id	sid	tid	token	lemma	pos
cjfa-8205	1	1	copernican	copernican	PROPN
cjfa-8205	1	2	journal	journal	PROPN
cjfa-8205	1	3	of	of	ADP
cjfa-8205	1	4	finance	finance	PROPN
cjfa-8205	1	5	&	&	CCONJ
cjfa-8205	1	6	accounting	accounting	PROPN
cjfa-8205	1	7	e	e	PROPN
cjfa-8205	1	8	-	-	PROPN
cjfa-8205	1	9	issn	issn	PROPN
cjfa-8205	1	10	2300	2300	NUM
cjfa-8205	1	11	-	-	SYM
cjfa-8205	1	12	3065	3065	NUM
cjfa-8205	1	13	p	p	PROPN
cjfa-8205	1	14	-	-	PUNCT
cjfa-8205	1	15	issn	issn	PROPN
cjfa-8205	1	16	2300	2300	NUM
cjfa-8205	1	17	-	-	SYM
cjfa-8205	1	18	12402015	12402015	NUM
cjfa-8205	1	19	,	,	PUNCT
cjfa-8205	1	20	volume	volume	NOUN
cjfa-8205	1	21	4	4	NUM
cjfa-8205	1	22	,	,	PUNCT
cjfa-8205	1	23	issue	issue	NOUN
cjfa-8205	1	24	2	2	NUM
cjfa-8205	1	25	date	date	NOUN
cjfa-8205	1	26	of	of	ADP
cjfa-8205	1	27	submission	submission	NOUN
cjfa-8205	1	28	:	:	PUNCT
cjfa-8205	1	29	august	august	PROPN
cjfa-8205	1	30	7	7	NUM
cjfa-8205	1	31	,	,	PUNCT
cjfa-8205	1	32	2015	2015	NUM
cjfa-8205	1	33	:	:	PUNCT
cjfa-8205	1	34	date	date	NOUN
cjfa-8205	1	35	of	of	ADP
cjfa-8205	1	36	acceptance	acceptance	NOUN
cjfa-8205	1	37	:	:	PUNCT
cjfa-8205	1	38	october	october	PROPN
cjfa-8205	1	39	14	14	NUM
cjfa-8205	1	40	,	,	PUNCT
cjfa-8205	1	41	2015	2015	NUM
cjfa-8205	1	42	.	.	PUNCT
cjfa-8205	2	1	*	*	PUNCT
cjfa-8205	2	2	contact	contact	NOUN
cjfa-8205	2	3	information	information	NOUN
cjfa-8205	2	4	:	:	PUNCT
cjfa-8205	2	5	gediminas.zylius@ktu.edu	gediminas.zylius@ktu.edu	PROPN
cjfa-8205	2	6	,	,	PUNCT
cjfa-8205	2	7	department	department	NOUN
cjfa-8205	2	8	of	of	ADP
cjfa-8205	2	9	automation	automation	NOUN
cjfa-8205	2	10	,	,	PUNCT
cjfa-8205	2	11	faculty	faculty	NOUN
cjfa-8205	2	12	of	of	ADP
cjfa-8205	2	13	electrical	electrical	ADJ
cjfa-8205	2	14	and	and	CCONJ
cjfa-8205	2	15	electronics	electronic	NOUN
cjfa-8205	2	16	engineering	engineering	NOUN
cjfa-8205	2	17	,	,	PUNCT
cjfa-8205	2	18	kaunas	kaunas	PROPN
cjfa-8205	2	19	university	university	PROPN
cjfa-8205	2	20	of	of	ADP
cjfa-8205	2	21	technology	technology	NOUN
cjfa-8205	2	22	,	,	PUNCT
cjfa-8205	2	23	studentų	studentų	NOUN
cjfa-8205	2	24	g.	g.	PROPN
cjfa-8205	2	25	50	50	NUM
cjfa-8205	2	26	154	154	NUM
cjfa-8205	2	27	,	,	PUNCT
cjfa-8205	2	28	lt	lt	PROPN
cjfa-8205	2	29	51367	51367	NUM
cjfa-8205	2	30	kaunas	kaunas	PROPN
cjfa-8205	2	31	,	,	PUNCT
cjfa-8205	2	32	lithuania	lithuania	PROPN
cjfa-8205	2	33	,	,	PUNCT
cjfa-8205	2	34	phone	phone	NOUN
cjfa-8205	2	35	:	:	PUNCT
cjfa-8205	2	36	+370	+370	NUM
cjfa-8205	3	1	642	642	NUM
cjfa-8205	3	2	04	04	NUM
cjfa-8205	3	3	808	808	NUM
cjfa-8205	3	4	.	.	PUNCT
cjfa-8205	3	5	žylius	žylius	PROPN
cjfa-8205	3	6	g.	g.	PROPN
cjfa-8205	3	7	(	(	PUNCT
cjfa-8205	3	8	2015	2015	NUM
cjfa-8205	3	9	)	)	PUNCT
cjfa-8205	3	10	.	.	PUNCT
cjfa-8205	4	1	evaluation	evaluation	NOUN
cjfa-8205	4	2	of	of	ADP
cjfa-8205	4	3	atm	atm	ADJ
cjfa-8205	4	4	cash	cash	NOUN
cjfa-8205	4	5	demand	demand	NOUN
cjfa-8205	4	6	process	process	NOUN
cjfa-8205	4	7	factors	factor	NOUN
cjfa-8205	4	8	applied	apply	VERB
cjfa-8205	4	9	for	for	ADP
cjfa-8205	4	10	forecasting	forecast	VERB
cjfa-8205	4	11	with	with	ADP
cjfa-8205	4	12	ci	ci	NOUN
cjfa-8205	4	13	models	model	NOUN
cjfa-8205	4	14	.	.	PUNCT
cjfa-8205	5	1	copernican	copernican	PROPN
cjfa-8205	5	2	journal	journal	PROPN
cjfa-8205	5	3	of	of	ADP
cjfa-8205	5	4	finance	finance	PROPN
cjfa-8205	5	5	&	&	CCONJ
cjfa-8205	5	6	accounting	accounting	PROPN
cjfa-8205	5	7	,	,	PUNCT
cjfa-8205	5	8	4(2	4(2	NUM
cjfa-8205	5	9	)	)	PUNCT
cjfa-8205	5	10	,	,	PUNCT
cjfa-8205	5	11	211–235	211–235	NUM
cjfa-8205	5	12	.	.	PUNCT
cjfa-8205	6	1	http://dx.doi.org/10.12775/	http://dx.doi.org/10.12775/	PROPN
cjfa-8205	6	2	cjfa.2015.025	cjfa.2015.025	PROPN
cjfa-8205	6	3	gediminas	gediminas	PROPN
cjfa-8205	6	4	žylius	žylius	PROPN
cjfa-8205	6	5	*	*	PROPN
cjfa-8205	6	6	kaunas	kaunas	PROPN
cjfa-8205	6	7	university	university	PROPN
cjfa-8205	6	8	of	of	ADP
cjfa-8205	6	9	technology	technology	NOUN
cjfa-8205	6	10	evaluation	evaluation	NOUN
cjfa-8205	6	11	of	of	ADP
cjfa-8205	6	12	atm	atm	ADJ
cjfa-8205	6	13	cash	cash	NOUN
cjfa-8205	6	14	demand	demand	NOUN
cjfa-8205	6	15	process	process	NOUN
cjfa-8205	6	16	factors	factor	NOUN
cjfa-8205	6	17	applied	apply	VERB
cjfa-8205	6	18	for	for	ADP
cjfa-8205	6	19	forecasting	forecasting	NOUN
cjfa-8205	6	20	with	with	ADP
cjfa-8205	6	21	ci	ci	NOUN
cjfa-8205	6	22	models	model	NOUN
cjfa-8205	6	23	keywords	keyword	NOUN
cjfa-8205	6	24	:	:	PUNCT
cjfa-8205	6	25	computational	computational	ADJ
cjfa-8205	6	26	intelligence	intelligence	NOUN
cjfa-8205	6	27	,	,	PUNCT
cjfa-8205	6	28	regression	regression	NOUN
cjfa-8205	6	29	,	,	PUNCT
cjfa-8205	6	30	time	time	NOUN
cjfa-8205	6	31	series	series	PROPN
cjfa-8205	6	32	forecasting	forecasting	NOUN
cjfa-8205	6	33	,	,	PUNCT
cjfa-8205	6	34	cash	cash	NOUN
cjfa-8205	6	35	management	management	NOUN
cjfa-8205	6	36	,	,	PUNCT
cjfa-8205	6	37	data	data	NOUN
cjfa-8205	6	38	-	-	PUNCT
cjfa-8205	6	39	based	base	VERB
cjfa-8205	6	40	forecasting	forecasting	NOUN
cjfa-8205	6	41	,	,	PUNCT
cjfa-8205	6	42	daily	daily	ADJ
cjfa-8205	6	43	cash	cash	NOUN
cjfa-8205	6	44	flow	flow	NOUN
cjfa-8205	6	45	.	.	PUNCT
cjfa-8205	7	1	j	j	PROPN
cjfa-8205	7	2	e	e	NOUN
cjfa-8205	7	3	l	l	PROPN
cjfa-8205	7	4	classification	classification	NOUN
cjfa-8205	7	5	:	:	PUNCT
cjfa-8205	8	1	c45	c45	PROPN
cjfa-8205	8	2	,	,	PUNCT
cjfa-8205	8	3	c53	c53	NOUN
cjfa-8205	8	4	,	,	PUNCT
cjfa-8205	8	5	g21	g21	PROPN
cjfa-8205	8	6	.	.	PUNCT
cjfa-8205	9	1	abstract	abstract	PROPN
cjfa-8205	9	2	:	:	PUNCT
cjfa-8205	9	3	the	the	DET
cjfa-8205	9	4	purpose	purpose	NOUN
cjfa-8205	9	5	of	of	ADP
cjfa-8205	9	6	cash	cash	NOUN
cjfa-8205	9	7	management	management	NOUN
cjfa-8205	9	8	is	be	AUX
cjfa-8205	9	9	to	to	PART
cjfa-8205	9	10	optimize	optimize	VERB
cjfa-8205	9	11	distribution	distribution	NOUN
cjfa-8205	9	12	of	of	ADP
cjfa-8205	9	13	cash	cash	NOUN
cjfa-8205	9	14	.	.	PUNCT
cjfa-8205	10	1	effective	effective	ADJ
cjfa-8205	10	2	cash	cash	NOUN
cjfa-8205	10	3	management	management	NOUN
cjfa-8205	10	4	brings	bring	VERB
cjfa-8205	10	5	savings	saving	NOUN
cjfa-8205	10	6	to	to	ADP
cjfa-8205	10	7	retail	retail	ADJ
cjfa-8205	10	8	banks	bank	NOUN
cjfa-8205	10	9	that	that	PRON
cjfa-8205	10	10	are	be	AUX
cjfa-8205	10	11	related	relate	VERB
cjfa-8205	10	12	to	to	PART
cjfa-8205	10	13	:	:	PUNCT
cjfa-8205	10	14	dormant	dormant	VERB
cjfa-8205	10	15	cash	cash	NOUN
cjfa-8205	10	16	reduction	reduction	NOUN
cjfa-8205	10	17	;	;	PUNCT
cjfa-8205	10	18	reduced	reduce	VERB
cjfa-8205	10	19	replenishment	replenishment	NOUN
cjfa-8205	10	20	costs	cost	NOUN
cjfa-8205	10	21	;	;	PUNCT
cjfa-8205	10	22	decrease	decrease	NOUN
cjfa-8205	10	23	of	of	ADP
cjfa-8205	10	24	cash	cash	NOUN
cjfa-8205	10	25	preparation	preparation	NOUN
cjfa-8205	10	26	costs	cost	NOUN
cjfa-8205	10	27	;	;	PUNCT
cjfa-8205	10	28	reduction	reduction	NOUN
cjfa-8205	10	29	of	of	ADP
cjfa-8205	10	30	cash	cash	NOUN
cjfa-8205	10	31	insurance	insurance	NOUN
cjfa-8205	10	32	costs	cost	NOUN
cjfa-8205	10	33	.	.	PUNCT
cjfa-8205	11	1	optimization	optimization	NOUN
cjfa-8205	11	2	of	of	ADP
cjfa-8205	11	3	cash	cash	NOUN
cjfa-8205	11	4	distribution	distribution	NOUN
cjfa-8205	11	5	for	for	ADP
cjfa-8205	11	6	retail	retail	ADJ
cjfa-8205	11	7	banking	banking	NOUN
cjfa-8205	11	8	in	in	ADP
cjfa-8205	11	9	atm	atm	NOUN
cjfa-8205	11	10	and	and	CCONJ
cjfa-8205	11	11	branch	branch	NOUN
cjfa-8205	11	12	networks	network	NOUN
cjfa-8205	11	13	requires	require	VERB
cjfa-8205	11	14	estimation	estimation	NOUN
cjfa-8205	11	15	of	of	ADP
cjfa-8205	11	16	cash	cash	NOUN
cjfa-8205	11	17	demand	demand	NOUN
cjfa-8205	11	18	/	/	SYM
cjfa-8205	11	19	supply	supply	NOUN
cjfa-8205	11	20	in	in	ADP
cjfa-8205	11	21	the	the	DET
cjfa-8205	11	22	future	future	NOUN
cjfa-8205	11	23	.	.	PUNCT
cjfa-8205	12	1	this	this	DET
cjfa-8205	12	2	estimation	estimation	NOUN
cjfa-8205	12	3	determines	determine	VERB
cjfa-8205	12	4	overall	overall	ADJ
cjfa-8205	12	5	cash	cash	NOUN
cjfa-8205	12	6	management	management	NOUN
cjfa-8205	12	7	efficiency	efficiency	NOUN
cjfa-8205	12	8	:	:	PUNCT
cjfa-8205	12	9	accurate	accurate	ADJ
cjfa-8205	12	10	cash	cash	NOUN
cjfa-8205	12	11	demand	demand	NOUN
cjfa-8205	12	12	estimation	estimation	NOUN
cjfa-8205	12	13	reduces	reduce	VERB
cjfa-8205	12	14	bank	bank	NOUN
cjfa-8205	12	15	overall	overall	ADJ
cjfa-8205	12	16	costs	cost	NOUN
cjfa-8205	12	17	.	.	PUNCT
cjfa-8205	13	1	in	in	ADP
cjfa-8205	13	2	order	order	NOUN
cjfa-8205	13	3	to	to	PART
cjfa-8205	13	4	estimate	estimate	VERB
cjfa-8205	13	5	cash	cash	NOUN
cjfa-8205	13	6	demand	demand	NOUN
cjfa-8205	13	7	in	in	ADP
cjfa-8205	13	8	the	the	DET
cjfa-8205	13	9	future	future	NOUN
cjfa-8205	13	10	,	,	PUNCT
cjfa-8205	13	11	cash	cash	NOUN
cjfa-8205	13	12	flow	flow	NOUN
cjfa-8205	13	13	forecasting	forecasting	NOUN
cjfa-8205	13	14	must	must	AUX
cjfa-8205	13	15	be	be	AUX
cjfa-8205	13	16	performed	perform	VERB
cjfa-8205	13	17	that	that	PRON
cjfa-8205	13	18	is	be	AUX
cjfa-8205	13	19	usually	usually	ADV
cjfa-8205	13	20	based	base	VERB
cjfa-8205	13	21	on	on	ADP
cjfa-8205	13	22	historical	historical	ADJ
cjfa-8205	13	23	cash	cash	NOUN
cjfa-8205	13	24	point	point	NOUN
cjfa-8205	13	25	(	(	PUNCT
cjfa-8205	13	26	atm	atm	NOUN
cjfa-8205	13	27	or	or	CCONJ
cjfa-8205	13	28	branch	branch	NOUN
cjfa-8205	13	29	)	)	PUNCT
cjfa-8205	13	30	cash	cash	NOUN
cjfa-8205	13	31	flow	flow	NOUN
cjfa-8205	13	32	data	datum	NOUN
cjfa-8205	13	33	.	.	PUNCT
cjfa-8205	14	1	many	many	ADJ
cjfa-8205	14	2	factors	factor	NOUN
cjfa-8205	14	3	that	that	PRON
cjfa-8205	14	4	are	be	AUX
cjfa-8205	14	5	uncertain	uncertain	ADJ
cjfa-8205	14	6	and	and	CCONJ
cjfa-8205	14	7	may	may	AUX
cjfa-8205	14	8	change	change	VERB
cjfa-8205	14	9	in	in	ADP
cjfa-8205	14	10	time	time	NOUN
cjfa-8205	14	11	influence	influence	NOUN
cjfa-8205	14	12	cash	cash	NOUN
cjfa-8205	14	13	supply	supply	NOUN
cjfa-8205	14	14	/	/	SYM
cjfa-8205	14	15	demand	demand	NOUN
cjfa-8205	14	16	process	process	NOUN
cjfa-8205	14	17	for	for	ADP
cjfa-8205	14	18	cash	cash	NOUN
cjfa-8205	14	19	point	point	NOUN
cjfa-8205	14	20	.	.	PUNCT
cjfa-8205	15	1	these	these	PRON
cjfa-8205	15	2	may	may	AUX
cjfa-8205	15	3	change	change	VERB
cjfa-8205	15	4	throughout	throughout	ADP
cjfa-8205	15	5	cash	cash	NOUN
cjfa-8205	15	6	points	point	NOUN
cjfa-8205	15	7	and	and	CCONJ
cjfa-8205	15	8	are	be	AUX
cjfa-8205	15	9	related	relate	VERB
cjfa-8205	15	10	to	to	ADP
cjfa-8205	15	11	location	location	NOUN
cjfa-8205	15	12	,	,	PUNCT
cjfa-8205	15	13	climate	climate	NOUN
cjfa-8205	15	14	,	,	PUNCT
cjfa-8205	15	15	holiday	holiday	NOUN
cjfa-8205	15	16	,	,	PUNCT
cjfa-8205	15	17	celebration	celebration	NOUN
cjfa-8205	15	18	day	day	NOUN
cjfa-8205	15	19	and	and	CCONJ
cjfa-8205	15	20	special	special	ADJ
cjfa-8205	15	21	event	event	NOUN
cjfa-8205	15	22	(	(	PUNCT
cjfa-8205	15	23	such	such	ADJ
cjfa-8205	15	24	as	as	ADP
cjfa-8205	15	25	salary	salary	NOUN
cjfa-8205	15	26	days	day	NOUN
cjfa-8205	15	27	and	and	CCONJ
cjfa-8205	15	28	sale	sale	NOUN
cjfa-8205	15	29	of	of	ADP
cjfa-8205	15	30	nearby	nearby	ADJ
cjfa-8205	15	31	supermarket	supermarket	NOUN
cjfa-8205	15	32	)	)	PUNCT
cjfa-8205	15	33	factors	factor	NOUN
cjfa-8205	15	34	.	.	PUNCT
cjfa-8205	16	1	some	some	DET
cjfa-8205	16	2	factors	factor	NOUN
cjfa-8205	16	3	affect	affect	VERB
cjfa-8205	16	4	cash	cash	NOUN
cjfa-8205	16	5	demand	demand	NOUN
cjfa-8205	16	6	periodically	periodically	ADV
cjfa-8205	16	7	.	.	PUNCT
cjfa-8205	17	1	periodical	periodical	ADJ
cjfa-8205	17	2	factors	factor	NOUN
cjfa-8205	17	3	form	form	VERB
cjfa-8205	17	4	various	various	ADJ
cjfa-8205	17	5	seasonality	seasonality	NOUN
cjfa-8205	17	6	in	in	ADP
cjfa-8205	17	7	cash	cash	NOUN
cjfa-8205	17	8	flow	flow	NOUN
cjfa-8205	17	9	process	process	NOUN
cjfa-8205	17	10	:	:	PUNCT
cjfa-8205	17	11	daily	daily	ADJ
cjfa-8205	17	12	(	(	PUNCT
cjfa-8205	17	13	related	relate	VERB
cjfa-8205	17	14	to	to	ADP
cjfa-8205	17	15	intraday	intraday	NOUN
cjfa-8205	17	16	factors	factor	NOUN
cjfa-8205	17	17	throughout	throughout	ADP
cjfa-8205	17	18	the	the	DET
cjfa-8205	17	19	day	day	NOUN
cjfa-8205	17	20	)	)	PUNCT
cjfa-8205	17	21	,	,	PUNCT
cjfa-8205	17	22	weekly	weekly	ADV
cjfa-8205	17	23	(	(	PUNCT
cjfa-8205	17	24	mostly	mostly	ADV
cjfa-8205	17	25	related	relate	VERB
cjfa-8205	17	26	to	to	ADP
cjfa-8205	17	27	weekend	weekend	NOUN
cjfa-8205	17	28	effects	effect	NOUN
cjfa-8205	17	29	)	)	PUNCT
cjfa-8205	17	30	,	,	PUNCT
cjfa-8205	17	31	monthly	monthly	ADJ
cjfa-8205	17	32	gediminas	gedimina	NOUN
cjfa-8205	17	33	žylius212	žylius212	PROPN
cjfa-8205	17	34	(	(	PUNCT
cjfa-8205	17	35	related	relate	VERB
cjfa-8205	17	36	to	to	ADP
cjfa-8205	17	37	payday	payday	NOUN
cjfa-8205	17	38	)	)	PUNCT
cjfa-8205	17	39	and	and	CCONJ
cjfa-8205	17	40	yearly	yearly	ADV
cjfa-8205	17	41	(	(	PUNCT
cjfa-8205	17	42	related	relate	VERB
cjfa-8205	17	43	to	to	ADP
cjfa-8205	17	44	climate	climate	NOUN
cjfa-8205	17	45	seasons	season	NOUN
cjfa-8205	17	46	,	,	PUNCT
cjfa-8205	17	47	tourist	tourist	NOUN
cjfa-8205	17	48	and	and	CCONJ
cjfa-8205	17	49	student	student	NOUN
cjfa-8205	17	50	arrivals	arrival	NOUN
cjfa-8205	17	51	,	,	PUNCT
cjfa-8205	17	52	periodical	periodical	ADJ
cjfa-8205	17	53	celebration	celebration	NOUN
cjfa-8205	17	54	days	day	NOUN
cjfa-8205	17	55	such	such	ADJ
cjfa-8205	17	56	as	as	ADP
cjfa-8205	17	57	new	new	ADJ
cjfa-8205	17	58	year	year	NOUN
cjfa-8205	17	59	)	)	PUNCT
cjfa-8205	17	60	seasons	season	NOUN
cjfa-8205	17	61	.	.	PUNCT
cjfa-8205	18	1	uncertain	uncertain	ADJ
cjfa-8205	18	2	(	(	PUNCT
cjfa-8205	18	3	aperiodic	aperiodic	ADJ
cjfa-8205	18	4	)	)	PUNCT
cjfa-8205	18	5	factors	factor	NOUN
cjfa-8205	18	6	are	be	AUX
cjfa-8205	18	7	mostly	mostly	ADV
cjfa-8205	18	8	related	relate	VERB
cjfa-8205	18	9	to	to	ADP
cjfa-8205	18	10	celebration	celebration	NOUN
cjfa-8205	18	11	days	day	NOUN
cjfa-8205	18	12	that	that	PRON
cjfa-8205	18	13	do	do	AUX
cjfa-8205	18	14	not	not	PART
cjfa-8205	18	15	occur	occur	VERB
cjfa-8205	18	16	periodically	periodically	ADV
cjfa-8205	18	17	(	(	PUNCT
cjfa-8205	18	18	such	such	ADJ
cjfa-8205	18	19	as	as	ADP
cjfa-8205	18	20	easter	easter	NOUN
cjfa-8205	18	21	)	)	PUNCT
cjfa-8205	18	22	,	,	PUNCT
cjfa-8205	18	23	structural	structural	ADJ
cjfa-8205	18	24	break	break	NOUN
cjfa-8205	18	25	factors	factor	NOUN
cjfa-8205	18	26	that	that	PRON
cjfa-8205	18	27	form	form	VERB
cjfa-8205	18	28	long	long	ADJ
cjfa-8205	18	29	term	term	NOUN
cjfa-8205	18	30	or	or	CCONJ
cjfa-8205	18	31	permanent	permanent	ADJ
cjfa-8205	18	32	cash	cash	NOUN
cjfa-8205	18	33	flow	flow	NOUN
cjfa-8205	18	34	shift	shift	NOUN
cjfa-8205	18	35	(	(	PUNCT
cjfa-8205	18	36	new	new	ADJ
cjfa-8205	18	37	shopping	shopping	NOUN
cjfa-8205	18	38	mall	mall	NOUN
cjfa-8205	18	39	near	near	ADP
cjfa-8205	18	40	cash	cash	NOUN
cjfa-8205	18	41	point	point	NOUN
cjfa-8205	18	42	,	,	PUNCT
cjfa-8205	18	43	shift	shift	NOUN
cjfa-8205	18	44	of	of	ADP
cjfa-8205	18	45	working	work	VERB
cjfa-8205	18	46	hours	hour	NOUN
cjfa-8205	18	47	)	)	PUNCT
cjfa-8205	18	48	and	and	CCONJ
cjfa-8205	18	49	some	some	PRON
cjfa-8205	18	50	may	may	AUX
cjfa-8205	18	51	be	be	AUX
cjfa-8205	18	52	temporal	temporal	ADJ
cjfa-8205	18	53	(	(	PUNCT
cjfa-8205	18	54	reconstruction	reconstruction	NOUN
cjfa-8205	18	55	of	of	ADP
cjfa-8205	18	56	nearby	nearby	ADJ
cjfa-8205	18	57	building	building	NOUN
cjfa-8205	18	58	that	that	PRON
cjfa-8205	18	59	restricts	restrict	VERB
cjfa-8205	18	60	cash	cash	NOUN
cjfa-8205	18	61	point	point	NOUN
cjfa-8205	18	62	reachability	reachability	NOUN
cjfa-8205	18	63	)	)	PUNCT
cjfa-8205	18	64	.	.	PUNCT
cjfa-8205	19	1	those	those	DET
cjfa-8205	19	2	factors	factor	NOUN
cjfa-8205	19	3	form	form	VERB
cjfa-8205	19	4	cash	cash	NOUN
cjfa-8205	19	5	flow	flow	NOUN
cjfa-8205	19	6	process	process	NOUN
cjfa-8205	19	7	that	that	PRON
cjfa-8205	19	8	contains	contain	VERB
cjfa-8205	19	9	linear	linear	ADJ
cjfa-8205	19	10	or	or	CCONJ
cjfa-8205	19	11	nonlinear	nonlinear	ADJ
cjfa-8205	19	12	trend	trend	NOUN
cjfa-8205	19	13	,	,	PUNCT
cjfa-8205	19	14	mixtures	mixture	NOUN
cjfa-8205	19	15	of	of	ADP
cjfa-8205	19	16	various	various	ADJ
cjfa-8205	19	17	seasonal	seasonal	ADJ
cjfa-8205	19	18	components	component	NOUN
cjfa-8205	19	19	(	(	PUNCT
cjfa-8205	19	20	intraday	intraday	NOUN
cjfa-8205	19	21	,	,	PUNCT
cjfa-8205	19	22	weekly	weekly	ADJ
cjfa-8205	19	23	,	,	PUNCT
cjfa-8205	19	24	monthly	monthly	ADV
cjfa-8205	19	25	yearly	yearly	ADV
cjfa-8205	19	26	)	)	PUNCT
cjfa-8205	19	27	,	,	PUNCT
cjfa-8205	19	28	level	level	NOUN
cjfa-8205	19	29	shifts	shift	NOUN
cjfa-8205	19	30	and	and	CCONJ
cjfa-8205	19	31	heteroscedastic	heteroscedastic	ADJ
cjfa-8205	19	32	uncertainty	uncertainty	NOUN
cjfa-8205	19	33	.	.	PUNCT
cjfa-8205	20	1	so	so	ADV
cjfa-8205	20	2	historical	historical	ADJ
cjfa-8205	20	3	data	data	NOUN
cjfa-8205	20	4	-	-	PUNCT
cjfa-8205	20	5	based	base	VERB
cjfa-8205	20	6	forecasting	forecasting	NOUN
cjfa-8205	20	7	models	model	NOUN
cjfa-8205	20	8	need	need	VERB
cjfa-8205	20	9	to	to	PART
cjfa-8205	20	10	be	be	AUX
cjfa-8205	20	11	able	able	ADJ
cjfa-8205	20	12	to	to	PART
cjfa-8205	20	13	approximate	approximate	VERB
cjfa-8205	20	14	historical	historical	ADJ
cjfa-8205	20	15	cash	cash	NOUN
cjfa-8205	20	16	demand	demand	NOUN
cjfa-8205	20	17	process	process	NOUN
cjfa-8205	20	18	as	as	ADV
cjfa-8205	20	19	accurately	accurately	ADV
cjfa-8205	20	20	as	as	ADP
cjfa-8205	20	21	possible	possible	ADJ
cjfa-8205	20	22	properly	properly	ADV
cjfa-8205	20	23	evaluating	evaluate	VERB
cjfa-8205	20	24	these	these	DET
cjfa-8205	20	25	factors	factor	NOUN
cjfa-8205	20	26	and	and	CCONJ
cjfa-8205	20	27	perform	perform	VERB
cjfa-8205	20	28	forecasting	forecasting	NOUN
cjfa-8205	20	29	of	of	ADP
cjfa-8205	20	30	cash	cash	NOUN
cjfa-8205	20	31	flow	flow	NOUN
cjfa-8205	20	32	in	in	ADP
cjfa-8205	20	33	the	the	DET
cjfa-8205	20	34	future	future	NOUN
cjfa-8205	20	35	based	base	VERB
cjfa-8205	20	36	on	on	ADP
cjfa-8205	20	37	estimated	estimate	VERB
cjfa-8205	20	38	empirical	empirical	ADJ
cjfa-8205	20	39	relationship	relationship	NOUN
cjfa-8205	20	40	.	.	PUNCT
cjfa-8205	20	41	 	 	SPACE
cjfa-8205	21	1	introduction	introduction	NOUN
cjfa-8205	21	2	the	the	DET
cjfa-8205	21	3	aim	aim	NOUN
cjfa-8205	21	4	of	of	ADP
cjfa-8205	21	5	this	this	DET
cjfa-8205	21	6	research	research	NOUN
cjfa-8205	21	7	is	be	AUX
cjfa-8205	21	8	to	to	PART
cjfa-8205	21	9	study	study	VERB
cjfa-8205	21	10	how	how	SCONJ
cjfa-8205	21	11	cash	cash	NOUN
cjfa-8205	21	12	flow	flow	NOUN
cjfa-8205	21	13	process	process	NOUN
cjfa-8205	21	14	factors	factor	NOUN
cjfa-8205	21	15	affect	affect	VERB
cjfa-8205	21	16	cash	cash	NOUN
cjfa-8205	21	17	flow	flow	NOUN
cjfa-8205	21	18	forecasting	forecasting	NOUN
cjfa-8205	21	19	accuracy	accuracy	NOUN
cjfa-8205	21	20	in	in	ADP
cjfa-8205	21	21	atm	atm	PROPN
cjfa-8205	21	22	network	network	NOUN
cjfa-8205	21	23	,	,	PUNCT
cjfa-8205	21	24	using	use	VERB
cjfa-8205	21	25	computational	computational	ADJ
cjfa-8205	21	26	intelligence	intelligence	NOUN
cjfa-8205	21	27	methods	method	NOUN
cjfa-8205	21	28	as	as	ADP
cjfa-8205	21	29	cash	cash	NOUN
cjfa-8205	21	30	flow	flow	NOUN
cjfa-8205	21	31	forecasting	forecasting	NOUN
cjfa-8205	21	32	models	model	NOUN
cjfa-8205	21	33	when	when	SCONJ
cjfa-8205	21	34	performing	perform	VERB
cjfa-8205	21	35	daily	daily	ADV
cjfa-8205	21	36	aggregated	aggregate	VERB
cjfa-8205	21	37	cash	cash	NOUN
cjfa-8205	21	38	flow	flow	NOUN
cjfa-8205	21	39	forecasting	forecasting	NOUN
cjfa-8205	21	40	.	.	PUNCT
cjfa-8205	22	1	for	for	ADP
cjfa-8205	22	2	factor	factor	NOUN
cjfa-8205	22	3	evaluation	evaluation	NOUN
cjfa-8205	22	4	8	8	NUM
cjfa-8205	22	5	typical	typical	ADJ
cjfa-8205	22	6	(	(	PUNCT
cjfa-8205	22	7	affected	affect	VERB
cjfa-8205	22	8	by	by	ADP
cjfa-8205	22	9	different	different	ADJ
cjfa-8205	22	10	factors	factor	NOUN
cjfa-8205	22	11	)	)	PUNCT
cjfa-8205	22	12	atm	atm	ADJ
cjfa-8205	22	13	cash	cash	NOUN
cjfa-8205	22	14	withdrawal	withdrawal	NOUN
cjfa-8205	22	15	process	process	NOUN
cjfa-8205	22	16	flows	flow	NOUN
cjfa-8205	22	17	selected	select	VERB
cjfa-8205	22	18	from	from	ADP
cjfa-8205	22	19	real	real	ADJ
cjfa-8205	22	20	atm	atm	NOUN
cjfa-8205	22	21	network	network	NOUN
cjfa-8205	22	22	are	be	AUX
cjfa-8205	22	23	used	use	VERB
cjfa-8205	22	24	with	with	ADP
cjfa-8205	22	25	historical	historical	ADJ
cjfa-8205	22	26	period	period	NOUN
cjfa-8205	22	27	of	of	ADP
cjfa-8205	22	28	33	33	NUM
cjfa-8205	22	29	months	month	NOUN
cjfa-8205	22	30	.	.	PUNCT
cjfa-8205	23	1	previous	previous	ADJ
cjfa-8205	23	2	studies	study	NOUN
cjfa-8205	23	3	of	of	ADP
cjfa-8205	23	4	automatic	automatic	ADJ
cjfa-8205	23	5	tellec	tellec	NOUN
cjfa-8205	23	6	machine	machine	NOUN
cjfa-8205	23	7	(	(	PUNCT
cjfa-8205	23	8	atm	atm	NOUN
cjfa-8205	23	9	)	)	PUNCT
cjfa-8205	23	10	withdrawal	withdrawal	NOUN
cjfa-8205	23	11	cash	cash	NOUN
cjfa-8205	23	12	flow	flow	NOUN
cjfa-8205	23	13	(	(	PUNCT
cjfa-8205	23	14	rodrigues	rodrigues	PROPN
cjfa-8205	23	15	,	,	PUNCT
cjfa-8205	23	16	esteves	esteves	PROPN
cjfa-8205	23	17	2010	2010	NUM
cjfa-8205	23	18	)	)	PUNCT
cjfa-8205	23	19	show	show	VERB
cjfa-8205	23	20	that	that	SCONJ
cjfa-8205	23	21	this	this	DET
cjfa-8205	23	22	process	process	NOUN
cjfa-8205	23	23	is	be	AUX
cjfa-8205	23	24	strongly	strongly	ADV
cjfa-8205	23	25	affected	affect	VERB
cjfa-8205	23	26	by	by	ADP
cjfa-8205	23	27	calendar	calendar	NOUN
cjfa-8205	23	28	factors	factor	NOUN
cjfa-8205	23	29	(	(	PUNCT
cjfa-8205	23	30	day	day	NOUN
cjfa-8205	23	31	-	-	PUNCT
cjfa-8205	23	32	of	of	ADP
cjfa-8205	23	33	-	-	PUNCT
cjfa-8205	23	34	the	the	DET
cjfa-8205	23	35	-	-	PUNCT
cjfa-8205	23	36	week	week	NOUN
cjfa-8205	23	37	,	,	PUNCT
cjfa-8205	23	38	week	week	NOUN
cjfa-8205	23	39	-	-	PUNCT
cjfa-8205	23	40	of	of	ADP
cjfa-8205	23	41	-	-	PUNCT
cjfa-8205	23	42	the	the	DET
cjfa-8205	23	43	-	-	PUNCT
cjfa-8205	23	44	month	month	NOUN
cjfa-8205	23	45	,	,	PUNCT
cjfa-8205	23	46	month	month	NOUN
cjfa-8205	23	47	-	-	PUNCT
cjfa-8205	23	48	of	of	ADP
cjfa-8205	23	49	-	-	PUNCT
cjfa-8205	23	50	the	the	DET
cjfa-8205	23	51	-	-	PUNCT
cjfa-8205	23	52	year	year	NOUN
cjfa-8205	23	53	and	and	CCONJ
cjfa-8205	23	54	holidays	holiday	NOUN
cjfa-8205	23	55	)	)	PUNCT
cjfa-8205	23	56	.	.	PUNCT
cjfa-8205	24	1	those	those	DET
cjfa-8205	24	2	effects	effect	NOUN
cjfa-8205	24	3	can	can	AUX
cjfa-8205	24	4	be	be	AUX
cjfa-8205	24	5	used	use	VERB
cjfa-8205	24	6	as	as	ADP
cjfa-8205	24	7	numerical	numerical	ADJ
cjfa-8205	24	8	input	input	NOUN
cjfa-8205	24	9	values	value	NOUN
cjfa-8205	24	10	with	with	ADP
cjfa-8205	24	11	ci	ci	NOUN
cjfa-8205	24	12	models	model	NOUN
cjfa-8205	24	13	.	.	PUNCT
cjfa-8205	25	1	classical	classical	ADJ
cjfa-8205	25	2	neural	neural	ADJ
cjfa-8205	25	3	network	network	NOUN
cjfa-8205	25	4	regression	regression	NOUN
cjfa-8205	25	5	approach	approach	NOUN
cjfa-8205	25	6	using	use	VERB
cjfa-8205	25	7	calendar	calendar	NOUN
cjfa-8205	25	8	effects	effect	NOUN
cjfa-8205	25	9	(	(	PUNCT
cjfa-8205	25	10	working	working	NOUN
cjfa-8205	25	11	day	day	NOUN
cjfa-8205	25	12	,	,	PUNCT
cjfa-8205	25	13	weekday	weekday	NOUN
cjfa-8205	25	14	,	,	PUNCT
cjfa-8205	25	15	holiday	holiday	NOUN
cjfa-8205	25	16	effect	effect	NOUN
cjfa-8205	25	17	,	,	PUNCT
cjfa-8205	25	18	salary	salary	NOUN
cjfa-8205	25	19	day	day	NOUN
cjfa-8205	25	20	effect	effect	NOUN
cjfa-8205	25	21	)	)	PUNCT
cjfa-8205	25	22	as	as	SCONJ
cjfa-8205	25	23	inputs	input	NOUN
cjfa-8205	25	24	were	be	AUX
cjfa-8205	25	25	used	use	VERB
cjfa-8205	25	26	by	by	ADP
cjfa-8205	25	27	kumar	kumar	PROPN
cjfa-8205	25	28	and	and	CCONJ
cjfa-8205	25	29	walia	walia	PROPN
cjfa-8205	25	30	(	(	PUNCT
cjfa-8205	25	31	2006	2006	NUM
cjfa-8205	25	32	)	)	PUNCT
cjfa-8205	25	33	for	for	ADP
cjfa-8205	25	34	cash	cash	NOUN
cjfa-8205	25	35	demand	demand	NOUN
cjfa-8205	25	36	process	process	NOUN
cjfa-8205	25	37	forecasting	forecasting	NOUN
cjfa-8205	25	38	.	.	PUNCT
cjfa-8205	26	1	however	however	ADV
cjfa-8205	26	2	,	,	PUNCT
cjfa-8205	26	3	cash	cash	NOUN
cjfa-8205	26	4	demand	demand	NOUN
cjfa-8205	26	5	varies	vary	VERB
cjfa-8205	26	6	in	in	ADP
cjfa-8205	26	7	time	time	NOUN
cjfa-8205	26	8	and	and	CCONJ
cjfa-8205	26	9	simply	simply	ADV
cjfa-8205	26	10	using	use	VERB
cjfa-8205	26	11	regression	regression	NOUN
cjfa-8205	26	12	inputs	input	NOUN
cjfa-8205	26	13	without	without	ADP
cjfa-8205	26	14	incorporating	incorporate	VERB
cjfa-8205	26	15	recent	recent	ADJ
cjfa-8205	26	16	time	time	NOUN
cjfa-8205	26	17	series	series	PROPN
cjfa-8205	26	18	information	information	NOUN
cjfa-8205	26	19	is	be	AUX
cjfa-8205	26	20	usually	usually	ADV
cjfa-8205	26	21	not	not	PART
cjfa-8205	26	22	enough	enough	ADJ
cjfa-8205	26	23	.	.	PUNCT
cjfa-8205	27	1	simutis	simutis	NOUN
cjfa-8205	27	2	et	et	PROPN
cjfa-8205	27	3	al	al	PROPN
cjfa-8205	27	4	.	.	PROPN
cjfa-8205	28	1	(	(	PUNCT
cjfa-8205	28	2	2007	2007	NUM
cjfa-8205	28	3	)	)	PUNCT
cjfa-8205	28	4	applied	apply	VERB
cjfa-8205	28	5	more	more	ADV
cjfa-8205	28	6	advanced	advanced	ADJ
cjfa-8205	28	7	flexibe	flexibe	NOUN
cjfa-8205	28	8	neural	neural	ADJ
cjfa-8205	28	9	network	network	NOUN
cjfa-8205	28	10	approach	approach	NOUN
cjfa-8205	28	11	by	by	ADP
cjfa-8205	28	12	incorporating	incorporate	VERB
cjfa-8205	28	13	both	both	DET
cjfa-8205	28	14	regression	regression	NOUN
cjfa-8205	28	15	inputs	input	NOUN
cjfa-8205	28	16	(	(	PUNCT
cjfa-8205	28	17	calendar	calendar	NOUN
cjfa-8205	28	18	effects	effect	NOUN
cjfa-8205	28	19	)	)	PUNCT
cjfa-8205	28	20	and	and	CCONJ
cjfa-8205	28	21	time	time	NOUN
cjfa-8205	28	22	series	series	PROPN
cjfa-8205	28	23	inputs	input	NOUN
cjfa-8205	28	24	(	(	PUNCT
cjfa-8205	28	25	such	such	ADJ
cjfa-8205	28	26	as	as	ADP
cjfa-8205	28	27	value	value	NOUN
cjfa-8205	28	28	of	of	ADP
cjfa-8205	28	29	aggregated	aggregate	VERB
cjfa-8205	28	30	cash	cash	NOUN
cjfa-8205	28	31	demand	demand	NOUN
cjfa-8205	28	32	of	of	ADP
cjfa-8205	28	33	previous	previous	ADJ
cjfa-8205	28	34	several	several	ADJ
cjfa-8205	28	35	days	day	NOUN
cjfa-8205	28	36	)	)	PUNCT
cjfa-8205	28	37	.	.	PUNCT
cjfa-8205	29	1	during	during	ADP
cjfa-8205	29	2	last	last	ADJ
cjfa-8205	29	3	decade	decade	NOUN
cjfa-8205	29	4	,	,	PUNCT
cjfa-8205	29	5	support	support	VERB
cjfa-8205	29	6	vector	vector	NOUN
cjfa-8205	29	7	machines	machine	NOUN
cjfa-8205	29	8	(	(	PUNCT
cjfa-8205	29	9	svm	svm	PROPN
cjfa-8205	29	10	)	)	PUNCT
cjfa-8205	29	11	for	for	ADP
cjfa-8205	29	12	various	various	ADJ
cjfa-8205	29	13	computational	computational	ADJ
cjfa-8205	29	14	intelligence	intelligence	NOUN
cjfa-8205	29	15	task	task	NOUN
cjfa-8205	29	16	was	be	AUX
cjfa-8205	29	17	considered	consider	VERB
cjfa-8205	29	18	as	as	ADP
cjfa-8205	29	19	alternative	alternative	ADJ
cjfa-8205	29	20	to	to	ADP
cjfa-8205	29	21	neural	neural	ADJ
cjfa-8205	29	22	networks	network	NOUN
cjfa-8205	29	23	because	because	SCONJ
cjfa-8205	29	24	of	of	ADP
cjfa-8205	29	25	benefits	benefit	NOUN
cjfa-8205	29	26	such	such	ADJ
cjfa-8205	29	27	as	as	ADP
cjfa-8205	29	28	decision	decision	NOUN
cjfa-8205	29	29	stability	stability	NOUN
cjfa-8205	29	30	,	,	PUNCT
cjfa-8205	29	31	less	less	ADV
cjfa-8205	29	32	overfitting	overfitting	ADJ
cjfa-8205	29	33	and	and	CCONJ
cjfa-8205	29	34	better	well	ADJ
cjfa-8205	29	35	generalization	generalization	NOUN
cjfa-8205	29	36	abilities	ability	NOUN
cjfa-8205	29	37	when	when	SCONJ
cjfa-8205	29	38	smaller	small	ADJ
cjfa-8205	29	39	training	training	NOUN
cjfa-8205	29	40	(	(	PUNCT
cjfa-8205	29	41	historical	historical	ADJ
cjfa-8205	29	42	)	)	PUNCT
cjfa-8205	29	43	data	datum	NOUN
cjfa-8205	29	44	is	be	AUX
cjfa-8205	29	45	available	available	ADJ
cjfa-8205	29	46	.	.	PUNCT
cjfa-8205	30	1	however	however	ADV
cjfa-8205	30	2	simutis	simutis	PROPN
cjfa-8205	30	3	,	,	PUNCT
cjfa-8205	30	4	dilijonas	dilijona	NOUN
cjfa-8205	30	5	and	and	CCONJ
cjfa-8205	30	6	bastina	bastina	PROPN
cjfa-8205	30	7	(	(	PUNCT
cjfa-8205	30	8	2008	2008	NUM
cjfa-8205	30	9	)	)	PUNCT
cjfa-8205	30	10	show	show	VERB
cjfa-8205	30	11	that	that	SCONJ
cjfa-8205	30	12	application	application	NOUN
cjfa-8205	30	13	of	of	ADP
cjfa-8205	30	14	support	support	NOUN
cjfa-8205	30	15	vector	vector	NOUN
cjfa-8205	30	16	machines	machine	NOUN
cjfa-8205	30	17	to	to	PART
cjfa-8205	30	18	cash	cash	VERB
cjfa-8205	30	19	demand	demand	NOUN
cjfa-8205	30	20	forecasting	forecasting	NOUN
cjfa-8205	30	21	process	process	NOUN
cjfa-8205	30	22	has	have	VERB
cjfa-8205	30	23	no	no	DET
cjfa-8205	30	24	superiority	superiority	NOUN
cjfa-8205	30	25	to	to	ADP
cjfa-8205	30	26	neural	neural	ADJ
cjfa-8205	30	27	networks	network	NOUN
cjfa-8205	30	28	and	and	CCONJ
cjfa-8205	30	29	is	be	AUX
cjfa-8205	30	30	even	even	ADV
cjfa-8205	30	31	less	less	ADV
cjfa-8205	30	32	accurate	accurate	ADJ
cjfa-8205	30	33	when	when	SCONJ
cjfa-8205	30	34	reasonably	reasonably	ADV
cjfa-8205	30	35	long	long	ADJ
cjfa-8205	30	36	historical	historical	ADJ
cjfa-8205	30	37	data	datum	NOUN
cjfa-8205	30	38	period	period	NOUN
cjfa-8205	30	39	evaluation	evaluation	NOUN
cjfa-8205	30	40	of	of	ADP
cjfa-8205	30	41	atm	atm	ADJ
cjfa-8205	30	42	cash	cash	NOUN
cjfa-8205	30	43	demand	demand	NOUN
cjfa-8205	30	44	process	process	NOUN
cjfa-8205	30	45	factors	factor	NOUN
cjfa-8205	30	46	…	…	PUNCT
cjfa-8205	30	47	213	213	NUM
cjfa-8205	30	48	for	for	ADP
cjfa-8205	30	49	model	model	NOUN
cjfa-8205	30	50	training	training	NOUN
cjfa-8205	30	51	is	be	AUX
cjfa-8205	30	52	available	available	ADJ
cjfa-8205	30	53	.	.	PUNCT
cjfa-8205	31	1	as	as	ADP
cjfa-8205	31	2	an	an	DET
cjfa-8205	31	3	alternative	alternative	NOUN
cjfa-8205	31	4	to	to	ADP
cjfa-8205	31	5	neural	neural	ADJ
cjfa-8205	31	6	network	network	NOUN
cjfa-8205	31	7	approach	approach	NOUN
cjfa-8205	31	8	,	,	PUNCT
cjfa-8205	31	9	interval	interval	NOUN
cjfa-8205	31	10	type-2	type-2	NUM
cjfa-8205	31	11	fuzzy	fuzzy	ADJ
cjfa-8205	31	12	neural	neural	ADJ
cjfa-8205	31	13	network	network	NOUN
cjfa-8205	31	14	(	(	PUNCT
cjfa-8205	31	15	it2fnn	it2fnn	PROPN
cjfa-8205	31	16	)	)	PUNCT
cjfa-8205	31	17	was	be	AUX
cjfa-8205	31	18	applied	apply	VERB
cjfa-8205	31	19	for	for	ADP
cjfa-8205	31	20	cash	cash	NOUN
cjfa-8205	31	21	demand	demand	NOUN
cjfa-8205	31	22	forecasting	forecasting	NOUN
cjfa-8205	31	23	(	(	PUNCT
cjfa-8205	31	24	darwish	darwish	ADJ
cjfa-8205	31	25	2013	2013	NUM
cjfa-8205	31	26	)	)	PUNCT
cjfa-8205	31	27	.	.	PUNCT
cjfa-8205	32	1	this	this	DET
cjfa-8205	32	2	type	type	NOUN
cjfa-8205	32	3	of	of	ADP
cjfa-8205	32	4	model	model	NOUN
cjfa-8205	32	5	has	have	VERB
cjfa-8205	32	6	both	both	CCONJ
cjfa-8205	32	7	on	on	ADP
cjfa-8205	32	8	-	-	PUNCT
cjfa-8205	32	9	line	line	NOUN
cjfa-8205	32	10	structure	structure	NOUN
cjfa-8205	32	11	and	and	CCONJ
cjfa-8205	32	12	parameter	parameter	NOUN
cjfa-8205	32	13	learning	learn	VERB
cjfa-8205	32	14	abilities	ability	NOUN
cjfa-8205	32	15	that	that	PRON
cjfa-8205	32	16	lets	let	VERB
cjfa-8205	32	17	model	model	NOUN
cjfa-8205	32	18	automatically	automatically	ADV
cjfa-8205	32	19	adapt	adapt	VERB
cjfa-8205	32	20	to	to	ADP
cjfa-8205	32	21	different	different	ADJ
cjfa-8205	32	22	cash	cash	NOUN
cjfa-8205	32	23	flow	flow	NOUN
cjfa-8205	32	24	processes	process	NOUN
cjfa-8205	32	25	.	.	PUNCT
cjfa-8205	33	1	ci	ci	NOUN
cjfa-8205	33	2	models	model	NOUN
cjfa-8205	33	3	for	for	ADP
cjfa-8205	33	4	forecasting	forecasting	NOUN
cjfa-8205	33	5	are	be	AUX
cjfa-8205	33	6	considered	consider	VERB
cjfa-8205	33	7	to	to	PART
cjfa-8205	33	8	be	be	AUX
cjfa-8205	33	9	a	a	DET
cjfa-8205	33	10	more	more	ADV
cjfa-8205	33	11	advanced	advanced	ADJ
cjfa-8205	33	12	approach	approach	NOUN
cjfa-8205	33	13	.	.	PUNCT
cjfa-8205	34	1	however	however	ADV
cjfa-8205	34	2	,	,	PUNCT
cjfa-8205	34	3	time	time	NOUN
cjfa-8205	34	4	series	series	NOUN
cjfa-8205	34	5	models	model	NOUN
cjfa-8205	34	6	are	be	AUX
cjfa-8205	34	7	also	also	ADV
cjfa-8205	34	8	used	use	VERB
cjfa-8205	34	9	for	for	ADP
cjfa-8205	34	10	cash	cash	NOUN
cjfa-8205	34	11	flow	flow	NOUN
cjfa-8205	34	12	process	process	NOUN
cjfa-8205	34	13	forecasting	forecasting	NOUN
cjfa-8205	34	14	.	.	PUNCT
cjfa-8205	35	1	when	when	SCONJ
cjfa-8205	35	2	comparing	compare	VERB
cjfa-8205	35	3	classical	classical	ADJ
cjfa-8205	35	4	econometric	econometric	ADJ
cjfa-8205	35	5	time	time	NOUN
cjfa-8205	35	6	series	series	NOUN
cjfa-8205	35	7	models	model	NOUN
cjfa-8205	35	8	researches	research	VERB
cjfa-8205	35	9	show	show	NOUN
cjfa-8205	35	10	(	(	PUNCT
cjfa-8205	35	11	gurgul	gurgul	ADJ
cjfa-8205	35	12	,	,	PUNCT
cjfa-8205	35	13	suder	suder	NOUN
cjfa-8205	35	14	2013	2013	NUM
cjfa-8205	35	15	)	)	PUNCT
cjfa-8205	35	16	that	that	PRON
cjfa-8205	35	17	sarima	sarima	NOUN
cjfa-8205	35	18	(	(	PUNCT
cjfa-8205	35	19	seasonal	seasonal	ADJ
cjfa-8205	35	20	autoregressive	autoregressive	ADJ
cjfa-8205	35	21	integrated	integrated	ADJ
cjfa-8205	35	22	moving	move	VERB
cjfa-8205	35	23	average	average	ADJ
cjfa-8205	35	24	)	)	PUNCT
cjfa-8205	35	25	models	model	NOUN
cjfa-8205	35	26	are	be	AUX
cjfa-8205	35	27	most	most	ADV
cjfa-8205	35	28	accurate	accurate	ADJ
cjfa-8205	35	29	.	.	PUNCT
cjfa-8205	36	1	it	it	PRON
cjfa-8205	36	2	is	be	AUX
cjfa-8205	36	3	shown	show	VERB
cjfa-8205	36	4	(	(	PUNCT
cjfa-8205	36	5	wagner	wagner	NOUN
cjfa-8205	36	6	2010	2010	NUM
cjfa-8205	36	7	)	)	PUNCT
cjfa-8205	36	8	that	that	SCONJ
cjfa-8205	36	9	sari	sari	PROPN
cjfa-8205	36	10	 	 	SPACE
cjfa-8205	36	11	ma	ma	PROPN
cjfa-8205	36	12	model	model	PROPN
cjfa-8205	36	13	even	even	ADV
cjfa-8205	36	14	outperform	outperform	VERB
cjfa-8205	36	15	joint	joint	ADJ
cjfa-8205	36	16	forecasting	forecasting	NOUN
cjfa-8205	36	17	approach	approach	NOUN
cjfa-8205	36	18	using	use	VERB
cjfa-8205	36	19	vector	vector	PROPN
cjfa-8205	36	20	time	time	NOUN
cjfa-8205	36	21	series	series	NOUN
cjfa-8205	36	22	models	model	NOUN
cjfa-8205	36	23	.	.	PUNCT
cjfa-8205	37	1	a	a	DET
cjfa-8205	37	2	comparison	comparison	NOUN
cjfa-8205	37	3	between	between	ADP
cjfa-8205	37	4	time	time	NOUN
cjfa-8205	37	5	series	series	PROPN
cjfa-8205	37	6	probability	probability	NOUN
cjfa-8205	37	7	density	density	NOUN
cjfa-8205	37	8	forecasting	forecasting	NOUN
cjfa-8205	37	9	models	model	NOUN
cjfa-8205	37	10	(	(	PUNCT
cjfa-8205	37	11	such	such	ADJ
cjfa-8205	37	12	as	as	ADP
cjfa-8205	37	13	linear	linear	ADJ
cjfa-8205	37	14	,	,	PUNCT
cjfa-8205	37	15	autoregressive	autoregressive	ADJ
cjfa-8205	37	16	and	and	CCONJ
cjfa-8205	37	17	structural	structural	ADJ
cjfa-8205	37	18	and	and	CCONJ
cjfa-8205	37	19	markov	markov	NOUN
cjfa-8205	37	20	-	-	PUNCT
cjfa-8205	37	21	switching	switch	VERB
cjfa-8205	37	22	time	time	NOUN
cjfa-8205	37	23	series	series	NOUN
cjfa-8205	37	24	models	model	NOUN
cjfa-8205	37	25	)	)	PUNCT
cjfa-8205	37	26	is	be	AUX
cjfa-8205	37	27	made	make	VERB
cjfa-8205	37	28	by	by	ADP
cjfa-8205	37	29	brentnall	brentnall	NOUN
cjfa-8205	37	30	,	,	PUNCT
cjfa-8205	37	31	crowder	crowder	NOUN
cjfa-8205	37	32	and	and	CCONJ
cjfa-8205	37	33	hand	hand	NOUN
cjfa-8205	37	34	(	(	PUNCT
cjfa-8205	37	35	2010b	2010b	NUM
cjfa-8205	37	36	)	)	PUNCT
cjfa-8205	37	37	and	and	CCONJ
cjfa-8205	37	38	results	result	NOUN
cjfa-8205	37	39	show	show	VERB
cjfa-8205	37	40	that	that	SCONJ
cjfa-8205	37	41	markov	markov	NOUN
cjfa-8205	37	42	-	-	PUNCT
cjfa-8205	37	43	switching	switch	VERB
cjfa-8205	37	44	density	density	NOUN
cjfa-8205	37	45	forecasting	forecasting	NOUN
cjfa-8205	37	46	model	model	NOUN
cjfa-8205	37	47	performs	perform	VERB
cjfa-8205	37	48	best	good	ADJ
cjfa-8205	37	49	.	.	PUNCT
cjfa-8205	38	1	deeper	deep	ADJ
cjfa-8205	38	2	investigation	investigation	NOUN
cjfa-8205	38	3	of	of	ADP
cjfa-8205	38	4	cash	cash	NOUN
cjfa-8205	38	5	demand	demand	NOUN
cjfa-8205	38	6	process	process	NOUN
cjfa-8205	38	7	factors	factor	NOUN
cjfa-8205	38	8	are	be	AUX
cjfa-8205	38	9	also	also	ADV
cjfa-8205	38	10	useful	useful	ADJ
cjfa-8205	38	11	for	for	ADP
cjfa-8205	38	12	forecasting	forecasting	NOUN
cjfa-8205	38	13	.	.	PUNCT
cjfa-8205	39	1	random	random	ADJ
cjfa-8205	39	2	-	-	PUNCT
cjfa-8205	39	3	effects	effect	NOUN
cjfa-8205	39	4	models	model	NOUN
cjfa-8205	39	5	(	(	PUNCT
cjfa-8205	39	6	brentnall	brentnall	NOUN
cjfa-8205	39	7	,	,	PUNCT
cjfa-8205	39	8	crowder	crowder	NOUN
cjfa-8205	39	9	&	&	CCONJ
cjfa-8205	39	10	hand	hand	PROPN
cjfa-8205	39	11	2008	2008	NUM
cjfa-8205	39	12	,	,	PUNCT
cjfa-8205	39	13	2010a	2010a	NUM
cjfa-8205	39	14	)	)	PUNCT
cjfa-8205	39	15	are	be	AUX
cjfa-8205	39	16	used	use	VERB
cjfa-8205	39	17	when	when	SCONJ
cjfa-8205	39	18	modelling	modelling	NOUN
cjfa-8205	39	19	of	of	ADP
cjfa-8205	39	20	individual	individual	ADJ
cjfa-8205	39	21	client	client	NOUN
cjfa-8205	39	22	cash	cash	NOUN
cjfa-8205	39	23	withdrawal	withdrawal	NOUN
cjfa-8205	39	24	patterns	pattern	NOUN
cjfa-8205	39	25	is	be	AUX
cjfa-8205	39	26	made	make	VERB
cjfa-8205	39	27	for	for	ADP
cjfa-8205	39	28	atm	atm	NOUN
cjfa-8205	39	29	withdrawal	withdrawal	NOUN
cjfa-8205	39	30	forecasting	forecasting	NOUN
cjfa-8205	39	31	.	.	PUNCT
cjfa-8205	40	1	laukaitis	laukaitis	NOUN
cjfa-8205	40	2	(	(	PUNCT
cjfa-8205	40	3	2008	2008	NUM
cjfa-8205	40	4	)	)	PUNCT
cjfa-8205	40	5	presented	present	VERB
cjfa-8205	40	6	research	research	NOUN
cjfa-8205	40	7	on	on	ADP
cjfa-8205	40	8	cash	cash	NOUN
cjfa-8205	40	9	flow	flow	NOUN
cjfa-8205	40	10	forecasting	forecasting	NOUN
cjfa-8205	40	11	when	when	SCONJ
cjfa-8205	40	12	intraday	intraday	NOUN
cjfa-8205	40	13	cash	cash	NOUN
cjfa-8205	40	14	flow	flow	NOUN
cjfa-8205	40	15	time	time	NOUN
cjfa-8205	40	16	series	series	NOUN
cjfa-8205	40	17	is	be	AUX
cjfa-8205	40	18	treated	treat	VERB
cjfa-8205	40	19	as	as	ADP
cjfa-8205	40	20	random	random	ADJ
cjfa-8205	40	21	continuous	continuous	ADJ
cjfa-8205	40	22	functions	function	NOUN
cjfa-8205	40	23	projected	project	VERB
cjfa-8205	40	24	onto	onto	ADP
cjfa-8205	40	25	low	low	ADJ
cjfa-8205	40	26	dimensional	dimensional	ADJ
cjfa-8205	40	27	subspace	subspace	NOUN
cjfa-8205	40	28	and	and	CCONJ
cjfa-8205	40	29	apply	apply	VERB
cjfa-8205	40	30	functional	functional	ADJ
cjfa-8205	40	31	autoregressive	autoregressive	ADJ
cjfa-8205	40	32	model	model	NOUN
cjfa-8205	40	33	as	as	ADP
cjfa-8205	40	34	predictor	predictor	NOUN
cjfa-8205	40	35	of	of	ADP
cjfa-8205	40	36	cash	cash	NOUN
cjfa-8205	40	37	flow	flow	NOUN
cjfa-8205	40	38	and	and	CCONJ
cjfa-8205	40	39	intensity	intensity	NOUN
cjfa-8205	40	40	of	of	ADP
cjfa-8205	40	41	transactions	transaction	NOUN
cjfa-8205	40	42	.	.	PUNCT
cjfa-8205	41	1	forecasting	forecasting	NOUN
cjfa-8205	41	2	models	model	NOUN
cjfa-8205	41	3	this	this	DET
cjfa-8205	41	4	section	section	NOUN
cjfa-8205	41	5	presents	present	VERB
cjfa-8205	41	6	computational	computational	ADJ
cjfa-8205	41	7	intelligence	intelligence	NOUN
cjfa-8205	41	8	forecasting	forecasting	NOUN
cjfa-8205	41	9	models	model	NOUN
cjfa-8205	41	10	that	that	PRON
cjfa-8205	41	11	are	be	AUX
cjfa-8205	41	12	applied	apply	VERB
cjfa-8205	41	13	for	for	ADP
cjfa-8205	41	14	daily	daily	ADV
cjfa-8205	41	15	-	-	PUNCT
cjfa-8205	41	16	aggregated	aggregate	VERB
cjfa-8205	41	17	atm	atm	NOUN
cjfa-8205	41	18	cash	cash	NOUN
cjfa-8205	41	19	flow	flow	NOUN
cjfa-8205	41	20	forecasting	forecasting	NOUN
cjfa-8205	41	21	.	.	PUNCT
cjfa-8205	42	1	support	support	NOUN
cjfa-8205	42	2	vector	vector	NOUN
cjfa-8205	42	3	regression	regression	NOUN
cjfa-8205	42	4	model	model	NOUN
cjfa-8205	42	5	.	.	PUNCT
cjfa-8205	43	1	support	support	NOUN
cjfa-8205	43	2	vector	vector	NOUN
cjfa-8205	43	3	regression	regression	NOUN
cjfa-8205	43	4	(	(	PUNCT
cjfa-8205	43	5	svr	svr	PROPN
cjfa-8205	43	6	)	)	PUNCT
cjfa-8205	43	7	is	be	AUX
cjfa-8205	43	8	application	application	NOUN
cjfa-8205	43	9	of	of	ADP
cjfa-8205	43	10	support	support	NOUN
cjfa-8205	43	11	vector	vector	NOUN
cjfa-8205	43	12	machines	machine	NOUN
cjfa-8205	43	13	(	(	PUNCT
cjfa-8205	43	14	svm	svm	ADJ
cjfa-8205	43	15	)	)	PUNCT
cjfa-8205	43	16	model	model	NOUN
cjfa-8205	43	17	for	for	ADP
cjfa-8205	43	18	regression	regression	NOUN
cjfa-8205	43	19	problems	problem	NOUN
cjfa-8205	43	20	.	.	PUNCT
cjfa-8205	44	1	svm	svm	PROPN
cjfa-8205	44	2	was	be	AUX
cjfa-8205	44	3	originally	originally	ADV
cjfa-8205	44	4	proposed	propose	VERB
cjfa-8205	44	5	by	by	ADP
cjfa-8205	44	6	cortes	corte	NOUN
cjfa-8205	44	7	and	and	CCONJ
cjfa-8205	44	8	vapnik	vapnik	X
cjfa-8205	44	9	(	(	PUNCT
cjfa-8205	44	10	1995	1995	NUM
cjfa-8205	44	11	)	)	PUNCT
cjfa-8205	44	12	as	as	ADP
cjfa-8205	44	13	a	a	DET
cjfa-8205	44	14	robust	robust	ADJ
cjfa-8205	44	15	linear	linear	NOUN
cjfa-8205	44	16	model	model	NOUN
cjfa-8205	44	17	for	for	ADP
cjfa-8205	44	18	classification	classification	NOUN
cjfa-8205	44	19	problems	problem	NOUN
cjfa-8205	44	20	.	.	PUNCT
cjfa-8205	45	1	the	the	DET
cjfa-8205	45	2	idea	idea	NOUN
cjfa-8205	45	3	behind	behind	ADP
cjfa-8205	45	4	svm	svm	PROPN
cjfa-8205	45	5	is	be	AUX
cjfa-8205	45	6	to	to	PART
cjfa-8205	45	7	map	map	VERB
cjfa-8205	45	8	input	input	NOUN
cjfa-8205	45	9	space	space	NOUN
cjfa-8205	45	10	data	datum	NOUN
cjfa-8205	45	11	vectors	vector	NOUN
cjfa-8205	45	12	to	to	PART
cjfa-8205	45	13	output	output	VERB
cjfa-8205	45	14	space	space	NOUN
cjfa-8205	45	15	via	via	ADP
cjfa-8205	45	16	high	high	ADJ
cjfa-8205	45	17	dimensional	dimensional	ADJ
cjfa-8205	45	18	space	space	NOUN
cjfa-8205	45	19	called	call	VERB
cjfa-8205	45	20	feature	feature	NOUN
cjfa-8205	45	21	space	space	NOUN
cjfa-8205	45	22	.	.	PUNCT
cjfa-8205	46	1	this	this	DET
cjfa-8205	46	2	mapping	mapping	NOUN
cjfa-8205	46	3	is	be	AUX
cjfa-8205	46	4	performed	perform	VERB
cjfa-8205	46	5	using	use	VERB
cjfa-8205	46	6	so	so	ADV
cjfa-8205	46	7	called	call	VERB
cjfa-8205	46	8	kernel	kernel	PROPN
cjfa-8205	46	9	trick	trick	NOUN
cjfa-8205	46	10	.	.	PUNCT
cjfa-8205	47	1	by	by	ADP
cjfa-8205	47	2	doing	do	VERB
cjfa-8205	47	3	so	so	ADV
cjfa-8205	47	4	,	,	PUNCT
cjfa-8205	47	5	linear	linear	ADJ
cjfa-8205	47	6	nature	nature	NOUN
cjfa-8205	47	7	of	of	ADP
cjfa-8205	47	8	svm	svm	ADJ
cjfa-8205	47	9	model	model	NOUN
cjfa-8205	47	10	can	can	AUX
cjfa-8205	47	11	be	be	AUX
cjfa-8205	47	12	applied	apply	VERB
cjfa-8205	47	13	for	for	ADP
cjfa-8205	47	14	nonlinear	nonlinear	ADJ
cjfa-8205	47	15	function	function	NOUN
cjfa-8205	47	16	approximation	approximation	NOUN
cjfa-8205	47	17	.	.	PUNCT
cjfa-8205	48	1	the	the	DET
cjfa-8205	48	2	nonlinear	nonlinear	ADJ
cjfa-8205	48	3	mapping	mapping	NOUN
cjfa-8205	48	4	requires	require	VERB
cjfa-8205	48	5	nonlinear	nonlinear	ADJ
cjfa-8205	48	6	kernel	kernel	PROPN
cjfa-8205	48	7	function	function	PROPN
cjfa-8205	48	8	selection	selection	NOUN
cjfa-8205	48	9	.	.	PUNCT
cjfa-8205	49	1	gaussian	gaussian	ADJ
cjfa-8205	49	2	kernel	kernel	PROPN
cjfa-8205	49	3	functions	function	NOUN
cjfa-8205	49	4	are	be	AUX
cjfa-8205	49	5	usually	usually	ADV
cjfa-8205	49	6	used	use	VERB
cjfa-8205	49	7	because	because	SCONJ
cjfa-8205	49	8	of	of	ADP
cjfa-8205	49	9	few	few	ADJ
cjfa-8205	49	10	parameters	parameter	NOUN
cjfa-8205	49	11	.	.	PUNCT
cjfa-8205	50	1	in	in	ADP
cjfa-8205	50	2	this	this	DET
cjfa-8205	50	3	paper	paper	NOUN
cjfa-8205	50	4	two	two	NUM
cjfa-8205	50	5	types	type	NOUN
cjfa-8205	50	6	of	of	ADP
cjfa-8205	50	7	gediminas	gedimina	NOUN
cjfa-8205	50	8	žylius214	žylius214	PROPN
cjfa-8205	50	9	svr	svr	PROPN
cjfa-8205	50	10	models	model	NOUN
cjfa-8205	50	11	are	be	AUX
cjfa-8205	50	12	applied	apply	VERB
cjfa-8205	50	13	:	:	PUNCT
cjfa-8205	50	14	1	1	NUM
cjfa-8205	50	15	)	)	PUNCT
cjfa-8205	50	16	1	1	NUM
cjfa-8205	50	17	)	)	PUNCT
cjfa-8205	50	18	ν	ν	NOUN
cjfa-8205	50	19	-	-	PUNCT
cjfa-8205	50	20	support	support	NOUN
cjfa-8205	50	21	vector	vector	NOUN
cjfa-8205	50	22	regression	regression	NOUN
cjfa-8205	50	23	(	(	PUNCT
cjfa-8205	50	24	ν	ν	NOUN
cjfa-8205	50	25	-	-	PUNCT
cjfa-8205	50	26	svr	svr	NOUN
cjfa-8205	50	27	)	)	PUNCT
cjfa-8205	50	28	and	and	CCONJ
cjfa-8205	50	29	2	2	NUM
cjfa-8205	50	30	)	)	PUNCT
cjfa-8205	50	31	least	least	ADJ
cjfa-8205	50	32	squares	square	NOUN
cjfa-8205	50	33	support	support	VERB
cjfa-8205	50	34	vector	vector	NOUN
cjfa-8205	50	35	regression	regression	NOUN
cjfa-8205	50	36	(	(	PUNCT
cjfa-8205	50	37	lssvr	lssvr	PROPN
cjfa-8205	50	38	)	)	PUNCT
cjfa-8205	50	39	.	.	PUNCT
cjfa-8205	51	1	■	■	PUNCT
cjfa-8205	51	2	ν	ν	NOUN
cjfa-8205	51	3	-	-	PUNCT
cjfa-8205	51	4	svr	svr	NOUN
cjfa-8205	51	5	.	.	PUNCT
cjfa-8205	52	1	let	let	VERB
cjfa-8205	52	2	input	input	NOUN
cjfa-8205	52	3	data	datum	NOUN
cjfa-8205	52	4	vectors	vector	NOUN
cjfa-8205	52	5	to	to	PART
cjfa-8205	52	6	be	be	AUX
cjfa-8205	52	7	ci	ci	NOUN
cjfa-8205	52	8	models	model	NOUN
cjfa-8205	52	9	for	for	ADP
cjfa-8205	52	10	forecasting	forecasting	NOUN
cjfa-8205	52	11	are	be	AUX
cjfa-8205	52	12	considered	consider	VERB
cjfa-8205	52	13	to	to	PART
cjfa-8205	52	14	be	be	AUX
cjfa-8205	52	15	a	a	DET
cjfa-8205	52	16	more	more	ADV
cjfa-8205	52	17	advanced	advanced	ADJ
cjfa-8205	52	18	approach	approach	NOUN
cjfa-8205	52	19	.	.	PUNCT
cjfa-8205	53	1	however	however	ADV
cjfa-8205	53	2	,	,	PUNCT
cjfa-8205	53	3	time	time	NOUN
cjfa-8205	53	4	series	series	NOUN
cjfa-8205	53	5	models	model	NOUN
cjfa-8205	53	6	are	be	AUX
cjfa-8205	53	7	also	also	ADV
cjfa-8205	53	8	used	use	VERB
cjfa-8205	53	9	for	for	ADP
cjfa-8205	53	10	cash	cash	NOUN
cjfa-8205	53	11	flow	flow	NOUN
cjfa-8205	53	12	process	process	NOUN
cjfa-8205	53	13	forecasting	forecasting	NOUN
cjfa-8205	53	14	.	.	PUNCT
cjfa-8205	54	1	when	when	SCONJ
cjfa-8205	54	2	comparing	compare	VERB
cjfa-8205	54	3	classical	classical	ADJ
cjfa-8205	54	4	econometric	econometric	ADJ
cjfa-8205	54	5	time	time	NOUN
cjfa-8205	54	6	series	series	NOUN
cjfa-8205	54	7	models	model	NOUN
cjfa-8205	54	8	researches	research	VERB
cjfa-8205	54	9	show	show	NOUN
cjfa-8205	54	10	(	(	PUNCT
cjfa-8205	54	11	gurgul	gurgul	ADJ
cjfa-8205	54	12	,	,	PUNCT
cjfa-8205	54	13	suder	suder	NOUN
cjfa-8205	54	14	2013	2013	NUM
cjfa-8205	54	15	)	)	PUNCT
cjfa-8205	54	16	that	that	PRON
cjfa-8205	54	17	sarima	sarima	NOUN
cjfa-8205	54	18	(	(	PUNCT
cjfa-8205	54	19	seasonal	seasonal	ADJ
cjfa-8205	54	20	autoregressive	autoregressive	ADJ
cjfa-8205	54	21	integrated	integrated	ADJ
cjfa-8205	54	22	moving	move	VERB
cjfa-8205	54	23	average	average	ADJ
cjfa-8205	54	24	)	)	PUNCT
cjfa-8205	54	25	models	model	NOUN
cjfa-8205	54	26	are	be	AUX
cjfa-8205	54	27	most	most	ADV
cjfa-8205	54	28	accurate	accurate	ADJ
cjfa-8205	54	29	.	.	PUNCT
cjfa-8205	55	1	it	it	PRON
cjfa-8205	55	2	is	be	AUX
cjfa-8205	55	3	shown	show	VERB
cjfa-8205	55	4	(	(	PUNCT
cjfa-8205	55	5	wagner	wagner	NOUN
cjfa-8205	55	6	2010	2010	NUM
cjfa-8205	55	7	)	)	PUNCT
cjfa-8205	55	8	that	that	PRON
cjfa-8205	55	9	sarima	sarima	NOUN
cjfa-8205	55	10	model	model	NOUN
cjfa-8205	55	11	even	even	ADV
cjfa-8205	55	12	outperform	outperform	VERB
cjfa-8205	55	13	joint	joint	ADJ
cjfa-8205	55	14	forecasting	forecasting	NOUN
cjfa-8205	55	15	approach	approach	NOUN
cjfa-8205	55	16	using	use	VERB
cjfa-8205	55	17	vector	vector	PROPN
cjfa-8205	55	18	time	time	NOUN
cjfa-8205	55	19	series	series	NOUN
cjfa-8205	55	20	models	model	NOUN
cjfa-8205	55	21	.	.	PUNCT
cjfa-8205	56	1	a	a	DET
cjfa-8205	56	2	comparison	comparison	NOUN
cjfa-8205	56	3	between	between	ADP
cjfa-8205	56	4	time	time	NOUN
cjfa-8205	56	5	series	series	PROPN
cjfa-8205	56	6	probability	probability	NOUN
cjfa-8205	56	7	density	density	NOUN
cjfa-8205	56	8	forecasting	forecasting	NOUN
cjfa-8205	56	9	models	model	NOUN
cjfa-8205	56	10	(	(	PUNCT
cjfa-8205	56	11	such	such	ADJ
cjfa-8205	56	12	as	as	ADP
cjfa-8205	56	13	linear	linear	ADJ
cjfa-8205	56	14	,	,	PUNCT
cjfa-8205	56	15	autoregressive	autoregressive	ADJ
cjfa-8205	56	16	and	and	CCONJ
cjfa-8205	56	17	structural	structural	ADJ
cjfa-8205	56	18	and	and	CCONJ
cjfa-8205	56	19	markov	markov	NOUN
cjfa-8205	56	20	-	-	PUNCT
cjfa-8205	56	21	switching	switch	VERB
cjfa-8205	56	22	time	time	NOUN
cjfa-8205	56	23	series	series	NOUN
cjfa-8205	56	24	models	model	NOUN
cjfa-8205	56	25	)	)	PUNCT
cjfa-8205	56	26	is	be	AUX
cjfa-8205	56	27	made	make	VERB
cjfa-8205	56	28	by	by	ADP
cjfa-8205	56	29	brentnall	brentnall	NOUN
cjfa-8205	56	30	,	,	PUNCT
cjfa-8205	56	31	crowder	crowder	NOUN
cjfa-8205	56	32	and	and	CCONJ
cjfa-8205	56	33	hand	hand	NOUN
cjfa-8205	56	34	(	(	PUNCT
cjfa-8205	56	35	2010b	2010b	NUM
cjfa-8205	56	36	)	)	PUNCT
cjfa-8205	56	37	and	and	CCONJ
cjfa-8205	56	38	results	result	NOUN
cjfa-8205	56	39	show	show	VERB
cjfa-8205	56	40	that	that	SCONJ
cjfa-8205	56	41	markovswitching	markovswitche	VERB
cjfa-8205	56	42	density	density	NOUN
cjfa-8205	56	43	forecasting	forecasting	NOUN
cjfa-8205	56	44	model	model	NOUN
cjfa-8205	56	45	performs	perform	VERB
cjfa-8205	56	46	best	good	ADJ
cjfa-8205	56	47	.	.	PUNCT
cjfa-8205	57	1	deeper	deep	ADJ
cjfa-8205	57	2	investigation	investigation	NOUN
cjfa-8205	57	3	of	of	ADP
cjfa-8205	57	4	cash	cash	NOUN
cjfa-8205	57	5	demand	demand	NOUN
cjfa-8205	57	6	process	process	NOUN
cjfa-8205	57	7	factors	factor	NOUN
cjfa-8205	57	8	are	be	AUX
cjfa-8205	57	9	also	also	ADV
cjfa-8205	57	10	useful	useful	ADJ
cjfa-8205	57	11	for	for	ADP
cjfa-8205	57	12	forecasting	forecasting	NOUN
cjfa-8205	57	13	.	.	PUNCT
cjfa-8205	58	1	random	random	ADJ
cjfa-8205	58	2	-	-	PUNCT
cjfa-8205	58	3	effects	effect	NOUN
cjfa-8205	58	4	models	model	NOUN
cjfa-8205	58	5	(	(	PUNCT
cjfa-8205	58	6	brentnall	brentnall	NOUN
cjfa-8205	58	7	,	,	PUNCT
cjfa-8205	58	8	crowder	crowder	NOUN
cjfa-8205	58	9	&	&	CCONJ
cjfa-8205	58	10	hand	hand	PROPN
cjfa-8205	58	11	2008	2008	NUM
cjfa-8205	58	12	,	,	PUNCT
cjfa-8205	58	13	2010a	2010a	NUM
cjfa-8205	58	14	)	)	PUNCT
cjfa-8205	58	15	are	be	AUX
cjfa-8205	58	16	used	use	VERB
cjfa-8205	58	17	when	when	SCONJ
cjfa-8205	58	18	modelling	modelling	NOUN
cjfa-8205	58	19	of	of	ADP
cjfa-8205	58	20	individual	individual	ADJ
cjfa-8205	58	21	client	client	NOUN
cjfa-8205	58	22	cash	cash	NOUN
cjfa-8205	58	23	withdrawal	withdrawal	NOUN
cjfa-8205	58	24	patterns	pattern	NOUN
cjfa-8205	58	25	is	be	AUX
cjfa-8205	58	26	made	make	VERB
cjfa-8205	58	27	for	for	ADP
cjfa-8205	58	28	atm	atm	NOUN
cjfa-8205	58	29	withdrawal	withdrawal	NOUN
cjfa-8205	58	30	forecasting	forecasting	NOUN
cjfa-8205	58	31	.	.	PUNCT
cjfa-8205	59	1	laukaitis	laukaitis	NOUN
cjfa-8205	59	2	(	(	PUNCT
cjfa-8205	59	3	2008	2008	NUM
cjfa-8205	59	4	)	)	PUNCT
cjfa-8205	59	5	presented	present	VERB
cjfa-8205	59	6	research	research	NOUN
cjfa-8205	59	7	on	on	ADP
cjfa-8205	59	8	cash	cash	NOUN
cjfa-8205	59	9	flow	flow	NOUN
cjfa-8205	59	10	forecasting	forecasting	NOUN
cjfa-8205	59	11	when	when	SCONJ
cjfa-8205	59	12	intraday	intraday	NOUN
cjfa-8205	59	13	cash	cash	NOUN
cjfa-8205	59	14	flow	flow	NOUN
cjfa-8205	59	15	time	time	NOUN
cjfa-8205	59	16	series	series	NOUN
cjfa-8205	59	17	is	be	AUX
cjfa-8205	59	18	treated	treat	VERB
cjfa-8205	59	19	as	as	ADP
cjfa-8205	59	20	random	random	ADJ
cjfa-8205	59	21	continuous	continuous	ADJ
cjfa-8205	59	22	functions	function	NOUN
cjfa-8205	59	23	projected	project	VERB
cjfa-8205	59	24	onto	onto	ADP
cjfa-8205	59	25	low	low	ADJ
cjfa-8205	59	26	dimensional	dimensional	ADJ
cjfa-8205	59	27	subspace	subspace	NOUN
cjfa-8205	59	28	and	and	CCONJ
cjfa-8205	59	29	apply	apply	VERB
cjfa-8205	59	30	functional	functional	ADJ
cjfa-8205	59	31	autoregressive	autoregressive	ADJ
cjfa-8205	59	32	model	model	NOUN
cjfa-8205	59	33	as	as	ADP
cjfa-8205	59	34	predictor	predictor	NOUN
cjfa-8205	59	35	of	of	ADP
cjfa-8205	59	36	cash	cash	NOUN
cjfa-8205	59	37	flow	flow	NOUN
cjfa-8205	59	38	and	and	CCONJ
cjfa-8205	59	39	intensity	intensity	NOUN
cjfa-8205	59	40	of	of	ADP
cjfa-8205	59	41	transactions	transaction	NOUN
cjfa-8205	59	42	.	.	PUNCT
cjfa-8205	60	1	forecasting	forecasting	NOUN
cjfa-8205	60	2	models	model	NOUN
cjfa-8205	60	3	this	this	DET
cjfa-8205	60	4	section	section	NOUN
cjfa-8205	60	5	presents	present	VERB
cjfa-8205	60	6	computational	computational	ADJ
cjfa-8205	60	7	intelligence	intelligence	NOUN
cjfa-8205	60	8	forecasting	forecasting	NOUN
cjfa-8205	60	9	models	model	NOUN
cjfa-8205	60	10	that	that	PRON
cjfa-8205	60	11	are	be	AUX
cjfa-8205	60	12	applied	apply	VERB
cjfa-8205	60	13	for	for	ADP
cjfa-8205	60	14	daily	daily	ADV
cjfa-8205	60	15	-	-	PUNCT
cjfa-8205	60	16	aggregated	aggregate	VERB
cjfa-8205	60	17	atm	atm	NOUN
cjfa-8205	60	18	cash	cash	NOUN
cjfa-8205	60	19	flow	flow	NOUN
cjfa-8205	60	20	forecasting	forecasting	NOUN
cjfa-8205	60	21	.	.	PUNCT
cjfa-8205	61	1	support	support	NOUN
cjfa-8205	61	2	vector	vector	NOUN
cjfa-8205	61	3	regression	regression	NOUN
cjfa-8205	61	4	model	model	NOUN
cjfa-8205	61	5	.	.	PUNCT
cjfa-8205	62	1	support	support	NOUN
cjfa-8205	62	2	vector	vector	NOUN
cjfa-8205	62	3	regression	regression	NOUN
cjfa-8205	62	4	(	(	PUNCT
cjfa-8205	62	5	svr	svr	PROPN
cjfa-8205	62	6	)	)	PUNCT
cjfa-8205	62	7	is	be	AUX
cjfa-8205	62	8	application	application	NOUN
cjfa-8205	62	9	of	of	ADP
cjfa-8205	62	10	support	support	NOUN
cjfa-8205	62	11	vector	vector	NOUN
cjfa-8205	62	12	machines	machine	NOUN
cjfa-8205	62	13	(	(	PUNCT
cjfa-8205	62	14	svm	svm	ADJ
cjfa-8205	62	15	)	)	PUNCT
cjfa-8205	62	16	model	model	NOUN
cjfa-8205	62	17	for	for	ADP
cjfa-8205	62	18	regression	regression	NOUN
cjfa-8205	62	19	problems	problem	NOUN
cjfa-8205	62	20	.	.	PUNCT
cjfa-8205	63	1	svm	svm	PROPN
cjfa-8205	63	2	was	be	AUX
cjfa-8205	63	3	originally	originally	ADV
cjfa-8205	63	4	proposed	propose	VERB
cjfa-8205	63	5	by	by	ADP
cjfa-8205	63	6	cortes	corte	NOUN
cjfa-8205	63	7	and	and	CCONJ
cjfa-8205	63	8	vapnik	vapnik	X
cjfa-8205	63	9	(	(	PUNCT
cjfa-8205	63	10	1995	1995	NUM
cjfa-8205	63	11	)	)	PUNCT
cjfa-8205	63	12	as	as	ADP
cjfa-8205	63	13	a	a	DET
cjfa-8205	63	14	robust	robust	ADJ
cjfa-8205	63	15	linear	linear	NOUN
cjfa-8205	63	16	model	model	NOUN
cjfa-8205	63	17	for	for	ADP
cjfa-8205	63	18	classification	classification	NOUN
cjfa-8205	63	19	problems	problem	NOUN
cjfa-8205	63	20	.	.	PUNCT
cjfa-8205	64	1	the	the	DET
cjfa-8205	64	2	idea	idea	NOUN
cjfa-8205	64	3	behind	behind	ADP
cjfa-8205	64	4	svm	svm	PROPN
cjfa-8205	64	5	is	be	AUX
cjfa-8205	64	6	to	to	PART
cjfa-8205	64	7	map	map	VERB
cjfa-8205	64	8	input	input	NOUN
cjfa-8205	64	9	space	space	NOUN
cjfa-8205	64	10	data	datum	NOUN
cjfa-8205	64	11	vectors	vector	NOUN
cjfa-8205	64	12	to	to	PART
cjfa-8205	64	13	output	output	VERB
cjfa-8205	64	14	space	space	NOUN
cjfa-8205	64	15	via	via	ADP
cjfa-8205	64	16	high	high	ADJ
cjfa-8205	64	17	dimensional	dimensional	ADJ
cjfa-8205	64	18	space	space	NOUN
cjfa-8205	64	19	called	call	VERB
cjfa-8205	64	20	feature	feature	NOUN
cjfa-8205	64	21	space	space	NOUN
cjfa-8205	64	22	.	.	PUNCT
cjfa-8205	65	1	this	this	DET
cjfa-8205	65	2	mapping	mapping	NOUN
cjfa-8205	65	3	is	be	AUX
cjfa-8205	65	4	performed	perform	VERB
cjfa-8205	65	5	using	use	VERB
cjfa-8205	65	6	so	so	ADV
cjfa-8205	65	7	called	call	VERB
cjfa-8205	65	8	kernel	kernel	PROPN
cjfa-8205	65	9	trick	trick	NOUN
cjfa-8205	65	10	.	.	PUNCT
cjfa-8205	66	1	by	by	ADP
cjfa-8205	66	2	doing	do	VERB
cjfa-8205	66	3	so	so	ADV
cjfa-8205	66	4	,	,	PUNCT
cjfa-8205	66	5	linear	linear	ADJ
cjfa-8205	66	6	nature	nature	NOUN
cjfa-8205	66	7	of	of	ADP
cjfa-8205	66	8	svm	svm	ADJ
cjfa-8205	66	9	model	model	NOUN
cjfa-8205	66	10	can	can	AUX
cjfa-8205	66	11	be	be	AUX
cjfa-8205	66	12	applied	apply	VERB
cjfa-8205	66	13	for	for	ADP
cjfa-8205	66	14	nonlinear	nonlinear	ADJ
cjfa-8205	66	15	function	function	NOUN
cjfa-8205	66	16	approximation	approximation	NOUN
cjfa-8205	66	17	.	.	PUNCT
cjfa-8205	67	1	the	the	DET
cjfa-8205	67	2	nonlinear	nonlinear	ADJ
cjfa-8205	67	3	mapping	mapping	NOUN
cjfa-8205	67	4	requires	require	VERB
cjfa-8205	67	5	nonlinear	nonlinear	ADJ
cjfa-8205	67	6	kernel	kernel	PROPN
cjfa-8205	67	7	function	function	PROPN
cjfa-8205	67	8	selection	selection	NOUN
cjfa-8205	67	9	.	.	PUNCT
cjfa-8205	68	1	gaussian	gaussian	ADJ
cjfa-8205	68	2	kernel	kernel	PROPN
cjfa-8205	68	3	functions	function	NOUN
cjfa-8205	68	4	are	be	AUX
cjfa-8205	68	5	usually	usually	ADV
cjfa-8205	68	6	used	use	VERB
cjfa-8205	68	7	because	because	SCONJ
cjfa-8205	68	8	of	of	ADP
cjfa-8205	68	9	few	few	ADJ
cjfa-8205	68	10	parameters	parameter	NOUN
cjfa-8205	68	11	.	.	PUNCT
cjfa-8205	69	1	in	in	ADP
cjfa-8205	69	2	this	this	DET
cjfa-8205	69	3	paper	paper	NOUN
cjfa-8205	69	4	two	two	NUM
cjfa-8205	69	5	types	type	NOUN
cjfa-8205	69	6	of	of	ADP
cjfa-8205	69	7	svr	svr	PROPN
cjfa-8205	69	8	models	model	NOUN
cjfa-8205	69	9	are	be	AUX
cjfa-8205	69	10	applied	apply	VERB
cjfa-8205	69	11	:	:	PUNCT
cjfa-8205	69	12	1	1	NUM
cjfa-8205	69	13	)	)	PUNCT
cjfa-8205	69	14	1	1	NUM
cjfa-8205	69	15	)	)	PUNCT
cjfa-8205	69	16	ν	ν	NOUN
cjfa-8205	69	17	-	-	PUNCT
cjfa-8205	69	18	support	support	NOUN
cjfa-8205	69	19	vector	vector	NOUN
cjfa-8205	69	20	regression	regression	NOUN
cjfa-8205	69	21	(	(	PUNCT
cjfa-8205	69	22	ν	ν	NOUN
cjfa-8205	69	23	-	-	PUNCT
cjfa-8205	69	24	svr	svr	NOUN
cjfa-8205	69	25	)	)	PUNCT
cjfa-8205	69	26	and	and	CCONJ
cjfa-8205	69	27	2	2	NUM
cjfa-8205	69	28	)	)	PUNCT
cjfa-8205	69	29	least	least	ADJ
cjfa-8205	69	30	squares	square	NOUN
cjfa-8205	69	31	support	support	VERB
cjfa-8205	69	32	vector	vector	NOUN
cjfa-8205	69	33	regression	regression	NOUN
cjfa-8205	69	34	(	(	PUNCT
cjfa-8205	69	35	lssvr	lssvr	PROPN
cjfa-8205	69	36	)	)	PUNCT
cjfa-8205	69	37	.	.	PUNCT
cjfa-8205	70	1	–	–	PUNCT
cjfa-8205	70	2	ν	ν	X
cjfa-8205	70	3	-	-	PUNCT
cjfa-8205	70	4	svr	svr	NOUN
cjfa-8205	70	5	.	.	PUNCT
cjfa-8205	71	1	let	let	VERB
cjfa-8205	71	2	input	input	NOUN
cjfa-8205	71	3	data	datum	NOUN
cjfa-8205	71	4	vectors	vector	NOUN
cjfa-8205	71	5	to	to	PART
cjfa-8205	71	6	be	be	AUX
cjfa-8205	71	7	xirn	xirn	NOUN
cjfa-8205	71	8	(	(	PUNCT
cjfa-8205	71	9	i	i	NOUN
cjfa-8205	71	10	-	-	PUNCT
cjfa-8205	71	11	th	th	X
cjfa-8205	71	12	observation	observation	NOUN
cjfa-8205	71	13	n	n	CCONJ
cjfa-8205	71	14	-	-	PUNCT
cjfa-8205	71	15	dimensional	dimensional	ADJ
cjfa-8205	71	16	vector	vector	NOUN
cjfa-8205	71	17	)	)	PUNCT
cjfa-8205	71	18	and	and	CCONJ
cjfa-8205	71	19	output	output	NOUN
cjfa-8205	71	20	(	(	PUNCT
cjfa-8205	71	21	cash	cash	NOUN
cjfa-8205	71	22	flow	flow	NOUN
cjfa-8205	71	23	)	)	PUNCT
cjfa-8205	71	24	data	datum	NOUN
cjfa-8205	71	25	to	to	PART
cjfa-8205	71	26	be	be	AUX
cjfa-8205	71	27	yir1	yir1	PROPN
cjfa-8205	71	28	.	.	PUNCT
cjfa-8205	71	29	model	model	NOUN
cjfa-8205	71	30	optimization	optimization	NOUN
cjfa-8205	71	31	problem	problem	NOUN
cjfa-8205	71	32	for	for	ADP
cjfa-8205	71	33	ν	ν	ADJ
cjfa-8205	71	34	-	-	PUNCT
cjfa-8205	71	35	svr	svr	ADJ
cjfa-8205	71	36	algorithm	algorithm	NOUN
cjfa-8205	71	37	is	be	AUX
cjfa-8205	71	38	formulated	formulate	VERB
cjfa-8205	71	39	by	by	ADP
cjfa-8205	71	40	following	follow	VERB
cjfa-8205	71	41	equations	equation	NOUN
cjfa-8205	71	42	(	(	PUNCT
cjfa-8205	71	43	chih	chih	PROPN
cjfa-8205	71	44	-	-	PUNCT
cjfa-8205	71	45	chung	chung	PROPN
cjfa-8205	71	46	&	&	CCONJ
cjfa-8205	71	47	chih	chih	PROPN
cjfa-8205	71	48	-	-	PUNCT
cjfa-8205	71	49	jen	jen	PROPN
cjfa-8205	71	50	2011	2011	NUM
cjfa-8205	71	51	):	):	PUNCT
cjfa-8205	71	52	(	(	PUNCT
cjfa-8205	71	53	i	i	NOUN
cjfa-8205	71	54	-	-	PUNCT
cjfa-8205	71	55	th	th	X
cjfa-8205	71	56	observation	observation	NOUN
cjfa-8205	71	57	n	n	CCONJ
cjfa-8205	71	58	-	-	PUNCT
cjfa-8205	71	59	dimensional	dimensional	ADJ
cjfa-8205	71	60	vector	vector	NOUN
cjfa-8205	71	61	)	)	PUNCT
cjfa-8205	71	62	and	and	CCONJ
cjfa-8205	71	63	output	output	NOUN
cjfa-8205	71	64	(	(	PUNCT
cjfa-8205	71	65	cash	cash	NOUN
cjfa-8205	71	66	flow	flow	NOUN
cjfa-8205	71	67	)	)	PUNCT
cjfa-8205	71	68	data	datum	NOUN
cjfa-8205	71	69	to	to	PART
cjfa-8205	71	70	be	be	AUX
cjfa-8205	71	71	yir1	yir1	PROPN
cjfa-8205	71	72	.	.	PUNCT
cjfa-8205	72	1	model	model	NOUN
cjfa-8205	72	2	optimization	optimization	NOUN
cjfa-8205	72	3	problem	problem	NOUN
cjfa-8205	72	4	for	for	ADP
cjfa-8205	72	5	ν	ν	ADJ
cjfa-8205	72	6	-	-	PUNCT
cjfa-8205	72	7	svr	svr	ADJ
cjfa-8205	72	8	algorithm	algorithm	NOUN
cjfa-8205	72	9	is	be	AUX
cjfa-8205	72	10	formulated	formulate	VERB
cjfa-8205	72	11	by	by	ADP
cjfa-8205	72	12	following	follow	VERB
cjfa-8205	72	13	equations	equation	NOUN
cjfa-8205	72	14	(	(	PUNCT
cjfa-8205	72	15	chih	chih	PROPN
cjfa-8205	72	16	-	-	PUNCT
cjfa-8205	72	17	chung	chung	PROPN
cjfa-8205	72	18	&	&	CCONJ
cjfa-8205	72	19	chih	chih	PROPN
cjfa-8205	72	20	-	-	PUNCT
cjfa-8205	72	21	jen	jen	PROPN
cjfa-8205	72	22	2011	2011	NUM
cjfa-8205	72	23	):	):	PUNCT
cjfa-8205	72	24			PROPN
cjfa-8205	72	25			SYM
cjfa-8205	72	26			NOUN
cjfa-8205	72	27			NOUN
cjfa-8205	72	28			NOUN
cjfa-8205	72	29			NOUN
cjfa-8205	72	30			SYM
cjfa-8205	72	31			NOUN
cjfa-8205	72	32			NUM
cjfa-8205	72	33			NUM
cjfa-8205	72	34			PROPN
cjfa-8205	72	35			NUM
cjfa-8205	72	36			NUM
cjfa-8205	72	37			NUM
cjfa-8205	72	38			ADP
cjfa-8205	72	39			NUM
cjfa-8205	72	40			NUM
cjfa-8205	72	41			VERB
cjfa-8205	72	42			NOUN
cjfa-8205	72	43			PROPN
cjfa-8205	73	1			PROPN
cjfa-8205	74	1			PROPN
cjfa-8205	74	2			INTJ
cjfa-8205	74	3			NUM
cjfa-8205	74	4			ADP
cjfa-8205	75	1			PROPN
cjfa-8205	75	2			PROPN
cjfa-8205	75	3			PRON
cjfa-8205	75	4			NOUN
cjfa-8205	75	5			VERB
cjfa-8205	75	6			PROPN
cjfa-8205	75	7			NOUN
cjfa-8205	75	8			X
cjfa-8205	76	1			NUM
cjfa-8205	76	2	.0	.0	NUM
cjfa-8205	76	3	,	,	PUNCT
cjfa-8205	76	4	0	0	NUM
cjfa-8205	76	5	,	,	PUNCT
cjfa-8205	76	6	,	,	PUNCT
cjfa-8205	76	7	,	,	PUNCT
cjfa-8205	76	8	subject	subject	ADJ
cjfa-8205	76	9	to	to	ADP
cjfa-8205	76	10	1	1	NUM
cjfa-8205	76	11	2	2	NUM
cjfa-8205	76	12	1min	1min	NUM
cjfa-8205	76	13	*	*	PUNCT
cjfa-8205	76	14	*	*	PUNCT
cjfa-8205	76	15	1	1	NUM
cjfa-8205	76	16	*	*	PUNCT
cjfa-8205	76	17	,	,	PUNCT
cjfa-8205	76	18	,	,	PUNCT
cjfa-8205	76	19	,	,	PUNCT
cjfa-8205	76	20			PROPN
cjfa-8205	76	21			PUNCT
cjfa-8205	76	22			NOUN
cjfa-8205	76	23			NOUN
cjfa-8205	76	24			PROPN
cjfa-8205	76	25			PROPN
cjfa-8205	76	26	ii	ii	PROPN
cjfa-8205	76	27	ii	ii	PROPN
cjfa-8205	77	1	t	t	PROPN
cjfa-8205	78	1	i	i	PRON
cjfa-8205	78	2	iii	iii	VERB
cjfa-8205	78	3	t	t	NOUN
cjfa-8205	78	4	l	l	NOUN
cjfa-8205	79	1	i	i	PRON
cjfa-8205	79	2	ii	ii	VERB
cjfa-8205	79	3	t	t	PROPN
cjfa-8205	79	4	bξ	bξ	PROPN
cjfa-8205	79	5	,	,	PUNCT
cjfa-8205	79	6	ξ	ξ	PROPN
cjfa-8205	79	7	by	by	ADP
cjfa-8205	79	8	yb	yb	PROPN
cjfa-8205	79	9	ξ	ξ	PROPN
cjfa-8205	79	10	l	l	NOUN
cjfa-8205	80	1	c	c	X
cjfa-8205	80	2	*	*	PUNCT
cjfa-8205	80	3	xw	xw	PROPN
cjfa-8205	80	4	xw	xw	PROPN
cjfa-8205	80	5	ww	ww	PROPN
cjfa-8205	80	6	w	w	PROPN
cjfa-8205	80	7	where	where	SCONJ
cjfa-8205	80	8			NOUN
cjfa-8205	80	9	ix	ix	PUNCT
cjfa-8205	80	10	is	be	AUX
cjfa-8205	80	11	kernel	kernel	PROPN
cjfa-8205	80	12	function	function	NOUN
cjfa-8205	80	13	(	(	PUNCT
cjfa-8205	80	14	gaussian	gaussian	NOUN
cjfa-8205	80	15	)	)	PUNCT
cjfa-8205	80	16	that	that	PRON
cjfa-8205	80	17	performs	perform	VERB
cjfa-8205	80	18	mapping	mapping	NOUN
cjfa-8205	80	19	of	of	ADP
cjfa-8205	80	20	input	input	NOUN
cjfa-8205	80	21	space	space	NOUN
cjfa-8205	80	22	to	to	ADP
cjfa-8205	80	23	high	high	ADJ
cjfa-8205	80	24	dimensional	dimensional	ADJ
cjfa-8205	80	25	feature	feature	NOUN
cjfa-8205	80	26	space	space	NOUN
cjfa-8205	80	27	(	(	PUNCT
cjfa-8205	80	28	the	the	DET
cjfa-8205	80	29	space	space	NOUN
cjfa-8205	80	30	where	where	SCONJ
cjfa-8205	80	31	linear	linear	ADJ
cjfa-8205	80	32	regression	regression	NOUN
cjfa-8205	80	33	is	be	AUX
cjfa-8205	80	34	performed	perform	VERB
cjfa-8205	80	35	)	)	PUNCT
cjfa-8205	80	36	;	;	PUNCT
cjfa-8205	80	37	w	w	PROPN
cjfa-8205	80	38	is	be	AUX
cjfa-8205	80	39	a	a	DET
cjfa-8205	80	40	parameter	parameter	NOUN
cjfa-8205	80	41	vector	vector	NOUN
cjfa-8205	80	42	of	of	ADP
cjfa-8205	80	43	n	n	CCONJ
cjfa-8205	80	44	-	-	PUNCT
cjfa-8205	80	45	dimensional	dimensional	ADJ
cjfa-8205	80	46	hyperplane	hyperplane	NOUN
cjfa-8205	80	47	;	;	PUNCT
cjfa-8205	80	48	b	b	X
cjfa-8205	80	49	is	be	AUX
cjfa-8205	80	50	hyperplane	hyperplane	PROPN
cjfa-8205	80	51	bias	bias	NOUN
cjfa-8205	80	52	parameter	parameter	NOUN
cjfa-8205	80	53	;	;	PUNCT
cjfa-8205	80	54	ξi	ξi	PROPN
cjfa-8205	80	55	*	*	PUNCT
cjfa-8205	80	56	,	,	PUNCT
cjfa-8205	80	57	ξi	ξi	PROPN
cjfa-8205	80	58	are	be	AUX
cjfa-8205	80	59	upper	upper	ADJ
cjfa-8205	80	60	and	and	CCONJ
cjfa-8205	80	61	lower	low	ADJ
cjfa-8205	80	62	training	training	NOUN
cjfa-8205	80	63	errors	error	NOUN
cjfa-8205	80	64	(	(	PUNCT
cjfa-8205	80	65	slack	slack	NOUN
cjfa-8205	80	66	variables	variable	NOUN
cjfa-8205	80	67	)	)	PUNCT
cjfa-8205	80	68	subject	subject	NOUN
cjfa-8205	80	69	to	to	ADP
cjfa-8205	80	70	ε	ε	PROPN
cjfa-8205	80	71	–	–	PUNCT
cjfa-8205	80	72	insensitive	insensitive	ADJ
cjfa-8205	80	73	tube	tube	NOUN
cjfa-8205	80	74	;	;	PUNCT
cjfa-8205	80	75	c	c	PROPN
cjfa-8205	80	76	is	be	AUX
cjfa-8205	80	77	a	a	DET
cjfa-8205	80	78	cost	cost	NOUN
cjfa-8205	80	79	parameter	parameter	NOUN
cjfa-8205	80	80	,	,	PUNCT
cjfa-8205	80	81	that	that	PRON
cjfa-8205	80	82	controls	control	VERB
cjfa-8205	80	83	the	the	DET
cjfa-8205	80	84	trade	trade	NOUN
cjfa-8205	80	85	-	-	PUNCT
cjfa-8205	80	86	off	off	NOUN
cjfa-8205	80	87	between	between	ADP
cjfa-8205	80	88	allowing	allow	VERB
cjfa-8205	80	89	training	training	NOUN
cjfa-8205	80	90	errors	error	NOUN
cjfa-8205	80	91	and	and	CCONJ
cjfa-8205	80	92	forcing	force	VERB
cjfa-8205	80	93	rigid	rigid	ADJ
cjfa-8205	80	94	margins	margin	NOUN
cjfa-8205	80	95	;	;	PUNCT
cjfa-8205	80	96	ν	ν	NOUN
cjfa-8205	80	97	is	be	AUX
cjfa-8205	80	98	regularization	regularization	NOUN
cjfa-8205	80	99	parameter	parameter	NOUN
cjfa-8205	80	100	that	that	PRON
cjfa-8205	80	101	controls	control	VERB
cjfa-8205	80	102	parameter	parameter	NOUN
cjfa-8205	80	103	number	number	NOUN
cjfa-8205	80	104	of	of	ADP
cjfa-8205	80	105	support	support	NOUN
cjfa-8205	80	106	vectors	vector	NOUN
cjfa-8205	80	107	;	;	PUNCT
cjfa-8205	80	108	l	l	X
cjfa-8205	80	109	–	–	PUNCT
cjfa-8205	80	110	is	be	AUX
cjfa-8205	80	111	number	number	NOUN
cjfa-8205	80	112	of	of	ADP
cjfa-8205	80	113	data	datum	NOUN
cjfa-8205	80	114	points	point	NOUN
cjfa-8205	80	115	(	(	PUNCT
cjfa-8205	80	116	observations	observation	NOUN
cjfa-8205	80	117	)	)	PUNCT
cjfa-8205	80	118	.	.	PUNCT
cjfa-8205	81	1	data	datum	NOUN
cjfa-8205	81	2	points	point	NOUN
cjfa-8205	81	3	that	that	PRON
cjfa-8205	81	4	lie	lie	VERB
cjfa-8205	81	5	on	on	ADP
cjfa-8205	81	6	the	the	DET
cjfa-8205	81	7	boundaries	boundary	NOUN
cjfa-8205	81	8	of	of	ADP
cjfa-8205	81	9	ε	ε	PROPN
cjfa-8205	81	10	–	–	PUNCT
cjfa-8205	81	11	insensitive	insensitive	ADJ
cjfa-8205	81	12	tube	tube	NOUN
cjfa-8205	81	13	are	be	AUX
cjfa-8205	81	14	called	call	VERB
cjfa-8205	81	15	support	support	NOUN
cjfa-8205	81	16	vectors	vector	NOUN
cjfa-8205	81	17	.	.	PUNCT
cjfa-8205	82	1	graphical	graphical	ADJ
cjfa-8205	82	2	illustration	illustration	NOUN
cjfa-8205	82	3	of	of	ADP
cjfa-8205	82	4	ν	ν	PROPN
cjfa-8205	82	5	-	-	PUNCT
cjfa-8205	82	6	svr	svr	ADJ
cjfa-8205	82	7	model	model	NOUN
cjfa-8205	82	8	is	be	AUX
cjfa-8205	82	9	depicted	depict	VERB
cjfa-8205	82	10	in	in	ADP
cjfa-8205	82	11	figure	figure	NOUN
cjfa-8205	82	12	1	1	NUM
cjfa-8205	82	13	figure	figure	NOUN
cjfa-8205	82	14	1	1	NUM
cjfa-8205	82	15	.	.	PUNCT
cjfa-8205	83	1	an	an	DET
cjfa-8205	83	2	illustration	illustration	NOUN
cjfa-8205	83	3	of	of	ADP
cjfa-8205	83	4	ν	ν	PROPN
cjfa-8205	83	5	-	-	PUNCT
cjfa-8205	83	6	svr	svr	ADJ
cjfa-8205	83	7	approximation	approximation	NOUN
cjfa-8205	83	8	principle	principle	NOUN
cjfa-8205	83	9	in	in	ADP
cjfa-8205	83	10	this	this	DET
cjfa-8205	83	11	research	research	NOUN
cjfa-8205	83	12	ν	ν	PROPN
cjfa-8205	83	13	-	-	ADJ
cjfa-8205	83	14	svr	svr	PROPN
cjfa-8205	83	15	code	code	NOUN
cjfa-8205	83	16	is	be	AUX
cjfa-8205	83	17	used	use	VERB
cjfa-8205	83	18	that	that	PRON
cjfa-8205	83	19	is	be	AUX
cjfa-8205	83	20	implemented	implement	VERB
cjfa-8205	83	21	in	in	ADP
cjfa-8205	83	22	libsvm	libsvm	NOUN
cjfa-8205	83	23	library	library	NOUN
cjfa-8205	83	24	(	(	PUNCT
cjfa-8205	83	25	see	see	VERB
cjfa-8205	83	26	chihchung	chihchung	PROPN
cjfa-8205	83	27	&	&	CCONJ
cjfa-8205	83	28	chih	chih	PROPN
cjfa-8205	83	29	-	-	PUNCT
cjfa-8205	83	30	jen	jen	PROPN
cjfa-8205	83	31	2011	2011	NUM
cjfa-8205	83	32	)	)	PUNCT
cjfa-8205	83	33	.	.	PUNCT
cjfa-8205	84	1	–	–	PUNCT
cjfa-8205	84	2	ls	ls	PROPN
cjfa-8205	84	3	-	-	PUNCT
cjfa-8205	84	4	svr	svr	NOUN
cjfa-8205	84	5	.	.	PUNCT
cjfa-8205	85	1	least	least	ADJ
cjfa-8205	85	2	squares	square	NOUN
cjfa-8205	85	3	support	support	VERB
cjfa-8205	85	4	vector	vector	NOUN
cjfa-8205	85	5	regression	regression	NOUN
cjfa-8205	85	6	(	(	PUNCT
cjfa-8205	85	7	ls	ls	PROPN
cjfa-8205	85	8	-	-	PUNCT
cjfa-8205	85	9	svr	svr	NOUN
cjfa-8205	85	10	)	)	PUNCT
cjfa-8205	85	11	model	model	NOUN
cjfa-8205	85	12	is	be	AUX
cjfa-8205	85	13	very	very	ADV
cjfa-8205	85	14	similar	similar	ADJ
cjfa-8205	85	15	to	to	ADP
cjfa-8205	85	16	νsvr	νsvr	ADJ
cjfa-8205	85	17	.	.	PUNCT
cjfa-8205	86	1	optimization	optimization	NOUN
