id	sid	tid	token	lemma	pos
fcis-23856	1	1	frontiers	frontier	NOUN
fcis-23856	1	2	in	in	ADP
fcis-23856	1	3	computing	computing	NOUN
fcis-23856	1	4	and	and	CCONJ
fcis-23856	1	5	intelligent	intelligent	ADJ
fcis-23856	1	6	systems	system	NOUN
fcis-23856	1	7	issn	issn	VERB
fcis-23856	1	8	:	:	PUNCT
fcis-23856	1	9	2832	2832	NUM
fcis-23856	1	10	-	-	SYM
fcis-23856	1	11	6024	6024	NUM
fcis-23856	1	12	|	|	NOUN
fcis-23856	1	13	vol	vol	NOUN
fcis-23856	1	14	.	.	PROPN
fcis-23856	2	1	9	9	NUM
fcis-23856	2	2	,	,	PUNCT
fcis-23856	2	3	no	no	INTJ
fcis-23856	2	4	.	.	NOUN
fcis-23856	2	5	1	1	NUM
fcis-23856	2	6	,	,	PUNCT
fcis-23856	2	7	2024	2024	NUM
fcis-23856	2	8	33	33	NUM
fcis-23856	2	9	water	water	NOUN
fcis-23856	2	10	quality	quality	NOUN
fcis-23856	2	11	image	image	NOUN
fcis-23856	2	12	recognition	recognition	NOUN
fcis-23856	2	13	based	base	VERB
fcis-23856	2	14	on	on	ADP
fcis-23856	2	15	svm	svm	PROPN
fcis-23856	2	16	xinpeng	xinpeng	PROPN
fcis-23856	2	17	qin	qin	PROPN
fcis-23856	2	18	school	school	NOUN
fcis-23856	2	19	of	of	ADP
fcis-23856	2	20	computer	computer	NOUN
fcis-23856	2	21	,	,	PUNCT
fcis-23856	2	22	guangdong	guangdong	PROPN
fcis-23856	2	23	university	university	PROPN
fcis-23856	2	24	of	of	ADP
fcis-23856	2	25	petrochemical	petrochemical	NOUN
fcis-23856	2	26	technology	technology	NOUN
fcis-23856	2	27	,	,	PUNCT
fcis-23856	2	28	maoming	maoming	NOUN
fcis-23856	2	29	guangdong	guangdong	PROPN
fcis-23856	2	30	,	,	PUNCT
fcis-23856	2	31	525000	525000	NUM
fcis-23856	2	32	,	,	PUNCT
fcis-23856	3	1	china	china	PROPN
fcis-23856	3	2	abstract	abstract	NOUN
fcis-23856	3	3	:	:	PUNCT
fcis-23856	3	4	it	it	PRON
fcis-23856	3	5	is	be	AUX
fcis-23856	3	6	proposed	propose	VERB
fcis-23856	3	7	a	a	DET
fcis-23856	3	8	method	method	NOUN
fcis-23856	3	9	that	that	PRON
fcis-23856	3	10	combines	combine	VERB
fcis-23856	3	11	digital	digital	ADJ
fcis-23856	3	12	image	image	NOUN
fcis-23856	3	13	processing	processing	NOUN
fcis-23856	3	14	technology	technology	NOUN
fcis-23856	3	15	with	with	ADP
fcis-23856	3	16	machine	machine	NOUN
fcis-23856	3	17	learning	learning	NOUN
fcis-23856	3	18	algorithm	algorithm	NOUN
fcis-23856	3	19	.	.	PUNCT
fcis-23856	4	1	firstly	firstly	ADV
fcis-23856	4	2	,	,	PUNCT
fcis-23856	4	3	python	python	PROPN
fcis-23856	4	4	is	be	AUX
fcis-23856	4	5	used	use	VERB
fcis-23856	4	6	to	to	PART
fcis-23856	4	7	extract	extract	VERB
fcis-23856	4	8	the	the	DET
fcis-23856	4	9	features	feature	NOUN
fcis-23856	4	10	of	of	ADP
fcis-23856	4	11	water	water	NOUN
fcis-23856	4	12	sample	sample	NOUN
fcis-23856	4	13	image	image	NOUN
fcis-23856	4	14	,	,	PUNCT
fcis-23856	4	15	the	the	DET
fcis-23856	4	16	data	datum	NOUN
fcis-23856	4	17	were	be	AUX
fcis-23856	4	18	pre	pre	ADJ
fcis-23856	4	19	-	-	VERB
fcis-23856	4	20	processed	process	VERB
fcis-23856	4	21	,	,	PUNCT
fcis-23856	4	22	divided	divide	VERB
fcis-23856	4	23	into	into	ADP
fcis-23856	4	24	training	training	NOUN
fcis-23856	4	25	and	and	CCONJ
fcis-23856	4	26	test	test	NOUN
fcis-23856	4	27	sets	set	NOUN
fcis-23856	4	28	,	,	PUNCT
fcis-23856	4	29	and	and	CCONJ
fcis-23856	4	30	the	the	DET
fcis-23856	4	31	svm	svm	NOUN
fcis-23856	4	32	is	be	AUX
fcis-23856	4	33	used	use	VERB
fcis-23856	4	34	to	to	PART
fcis-23856	4	35	construct	construct	VERB
fcis-23856	4	36	water	water	NOUN
fcis-23856	4	37	quality	quality	NOUN
fcis-23856	4	38	classification	classification	NOUN
fcis-23856	4	39	models	model	NOUN
fcis-23856	4	40	.	.	PUNCT
fcis-23856	5	1	in	in	ADP
fcis-23856	5	2	the	the	DET
fcis-23856	5	3	work	work	NOUN
fcis-23856	5	4	of	of	ADP
fcis-23856	5	5	classifier	classifier	NOUN
fcis-23856	5	6	evaluation	evaluation	NOUN
fcis-23856	5	7	,	,	PUNCT
fcis-23856	5	8	we	we	PRON
fcis-23856	5	9	need	need	VERB
fcis-23856	5	10	to	to	PART
fcis-23856	5	11	combine	combine	VERB
fcis-23856	5	12	the	the	DET
fcis-23856	5	13	classifier	classifier	PROPN
fcis-23856	5	14	model	model	NOUN
fcis-23856	5	15	performance	performance	NOUN
fcis-23856	5	16	evaluation	evaluation	NOUN
fcis-23856	5	17	indicators	indicator	NOUN
fcis-23856	5	18	:	:	PUNCT
fcis-23856	5	19	accuracy	accuracy	NOUN
fcis-23856	5	20	,	,	PUNCT
fcis-23856	5	21	recall	recall	NOUN
fcis-23856	5	22	,	,	PUNCT
fcis-23856	5	23	f	f	NOUN
fcis-23856	5	24	-	-	PUNCT
fcis-23856	5	25	value	value	NOUN
fcis-23856	5	26	.	.	PUNCT
fcis-23856	6	1	according	accord	VERB
fcis-23856	6	2	to	to	ADP
fcis-23856	6	3	the	the	DET
fcis-23856	6	4	test	test	NOUN
fcis-23856	6	5	results	result	NOUN
fcis-23856	6	6	,	,	PUNCT
fcis-23856	6	7	the	the	DET
fcis-23856	6	8	accuracy	accuracy	NOUN
fcis-23856	6	9	of	of	ADP
fcis-23856	6	10	svm	svm	PROPN
fcis-23856	6	11	is	be	AUX
fcis-23856	6	12	more	more	ADJ
fcis-23856	6	13	than	than	ADP
fcis-23856	6	14	90	90	NUM
fcis-23856	6	15	%	%	NOUN
fcis-23856	6	16	.	.	PUNCT
fcis-23856	7	1	keywords	keyword	NOUN
fcis-23856	7	2	:	:	PUNCT
fcis-23856	7	3	water	water	NOUN
fcis-23856	7	4	quality	quality	NOUN
fcis-23856	7	5	image	image	NOUN
fcis-23856	7	6	;	;	PUNCT
fcis-23856	7	7	color	color	NOUN
fcis-23856	7	8	moment	moment	NOUN
fcis-23856	7	9	;	;	PUNCT
fcis-23856	7	10	svm	svm	ADJ
fcis-23856	7	11	.	.	PROPN
fcis-23856	7	12	1	1	NUM
fcis-23856	7	13	.	.	X
fcis-23856	7	14	introduction	introduction	NOUN
fcis-23856	7	15	for	for	ADP
fcis-23856	7	16	aquaculture	aquaculture	NOUN
fcis-23856	7	17	,	,	PUNCT
fcis-23856	7	18	it	it	PRON
fcis-23856	7	19	is	be	AUX
fcis-23856	7	20	important	important	ADJ
fcis-23856	7	21	to	to	PART
fcis-23856	7	22	choose	choose	VERB
fcis-23856	7	23	non	non	ADJ
fcis-23856	7	24	-	-	ADJ
fcis-23856	7	25	polluted	polluted	ADJ
fcis-23856	7	26	waters	water	NOUN
fcis-23856	7	27	.	.	PUNCT
fcis-23856	8	1	by	by	ADP
fcis-23856	8	2	observing	observe	VERB
fcis-23856	8	3	the	the	DET
fcis-23856	8	4	color	color	NOUN
fcis-23856	8	5	of	of	ADP
fcis-23856	8	6	the	the	DET
fcis-23856	8	7	water	water	NOUN
fcis-23856	8	8	,	,	PUNCT
fcis-23856	8	9	experienced	experience	VERB
fcis-23856	8	10	fishermen	fisherman	NOUN
fcis-23856	8	11	can	can	AUX
fcis-23856	8	12	make	make	VERB
fcis-23856	8	13	a	a	DET
fcis-23856	8	14	preliminary	preliminary	ADJ
fcis-23856	8	15	determination	determination	NOUN
fcis-23856	8	16	of	of	ADP
fcis-23856	8	17	whether	whether	SCONJ
fcis-23856	8	18	the	the	DET
fcis-23856	8	19	water	water	NOUN
fcis-23856	8	20	quality	quality	NOUN
fcis-23856	8	21	is	be	AUX
fcis-23856	8	22	suitable	suitable	ADJ
fcis-23856	8	23	for	for	ADP
fcis-23856	8	24	fish	fish	NOUN
fcis-23856	8	25	growth	growth	NOUN
fcis-23856	8	26	.	.	PUNCT
fcis-23856	9	1	water	water	NOUN
fcis-23856	9	2	quality	quality	NOUN
fcis-23856	9	3	assessment	assessment	NOUN
fcis-23856	9	4	is	be	AUX
fcis-23856	9	5	not	not	PART
fcis-23856	9	6	only	only	ADV
fcis-23856	9	7	based	base	VERB
fcis-23856	9	8	on	on	ADP
fcis-23856	9	9	the	the	DET
fcis-23856	9	10	current	current	ADJ
fcis-23856	9	11	water	water	NOUN
fcis-23856	9	12	quality	quality	NOUN
fcis-23856	9	13	,	,	PUNCT
fcis-23856	9	14	but	but	CCONJ
fcis-23856	9	15	also	also	ADV
fcis-23856	9	16	needs	need	VERB
fcis-23856	9	17	to	to	PART
fcis-23856	9	18	consider	consider	VERB
fcis-23856	9	19	the	the	DET
fcis-23856	9	20	potential	potential	ADJ
fcis-23856	9	21	drift	drift	NOUN
fcis-23856	9	22	and	and	CCONJ
fcis-23856	9	23	release	release	NOUN
fcis-23856	9	24	of	of	ADP
fcis-23856	9	25	harmful	harmful	ADJ
fcis-23856	9	26	substances	substance	NOUN
fcis-23856	9	27	in	in	ADP
fcis-23856	9	28	order	order	NOUN
fcis-23856	9	29	to	to	PART
fcis-23856	9	30	predict	predict	VERB
fcis-23856	9	31	the	the	DET
fcis-23856	9	32	trend	trend	NOUN
fcis-23856	9	33	of	of	ADP
fcis-23856	9	34	water	water	NOUN
fcis-23856	9	35	changes	change	NOUN
fcis-23856	9	36	in	in	ADP
fcis-23856	9	37	the	the	DET
fcis-23856	9	38	future	future	NOUN
fcis-23856	9	39	,	,	PUNCT
fcis-23856	9	40	so	so	SCONJ
fcis-23856	9	41	as	as	SCONJ
fcis-23856	9	42	to	to	PART
fcis-23856	9	43	take	take	VERB
fcis-23856	9	44	preventive	preventive	ADJ
fcis-23856	9	45	measures	measure	NOUN
fcis-23856	9	46	in	in	ADP
fcis-23856	9	47	advance	advance	NOUN
fcis-23856	9	48	.	.	PUNCT
fcis-23856	10	1	at	at	ADP
fcis-23856	10	2	present	present	ADJ
fcis-23856	10	3	,	,	PUNCT
fcis-23856	10	4	the	the	DET
fcis-23856	10	5	on	on	ADP
fcis-23856	10	6	-	-	PUNCT
fcis-23856	10	7	line	line	NOUN
fcis-23856	10	8	monitoring	monitoring	NOUN
fcis-23856	10	9	system	system	NOUN
fcis-23856	10	10	for	for	ADP
fcis-23856	10	11	ammonia	ammonia	NOUN
fcis-23856	10	12	nitrogen	nitrogen	NOUN
fcis-23856	10	13	,	,	PUNCT
fcis-23856	10	14	temperature	temperature	NOUN
fcis-23856	10	15	,	,	PUNCT
fcis-23856	10	16	reduction	reduction	NOUN
fcis-23856	10	17	potential	potential	NOUN
fcis-23856	10	18	,	,	PUNCT
fcis-23856	10	19	ph	ph	ADJ
fcis-23856	10	20	and	and	CCONJ
fcis-23856	10	21	dissolved	dissolve	VERB
fcis-23856	10	22	oxygen	oxygen	NOUN
fcis-23856	10	23	has	have	AUX
fcis-23856	10	24	become	become	VERB
fcis-23856	10	25	an	an	DET
fcis-23856	10	26	important	important	ADJ
fcis-23856	10	27	means	mean	NOUN
fcis-23856	10	28	of	of	ADP
fcis-23856	10	29	water	water	NOUN
fcis-23856	10	30	quality	quality	NOUN
fcis-23856	10	31	assessment	assessment	NOUN
fcis-23856	10	32	.	.	PUNCT
fcis-23856	11	1	based	base	VERB
fcis-23856	11	2	on	on	ADP
fcis-23856	11	3	the	the	DET
fcis-23856	11	4	existing	exist	VERB
fcis-23856	11	5	standards	standard	NOUN
fcis-23856	11	6	of	of	ADP
fcis-23856	11	7	aquaculture	aquaculture	NOUN
fcis-23856	11	8	water	water	NOUN
fcis-23856	11	9	quality	quality	NOUN
fcis-23856	11	10	and	and	CCONJ
fcis-23856	11	11	the	the	DET
fcis-23856	11	12	effect	effect	NOUN
fcis-23856	11	13	of	of	ADP
fcis-23856	11	14	different	different	ADJ
fcis-23856	11	15	water	water	NOUN
fcis-23856	11	16	quality	quality	NOUN
fcis-23856	11	17	conditions	condition	NOUN
fcis-23856	11	18	on	on	ADP
fcis-23856	11	19	aquatic	aquatic	ADJ
fcis-23856	11	20	biological	biological	ADJ
fcis-23856	11	21	activities	activity	NOUN
fcis-23856	11	22	,	,	PUNCT
fcis-23856	11	23	the	the	DET
fcis-23856	11	24	correlation	correlation	NOUN
fcis-23856	11	25	and	and	CCONJ
fcis-23856	11	26	influence	influence	NOUN
fcis-23856	11	27	degree	degree	NOUN
fcis-23856	11	28	of	of	ADP
fcis-23856	11	29	water	water	NOUN
fcis-23856	11	30	quality	quality	NOUN
fcis-23856	11	31	indexes	index	NOUN
fcis-23856	11	32	on	on	ADP
fcis-23856	11	33	the	the	DET
fcis-23856	11	34	overall	overall	ADJ
fcis-23856	11	35	evaluation	evaluation	NOUN
fcis-23856	11	36	of	of	ADP
fcis-23856	11	37	water	water	NOUN
fcis-23856	11	38	quality	quality	NOUN
fcis-23856	11	39	can	can	AUX
fcis-23856	11	40	be	be	AUX
fcis-23856	11	41	deeply	deeply	ADV
fcis-23856	11	42	discussed	discuss	VERB
fcis-23856	11	43	.	.	PUNCT
fcis-23856	12	1	in	in	ADP
fcis-23856	12	2	the	the	DET
fcis-23856	12	3	traditional	traditional	ADJ
fcis-23856	12	4	aquaculture	aquaculture	NOUN
fcis-23856	12	5	environment	environment	NOUN
fcis-23856	12	6	,	,	PUNCT
fcis-23856	12	7	the	the	DET
fcis-23856	12	8	naked	naked	ADJ
fcis-23856	12	9	eye	eye	NOUN
fcis-23856	12	10	observation	observation	NOUN
fcis-23856	12	11	and	and	CCONJ
fcis-23856	12	12	the	the	DET
fcis-23856	12	13	experience	experience	NOUN
fcis-23856	12	14	judgment	judgment	NOUN
fcis-23856	12	15	always	always	ADV
fcis-23856	12	16	occupy	occupy	VERB
fcis-23856	12	17	the	the	DET
fcis-23856	12	18	dominant	dominant	ADJ
fcis-23856	12	19	position	position	NOUN
fcis-23856	12	20	,	,	PUNCT
fcis-23856	12	21	although	although	SCONJ
fcis-23856	12	22	this	this	DET
fcis-23856	12	23	kind	kind	NOUN
fcis-23856	12	24	of	of	ADP
fcis-23856	12	25	method	method	NOUN
fcis-23856	12	26	has	have	VERB
fcis-23856	12	27	the	the	DET
fcis-23856	12	28	certain	certain	ADJ
fcis-23856	12	29	practicability	practicability	NOUN
fcis-23856	12	30	,	,	PUNCT
fcis-23856	12	31	but	but	CCONJ
fcis-23856	12	32	its	its	PRON
fcis-23856	12	33	observation	observation	NOUN
fcis-23856	12	34	result	result	NOUN
fcis-23856	12	35	is	be	AUX
fcis-23856	12	36	often	often	ADV
fcis-23856	12	37	influenced	influence	VERB
fcis-23856	12	38	by	by	ADP
fcis-23856	12	39	the	the	DET
fcis-23856	12	40	subjectivity	subjectivity	NOUN
fcis-23856	12	41	and	and	CCONJ
fcis-23856	12	42	the	the	DET
fcis-23856	12	43	instability	instability	NOUN
fcis-23856	12	44	,	,	PUNCT
fcis-23856	12	45	easy	easy	ADJ
fcis-23856	12	46	to	to	PART
fcis-23856	12	47	cause	cause	VERB
fcis-23856	12	48	observational	observational	ADJ
fcis-23856	12	49	bias	bias	NOUN
fcis-23856	12	50	.	.	PUNCT
fcis-23856	13	1	therefore	therefore	ADV
fcis-23856	13	2	,	,	PUNCT
fcis-23856	13	3	it	it	PRON
fcis-23856	13	4	is	be	AUX
fcis-23856	13	5	urgent	urgent	ADJ
fcis-23856	13	6	to	to	PART
fcis-23856	13	7	seek	seek	VERB
fcis-23856	13	8	a	a	DET
fcis-23856	13	9	more	more	ADV
fcis-23856	13	10	stable	stable	ADJ
fcis-23856	13	11	and	and	CCONJ
fcis-23856	13	12	objective	objective	ADJ
fcis-23856	13	13	quantitative	quantitative	ADJ
fcis-23856	13	14	analysis	analysis	NOUN
fcis-23856	13	15	method	method	NOUN
fcis-23856	13	16	for	for	ADP
fcis-23856	13	17	its	its	PRON
fcis-23856	13	18	wide	wide	ADJ
fcis-23856	13	19	application	application	NOUN
fcis-23856	13	20	.	.	PUNCT
fcis-23856	14	1	with	with	ADP
fcis-23856	14	2	the	the	DET
fcis-23856	14	3	rapid	rapid	ADJ
fcis-23856	14	4	development	development	NOUN
fcis-23856	14	5	of	of	ADP
fcis-23856	14	6	computer	computer	NOUN
fcis-23856	14	7	vision	vision	NOUN
fcis-23856	14	8	technology	technology	NOUN
fcis-23856	14	9	,	,	PUNCT
fcis-23856	14	10	using	use	VERB
fcis-23856	14	11	machine	machine	NOUN
fcis-23856	14	12	vision	vision	NOUN
fcis-23856	14	13	technology	technology	NOUN
fcis-23856	14	14	to	to	PART
fcis-23856	14	15	replace	replace	VERB
fcis-23856	14	16	artificial	artificial	ADJ
fcis-23856	14	17	vision	vision	NOUN
fcis-23856	14	18	has	have	AUX
fcis-23856	14	19	become	become	VERB
fcis-23856	14	20	the	the	DET
fcis-23856	14	21	first	first	ADJ
fcis-23856	14	22	choice	choice	NOUN
fcis-23856	14	23	in	in	ADP
fcis-23856	14	24	many	many	ADJ
fcis-23856	14	25	areas	area	NOUN
fcis-23856	14	26	of	of	ADP
fcis-23856	14	27	industrial	industrial	ADJ
fcis-23856	14	28	production	production	NOUN
fcis-23856	14	29	,	,	PUNCT
fcis-23856	14	30	which	which	PRON
fcis-23856	14	31	has	have	AUX
fcis-23856	14	32	also	also	ADV
fcis-23856	14	33	brought	bring	VERB
fcis-23856	14	34	new	new	ADJ
fcis-23856	14	35	technical	technical	ADJ
fcis-23856	14	36	support	support	NOUN
fcis-23856	14	37	for	for	ADP
fcis-23856	14	38	aquaculture	aquaculture	NOUN
fcis-23856	14	39	.	.	PUNCT
fcis-23856	15	1	in	in	ADP
fcis-23856	15	2	recent	recent	ADJ
fcis-23856	15	3	years	year	NOUN
fcis-23856	15	4	,	,	PUNCT
fcis-23856	15	5	with	with	ADP
fcis-23856	15	6	the	the	DET
fcis-23856	15	7	progress	progress	NOUN
fcis-23856	15	8	of	of	ADP
fcis-23856	15	9	science	science	NOUN
fcis-23856	15	10	and	and	CCONJ
fcis-23856	15	11	technology	technology	NOUN
fcis-23856	15	12	,	,	PUNCT
fcis-23856	15	13	water	water	NOUN
fcis-23856	15	14	quality	quality	NOUN
fcis-23856	15	15	model	model	NOUN
fcis-23856	15	16	research	research	NOUN
fcis-23856	15	17	more	more	ADV
fcis-23856	15	18	mature	mature	ADJ
fcis-23856	15	19	,	,	PUNCT
fcis-23856	15	20	various	various	ADJ
fcis-23856	15	21	models	model	NOUN
fcis-23856	15	22	emerge	emerge	VERB
fcis-23856	15	23	one	one	NUM
fcis-23856	15	24	after	after	ADP
fcis-23856	15	25	another	another	PRON
fcis-23856	15	26	.	.	PUNCT
fcis-23856	16	1	among	among	ADP
fcis-23856	16	2	them	they	PRON
fcis-23856	16	3	,	,	PUNCT
fcis-23856	16	4	wasp	wasp	NOUN
fcis-23856	16	5	model	model	NOUN
fcis-23856	16	6	,	,	PUNCT
fcis-23856	16	7	efdc	efdc	ADJ
fcis-23856	16	8	model	model	NOUN
fcis-23856	16	9	,	,	PUNCT
fcis-23856	16	10	quasar	quasar	ADJ
fcis-23856	16	11	model	model	NOUN
fcis-23856	17	1	[	[	X
fcis-23856	17	2	1	1	NUM
fcis-23856	17	3	]	]	PUNCT
fcis-23856	17	4	and	and	CCONJ
fcis-23856	17	5	mike	mike	PROPN
fcis-23856	17	6	series	series	PROPN
fcis-23856	17	7	model	model	PROPN
fcis-23856	17	8	all	all	PRON
fcis-23856	17	9	provide	provide	VERB
fcis-23856	17	10	strong	strong	ADJ
fcis-23856	17	11	support	support	NOUN
fcis-23856	17	12	for	for	ADP
fcis-23856	17	13	water	water	NOUN
fcis-23856	17	14	quality	quality	NOUN
fcis-23856	17	15	prediction	prediction	NOUN
fcis-23856	17	16	and	and	CCONJ
fcis-23856	17	17	control	control	NOUN
fcis-23856	17	18	in	in	ADP
fcis-23856	17	19	different	different	ADJ
fcis-23856	17	20	degrees	degree	NOUN
fcis-23856	17	21	.	.	PUNCT
fcis-23856	18	1	in	in	ADP
fcis-23856	18	2	addition	addition	NOUN
fcis-23856	18	3	,	,	PUNCT
fcis-23856	18	4	the	the	DET
fcis-23856	18	5	modeling	modeling	NOUN
fcis-23856	18	6	method	method	NOUN
fcis-23856	18	7	based	base	VERB
fcis-23856	18	8	on	on	ADP
fcis-23856	18	9	artificial	artificial	ADJ
fcis-23856	18	10	neural	neural	ADJ
fcis-23856	18	11	network	network	NOUN
fcis-23856	18	12	[	[	X
fcis-23856	18	13	2	2	NUM
fcis-23856	18	14	]	]	PUNCT
fcis-23856	18	15	also	also	ADV
fcis-23856	18	16	provides	provide	VERB
fcis-23856	18	17	a	a	DET
fcis-23856	18	18	new	new	ADJ
fcis-23856	18	19	idea	idea	NOUN
fcis-23856	18	20	for	for	ADP
fcis-23856	18	21	water	water	NOUN
fcis-23856	18	22	quality	quality	NOUN
fcis-23856	18	23	prediction	prediction	NOUN
fcis-23856	18	24	.	.	PUNCT
fcis-23856	19	1	compared	compare	VERB
fcis-23856	19	2	with	with	ADP
fcis-23856	19	3	foreign	foreign	ADJ
fcis-23856	19	4	countries	country	NOUN
fcis-23856	19	5	,	,	PUNCT
fcis-23856	19	6	the	the	DET
fcis-23856	19	7	research	research	NOUN
fcis-23856	19	8	on	on	ADP
fcis-23856	19	9	water	water	NOUN
fcis-23856	19	10	quality	quality	NOUN
fcis-23856	19	11	model	model	NOUN
fcis-23856	19	12	started	start	VERB
fcis-23856	19	13	a	a	DET
fcis-23856	19	14	little	little	ADJ
fcis-23856	19	15	later	later	ADV
fcis-23856	19	16	in	in	ADP
