ajst-22376	52	15	prevent	prevent	VERB
ajst-22376	52	16	falling	fall	VERB
ajst-22376	52	17	into	into	ADP
ajst-22376	52	18	the	the	DET
ajst-22376	52	19	local	local	ADJ
ajst-22376	52	20	optimum	optimum	NOUN
ajst-22376	52	21	.	.	PUNCT
ajst-22376	53	1	the	the	DET
ajst-22376	53	2	formula	formula	NOUN
ajst-22376	53	3	based	base	VERB
ajst-22376	53	4	on	on	ADP
ajst-22376	53	5	opposing	oppose	VERB
ajst-22376	53	6	jumps	jump	NOUN
ajst-22376	53	7	is	be	AUX
ajst-22376	53	8	:	:	PUNCT
ajst-22376	53	9			NOUN
ajst-22376	53	10			SYM
ajst-22376	53	11			NOUN
ajst-22376	53	12			SYM
ajst-22376	53	13			NOUN
ajst-22376	53	14	i	i	PROPN
ajst-22376	54	1	i	i	PRON
ajst-22376	54	2	i	i	PRON
ajst-22376	54	3	it	it	PRON
ajst-22376	55	1	=	=	PUNCT
ajst-22376	56	1	lb	lb	X
ajst-22376	56	2	+	+	PROPN
ajst-22376	56	3	ub	ub	ADJ
ajst-22376	56	4	tx	tx	NOUN
ajst-22376	56	5	x	x	PROPN
ajst-22376	56	6	(	(	PUNCT
ajst-22376	56	7	2	2	NUM
ajst-22376	56	8	)	)	PUNCT
ajst-22376	56	9	where	where	SCONJ
ajst-22376	56	10	,	,	PUNCT
ajst-22376	56	11	ilb	ilb	PROPN
ajst-22376	56	12	represents	represent	VERB
ajst-22376	56	13	the	the	DET
ajst-22376	56	14	upper	upper	ADJ
ajst-22376	56	15	bound	bound	NOUN
ajst-22376	56	16	of	of	ADP
ajst-22376	56	17	the	the	DET
ajst-22376	56	18	search	search	NOUN
ajst-22376	56	19	space	space	NOUN
ajst-22376	56	20	,	,	PUNCT
ajst-22376	56	21	and	and	CCONJ
ajst-22376	56	22	iub	iub	NOUN
ajst-22376	56	23	represents	represent	VERB
ajst-22376	56	24	the	the	DET
ajst-22376	56	25	lower	low	ADJ
ajst-22376	56	26	bound	bind	VERB
ajst-22376	56	27	of	of	ADP
ajst-22376	56	28	the	the	DET
ajst-22376	56	29	search	search	NOUN
ajst-22376	56	30	space	space	NOUN
ajst-22376	56	31	.	.	PUNCT
ajst-22376	57	1	4	4	X
ajst-22376	57	2	.	.	X
ajst-22376	57	3	simulation	simulation	NOUN
ajst-22376	57	4	experiments	experiment	NOUN
ajst-22376	57	5	and	and	CCONJ
ajst-22376	57	6	research	research	NOUN
ajst-22376	57	7	analysis	analysis	NOUN
ajst-22376	57	8	the	the	DET
ajst-22376	57	9	imoda	imoda	NOUN
ajst-22376	57	10	-	-	PUNCT
ajst-22376	57	11	dbn	dbn	NOUN
ajst-22376	57	12	fault	fault	NOUN
ajst-22376	57	13	diagnosis	diagnosis	NOUN
ajst-22376	57	14	model	model	NOUN
ajst-22376	57	15	proposed	propose	VERB
ajst-22376	57	16	in	in	ADP
ajst-22376	57	17	this	this	DET
ajst-22376	57	18	paper	paper	NOUN
ajst-22376	57	19	is	be	AUX
ajst-22376	57	20	characterized	characterize	VERB
ajst-22376	57	21	by	by	ADP
ajst-22376	57	22	the	the	DET
ajst-22376	57	23	following	follow	VERB
ajst-22376	57	24	five	five	NUM
ajst-22376	57	25	processes	process	NOUN
ajst-22376	57	26	:	:	PUNCT
ajst-22376	57	27	(	(	PUNCT
ajst-22376	57	28	1	1	X
ajst-22376	57	29	)	)	PUNCT
ajst-22376	57	30	apply	apply	VERB
ajst-22376	57	31	pulse	pulse	NOUN
ajst-22376	57	32	signals	signal	NOUN
ajst-22376	57	33	to	to	ADP
ajst-22376	57	34	both	both	DET
ajst-22376	57	35	ends	end	NOUN
ajst-22376	57	36	of	of	ADP
ajst-22376	57	37	the	the	DET
ajst-22376	57	38	circuit	circuit	NOUN
ajst-22376	57	39	under	under	ADP
ajst-22376	57	40	test	test	NOUN
ajst-22376	57	41	to	to	PART
ajst-22376	57	42	collect	collect	VERB
ajst-22376	57	43	fault	fault	NOUN
ajst-22376	57	44	data	datum	NOUN
ajst-22376	57	45	;	;	PUNCT
ajst-22376	57	46	(	(	PUNCT
ajst-22376	57	47	2	2	X
ajst-22376	57	48	)	)	PUNCT
ajst-22376	57	49	fault	fault	NOUN
ajst-22376	57	50	coding	code	VERB
ajst-22376	57	51	is	be	AUX
ajst-22376	57	52	performed	perform	VERB
ajst-22376	57	53	on	on	ADP
ajst-22376	57	54	the	the	DET
ajst-22376	57	55	data	datum	NOUN
ajst-22376	57	56	;	;	PUNCT
ajst-22376	57	57	(	(	PUNCT
ajst-22376	57	58	3	3	X
ajst-22376	57	59	)	)	PUNCT
ajst-22376	57	60	divide	divide	VERB
ajst-22376	57	61	the	the	DET
ajst-22376	57	62	data	datum	NOUN
ajst-22376	57	63	set	set	VERB
ajst-22376	57	64	into	into	ADP
ajst-22376	57	65	a	a	DET
ajst-22376	57	66	training	training	NOUN
ajst-22376	57	67	set	set	NOUN
ajst-22376	57	68	and	and	CCONJ
ajst-22376	57	69	a	a	DET
ajst-22376	57	70	test	test	NOUN
ajst-22376	57	71	set	set	NOUN
ajst-22376	57	72	;	;	PUNCT
ajst-22376	57	73	(	(	PUNCT
ajst-22376	57	74	4	4	X
ajst-22376	57	75	)	)	PUNCT
ajst-22376	57	76	retaining	retain	VERB
ajst-22376	57	77	the	the	DET
ajst-22376	57	78	weights	weight	NOUN
ajst-22376	57	79	during	during	ADP
ajst-22376	57	80	unsupervised	unsupervised	ADJ
ajst-22376	57	81	learning	learning	NOUN
ajst-22376	57	82	and	and	CCONJ
ajst-22376	57	83	accelerating	accelerate	VERB
ajst-22376	57	84	the	the	DET
ajst-22376	57	85	training	training	NOUN
ajst-22376	57	86	process	process	NOUN
ajst-22376	57	87	using	use	VERB
ajst-22376	57	88	the	the	DET
ajst-22376	57	89	adaptive	adaptive	ADJ
ajst-22376	57	90	learning	learning	NOUN
ajst-22376	57	91	rate	rate	NOUN
ajst-22376	57	92	;	;	PUNCT
ajst-22376	57	93	fine	fine	ADV
ajst-22376	57	94	-	-	PUNCT
ajst-22376	57	95	tuning	tune	VERB
ajst-22376	57	96	the	the	DET
ajst-22376	57	97	weights	weight	NOUN
ajst-22376	57	98	using	use	VERB
ajst-22376	57	99	the	the	DET
ajst-22376	57	100	imoda	imoda	NOUN
ajst-22376	57	101	optimization	optimization	NOUN
ajst-22376	57	102	algorithm	algorithm	NOUN
ajst-22376	57	103	during	during	ADP
ajst-22376	57	104	supervised	supervised	ADJ
ajst-22376	57	105	learning	learning	NOUN
ajst-22376	57	106	;	;	PUNCT
ajst-22376	57	107	(	(	PUNCT
ajst-22376	57	108	5	5	X
ajst-22376	57	109	)	)	PUNCT
ajst-22376	57	110	model	model	NOUN
ajst-22376	57	111	testing	testing	NOUN
ajst-22376	57	112	:	:	PUNCT
ajst-22376	57	113	the	the	DET
ajst-22376	57	114	real	real	ADJ
ajst-22376	57	115	coding	coding	NOUN
ajst-22376	57	116	of	of	ADP
ajst-22376	57	117	the	the	DET
ajst-22376	57	118	test	test	NOUN
ajst-22376	57	119	set	set	NOUN
ajst-22376	57	120	is	be	AUX
ajst-22376	57	121	compared	compare	VERB
ajst-22376	57	122	with	with	ADP
ajst-22376	57	123	the	the	DET
ajst-22376	57	124	predicted	predict	VERB
ajst-22376	57	125	coding	coding	NOUN
ajst-22376	57	126	of	of	ADP
ajst-22376	57	127	the	the	DET
ajst-22376	57	128	model	model	NOUN
ajst-22376	57	129	;	;	PUNCT
ajst-22376	57	130	if	if	SCONJ
ajst-22376	57	131	the	the	DET
ajst-22376	57	132	predicted	predict	VERB
ajst-22376	57	133	coding	coding	NOUN
ajst-22376	57	134	is	be	AUX
ajst-22376	57	135	consistent	consistent	ADJ
ajst-22376	57	136	with	with	ADP
ajst-22376	57	137	the	the	DET
ajst-22376	57	138	real	real	ADJ
ajst-22376	57	139	coding	coding	NOUN
ajst-22376	57	140	,	,	PUNCT
ajst-22376	57	141	the	the	DET
ajst-22376	57	142	classification	classification	NOUN
ajst-22376	57	143	is	be	AUX
ajst-22376	57	144	correct	correct	ADJ
ajst-22376	57	145	;	;	PUNCT
ajst-22376	57	146	if	if	SCONJ
ajst-22376	57	147	the	the	DET
ajst-22376	57	148	predicted	predict	VERB
ajst-22376	57	149	coding	coding	NOUN
ajst-22376	57	150	is	be	AUX
ajst-22376	57	151	inconsistent	inconsistent	ADJ
ajst-22376	57	152	with	with	ADP
ajst-22376	57	153	the	the	DET
ajst-22376	57	154	real	real	ADJ
ajst-22376	57	155	coding	coding	NOUN
ajst-22376	57	156	,	,	PUNCT
ajst-22376	57	157	the	the	DET
ajst-22376	57	158	classification	classification	NOUN
ajst-22376	57	159	is	be	AUX
ajst-22376	57	160	incorrect	incorrect	ADJ
ajst-22376	57	161	.	.	PUNCT
ajst-22376	58	1	4.1	4.1	NUM
ajst-22376	58	2	.	.	PUNCT
ajst-22376	58	3	supervised	supervise	VERB
ajst-22376	58	4	fine	fine	ADV
ajst-22376	58	5	-	-	PUNCT
ajst-22376	58	6	tuning	tuning	NOUN
ajst-22376	58	7	based	base	VERB
ajst-22376	58	8	on	on	ADP
ajst-22376	58	9	improved	improved	ADJ
ajst-22376	58	10	multi	multi	ADJ
ajst-22376	58	11	-	-	ADJ
ajst-22376	58	12	objective	objective	ADJ
ajst-22376	58	13	dragonfly	dragonfly	NOUN
ajst-22376	58	14	optimization	optimization	NOUN
ajst-22376	58	15	fig	fig	NOUN
ajst-22376	58	16	2	2	NUM
ajst-22376	58	17	.	.	X
ajst-22376	58	18	two	two	NUM
ajst-22376	58	19	-	-	PUNCT
ajst-22376	58	20	stage	stage	NOUN
ajst-22376	58	21	quad	quad	ADJ
ajst-22376	58	22	op	op	NOUN
ajst-22376	58	23	-	-	PUNCT
ajst-22376	58	24	amp	amp	NOUN
ajst-22376	58	25	dual	dual	ADJ
ajst-22376	58	26	second	second	ADJ
ajst-22376	58	27	-	-	PUNCT
ajst-22376	58	28	order	order	NOUN
ajst-22376	58	29	low	low	ADJ
ajst-22376	58	30	-	-	PUNCT
ajst-22376	58	31	pass	pass	NOUN
ajst-22376	58	32	filters	filter	NOUN
ajst-22376	58	33	r	r	NOUN
ajst-22376	58	34	17	17	NUM
ajst-22376	58	35	5	5	NUM
ajst-22376	58	36	0	0	NUM
ajst-22376	58	37	k	k	PROPN
ajst-22376	58	38	ω	ω	PROPN
ajst-22376	58	39	r10	r10	PROPN
ajst-22376	58	40	500ω	500ω	NUM
