id	sid	tid	token	lemma	pos
esrj-41988	1	1	palabras	palabras	PROPN
esrj-41988	1	2	clave	clave	PROPN
esrj-41988	1	3	:	:	PUNCT
esrj-41988	1	4	basurero	basurero	NOUN
esrj-41988	1	5	municipal	municipal	NOUN
esrj-41988	1	6	;	;	PUNCT
esrj-41988	1	7	índice	índice	PROPN
esrj-41988	1	8	de	de	X
esrj-41988	1	9	compresion	compresion	PROPN
esrj-41988	1	10	;	;	PUNCT
esrj-41988	1	11	propiedades	propiedades	PROPN
esrj-41988	1	12	físicas	físicas	PROPN
esrj-41988	1	13	;	;	PUNCT
esrj-41988	1	14	modelo	modelo	PROPN
esrj-41988	1	15	anfis	anfis	PROPN
esrj-41988	1	16	;	;	PUNCT
esrj-41988	1	17	modelo	modelo	PROPN
esrj-41988	1	18	ann	ann	PROPN
esrj-41988	1	19	;	;	PUNCT
esrj-41988	1	20	estándar	estándar	PROPN
esrj-41988	1	21	estadístico	estadístico	PROPN
esrj-41988	1	22	.	.	PUNCT
esrj-41988	2	1	key	key	ADJ
esrj-41988	2	2	words	word	NOUN
esrj-41988	2	3	:	:	PUNCT
esrj-41988	2	4	municipal	municipal	ADJ
esrj-41988	2	5	solid	solid	ADJ
esrj-41988	2	6	waste	waste	NOUN
esrj-41988	2	7	,	,	PUNCT
esrj-41988	2	8	compression	compression	NOUN
esrj-41988	2	9	ratio	ratio	NOUN
esrj-41988	2	10	,	,	PUNCT
esrj-41988	2	11	physical	physical	ADJ
esrj-41988	2	12	properties	property	NOUN
esrj-41988	2	13	,	,	PUNCT
esrj-41988	2	14	anfis	anfi	VERB
esrj-41988	2	15	model	model	NOUN
esrj-41988	2	16	,	,	PUNCT
esrj-41988	2	17	ann	ann	PROPN
esrj-41988	2	18	model	model	NOUN
esrj-41988	2	19	,	,	PUNCT
esrj-41988	2	20	statistical	statistical	ADJ
esrj-41988	2	21	criteria	criterion	NOUN
esrj-41988	2	22	the	the	DET
esrj-41988	2	23	compression	compression	NOUN
esrj-41988	2	24	ratio	ratio	NOUN
esrj-41988	2	25	of	of	ADP
esrj-41988	2	26	municipal	municipal	ADJ
esrj-41988	2	27	solid	solid	ADJ
esrj-41988	2	28	waste	waste	NOUN
esrj-41988	2	29	(	(	PUNCT
esrj-41988	2	30	msw	msw	NOUN
esrj-41988	2	31	)	)	PUNCT
esrj-41988	2	32	is	be	AUX
esrj-41988	2	33	an	an	DET
esrj-41988	2	34	essential	essential	ADJ
esrj-41988	2	35	parameter	parameter	NOUN
esrj-41988	2	36	for	for	ADP
esrj-41988	2	37	evaluation	evaluation	NOUN
esrj-41988	2	38	of	of	ADP
esrj-41988	2	39	waste	waste	NOUN
esrj-41988	2	40	settlement	settlement	NOUN
esrj-41988	2	41	.	.	PUNCT
esrj-41988	3	1	since	since	SCONJ
esrj-41988	3	2	it	it	PRON
esrj-41988	3	3	is	be	AUX
esrj-41988	3	4	relatively	relatively	ADV
esrj-41988	3	5	time	time	NOUN
esrj-41988	3	6	-	-	PUNCT
esrj-41988	3	7	consuming	consume	VERB
esrj-41988	3	8	to	to	PART
esrj-41988	3	9	determine	determine	VERB
esrj-41988	3	10	compression	compression	NOUN
esrj-41988	3	11	ratio	ratio	NOUN
esrj-41988	3	12	from	from	ADP
esrj-41988	3	13	oedometer	oedometer	ADJ
esrj-41988	3	14	tests	test	NOUN
esrj-41988	3	15	and	and	CCONJ
esrj-41988	3	16	there	there	PRON
esrj-41988	3	17	exist	exist	VERB
esrj-41988	3	18	difficulties	difficulty	NOUN
esrj-41988	3	19	associated	associate	VERB
esrj-41988	3	20	with	with	ADP
esrj-41988	3	21	working	work	VERB
esrj-41988	3	22	on	on	ADP
esrj-41988	3	23	waste	waste	NOUN
esrj-41988	3	24	materials	material	NOUN
esrj-41988	3	25	,	,	PUNCT
esrj-41988	3	26	it	it	PRON
esrj-41988	3	27	will	will	AUX
esrj-41988	3	28	be	be	AUX
esrj-41988	3	29	useful	useful	ADJ
esrj-41988	3	30	to	to	PART
esrj-41988	3	31	develop	develop	VERB
esrj-41988	3	32	models	model	NOUN
esrj-41988	3	33	based	base	VERB
esrj-41988	3	34	on	on	ADP
esrj-41988	3	35	waste	waste	NOUN
esrj-41988	3	36	physical	physical	ADJ
esrj-41988	3	37	properties	property	NOUN
esrj-41988	3	38	.	.	PUNCT
esrj-41988	4	1	therefore	therefore	ADV
esrj-41988	4	2	,	,	PUNCT
esrj-41988	4	3	present	present	ADJ
esrj-41988	4	4	research	research	NOUN
esrj-41988	4	5	attempts	attempt	VERB
esrj-41988	4	6	to	to	PART
esrj-41988	4	7	develop	develop	VERB
esrj-41988	4	8	proper	proper	ADJ
esrj-41988	4	9	prediction	prediction	NOUN
esrj-41988	4	10	models	model	NOUN
esrj-41988	4	11	using	use	VERB
esrj-41988	4	12	anfis	anfis	PROPN
esrj-41988	4	13	and	and	CCONJ
esrj-41988	4	14	ann	ann	PROPN
esrj-41988	4	15	models	model	NOUN
esrj-41988	4	16	.	.	PUNCT
esrj-41988	5	1	the	the	DET
esrj-41988	5	2	compression	compression	NOUN
esrj-41988	5	3	ratio	ratio	NOUN
esrj-41988	5	4	was	be	AUX
esrj-41988	5	5	modeled	model	VERB
esrj-41988	5	6	as	as	ADP
esrj-41988	5	7	a	a	DET
esrj-41988	5	8	function	function	NOUN
esrj-41988	5	9	of	of	ADP
esrj-41988	5	10	the	the	DET
esrj-41988	5	11	physical	physical	ADJ
esrj-41988	5	12	properties	property	NOUN
esrj-41988	5	13	of	of	ADP
esrj-41988	5	14	waste	waste	NOUN
esrj-41988	5	15	including	include	VERB
esrj-41988	5	16	dry	dry	ADJ
esrj-41988	5	17	unit	unit	NOUN
esrj-41988	5	18	weight	weight	NOUN
esrj-41988	5	19	,	,	PUNCT
esrj-41988	5	20	water	water	NOUN
esrj-41988	5	21	content	content	NOUN
esrj-41988	5	22	,	,	PUNCT
esrj-41988	5	23	and	and	CCONJ
esrj-41988	5	24	biodegradable	biodegradable	ADJ
esrj-41988	5	25	organic	organic	ADJ
esrj-41988	5	26	content	content	NOUN
esrj-41988	5	27	.	.	PUNCT
esrj-41988	6	1	a	a	DET
esrj-41988	6	2	reliable	reliable	ADJ
esrj-41988	6	3	experimental	experimental	ADJ
esrj-41988	6	4	database	database	NOUN
esrj-41988	6	5	of	of	ADP
esrj-41988	6	6	oedometer	oedometer	ADJ
esrj-41988	6	7	tests	test	NOUN
esrj-41988	6	8	,	,	PUNCT
esrj-41988	6	9	taken	take	VERB
esrj-41988	6	10	from	from	ADP
esrj-41988	6	11	the	the	DET
esrj-41988	6	12	literature	literature	NOUN
esrj-41988	6	13	,	,	PUNCT
esrj-41988	6	14	was	be	AUX
esrj-41988	6	15	employed	employ	VERB
esrj-41988	6	16	to	to	PART
esrj-41988	6	17	train	train	VERB
esrj-41988	6	18	and	and	CCONJ
esrj-41988	6	19	test	test	VERB
esrj-41988	6	20	the	the	DET
esrj-41988	6	21	ann	ann	PROPN
esrj-41988	6	22	and	and	CCONJ
esrj-41988	6	23	anfis	anfis	PROPN
esrj-41988	6	24	models	model	NOUN
esrj-41988	6	25	.	.	PUNCT
esrj-41988	7	1	the	the	DET
esrj-41988	7	2	performance	performance	NOUN
esrj-41988	7	3	of	of	ADP
esrj-41988	7	4	the	the	DET
esrj-41988	7	5	developed	develop	VERB
esrj-41988	7	6	models	model	NOUN
esrj-41988	7	7	was	be	AUX
esrj-41988	7	8	investigated	investigate	VERB
esrj-41988	7	9	according	accord	VERB
esrj-41988	7	10	to	to	ADP
esrj-41988	7	11	different	different	ADJ
esrj-41988	7	12	statistical	statistical	ADJ
esrj-41988	7	13	criteria	criterion	NOUN
esrj-41988	7	14	(	(	PUNCT
esrj-41988	7	15	i.e.	i.e.	X
esrj-41988	7	16	correlation	correlation	NOUN
esrj-41988	7	17	coefficient	coefficient	NOUN
esrj-41988	7	18	,	,	PUNCT
esrj-41988	7	19	root	root	NOUN
esrj-41988	7	20	mean	mean	VERB
esrj-41988	7	21	squared	square	VERB
esrj-41988	7	22	error	error	NOUN
esrj-41988	7	23	,	,	PUNCT
esrj-41988	7	24	and	and	CCONJ
esrj-41988	7	25	mean	mean	VERB
esrj-41988	7	26	absolute	absolute	ADJ
esrj-41988	7	27	error	error	NOUN
esrj-41988	7	28	)	)	PUNCT
esrj-41988	7	29	recommended	recommend	VERB
esrj-41988	7	30	by	by	ADP
esrj-41988	7	31	researchers	researcher	NOUN
esrj-41988	7	32	.	.	PUNCT
esrj-41988	8	1	the	the	DET
esrj-41988	8	2	final	final	ADJ
esrj-41988	8	3	models	model	NOUN
esrj-41988	8	4	have	have	AUX
esrj-41988	8	5	demonstrated	demonstrate	VERB
esrj-41988	8	6	the	the	DET
esrj-41988	8	7	correlation	correlation	NOUN
esrj-41988	8	8	coefficients	coefficient	NOUN
esrj-41988	8	9	higher	high	ADJ
esrj-41988	8	10	than	than	ADP
esrj-41988	8	11	90	90	NUM
esrj-41988	8	12	%	%	NOUN
esrj-41988	8	13	and	and	CCONJ
esrj-41988	8	14	low	low	ADJ
esrj-41988	8	15	error	error	NOUN
esrj-41988	8	16	values	value	NOUN
esrj-41988	8	17	;	;	PUNCT
esrj-41988	8	18	so	so	CCONJ
esrj-41988	8	19	,	,	PUNCT
esrj-41988	8	20	they	they	PRON
esrj-41988	8	21	have	have	VERB
esrj-41988	8	22	capability	capability	NOUN
esrj-41988	8	23	for	for	ADP
esrj-41988	8	24	acceptable	acceptable	ADJ
esrj-41988	8	25	prediction	prediction	NOUN
esrj-41988	8	26	of	of	ADP
esrj-41988	8	27	municipal	municipal	ADJ
esrj-41988	8	28	solid	solid	ADJ
esrj-41988	8	29	waste	waste	NOUN
esrj-41988	8	30	compression	compression	NOUN
esrj-41988	8	31	ratio	ratio	NOUN
esrj-41988	8	32	.	.	PUNCT
esrj-41988	9	1	furthermore	furthermore	ADV
esrj-41988	9	2	,	,	PUNCT
esrj-41988	9	3	the	the	DET
esrj-41988	9	4	values	value	NOUN
esrj-41988	9	5	of	of	ADP
esrj-41988	9	6	performance	performance	NOUN
esrj-41988	9	7	measures	measure	NOUN
esrj-41988	9	8	obtained	obtain	VERB
esrj-41988	9	9	for	for	ADP
esrj-41988	9	10	ann	ann	PROPN
esrj-41988	9	11	and	and	CCONJ
esrj-41988	9	12	anfis	anfis	PROPN
esrj-41988	9	13	models	model	NOUN
esrj-41988	9	14	indicate	indicate	VERB
esrj-41988	9	15	that	that	SCONJ
esrj-41988	9	16	the	the	DET
esrj-41988	9	17	anfis	anfis	ADJ
esrj-41988	9	18	model	model	NOUN
esrj-41988	9	19	performs	perform	VERB
esrj-41988	9	20	better	well	ADJ
esrj-41988	9	21	than	than	ADP
esrj-41988	9	22	ann	ann	PROPN
esrj-41988	9	23	model	model	NOUN
esrj-41988	9	24	.	.	PUNCT
esrj-41988	10	1	el	el	PROPN
esrj-41988	10	2	índice	índice	PROPN
esrj-41988	10	3	de	de	PROPN
esrj-41988	10	4	compresión	compresión	PROPN
esrj-41988	10	5	de	de	X
esrj-41988	10	6	residuos	residuos	ADJ
esrj-41988	10	7	sólidos	sólido	NOUN
esrj-41988	10	8	es	es	X
esrj-41988	10	9	un	un	PROPN
esrj-41988	10	10	parámetro	parámetro	PROPN
esrj-41988	10	11	esencial	esencial	PROPN
esrj-41988	10	12	para	para	PROPN
esrj-41988	10	13	la	la	PROPN
esrj-41988	10	14	evaluación	evaluación	PROPN
esrj-41988	10	15	del	del	PROPN
esrj-41988	10	16	asentamiento	asentamiento	PROPN
esrj-41988	10	17	de	de	PROPN
esrj-41988	10	18	un	un	PROPN
esrj-41988	10	19	basurero	basurero	PROPN
esrj-41988	10	20	municipal	municipal	PROPN
esrj-41988	10	21	.	.	PUNCT
esrj-41988	11	1	debido	debido	PROPN
esrj-41988	11	2	al	al	PROPN
esrj-41988	11	3	desgaste	desgaste	PROPN
esrj-41988	11	4	de	de	X
esrj-41988	11	5	tiempo	tiempo	PROPN
esrj-41988	11	6	para	para	PROPN
esrj-41988	11	7	determinar	determinar	PROPN
esrj-41988	11	8	el	el	PROPN
esrj-41988	11	9	índice	índice	PROPN
esrj-41988	11	10	de	de	PROPN
esrj-41988	11	11	compresión	compresión	PROPN
esrj-41988	11	12	a	a	DET
esrj-41988	11	13	partir	partir	X
esrj-41988	11	14	de	de	X
esrj-41988	11	15	pruebas	pruebas	PROPN
esrj-41988	11	16	edométricas	edométricas	PROPN
esrj-41988	11	17	y	y	PROPN
esrj-41988	11	18	debido	debido	PROPN
esrj-41988	11	19	a	a	DET
esrj-41988	11	20	las	las	PROPN
esrj-41988	11	21	dificultades	dificultade	NOUN
esrj-41988	11	22	asociadas	asociadas	PROPN
esrj-41988	11	23	al	al	PROPN
esrj-41988	11	24	trabajo	trabajo	PROPN
esrj-41988	11	25	con	con	PROPN
esrj-41988	11	26	materiales	materiale	VERB
esrj-41988	11	27	desechados	desechado	NOUN
esrj-41988	11	28	es	es	X
esrj-41988	11	29	necesario	necesario	PROPN
esrj-41988	11	30	desarrollar	desarrollar	PROPN
esrj-41988	11	31	modelos	modelos	PROPN
esrj-41988	11	32	basados	basado	VERB
esrj-41988	11	33	en	en	PROPN
esrj-41988	11	34	las	las	PROPN
esrj-41988	11	35	propiedades	propiedades	PROPN
esrj-41988	11	36	físicas	físicas	PROPN
esrj-41988	11	37	de	de	X
esrj-41988	11	38	los	los	PROPN
esrj-41988	11	39	desechos	desechos	PROPN
esrj-41988	11	40	solidos	solido	NOUN
esrj-41988	11	41	.	.	PUNCT
esrj-41988	12	1	además	además	PROPN
esrj-41988	12	2	,	,	PUNCT
esrj-41988	12	3	la	la	PROPN
esrj-41988	12	4	presente	presente	PROPN
esrj-41988	12	5	investigación	investigación	PROPN
esrj-41988	12	6	pretende	pretende	PROPN
esrj-41988	12	7	desarrollar	desarrollar	PROPN
esrj-41988	12	8	modelos	modelos	PROPN
esrj-41988	12	9	de	de	PROPN
esrj-41988	12	10	predicción	predicción	PROPN
esrj-41988	12	11	apropiados	apropiado	NOUN
esrj-41988	12	12	a	a	PRON
esrj-41988	12	13	partir	partir	AUX
esrj-41988	12	14	de	de	X
esrj-41988	12	15	los	los	PROPN
esrj-41988	12	16	esquemas	esquemas	PROPN
esrj-41988	12	17	anfis	anfis	PROPN
esrj-41988	12	18	y	y	PROPN
esrj-41988	12	19	ann	ann	PROPN
esrj-41988	12	20	.	.	PUNCT
esrj-41988	13	1	el	el	PROPN
esrj-41988	13	2	índice	índice	PROPN
esrj-41988	13	3	de	de	PROPN
esrj-41988	13	4	comprensión	comprensión	PROPN
esrj-41988	13	5	se	se	PROPN
esrj-41988	13	6	modeló	modeló	PROPN
esrj-41988	13	7	como	como	PROPN
esrj-41988	13	8	una	una	PROPN
esrj-41988	13	9	función	función	PROPN
esrj-41988	13	10	de	de	PROPN
esrj-41988	13	11	propiedades	propiedades	PROPN
esrj-41988	13	12	físicas	físicas	PROPN
esrj-41988	13	13	de	de	X
esrj-41988	13	14	desechos	desechos	PROPN
esrj-41988	13	15	que	que	PROPN
esrj-41988	13	16	incluyen	incluyen	PROPN
esrj-41988	13	17	el	el	PROPN
esrj-41988	13	18	peso	peso	PROPN
esrj-41988	13	19	seco	seco	PROPN
esrj-41988	13	20	de	de	PROPN
esrj-41988	13	21	una	una	PROPN
esrj-41988	13	22	unidad	unidad	PROPN
esrj-41988	13	23	,	,	PUNCT
esrj-41988	13	24	el	el	PROPN
esrj-41988	13	25	contenido	contenido	PROPN
esrj-41988	13	26	de	de	X
esrj-41988	13	27	agua	agua	PROPN
esrj-41988	13	28	y	y	PROPN
esrj-41988	13	29	el	el	PROPN
esrj-41988	13	30	contenido	contenido	PROPN
esrj-41988	13	31	orgánico	orgánico	PROPN
esrj-41988	13	32	biodegradable	biodegradable	ADJ
esrj-41988	13	33	.	.	PUNCT
esrj-41988	14	1	de	de	PROPN
esrj-41988	14	2	la	la	PROPN
esrj-41988	14	3	literatura	literatura	PROPN
esrj-41988	14	4	se	se	X
esrj-41988	14	5	tomó	tomó	PROPN
esrj-41988	14	6	una	una	PROPN
esrj-41988	14	7	base	base	PROPN
esrj-41988	14	8	de	de	X
esrj-41988	14	9	datos	datos	PROPN
esrj-41988	14	10	confiable	confiable	PROPN
esrj-41988	14	11	de	de	PROPN
esrj-41988	14	12	pruebas	pruebas	PROPN
esrj-41988	14	13	edométricas	edométricas	PROPN
esrj-41988	14	14	experimentales	experimentale	VERB
esrj-41988	14	15	que	que	PROPN
esrj-41988	14	16	fue	fue	PROPN
esrj-41988	14	17	empleada	empleada	PROPN
esrj-41988	14	18	para	para	PROPN
esrj-41988	14	19	preparar	preparar	PROPN
esrj-41988	14	20	y	y	PROPN
esrj-41988	14	21	evaluar	evaluar	PROPN
esrj-41988	14	22	los	los	PROPN
esrj-41988	14	23	modelos	modelos	PROPN
esrj-41988	14	24	anfis	anfis	PROPN
esrj-41988	14	25	y	y	PROPN
esrj-41988	14	26	ann	ann	PROPN
esrj-41988	14	27	.	.	PUNCT
esrj-41988	15	1	el	el	PROPN
esrj-41988	15	2	desempeño	desempeño	PROPN
esrj-41988	15	3	de	de	X
esrj-41988	15	4	los	los	PROPN
esrj-41988	15	5	modelos	modelos	PROPN
esrj-41988	15	6	desarrollados	desarrollados	PROPN
esrj-41988	15	7	fue	fue	PROPN
esrj-41988	15	8	investigado	investigado	PROPN
esrj-41988	15	9	de	de	PROPN
esrj-41988	15	10	acuerdo	acuerdo	PROPN
esrj-41988	15	11	con	con	PROPN
esrj-41988	15	12	diferentes	diferentes	PROPN
esrj-41988	15	13	criterios	criterios	PROPN
esrj-41988	15	14	estadísticos	estadísticos	PROPN
esrj-41988	15	15	(	(	PUNCT
esrj-41988	15	16	por	por	NOUN
esrj-41988	15	17	ejemplo	ejemplo	PROPN
esrj-41988	15	18	,	,	PUNCT
esrj-41988	15	19	el	el	PROPN
esrj-41988	15	20	coeficiente	coeficiente	PROPN
esrj-41988	15	21	de	de	PROPN
esrj-41988	15	22	correlación	correlación	PROPN
esrj-41988	15	23	,	,	PUNCT
esrj-41988	15	24	el	el	PROPN
esrj-41988	15	25	error	error	PROPN
esrj-41988	15	26	cuadrático	cuadrático	NOUN
esrj-41988	15	27	medio	medio	PROPN
esrj-41988	15	28	y	y	PROPN
esrj-41988	15	29	el	el	PROPN
esrj-41988	15	30	error	error	PROPN
esrj-41988	15	31	medio	medio	PROPN
esrj-41988	15	32	absoluto	absoluto	NOUN
esrj-41988	15	33	)	)	PUNCT
esrj-41988	15	34	recomendados	recomendado	NOUN
esrj-41988	15	35	por	por	NOUN
esrj-41988	15	36	investigadores	investigadore	NOUN
esrj-41988	15	37	.	.	PUNCT
esrj-41988	16	1	los	los	PROPN
esrj-41988	16	2	modelos	modelos	PROPN
esrj-41988	16	3	finales	finales	PROPN
esrj-41988	16	4	han	han	PROPN
esrj-41988	16	5	demostrado	demostrado	PROPN
esrj-41988	16	6	coeficientes	coeficientes	PROPN
esrj-41988	16	7	de	de	PROPN
esrj-41988	16	8	correlación	correlación	PROPN
esrj-41988	16	9	mayores	mayores	PROPN
esrj-41988	16	10	al	al	PROPN
esrj-41988	16	11	90	90	NUM
esrj-41988	16	12	por	por	NOUN
esrj-41988	16	13	ciento	ciento	PROPN
esrj-41988	16	14	y	y	PROPN
esrj-41988	16	15	valores	valores	PROPN
esrj-41988	16	16	bajos	bajos	PROPN
esrj-41988	16	17	de	de	X
esrj-41988	16	18	error	error	PROPN
esrj-41988	16	19	.	.	PUNCT
esrj-41988	17	1	esto	esto	PROPN
esrj-41988	17	2	significa	significa	PROPN
esrj-41988	17	3	que	que	PROPN
esrj-41988	17	4	estos	estos	PROPN
esrj-41988	17	5	modelos	modelos	PROPN
esrj-41988	17	6	tienen	tienen	PROPN
esrj-41988	17	7	una	una	PROPN
esrj-41988	17	8	capacidad	capacidad	PROPN
esrj-41988	17	9	de	de	PROPN
esrj-41988	17	10	predicción	predicción	PROPN
esrj-41988	17	11	aceptable	aceptable	ADJ
esrj-41988	17	12	para	para	PROPN
esrj-41988	17	13	el	el	PROPN
esrj-41988	17	14	índice	índice	PROPN
esrj-41988	17	15	de	de	PROPN
esrj-41988	17	16	comprensión	comprensión	PROPN
esrj-41988	17	17	del	del	PROPN
esrj-41988	17	18	basurero	basurero	PROPN
esrj-41988	17	19	municipal	municipal	PROPN
esrj-41988	17	20	.	.	PUNCT
esrj-41988	18	1	además	además	PROPN
esrj-41988	18	2	,	,	PUNCT
esrj-41988	18	3	los	los	PROPN
esrj-41988	18	4	valores	valores	PROPN
esrj-41988	18	5	de	de	PROPN
esrj-41988	18	6	las	las	PROPN
esrj-41988	18	7	medidas	medidas	PROPN
esrj-41988	18	8	de	de	PROPN
esrj-41988	18	9	desempeño	desempeño	PROPN
esrj-41988	18	10	obtenidos	obtenido	NOUN
esrj-41988	18	11	para	para	PROPN
esrj-41988	18	12	los	los	PROPN
esrj-41988	18	13	modelos	modelos	PROPN
esrj-41988	18	14	anfis	anfi	VERB
esrj-41988	18	15	y	y	PROPN
esrj-41988	18	16	ann	ann	PROPN
esrj-41988	18	17	indican	indican	PROPN
esrj-41988	18	18	que	que	PROPN
esrj-41988	18	19	el	el	PROPN
esrj-41988	18	20	modelo	modelo	PROPN
esrj-41988	18	21	anfis	anfi	VERB
esrj-41988	18	22	tiene	tiene	PROPN
esrj-41988	18	23	una	una	PROPN
esrj-41988	18	24	mayor	mayor	NOUN
esrj-41988	18	25	asertividad	asertividad	PROPN
esrj-41988	18	26	que	que	PROPN
esrj-41988	18	27	el	el	PROPN
esrj-41988	18	28	modelo	modelo	PROPN
esrj-41988	19	1	ann	ann	PROPN
esrj-41988	19	2	.	.	PROPN
esrj-41988	19	3	earth	earth	PROPN
esrj-41988	19	4	sciences	sciences	PROPN
esrj-41988	19	5	research	research	PROPN
esrj-41988	19	6	journal	journal	PROPN
esrj-41988	19	7	eart	eart	PROPN
esrj-41988	19	8	sci	sci	PROPN
esrj-41988	19	9	.	.	PUNCT
esrj-41988	19	10	res	res	PROPN
esrj-41988	19	11	.	.	PUNCT
esrj-41988	20	1	j.	j.	PROPN
esrj-41988	20	2	vol	vol	PROPN
esrj-41988	20	3	.	.	PROPN
esrj-41988	21	1	18	18	NUM
esrj-41988	21	2	,	,	PUNCT
esrj-41988	21	3	no	no	INTJ
esrj-41988	21	4	.	.	NOUN
esrj-41988	21	5	2	2	NUM
esrj-41988	21	6	(	(	PUNCT
esrj-41988	21	7	december	december	PROPN
esrj-41988	21	8	,	,	PUNCT
esrj-41988	21	9	2014	2014	NUM
esrj-41988	21	10	):	):	PUNCT
esrj-41988	21	11	165	165	NUM
esrj-41988	21	12	171	171	NUM
esrj-41988	21	13	abstract	abstract	ADJ
esrj-41988	21	14	resumen	resuman	NOUN
esrj-41988	21	15	record	record	NOUN
esrj-41988	21	16	manuscript	manuscript	NOUN
esrj-41988	21	17	received	receive	VERB
esrj-41988	21	18	:	:	PUNCT
esrj-41988	21	19	10/02/2014	10/02/2014	NUM
esrj-41988	21	20	accepted	accept	VERB
esrj-41988	21	21	for	for	ADP
esrj-41988	21	22	publication	publication	NOUN
esrj-41988	21	23	:	:	PUNCT
esrj-41988	21	24	29/07/2014	29/07/2014	NUM
esrj-41988	21	25	geotechnics	geotechnic	NOUN
esrj-41988	21	26	compression	compression	VERB
esrj-41988	21	27	ratio	ratio	NOUN
esrj-41988	21	28	of	of	ADP
esrj-41988	21	29	municipal	municipal	ADJ
esrj-41988	21	30	solid	solid	ADJ
esrj-41988	21	31	waste	waste	NOUN
esrj-41988	21	32	simulation	simulation	NOUN
esrj-41988	21	33	using	use	VERB
esrj-41988	21	34	artificial	artificial	ADJ
esrj-41988	21	35	neural	neural	ADJ
esrj-41988	21	36	network	network	NOUN
esrj-41988	21	37	and	and	CCONJ
esrj-41988	21	38	adaptive	adaptive	ADJ
esrj-41988	21	39	neurofuzzy	neurofuzzy	ADJ
esrj-41988	21	40	system	system	PROPN
esrj-41988	21	41	maryam	maryam	PROPN
esrj-41988	21	42	mokhtari¹	mokhtari¹	PROPN
esrj-41988	21	43	*	*	PROPN
esrj-41988	21	44	,	,	PUNCT
esrj-41988	21	45	ali	ali	PROPN
esrj-41988	21	46	akbar	akbar	PROPN
esrj-41988	21	47	heshmati	heshmati	PROPN
esrj-41988	21	48	r¹	r¹	PROPN
esrj-41988	21	49	,	,	PUNCT
esrj-41988	21	50	nader	nader	PROPN
esrj-41988	21	51	shariatmadari¹	shariatmadari¹	PROPN
esrj-41988	21	52	¹	¹	PROPN
esrj-41988	21	53	school	school	NOUN
esrj-41988	21	54	of	of	ADP
esrj-41988	21	55	civil	civil	ADJ
esrj-41988	21	56	engineering	engineering	NOUN
esrj-41988	21	57	,	,	PUNCT
esrj-41988	21	58	iran	iran	PROPN
esrj-41988	21	59	university	university	PROPN
esrj-41988	21	60	of	of	ADP
esrj-41988	21	61	science	science	NOUN
esrj-41988	21	62	and	and	CCONJ
esrj-41988	21	63	technology	technology	NOUN
esrj-41988	21	64	(	(	PUNCT
esrj-41988	21	65	iust	iust	PROPN
esrj-41988	21	66	)	)	PUNCT
esrj-41988	21	67	,	,	PUNCT
esrj-41988	21	68	narmak	narmak	PROPN
esrj-41988	21	69	,	,	PUNCT
esrj-41988	21	70	tehran	tehran	PROPN
esrj-41988	21	71	16846	16846	NUM
esrj-41988	21	72	-	-	SYM
esrj-41988	21	73	13114	13114	NUM
esrj-41988	21	74	,	,	PUNCT
esrj-41988	21	75	iran	iran	PROPN
esrj-41988	21	76	,	,	PUNCT
esrj-41988	21	77	tel	tel	ADP
esrj-41988	21	78	:	:	PUNCT
esrj-41988	21	79	+98	+98	ADJ
esrj-41988	21	80	21	21	NUM
esrj-41988	21	81	77240565	77240565	NUM
esrj-41988	21	82	¹	¹	NUM
esrj-41988	21	83	school	school	NOUN
esrj-41988	21	84	of	of	ADP
esrj-41988	21	85	civil	civil	ADJ
esrj-41988	21	86	engineering	engineering	NOUN
esrj-41988	21	87	,	,	PUNCT
esrj-41988	21	88	iran	iran	PROPN
esrj-41988	21	89	university	university	PROPN
esrj-41988	21	90	of	of	ADP
esrj-41988	21	91	science	science	NOUN
esrj-41988	21	92	and	and	CCONJ
esrj-41988	21	93	technology	technology	NOUN
esrj-41988	21	94	(	(	PUNCT
esrj-41988	21	95	iust	iust	PROPN
esrj-41988	21	96	)	)	PUNCT
esrj-41988	21	97	,	,	PUNCT
esrj-41988	21	98	narmak	narmak	PROPN
esrj-41988	21	99	,	,	PUNCT
esrj-41988	21	100	tehran	tehran	PROPN
esrj-41988	21	101	16846	16846	NUM
esrj-41988	21	102	-	-	SYM
esrj-41988	21	103	13114	13114	NUM
esrj-41988	21	104	,	,	PUNCT
esrj-41988	21	105	iran	iran	PROPN
esrj-41988	21	106	,	,	PUNCT
esrj-41988	21	107	tel	tel	ADP
esrj-41988	21	108	:	:	PUNCT
esrj-41988	21	109	+98	+98	ADJ
esrj-41988	21	110	21	21	NUM
esrj-41988	21	111	77240565	77240565	NUM
esrj-41988	21	112	,	,	PUNCT
esrj-41988	21	113	corresponding	corresponding	ADJ
esrj-41988	21	114	author	author	NOUN
esrj-41988	21	115	:	:	PUNCT
esrj-41988	21	116	mokhtari_ma@iust.ac.ir	mokhtari_ma@iust.ac.ir	ADJ
esrj-41988	21	117	¹	¹	PROPN
esrj-41988	21	118	school	school	NOUN
esrj-41988	21	119	of	of	ADP
esrj-41988	21	120	civil	civil	ADJ
esrj-41988	21	121	engineering	engineering	NOUN
esrj-41988	21	122	,	,	PUNCT
esrj-41988	21	123	iran	iran	PROPN
esrj-41988	21	124	university	university	PROPN
esrj-41988	21	125	of	of	ADP
esrj-41988	21	126	science	science	NOUN
esrj-41988	21	127	and	and	CCONJ
esrj-41988	21	128	technology	technology	NOUN
esrj-41988	21	129	(	(	PUNCT
esrj-41988	21	130	iust	iust	PROPN
esrj-41988	21	131	)	)	PUNCT
esrj-41988	21	132	,	,	PUNCT
esrj-41988	21	133	narmak	narmak	PROPN
esrj-41988	21	134	,	,	PUNCT
esrj-41988	21	135	tehran	tehran	PROPN
esrj-41988	21	136	16846	16846	NUM
esrj-41988	21	137	-	-	SYM
esrj-41988	21	138	13114	13114	NUM
esrj-41988	21	139	,	,	PUNCT
esrj-41988	21	140	iran	iran	PROPN
esrj-41988	21	141	,	,	PUNCT
esrj-41988	21	142	tel	tel	ADP
esrj-41988	21	143	:	:	PUNCT
esrj-41988	21	144	+98	+98	ADJ
esrj-41988	21	145	21	21	NUM
esrj-41988	21	146	77240565	77240565	NUM
esrj-41988	21	147	issn	issn	PROPN
esrj-41988	21	148	1794	1794	NUM
esrj-41988	21	149	-	-	SYM
esrj-41988	21	150	6190	6190	NUM
esrj-41988	21	151	e	e	NOUN
esrj-41988	21	152	-	-	NOUN
esrj-41988	21	153	issn	issn	PROPN
esrj-41988	21	154	2339	2339	NUM
esrj-41988	21	155	-	-	SYM
esrj-41988	21	156	3459	3459	NUM
esrj-41988	21	157	http://dx.doi.org/10.15446/esrj.v18n2.41988	http://dx.doi.org/10.15446/esrj.v18n2.41988	NOUN
esrj-41988	21	158	http://dx.doi.org/10.15446/esrj.v18n2.41988	http://dx.doi.org/10.15446/esrj.v18n2.41988	NUM
esrj-41988	21	159	166	166	NUM
esrj-41988	21	160	ali	ali	NOUN
esrj-41988	21	161	akbar	akbar	NOUN
esrj-41988	21	162	heshmati	heshmati	PROPN
esrj-41988	21	163	r	r	PROPN
esrj-41988	21	164	,	,	PUNCT
esrj-41988	21	165	maryam	maryam	PROPN
esrj-41988	21	166	mokhtari	mokhtari	PROPN
esrj-41988	21	167	,	,	PUNCT
esrj-41988	21	168	nader	nader	NOUN
esrj-41988	22	1	shariatmadari	shariatmadari	PROPN
esrj-41988	22	2	introduction	introduction	NOUN
esrj-41988	22	3	settling	settle	VERB
esrj-41988	22	4	municipal	municipal	ADJ
esrj-41988	22	5	solid	solid	ADJ
esrj-41988	22	6	waste	waste	NOUN
esrj-41988	22	7	(	(	PUNCT
esrj-41988	22	8	msw	msw	NOUN
esrj-41988	22	9	)	)	PUNCT
esrj-41988	22	10	is	be	AUX
esrj-41988	22	11	a	a	DET
esrj-41988	22	12	significant	significant	ADJ
esrj-41988	22	13	issue	issue	NOUN
esrj-41988	22	14	considered	consider	VERB
esrj-41988	22	15	in	in	ADP
esrj-41988	22	16	geotechnical	geotechnical	ADJ
esrj-41988	22	17	design	design	NOUN
esrj-41988	22	18	of	of	ADP
esrj-41988	22	19	a	a	DET
esrj-41988	22	20	landfill	landfill	NOUN
esrj-41988	22	21	.	.	PUNCT
esrj-41988	23	1	waste	waste	PROPN
esrj-41988	23	2	settlement	settlement	PROPN
esrj-41988	23	3	influences	influence	VERB
esrj-41988	23	4	the	the	DET
esrj-41988	23	5	stability	stability	NOUN
esrj-41988	23	6	,	,	PUNCT
esrj-41988	23	7	deformation	deformation	NOUN
esrj-41988	23	8	,	,	PUNCT
esrj-41988	23	9	and	and	CCONJ
esrj-41988	23	10	structural	structural	ADJ
esrj-41988	23	11	performance	performance	NOUN
esrj-41988	23	12	of	of	ADP
esrj-41988	23	13	landfills	landfill	NOUN
esrj-41988	23	14	(	(	PUNCT
esrj-41988	23	15	chen	chen	PROPN
esrj-41988	23	16	et	et	PROPN
esrj-41988	23	17	al	al	PROPN
esrj-41988	23	18	.	.	PROPN
esrj-41988	23	19	,	,	PUNCT
esrj-41988	23	20	2010	2010	NUM
esrj-41988	23	21	)	)	PUNCT
esrj-41988	23	22	.	.	PUNCT
esrj-41988	24	1	the	the	DET
esrj-41988	24	2	settlement	settlement	NOUN
esrj-41988	24	3	of	of	ADP
esrj-41988	24	4	msw	msw	NOUN
esrj-41988	24	5	is	be	AUX
esrj-41988	24	6	composed	compose	VERB
esrj-41988	24	7	of	of	ADP
esrj-41988	24	8	three	three	NUM
esrj-41988	24	9	mechanisms	mechanism	NOUN
esrj-41988	24	10	:	:	PUNCT
esrj-41988	24	11	primary	primary	ADJ
esrj-41988	24	12	compression	compression	NOUN
esrj-41988	24	13	,	,	PUNCT
esrj-41988	24	14	mechanical	mechanical	ADJ
esrj-41988	24	15	creep	creep	NOUN
esrj-41988	24	16	,	,	PUNCT
esrj-41988	24	17	and	and	CCONJ
esrj-41988	24	18	bio	bio	NOUN
esrj-41988	24	19	-	-	NOUN
esrj-41988	24	20	compression	compression	NOUN
esrj-41988	24	21	(	(	PUNCT
esrj-41988	24	22	sowers	sower	NOUN
esrj-41988	24	23	,	,	PUNCT
esrj-41988	24	24	1973	1973	NUM
esrj-41988	24	25	;	;	PUNCT
esrj-41988	24	26	edgers	edger	NOUN
esrj-41988	24	27	et	et	NOUN
esrj-41988	24	28	al	al	PROPN
esrj-41988	24	29	.	.	PROPN
esrj-41988	24	30	,	,	PUNCT
esrj-41988	24	31	1992	1992	NUM
esrj-41988	24	32	;	;	PUNCT
esrj-41988	24	33	wall	wall	NOUN
esrj-41988	24	34	and	and	CCONJ
esrj-41988	24	35	zeiss	zeiss	PROPN
esrj-41988	24	36	,	,	PUNCT
esrj-41988	24	37	1995	1995	NUM
esrj-41988	24	38	;	;	PUNCT
esrj-41988	24	39	el	el	PROPN
esrj-41988	24	40	-	-	PROPN
esrj-41988	24	41	fadel	fadel	PROPN
esrj-41988	24	42	and	and	CCONJ
esrj-41988	24	43	khoury	khoury	PROPN
esrj-41988	24	44	,	,	PUNCT
esrj-41988	24	45	2000	2000	NUM
esrj-41988	24	46	;	;	PUNCT
esrj-41988	24	47	and	and	CCONJ
esrj-41988	24	48	bareither	bareither	PROPN
esrj-41988	24	49	et	et	PROPN
esrj-41988	24	50	al	al	PROPN
esrj-41988	24	51	.	.	PROPN
esrj-41988	24	52	,	,	PUNCT
esrj-41988	24	53	2011	2011	NUM
esrj-41988	24	54	)	)	PUNCT
esrj-41988	24	55	.	.	PUNCT
esrj-41988	25	1	primary	primary	ADJ
esrj-41988	25	2	compression	compression	NOUN
esrj-41988	25	3	occurs	occur	VERB
esrj-41988	25	4	quickly	quickly	ADV
esrj-41988	25	5	in	in	ADP
esrj-41988	25	6	response	response	NOUN
esrj-41988	25	7	to	to	ADP
esrj-41988	25	8	self	self	NOUN
esrj-41988	25	9	-	-	PUNCT
esrj-41988	25	10	weight	weight	NOUN
esrj-41988	25	11	and	and	CCONJ
esrj-41988	25	12	an	an	DET
esrj-41988	25	13	external	external	ADJ
esrj-41988	25	14	load	load	NOUN
esrj-41988	25	15	applied	apply	VERB
esrj-41988	25	16	to	to	ADP
esrj-41988	25	17	the	the	DET
esrj-41988	25	18	waste	waste	NOUN
esrj-41988	25	19	.	.	PUNCT
esrj-41988	26	1	secondary	secondary	ADJ
esrj-41988	26	2	compression	compression	NOUN
esrj-41988	26	3	(	(	PUNCT
esrj-41988	26	4	i.e.	i.e.	X
esrj-41988	26	5	mechanical	mechanical	ADJ
esrj-41988	26	6	creep	creep	NOUN
esrj-41988	26	7	)	)	PUNCT
esrj-41988	26	8	is	be	AUX
esrj-41988	26	9	due	due	ADJ
esrj-41988	26	10	to	to	ADP
esrj-41988	26	11	long	long	ADJ
esrj-41988	26	12	-	-	PUNCT
esrj-41988	26	13	term	term	NOUN
esrj-41988	26	14	slippages	slippage	NOUN
esrj-41988	26	15	,	,	PUNCT
esrj-41988	26	16	reorientation	reorientation	NOUN
esrj-41988	26	17	of	of	ADP
esrj-41988	26	18	particles	particle	NOUN
esrj-41988	26	19	,	,	PUNCT
esrj-41988	26	20	and	and	CCONJ
esrj-41988	26	21	delayed	delay	VERB
esrj-41988	26	22	compression	compression	NOUN
esrj-41988	26	23	of	of	ADP
esrj-41988	26	24	some	some	DET
esrj-41988	26	25	waste	waste	NOUN
esrj-41988	26	26	constituents	constituent	NOUN
esrj-41988	26	27	.	.	PUNCT
esrj-41988	27	1	bio	bio	NOUN
esrj-41988	27	2	-	-	NOUN
esrj-41988	27	3	compression	compression	NOUN
esrj-41988	27	4	is	be	AUX
esrj-41988	27	5	related	relate	VERB
