id	sid	tid	token	lemma	pos
fcis-9970	1	1	frontiers	frontier	NOUN
fcis-9970	1	2	in	in	ADP
fcis-9970	1	3	computing	computing	NOUN
fcis-9970	1	4	and	and	CCONJ
fcis-9970	1	5	intelligent	intelligent	ADJ
fcis-9970	1	6	systems	system	NOUN
fcis-9970	1	7	issn	issn	VERB
fcis-9970	1	8	:	:	PUNCT
fcis-9970	1	9	2832	2832	NUM
fcis-9970	1	10	-	-	SYM
fcis-9970	1	11	6024	6024	NUM
fcis-9970	1	12	|	|	NOUN
fcis-9970	1	13	vol	vol	NOUN
fcis-9970	1	14	.	.	PROPN
fcis-9970	2	1	4	4	NUM
fcis-9970	2	2	,	,	PUNCT
fcis-9970	2	3	no	no	INTJ
fcis-9970	2	4	.	.	NOUN
fcis-9970	2	5	2	2	NUM
fcis-9970	2	6	,	,	PUNCT
fcis-9970	2	7	2023	2023	NUM
fcis-9970	2	8	53	53	NUM
fcis-9970	2	9	fault	fault	NOUN
fcis-9970	2	10	diagnosis	diagnosis	NOUN
fcis-9970	2	11	of	of	ADP
fcis-9970	2	12	hydraulic	hydraulic	ADJ
fcis-9970	2	13	system	system	NOUN
fcis-9970	2	14	based	base	VERB
fcis-9970	2	15	on	on	ADP
fcis-9970	2	16	som	som	PROPN
fcis-9970	2	17	neural	neural	ADJ
fcis-9970	2	18	network	network	NOUN
fcis-9970	2	19	ji	ji	PROPN
fcis-9970	2	20	chen	chen	PROPN
fcis-9970	2	21	1	1	NUM
fcis-9970	2	22	,	,	PUNCT
fcis-9970	2	23	ao	ao	PROPN
fcis-9970	2	24	xiao	xiao	PROPN
fcis-9970	2	25	1	1	PROPN
fcis-9970	2	26	,	,	PUNCT
fcis-9970	2	27	zhihui	zhihui	PROPN
fcis-9970	2	28	li	li	PROPN
fcis-9970	2	29	1	1	NUM
fcis-9970	2	30	,	,	PUNCT
fcis-9970	2	31	jiaqing	jiaqe	VERB
fcis-9970	2	32	liu	liu	PROPN
fcis-9970	2	33	1	1	NUM
fcis-9970	2	34	,	,	PUNCT
fcis-9970	2	35	mengyuan	mengyuan	PROPN
fcis-9970	2	36	feng	feng	PROPN
fcis-9970	2	37	1	1	NUM
fcis-9970	3	1	,	,	PUNCT
fcis-9970	3	2	hao	hao	PROPN
fcis-9970	3	3	xue	xue	PROPN
fcis-9970	3	4	1	1	NUM
fcis-9970	3	5	,	,	PUNCT
fcis-9970	3	6	siwen	siwen	NOUN
fcis-9970	3	7	gu	gu	NOUN
fcis-9970	3	8	1	1	NUM
fcis-9970	3	9	,	,	PUNCT
fcis-9970	3	10	2	2	NUM
fcis-9970	3	11	,	,	PUNCT
fcis-9970	3	12	*	*	NUM
fcis-9970	3	13	1	1	NUM
fcis-9970	3	14	school	school	NOUN
fcis-9970	3	15	of	of	ADP
fcis-9970	3	16	optoelectronic	optoelectronic	ADJ
fcis-9970	3	17	engineering	engineering	NOUN
fcis-9970	3	18	,	,	PUNCT
fcis-9970	3	19	changzhou	changzhou	PROPN
fcis-9970	3	20	institute	institute	PROPN
fcis-9970	3	21	of	of	ADP
fcis-9970	3	22	technology	technology	PROPN
fcis-9970	3	23	,	,	PUNCT
fcis-9970	3	24	jiangsu	jiangsu	PROPN
fcis-9970	3	25	,	,	PUNCT
fcis-9970	3	26	213302	213302	NUM
fcis-9970	3	27	,	,	PUNCT
fcis-9970	3	28	china	china	PROPN
fcis-9970	3	29	2	2	NUM
fcis-9970	3	30	school	school	NOUN
fcis-9970	3	31	of	of	ADP
fcis-9970	3	32	chemical	chemical	PROPN
fcis-9970	3	33	engineering	engineering	NOUN
fcis-9970	3	34	,	,	PUNCT
fcis-9970	3	35	dalian	dalian	PROPN
fcis-9970	3	36	university	university	PROPN
fcis-9970	3	37	of	of	ADP
fcis-9970	3	38	technology	technology	NOUN
fcis-9970	3	39	,	,	PUNCT
fcis-9970	3	40	liaoning	liaoning	PROPN
fcis-9970	3	41	,	,	PUNCT
fcis-9970	3	42	116024	116024	NUM
fcis-9970	3	43	,	,	PUNCT
fcis-9970	3	44	china	china	PROPN
fcis-9970	3	45	abstract	abstract	PROPN
fcis-9970	3	46	:	:	PUNCT
fcis-9970	3	47	the	the	DET
fcis-9970	3	48	working	work	VERB
fcis-9970	3	49	principle	principle	NOUN
fcis-9970	3	50	of	of	ADP
fcis-9970	3	51	hydraulic	hydraulic	ADJ
fcis-9970	3	52	system	system	NOUN
fcis-9970	3	53	is	be	AUX
fcis-9970	3	54	to	to	PART
fcis-9970	3	55	use	use	VERB
fcis-9970	3	56	the	the	DET
fcis-9970	3	57	flow	flow	NOUN
fcis-9970	3	58	and	and	CCONJ
fcis-9970	3	59	pressure	pressure	NOUN
fcis-9970	3	60	of	of	ADP
fcis-9970	3	61	liquid	liquid	NOUN
fcis-9970	3	62	in	in	ADP
fcis-9970	3	63	the	the	DET
fcis-9970	3	64	system	system	NOUN
fcis-9970	3	65	for	for	ADP
fcis-9970	3	66	energy	energy	NOUN
fcis-9970	3	67	transfer	transfer	NOUN
fcis-9970	3	68	and	and	CCONJ
fcis-9970	3	69	conversion	conversion	NOUN
fcis-9970	3	70	.	.	PUNCT
fcis-9970	4	1	hydraulic	hydraulic	ADJ
fcis-9970	4	2	system	system	NOUN
fcis-9970	4	3	realizes	realize	VERB
fcis-9970	4	4	various	various	ADJ
fcis-9970	4	5	work	work	NOUN
fcis-9970	4	6	tasks	task	NOUN
fcis-9970	4	7	such	such	ADJ
fcis-9970	4	8	as	as	ADP
fcis-9970	4	9	pushing	push	VERB
fcis-9970	4	10	,	,	PUNCT
fcis-9970	4	11	grasping	grasp	VERB
fcis-9970	4	12	,	,	PUNCT
fcis-9970	4	13	lifting	lifting	NOUN
fcis-9970	4	14	,	,	PUNCT
fcis-9970	4	15	rotating	rotating	NOUN
fcis-9970	4	16	,	,	PUNCT
fcis-9970	4	17	etc	etc	X
fcis-9970	4	18	.	.	X
fcis-9970	4	19	by	by	ADP
fcis-9970	4	20	controlling	control	VERB
fcis-9970	4	21	the	the	DET
fcis-9970	4	22	action	action	NOUN
fcis-9970	4	23	of	of	ADP
fcis-9970	4	24	hydraulic	hydraulic	ADJ
fcis-9970	4	25	actuators	actuator	NOUN
fcis-9970	4	26	.	.	PUNCT
fcis-9970	5	1	its	its	PRON
fcis-9970	5	2	advantages	advantage	NOUN
fcis-9970	5	3	are	be	AUX
fcis-9970	5	4	high	high	ADJ
fcis-9970	5	5	power	power	NOUN
fcis-9970	5	6	density	density	NOUN
fcis-9970	5	7	,	,	PUNCT
fcis-9970	5	8	good	good	ADJ
fcis-9970	5	9	stability	stability	NOUN
fcis-9970	5	10	,	,	PUNCT
fcis-9970	5	11	fast	fast	ADJ
fcis-9970	5	12	response	response	NOUN
fcis-9970	5	13	time	time	NOUN
fcis-9970	5	14	,	,	PUNCT
fcis-9970	5	15	smooth	smooth	ADJ
fcis-9970	5	16	power	power	NOUN
fcis-9970	5	17	output	output	NOUN
fcis-9970	5	18	,	,	PUNCT
fcis-9970	5	19	etc	etc	X
fcis-9970	5	20	.	.	X
fcis-9970	6	1	the	the	DET
fcis-9970	6	2	disadvantage	disadvantage	NOUN
fcis-9970	6	3	is	be	AUX
fcis-9970	6	4	that	that	SCONJ
fcis-9970	6	5	the	the	DET
fcis-9970	6	6	hydraulic	hydraulic	ADJ
fcis-9970	6	7	system	system	NOUN
fcis-9970	6	8	is	be	AUX
fcis-9970	6	9	easy	easy	ADJ
fcis-9970	6	10	to	to	PART
fcis-9970	6	11	lose	lose	VERB
fcis-9970	6	12	control	control	NOUN
fcis-9970	6	13	of	of	ADP
fcis-9970	6	14	more	more	ADJ
fcis-9970	6	15	points	point	NOUN
fcis-9970	6	16	.	.	PUNCT
fcis-9970	7	1	in	in	ADP
fcis-9970	7	2	this	this	DET
fcis-9970	7	3	paper	paper	NOUN
fcis-9970	7	4	,	,	PUNCT
fcis-9970	7	5	taking	take	VERB
fcis-9970	7	6	the	the	DET
fcis-9970	7	7	horizontal	horizontal	ADJ
fcis-9970	7	8	outrigger	outrigger	NOUN
fcis-9970	7	9	hydraulic	hydraulic	NOUN
fcis-9970	7	10	circuit	circuit	NOUN
fcis-9970	7	11	as	as	ADP
fcis-9970	7	12	an	an	DET
fcis-9970	7	13	example	example	NOUN
fcis-9970	7	14	,	,	PUNCT
fcis-9970	7	15	the	the	DET
fcis-9970	7	16	hydraulic	hydraulic	ADJ
fcis-9970	7	17	pump	pump	NOUN
fcis-9970	7	18	leakage	leakage	NOUN
fcis-9970	7	19	,	,	PUNCT
fcis-9970	7	20	etc	etc	X
fcis-9970	7	21	.	.	X
fcis-9970	7	22	is	be	AUX
fcis-9970	7	23	used	use	VERB
fcis-9970	7	24	as	as	ADP
fcis-9970	7	25	a	a	DET
fcis-9970	7	26	fault	fault	NOUN
fcis-9970	7	27	sample	sample	NOUN
fcis-9970	7	28	,	,	PUNCT
fcis-9970	7	29	and	and	CCONJ
fcis-9970	7	30	the	the	DET
fcis-9970	7	31	som	som	NOUN
fcis-9970	7	32	neural	neural	ADJ
fcis-9970	7	33	network	network	NOUN
fcis-9970	7	34	is	be	AUX
fcis-9970	7	35	used	use	VERB
fcis-9970	7	36	for	for	ADP
fcis-9970	7	37	fault	fault	NOUN
fcis-9970	7	38	diagnosis	diagnosis	NOUN
fcis-9970	7	39	to	to	PART
fcis-9970	7	40	make	make	VERB
fcis-9970	7	41	timely	timely	ADJ
fcis-9970	7	42	and	and	CCONJ
fcis-9970	7	43	accurate	accurate	ADJ
fcis-9970	7	44	diagnosis	diagnosis	NOUN
fcis-9970	7	45	of	of	ADP
fcis-9970	7	46	the	the	DET
fcis-9970	7	47	abnormal	abnormal	ADJ
fcis-9970	7	48	or	or	CCONJ
fcis-9970	7	49	fault	fault	VERB
fcis-9970	7	50	state	state	NOUN
fcis-9970	7	51	of	of	ADP
fcis-9970	7	52	the	the	DET
fcis-9970	7	53	hydraulic	hydraulic	ADJ
fcis-9970	7	54	system	system	NOUN
fcis-9970	7	55	,	,	PUNCT
fcis-9970	7	56	give	give	VERB
fcis-9970	7	57	guidance	guidance	NOUN
fcis-9970	7	58	on	on	ADP
fcis-9970	7	59	the	the	DET
fcis-9970	7	60	operation	operation	NOUN
fcis-9970	7	61	of	of	ADP
fcis-9970	7	62	the	the	DET
fcis-9970	7	63	hydraulic	hydraulic	ADJ
fcis-9970	7	64	system	system	NOUN
fcis-9970	7	65	,	,	PUNCT
fcis-9970	7	66	improve	improve	VERB
fcis-9970	7	67	the	the	DET
fcis-9970	7	68	reliability	reliability	NOUN
fcis-9970	7	69	and	and	CCONJ
fcis-9970	7	70	safety	safety	NOUN
fcis-9970	7	71	of	of	ADP
fcis-9970	7	72	operation	operation	NOUN
fcis-9970	7	73	,	,	PUNCT
fcis-9970	7	74	and	and	CCONJ
fcis-9970	7	75	reduce	reduce	VERB
fcis-9970	7	76	the	the	DET
fcis-9970	7	77	fault	fault	NOUN
fcis-9970	7	78	loss	loss	NOUN
fcis-9970	7	79	to	to	ADP
fcis-9970	7	80	a	a	DET
fcis-9970	7	81	minimum	minimum	NOUN
fcis-9970	7	82	.	.	PUNCT
fcis-9970	8	1	keywords	keyword	NOUN
fcis-9970	8	2	:	:	PUNCT
fcis-9970	8	3	fault	fault	VERB
fcis-9970	8	4	diagnosis	diagnosis	NOUN
fcis-9970	8	5	;	;	PUNCT
fcis-9970	8	6	neural	neural	ADJ
fcis-9970	8	7	network	network	NOUN
fcis-9970	8	8	;	;	PUNCT
fcis-9970	8	9	hydraulic	hydraulic	ADJ
fcis-9970	8	10	system	system	NOUN
fcis-9970	8	11	.	.	PUNCT
fcis-9970	9	1	1	1	X
fcis-9970	9	2	.	.	X
fcis-9970	9	3	problem	problem	NOUN
fcis-9970	9	4	description	description	NOUN
fcis-9970	9	5	figure	figure	NOUN
fcis-9970	9	6	1	1	NUM
fcis-9970	9	7	.	.	PUNCT
fcis-9970	9	8	schematic	schematic	ADJ
fcis-9970	9	9	diagram	diagram	NOUN
fcis-9970	9	10	of	of	ADP
fcis-9970	9	11	horizontal	horizontal	ADJ
fcis-9970	9	12	outrigger	outrigger	NOUN
fcis-9970	9	13	hydraulic	hydraulic	NOUN
fcis-9970	9	14	circuit	circuit	NOUN
fcis-9970	9	15	a	a	DET
fcis-9970	9	16	horizontal	horizontal	ADJ
fcis-9970	9	17	outrigger	outrigger	NOUN
fcis-9970	9	18	hydraulic	hydraulic	NOUN
fcis-9970	9	19	circuit	circuit	NOUN
fcis-9970	9	20	of	of	ADP
fcis-9970	9	21	a	a	DET
fcis-9970	9	22	construction	construction	NOUN
fcis-9970	9	23	machine	machine	NOUN
fcis-9970	9	24	was	be	AUX
fcis-9970	9	25	applied	apply	VERB
fcis-9970	9	26	as	as	ADP
fcis-9970	9	27	a	a	DET
fcis-9970	9	28	test	test	NOUN
fcis-9970	9	29	device	device	NOUN
fcis-9970	9	30	to	to	PART
fcis-9970	9	31	verify	verify	VERB
fcis-9970	9	32	the	the	DET
fcis-9970	9	33	application	application	NOUN
fcis-9970	9	34	of	of	ADP
fcis-9970	9	35	som	som	PROPN
fcis-9970	9	36	neural	neural	ADJ
fcis-9970	9	37	network	network	NOUN
fcis-9970	9	38	in	in	ADP
fcis-9970	9	39	fault	fault	NOUN
fcis-9970	9	40	diagnosis	diagnosis	NOUN
fcis-9970	9	41	.	.	PUNCT
fcis-9970	10	1	the	the	DET
fcis-9970	10	2	schematic	schematic	ADJ
fcis-9970	10	3	structure	structure	NOUN
fcis-9970	10	4	of	of	ADP
fcis-9970	10	5	the	the	DET
fcis-9970	10	6	horizontal	horizontal	ADJ
fcis-9970	10	7	outrigger	outrigger	NOUN
fcis-9970	10	8	hydraulic	hydraulic	NOUN
fcis-9970	10	9	circuit	circuit	NOUN
fcis-9970	10	10	is	be	AUX
fcis-9970	10	11	shown	show	VERB
fcis-9970	10	12	in	in	ADP
fcis-9970	10	13	figure	figure	NOUN
fcis-9970	10	14	1	1	NUM
fcis-9970	10	15	.	.	PUNCT
fcis-9970	11	1	sensors	sensor	NOUN
fcis-9970	11	2	are	be	AUX
fcis-9970	11	3	used	use	VERB
fcis-9970	11	4	to	to	PART
fcis-9970	11	5	monitor	monitor	VERB
fcis-9970	11	6	the	the	DET
fcis-9970	11	7	output	output	NOUN
fcis-9970	11	8	values	value	NOUN
fcis-9970	11	9	of	of	ADP
fcis-9970	11	10	the	the	DET
fcis-9970	11	11	various	various	ADJ
fcis-9970	11	12	test	test	NOUN
fcis-9970	11	13	points	point	NOUN
fcis-9970	11	14	when	when	SCONJ
fcis-9970	11	15	the	the	DET
fcis-9970	11	16	equipment	equipment	NOUN
fcis-9970	11	17	failure	failure	NOUN