ajst-22376	58	41	r8	r8	NOUN
ajst-22376	58	42	440ω	440ω	NOUN
ajst-22376	58	43	+	+	CCONJ
ajst-22376	58	44	−	−	PROPN
ajst-22376	58	45	−	−	PROPN
ajst-22376	59	1	+	+	CCONJ
ajst-22376	59	2	−	−	PROPN
ajst-22376	60	1	+	+	CCONJ
ajst-22376	60	2	−	−	PROPN
ajst-22376	61	1	+	+	CCONJ
ajst-22376	61	2	−	−	PROPN
ajst-22376	61	3	−	−	PROPN
ajst-22376	62	1	+	+	CCONJ
ajst-22376	62	2	−	−	PROPN
ajst-22376	63	1	+	+	CCONJ
ajst-22376	63	2	+	+	CCONJ
ajst-22376	63	3	−	−	NOUN
ajst-22376	63	4	输入	输入	VERB
ajst-22376	63	5	输出	输出	PROPN
ajst-22376	63	6	gnd	gnd	PROPN
ajst-22376	63	7	gnd	gnd	PROPN
ajst-22376	63	8	gnd	gnd	PROPN
ajst-22376	63	9	gnd	gnd	PROPN
ajst-22376	63	10	gnd	gnd	PROPN
ajst-22376	63	11	r3	r3	PROPN
ajst-22376	63	12	2.2kω	2.2kω	PROPN
ajst-22376	63	13	r4	r4	PROPN
ajst-22376	63	14	1570kω	1570kω	ADJ
ajst-22376	63	15	c1	c1	NOUN
ajst-22376	63	16	0.01μf	0.01μf	NOUN
ajst-22376	63	17	r181ω	r181ω	PROPN
ajst-22376	63	18	r2	r2	PROPN
ajst-22376	64	1	11.1kω	11.1kω	NUM
ajst-22376	64	2	r	r	NOUN
ajst-22376	64	3	5	5	NUM
ajst-22376	64	4	1	1	NUM
ajst-22376	64	5	0	0	NUM
ajst-22376	64	6	0	0	NUM
ajst-22376	64	7	k	k	PROPN
ajst-22376	64	8	ω	ω	NUM
ajst-22376	64	9	r6	r6	PROPN
ajst-22376	64	10	10kω	10kω	PROPN
ajst-22376	64	11	r7	r7	PROPN
ajst-22376	64	12	10kω	10kω	PROPN
ajst-22376	64	13	r9	r9	NOUN
ajst-22376	64	14	2640ω	2640ω	NOUN
ajst-22376	64	15	c2	c2	PROPN
ajst-22376	64	16	0.01μf	0.01μf	PART
ajst-22376	64	17	r11	r11	NOUN
ajst-22376	64	18	1kω	1kω	ADJ
ajst-22376	64	19	r	r	NOUN
ajst-22376	64	20	12	12	NUM
ajst-22376	64	21	1	1	NUM
ajst-22376	64	22	k	k	PROPN
ajst-22376	64	23	ω	ω	PROPN
ajst-22376	64	24	r13	r13	PROPN
ajst-22376	64	25	100ω	100ω	NUM
ajst-22376	64	26	r14	r14	PROPN
ajst-22376	64	27	111.1kω	111.1kω	PROPN
ajst-22376	64	28	r15	r15	NOUN
ajst-22376	64	29	1.8kω	1.8kω	NUM
ajst-22376	64	30	r16	r16	PROPN
ajst-22376	64	31	4840ω	4840ω	NUM
ajst-22376	64	32	c3	c3	PROPN
ajst-22376	64	33	0.01μf	0.01μf	PROPN
ajst-22376	64	34	r18	r18	PROPN
ajst-22376	64	35	10kω	10kω	PROPN
ajst-22376	64	36	r19	r19	PROPN
ajst-22376	64	37	10kω	10kω	ADJ
ajst-22376	64	38	r21	r21	NOUN
ajst-22376	64	39	2320ω	2320ω	NOUN
ajst-22376	64	40	c4	c4	NOUN
ajst-22376	64	41	0.01μf	0.01μf	NOUN
ajst-22376	64	42	r22	r22	NOUN
ajst-22376	64	43	500ω	500ω	NUM
ajst-22376	64	44	r23	r23	NOUN
ajst-22376	64	45	10kω	10kω	NOUN
ajst-22376	65	1	+	+	CCONJ
ajst-22376	65	2	gnd	gnd	PROPN
ajst-22376	65	3	r20	r20	NOUN
ajst-22376	65	4	520ω	520ω	PROPN
ajst-22376	65	5	gnd	gnd	PROPN
ajst-22376	65	6	225	225	NUM
ajst-22376	65	7	table	table	NOUN
ajst-22376	65	8	1	1	NUM
ajst-22376	65	9	.	.	PUNCT
ajst-22376	65	10	failure	failure	NOUN
ajst-22376	65	11	modes	mode	NOUN
ajst-22376	65	12	of	of	ADP
ajst-22376	65	13	a	a	DET
ajst-22376	65	14	two	two	NUM
ajst-22376	65	15	-	-	PUNCT
ajst-22376	65	16	stage	stage	NOUN
ajst-22376	65	17	quad	quad	ADJ
ajst-22376	65	18	op	op	NOUN
ajst-22376	65	19	-	-	PUNCT
ajst-22376	65	20	amp	amp	NOUN
ajst-22376	65	21	dual	dual	ADJ
ajst-22376	65	22	second	second	ADJ
ajst-22376	65	23	-	-	PUNCT
ajst-22376	65	24	order	order	NOUN
ajst-22376	65	25	low	low	ADJ
ajst-22376	65	26	-	-	PUNCT
ajst-22376	65	27	pass	pass	NOUN
ajst-22376	65	28	filter	filter	NOUN
ajst-22376	65	29	circuit	circuit	NOUN
ajst-22376	65	30	code	code	NOUN
ajst-22376	65	31	type	type	NOUN
ajst-22376	65	32	tolerance/	tolerance/	NUM
ajst-22376	65	33	(	(	PUNCT
ajst-22376	65	34	%	%	INTJ
ajst-22376	65	35	)	)	PUNCT
ajst-22376	65	36	standard	standard	ADJ
ajst-22376	65	37	value	value	NOUN
ajst-22376	65	38	fault	fault	NOUN
ajst-22376	65	39	value	value	NOUN
ajst-22376	65	40	f1	f1	NOUN
ajst-22376	65	41	norm	norm	NOUN
ajst-22376	65	42	f2	f2	PROPN
ajst-22376	65	43	r9↑	r9↑	ADP
ajst-22376	65	44	5	5	NUM
ajst-22376	65	45	2640ω	2640ω	NOUN
ajst-22376	65	46	3960ω	3960ω	NUM
ajst-22376	65	47	f3	f3	PROPN
ajst-22376	65	48	r9↓	r9↓	ADJ
ajst-22376	65	49	5	5	NUM
ajst-22376	65	50	2640ω	2640ω	NOUN
ajst-22376	65	51	1320ω	1320ω	PROPN
ajst-22376	65	52	f4	f4	PROPN
ajst-22376	65	53	c1↑	c1↑	NOUN
ajst-22376	65	54	5	5	NUM
ajst-22376	65	55	0.01nf	0.01nf	NOUN
ajst-22376	65	56	0.005nf	0.005nf	PROPN
ajst-22376	65	57	f5	f5	NOUN
ajst-22376	65	58	c1↓	c1↓	NOUN
ajst-22376	65	59	5	5	NUM
ajst-22376	65	60	0.01nf	0.01nf	NOUN
ajst-22376	65	61	0.015nf	0.015nf	NOUN
ajst-22376	65	62	in	in	ADP
ajst-22376	65	63	this	this	DET
ajst-22376	65	64	paper	paper	NOUN
ajst-22376	65	65	,	,	PUNCT
ajst-22376	65	66	a	a	DET
ajst-22376	65	67	two	two	NUM
ajst-22376	65	68	-	-	PUNCT
ajst-22376	65	69	stage	stage	NOUN
ajst-22376	65	70	quad	quad	ADJ
ajst-22376	65	71	-	-	PUNCT
ajst-22376	65	72	op	op	NOUN
ajst-22376	65	73	-	-	PUNCT
ajst-22376	65	74	amp	amp	NOUN
ajst-22376	65	75	dual	dual	ADJ
ajst-22376	65	76	second	second	ADJ
ajst-22376	65	77	-	-	PUNCT
ajst-22376	65	78	order	order	NOUN
ajst-22376	65	79	low	low	ADJ
ajst-22376	65	80	-	-	PUNCT
ajst-22376	65	81	pass	pass	NOUN
ajst-22376	65	82	filter	filter	NOUN
ajst-22376	65	83	(	(	PUNCT
ajst-22376	65	84	fig	fig	NOUN
ajst-22376	65	85	.	.	NOUN
ajst-22376	65	86	2	2	X
ajst-22376	65	87	)	)	PUNCT
ajst-22376	65	88	excited	excite	VERB
ajst-22376	65	89	by	by	ADP
ajst-22376	65	90	a	a	DET
ajst-22376	65	91	sinusoidal	sinusoidal	ADJ
ajst-22376	65	92	signal	signal	NOUN
ajst-22376	65	93	with	with	ADP
ajst-22376	65	94	an	an	DET
ajst-22376	65	95	amplitude	amplitude	NOUN
ajst-22376	65	96	of	of	ADP
ajst-22376	65	97	5	5	NUM
ajst-22376	65	98	v	v	NOUN
ajst-22376	65	99	and	and	CCONJ
ajst-22376	65	100	a	a	DET
ajst-22376	65	101	frequency	frequency	NOUN
ajst-22376	65	102	of	of	ADP
ajst-22376	65	103	10	10	NUM
ajst-22376	65	104	khz	khz	NOUN
ajst-22376	65	105	is	be	AUX
ajst-22376	65	106	used	use	VERB
ajst-22376	65	107	as	as	ADP
ajst-22376	65	108	the	the	DET
ajst-22376	65	109	input	input	NOUN
ajst-22376	65	110	.	.	PUNCT
ajst-22376	66	1	to	to	PART
ajst-22376	66	2	validate	validate	VERB
ajst-22376	66	3	the	the	DET
ajst-22376	66	4	imoda	imoda	NOUN
ajst-22376	66	5	-	-	PUNCT
ajst-22376	66	6	dbn	dbn	PROPN
ajst-22376	66	7	model	model	NOUN
ajst-22376	66	8	proposed	propose	VERB
ajst-22376	66	9	in	in	ADP
ajst-22376	66	10	this	this	DET
ajst-22376	66	11	paper	paper	NOUN
ajst-22376	66	12	,	,	PUNCT
ajst-22376	66	13	the	the	DET
ajst-22376	66	14	tolerances	tolerance	NOUN
ajst-22376	66	15	of	of	ADP
ajst-22376	66	16	the	the	DET
ajst-22376	66	17	resistors	resistor	NOUN
ajst-22376	66	18	and	and	CCONJ
ajst-22376	66	19	capacitors	capacitor	NOUN
ajst-22376	66	20	in	in	ADP
ajst-22376	66	21	the	the	DET
ajst-22376	66	22	circuit	circuit	NOUN
ajst-22376	66	23	are	be	AUX
ajst-22376	66	24	both	both	PRON
ajst-22376	66	25	set	set	VERB
ajst-22376	66	26	to	to	ADP
ajst-22376	66	27	5	5	NUM
ajst-22376	66	28	%	%	NOUN
ajst-22376	66	29	,	,	PUNCT
ajst-22376	66	30	respectively	respectively	ADV
ajst-22376	66	31	.	.	PUNCT
ajst-22376	67	1	according	accord	VERB
ajst-22376	67	2	to	to	ADP
ajst-22376	67	3	the	the	DET
ajst-22376	67	4	sensitivity	sensitivity	NOUN
ajst-22376	67	5	test	test	NOUN
ajst-22376	67	6	results	result	NOUN
ajst-22376	67	7	,	,	PUNCT
ajst-22376	67	8	the	the	DET
ajst-22376	67	9	four	four	NUM
ajst-22376	67	10	components	component	NOUN
ajst-22376	67	11	of	of	ADP
ajst-22376	67	12	resistors	resistor	NOUN
ajst-22376	67	13	r9	r9	NOUN
ajst-22376	67	14	and	and	CCONJ
ajst-22376	67	15	capacitors	capacitor	NOUN
ajst-22376	67	16	c1	c1	PROPN
ajst-22376	67	17	are	be	AUX
ajst-22376	67	18	selected	select	VERB
ajst-22376	67	19	as	as	ADP
ajst-22376	67	20	research	research	NOUN
ajst-22376	67	21	objects	object	NOUN
ajst-22376	67	22	for	for	ADP
ajst-22376	67	23	experimental	experimental	ADJ
ajst-22376	67	24	analysis	analysis	NOUN
ajst-22376	67	25	,	,	PUNCT
ajst-22376	67	26	as	as	SCONJ
ajst-22376	67	27	shown	show	VERB
ajst-22376	67	28	in	in	ADP
ajst-22376	67	29	table	table	NOUN
ajst-22376	67	30	1	1	NUM
ajst-22376	67	31	.	.	X
ajst-22376	67	32	4.2	4.2	NUM
ajst-22376	67	33	.	.	PUNCT
ajst-22376	68	1	comparison	comparison	NOUN
ajst-22376	68	2	experiment	experiment	NOUN
ajst-22376	68	3	4.2.1	4.2.1	NUM
ajst-22376	68	4	.	.	PUNCT
ajst-22376	69	1	performance	performance	NOUN
ajst-22376	69	2	validation	validation	NOUN
ajst-22376	69	3	of	of	ADP
ajst-22376	69	4	imoda	imoda	NOUN
ajst-22376	69	5	optimization	optimization	NOUN
ajst-22376	69	6	algorithm	algorithm	NOUN
ajst-22376	69	7	to	to	PART
ajst-22376	69	8	increase	increase	VERB
ajst-22376	69	9	the	the	DET
ajst-22376	69	10	diversity	diversity	NOUN