esrj-41988	27	6	biochemical	biochemical	ADJ
esrj-41988	27	7	processes	process	NOUN
esrj-41988	27	8	associated	associate	VERB
esrj-41988	27	9	with	with	ADP
esrj-41988	27	10	the	the	DET
esrj-41988	27	11	decomposition	decomposition	NOUN
esrj-41988	27	12	of	of	ADP
esrj-41988	27	13	biological	biological	ADJ
esrj-41988	27	14	solids	solid	NOUN
esrj-41988	27	15	and	and	CCONJ
esrj-41988	27	16	gas	gas	NOUN
esrj-41988	27	17	generation	generation	NOUN
esrj-41988	27	18	.	.	PUNCT
esrj-41988	28	1	a	a	DET
esrj-41988	28	2	commonly	commonly	ADV
esrj-41988	28	3	used	use	VERB
esrj-41988	28	4	parameter	parameter	NOUN
esrj-41988	28	5	for	for	ADP
esrj-41988	28	6	predicting	predict	VERB
esrj-41988	28	7	the	the	DET
esrj-41988	28	8	primary	primary	ADJ
esrj-41988	28	9	compression	compression	NOUN
esrj-41988	28	10	strain	strain	NOUN
esrj-41988	28	11	in	in	ADP
esrj-41988	28	12	msw	msw	NOUN
esrj-41988	28	13	is	be	AUX
esrj-41988	28	14	the	the	DET
esrj-41988	28	15	compression	compression	NOUN
esrj-41988	28	16	ratio	ratio	NOUN
esrj-41988	28	17	(	(	PUNCT
esrj-41988	28	18	c’c	c’c	PROPN
esrj-41988	28	19	):	):	PUNCT
esrj-41988	28	20	(	(	PUNCT
esrj-41988	28	21	1	1	X
esrj-41988	28	22	)	)	PUNCT
esrj-41988	28	23	where	where	SCONJ
esrj-41988	28	24	εi	εi	NOUN
esrj-41988	28	25	is	be	AUX
esrj-41988	28	26	the	the	DET
esrj-41988	28	27	primary	primary	ADJ
esrj-41988	28	28	compression	compression	NOUN
esrj-41988	28	29	in	in	ADP
esrj-41988	28	30	msw	msw	NOUN
esrj-41988	28	31	,	,	PUNCT
esrj-41988	28	32	σ	σ	PROPN
esrj-41988	28	33	vo	vo	X
esrj-41988	28	34	'	'	PUNCT
esrj-41988	28	35	is	be	AUX
esrj-41988	28	36	the	the	DET
esrj-41988	28	37	existing	exist	VERB
esrj-41988	28	38	vertical	vertical	ADJ
esrj-41988	28	39	effective	effective	ADJ
esrj-41988	28	40	stress	stress	NOUN
esrj-41988	28	41	and	and	CCONJ
esrj-41988	28	42	δσ	δσ	PROPN
esrj-41988	28	43	v	v	NOUN
esrj-41988	28	44	'	'	PUNCT
esrj-41988	28	45	is	be	AUX
esrj-41988	28	46	the	the	DET
esrj-41988	28	47	change	change	NOUN
esrj-41988	28	48	in	in	ADP
esrj-41988	28	49	the	the	DET
esrj-41988	28	50	vertical	vertical	ADJ
esrj-41988	28	51	effective	effective	ADJ
esrj-41988	28	52	stress	stress	NOUN
esrj-41988	28	53	.	.	PUNCT
esrj-41988	29	1	the	the	DET
esrj-41988	29	2	compression	compression	NOUN
esrj-41988	29	3	ratio	ratio	NOUN
esrj-41988	29	4	represents	represent	VERB
esrj-41988	29	5	the	the	DET
esrj-41988	29	6	slope	slope	NOUN
esrj-41988	29	7	of	of	ADP
esrj-41988	29	8	the	the	DET
esrj-41988	29	9	curve	curve	NOUN
esrj-41988	29	10	of	of	ADP
esrj-41988	29	11	the	the	DET
esrj-41988	29	12	strain	strain	NOUN
esrj-41988	29	13	versus	versus	ADP
esrj-41988	29	14	the	the	DET
esrj-41988	29	15	logarithm	logarithm	NOUN
esrj-41988	29	16	of	of	ADP
esrj-41988	29	17	the	the	DET
esrj-41988	29	18	effective	effective	ADJ
esrj-41988	29	19	pressure	pressure	NOUN
esrj-41988	29	20	.	.	PUNCT
esrj-41988	30	1	it	it	PRON
esrj-41988	30	2	is	be	AUX
esrj-41988	30	3	conventionally	conventionally	ADV
esrj-41988	30	4	determined	determine	VERB
esrj-41988	30	5	through	through	ADP
esrj-41988	30	6	an	an	DET
esrj-41988	30	7	oedometer	oedometer	ADJ
esrj-41988	30	8	test	test	NOUN
esrj-41988	30	9	and	and	CCONJ
esrj-41988	30	10	is	be	AUX
esrj-41988	30	11	related	relate	VERB
esrj-41988	30	12	to	to	ADP
esrj-41988	30	13	the	the	DET
esrj-41988	30	14	compression	compression	NOUN
esrj-41988	30	15	index	index	NOUN
esrj-41988	30	16	(	(	PUNCT
esrj-41988	30	17	cc	cc	NOUN
esrj-41988	30	18	)	)	PUNCT
esrj-41988	30	19	,	,	PUNCT
esrj-41988	30	20	which	which	PRON
esrj-41988	30	21	is	be	AUX
esrj-41988	30	22	commonly	commonly	ADV
esrj-41988	30	23	applied	apply	VERB
esrj-41988	30	24	for	for	ADP
esrj-41988	30	25	soils	soil	NOUN
esrj-41988	30	26	by	by	ADP
esrj-41988	30	27	the	the	DET
esrj-41988	30	28	equation	equation	NOUN
esrj-41988	30	29	c	c	NOUN
esrj-41988	30	30	'	'	NOUN
esrj-41988	30	31	c	c	X
esrj-41988	30	32	=	=	SYM
esrj-41988	30	33	cc	cc	PROPN
esrj-41988	30	34	1	1	NUM
esrj-41988	30	35	+	+	NUM
esrj-41988	30	36	e0	e0	PROPN
esrj-41988	30	37	,	,	PUNCT
esrj-41988	30	38	where	where	SCONJ
esrj-41988	30	39	e0	e0	PROPN
esrj-41988	30	40	=	=	PUNCT
esrj-41988	30	41	initial	initial	ADJ
esrj-41988	30	42	void	void	ADJ
esrj-41988	30	43	ratio	ratio	NOUN
esrj-41988	30	44	.	.	PUNCT
esrj-41988	31	1	considering	consider	VERB
esrj-41988	31	2	some	some	DET
esrj-41988	31	3	difficulties	difficulty	NOUN
esrj-41988	31	4	in	in	ADP
esrj-41988	31	5	calculating	calculate	VERB
esrj-41988	31	6	the	the	DET
esrj-41988	31	7	initial	initial	ADJ
esrj-41988	31	8	void	void	ADJ
esrj-41988	31	9	ratio	ratio	NOUN
esrj-41988	31	10	of	of	ADP
esrj-41988	31	11	the	the	DET
esrj-41988	31	12	waste	waste	NOUN
esrj-41988	31	13	materials	material	NOUN
esrj-41988	31	14	,	,	PUNCT
esrj-41988	31	15	it	it	PRON
esrj-41988	31	16	is	be	AUX
esrj-41988	31	17	usually	usually	ADV
esrj-41988	31	18	preferred	preferred	ADJ
esrj-41988	31	19	to	to	PART
esrj-41988	31	20	use	use	VERB
esrj-41988	31	21	the	the	DET
esrj-41988	31	22	compression	compression	NOUN
esrj-41988	31	23	ratio	ratio	NOUN
esrj-41988	31	24	instead	instead	ADV
esrj-41988	31	25	of	of	ADP
esrj-41988	31	26	the	the	DET
esrj-41988	31	27	compression	compression	NOUN
esrj-41988	31	28	index	index	NOUN
esrj-41988	31	29	.	.	PUNCT
esrj-41988	32	1	there	there	PRON
esrj-41988	32	2	have	have	AUX
esrj-41988	32	3	been	be	AUX
esrj-41988	32	4	several	several	ADJ
esrj-41988	32	5	studies	study	NOUN
esrj-41988	32	6	investigating	investigate	VERB
esrj-41988	32	7	the	the	DET
esrj-41988	32	8	effect	effect	NOUN
esrj-41988	32	9	of	of	ADP
esrj-41988	32	10	various	various	ADJ
esrj-41988	32	11	parameters	parameter	NOUN
esrj-41988	32	12	on	on	ADP
esrj-41988	32	13	waste	waste	NOUN
esrj-41988	32	14	compressibility	compressibility	NOUN
esrj-41988	32	15	.	.	PUNCT
esrj-41988	33	1	chen	chen	PROPN
esrj-41988	33	2	et	et	PROPN
esrj-41988	33	3	al	al	PROPN
esrj-41988	33	4	.	.	PROPN
esrj-41988	33	5	(	(	PUNCT
esrj-41988	33	6	2010	2010	NUM
esrj-41988	33	7	)	)	PUNCT
esrj-41988	33	8	and	and	CCONJ
esrj-41988	33	9	landva	landva	VERB
esrj-41988	33	10	et	et	PROPN
esrj-41988	33	11	al	al	PROPN
esrj-41988	33	12	.	.	PROPN
esrj-41988	34	1	(	(	PUNCT
esrj-41988	34	2	2000	2000	NUM
esrj-41988	34	3	)	)	PUNCT
esrj-41988	34	4	examined	examine	VERB
esrj-41988	34	5	waste	waste	NOUN
esrj-41988	34	6	samples	sample	NOUN
esrj-41988	34	7	with	with	ADP
esrj-41988	34	8	different	different	ADJ
esrj-41988	34	9	initial	initial	ADJ
esrj-41988	34	10	densities	density	NOUN
esrj-41988	34	11	.	.	PUNCT
esrj-41988	35	1	their	their	PRON
esrj-41988	35	2	results	result	NOUN
esrj-41988	35	3	demonstrate	demonstrate	VERB
esrj-41988	35	4	that	that	SCONJ
esrj-41988	35	5	an	an	DET
esrj-41988	35	6	increase	increase	NOUN
esrj-41988	35	7	in	in	ADP
esrj-41988	35	8	the	the	DET
esrj-41988	35	9	waste	waste	NOUN
esrj-41988	35	10	density	density	NOUN
esrj-41988	35	11	reduces	reduce	VERB
esrj-41988	35	12	the	the	DET
esrj-41988	35	13	c’c	c’c	NOUN
esrj-41988	35	14	.	.	PUNCT
esrj-41988	36	1	experimental	experimental	ADJ
esrj-41988	36	2	works	work	NOUN
esrj-41988	36	3	conducted	conduct	VERB
esrj-41988	36	4	by	by	ADP
esrj-41988	36	5	sowers	sower	NOUN
esrj-41988	36	6	(	(	PUNCT
esrj-41988	36	7	1973	1973	NUM
esrj-41988	36	8	)	)	PUNCT
esrj-41988	36	9	,	,	PUNCT
esrj-41988	36	10	swati	swati	PROPN
esrj-41988	36	11	and	and	CCONJ
esrj-41988	36	12	joseph	joseph	PROPN
esrj-41988	36	13	(	(	PUNCT
esrj-41988	36	14	2008	2008	NUM
esrj-41988	36	15	)	)	PUNCT
esrj-41988	36	16	,	,	PUNCT
esrj-41988	36	17	and	and	CCONJ
esrj-41988	36	18	chen	chen	PROPN
esrj-41988	36	19	et	et	PROPN
esrj-41988	36	20	al	al	PROPN
esrj-41988	36	21	.	.	PROPN
esrj-41988	37	1	(	(	PUNCT
esrj-41988	37	2	2009	2009	NUM
esrj-41988	37	3	)	)	PUNCT
esrj-41988	37	4	on	on	ADP
esrj-41988	37	5	waste	waste	NOUN
esrj-41988	37	6	settlement	settlement	NOUN
esrj-41988	37	7	revealed	reveal	VERB
esrj-41988	37	8	an	an	DET
esrj-41988	37	9	increase	increase	NOUN
esrj-41988	37	10	in	in	ADP
esrj-41988	37	11	organic	organic	ADJ
esrj-41988	37	12	compounds	compound	NOUN
esrj-41988	37	13	and	and	CCONJ
esrj-41988	37	14	compressible	compressible	ADJ
esrj-41988	37	15	materials	material	NOUN
esrj-41988	37	16	could	could	AUX
esrj-41988	37	17	bring	bring	VERB
esrj-41988	37	18	about	about	ADP
esrj-41988	37	19	an	an	DET
esrj-41988	37	20	increase	increase	NOUN
esrj-41988	37	21	in	in	ADP
esrj-41988	37	22	c’c	c’c	PROPN
esrj-41988	37	23	.	.	PUNCT
esrj-41988	38	1	karimpour	karimpour	NOUN
esrj-41988	38	2	-	-	PUNCT
esrj-41988	38	3	fard	fard	NOUN
esrj-41988	38	4	and	and	CCONJ
esrj-41988	38	5	machado	machado	PROPN
esrj-41988	38	6	(	(	PUNCT
esrj-41988	38	7	2009	2009	NUM
esrj-41988	38	8	)	)	PUNCT
esrj-41988	38	9	and	and	CCONJ
esrj-41988	38	10	chen	chen	PROPN
esrj-41988	38	11	et	et	PROPN
esrj-41988	38	12	al	al	PROPN
esrj-41988	38	13	.	.	PROPN
esrj-41988	39	1	(	(	PUNCT
esrj-41988	39	2	2009	2009	NUM
esrj-41988	39	3	)	)	PUNCT
esrj-41988	39	4	tried	try	VERB
esrj-41988	39	5	to	to	PART
esrj-41988	39	6	examine	examine	VERB
esrj-41988	39	7	the	the	DET
esrj-41988	39	8	compressibility	compressibility	NOUN
esrj-41988	39	9	of	of	ADP
esrj-41988	39	10	waste	waste	NOUN
esrj-41988	39	11	samples	sample	NOUN
esrj-41988	39	12	that	that	PRON
esrj-41988	39	13	were	be	AUX
esrj-41988	39	14	at	at	ADP
esrj-41988	39	15	different	different	ADJ
esrj-41988	39	16	ages	age	NOUN
esrj-41988	39	17	.	.	PUNCT
esrj-41988	40	1	the	the	DET
esrj-41988	40	2	results	result	NOUN
esrj-41988	40	3	demonstrated	demonstrate	VERB
esrj-41988	40	4	that	that	SCONJ
esrj-41988	40	5	an	an	DET
esrj-41988	40	6	increase	increase	NOUN
esrj-41988	40	7	in	in	ADP
esrj-41988	40	8	the	the	DET
esrj-41988	40	9	age	age	NOUN
esrj-41988	40	10	;	;	PUNCT
esrj-41988	40	11	thus	thus	ADV
esrj-41988	40	12	,	,	PUNCT
esrj-41988	40	13	further	further	ADJ
esrj-41988	40	14	waste	waste	NOUN
esrj-41988	40	15	decomposition	decomposition	NOUN
esrj-41988	40	16	decreased	decrease	VERB
esrj-41988	40	17	the	the	DET
esrj-41988	40	18	waste	waste	NOUN
esrj-41988	40	19	compressibility	compressibility	NOUN
esrj-41988	40	20	and	and	CCONJ
esrj-41988	40	21	compression	compression	NOUN
esrj-41988	40	22	ratio	ratio	NOUN
esrj-41988	40	23	.	.	PUNCT
esrj-41988	41	1	durmusoglu	durmusoglu	PROPN
esrj-41988	41	2	et	et	PROPN
esrj-41988	41	3	al	al	PROPN
esrj-41988	41	4	.	.	PROPN
esrj-41988	42	1	(	(	PUNCT
esrj-41988	42	2	2006	2006	NUM
esrj-41988	42	3	)	)	PUNCT
esrj-41988	42	4	tested	test	VERB
esrj-41988	42	5	waste	waste	NOUN
esrj-41988	42	6	materials	material	NOUN
esrj-41988	42	7	with	with	ADP
esrj-41988	42	8	a	a	DET
esrj-41988	42	9	natural	natural	ADJ
esrj-41988	42	10	moisture	moisture	NOUN
esrj-41988	42	11	content	content	NOUN
esrj-41988	42	12	and	and	CCONJ
esrj-41988	42	13	field	field	NOUN
esrj-41988	42	14	capacity	capacity	NOUN
esrj-41988	42	15	moisture	moisture	NOUN
esrj-41988	42	16	.	.	PUNCT
esrj-41988	43	1	the	the	DET
esrj-41988	43	2	results	result	NOUN
esrj-41988	43	3	indicated	indicate	VERB
esrj-41988	43	4	that	that	SCONJ
esrj-41988	43	5	wastes	waste	VERB
esrj-41988	43	6	with	with	ADP
esrj-41988	43	7	field	field	NOUN
esrj-41988	43	8	capacity	capacity	NOUN
esrj-41988	43	9	moisture	moisture	NOUN
esrj-41988	43	10	had	have	VERB
esrj-41988	43	11	a	a	DET
esrj-41988	43	12	higher	high	ADJ
esrj-41988	43	13	c’c	c’c	NOUN
esrj-41988	43	14	than	than	ADP
esrj-41988	43	15	those	those	PRON
esrj-41988	43	16	with	with	ADP
esrj-41988	43	17	a	a	DET
esrj-41988	43	18	natural	natural	ADJ
esrj-41988	43	19	moisture	moisture	NOUN
esrj-41988	43	20	content	content	NOUN
esrj-41988	43	21	.	.	PUNCT
esrj-41988	44	1	other	other	ADJ
esrj-41988	44	2	researchers	researcher	NOUN
esrj-41988	44	3	,	,	PUNCT
esrj-41988	44	4	such	such	ADJ
esrj-41988	44	5	as	as	ADP
esrj-41988	44	6	vilar	vilar	NOUN
esrj-41988	44	7	and	and	CCONJ
esrj-41988	44	8	carvalho	carvalho	NOUN
esrj-41988	44	9	(	(	PUNCT
esrj-41988	44	10	2004	2004	NUM
esrj-41988	44	11	)	)	PUNCT
esrj-41988	44	12	and	and	CCONJ
esrj-41988	44	13	reddy	reddy	PROPN
esrj-41988	44	14	et	et	PROPN
esrj-41988	44	15	al	al	PROPN
esrj-41988	44	16	.	.	PROPN
esrj-41988	44	17	(	(	PUNCT
esrj-41988	44	18	2009b	2009b	NUM
esrj-41988	44	19	)	)	PUNCT
esrj-41988	44	20	,	,	PUNCT
esrj-41988	44	21	examined	examine	VERB
esrj-41988	44	22	waste	waste	NOUN
esrj-41988	44	23	samples	sample	NOUN
esrj-41988	44	24	with	with	ADP
esrj-41988	44	25	a	a	DET
esrj-41988	44	26	similar	similar	ADJ
esrj-41988	44	27	composition	composition	NOUN
esrj-41988	44	28	and	and	CCONJ
esrj-41988	44	29	a	a	DET
esrj-41988	44	30	dry	dry	ADJ
esrj-41988	44	31	unit	unit	NOUN
esrj-41988	44	32	weight	weight	NOUN
esrj-41988	44	33	.	.	PUNCT
esrj-41988	45	1	they	they	PRON
esrj-41988	45	2	reported	report	VERB
esrj-41988	45	3	higher	high	ADJ
esrj-41988	45	4	c’c	c’c	NOUN
esrj-41988	45	5	values	value	NOUN
esrj-41988	45	6	for	for	ADP
esrj-41988	45	7	wastes	waste	NOUN
esrj-41988	45	8	with	with	ADP
esrj-41988	45	9	higher	high	ADJ
esrj-41988	45	10	water	water	NOUN
esrj-41988	45	11	contents	content	NOUN
esrj-41988	45	12	.	.	PUNCT
esrj-41988	46	1	earlier	early	ADJ
esrj-41988	46	2	experimental	experimental	ADJ
esrj-41988	46	3	works	work	NOUN
esrj-41988	46	4	introduced	introduce	VERB
esrj-41988	46	5	such	such	ADJ
esrj-41988	46	6	parameter	parameter	NOUN
esrj-41988	46	7	as	as	ADP
esrj-41988	46	8	dry	dry	ADJ
esrj-41988	46	9	unit	unit	NOUN
esrj-41988	46	10	weight	weight	NOUN
esrj-41988	46	11	,	,	PUNCT
esrj-41988	46	12	water	water	NOUN
esrj-41988	46	13	content	content	NOUN
esrj-41988	46	14	,	,	PUNCT
esrj-41988	46	15	and	and	CCONJ
esrj-41988	46	16	contribution	contribution	NOUN
esrj-41988	46	17	percentage	percentage	NOUN
esrj-41988	46	18	of	of	ADP
esrj-41988	46	19	biodegradable	biodegradable	ADJ
esrj-41988	46	20	organic	organic	ADJ
esrj-41988	46	21	materials	material	NOUN
esrj-41988	46	22	(	(	PUNCT
esrj-41988	46	23	paper	paper	NOUN
esrj-41988	46	24	,	,	PUNCT
esrj-41988	46	25	food	food	NOUN
esrj-41988	46	26	wastes	waste	NOUN
esrj-41988	46	27	,	,	PUNCT
esrj-41988	46	28	and	and	CCONJ
esrj-41988	46	29	yard	yard	NOUN
esrj-41988	46	30	wastes	waste	NOUN
esrj-41988	46	31	)	)	PUNCT
esrj-41988	46	32	as	as	ADP
esrj-41988	46	33	the	the	DET
esrj-41988	46	34	most	most	ADV
esrj-41988	46	35	significant	significant	ADJ
esrj-41988	46	36	factors	factor	NOUN
esrj-41988	46	37	which	which	PRON
esrj-41988	46	38	affect	affect	VERB
esrj-41988	46	39	the	the	DET
esrj-41988	46	40	compressibility	compressibility	NOUN
esrj-41988	46	41	of	of	ADP
esrj-41988	46	42	municipal	municipal	ADJ
esrj-41988	46	43	solid	solid	ADJ
esrj-41988	46	44	waste	waste	NOUN
esrj-41988	46	45	.	.	PUNCT
esrj-41988	47	1	earlier	early	ADJ
esrj-41988	47	2	studies	study	NOUN
esrj-41988	47	3	have	have	AUX
esrj-41988	47	4	addressed	address	VERB
esrj-41988	47	5	the	the	DET
esrj-41988	47	6	effect	effect	NOUN
esrj-41988	47	7	of	of	ADP
esrj-41988	47	8	some	some	DET
esrj-41988	47	9	parameters	parameter	NOUN
esrj-41988	47	10	on	on	ADP
esrj-41988	47	11	waste	waste	NOUN
esrj-41988	47	12	compression	compression	NOUN
esrj-41988	47	13	ratio	ratio	NOUN
esrj-41988	47	14	.	.	PUNCT
esrj-41988	48	1	it	it	PRON
esrj-41988	48	2	is	be	AUX
esrj-41988	48	3	to	to	PART
esrj-41988	48	4	be	be	AUX
esrj-41988	48	5	noted	note	VERB
esrj-41988	48	6	that	that	SCONJ
esrj-41988	48	7	determining	determine	VERB
esrj-41988	48	8	compression	compression	NOUN
esrj-41988	48	9	ratio	ratio	NOUN
esrj-41988	48	10	through	through	ADP
esrj-41988	48	11	an	an	DET
esrj-41988	48	12	oedometer	oedometer	ADJ
esrj-41988	48	13	test	test	NOUN
esrj-41988	48	14	is	be	AUX
esrj-41988	48	15	time	time	NOUN
esrj-41988	48	16	-	-	PUNCT
esrj-41988	48	17	consuming	consume	VERB
esrj-41988	48	18	.	.	PUNCT
esrj-41988	49	1	another	another	DET
esrj-41988	49	2	problem	problem	NOUN
esrj-41988	49	3	with	with	ADP
esrj-41988	49	4	doing	do	VERB
esrj-41988	49	5	this	this	DET
esrj-41988	49	6	test	test	NOUN
esrj-41988	49	7	on	on	ADP
esrj-41988	49	8	waste	waste	NOUN
esrj-41988	49	9	materials	material	NOUN
esrj-41988	49	10	is	be	AUX
esrj-41988	49	11	the	the	DET
esrj-41988	49	12	scale	scale	NOUN
esrj-41988	49	13	effect	effect	NOUN
esrj-41988	49	14	.	.	PUNCT
esrj-41988	50	1	owing	owe	VERB
esrj-41988	50	2	to	to	ADP
esrj-41988	50	3	the	the	DET
esrj-41988	50	4	fact	fact	NOUN
esrj-41988	50	5	that	that	SCONJ
esrj-41988	50	6	the	the	DET
esrj-41988	50	7	particles	particle	NOUN
esrj-41988	50	8	of	of	ADP
esrj-41988	50	9	waste	waste	NOUN
esrj-41988	50	10	materials	material	NOUN
esrj-41988	50	11	are	be	AUX
esrj-41988	50	12	much	much	ADV
esrj-41988	50	13	larger	large	ADJ
esrj-41988	50	14	than	than	ADP
esrj-41988	50	15	those	those	PRON
esrj-41988	50	16	of	of	ADP
esrj-41988	50	17	fine	fine	ADV
esrj-41988	50	18	-	-	PUNCT
esrj-41988	50	19	grained	grain	VERB
esrj-41988	50	20	soil	soil	NOUN
esrj-41988	50	21	,	,	PUNCT
esrj-41988	50	22	it	it	PRON
esrj-41988	50	23	is	be	AUX
esrj-41988	50	24	not	not	PART
esrj-41988	50	25	possible	possible	ADJ
esrj-41988	50	26	to	to	PART
esrj-41988	50	27	precisely	precisely	ADV
esrj-41988	50	28	determine	determine	VERB
esrj-41988	50	29	the	the	DET
esrj-41988	50	30	waste	waste	NOUN
esrj-41988	50	31	compressibility	compressibility	NOUN
esrj-41988	50	32	by	by	ADP
esrj-41988	50	33	commonly	commonly	ADV
esrj-41988	50	34	used	use	VERB
esrj-41988	50	35	oedometers	oedometer	NOUN
esrj-41988	50	36	such	such	ADJ
esrj-41988	50	37	as	as	ADP
esrj-41988	50	38	casagerande	casagerande	NOUN
esrj-41988	50	39	oedometer	oedometer	NOUN
esrj-41988	50	40	.	.	PUNCT
esrj-41988	51	1	in	in	ADP
esrj-41988	51	2	many	many	ADJ
esrj-41988	51	3	cases	case	NOUN
esrj-41988	51	4	,	,	PUNCT
esrj-41988	51	5	therefore	therefore	ADV
esrj-41988	51	6	,	,	PUNCT
esrj-41988	51	7	any	any	DET
esrj-41988	51	8	precise	precise	ADJ
esrj-41988	51	9	investigation	investigation	NOUN
esrj-41988	51	10	of	of	ADP
esrj-41988	51	11	the	the	DET
esrj-41988	51	12	compressibility	compressibility	NOUN
esrj-41988	51	13	behavior	behavior	NOUN
esrj-41988	51	14	of	of	ADP
esrj-41988	51	15	waste	waste	NOUN
esrj-41988	51	16	entails	entail	VERB
esrj-41988	51	17	designing	design	VERB
esrj-41988	51	18	and	and	CCONJ
esrj-41988	51	19	manufacturing	manufacturing	NOUN
esrj-41988	51	20	oedometer	oedometer	NOUN
esrj-41988	51	21	instruments	instrument	NOUN
esrj-41988	51	22	that	that	PRON
esrj-41988	51	23	suit	suit	VERB
esrj-41988	51	24	the	the	DET
esrj-41988	51	25	size	size	NOUN
esrj-41988	51	26	of	of	ADP
esrj-41988	51	27	waste	waste	NOUN
esrj-41988	51	28	materials	material	NOUN
esrj-41988	51	29	.	.	PUNCT
esrj-41988	52	1	also	also	ADV
esrj-41988	52	2	,	,	PUNCT
esrj-41988	52	3	owing	owe	VERB
esrj-41988	52	4	to	to	ADP
esrj-41988	52	5	the	the	DET
esrj-41988	52	6	specific	specific	ADJ
esrj-41988	52	7	nature	nature	NOUN
esrj-41988	52	8	of	of	ADP
esrj-41988	52	9	waste	waste	NOUN
esrj-41988	52	10	materials	material	NOUN
esrj-41988	52	11	,	,	PUNCT
esrj-41988	52	12	it	it	PRON
esrj-41988	52	13	would	would	AUX
esrj-41988	52	14	be	be	AUX
esrj-41988	52	15	hard	hard	ADJ
esrj-41988	52	16	to	to	PART
esrj-41988	52	17	work	work	VERB
esrj-41988	52	18	on	on	ADP
esrj-41988	52	19	them	they	PRON
esrj-41988	52	20	.	.	PUNCT
esrj-41988	53	1	therefore	therefore	ADV
esrj-41988	53	2	,	,	PUNCT
esrj-41988	53	3	it	it	PRON
esrj-41988	53	4	seems	seem	VERB
esrj-41988	53	5	necessary	necessary	ADJ
esrj-41988	53	6	to	to	PART
esrj-41988	53	7	develop	develop	VERB
esrj-41988	53	8	models	model	NOUN
esrj-41988	53	9	that	that	PRON
esrj-41988	53	10	are	be	AUX
esrj-41988	53	11	based	base	VERB
esrj-41988	53	12	on	on	ADP
esrj-41988	53	13	effective	effective	ADJ
esrj-41988	53	14	parameters	parameter	NOUN
esrj-41988	53	15	measured	measure	VERB
esrj-41988	53	16	through	through	ADP
esrj-41988	53	17	more	more	ADJ
esrj-41988	53	18	simple	simple	ADJ
esrj-41988	53	19	experimental	experimental	ADJ
esrj-41988	53	20	methods	method	NOUN
esrj-41988	53	21	.	.	PUNCT
esrj-41988	54	1	in	in	ADP
esrj-41988	54	2	recent	recent	ADJ
esrj-41988	54	3	years	year	NOUN
esrj-41988	54	4	,	,	PUNCT
esrj-41988	54	5	soft	soft	ADJ
esrj-41988	54	6	computing	computing	NOUN
esrj-41988	54	7	methods	method	NOUN
esrj-41988	54	8	such	such	ADJ
esrj-41988	54	9	as	as	ADP
esrj-41988	54	10	neural	neural	ADJ
esrj-41988	54	11	networks	network	NOUN
esrj-41988	54	12	and	and	CCONJ
esrj-41988	54	13	neuro	neuro	NOUN
esrj-41988	54	14	-	-	PUNCT
esrj-41988	54	15	fuzzy	fuzzy	ADJ
esrj-41988	54	16	have	have	AUX
esrj-41988	54	17	been	be	AUX
esrj-41988	54	18	used	use	VERB
esrj-41988	54	19	successfully	successfully	ADV
esrj-41988	54	20	to	to	PART
esrj-41988	54	21	solve	solve	VERB
esrj-41988	54	22	a	a	DET
esrj-41988	54	23	wide	wide	ADJ
esrj-41988	54	24	variety	variety	NOUN
esrj-41988	54	25	of	of	ADP
esrj-41988	54	26	problems	problem	NOUN
esrj-41988	54	27	in	in	ADP
esrj-41988	54	28	geosciences	geoscience	NOUN
esrj-41988	54	29	εi	εi	VERB
esrj-41988	54	30	=	=	NOUN
esrj-41988	54	31	cc	cc	NOUN
esrj-41988	54	32	'	'	PUNCT
esrj-41988	54	33	σ	σ	PROPN
esrj-41988	54	34	v0	v0	NOUN
esrj-41988	54	35	'	'	PART
esrj-41988	55	1	+	+	NOUN
esrj-41988	55	2	δσ	δσ	PROPN
esrj-41988	55	3	v	v	NOUN
esrj-41988	55	4	'	'	PUNCT
esrj-41988	55	5	σ	σ	NOUN
esrj-41988	55	6	v0	v0	NOUN
esrj-41988	55	7	'	'	PUNCT
esrj-41988	55	8	and	and	CCONJ
esrj-41988	55	9	geotechnical	geotechnical	ADJ
esrj-41988	55	10	engineering	engineering	NOUN
esrj-41988	55	11	.	.	PUNCT
esrj-41988	56	1	these	these	PRON
esrj-41988	56	2	include	include	VERB
esrj-41988	56	3	the	the	DET
esrj-41988	56	4	estimation	estimation	NOUN
esrj-41988	56	5	of	of	ADP
esrj-41988	56	6	the	the	DET
esrj-41988	56	7	prediction	prediction	NOUN
esrj-41988	56	8	of	of	ADP
esrj-41988	56	9	compression	compression	NOUN
esrj-41988	56	10	ratio	ratio	NOUN
esrj-41988	56	11	of	of	ADP
esrj-41988	56	12	soils	soil	NOUN
esrj-41988	56	13	(	(	PUNCT
esrj-41988	56	14	park	park	NOUN
esrj-41988	56	15	and	and	CCONJ
esrj-41988	56	16	lee	lee	PROPN
esrj-41988	56	17	,	,	PUNCT
esrj-41988	56	18	2011	2011	NUM
esrj-41988	56	19	;	;	PUNCT
esrj-41988	56	20	and	and	CCONJ
esrj-41988	56	21	ozer	ozer	NOUN
esrj-41988	56	22	et	et	PROPN
esrj-41988	56	23	al	al	PROPN
esrj-41988	56	24	.	.	PROPN
esrj-41988	56	25	,	,	PUNCT
esrj-41988	56	26	2008	2008	NUM
esrj-41988	56	27	)	)	PUNCT
esrj-41988	56	28	,	,	PUNCT
esrj-41988	56	29	strength	strength	NOUN
esrj-41988	56	30	parameter	parameter	NOUN
esrj-41988	56	31	modeling	modeling	NOUN
esrj-41988	56	32	of	of	ADP
esrj-41988	56	33	different	different	ADJ
esrj-41988	56	34	soils	soil	NOUN
esrj-41988	56	35	(	(	PUNCT
esrj-41988	56	36	sezer	sez	ADJ
esrj-41988	56	37	,	,	PUNCT
esrj-41988	56	38	2013	2013	NUM
esrj-41988	56	39	;	;	PUNCT
esrj-41988	56	40	khanlari	khanlari	PROPN
esrj-41988	56	41	et	et	PROPN
esrj-41988	56	42	al	al	PROPN
esrj-41988	56	43	.	.	PROPN
esrj-41988	56	44	,	,	PUNCT
esrj-41988	56	45	2012	2012	NUM
esrj-41988	56	46	;	;	PUNCT
esrj-41988	56	47	and	and	CCONJ
esrj-41988	56	48	heshmati	heshmati	NOUN
esrj-41988	56	49	et	et	PROPN
esrj-41988	56	50	al	al	PROPN
esrj-41988	56	51	.	.	PROPN
esrj-41988	56	52	,	,	PUNCT
esrj-41988	56	53	2009	2009	NUM
esrj-41988	56	54	)	)	PUNCT
esrj-41988	56	55	,	,	PUNCT
esrj-41988	56	56	simulation	simulation	NOUN
esrj-41988	56	57	of	of	ADP
esrj-41988	56	58	waste	waste	NOUN
esrj-41988	56	59	generation	generation	NOUN
esrj-41988	56	60	(	(	PUNCT
esrj-41988	56	61	noori	noori	PROPN
esrj-41988	56	62	et	et	PROPN
esrj-41988	56	63	al	al	PROPN
esrj-41988	56	64	.	.	PROPN
esrj-41988	56	65	,	,	PUNCT
esrj-41988	56	66	2009	2009	NUM
esrj-41988	56	67	)	)	PUNCT
esrj-41988	56	68	,	,	PUNCT
esrj-41988	56	69	estimation	estimation	NOUN
esrj-41988	56	70	of	of	ADP
esrj-41988	56	71	probability	probability	NOUN
esrj-41988	56	72	of	of	ADP
esrj-41988	56	73	the	the	DET
esrj-41988	56	74	liquefaction	liquefaction	NOUN
esrj-41988	56	75	(	(	PUNCT
esrj-41988	56	76	hanna	hanna	PROPN
esrj-41988	56	77	et	et	PROPN
esrj-41988	56	78	al	al	PROPN
esrj-41988	56	79	.	.	PROPN
esrj-41988	56	80	,	,	PUNCT
esrj-41988	56	81	2007	2007	NUM
esrj-41988	56	82	;	;	PUNCT
esrj-41988	56	83	and	and	CCONJ
esrj-41988	56	84	venkatesh	venkatesh	PROPN
esrj-41988	56	85	et	et	PROPN
esrj-41988	56	86	al	al	PROPN
esrj-41988	56	87	.	.	PROPN
esrj-41988	56	88	,	,	PUNCT
esrj-41988	56	89	2013	2013	NUM
esrj-41988	56	90	)	)	PUNCT
esrj-41988	56	91	.	.	PUNCT
esrj-41988	57	1	in	in	ADP
esrj-41988	57	2	the	the	DET
esrj-41988	57	3	present	present	ADJ
esrj-41988	57	4	study	study	NOUN
esrj-41988	57	5	,	,	PUNCT
esrj-41988	57	6	two	two	NUM
esrj-41988	57	7	soft	soft	ADJ
esrj-41988	57	8	computing	computing	NOUN
esrj-41988	57	9	methods	method	NOUN
esrj-41988	57	10	,	,	PUNCT
esrj-41988	57	11	i.e.	i.e.	X
esrj-41988	57	12	adaptive	adaptive	ADJ
esrj-41988	57	13	neuro	neuro	PROPN
esrj-41988	57	14	fuzzy	fuzzy	ADJ
esrj-41988	57	15	inference	inference	NOUN
esrj-41988	57	16	system	system	NOUN
esrj-41988	57	17	(	(	PUNCT
esrj-41988	57	18	anfis	anfi	VERB
esrj-41988	57	19	)	)	PUNCT
esrj-41988	57	20	and	and	CCONJ
esrj-41988	57	21	neural	neural	ADJ
esrj-41988	57	22	network	network	NOUN
esrj-41988	57	23	(	(	PUNCT
esrj-41988	57	24	ann	ann	PROPN
esrj-41988	57	25	)	)	PUNCT
esrj-41988	57	26	,	,	PUNCT
esrj-41988	57	27	have	have	AUX
esrj-41988	57	28	been	be	AUX
esrj-41988	57	29	utilized	utilize	VERB
esrj-41988	57	30	to	to	PART
esrj-41988	57	31	propose	propose	VERB
esrj-41988	57	32	efficient	efficient	ADJ
esrj-41988	57	33	models	model	NOUN
esrj-41988	57	34	for	for	ADP
esrj-41988	57	35	predicting	predict	VERB
esrj-41988	57	36	the	the	DET
esrj-41988	57	37	compression	compression	NOUN
esrj-41988	57	38	ratio	ratio	NOUN
esrj-41988	57	39	of	of	ADP
esrj-41988	57	40	msw	msw	NOUN
esrj-41988	57	41	.	.	PUNCT
esrj-41988	58	1	artificial	artificial	ADJ
esrj-41988	58	2	neural	neural	ADJ
esrj-41988	58	3	network	network	NOUN
esrj-41988	58	4	(	(	PUNCT
esrj-41988	58	5	ann	ann	PROPN
esrj-41988	58	6	)	)	PUNCT
esrj-41988	58	7	a	a	DET
esrj-41988	58	8	neural	neural	ADJ
esrj-41988	58	9	network	network	NOUN
esrj-41988	58	10	consists	consist	VERB
esrj-41988	58	11	of	of	ADP
esrj-41988	58	12	parallel	parallel	ADJ
esrj-41988	58	13	layers	layer	NOUN
esrj-41988	58	14	of	of	ADP
esrj-41988	58	15	simple	simple	ADJ
esrj-41988	58	16	computational	computational	ADJ
esrj-41988	58	17	elements	element	NOUN
esrj-41988	58	18	called	call	VERB
esrj-41988	58	19	‘	'	PUNCT
esrj-41988	58	20	artificial	artificial	ADJ
esrj-41988	58	21	neurons	neuron	NOUN
esrj-41988	58	22	’	'	PUNCT
esrj-41988	58	23	.	.	PUNCT
esrj-41988	59	1	all	all	PRON
esrj-41988	59	2	of	of	ADP
esrj-41988	59	3	the	the	DET
esrj-41988	59	4	layers	layer	NOUN
esrj-41988	59	5	are	be	AUX
esrj-41988	59	6	connected	connect	VERB
esrj-41988	59	7	to	to	ADP
esrj-41988	59	8	each	each	DET
esrj-41988	59	9	other	other	ADJ
esrj-41988	59	10	by	by	ADP
esrj-41988	59	11	interconnection	interconnection	NOUN
esrj-41988	59	12	weights	weight	NOUN
esrj-41988	59	13	.	.	PUNCT
esrj-41988	60	1	figure	figure	NOUN
esrj-41988	60	2	1(b	1(b	NUM
esrj-41988	60	3	)	)	PUNCT
esrj-41988	60	4	shows	show	VERB
esrj-41988	60	5	an	an	DET
esrj-41988	60	6	artificial	artificial	ADJ
esrj-41988	60	7	neuron	neuron	NOUN
esrj-41988	60	8	model	model	NOUN
esrj-41988	60	9	.	.	PUNCT
esrj-41988	61	1	the	the	DET
esrj-41988	61	2	artificial	artificial	ADJ
esrj-41988	61	3	neurons	neuron	NOUN
esrj-41988	61	4	basically	basically	ADV
esrj-41988	61	5	include	include	VERB
esrj-41988	61	6	three	three	NUM
esrj-41988	61	7	parts	part	NOUN
esrj-41988	61	8	:	:	PUNCT
esrj-41988	61	9	weight	weight	NOUN
esrj-41988	61	10	,	,	PUNCT
esrj-41988	61	11	bias	bias	NOUN
esrj-41988	61	12	and	and	CCONJ
esrj-41988	61	13	transfer	transfer	NOUN
esrj-41988	61	14	function	function	NOUN
esrj-41988	61	15	.	.	PUNCT
esrj-41988	62	1	in	in	ADP
esrj-41988	62	2	each	each	DET
esrj-41988	62	3	neuron	neuron	NOUN
esrj-41988	62	4	,	,	PUNCT
esrj-41988	62	5	coming	come	VERB
esrj-41988	62	6	signals	signal	NOUN
esrj-41988	62	7	from	from	ADP
esrj-41988	62	8	the	the	DET
esrj-41988	62	9	previous	previous	ADJ
esrj-41988	62	10	layer	layer	NOUN
esrj-41988	62	11	,	,	PUNCT
esrj-41988	62	12	ix	ix	ADV
esrj-41988	62	13	,	,	PUNCT
esrj-41988	62	14	are	be	AUX
esrj-41988	62	15	multiplied	multiply	VERB
esrj-41988	62	16	by	by	ADP
esrj-41988	62	17	the	the	DET
esrj-41988	62	18	related	relate	VERB
esrj-41988	62	19	adjustable	adjustable	ADJ
esrj-41988	62	20	connection	connection	NOUN
esrj-41988	62	21	weight	weight	NOUN
esrj-41988	62	22	,	,	PUNCT
esrj-41988	62	23	ijw	ijw	NOUN
esrj-41988	62	24	,	,	PUNCT
esrj-41988	62	25	and	and	CCONJ
esrj-41988	62	26	then	then	ADV
esrj-41988	62	27	summed	sum	VERB
esrj-41988	62	28	in	in	ADP
esrj-41988	62	29	addition	addition	NOUN
esrj-41988	62	30	to	to	ADP
esrj-41988	62	31	an	an	DET