fcis-23856	19	17	china	china	PROPN
fcis-23856	19	18	.	.	PUNCT
fcis-23856	20	1	however	however	ADV
fcis-23856	20	2	,	,	PUNCT
fcis-23856	20	3	since	since	SCONJ
fcis-23856	20	4	the	the	DET
fcis-23856	20	5	early	early	ADJ
fcis-23856	20	6	1980s	1980s	NUM
fcis-23856	20	7	,	,	PUNCT
fcis-23856	20	8	scholars	scholar	NOUN
fcis-23856	20	9	in	in	ADP
fcis-23856	20	10	our	our	PRON
fcis-23856	20	11	country	country	NOUN
fcis-23856	20	12	have	have	AUX
fcis-23856	20	13	put	put	VERB
fcis-23856	20	14	forward	forward	ADV
fcis-23856	20	15	a	a	DET
fcis-23856	20	16	joint	joint	ADJ
fcis-23856	20	17	model	model	NOUN
fcis-23856	20	18	of	of	ADP
fcis-23856	20	19	transport	transport	NOUN
fcis-23856	20	20	and	and	CCONJ
fcis-23856	20	21	transformation	transformation	NOUN
fcis-23856	20	22	in	in	ADP
fcis-23856	20	23	the	the	DET
fcis-23856	20	24	study	study	NOUN
fcis-23856	20	25	of	of	ADP
fcis-23856	20	26	water	water	NOUN
fcis-23856	20	27	environmental	environmental	ADJ
fcis-23856	20	28	capacity	capacity	NOUN
fcis-23856	20	29	of	of	ADP
fcis-23856	20	30	heavy	heavy	ADJ
fcis-23856	20	31	metals	metal	NOUN
fcis-23856	20	32	in	in	ADP
fcis-23856	20	33	xiang	xiang	PROPN
fcis-23856	20	34	river	river	PROPN
fcis-23856	20	35	,	,	PUNCT
fcis-23856	20	36	which	which	PRON
fcis-23856	20	37	marks	mark	VERB
fcis-23856	20	38	the	the	DET
fcis-23856	20	39	beginning	beginning	NOUN
fcis-23856	20	40	of	of	ADP
fcis-23856	20	41	the	the	DET
fcis-23856	20	42	study	study	NOUN
fcis-23856	20	43	of	of	ADP
fcis-23856	20	44	water	water	NOUN
fcis-23856	20	45	quality	quality	NOUN
fcis-23856	20	46	models	model	NOUN
fcis-23856	20	47	in	in	ADP
fcis-23856	20	48	china	china	PROPN
fcis-23856	20	49	.	.	PUNCT
fcis-23856	21	1	at	at	ADP
fcis-23856	21	2	present	present	ADJ
fcis-23856	21	3	,	,	PUNCT
fcis-23856	21	4	the	the	DET
fcis-23856	21	5	methods	method	NOUN
fcis-23856	21	6	of	of	ADP
fcis-23856	21	7	water	water	NOUN
fcis-23856	21	8	quality	quality	NOUN
fcis-23856	21	9	prediction	prediction	NOUN
fcis-23856	21	10	can	can	AUX
fcis-23856	21	11	be	be	AUX
fcis-23856	21	12	divided	divide	VERB
fcis-23856	21	13	into	into	ADP
fcis-23856	21	14	five	five	NUM
fcis-23856	21	15	categories	category	NOUN
fcis-23856	21	16	:	:	PUNCT
fcis-23856	21	17	mathematical	mathematical	ADJ
fcis-23856	21	18	statistics	statistic	NOUN
fcis-23856	21	19	prediction	prediction	NOUN
fcis-23856	21	20	,	,	PUNCT
fcis-23856	21	21	grey	grey	ADJ
fcis-23856	21	22	system	system	NOUN
fcis-23856	21	23	theory	theory	NOUN
fcis-23856	21	24	prediction	prediction	NOUN
fcis-23856	21	25	,	,	PUNCT
fcis-23856	21	26	neural	neural	ADJ
fcis-23856	21	27	network	network	NOUN
fcis-23856	21	28	model	model	NOUN
fcis-23856	21	29	prediction	prediction	NOUN
fcis-23856	21	30	,	,	PUNCT
fcis-23856	21	31	water	water	NOUN
fcis-23856	21	32	quality	quality	NOUN
fcis-23856	21	33	simulation	simulation	NOUN
fcis-23856	21	34	model	model	NOUN
fcis-23856	21	35	prediction	prediction	NOUN
fcis-23856	21	36	and	and	CCONJ
fcis-23856	21	37	chaotic	chaotic	ADJ
fcis-23856	21	38	theory	theory	NOUN
fcis-23856	21	39	prediction	prediction	NOUN
fcis-23856	21	40	[	[	X
fcis-23856	21	41	3	3	NUM
fcis-23856	21	42	]	]	PUNCT
fcis-23856	21	43	.	.	PUNCT
fcis-23856	22	1	these	these	DET
fcis-23856	22	2	methods	method	NOUN
fcis-23856	22	3	can	can	AUX
fcis-23856	22	4	be	be	AUX
fcis-23856	22	5	divided	divide	VERB
fcis-23856	22	6	into	into	ADP
fcis-23856	22	7	explicit	explicit	ADJ
fcis-23856	22	8	relation	relation	NOUN
fcis-23856	22	9	and	and	CCONJ
fcis-23856	22	10	implicit	implicit	ADJ
fcis-23856	22	11	relation	relation	NOUN
fcis-23856	22	12	when	when	SCONJ
fcis-23856	22	13	establishing	establish	VERB
fcis-23856	22	14	the	the	DET
fcis-23856	22	15	mapping	mapping	NOUN
fcis-23856	22	16	relation	relation	NOUN
fcis-23856	22	17	between	between	ADP
fcis-23856	22	18	water	water	NOUN
fcis-23856	22	19	quality	quality	NOUN
fcis-23856	22	20	parameters	parameter	NOUN
fcis-23856	22	21	and	and	CCONJ
fcis-23856	22	22	monitoring	monitor	VERB
fcis-23856	22	23	data	datum	NOUN
fcis-23856	22	24	[	[	X
fcis-23856	22	25	4	4	NUM
fcis-23856	22	26	]	]	PUNCT
fcis-23856	22	27	.	.	PUNCT
fcis-23856	23	1	the	the	DET
fcis-23856	23	2	explicit	explicit	ADJ
fcis-23856	23	3	relation	relation	NOUN
fcis-23856	23	4	is	be	AUX
fcis-23856	23	5	mainly	mainly	ADV
fcis-23856	23	6	realized	realize	VERB
fcis-23856	23	7	by	by	ADP
fcis-23856	23	8	linear	linear	PROPN
fcis-23856	23	9	model	model	NOUN
fcis-23856	23	10	,	,	PUNCT
fcis-23856	23	11	which	which	PRON
fcis-23856	23	12	is	be	AUX
fcis-23856	23	13	easy	easy	ADJ
fcis-23856	23	14	to	to	PART
fcis-23856	23	15	operate	operate	VERB
fcis-23856	23	16	,	,	PUNCT
fcis-23856	23	17	but	but	CCONJ
fcis-23856	23	18	its	its	PRON
fcis-23856	23	19	reliability	reliability	NOUN
fcis-23856	23	20	needs	need	VERB
fcis-23856	23	21	to	to	PART
fcis-23856	23	22	be	be	AUX
fcis-23856	23	23	improved	improve	VERB
fcis-23856	23	24	[	[	X
fcis-23856	23	25	5	5	NUM
fcis-23856	23	26	]	]	PUNCT
fcis-23856	23	27	,	,	PUNCT
fcis-23856	23	28	while	while	SCONJ
fcis-23856	23	29	the	the	DET
fcis-23856	23	30	implicit	implicit	ADJ
fcis-23856	23	31	relation	relation	NOUN
fcis-23856	23	32	such	such	ADJ
fcis-23856	23	33	as	as	ADP
fcis-23856	23	34	artificial	artificial	ADJ
fcis-23856	23	35	neural	neural	ADJ
fcis-23856	23	36	network	network	NOUN
fcis-23856	23	37	is	be	AUX
fcis-23856	23	38	faced	face	VERB
fcis-23856	23	39	with	with	ADP
fcis-23856	23	40	the	the	DET
fcis-23856	23	41	problems	problem	NOUN
fcis-23856	23	42	of	of	ADP
fcis-23856	23	43	network	network	NOUN
fcis-23856	23	44	structure	structure	NOUN
fcis-23856	23	45	determination	determination	NOUN
fcis-23856	23	46	,	,	PUNCT
fcis-23856	23	47	over	over	ADV
fcis-23856	23	48	-	-	PUNCT
fcis-23856	23	49	fitting	fit	VERB
fcis-23856	23	50	and	and	CCONJ
fcis-23856	23	51	under	under	ADV
fcis-23856	23	52	-	-	PUNCT
fcis-23856	23	53	fitting	fit	VERB
fcis-23856	24	1	[	[	X
fcis-23856	24	2	6	6	NUM
fcis-23856	24	3	]	]	PUNCT
fcis-23856	24	4	.	.	PUNCT
fcis-23856	25	1	in	in	ADP
fcis-23856	25	2	order	order	NOUN
fcis-23856	25	3	to	to	PART
fcis-23856	25	4	solve	solve	VERB
fcis-23856	25	5	these	these	DET
fcis-23856	25	6	problems	problem	NOUN
fcis-23856	25	7	,	,	PUNCT
fcis-23856	25	8	the	the	DET
fcis-23856	25	9	statistical	statistical	ADJ
fcis-23856	25	10	learning	learning	NOUN
fcis-23856	25	11	theory	theory	NOUN
fcis-23856	25	12	[	[	X
fcis-23856	25	13	7	7	X
fcis-23856	25	14	]	]	PUNCT
fcis-23856	25	15	and	and	CCONJ
fcis-23856	25	16	its	its	PRON
fcis-23856	25	17	support	support	NOUN
fcis-23856	25	18	vector	vector	NOUN
fcis-23856	25	19	machine	machine	NOUN
fcis-23856	25	20	[	[	X
fcis-23856	25	21	8	8	NUM
fcis-23856	25	22	]	]	X
fcis-23856	25	23	methods	method	NOUN
fcis-23856	25	24	have	have	AUX
fcis-23856	25	25	gradually	gradually	ADV
fcis-23856	25	26	been	be	AUX
fcis-23856	25	27	paid	pay	VERB
fcis-23856	25	28	attention	attention	NOUN
fcis-23856	25	29	to	to	ADP
fcis-23856	25	30	and	and	CCONJ
fcis-23856	25	31	become	become	VERB
fcis-23856	25	32	one	one	NUM
fcis-23856	25	33	of	of	ADP
fcis-23856	25	34	the	the	DET
fcis-23856	25	35	hot	hot	ADJ
fcis-23856	25	36	spots	spot	NOUN
fcis-23856	25	37	in	in	ADP
fcis-23856	25	38	the	the	DET
fcis-23856	25	39	current	current	ADJ
fcis-23856	25	40	research	research	NOUN
fcis-23856	25	41	of	of	ADP
fcis-23856	25	42	water	water	NOUN
fcis-23856	25	43	quality	quality	NOUN
fcis-23856	25	44	prediction	prediction	NOUN
fcis-23856	25	45	.	.	PUNCT
fcis-23856	26	1	in	in	ADP
fcis-23856	26	2	this	this	DET
fcis-23856	26	3	thesis	thesis	NOUN
fcis-23856	26	4	,	,	PUNCT
fcis-23856	26	5	we	we	PRON
fcis-23856	26	6	first	first	ADV
fcis-23856	26	7	use	use	VERB
fcis-23856	26	8	python	python	NOUN
fcis-23856	26	9	to	to	ADP
fcis-23856	26	10	data	datum	NOUN
fcis-23856	26	11	pre	pre	ADJ
fcis-23856	26	12	-	-	ADJ
fcis-23856	26	13	processing	process	VERB
fcis-23856	26	14	the	the	DET
fcis-23856	26	15	water	water	NOUN
fcis-23856	26	16	sample	sample	NOUN
fcis-23856	26	17	image	image	NOUN
fcis-23856	26	18	,	,	PUNCT
fcis-23856	26	19	then	then	ADV
fcis-23856	26	20	convert	convert	VERB
fcis-23856	26	21	the	the	DET
fcis-23856	26	22	image	image	NOUN
fcis-23856	26	23	information	information	NOUN
fcis-23856	26	24	into	into	ADP
fcis-23856	26	25	data	datum	NOUN
fcis-23856	26	26	information	information	NOUN
fcis-23856	27	1	[	[	X
fcis-23856	27	2	9	9	NUM
fcis-23856	27	3	]	]	PUNCT
fcis-23856	27	4	,	,	PUNCT
fcis-23856	27	5	and	and	CCONJ
fcis-23856	27	6	select	select	VERB
fcis-23856	27	7	the	the	DET
fcis-23856	27	8	parameters	parameter	NOUN
fcis-23856	27	9	of	of	ADP
fcis-23856	27	10	color	color	NOUN
fcis-23856	27	11	features	feature	NOUN
fcis-23856	27	12	,	,	PUNCT
fcis-23856	27	13	whether	whether	SCONJ
fcis-23856	27	14	the	the	DET
fcis-23856	27	15	color	color	NOUN
fcis-23856	27	16	moment	moment	NOUN
fcis-23856	27	17	[	[	X
fcis-23856	27	18	10	10	NUM
fcis-23856	27	19	]	]	PUNCT
fcis-23856	27	20	is	be	AUX
fcis-23856	27	21	selected	select	VERB
fcis-23856	27	22	properly	properly	ADV
fcis-23856	27	23	is	be	AUX
fcis-23856	27	24	evaluated	evaluate	VERB
fcis-23856	27	25	.	.	PUNCT
fcis-23856	28	1	the	the	DET
fcis-23856	28	2	second	second	NOUN
fcis-23856	28	3	is	be	AUX
fcis-23856	28	4	to	to	PART
fcis-23856	28	5	develop	develop	VERB
fcis-23856	28	6	support	support	NOUN
fcis-23856	28	7	vector	vector	NOUN
fcis-23856	28	8	machine	machine	NOUN
fcis-23856	28	9	models	model	NOUN
fcis-23856	28	10	for	for	ADP
fcis-23856	28	11	classifying	classify	VERB
fcis-23856	28	12	and	and	CCONJ
fcis-23856	28	13	predicting	predict	VERB
fcis-23856	28	14	water	water	NOUN
fcis-23856	28	15	quality	quality	NOUN
fcis-23856	28	16	samples	sample	NOUN
fcis-23856	28	17	.	.	PUNCT
fcis-23856	29	1	this	this	DET
fcis-23856	29	2	article	article	NOUN
fcis-23856	29	3	includes	include	VERB
fcis-23856	29	4	the	the	DET
fcis-23856	29	5	following	follow	VERB
fcis-23856	29	6	sections	section	NOUN
fcis-23856	29	7	:	:	PUNCT
fcis-23856	29	8	(	(	PUNCT
fcis-23856	29	9	1	1	X
fcis-23856	29	10	)	)	PUNCT
fcis-23856	29	11	image	image	NOUN
fcis-23856	29	12	collection	collection	NOUN
fcis-23856	29	13	and	and	CCONJ
fcis-23856	29	14	data	datum	NOUN
fcis-23856	29	15	set	set	VERB
fcis-23856	29	16	formation	formation	NOUN
fcis-23856	29	17	:	:	PUNCT
fcis-23856	29	18	firstly	firstly	ADV
fcis-23856	29	19	,	,	PUNCT
fcis-23856	29	20	the	the	DET
fcis-23856	29	21	image	image	NOUN
fcis-23856	29	22	of	of	ADP
fcis-23856	29	23	water	water	NOUN
fcis-23856	29	24	quality	quality	NOUN
fcis-23856	29	25	sample	sample	NOUN
fcis-23856	29	26	is	be	AUX
fcis-23856	29	27	collected	collect	VERB
fcis-23856	29	28	and	and	CCONJ
fcis-23856	29	29	a	a	DET
fcis-23856	29	30	part	part	NOUN
fcis-23856	29	31	of	of	ADP
fcis-23856	29	32	it	it	PRON
fcis-23856	29	33	is	be	AUX
fcis-23856	29	34	selected	select	VERB
fcis-23856	29	35	as	as	ADP
fcis-23856	29	36	modeling	model	VERB
fcis-23856	29	37	data	datum	NOUN
fcis-23856	29	38	set	set	VERB
fcis-23856	29	39	.	.	PUNCT
fcis-23856	30	1	(	(	PUNCT
fcis-23856	30	2	2	2	X
fcis-23856	30	3	)	)	PUNCT
fcis-23856	30	4	data	datum	NOUN
fcis-23856	30	5	pre	pre	NOUN
fcis-23856	30	6	-	-	NOUN
fcis-23856	30	7	processing	processing	ADJ
fcis-23856	30	8	:	:	PUNCT
fcis-23856	30	9	after	after	SCONJ
fcis-23856	30	10	the	the	DET
fcis-23856	30	11	model	model	NOUN
fcis-23856	30	12	data	datum	NOUN
fcis-23856	30	13	set	set	VERB
fcis-23856	30	14	and	and	CCONJ
fcis-23856	30	15	the	the	DET
fcis-23856	30	16	incremental	incremental	ADJ
fcis-23856	30	17	data	datum	NOUN
fcis-23856	30	18	set	set	VERB
fcis-23856	30	19	are	be	AUX
fcis-23856	30	20	obtained	obtain	VERB
fcis-23856	30	21	,	,	PUNCT
fcis-23856	30	22	the	the	DET
fcis-23856	30	23	image	image	NOUN
fcis-23856	30	24	is	be	AUX
fcis-23856	30	25	preprocessed	preprocesse	VERB
fcis-23856	30	26	.	.	PUNCT
fcis-23856	31	1	this	this	DET
fcis-23856	31	2	step	step	NOUN
fcis-23856	31	3	mainly	mainly	ADV
fcis-23856	31	4	includes	include	VERB
fcis-23856	31	5	image	image	NOUN
fcis-23856	31	6	cutting	cutting	NOUN
fcis-23856	31	7	and	and	CCONJ
fcis-23856	31	8	color	color	NOUN
fcis-23856	31	9	moment	moment	NOUN
fcis-23856	31	10	feature	feature	NOUN
fcis-23856	31	11	extraction	extraction	NOUN
fcis-23856	31	12	,	,	PUNCT
fcis-23856	31	13	aiming	aim	VERB
fcis-23856	31	14	at	at	ADP
fcis-23856	31	15	extracting	extract	VERB
fcis-23856	31	16	the	the	DET
fcis-23856	31	17	key	key	ADJ
fcis-23856	31	18	information	information	NOUN
fcis-23856	31	19	related	relate	VERB
fcis-23856	31	20	to	to	ADP
fcis-23856	31	21	water	water	NOUN
fcis-23856	31	22	quality	quality	NOUN
fcis-23856	31	23	evaluation	evaluation	NOUN
fcis-23856	31	24	from	from	ADP
fcis-23856	31	25	the	the	DET
fcis-23856	31	26	image	image	NOUN
fcis-23856	31	27	.	.	PUNCT
fcis-23856	32	1	(	(	PUNCT
fcis-23856	32	2	3	3	X
fcis-23856	32	3	)	)	PUNCT
fcis-23856	32	4	classification	classification	NOUN
fcis-23856	32	5	model	model	NOUN
fcis-23856	32	6	construction	construction	NOUN
fcis-23856	32	7	:	:	PUNCT
fcis-23856	32	8	using	use	VERB
fcis-23856	32	9	the	the	DET
fcis-23856	32	10	abovementioned	abovementioned	ADJ
fcis-23856	32	11	information	information	NOUN
fcis-23856	32	12	,	,	PUNCT
fcis-23856	32	13	a	a	DET
fcis-23856	32	14	water	water	NOUN
fcis-23856	32	15	quality	quality	NOUN
fcis-23856	32	16	classification	classification	NOUN
fcis-23856	32	17	model	model	NOUN
fcis-23856	32	18	of	of	ADP
fcis-23856	32	19	the	the	DET
fcis-23856	32	20	support	support	NOUN
fcis-23856	32	21	vector	vector	NOUN
fcis-23856	32	22	machine	machine	NOUN
fcis-23856	32	23	is	be	AUX
fcis-23856	32	24	constructed	construct	VERB
fcis-23856	32	25	,	,	PUNCT
fcis-23856	32	26	which	which	PRON
fcis-23856	32	27	will	will	AUX
fcis-23856	32	28	be	be	AUX
fcis-23856	32	29	used	use	VERB
fcis-23856	32	30	as	as	ADP
fcis-23856	32	31	a	a	DET
fcis-23856	32	32	basis	basis	NOUN
fcis-23856	32	33	for	for	ADP
fcis-23856	32	34	water	water	NOUN
fcis-23856	32	35	quality	quality	NOUN
fcis-23856	32	36	assessment	assessment	NOUN
fcis-23856	32	37	and	and	CCONJ
fcis-23856	32	38	will	will	AUX
fcis-23856	32	39	be	be	AUX
fcis-23856	32	40	used	use	VERB
fcis-23856	32	41	for	for	ADP
fcis-23856	32	42	classification	classification	NOUN
fcis-23856	32	43	and	and	CCONJ
fcis-23856	32	44	evaluation	evaluation	NOUN
fcis-23856	32	45	of	of	ADP
fcis-23856	32	46	real	real	ADJ
fcis-23856	32	47	-	-	PUNCT
fcis-23856	32	48	time	time	NOUN
fcis-23856	32	49	extracted	extract	VERB
fcis-23856	32	50	water	water	NOUN
fcis-23856	32	51	quality	quality	NOUN
fcis-23856	32	52	images	image	NOUN
fcis-23856	32	53	.	.	PUNCT
fcis-23856	33	1	2	2	X
fcis-23856	33	2	.	.	X
fcis-23856	33	3	image	image	NOUN
fcis-23856	33	4	preprocessing	preprocessing	NOUN
fcis-23856	33	5	when	when	SCONJ
fcis-23856	33	6	using	use	VERB
fcis-23856	33	7	color	color	NOUN
fcis-23856	33	8	features	feature	NOUN
fcis-23856	33	9	to	to	PART
fcis-23856	33	10	recognize	recognize	VERB
fcis-23856	33	11	water	water	NOUN
fcis-23856	33	12	quality	quality	NOUN
fcis-23856	33	13	image	image	NOUN
fcis-23856	33	14	,	,	PUNCT
fcis-23856	33	15	the	the	DET
fcis-23856	33	16	color	color	NOUN
fcis-23856	33	17	information	information	NOUN
fcis-23856	33	18	carried	carry	VERB
fcis-23856	33	19	by	by	ADP
fcis-23856	33	20	color	color	NOUN
fcis-23856	33	21	image	image	NOUN
fcis-23856	33	22	is	be	AUX
fcis-23856	33	23	especially	especially	ADV
fcis-23856	33	24	rich	rich	ADJ
fcis-23856	33	25	,	,	PUNCT
fcis-23856	33	26	which	which	PRON
fcis-23856	33	27	can	can	AUX
fcis-23856	33	28	describe	describe	VERB
fcis-23856	33	29	the	the	DET
fcis-23856	33	30	surface	surface	NOUN
fcis-23856	33	31	color	color	NOUN
fcis-23856	33	32	features	feature	NOUN
fcis-23856	33	33	of	of	ADP
fcis-23856	33	34	water	water	NOUN
fcis-23856	33	35	samples	sample	NOUN
fcis-23856	33	36	more	more	ADV
fcis-23856	33	37	accurately	accurately	ADV
fcis-23856	33	38	.	.	PUNCT
fcis-23856	34	1	therefore	therefore	ADV
fcis-23856	34	2	,	,	PUNCT
fcis-23856	34	3	in	in	ADP
fcis-23856	34	4	order	order	NOUN
fcis-23856	34	5	to	to	PART
fcis-23856	34	6	extract	extract	VERB
fcis-23856	34	7	the	the	DET
fcis-23856	34	8	water	water	NOUN
fcis-23856	34	9	color	color	NOUN
fcis-23856	34	10	features	feature	VERB
fcis-23856	34	11	accurately	accurately	ADV
fcis-23856	34	12	,	,	PUNCT
fcis-23856	34	13	the	the	DET
fcis-23856	34	14	first	first	ADJ
fcis-23856	34	15	task	task	NOUN
fcis-23856	34	16	is	be	AUX
fcis-23856	34	17	to	to	PART
fcis-23856	34	18	segment	segment	VERB
fcis-23856	34	19	the	the	DET
fcis-23856	34	20	water	water	NOUN
fcis-23856	34	21	color	color	NOUN
fcis-23856	34	22	image	image	NOUN
fcis-23856	34	23	from	from	ADP
fcis-23856	34	24	the	the	DET
fcis-23856	34	25	complex	complex	ADJ
fcis-23856	34	26	background	background	NOUN
fcis-23856	34	27	.	.	PUNCT
fcis-23856	35	1	however	however	ADV
fcis-23856	35	2	,	,	PUNCT
fcis-23856	35	3	34	34	NUM
fcis-23856	35	4	when	when	SCONJ
fcis-23856	35	5	water	water	NOUN
fcis-23856	35	6	samples	sample	NOUN
fcis-23856	35	7	are	be	AUX
fcis-23856	35	8	actually	actually	ADV
fcis-23856	35	9	taken	take	VERB
fcis-23856	35	10	,	,	PUNCT
fcis-23856	35	11	they	they	PRON
fcis-23856	35	12	are	be	AUX
fcis-23856	35	13	usually	usually	ADV
fcis-23856	35	14	taken	take	VERB
fcis-23856	35	15	together	together	ADV
fcis-23856	35	16	with	with	ADP
fcis-23856	35	17	the	the	DET
fcis-23856	35	18	glass	glass	NOUN
fcis-23856	35	19	container	container	NOUN
fcis-23856	35	20	containing	contain	VERB
fcis-23856	35	21	the	the	DET
fcis-23856	35	22	water	water	NOUN
fcis-23856	35	23	.	.	PUNCT
fcis-23856	36	1	as	as	SCONJ
fcis-23856	36	2	the	the	DET
fcis-23856	36	3	color	color	NOUN
fcis-23856	36	4	of	of	ADP