ajst-22376	69	11	of	of	ADP
ajst-22376	69	12	the	the	DET
ajst-22376	69	13	moda	moda	NOUN
ajst-22376	69	14	optimization	optimization	NOUN
ajst-22376	69	15	process	process	NOUN
ajst-22376	69	16	and	and	CCONJ
ajst-22376	69	17	improve	improve	VERB
ajst-22376	69	18	the	the	DET
ajst-22376	69	19	situation	situation	NOUN
ajst-22376	69	20	of	of	ADP
ajst-22376	69	21	falling	fall	VERB
ajst-22376	69	22	into	into	ADP
ajst-22376	69	23	local	local	ADJ
ajst-22376	69	24	optimum	optimum	NOUN
ajst-22376	69	25	,	,	PUNCT
ajst-22376	69	26	we	we	PRON
ajst-22376	69	27	add	add	VERB
ajst-22376	69	28	logistic	logistic	ADJ
ajst-22376	69	29	mapping	mapping	NOUN
ajst-22376	69	30	and	and	CCONJ
ajst-22376	69	31	oppositional	oppositional	ADJ
ajst-22376	69	32	jumps	jump	NOUN
ajst-22376	69	33	to	to	ADP
ajst-22376	69	34	the	the	DET
ajst-22376	69	35	traditional	traditional	ADJ
ajst-22376	69	36	moda	moda	NOUN
ajst-22376	69	37	optimization	optimization	NOUN
ajst-22376	69	38	algorithm	algorithm	NOUN
ajst-22376	69	39	.	.	PUNCT
ajst-22376	70	1	the	the	DET
ajst-22376	70	2	two	two	NUM
ajst-22376	70	3	can	can	AUX
ajst-22376	70	4	improve	improve	VERB
ajst-22376	70	5	the	the	DET
ajst-22376	70	6	diversity	diversity	NOUN
ajst-22376	70	7	of	of	ADP
ajst-22376	70	8	the	the	DET
ajst-22376	70	9	initial	initial	ADJ
ajst-22376	70	10	population	population	NOUN
ajst-22376	70	11	and	and	CCONJ
ajst-22376	70	12	reduce	reduce	VERB
ajst-22376	70	13	the	the	DET
ajst-22376	70	14	probability	probability	NOUN
ajst-22376	70	15	of	of	ADP
ajst-22376	70	16	“	"	PUNCT
ajst-22376	70	17	early	early	ADJ
ajst-22376	70	18	maturity	maturity	NOUN
ajst-22376	70	19	”	"	PUNCT
ajst-22376	70	20	;	;	PUNCT
ajst-22376	70	21	three	three	NUM
ajst-22376	70	22	test	test	NOUN
ajst-22376	70	23	functions	function	NOUN
ajst-22376	70	24	,	,	PUNCT
ajst-22376	70	25	ztd	ztd	NOUN
ajst-22376	70	26	function	function	NOUN
ajst-22376	70	27	,	,	PUNCT
ajst-22376	70	28	schaffer	schaffer	PROPN
ajst-22376	70	29	,	,	PUNCT
ajst-22376	70	30	and	and	CCONJ
ajst-22376	70	31	dtlz	dtlz	ADJ
ajst-22376	70	32	function	function	NOUN
ajst-22376	70	33	,	,	PUNCT
ajst-22376	70	34	are	be	AUX
ajst-22376	70	35	chosen	choose	VERB
ajst-22376	70	36	to	to	PART
ajst-22376	70	37	verify	verify	VERB
ajst-22376	70	38	the	the	DET
ajst-22376	70	39	performance	performance	NOUN
ajst-22376	70	40	of	of	ADP
ajst-22376	70	41	the	the	DET
ajst-22376	70	42	imoda	imoda	NOUN
ajst-22376	70	43	algorithm	algorithm	NOUN
ajst-22376	70	44	,	,	PUNCT
ajst-22376	70	45	and	and	CCONJ
ajst-22376	70	46	compared	compare	VERB
ajst-22376	70	47	with	with	ADP
ajst-22376	70	48	three	three	NUM
ajst-22376	70	49	well	well	ADV
ajst-22376	70	50	-	-	PUNCT
ajst-22376	70	51	known	know	VERB
ajst-22376	70	52	multi	multi	ADJ
ajst-22376	70	53	-	-	ADJ
ajst-22376	70	54	objective	objective	ADJ
ajst-22376	70	55	optimization	optimization	NOUN
ajst-22376	70	56	algorithms	algorithm	NOUN
ajst-22376	70	57	(	(	PUNCT
ajst-22376	70	58	moda	moda	PROPN
ajst-22376	70	59	,	,	PUNCT
ajst-22376	70	60	mopso	mopso	NOUN
ajst-22376	70	61	[	[	X
ajst-22376	70	62	19	19	NUM
ajst-22376	70	63	]	]	NUM
ajst-22376	70	64	)	)	PUNCT
ajst-22376	70	65	,	,	PUNCT
ajst-22376	70	66	and	and	CCONJ
ajst-22376	70	67	the	the	DET
ajst-22376	70	68	performance	performance	NOUN
ajst-22376	70	69	results	result	NOUN
ajst-22376	70	70	of	of	ADP
ajst-22376	70	71	different	different	ADJ
ajst-22376	70	72	algorithms	algorithm	NOUN
ajst-22376	70	73	are	be	AUX
ajst-22376	70	74	summarized	summarize	VERB
ajst-22376	70	75	in	in	ADP
ajst-22376	70	76	table	table	NOUN
ajst-22376	70	77	2	2	NUM
ajst-22376	70	78	.	.	PUNCT
ajst-22376	70	79	summarizes	summarize	VERB
ajst-22376	70	80	the	the	DET
ajst-22376	70	81	performance	performance	NOUN
ajst-22376	70	82	results	result	NOUN
ajst-22376	70	83	of	of	ADP
ajst-22376	70	84	different	different	ADJ
ajst-22376	70	85	algorithms	algorithm	NOUN
ajst-22376	70	86	.	.	PUNCT
ajst-22376	71	1	table	table	NOUN
ajst-22376	71	2	2	2	NUM
ajst-22376	71	3	.	.	PUNCT
ajst-22376	71	4	performance	performance	NOUN
ajst-22376	71	5	comparison	comparison	NOUN
ajst-22376	71	6	of	of	ADP
ajst-22376	71	7	test	test	NOUN
ajst-22376	71	8	functions	function	NOUN
ajst-22376	71	9	for	for	ADP
ajst-22376	71	10	different	different	ADJ
ajst-22376	71	11	algorithms	algorithm	NOUN
ajst-22376	71	12	function	function	VERB
ajst-22376	71	13	index	index	NOUN
ajst-22376	71	14	ztd1	ztd1	NOUN
ajst-22376	71	15	ztd2	ztd2	PROPN
ajst-22376	71	16	schaffer	schaffer	PROPN
ajst-22376	71	17	dtlz1	dtlz1	PROPN
ajst-22376	71	18	dtlz2	dtlz2	PROPN
ajst-22376	71	19	moda	moda	PROPN
ajst-22376	71	20	mean	mean	PROPN
ajst-22376	71	21	value	value	NOUN
ajst-22376	71	22	0.00587	0.00587	NUM
ajst-22376	71	23	0.00426	0.00426	NUM
ajst-22376	71	24	0.00372	0.00372	NUM
ajst-22376	71	25	0.00608	0.00608	NUM
ajst-22376	71	26	0.01098	0.01098	NUM
ajst-22376	71	27	standard	standard	ADJ
ajst-22376	71	28	deviation	deviation	NOUN
ajst-22376	71	29	0.00301	0.00301	NUM
ajst-22376	71	30	0.00271	0.00271	NUM
ajst-22376	71	31	0.00399	0.00399	NUM
ajst-22376	71	32	0.00409	0.00409	NUM
ajst-22376	71	33	0.00901	0.00901	NUM
ajst-22376	71	34	mopso	mopso	NOUN
ajst-22376	71	35	mean	mean	NOUN
ajst-22376	71	36	value	value	VERB
ajst-22376	71	37	0.00472	0.00472	NUM
ajst-22376	71	38	0.00672	0.00672	NUM
ajst-22376	71	39	0.00507	0.00507	NUM
ajst-22376	71	40	0.05922	0.05922	NUM
ajst-22376	71	41	0.05140	0.05140	NUM
ajst-22376	71	42	standard	standard	ADJ
ajst-22376	71	43	deviation	deviation	NOUN
ajst-22376	71	44	0.00418	0.00418	NUM
ajst-22376	72	1	0.00395	0.00395	NUM
ajst-22376	72	2	0.00500	0.00500	NUM
ajst-22376	72	3	0.03061	0.03061	NUM
ajst-22376	72	4	0.01525	0.01525	NUM
ajst-22376	72	5	imoda	imoda	NOUN
ajst-22376	72	6	mean	mean	NOUN
ajst-22376	72	7	value	value	NOUN
ajst-22376	72	8	0.00553	0.00553	NUM
ajst-22376	72	9	0.00350	0.00350	NUM
ajst-22376	72	10	0.00288	0.00288	NUM
ajst-22376	72	11	0.00572	0.00572	NUM
ajst-22376	72	12	0.00921	0.00921	NUM
ajst-22376	72	13	standard	standard	ADJ
ajst-22376	72	14	deviation	deviation	NOUN
ajst-22376	72	15	0.00292	0.00292	NUM
ajst-22376	72	16	0.00192	0.00192	NUM
ajst-22376	72	17	0.00319	0.00319	NUM
ajst-22376	72	18	0.00308	0.00308	NUM
ajst-22376	72	19	0.00088	0.00088	NUM
ajst-22376	72	20	from	from	ADP
ajst-22376	72	21	table	table	NOUN
ajst-22376	72	22	2	2	NUM
ajst-22376	72	23	,	,	PUNCT
ajst-22376	72	24	it	it	PRON
ajst-22376	72	25	can	can	AUX
ajst-22376	72	26	be	be	AUX
ajst-22376	72	27	seen	see	VERB
ajst-22376	72	28	that	that	SCONJ
ajst-22376	72	29	the	the	DET
ajst-22376	72	30	imoda	imoda	NOUN
ajst-22376	72	31	calculation	calculation	NOUN
ajst-22376	72	32	a	a	DET
ajst-22376	72	33	method	method	NOUN
ajst-22376	72	34	,	,	PUNCT
ajst-22376	72	35	compared	compare	VERB
ajst-22376	72	36	with	with	ADP
ajst-22376	72	37	the	the	DET
ajst-22376	72	38	moda	moda	NOUN
ajst-22376	72	39	algorithm	algorithm	NOUN
ajst-22376	72	40	and	and	CCONJ
ajst-22376	72	41	the	the	DET
ajst-22376	72	42	mopso	mopso	NOUN
ajst-22376	72	43	algorithm	algorithm	NOUN
ajst-22376	72	44	,	,	PUNCT
ajst-22376	72	45	the	the	DET
ajst-22376	72	46	imoda	imoda	NOUN
ajst-22376	72	47	algorithm	algorithm	PROPN
ajst-22376	72	48	achieves	achieve	VERB
ajst-22376	72	49	the	the	DET
ajst-22376	72	50	best	good	ADJ
ajst-22376	72	51	performance	performance	NOUN
ajst-22376	72	52	in	in	ADP
ajst-22376	72	53	the	the	DET
ajst-22376	72	54	3	3	NUM
ajst-22376	72	55	test	test	NOUN
ajst-22376	72	56	functions	function	NOUN
ajst-22376	72	57	in	in	ADP
ajst-22376	72	58	terms	term	NOUN
ajst-22376	72	59	of	of	ADP
ajst-22376	72	60	mean	mean	ADJ
ajst-22376	72	61	,	,	PUNCT
ajst-22376	72	62	standard	standard	ADJ
ajst-22376	72	63	deviation	deviation	NOUN
ajst-22376	72	64	,	,	PUNCT
ajst-22376	72	65	and	and	CCONJ
ajst-22376	72	66	total	total	NOUN
ajst-22376	72	67	of	of	ADP
ajst-22376	72	68	the	the	DET
ajst-22376	72	69	2	2	NUM
ajst-22376	72	70	-	-	PUNCT
ajst-22376	72	71	evaluation	evaluation	NOUN
ajst-22376	72	72	metrics	metric	NOUN
ajst-22376	72	73	.	.	PUNCT
ajst-22376	73	1	4.2.2	4.2.2	X
ajst-22376	73	2	.	.	PUNCT
ajst-22376	73	3	imoda	imoda	PROPN
ajst-22376	73	4	-	-	PUNCT
ajst-22376	73	5	dbn	dbn	PROPN
ajst-22376	73	6	model	model	PROPN
ajst-22376	73	7	validation	validation	PROPN
ajst-22376	73	8	comparison	comparison	NOUN
ajst-22376	73	9	experiments	experiment	NOUN