esrj-41988	62	32	bias	bias	NOUN
esrj-41988	62	33	value	value	NOUN
esrj-41988	62	34	,	,	PUNCT
esrj-41988	62	35	θ	θ	PROPN
esrj-41988	62	36	j	j	PROPN
esrj-41988	62	37	,	,	PUNCT
esrj-41988	62	38	.	.	PUNCT
esrj-41988	63	1	then	then	ADV
esrj-41988	63	2	the	the	DET
esrj-41988	63	3	combined	combined	ADJ
esrj-41988	63	4	input	input	NOUN
esrj-41988	63	5	,	,	PUNCT
esrj-41988	63	6	ji	ji	PROPN
esrj-41988	63	7	,	,	PUNCT
esrj-41988	63	8	is	be	AUX
esrj-41988	63	9	passed	pass	VERB
esrj-41988	63	10	through	through	ADP
esrj-41988	63	11	a	a	DET
esrj-41988	63	12	nonlinear	nonlinear	ADJ
esrj-41988	63	13	transfer	transfer	NOUN
esrj-41988	63	14	function	function	NOUN
esrj-41988	63	15	,	,	PUNCT
esrj-41988	63	16	)	)	PUNCT
esrj-41988	63	17	(	(	PUNCT
esrj-41988	63	18	jif	jif	PROPN
esrj-41988	63	19	,	,	PUNCT
esrj-41988	63	20	to	to	PART
esrj-41988	63	21	yield	yield	VERB
esrj-41988	63	22	the	the	DET
esrj-41988	63	23	output	output	NOUN
esrj-41988	63	24	of	of	ADP
esrj-41988	63	25	the	the	DET
esrj-41988	63	26	neuron	neuron	NOUN
esrj-41988	63	27	(	(	PUNCT
esrj-41988	63	28	yi	yi	PROPN
esrj-41988	63	29	)	)	PUNCT
esrj-41988	63	30	(	(	PUNCT
esrj-41988	63	31	jaksa	jaksa	NOUN
esrj-41988	63	32	et	et	PROPN
esrj-41988	63	33	al	al	PROPN
esrj-41988	63	34	.	.	PROPN
esrj-41988	63	35	,	,	PUNCT
esrj-41988	63	36	2008	2008	NUM
esrj-41988	63	37	)	)	PUNCT
esrj-41988	63	38	.	.	PUNCT
esrj-41988	64	1	output	output	NOUN
esrj-41988	64	2	of	of	ADP
esrj-41988	64	3	each	each	DET
esrj-41988	64	4	neuron	neuron	NOUN
esrj-41988	64	5	creates	create	VERB
esrj-41988	64	6	the	the	DET
esrj-41988	64	7	input	input	NOUN
esrj-41988	64	8	of	of	ADP
esrj-41988	64	9	the	the	DET
esrj-41988	64	10	neuron	neuron	NOUN
esrj-41988	64	11	in	in	ADP
esrj-41988	64	12	the	the	DET
esrj-41988	64	13	next	next	ADJ
esrj-41988	64	14	layer	layer	NOUN
esrj-41988	64	15	.	.	PUNCT
esrj-41988	65	1	this	this	DET
esrj-41988	65	2	process	process	NOUN
esrj-41988	65	3	is	be	AUX
esrj-41988	65	4	summarized	summarize	VERB
esrj-41988	65	5	in	in	ADP
esrj-41988	65	6	equations	equation	NOUN
esrj-41988	65	7	(	(	PUNCT
esrj-41988	65	8	2	2	NUM
esrj-41988	65	9	)	)	PUNCT
esrj-41988	65	10	and	and	CCONJ
esrj-41988	65	11	(	(	PUNCT
esrj-41988	65	12	3	3	NUM
esrj-41988	65	13	)	)	PUNCT
esrj-41988	65	14	,	,	PUNCT
esrj-41988	65	15	and	and	CCONJ
esrj-41988	65	16	illustrated	illustrate	VERB
esrj-41988	65	17	in	in	ADP
esrj-41988	65	18	fig	fig	NOUN
esrj-41988	65	19	1(b	1(b	NUM
esrj-41988	65	20	):	):	PUNCT
esrj-41988	65	21	(	(	PUNCT
esrj-41988	65	22	2	2	NUM
esrj-41988	65	23	)	)	PUNCT
esrj-41988	65	24	(	(	PUNCT
esrj-41988	65	25	3	3	X
esrj-41988	65	26	)	)	PUNCT
esrj-41988	65	27	fig	fig	NOUN
esrj-41988	65	28	.	.	PUNCT
esrj-41988	66	1	1	1	NUM
esrj-41988	66	2	(	(	PUNCT
esrj-41988	66	3	a	a	X
esrj-41988	66	4	)	)	PUNCT
esrj-41988	66	5	the	the	DET
esrj-41988	66	6	feed	feed	NOUN
esrj-41988	66	7	forward	forward	ADV
esrj-41988	66	8	neural	neural	ADJ
esrj-41988	66	9	network	network	NOUN
esrj-41988	66	10	structure	structure	NOUN
esrj-41988	66	11	used	use	VERB
esrj-41988	66	12	for	for	ADP
esrj-41988	66	13	modeling	model	VERB
esrj-41988	66	14	compression	compression	NOUN
esrj-41988	66	15	ratio	ratio	NOUN
esrj-41988	66	16	of	of	ADP
esrj-41988	66	17	msw	msw	NOUN
esrj-41988	66	18	,	,	PUNCT
esrj-41988	66	19	(	(	PUNCT
esrj-41988	66	20	b	b	X
esrj-41988	66	21	)	)	PUNCT
esrj-41988	66	22	the	the	DET
esrj-41988	66	23	artificial	artificial	ADJ
esrj-41988	66	24	neuron	neuron	NOUN
esrj-41988	66	25	model	model	NOUN
esrj-41988	66	26	one	one	NUM
esrj-41988	66	27	of	of	ADP
esrj-41988	66	28	the	the	DET
esrj-41988	66	29	most	most	ADV
esrj-41988	66	30	practical	practical	ADJ
esrj-41988	66	31	artificial	artificial	ADJ
esrj-41988	66	32	neural	neural	ADJ
esrj-41988	66	33	networks	network	NOUN
esrj-41988	66	34	for	for	ADP
esrj-41988	66	35	solving	solve	VERB
esrj-41988	66	36	the	the	DET
esrj-41988	66	37	problems	problem	NOUN
esrj-41988	66	38	of	of	ADP
esrj-41988	66	39	engineering	engineering	NOUN
esrj-41988	66	40	and	and	CCONJ
esrj-41988	66	41	geotechnics	geotechnic	NOUN
esrj-41988	66	42	is	be	AUX
esrj-41988	66	43	multi	multi	ADJ
esrj-41988	66	44	-	-	ADJ
esrj-41988	66	45	layer	layer	ADJ
esrj-41988	66	46	perceptron	perceptron	NOUN
esrj-41988	66	47	(	(	PUNCT
esrj-41988	66	48	mlp	mlp	PROPN
esrj-41988	66	49	)	)	PUNCT
esrj-41988	66	50	network	network	NOUN
esrj-41988	66	51	(	(	PUNCT
esrj-41988	66	52	khanlari	khanlari	PROPN
esrj-41988	66	53	et	et	PROPN
esrj-41988	66	54	al	al	PROPN
esrj-41988	66	55	.	.	PROPN
esrj-41988	66	56	,	,	PUNCT
esrj-41988	66	57	2012	2012	NUM
esrj-41988	66	58	)	)	PUNCT
esrj-41988	66	59	.	.	PUNCT
esrj-41988	67	1	the	the	DET
esrj-41988	67	2	mlp	mlp	PROPN
esrj-41988	67	3	networks	network	NOUN
esrj-41988	67	4	contain	contain	VERB
esrj-41988	67	5	an	an	DET
esrj-41988	67	6	input	input	NOUN
esrj-41988	67	7	layer	layer	NOUN
esrj-41988	67	8	,	,	PUNCT
esrj-41988	67	9	one	one	NUM
esrj-41988	67	10	or	or	CCONJ
esrj-41988	67	11	more	more	ADV
esrj-41988	67	12	hidden	hidden	ADJ
esrj-41988	67	13	layers	layer	NOUN
esrj-41988	67	14	,	,	PUNCT
esrj-41988	67	15	and	and	CCONJ
esrj-41988	67	16	one	one	NUM
esrj-41988	67	17	output	output	NOUN
esrj-41988	67	18	layer	layer	NOUN
esrj-41988	67	19	.	.	PUNCT
esrj-41988	68	1	this	this	DET
esrj-41988	68	2	network	network	NOUN
esrj-41988	68	3	is	be	AUX
esrj-41988	68	4	a	a	DET
esrj-41988	68	5	feedforward	feedforward	ADJ
esrj-41988	68	6	network	network	NOUN
esrj-41988	68	7	,	,	PUNCT
esrj-41988	68	8	the	the	DET
esrj-41988	68	9	information	information	NOUN
esrj-41988	68	10	of	of	ADP
esrj-41988	68	11	which	which	PRON
esrj-41988	68	12	only	only	ADV
esrj-41988	68	13	flows	flow	VERB
esrj-41988	68	14	in	in	ADP
esrj-41988	68	15	one	one	NUM
esrj-41988	68	16	direction	direction	NOUN
esrj-41988	68	17	,	,	PUNCT
esrj-41988	68	18	from	from	ADP
esrj-41988	68	19	the	the	DET
esrj-41988	68	20	input	input	NOUN
esrj-41988	68	21	to	to	ADP
esrj-41988	68	22	the	the	DET
esrj-41988	68	23	output	output	NOUN
esrj-41988	68	24	.	.	PUNCT
esrj-41988	69	1	figure	figure	NOUN
esrj-41988	69	2	1	1	NUM
esrj-41988	69	3	depicts	depict	VERB
esrj-41988	69	4	a	a	DET
esrj-41988	69	5	three	three	NUM
esrj-41988	69	6	-	-	PUNCT
esrj-41988	69	7	layered	layer	VERB
esrj-41988	69	8	feed	feed	NOUN
esrj-41988	69	9	-	-	PUNCT
esrj-41988	69	10	forward	forward	NOUN
esrj-41988	69	11	network	network	NOUN
esrj-41988	69	12	.	.	PUNCT
esrj-41988	70	1	mlp	mlp	PROPN
esrj-41988	70	2	utilizes	utilize	VERB
esrj-41988	70	3	a	a	DET
esrj-41988	70	4	supervised	supervised	ADJ
esrj-41988	70	5	learning	learning	NOUN
esrj-41988	70	6	technique	technique	NOUN
esrj-41988	70	7	called	call	VERB
esrj-41988	70	8	‘	'	PUNCT
esrj-41988	70	9	back	back	ADJ
esrj-41988	70	10	propagation	propagation	NOUN
esrj-41988	70	11	’	'	PUNCT
esrj-41988	70	12	for	for	ADP
esrj-41988	70	13	training	train	VERB
esrj-41988	70	14	the	the	DET
esrj-41988	70	15	network	network	NOUN
esrj-41988	70	16	.	.	PUNCT
esrj-41988	71	1	back	back	ADJ
esrj-41988	71	2	propagation	propagation	NOUN
esrj-41988	71	3	algorithm	algorithm	NOUN
esrj-41988	71	4	is	be	AUX
esrj-41988	71	5	one	one	NUM
esrj-41988	71	6	of	of	ADP
esrj-41988	71	7	the	the	DET
esrj-41988	71	8	most	most	ADV
esrj-41988	71	9	common	common	ADJ
esrj-41988	71	10	supervised	supervised	ADJ
esrj-41988	71	11	learning	learning	NOUN
esrj-41988	71	12	algorithms	algorithm	NOUN
esrj-41988	71	13	for	for	ADP
esrj-41988	71	14	training	training	NOUN
esrj-41988	71	15	feed	feed	NOUN
esrj-41988	71	16	forward	forward	ADV
esrj-41988	71	17	multilayer	multilayer	ADJ
esrj-41988	71	18	networks	network	NOUN
esrj-41988	71	19	.	.	PUNCT
esrj-41988	72	1	this	this	DET
esrj-41988	72	2	algorithm	algorithm	NOUN
esrj-41988	72	3	involves	involve	VERB
esrj-41988	72	4	two	two	NUM
esrj-41988	72	5	main	main	ADJ
esrj-41988	72	6	phases	phase	NOUN
esrj-41988	72	7	,	,	PUNCT
esrj-41988	72	8	namely	namely	ADV
esrj-41988	72	9	forward	forward	ADV
esrj-41988	72	10	pass	pass	NOUN
esrj-41988	72	11	and	and	CCONJ
esrj-41988	72	12	backward	backward	ADJ
esrj-41988	72	13	pass	pass	NOUN
esrj-41988	72	14	.	.	PUNCT
esrj-41988	73	1	in	in	ADP
esrj-41988	73	2	the	the	DET
esrj-41988	73	3	forward	forward	ADJ
esrj-41988	73	4	pass	pass	NOUN
esrj-41988	73	5	,	,	PUNCT
esrj-41988	73	6	an	an	DET
esrj-41988	73	7	input	input	NOUN
esrj-41988	73	8	training	training	NOUN
esrj-41988	73	9	pattern	pattern	NOUN
esrj-41988	73	10	is	be	AUX
esrj-41988	73	11	shown	show	VERB
esrj-41988	73	12	to	to	ADP
esrj-41988	73	13	the	the	DET
esrj-41988	73	14	network	network	NOUN
esrj-41988	73	15	,	,	PUNCT
esrj-41988	73	16	and	and	CCONJ
esrj-41988	73	17	its	its	PRON
esrj-41988	73	18	effect	effect	NOUN
esrj-41988	73	19	propagates	propagate	VERB
esrj-41988	73	20	in	in	ADP
esrj-41988	73	21	the	the	DET
esrj-41988	73	22	network	network	NOUN
esrj-41988	73	23	layer	layer	NOUN
esrj-41988	73	24	by	by	ADP
esrj-41988	73	25	layer	layer	NOUN
esrj-41988	73	26	until	until	SCONJ
esrj-41988	73	27	the	the	DET
esrj-41988	73	28	output	output	NOUN
esrj-41988	73	29	of	of	ADP
esrj-41988	73	30	the	the	DET
esrj-41988	73	31	network	network	NOUN
esrj-41988	73	32	is	be	AUX
esrj-41988	73	33	obtained	obtain	VERB
esrj-41988	73	34	.	.	PUNCT
esrj-41988	74	1	in	in	ADP
esrj-41988	74	2	the	the	DET
esrj-41988	74	3	forward	forward	ADJ
esrj-41988	74	4	pass	pass	NOUN
esrj-41988	74	5	,	,	PUNCT
esrj-41988	74	6	the	the	DET
esrj-41988	74	7	error	error	NOUN
esrj-41988	74	8	between	between	ADP
esrj-41988	74	9	the	the	DET
esrj-41988	74	10	network	network	NOUN
esrj-41988	74	11	prediction	prediction	NOUN
esrj-41988	74	12	and	and	CCONJ
esrj-41988	74	13	the	the	DET
esrj-41988	74	14	target	target	NOUN
esrj-41988	74	15	value	value	NOUN
esrj-41988	74	16	is	be	AUX
esrj-41988	74	17	calculated	calculate	VERB
esrj-41988	74	18	and	and	CCONJ
esrj-41988	74	19	distributed	distribute	VERB
esrj-41988	74	20	;	;	PUNCT
esrj-41988	74	21	then	then	ADV
esrj-41988	74	22	,	,	PUNCT
esrj-41988	74	23	by	by	ADP
esrj-41988	74	24	means	mean	NOUN
esrj-41988	74	25	of	of	ADP
esrj-41988	74	26	a	a	DET
esrj-41988	74	27	technique	technique	NOUN
esrj-41988	74	28	called	call	VERB
esrj-41988	74	29	gradient	gradient	ADJ
esrj-41988	74	30	descent	descent	NOUN
esrj-41988	74	31	,	,	PUNCT
esrj-41988	74	32	it	it	PRON
esrj-41988	74	33	is	be	AUX
esrj-41988	74	34	propagated	propagate	VERB
esrj-41988	74	35	from	from	ADP
esrj-41988	74	36	the	the	DET
esrj-41988	74	37	output	output	NOUN
esrj-41988	74	38	layer	layer	NOUN
esrj-41988	74	39	to	to	ADP
esrj-41988	74	40	the	the	DET
esrj-41988	74	41	input	input	NOUN
esrj-41988	74	42	layer	layer	NOUN
esrj-41988	74	43	in	in	ADP
esrj-41988	74	44	order	order	NOUN
esrj-41988	74	45	to	to	PART
esrj-41988	74	46	reduce	reduce	VERB
esrj-41988	74	47	the	the	DET
esrj-41988	74	48	error	error	NOUN
esrj-41988	74	49	value	value	NOUN
esrj-41988	74	50	.	.	PUNCT
esrj-41988	75	1	this	this	DET
esrj-41988	75	2	process	process	NOUN
esrj-41988	75	3	is	be	AUX
esrj-41988	75	4	iterated	iterate	VERB
esrj-41988	75	5	,	,	PUNCT
esrj-41988	75	6	and	and	CCONJ
esrj-41988	75	7	the	the	DET
esrj-41988	75	8	weights	weight	NOUN
esrj-41988	75	9	are	be	AUX
esrj-41988	75	10	updated	update	VERB
esrj-41988	75	11	until	until	SCONJ
esrj-41988	75	12	the	the	DET
esrj-41988	75	13	summed	summed	ADJ
esrj-41988	75	14	square	square	NOUN
esrj-41988	75	15	of	of	ADP
esrj-41988	75	16	the	the	DET
esrj-41988	75	17	errors	error	NOUN
esrj-41988	75	18	comes	come	VERB
esrj-41988	75	19	below	below	ADP
esrj-41988	75	20	an	an	DET
esrj-41988	75	21	acceptable	acceptable	ADJ
esrj-41988	75	22	value	value	NOUN
esrj-41988	75	23	.	.	PUNCT
esrj-41988	76	1	to	to	PART
esrj-41988	76	2	enhance	enhance	VERB
esrj-41988	76	3	speed	speed	NOUN
esrj-41988	76	4	and	and	CCONJ
esrj-41988	76	5	performance	performance	NOUN
esrj-41988	76	6	of	of	ADP
esrj-41988	76	7	the	the	DET
esrj-41988	76	8	back	back	ADJ
esrj-41988	76	9	propagation	propagation	NOUN
esrj-41988	76	10	algorithm	algorithm	NOUN
esrj-41988	76	11	,	,	PUNCT
esrj-41988	76	12	levenberg	levenberg	PROPN
esrj-41988	76	13	-	-	PUNCT
esrj-41988	76	14	marquardt	marquardt	PROPN
esrj-41988	76	15	algorithm	algorithm	PROPN
esrj-41988	76	16	can	can	AUX
esrj-41988	76	17	be	be	AUX
esrj-41988	76	18	alternatively	alternatively	ADV
esrj-41988	76	19	used	use	VERB
esrj-41988	76	20	instead	instead	ADV
esrj-41988	76	21	of	of	ADP
esrj-41988	76	22	the	the	DET
esrj-41988	76	23	conventional	conventional	ADJ
esrj-41988	76	24	gradient	gradient	ADJ
esrj-41988	76	25	descent	descent	NOUN
esrj-41988	76	26	method	method	NOUN
esrj-41988	76	27	.	.	PUNCT
esrj-41988	77	1	i	i	PRON
esrj-41988	77	2	j	j	X
esrj-41988	78	1	=	=	SYM
esrj-41988	78	2	wji∑	wji∑	PROPN
esrj-41988	78	3	xi	xi	PROPN
esrj-41988	79	1	+	+	PROPN
esrj-41988	79	2	θ	θ	PROPN
esrj-41988	79	3	j	j	NOUN
esrj-41988	80	1	yi	yi	PROPN
esrj-41988	80	2	=	=	SYM
esrj-41988	80	3	f	f	PROPN
esrj-41988	80	4	(	(	PUNCT
esrj-41988	80	5	i	i	NOUN
esrj-41988	80	6	j	j	PROPN
esrj-41988	80	7	)	)	PUNCT
esrj-41988	81	1	167compression	167compression	PROPN
esrj-41988	81	2	ratio	ratio	NOUN
esrj-41988	81	3	of	of	ADP
esrj-41988	81	4	municipal	municipal	ADJ
esrj-41988	81	5	solid	solid	ADJ
esrj-41988	81	6	waste	waste	NOUN
esrj-41988	81	7	simulation	simulation	NOUN
esrj-41988	81	8	using	use	VERB
esrj-41988	81	9	artificial	artificial	ADJ
esrj-41988	81	10	neural	neural	ADJ
esrj-41988	81	11	network	network	NOUN
esrj-41988	81	12	and	and	CCONJ
esrj-41988	81	13	adaptive	adaptive	ADJ
esrj-41988	81	14	neurofuzzy	neurofuzzy	ADJ
esrj-41988	81	15	system	system	NOUN
esrj-41988	81	16	adaptive	adaptive	ADJ
esrj-41988	81	17	neuro	neuro	NOUN
esrj-41988	81	18	-	-	PUNCT
esrj-41988	81	19	fuzzy	fuzzy	ADJ
esrj-41988	81	20	inference	inference	NOUN
esrj-41988	81	21	system	system	NOUN
esrj-41988	81	22	(	(	PUNCT
esrj-41988	81	23	anfis	anfis	PROPN
esrj-41988	81	24	)	)	PUNCT
esrj-41988	81	25	neuro	neuro	NOUN
esrj-41988	81	26	-	-	PUNCT
esrj-41988	81	27	fuzzy	fuzzy	ADJ
esrj-41988	81	28	systems	system	NOUN
esrj-41988	81	29	are	be	AUX
esrj-41988	81	30	the	the	DET
esrj-41988	81	31	result	result	NOUN
esrj-41988	81	32	of	of	ADP
esrj-41988	81	33	the	the	DET
esrj-41988	81	34	integration	integration	NOUN
esrj-41988	81	35	of	of	ADP
esrj-41988	81	36	fuzzy	fuzzy	ADJ
esrj-41988	81	37	logics	logic	NOUN
esrj-41988	81	38	and	and	CCONJ
esrj-41988	81	39	artificial	artificial	ADJ
esrj-41988	81	40	neural	neural	ADJ
esrj-41988	81	41	networks	network	NOUN
esrj-41988	81	42	.	.	PUNCT
esrj-41988	82	1	so	so	ADV
esrj-41988	82	2	they	they	PRON
esrj-41988	82	3	benefit	benefit	VERB
esrj-41988	82	4	from	from	ADP
esrj-41988	82	5	the	the	DET
esrj-41988	82	6	advantages	advantage	NOUN
esrj-41988	82	7	of	of	ADP
esrj-41988	82	8	both	both	CCONJ
esrj-41988	82	9	fuzzy	fuzzy	ADJ
esrj-41988	82	10	systems	system	NOUN
esrj-41988	82	11	and	and	CCONJ
esrj-41988	82	12	neural	neural	ADJ
esrj-41988	82	13	networks	network	NOUN
esrj-41988	82	14	.	.	PUNCT
esrj-41988	83	1	in	in	ADP
esrj-41988	83	2	this	this	DET
esrj-41988	83	3	hybrid	hybrid	NOUN
esrj-41988	83	4	method	method	NOUN
esrj-41988	83	5	,	,	PUNCT
esrj-41988	83	6	the	the	DET
esrj-41988	83	7	fuzzy	fuzzy	ADJ
esrj-41988	83	8	system	system	NOUN
esrj-41988	83	9	provides	provide	VERB
esrj-41988	83	10	the	the	DET
esrj-41988	83	11	relation	relation	NOUN
esrj-41988	83	12	between	between	ADP
esrj-41988	83	13	input	input	NOUN
esrj-41988	83	14	and	and	CCONJ
esrj-41988	83	15	output	output	NOUN
esrj-41988	83	16	variables	variable	NOUN
esrj-41988	83	17	,	,	PUNCT
esrj-41988	83	18	while	while	SCONJ
esrj-41988	83	19	parameters	parameter	NOUN
esrj-41988	83	20	of	of	ADP
esrj-41988	83	21	membership	membership	NOUN
esrj-41988	83	22	functions	function	NOUN
esrj-41988	83	23	of	of	ADP
esrj-41988	83	24	the	the	DET
esrj-41988	83	25	fuzzy	fuzzy	ADJ
esrj-41988	83	26	system	system	NOUN
esrj-41988	83	27	are	be	AUX
esrj-41988	83	28	optimized	optimize	VERB
esrj-41988	83	29	by	by	ADP
esrj-41988	83	30	the	the	DET
esrj-41988	83	31	neural	neural	ADJ
esrj-41988	83	32	network	network	NOUN
esrj-41988	83	33	.	.	PUNCT
esrj-41988	84	1	one	one	NUM
esrj-41988	84	2	of	of	ADP
esrj-41988	84	3	the	the	DET
esrj-41988	84	4	well	well	ADV
esrj-41988	84	5	-	-	PUNCT
esrj-41988	84	6	known	know	VERB
esrj-41988	84	7	neuro	neuro	NOUN
esrj-41988	84	8	-	-	PUNCT
esrj-41988	84	9	fuzzy	fuzzy	ADJ
esrj-41988	84	10	models	model	NOUN
esrj-41988	84	11	is	be	AUX
esrj-41988	84	12	adaptive	adaptive	ADJ
esrj-41988	84	13	neuro	neuro	NOUN
esrj-41988	84	14	-	-	PUNCT
esrj-41988	84	15	fuzzy	fuzzy	ADJ
esrj-41988	84	16	inference	inference	NOUN
esrj-41988	84	17	system	system	NOUN
esrj-41988	84	18	(	(	PUNCT
esrj-41988	84	19	anfis	anfis	PROPN
esrj-41988	84	20	)	)	PUNCT
esrj-41988	84	21	which	which	PRON
esrj-41988	84	22	is	be	AUX
esrj-41988	84	23	capable	capable	ADJ
esrj-41988	84	24	of	of	ADP
esrj-41988	84	25	modeling	model	VERB
esrj-41988	84	26	any	any	DET
esrj-41988	84	27	nonlinear	nonlinear	ADJ
esrj-41988	84	28	function	function	NOUN
esrj-41988	84	29	with	with	ADP
esrj-41988	84	30	a	a	DET
esrj-41988	84	31	desirable	desirable	ADJ
esrj-41988	84	32	accuracy	accuracy	NOUN
esrj-41988	84	33	(	(	PUNCT
esrj-41988	84	34	jang	jang	PROPN
esrj-41988	84	35	et	et	PROPN
esrj-41988	84	36	al	al	PROPN
esrj-41988	84	37	.	.	PROPN
esrj-41988	84	38	,	,	PUNCT
esrj-41988	84	39	1997	1997	NUM
esrj-41988	84	40	)	)	PUNCT
esrj-41988	84	41	.	.	PUNCT
esrj-41988	85	1	anfis	anfis	PROPN
esrj-41988	85	2	uses	use	VERB
esrj-41988	85	3	a	a	DET
esrj-41988	85	4	feed	feed	NOUN
esrj-41988	85	5	forward	forward	ADV
esrj-41988	85	6	network	network	NOUN
esrj-41988	85	7	to	to	PART
esrj-41988	85	8	optimize	optimize	VERB
esrj-41988	85	9	the	the	DET
esrj-41988	85	10	parameters	parameter	NOUN
esrj-41988	85	11	of	of	ADP
esrj-41988	85	12	a	a	DET
esrj-41988	85	13	fuzzy	fuzzy	ADJ
esrj-41988	85	14	inference	inference	NOUN
esrj-41988	85	15	system	system	NOUN
esrj-41988	85	16	and	and	CCONJ
esrj-41988	85	17	perform	perform	VERB
esrj-41988	85	18	well	well	ADV
esrj-41988	85	19	on	on	ADP
esrj-41988	85	20	a	a	DET
esrj-41988	85	21	given	give	VERB
esrj-41988	85	22	task	task	NOUN
esrj-41988	85	23	.	.	PUNCT
esrj-41988	86	1	the	the	DET
esrj-41988	86	2	most	most	ADV
esrj-41988	86	3	common	common	ADJ
esrj-41988	86	4	fuzzy	fuzzy	ADJ
esrj-41988	86	5	inference	inference	NOUN
esrj-41988	86	6	system	system	NOUN
esrj-41988	86	7	with	with	ADP
esrj-41988	86	8	this	this	DET
esrj-41988	86	9	compatibility	compatibility	NOUN
esrj-41988	86	10	located	locate	VERB
esrj-41988	86	11	in	in	ADP
esrj-41988	86	12	an	an	DET
esrj-41988	86	13	adaptive	adaptive	ADJ
esrj-41988	86	14	network	network	NOUN
esrj-41988	86	15	is	be	AUX
esrj-41988	86	16	takagi	takagi	NOUN
esrj-41988	86	17	-	-	PUNCT
esrj-41988	86	18	sugeno	sugeno	NOUN
esrj-41988	86	19	fuzzy	fuzzy	ADJ
esrj-41988	86	20	system	system	NOUN
esrj-41988	86	21	.	.	PUNCT
esrj-41988	87	1	the	the	DET
esrj-41988	87	2	first	first	ADJ
esrj-41988	87	3	order	order	NOUN
esrj-41988	87	4	sugeno	sugeno	NOUN
esrj-41988	87	5	model	model	NOUN
esrj-41988	87	6	was	be	AUX
esrj-41988	87	7	adopted	adopt	VERB
esrj-41988	87	8	in	in	ADP
esrj-41988	87	9	this	this	DET
esrj-41988	87	10	study	study	NOUN
esrj-41988	87	11	as	as	SCONJ
esrj-41988	87	12	it	it	PRON
esrj-41988	87	13	is	be	AUX
esrj-41988	87	14	also	also	ADV
esrj-41988	87	15	extensively	extensively	ADV
esrj-41988	87	16	used	use	VERB
esrj-41988	87	17	in	in	ADP
esrj-41988	87	18	many	many	ADJ
esrj-41988	87	19	engineering	engineering	NOUN
esrj-41988	87	20	problems	problem	NOUN
esrj-41988	87	21	.	.	PUNCT
esrj-41988	88	1	an	an	DET
esrj-41988	88	2	example	example	NOUN
esrj-41988	88	3	of	of	ADP
esrj-41988	88	4	the	the	DET
esrj-41988	88	5	first	first	ADJ
esrj-41988	88	6	order	order	NOUN
esrj-41988	88	7	sugeno	sugeno	VERB
esrj-41988	88	8	fuzzy	fuzzy	ADJ
esrj-41988	88	9	inference	inference	NOUN
esrj-41988	88	10	system	system	NOUN
esrj-41988	88	11	with	with	ADP
esrj-41988	88	12	two	two	NUM
esrj-41988	88	13	inputs	input	NOUN
esrj-41988	88	14	,	,	PUNCT
esrj-41988	88	15	one	one	NUM
esrj-41988	88	16	output	output	NOUN
esrj-41988	88	17	and	and	CCONJ
esrj-41988	88	18	two	two	NUM
esrj-41988	88	19	membership	membership	NOUN
esrj-41988	88	20	functions	function	NOUN
esrj-41988	88	21	for	for	ADP
esrj-41988	88	22	each	each	PRON
esrj-41988	88	23	of	of	ADP
esrj-41988	88	24	the	the	DET
esrj-41988	88	25	inputs	input	NOUN
esrj-41988	88	26	is	be	AUX
esrj-41988	88	27	illustrated	illustrate	VERB
esrj-41988	88	28	in	in	ADP
esrj-41988	88	29	figure	figure	NOUN
esrj-41988	88	30	2(a	2(a	NUM
esrj-41988	88	31	)	)	PUNCT
esrj-41988	88	32	.	.	PUNCT
esrj-41988	89	1	two	two	NUM
esrj-41988	89	2	typical	typical	ADJ
esrj-41988	89	3	if	if	SCONJ
esrj-41988	89	4	-	-	PUNCT
esrj-41988	89	5	then	then	ADV
esrj-41988	89	6	rules	rule	NOUN
esrj-41988	89	7	can	can	AUX
esrj-41988	89	8	be	be	AUX
esrj-41988	89	9	stated	state	VERB
esrj-41988	89	10	for	for	ADP
esrj-41988	89	11	such	such	DET
esrj-41988	89	12	a	a	DET
esrj-41988	89	13	model	model	NOUN
esrj-41988	89	14	(	(	PUNCT
esrj-41988	89	15	sugeno	sugeno	NOUN
esrj-41988	89	16	and	and	CCONJ
esrj-41988	89	17	kang	kang	PROPN
esrj-41988	89	18	,	,	PUNCT
esrj-41988	89	19	1998	1998	NUM
esrj-41988	89	20	):	):	PUNCT
esrj-41988	89	21	(	(	PUNCT
esrj-41988	89	22	4	4	X
esrj-41988	89	23	)	)	PUNCT
esrj-41988	89	24	if	if	SCONJ
esrj-41988	89	25	x	x	X
esrj-41988	89	26	=	=	PUNCT
esrj-41988	89	27	a2and	a2and	NUM
esrj-41988	89	28	y	y	NOUN
esrj-41988	89	29	=	=	NOUN
esrj-41988	89	30	b2	b2	PROPN
esrj-41988	89	31	then	then	ADV
esrj-41988	89	32	f2(x	f2(x	PROPN
esrj-41988	89	33	,	,	PUNCT
esrj-41988	89	34	y	y	NOUN
esrj-41988	89	35	)	)	PUNCT
esrj-41988	89	36	=	=	SYM
esrj-41988	90	1	p2x	p2x	NOUN
esrj-41988	90	2	+	+	NOUN
esrj-41988	90	3	q2y+k2	q2y+k2	INTJ
esrj-41988	90	4	(	(	PUNCT
esrj-41988	90	5	5	5	NUM
esrj-41988	90	6	)	)	PUNCT
esrj-41988	90	7	where	where	SCONJ
esrj-41988	90	8	a1	a1	NOUN
esrj-41988	90	9	,	,	PUNCT
esrj-41988	90	10	a2	a2	PROPN
esrj-41988	90	11	,	,	PUNCT
esrj-41988	90	12	b1	b1	NOUN
esrj-41988	90	13	,	,	PUNCT
esrj-41988	90	14	and	and	CCONJ
esrj-41988	90	15	b2	b2	NOUN
esrj-41988	90	16	are	be	AUX
esrj-41988	90	17	the	the	DET
esrj-41988	90	18	membership	membership	NOUN
esrj-41988	90	19	functions	function	NOUN
esrj-41988	90	20	for	for	ADP
esrj-41988	90	21	inputs	input	NOUN
esrj-41988	90	22	x	x	PUNCT
esrj-41988	90	23	and	and	CCONJ
esrj-41988	90	24	y	y	PROPN
esrj-41988	90	25	,	,	PUNCT
esrj-41988	90	26	respectively	respectively	ADV
esrj-41988	90	27	,	,	PUNCT
esrj-41988	90	28	while	while	SCONJ
esrj-41988	90	29	k1	k1	NOUN
esrj-41988	90	30	,	,	PUNCT
esrj-41988	90	31	p1	p1	NOUN
esrj-41988	90	32	,	,	PUNCT
esrj-41988	90	33	q1	q1	NOUN
esrj-41988	90	34	and	and	CCONJ
esrj-41988	90	35	k2	k2	ADJ
esrj-41988	90	36	,	,	PUNCT
esrj-41988	90	37	p2	p2	NOUN
esrj-41988	90	38	,	,	PUNCT
esrj-41988	90	39	q2	q2	NOUN
esrj-41988	90	40	represent	represent	VERB
esrj-41988	90	41	the	the	DET
esrj-41988	90	42	parameters	parameter	NOUN
esrj-41988	90	43	of	of	ADP
esrj-41988	90	44	output	output	NOUN
esrj-41988	90	45	functions	function	NOUN
esrj-41988	90	46	for	for	ADP
esrj-41988	90	47	the	the	DET
esrj-41988	90	48	two	two	NUM
esrj-41988	90	49	defined	define	VERB
esrj-41988	90	50	rules	rule	NOUN
esrj-41988	90	51	.	.	PUNCT
esrj-41988	91	1	the	the	DET
esrj-41988	91	2	discussed	discuss	VERB
esrj-41988	91	3	architecture	architecture	NOUN
esrj-41988	91	4	of	of	ADP
esrj-41988	91	5	the	the	DET
esrj-41988	91	6	anfis	anfis	PROPN
esrj-41988	91	7	is	be	AUX
esrj-41988	91	8	also	also	ADV
esrj-41988	91	9	depicted	depict	VERB
esrj-41988	91	10	in	in	ADP
esrj-41988	91	11	figure	figure	NOUN
esrj-41988	91	12	2(b	2(b	NUM
esrj-41988	91	13	)	)	PUNCT
esrj-41988	91	14	.	.	PUNCT
esrj-41988	92	1	it	it	PRON
esrj-41988	92	2	can	can	AUX
esrj-41988	92	3	be	be	AUX
esrj-41988	92	4	seen	see	VERB
esrj-41988	92	5	that	that	SCONJ
esrj-41988	92	6	calculations	calculation	NOUN
esrj-41988	92	7	of	of	ADP
esrj-41988	92	8	the	the	DET
esrj-41988	92	9	anfis	anfis	ADJ
esrj-41988	92	10	model	model	NOUN
esrj-41988	92	11	are	be	AUX
esrj-41988	92	12	implemented	implement	VERB
esrj-41988	92	13	in	in	ADP
esrj-41988	92	14	five	five	NUM
esrj-41988	92	15	layers	layer	NOUN
esrj-41988	92	16	.	.	PUNCT
esrj-41988	93	1	the	the	DET
esrj-41988	93	2	detail	detail	NOUN
esrj-41988	93	3	and	and	CCONJ
esrj-41988	93	4	formulation	formulation	NOUN
esrj-41988	93	5	on	on	ADP
esrj-41988	93	6	anfis	anfis	PROPN
esrj-41988	93	7	are	be	AUX
esrj-41988	93	8	addressed	address	VERB
esrj-41988	93	9	by	by	ADP
esrj-41988	93	10	jang	jang	PROPN
esrj-41988	93	11	et	et	PROPN
esrj-41988	93	12	al	al	PROPN
esrj-41988	93	13	.	.	PROPN
esrj-41988	94	1	(	(	PUNCT
esrj-41988	94	2	1997	1997	NUM
esrj-41988	94	3	)	)	PUNCT
esrj-41988	94	4	.	.	PUNCT
esrj-41988	95	1	anfis	anfis	PROPN
esrj-41988	95	2	utilizes	utilize	VERB
esrj-41988	95	3	a	a	DET
esrj-41988	95	4	back	back	ADJ
esrj-41988	95	5	propagation	propagation	NOUN
esrj-41988	95	6	learning	learn	VERB
esrj-41988	95	7	algorithm	algorithm	NOUN
esrj-41988	95	8	or	or	CCONJ
esrj-41988	95	9	a	a	DET
esrj-41988	95	10	hybrid	hybrid	ADJ
esrj-41988	95	11	algorithm	algorithm	NOUN
esrj-41988	95	12	which	which	PRON
esrj-41988	95	13	is	be	AUX
esrj-41988	95	14	an	an	DET
esrj-41988	95	15	integration	integration	NOUN
esrj-41988	95	16	of	of	ADP
esrj-41988	95	17	back	back	ADJ
esrj-41988	95	18	propagation	propagation	NOUN
esrj-41988	95	19	and	and	CCONJ
esrj-41988	95	20	least	least	ADJ
esrj-41988	95	21	square	square	ADJ
esrj-41988	95	22	techniques	technique	NOUN
esrj-41988	95	23	in	in	ADP
esrj-41988	95	24	order	order	NOUN
esrj-41988	95	25	to	to	PART
esrj-41988	95	26	generate	generate	VERB
esrj-41988	95	27	fuzzy	fuzzy	ADJ
esrj-41988	95	28	rules	rule	NOUN
esrj-41988	95	29	and	and	CCONJ
esrj-41988	95	30	tune	tune	NOUN
esrj-41988	95	31	member	member	NOUN
esrj-41988	95	32	function	function	NOUN
esrj-41988	95	33	.	.	PUNCT
esrj-41988	96	1	fig	fig	NOUN
esrj-41988	96	2	.	.	PUNCT
esrj-41988	97	1	2	2	NUM
esrj-41988	97	2	(	(	PUNCT
esrj-41988	97	3	a	a	NOUN
esrj-41988	97	4	)	)	PUNCT
esrj-41988	97	5	the	the	DET
esrj-41988	97	6	first	first	ADJ
esrj-41988	97	7	order	order	NOUN
esrj-41988	97	8	sugeno	sugeno	VERB
esrj-41988	97	9	fuzzy	fuzzy	ADJ
esrj-41988	97	10	model	model	NOUN
esrj-41988	97	11	,	,	PUNCT
esrj-41988	97	12	(	(	PUNCT
esrj-41988	97	13	b	b	X
esrj-41988	97	14	)	)	PUNCT
esrj-41988	97	15	corresponding	corresponding	ADJ
esrj-41988	97	16	anfis	anfis	ADJ
esrj-41988	97	17	architecture	architecture	NOUN
esrj-41988	97	18	(	(	PUNCT
esrj-41988	97	19	padmini	padmini	NOUN
esrj-41988	97	20	et	et	PROPN
esrj-41988	97	21	al	al	PROPN
esrj-41988	97	22	.	.	PROPN
esrj-41988	97	23	,	,	PUNCT
esrj-41988	97	24	2008	2008	NUM
esrj-41988	97	25	)	)	PUNCT
esrj-41988	97	26	experimental	experimental	ADJ
esrj-41988	97	27	database	database	NOUN
esrj-41988	97	28	a	a	DET
esrj-41988	97	29	valid	valid	ADJ
esrj-41988	97	30	database	database	NOUN
esrj-41988	97	31	was	be	AUX
esrj-41988	97	32	used	use	VERB
esrj-41988	97	33	for	for	ADP
esrj-41988	97	34	modeling	modeling	NOUN
esrj-41988	97	35	.	.	PUNCT
esrj-41988	98	1	it	it	PRON
esrj-41988	98	2	included	include	VERB
esrj-41988	98	3	the	the	DET
esrj-41988	98	4	results	result	NOUN
esrj-41988	98	5	of	of	ADP
esrj-41988	98	6	64	64	NUM
esrj-41988	98	7	oedometer	oedometer	ADJ
esrj-41988	98	8	tests	test	NOUN
esrj-41988	98	9	on	on	ADP
esrj-41988	98	10	msw	msw	NOUN
esrj-41988	98	11	as	as	ADV
esrj-41988	98	12	well	well	ADV
esrj-41988	98	13	as	as	ADP
esrj-41988	98	14	information	information	NOUN
esrj-41988	98	15	related	relate	VERB
esrj-41988	98	16	to	to	ADP
esrj-41988	98	17	the	the	DET
esrj-41988	98	18	tested	test	VERB
esrj-41988	98	19	waste	waste	NOUN
esrj-41988	98	20	properties	property	NOUN
esrj-41988	98	21	such	such	ADJ
esrj-41988	98	22	as	as	ADP
esrj-41988	98	23	dry	dry	ADJ
esrj-41988	98	24	unit	unit	NOUN
esrj-41988	98	25	weight	weight	NOUN
esrj-41988	98	26	(	(	PUNCT
esrj-41988	98	27	γd	γd	ADV
esrj-41988	98	28	)	)	PUNCT
esrj-41988	98	29	,	,	PUNCT
esrj-41988	98	30	dry	dry	ADJ
esrj-41988	98	31	weight	weight	NOUN
esrj-41988	98	32	water	water	NOUN
esrj-41988	98	33	content	content	NOUN
esrj-41988	98	34	(	(	PUNCT
esrj-41988	98	35	ωd	ωd	NOUN
esrj-41988	98	36	)	)	PUNCT
esrj-41988	98	37	,	,	PUNCT
esrj-41988	98	38	and	and	CCONJ
esrj-41988	98	39	percentage	percentage	NOUN
esrj-41988	98	40	of	of	ADP
esrj-41988	98	41	biodegradable	biodegradable	ADJ
esrj-41988	98	42	organic	organic	ADJ
esrj-41988	98	43	materials	material	NOUN
esrj-41988	98	44	(	(	PUNCT
esrj-41988	98	45	om	om	PROPN
esrj-41988	98	46	)	)	PUNCT
esrj-41988	98	47	obtained	obtain	VERB
esrj-41988	98	48	in	in	ADP
esrj-41988	98	49	previous	previous	ADJ