fcis-9970	11	18	occurs	occur	VERB
fcis-9970	11	19	.	.	PUNCT
fcis-9970	12	1	their	their	PRON
fcis-9970	12	2	measurement	measurement	NOUN
fcis-9970	12	3	results	result	NOUN
fcis-9970	12	4	are	be	AUX
fcis-9970	12	5	listed	list	VERB
fcis-9970	12	6	in	in	ADP
fcis-9970	12	7	table	table	NOUN
fcis-9970	12	8	1	1	NUM
fcis-9970	12	9	.	.	PUNCT
fcis-9970	13	1	the	the	DET
fcis-9970	13	2	main	main	ADJ
fcis-9970	13	3	role	role	NOUN
fcis-9970	13	4	of	of	ADP
fcis-9970	13	5	the	the	DET
fcis-9970	13	6	horizontal	horizontal	ADJ
fcis-9970	13	7	outrigger	outrigger	NOUN
fcis-9970	13	8	hydraulic	hydraulic	NOUN
fcis-9970	13	9	circuit	circuit	NOUN
fcis-9970	13	10	is	be	AUX
fcis-9970	13	11	used	use	VERB
fcis-9970	13	12	to	to	PART
fcis-9970	13	13	support	support	VERB
fcis-9970	13	14	and	and	CCONJ
fcis-9970	13	15	stabilize	stabilize	VERB
fcis-9970	13	16	the	the	DET
fcis-9970	13	17	balance	balance	NOUN
fcis-9970	13	18	of	of	ADP
fcis-9970	13	19	large	large	ADJ
fcis-9970	13	20	machinery	machinery	NOUN
fcis-9970	13	21	and	and	CCONJ
fcis-9970	13	22	equipment	equipment	NOUN
fcis-9970	13	23	or	or	CCONJ
fcis-9970	13	24	vehicles	vehicle	NOUN
fcis-9970	13	25	.	.	PUNCT
fcis-9970	14	1	the	the	DET
fcis-9970	14	2	working	working	NOUN
fcis-9970	14	3	process	process	NOUN
fcis-9970	14	4	is	be	AUX
fcis-9970	14	5	that	that	SCONJ
fcis-9970	14	6	the	the	DET
fcis-9970	14	7	hydraulic	hydraulic	ADJ
fcis-9970	14	8	pump	pump	NOUN
fcis-9970	14	9	pushes	push	VERB
fcis-9970	14	10	the	the	DET
fcis-9970	14	11	liquid	liquid	NOUN
fcis-9970	14	12	to	to	ADP
fcis-9970	14	13	the	the	DET
fcis-9970	14	14	hydraulic	hydraulic	ADJ
fcis-9970	14	15	cylinder	cylinder	NOUN
fcis-9970	14	16	through	through	ADP
fcis-9970	14	17	high	high	ADJ
fcis-9970	14	18	pressure	pressure	NOUN
fcis-9970	14	19	,	,	PUNCT
fcis-9970	14	20	and	and	CCONJ
fcis-9970	14	21	the	the	DET
fcis-9970	14	22	piston	piston	NOUN
fcis-9970	14	23	moves	move	VERB
fcis-9970	14	24	accordingly	accordingly	ADV
fcis-9970	14	25	to	to	PART
fcis-9970	14	26	achieve	achieve	VERB
fcis-9970	14	27	the	the	DET
fcis-9970	14	28	expansion	expansion	NOUN
fcis-9970	14	29	and	and	CCONJ
fcis-9970	14	30	contraction	contraction	NOUN
fcis-9970	14	31	of	of	ADP
fcis-9970	14	32	the	the	DET
fcis-9970	14	33	horizontal	horizontal	ADJ
fcis-9970	14	34	leg	leg	NOUN
fcis-9970	14	35	to	to	PART
fcis-9970	14	36	maintain	maintain	VERB
fcis-9970	14	37	the	the	DET
fcis-9970	14	38	balance	balance	NOUN
fcis-9970	14	39	.	.	PUNCT
fcis-9970	15	1	by	by	ADP
fcis-9970	15	2	controlling	control	VERB
fcis-9970	15	3	the	the	DET
fcis-9970	15	4	opening	opening	NOUN
fcis-9970	15	5	and	and	CCONJ
fcis-9970	15	6	closing	closing	NOUN
fcis-9970	15	7	of	of	ADP
fcis-9970	15	8	the	the	DET
fcis-9970	15	9	valve	valve	NOUN
fcis-9970	15	10	and	and	CCONJ
fcis-9970	15	11	relief	relief	NOUN
fcis-9970	15	12	valve	valve	NOUN
fcis-9970	15	13	,	,	PUNCT
fcis-9970	15	14	the	the	DET
fcis-9970	15	15	flow	flow	NOUN
fcis-9970	15	16	and	and	CCONJ
fcis-9970	15	17	pressure	pressure	NOUN
fcis-9970	15	18	of	of	ADP
fcis-9970	15	19	the	the	DET
fcis-9970	15	20	fluid	fluid	NOUN
fcis-9970	15	21	can	can	AUX
fcis-9970	15	22	be	be	AUX
fcis-9970	15	23	adjusted	adjust	VERB
fcis-9970	15	24	to	to	ADP
fcis-9970	15	25	precisely	precisely	ADV
fcis-9970	15	26	control	control	VERB
fcis-9970	15	27	and	and	CCONJ
fcis-9970	15	28	stabilize	stabilize	VERB
fcis-9970	15	29	the	the	DET
fcis-9970	15	30	horizontal	horizontal	ADJ
fcis-9970	15	31	legs	leg	NOUN
fcis-9970	15	32	.	.	PUNCT
fcis-9970	16	1	in	in	ADP
fcis-9970	16	2	figure	figure	NOUN
fcis-9970	16	3	1	1	NUM
fcis-9970	16	4	,	,	PUNCT
fcis-9970	16	5	1	1	NUM
fcis-9970	16	6	is	be	AUX
fcis-9970	16	7	the	the	DET
fcis-9970	16	8	hydraulic	hydraulic	ADJ
fcis-9970	16	9	pump	pump	NOUN
fcis-9970	16	10	,	,	PUNCT
fcis-9970	16	11	2	2	NUM
fcis-9970	16	12	,	,	PUNCT
fcis-9970	16	13	3	3	NUM
fcis-9970	16	14	is	be	AUX
fcis-9970	16	15	the	the	DET
fcis-9970	16	16	relief	relief	NOUN
fcis-9970	16	17	valve	valve	NOUN
fcis-9970	16	18	,	,	PUNCT
fcis-9970	16	19	3	3	NUM
fcis-9970	16	20	is	be	AUX
fcis-9970	16	21	the	the	DET
fcis-9970	16	22	check	check	NOUN
fcis-9970	16	23	valve	valve	NOUN
fcis-9970	16	24	,	,	PUNCT
fcis-9970	16	25	4	4	NUM
fcis-9970	16	26	is	be	AUX
fcis-9970	16	27	the	the	DET
fcis-9970	16	28	solenoid	solenoid	NOUN
fcis-9970	16	29	reversing	reverse	VERB
fcis-9970	16	30	valve	valve	NOUN
fcis-9970	16	31	,	,	PUNCT
fcis-9970	16	32	6	6	NUM
fcis-9970	16	33	is	be	AUX
fcis-9970	16	34	the	the	DET
fcis-9970	16	35	outrigger	outrigger	NOUN
fcis-9970	16	36	hydraulic	hydraulic	ADJ
fcis-9970	16	37	cylinder	cylinder	NOUN
fcis-9970	16	38	.	.	PUNCT
fcis-9970	17	1	there	there	PRON
fcis-9970	17	2	are	be	VERB
fcis-9970	17	3	eight	eight	NUM
fcis-9970	17	4	common	common	ADJ
fcis-9970	17	5	causes	cause	NOUN
fcis-9970	17	6	of	of	ADP
fcis-9970	17	7	failure	failure	NOUN
fcis-9970	17	8	in	in	ADP
fcis-9970	17	9	this	this	DET
fcis-9970	17	10	hydraulic	hydraulic	ADJ
fcis-9970	17	11	system	system	NOUN
fcis-9970	17	12	,	,	PUNCT
fcis-9970	17	13	which	which	PRON
fcis-9970	17	14	are	be	AUX
fcis-9970	17	15	leakage	leakage	NOUN
fcis-9970	17	16	of	of	ADP
fcis-9970	17	17	hydraulic	hydraulic	ADJ
fcis-9970	17	18	pump	pump	NOUN
fcis-9970	17	19	,	,	PUNCT
fcis-9970	17	20	blockage	blockage	NOUN
fcis-9970	17	21	of	of	ADP
fcis-9970	17	22	screen	screen	NOUN
fcis-9970	17	23	,	,	PUNCT
fcis-9970	17	24	burned	burn	VERB
fcis-9970	17	25	solenoid	solenoid	NOUN
fcis-9970	17	26	valve	valve	NOUN
fcis-9970	17	27	,	,	PUNCT
fcis-9970	17	28	damage	damage	NOUN
fcis-9970	17	29	of	of	ADP
fcis-9970	17	30	outlet	outlet	NOUN
fcis-9970	17	31	relief	relief	NOUN
fcis-9970	17	32	valve	valve	NOUN
fcis-9970	17	33	of	of	ADP
fcis-9970	17	34	reversing	reverse	VERB
fcis-9970	17	35	valve	valve	NOUN
fcis-9970	17	36	,	,	PUNCT
fcis-9970	17	37	blockage	blockage	NOUN
fcis-9970	17	38	of	of	ADP
fcis-9970	17	39	damping	damp	VERB
fcis-9970	17	40	hole	hole	NOUN
fcis-9970	17	41	or	or	CCONJ
fcis-9970	17	42	spring	spring	NOUN
fcis-9970	17	43	of	of	ADP
fcis-9970	17	44	system	system	NOUN
fcis-9970	17	45	safety	safety	NOUN
fcis-9970	17	46	valve	valve	NOUN
fcis-9970	17	47	,	,	PUNCT
fcis-9970	17	48	blockage	blockage	NOUN
fcis-9970	17	49	of	of	ADP
fcis-9970	17	50	damping	damp	VERB
fcis-9970	17	51	hole	hole	NOUN
fcis-9970	17	52	of	of	ADP
fcis-9970	17	53	pressure	pressure	NOUN
fcis-9970	17	54	compensation	compensation	NOUN
fcis-9970	17	55	valve	valve	NOUN
fcis-9970	17	56	,	,	PUNCT
fcis-9970	17	57	leakage	leakage	NOUN
fcis-9970	17	58	in	in	ADP
fcis-9970	17	59	hydraulic	hydraulic	ADJ
fcis-9970	17	60	cylinder	cylinder	NOUN
fcis-9970	17	61	and	and	CCONJ
fcis-9970	17	62	overload	overload	NOUN
fcis-9970	17	63	of	of	ADP
fcis-9970	17	64	hydraulic	hydraulic	ADJ
fcis-9970	17	65	pump	pump	NOUN
fcis-9970	17	66	.	.	PUNCT
fcis-9970	18	1	as	as	SCONJ
fcis-9970	18	2	shown	show	VERB
fcis-9970	18	3	in	in	ADP
fcis-9970	18	4	table	table	NOUN
fcis-9970	18	5	1	1	NUM
fcis-9970	18	6	,	,	PUNCT
fcis-9970	18	7	this	this	DET
fcis-9970	18	8	paper	paper	NOUN
fcis-9970	18	9	collects	collect	VERB
fcis-9970	18	10	eight	eight	NUM
fcis-9970	18	11	fault	fault	NOUN
fcis-9970	18	12	samples	sample	NOUN
fcis-9970	18	13	,	,	PUNCT
fcis-9970	18	14	each	each	PRON
fcis-9970	18	15	containing	contain	VERB
fcis-9970	18	16	ten	ten	NUM
fcis-9970	18	17	features	feature	NOUN
fcis-9970	18	18	,	,	PUNCT
fcis-9970	18	19	in	in	ADP
fcis-9970	18	20	addition	addition	NOUN
fcis-9970	18	21	to	to	ADP
fcis-9970	18	22	two	two	NUM
fcis-9970	18	23	fault	fault	NOUN
fcis-9970	18	24	states	state	NOUN
fcis-9970	18	25	to	to	PART
fcis-9970	18	26	be	be	AUX
fcis-9970	18	27	identified	identify	VERB
fcis-9970	18	28	as	as	SCONJ
fcis-9970	18	29	shown	show	VERB
fcis-9970	18	30	in	in	ADP
fcis-9970	18	31	table	table	NOUN
fcis-9970	18	32	2	2	NUM
fcis-9970	18	33	.	.	PUNCT
fcis-9970	18	34	table	table	NOUN
fcis-9970	18	35	1	1	NUM
fcis-9970	18	36	.	.	PUNCT
fcis-9970	18	37	hydraulic	hydraulic	ADJ
fcis-9970	18	38	system	system	NOUN
fcis-9970	18	39	standard	standard	ADJ
fcis-9970	18	40	failure	failure	NOUN
fcis-9970	18	41	samples	sample	NOUN
fcis-9970	18	42	cause	cause	NOUN
fcis-9970	18	43	of	of	ADP
fcis-9970	18	44	failure	failure	NOUN
fcis-9970	18	45	q1	q1	PROPN
fcis-9970	18	46	q2	q2	PROPN
fcis-9970	18	47	q3	q3	PROPN
fcis-9970	18	48	p1	p1	PROPN
fcis-9970	18	49	p2	p2	PROPN
fcis-9970	18	50	p3	p3	PROPN
fcis-9970	18	51	p4	p4	ADJ
fcis-9970	18	52	p5	p5	ADJ
fcis-9970	18	53	u	u	NOUN
fcis-9970	18	54	i	i	PRON
fcis-9970	18	55	hydraulic	hydraulic	ADJ
fcis-9970	18	56	pump	pump	VERB
fcis-9970	18	57	leakage	leakage	NOUN
fcis-9970	18	58	10	10	NUM
fcis-9970	18	59	9	9	NUM
fcis-9970	18	60	1	1	NUM
fcis-9970	18	61	5	5	NUM
fcis-9970	18	62	0.05	0.05	NUM
fcis-9970	18	63	5	5	NUM
fcis-9970	18	64	0	0	NUM
fcis-9970	18	65	5	5	NUM
fcis-9970	18	66	24	24	NUM
fcis-9970	18	67	2	2	NUM
fcis-9970	18	68	filter	filter	NOUN
fcis-9970	18	69	blockage	blockage	NOUN
fcis-9970	18	70	28	28	NUM
fcis-9970	18	71	26	26	NUM
fcis-9970	18	72	2	2	NUM
fcis-9970	18	73	15	15	NUM
fcis-9970	18	74	0.5	0.5	NUM
fcis-9970	18	75	15	15	NUM
fcis-9970	18	76	0	0	NUM
fcis-9970	18	77	15	15	NUM
fcis-9970	18	78	24	24	NUM
fcis-9970	18	79	2	2	NUM
fcis-9970	18	80	solenoid	solenoid	NOUN
fcis-9970	18	81	valve	valve	NOUN
fcis-9970	18	82	burned	burn	VERB
fcis-9970	18	83	out	out	ADP
fcis-9970	18	84	28	28	NUM
fcis-9970	18	85	0	0	NUM
fcis-9970	18	86	2	2	NUM
fcis-9970	18	87	18	18	NUM
fcis-9970	18	88	0.05	0.05	NUM
fcis-9970	18	89	17.5	17.5	NUM
fcis-9970	18	90	0	0	NUM
fcis-9970	18	91	0	0	NUM
fcis-9970	18	92	24	24	NUM
fcis-9970	18	93	2	2	NUM
fcis-9970	18	94	damage	damage	NOUN
fcis-9970	18	95	to	to	ADP
fcis-9970	18	96	the	the	DET
fcis-9970	18	97	outlet	outlet	NOUN
fcis-9970	18	98	relief	relief	NOUN
fcis-9970	18	99	valve	valve	NOUN
fcis-9970	18	100	of	of	ADP
fcis-9970	18	101	the	the	DET
fcis-9970	18	102	reversing	reversing	NOUN
fcis-9970	18	103	valve	valve	NOUN
fcis-9970	18	104	28	28	NUM
fcis-9970	18	105	26	26	NUM
fcis-9970	19	1	2	2	NUM
fcis-9970	19	2	15	15	NUM
fcis-9970	19	3	0.05	0.05	NUM
fcis-9970	19	4	17.5	17.5	NUM
fcis-9970	19	5	0	0	NUM
fcis-9970	19	6	17.5	17.5	NUM
fcis-9970	19	7	24	24	NUM
fcis-9970	19	8	2	2	NUM
fcis-9970	19	9	system	system	NOUN
fcis-9970	19	10	safety	safety	NOUN
fcis-9970	19	11	valve	valve	NOUN
fcis-9970	19	12	damping	damp	VERB
fcis-9970	19	13	hole	hole	NOUN
fcis-9970	19	14	blockage	blockage	NOUN
fcis-9970	19	15	or	or	CCONJ
fcis-9970	19	16	spring	spring	NOUN
fcis-9970	19	17	damage	damage	NOUN
fcis-9970	19	18	28	28	NUM
fcis-9970	19	19	0	0	SYM
fcis-9970	19	20	0	0	NUM
fcis-9970	19	21	18	18	NUM
fcis-9970	19	22	0	0	NUM
fcis-9970	19	23	18	18	NUM
fcis-9970	19	24	0	0	NUM
fcis-9970	19	25	16	16	NUM
fcis-9970	19	26	24	24	NUM
fcis-9970	19	27	2	2	NUM
fcis-9970	19	28	pressure	pressure	NOUN
fcis-9970	19	29	compensation	compensation	NOUN
fcis-9970	19	30	valve	valve	NOUN
fcis-9970	19	31	damping	damp	VERB