cjfa-8205	86	2	problem	problem	NOUN
cjfa-8205	86	3	is	be	AUX
cjfa-8205	86	4	formulated	formulate	VERB
cjfa-8205	86	5	by	by	ADP
cjfa-8205	86	6	following	follow	VERB
cjfa-8205	86	7	equations	equation	NOUN
cjfa-8205	86	8	(	(	PUNCT
cjfa-8205	86	9	suykens	suyken	NOUN
cjfa-8205	86	10	et	et	PROPN
cjfa-8205	86	11	al	al	PROPN
cjfa-8205	86	12	.	.	PROPN
cjfa-8205	86	13	2002	2002	NUM
cjfa-8205	86	14	):	):	PUNCT
cjfa-8205	86	15			NOUN
cjfa-8205	86	16			PUNCT
cjfa-8205	87	1			PROPN
cjfa-8205	88	1			NUM
cjfa-8205	88	2			ADV
cjfa-8205	88	3			X
cjfa-8205	88	4			PROPN
cjfa-8205	89	1			PROPN
cjfa-8205	89	2			PROPN
cjfa-8205	90	1			PROPN
cjfa-8205	90	2			PROPN
cjfa-8205	90	3			NUM
cjfa-8205	90	4			ADV
cjfa-8205	90	5			ADV
cjfa-8205	90	6			X
cjfa-8205	91	1			NUM
cjfa-8205	91	2	.0	.0	NUM
cjfa-8205	91	3	,	,	PUNCT
cjfa-8205	91	4	subject	subject	ADJ
cjfa-8205	91	5	to	to	ADP
cjfa-8205	91	6	22	22	NUM
cjfa-8205	91	7	1min	1min	NUM
cjfa-8205	91	8	1	1	NUM
cjfa-8205	91	9	2	2	NUM
cjfa-8205	91	10	,	,	PUNCT
cjfa-8205	91	11	,	,	PUNCT
cjfa-8205	91	12			NUM
cjfa-8205	91	13			NOUN
cjfa-8205	91	14			NUM
cjfa-8205	91	15	iii	iii	NUM
cjfa-8205	91	16	t	t	NOUN
cjfa-8205	91	17	l	l	NOUN
cjfa-8205	92	1	i	i	PRON
cjfa-8205	92	2	i	i	PRON
cjfa-8205	93	1	t	t	PROPN
cjfa-8205	93	2	eb	eb	PROPN
cjfa-8205	93	3	yeb	yeb	PROPN
cjfa-8205	93	4	e	e	PROPN
cjfa-8205	93	5	xw	xw	PROPN
cjfa-8205	93	6	ww	ww	PROPN
cjfa-8205	93	7	w	w	PROPN
cjfa-8205	93	8	where	where	SCONJ
cjfa-8205	93	9	ei	ei	NOUN
cjfa-8205	93	10	are	be	AUX
cjfa-8205	93	11	error	error	NOUN
cjfa-8205	93	12	variables	variable	NOUN
cjfa-8205	93	13	and	and	CCONJ
cjfa-8205	93	14	γ	γ	X
cjfa-8205	93	15	is	be	AUX
cjfa-8205	93	16	regularization	regularization	NOUN
cjfa-8205	93	17	constant	constant	ADJ
cjfa-8205	93	18	.	.	PUNCT
cjfa-8205	94	1	where	where	SCONJ
cjfa-8205	94	2			NOUN
cjfa-8205	94	3			SYM
cjfa-8205	94	4			NOUN
cjfa-8205	94	5			NOUN
cjfa-8205	94	6			NOUN
cjfa-8205	94	7			NOUN
cjfa-8205	94	8			SYM
cjfa-8205	94	9			NOUN
cjfa-8205	94	10			NUM
cjfa-8205	94	11			NUM
cjfa-8205	94	12			PROPN
cjfa-8205	94	13			NUM
cjfa-8205	94	14			NUM
cjfa-8205	94	15			NUM
cjfa-8205	94	16			ADP
cjfa-8205	94	17			NUM
cjfa-8205	94	18			NUM
cjfa-8205	94	19			VERB
cjfa-8205	94	20			NOUN
cjfa-8205	94	21			PROPN
cjfa-8205	95	1			PROPN
cjfa-8205	96	1			PROPN
cjfa-8205	96	2			INTJ
cjfa-8205	96	3			NUM
cjfa-8205	96	4			ADP
cjfa-8205	97	1			PROPN
cjfa-8205	97	2			PROPN
cjfa-8205	97	3			PRON
cjfa-8205	97	4			NOUN
cjfa-8205	97	5			VERB
cjfa-8205	97	6			PROPN
cjfa-8205	97	7			NOUN
cjfa-8205	97	8			X
cjfa-8205	98	1			NUM
cjfa-8205	98	2	.0	.0	NUM
cjfa-8205	98	3	,	,	PUNCT
cjfa-8205	98	4	0	0	NUM
cjfa-8205	98	5	,	,	PUNCT
cjfa-8205	98	6	,	,	PUNCT
cjfa-8205	98	7	,	,	PUNCT
cjfa-8205	98	8	subject	subject	ADJ
cjfa-8205	98	9	to	to	ADP
cjfa-8205	98	10	1	1	NUM
cjfa-8205	98	11	2	2	NUM
cjfa-8205	98	12	1min	1min	NUM
cjfa-8205	98	13	*	*	PUNCT
cjfa-8205	98	14	*	*	PUNCT
cjfa-8205	98	15	1	1	NUM
cjfa-8205	98	16	*	*	PUNCT
cjfa-8205	98	17	,	,	PUNCT
cjfa-8205	98	18	,	,	PUNCT
cjfa-8205	98	19	,	,	PUNCT
cjfa-8205	98	20			PROPN
cjfa-8205	98	21			PUNCT
cjfa-8205	98	22			NOUN
cjfa-8205	98	23			NOUN
cjfa-8205	98	24			PROPN
cjfa-8205	98	25			PROPN
cjfa-8205	98	26	ii	ii	PROPN
cjfa-8205	98	27	ii	ii	PROPN
cjfa-8205	99	1	t	t	PROPN
cjfa-8205	100	1	i	i	PRON
cjfa-8205	100	2	iii	iii	VERB
cjfa-8205	100	3	t	t	NOUN
cjfa-8205	100	4	l	l	NOUN
cjfa-8205	101	1	i	i	PRON
cjfa-8205	101	2	ii	ii	VERB
cjfa-8205	101	3	t	t	PROPN
cjfa-8205	101	4	bξ	bξ	PROPN
cjfa-8205	101	5	,	,	PUNCT
cjfa-8205	101	6	ξ	ξ	PROPN
cjfa-8205	101	7	by	by	ADP
cjfa-8205	101	8	yb	yb	PROPN
cjfa-8205	101	9	ξ	ξ	PROPN
cjfa-8205	101	10	l	l	NOUN
cjfa-8205	102	1	c	c	X
cjfa-8205	102	2	*	*	PUNCT
cjfa-8205	102	3	xw	xw	PROPN
cjfa-8205	102	4	xw	xw	PROPN
cjfa-8205	102	5	ww	ww	PROPN
cjfa-8205	102	6	w	w	PROPN
cjfa-8205	102	7	where	where	SCONJ
cjfa-8205	102	8			NOUN
cjfa-8205	102	9	ix	ix	PUNCT
cjfa-8205	102	10	is	be	AUX
cjfa-8205	102	11	kernel	kernel	PROPN
cjfa-8205	102	12	function	function	NOUN
cjfa-8205	102	13	(	(	PUNCT
cjfa-8205	102	14	gaussian	gaussian	NOUN
cjfa-8205	102	15	)	)	PUNCT
cjfa-8205	102	16	that	that	PRON
cjfa-8205	102	17	performs	perform	VERB
cjfa-8205	102	18	mapping	mapping	NOUN
cjfa-8205	102	19	of	of	ADP
cjfa-8205	102	20	input	input	NOUN
cjfa-8205	102	21	space	space	NOUN
cjfa-8205	102	22	to	to	ADP
cjfa-8205	102	23	high	high	ADJ
cjfa-8205	102	24	dimensional	dimensional	ADJ
cjfa-8205	102	25	feature	feature	NOUN
cjfa-8205	102	26	space	space	NOUN
cjfa-8205	102	27	(	(	PUNCT
cjfa-8205	102	28	the	the	DET
cjfa-8205	102	29	space	space	NOUN
cjfa-8205	102	30	where	where	SCONJ
cjfa-8205	102	31	linear	linear	ADJ
cjfa-8205	102	32	regression	regression	NOUN
cjfa-8205	102	33	is	be	AUX
cjfa-8205	102	34	performed	perform	VERB
cjfa-8205	102	35	)	)	PUNCT
cjfa-8205	102	36	;	;	PUNCT
cjfa-8205	102	37	w	w	PROPN
cjfa-8205	102	38	is	be	AUX
cjfa-8205	102	39	a	a	DET
cjfa-8205	102	40	parameter	parameter	NOUN
cjfa-8205	102	41	vector	vector	NOUN
cjfa-8205	102	42	of	of	ADP
cjfa-8205	102	43	n	n	CCONJ
cjfa-8205	102	44	-	-	PUNCT
cjfa-8205	102	45	dimensional	dimensional	ADJ
cjfa-8205	102	46	hyperplane	hyperplane	NOUN
cjfa-8205	102	47	;	;	PUNCT
cjfa-8205	102	48	b	b	X
cjfa-8205	102	49	is	be	AUX
cjfa-8205	102	50	hyperplane	hyperplane	PROPN
cjfa-8205	102	51	bias	bias	NOUN
cjfa-8205	102	52	parameter	parameter	NOUN
cjfa-8205	102	53	;	;	PUNCT
cjfa-8205	102	54	ξi	ξi	PROPN
cjfa-8205	102	55	*	*	PUNCT
cjfa-8205	102	56	,	,	PUNCT
cjfa-8205	102	57	ξi	ξi	PROPN
cjfa-8205	102	58	are	be	AUX
cjfa-8205	102	59	upper	upper	ADJ
cjfa-8205	102	60	and	and	CCONJ
cjfa-8205	102	61	lower	low	ADJ
cjfa-8205	102	62	training	training	NOUN
cjfa-8205	102	63	errors	error	NOUN
cjfa-8205	102	64	(	(	PUNCT
cjfa-8205	102	65	slack	slack	NOUN
cjfa-8205	102	66	variables	variable	NOUN
cjfa-8205	102	67	)	)	PUNCT
cjfa-8205	102	68	subject	subject	NOUN
cjfa-8205	102	69	to	to	ADP
cjfa-8205	102	70	ε	ε	PROPN
cjfa-8205	102	71	–	–	PUNCT
cjfa-8205	102	72	insensitive	insensitive	ADJ
cjfa-8205	102	73	tube	tube	NOUN
cjfa-8205	102	74	;	;	PUNCT
cjfa-8205	102	75	c	c	PROPN
cjfa-8205	102	76	is	be	AUX
cjfa-8205	102	77	a	a	DET
cjfa-8205	102	78	cost	cost	NOUN
cjfa-8205	102	79	parameter	parameter	NOUN
cjfa-8205	102	80	,	,	PUNCT
cjfa-8205	102	81	that	that	PRON
cjfa-8205	102	82	controls	control	VERB
cjfa-8205	102	83	the	the	DET
cjfa-8205	102	84	trade	trade	NOUN
cjfa-8205	102	85	-	-	PUNCT
cjfa-8205	102	86	off	off	NOUN
cjfa-8205	102	87	between	between	ADP
cjfa-8205	102	88	allowing	allow	VERB
cjfa-8205	102	89	training	training	NOUN
cjfa-8205	102	90	errors	error	NOUN
cjfa-8205	102	91	and	and	CCONJ
cjfa-8205	102	92	forcing	force	VERB
cjfa-8205	102	93	rigid	rigid	ADJ
cjfa-8205	102	94	margins	margin	NOUN
cjfa-8205	102	95	;	;	PUNCT
cjfa-8205	102	96	ν	ν	NOUN
cjfa-8205	102	97	is	be	AUX
cjfa-8205	102	98	regularization	regularization	NOUN
cjfa-8205	102	99	parameter	parameter	NOUN
cjfa-8205	102	100	that	that	PRON
cjfa-8205	102	101	controls	control	VERB
cjfa-8205	102	102	parameter	parameter	NOUN
cjfa-8205	102	103	number	number	NOUN
cjfa-8205	102	104	of	of	ADP
cjfa-8205	102	105	support	support	NOUN
cjfa-8205	102	106	vectors	vector	NOUN
cjfa-8205	102	107	;	;	PUNCT
cjfa-8205	102	108	l	l	X
cjfa-8205	102	109	–	–	PUNCT
cjfa-8205	102	110	is	be	AUX
cjfa-8205	102	111	number	number	NOUN
cjfa-8205	102	112	of	of	ADP
cjfa-8205	102	113	data	datum	NOUN
cjfa-8205	102	114	points	point	NOUN
cjfa-8205	102	115	(	(	PUNCT
cjfa-8205	102	116	observations	observation	NOUN
cjfa-8205	102	117	)	)	PUNCT
cjfa-8205	102	118	.	.	PUNCT
cjfa-8205	103	1	data	datum	NOUN
cjfa-8205	103	2	points	point	NOUN
cjfa-8205	103	3	that	that	PRON
cjfa-8205	103	4	lie	lie	VERB
cjfa-8205	103	5	on	on	ADP
cjfa-8205	103	6	the	the	DET
cjfa-8205	103	7	boundaries	boundary	NOUN
cjfa-8205	103	8	of	of	ADP
cjfa-8205	103	9	ε	ε	PROPN
cjfa-8205	103	10	–	–	PUNCT
cjfa-8205	103	11	insensitive	insensitive	ADJ
cjfa-8205	103	12	tube	tube	NOUN
cjfa-8205	103	13	are	be	AUX
cjfa-8205	103	14	called	call	VERB
cjfa-8205	103	15	support	support	NOUN
cjfa-8205	103	16	vectors	vector	NOUN
cjfa-8205	103	17	.	.	PUNCT
cjfa-8205	104	1	graphical	graphical	ADJ
cjfa-8205	104	2	illustration	illustration	NOUN
cjfa-8205	104	3	of	of	ADP
cjfa-8205	104	4	ν	ν	PROPN
cjfa-8205	104	5	-	-	PUNCT
cjfa-8205	104	6	svr	svr	ADJ
cjfa-8205	104	7	model	model	NOUN
cjfa-8205	104	8	is	be	AUX
cjfa-8205	104	9	depicted	depict	VERB
cjfa-8205	104	10	in	in	ADP
cjfa-8205	104	11	figure	figure	NOUN
cjfa-8205	104	12	1	1	NUM
cjfa-8205	104	13	figure	figure	NOUN
cjfa-8205	104	14	1	1	NUM
cjfa-8205	104	15	.	.	PUNCT
cjfa-8205	105	1	an	an	DET
cjfa-8205	105	2	illustration	illustration	NOUN
cjfa-8205	105	3	of	of	ADP
cjfa-8205	105	4	ν	ν	PROPN
cjfa-8205	105	5	-	-	PUNCT
cjfa-8205	105	6	svr	svr	ADJ
cjfa-8205	105	7	approximation	approximation	NOUN
cjfa-8205	105	8	principle	principle	NOUN
cjfa-8205	105	9	in	in	ADP
cjfa-8205	105	10	this	this	DET
cjfa-8205	105	11	research	research	NOUN
cjfa-8205	105	12	ν	ν	PROPN
cjfa-8205	105	13	-	-	ADJ
cjfa-8205	105	14	svr	svr	PROPN
cjfa-8205	105	15	code	code	NOUN
cjfa-8205	105	16	is	be	AUX
cjfa-8205	105	17	used	use	VERB
cjfa-8205	105	18	that	that	PRON
cjfa-8205	105	19	is	be	AUX
cjfa-8205	105	20	implemented	implement	VERB
cjfa-8205	105	21	in	in	ADP
cjfa-8205	105	22	libsvm	libsvm	NOUN
cjfa-8205	105	23	library	library	NOUN
cjfa-8205	105	24	(	(	PUNCT
cjfa-8205	105	25	see	see	VERB
cjfa-8205	105	26	chihchung	chihchung	PROPN
cjfa-8205	105	27	&	&	CCONJ
cjfa-8205	105	28	chih	chih	PROPN
cjfa-8205	105	29	-	-	PUNCT
cjfa-8205	105	30	jen	jen	PROPN
cjfa-8205	105	31	2011	2011	NUM
cjfa-8205	105	32	)	)	PUNCT
cjfa-8205	105	33	.	.	PUNCT
cjfa-8205	106	1	–	–	PUNCT
cjfa-8205	106	2	ls	ls	PROPN
cjfa-8205	106	3	-	-	PUNCT
cjfa-8205	106	4	svr	svr	NOUN
cjfa-8205	106	5	.	.	PUNCT
cjfa-8205	107	1	least	least	ADJ
cjfa-8205	107	2	squares	square	NOUN
cjfa-8205	107	3	support	support	VERB
cjfa-8205	107	4	vector	vector	NOUN
cjfa-8205	107	5	regression	regression	NOUN
cjfa-8205	107	6	(	(	PUNCT
cjfa-8205	107	7	ls	ls	PROPN
cjfa-8205	107	8	-	-	PUNCT
cjfa-8205	107	9	svr	svr	NOUN
cjfa-8205	107	10	)	)	PUNCT
cjfa-8205	107	11	model	model	NOUN
cjfa-8205	107	12	is	be	AUX
cjfa-8205	107	13	very	very	ADV
cjfa-8205	107	14	similar	similar	ADJ
cjfa-8205	107	15	to	to	ADP
cjfa-8205	107	16	νsvr	νsvr	ADJ
cjfa-8205	107	17	.	.	PUNCT
cjfa-8205	108	1	optimization	optimization	NOUN
cjfa-8205	108	2	problem	problem	NOUN
cjfa-8205	108	3	is	be	AUX
cjfa-8205	108	4	formulated	formulate	VERB
cjfa-8205	108	5	by	by	ADP
cjfa-8205	108	6	following	follow	VERB
cjfa-8205	108	7	equations	equation	NOUN
cjfa-8205	108	8	(	(	PUNCT
cjfa-8205	108	9	suykens	suyken	NOUN
cjfa-8205	108	10	et	et	PROPN
cjfa-8205	108	11	al	al	PROPN
cjfa-8205	108	12	.	.	PROPN
cjfa-8205	108	13	2002	2002	NUM
cjfa-8205	108	14	):	):	PUNCT
cjfa-8205	108	15			NOUN
cjfa-8205	108	16			PUNCT
cjfa-8205	109	1			PROPN
cjfa-8205	110	1			NUM
cjfa-8205	110	2			ADV
cjfa-8205	110	3			X
cjfa-8205	110	4			PROPN
cjfa-8205	111	1			PROPN
cjfa-8205	111	2			PROPN
cjfa-8205	112	1			PROPN
cjfa-8205	112	2			PROPN
cjfa-8205	112	3			NUM
cjfa-8205	112	4			ADV
cjfa-8205	112	5			ADV
cjfa-8205	112	6			X
cjfa-8205	113	1			NUM
cjfa-8205	113	2	.0	.0	NUM
cjfa-8205	113	3	,	,	PUNCT
cjfa-8205	113	4	subject	subject	ADJ
cjfa-8205	113	5	to	to	ADP
cjfa-8205	113	6	22	22	NUM
cjfa-8205	113	7	1min	1min	NUM
cjfa-8205	113	8	1	1	NUM
cjfa-8205	113	9	2	2	NUM
cjfa-8205	113	10	,	,	PUNCT
cjfa-8205	113	11	,	,	PUNCT
cjfa-8205	113	12			NUM
cjfa-8205	113	13			NOUN
cjfa-8205	113	14			NUM
cjfa-8205	113	15	iii	iii	NUM
cjfa-8205	113	16	t	t	NOUN
cjfa-8205	113	17	l	l	NOUN
cjfa-8205	114	1	i	i	PRON
cjfa-8205	114	2	i	i	PRON
cjfa-8205	115	1	t	t	PROPN
cjfa-8205	115	2	eb	eb	PROPN
cjfa-8205	115	3	yeb	yeb	PROPN
cjfa-8205	115	4	e	e	PROPN
cjfa-8205	115	5	xw	xw	PROPN
cjfa-8205	115	6	ww	ww	PROPN
cjfa-8205	115	7	w	w	PROPN
cjfa-8205	115	8	where	where	SCONJ
cjfa-8205	115	9	ei	ei	NOUN
cjfa-8205	115	10	are	be	AUX
cjfa-8205	115	11	error	error	NOUN
cjfa-8205	115	12	variables	variable	NOUN
cjfa-8205	115	13	and	and	CCONJ
cjfa-8205	115	14	γ	γ	X
cjfa-8205	115	15	is	be	AUX
cjfa-8205	115	16	regularization	regularization	NOUN
cjfa-8205	115	17	constant	constant	ADJ
cjfa-8205	115	18	.	.	PUNCT
cjfa-8205	116	1	is	be	AUX
cjfa-8205	116	2	kernel	kernel	PROPN
cjfa-8205	116	3	function	function	PROPN
cjfa-8205	116	4	(	(	PUNCT
cjfa-8205	116	5	gaussian	gaussian	NOUN
cjfa-8205	116	6	)	)	PUNCT
cjfa-8205	116	7	that	that	PRON
cjfa-8205	116	8	performs	perform	VERB
cjfa-8205	116	9	mapping	mapping	NOUN
cjfa-8205	116	10	of	of	ADP
cjfa-8205	116	11	input	input	NOUN
cjfa-8205	116	12	space	space	NOUN
cjfa-8205	116	13	to	to	ADP
cjfa-8205	116	14	high	high	ADJ
cjfa-8205	116	15	dimensional	dimensional	ADJ
cjfa-8205	116	16	feature	feature	NOUN
cjfa-8205	116	17	space	space	NOUN
cjfa-8205	116	18	(	(	PUNCT
cjfa-8205	116	19	the	the	DET
cjfa-8205	116	20	space	space	NOUN
cjfa-8205	116	21	where	where	SCONJ
cjfa-8205	116	22	linear	linear	ADJ
cjfa-8205	116	23	regression	regression	NOUN
cjfa-8205	116	24	is	be	AUX
cjfa-8205	116	25	performed	perform	VERB
cjfa-8205	116	26	)	)	PUNCT
cjfa-8205	116	27	;	;	PUNCT
cjfa-8205	116	28	w	w	PROPN
cjfa-8205	116	29	is	be	AUX
cjfa-8205	116	30	a	a	DET
cjfa-8205	116	31	parameter	parameter	NOUN
cjfa-8205	116	32	vector	vector	NOUN
cjfa-8205	116	33	of	of	ADP
cjfa-8205	116	34	n	n	CCONJ
cjfa-8205	116	35	-	-	PUNCT
cjfa-8205	116	36	dimensional	dimensional	ADJ
cjfa-8205	116	37	hyperplane	hyperplane	NOUN
cjfa-8205	116	38	;	;	PUNCT
cjfa-8205	116	39	b	b	X
cjfa-8205	116	40	is	be	AUX
cjfa-8205	116	41	hyperplane	hyperplane	PROPN
cjfa-8205	116	42	bias	bias	NOUN
cjfa-8205	116	43	parameter	parameter	NOUN
cjfa-8205	116	44	;	;	PUNCT
cjfa-8205	116	45	ξi	ξi	PROPN
cjfa-8205	116	46	*	*	PUNCT
cjfa-8205	116	47	,	,	PUNCT
cjfa-8205	116	48	ξi	ξi	PROPN
cjfa-8205	116	49	are	be	AUX
cjfa-8205	116	50	upper	upper	ADJ
cjfa-8205	116	51	and	and	CCONJ
cjfa-8205	116	52	lower	low	ADJ
cjfa-8205	116	53	training	training	NOUN
cjfa-8205	116	54	errors	error	NOUN
cjfa-8205	116	55	(	(	PUNCT
cjfa-8205	116	56	slack	slack	NOUN
cjfa-8205	116	57	variables	variable	NOUN
cjfa-8205	116	58	)	)	PUNCT
cjfa-8205	116	59	subject	subject	NOUN
cjfa-8205	116	60	to	to	ADP
cjfa-8205	116	61	ε	ε	PROPN
cjfa-8205	116	62	–	–	PUNCT
cjfa-8205	116	63	insensitive	insensitive	ADJ
cjfa-8205	116	64	tube	tube	NOUN
cjfa-8205	116	65	;	;	PUNCT
cjfa-8205	116	66	c	c	PROPN
cjfa-8205	116	67	is	be	AUX
cjfa-8205	116	68	a	a	DET
cjfa-8205	116	69	cost	cost	NOUN
cjfa-8205	116	70	parameter	parameter	NOUN
cjfa-8205	116	71	,	,	PUNCT
cjfa-8205	116	72	that	that	PRON
cjfa-8205	116	73	controls	control	VERB
cjfa-8205	116	74	the	the	DET
cjfa-8205	116	75	trade	trade	NOUN
cjfa-8205	116	76	-	-	PUNCT
cjfa-8205	116	77	off	off	NOUN
cjfa-8205	116	78	between	between	ADP
cjfa-8205	116	79	allowing	allow	VERB
cjfa-8205	116	80	training	training	NOUN
cjfa-8205	116	81	errors	error	NOUN
cjfa-8205	116	82	and	and	CCONJ
cjfa-8205	116	83	forcing	force	VERB
cjfa-8205	116	84	rigid	rigid	ADJ
cjfa-8205	116	85	margins	margin	NOUN
cjfa-8205	116	86	;	;	PUNCT
cjfa-8205	116	87	ν	ν	NOUN
cjfa-8205	116	88	is	be	AUX
cjfa-8205	116	89	regularization	regularization	NOUN
cjfa-8205	116	90	parameter	parameter	NOUN
cjfa-8205	116	91	that	that	PRON
cjfa-8205	116	92	controls	control	VERB
cjfa-8205	116	93	parameter	parameter	NOUN
cjfa-8205	116	94	number	number	NOUN
cjfa-8205	116	95	of	of	ADP
cjfa-8205	116	96	support	support	NOUN
cjfa-8205	116	97	vectors	vector	NOUN
cjfa-8205	116	98	;	;	PUNCT
cjfa-8205	116	99	l	l	X
cjfa-8205	116	100	–	–	PUNCT
cjfa-8205	116	101	is	be	AUX
cjfa-8205	116	102	number	number	NOUN
cjfa-8205	116	103	of	of	ADP
cjfa-8205	116	104	data	datum	NOUN
cjfa-8205	116	105	points	point	NOUN
cjfa-8205	116	106	(	(	PUNCT
cjfa-8205	116	107	observations	observation	NOUN
cjfa-8205	116	108	)	)	PUNCT
cjfa-8205	116	109	.	.	PUNCT
cjfa-8205	117	1	data	datum	NOUN
cjfa-8205	117	2	points	point	NOUN
cjfa-8205	117	3	that	that	PRON
cjfa-8205	117	4	lie	lie	VERB
cjfa-8205	117	5	on	on	ADP
cjfa-8205	117	6	the	the	DET
cjfa-8205	117	7	boundaries	boundary	NOUN
cjfa-8205	117	8	of	of	ADP
cjfa-8205	117	9	ε	ε	PROPN
cjfa-8205	117	10	–	–	PUNCT
cjfa-8205	117	11	insensitive	insensitive	ADJ
cjfa-8205	117	12	tube	tube	NOUN
cjfa-8205	117	13	are	be	AUX
cjfa-8205	117	14	called	call	VERB
cjfa-8205	117	15	support	support	NOUN
cjfa-8205	117	16	vectors	vector	NOUN
cjfa-8205	117	17	.	.	PUNCT
cjfa-8205	118	1	graphical	graphical	ADJ
cjfa-8205	118	2	illustration	illustration	NOUN
cjfa-8205	118	3	of	of	ADP
cjfa-8205	118	4	ν	ν	PROPN
cjfa-8205	118	5	-	-	PUNCT
cjfa-8205	118	6	svr	svr	ADJ
cjfa-8205	118	7	model	model	NOUN
cjfa-8205	118	8	is	be	AUX
cjfa-8205	118	9	depicted	depict	VERB
cjfa-8205	118	10	in	in	ADP
cjfa-8205	118	11	figure	figure	NOUN
cjfa-8205	118	12	1	1	NUM
cjfa-8205	118	13	.	.	PUNCT
cjfa-8205	118	14	figure	figure	NOUN
cjfa-8205	118	15	1	1	NUM
cjfa-8205	118	16	.	.	PUNCT
cjfa-8205	119	1	an	an	DET
cjfa-8205	119	2	illustration	illustration	NOUN
cjfa-8205	119	3	of	of	ADP
cjfa-8205	119	4	ν	ν	PROPN
cjfa-8205	119	5	-	-	PUNCT
cjfa-8205	119	6	svr	svr	ADJ
cjfa-8205	119	7	approximation	approximation	NOUN
cjfa-8205	119	8	principle	principle	ADJ
cjfa-8205	119	9			NOUN
cjfa-8205	119	10			SYM
cjfa-8205	119	11			NOUN
cjfa-8205	119	12			NOUN
cjfa-8205	119	13			NOUN
cjfa-8205	119	14			NOUN
cjfa-8205	119	15			SYM
cjfa-8205	119	16			NOUN
cjfa-8205	119	17			NUM
cjfa-8205	119	18			NUM
cjfa-8205	119	19			PROPN
cjfa-8205	119	20			NUM
cjfa-8205	119	21			NUM
cjfa-8205	119	22			NUM
cjfa-8205	119	23			ADP
cjfa-8205	119	24			NUM
cjfa-8205	119	25			NUM
cjfa-8205	119	26			VERB
cjfa-8205	119	27			NOUN
cjfa-8205	119	28			PROPN
cjfa-8205	119	29			PROPN
cjfa-8205	120	1			PROPN
cjfa-8205	120	2			INTJ
cjfa-8205	120	3			NUM
cjfa-8205	120	4			ADP
cjfa-8205	121	1			PROPN
cjfa-8205	121	2			PROPN
cjfa-8205	121	3			PRON
cjfa-8205	121	4			NOUN
cjfa-8205	121	5			VERB
cjfa-8205	121	6			PROPN
cjfa-8205	121	7			NOUN
cjfa-8205	121	8			X
cjfa-8205	122	1			NUM
cjfa-8205	122	2	.0	.0	NUM
cjfa-8205	122	3	,	,	PUNCT
cjfa-8205	122	4	0	0	NUM
cjfa-8205	122	5	,	,	PUNCT
cjfa-8205	122	6	,	,	PUNCT
cjfa-8205	122	7	,	,	PUNCT
cjfa-8205	122	8	subject	subject	ADJ
cjfa-8205	122	9	to	to	ADP
cjfa-8205	122	10	1	1	NUM
cjfa-8205	122	11	2	2	NUM
cjfa-8205	122	12	1min	1min	NUM
cjfa-8205	122	13	*	*	PUNCT
cjfa-8205	122	14	*	*	PUNCT
cjfa-8205	122	15	1	1	NUM
cjfa-8205	122	16	*	*	PUNCT
cjfa-8205	122	17	,	,	PUNCT
cjfa-8205	122	18	,	,	PUNCT
cjfa-8205	122	19	,	,	PUNCT
cjfa-8205	122	20			PROPN
cjfa-8205	122	21			PUNCT
cjfa-8205	122	22			NOUN
cjfa-8205	122	23			NOUN
cjfa-8205	122	24			PROPN
cjfa-8205	122	25			PROPN
cjfa-8205	122	26	ii	ii	PROPN
cjfa-8205	122	27	ii	ii	PROPN
cjfa-8205	123	1	t	t	PROPN
cjfa-8205	124	1	i	i	PRON
cjfa-8205	124	2	iii	iii	VERB
cjfa-8205	124	3	t	t	NOUN
cjfa-8205	124	4	l	l	NOUN
cjfa-8205	125	1	i	i	PRON
cjfa-8205	125	2	ii	ii	VERB
cjfa-8205	125	3	t	t	PROPN
cjfa-8205	125	4	bξ	bξ	PROPN
cjfa-8205	125	5	,	,	PUNCT
cjfa-8205	125	6	ξ	ξ	PROPN
cjfa-8205	125	7	by	by	ADP
cjfa-8205	125	8	yb	yb	PROPN
cjfa-8205	125	9	ξ	ξ	PROPN
cjfa-8205	125	10	l	l	NOUN
cjfa-8205	126	1	c	c	X
cjfa-8205	126	2	*	*	PUNCT
cjfa-8205	126	3	xw	xw	PROPN
cjfa-8205	126	4	xw	xw	PROPN
cjfa-8205	126	5	ww	ww	PROPN
cjfa-8205	126	6	w	w	PROPN
cjfa-8205	126	7	where	where	SCONJ
cjfa-8205	126	8			NOUN
cjfa-8205	126	9	ix	ix	PUNCT
cjfa-8205	126	10	is	be	AUX
cjfa-8205	126	11	kernel	kernel	PROPN
cjfa-8205	126	12	function	function	NOUN
cjfa-8205	126	13	(	(	PUNCT
cjfa-8205	126	14	gaussian	gaussian	NOUN
cjfa-8205	126	15	)	)	PUNCT
cjfa-8205	126	16	that	that	PRON
cjfa-8205	126	17	performs	perform	VERB
cjfa-8205	126	18	mapping	mapping	NOUN
cjfa-8205	126	19	of	of	ADP
cjfa-8205	126	20	input	input	NOUN
cjfa-8205	126	21	space	space	NOUN
cjfa-8205	126	22	to	to	ADP
cjfa-8205	126	23	high	high	ADJ
cjfa-8205	126	24	dimensional	dimensional	ADJ
cjfa-8205	126	25	feature	feature	NOUN
cjfa-8205	126	26	space	space	NOUN
cjfa-8205	126	27	(	(	PUNCT
cjfa-8205	126	28	the	the	DET
cjfa-8205	126	29	space	space	NOUN
cjfa-8205	126	30	where	where	SCONJ
cjfa-8205	126	31	linear	linear	ADJ
cjfa-8205	126	32	regression	regression	NOUN
cjfa-8205	126	33	is	be	AUX
cjfa-8205	126	34	performed	perform	VERB
cjfa-8205	126	35	)	)	PUNCT
cjfa-8205	126	36	;	;	PUNCT
cjfa-8205	126	37	w	w	PROPN
cjfa-8205	126	38	is	be	AUX
cjfa-8205	126	39	a	a	DET
cjfa-8205	126	40	parameter	parameter	NOUN
cjfa-8205	126	41	vector	vector	NOUN
cjfa-8205	126	42	of	of	ADP
cjfa-8205	126	43	n	n	CCONJ
cjfa-8205	126	44	-	-	PUNCT
cjfa-8205	126	45	dimensional	dimensional	ADJ
cjfa-8205	126	46	hyperplane	hyperplane	NOUN
cjfa-8205	126	47	;	;	PUNCT
cjfa-8205	126	48	b	b	X
cjfa-8205	126	49	is	be	AUX
cjfa-8205	126	50	hyperplane	hyperplane	PROPN
cjfa-8205	126	51	bias	bias	NOUN
cjfa-8205	126	52	parameter	parameter	NOUN
cjfa-8205	126	53	;	;	PUNCT
cjfa-8205	126	54	ξi	ξi	PROPN
cjfa-8205	126	55	*	*	PUNCT
cjfa-8205	126	56	,	,	PUNCT
cjfa-8205	126	57	ξi	ξi	PROPN
cjfa-8205	126	58	are	be	AUX
cjfa-8205	126	59	upper	upper	ADJ
cjfa-8205	126	60	and	and	CCONJ
cjfa-8205	126	61	lower	low	ADJ
cjfa-8205	126	62	training	training	NOUN
cjfa-8205	126	63	errors	error	NOUN
cjfa-8205	126	64	(	(	PUNCT
cjfa-8205	126	65	slack	slack	NOUN
cjfa-8205	126	66	variables	variable	NOUN
cjfa-8205	126	67	)	)	PUNCT
cjfa-8205	126	68	subject	subject	NOUN
cjfa-8205	126	69	to	to	ADP
cjfa-8205	126	70	ε	ε	PROPN
cjfa-8205	126	71	–	–	PUNCT
cjfa-8205	126	72	insensitive	insensitive	ADJ
cjfa-8205	126	73	tube	tube	NOUN
cjfa-8205	126	74	;	;	PUNCT
cjfa-8205	126	75	c	c	PROPN
cjfa-8205	126	76	is	be	AUX
cjfa-8205	126	77	a	a	DET
cjfa-8205	126	78	cost	cost	NOUN
cjfa-8205	126	79	parameter	parameter	NOUN
cjfa-8205	126	80	,	,	PUNCT
cjfa-8205	126	81	that	that	PRON
cjfa-8205	126	82	controls	control	VERB
cjfa-8205	126	83	the	the	DET
cjfa-8205	126	84	trade	trade	NOUN
cjfa-8205	126	85	-	-	PUNCT
cjfa-8205	126	86	off	off	NOUN
cjfa-8205	126	87	between	between	ADP
cjfa-8205	126	88	allowing	allow	VERB
cjfa-8205	126	89	training	training	NOUN
cjfa-8205	126	90	errors	error	NOUN
cjfa-8205	126	91	and	and	CCONJ
cjfa-8205	126	92	forcing	force	VERB
cjfa-8205	126	93	rigid	rigid	ADJ
cjfa-8205	126	94	margins	margin	NOUN
cjfa-8205	126	95	;	;	PUNCT
cjfa-8205	126	96	ν	ν	NOUN
cjfa-8205	126	97	is	be	AUX
cjfa-8205	126	98	regularization	regularization	NOUN
cjfa-8205	126	99	parameter	parameter	NOUN
cjfa-8205	126	100	that	that	PRON
cjfa-8205	126	101	controls	control	VERB
cjfa-8205	126	102	parameter	parameter	NOUN
cjfa-8205	126	103	number	number	NOUN
cjfa-8205	126	104	of	of	ADP
cjfa-8205	126	105	support	support	NOUN
cjfa-8205	126	106	vectors	vector	NOUN
cjfa-8205	126	107	;	;	PUNCT
cjfa-8205	126	108	l	l	X
cjfa-8205	126	109	–	–	PUNCT
cjfa-8205	126	110	is	be	AUX
cjfa-8205	126	111	number	number	NOUN
cjfa-8205	126	112	of	of	ADP
cjfa-8205	126	113	data	datum	NOUN
cjfa-8205	126	114	points	point	NOUN
cjfa-8205	126	115	(	(	PUNCT
cjfa-8205	126	116	observations	observation	NOUN
cjfa-8205	126	117	)	)	PUNCT
cjfa-8205	126	118	.	.	PUNCT
cjfa-8205	127	1	data	datum	NOUN
cjfa-8205	127	2	points	point	NOUN
cjfa-8205	127	3	that	that	PRON
cjfa-8205	127	4	lie	lie	VERB
cjfa-8205	127	5	on	on	ADP
cjfa-8205	127	6	the	the	DET
cjfa-8205	127	7	boundaries	boundary	NOUN
cjfa-8205	127	8	of	of	ADP
cjfa-8205	127	9	ε	ε	PROPN
cjfa-8205	127	10	–	–	PUNCT
cjfa-8205	127	11	insensitive	insensitive	ADJ
cjfa-8205	127	12	tube	tube	NOUN
cjfa-8205	127	13	are	be	AUX
cjfa-8205	127	14	called	call	VERB
cjfa-8205	127	15	support	support	NOUN
cjfa-8205	127	16	vectors	vector	NOUN
cjfa-8205	127	17	.	.	PUNCT
cjfa-8205	128	1	graphical	graphical	ADJ
cjfa-8205	128	2	illustration	illustration	NOUN
cjfa-8205	128	3	of	of	ADP
cjfa-8205	128	4	ν	ν	PROPN
cjfa-8205	128	5	-	-	PUNCT
cjfa-8205	128	6	svr	svr	ADJ
cjfa-8205	128	7	model	model	NOUN
cjfa-8205	128	8	is	be	AUX
cjfa-8205	128	9	depicted	depict	VERB
cjfa-8205	128	10	in	in	ADP
cjfa-8205	128	11	figure	figure	NOUN
cjfa-8205	128	12	1	1	NUM
cjfa-8205	128	13	figure	figure	NOUN
cjfa-8205	128	14	1	1	NUM
cjfa-8205	128	15	.	.	PUNCT
cjfa-8205	129	1	an	an	DET
cjfa-8205	129	2	illustration	illustration	NOUN
cjfa-8205	129	3	of	of	ADP
cjfa-8205	129	4	ν	ν	PROPN
cjfa-8205	129	5	-	-	PUNCT
cjfa-8205	129	6	svr	svr	ADJ
cjfa-8205	129	7	approximation	approximation	NOUN
cjfa-8205	129	8	principle	principle	NOUN
cjfa-8205	129	9	in	in	ADP
cjfa-8205	129	10	this	this	DET
cjfa-8205	129	11	research	research	NOUN
cjfa-8205	129	12	ν	ν	PROPN
cjfa-8205	129	13	-	-	ADJ
cjfa-8205	129	14	svr	svr	PROPN
cjfa-8205	129	15	code	code	NOUN
cjfa-8205	129	16	is	be	AUX
cjfa-8205	129	17	used	use	VERB
cjfa-8205	129	18	that	that	PRON
cjfa-8205	129	19	is	be	AUX
cjfa-8205	129	20	implemented	implement	VERB
cjfa-8205	129	21	in	in	ADP
cjfa-8205	129	22	libsvm	libsvm	NOUN
cjfa-8205	129	23	library	library	NOUN
cjfa-8205	129	24	(	(	PUNCT
cjfa-8205	129	25	see	see	VERB
cjfa-8205	129	26	chihchung	chihchung	PROPN
cjfa-8205	129	27	&	&	CCONJ
cjfa-8205	129	28	chih	chih	PROPN
cjfa-8205	129	29	-	-	PUNCT
cjfa-8205	129	30	jen	jen	PROPN
cjfa-8205	129	31	2011	2011	NUM
cjfa-8205	129	32	)	)	PUNCT
cjfa-8205	129	33	.	.	PUNCT
cjfa-8205	130	1	–	–	PUNCT
cjfa-8205	130	2	ls	ls	PROPN
cjfa-8205	130	3	-	-	PUNCT
cjfa-8205	130	4	svr	svr	NOUN
cjfa-8205	130	5	.	.	PUNCT
cjfa-8205	131	1	least	least	ADJ
cjfa-8205	131	2	squares	square	NOUN
cjfa-8205	131	3	support	support	VERB
cjfa-8205	131	4	vector	vector	NOUN
cjfa-8205	131	5	regression	regression	NOUN
cjfa-8205	131	6	(	(	PUNCT
cjfa-8205	131	7	ls	ls	PROPN
cjfa-8205	131	8	-	-	PUNCT
cjfa-8205	131	9	svr	svr	NOUN
cjfa-8205	131	10	)	)	PUNCT
cjfa-8205	131	11	model	model	NOUN
cjfa-8205	131	12	is	be	AUX
cjfa-8205	131	13	very	very	ADV
cjfa-8205	131	14	similar	similar	ADJ
cjfa-8205	131	15	to	to	ADP
cjfa-8205	131	16	νsvr	νsvr	ADJ
cjfa-8205	131	17	.	.	PUNCT
cjfa-8205	132	1	optimization	optimization	NOUN
cjfa-8205	132	2	problem	problem	NOUN
cjfa-8205	132	3	is	be	AUX
cjfa-8205	132	4	formulated	formulate	VERB
cjfa-8205	132	5	by	by	ADP
cjfa-8205	132	6	following	follow	VERB
cjfa-8205	132	7	equations	equation	NOUN
cjfa-8205	132	8	(	(	PUNCT
cjfa-8205	132	9	suykens	suyken	NOUN
cjfa-8205	132	10	et	et	PROPN
cjfa-8205	132	11	al	al	PROPN
cjfa-8205	132	12	.	.	PROPN
cjfa-8205	132	13	2002	2002	NUM
cjfa-8205	132	14	):	):	PUNCT
cjfa-8205	132	15			NOUN
cjfa-8205	132	16			PUNCT
cjfa-8205	133	1			PROPN
cjfa-8205	134	1			NUM
cjfa-8205	134	2			ADV
cjfa-8205	134	3			X
cjfa-8205	134	4			PROPN
cjfa-8205	135	1			PROPN
cjfa-8205	135	2			PROPN
cjfa-8205	136	1			PROPN
cjfa-8205	136	2			PROPN
cjfa-8205	136	3			NUM
cjfa-8205	136	4			ADV
cjfa-8205	136	5			ADV
cjfa-8205	136	6			X
cjfa-8205	137	1			NUM
cjfa-8205	137	2	.0	.0	NUM
cjfa-8205	137	3	,	,	PUNCT
cjfa-8205	137	4	subject	subject	ADJ
cjfa-8205	137	5	to	to	ADP
cjfa-8205	137	6	22	22	NUM
cjfa-8205	137	7	1min	1min	NUM
cjfa-8205	137	8	1	1	NUM
cjfa-8205	137	9	2	2	NUM
cjfa-8205	137	10	,	,	PUNCT
cjfa-8205	137	11	,	,	PUNCT
cjfa-8205	137	12			NUM
cjfa-8205	137	13			NOUN
cjfa-8205	137	14			NUM
cjfa-8205	137	15	iii	iii	NUM
cjfa-8205	137	16	t	t	NOUN
cjfa-8205	137	17	l	l	NOUN
cjfa-8205	138	1	i	i	PRON
cjfa-8205	138	2	i	i	PRON
cjfa-8205	139	1	t	t	PROPN
cjfa-8205	139	2	eb	eb	PROPN
cjfa-8205	139	3	yeb	yeb	PROPN
cjfa-8205	139	4	e	e	PROPN
cjfa-8205	139	5	xw	xw	PROPN
cjfa-8205	139	6	ww	ww	PROPN
cjfa-8205	139	7	w	w	PROPN
cjfa-8205	139	8	where	where	SCONJ
cjfa-8205	139	9	ei	ei	NOUN
cjfa-8205	139	10	are	be	AUX
cjfa-8205	139	11	error	error	NOUN
cjfa-8205	139	12	variables	variable	NOUN
cjfa-8205	139	13	and	and	CCONJ
cjfa-8205	139	14	γ	γ	X
cjfa-8205	139	15	is	be	AUX
cjfa-8205	139	16	regularization	regularization	NOUN
cjfa-8205	139	17	constant	constant	ADJ
cjfa-8205	139	18	.	.	PUNCT
cjfa-8205	140	1	s	s	PART
cjfa-8205	140	2	o	o	X
cjfa-8205	140	3	u	u	NOUN
cjfa-8205	140	4	r	r	NOUN
cjfa-8205	140	5	c	c	NOUN
cjfa-8205	140	6	e	e	NOUN
cjfa-8205	140	7	:	:	PUNCT
cjfa-8205	140	8	created	create	VERB
cjfa-8205	140	9	by	by	ADP
cjfa-8205	140	10	authors	author	NOUN
cjfa-8205	140	11	.	.	PUNCT
cjfa-8205	141	1	evaluation	evaluation	NOUN
cjfa-8205	141	2	of	of	ADP
cjfa-8205	141	3	atm	atm	ADJ
cjfa-8205	141	4	cash	cash	NOUN
cjfa-8205	141	5	demand	demand	NOUN
cjfa-8205	141	6	process	process	NOUN
cjfa-8205	141	7	factors	factor	NOUN
cjfa-8205	141	8	…	…	PUNCT
cjfa-8205	141	9	215	215	NUM
cjfa-8205	141	10	in	in	ADP
cjfa-8205	141	11	this	this	DET
cjfa-8205	141	12	research	research	NOUN
cjfa-8205	141	13	ν	ν	PROPN
cjfa-8205	141	14	-	-	ADJ
cjfa-8205	141	15	svr	svr	PROPN
cjfa-8205	141	16	code	code	NOUN
cjfa-8205	141	17	is	be	AUX
cjfa-8205	141	18	used	use	VERB
cjfa-8205	141	19	that	that	PRON
cjfa-8205	141	20	is	be	AUX
cjfa-8205	141	21	implemented	implement	VERB
cjfa-8205	141	22	in	in	ADP
cjfa-8205	141	23	libsvm	libsvm	NOUN
cjfa-8205	141	24	library	library	NOUN
cjfa-8205	141	25	(	(	PUNCT
cjfa-8205	141	26	see	see	VERB
cjfa-8205	141	27	chih	chih	PROPN
cjfa-8205	141	28	-	-	PUNCT
cjfa-8205	141	29	chung	chung	PROPN
cjfa-8205	141	30	&	&	CCONJ
cjfa-8205	141	31	chih	chih	PROPN
cjfa-8205	141	32	-	-	PUNCT
cjfa-8205	141	33	jen	jen	PROPN
cjfa-8205	141	34	2011	2011	NUM
cjfa-8205	141	35	)	)	PUNCT
cjfa-8205	141	36	.	.	PUNCT
cjfa-8205	142	1	■	■	PUNCT
cjfa-8205	142	2	ls	ls	PROPN
cjfa-8205	142	3	-	-	PUNCT
cjfa-8205	142	4	svr	svr	NOUN
cjfa-8205	142	5	.	.	PUNCT
cjfa-8205	143	1	least	least	ADJ
cjfa-8205	143	2	squares	square	NOUN
cjfa-8205	143	3	support	support	VERB
cjfa-8205	143	4	vector	vector	NOUN
cjfa-8205	143	5	regression	regression	NOUN
cjfa-8205	143	6	(	(	PUNCT
cjfa-8205	143	7	ls	ls	PROPN
cjfa-8205	143	8	-	-	PUNCT
cjfa-8205	143	9	svr	svr	NOUN
cjfa-8205	143	10	)	)	PUNCT
cjfa-8205	143	11	model	model	NOUN
cjfa-8205	143	12	is	be	AUX
cjfa-8205	143	13	very	very	ADV
cjfa-8205	143	14	similar	similar	ADJ
cjfa-8205	143	15	to	to	ADP
cjfa-8205	143	16	ν	ν	X
cjfa-8205	143	17	-	-	PUNCT
cjfa-8205	143	18	svr	svr	PROPN
cjfa-8205	143	19	.	.	PUNCT
cjfa-8205	144	1	optimization	optimization	NOUN
cjfa-8205	144	2	problem	problem	NOUN
cjfa-8205	144	3	is	be	AUX
cjfa-8205	144	4	formulated	formulate	VERB
cjfa-8205	144	5	by	by	ADP
cjfa-8205	144	6	following	follow	VERB
cjfa-8205	144	7	equations	equation	NOUN
cjfa-8205	144	8	(	(	PUNCT
cjfa-8205	144	9	suykens	suyken	NOUN
cjfa-8205	144	10	et	et	PROPN
cjfa-8205	144	11	al	al	PROPN
cjfa-8205	144	12	.	.	PROPN
cjfa-8205	144	13	2002	2002	NUM
cjfa-8205	144	14	):	):	PUNCT
cjfa-8205	145	1			PROPN
cjfa-8205	145	2			SYM
cjfa-8205	145	3			NOUN
cjfa-8205	145	4			NOUN
cjfa-8205	145	5			NOUN
cjfa-8205	145	6			NOUN
cjfa-8205	145	7			SYM
cjfa-8205	145	8			NOUN
cjfa-8205	145	9			NUM
cjfa-8205	145	10			NUM
cjfa-8205	145	11			PROPN
cjfa-8205	145	12			NUM
cjfa-8205	145	13			NUM
cjfa-8205	145	14			NUM
cjfa-8205	145	15			ADP
cjfa-8205	145	16			NUM
cjfa-8205	145	17			NUM
cjfa-8205	145	18			VERB
cjfa-8205	145	19			NOUN
cjfa-8205	145	20			PROPN
cjfa-8205	146	1			PROPN
cjfa-8205	147	1			PROPN
cjfa-8205	147	2			INTJ
cjfa-8205	147	3			NUM
cjfa-8205	147	4			ADP
cjfa-8205	148	1			PROPN
cjfa-8205	148	2			PROPN
cjfa-8205	148	3			PRON
cjfa-8205	148	4			NOUN
cjfa-8205	148	5			VERB
cjfa-8205	148	6			PROPN
cjfa-8205	148	7			NOUN
cjfa-8205	148	8			X
cjfa-8205	149	1			NUM
cjfa-8205	149	2	.0	.0	NUM
cjfa-8205	149	3	,	,	PUNCT
cjfa-8205	149	4	0	0	NUM
cjfa-8205	149	5	,	,	PUNCT
cjfa-8205	149	6	,	,	PUNCT
cjfa-8205	149	7	,	,	PUNCT
cjfa-8205	149	8	subject	subject	ADJ
cjfa-8205	149	9	to	to	ADP
cjfa-8205	149	10	1	1	NUM
cjfa-8205	149	11	2	2	NUM
cjfa-8205	149	12	1min	1min	NUM
cjfa-8205	149	13	*	*	PUNCT
cjfa-8205	149	14	*	*	PUNCT
cjfa-8205	149	15	1	1	NUM
cjfa-8205	149	16	*	*	PUNCT
cjfa-8205	149	17	,	,	PUNCT
cjfa-8205	149	18	,	,	PUNCT
cjfa-8205	149	19	,	,	PUNCT
cjfa-8205	149	20			PROPN
cjfa-8205	149	21			PUNCT
cjfa-8205	149	22			NOUN
cjfa-8205	149	23			NOUN
cjfa-8205	149	24			PROPN
cjfa-8205	149	25			PROPN
cjfa-8205	149	26	ii	ii	PROPN
cjfa-8205	149	27	ii	ii	PROPN
cjfa-8205	150	1	t	t	PROPN
cjfa-8205	151	1	i	i	PRON
cjfa-8205	151	2	iii	iii	VERB
cjfa-8205	151	3	t	t	NOUN
cjfa-8205	151	4	l	l	NOUN
cjfa-8205	152	1	i	i	PRON
cjfa-8205	152	2	ii	ii	VERB
cjfa-8205	152	3	t	t	PROPN
cjfa-8205	152	4	bξ	bξ	PROPN
cjfa-8205	152	5	,	,	PUNCT
cjfa-8205	152	6	ξ	ξ	PROPN
cjfa-8205	152	7	by	by	ADP
cjfa-8205	152	8	yb	yb	PROPN
cjfa-8205	152	9	ξ	ξ	PROPN
cjfa-8205	152	10	l	l	NOUN
cjfa-8205	153	1	c	c	X
cjfa-8205	153	2	*	*	PUNCT
cjfa-8205	153	3	xw	xw	PROPN
cjfa-8205	153	4	xw	xw	PROPN
cjfa-8205	153	5	ww	ww	PROPN
cjfa-8205	153	6	w	w	PROPN
cjfa-8205	153	7	where	where	SCONJ
cjfa-8205	153	8			NOUN
cjfa-8205	153	9	ix	ix	PUNCT
cjfa-8205	153	10	is	be	AUX
cjfa-8205	153	11	kernel	kernel	PROPN
cjfa-8205	153	12	function	function	NOUN
cjfa-8205	153	13	(	(	PUNCT
cjfa-8205	153	14	gaussian	gaussian	NOUN
cjfa-8205	153	15	)	)	PUNCT
cjfa-8205	153	16	that	that	PRON
cjfa-8205	153	17	performs	perform	VERB
cjfa-8205	153	18	mapping	mapping	NOUN
cjfa-8205	153	19	of	of	ADP
cjfa-8205	153	20	input	input	NOUN
cjfa-8205	153	21	space	space	NOUN
cjfa-8205	153	22	to	to	ADP
cjfa-8205	153	23	high	high	ADJ
cjfa-8205	153	24	dimensional	dimensional	ADJ
cjfa-8205	153	25	feature	feature	NOUN
cjfa-8205	153	26	space	space	NOUN
cjfa-8205	153	27	(	(	PUNCT
cjfa-8205	153	28	the	the	DET
cjfa-8205	153	29	space	space	NOUN
cjfa-8205	153	30	where	where	SCONJ
cjfa-8205	153	31	linear	linear	ADJ
cjfa-8205	153	32	regression	regression	NOUN
cjfa-8205	153	33	is	be	AUX
cjfa-8205	153	34	performed	perform	VERB
cjfa-8205	153	35	)	)	PUNCT
cjfa-8205	153	36	;	;	PUNCT
cjfa-8205	153	37	w	w	PROPN
cjfa-8205	153	38	is	be	AUX
cjfa-8205	153	39	a	a	DET
cjfa-8205	153	40	parameter	parameter	NOUN
cjfa-8205	153	41	vector	vector	NOUN
cjfa-8205	153	42	of	of	ADP
cjfa-8205	153	43	n	n	CCONJ
cjfa-8205	153	44	-	-	PUNCT
cjfa-8205	153	45	dimensional	dimensional	ADJ
cjfa-8205	153	46	hyperplane	hyperplane	NOUN
cjfa-8205	153	47	;	;	PUNCT
cjfa-8205	153	48	b	b	X
cjfa-8205	153	49	is	be	AUX
cjfa-8205	153	50	hyperplane	hyperplane	PROPN
cjfa-8205	153	51	bias	bias	NOUN
cjfa-8205	153	52	parameter	parameter	NOUN
cjfa-8205	153	53	;	;	PUNCT
cjfa-8205	153	54	ξi	ξi	PROPN
cjfa-8205	153	55	*	*	PUNCT
cjfa-8205	153	56	,	,	PUNCT
cjfa-8205	153	57	ξi	ξi	PROPN
cjfa-8205	153	58	are	be	AUX
cjfa-8205	153	59	upper	upper	ADJ
cjfa-8205	153	60	and	and	CCONJ
cjfa-8205	153	61	lower	low	ADJ
cjfa-8205	153	62	training	training	NOUN
cjfa-8205	153	63	errors	error	NOUN
cjfa-8205	153	64	(	(	PUNCT
cjfa-8205	153	65	slack	slack	NOUN
cjfa-8205	153	66	variables	variable	NOUN
cjfa-8205	153	67	)	)	PUNCT
cjfa-8205	153	68	subject	subject	NOUN
cjfa-8205	153	69	to	to	ADP
cjfa-8205	153	70	ε	ε	PROPN
cjfa-8205	153	71	–	–	PUNCT
cjfa-8205	153	72	insensitive	insensitive	ADJ
cjfa-8205	153	73	tube	tube	NOUN
cjfa-8205	153	74	;	;	PUNCT
cjfa-8205	153	75	c	c	PROPN
cjfa-8205	153	76	is	be	AUX
cjfa-8205	153	77	a	a	DET
cjfa-8205	153	78	cost	cost	NOUN
cjfa-8205	153	79	parameter	parameter	NOUN
cjfa-8205	153	80	,	,	PUNCT
cjfa-8205	153	81	that	that	PRON
cjfa-8205	153	82	controls	control	VERB
cjfa-8205	153	83	the	the	DET
cjfa-8205	153	84	trade	trade	NOUN
cjfa-8205	153	85	-	-	PUNCT
cjfa-8205	153	86	off	off	NOUN
cjfa-8205	153	87	between	between	ADP
cjfa-8205	153	88	allowing	allow	VERB
cjfa-8205	153	89	training	training	NOUN
cjfa-8205	153	90	errors	error	NOUN
cjfa-8205	153	91	and	and	CCONJ
cjfa-8205	153	92	forcing	force	VERB
cjfa-8205	153	93	rigid	rigid	ADJ
cjfa-8205	153	94	margins	margin	NOUN
cjfa-8205	153	95	;	;	PUNCT
cjfa-8205	153	96	ν	ν	NOUN
cjfa-8205	153	97	is	be	AUX
cjfa-8205	153	98	regularization	regularization	NOUN
cjfa-8205	153	99	parameter	parameter	NOUN
cjfa-8205	153	100	that	that	PRON
cjfa-8205	153	101	controls	control	VERB
cjfa-8205	153	102	parameter	parameter	NOUN
cjfa-8205	153	103	number	number	NOUN
cjfa-8205	153	104	of	of	ADP
cjfa-8205	153	105	support	support	NOUN
cjfa-8205	153	106	vectors	vector	NOUN
cjfa-8205	153	107	;	;	PUNCT
cjfa-8205	153	108	l	l	X
cjfa-8205	153	109	–	–	PUNCT
cjfa-8205	153	110	is	be	AUX
cjfa-8205	153	111	number	number	NOUN
cjfa-8205	153	112	of	of	ADP
cjfa-8205	153	113	data	datum	NOUN
cjfa-8205	153	114	points	point	NOUN
cjfa-8205	153	115	(	(	PUNCT
cjfa-8205	153	116	observations	observation	NOUN
cjfa-8205	153	117	)	)	PUNCT
cjfa-8205	153	118	.	.	PUNCT
cjfa-8205	154	1	data	datum	NOUN
cjfa-8205	154	2	points	point	NOUN
cjfa-8205	154	3	that	that	PRON
cjfa-8205	154	4	lie	lie	VERB
cjfa-8205	154	5	on	on	ADP
cjfa-8205	154	6	the	the	DET
cjfa-8205	154	7	boundaries	boundary	NOUN
cjfa-8205	154	8	of	of	ADP
cjfa-8205	154	9	ε	ε	PROPN
cjfa-8205	154	10	–	–	PUNCT
cjfa-8205	154	11	insensitive	insensitive	ADJ
cjfa-8205	154	12	tube	tube	NOUN
cjfa-8205	154	13	are	be	AUX
cjfa-8205	154	14	called	call	VERB
cjfa-8205	154	15	support	support	NOUN
cjfa-8205	154	16	vectors	vector	NOUN
cjfa-8205	154	17	.	.	PUNCT
cjfa-8205	155	1	graphical	graphical	ADJ
cjfa-8205	155	2	illustration	illustration	NOUN
cjfa-8205	155	3	of	of	ADP
cjfa-8205	155	4	ν	ν	PROPN
cjfa-8205	155	5	-	-	PUNCT
cjfa-8205	155	6	svr	svr	ADJ
cjfa-8205	155	7	model	model	NOUN
cjfa-8205	155	8	is	be	AUX
cjfa-8205	155	9	depicted	depict	VERB
cjfa-8205	155	10	in	in	ADP
cjfa-8205	155	11	figure	figure	NOUN
cjfa-8205	155	12	1	1	NUM
cjfa-8205	155	13	figure	figure	NOUN
cjfa-8205	155	14	1	1	NUM
cjfa-8205	155	15	.	.	PUNCT
cjfa-8205	156	1	an	an	DET
cjfa-8205	156	2	illustration	illustration	NOUN
cjfa-8205	156	3	of	of	ADP
cjfa-8205	156	4	ν	ν	PROPN
cjfa-8205	156	5	-	-	PUNCT
cjfa-8205	156	6	svr	svr	ADJ
cjfa-8205	156	7	approximation	approximation	NOUN
cjfa-8205	156	8	principle	principle	NOUN
cjfa-8205	156	9	in	in	ADP
cjfa-8205	156	10	this	this	DET
cjfa-8205	156	11	research	research	NOUN
cjfa-8205	156	12	ν	ν	PROPN
cjfa-8205	156	13	-	-	ADJ
cjfa-8205	156	14	svr	svr	PROPN
cjfa-8205	156	15	code	code	NOUN
cjfa-8205	156	16	is	be	AUX
cjfa-8205	156	17	used	use	VERB
cjfa-8205	156	18	that	that	PRON
cjfa-8205	156	19	is	be	AUX
cjfa-8205	156	20	implemented	implement	VERB
cjfa-8205	156	21	in	in	ADP
cjfa-8205	156	22	libsvm	libsvm	NOUN
cjfa-8205	156	23	library	library	NOUN
cjfa-8205	156	24	(	(	PUNCT
cjfa-8205	156	25	see	see	VERB
cjfa-8205	156	26	chihchung	chihchung	PROPN
cjfa-8205	156	27	&	&	CCONJ
cjfa-8205	156	28	chih	chih	PROPN
cjfa-8205	156	29	-	-	PUNCT
cjfa-8205	156	30	jen	jen	PROPN
cjfa-8205	156	31	2011	2011	NUM
cjfa-8205	156	32	)	)	PUNCT
cjfa-8205	156	33	.	.	PUNCT
cjfa-8205	157	1	–	–	PUNCT
cjfa-8205	157	2	ls	ls	PROPN
cjfa-8205	157	3	-	-	PUNCT
cjfa-8205	157	4	svr	svr	NOUN
cjfa-8205	157	5	.	.	PUNCT
cjfa-8205	158	1	least	least	ADJ
cjfa-8205	158	2	squares	square	NOUN
cjfa-8205	158	3	support	support	VERB
cjfa-8205	158	4	vector	vector	NOUN
cjfa-8205	158	5	regression	regression	NOUN
cjfa-8205	158	6	(	(	PUNCT
cjfa-8205	158	7	ls	ls	PROPN
cjfa-8205	158	8	-	-	PUNCT
cjfa-8205	158	9	svr	svr	NOUN
cjfa-8205	158	10	)	)	PUNCT
cjfa-8205	158	11	model	model	NOUN
cjfa-8205	158	12	is	be	AUX
cjfa-8205	158	13	very	very	ADV
cjfa-8205	158	14	similar	similar	ADJ
cjfa-8205	158	15	to	to	ADP
cjfa-8205	158	16	νsvr	νsvr	ADJ
cjfa-8205	158	17	.	.	PUNCT
cjfa-8205	159	1	optimization	optimization	NOUN
cjfa-8205	159	2	problem	problem	NOUN
cjfa-8205	159	3	is	be	AUX
cjfa-8205	159	4	formulated	formulate	VERB
cjfa-8205	159	5	by	by	ADP
cjfa-8205	159	6	following	follow	VERB
cjfa-8205	159	7	equations	equation	NOUN
cjfa-8205	159	8	(	(	PUNCT
cjfa-8205	159	9	suykens	suyken	NOUN
cjfa-8205	159	10	et	et	PROPN
cjfa-8205	159	11	al	al	PROPN
cjfa-8205	159	12	.	.	PROPN
cjfa-8205	159	13	2002	2002	NUM
cjfa-8205	159	14	):	):	PUNCT
cjfa-8205	159	15			NOUN
cjfa-8205	159	16			PUNCT
cjfa-8205	160	1			PROPN
cjfa-8205	161	1			NUM
cjfa-8205	161	2			ADV
cjfa-8205	161	3			X
cjfa-8205	161	4			PROPN
cjfa-8205	162	1			PROPN
cjfa-8205	162	2			PROPN
cjfa-8205	163	1			PROPN
cjfa-8205	163	2			PROPN
cjfa-8205	163	3			NUM
cjfa-8205	163	4			ADV
cjfa-8205	163	5			ADV
cjfa-8205	163	6			X
cjfa-8205	164	1			NUM
cjfa-8205	164	2	.0	.0	NUM
cjfa-8205	164	3	,	,	PUNCT
cjfa-8205	164	4	subject	subject	ADJ
cjfa-8205	164	5	to	to	ADP
cjfa-8205	164	6	22	22	NUM
cjfa-8205	164	7	1min	1min	NUM
cjfa-8205	164	8	1	1	NUM
cjfa-8205	164	9	2	2	NUM
cjfa-8205	164	10	,	,	PUNCT
cjfa-8205	164	11	,	,	PUNCT
cjfa-8205	164	12			NUM
cjfa-8205	164	13			NOUN
cjfa-8205	164	14			NUM
cjfa-8205	164	15	iii	iii	NUM
cjfa-8205	164	16	t	t	NOUN
cjfa-8205	164	17	l	l	NOUN
cjfa-8205	165	1	i	i	PRON
cjfa-8205	165	2	i	i	PRON
cjfa-8205	166	1	t	t	PROPN
cjfa-8205	166	2	eb	eb	PROPN
cjfa-8205	166	3	yeb	yeb	PROPN
cjfa-8205	166	4	e	e	PROPN
cjfa-8205	166	5	xw	xw	PROPN
cjfa-8205	166	6	ww	ww	PROPN
cjfa-8205	166	7	w	w	PROPN
cjfa-8205	166	8	where	where	SCONJ
cjfa-8205	166	9	ei	ei	NOUN
cjfa-8205	166	10	are	be	AUX
cjfa-8205	166	11	error	error	NOUN
cjfa-8205	166	12	variables	variable	NOUN
cjfa-8205	166	13	and	and	CCONJ
cjfa-8205	166	14	γ	γ	X
cjfa-8205	166	15	is	be	AUX
cjfa-8205	166	16	regularization	regularization	NOUN
cjfa-8205	166	17	constant	constant	ADJ
cjfa-8205	166	18	.	.	PUNCT
cjfa-8205	167	1	where	where	SCONJ
cjfa-8205	167	2	ei	ei	NOUN
cjfa-8205	167	3	are	be	AUX
cjfa-8205	167	4	error	error	NOUN
cjfa-8205	167	5	variables	variable	NOUN
cjfa-8205	167	6	and	and	CCONJ
cjfa-8205	167	7	γ	γ	X
cjfa-8205	167	8	is	be	AUX
cjfa-8205	167	9	regularization	regularization	NOUN
cjfa-8205	167	10	constant	constant	ADJ
cjfa-8205	167	11	.	.	PUNCT
cjfa-8205	168	1	differently	differently	ADV
cjfa-8205	168	2	from	from	ADP
cjfa-8205	168	3	ν	ν	PROPN
cjfa-8205	168	4	-	-	PUNCT
cjfa-8205	168	5	svr	svr	ADJ
cjfa-8205	168	6	,	,	PUNCT
cjfa-8205	168	7	ls	ls	PROPN
cjfa-8205	168	8	-	-	PUNCT
cjfa-8205	168	9	svr	svr	PROPN
cjfa-8205	168	10	does	do	AUX
cjfa-8205	168	11	n’t	not	PART
cjfa-8205	168	12	use	use	VERB
cjfa-8205	168	13	insensitive	insensitive	ADJ
cjfa-8205	168	14	tube	tube	NOUN
cjfa-8205	168	15	and	and	CCONJ
cjfa-8205	168	16	is	be	AUX
cjfa-8205	168	17	regularized	regularize	VERB
cjfa-8205	168	18	only	only	ADV
cjfa-8205	168	19	by	by	ADP
cjfa-8205	168	20	parameter	parameter	NOUN
cjfa-8205	168	21	γ	γ	PROPN
cjfa-8205	168	22	,	,	PUNCT
cjfa-8205	168	23	so	so	ADV
cjfa-8205	168	24	is	be	AUX
cjfa-8205	168	25	not	not	PART
cjfa-8205	168	26	as	as	ADV
cjfa-8205	168	27	sparse	sparse	ADJ
cjfa-8205	168	28	as	as	ADP
cjfa-8205	168	29	ν	ν	NOUN
cjfa-8205	168	30	-	-	PUNCT
cjfa-8205	168	31	svr	svr	ADJ
cjfa-8205	168	32	model	model	NOUN
cjfa-8205	168	33	(	(	PUNCT
cjfa-8205	168	34	has	have	AUX
cjfa-8205	168	35	more	more	ADJ
cjfa-8205	168	36	support	support	NOUN
cjfa-8205	168	37	vectors	vector	NOUN
cjfa-8205	168	38	)	)	PUNCT
cjfa-8205	168	39	.	.	PUNCT
cjfa-8205	169	1	but	but	CCONJ
cjfa-8205	169	2	least	least	ADJ
cjfa-8205	169	3	squares	square	NOUN
cjfa-8205	169	4	loss	loss	NOUN
cjfa-8205	169	5	function	function	NOUN
cjfa-8205	169	6	brings	bring	VERB
cjfa-8205	169	7	other	other	ADJ
cjfa-8205	169	8	flexibility	flexibility	NOUN
cjfa-8205	169	9	benefits	benefit	NOUN
cjfa-8205	169	10	for	for	ADP
cjfa-8205	169	11	regression	regression	NOUN
cjfa-8205	169	12	problems	problem	NOUN
cjfa-8205	169	13	.	.	PUNCT
cjfa-8205	170	1	as	as	ADP
cjfa-8205	170	2	for	for	ADP
cjfa-8205	170	3	ν	ν	PROPN
cjfa-8205	170	4	-	-	PUNCT
cjfa-8205	170	5	svr	svr	PROPN
cjfa-8205	170	6	model	model	NOUN
cjfa-8205	170	7	,	,	PUNCT
cjfa-8205	170	8	for	for	ADP
cjfa-8205	170	9	ls	ls	PROPN
cjfa-8205	170	10	-	-	PUNCT
cjfa-8205	170	11	svr	svr	NOUN
cjfa-8205	170	12	model	model	NOUN
cjfa-8205	170	13	gaussian	gaussian	PROPN
cjfa-8205	170	14	kernel	kernel	PROPN
cjfa-8205	170	15	functions	function	NOUN
cjfa-8205	170	16	are	be	AUX
cjfa-8205	170	17	used	use	VERB
cjfa-8205	170	18	.	.	PUNCT
cjfa-8205	171	1	in	in	ADP
cjfa-8205	171	2	this	this	DET
cjfa-8205	171	3	research	research	NOUN
cjfa-8205	171	4	ls	ls	PROPN
cjfa-8205	171	5	-	-	PUNCT
cjfa-8205	171	6	svr	svr	PROPN
cjfa-8205	171	7	code	code	NOUN
cjfa-8205	171	8	is	be	AUX
cjfa-8205	171	9	used	use	VERB
cjfa-8205	171	10	from	from	ADP
cjfa-8205	171	11	ls	ls	ADJ
cjfa-8205	171	12	-	-	PUNCT
cjfa-8205	171	13	svmlab	svmlab	NOUN
cjfa-8205	171	14	toolbox	toolbox	NOUN
cjfa-8205	171	15	presented	present	VERB
cjfa-8205	171	16	in	in	ADP
cjfa-8205	171	17	website	website	NOUN
cjfa-8205	171	18	(	(	PUNCT
cjfa-8205	171	19	see	see	VERB
cjfa-8205	171	20	pelckmans	pelckman	NOUN
cjfa-8205	171	21	et	et	PROPN
cjfa-8205	171	22	al	al	PROPN
cjfa-8205	171	23	.	.	PROPN
cjfa-8205	171	24	2002	2002	NUM
cjfa-8205	171	25	)	)	PUNCT
cjfa-8205	171	26	.	.	PUNCT
cjfa-8205	172	1	relevance	relevance	NOUN
cjfa-8205	172	2	vector	vector	NOUN
cjfa-8205	172	3	regression	regression	NOUN
cjfa-8205	172	4	model	model	NOUN
cjfa-8205	172	5	.	.	PUNCT
cjfa-8205	173	1	relevance	relevance	NOUN
cjfa-8205	173	2	vector	vector	NOUN
cjfa-8205	173	3	regression	regression	NOUN
cjfa-8205	173	4	(	(	PUNCT
cjfa-8205	173	5	tipping	tip	VERB
cjfa-8205	173	6	2001	2001	NUM
cjfa-8205	173	7	)	)	PUNCT
cjfa-8205	173	8	is	be	AUX
cjfa-8205	173	9	model	model	NOUN
cjfa-8205	173	10	that	that	PRON
cjfa-8205	173	11	has	have	VERB
cjfa-8205	173	12	same	same	ADJ
cjfa-8205	173	13	linear	linear	ADJ
cjfa-8205	173	14	functional	functional	ADJ
cjfa-8205	173	15	form	form	NOUN
cjfa-8205	173	16	as	as	ADP
cjfa-8205	173	17	support	support	NOUN
cjfa-8205	173	18	vector	vector	NOUN
cjfa-8205	173	19	regression	regression	NOUN
cjfa-8205	173	20	:	:	PUNCT
cjfa-8205	173	21	differently	differently	ADV
cjfa-8205	173	22	from	from	ADP
cjfa-8205	173	23	ν	ν	PROPN
cjfa-8205	173	24	-	-	PUNCT
cjfa-8205	173	25	svr	svr	ADJ
cjfa-8205	173	26	,	,	PUNCT
cjfa-8205	173	27	ls	ls	PROPN
cjfa-8205	173	28	-	-	PUNCT
cjfa-8205	173	29	svr	svr	PROPN
cjfa-8205	173	30	does	do	AUX
cjfa-8205	173	31	n’t	not	PART
cjfa-8205	173	32	use	use	VERB
cjfa-8205	173	33	insensitive	insensitive	ADJ
cjfa-8205	173	34	tube	tube	NOUN
cjfa-8205	173	35	and	and	CCONJ
cjfa-8205	173	36	is	be	AUX
cjfa-8205	173	37	regularized	regularize	VERB
cjfa-8205	173	38	only	only	ADV
cjfa-8205	173	39	by	by	ADP
cjfa-8205	173	40	parameter	parameter	NOUN
cjfa-8205	173	41	γ	γ	PROPN
cjfa-8205	173	42	,	,	PUNCT
cjfa-8205	173	43	so	so	ADV
cjfa-8205	173	44	is	be	AUX
cjfa-8205	173	45	not	not	PART
cjfa-8205	173	46	as	as	ADV
cjfa-8205	173	47	sparse	sparse	ADJ
cjfa-8205	173	48	as	as	ADP
cjfa-8205	173	49	ν	ν	NOUN
cjfa-8205	173	50	-	-	PUNCT
cjfa-8205	173	51	svr	svr	ADJ
cjfa-8205	173	52	model	model	NOUN
cjfa-8205	173	53	(	(	PUNCT
cjfa-8205	173	54	has	have	AUX
cjfa-8205	173	55	more	more	ADJ
cjfa-8205	173	56	support	support	NOUN
cjfa-8205	173	57	vectors	vector	NOUN
cjfa-8205	173	58	)	)	PUNCT
cjfa-8205	173	59	.	.	PUNCT
cjfa-8205	174	1	but	but	CCONJ
cjfa-8205	174	2	least	least	ADJ
cjfa-8205	174	3	squares	square	NOUN
cjfa-8205	174	4	loss	loss	NOUN
cjfa-8205	174	5	function	function	NOUN
cjfa-8205	174	6	brings	bring	VERB
cjfa-8205	174	7	other	other	ADJ
cjfa-8205	174	8	flexibility	flexibility	NOUN
cjfa-8205	174	9	benefits	benefit	NOUN
cjfa-8205	174	10	for	for	ADP
cjfa-8205	174	11	regression	regression	NOUN
cjfa-8205	174	12	problems	problem	NOUN
cjfa-8205	174	13	.	.	PUNCT
cjfa-8205	175	1	as	as	ADP
cjfa-8205	175	2	for	for	ADP
cjfa-8205	175	3	νsvr	νsvr	NOUN
cjfa-8205	175	4	model	model	NOUN
cjfa-8205	175	5	,	,	PUNCT
cjfa-8205	175	6	for	for	ADP
cjfa-8205	175	7	ls	ls	PROPN
cjfa-8205	175	8	-	-	PUNCT
cjfa-8205	175	9	svr	svr	NOUN
cjfa-8205	175	10	model	model	NOUN
cjfa-8205	175	11	gaussian	gaussian	PROPN
cjfa-8205	175	12	kernel	kernel	PROPN
cjfa-8205	175	13	functions	function	NOUN
cjfa-8205	175	14	are	be	AUX
cjfa-8205	175	15	used	use	VERB
cjfa-8205	175	16	.	.	PUNCT
cjfa-8205	176	1	in	in	ADP
cjfa-8205	176	2	this	this	DET
cjfa-8205	176	3	research	research	NOUN
cjfa-8205	176	4	ls	ls	PROPN
cjfa-8205	176	5	-	-	PUNCT
cjfa-8205	176	6	svr	svr	PROPN
cjfa-8205	176	7	code	code	NOUN
cjfa-8205	176	8	is	be	AUX
cjfa-8205	176	9	used	use	VERB
cjfa-8205	176	10	from	from	ADP
cjfa-8205	176	11	ls	ls	ADJ
cjfa-8205	176	12	-	-	PUNCT
cjfa-8205	176	13	svmlab	svmlab	NOUN
cjfa-8205	176	14	toolbox	toolbox	NOUN
cjfa-8205	176	15	presented	present	VERB
cjfa-8205	176	16	in	in	ADP
cjfa-8205	176	17	website	website	NOUN
cjfa-8205	176	18	(	(	PUNCT
cjfa-8205	176	19	see	see	VERB
cjfa-8205	176	20	pelckmans	pelckman	NOUN
cjfa-8205	176	21	et	et	PROPN
cjfa-8205	176	22	al	al	PROPN
cjfa-8205	176	23	.	.	PROPN
cjfa-8205	176	24	2002	2002	NUM
cjfa-8205	176	25	)	)	PUNCT
cjfa-8205	176	26	.	.	PUNCT
cjfa-8205	177	1	relevance	relevance	NOUN
cjfa-8205	177	2	vector	vector	NOUN
cjfa-8205	177	3	regression	regression	NOUN
cjfa-8205	177	4	model	model	NOUN
cjfa-8205	177	5	.	.	PUNCT
cjfa-8205	178	1	relevance	relevance	NOUN
cjfa-8205	178	2	vector	vector	NOUN
cjfa-8205	178	3	regression	regression	NOUN
cjfa-8205	178	4	(	(	PUNCT
cjfa-8205	178	5	tipping	tip	VERB
cjfa-8205	178	6	2001	2001	NUM
cjfa-8205	178	7	)	)	PUNCT
cjfa-8205	178	8	is	be	AUX
cjfa-8205	178	9	model	model	NOUN
cjfa-8205	178	10	that	that	PRON
cjfa-8205	178	11	has	have	VERB
cjfa-8205	178	12	same	same	ADJ
cjfa-8205	178	13	linear	linear	ADJ
cjfa-8205	178	14	functional	functional	ADJ
cjfa-8205	178	15	form	form	NOUN
cjfa-8205	178	16	as	as	ADP
cjfa-8205	178	17	support	support	NOUN
cjfa-8205	178	18	vector	vector	NOUN
cjfa-8205	178	19	regression	regression	NOUN
cjfa-8205	178	20	:	:	PUNCT
cjfa-8205	178	21	�	�	PROPN
cjfa-8205	178	22	�	�	PROPN
cjfa-8205	178	23	�	�	PROPN
cjfa-8205	178	24	�	�	PROPN
cjfa-8205	178	25	�	�	PROPN
cjfa-8205	178	26	�	�	PROPN
cjfa-8205	178	27	�	�	PROPN
cjfa-8205	178	28	�	�	PROPN
cjfa-8205	178	29	�	�	PROPN
cjfa-8205	178	30	�	�	PROPN
cjfa-8205	178	31	�	�	PROPN
cjfa-8205	178	32	�	�	PROPN
cjfa-8205	178	33	�	�	PROPN
cjfa-8205	178	34	�	�	PROPN
cjfa-8205	178	35	�	�	PROPN
cjfa-8205	178	36	�	�	PROPN
cjfa-8205	178	37	�	�	PROPN
cjfa-8205	178	38	�	�	PROPN
cjfa-8205	178	39	�	�	PROPN
cjfa-8205	178	40	�	�	PROPN
cjfa-8205	178	41	�	�	PROPN
cjfa-8205	178	42	�	�	PROPN
cjfa-8205	178	43	�	�	PROPN
cjfa-8205	178	44	�	�	PROPN
cjfa-8205	178	45	.	.	PUNCT
cjfa-8205	179	1	where	where	SCONJ
cjfa-8205	179	2	�	�	PROPN
cjfa-8205	179	3	�	�	PROPN
cjfa-8205	179	4	�	�	PROPN
cjfa-8205	179	5	�	�	PROPN
cjfa-8205	179	6	�	�	PROPN
cjfa-8205	179	7	�	�	PROPN
cjfa-8205	179	8	�	�	PROPN
cjfa-8205	179	9	is	be	AUX
cjfa-8205	179	10	defined	define	VERB
cjfa-8205	179	11	as	as	ADP
cjfa-8205	179	12	kernel	kernel	PROPN
cjfa-8205	179	13	function	function	PROPN
cjfa-8205	179	14	and	and	CCONJ
cjfa-8205	179	15	�	�	PROPN
cjfa-8205	179	16	is	be	AUX
cjfa-8205	179	17	model	model	NOUN
cjfa-8205	179	18	weight	weight	NOUN
cjfa-8205	179	19	vector	vector	NOUN
cjfa-8205	179	20	.	.	PUNCT
cjfa-8205	180	1	rvr	rvr	PROPN
cjfa-8205	180	2	uses	use	VERB
cjfa-8205	180	3	even	even	ADV
cjfa-8205	180	4	less	less	ADJ
cjfa-8205	180	5	support	support	NOUN
cjfa-8205	180	6	vectors	vector	NOUN
cjfa-8205	180	7	(	(	PUNCT
cjfa-8205	180	8	is	be	AUX
cjfa-8205	180	9	more	more	ADV
cjfa-8205	180	10	sparse	sparse	ADJ
cjfa-8205	180	11	than	than	ADP
cjfa-8205	180	12	ν	ν	NOUN
cjfa-8205	180	13	-	-	PUNCT
cjfa-8205	180	14	svr	svr	NOUN
cjfa-8205	180	15	)	)	PUNCT
cjfa-8205	180	16	,	,	PUNCT
cjfa-8205	180	17	that	that	PRON
cjfa-8205	180	18	are	be	AUX
cjfa-8205	180	19	called	call	VERB
cjfa-8205	180	20	relevance	relevance	NOUN
cjfa-8205	180	21	vectors	vector	NOUN
cjfa-8205	180	22	.	.	PUNCT
cjfa-8205	181	1	bayesian	bayesian	NOUN
cjfa-8205	181	2	inference	inference	NOUN
cjfa-8205	181	3	methodology	methodology	NOUN
cjfa-8205	181	4	is	be	AUX
cjfa-8205	181	5	used	use	VERB
cjfa-8205	181	6	during	during	ADP
cjfa-8205	181	7	rvr	rvr	PROPN
cjfa-8205	181	8	model	model	NOUN
cjfa-8205	181	9	parameter	parameter	NOUN
cjfa-8205	181	10	and	and	CCONJ
cjfa-8205	181	11	relevance	relevance	NOUN
cjfa-8205	181	12	vector	vector	NOUN
cjfa-8205	181	13	determination	determination	NOUN
cjfa-8205	181	14	.	.	PUNCT
cjfa-8205	182	1	rvr	rvr	PROPN
cjfa-8205	182	2	uses	use	VERB
cjfa-8205	182	3	em	em	NOUN
cjfa-8205	182	4	-	-	PUNCT
cjfa-8205	182	5	like	like	ADJ
cjfa-8205	182	6	(	(	PUNCT
cjfa-8205	182	7	expectation	expectation	NOUN
cjfa-8205	182	8	-	-	PUNCT
cjfa-8205	182	9	maximization	maximization	NOUN
cjfa-8205	182	10	)	)	PUNCT
cjfa-8205	182	11	learning	learn	VERB
cjfa-8205	182	12	algorithm	algorithm	NOUN
cjfa-8205	182	13	and	and	CCONJ
cjfa-8205	182	14	applies	apply	VERB
cjfa-8205	182	15	a	a	DET
cjfa-8205	182	16	priori	priori	ADJ
cjfa-8205	182	17	distributions	distribution	NOUN
cjfa-8205	182	18	(	(	PUNCT
cjfa-8205	182	19	because	because	SCONJ
cjfa-8205	182	20	of	of	ADP
cjfa-8205	182	21	bayesian	bayesian	NOUN
cjfa-8205	182	22	methodology	methodology	NOUN
cjfa-8205	182	23	)	)	PUNCT
cjfa-8205	182	24	over	over	ADP
cjfa-8205	182	25	parameters	parameter	NOUN
cjfa-8205	182	26	.	.	PUNCT
cjfa-8205	183	1	gaussian	gaussian	ADJ
cjfa-8205	183	2	kernel	kernel	PROPN
cjfa-8205	183	3	as	as	ADP
cjfa-8205	183	4	in	in	ADP
cjfa-8205	183	5	both	both	CCONJ
cjfa-8205	183	6	lssvr	lssvr	ADJ
cjfa-8205	183	7	and	and	CCONJ
cjfa-8205	183	8	ν	ν	PROPN
cjfa-8205	183	9	-	-	PUNCT
cjfa-8205	183	10	svr	svr	PROPN
cjfa-8205	183	11	cases	case	NOUN
cjfa-8205	183	12	are	be	AUX
cjfa-8205	183	13	also	also	ADV
cjfa-8205	183	14	used	use	VERB
cjfa-8205	183	15	with	with	ADP
cjfa-8205	183	16	rvr	rvr	NOUN
cjfa-8205	183	17	.	.	PUNCT
cjfa-8205	184	1	in	in	ADP
cjfa-8205	184	2	this	this	DET
cjfa-8205	184	3	research	research	NOUN
cjfa-8205	184	4	rvr	rvr	NOUN
cjfa-8205	184	5	implemented	implement	VERB
cjfa-8205	184	6	in	in	ADP
cjfa-8205	184	7	sparsebayes	sparsebaye	NOUN
cjfa-8205	184	8	package	package	NOUN
cjfa-8205	184	9	for	for	ADP
cjfa-8205	184	10	matlab	matlab	PROPN
cjfa-8205	184	11	by	by	ADP
cjfa-8205	184	12	rvr	rvr	PROPN
cjfa-8205	184	13	author	author	NOUN
cjfa-8205	184	14	himself	himself	PRON
cjfa-8205	184	15	(	(	PUNCT
cjfa-8205	184	16	see	see	VERB
cjfa-8205	184	17	tipping	tipping	NOUN
cjfa-8205	184	18	2001	2001	NUM
cjfa-8205	184	19	)	)	PUNCT
cjfa-8205	184	20	is	be	AUX
cjfa-8205	184	21	used	use	VERB
cjfa-8205	184	22	.	.	PUNCT
cjfa-8205	185	1	feed	feed	NOUN
cjfa-8205	185	2	-	-	PUNCT
cjfa-8205	185	3	forward	forward	ADV
cjfa-8205	185	4	neural	neural	ADJ
cjfa-8205	185	5	network	network	NOUN
cjfa-8205	185	6	model	model	NOUN
cjfa-8205	185	7	.	.	PUNCT
cjfa-8205	186	1	feed	feed	NOUN
cjfa-8205	186	2	-	-	PUNCT
cjfa-8205	186	3	forward	forward	ADV
cjfa-8205	186	4	neural	neural	ADJ
cjfa-8205	186	5	network	network	NOUN
cjfa-8205	186	6	(	(	PUNCT
cjfa-8205	186	7	ffnn	ffnn	NOUN
cjfa-8205	186	8	)	)	PUNCT
cjfa-8205	186	9	is	be	AUX
cjfa-8205	186	10	the	the	DET
cjfa-8205	186	11	most	most	ADV
cjfa-8205	186	12	popular	popular	ADJ
cjfa-8205	186	13	artificial	artificial	ADJ
cjfa-8205	186	14	neural	neural	ADJ
cjfa-8205	186	15	network	network	NOUN
cjfa-8205	186	16	architecture	architecture	NOUN
cjfa-8205	186	17	for	for	ADP
cjfa-8205	186	18	nonlinear	nonlinear	ADJ
cjfa-8205	186	19	function	function	NOUN
cjfa-8205	186	20	approximation	approximation	NOUN
cjfa-8205	186	21	(	(	PUNCT
cjfa-8205	186	22	classification	classification	NOUN
cjfa-8205	186	23	and	and	CCONJ
cjfa-8205	186	24	regression	regression	NOUN
cjfa-8205	186	25	)	)	PUNCT
cjfa-8205	186	26	problems	problem	NOUN
cjfa-8205	186	27	.	.	PUNCT
cjfa-8205	187	1	the	the	DET
cjfa-8205	187	2	architecture	architecture	NOUN
cjfa-8205	187	3	of	of	ADP
cjfa-8205	187	4	algorithm	algorithm	NOUN
cjfa-8205	187	5	was	be	AUX
cjfa-8205	187	6	inspired	inspire	VERB
cjfa-8205	187	7	by	by	ADP
cjfa-8205	187	8	biological	biological	ADJ
cjfa-8205	187	9	neural	neural	ADJ
cjfa-8205	187	10	networks	network	NOUN
cjfa-8205	187	11	(	(	PUNCT
cjfa-8205	187	12	brains	brain	NOUN
cjfa-8205	187	13	)	)	PUNCT
cjfa-8205	187	14	and	and	CCONJ
cjfa-8205	187	15	models	model	VERB
cjfa-8205	187	16	the	the	DET
cjfa-8205	187	17	interconnection	interconnection	NOUN
cjfa-8205	187	18	of	of	ADP
cjfa-8205	187	19	neurons	neuron	NOUN
cjfa-8205	187	20	that	that	PRON
cjfa-8205	187	21	can	can	AUX
cjfa-8205	187	22	compute	compute	VERB
cjfa-8205	187	23	values	value	NOUN
cjfa-8205	187	24	from	from	ADP
cjfa-8205	187	25	inputs	input	NOUN
cjfa-8205	187	26	by	by	ADP
cjfa-8205	187	27	feeding	feed	VERB
cjfa-8205	187	28	information	information	NOUN
cjfa-8205	187	29	through	through	ADP
cjfa-8205	187	30	the	the	DET
cjfa-8205	187	31	network	network	NOUN
cjfa-8205	187	32	.	.	PUNCT
cjfa-8205	188	1	ffnn	ffnn	NOUN
cjfa-8205	188	2	model	model	NOUN
cjfa-8205	188	3	architecture	architecture	NOUN
cjfa-8205	188	4	is	be	AUX
cjfa-8205	188	5	depicted	depict	VERB
cjfa-8205	188	6	in	in	ADP
cjfa-8205	188	7	figure	figure	NOUN
cjfa-8205	188	8	2	2	NUM
cjfa-8205	188	9	.	.	PUNCT
cjfa-8205	188	10	figure	figure	NOUN
cjfa-8205	188	11	2	2	NUM
cjfa-8205	188	12	.	.	PUNCT
cjfa-8205	189	1	an	an	DET
cjfa-8205	189	2	illustration	illustration	NOUN
cjfa-8205	189	3	of	of	ADP
cjfa-8205	189	4	feed	feed	NOUN
cjfa-8205	189	5	-	-	PUNCT
cjfa-8205	189	6	forward	forward	ADV
cjfa-8205	189	7	neural	neural	ADJ
cjfa-8205	189	8	network	network	NOUN
cjfa-8205	189	9	architecture	architecture	NOUN
cjfa-8205	189	10	in	in	ADP
cjfa-8205	189	11	this	this	DET
cjfa-8205	189	12	research	research	NOUN
cjfa-8205	189	13	,	,	PUNCT
cjfa-8205	189	14	logarithmic	logarithmic	ADJ
cjfa-8205	189	15	sigmoid	sigmoid	NOUN
cjfa-8205	189	16	transfer	transfer	NOUN
cjfa-8205	189	17	function	function	NOUN
cjfa-8205	189	18	was	be	AUX
cjfa-8205	189	19	used	use	VERB
cjfa-8205	189	20	in	in	ADP
cjfa-8205	189	21	the	the	DET
cjfa-8205	189	22	hidden	hidden	ADJ
cjfa-8205	189	23	layers	layer	NOUN
cjfa-8205	189	24	and	and	CCONJ
cjfa-8205	189	25	linear	linear	ADJ
cjfa-8205	189	26	transfer	transfer	NOUN
cjfa-8205	189	27	function	function	NOUN
cjfa-8205	189	28	in	in	ADP
cjfa-8205	189	29	the	the	DET
cjfa-8205	189	30	output	output	NOUN
cjfa-8205	189	31	layer	layer	NOUN
cjfa-8205	189	32	.	.	PUNCT
cjfa-8205	190	1	logarithmic	logarithmic	ADJ
cjfa-8205	190	2	sigmoid	sigmoid	NOUN
cjfa-8205	190	3	transfer	transfer	NOUN
cjfa-8205	190	4	function	function	NOUN
cjfa-8205	190	5	output	output	NOUN
cjfa-8205	190	6	of	of	ADP
cjfa-8205	190	7	where	where	SCONJ
cjfa-8205	190	8	differently	differently	ADV
cjfa-8205	190	9	from	from	ADP
cjfa-8205	190	10	ν	ν	NOUN
cjfa-8205	190	11	-	-	PUNCT
cjfa-8205	190	12	svr	svr	ADJ
cjfa-8205	190	13	,	,	PUNCT
cjfa-8205	190	14	ls	ls	PROPN
cjfa-8205	190	15	-	-	PUNCT
cjfa-8205	190	16	svr	svr	PROPN
cjfa-8205	190	17	does	do	AUX
cjfa-8205	190	18	n’t	not	PART
cjfa-8205	190	19	use	use	VERB
cjfa-8205	190	20	insensitive	insensitive	ADJ
cjfa-8205	190	21	tube	tube	NOUN
cjfa-8205	190	22	and	and	CCONJ
cjfa-8205	190	23	is	be	AUX
cjfa-8205	190	24	regularized	regularize	VERB
cjfa-8205	190	25	only	only	ADV
cjfa-8205	190	26	by	by	ADP
cjfa-8205	190	27	parameter	parameter	NOUN
cjfa-8205	190	28	γ	γ	PROPN
cjfa-8205	190	29	,	,	PUNCT
cjfa-8205	190	30	so	so	ADV
cjfa-8205	190	31	is	be	AUX
cjfa-8205	190	32	not	not	PART
cjfa-8205	190	33	as	as	ADV
cjfa-8205	190	34	sparse	sparse	ADJ
cjfa-8205	190	35	as	as	ADP
cjfa-8205	190	36	ν	ν	NOUN
cjfa-8205	190	37	-	-	PUNCT
cjfa-8205	190	38	svr	svr	ADJ
cjfa-8205	190	39	model	model	NOUN
cjfa-8205	190	40	(	(	PUNCT
cjfa-8205	190	41	has	have	AUX
cjfa-8205	190	42	more	more	ADJ
cjfa-8205	190	43	support	support	NOUN
cjfa-8205	190	44	vectors	vector	NOUN
cjfa-8205	190	45	)	)	PUNCT
cjfa-8205	190	46	.	.	PUNCT
cjfa-8205	191	1	but	but	CCONJ
cjfa-8205	191	2	least	least	ADJ
cjfa-8205	191	3	squares	square	NOUN
cjfa-8205	191	4	loss	loss	NOUN
cjfa-8205	191	5	function	function	NOUN
cjfa-8205	191	6	brings	bring	VERB
cjfa-8205	191	7	other	other	ADJ
cjfa-8205	191	8	flexibility	flexibility	NOUN
cjfa-8205	191	9	benefits	benefit	NOUN
cjfa-8205	191	10	for	for	ADP
cjfa-8205	191	11	regression	regression	NOUN
cjfa-8205	191	12	problems	problem	NOUN
cjfa-8205	191	13	.	.	PUNCT
cjfa-8205	192	1	as	as	ADP
cjfa-8205	192	2	for	for	ADP
cjfa-8205	192	3	νsvr	νsvr	NOUN
cjfa-8205	192	4	model	model	NOUN
cjfa-8205	192	5	,	,	PUNCT
cjfa-8205	192	6	for	for	ADP
cjfa-8205	192	7	ls	ls	PROPN
cjfa-8205	192	8	-	-	PUNCT
cjfa-8205	192	9	svr	svr	NOUN
cjfa-8205	192	10	model	model	NOUN
cjfa-8205	192	11	gaussian	gaussian	PROPN
cjfa-8205	192	12	kernel	kernel	PROPN
cjfa-8205	192	13	functions	function	NOUN
cjfa-8205	192	14	are	be	AUX
cjfa-8205	192	15	used	use	VERB
cjfa-8205	192	16	.	.	PUNCT
cjfa-8205	193	1	in	in	ADP
cjfa-8205	193	2	this	this	DET
cjfa-8205	193	3	research	research	NOUN
cjfa-8205	193	4	ls	ls	PROPN
cjfa-8205	193	5	-	-	PUNCT
cjfa-8205	193	6	svr	svr	PROPN
cjfa-8205	193	7	code	code	NOUN
cjfa-8205	193	8	is	be	AUX
cjfa-8205	193	9	used	use	VERB
cjfa-8205	193	10	from	from	ADP
cjfa-8205	193	11	ls	ls	ADJ
cjfa-8205	193	12	-	-	PUNCT
cjfa-8205	193	13	svmlab	svmlab	NOUN
cjfa-8205	193	14	toolbox	toolbox	NOUN
cjfa-8205	193	15	presented	present	VERB
cjfa-8205	193	16	in	in	ADP
cjfa-8205	193	17	website	website	NOUN
cjfa-8205	193	18	(	(	PUNCT
cjfa-8205	193	19	see	see	VERB
cjfa-8205	193	20	pelckmans	pelckman	NOUN
cjfa-8205	193	21	et	et	PROPN
cjfa-8205	193	22	al	al	PROPN
cjfa-8205	193	23	.	.	PROPN
cjfa-8205	193	24	2002	2002	NUM
cjfa-8205	193	25	)	)	PUNCT
cjfa-8205	193	26	.	.	PUNCT
cjfa-8205	194	1	relevance	relevance	NOUN
cjfa-8205	194	2	vector	vector	NOUN
cjfa-8205	194	3	regression	regression	NOUN
cjfa-8205	194	4	model	model	NOUN
cjfa-8205	194	5	.	.	PUNCT
cjfa-8205	195	1	relevance	relevance	NOUN
cjfa-8205	195	2	vector	vector	NOUN
cjfa-8205	195	3	regression	regression	NOUN
cjfa-8205	195	4	(	(	PUNCT
cjfa-8205	195	5	tipping	tip	VERB
cjfa-8205	195	6	2001	2001	NUM
cjfa-8205	195	7	)	)	PUNCT
cjfa-8205	195	8	is	be	AUX
cjfa-8205	195	9	model	model	NOUN
cjfa-8205	195	10	that	that	PRON
cjfa-8205	195	11	has	have	VERB
cjfa-8205	195	12	same	same	ADJ
cjfa-8205	195	13	linear	linear	ADJ
cjfa-8205	195	14	functional	functional	ADJ
cjfa-8205	195	15	form	form	NOUN
cjfa-8205	195	16	as	as	ADP
cjfa-8205	195	17	support	support	NOUN
cjfa-8205	195	18	vector	vector	NOUN
cjfa-8205	195	19	regression	regression	NOUN
cjfa-8205	195	20	:	:	PUNCT
cjfa-8205	195	21	�	�	PROPN
cjfa-8205	195	22	�	�	PROPN
cjfa-8205	195	23	�	�	PROPN
cjfa-8205	195	24	�	�	PROPN
cjfa-8205	195	25	�	�	PROPN
cjfa-8205	195	26	�	�	PROPN
cjfa-8205	195	27	�	�	PROPN
cjfa-8205	195	28	�	�	PROPN
cjfa-8205	195	29	�	�	PROPN
cjfa-8205	195	30	�	�	PROPN
cjfa-8205	195	31	�	�	PROPN
cjfa-8205	195	32	�	�	PROPN
cjfa-8205	195	33	�	�	PROPN
cjfa-8205	195	34	�	�	PROPN
cjfa-8205	195	35	�	�	PROPN
cjfa-8205	195	36	�	�	PROPN
cjfa-8205	195	37	�	�	PROPN
cjfa-8205	195	38	�	�	PROPN
cjfa-8205	195	39	�	�	PROPN
cjfa-8205	195	40	�	�	PROPN
cjfa-8205	195	41	�	�	PROPN
cjfa-8205	195	42	�	�	PROPN
cjfa-8205	195	43	�	�	PROPN
cjfa-8205	195	44	�	�	PROPN
cjfa-8205	195	45	.	.	PUNCT
cjfa-8205	196	1	where	where	SCONJ
cjfa-8205	196	2	�	�	PROPN
cjfa-8205	196	3	�	�	PROPN
cjfa-8205	196	4	�	�	PROPN
cjfa-8205	196	5	�	�	PROPN
cjfa-8205	196	6	�	�	PROPN
cjfa-8205	196	7	�	�	PROPN
cjfa-8205	196	8	�	�	PROPN
cjfa-8205	196	9	is	be	AUX
cjfa-8205	196	10	defined	define	VERB
cjfa-8205	196	11	as	as	ADP
cjfa-8205	196	12	kernel	kernel	PROPN
cjfa-8205	196	13	function	function	PROPN
cjfa-8205	196	14	and	and	CCONJ
cjfa-8205	196	15	�	�	PROPN
cjfa-8205	196	16	is	be	AUX
cjfa-8205	196	17	model	model	NOUN
cjfa-8205	196	18	weight	weight	NOUN
cjfa-8205	196	19	vector	vector	NOUN
cjfa-8205	196	20	.	.	PUNCT
cjfa-8205	197	1	rvr	rvr	PROPN
cjfa-8205	197	2	uses	use	VERB
cjfa-8205	197	3	even	even	ADV
cjfa-8205	197	4	less	less	ADJ
cjfa-8205	197	5	support	support	NOUN
cjfa-8205	197	6	vectors	vector	NOUN
cjfa-8205	197	7	(	(	PUNCT
cjfa-8205	197	8	is	be	AUX
cjfa-8205	197	9	more	more	ADV
cjfa-8205	197	10	sparse	sparse	ADJ
cjfa-8205	197	11	than	than	ADP
cjfa-8205	197	12	ν	ν	NOUN
cjfa-8205	197	13	-	-	PUNCT
cjfa-8205	197	14	svr	svr	NOUN
cjfa-8205	197	15	)	)	PUNCT
cjfa-8205	197	16	,	,	PUNCT
cjfa-8205	197	17	that	that	PRON
cjfa-8205	197	18	are	be	AUX
cjfa-8205	197	19	called	call	VERB
cjfa-8205	197	20	relevance	relevance	NOUN
cjfa-8205	197	21	vectors	vector	NOUN
cjfa-8205	197	22	.	.	PUNCT
cjfa-8205	198	1	bayesian	bayesian	NOUN
cjfa-8205	198	2	inference	inference	NOUN
cjfa-8205	198	3	methodology	methodology	NOUN
cjfa-8205	198	4	is	be	AUX
cjfa-8205	198	5	used	use	VERB
cjfa-8205	198	6	during	during	ADP
cjfa-8205	198	7	rvr	rvr	PROPN
cjfa-8205	198	8	model	model	NOUN
cjfa-8205	198	9	parameter	parameter	NOUN
cjfa-8205	198	10	and	and	CCONJ
cjfa-8205	198	11	relevance	relevance	NOUN
cjfa-8205	198	12	vector	vector	NOUN
cjfa-8205	198	13	determination	determination	NOUN
cjfa-8205	198	14	.	.	PUNCT
cjfa-8205	199	1	rvr	rvr	PROPN
cjfa-8205	199	2	uses	use	VERB
cjfa-8205	199	3	em	em	NOUN
cjfa-8205	199	4	-	-	PUNCT
cjfa-8205	199	5	like	like	ADJ
cjfa-8205	199	6	(	(	PUNCT
cjfa-8205	199	7	expectation	expectation	NOUN
cjfa-8205	199	8	-	-	PUNCT
cjfa-8205	199	9	maximization	maximization	NOUN
cjfa-8205	199	10	)	)	PUNCT
cjfa-8205	199	11	learning	learn	VERB
cjfa-8205	199	12	algorithm	algorithm	NOUN
cjfa-8205	199	13	and	and	CCONJ
cjfa-8205	199	14	applies	apply	VERB
cjfa-8205	199	15	a	a	DET
cjfa-8205	199	16	priori	priori	ADJ
cjfa-8205	199	17	distributions	distribution	NOUN
cjfa-8205	199	18	(	(	PUNCT
cjfa-8205	199	19	because	because	SCONJ
cjfa-8205	199	20	of	of	ADP
cjfa-8205	199	21	bayesian	bayesian	NOUN
cjfa-8205	199	22	methodology	methodology	NOUN
cjfa-8205	199	23	)	)	PUNCT
cjfa-8205	199	24	over	over	ADP
cjfa-8205	199	25	parameters	parameter	NOUN
cjfa-8205	199	26	.	.	PUNCT
cjfa-8205	200	1	gaussian	gaussian	ADJ
cjfa-8205	200	2	kernel	kernel	PROPN
cjfa-8205	200	3	as	as	ADP
cjfa-8205	200	4	in	in	ADP
cjfa-8205	200	5	both	both	CCONJ
cjfa-8205	200	6	lssvr	lssvr	ADJ
cjfa-8205	200	7	and	and	CCONJ
cjfa-8205	200	8	ν	ν	PROPN
cjfa-8205	200	9	-	-	PUNCT
cjfa-8205	200	10	svr	svr	PROPN
cjfa-8205	200	11	cases	case	NOUN
cjfa-8205	200	12	are	be	AUX
cjfa-8205	200	13	also	also	ADV
cjfa-8205	200	14	used	use	VERB
cjfa-8205	200	15	with	with	ADP
cjfa-8205	200	16	rvr	rvr	NOUN
cjfa-8205	200	17	.	.	PUNCT
cjfa-8205	201	1	in	in	ADP
cjfa-8205	201	2	this	this	DET
cjfa-8205	201	3	research	research	NOUN
cjfa-8205	201	4	rvr	rvr	NOUN
cjfa-8205	201	5	implemented	implement	VERB
cjfa-8205	201	6	in	in	ADP
cjfa-8205	201	7	sparsebayes	sparsebaye	NOUN
cjfa-8205	201	8	package	package	NOUN
cjfa-8205	201	9	for	for	ADP
cjfa-8205	201	10	matlab	matlab	PROPN
cjfa-8205	201	11	by	by	ADP
cjfa-8205	201	12	rvr	rvr	PROPN
cjfa-8205	201	13	author	author	NOUN
cjfa-8205	201	14	himself	himself	PRON
cjfa-8205	201	15	(	(	PUNCT
cjfa-8205	201	16	see	see	VERB
cjfa-8205	201	17	tipping	tipping	NOUN
cjfa-8205	201	18	2001	2001	NUM
cjfa-8205	201	19	)	)	PUNCT
cjfa-8205	201	20	is	be	AUX
cjfa-8205	201	21	used	use	VERB
cjfa-8205	201	22	.	.	PUNCT
cjfa-8205	202	1	feed	feed	NOUN
cjfa-8205	202	2	-	-	PUNCT
cjfa-8205	202	3	forward	forward	ADV
cjfa-8205	202	4	neural	neural	ADJ
cjfa-8205	202	5	network	network	NOUN
cjfa-8205	202	6	model	model	NOUN
cjfa-8205	202	7	.	.	PUNCT
cjfa-8205	203	1	feed	feed	NOUN
cjfa-8205	203	2	-	-	PUNCT
cjfa-8205	203	3	forward	forward	ADV
cjfa-8205	203	4	neural	neural	ADJ
cjfa-8205	203	5	network	network	NOUN
cjfa-8205	203	6	(	(	PUNCT
cjfa-8205	203	7	ffnn	ffnn	NOUN
cjfa-8205	203	8	)	)	PUNCT
cjfa-8205	203	9	is	be	AUX
cjfa-8205	203	10	the	the	DET
cjfa-8205	203	11	most	most	ADV
cjfa-8205	203	12	popular	popular	ADJ
cjfa-8205	203	13	artificial	artificial	ADJ
cjfa-8205	203	14	neural	neural	ADJ
cjfa-8205	203	15	network	network	NOUN
cjfa-8205	203	16	architecture	architecture	NOUN
cjfa-8205	203	17	for	for	ADP
cjfa-8205	203	18	nonlinear	nonlinear	ADJ
cjfa-8205	203	19	function	function	NOUN
cjfa-8205	203	20	approximation	approximation	NOUN
cjfa-8205	203	21	(	(	PUNCT
cjfa-8205	203	22	classification	classification	NOUN
cjfa-8205	203	23	and	and	CCONJ
cjfa-8205	203	24	regression	regression	NOUN
cjfa-8205	203	25	)	)	PUNCT
cjfa-8205	203	26	problems	problem	NOUN
cjfa-8205	203	27	.	.	PUNCT
cjfa-8205	204	1	the	the	DET
cjfa-8205	204	2	architecture	architecture	NOUN
cjfa-8205	204	3	of	of	ADP
cjfa-8205	204	4	algorithm	algorithm	NOUN
cjfa-8205	204	5	was	be	AUX
cjfa-8205	204	6	inspired	inspire	VERB
cjfa-8205	204	7	by	by	ADP
cjfa-8205	204	8	biological	biological	ADJ
cjfa-8205	204	9	neural	neural	ADJ
cjfa-8205	204	10	networks	network	NOUN
cjfa-8205	204	11	(	(	PUNCT
cjfa-8205	204	12	brains	brain	NOUN
cjfa-8205	204	13	)	)	PUNCT
cjfa-8205	204	14	and	and	CCONJ
cjfa-8205	204	15	models	model	VERB
cjfa-8205	204	16	the	the	DET
cjfa-8205	204	17	interconnection	interconnection	NOUN