esrj-41988	98	50	f	f	NOUN
esrj-41988	98	51	x	x	PUNCT
esrj-41988	98	52	=	=	PUNCT
esrj-41988	98	53	a1and	a1and	PROPN
esrj-41988	98	54	y	y	PROPN
esrj-41988	98	55	=	=	PUNCT
esrj-41988	98	56	b1	b1	PROPN
esrj-41988	98	57	then	then	ADV
esrj-41988	98	58	f1(x	f1(x	PROPN
esrj-41988	98	59	,	,	PUNCT
esrj-41988	98	60	y	y	NOUN
esrj-41988	98	61	)	)	PUNCT
esrj-41988	99	1	=	=	NOUN
esrj-41988	99	2	p1x	p1x	NOUN
esrj-41988	99	3	+	+	CCONJ
esrj-41988	99	4	q1y+k1	q1y+k1	ADJ
esrj-41988	99	5	studies	study	NOUN
esrj-41988	99	6	.	.	PUNCT
esrj-41988	100	1	a	a	DET
esrj-41988	100	2	considerable	considerable	ADJ
esrj-41988	100	3	part	part	NOUN
esrj-41988	100	4	of	of	ADP
esrj-41988	100	5	these	these	DET
esrj-41988	100	6	data	datum	NOUN
esrj-41988	100	7	and	and	CCONJ
esrj-41988	100	8	references	reference	NOUN
esrj-41988	100	9	cited	cite	VERB
esrj-41988	100	10	by	by	ADP
esrj-41988	100	11	bareither	bareither	PROPN
esrj-41988	100	12	et	et	PROPN
esrj-41988	100	13	al	al	PROPN
esrj-41988	100	14	.	.	PROPN
esrj-41988	101	1	(	(	PUNCT
esrj-41988	101	2	2012	2012	NUM
esrj-41988	101	3	)	)	PUNCT
esrj-41988	101	4	were	be	AUX
esrj-41988	101	5	combined	combine	VERB
esrj-41988	101	6	with	with	ADP
esrj-41988	101	7	the	the	DET
esrj-41988	101	8	data	datum	NOUN
esrj-41988	101	9	provided	provide	VERB
esrj-41988	101	10	by	by	ADP
esrj-41988	101	11	hyun	hyun	PROPN
esrj-41988	101	12	ii	ii	PROPN
esrj-41988	101	13	et	et	PROPN
esrj-41988	101	14	al	al	PROPN
esrj-41988	101	15	.	.	PROPN
esrj-41988	102	1	(	(	PUNCT
esrj-41988	102	2	2011	2011	NUM
esrj-41988	102	3	)	)	PUNCT
esrj-41988	102	4	,	,	PUNCT
esrj-41988	102	5	reddy	reddy	PROPN
esrj-41988	102	6	et	et	PROPN
esrj-41988	102	7	al	al	PROPN
esrj-41988	102	8	.	.	PROPN
esrj-41988	103	1	(	(	PUNCT
esrj-41988	103	2	2011	2011	NUM
esrj-41988	103	3	)	)	PUNCT
esrj-41988	103	4	,	,	PUNCT
esrj-41988	103	5	and	and	CCONJ
esrj-41988	103	6	karimpour	karimpour	NOUN
esrj-41988	103	7	-	-	PUNCT
esrj-41988	103	8	fard	fard	NOUN
esrj-41988	103	9	and	and	CCONJ
esrj-41988	103	10	machado	machado	PROPN
esrj-41988	103	11	(	(	PUNCT
esrj-41988	103	12	2012	2012	NUM
esrj-41988	103	13	)	)	PUNCT
esrj-41988	103	14	.	.	PUNCT
esrj-41988	104	1	the	the	DET
esrj-41988	104	2	employed	employ	VERB
esrj-41988	104	3	data	datum	NOUN
esrj-41988	104	4	are	be	AUX
esrj-41988	104	5	indicated	indicate	VERB
esrj-41988	104	6	in	in	ADP
esrj-41988	104	7	table	table	NOUN
esrj-41988	104	8	1	1	NUM
esrj-41988	104	9	.	.	PUNCT
esrj-41988	105	1	the	the	DET
esrj-41988	105	2	physical	physical	ADJ
esrj-41988	105	3	properties	property	NOUN
esrj-41988	105	4	of	of	ADP
esrj-41988	105	5	wastes	waste	NOUN
esrj-41988	105	6	(	(	PUNCT
esrj-41988	105	7	i.e	i.e	X
esrj-41988	105	8	ωd	ωd	ADJ
esrj-41988	105	9	,	,	PUNCT
esrj-41988	105	10	γd	γd	ADV
esrj-41988	105	11	,	,	PUNCT
esrj-41988	105	12	and	and	CCONJ
esrj-41988	105	13	om	om	NOUN
esrj-41988	105	14	)	)	PUNCT
esrj-41988	105	15	were	be	AUX
esrj-41988	105	16	used	use	VERB
esrj-41988	105	17	as	as	ADP
esrj-41988	105	18	the	the	DET
esrj-41988	105	19	input	input	NOUN
esrj-41988	105	20	parameters	parameter	NOUN
esrj-41988	105	21	and	and	CCONJ
esrj-41988	105	22	the	the	DET
esrj-41988	105	23	cc	cc	NOUN
esrj-41988	105	24	'	'	PUNCT
esrj-41988	105	25	as	as	ADP
esrj-41988	105	26	the	the	DET
esrj-41988	105	27	target	target	NOUN
esrj-41988	105	28	in	in	ADP
esrj-41988	105	29	the	the	DET
esrj-41988	105	30	anfis	anfis	PROPN
esrj-41988	105	31	and	and	CCONJ
esrj-41988	105	32	the	the	DET
esrj-41988	105	33	ann	ann	PROPN
esrj-41988	105	34	models	model	NOUN
esrj-41988	105	35	.	.	PUNCT
esrj-41988	106	1	table	table	NOUN
esrj-41988	106	2	1	1	NUM
esrj-41988	106	3	.	.	PUNCT
esrj-41988	107	1	the	the	DET
esrj-41988	107	2	sources	source	NOUN
esrj-41988	107	3	of	of	ADP
esrj-41988	107	4	the	the	DET
esrj-41988	107	5	database	database	NOUN
esrj-41988	107	6	reference	reference	NOUN
esrj-41988	107	7	no	no	INTJ
esrj-41988	107	8	.	.	PUNCT
esrj-41988	108	1	of	of	ADP
esrj-41988	108	2	oedometer	oedometer	ADJ
esrj-41988	108	3	test	test	NOUN
esrj-41988	108	4	beaven	beaven	NOUN
esrj-41988	108	5	and	and	CCONJ
esrj-41988	108	6	powrie	powrie	NOUN
esrj-41988	108	7	(	(	PUNCT
esrj-41988	108	8	1995	1995	NUM
esrj-41988	108	9	)	)	PUNCT
esrj-41988	108	10	5	5	NUM
esrj-41988	108	11	chen	chen	PROPN
esrj-41988	108	12	and	and	CCONJ
esrj-41988	108	13	lee	lee	PROPN
esrj-41988	108	14	(	(	PUNCT
esrj-41988	108	15	1995	1995	NUM
esrj-41988	108	16	)	)	PUNCT
esrj-41988	108	17	1	1	NUM
esrj-41988	108	18	gabr	gabr	NOUN
esrj-41988	108	19	and	and	CCONJ
esrj-41988	108	20	valero	valero	PROPN
esrj-41988	108	21	(	(	PUNCT
esrj-41988	108	22	1995	1995	NUM
esrj-41988	108	23	)	)	PUNCT
esrj-41988	108	24	6	6	NUM
esrj-41988	108	25	landva	landva	VERB
esrj-41988	108	26	et	et	PROPN
esrj-41988	108	27	al	al	PROPN
esrj-41988	108	28	.	.	PROPN
esrj-41988	109	1	(	(	PUNCT
esrj-41988	109	2	2000	2000	NUM
esrj-41988	109	3	)	)	PUNCT
esrj-41988	109	4	4	4	NUM
esrj-41988	109	5	olivier	olivier	NOUN
esrj-41988	109	6	and	and	CCONJ
esrj-41988	109	7	gourc	gourc	PROPN
esrj-41988	109	8	(	(	PUNCT
esrj-41988	109	9	2003	2003	NUM
esrj-41988	109	10	)	)	PUNCT
esrj-41988	109	11	1	1	NUM
esrj-41988	109	12	vilar	vilar	NOUN
esrj-41988	109	13	and	and	CCONJ
esrj-41988	109	14	carvaleho	carvaleho	PROPN
esrj-41988	109	15	(	(	PUNCT
esrj-41988	109	16	2004	2004	NUM
esrj-41988	109	17	)	)	PUNCT
esrj-41988	109	18	4	4	NUM
esrj-41988	109	19	olivier	olivier	NOUN
esrj-41988	109	20	and	and	CCONJ
esrj-41988	109	21	gourc	gourc	PROPN
esrj-41988	109	22	(	(	PUNCT
esrj-41988	109	23	2007	2007	NUM
esrj-41988	109	24	)	)	PUNCT
esrj-41988	109	25	2	2	NUM
esrj-41988	109	26	stoltz	stoltz	NOUN
esrj-41988	109	27	and	and	CCONJ
esrj-41988	109	28	gourc	gourc	PROPN
esrj-41988	109	29	(	(	PUNCT
esrj-41988	109	30	2007	2007	NUM
esrj-41988	109	31	)	)	PUNCT
esrj-41988	109	32	1	1	NUM
esrj-41988	109	33	chen	chen	PROPN
esrj-41988	109	34	et	et	PROPN
esrj-41988	109	35	al	al	PROPN
esrj-41988	109	36	.	.	PROPN
esrj-41988	109	37	(	(	PUNCT
esrj-41988	109	38	2009	2009	NUM
esrj-41988	109	39	)	)	PUNCT
esrj-41988	109	40	5	5	NUM
esrj-41988	109	41	reddy	reddy	PROPN
esrj-41988	109	42	et	et	PROPN
esrj-41988	109	43	al	al	PROPN
esrj-41988	109	44	.	.	PROPN
esrj-41988	109	45	(	(	PUNCT
esrj-41988	109	46	2009a	2009a	NUM
esrj-41988	109	47	)	)	PUNCT
esrj-41988	109	48	3	3	NUM
esrj-41988	109	49	reddy	reddy	PROPN
esrj-41988	109	50	et	et	PROPN
esrj-41988	109	51	al	al	PROPN
esrj-41988	109	52	.	.	PROPN
esrj-41988	109	53	(	(	PUNCT
esrj-41988	109	54	2009b	2009b	NUM
esrj-41988	109	55	)	)	PUNCT
esrj-41988	109	56	4	4	NUM
esrj-41988	109	57	reddy	reddy	PROPN
esrj-41988	109	58	et	et	PROPN
esrj-41988	109	59	al	al	PROPN
esrj-41988	109	60	.	.	PROPN
esrj-41988	109	61	(	(	PUNCT
esrj-41988	109	62	2009c	2009c	NUM
esrj-41988	109	63	)	)	PUNCT
esrj-41988	109	64	3	3	NUM
esrj-41988	109	65	reddy	reddy	PROPN
esrj-41988	109	66	et	et	PROPN
esrj-41988	109	67	al	al	PROPN
esrj-41988	109	68	.	.	PROPN
esrj-41988	109	69	(	(	PUNCT
esrj-41988	109	70	2011	2011	NUM
esrj-41988	109	71	)	)	PUNCT
esrj-41988	109	72	5	5	NUM
esrj-41988	109	73	chen	chen	PROPN
esrj-41988	109	74	et	et	PROPN
esrj-41988	109	75	al	al	PROPN
esrj-41988	109	76	.	.	PROPN
esrj-41988	109	77	(	(	PUNCT
esrj-41988	109	78	2010	2010	NUM
esrj-41988	109	79	)	)	PUNCT
esrj-41988	109	80	2	2	NUM
esrj-41988	109	81	stoltz	stoltz	PROPN
esrj-41988	109	82	et	et	PROPN
esrj-41988	109	83	al	al	PROPN
esrj-41988	109	84	.	.	PROPN
esrj-41988	109	85	(	(	PUNCT
esrj-41988	109	86	2010	2010	NUM
esrj-41988	109	87	)	)	PUNCT
esrj-41988	109	88	9	9	NUM
esrj-41988	109	89	breither	breither	NOUN
esrj-41988	109	90	et	et	PROPN
esrj-41988	109	91	al	al	PROPN
esrj-41988	109	92	.	.	PROPN
esrj-41988	109	93	(	(	PUNCT
esrj-41988	109	94	2011	2011	NUM
esrj-41988	109	95	)	)	PUNCT
esrj-41988	109	96	6	6	NUM
esrj-41988	109	97	hyun	hyun	PROPN
esrj-41988	109	98	ii	ii	PROPN
esrj-41988	109	99	et	et	PROPN
esrj-41988	109	100	al	al	PROPN
esrj-41988	109	101	.	.	PROPN
esrj-41988	109	102	(	(	PUNCT
esrj-41988	109	103	2011	2011	NUM
esrj-41988	109	104	)	)	PUNCT
esrj-41988	109	105	1	1	NUM
esrj-41988	109	106	karimpourfard	karimpourfard	NOUN
esrj-41988	109	107	and	and	CCONJ
esrj-41988	109	108	machado	machado	PROPN
esrj-41988	109	109	(	(	PUNCT
esrj-41988	109	110	2012	2012	NUM
esrj-41988	109	111	)	)	PUNCT
esrj-41988	109	112	2	2	NUM
esrj-41988	109	113	in	in	ADP
esrj-41988	109	114	order	order	NOUN
esrj-41988	109	115	to	to	PART
esrj-41988	109	116	simulate	simulate	VERB
esrj-41988	109	117	the	the	DET
esrj-41988	109	118	compression	compression	NOUN
esrj-41988	109	119	ratio	ratio	NOUN
esrj-41988	109	120	,	,	PUNCT
esrj-41988	109	121	the	the	DET
esrj-41988	109	122	database	database	NOUN
esrj-41988	109	123	was	be	AUX
esrj-41988	109	124	randomly	randomly	ADV
esrj-41988	109	125	divided	divide	VERB
esrj-41988	109	126	into	into	ADP
esrj-41988	109	127	two	two	NUM
esrj-41988	109	128	subsets	subset	NOUN
esrj-41988	109	129	,	,	PUNCT
esrj-41988	109	130	training	training	NOUN
esrj-41988	109	131	and	and	CCONJ
esrj-41988	109	132	testing	testing	NOUN
esrj-41988	109	133	subsets	subset	NOUN
esrj-41988	109	134	.	.	PUNCT
esrj-41988	110	1	the	the	DET
esrj-41988	110	2	training	training	NOUN
esrj-41988	110	3	subset	subset	NOUN
esrj-41988	110	4	was	be	AUX
esrj-41988	110	5	used	use	VERB
esrj-41988	110	6	to	to	PART
esrj-41988	110	7	calibrate	calibrate	VERB
esrj-41988	110	8	the	the	DET
esrj-41988	110	9	models	model	NOUN
esrj-41988	110	10	,	,	PUNCT
esrj-41988	110	11	and	and	CCONJ
esrj-41988	110	12	the	the	DET
esrj-41988	110	13	testing	testing	NOUN
esrj-41988	110	14	subset	subset	NOUN
esrj-41988	110	15	was	be	AUX
esrj-41988	110	16	used	use	VERB
esrj-41988	110	17	for	for	ADP
esrj-41988	110	18	validation	validation	NOUN
esrj-41988	110	19	of	of	ADP
esrj-41988	110	20	the	the	DET
esrj-41988	110	21	developed	develop	VERB
esrj-41988	110	22	models	model	NOUN
esrj-41988	110	23	based	base	VERB
esrj-41988	110	24	on	on	ADP
esrj-41988	110	25	the	the	DET
esrj-41988	110	26	training	training	NOUN
esrj-41988	110	27	subset	subset	NOUN
esrj-41988	110	28	.	.	PUNCT
esrj-41988	111	1	the	the	DET
esrj-41988	111	2	selection	selection	NOUN
esrj-41988	111	3	was	be	AUX
esrj-41988	111	4	such	such	ADJ
esrj-41988	111	5	that	that	SCONJ
esrj-41988	111	6	the	the	DET
esrj-41988	111	7	maximum	maximum	ADJ
esrj-41988	111	8	,	,	PUNCT
esrj-41988	111	9	minimum	minimum	ADJ
esrj-41988	111	10	,	,	PUNCT
esrj-41988	111	11	and	and	CCONJ
esrj-41988	111	12	mean	mean	ADJ
esrj-41988	111	13	value	value	NOUN
esrj-41988	111	14	as	as	ADV
esrj-41988	111	15	well	well	ADV
esrj-41988	111	16	as	as	ADP
esrj-41988	111	17	the	the	DET
esrj-41988	111	18	standard	standard	ADJ
esrj-41988	111	19	deviation	deviation	NOUN
esrj-41988	111	20	of	of	ADP
esrj-41988	111	21	the	the	DET
esrj-41988	111	22	parameters	parameter	NOUN
esrj-41988	111	23	got	get	VERB
esrj-41988	111	24	to	to	PART
esrj-41988	111	25	be	be	AUX
esrj-41988	111	26	close	close	ADJ
esrj-41988	111	27	to	to	ADP
esrj-41988	111	28	each	each	DET
esrj-41988	111	29	other	other	ADJ
esrj-41988	111	30	in	in	ADP
esrj-41988	111	31	the	the	DET
esrj-41988	111	32	training	training	NOUN
esrj-41988	111	33	and	and	CCONJ
esrj-41988	111	34	the	the	DET
esrj-41988	111	35	testing	testing	NOUN
esrj-41988	111	36	of	of	ADP
esrj-41988	111	37	the	the	DET
esrj-41988	111	38	subsets	subset	NOUN
esrj-41988	111	39	.	.	PUNCT
esrj-41988	112	1	eighty	eighty	NUM
esrj-41988	112	2	percent	percent	NOUN
esrj-41988	112	3	of	of	ADP
esrj-41988	112	4	the	the	DET
esrj-41988	112	5	data	datum	NOUN
esrj-41988	112	6	(	(	PUNCT
esrj-41988	112	7	51	51	NUM
esrj-41988	112	8	cases	case	NOUN
esrj-41988	112	9	)	)	PUNCT
esrj-41988	112	10	were	be	AUX
esrj-41988	112	11	assigned	assign	VERB
esrj-41988	112	12	for	for	ADP
esrj-41988	112	13	the	the	DET
esrj-41988	112	14	training	training	NOUN
esrj-41988	112	15	subset	subset	NOUN
esrj-41988	112	16	and	and	CCONJ
esrj-41988	112	17	twenty	twenty	NUM
esrj-41988	112	18	percent	percent	NOUN
esrj-41988	112	19	(	(	PUNCT
esrj-41988	112	20	13	13	NUM
esrj-41988	112	21	cases	case	NOUN
esrj-41988	112	22	)	)	PUNCT
esrj-41988	112	23	for	for	ADP
esrj-41988	112	24	the	the	DET
esrj-41988	112	25	testing	testing	NOUN
esrj-41988	112	26	subset	subset	NOUN
esrj-41988	112	27	.	.	PUNCT
esrj-41988	113	1	to	to	PART
esrj-41988	113	2	control	control	VERB
esrj-41988	113	3	network	network	NOUN
esrj-41988	113	4	overtraining	overtraining	NOUN
esrj-41988	113	5	and	and	CCONJ
esrj-41988	113	6	over	over	ADV
esrj-41988	113	7	-	-	PUNCT
esrj-41988	113	8	fitting	fitting	ADJ
esrj-41988	113	9	,	,	PUNCT
esrj-41988	113	10	the	the	DET
esrj-41988	113	11	training	training	NOUN
esrj-41988	113	12	set	set	NOUN
esrj-41988	113	13	was	be	AUX
esrj-41988	113	14	divided	divide	VERB
esrj-41988	113	15	into	into	ADP
esrj-41988	113	16	two	two	NUM
esrj-41988	113	17	subsets	subset	NOUN
esrj-41988	113	18	:	:	PUNCT
esrj-41988	113	19	training	training	NOUN
esrj-41988	113	20	and	and	CCONJ
esrj-41988	113	21	cross	cross	VERB
esrj-41988	113	22	validation	validation	NOUN
esrj-41988	113	23	.	.	PUNCT
esrj-41988	114	1	the	the	DET
esrj-41988	114	2	use	use	NOUN
esrj-41988	114	3	of	of	ADP
esrj-41988	114	4	about	about	ADV
esrj-41988	114	5	10	10	NUM
esrj-41988	114	6	%	%	NOUN
esrj-41988	114	7	of	of	ADP
esrj-41988	114	8	the	the	DET
esrj-41988	114	9	training	training	NOUN
esrj-41988	114	10	data	datum	NOUN
esrj-41988	114	11	as	as	ADP
esrj-41988	114	12	a	a	DET
esrj-41988	114	13	cross	cross	NOUN
esrj-41988	114	14	validation	validation	NOUN
esrj-41988	114	15	set	set	NOUN
esrj-41988	114	16	has	have	AUX
esrj-41988	114	17	been	be	AUX
esrj-41988	114	18	suggested	suggest	VERB
esrj-41988	114	19	by	by	ADP
esrj-41988	114	20	researchers	researcher	NOUN
esrj-41988	114	21	(	(	PUNCT
esrj-41988	114	22	kucuk	kucuk	NOUN
esrj-41988	114	23	2008	2008	NUM
esrj-41988	114	24	)	)	PUNCT
esrj-41988	114	25	.	.	PUNCT
esrj-41988	115	1	as	as	ADP
esrj-41988	115	2	a	a	DET
esrj-41988	115	3	result	result	NOUN
esrj-41988	115	4	,	,	PUNCT
esrj-41988	115	5	in	in	ADP
esrj-41988	115	6	this	this	DET
esrj-41988	115	7	study	study	NOUN
esrj-41988	115	8	,	,	PUNCT
esrj-41988	115	9	10	10	NUM
esrj-41988	115	10	%	%	NOUN
esrj-41988	115	11	of	of	ADP
esrj-41988	115	12	the	the	DET
esrj-41988	115	13	training	training	NOUN
esrj-41988	115	14	subset	subset	NOUN
esrj-41988	115	15	was	be	AUX
esrj-41988	115	16	randomly	randomly	ADV
esrj-41988	115	17	taken	take	VERB
esrj-41988	115	18	and	and	CCONJ
esrj-41988	115	19	used	use	VERB
esrj-41988	115	20	for	for	ADP
esrj-41988	115	21	cross	cross	NOUN
esrj-41988	115	22	validation	validation	NOUN
esrj-41988	115	23	.	.	PUNCT
esrj-41988	116	1	the	the	DET
esrj-41988	116	2	statistical	statistical	ADJ
esrj-41988	116	3	properties	property	NOUN
esrj-41988	116	4	of	of	ADP
esrj-41988	116	5	the	the	DET
esrj-41988	116	6	divided	divide	VERB
esrj-41988	116	7	subsets	subset	NOUN
esrj-41988	116	8	are	be	AUX
esrj-41988	116	9	summarized	summarize	VERB
esrj-41988	116	10	in	in	ADP
esrj-41988	116	11	table	table	NOUN
esrj-41988	116	12	2	2	NUM
esrj-41988	116	13	.	.	SYM
esrj-41988	116	14	168	168	NUM
esrj-41988	116	15	ali	ali	NOUN
esrj-41988	116	16	akbar	akbar	PROPN
esrj-41988	116	17	heshmati	heshmati	PROPN
esrj-41988	116	18	r	r	PROPN
esrj-41988	116	19	,	,	PUNCT
esrj-41988	116	20	maryam	maryam	PROPN
esrj-41988	116	21	mokhtari	mokhtari	PROPN
esrj-41988	116	22	,	,	PUNCT
esrj-41988	116	23	nader	nader	NOUN
esrj-41988	116	24	shariatmadari	shariatmadari	PROPN
esrj-41988	116	25	table	table	VERB
esrj-41988	116	26	2	2	NUM
esrj-41988	116	27	.	.	PUNCT
esrj-41988	116	28	statistical	statistical	ADJ
esrj-41988	116	29	properties	property	NOUN
esrj-41988	116	30	of	of	ADP
esrj-41988	116	31	the	the	DET
esrj-41988	116	32	training	training	NOUN
esrj-41988	116	33	and	and	CCONJ
esrj-41988	116	34	testing	testing	NOUN
esrj-41988	116	35	sets	set	NOUN
esrj-41988	116	36	parameter	parameter	PROPN
esrj-41988	116	37	statistics	statistic	NOUN
esrj-41988	116	38	training	training	NOUN
esrj-41988	116	39	data	datum	NOUN
esrj-41988	116	40	testing	testing	NOUN
esrj-41988	116	41	data	datum	NOUN
esrj-41988	117	1	d	d	NOUN
esrj-41988	117	2	(	(	PUNCT
esrj-41988	117	3	%	%	INTJ
esrj-41988	117	4	)	)	PUNCT
esrj-41988	117	5	ω	ω	PROPN
esrj-41988	117	6	max	max	PROPN
esrj-41988	117	7	151.00	151.00	NUM
esrj-41988	117	8	135.00	135.00	NUM
esrj-41988	117	9	mean	mean	NOUN
esrj-41988	118	1	71.02	71.02	NUM
esrj-41988	118	2	73.79	73.79	NUM
esrj-41988	118	3	min	min	NOUN
esrj-41988	118	4	15.60	15.60	NUM
esrj-41988	118	5	31.30	31.30	NUM
esrj-41988	118	6	std	std	NOUN
esrj-41988	118	7	dev	dev	NOUN
esrj-41988	118	8	33.72	33.72	NUM
esrj-41988	118	9	34.59	34.59	NUM
esrj-41988	118	10	γd	γd	ADP
esrj-41988	118	11	(	(	PUNCT
esrj-41988	118	12	kn/	kn/	PROPN
esrj-41988	118	13	m3	m3	PROPN
esrj-41988	118	14	)	)	PUNCT
esrj-41988	118	15	max	max	PROPN
esrj-41988	118	16	12.50	12.50	NUM
esrj-41988	118	17	9.14	9.14	NUM
esrj-41988	118	18	mean	mean	NOUN
esrj-41988	118	19	5.48	5.48	NUM
esrj-41988	118	20	5.85	5.85	NUM
esrj-41988	118	21	min	min	NOUN
esrj-41988	118	22	2.45	2.45	NUM
esrj-41988	118	23	1.86	1.86	NUM
esrj-41988	118	24	std	std	NOUN
esrj-41988	118	25	dev	dev	NOUN
esrj-41988	118	26	1.86	1.86	NUM
esrj-41988	118	27	2.18	2.18	NUM
esrj-41988	118	28	om	om	PROPN
esrj-41988	118	29	(	(	PUNCT
esrj-41988	118	30	%	%	NOUN
esrj-41988	118	31	)	)	PUNCT
esrj-41988	118	32	max	max	PROPN
esrj-41988	118	33	60.00	60.00	NUM
esrj-41988	118	34	60.00	60.00	NUM
esrj-41988	118	35	mean	mean	NOUN
esrj-41988	118	36	32.91	32.91	NUM
esrj-41988	118	37	34.12	34.12	NUM
esrj-41988	118	38	min	min	NOUN
esrj-41988	118	39	0.49	0.49	NUM
esrj-41988	118	40	2.00	2.00	NUM
esrj-41988	118	41	std	std	NOUN
esrj-41988	118	42	dev	dev	NOUN
esrj-41988	118	43	19.79	19.79	NUM
esrj-41988	118	44	20.03	20.03	NUM
esrj-41988	118	45	c’c	c’c	PROPN
esrj-41988	118	46	max	max	NOUN
esrj-41988	118	47	0.39	0.39	NUM
esrj-41988	118	48	0.34	0.34	NUM
esrj-41988	118	49	mean	mean	NOUN
esrj-41988	118	50	0.24	0.24	NUM
esrj-41988	118	51	0.21	0.21	NUM
esrj-41988	118	52	min	min	NOUN
esrj-41988	118	53	0.09	0.09	NUM
esrj-41988	118	54	0.14	0.14	NUM
esrj-41988	118	55	std	std	NOUN
esrj-41988	118	56	dev	dev	NOUN
esrj-41988	118	57	0.06	0.06	NUM
esrj-41988	118	58	0.07	0.07	NUM
esrj-41988	118	59	performance	performance	NOUN
esrj-41988	118	60	measures	measure	NOUN
esrj-41988	118	61	various	various	ADJ
esrj-41988	118	62	statistical	statistical	ADJ
esrj-41988	118	63	parameters	parameter	NOUN
esrj-41988	118	64	including	include	VERB
esrj-41988	118	65	correlation	correlation	NOUN
esrj-41988	118	66	coefficient	coefficient	NOUN
esrj-41988	118	67	(	(	PUNCT
esrj-41988	118	68	r	r	NOUN
esrj-41988	118	69	)	)	PUNCT
esrj-41988	118	70	,	,	PUNCT
esrj-41988	118	71	root	root	NOUN
esrj-41988	118	72	mean	mean	VERB
esrj-41988	118	73	squared	square	VERB
esrj-41988	118	74	error	error	NOUN
esrj-41988	118	75	(	(	PUNCT
esrj-41988	118	76	rmse	rmse	NOUN
esrj-41988	118	77	)	)	PUNCT
esrj-41988	118	78	,	,	PUNCT
esrj-41988	118	79	and	and	CCONJ
esrj-41988	118	80	mean	mean	VERB
esrj-41988	118	81	absolute	absolute	ADJ
esrj-41988	118	82	error	error	NOUN
esrj-41988	118	83	(	(	PUNCT
esrj-41988	118	84	mae	mae	PROPN
esrj-41988	118	85	)	)	PUNCT
esrj-41988	118	86	were	be	AUX
esrj-41988	118	87	investigated	investigate	VERB
esrj-41988	118	88	in	in	ADP
esrj-41988	118	89	order	order	NOUN
esrj-41988	118	90	to	to	PART
esrj-41988	118	91	evaluate	evaluate	VERB
esrj-41988	118	92	the	the	DET
esrj-41988	118	93	efficiency	efficiency	NOUN
esrj-41988	118	94	and	and	CCONJ
esrj-41988	118	95	accuracy	accuracy	NOUN
esrj-41988	118	96	of	of	ADP
esrj-41988	118	97	the	the	DET
esrj-41988	118	98	proposed	propose	VERB
esrj-41988	118	99	models	model	NOUN
esrj-41988	118	100	.	.	PUNCT
esrj-41988	119	1	these	these	DET
esrj-41988	119	2	parameters	parameter	NOUN
esrj-41988	119	3	are	be	AUX
esrj-41988	119	4	defined	define	VERB
esrj-41988	119	5	as	as	ADP
esrj-41988	119	6	:	:	PUNCT
esrj-41988	119	7	(	(	PUNCT
esrj-41988	119	8	6	6	NUM
esrj-41988	119	9	)	)	PUNCT
esrj-41988	119	10	(	(	PUNCT
esrj-41988	119	11	7	7	NUM
esrj-41988	119	12	)	)	PUNCT
esrj-41988	119	13	(	(	PUNCT
esrj-41988	119	14	8)	8)	NUM
esrj-41988	119	15	in	in	ADP
esrj-41988	119	16	equations	equation	NOUN
esrj-41988	119	17	(	(	PUNCT
esrj-41988	119	18	6	6	NUM
esrj-41988	119	19	)	)	PUNCT
esrj-41988	119	20	,	,	PUNCT
esrj-41988	119	21	(	(	PUNCT
esrj-41988	119	22	7	7	X
esrj-41988	119	23	)	)	PUNCT
esrj-41988	119	24	and	and	CCONJ
esrj-41988	119	25	(	(	PUNCT
esrj-41988	119	26	8)	8)	NUM
esrj-41988	119	27	,	,	PUNCT
esrj-41988	119	28	n	n	PRON
esrj-41988	119	29	is	be	AUX
esrj-41988	119	30	the	the	DET
esrj-41988	119	31	number	number	NOUN
esrj-41988	119	32	of	of	ADP
esrj-41988	119	33	the	the	DET
esrj-41988	119	34	data	data	PROPN
esrj-41988	119	35	,	,	PUNCT
esrj-41988	119	36	mi	mi	PROPN
esrj-41988	119	37	and	and	CCONJ
esrj-41988	119	38	pi	pi	PROPN
esrj-41988	119	39	display	display	NOUN
esrj-41988	119	40	the	the	DET
esrj-41988	119	41	measured	measure	VERB
esrj-41988	119	42	and	and	CCONJ
esrj-41988	119	43	predicted	predict	VERB
esrj-41988	119	44	values	value	NOUN
esrj-41988	119	45	,	,	PUNCT
esrj-41988	119	46	respectively	respectively	ADV
esrj-41988	119	47	.	.	PUNCT
esrj-41988	120	1	also	also	ADV
esrj-41988	120	2	,	,	PUNCT
esrj-41988	120	3	m	m	VERB
esrj-41988	120	4	and	and	CCONJ
esrj-41988	120	5	pare	pare	VERB
esrj-41988	120	6	the	the	DET
esrj-41988	120	7	mean	mean	ADJ
esrj-41988	120	8	values	value	NOUN
esrj-41988	120	9	corresponding	correspond	VERB
esrj-41988	120	10	to	to	ADP
esrj-41988	120	11	the	the	DET
esrj-41988	120	12	measured	measure	VERB
esrj-41988	120	13	and	and	CCONJ
esrj-41988	120	14	predicted	predict	VERB
esrj-41988	120	15	values	value	NOUN
esrj-41988	120	16	,	,	PUNCT
esrj-41988	120	17	respectively	respectively	ADV
esrj-41988	120	18	.	.	PUNCT
esrj-41988	121	1	development	development	NOUN
esrj-41988	121	2	of	of	ADP
esrj-41988	121	3	ann	ann	PROPN
esrj-41988	121	4	model	model	NOUN
esrj-41988	121	5	as	as	ADP
esrj-41988	121	6	the	the	DET
esrj-41988	121	7	topology	topology	NOUN
esrj-41988	121	8	of	of	ADP
esrj-41988	121	9	a	a	DET
esrj-41988	121	10	network	network	NOUN
esrj-41988	121	11	directly	directly	ADV
esrj-41988	121	12	influences	influence	VERB
esrj-41988	121	13	its	its	PRON
esrj-41988	121	14	computational	computational	ADJ
esrj-41988	121	15	complexity	complexity	NOUN
esrj-41988	121	16	and	and	CCONJ
esrj-41988	121	17	generalization	generalization	NOUN
esrj-41988	121	18	capability	capability	NOUN
esrj-41988	121	19	,	,	PUNCT
esrj-41988	121	20	it	it	PRON
esrj-41988	121	21	is	be	AUX
esrj-41988	121	22	important	important	ADJ
esrj-41988	121	23	to	to	PART
esrj-41988	121	24	devise	devise	VERB
esrj-41988	121	25	appropriate	appropriate	ADJ
esrj-41988	121	26	network	network	NOUN
esrj-41988	121	27	architecture	architecture	NOUN
esrj-41988	121	28	in	in	ADP
esrj-41988	121	29	neural	neural	ADJ
esrj-41988	121	30	network	network	NOUN
esrj-41988	121	31	modeling	modeling	NOUN
esrj-41988	121	32	.	.	PUNCT
esrj-41988	122	1	this	this	PRON
esrj-41988	122	2	needs	need	VERB
esrj-41988	122	3	determination	determination	NOUN
esrj-41988	122	4	of	of	ADP
esrj-41988	122	5	the	the	DET
esrj-41988	122	6	number	number	NOUN
esrj-41988	122	7	of	of	ADP
esrj-41988	122	8	hidden	hide	VERB
esrj-41988	122	9	layers	layer	NOUN
esrj-41988	122	10	and	and	CCONJ
esrj-41988	122	11	the	the	DET
esrj-41988	122	12	number	number	NOUN
esrj-41988	122	13	of	of	ADP
esrj-41988	122	14	neurons	neuron	NOUN
esrj-41988	122	15	in	in	ADP
esrj-41988	122	16	each	each	DET
esrj-41988	122	17	layer	layer	NOUN
esrj-41988	122	18	.	.	PUNCT
esrj-41988	123	1	theoretical	theoretical	ADJ
esrj-41988	123	2	works	work	NOUN
esrj-41988	123	3	have	have	AUX
esrj-41988	123	4	revealed	reveal	VERB
esrj-41988	123	5	that	that	SCONJ
esrj-41988	123	6	a	a	DET
esrj-41988	123	7	multilayer	multilayer	NOUN
esrj-41988	123	8	feed	feed	NOUN
esrj-41988	123	9	forward	forward	ADV
esrj-41988	123	10	network	network	NOUN
esrj-41988	123	11	with	with	ADP
esrj-41988	123	12	one	one	NUM
esrj-41988	123	13	hidden	hide	VERB
esrj-41988	123	14	layer	layer	NOUN
esrj-41988	123	15	is	be	AUX
esrj-41988	123	16	able	able	ADJ
esrj-41988	123	17	to	to	PART
esrj-41988	123	18	approximate	approximate	VERB
esrj-41988	123	19	any	any	DET
esrj-41988	123	20	continuous	continuous	ADJ
esrj-41988	123	21	and	and	CCONJ
esrj-41988	123	22	complex	complex	ADJ
esrj-41988	123	23	nonlinear	nonlinear	ADJ
esrj-41988	123	24	function	function	NOUN
esrj-41988	123	25	with	with	ADP
esrj-41988	123	26	the	the	DET
esrj-41988	123	27	desired	desire	VERB
esrj-41988	123	28	degree	degree	NOUN
esrj-41988	123	29	of	of	ADP
esrj-41988	123	30	accuracy	accuracy	NOUN
esrj-41988	123	31	(	(	PUNCT
esrj-41988	123	32	hornik	hornik	X
esrj-41988	123	33	et	et	PROPN
esrj-41988	123	34	al	al	PROPN
esrj-41988	123	35	.	.	PROPN
esrj-41988	123	36	,	,	PUNCT
esrj-41988	123	37	1989	1989	NUM
esrj-41988	123	38	)	)	PUNCT
esrj-41988	123	39	.	.	PUNCT
esrj-41988	124	1	consequently	consequently	ADV
esrj-41988	124	2	,	,	PUNCT
esrj-41988	124	3	one	one	NUM
esrj-41988	124	4	hidden	hide	VERB
esrj-41988	124	5	layer	layer	NOUN
esrj-41988	124	6	was	be	AUX
esrj-41988	124	7	used	use	VERB
esrj-41988	124	8	in	in	ADP
esrj-41988	124	9	this	this	DET
esrj-41988	124	10	study	study	NOUN
esrj-41988	124	11	.	.	PUNCT
esrj-41988	125	1	the	the	DET
esrj-41988	125	2	number	number	NOUN
esrj-41988	125	3	of	of	ADP
esrj-41988	125	4	neurons	neuron	NOUN
esrj-41988	125	5	in	in	ADP
esrj-41988	125	6	the	the	DET
esrj-41988	125	7	input	input	NOUN
esrj-41988	125	8	and	and	CCONJ
esrj-41988	125	9	output	output	NOUN
esrj-41988	125	10	layers	layer	NOUN
esrj-41988	125	11	is	be	AUX
esrj-41988	125	12	dependent	dependent	ADJ
esrj-41988	125	13	on	on	ADP
esrj-41988	125	14	the	the	DET
esrj-41988	125	15	number	number	NOUN
esrj-41988	125	16	of	of	ADP
esrj-41988	125	17	model	model	NOUN
esrj-41988	125	18	inputs	input	NOUN
esrj-41988	125	19	and	and	CCONJ
esrj-41988	125	20	outputs	output	NOUN
esrj-41988	125	21	.	.	PUNCT
esrj-41988	126	1	the	the	DET
esrj-41988	126	2	input	input	NOUN
esrj-41988	126	3	layer	layer	NOUN
esrj-41988	126	4	of	of	ADP
esrj-41988	126	5	the	the	DET
esrj-41988	126	6	ann	ann	PROPN
esrj-41988	126	7	model	model	NOUN
esrj-41988	126	8	,	,	PUNCT
esrj-41988	126	9	developed	develop	VERB
esrj-41988	126	10	in	in	ADP
esrj-41988	126	11	this	this	DET
esrj-41988	126	12	study	study	NOUN
esrj-41988	126	13	,	,	PUNCT
esrj-41988	126	14	has	have	VERB
esrj-41988	126	15	tree	tree	NOUN
esrj-41988	126	16	neurons	neuron	NOUN
esrj-41988	126	17	,	,	PUNCT
esrj-41988	126	18	including	include	VERB
esrj-41988	126	19	one	one	NUM
esrj-41988	126	20	for	for	ADP
esrj-41988	126	21	each	each	DET
esrj-41988	126	22	input	input	NOUN
esrj-41988	126	23	.	.	PUNCT
esrj-41988	127	1	the	the	DET
esrj-41988	127	2	output	output	NOUN
esrj-41988	127	3	layer	layer	NOUN
esrj-41988	127	4	has	have	VERB
esrj-41988	127	5	only	only	ADV
esrj-41988	127	6	one	one	NUM
esrj-41988	127	7	neuron	neuron	NOUN
esrj-41988	127	8	representing	represent	VERB
esrj-41988	127	9	the	the	DET
esrj-41988	127	10	measured	measured	ADJ
esrj-41988	127	11	value	value	NOUN
esrj-41988	127	12	of	of	ADP
esrj-41988	127	13	compression	compression	NOUN
esrj-41988	127	14	ratio	ratio	NOUN
esrj-41988	127	15	.	.	PUNCT
esrj-41988	128	1	the	the	DET
esrj-41988	128	2	ann	ann	PROPN
esrj-41988	128	3	performance	performance	NOUN
esrj-41988	128	4	is	be	AUX
esrj-41988	128	5	influenced	influence	VERB
esrj-41988	128	6	by	by	ADP
esrj-41988	128	7	the	the	DET
esrj-41988	128	8	number	number	NOUN
esrj-41988	128	9	of	of	ADP
esrj-41988	128	10	neurons	neuron	NOUN
esrj-41988	128	11	in	in	ADP
esrj-41988	128	12	hidden	hidden	ADJ
esrj-41988	128	13	layers	layer	NOUN
esrj-41988	128	14	.	.	PUNCT
esrj-41988	129	1	however	however	ADV
esrj-41988	129	2	,	,	PUNCT
esrj-41988	129	3	there	there	PRON
esrj-41988	129	4	are	be	VERB
esrj-41988	129	5	no	no	DET
esrj-41988	129	6	specific	specific	ADJ
esrj-41988	129	7	guidelines	guideline	NOUN
esrj-41988	129	8	that	that	PRON
esrj-41988	129	9	can	can	AUX
esrj-41988	129	10	r	r	VERB
esrj-41988	129	11	=	=	PUNCT
esrj-41988	129	12	(	(	PUNCT
esrj-41988	129	13	mi	mi	PROPN
esrj-41988	129	14	−mi=1	−mi=1	PROPN
esrj-41988	129	15	n	n	PROPN
esrj-41988	129	16	∑	∑	PROPN
esrj-41988	129	17	)	)	PUNCT
esrj-41988	129	18	(	(	PUNCT
esrj-41988	129	19	pi	pi	NOUN
esrj-41988	129	20	−p	−p	NOUN
esrj-41988	129	21	)	)	PUNCT
esrj-41988	129	22	(	(	PUNCT
esrj-41988	129	23	mi	mi	PROPN
esrj-41988	129	24	−m	−m	PROPN
esrj-41988	129	25	)	)	PUNCT
esrj-41988	129	26	2	2	NUM
esrj-41988	129	27	(	(	PUNCT
esrj-41988	129	28	(	(	PUNCT