fcis-23856	36	5	the	the	DET
fcis-23856	36	6	glass	glass	NOUN
fcis-23856	36	7	container	container	NOUN
fcis-23856	36	8	is	be	AUX
fcis-23856	36	9	significantly	significantly	ADV
fcis-23856	36	10	different	different	ADJ
fcis-23856	36	11	from	from	ADP
fcis-23856	36	12	that	that	PRON
fcis-23856	36	13	of	of	ADP
fcis-23856	36	14	the	the	DET
fcis-23856	36	15	water	water	NOUN
fcis-23856	36	16	body	body	NOUN
fcis-23856	36	17	,	,	PUNCT
fcis-23856	36	18	and	and	CCONJ
fcis-23856	36	19	the	the	DET
fcis-23856	36	20	water	water	NOUN
fcis-23856	36	21	body	body	NOUN
fcis-23856	36	22	is	be	AUX
fcis-23856	36	23	often	often	ADV
fcis-23856	36	24	located	locate	VERB
fcis-23856	36	25	in	in	ADP
fcis-23856	36	26	the	the	DET
fcis-23856	36	27	center	center	NOUN
fcis-23856	36	28	of	of	ADP
fcis-23856	36	29	the	the	DET
fcis-23856	36	30	image	image	NOUN
fcis-23856	36	31	,	,	PUNCT
fcis-23856	36	32	a	a	DET
fcis-23856	36	33	method	method	NOUN
fcis-23856	36	34	is	be	AUX
fcis-23856	36	35	needed	need	VERB
fcis-23856	36	36	to	to	PART
fcis-23856	36	37	eliminate	eliminate	VERB
fcis-23856	36	38	the	the	DET
fcis-23856	36	39	interference	interference	NOUN
fcis-23856	36	40	of	of	ADP
fcis-23856	36	41	the	the	DET
fcis-23856	36	42	glass	glass	NOUN
fcis-23856	36	43	container	container	NOUN
fcis-23856	36	44	and	and	CCONJ
fcis-23856	36	45	background	background	NOUN
fcis-23856	36	46	noise	noise	NOUN
fcis-23856	36	47	in	in	ADP
fcis-23856	36	48	order	order	NOUN
fcis-23856	36	49	to	to	PART
fcis-23856	36	50	extract	extract	VERB
fcis-23856	36	51	the	the	DET
fcis-23856	36	52	representative	representative	ADJ
fcis-23856	36	53	image	image	NOUN
fcis-23856	36	54	of	of	ADP
fcis-23856	36	55	the	the	DET
fcis-23856	36	56	central	central	ADJ
fcis-23856	36	57	region	region	NOUN
fcis-23856	36	58	of	of	ADP
fcis-23856	36	59	the	the	DET
fcis-23856	36	60	water	water	NOUN
fcis-23856	36	61	sample	sample	NOUN
fcis-23856	36	62	.	.	PUNCT
fcis-23856	37	1	in	in	ADP
fcis-23856	37	2	order	order	NOUN
fcis-23856	37	3	to	to	PART
fcis-23856	37	4	achieve	achieve	VERB
fcis-23856	37	5	this	this	DET
fcis-23856	37	6	goal	goal	NOUN
fcis-23856	37	7	,	,	PUNCT
fcis-23856	37	8	this	this	DET
fcis-23856	37	9	paper	paper	NOUN
fcis-23856	37	10	uses	use	VERB
fcis-23856	37	11	an	an	DET
fcis-23856	37	12	image	image	NOUN
fcis-23856	37	13	cutting	cut	VERB
fcis-23856	37	14	technology	technology	NOUN
fcis-23856	37	15	.	.	PUNCT
fcis-23856	38	1	first	first	ADV
fcis-23856	38	2	,	,	PUNCT
fcis-23856	38	3	the	the	DET
fcis-23856	38	4	size	size	NOUN
fcis-23856	38	5	of	of	ADP
fcis-23856	38	6	the	the	DET
fcis-23856	38	7	original	original	ADJ
fcis-23856	38	8	image	image	NOUN
fcis-23856	38	9	is	be	AUX
fcis-23856	38	10	determined	determine	VERB
fcis-23856	38	11	to	to	PART
fcis-23856	38	12	be	be	AUX
fcis-23856	38	13	m	m	PROPN
fcis-23856	38	14	×	×	NOUN
fcis-23856	38	15	n	n	CCONJ
fcis-23856	38	16	,	,	PUNCT
fcis-23856	38	17	and	and	CCONJ
fcis-23856	38	18	then	then	ADV
fcis-23856	38	19	a	a	DET
fcis-23856	38	20	101	101	NUM
fcis-23856	38	21	×	×	NOUN
fcis-23856	38	22	101pixel	101pixel	PROPN
fcis-23856	38	23	sub	sub	NOUN
fcis-23856	38	24	-	-	NOUN
fcis-23856	38	25	image	image	NOUN
fcis-23856	38	26	is	be	AUX
fcis-23856	38	27	truncated	truncate	VERB
fcis-23856	38	28	from	from	ADP
fcis-23856	38	29	the	the	DET
fcis-23856	38	30	center	center	NOUN
fcis-23856	38	31	of	of	ADP
fcis-23856	38	32	the	the	DET
fcis-23856	38	33	image	image	NOUN
fcis-23856	38	34	.	.	PUNCT
fcis-23856	39	1	this	this	DET
fcis-23856	39	2	sub	sub	NOUN
fcis-23856	39	3	-	-	NOUN
fcis-23856	39	4	image	image	NOUN
fcis-23856	39	5	is	be	AUX
fcis-23856	39	6	captured	capture	VERB
fcis-23856	39	7	from	from	ADP
fcis-23856	39	8	fix	fix	NOUN
fcis-23856	39	9	(	(	PUNCT
fcis-23856	39	10	m/2	m/2	NUM
fcis-23856	39	11	)	)	PUNCT
fcis-23856	39	12	-50	-50	PUNCT
fcis-23856	39	13	pixels	pixel	VERB
fcis-23856	39	14	to	to	ADP
fcis-23856	39	15	fix	fix	VERB
fcis-23856	39	16	(	(	PUNCT
fcis-23856	39	17	m/2	m/2	NUM
fcis-23856	39	18	)	)	PUNCT
fcis-23856	39	19	+	+	CCONJ
fcis-23856	39	20	50	50	NUM
fcis-23856	39	21	pixels	pixel	NOUN
fcis-23856	39	22	,	,	PUNCT
fcis-23856	39	23	both	both	CCONJ
fcis-23856	39	24	in	in	ADP
fcis-23856	39	25	length	length	NOUN
fcis-23856	39	26	and	and	CCONJ
fcis-23856	39	27	width	width	NOUN
fcis-23856	39	28	.	.	PUNCT
fcis-23856	40	1	the	the	DET
fcis-23856	40	2	fix	fix	NOUN
fcis-23856	40	3	(	(	PUNCT
fcis-23856	40	4	x	x	NOUN
fcis-23856	40	5	)	)	PUNCT
fcis-23856	40	6	function	function	NOUN
fcis-23856	40	7	here	here	ADV
fcis-23856	40	8	means	mean	VERB
fcis-23856	40	9	to	to	PART
fcis-23856	40	10	round	round	VERB
fcis-23856	40	11	off	off	ADP
fcis-23856	40	12	to	to	ADP
fcis-23856	40	13	zero	zero	NUM
fcis-23856	40	14	,	,	PUNCT
fcis-23856	40	15	making	make	VERB
fcis-23856	40	16	sure	sure	ADJ
fcis-23856	40	17	you	you	PRON
fcis-23856	40	18	are	be	AUX
fcis-23856	40	19	capturing	capture	VERB
fcis-23856	40	20	the	the	DET
fcis-23856	40	21	center	center	NOUN
fcis-23856	40	22	of	of	ADP
fcis-23856	40	23	the	the	DET
fcis-23856	40	24	image	image	NOUN
fcis-23856	40	25	.	.	PUNCT
fcis-23856	41	1	by	by	ADP
fcis-23856	41	2	using	use	VERB
fcis-23856	41	3	this	this	DET
fcis-23856	41	4	method	method	NOUN
fcis-23856	41	5	,	,	PUNCT
fcis-23856	41	6	the	the	DET
fcis-23856	41	7	interference	interference	NOUN
fcis-23856	41	8	of	of	ADP
fcis-23856	41	9	glass	glass	NOUN
fcis-23856	41	10	container	container	NOUN
fcis-23856	41	11	and	and	CCONJ
fcis-23856	41	12	background	background	NOUN
fcis-23856	41	13	noise	noise	NOUN
fcis-23856	41	14	can	can	AUX
fcis-23856	41	15	be	be	AUX
fcis-23856	41	16	removed	remove	VERB
fcis-23856	41	17	effectively	effectively	ADV
fcis-23856	41	18	,	,	PUNCT
fcis-23856	41	19	and	and	CCONJ
fcis-23856	41	20	the	the	DET
fcis-23856	41	21	central	central	ADJ
fcis-23856	41	22	region	region	NOUN
fcis-23856	41	23	of	of	ADP
fcis-23856	41	24	water	water	NOUN
fcis-23856	41	25	sample	sample	NOUN
fcis-23856	41	26	image	image	NOUN
fcis-23856	41	27	can	can	AUX
fcis-23856	41	28	be	be	AUX
fcis-23856	41	29	more	more	ADV
fcis-23856	41	30	clear	clear	ADJ
fcis-23856	41	31	and	and	CCONJ
fcis-23856	41	32	accurate	accurate	ADJ
fcis-23856	41	33	.	.	PUNCT
fcis-23856	42	1	the	the	DET
fcis-23856	42	2	water	water	NOUN
fcis-23856	42	3	sample	sample	NOUN
fcis-23856	42	4	image	image	NOUN
fcis-23856	42	5	after	after	ADP
fcis-23856	42	6	cutting	cut	VERB
fcis-23856	42	7	not	not	PART
fcis-23856	42	8	only	only	ADV
fcis-23856	42	9	retains	retain	VERB
fcis-23856	42	10	the	the	DET
fcis-23856	42	11	key	key	ADJ
fcis-23856	42	12	information	information	NOUN
fcis-23856	42	13	of	of	ADP
fcis-23856	42	14	the	the	DET
fcis-23856	42	15	original	original	ADJ
fcis-23856	42	16	image	image	NOUN
fcis-23856	42	17	,	,	PUNCT
fcis-23856	42	18	but	but	CCONJ
fcis-23856	42	19	also	also	ADV
fcis-23856	42	20	is	be	AUX
fcis-23856	42	21	easier	easy	ADJ
fcis-23856	42	22	to	to	PART
fcis-23856	42	23	extract	extract	VERB
fcis-23856	42	24	and	and	CCONJ
fcis-23856	42	25	analyze	analyze	VERB
fcis-23856	42	26	the	the	DET
fcis-23856	42	27	following	follow	VERB
fcis-23856	42	28	features	feature	NOUN
fcis-23856	42	29	.	.	PUNCT
fcis-23856	43	1	in	in	ADP
fcis-23856	43	2	short	short	ADJ
fcis-23856	43	3	,	,	PUNCT
fcis-23856	43	4	this	this	DET
fcis-23856	43	5	step	step	NOUN
fcis-23856	43	6	is	be	AUX
fcis-23856	43	7	to	to	PART
fcis-23856	43	8	precisely	precisely	ADV
fcis-23856	43	9	cut	cut	VERB
fcis-23856	43	10	the	the	DET
fcis-23856	43	11	original	original	ADJ
fcis-23856	43	12	water	water	NOUN
fcis-23856	43	13	sample	sample	NOUN
fcis-23856	43	14	image	image	NOUN
fcis-23856	43	15	(	(	PUNCT
fcis-23856	43	16	figure	figure	NOUN
fcis-23856	43	17	1	1	NUM
fcis-23856	43	18	)	)	PUNCT
fcis-23856	43	19	and	and	CCONJ
fcis-23856	43	20	save	save	VERB
fcis-23856	43	21	it	it	PRON
fcis-23856	43	22	as	as	ADP
fcis-23856	43	23	the	the	DET
fcis-23856	43	24	cut	cut	VERB
fcis-23856	43	25	water	water	NOUN
fcis-23856	43	26	sample	sample	NOUN
fcis-23856	43	27	image	image	NOUN
fcis-23856	43	28	(	(	PUNCT
fcis-23856	43	29	figure	figure	NOUN
fcis-23856	43	30	2	2	NUM
fcis-23856	43	31	)	)	PUNCT
fcis-23856	43	32	,	,	PUNCT
fcis-23856	43	33	which	which	PRON
fcis-23856	43	34	lays	lay	VERB
fcis-23856	43	35	a	a	DET
fcis-23856	43	36	solid	solid	ADJ
fcis-23856	43	37	foundation	foundation	NOUN
fcis-23856	43	38	for	for	ADP
fcis-23856	43	39	the	the	DET
fcis-23856	43	40	subsequent	subsequent	ADJ
fcis-23856	43	41	water	water	NOUN
fcis-23856	43	42	quality	quality	NOUN
fcis-23856	43	43	evaluation	evaluation	NOUN
fcis-23856	43	44	work	work	NOUN
fcis-23856	43	45	.	.	PUNCT
fcis-23856	44	1	figure	figure	NOUN
fcis-23856	44	2	1	1	NUM
fcis-23856	44	3	.	.	PUNCT
fcis-23856	44	4	original	original	ADJ
fcis-23856	44	5	image	image	NOUN
fcis-23856	44	6	of	of	ADP
fcis-23856	44	7	water	water	NOUN
fcis-23856	44	8	quality	quality	NOUN
fcis-23856	44	9	figure	figure	NOUN
fcis-23856	44	10	2	2	NUM
fcis-23856	44	11	.	.	PUNCT
fcis-23856	45	1	truncated	truncate	VERB
fcis-23856	45	2	sub	sub	NOUN
fcis-23856	45	3	-	-	NOUN
fcis-23856	45	4	image	image	NOUN
fcis-23856	45	5	in	in	ADP
fcis-23856	45	6	the	the	DET
fcis-23856	45	7	research	research	NOUN
fcis-23856	45	8	of	of	ADP
fcis-23856	45	9	image	image	NOUN
fcis-23856	45	10	processing	processing	NOUN
fcis-23856	45	11	,	,	PUNCT
fcis-23856	45	12	recognition	recognition	NOUN
fcis-23856	45	13	and	and	CCONJ
fcis-23856	45	14	classification	classification	NOUN
fcis-23856	45	15	,	,	PUNCT
fcis-23856	45	16	color	color	NOUN
fcis-23856	45	17	,	,	PUNCT
fcis-23856	45	18	as	as	ADP
fcis-23856	45	19	the	the	DET
fcis-23856	45	20	most	most	ADV
fcis-23856	45	21	intuitive	intuitive	ADJ
fcis-23856	45	22	visual	visual	ADJ
fcis-23856	45	23	feature	feature	NOUN
fcis-23856	45	24	,	,	PUNCT
fcis-23856	45	25	is	be	AUX
fcis-23856	45	26	very	very	ADV
fcis-23856	45	27	important	important	ADJ
fcis-23856	45	28	for	for	ADP
fcis-23856	45	29	the	the	DET
fcis-23856	45	30	description	description	NOUN
fcis-23856	45	31	of	of	ADP
fcis-23856	45	32	image	image	NOUN
fcis-23856	45	33	content	content	NOUN
fcis-23856	45	34	.	.	PUNCT
fcis-23856	46	1	effective	effective	ADJ
fcis-23856	46	2	expression	expression	NOUN
fcis-23856	46	3	and	and	CCONJ
fcis-23856	46	4	extraction	extraction	NOUN
fcis-23856	46	5	of	of	ADP
fcis-23856	46	6	color	color	NOUN
fcis-23856	46	7	features	feature	NOUN
fcis-23856	46	8	become	become	VERB
fcis-23856	46	9	the	the	DET
fcis-23856	46	10	core	core	NOUN
fcis-23856	46	11	challenge	challenge	NOUN
fcis-23856	46	12	of	of	ADP
fcis-23856	46	13	these	these	DET
fcis-23856	46	14	studies	study	NOUN
fcis-23856	46	15	.	.	PUNCT
fcis-23856	47	1	in	in	ADP
fcis-23856	47	2	order	order	NOUN
fcis-23856	47	3	to	to	PART
fcis-23856	47	4	characterize	characterize	VERB
fcis-23856	47	5	color	color	NOUN
fcis-23856	47	6	features	feature	NOUN
fcis-23856	47	7	,	,	PUNCT
fcis-23856	47	8	many	many	ADJ
fcis-23856	47	9	methods	method	NOUN
fcis-23856	47	10	are	be	AUX
fcis-23856	47	11	proposed	propose	VERB
fcis-23856	47	12	,	,	PUNCT
fcis-23856	47	13	such	such	ADJ
fcis-23856	47	14	as	as	ADP
fcis-23856	47	15	color	color	NOUN
fcis-23856	47	16	histogram	histogram	NOUN
fcis-23856	47	17	,	,	PUNCT
fcis-23856	47	18	color	color	NOUN
fcis-23856	47	19	aggregation	aggregation	NOUN
fcis-23856	47	20	vector	vector	NOUN
fcis-23856	47	21	,	,	PUNCT
fcis-23856	47	22	color	color	NOUN
fcis-23856	47	23	moment	moment	NOUN
fcis-23856	47	24	and	and	CCONJ
fcis-23856	47	25	color	color	NOUN
fcis-23856	47	26	set	set	NOUN
fcis-23856	47	27	.	.	PUNCT
fcis-23856	48	1	because	because	SCONJ
fcis-23856	48	2	of	of	ADP
fcis-23856	48	3	its	its	PRON
fcis-23856	48	4	wide	wide	ADJ
fcis-23856	48	5	application	application	NOUN
fcis-23856	48	6	,	,	PUNCT
fcis-23856	48	7	the	the	DET
fcis-23856	48	8	color	color	NOUN
fcis-23856	48	9	moment	moment	NOUN
fcis-23856	48	10	is	be	AUX
fcis-23856	48	11	chosen	choose	VERB
fcis-23856	48	12	as	as	ADP
fcis-23856	48	13	the	the	DET
fcis-23856	48	14	main	main	ADJ
fcis-23856	48	15	method	method	NOUN
fcis-23856	48	16	to	to	PART
fcis-23856	48	17	study	study	VERB
fcis-23856	48	18	the	the	DET
fcis-23856	48	19	color	color	NOUN
fcis-23856	48	20	characteristics	characteristic	NOUN
fcis-23856	48	21	of	of	ADP
fcis-23856	48	22	water	water	NOUN
fcis-23856	48	23	samples	sample	NOUN
fcis-23856	48	24	in	in	ADP
fcis-23856	48	25	this	this	DET
fcis-23856	48	26	paper	paper	NOUN
fcis-23856	48	27	.	.	PUNCT
fcis-23856	49	1	based	base	VERB
fcis-23856	49	2	on	on	ADP
fcis-23856	49	3	the	the	DET
fcis-23856	49	4	principle	principle	NOUN
fcis-23856	49	5	of	of	ADP
fcis-23856	49	6	probability	probability	NOUN
fcis-23856	49	7	theory	theory	NOUN
fcis-23856	49	8	,	,	PUNCT
fcis-23856	49	9	every	every	DET
fcis-23856	49	10	moment	moment	NOUN
fcis-23856	49	11	of	of	ADP
fcis-23856	49	12	any	any	DET
fcis-23856	49	13	variable	variable	NOUN
fcis-23856	49	14	can	can	AUX
fcis-23856	49	15	describe	describe	VERB
fcis-23856	49	16	its	its	PRON
fcis-23856	49	17	probability	probability	NOUN
fcis-23856	49	18	distribution	distribution	NOUN
fcis-23856	49	19	.	.	PUNCT
fcis-23856	50	1	similarly	similarly	ADV
fcis-23856	50	2	,	,	PUNCT
fcis-23856	50	3	the	the	DET
fcis-23856	50	4	color	color	NOUN
fcis-23856	50	5	layout	layout	NOUN
fcis-23856	50	6	in	in	ADP
fcis-23856	50	7	an	an	DET
fcis-23856	50	8	image	image	NOUN
fcis-23856	50	9	can	can	AUX
fcis-23856	50	10	also	also	ADV
fcis-23856	50	11	be	be	AUX
fcis-23856	50	12	expressed	express	VERB
fcis-23856	50	13	by	by	ADP
fcis-23856	50	14	its	its	PRON
fcis-23856	50	15	moments	moment	NOUN
fcis-23856	50	16	of	of	ADP
fcis-23856	50	17	order	order	NOUN
fcis-23856	50	18	,	,	PUNCT
fcis-23856	50	19	which	which	PRON
fcis-23856	50	20	can	can	AUX
fcis-23856	50	21	be	be	AUX
fcis-23856	50	22	regarded	regard	VERB
fcis-23856	50	23	as	as	ADP
fcis-23856	50	24	the	the	DET
fcis-23856	50	25	probability	probability	NOUN
fcis-23856	50	26	distribution	distribution	NOUN
fcis-23856	50	27	of	of	ADP
fcis-23856	50	28	color	color	NOUN
fcis-23856	50	29	in	in	ADP
fcis-23856	50	30	the	the	DET
fcis-23856	50	31	image	image	NOUN
fcis-23856	50	32	.	.	PUNCT
fcis-23856	51	1	the	the	DET
fcis-23856	51	2	color	color	NOUN
fcis-23856	51	3	moments	moment	NOUN
fcis-23856	51	4	include	include	VERB
fcis-23856	51	5	the	the	DET
fcis-23856	51	6	first	first	ADJ
fcis-23856	51	7	-	-	PUNCT
fcis-23856	51	8	order	order	NOUN
fcis-23856	51	9	moments	moment	NOUN
fcis-23856	51	10	(	(	PUNCT
fcis-23856	51	11	mean	mean	ADJ
fcis-23856	51	12	)	)	PUNCT
fcis-23856	51	13	,	,	PUNCT
fcis-23856	51	14	second	second	ADJ
fcis-23856	51	15	-	-	PUNCT
fcis-23856	51	16	order	order	NOUN
fcis-23856	51	17	moments	moment	NOUN
fcis-23856	51	18	(	(	PUNCT
fcis-23856	51	19	variance	variance	NOUN
fcis-23856	51	20	)	)	PUNCT
fcis-23856	51	21	and	and	CCONJ
fcis-23856	51	22	third	third	ADJ
fcis-23856	51	23	-	-	PUNCT
fcis-23856	51	24	order	order	NOUN
fcis-23856	51	25	moments	moment	NOUN
fcis-23856	51	26	(	(	PUNCT
fcis-23856	51	27	skew	skew	NOUN
fcis-23856	51	28	)	)	PUNCT
fcis-23856	51	29	of	of	ADP
fcis-23856	51	30	the	the	DET
fcis-23856	51	31	three	three	NUM
fcis-23856	51	32	color	color	NOUN
fcis-23856	51	33	channels	channel	NOUN
fcis-23856	51	34	r	r	NOUN
fcis-23856	51	35	,	,	PUNCT
fcis-23856	51	36	g	g	PROPN
fcis-23856	51	37	and	and	CCONJ
fcis-23856	51	38	b.	b.	PROPN
fcis-23856	51	39	in	in	ADP
fcis-23856	51	40	this	this	DET
fcis-23856	51	41	paper	paper	NOUN
fcis-23856	51	42	,	,	PUNCT
fcis-23856	51	43	the	the	DET
fcis-23856	51	44	feature	feature	NOUN
fcis-23856	51	45	of	of	ADP
fcis-23856	51	46	water	water	NOUN
fcis-23856	51	47	sample	sample	NOUN
fcis-23856	51	48	image	image	NOUN
fcis-23856	51	49	is	be	AUX
fcis-23856	51	50	extracted	extract	VERB
fcis-23856	51	51	by	by	ADP
fcis-23856	51	52	extracting	extract	VERB
fcis-23856	51	53	color	color	NOUN
fcis-23856	51	54	matrix	matrix	NOUN
fcis-23856	51	55	:	:	PUNCT
fcis-23856	51	56	(	(	PUNCT
fcis-23856	51	57	1	1	X
fcis-23856	51	58	)	)	PUNCT
fcis-23856	51	59	first	first	ADJ
fcis-23856	51	60	-	-	PUNCT
fcis-23856	51	61	order	order	NOUN
fcis-23856	51	62	color	color	NOUN
fcis-23856	51	63	moment	moment	NOUN
fcis-23856	51	64	:	:	PUNCT
fcis-23856	51	65	the	the	DET
fcis-23856	51	66	average	average	ADJ
fcis-23856	51	67	value	value	NOUN
fcis-23856	51	68	of	of	ADP
fcis-23856	51	69	each	each	DET
fcis-23856	51	70	pixel	pixel	PROPN
fcis-23856	51	71	color	color	NOUN
fcis-23856	51	72	channel	channel	NOUN
fcis-23856	51	73	color	color	NOUN
fcis-23856	51	74	value	value	NOUN
fcis-23856	51	75	,	,	PUNCT
fcis-23856	51	76	reflects	reflect	VERB
fcis-23856	51	77	the	the	DET
fcis-23856	51	78	overall	overall	ADJ
fcis-23856	51	79	intensity	intensity	NOUN
fcis-23856	51	80	of	of	ADP
fcis-23856	51	81	the	the	DET
fcis-23856	51	82	image	image	NOUN
fcis-23856	51	83	.	.	PUNCT
fcis-23856	52	1	i	i	PRON
fcis-23856	52	2	1	1	NUM
fcis-23856	52	3	1	1	NUM
fcis-23856	52	4	e	e	NOUN
fcis-23856	52	5	n	n	NUM
fcis-23856	52	6	ij	ij	NOUN
fcis-23856	52	7	j	j	PROPN
fcis-23856	52	8	p	p	PROPN
fcis-23856	52	9	n	n	PROPN
fcis-23856	52	10			NUM
fcis-23856	52	11			NOUN
fcis-23856	52	12			X
fcis-23856	52	13	(	(	PUNCT
fcis-23856	52	14	1	1	X
fcis-23856	52	15	)	)	PUNCT
fcis-23856	52	16	it	it	PRON
fcis-23856	52	17	represents	represent	VERB
fcis-23856	52	18	the	the	DET
fcis-23856	52	19	first	first	ADJ
fcis-23856	52	20	-	-	PUNCT
fcis-23856	52	21	order	order	NOUN
fcis-23856	52	22	color	color	NOUN
fcis-23856	52	23	moment	moment	NOUN
fcis-23856	52	24	of	of	ADP
fcis-23856	52	25	the	the	DET
fcis-23856	52	26	i	i	PROPN
fcis-23856	52	27	th	th	PROPN
fcis-23856	52	28	color	color	NOUN
fcis-23856	52	29	channel	channel	NOUN
fcis-23856	52	30	and	and	CCONJ