fcis-9970	19	32	hole	hole	NOUN
fcis-9970	19	33	blockage	blockage	NOUN
fcis-9970	19	34	28	28	NUM
fcis-9970	19	35	26	26	NUM
fcis-9970	19	36	2	2	NUM
fcis-9970	19	37	15	15	NUM
fcis-9970	19	38	0.5	0.5	NUM
fcis-9970	19	39	15	15	NUM
fcis-9970	19	40	0	0	NUM
fcis-9970	19	41	15	15	NUM
fcis-9970	19	42	24	24	NUM
fcis-9970	19	43	2	2	NUM
fcis-9970	19	44	leakage	leakage	NOUN
fcis-9970	19	45	in	in	ADP
fcis-9970	19	46	the	the	DET
fcis-9970	19	47	hydraulic	hydraulic	ADJ
fcis-9970	19	48	cylinder	cylinder	NOUN
fcis-9970	19	49	28	28	NUM
fcis-9970	19	50	28	28	NUM
fcis-9970	19	51	0	0	NUM
fcis-9970	19	52	15	15	NUM
fcis-9970	19	53	0.05	0.05	NUM
fcis-9970	19	54	15	15	NUM
fcis-9970	19	55	0	0	NUM
fcis-9970	19	56	15	15	NUM
fcis-9970	19	57	24	24	NUM
fcis-9970	19	58	2	2	NUM
fcis-9970	19	59	hydraulic	hydraulic	NOUN
fcis-9970	19	60	pump	pump	NOUN
fcis-9970	19	61	overload	overload	NOUN
fcis-9970	19	62	28	28	NUM
fcis-9970	19	63	26	26	NUM
fcis-9970	19	64	2	2	NUM
fcis-9970	19	65	15	15	NUM
fcis-9970	19	66	0.05	0.05	NUM
fcis-9970	19	67	15	15	NUM
fcis-9970	19	68	0	0	NUM
fcis-9970	19	69	10	10	NUM
fcis-9970	19	70	24	24	NUM
fcis-9970	19	71	2	2	NUM
fcis-9970	19	72	6	6	NUM
fcis-9970	19	73	5	5	NUM
fcis-9970	19	74	4	4	NUM
fcis-9970	19	75	3	3	NUM
fcis-9970	19	76	2	2	NUM
fcis-9970	19	77	1	1	NUM
fcis-9970	19	78	9	9	NUM
fcis-9970	19	79	10	10	NUM
fcis-9970	19	80	8	8	NUM
fcis-9970	19	81	q3	q3	PROPN
fcis-9970	19	82	q2	q2	PROPN
fcis-9970	19	83	q1	q1	PROPN
fcis-9970	19	84	p2	p2	PROPN
fcis-9970	19	85	p1	p1	PROPN
fcis-9970	19	86	p5	p5	PROPN
fcis-9970	19	87	p3	p3	PROPN
fcis-9970	19	88	p4	p4	ADJ
fcis-9970	19	89	u1	u1	NOUN
fcis-9970	19	90	7	7	NUM
fcis-9970	19	91	54	54	NUM
fcis-9970	19	92	table	table	NOUN
fcis-9970	19	93	2	2	NUM
fcis-9970	19	94	.	.	PUNCT
fcis-9970	20	1	fault	fault	VERB
fcis-9970	20	2	samples	sample	NOUN
fcis-9970	20	3	to	to	PART
fcis-9970	20	4	be	be	AUX
fcis-9970	20	5	tested	test	VERB
fcis-9970	20	6	number	number	NOUN
fcis-9970	20	7	q1	q1	PROPN
fcis-9970	20	8	q2	q2	PROPN
fcis-9970	20	9	q3	q3	PROPN
fcis-9970	20	10	p1	p1	PROPN
fcis-9970	20	11	p2	p2	PROPN
fcis-9970	20	12	p3	p3	PROPN
fcis-9970	20	13	p4	p4	ADJ
fcis-9970	20	14	p5	p5	ADJ
fcis-9970	20	15	u	u	NOUN
fcis-9970	20	16	i	i	PRON
fcis-9970	20	17	d1	d1	VERB
fcis-9970	20	18	26	26	NUM
fcis-9970	21	1	26	26	NUM
fcis-9970	21	2	0	0	NUM
fcis-9970	21	3	12	12	NUM
fcis-9970	21	4	0.04	0.04	NUM
fcis-9970	21	5	14	14	NUM
fcis-9970	21	6	0.08	0.08	NUM
fcis-9970	21	7	14	14	NUM
fcis-9970	21	8	21	21	NUM
fcis-9970	21	9	19	19	NUM
fcis-9970	21	10	d2	d2	PROPN
fcis-9970	21	11	25	25	NUM
fcis-9970	21	12	24	24	NUM
fcis-9970	21	13	1.6	1.6	NUM
fcis-9970	21	14	18	18	NUM
fcis-9970	21	15	0.05	0.05	NUM
fcis-9970	21	16	16	16	NUM
fcis-9970	21	17	0.002	0.002	NUM
fcis-9970	21	18	16	16	NUM
fcis-9970	21	19	25	25	NUM
fcis-9970	21	20	19	19	NUM
fcis-9970	21	21	2	2	NUM
fcis-9970	21	22	.	.	PUNCT
fcis-9970	21	23	fault	fault	VERB
fcis-9970	21	24	diagnosis	diagnosis	NOUN
fcis-9970	21	25	steps	step	NOUN
fcis-9970	21	26	based	base	VERB
fcis-9970	21	27	on	on	ADP
fcis-9970	21	28	som	som	PROPN
fcis-9970	21	29	neural	neural	ADJ
fcis-9970	21	30	network	network	NOUN
fcis-9970	21	31	the	the	DET
fcis-9970	21	32	application	application	NOUN
fcis-9970	21	33	of	of	ADP
fcis-9970	21	34	som	som	PROPN
fcis-9970	21	35	neural	neural	ADJ
fcis-9970	21	36	networks	network	NOUN
fcis-9970	21	37	in	in	ADP
fcis-9970	21	38	fault	fault	NOUN
fcis-9970	21	39	diagnosis	diagnosis	NOUN
fcis-9970	21	40	is	be	AUX
fcis-9970	21	41	generally	generally	ADV
fcis-9970	21	42	divided	divide	VERB
fcis-9970	21	43	into	into	ADP
fcis-9970	21	44	the	the	DET
fcis-9970	21	45	following	follow	VERB
fcis-9970	21	46	steps	step	NOUN
fcis-9970	21	47	[	[	X
fcis-9970	21	48	1	1	NUM
fcis-9970	21	49	-	-	SYM
fcis-9970	21	50	5	5	NUM
fcis-9970	21	51	]	]	PUNCT
fcis-9970	21	52	:	:	PUNCT
fcis-9970	21	53	1	1	X
fcis-9970	21	54	.	.	X
fcis-9970	21	55	common	common	ADJ
fcis-9970	21	56	fault	fault	NOUN
fcis-9970	21	57	types	type	NOUN
fcis-9970	21	58	are	be	AUX
fcis-9970	21	59	selected	select	VERB
fcis-9970	21	60	to	to	PART
fcis-9970	21	61	extract	extract	VERB
fcis-9970	21	62	fault	fault	NOUN
fcis-9970	21	63	features	feature	NOUN
fcis-9970	21	64	.	.	PUNCT
fcis-9970	22	1	each	each	DET
fcis-9970	22	2	type	type	NOUN
fcis-9970	22	3	contains	contain	VERB
fcis-9970	22	4	feature	feature	NOUN
fcis-9970	22	5	values	value	NOUN
fcis-9970	22	6	that	that	PRON
fcis-9970	22	7	are	be	AUX
fcis-9970	22	8	used	use	VERB
fcis-9970	22	9	to	to	PART
fcis-9970	22	10	characterize	characterize	VERB
fcis-9970	22	11	the	the	DET
fcis-9970	22	12	faults	fault	NOUN
fcis-9970	22	13	.	.	PUNCT
fcis-9970	23	1	2	2	X
fcis-9970	23	2	.	.	X
fcis-9970	23	3	build	build	VERB
fcis-9970	23	4	som	som	NOUN
fcis-9970	23	5	neural	neural	ADJ
fcis-9970	23	6	network	network	NOUN
fcis-9970	23	7	and	and	CCONJ
fcis-9970	23	8	train	train	NOUN
fcis-9970	23	9	on	on	ADP
fcis-9970	23	10	common	common	ADJ
fcis-9970	23	11	fault	fault	NOUN
fcis-9970	23	12	types	type	NOUN
fcis-9970	23	13	.	.	PUNCT
fcis-9970	24	1	during	during	ADP
fcis-9970	24	2	training	training	NOUN
fcis-9970	24	3	,	,	PUNCT
fcis-9970	24	4	input	input	NOUN
fcis-9970	24	5	feature	feature	NOUN
fcis-9970	24	6	values	value	NOUN
fcis-9970	24	7	and	and	CCONJ
fcis-9970	24	8	get	get	VERB
fcis-9970	24	9	the	the	DET
fcis-9970	24	10	similarity	similarity	NOUN
fcis-9970	24	11	between	between	ADP
fcis-9970	24	12	neurons	neuron	NOUN
fcis-9970	24	13	and	and	CCONJ
fcis-9970	24	14	feature	feature	NOUN
fcis-9970	24	15	values	value	NOUN
fcis-9970	24	16	.	.	PUNCT
fcis-9970	25	1	after	after	SCONJ
fcis-9970	25	2	the	the	DET
fcis-9970	25	3	training	training	NOUN
fcis-9970	25	4	is	be	AUX
fcis-9970	25	5	completed	complete	VERB
fcis-9970	25	6	,	,	PUNCT
fcis-9970	25	7	label	label	VERB
fcis-9970	25	8	the	the	DET
fcis-9970	25	9	standard	standard	ADJ
fcis-9970	25	10	output	output	NOUN
fcis-9970	25	11	neurons	neuron	NOUN
fcis-9970	25	12	.	.	PUNCT
fcis-9970	26	1	repeat	repeat	VERB
fcis-9970	26	2	the	the	DET
fcis-9970	26	3	above	above	ADJ
fcis-9970	26	4	process	process	NOUN
fcis-9970	26	5	so	so	SCONJ
fcis-9970	26	6	that	that	SCONJ
fcis-9970	26	7	the	the	DET
fcis-9970	26	8	neural	neural	ADJ
fcis-9970	26	9	network	network	NOUN
fcis-9970	26	10	can	can	AUX
fcis-9970	26	11	learn	learn	VERB
fcis-9970	26	12	and	and	CCONJ
fcis-9970	26	13	adapt	adapt	VERB
fcis-9970	26	14	to	to	ADP
fcis-9970	26	15	various	various	ADJ
fcis-9970	26	16	fault	fault	NOUN
fcis-9970	26	17	types	type	NOUN
fcis-9970	26	18	.	.	PUNCT
fcis-9970	27	1	3	3	X
fcis-9970	27	2	.	.	X
fcis-9970	27	3	input	input	VERB
fcis-9970	27	4	the	the	DET
fcis-9970	27	5	data	datum	NOUN
fcis-9970	27	6	to	to	PART
fcis-9970	27	7	be	be	AUX
fcis-9970	27	8	tested	test	VERB
fcis-9970	27	9	into	into	ADP
fcis-9970	27	10	the	the	DET
fcis-9970	27	11	som	som	NOUN
fcis-9970	27	12	neural	neural	ADJ
fcis-9970	27	13	network	network	NOUN
fcis-9970	27	14	after	after	SCONJ
fcis-9970	27	15	the	the	DET
fcis-9970	27	16	training	training	NOUN
fcis-9970	27	17	is	be	AUX
fcis-9970	27	18	completed	complete	VERB
fcis-9970	27	19	for	for	ADP
fcis-9970	27	20	testing	testing	NOUN
fcis-9970	27	21	.	.	PUNCT
fcis-9970	28	1	4	4	X
fcis-9970	28	2	.	.	X
fcis-9970	28	3	compare	compare	VERB
fcis-9970	28	4	the	the	DET
fcis-9970	28	5	position	position	NOUN
fcis-9970	28	6	of	of	ADP
fcis-9970	28	7	the	the	DET
fcis-9970	28	8	standard	standard	ADJ
fcis-9970	28	9	output	output	NOUN
fcis-9970	28	10	neuron	neuron	NOUN
fcis-9970	28	11	with	with	ADP
fcis-9970	28	12	the	the	DET
fcis-9970	28	13	position	position	NOUN
fcis-9970	28	14	of	of	ADP
fcis-9970	28	15	the	the	DET
fcis-9970	28	16	output	output	NOUN
fcis-9970	28	17	neuron	neuron	NOUN
fcis-9970	28	18	of	of	ADP
fcis-9970	28	19	the	the	DET
fcis-9970	28	20	sample	sample	NOUN
fcis-9970	28	21	to	to	PART
fcis-9970	28	22	be	be	AUX
fcis-9970	28	23	tested	test	VERB
fcis-9970	28	24	.	.	PUNCT
fcis-9970	29	1	5	5	X
fcis-9970	29	2	.	.	X
fcis-9970	29	3	determine	determine	VERB
fcis-9970	29	4	the	the	DET
fcis-9970	29	5	fault	fault	NOUN
fcis-9970	29	6	type	type	NOUN
fcis-9970	29	7	based	base	VERB
fcis-9970	29	8	on	on	ADP
fcis-9970	29	9	neuron	neuron	NOUN
fcis-9970	29	10	positions	position	NOUN
fcis-9970	29	11	.	.	PUNCT
fcis-9970	30	1	the	the	DET
fcis-9970	30	2	flow	flow	NOUN
fcis-9970	30	3	chart	chart	NOUN
fcis-9970	30	4	of	of	ADP
fcis-9970	30	5	the	the	DET
fcis-9970	30	6	algorithm	algorithm	NOUN
fcis-9970	30	7	is	be	AUX
fcis-9970	30	8	shown	show	VERB
fcis-9970	30	9	in	in	ADP
fcis-9970	30	10	figure	figure	NOUN
fcis-9970	30	11	2	2	NUM
fcis-9970	30	12	.	.	PUNCT
fcis-9970	31	1	relying	rely	VERB
fcis-9970	31	2	on	on	ADP
fcis-9970	31	3	the	the	DET
fcis-9970	31	4	matlab	matlab	PROPN
fcis-9970	31	5	software	software	NOUN
fcis-9970	31	6	platform	platform	NOUN
fcis-9970	31	7	,	,	PUNCT
fcis-9970	31	8	click	click	VERB
fcis-9970	31	9	import	import	NOUN
fcis-9970	31	10	data	datum	NOUN
fcis-9970	31	11	on	on	ADP
fcis-9970	31	12	the	the	DET
fcis-9970	31	13	menu	menu	NOUN
fcis-9970	31	14	bar	bar	NOUN
fcis-9970	31	15	,	,	PUNCT
fcis-9970	31	16	select	select	VERB
fcis-9970	31	17	the	the	DET
fcis-9970	31	18	data	data	NOUN
fcis-9970	31	19	file	file	NOUN
fcis-9970	31	20	(	(	PUNCT
fcis-9970	31	21	e.g.	e.g.	ADV
fcis-9970	31	22	,	,	PUNCT
fcis-9970	31	23	.txt	.txt	ADJ
fcis-9970	31	24	format	format	NOUN
fcis-9970	31	25	)	)	PUNCT
fcis-9970	31	26	to	to	PART
fcis-9970	31	27	be	be	AUX
fcis-9970	31	28	imported	import	VERB
fcis-9970	31	29	,	,	PUNCT
fcis-9970	31	30	and	and	CCONJ
fcis-9970	31	31	then	then	ADV
fcis-9970	31	32	convert	convert	VERB
fcis-9970	31	33	it	it	PRON
fcis-9970	31	34	to	to	ADP
fcis-9970	31	35	.	.	PUNCT
fcis-9970	32	1	mat	mat	NOUN
fcis-9970	32	2	format	format	NOUN
fcis-9970	32	3	.	.	PUNCT
fcis-9970	33	1	click	click	VERB
fcis-9970	33	2	on	on	ADP
fcis-9970	33	3	the	the	DET
fcis-9970	33	4	converted	convert	VERB
fcis-9970	33	5	file	file	NOUN
fcis-9970	33	6	in	in	ADP
fcis-9970	33	7	the	the	DET
fcis-9970	33	8	workspace	workspace	NOUN
fcis-9970	33	9	to	to	PART
fcis-9970	33	10	obtain	obtain	VERB
fcis-9970	33	11	the	the	DET
fcis-9970	33	12	corresponding	corresponding	ADJ
fcis-9970	33	13	data	datum	NOUN
fcis-9970	33	14	[	[	X
fcis-9970	33	15	6	6	NUM
fcis-9970	33	16	-	-	SYM
fcis-9970	33	17	8	8	NUM
fcis-9970	33	18	]	]	PUNCT
fcis-9970	33	19	.	.	PUNCT
fcis-9970	34	1	be	be	AUX
fcis-9970	34	2	sure	sure	ADJ
fcis-9970	34	3	to	to	PART
fcis-9970	34	4	save	save	VERB
fcis-9970	34	5	the	the	DET
fcis-9970	34	6	converted	converted	ADJ
fcis-9970	34	7	file	file	NOUN
fcis-9970	34	8	to	to	ADP
fcis-9970	34	9	the	the	DET
fcis-9970	34	10	correct	correct	ADJ
fcis-9970	34	11	folder	folder	NOUN
fcis-9970	34	12	.	.	PUNCT
fcis-9970	35	1	the	the	DET
fcis-9970	35	2	steps	step	NOUN
fcis-9970	35	3	are	be	AUX
fcis-9970	35	4	as	as	SCONJ
fcis-9970	35	5	follows	follow	VERB
fcis-9970	35	6	[	[	X
fcis-9970	35	7	9	9	NUM
fcis-9970	35	8	,	,	PUNCT