esrj-41988	129	29	pi	pi	NOUN
esrj-41988	129	30	−p	−p	NOUN
esrj-41988	129	31	)	)	PUNCT
esrj-41988	129	32	2	2	NUM
esrj-41988	129	33	i=1	i=1	PROPN
esrj-41988	129	34	n	n	PRON
esrj-41988	129	35	∑i=1	∑i=1	PROPN
esrj-41988	129	36	n	n	PROPN
esrj-41988	129	37	∑	∑	ADV
esrj-41988	129	38	rmse	rmse	NOUN
esrj-41988	129	39	=	=	SYM
esrj-41988	129	40	(	(	PUNCT
esrj-41988	129	41	mi	mi	PROPN
esrj-41988	129	42	−pi	−pi	PROPN
esrj-41988	129	43	)	)	PUNCT
esrj-41988	129	44	2	2	NUM
esrj-41988	129	45	i=1	i=1	PROPN
esrj-41988	129	46	n	n	CCONJ
esrj-41988	129	47	∑	∑	PROPN
esrj-41988	129	48	n	n	CCONJ
esrj-41988	129	49	mae	mae	PROPN
esrj-41988	129	50	=	=	SYM
esrj-41988	129	51	1	1	NUM
esrj-41988	129	52	n	n	NUM
esrj-41988	129	53	mi	mi	PROPN
esrj-41988	129	54	−pii=1	−pii=1	PROPN
esrj-41988	129	55	n	n	ADV
esrj-41988	129	56	∑	∑	AUX
esrj-41988	129	57	be	be	AUX
esrj-41988	129	58	used	use	VERB
esrj-41988	129	59	to	to	PART
esrj-41988	129	60	select	select	VERB
esrj-41988	129	61	the	the	DET
esrj-41988	129	62	optimum	optimum	ADJ
esrj-41988	129	63	number	number	NOUN
esrj-41988	129	64	of	of	ADP
esrj-41988	129	65	neurons	neuron	NOUN
esrj-41988	129	66	in	in	ADP
esrj-41988	129	67	a	a	DET
esrj-41988	129	68	hidden	hide	VERB
esrj-41988	129	69	layer	layer	NOUN
esrj-41988	129	70	for	for	ADP
esrj-41988	129	71	a	a	DET
esrj-41988	129	72	given	give	VERB
esrj-41988	129	73	problem	problem	NOUN
esrj-41988	129	74	.	.	PUNCT
esrj-41988	130	1	this	this	DET
esrj-41988	130	2	parameter	parameter	NOUN
esrj-41988	130	3	is	be	AUX
esrj-41988	130	4	often	often	ADV
esrj-41988	130	5	selected	select	VERB
esrj-41988	130	6	through	through	ADP
esrj-41988	130	7	a	a	DET
esrj-41988	130	8	trial	trial	NOUN
esrj-41988	130	9	and	and	CCONJ
esrj-41988	130	10	error	error	NOUN
esrj-41988	130	11	method	method	NOUN
esrj-41988	130	12	.	.	PUNCT
esrj-41988	131	1	to	to	PART
esrj-41988	131	2	obtain	obtain	VERB
esrj-41988	131	3	the	the	DET
esrj-41988	131	4	optimum	optimum	ADJ
esrj-41988	131	5	network	network	NOUN
esrj-41988	131	6	architecture	architecture	NOUN
esrj-41988	131	7	,	,	PUNCT
esrj-41988	131	8	different	different	ADJ
esrj-41988	131	9	numbers	number	NOUN
esrj-41988	131	10	of	of	ADP
esrj-41988	131	11	hidden	hide	VERB
esrj-41988	131	12	-	-	PUNCT
esrj-41988	131	13	layer	layer	NOUN
esrj-41988	131	14	neurons	neuron	NOUN
esrj-41988	131	15	,	,	PUNCT
esrj-41988	131	16	from	from	ADP
esrj-41988	131	17	3	3	NUM
esrj-41988	131	18	to	to	ADP
esrj-41988	131	19	8	8	NUM
esrj-41988	131	20	,	,	PUNCT
esrj-41988	131	21	were	be	AUX
esrj-41988	131	22	employed	employ	VERB
esrj-41988	131	23	to	to	PART
esrj-41988	131	24	train	train	VERB
esrj-41988	131	25	different	different	ADJ
esrj-41988	131	26	networks	network	NOUN
esrj-41988	131	27	.	.	PUNCT
esrj-41988	132	1	finally	finally	ADV
esrj-41988	132	2	,	,	PUNCT
esrj-41988	132	3	an	an	DET
esrj-41988	132	4	appropriate	appropriate	ADJ
esrj-41988	132	5	ann	ann	NOUN
esrj-41988	132	6	network	network	NOUN
esrj-41988	132	7	with	with	ADP
esrj-41988	132	8	best	good	ADJ
esrj-41988	132	9	performance	performance	NOUN
esrj-41988	132	10	was	be	AUX
esrj-41988	132	11	selected	select	VERB
esrj-41988	132	12	by	by	ADP
esrj-41988	132	13	considering	consider	VERB
esrj-41988	132	14	r	r	NOUN
esrj-41988	132	15	and	and	CCONJ
esrj-41988	132	16	rmse	rmse	ADJ
esrj-41988	132	17	values	value	NOUN
esrj-41988	132	18	of	of	ADP
esrj-41988	132	19	the	the	DET
esrj-41988	132	20	testing	testing	NOUN
esrj-41988	132	21	data	datum	NOUN
esrj-41988	132	22	set	set	VERB
esrj-41988	132	23	and	and	CCONJ
esrj-41988	132	24	the	the	DET
esrj-41988	132	25	training	training	NOUN
esrj-41988	132	26	data	datum	NOUN
esrj-41988	132	27	set	set	VERB
esrj-41988	132	28	.	.	PUNCT
esrj-41988	133	1	a	a	DET
esrj-41988	133	2	back	back	ADJ
esrj-41988	133	3	-	-	PUNCT
esrj-41988	133	4	propagation	propagation	NOUN
esrj-41988	133	5	algorithm	algorithm	NOUN
esrj-41988	133	6	was	be	AUX
esrj-41988	133	7	used	use	VERB
esrj-41988	133	8	to	to	PART
esrj-41988	133	9	train	train	VERB
esrj-41988	133	10	the	the	DET
esrj-41988	133	11	mlp	mlp	PROPN
esrj-41988	133	12	neural	neural	ADJ
esrj-41988	133	13	network	network	NOUN
esrj-41988	133	14	.	.	PUNCT
esrj-41988	134	1	specifically	specifically	ADV
esrj-41988	134	2	,	,	PUNCT
esrj-41988	134	3	the	the	DET
esrj-41988	134	4	levenberg	levenberg	PROPN
esrj-41988	134	5	–	–	PUNCT
esrj-41988	134	6	marquardt	marquardt	PROPN
esrj-41988	134	7	algorithm	algorithm	PROPN
esrj-41988	134	8	was	be	AUX
esrj-41988	134	9	used	use	VERB
esrj-41988	134	10	to	to	PART
esrj-41988	134	11	improve	improve	VERB
esrj-41988	134	12	the	the	DET
esrj-41988	134	13	speed	speed	NOUN
esrj-41988	134	14	and	and	CCONJ
esrj-41988	134	15	efficiency	efficiency	NOUN
esrj-41988	134	16	of	of	ADP
esrj-41988	134	17	back	back	ADJ
esrj-41988	134	18	propagation	propagation	NOUN
esrj-41988	134	19	algorithm	algorithm	NOUN
esrj-41988	134	20	.	.	PUNCT
esrj-41988	135	1	also	also	ADV
esrj-41988	135	2	,	,	PUNCT
esrj-41988	135	3	a	a	DET
esrj-41988	135	4	tan	tan	NOUN
esrj-41988	135	5	-	-	PUNCT
esrj-41988	135	6	sigmoid	sigmoid	NOUN
esrj-41988	135	7	function	function	NOUN
esrj-41988	135	8	was	be	AUX
esrj-41988	135	9	used	use	VERB
esrj-41988	135	10	as	as	ADP
esrj-41988	135	11	the	the	DET
esrj-41988	135	12	activation	activation	NOUN
esrj-41988	135	13	function	function	NOUN
esrj-41988	135	14	in	in	ADP
esrj-41988	135	15	the	the	DET
esrj-41988	135	16	hidden	hide	VERB
esrj-41988	135	17	and	and	CCONJ
esrj-41988	135	18	output	output	NOUN
esrj-41988	135	19	layers	layer	NOUN
esrj-41988	135	20	.	.	PUNCT
esrj-41988	136	1	after	after	ADP
esrj-41988	136	2	the	the	DET
esrj-41988	136	3	training	training	NOUN
esrj-41988	136	4	phase	phase	NOUN
esrj-41988	136	5	,	,	PUNCT
esrj-41988	136	6	the	the	DET
esrj-41988	136	7	generalization	generalization	NOUN
esrj-41988	136	8	capability	capability	NOUN
esrj-41988	136	9	of	of	ADP
esrj-41988	136	10	the	the	DET
esrj-41988	136	11	trained	train	VERB
esrj-41988	136	12	model	model	NOUN
esrj-41988	136	13	was	be	AUX
esrj-41988	136	14	evaluated	evaluate	VERB
esrj-41988	136	15	using	use	VERB
esrj-41988	136	16	the	the	DET
esrj-41988	136	17	test	test	NOUN
esrj-41988	136	18	data	datum	NOUN
esrj-41988	136	19	set	set	VERB
esrj-41988	136	20	(	(	PUNCT
esrj-41988	136	21	13	13	NUM
esrj-41988	136	22	data	datum	NOUN
esrj-41988	136	23	)	)	PUNCT
esrj-41988	136	24	.	.	PUNCT
esrj-41988	137	1	the	the	DET
esrj-41988	137	2	output	output	NOUN
esrj-41988	137	3	value	value	NOUN
esrj-41988	137	4	of	of	ADP
esrj-41988	137	5	the	the	DET
esrj-41988	137	6	optimal	optimal	ADJ
esrj-41988	137	7	network	network	NOUN
esrj-41988	137	8	,	,	PUNCT
esrj-41988	137	9	compression	compression	NOUN
esrj-41988	137	10	ratio	ratio	NOUN
esrj-41988	137	11	,	,	PUNCT
esrj-41988	137	12	can	can	AUX
esrj-41988	137	13	be	be	AUX
esrj-41988	137	14	calculated	calculate	VERB
esrj-41988	137	15	by	by	ADP
esrj-41988	137	16	equation	equation	NOUN
esrj-41988	137	17	(	(	PUNCT
esrj-41988	137	18	18	18	NUM
esrj-41988	137	19	):	):	PUNCT
esrj-41988	137	20	(	(	PUNCT
esrj-41988	137	21	9	9	X
esrj-41988	137	22	)	)	PUNCT
esrj-41988	137	23	where	where	SCONJ
esrj-41988	137	24	w1	w1	NOUN
esrj-41988	137	25	and	and	CCONJ
esrj-41988	137	26	w2	w2	NOUN
esrj-41988	137	27	are	be	AUX
esrj-41988	137	28	the	the	DET
esrj-41988	137	29	weight	weight	NOUN
esrj-41988	137	30	matrices	matrix	NOUN
esrj-41988	137	31	,	,	PUNCT
esrj-41988	137	32	and	and	CCONJ
esrj-41988	137	33	b1	b1	NOUN
esrj-41988	137	34	and	and	CCONJ
esrj-41988	137	35	b2	b2	NOUN
esrj-41988	137	36	are	be	AUX
esrj-41988	137	37	the	the	DET
esrj-41988	137	38	biases	bias	NOUN
esrj-41988	137	39	vectors	vector	NOUN
esrj-41988	137	40	.	.	PUNCT
esrj-41988	138	1	the	the	DET
esrj-41988	138	2	values	value	NOUN
esrj-41988	138	3	of	of	ADP
esrj-41988	138	4	these	these	DET
esrj-41988	138	5	parameters	parameter	NOUN
esrj-41988	138	6	are	be	AUX
esrj-41988	138	7	presented	present	VERB
esrj-41988	138	8	in	in	ADP
esrj-41988	138	9	table	table	NOUN
esrj-41988	138	10	3	3	NUM
esrj-41988	138	11	.	.	PUNCT
esrj-41988	139	1	development	development	NOUN
esrj-41988	139	2	of	of	ADP
esrj-41988	139	3	anfis	anfis	ADJ
esrj-41988	139	4	model	model	NOUN
esrj-41988	139	5	in	in	ADP
esrj-41988	139	6	the	the	DET
esrj-41988	139	7	anfis	anfis	ADJ
esrj-41988	139	8	system	system	NOUN
esrj-41988	139	9	,	,	PUNCT
esrj-41988	139	10	each	each	DET
esrj-41988	139	11	input	input	NOUN
esrj-41988	139	12	parameter	parameter	NOUN
esrj-41988	139	13	must	must	AUX
esrj-41988	139	14	be	be	AUX
esrj-41988	139	15	clustered	cluster	VERB
esrj-41988	139	16	into	into	ADP
esrj-41988	139	17	several	several	ADJ
esrj-41988	139	18	class	class	NOUN
esrj-41988	139	19	values	value	NOUN
esrj-41988	139	20	in	in	ADP
esrj-41988	139	21	order	order	NOUN
esrj-41988	139	22	to	to	PART
esrj-41988	139	23	form	form	VERB
esrj-41988	139	24	fuzzy	fuzzy	ADJ
esrj-41988	139	25	rules	rule	NOUN
esrj-41988	139	26	,	,	PUNCT
esrj-41988	139	27	and	and	CCONJ
esrj-41988	139	28	each	each	DET
esrj-41988	139	29	fuzzy	fuzzy	ADJ
esrj-41988	139	30	rule	rule	NOUN
esrj-41988	139	31	is	be	AUX
esrj-41988	139	32	made	make	VERB
esrj-41988	139	33	up	up	ADP
esrj-41988	139	34	of	of	ADP
esrj-41988	139	35	two	two	NUM
esrj-41988	139	36	or	or	CCONJ
esrj-41988	139	37	more	more	ADJ
esrj-41988	139	38	membership	membership	NOUN
esrj-41988	139	39	functions	function	NOUN
esrj-41988	140	1	.various	.various	ADJ
esrj-41988	140	2	methods	method	NOUN
esrj-41988	140	3	have	have	AUX
esrj-41988	140	4	been	be	AUX
esrj-41988	140	5	proposed	propose	VERB
esrj-41988	140	6	for	for	ADP
esrj-41988	140	7	the	the	DET
esrj-41988	140	8	clustering	clustering	NOUN
esrj-41988	140	9	of	of	ADP
esrj-41988	140	10	the	the	DET
esrj-41988	140	11	input	input	NOUN
esrj-41988	140	12	parameter	parameter	NOUN
esrj-41988	140	13	and	and	CCONJ
esrj-41988	140	14	development	development	NOUN
esrj-41988	140	15	of	of	ADP
esrj-41988	140	16	the	the	DET
esrj-41988	140	17	rules	rule	NOUN
esrj-41988	140	18	,	,	PUNCT
esrj-41988	140	19	the	the	DET
esrj-41988	140	20	most	most	ADV
esrj-41988	140	21	common	common	ADJ
esrj-41988	140	22	of	of	ADP
esrj-41988	140	23	which	which	PRON
esrj-41988	140	24	are	be	AUX
esrj-41988	140	25	:	:	PUNCT
esrj-41988	140	26	“	"	PUNCT
esrj-41988	140	27	subtractive	subtractive	ADJ
esrj-41988	140	28	clustering	clustering	NOUN
esrj-41988	140	29	”	"	PUNCT
esrj-41988	140	30	method	method	NOUN
esrj-41988	140	31	(	(	PUNCT
esrj-41988	140	32	chie	chie	X
esrj-41988	140	33	,	,	PUNCT
esrj-41988	140	34	1994	1994	NUM
esrj-41988	140	35	)	)	PUNCT
esrj-41988	140	36	and	and	CCONJ
esrj-41988	140	37	“	"	PUNCT
esrj-41988	140	38	grid	grid	NOUN
esrj-41988	140	39	partitioning	partitioning	NOUN
esrj-41988	140	40	”	"	PUNCT
esrj-41988	140	41	method	method	NOUN
esrj-41988	140	42	(	(	PUNCT
esrj-41988	140	43	jang	jang	PROPN
esrj-41988	140	44	and	and	CCONJ
esrj-41988	140	45	sun	sun	PROPN
esrj-41988	140	46	,	,	PUNCT
esrj-41988	140	47	1995	1995	NUM
esrj-41988	140	48	)	)	PUNCT
esrj-41988	140	49	.	.	PUNCT
esrj-41988	141	1	the	the	DET
esrj-41988	141	2	former	former	ADJ
esrj-41988	141	3	was	be	AUX
esrj-41988	141	4	adopted	adopt	VERB
esrj-41988	141	5	in	in	ADP
esrj-41988	141	6	this	this	DET
esrj-41988	141	7	study	study	NOUN
esrj-41988	141	8	because	because	SCONJ
esrj-41988	141	9	it	it	PRON
esrj-41988	141	10	required	require	VERB
esrj-41988	141	11	less	less	ADV
esrj-41988	141	12	computational	computational	ADJ
esrj-41988	141	13	effort	effort	NOUN
esrj-41988	141	14	and	and	CCONJ
esrj-41988	141	15	calculation	calculation	NOUN
esrj-41988	141	16	time	time	NOUN
esrj-41988	141	17	.	.	PUNCT
esrj-41988	142	1	the	the	DET
esrj-41988	142	2	subtractive	subtractive	NOUN
esrj-41988	142	3	clustering	cluster	VERB
esrj-41988	142	4	algorithm	algorithm	NOUN
esrj-41988	142	5	assumes	assume	VERB
esrj-41988	142	6	that	that	SCONJ
esrj-41988	142	7	every	every	DET
esrj-41988	142	8	data	data	NOUN
esrj-41988	142	9	point	point	NOUN
esrj-41988	142	10	is	be	AUX
esrj-41988	142	11	a	a	DET
esrj-41988	142	12	candidate	candidate	NOUN
esrj-41988	142	13	that	that	PRON
esrj-41988	142	14	can	can	AUX
esrj-41988	142	15	become	become	VERB
esrj-41988	142	16	a	a	DET
esrj-41988	142	17	cluster	cluster	NOUN
esrj-41988	142	18	center	center	NOUN
esrj-41988	142	19	.	.	PUNCT
esrj-41988	143	1	then	then	ADV
esrj-41988	143	2	,	,	PUNCT
esrj-41988	143	3	a	a	DET
esrj-41988	143	4	measure	measure	NOUN
esrj-41988	143	5	of	of	ADP
esrj-41988	143	6	density	density	NOUN
esrj-41988	143	7	for	for	ADP
esrj-41988	143	8	each	each	DET
esrj-41988	143	9	data	datum	NOUN
esrj-41988	143	10	point	point	NOUN
esrj-41988	143	11	is	be	AUX
esrj-41988	143	12	used	use	VERB
esrj-41988	143	13	to	to	PART
esrj-41988	143	14	determine	determine	VERB
esrj-41988	143	15	the	the	DET
esrj-41988	143	16	potential	potential	NOUN
esrj-41988	143	17	of	of	ADP
esrj-41988	143	18	a	a	DET
esrj-41988	143	19	point	point	NOUN
esrj-41988	143	20	to	to	PART
esrj-41988	143	21	become	become	VERB
esrj-41988	143	22	a	a	DET
esrj-41988	143	23	cluster	cluster	NOUN
esrj-41988	143	24	center	center	NOUN
esrj-41988	143	25	(	(	PUNCT
esrj-41988	143	26	chiu	chiu	PROPN
esrj-41988	143	27	,	,	PUNCT
esrj-41988	143	28	1994	1994	NUM
esrj-41988	143	29	)	)	PUNCT
esrj-41988	143	30	.	.	PUNCT
esrj-41988	144	1	the	the	DET
esrj-41988	144	2	data	data	NOUN
esrj-41988	144	3	point	point	NOUN
esrj-41988	144	4	with	with	ADP
esrj-41988	144	5	the	the	DET
esrj-41988	144	6	highest	high	ADJ
esrj-41988	144	7	potential	potential	NOUN
esrj-41988	144	8	is	be	AUX
esrj-41988	144	9	selected	select	VERB
esrj-41988	144	10	as	as	ADP
esrj-41988	144	11	the	the	DET
esrj-41988	144	12	first	first	ADJ
esrj-41988	144	13	cluster	cluster	NOUN
esrj-41988	144	14	center	center	NOUN
esrj-41988	144	15	,	,	PUNCT
esrj-41988	144	16	and	and	CCONJ
esrj-41988	144	17	the	the	DET
esrj-41988	144	18	data	data	NOUN
esrj-41988	144	19	points	point	NOUN
esrj-41988	144	20	near	near	ADP
esrj-41988	144	21	the	the	DET
esrj-41988	144	22	first	first	ADJ
esrj-41988	144	23	cluster	cluster	NOUN
esrj-41988	144	24	center	center	NOUN
esrj-41988	144	25	are	be	AUX
esrj-41988	144	26	removed	remove	VERB
esrj-41988	144	27	,	,	PUNCT
esrj-41988	144	28	as	as	SCONJ
esrj-41988	144	29	determined	determine	VERB
esrj-41988	144	30	by	by	ADP
esrj-41988	144	31	the	the	DET
esrj-41988	144	32	influential	influential	ADJ
esrj-41988	144	33	radius	radius	NOUN
esrj-41988	144	34	.	.	PUNCT
esrj-41988	145	1	the	the	DET
esrj-41988	145	2	algorithm	algorithm	NOUN
esrj-41988	145	3	searches	search	VERB
esrj-41988	145	4	for	for	ADP
esrj-41988	145	5	a	a	DET
esrj-41988	145	6	new	new	ADJ
esrj-41988	145	7	data	data	NOUN
esrj-41988	145	8	point	point	NOUN
esrj-41988	145	9	having	have	VERB
esrj-41988	145	10	the	the	DET
esrj-41988	145	11	highest	high	ADJ
esrj-41988	145	12	number	number	NOUN
esrj-41988	145	13	of	of	ADP
esrj-41988	145	14	neighbors	neighbor	NOUN
esrj-41988	145	15	as	as	ADP
esrj-41988	145	16	the	the	DET
esrj-41988	145	17	next	next	ADJ
esrj-41988	145	18	cluster	cluster	NOUN
esrj-41988	145	19	center	center	NOUN
esrj-41988	145	20	.	.	PUNCT
esrj-41988	146	1	then	then	ADV
esrj-41988	146	2	the	the	DET
esrj-41988	146	3	data	data	NOUN
esrj-41988	146	4	points	point	NOUN
esrj-41988	146	5	near	near	ADP
esrj-41988	146	6	the	the	DET
esrj-41988	146	7	new	new	ADJ
esrj-41988	146	8	cluster	cluster	NOUN
esrj-41988	146	9	center	center	NOUN
esrj-41988	146	10	with	with	ADP
esrj-41988	146	11	fewer	few	ADJ
esrj-41988	146	12	neighbors	neighbor	NOUN
esrj-41988	146	13	are	be	AUX
esrj-41988	146	14	removed	remove	VERB
esrj-41988	146	15	.	.	PUNCT
esrj-41988	147	1	this	this	PRON
esrj-41988	147	2	is	be	AUX
esrj-41988	147	3	repeated	repeat	VERB
esrj-41988	147	4	until	until	SCONJ
esrj-41988	147	5	all	all	DET
esrj-41988	147	6	the	the	DET
esrj-41988	147	7	data	data	NOUN
esrj-41988	147	8	points	point	NOUN
esrj-41988	147	9	are	be	AUX
esrj-41988	147	10	examined	examine	VERB
esrj-41988	147	11	and	and	CCONJ
esrj-41988	147	12	sufficient	sufficient	ADJ
esrj-41988	147	13	numbers	number	NOUN
esrj-41988	147	14	of	of	ADP
esrj-41988	147	15	cluster	cluster	NOUN
esrj-41988	147	16	centers	center	NOUN
esrj-41988	147	17	can	can	AUX
esrj-41988	147	18	be	be	AUX
esrj-41988	147	19	generated	generate	VERB
esrj-41988	147	20	.	.	PUNCT
esrj-41988	148	1	the	the	DET
esrj-41988	148	2	influential	influential	ADJ
esrj-41988	148	3	radius	radius	NOUN
esrj-41988	148	4	is	be	AUX
esrj-41988	148	5	necessary	necessary	ADJ
esrj-41988	148	6	for	for	ADP
esrj-41988	148	7	determining	determine	VERB
esrj-41988	148	8	the	the	DET
esrj-41988	148	9	number	number	NOUN
esrj-41988	148	10	of	of	ADP
esrj-41988	148	11	clusters	cluster	NOUN
esrj-41988	148	12	.	.	PUNCT
esrj-41988	149	1	a	a	DET
esrj-41988	149	2	smaller	small	ADJ
esrj-41988	149	3	radius	radius	NOUN
esrj-41988	149	4	leads	lead	VERB
esrj-41988	149	5	to	to	ADP
esrj-41988	149	6	many	many	ADJ
esrj-41988	149	7	smaller	small	ADJ
esrj-41988	149	8	clusters	cluster	NOUN
esrj-41988	149	9	in	in	ADP
esrj-41988	149	10	the	the	DET
esrj-41988	149	11	data	data	NOUN
esrj-41988	149	12	space	space	NOUN
esrj-41988	149	13	,	,	PUNCT
esrj-41988	149	14	thereby	thereby	ADV
esrj-41988	149	15	resulting	result	VERB
esrj-41988	149	16	in	in	ADP
esrj-41988	149	17	more	more	ADJ
esrj-41988	149	18	rules	rule	NOUN
esrj-41988	149	19	,	,	PUNCT
esrj-41988	149	20	and	and	CCONJ
esrj-41988	149	21	vice	vice	ADV
esrj-41988	149	22	versa	versa	ADV
esrj-41988	149	23	.	.	PUNCT
esrj-41988	150	1	the	the	DET
esrj-41988	150	2	value	value	NOUN
esrj-41988	150	3	of	of	ADP
esrj-41988	150	4	the	the	DET
esrj-41988	150	5	optimal	optimal	ADJ
esrj-41988	150	6	radius	radius	NOUN
esrj-41988	150	7	in	in	ADP
esrj-41988	150	8	a	a	DET
esrj-41988	150	9	trial	trial	NOUN
esrj-41988	150	10	and	and	CCONJ
esrj-41988	150	11	error	error	NOUN
esrj-41988	150	12	process	process	NOUN
esrj-41988	150	13	was	be	AUX
esrj-41988	150	14	determined	determine	VERB
esrj-41988	150	15	by	by	ADP
esrj-41988	150	16	changing	change	VERB
esrj-41988	150	17	the	the	DET
esrj-41988	150	18	radius	radius	NOUN
esrj-41988	150	19	from	from	ADP
esrj-41988	150	20	0.1	0.1	NUM
esrj-41988	150	21	to	to	ADP
esrj-41988	150	22	1	1	NUM
esrj-41988	150	23	with	with	ADP
esrj-41988	150	24	an	an	DET
esrj-41988	150	25	increment	increment	NOUN
esrj-41988	150	26	of	of	ADP
esrj-41988	150	27	0.05	0.05	NUM
esrj-41988	150	28	.	.	PUNCT
esrj-41988	151	1	at	at	ADP
esrj-41988	151	2	last	last	ADJ
esrj-41988	151	3	,	,	PUNCT
esrj-41988	151	4	the	the	DET
esrj-41988	151	5	radius	radius	NOUN
esrj-41988	151	6	value	value	NOUN
esrj-41988	151	7	was	be	AUX
esrj-41988	151	8	chosen	choose	VERB
esrj-41988	151	9	to	to	PART
esrj-41988	151	10	be	be	AUX
esrj-41988	151	11	0.9	0.9	NUM
esrj-41988	151	12	that	that	PRON
esrj-41988	151	13	resulted	result	VERB
esrj-41988	151	14	in	in	ADP
esrj-41988	151	15	approximately	approximately	ADV
esrj-41988	151	16	two	two	NUM
esrj-41988	151	17	clusters	cluster	NOUN
esrj-41988	151	18	.	.	PUNCT
esrj-41988	152	1	therefore	therefore	ADV
esrj-41988	152	2	,	,	PUNCT
esrj-41988	152	3	each	each	DET
esrj-41988	152	4	input	input	NOUN
esrj-41988	152	5	and	and	CCONJ
esrj-41988	152	6	output	output	NOUN
esrj-41988	152	7	was	be	AUX
esrj-41988	152	8	characterized	characterize	VERB
esrj-41988	152	9	by	by	ADP
esrj-41988	152	10	two	two	NUM
esrj-41988	152	11	membership	membership	NOUN
esrj-41988	152	12	functions	function	NOUN
esrj-41988	152	13	and	and	CCONJ
esrj-41988	152	14	,	,	PUNCT
esrj-41988	152	15	hence	hence	ADV
esrj-41988	152	16	,	,	PUNCT
esrj-41988	152	17	two	two	NUM
esrj-41988	152	18	rules	rule	NOUN
esrj-41988	152	19	were	be	AUX
esrj-41988	152	20	created	create	VERB
esrj-41988	152	21	.	.	PUNCT
esrj-41988	153	1	the	the	DET
esrj-41988	153	2	gaussiantype	gaussiantype	NOUN
esrj-41988	153	3	membership	membership	NOUN
esrj-41988	153	4	function	function	NOUN
esrj-41988	153	5	was	be	AUX
esrj-41988	153	6	assigned	assign	VERB
esrj-41988	153	7	to	to	ADP
esrj-41988	153	8	each	each	DET
esrj-41988	153	9	input	input	NOUN
esrj-41988	153	10	variable	variable	NOUN
esrj-41988	153	11	.	.	PUNCT
esrj-41988	154	1	after	after	ADP
esrj-41988	154	2	constructing	construct	VERB
esrj-41988	154	3	the	the	DET
esrj-41988	154	4	initial	initial	ADJ
esrj-41988	154	5	fis	fis	PROPN
esrj-41988	154	6	structure	structure	NOUN
esrj-41988	154	7	,	,	PUNCT
esrj-41988	154	8	the	the	DET
esrj-41988	154	9	training	training	NOUN
esrj-41988	154	10	stage	stage	NOUN
esrj-41988	154	11	was	be	AUX
esrj-41988	154	12	done	do	VERB
esrj-41988	154	13	.	.	PUNCT
esrj-41988	155	1	the	the	DET
esrj-41988	155	2	hybrid	hybrid	ADJ
esrj-41988	155	3	learning	learning	NOUN
esrj-41988	155	4	algorithm	algorithm	NOUN
esrj-41988	155	5	was	be	AUX
esrj-41988	155	6	employed	employ	VERB
esrj-41988	155	7	as	as	ADP
esrj-41988	155	8	an	an	DET
esrj-41988	155	9	optimizing	optimizing	NOUN
esrj-41988	155	10	method	method	NOUN
esrj-41988	155	11	in	in	ADP
esrj-41988	155	12	the	the	DET
esrj-41988	155	13	training	training	NOUN
esrj-41988	155	14	stage	stage	NOUN
esrj-41988	155	15	.	.	PUNCT
esrj-41988	156	1	in	in	ADP
esrj-41988	156	2	this	this	DET
esrj-41988	156	3	step	step	NOUN
esrj-41988	156	4	,	,	PUNCT
esrj-41988	156	5	the	the	DET
esrj-41988	156	6	number	number	NOUN
esrj-41988	156	7	of	of	ADP
esrj-41988	156	8	iterations	iteration	NOUN
esrj-41988	156	9	of	of	ADP
esrj-41988	156	10	the	the	DET
esrj-41988	156	11	hybrid	hybrid	ADJ
esrj-41988	156	12	algorithm	algorithm	NOUN
esrj-41988	156	13	for	for	ADP
esrj-41988	156	14	the	the	DET
esrj-41988	156	15	correction	correction	NOUN
esrj-41988	156	16	of	of	ADP
esrj-41988	156	17	model	model	NOUN
esrj-41988	156	18	parameters	parameter	NOUN
esrj-41988	156	19	and	and	CCONJ
esrj-41988	156	20	goal	goal	NOUN
esrj-41988	156	21	error	error	NOUN
esrj-41988	156	22	were	be	AUX
esrj-41988	156	23	considered	consider	VERB
esrj-41988	156	24	100	100	NUM
esrj-41988	156	25	and	and	CCONJ
esrj-41988	156	26	0	0	NUM
esrj-41988	156	27	,	,	PUNCT
esrj-41988	156	28	respectively	respectively	ADV
esrj-41988	156	29	.	.	PUNCT
esrj-41988	157	1	the	the	DET
esrj-41988	157	2	constructed	construct	VERB
esrj-41988	157	3	anfis	anfis	PROPN
esrj-41988	157	4	model	model	NOUN
esrj-41988	157	5	has	have	VERB
esrj-41988	157	6	20	20	NUM
esrj-41988	157	7	parameters	parameter	NOUN
esrj-41988	157	8	(	(	PUNCT
esrj-41988	157	9	8	8	NUM
esrj-41988	157	10	linear	linear	ADJ
esrj-41988	157	11	and	and	CCONJ
esrj-41988	157	12	12	12	NUM
esrj-41988	157	13	nonlinear	nonlinear	NOUN
esrj-41988	157	14	)	)	PUNCT
esrj-41988	157	15	.	.	PUNCT
esrj-41988	158	1	the	the	DET
esrj-41988	158	2	membership	membership	NOUN
esrj-41988	158	3	function	function	NOUN
esrj-41988	158	4	(	(	PUNCT
esrj-41988	158	5	mf	mf	NOUN
esrj-41988	158	6	)	)	PUNCT
esrj-41988	158	7	plots	plot	NOUN
esrj-41988	158	8	of	of	ADP
esrj-41988	158	9	the	the	DET
esrj-41988	158	10	dry	dry	ADJ
esrj-41988	158	11	weight	weight	NOUN
esrj-41988	158	12	water	water	NOUN
esrj-41988	158	13	content	content	NOUN
esrj-41988	158	14	,	,	PUNCT
esrj-41988	158	15	dry	dry	ADJ
esrj-41988	158	16	unit	unit	NOUN
esrj-41988	158	17	weight	weight	NOUN
esrj-41988	158	18	,	,	PUNCT
esrj-41988	158	19	and	and	CCONJ
esrj-41988	158	20	biodegradable	biodegradable	ADJ
esrj-41988	158	21	organic	organic	ADJ
esrj-41988	158	22	compounds	compound	NOUN
esrj-41988	158	23	used	use	VERB
esrj-41988	158	24	in	in	ADP
esrj-41988	158	25	the	the	DET
esrj-41988	158	26	training	training	NOUN
esrj-41988	158	27	stage	stage	NOUN
esrj-41988	158	28	are	be	AUX
esrj-41988	158	29	shown	show	VERB
esrj-41988	158	30	in	in	ADP
esrj-41988	158	31	fig	fig	NOUN
esrj-41988	158	32	.	.	PUNCT
esrj-41988	159	1	3	3	X
esrj-41988	159	2	.	.	X
esrj-41988	159	3	cc	cc	NOUN
esrj-41988	159	4	'	'	PUNCT
esrj-41988	159	5	=	=	SYM
esrj-41988	159	6	f2	f2	PROPN
esrj-41988	159	7	w2	w2	NOUN
esrj-41988	159	8	[	[	PUNCT
esrj-41988	159	9	]	]	X
esrj-41988	159	10	f1	f1	PROPN
esrj-41988	159	11	w1	w1	NOUN
esrj-41988	159	12	[	[	PUNCT
esrj-41988	159	13	]	]	X
esrj-41988	159	14	ωd	ωd	ADP
esrj-41988	159	15	γd	γd	ADP
esrj-41988	159	16	om	om	PROPN
esrj-41988	159	17	⎡	⎡	NOUN
esrj-41988	159	18	⎣	⎣	PROPN
esrj-41988	159	19	⎢	⎢	NOUN
esrj-41988	159	20	⎢	⎢	PROPN
esrj-41988	159	21	⎢	⎢	NOUN
esrj-41988	159	22	⎤	⎤	PROPN
esrj-41988	159	23	⎦	⎦	PROPN
esrj-41988	159	24	⎥	⎥	PROPN
esrj-41988	159	25	⎥	⎥	PROPN
esrj-41988	159	26	⎥	⎥	PROPN
esrj-41988	159	27	+	+	CCONJ
esrj-41988	159	28	b1	b1	PROPN
esrj-41988	159	29	[	[	PUNCT
esrj-41988	159	30	]	]	PUNCT
esrj-41988	159	31	⎡	⎡	NOUN
esrj-41988	159	32	⎣	⎣	PROPN
esrj-41988	159	33	⎢	⎢	NOUN
esrj-41988	159	34	⎢	⎢	PROPN
esrj-41988	159	35	⎢	⎢	NOUN
esrj-41988	159	36	⎤	⎤	PROPN
esrj-41988	159	37	⎦	⎦	PROPN
esrj-41988	159	38	⎥	⎥	PROPN
esrj-41988	159	39	⎥	⎥	PROPN
esrj-41988	159	40	⎥	⎥	PROPN
esrj-41988	159	41	+	+	SYM
esrj-41988	159	42	b2	b2	NOUN
esrj-41988	159	43	[	[	PUNCT
esrj-41988	159	44	]	]	PUNCT
esrj-41988	159	45	⎡	⎡	NOUN
esrj-41988	159	46	⎣	⎣	PROPN
esrj-41988	159	47	⎢	⎢	NOUN
esrj-41988	159	48	⎢	⎢	PROPN
esrj-41988	159	49	⎢	⎢	NOUN
esrj-41988	159	50	⎤	⎤	PROPN
esrj-41988	159	51	⎦	⎦	PROPN
esrj-41988	159	52	⎥	⎥	PROPN
esrj-41988	159	53	⎥	⎥	NOUN
esrj-41988	159	54	⎥	⎥	PROPN
esrj-41988	159	55	169compression	169compression	PROPN
esrj-41988	159	56	ratio	ratio	NOUN
esrj-41988	159	57	of	of	ADP
esrj-41988	159	58	municipal	municipal	ADJ
esrj-41988	159	59	solid	solid	ADJ
esrj-41988	159	60	waste	waste	NOUN
esrj-41988	159	61	simulation	simulation	NOUN
esrj-41988	159	62	using	use	VERB
esrj-41988	159	63	artificial	artificial	ADJ
esrj-41988	159	64	neural	neural	ADJ
esrj-41988	159	65	network	network	NOUN
esrj-41988	159	66	and	and	CCONJ
esrj-41988	159	67	adaptive	adaptive	ADJ
esrj-41988	159	68	neurofuzzy	neurofuzzy	ADJ
esrj-41988	159	69	system	system	NOUN
esrj-41988	159	70	fig	fig	NOUN
esrj-41988	159	71	.	.	PUNCT
esrj-41988	160	1	3	3	NUM
esrj-41988	160	2	membership	membership	NOUN
esrj-41988	160	3	function	function	NOUN
esrj-41988	160	4	plots	plot	NOUN
esrj-41988	160	5	of	of	ADP
esrj-41988	160	6	the	the	DET
esrj-41988	160	7	compression	compression	NOUN
esrj-41988	160	8	ratio	ratio	NOUN
esrj-41988	160	9	,	,	PUNCT
esrj-41988	160	10	(	(	PUNCT
esrj-41988	160	11	a	a	X
esrj-41988	160	12	)	)	PUNCT
esrj-41988	160	13	dry	dry	ADJ
esrj-41988	160	14	weight	weight	NOUN
esrj-41988	160	15	water	water	NOUN
esrj-41988	160	16	content	content	NOUN
esrj-41988	160	17	,	,	PUNCT
esrj-41988	160	18	(	(	PUNCT
esrj-41988	160	19	b	b	X
esrj-41988	160	20	)	)	PUNCT
esrj-41988	160	21	dry	dry	ADJ
esrj-41988	160	22	unit	unit	NOUN
esrj-41988	160	23	weight	weight	NOUN
esrj-41988	160	24	,	,	PUNCT
esrj-41988	160	25	and	and	CCONJ
esrj-41988	160	26	(	(	PUNCT
esrj-41988	160	27	c	c	X
esrj-41988	160	28	)	)	PUNCT
esrj-41988	160	29	biodegradable	biodegradable	ADJ
esrj-41988	160	30	organic	organic	ADJ
esrj-41988	160	31	compound	compound	NOUN
esrj-41988	160	32	results	result	NOUN
esrj-41988	160	33	and	and	CCONJ
esrj-41988	160	34	discussion	discussion	NOUN
esrj-41988	160	35	ann	ann	PROPN
esrj-41988	160	36	model	model	PROPN
esrj-41988	160	37	fig	fig	PROPN
esrj-41988	160	38	.	.	PUNCT
esrj-41988	161	1	1(a	1(a	NUM
esrj-41988	161	2	)	)	PUNCT
esrj-41988	161	3	schematically	schematically	NOUN
esrj-41988	161	4	depicts	depict	VERB
esrj-41988	161	5	the	the	DET
esrj-41988	161	6	ann	ann	PROPN
esrj-41988	161	7	architecture	architecture	NOUN
esrj-41988	161	8	used	use	VERB
esrj-41988	161	9	in	in	ADP
esrj-41988	161	10	this	this	DET
esrj-41988	161	11	study	study	NOUN
esrj-41988	161	12	.	.	PUNCT
esrj-41988	162	1	a	a	DET
esrj-41988	162	2	study	study	NOUN
esrj-41988	162	3	on	on	ADP
esrj-41988	162	4	different	different	ADJ
esrj-41988	162	5	networks	network	NOUN
esrj-41988	162	6	with	with	ADP
esrj-41988	162	7	different	different	ADJ
esrj-41988	162	8	hidden	hidden	ADJ
esrj-41988	162	9	neurons	neuron	NOUN
esrj-41988	162	10	showed	show	VERB
esrj-41988	162	11	that	that	SCONJ
esrj-41988	162	12	a	a	DET
esrj-41988	162	13	network	network	NOUN
esrj-41988	162	14	comprising	comprise	VERB
esrj-41988	162	15	five	five	NUM
esrj-41988	162	16	neurons	neuron	NOUN
esrj-41988	162	17	in	in	ADP
esrj-41988	162	18	a	a	DET
esrj-41988	162	19	hidden	hide	VERB
esrj-41988	162	20	layer	layer	NOUN
esrj-41988	162	21	approaches	approach	VERB
esrj-41988	162	22	the	the	DET
esrj-41988	162	23	lowest	low	ADJ
esrj-41988	162	24	prediction	prediction	NOUN
esrj-41988	162	25	errors	error	NOUN
esrj-41988	162	26	and	and	CCONJ
esrj-41988	162	27	maximum	maximum	ADJ
esrj-41988	162	28	correlation	correlation	NOUN
esrj-41988	162	29	coefficient	coefficient	NOUN
esrj-41988	162	30	.	.	PUNCT
esrj-41988	163	1	a	a	DET
esrj-41988	163	2	comparison	comparison	NOUN
esrj-41988	163	3	of	of	ADP