fcis-23856	52	31	ijp	ijp	ADV
fcis-23856	52	32	represents	represent	VERB
fcis-23856	52	33	the	the	DET
fcis-23856	52	34	color	color	NOUN
fcis-23856	52	35	value	value	NOUN
fcis-23856	52	36	of	of	ADP
fcis-23856	52	37	the	the	DET
fcis-23856	52	38	i	i	PROPN
fcis-23856	52	39	th	th	PROPN
fcis-23856	52	40	color	color	NOUN
fcis-23856	52	41	channel	channel	NOUN
fcis-23856	52	42	of	of	ADP
fcis-23856	52	43	the	the	DET
fcis-23856	52	44	j	j	PROPN
fcis-23856	52	45	th	th	X
fcis-23856	52	46	pixel	pixel	PROPN
fcis-23856	52	47	.	.	PUNCT
fcis-23856	53	1	(	(	PUNCT
fcis-23856	53	2	2	2	NUM
fcis-23856	53	3	)	)	PUNCT
fcis-23856	53	4	second	second	ADJ
fcis-23856	53	5	-	-	PUNCT
fcis-23856	53	6	order	order	NOUN
fcis-23856	53	7	color	color	NOUN
fcis-23856	53	8	moment	moment	NOUN
fcis-23856	53	9	:	:	PUNCT
fcis-23856	53	10	the	the	DET
fcis-23856	53	11	variance	variance	NOUN
fcis-23856	53	12	calculation	calculation	NOUN
fcis-23856	53	13	method	method	NOUN
fcis-23856	53	14	is	be	AUX
fcis-23856	53	15	used	use	VERB
fcis-23856	53	16	to	to	PART
fcis-23856	53	17	reflect	reflect	VERB
fcis-23856	53	18	the	the	DET
fcis-23856	53	19	range	range	NOUN
fcis-23856	53	20	of	of	ADP
fcis-23856	53	21	image	image	NOUN
fcis-23856	53	22	color	color	NOUN
fcis-23856	53	23	distribution	distribution	NOUN
fcis-23856	53	24	.	.	PUNCT
fcis-23856	54	1			NOUN
fcis-23856	54	2	2	2	ADJ
fcis-23856	54	3	1	1	NUM
fcis-23856	54	4	1	1	NUM
fcis-23856	55	1	n	n	NOUN
fcis-23856	56	1	i	i	PRON
fcis-23856	56	2	ij	ij	INTJ
fcis-23856	57	1	i	i	INTJ
fcis-23856	57	2	j	j	PROPN
fcis-23856	58	1	p	p	X
fcis-23856	58	2	e	e	PROPN
fcis-23856	58	3	n	n	CCONJ
fcis-23856	58	4			PROPN
fcis-23856	58	5			NUM
fcis-23856	58	6			NOUN
fcis-23856	59	1			X
fcis-23856	59	2	(	(	PUNCT
fcis-23856	59	3	2	2	NUM
fcis-23856	59	4	)	)	PUNCT
fcis-23856	59	5	in	in	ADP
fcis-23856	59	6	the	the	DET
fcis-23856	59	7	above	above	ADJ
fcis-23856	59	8	expression	expression	NOUN
fcis-23856	59	9	,	,	PUNCT
fcis-23856	59	10	i	i	NOUN
fcis-23856	59	11	represents	represent	VERB
fcis-23856	59	12	the	the	DET
fcis-23856	59	13	second	second	ADJ
fcis-23856	59	14	-	-	PUNCT
fcis-23856	59	15	order	order	NOUN
fcis-23856	59	16	color	color	NOUN
fcis-23856	59	17	moment	moment	NOUN
fcis-23856	59	18	of	of	ADP
fcis-23856	59	19	the	the	DET
fcis-23856	59	20	i	i	PROPN
fcis-23856	59	21	th	th	PROPN
fcis-23856	59	22	color	color	NOUN
fcis-23856	59	23	channel	channel	NOUN
fcis-23856	59	24	,	,	PUNCT
fcis-23856	59	25	and	and	CCONJ
fcis-23856	59	26	ie	ie	X
fcis-23856	59	27	represents	represent	VERB
fcis-23856	59	28	the	the	DET
fcis-23856	59	29	first	first	ADJ
fcis-23856	59	30	-	-	PUNCT
fcis-23856	59	31	order	order	NOUN
fcis-23856	59	32	color	color	NOUN
fcis-23856	59	33	moment	moment	NOUN
fcis-23856	59	34	of	of	ADP
fcis-23856	59	35	the	the	DET
fcis-23856	59	36	i	i	PROPN
fcis-23856	59	37	th	th	PROPN
fcis-23856	59	38	color	color	NOUN
fcis-23856	59	39	channel	channel	NOUN
fcis-23856	59	40	.	.	PUNCT
fcis-23856	60	1	(	(	PUNCT
fcis-23856	60	2	3	3	X
fcis-23856	60	3	)	)	PUNCT
fcis-23856	60	4	the	the	DET
fcis-23856	60	5	third	third	ADJ
fcis-23856	60	6	-	-	PUNCT
fcis-23856	60	7	order	order	NOUN
fcis-23856	60	8	color	color	NOUN
fcis-23856	60	9	moment	moment	NOUN
fcis-23856	60	10	is	be	AUX
fcis-23856	60	11	calculated	calculate	VERB
fcis-23856	60	12	by	by	ADP
fcis-23856	60	13	the	the	DET
fcis-23856	60	14	slope	slope	NOUN
fcis-23856	60	15	,	,	PUNCT
fcis-23856	60	16	which	which	PRON
fcis-23856	60	17	reflects	reflect	VERB
fcis-23856	60	18	the	the	DET
fcis-23856	60	19	symmetry	symmetry	NOUN
fcis-23856	60	20	of	of	ADP
fcis-23856	60	21	the	the	DET
fcis-23856	60	22	image	image	NOUN
fcis-23856	60	23	color	color	NOUN
fcis-23856	60	24	distribution	distribution	NOUN
fcis-23856	60	25	.	.	PUNCT
fcis-23856	61	1			NOUN
fcis-23856	61	2	2	2	ADJ
fcis-23856	61	3	3	3	NUM
fcis-23856	61	4	1	1	NUM
fcis-23856	61	5	1	1	NUM
fcis-23856	62	1	n	n	NOUN
fcis-23856	63	1	i	i	PRON
fcis-23856	63	2	ij	ij	INTJ
fcis-23856	64	1	i	i	INTJ
fcis-23856	64	2	j	j	PROPN
fcis-23856	64	3	s	s	X
fcis-23856	64	4	p	p	X
fcis-23856	64	5	e	e	PROPN
fcis-23856	64	6	n	n	CCONJ
fcis-23856	64	7			NUM
fcis-23856	64	8			NUM
fcis-23856	65	1			NOUN
fcis-23856	65	2	(	(	PUNCT
fcis-23856	65	3	3	3	NUM
fcis-23856	65	4	)	)	PUNCT
fcis-23856	65	5	in	in	ADP
fcis-23856	65	6	the	the	DET
fcis-23856	65	7	above	above	ADJ
fcis-23856	65	8	expression	expression	NOUN
fcis-23856	65	9	,	,	PUNCT
fcis-23856	65	10	is	be	AUX
fcis-23856	65	11	represents	represent	VERB
fcis-23856	65	12	the	the	DET
fcis-23856	65	13	second	second	ADJ
fcis-23856	65	14	-	-	PUNCT
fcis-23856	65	15	order	order	NOUN
fcis-23856	65	16	color	color	NOUN
fcis-23856	65	17	moment	moment	NOUN
fcis-23856	65	18	of	of	ADP
fcis-23856	65	19	the	the	DET
fcis-23856	65	20	i	i	PROPN
fcis-23856	65	21	th	th	PROPN
fcis-23856	65	22	color	color	NOUN
fcis-23856	65	23	channel	channel	NOUN
fcis-23856	65	24	,	,	PUNCT
fcis-23856	65	25	and	and	CCONJ
fcis-23856	65	26	ie	ie	X
fcis-23856	65	27	represents	represent	VERB
fcis-23856	65	28	the	the	DET
fcis-23856	65	29	first	first	ADJ
fcis-23856	65	30	-	-	PUNCT
fcis-23856	65	31	order	order	NOUN
fcis-23856	65	32	color	color	NOUN
fcis-23856	65	33	moment	moment	NOUN
fcis-23856	65	34	of	of	ADP
fcis-23856	65	35	the	the	DET
fcis-23856	65	36	i	i	PROPN
fcis-23856	65	37	th	th	PROPN
fcis-23856	65	38	color	color	NOUN
fcis-23856	65	39	channel	channel	NOUN
fcis-23856	65	40	.	.	PUNCT
fcis-23856	66	1	a	a	DET
fcis-23856	66	2	total	total	NOUN
fcis-23856	66	3	of	of	ADP
fcis-23856	66	4	197	197	NUM
fcis-23856	66	5	water	water	NOUN
fcis-23856	66	6	quality	quality	NOUN
fcis-23856	66	7	images	image	NOUN
fcis-23856	66	8	were	be	AUX
fcis-23856	66	9	collected	collect	VERB
fcis-23856	66	10	by	by	ADP
fcis-23856	66	11	digital	digital	ADJ
fcis-23856	66	12	camera	camera	NOUN
fcis-23856	66	13	from	from	ADP
fcis-23856	66	14	several	several	ADJ
fcis-23856	66	15	aquaculture	aquaculture	NOUN
fcis-23856	66	16	ponds	pond	NOUN
fcis-23856	66	17	and	and	CCONJ
fcis-23856	66	18	lakes	lake	NOUN
fcis-23856	66	19	in	in	ADP
fcis-23856	66	20	a	a	DET
fcis-23856	66	21	city	city	NOUN
fcis-23856	66	22	on	on	ADP
fcis-23856	66	23	the	the	DET
fcis-23856	66	24	internet	internet	NOUN
fcis-23856	66	25	.	.	PUNCT
fcis-23856	67	1	to	to	PART
fcis-23856	67	2	facilitate	facilitate	VERB
fcis-23856	67	3	batch	batch	NOUN
fcis-23856	67	4	processing	processing	NOUN
fcis-23856	67	5	and	and	CCONJ
fcis-23856	67	6	analysis	analysis	NOUN
fcis-23856	67	7	,	,	PUNCT
fcis-23856	67	8	all	all	DET
fcis-23856	67	9	images	image	NOUN
fcis-23856	67	10	are	be	AUX
fcis-23856	67	11	named	name	VERB
fcis-23856	67	12	in	in	ADP
fcis-23856	67	13	accordance	accordance	NOUN
fcis-23856	67	14	with	with	ADP
fcis-23856	67	15	the	the	DET
fcis-23856	67	16	unified	unified	ADJ
fcis-23856	67	17	naming	naming	NOUN
fcis-23856	67	18	rules	rule	NOUN
fcis-23856	67	19	,	,	PUNCT
fcis-23856	67	20	specifically	specifically	ADV
fcis-23856	67	21	“	"	PUNCT
fcis-23856	67	22	category	category	NOUN
fcis-23856	67	23	number	number	NOUN
fcis-23856	67	24	.	.	PUNCT
fcis-23856	68	1	jpg	jpg	NOUN
fcis-23856	68	2	.	.	PUNCT
fcis-23856	68	3	”	"	PUNCT
fcis-23856	68	4	.	.	PUNCT
fcis-23856	69	1	in	in	ADP
fcis-23856	69	2	the	the	DET
fcis-23856	69	3	field	field	NOUN
fcis-23856	69	4	of	of	ADP
fcis-23856	69	5	image	image	NOUN
fcis-23856	69	6	processing	processing	NOUN
fcis-23856	69	7	,	,	PUNCT
fcis-23856	69	8	image	image	NOUN
fcis-23856	69	9	features	feature	NOUN
fcis-23856	69	10	usually	usually	ADV
fcis-23856	69	11	include	include	VERB
fcis-23856	69	12	shape	shape	NOUN
fcis-23856	69	13	features	feature	NOUN
fcis-23856	69	14	,	,	PUNCT
fcis-23856	69	15	spatial	spatial	ADJ
fcis-23856	69	16	relationship	relationship	NOUN
fcis-23856	69	17	features	feature	NOUN
fcis-23856	69	18	,	,	PUNCT
fcis-23856	69	19	color	color	NOUN
fcis-23856	69	20	features	feature	NOUN
fcis-23856	69	21	and	and	CCONJ
fcis-23856	69	22	texture	texture	NOUN
fcis-23856	69	23	features	feature	NOUN
fcis-23856	69	24	.	.	PUNCT
fcis-23856	70	1	among	among	ADP
fcis-23856	70	2	them	they	PRON
fcis-23856	70	3	,	,	PUNCT
fcis-23856	70	4	the	the	DET
fcis-23856	70	5	color	color	NOUN
fcis-23856	70	6	feature	feature	NOUN
fcis-23856	70	7	shows	show	VERB
fcis-23856	70	8	strong	strong	ADJ
fcis-23856	70	9	robustness	robustness	NOUN
fcis-23856	70	10	because	because	SCONJ
fcis-23856	70	11	of	of	ADP
fcis-23856	70	12	its	its	PRON
fcis-23856	70	13	insensitivity	insensitivity	NOUN
fcis-23856	70	14	to	to	ADP
fcis-23856	70	15	the	the	DET
fcis-23856	70	16	size	size	NOUN
fcis-23856	70	17	and	and	CCONJ
fcis-23856	70	18	direction	direction	NOUN
fcis-23856	70	19	of	of	ADP
fcis-23856	70	20	the	the	DET
fcis-23856	70	21	object	object	NOUN
fcis-23856	70	22	.	.	PUNCT
fcis-23856	71	1	in	in	ADP
fcis-23856	71	2	view	view	NOUN
fcis-23856	71	3	of	of	ADP
fcis-23856	71	4	the	the	DET
fcis-23856	71	5	uniformity	uniformity	NOUN
fcis-23856	71	6	of	of	ADP
fcis-23856	71	7	the	the	DET
fcis-23856	71	8	water	water	NOUN
fcis-23856	71	9	color	color	NOUN
fcis-23856	71	10	image	image	NOUN
fcis-23856	71	11	in	in	ADP
fcis-23856	71	12	this	this	DET
fcis-23856	71	13	paper	paper	NOUN
fcis-23856	71	14	,	,	PUNCT
fcis-23856	71	15	the	the	DET
fcis-23856	71	16	color	color	NOUN
fcis-23856	71	17	features	feature	NOUN
fcis-23856	71	18	of	of	ADP
fcis-23856	71	19	the	the	DET
fcis-23856	71	20	water	water	NOUN
fcis-23856	71	21	color	color	NOUN
fcis-23856	71	22	image	image	NOUN
fcis-23856	71	23	as	as	ADP
fcis-23856	71	24	the	the	DET
fcis-23856	71	25	main	main	ADJ
fcis-23856	71	26	basis	basis	NOUN
fcis-23856	71	27	for	for	ADP
fcis-23856	71	28	water	water	NOUN
fcis-23856	71	29	quality	quality	NOUN
fcis-23856	71	30	classification	classification	NOUN
fcis-23856	71	31	are	be	AUX
fcis-23856	71	32	mainly	mainly	ADV
fcis-23856	71	33	concerned	concern	VERB
fcis-23856	71	34	.	.	PUNCT
fcis-23856	72	1	in	in	ADP
fcis-23856	72	2	order	order	NOUN
fcis-23856	72	3	to	to	PART
fcis-23856	72	4	identify	identify	VERB
fcis-23856	72	5	the	the	DET
fcis-23856	72	6	images	image	NOUN
fcis-23856	72	7	of	of	ADP
fcis-23856	72	8	different	different	ADJ
fcis-23856	72	9	water	water	NOUN
fcis-23856	72	10	quality	quality	NOUN
fcis-23856	72	11	categories	category	NOUN
fcis-23856	72	12	accurately	accurately	ADV
fcis-23856	72	13	,	,	PUNCT
fcis-23856	72	14	expert	expert	ADJ
fcis-23856	72	15	knowledge	knowledge	NOUN
fcis-23856	72	16	was	be	AUX
fcis-23856	72	17	introduced	introduce	VERB
fcis-23856	72	18	and	and	CCONJ
fcis-23856	72	19	the	the	DET
fcis-23856	72	20	water	water	NOUN
fcis-23856	72	21	quality	quality	NOUN
fcis-23856	72	22	categories	category	NOUN
fcis-23856	72	23	35	35	NUM
fcis-23856	72	24	were	be	AUX
fcis-23856	72	25	divided	divide	VERB
fcis-23856	72	26	into	into	ADP
fcis-23856	72	27	five	five	NUM
fcis-23856	72	28	categories	category	NOUN
fcis-23856	72	29	:	:	PUNCT
fcis-23856	72	30	light	light	ADJ
fcis-23856	72	31	green	green	ADJ
fcis-23856	72	32	,	,	PUNCT
fcis-23856	72	33	gray	gray	ADJ
fcis-23856	72	34	blue	blue	ADJ
fcis-23856	72	35	,	,	PUNCT
fcis-23856	72	36	yellow	yellow	ADJ
fcis-23856	72	37	brown	brown	NOUN
fcis-23856	72	38	,	,	PUNCT
fcis-23856	72	39	brown	brown	ADJ
fcis-23856	72	40	and	and	CCONJ
fcis-23856	72	41	green	green	ADJ
fcis-23856	72	42	.	.	PUNCT
fcis-23856	73	1	these	these	DET
fcis-23856	73	2	different	different	ADJ
fcis-23856	73	3	colors	color	NOUN
fcis-23856	73	4	represent	represent	VERB
fcis-23856	73	5	different	different	ADJ
fcis-23856	73	6	water	water	NOUN
fcis-23856	73	7	quality	quality	NOUN
fcis-23856	73	8	conditions	condition	NOUN
fcis-23856	73	9	.	.	PUNCT
fcis-23856	74	1	through	through	ADP
fcis-23856	74	2	machine	machine	NOUN
fcis-23856	74	3	learning	learn	VERB
fcis-23856	74	4	technology	technology	NOUN
fcis-23856	74	5	,	,	PUNCT
fcis-23856	74	6	the	the	DET
fcis-23856	74	7	goal	goal	NOUN
fcis-23856	74	8	is	be	AUX
fcis-23856	74	9	to	to	PART
fcis-23856	74	10	let	let	VERB
fcis-23856	74	11	the	the	DET
fcis-23856	74	12	computer	computer	NOUN
fcis-23856	74	13	automatically	automatically	ADV
fcis-23856	74	14	identify	identify	VERB
fcis-23856	74	15	and	and	CCONJ
fcis-23856	74	16	classify	classify	VERB
fcis-23856	74	17	these	these	DET
fcis-23856	74	18	images	image	NOUN
fcis-23856	74	19	,	,	PUNCT
fcis-23856	74	20	so	so	SCONJ
fcis-23856	74	21	as	as	SCONJ
fcis-23856	74	22	to	to	PART
fcis-23856	74	23	replace	replace	VERB
fcis-23856	74	24	experts	expert	NOUN
fcis-23856	74	25	to	to	PART
fcis-23856	74	26	judge	judge	VERB
fcis-23856	74	27	water	water	NOUN
fcis-23856	74	28	quality	quality	NOUN
fcis-23856	74	29	.	.	PUNCT
fcis-23856	75	1	the	the	DET
fcis-23856	75	2	specific	specific	ADJ
fcis-23856	75	3	water	water	NOUN
fcis-23856	75	4	quality	quality	NOUN
fcis-23856	75	5	classification	classification	NOUN
fcis-23856	75	6	criteria	criterion	NOUN
fcis-23856	75	7	are	be	AUX
fcis-23856	75	8	shown	show	VERB
fcis-23856	75	9	in	in	ADP
fcis-23856	75	10	table	table	NOUN
fcis-23856	75	11	1	1	NUM
fcis-23856	75	12	,	,	PUNCT
fcis-23856	75	13	detailing	detail	VERB
fcis-23856	75	14	the	the	DET
fcis-23856	75	15	color	color	NOUN
fcis-23856	75	16	characteristics	characteristic	NOUN
fcis-23856	75	17	and	and	CCONJ
fcis-23856	75	18	possible	possible	ADJ
fcis-23856	75	19	actual	actual	ADJ
fcis-23856	75	20	water	water	NOUN
fcis-23856	75	21	quality	quality	NOUN
fcis-23856	75	22	status	status	NOUN
fcis-23856	75	23	for	for	ADP
fcis-23856	75	24	each	each	DET
fcis-23856	75	25	type	type	NOUN
fcis-23856	75	26	of	of	ADP
fcis-23856	75	27	water	water	NOUN
fcis-23856	75	28	quality	quality	NOUN
fcis-23856	75	29	.	.	PUNCT
fcis-23856	76	1	table	table	NOUN
fcis-23856	76	2	1	1	NUM
fcis-23856	76	3	.	.	PUNCT
fcis-23856	77	1	water	water	NOUN
fcis-23856	77	2	quality	quality	NOUN
fcis-23856	77	3	categories	category	NOUN
fcis-23856	77	4	water	water	NOUN
fcis-23856	77	5	color	color	NOUN
fcis-23856	77	6	water	water	NOUN
fcis-23856	77	7	quality	quality	NOUN
fcis-23856	77	8	light	light	NOUN
fcis-23856	77	9	green	green	ADJ
fcis-23856	77	10	1	1	NUM
fcis-23856	77	11	gray	gray	ADJ
fcis-23856	77	12	-	-	PUNCT
fcis-23856	77	13	blue	blue	ADJ
fcis-23856	77	14	2	2	NUM
fcis-23856	77	15	tawny	tawny	NOUN
fcis-23856	77	16	3	3	NUM
fcis-23856	77	17	tawny	tawny	NOUN
fcis-23856	77	18	/	/	SYM
fcis-23856	77	19	turmeric	turmeric	ADJ
fcis-23856	77	20	4	4	NUM
fcis-23856	77	21	green	green	ADJ
fcis-23856	77	22	/	/	SYM
fcis-23856	77	23	yellow	yellow	ADJ
fcis-23856	77	24	-	-	PUNCT
fcis-23856	77	25	green	green	ADJ
fcis-23856	77	26	/	/	SYM
fcis-23856	77	27	oil	oil	NOUN
fcis-23856	77	28	-	-	PUNCT
fcis-23856	77	29	green	green	NOUN
fcis-23856	77	30	5	5	NUM
fcis-23856	77	31	it	it	PRON
fcis-23856	77	32	is	be	AUX
fcis-23856	77	33	used	use	VERB
fcis-23856	77	34	python	python	NOUN
fcis-23856	77	35	language	language	NOUN
fcis-23856	77	36	in	in	ADP
fcis-23856	77	37	programming	programming	NOUN
fcis-23856	77	38	implementation	implementation	NOUN
fcis-23856	77	39	.	.	PUNCT
fcis-23856	78	1	the	the	DET
fcis-23856	78	2	features	feature	NOUN
fcis-23856	78	3	of	of	ADP
fcis-23856	78	4	all	all	DET
fcis-23856	78	5	photos	photo	NOUN
fcis-23856	78	6	were	be	AUX
fcis-23856	78	7	extracted	extract	VERB
fcis-23856	78	8	through	through	ADP
fcis-23856	78	9	a	a	PRON
fcis-23856	78	10	for	for	ADP
fcis-23856	78	11	loop	loop	NOUN
fcis-23856	78	12	,	,	PUNCT
fcis-23856	78	13	resulting	result	VERB
fcis-23856	78	14	in	in	ADP
fcis-23856	78	15	197	197	NUM
fcis-23856	78	16	rows	row	NOUN
fcis-23856	78	17	and	and	CCONJ
fcis-23856	78	18	11	11	NUM
fcis-23856	78	19	columns	column	NOUN
fcis-23856	78	20	.	.	PUNCT
fcis-23856	79	1	some	some	PRON
fcis-23856	79	2	of	of	ADP
fcis-23856	79	3	the	the	DET
fcis-23856	79	4	data	data	NOUN
fcis-23856	79	5	results	result	NOUN
fcis-23856	79	6	are	be	AUX
fcis-23856	79	7	shown	show	VERB
fcis-23856	79	8	in	in	ADP
fcis-23856	79	9	table	table	NOUN
fcis-23856	79	10	2	2	NUM
fcis-23856	79	11	.	.	PUNCT
fcis-23856	79	12	table	table	NOUN
fcis-23856	79	13	2	2	NUM
fcis-23856	79	14	.	.	PUNCT
fcis-23856	79	15	color	color	NOUN
fcis-23856	79	16	feature	feature	NOUN
fcis-23856	79	17	data	datum	NOUN
fcis-23856	79	18	class	class	NOUN
fcis-23856	79	19	no	no	INTJ
fcis-23856	79	20	.	.	PUNCT
fcis-23856	80	1	r_1	r_1	PROPN
fcis-23856	80	2	g_1	g_1	PROPN
fcis-23856	80	3	b_2	b_2	PROPN
fcis-23856	80	4	r_2	r_2	PROPN
fcis-23856	80	5	g_2	g_2	PROPN
fcis-23856	80	6	b_2	b_2	PROPN
fcis-23856	80	7	r_3	r_3	NOUN
fcis-23856	80	8	g_3	g_3	PROPN
fcis-23856	80	9	b_3	b_3	VERB
fcis-23856	80	10	1	1	NUM
fcis-23856	80	11	1	1	NUM
fcis-23856	80	12	0.58276	0.58276	NUM
fcis-23856	80	13	0.543685	0.543685	NUM
fcis-23856	80	14	0.252426	0.252426	NUM
fcis-23856	80	15	0.014247	0.014247	NUM
fcis-23856	80	16	0.01619	0.01619	NUM
fcis-23856	80	17	0.041173	0.041173	NUM
fcis-23856	80	18	-0.01263	-0.01263	PROPN
fcis-23856	80	19	-0.01606	-0.01606	PROPN
fcis-23856	80	20	-0.0414	-0.0414	NOUN
fcis-23856	81	1	1	1	NUM
fcis-23856	81	2	10	10	NUM
fcis-23856	81	3	0.64187	0.64187	NUM
fcis-23856	81	4	0.570773	0.570773	NUM
fcis-23856	81	5	0.213572	0.213572	NUM
fcis-23856	81	6	0.015429	0.015429	NUM
fcis-23856	81	7	0.011138	0.011138	NUM
fcis-23856	81	8	0.013735	0.013735	NUM
fcis-23856	81	9	0.009572	0.009572	NUM
fcis-23856	81	10	-0.00399	-0.00399	NOUN
fcis-23856	81	11	-0.00203	-0.00203	VERB
fcis-23856	81	12	1	1	NUM
fcis-23856	81	13	11	11	NUM
fcis-23856	81	14	0.603698	0.603698	NUM
fcis-23856	81	15	0.576798	0.576798	NUM
fcis-23856	81	16	0.282196	0.282196	NUM
fcis-23856	81	17	0.008728	0.008728	NUM
fcis-23856	81	18	0.007102	0.007102	NUM
fcis-23856	81	19	0.0123	0.0123	NUM
fcis-23856	81	20	-0.00466	-0.00466	NOUN
fcis-23856	81	21	-0.00234	-0.00234	NOUN