fcis-9970	35	9	10	10	NUM
fcis-9970	35	10	]	]	SYM
fcis-9970	35	11	:	:	PUNCT
fcis-9970	35	12	1	1	X
fcis-9970	35	13	.	.	X
fcis-9970	35	14	web	web	NOUN
fcis-9970	35	15	sample	sample	NOUN
fcis-9970	35	16	design	design	NOUN
fcis-9970	35	17	from	from	ADP
fcis-9970	35	18	the	the	DET
fcis-9970	35	19	above	above	ADJ
fcis-9970	35	20	table	table	NOUN
fcis-9970	35	21	,	,	PUNCT
fcis-9970	35	22	8	8	NUM
fcis-9970	35	23	fault	fault	NOUN
fcis-9970	35	24	samples	sample	NOUN
fcis-9970	35	25	are	be	AUX
fcis-9970	35	26	obtained	obtain	VERB
fcis-9970	35	27	,	,	PUNCT
fcis-9970	35	28	each	each	PRON
fcis-9970	35	29	with	with	ADP
fcis-9970	35	30	10	10	NUM
fcis-9970	35	31	characteristics	characteristic	NOUN
fcis-9970	35	32	.	.	PUNCT
fcis-9970	36	1	2	2	X
fcis-9970	36	2	.	.	NOUN
fcis-9970	36	3	web	web	NOUN
fcis-9970	36	4	creation	creation	NOUN
fcis-9970	36	5	create	create	VERB
fcis-9970	36	6	a	a	DET
fcis-9970	36	7	som	som	NOUN
fcis-9970	36	8	network	network	NOUN
fcis-9970	36	9	using	use	VERB
fcis-9970	36	10	the	the	DET
fcis-9970	36	11	function	function	NOUN
fcis-9970	36	12	newsom	newsom	PROPN
fcis-9970	36	13	.	.	PUNCT
fcis-9970	37	1	the	the	DET
fcis-9970	37	2	code	code	NOUN
fcis-9970	37	3	is	be	AUX
fcis-9970	37	4	net	net	ADJ
fcis-9970	37	5	=	=	NOUN
fcis-9970	37	6	newsom(minmax(p	newsom(minmax(p	NUM
fcis-9970	37	7	)	)	PUNCT
fcis-9970	37	8	,	,	PUNCT
fcis-9970	38	1	[	[	X
fcis-9970	38	2	10	10	NUM
fcis-9970	38	3	10	10	NUM
fcis-9970	38	4	]	]	PUNCT
fcis-9970	38	5	)	)	PUNCT
fcis-9970	38	6	.	.	PUNCT
fcis-9970	39	1	where	where	SCONJ
fcis-9970	39	2	p	p	NOUN
fcis-9970	39	3	is	be	AUX
fcis-9970	39	4	the	the	DET
fcis-9970	39	5	input	input	NOUN
fcis-9970	39	6	vector	vector	NOUN
fcis-9970	39	7	,	,	PUNCT
fcis-9970	39	8	derived	derive	VERB
fcis-9970	39	9	from	from	ADP
fcis-9970	39	10	the	the	DET
fcis-9970	39	11	table	table	NOUN
fcis-9970	39	12	above	above	ADV
fcis-9970	39	13	.	.	PUNCT
fcis-9970	40	1	the	the	DET
fcis-9970	40	2	minmax(p	minmax(p	PROPN
fcis-9970	40	3	)	)	PUNCT
fcis-9970	40	4	specifies	specify	VERB
fcis-9970	40	5	the	the	DET
fcis-9970	40	6	maximum	maximum	ADJ
fcis-9970	40	7	and	and	CCONJ
fcis-9970	40	8	minimum	minimum	ADJ
fcis-9970	40	9	values	value	NOUN
fcis-9970	40	10	of	of	ADP
fcis-9970	40	11	the	the	DET
fcis-9970	40	12	input	input	NOUN
fcis-9970	40	13	vector	vector	NOUN
fcis-9970	40	14	elements	element	NOUN
fcis-9970	40	15	,	,	PUNCT
fcis-9970	40	16	and	and	CCONJ
fcis-9970	40	17	[	[	X
fcis-9970	40	18	10	10	NUM
fcis-9970	40	19	10	10	NUM
fcis-9970	40	20	]	]	PUNCT
fcis-9970	40	21	indicates	indicate	VERB
fcis-9970	40	22	that	that	SCONJ
fcis-9970	40	23	the	the	DET
fcis-9970	40	24	competitive	competitive	ADJ
fcis-9970	40	25	layer	layer	NOUN
fcis-9970	40	26	of	of	ADP
fcis-9970	40	27	the	the	DET
fcis-9970	40	28	created	create	VERB
fcis-9970	40	29	network	network	NOUN
fcis-9970	40	30	is	be	AUX
fcis-9970	40	31	a	a	DET
fcis-9970	40	32	10	10	NUM
fcis-9970	40	33	×	×	NOUN
fcis-9970	40	34	10	10	NUM
fcis-9970	40	35	structure	structure	NOUN
fcis-9970	40	36	.	.	PUNCT
fcis-9970	41	1	the	the	DET
fcis-9970	41	2	network	network	NOUN
fcis-9970	41	3	structure	structure	NOUN
fcis-9970	41	4	is	be	AUX
fcis-9970	41	5	able	able	ADJ
fcis-9970	41	6	to	to	PART
fcis-9970	41	7	be	be	AUX
fcis-9970	41	8	adjusted	adjust	VERB
fcis-9970	41	9	,	,	PUNCT
fcis-9970	41	10	and	and	CCONJ
fcis-9970	41	11	if	if	SCONJ
fcis-9970	41	12	the	the	DET
fcis-9970	41	13	number	number	NOUN
fcis-9970	41	14	of	of	ADP
fcis-9970	41	15	neuron	neuron	NOUN
fcis-9970	41	16	nodes	node	NOUN
fcis-9970	41	17	is	be	AUX
fcis-9970	41	18	too	too	ADV
fcis-9970	41	19	small	small	ADJ
fcis-9970	41	20	,	,	PUNCT
fcis-9970	41	21	it	it	PRON
fcis-9970	41	22	will	will	AUX
fcis-9970	41	23	be	be	AUX
fcis-9970	41	24	insufficient	insufficient	ADJ
fcis-9970	41	25	to	to	PART
fcis-9970	41	26	distinguish	distinguish	VERB
fcis-9970	41	27	all	all	DET
fcis-9970	41	28	patterns	pattern	NOUN
fcis-9970	41	29	,	,	PUNCT
fcis-9970	41	30	and	and	CCONJ
fcis-9970	41	31	the	the	DET
fcis-9970	41	32	training	training	NOUN
fcis-9970	41	33	results	result	NOUN
fcis-9970	41	34	will	will	AUX
fcis-9970	41	35	inevitably	inevitably	ADV
fcis-9970	41	36	combine	combine	VERB
fcis-9970	41	37	similar	similar	ADJ
fcis-9970	41	38	pattern	pattern	NOUN
fcis-9970	41	39	classes	class	NOUN
fcis-9970	41	40	into	into	ADP
fcis-9970	41	41	one	one	NUM
fcis-9970	41	42	class	class	NOUN
fcis-9970	41	43	.	.	PUNCT
fcis-9970	42	1	the	the	DET
fcis-9970	42	2	sample	sample	NOUN
fcis-9970	42	3	size	size	NOUN
fcis-9970	42	4	here	here	ADV
fcis-9970	42	5	is	be	AUX
fcis-9970	42	6	large	large	ADJ
fcis-9970	42	7	,	,	PUNCT
fcis-9970	42	8	so	so	SCONJ
fcis-9970	42	9	the	the	DET
fcis-9970	42	10	choice	choice	NOUN
fcis-9970	42	11	of	of	ADP
fcis-9970	42	12	such	such	DET
fcis-9970	42	13	a	a	DET
fcis-9970	42	14	competitive	competitive	ADJ
fcis-9970	42	15	layer	layer	NOUN
fcis-9970	42	16	is	be	AUX
fcis-9970	42	17	appropriate	appropriate	ADJ
fcis-9970	42	18	.	.	PUNCT
fcis-9970	43	1	3	3	X
fcis-9970	43	2	.	.	NOUN
fcis-9970	43	3	web	web	NOUN
fcis-9970	43	4	training	training	NOUN
fcis-9970	43	5	and	and	CCONJ
fcis-9970	43	6	testing	testing	NOUN
fcis-9970	43	7	in	in	ADP
fcis-9970	43	8	order	order	NOUN
fcis-9970	43	9	to	to	PART
fcis-9970	43	10	train	train	VERB
fcis-9970	43	11	and	and	CCONJ
fcis-9970	43	12	simulate	simulate	VERB
fcis-9970	43	13	the	the	DET
fcis-9970	43	14	network	network	NOUN
fcis-9970	43	15	,	,	PUNCT
fcis-9970	43	16	this	this	DET
fcis-9970	43	17	paper	paper	NOUN
fcis-9970	43	18	sets	set	VERB
fcis-9970	43	19	different	different	ADJ
fcis-9970	43	20	training	training	NOUN
fcis-9970	43	21	steps	step	NOUN
fcis-9970	43	22	:	:	PUNCT
fcis-9970	43	23	10	10	NUM
fcis-9970	43	24	,	,	PUNCT
fcis-9970	43	25	30	30	NUM
fcis-9970	43	26	,	,	PUNCT
fcis-9970	43	27	50	50	NUM
fcis-9970	43	28	,	,	PUNCT
fcis-9970	43	29	100	100	NUM
fcis-9970	43	30	,	,	PUNCT
fcis-9970	43	31	200	200	NUM
fcis-9970	43	32	,	,	PUNCT
fcis-9970	43	33	500	500	NUM
fcis-9970	43	34	and	and	CCONJ
fcis-9970	43	35	1000	1000	NUM
fcis-9970	43	36	,	,	PUNCT
fcis-9970	43	37	and	and	CCONJ
fcis-9970	43	38	observes	observe	VERB
fcis-9970	43	39	and	and	CCONJ
fcis-9970	43	40	compares	compare	VERB
fcis-9970	43	41	the	the	DET
fcis-9970	43	42	changes	change	NOUN
fcis-9970	43	43	of	of	ADP
fcis-9970	43	44	its	its	PRON
fcis-9970	43	45	weight	weight	NOUN
fcis-9970	43	46	distribution	distribution	NOUN
fcis-9970	43	47	.	.	PUNCT
fcis-9970	44	1	the	the	DET
fcis-9970	44	2	code	code	NOUN
fcis-9970	44	3	for	for	ADP
fcis-9970	44	4	training	training	NOUN
fcis-9970	44	5	10	10	NUM
fcis-9970	44	6	times	time	NOUN
fcis-9970	44	7	is	be	AUX
fcis-9970	44	8	:	:	PUNCT
fcis-9970	44	9	plotsom(net.layers{1}.positions	plotsom(net.layers{1}.position	NOUN
fcis-9970	44	10	)	)	PUNCT
fcis-9970	44	11	a=	a=	VERB
fcis-9970	45	1	[	[	X
fcis-9970	45	2	10	10	NUM
fcis-9970	45	3	30	30	NUM
fcis-9970	45	4	50	50	NUM
fcis-9970	45	5	100	100	NUM
fcis-9970	45	6	200	200	NUM
fcis-9970	45	7	500	500	NUM
fcis-9970	45	8	1000	1000	NUM
fcis-9970	45	9	]	]	PUNCT
fcis-9970	45	10	.	.	PUNCT
fcis-9970	46	1	showing	show	VERB
fcis-9970	46	2	the	the	DET
fcis-9970	46	3	different	different	ADJ
fcis-9970	46	4	number	number	NOUN
fcis-9970	46	5	of	of	ADP
fcis-9970	46	6	times	time	NOUN
fcis-9970	46	7	of	of	ADP
fcis-9970	46	8	7	7	NUM
fcis-9970	46	9	neural	neural	ADJ
fcis-9970	46	10	network	network	NOUN
fcis-9970	46	11	trainings	training	NOUN
fcis-9970	46	12	with	with	ADP
fcis-9970	46	13	placement	placement	NOUN
fcis-9970	46	14	values	value	NOUN
fcis-9970	46	15	of	of	ADP
fcis-9970	46	16	10	10	NUM
fcis-9970	46	17	,	,	PUNCT
fcis-9970	46	18	30	30	NUM
fcis-9970	46	19	,	,	PUNCT
fcis-9970	46	20	100	100	NUM
fcis-9970	46	21	,	,	PUNCT
fcis-9970	46	22	200	200	NUM
fcis-9970	46	23	,	,	PUNCT
fcis-9970	46	24	500	500	NUM
fcis-9970	46	25	and	and	CCONJ
fcis-9970	46	26	1000	1000	NUM
fcis-9970	46	27	times	time	NOUN
fcis-9970	46	28	.	.	PUNCT
fcis-9970	47	1	yc	yc	X
fcis-9970	47	2	=	=	VERB
fcis-9970	47	3	rands(10,8	rands(10,8	VERB
fcis-9970	47	4	)	)	PUNCT
fcis-9970	47	5	;	;	PUNCT
fcis-9970	47	6	setting	set	VERB
fcis-9970	47	7	up	up	ADP
fcis-9970	47	8	a	a	DET
fcis-9970	47	9	random	random	ADJ
fcis-9970	47	10	initialization	initialization	NOUN
fcis-9970	47	11	of	of	ADP
fcis-9970	47	12	a	a	DET
fcis-9970	47	13	1	1	NUM
fcis-9970	47	14	*	*	SYM
fcis-9970	47	15	10	10	NUM
fcis-9970	47	16	vector	vector	NOUN
fcis-9970	47	17	;	;	PUNCT
fcis-9970	47	18	net.trainparam.epochs	net.trainparam.epochs	ADP
fcis-9970	47	19	=	=	NOUN
fcis-9970	47	20	a(1	a(1	NOUN
fcis-9970	47	21	)	)	PUNCT
fcis-9970	47	22	;	;	PUNCT
fcis-9970	47	23	starting	start	VERB
fcis-9970	47	24	training	training	NOUN
fcis-9970	47	25	with	with	ADP
fcis-9970	47	26	a	a	DET
fcis-9970	47	27	training	training	NOUN
fcis-9970	47	28	count	count	NOUN
fcis-9970	47	29	of	of	ADP
fcis-9970	47	30	10	10	NUM
fcis-9970	47	31	;	;	PUNCT
fcis-9970	47	32	net	net	NOUN
fcis-9970	47	33	=	=	NOUN
fcis-9970	47	34	train(net	train(net	NOUN
fcis-9970	47	35	,	,	PUNCT
fcis-9970	47	36	p	p	NOUN
fcis-9970	47	37	)	)	PUNCT
fcis-9970	47	38	;	;	PUNCT
fcis-9970	47	39	y	y	PROPN
fcis-9970	47	40	=	=	NOUN
fcis-9970	47	41	sim(net	sim(net	NOUN
fcis-9970	47	42	,	,	PUNCT
fcis-9970	47	43	p	p	NOUN
fcis-9970	47	44	)	)	PUNCT
fcis-9970	47	45	;	;	PUNCT
fcis-9970	47	46	yc(1,:)=vec2ind(y	yc(1,:)=vec2ind(y	X
fcis-9970	47	47	)	)	PUNCT
fcis-9970	47	48	;	;	PUNCT
fcis-9970	47	49	plotsom(net.iw{1,1},net.layers{1}.distances	plotsom(net.iw{1,1},net.layers{1}.distance	NOUN
fcis-9970	47	50	)	)	PUNCT
fcis-9970	47	51	training	train	VERB
fcis-9970	47	52	the	the	DET
fcis-9970	47	53	web	web	NOUN
fcis-9970	47	54	as	as	ADV
fcis-9970	47	55	well	well	ADV
fcis-9970	47	56	as	as	ADP
fcis-9970	47	57	viewing	view	VERB
fcis-9970	47	58	the	the	DET
fcis-9970	47	59	classification	classification	NOUN
fcis-9970	47	60	,	,	PUNCT
fcis-9970	47	61	the	the	DET
fcis-9970	47	62	classification	classification	NOUN
fcis-9970	47	63	results	result	NOUN
fcis-9970	47	64	are	be	AUX
fcis-9970	47	65	in	in	ADP
fcis-9970	47	66	the	the	DET
fcis-9970	47	67	first	first	ADJ
fcis-9970	47	68	row	row	NOUN
fcis-9970	47	69	of	of	ADP
fcis-9970	47	70	the	the	DET
fcis-9970	47	71	output	output	NOUN
fcis-9970	47	72	result	result	VERB
fcis-9970	48	1	yc	yc	PROPN
fcis-9970	48	2	.	.	PUNCT
fcis-9970	48	3	figure	figure	NOUN
fcis-9970	48	4	2	2	NUM
fcis-9970	48	5	.	.	PUNCT
fcis-9970	49	1	som	som	NOUN
fcis-9970	49	2	neural	neural	ADJ
fcis-9970	49	3	network	network	NOUN
fcis-9970	49	4	algorithm	algorithm	NOUN
fcis-9970	49	5	flow	flow	NOUN
fcis-9970	49	6	chart	chart	NOUN
fcis-9970	49	7	3	3	NUM
fcis-9970	49	8	.	.	PUNCT
fcis-9970	49	9	analysis	analysis	NOUN
fcis-9970	49	10	of	of	ADP
fcis-9970	49	11	results	result	NOUN
fcis-9970	49	12	in	in	ADP
fcis-9970	49	13	the	the	DET
fcis-9970	49	14	matlab	matlab	PROPN
fcis-9970	49	15	simulation	simulation	NOUN
fcis-9970	49	16	experiment	experiment	NOUN