ajst-22376	73	10	are	be	AUX
ajst-22376	73	11	conducted	conduct	VERB
ajst-22376	73	12	between	between	ADP
ajst-22376	73	13	the	the	DET
ajst-22376	73	14	method	method	NOUN
ajst-22376	73	15	of	of	ADP
ajst-22376	73	16	this	this	DET
ajst-22376	73	17	paper	paper	NOUN
ajst-22376	73	18	and	and	CCONJ
ajst-22376	73	19	some	some	DET
ajst-22376	73	20	commonly	commonly	ADV
ajst-22376	73	21	used	use	VERB
ajst-22376	73	22	methods	method	NOUN
ajst-22376	73	23	for	for	ADP
ajst-22376	73	24	analog	analog	NOUN
ajst-22376	73	25	circuit	circuit	NOUN
ajst-22376	73	26	fault	fault	NOUN
ajst-22376	73	27	diagnosis	diagnosis	NOUN
ajst-22376	73	28	and	and	CCONJ
ajst-22376	73	29	classification	classification	NOUN
ajst-22376	73	30	to	to	PART
ajst-22376	73	31	demonstrate	demonstrate	VERB
ajst-22376	73	32	the	the	DET
ajst-22376	73	33	effectiveness	effectiveness	NOUN
ajst-22376	73	34	and	and	CCONJ
ajst-22376	73	35	superiority	superiority	NOUN
ajst-22376	73	36	of	of	ADP
ajst-22376	73	37	the	the	DET
ajst-22376	73	38	imodadbn	imodadbn	NOUN
ajst-22376	73	39	model	model	NOUN
ajst-22376	73	40	for	for	ADP
ajst-22376	73	41	diagnosing	diagnose	VERB
ajst-22376	73	42	and	and	CCONJ
ajst-22376	73	43	classifying	classify	VERB
ajst-22376	73	44	complex	complex	ADJ
ajst-22376	73	45	circuit	circuit	NOUN
ajst-22376	73	46	faults	fault	NOUN
ajst-22376	73	47	.	.	PUNCT
ajst-22376	74	1	on	on	ADP
ajst-22376	74	2	the	the	DET
ajst-22376	74	3	shallow	shallow	ADJ
ajst-22376	74	4	side	side	NOUN
ajst-22376	74	5	,	,	PUNCT
ajst-22376	74	6	bp	bp	PROPN
ajst-22376	74	7	,	,	PUNCT
ajst-22376	74	8	elm	elm	PROPN
ajst-22376	74	9	,	,	PUNCT
ajst-22376	74	10	are	be	AUX
ajst-22376	74	11	used	use	VERB
ajst-22376	74	12	for	for	ADP
ajst-22376	74	13	classification	classification	NOUN
ajst-22376	74	14	and	and	CCONJ
ajst-22376	74	15	diagnosis	diagnosis	NOUN
ajst-22376	74	16	,	,	PUNCT
ajst-22376	74	17	and	and	CCONJ
ajst-22376	74	18	on	on	ADP
ajst-22376	74	19	the	the	DET
ajst-22376	74	20	deep	deep	ADJ
ajst-22376	74	21	side	side	NOUN
ajst-22376	74	22	,	,	PUNCT
ajst-22376	74	23	traditional	traditional	ADJ
ajst-22376	74	24	dbn	dbn	PROPN
ajst-22376	74	25	and	and	CCONJ
ajst-22376	74	26	cdbn	cdbn	NOUN
ajst-22376	74	27	are	be	AUX
ajst-22376	74	28	used	use	VERB
ajst-22376	74	29	for	for	ADP
ajst-22376	74	30	validation	validation	NOUN
ajst-22376	74	31	.	.	PUNCT
ajst-22376	75	1	the	the	DET
ajst-22376	75	2	above	above	ADJ
ajst-22376	75	3	models	model	NOUN
ajst-22376	75	4	are	be	AUX
ajst-22376	75	5	compared	compare	VERB
ajst-22376	75	6	with	with	ADP
ajst-22376	75	7	the	the	DET
ajst-22376	75	8	imoda	imoda	PROPN
ajst-22376	75	9	-	-	PUNCT
ajst-22376	75	10	dbn	dbn	PROPN
ajst-22376	75	11	proposed	propose	VERB
ajst-22376	75	12	in	in	ADP
ajst-22376	75	13	this	this	DET
ajst-22376	75	14	paper	paper	NOUN
ajst-22376	75	15	in	in	ADP
ajst-22376	75	16	10	10	NUM
ajst-22376	75	17	independent	independent	ADJ
ajst-22376	75	18	diagnostic	diagnostic	ADJ
ajst-22376	75	19	experiments	experiment	NOUN
ajst-22376	75	20	,	,	PUNCT
ajst-22376	75	21	as	as	SCONJ
ajst-22376	75	22	shown	show	VERB
ajst-22376	75	23	in	in	ADP
ajst-22376	75	24	table	table	NOUN
ajst-22376	75	25	3	3	NUM
ajst-22376	75	26	,	,	PUNCT
ajst-22376	75	27	where	where	SCONJ
ajst-22376	75	28	the	the	DET
ajst-22376	75	29	comparison	comparison	NOUN
ajst-22376	75	30	metrics	metric	NOUN
ajst-22376	75	31	include	include	VERB
ajst-22376	75	32	f1	f1	ADJ
ajst-22376	75	33	-	-	PUNCT
ajst-22376	75	34	measure	measure	NOUN
ajst-22376	75	35	and	and	CCONJ
ajst-22376	75	36	average	average	ADJ
ajst-22376	75	37	accuracy	accuracy	NOUN
ajst-22376	75	38	rate	rate	NOUN
ajst-22376	75	39	.	.	PUNCT
ajst-22376	76	1	table	table	NOUN
ajst-22376	76	2	3	3	NUM
ajst-22376	76	3	.	.	PUNCT
ajst-22376	76	4	performance	performance	NOUN
ajst-22376	76	5	comparison	comparison	NOUN
ajst-22376	76	6	of	of	ADP
ajst-22376	76	7	different	different	ADJ
ajst-22376	76	8	models	model	NOUN
ajst-22376	76	9	method	method	VERB
ajst-22376	76	10	f1	f1	NOUN
ajst-22376	76	11	measure	measure	NOUN
ajst-22376	76	12	average	average	ADJ
ajst-22376	76	13	accuracy/%	accuracy/%	ADP
ajst-22376	76	14	bp	bp	PROPN
ajst-22376	76	15	0.796	0.796	NUM
ajst-22376	76	16	75.92	75.92	NUM
ajst-22376	76	17	elm	elm	NOUN
ajst-22376	76	18	0.802	0.802	NUM
ajst-22376	76	19	80.09	80.09	NUM
ajst-22376	76	20	dbn	dbn	PROPN
ajst-22376	76	21	0.913	0.913	NUM
ajst-22376	76	22	91.08	91.08	NUM
ajst-22376	76	23	cdbn	cdbn	NOUN
ajst-22376	76	24	0.942	0.942	NUM
ajst-22376	76	25	92.72	92.72	NUM
ajst-22376	76	26	proposed	propose	VERB
ajst-22376	76	27	0.9602	0.9602	NUM
ajst-22376	76	28	95.23	95.23	NUM
ajst-22376	76	29	from	from	ADP
ajst-22376	76	30	the	the	DET
ajst-22376	76	31	perspective	perspective	NOUN
ajst-22376	76	32	of	of	ADP
ajst-22376	76	33	average	average	ADJ
ajst-22376	76	34	correct	correct	ADJ
ajst-22376	76	35	rate	rate	NOUN
ajst-22376	76	36	,	,	PUNCT
ajst-22376	76	37	the	the	DET
ajst-22376	76	38	average	average	ADJ
ajst-22376	76	39	correct	correct	ADJ
ajst-22376	76	40	rate	rate	NOUN
ajst-22376	76	41	of	of	ADP
ajst-22376	76	42	the	the	DET
ajst-22376	76	43	shallow	shallow	ADJ
ajst-22376	76	44	machine	machine	NOUN
ajst-22376	76	45	learning	learning	NOUN
ajst-22376	76	46	methods	method	NOUN
ajst-22376	76	47	bp	bp	PROPN
ajst-22376	76	48	and	and	CCONJ
ajst-22376	76	49	elm	elm	PROPN
ajst-22376	76	50	used	use	VERB
ajst-22376	76	51	as	as	ADP
ajst-22376	76	52	diagnostic	diagnostic	ADJ
ajst-22376	76	53	models	model	NOUN
ajst-22376	76	54	are	be	AUX
ajst-22376	76	55	lower	low	ADJ
ajst-22376	76	56	than	than	ADP
ajst-22376	76	57	that	that	PRON
ajst-22376	76	58	of	of	ADP
ajst-22376	76	59	the	the	DET
ajst-22376	76	60	deep	deep	ADJ
ajst-22376	76	61	machine	machine	NOUN
ajst-22376	76	62	learning	learning	NOUN
ajst-22376	76	63	models	model	NOUN
ajst-22376	76	64	.	.	PUNCT
ajst-22376	77	1	among	among	ADP
ajst-22376	77	2	the	the	DET
ajst-22376	77	3	deep	deep	ADJ
ajst-22376	77	4	machine	machine	NOUN
ajst-22376	77	5	learning	learning	NOUN
ajst-22376	77	6	models	model	NOUN
ajst-22376	77	7	,	,	PUNCT
ajst-22376	77	8	dbn	dbn	PROPN
ajst-22376	77	9	as	as	ADP
ajst-22376	77	10	a	a	DET
ajst-22376	77	11	diagnostic	diagnostic	ADJ
ajst-22376	77	12	model	model	NOUN
ajst-22376	77	13	had	have	VERB
ajst-22376	77	14	the	the	DET
ajst-22376	77	15	lowest	low	ADJ
ajst-22376	77	16	average	average	ADJ
ajst-22376	77	17	diagnostic	diagnostic	ADJ
ajst-22376	77	18	accuracy	accuracy	NOUN
ajst-22376	77	19	(	(	PUNCT
ajst-22376	77	20	91.08	91.08	NUM
ajst-22376	77	21	%	%	NOUN
ajst-22376	77	22	)	)	PUNCT
ajst-22376	77	23	,	,	PUNCT
ajst-22376	77	24	while	while	SCONJ
ajst-22376	77	25	the	the	DET
ajst-22376	77	26	improved	improved	ADJ
ajst-22376	77	27	models	model	NOUN
ajst-22376	77	28	of	of	ADP
ajst-22376	77	29	dbn	dbn	PROPN
ajst-22376	77	30	,	,	PUNCT
ajst-22376	77	31	cdbn	cdbn	NOUN
ajst-22376	77	32	and	and	CCONJ
ajst-22376	77	33	imoda	imoda	NOUN
ajst-22376	77	34	-	-	PUNCT
ajst-22376	77	35	adbn	adbn	NOUN
ajst-22376	77	36	models	model	NOUN
ajst-22376	77	37	,	,	PUNCT
ajst-22376	77	38	had	have	VERB
ajst-22376	77	39	average	average	ADJ
ajst-22376	77	40	diagnostic	diagnostic	ADJ
ajst-22376	77	41	accuracies	accuracy	NOUN
ajst-22376	77	42	of	of	ADP
ajst-22376	77	43	92.72	92.72	NUM
ajst-22376	77	44	%	%	NOUN
ajst-22376	77	45	and	and	CCONJ
ajst-22376	77	46	95.23	95.23	NUM
ajst-22376	77	47	%	%	NOUN
ajst-22376	77	48	,	,	PUNCT
ajst-22376	77	49	respectively	respectively	ADV
ajst-22376	77	50	,	,	PUNCT
ajst-22376	77	51	and	and	CCONJ
ajst-22376	77	52	the	the	DET
ajst-22376	77	53	optimal	optimal	ADJ
ajst-22376	77	54	performance	performance	NOUN
ajst-22376	77	55	was	be	AUX
ajst-22376	77	56	achieved	achieve	VERB
ajst-22376	77	57	by	by	ADP
ajst-22376	77	58	the	the	DET
ajst-22376	77	59	imoda	imoda	NOUN
ajst-22376	77	60	-	-	PUNCT
ajst-22376	77	61	adbn	adbn	NOUN
ajst-22376	77	62	diagnostic	diagnostic	ADJ
ajst-22376	77	63	model	model	NOUN
ajst-22376	77	64	.	.	PUNCT
ajst-22376	78	1	5	5	X
ajst-22376	78	2	.	.	X
ajst-22376	78	3	summary	summary	NOUN
ajst-22376	78	4	dbn	dbn	PROPN
ajst-22376	78	5	,	,	PUNCT
ajst-22376	78	6	as	as	ADP
ajst-22376	78	7	the	the	DET
ajst-22376	78	8	most	most	ADV
ajst-22376	78	9	typical	typical	ADJ
ajst-22376	78	10	model	model	NOUN
ajst-22376	78	11	in	in	ADP
ajst-22376	78	12	deep	deep	ADJ
ajst-22376	78	13	learning	learning	NOUN