fcis-23856	81	22	-0.00955	-0.00955	NOUN
fcis-23856	81	23	1	1	NUM
fcis-23856	81	24	12	12	NUM
fcis-23856	81	25	0.589696	0.589696	NUM
fcis-23856	81	26	0.593718	0.593718	NUM
fcis-23856	81	27	0.252221	0.252221	NUM
fcis-23856	81	28	0.00799	0.00799	NUM
fcis-23856	81	29	0.005967	0.005967	NUM
fcis-23856	81	30	0.010698	0.010698	NUM
fcis-23856	81	31	0.003726	0.003726	NUM
fcis-23856	81	32	-0.00361	-0.00361	NOUN
fcis-23856	81	33	-0.00507	-0.00507	VERB
fcis-23856	81	34	1	1	NUM
fcis-23856	81	35	13	13	NUM
fcis-23856	81	36	0.59113	0.59113	NUM
fcis-23856	82	1	0.592068	0.592068	NUM
fcis-23856	82	2	0.253413	0.253413	NUM
fcis-23856	82	3	0.007524	0.007524	NUM
fcis-23856	82	4	0.00653	0.00653	NUM
fcis-23856	82	5	0.0122	0.0122	NUM
fcis-23856	82	6	-0.00136	-0.00136	NOUN
fcis-23856	82	7	-0.00184	-0.00184	NOUN
fcis-23856	82	8	-0.00431	-0.00431	PROPN
fcis-23856	83	1	1	1	NUM
fcis-23856	83	2	14	14	NUM
fcis-23856	83	3	0.588769	0.588769	NUM
fcis-23856	83	4	0.569681	0.569681	NUM
fcis-23856	83	5	0.318891	0.318891	NUM
fcis-23856	83	6	0.00758	0.00758	NUM
fcis-23856	83	7	0.005039	0.005039	NUM
fcis-23856	83	8	0.008497	0.008497	NUM
fcis-23856	83	9	-0.0035	-0.0035	NOUN
fcis-23856	83	10	0.001897	0.001897	NUM
fcis-23856	83	11	-0.00572	-0.00572	NOUN
fcis-23856	83	12	1	1	NUM
fcis-23856	83	13	15	15	NUM
fcis-23856	83	14	0.588507	0.588507	NUM
fcis-23856	83	15	0.573246	0.573246	NUM
fcis-23856	83	16	0.288332	0.288332	NUM
fcis-23856	83	17	0.007371	0.007371	NUM
fcis-23856	83	18	0.005135	0.005135	NUM
fcis-23856	83	19	0.011889	0.011889	NUM
fcis-23856	83	20	0.003095	0.003095	NUM
fcis-23856	83	21	-0.00109	-0.00109	VERB
fcis-23856	83	22	0.008591	0.008591	NUM
fcis-23856	83	23	1	1	NUM
fcis-23856	83	24	16	16	NUM
fcis-23856	83	25	0.61813	0.61813	NUM
fcis-23856	83	26	0.539698	0.539698	NUM
fcis-23856	83	27	0.274516	0.274516	NUM
fcis-23856	84	1	0.008626	0.008626	NUM
fcis-23856	84	2	0.006167	0.006167	NUM
fcis-23856	84	3	0.014641	0.014641	NUM
fcis-23856	84	4	-0.0025	-0.0025	NOUN
fcis-23856	84	5	0.003659	0.003659	NUM
fcis-23856	84	6	0.014072	0.014072	NUM
fcis-23856	84	7	1	1	NUM
fcis-23856	84	8	17	17	NUM
fcis-23856	84	9	0.618471	0.618471	NUM
fcis-23856	84	10	0.539224	0.539224	NUM
fcis-23856	84	11	0.273564	0.273564	NUM
fcis-23856	84	12	0.0089	0.0089	NUM
fcis-23856	84	13	0.005845	0.005845	NUM
fcis-23856	84	14	0.014155	0.014155	NUM
fcis-23856	84	15	0.003123	0.003123	NUM
fcis-23856	84	16	0.003313	0.003313	NUM
fcis-23856	84	17	0.014492	0.014492	NUM
fcis-23856	84	18	1	1	NUM
fcis-23856	84	19	18	18	NUM
fcis-23856	84	20	0.664273	0.664273	NUM
fcis-23856	84	21	0.576335	0.576335	NUM
fcis-23856	84	22	0.293741	0.293741	NUM
fcis-23856	84	23	0.011002	0.011002	NUM
fcis-23856	84	24	0.007727	0.007727	NUM
fcis-23856	84	25	0.019136	0.019136	NUM
fcis-23856	84	26	-0.00514	-0.00514	NOUN
fcis-23856	84	27	0.004122	0.004122	NUM
fcis-23856	84	28	0.012665	0.012665	NUM
fcis-23856	84	29	nine	nine	NUM
fcis-23856	84	30	color	color	NOUN
fcis-23856	84	31	moment	moment	NOUN
fcis-23856	84	32	parameters	parameter	NOUN
fcis-23856	84	33	are	be	AUX
fcis-23856	84	34	extracted	extract	VERB
fcis-23856	84	35	from	from	ADP
fcis-23856	84	36	each	each	DET
fcis-23856	84	37	sample	sample	NOUN
fcis-23856	84	38	and	and	CCONJ
fcis-23856	84	39	used	use	VERB
fcis-23856	84	40	as	as	ADP
fcis-23856	84	41	input	input	NOUN
fcis-23856	84	42	vectors	vector	NOUN
fcis-23856	84	43	for	for	ADP
fcis-23856	84	44	three	three	NUM
fcis-23856	84	45	different	different	ADJ
fcis-23856	84	46	algorithms	algorithm	NOUN
fcis-23856	84	47	.	.	PUNCT
fcis-23856	85	1	the	the	DET
fcis-23856	85	2	specific	specific	ADJ
fcis-23856	85	3	values	value	NOUN
fcis-23856	85	4	of	of	ADP
fcis-23856	85	5	these	these	DET
fcis-23856	85	6	characteristic	characteristic	ADJ
fcis-23856	85	7	parameters	parameter	NOUN
fcis-23856	85	8	have	have	AUX
fcis-23856	85	9	been	be	AUX
fcis-23856	85	10	listed	list	VERB
fcis-23856	85	11	in	in	ADP
fcis-23856	85	12	table	table	NOUN
fcis-23856	85	13	3	3	NUM
fcis-23856	85	14	in	in	ADP
fcis-23856	85	15	detail	detail	NOUN
fcis-23856	85	16	36	36	NUM
fcis-23856	85	17	different	different	ADJ
fcis-23856	85	18	grades	grade	NOUN
fcis-23856	85	19	of	of	ADP
fcis-23856	85	20	water	water	NOUN
fcis-23856	85	21	quality	quality	NOUN
fcis-23856	85	22	mean	mean	ADJ
fcis-23856	85	23	moment	moment	NOUN
fcis-23856	85	24	values	value	NOUN
fcis-23856	85	25	.	.	PUNCT
fcis-23856	86	1	table	table	NOUN
fcis-23856	86	2	3	3	NUM
fcis-23856	86	3	.	.	PUNCT
fcis-23856	87	1	mean	mean	ADJ
fcis-23856	87	2	moments	moment	NOUN
fcis-23856	87	3	of	of	ADP
fcis-23856	87	4	color	color	NOUN
fcis-23856	87	5	for	for	ADP
fcis-23856	87	6	different	different	ADJ
fcis-23856	87	7	water	water	NOUN
fcis-23856	87	8	quality	quality	NOUN
fcis-23856	87	9	categories	category	NOUN
fcis-23856	87	10	mean	mean	VERB
fcis-23856	87	11	r_1	r_1	PROPN
fcis-23856	87	12	g_1	g_1	PROPN
fcis-23856	87	13	b_2	b_2	PROPN
fcis-23856	87	14	r_2	r_2	PROPN
fcis-23856	87	15	g_2	g_2	PROPN
fcis-23856	87	16	b_2	b_2	PROPN
fcis-23856	87	17	r_3	r_3	NOUN
fcis-23856	87	18	g_3	g_3	PROPN
fcis-23856	87	19	b_3	b_3	VERB
fcis-23856	87	20	grade	grade	NOUN
fcis-23856	87	21	1	1	NUM
fcis-23856	87	22	0.610204	0.610204	NUM
fcis-23856	87	23	0.574785	0.574785	NUM
fcis-23856	87	24	0.268092	0.268092	NUM
fcis-23856	87	25	0.009331651	0.009331651	NUM
fcis-23856	87	26	0.006864815	0.006864815	NUM
fcis-23856	87	27	0.012292184	0.012292184	NUM
fcis-23856	87	28	-0.000988557	-0.000988557	NOUN
fcis-23856	87	29	-0.001327807	-0.001327807	ADJ
fcis-23856	87	30	-0.000304472	-0.000304472	PROPN
fcis-23856	87	31	grade	grade	NOUN
fcis-23856	87	32	2	2	NUM
fcis-23856	87	33	0.524593	0.524593	NUM
fcis-23856	87	34	0.53524	0.53524	NUM
fcis-23856	87	35	0.336173	0.336173	NUM
fcis-23856	87	36	0.010272269	0.010272269	NUM
fcis-23856	87	37	0.008091553	0.008091553	NUM
fcis-23856	87	38	0.012270426	0.012270426	NUM
fcis-23856	87	39	0.002926114	0.002926114	NUM
fcis-23856	87	40	0.002146608	0.002146608	NUM
fcis-23856	87	41	0.004036228	0.004036228	NUM
fcis-23856	87	42	grade	grade	NOUN
fcis-23856	87	43	3	3	NUM
fcis-23856	87	44	0.540234	0.540234	NUM
fcis-23856	87	45	0.521514	0.521514	NUM
fcis-23856	87	46	0.199152	0.199152	NUM
fcis-23856	87	47	0.009416922	0.009416922	NUM
fcis-23856	87	48	0.007167669	0.007167669	NUM
fcis-23856	87	49	0.012705104	0.012705104	NUM
fcis-23856	87	50	3.24976e-05	3.24976e-05	NUM
fcis-23856	87	51	-0.001075195	-0.001075195	NOUN
fcis-23856	87	52	0.000387175	0.000387175	NUM
fcis-23856	87	53	grade	grade	NOUN
fcis-23856	87	54	4	4	NUM
fcis-23856	87	55	0.450311	0.450311	NUM
fcis-23856	87	56	0.460043	0.460043	NUM
fcis-23856	87	57	0.200711	0.200711	NUM
fcis-23856	87	58	0.010082893	0.010082893	NUM
fcis-23856	87	59	0.007277105	0.007277105	NUM
fcis-23856	87	60	0.012888535	0.012888535	NUM
fcis-23856	87	61	0.002815967	0.002815967	NUM
fcis-23856	87	62	0.000520603	0.000520603	NUM
fcis-23856	87	63	0.001396737	0.001396737	NUM
fcis-23856	87	64	3	3	NUM
fcis-23856	87	65	.	.	PUNCT
fcis-23856	88	1	svm	svm	ADJ
fcis-23856	88	2	algorithm	algorithm	NOUN
fcis-23856	88	3	based	base	VERB
fcis-23856	88	4	on	on	ADP
fcis-23856	88	5	the	the	DET
fcis-23856	88	6	statistical	statistical	ADJ
fcis-23856	88	7	learning	learning	NOUN
fcis-23856	88	8	theory	theory	NOUN
fcis-23856	88	9	,	,	PUNCT
fcis-23856	88	10	support	support	NOUN
fcis-23856	88	11	vector	vector	NOUN
fcis-23856	88	12	machine	machine	NOUN
fcis-23856	88	13	support	support	NOUN
fcis-23856	88	14	vector	vector	NOUN
fcis-23856	88	15	machine	machine	NOUN
fcis-23856	88	16	(	(	PUNCT
fcis-23856	88	17	svm	svm	PROPN
fcis-23856	88	18	)	)	PUNCT
fcis-23856	88	19	has	have	AUX
fcis-23856	88	20	been	be	AUX
fcis-23856	88	21	developed	develop	VERB
fcis-23856	88	22	as	as	ADP
fcis-23856	88	23	an	an	DET
fcis-23856	88	24	excellent	excellent	ADJ
fcis-23856	88	25	classification	classification	NOUN
fcis-23856	88	26	model	model	NOUN
fcis-23856	88	27	in	in	ADP
fcis-23856	88	28	recent	recent	ADJ
fcis-23856	88	29	years	year	NOUN
fcis-23856	88	30	,	,	PUNCT
fcis-23856	88	31	which	which	PRON
fcis-23856	88	32	opens	open	VERB
fcis-23856	88	33	up	up	ADP
fcis-23856	88	34	a	a	DET
fcis-23856	88	35	new	new	ADJ
fcis-23856	88	36	way	way	NOUN
fcis-23856	88	37	for	for	ADP
fcis-23856	88	38	the	the	DET
fcis-23856	88	39	study	study	NOUN
fcis-23856	88	40	of	of	ADP
fcis-23856	88	41	water	water	NOUN
fcis-23856	88	42	quality	quality	NOUN
fcis-23856	88	43	assessment	assessment	NOUN
fcis-23856	88	44	.	.	PUNCT
fcis-23856	89	1	as	as	ADP
fcis-23856	89	2	a	a	DET
fcis-23856	89	3	machine	machine	NOUN
fcis-23856	89	4	learning	learning	NOUN
fcis-23856	89	5	technique	technique	NOUN
fcis-23856	89	6	designed	design	VERB
fcis-23856	89	7	for	for	ADP
fcis-23856	89	8	classification	classification	NOUN
fcis-23856	89	9	problems	problem	NOUN
fcis-23856	89	10	,	,	PUNCT
fcis-23856	89	11	svm	svm	VERB
fcis-23856	89	12	not	not	PART
fcis-23856	89	13	only	only	ADV
fcis-23856	89	14	has	have	VERB
fcis-23856	89	15	a	a	DET
fcis-23856	89	16	clear	clear	ADJ
fcis-23856	89	17	structure	structure	NOUN
fcis-23856	89	18	,	,	PUNCT
fcis-23856	89	19	but	but	CCONJ
fcis-23856	89	20	also	also	ADV
fcis-23856	89	21	shows	show	VERB
fcis-23856	89	22	strong	strong	ADJ
fcis-23856	89	23	generalization	generalization	NOUN
fcis-23856	89	24	ability	ability	NOUN
fcis-23856	89	25	in	in	ADP
fcis-23856	89	26	many	many	ADJ
fcis-23856	89	27	data	datum	NOUN
fcis-23856	89	28	models	model	NOUN
fcis-23856	89	29	.	.	PUNCT
fcis-23856	90	1	especially	especially	ADV
fcis-23856	90	2	when	when	SCONJ
fcis-23856	90	3	dealing	deal	VERB
fcis-23856	90	4	with	with	ADP
fcis-23856	90	5	small	small	ADJ
fcis-23856	90	6	sample	sample	NOUN
fcis-23856	90	7	data	datum	NOUN
fcis-23856	90	8	,	,	PUNCT
fcis-23856	90	9	svm	svm	PROPN
fcis-23856	90	10	can	can	AUX
fcis-23856	90	11	effectively	effectively	ADV
fcis-23856	90	12	avoid	avoid	VERB
fcis-23856	90	13	the	the	DET
fcis-23856	90	14	common	common	ADJ
fcis-23856	90	15	“	"	PUNCT
fcis-23856	90	16	over	over	ADV
fcis-23856	90	17	-	-	PUNCT
fcis-23856	90	18	fitting	fitting	ADJ
fcis-23856	90	19	”	"	PUNCT
fcis-23856	90	20	problem	problem	NOUN
fcis-23856	90	21	in	in	ADP
fcis-23856	90	22	the	the	DET
fcis-23856	90	23	neural	neural	ADJ
fcis-23856	90	24	network	network	NOUN
fcis-23856	90	25	,	,	PUNCT
fcis-23856	90	26	and	and	CCONJ
fcis-23856	90	27	prevent	prevent	VERB
fcis-23856	90	28	the	the	DET
fcis-23856	90	29	model	model	NOUN
fcis-23856	90	30	from	from	ADP
fcis-23856	90	31	falling	fall	VERB
fcis-23856	90	32	into	into	ADP
fcis-23856	90	33	local	local	ADJ
fcis-23856	90	34	optimum	optimum	NOUN
fcis-23856	90	35	to	to	PART
fcis-23856	90	36	ensure	ensure	VERB
fcis-23856	90	37	that	that	SCONJ
fcis-23856	90	38	the	the	DET
fcis-23856	90	39	solution	solution	NOUN
fcis-23856	90	40	is	be	AUX
fcis-23856	90	41	global	global	ADJ
fcis-23856	90	42	optimum	optimum	NOUN
fcis-23856	90	43	.	.	PUNCT
fcis-23856	91	1	at	at	ADP
fcis-23856	91	2	present	present	ADJ
fcis-23856	91	3	,	,	PUNCT
fcis-23856	91	4	svm	svm	ADJ
fcis-23856	91	5	algorithm	algorithm	NOUN
fcis-23856	91	6	has	have	AUX
fcis-23856	91	7	been	be	AUX
fcis-23856	91	8	widely	widely	ADV
fcis-23856	91	9	used	use	VERB
fcis-23856	91	10	in	in	ADP
fcis-23856	91	11	pattern	pattern	NOUN
fcis-23856	91	12	recognition	recognition	NOUN
fcis-23856	91	13	,	,	PUNCT
fcis-23856	91	14	time	time	NOUN
fcis-23856	91	15	series	series	PROPN
fcis-23856	91	16	analysis	analysis	NOUN
fcis-23856	91	17	,	,	PUNCT
fcis-23856	91	18	cluster	cluster	NOUN
fcis-23856	91	19	analysis	analysis	NOUN
fcis-23856	91	20	and	and	CCONJ
fcis-23856	91	21	other	other	ADJ
fcis-23856	91	22	fields	field	NOUN
fcis-23856	91	23	when	when	SCONJ
fcis-23856	91	24	dealing	deal	VERB
fcis-23856	91	25	with	with	ADP
fcis-23856	91	26	multi	multi	ADJ
fcis-23856	91	27	-	-	ADJ
fcis-23856	91	28	class	class	ADJ
fcis-23856	91	29	classification	classification	NOUN
fcis-23856	91	30	problems	problem	NOUN
fcis-23856	91	31	,	,	PUNCT
fcis-23856	91	32	svm	svm	PROPN
fcis-23856	91	33	provides	provide	VERB
fcis-23856	91	34	many	many	ADJ
fcis-23856	91	35	methods	method	NOUN
fcis-23856	91	36	such	such	ADJ
fcis-23856	91	37	as	as	ADP
fcis-23856	91	38	“	"	PUNCT
fcis-23856	91	39	one	one	NUM
fcis-23856	91	40	-	-	PUNCT
fcis-23856	91	41	to	to	ADP
fcis-23856	91	42	-	-	PUNCT
fcis-23856	91	43	one	one	NUM
fcis-23856	91	44	”	"	PUNCT
fcis-23856	91	45	,	,	PUNCT
fcis-23856	91	46	“	"	PUNCT
fcis-23856	91	47	oneto	oneto	NOUN
fcis-23856	91	48	-	-	PUNCT
fcis-23856	91	49	remainder	remainder	NOUN
fcis-23856	91	50	”	"	PUNCT
fcis-23856	91	51	and	and	CCONJ
fcis-23856	91	52	“	"	PUNCT
fcis-23856	91	53	decision	decision	NOUN
fcis-23856	91	54	tree	tree	NOUN
fcis-23856	91	55	”	"	PUNCT
fcis-23856	91	56	.	.	PUNCT
fcis-23856	92	1	among	among	ADP
fcis-23856	92	2	them	they	PRON
fcis-23856	92	3	,	,	PUNCT
fcis-23856	92	4	“	"	PUNCT
fcis-23856	92	5	decision	decision	NOUN
fcis-23856	92	6	tree	tree	NOUN
fcis-23856	92	7	”	"	PUNCT
fcis-23856	92	8	method	method	NOUN
fcis-23856	92	9	is	be	AUX
fcis-23856	92	10	the	the	DET
fcis-23856	92	11	first	first	ADJ
fcis-23856	92	12	choice	choice	NOUN
fcis-23856	92	13	in	in	ADP
fcis-23856	92	14	this	this	DET
fcis-23856	92	15	paper	paper	NOUN
fcis-23856	92	16	because	because	SCONJ
fcis-23856	92	17	of	of	ADP
fcis-23856	92	18	its	its	PRON
fcis-23856	92	19	high	high	ADJ
fcis-23856	92	20	classification	classification	NOUN
fcis-23856	92	21	accuracy	accuracy	NOUN
fcis-23856	92	22	,	,	PUNCT
fcis-23856	92	23	low	low	ADJ
fcis-23856	92	24	learning	learning	NOUN
fcis-23856	92	25	training	training	NOUN
fcis-23856	92	26	cost	cost	NOUN
fcis-23856	92	27	and	and	CCONJ
fcis-23856	92	28	reduce	reduce	VERB
fcis-23856	92	29	repeated	repeat	VERB
fcis-23856	92	30	training	training	NOUN
fcis-23856	92	31	samples	sample	NOUN
fcis-23856	92	32	.	.	PUNCT
fcis-23856	93	1	the	the	DET
fcis-23856	93	2	core	core	NOUN
fcis-23856	93	3	of	of	ADP
fcis-23856	93	4	svm	svm	ADJ
fcis-23856	93	5	classification	classification	NOUN
fcis-23856	93	6	model	model	NOUN
fcis-23856	93	7	is	be	AUX
fcis-23856	93	8	the	the	DET
fcis-23856	93	9	principle	principle	NOUN
fcis-23856	93	10	of	of	ADP
fcis-23856	93	11	structural	structural	ADJ
fcis-23856	93	12	risk	risk	NOUN
fcis-23856	93	13	minimization	minimization	NOUN
fcis-23856	93	14	,	,	PUNCT
fcis-23856	93	15	which	which	PRON
fcis-23856	93	16	aims	aim	VERB
fcis-23856	93	17	at	at	ADP
fcis-23856	93	18	maximizing	maximize	VERB
fcis-23856	93	19	the	the	DET
fcis-23856	93	20	distance	distance	NOUN
fcis-23856	93	21	of	of	ADP
fcis-23856	93	22	classification	classification	NOUN
fcis-23856	93	23	boundary	boundary	ADJ
fcis-23856	93	24	to	to	PART
fcis-23856	93	25	achieve	achieve	VERB
fcis-23856	93	26	accurate	accurate	ADJ
fcis-23856	93	27	classification	classification	NOUN
fcis-23856	93	28	.	.	PUNCT
fcis-23856	94	1	when	when	SCONJ
fcis-23856	94	2	processing	processing	NOUN
fcis-23856	94	3	data	datum	NOUN
fcis-23856	94	4	,	,	PUNCT
fcis-23856	94	5	it	it	PRON
fcis-23856	94	6	is	be	AUX
fcis-23856	94	7	necessary	necessary	ADJ
fcis-23856	94	8	to	to	PART
fcis-23856	94	9	distinguish	distinguish	VERB
fcis-23856	94	10	between	between	ADP
fcis-23856	94	11	linear	linear	PROPN
fcis-23856	94	12	separable	separable	ADJ
fcis-23856	94	13	and	and	CCONJ
fcis-23856	94	14	linear	linear	ADJ
fcis-23856	94	15	indivisible	indivisible	ADJ
fcis-23856	94	16	.	.	PUNCT
fcis-23856	95	1	for	for	ADP
fcis-23856	95	2	linearly	linearly	ADV
fcis-23856	95	3	separable	separable	ADJ
fcis-23856	95	4	data	datum	NOUN
fcis-23856	95	5	,	,	PUNCT
fcis-23856	95	6	svm	svm	PROPN
fcis-23856	95	7	realizes	realize	VERB
fcis-23856	95	8	classification	classification	NOUN
fcis-23856	95	9	by	by	ADP
fcis-23856	95	10	finding	find	VERB
fcis-23856	95	11	the	the	DET
fcis-23856	95	12	optimal	optimal	ADJ
fcis-23856	95	13	hyperplane	hyperplane	NOUN
fcis-23856	95	14	which	which	PRON
fcis-23856	95	15	can	can	AUX
fcis-23856	95	16	divide	divide	VERB
fcis-23856	95	17	the	the	DET
fcis-23856	95	18	training	training	NOUN
fcis-23856	95	19	set	set	VERB
fcis-23856	95	20	correctly	correctly	ADV
fcis-23856	95	21	and	and	CCONJ
fcis-23856	95	22	has	have	VERB
fcis-23856	95	23	the	the	DET
fcis-23856	95	24	largest	large	ADJ
fcis-23856	95	25	geometric	geometric	ADJ
fcis-23856	95	26	interval	interval	NOUN
fcis-23856	95	27	,	,	PUNCT
fcis-23856	95	28	while	while	SCONJ
fcis-23856	95	29	for	for	ADP
fcis-23856	95	30	linearly	linearly	ADV
fcis-23856	95	31	indivisible	indivisible	ADJ
fcis-23856	95	32	data	datum	NOUN
fcis-23856	95	33	,	,	PUNCT
fcis-23856	95	34	then	then	ADV
fcis-23856	95	35	,	,	PUNCT
fcis-23856	95	36	a	a	DET
fcis-23856	95	37	nonlinear	nonlinear	ADJ
fcis-23856	95	38	mapping	mapping	NOUN
fcis-23856	95	39	algorithm	algorithm	NOUN
fcis-23856	95	40	(	(	PUNCT
fcis-23856	95	41	kernel	kernel	PROPN
fcis-23856	95	42	function	function	PROPN
fcis-23856	95	43	)	)	PUNCT
fcis-23856	95	44	is	be	AUX
fcis-23856	95	45	used	use	VERB
fcis-23856	95	46	to	to	PART
fcis-23856	95	47	map	map	VERB
fcis-23856	95	48	the	the	DET
fcis-23856	95	49	samples	sample	NOUN
fcis-23856	95	50	from	from	ADP
fcis-23856	95	51	lowdimensional	lowdimensional	ADJ
fcis-23856	95	52	space	space	NOUN
fcis-23856	95	53	to	to	ADP
fcis-23856	95	54	high	high	ADJ
fcis-23856	95	55	-	-	PUNCT
fcis-23856	95	56	dimensional	dimensional	ADJ
fcis-23856	95	57	feature	feature	NOUN
fcis-23856	95	58	space	space	NOUN
fcis-23856	95	59	,	,	PUNCT
fcis-23856	95	60	which	which	PRON
fcis-23856	95	61	is	be	AUX
fcis-23856	95	62	transformed	transform	VERB
fcis-23856	95	63	into	into	ADP
fcis-23856	95	64	a	a	DET
fcis-23856	95	65	linear	linear	ADJ
fcis-23856	95	66	separable	separable	ADJ
fcis-23856	95	67	problem	problem	NOUN