fcis-9970	49	17	,	,	PUNCT
fcis-9970	49	18	the	the	DET
fcis-9970	49	19	som	som	NOUN
fcis-9970	49	20	neural	neural	ADJ
fcis-9970	49	21	network	network	NOUN
fcis-9970	49	22	is	be	AUX
fcis-9970	49	23	created	create	VERB
fcis-9970	49	24	,	,	PUNCT
fcis-9970	49	25	and	and	CCONJ
fcis-9970	49	26	the	the	DET
fcis-9970	49	27	standard	standard	ADJ
fcis-9970	49	28	fault	fault	NOUN
fcis-9970	49	29	samples	sample	NOUN
fcis-9970	49	30	are	be	AUX
fcis-9970	49	31	input	input	NOUN
fcis-9970	49	32	to	to	PART
fcis-9970	49	33	train	train	VERB
fcis-9970	49	34	the	the	DET
fcis-9970	49	35	som	som	NOUN
fcis-9970	49	36	neural	neural	ADJ
fcis-9970	49	37	network	network	NOUN
fcis-9970	49	38	.	.	PUNCT
fcis-9970	50	1	the	the	DET
fcis-9970	50	2	neural	neural	ADJ
fcis-9970	50	3	network	network	NOUN
fcis-9970	50	4	training	training	NOUN
fcis-9970	50	5	process	process	NOUN
fcis-9970	50	6	is	be	AUX
fcis-9970	50	7	shown	show	VERB
fcis-9970	50	8	in	in	ADP
fcis-9970	50	9	figure	figure	NOUN
fcis-9970	50	10	3	3	NUM
fcis-9970	50	11	,	,	PUNCT
fcis-9970	50	12	where	where	SCONJ
fcis-9970	50	13	input	input	NOUN
fcis-9970	50	14	is	be	AUX
fcis-9970	50	15	10	10	NUM
fcis-9970	50	16	,	,	PUNCT
fcis-9970	50	17	indicating	indicate	VERB
fcis-9970	50	18	that	that	SCONJ
fcis-9970	50	19	there	there	PRON
fcis-9970	50	20	are	be	VERB
fcis-9970	50	21	10	10	NUM
fcis-9970	50	22	sample	sample	NOUN
fcis-9970	50	23	sizes	size	NOUN
fcis-9970	50	24	,	,	PUNCT
fcis-9970	50	25	som	som	NOUN
fcis-9970	50	26	topology	topology	PROPN
fcis-9970	50	27	som	som	NOUN
fcis-9970	50	28	is	be	AUX
fcis-9970	50	29	the	the	DET
fcis-9970	50	30	neural	neural	ADJ
fcis-9970	50	31	network	network	NOUN
fcis-9970	50	32	topology	topology	NOUN
fcis-9970	50	33	,	,	PUNCT
fcis-9970	50	34	som	som	NOUN
fcis-9970	50	35	neighbor	neighbor	NOUN
fcis-9970	50	36	connections	connection	NOUN
fcis-9970	50	37	is	be	AUX
fcis-9970	50	38	the	the	DET
fcis-9970	50	39	som	som	NOUN
fcis-9970	50	40	each	each	DET
fcis-9970	50	41	neighborhood	neighborhood	NOUN
fcis-9970	50	42	connection	connection	NOUN
fcis-9970	50	43	,	,	PUNCT
fcis-9970	50	44	som	som	PROPN
fcis-9970	50	45	neighbor	neighbor	PROPN
fcis-9970	50	46	distances	distance	NOUN
fcis-9970	50	47	is	be	AUX
fcis-9970	50	48	the	the	DET
fcis-9970	50	49	distance	distance	NOUN
fcis-9970	50	50	distribution	distribution	NOUN
fcis-9970	50	51	between	between	ADP
fcis-9970	50	52	adjacent	adjacent	ADJ
fcis-9970	50	53	neurons	neuron	NOUN
fcis-9970	50	54	after	after	ADP
fcis-9970	50	55	completing	complete	VERB
fcis-9970	50	56	the	the	DET
fcis-9970	50	57	training	training	NOUN
fcis-9970	50	58	som	som	NOUN
fcis-9970	50	59	input	input	NOUN
fcis-9970	50	60	planes	plane	NOUN
fcis-9970	50	61	are	be	AUX
fcis-9970	50	62	the	the	DET
fcis-9970	50	63	weights	weight	NOUN
fcis-9970	50	64	of	of	ADP
fcis-9970	50	65	each	each	DET
fcis-9970	50	66	output	output	NOUN
fcis-9970	50	67	,	,	PUNCT
fcis-9970	50	68	som	som	NOUN
fcis-9970	50	69	sample	sample	NOUN
fcis-9970	50	70	hits	hit	NOUN
fcis-9970	50	71	are	be	AUX
fcis-9970	50	72	the	the	DET
fcis-9970	50	73	positions	position	NOUN
fcis-9970	50	74	of	of	ADP
fcis-9970	50	75	som	som	PROPN
fcis-9970	50	76	neuron	neuron	PROPN
fcis-9970	50	77	weight	weight	NOUN
fcis-9970	50	78	vectors	vector	NOUN
fcis-9970	50	79	,	,	PUNCT
fcis-9970	50	80	and	and	CCONJ
fcis-9970	50	81	som	som	NOUN
fcis-9970	50	82	weight	weight	NOUN
fcis-9970	50	83	positions	position	NOUN
fcis-9970	50	84	are	be	AUX
fcis-9970	50	85	the	the	DET
fcis-9970	50	86	distribution	distribution	NOUN
fcis-9970	50	87	of	of	ADP
fcis-9970	50	88	each	each	DET
fcis-9970	50	89	neuron	neuron	NOUN
fcis-9970	50	90	.	.	PUNCT
fcis-9970	51	1	figure	figure	VERB
fcis-9970	51	2	3	3	NUM
fcis-9970	51	3	.	.	PUNCT
fcis-9970	51	4	neural	neural	ADJ
fcis-9970	51	5	network	network	NOUN
fcis-9970	51	6	training	training	NOUN
fcis-9970	51	7	process	process	NOUN
fcis-9970	51	8	55	55	NUM
fcis-9970	51	9	the	the	DET
fcis-9970	51	10	results	result	NOUN
fcis-9970	51	11	of	of	ADP
fcis-9970	51	12	the	the	DET
fcis-9970	51	13	operation	operation	NOUN
fcis-9970	51	14	are	be	AUX
fcis-9970	51	15	shown	show	VERB
fcis-9970	51	16	in	in	ADP
fcis-9970	51	17	table	table	NOUN
fcis-9970	51	18	3	3	NUM
fcis-9970	51	19	,	,	PUNCT
fcis-9970	51	20	and	and	CCONJ
fcis-9970	51	21	the	the	DET
fcis-9970	51	22	result	result	NOUN
fcis-9970	51	23	of	of	ADP
fcis-9970	51	24	rr	rr	PROPN
fcis-9970	51	25	is	be	AUX
fcis-9970	51	26	4	4	NUM
fcis-9970	51	27	.	.	PUNCT
fcis-9970	51	28	table	table	NOUN
fcis-9970	51	29	3	3	NUM
fcis-9970	51	30	.	.	PUNCT
fcis-9970	51	31	operation	operation	NOUN
fcis-9970	51	32	results	result	NOUN
fcis-9970	51	33	training	training	NOUN
fcis-9970	51	34	steps	step	NOUN
fcis-9970	51	35	clustering	cluster	VERB
fcis-9970	51	36	results	result	NOUN
fcis-9970	51	37	10	10	NUM
fcis-9970	51	38	80	80	NUM
fcis-9970	51	39	1	1	NUM
fcis-9970	51	40	100	100	NUM
fcis-9970	51	41	1	1	NUM
fcis-9970	51	42	100	100	NUM
fcis-9970	51	43	1	1	NUM
fcis-9970	51	44	1	1	NUM
fcis-9970	51	45	1	1	NUM
fcis-9970	51	46	30	30	NUM
fcis-9970	51	47	99	99	NUM
fcis-9970	51	48	21	21	NUM
fcis-9970	51	49	100	100	NUM
fcis-9970	51	50	1	1	NUM
fcis-9970	51	51	90	90	NUM
fcis-9970	51	52	21	21	NUM
fcis-9970	51	53	2	2	NUM
fcis-9970	51	54	3	3	NUM
fcis-9970	51	55	50	50	NUM
fcis-9970	51	56	99	99	NUM
fcis-9970	51	57	21	21	NUM
fcis-9970	51	58	100	100	NUM
fcis-9970	51	59	21	21	NUM
fcis-9970	51	60	80	80	NUM
fcis-9970	51	61	21	21	NUM
fcis-9970	51	62	3	3	NUM
fcis-9970	51	63	12	12	NUM
fcis-9970	51	64	100	100	NUM
fcis-9970	51	65	20	20	NUM
fcis-9970	51	66	46	46	NUM
fcis-9970	51	67	100	100	NUM
fcis-9970	51	68	91	91	NUM
fcis-9970	51	69	96	96	NUM
fcis-9970	51	70	46	46	NUM
fcis-9970	51	71	45	45	NUM
fcis-9970	51	72	1	1	NUM
fcis-9970	51	73	200	200	NUM
fcis-9970	51	74	80	80	NUM
fcis-9970	51	75	10	10	NUM
fcis-9970	51	76	81	81	NUM
fcis-9970	51	77	1	1	NUM
fcis-9970	51	78	95	95	NUM
fcis-9970	51	79	10	10	NUM
fcis-9970	51	80	5	5	NUM
fcis-9970	51	81	46	46	NUM
fcis-9970	51	82	500	500	NUM
fcis-9970	51	83	96	96	NUM
fcis-9970	51	84	46	46	NUM
fcis-9970	51	85	100	100	NUM
fcis-9970	51	86	41	41	NUM
fcis-9970	51	87	92	92	NUM
fcis-9970	51	88	46	46	NUM
fcis-9970	51	89	2	2	NUM
fcis-9970	51	90	40	40	NUM
fcis-9970	51	91	1000	1000	NUM
fcis-9970	51	92	100	100	NUM
fcis-9970	51	93	26	26	NUM
fcis-9970	51	94	93	93	NUM
fcis-9970	51	95	41	41	NUM
fcis-9970	51	96	76	76	NUM
fcis-9970	51	97	26	26	NUM
fcis-9970	51	98	1	1	NUM
fcis-9970	51	99	10	10	NUM
fcis-9970	51	100	based	base	VERB
fcis-9970	51	101	on	on	ADP
fcis-9970	51	102	the	the	DET
fcis-9970	51	103	results	result	NOUN
fcis-9970	51	104	of	of	ADP
fcis-9970	51	105	the	the	DET
fcis-9970	51	106	above	above	ADJ
fcis-9970	51	107	operation	operation	NOUN
fcis-9970	51	108	,	,	PUNCT
fcis-9970	51	109	it	it	PRON
fcis-9970	51	110	can	can	AUX
fcis-9970	51	111	be	be	AUX
fcis-9970	51	112	seen	see	VERB
fcis-9970	51	113	that	that	SCONJ
fcis-9970	51	114	at	at	ADP
fcis-9970	51	115	a	a	DET
fcis-9970	51	116	training	training	NOUN
fcis-9970	51	117	step	step	NOUN
fcis-9970	51	118	of	of	ADP
fcis-9970	51	119	200	200	NUM
fcis-9970	51	120	,	,	PUNCT
fcis-9970	51	121	the	the	DET
fcis-9970	51	122	neural	neural	ADJ
fcis-9970	51	123	network	network	NOUN
fcis-9970	51	124	is	be	AUX
fcis-9970	51	125	already	already	ADV
fcis-9970	51	126	able	able	ADJ
fcis-9970	51	127	to	to	PART
fcis-9970	51	128	classify	classify	VERB
fcis-9970	51	129	each	each	DET
fcis-9970	51	130	sample	sample	NOUN
fcis-9970	51	131	correctly	correctly	ADV
fcis-9970	51	132	,	,	PUNCT
fcis-9970	51	133	and	and	CCONJ
fcis-9970	51	134	further	far	ADV
fcis-9970	51	135	increasing	increase	VERB
fcis-9970	51	136	the	the	DET
fcis-9970	51	137	number	number	NOUN
fcis-9970	51	138	of	of	ADP
fcis-9970	51	139	training	training	NOUN
fcis-9970	51	140	steps	step	NOUN
fcis-9970	51	141	will	will	AUX
fcis-9970	51	142	not	not	PART
fcis-9970	51	143	change	change	VERB
fcis-9970	51	144	the	the	DET
fcis-9970	51	145	classification	classification	NOUN
fcis-9970	51	146	results	result	NOUN
fcis-9970	51	147	.	.	PUNCT
fcis-9970	52	1	therefore	therefore	ADV
fcis-9970	52	2	,	,	PUNCT
fcis-9970	52	3	when	when	SCONJ
fcis-9970	52	4	training	train	VERB
fcis-9970	52	5	the	the	DET
fcis-9970	52	6	network	network	NOUN
fcis-9970	52	7	,	,	PUNCT
fcis-9970	52	8	choosing	choose	VERB
fcis-9970	52	9	a	a	DET
fcis-9970	52	10	training	training	NOUN
fcis-9970	52	11	step	step	NOUN
fcis-9970	52	12	of	of	ADP
fcis-9970	52	13	200	200	NUM
fcis-9970	52	14	can	can	AUX
fcis-9970	52	15	achieve	achieve	VERB
fcis-9970	52	16	satisfactory	satisfactory	ADJ
fcis-9970	52	17	clustering	clustering	NOUN
fcis-9970	52	18	performance	performance	NOUN
fcis-9970	52	19	while	while	SCONJ
fcis-9970	52	20	avoiding	avoid	VERB
fcis-9970	52	21	the	the	DET
fcis-9970	52	22	problem	problem	NOUN
fcis-9970	52	23	of	of	ADP
fcis-9970	52	24	overfitting	overfitting	NOUN
fcis-9970	52	25	.	.	PUNCT
fcis-9970	53	1	this	this	PRON
fcis-9970	53	2	ensures	ensure	VERB
fcis-9970	53	3	that	that	SCONJ
fcis-9970	53	4	the	the	DET
fcis-9970	53	5	network	network	NOUN
fcis-9970	53	6	can	can	AUX
fcis-9970	53	7	accurately	accurately	ADV
fcis-9970	53	8	classify	classify	VERB
fcis-9970	53	9	the	the	DET
fcis-9970	53	10	input	input	NOUN
fcis-9970	53	11	vectors	vector	NOUN
fcis-9970	53	12	and	and	CCONJ
fcis-9970	53	13	has	have	VERB
fcis-9970	53	14	a	a	DET
fcis-9970	53	15	good	good	ADJ
fcis-9970	53	16	generalization	generalization	NOUN
fcis-9970	53	17	capability	capability	NOUN
fcis-9970	53	18	.	.	PUNCT
fcis-9970	54	1	figure	figure	NOUN
fcis-9970	54	2	4	4	NUM
fcis-9970	54	3	.	.	PUNCT
fcis-9970	55	1	som	som	NOUN
fcis-9970	55	2	neural	neural	ADJ
fcis-9970	55	3	network	network	NOUN
fcis-9970	55	4	topology	topology	NOUN
fcis-9970	55	5	diagram	diagram	NOUN
fcis-9970	55	6	figure	figure	NOUN
fcis-9970	55	7	5	5	NUM
fcis-9970	55	8	.	.	PUNCT
fcis-9970	56	1	connection	connection	NOUN
fcis-9970	56	2	of	of	ADP
fcis-9970	56	3	the	the	DET
fcis-9970	56	4	som	som	PROPN
fcis-9970	56	5	neighbors	neighbor	NOUN
fcis-9970	56	6	the	the	DET
fcis-9970	56	7	topology	topology	NOUN
fcis-9970	56	8	of	of	ADP
fcis-9970	56	9	the	the	DET
fcis-9970	56	10	som	som	PROPN
fcis-9970	56	11	neural	neural	ADJ
fcis-9970	56	12	network	network	NOUN
fcis-9970	56	13	is	be	AUX
fcis-9970	56	14	shown	show	VERB
fcis-9970	56	15	in	in	ADP
fcis-9970	56	16	figure	figure	NOUN
fcis-9970	56	17	4	4	NUM
fcis-9970	56	18	.	.	PUNCT
fcis-9970	57	1	each	each	DET
fcis-9970	57	2	hexagon	hexagon	NOUN
fcis-9970	57	3	represents	represent	VERB
fcis-9970	57	4	a	a	DET
fcis-9970	57	5	neuron	neuron	NOUN
fcis-9970	57	6	,	,	PUNCT
fcis-9970	57	7	starting	start	VERB
fcis-9970	57	8	from	from	ADP
fcis-9970	57	9	0	0	NUM
fcis-9970	57	10	to	to	ADP
fcis-9970	57	11	10	10	NUM
fcis-9970	57	12	on	on	ADP
fcis-9970	57	13	the	the	DET
fcis-9970	57	14	bottom	bottom	NOUN
fcis-9970	57	15	and	and	CCONJ
fcis-9970	57	16	starting	start	VERB