cjfa-8205	204	18	of	of	ADP
cjfa-8205	204	19	neurons	neuron	NOUN
cjfa-8205	204	20	that	that	PRON
cjfa-8205	204	21	can	can	AUX
cjfa-8205	204	22	compute	compute	VERB
cjfa-8205	204	23	values	value	NOUN
cjfa-8205	204	24	from	from	ADP
cjfa-8205	204	25	inputs	input	NOUN
cjfa-8205	204	26	by	by	ADP
cjfa-8205	204	27	feeding	feed	VERB
cjfa-8205	204	28	information	information	NOUN
cjfa-8205	204	29	through	through	ADP
cjfa-8205	204	30	the	the	DET
cjfa-8205	204	31	network	network	NOUN
cjfa-8205	204	32	.	.	PUNCT
cjfa-8205	205	1	ffnn	ffnn	NOUN
cjfa-8205	205	2	model	model	NOUN
cjfa-8205	205	3	architecture	architecture	NOUN
cjfa-8205	205	4	is	be	AUX
cjfa-8205	205	5	depicted	depict	VERB
cjfa-8205	205	6	in	in	ADP
cjfa-8205	205	7	figure	figure	NOUN
cjfa-8205	205	8	2	2	NUM
cjfa-8205	205	9	.	.	PUNCT
cjfa-8205	205	10	figure	figure	NOUN
cjfa-8205	205	11	2	2	NUM
cjfa-8205	205	12	.	.	PUNCT
cjfa-8205	206	1	an	an	DET
cjfa-8205	206	2	illustration	illustration	NOUN
cjfa-8205	206	3	of	of	ADP
cjfa-8205	206	4	feed	feed	NOUN
cjfa-8205	206	5	-	-	PUNCT
cjfa-8205	206	6	forward	forward	ADV
cjfa-8205	206	7	neural	neural	ADJ
cjfa-8205	206	8	network	network	NOUN
cjfa-8205	206	9	architecture	architecture	NOUN
cjfa-8205	206	10	in	in	ADP
cjfa-8205	206	11	this	this	DET
cjfa-8205	206	12	research	research	NOUN
cjfa-8205	206	13	,	,	PUNCT
cjfa-8205	206	14	logarithmic	logarithmic	ADJ
cjfa-8205	206	15	sigmoid	sigmoid	NOUN
cjfa-8205	206	16	transfer	transfer	NOUN
cjfa-8205	206	17	function	function	NOUN
cjfa-8205	206	18	was	be	AUX
cjfa-8205	206	19	used	use	VERB
cjfa-8205	206	20	in	in	ADP
cjfa-8205	206	21	the	the	DET
cjfa-8205	206	22	hidden	hidden	ADJ
cjfa-8205	206	23	layers	layer	NOUN
cjfa-8205	206	24	and	and	CCONJ
cjfa-8205	206	25	linear	linear	ADJ
cjfa-8205	206	26	transfer	transfer	NOUN
cjfa-8205	206	27	function	function	NOUN
cjfa-8205	206	28	in	in	ADP
cjfa-8205	206	29	the	the	DET
cjfa-8205	206	30	output	output	NOUN
cjfa-8205	206	31	layer	layer	NOUN
cjfa-8205	206	32	.	.	PUNCT
cjfa-8205	207	1	logarithmic	logarithmic	ADJ
cjfa-8205	207	2	sigmoid	sigmoid	NOUN
cjfa-8205	207	3	transfer	transfer	NOUN
cjfa-8205	207	4	function	function	NOUN
cjfa-8205	207	5	output	output	NOUN
cjfa-8205	207	6	of	of	ADP
cjfa-8205	207	7	is	be	AUX
cjfa-8205	207	8	defined	define	VERB
cjfa-8205	207	9	as	as	ADP
cjfa-8205	207	10	kernel	kernel	NOUN
cjfa-8205	207	11	function	function	PROPN
cjfa-8205	207	12	and	and	CCONJ
cjfa-8205	207	13	is	be	AUX
cjfa-8205	207	14	model	model	VERB
cjfa-8205	207	15	weight	weight	NOUN
cjfa-8205	207	16	vector	vector	NOUN
cjfa-8205	207	17	.	.	PUNCT
cjfa-8205	208	1	rvr	rvr	PROPN
cjfa-8205	208	2	uses	use	VERB
cjfa-8205	208	3	even	even	ADV
cjfa-8205	208	4	less	less	ADJ
cjfa-8205	208	5	support	support	NOUN
cjfa-8205	208	6	vectors	vector	NOUN
cjfa-8205	208	7	(	(	PUNCT
cjfa-8205	208	8	is	be	AUX
cjfa-8205	208	9	more	more	ADV
cjfa-8205	208	10	sparse	sparse	ADJ
cjfa-8205	208	11	than	than	ADP
cjfa-8205	208	12	ν	ν	NOUN
cjfa-8205	208	13	-	-	PUNCT
cjfa-8205	208	14	svr	svr	NOUN
cjfa-8205	208	15	)	)	PUNCT
cjfa-8205	208	16	,	,	PUNCT
cjfa-8205	208	17	that	that	PRON
cjfa-8205	208	18	are	be	AUX
cjfa-8205	208	19	called	call	VERB
cjfa-8205	208	20	relevance	relevance	NOUN
cjfa-8205	208	21	vectors	vector	NOUN
cjfa-8205	208	22	.	.	PUNCT
cjfa-8205	209	1	bayesian	bayesian	NOUN
cjfa-8205	209	2	inference	inference	NOUN
cjfa-8205	209	3	methodology	methodology	NOUN
cjfa-8205	209	4	is	be	AUX
cjfa-8205	209	5	used	use	VERB
cjfa-8205	209	6	during	during	ADP
cjfa-8205	209	7	rvr	rvr	PROPN
cjfa-8205	209	8	model	model	NOUN
cjfa-8205	209	9	parameter	parameter	NOUN
cjfa-8205	209	10	and	and	CCONJ
cjfa-8205	209	11	relevance	relevance	NOUN
cjfa-8205	209	12	vector	vector	NOUN
cjfa-8205	209	13	determination	determination	NOUN
cjfa-8205	209	14	.	.	PUNCT
cjfa-8205	210	1	rvr	rvr	PROPN
cjfa-8205	210	2	uses	use	VERB
cjfa-8205	210	3	em	em	NOUN
cjfa-8205	210	4	-	-	PUNCT
cjfa-8205	210	5	like	like	ADJ
cjfa-8205	210	6	(	(	PUNCT
cjfa-8205	210	7	expectation	expectation	NOUN
cjfa-8205	210	8	-	-	PUNCT
cjfa-8205	210	9	maximization	maximization	NOUN
cjfa-8205	210	10	)	)	PUNCT
cjfa-8205	210	11	learning	learn	VERB
cjfa-8205	210	12	algorithm	algorithm	NOUN
cjfa-8205	210	13	and	and	CCONJ
cjfa-8205	210	14	applies	apply	VERB
cjfa-8205	210	15	a	a	DET
cjfa-8205	210	16	priori	priori	ADJ
cjfa-8205	210	17	distributions	distribution	NOUN
cjfa-8205	210	18	(	(	PUNCT
cjfa-8205	210	19	because	because	SCONJ
cjfa-8205	210	20	of	of	ADP
cjfa-8205	210	21	bayesian	bayesian	NOUN
cjfa-8205	210	22	methodology	methodology	NOUN
cjfa-8205	210	23	)	)	PUNCT
cjfa-8205	210	24	over	over	ADP
cjfa-8205	210	25	parameters	parameter	NOUN
cjfa-8205	210	26	.	.	PUNCT
cjfa-8205	211	1	gaussian	gaussian	ADJ
cjfa-8205	211	2	kernel	kernel	PROPN
cjfa-8205	211	3	as	as	ADP
cjfa-8205	211	4	in	in	ADP
cjfa-8205	211	5	both	both	CCONJ
cjfa-8205	211	6	lssvr	lssvr	ADJ
cjfa-8205	211	7	and	and	CCONJ
cjfa-8205	211	8	ν	ν	PROPN
cjfa-8205	211	9	-	-	PUNCT
cjfa-8205	211	10	svr	svr	PROPN
cjfa-8205	211	11	cases	case	NOUN
cjfa-8205	211	12	are	be	AUX
cjfa-8205	211	13	also	also	ADV
cjfa-8205	211	14	used	use	VERB
cjfa-8205	211	15	with	with	ADP
cjfa-8205	211	16	rvr	rvr	NOUN
cjfa-8205	211	17	.	.	PUNCT
cjfa-8205	212	1	in	in	ADP
cjfa-8205	212	2	this	this	DET
cjfa-8205	212	3	research	research	NOUN
cjfa-8205	212	4	rvr	rvr	NOUN
cjfa-8205	212	5	implemented	implement	VERB
cjfa-8205	212	6	in	in	ADP
cjfa-8205	212	7	sparsebayes	sparsebaye	NOUN
cjfa-8205	212	8	package	package	NOUN
cjfa-8205	212	9	for	for	ADP
cjfa-8205	212	10	matlab	matlab	PROPN
cjfa-8205	212	11	by	by	ADP
cjfa-8205	212	12	rvr	rvr	PROPN
cjfa-8205	212	13	author	author	NOUN
cjfa-8205	212	14	himself	himself	PRON
cjfa-8205	212	15	(	(	PUNCT
cjfa-8205	212	16	see	see	VERB
cjfa-8205	212	17	tipping	tipping	NOUN
cjfa-8205	212	18	2001	2001	NUM
cjfa-8205	212	19	)	)	PUNCT
cjfa-8205	212	20	is	be	AUX
cjfa-8205	212	21	used	use	VERB
cjfa-8205	212	22	.	.	PUNCT
cjfa-8205	213	1	gediminas	gediminas	PROPN
cjfa-8205	213	2	žylius216	žylius216	PROPN
cjfa-8205	213	3	feed	feed	NOUN
cjfa-8205	213	4	-	-	PUNCT
cjfa-8205	213	5	forward	forward	NOUN
cjfa-8205	213	6	neural	neural	ADJ
cjfa-8205	213	7	network	network	NOUN
cjfa-8205	213	8	model	model	NOUN
cjfa-8205	213	9	.	.	PUNCT
cjfa-8205	214	1	feed	feed	NOUN
cjfa-8205	214	2	-	-	PUNCT
cjfa-8205	214	3	forward	forward	ADV
cjfa-8205	214	4	neural	neural	ADJ
cjfa-8205	214	5	network	network	NOUN
cjfa-8205	214	6	(	(	PUNCT
cjfa-8205	214	7	ffnn	ffnn	NOUN
cjfa-8205	214	8	)	)	PUNCT
cjfa-8205	214	9	is	be	AUX
cjfa-8205	214	10	the	the	DET
cjfa-8205	214	11	most	most	ADV
cjfa-8205	214	12	popular	popular	ADJ
cjfa-8205	214	13	artificial	artificial	ADJ
cjfa-8205	214	14	neural	neural	ADJ
cjfa-8205	214	15	network	network	NOUN
cjfa-8205	214	16	architecture	architecture	NOUN
cjfa-8205	214	17	for	for	ADP
cjfa-8205	214	18	nonlinear	nonlinear	ADJ
cjfa-8205	214	19	function	function	NOUN
cjfa-8205	214	20	approximation	approximation	NOUN
cjfa-8205	214	21	(	(	PUNCT
cjfa-8205	214	22	classification	classification	NOUN
cjfa-8205	214	23	and	and	CCONJ
cjfa-8205	214	24	regression	regression	NOUN
cjfa-8205	214	25	)	)	PUNCT
cjfa-8205	214	26	problems	problem	NOUN
cjfa-8205	214	27	.	.	PUNCT
cjfa-8205	215	1	the	the	DET
cjfa-8205	215	2	architecture	architecture	NOUN
cjfa-8205	215	3	of	of	ADP
cjfa-8205	215	4	algorithm	algorithm	NOUN
cjfa-8205	215	5	was	be	AUX
cjfa-8205	215	6	inspired	inspire	VERB
cjfa-8205	215	7	by	by	ADP
cjfa-8205	215	8	biological	biological	ADJ
cjfa-8205	215	9	neural	neural	ADJ
cjfa-8205	215	10	networks	network	NOUN
cjfa-8205	215	11	(	(	PUNCT
cjfa-8205	215	12	brains	brain	NOUN
cjfa-8205	215	13	)	)	PUNCT
cjfa-8205	215	14	and	and	CCONJ
cjfa-8205	215	15	models	model	VERB
cjfa-8205	215	16	the	the	DET
cjfa-8205	215	17	interconnection	interconnection	NOUN
cjfa-8205	215	18	of	of	ADP
cjfa-8205	215	19	neurons	neuron	NOUN
cjfa-8205	215	20	that	that	PRON
cjfa-8205	215	21	can	can	AUX
cjfa-8205	215	22	compute	compute	VERB
cjfa-8205	215	23	values	value	NOUN
cjfa-8205	215	24	from	from	ADP
cjfa-8205	215	25	inputs	input	NOUN
cjfa-8205	215	26	by	by	ADP
cjfa-8205	215	27	feeding	feed	VERB
cjfa-8205	215	28	information	information	NOUN
cjfa-8205	215	29	through	through	ADP
cjfa-8205	215	30	the	the	DET
cjfa-8205	215	31	network	network	NOUN
cjfa-8205	215	32	.	.	PUNCT
cjfa-8205	216	1	ffnn	ffnn	NOUN
cjfa-8205	216	2	model	model	NOUN
cjfa-8205	216	3	architecture	architecture	NOUN
cjfa-8205	216	4	is	be	AUX
cjfa-8205	216	5	depicted	depict	VERB
cjfa-8205	216	6	in	in	ADP
cjfa-8205	216	7	figure	figure	NOUN
cjfa-8205	216	8	2	2	NUM
cjfa-8205	216	9	.	.	PUNCT
cjfa-8205	216	10	figure	figure	NOUN
cjfa-8205	216	11	2	2	NUM
cjfa-8205	216	12	.	.	PUNCT
cjfa-8205	217	1	an	an	DET
cjfa-8205	217	2	illustration	illustration	NOUN
cjfa-8205	217	3	of	of	ADP
cjfa-8205	217	4	feed	feed	NOUN
cjfa-8205	217	5	-	-	PUNCT
cjfa-8205	217	6	forward	forward	ADV
cjfa-8205	217	7	neural	neural	ADJ
cjfa-8205	217	8	network	network	NOUN
cjfa-8205	217	9	architecture	architecture	NOUN
cjfa-8205	217	10	differently	differently	ADV
cjfa-8205	217	11	from	from	ADP
cjfa-8205	217	12	ν	ν	PROPN
cjfa-8205	217	13	-	-	PUNCT
cjfa-8205	217	14	svr	svr	ADJ
cjfa-8205	217	15	,	,	PUNCT
cjfa-8205	217	16	ls	ls	PROPN
cjfa-8205	217	17	-	-	PUNCT
cjfa-8205	217	18	svr	svr	PROPN
cjfa-8205	217	19	does	do	AUX
cjfa-8205	217	20	n’t	not	PART
cjfa-8205	217	21	use	use	VERB
cjfa-8205	217	22	insensitive	insensitive	ADJ
cjfa-8205	217	23	tube	tube	NOUN
cjfa-8205	217	24	and	and	CCONJ
cjfa-8205	217	25	is	be	AUX
cjfa-8205	217	26	regularized	regularize	VERB
cjfa-8205	217	27	only	only	ADV
cjfa-8205	217	28	by	by	ADP
cjfa-8205	217	29	parameter	parameter	NOUN
cjfa-8205	217	30	γ	γ	PROPN
cjfa-8205	217	31	,	,	PUNCT
cjfa-8205	217	32	so	so	ADV
cjfa-8205	217	33	is	be	AUX
cjfa-8205	217	34	not	not	PART
cjfa-8205	217	35	as	as	ADV
cjfa-8205	217	36	sparse	sparse	ADJ
cjfa-8205	217	37	as	as	ADP
cjfa-8205	217	38	ν	ν	NOUN
cjfa-8205	217	39	-	-	PUNCT
cjfa-8205	217	40	svr	svr	ADJ
cjfa-8205	217	41	model	model	NOUN
cjfa-8205	217	42	(	(	PUNCT
cjfa-8205	217	43	has	have	AUX
cjfa-8205	217	44	more	more	ADJ
cjfa-8205	217	45	support	support	NOUN
cjfa-8205	217	46	vectors	vector	NOUN
cjfa-8205	217	47	)	)	PUNCT
cjfa-8205	217	48	.	.	PUNCT
cjfa-8205	218	1	but	but	CCONJ
cjfa-8205	218	2	least	least	ADJ
cjfa-8205	218	3	squares	square	NOUN
cjfa-8205	218	4	loss	loss	NOUN
cjfa-8205	218	5	function	function	NOUN
cjfa-8205	218	6	brings	bring	VERB
cjfa-8205	218	7	other	other	ADJ
cjfa-8205	218	8	flexibility	flexibility	NOUN
cjfa-8205	218	9	benefits	benefit	NOUN
cjfa-8205	218	10	for	for	ADP
cjfa-8205	218	11	regression	regression	NOUN
cjfa-8205	218	12	problems	problem	NOUN
cjfa-8205	218	13	.	.	PUNCT
cjfa-8205	219	1	as	as	ADP
cjfa-8205	219	2	for	for	ADP
cjfa-8205	219	3	νsvr	νsvr	NOUN
cjfa-8205	219	4	model	model	NOUN
cjfa-8205	219	5	,	,	PUNCT
cjfa-8205	219	6	for	for	ADP
cjfa-8205	219	7	ls	ls	PROPN
cjfa-8205	219	8	-	-	PUNCT
cjfa-8205	219	9	svr	svr	NOUN
cjfa-8205	219	10	model	model	NOUN
cjfa-8205	219	11	gaussian	gaussian	PROPN
cjfa-8205	219	12	kernel	kernel	PROPN
cjfa-8205	219	13	functions	function	NOUN
cjfa-8205	219	14	are	be	AUX
cjfa-8205	219	15	used	use	VERB
cjfa-8205	219	16	.	.	PUNCT
cjfa-8205	220	1	in	in	ADP
cjfa-8205	220	2	this	this	DET
cjfa-8205	220	3	research	research	NOUN
cjfa-8205	220	4	ls	ls	PROPN
cjfa-8205	220	5	-	-	PUNCT
cjfa-8205	220	6	svr	svr	PROPN
cjfa-8205	220	7	code	code	NOUN
cjfa-8205	220	8	is	be	AUX
cjfa-8205	220	9	used	use	VERB
cjfa-8205	220	10	from	from	ADP
cjfa-8205	220	11	ls	ls	ADJ
cjfa-8205	220	12	-	-	PUNCT
cjfa-8205	220	13	svmlab	svmlab	NOUN
cjfa-8205	220	14	toolbox	toolbox	NOUN
cjfa-8205	220	15	presented	present	VERB
cjfa-8205	220	16	in	in	ADP
cjfa-8205	220	17	website	website	NOUN
cjfa-8205	220	18	(	(	PUNCT
cjfa-8205	220	19	see	see	VERB
cjfa-8205	220	20	pelckmans	pelckman	NOUN
cjfa-8205	220	21	et	et	PROPN
cjfa-8205	220	22	al	al	PROPN
cjfa-8205	220	23	.	.	PROPN
cjfa-8205	220	24	2002	2002	NUM
cjfa-8205	220	25	)	)	PUNCT
cjfa-8205	220	26	.	.	PUNCT
cjfa-8205	221	1	relevance	relevance	NOUN
cjfa-8205	221	2	vector	vector	NOUN
cjfa-8205	221	3	regression	regression	NOUN
cjfa-8205	221	4	model	model	NOUN
cjfa-8205	221	5	.	.	PUNCT
cjfa-8205	222	1	relevance	relevance	NOUN
cjfa-8205	222	2	vector	vector	NOUN
cjfa-8205	222	3	regression	regression	NOUN
cjfa-8205	222	4	(	(	PUNCT
cjfa-8205	222	5	tipping	tip	VERB
cjfa-8205	222	6	2001	2001	NUM
cjfa-8205	222	7	)	)	PUNCT
cjfa-8205	222	8	is	be	AUX
cjfa-8205	222	9	model	model	NOUN
cjfa-8205	222	10	that	that	PRON
cjfa-8205	222	11	has	have	VERB
cjfa-8205	222	12	same	same	ADJ
cjfa-8205	222	13	linear	linear	ADJ
cjfa-8205	222	14	functional	functional	ADJ
cjfa-8205	222	15	form	form	NOUN
cjfa-8205	222	16	as	as	ADP
cjfa-8205	222	17	support	support	NOUN
cjfa-8205	222	18	vector	vector	NOUN
cjfa-8205	222	19	regression	regression	NOUN
cjfa-8205	222	20	:	:	PUNCT
cjfa-8205	222	21	�	�	PROPN
cjfa-8205	222	22	�	�	PROPN
cjfa-8205	222	23	�	�	PROPN
cjfa-8205	222	24	�	�	PROPN
cjfa-8205	222	25	�	�	PROPN
cjfa-8205	222	26	�	�	PROPN
cjfa-8205	222	27	�	�	PROPN
cjfa-8205	222	28	�	�	PROPN
cjfa-8205	222	29	�	�	PROPN
cjfa-8205	222	30	�	�	PROPN
cjfa-8205	222	31	�	�	PROPN
cjfa-8205	222	32	�	�	PROPN
cjfa-8205	222	33	�	�	PROPN
cjfa-8205	222	34	�	�	PROPN
cjfa-8205	222	35	�	�	PROPN
cjfa-8205	222	36	�	�	PROPN
cjfa-8205	222	37	�	�	PROPN
cjfa-8205	222	38	�	�	PROPN
cjfa-8205	222	39	�	�	PROPN
cjfa-8205	222	40	�	�	PROPN
cjfa-8205	222	41	�	�	PROPN
cjfa-8205	222	42	�	�	PROPN
cjfa-8205	222	43	�	�	PROPN
cjfa-8205	222	44	�	�	PROPN
cjfa-8205	222	45	.	.	PUNCT
cjfa-8205	223	1	where	where	SCONJ
cjfa-8205	223	2	�	�	PROPN
cjfa-8205	223	3	�	�	PROPN
cjfa-8205	223	4	�	�	PROPN
cjfa-8205	223	5	�	�	PROPN
cjfa-8205	223	6	�	�	PROPN
cjfa-8205	223	7	�	�	PROPN
cjfa-8205	223	8	�	�	PROPN
cjfa-8205	223	9	is	be	AUX
cjfa-8205	223	10	defined	define	VERB
cjfa-8205	223	11	as	as	ADP
cjfa-8205	223	12	kernel	kernel	PROPN
cjfa-8205	223	13	function	function	PROPN
cjfa-8205	223	14	and	and	CCONJ
cjfa-8205	223	15	�	�	PROPN
cjfa-8205	223	16	is	be	AUX
cjfa-8205	223	17	model	model	NOUN
cjfa-8205	223	18	weight	weight	NOUN
cjfa-8205	223	19	vector	vector	NOUN
cjfa-8205	223	20	.	.	PUNCT
cjfa-8205	224	1	rvr	rvr	PROPN
cjfa-8205	224	2	uses	use	VERB
cjfa-8205	224	3	even	even	ADV
cjfa-8205	224	4	less	less	ADJ
cjfa-8205	224	5	support	support	NOUN
cjfa-8205	224	6	vectors	vector	NOUN
cjfa-8205	224	7	(	(	PUNCT
cjfa-8205	224	8	is	be	AUX
cjfa-8205	224	9	more	more	ADV
cjfa-8205	224	10	sparse	sparse	ADJ
cjfa-8205	224	11	than	than	ADP
cjfa-8205	224	12	ν	ν	NOUN
cjfa-8205	224	13	-	-	PUNCT
cjfa-8205	224	14	svr	svr	NOUN
cjfa-8205	224	15	)	)	PUNCT
cjfa-8205	224	16	,	,	PUNCT
cjfa-8205	224	17	that	that	PRON
cjfa-8205	224	18	are	be	AUX
cjfa-8205	224	19	called	call	VERB
cjfa-8205	224	20	relevance	relevance	NOUN
cjfa-8205	224	21	vectors	vector	NOUN
cjfa-8205	224	22	.	.	PUNCT
cjfa-8205	225	1	bayesian	bayesian	NOUN
cjfa-8205	225	2	inference	inference	NOUN
cjfa-8205	225	3	methodology	methodology	NOUN
cjfa-8205	225	4	is	be	AUX
cjfa-8205	225	5	used	use	VERB
cjfa-8205	225	6	during	during	ADP
cjfa-8205	225	7	rvr	rvr	PROPN
cjfa-8205	225	8	model	model	NOUN
cjfa-8205	225	9	parameter	parameter	NOUN
cjfa-8205	225	10	and	and	CCONJ
cjfa-8205	225	11	relevance	relevance	NOUN
cjfa-8205	225	12	vector	vector	NOUN
cjfa-8205	225	13	determination	determination	NOUN
cjfa-8205	225	14	.	.	PUNCT
cjfa-8205	226	1	rvr	rvr	PROPN
cjfa-8205	226	2	uses	use	VERB
cjfa-8205	226	3	em	em	NOUN
cjfa-8205	226	4	-	-	PUNCT
cjfa-8205	226	5	like	like	ADJ
cjfa-8205	226	6	(	(	PUNCT
cjfa-8205	226	7	expectation	expectation	NOUN
cjfa-8205	226	8	-	-	PUNCT
cjfa-8205	226	9	maximization	maximization	NOUN
cjfa-8205	226	10	)	)	PUNCT
cjfa-8205	226	11	learning	learn	VERB
cjfa-8205	226	12	algorithm	algorithm	NOUN
cjfa-8205	226	13	and	and	CCONJ
cjfa-8205	226	14	applies	apply	VERB
cjfa-8205	226	15	a	a	DET
cjfa-8205	226	16	priori	priori	ADJ
cjfa-8205	226	17	distributions	distribution	NOUN
cjfa-8205	226	18	(	(	PUNCT
cjfa-8205	226	19	because	because	SCONJ
cjfa-8205	226	20	of	of	ADP
cjfa-8205	226	21	bayesian	bayesian	NOUN
cjfa-8205	226	22	methodology	methodology	NOUN
cjfa-8205	226	23	)	)	PUNCT
cjfa-8205	226	24	over	over	ADP
cjfa-8205	226	25	parameters	parameter	NOUN
cjfa-8205	226	26	.	.	PUNCT
cjfa-8205	227	1	gaussian	gaussian	ADJ
cjfa-8205	227	2	kernel	kernel	PROPN
cjfa-8205	227	3	as	as	ADP
cjfa-8205	227	4	in	in	ADP
cjfa-8205	227	5	both	both	CCONJ
cjfa-8205	227	6	lssvr	lssvr	ADJ
cjfa-8205	227	7	and	and	CCONJ
cjfa-8205	227	8	ν	ν	PROPN
cjfa-8205	227	9	-	-	PUNCT
cjfa-8205	227	10	svr	svr	PROPN
cjfa-8205	227	11	cases	case	NOUN
cjfa-8205	227	12	are	be	AUX
cjfa-8205	227	13	also	also	ADV
cjfa-8205	227	14	used	use	VERB
cjfa-8205	227	15	with	with	ADP
cjfa-8205	227	16	rvr	rvr	NOUN
cjfa-8205	227	17	.	.	PUNCT
cjfa-8205	228	1	in	in	ADP
cjfa-8205	228	2	this	this	DET
cjfa-8205	228	3	research	research	NOUN
cjfa-8205	228	4	rvr	rvr	NOUN
cjfa-8205	228	5	implemented	implement	VERB
cjfa-8205	228	6	in	in	ADP
cjfa-8205	228	7	sparsebayes	sparsebaye	NOUN
cjfa-8205	228	8	package	package	NOUN
cjfa-8205	228	9	for	for	ADP
cjfa-8205	228	10	matlab	matlab	PROPN
cjfa-8205	228	11	by	by	ADP
cjfa-8205	228	12	rvr	rvr	PROPN
cjfa-8205	228	13	author	author	NOUN
cjfa-8205	228	14	himself	himself	PRON
cjfa-8205	228	15	(	(	PUNCT
cjfa-8205	228	16	see	see	VERB
cjfa-8205	228	17	tipping	tipping	NOUN
cjfa-8205	228	18	2001	2001	NUM
cjfa-8205	228	19	)	)	PUNCT
cjfa-8205	228	20	is	be	AUX
cjfa-8205	228	21	used	use	VERB
cjfa-8205	228	22	.	.	PUNCT
cjfa-8205	229	1	feed	feed	NOUN
cjfa-8205	229	2	-	-	PUNCT
cjfa-8205	229	3	forward	forward	ADV
cjfa-8205	229	4	neural	neural	ADJ
cjfa-8205	229	5	network	network	NOUN
cjfa-8205	229	6	model	model	NOUN
cjfa-8205	229	7	.	.	PUNCT
cjfa-8205	230	1	feed	feed	NOUN
cjfa-8205	230	2	-	-	PUNCT
cjfa-8205	230	3	forward	forward	ADV
cjfa-8205	230	4	neural	neural	ADJ
cjfa-8205	230	5	network	network	NOUN
cjfa-8205	230	6	(	(	PUNCT
cjfa-8205	230	7	ffnn	ffnn	NOUN
cjfa-8205	230	8	)	)	PUNCT
cjfa-8205	230	9	is	be	AUX
cjfa-8205	230	10	the	the	DET
cjfa-8205	230	11	most	most	ADV
cjfa-8205	230	12	popular	popular	ADJ
cjfa-8205	230	13	artificial	artificial	ADJ
cjfa-8205	230	14	neural	neural	ADJ
cjfa-8205	230	15	network	network	NOUN
cjfa-8205	230	16	architecture	architecture	NOUN
cjfa-8205	230	17	for	for	ADP
cjfa-8205	230	18	nonlinear	nonlinear	ADJ
cjfa-8205	230	19	function	function	NOUN
cjfa-8205	230	20	approximation	approximation	NOUN
cjfa-8205	230	21	(	(	PUNCT
cjfa-8205	230	22	classification	classification	NOUN
cjfa-8205	230	23	and	and	CCONJ
cjfa-8205	230	24	regression	regression	NOUN
cjfa-8205	230	25	)	)	PUNCT
cjfa-8205	230	26	problems	problem	NOUN
cjfa-8205	230	27	.	.	PUNCT
cjfa-8205	231	1	the	the	DET
cjfa-8205	231	2	architecture	architecture	NOUN
cjfa-8205	231	3	of	of	ADP
cjfa-8205	231	4	algorithm	algorithm	NOUN
cjfa-8205	231	5	was	be	AUX
cjfa-8205	231	6	inspired	inspire	VERB
cjfa-8205	231	7	by	by	ADP
cjfa-8205	231	8	biological	biological	ADJ
cjfa-8205	231	9	neural	neural	ADJ
cjfa-8205	231	10	networks	network	NOUN
cjfa-8205	231	11	(	(	PUNCT
cjfa-8205	231	12	brains	brain	NOUN
cjfa-8205	231	13	)	)	PUNCT
cjfa-8205	231	14	and	and	CCONJ
cjfa-8205	231	15	models	model	VERB
cjfa-8205	231	16	the	the	DET
cjfa-8205	231	17	interconnection	interconnection	NOUN
cjfa-8205	231	18	of	of	ADP
cjfa-8205	231	19	neurons	neuron	NOUN
cjfa-8205	231	20	that	that	PRON
cjfa-8205	231	21	can	can	AUX
cjfa-8205	231	22	compute	compute	VERB
cjfa-8205	231	23	values	value	NOUN
cjfa-8205	231	24	from	from	ADP
cjfa-8205	231	25	inputs	input	NOUN
cjfa-8205	231	26	by	by	ADP
cjfa-8205	231	27	feeding	feed	VERB
cjfa-8205	231	28	information	information	NOUN
cjfa-8205	231	29	through	through	ADP
cjfa-8205	231	30	the	the	DET
cjfa-8205	231	31	network	network	NOUN
cjfa-8205	231	32	.	.	PUNCT
cjfa-8205	232	1	ffnn	ffnn	NOUN
cjfa-8205	232	2	model	model	NOUN
cjfa-8205	232	3	architecture	architecture	NOUN
cjfa-8205	232	4	is	be	AUX
cjfa-8205	232	5	depicted	depict	VERB
cjfa-8205	232	6	in	in	ADP
cjfa-8205	232	7	figure	figure	NOUN
cjfa-8205	232	8	2	2	NUM
cjfa-8205	232	9	.	.	PUNCT
cjfa-8205	232	10	figure	figure	NOUN
cjfa-8205	232	11	2	2	NUM
cjfa-8205	232	12	.	.	PUNCT
cjfa-8205	233	1	an	an	DET
cjfa-8205	233	2	illustration	illustration	NOUN
cjfa-8205	233	3	of	of	ADP
cjfa-8205	233	4	feed	feed	NOUN
cjfa-8205	233	5	-	-	PUNCT
cjfa-8205	233	6	forward	forward	ADV
cjfa-8205	233	7	neural	neural	ADJ
cjfa-8205	233	8	network	network	NOUN
cjfa-8205	233	9	architecture	architecture	NOUN
cjfa-8205	233	10	in	in	ADP
cjfa-8205	233	11	this	this	DET
cjfa-8205	233	12	research	research	NOUN
cjfa-8205	233	13	,	,	PUNCT
cjfa-8205	233	14	logarithmic	logarithmic	ADJ
cjfa-8205	233	15	sigmoid	sigmoid	NOUN
cjfa-8205	233	16	transfer	transfer	NOUN
cjfa-8205	233	17	function	function	NOUN
cjfa-8205	233	18	was	be	AUX
cjfa-8205	233	19	used	use	VERB
cjfa-8205	233	20	in	in	ADP
cjfa-8205	233	21	the	the	DET
cjfa-8205	233	22	hidden	hidden	ADJ
cjfa-8205	233	23	layers	layer	NOUN
cjfa-8205	233	24	and	and	CCONJ
cjfa-8205	233	25	linear	linear	ADJ
cjfa-8205	233	26	transfer	transfer	NOUN
cjfa-8205	233	27	function	function	NOUN
cjfa-8205	233	28	in	in	ADP
cjfa-8205	233	29	the	the	DET
cjfa-8205	233	30	output	output	NOUN
cjfa-8205	233	31	layer	layer	NOUN
cjfa-8205	233	32	.	.	PUNCT
cjfa-8205	234	1	logarithmic	logarithmic	ADJ
cjfa-8205	234	2	sigmoid	sigmoid	NOUN
cjfa-8205	234	3	transfer	transfer	NOUN
cjfa-8205	234	4	function	function	NOUN
cjfa-8205	234	5	output	output	NOUN
cjfa-8205	234	6	of	of	ADP
cjfa-8205	234	7	s	s	NOUN
cjfa-8205	234	8	o	o	NOUN
cjfa-8205	234	9	u	u	NOUN
cjfa-8205	234	10	r	r	NOUN
cjfa-8205	234	11	c	c	NOUN
cjfa-8205	234	12	e	e	NOUN
cjfa-8205	234	13	:	:	PUNCT
cjfa-8205	234	14	created	create	VERB
cjfa-8205	234	15	by	by	ADP
cjfa-8205	234	16	authors	author	NOUN
cjfa-8205	234	17	.	.	PUNCT
cjfa-8205	235	1	in	in	ADP
cjfa-8205	235	2	this	this	DET
cjfa-8205	235	3	research	research	NOUN
cjfa-8205	235	4	,	,	PUNCT
cjfa-8205	235	5	logarithmic	logarithmic	ADJ
cjfa-8205	235	6	sigmoid	sigmoid	NOUN
cjfa-8205	235	7	transfer	transfer	NOUN
cjfa-8205	235	8	function	function	NOUN
cjfa-8205	235	9	was	be	AUX
cjfa-8205	235	10	used	use	VERB
cjfa-8205	235	11	in	in	ADP
cjfa-8205	235	12	the	the	DET
cjfa-8205	235	13	hidden	hidden	ADJ
cjfa-8205	235	14	layers	layer	NOUN
cjfa-8205	235	15	and	and	CCONJ
cjfa-8205	235	16	linear	linear	ADJ
cjfa-8205	235	17	transfer	transfer	NOUN
cjfa-8205	235	18	function	function	NOUN
cjfa-8205	235	19	in	in	ADP
cjfa-8205	235	20	the	the	DET
cjfa-8205	235	21	output	output	NOUN
cjfa-8205	235	22	layer	layer	NOUN
cjfa-8205	235	23	.	.	PUNCT
cjfa-8205	236	1	logarithmic	logarithmic	ADJ
cjfa-8205	236	2	sigmoid	sigmoid	NOUN
cjfa-8205	236	3	transfer	transfer	NOUN
cjfa-8205	236	4	function	function	NOUN
cjfa-8205	236	5	output	output	NOUN
cjfa-8205	236	6	of	of	ADP
cjfa-8205	236	7	input	input	NOUN
cjfa-8205	236	8	variable	variable	NOUN
cjfa-8205	236	9	is	be	AUX
cjfa-8205	236	10	equal	equal	ADJ
cjfa-8205	236	11	to	to	PART
cjfa-8205	236	12	:	:	PUNCT
cjfa-8205	236	13	input	input	NOUN
cjfa-8205	236	14	variable	variable	NOUN
cjfa-8205	236	15	is	be	AUX
cjfa-8205	236	16	equal	equal	ADJ
cjfa-8205	236	17	to	to	ADP
cjfa-8205	236	18	:	:	PUNCT
cjfa-8205	236	19	.	.	PUNCT
cjfa-8205	237	1	1	1	NUM
cjfa-8205	237	2	1log	1log	NUM
cjfa-8205	237	3			NUM
cjfa-8205	237	4			NOUN
cjfa-8205	237	5			PRON
cjfa-8205	237	6			PROPN
cjfa-8205	237	7			PROPN
cjfa-8205	237	8			NOUN
cjfa-8205	237	9			ADV
cjfa-8205	238	1			NUM
cjfa-8205	238	2	ae	ae	PUNCT
cjfa-8205	238	3	y	y	NOUN
cjfa-8205	238	4	in	in	ADP
cjfa-8205	238	5	this	this	DET
cjfa-8205	238	6	work	work	NOUN
cjfa-8205	238	7	,	,	PUNCT
cjfa-8205	238	8	levenberg	levenberg	PROPN
cjfa-8205	238	9	–	–	PUNCT
cjfa-8205	238	10	marquardt	marquardt	PROPN
cjfa-8205	238	11	(	(	PUNCT
cjfa-8205	238	12	hagan	hagan	PROPN
cjfa-8205	238	13	&	&	CCONJ
cjfa-8205	238	14	menhaj	menhaj	PROPN
cjfa-8205	238	15	1994	1994	NUM
cjfa-8205	238	16	)	)	PUNCT
cjfa-8205	238	17	backpropagation	backpropagation	NOUN
cjfa-8205	238	18	(	(	PUNCT
cjfa-8205	238	19	rumelhart	rumelhart	PROPN
cjfa-8205	238	20	,	,	PUNCT
cjfa-8205	238	21	hinton	hinton	PROPN
cjfa-8205	238	22	&	&	CCONJ
cjfa-8205	238	23	williams	williams	PROPN
cjfa-8205	238	24	1986	1986	NUM
cjfa-8205	238	25	)	)	PUNCT
cjfa-8205	238	26	training	training	NOUN
cjfa-8205	238	27	algorithm	algorithm	NOUN
cjfa-8205	238	28	was	be	AUX
cjfa-8205	238	29	used	use	VERB
cjfa-8205	238	30	for	for	ADP
cjfa-8205	238	31	feed	feed	NOUN
cjfa-8205	238	32	-	-	PUNCT
cjfa-8205	238	33	forward	forward	ADV
cjfa-8205	238	34	neural	neural	ADJ
cjfa-8205	238	35	network	network	NOUN
cjfa-8205	238	36	model	model	NOUN
cjfa-8205	238	37	training	training	NOUN
cjfa-8205	238	38	,	,	PUNCT
cjfa-8205	238	39	which	which	PRON
cjfa-8205	238	40	is	be	AUX
cjfa-8205	238	41	implemented	implement	VERB
cjfa-8205	238	42	in	in	ADP
cjfa-8205	238	43	matlab	matlab	PROPN
cjfa-8205	238	44	neural	neural	PROPN
cjfa-8205	238	45	networks	network	NOUN
cjfa-8205	238	46	toolbox	toolbox	NOUN
cjfa-8205	238	47	.	.	PUNCT
cjfa-8205	239	1	generalized	generalize	VERB
cjfa-8205	239	2	regression	regression	NOUN
cjfa-8205	239	3	neural	neural	ADJ
cjfa-8205	239	4	network	network	NOUN
cjfa-8205	239	5	model	model	NOUN
cjfa-8205	239	6	.	.	PUNCT
cjfa-8205	240	1	generalized	generalized	ADJ
cjfa-8205	240	2	regression	regression	NOUN
cjfa-8205	240	3	neural	neural	ADJ
cjfa-8205	240	4	network	network	NOUN
cjfa-8205	240	5	(	(	PUNCT
cjfa-8205	240	6	grnn	grnn	PROPN
cjfa-8205	240	7	)	)	PUNCT
cjfa-8205	240	8	first	first	ADV
cjfa-8205	240	9	proposed	propose	VERB
cjfa-8205	240	10	by	by	ADP
cjfa-8205	240	11	specht	specht	PROPN
cjfa-8205	240	12	(	(	PUNCT
cjfa-8205	240	13	1991	1991	NUM
cjfa-8205	240	14	)	)	PUNCT
cjfa-8205	240	15	is	be	AUX
cjfa-8205	240	16	special	special	ADJ
cjfa-8205	240	17	case	case	NOUN
cjfa-8205	240	18	of	of	ADP
cjfa-8205	240	19	radial	radial	ADJ
cjfa-8205	240	20	basis	basis	NOUN
cjfa-8205	240	21	function	function	NOUN
cjfa-8205	240	22	(	(	PUNCT
cjfa-8205	240	23	rbf	rbf	PROPN
cjfa-8205	240	24	)	)	PUNCT
cjfa-8205	240	25	neural	neural	ADJ
cjfa-8205	240	26	network	network	NOUN
cjfa-8205	240	27	.	.	PUNCT
cjfa-8205	241	1	grnn	grnn	PROPN
cjfa-8205	241	2	does	do	AUX
cjfa-8205	241	3	not	not	PART
cjfa-8205	241	4	require	require	VERB
cjfa-8205	241	5	an	an	DET
cjfa-8205	241	6	iterative	iterative	NOUN
cjfa-8205	241	7	training	training	NOUN
cjfa-8205	241	8	procedure	procedure	NOUN
cjfa-8205	241	9	(	(	PUNCT
cjfa-8205	241	10	error	error	NOUN
cjfa-8205	241	11	back	back	NOUN
cjfa-8205	241	12	propagation	propagation	NOUN
cjfa-8205	241	13	as	as	ADP
cjfa-8205	241	14	with	with	ADP
cjfa-8205	241	15	other	other	ADJ
cjfa-8205	241	16	neural	neural	ADJ
cjfa-8205	241	17	network	network	NOUN
cjfa-8205	241	18	architectures	architecture	NOUN
cjfa-8205	241	19	)	)	PUNCT
cjfa-8205	241	20	.	.	PUNCT
cjfa-8205	242	1	grnn	grnn	NOUN
cjfa-8205	242	2	training	training	NOUN
cjfa-8205	242	3	procedure	procedure	NOUN
cjfa-8205	242	4	requires	require	VERB
cjfa-8205	242	5	specification	specification	NOUN
cjfa-8205	242	6	of	of	ADP
cjfa-8205	242	7	rbf	rbf	PROPN
cjfa-8205	242	8	spread	spread	PROPN
cjfa-8205	242	9	parameter	parameter	NOUN
cjfa-8205	242	10	.	.	PUNCT
cjfa-8205	243	1	it	it	PRON
cjfa-8205	243	2	uses	use	VERB
cjfa-8205	243	3	those	those	DET
cjfa-8205	243	4	functions	function	NOUN
cjfa-8205	243	5	to	to	PART
cjfa-8205	243	6	cover	cover	VERB
cjfa-8205	243	7	input	input	NOUN
cjfa-8205	243	8	space	space	NOUN
cjfa-8205	243	9	and	and	CCONJ
cjfa-8205	243	10	approximates	approximate	VERB
cjfa-8205	243	11	function	function	NOUN
cjfa-8205	243	12	as	as	ADP
cjfa-8205	243	13	weighted	weight	VERB
cjfa-8205	243	14	linear	linear	ADJ
cjfa-8205	243	15	combination	combination	NOUN
cjfa-8205	243	16	of	of	ADP
cjfa-8205	243	17	radial	radial	ADJ
cjfa-8205	243	18	basis	basis	NOUN
cjfa-8205	243	19	functions	function	NOUN
cjfa-8205	243	20	.	.	PUNCT
cjfa-8205	244	1	number	number	NOUN
cjfa-8205	244	2	of	of	ADP
cjfa-8205	244	3	rbf	rbf	PROPN
cjfa-8205	244	4	function	function	PROPN
cjfa-8205	244	5	is	be	AUX
cjfa-8205	244	6	equal	equal	ADJ
cjfa-8205	244	7	to	to	ADP
cjfa-8205	244	8	number	number	NOUN
cjfa-8205	244	9	of	of	ADP
cjfa-8205	244	10	observations	observation	NOUN
cjfa-8205	244	11	(	(	PUNCT
cjfa-8205	244	12	number	number	NOUN
cjfa-8205	244	13	of	of	ADP
cjfa-8205	244	14	days	day	NOUN
cjfa-8205	244	15	in	in	ADP
cjfa-8205	244	16	historical	historical	ADJ
cjfa-8205	244	17	daily	daily	ADJ
cjfa-8205	244	18	cash	cash	NOUN
cjfa-8205	244	19	flow	flow	NOUN
cjfa-8205	244	20	)	)	PUNCT
cjfa-8205	244	21	.	.	PUNCT
cjfa-8205	245	1	each	each	DET
cjfa-8205	245	2	rbf	rbf	PROPN
cjfa-8205	245	3	is	be	AUX
cjfa-8205	245	4	formed	form	VERB
cjfa-8205	245	5	for	for	ADP
cjfa-8205	245	6	each	each	DET
cjfa-8205	245	7	data	datum	NOUN
cjfa-8205	245	8	point	point	NOUN
cjfa-8205	245	9	vector	vector	NOUN
cjfa-8205	245	10	that	that	PRON
cjfa-8205	245	11	is	be	AUX
cjfa-8205	245	12	a	a	DET
cjfa-8205	245	13	center	center	NOUN
cjfa-8205	245	14	of	of	ADP
cjfa-8205	245	15	rbf	rbf	PROPN
cjfa-8205	245	16	.	.	PUNCT
cjfa-8205	246	1	rbf	rbf	PROPN
cjfa-8205	246	2	transfer	transfer	NOUN
cjfa-8205	246	3	function	function	NOUN
cjfa-8205	246	4	values	value	NOUN
cjfa-8205	246	5	are	be	AUX
cjfa-8205	246	6	calculated	calculate	VERB
cjfa-8205	246	7	according	accord	VERB
cjfa-8205	246	8	to	to	ADP
cjfa-8205	246	9	euclidean	euclidean	ADJ
cjfa-8205	246	10	distance	distance	NOUN
cjfa-8205	246	11	from	from	ADP
cjfa-8205	246	12	the	the	DET
cjfa-8205	246	13	central	central	ADJ
cjfa-8205	246	14	point	point	NOUN
cjfa-8205	246	15	to	to	ADP
cjfa-8205	246	16	input	input	NOUN
cjfa-8205	246	17	vector	vector	NOUN
cjfa-8205	246	18	.	.	PUNCT
cjfa-8205	247	1	in	in	ADP
cjfa-8205	247	2	this	this	DET
cjfa-8205	247	3	research	research	NOUN
cjfa-8205	247	4	grnn	grnn	NOUN
cjfa-8205	247	5	implemented	implement	VERB
cjfa-8205	247	6	in	in	ADP
cjfa-8205	247	7	matlab	matlab	PROPN
cjfa-8205	247	8	neural	neural	ADJ
cjfa-8205	247	9	network	network	NOUN
cjfa-8205	247	10	toolbox	toolbox	NOUN
cjfa-8205	247	11	is	be	AUX
cjfa-8205	247	12	used	use	VERB
cjfa-8205	247	13	.	.	PUNCT
cjfa-8205	248	1	adaptive	adaptive	ADJ
cjfa-8205	248	2	neuro	neuro	NOUN
cjfa-8205	248	3	-	-	PUNCT
cjfa-8205	248	4	fuzzy	fuzzy	ADJ
cjfa-8205	248	5	inference	inference	NOUN
cjfa-8205	248	6	system	system	NOUN
cjfa-8205	248	7	model	model	NOUN
cjfa-8205	248	8	.	.	PUNCT
cjfa-8205	249	1	adaptive	adaptive	ADJ
cjfa-8205	249	2	neuro	neuro	NOUN
cjfa-8205	249	3	-	-	PUNCT
cjfa-8205	249	4	fuzzy	fuzzy	ADJ
cjfa-8205	249	5	inference	inference	NOUN
cjfa-8205	249	6	system	system	NOUN
cjfa-8205	249	7	(	(	PUNCT
cjfa-8205	249	8	anfis	anfi	VERB
cjfa-8205	249	9	)	)	PUNCT
cjfa-8205	249	10	(	(	PUNCT
cjfa-8205	249	11	jang	jang	PROPN
cjfa-8205	249	12	1993	1993	NUM
cjfa-8205	249	13	)	)	PUNCT
cjfa-8205	249	14	combines	combine	VERB
cjfa-8205	249	15	fuzzy	fuzzy	ADJ
cjfa-8205	249	16	inference	inference	NOUN
cjfa-8205	249	17	system	system	NOUN
cjfa-8205	249	18	and	and	CCONJ
cjfa-8205	249	19	neural	neural	ADJ
cjfa-8205	249	20	network	network	NOUN
cjfa-8205	249	21	features	feature	NOUN
cjfa-8205	249	22	:	:	PUNCT
cjfa-8205	249	23	neural	neural	ADJ
cjfa-8205	249	24	network	network	NOUN
cjfa-8205	249	25	training	training	NOUN
cjfa-8205	249	26	capabilities	capability	NOUN
cjfa-8205	249	27	(	(	PUNCT
cjfa-8205	249	28	backpropagation	backpropagation	NOUN
cjfa-8205	249	29	)	)	PUNCT
cjfa-8205	249	30	with	with	ADP
cjfa-8205	249	31	fuzzy	fuzzy	ADJ
cjfa-8205	249	32	input	input	NOUN
cjfa-8205	249	33	and	and	CCONJ
cjfa-8205	249	34	output	output	NOUN
cjfa-8205	249	35	formation	formation	NOUN
cjfa-8205	249	36	(	(	PUNCT
cjfa-8205	249	37	takagi	takagi	NOUN
cjfa-8205	249	38	–	–	PUNCT
cjfa-8205	249	39	sugeno	sugeno	ADJ
cjfa-8205	249	40	fuzzy	fuzzy	ADJ
cjfa-8205	249	41	inference	inference	NOUN
cjfa-8205	249	42	system	system	NOUN
cjfa-8205	249	43	)	)	PUNCT
cjfa-8205	249	44	.	.	PUNCT
cjfa-8205	250	1	an	an	DET
cjfa-8205	250	2	architecture	architecture	NOUN
cjfa-8205	250	3	of	of	ADP
cjfa-8205	250	4	anfis	anfis	ADJ
cjfa-8205	250	5	model	model	NOUN
cjfa-8205	250	6	that	that	PRON
cjfa-8205	250	7	has	have	VERB
cjfa-8205	250	8	two	two	NUM
cjfa-8205	250	9	membership	membership	NOUN
cjfa-8205	250	10	functions	function	NOUN
cjfa-8205	250	11	is	be	AUX
cjfa-8205	250	12	depicted	depict	VERB
cjfa-8205	250	13	in	in	ADP
cjfa-8205	250	14	figure	figure	NOUN
cjfa-8205	250	15	3	3	NUM
cjfa-8205	250	16	.	.	PUNCT
cjfa-8205	251	1	this	this	DET
cjfa-8205	251	2	type	type	NOUN
cjfa-8205	251	3	of	of	ADP
cjfa-8205	251	4	model	model	NOUN
cjfa-8205	251	5	architecture	architecture	NOUN
cjfa-8205	251	6	has	have	VERB
cjfa-8205	251	7	5	5	NUM
cjfa-8205	251	8	layers	layer	NOUN
cjfa-8205	251	9	:	:	PUNCT
cjfa-8205	251	10	fuzzy	fuzzy	ADJ
cjfa-8205	251	11	layer	layer	NOUN
cjfa-8205	251	12	(	(	PUNCT
cjfa-8205	251	13	1	1	NUM
cjfa-8205	251	14	)	)	PUNCT
cjfa-8205	251	15	,	,	PUNCT
cjfa-8205	251	16	product	product	NOUN
cjfa-8205	251	17	layer	layer	NOUN
cjfa-8205	251	18	(	(	PUNCT
cjfa-8205	251	19	2	2	NUM
cjfa-8205	251	20	)	)	PUNCT
cjfa-8205	251	21	,	,	PUNCT
cjfa-8205	251	22	normalization	normalization	NOUN
cjfa-8205	251	23	layer	layer	NOUN
cjfa-8205	251	24	(	(	PUNCT
cjfa-8205	251	25	3	3	NUM
cjfa-8205	251	26	)	)	PUNCT
cjfa-8205	251	27	,	,	PUNCT
cjfa-8205	251	28	defuzzification	defuzzification	NOUN
cjfa-8205	251	29	layer	layer	NOUN
cjfa-8205	251	30	(	(	PUNCT
cjfa-8205	251	31	4	4	NUM
cjfa-8205	251	32	)	)	PUNCT
cjfa-8205	251	33	and	and	CCONJ
cjfa-8205	251	34	summation	summation	NOUN
cjfa-8205	251	35	layer	layer	NOUN
cjfa-8205	251	36	(	(	PUNCT
cjfa-8205	251	37	5	5	NUM
cjfa-8205	251	38	)	)	PUNCT
cjfa-8205	251	39	.	.	PUNCT
cjfa-8205	252	1	figure	figure	VERB
cjfa-8205	252	2	3	3	NUM
cjfa-8205	252	3	.	.	PUNCT
cjfa-8205	252	4	illustration	illustration	NOUN
cjfa-8205	252	5	of	of	ADP
cjfa-8205	252	6	anfis	anfis	ADJ
cjfa-8205	252	7	model	model	NOUN
cjfa-8205	252	8	architecture	architecture	NOUN
cjfa-8205	252	9	with	with	ADP
cjfa-8205	252	10	two	two	NUM
cjfa-8205	252	11	membership	membership	NOUN
cjfa-8205	252	12	functions	function	NOUN
cjfa-8205	252	13	1	1	NUM
cjfa-8205	252	14	layer	layer	NOUN
cjfa-8205	252	15	2	2	NUM
cjfa-8205	252	16	layer	layer	NOUN
cjfa-8205	252	17	3	3	NUM
cjfa-8205	252	18	layer	layer	NOUN
cjfa-8205	252	19	4	4	NUM
cjfa-8205	252	20	layer	layer	NOUN
cjfa-8205	252	21	5	5	NUM
cjfa-8205	252	22	layer	layer	NOUN
cjfa-8205	252	23	1w	1w	NUM
cjfa-8205	252	24	1w	1w	NUM
cjfa-8205	252	25	11fw	11fw	ADJ
cjfa-8205	252	26	x	x	SYM
cjfa-8205	253	1			X
cjfa-8205	253	2	f	f	NOUN
cjfa-8205	253	3	y	y	PROPN
cjfa-8205	253	4	2w	2w	NUM
cjfa-8205	253	5	2w	2w	NUM
cjfa-8205	253	6	22fw	22fw	ADJ
cjfa-8205	253	7	a1	a1	NOUN
cjfa-8205	253	8	a2	a2	PROPN
cjfa-8205	253	9	b1	b1	NOUN
cjfa-8205	253	10	b2	b2	NOUN
cjfa-8205	253	11	for	for	ADP
cjfa-8205	253	12	a	a	DET
cjfa-8205	253	13	1st	1st	ADJ
cjfa-8205	253	14	order	order	NOUN
cjfa-8205	253	15	of	of	ADP
cjfa-8205	253	16	sugeno	sugeno	ADJ
cjfa-8205	253	17	fuzzy	fuzzy	ADJ
cjfa-8205	253	18	model	model	NOUN
cjfa-8205	253	19	,	,	PUNCT
cjfa-8205	253	20	a	a	DET
cjfa-8205	253	21	typical	typical	ADJ
cjfa-8205	253	22	if	if	SCONJ
cjfa-8205	253	23	-	-	PUNCT
cjfa-8205	253	24	then	then	ADV
cjfa-8205	253	25	rule	rule	NOUN
cjfa-8205	253	26	set	set	NOUN
cjfa-8205	253	27	can	can	AUX
cjfa-8205	253	28	be	be	AUX
cjfa-8205	253	29	expressed	express	VERB
cjfa-8205	253	30	as	as	ADP
cjfa-8205	253	31	:	:	PUNCT
cjfa-8205	253	32	in	in	ADP
cjfa-8205	253	33	this	this	DET
cjfa-8205	253	34	work	work	NOUN
cjfa-8205	253	35	,	,	PUNCT
cjfa-8205	253	36	levenberg	levenberg	PROPN
cjfa-8205	253	37	–	–	PUNCT
cjfa-8205	253	38	marquardt	marquardt	PROPN
cjfa-8205	253	39	(	(	PUNCT
cjfa-8205	253	40	hagan	hagan	PROPN
cjfa-8205	253	41	&	&	CCONJ
cjfa-8205	253	42	menhaj	menhaj	PROPN
cjfa-8205	253	43	1994	1994	NUM
cjfa-8205	253	44	)	)	PUNCT
cjfa-8205	253	45	backpropagation	backpropagation	NOUN
cjfa-8205	253	46	(	(	PUNCT
cjfa-8205	253	47	rumelhart	rumelhart	PROPN
cjfa-8205	253	48	,	,	PUNCT
cjfa-8205	253	49	hinton	hinton	PROPN
cjfa-8205	253	50	&	&	CCONJ
cjfa-8205	253	51	williams	williams	PROPN
cjfa-8205	253	52	1986	1986	NUM
cjfa-8205	253	53	)	)	PUNCT
cjfa-8205	253	54	training	training	NOUN
cjfa-8205	253	55	algorithm	algorithm	NOUN
cjfa-8205	253	56	was	be	AUX
cjfa-8205	253	57	used	use	VERB
cjfa-8205	253	58	for	for	ADP
cjfa-8205	253	59	feed	feed	NOUN
cjfa-8205	253	60	-	-	PUNCT
cjfa-8205	253	61	forward	forward	ADV
cjfa-8205	253	62	neural	neural	ADJ
cjfa-8205	253	63	network	network	NOUN
cjfa-8205	253	64	model	model	NOUN
cjfa-8205	253	65	training	training	NOUN
cjfa-8205	253	66	,	,	PUNCT
cjfa-8205	253	67	which	which	PRON
cjfa-8205	253	68	is	be	AUX
cjfa-8205	253	69	implemented	implement	VERB
cjfa-8205	253	70	in	in	ADP
cjfa-8205	253	71	matlab	matlab	PROPN
cjfa-8205	253	72	neural	neural	PROPN
cjfa-8205	253	73	networks	network	NOUN
cjfa-8205	253	74	toolbox	toolbox	NOUN
cjfa-8205	253	75	.	.	PUNCT
cjfa-8205	254	1	generalized	generalize	VERB
cjfa-8205	254	2	regression	regression	NOUN
cjfa-8205	254	3	neural	neural	ADJ
cjfa-8205	254	4	network	network	NOUN
cjfa-8205	254	5	model	model	NOUN
cjfa-8205	254	6	.	.	PUNCT
cjfa-8205	255	1	generalized	generalized	ADJ
cjfa-8205	255	2	regression	regression	NOUN
cjfa-8205	255	3	neural	neural	ADJ
cjfa-8205	255	4	network	network	NOUN
cjfa-8205	255	5	(	(	PUNCT
cjfa-8205	255	6	grnn	grnn	PROPN
cjfa-8205	255	7	)	)	PUNCT
cjfa-8205	255	8	first	first	ADV
cjfa-8205	255	9	proposed	propose	VERB
cjfa-8205	255	10	by	by	ADP
cjfa-8205	255	11	specht	specht	PROPN
cjfa-8205	255	12	(	(	PUNCT
cjfa-8205	255	13	1991	1991	NUM
cjfa-8205	255	14	)	)	PUNCT
cjfa-8205	255	15	is	be	AUX
cjfa-8205	255	16	special	special	ADJ
cjfa-8205	255	17	case	case	NOUN
cjfa-8205	255	18	of	of	ADP
cjfa-8205	255	19	radial	radial	ADJ
cjfa-8205	255	20	basis	basis	NOUN
cjfa-8205	255	21	function	function	NOUN
cjfa-8205	255	22	(	(	PUNCT
cjfa-8205	255	23	rbf	rbf	PROPN
cjfa-8205	255	24	)	)	PUNCT
cjfa-8205	255	25	neural	neural	ADJ
cjfa-8205	255	26	network	network	NOUN
cjfa-8205	255	27	.	.	PUNCT
cjfa-8205	256	1	grnn	grnn	PROPN
cjfa-8205	256	2	does	do	AUX
cjfa-8205	256	3	not	not	PART
cjfa-8205	256	4	require	require	VERB
cjfa-8205	256	5	an	an	DET
cjfa-8205	256	6	iterative	iterative	NOUN
cjfa-8205	256	7	training	training	NOUN
cjfa-8205	256	8	procedure	procedure	NOUN
cjfa-8205	256	9	(	(	PUNCT
cjfa-8205	256	10	error	error	NOUN
cjfa-8205	256	11	back	back	NOUN
cjfa-8205	256	12	propagation	propagation	NOUN
cjfa-8205	256	13	as	as	ADP
cjfa-8205	256	14	with	with	ADP
cjfa-8205	256	15	other	other	ADJ
cjfa-8205	256	16	neural	neural	ADJ
cjfa-8205	256	17	network	network	NOUN
cjfa-8205	256	18	architectures	architecture	NOUN
cjfa-8205	256	19	)	)	PUNCT
cjfa-8205	256	20	.	.	PUNCT
cjfa-8205	257	1	grnn	grnn	NOUN
cjfa-8205	257	2	training	training	NOUN
cjfa-8205	257	3	procedure	procedure	NOUN
cjfa-8205	257	4	requires	require	VERB
cjfa-8205	257	5	specification	specification	NOUN
cjfa-8205	257	6	of	of	ADP
cjfa-8205	257	7	rbf	rbf	PROPN
cjfa-8205	257	8	spread	spread	PROPN
cjfa-8205	257	9	parameter	parameter	NOUN
cjfa-8205	257	10	.	.	PUNCT
cjfa-8205	258	1	it	it	PRON
cjfa-8205	258	2	uses	use	VERB
cjfa-8205	258	3	those	those	DET
cjfa-8205	258	4	functions	function	NOUN
cjfa-8205	258	5	to	to	PART
cjfa-8205	258	6	cover	cover	VERB
cjfa-8205	258	7	input	input	NOUN
cjfa-8205	258	8	space	space	NOUN
cjfa-8205	258	9	and	and	CCONJ
cjfa-8205	258	10	approximates	approximate	VERB
cjfa-8205	258	11	function	function	NOUN
cjfa-8205	258	12	as	as	ADP
cjfa-8205	258	13	weighted	weight	VERB
cjfa-8205	258	14	linear	linear	ADJ
cjfa-8205	258	15	combination	combination	NOUN
cjfa-8205	258	16	of	of	ADP
cjfa-8205	258	17	radial	radial	ADJ
cjfa-8205	258	18	basis	basis	NOUN
cjfa-8205	258	19	functions	function	NOUN
cjfa-8205	258	20	.	.	PUNCT
cjfa-8205	259	1	number	number	NOUN
cjfa-8205	259	2	of	of	ADP
cjfa-8205	259	3	rbf	rbf	PROPN
cjfa-8205	259	4	function	function	PROPN
cjfa-8205	259	5	is	be	AUX
cjfa-8205	259	6	equal	equal	ADJ
cjfa-8205	259	7	to	to	ADP
cjfa-8205	259	8	number	number	NOUN
cjfa-8205	259	9	of	of	ADP
cjfa-8205	259	10	observations	observation	NOUN
cjfa-8205	259	11	(	(	PUNCT
cjfa-8205	259	12	number	number	NOUN
cjfa-8205	259	13	of	of	ADP
cjfa-8205	259	14	days	day	NOUN
cjfa-8205	259	15	in	in	ADP
cjfa-8205	259	16	historical	historical	ADJ
cjfa-8205	259	17	daily	daily	ADJ
cjfa-8205	259	18	cash	cash	NOUN
cjfa-8205	259	19	flow	flow	NOUN
cjfa-8205	259	20	)	)	PUNCT
cjfa-8205	259	21	.	.	PUNCT
cjfa-8205	260	1	each	each	DET
cjfa-8205	260	2	rbf	rbf	PROPN
cjfa-8205	260	3	is	be	AUX
cjfa-8205	260	4	formed	form	VERB
cjfa-8205	260	5	for	for	ADP
cjfa-8205	260	6	each	each	DET
cjfa-8205	260	7	data	datum	NOUN
cjfa-8205	260	8	point	point	NOUN
cjfa-8205	260	9	vector	vector	NOUN
cjfa-8205	260	10	that	that	PRON
cjfa-8205	260	11	is	be	AUX
cjfa-8205	260	12	a	a	DET
cjfa-8205	260	13	center	center	NOUN
cjfa-8205	260	14	of	of	ADP
cjfa-8205	260	15	rbf	rbf	PROPN
cjfa-8205	260	16	.	.	PUNCT
cjfa-8205	261	1	rbf	rbf	PROPN
cjfa-8205	261	2	transfer	transfer	NOUN
cjfa-8205	261	3	function	function	NOUN
cjfa-8205	261	4	values	value	NOUN
cjfa-8205	261	5	are	be	AUX
cjfa-8205	261	6	calculated	calculate	VERB
cjfa-8205	261	7	according	accord	VERB
cjfa-8205	261	8	to	to	ADP
cjfa-8205	261	9	euclidean	euclidean	ADJ
cjfa-8205	261	10	distance	distance	NOUN
cjfa-8205	261	11	from	from	ADP
cjfa-8205	261	12	the	the	DET
cjfa-8205	261	13	central	central	ADJ
cjfa-8205	261	14	point	point	NOUN
cjfa-8205	261	15	to	to	ADP
cjfa-8205	261	16	input	input	NOUN
cjfa-8205	261	17	vector	vector	NOUN
cjfa-8205	261	18	.	.	PUNCT
cjfa-8205	262	1	in	in	ADP
cjfa-8205	262	2	this	this	DET
cjfa-8205	262	3	research	research	NOUN
cjfa-8205	262	4	grnn	grnn	NOUN
cjfa-8205	262	5	implemented	implement	VERB
cjfa-8205	262	6	in	in	ADP
cjfa-8205	262	7	mat	mat	NOUN
cjfa-8205	262	8	 	 	SPACE
cjfa-8205	262	9	lab	lab	NOUN
cjfa-8205	262	10	neural	neural	ADJ
cjfa-8205	262	11	network	network	NOUN
cjfa-8205	262	12	toolbox	toolbox	NOUN
cjfa-8205	262	13	is	be	AUX
cjfa-8205	262	14	used	use	VERB
cjfa-8205	262	15	.	.	PUNCT
cjfa-8205	263	1	evaluation	evaluation	NOUN
cjfa-8205	263	2	of	of	ADP
cjfa-8205	263	3	atm	atm	ADJ
cjfa-8205	263	4	cash	cash	NOUN
cjfa-8205	263	5	demand	demand	NOUN
cjfa-8205	263	6	process	process	NOUN
cjfa-8205	263	7	factors	factor	NOUN
cjfa-8205	263	8	…	…	PUNCT
cjfa-8205	263	9	217	217	NUM
cjfa-8205	263	10	adaptive	adaptive	ADJ
cjfa-8205	263	11	neuro	neuro	NOUN
cjfa-8205	263	12	-	-	PUNCT
cjfa-8205	263	13	fuzzy	fuzzy	ADJ
cjfa-8205	263	14	inference	inference	NOUN
cjfa-8205	263	15	system	system	NOUN
cjfa-8205	263	16	model	model	NOUN
cjfa-8205	263	17	.	.	PUNCT
cjfa-8205	264	1	adaptive	adaptive	ADJ
cjfa-8205	264	2	neuro	neuro	NOUN
cjfa-8205	264	3	-	-	PUNCT
cjfa-8205	264	4	fuzzy	fuzzy	ADJ
cjfa-8205	264	5	inference	inference	NOUN
cjfa-8205	264	6	system	system	NOUN
cjfa-8205	264	7	(	(	PUNCT
cjfa-8205	264	8	anfis	anfi	VERB
cjfa-8205	264	9	)	)	PUNCT
cjfa-8205	264	10	(	(	PUNCT
cjfa-8205	264	11	jang	jang	PROPN
cjfa-8205	264	12	1993	1993	NUM
cjfa-8205	264	13	)	)	PUNCT
cjfa-8205	264	14	combines	combine	VERB
cjfa-8205	264	15	fuzzy	fuzzy	ADJ
cjfa-8205	264	16	inference	inference	NOUN
cjfa-8205	264	17	system	system	NOUN
cjfa-8205	264	18	and	and	CCONJ
cjfa-8205	264	19	neural	neural	ADJ
cjfa-8205	264	20	network	network	NOUN
cjfa-8205	264	21	features	feature	NOUN
cjfa-8205	264	22	:	:	PUNCT
cjfa-8205	264	23	neural	neural	ADJ
cjfa-8205	264	24	network	network	NOUN
cjfa-8205	264	25	training	training	NOUN
cjfa-8205	264	26	capabilities	capability	NOUN
cjfa-8205	264	27	(	(	PUNCT
cjfa-8205	264	28	backpropagation	backpropagation	NOUN
cjfa-8205	264	29	)	)	PUNCT
cjfa-8205	264	30	with	with	ADP
cjfa-8205	264	31	fuzzy	fuzzy	ADJ
cjfa-8205	264	32	input	input	NOUN
cjfa-8205	264	33	and	and	CCONJ
cjfa-8205	264	34	output	output	NOUN
cjfa-8205	264	35	formation	formation	NOUN
cjfa-8205	264	36	(	(	PUNCT
cjfa-8205	264	37	takagi	takagi	NOUN
cjfa-8205	264	38	–	–	PUNCT
cjfa-8205	264	39	sugeno	sugeno	ADJ
cjfa-8205	264	40	fuzzy	fuzzy	ADJ
cjfa-8205	264	41	inference	inference	NOUN
cjfa-8205	264	42	system	system	NOUN
cjfa-8205	264	43	)	)	PUNCT
cjfa-8205	264	44	.	.	PUNCT
cjfa-8205	265	1	an	an	DET
cjfa-8205	265	2	architecture	architecture	NOUN
cjfa-8205	265	3	of	of	ADP
cjfa-8205	265	4	anfis	anfis	ADJ
cjfa-8205	265	5	model	model	NOUN
cjfa-8205	265	6	that	that	PRON
cjfa-8205	265	7	has	have	VERB
cjfa-8205	265	8	two	two	NUM
cjfa-8205	265	9	membership	membership	NOUN
cjfa-8205	265	10	functions	function	NOUN
cjfa-8205	265	11	is	be	AUX
cjfa-8205	265	12	depicted	depict	VERB
cjfa-8205	265	13	in	in	ADP
cjfa-8205	265	14	figure	figure	NOUN
cjfa-8205	265	15	3	3	NUM
cjfa-8205	265	16	.	.	PUNCT
cjfa-8205	266	1	this	this	DET
cjfa-8205	266	2	type	type	NOUN
cjfa-8205	266	3	of	of	ADP
cjfa-8205	266	4	model	model	NOUN
cjfa-8205	266	5	architecture	architecture	NOUN
cjfa-8205	266	6	has	have	VERB
cjfa-8205	266	7	5	5	NUM
cjfa-8205	266	8	layers	layer	NOUN
cjfa-8205	266	9	:	:	PUNCT
cjfa-8205	266	10	fuzzy	fuzzy	ADJ
cjfa-8205	266	11	layer	layer	NOUN
cjfa-8205	266	12	(	(	PUNCT
cjfa-8205	266	13	1	1	NUM
cjfa-8205	266	14	)	)	PUNCT
cjfa-8205	266	15	,	,	PUNCT
cjfa-8205	266	16	product	product	NOUN
cjfa-8205	266	17	layer	layer	NOUN
cjfa-8205	266	18	(	(	PUNCT
cjfa-8205	266	19	2	2	NUM
cjfa-8205	266	20	)	)	PUNCT
cjfa-8205	266	21	,	,	PUNCT
cjfa-8205	266	22	normalization	normalization	NOUN
cjfa-8205	266	23	layer	layer	NOUN
cjfa-8205	266	24	(	(	PUNCT
cjfa-8205	266	25	3	3	NUM
cjfa-8205	266	26	)	)	PUNCT
cjfa-8205	266	27	,	,	PUNCT
cjfa-8205	266	28	defuzzification	defuzzification	NOUN
cjfa-8205	266	29	layer	layer	NOUN
cjfa-8205	266	30	(	(	PUNCT
cjfa-8205	266	31	4	4	NUM
cjfa-8205	266	32	)	)	PUNCT
cjfa-8205	266	33	and	and	CCONJ
cjfa-8205	266	34	summation	summation	NOUN
cjfa-8205	266	35	layer	layer	NOUN
cjfa-8205	266	36	(	(	PUNCT
cjfa-8205	266	37	5	5	NUM
cjfa-8205	266	38	)	)	PUNCT
cjfa-8205	266	39	.	.	PUNCT
cjfa-8205	267	1	figure	figure	VERB
cjfa-8205	267	2	3	3	NUM
cjfa-8205	267	3	.	.	PUNCT
cjfa-8205	267	4	illustration	illustration	NOUN
cjfa-8205	267	5	of	of	ADP
cjfa-8205	267	6	anfis	anfis	ADJ
cjfa-8205	267	7	model	model	NOUN
cjfa-8205	267	8	architecture	architecture	NOUN
cjfa-8205	267	9	with	with	ADP
cjfa-8205	267	10	two	two	NUM
cjfa-8205	267	11	membership	membership	NOUN
cjfa-8205	267	12	functions	function	NOUN
cjfa-8205	267	13	input	input	NOUN
cjfa-8205	267	14	variable	variable	NOUN
cjfa-8205	267	15	is	be	AUX
cjfa-8205	267	16	equal	equal	ADJ
cjfa-8205	267	17	to	to	ADP
cjfa-8205	267	18	:	:	PUNCT
cjfa-8205	267	19	.	.	PUNCT
cjfa-8205	268	1	1	1	NUM
cjfa-8205	268	2	1log	1log	NUM
cjfa-8205	268	3			NUM
cjfa-8205	268	4			NOUN
cjfa-8205	268	5			PRON
cjfa-8205	268	6			PROPN
cjfa-8205	268	7			PROPN
cjfa-8205	268	8			NOUN
cjfa-8205	268	9			ADV
cjfa-8205	269	1			NUM
cjfa-8205	269	2	ae	ae	PUNCT
cjfa-8205	269	3	y	y	NOUN
cjfa-8205	269	4	in	in	ADP
cjfa-8205	269	5	this	this	DET
cjfa-8205	269	6	work	work	NOUN
cjfa-8205	269	7	,	,	PUNCT
cjfa-8205	269	8	levenberg	levenberg	PROPN
cjfa-8205	269	9	–	–	PUNCT
cjfa-8205	269	10	marquardt	marquardt	PROPN
cjfa-8205	269	11	(	(	PUNCT
cjfa-8205	269	12	hagan	hagan	PROPN
cjfa-8205	269	13	&	&	CCONJ
cjfa-8205	269	14	menhaj	menhaj	PROPN
cjfa-8205	269	15	1994	1994	NUM
cjfa-8205	269	16	)	)	PUNCT
cjfa-8205	269	17	backpropagation	backpropagation	NOUN
cjfa-8205	269	18	(	(	PUNCT
cjfa-8205	269	19	rumelhart	rumelhart	PROPN
cjfa-8205	269	20	,	,	PUNCT
cjfa-8205	269	21	hinton	hinton	PROPN
cjfa-8205	269	22	&	&	CCONJ
cjfa-8205	269	23	williams	williams	PROPN
cjfa-8205	269	24	1986	1986	NUM
cjfa-8205	269	25	)	)	PUNCT
cjfa-8205	269	26	training	training	NOUN
cjfa-8205	269	27	algorithm	algorithm	NOUN
cjfa-8205	269	28	was	be	AUX
cjfa-8205	269	29	used	use	VERB
cjfa-8205	269	30	for	for	ADP
cjfa-8205	269	31	feed	feed	NOUN
cjfa-8205	269	32	-	-	PUNCT
cjfa-8205	269	33	forward	forward	ADV
cjfa-8205	269	34	neural	neural	ADJ
cjfa-8205	269	35	network	network	NOUN
cjfa-8205	269	36	model	model	NOUN
cjfa-8205	269	37	training	training	NOUN
cjfa-8205	269	38	,	,	PUNCT
cjfa-8205	269	39	which	which	PRON
cjfa-8205	269	40	is	be	AUX
cjfa-8205	269	41	implemented	implement	VERB
cjfa-8205	269	42	in	in	ADP
cjfa-8205	269	43	matlab	matlab	PROPN
cjfa-8205	269	44	neural	neural	PROPN
cjfa-8205	269	45	networks	network	NOUN
cjfa-8205	269	46	toolbox	toolbox	NOUN
cjfa-8205	269	47	.	.	PUNCT
cjfa-8205	270	1	generalized	generalize	VERB
cjfa-8205	270	2	regression	regression	NOUN
cjfa-8205	270	3	neural	neural	ADJ
cjfa-8205	270	4	network	network	NOUN
cjfa-8205	270	5	model	model	NOUN
cjfa-8205	270	6	.	.	PUNCT
cjfa-8205	271	1	generalized	generalized	ADJ
cjfa-8205	271	2	regression	regression	NOUN
cjfa-8205	271	3	neural	neural	ADJ
cjfa-8205	271	4	network	network	NOUN
cjfa-8205	271	5	(	(	PUNCT
cjfa-8205	271	6	grnn	grnn	PROPN
cjfa-8205	271	7	)	)	PUNCT
cjfa-8205	271	8	first	first	ADV
cjfa-8205	271	9	proposed	propose	VERB
cjfa-8205	271	10	by	by	ADP
cjfa-8205	271	11	specht	specht	PROPN
cjfa-8205	271	12	(	(	PUNCT
cjfa-8205	271	13	1991	1991	NUM
cjfa-8205	271	14	)	)	PUNCT
cjfa-8205	271	15	is	be	AUX
cjfa-8205	271	16	special	special	ADJ
cjfa-8205	271	17	case	case	NOUN
cjfa-8205	271	18	of	of	ADP
cjfa-8205	271	19	radial	radial	ADJ
cjfa-8205	271	20	basis	basis	NOUN
cjfa-8205	271	21	function	function	NOUN
cjfa-8205	271	22	(	(	PUNCT
cjfa-8205	271	23	rbf	rbf	PROPN
cjfa-8205	271	24	)	)	PUNCT
cjfa-8205	271	25	neural	neural	ADJ
cjfa-8205	271	26	network	network	NOUN
cjfa-8205	271	27	.	.	PUNCT
cjfa-8205	272	1	grnn	grnn	PROPN
cjfa-8205	272	2	does	do	AUX
cjfa-8205	272	3	not	not	PART
cjfa-8205	272	4	require	require	VERB
cjfa-8205	272	5	an	an	DET
cjfa-8205	272	6	iterative	iterative	NOUN
cjfa-8205	272	7	training	training	NOUN
cjfa-8205	272	8	procedure	procedure	NOUN
cjfa-8205	272	9	(	(	PUNCT
cjfa-8205	272	10	error	error	NOUN
cjfa-8205	272	11	back	back	NOUN
cjfa-8205	272	12	propagation	propagation	NOUN
cjfa-8205	272	13	as	as	ADP
cjfa-8205	272	14	with	with	ADP
cjfa-8205	272	15	other	other	ADJ
cjfa-8205	272	16	neural	neural	ADJ
cjfa-8205	272	17	network	network	NOUN
cjfa-8205	272	18	architectures	architecture	NOUN
cjfa-8205	272	19	)	)	PUNCT
cjfa-8205	272	20	.	.	PUNCT
cjfa-8205	273	1	grnn	grnn	NOUN
cjfa-8205	273	2	training	training	NOUN
cjfa-8205	273	3	procedure	procedure	NOUN
cjfa-8205	273	4	requires	require	VERB
cjfa-8205	273	5	specification	specification	NOUN
cjfa-8205	273	6	of	of	ADP
cjfa-8205	273	7	rbf	rbf	PROPN
cjfa-8205	273	8	spread	spread	PROPN
cjfa-8205	273	9	parameter	parameter	NOUN
cjfa-8205	273	10	.	.	PUNCT
cjfa-8205	274	1	it	it	PRON
cjfa-8205	274	2	uses	use	VERB
cjfa-8205	274	3	those	those	DET
cjfa-8205	274	4	functions	function	NOUN
cjfa-8205	274	5	to	to	PART
cjfa-8205	274	6	cover	cover	VERB
cjfa-8205	274	7	input	input	NOUN
cjfa-8205	274	8	space	space	NOUN
cjfa-8205	274	9	and	and	CCONJ
cjfa-8205	274	10	approximates	approximate	VERB
cjfa-8205	274	11	function	function	NOUN
cjfa-8205	274	12	as	as	ADP
cjfa-8205	274	13	weighted	weight	VERB
cjfa-8205	274	14	linear	linear	ADJ
cjfa-8205	274	15	combination	combination	NOUN
cjfa-8205	274	16	of	of	ADP
cjfa-8205	274	17	radial	radial	ADJ
cjfa-8205	274	18	basis	basis	NOUN
cjfa-8205	274	19	functions	function	NOUN
cjfa-8205	274	20	.	.	PUNCT
cjfa-8205	275	1	number	number	NOUN
cjfa-8205	275	2	of	of	ADP
cjfa-8205	275	3	rbf	rbf	PROPN
cjfa-8205	275	4	function	function	PROPN
cjfa-8205	275	5	is	be	AUX
cjfa-8205	275	6	equal	equal	ADJ
cjfa-8205	275	7	to	to	ADP
cjfa-8205	275	8	number	number	NOUN
cjfa-8205	275	9	of	of	ADP
cjfa-8205	275	10	observations	observation	NOUN
cjfa-8205	275	11	(	(	PUNCT
cjfa-8205	275	12	number	number	NOUN
cjfa-8205	275	13	of	of	ADP
cjfa-8205	275	14	days	day	NOUN
cjfa-8205	275	15	in	in	ADP
cjfa-8205	275	16	historical	historical	ADJ
cjfa-8205	275	17	daily	daily	ADJ
cjfa-8205	275	18	cash	cash	NOUN
cjfa-8205	275	19	flow	flow	NOUN
cjfa-8205	275	20	)	)	PUNCT
cjfa-8205	275	21	.	.	PUNCT
cjfa-8205	276	1	each	each	DET
cjfa-8205	276	2	rbf	rbf	PROPN
cjfa-8205	276	3	is	be	AUX
cjfa-8205	276	4	formed	form	VERB
cjfa-8205	276	5	for	for	ADP
cjfa-8205	276	6	each	each	DET
cjfa-8205	276	7	data	datum	NOUN
cjfa-8205	276	8	point	point	NOUN
cjfa-8205	276	9	vector	vector	NOUN
cjfa-8205	276	10	that	that	PRON
cjfa-8205	276	11	is	be	AUX
cjfa-8205	276	12	a	a	DET
cjfa-8205	276	13	center	center	NOUN
cjfa-8205	276	14	of	of	ADP
cjfa-8205	276	15	rbf	rbf	PROPN
cjfa-8205	276	16	.	.	PUNCT
cjfa-8205	277	1	rbf	rbf	PROPN
cjfa-8205	277	2	transfer	transfer	NOUN
cjfa-8205	277	3	function	function	NOUN
cjfa-8205	277	4	values	value	NOUN
cjfa-8205	277	5	are	be	AUX
cjfa-8205	277	6	calculated	calculate	VERB
cjfa-8205	277	7	according	accord	VERB
cjfa-8205	277	8	to	to	ADP
cjfa-8205	277	9	euclidean	euclidean	ADJ
cjfa-8205	277	10	distance	distance	NOUN
cjfa-8205	277	11	from	from	ADP
cjfa-8205	277	12	the	the	DET
cjfa-8205	277	13	central	central	ADJ
cjfa-8205	277	14	point	point	NOUN
cjfa-8205	277	15	to	to	ADP
cjfa-8205	277	16	input	input	NOUN
cjfa-8205	277	17	vector	vector	NOUN
cjfa-8205	277	18	.	.	PUNCT
cjfa-8205	278	1	in	in	ADP
cjfa-8205	278	2	this	this	DET
cjfa-8205	278	3	research	research	NOUN
cjfa-8205	278	4	grnn	grnn	NOUN
cjfa-8205	278	5	implemented	implement	VERB
cjfa-8205	278	6	in	in	ADP
cjfa-8205	278	7	matlab	matlab	PROPN
cjfa-8205	278	8	neural	neural	ADJ
cjfa-8205	278	9	network	network	NOUN
cjfa-8205	278	10	toolbox	toolbox	NOUN
cjfa-8205	278	11	is	be	AUX
cjfa-8205	278	12	used	use	VERB
cjfa-8205	278	13	.	.	PUNCT
cjfa-8205	279	1	adaptive	adaptive	ADJ
cjfa-8205	279	2	neuro	neuro	NOUN
cjfa-8205	279	3	-	-	PUNCT
cjfa-8205	279	4	fuzzy	fuzzy	ADJ
cjfa-8205	279	5	inference	inference	NOUN
cjfa-8205	279	6	system	system	NOUN
cjfa-8205	279	7	model	model	NOUN
cjfa-8205	279	8	.	.	PUNCT
cjfa-8205	280	1	adaptive	adaptive	ADJ
cjfa-8205	280	2	neuro	neuro	NOUN
cjfa-8205	280	3	-	-	PUNCT
cjfa-8205	280	4	fuzzy	fuzzy	ADJ
cjfa-8205	280	5	inference	inference	NOUN
cjfa-8205	280	6	system	system	NOUN
cjfa-8205	280	7	(	(	PUNCT
cjfa-8205	280	8	anfis	anfi	VERB
cjfa-8205	280	9	)	)	PUNCT
cjfa-8205	280	10	(	(	PUNCT
cjfa-8205	280	11	jang	jang	PROPN
cjfa-8205	280	12	1993	1993	NUM
cjfa-8205	280	13	)	)	PUNCT
cjfa-8205	280	14	combines	combine	VERB
cjfa-8205	280	15	fuzzy	fuzzy	ADJ
cjfa-8205	280	16	inference	inference	NOUN
cjfa-8205	280	17	system	system	NOUN
cjfa-8205	280	18	and	and	CCONJ
cjfa-8205	280	19	neural	neural	ADJ
cjfa-8205	280	20	network	network	NOUN
cjfa-8205	280	21	features	feature	NOUN
cjfa-8205	280	22	:	:	PUNCT
cjfa-8205	280	23	neural	neural	ADJ
cjfa-8205	280	24	network	network	NOUN
cjfa-8205	280	25	training	training	NOUN
cjfa-8205	280	26	capabilities	capability	NOUN
cjfa-8205	280	27	(	(	PUNCT
cjfa-8205	280	28	backpropagation	backpropagation	NOUN
cjfa-8205	280	29	)	)	PUNCT
cjfa-8205	280	30	with	with	ADP
cjfa-8205	280	31	fuzzy	fuzzy	ADJ
cjfa-8205	280	32	input	input	NOUN
cjfa-8205	280	33	and	and	CCONJ
cjfa-8205	280	34	output	output	NOUN
cjfa-8205	280	35	formation	formation	NOUN
cjfa-8205	280	36	(	(	PUNCT
cjfa-8205	280	37	takagi	takagi	NOUN
cjfa-8205	280	38	–	–	PUNCT
cjfa-8205	280	39	sugeno	sugeno	ADJ
cjfa-8205	280	40	fuzzy	fuzzy	ADJ
cjfa-8205	280	41	inference	inference	NOUN
cjfa-8205	280	42	system	system	NOUN
cjfa-8205	280	43	)	)	PUNCT
cjfa-8205	280	44	.	.	PUNCT
cjfa-8205	281	1	an	an	DET
cjfa-8205	281	2	architecture	architecture	NOUN
cjfa-8205	281	3	of	of	ADP
cjfa-8205	281	4	anfis	anfis	ADJ
cjfa-8205	281	5	model	model	NOUN
cjfa-8205	281	6	that	that	PRON
cjfa-8205	281	7	has	have	VERB
cjfa-8205	281	8	two	two	NUM
cjfa-8205	281	9	membership	membership	NOUN
cjfa-8205	281	10	functions	function	NOUN
cjfa-8205	281	11	is	be	AUX
cjfa-8205	281	12	depicted	depict	VERB
cjfa-8205	281	13	in	in	ADP
cjfa-8205	281	14	figure	figure	NOUN
cjfa-8205	281	15	3	3	NUM
cjfa-8205	281	16	.	.	PUNCT
cjfa-8205	282	1	this	this	DET
cjfa-8205	282	2	type	type	NOUN
cjfa-8205	282	3	of	of	ADP
cjfa-8205	282	4	model	model	NOUN
cjfa-8205	282	5	architecture	architecture	NOUN
cjfa-8205	282	6	has	have	VERB
cjfa-8205	282	7	5	5	NUM
cjfa-8205	282	8	layers	layer	NOUN
cjfa-8205	282	9	:	:	PUNCT
cjfa-8205	282	10	fuzzy	fuzzy	ADJ
cjfa-8205	282	11	layer	layer	NOUN
cjfa-8205	282	12	(	(	PUNCT
cjfa-8205	282	13	1	1	NUM
cjfa-8205	282	14	)	)	PUNCT
cjfa-8205	282	15	,	,	PUNCT
cjfa-8205	282	16	product	product	NOUN
cjfa-8205	282	17	layer	layer	NOUN
cjfa-8205	282	18	(	(	PUNCT
cjfa-8205	282	19	2	2	NUM
cjfa-8205	282	20	)	)	PUNCT
cjfa-8205	282	21	,	,	PUNCT
cjfa-8205	282	22	normalization	normalization	NOUN
cjfa-8205	282	23	layer	layer	NOUN
cjfa-8205	282	24	(	(	PUNCT
cjfa-8205	282	25	3	3	NUM
cjfa-8205	282	26	)	)	PUNCT
cjfa-8205	282	27	,	,	PUNCT
cjfa-8205	282	28	defuzzification	defuzzification	NOUN
cjfa-8205	282	29	layer	layer	NOUN
cjfa-8205	282	30	(	(	PUNCT
cjfa-8205	282	31	4	4	NUM
cjfa-8205	282	32	)	)	PUNCT
cjfa-8205	282	33	and	and	CCONJ
cjfa-8205	282	34	summation	summation	NOUN
cjfa-8205	282	35	layer	layer	NOUN
cjfa-8205	282	36	(	(	PUNCT
cjfa-8205	282	37	5	5	NUM
cjfa-8205	282	38	)	)	PUNCT
cjfa-8205	282	39	.	.	PUNCT
cjfa-8205	283	1	figure	figure	VERB
cjfa-8205	283	2	3	3	NUM
cjfa-8205	283	3	.	.	PUNCT
cjfa-8205	283	4	illustration	illustration	NOUN
cjfa-8205	283	5	of	of	ADP
cjfa-8205	283	6	anfis	anfis	ADJ
cjfa-8205	283	7	model	model	NOUN
cjfa-8205	283	8	architecture	architecture	NOUN
cjfa-8205	283	9	with	with	ADP
cjfa-8205	283	10	two	two	NUM
cjfa-8205	283	11	membership	membership	NOUN
cjfa-8205	283	12	functions	function	NOUN
cjfa-8205	283	13	1	1	NUM
cjfa-8205	283	14	layer	layer	NOUN
cjfa-8205	283	15	2	2	NUM
cjfa-8205	283	16	layer	layer	NOUN
cjfa-8205	283	17	3	3	NUM
cjfa-8205	283	18	layer	layer	NOUN
cjfa-8205	283	19	4	4	NUM
cjfa-8205	283	20	layer	layer	NOUN
cjfa-8205	283	21	5	5	NUM
cjfa-8205	283	22	layer	layer	NOUN
cjfa-8205	283	23	1w	1w	NUM
cjfa-8205	283	24	1w	1w	NUM
cjfa-8205	283	25	11fw	11fw	ADJ
cjfa-8205	283	26	x	x	SYM
cjfa-8205	284	1			X
cjfa-8205	284	2	f	f	NOUN
cjfa-8205	284	3	y	y	PROPN
cjfa-8205	284	4	2w	2w	NUM
cjfa-8205	284	5	2w	2w	NUM
cjfa-8205	284	6	22fw	22fw	ADJ
cjfa-8205	284	7	a1	a1	NOUN
cjfa-8205	284	8	a2	a2	PROPN
cjfa-8205	284	9	b1	b1	NOUN
cjfa-8205	284	10	b2	b2	NOUN
cjfa-8205	284	11	for	for	ADP
cjfa-8205	284	12	a	a	DET
cjfa-8205	284	13	1st	1st	ADJ
cjfa-8205	284	14	order	order	NOUN
cjfa-8205	284	15	of	of	ADP
cjfa-8205	284	16	sugeno	sugeno	ADJ
cjfa-8205	284	17	fuzzy	fuzzy	ADJ
cjfa-8205	284	18	model	model	NOUN
cjfa-8205	284	19	,	,	PUNCT
cjfa-8205	284	20	a	a	DET
cjfa-8205	284	21	typical	typical	ADJ
cjfa-8205	284	22	if	if	SCONJ
cjfa-8205	284	23	-	-	PUNCT
cjfa-8205	284	24	then	then	ADV
cjfa-8205	284	25	rule	rule	NOUN
cjfa-8205	284	26	set	set	NOUN
cjfa-8205	284	27	can	can	AUX
cjfa-8205	284	28	be	be	AUX
cjfa-8205	284	29	expressed	express	VERB
cjfa-8205	284	30	as	as	ADP
cjfa-8205	284	31	:	:	PUNCT
cjfa-8205	284	32	s	s	PART
cjfa-8205	284	33	o	o	X
cjfa-8205	284	34	u	u	NOUN
cjfa-8205	284	35	r	r	NOUN
cjfa-8205	284	36	c	c	NOUN
cjfa-8205	284	37	e	e	NOUN
cjfa-8205	284	38	:	:	PUNCT
cjfa-8205	284	39	created	create	VERB
cjfa-8205	284	40	by	by	ADP
cjfa-8205	284	41	authors	author	NOUN
cjfa-8205	284	42	.	.	PUNCT
cjfa-8205	285	1	for	for	ADP
cjfa-8205	285	2	a	a	DET
cjfa-8205	285	3	1st	1st	ADJ
cjfa-8205	285	4	order	order	NOUN
cjfa-8205	285	5	of	of	ADP
cjfa-8205	285	6	sugeno	sugeno	ADJ
cjfa-8205	285	7	fuzzy	fuzzy	ADJ
cjfa-8205	285	8	model	model	NOUN
cjfa-8205	285	9	,	,	PUNCT
cjfa-8205	285	10	a	a	DET
cjfa-8205	285	11	typical	typical	ADJ
cjfa-8205	285	12	if	if	SCONJ
cjfa-8205	285	13	-	-	PUNCT
cjfa-8205	285	14	then	then	ADV
cjfa-8205	285	15	rule	rule	NOUN
cjfa-8205	285	16	set	set	NOUN
cjfa-8205	285	17	can	can	AUX
cjfa-8205	285	18	be	be	AUX
cjfa-8205	285	19	expressed	express	VERB
cjfa-8205	285	20	as	as	ADP
cjfa-8205	285	21	:	:	PUNCT
cjfa-8205	285	22	1	1	NUM
cjfa-8205	285	23	)	)	PUNCT
cjfa-8205	285	24	if	if	SCONJ
cjfa-8205	285	25	x	x	PRON
cjfa-8205	285	26	is	be	AUX
cjfa-8205	285	27	a1	a1	NOUN
cjfa-8205	285	28	and	and	CCONJ
cjfa-8205	285	29	y	y	PROPN
cjfa-8205	285	30	is	be	AUX
cjfa-8205	285	31	b1	b1	NOUN
cjfa-8205	285	32	then	then	ADV
cjfa-8205	285	33	f1	f1	NOUN
cjfa-8205	285	34	=	=	PUNCT
cjfa-8205	285	35	p1x	p1x	NOUN
cjfa-8205	285	36	+	+	CCONJ
cjfa-8205	285	37	q1y	q1y	PROPN
cjfa-8205	285	38	+	+	CCONJ
cjfa-8205	285	39	r1	r1	NOUN
cjfa-8205	285	40	;	;	PUNCT
cjfa-8205	285	41	2	2	X
cjfa-8205	285	42	)	)	PUNCT
cjfa-8205	285	43	if	if	SCONJ
cjfa-8205	285	44	x	x	PRON
cjfa-8205	285	45	is	be	AUX
cjfa-8205	285	46	a2	a2	PROPN
cjfa-8205	285	47	and	and	CCONJ
cjfa-8205	285	48	y	y	PROPN
cjfa-8205	285	49	is	be	AUX
cjfa-8205	285	50	b2	b2	NOUN
cjfa-8205	285	51	then	then	ADV
cjfa-8205	285	52	f2	f2	ADV
cjfa-8205	285	53	=	=	SYM
cjfa-8205	285	54	p2x	p2x	PROPN
cjfa-8205	285	55	+	+	CCONJ
cjfa-8205	285	56	q2y	q2y	PROPN
cjfa-8205	285	57	+	+	NUM
cjfa-8205	285	58	r2	r2	NOUN
cjfa-8205	285	59	.	.	PUNCT
cjfa-8205	286	1	further	far	ADV
cjfa-8205	286	2	each	each	PRON
cjfa-8205	286	3	of	of	ADP
cjfa-8205	286	4	five	five	NUM
cjfa-8205	286	5	layer	layer	NOUN
cjfa-8205	286	6	functionality	functionality	NOUN
cjfa-8205	286	7	is	be	AUX
cjfa-8205	286	8	shortly	shortly	ADV
cjfa-8205	286	9	explained	explain	VERB
cjfa-8205	286	10	:	:	PUNCT
cjfa-8205	286	11	■	■	PUNCT
cjfa-8205	286	12	1st	1st	ADJ
cjfa-8205	286	13	layer	layer	NOUN
cjfa-8205	286	14	.	.	PUNCT
cjfa-8205	287	1	forms	form	NOUN
cjfa-8205	287	2	output	output	NOUN
cjfa-8205	287	3	,	,	PUNCT
cjfa-8205	287	4	which	which	PRON
cjfa-8205	287	5	determines	determine	VERB
cjfa-8205	287	6	membership	membership	NOUN
cjfa-8205	287	7	degree	degree	NOUN
cjfa-8205	287	8	in	in	ADP
cjfa-8205	287	9	each	each	PRON
cjfa-8205	287	10	of	of	ADP
cjfa-8205	287	11	membership	membership	NOUN
cjfa-8205	287	12	functions	function	NOUN
cjfa-8205	287	13	(	(	PUNCT
cjfa-8205	287	14	µa1	µa1	NOUN
cjfa-8205	287	15	,	,	PUNCT
cjfa-8205	287	16	µa2	µa2	ADV
cjfa-8205	287	17	,	,	PUNCT
cjfa-8205	287	18	µb1	µb1	VERB
cjfa-8205	287	19	,	,	PUNCT
cjfa-8205	287	20	µb2	µb2	NOUN
cjfa-8205	287	21	):	):	PUNCT
cjfa-8205	287	22	for	for	ADP
cjfa-8205	287	23	a	a	DET
cjfa-8205	287	24	1st	1st	ADJ
cjfa-8205	287	25	order	order	NOUN
cjfa-8205	287	26	of	of	ADP
cjfa-8205	287	27	sugeno	sugeno	ADJ
cjfa-8205	287	28	fuzzy	fuzzy	ADJ
cjfa-8205	287	29	model	model	NOUN
cjfa-8205	287	30	,	,	PUNCT
cjfa-8205	287	31	a	a	DET
cjfa-8205	287	32	typical	typical	ADJ
cjfa-8205	287	33	if	if	SCONJ
cjfa-8205	287	34	-	-	PUNCT
cjfa-8205	287	35	then	then	ADV
cjfa-8205	287	36	rule	rule	NOUN
cjfa-8205	287	37	set	set	NOUN
cjfa-8205	287	38	can	can	AUX
cjfa-8205	287	39	be	be	AUX
cjfa-8205	287	40	expressed	express	VERB
cjfa-8205	287	41	as	as	ADP
cjfa-8205	287	42	:	:	PUNCT
cjfa-8205	287	43	1	1	NUM
cjfa-8205	287	44	)	)	PUNCT
cjfa-8205	287	45	if	if	SCONJ
cjfa-8205	287	46	x	x	PRON
cjfa-8205	287	47	is	be	AUX
cjfa-8205	287	48	a1	a1	NOUN
cjfa-8205	287	49	and	and	CCONJ
cjfa-8205	287	50	y	y	PROPN
cjfa-8205	287	51	is	be	AUX
cjfa-8205	287	52	b1	b1	NOUN
cjfa-8205	287	53	then	then	ADV
cjfa-8205	287	54	f1	f1	NOUN
cjfa-8205	287	55	=	=	PUNCT
cjfa-8205	287	56	p1x	p1x	NOUN
cjfa-8205	287	57	+	+	CCONJ
cjfa-8205	287	58	q1y	q1y	PROPN
cjfa-8205	287	59	+	+	CCONJ
cjfa-8205	287	60	r1	r1	NOUN
cjfa-8205	287	61	;	;	PUNCT
cjfa-8205	287	62	2	2	X
cjfa-8205	287	63	)	)	PUNCT
cjfa-8205	287	64	if	if	SCONJ
cjfa-8205	287	65	x	x	PRON
cjfa-8205	287	66	is	be	AUX
cjfa-8205	287	67	a2	a2	PROPN
cjfa-8205	287	68	and	and	CCONJ
cjfa-8205	287	69	y	y	PROPN
cjfa-8205	287	70	is	be	AUX
cjfa-8205	287	71	b2	b2	NOUN
cjfa-8205	287	72	then	then	ADV
cjfa-8205	287	73	f2	f2	ADV
cjfa-8205	287	74	=	=	SYM
cjfa-8205	287	75	p2x	p2x	PROPN
cjfa-8205	287	76	+	+	CCONJ
cjfa-8205	287	77	q2y	q2y	PROPN
cjfa-8205	287	78	+	+	NUM
cjfa-8205	287	79	r2	r2	NOUN
cjfa-8205	287	80	.	.	PUNCT
cjfa-8205	288	1	further	far	ADV
cjfa-8205	288	2	each	each	PRON
cjfa-8205	288	3	of	of	ADP
cjfa-8205	288	4	five	five	NUM
cjfa-8205	288	5	layer	layer	NOUN
cjfa-8205	288	6	functionality	functionality	NOUN
cjfa-8205	288	7	is	be	AUX
cjfa-8205	288	8	shortly	shortly	ADV
cjfa-8205	288	9	explained	explain	VERB
cjfa-8205	288	10	:	:	PUNCT
cjfa-8205	288	11			NOUN
cjfa-8205	288	12	1st	1st	ADJ
cjfa-8205	288	13	layer	layer	NOUN
cjfa-8205	288	14	.	.	PUNCT
cjfa-8205	289	1	forms	form	NOUN
cjfa-8205	289	2	output	output	NOUN
cjfa-8205	289	3	,	,	PUNCT
cjfa-8205	289	4	which	which	PRON
cjfa-8205	289	5	determines	determine	VERB
cjfa-8205	289	6	membership	membership	NOUN
cjfa-8205	289	7	degree	degree	NOUN
cjfa-8205	289	8	in	in	ADP
cjfa-8205	289	9	each	each	PRON
cjfa-8205	289	10	of	of	ADP
cjfa-8205	289	11	membership	membership	NOUN
cjfa-8205	289	12	functions	function	NOUN
cjfa-8205	289	13	(	(	PUNCT
cjfa-8205	289	14	µa1	µa1	NOUN
cjfa-8205	289	15	,	,	PUNCT
cjfa-8205	289	16	µa2	µa2	ADV
cjfa-8205	289	17	,	,	PUNCT
cjfa-8205	289	18	µb1	µb1	VERB
cjfa-8205	289	19	,	,	PUNCT
cjfa-8205	289	20	µb2	µb2	NOUN
cjfa-8205	289	21	):	):	PUNCT
cjfa-8205	289	22	�	�	PROPN
cjfa-8205	289	23	�	�	PROPN
cjfa-8205	289	24	,	,	PUNCT
cjfa-8205	289	25	�	�	PROPN
cjfa-8205	289	26	=	=	SYM
cjfa-8205	289	27	�	�	PROPN
cjfa-8205	289	28	�	�	PROPN
cjfa-8205	289	29	�	�	PROPN
cjfa-8205	289	30	�	�	PROPN
cjfa-8205	289	31	�	�	PROPN
cjfa-8205	289	32	�	�	PROPN
cjfa-8205	289	33	,	,	PUNCT
cjfa-8205	289	34	�	�	PROPN
cjfa-8205	289	35	=	=	SYM
cjfa-8205	289	36	�	�	PROPN
cjfa-8205	289	37	,	,	PUNCT
cjfa-8205	289	38	�	�	PROPN
cjfa-8205	289	39	,	,	PUNCT
cjfa-8205	289	40	�	�	PROPN
cjfa-8205	289	41	�	�	PROPN
cjfa-8205	289	42	,	,	PUNCT
cjfa-8205	289	43	�	�	PROPN
cjfa-8205	289	44	=	=	SYM
cjfa-8205	289	45	�	�	PROPN
cjfa-8205	289	46	�	�	PROPN
cjfa-8205	289	47	�	�	PROPN
cjfa-8205	289	48	�	�	PROPN
cjfa-8205	289	49	�	�	PROPN
cjfa-8205	289	50	�	�	PROPN
cjfa-8205	289	51	�	�	PROPN
cjfa-8205	289	52	�	�	PROPN
cjfa-8205	289	53	,	,	PUNCT
cjfa-8205	289	54	�	�	PROPN
cjfa-8205	289	55	=	=	SYM
cjfa-8205	289	56	�	�	PROPN
cjfa-8205	289	57	,	,	PUNCT
cjfa-8205	289	58	�	�	PROPN
cjfa-8205	289	59	.	.	PUNCT
cjfa-8205	289	60			PROPN
cjfa-8205	290	1	2nd	2nd	ADJ
cjfa-8205	290	2	layer	layer	NOUN
cjfa-8205	290	3	.	.	PUNCT
cjfa-8205	291	1	in	in	ADP
cjfa-8205	291	2	this	this	DET
cjfa-8205	291	3	layer	layer	NOUN
cjfa-8205	291	4	each	each	DET
cjfa-8205	291	5	node	node	NOUN
cjfa-8205	291	6	is	be	AUX
cjfa-8205	291	7	fixed	fix	VERB
cjfa-8205	291	8	and	and	CCONJ
cjfa-8205	291	9	represents	represent	VERB
cjfa-8205	291	10	weight	weight	NOUN
cjfa-8205	291	11	of	of	ADP
cjfa-8205	291	12	particular	particular	ADJ
cjfa-8205	291	13	rule	rule	NOUN
cjfa-8205	291	14	.	.	PUNCT
cjfa-8205	292	1	in	in	ADP
cjfa-8205	292	2	this	this	DET
cjfa-8205	292	3	node	node	NOUN
cjfa-8205	292	4	and	and	CCONJ
cjfa-8205	292	5	operation	operation	NOUN
cjfa-8205	292	6	is	be	AUX
cjfa-8205	292	7	performed	perform	VERB
cjfa-8205	292	8	,	,	PUNCT
cjfa-8205	292	9	which	which	PRON
cjfa-8205	292	10	is	be	AUX
cjfa-8205	292	11	product	product	NOUN
cjfa-8205	292	12	of	of	ADP
cjfa-8205	292	13	inputs	input	NOUN
cjfa-8205	292	14	:	:	PUNCT
cjfa-8205	292	15	�	�	PROPN
cjfa-8205	292	16	�	�	PROPN
cjfa-8205	292	17	,	,	PUNCT
cjfa-8205	292	18	�	�	PROPN
cjfa-8205	292	19	=	=	SYM
cjfa-8205	292	20	�	�	PROPN
cjfa-8205	292	21	�	�	PROPN
cjfa-8205	292	22	=	=	SYM
cjfa-8205	292	23	�	�	PROPN
cjfa-8205	292	24	�	�	PROPN
cjfa-8205	292	25	�	�	PROPN
cjfa-8205	292	26	�	�	PROPN
cjfa-8205	292	27	�	�	PROPN
cjfa-8205	292	28	�	�	PROPN
cjfa-8205	292	29	�	�	PROPN
cjfa-8205	292	30	�	�	PROPN
cjfa-8205	292	31	�	�	PROPN
cjfa-8205	292	32	�	�	PROPN
cjfa-8205	292	33	�	�	PROPN
cjfa-8205	292	34	�	�	PROPN
cjfa-8205	292	35	�	�	PROPN
cjfa-8205	292	36	,	,	PUNCT
cjfa-8205	292	37	�	�	PROPN
cjfa-8205	292	38	=	=	SYM
cjfa-8205	292	39	�	�	PROPN
cjfa-8205	292	40	,	,	PUNCT
cjfa-8205	292	41	�	�	PROPN
cjfa-8205	292	42	.	.	PUNCT
cjfa-8205	293	1			X
cjfa-8205	294	1	3rd	3rd	ADJ
cjfa-8205	294	2	layer	layer	NOUN
cjfa-8205	294	3	.	.	PUNCT
cjfa-8205	295	1	each	each	DET
cjfa-8205	295	2	node	node	NOUN
cjfa-8205	295	3	of	of	ADP
cjfa-8205	295	4	this	this	DET
cjfa-8205	295	5	layer	layer	NOUN
cjfa-8205	295	6	is	be	AUX