fcis-23856	95	68	and	and	CCONJ
fcis-23856	95	69	then	then	ADV
fcis-23856	95	70	solved	solve	VERB
fcis-23856	95	71	by	by	ADP
fcis-23856	95	72	linear	linear	NOUN
fcis-23856	95	73	classification	classification	NOUN
fcis-23856	95	74	method	method	NOUN
fcis-23856	95	75	.	.	PUNCT
fcis-23856	96	1	suppose	suppose	VERB
fcis-23856	96	2	we	we	PRON
fcis-23856	96	3	randomly	randomly	ADV
fcis-23856	96	4	select	select	VERB
fcis-23856	96	5	a	a	DET
fcis-23856	96	6	given	give	VERB
fcis-23856	96	7	training	training	NOUN
fcis-23856	96	8	sample	sample	NOUN
fcis-23856	96	9	set	set	VERB
fcis-23856	96	10	from	from	ADP
fcis-23856	96	11	an	an	DET
fcis-23856	96	12	unknown	unknown	ADJ
fcis-23856	96	13	cumulative	cumulative	ADJ
fcis-23856	96	14	distribution	distribution	NOUN
fcis-23856	96	15	function	function	NOUN
fcis-23856	96	16	,	,	PUNCT
fcis-23856	96	17	,	,	PUNCT
fcis-23856	96	18	in	in	ADP
fcis-23856	96	19	order	order	NOUN
fcis-23856	96	20	for	for	SCONJ
fcis-23856	96	21	the	the	DET
fcis-23856	96	22	classification	classification	NOUN
fcis-23856	96	23	hyperplane	hyperplane	NOUN
fcis-23856	96	24	to	to	PART
fcis-23856	96	25	correctly	correctly	ADV
fcis-23856	96	26	classify	classify	VERB
fcis-23856	96	27	all	all	DET
fcis-23856	96	28	samples	sample	NOUN
fcis-23856	96	29	and	and	CCONJ
fcis-23856	96	30	to	to	PART
fcis-23856	96	31	maximize	maximize	VERB
fcis-23856	96	32	the	the	DET
fcis-23856	96	33	classification	classification	NOUN
fcis-23856	96	34	interval	interval	NOUN
fcis-23856	96	35	,	,	PUNCT
fcis-23856	96	36	the	the	DET
fcis-23856	96	37	constraint	constraint	NOUN
fcis-23856	96	38	conditions	condition	NOUN
fcis-23856	96	39	are	be	AUX
fcis-23856	96	40	:	:	PUNCT
fcis-23856	96	41	1	1	NUM
fcis-23856	96	42	1	1	NUM
fcis-23856	96	43	}	}	PUNCT
fcis-23856	96	44	(	(	PUNCT
fcis-23856	96	45	)	)	PUNCT
fcis-23856	96	46	1	1	NUM
fcis-23856	96	47	0	0	NUM
fcis-23856	96	48	1	1	NUM
fcis-23856	96	49	1	1	NUM
fcis-23856	97	1	i	i	PRON
fcis-23856	98	1	i	i	PRON
fcis-23856	99	1	i	i	PRON
fcis-23856	100	1	i	i	PRON
fcis-23856	101	1	i	i	PRON
fcis-23856	102	1	i	i	VERB
fcis-23856	102	2	w	w	VERB
fcis-23856	102	3	x	x	PROPN
fcis-23856	102	4	b	b	PROPN
fcis-23856	102	5	yfor	yfor	PROPN
fcis-23856	102	6	y	y	PROPN
fcis-23856	102	7	w	w	PROPN
fcis-23856	102	8	x	x	PROPN
fcis-23856	102	9	b	b	X
fcis-23856	102	10	w	w	PROPN
fcis-23856	102	11	x	x	PROPN
fcis-23856	102	12	b	b	PROPN
fcis-23856	102	13	yfor	yfor	PROPN
fcis-23856	102	14			PROPN
fcis-23856	102	15			X
fcis-23856	102	16			NUM
fcis-23856	102	17			PUNCT
fcis-23856	102	18			NUM
fcis-23856	102	19			ADV
fcis-23856	102	20			ADJ
fcis-23856	102	21			PROPN
fcis-23856	102	22			PUNCT
fcis-23856	102	23			PROPN
fcis-23856	102	24			NUM
fcis-23856	102	25			PROPN
fcis-23856	102	26			PUNCT
fcis-23856	102	27			NOUN
fcis-23856	102	28			ADV
fcis-23856	102	29			PRON
fcis-23856	102	30			NOUN
fcis-23856	102	31	(	(	PUNCT
fcis-23856	102	32	4	4	NUM
fcis-23856	102	33	)	)	PUNCT
fcis-23856	102	34	{	{	PUNCT
fcis-23856	102	35	(	(	PUNCT
fcis-23856	102	36	,	,	PUNCT
fcis-23856	102	37	)	)	PUNCT
fcis-23856	102	38	,	,	PUNCT
fcis-23856	102	39	1	1	NUM
fcis-23856	102	40	,	,	PUNCT
fcis-23856	102	41	2	2	NUM
fcis-23856	102	42	,	,	PUNCT
fcis-23856	102	43	,	,	PUNCT
fcis-23856	102	44	}	}	PUNCT
fcis-23856	102	45	,	,	PUNCT
fcis-23856	102	46	,	,	PUNCT
fcis-23856	102	47	di	di	INTJ
fcis-23856	103	1	i	i	PRON
fcis-23856	103	2	i	i	PRON
fcis-23856	103	3	ix	ix	VERB
fcis-23856	103	4	y	y	INTJ
fcis-23856	104	1	i	i	NOUN
fcis-23856	104	2	l	l	NOUN
fcis-23856	105	1	x	x	PUNCT
fcis-23856	105	2	r	r	NOUN
fcis-23856	105	3	y	y	PROPN
fcis-23856	105	4	r	r	PROPN
fcis-23856	105	5			NOUN
fcis-23856	105	6			VERB
fcis-23856	105	7	36	36	NUM
fcis-23856	105	8	is	be	AUX
fcis-23856	105	9	the	the	DET
fcis-23856	105	10	input	input	NOUN
fcis-23856	105	11	value	value	NOUN
fcis-23856	105	12	;	;	PUNCT
fcis-23856	105	13	is	be	AUX
fcis-23856	105	14	an	an	DET
fcis-23856	105	15	adjustable	adjustable	ADJ
fcis-23856	105	16	weight	weight	NOUN
fcis-23856	105	17	function	function	NOUN
fcis-23856	105	18	;	;	PUNCT
fcis-23856	105	19	is	be	AUX
fcis-23856	105	20	a	a	DET
fcis-23856	105	21	threshold	threshold	NOUN
fcis-23856	105	22	value	value	NOUN
fcis-23856	105	23	;	;	PUNCT
fcis-23856	105	24	represents	represent	VERB
fcis-23856	105	25	a	a	DET
fcis-23856	105	26	vector	vector	NOUN
fcis-23856	105	27	and	and	CCONJ
fcis-23856	105	28	of	of	ADP
fcis-23856	105	29	the	the	DET
fcis-23856	105	30	inner	inner	ADJ
fcis-23856	105	31	product	product	NOUN
fcis-23856	105	32	.	.	PUNCT
fcis-23856	106	1	when	when	SCONJ
fcis-23856	106	2	the	the	DET
fcis-23856	106	3	sample	sample	NOUN
fcis-23856	106	4	classification	classification	NOUN
fcis-23856	106	5	data	datum	NOUN
fcis-23856	106	6	is	be	AUX
fcis-23856	106	7	linearly	linearly	ADV
fcis-23856	106	8	separable	separable	ADJ
fcis-23856	106	9	,	,	PUNCT
fcis-23856	106	10	the	the	DET
fcis-23856	106	11	classification	classification	NOUN
fcis-23856	106	12	interval	interval	NOUN
fcis-23856	106	13	is	be	AUX
fcis-23856	106	14	:	:	PUNCT
fcis-23856	106	15	2	2	NUM
fcis-23856	106	16	min	min	NOUN
fcis-23856	106	17	max	max	PROPN
fcis-23856	106	18	ji	ji	PROPN
fcis-23856	106	19	w	w	PROPN
fcis-23856	106	20	x	x	PUNCT
fcis-23856	106	21	bw	bw	PROPN
fcis-23856	106	22	x	x	SYM
fcis-23856	106	23	b	b	PROPN
fcis-23856	106	24	w	w	PROPN
fcis-23856	106	25	w	w	PROPN
fcis-23856	106	26	w	w	PROPN
fcis-23856	106	27			NUM
fcis-23856	106	28			X
fcis-23856	106	29			X
fcis-23856	106	30			PROPN
fcis-23856	106	31			PROPN
fcis-23856	106	32	(	(	PUNCT
fcis-23856	106	33	5	5	NUM
fcis-23856	106	34	)	)	PUNCT
fcis-23856	106	35	the	the	DET
fcis-23856	106	36	problem	problem	NOUN
fcis-23856	106	37	of	of	ADP
fcis-23856	106	38	solving	solve	VERB
fcis-23856	106	39	optimal	optimal	ADJ
fcis-23856	106	40	hyperplanes	hyperplane	NOUN
fcis-23856	106	41	can	can	AUX
fcis-23856	106	42	be	be	AUX
fcis-23856	106	43	transformed	transform	VERB
fcis-23856	106	44	into	into	ADP
fcis-23856	106	45	the	the	DET
fcis-23856	106	46	problem	problem	NOUN
fcis-23856	106	47	of	of	ADP
fcis-23856	106	48	constrained	constrain	VERB
fcis-23856	106	49	optimality	optimality	NOUN
fcis-23856	106	50	,	,	PUNCT
fcis-23856	106	51	which	which	PRON
fcis-23856	106	52	can	can	AUX
fcis-23856	106	53	be	be	AUX
fcis-23856	106	54	solved	solve	VERB
fcis-23856	106	55	by	by	ADP
fcis-23856	106	56	establishing	establish	VERB
fcis-23856	106	57	a	a	DET
fcis-23856	106	58	dual	dual	ADJ
fcis-23856	106	59	form	form	NOUN
fcis-23856	106	60	of	of	ADP
fcis-23856	106	61	lagrangian	lagrangian	ADJ
fcis-23856	106	62	:	:	PUNCT
fcis-23856	106	63	1	1	NUM
fcis-23856	106	64	1	1	NUM
fcis-23856	106	65	1	1	NUM
fcis-23856	106	66	,	,	PUNCT
fcis-23856	106	67	1	1	NUM
fcis-23856	106	68	1	1	NUM
fcis-23856	106	69	(	(	PUNCT
fcis-23856	106	70	)	)	PUNCT
fcis-23856	107	1	(	(	PUNCT
fcis-23856	107	2	)	)	PUNCT
fcis-23856	107	3	2	2	NUM
fcis-23856	107	4	ji	ji	INTJ
fcis-23856	108	1	i	i	INTJ
fcis-23856	108	2	j	j	VERB
fcis-23856	109	1	i	i	PRON
fcis-23856	109	2	i	i	INTJ
fcis-23856	110	1	ji	ji	INTJ
fcis-23856	111	1	i	i	INTJ
fcis-23856	111	2	j	j	PROPN
fcis-23856	112	1	w	w	NOUN
fcis-23856	112	2	a	a	PRON
fcis-23856	112	3	a	a	DET
fcis-23856	112	4	a	a	DET
fcis-23856	112	5	y	y	PROPN
fcis-23856	112	6	y	y	PROPN
fcis-23856	112	7	x	x	PROPN
fcis-23856	112	8	x	x	PROPN
fcis-23856	113	1			PROPN
fcis-23856	114	1			NUM
fcis-23856	114	2			PROPN
fcis-23856	114	3			PROPN
fcis-23856	114	4			X
fcis-23856	114	5			X
fcis-23856	114	6	(	(	PUNCT
fcis-23856	114	7	6	6	NUM
fcis-23856	114	8	)	)	PUNCT
fcis-23856	114	9	the	the	DET
fcis-23856	114	10	constraints	constraint	NOUN
fcis-23856	114	11	are	be	AUX
fcis-23856	114	12	:	:	PUNCT
fcis-23856	114	13			PROPN
fcis-23856	114	14			ADJ
fcis-23856	114	15	1	1	X
fcis-23856	114	16	0i	0i	VERB
fcis-23856	115	1	j	j	PROPN
fcis-23856	116	1	iw	iw	INTJ
fcis-23856	116	2	x	x	SYM
fcis-23856	116	3	b	b	X
fcis-23856	116	4	y	y	PROPN
fcis-23856	116	5			PROPN
fcis-23856	116	6			PROPN
fcis-23856	116	7			VERB
fcis-23856	116	8			PROPN
fcis-23856	116	9			PROPN
fcis-23856	116	10			PROPN
fcis-23856	116	11	(	(	PUNCT
fcis-23856	116	12	7	7	NUM
fcis-23856	116	13	)	)	PUNCT
fcis-23856	116	14	further	far	ADV
fcis-23856	116	15	,	,	PUNCT
fcis-23856	116	16	the	the	DET
fcis-23856	116	17	constraints	constraint	NOUN
fcis-23856	116	18	may	may	AUX
fcis-23856	116	19	be	be	AUX
fcis-23856	116	20	expressed	express	VERB
fcis-23856	116	21	as	as	SCONJ
fcis-23856	116	22	follows	follow	VERB
fcis-23856	116	23	:	:	PUNCT
fcis-23856	116	24			NOUN
fcis-23856	116	25			PROPN
fcis-23856	116	26	1	1	NUM
fcis-23856	116	27	,	,	PUNCT
fcis-23856	116	28	1	1	NUM
fcis-23856	116	29	,	,	PUNCT
fcis-23856	116	30	2	2	NUM
fcis-23856	116	31	,	,	PUNCT
fcis-23856	116	32	,	,	PUNCT
fcis-23856	116	33	0	0	PUNCT
fcis-23856	117	1	i	i	PRON
fcis-23856	117	2	i	i	PRON
fcis-23856	118	1	i	i	PRON
fcis-23856	119	1	i	i	VERB
fcis-23856	119	2	y	y	VERB
fcis-23856	119	3	w	w	VERB
fcis-23856	119	4	x	x	PROPN
fcis-23856	119	5	b	b	NOUN
fcis-23856	119	6	i	i	PRON
fcis-23856	119	7	l	l	NOUN
fcis-23856	119	8			NOUN
fcis-23856	119	9			X
fcis-23856	119	10			ADV
fcis-23856	119	11			PROPN
fcis-23856	119	12			PUNCT
fcis-23856	119	13			PRON
fcis-23856	119	14			NOUN
fcis-23856	119	15			NOUN
fcis-23856	119	16			VERB
fcis-23856	119	17			PROPN
fcis-23856	119	18			PROPN
fcis-23856	119	19			ADJ
fcis-23856	119	20			NOUN
fcis-23856	119	21	(	(	PUNCT
fcis-23856	119	22	8)	8)	NUM
fcis-23856	119	23	the	the	DET
fcis-23856	119	24	objective	objective	ADJ
fcis-23856	119	25	function	function	NOUN
fcis-23856	119	26	is	be	AUX
fcis-23856	119	27	:	:	PUNCT
fcis-23856	119	28	2	2	NUM
fcis-23856	119	29	1	1	NUM
fcis-23856	119	30	1	1	NUM
fcis-23856	119	31	(	(	PUNCT
fcis-23856	119	32	)	)	PUNCT
fcis-23856	119	33	2	2	NUM
fcis-23856	119	34	l	l	NOUN
fcis-23856	119	35	ii	ii	NOUN
fcis-23856	119	36	l	l	NOUN
fcis-23856	119	37	w	w	PROPN
fcis-23856	119	38	w	w	PROPN
fcis-23856	119	39	c	c	NOUN
fcis-23856	119	40			NOUN
fcis-23856	119	41			NUM
fcis-23856	119	42			PROPN
fcis-23856	119	43			ADJ
fcis-23856	119	44			X
fcis-23856	119	45	(	(	PUNCT
fcis-23856	119	46	9	9	NUM
fcis-23856	119	47	)	)	PUNCT
fcis-23856	119	48	is	be	AUX
fcis-23856	119	49	a	a	DET
fcis-23856	119	50	relaxation	relaxation	NOUN
fcis-23856	119	51	variable	variable	NOUN
fcis-23856	119	52	;	;	PUNCT
fcis-23856	119	53	is	be	AUX
fcis-23856	119	54	a	a	DET
fcis-23856	119	55	constant	constant	ADJ
fcis-23856	119	56	,	,	PUNCT
fcis-23856	119	57	and	and	CCONJ
fcis-23856	119	58	.	.	PUNCT
fcis-23856	120	1	it	it	PRON
fcis-23856	120	2	is	be	AUX
fcis-23856	120	3	mainly	mainly	ADV
fcis-23856	120	4	used	use	VERB
fcis-23856	120	5	to	to	PART
fcis-23856	120	6	balance	balance	VERB
fcis-23856	120	7	the	the	DET
fcis-23856	120	8	complexity	complexity	NOUN
fcis-23856	120	9	of	of	ADP
fcis-23856	120	10	the	the	DET
fcis-23856	120	11	machine	machine	NOUN
fcis-23856	120	12	and	and	CCONJ
fcis-23856	120	13	the	the	DET
fcis-23856	120	14	number	number	NOUN
fcis-23856	120	15	of	of	ADP
fcis-23856	120	16	non	non	ADJ
fcis-23856	120	17	-	-	ADJ
fcis-23856	120	18	separable	separable	ADJ
fcis-23856	120	19	points	point	NOUN
fcis-23856	120	20	and	and	CCONJ
fcis-23856	120	21	to	to	PART
fcis-23856	120	22	control	control	VERB
fcis-23856	120	23	the	the	DET
fcis-23856	120	24	penalty	penalty	NOUN
fcis-23856	120	25	degree	degree	NOUN
fcis-23856	120	26	of	of	ADP
fcis-23856	120	27	the	the	DET
fcis-23856	120	28	wrong	wrong	ADJ
fcis-23856	120	29	sample	sample	NOUN
fcis-23856	120	30	.	.	PUNCT
fcis-23856	121	1	in	in	ADP
fcis-23856	121	2	the	the	DET
fcis-23856	121	3	process	process	NOUN
fcis-23856	121	4	of	of	ADP
fcis-23856	121	5	constructing	construct	VERB
fcis-23856	121	6	svm	svm	ADJ
fcis-23856	121	7	classification	classification	NOUN
fcis-23856	121	8	model	model	NOUN
fcis-23856	121	9	,	,	PUNCT
fcis-23856	121	10	a	a	DET
fcis-23856	121	11	series	series	NOUN
fcis-23856	121	12	of	of	ADP
fcis-23856	121	13	key	key	ADJ
fcis-23856	121	14	steps	step	NOUN
fcis-23856	121	15	are	be	AUX
fcis-23856	121	16	followed	follow	VERB
fcis-23856	121	17	,	,	PUNCT
fcis-23856	121	18	these	these	DET
fcis-23856	121	19	steps	step	NOUN
fcis-23856	121	20	include	include	VERB
fcis-23856	121	21	the	the	DET
fcis-23856	121	22	design	design	NOUN
fcis-23856	121	23	of	of	ADP
fcis-23856	121	24	classifier	classifier	NOUN
fcis-23856	121	25	,	,	PUNCT
fcis-23856	121	26	the	the	DET
fcis-23856	121	27	selection	selection	NOUN
fcis-23856	121	28	of	of	ADP
fcis-23856	121	29	training	training	NOUN
fcis-23856	121	30	and	and	CCONJ
fcis-23856	121	31	verification	verification	NOUN
fcis-23856	121	32	samples	sample	NOUN
fcis-23856	121	33	,	,	PUNCT
fcis-23856	121	34	the	the	DET
fcis-23856	121	35	selection	selection	NOUN
fcis-23856	121	36	of	of	ADP
fcis-23856	121	37	kernel	kernel	PROPN
fcis-23856	121	38	functions	function	NOUN
fcis-23856	121	39	and	and	CCONJ
fcis-23856	121	40	parameters	parameter	NOUN
fcis-23856	121	41	,	,	PUNCT
fcis-23856	121	42	the	the	DET
fcis-23856	121	43	construction	construction	NOUN
fcis-23856	121	44	of	of	ADP
fcis-23856	121	45	training	training	NOUN
fcis-23856	121	46	model	model	NOUN
fcis-23856	121	47	and	and	CCONJ
fcis-23856	121	48	the	the	DET
fcis-23856	121	49	verification	verification	NOUN
fcis-23856	121	50	of	of	ADP
fcis-23856	121	51	model	model	NOUN
fcis-23856	121	52	.	.	PUNCT
fcis-23856	122	1	the	the	DET
fcis-23856	122	2	reasonable	reasonable	ADJ
fcis-23856	122	3	choice	choice	NOUN
fcis-23856	122	4	of	of	ADP
fcis-23856	122	5	kernel	kernel	PROPN
fcis-23856	122	6	function	function	PROPN
fcis-23856	122	7	and	and	CCONJ
fcis-23856	122	8	parameters	parameter	NOUN
fcis-23856	122	9	is	be	AUX
fcis-23856	122	10	the	the	DET
fcis-23856	122	11	key	key	NOUN
fcis-23856	122	12	to	to	ADP
fcis-23856	122	13	the	the	DET
fcis-23856	122	14	success	success	NOUN
fcis-23856	122	15	of	of	ADP
fcis-23856	122	16	the	the	DET
fcis-23856	122	17	model	model	NOUN
fcis-23856	122	18	.	.	PUNCT
fcis-23856	123	1	given	give	VERB
fcis-23856	123	2	the	the	DET
fcis-23856	123	3	distributed	distribute	VERB
fcis-23856	123	4	nature	nature	NOUN
fcis-23856	123	5	of	of	ADP
fcis-23856	123	6	the	the	DET
fcis-23856	123	7	data	datum	NOUN
fcis-23856	123	8	,	,	PUNCT
fcis-23856	123	9	it	it	PRON
fcis-23856	123	10	is	be	AUX
fcis-23856	123	11	important	important	ADJ
fcis-23856	123	12	to	to	PART
fcis-23856	123	13	choose	choose	VERB
fcis-23856	123	14	the	the	DET
fcis-23856	123	15	appropriate	appropriate	ADJ
fcis-23856	123	16	kernel	kernel	NOUN
fcis-23856	123	17	function	function	NOUN
fcis-23856	123	18	,	,	PUNCT
fcis-23856	123	19	because	because	SCONJ
fcis-23856	123	20	different	different	ADJ
fcis-23856	123	21	kernel	kernel	NOUN
fcis-23856	123	22	functions	function	NOUN
fcis-23856	123	23	are	be	AUX
fcis-23856	123	24	suitable	suitable	ADJ
fcis-23856	123	25	for	for	ADP
fcis-23856	123	26	different	different	ADJ
fcis-23856	123	27	scenarios	scenario	NOUN
fcis-23856	123	28	.	.	PUNCT
fcis-23856	124	1	the	the	DET
fcis-23856	124	2	widely	widely	ADV
fcis-23856	124	3	accepted	accept	VERB
fcis-23856	124	4	radial	radial	ADJ
fcis-23856	124	5	basis	basis	NOUN
fcis-23856	124	6	function	function	NOUN
fcis-23856	124	7	(	(	PUNCT
fcis-23856	124	8	rbf	rbf	PROPN
fcis-23856	124	9	)	)	PUNCT
fcis-23856	124	10	is	be	AUX
fcis-23856	124	11	used	use	VERB
fcis-23856	124	12	as	as	ADP
fcis-23856	124	13	kernel	kernel	NOUN
fcis-23856	124	14	function	function	NOUN
fcis-23856	124	15	in	in	ADP
fcis-23856	124	16	this	this	DET
fcis-23856	124	17	study	study	NOUN
fcis-23856	124	18	.	.	PUNCT
fcis-23856	125	1	in	in	ADP
fcis-23856	125	2	order	order	NOUN
fcis-23856	125	3	to	to	PART
fcis-23856	125	4	determine	determine	VERB
fcis-23856	125	5	the	the	DET
fcis-23856	125	6	optimal	optimal	ADJ
fcis-23856	125	7	combination	combination	NOUN
fcis-23856	125	8	of	of	ADP
fcis-23856	125	9	penalty	penalty	NOUN
fcis-23856	125	10	coefficient	coefficient	NOUN
fcis-23856	125	11	c	c	PROPN
fcis-23856	125	12	and	and	CCONJ
fcis-23856	125	13	parameter	parameter	PROPN
fcis-23856	125	14	γ	γ	PROPN
fcis-23856	125	15	of	of	ADP
fcis-23856	125	16	rbf	rbf	PROPN
fcis-23856	125	17	kernel	kernel	PROPN
fcis-23856	125	18	function	function	PROPN
fcis-23856	125	19	in	in	ADP
fcis-23856	125	20	svm	svm	PROPN
fcis-23856	125	21	classification	classification	NOUN
fcis-23856	125	22	model	model	NOUN
fcis-23856	125	23	,	,	PUNCT
fcis-23856	125	24	cross	cross	ADJ
fcis-23856	125	25	-	-	ADJ
fcis-23856	125	26	validation	validation	ADJ
fcis-23856	125	27	method	method	NOUN
fcis-23856	125	28	is	be	AUX
fcis-23856	125	29	used	use	VERB
fcis-23856	125	30	,	,	PUNCT
fcis-23856	125	31	and	and	CCONJ
fcis-23856	125	32	four	four	NUM
fcis-23856	125	33	-	-	ADJ
fcis-23856	125	34	fold	fold	ADJ
fcis-23856	125	35	cross	cross	NOUN
fcis-23856	125	36	-	-	NOUN
fcis-23856	125	37	validation	validation	ADJ
fcis-23856	125	38	(	(	PUNCT
fcis-23856	125	39	v	v	NOUN
fcis-23856	125	40	=	=	NOUN
fcis-23856	125	41	4	4	NUM
fcis-23856	125	42	)	)	PUNCT
fcis-23856	125	43	is	be	AUX
fcis-23856	125	44	chosen	choose	VERB
fcis-23856	125	45	to	to	PART
fcis-23856	125	46	solve	solve	VERB
fcis-23856	125	47	the	the	DET
fcis-23856	125	48	optimal	optimal	ADJ
fcis-23856	125	49	value	value	NOUN
fcis-23856	125	50	of	of	ADP
fcis-23856	125	51	c	c	PROPN
fcis-23856	125	52	and	and	CCONJ
fcis-23856	125	53	γ	γ	PROPN
fcis-23856	125	54	.	.	PUNCT
fcis-23856	126	1	this	this	DET
fcis-23856	126	2	method	method	NOUN
fcis-23856	126	3	ensures	ensure	VERB
fcis-23856	126	4	the	the	DET
fcis-23856	126	5	accurate	accurate	ADJ
fcis-23856	126	6	selection	selection	NOUN
fcis-23856	126	7	of	of	ADP
fcis-23856	126	8	model	model	NOUN
fcis-23856	126	9	parameters	parameter	NOUN