fcis-9970	57	17	from	from	ADP
fcis-9970	57	18	-1	-1	VERB
fcis-9970	57	19	to	to	ADP
fcis-9970	57	20	8	8	NUM
fcis-9970	57	21	on	on	ADP
fcis-9970	57	22	the	the	DET
fcis-9970	57	23	right	right	ADJ
fcis-9970	57	24	vertical	vertical	ADJ
fcis-9970	57	25	axis	axis	NOUN
fcis-9970	57	26	,	,	PUNCT
fcis-9970	57	27	forming	form	VERB
fcis-9970	57	28	a	a	DET
fcis-9970	57	29	10	10	NUM
fcis-9970	57	30	*	*	SYM
fcis-9970	57	31	10	10	NUM
fcis-9970	57	32	neuron	neuron	NOUN
fcis-9970	57	33	matrix	matrix	NOUN
fcis-9970	57	34	for	for	ADP
fcis-9970	57	35	training	train	VERB
fcis-9970	57	36	the	the	DET
fcis-9970	57	37	neural	neural	ADJ
fcis-9970	57	38	network	network	NOUN
fcis-9970	57	39	.	.	PUNCT
fcis-9970	58	1	the	the	DET
fcis-9970	58	2	connection	connection	NOUN
fcis-9970	58	3	diagram	diagram	NOUN
fcis-9970	58	4	of	of	ADP
fcis-9970	58	5	each	each	DET
fcis-9970	58	6	neighborhood	neighborhood	NOUN
fcis-9970	58	7	of	of	ADP
fcis-9970	58	8	som	som	NOUN
fcis-9970	58	9	is	be	AUX
fcis-9970	58	10	shown	show	VERB
fcis-9970	58	11	in	in	ADP
fcis-9970	58	12	figure	figure	NOUN
fcis-9970	58	13	5	5	NUM
fcis-9970	58	14	.	.	PUNCT
fcis-9970	59	1	the	the	DET
fcis-9970	59	2	plotsomnc	plotsomnc	PROPN
fcis-9970	59	3	(	(	PUNCT
fcis-9970	59	4	net	net	NOUN
fcis-9970	59	5	)	)	PUNCT
fcis-9970	59	6	plots	plot	VERB
fcis-9970	59	7	a	a	DET
fcis-9970	59	8	som	som	NOUN
fcis-9970	59	9	layer	layer	NOUN
fcis-9970	59	10	showing	show	VERB
fcis-9970	59	11	the	the	DET
fcis-9970	59	12	neurons	neuron	NOUN
fcis-9970	59	13	as	as	ADP
fcis-9970	59	14	gray	gray	ADJ
fcis-9970	59	15	patches	patch	NOUN
fcis-9970	59	16	and	and	CCONJ
fcis-9970	59	17	their	their	PRON
fcis-9970	59	18	direct	direct	ADJ
fcis-9970	59	19	neighborhood	neighborhood	NOUN
fcis-9970	59	20	relationship	relationship	NOUN
fcis-9970	59	21	with	with	ADP
fcis-9970	59	22	the	the	DET
fcis-9970	59	23	red	red	ADJ
fcis-9970	59	24	line	line	NOUN
fcis-9970	59	25	.	.	PUNCT
fcis-9970	60	1	the	the	DET
fcis-9970	60	2	distribution	distribution	NOUN
fcis-9970	60	3	of	of	ADP
fcis-9970	60	4	distances	distance	NOUN
fcis-9970	60	5	between	between	ADP
fcis-9970	60	6	neurons	neuron	NOUN
fcis-9970	60	7	is	be	AUX
fcis-9970	60	8	shown	show	VERB
fcis-9970	60	9	in	in	ADP
fcis-9970	60	10	figure	figure	NOUN
fcis-9970	60	11	6	6	NUM
fcis-9970	60	12	,	,	PUNCT
fcis-9970	60	13	and	and	CCONJ
fcis-9970	60	14	it	it	PRON
fcis-9970	60	15	is	be	AUX
fcis-9970	60	16	determined	determine	VERB
fcis-9970	60	17	that	that	SCONJ
fcis-9970	60	18	the	the	DET
fcis-9970	60	19	som	som	PROPN
fcis-9970	60	20	neural	neural	ADJ
fcis-9970	60	21	network	network	NOUN
fcis-9970	60	22	achieves	achieve	VERB
fcis-9970	60	23	clustering	cluster	VERB
fcis-9970	60	24	by	by	ADP
fcis-9970	60	25	calculating	calculate	VERB
fcis-9970	60	26	the	the	DET
fcis-9970	60	27	distances	distance	NOUN
fcis-9970	60	28	between	between	ADP
fcis-9970	60	29	neurons	neuron	NOUN
fcis-9970	60	30	.	.	PUNCT
fcis-9970	61	1	however	however	ADV
fcis-9970	61	2	,	,	PUNCT
fcis-9970	61	3	in	in	ADP
fcis-9970	61	4	some	some	DET
fcis-9970	61	5	cases	case	NOUN
fcis-9970	61	6	,	,	PUNCT
fcis-9970	61	7	the	the	DET
fcis-9970	61	8	complex	complex	ADJ
fcis-9970	61	9	distribution	distribution	NOUN
fcis-9970	61	10	of	of	ADP
fcis-9970	61	11	distances	distance	NOUN
fcis-9970	61	12	between	between	ADP
fcis-9970	61	13	neurons	neuron	NOUN
fcis-9970	61	14	may	may	AUX
fcis-9970	61	15	lead	lead	VERB
fcis-9970	61	16	to	to	ADP
fcis-9970	61	17	unclear	unclear	ADJ
fcis-9970	61	18	boundaries	boundary	NOUN
fcis-9970	61	19	between	between	ADP
fcis-9970	61	20	clustering	cluster	VERB
fcis-9970	61	21	results	result	NOUN
fcis-9970	61	22	.	.	PUNCT
fcis-9970	62	1	this	this	PRON
fcis-9970	62	2	may	may	AUX
fcis-9970	62	3	also	also	ADV
fcis-9970	62	4	mean	mean	VERB
fcis-9970	62	5	that	that	SCONJ
fcis-9970	62	6	the	the	DET
fcis-9970	62	7	parameters	parameter	NOUN
fcis-9970	62	8	of	of	ADP
fcis-9970	62	9	the	the	DET
fcis-9970	62	10	neural	neural	ADJ
fcis-9970	62	11	network	network	NOUN
fcis-9970	62	12	need	need	VERB
fcis-9970	62	13	to	to	PART
fcis-9970	62	14	be	be	AUX
fcis-9970	62	15	further	far	ADV
fcis-9970	62	16	adjusted	adjust	VERB
fcis-9970	62	17	or	or	CCONJ
fcis-9970	62	18	other	other	ADJ
fcis-9970	62	19	algorithms	algorithm	NOUN
fcis-9970	62	20	introduced	introduce	VERB
fcis-9970	62	21	to	to	PART
fcis-9970	62	22	improve	improve	VERB
fcis-9970	62	23	the	the	DET
fcis-9970	62	24	clustering	clustering	ADJ
fcis-9970	62	25	performance	performance	NOUN
fcis-9970	62	26	.	.	PUNCT
fcis-9970	63	1	figure	figure	NOUN
fcis-9970	63	2	6	6	NUM
fcis-9970	63	3	.	.	PUNCT
fcis-9970	64	1	distribution	distribution	NOUN
fcis-9970	64	2	of	of	ADP
fcis-9970	64	3	distances	distance	NOUN
fcis-9970	64	4	between	between	ADP
fcis-9970	64	5	adjacent	adjacent	ADJ
fcis-9970	64	6	neurons	neuron	NOUN
fcis-9970	64	7	after	after	ADP
fcis-9970	64	8	completing	complete	VERB
fcis-9970	64	9	training	train	VERB
fcis-9970	64	10	the	the	DET
fcis-9970	64	11	som	som	NOUN
fcis-9970	64	12	neuron	neuron	PROPN
fcis-9970	64	13	weight	weight	NOUN
fcis-9970	64	14	vector	vector	NOUN
fcis-9970	64	15	locations	location	NOUN
fcis-9970	64	16	are	be	AUX
fcis-9970	64	17	shown	show	VERB
fcis-9970	64	18	in	in	ADP
fcis-9970	64	19	figure	figure	NOUN
fcis-9970	64	20	7	7	NUM
fcis-9970	64	21	.	.	PUNCT
fcis-9970	65	1	the	the	DET
fcis-9970	65	2	plotsompos	plotsompos	NOUN
fcis-9970	65	3	(	(	PUNCT
fcis-9970	65	4	net	net	NOUN
fcis-9970	65	5	)	)	PUNCT
fcis-9970	65	6	plots	plot	VERB
fcis-9970	65	7	the	the	DET
fcis-9970	65	8	input	input	NOUN
fcis-9970	65	9	vectors	vector	NOUN
fcis-9970	65	10	as	as	ADP
fcis-9970	65	11	green	green	ADJ
fcis-9970	65	12	dots	dot	NOUN
fcis-9970	65	13	and	and	CCONJ
fcis-9970	65	14	shows	show	VERB
fcis-9970	65	15	how	how	SCONJ
fcis-9970	65	16	the	the	DET
fcis-9970	65	17	som	som	NOUN
fcis-9970	65	18	classifies	classify	VERB
fcis-9970	65	19	the	the	DET
fcis-9970	65	20	input	input	NOUN
fcis-9970	65	21	space	space	NOUN
fcis-9970	65	22	by	by	ADP
fcis-9970	65	23	displaying	display	VERB
fcis-9970	65	24	the	the	DET
fcis-9970	65	25	blue	blue	ADJ
fcis-9970	65	26	-	-	PUNCT
fcis-9970	65	27	gray	gray	ADJ
fcis-9970	65	28	dots	dot	NOUN
fcis-9970	65	29	of	of	ADP
fcis-9970	65	30	each	each	DET
fcis-9970	65	31	neuron	neuron	NOUN
fcis-9970	65	32	's	's	PART
fcis-9970	65	33	weight	weight	NOUN
fcis-9970	65	34	vector	vector	NOUN
fcis-9970	65	35	and	and	CCONJ
fcis-9970	65	36	connecting	connect	VERB
fcis-9970	65	37	adjacent	adjacent	ADJ
fcis-9970	65	38	neurons	neuron	NOUN
fcis-9970	65	39	to	to	ADP
fcis-9970	65	40	the	the	DET
fcis-9970	65	41	red	red	ADJ
fcis-9970	65	42	line	line	NOUN
fcis-9970	65	43	.	.	PUNCT
fcis-9970	66	1	figure	figure	NOUN
fcis-9970	66	2	7	7	NUM
fcis-9970	66	3	.	.	PUNCT
fcis-9970	66	4	location	location	NOUN
fcis-9970	66	5	of	of	ADP
fcis-9970	66	6	som	som	PROPN
fcis-9970	66	7	neuron	neuron	PROPN
fcis-9970	66	8	weight	weight	NOUN
fcis-9970	66	9	vectors	vector	NOUN
fcis-9970	66	10	according	accord	VERB
fcis-9970	66	11	to	to	ADP
fcis-9970	66	12	the	the	DET
fcis-9970	66	13	two	two	NUM
fcis-9970	66	14	groups	group	NOUN
fcis-9970	66	15	of	of	ADP
fcis-9970	66	16	fault	fault	NOUN
fcis-9970	66	17	samples	sample	NOUN
fcis-9970	66	18	to	to	PART
fcis-9970	66	19	be	be	AUX
fcis-9970	66	20	classified	classify	VERB
fcis-9970	66	21	as	as	SCONJ
fcis-9970	66	22	shown	show	VERB
fcis-9970	66	23	in	in	ADP
fcis-9970	66	24	table	table	NOUN
fcis-9970	66	25	2	2	NUM
fcis-9970	66	26	,	,	PUNCT
fcis-9970	66	27	they	they	PRON
fcis-9970	66	28	are	be	AUX
fcis-9970	66	29	entered	enter	VERB
fcis-9970	66	30	into	into	ADP
fcis-9970	66	31	the	the	DET
fcis-9970	66	32	program	program	NOUN
fcis-9970	66	33	for	for	ADP
fcis-9970	66	34	classification	classification	NOUN
fcis-9970	66	35	respectively	respectively	ADV
fcis-9970	66	36	,	,	PUNCT
fcis-9970	66	37	and	and	CCONJ
fcis-9970	66	38	the	the	DET
fcis-9970	66	39	classification	classification	NOUN
fcis-9970	66	40	procedure	procedure	NOUN
fcis-9970	66	41	is	be	AUX
fcis-9970	66	42	as	as	SCONJ
fcis-9970	66	43	follows	follow	VERB
fcis-9970	66	44	:	:	PUNCT
fcis-9970	66	45	t=	t=	PRON
fcis-9970	67	1	[	[	PUNCT
fcis-9970	67	2	]	]	X
fcis-9970	67	3	'	'	PUNCT
fcis-9970	67	4	;	;	PUNCT
fcis-9970	67	5	%	%	INTJ
fcis-9970	67	6	enter	enter	VERB
fcis-9970	67	7	the	the	DET
fcis-9970	67	8	sample	sample	NOUN
fcis-9970	67	9	to	to	PART
fcis-9970	67	10	be	be	AUX
fcis-9970	67	11	tested	test	VERB
fcis-9970	67	12	;	;	PUNCT
fcis-9970	67	13	r	r	X
fcis-9970	67	14	=	=	SYM
fcis-9970	67	15	sim(net	sim(net	NOUN
fcis-9970	67	16	,	,	PUNCT
fcis-9970	67	17	t	t	PROPN
fcis-9970	67	18	)	)	PUNCT
fcis-9970	67	19	;	;	PUNCT
fcis-9970	67	20	%	%	NOUN
fcis-9970	67	21	network	network	NOUN
fcis-9970	67	22	simulation	simulation	NOUN
fcis-9970	67	23	;	;	PUNCT
fcis-9970	67	24	rr	rr	PROPN
fcis-9970	67	25	=	=	PROPN
fcis-9970	67	26	vec2ind(r	vec2ind(r	PROPN
fcis-9970	67	27	)	)	PUNCT
fcis-9970	67	28	%	%	NOUN
fcis-9970	67	29	transformation	transformation	NOUN
fcis-9970	67	30	function	function	NOUN
fcis-9970	67	31	that	that	PRON
fcis-9970	67	32	converts	convert	VERB
fcis-9970	67	33	a	a	DET
fcis-9970	67	34	single	single	ADV
fcis-9970	67	35	-	-	PUNCT
fcis-9970	67	36	valued	value	VERB
fcis-9970	67	37	vector	vector	NOUN
fcis-9970	67	38	into	into	ADP
fcis-9970	67	39	a	a	DET
fcis-9970	67	40	subscripted	subscripte	VERB
fcis-9970	67	41	vector	vector	NOUN
fcis-9970	67	42	;	;	PUNCT
fcis-9970	67	43	the	the	DET
fcis-9970	67	44	above	above	ADJ
fcis-9970	67	45	procedure	procedure	NOUN
fcis-9970	67	46	enables	enable	VERB
fcis-9970	67	47	to	to	PART
fcis-9970	67	48	call	call	VERB
fcis-9970	67	49	the	the	DET
fcis-9970	67	50	trained	train	VERB
fcis-9970	67	51	som	som	NOUN
fcis-9970	67	52	neural	neural	ADJ
fcis-9970	67	53	network	network	NOUN
fcis-9970	67	54	to	to	PART
fcis-9970	67	55	determine	determine	VERB
fcis-9970	67	56	which	which	DET
fcis-9970	67	57	fault	fault	NOUN
fcis-9970	67	58	type	type	VERB
fcis-9970	67	59	the	the	DET
fcis-9970	67	60	undetected	undetected	ADJ
fcis-9970	67	61	data	datum	NOUN
fcis-9970	67	62	belongs	belong	VERB
fcis-9970	67	63	to	to	ADP
fcis-9970	67	64	.	.	PUNCT
fcis-9970	68	1	the	the	DET
fcis-9970	68	2	distribution	distribution	NOUN
fcis-9970	68	3	of	of	ADP
fcis-9970	68	4	neurons	neuron	NOUN
fcis-9970	68	5	is	be	AUX
fcis-9970	68	6	shown	show	VERB
fcis-9970	68	7	in	in	ADP
fcis-9970	68	8	figure	figure	NOUN
fcis-9970	68	9	8	8	NUM
fcis-9970	68	10	and	and	CCONJ
fcis-9970	68	11	figure	figure	VERB
fcis-9970	68	12	9	9	NUM
fcis-9970	68	13	.	.	PUNCT
fcis-9970	69	1	it	it	PRON
fcis-9970	69	2	is	be	AUX
fcis-9970	69	3	known	know	VERB
fcis-9970	69	4	that	that	SCONJ
fcis-9970	69	5	there	there	PRON
fcis-9970	69	6	are	be	VERB
fcis-9970	69	7	eight	eight	NUM
fcis-9970	69	8	different	different	ADJ
fcis-9970	69	9	states	state	NOUN
fcis-9970	69	10	in	in	ADP
fcis-9970	69	11	the	the	DET
fcis-9970	69	12	mapping	mapping	NOUN