cjfa-8205	295	7	also	also	ADV
cjfa-8205	295	8	fixed	fix	VERB
cjfa-8205	295	9	and	and	CCONJ
cjfa-8205	295	10	calculates	calculate	NOUN
cjfa-8205	295	11	normalized	normalize	VERB
cjfa-8205	295	12	rule	rule	NOUN
cjfa-8205	295	13	excitation	excitation	NOUN
cjfa-8205	295	14	degree	degree	NOUN
cjfa-8205	295	15	:	:	PUNCT
cjfa-8205	295	16	�	�	PROPN
cjfa-8205	295	17	�	�	PROPN
cjfa-8205	295	18	,	,	PUNCT
cjfa-8205	295	19	�	�	PROPN
cjfa-8205	295	20	=	=	SYM
cjfa-8205	295	21	�	�	PROPN
cjfa-8205	295	22	�	�	PROPN
cjfa-8205	295	23	�	�	PROPN
cjfa-8205	295	24	=	=	SYM
cjfa-8205	295	25	�	�	PROPN
cjfa-8205	295	26	�	�	PROPN
cjfa-8205	295	27	�	�	PROPN
cjfa-8205	295	28	�	�	PROPN
cjfa-8205	295	29	�	�	PROPN
cjfa-8205	295	30	�	�	PROPN
cjfa-8205	295	31	�	�	PROPN
cjfa-8205	295	32	,	,	PUNCT
cjfa-8205	295	33	�	�	PROPN
cjfa-8205	295	34	=	=	SYM
cjfa-8205	295	35	�	�	PROPN
cjfa-8205	295	36	,	,	PUNCT
cjfa-8205	295	37	�	�	PROPN
cjfa-8205	295	38	.	.	PUNCT
cjfa-8205	296	1			PUNCT
cjfa-8205	296	2	4th	4th	ADJ
cjfa-8205	296	3	layer	layer	NOUN
cjfa-8205	296	4	.	.	PUNCT
cjfa-8205	297	1	this	this	DET
cjfa-8205	297	2	layer	layer	NOUN
cjfa-8205	297	3	is	be	AUX
cjfa-8205	297	4	not	not	PART
cjfa-8205	297	5	fixed	fix	VERB
cjfa-8205	297	6	as	as	ADP
cjfa-8205	297	7	other	other	ADJ
cjfa-8205	297	8	and	and	CCONJ
cjfa-8205	297	9	parameters	parameter	NOUN
cjfa-8205	297	10	(	(	PUNCT
cjfa-8205	297	11	pi	pi	NOUN
cjfa-8205	297	12	,	,	PUNCT
cjfa-8205	297	13	qi	qi	PROPN
cjfa-8205	297	14	,	,	PUNCT
cjfa-8205	297	15	ri	ri	PROPN
cjfa-8205	297	16	)	)	PUNCT
cjfa-8205	297	17	are	be	AUX
cjfa-8205	297	18	estimated	estimate	VERB
cjfa-8205	297	19	during	during	ADP
cjfa-8205	297	20	training	training	NOUN
cjfa-8205	297	21	process	process	NOUN
cjfa-8205	297	22	.	.	PUNCT
cjfa-8205	298	1	output	output	NOUN
cjfa-8205	298	2	of	of	ADP
cjfa-8205	298	3	nodes	node	NOUN
cjfa-8205	298	4	are	be	AUX
cjfa-8205	298	5	calculated	calculate	VERB
cjfa-8205	298	6	as	as	ADP
cjfa-8205	298	7	:	:	PUNCT
cjfa-8205	298	8	�	�	PROPN
cjfa-8205	298	9	�	�	PROPN
cjfa-8205	298	10	,	,	PUNCT
cjfa-8205	298	11	�	�	PROPN
cjfa-8205	298	12	=	=	SYM
cjfa-8205	298	13	�	�	PROPN
cjfa-8205	298	14	�	�	PROPN
cjfa-8205	298	15	�	�	PROPN
cjfa-8205	298	16	�	�	PROPN
cjfa-8205	298	17	�	�	PROPN
cjfa-8205	298	18	=	=	SYM
cjfa-8205	298	19	�	�	PROPN
cjfa-8205	298	20	�	�	PROPN
cjfa-8205	298	21	�	�	PROPN
cjfa-8205	298	22	�	�	PROPN
cjfa-8205	298	23	�	�	PROPN
cjfa-8205	298	24	�	�	PROPN
cjfa-8205	298	25	�	�	PROPN
cjfa-8205	298	26	�	�	PROPN
cjfa-8205	298	27	�	�	PROPN
cjfa-8205	298	28	�	�	PROPN
cjfa-8205	298	29	�	�	PROPN
cjfa-8205	298	30	�	�	PROPN
cjfa-8205	298	31	�	�	PROPN
cjfa-8205	298	32	�	�	PROPN
cjfa-8205	298	33	�	�	PROPN
cjfa-8205	298	34	.	.	PUNCT
cjfa-8205	299	1			X
cjfa-8205	299	2	5th	5th	ADJ
cjfa-8205	299	3	layer	layer	NOUN
cjfa-8205	299	4	.	.	PUNCT
cjfa-8205	300	1	this	this	PRON
cjfa-8205	300	2	is	be	AUX
cjfa-8205	300	3	an	an	DET
cjfa-8205	300	4	output	output	NOUN
cjfa-8205	300	5	layer	layer	NOUN
cjfa-8205	300	6	,	,	PUNCT
cjfa-8205	300	7	where	where	SCONJ
cjfa-8205	300	8	output	output	NOUN
cjfa-8205	300	9	value	value	NOUN
cjfa-8205	300	10	is	be	AUX
cjfa-8205	300	11	calculated	calculate	VERB
cjfa-8205	300	12	as	as	ADP
cjfa-8205	300	13	a	a	DET
cjfa-8205	300	14	sum	sum	NOUN
cjfa-8205	300	15	of	of	ADP
cjfa-8205	300	16	all	all	DET
cjfa-8205	300	17	inputs	input	NOUN
cjfa-8205	300	18	:	:	PUNCT
cjfa-8205	300	19	�	�	PROPN
cjfa-8205	300	20	�	�	PROPN
cjfa-8205	300	21	,	,	PUNCT
cjfa-8205	300	22	�	�	PROPN
cjfa-8205	300	23	=	=	SYM
cjfa-8205	300	24	�	�	PROPN
cjfa-8205	300	25	�	�	PROPN
cjfa-8205	300	26	�	�	PROPN
cjfa-8205	300	27	�	�	PROPN
cjfa-8205	300	28	�	�	PROPN
cjfa-8205	300	29	�	�	PROPN
cjfa-8205	300	30	�	�	PROPN
cjfa-8205	300	31	=	=	SYM
cjfa-8205	300	32	∑	∑	PUNCT
cjfa-8205	300	33	�	�	PROPN
cjfa-8205	300	34	�	�	PROPN
cjfa-8205	300	35	�	�	PROPN
cjfa-8205	300	36	�	�	PROPN
cjfa-8205	300	37	�	�	PROPN
cjfa-8205	300	38	�	�	PROPN
cjfa-8205	300	39	∑	∑	PUNCT
cjfa-8205	300	40	�	�	PROPN
cjfa-8205	300	41	�	�	PROPN
cjfa-8205	300	42	�	�	PROPN
cjfa-8205	300	43	.	.	PUNCT
cjfa-8205	301	1	in	in	ADP
cjfa-8205	301	2	this	this	DET
cjfa-8205	301	3	research	research	NOUN
cjfa-8205	301	4	,	,	PUNCT
cjfa-8205	301	5	two	two	NUM
cjfa-8205	301	6	types	type	NOUN
cjfa-8205	301	7	of	of	ADP
cjfa-8205	301	8	anfis	anfis	ADJ
cjfa-8205	301	9	model	model	NOUN
cjfa-8205	301	10	training	training	NOUN
cjfa-8205	301	11	algorithms	algorithm	NOUN
cjfa-8205	301	12	are	be	AUX
cjfa-8205	301	13	used	use	VERB
cjfa-8205	301	14	:	:	PUNCT
cjfa-8205	301	15	classical	classical	ADJ
cjfa-8205	301	16	gradient	gradient	NOUN
cjfa-8205	301	17	steepest	steep	ADJ
cjfa-8205	301	18	descend	descend	NOUN
cjfa-8205	301	19	backpropagation	backpropagation	NOUN
cjfa-8205	301	20	and	and	CCONJ
cjfa-8205	301	21	hybrid	hybrid	ADJ
cjfa-8205	301	22	training	training	NOUN
cjfa-8205	301	23	algorithm	algorithm	NOUN
cjfa-8205	301	24	.	.	PUNCT
cjfa-8205	302	1	hybrid	hybrid	ADJ
cjfa-8205	302	2	training	training	NOUN
cjfa-8205	302	3	combines	combine	VERB
cjfa-8205	302	4	gradient	gradient	ADJ
cjfa-8205	302	5	descend	descend	NOUN
cjfa-8205	302	6	backpropagation	backpropagation	NOUN
cjfa-8205	302	7	and	and	CCONJ
cjfa-8205	302	8	least	least	ADJ
cjfa-8205	302	9	squares	square	NOUN
cjfa-8205	302	10	methods	method	NOUN
cjfa-8205	302	11	.	.	PUNCT
cjfa-8205	303	1	backpropagation	backpropagation	NOUN
cjfa-8205	303	2	is	be	AUX
cjfa-8205	303	3	used	use	VERB
cjfa-8205	303	4	to	to	PART
cjfa-8205	303	5	tune	tune	NOUN
cjfa-8205	303	6	input	input	NOUN
cjfa-8205	303	7	layer	layer	NOUN
cjfa-8205	303	8	membership	membership	NOUN
cjfa-8205	303	9	function	function	NOUN
cjfa-8205	303	10	parameters	parameter	NOUN
cjfa-8205	303	11	,	,	PUNCT
cjfa-8205	303	12	while	while	SCONJ
cjfa-8205	303	13	least	least	ADJ
cjfa-8205	303	14	squares	square	NOUN
cjfa-8205	303	15	method	method	NOUN
cjfa-8205	303	16	is	be	AUX
cjfa-8205	303	17	used	use	VERB
cjfa-8205	303	18	for	for	ADP
cjfa-8205	303	19	output	output	NOUN
cjfa-8205	303	20	function	function	NOUN
cjfa-8205	303	21	parameter	parameter	NOUN
cjfa-8205	303	22	tuning	tuning	NOUN
cjfa-8205	303	23	.	.	PUNCT
cjfa-8205	304	1	for	for	ADP
cjfa-8205	304	2	input	input	NOUN
cjfa-8205	304	3	layer	layer	NOUN
cjfa-8205	304	4	membership	membership	NOUN
cjfa-8205	304	5	function	function	PROPN
cjfa-8205	304	6	parameter	parameter	PROPN
cjfa-8205	304	7	initialization	initialization	PROPN
cjfa-8205	304	8	fuzzy	fuzzy	ADJ
cjfa-8205	304	9	c	c	NOUN
cjfa-8205	304	10	-	-	PUNCT
cjfa-8205	304	11	means	means	NOUN
cjfa-8205	304	12	(	(	PUNCT
cjfa-8205	304	13	fcm	fcm	PROPN
cjfa-8205	304	14	)	)	PUNCT
cjfa-8205	304	15	clustering	cluster	VERB
cjfa-8205	304	16	algorithms	algorithms	NOUN
cjfa-8205	304	17	is	be	AUX
cjfa-8205	304	18	used	use	VERB
cjfa-8205	304	19	,	,	PUNCT
cjfa-8205	304	20	that	that	PRON
cjfa-8205	304	21	partitions	partition	VERB
cjfa-8205	304	22	data	datum	NOUN
cjfa-8205	304	23	of	of	ADP
cjfa-8205	304	24	the	the	DET
cjfa-8205	304	25	input	input	NOUN
cjfa-8205	304	26	space	space	NOUN
cjfa-8205	304	27	into	into	ADP
cjfa-8205	304	28	some	some	DET
cjfa-8205	304	29	number	number	NOUN
cjfa-8205	304	30	(	(	PUNCT
cjfa-8205	304	31	c	c	NOUN
cjfa-8205	304	32	)	)	PUNCT
cjfa-8205	304	33	of	of	ADP
cjfa-8205	304	34	clusters	cluster	NOUN
cjfa-8205	304	35	and	and	CCONJ
cjfa-8205	304	36	use	use	VERB
cjfa-8205	304	37	them	they	PRON
cjfa-8205	304	38	as	as	ADP
cjfa-8205	304	39	input	input	NOUN
cjfa-8205	304	40	membership	membership	NOUN
cjfa-8205	304	41	function	function	NOUN
cjfa-8205	304	42	initialization	initialization	NOUN
cjfa-8205	304	43	.	.	PUNCT
cjfa-8205	305	1	in	in	ADP
cjfa-8205	305	2	this	this	DET
cjfa-8205	305	3	research	research	NOUN
cjfa-8205	305	4	anfis	anfis	PROPN
cjfa-8205	305	5	model	model	NOUN
cjfa-8205	305	6	that	that	PRON
cjfa-8205	305	7	is	be	AUX
cjfa-8205	305	8	implemented	implement	VERB
cjfa-8205	305	9	in	in	ADP
cjfa-8205	305	10	matlab	matlab	PROPN
cjfa-8205	305	11	fuzzy	fuzzy	ADJ
cjfa-8205	305	12	logic	logic	NOUN
cjfa-8205	305	13	toolbox	toolbox	NOUN
cjfa-8205	305	14	is	be	AUX
cjfa-8205	305	15	used	use	VERB
cjfa-8205	305	16	.	.	PUNCT
cjfa-8205	306	1	for	for	ADP
cjfa-8205	306	2	a	a	DET
cjfa-8205	306	3	1st	1st	ADJ
cjfa-8205	306	4	order	order	NOUN
cjfa-8205	306	5	of	of	ADP
cjfa-8205	306	6	sugeno	sugeno	ADJ
cjfa-8205	306	7	fuzzy	fuzzy	ADJ
cjfa-8205	306	8	model	model	NOUN
cjfa-8205	306	9	,	,	PUNCT
cjfa-8205	306	10	a	a	DET
cjfa-8205	306	11	typical	typical	ADJ
cjfa-8205	306	12	if	if	SCONJ
cjfa-8205	306	13	-	-	PUNCT
cjfa-8205	306	14	then	then	ADV
cjfa-8205	306	15	rule	rule	NOUN
cjfa-8205	306	16	set	set	NOUN
cjfa-8205	306	17	can	can	AUX
cjfa-8205	306	18	be	be	AUX
cjfa-8205	306	19	expressed	express	VERB
cjfa-8205	306	20	as	as	ADP
cjfa-8205	306	21	:	:	PUNCT
cjfa-8205	306	22	1	1	NUM
cjfa-8205	306	23	)	)	PUNCT
cjfa-8205	306	24	if	if	SCONJ
cjfa-8205	306	25	x	x	PRON
cjfa-8205	306	26	is	be	AUX
cjfa-8205	306	27	a1	a1	NOUN
cjfa-8205	306	28	and	and	CCONJ
cjfa-8205	306	29	y	y	PROPN
cjfa-8205	306	30	is	be	AUX
cjfa-8205	306	31	b1	b1	NOUN
cjfa-8205	306	32	then	then	ADV
cjfa-8205	306	33	f1	f1	NOUN
cjfa-8205	306	34	=	=	PUNCT
cjfa-8205	306	35	p1x	p1x	NOUN
cjfa-8205	306	36	+	+	CCONJ
cjfa-8205	306	37	q1y	q1y	PROPN
cjfa-8205	306	38	+	+	CCONJ
cjfa-8205	306	39	r1	r1	NOUN
cjfa-8205	306	40	;	;	PUNCT
cjfa-8205	306	41	2	2	X
cjfa-8205	306	42	)	)	PUNCT
cjfa-8205	306	43	if	if	SCONJ
cjfa-8205	306	44	x	x	PRON
cjfa-8205	306	45	is	be	AUX
cjfa-8205	306	46	a2	a2	PROPN
cjfa-8205	306	47	and	and	CCONJ
cjfa-8205	306	48	y	y	PROPN
cjfa-8205	306	49	is	be	AUX
cjfa-8205	306	50	b2	b2	NOUN
cjfa-8205	306	51	then	then	ADV
cjfa-8205	306	52	f2	f2	ADV
cjfa-8205	306	53	=	=	SYM
cjfa-8205	306	54	p2x	p2x	PROPN
cjfa-8205	306	55	+	+	CCONJ
cjfa-8205	306	56	q2y	q2y	PROPN
cjfa-8205	306	57	+	+	NUM
cjfa-8205	306	58	r2	r2	NOUN
cjfa-8205	306	59	.	.	PUNCT
cjfa-8205	307	1	further	far	ADV
cjfa-8205	307	2	each	each	PRON
cjfa-8205	307	3	of	of	ADP
cjfa-8205	307	4	five	five	NUM
cjfa-8205	307	5	layer	layer	NOUN
cjfa-8205	307	6	functionality	functionality	NOUN
cjfa-8205	307	7	is	be	AUX
cjfa-8205	307	8	shortly	shortly	ADV
cjfa-8205	307	9	explained	explain	VERB
cjfa-8205	307	10	:	:	PUNCT
cjfa-8205	307	11			NOUN
cjfa-8205	307	12	1st	1st	ADJ
cjfa-8205	307	13	layer	layer	NOUN
cjfa-8205	307	14	.	.	PUNCT
cjfa-8205	308	1	forms	form	NOUN
cjfa-8205	308	2	output	output	NOUN
cjfa-8205	308	3	,	,	PUNCT
cjfa-8205	308	4	which	which	PRON
cjfa-8205	308	5	determines	determine	VERB
cjfa-8205	308	6	membership	membership	NOUN
cjfa-8205	308	7	degree	degree	NOUN
cjfa-8205	308	8	in	in	ADP
cjfa-8205	308	9	each	each	PRON
cjfa-8205	308	10	of	of	ADP
cjfa-8205	308	11	membership	membership	NOUN
cjfa-8205	308	12	functions	function	NOUN
cjfa-8205	308	13	(	(	PUNCT
cjfa-8205	308	14	µa1	µa1	NOUN
cjfa-8205	308	15	,	,	PUNCT
cjfa-8205	308	16	µa2	µa2	ADV
cjfa-8205	308	17	,	,	PUNCT
cjfa-8205	308	18	µb1	µb1	VERB
cjfa-8205	308	19	,	,	PUNCT
cjfa-8205	308	20	µb2	µb2	NOUN
cjfa-8205	308	21	):	):	PUNCT
cjfa-8205	308	22	�	�	PROPN
cjfa-8205	308	23	�	�	PROPN
cjfa-8205	308	24	,	,	PUNCT
cjfa-8205	308	25	�	�	PROPN
cjfa-8205	308	26	=	=	SYM
cjfa-8205	308	27	�	�	PROPN
cjfa-8205	308	28	�	�	PROPN
cjfa-8205	308	29	�	�	PROPN
cjfa-8205	308	30	�	�	PROPN
cjfa-8205	308	31	�	�	PROPN
cjfa-8205	308	32	�	�	PROPN
cjfa-8205	308	33	,	,	PUNCT
cjfa-8205	308	34	�	�	PROPN
cjfa-8205	308	35	=	=	SYM
cjfa-8205	308	36	�	�	PROPN
cjfa-8205	308	37	,	,	PUNCT
cjfa-8205	308	38	�	�	PROPN
cjfa-8205	308	39	,	,	PUNCT
cjfa-8205	308	40	�	�	PROPN
cjfa-8205	308	41	�	�	PROPN
cjfa-8205	308	42	,	,	PUNCT
cjfa-8205	308	43	�	�	PROPN
cjfa-8205	308	44	=	=	SYM
cjfa-8205	308	45	�	�	PROPN
cjfa-8205	308	46	�	�	PROPN
cjfa-8205	308	47	�	�	PROPN
cjfa-8205	308	48	�	�	PROPN
cjfa-8205	308	49	�	�	PROPN
cjfa-8205	308	50	�	�	PROPN
cjfa-8205	308	51	�	�	PROPN
cjfa-8205	308	52	�	�	PROPN
cjfa-8205	308	53	,	,	PUNCT
cjfa-8205	308	54	�	�	PROPN
cjfa-8205	308	55	=	=	SYM
cjfa-8205	308	56	�	�	PROPN
cjfa-8205	308	57	,	,	PUNCT
cjfa-8205	308	58	�	�	PROPN
cjfa-8205	308	59	.	.	PUNCT
cjfa-8205	308	60			PROPN
cjfa-8205	309	1	2nd	2nd	ADJ
cjfa-8205	309	2	layer	layer	NOUN
cjfa-8205	309	3	.	.	PUNCT
cjfa-8205	310	1	in	in	ADP
cjfa-8205	310	2	this	this	DET
cjfa-8205	310	3	layer	layer	NOUN
cjfa-8205	310	4	each	each	DET
cjfa-8205	310	5	node	node	NOUN
cjfa-8205	310	6	is	be	AUX
cjfa-8205	310	7	fixed	fix	VERB
cjfa-8205	310	8	and	and	CCONJ
cjfa-8205	310	9	represents	represent	VERB
cjfa-8205	310	10	weight	weight	NOUN
cjfa-8205	310	11	of	of	ADP
cjfa-8205	310	12	particular	particular	ADJ
cjfa-8205	310	13	rule	rule	NOUN
cjfa-8205	310	14	.	.	PUNCT
cjfa-8205	311	1	in	in	ADP
cjfa-8205	311	2	this	this	DET
cjfa-8205	311	3	node	node	NOUN
cjfa-8205	311	4	and	and	CCONJ
cjfa-8205	311	5	operation	operation	NOUN
cjfa-8205	311	6	is	be	AUX
cjfa-8205	311	7	performed	perform	VERB
cjfa-8205	311	8	,	,	PUNCT
cjfa-8205	311	9	which	which	PRON
cjfa-8205	311	10	is	be	AUX
cjfa-8205	311	11	product	product	NOUN
cjfa-8205	311	12	of	of	ADP
cjfa-8205	311	13	inputs	input	NOUN
cjfa-8205	311	14	:	:	PUNCT
cjfa-8205	311	15	�	�	PROPN
cjfa-8205	311	16	�	�	PROPN
cjfa-8205	311	17	,	,	PUNCT
cjfa-8205	311	18	�	�	PROPN
cjfa-8205	311	19	=	=	SYM
cjfa-8205	311	20	�	�	PROPN
cjfa-8205	311	21	�	�	PROPN
cjfa-8205	311	22	=	=	SYM
cjfa-8205	311	23	�	�	PROPN
cjfa-8205	311	24	�	�	PROPN
cjfa-8205	311	25	�	�	PROPN
cjfa-8205	311	26	�	�	PROPN
cjfa-8205	311	27	�	�	PROPN
cjfa-8205	311	28	�	�	PROPN
cjfa-8205	311	29	�	�	PROPN
cjfa-8205	311	30	�	�	PROPN
cjfa-8205	311	31	�	�	PROPN
cjfa-8205	311	32	�	�	PROPN
cjfa-8205	311	33	�	�	PROPN
cjfa-8205	311	34	�	�	PROPN
cjfa-8205	311	35	�	�	PROPN
cjfa-8205	311	36	,	,	PUNCT
cjfa-8205	311	37	�	�	PROPN
cjfa-8205	311	38	=	=	SYM
cjfa-8205	311	39	�	�	PROPN
cjfa-8205	311	40	,	,	PUNCT
cjfa-8205	311	41	�	�	PROPN
cjfa-8205	311	42	.	.	PUNCT
cjfa-8205	312	1			X
cjfa-8205	313	1	3rd	3rd	ADJ
cjfa-8205	313	2	layer	layer	NOUN
cjfa-8205	313	3	.	.	PUNCT
cjfa-8205	314	1	each	each	DET
cjfa-8205	314	2	node	node	NOUN
cjfa-8205	314	3	of	of	ADP
cjfa-8205	314	4	this	this	DET
cjfa-8205	314	5	layer	layer	NOUN
cjfa-8205	314	6	is	be	AUX
cjfa-8205	314	7	also	also	ADV
cjfa-8205	314	8	fixed	fix	VERB
cjfa-8205	314	9	and	and	CCONJ
cjfa-8205	314	10	calculates	calculate	NOUN
cjfa-8205	314	11	normalized	normalize	VERB
cjfa-8205	314	12	rule	rule	NOUN
cjfa-8205	314	13	excitation	excitation	NOUN
cjfa-8205	314	14	degree	degree	NOUN
cjfa-8205	314	15	:	:	PUNCT
cjfa-8205	314	16	�	�	PROPN
cjfa-8205	314	17	�	�	PROPN
cjfa-8205	314	18	,	,	PUNCT
cjfa-8205	314	19	�	�	PROPN
cjfa-8205	314	20	=	=	SYM
cjfa-8205	314	21	�	�	PROPN
cjfa-8205	314	22	�	�	PROPN
cjfa-8205	314	23	�	�	PROPN
cjfa-8205	314	24	=	=	SYM
cjfa-8205	314	25	�	�	PROPN
cjfa-8205	314	26	�	�	PROPN
cjfa-8205	314	27	�	�	PROPN
cjfa-8205	314	28	�	�	PROPN
cjfa-8205	314	29	�	�	PROPN
cjfa-8205	314	30	�	�	PROPN
cjfa-8205	314	31	�	�	PROPN
cjfa-8205	314	32	,	,	PUNCT
cjfa-8205	314	33	�	�	PROPN
cjfa-8205	314	34	=	=	SYM
cjfa-8205	314	35	�	�	PROPN
cjfa-8205	314	36	,	,	PUNCT
cjfa-8205	314	37	�	�	PROPN
cjfa-8205	314	38	.	.	PUNCT
cjfa-8205	315	1			PUNCT
cjfa-8205	315	2	4th	4th	ADJ
cjfa-8205	315	3	layer	layer	NOUN
cjfa-8205	315	4	.	.	PUNCT
cjfa-8205	316	1	this	this	DET
cjfa-8205	316	2	layer	layer	NOUN
cjfa-8205	316	3	is	be	AUX
cjfa-8205	316	4	not	not	PART
cjfa-8205	316	5	fixed	fix	VERB
cjfa-8205	316	6	as	as	ADP
cjfa-8205	316	7	other	other	ADJ
cjfa-8205	316	8	and	and	CCONJ
cjfa-8205	316	9	parameters	parameter	NOUN
cjfa-8205	316	10	(	(	PUNCT
cjfa-8205	316	11	pi	pi	NOUN
cjfa-8205	316	12	,	,	PUNCT
cjfa-8205	316	13	qi	qi	PROPN
cjfa-8205	316	14	,	,	PUNCT
cjfa-8205	316	15	ri	ri	PROPN
cjfa-8205	316	16	)	)	PUNCT
cjfa-8205	316	17	are	be	AUX
cjfa-8205	316	18	estimated	estimate	VERB
cjfa-8205	316	19	during	during	ADP
cjfa-8205	316	20	training	training	NOUN
cjfa-8205	316	21	process	process	NOUN
cjfa-8205	316	22	.	.	PUNCT
cjfa-8205	317	1	output	output	NOUN
cjfa-8205	317	2	of	of	ADP
cjfa-8205	317	3	nodes	node	NOUN
cjfa-8205	317	4	are	be	AUX
cjfa-8205	317	5	calculated	calculate	VERB
cjfa-8205	317	6	as	as	ADP
cjfa-8205	317	7	:	:	PUNCT
cjfa-8205	317	8	�	�	PROPN
cjfa-8205	317	9	�	�	PROPN
cjfa-8205	317	10	,	,	PUNCT
cjfa-8205	317	11	�	�	PROPN
cjfa-8205	317	12	=	=	SYM
cjfa-8205	317	13	�	�	PROPN
cjfa-8205	317	14	�	�	PROPN
cjfa-8205	317	15	�	�	PROPN
cjfa-8205	317	16	�	�	PROPN
cjfa-8205	317	17	�	�	PROPN
cjfa-8205	317	18	=	=	SYM
cjfa-8205	317	19	�	�	PROPN
cjfa-8205	317	20	�	�	PROPN
cjfa-8205	317	21	�	�	PROPN
cjfa-8205	317	22	�	�	PROPN
cjfa-8205	317	23	�	�	PROPN
cjfa-8205	317	24	�	�	PROPN
cjfa-8205	317	25	�	�	PROPN
cjfa-8205	317	26	�	�	PROPN
cjfa-8205	317	27	�	�	PROPN
cjfa-8205	317	28	�	�	PROPN
cjfa-8205	317	29	�	�	PROPN
cjfa-8205	317	30	�	�	PROPN
cjfa-8205	317	31	�	�	PROPN
cjfa-8205	317	32	�	�	PROPN
cjfa-8205	317	33	�	�	PROPN
cjfa-8205	317	34	.	.	PUNCT
cjfa-8205	318	1			X
cjfa-8205	318	2	5th	5th	ADJ
cjfa-8205	318	3	layer	layer	NOUN
cjfa-8205	318	4	.	.	PUNCT
cjfa-8205	319	1	this	this	PRON
cjfa-8205	319	2	is	be	AUX
cjfa-8205	319	3	an	an	DET
cjfa-8205	319	4	output	output	NOUN
cjfa-8205	319	5	layer	layer	NOUN
cjfa-8205	319	6	,	,	PUNCT
cjfa-8205	319	7	where	where	SCONJ
cjfa-8205	319	8	output	output	NOUN
cjfa-8205	319	9	value	value	NOUN
cjfa-8205	319	10	is	be	AUX
cjfa-8205	319	11	calculated	calculate	VERB
cjfa-8205	319	12	as	as	ADP
cjfa-8205	319	13	a	a	DET
cjfa-8205	319	14	sum	sum	NOUN
cjfa-8205	319	15	of	of	ADP
cjfa-8205	319	16	all	all	DET
cjfa-8205	319	17	inputs	input	NOUN
cjfa-8205	319	18	:	:	PUNCT
cjfa-8205	319	19	�	�	PROPN
cjfa-8205	319	20	�	�	PROPN
cjfa-8205	319	21	,	,	PUNCT
cjfa-8205	319	22	�	�	PROPN
cjfa-8205	319	23	=	=	SYM
cjfa-8205	319	24	�	�	PROPN
cjfa-8205	319	25	�	�	PROPN
cjfa-8205	319	26	�	�	PROPN
cjfa-8205	319	27	�	�	PROPN
cjfa-8205	319	28	�	�	PROPN
cjfa-8205	319	29	�	�	PROPN
cjfa-8205	319	30	�	�	PROPN
cjfa-8205	319	31	=	=	SYM
cjfa-8205	319	32	∑	∑	PUNCT
cjfa-8205	319	33	�	�	PROPN
cjfa-8205	319	34	�	�	PROPN
cjfa-8205	319	35	�	�	PROPN
cjfa-8205	319	36	�	�	PROPN
cjfa-8205	319	37	�	�	PROPN
cjfa-8205	319	38	�	�	PROPN
cjfa-8205	319	39	∑	∑	PUNCT
cjfa-8205	319	40	�	�	PROPN
cjfa-8205	319	41	�	�	PROPN
cjfa-8205	319	42	�	�	PROPN
cjfa-8205	319	43	.	.	PUNCT
cjfa-8205	320	1	in	in	ADP
cjfa-8205	320	2	this	this	DET
cjfa-8205	320	3	research	research	NOUN
cjfa-8205	320	4	,	,	PUNCT
cjfa-8205	320	5	two	two	NUM
cjfa-8205	320	6	types	type	NOUN
cjfa-8205	320	7	of	of	ADP
cjfa-8205	320	8	anfis	anfis	ADJ
cjfa-8205	320	9	model	model	NOUN
cjfa-8205	320	10	training	training	NOUN
cjfa-8205	320	11	algorithms	algorithm	NOUN
cjfa-8205	320	12	are	be	AUX
cjfa-8205	320	13	used	use	VERB
cjfa-8205	320	14	:	:	PUNCT
cjfa-8205	320	15	classical	classical	ADJ
cjfa-8205	320	16	gradient	gradient	NOUN
cjfa-8205	320	17	steepest	steep	ADJ
cjfa-8205	320	18	descend	descend	NOUN
cjfa-8205	320	19	backpropagation	backpropagation	NOUN
cjfa-8205	320	20	and	and	CCONJ
cjfa-8205	320	21	hybrid	hybrid	ADJ
cjfa-8205	320	22	training	training	NOUN
cjfa-8205	320	23	algorithm	algorithm	NOUN
cjfa-8205	320	24	.	.	PUNCT
cjfa-8205	321	1	hybrid	hybrid	ADJ
cjfa-8205	321	2	training	training	NOUN
cjfa-8205	321	3	combines	combine	VERB
cjfa-8205	321	4	gradient	gradient	ADJ
cjfa-8205	321	5	descend	descend	NOUN
cjfa-8205	321	6	backpropagation	backpropagation	NOUN
cjfa-8205	321	7	and	and	CCONJ
cjfa-8205	321	8	least	least	ADJ
cjfa-8205	321	9	squares	square	NOUN
cjfa-8205	321	10	methods	method	NOUN
cjfa-8205	321	11	.	.	PUNCT
cjfa-8205	322	1	backpropagation	backpropagation	NOUN
cjfa-8205	322	2	is	be	AUX
cjfa-8205	322	3	used	use	VERB
cjfa-8205	322	4	to	to	PART
cjfa-8205	322	5	tune	tune	NOUN
cjfa-8205	322	6	input	input	NOUN
cjfa-8205	322	7	layer	layer	NOUN
cjfa-8205	322	8	membership	membership	NOUN
cjfa-8205	322	9	function	function	NOUN
cjfa-8205	322	10	parameters	parameter	NOUN
cjfa-8205	322	11	,	,	PUNCT
cjfa-8205	322	12	while	while	SCONJ
cjfa-8205	322	13	least	least	ADJ
cjfa-8205	322	14	squares	square	NOUN
cjfa-8205	322	15	method	method	NOUN
cjfa-8205	322	16	is	be	AUX
cjfa-8205	322	17	used	use	VERB
cjfa-8205	322	18	for	for	ADP
cjfa-8205	322	19	output	output	NOUN
cjfa-8205	322	20	function	function	NOUN
cjfa-8205	322	21	parameter	parameter	NOUN
cjfa-8205	322	22	tuning	tuning	NOUN
cjfa-8205	322	23	.	.	PUNCT
cjfa-8205	323	1	for	for	ADP
cjfa-8205	323	2	input	input	NOUN
cjfa-8205	323	3	layer	layer	NOUN
cjfa-8205	323	4	membership	membership	NOUN
cjfa-8205	323	5	function	function	PROPN
cjfa-8205	323	6	parameter	parameter	PROPN
cjfa-8205	323	7	initialization	initialization	PROPN
cjfa-8205	323	8	fuzzy	fuzzy	ADJ
cjfa-8205	323	9	c	c	NOUN
cjfa-8205	323	10	-	-	PUNCT
cjfa-8205	323	11	means	means	NOUN
cjfa-8205	323	12	(	(	PUNCT
cjfa-8205	323	13	fcm	fcm	PROPN
cjfa-8205	323	14	)	)	PUNCT
cjfa-8205	323	15	clustering	cluster	VERB
cjfa-8205	323	16	algorithms	algorithms	NOUN
cjfa-8205	323	17	is	be	AUX
cjfa-8205	323	18	used	use	VERB
cjfa-8205	323	19	,	,	PUNCT
cjfa-8205	323	20	that	that	PRON
cjfa-8205	323	21	partitions	partition	VERB
cjfa-8205	323	22	data	datum	NOUN
cjfa-8205	323	23	of	of	ADP
cjfa-8205	323	24	the	the	DET
cjfa-8205	323	25	input	input	NOUN
cjfa-8205	323	26	space	space	NOUN
cjfa-8205	323	27	into	into	ADP
cjfa-8205	323	28	some	some	DET
cjfa-8205	323	29	number	number	NOUN
cjfa-8205	323	30	(	(	PUNCT
cjfa-8205	323	31	c	c	NOUN
cjfa-8205	323	32	)	)	PUNCT
cjfa-8205	323	33	of	of	ADP
cjfa-8205	323	34	clusters	cluster	NOUN
cjfa-8205	323	35	and	and	CCONJ
cjfa-8205	323	36	use	use	VERB
cjfa-8205	323	37	them	they	PRON
cjfa-8205	323	38	as	as	ADP
cjfa-8205	323	39	input	input	NOUN
cjfa-8205	323	40	membership	membership	NOUN
cjfa-8205	323	41	function	function	NOUN
cjfa-8205	323	42	initialization	initialization	NOUN
cjfa-8205	323	43	.	.	PUNCT
cjfa-8205	324	1	in	in	ADP
cjfa-8205	324	2	this	this	DET
cjfa-8205	324	3	research	research	NOUN
cjfa-8205	324	4	anfis	anfis	PROPN
cjfa-8205	324	5	model	model	NOUN
cjfa-8205	324	6	that	that	PRON
cjfa-8205	324	7	is	be	AUX
cjfa-8205	324	8	implemented	implement	VERB
cjfa-8205	324	9	in	in	ADP
cjfa-8205	324	10	matlab	matlab	PROPN
cjfa-8205	324	11	fuzzy	fuzzy	ADJ
cjfa-8205	324	12	logic	logic	NOUN
cjfa-8205	324	13	toolbox	toolbox	NOUN
cjfa-8205	324	14	is	be	AUX
cjfa-8205	324	15	used	use	VERB
cjfa-8205	324	16	.	.	PUNCT
cjfa-8205	325	1	■	■	PUNCT
cjfa-8205	325	2	2nd	2nd	ADJ
cjfa-8205	325	3	layer	layer	NOUN
cjfa-8205	325	4	.	.	PUNCT
cjfa-8205	326	1	in	in	ADP
cjfa-8205	326	2	this	this	DET
cjfa-8205	326	3	layer	layer	NOUN
cjfa-8205	326	4	each	each	DET
cjfa-8205	326	5	node	node	NOUN
cjfa-8205	326	6	is	be	AUX
cjfa-8205	326	7	fixed	fix	VERB
cjfa-8205	326	8	and	and	CCONJ
cjfa-8205	326	9	represents	represent	VERB
cjfa-8205	326	10	weight	weight	NOUN
cjfa-8205	326	11	of	of	ADP
cjfa-8205	326	12	particular	particular	ADJ
cjfa-8205	326	13	rule	rule	NOUN
cjfa-8205	326	14	.	.	PUNCT
cjfa-8205	327	1	in	in	ADP
cjfa-8205	327	2	this	this	DET
cjfa-8205	327	3	node	node	NOUN
cjfa-8205	327	4	and	and	CCONJ
cjfa-8205	327	5	operation	operation	NOUN
cjfa-8205	327	6	is	be	AUX
cjfa-8205	327	7	performed	perform	VERB
cjfa-8205	327	8	,	,	PUNCT
cjfa-8205	327	9	which	which	PRON
cjfa-8205	327	10	is	be	AUX
cjfa-8205	327	11	product	product	NOUN
cjfa-8205	327	12	of	of	ADP
cjfa-8205	327	13	inputs	input	NOUN
cjfa-8205	327	14	:	:	PUNCT
cjfa-8205	327	15	gediminas	gediminas	PROPN
cjfa-8205	327	16	žylius218	žylius218	PROPN
cjfa-8205	327	17	for	for	ADP
cjfa-8205	327	18	a	a	DET
cjfa-8205	327	19	1st	1st	ADJ
cjfa-8205	327	20	order	order	NOUN
cjfa-8205	327	21	of	of	ADP
cjfa-8205	327	22	sugeno	sugeno	ADJ
cjfa-8205	327	23	fuzzy	fuzzy	ADJ
cjfa-8205	327	24	model	model	NOUN
cjfa-8205	327	25	,	,	PUNCT
cjfa-8205	327	26	a	a	DET
cjfa-8205	327	27	typical	typical	ADJ
cjfa-8205	327	28	if	if	SCONJ
cjfa-8205	327	29	-	-	PUNCT
cjfa-8205	327	30	then	then	ADV
cjfa-8205	327	31	rule	rule	NOUN
cjfa-8205	327	32	set	set	NOUN
cjfa-8205	327	33	can	can	AUX
cjfa-8205	327	34	be	be	AUX
cjfa-8205	327	35	expressed	express	VERB
cjfa-8205	327	36	as	as	ADP
cjfa-8205	327	37	:	:	PUNCT
cjfa-8205	327	38	1	1	NUM
cjfa-8205	327	39	)	)	PUNCT
cjfa-8205	327	40	if	if	SCONJ
cjfa-8205	327	41	x	x	PRON
cjfa-8205	327	42	is	be	AUX
cjfa-8205	327	43	a1	a1	NOUN
cjfa-8205	327	44	and	and	CCONJ
cjfa-8205	327	45	y	y	PROPN
cjfa-8205	327	46	is	be	AUX
cjfa-8205	327	47	b1	b1	NOUN
cjfa-8205	327	48	then	then	ADV
cjfa-8205	327	49	f1	f1	NOUN
cjfa-8205	327	50	=	=	PUNCT
cjfa-8205	327	51	p1x	p1x	NOUN
cjfa-8205	327	52	+	+	CCONJ
cjfa-8205	327	53	q1y	q1y	PROPN
cjfa-8205	327	54	+	+	CCONJ
cjfa-8205	327	55	r1	r1	NOUN
cjfa-8205	327	56	;	;	PUNCT
cjfa-8205	327	57	2	2	X
cjfa-8205	327	58	)	)	PUNCT
cjfa-8205	327	59	if	if	SCONJ
cjfa-8205	327	60	x	x	PRON
cjfa-8205	327	61	is	be	AUX
cjfa-8205	327	62	a2	a2	PROPN
cjfa-8205	327	63	and	and	CCONJ
cjfa-8205	327	64	y	y	PROPN
cjfa-8205	327	65	is	be	AUX
cjfa-8205	327	66	b2	b2	NOUN
cjfa-8205	327	67	then	then	ADV
cjfa-8205	327	68	f2	f2	ADV
cjfa-8205	327	69	=	=	SYM
cjfa-8205	327	70	p2x	p2x	PROPN
cjfa-8205	327	71	+	+	CCONJ
cjfa-8205	327	72	q2y	q2y	PROPN
cjfa-8205	328	1	+	+	NUM
cjfa-8205	328	2	r2	r2	NOUN
cjfa-8205	328	3	.	.	PUNCT
cjfa-8205	329	1	further	far	ADV
cjfa-8205	329	2	each	each	PRON
cjfa-8205	329	3	of	of	ADP
cjfa-8205	329	4	five	five	NUM
cjfa-8205	329	5	layer	layer	NOUN
cjfa-8205	329	6	functionality	functionality	NOUN
cjfa-8205	329	7	is	be	AUX
cjfa-8205	329	8	shortly	shortly	ADV
cjfa-8205	329	9	explained	explain	VERB
cjfa-8205	329	10	:	:	PUNCT
cjfa-8205	329	11			NOUN
cjfa-8205	329	12	1st	1st	ADJ
cjfa-8205	329	13	layer	layer	NOUN
cjfa-8205	329	14	.	.	PUNCT
cjfa-8205	330	1	forms	form	NOUN
cjfa-8205	330	2	output	output	NOUN
cjfa-8205	330	3	,	,	PUNCT
cjfa-8205	330	4	which	which	PRON
cjfa-8205	330	5	determines	determine	VERB
cjfa-8205	330	6	membership	membership	NOUN
cjfa-8205	330	7	degree	degree	NOUN
cjfa-8205	330	8	in	in	ADP
cjfa-8205	330	9	each	each	PRON
cjfa-8205	330	10	of	of	ADP
cjfa-8205	330	11	membership	membership	NOUN
cjfa-8205	330	12	functions	function	NOUN
cjfa-8205	330	13	(	(	PUNCT
cjfa-8205	330	14	µa1	µa1	NOUN
cjfa-8205	330	15	,	,	PUNCT
cjfa-8205	330	16	µa2	µa2	ADV
cjfa-8205	330	17	,	,	PUNCT
cjfa-8205	330	18	µb1	µb1	VERB
cjfa-8205	330	19	,	,	PUNCT
cjfa-8205	330	20	µb2	µb2	NOUN
cjfa-8205	330	21	):	):	PUNCT
cjfa-8205	330	22	�	�	PROPN
cjfa-8205	330	23	�	�	PROPN
cjfa-8205	330	24	,	,	PUNCT
cjfa-8205	330	25	�	�	PROPN
cjfa-8205	330	26	=	=	SYM
cjfa-8205	330	27	�	�	PROPN
cjfa-8205	330	28	�	�	PROPN
cjfa-8205	330	29	�	�	PROPN
cjfa-8205	330	30	�	�	PROPN
cjfa-8205	330	31	�	�	PROPN
cjfa-8205	330	32	�	�	PROPN
cjfa-8205	330	33	,	,	PUNCT
cjfa-8205	330	34	�	�	PROPN
cjfa-8205	330	35	=	=	SYM
cjfa-8205	330	36	�	�	PROPN
cjfa-8205	330	37	,	,	PUNCT
cjfa-8205	330	38	�	�	PROPN
cjfa-8205	330	39	,	,	PUNCT
cjfa-8205	330	40	�	�	PROPN
cjfa-8205	330	41	�	�	PROPN
cjfa-8205	330	42	,	,	PUNCT
cjfa-8205	330	43	�	�	PROPN
cjfa-8205	330	44	=	=	SYM
cjfa-8205	330	45	�	�	PROPN
cjfa-8205	330	46	�	�	PROPN
cjfa-8205	330	47	�	�	PROPN
cjfa-8205	330	48	�	�	PROPN
cjfa-8205	330	49	�	�	PROPN
cjfa-8205	330	50	�	�	PROPN
cjfa-8205	330	51	�	�	PROPN
cjfa-8205	330	52	�	�	PROPN
cjfa-8205	330	53	,	,	PUNCT
cjfa-8205	330	54	�	�	PROPN
cjfa-8205	330	55	=	=	SYM
cjfa-8205	330	56	�	�	PROPN
cjfa-8205	330	57	,	,	PUNCT
cjfa-8205	330	58	�	�	PROPN
cjfa-8205	330	59	.	.	PUNCT
cjfa-8205	330	60			PROPN
cjfa-8205	331	1	2nd	2nd	ADJ
cjfa-8205	331	2	layer	layer	NOUN
cjfa-8205	331	3	.	.	PUNCT
cjfa-8205	332	1	in	in	ADP
cjfa-8205	332	2	this	this	DET
cjfa-8205	332	3	layer	layer	NOUN
cjfa-8205	332	4	each	each	DET
cjfa-8205	332	5	node	node	NOUN
cjfa-8205	332	6	is	be	AUX
cjfa-8205	332	7	fixed	fix	VERB
cjfa-8205	332	8	and	and	CCONJ
cjfa-8205	332	9	represents	represent	VERB
cjfa-8205	332	10	weight	weight	NOUN
cjfa-8205	332	11	of	of	ADP
cjfa-8205	332	12	particular	particular	ADJ
cjfa-8205	332	13	rule	rule	NOUN
cjfa-8205	332	14	.	.	PUNCT
cjfa-8205	333	1	in	in	ADP
cjfa-8205	333	2	this	this	DET
cjfa-8205	333	3	node	node	NOUN
cjfa-8205	333	4	and	and	CCONJ
cjfa-8205	333	5	operation	operation	NOUN
cjfa-8205	333	6	is	be	AUX
cjfa-8205	333	7	performed	perform	VERB
cjfa-8205	333	8	,	,	PUNCT
cjfa-8205	333	9	which	which	PRON
cjfa-8205	333	10	is	be	AUX
cjfa-8205	333	11	product	product	NOUN
cjfa-8205	333	12	of	of	ADP
cjfa-8205	333	13	inputs	input	NOUN
cjfa-8205	333	14	:	:	PUNCT
cjfa-8205	333	15	�	�	PROPN
cjfa-8205	333	16	�	�	PROPN
cjfa-8205	333	17	,	,	PUNCT
cjfa-8205	333	18	�	�	PROPN
cjfa-8205	333	19	=	=	SYM
cjfa-8205	333	20	�	�	PROPN
cjfa-8205	333	21	�	�	PROPN
cjfa-8205	333	22	=	=	SYM
cjfa-8205	333	23	�	�	PROPN
cjfa-8205	333	24	�	�	PROPN
cjfa-8205	333	25	�	�	PROPN
cjfa-8205	333	26	�	�	PROPN
cjfa-8205	333	27	�	�	PROPN
cjfa-8205	333	28	�	�	PROPN
cjfa-8205	333	29	�	�	PROPN
cjfa-8205	333	30	�	�	PROPN
cjfa-8205	333	31	�	�	PROPN
cjfa-8205	333	32	�	�	PROPN
cjfa-8205	333	33	�	�	PROPN
cjfa-8205	333	34	�	�	PROPN
cjfa-8205	333	35	�	�	PROPN
cjfa-8205	333	36	,	,	PUNCT
cjfa-8205	333	37	�	�	PROPN
cjfa-8205	333	38	=	=	SYM
cjfa-8205	333	39	�	�	PROPN
cjfa-8205	333	40	,	,	PUNCT
cjfa-8205	333	41	�	�	PROPN
cjfa-8205	333	42	.	.	PUNCT
cjfa-8205	334	1			X
cjfa-8205	335	1	3rd	3rd	ADJ
cjfa-8205	335	2	layer	layer	NOUN
cjfa-8205	335	3	.	.	PUNCT
cjfa-8205	336	1	each	each	DET
cjfa-8205	336	2	node	node	NOUN
cjfa-8205	336	3	of	of	ADP
cjfa-8205	336	4	this	this	DET
cjfa-8205	336	5	layer	layer	NOUN
cjfa-8205	336	6	is	be	AUX
cjfa-8205	336	7	also	also	ADV
cjfa-8205	336	8	fixed	fix	VERB
cjfa-8205	336	9	and	and	CCONJ
cjfa-8205	336	10	calculates	calculate	NOUN
cjfa-8205	336	11	normalized	normalize	VERB
cjfa-8205	336	12	rule	rule	NOUN
cjfa-8205	336	13	excitation	excitation	NOUN
cjfa-8205	336	14	degree	degree	NOUN
cjfa-8205	336	15	:	:	PUNCT
cjfa-8205	336	16	�	�	PROPN
cjfa-8205	336	17	�	�	PROPN
cjfa-8205	336	18	,	,	PUNCT
cjfa-8205	336	19	�	�	PROPN
cjfa-8205	336	20	=	=	SYM
cjfa-8205	336	21	�	�	PROPN
cjfa-8205	336	22	�	�	PROPN
cjfa-8205	336	23	�	�	PROPN
cjfa-8205	336	24	=	=	SYM
cjfa-8205	336	25	�	�	PROPN
cjfa-8205	336	26	�	�	PROPN
cjfa-8205	336	27	�	�	PROPN
cjfa-8205	336	28	�	�	PROPN
cjfa-8205	336	29	�	�	PROPN
cjfa-8205	336	30	�	�	PROPN
cjfa-8205	336	31	�	�	PROPN
cjfa-8205	336	32	,	,	PUNCT
cjfa-8205	336	33	�	�	PROPN
cjfa-8205	336	34	=	=	SYM
cjfa-8205	336	35	�	�	PROPN
cjfa-8205	336	36	,	,	PUNCT
cjfa-8205	336	37	�	�	PROPN
cjfa-8205	336	38	.	.	PUNCT
cjfa-8205	337	1			PUNCT
cjfa-8205	337	2	4th	4th	ADJ
cjfa-8205	337	3	layer	layer	NOUN
cjfa-8205	337	4	.	.	PUNCT
cjfa-8205	338	1	this	this	DET
cjfa-8205	338	2	layer	layer	NOUN
cjfa-8205	338	3	is	be	AUX
cjfa-8205	338	4	not	not	PART
cjfa-8205	338	5	fixed	fix	VERB
cjfa-8205	338	6	as	as	ADP
cjfa-8205	338	7	other	other	ADJ
cjfa-8205	338	8	and	and	CCONJ
cjfa-8205	338	9	parameters	parameter	NOUN
cjfa-8205	338	10	(	(	PUNCT
cjfa-8205	338	11	pi	pi	NOUN
cjfa-8205	338	12	,	,	PUNCT
cjfa-8205	338	13	qi	qi	PROPN
cjfa-8205	338	14	,	,	PUNCT
cjfa-8205	338	15	ri	ri	PROPN
cjfa-8205	338	16	)	)	PUNCT
cjfa-8205	338	17	are	be	AUX
cjfa-8205	338	18	estimated	estimate	VERB
cjfa-8205	338	19	during	during	ADP
cjfa-8205	338	20	training	training	NOUN
cjfa-8205	338	21	process	process	NOUN
cjfa-8205	338	22	.	.	PUNCT
cjfa-8205	339	1	output	output	NOUN
cjfa-8205	339	2	of	of	ADP
cjfa-8205	339	3	nodes	node	NOUN
cjfa-8205	339	4	are	be	AUX
cjfa-8205	339	5	calculated	calculate	VERB
cjfa-8205	339	6	as	as	ADP
cjfa-8205	339	7	:	:	PUNCT
cjfa-8205	339	8	�	�	PROPN
cjfa-8205	339	9	�	�	PROPN
cjfa-8205	339	10	,	,	PUNCT
cjfa-8205	339	11	�	�	PROPN
cjfa-8205	339	12	=	=	SYM
cjfa-8205	339	13	�	�	PROPN
cjfa-8205	339	14	�	�	PROPN
cjfa-8205	339	15	�	�	PROPN
cjfa-8205	339	16	�	�	PROPN
cjfa-8205	339	17	�	�	PROPN
cjfa-8205	339	18	=	=	SYM
cjfa-8205	339	19	�	�	PROPN
cjfa-8205	339	20	�	�	PROPN
cjfa-8205	339	21	�	�	PROPN
cjfa-8205	339	22	�	�	PROPN
cjfa-8205	339	23	�	�	PROPN
cjfa-8205	339	24	�	�	PROPN
cjfa-8205	339	25	�	�	PROPN
cjfa-8205	339	26	�	�	PROPN
cjfa-8205	339	27	�	�	PROPN
cjfa-8205	339	28	�	�	PROPN
cjfa-8205	339	29	�	�	PROPN
cjfa-8205	339	30	�	�	PROPN
cjfa-8205	339	31	�	�	PROPN
cjfa-8205	339	32	�	�	PROPN
cjfa-8205	339	33	�	�	PROPN
cjfa-8205	339	34	.	.	PUNCT
cjfa-8205	340	1			X
cjfa-8205	340	2	5th	5th	ADJ
cjfa-8205	340	3	layer	layer	NOUN
cjfa-8205	340	4	.	.	PUNCT
cjfa-8205	341	1	this	this	PRON
cjfa-8205	341	2	is	be	AUX
cjfa-8205	341	3	an	an	DET
cjfa-8205	341	4	output	output	NOUN
cjfa-8205	341	5	layer	layer	NOUN
cjfa-8205	341	6	,	,	PUNCT
cjfa-8205	341	7	where	where	SCONJ
cjfa-8205	341	8	output	output	NOUN
cjfa-8205	341	9	value	value	NOUN
cjfa-8205	341	10	is	be	AUX
cjfa-8205	341	11	calculated	calculate	VERB
cjfa-8205	341	12	as	as	ADP
cjfa-8205	341	13	a	a	DET
cjfa-8205	341	14	sum	sum	NOUN
cjfa-8205	341	15	of	of	ADP
cjfa-8205	341	16	all	all	DET
cjfa-8205	341	17	inputs	input	NOUN
cjfa-8205	341	18	:	:	PUNCT
cjfa-8205	341	19	�	�	PROPN
cjfa-8205	341	20	�	�	PROPN
cjfa-8205	341	21	,	,	PUNCT
cjfa-8205	341	22	�	�	PROPN
cjfa-8205	341	23	=	=	SYM
cjfa-8205	341	24	�	�	PROPN
cjfa-8205	341	25	�	�	PROPN
cjfa-8205	341	26	�	�	PROPN
cjfa-8205	341	27	�	�	PROPN
cjfa-8205	341	28	�	�	PROPN
cjfa-8205	341	29	�	�	PROPN
cjfa-8205	341	30	�	�	PROPN
cjfa-8205	341	31	=	=	SYM
cjfa-8205	341	32	∑	∑	PUNCT
cjfa-8205	341	33	�	�	PROPN
cjfa-8205	341	34	�	�	PROPN
cjfa-8205	341	35	�	�	PROPN
cjfa-8205	341	36	�	�	PROPN
cjfa-8205	341	37	�	�	PROPN
cjfa-8205	341	38	�	�	PROPN
cjfa-8205	341	39	∑	∑	PUNCT
cjfa-8205	341	40	�	�	PROPN
cjfa-8205	341	41	�	�	PROPN
cjfa-8205	341	42	�	�	PROPN
cjfa-8205	341	43	.	.	PUNCT
cjfa-8205	342	1	in	in	ADP
cjfa-8205	342	2	this	this	DET
cjfa-8205	342	3	research	research	NOUN
cjfa-8205	342	4	,	,	PUNCT
cjfa-8205	342	5	two	two	NUM
cjfa-8205	342	6	types	type	NOUN
cjfa-8205	342	7	of	of	ADP
cjfa-8205	342	8	anfis	anfis	ADJ
cjfa-8205	342	9	model	model	NOUN
cjfa-8205	342	10	training	training	NOUN
cjfa-8205	342	11	algorithms	algorithm	NOUN
cjfa-8205	342	12	are	be	AUX
cjfa-8205	342	13	used	use	VERB
cjfa-8205	342	14	:	:	PUNCT
cjfa-8205	342	15	classical	classical	ADJ
cjfa-8205	342	16	gradient	gradient	NOUN
cjfa-8205	342	17	steepest	steep	ADJ
cjfa-8205	342	18	descend	descend	NOUN
cjfa-8205	342	19	backpropagation	backpropagation	NOUN
cjfa-8205	342	20	and	and	CCONJ
cjfa-8205	342	21	hybrid	hybrid	ADJ
cjfa-8205	342	22	training	training	NOUN
cjfa-8205	342	23	algorithm	algorithm	NOUN
cjfa-8205	342	24	.	.	PUNCT
cjfa-8205	343	1	hybrid	hybrid	ADJ
cjfa-8205	343	2	training	training	NOUN
cjfa-8205	343	3	combines	combine	VERB
cjfa-8205	343	4	gradient	gradient	ADJ
cjfa-8205	343	5	descend	descend	NOUN
cjfa-8205	343	6	backpropagation	backpropagation	NOUN
cjfa-8205	343	7	and	and	CCONJ
cjfa-8205	343	8	least	least	ADJ
cjfa-8205	343	9	squares	square	NOUN
cjfa-8205	343	10	methods	method	NOUN
cjfa-8205	343	11	.	.	PUNCT
cjfa-8205	344	1	backpropagation	backpropagation	NOUN
cjfa-8205	344	2	is	be	AUX
cjfa-8205	344	3	used	use	VERB
cjfa-8205	344	4	to	to	PART
cjfa-8205	344	5	tune	tune	NOUN
cjfa-8205	344	6	input	input	NOUN
cjfa-8205	344	7	layer	layer	NOUN
cjfa-8205	344	8	membership	membership	NOUN
cjfa-8205	344	9	function	function	NOUN
cjfa-8205	344	10	parameters	parameter	NOUN
cjfa-8205	344	11	,	,	PUNCT
cjfa-8205	344	12	while	while	SCONJ
cjfa-8205	344	13	least	least	ADJ
cjfa-8205	344	14	squares	square	NOUN
cjfa-8205	344	15	method	method	NOUN
cjfa-8205	344	16	is	be	AUX
cjfa-8205	344	17	used	use	VERB
cjfa-8205	344	18	for	for	ADP
cjfa-8205	344	19	output	output	NOUN
cjfa-8205	344	20	function	function	NOUN
cjfa-8205	344	21	parameter	parameter	NOUN
cjfa-8205	344	22	tuning	tuning	NOUN
cjfa-8205	344	23	.	.	PUNCT
cjfa-8205	345	1	for	for	ADP
cjfa-8205	345	2	input	input	NOUN
cjfa-8205	345	3	layer	layer	NOUN
cjfa-8205	345	4	membership	membership	NOUN
cjfa-8205	345	5	function	function	PROPN
cjfa-8205	345	6	parameter	parameter	PROPN
cjfa-8205	345	7	initialization	initialization	PROPN
cjfa-8205	345	8	fuzzy	fuzzy	ADJ
cjfa-8205	345	9	c	c	NOUN
cjfa-8205	345	10	-	-	PUNCT
cjfa-8205	345	11	means	means	NOUN
cjfa-8205	345	12	(	(	PUNCT
cjfa-8205	345	13	fcm	fcm	PROPN
cjfa-8205	345	14	)	)	PUNCT
cjfa-8205	345	15	clustering	cluster	VERB
cjfa-8205	345	16	algorithms	algorithms	NOUN
cjfa-8205	345	17	is	be	AUX
cjfa-8205	345	18	used	use	VERB
cjfa-8205	345	19	,	,	PUNCT
cjfa-8205	345	20	that	that	PRON
cjfa-8205	345	21	partitions	partition	VERB
cjfa-8205	345	22	data	datum	NOUN
cjfa-8205	345	23	of	of	ADP
cjfa-8205	345	24	the	the	DET
cjfa-8205	345	25	input	input	NOUN
cjfa-8205	345	26	space	space	NOUN
cjfa-8205	345	27	into	into	ADP
cjfa-8205	345	28	some	some	DET
cjfa-8205	345	29	number	number	NOUN
cjfa-8205	345	30	(	(	PUNCT
cjfa-8205	345	31	c	c	NOUN
cjfa-8205	345	32	)	)	PUNCT
cjfa-8205	345	33	of	of	ADP
cjfa-8205	345	34	clusters	cluster	NOUN
cjfa-8205	345	35	and	and	CCONJ
cjfa-8205	345	36	use	use	VERB
cjfa-8205	345	37	them	they	PRON
cjfa-8205	345	38	as	as	ADP
cjfa-8205	345	39	input	input	NOUN
cjfa-8205	345	40	membership	membership	NOUN
cjfa-8205	345	41	function	function	NOUN
cjfa-8205	345	42	initialization	initialization	NOUN
cjfa-8205	345	43	.	.	PUNCT
cjfa-8205	346	1	in	in	ADP
cjfa-8205	346	2	this	this	DET
cjfa-8205	346	3	research	research	NOUN
cjfa-8205	346	4	anfis	anfis	PROPN
cjfa-8205	346	5	model	model	NOUN
cjfa-8205	346	6	that	that	PRON
cjfa-8205	346	7	is	be	AUX
cjfa-8205	346	8	implemented	implement	VERB
cjfa-8205	346	9	in	in	ADP
cjfa-8205	346	10	matlab	matlab	PROPN
cjfa-8205	346	11	fuzzy	fuzzy	ADJ
cjfa-8205	346	12	logic	logic	NOUN
cjfa-8205	346	13	toolbox	toolbox	NOUN
cjfa-8205	346	14	is	be	AUX
cjfa-8205	346	15	used	use	VERB
cjfa-8205	346	16	.	.	PUNCT
cjfa-8205	347	1	■	■	PUNCT
cjfa-8205	347	2	3rd	3rd	ADJ
cjfa-8205	347	3	layer	layer	NOUN
cjfa-8205	347	4	.	.	PUNCT
cjfa-8205	348	1	each	each	DET
cjfa-8205	348	2	node	node	NOUN
cjfa-8205	348	3	of	of	ADP
cjfa-8205	348	4	this	this	DET
cjfa-8205	348	5	layer	layer	NOUN
cjfa-8205	348	6	is	be	AUX
cjfa-8205	348	7	also	also	ADV
cjfa-8205	348	8	fixed	fix	VERB
cjfa-8205	348	9	and	and	CCONJ
cjfa-8205	348	10	calculates	calculate	NOUN
cjfa-8205	348	11	normalized	normalize	VERB
cjfa-8205	348	12	rule	rule	NOUN
cjfa-8205	348	13	excitation	excitation	NOUN
cjfa-8205	348	14	degree	degree	NOUN
cjfa-8205	348	15	:	:	PUNCT
cjfa-8205	348	16	for	for	ADP
cjfa-8205	348	17	a	a	DET
cjfa-8205	348	18	1st	1st	ADJ
cjfa-8205	348	19	order	order	NOUN
cjfa-8205	348	20	of	of	ADP
cjfa-8205	348	21	sugeno	sugeno	ADJ
cjfa-8205	348	22	fuzzy	fuzzy	ADJ
cjfa-8205	348	23	model	model	NOUN
cjfa-8205	348	24	,	,	PUNCT
cjfa-8205	348	25	a	a	DET
cjfa-8205	348	26	typical	typical	ADJ
cjfa-8205	348	27	if	if	SCONJ
cjfa-8205	348	28	-	-	PUNCT
cjfa-8205	348	29	then	then	ADV
cjfa-8205	348	30	rule	rule	NOUN
cjfa-8205	348	31	set	set	NOUN
cjfa-8205	348	32	can	can	AUX
cjfa-8205	348	33	be	be	AUX
cjfa-8205	348	34	expressed	express	VERB
cjfa-8205	348	35	as	as	ADP
cjfa-8205	348	36	:	:	PUNCT
cjfa-8205	348	37	1	1	NUM
cjfa-8205	348	38	)	)	PUNCT
cjfa-8205	348	39	if	if	SCONJ
cjfa-8205	348	40	x	x	PRON
cjfa-8205	348	41	is	be	AUX
cjfa-8205	348	42	a1	a1	NOUN
cjfa-8205	348	43	and	and	CCONJ
cjfa-8205	348	44	y	y	PROPN
cjfa-8205	348	45	is	be	AUX
cjfa-8205	348	46	b1	b1	NOUN
cjfa-8205	348	47	then	then	ADV
cjfa-8205	348	48	f1	f1	NOUN
cjfa-8205	348	49	=	=	PUNCT
cjfa-8205	348	50	p1x	p1x	NOUN
cjfa-8205	348	51	+	+	CCONJ
cjfa-8205	348	52	q1y	q1y	PROPN
cjfa-8205	348	53	+	+	CCONJ
cjfa-8205	348	54	r1	r1	NOUN
cjfa-8205	348	55	;	;	PUNCT
cjfa-8205	348	56	2	2	X
cjfa-8205	348	57	)	)	PUNCT
cjfa-8205	348	58	if	if	SCONJ
cjfa-8205	348	59	x	x	PRON
cjfa-8205	348	60	is	be	AUX
cjfa-8205	348	61	a2	a2	PROPN
cjfa-8205	348	62	and	and	CCONJ
cjfa-8205	348	63	y	y	PROPN
cjfa-8205	348	64	is	be	AUX
cjfa-8205	348	65	b2	b2	NOUN
cjfa-8205	348	66	then	then	ADV
cjfa-8205	348	67	f2	f2	ADV
cjfa-8205	348	68	=	=	SYM
cjfa-8205	348	69	p2x	p2x	PROPN
cjfa-8205	348	70	+	+	CCONJ
cjfa-8205	348	71	q2y	q2y	PROPN
cjfa-8205	348	72	+	+	NUM
cjfa-8205	348	73	r2	r2	NOUN
cjfa-8205	348	74	.	.	PUNCT
cjfa-8205	349	1	further	far	ADV
cjfa-8205	349	2	each	each	PRON
cjfa-8205	349	3	of	of	ADP
cjfa-8205	349	4	five	five	NUM
cjfa-8205	349	5	layer	layer	NOUN
cjfa-8205	349	6	functionality	functionality	NOUN
cjfa-8205	349	7	is	be	AUX
cjfa-8205	349	8	shortly	shortly	ADV
cjfa-8205	349	9	explained	explain	VERB
cjfa-8205	349	10	:	:	PUNCT
cjfa-8205	349	11			NOUN
cjfa-8205	349	12	1st	1st	ADJ
cjfa-8205	349	13	layer	layer	NOUN
cjfa-8205	349	14	.	.	PUNCT
cjfa-8205	350	1	forms	form	NOUN
cjfa-8205	350	2	output	output	NOUN
cjfa-8205	350	3	,	,	PUNCT
cjfa-8205	350	4	which	which	PRON
cjfa-8205	350	5	determines	determine	VERB
cjfa-8205	350	6	membership	membership	NOUN
cjfa-8205	350	7	degree	degree	NOUN
cjfa-8205	350	8	in	in	ADP
cjfa-8205	350	9	each	each	PRON
cjfa-8205	350	10	of	of	ADP
cjfa-8205	350	11	membership	membership	NOUN
cjfa-8205	350	12	functions	function	NOUN
cjfa-8205	350	13	(	(	PUNCT
cjfa-8205	350	14	µa1	µa1	NOUN
cjfa-8205	350	15	,	,	PUNCT
cjfa-8205	350	16	µa2	µa2	ADV
cjfa-8205	350	17	,	,	PUNCT
cjfa-8205	350	18	µb1	µb1	VERB
cjfa-8205	350	19	,	,	PUNCT
cjfa-8205	350	20	µb2	µb2	NOUN
cjfa-8205	350	21	):	):	PUNCT
cjfa-8205	350	22	�	�	PROPN
cjfa-8205	350	23	�	�	PROPN
cjfa-8205	350	24	,	,	PUNCT
cjfa-8205	350	25	�	�	PROPN
cjfa-8205	350	26	=	=	SYM
cjfa-8205	350	27	�	�	PROPN
cjfa-8205	350	28	�	�	PROPN
cjfa-8205	350	29	�	�	PROPN
cjfa-8205	350	30	�	�	PROPN
cjfa-8205	350	31	�	�	PROPN
cjfa-8205	350	32	�	�	PROPN
cjfa-8205	350	33	,	,	PUNCT
cjfa-8205	350	34	�	�	PROPN
cjfa-8205	350	35	=	=	SYM
cjfa-8205	350	36	�	�	PROPN
cjfa-8205	350	37	,	,	PUNCT
cjfa-8205	350	38	�	�	PROPN
cjfa-8205	350	39	,	,	PUNCT
cjfa-8205	350	40	�	�	PROPN
cjfa-8205	350	41	�	�	PROPN
cjfa-8205	350	42	,	,	PUNCT
cjfa-8205	350	43	�	�	PROPN
cjfa-8205	350	44	=	=	SYM
cjfa-8205	350	45	�	�	PROPN
cjfa-8205	350	46	�	�	PROPN
cjfa-8205	350	47	�	�	PROPN
cjfa-8205	350	48	�	�	PROPN
cjfa-8205	350	49	�	�	PROPN
cjfa-8205	350	50	�	�	PROPN
cjfa-8205	350	51	�	�	PROPN
cjfa-8205	350	52	�	�	PROPN
cjfa-8205	350	53	,	,	PUNCT
cjfa-8205	350	54	�	�	PROPN
cjfa-8205	350	55	=	=	SYM
cjfa-8205	350	56	�	�	PROPN
cjfa-8205	350	57	,	,	PUNCT
cjfa-8205	350	58	�	�	PROPN
cjfa-8205	350	59	.	.	PUNCT
cjfa-8205	350	60			PROPN
cjfa-8205	351	1	2nd	2nd	ADJ
cjfa-8205	351	2	layer	layer	NOUN
cjfa-8205	351	3	.	.	PUNCT
cjfa-8205	352	1	in	in	ADP
cjfa-8205	352	2	this	this	DET
cjfa-8205	352	3	layer	layer	NOUN
cjfa-8205	352	4	each	each	DET
cjfa-8205	352	5	node	node	NOUN
cjfa-8205	352	6	is	be	AUX
cjfa-8205	352	7	fixed	fix	VERB
cjfa-8205	352	8	and	and	CCONJ
cjfa-8205	352	9	represents	represent	VERB
cjfa-8205	352	10	weight	weight	NOUN
cjfa-8205	352	11	of	of	ADP
cjfa-8205	352	12	particular	particular	ADJ
cjfa-8205	352	13	rule	rule	NOUN
cjfa-8205	352	14	.	.	PUNCT
cjfa-8205	353	1	in	in	ADP
cjfa-8205	353	2	this	this	DET
cjfa-8205	353	3	node	node	NOUN
cjfa-8205	353	4	and	and	CCONJ
cjfa-8205	353	5	operation	operation	NOUN
cjfa-8205	353	6	is	be	AUX
cjfa-8205	353	7	performed	perform	VERB
cjfa-8205	353	8	,	,	PUNCT
cjfa-8205	353	9	which	which	PRON
cjfa-8205	353	10	is	be	AUX
cjfa-8205	353	11	product	product	NOUN
cjfa-8205	353	12	of	of	ADP
cjfa-8205	353	13	inputs	input	NOUN
cjfa-8205	353	14	:	:	PUNCT
cjfa-8205	353	15	�	�	PROPN
cjfa-8205	353	16	�	�	PROPN
cjfa-8205	353	17	,	,	PUNCT
cjfa-8205	353	18	�	�	PROPN
cjfa-8205	353	19	=	=	SYM
cjfa-8205	353	20	�	�	PROPN
cjfa-8205	353	21	�	�	PROPN
cjfa-8205	353	22	=	=	SYM
cjfa-8205	353	23	�	�	PROPN
cjfa-8205	353	24	�	�	PROPN
cjfa-8205	353	25	�	�	PROPN
cjfa-8205	353	26	�	�	PROPN
cjfa-8205	353	27	�	�	PROPN
cjfa-8205	353	28	�	�	PROPN
cjfa-8205	353	29	�	�	PROPN
cjfa-8205	353	30	�	�	PROPN
cjfa-8205	353	31	�	�	PROPN
cjfa-8205	353	32	�	�	PROPN
cjfa-8205	353	33	�	�	PROPN
cjfa-8205	353	34	�	�	PROPN
cjfa-8205	353	35	�	�	PROPN
cjfa-8205	353	36	,	,	PUNCT
cjfa-8205	353	37	�	�	PROPN
cjfa-8205	353	38	=	=	SYM
cjfa-8205	353	39	�	�	PROPN
cjfa-8205	353	40	,	,	PUNCT
cjfa-8205	353	41	�	�	PROPN
cjfa-8205	353	42	.	.	PUNCT
cjfa-8205	354	1			X
cjfa-8205	355	1	3rd	3rd	ADJ
cjfa-8205	355	2	layer	layer	NOUN
cjfa-8205	355	3	.	.	PUNCT
cjfa-8205	356	1	each	each	DET
cjfa-8205	356	2	node	node	NOUN
cjfa-8205	356	3	of	of	ADP
cjfa-8205	356	4	this	this	DET
cjfa-8205	356	5	layer	layer	NOUN
cjfa-8205	356	6	is	be	AUX
cjfa-8205	356	7	also	also	ADV
cjfa-8205	356	8	fixed	fix	VERB
cjfa-8205	356	9	and	and	CCONJ
cjfa-8205	356	10	calculates	calculate	NOUN
cjfa-8205	356	11	normalized	normalize	VERB
cjfa-8205	356	12	rule	rule	NOUN
cjfa-8205	356	13	excitation	excitation	NOUN
cjfa-8205	356	14	degree	degree	NOUN
cjfa-8205	356	15	:	:	PUNCT
cjfa-8205	356	16	�	�	PROPN
cjfa-8205	356	17	�	�	PROPN
cjfa-8205	356	18	,	,	PUNCT
cjfa-8205	356	19	�	�	PROPN
cjfa-8205	356	20	=	=	SYM
cjfa-8205	356	21	�	�	PROPN
cjfa-8205	356	22	�	�	PROPN
cjfa-8205	356	23	�	�	PROPN
cjfa-8205	356	24	=	=	SYM
cjfa-8205	356	25	�	�	PROPN
cjfa-8205	356	26	�	�	PROPN
cjfa-8205	356	27	�	�	PROPN
cjfa-8205	356	28	�	�	PROPN
cjfa-8205	356	29	�	�	PROPN
cjfa-8205	356	30	�	�	PROPN
cjfa-8205	356	31	�	�	PROPN
cjfa-8205	356	32	,	,	PUNCT
cjfa-8205	356	33	�	�	PROPN
cjfa-8205	356	34	=	=	SYM
cjfa-8205	356	35	�	�	PROPN
cjfa-8205	356	36	,	,	PUNCT
cjfa-8205	356	37	�	�	PROPN
cjfa-8205	356	38	.	.	PUNCT
cjfa-8205	357	1			PUNCT
cjfa-8205	357	2	4th	4th	ADJ
cjfa-8205	357	3	layer	layer	NOUN
cjfa-8205	357	4	.	.	PUNCT
cjfa-8205	358	1	this	this	DET
cjfa-8205	358	2	layer	layer	NOUN
cjfa-8205	358	3	is	be	AUX
cjfa-8205	358	4	not	not	PART
cjfa-8205	358	5	fixed	fix	VERB
cjfa-8205	358	6	as	as	ADP
cjfa-8205	358	7	other	other	ADJ
cjfa-8205	358	8	and	and	CCONJ
cjfa-8205	358	9	parameters	parameter	NOUN
cjfa-8205	358	10	(	(	PUNCT
cjfa-8205	358	11	pi	pi	NOUN
cjfa-8205	358	12	,	,	PUNCT
cjfa-8205	358	13	qi	qi	PROPN
cjfa-8205	358	14	,	,	PUNCT
cjfa-8205	358	15	ri	ri	PROPN
cjfa-8205	358	16	)	)	PUNCT
cjfa-8205	358	17	are	be	AUX
cjfa-8205	358	18	estimated	estimate	VERB
cjfa-8205	358	19	during	during	ADP
cjfa-8205	358	20	training	training	NOUN
cjfa-8205	358	21	process	process	NOUN
cjfa-8205	358	22	.	.	PUNCT
cjfa-8205	359	1	output	output	NOUN
cjfa-8205	359	2	of	of	ADP
cjfa-8205	359	3	nodes	node	NOUN
cjfa-8205	359	4	are	be	AUX
cjfa-8205	359	5	calculated	calculate	VERB
cjfa-8205	359	6	as	as	ADP
cjfa-8205	359	7	:	:	PUNCT
cjfa-8205	359	8	�	�	PROPN
cjfa-8205	359	9	�	�	PROPN
cjfa-8205	359	10	,	,	PUNCT
cjfa-8205	359	11	�	�	PROPN
cjfa-8205	359	12	=	=	SYM
cjfa-8205	359	13	�	�	PROPN
cjfa-8205	359	14	�	�	PROPN
cjfa-8205	359	15	�	�	PROPN
cjfa-8205	359	16	�	�	PROPN
cjfa-8205	359	17	�	�	PROPN
cjfa-8205	359	18	=	=	SYM
cjfa-8205	359	19	�	�	PROPN
cjfa-8205	359	20	�	�	PROPN
cjfa-8205	359	21	�	�	PROPN
cjfa-8205	359	22	�	�	PROPN
cjfa-8205	359	23	�	�	PROPN
cjfa-8205	359	24	�	�	PROPN
cjfa-8205	359	25	�	�	PROPN
cjfa-8205	359	26	�	�	PROPN
cjfa-8205	359	27	�	�	PROPN
cjfa-8205	359	28	�	�	PROPN
cjfa-8205	359	29	�	�	PROPN
cjfa-8205	359	30	�	�	PROPN
cjfa-8205	359	31	�	�	PROPN
cjfa-8205	359	32	�	�	PROPN
cjfa-8205	359	33	�	�	PROPN
cjfa-8205	359	34	.	.	PUNCT
cjfa-8205	360	1			X
cjfa-8205	360	2	5th	5th	ADJ
cjfa-8205	360	3	layer	layer	NOUN
cjfa-8205	360	4	.	.	PUNCT
cjfa-8205	361	1	this	this	PRON
cjfa-8205	361	2	is	be	AUX
cjfa-8205	361	3	an	an	DET
cjfa-8205	361	4	output	output	NOUN
cjfa-8205	361	5	layer	layer	NOUN
cjfa-8205	361	6	,	,	PUNCT
cjfa-8205	361	7	where	where	SCONJ
cjfa-8205	361	8	output	output	NOUN
cjfa-8205	361	9	value	value	NOUN
cjfa-8205	361	10	is	be	AUX
cjfa-8205	361	11	calculated	calculate	VERB
cjfa-8205	361	12	as	as	ADP
cjfa-8205	361	13	a	a	DET
cjfa-8205	361	14	sum	sum	NOUN
cjfa-8205	361	15	of	of	ADP
cjfa-8205	361	16	all	all	DET
cjfa-8205	361	17	inputs	input	NOUN
cjfa-8205	361	18	:	:	PUNCT
cjfa-8205	361	19	�	�	PROPN
cjfa-8205	361	20	�	�	PROPN
cjfa-8205	361	21	,	,	PUNCT
cjfa-8205	361	22	�	�	PROPN
cjfa-8205	361	23	=	=	SYM
cjfa-8205	361	24	�	�	PROPN
cjfa-8205	361	25	�	�	PROPN
cjfa-8205	361	26	�	�	PROPN
cjfa-8205	361	27	�	�	PROPN
cjfa-8205	361	28	�	�	PROPN
cjfa-8205	361	29	�	�	PROPN
cjfa-8205	361	30	�	�	PROPN
cjfa-8205	361	31	=	=	SYM
cjfa-8205	361	32	∑	∑	PUNCT
cjfa-8205	361	33	�	�	PROPN
cjfa-8205	361	34	�	�	PROPN
cjfa-8205	361	35	�	�	PROPN
cjfa-8205	361	36	�	�	PROPN
cjfa-8205	361	37	�	�	PROPN
cjfa-8205	361	38	�	�	PROPN
cjfa-8205	361	39	∑	∑	PUNCT
cjfa-8205	361	40	�	�	PROPN
cjfa-8205	361	41	�	�	PROPN
cjfa-8205	361	42	�	�	PROPN
cjfa-8205	361	43	.	.	PUNCT
cjfa-8205	362	1	in	in	ADP
cjfa-8205	362	2	this	this	DET
cjfa-8205	362	3	research	research	NOUN
cjfa-8205	362	4	,	,	PUNCT
cjfa-8205	362	5	two	two	NUM
cjfa-8205	362	6	types	type	NOUN
cjfa-8205	362	7	of	of	ADP
cjfa-8205	362	8	anfis	anfis	ADJ
cjfa-8205	362	9	model	model	NOUN
cjfa-8205	362	10	training	training	NOUN
cjfa-8205	362	11	algorithms	algorithm	NOUN
cjfa-8205	362	12	are	be	AUX
cjfa-8205	362	13	used	use	VERB
cjfa-8205	362	14	:	:	PUNCT
cjfa-8205	362	15	classical	classical	ADJ
cjfa-8205	362	16	gradient	gradient	NOUN
cjfa-8205	362	17	steepest	steep	ADJ
cjfa-8205	362	18	descend	descend	NOUN
cjfa-8205	362	19	backpropagation	backpropagation	NOUN
cjfa-8205	362	20	and	and	CCONJ
cjfa-8205	362	21	hybrid	hybrid	ADJ
cjfa-8205	362	22	training	training	NOUN
cjfa-8205	362	23	algorithm	algorithm	NOUN
cjfa-8205	362	24	.	.	PUNCT
cjfa-8205	363	1	hybrid	hybrid	ADJ
cjfa-8205	363	2	training	training	NOUN
cjfa-8205	363	3	combines	combine	VERB
cjfa-8205	363	4	gradient	gradient	ADJ
cjfa-8205	363	5	descend	descend	NOUN
cjfa-8205	363	6	backpropagation	backpropagation	NOUN
cjfa-8205	363	7	and	and	CCONJ
cjfa-8205	363	8	least	least	ADJ
cjfa-8205	363	9	squares	square	NOUN
cjfa-8205	363	10	methods	method	NOUN
cjfa-8205	363	11	.	.	PUNCT
cjfa-8205	364	1	backpropagation	backpropagation	NOUN
cjfa-8205	364	2	is	be	AUX
cjfa-8205	364	3	used	use	VERB
cjfa-8205	364	4	to	to	PART
cjfa-8205	364	5	tune	tune	NOUN
cjfa-8205	364	6	input	input	NOUN
cjfa-8205	364	7	layer	layer	NOUN
cjfa-8205	364	8	membership	membership	NOUN
cjfa-8205	364	9	function	function	NOUN
cjfa-8205	364	10	parameters	parameter	NOUN
cjfa-8205	364	11	,	,	PUNCT
cjfa-8205	364	12	while	while	SCONJ
cjfa-8205	364	13	least	least	ADJ
cjfa-8205	364	14	squares	square	NOUN
cjfa-8205	364	15	method	method	NOUN
cjfa-8205	364	16	is	be	AUX
cjfa-8205	364	17	used	use	VERB
cjfa-8205	364	18	for	for	ADP
cjfa-8205	364	19	output	output	NOUN
cjfa-8205	364	20	function	function	NOUN
cjfa-8205	364	21	parameter	parameter	NOUN
cjfa-8205	364	22	tuning	tuning	NOUN
cjfa-8205	364	23	.	.	PUNCT
cjfa-8205	365	1	for	for	ADP
cjfa-8205	365	2	input	input	NOUN
cjfa-8205	365	3	layer	layer	NOUN
cjfa-8205	365	4	membership	membership	NOUN
cjfa-8205	365	5	function	function	PROPN
cjfa-8205	365	6	parameter	parameter	PROPN
cjfa-8205	365	7	initialization	initialization	PROPN
cjfa-8205	365	8	fuzzy	fuzzy	ADJ
cjfa-8205	365	9	c	c	NOUN
cjfa-8205	365	10	-	-	PUNCT
cjfa-8205	365	11	means	means	NOUN
cjfa-8205	365	12	(	(	PUNCT
cjfa-8205	365	13	fcm	fcm	PROPN
cjfa-8205	365	14	)	)	PUNCT
cjfa-8205	365	15	clustering	cluster	VERB
cjfa-8205	365	16	algorithms	algorithms	NOUN
cjfa-8205	365	17	is	be	AUX
cjfa-8205	365	18	used	use	VERB
cjfa-8205	365	19	,	,	PUNCT
cjfa-8205	365	20	that	that	PRON
cjfa-8205	365	21	partitions	partition	VERB
cjfa-8205	365	22	data	datum	NOUN
cjfa-8205	365	23	of	of	ADP
cjfa-8205	365	24	the	the	DET
cjfa-8205	365	25	input	input	NOUN
cjfa-8205	365	26	space	space	NOUN
cjfa-8205	365	27	into	into	ADP
cjfa-8205	365	28	some	some	DET
cjfa-8205	365	29	number	number	NOUN
cjfa-8205	365	30	(	(	PUNCT
cjfa-8205	365	31	c	c	NOUN
cjfa-8205	365	32	)	)	PUNCT
cjfa-8205	365	33	of	of	ADP
cjfa-8205	365	34	clusters	cluster	NOUN
cjfa-8205	365	35	and	and	CCONJ
cjfa-8205	365	36	use	use	VERB
cjfa-8205	365	37	them	they	PRON
cjfa-8205	365	38	as	as	ADP
cjfa-8205	365	39	input	input	NOUN
cjfa-8205	365	40	membership	membership	NOUN
cjfa-8205	365	41	function	function	NOUN
cjfa-8205	365	42	initialization	initialization	NOUN
cjfa-8205	365	43	.	.	PUNCT
cjfa-8205	366	1	in	in	ADP
cjfa-8205	366	2	this	this	DET
cjfa-8205	366	3	research	research	NOUN
cjfa-8205	366	4	anfis	anfis	PROPN
cjfa-8205	366	5	model	model	NOUN
cjfa-8205	366	6	that	that	PRON
cjfa-8205	366	7	is	be	AUX
cjfa-8205	366	8	implemented	implement	VERB
cjfa-8205	366	9	in	in	ADP
cjfa-8205	366	10	matlab	matlab	PROPN
cjfa-8205	366	11	fuzzy	fuzzy	ADJ
cjfa-8205	366	12	logic	logic	NOUN
cjfa-8205	366	13	toolbox	toolbox	NOUN
cjfa-8205	366	14	is	be	AUX
cjfa-8205	366	15	used	use	VERB
cjfa-8205	366	16	.	.	PUNCT
cjfa-8205	367	1	■	■	PUNCT
cjfa-8205	367	2	4th	4th	ADJ
cjfa-8205	367	3	layer	layer	NOUN
cjfa-8205	367	4	.	.	PUNCT
cjfa-8205	368	1	this	this	DET
cjfa-8205	368	2	layer	layer	NOUN
cjfa-8205	368	3	is	be	AUX
cjfa-8205	368	4	not	not	PART
cjfa-8205	368	5	fixed	fix	VERB
cjfa-8205	368	6	as	as	ADP
cjfa-8205	368	7	other	other	ADJ
cjfa-8205	368	8	and	and	CCONJ
cjfa-8205	368	9	parameters	parameter	NOUN
cjfa-8205	368	10	(	(	PUNCT
cjfa-8205	368	11	pi	pi	NOUN
cjfa-8205	368	12	,	,	PUNCT
cjfa-8205	368	13	qi	qi	PROPN
cjfa-8205	368	14	,	,	PUNCT
cjfa-8205	368	15	ri	ri	PROPN
cjfa-8205	368	16	)	)	PUNCT
cjfa-8205	368	17	are	be	AUX
cjfa-8205	368	18	estimated	estimate	VERB
cjfa-8205	368	19	during	during	ADP
cjfa-8205	368	20	training	training	NOUN
cjfa-8205	368	21	process	process	NOUN
cjfa-8205	368	22	.	.	PUNCT
cjfa-8205	369	1	output	output	NOUN
cjfa-8205	369	2	of	of	ADP
cjfa-8205	369	3	nodes	node	NOUN
cjfa-8205	369	4	are	be	AUX
cjfa-8205	369	5	calculated	calculate	VERB
cjfa-8205	369	6	as	as	ADP
cjfa-8205	369	7	:	:	PUNCT
cjfa-8205	369	8	for	for	ADP
cjfa-8205	369	9	a	a	DET
cjfa-8205	369	10	1st	1st	ADJ
cjfa-8205	369	11	order	order	NOUN
cjfa-8205	369	12	of	of	ADP
cjfa-8205	369	13	sugeno	sugeno	ADJ
cjfa-8205	369	14	fuzzy	fuzzy	ADJ
cjfa-8205	369	15	model	model	NOUN
cjfa-8205	369	16	,	,	PUNCT
cjfa-8205	369	17	a	a	DET
cjfa-8205	369	18	typical	typical	ADJ
cjfa-8205	369	19	if	if	SCONJ
cjfa-8205	369	20	-	-	PUNCT
cjfa-8205	369	21	then	then	ADV
cjfa-8205	369	22	rule	rule	NOUN
cjfa-8205	369	23	set	set	NOUN
cjfa-8205	369	24	can	can	AUX
cjfa-8205	369	25	be	be	AUX
cjfa-8205	369	26	expressed	express	VERB
cjfa-8205	369	27	as	as	ADP
cjfa-8205	369	28	:	:	PUNCT
cjfa-8205	369	29	1	1	NUM
cjfa-8205	369	30	)	)	PUNCT
cjfa-8205	369	31	if	if	SCONJ
cjfa-8205	369	32	x	x	PRON
cjfa-8205	369	33	is	be	AUX
cjfa-8205	369	34	a1	a1	NOUN
cjfa-8205	369	35	and	and	CCONJ
cjfa-8205	369	36	y	y	PROPN
cjfa-8205	369	37	is	be	AUX
cjfa-8205	369	38	b1	b1	NOUN
cjfa-8205	369	39	then	then	ADV
cjfa-8205	369	40	f1	f1	NOUN
cjfa-8205	369	41	=	=	PUNCT
cjfa-8205	369	42	p1x	p1x	NOUN
cjfa-8205	369	43	+	+	CCONJ
cjfa-8205	369	44	q1y	q1y	PROPN
cjfa-8205	369	45	+	+	CCONJ
cjfa-8205	369	46	r1	r1	NOUN
cjfa-8205	369	47	;	;	PUNCT
cjfa-8205	369	48	2	2	X
cjfa-8205	369	49	)	)	PUNCT
cjfa-8205	369	50	if	if	SCONJ
cjfa-8205	369	51	x	x	PRON
cjfa-8205	369	52	is	be	AUX
cjfa-8205	369	53	a2	a2	PROPN
cjfa-8205	369	54	and	and	CCONJ
cjfa-8205	369	55	y	y	PROPN
cjfa-8205	369	56	is	be	AUX
cjfa-8205	369	57	b2	b2	NOUN
cjfa-8205	369	58	then	then	ADV
cjfa-8205	369	59	f2	f2	ADV
cjfa-8205	369	60	=	=	SYM
cjfa-8205	369	61	p2x	p2x	PROPN
cjfa-8205	369	62	+	+	CCONJ
cjfa-8205	369	63	q2y	q2y	PROPN
cjfa-8205	370	1	+	+	NUM
cjfa-8205	370	2	r2	r2	NOUN
cjfa-8205	370	3	.	.	PUNCT
cjfa-8205	371	1	further	far	ADV
cjfa-8205	371	2	each	each	PRON
cjfa-8205	371	3	of	of	ADP
cjfa-8205	371	4	five	five	NUM
cjfa-8205	371	5	layer	layer	NOUN
cjfa-8205	371	6	functionality	functionality	NOUN
cjfa-8205	371	7	is	be	AUX
cjfa-8205	371	8	shortly	shortly	ADV
cjfa-8205	371	9	explained	explain	VERB
cjfa-8205	371	10	:	:	PUNCT
cjfa-8205	371	11			NOUN
cjfa-8205	371	12	1st	1st	ADJ
cjfa-8205	371	13	layer	layer	NOUN
cjfa-8205	371	14	.	.	PUNCT
cjfa-8205	372	1	forms	form	NOUN
cjfa-8205	372	2	output	output	NOUN
cjfa-8205	372	3	,	,	PUNCT
cjfa-8205	372	4	which	which	PRON
cjfa-8205	372	5	determines	determine	VERB
cjfa-8205	372	6	membership	membership	NOUN
cjfa-8205	372	7	degree	degree	NOUN
cjfa-8205	372	8	in	in	ADP
cjfa-8205	372	9	each	each	PRON
cjfa-8205	372	10	of	of	ADP
cjfa-8205	372	11	membership	membership	NOUN
cjfa-8205	372	12	functions	function	NOUN
cjfa-8205	372	13	(	(	PUNCT
cjfa-8205	372	14	µa1	µa1	NOUN
cjfa-8205	372	15	,	,	PUNCT
cjfa-8205	372	16	µa2	µa2	ADV
cjfa-8205	372	17	,	,	PUNCT
cjfa-8205	372	18	µb1	µb1	VERB
cjfa-8205	372	19	,	,	PUNCT
cjfa-8205	372	20	µb2	µb2	NOUN
cjfa-8205	372	21	):	):	PUNCT
cjfa-8205	372	22	�	�	PROPN
cjfa-8205	372	23	�	�	PROPN
cjfa-8205	372	24	,	,	PUNCT
cjfa-8205	372	25	�	�	PROPN
cjfa-8205	372	26	=	=	SYM
cjfa-8205	372	27	�	�	PROPN
cjfa-8205	372	28	�	�	PROPN
cjfa-8205	372	29	�	�	PROPN
cjfa-8205	372	30	�	�	PROPN
cjfa-8205	372	31	�	�	PROPN
cjfa-8205	372	32	�	�	PROPN
cjfa-8205	372	33	,	,	PUNCT
cjfa-8205	372	34	�	�	PROPN
cjfa-8205	372	35	=	=	SYM
cjfa-8205	372	36	�	�	PROPN
cjfa-8205	372	37	,	,	PUNCT
cjfa-8205	372	38	�	�	PROPN
cjfa-8205	372	39	,	,	PUNCT
cjfa-8205	372	40	�	�	PROPN
cjfa-8205	372	41	�	�	PROPN
cjfa-8205	372	42	,	,	PUNCT
cjfa-8205	372	43	�	�	PROPN
cjfa-8205	372	44	=	=	SYM
cjfa-8205	372	45	�	�	PROPN
cjfa-8205	372	46	�	�	PROPN
cjfa-8205	372	47	�	�	PROPN
cjfa-8205	372	48	�	�	PROPN
cjfa-8205	372	49	�	�	PROPN
cjfa-8205	372	50	�	�	PROPN
cjfa-8205	372	51	�	�	PROPN
cjfa-8205	372	52	�	�	PROPN
cjfa-8205	372	53	,	,	PUNCT
cjfa-8205	372	54	�	�	PROPN
cjfa-8205	372	55	=	=	SYM
cjfa-8205	372	56	�	�	PROPN
cjfa-8205	372	57	,	,	PUNCT
cjfa-8205	372	58	�	�	PROPN
cjfa-8205	372	59	.	.	PUNCT
cjfa-8205	372	60			PROPN
cjfa-8205	373	1	2nd	2nd	ADJ
cjfa-8205	373	2	layer	layer	NOUN
cjfa-8205	373	3	.	.	PUNCT
cjfa-8205	374	1	in	in	ADP
cjfa-8205	374	2	this	this	DET
cjfa-8205	374	3	layer	layer	NOUN
cjfa-8205	374	4	each	each	DET
cjfa-8205	374	5	node	node	NOUN
cjfa-8205	374	6	is	be	AUX
cjfa-8205	374	7	fixed	fix	VERB
cjfa-8205	374	8	and	and	CCONJ
cjfa-8205	374	9	represents	represent	VERB
cjfa-8205	374	10	weight	weight	NOUN
cjfa-8205	374	11	of	of	ADP
cjfa-8205	374	12	particular	particular	ADJ
cjfa-8205	374	13	rule	rule	NOUN
cjfa-8205	374	14	.	.	PUNCT
cjfa-8205	375	1	in	in	ADP
cjfa-8205	375	2	this	this	DET
cjfa-8205	375	3	node	node	NOUN
cjfa-8205	375	4	and	and	CCONJ
cjfa-8205	375	5	operation	operation	NOUN
cjfa-8205	375	6	is	be	AUX
cjfa-8205	375	7	performed	perform	VERB
cjfa-8205	375	8	,	,	PUNCT
cjfa-8205	375	9	which	which	PRON
cjfa-8205	375	10	is	be	AUX
cjfa-8205	375	11	product	product	NOUN
cjfa-8205	375	12	of	of	ADP
cjfa-8205	375	13	inputs	input	NOUN
cjfa-8205	375	14	:	:	PUNCT
cjfa-8205	375	15	�	�	PROPN
cjfa-8205	375	16	�	�	PROPN
cjfa-8205	375	17	,	,	PUNCT
cjfa-8205	375	18	�	�	PROPN
cjfa-8205	375	19	=	=	SYM
cjfa-8205	375	20	�	�	PROPN
cjfa-8205	375	21	�	�	PROPN
cjfa-8205	375	22	=	=	SYM
cjfa-8205	375	23	�	�	PROPN
cjfa-8205	375	24	�	�	PROPN
cjfa-8205	375	25	�	�	PROPN
cjfa-8205	375	26	�	�	PROPN
cjfa-8205	375	27	�	�	PROPN
cjfa-8205	375	28	�	�	PROPN
cjfa-8205	375	29	�	�	PROPN
cjfa-8205	375	30	�	�	PROPN
cjfa-8205	375	31	�	�	PROPN
cjfa-8205	375	32	�	�	PROPN
cjfa-8205	375	33	�	�	PROPN
cjfa-8205	375	34	�	�	PROPN
cjfa-8205	375	35	�	�	PROPN
cjfa-8205	375	36	,	,	PUNCT
cjfa-8205	375	37	�	�	PROPN
cjfa-8205	375	38	=	=	SYM
cjfa-8205	375	39	�	�	PROPN
cjfa-8205	375	40	,	,	PUNCT
cjfa-8205	375	41	�	�	PROPN
cjfa-8205	375	42	.	.	PUNCT
cjfa-8205	376	1			X
cjfa-8205	377	1	3rd	3rd	ADJ
cjfa-8205	377	2	layer	layer	NOUN
cjfa-8205	377	3	.	.	PUNCT
cjfa-8205	378	1	each	each	DET
cjfa-8205	378	2	node	node	NOUN
cjfa-8205	378	3	of	of	ADP
cjfa-8205	378	4	this	this	DET
cjfa-8205	378	5	layer	layer	NOUN
cjfa-8205	378	6	is	be	AUX
cjfa-8205	378	7	also	also	ADV
cjfa-8205	378	8	fixed	fix	VERB
cjfa-8205	378	9	and	and	CCONJ
cjfa-8205	378	10	calculates	calculate	NOUN
cjfa-8205	378	11	normalized	normalize	VERB
cjfa-8205	378	12	rule	rule	NOUN
cjfa-8205	378	13	excitation	excitation	NOUN
cjfa-8205	378	14	degree	degree	NOUN
cjfa-8205	378	15	:	:	PUNCT
cjfa-8205	378	16	�	�	PROPN
cjfa-8205	378	17	�	�	PROPN
cjfa-8205	378	18	,	,	PUNCT
cjfa-8205	378	19	�	�	PROPN
cjfa-8205	378	20	=	=	SYM
cjfa-8205	378	21	�	�	PROPN
cjfa-8205	378	22	�	�	PROPN
cjfa-8205	378	23	�	�	PROPN
cjfa-8205	378	24	=	=	SYM
cjfa-8205	378	25	�	�	PROPN
cjfa-8205	378	26	�	�	PROPN
cjfa-8205	378	27	�	�	PROPN
cjfa-8205	378	28	�	�	PROPN
cjfa-8205	378	29	�	�	PROPN
cjfa-8205	378	30	�	�	PROPN
cjfa-8205	378	31	�	�	PROPN
cjfa-8205	378	32	,	,	PUNCT
cjfa-8205	378	33	�	�	PROPN
cjfa-8205	378	34	=	=	SYM
cjfa-8205	378	35	�	�	PROPN
cjfa-8205	378	36	,	,	PUNCT
cjfa-8205	378	37	�	�	PROPN
cjfa-8205	378	38	.	.	PUNCT
cjfa-8205	379	1			PUNCT
cjfa-8205	379	2	4th	4th	ADJ
cjfa-8205	379	3	layer	layer	NOUN
cjfa-8205	379	4	.	.	PUNCT
cjfa-8205	380	1	this	this	DET
cjfa-8205	380	2	layer	layer	NOUN
cjfa-8205	380	3	is	be	AUX
cjfa-8205	380	4	not	not	PART
cjfa-8205	380	5	fixed	fix	VERB
cjfa-8205	380	6	as	as	ADP
cjfa-8205	380	7	other	other	ADJ
cjfa-8205	380	8	and	and	CCONJ
cjfa-8205	380	9	parameters	parameter	NOUN
cjfa-8205	380	10	(	(	PUNCT
cjfa-8205	380	11	pi	pi	NOUN
cjfa-8205	380	12	,	,	PUNCT
cjfa-8205	380	13	qi	qi	PROPN
cjfa-8205	380	14	,	,	PUNCT
cjfa-8205	380	15	ri	ri	PROPN
cjfa-8205	380	16	)	)	PUNCT
cjfa-8205	380	17	are	be	AUX
cjfa-8205	380	18	estimated	estimate	VERB
cjfa-8205	380	19	during	during	ADP
cjfa-8205	380	20	training	training	NOUN
cjfa-8205	380	21	process	process	NOUN
cjfa-8205	380	22	.	.	PUNCT
cjfa-8205	381	1	output	output	NOUN
cjfa-8205	381	2	of	of	ADP
cjfa-8205	381	3	nodes	node	NOUN
cjfa-8205	381	4	are	be	AUX
cjfa-8205	381	5	calculated	calculate	VERB
cjfa-8205	381	6	as	as	ADP
cjfa-8205	381	7	:	:	PUNCT
cjfa-8205	381	8	�	�	PROPN
cjfa-8205	381	9	�	�	PROPN
cjfa-8205	381	10	,	,	PUNCT
cjfa-8205	381	11	�	�	PROPN
cjfa-8205	381	12	=	=	SYM
cjfa-8205	381	13	�	�	PROPN
cjfa-8205	381	14	�	�	PROPN
cjfa-8205	381	15	�	�	PROPN
cjfa-8205	381	16	�	�	PROPN
cjfa-8205	381	17	�	�	PROPN
cjfa-8205	381	18	=	=	SYM
cjfa-8205	381	19	�	�	PROPN
cjfa-8205	381	20	�	�	PROPN
cjfa-8205	381	21	�	�	PROPN
cjfa-8205	381	22	�	�	PROPN
cjfa-8205	381	23	�	�	PROPN
cjfa-8205	381	24	�	�	PROPN
cjfa-8205	381	25	�	�	PROPN
cjfa-8205	381	26	�	�	PROPN
cjfa-8205	381	27	�	�	PROPN
cjfa-8205	381	28	�	�	PROPN
cjfa-8205	381	29	�	�	PROPN
cjfa-8205	381	30	�	�	PROPN
cjfa-8205	381	31	�	�	PROPN
cjfa-8205	381	32	�	�	PROPN
cjfa-8205	381	33	�	�	PROPN
cjfa-8205	381	34	.	.	PUNCT
cjfa-8205	382	1			X
cjfa-8205	382	2	5th	5th	ADJ
cjfa-8205	382	3	layer	layer	NOUN
cjfa-8205	382	4	.	.	PUNCT
cjfa-8205	383	1	this	this	PRON
cjfa-8205	383	2	is	be	AUX
cjfa-8205	383	3	an	an	DET
cjfa-8205	383	4	output	output	NOUN
cjfa-8205	383	5	layer	layer	NOUN
cjfa-8205	383	6	,	,	PUNCT
cjfa-8205	383	7	where	where	SCONJ
cjfa-8205	383	8	output	output	NOUN
cjfa-8205	383	9	value	value	NOUN
cjfa-8205	383	10	is	be	AUX
cjfa-8205	383	11	calculated	calculate	VERB
cjfa-8205	383	12	as	as	ADP
cjfa-8205	383	13	a	a	DET
cjfa-8205	383	14	sum	sum	NOUN
cjfa-8205	383	15	of	of	ADP
cjfa-8205	383	16	all	all	DET
cjfa-8205	383	17	inputs	input	NOUN
cjfa-8205	383	18	:	:	PUNCT
cjfa-8205	383	19	�	�	PROPN
cjfa-8205	383	20	�	�	PROPN
cjfa-8205	383	21	,	,	PUNCT
cjfa-8205	383	22	�	�	PROPN
cjfa-8205	383	23	=	=	SYM
cjfa-8205	383	24	�	�	PROPN
cjfa-8205	383	25	�	�	PROPN
cjfa-8205	383	26	�	�	PROPN
cjfa-8205	383	27	�	�	PROPN
cjfa-8205	383	28	�	�	PROPN
cjfa-8205	383	29	�	�	PROPN
cjfa-8205	383	30	�	�	PROPN
cjfa-8205	383	31	=	=	SYM
cjfa-8205	383	32	∑	∑	PUNCT
cjfa-8205	383	33	�	�	PROPN
cjfa-8205	383	34	�	�	PROPN
cjfa-8205	383	35	�	�	PROPN
cjfa-8205	383	36	�	�	PROPN
cjfa-8205	383	37	�	�	PROPN
cjfa-8205	383	38	�	�	PROPN
cjfa-8205	383	39	∑	∑	PUNCT
cjfa-8205	383	40	�	�	PROPN
cjfa-8205	383	41	�	�	PROPN
cjfa-8205	383	42	�	�	PROPN
cjfa-8205	383	43	.	.	PUNCT
cjfa-8205	384	1	in	in	ADP
cjfa-8205	384	2	this	this	DET
cjfa-8205	384	3	research	research	NOUN
cjfa-8205	384	4	,	,	PUNCT
cjfa-8205	384	5	two	two	NUM
cjfa-8205	384	6	types	type	NOUN
cjfa-8205	384	7	of	of	ADP
cjfa-8205	384	8	anfis	anfis	ADJ
cjfa-8205	384	9	model	model	NOUN
cjfa-8205	384	10	training	training	NOUN
cjfa-8205	384	11	algorithms	algorithm	NOUN
cjfa-8205	384	12	are	be	AUX
cjfa-8205	384	13	used	use	VERB
cjfa-8205	384	14	:	:	PUNCT
cjfa-8205	384	15	classical	classical	ADJ
cjfa-8205	384	16	gradient	gradient	NOUN
cjfa-8205	384	17	steepest	steep	ADJ
cjfa-8205	384	18	descend	descend	NOUN
cjfa-8205	384	19	backpropagation	backpropagation	NOUN
cjfa-8205	384	20	and	and	CCONJ
cjfa-8205	384	21	hybrid	hybrid	ADJ
cjfa-8205	384	22	training	training	NOUN
cjfa-8205	384	23	algorithm	algorithm	NOUN
cjfa-8205	384	24	.	.	PUNCT
cjfa-8205	385	1	hybrid	hybrid	ADJ
cjfa-8205	385	2	training	training	NOUN
cjfa-8205	385	3	combines	combine	VERB
cjfa-8205	385	4	gradient	gradient	ADJ
cjfa-8205	385	5	descend	descend	NOUN
cjfa-8205	385	6	backpropagation	backpropagation	NOUN
cjfa-8205	385	7	and	and	CCONJ
cjfa-8205	385	8	least	least	ADJ
cjfa-8205	385	9	squares	square	NOUN
cjfa-8205	385	10	methods	method	NOUN
cjfa-8205	385	11	.	.	PUNCT
cjfa-8205	386	1	backpropagation	backpropagation	NOUN
cjfa-8205	386	2	is	be	AUX
cjfa-8205	386	3	used	use	VERB
cjfa-8205	386	4	to	to	PART
cjfa-8205	386	5	tune	tune	NOUN
cjfa-8205	386	6	input	input	NOUN
cjfa-8205	386	7	layer	layer	NOUN
cjfa-8205	386	8	membership	membership	NOUN
cjfa-8205	386	9	function	function	NOUN
cjfa-8205	386	10	parameters	parameter	NOUN
cjfa-8205	386	11	,	,	PUNCT
cjfa-8205	386	12	while	while	SCONJ
cjfa-8205	386	13	least	least	ADJ
cjfa-8205	386	14	squares	square	NOUN
cjfa-8205	386	15	method	method	NOUN
cjfa-8205	386	16	is	be	AUX
cjfa-8205	386	17	used	use	VERB
cjfa-8205	386	18	for	for	ADP
cjfa-8205	386	19	output	output	NOUN
cjfa-8205	386	20	function	function	NOUN
cjfa-8205	386	21	parameter	parameter	NOUN
cjfa-8205	386	22	tuning	tuning	NOUN
cjfa-8205	386	23	.	.	PUNCT
cjfa-8205	387	1	for	for	ADP
cjfa-8205	387	2	input	input	NOUN
cjfa-8205	387	3	layer	layer	NOUN
cjfa-8205	387	4	membership	membership	NOUN
cjfa-8205	387	5	function	function	PROPN
cjfa-8205	387	6	parameter	parameter	PROPN
cjfa-8205	387	7	initialization	initialization	PROPN
cjfa-8205	387	8	fuzzy	fuzzy	ADJ
cjfa-8205	387	9	c	c	NOUN
cjfa-8205	387	10	-	-	PUNCT
cjfa-8205	387	11	means	means	NOUN
cjfa-8205	387	12	(	(	PUNCT
cjfa-8205	387	13	fcm	fcm	PROPN
cjfa-8205	387	14	)	)	PUNCT
cjfa-8205	387	15	clustering	cluster	VERB
cjfa-8205	387	16	algorithms	algorithms	NOUN
cjfa-8205	387	17	is	be	AUX
cjfa-8205	387	18	used	use	VERB
cjfa-8205	387	19	,	,	PUNCT
cjfa-8205	387	20	that	that	PRON
cjfa-8205	387	21	partitions	partition	VERB
cjfa-8205	387	22	data	datum	NOUN
cjfa-8205	387	23	of	of	ADP
cjfa-8205	387	24	the	the	DET
cjfa-8205	387	25	input	input	NOUN
cjfa-8205	387	26	space	space	NOUN
cjfa-8205	387	27	into	into	ADP
cjfa-8205	387	28	some	some	DET
cjfa-8205	387	29	number	number	NOUN
cjfa-8205	387	30	(	(	PUNCT
cjfa-8205	387	31	c	c	NOUN
cjfa-8205	387	32	)	)	PUNCT
cjfa-8205	387	33	of	of	ADP
cjfa-8205	387	34	clusters	cluster	NOUN
cjfa-8205	387	35	and	and	CCONJ
cjfa-8205	387	36	use	use	VERB
cjfa-8205	387	37	them	they	PRON
cjfa-8205	387	38	as	as	ADP
cjfa-8205	387	39	input	input	NOUN
cjfa-8205	387	40	membership	membership	NOUN
cjfa-8205	387	41	function	function	NOUN
cjfa-8205	387	42	initialization	initialization	NOUN
cjfa-8205	387	43	.	.	PUNCT
cjfa-8205	388	1	in	in	ADP
cjfa-8205	388	2	this	this	DET
cjfa-8205	388	3	research	research	NOUN
cjfa-8205	388	4	anfis	anfis	PROPN
cjfa-8205	388	5	model	model	NOUN
cjfa-8205	388	6	that	that	PRON
cjfa-8205	388	7	is	be	AUX
cjfa-8205	388	8	implemented	implement	VERB
cjfa-8205	388	9	in	in	ADP
cjfa-8205	388	10	matlab	matlab	PROPN
cjfa-8205	388	11	fuzzy	fuzzy	ADJ
cjfa-8205	388	12	logic	logic	NOUN
cjfa-8205	388	13	toolbox	toolbox	NOUN
cjfa-8205	388	14	is	be	AUX
cjfa-8205	388	15	used	use	VERB
cjfa-8205	388	16	.	.	PUNCT
cjfa-8205	389	1	■	■	PUNCT
cjfa-8205	389	2	5th	5th	ADJ
cjfa-8205	389	3	layer	layer	NOUN
cjfa-8205	389	4	.	.	PUNCT
cjfa-8205	390	1	this	this	PRON
cjfa-8205	390	2	is	be	AUX
cjfa-8205	390	3	an	an	DET
cjfa-8205	390	4	output	output	NOUN
cjfa-8205	390	5	layer	layer	NOUN
cjfa-8205	390	6	,	,	PUNCT
cjfa-8205	390	7	where	where	SCONJ
cjfa-8205	390	8	output	output	NOUN
cjfa-8205	390	9	value	value	NOUN
cjfa-8205	390	10	is	be	AUX
cjfa-8205	390	11	calculated	calculate	VERB
cjfa-8205	390	12	as	as	ADP
cjfa-8205	390	13	a	a	DET
cjfa-8205	390	14	sum	sum	NOUN
cjfa-8205	390	15	of	of	ADP
cjfa-8205	390	16	all	all	DET
cjfa-8205	390	17	inputs	input	NOUN
cjfa-8205	390	18	:	:	PUNCT
cjfa-8205	390	19	for	for	ADP
cjfa-8205	390	20	a	a	DET
cjfa-8205	390	21	1st	1st	ADJ