fcis-23856	126	10	and	and	CCONJ
fcis-23856	126	11	improves	improve	VERB
fcis-23856	126	12	the	the	DET
fcis-23856	126	13	classification	classification	NOUN
fcis-23856	126	14	performance	performance	NOUN
fcis-23856	126	15	of	of	ADP
fcis-23856	126	16	the	the	DET
fcis-23856	126	17	model	model	NOUN
fcis-23856	126	18	.	.	PUNCT
fcis-23856	127	1	4	4	X
fcis-23856	127	2	.	.	X
fcis-23856	127	3	experimental	experimental	ADJ
fcis-23856	127	4	results	result	NOUN
fcis-23856	127	5	classification	classification	NOUN
fcis-23856	127	6	model	model	NOUN
fcis-23856	127	7	evaluation	evaluation	NOUN
fcis-23856	127	8	is	be	AUX
fcis-23856	127	9	an	an	DET
fcis-23856	127	10	important	important	ADJ
fcis-23856	127	11	method	method	NOUN
fcis-23856	127	12	to	to	PART
fcis-23856	127	13	measure	measure	VERB
fcis-23856	127	14	the	the	DET
fcis-23856	127	15	performance	performance	NOUN
fcis-23856	127	16	of	of	ADP
fcis-23856	127	17	classification	classification	NOUN
fcis-23856	127	18	model	model	NOUN
fcis-23856	127	19	in	in	ADP
fcis-23856	127	20	machine	machine	NOUN
fcis-23856	127	21	learning	learning	NOUN
fcis-23856	127	22	.	.	PUNCT
fcis-23856	128	1	when	when	SCONJ
fcis-23856	128	2	there	there	PRON
fcis-23856	128	3	are	be	VERB
fcis-23856	128	4	many	many	ADJ
fcis-23856	128	5	kinds	kind	NOUN
fcis-23856	128	6	of	of	ADP
fcis-23856	128	7	algorithms	algorithm	NOUN
fcis-23856	128	8	and	and	CCONJ
fcis-23856	128	9	model	model	NOUN
fcis-23856	128	10	parameters	parameter	NOUN
fcis-23856	128	11	,	,	PUNCT
fcis-23856	128	12	it	it	PRON
fcis-23856	128	13	can	can	AUX
fcis-23856	128	14	help	help	VERB
fcis-23856	128	15	to	to	PART
fcis-23856	128	16	select	select	VERB
fcis-23856	128	17	the	the	DET
fcis-23856	128	18	most	most	ADV
fcis-23856	128	19	suitable	suitable	ADJ
fcis-23856	128	20	model	model	NOUN
fcis-23856	128	21	for	for	ADP
fcis-23856	128	22	water	water	NOUN
fcis-23856	128	23	quality	quality	NOUN
fcis-23856	128	24	classification	classification	NOUN
fcis-23856	128	25	by	by	ADP
fcis-23856	128	26	using	use	VERB
fcis-23856	128	27	different	different	ADJ
fcis-23856	128	28	evaluation	evaluation	NOUN
fcis-23856	128	29	indexes	index	NOUN
fcis-23856	128	30	,	,	PUNCT
fcis-23856	128	31	such	such	ADJ
fcis-23856	128	32	as	as	ADP
fcis-23856	128	33	accuracy	accuracy	NOUN
fcis-23856	128	34	,	,	PUNCT
fcis-23856	128	35	accuracy	accuracy	NOUN
fcis-23856	128	36	,	,	PUNCT
fcis-23856	128	37	recall	recall	NOUN
fcis-23856	128	38	,	,	PUNCT
fcis-23856	128	39	score	score	NOUN
fcis-23856	128	40	,	,	PUNCT
fcis-23856	128	41	etc	etc	X
fcis-23856	128	42	.	.	X
fcis-23856	128	43	recall	recall	PROPN
fcis-23856	128	44	ratio	ratio	PROPN
fcis-23856	128	45	:	:	PUNCT
fcis-23856	128	46	the	the	DET
fcis-23856	128	47	ratio	ratio	NOUN
fcis-23856	128	48	of	of	ADP
fcis-23856	128	49	correctly	correctly	ADV
fcis-23856	128	50	classified	classify	VERB
fcis-23856	128	51	positive	positive	ADJ
fcis-23856	128	52	cases	case	NOUN
fcis-23856	128	53	to	to	ADP
fcis-23856	128	54	actual	actual	ADJ
fcis-23856	128	55	positive	positive	ADJ
fcis-23856	128	56	cases	case	NOUN
fcis-23856	128	57	;	;	PUNCT
fcis-23856	128	58	precision	precision	NOUN
fcis-23856	128	59	ratio	ratio	NOUN
fcis-23856	128	60	can	can	AUX
fcis-23856	128	61	predict	predict	VERB
fcis-23856	128	62	the	the	DET
fcis-23856	128	63	result	result	NOUN
fcis-23856	128	64	,	,	PUNCT
fcis-23856	128	65	which	which	PRON
fcis-23856	128	66	is	be	AUX
fcis-23856	128	67	the	the	DET
fcis-23856	128	68	ratio	ratio	NOUN
fcis-23856	128	69	of	of	ADP
fcis-23856	128	70	correctly	correctly	ADV
fcis-23856	128	71	classified	classify	VERB
fcis-23856	128	72	positive	positive	ADJ
fcis-23856	128	73	cases	case	NOUN
fcis-23856	128	74	to	to	ADP
fcis-23856	128	75	actual	actual	ADJ
fcis-23856	128	76	positive	positive	ADJ
fcis-23856	128	77	cases	case	NOUN
fcis-23856	128	78	;	;	PUNCT
fcis-23856	128	79	values	value	NOUN
fcis-23856	128	80	are	be	AUX
fcis-23856	128	81	harmonic	harmonic	ADJ
fcis-23856	128	82	mean	mean	NOUN
fcis-23856	128	83	for	for	ADP
fcis-23856	128	84	accuracy	accuracy	NOUN
fcis-23856	128	85	and	and	CCONJ
fcis-23856	128	86	recall	recall	NOUN
fcis-23856	128	87	.	.	PUNCT
fcis-23856	129	1	tp	tp	PART
fcis-23856	129	2	pre	pre	VERB
fcis-23856	129	3	tp	tp	ADP
fcis-23856	129	4	fp	fp	PROPN
fcis-23856	129	5			PROPN
fcis-23856	129	6			X
fcis-23856	129	7	(	(	PUNCT
fcis-23856	129	8	10	10	NUM
fcis-23856	129	9	)	)	PUNCT
fcis-23856	129	10	tp	tp	ADP
fcis-23856	129	11	rec	rec	PROPN
fcis-23856	129	12	tp	tp	ADP
fcis-23856	129	13	fn	fn	PROPN
fcis-23856	129	14			PROPN
fcis-23856	129	15			PUNCT
fcis-23856	129	16	(	(	PUNCT
fcis-23856	129	17	11	11	NUM
fcis-23856	129	18	)	)	SYM
fcis-23856	129	19	1	1	NUM
fcis-23856	129	20	2	2	NUM
fcis-23856	129	21	pre	pre	NOUN
fcis-23856	129	22	rec	rec	PROPN
fcis-23856	129	23	f	f	PROPN
fcis-23856	129	24	pre	pre	X
fcis-23856	129	25	pec	pec	PROPN
fcis-23856	130	1			PROPN
fcis-23856	130	2			PROPN
fcis-23856	131	1			PROPN
fcis-23856	131	2			PUNCT
fcis-23856	131	3	(	(	PUNCT
fcis-23856	131	4	12	12	NUM
fcis-23856	131	5	)	)	PUNCT
fcis-23856	131	6	tp	tp	NOUN
fcis-23856	131	7	represents	represent	VERB
fcis-23856	131	8	positive	positive	ADJ
fcis-23856	131	9	samples	sample	NOUN
fcis-23856	131	10	predicted	predict	VERB
fcis-23856	131	11	by	by	ADP
fcis-23856	131	12	the	the	DET
fcis-23856	131	13	model	model	NOUN
fcis-23856	131	14	to	to	PART
fcis-23856	131	15	be	be	AUX
fcis-23856	131	16	positive	positive	ADJ
fcis-23856	131	17	,	,	PUNCT
fcis-23856	131	18	i.e.	i.e.	X
fcis-23856	131	19	,	,	PUNCT
fcis-23856	131	20	the	the	DET
fcis-23856	131	21	number	number	NOUN
fcis-23856	131	22	of	of	ADP
fcis-23856	131	23	levels	level	NOUN
fcis-23856	131	24	correctly	correctly	ADV
fcis-23856	131	25	identified	identify	VERB
fcis-23856	131	26	;	;	PUNCT
fcis-23856	131	27	fp	fp	X
fcis-23856	131	28	represents	represent	VERB
fcis-23856	131	29	negative	negative	ADJ
fcis-23856	131	30	samples	sample	NOUN
fcis-23856	131	31	predicted	predict	VERB
fcis-23856	131	32	by	by	ADP
fcis-23856	131	33	the	the	DET
fcis-23856	131	34	model	model	NOUN
fcis-23856	131	35	to	to	PART
fcis-23856	131	36	be	be	AUX
fcis-23856	131	37	positive	positive	ADJ
fcis-23856	131	38	,	,	PUNCT
fcis-23856	131	39	i.e.	i.e.	X
fcis-23856	131	40	,	,	PUNCT
fcis-23856	131	41	the	the	DET
fcis-23856	131	42	number	number	NOUN
fcis-23856	131	43	incorrectly	incorrectly	ADV
fcis-23856	131	44	identified	identify	VERB
fcis-23856	131	45	to	to	PART
fcis-23856	131	46	be	be	AUX
fcis-23856	131	47	of	of	ADP
fcis-23856	131	48	other	other	ADJ
fcis-23856	131	49	levels	level	NOUN
fcis-23856	131	50	;	;	PUNCT
fcis-23856	131	51	fn	fn	NOUN
fcis-23856	131	52	is	be	AUX
fcis-23856	131	53	predicted	predict	VERB
fcis-23856	131	54	by	by	ADP
fcis-23856	131	55	the	the	DET
fcis-23856	131	56	model	model	NOUN
fcis-23856	131	57	as	as	ADP
fcis-23856	131	58	a	a	DET
fcis-23856	131	59	negative	negative	ADJ
fcis-23856	131	60	positive	positive	ADJ
fcis-23856	131	61	sample	sample	NOUN
fcis-23856	131	62	,	,	PUNCT
fcis-23856	131	63	that	that	ADV
fcis-23856	131	64	is	is	ADV
fcis-23856	131	65	,	,	PUNCT
fcis-23856	131	66	incorrectly	incorrectly	ADV
fcis-23856	131	67	identified	identify	VERB
fcis-23856	131	68	as	as	ADP
fcis-23856	131	69	a	a	DET
fcis-23856	131	70	scaleless	scaleless	NOUN
fcis-23856	131	71	number	number	NOUN
fcis-23856	131	72	.	.	PUNCT
fcis-23856	132	1	the	the	DET
fcis-23856	132	2	data	datum	NOUN
fcis-23856	132	3	set	set	VERB
fcis-23856	132	4	of	of	ADP
fcis-23856	132	5	197	197	NUM
fcis-23856	132	6	pictures	picture	NOUN
fcis-23856	132	7	is	be	AUX
fcis-23856	132	8	divided	divide	VERB
fcis-23856	132	9	into	into	ADP
fcis-23856	132	10	training	training	NOUN
fcis-23856	132	11	set	set	NOUN
fcis-23856	132	12	and	and	CCONJ
fcis-23856	132	13	test	test	NOUN
fcis-23856	132	14	set	set	VERB
fcis-23856	132	15	,	,	PUNCT
fcis-23856	132	16	70	70	NUM
fcis-23856	132	17	%	%	NOUN
fcis-23856	132	18	of	of	ADP
fcis-23856	132	19	which	which	PRON
fcis-23856	132	20	is	be	AUX
fcis-23856	132	21	training	train	VERB
fcis-23856	132	22	set	set	VERB
fcis-23856	132	23	and	and	CCONJ
fcis-23856	132	24	30	30	NUM
fcis-23856	132	25	%	%	NOUN
fcis-23856	132	26	of	of	ADP
fcis-23856	132	27	which	which	PRON
fcis-23856	132	28	is	be	AUX
fcis-23856	132	29	test	test	NOUN
fcis-23856	132	30	set	set	VERB
fcis-23856	132	31	.	.	PUNCT
fcis-23856	133	1	test	test	NOUN
fcis-23856	133	2	results	result	NOUN
fcis-23856	133	3	of	of	ADP
fcis-23856	133	4	the	the	DET
fcis-23856	133	5	water	water	NOUN
fcis-23856	133	6	quality	quality	NOUN
fcis-23856	133	7	image	image	NOUN
fcis-23856	133	8	data	datum	NOUN
fcis-23856	133	9	in	in	ADP
fcis-23856	133	10	the	the	DET
fcis-23856	133	11	svm	svm	NOUN
fcis-23856	133	12	are	be	AUX
fcis-23856	133	13	shown	show	VERB
fcis-23856	133	14	in	in	ADP
fcis-23856	133	15	table	table	NOUN
fcis-23856	133	16	4	4	NUM
fcis-23856	133	17	below	below	ADV
fcis-23856	133	18	.	.	PUNCT
fcis-23856	134	1	table	table	NOUN
fcis-23856	134	2	4	4	NUM
fcis-23856	134	3	.	.	PUNCT
fcis-23856	135	1	svm	svm	PROPN
fcis-23856	135	2	model	model	NOUN
fcis-23856	135	3	classification	classification	NOUN
fcis-23856	135	4	water	water	NOUN
fcis-23856	135	5	quality	quality	NOUN
fcis-23856	135	6	grade	grade	NOUN
fcis-23856	135	7	accuracy/%	accuracy/%	ADV
fcis-23856	135	8	recall	recall	VERB
fcis-23856	135	9	rate/%	rate/%	PROPN
fcis-23856	135	10	f	f	PROPN
fcis-23856	135	11	1	1	NUM
fcis-23856	135	12	score/%	score/%	NOUN
fcis-23856	135	13	1	1	NUM
fcis-23856	135	14	100	100	NUM
fcis-23856	135	15	91	91	NUM
fcis-23856	135	16	95	95	NUM
fcis-23856	135	17	2	2	NUM
fcis-23856	135	18	95	95	NUM
fcis-23856	135	19	100	100	NUM
fcis-23856	135	20	97	97	NUM
fcis-23856	135	21	3	3	NUM
fcis-23856	135	22	90	90	NUM
fcis-23856	135	23	90	90	NUM
fcis-23856	135	24	90	90	NUM
fcis-23856	135	25	4	4	NUM
fcis-23856	135	26	90	90	NUM
fcis-23856	135	27	90	90	NUM
fcis-23856	135	28	90	90	NUM
fcis-23856	135	29	as	as	SCONJ
fcis-23856	135	30	can	can	AUX
fcis-23856	135	31	be	be	AUX
fcis-23856	135	32	seen	see	VERB
fcis-23856	135	33	from	from	ADP
fcis-23856	135	34	table	table	NOUN
fcis-23856	135	35	4	4	NUM
fcis-23856	135	36	,	,	PUNCT
fcis-23856	135	37	the	the	DET
fcis-23856	135	38	support	support	NOUN
fcis-23856	135	39	vector	vector	NOUN
fcis-23856	135	40	machine	machine	NOUN
fcis-23856	135	41	model	model	NOUN
fcis-23856	135	42	classification	classification	NOUN
fcis-23856	135	43	results	result	NOUN
fcis-23856	135	44	show	show	VERB
fcis-23856	135	45	that	that	SCONJ
fcis-23856	135	46	the	the	DET
fcis-23856	135	47	accuracy	accuracy	NOUN
fcis-23856	135	48	rate	rate	NOUN
fcis-23856	135	49	is	be	AUX
fcis-23856	135	50	above	above	ADP
fcis-23856	135	51	90	90	NUM
fcis-23856	135	52	%	%	NOUN
fcis-23856	135	53	,	,	PUNCT
fcis-23856	135	54	that	that	ADV
fcis-23856	135	55	is	is	ADV
fcis-23856	135	56	,	,	PUNCT
fcis-23856	135	57	the	the	DET
fcis-23856	135	58	probability	probability	NOUN
fcis-23856	135	59	of	of	ADP
fcis-23856	135	60	correct	correct	ADJ
fcis-23856	135	61	prediction	prediction	NOUN
fcis-23856	135	62	is	be	AUX
fcis-23856	135	63	90	90	NUM
fcis-23856	135	64	%	%	NOUN
fcis-23856	135	65	for	for	ADP
fcis-23856	135	66	all	all	DET
fcis-23856	135	67	predicted	predict	VERB
fcis-23856	135	68	samples	sample	NOUN
fcis-23856	135	69	,	,	PUNCT
fcis-23856	135	70	and	and	CCONJ
fcis-23856	135	71	the	the	DET
fcis-23856	135	72	accuracy	accuracy	NOUN
fcis-23856	135	73	rate	rate	NOUN
fcis-23856	135	74	is	be	AUX
fcis-23856	135	75	above	above	ADP
fcis-23856	135	76	90	90	NUM
fcis-23856	135	77	%	%	NOUN
fcis-23856	135	78	for	for	ADP
fcis-23856	135	79	all	all	DET
fcis-23856	135	80	predicted	predict	VERB
fcis-23856	135	81	samples	sample	NOUN
fcis-23856	135	82	,	,	PUNCT
fcis-23856	135	83	the	the	DET
fcis-23856	135	84	recall	recall	NOUN
fcis-23856	135	85	rate	rate	NOUN
fcis-23856	135	86	is	be	AUX
fcis-23856	135	87	more	more	ADJ
fcis-23856	135	88	than	than	ADP
fcis-23856	135	89	90	90	NUM
fcis-23856	135	90	%	%	NOUN
fcis-23856	135	91	,	,	PUNCT
fcis-23856	135	92	indicating	indicate	VERB
fcis-23856	135	93	the	the	DET
fcis-23856	135	94	proportion	proportion	NOUN
fcis-23856	135	95	of	of	ADP
fcis-23856	135	96	positive	positive	ADJ
fcis-23856	135	97	samples	sample	NOUN
fcis-23856	135	98	predicted	predict	VERB
fcis-23856	135	99	,	,	PUNCT
fcis-23856	135	100	which	which	PRON
fcis-23856	135	101	can	can	AUX
fcis-23856	135	102	be	be	AUX
fcis-23856	135	103	correctly	correctly	ADV
fcis-23856	135	104	predicted	predict	VERB
fcis-23856	135	105	.	.	PUNCT
fcis-23856	136	1	the	the	DET
fcis-23856	136	2	f	f	PROPN
fcis-23856	136	3	1	1	NUM
fcis-23856	136	4	value	value	NOUN
fcis-23856	136	5	is	be	AUX
fcis-23856	136	6	a	a	DET
fcis-23856	136	7	comprehensive	comprehensive	ADJ
fcis-23856	136	8	evaluation	evaluation	NOUN
fcis-23856	136	9	index	index	NOUN
fcis-23856	136	10	.	.	PUNCT
fcis-23856	137	1	figure	figure	NOUN
fcis-23856	137	2	3	3	NUM
fcis-23856	137	3	.	.	PUNCT
fcis-23856	138	1	the	the	DET
fcis-23856	138	2	learning	learn	VERB
fcis-23856	138	3	curve	curve	NOUN
fcis-23856	138	4	of	of	ADP
fcis-23856	138	5	svm	svm	PROPN
fcis-23856	138	6	furthermore	furthermore	ADV
fcis-23856	138	7	,	,	PUNCT
fcis-23856	138	8	in	in	ADP
fcis-23856	138	9	order	order	NOUN
fcis-23856	138	10	to	to	PART
fcis-23856	138	11	test	test	VERB
fcis-23856	138	12	the	the	DET
fcis-23856	138	13	performance	performance	NOUN
fcis-23856	138	14	of	of	ADP
fcis-23856	138	15	svm	svm	ADJ
fcis-23856	138	16	algorithm	algorithm	NOUN
fcis-23856	138	17	,	,	PUNCT
fcis-23856	138	18	the	the	DET
fcis-23856	138	19	water	water	NOUN
fcis-23856	138	20	quality	quality	NOUN
fcis-23856	138	21	level	level	NOUN
fcis-23856	138	22	is	be	AUX
fcis-23856	138	23	used	use	VERB
fcis-23856	138	24	as	as	ADP
fcis-23856	138	25	a	a	DET
fcis-23856	138	26	label	label	NOUN
fcis-23856	138	27	,	,	PUNCT
fcis-23856	138	28	and	and	CCONJ
fcis-23856	138	29	the	the	DET
fcis-23856	138	30	support	support	NOUN
fcis-23856	138	31	vector	vector	NOUN
fcis-23856	138	32	machine	machine	NOUN
fcis-23856	138	33	model	model	NOUN
fcis-23856	138	34	is	be	AUX
fcis-23856	138	35	trained	train	VERB
fcis-23856	138	36	to	to	PART
fcis-23856	138	37	ensure	ensure	VERB
fcis-23856	138	38	that	that	SCONJ
fcis-23856	138	39	sufficient	sufficient	ADJ
fcis-23856	138	40	data	datum	NOUN
fcis-23856	138	41	are	be	AUX
fcis-23856	138	42	available	available	ADJ
fcis-23856	138	43	for	for	ADP
fcis-23856	138	44	training	training	NOUN
fcis-23856	138	45	and	and	CCONJ
fcis-23856	138	46	testing	testing	NOUN
fcis-23856	138	47	at	at	ADP
fcis-23856	138	48	each	each	PRON
fcis-23856	138	49	ix	ix	PROPN
fcis-23856	138	50	w	w	PROPN
fcis-23856	138	51	b	b	PROPN
fcis-23856	139	1	iw	iw	INTJ
fcis-23856	139	2	x	x	INTJ
fcis-23856	140	1	w	w	NOUN
fcis-23856	140	2	ix	ix	ADP
fcis-23856	140	3			NOUN
fcis-23856	140	4	c	c	NOUN
fcis-23856	140	5	0c	0c	NOUN
fcis-23856	140	6			VERB
fcis-23856	140	7	37	37	NUM
fcis-23856	140	8	compromise	compromise	NOUN
fcis-23856	140	9	.	.	PUNCT
fcis-23856	141	1	therefore	therefore	ADV
fcis-23856	141	2	,	,	PUNCT
fcis-23856	141	3	the	the	DET
fcis-23856	141	4	average	average	ADJ
fcis-23856	141	5	accuracy	accuracy	NOUN
fcis-23856	141	6	of	of	ADP
fcis-23856	141	7	40	40	NUM
fcis-23856	141	8	%	%	NOUN
fcis-23856	141	9	crossvalidation	crossvalidation	NOUN
fcis-23856	141	10	of	of	ADP
fcis-23856	141	11	training	training	NOUN
fcis-23856	141	12	set	set	NOUN
fcis-23856	141	13	data	datum	NOUN
fcis-23856	141	14	can	can	AUX
fcis-23856	141	15	reach	reach	VERB
fcis-23856	141	16	98	98	NUM
fcis-23856	141	17	%	%	NOUN
fcis-23856	141	18	.	.	PUNCT
fcis-23856	142	1	the	the	DET
fcis-23856	142	2	learning	learning	NOUN
fcis-23856	142	3	curve	curve	NOUN
fcis-23856	142	4	was	be	AUX
fcis-23856	142	5	used	use	VERB
fcis-23856	142	6	to	to	PART
fcis-23856	142	7	visualize	visualize	VERB
fcis-23856	142	8	the	the	DET
fcis-23856	142	9	model	model	NOUN
fcis-23856	142	10	fit	fit	ADJ
fcis-23856	142	11	(	(	PUNCT
fcis-23856	142	12	figure	figure	NOUN
fcis-23856	142	13	3	3	NUM
fcis-23856	142	14	)	)	PUNCT
fcis-23856	142	15	.	.	PUNCT
fcis-23856	143	1	it	it	PRON
fcis-23856	143	2	can	can	AUX
fcis-23856	143	3	be	be	AUX
fcis-23856	143	4	found	find	VERB
fcis-23856	143	5	that	that	SCONJ
fcis-23856	143	6	the	the	DET
fcis-23856	143	7	accuracy	accuracy	NOUN
fcis-23856	143	8	of	of	ADP
fcis-23856	143	9	the	the	DET
fcis-23856	143	10	model	model	NOUN
fcis-23856	143	11	to	to	ADP
fcis-23856	143	12	the	the	DET
fcis-23856	143	13	training	training	NOUN
fcis-23856	143	14	data	datum	NOUN
fcis-23856	143	15	has	have	AUX
fcis-23856	143	16	been	be	AUX
fcis-23856	143	17	stable	stable	ADJ
fcis-23856	143	18	at	at	ADP
fcis-23856	143	19	100	100	NUM
fcis-23856	143	20	%	%	NOUN
fcis-23856	143	21	,	,	PUNCT
fcis-23856	143	22	and	and	CCONJ
fcis-23856	143	23	with	with	ADP
fcis-23856	143	24	the	the	DET
fcis-23856	143	25	continuous	continuous	ADJ
fcis-23856	143	26	input	input	NOUN
fcis-23856	143	27	of	of	ADP
fcis-23856	143	28	the	the	DET
fcis-23856	143	29	training	training	NOUN
fcis-23856	143	30	data	datum	NOUN
fcis-23856	143	31	,	,	PUNCT
fcis-23856	143	32	its	its	PRON
fcis-23856	143	33	prediction	prediction	NOUN
fcis-23856	143	34	accuracy	accuracy	NOUN
fcis-23856	143	35	for	for	ADP
fcis-23856	143	36	crossvalidation	crossvalidation	NOUN
fcis-23856	143	37	has	have	AUX
fcis-23856	143	38	been	be	AUX
fcis-23856	143	39	increasing	increase	VERB
fcis-23856	143	40	,	,	PUNCT
fcis-23856	143	41	finally	finally	ADV
fcis-23856	143	42	,	,	PUNCT
fcis-23856	143	43	the	the	DET
fcis-23856	143	44	convergence	convergence	NOUN
fcis-23856	143	45	state	state	NOUN
fcis-23856	143	46	of	of	ADP
fcis-23856	143	47	the	the	DET