ajst-22376	78	14	,	,	PUNCT
ajst-22376	78	15	has	have	AUX
ajst-22376	78	16	been	be	AUX
ajst-22376	78	17	studied	study	VERB
ajst-22376	78	18	and	and	CCONJ
ajst-22376	78	19	applied	apply	VERB
ajst-22376	78	20	in	in	ADP
ajst-22376	78	21	different	different	ADJ
ajst-22376	78	22	fields	field	NOUN
ajst-22376	78	23	.	.	PUNCT
ajst-22376	79	1	dbn	dbn	PROPN
ajst-22376	79	2	is	be	AUX
ajst-22376	79	3	prone	prone	ADJ
ajst-22376	79	4	to	to	PART
ajst-22376	79	5	fall	fall	VERB
ajst-22376	79	6	into	into	ADP
ajst-22376	79	7	local	local	ADJ
ajst-22376	79	8	optimality	optimality	NOUN
ajst-22376	79	9	in	in	ADP
ajst-22376	79	10	the	the	DET
ajst-22376	79	11	process	process	NOUN
ajst-22376	79	12	of	of	ADP
ajst-22376	79	13	backward	backward	ADJ
ajst-22376	79	14	fine	fine	ADV
ajst-22376	79	15	-	-	PUNCT
ajst-22376	79	16	tuning	tuning	NOUN
ajst-22376	79	17	due	due	ADJ
ajst-22376	79	18	to	to	ADP
ajst-22376	79	19	the	the	DET
ajst-22376	79	20	nature	nature	NOUN
ajst-22376	79	21	of	of	ADP
ajst-22376	79	22	bp	bp	PROPN
ajst-22376	79	23	algorithm	algorithm	PROPN
ajst-22376	79	24	.	.	PUNCT
ajst-22376	80	1	to	to	PART
ajst-22376	80	2	address	address	VERB
ajst-22376	80	3	the	the	DET
ajst-22376	80	4	above	above	ADJ
ajst-22376	80	5	problems	problem	NOUN
ajst-22376	80	6	,	,	PUNCT
ajst-22376	80	7	this	this	DET
ajst-22376	80	8	paper	paper	NOUN
ajst-22376	80	9	proposes	propose	VERB
ajst-22376	80	10	an	an	DET
ajst-22376	80	11	imoda	imoda	NOUN
ajst-22376	80	12	-	-	PUNCT
ajst-22376	80	13	adbn	adbn	NOUN
ajst-22376	80	14	-	-	PUNCT
ajst-22376	80	15	based	base	VERB
ajst-22376	80	16	analog	analog	NOUN
ajst-22376	80	17	circuit	circuit	NOUN
ajst-22376	80	18	fault	fault	NOUN
ajst-22376	80	19	diagnosis	diagnosis	NOUN
ajst-22376	80	20	method	method	NOUN
ajst-22376	80	21	to	to	PART
ajst-22376	80	22	cope	cope	VERB
ajst-22376	80	23	with	with	ADP
ajst-22376	80	24	the	the	DET
ajst-22376	80	25	challenges	challenge	NOUN
ajst-22376	80	26	of	of	ADP
ajst-22376	80	27	time	time	NOUN
ajst-22376	80	28	-	-	PUNCT
ajst-22376	80	29	consuming	consume	VERB
ajst-22376	80	30	training	training	NOUN
ajst-22376	80	31	and	and	CCONJ
ajst-22376	80	32	backward	backward	ADJ
ajst-22376	80	33	finetuning	finetuning	NOUN
ajst-22376	80	34	of	of	ADP
ajst-22376	80	35	dbn	dbn	PROPN
ajst-22376	80	36	in	in	ADP
ajst-22376	80	37	the	the	DET
ajst-22376	80	38	context	context	NOUN
ajst-22376	80	39	of	of	ADP
ajst-22376	80	40	big	big	ADJ
ajst-22376	80	41	data	datum	NOUN
ajst-22376	80	42	.	.	PUNCT
ajst-22376	81	1	the	the	DET
ajst-22376	81	2	research	research	NOUN
ajst-22376	81	3	innovations	innovation	NOUN
ajst-22376	81	4	are	be	AUX
ajst-22376	81	5	as	as	SCONJ
ajst-22376	81	6	follows	follow	VERB
ajst-22376	81	7	:	:	PUNCT
ajst-22376	81	8	the	the	DET
ajst-22376	81	9	moda	moda	PROPN
ajst-22376	81	10	algorithm	algorithm	PROPN
ajst-22376	81	11	is	be	AUX
ajst-22376	81	12	optimized	optimize	VERB
ajst-22376	81	13	by	by	ADP
ajst-22376	81	14	adding	add	VERB
ajst-22376	81	15	logstic	logstic	ADJ
ajst-22376	81	16	chaotic	chaotic	ADJ
ajst-22376	81	17	mapping	mapping	NOUN
ajst-22376	81	18	and	and	CCONJ
ajst-22376	81	19	oppositional	oppositional	ADJ
ajst-22376	81	20	jumps	jump	NOUN
ajst-22376	81	21	to	to	PART
ajst-22376	81	22	increase	increase	VERB
ajst-22376	81	23	the	the	DET
ajst-22376	81	24	diversity	diversity	NOUN
ajst-22376	81	25	,	,	PUNCT
ajst-22376	81	26	and	and	CCONJ
ajst-22376	81	27	the	the	DET
ajst-22376	81	28	improved	improved	ADJ
ajst-22376	81	29	imoda	imoda	NOUN
ajst-22376	81	30	algorithm	algorithm	NOUN
ajst-22376	81	31	is	be	AUX
ajst-22376	81	32	compared	compare	VERB
ajst-22376	81	33	with	with	ADP
ajst-22376	81	34	the	the	DET
ajst-22376	81	35	traditional	traditional	ADJ
ajst-22376	81	36	moda	moda	NOUN
ajst-22376	81	37	algorithm	algorithm	NOUN
ajst-22376	81	38	and	and	CCONJ
ajst-22376	81	39	mopso	mopso	NOUN
ajst-22376	81	40	algorithm	algorithm	NOUN
ajst-22376	81	41	,	,	PUNCT
ajst-22376	81	42	and	and	CCONJ
ajst-22376	81	43	experimentally	experimentally	ADV
ajst-22376	81	44	verified	verify	VERB
ajst-22376	81	45	by	by	ADP
ajst-22376	81	46	using	use	VERB
ajst-22376	81	47	the	the	DET
ajst-22376	81	48	test	test	NOUN
ajst-22376	81	49	function	function	NOUN
ajst-22376	81	50	,	,	PUNCT
ajst-22376	81	51	which	which	PRON
ajst-22376	81	52	shows	show	VERB
ajst-22376	81	53	that	that	SCONJ
ajst-22376	81	54	the	the	DET
ajst-22376	81	55	distribution	distribution	NOUN
ajst-22376	81	56	of	of	ADP
ajst-22376	81	57	the	the	DET
ajst-22376	81	58	pareto	pareto	ADJ
ajst-22376	81	59	solutions	solution	NOUN
ajst-22376	81	60	generated	generate	VERB
ajst-22376	81	61	by	by	ADP
ajst-22376	81	62	the	the	DET
ajst-22376	81	63	imoda	imoda	NOUN
ajst-22376	81	64	algorithm	algorithm	NOUN
ajst-22376	81	65	is	be	AUX
ajst-22376	81	66	more	more	ADV
ajst-22376	81	67	uniform	uniform	ADJ
ajst-22376	81	68	.	.	PUNCT
ajst-22376	82	1	finally	finally	ADV
ajst-22376	82	2	,	,	PUNCT
ajst-22376	82	3	the	the	DET
ajst-22376	82	4	imoda	imoda	NOUN
ajst-22376	82	5	-	-	PUNCT
ajst-22376	82	6	dbn	dbn	PROPN
ajst-22376	82	7	is	be	AUX
ajst-22376	82	8	verified	verify	VERB
ajst-22376	82	9	by	by	ADP
ajst-22376	82	10	simulation	simulation	NOUN
ajst-22376	82	11	experiments	experiment	NOUN
ajst-22376	82	12	using	use	VERB
ajst-22376	82	13	dual	dual	ADJ
ajst-22376	82	14	second	second	ADJ
ajst-22376	82	15	-	-	PUNCT
ajst-22376	82	16	order	order	NOUN
ajst-22376	82	17	four	four	NUM
ajst-22376	82	18	-	-	PUNCT
ajst-22376	82	19	op	op	NOUN
ajst-22376	82	20	-	-	PUNCT
ajst-22376	82	21	amp	amp	NOUN
ajst-22376	82	22	low	low	ADJ
ajst-22376	82	23	-	-	PUNCT
ajst-22376	82	24	pass	pass	NOUN
ajst-22376	82	25	226	226	NUM
ajst-22376	82	26	filters	filter	NOUN
ajst-22376	82	27	.	.	PUNCT
ajst-22376	83	1	the	the	DET
ajst-22376	83	2	results	result	NOUN
ajst-22376	83	3	of	of	ADP
ajst-22376	83	4	the	the	DET
ajst-22376	83	5	simulation	simulation	NOUN
ajst-22376	83	6	experiments	experiment	NOUN
ajst-22376	83	7	show	show	VERB
ajst-22376	83	8	that	that	SCONJ
ajst-22376	83	9	the	the	DET
ajst-22376	83	10	imoda	imoda	PROPN
ajst-22376	83	11	-	-	PUNCT
ajst-22376	83	12	dbn	dbn	PROPN
ajst-22376	83	13	model	model	NOUN
ajst-22376	83	14	is	be	AUX
ajst-22376	83	15	able	able	ADJ
ajst-22376	83	16	to	to	PART
ajst-22376	83	17	achieve	achieve	VERB
ajst-22376	83	18	efficient	efficient	ADJ
ajst-22376	83	19	classification	classification	NOUN
ajst-22376	83	20	and	and	CCONJ
ajst-22376	83	21	localization	localization	NOUN
ajst-22376	83	22	of	of	ADP
ajst-22376	83	23	faults	fault	NOUN
ajst-22376	83	24	,	,	PUNCT
ajst-22376	83	25	and	and	CCONJ
ajst-22376	83	26	can	can	AUX
ajst-22376	83	27	be	be	AUX
ajst-22376	83	28	used	use	VERB
ajst-22376	83	29	as	as	ADP
ajst-22376	83	30	a	a	DET
ajst-22376	83	31	new	new	ADJ
ajst-22376	83	32	solution	solution	NOUN
ajst-22376	83	33	in	in	ADP
ajst-22376	83	34	areas	area	NOUN
ajst-22376	83	35	such	such	ADJ
ajst-22376	83	36	as	as	ADP
ajst-22376	83	37	analog	analog	NOUN
ajst-22376	83	38	circuit	circuit	NOUN
ajst-22376	83	39	fault	fault	NOUN
ajst-22376	83	40	diagnosis	diagnosis	NOUN
ajst-22376	83	41	.	.	PUNCT
ajst-22376	84	1	acknowledgments	acknowledgment	NOUN
ajst-22376	84	2	the	the	DET
ajst-22376	84	3	authors	author	NOUN
ajst-22376	84	4	gratefully	gratefully	ADV
ajst-22376	84	5	acknowledge	acknowledge	VERB
ajst-22376	84	6	the	the	DET
ajst-22376	84	7	financial	financial	ADJ
ajst-22376	84	8	support	support	NOUN
ajst-22376	84	9	from	from	ADP
ajst-22376	84	10	the	the	DET
ajst-22376	84	11	excellent	excellent	ADJ
ajst-22376	84	12	doctoral	doctoral	ADJ
ajst-22376	84	13	program	program	NOUN
ajst-22376	84	14	of	of	ADP
ajst-22376	84	15	gansu	gansu	PROPN
ajst-22376	84	16	provincial	provincial	ADJ
ajst-22376	84	17	science	science	NOUN
ajst-22376	84	18	and	and	CCONJ
ajst-22376	84	19	technology	technology	NOUN
ajst-22376	84	20	plan	plan	NOUN
ajst-22376	84	21	project	project	NOUN
ajst-22376	84	22	(	(	PUNCT
ajst-22376	84	23	23jrra809	23jrra809	NOUN
ajst-22376	84	24	)	)	PUNCT
ajst-22376	84	25	.	.	PUNCT
ajst-22376	85	1	references	reference	NOUN
ajst-22376	85	2	[	[	X
ajst-22376	85	3	1	1	NUM
ajst-22376	85	4	]	]	X
ajst-22376	85	5	sai	sai	X
ajst-22376	85	6	sarathi	sarathi	PROPN
ajst-22376	85	7	vasan	vasan	PROPN
ajst-22376	85	8	arvind	arvind	PROPN
ajst-22376	85	9	,	,	PUNCT
ajst-22376	85	10	long	long	ADJ
ajst-22376	85	11	bing	bing	NOUN