fcis-9970	69	13	from	from	ADP
fcis-9970	69	14	the	the	DET
fcis-9970	69	15	input	input	NOUN
fcis-9970	69	16	layer	layer	NOUN
fcis-9970	69	17	to	to	ADP
fcis-9970	69	18	the	the	DET
fcis-9970	69	19	competing	compete	VERB
fcis-9970	69	20	layer	layer	NOUN
fcis-9970	69	21	.	.	PUNCT
fcis-9970	70	1	each	each	DET
fcis-9970	70	2	state	state	NOUN
fcis-9970	70	3	is	be	AUX
fcis-9970	70	4	assigned	assign	VERB
fcis-9970	70	5	to	to	ADP
fcis-9970	70	6	a	a	DET
fcis-9970	70	7	corresponding	corresponding	ADJ
fcis-9970	70	8	neuron	neuron	NOUN
fcis-9970	70	9	56	56	NUM
fcis-9970	70	10	location	location	NOUN
fcis-9970	70	11	,	,	PUNCT
fcis-9970	70	12	represented	represent	VERB
fcis-9970	70	13	by	by	ADP
fcis-9970	70	14	a	a	DET
fcis-9970	70	15	different	different	ADJ
fcis-9970	70	16	token	token	NOUN
fcis-9970	70	17	.	.	PUNCT
fcis-9970	71	1	using	use	VERB
fcis-9970	71	2	the	the	DET
fcis-9970	71	3	standard	standard	ADJ
fcis-9970	71	4	sample	sample	NOUN
fcis-9970	71	5	state	state	NOUN
fcis-9970	71	6	as	as	ADP
fcis-9970	71	7	a	a	DET
fcis-9970	71	8	benchmark	benchmark	NOUN
fcis-9970	71	9	,	,	PUNCT
fcis-9970	71	10	when	when	SCONJ
fcis-9970	71	11	the	the	DET
fcis-9970	71	12	input	input	NOUN
fcis-9970	71	13	state	state	NOUN
fcis-9970	71	14	is	be	AUX
fcis-9970	71	15	the	the	DET
fcis-9970	71	16	same	same	ADJ
fcis-9970	71	17	or	or	CCONJ
fcis-9970	71	18	similar	similar	ADJ
fcis-9970	71	19	to	to	ADP
fcis-9970	71	20	that	that	DET
fcis-9970	71	21	standard	standard	ADJ
fcis-9970	71	22	state	state	NOUN
fcis-9970	71	23	,	,	PUNCT
fcis-9970	71	24	the	the	DET
fcis-9970	71	25	position	position	NOUN
fcis-9970	71	26	of	of	ADP
fcis-9970	71	27	the	the	DET
fcis-9970	71	28	neuron	neuron	NOUN
fcis-9970	71	29	output	output	NOUN
fcis-9970	71	30	in	in	ADP
fcis-9970	71	31	the	the	DET
fcis-9970	71	32	competitive	competitive	ADJ
fcis-9970	71	33	layer	layer	NOUN
fcis-9970	71	34	will	will	AUX
fcis-9970	71	35	be	be	AUX
fcis-9970	71	36	the	the	DET
fcis-9970	71	37	same	same	ADJ
fcis-9970	71	38	or	or	CCONJ
fcis-9970	71	39	similar	similar	ADJ
fcis-9970	71	40	to	to	ADP
fcis-9970	71	41	the	the	DET
fcis-9970	71	42	position	position	NOUN
fcis-9970	71	43	of	of	ADP
fcis-9970	71	44	some	some	DET
fcis-9970	71	45	standard	standard	ADJ
fcis-9970	71	46	fault	fault	NOUN
fcis-9970	71	47	sample	sample	NOUN
fcis-9970	71	48	.	.	PUNCT
fcis-9970	72	1	the	the	DET
fcis-9970	72	2	som	som	PROPN
fcis-9970	72	3	neural	neural	ADJ
fcis-9970	72	4	network	network	NOUN
fcis-9970	72	5	can	can	AUX
fcis-9970	72	6	be	be	AUX
fcis-9970	72	7	trained	train	VERB
fcis-9970	72	8	to	to	PART
fcis-9970	72	9	map	map	VERB
fcis-9970	72	10	the	the	DET
fcis-9970	72	11	input	input	NOUN
fcis-9970	72	12	vectors	vector	NOUN
fcis-9970	72	13	of	of	ADP
fcis-9970	72	14	different	different	ADJ
fcis-9970	72	15	states	state	NOUN
fcis-9970	72	16	to	to	ADP
fcis-9970	72	17	the	the	DET
fcis-9970	72	18	corresponding	correspond	VERB
fcis-9970	72	19	neuron	neuron	NOUN
fcis-9970	72	20	positions	position	NOUN
fcis-9970	72	21	on	on	ADP
fcis-9970	72	22	the	the	DET
fcis-9970	72	23	competing	compete	VERB
fcis-9970	72	24	layers	layer	NOUN
fcis-9970	72	25	to	to	PART
fcis-9970	72	26	achieve	achieve	VERB
fcis-9970	72	27	state	state	NOUN
fcis-9970	72	28	classification	classification	NOUN
fcis-9970	72	29	and	and	CCONJ
fcis-9970	72	30	identification	identification	NOUN
fcis-9970	72	31	.	.	PUNCT
fcis-9970	73	1	when	when	SCONJ
fcis-9970	73	2	the	the	DET
fcis-9970	73	3	input	input	NOUN
fcis-9970	73	4	states	state	NOUN
fcis-9970	73	5	are	be	AUX
fcis-9970	73	6	similar	similar	ADJ
fcis-9970	73	7	to	to	ADP
fcis-9970	73	8	the	the	DET
fcis-9970	73	9	standard	standard	ADJ
fcis-9970	73	10	fault	fault	NOUN
fcis-9970	73	11	samples	sample	NOUN
fcis-9970	73	12	,	,	PUNCT
fcis-9970	73	13	the	the	DET
fcis-9970	73	14	neural	neural	ADJ
fcis-9970	73	15	network	network	NOUN
fcis-9970	73	16	is	be	AUX
fcis-9970	73	17	able	able	ADJ
fcis-9970	73	18	to	to	PART
fcis-9970	73	19	accurately	accurately	ADV
fcis-9970	73	20	classify	classify	VERB
fcis-9970	73	21	them	they	PRON
fcis-9970	73	22	to	to	ADP
fcis-9970	73	23	their	their	PRON
fcis-9970	73	24	corresponding	correspond	VERB
fcis-9970	73	25	positions	position	NOUN
fcis-9970	73	26	.	.	PUNCT
fcis-9970	74	1	this	this	PRON
fcis-9970	74	2	provides	provide	VERB
fcis-9970	74	3	a	a	DET
fcis-9970	74	4	pattern	pattern	NOUN
fcis-9970	74	5	-	-	PUNCT
fcis-9970	74	6	matchingbased	matchingbase	VERB
fcis-9970	74	7	approach	approach	NOUN
fcis-9970	74	8	to	to	PART
fcis-9970	74	9	fault	fault	VERB
fcis-9970	74	10	diagnosis	diagnosis	NOUN
fcis-9970	74	11	,	,	PUNCT
fcis-9970	74	12	making	make	VERB
fcis-9970	74	13	it	it	PRON
fcis-9970	74	14	possible	possible	ADJ
fcis-9970	74	15	to	to	PART
fcis-9970	74	16	determine	determine	VERB
fcis-9970	74	17	the	the	DET
fcis-9970	74	18	type	type	NOUN
fcis-9970	74	19	of	of	ADP
fcis-9970	74	20	fault	fault	NOUN
fcis-9970	74	21	based	base	VERB
fcis-9970	74	22	on	on	ADP
fcis-9970	74	23	the	the	DET
fcis-9970	74	24	similarity	similarity	NOUN
fcis-9970	74	25	of	of	ADP
fcis-9970	74	26	the	the	DET
fcis-9970	74	27	location	location	NOUN
fcis-9970	74	28	of	of	ADP
fcis-9970	74	29	the	the	DET
fcis-9970	74	30	input	input	NOUN
fcis-9970	74	31	vector	vector	NOUN
fcis-9970	74	32	to	to	ADP
fcis-9970	74	33	the	the	DET
fcis-9970	74	34	location	location	NOUN
fcis-9970	74	35	of	of	ADP
fcis-9970	74	36	the	the	DET
fcis-9970	74	37	standard	standard	ADJ
fcis-9970	74	38	sample	sample	NOUN
fcis-9970	74	39	.	.	PUNCT
fcis-9970	75	1	figure	figure	NOUN
fcis-9970	75	2	8	8	NUM
fcis-9970	75	3	.	.	PUNCT
fcis-9970	76	1	classification	classification	NOUN
fcis-9970	76	2	of	of	ADP
fcis-9970	76	3	d1	d1	PROPN
fcis-9970	76	4	neurons	neuron	NOUN
fcis-9970	76	5	figure	figure	NOUN
fcis-9970	76	6	9	9	NUM
fcis-9970	76	7	.	.	PUNCT
fcis-9970	77	1	classification	classification	NOUN
fcis-9970	77	2	of	of	ADP
fcis-9970	77	3	d2	d2	PROPN
fcis-9970	77	4	neurons	neuron	NOUN
fcis-9970	77	5	4	4	NUM
fcis-9970	77	6	.	.	PUNCT
fcis-9970	77	7	conclusion	conclusion	NOUN
fcis-9970	77	8	in	in	ADP
fcis-9970	77	9	this	this	DET
fcis-9970	77	10	paper	paper	NOUN
fcis-9970	77	11	,	,	PUNCT
fcis-9970	77	12	we	we	PRON
fcis-9970	77	13	use	use	VERB
fcis-9970	77	14	som	som	NOUN
fcis-9970	77	15	neural	neural	ADJ
fcis-9970	77	16	network	network	NOUN
fcis-9970	77	17	to	to	PART
fcis-9970	77	18	perform	perform	VERB
fcis-9970	77	19	fault	fault	NOUN
fcis-9970	77	20	diagnosis	diagnosis	NOUN
fcis-9970	77	21	of	of	ADP
fcis-9970	77	22	hydraulic	hydraulic	ADJ
fcis-9970	77	23	system	system	NOUN
fcis-9970	77	24	and	and	CCONJ
fcis-9970	77	25	confirm	confirm	VERB
fcis-9970	77	26	that	that	SCONJ
fcis-9970	77	27	the	the	DET
fcis-9970	77	28	fault	fault	NOUN
fcis-9970	77	29	diagnosis	diagnosis	NOUN
fcis-9970	77	30	method	method	NOUN
fcis-9970	77	31	of	of	ADP
fcis-9970	77	32	som	som	NOUN
fcis-9970	77	33	neural	neural	ADJ
fcis-9970	77	34	network	network	NOUN
fcis-9970	77	35	is	be	AUX
fcis-9970	77	36	a	a	DET
fcis-9970	77	37	relatively	relatively	ADV
fcis-9970	77	38	accurate	accurate	ADJ
fcis-9970	77	39	fault	fault	NOUN
fcis-9970	77	40	diagnosis	diagnosis	NOUN
fcis-9970	77	41	method	method	NOUN
fcis-9970	77	42	.	.	PUNCT
fcis-9970	78	1	compared	compare	VERB
fcis-9970	78	2	with	with	ADP
fcis-9970	78	3	the	the	DET
fcis-9970	78	4	traditional	traditional	ADJ
fcis-9970	78	5	rule	rule	NOUN
fcis-9970	78	6	-	-	PUNCT
fcis-9970	78	7	based	base	VERB
fcis-9970	78	8	or	or	CCONJ
fcis-9970	78	9	experience	experience	NOUN
fcis-9970	78	10	-	-	PUNCT
fcis-9970	78	11	based	base	VERB
fcis-9970	78	12	diagnosis	diagnosis	NOUN
fcis-9970	78	13	methods	method	NOUN
fcis-9970	78	14	,	,	PUNCT
fcis-9970	78	15	som	som	NOUN
fcis-9970	78	16	neural	neural	ADJ
fcis-9970	78	17	network	network	NOUN
fcis-9970	78	18	can	can	AUX
fcis-9970	78	19	automatically	automatically	ADV
fcis-9970	78	20	learn	learn	VERB
fcis-9970	78	21	the	the	DET
fcis-9970	78	22	correlation	correlation	NOUN
fcis-9970	78	23	and	and	CCONJ
fcis-9970	78	24	laws	law	NOUN
fcis-9970	78	25	between	between	ADP
fcis-9970	78	26	sample	sample	NOUN
fcis-9970	78	27	data	datum	NOUN
fcis-9970	78	28	and	and	CCONJ
fcis-9970	78	29	identify	identify	VERB
fcis-9970	78	30	the	the	DET
fcis-9970	78	31	fault	fault	NOUN
fcis-9970	78	32	types	type	NOUN
fcis-9970	78	33	by	by	ADP
fcis-9970	78	34	clustering	cluster	VERB
fcis-9970	78	35	the	the	DET
fcis-9970	78	36	sample	sample	NOUN
fcis-9970	78	37	data	datum	NOUN
fcis-9970	78	38	,	,	PUNCT
fcis-9970	78	39	thus	thus	ADV
fcis-9970	78	40	improving	improve	VERB
fcis-9970	78	41	the	the	DET
fcis-9970	78	42	accuracy	accuracy	NOUN
fcis-9970	78	43	and	and	CCONJ
fcis-9970	78	44	reliability	reliability	NOUN
fcis-9970	78	45	of	of	ADP
fcis-9970	78	46	diagnosis	diagnosis	NOUN
fcis-9970	78	47	.	.	PUNCT
fcis-9970	79	1	through	through	ADP
fcis-9970	79	2	the	the	DET
fcis-9970	79	3	training	training	NOUN
fcis-9970	79	4	of	of	ADP
fcis-9970	79	5	large	large	ADJ
fcis-9970	79	6	amount	amount	NOUN
fcis-9970	79	7	of	of	ADP
fcis-9970	79	8	data	datum	NOUN
fcis-9970	79	9	,	,	PUNCT
fcis-9970	79	10	it	it	PRON
fcis-9970	79	11	can	can	AUX
fcis-9970	79	12	accurately	accurately	ADV
fcis-9970	79	13	identify	identify	VERB
fcis-9970	79	14	the	the	DET
fcis-9970	79	15	given	give	VERB
fcis-9970	79	16	unknown	unknown	ADJ
fcis-9970	79	17	fault	fault	NOUN
fcis-9970	79	18	data	datum	NOUN
fcis-9970	79	19	and	and	CCONJ
fcis-9970	79	20	give	give	VERB
fcis-9970	79	21	hints	hint	NOUN
fcis-9970	79	22	.	.	PUNCT
fcis-9970	80	1	acknowledgments	acknowledgment	NOUN
fcis-9970	80	2	this	this	DET
fcis-9970	80	3	paper	paper	NOUN
fcis-9970	80	4	is	be	AUX
fcis-9970	80	5	supported	support	VERB
fcis-9970	80	6	by	by	ADP
fcis-9970	80	7	the	the	DET
fcis-9970	80	8	project	project	NOUN
fcis-9970	80	9	of	of	ADP
fcis-9970	80	10	innovation	innovation	NOUN
fcis-9970	80	11	and	and	CCONJ
fcis-9970	80	12	entrepreneurship	entrepreneurship	NOUN
fcis-9970	80	13	training	training	NOUN
fcis-9970	80	14	program	program	NOUN
fcis-9970	80	15	for	for	ADP
fcis-9970	80	16	university	university	NOUN
fcis-9970	80	17	students	student	NOUN
fcis-9970	80	18	(	(	PUNCT
fcis-9970	80	19	provincial	provincial	ADJ
fcis-9970	80	20	general	general	ADJ
fcis-9970	80	21	project	project	NOUN
fcis-9970	80	22	,	,	PUNCT
fcis-9970	80	23	project	project	NOUN
fcis-9970	80	24	no	no	NOUN
fcis-9970	80	25	.	.	NOUN
fcis-9970	80	26	202211055075y	202211055075y	NUM
fcis-9970	80	27	)	)	PUNCT
fcis-9970	80	28	;	;	PUNCT
fcis-9970	80	29	the	the	DET
fcis-9970	80	30	project	project	NOUN
fcis-9970	80	31	of	of	ADP
fcis-9970	80	32	industry	industry	NOUN
fcis-9970	80	33	-	-	PUNCT
fcis-9970	80	34	university	university	NOUN
fcis-9970	80	35	-	-	PUNCT
fcis-9970	80	36	research	research	NOUN
fcis-9970	80	37	cooperation	cooperation	NOUN
fcis-9970	80	38	in	in	ADP
fcis-9970	80	39	jiangsu	jiangsu	PROPN
fcis-9970	80	40	province	province	PROPN
fcis-9970	80	41	(	(	PUNCT