cjfa-8205	390	22	order	order	NOUN
cjfa-8205	390	23	of	of	ADP
cjfa-8205	390	24	sugeno	sugeno	ADJ
cjfa-8205	390	25	fuzzy	fuzzy	ADJ
cjfa-8205	390	26	model	model	NOUN
cjfa-8205	390	27	,	,	PUNCT
cjfa-8205	390	28	a	a	DET
cjfa-8205	390	29	typical	typical	ADJ
cjfa-8205	390	30	if	if	SCONJ
cjfa-8205	390	31	-	-	PUNCT
cjfa-8205	390	32	then	then	ADV
cjfa-8205	390	33	rule	rule	NOUN
cjfa-8205	390	34	set	set	NOUN
cjfa-8205	390	35	can	can	AUX
cjfa-8205	390	36	be	be	AUX
cjfa-8205	390	37	expressed	express	VERB
cjfa-8205	390	38	as	as	ADP
cjfa-8205	390	39	:	:	PUNCT
cjfa-8205	390	40	1	1	NUM
cjfa-8205	390	41	)	)	PUNCT
cjfa-8205	390	42	if	if	SCONJ
cjfa-8205	390	43	x	x	PRON
cjfa-8205	390	44	is	be	AUX
cjfa-8205	390	45	a1	a1	NOUN
cjfa-8205	390	46	and	and	CCONJ
cjfa-8205	390	47	y	y	PROPN
cjfa-8205	390	48	is	be	AUX
cjfa-8205	390	49	b1	b1	NOUN
cjfa-8205	390	50	then	then	ADV
cjfa-8205	390	51	f1	f1	NOUN
cjfa-8205	390	52	=	=	PUNCT
cjfa-8205	390	53	p1x	p1x	NOUN
cjfa-8205	390	54	+	+	CCONJ
cjfa-8205	390	55	q1y	q1y	PROPN
cjfa-8205	390	56	+	+	CCONJ
cjfa-8205	390	57	r1	r1	NOUN
cjfa-8205	390	58	;	;	PUNCT
cjfa-8205	390	59	2	2	X
cjfa-8205	390	60	)	)	PUNCT
cjfa-8205	390	61	if	if	SCONJ
cjfa-8205	390	62	x	x	PRON
cjfa-8205	390	63	is	be	AUX
cjfa-8205	390	64	a2	a2	PROPN
cjfa-8205	390	65	and	and	CCONJ
cjfa-8205	390	66	y	y	PROPN
cjfa-8205	390	67	is	be	AUX
cjfa-8205	390	68	b2	b2	NOUN
cjfa-8205	390	69	then	then	ADV
cjfa-8205	390	70	f2	f2	ADV
cjfa-8205	390	71	=	=	SYM
cjfa-8205	390	72	p2x	p2x	PROPN
cjfa-8205	390	73	+	+	CCONJ
cjfa-8205	390	74	q2y	q2y	PROPN
cjfa-8205	390	75	+	+	NUM
cjfa-8205	390	76	r2	r2	NOUN
cjfa-8205	390	77	.	.	PUNCT
cjfa-8205	391	1	further	far	ADV
cjfa-8205	391	2	each	each	PRON
cjfa-8205	391	3	of	of	ADP
cjfa-8205	391	4	five	five	NUM
cjfa-8205	391	5	layer	layer	NOUN
cjfa-8205	391	6	functionality	functionality	NOUN
cjfa-8205	391	7	is	be	AUX
cjfa-8205	391	8	shortly	shortly	ADV
cjfa-8205	391	9	explained	explain	VERB
cjfa-8205	391	10	:	:	PUNCT
cjfa-8205	391	11			NOUN
cjfa-8205	391	12	1st	1st	ADJ
cjfa-8205	391	13	layer	layer	NOUN
cjfa-8205	391	14	.	.	PUNCT
cjfa-8205	392	1	forms	form	NOUN
cjfa-8205	392	2	output	output	NOUN
cjfa-8205	392	3	,	,	PUNCT
cjfa-8205	392	4	which	which	PRON
cjfa-8205	392	5	determines	determine	VERB
cjfa-8205	392	6	membership	membership	NOUN
cjfa-8205	392	7	degree	degree	NOUN
cjfa-8205	392	8	in	in	ADP
cjfa-8205	392	9	each	each	PRON
cjfa-8205	392	10	of	of	ADP
cjfa-8205	392	11	membership	membership	NOUN
cjfa-8205	392	12	functions	function	NOUN
cjfa-8205	392	13	(	(	PUNCT
cjfa-8205	392	14	µa1	µa1	NOUN
cjfa-8205	392	15	,	,	PUNCT
cjfa-8205	392	16	µa2	µa2	ADV
cjfa-8205	392	17	,	,	PUNCT
cjfa-8205	392	18	µb1	µb1	VERB
cjfa-8205	392	19	,	,	PUNCT
cjfa-8205	392	20	µb2	µb2	NOUN
cjfa-8205	392	21	):	):	PUNCT
cjfa-8205	392	22	�	�	PROPN
cjfa-8205	392	23	�	�	PROPN
cjfa-8205	392	24	,	,	PUNCT
cjfa-8205	392	25	�	�	PROPN
cjfa-8205	392	26	=	=	SYM
cjfa-8205	392	27	�	�	PROPN
cjfa-8205	392	28	�	�	PROPN
cjfa-8205	392	29	�	�	PROPN
cjfa-8205	392	30	�	�	PROPN
cjfa-8205	392	31	�	�	PROPN
cjfa-8205	392	32	�	�	PROPN
cjfa-8205	392	33	,	,	PUNCT
cjfa-8205	392	34	�	�	PROPN
cjfa-8205	392	35	=	=	SYM
cjfa-8205	392	36	�	�	PROPN
cjfa-8205	392	37	,	,	PUNCT
cjfa-8205	392	38	�	�	PROPN
cjfa-8205	392	39	,	,	PUNCT
cjfa-8205	392	40	�	�	PROPN
cjfa-8205	392	41	�	�	PROPN
cjfa-8205	392	42	,	,	PUNCT
cjfa-8205	392	43	�	�	PROPN
cjfa-8205	392	44	=	=	SYM
cjfa-8205	392	45	�	�	PROPN
cjfa-8205	392	46	�	�	PROPN
cjfa-8205	392	47	�	�	PROPN
cjfa-8205	392	48	�	�	PROPN
cjfa-8205	392	49	�	�	PROPN
cjfa-8205	392	50	�	�	PROPN
cjfa-8205	392	51	�	�	PROPN
cjfa-8205	392	52	�	�	PROPN
cjfa-8205	392	53	,	,	PUNCT
cjfa-8205	392	54	�	�	PROPN
cjfa-8205	392	55	=	=	SYM
cjfa-8205	392	56	�	�	PROPN
cjfa-8205	392	57	,	,	PUNCT
cjfa-8205	392	58	�	�	PROPN
cjfa-8205	392	59	.	.	PUNCT
cjfa-8205	392	60			PROPN
cjfa-8205	393	1	2nd	2nd	ADJ
cjfa-8205	393	2	layer	layer	NOUN
cjfa-8205	393	3	.	.	PUNCT
cjfa-8205	394	1	in	in	ADP
cjfa-8205	394	2	this	this	DET
cjfa-8205	394	3	layer	layer	NOUN
cjfa-8205	394	4	each	each	DET
cjfa-8205	394	5	node	node	NOUN
cjfa-8205	394	6	is	be	AUX
cjfa-8205	394	7	fixed	fix	VERB
cjfa-8205	394	8	and	and	CCONJ
cjfa-8205	394	9	represents	represent	VERB
cjfa-8205	394	10	weight	weight	NOUN
cjfa-8205	394	11	of	of	ADP
cjfa-8205	394	12	particular	particular	ADJ
cjfa-8205	394	13	rule	rule	NOUN
cjfa-8205	394	14	.	.	PUNCT
cjfa-8205	395	1	in	in	ADP
cjfa-8205	395	2	this	this	DET
cjfa-8205	395	3	node	node	NOUN
cjfa-8205	395	4	and	and	CCONJ
cjfa-8205	395	5	operation	operation	NOUN
cjfa-8205	395	6	is	be	AUX
cjfa-8205	395	7	performed	perform	VERB
cjfa-8205	395	8	,	,	PUNCT
cjfa-8205	395	9	which	which	PRON
cjfa-8205	395	10	is	be	AUX
cjfa-8205	395	11	product	product	NOUN
cjfa-8205	395	12	of	of	ADP
cjfa-8205	395	13	inputs	input	NOUN
cjfa-8205	395	14	:	:	PUNCT
cjfa-8205	395	15	�	�	PROPN
cjfa-8205	395	16	�	�	PROPN
cjfa-8205	395	17	,	,	PUNCT
cjfa-8205	395	18	�	�	PROPN
cjfa-8205	395	19	=	=	SYM
cjfa-8205	395	20	�	�	PROPN
cjfa-8205	395	21	�	�	PROPN
cjfa-8205	395	22	=	=	SYM
cjfa-8205	395	23	�	�	PROPN
cjfa-8205	395	24	�	�	PROPN
cjfa-8205	395	25	�	�	PROPN
cjfa-8205	395	26	�	�	PROPN
cjfa-8205	395	27	�	�	PROPN
cjfa-8205	395	28	�	�	PROPN
cjfa-8205	395	29	�	�	PROPN
cjfa-8205	395	30	�	�	PROPN
cjfa-8205	395	31	�	�	PROPN
cjfa-8205	395	32	�	�	PROPN
cjfa-8205	395	33	�	�	PROPN
cjfa-8205	395	34	�	�	PROPN
cjfa-8205	395	35	�	�	PROPN
cjfa-8205	395	36	,	,	PUNCT
cjfa-8205	395	37	�	�	PROPN
cjfa-8205	395	38	=	=	SYM
cjfa-8205	395	39	�	�	PROPN
cjfa-8205	395	40	,	,	PUNCT
cjfa-8205	395	41	�	�	PROPN
cjfa-8205	395	42	.	.	PUNCT
cjfa-8205	396	1			X
cjfa-8205	397	1	3rd	3rd	ADJ
cjfa-8205	397	2	layer	layer	NOUN
cjfa-8205	397	3	.	.	PUNCT
cjfa-8205	398	1	each	each	DET
cjfa-8205	398	2	node	node	NOUN
cjfa-8205	398	3	of	of	ADP
cjfa-8205	398	4	this	this	DET
cjfa-8205	398	5	layer	layer	NOUN
cjfa-8205	398	6	is	be	AUX
cjfa-8205	398	7	also	also	ADV
cjfa-8205	398	8	fixed	fix	VERB
cjfa-8205	398	9	and	and	CCONJ
cjfa-8205	398	10	calculates	calculate	NOUN
cjfa-8205	398	11	normalized	normalize	VERB
cjfa-8205	398	12	rule	rule	NOUN
cjfa-8205	398	13	excitation	excitation	NOUN
cjfa-8205	398	14	degree	degree	NOUN
cjfa-8205	398	15	:	:	PUNCT
cjfa-8205	398	16	�	�	PROPN
cjfa-8205	398	17	�	�	PROPN
cjfa-8205	398	18	,	,	PUNCT
cjfa-8205	398	19	�	�	PROPN
cjfa-8205	398	20	=	=	SYM
cjfa-8205	398	21	�	�	PROPN
cjfa-8205	398	22	�	�	PROPN
cjfa-8205	398	23	�	�	PROPN
cjfa-8205	398	24	=	=	SYM
cjfa-8205	398	25	�	�	PROPN
cjfa-8205	398	26	�	�	PROPN
cjfa-8205	398	27	�	�	PROPN
cjfa-8205	398	28	�	�	PROPN
cjfa-8205	398	29	�	�	PROPN
cjfa-8205	398	30	�	�	PROPN
cjfa-8205	398	31	�	�	PROPN
cjfa-8205	398	32	,	,	PUNCT
cjfa-8205	398	33	�	�	PROPN
cjfa-8205	398	34	=	=	SYM
cjfa-8205	398	35	�	�	PROPN
cjfa-8205	398	36	,	,	PUNCT
cjfa-8205	398	37	�	�	PROPN
cjfa-8205	398	38	.	.	PUNCT
cjfa-8205	399	1			PUNCT
cjfa-8205	399	2	4th	4th	ADJ
cjfa-8205	399	3	layer	layer	NOUN
cjfa-8205	399	4	.	.	PUNCT
cjfa-8205	400	1	this	this	DET
cjfa-8205	400	2	layer	layer	NOUN
cjfa-8205	400	3	is	be	AUX
cjfa-8205	400	4	not	not	PART
cjfa-8205	400	5	fixed	fix	VERB
cjfa-8205	400	6	as	as	ADP
cjfa-8205	400	7	other	other	ADJ
cjfa-8205	400	8	and	and	CCONJ
cjfa-8205	400	9	parameters	parameter	NOUN
cjfa-8205	400	10	(	(	PUNCT
cjfa-8205	400	11	pi	pi	NOUN
cjfa-8205	400	12	,	,	PUNCT
cjfa-8205	400	13	qi	qi	PROPN
cjfa-8205	400	14	,	,	PUNCT
cjfa-8205	400	15	ri	ri	PROPN
cjfa-8205	400	16	)	)	PUNCT
cjfa-8205	400	17	are	be	AUX
cjfa-8205	400	18	estimated	estimate	VERB
cjfa-8205	400	19	during	during	ADP
cjfa-8205	400	20	training	training	NOUN
cjfa-8205	400	21	process	process	NOUN
cjfa-8205	400	22	.	.	PUNCT
cjfa-8205	401	1	output	output	NOUN
cjfa-8205	401	2	of	of	ADP
cjfa-8205	401	3	nodes	node	NOUN
cjfa-8205	401	4	are	be	AUX
cjfa-8205	401	5	calculated	calculate	VERB
cjfa-8205	401	6	as	as	ADP
cjfa-8205	401	7	:	:	PUNCT
cjfa-8205	401	8	�	�	PROPN
cjfa-8205	401	9	�	�	PROPN
cjfa-8205	401	10	,	,	PUNCT
cjfa-8205	401	11	�	�	PROPN
cjfa-8205	401	12	=	=	SYM
cjfa-8205	401	13	�	�	PROPN
cjfa-8205	401	14	�	�	PROPN
cjfa-8205	401	15	�	�	PROPN
cjfa-8205	401	16	�	�	PROPN
cjfa-8205	401	17	�	�	PROPN
cjfa-8205	401	18	=	=	SYM
cjfa-8205	401	19	�	�	PROPN
cjfa-8205	401	20	�	�	PROPN
cjfa-8205	401	21	�	�	PROPN
cjfa-8205	401	22	�	�	PROPN
cjfa-8205	401	23	�	�	PROPN
cjfa-8205	401	24	�	�	PROPN
cjfa-8205	401	25	�	�	PROPN
cjfa-8205	401	26	�	�	PROPN
cjfa-8205	401	27	�	�	PROPN
cjfa-8205	401	28	�	�	PROPN
cjfa-8205	401	29	�	�	PROPN
cjfa-8205	401	30	�	�	PROPN
cjfa-8205	401	31	�	�	PROPN
cjfa-8205	401	32	�	�	PROPN
cjfa-8205	401	33	�	�	PROPN
cjfa-8205	401	34	.	.	PUNCT
cjfa-8205	402	1			X
cjfa-8205	402	2	5th	5th	ADJ
cjfa-8205	402	3	layer	layer	NOUN
cjfa-8205	402	4	.	.	PUNCT
cjfa-8205	403	1	this	this	PRON
cjfa-8205	403	2	is	be	AUX
cjfa-8205	403	3	an	an	DET
cjfa-8205	403	4	output	output	NOUN
cjfa-8205	403	5	layer	layer	NOUN
cjfa-8205	403	6	,	,	PUNCT
cjfa-8205	403	7	where	where	SCONJ
cjfa-8205	403	8	output	output	NOUN
cjfa-8205	403	9	value	value	NOUN
cjfa-8205	403	10	is	be	AUX
cjfa-8205	403	11	calculated	calculate	VERB
cjfa-8205	403	12	as	as	ADP
cjfa-8205	403	13	a	a	DET
cjfa-8205	403	14	sum	sum	NOUN
cjfa-8205	403	15	of	of	ADP
cjfa-8205	403	16	all	all	DET
cjfa-8205	403	17	inputs	input	NOUN
cjfa-8205	403	18	:	:	PUNCT
cjfa-8205	403	19	�	�	PROPN
cjfa-8205	403	20	�	�	PROPN
cjfa-8205	403	21	,	,	PUNCT
cjfa-8205	403	22	�	�	PROPN
cjfa-8205	403	23	=	=	SYM
cjfa-8205	403	24	�	�	PROPN
cjfa-8205	403	25	�	�	PROPN
cjfa-8205	403	26	�	�	PROPN
cjfa-8205	403	27	�	�	PROPN
cjfa-8205	403	28	�	�	PROPN
cjfa-8205	403	29	�	�	PROPN
cjfa-8205	403	30	�	�	PROPN
cjfa-8205	403	31	=	=	SYM
cjfa-8205	403	32	∑	∑	PUNCT
cjfa-8205	403	33	�	�	PROPN
cjfa-8205	403	34	�	�	PROPN
cjfa-8205	403	35	�	�	PROPN
cjfa-8205	403	36	�	�	PROPN
cjfa-8205	403	37	�	�	PROPN
cjfa-8205	403	38	�	�	PROPN
cjfa-8205	403	39	∑	∑	PUNCT
cjfa-8205	403	40	�	�	PROPN
cjfa-8205	403	41	�	�	PROPN
cjfa-8205	403	42	�	�	PROPN
cjfa-8205	403	43	.	.	PUNCT
cjfa-8205	404	1	in	in	ADP
cjfa-8205	404	2	this	this	DET
cjfa-8205	404	3	research	research	NOUN
cjfa-8205	404	4	,	,	PUNCT
cjfa-8205	404	5	two	two	NUM
cjfa-8205	404	6	types	type	NOUN
cjfa-8205	404	7	of	of	ADP
cjfa-8205	404	8	anfis	anfis	ADJ
cjfa-8205	404	9	model	model	NOUN
cjfa-8205	404	10	training	training	NOUN
cjfa-8205	404	11	algorithms	algorithm	NOUN
cjfa-8205	404	12	are	be	AUX
cjfa-8205	404	13	used	use	VERB
cjfa-8205	404	14	:	:	PUNCT
cjfa-8205	404	15	classical	classical	ADJ
cjfa-8205	404	16	gradient	gradient	NOUN
cjfa-8205	404	17	steepest	steep	ADJ
cjfa-8205	404	18	descend	descend	NOUN
cjfa-8205	404	19	backpropagation	backpropagation	NOUN
cjfa-8205	404	20	and	and	CCONJ
cjfa-8205	404	21	hybrid	hybrid	ADJ
cjfa-8205	404	22	training	training	NOUN
cjfa-8205	404	23	algorithm	algorithm	NOUN
cjfa-8205	404	24	.	.	PUNCT
cjfa-8205	405	1	hybrid	hybrid	ADJ
cjfa-8205	405	2	training	training	NOUN
cjfa-8205	405	3	combines	combine	VERB
cjfa-8205	405	4	gradient	gradient	ADJ
cjfa-8205	405	5	descend	descend	NOUN
cjfa-8205	405	6	backpropagation	backpropagation	NOUN
cjfa-8205	405	7	and	and	CCONJ
cjfa-8205	405	8	least	least	ADJ
cjfa-8205	405	9	squares	square	NOUN
cjfa-8205	405	10	methods	method	NOUN
cjfa-8205	405	11	.	.	PUNCT
cjfa-8205	406	1	backpropagation	backpropagation	NOUN
cjfa-8205	406	2	is	be	AUX
cjfa-8205	406	3	used	use	VERB
cjfa-8205	406	4	to	to	PART
cjfa-8205	406	5	tune	tune	NOUN
cjfa-8205	406	6	input	input	NOUN
cjfa-8205	406	7	layer	layer	NOUN
cjfa-8205	406	8	membership	membership	NOUN
cjfa-8205	406	9	function	function	NOUN
cjfa-8205	406	10	parameters	parameter	NOUN
cjfa-8205	406	11	,	,	PUNCT
cjfa-8205	406	12	while	while	SCONJ
cjfa-8205	406	13	least	least	ADJ
cjfa-8205	406	14	squares	square	NOUN
cjfa-8205	406	15	method	method	NOUN
cjfa-8205	406	16	is	be	AUX
cjfa-8205	406	17	used	use	VERB
cjfa-8205	406	18	for	for	ADP
cjfa-8205	406	19	output	output	NOUN
cjfa-8205	406	20	function	function	NOUN
cjfa-8205	406	21	parameter	parameter	NOUN
cjfa-8205	406	22	tuning	tuning	NOUN
cjfa-8205	406	23	.	.	PUNCT
cjfa-8205	407	1	for	for	ADP
cjfa-8205	407	2	input	input	NOUN
cjfa-8205	407	3	layer	layer	NOUN
cjfa-8205	407	4	membership	membership	NOUN
cjfa-8205	407	5	function	function	PROPN
cjfa-8205	407	6	parameter	parameter	PROPN
cjfa-8205	407	7	initialization	initialization	PROPN
cjfa-8205	407	8	fuzzy	fuzzy	ADJ
cjfa-8205	407	9	c	c	NOUN
cjfa-8205	407	10	-	-	PUNCT
cjfa-8205	407	11	means	means	NOUN
cjfa-8205	407	12	(	(	PUNCT
cjfa-8205	407	13	fcm	fcm	PROPN
cjfa-8205	407	14	)	)	PUNCT
cjfa-8205	407	15	clustering	cluster	VERB
cjfa-8205	407	16	algorithms	algorithms	NOUN
cjfa-8205	407	17	is	be	AUX
cjfa-8205	407	18	used	use	VERB
cjfa-8205	407	19	,	,	PUNCT
cjfa-8205	407	20	that	that	PRON
cjfa-8205	407	21	partitions	partition	VERB
cjfa-8205	407	22	data	datum	NOUN
cjfa-8205	407	23	of	of	ADP
cjfa-8205	407	24	the	the	DET
cjfa-8205	407	25	input	input	NOUN
cjfa-8205	407	26	space	space	NOUN
cjfa-8205	407	27	into	into	ADP
cjfa-8205	407	28	some	some	DET
cjfa-8205	407	29	number	number	NOUN
cjfa-8205	407	30	(	(	PUNCT
cjfa-8205	407	31	c	c	NOUN
cjfa-8205	407	32	)	)	PUNCT
cjfa-8205	407	33	of	of	ADP
cjfa-8205	407	34	clusters	cluster	NOUN
cjfa-8205	407	35	and	and	CCONJ
cjfa-8205	407	36	use	use	VERB
cjfa-8205	407	37	them	they	PRON
cjfa-8205	407	38	as	as	ADP
cjfa-8205	407	39	input	input	NOUN
cjfa-8205	407	40	membership	membership	NOUN
cjfa-8205	407	41	function	function	NOUN
cjfa-8205	407	42	initialization	initialization	NOUN
cjfa-8205	407	43	.	.	PUNCT
cjfa-8205	408	1	in	in	ADP
cjfa-8205	408	2	this	this	DET
cjfa-8205	408	3	research	research	NOUN
cjfa-8205	408	4	anfis	anfis	PROPN
cjfa-8205	408	5	model	model	NOUN
cjfa-8205	408	6	that	that	PRON
cjfa-8205	408	7	is	be	AUX
cjfa-8205	408	8	implemented	implement	VERB
cjfa-8205	408	9	in	in	ADP
cjfa-8205	408	10	matlab	matlab	PROPN
cjfa-8205	408	11	fuzzy	fuzzy	ADJ
cjfa-8205	408	12	logic	logic	NOUN
cjfa-8205	408	13	toolbox	toolbox	NOUN
cjfa-8205	408	14	is	be	AUX
cjfa-8205	408	15	used	use	VERB
cjfa-8205	408	16	.	.	PUNCT
cjfa-8205	409	1	in	in	ADP
cjfa-8205	409	2	this	this	DET
cjfa-8205	409	3	research	research	NOUN
cjfa-8205	409	4	,	,	PUNCT
cjfa-8205	409	5	two	two	NUM
cjfa-8205	409	6	types	type	NOUN
cjfa-8205	409	7	of	of	ADP
cjfa-8205	409	8	anfis	anfis	ADJ
cjfa-8205	409	9	model	model	NOUN
cjfa-8205	409	10	training	training	NOUN
cjfa-8205	409	11	algorithms	algorithm	NOUN
cjfa-8205	409	12	are	be	AUX
cjfa-8205	409	13	used	use	VERB
cjfa-8205	409	14	:	:	PUNCT
cjfa-8205	409	15	classical	classical	ADJ
cjfa-8205	409	16	gradient	gradient	NOUN
cjfa-8205	409	17	steepest	steep	ADJ
cjfa-8205	409	18	descend	descend	NOUN
cjfa-8205	409	19	backpropagation	backpropagation	NOUN
cjfa-8205	409	20	and	and	CCONJ
cjfa-8205	409	21	hybrid	hybrid	ADJ
cjfa-8205	409	22	training	training	NOUN
cjfa-8205	409	23	algorithm	algorithm	NOUN
cjfa-8205	409	24	.	.	PUNCT
cjfa-8205	410	1	hybrid	hybrid	ADJ
cjfa-8205	410	2	training	training	NOUN
cjfa-8205	410	3	combines	combine	VERB
cjfa-8205	410	4	gradient	gradient	ADJ
cjfa-8205	410	5	descend	descend	NOUN
cjfa-8205	410	6	backpropagation	backpropagation	NOUN
cjfa-8205	410	7	and	and	CCONJ
cjfa-8205	410	8	least	least	ADJ
cjfa-8205	410	9	squares	square	NOUN
cjfa-8205	410	10	methods	method	NOUN
cjfa-8205	410	11	.	.	PUNCT
cjfa-8205	411	1	backpropagation	backpropagation	NOUN
cjfa-8205	411	2	is	be	AUX
cjfa-8205	411	3	used	use	VERB
cjfa-8205	411	4	to	to	PART
cjfa-8205	411	5	tune	tune	NOUN
cjfa-8205	411	6	input	input	NOUN
cjfa-8205	411	7	layer	layer	NOUN
cjfa-8205	411	8	membership	membership	NOUN
cjfa-8205	411	9	function	function	NOUN
cjfa-8205	411	10	parameters	parameter	NOUN
cjfa-8205	411	11	,	,	PUNCT
cjfa-8205	411	12	while	while	SCONJ
cjfa-8205	411	13	least	least	ADJ
cjfa-8205	411	14	squares	square	NOUN
cjfa-8205	411	15	method	method	NOUN
cjfa-8205	411	16	is	be	AUX
cjfa-8205	411	17	used	use	VERB
cjfa-8205	411	18	for	for	ADP
cjfa-8205	411	19	output	output	NOUN
cjfa-8205	411	20	function	function	NOUN
cjfa-8205	411	21	parameter	parameter	NOUN
cjfa-8205	411	22	tuning	tuning	NOUN
cjfa-8205	411	23	.	.	PUNCT
cjfa-8205	412	1	for	for	ADP
cjfa-8205	412	2	input	input	NOUN
cjfa-8205	412	3	layer	layer	NOUN
cjfa-8205	412	4	membership	membership	NOUN
cjfa-8205	412	5	function	function	PROPN
cjfa-8205	412	6	parameter	parameter	PROPN
cjfa-8205	412	7	initialization	initialization	PROPN
cjfa-8205	412	8	fuzzy	fuzzy	ADJ
cjfa-8205	412	9	c-	c-	SYM
cjfa-8205	412	10	 	 	SPACE
cjfa-8205	412	11	means	means	PROPN
cjfa-8205	412	12	(	(	PUNCT
cjfa-8205	412	13	fcm	fcm	PROPN
cjfa-8205	412	14	)	)	PUNCT
cjfa-8205	412	15	clustering	cluster	VERB
cjfa-8205	412	16	algorithms	algorithms	NOUN
cjfa-8205	412	17	is	be	AUX
cjfa-8205	412	18	used	use	VERB
cjfa-8205	412	19	,	,	PUNCT
cjfa-8205	412	20	that	that	PRON
cjfa-8205	412	21	partitions	partition	VERB
cjfa-8205	412	22	data	datum	NOUN
cjfa-8205	412	23	of	of	ADP
cjfa-8205	412	24	the	the	DET
cjfa-8205	412	25	input	input	NOUN
cjfa-8205	412	26	space	space	NOUN
cjfa-8205	412	27	into	into	ADP
cjfa-8205	412	28	some	some	DET
cjfa-8205	412	29	number	number	NOUN
cjfa-8205	412	30	(	(	PUNCT
cjfa-8205	412	31	c	c	NOUN
cjfa-8205	412	32	)	)	PUNCT
cjfa-8205	412	33	of	of	ADP
cjfa-8205	412	34	clusters	cluster	NOUN
cjfa-8205	412	35	and	and	CCONJ
cjfa-8205	412	36	use	use	VERB
cjfa-8205	412	37	them	they	PRON
cjfa-8205	412	38	as	as	ADP
cjfa-8205	412	39	input	input	NOUN
cjfa-8205	412	40	membership	membership	NOUN
cjfa-8205	412	41	function	function	NOUN
cjfa-8205	412	42	initialization	initialization	NOUN
cjfa-8205	412	43	.	.	PUNCT
cjfa-8205	413	1	in	in	ADP
cjfa-8205	413	2	this	this	DET
cjfa-8205	413	3	research	research	NOUN
cjfa-8205	413	4	anfis	anfis	PROPN
cjfa-8205	413	5	model	model	NOUN
cjfa-8205	413	6	that	that	PRON
cjfa-8205	413	7	is	be	AUX
cjfa-8205	413	8	implemented	implement	VERB
cjfa-8205	413	9	in	in	ADP
cjfa-8205	413	10	matlab	matlab	PROPN
cjfa-8205	413	11	fuzzy	fuzzy	ADJ
cjfa-8205	413	12	logic	logic	NOUN
cjfa-8205	413	13	toolbox	toolbox	NOUN
cjfa-8205	413	14	is	be	AUX
cjfa-8205	413	15	used	use	VERB
cjfa-8205	413	16	.	.	PUNCT
cjfa-8205	414	1	■	■	PUNCT
cjfa-8205	414	2	extreme	extreme	ADJ
cjfa-8205	414	3	learning	learning	NOUN
cjfa-8205	414	4	machine	machine	NOUN
cjfa-8205	414	5	model	model	NOUN
cjfa-8205	414	6	.	.	PUNCT
cjfa-8205	415	1	extreme	extreme	ADJ
cjfa-8205	415	2	learning	learning	NOUN
cjfa-8205	415	3	machines	machine	NOUN
cjfa-8205	415	4	(	(	PUNCT
cjfa-8205	415	5	elm	elm	PROPN
cjfa-8205	415	6	)	)	PUNCT
cjfa-8205	415	7	(	(	PUNCT
cjfa-8205	415	8	huang	huang	PROPN
cjfa-8205	415	9	,	,	PUNCT
cjfa-8205	415	10	zhu	zhu	PROPN
cjfa-8205	415	11	&	&	CCONJ
cjfa-8205	415	12	siew	siew	PROPN
cjfa-8205	415	13	2006	2006	NUM
cjfa-8205	415	14	)	)	PUNCT
cjfa-8205	415	15	have	have	VERB
cjfa-8205	415	16	the	the	DET
cjfa-8205	415	17	same	same	ADJ
cjfa-8205	415	18	architecture	architecture	NOUN
cjfa-8205	415	19	as	as	ADP
cjfa-8205	415	20	single	single	ADJ
cjfa-8205	415	21	hidden	hide	VERB
cjfa-8205	415	22	layer	layer	NOUN
cjfa-8205	415	23	feed	feed	NOUN
cjfa-8205	415	24	-	-	PUNCT
cjfa-8205	415	25	forward	forward	ADV
cjfa-8205	415	26	neural	neural	ADJ
cjfa-8205	415	27	networks	network	NOUN
cjfa-8205	415	28	.	.	PUNCT
cjfa-8205	416	1	differently	differently	ADV
cjfa-8205	416	2	from	from	ADP
cjfa-8205	416	3	conventional	conventional	ADJ
cjfa-8205	416	4	neural	neural	ADJ
cjfa-8205	416	5	network	network	NOUN
cjfa-8205	416	6	achitectures	achitecture	NOUN
cjfa-8205	416	7	,	,	PUNCT
cjfa-8205	416	8	elm	elm	NOUN
cjfa-8205	416	9	does	do	AUX
cjfa-8205	416	10	n’t	not	PART
cjfa-8205	416	11	require	require	VERB
cjfa-8205	416	12	backpropagation	backpropagation	NOUN
cjfa-8205	416	13	for	for	ADP
cjfa-8205	416	14	parameter	parameter	NOUN
cjfa-8205	416	15	tuning	tuning	NOUN
cjfa-8205	416	16	.	.	PUNCT
cjfa-8205	417	1	instead	instead	ADV
cjfa-8205	417	2	,	,	PUNCT
cjfa-8205	417	3	hidden	hide	VERB
cjfa-8205	417	4	node	node	ADJ
cjfa-8205	417	5	weights	weight	NOUN
cjfa-8205	417	6	are	be	AUX
cjfa-8205	417	7	chosen	choose	VERB
cjfa-8205	417	8	randomly	randomly	ADV
cjfa-8205	417	9	and	and	CCONJ
cjfa-8205	417	10	output	output	NOUN
cjfa-8205	417	11	weights	weight	NOUN
cjfa-8205	417	12	are	be	AUX
cjfa-8205	417	13	determined	determine	VERB
cjfa-8205	417	14	analytically	analytically	ADV
cjfa-8205	417	15	.	.	PUNCT
cjfa-8205	418	1	main	main	ADJ
cjfa-8205	418	2	advantage	advantage	NOUN
cjfa-8205	418	3	of	of	ADP
cjfa-8205	418	4	this	this	DET
cjfa-8205	418	5	type	type	NOUN
cjfa-8205	418	6	of	of	ADP
cjfa-8205	418	7	learning	learning	NOUN
cjfa-8205	418	8	is	be	AUX
cjfa-8205	418	9	speed	speed	NOUN
cjfa-8205	418	10	,	,	PUNCT
cjfa-8205	418	11	which	which	PRON
cjfa-8205	418	12	is	be	AUX
cjfa-8205	418	13	many	many	ADJ
cjfa-8205	418	14	times	time	NOUN
cjfa-8205	418	15	faster	fast	ADV
cjfa-8205	418	16	than	than	ADP
cjfa-8205	418	17	conventional	conventional	ADJ
cjfa-8205	418	18	iterative	iterative	NOUN
cjfa-8205	418	19	tuning	tuning	NOUN
cjfa-8205	418	20	(	(	PUNCT
cjfa-8205	418	21	such	such	ADJ
cjfa-8205	418	22	as	as	ADP
cjfa-8205	418	23	backpropagation	backpropagation	NOUN
cjfa-8205	418	24	)	)	PUNCT
cjfa-8205	418	25	.	.	PUNCT
cjfa-8205	419	1	evaluation	evaluation	NOUN
cjfa-8205	419	2	of	of	ADP
cjfa-8205	419	3	atm	atm	ADJ
cjfa-8205	419	4	cash	cash	NOUN
cjfa-8205	419	5	demand	demand	NOUN
cjfa-8205	419	6	process	process	NOUN
cjfa-8205	419	7	factors	factor	NOUN
cjfa-8205	419	8	…	…	PUNCT
cjfa-8205	419	9	219	219	NUM
cjfa-8205	419	10	given	give	VERB
cjfa-8205	419	11	n	n	PRON
cjfa-8205	419	12	number	number	NOUN
cjfa-8205	419	13	of	of	ADP
cjfa-8205	419	14	observations	observation	NOUN
cjfa-8205	419	15	(	(	PUNCT
cjfa-8205	419	16	xi	xi	PROPN
cjfa-8205	419	17	,	,	PUNCT
cjfa-8205	419	18	yi	yi	PROPN
cjfa-8205	419	19	)	)	PUNCT
cjfa-8205	419	20	,	,	PUNCT
cjfa-8205	419	21	single	single	ADJ
cjfa-8205	419	22	layer	layer	NOUN
cjfa-8205	419	23	neural	neural	ADJ
cjfa-8205	419	24	network	network	NOUN
cjfa-8205	419	25	output	output	NOUN
cjfa-8205	419	26	with	with	ADP
cjfa-8205	419	27	m	m	ADP
cjfa-8205	419	28	hidden	hide	VERB
cjfa-8205	419	29	nodes	node	NOUN
cjfa-8205	419	30	is	be	AUX
cjfa-8205	419	31	modeled	model	VERB
cjfa-8205	419	32	as	as	ADP
cjfa-8205	419	33	:	:	PUNCT
cjfa-8205	419	34	–	–	PUNCT
cjfa-8205	419	35	extreme	extreme	ADJ
cjfa-8205	419	36	learning	learning	NOUN
cjfa-8205	419	37	machine	machine	NOUN
cjfa-8205	419	38	model	model	NOUN
cjfa-8205	419	39	.	.	PUNCT
cjfa-8205	420	1	extreme	extreme	ADJ
cjfa-8205	420	2	learning	learning	NOUN
cjfa-8205	420	3	machines	machine	NOUN
cjfa-8205	420	4	(	(	PUNCT
cjfa-8205	420	5	elm	elm	PROPN
cjfa-8205	420	6	)	)	PUNCT
cjfa-8205	420	7	(	(	PUNCT
cjfa-8205	420	8	huang	huang	PROPN
cjfa-8205	420	9	,	,	PUNCT
cjfa-8205	420	10	zhu	zhu	PROPN
cjfa-8205	420	11	&	&	CCONJ
cjfa-8205	420	12	siew	siew	PROPN
cjfa-8205	420	13	2006	2006	NUM
cjfa-8205	420	14	)	)	PUNCT
cjfa-8205	420	15	have	have	VERB
cjfa-8205	420	16	the	the	DET
cjfa-8205	420	17	same	same	ADJ
cjfa-8205	420	18	architecture	architecture	NOUN
cjfa-8205	420	19	as	as	ADP
cjfa-8205	420	20	single	single	ADJ
cjfa-8205	420	21	hidden	hide	VERB
cjfa-8205	420	22	layer	layer	NOUN
cjfa-8205	420	23	feed	feed	NOUN
cjfa-8205	420	24	-	-	PUNCT
cjfa-8205	420	25	forward	forward	ADV
cjfa-8205	420	26	neural	neural	ADJ
cjfa-8205	420	27	networks	network	NOUN
cjfa-8205	420	28	.	.	PUNCT
cjfa-8205	421	1	differently	differently	ADV
cjfa-8205	421	2	from	from	ADP
cjfa-8205	421	3	conventional	conventional	ADJ
cjfa-8205	421	4	neural	neural	ADJ
cjfa-8205	421	5	network	network	NOUN
cjfa-8205	421	6	achitectures	achitecture	NOUN
cjfa-8205	421	7	,	,	PUNCT
cjfa-8205	421	8	elm	elm	NOUN
cjfa-8205	421	9	does	do	AUX
cjfa-8205	421	10	n’t	not	PART
cjfa-8205	421	11	require	require	VERB
cjfa-8205	421	12	backpropagation	backpropagation	NOUN
cjfa-8205	421	13	for	for	ADP
cjfa-8205	421	14	parameter	parameter	NOUN
cjfa-8205	421	15	tuning	tuning	NOUN
cjfa-8205	421	16	.	.	PUNCT
cjfa-8205	422	1	instead	instead	ADV
cjfa-8205	422	2	,	,	PUNCT
cjfa-8205	422	3	hidden	hide	VERB
cjfa-8205	422	4	node	node	ADJ
cjfa-8205	422	5	weights	weight	NOUN
cjfa-8205	422	6	are	be	AUX
cjfa-8205	422	7	chosen	choose	VERB
cjfa-8205	422	8	randomly	randomly	ADV
cjfa-8205	422	9	and	and	CCONJ
cjfa-8205	422	10	output	output	NOUN
cjfa-8205	422	11	weights	weight	NOUN
cjfa-8205	422	12	are	be	AUX
cjfa-8205	422	13	determined	determine	VERB
cjfa-8205	422	14	analytically	analytically	ADV
cjfa-8205	422	15	.	.	PUNCT
cjfa-8205	423	1	main	main	ADJ
cjfa-8205	423	2	advantage	advantage	NOUN
cjfa-8205	423	3	of	of	ADP
cjfa-8205	423	4	this	this	DET
cjfa-8205	423	5	type	type	NOUN
cjfa-8205	423	6	of	of	ADP
cjfa-8205	423	7	learning	learning	NOUN
cjfa-8205	423	8	is	be	AUX
cjfa-8205	423	9	speed	speed	NOUN
cjfa-8205	423	10	,	,	PUNCT
cjfa-8205	423	11	which	which	PRON
cjfa-8205	423	12	is	be	AUX
cjfa-8205	423	13	many	many	ADJ
cjfa-8205	423	14	times	time	NOUN
cjfa-8205	423	15	faster	fast	ADV
cjfa-8205	423	16	than	than	ADP
cjfa-8205	423	17	conventional	conventional	ADJ
cjfa-8205	423	18	iterative	iterative	NOUN
cjfa-8205	423	19	tuning	tuning	NOUN
cjfa-8205	423	20	(	(	PUNCT
cjfa-8205	423	21	such	such	ADJ
cjfa-8205	423	22	as	as	ADP
cjfa-8205	423	23	backpropagation	backpropagation	NOUN
cjfa-8205	423	24	)	)	PUNCT
cjfa-8205	423	25	.	.	PUNCT
cjfa-8205	424	1	given	give	VERB
cjfa-8205	424	2	n	n	PRON
cjfa-8205	424	3	number	number	NOUN
cjfa-8205	424	4	of	of	ADP
cjfa-8205	424	5	observations	observation	NOUN
cjfa-8205	424	6	(	(	PUNCT
cjfa-8205	424	7	xi	xi	PROPN
cjfa-8205	424	8	,	,	PUNCT
cjfa-8205	424	9	yi	yi	PROPN
cjfa-8205	424	10	)	)	PUNCT
cjfa-8205	424	11	,	,	PUNCT
cjfa-8205	424	12	single	single	ADJ
cjfa-8205	424	13	layer	layer	NOUN
cjfa-8205	424	14	neural	neural	ADJ
cjfa-8205	424	15	network	network	NOUN
cjfa-8205	424	16	output	output	NOUN
cjfa-8205	424	17	with	with	ADP
cjfa-8205	424	18	m	m	ADP
cjfa-8205	424	19	hidden	hide	VERB
cjfa-8205	424	20	nodes	node	NOUN
cjfa-8205	424	21	is	be	AUX
cjfa-8205	424	22	modeled	model	VERB
cjfa-8205	424	23	as	as	ADP
cjfa-8205	424	24	:	:	PUNCT
cjfa-8205	424	25	�	�	X
cjfa-8205	424	26	�	�	PROPN
cjfa-8205	424	27	=	=	SYM
cjfa-8205	424	28	∑	∑	PUNCT
cjfa-8205	424	29	�	�	PROPN
cjfa-8205	424	30	�	�	PROPN
cjfa-8205	424	31	�	�	PROPN
cjfa-8205	424	32	(	(	PUNCT
cjfa-8205	424	33	�	�	PROPN
cjfa-8205	424	34	�	�	PROPN
cjfa-8205	424	35	�	�	PROPN
cjfa-8205	424	36	�	�	PROPN
cjfa-8205	424	37	�	�	PROPN
cjfa-8205	424	38	�	�	PROPN
cjfa-8205	424	39	�	�	PROPN
cjfa-8205	424	40	)	)	PUNCT
cjfa-8205	424	41	�	�	PROPN
cjfa-8205	424	42	�	�	PROPN
cjfa-8205	424	43	�	�	PROPN
cjfa-8205	424	44	�	�	PROPN
cjfa-8205	424	45	.	.	PUNCT
cjfa-8205	425	1	where	where	SCONJ
cjfa-8205	425	2	�	�	PROPN
cjfa-8205	425	3	�	�	PROPN
cjfa-8205	425	4	is	be	AUX
cjfa-8205	425	5	ith	ith	PROPN
cjfa-8205	425	6	input	input	NOUN
cjfa-8205	425	7	vector	vector	NOUN
cjfa-8205	425	8	;	;	PUNCT
cjfa-8205	425	9	�	�	PROPN
cjfa-8205	425	10	�	�	PROPN
cjfa-8205	425	11	is	be	AUX
cjfa-8205	425	12	weight	weight	NOUN
cjfa-8205	425	13	vector	vector	NOUN
cjfa-8205	425	14	connecting	connect	VERB
cjfa-8205	425	15	the	the	DET
cjfa-8205	425	16	jth	jth	PROPN
cjfa-8205	425	17	hidden	hide	VERB
cjfa-8205	425	18	node	node	NOUN
cjfa-8205	425	19	and	and	CCONJ
cjfa-8205	425	20	the	the	DET
cjfa-8205	425	21	input	input	NOUN
cjfa-8205	425	22	nodes	node	NOUN
cjfa-8205	425	23	;	;	PUNCT
cjfa-8205	425	24	�	�	PROPN
cjfa-8205	425	25	�	�	PROPN
cjfa-8205	425	26	is	be	AUX
cjfa-8205	425	27	weight	weight	NOUN
cjfa-8205	425	28	scalar	scalar	ADV
cjfa-8205	425	29	connecting	connect	VERB
cjfa-8205	425	30	jth	jth	PROPN
cjfa-8205	425	31	hidden	hide	VERB
cjfa-8205	425	32	node	node	NOUN
cjfa-8205	425	33	and	and	CCONJ
cjfa-8205	425	34	output	output	NOUN
cjfa-8205	425	35	node	node	NOUN
cjfa-8205	425	36	;	;	PUNCT
cjfa-8205	425	37	�	�	PROPN
cjfa-8205	425	38	�	�	PROPN
cjfa-8205	425	39	is	be	AUX
cjfa-8205	425	40	bias	bias	NOUN
cjfa-8205	425	41	parameter	parameter	NOUN
cjfa-8205	425	42	of	of	ADP
cjfa-8205	425	43	jth	jth	PROPN
cjfa-8205	425	44	hidden	hide	VERB
cjfa-8205	425	45	node	node	NOUN
cjfa-8205	425	46	.	.	PUNCT
cjfa-8205	426	1	in	in	ADP
cjfa-8205	426	2	this	this	DET
cjfa-8205	426	3	research	research	NOUN
cjfa-8205	426	4	linear	linear	NOUN
cjfa-8205	426	5	output	output	NOUN
cjfa-8205	426	6	nodes	node	NOUN
cjfa-8205	426	7	and	and	CCONJ
cjfa-8205	426	8	sigmoid	sigmoid	NOUN
cjfa-8205	426	9	hidden	hide	VERB
cjfa-8205	426	10	nodes	node	NOUN
cjfa-8205	426	11	are	be	AUX
cjfa-8205	426	12	used	use	VERB
cjfa-8205	426	13	.	.	PUNCT
cjfa-8205	427	1	above	above	ADP
cjfa-8205	427	2	equation	equation	NOUN
cjfa-8205	427	3	can	can	AUX
cjfa-8205	427	4	be	be	AUX
cjfa-8205	427	5	written	write	VERB
cjfa-8205	427	6	in	in	ADP
cjfa-8205	427	7	vector	vector	NOUN
cjfa-8205	427	8	form	form	NOUN
cjfa-8205	427	9	:	:	PUNCT
cjfa-8205	427	10	�	�	PROPN
cjfa-8205	427	11	=	=	SYM
cjfa-8205	427	12	�	�	PROPN
cjfa-8205	427	13	�	�	PROPN
cjfa-8205	427	14	.	.	PUNCT
cjfa-8205	427	15	where	where	SCONJ
cjfa-8205	427	16	�	�	PROPN
cjfa-8205	427	17	is	be	AUX
cjfa-8205	427	18	�	�	PROPN
cjfa-8205	427	19	�	�	PROPN
cjfa-8205	427	20	�	�	PROPN
cjfa-8205	427	21	hidden	hide	VERB
cjfa-8205	427	22	layer	layer	NOUN
cjfa-8205	427	23	output	output	NOUN
cjfa-8205	427	24	matrix	matrix	NOUN
cjfa-8205	427	25	and	and	CCONJ
cjfa-8205	427	26	�	�	PROPN
cjfa-8205	427	27	�	�	PROPN
cjfa-8205	427	28	�	�	PROPN
cjfa-8205	427	29	�	�	PROPN
cjfa-8205	427	30	=	=	SYM
cjfa-8205	427	31	�	�	PROPN
cjfa-8205	427	32	(	(	PUNCT
cjfa-8205	427	33	�	�	PROPN
cjfa-8205	427	34	�	�	PROPN
cjfa-8205	427	35	�	�	PROPN
cjfa-8205	427	36	�	�	PROPN
cjfa-8205	427	37	�	�	PROPN
cjfa-8205	427	38	�	�	PROPN
cjfa-8205	427	39	�	�	PROPN
cjfa-8205	427	40	)	)	PUNCT
cjfa-8205	427	41	.	.	PUNCT
cjfa-8205	428	1	the	the	DET
cjfa-8205	428	2	solution	solution	NOUN
cjfa-8205	428	3	of	of	ADP
cjfa-8205	428	4	applying	apply	VERB
cjfa-8205	428	5	elm	elm	NOUN
cjfa-8205	428	6	theory	theory	NOUN
cjfa-8205	428	7	is	be	AUX
cjfa-8205	428	8	simply	simply	ADV
cjfa-8205	428	9	estimated	estimate	VERB
cjfa-8205	428	10	as	as	ADP
cjfa-8205	428	11	:	:	PUNCT
cjfa-8205	428	12	�	�	PROPN
cjfa-8205	428	13	=	=	SYM
cjfa-8205	428	14	�	�	PROPN
cjfa-8205	428	15	�	�	PROPN
cjfa-8205	428	16	�	�	PROPN
cjfa-8205	428	17	�	�	PROPN
cjfa-8205	428	18	�	�	PROPN
cjfa-8205	428	19	where	where	SCONJ
cjfa-8205	428	20	�	�	PROPN
cjfa-8205	428	21	�	�	PROPN
cjfa-8205	428	22	=	=	SYM
cjfa-8205	428	23	(	(	PUNCT
cjfa-8205	428	24	�	�	PROPN
cjfa-8205	428	25	�	�	PROPN
cjfa-8205	428	26	�	�	PROPN
cjfa-8205	428	27	)	)	PUNCT
cjfa-8205	428	28	�	�	PROPN
cjfa-8205	428	29	�	�	PROPN
cjfa-8205	428	30	�	�	PROPN
cjfa-8205	428	31	�	�	PROPN
cjfa-8205	428	32	is	be	AUX
cjfa-8205	428	33	moore	moore	NOUN
cjfa-8205	428	34	–	–	PUNCT
cjfa-8205	428	35	penrose	penrose	NOUN
cjfa-8205	428	36	generalized	generalize	VERB
cjfa-8205	428	37	inverse	inverse	NOUN
cjfa-8205	428	38	(	(	PUNCT
cjfa-8205	428	39	pseudoinverse	pseudoinverse	NOUN
cjfa-8205	428	40	)	)	PUNCT
cjfa-8205	428	41	matrix	matrix	NOUN
cjfa-8205	428	42	.	.	PUNCT
cjfa-8205	429	1	a	a	DET
cjfa-8205	429	2	matlab	matlab	PROPN
cjfa-8205	429	3	implementation	implementation	NOUN
cjfa-8205	429	4	of	of	ADP
cjfa-8205	429	5	classical	classical	ADJ
cjfa-8205	429	6	elm	elm	NOUN
cjfa-8205	429	7	is	be	AUX
cjfa-8205	429	8	used	use	VERB
cjfa-8205	429	9	in	in	ADP
cjfa-8205	429	10	this	this	DET
cjfa-8205	429	11	research	research	NOUN
cjfa-8205	429	12	,	,	PUNCT
cjfa-8205	429	13	which	which	PRON
cjfa-8205	429	14	is	be	AUX
cjfa-8205	429	15	available	available	ADJ
cjfa-8205	429	16	at	at	ADP
cjfa-8205	429	17	webpage	webpage	NOUN
cjfa-8205	429	18	(	(	PUNCT
cjfa-8205	429	19	see	see	PROPN
cjfa-8205	429	20	huang	huang	PROPN
cjfa-8205	429	21	,	,	PUNCT
cjfa-8205	429	22	zhu	zhu	PROPN
cjfa-8205	429	23	&	&	CCONJ
cjfa-8205	429	24	siew	siew	PROPN
cjfa-8205	429	25	2006	2006	NUM
cjfa-8205	429	26	)	)	PUNCT
cjfa-8205	429	27	.	.	PUNCT
cjfa-8205	430	1	experimental	experimental	ADJ
cjfa-8205	430	2	data	datum	NOUN
cjfa-8205	430	3	in	in	ADP
cjfa-8205	430	4	this	this	DET
cjfa-8205	430	5	research	research	NOUN
cjfa-8205	430	6	8	8	NUM
cjfa-8205	430	7	different	different	ADJ
cjfa-8205	430	8	typical	typical	ADJ
cjfa-8205	430	9	atm	atm	ADJ
cjfa-8205	430	10	daily	daily	ADJ
cjfa-8205	430	11	withdrawal	withdrawal	NOUN
cjfa-8205	430	12	data	datum	NOUN
cjfa-8205	430	13	is	be	AUX
cjfa-8205	430	14	used	use	VERB
cjfa-8205	430	15	with	with	ADP
cjfa-8205	430	16	historical	historical	ADJ
cjfa-8205	430	17	period	period	NOUN
cjfa-8205	430	18	up	up	ADP
cjfa-8205	430	19	to	to	ADP
cjfa-8205	430	20	990	990	NUM
cjfa-8205	430	21	days	day	NOUN
cjfa-8205	430	22	.	.	PUNCT
cjfa-8205	431	1	those	those	DET
cjfa-8205	431	2	8	8	NUM
cjfa-8205	431	3	atms	atms	NOUN
cjfa-8205	431	4	were	be	AUX
cjfa-8205	431	5	selected	select	VERB
cjfa-8205	431	6	from	from	ADP
cjfa-8205	431	7	large	large	ADJ
cjfa-8205	431	8	database	database	NOUN
cjfa-8205	431	9	and	and	CCONJ
cjfa-8205	431	10	represent	represent	VERB
cjfa-8205	431	11	typical	typical	ADJ
cjfa-8205	431	12	cash	cash	NOUN
cjfa-8205	431	13	flow	flow	NOUN
cjfa-8205	431	14	factors	factor	NOUN
cjfa-8205	431	15	that	that	PRON
cjfa-8205	431	16	occur	occur	VERB
cjfa-8205	431	17	in	in	ADP
cjfa-8205	431	18	cash	cash	NOUN
cjfa-8205	431	19	flow	flow	NOUN
cjfa-8205	431	20	process	process	NOUN
cjfa-8205	431	21	.	.	PUNCT
cjfa-8205	432	1	further	far	ADV
cjfa-8205	432	2	a	a	DET
cjfa-8205	432	3	short	short	ADJ
cjfa-8205	432	4	explanation	explanation	NOUN
cjfa-8205	432	5	of	of	ADP
cjfa-8205	432	6	every	every	DET
cjfa-8205	432	7	atm	atm	NOUN
cjfa-8205	432	8	is	be	AUX
cjfa-8205	432	9	conduced	conduce	VERB
cjfa-8205	432	10	:	:	PUNCT
cjfa-8205	432	11			NOUN
cjfa-8205	432	12	atm	atm	ADJ
cjfa-8205	432	13	number	number	NOUN
cjfa-8205	432	14	1	1	NUM
cjfa-8205	432	15	contains	contain	VERB
cjfa-8205	432	16	cash	cash	NOUN
cjfa-8205	432	17	flow	flow	NOUN
cjfa-8205	432	18	with	with	ADP
cjfa-8205	432	19	strong	strong	ADJ
cjfa-8205	432	20	weekly	weekly	ADJ
cjfa-8205	432	21	seasonality	seasonality	NOUN
cjfa-8205	432	22	factor	factor	NOUN
cjfa-8205	432	23	;	;	PUNCT
cjfa-8205	432	24			NOUN
cjfa-8205	432	25	atm	atm	ADJ
cjfa-8205	432	26	number	number	NOUN
cjfa-8205	432	27	2	2	NUM
cjfa-8205	432	28	contains	contain	VERB
cjfa-8205	432	29	cash	cash	NOUN
cjfa-8205	432	30	flow	flow	NOUN
cjfa-8205	432	31	with	with	ADP
cjfa-8205	432	32	strong	strong	ADJ
cjfa-8205	432	33	yearly	yearly	ADJ
cjfa-8205	432	34	and	and	CCONJ
cjfa-8205	432	35	weekly	weekly	ADJ
cjfa-8205	432	36	seasonality	seasonality	NOUN
cjfa-8205	432	37	factors	factor	NOUN
cjfa-8205	432	38	,	,	PUNCT
cjfa-8205	432	39	when	when	SCONJ
cjfa-8205	432	40	yearly	yearly	ADJ
cjfa-8205	432	41	seasonality	seasonality	NOUN
cjfa-8205	432	42	is	be	AUX
cjfa-8205	432	43	smooth	smooth	ADJ
cjfa-8205	432	44	;	;	PUNCT
cjfa-8205	432	45			NOUN
cjfa-8205	432	46	atm	atm	ADJ
cjfa-8205	432	47	number	number	NOUN
cjfa-8205	432	48	3	3	NUM
cjfa-8205	432	49	contains	contain	VERB
cjfa-8205	432	50	cash	cash	NOUN
cjfa-8205	432	51	flow	flow	NOUN
cjfa-8205	432	52	with	with	ADP
cjfa-8205	432	53	strong	strong	ADJ
cjfa-8205	432	54	monthly	monthly	ADJ
cjfa-8205	432	55	seasonality	seasonality	NOUN
cjfa-8205	432	56	factor	factor	NOUN
cjfa-8205	432	57	;	;	PUNCT
cjfa-8205	432	58	.	.	PUNCT
cjfa-8205	433	1	where	where	SCONJ
cjfa-8205	433	2	xi	xi	PROPN
cjfa-8205	433	3	is	be	AUX
cjfa-8205	433	4	wj	wj	PROPN
cjfa-8205	433	5	th	th	NUM
cjfa-8205	433	6	input	input	NOUN
cjfa-8205	433	7	vector	vector	NOUN
cjfa-8205	433	8	;	;	PUNCT
cjfa-8205	433	9	is	be	AUX
cjfa-8205	433	10	weight	weight	NOUN
cjfa-8205	433	11	vector	vector	NOUN
cjfa-8205	433	12	connecting	connect	VERB
cjfa-8205	433	13	the	the	DET
cjfa-8205	433	14	jth	jth	PROPN
cjfa-8205	433	15	hidden	hide	VERB
cjfa-8205	433	16	node	node	NOUN
cjfa-8205	433	17	and	and	CCONJ
cjfa-8205	433	18	the	the	DET
cjfa-8205	433	19	input	input	NOUN
cjfa-8205	433	20	nodes	nod	VERB
cjfa-8205	433	21	;	;	PUNCT
cjfa-8205	433	22	ßj	ßj	ADV
cjfa-8205	433	23	is	be	AUX
cjfa-8205	433	24	weight	weight	NOUN
cjfa-8205	433	25	scalar	scalar	ADV
cjfa-8205	433	26	connecting	connect	VERB
cjfa-8205	433	27	jth	jth	PROPN
cjfa-8205	433	28	hidden	hide	VERB
cjfa-8205	433	29	node	node	NOUN
cjfa-8205	433	30	and	and	CCONJ
cjfa-8205	433	31	output	output	NOUN
cjfa-8205	433	32	node	node	NOUN
cjfa-8205	433	33	;	;	PUNCT
cjfa-8205	433	34	bj	bj	NOUN
cjfa-8205	433	35	is	be	AUX
cjfa-8205	433	36	bias	bias	NOUN
cjfa-8205	433	37	parameter	parameter	NOUN
cjfa-8205	433	38	of	of	ADP
cjfa-8205	433	39	jth	jth	PROPN
cjfa-8205	433	40	hidden	hide	VERB
cjfa-8205	433	41	node	node	NOUN
cjfa-8205	433	42	.	.	PUNCT
cjfa-8205	434	1	in	in	ADP
cjfa-8205	434	2	this	this	DET
cjfa-8205	434	3	research	research	NOUN
cjfa-8205	434	4	linear	linear	NOUN
cjfa-8205	434	5	output	output	NOUN
cjfa-8205	434	6	nodes	node	NOUN
cjfa-8205	434	7	and	and	CCONJ
cjfa-8205	434	8	sigmoid	sigmoid	NOUN
cjfa-8205	434	9	hidden	hide	VERB
cjfa-8205	434	10	nodes	node	NOUN
cjfa-8205	434	11	are	be	AUX
cjfa-8205	434	12	used	use	VERB
cjfa-8205	434	13	.	.	PUNCT
cjfa-8205	435	1	above	above	ADP
cjfa-8205	435	2	equation	equation	NOUN
cjfa-8205	435	3	can	can	AUX
cjfa-8205	435	4	be	be	AUX
cjfa-8205	435	5	written	write	VERB
cjfa-8205	435	6	in	in	ADP
cjfa-8205	435	7	vector	vector	NOUN
cjfa-8205	435	8	form	form	NOUN
cjfa-8205	435	9	:	:	PUNCT
cjfa-8205	435	10	–	–	PUNCT
cjfa-8205	435	11	extreme	extreme	ADJ
cjfa-8205	435	12	learning	learning	NOUN
cjfa-8205	435	13	machine	machine	NOUN
cjfa-8205	435	14	model	model	NOUN
cjfa-8205	435	15	.	.	PUNCT
cjfa-8205	436	1	extreme	extreme	ADJ
cjfa-8205	436	2	learning	learning	NOUN
cjfa-8205	436	3	machines	machine	NOUN
cjfa-8205	436	4	(	(	PUNCT
cjfa-8205	436	5	elm	elm	PROPN
cjfa-8205	436	6	)	)	PUNCT
cjfa-8205	436	7	(	(	PUNCT
cjfa-8205	436	8	huang	huang	PROPN
cjfa-8205	436	9	,	,	PUNCT
cjfa-8205	436	10	zhu	zhu	PROPN
cjfa-8205	436	11	&	&	CCONJ
cjfa-8205	436	12	siew	siew	PROPN
cjfa-8205	436	13	2006	2006	NUM
cjfa-8205	436	14	)	)	PUNCT
cjfa-8205	436	15	have	have	VERB
cjfa-8205	436	16	the	the	DET
cjfa-8205	436	17	same	same	ADJ
cjfa-8205	436	18	architecture	architecture	NOUN
cjfa-8205	436	19	as	as	ADP
cjfa-8205	436	20	single	single	ADJ
cjfa-8205	436	21	hidden	hide	VERB
cjfa-8205	436	22	layer	layer	NOUN
cjfa-8205	436	23	feed	feed	NOUN
cjfa-8205	436	24	-	-	PUNCT
cjfa-8205	436	25	forward	forward	ADV
cjfa-8205	436	26	neural	neural	ADJ
cjfa-8205	436	27	networks	network	NOUN
cjfa-8205	436	28	.	.	PUNCT
cjfa-8205	437	1	differently	differently	ADV
cjfa-8205	437	2	from	from	ADP
cjfa-8205	437	3	conventional	conventional	ADJ
cjfa-8205	437	4	neural	neural	ADJ
cjfa-8205	437	5	network	network	NOUN
cjfa-8205	437	6	achitectures	achitecture	NOUN
cjfa-8205	437	7	,	,	PUNCT
cjfa-8205	437	8	elm	elm	NOUN
cjfa-8205	437	9	does	do	AUX
cjfa-8205	437	10	n’t	not	PART
cjfa-8205	437	11	require	require	VERB
cjfa-8205	437	12	backpropagation	backpropagation	NOUN
cjfa-8205	437	13	for	for	ADP
cjfa-8205	437	14	parameter	parameter	NOUN
cjfa-8205	437	15	tuning	tuning	NOUN
cjfa-8205	437	16	.	.	PUNCT
cjfa-8205	438	1	instead	instead	ADV
cjfa-8205	438	2	,	,	PUNCT
cjfa-8205	438	3	hidden	hide	VERB
cjfa-8205	438	4	node	node	ADJ
cjfa-8205	438	5	weights	weight	NOUN
cjfa-8205	438	6	are	be	AUX
cjfa-8205	438	7	chosen	choose	VERB
cjfa-8205	438	8	randomly	randomly	ADV
cjfa-8205	438	9	and	and	CCONJ
cjfa-8205	438	10	output	output	NOUN
cjfa-8205	438	11	weights	weight	NOUN
cjfa-8205	438	12	are	be	AUX
cjfa-8205	438	13	determined	determine	VERB
cjfa-8205	438	14	analytically	analytically	ADV
cjfa-8205	438	15	.	.	PUNCT
cjfa-8205	439	1	main	main	ADJ
cjfa-8205	439	2	advantage	advantage	NOUN
cjfa-8205	439	3	of	of	ADP
cjfa-8205	439	4	this	this	DET
cjfa-8205	439	5	type	type	NOUN
cjfa-8205	439	6	of	of	ADP
cjfa-8205	439	7	learning	learning	NOUN
cjfa-8205	439	8	is	be	AUX
cjfa-8205	439	9	speed	speed	NOUN
cjfa-8205	439	10	,	,	PUNCT
cjfa-8205	439	11	which	which	PRON
cjfa-8205	439	12	is	be	AUX
cjfa-8205	439	13	many	many	ADJ
cjfa-8205	439	14	times	time	NOUN
cjfa-8205	439	15	faster	fast	ADV
cjfa-8205	439	16	than	than	ADP
cjfa-8205	439	17	conventional	conventional	ADJ
cjfa-8205	439	18	iterative	iterative	NOUN
cjfa-8205	439	19	tuning	tuning	NOUN
cjfa-8205	439	20	(	(	PUNCT
cjfa-8205	439	21	such	such	ADJ
cjfa-8205	439	22	as	as	ADP
cjfa-8205	439	23	backpropagation	backpropagation	NOUN
cjfa-8205	439	24	)	)	PUNCT
cjfa-8205	439	25	.	.	PUNCT
cjfa-8205	440	1	given	give	VERB
cjfa-8205	440	2	n	n	PRON
cjfa-8205	440	3	number	number	NOUN
cjfa-8205	440	4	of	of	ADP
cjfa-8205	440	5	observations	observation	NOUN
cjfa-8205	440	6	(	(	PUNCT
cjfa-8205	440	7	xi	xi	PROPN
cjfa-8205	440	8	,	,	PUNCT
cjfa-8205	440	9	yi	yi	PROPN
cjfa-8205	440	10	)	)	PUNCT
cjfa-8205	440	11	,	,	PUNCT
cjfa-8205	440	12	single	single	ADJ
cjfa-8205	440	13	layer	layer	NOUN
cjfa-8205	440	14	neural	neural	ADJ
cjfa-8205	440	15	network	network	NOUN
cjfa-8205	440	16	output	output	NOUN
cjfa-8205	440	17	with	with	ADP
cjfa-8205	440	18	m	m	ADP
cjfa-8205	440	19	hidden	hide	VERB
cjfa-8205	440	20	nodes	node	NOUN
cjfa-8205	440	21	is	be	AUX
cjfa-8205	440	22	modeled	model	VERB
cjfa-8205	440	23	as	as	ADP
cjfa-8205	440	24	:	:	PUNCT
cjfa-8205	440	25	�	�	X
cjfa-8205	440	26	�	�	PROPN
cjfa-8205	440	27	=	=	SYM
cjfa-8205	440	28	∑	∑	PUNCT
cjfa-8205	440	29	�	�	PROPN
cjfa-8205	440	30	�	�	PROPN
cjfa-8205	440	31	�	�	PROPN
cjfa-8205	440	32	(	(	PUNCT
cjfa-8205	440	33	�	�	PROPN
cjfa-8205	440	34	�	�	PROPN
cjfa-8205	440	35	�	�	PROPN
cjfa-8205	440	36	�	�	PROPN
cjfa-8205	440	37	�	�	PROPN
cjfa-8205	440	38	�	�	PROPN
cjfa-8205	440	39	�	�	PROPN
cjfa-8205	440	40	)	)	PUNCT
cjfa-8205	440	41	�	�	PROPN
cjfa-8205	440	42	�	�	PROPN
cjfa-8205	440	43	�	�	PROPN
cjfa-8205	440	44	�	�	PROPN
cjfa-8205	440	45	.	.	PUNCT
cjfa-8205	441	1	where	where	SCONJ
cjfa-8205	441	2	�	�	PROPN
cjfa-8205	441	3	�	�	PROPN
cjfa-8205	441	4	is	be	AUX
cjfa-8205	441	5	ith	ith	PROPN
cjfa-8205	441	6	input	input	NOUN
cjfa-8205	441	7	vector	vector	NOUN
cjfa-8205	441	8	;	;	PUNCT
cjfa-8205	441	9	�	�	PROPN
cjfa-8205	441	10	�	�	PROPN
cjfa-8205	441	11	is	be	AUX
cjfa-8205	441	12	weight	weight	NOUN
cjfa-8205	441	13	vector	vector	NOUN
cjfa-8205	441	14	connecting	connect	VERB
cjfa-8205	441	15	the	the	DET
cjfa-8205	441	16	jth	jth	PROPN
cjfa-8205	441	17	hidden	hide	VERB
cjfa-8205	441	18	node	node	NOUN
cjfa-8205	441	19	and	and	CCONJ
cjfa-8205	441	20	the	the	DET
cjfa-8205	441	21	input	input	NOUN
cjfa-8205	441	22	nodes	node	NOUN
cjfa-8205	441	23	;	;	PUNCT
cjfa-8205	441	24	�	�	PROPN
cjfa-8205	441	25	�	�	PROPN
cjfa-8205	441	26	is	be	AUX
cjfa-8205	441	27	weight	weight	NOUN
cjfa-8205	441	28	scalar	scalar	ADV
cjfa-8205	441	29	connecting	connect	VERB
cjfa-8205	441	30	jth	jth	PROPN
cjfa-8205	441	31	hidden	hide	VERB
cjfa-8205	441	32	node	node	NOUN
cjfa-8205	441	33	and	and	CCONJ
cjfa-8205	441	34	output	output	NOUN
cjfa-8205	441	35	node	node	NOUN
cjfa-8205	441	36	;	;	PUNCT
cjfa-8205	441	37	�	�	PROPN
cjfa-8205	441	38	�	�	PROPN
cjfa-8205	441	39	is	be	AUX
cjfa-8205	441	40	bias	bias	NOUN
cjfa-8205	441	41	parameter	parameter	NOUN
cjfa-8205	441	42	of	of	ADP
cjfa-8205	441	43	jth	jth	PROPN
cjfa-8205	441	44	hidden	hide	VERB
cjfa-8205	441	45	node	node	NOUN
cjfa-8205	441	46	.	.	PUNCT
cjfa-8205	442	1	in	in	ADP
cjfa-8205	442	2	this	this	DET
cjfa-8205	442	3	research	research	NOUN
cjfa-8205	442	4	linear	linear	NOUN
cjfa-8205	442	5	output	output	NOUN
cjfa-8205	442	6	nodes	node	NOUN
cjfa-8205	442	7	and	and	CCONJ
cjfa-8205	442	8	sigmoid	sigmoid	NOUN
cjfa-8205	442	9	hidden	hide	VERB
cjfa-8205	442	10	nodes	node	NOUN
cjfa-8205	442	11	are	be	AUX
cjfa-8205	442	12	used	use	VERB
cjfa-8205	442	13	.	.	PUNCT
cjfa-8205	443	1	above	above	ADP
cjfa-8205	443	2	equation	equation	NOUN
cjfa-8205	443	3	can	can	AUX
cjfa-8205	443	4	be	be	AUX
cjfa-8205	443	5	written	write	VERB
cjfa-8205	443	6	in	in	ADP
cjfa-8205	443	7	vector	vector	NOUN
cjfa-8205	443	8	form	form	NOUN
cjfa-8205	443	9	:	:	PUNCT
cjfa-8205	443	10	�	�	PROPN
cjfa-8205	443	11	=	=	SYM
cjfa-8205	443	12	�	�	PROPN
cjfa-8205	443	13	�	�	PROPN
cjfa-8205	443	14	.	.	PUNCT
cjfa-8205	443	15	where	where	SCONJ
cjfa-8205	443	16	�	�	PROPN
cjfa-8205	443	17	is	be	AUX
cjfa-8205	443	18	�	�	PROPN
cjfa-8205	443	19	�	�	PROPN
cjfa-8205	443	20	�	�	PROPN
cjfa-8205	443	21	hidden	hide	VERB
cjfa-8205	443	22	layer	layer	NOUN
cjfa-8205	443	23	output	output	NOUN
cjfa-8205	443	24	matrix	matrix	NOUN
cjfa-8205	443	25	and	and	CCONJ
cjfa-8205	443	26	�	�	PROPN
cjfa-8205	443	27	�	�	PROPN
cjfa-8205	443	28	�	�	PROPN
cjfa-8205	443	29	�	�	PROPN
cjfa-8205	443	30	=	=	SYM
cjfa-8205	443	31	�	�	PROPN
cjfa-8205	443	32	(	(	PUNCT
cjfa-8205	443	33	�	�	PROPN
cjfa-8205	443	34	�	�	PROPN
cjfa-8205	443	35	�	�	PROPN
cjfa-8205	443	36	�	�	PROPN
cjfa-8205	443	37	�	�	PROPN
cjfa-8205	443	38	�	�	PROPN
cjfa-8205	443	39	�	�	PROPN
cjfa-8205	443	40	)	)	PUNCT
cjfa-8205	443	41	.	.	PUNCT
cjfa-8205	444	1	the	the	DET
cjfa-8205	444	2	solution	solution	NOUN
cjfa-8205	444	3	of	of	ADP
cjfa-8205	444	4	applying	apply	VERB
cjfa-8205	444	5	elm	elm	NOUN
cjfa-8205	444	6	theory	theory	NOUN
cjfa-8205	444	7	is	be	AUX
cjfa-8205	444	8	simply	simply	ADV
cjfa-8205	444	9	estimated	estimate	VERB
cjfa-8205	444	10	as	as	ADP
cjfa-8205	444	11	:	:	PUNCT
cjfa-8205	444	12	�	�	PROPN
cjfa-8205	444	13	=	=	SYM
cjfa-8205	444	14	�	�	PROPN
cjfa-8205	444	15	�	�	PROPN
cjfa-8205	444	16	�	�	PROPN
cjfa-8205	444	17	�	�	PROPN
cjfa-8205	444	18	�	�	PROPN
cjfa-8205	444	19	where	where	SCONJ
cjfa-8205	444	20	�	�	PROPN
cjfa-8205	444	21	�	�	PROPN
cjfa-8205	444	22	=	=	SYM
cjfa-8205	444	23	(	(	PUNCT
cjfa-8205	444	24	�	�	PROPN
cjfa-8205	444	25	�	�	PROPN
cjfa-8205	444	26	�	�	PROPN
cjfa-8205	444	27	)	)	PUNCT
cjfa-8205	444	28	�	�	PROPN
cjfa-8205	444	29	�	�	PROPN
cjfa-8205	444	30	�	�	PROPN
cjfa-8205	444	31	�	�	PROPN
cjfa-8205	444	32	is	be	AUX
cjfa-8205	444	33	moore	moore	NOUN
cjfa-8205	444	34	–	–	PUNCT
cjfa-8205	444	35	penrose	penrose	NOUN
cjfa-8205	444	36	generalized	generalize	VERB
cjfa-8205	444	37	inverse	inverse	NOUN
cjfa-8205	444	38	(	(	PUNCT
cjfa-8205	444	39	pseudoinverse	pseudoinverse	NOUN
cjfa-8205	444	40	)	)	PUNCT
cjfa-8205	444	41	matrix	matrix	NOUN
cjfa-8205	444	42	.	.	PUNCT
cjfa-8205	445	1	a	a	DET
cjfa-8205	445	2	matlab	matlab	PROPN
cjfa-8205	445	3	implementation	implementation	NOUN
cjfa-8205	445	4	of	of	ADP
cjfa-8205	445	5	classical	classical	ADJ
cjfa-8205	445	6	elm	elm	NOUN
cjfa-8205	445	7	is	be	AUX
cjfa-8205	445	8	used	use	VERB
cjfa-8205	445	9	in	in	ADP
cjfa-8205	445	10	this	this	DET
cjfa-8205	445	11	research	research	NOUN
cjfa-8205	445	12	,	,	PUNCT
cjfa-8205	445	13	which	which	PRON
cjfa-8205	445	14	is	be	AUX
cjfa-8205	445	15	available	available	ADJ
cjfa-8205	445	16	at	at	ADP
cjfa-8205	445	17	webpage	webpage	NOUN
cjfa-8205	445	18	(	(	PUNCT
cjfa-8205	445	19	see	see	PROPN
cjfa-8205	445	20	huang	huang	PROPN
cjfa-8205	445	21	,	,	PUNCT
cjfa-8205	445	22	zhu	zhu	PROPN
cjfa-8205	445	23	&	&	CCONJ
cjfa-8205	445	24	siew	siew	PROPN
cjfa-8205	445	25	2006	2006	NUM
cjfa-8205	445	26	)	)	PUNCT
cjfa-8205	445	27	.	.	PUNCT
cjfa-8205	446	1	experimental	experimental	ADJ
cjfa-8205	446	2	data	datum	NOUN
cjfa-8205	446	3	in	in	ADP
cjfa-8205	446	4	this	this	DET
cjfa-8205	446	5	research	research	NOUN
cjfa-8205	446	6	8	8	NUM
cjfa-8205	446	7	different	different	ADJ
cjfa-8205	446	8	typical	typical	ADJ
cjfa-8205	446	9	atm	atm	ADJ
cjfa-8205	446	10	daily	daily	ADJ
cjfa-8205	446	11	withdrawal	withdrawal	NOUN
cjfa-8205	446	12	data	datum	NOUN
cjfa-8205	446	13	is	be	AUX
cjfa-8205	446	14	used	use	VERB
cjfa-8205	446	15	with	with	ADP
cjfa-8205	446	16	historical	historical	ADJ
cjfa-8205	446	17	period	period	NOUN
cjfa-8205	446	18	up	up	ADP
cjfa-8205	446	19	to	to	ADP
cjfa-8205	446	20	990	990	NUM
cjfa-8205	446	21	days	day	NOUN
cjfa-8205	446	22	.	.	PUNCT
cjfa-8205	447	1	those	those	DET
cjfa-8205	447	2	8	8	NUM
cjfa-8205	447	3	atms	atms	NOUN
cjfa-8205	447	4	were	be	AUX
cjfa-8205	447	5	selected	select	VERB
cjfa-8205	447	6	from	from	ADP
cjfa-8205	447	7	large	large	ADJ
cjfa-8205	447	8	database	database	NOUN
cjfa-8205	447	9	and	and	CCONJ
cjfa-8205	447	10	represent	represent	VERB
cjfa-8205	447	11	typical	typical	ADJ
cjfa-8205	447	12	cash	cash	NOUN
cjfa-8205	447	13	flow	flow	NOUN
cjfa-8205	447	14	factors	factor	NOUN
cjfa-8205	447	15	that	that	PRON
cjfa-8205	447	16	occur	occur	VERB
cjfa-8205	447	17	in	in	ADP
cjfa-8205	447	18	cash	cash	NOUN
cjfa-8205	447	19	flow	flow	NOUN
cjfa-8205	447	20	process	process	NOUN
cjfa-8205	447	21	.	.	PUNCT
cjfa-8205	448	1	further	far	ADV
cjfa-8205	448	2	a	a	DET
cjfa-8205	448	3	short	short	ADJ
cjfa-8205	448	4	explanation	explanation	NOUN
cjfa-8205	448	5	of	of	ADP
cjfa-8205	448	6	every	every	DET
cjfa-8205	448	7	atm	atm	NOUN
cjfa-8205	448	8	is	be	AUX
cjfa-8205	448	9	conduced	conduce	VERB
cjfa-8205	448	10	:	:	PUNCT
cjfa-8205	448	11			NOUN
cjfa-8205	448	12	atm	atm	ADJ
cjfa-8205	448	13	number	number	NOUN
cjfa-8205	448	14	1	1	NUM
cjfa-8205	448	15	contains	contain	VERB
cjfa-8205	448	16	cash	cash	NOUN
cjfa-8205	448	17	flow	flow	NOUN
cjfa-8205	448	18	with	with	ADP
cjfa-8205	448	19	strong	strong	ADJ
cjfa-8205	448	20	weekly	weekly	ADJ
cjfa-8205	448	21	seasonality	seasonality	NOUN
cjfa-8205	448	22	factor	factor	NOUN
cjfa-8205	448	23	;	;	PUNCT
cjfa-8205	448	24			NOUN
cjfa-8205	448	25	atm	atm	ADJ
cjfa-8205	448	26	number	number	NOUN
cjfa-8205	448	27	2	2	NUM
cjfa-8205	448	28	contains	contain	VERB
cjfa-8205	448	29	cash	cash	NOUN
cjfa-8205	448	30	flow	flow	NOUN
cjfa-8205	448	31	with	with	ADP
cjfa-8205	448	32	strong	strong	ADJ
cjfa-8205	448	33	yearly	yearly	ADJ
cjfa-8205	448	34	and	and	CCONJ
cjfa-8205	448	35	weekly	weekly	ADJ
cjfa-8205	448	36	seasonality	seasonality	NOUN
cjfa-8205	448	37	factors	factor	NOUN
cjfa-8205	448	38	,	,	PUNCT
cjfa-8205	448	39	when	when	SCONJ
cjfa-8205	448	40	yearly	yearly	ADJ
cjfa-8205	448	41	seasonality	seasonality	NOUN
cjfa-8205	448	42	is	be	AUX
cjfa-8205	448	43	smooth	smooth	ADJ
cjfa-8205	448	44	;	;	PUNCT
cjfa-8205	448	45			NOUN
cjfa-8205	448	46	atm	atm	ADJ
cjfa-8205	448	47	number	number	NOUN
cjfa-8205	448	48	3	3	NUM
cjfa-8205	448	49	contains	contain	VERB
cjfa-8205	448	50	cash	cash	NOUN
cjfa-8205	448	51	flow	flow	NOUN
cjfa-8205	448	52	with	with	ADP
cjfa-8205	448	53	strong	strong	ADJ
cjfa-8205	448	54	monthly	monthly	ADJ
cjfa-8205	448	55	seasonality	seasonality	NOUN
cjfa-8205	448	56	factor	factor	NOUN
cjfa-8205	448	57	;	;	PUNCT
cjfa-8205	448	58	where	where	SCONJ
cjfa-8205	448	59	h	h	NOUN
cjfa-8205	448	60	is	be	AUX
cjfa-8205	448	61	n	n	ADV
cjfa-8205	448	62	x	x	SYM
cjfa-8205	448	63	m	m	VERB
cjfa-8205	448	64	hidden	hide	VERB
cjfa-8205	448	65	layer	layer	NOUN
cjfa-8205	448	66	output	output	NOUN
cjfa-8205	448	67	matrix	matrix	NOUN
cjfa-8205	448	68	and	and	CCONJ
cjfa-8205	448	69	–	–	PUNCT
cjfa-8205	448	70	extreme	extreme	ADJ
cjfa-8205	448	71	learning	learning	NOUN
cjfa-8205	448	72	machine	machine	NOUN
cjfa-8205	448	73	model	model	NOUN
cjfa-8205	448	74	.	.	PUNCT
cjfa-8205	449	1	extreme	extreme	ADJ
cjfa-8205	449	2	learning	learning	NOUN
cjfa-8205	449	3	machines	machine	NOUN
cjfa-8205	449	4	(	(	PUNCT
cjfa-8205	449	5	elm	elm	PROPN
cjfa-8205	449	6	)	)	PUNCT
cjfa-8205	449	7	(	(	PUNCT
cjfa-8205	449	8	huang	huang	PROPN
cjfa-8205	449	9	,	,	PUNCT
cjfa-8205	449	10	zhu	zhu	PROPN
cjfa-8205	449	11	&	&	CCONJ
cjfa-8205	449	12	siew	siew	PROPN
cjfa-8205	449	13	2006	2006	NUM
cjfa-8205	449	14	)	)	PUNCT
cjfa-8205	449	15	have	have	VERB
cjfa-8205	449	16	the	the	DET
cjfa-8205	449	17	same	same	ADJ
cjfa-8205	449	18	architecture	architecture	NOUN
cjfa-8205	449	19	as	as	ADP
cjfa-8205	449	20	single	single	ADJ
cjfa-8205	449	21	hidden	hide	VERB
cjfa-8205	449	22	layer	layer	NOUN
cjfa-8205	449	23	feed	feed	NOUN
cjfa-8205	449	24	-	-	PUNCT
cjfa-8205	449	25	forward	forward	ADV
cjfa-8205	449	26	neural	neural	ADJ
cjfa-8205	449	27	networks	network	NOUN
cjfa-8205	449	28	.	.	PUNCT
cjfa-8205	450	1	differently	differently	ADV
cjfa-8205	450	2	from	from	ADP
cjfa-8205	450	3	conventional	conventional	ADJ
cjfa-8205	450	4	neural	neural	ADJ
cjfa-8205	450	5	network	network	NOUN
cjfa-8205	450	6	achitectures	achitecture	NOUN
cjfa-8205	450	7	,	,	PUNCT
cjfa-8205	450	8	elm	elm	NOUN
cjfa-8205	450	9	does	do	AUX
cjfa-8205	450	10	n’t	not	PART
cjfa-8205	450	11	require	require	VERB
cjfa-8205	450	12	backpropagation	backpropagation	NOUN
cjfa-8205	450	13	for	for	ADP
cjfa-8205	450	14	parameter	parameter	NOUN
cjfa-8205	450	15	tuning	tuning	NOUN
cjfa-8205	450	16	.	.	PUNCT
cjfa-8205	451	1	instead	instead	ADV
cjfa-8205	451	2	,	,	PUNCT
cjfa-8205	451	3	hidden	hide	VERB
cjfa-8205	451	4	node	node	ADJ
cjfa-8205	451	5	weights	weight	NOUN
cjfa-8205	451	6	are	be	AUX
cjfa-8205	451	7	chosen	choose	VERB
cjfa-8205	451	8	randomly	randomly	ADV
cjfa-8205	451	9	and	and	CCONJ
cjfa-8205	451	10	output	output	NOUN
cjfa-8205	451	11	weights	weight	NOUN
cjfa-8205	451	12	are	be	AUX
cjfa-8205	451	13	determined	determine	VERB
cjfa-8205	451	14	analytically	analytically	ADV
cjfa-8205	451	15	.	.	PUNCT
cjfa-8205	452	1	main	main	ADJ
cjfa-8205	452	2	advantage	advantage	NOUN
cjfa-8205	452	3	of	of	ADP
cjfa-8205	452	4	this	this	DET
cjfa-8205	452	5	type	type	NOUN
cjfa-8205	452	6	of	of	ADP
cjfa-8205	452	7	learning	learning	NOUN
cjfa-8205	452	8	is	be	AUX
cjfa-8205	452	9	speed	speed	NOUN
cjfa-8205	452	10	,	,	PUNCT
cjfa-8205	452	11	which	which	PRON
cjfa-8205	452	12	is	be	AUX
cjfa-8205	452	13	many	many	ADJ
cjfa-8205	452	14	times	time	NOUN
cjfa-8205	452	15	faster	fast	ADV
cjfa-8205	452	16	than	than	ADP
cjfa-8205	452	17	conventional	conventional	ADJ
cjfa-8205	452	18	iterative	iterative	NOUN
cjfa-8205	452	19	tuning	tuning	NOUN
cjfa-8205	452	20	(	(	PUNCT
cjfa-8205	452	21	such	such	ADJ
cjfa-8205	452	22	as	as	ADP
cjfa-8205	452	23	backpropagation	backpropagation	NOUN
cjfa-8205	452	24	)	)	PUNCT
cjfa-8205	452	25	.	.	PUNCT
cjfa-8205	453	1	given	give	VERB
cjfa-8205	453	2	n	n	PRON
cjfa-8205	453	3	number	number	NOUN
cjfa-8205	453	4	of	of	ADP
cjfa-8205	453	5	observations	observation	NOUN
cjfa-8205	453	6	(	(	PUNCT
cjfa-8205	453	7	xi	xi	PROPN
cjfa-8205	453	8	,	,	PUNCT
cjfa-8205	453	9	yi	yi	PROPN
cjfa-8205	453	10	)	)	PUNCT
cjfa-8205	453	11	,	,	PUNCT
cjfa-8205	453	12	single	single	ADJ
cjfa-8205	453	13	layer	layer	NOUN
cjfa-8205	453	14	neural	neural	ADJ
cjfa-8205	453	15	network	network	NOUN
cjfa-8205	453	16	output	output	NOUN
cjfa-8205	453	17	with	with	ADP
cjfa-8205	453	18	m	m	ADP
cjfa-8205	453	19	hidden	hide	VERB
cjfa-8205	453	20	nodes	node	NOUN
cjfa-8205	453	21	is	be	AUX
cjfa-8205	453	22	modeled	model	VERB
cjfa-8205	453	23	as	as	ADP
cjfa-8205	453	24	:	:	PUNCT
cjfa-8205	453	25	�	�	X
cjfa-8205	453	26	�	�	PROPN
cjfa-8205	453	27	=	=	SYM
cjfa-8205	453	28	∑	∑	PUNCT
cjfa-8205	453	29	�	�	PROPN
cjfa-8205	453	30	�	�	PROPN
cjfa-8205	453	31	�	�	PROPN
cjfa-8205	453	32	(	(	PUNCT
cjfa-8205	453	33	�	�	PROPN
cjfa-8205	453	34	�	�	PROPN
cjfa-8205	453	35	�	�	PROPN
cjfa-8205	453	36	�	�	PROPN
cjfa-8205	453	37	�	�	PROPN
cjfa-8205	453	38	�	�	PROPN
cjfa-8205	453	39	�	�	PROPN
cjfa-8205	453	40	)	)	PUNCT
cjfa-8205	453	41	�	�	PROPN
cjfa-8205	453	42	�	�	PROPN
cjfa-8205	453	43	�	�	PROPN
cjfa-8205	453	44	�	�	PROPN
cjfa-8205	453	45	.	.	PUNCT
cjfa-8205	454	1	where	where	SCONJ
cjfa-8205	454	2	�	�	PROPN
cjfa-8205	454	3	�	�	PROPN
cjfa-8205	454	4	is	be	AUX
cjfa-8205	454	5	ith	ith	PROPN
cjfa-8205	454	6	input	input	NOUN
cjfa-8205	454	7	vector	vector	NOUN
cjfa-8205	454	8	;	;	PUNCT
cjfa-8205	454	9	�	�	PROPN
cjfa-8205	454	10	�	�	PROPN
cjfa-8205	454	11	is	be	AUX
cjfa-8205	454	12	weight	weight	NOUN
cjfa-8205	454	13	vector	vector	NOUN
cjfa-8205	454	14	connecting	connect	VERB
cjfa-8205	454	15	the	the	DET
cjfa-8205	454	16	jth	jth	PROPN
cjfa-8205	454	17	hidden	hide	VERB
cjfa-8205	454	18	node	node	NOUN
cjfa-8205	454	19	and	and	CCONJ
cjfa-8205	454	20	the	the	DET
cjfa-8205	454	21	input	input	NOUN
cjfa-8205	454	22	nodes	node	NOUN
cjfa-8205	454	23	;	;	PUNCT
cjfa-8205	454	24	�	�	PROPN
cjfa-8205	454	25	�	�	PROPN
cjfa-8205	454	26	is	be	AUX
cjfa-8205	454	27	weight	weight	NOUN
cjfa-8205	454	28	scalar	scalar	ADV
cjfa-8205	454	29	connecting	connect	VERB
cjfa-8205	454	30	jth	jth	PROPN
cjfa-8205	454	31	hidden	hide	VERB
cjfa-8205	454	32	node	node	NOUN
cjfa-8205	454	33	and	and	CCONJ
cjfa-8205	454	34	output	output	NOUN
cjfa-8205	454	35	node	node	NOUN
cjfa-8205	454	36	;	;	PUNCT
cjfa-8205	454	37	�	�	PROPN
cjfa-8205	454	38	�	�	PROPN
cjfa-8205	454	39	is	be	AUX
cjfa-8205	454	40	bias	bias	NOUN
cjfa-8205	454	41	parameter	parameter	NOUN
cjfa-8205	454	42	of	of	ADP
cjfa-8205	454	43	jth	jth	PROPN
cjfa-8205	454	44	hidden	hide	VERB
cjfa-8205	454	45	node	node	NOUN
cjfa-8205	454	46	.	.	PUNCT
cjfa-8205	455	1	in	in	ADP
cjfa-8205	455	2	this	this	DET
cjfa-8205	455	3	research	research	NOUN
cjfa-8205	455	4	linear	linear	NOUN
cjfa-8205	455	5	output	output	NOUN
cjfa-8205	455	6	nodes	node	NOUN
cjfa-8205	455	7	and	and	CCONJ
cjfa-8205	455	8	sigmoid	sigmoid	NOUN
cjfa-8205	455	9	hidden	hide	VERB
cjfa-8205	455	10	nodes	node	NOUN
cjfa-8205	455	11	are	be	AUX
cjfa-8205	455	12	used	use	VERB
cjfa-8205	455	13	.	.	PUNCT
cjfa-8205	456	1	above	above	ADP
cjfa-8205	456	2	equation	equation	NOUN
cjfa-8205	456	3	can	can	AUX
cjfa-8205	456	4	be	be	AUX
cjfa-8205	456	5	written	write	VERB
cjfa-8205	456	6	in	in	ADP
cjfa-8205	456	7	vector	vector	NOUN
cjfa-8205	456	8	form	form	NOUN
cjfa-8205	456	9	:	:	PUNCT
cjfa-8205	456	10	�	�	PROPN
cjfa-8205	456	11	=	=	SYM
cjfa-8205	456	12	�	�	PROPN
cjfa-8205	456	13	�	�	PROPN
cjfa-8205	456	14	.	.	PUNCT
cjfa-8205	456	15	where	where	SCONJ
cjfa-8205	456	16	�	�	PROPN
cjfa-8205	456	17	is	be	AUX
cjfa-8205	456	18	�	�	PROPN
cjfa-8205	456	19	�	�	PROPN
cjfa-8205	456	20	�	�	PROPN
cjfa-8205	456	21	hidden	hide	VERB
cjfa-8205	456	22	layer	layer	NOUN
cjfa-8205	456	23	output	output	NOUN
cjfa-8205	456	24	matrix	matrix	NOUN
cjfa-8205	456	25	and	and	CCONJ
cjfa-8205	456	26	�	�	PROPN
cjfa-8205	456	27	�	�	PROPN
cjfa-8205	456	28	�	�	PROPN
cjfa-8205	456	29	�	�	PROPN
cjfa-8205	456	30	=	=	SYM
cjfa-8205	456	31	�	�	PROPN
cjfa-8205	456	32	(	(	PUNCT
cjfa-8205	456	33	�	�	PROPN
cjfa-8205	456	34	�	�	PROPN
cjfa-8205	456	35	�	�	PROPN
cjfa-8205	456	36	�	�	PROPN
cjfa-8205	456	37	�	�	PROPN
cjfa-8205	456	38	�	�	PROPN
cjfa-8205	456	39	�	�	PROPN
cjfa-8205	456	40	)	)	PUNCT
cjfa-8205	456	41	.	.	PUNCT
cjfa-8205	457	1	the	the	DET
cjfa-8205	457	2	solution	solution	NOUN
cjfa-8205	457	3	of	of	ADP
cjfa-8205	457	4	applying	apply	VERB
cjfa-8205	457	5	elm	elm	NOUN
cjfa-8205	457	6	theory	theory	NOUN
cjfa-8205	457	7	is	be	AUX
cjfa-8205	457	8	simply	simply	ADV
cjfa-8205	457	9	estimated	estimate	VERB
cjfa-8205	457	10	as	as	ADP
cjfa-8205	457	11	:	:	PUNCT
cjfa-8205	457	12	�	�	PROPN
cjfa-8205	457	13	=	=	SYM
cjfa-8205	457	14	�	�	PROPN
cjfa-8205	457	15	�	�	PROPN
cjfa-8205	457	16	�	�	PROPN
cjfa-8205	457	17	�	�	PROPN
cjfa-8205	457	18	�	�	PROPN
cjfa-8205	457	19	where	where	SCONJ
cjfa-8205	457	20	�	�	PROPN
cjfa-8205	457	21	�	�	PROPN
cjfa-8205	457	22	=	=	SYM
cjfa-8205	457	23	(	(	PUNCT
cjfa-8205	457	24	�	�	PROPN
cjfa-8205	457	25	�	�	PROPN
cjfa-8205	457	26	�	�	PROPN
cjfa-8205	457	27	)	)	PUNCT
cjfa-8205	457	28	�	�	PROPN
cjfa-8205	457	29	�	�	PROPN
cjfa-8205	457	30	�	�	PROPN
cjfa-8205	457	31	�	�	PROPN
cjfa-8205	457	32	is	be	AUX
cjfa-8205	457	33	moore	moore	NOUN
cjfa-8205	457	34	–	–	PUNCT
cjfa-8205	457	35	penrose	penrose	NOUN
cjfa-8205	457	36	generalized	generalize	VERB
cjfa-8205	457	37	inverse	inverse	NOUN
cjfa-8205	457	38	(	(	PUNCT
cjfa-8205	457	39	pseudoinverse	pseudoinverse	NOUN
cjfa-8205	457	40	)	)	PUNCT
cjfa-8205	457	41	matrix	matrix	NOUN
cjfa-8205	457	42	.	.	PUNCT
cjfa-8205	458	1	a	a	DET
cjfa-8205	458	2	matlab	matlab	PROPN
cjfa-8205	458	3	implementation	implementation	NOUN
cjfa-8205	458	4	of	of	ADP
cjfa-8205	458	5	classical	classical	ADJ
cjfa-8205	458	6	elm	elm	NOUN
cjfa-8205	458	7	is	be	AUX
cjfa-8205	458	8	used	use	VERB
cjfa-8205	458	9	in	in	ADP
cjfa-8205	458	10	this	this	DET
cjfa-8205	458	11	research	research	NOUN
cjfa-8205	458	12	,	,	PUNCT
cjfa-8205	458	13	which	which	PRON
cjfa-8205	458	14	is	be	AUX
cjfa-8205	458	15	available	available	ADJ
cjfa-8205	458	16	at	at	ADP
cjfa-8205	458	17	webpage	webpage	NOUN
cjfa-8205	458	18	(	(	PUNCT
cjfa-8205	458	19	see	see	PROPN
cjfa-8205	458	20	huang	huang	PROPN
cjfa-8205	458	21	,	,	PUNCT
cjfa-8205	458	22	zhu	zhu	PROPN
cjfa-8205	458	23	&	&	CCONJ
cjfa-8205	458	24	siew	siew	PROPN
cjfa-8205	458	25	2006	2006	NUM
cjfa-8205	458	26	)	)	PUNCT
cjfa-8205	458	27	.	.	PUNCT
cjfa-8205	459	1	experimental	experimental	ADJ
cjfa-8205	459	2	data	datum	NOUN
cjfa-8205	459	3	in	in	ADP
cjfa-8205	459	4	this	this	DET
cjfa-8205	459	5	research	research	NOUN
cjfa-8205	459	6	8	8	NUM
cjfa-8205	459	7	different	different	ADJ
cjfa-8205	459	8	typical	typical	ADJ
cjfa-8205	459	9	atm	atm	ADJ
cjfa-8205	459	10	daily	daily	ADJ
cjfa-8205	459	11	withdrawal	withdrawal	NOUN
cjfa-8205	459	12	data	datum	NOUN
cjfa-8205	459	13	is	be	AUX
cjfa-8205	459	14	used	use	VERB
cjfa-8205	459	15	with	with	ADP
cjfa-8205	459	16	historical	historical	ADJ
cjfa-8205	459	17	period	period	NOUN
cjfa-8205	459	18	up	up	ADP
cjfa-8205	459	19	to	to	ADP
cjfa-8205	459	20	990	990	NUM
cjfa-8205	459	21	days	day	NOUN
cjfa-8205	459	22	.	.	PUNCT
cjfa-8205	460	1	those	those	DET
cjfa-8205	460	2	8	8	NUM
cjfa-8205	460	3	atms	atms	NOUN
cjfa-8205	460	4	were	be	AUX
cjfa-8205	460	5	selected	select	VERB
cjfa-8205	460	6	from	from	ADP
cjfa-8205	460	7	large	large	ADJ
cjfa-8205	460	8	database	database	NOUN
cjfa-8205	460	9	and	and	CCONJ
cjfa-8205	460	10	represent	represent	VERB
cjfa-8205	460	11	typical	typical	ADJ
cjfa-8205	460	12	cash	cash	NOUN
cjfa-8205	460	13	flow	flow	NOUN
cjfa-8205	460	14	factors	factor	NOUN
cjfa-8205	460	15	that	that	PRON
cjfa-8205	460	16	occur	occur	VERB
cjfa-8205	460	17	in	in	ADP
cjfa-8205	460	18	cash	cash	NOUN
cjfa-8205	460	19	flow	flow	NOUN
cjfa-8205	460	20	process	process	NOUN
cjfa-8205	460	21	.	.	PUNCT
cjfa-8205	461	1	further	far	ADV
cjfa-8205	461	2	a	a	DET
cjfa-8205	461	3	short	short	ADJ
cjfa-8205	461	4	explanation	explanation	NOUN
cjfa-8205	461	5	of	of	ADP
cjfa-8205	461	6	every	every	DET
cjfa-8205	461	7	atm	atm	NOUN
cjfa-8205	461	8	is	be	AUX
cjfa-8205	461	9	conduced	conduce	VERB
cjfa-8205	461	10	:	:	PUNCT
cjfa-8205	461	11			NOUN
cjfa-8205	461	12	atm	atm	ADJ
cjfa-8205	461	13	number	number	NOUN
cjfa-8205	461	14	1	1	NUM
cjfa-8205	461	15	contains	contain	VERB
cjfa-8205	461	16	cash	cash	NOUN
cjfa-8205	461	17	flow	flow	NOUN
cjfa-8205	461	18	with	with	ADP
cjfa-8205	461	19	strong	strong	ADJ
cjfa-8205	461	20	weekly	weekly	ADJ
cjfa-8205	461	21	seasonality	seasonality	NOUN
cjfa-8205	461	22	factor	factor	NOUN
cjfa-8205	461	23	;	;	PUNCT
cjfa-8205	461	24			NOUN
cjfa-8205	461	25	atm	atm	ADJ
cjfa-8205	461	26	number	number	NOUN
cjfa-8205	461	27	2	2	NUM
cjfa-8205	461	28	contains	contain	VERB
cjfa-8205	461	29	cash	cash	NOUN
cjfa-8205	461	30	flow	flow	NOUN
cjfa-8205	461	31	with	with	ADP
cjfa-8205	461	32	strong	strong	ADJ
cjfa-8205	461	33	yearly	yearly	ADJ
cjfa-8205	461	34	and	and	CCONJ
cjfa-8205	461	35	weekly	weekly	ADJ
cjfa-8205	461	36	seasonality	seasonality	NOUN
cjfa-8205	461	37	factors	factor	NOUN
cjfa-8205	461	38	,	,	PUNCT
cjfa-8205	461	39	when	when	SCONJ
cjfa-8205	461	40	yearly	yearly	ADJ
cjfa-8205	461	41	seasonality	seasonality	NOUN
cjfa-8205	461	42	is	be	AUX
cjfa-8205	461	43	smooth	smooth	ADJ
cjfa-8205	461	44	;	;	PUNCT
cjfa-8205	461	45			NOUN
cjfa-8205	461	46	atm	atm	ADJ
cjfa-8205	461	47	number	number	NOUN
cjfa-8205	461	48	3	3	NUM
cjfa-8205	461	49	contains	contain	VERB
cjfa-8205	461	50	cash	cash	NOUN
cjfa-8205	461	51	flow	flow	NOUN
cjfa-8205	461	52	with	with	ADP
cjfa-8205	461	53	strong	strong	ADJ
cjfa-8205	461	54	monthly	monthly	ADJ
cjfa-8205	461	55	seasonality	seasonality	NOUN
cjfa-8205	461	56	factor	factor	NOUN
cjfa-8205	461	57	;	;	PUNCT
cjfa-8205	461	58	the	the	DET
cjfa-8205	461	59	solution	solution	NOUN
cjfa-8205	461	60	of	of	ADP
cjfa-8205	461	61	applying	apply	VERB
cjfa-8205	461	62	elm	elm	NOUN
cjfa-8205	461	63	theory	theory	NOUN
cjfa-8205	461	64	is	be	AUX
cjfa-8205	461	65	simply	simply	ADV
cjfa-8205	461	66	estimated	estimate	VERB
cjfa-8205	461	67	as	as	ADP
cjfa-8205	461	68	:	:	PUNCT
cjfa-8205	461	69	–	–	PUNCT
cjfa-8205	461	70	extreme	extreme	ADJ
cjfa-8205	461	71	learning	learning	NOUN
cjfa-8205	461	72	machine	machine	NOUN
cjfa-8205	461	73	model	model	NOUN
cjfa-8205	461	74	.	.	PUNCT
cjfa-8205	462	1	extreme	extreme	ADJ
cjfa-8205	462	2	learning	learning	NOUN
cjfa-8205	462	3	machines	machine	NOUN
cjfa-8205	462	4	(	(	PUNCT
cjfa-8205	462	5	elm	elm	PROPN
cjfa-8205	462	6	)	)	PUNCT
cjfa-8205	462	7	(	(	PUNCT
cjfa-8205	462	8	huang	huang	PROPN
cjfa-8205	462	9	,	,	PUNCT
cjfa-8205	462	10	zhu	zhu	PROPN
cjfa-8205	462	11	&	&	CCONJ
cjfa-8205	462	12	siew	siew	PROPN
cjfa-8205	462	13	2006	2006	NUM
cjfa-8205	462	14	)	)	PUNCT
cjfa-8205	462	15	have	have	VERB
cjfa-8205	462	16	the	the	DET
cjfa-8205	462	17	same	same	ADJ
cjfa-8205	462	18	architecture	architecture	NOUN
cjfa-8205	462	19	as	as	ADP
cjfa-8205	462	20	single	single	ADJ
cjfa-8205	462	21	hidden	hide	VERB
cjfa-8205	462	22	layer	layer	NOUN
cjfa-8205	462	23	feed	feed	NOUN
cjfa-8205	462	24	-	-	PUNCT
cjfa-8205	462	25	forward	forward	ADV
cjfa-8205	462	26	neural	neural	ADJ
cjfa-8205	462	27	networks	network	NOUN
cjfa-8205	462	28	.	.	PUNCT
cjfa-8205	463	1	differently	differently	ADV
cjfa-8205	463	2	from	from	ADP
cjfa-8205	463	3	conventional	conventional	ADJ
cjfa-8205	463	4	neural	neural	ADJ
cjfa-8205	463	5	network	network	NOUN
cjfa-8205	463	6	achitectures	achitecture	NOUN
cjfa-8205	463	7	,	,	PUNCT
cjfa-8205	463	8	elm	elm	NOUN
cjfa-8205	463	9	does	do	AUX
cjfa-8205	463	10	n’t	not	PART
cjfa-8205	463	11	require	require	VERB
cjfa-8205	463	12	backpropagation	backpropagation	NOUN
cjfa-8205	463	13	for	for	ADP
cjfa-8205	463	14	parameter	parameter	NOUN
cjfa-8205	463	15	tuning	tuning	NOUN
cjfa-8205	463	16	.	.	PUNCT
cjfa-8205	464	1	instead	instead	ADV
cjfa-8205	464	2	,	,	PUNCT
cjfa-8205	464	3	hidden	hide	VERB
cjfa-8205	464	4	node	node	ADJ
cjfa-8205	464	5	weights	weight	NOUN
cjfa-8205	464	6	are	be	AUX
cjfa-8205	464	7	chosen	choose	VERB
cjfa-8205	464	8	randomly	randomly	ADV
cjfa-8205	464	9	and	and	CCONJ
cjfa-8205	464	10	output	output	NOUN
cjfa-8205	464	11	weights	weight	NOUN
cjfa-8205	464	12	are	be	AUX
cjfa-8205	464	13	determined	determine	VERB
cjfa-8205	464	14	analytically	analytically	ADV
cjfa-8205	464	15	.	.	PUNCT
cjfa-8205	465	1	main	main	ADJ
cjfa-8205	465	2	advantage	advantage	NOUN
cjfa-8205	465	3	of	of	ADP
cjfa-8205	465	4	this	this	DET
cjfa-8205	465	5	type	type	NOUN
cjfa-8205	465	6	of	of	ADP
cjfa-8205	465	7	learning	learning	NOUN
cjfa-8205	465	8	is	be	AUX
cjfa-8205	465	9	speed	speed	NOUN
cjfa-8205	465	10	,	,	PUNCT
cjfa-8205	465	11	which	which	PRON
cjfa-8205	465	12	is	be	AUX
cjfa-8205	465	13	many	many	ADJ
cjfa-8205	465	14	times	time	NOUN
cjfa-8205	465	15	faster	fast	ADV
cjfa-8205	465	16	than	than	ADP
cjfa-8205	465	17	conventional	conventional	ADJ
cjfa-8205	465	18	iterative	iterative	NOUN
cjfa-8205	465	19	tuning	tuning	NOUN
cjfa-8205	465	20	(	(	PUNCT
cjfa-8205	465	21	such	such	ADJ
cjfa-8205	465	22	as	as	ADP
cjfa-8205	465	23	backpropagation	backpropagation	NOUN
cjfa-8205	465	24	)	)	PUNCT
cjfa-8205	465	25	.	.	PUNCT
cjfa-8205	466	1	given	give	VERB
cjfa-8205	466	2	n	n	PRON
cjfa-8205	466	3	number	number	NOUN
cjfa-8205	466	4	of	of	ADP
cjfa-8205	466	5	observations	observation	NOUN
cjfa-8205	466	6	(	(	PUNCT
cjfa-8205	466	7	xi	xi	PROPN
cjfa-8205	466	8	,	,	PUNCT
cjfa-8205	466	9	yi	yi	PROPN
cjfa-8205	466	10	)	)	PUNCT
cjfa-8205	466	11	,	,	PUNCT
cjfa-8205	466	12	single	single	ADJ
cjfa-8205	466	13	layer	layer	NOUN
cjfa-8205	466	14	neural	neural	ADJ
cjfa-8205	466	15	network	network	NOUN
cjfa-8205	466	16	output	output	NOUN
cjfa-8205	466	17	with	with	ADP
cjfa-8205	466	18	m	m	ADP
cjfa-8205	466	19	hidden	hide	VERB
cjfa-8205	466	20	nodes	node	NOUN
cjfa-8205	466	21	is	be	AUX
cjfa-8205	466	22	modeled	model	VERB
cjfa-8205	466	23	as	as	ADP
cjfa-8205	466	24	:	:	PUNCT
cjfa-8205	466	25	�	�	X
cjfa-8205	466	26	�	�	PROPN
cjfa-8205	466	27	=	=	SYM
cjfa-8205	466	28	∑	∑	PUNCT
cjfa-8205	466	29	�	�	PROPN
cjfa-8205	466	30	�	�	PROPN
cjfa-8205	466	31	�	�	PROPN
cjfa-8205	466	32	(	(	PUNCT
cjfa-8205	466	33	�	�	PROPN