esrj-41988	163	4	the	the	DET
esrj-41988	163	5	prediction	prediction	NOUN
esrj-41988	163	6	made	make	VERB
esrj-41988	163	7	by	by	ADP
esrj-41988	163	8	the	the	DET
esrj-41988	163	9	ann	ann	PROPN
esrj-41988	163	10	with	with	ADP
esrj-41988	163	11	the	the	DET
esrj-41988	163	12	experimental	experimental	ADJ
esrj-41988	163	13	value	value	NOUN
esrj-41988	163	14	for	for	ADP
esrj-41988	163	15	each	each	PRON
esrj-41988	163	16	of	of	ADP
esrj-41988	163	17	the	the	DET
esrj-41988	163	18	training	training	NOUN
esrj-41988	163	19	and	and	CCONJ
esrj-41988	163	20	testing	testing	NOUN
esrj-41988	163	21	data	datum	NOUN
esrj-41988	163	22	set	set	VERB
esrj-41988	163	23	is	be	AUX
esrj-41988	163	24	shown	show	VERB
esrj-41988	163	25	in	in	ADP
esrj-41988	163	26	fig	fig	NOUN
esrj-41988	163	27	4	4	NUM
esrj-41988	163	28	.	.	PUNCT
esrj-41988	164	1	as	as	SCONJ
esrj-41988	164	2	it	it	PRON
esrj-41988	164	3	can	can	AUX
esrj-41988	164	4	be	be	AUX
esrj-41988	164	5	seen	see	VERB
esrj-41988	164	6	,	,	PUNCT
esrj-41988	164	7	most	most	ADJ
esrj-41988	164	8	of	of	ADP
esrj-41988	164	9	the	the	DET
esrj-41988	164	10	cases	case	NOUN
esrj-41988	164	11	in	in	ADP
esrj-41988	164	12	the	the	DET
esrj-41988	164	13	training	training	NOUN
esrj-41988	164	14	and	and	CCONJ
esrj-41988	164	15	testing	testing	NOUN
esrj-41988	164	16	subsets	subset	NOUN
esrj-41988	164	17	are	be	AUX
esrj-41988	164	18	around	around	ADP
esrj-41988	164	19	the	the	DET
esrj-41988	164	20	middle	middle	NOUN
esrj-41988	164	21	,	,	PUNCT
esrj-41988	164	22	indicating	indicate	VERB
esrj-41988	164	23	a	a	DET
esrj-41988	164	24	good	good	ADJ
esrj-41988	164	25	agreement	agreement	NOUN
esrj-41988	164	26	between	between	ADP
esrj-41988	164	27	the	the	DET
esrj-41988	164	28	ann	ann	PROPN
esrj-41988	164	29	model	model	NOUN
esrj-41988	164	30	prediction	prediction	NOUN
esrj-41988	164	31	and	and	CCONJ
esrj-41988	164	32	the	the	DET
esrj-41988	164	33	experimental	experimental	ADJ
esrj-41988	164	34	values	value	NOUN
esrj-41988	164	35	.	.	PUNCT
esrj-41988	165	1	fig.4	fig.4	AUX
esrj-41988	165	2	.	.	PROPN
esrj-41988	165	3	measured	measure	VERB
esrj-41988	165	4	versus	versus	ADP
esrj-41988	165	5	predicted	predict	VERB
esrj-41988	165	6	compression	compression	NOUN
esrj-41988	165	7	ratio	ratio	NOUN
esrj-41988	165	8	of	of	ADP
esrj-41988	165	9	msw	msw	NOUN
esrj-41988	165	10	using	use	VERB
esrj-41988	165	11	ann	ann	PROPN
esrj-41988	165	12	model	model	NOUN
esrj-41988	165	13	,	,	PUNCT
esrj-41988	165	14	(	(	PUNCT
esrj-41988	165	15	a	a	X
esrj-41988	165	16	)	)	PUNCT
esrj-41988	165	17	training	training	NOUN
esrj-41988	165	18	data	datum	NOUN
esrj-41988	165	19	set	set	VERB
esrj-41988	165	20	,	,	PUNCT
esrj-41988	165	21	(	(	PUNCT
esrj-41988	165	22	b	b	X
esrj-41988	165	23	)	)	PUNCT
esrj-41988	165	24	testing	testing	NOUN
esrj-41988	165	25	data	datum	NOUN
esrj-41988	165	26	test	test	NOUN
esrj-41988	165	27	table	table	NOUN
esrj-41988	165	28	3	3	NUM
esrj-41988	165	29	shows	show	VERB
esrj-41988	165	30	the	the	DET
esrj-41988	165	31	weights	weight	NOUN
esrj-41988	165	32	of	of	ADP
esrj-41988	165	33	the	the	DET
esrj-41988	165	34	input	input	NOUN
esrj-41988	165	35	-	-	PUNCT
esrj-41988	165	36	hidden	hide	VERB
esrj-41988	165	37	and	and	CCONJ
esrj-41988	165	38	hidden	hide	VERB
esrj-41988	165	39	-	-	PUNCT
esrj-41988	165	40	output	output	NOUN
esrj-41988	165	41	layer	layer	NOUN
esrj-41988	165	42	connections	connection	NOUN
esrj-41988	165	43	and	and	CCONJ
esrj-41988	165	44	biases	bias	NOUN
esrj-41988	165	45	of	of	ADP
esrj-41988	165	46	the	the	DET
esrj-41988	165	47	proposed	propose	VERB
esrj-41988	165	48	ann	ann	PROPN
esrj-41988	165	49	model	model	NOUN
esrj-41988	165	50	after	after	ADP
esrj-41988	165	51	the	the	DET
esrj-41988	165	52	end	end	NOUN
esrj-41988	165	53	of	of	ADP
esrj-41988	165	54	the	the	DET
esrj-41988	165	55	training	training	NOUN
esrj-41988	165	56	procedure	procedure	NOUN
esrj-41988	165	57	.	.	PUNCT
esrj-41988	166	1	the	the	DET
esrj-41988	166	2	relative	relative	ADJ
esrj-41988	166	3	importance	importance	NOUN
esrj-41988	166	4	of	of	ADP
esrj-41988	166	5	the	the	DET
esrj-41988	166	6	input	input	NOUN
esrj-41988	166	7	parameters	parameter	NOUN
esrj-41988	166	8	can	can	AUX
esrj-41988	166	9	be	be	AUX
esrj-41988	166	10	assessed	assess	VERB
esrj-41988	166	11	by	by	ADP
esrj-41988	166	12	partitioning	partition	VERB
esrj-41988	166	13	the	the	DET
esrj-41988	166	14	hidden	hide	VERB
esrj-41988	166	15	-	-	PUNCT
esrj-41988	166	16	output	output	NOUN
esrj-41988	166	17	connection	connection	NOUN
esrj-41988	166	18	weights	weight	VERB
esrj-41988	166	19	into	into	ADP
esrj-41988	166	20	components	component	NOUN
esrj-41988	166	21	connected	connect	VERB
esrj-41988	166	22	with	with	ADP
esrj-41988	166	23	each	each	DET
esrj-41988	166	24	input	input	NOUN
esrj-41988	166	25	variable	variable	NOUN
esrj-41988	166	26	.	.	PUNCT
esrj-41988	167	1	table	table	NOUN
esrj-41988	167	2	4	4	NUM
esrj-41988	167	3	lists	list	VERB
esrj-41988	167	4	the	the	DET
esrj-41988	167	5	relative	relative	ADJ
esrj-41988	167	6	importance	importance	NOUN
esrj-41988	167	7	of	of	ADP
esrj-41988	167	8	the	the	DET
esrj-41988	167	9	input	input	NOUN
esrj-41988	167	10	variables	variable	NOUN
esrj-41988	167	11	in	in	ADP
esrj-41988	167	12	the	the	DET
esrj-41988	167	13	ann	ann	PROPN
esrj-41988	167	14	model	model	NOUN
esrj-41988	167	15	.	.	PUNCT
esrj-41988	168	1	as	as	SCONJ
esrj-41988	168	2	seen	see	VERB
esrj-41988	168	3	in	in	ADP
esrj-41988	168	4	this	this	DET
esrj-41988	168	5	table	table	NOUN
esrj-41988	168	6	,	,	PUNCT
esrj-41988	168	7	the	the	DET
esrj-41988	168	8	dry	dry	ADJ
esrj-41988	168	9	density	density	NOUN
esrj-41988	168	10	and	and	CCONJ
esrj-41988	168	11	the	the	DET
esrj-41988	168	12	dry	dry	ADJ
esrj-41988	168	13	weight	weight	NOUN
esrj-41988	168	14	water	water	NOUN
esrj-41988	168	15	content	content	NOUN
esrj-41988	168	16	have	have	VERB
esrj-41988	168	17	the	the	DET
esrj-41988	168	18	most	most	ADV
esrj-41988	168	19	significant	significant	ADJ
esrj-41988	168	20	effect	effect	NOUN
esrj-41988	168	21	on	on	ADP
esrj-41988	168	22	the	the	DET
esrj-41988	168	23	predicted	predict	VERB
esrj-41988	168	24	compression	compression	NOUN
esrj-41988	168	25	ratio	ratio	NOUN
esrj-41988	168	26	with	with	ADP
esrj-41988	168	27	average	average	ADJ
esrj-41988	168	28	relative	relative	ADJ
esrj-41988	168	29	importance	importance	NOUN
esrj-41988	168	30	values	value	NOUN
esrj-41988	168	31	of	of	ADP
esrj-41988	168	32	41.88	41.88	NUM
esrj-41988	168	33	and	and	CCONJ
esrj-41988	168	34	43.47	43.47	NUM
esrj-41988	168	35	%	%	NOUN
esrj-41988	168	36	,	,	PUNCT
esrj-41988	168	37	respectively	respectively	ADV
esrj-41988	168	38	.	.	PUNCT
esrj-41988	169	1	table	table	NOUN
esrj-41988	169	2	3	3	NUM
esrj-41988	169	3	.	.	PUNCT
esrj-41988	170	1	connection	connection	NOUN
esrj-41988	170	2	weights	weight	NOUN
esrj-41988	170	3	and	and	CCONJ
esrj-41988	170	4	biases	bias	NOUN
esrj-41988	170	5	bias	bias	VERB
esrj-41988	170	6	connection	connection	NOUN
esrj-41988	170	7	weights	weight	VERB
esrj-41988	170	8	hidden	hidden	ADJ
esrj-41988	170	9	neurons	neuron	NOUN
esrj-41988	170	10	b2b1outputom	b2b1outputom	NOUN
esrj-41988	170	11	-3.400870.85305	-3.400870.85305	NOUN
esrj-41988	170	12	-	-	PUNCT
esrj-41988	170	13	0.16996	0.16996	NUM
esrj-41988	170	14	-	-	PUNCT
esrj-41988	170	15	0.54242.3920481	0.54242.3920481	NUM
esrj-41988	170	16	-1.01113	-1.01113	PROPN
esrj-41988	170	17	-	-	PUNCT
esrj-41988	170	18	0.305351.3268221.993881	0.305351.3268221.993881	NUM
esrj-41988	170	19	-	-	PUNCT
esrj-41988	170	20	0.997252	0.997252	NUM
esrj-41988	170	21	0.108780.4829270.9026261.1143041.0685023	0.108780.4829270.9026261.1143041.0685023	PRON
esrj-41988	170	22	-0.18422	-0.18422	NOUN
esrj-41988	170	23	-	-	PUNCT
esrj-41988	170	24	0.4320.1127751.8204131.3946824	0.4320.1127751.8204131.3946824	NOUN
esrj-41988	170	25	2.493959	2.493959	NUM
esrj-41988	170	26	-	-	PUNCT
esrj-41988	170	27	0.49832	0.49832	NUM
esrj-41988	170	28	-	-	PUNCT
esrj-41988	170	29	0.415312.31615	0.415312.31615	NOUN
esrj-41988	170	30	0.445335	0.445335	NUM
esrj-41988	170	31	0.876667output	0.876667output	PROPN
esrj-41988	170	32	neuron	neuron	NOUN
esrj-41988	170	33	wd	wd	X
esrj-41988	170	34	γd	γd	ADP
esrj-41988	170	35	table	table	NOUN
esrj-41988	170	36	4	4	NUM
esrj-41988	170	37	.	.	PUNCT
esrj-41988	171	1	the	the	DET
esrj-41988	171	2	relative	relative	ADJ
esrj-41988	171	3	importance	importance	NOUN
esrj-41988	171	4	of	of	ADP
esrj-41988	171	5	the	the	DET
esrj-41988	171	6	ann	ann	PROPN
esrj-41988	171	7	model	model	NOUN
esrj-41988	171	8	input	input	NOUN
esrj-41988	171	9	variables	variable	NOUN
esrj-41988	171	10	.	.	PUNCT
esrj-41988	172	1	om	om	PROPN
esrj-41988	172	2	dgdwinput	dgdwinput	VERB
esrj-41988	172	3	parameter	parameter	NOUN
esrj-41988	172	4	14.6541.8843.47relative	14.6541.8843.47relative	NUM
esrj-41988	172	5	importance	importance	NOUN
esrj-41988	172	6	(	(	PUNCT
esrj-41988	172	7	%	%	INTJ
esrj-41988	172	8	)	)	PUNCT
esrj-41988	172	9	according	accord	VERB
esrj-41988	172	10	to	to	ADP
esrj-41988	172	11	smith	smith	PROPN
esrj-41988	172	12	(	(	PUNCT
esrj-41988	172	13	1986	1986	NUM
esrj-41988	172	14	)	)	PUNCT
esrj-41988	172	15	,	,	PUNCT
esrj-41988	172	16	if	if	SCONJ
esrj-41988	172	17	a	a	DET
esrj-41988	172	18	proposed	propose	VERB
esrj-41988	172	19	model	model	NOUN
esrj-41988	172	20	provides	provide	VERB
esrj-41988	172	21	r	r	NOUN
esrj-41988	172	22	>	>	X
esrj-41988	172	23	0.8	0.8	NUM
esrj-41988	172	24	and	and	CCONJ
esrj-41988	172	25	the	the	DET
esrj-41988	172	26	error	error	NOUN
esrj-41988	172	27	values	value	NOUN
esrj-41988	172	28	(	(	PUNCT
esrj-41988	172	29	e.g.	e.g.	ADV
esrj-41988	172	30	mae	mae	PROPN
esrj-41988	172	31	and	and	CCONJ
esrj-41988	172	32	rmse	rmse	PROPN
esrj-41988	172	33	)	)	PUNCT
esrj-41988	172	34	are	be	AUX
esrj-41988	172	35	at	at	ADP
esrj-41988	172	36	the	the	DET
esrj-41988	172	37	minimum	minimum	NOUN
esrj-41988	172	38	,	,	PUNCT
esrj-41988	172	39	there	there	PRON
esrj-41988	172	40	is	be	VERB
esrj-41988	172	41	a	a	DET
esrj-41988	172	42	strong	strong	ADJ
esrj-41988	172	43	correlation	correlation	NOUN
esrj-41988	172	44	between	between	ADP
esrj-41988	172	45	the	the	DET
esrj-41988	172	46	measured	measure	VERB
esrj-41988	172	47	and	and	CCONJ
esrj-41988	172	48	predicted	predict	VERB
esrj-41988	172	49	values	value	NOUN
esrj-41988	172	50	.	.	PUNCT
esrj-41988	173	1	the	the	DET
esrj-41988	173	2	training	training	NOUN
esrj-41988	173	3	and	and	CCONJ
esrj-41988	173	4	testing	testing	NOUN
esrj-41988	173	5	results	result	NOUN
esrj-41988	173	6	of	of	ADP
esrj-41988	173	7	the	the	DET
esrj-41988	173	8	ann	ann	PROPN
esrj-41988	173	9	model	model	NOUN
esrj-41988	173	10	are	be	AUX
esrj-41988	173	11	presented	present	VERB
esrj-41988	173	12	in	in	ADP
esrj-41988	173	13	table	table	NOUN
esrj-41988	173	14	5	5	NUM
esrj-41988	173	15	.	.	PUNCT
esrj-41988	174	1	the	the	DET
esrj-41988	174	2	results	result	NOUN
esrj-41988	174	3	show	show	VERB
esrj-41988	174	4	that	that	SCONJ
esrj-41988	174	5	the	the	DET
esrj-41988	174	6	ann	ann	PROPN
esrj-41988	174	7	model	model	NOUN
esrj-41988	174	8	performs	perform	VERB
esrj-41988	174	9	well	well	ADV
esrj-41988	174	10	,	,	PUNCT
esrj-41988	174	11	with	with	ADP
esrj-41988	174	12	r	r	NOUN
esrj-41988	174	13	,	,	PUNCT
esrj-41988	174	14	rmse	rmse	NOUN
esrj-41988	174	15	,	,	PUNCT
esrj-41988	174	16	and	and	CCONJ
esrj-41988	174	17	mae	mae	PROPN
esrj-41988	174	18	at	at	ADP
esrj-41988	174	19	the	the	DET
esrj-41988	174	20	values	value	NOUN
esrj-41988	174	21	of	of	ADP
esrj-41988	174	22	0.93	0.93	NUM
esrj-41988	174	23	,	,	PUNCT
esrj-41988	174	24	0.0187	0.0187	NUM
esrj-41988	174	25	,	,	PUNCT
esrj-41988	174	26	and	and	CCONJ
esrj-41988	174	27	0.0219	0.0219	NUM
esrj-41988	174	28	in	in	ADP
esrj-41988	174	29	the	the	DET
esrj-41988	174	30	training	training	NOUN
esrj-41988	174	31	stage	stage	NOUN
esrj-41988	174	32	and	and	CCONJ
esrj-41988	174	33	0.928	0.928	NUM
esrj-41988	174	34	,	,	PUNCT
esrj-41988	174	35	0.0378	0.0378	NUM
esrj-41988	174	36	,	,	PUNCT
esrj-41988	174	37	and	and	CCONJ
esrj-41988	174	38	0.0404	0.0404	NUM
esrj-41988	174	39	in	in	ADP
esrj-41988	174	40	the	the	DET
esrj-41988	174	41	testing	testing	NOUN
esrj-41988	174	42	stage	stage	NOUN
esrj-41988	174	43	,	,	PUNCT
esrj-41988	174	44	respectively	respectively	ADV
esrj-41988	174	45	.	.	PUNCT
esrj-41988	175	1	anfis	anfis	PROPN
esrj-41988	175	2	model	model	PROPN
esrj-41988	175	3	fig	fig	PROPN
esrj-41988	175	4	.	.	PUNCT
esrj-41988	176	1	5	5	NUM
esrj-41988	176	2	represents	represent	VERB
esrj-41988	176	3	the	the	DET
esrj-41988	176	4	structure	structure	NOUN
esrj-41988	176	5	of	of	ADP
esrj-41988	176	6	the	the	DET
esrj-41988	176	7	proposed	propose	VERB
esrj-41988	176	8	anfis	anfis	PROPN
esrj-41988	176	9	model	model	NOUN
esrj-41988	176	10	in	in	ADP
esrj-41988	176	11	this	this	DET
esrj-41988	176	12	study	study	NOUN
esrj-41988	176	13	.	.	PUNCT
esrj-41988	177	1	the	the	DET
esrj-41988	177	2	fuzzy	fuzzy	ADJ
esrj-41988	177	3	radius	radius	NOUN
esrj-41988	177	4	of	of	ADP
esrj-41988	177	5	this	this	DET
esrj-41988	177	6	model	model	NOUN
esrj-41988	177	7	is	be	AUX
esrj-41988	177	8	0.9	0.9	NUM
esrj-41988	177	9	,	,	PUNCT
esrj-41988	177	10	and	and	CCONJ
esrj-41988	177	11	it	it	PRON
esrj-41988	177	12	is	be	AUX
esrj-41988	177	13	formed	form	VERB
esrj-41988	177	14	of	of	ADP
esrj-41988	177	15	two	two	NUM
esrj-41988	177	16	rules	rule	NOUN
esrj-41988	177	17	.	.	PUNCT
esrj-41988	178	1	fig	fig	NOUN
esrj-41988	178	2	.	.	PUNCT
esrj-41988	179	1	5	5	NUM
esrj-41988	179	2	the	the	DET
esrj-41988	179	3	schematic	schematic	ADJ
esrj-41988	179	4	of	of	ADP
esrj-41988	179	5	anfis	anfis	ADJ
esrj-41988	179	6	architecture	architecture	NOUN
esrj-41988	179	7	based	base	VERB
esrj-41988	179	8	on	on	ADP
esrj-41988	179	9	sugeno	sugeno	NOUN
esrj-41988	179	10	fuzzy	fuzzy	ADJ
esrj-41988	179	11	model	model	NOUN
esrj-41988	179	12	developed	develop	VERB
esrj-41988	179	13	in	in	ADP
esrj-41988	179	14	this	this	DET
esrj-41988	179	15	study	study	NOUN
esrj-41988	179	16	fig	fig	NOUN
esrj-41988	179	17	.	.	PUNCT
esrj-41988	180	1	6	6	NUM
esrj-41988	180	2	compares	compare	VERB
esrj-41988	180	3	the	the	DET
esrj-41988	180	4	anfis	anfis	ADJ
esrj-41988	180	5	predictions	prediction	NOUN
esrj-41988	180	6	with	with	ADP
esrj-41988	180	7	the	the	DET
esrj-41988	180	8	experimental	experimental	ADJ
esrj-41988	180	9	values	value	NOUN
esrj-41988	180	10	of	of	ADP
esrj-41988	180	11	the	the	DET
esrj-41988	180	12	compression	compression	NOUN
esrj-41988	180	13	ratio	ratio	NOUN
esrj-41988	180	14	of	of	ADP
esrj-41988	180	15	msw	msw	NOUN
esrj-41988	180	16	for	for	ADP
esrj-41988	180	17	the	the	DET
esrj-41988	180	18	training	training	NOUN
esrj-41988	180	19	and	and	CCONJ
esrj-41988	180	20	testing	testing	NOUN
esrj-41988	180	21	data	datum	NOUN
esrj-41988	180	22	sets	set	NOUN
esrj-41988	180	23	.	.	PUNCT
esrj-41988	181	1	the	the	DET
esrj-41988	181	2	proposed	propose	VERB
esrj-41988	181	3	model	model	NOUN
esrj-41988	181	4	shows	show	VERB
esrj-41988	181	5	a	a	DET
esrj-41988	181	6	very	very	ADV
esrj-41988	181	7	good	good	ADJ
esrj-41988	181	8	correlation	correlation	NOUN
esrj-41988	181	9	to	to	ADP
esrj-41988	181	10	the	the	DET
esrj-41988	181	11	training	training	NOUN
esrj-41988	181	12	and	and	CCONJ
esrj-41988	181	13	testing	testing	NOUN
esrj-41988	181	14	data	datum	NOUN
esrj-41988	181	15	.	.	PUNCT
esrj-41988	182	1	the	the	DET
esrj-41988	182	2	predictive	predictive	ADJ
esrj-41988	182	3	performance	performance	NOUN
esrj-41988	182	4	of	of	ADP
esrj-41988	182	5	the	the	DET
esrj-41988	182	6	anfis	anfis	PROPN
esrj-41988	182	7	model	model	NOUN
esrj-41988	182	8	is	be	AUX
esrj-41988	182	9	summarized	summarize	VERB
esrj-41988	182	10	in	in	ADP
esrj-41988	182	11	table	table	NOUN
esrj-41988	182	12	5	5	NUM
esrj-41988	182	13	.	.	PUNCT
esrj-41988	183	1	the	the	DET
esrj-41988	183	2	results	result	NOUN
esrj-41988	183	3	demonstrate	demonstrate	VERB
esrj-41988	183	4	that	that	SCONJ
esrj-41988	183	5	the	the	DET
esrj-41988	183	6	anfis	anfis	PROPN
esrj-41988	183	7	model	model	NOUN
esrj-41988	183	8	with	with	ADP
esrj-41988	183	9	a	a	DET
esrj-41988	183	10	high	high	ADJ
esrj-41988	183	11	r	r	NOUN
esrj-41988	183	12	and	and	CCONJ
esrj-41988	183	13	low	low	ADJ
esrj-41988	183	14	rmse	rmse	NOUN
esrj-41988	183	15	and	and	CCONJ
esrj-41988	183	16	mae	mae	PROPN
esrj-41988	183	17	values	value	NOUN
esrj-41988	183	18	is	be	AUX
esrj-41988	183	19	trained	train	VERB
esrj-41988	183	20	well	well	ADV
esrj-41988	183	21	and	and	CCONJ
esrj-41988	183	22	able	able	ADJ
esrj-41988	183	23	to	to	PART
esrj-41988	183	24	estimate	estimate	VERB
esrj-41988	183	25	the	the	DET
esrj-41988	183	26	target	target	NOUN
esrj-41988	183	27	values	value	NOUN
esrj-41988	183	28	with	with	ADP
esrj-41988	183	29	an	an	DET
esrj-41988	183	30	acceptable	acceptable	ADJ
esrj-41988	183	31	degree	degree	NOUN
esrj-41988	183	32	of	of	ADP
esrj-41988	183	33	accuracy	accuracy	NOUN
esrj-41988	183	34	.	.	PUNCT
esrj-41988	184	1	fig.6	fig.6	PROPN
esrj-41988	184	2	measured	measure	VERB
esrj-41988	184	3	versus	versus	ADP
esrj-41988	184	4	predicted	predict	VERB
esrj-41988	184	5	compression	compression	NOUN
esrj-41988	184	6	ratio	ratio	NOUN
esrj-41988	184	7	of	of	ADP
esrj-41988	184	8	msw	msw	NOUN
esrj-41988	184	9	using	use	VERB
esrj-41988	184	10	anfis	anfis	ADJ
esrj-41988	184	11	model	model	NOUN
esrj-41988	184	12	,	,	PUNCT
esrj-41988	184	13	(	(	PUNCT
esrj-41988	184	14	a	a	X
esrj-41988	184	15	)	)	PUNCT
esrj-41988	184	16	training	training	NOUN
esrj-41988	184	17	data	datum	NOUN
esrj-41988	184	18	set	set	VERB
esrj-41988	184	19	,	,	PUNCT
esrj-41988	184	20	(	(	PUNCT
esrj-41988	184	21	b	b	X
esrj-41988	184	22	)	)	PUNCT
esrj-41988	184	23	testing	testing	NOUN
esrj-41988	184	24	data	datum	NOUN
esrj-41988	184	25	test	test	NOUN
esrj-41988	184	26	table	table	NOUN
esrj-41988	184	27	5	5	NUM
esrj-41988	184	28	.	.	PUNCT
esrj-41988	185	1	performance	performance	NOUN
esrj-41988	185	2	of	of	ADP
esrj-41988	185	3	the	the	DET
esrj-41988	185	4	proposed	propose	VERB
esrj-41988	185	5	models	model	NOUN
esrj-41988	185	6	testingtrainingmodel	testingtrainingmodel	VERB
esrj-41988	185	7	rmsemaerrmsemaer	rmsemaerrmsemaer	NOUN
esrj-41988	185	8	0.05150.0480.90.06020.02350.904ann	0.05150.0480.90.06020.02350.904ann	PRON
esrj-41988	185	9	0.03960.03470.9230.02220.01870.923	0.03960.03470.9230.02220.01870.923	NUM
esrj-41988	186	1	anfis	anfi	VERB
esrj-41988	186	2	170	170	NUM
esrj-41988	186	3	ali	ali	PROPN
esrj-41988	186	4	akbar	akbar	PROPN
esrj-41988	186	5	heshmati	heshmati	PROPN
esrj-41988	186	6	r	r	PROPN
esrj-41988	186	7	,	,	PUNCT
esrj-41988	186	8	maryam	maryam	PROPN
esrj-41988	186	9	mokhtari	mokhtari	PROPN
esrj-41988	186	10	,	,	PUNCT
esrj-41988	186	11	nader	nader	PROPN
esrj-41988	186	12	shariatmadari	shariatmadari	PROPN
esrj-41988	186	13	prediction	prediction	NOUN
esrj-41988	186	14	results	result	NOUN
esrj-41988	186	15	obtained	obtain	VERB
esrj-41988	186	16	from	from	ADP
esrj-41988	186	17	the	the	DET
esrj-41988	186	18	ann	ann	PROPN
esrj-41988	186	19	and	and	CCONJ
esrj-41988	186	20	anfis	anfis	PROPN
esrj-41988	186	21	models	model	NOUN
esrj-41988	186	22	are	be	AUX
esrj-41988	186	23	compared	compare	VERB
esrj-41988	186	24	in	in	ADP
esrj-41988	186	25	table	table	NOUN
esrj-41988	186	26	5	5	NUM
esrj-41988	186	27	.	.	PUNCT
esrj-41988	187	1	the	the	DET
esrj-41988	187	2	high	high	ADJ
esrj-41988	187	3	correlation	correlation	NOUN
esrj-41988	187	4	coefficient	coefficient	NOUN
esrj-41988	187	5	and	and	CCONJ
esrj-41988	187	6	the	the	DET
esrj-41988	187	7	lower	low	ADJ
esrj-41988	187	8	error	error	NOUN
esrj-41988	187	9	in	in	ADP
esrj-41988	187	10	both	both	DET
esrj-41988	187	11	models	model	NOUN
esrj-41988	187	12	demonstrate	demonstrate	VERB
esrj-41988	187	13	the	the	DET
esrj-41988	187	14	capability	capability	NOUN
esrj-41988	187	15	of	of	ADP
esrj-41988	187	16	those	those	DET
esrj-41988	187	17	models	model	NOUN
esrj-41988	187	18	in	in	ADP
esrj-41988	187	19	acceptably	acceptably	ADV
esrj-41988	187	20	predicting	predict	VERB
esrj-41988	187	21	the	the	DET
esrj-41988	187	22	compression	compression	NOUN
esrj-41988	187	23	ratio	ratio	NOUN
esrj-41988	187	24	.	.	PUNCT
esrj-41988	188	1	as	as	SCONJ
esrj-41988	188	2	suggested	suggest	VERB
esrj-41988	188	3	by	by	ADP
esrj-41988	188	4	the	the	DET
esrj-41988	188	5	results	result	NOUN
esrj-41988	188	6	,	,	PUNCT
esrj-41988	188	7	the	the	DET
esrj-41988	188	8	error	error	NOUN
esrj-41988	188	9	rates	rate	NOUN
esrj-41988	188	10	of	of	ADP
esrj-41988	188	11	the	the	DET
esrj-41988	188	12	anfis	anfis	ADJ
esrj-41988	188	13	model	model	NOUN
esrj-41988	188	14	are	be	AUX
esrj-41988	188	15	lower	low	ADJ
esrj-41988	188	16	than	than	ADP
esrj-41988	188	17	ann	ann	PROPN
esrj-41988	188	18	model	model	NOUN
esrj-41988	188	19	;	;	PUNCT
esrj-41988	188	20	so	so	ADV
esrj-41988	188	21	,	,	PUNCT
esrj-41988	188	22	anfis	anfis	PROPN
esrj-41988	188	23	has	have	AUX
esrj-41988	188	24	performed	perform	VERB
esrj-41988	188	25	more	more	ADV
esrj-41988	188	26	precisely	precisely	ADV
esrj-41988	188	27	.	.	PUNCT
esrj-41988	189	1	table	table	NOUN
esrj-41988	189	2	5	5	NUM
esrj-41988	189	3	also	also	ADV
esrj-41988	189	4	shows	show	VERB
esrj-41988	189	5	that	that	SCONJ
esrj-41988	189	6	the	the	DET
esrj-41988	189	7	results	result	NOUN
esrj-41988	189	8	obtained	obtain	VERB
esrj-41988	189	9	for	for	ADP
esrj-41988	189	10	each	each	PRON
esrj-41988	189	11	of	of	ADP
esrj-41988	189	12	the	the	DET
esrj-41988	189	13	models	model	NOUN
esrj-41988	189	14	during	during	ADP
esrj-41988	189	15	testing	testing	NOUN
esrj-41988	189	16	are	be	AUX
esrj-41988	189	17	generally	generally	ADV
esrj-41988	189	18	consistent	consistent	ADJ
esrj-41988	189	19	with	with	ADP
esrj-41988	189	20	those	those	PRON
esrj-41988	189	21	obtained	obtain	VERB
esrj-41988	189	22	during	during	ADP
esrj-41988	189	23	training	training	NOUN
esrj-41988	189	24	.	.	PUNCT
esrj-41988	190	1	this	this	PRON
esrj-41988	190	2	suggests	suggest	VERB
esrj-41988	190	3	that	that	SCONJ
esrj-41988	190	4	the	the	DET
esrj-41988	190	5	proposed	propose	VERB
esrj-41988	190	6	models	model	NOUN
esrj-41988	190	7	are	be	AUX
esrj-41988	190	8	able	able	ADJ
esrj-41988	190	9	to	to	PART
esrj-41988	190	10	generalize	generalize	VERB
esrj-41988	190	11	within	within	ADP
esrj-41988	190	12	the	the	DET
esrj-41988	190	13	range	range	NOUN
esrj-41988	190	14	of	of	ADP
esrj-41988	190	15	data	datum	NOUN
esrj-41988	190	16	used	use	VERB
esrj-41988	190	17	for	for	ADP
esrj-41988	190	18	training	training	NOUN
esrj-41988	190	19	.	.	PUNCT
esrj-41988	191	1	it	it	PRON
esrj-41988	191	2	is	be	AUX
esrj-41988	191	3	noteworthy	noteworthy	ADJ
esrj-41988	191	4	that	that	SCONJ
esrj-41988	191	5	,	,	PUNCT
esrj-41988	191	6	although	although	SCONJ
esrj-41988	191	7	the	the	DET
esrj-41988	191	8	predictive	predictive	ADJ
esrj-41988	191	9	capability	capability	NOUN
esrj-41988	191	10	of	of	ADP
esrj-41988	191	11	the	the	DET
esrj-41988	191	12	proposed	propose	VERB
esrj-41988	191	13	models	model	NOUN
esrj-41988	191	14	is	be	AUX
esrj-41988	191	15	limited	limit	VERB
esrj-41988	191	16	to	to	ADP
esrj-41988	191	17	the	the	DET
esrj-41988	191	18	range	range	NOUN
esrj-41988	191	19	of	of	ADP
esrj-41988	191	20	the	the	DET
esrj-41988	191	21	data	datum	NOUN
esrj-41988	191	22	used	use	VERB
esrj-41988	191	23	for	for	ADP
esrj-41988	191	24	their	their	PRON
esrj-41988	191	25	calibration	calibration	NOUN
esrj-41988	191	26	,	,	PUNCT
esrj-41988	191	27	if	if	SCONJ
esrj-41988	191	28	a	a	DET
esrj-41988	191	29	new	new	ADJ
esrj-41988	191	30	data	datum	NOUN
esrj-41988	191	31	set	set	VERB
esrj-41988	191	32	becomes	become	VERB
esrj-41988	191	33	available	available	ADJ
esrj-41988	191	34	,	,	PUNCT
esrj-41988	191	35	these	these	DET
esrj-41988	191	36	models	model	NOUN
esrj-41988	191	37	can	can	AUX
esrj-41988	191	38	be	be	AUX
esrj-41988	191	39	retrained	retrain	VERB
esrj-41988	191	40	and	and	CCONJ
esrj-41988	191	41	updated	update	VERB
esrj-41988	191	42	easily	easily	ADV
esrj-41988	191	43	without	without	ADP
esrj-41988	191	44	repeating	repeat	VERB
esrj-41988	191	45	the	the	DET
esrj-41988	191	46	development	development	NOUN
esrj-41988	191	47	procedures	procedure	NOUN
esrj-41988	191	48	from	from	ADP
esrj-41988	191	49	the	the	DET
esrj-41988	191	50	beginning	beginning	NOUN
esrj-41988	191	51	.	.	PUNCT
esrj-41988	192	1	conclusions	conclusion	NOUN
esrj-41988	192	2	in	in	ADP
esrj-41988	192	3	this	this	DET
esrj-41988	192	4	research	research	NOUN
esrj-41988	192	5	,	,	PUNCT
esrj-41988	192	6	anfis	anfis	PROPN
esrj-41988	192	7	and	and	CCONJ
esrj-41988	192	8	ann	ann	PROPN
esrj-41988	192	9	models	model	NOUN
esrj-41988	192	10	were	be	AUX
esrj-41988	192	11	used	use	VERB
esrj-41988	192	12	to	to	PART
esrj-41988	192	13	predict	predict	VERB
esrj-41988	192	14	the	the	DET
esrj-41988	192	15	compression	compression	NOUN
esrj-41988	192	16	ratio	ratio	NOUN
esrj-41988	192	17	of	of	ADP
esrj-41988	192	18	municipal	municipal	ADJ
esrj-41988	192	19	solid	solid	ADJ
esrj-41988	192	20	waste	waste	NOUN
esrj-41988	192	21	.	.	PUNCT
esrj-41988	193	1	the	the	DET
esrj-41988	193	2	models	model	NOUN
esrj-41988	193	3	were	be	AUX
esrj-41988	193	4	developed	develop	VERB
esrj-41988	193	5	based	base	VERB
esrj-41988	193	6	on	on	ADP
esrj-41988	193	7	a	a	DET
esrj-41988	193	8	reliable	reliable	ADJ
esrj-41988	193	9	database	database	NOUN
esrj-41988	193	10	obtained	obtain	VERB
esrj-41988	193	11	from	from	ADP
esrj-41988	193	12	the	the	DET
esrj-41988	193	13	literature	literature	NOUN
esrj-41988	193	14	.	.	PUNCT
esrj-41988	194	1	the	the	DET
esrj-41988	194	2	following	follow	VERB
esrj-41988	194	3	emerge	emerge	VERB
esrj-41988	194	4	as	as	ADP
esrj-41988	194	5	the	the	DET
esrj-41988	194	6	conclusions	conclusion	NOUN
esrj-41988	194	7	of	of	ADP
esrj-41988	194	8	the	the	DET
esrj-41988	194	9	study	study	NOUN
esrj-41988	194	10	:	:	PUNCT
esrj-41988	194	11	1	1	NUM
esrj-41988	194	12	the	the	DET
esrj-41988	194	13	proposed	propose	VERB
esrj-41988	194	14	models	model	NOUN
esrj-41988	194	15	developed	develop	VERB
esrj-41988	194	16	through	through	ADP
esrj-41988	194	17	ann	ann	PROPN
esrj-41988	194	18	and	and	CCONJ
esrj-41988	194	19	anfis	anfi	VERB
esrj-41988	194	20	modeling	modeling	NOUN
esrj-41988	194	21	techniques	technique	NOUN
esrj-41988	194	22	can	can	AUX
esrj-41988	194	23	precisely	precisely	ADV
esrj-41988	194	24	predict	predict	VERB
esrj-41988	194	25	the	the	DET
esrj-41988	194	26	compression	compression	NOUN
esrj-41988	194	27	ratio	ratio	NOUN
esrj-41988	194	28	of	of	ADP
esrj-41988	194	29	msw	msw	NOUN
esrj-41988	194	30	.	.	PUNCT
esrj-41988	194	31	2	2	NUM
esrj-41988	195	1	the	the	DET
esrj-41988	195	2	relative	relative	ADJ
esrj-41988	195	3	importance	importance	NOUN
esrj-41988	195	4	study	study	NOUN
esrj-41988	195	5	indicates	indicate	VERB
esrj-41988	195	6	that	that	SCONJ
esrj-41988	195	7	dry	dry	ADJ
esrj-41988	195	8	unit	unit	NOUN
esrj-41988	195	9	weight	weight	NOUN
esrj-41988	195	10	and	and	CCONJ
esrj-41988	195	11	dry	dry	ADJ
esrj-41988	195	12	weight	weight	NOUN
esrj-41988	195	13	water	water	NOUN
esrj-41988	195	14	content	content	NOUN
esrj-41988	195	15	have	have	VERB
esrj-41988	195	16	a	a	DET
esrj-41988	195	17	significant	significant	ADJ
esrj-41988	195	18	effect	effect	NOUN
esrj-41988	195	19	on	on	ADP
esrj-41988	195	20	the	the	DET
esrj-41988	195	21	compression	compression	NOUN
esrj-41988	195	22	ratio	ratio	NOUN
esrj-41988	195	23	of	of	ADP
esrj-41988	195	24	msw	msw	NOUN
esrj-41988	195	25	.	.	PUNCT
esrj-41988	195	26	3	3	NUM
esrj-41988	195	27	a	a	DET
esrj-41988	195	28	major	major	ADJ
esrj-41988	195	29	advantage	advantage	NOUN
esrj-41988	195	30	of	of	ADP
esrj-41988	195	31	ann	ann	PROPN
esrj-41988	195	32	and	and	CCONJ
esrj-41988	195	33	anfis	anfis	PROPN
esrj-41988	195	34	models	model	NOUN
esrj-41988	195	35	is	be	AUX
esrj-41988	195	36	that	that	SCONJ
esrj-41988	195	37	,	,	PUNCT
esrj-41988	195	38	once	once	ADV
esrj-41988	195	39	a	a	DET
esrj-41988	195	40	new	new	ADJ
esrj-41988	195	41	set	set	NOUN
esrj-41988	195	42	of	of	ADP
esrj-41988	195	43	data	datum	NOUN
esrj-41988	195	44	becomes	become	VERB
esrj-41988	195	45	available	available	ADJ
esrj-41988	195	46	,	,	PUNCT
esrj-41988	195	47	they	they	PRON
esrj-41988	195	48	can	can	AUX
esrj-41988	195	49	be	be	AUX
esrj-41988	195	50	easily	easily	ADV
esrj-41988	195	51	updated	update	VERB
esrj-41988	195	52	and	and	CCONJ
esrj-41988	195	53	improved	improve	VERB
esrj-41988	195	54	without	without	ADP
esrj-41988	195	55	repeating	repeat	VERB
esrj-41988	195	56	the	the	DET
esrj-41988	195	57	development	development	NOUN
esrj-41988	195	58	procedures	procedure	NOUN
esrj-41988	195	59	from	from	ADP