fcis-23856	143	48	training	training	NOUN
fcis-23856	143	49	fitting	fitting	ADJ
fcis-23856	143	50	degree	degree	NOUN
fcis-23856	143	51	is	be	AUX
fcis-23856	143	52	reached	reach	VERB
fcis-23856	143	53	.	.	PUNCT
fcis-23856	144	1	as	as	ADP
fcis-23856	144	2	a	a	DET
fcis-23856	144	3	result	result	NOUN
fcis-23856	144	4	,	,	PUNCT
fcis-23856	144	5	the	the	DET
fcis-23856	144	6	support	support	NOUN
fcis-23856	144	7	vector	vector	NOUN
fcis-23856	144	8	machine	machine	NOUN
fcis-23856	144	9	model	model	NOUN
fcis-23856	144	10	can	can	AUX
fcis-23856	144	11	fit	fit	VERB
fcis-23856	144	12	the	the	DET
fcis-23856	144	13	water	water	NOUN
fcis-23856	144	14	quality	quality	NOUN
fcis-23856	144	15	data	datum	NOUN
fcis-23856	144	16	well	well	ADV
fcis-23856	144	17	and	and	CCONJ
fcis-23856	144	18	there	there	PRON
fcis-23856	144	19	is	be	VERB
fcis-23856	144	20	no	no	DET
fcis-23856	144	21	problem	problem	NOUN
fcis-23856	144	22	of	of	ADP
fcis-23856	144	23	underfitting	underfitting	NOUN
fcis-23856	144	24	or	or	CCONJ
fcis-23856	144	25	overfitting	overfitting	NOUN
fcis-23856	144	26	.	.	PUNCT
fcis-23856	145	1	5	5	X
fcis-23856	145	2	.	.	X
fcis-23856	145	3	conclusion	conclusion	NOUN
fcis-23856	145	4	in	in	ADP
fcis-23856	145	5	this	this	DET
fcis-23856	145	6	paper	paper	NOUN
fcis-23856	145	7	,	,	PUNCT
fcis-23856	145	8	we	we	PRON
fcis-23856	145	9	design	design	VERB
fcis-23856	145	10	a	a	DET
fcis-23856	145	11	computer	computer	NOUN
fcis-23856	145	12	vision	vision	NOUN
fcis-23856	145	13	-	-	PUNCT
fcis-23856	145	14	based	base	VERB
fcis-23856	145	15	image	image	NOUN
fcis-23856	145	16	analysis	analysis	NOUN
fcis-23856	145	17	method	method	NOUN
fcis-23856	145	18	of	of	ADP
fcis-23856	145	19	water	water	NOUN
fcis-23856	145	20	quality	quality	NOUN
fcis-23856	145	21	,	,	PUNCT
fcis-23856	145	22	combined	combine	VERB
fcis-23856	145	23	with	with	ADP
fcis-23856	145	24	the	the	DET
fcis-23856	145	25	actual	actual	ADJ
fcis-23856	145	26	water	water	NOUN
fcis-23856	145	27	quality	quality	NOUN
fcis-23856	145	28	samples	sample	NOUN
fcis-23856	145	29	,	,	PUNCT
fcis-23856	145	30	the	the	DET
fcis-23856	145	31	image	image	NOUN
fcis-23856	145	32	processing	processing	NOUN
fcis-23856	145	33	algorithm	algorithm	NOUN
fcis-23856	145	34	and	and	CCONJ
fcis-23856	145	35	data	datum	NOUN
fcis-23856	145	36	processing	processing	NOUN
fcis-23856	145	37	are	be	AUX
fcis-23856	145	38	programmed	program	VERB
fcis-23856	145	39	in	in	ADP
fcis-23856	145	40	python	python	NOUN
fcis-23856	145	41	language	language	NOUN
fcis-23856	145	42	.	.	PUNCT
fcis-23856	146	1	the	the	DET
fcis-23856	146	2	image	image	NOUN
fcis-23856	146	3	cutting	cut	VERB
fcis-23856	146	4	technology	technology	NOUN
fcis-23856	146	5	is	be	AUX
fcis-23856	146	6	used	use	VERB
fcis-23856	146	7	to	to	PART
fcis-23856	146	8	cut	cut	VERB
fcis-23856	146	9	the	the	DET
fcis-23856	146	10	image	image	NOUN
fcis-23856	146	11	,	,	PUNCT
fcis-23856	146	12	and	and	CCONJ
fcis-23856	146	13	the	the	DET
fcis-23856	146	14	image	image	NOUN
fcis-23856	146	15	processing	processing	NOUN
fcis-23856	146	16	algorithm	algorithm	NOUN
fcis-23856	146	17	is	be	AUX
fcis-23856	146	18	used	use	VERB
fcis-23856	146	19	to	to	PART
fcis-23856	146	20	extract	extract	VERB
fcis-23856	146	21	the	the	DET
fcis-23856	146	22	color	color	NOUN
fcis-23856	146	23	moments	moment	NOUN
fcis-23856	146	24	of	of	ADP
fcis-23856	146	25	water	water	NOUN
fcis-23856	146	26	samples	sample	NOUN
fcis-23856	146	27	and	and	CCONJ
fcis-23856	146	28	get	get	VERB
fcis-23856	146	29	the	the	DET
fcis-23856	146	30	data	datum	NOUN
fcis-23856	146	31	.	.	PUNCT
fcis-23856	147	1	the	the	DET
fcis-23856	147	2	experimental	experimental	ADJ
fcis-23856	147	3	results	result	NOUN
fcis-23856	147	4	show	show	VERB
fcis-23856	147	5	that	that	SCONJ
fcis-23856	147	6	the	the	DET
fcis-23856	147	7	accuracy	accuracy	NOUN
fcis-23856	147	8	of	of	ADP
fcis-23856	147	9	the	the	DET
fcis-23856	147	10	support	support	NOUN
fcis-23856	147	11	vector	vector	NOUN
fcis-23856	147	12	machine	machine	NOUN
fcis-23856	147	13	model	model	NOUN
fcis-23856	147	14	can	can	AUX
fcis-23856	147	15	reach	reach	VERB
fcis-23856	147	16	more	more	ADJ
fcis-23856	147	17	than	than	ADP
fcis-23856	147	18	90	90	NUM
fcis-23856	147	19	%	%	NOUN
fcis-23856	147	20	,	,	PUNCT
fcis-23856	147	21	and	and	CCONJ
fcis-23856	147	22	it	it	PRON
fcis-23856	147	23	is	be	AUX
fcis-23856	147	24	effective	effective	ADJ
fcis-23856	147	25	to	to	PART
fcis-23856	147	26	use	use	VERB
fcis-23856	147	27	machine	machine	NOUN
fcis-23856	147	28	learning	learn	VERB
fcis-23856	147	29	technology	technology	NOUN
fcis-23856	147	30	to	to	PART
fcis-23856	147	31	evaluate	evaluate	VERB
fcis-23856	147	32	the	the	DET
fcis-23856	147	33	water	water	NOUN
fcis-23856	147	34	quality	quality	NOUN
fcis-23856	147	35	of	of	ADP
fcis-23856	147	36	water	water	NOUN
fcis-23856	147	37	color	color	NOUN
fcis-23856	147	38	images	image	NOUN
fcis-23856	147	39	.	.	PUNCT
fcis-23856	148	1	through	through	ADP
fcis-23856	148	2	this	this	DET
fcis-23856	148	3	technology	technology	NOUN
fcis-23856	148	4	can	can	AUX
fcis-23856	148	5	avoid	avoid	VERB
fcis-23856	148	6	the	the	DET
fcis-23856	148	7	subjective	subjective	ADJ
fcis-23856	148	8	observation	observation	NOUN
fcis-23856	148	9	error	error	NOUN
fcis-23856	148	10	due	due	ADP
fcis-23856	148	11	to	to	ADP
fcis-23856	148	12	eye	eye	NOUN
fcis-23856	148	13	observation	observation	NOUN
fcis-23856	148	14	,	,	PUNCT
fcis-23856	148	15	and	and	CCONJ
fcis-23856	148	16	save	save	VERB
fcis-23856	148	17	a	a	DET
fcis-23856	148	18	lot	lot	NOUN
fcis-23856	148	19	of	of	ADP
fcis-23856	148	20	manpower	manpower	NOUN
fcis-23856	148	21	and	and	CCONJ
fcis-23856	148	22	material	material	NOUN
fcis-23856	148	23	resources	resource	NOUN
fcis-23856	148	24	,	,	PUNCT
fcis-23856	148	25	simple	simple	ADJ
fcis-23856	148	26	and	and	CCONJ
fcis-23856	148	27	practical	practical	ADJ
fcis-23856	148	28	easy	easy	ADJ
fcis-23856	148	29	to	to	PART
fcis-23856	148	30	promote	promote	VERB
fcis-23856	148	31	the	the	DET
fcis-23856	148	32	application	application	NOUN
fcis-23856	148	33	.	.	PUNCT
fcis-23856	149	1	references	reference	NOUN
fcis-23856	149	2	[	[	X
fcis-23856	149	3	1	1	NUM
fcis-23856	149	4	]	]	PUNCT
fcis-23856	149	5	wang	wang	PROPN
fcis-23856	149	6	haiyan	haiyan	PROPN
fcis-23856	149	7	,	,	PUNCT
fcis-23856	149	8	li	li	PROPN
fcis-23856	149	9	jianhui	jianhui	PROPN
fcis-23856	149	10	,	,	PUNCT
fcis-23856	149	11	yang	yang	PROPN
fcis-23856	149	12	fenglei	fenglei	PROPN
fcis-23856	149	13	.	.	PUNCT
fcis-23856	150	1	review	review	NOUN
fcis-23856	150	2	of	of	ADP
fcis-23856	150	3	support	support	NOUN
fcis-23856	150	4	vector	vector	NOUN
fcis-23856	150	5	machine	machine	NOUN
fcis-23856	150	6	theory	theory	NOUN
fcis-23856	150	7	and	and	CCONJ
fcis-23856	150	8	algorithms[j	algorithms[j	PROPN
fcis-23856	150	9	]	]	PUNCT
fcis-23856	150	10	.	.	PUNCT
fcis-23856	151	1	computer	computer	NOUN
fcis-23856	151	2	should	should	AUX
fcis-23856	151	3	research	research	VERB
fcis-23856	151	4	,	,	PUNCT
fcis-23856	151	5	2014,31(5	2014,31(5	NUM
fcis-23856	151	6	):	):	PUNCT
fcis-23856	151	7	1281	1281	NUM
fcis-23856	151	8	-	-	SYM
fcis-23856	151	9	1286	1286	NUM
fcis-23856	151	10	.	.	PUNCT
fcis-23856	152	1	[	[	X
fcis-23856	152	2	2	2	NUM
fcis-23856	152	3	]	]	X
fcis-23856	152	4	han	han	PROPN
fcis-23856	152	5	ding	ding	PROPN
fcis-23856	152	6	,	,	PUNCT
fcis-23856	152	7	wu	wu	PROPN
fcis-23856	152	8	pei	pei	PROPN
fcis-23856	152	9	,	,	PUNCT
fcis-23856	152	10	zhang	zhang	PROPN
fcis-23856	152	11	qiang	qiang	PROPN
fcis-23856	152	12	,	,	PUNCT
fcis-23856	152	13	etc	etc	X
fcis-23856	152	14	.	.	X
fcis-23856	152	15	feature	feature	NOUN
fcis-23856	152	16	extraction	extraction	NOUN
fcis-23856	152	17	and	and	CCONJ
fcis-23856	152	18	image	image	NOUN
fcis-23856	152	19	recognition	recognition	NOUN
fcis-23856	152	20	of	of	ADP
fcis-23856	152	21	typical	typical	ADJ
fcis-23856	152	22	grassland	grassland	NOUN
fcis-23856	152	23	pasture	pasture	NOUN
fcis-23856	152	24	based	base	VERB
fcis-23856	152	25	on	on	ADP
fcis-23856	152	26	color	color	PROPN
fcis-23856	152	27	moments[j	moments[j	PROPN
fcis-23856	152	28	]	]	PUNCT
fcis-23856	152	29	.	.	PUNCT
fcis-23856	153	1	agricultural	agricultural	ADJ
fcis-23856	153	2	engineering	engineering	NOUN
fcis-23856	153	3	,	,	PUNCT
fcis-23856	153	4	2016,32(23	2016,32(23	NOUN
fcis-23856	153	5	):	):	PUNCT
fcis-23856	153	6	168	168	NUM
fcis-23856	153	7	-	-	SYM
fcis-23856	153	8	175	175	NUM
fcis-23856	153	9	.	.	PUNCT
fcis-23856	154	1	[	[	X
fcis-23856	154	2	3	3	X
fcis-23856	154	3	]	]	X
fcis-23856	154	4	rita	rita	PROPN
fcis-23856	154	5	wong	wong	PROPN
fcis-23856	154	6	.	.	PUNCT
fcis-23856	155	1	a	a	DET
fcis-23856	155	2	feedforward	feedforward	ADJ
fcis-23856	155	3	neural	neural	ADJ
fcis-23856	155	4	network	network	NOUN
fcis-23856	155	5	predictive	predictive	PROPN
fcis-23856	155	6	classifier[j	classifier[j	PROPN
fcis-23856	155	7	]	]	PUNCT
fcis-23856	155	8	.	.	PUNCT
fcis-23856	156	1	world	world	NOUN
fcis-23856	156	2	of	of	ADP
fcis-23856	156	3	digital	digital	ADJ
fcis-23856	156	4	communications	communication	NOUN
fcis-23856	156	5	,	,	PUNCT
fcis-23856	156	6	2021	2021	NUM
fcis-23856	156	7	,	,	PUNCT
fcis-23856	156	8	(	(	PUNCT
fcis-23856	156	9	09	09	NUM
fcis-23856	156	10	):	):	SYM
fcis-23856	156	11	6769	6769	NUM
fcis-23856	156	12	+	+	SYM
fcis-23856	156	13	81	81	NUM
fcis-23856	156	14	.	.	PUNCT
fcis-23856	157	1	[	[	X
fcis-23856	157	2	4	4	NUM
fcis-23856	157	3	]	]	X
fcis-23856	157	4	peric	peric	PROPN
fcis-23856	157	5	lee	lee	PROPN
fcis-23856	157	6	,	,	PUNCT
fcis-23856	157	7	lau	lau	PROPN
fcis-23856	157	8	chi	chi	PROPN
fcis-23856	157	9	-	-	PUNCT
fcis-23856	157	10	fong	fong	PROPN
fcis-23856	157	11	,	,	PUNCT
fcis-23856	157	12	cheung	cheung	PROPN
fcis-23856	157	13	yuk	yuk	PROPN
fcis-23856	157	14	-	-	PUNCT
fcis-23856	157	15	fuk	fuk	PROPN
fcis-23856	157	16	.	.	PUNCT
fcis-23856	157	17	study	study	NOUN
fcis-23856	157	18	on	on	ADP
fcis-23856	157	19	water	water	NOUN
fcis-23856	157	20	quality	quality	NOUN
fcis-23856	157	21	evaluation	evaluation	NOUN
fcis-23856	157	22	method	method	NOUN
fcis-23856	157	23	based	base	VERB
fcis-23856	157	24	on	on	ADP
fcis-23856	157	25	machine	machine	NOUN
fcis-23856	157	26	learning	learn	VERB
fcis-23856	157	27	[	[	X
fcis-23856	157	28	j	j	X
fcis-23856	157	29	]	]	X
fcis-23856	157	30	.	.	PUNCT
fcis-23856	158	1	infocomm	infocomm	PROPN
fcis-23856	158	2	,	,	PUNCT
fcis-23856	158	3	2019	2019	NUM
fcis-23856	158	4	,	,	PUNCT
fcis-23856	158	5	(	(	PUNCT
fcis-23856	158	6	01	01	NUM
fcis-23856	158	7	):	):	PUNCT
fcis-23856	158	8	97	97	NUM
fcis-23856	158	9	-	-	SYM
fcis-23856	158	10	98	98	NUM
fcis-23856	158	11	.	.	PUNCT
fcis-23856	159	1	[	[	X
fcis-23856	159	2	5	5	NUM
fcis-23856	159	3	]	]	PUNCT
fcis-23856	159	4	du	du	PROPN
fcis-23856	159	5	yanqi	yanqi	PROPN
fcis-23856	159	6	.	.	PUNCT
fcis-23856	160	1	application	application	NOUN
fcis-23856	160	2	of	of	ADP
fcis-23856	160	3	python	python	NOUN
fcis-23856	160	4	image	image	NOUN
fcis-23856	160	5	processing	processing	NOUN
fcis-23856	160	6	technology	technology	NOUN
fcis-23856	160	7	in	in	ADP
fcis-23856	160	8	water	water	NOUN
fcis-23856	160	9	quality	quality	NOUN
fcis-23856	160	10	evaluation	evaluation	NOUN
fcis-23856	160	11	[	[	X
fcis-23856	160	12	j	j	X
fcis-23856	160	13	]	]	X
fcis-23856	160	14	.	.	PUNCT
fcis-23856	161	1	innovation	innovation	NOUN
fcis-23856	161	2	in	in	ADP
fcis-23856	161	3	science	science	NOUN
fcis-23856	161	4	and	and	CCONJ
fcis-23856	161	5	technology	technology	NOUN
fcis-23856	161	6	,	,	PUNCT
fcis-23856	161	7	2020	2020	NUM
fcis-23856	161	8	,	,	PUNCT
fcis-23856	161	9	(	(	PUNCT
fcis-23856	161	10	31	31	NUM
fcis-23856	161	11	):	):	PUNCT
fcis-23856	161	12	189	189	NUM
fcis-23856	161	13	-	-	SYM
fcis-23856	161	14	190	190	NUM
fcis-23856	161	15	.	.	PUNCT
fcis-23856	162	1	[	[	X
fcis-23856	162	2	6	6	NUM
fcis-23856	162	3	]	]	X
fcis-23856	162	4	wang	wang	PROPN
fcis-23856	162	5	qiwei	qiwei	PROPN
fcis-23856	162	6	.	.	PUNCT
fcis-23856	162	7	image	image	PROPN
fcis-23856	162	8	histogram	histogram	NOUN
fcis-23856	162	9	features	feature	NOUN
fcis-23856	162	10	and	and	CCONJ
fcis-23856	162	11	their	their	PRON
fcis-23856	162	12	applications	application	NOUN
fcis-23856	163	1	[	[	X
fcis-23856	163	2	d	d	X
fcis-23856	163	3	]	]	X
fcis-23856	163	4	.	.	PUNCT
fcis-23856	164	1	university	university	NOUN
fcis-23856	164	2	of	of	ADP
fcis-23856	164	3	science	science	NOUN
fcis-23856	164	4	and	and	CCONJ
fcis-23856	164	5	technology	technology	NOUN
fcis-23856	164	6	of	of	ADP
fcis-23856	164	7	china	china	PROPN
fcis-23856	164	8	,	,	PUNCT
fcis-23856	164	9	2014	2014	NUM
fcis-23856	164	10	.	.	PUNCT
fcis-23856	165	1	[	[	X
fcis-23856	165	2	7	7	X
fcis-23856	165	3	]	]	X
fcis-23856	165	4	zhou	zhou	PROPN
fcis-23856	165	5	yan	yan	PROPN
fcis-23856	165	6	,	,	PUNCT
fcis-23856	165	7	liu	liu	PROPN
fcis-23856	165	8	,	,	PUNCT
fcis-23856	165	9	zhou	zhou	PROPN
fcis-23856	165	10	can	can	AUX
fcis-23856	165	11	.	.	PUNCT
fcis-23856	166	1	surface	surface	NOUN
fcis-23856	166	2	water	water	NOUN
fcis-23856	166	3	quality	quality	NOUN
fcis-23856	166	4	assessment	assessment	NOUN
fcis-23856	166	5	based	base	VERB
fcis-23856	166	6	on	on	ADP
fcis-23856	166	7	decision	decision	NOUN
fcis-23856	166	8	tree	tree	NOUN
fcis-23856	166	9	support	support	NOUN
fcis-23856	166	10	vector	vector	NOUN
fcis-23856	166	11	machine[j	machine[j	PROPN
fcis-23856	166	12	]	]	PUNCT
fcis-23856	166	13	.	.	PUNCT
fcis-23856	167	1	environmental	environmental	ADJ
fcis-23856	167	2	science	science	NOUN
fcis-23856	167	3	and	and	CCONJ
fcis-23856	167	4	technology	technology	NOUN
fcis-23856	167	5	,	,	PUNCT
fcis-23856	167	6	2021,34(05	2021,34(05	NUM
fcis-23856	167	7	):	):	PUNCT
fcis-23856	167	8	57	57	NUM
fcis-23856	167	9	-	-	SYM
fcis-23856	167	10	61	61	NUM
fcis-23856	167	11	+	+	NUM
fcis-23856	167	12	66	66	NUM
fcis-23856	167	13	.	.	PUNCT
fcis-23856	168	1	[	[	X
fcis-23856	168	2	8	8	NUM
fcis-23856	168	3	]	]	X
fcis-23856	168	4	wang	wang	PROPN
fcis-23856	168	5	tianwang	tianwang	PROPN
fcis-23856	168	6	,	,	PUNCT
fcis-23856	168	7	jie	jie	PROPN
fcis-23856	168	8	liming	liming	NOUN
fcis-23856	168	9	,	,	PUNCT
fcis-23856	168	10	etc	etc	X
fcis-23856	168	11	.	.	X
fcis-23856	168	12	research	research	NOUN
fcis-23856	168	13	on	on	ADP
fcis-23856	168	14	tobacco	tobacco	NOUN
fcis-23856	168	15	color	color	NOUN
fcis-23856	168	16	classification	classification	NOUN
fcis-23856	168	17	method	method	NOUN
fcis-23856	168	18	based	base	VERB
fcis-23856	168	19	on	on	ADP
fcis-23856	168	20	improved	improved	ADJ
fcis-23856	168	21	robust	robust	ADJ
fcis-23856	168	22	multiclassification	multiclassification	NOUN
fcis-23856	168	23	svm	svm	NOUN
fcis-23856	168	24	[	[	X
fcis-23856	168	25	j	j	X
fcis-23856	168	26	]	]	X
fcis-23856	168	27	.	.	PUNCT
fcis-23856	169	1	electromechanical	electromechanical	ADJ
fcis-23856	169	2	information	information	NOUN
fcis-23856	169	3	,	,	PUNCT
fcis-23856	169	4	2021	2021	NUM
fcis-23856	169	5	,	,	PUNCT
fcis-23856	169	6	(	(	PUNCT
fcis-23856	169	7	05	05	NUM
fcis-23856	169	8	):	):	PUNCT
fcis-23856	169	9	55	55	NUM
fcis-23856	169	10	-	-	SYM
fcis-23856	169	11	60	60	NUM
fcis-23856	169	12	.	.	PUNCT
fcis-23856	170	1	[	[	X
fcis-23856	170	2	9	9	X
fcis-23856	170	3	]	]	X
fcis-23856	170	4	zeng	zeng	PROPN
fcis-23856	170	5	chuanhua	chuanhua	PROPN
fcis-23856	170	6	,	,	PUNCT
fcis-23856	170	7	chen	chen	PROPN
fcis-23856	170	8	hong	hong	PROPN
fcis-23856	170	9	,	,	PUNCT
fcis-23856	170	10	etc	etc	X
fcis-23856	170	11	.	.	X
fcis-23856	170	12	bamboo	bamboo	NOUN
fcis-23856	170	13	color	color	NOUN
fcis-23856	170	14	grading	grading	NOUN
fcis-23856	170	15	method	method	NOUN
fcis-23856	170	16	based	base	VERB
fcis-23856	170	17	on	on	ADP
fcis-23856	170	18	svm	svm	PROPN
fcis-23856	170	19	and	and	CCONJ
fcis-23856	170	20	color	color	NOUN
fcis-23856	170	21	moments[j	moments[j	PROPN
fcis-23856	170	22	]	]	PUNCT
fcis-23856	170	23	.	.	PUNCT
fcis-23856	171	1	hubei	hubei	PROPN
fcis-23856	171	2	agricultural	agricultural	ADJ
fcis-23856	171	3	science	science	PROPN
fcis-23856	171	4	,	,	PUNCT
fcis-23856	171	5	2010,49(02	2010,49(02	NUM
fcis-23856	171	6	):	):	PUNCT
fcis-23856	171	7	455	455	NUM
fcis-23856	171	8	-457	-457	PROPN
fcis-23856	171	9	.	.	PUNCT
fcis-23856	172	1	[	[	X
fcis-23856	172	2	10	10	NUM
fcis-23856	172	3	]	]	PUNCT
fcis-23856	172	4	he	he	PRON
fcis-23856	172	5	heng	heng	PROPN
fcis-23856	172	6	,	,	PUNCT
fcis-23856	172	7	song	song	NOUN
fcis-23856	172	8	die	die	PROPN
fcis-23856	172	9	,	,	PUNCT
fcis-23856	172	10	wang	wang	PROPN
fcis-23856	172	11	yi	yi	PROPN
fcis-23856	173	1	xu	xu	PROPN
fcis-23856	173	2	.	.	PUNCT
fcis-23856	174	1	construction	construction	NOUN
fcis-23856	174	2	of	of	ADP
fcis-23856	174	3	water	water	NOUN
fcis-23856	174	4	quality	quality	NOUN
fcis-23856	174	5	assessment	assessment	NOUN
fcis-23856	174	6	model	model	NOUN
fcis-23856	174	7	for	for	ADP
fcis-23856	174	8	huzhou	huzhou	NOUN
fcis-23856	174	9	and	and	CCONJ
fcis-23856	174	10	key	key	ADJ
fcis-23856	174	11	feature	feature	NOUN
fcis-23856	174	12	recognition	recognition	NOUN
fcis-23856	174	13	based	base	VERB
fcis-23856	174	14	on	on	ADP
fcis-23856	174	15	machine	machine	NOUN
fcis-23856	174	16	learning[j	learning[j	NOUN
fcis-23856	174	17	]	]	PUNCT
fcis-23856	174	18	.	.	PUNCT
fcis-23856	175	1	water	water	NOUN
fcis-23856	175	2	resources	resource	NOUN
fcis-23856	175	3	development	development	NOUN
fcis-23856	175	4	and	and	CCONJ
fcis-23856	175	5	management	management	NOUN
fcis-23856	175	6	,	,	PUNCT
fcis-23856	175	7	2023,9(01	2023,9(01	NUM
fcis-23856	175	8	):	):	PUNCT
fcis-23856	175	9	57	57	NUM
fcis-23856	175	10	-	-	SYM
fcis-23856	175	11	64	64	NUM
fcis-23856	175	12	.	.	PUNCT