fcis-9970	80	42	project	project	NOUN
fcis-9970	80	43	no	no	INTJ
fcis-9970	80	44	.	.	PUNCT
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fcis-9970	81	3	;	;	PUNCT
fcis-9970	81	4	and	and	CCONJ
fcis-9970	81	5	the	the	DET
fcis-9970	81	6	basic	basic	ADJ
fcis-9970	81	7	science	science	NOUN
fcis-9970	81	8	(	(	PUNCT
fcis-9970	81	9	natural	natural	ADJ
fcis-9970	81	10	science	science	NOUN
fcis-9970	81	11	)	)	PUNCT
fcis-9970	81	12	program	program	NOUN
fcis-9970	81	13	for	for	ADP
fcis-9970	81	14	higher	high	ADJ
fcis-9970	81	15	education	education	NOUN
fcis-9970	81	16	institutions	institution	NOUN
fcis-9970	81	17	in	in	ADP
fcis-9970	81	18	jiangsu	jiangsu	PROPN
fcis-9970	81	19	province	province	PROPN
fcis-9970	81	20	(	(	PUNCT
fcis-9970	81	21	project	project	NOUN
fcis-9970	81	22	no	no	NOUN
fcis-9970	81	23	.	.	NOUN
fcis-9970	81	24	21kjd530002	21kjd530002	NUM
fcis-9970	81	25	)	)	PUNCT
fcis-9970	81	26	.	.	PUNCT
fcis-9970	82	1	references	reference	NOUN
fcis-9970	82	2	[	[	X
fcis-9970	82	3	1	1	NUM
fcis-9970	82	4	]	]	X
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fcis-9970	82	6	,	,	PUNCT
fcis-9970	82	7	y.	y.	PROPN
fcis-9970	82	8	q.	q.	PROPN
fcis-9970	82	9	;	;	PUNCT
fcis-9970	82	10	shi	shi	PROPN
fcis-9970	82	11	,	,	PUNCT
fcis-9970	82	12	j.	j.	PROPN
fcis-9970	82	13	y.	y.	PROPN
fcis-9970	82	14	;	;	PUNCT
fcis-9970	82	15	wang	wang	PROPN
fcis-9970	82	16	,	,	PUNCT
fcis-9970	82	17	z.	z.	PROPN
fcis-9970	82	18	l.	l.	PROPN
fcis-9970	82	19	system	system	NOUN
fcis-9970	82	20	-	-	PUNCT
fcis-9970	82	21	level	level	NOUN
fcis-9970	82	22	operational	operational	ADJ
fcis-9970	82	23	diagnosability	diagnosability	NOUN
fcis-9970	82	24	analysis	analysis	NOUN
fcis-9970	82	25	in	in	ADP
fcis-9970	82	26	quasi	quasi	ADJ
fcis-9970	82	27	real	real	ADJ
fcis-9970	82	28	-	-	PUNCT
fcis-9970	82	29	time	time	NOUN
fcis-9970	82	30	fault	fault	NOUN
fcis-9970	82	31	diagnosis	diagnosis	NOUN
fcis-9970	82	32	:	:	PUNCT
fcis-9970	82	33	the	the	DET
fcis-9970	82	34	probabilistic	probabilistic	ADJ
fcis-9970	82	35	approach	approach	NOUN
fcis-9970	82	36	.	.	PUNCT
fcis-9970	83	1	journal	journal	NOUN
fcis-9970	83	2	of	of	ADP
fcis-9970	83	3	process	process	NOUN
fcis-9970	83	4	control	control	NOUN
fcis-9970	83	5	.	.	PUNCT
fcis-9970	84	1	2014	2014	NUM
fcis-9970	84	2	,	,	PUNCT
fcis-9970	84	3	24(9	24(9	NUM
fcis-9970	84	4	):	):	PUNCT
fcis-9970	84	5	1444	1444	NUM
fcis-9970	84	6	-	-	SYM
fcis-9970	84	7	1453	1453	NUM
fcis-9970	84	8	.	.	PUNCT
fcis-9970	85	1	[	[	X
fcis-9970	85	2	2	2	NUM
fcis-9970	85	3	]	]	PUNCT
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fcis-9970	85	5	,	,	PUNCT
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fcis-9970	85	7	;	;	PUNCT
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fcis-9970	85	9	,	,	PUNCT
fcis-9970	85	10	z.	z.	PROPN
fcis-9970	85	11	;	;	PUNCT
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fcis-9970	85	13	,	,	PUNCT
fcis-9970	85	14	w.	w.	PROPN
fcis-9970	85	15	;	;	PUNCT
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fcis-9970	85	17	,	,	PUNCT
fcis-9970	85	18	x.	x.	NOUN
fcis-9970	85	19	;	;	PUNCT
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fcis-9970	85	21	,	,	PUNCT
fcis-9970	85	22	y.	y.	PROPN
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fcis-9970	85	29	vector	vector	NOUN
fcis-9970	85	30	machine	machine	NOUN
fcis-9970	85	31	(	(	PUNCT
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fcis-9970	85	33	)	)	PUNCT
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fcis-9970	85	39	processes	process	NOUN
fcis-9970	85	40	.	.	PUNCT
fcis-9970	86	1	ieee	ieee	NOUN
fcis-9970	86	2	transactions	transaction	NOUN
fcis-9970	86	3	on	on	ADP
fcis-9970	86	4	automation	automation	NOUN
fcis-9970	86	5	science	science	NOUN
fcis-9970	86	6	and	and	CCONJ
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fcis-9970	86	8	.	.	PUNCT
fcis-9970	87	1	2013	2013	NUM
fcis-9970	87	2	,	,	PUNCT
fcis-9970	87	3	10(1	10(1	NUM
fcis-9970	87	4	):	):	PUNCT
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fcis-9970	87	6	-	-	SYM
fcis-9970	87	7	136	136	NUM
fcis-9970	87	8	.	.	PUNCT
fcis-9970	88	1	[	[	X
fcis-9970	88	2	3	3	NUM
fcis-9970	88	3	]	]	X
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fcis-9970	88	5	,	,	PUNCT
fcis-9970	88	6	s.	s.	PROPN
fcis-9970	88	7	;	;	PUNCT
fcis-9970	88	8	zattoni	zattoni	PROPN
fcis-9970	88	9	,	,	PUNCT
fcis-9970	88	10	e.	e.	PROPN
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fcis-9970	88	12	control	control	PROPN
fcis-9970	88	13	design	design	NOUN
fcis-9970	88	14	and	and	CCONJ
fcis-9970	88	15	fault	fault	VERB
fcis-9970	88	16	diagnosis	diagnosis	NOUN
fcis-9970	88	17	.	.	PUNCT
fcis-9970	89	1	energies	energy	NOUN
fcis-9970	89	2	.	.	PUNCT
fcis-9970	90	1	2021	2021	NUM
fcis-9970	90	2	,	,	PUNCT
fcis-9970	90	3	14(18	14(18	NUM
fcis-9970	90	4	):	):	PUNCT
fcis-9970	90	5	5699	5699	NUM
fcis-9970	90	6	.	.	PUNCT
fcis-9970	91	1	[	[	X
fcis-9970	91	2	4	4	X
fcis-9970	91	3	]	]	ADJ
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fcis-9970	91	5	f.	f.	PROPN
fcis-9970	91	6	;	;	PUNCT
fcis-9970	91	7	hamed	hamed	PROPN
fcis-9970	91	8	h.	h.	PROPN
fcis-9970	91	9	;	;	PUNCT
fcis-9970	91	10	silvio	silvio	PROPN
fcis-9970	91	11	s.	s.	PROPN
fcis-9970	91	12	fault	fault	VERB
fcis-9970	91	13	diagnosis	diagnosis	NOUN
fcis-9970	91	14	and	and	CCONJ
fcis-9970	91	15	fault	fault	VERB
fcis-9970	91	16	tolerant	tolerant	ADJ
fcis-9970	91	17	control	control	NOUN
fcis-9970	91	18	of	of	ADP
fcis-9970	91	19	wind	wind	NOUN
fcis-9970	91	20	turbines	turbine	NOUN
fcis-9970	91	21	:	:	PUNCT
fcis-9970	91	22	an	an	DET
fcis-9970	91	23	overview	overview	NOUN
fcis-9970	91	24	.	.	PUNCT
fcis-9970	92	1	energies	energy	NOUN
fcis-9970	92	2	.	.	PUNCT
fcis-9970	93	1	2022	2022	NUM
fcis-9970	93	2	,	,	PUNCT
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fcis-9970	93	4	):	):	PUNCT
fcis-9970	93	5	7186	7186	NUM
fcis-9970	93	6	.	.	PUNCT
fcis-9970	94	1	[	[	X
fcis-9970	94	2	5	5	NUM
fcis-9970	94	3	]	]	SYM
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fcis-9970	94	5	,	,	PUNCT
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fcis-9970	94	7	;	;	PUNCT
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fcis-9970	94	9	,	,	PUNCT
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fcis-9970	94	13	diagnosis	diagnosis	NOUN
fcis-9970	94	14	in	in	ADP
fcis-9970	94	15	phase	phase	NOUN
fcis-9970	94	16	-	-	PUNCT
fcis-9970	94	17	tophase	tophase	NOUN
fcis-9970	94	18	fault	fault	NOUN
fcis-9970	94	19	detection	detection	NOUN
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fcis-9970	94	23	wire	wire	NOUN
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fcis-9970	94	25	.	.	PUNCT
fcis-9970	95	1	ieee	ieee	NOUN
fcis-9970	95	2	transactions	transaction	NOUN
fcis-9970	95	3	on	on	ADP
fcis-9970	95	4	power	power	NOUN
fcis-9970	95	5	delivery	delivery	NOUN
fcis-9970	95	6	.	.	PUNCT
fcis-9970	96	1	2021	2021	NUM
fcis-9970	96	2	,	,	PUNCT
fcis-9970	96	3	36(1	36(1	NUM
fcis-9970	96	4	):	):	PUNCT
fcis-9970	96	5	19	19	NUM
fcis-9970	96	6	-	-	SYM
fcis-9970	96	7	29	29	NUM
fcis-9970	96	8	.	.	PUNCT
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fcis-9970	97	5	,	,	PUNCT
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fcis-9970	99	2	,	,	PUNCT
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fcis-9970	99	4	:	:	SYM
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fcis-9970	100	38	.	.	PUNCT
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fcis-9970	101	2	.	.	PUNCT
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fcis-9970	102	2	,	,	PUNCT
fcis-9970	102	3	16(3	16(3	NUM
fcis-9970	102	4	):	):	PUNCT
fcis-9970	102	5	1125	1125	NUM
fcis-9970	102	6	.	.	PUNCT
fcis-9970	103	1	[	[	X
fcis-9970	103	2	8	8	NUM
fcis-9970	103	3	]	]	SYM
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fcis-9970	103	13	,	,	PUNCT
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fcis-9970	104	2	fault	fault	VERB
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fcis-9970	104	4	techniques	technique	NOUN
fcis-9970	104	5	for	for	ADP
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fcis-9970	104	9	:	:	PUNCT
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fcis-9970	104	17	.	.	PUNCT
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fcis-9970	105	2	.	.	PUNCT
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fcis-9970	106	2	,	,	PUNCT
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fcis-9970	106	4	):	):	PUNCT
fcis-9970	106	5	1850	1850	NUM
fcis-9970	106	6	.	.	PUNCT
fcis-9970	107	1	[	[	X
fcis-9970	107	2	9	9	NUM
fcis-9970	107	3	]	]	SYM
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fcis-9970	107	5	,	,	PUNCT
fcis-9970	107	6	y.	y.	PROPN
fcis-9970	107	7	;	;	PUNCT
fcis-9970	107	8	yang	yang	PROPN
fcis-9970	107	9	,	,	PUNCT
fcis-9970	107	10	g.	g.	PROPN
fcis-9970	107	11	;	;	PUNCT
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fcis-9970	107	13	,	,	PUNCT
fcis-9970	107	14	h.	h.	PROPN
fcis-9970	107	15	;	;	PUNCT
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fcis-9970	107	17	,	,	PUNCT
fcis-9970	107	18	h.	h.	PROPN
fcis-9970	107	19	;	;	PUNCT
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fcis-9970	107	21	,	,	PUNCT
fcis-9970	107	22	b.	b.	PROPN
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fcis-9970	107	32	assembly	assembly	NOUN
fcis-9970	107	33	process	process	NOUN
fcis-9970	107	34	.	.	PUNCT
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fcis-9970	108	2	transactions	transaction	NOUN
fcis-9970	108	3	on	on	ADP
fcis-9970	108	4	industrial	industrial	ADJ
fcis-9970	108	5	electronics	electronic	NOUN
fcis-9970	108	6	.	.	PUNCT
fcis-9970	109	1	2023	2023	NUM
fcis-9970	109	2	,	,	PUNCT
fcis-9970	109	3	70(1	70(1	NUM
fcis-9970	109	4	):	):	PUNCT
fcis-9970	109	5	898	898	NUM
fcis-9970	109	6	-	-	SYM
fcis-9970	109	7	906	906	NUM
fcis-9970	109	8	.	.	PUNCT
fcis-9970	110	1	[	[	X
fcis-9970	110	2	10	10	NUM
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fcis-9970	110	5	,	,	PUNCT
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fcis-9970	110	7	;	;	PUNCT
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fcis-9970	110	9	,	,	PUNCT
fcis-9970	110	10	m.s	m.s	PROPN
fcis-9970	110	11	.	.	PROPN
fcis-9970	110	12	;	;	PUNCT
fcis-9970	110	13	capozzoli	capozzoli	NOUN
fcis-9970	110	14	,	,	PUNCT
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fcis-9970	110	16	data	data	PROPN
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fcis-9970	110	23	:	:	PUNCT
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fcis-9970	110	30	in	in	ADP
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fcis-9970	110	32	.	.	PUNCT
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fcis-9970	111	2	.	.	PUNCT
fcis-9970	112	1	2023	2023	NUM
fcis-9970	112	2	,	,	PUNCT
fcis-9970	112	3	16(2	16(2	NUM
fcis-9970	112	4	):	):	PUNCT
fcis-9970	112	5	854	854	NUM
fcis-9970	112	6	.	.	PUNCT