cjfa-8205	466	34	�	�	PROPN
cjfa-8205	466	35	�	�	PROPN
cjfa-8205	466	36	�	�	PROPN
cjfa-8205	466	37	�	�	PROPN
cjfa-8205	466	38	�	�	PROPN
cjfa-8205	466	39	�	�	PROPN
cjfa-8205	466	40	)	)	PUNCT
cjfa-8205	466	41	�	�	PROPN
cjfa-8205	466	42	�	�	PROPN
cjfa-8205	466	43	�	�	PROPN
cjfa-8205	466	44	�	�	PROPN
cjfa-8205	466	45	.	.	PUNCT
cjfa-8205	467	1	where	where	SCONJ
cjfa-8205	467	2	�	�	PROPN
cjfa-8205	467	3	�	�	PROPN
cjfa-8205	467	4	is	be	AUX
cjfa-8205	467	5	ith	ith	PROPN
cjfa-8205	467	6	input	input	NOUN
cjfa-8205	467	7	vector	vector	NOUN
cjfa-8205	467	8	;	;	PUNCT
cjfa-8205	467	9	�	�	PROPN
cjfa-8205	467	10	�	�	PROPN
cjfa-8205	467	11	is	be	AUX
cjfa-8205	467	12	weight	weight	NOUN
cjfa-8205	467	13	vector	vector	NOUN
cjfa-8205	467	14	connecting	connect	VERB
cjfa-8205	467	15	the	the	DET
cjfa-8205	467	16	jth	jth	PROPN
cjfa-8205	467	17	hidden	hide	VERB
cjfa-8205	467	18	node	node	NOUN
cjfa-8205	467	19	and	and	CCONJ
cjfa-8205	467	20	the	the	DET
cjfa-8205	467	21	input	input	NOUN
cjfa-8205	467	22	nodes	node	NOUN
cjfa-8205	467	23	;	;	PUNCT
cjfa-8205	467	24	�	�	PROPN
cjfa-8205	467	25	�	�	PROPN
cjfa-8205	467	26	is	be	AUX
cjfa-8205	467	27	weight	weight	NOUN
cjfa-8205	467	28	scalar	scalar	ADV
cjfa-8205	467	29	connecting	connect	VERB
cjfa-8205	467	30	jth	jth	PROPN
cjfa-8205	467	31	hidden	hide	VERB
cjfa-8205	467	32	node	node	NOUN
cjfa-8205	467	33	and	and	CCONJ
cjfa-8205	467	34	output	output	NOUN
cjfa-8205	467	35	node	node	NOUN
cjfa-8205	467	36	;	;	PUNCT
cjfa-8205	467	37	�	�	PROPN
cjfa-8205	467	38	�	�	PROPN
cjfa-8205	467	39	is	be	AUX
cjfa-8205	467	40	bias	bias	NOUN
cjfa-8205	467	41	parameter	parameter	NOUN
cjfa-8205	467	42	of	of	ADP
cjfa-8205	467	43	jth	jth	PROPN
cjfa-8205	467	44	hidden	hide	VERB
cjfa-8205	467	45	node	node	NOUN
cjfa-8205	467	46	.	.	PUNCT
cjfa-8205	468	1	in	in	ADP
cjfa-8205	468	2	this	this	DET
cjfa-8205	468	3	research	research	NOUN
cjfa-8205	468	4	linear	linear	NOUN
cjfa-8205	468	5	output	output	NOUN
cjfa-8205	468	6	nodes	node	NOUN
cjfa-8205	468	7	and	and	CCONJ
cjfa-8205	468	8	sigmoid	sigmoid	NOUN
cjfa-8205	468	9	hidden	hide	VERB
cjfa-8205	468	10	nodes	node	NOUN
cjfa-8205	468	11	are	be	AUX
cjfa-8205	468	12	used	use	VERB
cjfa-8205	468	13	.	.	PUNCT
cjfa-8205	469	1	above	above	ADP
cjfa-8205	469	2	equation	equation	NOUN
cjfa-8205	469	3	can	can	AUX
cjfa-8205	469	4	be	be	AUX
cjfa-8205	469	5	written	write	VERB
cjfa-8205	469	6	in	in	ADP
cjfa-8205	469	7	vector	vector	NOUN
cjfa-8205	469	8	form	form	NOUN
cjfa-8205	469	9	:	:	PUNCT
cjfa-8205	469	10	�	�	PROPN
cjfa-8205	469	11	=	=	SYM
cjfa-8205	469	12	�	�	PROPN
cjfa-8205	469	13	�	�	PROPN
cjfa-8205	469	14	.	.	PUNCT
cjfa-8205	469	15	where	where	SCONJ
cjfa-8205	469	16	�	�	PROPN
cjfa-8205	469	17	is	be	AUX
cjfa-8205	469	18	�	�	PROPN
cjfa-8205	469	19	�	�	PROPN
cjfa-8205	469	20	�	�	PROPN
cjfa-8205	469	21	hidden	hide	VERB
cjfa-8205	469	22	layer	layer	NOUN
cjfa-8205	469	23	output	output	NOUN
cjfa-8205	469	24	matrix	matrix	NOUN
cjfa-8205	469	25	and	and	CCONJ
cjfa-8205	469	26	�	�	PROPN
cjfa-8205	469	27	�	�	PROPN
cjfa-8205	469	28	�	�	PROPN
cjfa-8205	469	29	�	�	PROPN
cjfa-8205	469	30	=	=	SYM
cjfa-8205	469	31	�	�	PROPN
cjfa-8205	469	32	(	(	PUNCT
cjfa-8205	469	33	�	�	PROPN
cjfa-8205	469	34	�	�	PROPN
cjfa-8205	469	35	�	�	PROPN
cjfa-8205	469	36	�	�	PROPN
cjfa-8205	469	37	�	�	PROPN
cjfa-8205	469	38	�	�	PROPN
cjfa-8205	469	39	�	�	PROPN
cjfa-8205	469	40	)	)	PUNCT
cjfa-8205	469	41	.	.	PUNCT
cjfa-8205	470	1	the	the	DET
cjfa-8205	470	2	solution	solution	NOUN
cjfa-8205	470	3	of	of	ADP
cjfa-8205	470	4	applying	apply	VERB
cjfa-8205	470	5	elm	elm	NOUN
cjfa-8205	470	6	theory	theory	NOUN
cjfa-8205	470	7	is	be	AUX
cjfa-8205	470	8	simply	simply	ADV
cjfa-8205	470	9	estimated	estimate	VERB
cjfa-8205	470	10	as	as	ADP
cjfa-8205	470	11	:	:	PUNCT
cjfa-8205	470	12	�	�	PROPN
cjfa-8205	470	13	=	=	SYM
cjfa-8205	470	14	�	�	PROPN
cjfa-8205	470	15	�	�	PROPN
cjfa-8205	470	16	�	�	PROPN
cjfa-8205	470	17	�	�	PROPN
cjfa-8205	470	18	�	�	PROPN
cjfa-8205	470	19	where	where	SCONJ
cjfa-8205	470	20	�	�	PROPN
cjfa-8205	470	21	�	�	PROPN
cjfa-8205	470	22	=	=	SYM
cjfa-8205	470	23	(	(	PUNCT
cjfa-8205	470	24	�	�	PROPN
cjfa-8205	470	25	�	�	PROPN
cjfa-8205	470	26	�	�	PROPN
cjfa-8205	470	27	)	)	PUNCT
cjfa-8205	470	28	�	�	PROPN
cjfa-8205	470	29	�	�	PROPN
cjfa-8205	470	30	�	�	PROPN
cjfa-8205	470	31	�	�	PROPN
cjfa-8205	470	32	is	be	AUX
cjfa-8205	470	33	moore	moore	NOUN
cjfa-8205	470	34	–	–	PUNCT
cjfa-8205	470	35	penrose	penrose	NOUN
cjfa-8205	470	36	generalized	generalize	VERB
cjfa-8205	470	37	inverse	inverse	NOUN
cjfa-8205	470	38	(	(	PUNCT
cjfa-8205	470	39	pseudoinverse	pseudoinverse	NOUN
cjfa-8205	470	40	)	)	PUNCT
cjfa-8205	470	41	matrix	matrix	NOUN
cjfa-8205	470	42	.	.	PUNCT
cjfa-8205	471	1	a	a	DET
cjfa-8205	471	2	matlab	matlab	PROPN
cjfa-8205	471	3	implementation	implementation	NOUN
cjfa-8205	471	4	of	of	ADP
cjfa-8205	471	5	classical	classical	ADJ
cjfa-8205	471	6	elm	elm	NOUN
cjfa-8205	471	7	is	be	AUX
cjfa-8205	471	8	used	use	VERB
cjfa-8205	471	9	in	in	ADP
cjfa-8205	471	10	this	this	DET
cjfa-8205	471	11	research	research	NOUN
cjfa-8205	471	12	,	,	PUNCT
cjfa-8205	471	13	which	which	PRON
cjfa-8205	471	14	is	be	AUX
cjfa-8205	471	15	available	available	ADJ
cjfa-8205	471	16	at	at	ADP
cjfa-8205	471	17	webpage	webpage	NOUN
cjfa-8205	471	18	(	(	PUNCT
cjfa-8205	471	19	see	see	PROPN
cjfa-8205	471	20	huang	huang	PROPN
cjfa-8205	471	21	,	,	PUNCT
cjfa-8205	471	22	zhu	zhu	PROPN
cjfa-8205	471	23	&	&	CCONJ
cjfa-8205	471	24	siew	siew	PROPN
cjfa-8205	471	25	2006	2006	NUM
cjfa-8205	471	26	)	)	PUNCT
cjfa-8205	471	27	.	.	PUNCT
cjfa-8205	472	1	experimental	experimental	ADJ
cjfa-8205	472	2	data	datum	NOUN
cjfa-8205	472	3	in	in	ADP
cjfa-8205	472	4	this	this	DET
cjfa-8205	472	5	research	research	NOUN
cjfa-8205	472	6	8	8	NUM
cjfa-8205	472	7	different	different	ADJ
cjfa-8205	472	8	typical	typical	ADJ
cjfa-8205	472	9	atm	atm	ADJ
cjfa-8205	472	10	daily	daily	ADJ
cjfa-8205	472	11	withdrawal	withdrawal	NOUN
cjfa-8205	472	12	data	datum	NOUN
cjfa-8205	472	13	is	be	AUX
cjfa-8205	472	14	used	use	VERB
cjfa-8205	472	15	with	with	ADP
cjfa-8205	472	16	historical	historical	ADJ
cjfa-8205	472	17	period	period	NOUN
cjfa-8205	472	18	up	up	ADP
cjfa-8205	472	19	to	to	ADP
cjfa-8205	472	20	990	990	NUM
cjfa-8205	472	21	days	day	NOUN
cjfa-8205	472	22	.	.	PUNCT
cjfa-8205	473	1	those	those	DET
cjfa-8205	473	2	8	8	NUM
cjfa-8205	473	3	atms	atms	NOUN
cjfa-8205	473	4	were	be	AUX
cjfa-8205	473	5	selected	select	VERB
cjfa-8205	473	6	from	from	ADP
cjfa-8205	473	7	large	large	ADJ
cjfa-8205	473	8	database	database	NOUN
cjfa-8205	473	9	and	and	CCONJ
cjfa-8205	473	10	represent	represent	VERB
cjfa-8205	473	11	typical	typical	ADJ
cjfa-8205	473	12	cash	cash	NOUN
cjfa-8205	473	13	flow	flow	NOUN
cjfa-8205	473	14	factors	factor	NOUN
cjfa-8205	473	15	that	that	PRON
cjfa-8205	473	16	occur	occur	VERB
cjfa-8205	473	17	in	in	ADP
cjfa-8205	473	18	cash	cash	NOUN
cjfa-8205	473	19	flow	flow	NOUN
cjfa-8205	473	20	process	process	NOUN
cjfa-8205	473	21	.	.	PUNCT
cjfa-8205	474	1	further	far	ADV
cjfa-8205	474	2	a	a	DET
cjfa-8205	474	3	short	short	ADJ
cjfa-8205	474	4	explanation	explanation	NOUN
cjfa-8205	474	5	of	of	ADP
cjfa-8205	474	6	every	every	DET
cjfa-8205	474	7	atm	atm	NOUN
cjfa-8205	474	8	is	be	AUX
cjfa-8205	474	9	conduced	conduce	VERB
cjfa-8205	474	10	:	:	PUNCT
cjfa-8205	474	11			NOUN
cjfa-8205	474	12	atm	atm	ADJ
cjfa-8205	474	13	number	number	NOUN
cjfa-8205	474	14	1	1	NUM
cjfa-8205	474	15	contains	contain	VERB
cjfa-8205	474	16	cash	cash	NOUN
cjfa-8205	474	17	flow	flow	NOUN
cjfa-8205	474	18	with	with	ADP
cjfa-8205	474	19	strong	strong	ADJ
cjfa-8205	474	20	weekly	weekly	ADJ
cjfa-8205	474	21	seasonality	seasonality	NOUN
cjfa-8205	474	22	factor	factor	NOUN
cjfa-8205	474	23	;	;	PUNCT
cjfa-8205	474	24			NOUN
cjfa-8205	474	25	atm	atm	ADJ
cjfa-8205	474	26	number	number	NOUN
cjfa-8205	474	27	2	2	NUM
cjfa-8205	474	28	contains	contain	VERB
cjfa-8205	474	29	cash	cash	NOUN
cjfa-8205	474	30	flow	flow	NOUN
cjfa-8205	474	31	with	with	ADP
cjfa-8205	474	32	strong	strong	ADJ
cjfa-8205	474	33	yearly	yearly	ADJ
cjfa-8205	474	34	and	and	CCONJ
cjfa-8205	474	35	weekly	weekly	ADJ
cjfa-8205	474	36	seasonality	seasonality	NOUN
cjfa-8205	474	37	factors	factor	NOUN
cjfa-8205	474	38	,	,	PUNCT
cjfa-8205	474	39	when	when	SCONJ
cjfa-8205	474	40	yearly	yearly	ADJ
cjfa-8205	474	41	seasonality	seasonality	NOUN
cjfa-8205	474	42	is	be	AUX
cjfa-8205	474	43	smooth	smooth	ADJ
cjfa-8205	474	44	;	;	PUNCT
cjfa-8205	474	45			NOUN
cjfa-8205	474	46	atm	atm	ADJ
cjfa-8205	474	47	number	number	NOUN
cjfa-8205	474	48	3	3	NUM
cjfa-8205	474	49	contains	contain	VERB
cjfa-8205	474	50	cash	cash	NOUN
cjfa-8205	474	51	flow	flow	NOUN
cjfa-8205	474	52	with	with	ADP
cjfa-8205	474	53	strong	strong	ADJ
cjfa-8205	474	54	monthly	monthly	ADJ
cjfa-8205	474	55	seasonality	seasonality	NOUN
cjfa-8205	474	56	factor	factor	NOUN
cjfa-8205	474	57	;	;	PUNCT
cjfa-8205	474	58	where	where	SCONJ
cjfa-8205	474	59	–	–	PUNCT
cjfa-8205	474	60	extreme	extreme	ADJ
cjfa-8205	474	61	learning	learning	NOUN
cjfa-8205	474	62	machine	machine	NOUN
cjfa-8205	474	63	model	model	NOUN
cjfa-8205	474	64	.	.	PUNCT
cjfa-8205	475	1	extreme	extreme	ADJ
cjfa-8205	475	2	learning	learning	NOUN
cjfa-8205	475	3	machines	machine	NOUN
cjfa-8205	475	4	(	(	PUNCT
cjfa-8205	475	5	elm	elm	PROPN
cjfa-8205	475	6	)	)	PUNCT
cjfa-8205	475	7	(	(	PUNCT
cjfa-8205	475	8	huang	huang	PROPN
cjfa-8205	475	9	,	,	PUNCT
cjfa-8205	475	10	zhu	zhu	PROPN
cjfa-8205	475	11	&	&	CCONJ
cjfa-8205	475	12	siew	siew	PROPN
cjfa-8205	475	13	2006	2006	NUM
cjfa-8205	475	14	)	)	PUNCT
cjfa-8205	475	15	have	have	VERB
cjfa-8205	475	16	the	the	DET
cjfa-8205	475	17	same	same	ADJ
cjfa-8205	475	18	architecture	architecture	NOUN
cjfa-8205	475	19	as	as	ADP
cjfa-8205	475	20	single	single	ADJ
cjfa-8205	475	21	hidden	hide	VERB
cjfa-8205	475	22	layer	layer	NOUN
cjfa-8205	475	23	feed	feed	NOUN
cjfa-8205	475	24	-	-	PUNCT
cjfa-8205	475	25	forward	forward	ADV
cjfa-8205	475	26	neural	neural	ADJ
cjfa-8205	475	27	networks	network	NOUN
cjfa-8205	475	28	.	.	PUNCT
cjfa-8205	476	1	differently	differently	ADV
cjfa-8205	476	2	from	from	ADP
cjfa-8205	476	3	conventional	conventional	ADJ
cjfa-8205	476	4	neural	neural	ADJ
cjfa-8205	476	5	network	network	NOUN
cjfa-8205	476	6	achitectures	achitecture	NOUN
cjfa-8205	476	7	,	,	PUNCT
cjfa-8205	476	8	elm	elm	NOUN
cjfa-8205	476	9	does	do	AUX
cjfa-8205	476	10	n’t	not	PART
cjfa-8205	476	11	require	require	VERB
cjfa-8205	476	12	backpropagation	backpropagation	NOUN
cjfa-8205	476	13	for	for	ADP
cjfa-8205	476	14	parameter	parameter	NOUN
cjfa-8205	476	15	tuning	tuning	NOUN
cjfa-8205	476	16	.	.	PUNCT
cjfa-8205	477	1	instead	instead	ADV
cjfa-8205	477	2	,	,	PUNCT
cjfa-8205	477	3	hidden	hide	VERB
cjfa-8205	477	4	node	node	ADJ
cjfa-8205	477	5	weights	weight	NOUN
cjfa-8205	477	6	are	be	AUX
cjfa-8205	477	7	chosen	choose	VERB
cjfa-8205	477	8	randomly	randomly	ADV
cjfa-8205	477	9	and	and	CCONJ
cjfa-8205	477	10	output	output	NOUN
cjfa-8205	477	11	weights	weight	NOUN
cjfa-8205	477	12	are	be	AUX
cjfa-8205	477	13	determined	determine	VERB
cjfa-8205	477	14	analytically	analytically	ADV
cjfa-8205	477	15	.	.	PUNCT
cjfa-8205	478	1	main	main	ADJ
cjfa-8205	478	2	advantage	advantage	NOUN
cjfa-8205	478	3	of	of	ADP
cjfa-8205	478	4	this	this	DET
cjfa-8205	478	5	type	type	NOUN
cjfa-8205	478	6	of	of	ADP
cjfa-8205	478	7	learning	learning	NOUN
cjfa-8205	478	8	is	be	AUX
cjfa-8205	478	9	speed	speed	NOUN
cjfa-8205	478	10	,	,	PUNCT
cjfa-8205	478	11	which	which	PRON
cjfa-8205	478	12	is	be	AUX
cjfa-8205	478	13	many	many	ADJ
cjfa-8205	478	14	times	time	NOUN
cjfa-8205	478	15	faster	fast	ADV
cjfa-8205	478	16	than	than	ADP
cjfa-8205	478	17	conventional	conventional	ADJ
cjfa-8205	478	18	iterative	iterative	NOUN
cjfa-8205	478	19	tuning	tuning	NOUN
cjfa-8205	478	20	(	(	PUNCT
cjfa-8205	478	21	such	such	ADJ
cjfa-8205	478	22	as	as	ADP
cjfa-8205	478	23	backpropagation	backpropagation	NOUN
cjfa-8205	478	24	)	)	PUNCT
cjfa-8205	478	25	.	.	PUNCT
cjfa-8205	479	1	given	give	VERB
cjfa-8205	479	2	n	n	PRON
cjfa-8205	479	3	number	number	NOUN
cjfa-8205	479	4	of	of	ADP
cjfa-8205	479	5	observations	observation	NOUN
cjfa-8205	479	6	(	(	PUNCT
cjfa-8205	479	7	xi	xi	PROPN
cjfa-8205	479	8	,	,	PUNCT
cjfa-8205	479	9	yi	yi	PROPN
cjfa-8205	479	10	)	)	PUNCT
cjfa-8205	479	11	,	,	PUNCT
cjfa-8205	479	12	single	single	ADJ
cjfa-8205	479	13	layer	layer	NOUN
cjfa-8205	479	14	neural	neural	ADJ
cjfa-8205	479	15	network	network	NOUN
cjfa-8205	479	16	output	output	NOUN
cjfa-8205	479	17	with	with	ADP
cjfa-8205	479	18	m	m	ADP
cjfa-8205	479	19	hidden	hide	VERB
cjfa-8205	479	20	nodes	node	NOUN
cjfa-8205	479	21	is	be	AUX
cjfa-8205	479	22	modeled	model	VERB
cjfa-8205	479	23	as	as	ADP
cjfa-8205	479	24	:	:	PUNCT
cjfa-8205	479	25	�	�	X
cjfa-8205	479	26	�	�	PROPN
cjfa-8205	479	27	=	=	SYM
cjfa-8205	479	28	∑	∑	PUNCT
cjfa-8205	479	29	�	�	PROPN
cjfa-8205	479	30	�	�	PROPN
cjfa-8205	479	31	�	�	PROPN
cjfa-8205	479	32	(	(	PUNCT
cjfa-8205	479	33	�	�	PROPN
cjfa-8205	479	34	�	�	PROPN
cjfa-8205	479	35	�	�	PROPN
cjfa-8205	479	36	�	�	PROPN
cjfa-8205	479	37	�	�	PROPN
cjfa-8205	479	38	�	�	PROPN
cjfa-8205	479	39	�	�	PROPN
cjfa-8205	479	40	)	)	PUNCT
cjfa-8205	479	41	�	�	PROPN
cjfa-8205	479	42	�	�	PROPN
cjfa-8205	479	43	�	�	PROPN
cjfa-8205	479	44	�	�	PROPN
cjfa-8205	479	45	.	.	PUNCT
cjfa-8205	480	1	where	where	SCONJ
cjfa-8205	480	2	�	�	PROPN
cjfa-8205	480	3	�	�	PROPN
cjfa-8205	480	4	is	be	AUX
cjfa-8205	480	5	ith	ith	PROPN
cjfa-8205	480	6	input	input	NOUN
cjfa-8205	480	7	vector	vector	NOUN
cjfa-8205	480	8	;	;	PUNCT
cjfa-8205	480	9	�	�	PROPN
cjfa-8205	480	10	�	�	PROPN
cjfa-8205	480	11	is	be	AUX
cjfa-8205	480	12	weight	weight	NOUN
cjfa-8205	480	13	vector	vector	NOUN
cjfa-8205	480	14	connecting	connect	VERB
cjfa-8205	480	15	the	the	DET
cjfa-8205	480	16	jth	jth	PROPN
cjfa-8205	480	17	hidden	hide	VERB
cjfa-8205	480	18	node	node	NOUN
cjfa-8205	480	19	and	and	CCONJ
cjfa-8205	480	20	the	the	DET
cjfa-8205	480	21	input	input	NOUN
cjfa-8205	480	22	nodes	node	NOUN
cjfa-8205	480	23	;	;	PUNCT
cjfa-8205	480	24	�	�	PROPN
cjfa-8205	480	25	�	�	PROPN
cjfa-8205	480	26	is	be	AUX
cjfa-8205	480	27	weight	weight	NOUN
cjfa-8205	480	28	scalar	scalar	ADV
cjfa-8205	480	29	connecting	connect	VERB
cjfa-8205	480	30	jth	jth	PROPN
cjfa-8205	480	31	hidden	hide	VERB
cjfa-8205	480	32	node	node	NOUN
cjfa-8205	480	33	and	and	CCONJ
cjfa-8205	480	34	output	output	NOUN
cjfa-8205	480	35	node	node	NOUN
cjfa-8205	480	36	;	;	PUNCT
cjfa-8205	480	37	�	�	PROPN
cjfa-8205	480	38	�	�	PROPN
cjfa-8205	480	39	is	be	AUX
cjfa-8205	480	40	bias	bias	NOUN
cjfa-8205	480	41	parameter	parameter	NOUN
cjfa-8205	480	42	of	of	ADP
cjfa-8205	480	43	jth	jth	PROPN
cjfa-8205	480	44	hidden	hide	VERB
cjfa-8205	480	45	node	node	NOUN
cjfa-8205	480	46	.	.	PUNCT
cjfa-8205	481	1	in	in	ADP
cjfa-8205	481	2	this	this	DET
cjfa-8205	481	3	research	research	NOUN
cjfa-8205	481	4	linear	linear	NOUN
cjfa-8205	481	5	output	output	NOUN
cjfa-8205	481	6	nodes	node	NOUN
cjfa-8205	481	7	and	and	CCONJ
cjfa-8205	481	8	sigmoid	sigmoid	NOUN
cjfa-8205	481	9	hidden	hide	VERB
cjfa-8205	481	10	nodes	node	NOUN
cjfa-8205	481	11	are	be	AUX
cjfa-8205	481	12	used	use	VERB
cjfa-8205	481	13	.	.	PUNCT
cjfa-8205	482	1	above	above	ADP
cjfa-8205	482	2	equation	equation	NOUN
cjfa-8205	482	3	can	can	AUX
cjfa-8205	482	4	be	be	AUX
cjfa-8205	482	5	written	write	VERB
cjfa-8205	482	6	in	in	ADP
cjfa-8205	482	7	vector	vector	NOUN
cjfa-8205	482	8	form	form	NOUN
cjfa-8205	482	9	:	:	PUNCT
cjfa-8205	482	10	�	�	PROPN
cjfa-8205	482	11	=	=	SYM
cjfa-8205	482	12	�	�	PROPN
cjfa-8205	482	13	�	�	PROPN
cjfa-8205	482	14	.	.	PUNCT
cjfa-8205	482	15	where	where	SCONJ
cjfa-8205	482	16	�	�	PROPN
cjfa-8205	482	17	is	be	AUX
cjfa-8205	482	18	�	�	PROPN
cjfa-8205	482	19	�	�	PROPN
cjfa-8205	482	20	�	�	PROPN
cjfa-8205	482	21	hidden	hide	VERB
cjfa-8205	482	22	layer	layer	NOUN
cjfa-8205	482	23	output	output	NOUN
cjfa-8205	482	24	matrix	matrix	NOUN
cjfa-8205	482	25	and	and	CCONJ
cjfa-8205	482	26	�	�	PROPN
cjfa-8205	482	27	�	�	PROPN
cjfa-8205	482	28	�	�	PROPN
cjfa-8205	482	29	�	�	PROPN
cjfa-8205	482	30	=	=	SYM
cjfa-8205	482	31	�	�	PROPN
cjfa-8205	482	32	(	(	PUNCT
cjfa-8205	482	33	�	�	PROPN
cjfa-8205	482	34	�	�	PROPN
cjfa-8205	482	35	�	�	PROPN
cjfa-8205	482	36	�	�	PROPN
cjfa-8205	482	37	�	�	PROPN
cjfa-8205	482	38	�	�	PROPN
cjfa-8205	482	39	�	�	PROPN
cjfa-8205	482	40	)	)	PUNCT
cjfa-8205	482	41	.	.	PUNCT
cjfa-8205	483	1	the	the	DET
cjfa-8205	483	2	solution	solution	NOUN
cjfa-8205	483	3	of	of	ADP
cjfa-8205	483	4	applying	apply	VERB
cjfa-8205	483	5	elm	elm	NOUN
cjfa-8205	483	6	theory	theory	NOUN
cjfa-8205	483	7	is	be	AUX
cjfa-8205	483	8	simply	simply	ADV
cjfa-8205	483	9	estimated	estimate	VERB
cjfa-8205	483	10	as	as	ADP
cjfa-8205	483	11	:	:	PUNCT
cjfa-8205	483	12	�	�	PROPN
cjfa-8205	483	13	=	=	SYM
cjfa-8205	483	14	�	�	PROPN
cjfa-8205	483	15	�	�	PROPN
cjfa-8205	483	16	�	�	PROPN
cjfa-8205	483	17	�	�	PROPN
cjfa-8205	483	18	�	�	PROPN
cjfa-8205	483	19	where	where	SCONJ
cjfa-8205	483	20	�	�	PROPN
cjfa-8205	483	21	�	�	PROPN
cjfa-8205	483	22	=	=	SYM
cjfa-8205	483	23	(	(	PUNCT
cjfa-8205	483	24	�	�	PROPN
cjfa-8205	483	25	�	�	PROPN
cjfa-8205	483	26	�	�	PROPN
cjfa-8205	483	27	)	)	PUNCT
cjfa-8205	483	28	�	�	PROPN
cjfa-8205	483	29	�	�	PROPN
cjfa-8205	483	30	�	�	PROPN
cjfa-8205	483	31	�	�	PROPN
cjfa-8205	483	32	is	be	AUX
cjfa-8205	483	33	moore	moore	NOUN
cjfa-8205	483	34	–	–	PUNCT
cjfa-8205	483	35	penrose	penrose	NOUN
cjfa-8205	483	36	generalized	generalize	VERB
cjfa-8205	483	37	inverse	inverse	NOUN
cjfa-8205	483	38	(	(	PUNCT
cjfa-8205	483	39	pseudoinverse	pseudoinverse	NOUN
cjfa-8205	483	40	)	)	PUNCT
cjfa-8205	483	41	matrix	matrix	NOUN
cjfa-8205	483	42	.	.	PUNCT
cjfa-8205	484	1	a	a	DET
cjfa-8205	484	2	matlab	matlab	PROPN
cjfa-8205	484	3	implementation	implementation	NOUN
cjfa-8205	484	4	of	of	ADP
cjfa-8205	484	5	classical	classical	ADJ
cjfa-8205	484	6	elm	elm	NOUN
cjfa-8205	484	7	is	be	AUX
cjfa-8205	484	8	used	use	VERB
cjfa-8205	484	9	in	in	ADP
cjfa-8205	484	10	this	this	DET
cjfa-8205	484	11	research	research	NOUN
cjfa-8205	484	12	,	,	PUNCT
cjfa-8205	484	13	which	which	PRON
cjfa-8205	484	14	is	be	AUX
cjfa-8205	484	15	available	available	ADJ
cjfa-8205	484	16	at	at	ADP
cjfa-8205	484	17	webpage	webpage	NOUN
cjfa-8205	484	18	(	(	PUNCT
cjfa-8205	484	19	see	see	PROPN
cjfa-8205	484	20	huang	huang	PROPN
cjfa-8205	484	21	,	,	PUNCT
cjfa-8205	484	22	zhu	zhu	PROPN
cjfa-8205	484	23	&	&	CCONJ
cjfa-8205	484	24	siew	siew	PROPN
cjfa-8205	484	25	2006	2006	NUM
cjfa-8205	484	26	)	)	PUNCT
cjfa-8205	484	27	.	.	PUNCT
cjfa-8205	485	1	experimental	experimental	ADJ
cjfa-8205	485	2	data	datum	NOUN
cjfa-8205	485	3	in	in	ADP
cjfa-8205	485	4	this	this	DET
cjfa-8205	485	5	research	research	NOUN
cjfa-8205	485	6	8	8	NUM
cjfa-8205	485	7	different	different	ADJ
cjfa-8205	485	8	typical	typical	ADJ
cjfa-8205	485	9	atm	atm	ADJ
cjfa-8205	485	10	daily	daily	ADJ
cjfa-8205	485	11	withdrawal	withdrawal	NOUN
cjfa-8205	485	12	data	datum	NOUN
cjfa-8205	485	13	is	be	AUX
cjfa-8205	485	14	used	use	VERB
cjfa-8205	485	15	with	with	ADP
cjfa-8205	485	16	historical	historical	ADJ
cjfa-8205	485	17	period	period	NOUN
cjfa-8205	485	18	up	up	ADP
cjfa-8205	485	19	to	to	ADP
cjfa-8205	485	20	990	990	NUM
cjfa-8205	485	21	days	day	NOUN
cjfa-8205	485	22	.	.	PUNCT
cjfa-8205	486	1	those	those	DET
cjfa-8205	486	2	8	8	NUM
cjfa-8205	486	3	atms	atms	NOUN
cjfa-8205	486	4	were	be	AUX
cjfa-8205	486	5	selected	select	VERB
cjfa-8205	486	6	from	from	ADP
cjfa-8205	486	7	large	large	ADJ
cjfa-8205	486	8	database	database	NOUN
cjfa-8205	486	9	and	and	CCONJ
cjfa-8205	486	10	represent	represent	VERB
cjfa-8205	486	11	typical	typical	ADJ
cjfa-8205	486	12	cash	cash	NOUN
cjfa-8205	486	13	flow	flow	NOUN
cjfa-8205	486	14	factors	factor	NOUN
cjfa-8205	486	15	that	that	PRON
cjfa-8205	486	16	occur	occur	VERB
cjfa-8205	486	17	in	in	ADP
cjfa-8205	486	18	cash	cash	NOUN
cjfa-8205	486	19	flow	flow	NOUN
cjfa-8205	486	20	process	process	NOUN
cjfa-8205	486	21	.	.	PUNCT
cjfa-8205	487	1	further	far	ADV
cjfa-8205	487	2	a	a	DET
cjfa-8205	487	3	short	short	ADJ
cjfa-8205	487	4	explanation	explanation	NOUN
cjfa-8205	487	5	of	of	ADP
cjfa-8205	487	6	every	every	DET
cjfa-8205	487	7	atm	atm	NOUN
cjfa-8205	487	8	is	be	AUX
cjfa-8205	487	9	conduced	conduce	VERB
cjfa-8205	487	10	:	:	PUNCT
cjfa-8205	487	11			NOUN
cjfa-8205	487	12	atm	atm	ADJ
cjfa-8205	487	13	number	number	NOUN
cjfa-8205	487	14	1	1	NUM
cjfa-8205	487	15	contains	contain	VERB
cjfa-8205	487	16	cash	cash	NOUN
cjfa-8205	487	17	flow	flow	NOUN
cjfa-8205	487	18	with	with	ADP
cjfa-8205	487	19	strong	strong	ADJ
cjfa-8205	487	20	weekly	weekly	ADJ
cjfa-8205	487	21	seasonality	seasonality	NOUN
cjfa-8205	487	22	factor	factor	NOUN
cjfa-8205	487	23	;	;	PUNCT
cjfa-8205	487	24			NOUN
cjfa-8205	487	25	atm	atm	ADJ
cjfa-8205	487	26	number	number	NOUN
cjfa-8205	487	27	2	2	NUM
cjfa-8205	487	28	contains	contain	VERB
cjfa-8205	487	29	cash	cash	NOUN
cjfa-8205	487	30	flow	flow	NOUN
cjfa-8205	487	31	with	with	ADP
cjfa-8205	487	32	strong	strong	ADJ
cjfa-8205	487	33	yearly	yearly	ADJ
cjfa-8205	487	34	and	and	CCONJ
cjfa-8205	487	35	weekly	weekly	ADJ
cjfa-8205	487	36	seasonality	seasonality	NOUN
cjfa-8205	487	37	factors	factor	NOUN
cjfa-8205	487	38	,	,	PUNCT
cjfa-8205	487	39	when	when	SCONJ
cjfa-8205	487	40	yearly	yearly	ADJ
cjfa-8205	487	41	seasonality	seasonality	NOUN
cjfa-8205	487	42	is	be	AUX
cjfa-8205	487	43	smooth	smooth	ADJ
cjfa-8205	487	44	;	;	PUNCT
cjfa-8205	487	45			NOUN
cjfa-8205	487	46	atm	atm	ADJ
cjfa-8205	487	47	number	number	NOUN
cjfa-8205	487	48	3	3	NUM
cjfa-8205	487	49	contains	contain	VERB
cjfa-8205	487	50	cash	cash	NOUN
cjfa-8205	487	51	flow	flow	NOUN
cjfa-8205	487	52	with	with	ADP
cjfa-8205	487	53	strong	strong	ADJ
cjfa-8205	487	54	monthly	monthly	ADJ
cjfa-8205	487	55	seasonality	seasonality	NOUN
cjfa-8205	487	56	factor	factor	NOUN
cjfa-8205	487	57	;	;	PUNCT
cjfa-8205	487	58	is	be	AUX
cjfa-8205	487	59	moore	moore	PROPN
cjfa-8205	487	60	–	–	PUNCT
cjfa-8205	487	61	penrose	penrose	NOUN
cjfa-8205	487	62	generalized	generalize	VERB
cjfa-8205	487	63	inverse	inverse	NOUN
cjfa-8205	487	64	(	(	PUNCT
cjfa-8205	487	65	pseudoinverse	pseudoinverse	NOUN
cjfa-8205	487	66	)	)	PUNCT
cjfa-8205	487	67	matrix	matrix	NOUN
cjfa-8205	487	68	.	.	PUNCT
cjfa-8205	488	1	a	a	DET
cjfa-8205	488	2	matlab	matlab	PROPN
cjfa-8205	488	3	implementation	implementation	NOUN
cjfa-8205	488	4	of	of	ADP
cjfa-8205	488	5	classical	classical	ADJ
cjfa-8205	488	6	elm	elm	NOUN
cjfa-8205	488	7	is	be	AUX
cjfa-8205	488	8	used	use	VERB
cjfa-8205	488	9	in	in	ADP
cjfa-8205	488	10	this	this	DET
cjfa-8205	488	11	research	research	NOUN
cjfa-8205	488	12	,	,	PUNCT
cjfa-8205	488	13	which	which	PRON
cjfa-8205	488	14	is	be	AUX
cjfa-8205	488	15	available	available	ADJ
cjfa-8205	488	16	at	at	ADP
cjfa-8205	488	17	webpage	webpage	NOUN
cjfa-8205	488	18	(	(	PUNCT
cjfa-8205	488	19	see	see	PROPN
cjfa-8205	488	20	huang	huang	PROPN
cjfa-8205	488	21	,	,	PUNCT
cjfa-8205	488	22	zhu	zhu	PROPN
cjfa-8205	488	23	&	&	CCONJ
cjfa-8205	488	24	siew	siew	PROPN
cjfa-8205	488	25	2006	2006	NUM
cjfa-8205	488	26	)	)	PUNCT
cjfa-8205	488	27	.	.	PUNCT
cjfa-8205	489	1	experimental	experimental	ADJ
cjfa-8205	489	2	data	datum	NOUN
cjfa-8205	489	3	in	in	ADP
cjfa-8205	489	4	this	this	DET
cjfa-8205	489	5	research	research	NOUN
cjfa-8205	489	6	8	8	NUM
cjfa-8205	489	7	different	different	ADJ
cjfa-8205	489	8	typical	typical	ADJ
cjfa-8205	489	9	atm	atm	ADJ
cjfa-8205	489	10	daily	daily	ADJ
cjfa-8205	489	11	withdrawal	withdrawal	NOUN
cjfa-8205	489	12	data	datum	NOUN
cjfa-8205	489	13	is	be	AUX
cjfa-8205	489	14	used	use	VERB
cjfa-8205	489	15	with	with	ADP
cjfa-8205	489	16	historical	historical	ADJ
cjfa-8205	489	17	period	period	NOUN
cjfa-8205	489	18	up	up	ADP
cjfa-8205	489	19	to	to	ADP
cjfa-8205	489	20	990	990	NUM
cjfa-8205	489	21	days	day	NOUN
cjfa-8205	489	22	.	.	PUNCT
cjfa-8205	490	1	those	those	DET
cjfa-8205	490	2	8	8	NUM
cjfa-8205	490	3	atms	atms	NOUN
cjfa-8205	490	4	were	be	AUX
cjfa-8205	490	5	selected	select	VERB
cjfa-8205	490	6	from	from	ADP
cjfa-8205	490	7	large	large	ADJ
cjfa-8205	490	8	database	database	NOUN
cjfa-8205	490	9	and	and	CCONJ
cjfa-8205	490	10	represent	represent	VERB
cjfa-8205	490	11	typical	typical	ADJ
cjfa-8205	490	12	cash	cash	NOUN
cjfa-8205	490	13	flow	flow	NOUN
cjfa-8205	490	14	factors	factor	NOUN
cjfa-8205	490	15	that	that	PRON
cjfa-8205	490	16	occur	occur	VERB
cjfa-8205	490	17	in	in	ADP
cjfa-8205	490	18	cash	cash	NOUN
cjfa-8205	490	19	flow	flow	NOUN
cjfa-8205	490	20	process	process	NOUN
cjfa-8205	490	21	.	.	PUNCT
cjfa-8205	491	1	further	far	ADV
cjfa-8205	491	2	a	a	DET
cjfa-8205	491	3	short	short	ADJ
cjfa-8205	491	4	explanation	explanation	NOUN
cjfa-8205	491	5	of	of	ADP
cjfa-8205	491	6	every	every	DET
cjfa-8205	491	7	atm	atm	NOUN
cjfa-8205	491	8	is	be	AUX
cjfa-8205	491	9	conduced	conduce	VERB
cjfa-8205	491	10	:	:	PUNCT
cjfa-8205	491	11	■	■	PUNCT
cjfa-8205	491	12	atm	atm	ADJ
cjfa-8205	491	13	number	number	NOUN
cjfa-8205	491	14	1	1	NUM
cjfa-8205	491	15	contains	contain	VERB
cjfa-8205	491	16	cash	cash	NOUN
cjfa-8205	491	17	flow	flow	NOUN
cjfa-8205	491	18	with	with	ADP
cjfa-8205	491	19	strong	strong	ADJ
cjfa-8205	491	20	weekly	weekly	ADJ
cjfa-8205	491	21	seasonality	seasonality	NOUN
cjfa-8205	491	22	factor	factor	NOUN
cjfa-8205	491	23	;	;	PUNCT
cjfa-8205	491	24	■	■	PUNCT
cjfa-8205	491	25	atm	atm	ADJ
cjfa-8205	491	26	number	number	NOUN
cjfa-8205	491	27	2	2	NUM
cjfa-8205	491	28	contains	contain	VERB
cjfa-8205	491	29	cash	cash	NOUN
cjfa-8205	491	30	flow	flow	NOUN
cjfa-8205	491	31	with	with	ADP
cjfa-8205	491	32	strong	strong	ADJ
cjfa-8205	491	33	yearly	yearly	ADJ
cjfa-8205	491	34	and	and	CCONJ
cjfa-8205	491	35	weekly	weekly	ADJ
cjfa-8205	491	36	seasonality	seasonality	NOUN
cjfa-8205	491	37	factors	factor	NOUN
cjfa-8205	491	38	,	,	PUNCT
cjfa-8205	491	39	when	when	SCONJ
cjfa-8205	491	40	yearly	yearly	ADJ
cjfa-8205	491	41	seasonality	seasonality	NOUN
cjfa-8205	491	42	is	be	AUX
cjfa-8205	491	43	smooth	smooth	ADJ
cjfa-8205	491	44	;	;	PUNCT
cjfa-8205	491	45	■	■	PUNCT
cjfa-8205	491	46	atm	atm	ADJ
cjfa-8205	491	47	number	number	NOUN
cjfa-8205	491	48	3	3	NUM
cjfa-8205	491	49	contains	contain	VERB
cjfa-8205	491	50	cash	cash	NOUN
cjfa-8205	491	51	flow	flow	NOUN
cjfa-8205	491	52	with	with	ADP
cjfa-8205	491	53	strong	strong	ADJ
cjfa-8205	491	54	monthly	monthly	ADJ
cjfa-8205	491	55	seasonality	seasonality	NOUN
cjfa-8205	491	56	factor	factor	NOUN
cjfa-8205	491	57	;	;	PUNCT
cjfa-8205	491	58	■	■	PUNCT
cjfa-8205	491	59	atm	atm	ADJ
cjfa-8205	491	60	number	number	NOUN
cjfa-8205	491	61	4	4	NUM
cjfa-8205	491	62	contains	contain	VERB
cjfa-8205	491	63	cash	cash	NOUN
cjfa-8205	491	64	flow	flow	NOUN
cjfa-8205	491	65	with	with	ADP
cjfa-8205	491	66	strong	strong	ADJ
cjfa-8205	491	67	yearly	yearly	ADJ
cjfa-8205	491	68	and	and	CCONJ
cjfa-8205	491	69	weekly	weekly	ADJ
cjfa-8205	491	70	seasonality	seasonality	NOUN
cjfa-8205	491	71	factors	factor	NOUN
cjfa-8205	491	72	,	,	PUNCT
cjfa-8205	491	73	when	when	SCONJ
cjfa-8205	491	74	yearly	yearly	ADJ
cjfa-8205	491	75	seasonality	seasonality	NOUN
cjfa-8205	491	76	is	be	AUX
cjfa-8205	491	77	not	not	PART
cjfa-8205	491	78	smooth	smooth	ADJ
cjfa-8205	491	79	(	(	PUNCT
cjfa-8205	491	80	temporal	temporal	ADJ
cjfa-8205	491	81	structural	structural	ADJ
cjfa-8205	491	82	breaks	break	NOUN
cjfa-8205	491	83	)	)	PUNCT
cjfa-8205	491	84	;	;	PUNCT
cjfa-8205	491	85	■	■	PUNCT
cjfa-8205	491	86	atm	atm	ADJ
cjfa-8205	491	87	number	number	NOUN
cjfa-8205	491	88	5	5	NUM
cjfa-8205	491	89	contains	contain	VERB
cjfa-8205	491	90	cash	cash	NOUN
cjfa-8205	491	91	flow	flow	NOUN
cjfa-8205	491	92	with	with	ADP
cjfa-8205	491	93	weak	weak	ADJ
cjfa-8205	491	94	mixed	mixed	ADJ
cjfa-8205	491	95	(	(	PUNCT
cjfa-8205	491	96	weekly	weekly	ADJ
cjfa-8205	491	97	and	and	CCONJ
cjfa-8205	491	98	monthly	monthly	ADJ
cjfa-8205	491	99	)	)	PUNCT
cjfa-8205	491	100	seasonality	seasonality	NOUN
cjfa-8205	491	101	,	,	PUNCT
cjfa-8205	491	102	increasing	increase	VERB
cjfa-8205	491	103	trend	trend	NOUN
cjfa-8205	491	104	and	and	CCONJ
cjfa-8205	491	105	heteroscedasticity	heteroscedasticity	NOUN
cjfa-8205	491	106	factors	factor	NOUN
cjfa-8205	491	107	with	with	ADP
cjfa-8205	491	108	gediminas	gedimina	NOUN
cjfa-8205	491	109	žylius220	žylius220	PROPN
cjfa-8205	491	110	permanent	permanent	ADJ
cjfa-8205	491	111	structural	structural	ADJ
cjfa-8205	491	112	break	break	NOUN
cjfa-8205	491	113	factor	factor	NOUN
cjfa-8205	491	114	(	(	PUNCT
cjfa-8205	491	115	sudden	sudden	ADJ
cjfa-8205	491	116	cash	cash	NOUN
cjfa-8205	491	117	flow	flow	NOUN
cjfa-8205	491	118	break	break	NOUN
cjfa-8205	491	119	when	when	SCONJ
cjfa-8205	491	120	atm	atm	NOUN
cjfa-8205	491	121	cash	cash	NOUN
cjfa-8205	491	122	flow	flow	NOUN
cjfa-8205	491	123	decreases	decrease	VERB
cjfa-8205	491	124	)	)	PUNCT
cjfa-8205	491	125	;	;	PUNCT
cjfa-8205	491	126	■	■	PUNCT
cjfa-8205	491	127	atm	atm	ADJ
cjfa-8205	491	128	number	number	NOUN
cjfa-8205	491	129	6	6	NUM
cjfa-8205	491	130	contains	contain	VERB
cjfa-8205	491	131	cash	cash	NOUN
cjfa-8205	491	132	flow	flow	NOUN
cjfa-8205	491	133	with	with	ADP
cjfa-8205	491	134	mixed	mixed	ADJ
cjfa-8205	491	135	(	(	PUNCT
cjfa-8205	491	136	weekly	weekly	ADJ
cjfa-8205	491	137	and	and	CCONJ
cjfa-8205	491	138	monthly	monthly	ADJ
cjfa-8205	491	139	)	)	PUNCT
cjfa-8205	491	140	seasonality	seasonality	NOUN
cjfa-8205	491	141	and	and	CCONJ
cjfa-8205	491	142	permanent	permanent	ADJ
cjfa-8205	491	143	structural	structural	ADJ
cjfa-8205	491	144	break	break	NOUN
cjfa-8205	491	145	factors	factor	NOUN
cjfa-8205	491	146	(	(	PUNCT
cjfa-8205	491	147	sudden	sudden	ADJ
cjfa-8205	491	148	cash	cash	NOUN
cjfa-8205	491	149	flow	flow	NOUN
cjfa-8205	491	150	break	break	NOUN
cjfa-8205	491	151	when	when	SCONJ
cjfa-8205	491	152	atm	atm	NOUN
cjfa-8205	491	153	cash	cash	NOUN
cjfa-8205	491	154	flow	flow	NOUN
cjfa-8205	491	155	increases	increase	NOUN
cjfa-8205	491	156	)	)	PUNCT
cjfa-8205	491	157	;	;	PUNCT
cjfa-8205	491	158	■	■	PUNCT
cjfa-8205	491	159	atm	atm	ADJ
cjfa-8205	491	160	number	number	NOUN
cjfa-8205	491	161	7	7	NUM
cjfa-8205	491	162	contains	contain	VERB
cjfa-8205	491	163	cash	cash	NOUN
cjfa-8205	491	164	flow	flow	NOUN
cjfa-8205	491	165	with	with	ADP
cjfa-8205	491	166	weekly	weekly	ADJ
cjfa-8205	491	167	seasonality	seasonality	NOUN
cjfa-8205	491	168	and	and	CCONJ
cjfa-8205	491	169	temporal	temporal	ADJ
cjfa-8205	491	170	structural	structural	ADJ
cjfa-8205	491	171	break	break	NOUN
cjfa-8205	491	172	factors	factor	NOUN
cjfa-8205	491	173	(	(	PUNCT
cjfa-8205	491	174	sudden	sudden	ADJ
cjfa-8205	491	175	cash	cash	NOUN
cjfa-8205	491	176	flow	flow	NOUN
cjfa-8205	491	177	break	break	NOUN
cjfa-8205	491	178	when	when	SCONJ
cjfa-8205	491	179	atm	atm	NOUN
cjfa-8205	491	180	cash	cash	NOUN
cjfa-8205	491	181	flow	flow	NOUN
cjfa-8205	491	182	decreases	decrease	NOUN
cjfa-8205	491	183	and	and	CCONJ
cjfa-8205	491	184	again	again	ADV
cjfa-8205	491	185	increases	increase	VERB
cjfa-8205	491	186	to	to	ADP
cjfa-8205	491	187	normal	normal	ADJ
cjfa-8205	491	188	cash	cash	NOUN
cjfa-8205	491	189	flow	flow	NOUN
cjfa-8205	491	190	level	level	NOUN
cjfa-8205	491	191	after	after	ADP
cjfa-8205	491	192	some	some	DET
cjfa-8205	491	193	period	period	NOUN
cjfa-8205	491	194	)	)	PUNCT
cjfa-8205	491	195	;	;	PUNCT
cjfa-8205	491	196	■	■	PUNCT
cjfa-8205	491	197	atm	atm	ADJ
cjfa-8205	491	198	number	number	NOUN
cjfa-8205	491	199	8	8	NUM
cjfa-8205	491	200	contains	contain	VERB
cjfa-8205	491	201	cash	cash	NOUN
cjfa-8205	491	202	flow	flow	NOUN
cjfa-8205	491	203	with	with	ADP
cjfa-8205	491	204	weekly	weekly	ADJ
cjfa-8205	491	205	seasonality	seasonality	NOUN
cjfa-8205	491	206	,	,	PUNCT
cjfa-8205	491	207	increasing	increase	VERB
cjfa-8205	491	208	trend	trend	NOUN
cjfa-8205	491	209	and	and	CCONJ
cjfa-8205	491	210	heteroscedasticity	heteroscedasticity	NOUN
cjfa-8205	491	211	factors	factor	NOUN
cjfa-8205	491	212	.	.	PUNCT
cjfa-8205	492	1	cash	cash	NOUN
cjfa-8205	492	2	flow	flow	NOUN
cjfa-8205	492	3	pictures	picture	NOUN
cjfa-8205	492	4	together	together	ADV
cjfa-8205	492	5	with	with	ADP
cjfa-8205	492	6	autocorrelation	autocorrelation	NOUN
cjfa-8205	492	7	functions	function	NOUN
cjfa-8205	492	8	are	be	AUX
cjfa-8205	492	9	presented	present	VERB
cjfa-8205	492	10	in	in	ADP
cjfa-8205	492	11	appendix	appendix	NOUN
cjfa-8205	492	12	for	for	ADP
cjfa-8205	492	13	every	every	DET
cjfa-8205	492	14	atm	atm	NOUN
cjfa-8205	492	15	.	.	PUNCT
cjfa-8205	493	1	methodology	methodology	NOUN
cjfa-8205	493	2	in	in	ADP
cjfa-8205	493	3	order	order	NOUN
cjfa-8205	493	4	to	to	PART
cjfa-8205	493	5	evaluate	evaluate	VERB
cjfa-8205	493	6	forecasting	forecasting	NOUN
cjfa-8205	493	7	accuracy	accuracy	NOUN
cjfa-8205	493	8	a	a	DET
cjfa-8205	493	9	specific	specific	ADJ
cjfa-8205	493	10	metric	metric	NOUN
cjfa-8205	493	11	is	be	AUX
cjfa-8205	493	12	needed	need	VERB
cjfa-8205	493	13	.	.	PUNCT
cjfa-8205	494	1	in	in	ADP
cjfa-8205	494	2	this	this	DET
cjfa-8205	494	3	research	research	NOUN
cjfa-8205	494	4	forecasting	forecasting	NOUN
cjfa-8205	494	5	accuracy	accuracy	NOUN
cjfa-8205	494	6	metric	metric	NOUN
cjfa-8205	494	7	called	call	VERB
cjfa-8205	494	8	symmetric	symmetric	ADJ
cjfa-8205	494	9	mean	mean	VERB
cjfa-8205	494	10	absolute	absolute	ADJ
cjfa-8205	494	11	percentage	percentage	NOUN
cjfa-8205	494	12	error	error	NOUN
cjfa-8205	494	13	(	(	PUNCT
cjfa-8205	494	14	smape	smape	NOUN
cjfa-8205	494	15	)	)	PUNCT
cjfa-8205	494	16	is	be	AUX
cjfa-8205	494	17	used	use	VERB
cjfa-8205	494	18	which	which	PRON
cjfa-8205	494	19	is	be	AUX
cjfa-8205	494	20	calculated	calculate	VERB
cjfa-8205	494	21	with	with	ADP
cjfa-8205	494	22	following	follow	VERB
cjfa-8205	494	23	formula	formula	NOUN
cjfa-8205	494	24	:	:	PUNCT
cjfa-8205	494	25			NOUN
cjfa-8205	494	26	atm	atm	ADJ
cjfa-8205	494	27	number	number	NOUN
cjfa-8205	494	28	4	4	NUM
cjfa-8205	494	29	contains	contain	VERB
cjfa-8205	494	30	cash	cash	NOUN
cjfa-8205	494	31	flow	flow	NOUN
cjfa-8205	494	32	with	with	ADP
cjfa-8205	494	33	strong	strong	ADJ
cjfa-8205	494	34	yearly	yearly	ADJ
cjfa-8205	494	35	and	and	CCONJ
cjfa-8205	494	36	weekly	weekly	ADJ
cjfa-8205	494	37	seasonality	seasonality	NOUN
cjfa-8205	494	38	factors	factor	NOUN
cjfa-8205	494	39	,	,	PUNCT
cjfa-8205	494	40	when	when	SCONJ
cjfa-8205	494	41	yearly	yearly	ADJ
cjfa-8205	494	42	seasonality	seasonality	NOUN
cjfa-8205	494	43	is	be	AUX
cjfa-8205	494	44	not	not	PART
cjfa-8205	494	45	smooth	smooth	ADJ
cjfa-8205	494	46	(	(	PUNCT
cjfa-8205	494	47	temporal	temporal	ADJ
cjfa-8205	494	48	structural	structural	ADJ
cjfa-8205	494	49	breaks	break	NOUN
cjfa-8205	494	50	)	)	PUNCT
cjfa-8205	494	51	;	;	PUNCT
cjfa-8205	494	52			NOUN
cjfa-8205	494	53	atm	atm	ADJ
cjfa-8205	494	54	number	number	NOUN
cjfa-8205	494	55	5	5	NUM
cjfa-8205	494	56	contains	contain	VERB
cjfa-8205	494	57	cash	cash	NOUN
cjfa-8205	494	58	flow	flow	NOUN
cjfa-8205	494	59	with	with	ADP
cjfa-8205	494	60	weak	weak	ADJ
cjfa-8205	494	61	mixed	mixed	ADJ
cjfa-8205	494	62	(	(	PUNCT
cjfa-8205	494	63	weekly	weekly	ADJ
cjfa-8205	494	64	and	and	CCONJ
cjfa-8205	494	65	monthly	monthly	ADJ
cjfa-8205	494	66	)	)	PUNCT
cjfa-8205	494	67	seasonality	seasonality	NOUN
cjfa-8205	494	68	,	,	PUNCT
cjfa-8205	494	69	increasing	increase	VERB
cjfa-8205	494	70	trend	trend	NOUN
cjfa-8205	494	71	and	and	CCONJ
cjfa-8205	494	72	heteroscedasticity	heteroscedasticity	NOUN
cjfa-8205	494	73	factors	factor	NOUN
cjfa-8205	494	74	with	with	ADP
cjfa-8205	494	75	permanent	permanent	ADJ
cjfa-8205	494	76	structural	structural	ADJ
cjfa-8205	494	77	break	break	NOUN
cjfa-8205	494	78	factor	factor	NOUN
cjfa-8205	494	79	(	(	PUNCT
cjfa-8205	494	80	sudden	sudden	ADJ
cjfa-8205	494	81	cash	cash	NOUN
cjfa-8205	494	82	flow	flow	NOUN
cjfa-8205	494	83	break	break	NOUN
cjfa-8205	494	84	when	when	SCONJ
cjfa-8205	494	85	atm	atm	NOUN
cjfa-8205	494	86	cash	cash	NOUN
cjfa-8205	494	87	flow	flow	NOUN
cjfa-8205	494	88	decreases	decrease	VERB
cjfa-8205	494	89	)	)	PUNCT
cjfa-8205	494	90	;	;	PUNCT
cjfa-8205	494	91			NOUN
cjfa-8205	494	92	atm	atm	ADJ
cjfa-8205	494	93	number	number	NOUN
cjfa-8205	494	94	6	6	NUM
cjfa-8205	494	95	contains	contain	VERB
cjfa-8205	494	96	cash	cash	NOUN
cjfa-8205	494	97	flow	flow	NOUN
cjfa-8205	494	98	with	with	ADP
cjfa-8205	494	99	mixed	mixed	ADJ
cjfa-8205	494	100	(	(	PUNCT
cjfa-8205	494	101	weekly	weekly	ADJ
cjfa-8205	494	102	and	and	CCONJ
cjfa-8205	494	103	monthly	monthly	ADJ
cjfa-8205	494	104	)	)	PUNCT
cjfa-8205	494	105	seasonality	seasonality	NOUN
cjfa-8205	494	106	and	and	CCONJ
cjfa-8205	494	107	permanent	permanent	ADJ
cjfa-8205	494	108	structural	structural	ADJ
cjfa-8205	494	109	break	break	NOUN
cjfa-8205	494	110	factors	factor	NOUN
cjfa-8205	494	111	(	(	PUNCT
cjfa-8205	494	112	sudden	sudden	ADJ
cjfa-8205	494	113	cash	cash	NOUN
cjfa-8205	494	114	flow	flow	NOUN
cjfa-8205	494	115	break	break	NOUN
cjfa-8205	494	116	when	when	SCONJ
cjfa-8205	494	117	atm	atm	NOUN
cjfa-8205	494	118	cash	cash	NOUN
cjfa-8205	494	119	flow	flow	NOUN
cjfa-8205	494	120	increases	increase	NOUN
cjfa-8205	494	121	)	)	PUNCT
cjfa-8205	494	122	;	;	PUNCT
cjfa-8205	494	123			NOUN
cjfa-8205	494	124	atm	atm	AUX
cjfa-8205	494	125	number	number	NOUN
cjfa-8205	494	126	7	7	NUM
cjfa-8205	494	127	contains	contain	VERB
cjfa-8205	494	128	cash	cash	NOUN
cjfa-8205	494	129	flow	flow	NOUN
cjfa-8205	494	130	with	with	ADP
cjfa-8205	494	131	weekly	weekly	ADJ
cjfa-8205	494	132	seasonality	seasonality	NOUN
cjfa-8205	494	133	and	and	CCONJ
cjfa-8205	494	134	temporal	temporal	ADJ
cjfa-8205	494	135	structural	structural	ADJ
cjfa-8205	494	136	break	break	NOUN
cjfa-8205	494	137	factors	factor	NOUN
cjfa-8205	494	138	(	(	PUNCT
cjfa-8205	494	139	sudden	sudden	ADJ
cjfa-8205	494	140	cash	cash	NOUN
cjfa-8205	494	141	flow	flow	NOUN
cjfa-8205	494	142	break	break	NOUN
cjfa-8205	494	143	when	when	SCONJ
cjfa-8205	494	144	atm	atm	NOUN
cjfa-8205	494	145	cash	cash	NOUN
cjfa-8205	494	146	flow	flow	NOUN
cjfa-8205	494	147	decreases	decrease	NOUN
cjfa-8205	494	148	and	and	CCONJ
cjfa-8205	494	149	again	again	ADV
cjfa-8205	494	150	increases	increase	VERB
cjfa-8205	494	151	to	to	ADP
cjfa-8205	494	152	normal	normal	ADJ
cjfa-8205	494	153	cash	cash	NOUN
cjfa-8205	494	154	flow	flow	NOUN
cjfa-8205	494	155	level	level	NOUN
cjfa-8205	494	156	after	after	ADP
cjfa-8205	494	157	some	some	DET
cjfa-8205	494	158	period	period	NOUN
cjfa-8205	494	159	)	)	PUNCT
cjfa-8205	494	160	;	;	PUNCT
cjfa-8205	494	161			NOUN
cjfa-8205	494	162	atm	atm	ADJ
cjfa-8205	494	163	number	number	NOUN
cjfa-8205	494	164	8	8	NUM
cjfa-8205	494	165	contains	contain	VERB
cjfa-8205	494	166	cash	cash	NOUN
cjfa-8205	494	167	flow	flow	NOUN
cjfa-8205	494	168	with	with	ADP
cjfa-8205	494	169	weekly	weekly	ADJ
cjfa-8205	494	170	seasonality	seasonality	NOUN
cjfa-8205	494	171	,	,	PUNCT
cjfa-8205	494	172	increasing	increase	VERB
cjfa-8205	494	173	trend	trend	NOUN
cjfa-8205	494	174	and	and	CCONJ
cjfa-8205	494	175	heteroscedasticity	heteroscedasticity	NOUN
cjfa-8205	494	176	factors	factor	NOUN
cjfa-8205	494	177	.	.	PUNCT
cjfa-8205	495	1	cash	cash	NOUN
cjfa-8205	495	2	flow	flow	NOUN
cjfa-8205	495	3	pictures	picture	NOUN
cjfa-8205	495	4	together	together	ADV
cjfa-8205	495	5	with	with	ADP
cjfa-8205	495	6	autocorrelation	autocorrelation	NOUN
cjfa-8205	495	7	functions	function	NOUN
cjfa-8205	495	8	are	be	AUX
cjfa-8205	495	9	presented	present	VERB
cjfa-8205	495	10	in	in	ADP
cjfa-8205	495	11	appendix	appendix	NOUN
cjfa-8205	495	12	for	for	ADP
cjfa-8205	495	13	every	every	DET
cjfa-8205	495	14	atm	atm	NOUN
cjfa-8205	495	15	.	.	PUNCT
cjfa-8205	496	1	methodology	methodology	NOUN
cjfa-8205	496	2	in	in	ADP
cjfa-8205	496	3	order	order	NOUN
cjfa-8205	496	4	to	to	PART
cjfa-8205	496	5	evaluate	evaluate	VERB
cjfa-8205	496	6	forecasting	forecasting	NOUN
cjfa-8205	496	7	accuracy	accuracy	NOUN
cjfa-8205	496	8	a	a	DET
cjfa-8205	496	9	specific	specific	ADJ
cjfa-8205	496	10	metric	metric	NOUN
cjfa-8205	496	11	is	be	AUX
cjfa-8205	496	12	needed	need	VERB
cjfa-8205	496	13	.	.	PUNCT
cjfa-8205	497	1	in	in	ADP
cjfa-8205	497	2	this	this	DET
cjfa-8205	497	3	research	research	NOUN
cjfa-8205	497	4	forecasting	forecasting	NOUN
cjfa-8205	497	5	accuracy	accuracy	NOUN
cjfa-8205	497	6	metric	metric	NOUN
cjfa-8205	497	7	called	call	VERB
cjfa-8205	497	8	symmetric	symmetric	ADJ
cjfa-8205	497	9	mean	mean	VERB
cjfa-8205	497	10	absolute	absolute	ADJ
cjfa-8205	497	11	percentage	percentage	NOUN
cjfa-8205	497	12	error	error	NOUN
cjfa-8205	497	13	(	(	PUNCT
cjfa-8205	497	14	smape	smape	NOUN
cjfa-8205	497	15	)	)	PUNCT
cjfa-8205	497	16	is	be	AUX
cjfa-8205	497	17	used	use	VERB
cjfa-8205	497	18	which	which	PRON
cjfa-8205	497	19	is	be	AUX
cjfa-8205	497	20	calculated	calculate	VERB
cjfa-8205	497	21	with	with	ADP
cjfa-8205	497	22	following	follow	VERB
cjfa-8205	497	23	formula	formula	NOUN
cjfa-8205	497	24	:	:	PUNCT
cjfa-8205	497	25	�	�	PROPN
cjfa-8205	497	26	�	�	PROPN
cjfa-8205	497	27	�	�	PROPN
cjfa-8205	497	28	�	�	PROPN
cjfa-8205	497	29	�	�	PROPN
cjfa-8205	497	30	�	�	PROPN
cjfa-8205	497	31	100	100	NUM
cjfa-8205	497	32	�	�	PROPN
cjfa-8205	497	33	�	�	PROPN
cjfa-8205	497	34	|	|	NOUN
cjfa-8205	497	35	�	�	PROPN
cjfa-8205	497	36	�	�	PROPN
cjfa-8205	497	37	�	�	PROPN
cjfa-8205	497	38	�	�	PROPN
cjfa-8205	497	39	�	�	PROPN
cjfa-8205	497	40	�	�	PROPN
cjfa-8205	497	41	|	|	ADV
cjfa-8205	497	42	1	1	NUM
cjfa-8205	497	43	2	2	NUM
cjfa-8205	497	44	�	�	PROPN
cjfa-8205	497	45	�	�	PROPN
cjfa-8205	497	46	�	�	PROPN
cjfa-8205	497	47	�	�	PROPN
cjfa-8205	497	48	�	�	PROPN
cjfa-8205	497	49	�	�	PROPN
cjfa-8205	497	50	�	�	PROPN
cjfa-8205	497	51	�	�	PROPN
cjfa-8205	497	52	�	�	PROPN
cjfa-8205	497	53	�	�	PROPN
cjfa-8205	497	54	�	�	PROPN
cjfa-8205	497	55	�	�	PROPN
cjfa-8205	497	56	.	.	PUNCT
cjfa-8205	498	1	where	where	SCONJ
cjfa-8205	498	2	�	�	PROPN
cjfa-8205	498	3	�	�	PROPN
cjfa-8205	498	4	�	�	PROPN
cjfa-8205	498	5	is	be	AUX
cjfa-8205	498	6	forecasted	forecast	VERB
cjfa-8205	498	7	cash	cash	NOUN
cjfa-8205	498	8	flow	flow	NOUN
cjfa-8205	498	9	value	value	NOUN
cjfa-8205	498	10	and	and	CCONJ
cjfa-8205	498	11	�	�	PROPN
cjfa-8205	498	12	�	�	PROPN
cjfa-8205	498	13	is	be	AUX
cjfa-8205	498	14	real	real	ADJ
cjfa-8205	498	15	cash	cash	NOUN
cjfa-8205	498	16	flow	flow	NOUN
cjfa-8205	498	17	value	value	NOUN
cjfa-8205	498	18	.	.	PUNCT
cjfa-8205	499	1	forecasting	forecasting	NOUN
cjfa-8205	499	2	is	be	AUX
cjfa-8205	499	3	performed	perform	VERB
cjfa-8205	499	4	by	by	ADP
cjfa-8205	499	5	training	training	NOUN
cjfa-8205	499	6	model	model	NOUN
cjfa-8205	499	7	with	with	ADP
cjfa-8205	499	8	one	one	NUM
cjfa-8205	499	9	part	part	NOUN
cjfa-8205	499	10	of	of	ADP
cjfa-8205	499	11	historical	historical	ADJ
cjfa-8205	499	12	cash	cash	NOUN
cjfa-8205	499	13	flow	flow	NOUN
cjfa-8205	499	14	dataset	dataset	VERB
cjfa-8205	499	15	once	once	ADV
cjfa-8205	499	16	and	and	CCONJ
cjfa-8205	499	17	testing	testing	NOUN
cjfa-8205	499	18	(	(	PUNCT
cjfa-8205	499	19	forecasting	forecasting	NOUN
cjfa-8205	499	20	accuracy	accuracy	NOUN
cjfa-8205	499	21	evaluation	evaluation	NOUN
cjfa-8205	499	22	)	)	PUNCT
cjfa-8205	499	23	is	be	AUX
cjfa-8205	499	24	done	do	VERB
cjfa-8205	499	25	with	with	ADP
cjfa-8205	499	26	another	another	DET
cjfa-8205	499	27	part	part	NOUN
cjfa-8205	499	28	of	of	ADP
cjfa-8205	499	29	historical	historical	ADJ
cjfa-8205	499	30	cash	cash	NOUN
cjfa-8205	499	31	flow	flow	NOUN
cjfa-8205	499	32	dataset	dataset	NOUN
cjfa-8205	499	33	.	.	PUNCT
cjfa-8205	500	1	four	four	NUM
cjfa-8205	500	2	cases	case	NOUN
cjfa-8205	500	3	of	of	ADP
cjfa-8205	500	4	training	training	NOUN
cjfa-8205	500	5	for	for	ADP
cjfa-8205	500	6	every	every	DET
cjfa-8205	500	7	atm	atm	NOUN
cjfa-8205	500	8	are	be	AUX
cjfa-8205	500	9	performed	perform	VERB
cjfa-8205	500	10	(	(	PUNCT
cjfa-8205	500	11	figure	figure	NOUN
cjfa-8205	500	12	4	4	NUM
cjfa-8205	500	13	):	):	PUNCT
cjfa-8205	500	14	1	1	X
cjfa-8205	500	15	)	)	PUNCT
cjfa-8205	500	16	models	model	NOUN
cjfa-8205	500	17	are	be	AUX
cjfa-8205	500	18	trained	train	VERB
cjfa-8205	500	19	with	with	ADP
cjfa-8205	500	20	2	2	NUM
cjfa-8205	500	21	year	year	NOUN
cjfa-8205	500	22	(	(	PUNCT
cjfa-8205	500	23	or	or	CCONJ
cjfa-8205	500	24	800	800	NUM
cjfa-8205	500	25	days	day	NOUN
cjfa-8205	500	26	for	for	ADP
cjfa-8205	500	27	some	some	DET
cjfa-8205	500	28	atms	atms	NOUN
cjfa-8205	500	29	)	)	PUNCT
cjfa-8205	500	30	historical	historical	ADJ
cjfa-8205	500	31	period	period	NOUN
cjfa-8205	500	32	;	;	PUNCT
cjfa-8205	501	1	2	2	X
cjfa-8205	501	2	)	)	PUNCT
cjfa-8205	501	3	models	model	NOUN
cjfa-8205	501	4	are	be	AUX
cjfa-8205	501	5	trained	train	VERB
cjfa-8205	501	6	with	with	ADP
cjfa-8205	501	7	1.5	1.5	NUM
cjfa-8205	501	8	year	year	NOUN
cjfa-8205	501	9	(	(	PUNCT
cjfa-8205	501	10	or	or	CCONJ
cjfa-8205	501	11	400	400	NUM
cjfa-8205	501	12	days	day	NOUN
cjfa-8205	501	13	for	for	ADP
cjfa-8205	501	14	some	some	DET
cjfa-8205	501	15	atms	atms	NOUN
cjfa-8205	501	16	)	)	PUNCT
cjfa-8205	501	17	historical	historical	ADJ
cjfa-8205	501	18	period	period	NOUN
cjfa-8205	501	19	;	;	PUNCT
cjfa-8205	501	20	3	3	X
cjfa-8205	501	21	)	)	PUNCT
cjfa-8205	501	22	models	model	NOUN
cjfa-8205	501	23	are	be	AUX
cjfa-8205	501	24	trained	train	VERB
cjfa-8205	501	25	with	with	ADP
cjfa-8205	501	26	1	1	NUM
cjfa-8205	501	27	year	year	NOUN
cjfa-8205	501	28	(	(	PUNCT
cjfa-8205	501	29	or	or	CCONJ
cjfa-8205	501	30	200	200	NUM
cjfa-8205	501	31	days	day	NOUN
cjfa-8205	501	32	for	for	ADP
cjfa-8205	501	33	some	some	DET
cjfa-8205	501	34	atms	atms	NOUN
cjfa-8205	501	35	)	)	PUNCT
cjfa-8205	501	36	historical	historical	ADJ
cjfa-8205	501	37	period	period	NOUN
cjfa-8205	501	38	;	;	PUNCT
cjfa-8205	501	39	4	4	X
cjfa-8205	501	40	)	)	PUNCT
cjfa-8205	501	41	models	model	NOUN
cjfa-8205	501	42	are	be	AUX
cjfa-8205	501	43	trained	train	VERB
cjfa-8205	501	44	with	with	ADP
cjfa-8205	501	45	0.5	0.5	NUM
cjfa-8205	501	46	year	year	NOUN
cjfa-8205	501	47	(	(	PUNCT
cjfa-8205	501	48	or	or	CCONJ
cjfa-8205	501	49	100	100	NUM
cjfa-8205	501	50	days	day	NOUN
cjfa-8205	501	51	for	for	ADP
cjfa-8205	501	52	some	some	DET
cjfa-8205	501	53	atms	atms	NOUN
cjfa-8205	501	54	)	)	PUNCT
cjfa-8205	501	55	historical	historical	ADJ
cjfa-8205	501	56	period	period	NOUN
cjfa-8205	501	57	.	.	PUNCT
cjfa-8205	502	1	but	but	CCONJ
cjfa-8205	502	2	for	for	ADP
cjfa-8205	502	3	testing	testing	NOUN
cjfa-8205	502	4	,	,	PUNCT
cjfa-8205	502	5	same	same	ADJ
cjfa-8205	502	6	amount	amount	NOUN
cjfa-8205	502	7	of	of	ADP
cjfa-8205	502	8	data	datum	NOUN
cjfa-8205	502	9	is	be	AUX
cjfa-8205	502	10	used	use	VERB
cjfa-8205	502	11	for	for	ADP
cjfa-8205	502	12	every	every	DET
cjfa-8205	502	13	training	training	NOUN
cjfa-8205	502	14	case	case	NOUN
cjfa-8205	502	15	.	.	PUNCT
cjfa-8205	503	1	where	where	SCONJ
cjfa-8205	503	2			NOUN
cjfa-8205	503	3	atm	atm	ADJ
cjfa-8205	503	4	number	number	NOUN
cjfa-8205	503	5	4	4	NUM
cjfa-8205	503	6	contains	contain	VERB
cjfa-8205	503	7	cash	cash	NOUN
cjfa-8205	503	8	flow	flow	NOUN
cjfa-8205	503	9	with	with	ADP
cjfa-8205	503	10	strong	strong	ADJ
cjfa-8205	503	11	yearly	yearly	ADJ
cjfa-8205	503	12	and	and	CCONJ
cjfa-8205	503	13	weekly	weekly	ADJ
cjfa-8205	503	14	seasonality	seasonality	NOUN
cjfa-8205	503	15	factors	factor	NOUN
cjfa-8205	503	16	,	,	PUNCT
cjfa-8205	503	17	when	when	SCONJ
cjfa-8205	503	18	yearly	yearly	ADJ
cjfa-8205	503	19	seasonality	seasonality	NOUN
cjfa-8205	503	20	is	be	AUX
cjfa-8205	503	21	not	not	PART
cjfa-8205	503	22	smooth	smooth	ADJ
cjfa-8205	503	23	(	(	PUNCT
cjfa-8205	503	24	temporal	temporal	ADJ
cjfa-8205	503	25	structural	structural	ADJ
cjfa-8205	503	26	breaks	break	NOUN
cjfa-8205	503	27	)	)	PUNCT
cjfa-8205	503	28	;	;	PUNCT
cjfa-8205	503	29			NOUN
cjfa-8205	503	30	atm	atm	ADJ
cjfa-8205	503	31	number	number	NOUN
cjfa-8205	503	32	5	5	NUM
cjfa-8205	503	33	contains	contain	VERB
cjfa-8205	503	34	cash	cash	NOUN
cjfa-8205	503	35	flow	flow	NOUN
cjfa-8205	503	36	with	with	ADP
cjfa-8205	503	37	weak	weak	ADJ
cjfa-8205	503	38	mixed	mixed	ADJ
cjfa-8205	503	39	(	(	PUNCT
cjfa-8205	503	40	weekly	weekly	ADJ
cjfa-8205	503	41	and	and	CCONJ
cjfa-8205	503	42	monthly	monthly	ADJ
cjfa-8205	503	43	)	)	PUNCT
cjfa-8205	503	44	seasonality	seasonality	NOUN
cjfa-8205	503	45	,	,	PUNCT
cjfa-8205	503	46	increasing	increase	VERB
cjfa-8205	503	47	trend	trend	NOUN
cjfa-8205	503	48	and	and	CCONJ
cjfa-8205	503	49	heteroscedasticity	heteroscedasticity	NOUN
cjfa-8205	503	50	factors	factor	NOUN
cjfa-8205	503	51	with	with	ADP
cjfa-8205	503	52	permanent	permanent	ADJ
cjfa-8205	503	53	structural	structural	ADJ
cjfa-8205	503	54	break	break	NOUN
cjfa-8205	503	55	factor	factor	NOUN
cjfa-8205	503	56	(	(	PUNCT
cjfa-8205	503	57	sudden	sudden	ADJ
cjfa-8205	503	58	cash	cash	NOUN
cjfa-8205	503	59	flow	flow	NOUN
cjfa-8205	503	60	break	break	NOUN
cjfa-8205	503	61	when	when	SCONJ
cjfa-8205	503	62	atm	atm	NOUN
cjfa-8205	503	63	cash	cash	NOUN
cjfa-8205	503	64	flow	flow	NOUN
cjfa-8205	503	65	decreases	decrease	VERB
cjfa-8205	503	66	)	)	PUNCT
cjfa-8205	503	67	;	;	PUNCT
cjfa-8205	503	68			NOUN
cjfa-8205	503	69	atm	atm	ADJ
cjfa-8205	503	70	number	number	NOUN
cjfa-8205	503	71	6	6	NUM
cjfa-8205	503	72	contains	contain	VERB
cjfa-8205	503	73	cash	cash	NOUN
cjfa-8205	503	74	flow	flow	NOUN
cjfa-8205	503	75	with	with	ADP
cjfa-8205	503	76	mixed	mixed	ADJ
cjfa-8205	503	77	(	(	PUNCT
cjfa-8205	503	78	weekly	weekly	ADJ
cjfa-8205	503	79	and	and	CCONJ
cjfa-8205	503	80	monthly	monthly	ADJ
cjfa-8205	503	81	)	)	PUNCT
cjfa-8205	503	82	seasonality	seasonality	NOUN
cjfa-8205	503	83	and	and	CCONJ
cjfa-8205	503	84	permanent	permanent	ADJ
cjfa-8205	503	85	structural	structural	ADJ
cjfa-8205	503	86	break	break	NOUN
cjfa-8205	503	87	factors	factor	NOUN
cjfa-8205	503	88	(	(	PUNCT
cjfa-8205	503	89	sudden	sudden	ADJ
cjfa-8205	503	90	cash	cash	NOUN
cjfa-8205	503	91	flow	flow	NOUN
cjfa-8205	503	92	break	break	NOUN
cjfa-8205	503	93	when	when	SCONJ
cjfa-8205	503	94	atm	atm	NOUN
cjfa-8205	503	95	cash	cash	NOUN
cjfa-8205	503	96	flow	flow	NOUN
cjfa-8205	503	97	increases	increase	NOUN
cjfa-8205	503	98	)	)	PUNCT
cjfa-8205	503	99	;	;	PUNCT
cjfa-8205	503	100			NOUN
cjfa-8205	503	101	atm	atm	AUX
cjfa-8205	503	102	number	number	NOUN
cjfa-8205	503	103	7	7	NUM
cjfa-8205	503	104	contains	contain	VERB
cjfa-8205	503	105	cash	cash	NOUN
cjfa-8205	503	106	flow	flow	NOUN
cjfa-8205	503	107	with	with	ADP
cjfa-8205	503	108	weekly	weekly	ADJ
cjfa-8205	503	109	seasonality	seasonality	NOUN
cjfa-8205	503	110	and	and	CCONJ
cjfa-8205	503	111	temporal	temporal	ADJ
cjfa-8205	503	112	structural	structural	ADJ
cjfa-8205	503	113	break	break	NOUN
cjfa-8205	503	114	factors	factor	NOUN
cjfa-8205	503	115	(	(	PUNCT
cjfa-8205	503	116	sudden	sudden	ADJ
cjfa-8205	503	117	cash	cash	NOUN
cjfa-8205	503	118	flow	flow	NOUN
cjfa-8205	503	119	break	break	NOUN
cjfa-8205	503	120	when	when	SCONJ
cjfa-8205	503	121	atm	atm	NOUN
cjfa-8205	503	122	cash	cash	NOUN
cjfa-8205	503	123	flow	flow	NOUN
cjfa-8205	503	124	decreases	decrease	NOUN
cjfa-8205	503	125	and	and	CCONJ
cjfa-8205	503	126	again	again	ADV
cjfa-8205	503	127	increases	increase	VERB
cjfa-8205	503	128	to	to	ADP
cjfa-8205	503	129	normal	normal	ADJ
cjfa-8205	503	130	cash	cash	NOUN
cjfa-8205	503	131	flow	flow	NOUN
cjfa-8205	503	132	level	level	NOUN
cjfa-8205	503	133	after	after	ADP
cjfa-8205	503	134	some	some	DET
cjfa-8205	503	135	period	period	NOUN
cjfa-8205	503	136	)	)	PUNCT
cjfa-8205	503	137	;	;	PUNCT
cjfa-8205	503	138			NOUN
cjfa-8205	503	139	atm	atm	ADJ
cjfa-8205	503	140	number	number	NOUN
cjfa-8205	503	141	8	8	NUM
cjfa-8205	503	142	contains	contain	VERB
cjfa-8205	503	143	cash	cash	NOUN
cjfa-8205	503	144	flow	flow	NOUN
cjfa-8205	503	145	with	with	ADP
cjfa-8205	503	146	weekly	weekly	ADJ
cjfa-8205	503	147	seasonality	seasonality	NOUN
cjfa-8205	503	148	,	,	PUNCT
cjfa-8205	503	149	increasing	increase	VERB
cjfa-8205	503	150	trend	trend	NOUN
cjfa-8205	503	151	and	and	CCONJ
cjfa-8205	503	152	heteroscedasticity	heteroscedasticity	NOUN
cjfa-8205	503	153	factors	factor	NOUN
cjfa-8205	503	154	.	.	PUNCT
cjfa-8205	504	1	cash	cash	NOUN
cjfa-8205	504	2	flow	flow	NOUN
cjfa-8205	504	3	pictures	picture	NOUN
cjfa-8205	504	4	together	together	ADV
cjfa-8205	504	5	with	with	ADP
cjfa-8205	504	6	autocorrelation	autocorrelation	NOUN
cjfa-8205	504	7	functions	function	NOUN
cjfa-8205	504	8	are	be	AUX
cjfa-8205	504	9	presented	present	VERB
cjfa-8205	504	10	in	in	ADP
cjfa-8205	504	11	appendix	appendix	NOUN
cjfa-8205	504	12	for	for	ADP
cjfa-8205	504	13	every	every	DET
cjfa-8205	504	14	atm	atm	NOUN
cjfa-8205	504	15	.	.	PUNCT
cjfa-8205	505	1	methodology	methodology	NOUN
cjfa-8205	505	2	in	in	ADP
cjfa-8205	505	3	order	order	NOUN
cjfa-8205	505	4	to	to	PART
cjfa-8205	505	5	evaluate	evaluate	VERB
cjfa-8205	505	6	forecasting	forecasting	NOUN
cjfa-8205	505	7	accuracy	accuracy	NOUN
cjfa-8205	505	8	a	a	DET
cjfa-8205	505	9	specific	specific	ADJ
cjfa-8205	505	10	metric	metric	NOUN
cjfa-8205	505	11	is	be	AUX
cjfa-8205	505	12	needed	need	VERB
cjfa-8205	505	13	.	.	PUNCT
cjfa-8205	506	1	in	in	ADP
cjfa-8205	506	2	this	this	DET
cjfa-8205	506	3	research	research	NOUN
cjfa-8205	506	4	forecasting	forecasting	NOUN
cjfa-8205	506	5	accuracy	accuracy	NOUN
cjfa-8205	506	6	metric	metric	NOUN
cjfa-8205	506	7	called	call	VERB
cjfa-8205	506	8	symmetric	symmetric	ADJ
cjfa-8205	506	9	mean	mean	VERB
cjfa-8205	506	10	absolute	absolute	ADJ
cjfa-8205	506	11	percentage	percentage	NOUN
cjfa-8205	506	12	error	error	NOUN
cjfa-8205	506	13	(	(	PUNCT
cjfa-8205	506	14	smape	smape	NOUN
cjfa-8205	506	15	)	)	PUNCT
cjfa-8205	506	16	is	be	AUX
cjfa-8205	506	17	used	use	VERB
cjfa-8205	506	18	which	which	PRON
cjfa-8205	506	19	is	be	AUX
cjfa-8205	506	20	calculated	calculate	VERB
cjfa-8205	506	21	with	with	ADP
cjfa-8205	506	22	following	follow	VERB
cjfa-8205	506	23	formula	formula	NOUN
cjfa-8205	506	24	:	:	PUNCT
cjfa-8205	506	25	�	�	PROPN
cjfa-8205	506	26	�	�	PROPN
cjfa-8205	506	27	�	�	PROPN
cjfa-8205	506	28	�	�	PROPN
cjfa-8205	506	29	�	�	PROPN
cjfa-8205	506	30	�	�	PROPN
cjfa-8205	506	31	100	100	NUM
cjfa-8205	506	32	�	�	PROPN
cjfa-8205	506	33	�	�	PROPN
cjfa-8205	506	34	|	|	NOUN
cjfa-8205	506	35	�	�	PROPN
cjfa-8205	506	36	�	�	PROPN
cjfa-8205	506	37	�	�	PROPN
cjfa-8205	506	38	�	�	PROPN
cjfa-8205	506	39	�	�	PROPN
cjfa-8205	506	40	�	�	PROPN
cjfa-8205	506	41	|	|	ADV
cjfa-8205	506	42	1	1	NUM
cjfa-8205	506	43	2	2	NUM
cjfa-8205	506	44	�	�	PROPN
cjfa-8205	506	45	�	�	PROPN
cjfa-8205	506	46	�	�	PROPN
cjfa-8205	506	47	�	�	PROPN
cjfa-8205	506	48	�	�	PROPN
cjfa-8205	506	49	�	�	PROPN
cjfa-8205	506	50	�	�	PROPN
cjfa-8205	506	51	�	�	PROPN
cjfa-8205	506	52	�	�	PROPN
cjfa-8205	506	53	�	�	PROPN
cjfa-8205	506	54	�	�	PROPN
cjfa-8205	506	55	�	�	PROPN
cjfa-8205	506	56	.	.	PUNCT
cjfa-8205	507	1	where	where	SCONJ
cjfa-8205	507	2	�	�	PROPN
cjfa-8205	507	3	�	�	PROPN
cjfa-8205	507	4	�	�	PROPN
cjfa-8205	507	5	is	be	AUX
cjfa-8205	507	6	forecasted	forecast	VERB
cjfa-8205	507	7	cash	cash	NOUN
cjfa-8205	507	8	flow	flow	NOUN
cjfa-8205	507	9	value	value	NOUN
cjfa-8205	507	10	and	and	CCONJ
cjfa-8205	507	11	�	�	PROPN
cjfa-8205	507	12	�	�	PROPN
cjfa-8205	507	13	is	be	AUX
cjfa-8205	507	14	real	real	ADJ
cjfa-8205	507	15	cash	cash	NOUN
cjfa-8205	507	16	flow	flow	NOUN
cjfa-8205	507	17	value	value	NOUN
cjfa-8205	507	18	.	.	PUNCT
cjfa-8205	508	1	forecasting	forecasting	NOUN
cjfa-8205	508	2	is	be	AUX
cjfa-8205	508	3	performed	perform	VERB
cjfa-8205	508	4	by	by	ADP
cjfa-8205	508	5	training	training	NOUN
cjfa-8205	508	6	model	model	NOUN
cjfa-8205	508	7	with	with	ADP
cjfa-8205	508	8	one	one	NUM
cjfa-8205	508	9	part	part	NOUN
cjfa-8205	508	10	of	of	ADP
cjfa-8205	508	11	historical	historical	ADJ
cjfa-8205	508	12	cash	cash	NOUN
cjfa-8205	508	13	flow	flow	NOUN
cjfa-8205	508	14	dataset	dataset	VERB
cjfa-8205	508	15	once	once	ADV
cjfa-8205	508	16	and	and	CCONJ
cjfa-8205	508	17	testing	testing	NOUN
cjfa-8205	508	18	(	(	PUNCT
cjfa-8205	508	19	forecasting	forecasting	NOUN
cjfa-8205	508	20	accuracy	accuracy	NOUN
cjfa-8205	508	21	evaluation	evaluation	NOUN
cjfa-8205	508	22	)	)	PUNCT
cjfa-8205	508	23	is	be	AUX
cjfa-8205	508	24	done	do	VERB
cjfa-8205	508	25	with	with	ADP
cjfa-8205	508	26	another	another	DET
cjfa-8205	508	27	part	part	NOUN
cjfa-8205	508	28	of	of	ADP
cjfa-8205	508	29	historical	historical	ADJ
cjfa-8205	508	30	cash	cash	NOUN
cjfa-8205	508	31	flow	flow	NOUN
cjfa-8205	508	32	dataset	dataset	NOUN
cjfa-8205	508	33	.	.	PUNCT
cjfa-8205	509	1	four	four	NUM
cjfa-8205	509	2	cases	case	NOUN
cjfa-8205	509	3	of	of	ADP
cjfa-8205	509	4	training	training	NOUN
cjfa-8205	509	5	for	for	ADP
cjfa-8205	509	6	every	every	DET
cjfa-8205	509	7	atm	atm	NOUN
cjfa-8205	509	8	are	be	AUX
cjfa-8205	509	9	performed	perform	VERB
cjfa-8205	509	10	(	(	PUNCT
cjfa-8205	509	11	figure	figure	NOUN
cjfa-8205	509	12	4	4	NUM
cjfa-8205	509	13	):	):	PUNCT
cjfa-8205	509	14	1	1	X
cjfa-8205	509	15	)	)	PUNCT
cjfa-8205	509	16	models	model	NOUN
cjfa-8205	509	17	are	be	AUX
cjfa-8205	509	18	trained	train	VERB
cjfa-8205	509	19	with	with	ADP
cjfa-8205	509	20	2	2	NUM
cjfa-8205	509	21	year	year	NOUN
cjfa-8205	509	22	(	(	PUNCT
cjfa-8205	509	23	or	or	CCONJ
cjfa-8205	509	24	800	800	NUM
cjfa-8205	509	25	days	day	NOUN
cjfa-8205	509	26	for	for	ADP
cjfa-8205	509	27	some	some	DET
cjfa-8205	509	28	atms	atms	NOUN
cjfa-8205	509	29	)	)	PUNCT
cjfa-8205	509	30	historical	historical	ADJ
cjfa-8205	509	31	period	period	NOUN
cjfa-8205	509	32	;	;	PUNCT
cjfa-8205	510	1	2	2	X
cjfa-8205	510	2	)	)	PUNCT
cjfa-8205	510	3	models	model	NOUN
cjfa-8205	510	4	are	be	AUX
cjfa-8205	510	5	trained	train	VERB
cjfa-8205	510	6	with	with	ADP
cjfa-8205	510	7	1.5	1.5	NUM
cjfa-8205	510	8	year	year	NOUN
cjfa-8205	510	9	(	(	PUNCT
cjfa-8205	510	10	or	or	CCONJ
cjfa-8205	510	11	400	400	NUM
cjfa-8205	510	12	days	day	NOUN
cjfa-8205	510	13	for	for	ADP
cjfa-8205	510	14	some	some	DET
cjfa-8205	510	15	atms	atms	NOUN
cjfa-8205	510	16	)	)	PUNCT
cjfa-8205	510	17	historical	historical	ADJ
cjfa-8205	510	18	period	period	NOUN
cjfa-8205	510	19	;	;	PUNCT
cjfa-8205	510	20	3	3	X
cjfa-8205	510	21	)	)	PUNCT
cjfa-8205	510	22	models	model	NOUN
cjfa-8205	510	23	are	be	AUX
cjfa-8205	510	24	trained	train	VERB
cjfa-8205	510	25	with	with	ADP
cjfa-8205	510	26	1	1	NUM
cjfa-8205	510	27	year	year	NOUN
cjfa-8205	510	28	(	(	PUNCT
cjfa-8205	510	29	or	or	CCONJ
cjfa-8205	510	30	200	200	NUM
cjfa-8205	510	31	days	day	NOUN
cjfa-8205	510	32	for	for	ADP
cjfa-8205	510	33	some	some	DET
cjfa-8205	510	34	atms	atms	NOUN
cjfa-8205	510	35	)	)	PUNCT
cjfa-8205	510	36	historical	historical	ADJ
cjfa-8205	510	37	period	period	NOUN
cjfa-8205	510	38	;	;	PUNCT
cjfa-8205	510	39	4	4	X
cjfa-8205	510	40	)	)	PUNCT
cjfa-8205	510	41	models	model	NOUN
cjfa-8205	510	42	are	be	AUX
cjfa-8205	510	43	trained	train	VERB
cjfa-8205	510	44	with	with	ADP
cjfa-8205	510	45	0.5	0.5	NUM
cjfa-8205	510	46	year	year	NOUN
cjfa-8205	510	47	(	(	PUNCT
cjfa-8205	510	48	or	or	CCONJ
cjfa-8205	510	49	100	100	NUM
cjfa-8205	510	50	days	day	NOUN
cjfa-8205	510	51	for	for	ADP
cjfa-8205	510	52	some	some	DET
cjfa-8205	510	53	atms	atms	NOUN
cjfa-8205	510	54	)	)	PUNCT
cjfa-8205	510	55	historical	historical	ADJ
cjfa-8205	510	56	period	period	NOUN
cjfa-8205	510	57	.	.	PUNCT
cjfa-8205	511	1	but	but	CCONJ
cjfa-8205	511	2	for	for	ADP
cjfa-8205	511	3	testing	testing	NOUN
cjfa-8205	511	4	,	,	PUNCT
cjfa-8205	511	5	same	same	ADJ
cjfa-8205	511	6	amount	amount	NOUN
cjfa-8205	511	7	of	of	ADP
cjfa-8205	511	8	data	datum	NOUN
cjfa-8205	511	9	is	be	AUX
cjfa-8205	511	10	used	use	VERB
cjfa-8205	511	11	for	for	ADP
cjfa-8205	511	12	every	every	DET
cjfa-8205	511	13	training	training	NOUN
cjfa-8205	511	14	case	case	NOUN
cjfa-8205	511	15	.	.	PUNCT
cjfa-8205	512	1	is	be	AUX
cjfa-8205	512	2	forecasted	forecast	VERB
cjfa-8205	512	3	cash	cash	NOUN
cjfa-8205	512	4	flow	flow	NOUN
cjfa-8205	512	5	value	value	NOUN
cjfa-8205	512	6	and	and	CCONJ
cjfa-8205	512	7			NOUN
cjfa-8205	512	8	atm	atm	ADJ
cjfa-8205	512	9	number	number	NOUN
cjfa-8205	512	10	4	4	NUM
cjfa-8205	512	11	contains	contain	VERB
cjfa-8205	512	12	cash	cash	NOUN
cjfa-8205	512	13	flow	flow	NOUN
cjfa-8205	512	14	with	with	ADP
cjfa-8205	512	15	strong	strong	ADJ
cjfa-8205	512	16	yearly	yearly	ADJ
cjfa-8205	512	17	and	and	CCONJ
cjfa-8205	512	18	weekly	weekly	ADJ
cjfa-8205	512	19	seasonality	seasonality	NOUN
cjfa-8205	512	20	factors	factor	NOUN
cjfa-8205	512	21	,	,	PUNCT
cjfa-8205	512	22	when	when	SCONJ
cjfa-8205	512	23	yearly	yearly	ADJ
cjfa-8205	512	24	seasonality	seasonality	NOUN
cjfa-8205	512	25	is	be	AUX
cjfa-8205	512	26	not	not	PART
cjfa-8205	512	27	smooth	smooth	ADJ
cjfa-8205	512	28	(	(	PUNCT
cjfa-8205	512	29	temporal	temporal	ADJ
cjfa-8205	512	30	structural	structural	ADJ
cjfa-8205	512	31	breaks	break	NOUN
cjfa-8205	512	32	)	)	PUNCT
cjfa-8205	512	33	;	;	PUNCT
cjfa-8205	512	34			NOUN
cjfa-8205	512	35	atm	atm	ADJ
cjfa-8205	512	36	number	number	NOUN
cjfa-8205	512	37	5	5	NUM
cjfa-8205	512	38	contains	contain	VERB
cjfa-8205	512	39	cash	cash	NOUN
cjfa-8205	512	40	flow	flow	NOUN
cjfa-8205	512	41	with	with	ADP
cjfa-8205	512	42	weak	weak	ADJ
cjfa-8205	512	43	mixed	mixed	ADJ
cjfa-8205	512	44	(	(	PUNCT
cjfa-8205	512	45	weekly	weekly	ADJ
cjfa-8205	512	46	and	and	CCONJ
cjfa-8205	512	47	monthly	monthly	ADJ
cjfa-8205	512	48	)	)	PUNCT
cjfa-8205	512	49	seasonality	seasonality	NOUN
cjfa-8205	512	50	,	,	PUNCT
cjfa-8205	512	51	increasing	increase	VERB
cjfa-8205	512	52	trend	trend	NOUN
cjfa-8205	512	53	and	and	CCONJ
cjfa-8205	512	54	heteroscedasticity	heteroscedasticity	NOUN
cjfa-8205	512	55	factors	factor	NOUN
cjfa-8205	512	56	with	with	ADP
cjfa-8205	512	57	permanent	permanent	ADJ
cjfa-8205	512	58	structural	structural	ADJ
cjfa-8205	512	59	break	break	NOUN
cjfa-8205	512	60	factor	factor	NOUN
cjfa-8205	512	61	(	(	PUNCT
cjfa-8205	512	62	sudden	sudden	ADJ
cjfa-8205	512	63	cash	cash	NOUN
cjfa-8205	512	64	flow	flow	NOUN
cjfa-8205	512	65	break	break	NOUN
cjfa-8205	512	66	when	when	SCONJ
cjfa-8205	512	67	atm	atm	NOUN
cjfa-8205	512	68	cash	cash	NOUN
cjfa-8205	512	69	flow	flow	NOUN
cjfa-8205	512	70	decreases	decrease	VERB
cjfa-8205	512	71	)	)	PUNCT
cjfa-8205	512	72	;	;	PUNCT
cjfa-8205	512	73			NOUN
cjfa-8205	512	74	atm	atm	ADJ
cjfa-8205	512	75	number	number	NOUN
cjfa-8205	512	76	6	6	NUM
cjfa-8205	512	77	contains	contain	VERB
cjfa-8205	512	78	cash	cash	NOUN
cjfa-8205	512	79	flow	flow	NOUN
cjfa-8205	512	80	with	with	ADP
cjfa-8205	512	81	mixed	mixed	ADJ
cjfa-8205	512	82	(	(	PUNCT
cjfa-8205	512	83	weekly	weekly	ADJ
cjfa-8205	512	84	and	and	CCONJ
cjfa-8205	512	85	monthly	monthly	ADJ
cjfa-8205	512	86	)	)	PUNCT
cjfa-8205	512	87	seasonality	seasonality	NOUN
cjfa-8205	512	88	and	and	CCONJ
cjfa-8205	512	89	permanent	permanent	ADJ
cjfa-8205	512	90	structural	structural	ADJ
cjfa-8205	512	91	break	break	NOUN
cjfa-8205	512	92	factors	factor	NOUN
cjfa-8205	512	93	(	(	PUNCT
cjfa-8205	512	94	sudden	sudden	ADJ
cjfa-8205	512	95	cash	cash	NOUN
cjfa-8205	512	96	flow	flow	NOUN
cjfa-8205	512	97	break	break	NOUN
cjfa-8205	512	98	when	when	SCONJ
cjfa-8205	512	99	atm	atm	NOUN
cjfa-8205	512	100	cash	cash	NOUN
cjfa-8205	512	101	flow	flow	NOUN
cjfa-8205	512	102	increases	increase	NOUN
cjfa-8205	512	103	)	)	PUNCT
cjfa-8205	512	104	;	;	PUNCT
cjfa-8205	512	105			NOUN
cjfa-8205	512	106	atm	atm	AUX
cjfa-8205	512	107	number	number	NOUN
cjfa-8205	512	108	7	7	NUM
cjfa-8205	512	109	contains	contain	VERB
cjfa-8205	512	110	cash	cash	NOUN
cjfa-8205	512	111	flow	flow	NOUN
cjfa-8205	512	112	with	with	ADP
cjfa-8205	512	113	weekly	weekly	ADJ
cjfa-8205	512	114	seasonality	seasonality	NOUN
cjfa-8205	512	115	and	and	CCONJ
cjfa-8205	512	116	temporal	temporal	ADJ
cjfa-8205	512	117	structural	structural	ADJ
cjfa-8205	512	118	break	break	NOUN
cjfa-8205	512	119	factors	factor	NOUN
cjfa-8205	512	120	(	(	PUNCT
cjfa-8205	512	121	sudden	sudden	ADJ
cjfa-8205	512	122	cash	cash	NOUN
cjfa-8205	512	123	flow	flow	NOUN
cjfa-8205	512	124	break	break	NOUN
cjfa-8205	512	125	when	when	SCONJ
cjfa-8205	512	126	atm	atm	NOUN
cjfa-8205	512	127	cash	cash	NOUN
cjfa-8205	512	128	flow	flow	NOUN
cjfa-8205	512	129	decreases	decrease	NOUN
cjfa-8205	512	130	and	and	CCONJ
cjfa-8205	512	131	again	again	ADV
cjfa-8205	512	132	increases	increase	VERB
cjfa-8205	512	133	to	to	ADP
cjfa-8205	512	134	normal	normal	ADJ
cjfa-8205	512	135	cash	cash	NOUN
cjfa-8205	512	136	flow	flow	NOUN
cjfa-8205	512	137	level	level	NOUN
cjfa-8205	512	138	after	after	ADP
cjfa-8205	512	139	some	some	DET
cjfa-8205	512	140	period	period	NOUN
cjfa-8205	512	141	)	)	PUNCT
cjfa-8205	512	142	;	;	PUNCT
cjfa-8205	512	143			NOUN
cjfa-8205	512	144	atm	atm	ADJ
cjfa-8205	512	145	number	number	NOUN
cjfa-8205	512	146	8	8	NUM
cjfa-8205	512	147	contains	contain	VERB
cjfa-8205	512	148	cash	cash	NOUN
cjfa-8205	512	149	flow	flow	NOUN
cjfa-8205	512	150	with	with	ADP
cjfa-8205	512	151	weekly	weekly	ADJ
cjfa-8205	512	152	seasonality	seasonality	NOUN
cjfa-8205	512	153	,	,	PUNCT
cjfa-8205	512	154	increasing	increase	VERB
cjfa-8205	512	155	trend	trend	NOUN
cjfa-8205	512	156	and	and	CCONJ
cjfa-8205	512	157	heteroscedasticity	heteroscedasticity	NOUN
cjfa-8205	512	158	factors	factor	NOUN
cjfa-8205	512	159	.	.	PUNCT
cjfa-8205	513	1	cash	cash	NOUN
cjfa-8205	513	2	flow	flow	NOUN
cjfa-8205	513	3	pictures	picture	NOUN
cjfa-8205	513	4	together	together	ADV
cjfa-8205	513	5	with	with	ADP
cjfa-8205	513	6	autocorrelation	autocorrelation	NOUN
cjfa-8205	513	7	functions	function	NOUN
cjfa-8205	513	8	are	be	AUX
cjfa-8205	513	9	presented	present	VERB
cjfa-8205	513	10	in	in	ADP
cjfa-8205	513	11	appendix	appendix	NOUN
cjfa-8205	513	12	for	for	ADP
cjfa-8205	513	13	every	every	DET
cjfa-8205	513	14	atm	atm	NOUN
cjfa-8205	513	15	.	.	PUNCT
cjfa-8205	514	1	methodology	methodology	NOUN
cjfa-8205	514	2	in	in	ADP
cjfa-8205	514	3	order	order	NOUN
cjfa-8205	514	4	to	to	PART
cjfa-8205	514	5	evaluate	evaluate	VERB
cjfa-8205	514	6	forecasting	forecasting	NOUN
cjfa-8205	514	7	accuracy	accuracy	NOUN
cjfa-8205	514	8	a	a	DET
cjfa-8205	514	9	specific	specific	ADJ
cjfa-8205	514	10	metric	metric	NOUN
cjfa-8205	514	11	is	be	AUX
cjfa-8205	514	12	needed	need	VERB
cjfa-8205	514	13	.	.	PUNCT
cjfa-8205	515	1	in	in	ADP
cjfa-8205	515	2	this	this	DET
cjfa-8205	515	3	research	research	NOUN
cjfa-8205	515	4	forecasting	forecasting	NOUN
cjfa-8205	515	5	accuracy	accuracy	NOUN
cjfa-8205	515	6	metric	metric	NOUN
cjfa-8205	515	7	called	call	VERB
cjfa-8205	515	8	symmetric	symmetric	ADJ
cjfa-8205	515	9	mean	mean	VERB
cjfa-8205	515	10	absolute	absolute	ADJ
cjfa-8205	515	11	percentage	percentage	NOUN
cjfa-8205	515	12	error	error	NOUN
cjfa-8205	515	13	(	(	PUNCT
cjfa-8205	515	14	smape	smape	NOUN
cjfa-8205	515	15	)	)	PUNCT
cjfa-8205	515	16	is	be	AUX
cjfa-8205	515	17	used	use	VERB
cjfa-8205	515	18	which	which	PRON
cjfa-8205	515	19	is	be	AUX
cjfa-8205	515	20	calculated	calculate	VERB
cjfa-8205	515	21	with	with	ADP
cjfa-8205	515	22	following	follow	VERB
cjfa-8205	515	23	formula	formula	NOUN
cjfa-8205	515	24	:	:	PUNCT
cjfa-8205	515	25	�	�	PROPN
cjfa-8205	515	26	�	�	PROPN
cjfa-8205	515	27	�	�	PROPN
cjfa-8205	515	28	�	�	PROPN
cjfa-8205	515	29	�	�	PROPN
cjfa-8205	515	30	�	�	PROPN
cjfa-8205	515	31	100	100	NUM
cjfa-8205	515	32	�	�	PROPN
cjfa-8205	515	33	�	�	PROPN
cjfa-8205	515	34	|	|	NOUN
cjfa-8205	515	35	�	�	PROPN
cjfa-8205	515	36	�	�	PROPN
cjfa-8205	515	37	�	�	PROPN
cjfa-8205	515	38	�	�	PROPN
cjfa-8205	515	39	�	�	PROPN
cjfa-8205	515	40	�	�	PROPN
cjfa-8205	515	41	|	|	ADV
cjfa-8205	515	42	1	1	NUM
cjfa-8205	515	43	2	2	NUM
cjfa-8205	515	44	�	�	PROPN
cjfa-8205	515	45	�	�	PROPN
cjfa-8205	515	46	�	�	PROPN
cjfa-8205	515	47	�	�	PROPN
cjfa-8205	515	48	�	�	PROPN
cjfa-8205	515	49	�	�	PROPN
cjfa-8205	515	50	�	�	PROPN
cjfa-8205	515	51	�	�	PROPN
cjfa-8205	515	52	�	�	PROPN
cjfa-8205	515	53	�	�	PROPN
cjfa-8205	515	54	�	�	PROPN
cjfa-8205	515	55	�	�	PROPN
cjfa-8205	515	56	.	.	PUNCT
cjfa-8205	516	1	where	where	SCONJ
cjfa-8205	516	2	�	�	PROPN
cjfa-8205	516	3	�	�	PROPN
cjfa-8205	516	4	�	�	PROPN
cjfa-8205	516	5	is	be	AUX
cjfa-8205	516	6	forecasted	forecast	VERB
cjfa-8205	516	7	cash	cash	NOUN
cjfa-8205	516	8	flow	flow	NOUN