esrj-41988	195	60	the	the	DET
esrj-41988	195	61	beginning	beginning	NOUN
esrj-41988	195	62	.	.	PUNCT
esrj-41988	196	1	references	reference	NOUN
esrj-41988	196	2	bareither	bareither	PROPN
esrj-41988	196	3	,	,	PUNCT
esrj-41988	196	4	c.a	c.a	PROPN
esrj-41988	196	5	.	.	PROPN
esrj-41988	196	6	,	,	PUNCT
esrj-41988	196	7	benson	benson	PROPN
esrj-41988	196	8	,	,	PUNCT
esrj-41988	196	9	c.h	c.h	PROPN
esrj-41988	196	10	.	.	PROPN
esrj-41988	196	11	and	and	CCONJ
esrj-41988	196	12	tuncer	tuncer	PROPN
esrj-41988	196	13	,	,	PUNCT
esrj-41988	196	14	t.b	t.b	PROPN
esrj-41988	196	15	.	.	PROPN
esrj-41988	196	16	(	(	PUNCT
esrj-41988	196	17	2012	2012	NUM
esrj-41988	196	18	)	)	PUNCT
esrj-41988	196	19	.	.	PUNCT
esrj-41988	197	1	compression	compression	NOUN
esrj-41988	197	2	behavior	behavior	NOUN
esrj-41988	197	3	of	of	ADP
esrj-41988	197	4	municipal	municipal	ADJ
esrj-41988	197	5	waste	waste	NOUN
esrj-41988	197	6	:	:	PUNCT
esrj-41988	197	7	immediate	immediate	ADJ
esrj-41988	197	8	compression	compression	NOUN
esrj-41988	197	9	,	,	PUNCT
esrj-41988	197	10	journal	journal	NOUN
esrj-41988	197	11	geotechnical	geotechnical	ADJ
esrj-41988	197	12	geoenvironmental	geoenvironmental	ADJ
esrj-41988	197	13	engineering	engineering	NOUN
esrj-41988	197	14	.	.	PUNCT
esrj-41988	198	1	138	138	NUM
esrj-41988	198	2	,	,	PUNCT
esrj-41988	198	3	1047	1047	NUM
esrj-41988	198	4	-	-	SYM
esrj-41988	198	5	1062	1062	NUM
esrj-41988	198	6	.	.	PUNCT
esrj-41988	199	1	beaven	beaven	VERB
esrj-41988	199	2	,	,	PUNCT
esrj-41988	199	3	r.p	r.p	PROPN
esrj-41988	199	4	.	.	PROPN
esrj-41988	199	5	and	and	CCONJ
esrj-41988	199	6	powrie	powrie	PROPN
esrj-41988	199	7	,	,	PUNCT
esrj-41988	199	8	w.	w.	NOUN
esrj-41988	199	9	(	(	PUNCT
esrj-41988	199	10	1995	1995	NUM
esrj-41988	199	11	)	)	PUNCT
esrj-41988	199	12	.	.	PUNCT
esrj-41988	200	1	determination	determination	NOUN
esrj-41988	200	2	of	of	ADP
esrj-41988	200	3	the	the	DET
esrj-41988	200	4	hydrogeological	hydrogeological	ADJ
esrj-41988	200	5	and	and	CCONJ
esrj-41988	200	6	geotechnical	geotechnical	ADJ
esrj-41988	200	7	properties	property	NOUN
esrj-41988	200	8	of	of	ADP
esrj-41988	200	9	refuse	refuse	VERB
esrj-41988	200	10	using	use	VERB
esrj-41988	200	11	a	a	DET
esrj-41988	200	12	large	large	ADJ
esrj-41988	200	13	scale	scale	NOUN
esrj-41988	200	14	compression	compression	NOUN
esrj-41988	200	15	cell	cell	NOUN
esrj-41988	200	16	,	,	PUNCT
esrj-41988	200	17	proceedings	proceeding	NOUN
esrj-41988	200	18	of	of	ADP
esrj-41988	200	19	the	the	DET
esrj-41988	200	20	5th	5th	ADJ
esrj-41988	200	21	international	international	PROPN
esrj-41988	200	22	sardinia	sardinia	PROPN
esrj-41988	200	23	landfill	landfill	PROPN
esrj-41988	200	24	conference	conference	PROPN
esrj-41988	200	25	,	,	PUNCT
esrj-41988	200	26	s.	s.	PROPN
esrj-41988	200	27	margherita	margherita	PROPN
esrj-41988	200	28	dipula	dipula	PROPN
esrj-41988	200	29	,	,	PUNCT
esrj-41988	200	30	cagliari	cagliari	PROPN
esrj-41988	200	31	,	,	PUNCT
esrj-41988	200	32	italy	italy	PROPN
esrj-41988	200	33	,	,	PUNCT
esrj-41988	200	34	745	745	NUM
esrj-41988	200	35	-	-	SYM
esrj-41988	200	36	760	760	NUM
esrj-41988	200	37	.	.	PUNCT
esrj-41988	201	1	chen	chen	PROPN
esrj-41988	201	2	,	,	PUNCT
esrj-41988	201	3	r.h	r.h	PROPN
esrj-41988	201	4	.	.	PROPN
esrj-41988	201	5	and	and	CCONJ
esrj-41988	201	6	lee	lee	PROPN
esrj-41988	201	7	,	,	PUNCT
esrj-41988	201	8	y.s	y.s	PROPN
esrj-41988	201	9	.	.	PROPN
esrj-41988	201	10	(	(	PUNCT
esrj-41988	201	11	1995	1995	NUM
esrj-41988	201	12	)	)	PUNCT
esrj-41988	201	13	.	.	PUNCT
esrj-41988	202	1	settlement	settlement	NOUN
esrj-41988	202	2	analysis	analysis	NOUN
esrj-41988	202	3	of	of	ADP
esrj-41988	202	4	a	a	DET
esrj-41988	202	5	waste	waste	NOUN
esrj-41988	202	6	landfill	landfill	NOUN
esrj-41988	202	7	,	,	PUNCT
esrj-41988	202	8	proceedings	proceeding	NOUN
esrj-41988	202	9	of	of	ADP
esrj-41988	202	10	the	the	DET
esrj-41988	202	11	3th	3th	ADJ
esrj-41988	202	12	international	international	ADJ
esrj-41988	202	13	symposium	symposium	NOUN
esrj-41988	202	14	on	on	ADP
esrj-41988	202	15	environmental	environmental	ADJ
esrj-41988	202	16	geotechnology	geotechnology	NOUN
esrj-41988	202	17	,	,	PUNCT
esrj-41988	202	18	san	san	PROPN
esrj-41988	202	19	diego	diego	PROPN
esrj-41988	202	20	,	,	PUNCT
esrj-41988	202	21	ca	ca	PROPN
esrj-41988	202	22	,	,	PUNCT
esrj-41988	202	23	usa	usa	PROPN
esrj-41988	202	24	,	,	PUNCT
esrj-41988	202	25	539	539	NUM
esrj-41988	202	26	-	-	SYM
esrj-41988	202	27	553	553	NUM
esrj-41988	202	28	.	.	PUNCT
esrj-41988	203	1	chen	chen	PROPN
esrj-41988	203	2	,	,	PUNCT
esrj-41988	203	3	y.m	y.m	PROPN
esrj-41988	203	4	.	.	PROPN
esrj-41988	203	5	,	,	PUNCT
esrj-41988	203	6	zhan	zhan	PROPN
esrj-41988	203	7	,	,	PUNCT
esrj-41988	203	8	t.l.t	t.l.t	NOUN
esrj-41988	203	9	.	.	PROPN
esrj-41988	203	10	,	,	PUNCT
esrj-41988	203	11	wei	wei	PROPN
esrj-41988	203	12	,	,	PUNCT
esrj-41988	203	13	h.y	h.y	PROPN
esrj-41988	203	14	.	.	PROPN
esrj-41988	203	15	and	and	CCONJ
esrj-41988	203	16	ke	ke	PROPN
esrj-41988	203	17	,	,	PUNCT
esrj-41988	203	18	h.	h.	PROPN
esrj-41988	203	19	(	(	PUNCT
esrj-41988	203	20	2009).aging	2009).aging	NOUN
esrj-41988	203	21	and	and	CCONJ
esrj-41988	203	22	compressibility	compressibility	NOUN
esrj-41988	203	23	of	of	ADP
esrj-41988	203	24	municipal	municipal	ADJ
esrj-41988	203	25	solid	solid	ADJ
esrj-41988	203	26	wastes	waste	NOUN
esrj-41988	203	27	,	,	PUNCT
esrj-41988	203	28	waste	waste	NOUN
esrj-41988	203	29	management	management	NOUN
esrj-41988	203	30	journal	journal	NOUN
esrj-41988	203	31	.	.	PUNCT
esrj-41988	204	1	29	29	NUM
esrj-41988	204	2	,	,	PUNCT
esrj-41988	204	3	86	86	NUM
esrj-41988	204	4	-	-	SYM
esrj-41988	204	5	95	95	NUM
esrj-41988	204	6	.	.	PUNCT
esrj-41988	205	1	chen	chen	PROPN
esrj-41988	205	2	,	,	PUNCT
esrj-41988	205	3	r.h	r.h	PROPN
esrj-41988	205	4	.	.	PROPN
esrj-41988	205	5	,	,	PUNCT
esrj-41988	205	6	chen	chen	PROPN
esrj-41988	205	7	,	,	PUNCT
esrj-41988	205	8	k.s	k.s	PROPN
esrj-41988	205	9	.	.	PROPN
esrj-41988	205	10	and	and	CCONJ
esrj-41988	205	11	liu	liu	PROPN
esrj-41988	205	12	,	,	PUNCT
esrj-41988	205	13	c.n	c.n	PROPN
esrj-41988	205	14	.	.	PROPN
esrj-41988	205	15	(	(	PUNCT
esrj-41988	205	16	2010	2010	NUM
esrj-41988	205	17	)	)	PUNCT
esrj-41988	205	18	.	.	PUNCT
esrj-41988	206	1	study	study	NOUN
esrj-41988	206	2	of	of	ADP
esrj-41988	206	3	the	the	DET
esrj-41988	206	4	mechanical	mechanical	ADJ
esrj-41988	206	5	compression	compression	NOUN
esrj-41988	206	6	behavior	behavior	NOUN
esrj-41988	206	7	of	of	ADP
esrj-41988	206	8	municipal	municipal	ADJ
esrj-41988	206	9	solid	solid	ADJ
esrj-41988	206	10	waste	waste	NOUN
esrj-41988	206	11	by	by	ADP
esrj-41988	206	12	temperaturecontrolled	temperaturecontrolle	VERB
esrj-41988	206	13	compression	compression	NOUN
esrj-41988	206	14	tests	test	NOUN
esrj-41988	206	15	,	,	PUNCT
esrj-41988	206	16	journal	journal	NOUN
esrj-41988	206	17	of	of	ADP
esrj-41988	206	18	environmental	environmental	ADJ
esrj-41988	206	19	earth	earth	NOUN
esrj-41988	206	20	sciences	science	NOUN
esrj-41988	206	21	.	.	PUNCT
esrj-41988	207	1	61	61	NUM
esrj-41988	207	2	,	,	PUNCT
esrj-41988	207	3	1677	1677	NUM
esrj-41988	207	4	-	-	SYM
esrj-41988	207	5	1690	1690	NUM
esrj-41988	207	6	.	.	PUNCT
esrj-41988	208	1	chiu	chiu	PROPN
esrj-41988	208	2	,	,	PUNCT
esrj-41988	208	3	s.l	s.l	PROPN
esrj-41988	208	4	.	.	PROPN
esrj-41988	208	5	(	(	PUNCT
esrj-41988	208	6	1994	1994	NUM
esrj-41988	208	7	)	)	PUNCT
esrj-41988	208	8	.	.	PUNCT
esrj-41988	209	1	fuzzy	fuzzy	ADJ
esrj-41988	209	2	model	model	NOUN
esrj-41988	209	3	identification	identification	NOUN
esrj-41988	209	4	based	base	VERB
esrj-41988	209	5	on	on	ADP
esrj-41988	209	6	cluster	cluster	NOUN
esrj-41988	209	7	estimation	estimation	NOUN
esrj-41988	209	8	,	,	PUNCT
esrj-41988	209	9	journal	journal	NOUN
esrj-41988	209	10	of	of	ADP
esrj-41988	209	11	intelligent	intelligent	ADJ
esrj-41988	209	12	fuzzy	fuzzy	ADJ
esrj-41988	209	13	systems	system	NOUN
esrj-41988	209	14	.	.	PUNCT
esrj-41988	210	1	2	2	NUM
esrj-41988	210	2	,	,	PUNCT
esrj-41988	210	3	267	267	NUM
esrj-41988	210	4	-	-	SYM
esrj-41988	210	5	278	278	NUM
esrj-41988	210	6	.	.	PUNCT
esrj-41988	211	1	durmusoglu	durmusoglu	PROPN
esrj-41988	211	2	,	,	PUNCT
esrj-41988	211	3	e.	e.	PROPN
esrj-41988	211	4	,	,	PUNCT
esrj-41988	211	5	sanchez	sanchez	PROPN
esrj-41988	211	6	,	,	PUNCT
esrj-41988	211	7	i.	i.	PROPN
esrj-41988	211	8	and	and	CCONJ
esrj-41988	211	9	corapcioglu	corapcioglu	PROPN
esrj-41988	211	10	,	,	PUNCT
esrj-41988	211	11	m.	m.	NOUN
esrj-41988	211	12	(	(	PUNCT
esrj-41988	211	13	2006	2006	NUM
esrj-41988	211	14	)	)	PUNCT
esrj-41988	211	15	.	.	PUNCT
esrj-41988	212	1	permeability	permeability	NOUN
esrj-41988	212	2	and	and	CCONJ
esrj-41988	212	3	compression	compression	NOUN
esrj-41988	212	4	characteristics	characteristic	NOUN
esrj-41988	212	5	of	of	ADP
esrj-41988	212	6	municipal	municipal	ADJ
esrj-41988	212	7	solid	solid	ADJ
esrj-41988	212	8	waste	waste	NOUN
esrj-41988	212	9	samples	sample	NOUN
esrj-41988	212	10	,	,	PUNCT
esrj-41988	212	11	environmental	environmental	ADJ
esrj-41988	212	12	geology	geology	NOUN
esrj-41988	212	13	.	.	PUNCT
esrj-41988	213	1	50	50	NUM
esrj-41988	213	2	,	,	PUNCT
esrj-41988	213	3	773	773	NUM
esrj-41988	213	4	-	-	SYM
esrj-41988	213	5	786	786	NUM
esrj-41988	213	6	.	.	PUNCT
esrj-41988	213	7	edgers	edger	NOUN
esrj-41988	213	8	,	,	PUNCT
esrj-41988	213	9	l.	l.	PROPN
esrj-41988	213	10	,	,	PUNCT
esrj-41988	213	11	noble	noble	ADJ
esrj-41988	213	12	,	,	PUNCT
esrj-41988	213	13	j.j	j.j	PROPN
esrj-41988	213	14	.	.	PROPN
esrj-41988	213	15	and	and	CCONJ
esrj-41988	213	16	williams	williams	PROPN
esrj-41988	213	17	,	,	PUNCT
esrj-41988	213	18	e.	e.	PROPN
esrj-41988	213	19	(	(	PUNCT
esrj-41988	213	20	1992	1992	NUM
esrj-41988	213	21	)	)	PUNCT
esrj-41988	213	22	.	.	PUNCT
esrj-41988	214	1	a	a	DET
esrj-41988	214	2	biologic	biologic	NOUN
esrj-41988	214	3	model	model	NOUN
esrj-41988	214	4	for	for	ADP
esrj-41988	214	5	longterm	longterm	ADJ
esrj-41988	214	6	settlements	settlement	NOUN
esrj-41988	214	7	in	in	ADP
esrj-41988	214	8	landfills	landfill	NOUN
esrj-41988	214	9	,	,	PUNCT
esrj-41988	214	10	proceedings	proceeding	NOUN
esrj-41988	214	11	of	of	ADP
esrj-41988	214	12	the	the	DET
esrj-41988	214	13	environmental	environmental	PROPN
esrj-41988	214	14	geotechnology	geotechnology	NOUN
esrj-41988	214	15	,	,	PUNCT
esrj-41988	214	16	balkema	balkema	PROPN
esrj-41988	214	17	,	,	PUNCT
esrj-41988	214	18	rotterdam	rotterdam	PROPN
esrj-41988	214	19	,	,	PUNCT
esrj-41988	214	20	the	the	DET
esrj-41988	214	21	netherlands	netherlands	PROPN
esrj-41988	214	22	,	,	PUNCT
esrj-41988	214	23	177	177	NUM
esrj-41988	214	24	-	-	SYM
esrj-41988	214	25	183	183	NUM
esrj-41988	214	26	.	.	PUNCT
esrj-41988	215	1	el	el	PROPN
esrj-41988	215	2	-	-	PUNCT
esrj-41988	215	3	fadel	fadel	PROPN
esrj-41988	215	4	,	,	PUNCT
esrj-41988	215	5	m.	m.	NOUN
esrj-41988	215	6	and	and	CCONJ
esrj-41988	215	7	khoury	khoury	PROPN
esrj-41988	215	8	,	,	PUNCT
esrj-41988	215	9	r	r	NOUN
esrj-41988	215	10	.(2000	.(2000	NUM
esrj-41988	215	11	)	)	PUNCT
esrj-41988	215	12	.	.	PUNCT
esrj-41988	216	1	modeling	model	VERB
esrj-41988	216	2	settlement	settlement	NOUN
esrj-41988	216	3	in	in	ADP
esrj-41988	216	4	msw	msw	NOUN
esrj-41988	216	5	landfills	landfill	NOUN
esrj-41988	216	6	:	:	PUNCT
esrj-41988	216	7	a	a	DET
esrj-41988	216	8	critical	critical	ADJ
esrj-41988	216	9	review	review	NOUN
esrj-41988	216	10	,	,	PUNCT
esrj-41988	216	11	environmental	environmental	ADJ
esrj-41988	216	12	science	science	NOUN
esrj-41988	216	13	and	and	CCONJ
esrj-41988	216	14	technology	technology	NOUN
esrj-41988	216	15	.	.	PUNCT
esrj-41988	217	1	30	30	NUM
esrj-41988	217	2	,	,	PUNCT
esrj-41988	217	3	361	361	NUM
esrj-41988	217	4	-	-	SYM
esrj-41988	217	5	327	327	NUM
esrj-41988	217	6	.	.	PUNCT
esrj-41988	218	1	erzin	erzin	PROPN
esrj-41988	218	2	,	,	PUNCT
esrj-41988	218	3	y.and	y.and	PROPN
esrj-41988	218	4	gul	gul	PROPN
esrj-41988	218	5	,	,	PUNCT
esrj-41988	218	6	t.o	t.o	PROPN
esrj-41988	218	7	.	.	PROPN
esrj-41988	218	8	(	(	PUNCT
esrj-41988	218	9	2012	2012	NUM
esrj-41988	218	10	)	)	PUNCT
esrj-41988	218	11	.	.	PUNCT
esrj-41988	219	1	the	the	DET
esrj-41988	219	2	use	use	NOUN
esrj-41988	219	3	of	of	ADP
esrj-41988	219	4	neural	neural	ADJ
esrj-41988	219	5	networks	network	NOUN
esrj-41988	219	6	for	for	ADP
esrj-41988	219	7	the	the	DET
esrj-41988	219	8	prediction	prediction	NOUN
esrj-41988	219	9	of	of	ADP
esrj-41988	219	10	the	the	DET
esrj-41988	219	11	settlement	settlement	NOUN
esrj-41988	219	12	of	of	ADP
esrj-41988	219	13	one	one	NUM
esrj-41988	219	14	way	way	NOUN
esrj-41988	219	15	footings	footing	NOUN
esrj-41988	219	16	on	on	ADP
esrj-41988	219	17	cohesionless	cohesionless	NOUN
esrj-41988	219	18	soils	soil	NOUN
esrj-41988	219	19	based	base	VERB
esrj-41988	219	20	on	on	ADP
esrj-41988	219	21	standard	standard	ADJ
esrj-41988	219	22	penetration	penetration	NOUN
esrj-41988	219	23	test	test	NOUN
esrj-41988	219	24	,	,	PUNCT
esrj-41988	219	25	neural	neural	ADJ
esrj-41988	219	26	computing	computing	NOUN
esrj-41988	219	27	and	and	CCONJ
esrj-41988	219	28	applications	application	NOUN
esrj-41988	219	29	,	,	PUNCT
esrj-41988	219	30	doi	doi	X
esrj-41988	219	31	10.1007	10.1007	NUM
esrj-41988	219	32	/	/	SYM
esrj-41988	219	33	s00521	s00521	NOUN
esrj-41988	219	34	-	-	PUNCT
esrj-41988	219	35	012	012	NUM
esrj-41988	219	36	-	-	PUNCT
esrj-41988	219	37	1302	1302	NUM
esrj-41988	219	38	-	-	PUNCT
esrj-41988	219	39	x.	x.	NOUN
esrj-41988	219	40	gabr	gabr	NOUN
esrj-41988	219	41	,	,	PUNCT
esrj-41988	219	42	m.a	m.a	PROPN
esrj-41988	219	43	.	.	PROPN
esrj-41988	219	44	and	and	CCONJ
esrj-41988	219	45	valero	valero	PROPN
esrj-41988	219	46	,	,	PUNCT
esrj-41988	219	47	s.n	s.n	PROPN
esrj-41988	219	48	.	.	PROPN
esrj-41988	219	49	(	(	PUNCT
esrj-41988	219	50	1995	1995	NUM
esrj-41988	219	51	)	)	PUNCT
esrj-41988	219	52	.	.	PUNCT
esrj-41988	220	1	geotechnical	geotechnical	ADJ
esrj-41988	220	2	properties	property	NOUN
esrj-41988	220	3	of	of	ADP
esrj-41988	220	4	municipal	municipal	ADJ
esrj-41988	220	5	solid	solid	ADJ
esrj-41988	220	6	waste	waste	NOUN
esrj-41988	220	7	,	,	PUNCT
esrj-41988	220	8	geotechnical	geotechnical	ADJ
esrj-41988	220	9	testing	testing	NOUN
esrj-41988	220	10	journal.18	journal.18	NOUN
esrj-41988	220	11	,	,	PUNCT
esrj-41988	220	12	241	241	NUM
esrj-41988	220	13	-	-	SYM
esrj-41988	220	14	251	251	NUM
esrj-41988	220	15	.	.	PUNCT
esrj-41988	221	1	hanna	hanna	PROPN
esrj-41988	221	2	,	,	PUNCT
esrj-41988	221	3	a.	a.	NOUN
esrj-41988	221	4	m.	m.	PROPN
esrj-41988	221	5	derin	derin	PROPN
esrj-41988	221	6	,	,	PUNCT
esrj-41988	221	7	u.	u.	NOUN
esrj-41988	221	8	and	and	CCONJ
esrj-41988	221	9	saygili	saygili	NOUN
esrj-41988	221	10	,	,	PUNCT
esrj-41988	221	11	g.	g.	PROPN
esrj-41988	221	12	(	(	PUNCT
esrj-41988	221	13	2007	2007	NUM
esrj-41988	221	14	)	)	PUNCT
esrj-41988	221	15	.	.	PUNCT
esrj-41988	222	1	neural	neural	ADJ
esrj-41988	222	2	network	network	NOUN
esrj-41988	222	3	model	model	NOUN
esrj-41988	222	4	for	for	ADP
esrj-41988	222	5	liquefaction	liquefaction	NOUN
esrj-41988	222	6	potential	potential	NOUN
esrj-41988	222	7	in	in	ADP
esrj-41988	222	8	soil	soil	NOUN
esrj-41988	222	9	deposits	deposit	NOUN
esrj-41988	222	10	using	use	VERB
esrj-41988	222	11	turkey	turkey	PROPN
esrj-41988	222	12	and	and	CCONJ
esrj-41988	222	13	taiwan	taiwan	PROPN
esrj-41988	222	14	earthquake	earthquake	NOUN
esrj-41988	222	15	data	datum	NOUN
esrj-41988	222	16	.	.	PUNCT
esrj-41988	223	1	soil	soil	NOUN
esrj-41988	223	2	dynamics	dynamic	NOUN
esrj-41988	223	3	and	and	CCONJ
esrj-41988	223	4	earthquake	earthquake	NOUN
esrj-41988	223	5	engineering	engineering	NOUN
esrj-41988	223	6	,	,	PUNCT
esrj-41988	223	7	27	27	NUM
esrj-41988	223	8	,	,	PUNCT
esrj-41988	223	9	521	521	NUM
esrj-41988	223	10	-	-	SYM
esrj-41988	223	11	540	540	NUM
esrj-41988	223	12	.	.	PUNCT
esrj-41988	224	1	heshmati	heshmati	PROPN
esrj-41988	224	2	,	,	PUNCT
esrj-41988	224	3	a.a.r	a.a.r	PROPN
esrj-41988	224	4	.	.	PROPN
esrj-41988	224	5	,	,	PUNCT
esrj-41988	224	6	alavi	alavi	PROPN
esrj-41988	224	7	,	,	PUNCT
esrj-41988	224	8	a.h	a.h	PROPN
esrj-41988	224	9	.	.	PROPN
esrj-41988	224	10	,	,	PUNCT
esrj-41988	224	11	keramati	keramati	PROPN
esrj-41988	224	12	,	,	PUNCT
esrj-41988	224	13	m.	m.	NOUN
esrj-41988	224	14	and	and	CCONJ
esrj-41988	224	15	gandomi	gandomi	NOUN
esrj-41988	224	16	,	,	PUNCT
esrj-41988	224	17	a.h	a.h	PROPN
esrj-41988	224	18	.	.	PROPN
esrj-41988	224	19	(	(	PUNCT
esrj-41988	224	20	2009	2009	NUM
esrj-41988	224	21	)	)	PUNCT
esrj-41988	224	22	.	.	PUNCT
esrj-41988	225	1	a	a	DET
esrj-41988	225	2	radial	radial	ADJ
esrj-41988	225	3	basis	basis	NOUN
esrj-41988	225	4	function	function	NOUN
esrj-41988	225	5	neural	neural	ADJ
esrj-41988	225	6	network	network	NOUN
esrj-41988	225	7	approach	approach	NOUN
esrj-41988	225	8	for	for	ADP
esrj-41988	225	9	compressive	compressive	ADJ
esrj-41988	225	10	strength	strength	NOUN
esrj-41988	225	11	prediction	prediction	NOUN
esrj-41988	225	12	of	of	ADP
esrj-41988	225	13	stabilized	stabilize	VERB
esrj-41988	225	14	soil	soil	NOUN
esrj-41988	225	15	.	.	PUNCT
esrj-41988	226	1	geotech	geotech	NOUN
esrj-41988	226	2	spec	spec	PROPN
esrj-41988	226	3	pub	pub	NOUN
esrj-41988	226	4	asce	asce	NOUN
esrj-41988	226	5	,	,	PUNCT
esrj-41988	226	6	changsha	changsha	PROPN
esrj-41988	226	7	hunan	hunan	PROPN
esrj-41988	226	8	,	,	PUNCT
esrj-41988	226	9	china	china	PROPN
esrj-41988	226	10	,	,	PUNCT
esrj-41988	226	11	191	191	NUM
esrj-41988	226	12	,	,	PUNCT
esrj-41988	226	13	147–153	147–153	NUM
esrj-41988	226	14	.	.	PUNCT
esrj-41988	227	1	hornik	hornik	PROPN
esrj-41988	227	2	,	,	PUNCT
esrj-41988	227	3	k.	k.	PROPN
esrj-41988	227	4	,	,	PUNCT
esrj-41988	227	5	stinchcombe	stinchcombe	PROPN
esrj-41988	227	6	,	,	PUNCT
esrj-41988	227	7	m.	m.	NOUN
esrj-41988	227	8	and	and	CCONJ
esrj-41988	227	9	white	white	ADJ
esrj-41988	227	10	,	,	PUNCT
esrj-41988	227	11	h.	h.	PROPN
esrj-41988	227	12	(	(	PUNCT
esrj-41988	227	13	1989	1989	NUM
esrj-41988	227	14	)	)	PUNCT
esrj-41988	227	15	.	.	PUNCT
esrj-41988	228	1	multilayer	multilayer	NOUN
esrj-41988	228	2	feed	feed	NOUN
esrj-41988	228	3	forward	forward	ADV
esrj-41988	228	4	networks	network	NOUN
esrj-41988	228	5	are	be	AUX
esrj-41988	228	6	universal	universal	ADJ
esrj-41988	228	7	approximators	approximator	NOUN
esrj-41988	228	8	,	,	PUNCT
esrj-41988	228	9	neural	neural	ADJ
esrj-41988	228	10	network	network	NOUN
esrj-41988	228	11	journal	journal	NOUN
esrj-41988	228	12	.	.	PUNCT
esrj-41988	229	1	2	2	NUM
esrj-41988	229	2	,	,	PUNCT
esrj-41988	229	3	359	359	NUM
esrj-41988	229	4	-	-	SYM
esrj-41988	229	5	366	366	NUM
esrj-41988	229	6	.	.	PUNCT
esrj-41988	230	1	hyun	hyun	PROPN
esrj-41988	230	2	ii	ii	PROPN
esrj-41988	230	3	,	,	PUNCT
esrj-41988	230	4	p.	p.	NOUN
esrj-41988	230	5	,	,	PUNCT
esrj-41988	230	6	borinara	borinara	NOUN
esrj-41988	230	7	,	,	PUNCT
esrj-41988	230	8	p.	p.	NOUN
esrj-41988	230	9	and	and	CCONJ
esrj-41988	230	10	hong	hong	PROPN
esrj-41988	230	11	,	,	PUNCT
esrj-41988	230	12	k.d	k.d	PROPN
esrj-41988	230	13	.	.	PROPN
esrj-41988	230	14	(	(	PUNCT
esrj-41988	230	15	2011	2011	NUM
esrj-41988	230	16	)	)	PUNCT
esrj-41988	230	17	.	.	PUNCT
esrj-41988	231	1	geotechnical	geotechnical	ADJ
esrj-41988	231	2	considerations	consideration	NOUN
esrj-41988	231	3	for	for	ADP
esrj-41988	231	4	end	end	NOUN
esrj-41988	231	5	-	-	PUNCT
esrj-41988	231	6	use	use	NOUN
esrj-41988	231	7	of	of	ADP
esrj-41988	231	8	old	old	ADJ
esrj-41988	231	9	municipal	municipal	ADJ
esrj-41988	231	10	solid	solid	ADJ
esrj-41988	231	11	waste	waste	NOUN
esrj-41988	231	12	landfills	landfill	NOUN
esrj-41988	231	13	,	,	PUNCT
esrj-41988	231	14	international	international	ADJ
esrj-41988	231	15	journal	journal	NOUN
esrj-41988	231	16	environmental	environmental	ADJ
esrj-41988	231	17	research	research	NOUN
esrj-41988	231	18	.	.	PUNCT
esrj-41988	232	1	5	5	NUM
esrj-41988	232	2	,	,	PUNCT
esrj-41988	232	3	573	573	NUM
esrj-41988	232	4	-	-	SYM
esrj-41988	232	5	584	584	NUM
esrj-41988	232	6	.	.	PUNCT
esrj-41988	232	7	jaksa	jaksa	PROPN
esrj-41988	232	8	,	,	PUNCT
esrj-41988	232	9	m.b	m.b	PROPN
esrj-41988	232	10	.	.	PROPN
esrj-41988	232	11	,	,	PUNCT
esrj-41988	232	12	maier	maier	PROPN
esrj-41988	232	13	,	,	PUNCT
esrj-41988	232	14	h.r	h.r	PROPN
esrj-41988	232	15	.	.	PROPN
esrj-41988	232	16	and	and	CCONJ
esrj-41988	232	17	shahin	shahin	PROPN
esrj-41988	232	18	,	,	PUNCT
esrj-41988	232	19	m.a	m.a	PROPN
esrj-41988	232	20	.	.	PROPN
esrj-41988	232	21	(	(	PUNCT
esrj-41988	232	22	2008	2008	NUM
esrj-41988	232	23	)	)	PUNCT
esrj-41988	232	24	.	.	PUNCT
esrj-41988	233	1	future	future	ADJ
esrj-41988	233	2	challenges	challenge	NOUN
esrj-41988	233	3	for	for	ADP
esrj-41988	233	4	artificial	artificial	ADJ
esrj-41988	233	5	neural	neural	ADJ
esrj-41988	233	6	network	network	NOUN
esrj-41988	233	7	modeling	modeling	NOUN
esrj-41988	233	8	in	in	ADP
esrj-41988	233	9	geotechnical	geotechnical	ADJ
esrj-41988	233	10	engineering	engineering	NOUN
esrj-41988	233	11	,	,	PUNCT
esrj-41988	233	12	the	the	DET
esrj-41988	233	13	12th	12th	ADJ
esrj-41988	233	14	international	international	ADJ
esrj-41988	233	15	conference	conference	NOUN
esrj-41988	233	16	of	of	ADP
esrj-41988	233	17	international	international	ADJ
esrj-41988	233	18	association	association	NOUN
esrj-41988	233	19	for	for	ADP
esrj-41988	233	20	computer	computer	NOUN
esrj-41988	233	21	methods	method	NOUN
esrj-41988	233	22	and	and	CCONJ
esrj-41988	233	23	advances	advance	NOUN
esrj-41988	233	24	in	in	ADP
esrj-41988	233	25	geomechanics	geomechanic	NOUN
esrj-41988	233	26	(	(	PUNCT
esrj-41988	233	27	iacmag	iacmag	NOUN
esrj-41988	233	28	)	)	PUNCT
esrj-41988	233	29	,	,	PUNCT
esrj-41988	233	30	geo	geo	PROPN
esrj-41988	233	31	,	,	PUNCT
esrj-41988	233	32	india	india	PROPN
esrj-41988	233	33	,	,	PUNCT
esrj-41988	233	34	1710–1719	1710–1719	NUM
esrj-41988	233	35	.	.	PUNCT
esrj-41988	234	1	jang	jang	PROPN
esrj-41988	234	2	,	,	PUNCT
esrj-41988	234	3	j.s.r	j.s.r	PROPN
esrj-41988	234	4	.	.	PUNCT
esrj-41988	234	5	,	,	PUNCT
esrj-41988	234	6	sun	sun	PROPN
esrj-41988	234	7	,	,	PUNCT
esrj-41988	234	8	c.t	c.t	PROPN
esrj-41988	234	9	.	.	PROPN
esrj-41988	234	10	and	and	CCONJ
esrj-41988	234	11	mizutani	mizutani	PROPN
esrj-41988	234	12	,	,	PUNCT
esrj-41988	234	13	e.	e.	PROPN
esrj-41988	234	14	(	(	PUNCT
esrj-41988	234	15	1997	1997	NUM
esrj-41988	234	16	)	)	PUNCT
esrj-41988	234	17	.	.	PUNCT
esrj-41988	235	1	neuro	neuro	NOUN
esrj-41988	235	2	-	-	PUNCT
esrj-41988	235	3	fuzzy	fuzzy	ADJ
esrj-41988	235	4	and	and	CCONJ
esrj-41988	235	5	soft	soft	ADJ
esrj-41988	235	6	computing	computing	NOUN
esrj-41988	235	7	,	,	PUNCT
esrj-41988	235	8	prentice	prentice	NOUN
esrj-41988	235	9	-	-	PUNCT
esrj-41988	235	10	hall	hall	NOUN
esrj-41988	235	11	,	,	PUNCT
esrj-41988	235	12	new	new	PROPN
esrj-41988	235	13	jersey	jersey	PROPN
esrj-41988	235	14	.	.	PUNCT
esrj-41988	236	1	jang	jang	PROPN
esrj-41988	236	2	,	,	PUNCT
esrj-41988	236	3	j.	j.	PROPN
esrj-41988	236	4	s.	s.	PROPN
esrj-41988	236	5	r.	r.	PROPN
esrj-41988	236	6	and	and	CCONJ
esrj-41988	236	7	sun	sun	PROPN
esrj-41988	236	8	,	,	PUNCT
esrj-41988	236	9	c.	c.	PROPN
esrj-41988	236	10	t.	t.	PROPN
esrj-41988	236	11	(	(	PUNCT
esrj-41988	236	12	1995	1995	NUM
esrj-41988	236	13	)	)	PUNCT
esrj-41988	236	14	.	.	PUNCT
esrj-41988	237	1	neuro	neuro	NOUN
esrj-41988	237	2	-	-	PUNCT
esrj-41988	237	3	fuzzy	fuzzy	ADJ
esrj-41988	237	4	modeling	modeling	NOUN
esrj-41988	237	5	and	and	CCONJ
esrj-41988	237	6	control	control	NOUN
esrj-41988	237	7	,	,	PUNCT
esrj-41988	237	8	proceedings	proceeding	NOUN
esrj-41988	237	9	of	of	ADP
esrj-41988	237	10	the	the	DET
esrj-41988	237	11	ieee	ieee	NOUN
esrj-41988	237	12	,	,	PUNCT
esrj-41988	237	13	378–406	378–406	NUM
esrj-41988	237	14	.	.	PUNCT
esrj-41988	238	1	kalkan	kalkan	PROPN
esrj-41988	238	2	,	,	PUNCT
esrj-41988	238	3	e.	e.	PROPN
esrj-41988	238	4	,	,	PUNCT
esrj-41988	238	5	akbulut	akbulut	PROPN
esrj-41988	238	6	,	,	PUNCT
esrj-41988	238	7	s.	s.	PROPN
esrj-41988	238	8	,tortum	,tortum	PROPN
esrj-41988	238	9	,	,	PUNCT
esrj-41988	238	10	a.	a.	NOUN
esrj-41988	238	11	and	and	CCONJ
esrj-41988	238	12	celik	celik	PROPN
esrj-41988	238	13	,	,	PUNCT
esrj-41988	238	14	s.	s.	PROPN
esrj-41988	238	15	(	(	PUNCT
esrj-41988	238	16	2009	2009	NUM
esrj-41988	238	17	)	)	PUNCT
esrj-41988	238	18	.	.	PUNCT
esrj-41988	239	1	prediction	prediction	NOUN
esrj-41988	239	2	of	of	ADP
esrj-41988	239	3	the	the	DET
esrj-41988	239	4	unconfined	unconfined	ADJ
esrj-41988	239	5	compressive	compressive	ADJ
esrj-41988	239	6	strength	strength	NOUN
esrj-41988	239	7	of	of	ADP
esrj-41988	239	8	compacted	compact	VERB
esrj-41988	239	9	granular	granular	ADJ
esrj-41988	239	10	soils	soil	NOUN
esrj-41988	239	11	by	by	ADP
esrj-41988	239	12	using	use	VERB
esrj-41988	239	13	inference	inference	NOUN
esrj-41988	239	14	systems	system	NOUN
esrj-41988	239	15	,	,	PUNCT
esrj-41988	239	16	environmental	environmental	ADJ
esrj-41988	239	17	geology	geology	NOUN
esrj-41988	239	18	.	.	PUNCT
esrj-41988	240	1	58	58	NUM
esrj-41988	240	2	,	,	PUNCT
esrj-41988	240	3	1429–1440	1429–1440	NUM
esrj-41988	240	4	.	.	PUNCT
esrj-41988	241	1	karimpour	karimpour	NOUN
esrj-41988	241	2	-	-	PUNCT
esrj-41988	241	3	fard	fard	NOUN
esrj-41988	241	4	,	,	PUNCT
esrj-41988	241	5	m.	m.	NOUN
esrj-41988	241	6	and	and	CCONJ
esrj-41988	241	7	machado	machado	PROPN
esrj-41988	241	8	,	,	PUNCT
esrj-41988	241	9	s.l	s.l	PROPN
esrj-41988	241	10	.	.	PROPN
esrj-41988	241	11	(	(	PUNCT
esrj-41988	241	12	2012	2012	NUM
esrj-41988	241	13	)	)	PUNCT
esrj-41988	241	14	.	.	PUNCT
esrj-41988	242	1	deformation	deformation	NOUN
esrj-41988	242	2	characteristics	characteristic	NOUN
esrj-41988	242	3	of	of	ADP
esrj-41988	242	4	msw	msw	NOUN
esrj-41988	242	5	materials	material	NOUN
esrj-41988	242	6	,	,	PUNCT
esrj-41988	242	7	electronic	electronic	ADJ
esrj-41988	242	8	journal	journal	NOUN
esrj-41988	242	9	geotechnical	geotechnical	ADJ
esrj-41988	242	10	engineering	engineering	NOUN
esrj-41988	242	11	.	.	PUNCT
esrj-41988	243	1	17(a	17(a	NUM
esrj-41988	243	2	)	)	PUNCT
esrj-41988	243	3	,	,	PUNCT
esrj-41988	243	4	2009	2009	NUM
esrj-41988	243	5	-	-	SYM
esrj-41988	243	6	2024	2024	NUM
esrj-41988	243	7	.	.	PUNCT
esrj-41988	244	1	khanlari	khanlari	PROPN
esrj-41988	244	2	,	,	PUNCT
esrj-41988	244	3	g.r	g.r	PROPN
esrj-41988	244	4	.	.	PROPN
esrj-41988	244	5	,	,	PUNCT
esrj-41988	244	6	heidari	heidari	ADJ
esrj-41988	244	7	,	,	PUNCT
esrj-41988	244	8	m.	m.	NOUN
esrj-41988	244	9	,	,	PUNCT
esrj-41988	244	10	momeni	momeni	PROPN
esrj-41988	244	11	,	,	PUNCT
esrj-41988	244	12	a.a	a.a	PROPN
esrj-41988	244	13	.	.	PROPN
esrj-41988	244	14	and	and	CCONJ
esrj-41988	244	15	abdilor	abdilor	PROPN
esrj-41988	244	16	,	,	PUNCT
esrj-41988	244	17	y.	y.	PROPN
esrj-41988	244	18	(	(	PUNCT
esrj-41988	244	19	2012	2012	NUM
esrj-41988	244	20	)	)	PUNCT
esrj-41988	244	21	.	.	PUNCT
esrj-41988	245	1	prediction	prediction	NOUN
esrj-41988	245	2	of	of	ADP
esrj-41988	245	3	shear	shear	NOUN
esrj-41988	245	4	strength	strength	NOUN
esrj-41988	245	5	parameters	parameter	NOUN
esrj-41988	245	6	of	of	ADP
esrj-41988	245	7	soils	soil	NOUN
esrj-41988	245	8	using	use	VERB
esrj-41988	245	9	artificial	artificial	ADJ
esrj-41988	245	10	neural	neural	ADJ
esrj-41988	245	11	networks	network	NOUN
esrj-41988	245	12	and	and	CCONJ
esrj-41988	245	13	multivariate	multivariate	NOUN
esrj-41988	245	14	regression	regression	NOUN
esrj-41988	245	15	methods	method	NOUN
esrj-41988	245	16	,	,	PUNCT
esrj-41988	245	17	engineering	engineering	NOUN
esrj-41988	245	18	geology	geology	NOUN
esrj-41988	245	19	,	,	PUNCT
esrj-41988	245	20	131	131	NUM
esrj-41988	245	21	-	-	SYM
esrj-41988	245	22	132	132	NUM
esrj-41988	245	23	,	,	PUNCT
esrj-41988	245	24	11	11	NUM
esrj-41988	245	25	-	-	SYM
esrj-41988	245	26	18	18	NUM
esrj-41988	245	27	.	.	PUNCT
esrj-41988	246	1	kucuk	kucuk	NOUN
esrj-41988	246	2	,	,	PUNCT
esrj-41988	246	3	n.	n.	NOUN
esrj-41988	246	4	(	(	PUNCT
esrj-41988	246	5	2008	2008	NUM
esrj-41988	246	6	)	)	PUNCT
esrj-41988	246	7	.	.	PUNCT
esrj-41988	247	1	modeling	modeling	NOUN
esrj-41988	247	2	of	of	ADP
esrj-41988	247	3	gamma	gamma	NOUN
esrj-41988	247	4	-	-	PUNCT
esrj-41988	247	5	ray	ray	NOUN
esrj-41988	247	6	energy	energy	NOUN
esrj-41988	247	7	absorption	absorption	NOUN
esrj-41988	247	8	buildup	buildup	NOUN
esrj-41988	247	9	factors	factor	NOUN
esrj-41988	247	10	using	use	VERB
esrj-41988	247	11	neural	neural	ADJ
esrj-41988	247	12	network	network	NOUN
esrj-41988	247	13	,	,	PUNCT
esrj-41988	247	14	ann	ann	PROPN
esrj-41988	247	15	.	.	PROPN
esrj-41988	247	16	nucl	nucl	PROPN
esrj-41988	247	17	.	.	PUNCT
esrj-41988	248	1	energy	energy	NOUN
esrj-41988	248	2	.	.	PUNCT