ajst-22376	85	12	,	,	PUNCT
ajst-22376	85	13	pecht	pecht	PROPN
ajst-22376	85	14	michael	michael	PROPN
ajst-22376	85	15	.	.	PUNCT
ajst-22376	86	1	diagnostics	diagnostic	NOUN
ajst-22376	86	2	and	and	CCONJ
ajst-22376	86	3	prognostics	prognostic	NOUN
ajst-22376	86	4	method	method	NOUN
ajst-22376	86	5	for	for	ADP
ajst-22376	86	6	analog	analog	ADJ
ajst-22376	86	7	electronic	electronic	ADJ
ajst-22376	86	8	circuits	circuit	NOUN
ajst-22376	86	9	.	.	PUNCT
ajst-22376	87	1	ieee	ieee	NOUN
ajst-22376	87	2	transactions	transaction	NOUN
ajst-22376	87	3	on	on	ADP
ajst-22376	87	4	industrial	industrial	ADJ
ajst-22376	87	5	electronics	electronic	NOUN
ajst-22376	87	6	,	,	PUNCT
ajst-22376	87	7	2013	2013	NUM
ajst-22376	87	8	,	,	PUNCT
ajst-22376	87	9	60(11	60(11	NUM
ajst-22376	87	10	):	):	PUNCT
ajst-22376	87	11	5277	5277	NUM
ajst-22376	87	12	-	-	SYM
ajst-22376	87	13	5291	5291	NUM
ajst-22376	87	14	.	.	PUNCT
ajst-22376	88	1	[	[	X
ajst-22376	88	2	2	2	NUM
ajst-22376	88	3	]	]	PUNCT
ajst-22376	88	4	ao	ao	PROPN
ajst-22376	88	5	yongcai	yongcai	PROPN
ajst-22376	88	6	,	,	PUNCT
ajst-22376	88	7	shi	shi	PROPN
ajst-22376	88	8	yibing	yibing	PROPN
ajst-22376	88	9	,	,	PUNCT
ajst-22376	88	10	zhang	zhang	PROPN
ajst-22376	88	11	wei	wei	PROPN
ajst-22376	88	12	,	,	PUNCT
ajst-22376	88	13	et	et	PROPN
ajst-22376	88	14	al	al	PROPN
ajst-22376	88	15	.	.	PUNCT
ajst-22376	89	1	an	an	DET
ajst-22376	89	2	approximate	approximate	ADJ
ajst-22376	89	3	calculation	calculation	NOUN
ajst-22376	89	4	of	of	ADP
ajst-22376	89	5	ratio	ratio	NOUN
ajst-22376	89	6	of	of	ADP
ajst-22376	89	7	normal	normal	ADJ
ajst-22376	89	8	variables	variable	NOUN
ajst-22376	89	9	and	and	CCONJ
ajst-22376	89	10	its	its	PRON
ajst-22376	89	11	application	application	NOUN
ajst-22376	89	12	in	in	ADP
ajst-22376	89	13	analog	analog	NOUN
ajst-22376	89	14	circuit	circuit	NOUN
ajst-22376	89	15	fault	fault	NOUN
ajst-22376	89	16	diagnosis	diagnosis	NOUN
ajst-22376	89	17	.	.	PUNCT
ajst-22376	90	1	journal	journal	NOUN
ajst-22376	90	2	of	of	ADP
ajst-22376	90	3	electronic	electronic	ADJ
ajst-22376	90	4	testing	testing	NOUN
ajst-22376	90	5	theory	theory	NOUN
ajst-22376	90	6	&	&	CCONJ
ajst-22376	90	7	applications	application	NOUN
ajst-22376	90	8	,	,	PUNCT
ajst-22376	90	9	2013	2013	NUM
ajst-22376	90	10	,	,	PUNCT
ajst-22376	90	11	29	29	NUM
ajst-22376	90	12	(	(	PUNCT
ajst-22376	90	13	4	4	NUM
ajst-22376	90	14	):	):	PUNCT
ajst-22376	90	15	555	555	NUM
ajst-22376	90	16	-	-	SYM
ajst-22376	90	17	565	565	NUM
ajst-22376	90	18	.	.	PUNCT
ajst-22376	91	1	[	[	X
ajst-22376	91	2	3	3	NUM
ajst-22376	91	3	]	]	X
ajst-22376	91	4	tang	tang	PROPN
ajst-22376	91	5	xiaofeng	xiaofeng	PROPN
ajst-22376	91	6	,	,	PUNCT
ajst-22376	91	7	xu	xu	PROPN
ajst-22376	91	8	aiqiang	aiqiang	PROPN
ajst-22376	91	9	.	.	PUNCT
ajst-22376	92	1	practical	practical	ADJ
ajst-22376	92	2	analog	analog	NOUN
ajst-22376	92	3	circuit	circuit	NOUN
ajst-22376	92	4	diagnosis	diagnosis	NOUN
ajst-22376	92	5	based	base	VERB
ajst-22376	92	6	on	on	ADP
ajst-22376	92	7	fault	fault	NOUN
ajst-22376	92	8	features	feature	VERB
ajst-22376	92	9	with	with	ADP
ajst-22376	92	10	minimum	minimum	ADJ
ajst-22376	92	11	ambiguities	ambiguity	NOUN
ajst-22376	92	12	.	.	PUNCT
ajst-22376	93	1	journal	journal	NOUN
ajst-22376	93	2	of	of	ADP
ajst-22376	93	3	electronic	electronic	ADJ
ajst-22376	93	4	testing	testing	NOUN
ajst-22376	93	5	,	,	PUNCT
ajst-22376	93	6	2016	2016	NUM
ajst-22376	93	7	,	,	PUNCT
ajst-22376	93	8	32(1	32(1	NUM
ajst-22376	93	9	):	):	PUNCT
ajst-22376	93	10	1	1	NUM
ajst-22376	93	11	-	-	SYM
ajst-22376	93	12	13	13	NUM
ajst-22376	93	13	.	.	PUNCT
ajst-22376	94	1	[	[	X
ajst-22376	94	2	4	4	X
ajst-22376	94	3	]	]	PUNCT
ajst-22376	94	4	tadeusiewicz	tadeusiewicz	PROPN
ajst-22376	94	5	michal	michal	PROPN
ajst-22376	94	6	,	,	PUNCT
ajst-22376	94	7	halgas	halgas	PROPN
ajst-22376	94	8	stanislaw	stanislaw	NOUN
ajst-22376	94	9	.	.	PUNCT
ajst-22376	95	1	a	a	DET
ajst-22376	95	2	method	method	NOUN
ajst-22376	95	3	for	for	ADP
ajst-22376	95	4	local	local	ADJ
ajst-22376	95	5	parametric	parametric	ADJ
ajst-22376	95	6	fault	fault	NOUN
ajst-22376	95	7	diagnosis	diagnosis	NOUN
ajst-22376	95	8	of	of	ADP
ajst-22376	95	9	a	a	DET
ajst-22376	95	10	broad	broad	ADJ
ajst-22376	95	11	class	class	NOUN
ajst-22376	95	12	of	of	ADP
ajst-22376	95	13	analog	analog	NOUN
ajst-22376	95	14	integrated	integrate	VERB
ajst-22376	95	15	circuits	circuit	NOUN
ajst-22376	95	16	.	.	PUNCT
ajst-22376	96	1	ieee	ieee	NOUN
ajst-22376	96	2	transactions	transaction	NOUN
ajst-22376	96	3	on	on	ADP
ajst-22376	96	4	instrumentation	instrumentation	NOUN
ajst-22376	96	5	and	and	CCONJ
ajst-22376	96	6	measurement	measurement	NOUN
ajst-22376	96	7	,	,	PUNCT
ajst-22376	96	8	2018	2018	NUM
ajst-22376	96	9	,	,	PUNCT
ajst-22376	96	10	67	67	NUM
ajst-22376	96	11	(	(	PUNCT
ajst-22376	96	12	2	2	NUM
ajst-22376	96	13	):	):	PUNCT
ajst-22376	96	14	328	328	NUM
ajst-22376	96	15	-	-	SYM
ajst-22376	96	16	337	337	NUM
ajst-22376	96	17	.	.	PUNCT
ajst-22376	97	1	[	[	X
ajst-22376	97	2	5	5	NUM
ajst-22376	97	3	]	]	PUNCT
ajst-22376	97	4	aminian	aminian	PROPN
ajst-22376	97	5	mehran	mehran	PROPN
ajst-22376	97	6	,	,	PUNCT
ajst-22376	97	7	aminian	aminian	PROPN
ajst-22376	97	8	farzan	farzan	PROPN
ajst-22376	97	9	.	.	PUNCT
ajst-22376	98	1	a	a	DET
ajst-22376	98	2	modular	modular	ADJ
ajst-22376	98	3	fault	fault	NOUN
ajst-22376	98	4	-	-	PUNCT
ajst-22376	98	5	diagnostic	diagnostic	ADJ
ajst-22376	98	6	system	system	NOUN
ajst-22376	98	7	for	for	ADP
ajst-22376	98	8	analog	analog	ADJ
ajst-22376	98	9	electronic	electronic	ADJ
ajst-22376	98	10	circuits	circuit	NOUN
ajst-22376	98	11	using	use	VERB
ajst-22376	98	12	neural	neural	ADJ
ajst-22376	98	13	networks	network	NOUN
ajst-22376	98	14	with	with	ADP
ajst-22376	98	15	wavelet	wavelet	NOUN
ajst-22376	98	16	transform	transform	NOUN
ajst-22376	98	17	as	as	ADP
ajst-22376	98	18	a	a	DET
ajst-22376	98	19	preprocessor	preprocessor	NOUN
ajst-22376	98	20	.	.	PUNCT
ajst-22376	99	1	ieee	ieee	NOUN
ajst-22376	99	2	transactions	transaction	NOUN
ajst-22376	99	3	on	on	ADP
ajst-22376	99	4	instrumentation	instrumentation	NOUN
ajst-22376	99	5	and	and	CCONJ
ajst-22376	99	6	measurement	measurement	NOUN
ajst-22376	99	7	,	,	PUNCT
ajst-22376	99	8	2007	2007	NUM
ajst-22376	99	9	,	,	PUNCT
ajst-22376	99	10	56(5	56(5	NUM
ajst-22376	99	11	):	):	PUNCT
ajst-22376	99	12	1546	1546	NUM
ajst-22376	99	13	-	-	SYM
ajst-22376	99	14	1554	1554	NUM
ajst-22376	99	15	.	.	PUNCT
ajst-22376	100	1	[	[	X
ajst-22376	100	2	6	6	NUM
ajst-22376	100	3	]	]	PUNCT
ajst-22376	100	4	laurain	laurain	NOUN
ajst-22376	100	5	vincent	vincent	PROPN
ajst-22376	100	6	,	,	PUNCT
ajst-22376	100	7	tóth	tóth	PROPN
ajst-22376	100	8	roland	roland	PROPN
ajst-22376	100	9	,	,	PUNCT
ajst-22376	100	10	piga	piga	PROPN
ajst-22376	100	11	dario	dario	PROPN
ajst-22376	100	12	,	,	PUNCT
ajst-22376	100	13	et	et	PROPN
ajst-22376	100	14	al	al	PROPN
ajst-22376	100	15	.	.	PUNCT
ajst-22376	101	1	an	an	DET
ajst-22376	101	2	instrumental	instrumental	ADJ
ajst-22376	101	3	least	least	ADJ
ajst-22376	101	4	squares	square	NOUN
ajst-22376	101	5	support	support	VERB
ajst-22376	101	6	vector	vector	NOUN
ajst-22376	101	7	machine	machine	NOUN
ajst-22376	101	8	for	for	ADP
ajst-22376	101	9	nonlinear	nonlinear	ADJ
ajst-22376	101	10	system	system	NOUN
ajst-22376	101	11	identification	identification	NOUN
ajst-22376	101	12	.	.	PUNCT
ajst-22376	102	1	automatica	automatica	PROPN
ajst-22376	102	2	,	,	PUNCT
ajst-22376	102	3	2015	2015	NUM
ajst-22376	102	4	,	,	PUNCT
ajst-22376	102	5	54	54	NUM
ajst-22376	102	6	:	:	SYM
ajst-22376	102	7	340	340	NUM
ajst-22376	102	8	-	-	SYM
ajst-22376	102	9	347	347	NUM
ajst-22376	102	10	.	.	PUNCT
ajst-22376	103	1	[	[	X
ajst-22376	103	2	7	7	NUM
ajst-22376	103	3	]	]	SYM
ajst-22376	103	4	hu	hu	PROPN
ajst-22376	103	5	qinlei	qinlei	PROPN
ajst-22376	103	6	,	,	PUNCT
ajst-22376	103	7	xiao	xiao	PROPN
ajst-22376	103	8	bing	bing	PROPN
ajst-22376	103	9	.	.	PUNCT
ajst-22376	104	1	adaptive	adaptive	ADJ
ajst-22376	104	2	fault	fault	NOUN
ajst-22376	104	3	tolerant	tolerant	ADJ
ajst-22376	104	4	control	control	NOUN
ajst-22376	104	5	using	use	VERB
ajst-22376	104	6	integral	integral	ADJ
ajst-22376	104	7	sliding	slide	VERB
ajst-22376	104	8	mode	mode	NOUN
ajst-22376	104	9	strategy	strategy	NOUN
ajst-22376	104	10	with	with	ADP