cjfa-8205	516	9	value	value	NOUN
cjfa-8205	516	10	and	and	CCONJ
cjfa-8205	516	11	�	�	PROPN
cjfa-8205	516	12	�	�	PROPN
cjfa-8205	516	13	is	be	AUX
cjfa-8205	516	14	real	real	ADJ
cjfa-8205	516	15	cash	cash	NOUN
cjfa-8205	516	16	flow	flow	NOUN
cjfa-8205	516	17	value	value	NOUN
cjfa-8205	516	18	.	.	PUNCT
cjfa-8205	517	1	forecasting	forecasting	NOUN
cjfa-8205	517	2	is	be	AUX
cjfa-8205	517	3	performed	perform	VERB
cjfa-8205	517	4	by	by	ADP
cjfa-8205	517	5	training	training	NOUN
cjfa-8205	517	6	model	model	NOUN
cjfa-8205	517	7	with	with	ADP
cjfa-8205	517	8	one	one	NUM
cjfa-8205	517	9	part	part	NOUN
cjfa-8205	517	10	of	of	ADP
cjfa-8205	517	11	historical	historical	ADJ
cjfa-8205	517	12	cash	cash	NOUN
cjfa-8205	517	13	flow	flow	NOUN
cjfa-8205	517	14	dataset	dataset	VERB
cjfa-8205	517	15	once	once	ADV
cjfa-8205	517	16	and	and	CCONJ
cjfa-8205	517	17	testing	testing	NOUN
cjfa-8205	517	18	(	(	PUNCT
cjfa-8205	517	19	forecasting	forecasting	NOUN
cjfa-8205	517	20	accuracy	accuracy	NOUN
cjfa-8205	517	21	evaluation	evaluation	NOUN
cjfa-8205	517	22	)	)	PUNCT
cjfa-8205	517	23	is	be	AUX
cjfa-8205	517	24	done	do	VERB
cjfa-8205	517	25	with	with	ADP
cjfa-8205	517	26	another	another	DET
cjfa-8205	517	27	part	part	NOUN
cjfa-8205	517	28	of	of	ADP
cjfa-8205	517	29	historical	historical	ADJ
cjfa-8205	517	30	cash	cash	NOUN
cjfa-8205	517	31	flow	flow	NOUN
cjfa-8205	517	32	dataset	dataset	NOUN
cjfa-8205	517	33	.	.	PUNCT
cjfa-8205	518	1	four	four	NUM
cjfa-8205	518	2	cases	case	NOUN
cjfa-8205	518	3	of	of	ADP
cjfa-8205	518	4	training	training	NOUN
cjfa-8205	518	5	for	for	ADP
cjfa-8205	518	6	every	every	DET
cjfa-8205	518	7	atm	atm	NOUN
cjfa-8205	518	8	are	be	AUX
cjfa-8205	518	9	performed	perform	VERB
cjfa-8205	518	10	(	(	PUNCT
cjfa-8205	518	11	figure	figure	NOUN
cjfa-8205	518	12	4	4	NUM
cjfa-8205	518	13	):	):	PUNCT
cjfa-8205	518	14	1	1	X
cjfa-8205	518	15	)	)	PUNCT
cjfa-8205	518	16	models	model	NOUN
cjfa-8205	518	17	are	be	AUX
cjfa-8205	518	18	trained	train	VERB
cjfa-8205	518	19	with	with	ADP
cjfa-8205	518	20	2	2	NUM
cjfa-8205	518	21	year	year	NOUN
cjfa-8205	518	22	(	(	PUNCT
cjfa-8205	518	23	or	or	CCONJ
cjfa-8205	518	24	800	800	NUM
cjfa-8205	518	25	days	day	NOUN
cjfa-8205	518	26	for	for	ADP
cjfa-8205	518	27	some	some	DET
cjfa-8205	518	28	atms	atms	NOUN
cjfa-8205	518	29	)	)	PUNCT
cjfa-8205	518	30	historical	historical	ADJ
cjfa-8205	518	31	period	period	NOUN
cjfa-8205	518	32	;	;	PUNCT
cjfa-8205	519	1	2	2	X
cjfa-8205	519	2	)	)	PUNCT
cjfa-8205	519	3	models	model	NOUN
cjfa-8205	519	4	are	be	AUX
cjfa-8205	519	5	trained	train	VERB
cjfa-8205	519	6	with	with	ADP
cjfa-8205	519	7	1.5	1.5	NUM
cjfa-8205	519	8	year	year	NOUN
cjfa-8205	519	9	(	(	PUNCT
cjfa-8205	519	10	or	or	CCONJ
cjfa-8205	519	11	400	400	NUM
cjfa-8205	519	12	days	day	NOUN
cjfa-8205	519	13	for	for	ADP
cjfa-8205	519	14	some	some	DET
cjfa-8205	519	15	atms	atms	NOUN
cjfa-8205	519	16	)	)	PUNCT
cjfa-8205	519	17	historical	historical	ADJ
cjfa-8205	519	18	period	period	NOUN
cjfa-8205	519	19	;	;	PUNCT
cjfa-8205	519	20	3	3	X
cjfa-8205	519	21	)	)	PUNCT
cjfa-8205	519	22	models	model	NOUN
cjfa-8205	519	23	are	be	AUX
cjfa-8205	519	24	trained	train	VERB
cjfa-8205	519	25	with	with	ADP
cjfa-8205	519	26	1	1	NUM
cjfa-8205	519	27	year	year	NOUN
cjfa-8205	519	28	(	(	PUNCT
cjfa-8205	519	29	or	or	CCONJ
cjfa-8205	519	30	200	200	NUM
cjfa-8205	519	31	days	day	NOUN
cjfa-8205	519	32	for	for	ADP
cjfa-8205	519	33	some	some	DET
cjfa-8205	519	34	atms	atms	NOUN
cjfa-8205	519	35	)	)	PUNCT
cjfa-8205	519	36	historical	historical	ADJ
cjfa-8205	519	37	period	period	NOUN
cjfa-8205	519	38	;	;	PUNCT
cjfa-8205	519	39	4	4	X
cjfa-8205	519	40	)	)	PUNCT
cjfa-8205	519	41	models	model	NOUN
cjfa-8205	519	42	are	be	AUX
cjfa-8205	519	43	trained	train	VERB
cjfa-8205	519	44	with	with	ADP
cjfa-8205	519	45	0.5	0.5	NUM
cjfa-8205	519	46	year	year	NOUN
cjfa-8205	519	47	(	(	PUNCT
cjfa-8205	519	48	or	or	CCONJ
cjfa-8205	519	49	100	100	NUM
cjfa-8205	519	50	days	day	NOUN
cjfa-8205	519	51	for	for	ADP
cjfa-8205	519	52	some	some	DET
cjfa-8205	519	53	atms	atms	NOUN
cjfa-8205	519	54	)	)	PUNCT
cjfa-8205	519	55	historical	historical	ADJ
cjfa-8205	519	56	period	period	NOUN
cjfa-8205	519	57	.	.	PUNCT
cjfa-8205	520	1	but	but	CCONJ
cjfa-8205	520	2	for	for	ADP
cjfa-8205	520	3	testing	testing	NOUN
cjfa-8205	520	4	,	,	PUNCT
cjfa-8205	520	5	same	same	ADJ
cjfa-8205	520	6	amount	amount	NOUN
cjfa-8205	520	7	of	of	ADP
cjfa-8205	520	8	data	datum	NOUN
cjfa-8205	520	9	is	be	AUX
cjfa-8205	520	10	used	use	VERB
cjfa-8205	520	11	for	for	ADP
cjfa-8205	520	12	every	every	DET
cjfa-8205	520	13	training	training	NOUN
cjfa-8205	520	14	case	case	NOUN
cjfa-8205	520	15	.	.	PUNCT
cjfa-8205	521	1	is	be	AUX
cjfa-8205	521	2	real	real	ADJ
cjfa-8205	521	3	cash	cash	NOUN
cjfa-8205	521	4	flow	flow	NOUN
cjfa-8205	521	5	value	value	NOUN
cjfa-8205	521	6	.	.	PUNCT
cjfa-8205	522	1	forecasting	forecasting	NOUN
cjfa-8205	522	2	is	be	AUX
cjfa-8205	522	3	performed	perform	VERB
cjfa-8205	522	4	by	by	ADP
cjfa-8205	522	5	training	training	NOUN
cjfa-8205	522	6	model	model	NOUN
cjfa-8205	522	7	with	with	ADP
cjfa-8205	522	8	one	one	NUM
cjfa-8205	522	9	part	part	NOUN
cjfa-8205	522	10	of	of	ADP
cjfa-8205	522	11	historical	historical	ADJ
cjfa-8205	522	12	cash	cash	NOUN
cjfa-8205	522	13	flow	flow	NOUN
cjfa-8205	522	14	dataset	dataset	VERB
cjfa-8205	522	15	once	once	ADV
cjfa-8205	522	16	and	and	CCONJ
cjfa-8205	522	17	testing	testing	NOUN
cjfa-8205	522	18	(	(	PUNCT
cjfa-8205	522	19	forecasting	forecasting	NOUN
cjfa-8205	522	20	accuracy	accuracy	NOUN
cjfa-8205	522	21	evaluation	evaluation	NOUN
cjfa-8205	522	22	)	)	PUNCT
cjfa-8205	522	23	is	be	AUX
cjfa-8205	522	24	done	do	VERB
cjfa-8205	522	25	with	with	ADP
cjfa-8205	522	26	another	another	DET
cjfa-8205	522	27	part	part	NOUN
cjfa-8205	522	28	of	of	ADP
cjfa-8205	522	29	historical	historical	ADJ
cjfa-8205	522	30	cash	cash	NOUN
cjfa-8205	522	31	flow	flow	NOUN
cjfa-8205	522	32	dataset	dataset	NOUN
cjfa-8205	522	33	.	.	PUNCT
cjfa-8205	523	1	four	four	NUM
cjfa-8205	523	2	cases	case	NOUN
cjfa-8205	523	3	of	of	ADP
cjfa-8205	523	4	training	training	NOUN
cjfa-8205	523	5	for	for	ADP
cjfa-8205	523	6	every	every	DET
cjfa-8205	523	7	atm	atm	NOUN
cjfa-8205	523	8	are	be	AUX
cjfa-8205	523	9	performed	perform	VERB
cjfa-8205	523	10	(	(	PUNCT
cjfa-8205	523	11	figure	figure	NOUN
cjfa-8205	523	12	4	4	NUM
cjfa-8205	523	13	):	):	PUNCT
cjfa-8205	523	14	1	1	X
cjfa-8205	523	15	)	)	PUNCT
cjfa-8205	523	16	models	model	NOUN
cjfa-8205	523	17	are	be	AUX
cjfa-8205	523	18	trained	train	VERB
cjfa-8205	523	19	with	with	ADP
cjfa-8205	523	20	2	2	NUM
cjfa-8205	523	21	year	year	NOUN
cjfa-8205	523	22	(	(	PUNCT
cjfa-8205	523	23	or	or	CCONJ
cjfa-8205	523	24	800	800	NUM
cjfa-8205	523	25	days	day	NOUN
cjfa-8205	523	26	for	for	ADP
cjfa-8205	523	27	some	some	DET
cjfa-8205	523	28	atms	atms	NOUN
cjfa-8205	523	29	)	)	PUNCT
cjfa-8205	523	30	historical	historical	ADJ
cjfa-8205	523	31	period	period	NOUN
cjfa-8205	523	32	;	;	PUNCT
cjfa-8205	524	1	2	2	X
cjfa-8205	524	2	)	)	PUNCT
cjfa-8205	524	3	models	model	NOUN
cjfa-8205	524	4	are	be	AUX
cjfa-8205	524	5	trained	train	VERB
cjfa-8205	524	6	with	with	ADP
cjfa-8205	524	7	1.5	1.5	NUM
cjfa-8205	524	8	year	year	NOUN
cjfa-8205	524	9	(	(	PUNCT
cjfa-8205	524	10	or	or	CCONJ
cjfa-8205	524	11	400	400	NUM
cjfa-8205	524	12	days	day	NOUN
cjfa-8205	524	13	for	for	ADP
cjfa-8205	524	14	some	some	DET
cjfa-8205	524	15	atms	atms	NOUN
cjfa-8205	524	16	)	)	PUNCT
cjfa-8205	524	17	historical	historical	ADJ
cjfa-8205	524	18	period	period	NOUN
cjfa-8205	524	19	;	;	PUNCT
cjfa-8205	524	20	3	3	X
cjfa-8205	524	21	)	)	PUNCT
cjfa-8205	524	22	models	model	NOUN
cjfa-8205	524	23	are	be	AUX
cjfa-8205	524	24	trained	train	VERB
cjfa-8205	524	25	with	with	ADP
cjfa-8205	524	26	1	1	NUM
cjfa-8205	524	27	year	year	NOUN
cjfa-8205	524	28	(	(	PUNCT
cjfa-8205	524	29	or	or	CCONJ
cjfa-8205	524	30	200	200	NUM
cjfa-8205	524	31	days	day	NOUN
cjfa-8205	524	32	for	for	ADP
cjfa-8205	524	33	some	some	DET
cjfa-8205	524	34	atms	atms	NOUN
cjfa-8205	524	35	)	)	PUNCT
cjfa-8205	524	36	historical	historical	ADJ
cjfa-8205	524	37	period	period	NOUN
cjfa-8205	524	38	;	;	PUNCT
cjfa-8205	524	39	4	4	X
cjfa-8205	524	40	)	)	PUNCT
cjfa-8205	524	41	models	model	NOUN
cjfa-8205	524	42	are	be	AUX
cjfa-8205	524	43	trained	train	VERB
cjfa-8205	524	44	with	with	ADP
cjfa-8205	524	45	0.5	0.5	NUM
cjfa-8205	524	46	year	year	NOUN
cjfa-8205	524	47	(	(	PUNCT
cjfa-8205	524	48	or	or	CCONJ
cjfa-8205	524	49	100	100	NUM
cjfa-8205	524	50	days	day	NOUN
cjfa-8205	524	51	for	for	ADP
cjfa-8205	524	52	some	some	DET
cjfa-8205	524	53	atms	atms	NOUN
cjfa-8205	524	54	)	)	PUNCT
cjfa-8205	524	55	historical	historical	ADJ
cjfa-8205	524	56	period	period	NOUN
cjfa-8205	524	57	.	.	PUNCT
cjfa-8205	525	1	but	but	CCONJ
cjfa-8205	525	2	for	for	ADP
cjfa-8205	525	3	testing	testing	NOUN
cjfa-8205	525	4	,	,	PUNCT
cjfa-8205	525	5	same	same	ADJ
cjfa-8205	525	6	amount	amount	NOUN
cjfa-8205	525	7	of	of	ADP
cjfa-8205	525	8	data	datum	NOUN
cjfa-8205	525	9	is	be	AUX
cjfa-8205	525	10	used	use	VERB
cjfa-8205	525	11	for	for	ADP
cjfa-8205	525	12	every	every	DET
cjfa-8205	525	13	training	training	NOUN
cjfa-8205	525	14	case	case	NOUN
cjfa-8205	525	15	.	.	PUNCT
cjfa-8205	526	1	evaluation	evaluation	NOUN
cjfa-8205	526	2	of	of	ADP
cjfa-8205	526	3	atm	atm	ADJ
cjfa-8205	526	4	cash	cash	NOUN
cjfa-8205	526	5	demand	demand	NOUN
cjfa-8205	526	6	process	process	NOUN
cjfa-8205	526	7	factors	factor	NOUN
cjfa-8205	526	8	…	…	PUNCT
cjfa-8205	526	9	221	221	NUM
cjfa-8205	526	10	figure	figure	NOUN
cjfa-8205	526	11	4	4	NUM
cjfa-8205	526	12	.	.	PUNCT
cjfa-8205	526	13	illustration	illustration	NOUN
cjfa-8205	526	14	of	of	ADP
cjfa-8205	526	15	atm	atm	ADJ
cjfa-8205	526	16	cash	cash	NOUN
cjfa-8205	526	17	flow	flow	NOUN
cjfa-8205	526	18	data	datum	NOUN
cjfa-8205	526	19	division	division	NOUN
cjfa-8205	526	20	figure	figure	NOUN
cjfa-8205	526	21	4	4	NUM
cjfa-8205	526	22	.	.	PUNCT
cjfa-8205	526	23	illustration	illustration	NOUN
cjfa-8205	526	24	of	of	ADP
cjfa-8205	526	25	atm	atm	ADJ
cjfa-8205	526	26	cash	cash	NOUN
cjfa-8205	526	27	flow	flow	NOUN
cjfa-8205	526	28	data	datum	NOUN
cjfa-8205	526	29	division	division	NOUN
cjfa-8205	526	30	in	in	ADP
cjfa-8205	526	31	order	order	NOUN
cjfa-8205	526	32	to	to	PART
cjfa-8205	526	33	train	train	VERB
cjfa-8205	526	34	model	model	NOUN
cjfa-8205	526	35	for	for	ADP
cjfa-8205	526	36	forecasting	forecasting	NOUN
cjfa-8205	526	37	,	,	PUNCT
cjfa-8205	526	38	some	some	PRON
cjfa-8205	526	39	inputs	input	VERB
cjfa-8205	526	40	features	feature	NOUN
cjfa-8205	526	41	that	that	PRON
cjfa-8205	526	42	represent	represent	VERB
cjfa-8205	526	43	cash	cash	NOUN
cjfa-8205	526	44	flow	flow	NOUN
cjfa-8205	526	45	factors	factor	NOUN
cjfa-8205	526	46	must	must	AUX
cjfa-8205	526	47	be	be	AUX
cjfa-8205	526	48	constructed	construct	VERB
cjfa-8205	526	49	.	.	PUNCT
cjfa-8205	527	1	in	in	ADP
cjfa-8205	527	2	this	this	DET
cjfa-8205	527	3	research	research	NOUN
cjfa-8205	527	4	9	9	NUM
cjfa-8205	527	5	features	feature	NOUN
cjfa-8205	527	6	are	be	AUX
cjfa-8205	527	7	constructed	construct	VERB
cjfa-8205	527	8	as	as	ADP
cjfa-8205	527	9	inputs	input	NOUN
cjfa-8205	527	10	for	for	ADP
cjfa-8205	527	11	every	every	DET
cjfa-8205	527	12	forecasting	forecasting	NOUN
cjfa-8205	527	13	model	model	NOUN
cjfa-8205	527	14	(	(	PUNCT
cjfa-8205	527	15	i	i	PRON
cjfa-8205	527	16	represents	represent	VERB
cjfa-8205	527	17	forecasting	forecasting	NOUN
cjfa-8205	527	18	day	day	PROPN
cjfa-8205	527	19	index	index	NOUN
cjfa-8205	527	20	):	):	PUNCT
cjfa-8205	527	21			NOUN
cjfa-8205	527	22	1st	1st	ADJ
cjfa-8205	527	23	input	input	NOUN
cjfa-8205	527	24	.	.	PUNCT
cjfa-8205	528	1	month	month	NOUN
cjfa-8205	528	2	number	number	NOUN
cjfa-8205	528	3	(	(	PUNCT
cjfa-8205	528	4	numbers	number	NOUN
cjfa-8205	528	5	1	1	NUM
cjfa-8205	528	6	-	-	SYM
cjfa-8205	528	7	12	12	NUM
cjfa-8205	528	8	)	)	PUNCT
cjfa-8205	528	9	;	;	PUNCT
cjfa-8205	528	10			PRON
cjfa-8205	528	11	2nd	2nd	ADJ
cjfa-8205	528	12	input	input	NOUN
cjfa-8205	528	13	.	.	PUNCT
cjfa-8205	529	1	day	day	NOUN
cjfa-8205	529	2	of	of	ADP
cjfa-8205	529	3	the	the	DET
cjfa-8205	529	4	month	month	NOUN
cjfa-8205	529	5	(	(	PUNCT
cjfa-8205	529	6	numbers	number	NOUN
cjfa-8205	529	7	1	1	NUM
cjfa-8205	529	8	-	-	SYM
cjfa-8205	529	9	31	31	NUM
cjfa-8205	529	10	)	)	PUNCT
cjfa-8205	529	11	;	;	PUNCT
cjfa-8205	529	12			PRON
cjfa-8205	529	13	3rd	3rd	ADJ
cjfa-8205	529	14	input	input	NOUN
cjfa-8205	529	15	.	.	PUNCT
cjfa-8205	530	1	day	day	NOUN
cjfa-8205	530	2	of	of	ADP
cjfa-8205	530	3	the	the	DET
cjfa-8205	530	4	week	week	NOUN
cjfa-8205	530	5	(	(	PUNCT
cjfa-8205	530	6	numbers	number	NOUN
cjfa-8205	530	7	1	1	NUM
cjfa-8205	530	8	-	-	SYM
cjfa-8205	530	9	7	7	NUM
cjfa-8205	530	10	)	)	PUNCT
cjfa-8205	530	11	;	;	PUNCT
cjfa-8205	530	12			PRON
cjfa-8205	530	13	4th	4th	ADJ
cjfa-8205	530	14	input	input	NOUN
cjfa-8205	530	15	.	.	PUNCT
cjfa-8205	531	1	withdrawal	withdrawal	NOUN
cjfa-8205	531	2	amount	amount	NOUN
cjfa-8205	531	3	of	of	ADP
cjfa-8205	531	4	i-1	i-1	ADJ
cjfa-8205	531	5	day	day	NOUN
cjfa-8205	531	6	(	(	PUNCT
cjfa-8205	531	7	previous	previous	ADJ
cjfa-8205	531	8	day	day	NOUN
cjfa-8205	531	9	)	)	PUNCT
cjfa-8205	531	10	;	;	PUNCT
cjfa-8205	531	11			X
cjfa-8205	531	12	5th	5th	ADJ
cjfa-8205	531	13	input	input	NOUN
cjfa-8205	531	14	.	.	PUNCT
cjfa-8205	532	1	withdrawal	withdrawal	NOUN
cjfa-8205	532	2	amount	amount	NOUN
cjfa-8205	532	3	of	of	ADP
cjfa-8205	532	4	i-7	i-7	ADJ
cjfa-8205	532	5	day	day	NOUN
cjfa-8205	532	6	(	(	PUNCT
cjfa-8205	532	7	previous	previous	ADJ
cjfa-8205	532	8	week	week	NOUN
cjfa-8205	532	9	day	day	NOUN
cjfa-8205	532	10	)	)	PUNCT
cjfa-8205	532	11	;	;	PUNCT
cjfa-8205	532	12			NOUN
cjfa-8205	532	13	6th	6th	ADJ
cjfa-8205	532	14	input	input	NOUN
cjfa-8205	532	15	.	.	PUNCT
cjfa-8205	533	1	withdrawal	withdrawal	NOUN
cjfa-8205	533	2	amount	amount	NOUN
cjfa-8205	533	3	of	of	ADP
cjfa-8205	533	4	i-14	i-14	ADJ
cjfa-8205	533	5	day	day	NOUN
cjfa-8205	533	6	(	(	PUNCT
cjfa-8205	533	7	previous	previous	ADJ
cjfa-8205	533	8	2nd	2nd	ADJ
cjfa-8205	533	9	week	week	NOUN
cjfa-8205	533	10	day	day	NOUN
cjfa-8205	533	11	)	)	PUNCT
cjfa-8205	533	12	;	;	PUNCT
cjfa-8205	533	13			PRON
cjfa-8205	533	14	7th	7th	ADJ
cjfa-8205	533	15	input	input	NOUN
cjfa-8205	533	16	.	.	PUNCT
cjfa-8205	534	1	withdrawal	withdrawal	NOUN
cjfa-8205	534	2	amount	amount	NOUN
cjfa-8205	534	3	of	of	ADP
cjfa-8205	534	4	i-21	i-21	PROPN
cjfa-8205	534	5	day	day	NOUN
cjfa-8205	534	6	(	(	PUNCT
cjfa-8205	534	7	previous	previous	ADJ
cjfa-8205	534	8	3rd	3rd	ADJ
cjfa-8205	534	9	week	week	NOUN
cjfa-8205	534	10	day	day	NOUN
cjfa-8205	534	11	)	)	PUNCT
cjfa-8205	534	12	;	;	PUNCT
cjfa-8205	534	13			X
cjfa-8205	534	14	8th	8th	ADJ
cjfa-8205	534	15	input	input	NOUN
cjfa-8205	534	16	.	.	PUNCT
cjfa-8205	535	1	withdrawal	withdrawal	NOUN
cjfa-8205	535	2	amount	amount	NOUN
cjfa-8205	535	3	of	of	ADP
cjfa-8205	535	4	i-28	i-28	ADJ
cjfa-8205	535	5	day	day	NOUN
cjfa-8205	535	6	(	(	PUNCT
cjfa-8205	535	7	previous	previous	ADJ
cjfa-8205	535	8	4th	4th	ADJ
cjfa-8205	535	9	week	week	NOUN
cjfa-8205	535	10	day	day	NOUN
cjfa-8205	535	11	)	)	PUNCT
cjfa-8205	535	12	;	;	PUNCT
cjfa-8205	535	13			PRON
cjfa-8205	535	14	9th	9th	ADJ
cjfa-8205	535	15	input	input	NOUN
cjfa-8205	535	16	.	.	PUNCT
cjfa-8205	536	1	sum	sum	NOUN
cjfa-8205	536	2	of	of	ADP
cjfa-8205	536	3	withdrawals	withdrawal	NOUN
cjfa-8205	536	4	of	of	ADP
cjfa-8205	536	5	last	last	ADJ
cjfa-8205	536	6	5	5	NUM
cjfa-8205	536	7	days	day	NOUN
cjfa-8205	536	8	(	(	PUNCT
cjfa-8205	536	9	i-5	i-5	NOUN
cjfa-8205	536	10	to	to	ADP
cjfa-8205	536	11	i-1	i-1	NUM
cjfa-8205	536	12	)	)	PUNCT
cjfa-8205	536	13	.	.	PUNCT
cjfa-8205	537	1	those	those	DET
cjfa-8205	537	2	features	feature	NOUN
cjfa-8205	537	3	were	be	AUX
cjfa-8205	537	4	selected	select	VERB
cjfa-8205	537	5	after	after	ADP
cjfa-8205	537	6	experimental	experimental	ADJ
cjfa-8205	537	7	studies	study	NOUN
cjfa-8205	537	8	.	.	PUNCT
cjfa-8205	538	1	in	in	ADP
cjfa-8205	538	2	order	order	NOUN
cjfa-8205	538	3	to	to	PART
cjfa-8205	538	4	evaluate	evaluate	VERB
cjfa-8205	538	5	what	what	PRON
cjfa-8205	538	6	features	feature	NOUN
cjfa-8205	538	7	(	(	PUNCT
cjfa-8205	538	8	factors	factor	NOUN
cjfa-8205	538	9	)	)	PUNCT
cjfa-8205	538	10	are	be	AUX
cjfa-8205	538	11	best	good	ADJ
cjfa-8205	538	12	for	for	ADP
cjfa-8205	538	13	each	each	DET
cjfa-8205	538	14	particular	particular	ADJ
cjfa-8205	538	15	type	type	NOUN
cjfa-8205	538	16	of	of	ADP
cjfa-8205	538	17	atm	atm	NOUN
cjfa-8205	538	18	cash	cash	NOUN
cjfa-8205	538	19	flow	flow	NOUN
cjfa-8205	538	20	forecasting	forecasting	NOUN
cjfa-8205	538	21	,	,	PUNCT
cjfa-8205	538	22	one	one	PRON
cjfa-8205	538	23	must	must	AUX
cjfa-8205	538	24	perform	perform	VERB
cjfa-8205	538	25	forecasting	forecasting	NOUN
cjfa-8205	538	26	with	with	ADP
cjfa-8205	538	27	all	all	DET
cjfa-8205	538	28	combinations	combination	NOUN
cjfa-8205	538	29	of	of	ADP
cjfa-8205	538	30	features	feature	NOUN
cjfa-8205	538	31	which	which	PRON
cjfa-8205	538	32	using	use	VERB
cjfa-8205	538	33	binomial	binomial	ADJ
cjfa-8205	538	34	formula	formula	NOUN
cjfa-8205	538	35	is	be	AUX
cjfa-8205	538	36	∑	∑	PROPN
cjfa-8205	538	37	�	�	PROPN
cjfa-8205	538	38	�	�	PROPN
cjfa-8205	538	39	�	�	PROPN
cjfa-8205	538	40	�	�	PROPN
cjfa-8205	538	41	=	=	SYM
cjfa-8205	538	42	2	2	NUM
cjfa-8205	538	43	�	�	PROPN
cjfa-8205	538	44	−	−	NOUN
cjfa-8205	538	45	1	1	NUM
cjfa-8205	538	46	=	=	SYM
cjfa-8205	538	47	2	2	NUM
cjfa-8205	538	48	�	�	NOUN
cjfa-8205	538	49	−	−	NOUN
cjfa-8205	538	50	1	1	NUM
cjfa-8205	538	51	=	=	SYM
cjfa-8205	538	52	511	511	NUM
cjfa-8205	538	53	�	�	PROPN
cjfa-8205	538	54	�	�	PROPN
cjfa-8205	538	55	�	�	PROPN
cjfa-8205	538	56	�	�	PROPN
cjfa-8205	538	57	number	number	NOUN
cjfa-8205	538	58	of	of	ADP
cjfa-8205	538	59	training	training	NOUN
cjfa-8205	538	60	cases	case	NOUN
cjfa-8205	538	61	.	.	PUNCT
cjfa-8205	539	1	however	however	ADV
cjfa-8205	539	2	,	,	PUNCT
cjfa-8205	539	3	using	use	VERB
cjfa-8205	539	4	knowledge	knowledge	NOUN
cjfa-8205	539	5	from	from	ADP
cjfa-8205	539	6	previous	previous	ADJ
cjfa-8205	539	7	experimental	experimental	ADJ
cjfa-8205	539	8	studies	study	NOUN
cjfa-8205	539	9	features	feature	VERB
cjfa-8205	539	10	from	from	ADP
cjfa-8205	539	11	5	5	NUM
cjfa-8205	539	12	to	to	PART
cjfa-8205	539	13	8	8	NUM
cjfa-8205	539	14	are	be	AUX
cjfa-8205	539	15	considered	consider	VERB
cjfa-8205	539	16	as	as	ADP
cjfa-8205	539	17	one	one	NUM
cjfa-8205	539	18	set	set	NOUN
cjfa-8205	539	19	.	.	PUNCT
cjfa-8205	540	1	so	so	ADV
cjfa-8205	540	2	the	the	DET
cjfa-8205	540	3	combination	combination	NOUN
cjfa-8205	540	4	set	set	NOUN
cjfa-8205	540	5	reduces	reduce	VERB
cjfa-8205	540	6	from	from	ADP
cjfa-8205	540	7	9	9	NUM
cjfa-8205	540	8	to	to	ADP
cjfa-8205	540	9	6	6	NUM
cjfa-8205	540	10	and	and	CCONJ
cjfa-8205	540	11	so	so	ADV
cjfa-8205	540	12	number	number	NOUN
cjfa-8205	540	13	of	of	ADP
cjfa-8205	540	14	combinations	combination	NOUN
cjfa-8205	540	15	reduces	reduce	VERB
cjfa-8205	540	16	from	from	ADP
cjfa-8205	540	17	511	511	NUM
cjfa-8205	540	18	to	to	ADP
cjfa-8205	540	19	63	63	NUM
cjfa-8205	540	20	.	.	PUNCT
cjfa-8205	541	1	ci	ci	NOUN
cjfa-8205	541	2	forecasting	forecasting	NOUN
cjfa-8205	541	3	models	model	NOUN
cjfa-8205	541	4	have	have	VERB
cjfa-8205	541	5	specific	specific	ADJ
cjfa-8205	541	6	external	external	ADJ
cjfa-8205	541	7	parameters	parameter	NOUN
cjfa-8205	541	8	that	that	PRON
cjfa-8205	541	9	need	need	VERB
cjfa-8205	541	10	to	to	PART
cjfa-8205	541	11	be	be	AUX
cjfa-8205	541	12	adjusted	adjust	VERB
cjfa-8205	541	13	properly	properly	ADV
cjfa-8205	541	14	during	during	ADP
cjfa-8205	541	15	training	training	NOUN
cjfa-8205	541	16	phase	phase	NOUN
cjfa-8205	541	17	.	.	PUNCT
cjfa-8205	542	1	in	in	ADP
cjfa-8205	542	2	order	order	NOUN
cjfa-8205	542	3	to	to	PART
cjfa-8205	542	4	statistically	statistically	ADV
cjfa-8205	542	5	minimize	minimize	VERB
cjfa-8205	542	6	ci	ci	NOUN
cjfa-8205	542	7	forecasting	forecasting	NOUN
cjfa-8205	542	8	model	model	NOUN
cjfa-8205	542	9	overfitting	overfitting	NOUN
cjfa-8205	542	10	and	and	CCONJ
cjfa-8205	542	11	underfitting	underfitting	NOUN
cjfa-8205	542	12	during	during	ADP
cjfa-8205	542	13	training	training	NOUN
cjfa-8205	542	14	phase	phase	NOUN
cjfa-8205	542	15	,	,	PUNCT
cjfa-8205	542	16	a	a	DET
cjfa-8205	542	17	10	10	NUM
cjfa-8205	542	18	-	-	ADJ
cjfa-8205	542	19	fold	fold	ADJ
cjfa-8205	542	20	cross	cross	ADJ
cjfa-8205	542	21	-	-	ADJ
cjfa-8205	542	22	validation	validation	ADJ
cjfa-8205	542	23	procedure	procedure	NOUN
cjfa-8205	542	24	is	be	AUX
cjfa-8205	542	25	used	use	VERB
cjfa-8205	542	26	with	with	ADP
cjfa-8205	542	27	every	every	DET
cjfa-8205	542	28	forecasting	forecasting	NOUN
cjfa-8205	542	29	model	model	NOUN
cjfa-8205	542	30	that	that	PRON
cjfa-8205	542	31	needs	need	VERB
cjfa-8205	542	32	parameter	parameter	NOUN
cjfa-8205	542	33	tuning	tuning	NOUN
cjfa-8205	542	34	.	.	PUNCT
cjfa-8205	543	1	tuned	tune	VERB
cjfa-8205	543	2	parameters	parameter	NOUN
cjfa-8205	543	3	during	during	ADP
cjfa-8205	543	4	training	training	NOUN
cjfa-8205	543	5	phase	phase	NOUN
cjfa-8205	543	6	are	be	AUX
cjfa-8205	543	7	used	use	VERB
cjfa-8205	543	8	for	for	ADP
cjfa-8205	543	9	testing	testing	NOUN
cjfa-8205	543	10	phase	phase	NOUN
cjfa-8205	543	11	.	.	PUNCT
cjfa-8205	544	1	s	s	PART
cjfa-8205	544	2	o	o	X
cjfa-8205	544	3	u	u	NOUN
cjfa-8205	544	4	r	r	NOUN
cjfa-8205	544	5	c	c	NOUN
cjfa-8205	544	6	e	e	NOUN
cjfa-8205	544	7	:	:	PUNCT
cjfa-8205	544	8	created	create	VERB
cjfa-8205	544	9	by	by	ADP
cjfa-8205	544	10	authors	author	NOUN
cjfa-8205	544	11	.	.	PUNCT
cjfa-8205	545	1	in	in	ADP
cjfa-8205	545	2	order	order	NOUN
cjfa-8205	545	3	to	to	PART
cjfa-8205	545	4	train	train	VERB
cjfa-8205	545	5	model	model	NOUN
cjfa-8205	545	6	for	for	ADP
cjfa-8205	545	7	forecasting	forecasting	NOUN
cjfa-8205	545	8	,	,	PUNCT
cjfa-8205	545	9	some	some	PRON
cjfa-8205	545	10	inputs	input	VERB
cjfa-8205	545	11	features	feature	NOUN
cjfa-8205	545	12	that	that	PRON
cjfa-8205	545	13	represent	represent	VERB
cjfa-8205	545	14	cash	cash	NOUN
cjfa-8205	545	15	flow	flow	NOUN
cjfa-8205	545	16	factors	factor	NOUN
cjfa-8205	545	17	must	must	AUX
cjfa-8205	545	18	be	be	AUX
cjfa-8205	545	19	constructed	construct	VERB
cjfa-8205	545	20	.	.	PUNCT
cjfa-8205	546	1	in	in	ADP
cjfa-8205	546	2	this	this	DET
cjfa-8205	546	3	research	research	NOUN
cjfa-8205	546	4	9	9	NUM
cjfa-8205	546	5	features	feature	NOUN
cjfa-8205	546	6	are	be	AUX
cjfa-8205	546	7	constructed	construct	VERB
cjfa-8205	546	8	as	as	ADP
cjfa-8205	546	9	inputs	input	NOUN
cjfa-8205	546	10	for	for	ADP
cjfa-8205	546	11	every	every	DET
cjfa-8205	546	12	forecasting	forecasting	NOUN
cjfa-8205	546	13	model	model	NOUN
cjfa-8205	546	14	(	(	PUNCT
cjfa-8205	546	15	i	i	PRON
cjfa-8205	546	16	represents	represent	VERB
cjfa-8205	546	17	forecasting	forecasting	NOUN
cjfa-8205	546	18	day	day	NOUN
cjfa-8205	546	19	index	index	NOUN
cjfa-8205	546	20	):	):	PUNCT
cjfa-8205	546	21	■	■	PUNCT
cjfa-8205	546	22	1st	1st	ADJ
cjfa-8205	546	23	input	input	NOUN
cjfa-8205	546	24	.	.	PUNCT
cjfa-8205	547	1	month	month	NOUN
cjfa-8205	547	2	number	number	NOUN
cjfa-8205	547	3	(	(	PUNCT
cjfa-8205	547	4	numbers	number	NOUN
cjfa-8205	547	5	1–12	1–12	PROPN
cjfa-8205	547	6	)	)	PUNCT
cjfa-8205	547	7	;	;	PUNCT
cjfa-8205	547	8	■	■	PUNCT
cjfa-8205	547	9	2nd	2nd	ADJ
cjfa-8205	547	10	input	input	NOUN
cjfa-8205	547	11	.	.	PUNCT
cjfa-8205	548	1	day	day	NOUN
cjfa-8205	548	2	of	of	ADP
cjfa-8205	548	3	the	the	DET
cjfa-8205	548	4	month	month	NOUN
cjfa-8205	548	5	(	(	PUNCT
cjfa-8205	548	6	numbers	number	NOUN
cjfa-8205	548	7	1–31	1–31	PROPN
cjfa-8205	548	8	)	)	PUNCT
cjfa-8205	548	9	;	;	PUNCT
cjfa-8205	549	1	■	■	PUNCT
cjfa-8205	549	2	3rd	3rd	ADJ
cjfa-8205	549	3	input	input	NOUN
cjfa-8205	549	4	.	.	PUNCT
cjfa-8205	550	1	day	day	NOUN
cjfa-8205	550	2	of	of	ADP
cjfa-8205	550	3	the	the	DET
cjfa-8205	550	4	week	week	NOUN
cjfa-8205	550	5	(	(	PUNCT
cjfa-8205	550	6	numbers	number	NOUN
cjfa-8205	550	7	1–7	1–7	NUM
cjfa-8205	550	8	)	)	PUNCT
cjfa-8205	550	9	;	;	PUNCT
cjfa-8205	550	10	■	■	PUNCT
cjfa-8205	550	11	4th	4th	ADJ
cjfa-8205	550	12	input	input	NOUN
cjfa-8205	550	13	.	.	PUNCT
cjfa-8205	551	1	withdrawal	withdrawal	NOUN
cjfa-8205	551	2	amount	amount	NOUN
cjfa-8205	551	3	of	of	ADP
cjfa-8205	551	4	i-1	i-1	ADJ
cjfa-8205	551	5	day	day	NOUN
cjfa-8205	551	6	(	(	PUNCT
cjfa-8205	551	7	previous	previous	ADJ
cjfa-8205	551	8	day	day	NOUN
cjfa-8205	551	9	)	)	PUNCT
cjfa-8205	551	10	;	;	PUNCT
cjfa-8205	552	1	■	■	PUNCT
cjfa-8205	552	2	5th	5th	ADJ
cjfa-8205	552	3	input	input	NOUN
cjfa-8205	552	4	.	.	PUNCT
cjfa-8205	553	1	withdrawal	withdrawal	NOUN
cjfa-8205	553	2	amount	amount	NOUN
cjfa-8205	553	3	of	of	ADP
cjfa-8205	553	4	i-7	i-7	ADJ
cjfa-8205	553	5	day	day	NOUN
cjfa-8205	553	6	(	(	PUNCT
cjfa-8205	553	7	previous	previous	ADJ
cjfa-8205	553	8	week	week	NOUN
cjfa-8205	553	9	day	day	NOUN
cjfa-8205	553	10	)	)	PUNCT
cjfa-8205	553	11	;	;	PUNCT
cjfa-8205	554	1	■	■	PUNCT
cjfa-8205	554	2	6th	6th	ADJ
cjfa-8205	554	3	input	input	NOUN
cjfa-8205	554	4	.	.	PUNCT
cjfa-8205	555	1	withdrawal	withdrawal	NOUN
cjfa-8205	555	2	amount	amount	NOUN
cjfa-8205	555	3	of	of	ADP
cjfa-8205	555	4	i-14	i-14	ADJ
cjfa-8205	555	5	day	day	NOUN
cjfa-8205	555	6	(	(	PUNCT
cjfa-8205	555	7	previous	previous	ADJ
cjfa-8205	555	8	2nd	2nd	ADJ
cjfa-8205	555	9	week	week	NOUN
cjfa-8205	555	10	day	day	NOUN
cjfa-8205	555	11	)	)	PUNCT
cjfa-8205	555	12	;	;	PUNCT
cjfa-8205	556	1	■	■	PUNCT
cjfa-8205	556	2	7th	7th	ADJ
cjfa-8205	556	3	input	input	NOUN
cjfa-8205	556	4	.	.	PUNCT
cjfa-8205	557	1	withdrawal	withdrawal	NOUN
cjfa-8205	557	2	amount	amount	NOUN
cjfa-8205	557	3	of	of	ADP
cjfa-8205	557	4	i-21	i-21	PROPN
cjfa-8205	557	5	day	day	NOUN
cjfa-8205	557	6	(	(	PUNCT
cjfa-8205	557	7	previous	previous	ADJ
cjfa-8205	557	8	3rd	3rd	ADJ
cjfa-8205	557	9	week	week	NOUN
cjfa-8205	557	10	day	day	NOUN
cjfa-8205	557	11	)	)	PUNCT
cjfa-8205	557	12	;	;	PUNCT
cjfa-8205	557	13	■	■	PUNCT
cjfa-8205	557	14	8th	8th	ADJ
cjfa-8205	557	15	input	input	NOUN
cjfa-8205	557	16	.	.	PUNCT
cjfa-8205	558	1	withdrawal	withdrawal	NOUN
cjfa-8205	558	2	amount	amount	NOUN
cjfa-8205	558	3	of	of	ADP
cjfa-8205	558	4	i-28	i-28	ADJ
cjfa-8205	558	5	day	day	NOUN
cjfa-8205	558	6	(	(	PUNCT
cjfa-8205	558	7	previous	previous	ADJ
cjfa-8205	558	8	4th	4th	ADJ
cjfa-8205	558	9	week	week	NOUN
cjfa-8205	558	10	day	day	NOUN
cjfa-8205	558	11	)	)	PUNCT
cjfa-8205	558	12	;	;	PUNCT
cjfa-8205	559	1	■	■	PUNCT
cjfa-8205	559	2	9th	9th	ADJ
cjfa-8205	559	3	input	input	NOUN
cjfa-8205	559	4	.	.	PUNCT
cjfa-8205	560	1	sum	sum	NOUN
cjfa-8205	560	2	of	of	ADP
cjfa-8205	560	3	withdrawals	withdrawal	NOUN
cjfa-8205	560	4	of	of	ADP
cjfa-8205	560	5	last	last	ADJ
cjfa-8205	560	6	5	5	NUM
cjfa-8205	560	7	days	day	NOUN
cjfa-8205	560	8	(	(	PUNCT
cjfa-8205	560	9	i-5	i-5	NOUN
cjfa-8205	560	10	to	to	ADP
cjfa-8205	560	11	i-1	i-1	NUM
cjfa-8205	560	12	)	)	PUNCT
cjfa-8205	560	13	.	.	PUNCT
cjfa-8205	561	1	those	those	DET
cjfa-8205	561	2	features	feature	NOUN
cjfa-8205	561	3	were	be	AUX
cjfa-8205	561	4	selected	select	VERB
cjfa-8205	561	5	after	after	ADP
cjfa-8205	561	6	experimental	experimental	ADJ
cjfa-8205	561	7	studies	study	NOUN
cjfa-8205	561	8	.	.	PUNCT
cjfa-8205	562	1	in	in	ADP
cjfa-8205	562	2	order	order	NOUN
cjfa-8205	562	3	to	to	PART
cjfa-8205	562	4	evaluate	evaluate	VERB
cjfa-8205	562	5	what	what	PRON
cjfa-8205	562	6	features	feature	NOUN
cjfa-8205	562	7	(	(	PUNCT
cjfa-8205	562	8	factors	factor	NOUN
cjfa-8205	562	9	)	)	PUNCT
cjfa-8205	562	10	are	be	AUX
cjfa-8205	562	11	best	good	ADJ
cjfa-8205	562	12	for	for	ADP
cjfa-8205	562	13	each	each	DET
cjfa-8205	562	14	particular	particular	ADJ
cjfa-8205	562	15	type	type	NOUN
cjfa-8205	562	16	of	of	ADP
cjfa-8205	562	17	atm	atm	NOUN
cjfa-8205	562	18	cash	cash	NOUN
cjfa-8205	562	19	flow	flow	NOUN
cjfa-8205	562	20	forecasting	forecasting	NOUN
cjfa-8205	562	21	,	,	PUNCT
cjfa-8205	562	22	one	one	PRON
cjfa-8205	562	23	must	must	AUX
cjfa-8205	562	24	perform	perform	VERB
cjfa-8205	562	25	forecasting	forecasting	NOUN
cjfa-8205	562	26	with	with	ADP
cjfa-8205	562	27	all	all	DET
cjfa-8205	562	28	combinations	combination	NOUN
cjfa-8205	562	29	of	of	ADP
cjfa-8205	562	30	features	feature	NOUN
cjfa-8205	562	31	which	which	PRON
cjfa-8205	562	32	using	use	VERB
cjfa-8205	562	33	binomial	binomial	ADJ
cjfa-8205	562	34	formula	formula	NOUN
cjfa-8205	562	35	is	be	AUX
cjfa-8205	562	36	number	number	NOUN
cjfa-8205	562	37	of	of	ADP
cjfa-8205	562	38	training	training	NOUN
cjfa-8205	562	39	cases	case	NOUN
cjfa-8205	562	40	.	.	PUNCT
cjfa-8205	563	1	however	however	ADV
cjfa-8205	563	2	,	,	PUNCT
cjfa-8205	563	3	using	use	VERB
cjfa-8205	563	4	knowledge	knowledge	NOUN
cjfa-8205	563	5	from	from	ADP
cjfa-8205	563	6	previous	previous	ADJ
cjfa-8205	563	7	experimental	experimental	ADJ
cjfa-8205	563	8	studies	study	NOUN
cjfa-8205	563	9	features	feature	VERB
cjfa-8205	563	10	from	from	ADP
cjfa-8205	563	11	5	5	NUM
cjfa-8205	563	12	to	to	PART
cjfa-8205	563	13	8	8	NUM
cjfa-8205	563	14	are	be	AUX
cjfa-8205	563	15	considered	consider	VERB
cjfa-8205	563	16	as	as	ADP
cjfa-8205	563	17	one	one	NUM
cjfa-8205	563	18	set	set	NOUN
cjfa-8205	563	19	.	.	PUNCT
cjfa-8205	564	1	so	so	ADV
cjfa-8205	564	2	the	the	DET
cjfa-8205	564	3	combination	combination	NOUN
cjfa-8205	564	4	set	set	NOUN
cjfa-8205	564	5	reduces	reduce	VERB
cjfa-8205	564	6	from	from	ADP
cjfa-8205	564	7	9	9	NUM
cjfa-8205	564	8	to	to	ADP
cjfa-8205	564	9	6	6	NUM
cjfa-8205	564	10	and	and	CCONJ
cjfa-8205	564	11	so	so	ADV
cjfa-8205	564	12	number	number	NOUN
cjfa-8205	564	13	of	of	ADP
cjfa-8205	564	14	combinations	combination	NOUN
cjfa-8205	564	15	reduces	reduce	VERB
cjfa-8205	564	16	from	from	ADP
cjfa-8205	564	17	511	511	NUM
cjfa-8205	564	18	to	to	ADP
cjfa-8205	564	19	63	63	NUM
cjfa-8205	564	20	.	.	PUNCT
cjfa-8205	565	1	ci	ci	NOUN
cjfa-8205	565	2	forecasting	forecasting	NOUN
cjfa-8205	565	3	models	model	NOUN
cjfa-8205	565	4	have	have	VERB
cjfa-8205	565	5	specific	specific	ADJ
cjfa-8205	565	6	external	external	ADJ
cjfa-8205	565	7	parameters	parameter	NOUN
cjfa-8205	565	8	that	that	PRON
cjfa-8205	565	9	need	need	VERB
cjfa-8205	565	10	to	to	PART
cjfa-8205	565	11	be	be	AUX
cjfa-8205	565	12	adjusted	adjust	VERB
cjfa-8205	565	13	properly	properly	ADV
cjfa-8205	565	14	during	during	ADP
cjfa-8205	565	15	training	training	NOUN
cjfa-8205	565	16	phase	phase	NOUN
cjfa-8205	565	17	.	.	PUNCT
cjfa-8205	566	1	in	in	ADP
cjfa-8205	566	2	order	order	NOUN
cjfa-8205	566	3	to	to	PART
cjfa-8205	566	4	statistically	statistically	ADV
cjfa-8205	566	5	minimize	minimize	VERB
cjfa-8205	566	6	ci	ci	NOUN
cjfa-8205	566	7	forecasting	forecasting	NOUN
cjfa-8205	566	8	model	model	NOUN
cjfa-8205	566	9	overfitting	overfitting	NOUN
cjfa-8205	566	10	and	and	CCONJ
cjfa-8205	566	11	underfitting	underfitting	NOUN
cjfa-8205	566	12	during	during	ADP
cjfa-8205	566	13	training	training	NOUN
cjfa-8205	566	14	phase	phase	NOUN
cjfa-8205	566	15	,	,	PUNCT
cjfa-8205	566	16	a	a	DET
cjfa-8205	566	17	10	10	NUM
cjfa-8205	566	18	-	-	ADJ
cjfa-8205	566	19	fold	fold	ADJ
cjfa-8205	566	20	cross	cross	ADJ
cjfa-8205	566	21	-	-	ADJ
cjfa-8205	566	22	validation	validation	ADJ
cjfa-8205	566	23	procedure	procedure	NOUN
cjfa-8205	566	24	is	be	AUX
cjfa-8205	566	25	used	use	VERB
cjfa-8205	566	26	with	with	ADP
cjfa-8205	566	27	every	every	DET
cjfa-8205	566	28	forecasting	forecasting	NOUN
cjfa-8205	566	29	model	model	NOUN
cjfa-8205	566	30	that	that	PRON
cjfa-8205	566	31	needs	need	VERB
cjfa-8205	566	32	parameter	parameter	NOUN
cjfa-8205	566	33	tuning	tuning	NOUN
cjfa-8205	566	34	.	.	PUNCT
cjfa-8205	567	1	tuned	tune	VERB
cjfa-8205	567	2	parameters	parameter	NOUN
cjfa-8205	567	3	during	during	ADP
cjfa-8205	567	4	training	training	NOUN
cjfa-8205	567	5	phase	phase	NOUN
cjfa-8205	567	6	are	be	AUX
cjfa-8205	567	7	used	use	VERB
cjfa-8205	567	8	for	for	ADP
cjfa-8205	567	9	testing	testing	NOUN
cjfa-8205	567	10	phase	phase	NOUN
cjfa-8205	567	11	.	.	PUNCT
cjfa-8205	568	1	gediminas	gediminas	PROPN
cjfa-8205	568	2	žylius222	žylius222	PROPN
cjfa-8205	568	3	results	result	VERB
cjfa-8205	568	4	this	this	DET
cjfa-8205	568	5	section	section	NOUN
cjfa-8205	568	6	presents	present	VERB
cjfa-8205	568	7	forecasting	forecasting	NOUN
cjfa-8205	568	8	accuracy	accuracy	NOUN
cjfa-8205	568	9	results	result	NOUN
cjfa-8205	568	10	.	.	PUNCT
cjfa-8205	569	1	forecasting	forecasting	NOUN
cjfa-8205	569	2	accuracy	accuracy	NOUN
cjfa-8205	569	3	results	result	NOUN
cjfa-8205	569	4	averaged	average	VERB
cjfa-8205	569	5	over	over	ADP
cjfa-8205	569	6	all	all	DET
cjfa-8205	569	7	7	7	NUM
cjfa-8205	569	8	forecasting	forecasting	NOUN
cjfa-8205	569	9	models	model	NOUN
cjfa-8205	569	10	are	be	AUX
cjfa-8205	569	11	presented	present	VERB
cjfa-8205	569	12	in	in	ADP
cjfa-8205	569	13	table	table	NOUN
cjfa-8205	569	14	1	1	NUM
cjfa-8205	569	15	.	.	PUNCT
cjfa-8205	570	1	the	the	DET
cjfa-8205	570	2	first	first	ADJ
cjfa-8205	570	3	row	row	NOUN
cjfa-8205	570	4	in	in	ADP
cjfa-8205	570	5	the	the	DET
cjfa-8205	570	6	table	table	NOUN
cjfa-8205	570	7	represents	represent	VERB
cjfa-8205	570	8	atm	atm	ADJ
cjfa-8205	570	9	numbers	number	NOUN
cjfa-8205	570	10	according	accord	VERB
cjfa-8205	570	11	to	to	ADP
cjfa-8205	570	12	their	their	PRON
cjfa-8205	570	13	type	type	NOUN
cjfa-8205	570	14	,	,	PUNCT
cjfa-8205	570	15	which	which	PRON
cjfa-8205	570	16	is	be	AUX
cjfa-8205	570	17	described	describe	VERB
cjfa-8205	570	18	in	in	ADP
cjfa-8205	570	19	section	section	NOUN
cjfa-8205	570	20	3	3	NUM
cjfa-8205	570	21	.	.	NOUN
cjfa-8205	570	22	second	second	ADJ
cjfa-8205	570	23	to	to	PART
cjfa-8205	570	24	fifth	fifth	ADJ
cjfa-8205	570	25	rows	row	NOUN
cjfa-8205	570	26	show	show	VERB
cjfa-8205	570	27	average	average	ADJ
cjfa-8205	570	28	smape	smape	NOUN
cjfa-8205	570	29	(	(	PUNCT
cjfa-8205	570	30	averaged	average	VERB
cjfa-8205	570	31	over	over	ADP
cjfa-8205	570	32	all	all	DET
cjfa-8205	570	33	model	model	NOUN
cjfa-8205	570	34	forecasts	forecast	NOUN
cjfa-8205	570	35	)	)	PUNCT
cjfa-8205	570	36	for	for	ADP
cjfa-8205	570	37	particular	particular	ADJ
cjfa-8205	570	38	training	training	NOUN
cjfa-8205	570	39	type	type	NOUN
cjfa-8205	570	40	when	when	SCONJ
cjfa-8205	570	41	inputs	input	NOUN
cjfa-8205	570	42	that	that	PRON
cjfa-8205	570	43	yield	yield	VERB
cjfa-8205	570	44	best	good	ADJ
cjfa-8205	570	45	average	average	ADJ
cjfa-8205	570	46	smape	smape	NOUN
cjfa-8205	570	47	amongst	amongst	ADP
cjfa-8205	570	48	all	all	DET
cjfa-8205	570	49	forecasting	forecasting	NOUN
cjfa-8205	570	50	models	model	NOUN
cjfa-8205	570	51	and	and	CCONJ
cjfa-8205	570	52	training	training	NOUN
cjfa-8205	570	53	types	type	NOUN
cjfa-8205	570	54	(	(	PUNCT
cjfa-8205	570	55	averaged	average	VERB
cjfa-8205	570	56	over	over	ADP
cjfa-8205	570	57	all	all	DET
cjfa-8205	570	58	seven	seven	NUM
cjfa-8205	570	59	models	model	NOUN
cjfa-8205	570	60	and	and	CCONJ
cjfa-8205	570	61	all	all	DET
cjfa-8205	570	62	four	four	NUM
cjfa-8205	570	63	training	training	NOUN
cjfa-8205	570	64	types	type	NOUN
cjfa-8205	570	65	)	)	PUNCT
cjfa-8205	570	66	are	be	AUX
cjfa-8205	570	67	selected	select	VERB
cjfa-8205	570	68	.	.	PUNCT
cjfa-8205	571	1	sixth	sixth	ADJ
cjfa-8205	571	2	row	row	NOUN
cjfa-8205	571	3	show	show	VERB
cjfa-8205	571	4	those	those	DET
cjfa-8205	571	5	best	good	ADJ
cjfa-8205	571	6	average	average	ADJ
cjfa-8205	571	7	input	input	NOUN
cjfa-8205	571	8	numbers	number	NOUN
cjfa-8205	571	9	according	accord	VERB
cjfa-8205	571	10	to	to	ADP
cjfa-8205	571	11	their	their	PRON
cjfa-8205	571	12	type	type	NOUN
cjfa-8205	571	13	as	as	SCONJ
cjfa-8205	571	14	described	describe	VERB
cjfa-8205	571	15	in	in	ADP
cjfa-8205	571	16	section	section	NOUN
cjfa-8205	571	17	4	4	NUM
cjfa-8205	571	18	.	.	NOUN
cjfa-8205	571	19	seventh	seventh	ADJ
cjfa-8205	571	20	row	row	NOUN
cjfa-8205	571	21	show	show	NOUN
cjfa-8205	571	22	best	well	ADV
cjfa-8205	571	23	averaged	average	VERB
cjfa-8205	571	24	over	over	ADP
cjfa-8205	571	25	all	all	DET
cjfa-8205	571	26	models	model	NOUN
cjfa-8205	571	27	smape	smape	NOUN
cjfa-8205	571	28	when	when	SCONJ
cjfa-8205	571	29	best	good	ADJ
cjfa-8205	571	30	input	input	NOUN
cjfa-8205	571	31	set	set	VERB
cjfa-8205	571	32	for	for	ADP
cjfa-8205	571	33	particular	particular	ADJ
cjfa-8205	571	34	training	training	NOUN
cjfa-8205	571	35	type	type	NOUN
cjfa-8205	571	36	(	(	PUNCT
cjfa-8205	571	37	not	not	PART
cjfa-8205	571	38	for	for	ADP
cjfa-8205	571	39	all	all	DET
cjfa-8205	571	40	training	training	NOUN
cjfa-8205	571	41	types	type	NOUN
cjfa-8205	571	42	)	)	PUNCT
cjfa-8205	571	43	is	be	AUX
cjfa-8205	571	44	selected	select	VERB
cjfa-8205	571	45	.	.	PUNCT
cjfa-8205	572	1	eighth	eighth	PROPN
cjfa-8205	572	2	row	row	NOUN
cjfa-8205	572	3	show	show	VERB
cjfa-8205	572	4	those	those	DET
cjfa-8205	572	5	best	good	ADJ
cjfa-8205	572	6	input	input	NOUN
cjfa-8205	572	7	numbers	number	NOUN
cjfa-8205	572	8	for	for	ADP
cjfa-8205	572	9	particular	particular	ADJ
cjfa-8205	572	10	training	training	NOUN
cjfa-8205	572	11	type	type	NOUN
cjfa-8205	572	12	.	.	PUNCT
cjfa-8205	573	1	other	other	ADJ
cjfa-8205	573	2	rows	row	NOUN
cjfa-8205	573	3	show	show	VERB
cjfa-8205	573	4	same	same	ADJ
cjfa-8205	573	5	kind	kind	NOUN
cjfa-8205	573	6	of	of	ADP
cjfa-8205	573	7	results	result	NOUN
cjfa-8205	573	8	for	for	ADP
cjfa-8205	573	9	other	other	ADJ
cjfa-8205	573	10	training	training	NOUN
cjfa-8205	573	11	types	type	NOUN
cjfa-8205	573	12	.	.	PUNCT
cjfa-8205	574	1	forecasting	forecasting	NOUN
cjfa-8205	574	2	results	result	NOUN
cjfa-8205	574	3	averaged	average	VERB
cjfa-8205	574	4	for	for	ADP
cjfa-8205	574	5	all	all	DET
cjfa-8205	574	6	forecasting	forecasting	NOUN
cjfa-8205	574	7	models	model	NOUN
cjfa-8205	574	8	and	and	CCONJ
cjfa-8205	574	9	sorted	sort	VERB
cjfa-8205	574	10	according	accord	VERB
cjfa-8205	574	11	to	to	ADP
cjfa-8205	574	12	average	average	NOUN
cjfa-8205	574	13	of	of	ADP
cjfa-8205	574	14	all	all	DET
cjfa-8205	574	15	forecasting	forecasting	NOUN
cjfa-8205	574	16	models	model	NOUN
cjfa-8205	574	17	and	and	CCONJ
cjfa-8205	574	18	training	training	NOUN
cjfa-8205	574	19	types	type	NOUN
cjfa-8205	574	20	for	for	ADP
cjfa-8205	574	21	each	each	DET
cjfa-8205	574	22	particular	particular	ADJ
cjfa-8205	574	23	input	input	NOUN
cjfa-8205	574	24	type	type	NOUN
cjfa-8205	574	25	(	(	PUNCT
cjfa-8205	574	26	sorted	sort	VERB
cjfa-8205	574	27	63	63	NUM
cjfa-8205	574	28	inputs	input	NOUN
cjfa-8205	574	29	)	)	PUNCT
cjfa-8205	574	30	are	be	AUX
cjfa-8205	574	31	depicted	depict	VERB
cjfa-8205	574	32	in	in	ADP
cjfa-8205	574	33	appendix	appendix	NOUN
cjfa-8205	574	34	.	.	PUNCT
cjfa-8205	575	1	further	far	ADV
cjfa-8205	575	2	an	an	DET
cjfa-8205	575	3	explanation	explanation	NOUN
cjfa-8205	575	4	of	of	ADP
cjfa-8205	575	5	forecasting	forecasting	NOUN
cjfa-8205	575	6	results	result	NOUN
cjfa-8205	575	7	for	for	ADP
cjfa-8205	575	8	each	each	DET
cjfa-8205	575	9	atm	atm	NOUN
cjfa-8205	575	10	is	be	AUX
cjfa-8205	575	11	made	make	VERB
cjfa-8205	575	12	:	:	PUNCT
cjfa-8205	575	13	■	■	PUNCT
cjfa-8205	575	14	atm	atm	ADJ
cjfa-8205	575	15	number	number	NOUN
cjfa-8205	575	16	1	1	NUM
cjfa-8205	575	17	:	:	PUNCT
cjfa-8205	575	18	worst	bad	ADJ
cjfa-8205	575	19	accuracy	accuracy	NOUN
cjfa-8205	575	20	is	be	AUX
cjfa-8205	575	21	achieved	achieve	VERB
cjfa-8205	575	22	with	with	ADP
cjfa-8205	575	23	shortest	short	ADJ
cjfa-8205	575	24	training	training	NOUN
cjfa-8205	575	25	history	history	NOUN
cjfa-8205	575	26	(	(	PUNCT
cjfa-8205	575	27	0.5	0.5	NUM
cjfa-8205	575	28	year	year	NOUN
cjfa-8205	575	29	)	)	PUNCT
cjfa-8205	575	30	mostly	mostly	ADV
cjfa-8205	575	31	for	for	ADP
cjfa-8205	575	32	all	all	DET
cjfa-8205	575	33	training	training	NOUN
cjfa-8205	575	34	inputs	input	NOUN
cjfa-8205	575	35	(	(	PUNCT
cjfa-8205	575	36	see	see	VERB
cjfa-8205	575	37	figure	figure	NOUN
cjfa-8205	575	38	in	in	ADP
cjfa-8205	575	39	appendix	appendix	NOUN
cjfa-8205	575	40	)	)	PUNCT
cjfa-8205	575	41	.	.	PUNCT
cjfa-8205	576	1	training	training	NOUN
cjfa-8205	576	2	with	with	ADP
cjfa-8205	576	3	long	long	ADJ
cjfa-8205	576	4	history	history	NOUN
cjfa-8205	576	5	(	(	PUNCT
cjfa-8205	576	6	2	2	NUM
cjfa-8205	576	7	years	year	NOUN
cjfa-8205	576	8	)	)	PUNCT
cjfa-8205	576	9	does	do	AUX
cjfa-8205	576	10	n’t	not	PART
cjfa-8205	576	11	improve	improve	VERB
cjfa-8205	576	12	average	average	ADJ
cjfa-8205	576	13	forecasting	forecasting	NOUN
cjfa-8205	576	14	results	result	NOUN
cjfa-8205	576	15	and	and	CCONJ
cjfa-8205	576	16	best	good	ADJ
cjfa-8205	576	17	results	result	NOUN
cjfa-8205	576	18	are	be	AUX
cjfa-8205	576	19	achieved	achieve	VERB
cjfa-8205	576	20	with	with	ADP
cjfa-8205	576	21	1.5	1.5	NUM
cjfa-8205	576	22	year	year	NOUN
cjfa-8205	576	23	training	training	NOUN
cjfa-8205	576	24	–	–	PUNCT
cjfa-8205	576	25	a	a	DET
cjfa-8205	576	26	trade	trade	NOUN
cjfa-8205	576	27	-	-	PUNCT
cjfa-8205	576	28	off	off	NOUN
cjfa-8205	576	29	between	between	ADP
cjfa-8205	576	30	overfitting	overfitte	VERB
cjfa-8205	576	31	because	because	SCONJ
cjfa-8205	576	32	of	of	ADP
cjfa-8205	576	33	too	too	ADV
cjfa-8205	576	34	short	short	ADJ
cjfa-8205	576	35	history	history	NOUN
cjfa-8205	576	36	and	and	CCONJ
cjfa-8205	576	37	overfitting	overfitting	NOUN
cjfa-8205	576	38	because	because	SCONJ
cjfa-8205	576	39	of	of	ADP
cjfa-8205	576	40	learning	learn	VERB
cjfa-8205	576	41	patterns	pattern	NOUN
cjfa-8205	576	42	that	that	PRON
cjfa-8205	576	43	do	do	AUX
cjfa-8205	576	44	not	not	PART
cjfa-8205	576	45	reoccur	reoccur	VERB
cjfa-8205	576	46	in	in	ADP
cjfa-8205	576	47	the	the	DET
cjfa-8205	576	48	future	future	NOUN
cjfa-8205	576	49	.	.	PUNCT
cjfa-8205	577	1	best	good	ADJ
cjfa-8205	577	2	average	average	ADJ
cjfa-8205	577	3	input	input	NOUN
cjfa-8205	577	4	set	set	VERB
cjfa-8205	577	5	is	be	AUX
cjfa-8205	577	6	weekly	weekly	ADJ
cjfa-8205	577	7	values	value	NOUN
cjfa-8205	577	8	of	of	ADP
cjfa-8205	577	9	cash	cash	NOUN
cjfa-8205	577	10	flow	flow	NOUN
cjfa-8205	577	11	(	(	PUNCT
cjfa-8205	577	12	1–4	1–4	NOUN
cjfa-8205	577	13	weeks	week	NOUN
cjfa-8205	577	14	before	before	ADV
cjfa-8205	577	15	,	,	PUNCT
cjfa-8205	577	16	see	see	VERB
cjfa-8205	577	17	table	table	NOUN
cjfa-8205	577	18	1	1	NUM
cjfa-8205	577	19	)	)	PUNCT
cjfa-8205	577	20	.	.	PUNCT
cjfa-8205	578	1	however	however	ADV
cjfa-8205	578	2	week	week	NOUN
cjfa-8205	578	3	number	number	NOUN
cjfa-8205	578	4	was	be	AUX
cjfa-8205	578	5	n’t	not	PART
cjfa-8205	578	6	selected	select	VERB
cjfa-8205	578	7	as	as	ADP
cjfa-8205	578	8	best	good	ADJ
cjfa-8205	578	9	input	input	NOUN
cjfa-8205	578	10	over	over	ADP
cjfa-8205	578	11	all	all	DET
cjfa-8205	578	12	models	model	NOUN
cjfa-8205	578	13	,	,	PUNCT
cjfa-8205	578	14	this	this	PRON
cjfa-8205	578	15	shows	show	VERB
cjfa-8205	578	16	that	that	SCONJ
cjfa-8205	578	17	cash	cash	NOUN
cjfa-8205	578	18	flow	flow	NOUN
cjfa-8205	578	19	is	be	AUX
cjfa-8205	578	20	non	non	ADJ
cjfa-8205	578	21	-	-	ADJ
cjfa-8205	578	22	stationary	stationary	ADJ
cjfa-8205	578	23	and	and	CCONJ
cjfa-8205	578	24	recent	recent	ADJ
cjfa-8205	578	25	history	history	NOUN
cjfa-8205	578	26	update	update	NOUN
cjfa-8205	578	27	of	of	ADP
cjfa-8205	578	28	cash	cash	NOUN
cjfa-8205	578	29	flow	flow	NOUN
cjfa-8205	578	30	pattern	pattern	NOUN
cjfa-8205	578	31	improves	improves	AUX
cjfa-8205	578	32	forecasting	forecast	VERB
cjfa-8205	578	33	even	even	ADV
cjfa-8205	578	34	for	for	ADP
cjfa-8205	578	35	strong	strong	ADJ
cjfa-8205	578	36	weekly	weekly	ADJ
cjfa-8205	578	37	seasonality	seasonality	NOUN
cjfa-8205	578	38	.	.	PUNCT
cjfa-8205	579	1	■	■	PUNCT
cjfa-8205	579	2	atm	atm	ADJ
cjfa-8205	579	3	number	number	NOUN
cjfa-8205	579	4	2	2	NUM
cjfa-8205	579	5	:	:	PUNCT
cjfa-8205	579	6	as	as	ADP
cjfa-8205	579	7	for	for	ADP
cjfa-8205	579	8	atm	atm	NOUN
cjfa-8205	579	9	1	1	NUM
cjfa-8205	579	10	,	,	PUNCT
cjfa-8205	579	11	worst	bad	ADJ
cjfa-8205	579	12	results	result	NOUN
cjfa-8205	579	13	are	be	AUX
cjfa-8205	579	14	achieved	achieve	VERB
cjfa-8205	579	15	with	with	ADP
cjfa-8205	579	16	shortest	short	ADJ
cjfa-8205	579	17	history	history	NOUN
cjfa-8205	579	18	training	training	NOUN
cjfa-8205	579	19	.	.	PUNCT
cjfa-8205	580	1	now	now	ADV
cjfa-8205	580	2	long	long	ADJ
cjfa-8205	580	3	history	history	NOUN
cjfa-8205	580	4	is	be	AUX
cjfa-8205	580	5	more	more	ADV
cjfa-8205	580	6	significant	significant	ADJ
cjfa-8205	580	7	than	than	ADP
cjfa-8205	580	8	for	for	ADP
cjfa-8205	580	9	atm	atm	NOUN
cjfa-8205	580	10	1	1	NUM
cjfa-8205	580	11	and	and	CCONJ
cjfa-8205	580	12	best	good	ADJ
cjfa-8205	580	13	results	result	NOUN
cjfa-8205	580	14	are	be	AUX
cjfa-8205	580	15	achieved	achieve	VERB
cjfa-8205	580	16	with	with	ADP
cjfa-8205	580	17	2	2	NUM
cjfa-8205	580	18	year	year	NOUN
cjfa-8205	580	19	training	training	NOUN
cjfa-8205	580	20	(	(	PUNCT
cjfa-8205	580	21	mostly	mostly	ADV
cjfa-8205	580	22	over	over	ADP
cjfa-8205	580	23	all	all	DET
cjfa-8205	580	24	input	input	NOUN
cjfa-8205	580	25	sets	set	NOUN
cjfa-8205	580	26	,	,	PUNCT
cjfa-8205	580	27	see	see	VERB
cjfa-8205	580	28	figure	figure	NOUN
cjfa-8205	580	29	in	in	ADP
cjfa-8205	580	30	appendix	appendix	NOUN
cjfa-8205	580	31	)	)	PUNCT
cjfa-8205	580	32	.	.	PUNCT
cjfa-8205	581	1	however	however	ADV
cjfa-8205	581	2	best	good	ADJ
cjfa-8205	581	3	average	average	ADJ
cjfa-8205	581	4	input	input	NOUN
cjfa-8205	581	5	set	set	NOUN
cjfa-8205	581	6	does	do	AUX
cjfa-8205	581	7	n’t	not	PART
cjfa-8205	581	8	include	include	VERB
cjfa-8205	581	9	month	month	NOUN
cjfa-8205	581	10	number	number	NOUN
cjfa-8205	581	11	and	and	CCONJ
cjfa-8205	581	12	day	day	NOUN
cjfa-8205	581	13	of	of	ADP
cjfa-8205	581	14	month	month	NOUN
cjfa-8205	581	15	in	in	ADP
cjfa-8205	581	16	best	good	ADJ
cjfa-8205	581	17	input	input	NOUN
cjfa-8205	581	18	set	set	NOUN
cjfa-8205	581	19	.	.	PUNCT
cjfa-8205	582	1	week	week	NOUN
cjfa-8205	582	2	number	number	NOUN
cjfa-8205	582	3	,	,	PUNCT
cjfa-8205	582	4	1–4	1–4	PROPN
cjfa-8205	582	5	previous	previous	ADJ
cjfa-8205	582	6	weeks	week	NOUN
cjfa-8205	582	7	cash	cash	NOUN
cjfa-8205	582	8	flows	flow	NOUN
cjfa-8205	582	9	are	be	AUX
cjfa-8205	582	10	related	relate	VERB
cjfa-8205	582	11	to	to	ADP
cjfa-8205	582	12	strong	strong	ADJ
cjfa-8205	582	13	weekly	weekly	ADJ
cjfa-8205	582	14	seasonality	seasonality	NOUN
cjfa-8205	582	15	and	and	CCONJ
cjfa-8205	582	16	moving	move	VERB
cjfa-8205	582	17	average	average	ADJ
cjfa-8205	582	18	(	(	PUNCT
cjfa-8205	582	19	9th	9th	ADJ
cjfa-8205	582	20	input	input	NOUN
cjfa-8205	582	21	)	)	PUNCT
cjfa-8205	582	22	lets	let	VERB
cjfa-8205	582	23	model	model	NOUN
cjfa-8205	582	24	more	more	ADV
cjfa-8205	582	25	adaptively	adaptively	ADV
cjfa-8205	582	26	react	react	VERB
cjfa-8205	582	27	to	to	ADP
cjfa-8205	582	28	recent	recent	ADJ
cjfa-8205	582	29	cash	cash	NOUN
cjfa-8205	582	30	flow	flow	NOUN
cjfa-8205	582	31	trend	trend	NOUN
cjfa-8205	582	32	variations	variation	NOUN
cjfa-8205	582	33	because	because	SCONJ
cjfa-8205	582	34	of	of	ADP
cjfa-8205	582	35	yearly	yearly	ADJ
cjfa-8205	582	36	seasonality	seasonality	NOUN
cjfa-8205	582	37	(	(	PUNCT
cjfa-8205	582	38	see	see	VERB
cjfa-8205	582	39	table	table	NOUN
cjfa-8205	582	40	1	1	NUM
cjfa-8205	582	41	)	)	PUNCT
cjfa-8205	582	42	.	.	PUNCT
cjfa-8205	583	1	evaluation	evaluation	NOUN
cjfa-8205	583	2	of	of	ADP
cjfa-8205	583	3	atm	atm	ADJ
cjfa-8205	583	4	cash	cash	NOUN
cjfa-8205	583	5	demand	demand	NOUN
cjfa-8205	583	6	process	process	NOUN
cjfa-8205	583	7	factors	factor	NOUN
cjfa-8205	583	8	…	…	PUNCT
cjfa-8205	583	9	223	223	NUM
cjfa-8205	583	10	■	■	PUNCT
cjfa-8205	583	11	atm	atm	ADJ
cjfa-8205	583	12	number	number	NOUN
cjfa-8205	583	13	3	3	NUM
cjfa-8205	583	14	:	:	PUNCT
cjfa-8205	583	15	results	result	NOUN
cjfa-8205	583	16	are	be	AUX
cjfa-8205	583	17	not	not	PART
cjfa-8205	583	18	so	so	ADV
cjfa-8205	583	19	affected	affect	VERB
cjfa-8205	583	20	by	by	ADP
cjfa-8205	583	21	history	history	NOUN
cjfa-8205	583	22	period	period	NOUN
cjfa-8205	583	23	length	length	NOUN
cjfa-8205	583	24	as	as	ADP
cjfa-8205	583	25	for	for	ADP
cjfa-8205	583	26	atm	atm	NOUN
cjfa-8205	583	27	2	2	NUM
cjfa-8205	583	28	case	case	NOUN
cjfa-8205	583	29	,	,	PUNCT
cjfa-8205	583	30	but	but	CCONJ
cjfa-8205	583	31	worst	bad	ADJ
cjfa-8205	583	32	results	result	NOUN
cjfa-8205	583	33	are	be	AUX
cjfa-8205	583	34	obtained	obtain	VERB
cjfa-8205	583	35	using	use	VERB
cjfa-8205	583	36	0.5year	0.5year	NUM
cjfa-8205	583	37	training	training	NOUN
cjfa-8205	583	38	also	also	ADV
cjfa-8205	583	39	.	.	PUNCT
cjfa-8205	584	1	month	month	NOUN
cjfa-8205	584	2	and	and	CCONJ
cjfa-8205	584	3	day	day	NOUN
cjfa-8205	584	4	of	of	ADP
cjfa-8205	584	5	the	the	DET
cjfa-8205	584	6	week	week	NOUN
cjfa-8205	584	7	numbers	number	NOUN
cjfa-8205	584	8	were	be	AUX
cjfa-8205	584	9	n’t	not	PART
cjfa-8205	584	10	included	include	VERB
cjfa-8205	584	11	in	in	ADP
cjfa-8205	584	12	best	good	ADJ
cjfa-8205	584	13	input	input	NOUN
cjfa-8205	584	14	set	set	NOUN
cjfa-8205	584	15	,	,	PUNCT
cjfa-8205	584	16	this	this	PRON
cjfa-8205	584	17	shows	show	VERB
cjfa-8205	584	18	that	that	SCONJ
cjfa-8205	584	19	no	no	DET
cjfa-8205	584	20	significant	significant	ADJ
cjfa-8205	584	21	weekly	weekly	ADJ
cjfa-8205	584	22	or	or	CCONJ
cjfa-8205	584	23	yearly	yearly	ADJ
cjfa-8205	584	24	seasonality	seasonality	NOUN
cjfa-8205	584	25	that	that	PRON
cjfa-8205	584	26	may	may	AUX
cjfa-8205	584	27	affect	affect	VERB
cjfa-8205	584	28	forecasting	forecasting	NOUN
cjfa-8205	584	29	took	take	VERB
cjfa-8205	584	30	place	place	NOUN
cjfa-8205	584	31	.	.	PUNCT
cjfa-8205	585	1	other	other	ADJ
cjfa-8205	585	2	included	include	VERB
cjfa-8205	585	3	inputs	input	NOUN
cjfa-8205	585	4	are	be	AUX
cjfa-8205	585	5	related	relate	VERB
cjfa-8205	585	6	to	to	ADP
cjfa-8205	585	7	monthly	monthly	ADJ
cjfa-8205	585	8	periodicity	periodicity	NOUN
cjfa-8205	585	9	and	and	CCONJ
cjfa-8205	585	10	help	help	VERB
cjfa-8205	585	11	to	to	PART
cjfa-8205	585	12	forecast	forecast	VERB
cjfa-8205	585	13	changing	change	VERB
cjfa-8205	585	14	monthly	monthly	ADJ
cjfa-8205	585	15	pattern	pattern	NOUN
cjfa-8205	585	16	.	.	PUNCT
cjfa-8205	586	1	■	■	PUNCT
cjfa-8205	586	2	atm	atm	ADJ
cjfa-8205	586	3	number	number	NOUN
cjfa-8205	586	4	4	4	NUM
cjfa-8205	586	5	:	:	PUNCT
cjfa-8205	586	6	surprisingly	surprisingly	ADV
cjfa-8205	586	7	as	as	ADP
cjfa-8205	586	8	for	for	ADP
cjfa-8205	586	9	yearly	yearly	ADJ
cjfa-8205	586	10	seasonality	seasonality	NOUN
cjfa-8205	586	11	in	in	ADP
cjfa-8205	586	12	atm	atm	NOUN
cjfa-8205	586	13	2	2	NUM
cjfa-8205	586	14	,	,	PUNCT
cjfa-8205	586	15	month	month	NOUN
cjfa-8205	586	16	number	number	NOUN
cjfa-8205	586	17	inputs	input	NOUN
cjfa-8205	586	18	were	be	AUX
cjfa-8205	586	19	n’t	not	PART
cjfa-8205	586	20	included	include	VERB
cjfa-8205	586	21	in	in	ADP
cjfa-8205	586	22	best	good	ADJ
cjfa-8205	586	23	input	input	NOUN
cjfa-8205	586	24	set	set	NOUN
cjfa-8205	586	25	,	,	PUNCT
cjfa-8205	586	26	even	even	ADV
cjfa-8205	586	27	though	though	SCONJ
cjfa-8205	586	28	this	this	DET
cjfa-8205	586	29	type	type	NOUN
cjfa-8205	586	30	of	of	ADP
cjfa-8205	586	31	atm	atm	NOUN
cjfa-8205	586	32	has	have	VERB
cjfa-8205	586	33	not	not	PART
cjfa-8205	586	34	so	so	ADV
cjfa-8205	586	35	smooth	smooth	ADJ
cjfa-8205	586	36	transition	transition	NOUN
cjfa-8205	586	37	of	of	ADP
cjfa-8205	586	38	yearly	yearly	ADJ
cjfa-8205	586	39	pattern	pattern	NOUN
cjfa-8205	586	40	.	.	PUNCT
cjfa-8205	587	1	this	this	PRON
cjfa-8205	587	2	might	might	AUX
cjfa-8205	587	3	be	be	AUX
cjfa-8205	587	4	explained	explain	VERB
cjfa-8205	587	5	by	by	ADP
cjfa-8205	587	6	more	more	ADV
cjfa-8205	587	7	strong	strong	ADJ
cjfa-8205	587	8	recent	recent	ADJ
cjfa-8205	587	9	cash	cash	NOUN
cjfa-8205	587	10	flow	flow	NOUN
cjfa-8205	587	11	value	value	NOUN
cjfa-8205	587	12	impacts	impact	NOUN
cjfa-8205	587	13	(	(	PUNCT
cjfa-8205	587	14	moving	move	VERB
cjfa-8205	587	15	average	average	ADJ
cjfa-8205	587	16	,	,	PUNCT
cjfa-8205	587	17	cash	cash	NOUN
cjfa-8205	587	18	flow	flow	NOUN
cjfa-8205	587	19	day	day	NOUN
cjfa-8205	587	20	before	before	ADV
cjfa-8205	587	21	,	,	PUNCT
cjfa-8205	587	22	or	or	CCONJ
cjfa-8205	587	23	1–4	1–4	NUM
cjfa-8205	587	24	previous	previous	ADJ
cjfa-8205	587	25	week	week	NOUN
cjfa-8205	587	26	cash	cash	NOUN
cjfa-8205	587	27	flows	flow	NOUN
cjfa-8205	587	28	)	)	PUNCT
cjfa-8205	587	29	for	for	ADP
cjfa-8205	587	30	sudden	sudden	ADJ
cjfa-8205	587	31	change	change	NOUN
cjfa-8205	587	32	in	in	ADP
cjfa-8205	587	33	cash	cash	NOUN
cjfa-8205	587	34	flow	flow	NOUN
cjfa-8205	587	35	than	than	ADP
cjfa-8205	587	36	yearly	yearly	ADV
cjfa-8205	587	37	-	-	PUNCT
cjfa-8205	587	38	related	relate	VERB
cjfa-8205	587	39	(	(	PUNCT
cjfa-8205	587	40	month	month	NOUN
cjfa-8205	587	41	number	number	NOUN
cjfa-8205	587	42	,	,	PUNCT
cjfa-8205	587	43	day	day	NOUN
cjfa-8205	587	44	of	of	ADP
cjfa-8205	587	45	month	month	NOUN
cjfa-8205	587	46	)	)	PUNCT
cjfa-8205	587	47	regression	regression	NOUN
cjfa-8205	587	48	input	input	NOUN
cjfa-8205	587	49	effects	effect	NOUN
cjfa-8205	587	50	even	even	ADV
cjfa-8205	587	51	though	though	SCONJ
cjfa-8205	587	52	yearly	yearly	ADJ
cjfa-8205	587	53	seasonality	seasonality	NOUN
cjfa-8205	587	54	is	be	AUX
cjfa-8205	587	55	strong	strong	ADJ
cjfa-8205	587	56	,	,	PUNCT
cjfa-8205	587	57	it	it	PRON
cjfa-8205	587	58	has	have	VERB
cjfa-8205	587	59	a	a	DET
cjfa-8205	587	60	quasi	quasi	ADJ
cjfa-8205	587	61	-	-	ADJ
cjfa-8205	587	62	periodic	periodic	ADJ
cjfa-8205	587	63	structure	structure	NOUN
cjfa-8205	587	64	and	and	CCONJ
cjfa-8205	587	65	values	value	NOUN
cjfa-8205	587	66	of	of	ADP
cjfa-8205	587	67	last	last	ADJ
cjfa-8205	587	68	year	year	NOUN
cjfa-8205	587	69	only	only	ADV
cjfa-8205	587	70	partially	partially	ADV
cjfa-8205	587	71	reoccur	reoccur	VERB
cjfa-8205	587	72	in	in	ADP
cjfa-8205	587	73	current	current	ADJ
cjfa-8205	587	74	year	year	NOUN
cjfa-8205	587	75	on	on	ADP
cjfa-8205	587	76	the	the	DET
cjfa-8205	587	77	same	same	ADJ
cjfa-8205	587	78	day	day	NOUN
cjfa-8205	587	79	.	.	PUNCT
cjfa-8205	588	1	however	however	ADV
cjfa-8205	588	2	as	as	ADP
cjfa-8205	588	3	for	for	ADP
cjfa-8205	588	4	atm	atm	ADJ
cjfa-8205	588	5	number	number	NOUN
cjfa-8205	588	6	2	2	NUM
cjfa-8205	588	7	,	,	PUNCT
cjfa-8205	588	8	long	long	ADJ
cjfa-8205	588	9	history	history	NOUN
cjfa-8205	588	10	is	be	AUX
cjfa-8205	588	11	more	more	ADV
cjfa-8205	588	12	necessary	necessary	ADJ
cjfa-8205	588	13	in	in	ADP
cjfa-8205	588	14	order	order	NOUN
cjfa-8205	588	15	to	to	PART
cjfa-8205	588	16	forecast	forecast	VERB
cjfa-8205	588	17	more	more	ADV
cjfa-8205	588	18	accurately	accurately	ADV
cjfa-8205	588	19	.	.	PUNCT
cjfa-8205	589	1	■	■	PUNCT
cjfa-8205	589	2	atm	atm	ADJ
cjfa-8205	589	3	number	number	NOUN
cjfa-8205	589	4	5	5	NUM
cjfa-8205	589	5	:	:	PUNCT
cjfa-8205	589	6	interesting	interesting	ADJ
cjfa-8205	589	7	results	result	NOUN
cjfa-8205	589	8	are	be	AUX
cjfa-8205	589	9	obtained	obtain	VERB
cjfa-8205	589	10	for	for	ADP
cjfa-8205	589	11	this	this	DET
cjfa-8205	589	12	kind	kind	NOUN
cjfa-8205	589	13	of	of	ADP
cjfa-8205	589	14	atm	atm	NOUN
cjfa-8205	589	15	.	.	PUNCT
cjfa-8205	590	1	as	as	SCONJ
cjfa-8205	590	2	expected	expect	VERB
cjfa-8205	590	3	,	,	PUNCT
cjfa-8205	590	4	most	most	ADV
cjfa-8205	590	5	accurate	accurate	ADJ
cjfa-8205	590	6	results	result	NOUN
cjfa-8205	590	7	for	for	ADP
cjfa-8205	590	8	most	most	ADJ
cjfa-8205	590	9	of	of	ADP
cjfa-8205	590	10	the	the	DET
cjfa-8205	590	11	inputs	input	NOUN
cjfa-8205	590	12	(	(	PUNCT
cjfa-8205	590	13	see	see	VERB
cjfa-8205	590	14	figure	figure	NOUN
cjfa-8205	590	15	in	in	ADP
cjfa-8205	590	16	appendix	appendix	NOUN
cjfa-8205	590	17	)	)	PUNCT
cjfa-8205	590	18	are	be	AUX
cjfa-8205	590	19	achieved	achieve	VERB
cjfa-8205	590	20	when	when	SCONJ
cjfa-8205	590	21	shortest	short	ADJ
cjfa-8205	590	22	history	history	NOUN
cjfa-8205	590	23	(	(	PUNCT
cjfa-8205	590	24	after	after	ADP
cjfa-8205	590	25	sudden	sudden	ADJ
cjfa-8205	590	26	cash	cash	NOUN
cjfa-8205	590	27	flow	flow	NOUN
cjfa-8205	590	28	process	process	NOUN
cjfa-8205	590	29	structural	structural	ADJ
cjfa-8205	590	30	break	break	NOUN
cjfa-8205	590	31	occurs	occur	VERB
cjfa-8205	590	32	)	)	PUNCT
cjfa-8205	590	33	is	be	AUX
cjfa-8205	590	34	used	use	VERB
cjfa-8205	590	35	.	.	PUNCT
cjfa-8205	591	1	this	this	PRON
cjfa-8205	591	2	is	be	AUX
cjfa-8205	591	3	because	because	SCONJ
cjfa-8205	591	4	cash	cash	NOUN
cjfa-8205	591	5	flow	flow	NOUN
cjfa-8205	591	6	training	training	NOUN
cjfa-8205	591	7	data	datum	NOUN
cjfa-8205	591	8	after	after	SCONJ
cjfa-8205	591	9	structural	structural	ADJ
cjfa-8205	591	10	break	break	NOUN
cjfa-8205	591	11	concludes	conclude	VERB
cjfa-8205	591	12	relatively	relatively	ADV
cjfa-8205	591	13	larger	large	ADJ
cjfa-8205	591	14	part	part	NOUN
cjfa-8205	591	15	of	of	ADP
cjfa-8205	591	16	training	train	VERB
cjfa-8205	591	17	examples	example	NOUN
cjfa-8205	591	18	than	than	ADP
cjfa-8205	591	19	for	for	ADP
cjfa-8205	591	20	longer	long	ADJ
cjfa-8205	591	21	period	period	NOUN
cjfa-8205	591	22	training	training	NOUN
cjfa-8205	591	23	data	datum	NOUN
cjfa-8205	591	24	.	.	PUNCT
cjfa-8205	592	1	so	so	ADV
cjfa-8205	592	2	model	model	NOUN
cjfa-8205	592	3	adapts	adapt	VERB
cjfa-8205	592	4	to	to	ADP
cjfa-8205	592	5	recent	recent	ADJ
cjfa-8205	592	6	break	break	NOUN
cjfa-8205	592	7	.	.	PUNCT
cjfa-8205	593	1	but	but	CCONJ
cjfa-8205	593	2	it	it	PRON
cjfa-8205	593	3	is	be	AUX
cjfa-8205	593	4	interesting	interesting	ADJ
cjfa-8205	593	5	that	that	SCONJ
cjfa-8205	593	6	this	this	DET
cjfa-8205	593	7	affect	affect	NOUN
cjfa-8205	593	8	is	be	AUX
cjfa-8205	593	9	only	only	ADV
cjfa-8205	593	10	partial	partial	ADJ
cjfa-8205	593	11	:	:	PUNCT
cjfa-8205	593	12	the	the	DET
cjfa-8205	593	13	results	result	NOUN
cjfa-8205	593	14	are	be	AUX
cjfa-8205	593	15	worse	bad	ADJ
cjfa-8205	593	16	for	for	ADP
cjfa-8205	593	17	1.5	1.5	NUM
cjfa-8205	593	18	year	year	NOUN
cjfa-8205	593	19	training	training	NOUN
cjfa-8205	593	20	,	,	PUNCT
cjfa-8205	593	21	but	but	CCONJ
cjfa-8205	593	22	for	for	ADP
cjfa-8205	593	23	2	2	NUM
cjfa-8205	593	24	year	year	NOUN
cjfa-8205	593	25	training	training	NOUN
cjfa-8205	593	26	accuracy	accuracy	NOUN
cjfa-8205	593	27	increases	increase	NOUN
cjfa-8205	593	28	.	.	PUNCT
cjfa-8205	594	1	this	this	PRON
cjfa-8205	594	2	is	be	AUX
cjfa-8205	594	3	explained	explain	VERB
cjfa-8205	594	4	integral	integral	ADJ
cjfa-8205	594	5	part	part	NOUN
cjfa-8205	594	6	of	of	ADP
cjfa-8205	594	7	atm	atm	ADJ
cjfa-8205	594	8	cash	cash	NOUN
cjfa-8205	594	9	flow	flow	NOUN
cjfa-8205	594	10	(	(	PUNCT
cjfa-8205	594	11	increasing	increase	VERB
cjfa-8205	594	12	trend	trend	NOUN
cjfa-8205	594	13	)	)	PUNCT
cjfa-8205	594	14	and	and	CCONJ
cjfa-8205	594	15	at	at	ADP
cjfa-8205	594	16	the	the	DET
cjfa-8205	594	17	beginning	beginning	NOUN
cjfa-8205	594	18	model	model	NOUN
cjfa-8205	594	19	learns	learn	VERB
cjfa-8205	594	20	small	small	ADJ
cjfa-8205	594	21	level	level	NOUN
cjfa-8205	594	22	cash	cash	NOUN
cjfa-8205	594	23	flow	flow	NOUN
cjfa-8205	594	24	relationship	relationship	NOUN
cjfa-8205	594	25	,	,	PUNCT
cjfa-8205	594	26	which	which	PRON
cjfa-8205	594	27	is	be	AUX
cjfa-8205	594	28	similar	similar	ADJ
cjfa-8205	594	29	to	to	ADP
cjfa-8205	594	30	that	that	PRON
cjfa-8205	594	31	after	after	ADP
cjfa-8205	594	32	the	the	DET
cjfa-8205	594	33	structural	structural	ADJ
cjfa-8205	594	34	break	break	NOUN
cjfa-8205	594	35	.	.	PUNCT
cjfa-8205	595	1	as	as	SCONJ
cjfa-8205	595	2	expected	expect	VERB
cjfa-8205	595	3	,	,	PUNCT
cjfa-8205	595	4	for	for	ADP
cjfa-8205	595	5	this	this	DET
cjfa-8205	595	6	kind	kind	NOUN
cjfa-8205	595	7	of	of	ADP
cjfa-8205	595	8	atms	atms	NOUN
cjfa-8205	595	9	with	with	ADP
cjfa-8205	595	10	structural	structural	ADJ
cjfa-8205	595	11	break	break	NOUN
cjfa-8205	595	12	,	,	PUNCT
cjfa-8205	595	13	inputs	input	VERB
cjfa-8205	595	14	that	that	PRON
cjfa-8205	595	15	encode	encode	VERB
cjfa-8205	595	16	recent	recent	ADJ
cjfa-8205	595	17	past	past	NOUN
cjfa-8205	595	18	are	be	AUX
cjfa-8205	595	19	more	more	ADV
cjfa-8205	595	20	effective	effective	ADJ
cjfa-8205	595	21	than	than	ADP
cjfa-8205	595	22	regression	regression	NOUN
cjfa-8205	595	23	inputs	input	NOUN
cjfa-8205	595	24	.	.	PUNCT
cjfa-8205	596	1	■	■	PUNCT
cjfa-8205	596	2	atm	atm	ADJ
cjfa-8205	596	3	number	number	NOUN
cjfa-8205	596	4	6	6	NUM
cjfa-8205	596	5	:	:	PUNCT
cjfa-8205	596	6	even	even	ADV
cjfa-8205	596	7	though	though	SCONJ
cjfa-8205	596	8	this	this	DET
cjfa-8205	596	9	atm	atm	NOUN
cjfa-8205	596	10	has	have	VERB
cjfa-8205	596	11	structural	structural	ADJ
cjfa-8205	596	12	break	break	NOUN
cjfa-8205	596	13	as	as	ADP
cjfa-8205	596	14	atm	atm	ADJ
cjfa-8205	596	15	number	number	NOUN
cjfa-8205	596	16	5	5	NUM
cjfa-8205	596	17	,	,	PUNCT
cjfa-8205	596	18	the	the	DET
cjfa-8205	596	19	structural	structural	ADJ
cjfa-8205	596	20	break	break	NOUN
cjfa-8205	596	21	impact	impact	NOUN
cjfa-8205	596	22	is	be	AUX
cjfa-8205	596	23	less	less	ADV
cjfa-8205	596	24	obvious	obvious	ADJ
cjfa-8205	596	25	.	.	PUNCT
cjfa-8205	597	1	this	this	PRON
cjfa-8205	597	2	might	might	AUX
cjfa-8205	597	3	be	be	AUX
cjfa-8205	597	4	related	relate	VERB
cjfa-8205	597	5	to	to	ADP
cjfa-8205	597	6	the	the	DET
cjfa-8205	597	7	direction	direction	NOUN
cjfa-8205	597	8	of	of	ADP
cjfa-8205	597	9	structural	structural	ADJ
cjfa-8205	597	10	break	break	NOUN
cjfa-8205	597	11	and	and	CCONJ
cjfa-8205	597	12	break	break	NOUN
cjfa-8205	597	13	level	level	NOUN
cjfa-8205	597	14	difference	difference	NOUN
cjfa-8205	597	15	.	.	PUNCT
cjfa-8205	598	1	an	an	DET
cjfa-8205	598	2	explanation	explanation	NOUN
cjfa-8205	598	3	of	of	ADP
cjfa-8205	598	4	forecasting	forecasting	NOUN
cjfa-8205	598	5	results	result	NOUN
cjfa-8205	598	6	is	be	AUX
cjfa-8205	598	7	more	more	ADV
cjfa-8205	598	8	difficult	difficult	ADJ
cjfa-8205	598	9	:	:	PUNCT
cjfa-8205	598	10	shortest	short	ADJ
cjfa-8205	598	11	history	history	NOUN
cjfa-8205	598	12	learning	learning	NOUN
cjfa-8205	598	13	is	be	AUX
cjfa-8205	598	14	not	not	PART
cjfa-8205	598	15	the	the	DET
cjfa-8205	598	16	best	good	ADJ
cjfa-8205	598	17	(	(	PUNCT
cjfa-8205	598	18	but	but	CCONJ
cjfa-8205	598	19	looking	look	VERB
cjfa-8205	598	20	at	at	ADP
cjfa-8205	598	21	figure	figure	NOUN
cjfa-8205	598	22	in	in	ADP
cjfa-8205	598	23	appendix	appendix	NOUN
cjfa-8205	598	24	seems	seem	VERB
cjfa-8205	598	25	worst	bad	ADJ
cjfa-8205	598	26	)	)	PUNCT
cjfa-8205	598	27	because	because	SCONJ
cjfa-8205	598	28	of	of	ADP
cjfa-8205	598	29	overfitting	overfitte	VERB
cjfa-8205	598	30	(	(	PUNCT
cjfa-8205	598	31	even	even	ADV
cjfa-8205	598	32	though	though	SCONJ
cjfa-8205	598	33	it	it	PRON
cjfa-8205	598	34	contains	contain	VERB
cjfa-8205	598	35	history	history	NOUN
cjfa-8205	598	36	without	without	ADP
cjfa-8205	598	37	structural	structural	ADJ
cjfa-8205	598	38	break	break	NOUN
cjfa-8205	598	39	)	)	PUNCT
cjfa-8205	598	40	because	because	SCONJ
cjfa-8205	598	41	of	of	ADP
cjfa-8205	598	42	too	too	ADV
cjfa-8205	598	43	short	short	ADJ
cjfa-8205	598	44	history	history	NOUN
cjfa-8205	598	45	training	training	NOUN
cjfa-8205	598	46	.	.	PUNCT
cjfa-8205	599	1	long	long	ADJ
cjfa-8205	599	2	history	history	NOUN
cjfa-8205	599	3	contains	contain	VERB
cjfa-8205	599	4	structural	structural	ADJ
cjfa-8205	599	5	break	break	NOUN
cjfa-8205	599	6	so	so	SCONJ
cjfa-8205	599	7	this	this	PRON
cjfa-8205	599	8	disturbs	disturb	VERB
cjfa-8205	599	9	model	model	NOUN
cjfa-8205	599	10	training	training	NOUN
cjfa-8205	599	11	and	and	CCONJ
cjfa-8205	599	12	overfittig	overfittig	PRON
cjfa-8205	599	13	also	also	ADV
cjfa-8205	599	14	takes	take	VERB
cjfa-8205	599	15	place	place	NOUN
cjfa-8205	599	16	.	.	PUNCT
cjfa-8205	600	1	day	day	NOUN
cjfa-8205	600	2	gediminas	gediminas	PROPN
cjfa-8205	600	3	žylius224	žylius224	PROPN
cjfa-8205	600	4	of	of	ADP
cjfa-8205	600	5	month	month	NOUN
cjfa-8205	600	6	input	input	NOUN
cjfa-8205	600	7	is	be	AUX
cjfa-8205	600	8	included	include	VERB
cjfa-8205	600	9	in	in	ADP
cjfa-8205	600	10	best	good	ADJ
cjfa-8205	600	11	input	input	NOUN
cjfa-8205	600	12	set	set	VERB
cjfa-8205	600	13	because	because	SCONJ
cjfa-8205	600	14	of	of	ADP
cjfa-8205	600	15	monthly	monthly	ADJ
cjfa-8205	600	16	seasonality	seasonality	NOUN
cjfa-8205	600	17	,	,	PUNCT
cjfa-8205	600	18	and	and	CCONJ
cjfa-8205	600	19	1–4	1–4	NUM
cjfa-8205	600	20	previous	previous	ADJ
cjfa-8205	600	21	week	week	NOUN
cjfa-8205	600	22	inputs	input	NOUN
cjfa-8205	600	23	add	add	VERB
cjfa-8205	600	24	to	to	ADP
cjfa-8205	600	25	both	both	CCONJ
cjfa-8205	600	26	weekly	weekly	ADJ
cjfa-8205	600	27	and	and	CCONJ
cjfa-8205	600	28	monthly	monthly	ADJ
cjfa-8205	600	29	(	(	PUNCT
cjfa-8205	600	30	because	because	SCONJ
cjfa-8205	600	31	of	of	ADP
cjfa-8205	600	32	4	4	NUM
cjfa-8205	600	33	weeks	week	NOUN
cjfa-8205	600	34	)	)	PUNCT
cjfa-8205	600	35	pattern	pattern	NOUN
cjfa-8205	600	36	forecasting	forecasting	NOUN
cjfa-8205	600	37	.	.	PUNCT
cjfa-8205	601	1	but	but	CCONJ
cjfa-8205	601	2	moving	move	VERB
cjfa-8205	601	3	average	average	ADJ
cjfa-8205	601	4	and	and	CCONJ
cjfa-8205	601	5	previous	previous	ADJ
cjfa-8205	601	6	day	day	NOUN
cjfa-8205	601	7	cash	cash	NOUN
cjfa-8205	601	8	flow	flow	NOUN
cjfa-8205	601	9	inputs	input	NOUN
cjfa-8205	601	10	were	be	AUX
cjfa-8205	601	11	not	not	PART
cjfa-8205	601	12	included	include	VERB
cjfa-8205	601	13	.	.	PUNCT
cjfa-8205	602	1	this	this	PRON
cjfa-8205	602	2	might	might	AUX
cjfa-8205	602	3	be	be	AUX
cjfa-8205	602	4	because	because	SCONJ
cjfa-8205	602	5	of	of	ADP
cjfa-8205	602	6	too	too	ADV
cjfa-8205	602	7	small	small	ADJ
cjfa-8205	602	8	structural	structural	ADJ
cjfa-8205	602	9	break	break	NOUN
cjfa-8205	602	10	.	.	PUNCT
cjfa-8205	603	1	however	however	ADV
cjfa-8205	603	2	1–4	1–4	NUM
cjfa-8205	603	3	previous	previous	ADJ
cjfa-8205	603	4	week	week	NOUN
cjfa-8205	603	5	cash	cash	NOUN
cjfa-8205	603	6	flow	flow	NOUN
cjfa-8205	603	7	inputs	input	NOUN
cjfa-8205	603	8	contain	contain	VERB
cjfa-8205	603	9	recent	recent	ADJ
cjfa-8205	603	10	past	past	ADJ
cjfa-8205	603	11	information	information	NOUN
cjfa-8205	603	12	together	together	ADV
cjfa-8205	603	13	encoding	encode	VERB
cjfa-8205	603	14	weekly	weekly	ADJ
cjfa-8205	603	15	and	and	CCONJ
cjfa-8205	603	16	monthly	monthly	ADJ
cjfa-8205	603	17	seasonality	seasonality	NOUN
cjfa-8205	603	18	patterns	pattern	NOUN
cjfa-8205	603	19	.	.	PUNCT
cjfa-8205	604	1	■	■	PUNCT
cjfa-8205	604	2	atm	atm	ADJ
cjfa-8205	604	3	number	number	NOUN
cjfa-8205	604	4	7	7	NUM
cjfa-8205	604	5	:	:	PUNCT
cjfa-8205	604	6	because	because	SCONJ
cjfa-8205	604	7	temporal	temporal	ADJ
cjfa-8205	604	8	structural	structural	ADJ
cjfa-8205	604	9	break	break	NOUN
cjfa-8205	604	10	was	be	AUX
cjfa-8205	604	11	relatively	relatively	ADV
cjfa-8205	604	12	short	short	ADJ
cjfa-8205	604	13	,	,	PUNCT
cjfa-8205	604	14	2	2	NUM
cjfa-8205	604	15	year	year	NOUN
cjfa-8205	604	16	training	training	NOUN
cjfa-8205	604	17	still	still	ADV
cjfa-8205	604	18	performed	perform	VERB
cjfa-8205	604	19	best	well	ADV
cjfa-8205	604	20	.	.	PUNCT
cjfa-8205	605	1	1	1	NUM
cjfa-8205	605	2	year	year	NOUN
cjfa-8205	605	3	training	training	NOUN
cjfa-8205	605	4	performed	perform	VERB
cjfa-8205	605	5	worst	bad	ADJ
cjfa-8205	605	6	because	because	SCONJ
cjfa-8205	605	7	full	full	ADJ
cjfa-8205	605	8	temporal	temporal	ADJ
cjfa-8205	605	9	break	break	NOUN
cjfa-8205	605	10	was	be	AUX
cjfa-8205	605	11	included	include	VERB
cjfa-8205	605	12	and	and	CCONJ
cjfa-8205	605	13	concluded	conclude	VERB
cjfa-8205	605	14	biggest	big	ADJ
cjfa-8205	605	15	part	part	NOUN
cjfa-8205	605	16	of	of	ADP
cjfa-8205	605	17	training	training	NOUN
cjfa-8205	605	18	data	datum	NOUN
cjfa-8205	605	19	compared	compare	VERB
cjfa-8205	605	20	to	to	ADP
cjfa-8205	605	21	2	2	NUM
cjfa-8205	605	22	or	or	CCONJ
cjfa-8205	605	23	1.5	1.5	NUM
cjfa-8205	605	24	year	year	NOUN
cjfa-8205	605	25	training	training	NOUN
cjfa-8205	605	26	cases	case	NOUN
cjfa-8205	605	27	and	and	CCONJ
cjfa-8205	605	28	this	this	DET
cjfa-8205	605	29	lead	lead	NOUN
cjfa-8205	605	30	to	to	ADP
cjfa-8205	605	31	model	model	NOUN
cjfa-8205	605	32	overfitting	overfitting	NOUN
cjfa-8205	605	33	.	.	PUNCT
cjfa-8205	606	1	0.5	0.5	NUM
cjfa-8205	606	2	year	year	NOUN
cjfa-8205	606	3	training	training	NOUN
cjfa-8205	606	4	did	do	AUX
cjfa-8205	606	5	n’t	not	PART
cjfa-8205	606	6	include	include	VERB
cjfa-8205	606	7	temporal	temporal	ADJ