esrj-41988	249	1	35	35	NUM
esrj-41988	249	2	,	,	PUNCT
esrj-41988	249	3	1787–1790	1787–1790	NUM
esrj-41988	249	4	.	.	PUNCT
esrj-41988	250	1	landva	landva	PROPN
esrj-41988	250	2	,	,	PUNCT
esrj-41988	250	3	a.o	a.o	PROPN
esrj-41988	250	4	.	.	PROPN
esrj-41988	250	5	,	,	PUNCT
esrj-41988	250	6	valsangkar	valsangkar	PROPN
esrj-41988	250	7	,	,	PUNCT
esrj-41988	250	8	a.j	a.j	PROPN
esrj-41988	250	9	.	.	PROPN
esrj-41988	250	10	and	and	CCONJ
esrj-41988	250	11	pelkey	pelkey	PROPN
esrj-41988	250	12	,	,	PUNCT
esrj-41988	250	13	s.g	s.g	PROPN
esrj-41988	250	14	.	.	PROPN
esrj-41988	250	15	(	(	PUNCT
esrj-41988	250	16	2000	2000	NUM
esrj-41988	250	17	)	)	PUNCT
esrj-41988	250	18	.	.	PUNCT
esrj-41988	251	1	lateral	lateral	ADJ
esrj-41988	251	2	earth	earth	NOUN
esrj-41988	251	3	pressure	pressure	NOUN
esrj-41988	251	4	at	at	ADP
esrj-41988	251	5	rest	rest	NOUN
esrj-41988	251	6	and	and	CCONJ
esrj-41988	251	7	compressibility	compressibility	NOUN
esrj-41988	251	8	of	of	ADP
esrj-41988	251	9	municipal	municipal	ADJ
esrj-41988	251	10	solid	solid	ADJ
esrj-41988	251	11	waste	waste	NOUN
esrj-41988	251	12	,	,	PUNCT
esrj-41988	251	13	canadian	canadian	ADJ
esrj-41988	251	14	geotechnical	geotechnical	ADJ
esrj-41988	251	15	journal	journal	NOUN
esrj-41988	251	16	.	.	PUNCT
esrj-41988	252	1	37	37	NUM
esrj-41988	252	2	,	,	PUNCT
esrj-41988	252	3	1157	1157	NUM
esrj-41988	252	4	-	-	SYM
esrj-41988	252	5	1165	1165	NUM
esrj-41988	252	6	.	.	PUNCT
esrj-41988	253	1	noori	noori	PROPN
esrj-41988	253	2	,	,	PUNCT
esrj-41988	253	3	r.	r.	PROPN
esrj-41988	253	4	,	,	PUNCT
esrj-41988	253	5	abdoli	abdoli	NOUN
esrj-41988	253	6	,	,	PUNCT
esrj-41988	253	7	m.a	m.a	PROPN
esrj-41988	253	8	.	.	PROPN
esrj-41988	253	9	,	,	PUNCT
esrj-41988	253	10	farokhnia	farokhnia	PROPN
esrj-41988	253	11	,	,	PUNCT
esrj-41988	253	12	a.	a.	PROPN
esrj-41988	253	13	and	and	CCONJ
esrj-41988	253	14	abbasi	abbasi	PROPN
esrj-41988	253	15	,	,	PUNCT
esrj-41988	253	16	m.	m.	NOUN
esrj-41988	253	17	(	(	PUNCT
esrj-41988	253	18	2009	2009	NUM
esrj-41988	253	19	)	)	PUNCT
esrj-41988	253	20	.	.	PUNCT
esrj-41988	253	21	results	result	VERB
esrj-41988	253	22	uncertainty	uncertainty	NOUN
esrj-41988	253	23	of	of	ADP
esrj-41988	253	24	solid	solid	ADJ
esrj-41988	253	25	waste	waste	NOUN
esrj-41988	253	26	generation	generation	NOUN
esrj-41988	253	27	forecasting	forecasting	NOUN
esrj-41988	253	28	by	by	ADP
esrj-41988	253	29	hybrid	hybrid	NOUN
esrj-41988	253	30	of	of	ADP
esrj-41988	253	31	wavelet	wavelet	NOUN
esrj-41988	253	32	transform	transform	PROPN
esrj-41988	253	33	-	-	PUNCT
esrj-41988	253	34	anfis	anfi	VERB
esrj-41988	253	35	and	and	CCONJ
esrj-41988	253	36	wavelet	wavelet	NOUN
esrj-41988	253	37	transform	transform	NOUN
esrj-41988	253	38	-	-	PUNCT
esrj-41988	253	39	neural	neural	ADJ
esrj-41988	253	40	network	network	NOUN
esrj-41988	253	41	,	,	PUNCT
esrj-41988	253	42	expert	expert	NOUN
esrj-41988	253	43	systems	system	NOUN
esrj-41988	253	44	with	with	ADP
esrj-41988	253	45	applications	application	NOUN
esrj-41988	253	46	.	.	PUNCT
esrj-41988	254	1	36	36	NUM
esrj-41988	254	2	,	,	PUNCT
esrj-41988	254	3	9991–9999	9991–9999	NUM
esrj-41988	254	4	.	.	PUNCT
esrj-41988	255	1	olivier	olivier	PROPN
esrj-41988	255	2	,	,	PUNCT
esrj-41988	255	3	f.	f.	PROPN
esrj-41988	255	4	,	,	PUNCT
esrj-41988	255	5	gourc	gourc	PROPN
esrj-41988	255	6	,	,	PUNCT
esrj-41988	255	7	j.p	j.p	PROPN
esrj-41988	255	8	.	.	PROPN
esrj-41988	255	9	,	,	PUNCT
esrj-41988	255	10	lopez	lopez	PROPN
esrj-41988	255	11	,	,	PUNCT
esrj-41988	255	12	s.	s.	PROPN
esrj-41988	255	13	,	,	PUNCT
esrj-41988	255	14	benhamida	benhamida	PROPN
esrj-41988	255	15	,	,	PUNCT
esrj-41988	255	16	s.	s.	PROPN
esrj-41988	255	17	and	and	CCONJ
esrj-41988	255	18	van	van	PROPN
esrj-41988	255	19	-	-	PUNCT
esrj-41988	255	20	wyck	wyck	PROPN
esrj-41988	255	21	,	,	PUNCT
esrj-41988	255	22	d.	d.	PROPN
esrj-41988	255	23	(	(	PUNCT
esrj-41988	255	24	2003	2003	NUM
esrj-41988	255	25	)	)	PUNCT
esrj-41988	255	26	.	.	PUNCT
esrj-41988	256	1	mechanical	mechanical	ADJ
esrj-41988	256	2	behavior	behavior	NOUN
esrj-41988	256	3	of	of	ADP
esrj-41988	256	4	solid	solid	ADJ
esrj-41988	256	5	waste	waste	NOUN
esrj-41988	256	6	in	in	ADP
esrj-41988	256	7	a	a	DET
esrj-41988	256	8	fully	fully	ADV
esrj-41988	256	9	instrumented	instrument	VERB
esrj-41988	256	10	prototype	prototype	NOUN
esrj-41988	256	11	compression	compression	NOUN
esrj-41988	256	12	box	box	NOUN
esrj-41988	256	13	,	,	PUNCT
esrj-41988	256	14	proceedings	proceeding	NOUN
esrj-41988	256	15	of	of	ADP
esrj-41988	256	16	the	the	DET
esrj-41988	256	17	9th	9th	ADJ
esrj-41988	256	18	international	international	ADJ
esrj-41988	256	19	waste	waste	NOUN
esrj-41988	256	20	management	management	NOUN
esrj-41988	256	21	and	and	CCONJ
esrj-41988	256	22	landfill	landfill	NOUN
esrj-41988	256	23	symposium	symposium	NOUN
esrj-41988	256	24	,	,	PUNCT
esrj-41988	256	25	cagliari	cagliari	PROPN
esrj-41988	256	26	,	,	PUNCT
esrj-41988	256	27	italy	italy	PROPN
esrj-41988	256	28	,	,	PUNCT
esrj-41988	256	29	1	1	PROPN
esrj-41988	256	30	-	-	SYM
esrj-41988	256	31	12	12	NUM
esrj-41988	256	32	.	.	PUNCT
esrj-41988	257	1	olivier	olivier	PROPN
esrj-41988	257	2	,	,	PUNCT
esrj-41988	257	3	f.	f.	PROPN
esrj-41988	257	4	and	and	CCONJ
esrj-41988	257	5	gourc	gourc	PROPN
esrj-41988	257	6	,	,	PUNCT
esrj-41988	257	7	j.p	j.p	PROPN
esrj-41988	257	8	.	.	PROPN
esrj-41988	257	9	(	(	PUNCT
esrj-41988	257	10	2007	2007	NUM
esrj-41988	257	11	)	)	PUNCT
esrj-41988	257	12	.	.	PUNCT
esrj-41988	258	1	hydro	hydro	NOUN
esrj-41988	258	2	-	-	PUNCT
esrj-41988	258	3	mechanical	mechanical	ADJ
esrj-41988	258	4	behavior	behavior	NOUN
esrj-41988	258	5	of	of	ADP
esrj-41988	258	6	municipal	municipal	ADJ
esrj-41988	258	7	solid	solid	ADJ
esrj-41988	258	8	waste	waste	NOUN
esrj-41988	258	9	subject	subject	NOUN
esrj-41988	258	10	to	to	ADP
esrj-41988	258	11	leachate	leachate	NOUN
esrj-41988	258	12	recirculation	recirculation	NOUN
esrj-41988	258	13	in	in	ADP
esrj-41988	258	14	a	a	DET
esrj-41988	258	15	large	large	ADJ
esrj-41988	258	16	-	-	PUNCT
esrj-41988	258	17	scale	scale	NOUN
esrj-41988	258	18	compression	compression	NOUN
esrj-41988	258	19	reactor	reactor	NOUN
esrj-41988	258	20	cell	cell	NOUN
esrj-41988	258	21	,	,	PUNCT
esrj-41988	258	22	waste	waste	NOUN
esrj-41988	258	23	management	management	NOUN
esrj-41988	258	24	journal	journal	NOUN
esrj-41988	258	25	.	.	PUNCT
esrj-41988	259	1	27	27	NUM
esrj-41988	259	2	,	,	PUNCT
esrj-41988	259	3	44	44	NUM
esrj-41988	259	4	-	-	SYM
esrj-41988	259	5	58	58	NUM
esrj-41988	259	6	.	.	PUNCT
esrj-41988	260	1	ozer	ozer	NOUN
esrj-41988	260	2	,	,	PUNCT
esrj-41988	260	3	m.	m.	NOUN
esrj-41988	260	4	,	,	PUNCT
esrj-41988	260	5	isik	isik	NOUN
esrj-41988	260	6	,	,	PUNCT
esrj-41988	260	7	n.s	n.s	PROPN
esrj-41988	260	8	.	.	PROPN
esrj-41988	260	9	and	and	CCONJ
esrj-41988	260	10	orhan	orhan	PROPN
esrj-41988	260	11	,	,	PUNCT
esrj-41988	260	12	m.	m.	NOUN
esrj-41988	260	13	(	(	PUNCT
esrj-41988	260	14	2008	2008	NUM
esrj-41988	260	15	)	)	PUNCT
esrj-41988	260	16	.	.	PUNCT
esrj-41988	261	1	statistical	statistical	ADJ
esrj-41988	261	2	and	and	CCONJ
esrj-41988	261	3	neural	neural	ADJ
esrj-41988	261	4	network	network	NOUN
esrj-41988	261	5	assessment	assessment	NOUN
esrj-41988	261	6	of	of	ADP
esrj-41988	261	7	the	the	DET
esrj-41988	261	8	compression	compression	NOUN
esrj-41988	261	9	index	index	NOUN
esrj-41988	261	10	of	of	ADP
esrj-41988	261	11	clay	clay	NOUN
esrj-41988	261	12	-	-	PUNCT
esrj-41988	261	13	bearing	bear	VERB
esrj-41988	261	14	soils	soil	NOUN
esrj-41988	261	15	,	,	PUNCT
esrj-41988	261	16	bull	bull	PROPN
esrj-41988	261	17	eng	eng	PROPN
esrj-41988	261	18	geol	geol	PROPN
esrj-41988	261	19	environ	environ	PROPN
esrj-41988	261	20	.	.	PROPN
esrj-41988	261	21	67	67	NUM
esrj-41988	261	22	,	,	PUNCT
esrj-41988	261	23	537–545	537–545	NUM
esrj-41988	261	24	.	.	PUNCT
esrj-41988	262	1	padmini	padmini	PROPN
esrj-41988	262	2	,	,	PUNCT
esrj-41988	262	3	d.	d.	PROPN
esrj-41988	262	4	,	,	PUNCT
esrj-41988	262	5	ilamparuthi	ilamparuthi	PROPN
esrj-41988	262	6	,	,	PUNCT
esrj-41988	262	7	k.	k.	PROPN
esrj-41988	262	8	and	and	CCONJ
esrj-41988	262	9	sudheer	sudheer	PROPN
esrj-41988	262	10	,	,	PUNCT
esrj-41988	262	11	k.p	k.p	PROPN
esrj-41988	262	12	.	.	PROPN
esrj-41988	262	13	(	(	PUNCT
esrj-41988	262	14	2008	2008	NUM
esrj-41988	262	15	)	)	PUNCT
esrj-41988	262	16	.	.	PUNCT
esrj-41988	263	1	ultimate	ultimate	ADJ
esrj-41988	263	2	bearing	bearing	NOUN
esrj-41988	263	3	capacity	capacity	NOUN
esrj-41988	263	4	prediction	prediction	NOUN
esrj-41988	263	5	of	of	ADP
esrj-41988	263	6	shallow	shallow	ADJ
esrj-41988	263	7	foundations	foundation	NOUN
esrj-41988	263	8	on	on	ADP
esrj-41988	263	9	cohesionless	cohesionless	NOUN
esrj-41988	263	10	soils	soil	NOUN
esrj-41988	263	11	using	use	VERB
esrj-41988	263	12	neurofuzzy	neurofuzzy	ADJ
esrj-41988	263	13	models	model	NOUN
esrj-41988	263	14	,	,	PUNCT
esrj-41988	263	15	computers	computer	NOUN
esrj-41988	263	16	and	and	CCONJ
esrj-41988	263	17	geotechnics	geotechnic	NOUN
esrj-41988	263	18	.	.	PROPN
esrj-41988	263	19	35	35	NUM
esrj-41988	263	20	,	,	PUNCT
esrj-41988	263	21	33	33	NUM
esrj-41988	263	22	-	-	SYM
esrj-41988	263	23	46	46	NUM
esrj-41988	263	24	.	.	PUNCT
esrj-41988	264	1	park	park	PROPN
esrj-41988	264	2	,	,	PUNCT
esrj-41988	264	3	h.l	h.l	PROPN
esrj-41988	264	4	.	.	PROPN
esrj-41988	264	5	and	and	CCONJ
esrj-41988	264	6	lee	lee	PROPN
esrj-41988	264	7	,	,	PUNCT
esrj-41988	264	8	s.r	s.r	PROPN
esrj-41988	264	9	.	.	PROPN
esrj-41988	264	10	(	(	PUNCT
esrj-41988	264	11	2011	2011	NUM
esrj-41988	264	12	)	)	PUNCT
esrj-41988	264	13	.	.	PUNCT
esrj-41988	265	1	evaluation	evaluation	NOUN
esrj-41988	265	2	of	of	ADP
esrj-41988	265	3	the	the	DET
esrj-41988	265	4	compression	compression	NOUN
esrj-41988	265	5	index	index	NOUN
esrj-41988	265	6	of	of	ADP
esrj-41988	265	7	soils	soil	NOUN
esrj-41988	265	8	using	use	VERB
esrj-41988	265	9	an	an	DET
esrj-41988	265	10	artificial	artificial	ADJ
esrj-41988	265	11	neural	neural	ADJ
esrj-41988	265	12	network	network	NOUN
esrj-41988	265	13	,	,	PUNCT
esrj-41988	265	14	computers	computer	NOUN
esrj-41988	265	15	and	and	CCONJ
esrj-41988	265	16	geotechnics	geotechnic	NOUN
esrj-41988	265	17	.	.	PUNCT
esrj-41988	266	1	38	38	NUM
esrj-41988	266	2	,	,	PUNCT
esrj-41988	266	3	472–481	472–481	NUM
esrj-41988	266	4	.	.	PUNCT
esrj-41988	267	1	reddy	reddy	PROPN
esrj-41988	267	2	,	,	PUNCT
esrj-41988	267	3	k.r	k.r	PROPN
esrj-41988	267	4	.	.	PROPN
esrj-41988	267	5	,	,	PUNCT
esrj-41988	267	6	hettiarachchi	hettiarachchi	PROPN
esrj-41988	267	7	,	,	PUNCT
esrj-41988	267	8	h.	h.	PROPN
esrj-41988	267	9	,	,	PUNCT
esrj-41988	267	10	parakalla	parakalla	PROPN
esrj-41988	267	11	,	,	PUNCT
esrj-41988	267	12	n.s	n.s	PROPN
esrj-41988	267	13	.	.	PROPN
esrj-41988	267	14	,	,	PUNCT
esrj-41988	267	15	gangathulasi	gangathulasi	NOUN
esrj-41988	267	16	.	.	PUNCT
esrj-41988	268	1	and	and	CCONJ
esrj-41988	268	2	j.	j.	PROPN
esrj-41988	268	3	,	,	PUNCT
esrj-41988	268	4	bogner	bogner	PROPN
esrj-41988	268	5	,	,	PUNCT
esrj-41988	268	6	j.	j.	PROPN
esrj-41988	268	7	e.	e.	PROPN
esrj-41988	268	8	(	(	PUNCT
esrj-41988	268	9	2009a	2009a	NUM
esrj-41988	268	10	)	)	PUNCT
esrj-41988	268	11	.	.	PUNCT
esrj-41988	269	1	geotechnical	geotechnical	ADJ
esrj-41988	269	2	properties	property	NOUN
esrj-41988	269	3	of	of	ADP
esrj-41988	269	4	fresh	fresh	ADJ
esrj-41988	269	5	municipal	municipal	ADJ
esrj-41988	269	6	solid	solid	ADJ
esrj-41988	269	7	waste	waste	NOUN
esrj-41988	269	8	at	at	ADP
esrj-41988	269	9	orchard	orchard	NOUN
esrj-41988	269	10	hills	hill	NOUN
esrj-41988	269	11	landfill	landfill	NOUN
esrj-41988	269	12	,	,	PUNCT
esrj-41988	269	13	usa	usa	PROPN
esrj-41988	269	14	,	,	PUNCT
esrj-41988	269	15	waste	waste	NOUN
esrj-41988	269	16	management	management	NOUN
esrj-41988	269	17	.	.	PUNCT
esrj-41988	270	1	29	29	NUM
esrj-41988	270	2	,	,	PUNCT
esrj-41988	270	3	952	952	NUM
esrj-41988	270	4	-	-	SYM
esrj-41988	270	5	959	959	NUM
esrj-41988	270	6	.	.	PUNCT
esrj-41988	271	1	reddy	reddy	PROPN
esrj-41988	271	2	,	,	PUNCT
esrj-41988	271	3	k.r	k.r	PROPN
esrj-41988	271	4	.	.	PROPN
esrj-41988	271	5	,	,	PUNCT
esrj-41988	271	6	gangathulasi	gangathulasi	PROPN
esrj-41988	271	7	,	,	PUNCT
esrj-41988	271	8	j.	j.	PROPN
esrj-41988	271	9	,	,	PUNCT
esrj-41988	271	10	parakalla	parakalla	PROPN
esrj-41988	271	11	,	,	PUNCT
esrj-41988	271	12	n.s	n.s	PROPN
esrj-41988	271	13	.	.	PROPN
esrj-41988	271	14	,	,	PUNCT
esrj-41988	271	15	hettiarachchi	hettiarachchi	PROPN
esrj-41988	271	16	,	,	PUNCT
esrj-41988	271	17	h.	h.	PROPN
esrj-41988	271	18	,	,	PUNCT
esrj-41988	271	19	bogner	bogner	PROPN
esrj-41988	271	20	,	,	PUNCT
esrj-41988	271	21	j.e	j.e	PROPN
esrj-41988	271	22	.	.	PROPN
esrj-41988	271	23	and	and	CCONJ
esrj-41988	271	24	lagier	lagier	NOUN
esrj-41988	271	25	,	,	PUNCT
esrj-41988	271	26	t.	t.	PROPN
esrj-41988	271	27	(	(	PUNCT
esrj-41988	271	28	2009b	2009b	NUM
esrj-41988	271	29	)	)	PUNCT
esrj-41988	271	30	.	.	PUNCT
esrj-41988	272	1	compressibility	compressibility	NOUN
esrj-41988	272	2	and	and	CCONJ
esrj-41988	272	3	shear	shear	NOUN
esrj-41988	272	4	strength	strength	NOUN
esrj-41988	272	5	of	of	ADP
esrj-41988	272	6	municipal	municipal	ADJ
esrj-41988	272	7	solid	solid	ADJ
esrj-41988	272	8	waste	waste	NOUN
esrj-41988	272	9	under	under	ADP
esrj-41988	272	10	short	short	ADJ
esrj-41988	272	11	-	-	PUNCT
esrj-41988	272	12	term	term	NOUN
esrj-41988	272	13	leachate	leachate	NOUN
esrj-41988	272	14	recirculation	recirculation	NOUN
esrj-41988	272	15	operations	operation	NOUN
esrj-41988	272	16	,	,	PUNCT
esrj-41988	272	17	waste	waste	NOUN
esrj-41988	272	18	management	management	NOUN
esrj-41988	272	19	and	and	CCONJ
esrj-41988	272	20	research	research	NOUN
esrj-41988	272	21	.	.	PUNCT
esrj-41988	273	1	27	27	NUM
esrj-41988	273	2	,	,	PUNCT
esrj-41988	273	3	578	578	NUM
esrj-41988	273	4	-	-	SYM
esrj-41988	273	5	587	587	NUM
esrj-41988	273	6	.	.	PUNCT
esrj-41988	274	1	171compression	171compression	NOUN
esrj-41988	274	2	ratio	ratio	NOUN
esrj-41988	274	3	of	of	ADP
esrj-41988	274	4	municipal	municipal	ADJ
esrj-41988	274	5	solid	solid	ADJ
esrj-41988	274	6	waste	waste	NOUN
esrj-41988	274	7	simulation	simulation	NOUN
esrj-41988	274	8	using	use	VERB
esrj-41988	274	9	artificial	artificial	ADJ
esrj-41988	274	10	neural	neural	ADJ
esrj-41988	274	11	network	network	NOUN
esrj-41988	274	12	and	and	CCONJ
esrj-41988	274	13	adaptive	adaptive	ADJ
esrj-41988	274	14	neurofuzzy	neurofuzzy	ADJ
esrj-41988	274	15	system	system	NOUN
esrj-41988	274	16	reddy	reddy	PROPN
esrj-41988	274	17	,	,	PUNCT
esrj-41988	274	18	k.r	k.r	PROPN
esrj-41988	274	19	.	.	PROPN
esrj-41988	274	20	,	,	PUNCT
esrj-41988	274	21	hettiarachchi	hettiarachchi	PROPN
esrj-41988	274	22	,	,	PUNCT
esrj-41988	274	23	h.	h.	PROPN
esrj-41988	274	24	,	,	PUNCT
esrj-41988	274	25	gangathulasi	gangathulasi	PROPN
esrj-41988	274	26	,	,	PUNCT
esrj-41988	274	27	j.	j.	PROPN
esrj-41988	274	28	,	,	PUNCT
esrj-41988	274	29	bogner	bogner	PROPN
esrj-41988	274	30	,	,	PUNCT
esrj-41988	274	31	j.	j.	PROPN
esrj-41988	274	32	and	and	CCONJ
esrj-41988	274	33	lagier	lagier	PROPN
esrj-41988	274	34	,	,	PUNCT
esrj-41988	274	35	t.	t.	PROPN
esrj-41988	274	36	(	(	PUNCT
esrj-41988	274	37	2009c	2009c	NUM
esrj-41988	274	38	)	)	PUNCT
esrj-41988	274	39	.	.	PUNCT
esrj-41988	275	1	geotechnical	geotechnical	ADJ
esrj-41988	275	2	properties	property	NOUN
esrj-41988	275	3	of	of	ADP
esrj-41988	275	4	synthetic	synthetic	ADJ
esrj-41988	275	5	municipal	municipal	ADJ
esrj-41988	275	6	solid	solid	ADJ
esrj-41988	275	7	waste	waste	NOUN
esrj-41988	275	8	,	,	PUNCT
esrj-41988	275	9	international	international	ADJ
esrj-41988	275	10	journal	journal	NOUN
esrj-41988	275	11	of	of	ADP
esrj-41988	275	12	geotechnical	geotechnical	ADJ
esrj-41988	275	13	engineering	engineering	NOUN
esrj-41988	275	14	.	.	PUNCT
esrj-41988	276	1	3	3	NUM
esrj-41988	276	2	,	,	PUNCT
esrj-41988	276	3	429	429	NUM
esrj-41988	276	4	-	-	SYM
esrj-41988	276	5	438	438	NUM
esrj-41988	276	6	.	.	PUNCT
esrj-41988	277	1	reddy	reddy	PROPN
esrj-41988	277	2	,	,	PUNCT
esrj-41988	277	3	k.r	k.r	PROPN
esrj-41988	277	4	.	.	PROPN
esrj-41988	277	5	,	,	PUNCT
esrj-41988	277	6	hettiarachchi	hettiarachchi	PROPN
esrj-41988	277	7	,	,	PUNCT
esrj-41988	277	8	h.	h.	PROPN
esrj-41988	277	9	,	,	PUNCT
esrj-41988	277	10	gangathulasi	gangathulasi	PROPN
esrj-41988	277	11	,	,	PUNCT
esrj-41988	277	12	j.	j.	PROPN
esrj-41988	277	13	and	and	CCONJ
esrj-41988	277	14	bogner	bogner	PROPN
esrj-41988	277	15	,	,	PUNCT
esrj-41988	277	16	j.	j.	PROPN
esrj-41988	277	17	e.	e.	PROPN
esrj-41988	277	18	(	(	PUNCT
esrj-41988	277	19	2011	2011	NUM
esrj-41988	277	20	)	)	PUNCT
esrj-41988	277	21	.	.	PUNCT
esrj-41988	278	1	geotechnical	geotechnical	ADJ
esrj-41988	278	2	properties	property	NOUN
esrj-41988	278	3	of	of	ADP
esrj-41988	278	4	municipal	municipal	ADJ
esrj-41988	278	5	solid	solid	ADJ
esrj-41988	278	6	waste	waste	NOUN
esrj-41988	278	7	at	at	ADP
esrj-41988	278	8	different	different	ADJ
esrj-41988	278	9	phases	phase	NOUN
esrj-41988	278	10	of	of	ADP
esrj-41988	278	11	biodegradation	biodegradation	NOUN
esrj-41988	278	12	,	,	PUNCT
esrj-41988	278	13	waste	waste	NOUN
esrj-41988	278	14	management.31	management.31	PROPN
esrj-41988	278	15	,	,	PUNCT
esrj-41988	278	16	2275	2275	NUM
esrj-41988	278	17	-	-	SYM
esrj-41988	278	18	2286	2286	NUM
esrj-41988	278	19	.	.	PUNCT
esrj-41988	279	1	sezer	sez	ADJ
esrj-41988	279	2	,	,	PUNCT
esrj-41988	279	3	a.	a.	NOUN
esrj-41988	279	4	(	(	PUNCT
esrj-41988	279	5	2013	2013	NUM
esrj-41988	279	6	)	)	PUNCT
esrj-41988	279	7	.	.	PUNCT
esrj-41988	280	1	simple	simple	ADJ
esrj-41988	280	2	models	model	NOUN
esrj-41988	280	3	for	for	ADP
esrj-41988	280	4	the	the	DET
esrj-41988	280	5	estimation	estimation	NOUN
esrj-41988	280	6	of	of	ADP
esrj-41988	280	7	shearing	shear	VERB
esrj-41988	280	8	resistance	resistance	NOUN
esrj-41988	280	9	angle	angle	NOUN
esrj-41988	280	10	of	of	ADP
esrj-41988	280	11	uniform	uniform	ADJ
esrj-41988	280	12	sands	sand	NOUN
esrj-41988	280	13	,	,	PUNCT
esrj-41988	280	14	neural	neural	ADJ
esrj-41988	280	15	computing	computing	NOUN
esrj-41988	280	16	and	and	CCONJ
esrj-41988	280	17	applications	application	NOUN
esrj-41988	280	18	.	.	PUNCT
esrj-41988	281	1	22,111	22,111	NUM
esrj-41988	281	2	-	-	SYM
esrj-41988	281	3	123	123	NUM
esrj-41988	281	4	.	.	PUNCT
esrj-41988	282	1	smith	smith	PROPN
esrj-41988	282	2	,	,	PUNCT
esrj-41988	282	3	g.n	g.n	PROPN
esrj-41988	282	4	.	.	PROPN
esrj-41988	282	5	(	(	PUNCT
esrj-41988	282	6	1986	1986	NUM
esrj-41988	282	7	)	)	PUNCT
esrj-41988	282	8	.	.	PUNCT
esrj-41988	283	1	probability	probability	NOUN
esrj-41988	283	2	and	and	CCONJ
esrj-41988	283	3	statistics	statistic	NOUN
esrj-41988	283	4	in	in	ADP
esrj-41988	283	5	civil	civil	ADJ
esrj-41988	283	6	engineering	engineering	NOUN
esrj-41988	283	7	:	:	PUNCT
esrj-41988	283	8	an	an	DET
esrj-41988	283	9	introduction	introduction	NOUN
esrj-41988	283	10	.	.	PUNCT
esrj-41988	284	1	collins	collins	PROPN
esrj-41988	284	2	,	,	PUNCT
esrj-41988	284	3	london	london	PROPN
esrj-41988	284	4	.	.	PUNCT
esrj-41988	285	1	sowers	sower	NOUN
esrj-41988	285	2	,	,	PUNCT
esrj-41988	285	3	g.	g.	PROPN
esrj-41988	285	4	(	(	PUNCT
esrj-41988	285	5	1973	1973	NUM
esrj-41988	285	6	)	)	PUNCT
esrj-41988	285	7	.	.	PUNCT
esrj-41988	286	1	settlement	settlement	NOUN
esrj-41988	286	2	of	of	ADP
esrj-41988	286	3	waste	waste	NOUN
esrj-41988	286	4	disposal	disposal	NOUN
esrj-41988	286	5	fills	fill	VERB
esrj-41988	286	6	,	,	PUNCT
esrj-41988	286	7	proceedings	proceeding	NOUN
esrj-41988	286	8	of	of	ADP
esrj-41988	286	9	the	the	DET
esrj-41988	286	10	8th	8th	ADJ
esrj-41988	286	11	international	international	ADJ
esrj-41988	286	12	conference	conference	NOUN
esrj-41988	286	13	on	on	ADP
esrj-41988	286	14	soil	soil	NOUN
esrj-41988	286	15	mechanics	mechanic	NOUN
esrj-41988	286	16	and	and	CCONJ
esrj-41988	286	17	foundation	foundation	PROPN
esrj-41988	286	18	engineering	engineering	PROPN
esrj-41988	286	19	,	,	PUNCT
esrj-41988	286	20	balkema	balkema	NOUN
esrj-41988	286	21	,	,	PUNCT
esrj-41988	286	22	rotterdam	rotterdam	NOUN
esrj-41988	286	23	,	,	PUNCT
esrj-41988	286	24	207	207	NUM
esrj-41988	286	25	-	-	SYM
esrj-41988	286	26	210	210	NUM
esrj-41988	286	27	.	.	PUNCT
esrj-41988	287	1	sugeno	sugeno	NOUN
esrj-41988	287	2	,	,	PUNCT
esrj-41988	287	3	m.	m.	NOUN
esrj-41988	287	4	and	and	CCONJ
esrj-41988	287	5	kang	kang	PROPN
esrj-41988	287	6	,	,	PUNCT
esrj-41988	287	7	g.t	g.t	PROPN
esrj-41988	287	8	.	.	PROPN
esrj-41988	287	9	(	(	PUNCT
esrj-41988	287	10	1988	1988	NUM
esrj-41988	287	11	)	)	PUNCT
esrj-41988	287	12	.	.	PUNCT
esrj-41988	288	1	structure	structure	NOUN
esrj-41988	288	2	identification	identification	NOUN
esrj-41988	288	3	of	of	ADP
esrj-41988	288	4	fuzzy	fuzzy	ADJ
esrj-41988	288	5	model	model	NOUN
esrj-41988	288	6	,	,	PUNCT
esrj-41988	288	7	fuzzy	fuzzy	ADJ
esrj-41988	288	8	sets	set	NOUN
esrj-41988	288	9	systems	system	NOUN
esrj-41988	288	10	.	.	PUNCT
esrj-41988	289	1	28	28	NUM
esrj-41988	289	2	,	,	PUNCT
esrj-41988	289	3	15–33	15–33	NUM
esrj-41988	289	4	.	.	PUNCT
esrj-41988	290	1	stoltz	stoltz	PROPN
esrj-41988	290	2	,	,	PUNCT
esrj-41988	290	3	g.	g.	PROPN
esrj-41988	290	4	,	,	PUNCT
esrj-41988	290	5	and	and	CCONJ
esrj-41988	290	6	gourc	gourc	PROPN
esrj-41988	290	7	,	,	PUNCT
esrj-41988	290	8	j.	j.	PROPN
esrj-41988	290	9	p.	p.	PROPN
esrj-41988	290	10	(	(	PUNCT
esrj-41988	290	11	2007	2007	NUM
esrj-41988	290	12	)	)	PUNCT
esrj-41988	290	13	.	.	PUNCT
esrj-41988	291	1	influence	influence	NOUN
esrj-41988	291	2	of	of	ADP
esrj-41988	291	3	compressibility	compressibility	NOUN
esrj-41988	291	4	of	of	ADP
esrj-41988	291	5	domestic	domestic	ADJ
esrj-41988	291	6	waste	waste	NOUN
esrj-41988	291	7	on	on	ADP
esrj-41988	291	8	fluid	fluid	ADJ
esrj-41988	291	9	permeability	permeability	NOUN
esrj-41988	291	10	,	,	PUNCT
esrj-41988	291	11	proceedings	proceeding	NOUN
esrj-41988	291	12	of	of	ADP
esrj-41988	291	13	the	the	DET
esrj-41988	291	14	11th	11th	ADJ
esrj-41988	291	15	international	international	ADJ
esrj-41988	291	16	waste	waste	NOUN
esrj-41988	291	17	management	management	NOUN
esrj-41988	291	18	and	and	CCONJ
esrj-41988	291	19	landfill	landfill	NOUN
esrj-41988	291	20	symposium	symposium	NOUN
esrj-41988	291	21	,	,	PUNCT
esrj-41988	291	22	cagliari	cagliari	PROPN
esrj-41988	291	23	,	,	PUNCT
esrj-41988	291	24	italy	italy	PROPN
esrj-41988	291	25	,	,	PUNCT
esrj-41988	291	26	cisa	cisa	PROPN
esrj-41988	291	27	,	,	PUNCT
esrj-41988	291	28	environmental	environmental	ADJ
esrj-41988	291	29	sanitary	sanitary	NOUN
esrj-41988	291	30	engineering	engineering	NOUN
esrj-41988	291	31	centre	centre	NOUN
esrj-41988	291	32	,	,	PUNCT
esrj-41988	291	33	italy	italy	PROPN
esrj-41988	291	34	,	,	PUNCT
esrj-41988	291	35	1	1	NUM
esrj-41988	291	36	-	-	SYM
esrj-41988	291	37	8	8	NUM
esrj-41988	291	38	.	.	PUNCT
esrj-41988	292	1	stoltz	stoltz	PROPN
esrj-41988	292	2	,	,	PUNCT
esrj-41988	292	3	g.	g.	PROPN
esrj-41988	292	4	,	,	PUNCT
esrj-41988	292	5	gourc	gourc	PROPN
esrj-41988	292	6	,	,	PUNCT
esrj-41988	292	7	j.p	j.p	PROPN
esrj-41988	292	8	.	.	PROPN
esrj-41988	292	9	and	and	CCONJ
esrj-41988	292	10	oxarango	oxarango	NOUN
esrj-41988	292	11	,	,	PUNCT
esrj-41988	292	12	l.	l.	PROPN
esrj-41988	292	13	(	(	PUNCT
esrj-41988	292	14	2010	2010	NUM
esrj-41988	292	15	)	)	PUNCT
esrj-41988	292	16	.	.	PUNCT
esrj-41988	293	1	characterisation	characterisation	NOUN
esrj-41988	293	2	of	of	ADP
esrj-41988	293	3	the	the	DET
esrj-41988	293	4	physico	physico	NOUN
esrj-41988	293	5	-	-	PUNCT
esrj-41988	293	6	mechanical	mechanical	ADJ
esrj-41988	293	7	parameters	parameter	NOUN
esrj-41988	293	8	of	of	ADP
esrj-41988	293	9	msw	msw	NOUN
esrj-41988	293	10	,	,	PUNCT
esrj-41988	293	11	waste	waste	NOUN
esrj-41988	293	12	management	management	NOUN
esrj-41988	293	13	journal	journal	NOUN
esrj-41988	293	14	.	.	PUNCT
esrj-41988	294	1	30	30	NUM
esrj-41988	294	2	,	,	PUNCT
esrj-41988	294	3	1439	1439	NUM
esrj-41988	294	4	-	-	SYM
esrj-41988	294	5	1449	1449	NUM
esrj-41988	294	6	.	.	PUNCT
esrj-41988	295	1	swati	swati	PROPN
esrj-41988	295	2	,	,	PUNCT
esrj-41988	295	3	m.	m.	NOUN
esrj-41988	295	4	and	and	CCONJ
esrj-41988	295	5	joseph	joseph	PROPN
esrj-41988	295	6	,	,	PUNCT
esrj-41988	295	7	k.	k.	PROPN
esrj-41988	295	8	(	(	PUNCT
esrj-41988	295	9	2008	2008	NUM
esrj-41988	295	10	)	)	PUNCT
esrj-41988	295	11	.	.	PUNCT
esrj-41988	296	1	settlement	settlement	NOUN
esrj-41988	296	2	analysis	analysis	NOUN
esrj-41988	296	3	of	of	ADP
esrj-41988	296	4	fresh	fresh	ADJ
esrj-41988	296	5	and	and	CCONJ
esrj-41988	296	6	partially	partially	ADV
esrj-41988	296	7	stabilized	stabilize	VERB
esrj-41988	296	8	municipal	municipal	ADJ
esrj-41988	296	9	solid	solid	ADJ
esrj-41988	296	10	waste	waste	NOUN
esrj-41988	296	11	in	in	ADP
esrj-41988	296	12	simulated	simulate	VERB
esrj-41988	296	13	controlled	control	VERB
esrj-41988	296	14	dumps	dump	NOUN
esrj-41988	296	15	and	and	CCONJ
esrj-41988	296	16	bioreactor	bioreactor	NOUN
esrj-41988	296	17	landfills	landfill	NOUN
esrj-41988	296	18	,	,	PUNCT
esrj-41988	296	19	waste	waste	NOUN
esrj-41988	296	20	management	management	NOUN
esrj-41988	296	21	journal	journal	NOUN
esrj-41988	296	22	.	.	PUNCT
esrj-41988	297	1	28	28	NUM
esrj-41988	297	2	,	,	PUNCT
esrj-41988	297	3	1355	1355	NUM
esrj-41988	297	4	-	-	SYM
esrj-41988	297	5	1363	1363	NUM
esrj-41988	297	6	.	.	PUNCT
esrj-41988	298	1	venkatesh	venkatesh	PROPN
esrj-41988	298	2	,	,	PUNCT
esrj-41988	298	3	k.	k.	PROPN
esrj-41988	298	4	,	,	PUNCT
esrj-41988	298	5	kumar	kumar	PROPN
esrj-41988	298	6	,	,	PUNCT
esrj-41988	298	7	v.	v.	PROPN
esrj-41988	298	8	and	and	CCONJ
esrj-41988	298	9	tiwari	tiwari	PROPN
esrj-41988	298	10	,	,	PUNCT
esrj-41988	298	11	r.	r.	PROPN
esrj-41988	298	12	p.	p.	PROPN
esrj-41988	298	13	(	(	PUNCT
esrj-41988	298	14	2013	2013	NUM
esrj-41988	298	15	)	)	PUNCT
esrj-41988	298	16	.	.	PUNCT
esrj-41988	299	1	appraisal	appraisal	NOUN
esrj-41988	299	2	of	of	ADP
esrj-41988	299	3	liquefaction	liquefaction	NOUN
esrj-41988	299	4	potential	potential	NOUN
esrj-41988	299	5	using	use	VERB
esrj-41988	299	6	neural	neural	ADJ
esrj-41988	299	7	network	network	NOUN
esrj-41988	299	8	and	and	CCONJ
esrj-41988	299	9	neuro	neuro	PROPN
esrj-41988	299	10	fuzzy	fuzzy	ADJ
esrj-41988	299	11	approach	approach	NOUN
esrj-41988	299	12	,	,	PUNCT
esrj-41988	299	13	applied	apply	VERB
esrj-41988	299	14	artificial	artificial	ADJ
esrj-41988	299	15	intelligence	intelligence	NOUN
esrj-41988	299	16	:	:	PUNCT
esrj-41988	299	17	an	an	DET
esrj-41988	299	18	international	international	ADJ
esrj-41988	299	19	journal	journal	NOUN
esrj-41988	299	20	.	.	PUNCT
esrj-41988	300	1	27	27	NUM
esrj-41988	300	2	,	,	PUNCT
esrj-41988	300	3	700	700	NUM
esrj-41988	300	4	-	-	SYM
esrj-41988	300	5	720	720	NUM
esrj-41988	300	6	.	.	PUNCT
esrj-41988	301	1	vilar	vilar	PROPN
esrj-41988	301	2	,	,	PUNCT
esrj-41988	301	3	o.m	o.m	PROPN
esrj-41988	301	4	.	.	PROPN
esrj-41988	301	5	and	and	CCONJ
esrj-41988	301	6	carvalho	carvalho	PROPN
esrj-41988	301	7	,	,	PUNCT
esrj-41988	301	8	m.	m.	PROPN
esrj-41988	301	9	f.	f.	PROPN
esrj-41988	301	10	(	(	PUNCT
esrj-41988	301	11	2004	2004	NUM
esrj-41988	301	12	)	)	PUNCT
esrj-41988	301	13	.	.	PUNCT
esrj-41988	302	1	mechanical	mechanical	ADJ
esrj-41988	302	2	properties	property	NOUN
esrj-41988	302	3	of	of	ADP
esrj-41988	302	4	municipal	municipal	ADJ
esrj-41988	302	5	solid	solid	ADJ
esrj-41988	302	6	waste	waste	NOUN
esrj-41988	302	7	,	,	PUNCT
esrj-41988	302	8	testing	testing	NOUN
esrj-41988	302	9	and	and	CCONJ
esrj-41988	302	10	evaluation	evaluation	NOUN
esrj-41988	302	11	journal	journal	NOUN
esrj-41988	302	12	.	.	PUNCT
esrj-41988	303	1	32	32	NUM
esrj-41988	303	2	,	,	PUNCT
esrj-41988	303	3	438	438	NUM
esrj-41988	303	4	-	-	SYM
esrj-41988	303	5	449	449	NUM
esrj-41988	303	6	.	.	PUNCT
esrj-41988	303	7	wall	wall	PROPN
esrj-41988	303	8	,	,	PUNCT
esrj-41988	303	9	d.	d.	PROPN
esrj-41988	303	10	and	and	CCONJ
esrj-41988	303	11	zeiss	zeiss	PROPN
esrj-41988	303	12	,	,	PUNCT
esrj-41988	303	13	c.	c.	PROPN
esrj-41988	303	14	(	(	PUNCT
esrj-41988	303	15	1995	1995	NUM
esrj-41988	303	16	)	)	PUNCT
esrj-41988	303	17	.	.	PUNCT
esrj-41988	304	1	municipal	municipal	ADJ
esrj-41988	304	2	landfill	landfill	NOUN
esrj-41988	304	3	biodegradation	biodegradation	NOUN
esrj-41988	304	4	and	and	CCONJ
esrj-41988	304	5	settlement	settlement	NOUN
esrj-41988	304	6	,	,	PUNCT
esrj-41988	304	7	environmental	environmental	ADJ
esrj-41988	304	8	engineering	engineering	NOUN
esrj-41988	304	9	journal	journal	NOUN
esrj-41988	304	10	.	.	PUNCT
esrj-41988	305	1	121	121	NUM
esrj-41988	305	2	,	,	PUNCT
esrj-41988	305	3	214	214	NUM
esrj-41988	305	4	-	-	SYM
esrj-41988	305	5	224	224	NUM
esrj-41988	305	6	.	.	PUNCT