ajst-22376	104	11	application	application	NOUN
ajst-22376	104	12	to	to	ADP
ajst-22376	104	13	flexible	flexible	ADJ
ajst-22376	104	14	spacecraft	spacecraft	NOUN
ajst-22376	104	15	.	.	PUNCT
ajst-22376	105	1	international	international	ADJ
ajst-22376	105	2	journal	journal	PROPN
ajst-22376	105	3	of	of	ADP
ajst-22376	105	4	systems	system	NOUN
ajst-22376	105	5	science	science	NOUN
ajst-22376	105	6	,	,	PUNCT
ajst-22376	105	7	2013	2013	NUM
ajst-22376	105	8	,	,	PUNCT
ajst-22376	105	9	44	44	NUM
ajst-22376	105	10	(	(	PUNCT
ajst-22376	105	11	12	12	NUM
ajst-22376	105	12	):	):	PUNCT
ajst-22376	105	13	2273	2273	NUM
ajst-22376	105	14	-	-	SYM
ajst-22376	105	15	2286	2286	NUM
ajst-22376	105	16	.	.	PUNCT
ajst-22376	106	1	[	[	X
ajst-22376	106	2	8	8	NUM
ajst-22376	106	3	]	]	X
ajst-22376	106	4	cohen	cohen	PROPN
ajst-22376	106	5	achraf	achraf	PROPN
ajst-22376	106	6	,	,	PUNCT
ajst-22376	106	7	tiplica	tiplica	PROPN
ajst-22376	106	8	teodor	teodor	ADV
ajst-22376	106	9	,	,	PUNCT
ajst-22376	106	10	kobi	kobi	PROPN
ajst-22376	106	11	a	a	PRON
ajst-22376	106	12	,	,	PUNCT
ajst-22376	106	13	abdessamad	abdessamad	NOUN
ajst-22376	106	14	.	.	PUNCT
ajst-22376	107	1	design	design	NOUN
ajst-22376	107	2	of	of	ADP
ajst-22376	107	3	experiments	experiment	NOUN
ajst-22376	107	4	and	and	CCONJ
ajst-22376	107	5	statistical	statistical	ADJ
ajst-22376	107	6	process	process	NOUN
ajst-22376	107	7	control	control	NOUN
ajst-22376	107	8	using	use	VERB
ajst-22376	107	9	wavelets	wavelet	NOUN
ajst-22376	107	10	analysis	analysis	NOUN
ajst-22376	107	11	.	.	PUNCT
ajst-22376	108	1	control	control	NOUN
ajst-22376	108	2	engineering	engineering	NOUN
ajst-22376	108	3	practice	practice	NOUN
ajst-22376	108	4	,	,	PUNCT
ajst-22376	108	5	2016	2016	NUM
ajst-22376	108	6	,	,	PUNCT
ajst-22376	108	7	49(4	49(4	NOUN
ajst-22376	108	8	):	):	PUNCT
ajst-22376	108	9	129	129	NUM
ajst-22376	108	10	-	-	SYM
ajst-22376	108	11	138	138	NUM
ajst-22376	108	12	.	.	PUNCT
ajst-22376	109	1	[	[	X
ajst-22376	109	2	9	9	NUM
ajst-22376	109	3	]	]	PUNCT
ajst-22376	109	4	tadeusiewicz	tadeusiewicz	PROPN
ajst-22376	109	5	michal	michal	PROPN
ajst-22376	109	6	,	,	PUNCT
ajst-22376	109	7	halgas	halgas	PROPN
ajst-22376	109	8	stanislaw	stanislaw	NOUN
ajst-22376	109	9	.	.	PUNCT
ajst-22376	110	1	a	a	DET
ajst-22376	110	2	new	new	ADJ
ajst-22376	110	3	approach	approach	NOUN
ajst-22376	110	4	to	to	ADP
ajst-22376	110	5	multiple	multiple	ADJ
ajst-22376	110	6	soft	soft	ADJ
ajst-22376	110	7	fault	fault	NOUN
ajst-22376	110	8	diagnosis	diagnosis	NOUN
ajst-22376	110	9	of	of	ADP
ajst-22376	110	10	analog	analog	NOUN
ajst-22376	110	11	bjt	bjt	PROPN
ajst-22376	110	12	and	and	CCONJ
ajst-22376	110	13	cmos	cmos	PROPN
ajst-22376	110	14	circuits	circuit	NOUN
ajst-22376	110	15	.	.	PUNCT
ajst-22376	111	1	ieee	ieee	NOUN
ajst-22376	111	2	transactions	transaction	NOUN
ajst-22376	111	3	on	on	ADP
ajst-22376	111	4	instrumentation	instrumentation	NOUN
ajst-22376	111	5	and	and	CCONJ
ajst-22376	111	6	measurement	measurement	NOUN
ajst-22376	111	7	,	,	PUNCT
ajst-22376	111	8	2015	2015	NUM
ajst-22376	111	9	,	,	PUNCT
ajst-22376	111	10	64(10	64(10	NUM
ajst-22376	111	11	):	):	PUNCT
ajst-22376	111	12	2688	2688	NUM
ajst-22376	111	13	-	-	SYM
ajst-22376	111	14	2695	2695	NUM
ajst-22376	111	15	.	.	PUNCT
ajst-22376	112	1	[	[	X
ajst-22376	112	2	10	10	NUM
ajst-22376	112	3	]	]	X
ajst-22376	112	4	long	long	ADJ
ajst-22376	112	5	bing	bing	NOUN
ajst-22376	112	6	,	,	PUNCT
ajst-22376	112	7	li	li	PROPN
ajst-22376	112	8	min	min	PROPN
ajst-22376	112	9	,	,	PUNCT
ajst-22376	112	10	wang	wang	PROPN
ajst-22376	112	11	houiun	houiun	PROPN
ajst-22376	112	12	,	,	PUNCT
ajst-22376	112	13	et	et	PROPN
ajst-22376	112	14	al	al	PROPN
ajst-22376	112	15	.	.	PUNCT
ajst-22376	112	16	diagnostics	diagnostic	NOUN
ajst-22376	112	17	of	of	ADP
ajst-22376	112	18	analog	analog	ADJ
ajst-22376	112	19	circuits	circuit	NOUN
ajst-22376	112	20	based	base	VERB
ajst-22376	112	21	on	on	ADP
ajst-22376	112	22	ls	ls	ADJ
ajst-22376	112	23	-	-	PUNCT
ajst-22376	112	24	svm	svm	NOUN
ajst-22376	112	25	using	use	VERB
ajst-22376	112	26	time	time	NOUN
ajst-22376	112	27	-	-	PUNCT
ajst-22376	112	28	domain	domain	NOUN
ajst-22376	112	29	features	feature	NOUN
ajst-22376	112	30	.	.	PUNCT
ajst-22376	113	1	circuits	circuit	NOUN
ajst-22376	113	2	systems	systems	PROPN
ajst-22376	113	3	&	&	CCONJ
ajst-22376	113	4	signal	signal	PROPN
ajst-22376	113	5	processing	processing	NOUN
ajst-22376	113	6	,	,	PUNCT
ajst-22376	113	7	2013	2013	NUM
ajst-22376	113	8	,	,	PUNCT
ajst-22376	113	9	32(6	32(6	NUM
ajst-22376	113	10	):	):	PUNCT
ajst-22376	113	11	2683	2683	NUM
ajst-22376	113	12	-	-	SYM
ajst-22376	113	13	2706	2706	NUM
ajst-22376	113	14	.	.	PUNCT
ajst-22376	114	1	[	[	X
ajst-22376	114	2	11	11	NUM
ajst-22376	114	3	]	]	PUNCT
ajst-22376	114	4	varatharaj	varatharaj	PROPN
ajst-22376	114	5	kalpana	kalpana	PROPN
ajst-22376	114	6	,	,	PUNCT
ajst-22376	114	7	maheswar	maheswar	PROPN
ajst-22376	114	8	,	,	PUNCT
ajst-22376	114	9	r.	r.	PROPN
ajst-22376	114	10	,	,	PUNCT
ajst-22376	114	11	nandakumar	nandakumar	PROPN
ajst-22376	114	12	,	,	PUNCT
ajst-22376	114	13	e.	e.	PROPN
ajst-22376	114	14	multiple	multiple	PROPN
ajst-22376	114	15	parametric	parametric	ADJ
ajst-22376	114	16	fault	fault	NOUN
ajst-22376	114	17	diagnosis	diagnosis	NOUN
ajst-22376	114	18	using	use	VERB
ajst-22376	114	19	computational	computational	ADJ
ajst-22376	114	20	intelligence	intelligence	NOUN
ajst-22376	114	21	techniques	technique	NOUN
ajst-22376	114	22	in	in	ADP
ajst-22376	114	23	linear	linear	PROPN
ajst-22376	114	24	filter	filter	NOUN
ajst-22376	114	25	circuit[j	circuit[j	NOUN
ajst-22376	114	26	]	]	X
ajst-22376	114	27	.	.	PUNCT
ajst-22376	115	1	journal	journal	PROPN
ajst-22376	115	2	of	of	ADP
ajst-22376	115	3	ambient	ambient	ADJ
ajst-22376	115	4	intelligence	intelligence	NOUN
ajst-22376	115	5	and	and	CCONJ
ajst-22376	115	6	humanized	humanize	VERB
ajst-22376	115	7	computing	computing	NOUN
ajst-22376	115	8	,	,	PUNCT
ajst-22376	115	9	2020	2020	NUM
ajst-22376	115	10	,	,	PUNCT
ajst-22376	115	11	11(2	11(2	NUM
ajst-22376	115	12	):	):	PUNCT
ajst-22376	115	13	55335545	55335545	NUM
ajst-22376	115	14	.	.	PUNCT
ajst-22376	116	1	[	[	X
ajst-22376	116	2	12	12	NUM
ajst-22376	116	3	]	]	X
ajst-22376	116	4	long	long	ADJ
ajst-22376	116	5	bing	bing	NOUN
ajst-22376	116	6	,	,	PUNCT
ajst-22376	116	7	li	li	PROPN
ajst-22376	116	8	min	min	PROPN
ajst-22376	116	9	,	,	PUNCT
ajst-22376	116	10	wang	wang	PROPN
ajst-22376	116	11	houjun	houjun	PROPN
ajst-22376	116	12	,	,	PUNCT
ajst-22376	116	13	et	et	PROPN
ajst-22376	116	14	al	al	PROPN
ajst-22376	116	15	.	.	PUNCT
ajst-22376	117	1	diagnostics	diagnostic	NOUN
ajst-22376	117	2	of	of	ADP
ajst-22376	117	3	analog	analog	ADJ
ajst-22376	117	4	circuits	circuit	NOUN
ajst-22376	117	5	based	base	VERB
ajst-22376	117	6	on	on	ADP
ajst-22376	117	7	ls	ls	ADJ
ajst-22376	117	8	-	-	PUNCT
ajst-22376	117	9	svm	svm	NOUN
ajst-22376	117	10	using	use	VERB
ajst-22376	117	11	time	time	NOUN
ajst-22376	117	12	-	-	PUNCT
ajst-22376	117	13	domain	domain	NOUN
ajst-22376	117	14	features	feature	NOUN
ajst-22376	117	15	.	.	PUNCT
ajst-22376	118	1	circuits	circuit	NOUN
ajst-22376	118	2	systems	systems	PROPN
ajst-22376	118	3	&	&	CCONJ
ajst-22376	118	4	signal	signal	PROPN
ajst-22376	118	5	processing	processing	NOUN
ajst-22376	118	6	,	,	PUNCT
ajst-22376	118	7	2013	2013	NUM
ajst-22376	118	8	,	,	PUNCT
ajst-22376	118	9	32(6	32(6	NUM
ajst-22376	118	10	):	):	PUNCT
ajst-22376	118	11	2683	2683	NUM
ajst-22376	118	12	-	-	SYM
ajst-22376	118	13	2706	2706	NUM
ajst-22376	118	14	.	.	PUNCT
ajst-22376	119	1	[	[	X
ajst-22376	119	2	13	13	NUM
ajst-22376	119	3	]	]	X
ajst-22376	119	4	long	long	ADJ
ajst-22376	119	5	bing	bing	NOUN
ajst-22376	119	6	,	,	PUNCT
ajst-22376	119	7	xian	xian	PROPN
ajst-22376	119	8	weiming	weime	VERB
ajst-22376	119	9	,	,	PUNCT
ajst-22376	119	10	li	li	PROPN
ajst-22376	119	11	min	min	PROPN
ajst-22376	119	12	,	,	PUNCT
ajst-22376	119	13	et	et	PROPN
ajst-22376	119	14	al	al	PROPN
ajst-22376	119	15	.	.	PROPN
ajst-22376	119	16	improved	improve	VERB
ajst-22376	119	17	diagnostics	diagnostic	NOUN
ajst-22376	119	18	for	for	ADP
ajst-22376	119	19	the	the	DET
ajst-22376	119	20	incipient	incipient	ADJ
ajst-22376	119	21	faults	fault	NOUN
ajst-22376	119	22	in	in	ADP
ajst-22376	119	23	analog	analog	NOUN
ajst-22376	119	24	circuits	circuit	NOUN
ajst-22376	119	25	using	use	VERB
ajst-22376	119	26	lssvm	lssvm	NOUN
ajst-22376	119	27	based	base	VERB
ajst-22376	119	28	on	on	ADP
ajst-22376	119	29	pso	pso	NOUN
ajst-22376	119	30	algorithm	algorithm	NOUN
ajst-22376	119	31	with	with	ADP
ajst-22376	119	32	mahalanobis	mahalanobis	ADJ
ajst-22376	119	33	distance	distance	NOUN
ajst-22376	119	34	.	.	PUNCT
ajst-22376	120	1	neurocomputing	neurocomputing	NOUN
ajst-22376	120	2	,	,	PUNCT
ajst-22376	120	3	2014	2014	NUM
ajst-22376	120	4	,	,	PUNCT
ajst-22376	120	5	133	133	NUM
ajst-22376	120	6	:	:	SYM
ajst-22376	120	7	237	237	NUM
ajst-22376	120	8	-	-	SYM
ajst-22376	120	9	248	248	NUM
ajst-22376	120	10	.	.	PUNCT
ajst-22376	121	1	[	[	X
ajst-22376	121	2	14	14	NUM
ajst-22376	121	3	]	]	X
ajst-22376	121	4	guo	guo	PROPN
ajst-22376	121	5	xiaojie	xiaojie	PROPN
ajst-22376	121	6	,	,	PUNCT
ajst-22376	121	7	chen	chen	PROPN
ajst-22376	121	8	liang	liang	PROPN
ajst-22376	121	9	,	,	PUNCT
ajst-22376	121	10	shen	shen	PROPN
ajst-22376	121	11	changqing	changqe	VERB
ajst-22376	121	12	.	.	PUNCT
ajst-22376	122	1	hierarchical	hierarchical	ADJ
ajst-22376	122	2	adaptive	adaptive	ADJ
ajst-22376	122	3	deep	deep	ADJ
ajst-22376	122	4	convolution	convolution	NOUN
ajst-22376	122	5	neural	neural	ADJ
ajst-22376	122	6	network	network	NOUN
ajst-22376	122	7	and	and	CCONJ
ajst-22376	122	8	its	its	PRON
ajst-22376	122	9	application	application	NOUN
ajst-22376	122	10	to	to	ADP
ajst-22376	122	11	bearing	bear	VERB
ajst-22376	122	12	fault	fault	NOUN
ajst-22376	122	13	diagnosis	diagnosis	NOUN
ajst-22376	122	14	.	.	PUNCT
ajst-22376	123	1	measurement	measurement	NOUN
ajst-22376	123	2	,	,	PUNCT
ajst-22376	123	3	2016	2016	NUM
ajst-22376	123	4	,	,	PUNCT
ajst-22376	123	5	93	93	NUM
ajst-22376	123	6	:	:	PUNCT
ajst-22376	123	7	490	490	NUM
ajst-22376	123	8	-	-	SYM
ajst-22376	123	9	502	502	NUM
ajst-22376	123	10	.	.	PUNCT
ajst-22376	124	1	[	[	X
ajst-22376	124	2	15	15	NUM
ajst-22376	124	3	]	]	X
ajst-22376	124	4	shao	shao	PROPN
ajst-22376	124	5	haidong	haidong	PROPN
ajst-22376	124	6	,	,	PUNCT
ajst-22376	124	7	jiang	jiang	PROPN
ajst-22376	124	8	hongkai	hongkai	PROPN
ajst-22376	124	9	,	,	PUNCT
ajst-22376	124	10	wang	wang	PROPN
ajst-22376	124	11	fuan	fuan	PROPN
ajst-22376	124	12	,	,	PUNCT
ajst-22376	124	13	et	et	PROPN
ajst-22376	124	14	al	al	PROPN
ajst-22376	124	15	.	.	PUNCT
ajst-22376	125	1	rolling	roll	VERB
ajst-22376	125	2	bearing	bear	VERB
ajst-22376	125	3	fault	fault	NOUN
ajst-22376	125	4	diagnosis	diagnosis	NOUN
ajst-22376	125	5	using	use	VERB
ajst-22376	125	6	adaptive	adaptive	ADJ
ajst-22376	125	7	deep	deep	ADJ
ajst-22376	125	8	belief	belief	NOUN
ajst-22376	125	9	network	network	NOUN
ajst-22376	125	10	with	with	ADP
ajst-22376	125	11	dual	dual	ADJ
ajst-22376	125	12	-	-	PUNCT
ajst-22376	125	13	tree	tree	NOUN
ajst-22376	125	14	complex	complex	ADJ
ajst-22376	125	15	wavelet	wavelet	NOUN
ajst-22376	125	16	packet	packet	NOUN
ajst-22376	125	17	.	.	PUNCT
ajst-22376	126	1	isa	isa	NOUN
ajst-22376	126	2	transactions	transaction	NOUN
ajst-22376	126	3	,	,	PUNCT
ajst-22376	126	4	2017	2017	NUM
ajst-22376	126	5	,	,	PUNCT
ajst-22376	126	6	69	69	NUM
ajst-22376	126	7	:	:	SYM
ajst-22376	126	8	187	187	NUM
ajst-22376	126	9	-	-	SYM
ajst-22376	126	10	201	201	NUM
ajst-22376	126	11	.	.	PUNCT
ajst-22376	127	1	[	[	X
ajst-22376	127	2	16	16	NUM
ajst-22376	127	3	]	]	X
ajst-22376	127	4	fang	fang	X
ajst-22376	127	5	fen	fen	PROPN
ajst-22376	127	6	,	,	PUNCT
ajst-22376	127	7	li	li	PROPN
ajst-22376	127	8	liyuan	liyuan	PROPN
ajst-22376	127	9	,	,	PUNCT
ajst-22376	127	10	gu	gu	PROPN
ajst-22376	127	11	ying	ying	PROPN
ajst-22376	127	12	,	,	PUNCT
ajst-22376	127	13	et	et	PROPN
ajst-22376	127	14	al	al	PROPN
ajst-22376	127	15	.	.	PUNCT
ajst-22376	128	1	a	a	DET
ajst-22376	128	2	novel	novel	ADJ
ajst-22376	128	3	hybrid	hybrid	NOUN
ajst-22376	128	4	approach	approach	NOUN
ajst-22376	128	5	for	for	ADP
ajst-22376	128	6	crack	crack	NOUN
ajst-22376	128	7	detection	detection	NOUN
ajst-22376	128	8	.	.	PUNCT
ajst-22376	129	1	pattern	pattern	NOUN
ajst-22376	129	2	recognition	recognition	NOUN
ajst-22376	129	3	,	,	PUNCT
ajst-22376	129	4	2020	2020	NUM
ajst-22376	129	5	,	,	PUNCT
ajst-22376	129	6	107	107	NUM
ajst-22376	129	7	:	:	PUNCT
ajst-22376	129	8	107474	107474	NUM
ajst-22376	129	9	.	.	PUNCT
ajst-22376	130	1	[	[	X
ajst-22376	130	2	17	17	NUM
ajst-22376	130	3	]	]	X
ajst-22376	130	4	zhao	zhao	PROPN
ajst-22376	130	5	guangquan	guangquan	PROPN
ajst-22376	130	6	,	,	PUNCT
ajst-22376	130	7	liu	liu	PROPN
ajst-22376	130	8	xiaoyong	xiaoyong	PROPN
ajst-22376	130	9	,	,	PUNCT
ajst-22376	130	10	zhang	zhang	PROPN
ajst-22376	130	11	bin	bin	PROPN
ajst-22376	130	12	,	,	PUNCT
ajst-22376	130	13	et	et	PROPN
ajst-22376	130	14	al	al	PROPN
ajst-22376	130	15	.	.	PUNCT
ajst-22376	131	1	a	a	DET
ajst-22376	131	2	novel	novel	ADJ
ajst-22376	131	3	approach	approach	NOUN
ajst-22376	131	4	for	for	ADP
ajst-22376	131	5	analog	analog	NOUN
ajst-22376	131	6	circuit	circuit	NOUN
ajst-22376	131	7	fault	fault	NOUN
ajst-22376	131	8	diagnosis	diagnosis	NOUN
ajst-22376	131	9	based	base	VERB
ajst-22376	131	10	on	on	ADP
ajst-22376	131	11	deep	deep	ADJ
ajst-22376	131	12	belief	belief	NOUN
ajst-22376	131	13	network	network	NOUN
ajst-22376	131	14	.	.	PUNCT
ajst-22376	132	1	measurement	measurement	NOUN
ajst-22376	132	2	,	,	PUNCT
ajst-22376	132	3	2018	2018	NUM
ajst-22376	132	4	,	,	PUNCT
ajst-22376	132	5	121	121	NUM
ajst-22376	132	6	:	:	SYM
ajst-22376	132	7	170	170	NUM
ajst-22376	132	8	-	-	SYM
ajst-22376	132	9	178	178	NUM
ajst-22376	132	10	.	.	PUNCT
ajst-22376	133	1	[	[	X
ajst-22376	133	2	18	18	NUM
ajst-22376	133	3	]	]	X
ajst-22376	133	4	liu	liu	PROPN
ajst-22376	133	5	zhenbao	zhenbao	PROPN
ajst-22376	133	6	,	,	PUNCT
ajst-22376	133	7	jia	jia	PROPN
ajst-22376	133	8	zhen	zhen	PROPN
ajst-22376	133	9	,	,	PUNCT
ajst-22376	133	10	vong	vong	ADJ
ajst-22376	133	11	chi	chi	PROPN
ajst-22376	133	12	-	-	PUNCT
ajst-22376	133	13	man	man	NOUN
ajst-22376	133	14	,	,	PUNCT
ajst-22376	133	15	et	et	PROPN
ajst-22376	133	16	al	al	PROPN
ajst-22376	133	17	.	.	PUNCT
ajst-22376	133	18	capturing	capture	VERB
ajst-22376	133	19	highdiscriminative	highdiscriminative	ADJ
ajst-22376	133	20	fault	fault	NOUN
ajst-22376	133	21	features	feature	NOUN
ajst-22376	133	22	for	for	ADP
ajst-22376	133	23	electronics	electronic	NOUN
ajst-22376	133	24	-	-	PUNCT
ajst-22376	133	25	rich	rich	ADJ
ajst-22376	133	26	analog	analog	NOUN
ajst-22376	133	27	system	system	NOUN
ajst-22376	133	28	via	via	ADP
ajst-22376	133	29	deep	deep	ADJ
ajst-22376	133	30	learning	learning	NOUN
ajst-22376	133	31	.	.	PUNCT
ajst-22376	134	1	ieee	ieee	NOUN
ajst-22376	134	2	transactions	transaction	NOUN
ajst-22376	134	3	on	on	ADP
ajst-22376	134	4	industrial	industrial	ADJ
ajst-22376	134	5	informatics	informatic	NOUN
ajst-22376	134	6	,	,	PUNCT
ajst-22376	134	7	2017	2017	NUM
ajst-22376	134	8	,	,	PUNCT
ajst-22376	134	9	1(3	1(3	NUM
ajst-22376	134	10	):	):	PUNCT
ajst-22376	134	11	1213	1213	NUM
ajst-22376	134	12	-	-	SYM
ajst-22376	134	13	1226	1226	NUM
ajst-22376	134	14	.	.	PUNCT
ajst-22376	135	1	[	[	X
ajst-22376	135	2	19	19	NUM
ajst-22376	135	3	]	]	PUNCT
ajst-22376	135	4	coello	coello	PROPN
ajst-22376	135	5	carlos	carlos	PROPN
ajst-22376	135	6	a.	a.	PROPN
ajst-22376	135	7	coello	coello	PROPN
ajst-22376	135	8	,	,	PUNCT
ajst-22376	135	9	pulido	pulido	PROPN
ajst-22376	135	10	gregorio	gregorio	PROPN
ajst-22376	135	11	toscano	toscano	PROPN
ajst-22376	135	12	,	,	PUNCT
ajst-22376	135	13	lechuga	lechuga	PROPN
ajst-22376	135	14	maximino	maximino	PROPN
ajst-22376	135	15	salazar	salazar	PROPN
ajst-22376	135	16	.	.	PUNCT
ajst-22376	136	1	handling	handle	VERB
ajst-22376	136	2	multiple	multiple	ADJ
ajst-22376	136	3	objectives	objective	NOUN
ajst-22376	136	4	with	with	ADP
ajst-22376	136	5	particle	particle	NOUN
ajst-22376	136	6	swarm	swarm	NOUN
ajst-22376	136	7	optimization[j	optimization[j	NOUN
ajst-22376	136	8	]	]	PUNCT
ajst-22376	136	9	.	.	PUNCT
ajst-22376	137	1	ieee	ieee	PROPN
ajst-22376	137	2	trans	trans	PROPN
ajst-22376	137	3	evolutionary	evolutionary	ADJ
ajst-22376	137	4	computation	computation	NOUN
ajst-22376	137	5	.	.	PUNCT
ajst-22376	138	1	2004	2004	NUM
ajst-22376	138	2	,	,	PUNCT
ajst-22376	138	3	8(3	8(3	NUM
ajst-22376	138	4	):	):	PUNCT
ajst-22376	138	5	256	256	NUM
ajst-22376	138	6	-	-	SYM
ajst-22376	138	7	279	279	NUM
ajst-22376	138	8	.	.	PUNCT