cjfa-8205	606	8	structural	structural	ADJ
cjfa-8205	606	9	break	break	NOUN
cjfa-8205	606	10	part	part	NOUN
cjfa-8205	606	11	,	,	PUNCT
cjfa-8205	606	12	but	but	CCONJ
cjfa-8205	606	13	did	do	AUX
cjfa-8205	606	14	n’t	not	PART
cjfa-8205	606	15	perform	perform	VERB
cjfa-8205	606	16	best	good	ADJ
cjfa-8205	606	17	because	because	SCONJ
cjfa-8205	606	18	of	of	ADP
cjfa-8205	606	19	too	too	ADV
cjfa-8205	606	20	short	short	ADJ
cjfa-8205	606	21	training	training	NOUN
cjfa-8205	606	22	history	history	NOUN
cjfa-8205	606	23	.	.	PUNCT
cjfa-8205	607	1	because	because	SCONJ
cjfa-8205	607	2	of	of	ADP
cjfa-8205	607	3	weekly	weekly	ADJ
cjfa-8205	607	4	seasonality	seasonality	NOUN
cjfa-8205	607	5	,	,	PUNCT
cjfa-8205	607	6	best	good	ADJ
cjfa-8205	607	7	input	input	NOUN
cjfa-8205	607	8	set	set	NOUN
cjfa-8205	607	9	included	include	VERB
cjfa-8205	607	10	related	related	ADJ
cjfa-8205	607	11	inputs	input	NOUN
cjfa-8205	607	12	.	.	PUNCT
cjfa-8205	608	1	■	■	PUNCT
cjfa-8205	608	2	atm	atm	ADJ
cjfa-8205	608	3	number	number	NOUN
cjfa-8205	608	4	8	8	NUM
cjfa-8205	608	5	:	:	PUNCT
cjfa-8205	608	6	looking	look	VERB
cjfa-8205	608	7	at	at	ADP
cjfa-8205	608	8	figure	figure	NOUN
cjfa-8205	608	9	in	in	ADP
cjfa-8205	608	10	appendix	appendix	NOUN
cjfa-8205	608	11	it	it	PRON
cjfa-8205	608	12	is	be	AUX
cjfa-8205	608	13	seen	see	VERB
cjfa-8205	608	14	that	that	SCONJ
cjfa-8205	608	15	using	use	VERB
cjfa-8205	608	16	2	2	NUM
cjfa-8205	608	17	year	year	NOUN
cjfa-8205	608	18	history	history	NOUN
cjfa-8205	608	19	training	training	NOUN
cjfa-8205	608	20	is	be	AUX
cjfa-8205	608	21	worst	bad	ADJ
cjfa-8205	608	22	case	case	NOUN
cjfa-8205	608	23	for	for	ADP
cjfa-8205	608	24	most	most	ADJ
cjfa-8205	608	25	input	input	NOUN
cjfa-8205	608	26	sets	set	NOUN
cjfa-8205	608	27	,	,	PUNCT
cjfa-8205	608	28	so	so	SCONJ
cjfa-8205	608	29	this	this	PRON
cjfa-8205	608	30	means	mean	VERB
cjfa-8205	608	31	that	that	SCONJ
cjfa-8205	608	32	if	if	SCONJ
cjfa-8205	608	33	atm	atm	NOUN
cjfa-8205	608	34	has	have	AUX
cjfa-8205	608	35	growing	grow	VERB
cjfa-8205	608	36	tendency	tendency	NOUN
cjfa-8205	608	37	,	,	PUNCT
cjfa-8205	608	38	forgetting	forget	VERB
cjfa-8205	608	39	the	the	DET
cjfa-8205	608	40	past	past	NOUN
cjfa-8205	608	41	is	be	AUX
cjfa-8205	608	42	good	good	ADJ
cjfa-8205	608	43	,	,	PUNCT
cjfa-8205	608	44	but	but	CCONJ
cjfa-8205	608	45	too	too	ADV
cjfa-8205	608	46	few	few	ADJ
cjfa-8205	608	47	training	training	NOUN
cjfa-8205	608	48	values	value	NOUN
cjfa-8205	608	49	will	will	AUX
cjfa-8205	608	50	not	not	PART
cjfa-8205	608	51	train	train	VERB
cjfa-8205	608	52	the	the	DET
cjfa-8205	608	53	model	model	NOUN
cjfa-8205	608	54	with	with	ADP
cjfa-8205	608	55	maximum	maximum	ADJ
cjfa-8205	608	56	accuracy	accuracy	NOUN
cjfa-8205	608	57	,	,	PUNCT
cjfa-8205	608	58	so	so	ADV
cjfa-8205	608	59	proper	proper	ADJ
cjfa-8205	608	60	decision	decision	NOUN
cjfa-8205	608	61	for	for	ADP
cjfa-8205	608	62	model	model	NOUN
cjfa-8205	608	63	training	training	NOUN
cjfa-8205	608	64	is	be	AUX
cjfa-8205	608	65	needed	need	VERB
cjfa-8205	608	66	because	because	SCONJ
cjfa-8205	608	67	of	of	ADP
cjfa-8205	608	68	short	short	ADJ
cjfa-8205	608	69	and	and	CCONJ
cjfa-8205	608	70	long	long	ADJ
cjfa-8205	608	71	history	history	NOUN
cjfa-8205	608	72	training	train	VERB
cjfa-8205	608	73	trade	trade	NOUN
cjfa-8205	608	74	-	-	PUNCT
cjfa-8205	608	75	off	off	NOUN
cjfa-8205	608	76	.	.	PUNCT
cjfa-8205	609	1	moving	move	VERB
cjfa-8205	609	2	average	average	ADJ
cjfa-8205	609	3	input	input	NOUN
cjfa-8205	609	4	is	be	AUX
cjfa-8205	609	5	selected	select	VERB
cjfa-8205	609	6	to	to	PART
cjfa-8205	609	7	best	good	ADJ
cjfa-8205	609	8	input	input	NOUN
cjfa-8205	609	9	set	set	VERB
cjfa-8205	609	10	and	and	CCONJ
cjfa-8205	609	11	helps	help	VERB
cjfa-8205	609	12	when	when	SCONJ
cjfa-8205	609	13	with	with	ADP
cjfa-8205	609	14	trend	trend	NOUN
cjfa-8205	609	15	forecasting	forecasting	NOUN
cjfa-8205	609	16	,	,	PUNCT
cjfa-8205	609	17	weekly	weekly	ADV
cjfa-8205	609	18	-	-	PUNCT
cjfa-8205	609	19	related	relate	VERB
cjfa-8205	609	20	inputs	input	NOUN
cjfa-8205	609	21	correspond	correspond	VERB
cjfa-8205	609	22	to	to	ADP
cjfa-8205	609	23	weekly	weekly	ADJ
cjfa-8205	609	24	seasonality	seasonality	NOUN
cjfa-8205	609	25	factors	factor	NOUN
cjfa-8205	609	26	in	in	ADP
cjfa-8205	609	27	atm	atm	NOUN
cjfa-8205	609	28	cash	cash	NOUN
cjfa-8205	609	29	flow	flow	NOUN
cjfa-8205	609	30	process	process	NOUN
cjfa-8205	609	31	.	.	PUNCT
cjfa-8205	610	1	table	table	NOUN
cjfa-8205	610	2	1	1	NUM
cjfa-8205	610	3	.	.	PUNCT
cjfa-8205	611	1	forecasting	forecasting	NOUN
cjfa-8205	611	2	results	result	NOUN
cjfa-8205	611	3	(	(	PUNCT
cjfa-8205	611	4	in	in	ADP
cjfa-8205	611	5	smape	smape	NOUN
cjfa-8205	611	6	,	,	PUNCT
cjfa-8205	611	7	%	%	INTJ
cjfa-8205	611	8	)	)	PUNCT
cjfa-8205	611	9	over	over	ADP
cjfa-8205	611	10	all	all	DET
cjfa-8205	611	11	forecasting	forecasting	NOUN
cjfa-8205	611	12	models	model	NOUN
cjfa-8205	611	13	for	for	ADP
cjfa-8205	611	14	every	every	DET
cjfa-8205	611	15	atm	atm	NOUN
cjfa-8205	611	16	atm	atm	NOUN
cjfa-8205	611	17	number	number	NOUN
cjfa-8205	611	18	1	1	NUM
cjfa-8205	611	19	2	2	NUM
cjfa-8205	611	20	3	3	NUM
cjfa-8205	611	21	4	4	NUM
cjfa-8205	611	22	5	5	NUM
cjfa-8205	611	23	6	6	NUM
cjfa-8205	611	24	7	7	NUM
cjfa-8205	611	25	8	8	NUM
cjfa-8205	611	26	2	2	NUM
cjfa-8205	611	27	year/800	year/800	PROPN
cjfa-8205	611	28	days	day	NOUN
cjfa-8205	611	29	training	training	NOUN
cjfa-8205	611	30	(	(	PUNCT
cjfa-8205	611	31	best	good	ADJ
cjfa-8205	611	32	avg	avg	PROPN
cjfa-8205	611	33	.	.	PROPN
cjfa-8205	611	34	inputs	inputs	PROPN
cjfa-8205	611	35	)	)	PUNCT
cjfa-8205	611	36	40.64	40.64	NUM
cjfa-8205	611	37	59.84	59.84	NUM
cjfa-8205	611	38	66.30	66.30	NUM
cjfa-8205	611	39	55.00	55.00	NUM
cjfa-8205	611	40	83.27	83.27	NUM
cjfa-8205	611	41	39.30	39.30	NUM
cjfa-8205	611	42	50.94	50.94	NUM
cjfa-8205	611	43	43.04	43.04	NUM
cjfa-8205	611	44	1.5	1.5	NUM
cjfa-8205	611	45	year/400	year/400	NOUN
cjfa-8205	611	46	days	day	NOUN
cjfa-8205	611	47	training	training	NOUN
cjfa-8205	611	48	(	(	PUNCT
cjfa-8205	611	49	best	good	ADJ
cjfa-8205	611	50	avg	avg	PROPN
cjfa-8205	611	51	.	.	PROPN
cjfa-8205	611	52	inputs	inputs	PROPN
cjfa-8205	611	53	)	)	PUNCT
cjfa-8205	611	54	39.88	39.88	NUM
cjfa-8205	611	55	61.53	61.53	NUM
cjfa-8205	611	56	67.02	67.02	NUM
cjfa-8205	611	57	56.70	56.70	NUM
cjfa-8205	611	58	85.38	85.38	NUM
cjfa-8205	611	59	40.21	40.21	NUM
cjfa-8205	611	60	51.16	51.16	NUM
cjfa-8205	611	61	43.09	43.09	NUM
cjfa-8205	611	62	1	1	NUM
cjfa-8205	611	63	year/200	year/200	PROPN
cjfa-8205	611	64	days	day	NOUN
cjfa-8205	611	65	training	training	NOUN
cjfa-8205	611	66	(	(	PUNCT
cjfa-8205	611	67	best	good	ADJ
cjfa-8205	611	68	avg	avg	PROPN
cjfa-8205	611	69	.	.	PROPN
cjfa-8205	611	70	inputs	inputs	PROPN
cjfa-8205	611	71	)	)	PUNCT
cjfa-8205	611	72	40.55	40.55	NUM
cjfa-8205	611	73	64.66	64.66	NUM
cjfa-8205	611	74	70.05	70.05	NUM
cjfa-8205	611	75	57.35	57.35	NUM
cjfa-8205	611	76	80.89	80.89	NUM
cjfa-8205	611	77	39.76	39.76	NUM
cjfa-8205	611	78	51.80	51.80	NUM
cjfa-8205	611	79	42.60	42.60	NUM
cjfa-8205	611	80	0.5	0.5	NUM
cjfa-8205	611	81	year/100	year/100	PROPN
cjfa-8205	611	82	days	day	NOUN
cjfa-8205	611	83	training	training	NOUN
cjfa-8205	611	84	(	(	PUNCT
cjfa-8205	611	85	best	good	ADJ
cjfa-8205	611	86	avg	avg	PROPN
cjfa-8205	611	87	.	.	PROPN
cjfa-8205	611	88	inputs	inputs	PROPN
cjfa-8205	611	89	)	)	PUNCT
cjfa-8205	611	90	40.95	40.95	NUM
cjfa-8205	611	91	67,07	67,07	NUM
cjfa-8205	611	92	69.96	69.96	NUM
cjfa-8205	611	93	57.27	57.27	NUM
cjfa-8205	611	94	82.48	82.48	NUM
cjfa-8205	611	95	42.61	42.61	NUM
cjfa-8205	611	96	51.24	51.24	NUM
cjfa-8205	611	97	43.26	43.26	NUM
cjfa-8205	611	98	best	good	ADJ
cjfa-8205	611	99	avg	avg	PROPN
cjfa-8205	611	100	.	.	PROPN
cjfa-8205	611	101	inputs	input	VERB
cjfa-8205	611	102	5	5	NUM
cjfa-8205	611	103	6	6	NUM
cjfa-8205	611	104	7	7	NUM
cjfa-8205	611	105	8	8	NUM
cjfa-8205	611	106	3	3	NUM
cjfa-8205	611	107	5	5	NUM
cjfa-8205	611	108	6	6	NUM
cjfa-8205	611	109	7	7	NUM
cjfa-8205	611	110	8	8	NUM
cjfa-8205	611	111	9	9	NUM
cjfa-8205	611	112	2	2	NUM
cjfa-8205	611	113	4	4	NUM
cjfa-8205	611	114	5	5	NUM
cjfa-8205	611	115	6	6	NUM
cjfa-8205	611	116	7	7	NUM
cjfa-8205	611	117	8	8	NUM
cjfa-8205	611	118	9	9	NUM
cjfa-8205	611	119	3	3	NUM
cjfa-8205	611	120	4	4	NUM
cjfa-8205	611	121	9	9	NUM
cjfa-8205	611	122	5	5	NUM
cjfa-8205	611	123	6	6	NUM
cjfa-8205	611	124	7	7	NUM
cjfa-8205	611	125	8	8	NUM
cjfa-8205	611	126	9	9	NUM
cjfa-8205	611	127	2	2	NUM
cjfa-8205	611	128	3	3	NUM
cjfa-8205	611	129	5	5	NUM
cjfa-8205	611	130	6	6	NUM
cjfa-8205	611	131	7	7	NUM
cjfa-8205	611	132	8	8	NUM
cjfa-8205	611	133	3	3	NUM
cjfa-8205	611	134	5	5	NUM
cjfa-8205	611	135	6	6	NUM
cjfa-8205	611	136	7	7	NUM
cjfa-8205	611	137	8	8	NUM
cjfa-8205	611	138	3	3	NUM
cjfa-8205	611	139	5	5	NUM
cjfa-8205	611	140	6	6	NUM
cjfa-8205	611	141	7	7	NUM
cjfa-8205	611	142	8	8	NUM
cjfa-8205	611	143	9	9	NUM
cjfa-8205	611	144	2	2	NUM
cjfa-8205	611	145	year/800	year/800	PROPN
cjfa-8205	611	146	days	day	NOUN
cjfa-8205	611	147	training	training	NOUN
cjfa-8205	611	148	(	(	PUNCT
cjfa-8205	611	149	best	good	ADJ
cjfa-8205	611	150	2	2	NUM
cjfa-8205	611	151	year/800	year/800	PROPN
cjfa-8205	611	152	days	day	NOUN
cjfa-8205	611	153	inputs	input	NOUN
cjfa-8205	611	154	)	)	PUNCT
cjfa-8205	611	155	40.64	40.64	NUM
cjfa-8205	611	156	59.84	59.84	NUM
cjfa-8205	611	157	66.30	66.30	NUM
cjfa-8205	611	158	55.00	55.00	NUM
cjfa-8205	611	159	82.40	82.40	NUM
cjfa-8205	611	160	39.30	39.30	NUM
cjfa-8205	611	161	50.71	50.71	NUM
cjfa-8205	611	162	43.04	43.04	NUM
cjfa-8205	611	163	evaluation	evaluation	NOUN
cjfa-8205	611	164	of	of	ADP
cjfa-8205	611	165	atm	atm	ADJ
cjfa-8205	611	166	cash	cash	NOUN
cjfa-8205	611	167	demand	demand	NOUN
cjfa-8205	611	168	process	process	NOUN
cjfa-8205	611	169	factors	factor	NOUN
cjfa-8205	611	170	…	…	PUNCT
cjfa-8205	611	171	225	225	NUM
cjfa-8205	611	172	atm	atm	NOUN
cjfa-8205	611	173	number	number	NOUN
cjfa-8205	611	174	1	1	NUM
cjfa-8205	611	175	2	2	NUM
cjfa-8205	611	176	3	3	NUM
cjfa-8205	611	177	4	4	NUM
cjfa-8205	611	178	5	5	NUM
cjfa-8205	611	179	6	6	NUM
cjfa-8205	611	180	7	7	NUM
cjfa-8205	611	181	8	8	NUM
cjfa-8205	611	182	best	good	ADJ
cjfa-8205	611	183	2	2	NUM
cjfa-8205	611	184	year/800	year/800	PROPN
cjfa-8205	611	185	days	day	NOUN
cjfa-8205	611	186	inputs	input	VERB
cjfa-8205	611	187	5	5	NUM
cjfa-8205	611	188	6	6	NUM
cjfa-8205	611	189	7	7	NUM
cjfa-8205	611	190	8	8	NUM
cjfa-8205	611	191	3	3	NUM
cjfa-8205	611	192	5	5	NUM
cjfa-8205	611	193	6	6	NUM
cjfa-8205	611	194	7	7	NUM
cjfa-8205	611	195	8	8	NUM
cjfa-8205	611	196	9	9	NUM
cjfa-8205	611	197	2	2	NUM
cjfa-8205	611	198	4	4	NUM
cjfa-8205	611	199	5	5	NUM
cjfa-8205	611	200	6	6	NUM
cjfa-8205	611	201	7	7	NUM
cjfa-8205	611	202	8	8	NUM
cjfa-8205	611	203	9	9	NUM
cjfa-8205	611	204	3	3	NUM
cjfa-8205	611	205	4	4	NUM
cjfa-8205	611	206	9	9	NUM
cjfa-8205	611	207	9	9	NUM
cjfa-8205	611	208	2	2	NUM
cjfa-8205	611	209	3	3	NUM
cjfa-8205	611	210	5	5	NUM
cjfa-8205	611	211	6	6	NUM
cjfa-8205	611	212	7	7	NUM
cjfa-8205	611	213	8	8	NUM
cjfa-8205	611	214	2	2	NUM
cjfa-8205	611	215	3	3	NUM
cjfa-8205	611	216	5	5	NUM
cjfa-8205	611	217	6	6	NUM
cjfa-8205	611	218	7	7	NUM
cjfa-8205	611	219	8	8	NUM
cjfa-8205	611	220	3	3	NUM
cjfa-8205	611	221	5	5	NUM
cjfa-8205	611	222	6	6	NUM
cjfa-8205	611	223	7	7	NUM
cjfa-8205	611	224	8	8	NUM
cjfa-8205	611	225	9	9	NUM
cjfa-8205	611	226	1.5	1.5	NUM
cjfa-8205	611	227	year/400	year/400	NOUN
cjfa-8205	611	228	days	day	NOUN
cjfa-8205	611	229	training	training	NOUN
cjfa-8205	611	230	(	(	PUNCT
cjfa-8205	611	231	best	good	ADJ
cjfa-8205	611	232	1.5	1.5	NUM
cjfa-8205	611	233	year/400	year/400	NOUN
cjfa-8205	611	234	days	day	NOUN
cjfa-8205	611	235	inputs	input	NOUN
cjfa-8205	611	236	)	)	PUNCT
cjfa-8205	611	237	39.42	39.42	NUM
cjfa-8205	611	238	61.53	61.53	NUM
cjfa-8205	611	239	66.92	66.92	NUM
cjfa-8205	611	240	55.71	55.71	NUM
cjfa-8205	611	241	83.31	83.31	NUM
cjfa-8205	611	242	40.21	40.21	NUM
cjfa-8205	611	243	51.16	51.16	NUM
cjfa-8205	611	244	43.09	43.09	NUM
cjfa-8205	611	245	best	good	ADJ
cjfa-8205	611	246	1.5	1.5	NUM
cjfa-8205	611	247	year/400	year/400	NOUN
cjfa-8205	611	248	days	day	NOUN
cjfa-8205	611	249	inputs	input	VERB
cjfa-8205	611	250	3	3	NUM
cjfa-8205	611	251	5	5	NUM
cjfa-8205	611	252	6	6	NUM
cjfa-8205	611	253	7	7	NUM
cjfa-8205	611	254	8	8	NUM
cjfa-8205	611	255	3	3	NUM
cjfa-8205	611	256	5	5	NUM
cjfa-8205	611	257	6	6	NUM
cjfa-8205	611	258	7	7	NUM
cjfa-8205	611	259	8	8	NUM
cjfa-8205	611	260	9	9	NUM
cjfa-8205	611	261	2	2	NUM
cjfa-8205	611	262	4	4	NUM
cjfa-8205	611	263	5	5	NUM
cjfa-8205	611	264	6	6	NUM
cjfa-8205	611	265	7	7	NUM
cjfa-8205	611	266	8	8	NUM
cjfa-8205	611	267	3	3	NUM
cjfa-8205	611	268	9	9	NUM
cjfa-8205	611	269	9	9	NUM
cjfa-8205	611	270	2	2	NUM
cjfa-8205	611	271	3	3	NUM
cjfa-8205	611	272	5	5	NUM
cjfa-8205	611	273	6	6	NUM
cjfa-8205	611	274	7	7	NUM
cjfa-8205	611	275	8	8	NUM
cjfa-8205	611	276	3	3	NUM
cjfa-8205	611	277	5	5	NUM
cjfa-8205	611	278	6	6	NUM
cjfa-8205	611	279	7	7	NUM
cjfa-8205	611	280	8	8	NUM
cjfa-8205	611	281	3	3	NUM
cjfa-8205	611	282	5	5	NUM
cjfa-8205	611	283	6	6	NUM
cjfa-8205	611	284	7	7	NUM
cjfa-8205	611	285	8	8	NUM
cjfa-8205	611	286	9	9	NUM
cjfa-8205	611	287	1	1	NUM
cjfa-8205	611	288	year/200	year/200	PROPN
cjfa-8205	611	289	days	day	NOUN
cjfa-8205	611	290	training	training	NOUN
cjfa-8205	611	291	(	(	PUNCT
cjfa-8205	611	292	best	good	ADJ
cjfa-8205	611	293	1	1	NUM
cjfa-8205	611	294	year/200	year/200	PROPN
cjfa-8205	611	295	days	day	NOUN
cjfa-8205	611	296	inputs	input	NOUN
cjfa-8205	611	297	)	)	PUNCT
cjfa-8205	611	298	40.55	40.55	NUM
cjfa-8205	612	1	64.66	64.66	NUM
cjfa-8205	612	2	67.24	67.24	NUM
cjfa-8205	612	3	56.72	56.72	NUM
cjfa-8205	612	4	80.89	80.89	NUM
cjfa-8205	612	5	39.76	39.76	NUM
cjfa-8205	612	6	51.74	51.74	NUM
cjfa-8205	612	7	42.60	42.60	NUM
cjfa-8205	612	8	best	good	ADJ
cjfa-8205	612	9	1	1	NUM
cjfa-8205	612	10	year/200	year/200	PROPN
cjfa-8205	612	11	days	day	NOUN
cjfa-8205	612	12	inputs	input	VERB
cjfa-8205	612	13	5	5	NUM
cjfa-8205	612	14	6	6	NUM
cjfa-8205	612	15	7	7	NUM
cjfa-8205	612	16	8	8	NUM
cjfa-8205	612	17	3	3	NUM
cjfa-8205	612	18	5	5	NUM
cjfa-8205	612	19	6	6	NUM
cjfa-8205	612	20	7	7	NUM
cjfa-8205	612	21	8	8	NUM
cjfa-8205	612	22	9	9	NUM
cjfa-8205	612	23	1	1	NUM
cjfa-8205	612	24	2	2	NUM
cjfa-8205	612	25	4	4	NUM
cjfa-8205	612	26	5	5	NUM
cjfa-8205	612	27	6	6	NUM
cjfa-8205	612	28	7	7	NUM
cjfa-8205	612	29	8	8	NUM
cjfa-8205	612	30	1	1	NUM
cjfa-8205	612	31	3	3	NUM
cjfa-8205	612	32	4	4	NUM
cjfa-8205	612	33	5	5	NUM
cjfa-8205	612	34	6	6	NUM
cjfa-8205	612	35	7	7	NUM
cjfa-8205	612	36	8	8	NUM
cjfa-8205	612	37	9	9	NUM
cjfa-8205	612	38	5	5	NUM
cjfa-8205	612	39	6	6	NUM
cjfa-8205	612	40	7	7	NUM
cjfa-8205	612	41	8	8	NUM
cjfa-8205	612	42	9	9	NUM
cjfa-8205	612	43	2	2	NUM
cjfa-8205	612	44	3	3	NUM
cjfa-8205	612	45	5	5	NUM
cjfa-8205	612	46	6	6	NUM
cjfa-8205	612	47	7	7	NUM
cjfa-8205	612	48	8	8	NUM
cjfa-8205	612	49	2	2	NUM
cjfa-8205	612	50	3	3	NUM
cjfa-8205	612	51	4	4	NUM
cjfa-8205	612	52	5	5	NUM
cjfa-8205	612	53	6	6	NUM
cjfa-8205	612	54	7	7	NUM
cjfa-8205	612	55	8	8	NUM
cjfa-8205	612	56	3	3	NUM
cjfa-8205	612	57	5	5	NUM
cjfa-8205	612	58	6	6	NUM
cjfa-8205	612	59	7	7	NUM
cjfa-8205	612	60	8	8	NUM
cjfa-8205	612	61	9	9	NUM
cjfa-8205	612	62	0.5	0.5	NUM
cjfa-8205	612	63	year/100	year/100	NOUN
cjfa-8205	612	64	days	day	NOUN
cjfa-8205	612	65	training	training	NOUN
cjfa-8205	612	66	(	(	PUNCT
cjfa-8205	612	67	best	good	ADJ
cjfa-8205	612	68	0.5	0.5	NUM
cjfa-8205	612	69	year/100	year/100	PROPN
cjfa-8205	612	70	days	day	NOUN
cjfa-8205	612	71	inputs	input	NOUN
cjfa-8205	612	72	)	)	PUNCT
cjfa-8205	612	73	40.95	40.95	NUM
cjfa-8205	612	74	66.88	66.88	NUM
cjfa-8205	612	75	67.17	67.17	NUM
cjfa-8205	612	76	57.27	57.27	NUM
cjfa-8205	612	77	75.45	75.45	NUM
cjfa-8205	612	78	41.48	41.48	NUM
cjfa-8205	612	79	51.08	51.08	NUM
cjfa-8205	612	80	42.52	42.52	NUM
cjfa-8205	612	81	best	well	ADV
cjfa-8205	612	82	0.5	0.5	NUM
cjfa-8205	612	83	year/100	year/100	PROPN
cjfa-8205	612	84	days	day	NOUN
cjfa-8205	612	85	inputs	input	VERB
cjfa-8205	612	86	5	5	NUM
cjfa-8205	612	87	6	6	NUM
cjfa-8205	612	88	7	7	NUM
cjfa-8205	612	89	8	8	NUM
cjfa-8205	612	90	3	3	NUM
cjfa-8205	612	91	4	4	NUM
cjfa-8205	612	92	5	5	NUM
cjfa-8205	612	93	6	6	NUM
cjfa-8205	612	94	7	7	NUM
cjfa-8205	612	95	8	8	NUM
cjfa-8205	612	96	9	9	NUM
cjfa-8205	612	97	2	2	NUM
cjfa-8205	612	98	3	3	NUM
cjfa-8205	612	99	4	4	NUM
cjfa-8205	612	100	3	3	NUM
cjfa-8205	612	101	4	4	NUM
cjfa-8205	612	102	9	9	NUM
cjfa-8205	612	103	1	1	NUM
cjfa-8205	612	104	2	2	NUM
cjfa-8205	612	105	3	3	NUM
cjfa-8205	612	106	2	2	NUM
cjfa-8205	612	107	4	4	NUM
cjfa-8205	612	108	5	5	NUM
cjfa-8205	612	109	6	6	NUM
cjfa-8205	612	110	7	7	NUM
cjfa-8205	612	111	8	8	NUM
cjfa-8205	612	112	2	2	NUM
cjfa-8205	612	113	3	3	NUM
cjfa-8205	612	114	5	5	NUM
cjfa-8205	612	115	6	6	NUM
cjfa-8205	612	116	7	7	NUM
cjfa-8205	612	117	8	8	NUM
cjfa-8205	612	118	3	3	NUM
cjfa-8205	612	119	4	4	NUM
cjfa-8205	612	120	5	5	NUM
cjfa-8205	612	121	6	6	NUM
cjfa-8205	612	122	7	7	NUM
cjfa-8205	612	123	8	8	NUM
cjfa-8205	612	124	s	s	NOUN
cjfa-8205	612	125	o	o	NOUN
cjfa-8205	612	126	u	u	NOUN
cjfa-8205	612	127	r	r	NOUN
cjfa-8205	612	128	c	c	NOUN
cjfa-8205	612	129	e	e	NOUN
cjfa-8205	612	130	:	:	PUNCT
cjfa-8205	612	131	own	own	ADJ
cjfa-8205	612	132	studies	study	NOUN
cjfa-8205	612	133	.	.	PUNCT
cjfa-8205	612	134	 	 	SPACE
cjfa-8205	613	1	conclusions	conclusion	NOUN
cjfa-8205	613	2	and	and	CCONJ
cjfa-8205	613	3	future	future	ADJ
cjfa-8205	613	4	works	work	NOUN
cjfa-8205	613	5	after	after	ADP
cjfa-8205	613	6	obtaining	obtain	VERB
cjfa-8205	613	7	forecasting	forecasting	NOUN
cjfa-8205	613	8	results	result	NOUN
cjfa-8205	613	9	for	for	ADP
cjfa-8205	613	10	various	various	ADJ
cjfa-8205	613	11	types	type	NOUN
cjfa-8205	613	12	of	of	ADP
cjfa-8205	613	13	atm	atm	NOUN
cjfa-8205	613	14	cash	cash	NOUN
cjfa-8205	613	15	flows	flow	VERB
cjfa-8205	613	16	two	two	NUM
cjfa-8205	613	17	important	important	ADJ
cjfa-8205	613	18	conclusions	conclusion	NOUN
cjfa-8205	613	19	can	can	AUX
cjfa-8205	613	20	be	be	AUX
cjfa-8205	613	21	made	make	VERB
cjfa-8205	613	22	:	:	PUNCT
cjfa-8205	613	23	■	■	PUNCT
cjfa-8205	613	24	choosing	choose	VERB
cjfa-8205	613	25	model	model	NOUN
cjfa-8205	613	26	training	training	NOUN
cjfa-8205	613	27	history	history	NOUN
cjfa-8205	613	28	is	be	AUX
cjfa-8205	613	29	very	very	ADV
cjfa-8205	613	30	important	important	ADJ
cjfa-8205	613	31	.	.	PUNCT
cjfa-8205	614	1	using	use	VERB
cjfa-8205	614	2	long	long	ADJ
cjfa-8205	614	3	history	history	NOUN
cjfa-8205	614	4	is	be	AUX
cjfa-8205	614	5	useful	useful	ADJ
cjfa-8205	614	6	if	if	SCONJ
cjfa-8205	614	7	yearly	yearly	ADJ
cjfa-8205	614	8	seasonality	seasonality	NOUN
cjfa-8205	614	9	factors	factor	NOUN
cjfa-8205	614	10	are	be	AUX
cjfa-8205	614	11	relatively	relatively	ADV
cjfa-8205	614	12	important	important	ADJ
cjfa-8205	614	13	in	in	ADP
cjfa-8205	614	14	atm	atm	NOUN
cjfa-8205	614	15	cash	cash	NOUN
cjfa-8205	614	16	flow	flow	NOUN
cjfa-8205	614	17	process	process	NOUN
cjfa-8205	614	18	.	.	PUNCT
cjfa-8205	615	1	if	if	SCONJ
cjfa-8205	615	2	cash	cash	NOUN
cjfa-8205	615	3	flow	flow	NOUN
cjfa-8205	615	4	is	be	AUX
cjfa-8205	615	5	relatively	relatively	ADV
cjfa-8205	615	6	stationary	stationary	ADJ
cjfa-8205	615	7	(	(	PUNCT
cjfa-8205	615	8	as	as	ADP
cjfa-8205	615	9	atm	atm	ADJ
cjfa-8205	615	10	number	number	NOUN
cjfa-8205	615	11	1	1	NUM
cjfa-8205	615	12	and	and	CCONJ
cjfa-8205	615	13	atm	atm	ADJ
cjfa-8205	615	14	number	number	NOUN
cjfa-8205	615	15	3	3	NUM
cjfa-8205	615	16	)	)	PUNCT
cjfa-8205	615	17	and	and	CCONJ
cjfa-8205	615	18	has	have	VERB
cjfa-8205	615	19	strong	strong	ADJ
cjfa-8205	615	20	monthly	monthly	ADJ
cjfa-8205	615	21	or	or	CCONJ
cjfa-8205	615	22	weekly	weekly	ADJ
cjfa-8205	615	23	seasonality	seasonality	NOUN
cjfa-8205	615	24	,	,	PUNCT
cjfa-8205	615	25	using	use	VERB
cjfa-8205	615	26	too	too	ADV
cjfa-8205	615	27	much	much	ADJ
cjfa-8205	615	28	history	history	NOUN
cjfa-8205	615	29	will	will	AUX
cjfa-8205	615	30	not	not	PART
cjfa-8205	615	31	increase	increase	VERB
cjfa-8205	615	32	forecasting	forecasting	NOUN
cjfa-8205	615	33	accuracy	accuracy	NOUN
cjfa-8205	615	34	.	.	PUNCT
cjfa-8205	616	1	but	but	CCONJ
cjfa-8205	616	2	if	if	SCONJ
cjfa-8205	616	3	atm	atm	NOUN
cjfa-8205	616	4	cash	cash	NOUN
cjfa-8205	616	5	flow	flow	NOUN
cjfa-8205	616	6	process	process	NOUN
cjfa-8205	616	7	has	have	VERB
cjfa-8205	616	8	structural	structural	ADJ
cjfa-8205	616	9	breaks	break	NOUN
cjfa-8205	616	10	or	or	CCONJ
cjfa-8205	616	11	various	various	ADJ
cjfa-8205	616	12	trend	trend	NOUN
cjfa-8205	616	13	components	component	NOUN
cjfa-8205	616	14	,	,	PUNCT
cjfa-8205	616	15	training	train	VERB
cjfa-8205	616	16	history	history	NOUN
cjfa-8205	616	17	length	length	NOUN
cjfa-8205	616	18	must	must	AUX
cjfa-8205	616	19	be	be	AUX
cjfa-8205	616	20	selected	select	VERB
cjfa-8205	616	21	carefully	carefully	ADV
cjfa-8205	616	22	in	in	ADP
cjfa-8205	616	23	order	order	NOUN
cjfa-8205	616	24	to	to	PART
cjfa-8205	616	25	avoid	avoid	VERB
cjfa-8205	616	26	overfitting	overfitte	VERB
cjfa-8205	616	27	.	.	PUNCT
cjfa-8205	617	1	■	■	PUNCT
cjfa-8205	617	2	proper	proper	ADJ
cjfa-8205	617	3	input	input	NOUN
cjfa-8205	617	4	selection	selection	NOUN
cjfa-8205	617	5	is	be	AUX
cjfa-8205	617	6	even	even	ADV
cjfa-8205	617	7	more	more	ADV
cjfa-8205	617	8	important	important	ADJ
cjfa-8205	617	9	than	than	ADP
cjfa-8205	617	10	training	train	VERB
cjfa-8205	617	11	history	history	NOUN
cjfa-8205	617	12	period	period	NOUN
cjfa-8205	617	13	selection	selection	NOUN
cjfa-8205	617	14	.	.	PUNCT
cjfa-8205	618	1	time	time	NOUN
cjfa-8205	618	2	-	-	PUNCT
cjfa-8205	618	3	series	series	NOUN
cjfa-8205	618	4	inputs	input	NOUN
cjfa-8205	618	5	such	such	ADJ
cjfa-8205	618	6	as	as	ADP
cjfa-8205	618	7	previous	previous	ADJ
cjfa-8205	618	8	day	day	NOUN
cjfa-8205	618	9	cash	cash	NOUN
cjfa-8205	618	10	flow	flow	NOUN
cjfa-8205	618	11	value	value	NOUN
cjfa-8205	618	12	,	,	PUNCT
cjfa-8205	618	13	moving	move	VERB
cjfa-8205	618	14	average	average	ADJ
cjfa-8205	618	15	and	and	CCONJ
cjfa-8205	618	16	1–4	1–4	NUM
cjfa-8205	618	17	previous	previous	ADJ
cjfa-8205	618	18	week	week	NOUN
cjfa-8205	618	19	cash	cash	NOUN
cjfa-8205	618	20	flow	flow	NOUN
cjfa-8205	618	21	values	value	NOUN
cjfa-8205	618	22	proved	prove	VERB
cjfa-8205	618	23	to	to	PART
cjfa-8205	618	24	be	be	AUX
cjfa-8205	618	25	more	more	ADV
cjfa-8205	618	26	efficient	efficient	ADJ
cjfa-8205	618	27	input	input	NOUN
cjfa-8205	618	28	features	feature	NOUN
cjfa-8205	618	29	than	than	ADP
cjfa-8205	618	30	regression	regression	NOUN
cjfa-8205	618	31	inputs	input	NOUN
cjfa-8205	618	32	and	and	CCONJ
cjfa-8205	618	33	contain	contain	VERB
cjfa-8205	618	34	time	time	NOUN
cjfa-8205	618	35	-	-	PUNCT
cjfa-8205	618	36	varying	vary	VERB
cjfa-8205	618	37	information	information	NOUN
cjfa-8205	618	38	with	with	ADP
cjfa-8205	618	39	recent	recent	ADJ
cjfa-8205	618	40	history	history	NOUN
cjfa-8205	618	41	encoding	encoding	NOUN
cjfa-8205	618	42	.	.	PUNCT
cjfa-8205	619	1	so	so	ADV
cjfa-8205	619	2	calendar	calendar	NOUN
cjfa-8205	619	3	effect	effect	NOUN
cjfa-8205	619	4	forecasting	forecasting	NOUN
cjfa-8205	619	5	inputs	input	NOUN
cjfa-8205	619	6	are	be	AUX
cjfa-8205	619	7	not	not	PART
cjfa-8205	619	8	as	as	ADV
cjfa-8205	619	9	important	important	ADJ
cjfa-8205	619	10	as	as	ADP
cjfa-8205	619	11	time	time	NOUN
cjfa-8205	619	12	-	-	PUNCT
cjfa-8205	619	13	series	series	NOUN
cjfa-8205	619	14	feature	feature	NOUN
cjfa-8205	619	15	inputs	input	NOUN
cjfa-8205	619	16	.	.	PUNCT
cjfa-8205	620	1	purely	purely	ADV
cjfa-8205	620	2	regression	regression	NOUN
cjfa-8205	620	3	inputs	input	NOUN
cjfa-8205	620	4	are	be	AUX
cjfa-8205	620	5	effective	effective	ADJ
cjfa-8205	620	6	only	only	ADV
cjfa-8205	620	7	when	when	SCONJ
cjfa-8205	620	8	stationarity	stationarity	NOUN
cjfa-8205	620	9	of	of	ADP
cjfa-8205	620	10	cash	cash	NOUN
cjfa-8205	620	11	flow	flow	NOUN
cjfa-8205	620	12	could	could	AUX
cjfa-8205	620	13	be	be	AUX
cjfa-8205	620	14	assumed	assume	VERB
cjfa-8205	620	15	.	.	PUNCT
cjfa-8205	621	1	combination	combination	NOUN
cjfa-8205	621	2	of	of	ADP
cjfa-8205	621	3	both	both	PRON
cjfa-8205	621	4	may	may	AUX
cjfa-8205	621	5	increase	increase	VERB
cjfa-8205	621	6	forecasting	forecasting	NOUN
cjfa-8205	621	7	accuracy	accuracy	NOUN
cjfa-8205	621	8	.	.	PUNCT
cjfa-8205	622	1	gediminas	gediminas	PROPN
cjfa-8205	622	2	žylius226	žylius226	PROPN
cjfa-8205	622	3	in	in	ADP
cjfa-8205	622	4	future	future	NOUN
cjfa-8205	622	5	works	work	VERB
cjfa-8205	622	6	an	an	DET
cjfa-8205	622	7	investigation	investigation	NOUN
cjfa-8205	622	8	of	of	ADP
cjfa-8205	622	9	multiple	multiple	ADJ
cjfa-8205	622	10	-	-	PUNCT
cjfa-8205	622	11	day	day	NOUN
cjfa-8205	622	12	-	-	PUNCT
cjfa-8205	622	13	ahead	ahead	NOUN
cjfa-8205	622	14	forecasting	forecasting	NOUN
cjfa-8205	622	15	will	will	AUX
cjfa-8205	622	16	be	be	AUX
cjfa-8205	622	17	performed	perform	VERB
cjfa-8205	622	18	,	,	PUNCT
cjfa-8205	622	19	which	which	PRON
cjfa-8205	622	20	is	be	AUX
cjfa-8205	622	21	more	more	ADV
cjfa-8205	622	22	practical	practical	ADJ
cjfa-8205	622	23	for	for	ADP
cjfa-8205	622	24	cash	cash	NOUN
cjfa-8205	622	25	flow	flow	NOUN
cjfa-8205	622	26	forecasting	forecasting	NOUN
cjfa-8205	622	27	.	.	PUNCT
cjfa-8205	623	1	however	however	ADV
cjfa-8205	623	2	,	,	PUNCT
cjfa-8205	623	3	multiple	multiple	ADJ
cjfa-8205	623	4	-	-	PUNCT
cjfa-8205	623	5	day	day	NOUN
cjfa-8205	623	6	-	-	PUNCT
cjfa-8205	623	7	forecasting	forecasting	NOUN
cjfa-8205	623	8	is	be	AUX
cjfa-8205	623	9	far	far	ADV
cjfa-8205	623	10	more	more	ADV
cjfa-8205	623	11	challenging	challenging	ADJ
cjfa-8205	623	12	research	research	NOUN
cjfa-8205	623	13	object	object	NOUN
cjfa-8205	623	14	with	with	ADP
cjfa-8205	623	15	ci	ci	NOUN
cjfa-8205	623	16	models	model	NOUN
cjfa-8205	623	17	,	,	PUNCT
cjfa-8205	623	18	because	because	SCONJ
cjfa-8205	623	19	of	of	ADP
cjfa-8205	623	20	various	various	ADJ
cjfa-8205	623	21	factors	factor	NOUN
cjfa-8205	623	22	related	relate	VERB
cjfa-8205	623	23	to	to	ADP
cjfa-8205	623	24	error	error	NOUN
cjfa-8205	623	25	accumulation	accumulation	NOUN
cjfa-8205	623	26	,	,	PUNCT
cjfa-8205	623	27	conditional	conditional	ADJ
cjfa-8205	623	28	probability	probability	NOUN
cjfa-8205	623	29	estimation	estimation	NOUN
cjfa-8205	623	30	.	.	PUNCT
cjfa-8205	624	1	also	also	ADV
cjfa-8205	624	2	,	,	PUNCT
cjfa-8205	624	3	automatic	automatic	ADJ
cjfa-8205	624	4	statistical	statistical	ADJ
cjfa-8205	624	5	methods	method	NOUN
cjfa-8205	624	6	that	that	PRON
cjfa-8205	624	7	would	would	AUX
cjfa-8205	624	8	be	be	AUX
cjfa-8205	624	9	useful	useful	ADJ
cjfa-8205	624	10	for	for	ADP
cjfa-8205	624	11	atm	atm	ADJ
cjfa-8205	624	12	type	type	NOUN
cjfa-8205	624	13	identification	identification	NOUN
cjfa-8205	624	14	for	for	ADP
cjfa-8205	624	15	input	input	NOUN
cjfa-8205	624	16	and	and	CCONJ
cjfa-8205	624	17	history	history	NOUN
cjfa-8205	624	18	period	period	NOUN
cjfa-8205	624	19	selection	selection	NOUN
cjfa-8205	624	20	will	will	AUX
cjfa-8205	624	21	be	be	AUX
cjfa-8205	624	22	investigated	investigate	VERB
cjfa-8205	624	23	.	.	PUNCT
cjfa-8205	624	24	 	 	SPACE
cjfa-8205	625	1	references	reference	NOUN
cjfa-8205	625	2	brentnall	brentnall	NOUN
cjfa-8205	625	3	,	,	PUNCT
cjfa-8205	625	4	a.r	a.r	PROPN
cjfa-8205	625	5	.	.	PROPN
cjfa-8205	625	6	,	,	PUNCT
cjfa-8205	625	7	crowder	crowder	PROPN
cjfa-8205	625	8	,	,	PUNCT
cjfa-8205	625	9	m.j	m.j	PROPN
cjfa-8205	625	10	.	.	PROPN
cjfa-8205	625	11	,	,	PUNCT
cjfa-8205	625	12	&	&	CCONJ
cjfa-8205	625	13	hand	hand	PROPN
cjfa-8205	625	14	,	,	PUNCT
cjfa-8205	625	15	d.j	d.j	PROPN
cjfa-8205	625	16	.	.	PROPN
cjfa-8205	625	17	(	(	PUNCT
cjfa-8205	625	18	2008	2008	NUM
cjfa-8205	625	19	)	)	PUNCT
cjfa-8205	625	20	.	.	PUNCT
cjfa-8205	626	1	a	a	DET
cjfa-8205	626	2	statistical	statistical	ADJ
cjfa-8205	626	3	model	model	NOUN
cjfa-8205	626	4	for	for	ADP
cjfa-8205	626	5	the	the	DET
cjfa-8205	626	6	temporal	temporal	ADJ
cjfa-8205	626	7	pattern	pattern	NOUN
cjfa-8205	626	8	of	of	ADP
cjfa-8205	626	9	individual	individual	ADJ
cjfa-8205	626	10	automated	automate	VERB
cjfa-8205	626	11	teller	teller	NOUN
cjfa-8205	626	12	machine	machine	NOUN
cjfa-8205	626	13	withdrawals	withdrawal	NOUN
cjfa-8205	626	14	.	.	PUNCT
cjfa-8205	627	1	journal	journal	NOUN
cjfa-8205	627	2	of	of	ADP
cjfa-8205	627	3	the	the	DET
cjfa-8205	627	4	royal	royal	ADJ
cjfa-8205	627	5	statistical	statistical	ADJ
cjfa-8205	627	6	society	society	NOUN
cjfa-8205	627	7	:	:	PUNCT
cjfa-8205	627	8	series	series	PROPN
cjfa-8205	627	9	c	c	PROPN
cjfa-8205	627	10	(	(	PUNCT
cjfa-8205	627	11	applied	apply	VERB
cjfa-8205	627	12	statistics	statistic	NOUN
cjfa-8205	627	13	)	)	PUNCT
cjfa-8205	627	14	.	.	PUNCT
cjfa-8205	628	1	57(1	57(1	NUM
cjfa-8205	628	2	)	)	PUNCT
cjfa-8205	628	3	.	.	PUNCT
cjfa-8205	629	1	43–59	43–59	NOUN
cjfa-8205	629	2	.	.	PUNCT
cjfa-8205	630	1	http://dx.doi	http://dx.doi	NOUN
cjfa-8205	630	2	.	.	PUNCT
cjfa-8205	631	1	org/10.1111	org/10.1111	ADJ
cjfa-8205	631	2	/	/	SYM
cjfa-8205	631	3	j.1467	j.1467	NOUN
cjfa-8205	631	4	-	-	PUNCT
cjfa-8205	631	5	9876.2007.00599.x	9876.2007.00599.x	NUM
cjfa-8205	631	6	.	.	PUNCT
cjfa-8205	632	1	brentnall	brentnall	PROPN
cjfa-8205	632	2	,	,	PUNCT
cjfa-8205	632	3	a.r	a.r	PROPN
cjfa-8205	632	4	.	.	PROPN
cjfa-8205	632	5	,	,	PUNCT
cjfa-8205	632	6	crowder	crowder	PROPN
cjfa-8205	632	7	,	,	PUNCT
cjfa-8205	632	8	m.j	m.j	PROPN
cjfa-8205	632	9	.	.	PROPN
cjfa-8205	632	10	,	,	PUNCT
cjfa-8205	632	11	&	&	CCONJ
cjfa-8205	632	12	hand	hand	PROPN
cjfa-8205	632	13	,	,	PUNCT
cjfa-8205	632	14	d.j	d.j	PROPN
cjfa-8205	632	15	.	.	PROPN
cjfa-8205	632	16	(	(	PUNCT
cjfa-8205	632	17	2010a	2010a	NUM
cjfa-8205	632	18	)	)	PUNCT
cjfa-8205	632	19	.	.	PUNCT
cjfa-8205	633	1	predicting	predict	VERB
cjfa-8205	633	2	the	the	DET
cjfa-8205	633	3	amount	amount	NOUN
cjfa-8205	633	4	individuals	individual	NOUN
cjfa-8205	633	5	withdraw	withdraw	VERB
cjfa-8205	633	6	at	at	ADP
cjfa-8205	633	7	cash	cash	NOUN
cjfa-8205	633	8	machines	machine	NOUN
cjfa-8205	633	9	using	use	VERB
cjfa-8205	633	10	a	a	DET
cjfa-8205	633	11	random	random	ADJ
cjfa-8205	633	12	effects	effect	NOUN
cjfa-8205	633	13	multinomial	multinomial	ADJ
cjfa-8205	633	14	model	model	NOUN
cjfa-8205	633	15	.	.	PUNCT
cjfa-8205	634	1	statistical	statistical	ADJ
cjfa-8205	634	2	modeling	modeling	NOUN
cjfa-8205	634	3	.	.	PUNCT
cjfa-8205	635	1	10(2	10(2	NUM
cjfa-8205	635	2	)	)	PUNCT
cjfa-8205	635	3	.	.	PUNCT
cjfa-8205	636	1	197–214	197–214	NUM
cjfa-8205	636	2	.	.	PUNCT
cjfa-8205	637	1	http://dx.doi.org/10.1177/1471082x0801000205	http://dx.doi.org/10.1177/1471082x0801000205	PROPN
cjfa-8205	637	2	.	.	PUNCT
cjfa-8205	637	3	brentnall	brentnall	PROPN
cjfa-8205	637	4	,	,	PUNCT
cjfa-8205	637	5	a.r	a.r	PROPN
cjfa-8205	637	6	.	.	PROPN
cjfa-8205	637	7	,	,	PUNCT
cjfa-8205	637	8	crowder	crowder	PROPN
cjfa-8205	637	9	,	,	PUNCT
cjfa-8205	637	10	m.j	m.j	PROPN
cjfa-8205	637	11	.	.	PROPN
cjfa-8205	637	12	,	,	PUNCT
cjfa-8205	637	13	&	&	CCONJ
cjfa-8205	637	14	hand	hand	PROPN
cjfa-8205	637	15	,	,	PUNCT
cjfa-8205	637	16	d.j	d.j	PROPN
cjfa-8205	637	17	.	.	PROPN
cjfa-8205	637	18	(	(	PUNCT
cjfa-8205	637	19	2010b	2010b	NUM
cjfa-8205	637	20	)	)	PUNCT
cjfa-8205	637	21	.	.	PUNCT
cjfa-8205	638	1	predictive	predictive	ADJ
cjfa-8205	638	2	-	-	PUNCT
cjfa-8205	638	3	sequential	sequential	ADJ
cjfa-8205	638	4	forecasting	forecasting	NOUN
cjfa-8205	638	5	system	system	NOUN
cjfa-8205	638	6	developement	developement	NOUN
cjfa-8205	638	7	for	for	ADP
cjfa-8205	638	8	cash	cash	NOUN
cjfa-8205	638	9	machine	machine	NOUN
cjfa-8205	638	10	stocking	stocking	NOUN
cjfa-8205	638	11	.	.	PUNCT
cjfa-8205	639	1	international	international	ADJ
cjfa-8205	639	2	journal	journal	NOUN
cjfa-8205	639	3	of	of	ADP
cjfa-8205	639	4	forecasting	forecasting	NOUN
cjfa-8205	639	5	.	.	PUNCT
cjfa-8205	640	1	26	26	NUM
cjfa-8205	640	2	.	.	X
cjfa-8205	641	1	764–776	764–776	NUM
cjfa-8205	641	2	.	.	PUNCT
cjfa-8205	642	1	chih	chih	PROPN
cjfa-8205	642	2	-	-	PUNCT
cjfa-8205	642	3	chung	chung	PROPN
cjfa-8205	642	4	,	,	PUNCT
cjfa-8205	642	5	c.	c.	PROPN
cjfa-8205	642	6	,	,	PUNCT
cjfa-8205	642	7	&	&	CCONJ
cjfa-8205	642	8	chih	chih	PROPN
cjfa-8205	642	9	-	-	PUNCT
cjfa-8205	642	10	jen	jen	PROPN
cjfa-8205	642	11	,	,	PUNCT
cjfa-8205	642	12	l.	l.	PROPN
cjfa-8205	642	13	(	(	PUNCT
cjfa-8205	642	14	2011	2011	NUM
cjfa-8205	642	15	)	)	PUNCT
cjfa-8205	642	16	.	.	PUNCT
cjfa-8205	643	1	libsvm	libsvm	VERB
cjfa-8205	643	2	:	:	PUNCT
cjfa-8205	643	3	a	a	DET
cjfa-8205	643	4	library	library	NOUN
cjfa-8205	643	5	for	for	ADP
cjfa-8205	643	6	support	support	NOUN
cjfa-8205	643	7	vector	vector	NOUN
cjfa-8205	643	8	machines	machine	NOUN
cjfa-8205	643	9	.	.	PUNCT
cjfa-8205	644	1	acm	acm	PROPN
cjfa-8205	644	2	transactions	transaction	NOUN
cjfa-8205	644	3	on	on	ADP
cjfa-8205	644	4	intelligent	intelligent	ADJ
cjfa-8205	644	5	systems	system	NOUN
cjfa-8205	644	6	and	and	CCONJ
cjfa-8205	644	7	technology	technology	NOUN
cjfa-8205	644	8	.	.	PUNCT
cjfa-8205	645	1	2(27	2(27	NUM
cjfa-8205	645	2	)	)	PUNCT
cjfa-8205	645	3	.	.	PUNCT
cjfa-8205	646	1	1–27	1–27	NUM
cjfa-8205	646	2	.	.	PUNCT
cjfa-8205	647	1	http://www	http://www	PROPN
cjfa-8205	647	2	.	.	PUNCT
cjfa-8205	648	1	csie.ntu.edu.tw/~cjlin/libsvm	csie.ntu.edu.tw/~cjlin/libsvm	PROPN
cjfa-8205	648	2	(	(	PUNCT
cjfa-8205	648	3	accessed	access	VERB
cjfa-8205	648	4	:	:	PUNCT
cjfa-8205	648	5	29.03.2015	29.03.2015	NUM
cjfa-8205	648	6	)	)	PUNCT
cjfa-8205	648	7	.	.	PUNCT
cjfa-8205	649	1	cortes	corte	NOUN
cjfa-8205	649	2	,	,	PUNCT
cjfa-8205	649	3	c.	c.	PROPN
cjfa-8205	649	4	,	,	PUNCT
cjfa-8205	649	5	&	&	CCONJ
cjfa-8205	649	6	vapnik	vapnik	X
cjfa-8205	649	7	,	,	PUNCT
cjfa-8205	649	8	v.	v.	PROPN
cjfa-8205	649	9	(	(	PUNCT
cjfa-8205	649	10	1995	1995	NUM
cjfa-8205	649	11	)	)	PUNCT
cjfa-8205	649	12	.	.	PUNCT
cjfa-8205	650	1	support	support	NOUN
cjfa-8205	650	2	-	-	PUNCT
cjfa-8205	650	3	vector	vector	NOUN
cjfa-8205	650	4	networks	network	NOUN
cjfa-8205	650	5	.	.	PUNCT
cjfa-8205	651	1	machine	machine	NOUN
cjfa-8205	651	2	learning	learning	NOUN
cjfa-8205	651	3	.	.	PUNCT
cjfa-8205	652	1	20(3	20(3	NOUN
cjfa-8205	652	2	)	)	PUNCT
cjfa-8205	652	3	.	.	PUNCT
cjfa-8205	653	1	273	273	NUM
cjfa-8205	653	2	–	–	PUNCT
cjfa-8205	653	3	–	–	PUNCT
cjfa-8205	653	4	297	297	NUM
cjfa-8205	653	5	.	.	PUNCT
cjfa-8205	653	6	http://dx.doi.org/10.1007/bf00994018	http://dx.doi.org/10.1007/bf00994018	NOUN
cjfa-8205	653	7	.	.	PUNCT
cjfa-8205	654	1	darwish	darwish	PROPN
cjfa-8205	654	2	,	,	PUNCT
cjfa-8205	654	3	s.m	s.m	PROPN
cjfa-8205	654	4	.	.	PROPN
cjfa-8205	654	5	(	(	PUNCT
cjfa-8205	654	6	2013	2013	NUM
cjfa-8205	654	7	)	)	PUNCT
cjfa-8205	654	8	.	.	PUNCT
cjfa-8205	655	1	a	a	DET
cjfa-8205	655	2	methodology	methodology	NOUN
cjfa-8205	655	3	to	to	PART
cjfa-8205	655	4	improve	improve	VERB
cjfa-8205	655	5	cash	cash	NOUN
cjfa-8205	655	6	demand	demand	NOUN
cjfa-8205	655	7	forecasting	forecasting	NOUN
cjfa-8205	655	8	for	for	ADP
cjfa-8205	655	9	atm	atm	NOUN
cjfa-8205	655	10	network	network	NOUN
cjfa-8205	655	11	.	.	PUNCT
cjfa-8205	656	1	international	international	ADJ
cjfa-8205	656	2	journal	journal	PROPN
cjfa-8205	656	3	of	of	ADP
cjfa-8205	656	4	computer	computer	NOUN
cjfa-8205	656	5	and	and	CCONJ
cjfa-8205	656	6	electrical	electrical	ADJ
cjfa-8205	656	7	engineering	engineering	NOUN
cjfa-8205	656	8	.	.	PUNCT
cjfa-8205	657	1	5(4	5(4	NUM
cjfa-8205	657	2	)	)	PUNCT
cjfa-8205	657	3	.	.	PUNCT
cjfa-8205	658	1	405–409	405–409	NUM
cjfa-8205	658	2	.	.	PUNCT
cjfa-8205	659	1	http://dx.doi.org/10.7763/ijcee.2013.v5.741	http://dx.doi.org/10.7763/ijcee.2013.v5.741	PROPN
cjfa-8205	659	2	.	.	PUNCT
cjfa-8205	660	1	ekinci	ekinci	PROPN
cjfa-8205	660	2	,	,	PUNCT
cjfa-8205	660	3	y.	y.	PROPN
cjfa-8205	660	4	,	,	PUNCT
cjfa-8205	660	5	lu	lu	PROPN
cjfa-8205	660	6	,	,	PUNCT
cjfa-8205	660	7	j.c	j.c	PROPN
cjfa-8205	660	8	.	.	PROPN
cjfa-8205	660	9	,	,	PUNCT
cjfa-8205	660	10	&	&	CCONJ
cjfa-8205	660	11	duman	duman	PROPN
cjfa-8205	660	12	,	,	PUNCT
cjfa-8205	660	13	e.	e.	PROPN
cjfa-8205	660	14	(	(	PUNCT
cjfa-8205	660	15	2015	2015	NUM
cjfa-8205	660	16	)	)	PUNCT
cjfa-8205	660	17	.	.	PUNCT
cjfa-8205	661	1	optimization	optimization	NOUN
cjfa-8205	661	2	of	of	ADP
cjfa-8205	661	3	atm	atm	ADJ
cjfa-8205	661	4	cash	cash	NOUN
cjfa-8205	661	5	replenishment	replenishment	NOUN
cjfa-8205	661	6	with	with	ADP
cjfa-8205	661	7	group	group	NOUN
cjfa-8205	661	8	-	-	PUNCT
cjfa-8205	661	9	demand	demand	NOUN
cjfa-8205	661	10	forecasts	forecast	NOUN
cjfa-8205	661	11	.	.	PUNCT
cjfa-8205	662	1	expert	expert	NOUN
cjfa-8205	662	2	systems	system	NOUN
cjfa-8205	662	3	with	with	ADP
cjfa-8205	662	4	applications	application	NOUN
cjfa-8205	662	5	.	.	PUNCT
cjfa-8205	663	1	42(7	42(7	NOUN
cjfa-8205	663	2	)	)	PUNCT
cjfa-8205	663	3	.	.	PUNCT
cjfa-8205	664	1	3480–3490	3480–3490	NUM
cjfa-8205	664	2	.	.	PUNCT
cjfa-8205	665	1	http://dx.doi.org/10.1016/j.eswa.2014.12.011	http://dx.doi.org/10.1016/j.eswa.2014.12.011	PROPN
cjfa-8205	665	2	.	.	PUNCT
cjfa-8205	666	1	gurgul	gurgul	PROPN
cjfa-8205	666	2	,	,	PUNCT
cjfa-8205	666	3	h.	h.	PROPN
cjfa-8205	666	4	,	,	PUNCT
cjfa-8205	666	5	&	&	CCONJ
cjfa-8205	666	6	suder	suder	PROPN
cjfa-8205	666	7	,	,	PUNCT
cjfa-8205	666	8	m.	m.	NOUN
cjfa-8205	666	9	(	(	PUNCT
cjfa-8205	666	10	2013	2013	NUM
cjfa-8205	666	11	)	)	PUNCT
cjfa-8205	666	12	.	.	PUNCT
cjfa-8205	667	1	modeling	modeling	NOUN
cjfa-8205	667	2	of	of	ADP
cjfa-8205	667	3	withdrawals	withdrawal	NOUN
cjfa-8205	667	4	from	from	ADP
cjfa-8205	667	5	selected	select	VERB
cjfa-8205	667	6	atms	atms	NOUN
cjfa-8205	667	7	of	of	ADP
cjfa-8205	667	8	the	the	DET
cjfa-8205	667	9	euronet	euronet	NOUN
cjfa-8205	667	10	network	network	NOUN
cjfa-8205	667	11	.	.	PUNCT
cjfa-8205	668	1	agh	agh	PROPN
cjfa-8205	668	2	managerial	managerial	ADJ
cjfa-8205	668	3	economics	economic	NOUN
cjfa-8205	668	4	.	.	PUNCT
cjfa-8205	669	1	13	13	NUM
cjfa-8205	669	2	.	.	PUNCT
cjfa-8205	670	1	65–82	65–82	NUM
cjfa-8205	670	2	.	.	PUNCT
cjfa-8205	671	1	http://dx.doi.org/10.7494/	http://dx.doi.org/10.7494/	PROPN
cjfa-8205	671	2	manage.2013.13.65	manage.2013.13.65	PROPN
cjfa-8205	671	3	.	.	PUNCT
cjfa-8205	671	4	hagan	hagan	PROPN
cjfa-8205	671	5	,	,	PUNCT
cjfa-8205	671	6	m.t	m.t	PROPN
cjfa-8205	671	7	.	.	PROPN
cjfa-8205	671	8	,	,	PUNCT
cjfa-8205	671	9	&	&	CCONJ
cjfa-8205	671	10	menhaj	menhaj	PROPN
cjfa-8205	671	11	,	,	PUNCT
cjfa-8205	671	12	m.	m.	NOUN
cjfa-8205	671	13	(	(	PUNCT
cjfa-8205	671	14	1994	1994	NUM
cjfa-8205	671	15	)	)	PUNCT
cjfa-8205	671	16	.	.	PUNCT
cjfa-8205	672	1	training	train	VERB
cjfa-8205	672	2	feed	feed	NOUN
cjfa-8205	672	3	-	-	PUNCT
cjfa-8205	672	4	forward	forward	NOUN
cjfa-8205	672	5	networks	network	NOUN
cjfa-8205	672	6	with	with	ADP
cjfa-8205	672	7	the	the	DET
cjfa-8205	672	8	marquardt	marquardt	PROPN
cjfa-8205	672	9	algorithm	algorithm	PROPN
cjfa-8205	672	10	.	.	PUNCT
cjfa-8205	673	1	ieee	ieee	NOUN
cjfa-8205	673	2	transactions	transaction	NOUN
cjfa-8205	673	3	on	on	ADP
cjfa-8205	673	4	neural	neural	ADJ
cjfa-8205	673	5	networks	network	NOUN
cjfa-8205	673	6	.	.	PUNCT
cjfa-8205	674	1	5(6	5(6	NUM
cjfa-8205	674	2	)	)	PUNCT
cjfa-8205	674	3	.	.	PUNCT
cjfa-8205	675	1	989–993	989–993	NUM
cjfa-8205	675	2	.	.	PUNCT
cjfa-8205	676	1	huang	huang	PROPN
cjfa-8205	676	2	,	,	PUNCT
cjfa-8205	676	3	g.b	g.b	PROPN
cjfa-8205	676	4	.	.	PROPN
cjfa-8205	676	5	,	,	PUNCT
cjfa-8205	676	6	zhu	zhu	PROPN
cjfa-8205	676	7	,	,	PUNCT
cjfa-8205	676	8	q.y	q.y	PROPN
cjfa-8205	676	9	.	.	PROPN
cjfa-8205	676	10	,	,	PUNCT
cjfa-8205	676	11	&	&	CCONJ
cjfa-8205	676	12	siew	siew	PROPN
cjfa-8205	676	13	,	,	PUNCT
cjfa-8205	676	14	c.k	c.k	PROPN
cjfa-8205	676	15	.	.	PUNCT
cjfa-8205	676	16	(	(	PUNCT
cjfa-8205	676	17	2006	2006	NUM
cjfa-8205	676	18	)	)	PUNCT
cjfa-8205	676	19	.	.	PUNCT
cjfa-8205	677	1	extreme	extreme	ADJ
cjfa-8205	677	2	learning	learning	NOUN
cjfa-8205	677	3	machine	machine	NOUN
cjfa-8205	677	4	:	:	PUNCT
cjfa-8205	677	5	theory	theory	NOUN
cjfa-8205	677	6	and	and	CCONJ
cjfa-8205	677	7	applications	application	NOUN
cjfa-8205	677	8	.	.	PUNCT
cjfa-8205	678	1	neurocomputing	neurocompute	VERB
cjfa-8205	678	2	.	.	PUNCT
cjfa-8205	679	1	70	70	NUM
cjfa-8205	679	2	.	.	X
cjfa-8205	680	1	489–501	489–501	NUM
cjfa-8205	680	2	.	.	PUNCT
cjfa-8205	681	1	http://www.ntu.edu.sg/home/egbhuang/	http://www.ntu.edu.sg/home/egbhuang/	ADJ
cjfa-8205	681	2	elm_codes.html	elm_codes.html	PROPN
cjfa-8205	681	3	(	(	PUNCT
cjfa-8205	681	4	accessed	access	VERB
cjfa-8205	681	5	:	:	PUNCT
cjfa-8205	681	6	29.03.2015	29.03.2015	NUM
cjfa-8205	681	7	)	)	PUNCT
cjfa-8205	681	8	.	.	PUNCT
cjfa-8205	682	1	jang	jang	PROPN
cjfa-8205	682	2	,	,	PUNCT
cjfa-8205	682	3	j.s.r	j.s.r	NOUN
cjfa-8205	682	4	.	.	PUNCT
cjfa-8205	682	5	(	(	PUNCT
cjfa-8205	682	6	1993	1993	NUM
cjfa-8205	682	7	)	)	PUNCT
cjfa-8205	682	8	.	.	PUNCT
cjfa-8205	683	1	anfis	anfis	PROPN
cjfa-8205	683	2	:	:	PUNCT
cjfa-8205	683	3	adaptive	adaptive	ADJ
cjfa-8205	683	4	-	-	PUNCT
cjfa-8205	683	5	network	network	NOUN
cjfa-8205	683	6	-	-	PUNCT
cjfa-8205	683	7	based	base	VERB
cjfa-8205	683	8	fuzzy	fuzzy	ADJ
cjfa-8205	683	9	inference	inference	NOUN
cjfa-8205	683	10	systems	system	NOUN
cjfa-8205	683	11	.	.	PUNCT
cjfa-8205	684	1	ieee	ieee	NOUN
cjfa-8205	684	2	transactions	transaction	NOUN
cjfa-8205	684	3	on	on	ADP
cjfa-8205	684	4	systems	system	NOUN
cjfa-8205	684	5	,	,	PUNCT
cjfa-8205	684	6	man	man	NOUN
cjfa-8205	684	7	,	,	PUNCT
cjfa-8205	684	8	and	and	CCONJ
cjfa-8205	684	9	cybernetics	cybernetic	NOUN
cjfa-8205	684	10	.	.	PUNCT
cjfa-8205	685	1	23(3	23(3	NUM
cjfa-8205	685	2	)	)	PUNCT
cjfa-8205	685	3	.	.	PUNCT
cjfa-8205	686	1	665–685	665–685	NUM
cjfa-8205	686	2	.	.	PUNCT
cjfa-8205	687	1	http://dx.doi	http://dx.doi	NOUN
cjfa-8205	687	2	.	.	PUNCT
cjfa-8205	688	1	org/10.1109/21.256541	org/10.1109/21.256541	NUM
cjfa-8205	688	2	.	.	PUNCT
cjfa-8205	689	1	evaluation	evaluation	NOUN
cjfa-8205	689	2	of	of	ADP
cjfa-8205	689	3	atm	atm	ADJ
cjfa-8205	689	4	cash	cash	NOUN
cjfa-8205	689	5	demand	demand	NOUN
cjfa-8205	689	6	process	process	NOUN
cjfa-8205	689	7	factors	factor	NOUN
cjfa-8205	689	8	…	…	PUNCT
cjfa-8205	689	9	227	227	NUM
cjfa-8205	689	10	kumar	kumar	PROPN
cjfa-8205	689	11	,	,	PUNCT
cjfa-8205	689	12	p.	p.	PROPN
cjfa-8205	689	13	,	,	PUNCT
cjfa-8205	689	14	&	&	CCONJ
cjfa-8205	689	15	walia	walia	PROPN
cjfa-8205	689	16	,	,	PUNCT
cjfa-8205	689	17	e.	e.	PROPN
cjfa-8205	689	18	(	(	PUNCT
cjfa-8205	689	19	2006	2006	NUM
cjfa-8205	689	20	)	)	PUNCT
cjfa-8205	689	21	.	.	PUNCT
cjfa-8205	690	1	cash	cash	NOUN
cjfa-8205	690	2	forecasting	forecasting	NOUN
cjfa-8205	690	3	:	:	PUNCT
cjfa-8205	690	4	an	an	DET
cjfa-8205	690	5	application	application	NOUN
cjfa-8205	690	6	of	of	ADP
cjfa-8205	690	7	artificial	artificial	ADJ
cjfa-8205	690	8	neural	neural	ADJ
cjfa-8205	690	9	networks	network	NOUN
cjfa-8205	690	10	in	in	ADP
cjfa-8205	690	11	finance	finance	NOUN
cjfa-8205	690	12	.	.	PUNCT
cjfa-8205	691	1	international	international	ADJ
cjfa-8205	691	2	journal	journal	PROPN
cjfa-8205	691	3	of	of	ADP
cjfa-8205	691	4	computer	computer	NOUN
cjfa-8205	691	5	science	science	PROPN
cjfa-8205	691	6	&	&	CCONJ
cjfa-8205	691	7	applications	application	NOUN
cjfa-8205	691	8	.	.	PUNCT
cjfa-8205	692	1	3(1	3(1	NUM
cjfa-8205	692	2	)	)	PUNCT
cjfa-8205	692	3	.	.	PUNCT
cjfa-8205	693	1	61–77	61–77	X
cjfa-8205	693	2	.	.	PUNCT
cjfa-8205	694	1	laukaitis	laukaitis	NOUN
cjfa-8205	694	2	,	,	PUNCT
cjfa-8205	694	3	a.	a.	NOUN
cjfa-8205	694	4	(	(	PUNCT
cjfa-8205	694	5	2008	2008	NUM
cjfa-8205	694	6	)	)	PUNCT
cjfa-8205	694	7	.	.	PUNCT
cjfa-8205	695	1	functional	functional	ADJ
cjfa-8205	695	2	data	datum	NOUN
cjfa-8205	695	3	analysis	analysis	NOUN
cjfa-8205	695	4	for	for	ADP
cjfa-8205	695	5	cash	cash	NOUN
cjfa-8205	695	6	flow	flow	NOUN
cjfa-8205	695	7	and	and	CCONJ
cjfa-8205	695	8	transactions	transaction	NOUN
cjfa-8205	695	9	intensity	intensity	NOUN
cjfa-8205	695	10	continuous	continuous	ADJ
cjfa-8205	695	11	-	-	PUNCT
cjfa-8205	695	12	time	time	NOUN
cjfa-8205	695	13	prediction	prediction	NOUN
cjfa-8205	695	14	using	use	VERB
cjfa-8205	695	15	hilbert	hilbert	NOUN
cjfa-8205	695	16	-	-	PUNCT
cjfa-8205	695	17	valued	value	VERB
cjfa-8205	695	18	autoregressive	autoregressive	ADJ
cjfa-8205	695	19	processes	process	NOUN
cjfa-8205	695	20	.	.	PUNCT
cjfa-8205	696	1	european	european	ADJ
cjfa-8205	696	2	journal	journal	PROPN
cjfa-8205	696	3	of	of	ADP
cjfa-8205	696	4	operational	operational	ADJ
cjfa-8205	696	5	research	research	NOUN
cjfa-8205	696	6	.	.	PUNCT
cjfa-8205	697	1	185(3	185(3	NUM
cjfa-8205	697	2	)	)	PUNCT
cjfa-8205	697	3	.	.	PUNCT
cjfa-8205	698	1	1607–1614	1607–1614	NUM
cjfa-8205	698	2	.	.	PUNCT
cjfa-8205	699	1	http://dx.doi.org/10.1016/j	http://dx.doi.org/10.1016/j	PROPN
cjfa-8205	699	2	.	.	PROPN
cjfa-8205	699	3	ejor.2006.08.030	ejor.2006.08.030	PROPN
cjfa-8205	699	4	.	.	PUNCT
cjfa-8205	700	1	pelckmans	pelckmans	PROPN
cjfa-8205	700	2	,	,	PUNCT
cjfa-8205	700	3	k.	k.	PROPN
cjfa-8205	700	4	,	,	PUNCT
cjfa-8205	700	5	suykens	suykens	PROPN
cjfa-8205	700	6	,	,	PUNCT
cjfa-8205	700	7	j.a.k	j.a.k	PROPN
cjfa-8205	700	8	.	.	PROPN
cjfa-8205	700	9	,	,	PUNCT
cjfa-8205	700	10	van	van	PROPN
cjfa-8205	700	11	gestel	gestel	PROPN
cjfa-8205	700	12	,	,	PUNCT
cjfa-8205	700	13	t.	t.	PROPN
cjfa-8205	700	14	,	,	PUNCT
cjfa-8205	700	15	de	de	X
cjfa-8205	700	16	brabanter	brabanter	NOUN
cjfa-8205	700	17	,	,	PUNCT
cjfa-8205	700	18	j.	j.	PROPN
cjfa-8205	700	19	,	,	PUNCT
cjfa-8205	700	20	lukas	lukas	PROPN
cjfa-8205	700	21	,	,	PUNCT
cjfa-8205	700	22	l.	l.	PROPN
cjfa-8205	700	23	,	,	PUNCT
cjfa-8205	700	24	hamers	hamer	NOUN
cjfa-8205	700	25	,	,	PUNCT
cjfa-8205	700	26	b.	b.	PROPN
cjfa-8205	700	27	,	,	PUNCT
cjfa-8205	700	28	de	de	PROPN
cjfa-8205	700	29	moor	moor	PROPN
cjfa-8205	700	30	,	,	PUNCT
cjfa-8205	700	31	b.	b.	PROPN
cjfa-8205	700	32	,	,	PUNCT
cjfa-8205	700	33	&	&	CCONJ
cjfa-8205	700	34	vandewalle	vandewalle	PROPN
cjfa-8205	700	35	,	,	PUNCT
cjfa-8205	700	36	j.	j.	PROPN
cjfa-8205	700	37	(	(	PUNCT
cjfa-8205	700	38	2002	2002	NUM
cjfa-8205	700	39	)	)	PUNCT
cjfa-8205	700	40	.	.	PUNCT
cjfa-8205	701	1	ls	ls	ADJ
cjfa-8205	701	2	-	-	PUNCT
cjfa-8205	701	3	svmlab	svmlab	NOUN
cjfa-8205	701	4	:	:	PUNCT
cjfa-8205	701	5	a	a	DET
cjfa-8205	701	6	matlab	matlab	PROPN
cjfa-8205	701	7	/	/	SYM
cjfa-8205	701	8	c	c	PROPN
cjfa-8205	701	9	toolbox	toolbox	NOUN
cjfa-8205	701	10	for	for	ADP
cjfa-8205	701	11	least	least	ADJ
cjfa-8205	701	12	squares	square	NOUN
cjfa-8205	701	13	support	support	NOUN
cjfa-8205	701	14	vector	vector	NOUN
cjfa-8205	701	15	machines	machine	NOUN
cjfa-8205	701	16	.	.	PUNCT
cjfa-8205	702	1	internal	internal	ADJ
cjfa-8205	702	2	report	report	NOUN
cjfa-8205	702	3	02	02	NUM
cjfa-8205	702	4	-	-	SYM
cjfa-8205	702	5	44	44	NUM
cjfa-8205	702	6	,	,	PUNCT
cjfa-8205	702	7	esat	esat	PROPN
cjfa-8205	702	8	-	-	PUNCT
cjfa-8205	702	9	sista	sista	PROPN
cjfa-8205	702	10	,	,	PUNCT
cjfa-8205	702	11	ku	ku	PROPN
cjfa-8205	702	12	leuven	leuven	PROPN
cjfa-8205	702	13	,	,	PUNCT
cjfa-8205	702	14	leuven	leuven	PROPN
cjfa-8205	702	15	,	,	PUNCT
cjfa-8205	702	16	belgium	belgium	PROPN
cjfa-8205	702	17	,	,	PUNCT
cjfa-8205	702	18	viewed	view	VERB
cjfa-8205	702	19	14	14	NUM
cjfa-8205	702	20	may	may	PROPN
cjfa-8205	702	21	2015	2015	NUM
cjfa-8205	702	22	.	.	PUNCT
cjfa-8205	703	1	http://www.esat.kuleuven.be/sista/lssvmlab/old/	http://www.esat.kuleuven.be/sista/lssvmlab/old/	PROPN
cjfa-8205	703	2	lssvmlab_paper0.pdf	lssvmlab_paper0.pdf	PROPN
cjfa-8205	703	3	(	(	PUNCT
cjfa-8205	703	4	accessed	access	VERB
cjfa-8205	703	5	:	:	PUNCT
cjfa-8205	703	6	29.03.2015	29.03.2015	NUM
cjfa-8205	703	7	)	)	PUNCT
cjfa-8205	703	8	.	.	PUNCT
cjfa-8205	704	1	rodrigues	rodrigues	PROPN
cjfa-8205	704	2	,	,	PUNCT
cjfa-8205	704	3	p.	p.	PROPN
cjfa-8205	704	4	,	,	PUNCT
cjfa-8205	704	5	&	&	CCONJ
cjfa-8205	704	6	esteves	esteves	PROPN
cjfa-8205	704	7	,	,	PUNCT
cjfa-8205	704	8	p.	p.	NOUN
cjfa-8205	704	9	(	(	PUNCT
cjfa-8205	704	10	2010	2010	NUM
cjfa-8205	704	11	)	)	PUNCT
cjfa-8205	704	12	.	.	PUNCT
cjfa-8205	705	1	calendar	calendar	NOUN
cjfa-8205	705	2	effects	effect	NOUN
cjfa-8205	705	3	in	in	ADP
cjfa-8205	705	4	daily	daily	ADJ
cjfa-8205	705	5	atm	atm	NOUN
cjfa-8205	705	6	withdrawals	withdrawal	NOUN
cjfa-8205	705	7	.	.	PUNCT
cjfa-8205	706	1	economics	economic	NOUN
cjfa-8205	706	2	bulletin	bulletin	NOUN
cjfa-8205	706	3	.	.	PUNCT
cjfa-8205	707	1	30(4	30(4	NUM
cjfa-8205	707	2	)	)	PUNCT
cjfa-8205	707	3	.	.	PUNCT
cjfa-8205	708	1	2587–2597	2587–2597	NUM
cjfa-8205	708	2	.	.	PUNCT
cjfa-8205	709	1	rumelhart	rumelhart	PROPN
cjfa-8205	709	2	,	,	PUNCT
cjfa-8205	709	3	d.e	d.e	PROPN
cjfa-8205	709	4	.	.	PROPN
cjfa-8205	709	5	,	,	PUNCT
cjfa-8205	709	6	hinton	hinton	PROPN
cjfa-8205	709	7	,	,	PUNCT
cjfa-8205	709	8	g.e	g.e	PROPN
cjfa-8205	709	9	.	.	PROPN
cjfa-8205	709	10	,	,	PUNCT
cjfa-8205	709	11	&	&	CCONJ
cjfa-8205	709	12	williams	williams	PROPN
cjfa-8205	709	13	,	,	PUNCT
cjfa-8205	709	14	r.j	r.j	PROPN
cjfa-8205	709	15	.	.	PROPN
cjfa-8205	709	16	(	(	PUNCT
cjfa-8205	709	17	1986	1986	NUM
cjfa-8205	709	18	)	)	PUNCT
cjfa-8205	709	19	.	.	PUNCT
cjfa-8205	710	1	learning	learn	VERB
cjfa-8205	710	2	representations	representation	NOUN
cjfa-8205	710	3	by	by	ADP
cjfa-8205	710	4	backpropagation	backpropagation	NOUN
cjfa-8205	710	5	errors	error	NOUN
cjfa-8205	710	6	.	.	PUNCT
cjfa-8205	711	1	nature	nature	NOUN
cjfa-8205	711	2	.	.	PUNCT
cjfa-8205	712	1	323	323	NUM
cjfa-8205	712	2	.	.	X
cjfa-8205	713	1	533–536	533–536	NUM
cjfa-8205	713	2	.	.	PUNCT
cjfa-8205	714	1	simutis	simutis	PROPN
cjfa-8205	714	2	,	,	PUNCT
cjfa-8205	714	3	r.	r.	PROPN
cjfa-8205	714	4	,	,	PUNCT
cjfa-8205	714	5	dilijonas	dilijonas	PROPN
cjfa-8205	714	6	,	,	PUNCT
cjfa-8205	714	7	d.	d.	PROPN
cjfa-8205	714	8	,	,	PUNCT
cjfa-8205	714	9	&	&	CCONJ
cjfa-8205	714	10	bastina	bastina	PROPN
cjfa-8205	714	11	,	,	PUNCT
cjfa-8205	714	12	l.	l.	PROPN
cjfa-8205	714	13	(	(	PUNCT
cjfa-8205	714	14	2008	2008	NUM
cjfa-8205	714	15	)	)	PUNCT
cjfa-8205	714	16	.	.	PUNCT
cjfa-8205	715	1	cash	cash	NOUN
cjfa-8205	715	2	demand	demand	NOUN
cjfa-8205	715	3	forecasting	forecasting	NOUN
cjfa-8205	715	4	for	for	ADP
cjfa-8205	715	5	atm	atm	NOUN
cjfa-8205	715	6	using	use	VERB
cjfa-8205	715	7	neural	neural	ADJ
cjfa-8205	715	8	networks	network	NOUN
cjfa-8205	715	9	and	and	CCONJ
cjfa-8205	715	10	support	support	VERB
cjfa-8205	715	11	vector	vector	NOUN
cjfa-8205	715	12	regression	regression	NOUN
cjfa-8205	715	13	algorithms	algorithm	NOUN
cjfa-8205	715	14	.	.	PUNCT
cjfa-8205	716	1	proceedings	proceeding	NOUN
cjfa-8205	716	2	of	of	ADP
cjfa-8205	716	3	the	the	DET
cjfa-8205	716	4	twentieth	twentieth	PROPN
cjfa-8205	716	5	euro	euro	PROPN
cjfa-8205	716	6	mini	mini	NOUN
cjfa-8205	716	7	conference	conference	NOUN
cjfa-8205	716	8	on	on	ADP
cjfa-8205	716	9	continuous	continuous	ADJ
cjfa-8205	716	10	optimization	optimization	NOUN
cjfa-8205	716	11	and	and	CCONJ
cjfa-8205	716	12	knowledge	knowledge	NOUN
cjfa-8205	716	13	-	-	PUNCT
cjfa-8205	716	14	based	base	VERB
cjfa-8205	716	15	technologies	technology	NOUN
cjfa-8205	716	16	(	(	PUNCT
cjfa-8205	716	17	europt-2008	europt-2008	NOUN
cjfa-8205	716	18	)	)	PUNCT
cjfa-8205	716	19	.	.	PUNCT
cjfa-8205	717	1	neringa	neringa	PROPN
cjfa-8205	717	2	.	.	PUNCT
cjfa-8205	718	1	lithuania	lithuania	PROPN
cjfa-8205	718	2	.	.	PUNCT
cjfa-8205	719	1	416–421	416–421	NUM
cjfa-8205	719	2	.	.	PUNCT
cjfa-8205	720	1	simutis	simutis	PROPN
cjfa-8205	720	2	,	,	PUNCT
cjfa-8205	720	3	r.	r.	PROPN
cjfa-8205	720	4	,	,	PUNCT
cjfa-8205	720	5	dilijonas	dilijonas	PROPN
cjfa-8205	720	6	,	,	PUNCT
cjfa-8205	720	7	d.	d.	PROPN
cjfa-8205	720	8	,	,	PUNCT
cjfa-8205	720	9	bastina	bastina	PROPN
cjfa-8205	720	10	,	,	PUNCT
cjfa-8205	720	11	l.	l.	PROPN
cjfa-8205	720	12	,	,	PUNCT
cjfa-8205	720	13	&	&	CCONJ
cjfa-8205	720	14	friman	friman	PROPN
cjfa-8205	720	15	,	,	PUNCT
cjfa-8205	720	16	j.	j.	PROPN
cjfa-8205	720	17	(	(	PUNCT
cjfa-8205	720	18	2007	2007	NUM
cjfa-8205	720	19	)	)	PUNCT
cjfa-8205	720	20	.	.	PUNCT
cjfa-8205	721	1	a	a	DET
cjfa-8205	721	2	flexible	flexible	ADJ
cjfa-8205	721	3	neural	neural	ADJ
cjfa-8205	721	4	network	network	NOUN
cjfa-8205	721	5	for	for	ADP
cjfa-8205	721	6	atm	atm	NOUN
cjfa-8205	721	7	cash	cash	NOUN
cjfa-8205	721	8	demand	demand	NOUN
cjfa-8205	721	9	forecasting	forecasting	NOUN
cjfa-8205	721	10	.	.	PUNCT
cjfa-8205	722	1	proceedings	proceeding	NOUN
cjfa-8205	722	2	of	of	ADP
cjfa-8205	722	3	the	the	DET
cjfa-8205	722	4	sixth	sixth	ADJ
cjfa-8205	722	5	wseas	wseas	NOUN
cjfa-8205	722	6	international	international	ADJ
cjfa-8205	722	7	conference	conference	NOUN
cjfa-8205	722	8	on	on	ADP
cjfa-8205	722	9	computational	computational	ADJ
cjfa-8205	722	10	intelligence	intelligence	NOUN
cjfa-8205	722	11	,	,	PUNCT
cjfa-8205	722	12	man	man	NOUN
cjfa-8205	722	13	-	-	PUNCT
cjfa-8205	722	14	machine	machine	NOUN
cjfa-8205	722	15	systems	system	NOUN
cjfa-8205	722	16	and	and	CCONJ
cjfa-8205	722	17	cybernetics	cybernetic	NOUN
cjfa-8205	722	18	(	(	PUNCT
cjfa-8205	722	19	cimmacs	cimmacs	PROPN
cjfa-8205	722	20	07	07	NUM
cjfa-8205	722	21	)	)	PUNCT
cjfa-8205	722	22	.	.	PUNCT
cjfa-8205	723	1	162–165	162–165	NUM
cjfa-8205	723	2	.	.	PUNCT
cjfa-8205	724	1	specht	specht	PROPN
cjfa-8205	724	2	,	,	PUNCT
cjfa-8205	724	3	d.f	d.f	PROPN
cjfa-8205	724	4	.	.	PROPN
cjfa-8205	724	5	(	(	PUNCT
cjfa-8205	724	6	1991	1991	NUM
cjfa-8205	724	7	)	)	PUNCT
cjfa-8205	724	8	.	.	PUNCT
cjfa-8205	725	1	a	a	DET
cjfa-8205	725	2	general	general	ADJ
cjfa-8205	725	3	regression	regression	NOUN
cjfa-8205	725	4	neural	neural	ADJ
cjfa-8205	725	5	network	network	NOUN
cjfa-8205	725	6	.	.	PUNCT
cjfa-8205	726	1	ieee	ieee	NOUN
cjfa-8205	726	2	transactions	transaction	NOUN
cjfa-8205	726	3	on	on	ADP
cjfa-8205	726	4	neural	neural	ADJ
cjfa-8205	726	5	networks	network	NOUN
cjfa-8205	726	6	.	.	PUNCT
cjfa-8205	727	1	2(6	2(6	NUM
cjfa-8205	727	2	)	)	PUNCT
cjfa-8205	727	3	.	.	PUNCT
cjfa-8205	728	1	568–576	568–576	NUM
cjfa-8205	728	2	.	.	PUNCT
cjfa-8205	729	1	suykens	suykens	PROPN
cjfa-8205	729	2	,	,	PUNCT
cjfa-8205	729	3	j.a.k	j.a.k	PROPN
cjfa-8205	729	4	.	.	PROPN
cjfa-8205	729	5	,	,	PUNCT
cjfa-8205	729	6	van	van	PROPN
cjfa-8205	729	7	gestel	gestel	PROPN
cjfa-8205	729	8	,	,	PUNCT
cjfa-8205	729	9	t.	t.	PROPN
cjfa-8205	729	10	,	,	PUNCT
cjfa-8205	729	11	de	de	X
cjfa-8205	729	12	brabanter	brabanter	NOUN
cjfa-8205	729	13	,	,	PUNCT
cjfa-8205	729	14	j.	j.	PROPN
cjfa-8205	729	15	,	,	PUNCT
cjfa-8205	729	16	de	de	PROPN
cjfa-8205	729	17	moor	moor	PROPN
cjfa-8205	729	18	,	,	PUNCT
cjfa-8205	729	19	b.	b.	PROPN
cjfa-8205	729	20	,	,	PUNCT
cjfa-8205	729	21	&	&	CCONJ
cjfa-8205	729	22	vandewalle	vandewalle	PROPN
cjfa-8205	729	23	,	,	PUNCT
cjfa-8205	729	24	j.	j.	PROPN
cjfa-8205	729	25	(	(	PUNCT
cjfa-8205	729	26	2002	2002	NUM
cjfa-8205	729	27	)	)	PUNCT
cjfa-8205	729	28	.	.	PUNCT
cjfa-8205	730	1	least	least	ADJ
cjfa-8205	730	2	squares	square	NOUN
cjfa-8205	730	3	support	support	VERB
cjfa-8205	730	4	vector	vector	NOUN
cjfa-8205	730	5	machines	machine	NOUN
cjfa-8205	730	6	.	.	PUNCT
cjfa-8205	731	1	world	world	PROPN
cjfa-8205	731	2	scientific	scientific	PROPN
cjfa-8205	731	3	.	.	PUNCT
cjfa-8205	732	1	singapore	singapore	PROPN
cjfa-8205	732	2	.	.	PUNCT
cjfa-8205	733	1	tipping	tip	VERB
cjfa-8205	733	2	m.e	m.e	PROPN
cjfa-8205	733	3	.	.	PROPN
cjfa-8205	733	4	(	(	PUNCT
cjfa-8205	733	5	2001	2001	NUM
cjfa-8205	733	6	)	)	PUNCT
cjfa-8205	733	7	.	.	PUNCT
cjfa-8205	734	1	sparse	sparse	ADJ
cjfa-8205	734	2	bayesian	bayesian	NOUN
cjfa-8205	734	3	learning	learning	NOUN
cjfa-8205	734	4	and	and	CCONJ
cjfa-8205	734	5	the	the	DET
cjfa-8205	734	6	relevance	relevance	NOUN
cjfa-8205	734	7	vector	vector	NOUN
cjfa-8205	734	8	machine	machine	NOUN
cjfa-8205	734	9	.	.	PUNCT
cjfa-8205	735	1	journal	journal	PROPN
cjfa-8205	735	2	of	of	ADP
cjfa-8205	735	3	machine	machine	NOUN
cjfa-8205	735	4	learning	learn	VERB
cjfa-8205	735	5	research	research	NOUN
cjfa-8205	735	6	.	.	PUNCT
cjfa-8205	736	1	1	1	X
cjfa-8205	736	2	.	.	X
cjfa-8205	737	1	211–244	211–244	NUM
cjfa-8205	737	2	.	.	PUNCT
cjfa-8205	738	1	http://www.miketipping.com/	http://www.miketipping.com/	NOUN
cjfa-8205	738	2	sparsebayes.htm	sparsebayes.htm	X
cjfa-8205	738	3	(	(	PUNCT
cjfa-8205	738	4	accessed	access	VERB
cjfa-8205	738	5	:	:	PUNCT
cjfa-8205	738	6	29.03.2015	29.03.2015	NUM
cjfa-8205	738	7	)	)	PUNCT
cjfa-8205	738	8	.	.	PUNCT
cjfa-8205	739	1	wagner	wagner	PROPN
cjfa-8205	739	2	m.	m.	PROPN
cjfa-8205	739	3	(	(	PUNCT
cjfa-8205	739	4	2010	2010	NUM
cjfa-8205	739	5	)	)	PUNCT
cjfa-8205	739	6	.	.	PUNCT
cjfa-8205	740	1	forecasting	forecast	VERB
cjfa-8205	740	2	daily	daily	ADJ
cjfa-8205	740	3	demand	demand	NOUN
cjfa-8205	740	4	in	in	ADP
cjfa-8205	740	5	cash	cash	NOUN
cjfa-8205	740	6	supply	supply	NOUN
cjfa-8205	740	7	chain	chain	NOUN
cjfa-8205	740	8	.	.	PUNCT
cjfa-8205	741	1	american	american	PROPN
cjfa-8205	741	2	journal	journal	PROPN
cjfa-8205	741	3	of	of	ADP
cjfa-8205	741	4	economics	economics	PROPN
cjfa-8205	741	5	and	and	CCONJ
cjfa-8205	741	6	business	business	NOUN
cjfa-8205	741	7	administration	administration	NOUN
cjfa-8205	741	8	.	.	PUNCT
cjfa-8205	742	1	2(4	2(4	NUM
cjfa-8205	742	2	)	)	PUNCT
cjfa-8205	742	3	.	.	PUNCT
cjfa-8205	743	1	377–383	377–383	NUM
cjfa-8205	743	2	.	.	PUNCT
cjfa-8205	743	3	http://dx.doi.org/10.3844/	http://dx.doi.org/10.3844/	PROPN
cjfa-8205	743	4	ajebasp.2010.377.383	ajebasp.2010.377.383	PROPN
cjfa-8205	743	5	.	.	PUNCT
cjfa-8205	744	1	simutis	simutis	PROPN
cjfa-8205	744	2	,	,	PUNCT
cjfa-8205	744	3	r.	r.	PROPN
cjfa-8205	744	4	,	,	PUNCT
cjfa-8205	744	5	dilijonas	dilijonas	PROPN
cjfa-8205	744	6	,	,	PUNCT
cjfa-8205	744	7	d.	d.	PROPN
cjfa-8205	744	8	,	,	PUNCT
cjfa-8205	744	9	&	&	CCONJ
cjfa-8205	744	10	bastina	bastina	PROPN
cjfa-8205	744	11	,	,	PUNCT
cjfa-8205	744	12	l.	l.	PROPN
cjfa-8205	744	13	(	(	PUNCT
cjfa-8205	744	14	2008	2008	NUM
cjfa-8205	744	15	)	)	PUNCT
cjfa-8205	744	16	.	.	PUNCT
cjfa-8205	745	1	cash	cash	NOUN
cjfa-8205	745	2	demand	demand	NOUN
cjfa-8205	745	3	forecasting	forecasting	NOUN
cjfa-8205	745	4	for	for	ADP
cjfa-8205	745	5	atm	atm	NOUN
cjfa-8205	745	6	using	use	VERB
cjfa-8205	745	7	neural	neural	ADJ
cjfa-8205	745	8	networks	network	NOUN
cjfa-8205	745	9	and	and	CCONJ
cjfa-8205	745	10	support	support	VERB
cjfa-8205	745	11	vector	vector	NOUN
cjfa-8205	745	12	regression	regression	NOUN
cjfa-8205	745	13	algorithms	algorithm	NOUN
cjfa-8205	745	14	.	.	PUNCT
cjfa-8205	746	1	proceedings	proceeding	NOUN
cjfa-8205	746	2	of	of	ADP
cjfa-8205	746	3	the	the	DET
cjfa-8205	746	4	twentieth	twentieth	PROPN
cjfa-8205	746	5	euro	euro	PROPN
cjfa-8205	746	6	mini	mini	NOUN
cjfa-8205	746	7	conference	conference	NOUN
cjfa-8205	746	8	on	on	ADP
cjfa-8205	746	9	continuous	continuous	ADJ
cjfa-8205	746	10	optimization	optimization	NOUN
cjfa-8205	746	11	and	and	CCONJ
cjfa-8205	746	12	knowledge	knowledge	NOUN
cjfa-8205	746	13	-	-	PUNCT
cjfa-8205	746	14	based	base	VERB
cjfa-8205	746	15	technologies	technology	NOUN
cjfa-8205	746	16	(	(	PUNCT
cjfa-8205	746	17	europt-2008	europt-2008	NOUN
cjfa-8205	746	18	)	)	PUNCT
cjfa-8205	746	19	.	.	PUNCT
cjfa-8205	747	1	neringa	neringa	PROPN
cjfa-8205	747	2	.	.	PUNCT
cjfa-8205	748	1	lithuania	lithuania	PROPN
cjfa-8205	748	2	.	.	PUNCT
cjfa-8205	749	1	416–421	416–421	NUM
cjfa-8205	749	2	.	.	PUNCT
cjfa-8205	750	1	simutis	simutis	PROPN
cjfa-8205	750	2	,	,	PUNCT
cjfa-8205	750	3	r.	r.	PROPN
cjfa-8205	750	4	,	,	PUNCT
cjfa-8205	750	5	dilijonas	dilijonas	PROPN
cjfa-8205	750	6	,	,	PUNCT
cjfa-8205	750	7	d.	d.	PROPN
cjfa-8205	750	8	,	,	PUNCT
cjfa-8205	750	9	bastina	bastina	PROPN
cjfa-8205	750	10	,	,	PUNCT
cjfa-8205	750	11	l.	l.	PROPN
cjfa-8205	750	12	,	,	PUNCT
cjfa-8205	750	13	&	&	CCONJ
cjfa-8205	750	14	friman	friman	PROPN
cjfa-8205	750	15	,	,	PUNCT
cjfa-8205	750	16	j.	j.	PROPN
cjfa-8205	750	17	(	(	PUNCT
cjfa-8205	750	18	2007	2007	NUM
cjfa-8205	750	19	)	)	PUNCT
cjfa-8205	750	20	.	.	PUNCT
cjfa-8205	751	1	a	a	DET
cjfa-8205	751	2	flexible	flexible	ADJ
cjfa-8205	751	3	neural	neural	ADJ
cjfa-8205	751	4	network	network	NOUN
cjfa-8205	751	5	for	for	ADP
cjfa-8205	751	6	atm	atm	NOUN
cjfa-8205	751	7	cash	cash	NOUN
cjfa-8205	751	8	demand	demand	NOUN
cjfa-8205	751	9	forecasting	forecasting	NOUN
cjfa-8205	751	10	.	.	PUNCT
cjfa-8205	752	1	proceedings	proceeding	NOUN
cjfa-8205	752	2	of	of	ADP
cjfa-8205	752	3	the	the	DET
cjfa-8205	752	4	sixth	sixth	ADJ
cjfa-8205	752	5	wseas	wseas	NOUN
cjfa-8205	752	6	international	international	ADJ
cjfa-8205	752	7	conference	conference	NOUN
cjfa-8205	752	8	on	on	ADP
cjfa-8205	752	9	computational	computational	ADJ
cjfa-8205	752	10	intelligence	intelligence	NOUN
cjfa-8205	752	11	,	,	PUNCT
cjfa-8205	752	12	manmachine	manmachine	NOUN
cjfa-8205	752	13	systems	system	NOUN
cjfa-8205	752	14	and	and	CCONJ
cjfa-8205	752	15	cybernetics	cybernetic	NOUN
cjfa-8205	752	16	(	(	PUNCT
cjfa-8205	752	17	cimmacs	cimmacs	PROPN
cjfa-8205	752	18	07	07	NUM
cjfa-8205	752	19	)	)	PUNCT
cjfa-8205	752	20	.	.	PUNCT
cjfa-8205	753	1	162–165	162–165	NUM
cjfa-8205	753	2	.	.	PUNCT
cjfa-8205	754	1	specht	specht	PROPN
cjfa-8205	754	2	,	,	PUNCT
cjfa-8205	754	3	d.f	d.f	PROPN
cjfa-8205	754	4	.	.	PROPN
cjfa-8205	754	5	(	(	PUNCT
cjfa-8205	754	6	1991	1991	NUM
cjfa-8205	754	7	)	)	PUNCT
cjfa-8205	754	8	.	.	PUNCT
cjfa-8205	755	1	a	a	DET
cjfa-8205	755	2	general	general	ADJ
cjfa-8205	755	3	regression	regression	NOUN
cjfa-8205	755	4	neural	neural	ADJ
cjfa-8205	755	5	network	network	NOUN
cjfa-8205	755	6	.	.	PUNCT
cjfa-8205	756	1	ieee	ieee	NOUN
cjfa-8205	756	2	transactions	transaction	NOUN
cjfa-8205	756	3	on	on	ADP
cjfa-8205	756	4	neural	neural	ADJ
cjfa-8205	756	5	networks	network	NOUN
cjfa-8205	756	6	.	.	PUNCT
cjfa-8205	757	1	2(6	2(6	NUM
cjfa-8205	757	2	)	)	PUNCT
cjfa-8205	757	3	.	.	PUNCT
cjfa-8205	758	1	568–576	568–576	NUM
cjfa-8205	758	2	.	.	PUNCT
cjfa-8205	759	1	suykens	suykens	PROPN
cjfa-8205	759	2	,	,	PUNCT
cjfa-8205	759	3	j.a.k	j.a.k	PROPN
cjfa-8205	759	4	.	.	PROPN
cjfa-8205	759	5	,	,	PUNCT
cjfa-8205	759	6	van	van	PROPN
cjfa-8205	759	7	gestel	gestel	PROPN
cjfa-8205	759	8	,	,	PUNCT
cjfa-8205	759	9	t.	t.	PROPN
cjfa-8205	759	10	,	,	PUNCT
cjfa-8205	759	11	de	de	X
cjfa-8205	759	12	brabanter	brabanter	NOUN
cjfa-8205	759	13	,	,	PUNCT
cjfa-8205	759	14	j.	j.	PROPN
cjfa-8205	759	15	,	,	PUNCT
cjfa-8205	759	16	de	de	PROPN
cjfa-8205	759	17	moor	moor	PROPN
cjfa-8205	759	18	,	,	PUNCT
cjfa-8205	759	19	b.	b.	PROPN
cjfa-8205	759	20	,	,	PUNCT
cjfa-8205	759	21	&	&	CCONJ
cjfa-8205	759	22	vandewalle	vandewalle	PROPN
cjfa-8205	759	23	,	,	PUNCT
cjfa-8205	759	24	j.	j.	PROPN
cjfa-8205	759	25	(	(	PUNCT
cjfa-8205	759	26	2002	2002	NUM
cjfa-8205	759	27	)	)	PUNCT
cjfa-8205	759	28	.	.	PUNCT
cjfa-8205	760	1	least	least	ADJ
cjfa-8205	760	2	squares	square	NOUN
cjfa-8205	760	3	support	support	VERB
cjfa-8205	760	4	vector	vector	NOUN
cjfa-8205	760	5	machines	machine	NOUN
cjfa-8205	760	6	.	.	PUNCT
cjfa-8205	761	1	world	world	PROPN
cjfa-8205	761	2	scientific	scientific	PROPN
cjfa-8205	761	3	.	.	PUNCT
cjfa-8205	762	1	singapore	singapore	PROPN
cjfa-8205	762	2	.	.	PUNCT
cjfa-8205	763	1	tipping	tip	VERB
cjfa-8205	763	2	m.e	m.e	PROPN
cjfa-8205	763	3	.	.	PROPN
cjfa-8205	763	4	(	(	PUNCT
cjfa-8205	763	5	2001	2001	NUM
cjfa-8205	763	6	)	)	PUNCT
cjfa-8205	763	7	.	.	PUNCT
cjfa-8205	764	1	sparse	sparse	ADJ
cjfa-8205	764	2	bayesian	bayesian	NOUN
cjfa-8205	764	3	learning	learning	NOUN
cjfa-8205	764	4	and	and	CCONJ
cjfa-8205	764	5	the	the	DET
cjfa-8205	764	6	relevance	relevance	NOUN
cjfa-8205	764	7	vector	vector	NOUN
cjfa-8205	764	8	machine	machine	NOUN
cjfa-8205	764	9	.	.	PUNCT
cjfa-8205	765	1	journal	journal	PROPN
cjfa-8205	765	2	of	of	ADP
cjfa-8205	765	3	machine	machine	NOUN
cjfa-8205	765	4	learning	learn	VERB
cjfa-8205	765	5	research	research	NOUN
cjfa-8205	765	6	.	.	PUNCT
cjfa-8205	766	1	1	1	X
cjfa-8205	766	2	.	.	X
cjfa-8205	767	1	211–244	211–244	NUM
cjfa-8205	767	2	.	.	PUNCT
cjfa-8205	768	1	http://www.miketipping.com/sparsebayes.htm	http://www.miketipping.com/sparsebayes.htm	PROPN
cjfa-8205	768	2	(	(	PUNCT
cjfa-8205	768	3	accessed	access	VERB
cjfa-8205	768	4	:	:	PUNCT
cjfa-8205	768	5	29.03.2015	29.03.2015	NUM
cjfa-8205	768	6	)	)	PUNCT
cjfa-8205	768	7	.	.	PUNCT
cjfa-8205	769	1	wagner	wagner	PROPN
cjfa-8205	769	2	m.	m.	PROPN
cjfa-8205	769	3	(	(	PUNCT
cjfa-8205	769	4	2010	2010	NUM
cjfa-8205	769	5	)	)	PUNCT
cjfa-8205	769	6	.	.	PUNCT
cjfa-8205	770	1	forecasting	forecast	VERB
cjfa-8205	770	2	daily	daily	ADJ
cjfa-8205	770	3	demand	demand	NOUN
cjfa-8205	770	4	in	in	ADP
cjfa-8205	770	5	cash	cash	NOUN
cjfa-8205	770	6	supply	supply	NOUN
cjfa-8205	770	7	chain	chain	NOUN
cjfa-8205	770	8	.	.	PUNCT
cjfa-8205	771	1	american	american	PROPN
cjfa-8205	771	2	journal	journal	PROPN
cjfa-8205	771	3	of	of	ADP
cjfa-8205	771	4	economics	economics	PROPN
cjfa-8205	771	5	and	and	CCONJ
cjfa-8205	771	6	business	business	NOUN
cjfa-8205	771	7	administration	administration	NOUN
cjfa-8205	771	8	.	.	PUNCT
cjfa-8205	772	1	2(4	2(4	NUM
cjfa-8205	772	2	)	)	PUNCT
cjfa-8205	772	3	.	.	PUNCT
cjfa-8205	773	1	377–383	377–383	NUM
cjfa-8205	773	2	.	.	PUNCT
cjfa-8205	773	3	http://dx.doi.org/10.3844/ajebasp.2010.377.383	http://dx.doi.org/10.3844/ajebasp.2010.377.383	NOUN
cjfa-8205	773	4	.	.	PUNCT
cjfa-8205	774	1	appendix	appendix	ADJ
cjfa-8205	774	2	day	day	NOUN
cjfa-8205	774	3	sequence	sequence	NOUN
cjfa-8205	774	4	number	number	NOUN
cjfa-8205	774	5	0	0	NUM
cjfa-8205	774	6	100	100	NUM
cjfa-8205	774	7	200	200	NUM
cjfa-8205	774	8	300	300	NUM
cjfa-8205	774	9	400	400	NUM
cjfa-8205	774	10	500	500	NUM
cjfa-8205	774	11	600	600	NUM
cjfa-8205	774	12	700	700	NUM
cjfa-8205	774	13	800	800	NUM
cjfa-8205	774	14	900	900	NUM
cjfa-8205	774	15	0	0	NUM
cjfa-8205	774	16	0.5	0.5	NUM
cjfa-8205	774	17	1	1	NUM
cjfa-8205	774	18	atm	atm	NOUN
cjfa-8205	774	19	number	number	NOUN
cjfa-8205	774	20	1	1	NUM
cjfa-8205	774	21	cash	cash	NOUN
cjfa-8205	774	22	flow	flow	NOUN
cjfa-8205	774	23	lag	lag	NOUN
cjfa-8205	774	24	0	0	NUM
cjfa-8205	774	25	50	50	NUM
cjfa-8205	774	26	100	100	NUM
cjfa-8205	774	27	150	150	NUM
cjfa-8205	774	28	200	200	NUM
cjfa-8205	774	29	250	250	NUM
cjfa-8205	774	30	300	300	NUM
cjfa-8205	774	31	350	350	NUM
cjfa-8205	774	32	400	400	NUM
cjfa-8205	774	33	450	450	NUM
cjfa-8205	774	34	-0.5	-0.5	NUM
cjfa-8205	774	35	0	0	NUM
cjfa-8205	774	36	0.5	0.5	NUM
cjfa-8205	774	37	1	1	NUM
cjfa-8205	774	38	sample	sample	NOUN
cjfa-8205	774	39	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	40	function	function	NOUN
cjfa-8205	774	41	sequence	sequence	NOUN
cjfa-8205	774	42	number	number	NOUN
cjfa-8205	774	43	of	of	ADP
cjfa-8205	774	44	mean	mean	ADJ
cjfa-8205	774	45	-	-	PUNCT
cjfa-8205	774	46	sorted	sort	VERB
cjfa-8205	774	47	feature	feature	NOUN
cjfa-8205	774	48	set	set	VERB
cjfa-8205	774	49	10	10	NUM
cjfa-8205	774	50	20	20	NUM
cjfa-8205	774	51	30	30	NUM
cjfa-8205	774	52	40	40	NUM
cjfa-8205	774	53	50	50	NUM
cjfa-8205	774	54	60	60	NUM
cjfa-8205	774	55	40	40	NUM
cjfa-8205	774	56	45	45	NUM
cjfa-8205	774	57	50	50	NUM
cjfa-8205	774	58	55	55	NUM
cjfa-8205	774	59	60	60	NUM
cjfa-8205	774	60	65	65	NUM
cjfa-8205	774	61	atm	atm	ADJ
cjfa-8205	774	62	number	number	NOUN
cjfa-8205	774	63	1	1	NUM
cjfa-8205	774	64	forecasting	forecasting	NOUN
cjfa-8205	774	65	results	result	NOUN
cjfa-8205	774	66	2	2	NUM
cjfa-8205	774	67	year	year	NOUN
cjfa-8205	774	68	training	training	NOUN
cjfa-8205	774	69	1.5	1.5	NUM
cjfa-8205	774	70	year	year	NOUN
cjfa-8205	774	71	training	training	NOUN
cjfa-8205	774	72	1	1	NUM
cjfa-8205	774	73	year	year	NOUN
cjfa-8205	774	74	training	training	NOUN
cjfa-8205	774	75	0.5	0.5	NUM
cjfa-8205	774	76	year	year	NOUN
cjfa-8205	774	77	training	training	NOUN
cjfa-8205	774	78	day	day	NOUN
cjfa-8205	774	79	sequence	sequence	NOUN
cjfa-8205	774	80	number	number	NOUN
cjfa-8205	774	81	0	0	NUM
cjfa-8205	774	82	100	100	NUM
cjfa-8205	774	83	200	200	NUM
cjfa-8205	774	84	300	300	NUM
cjfa-8205	774	85	400	400	NUM
cjfa-8205	774	86	500	500	NUM
cjfa-8205	774	87	600	600	NUM
cjfa-8205	774	88	700	700	NUM
cjfa-8205	774	89	800	800	NUM
cjfa-8205	774	90	900	900	NUM
cjfa-8205	774	91	1000	1000	NUM
cjfa-8205	774	92	0	0	NUM
cjfa-8205	774	93	0.5	0.5	NUM
cjfa-8205	774	94	1	1	NUM
cjfa-8205	774	95	atm	atm	NOUN
cjfa-8205	774	96	number	number	NOUN
cjfa-8205	774	97	2	2	NUM
cjfa-8205	774	98	cash	cash	NOUN
cjfa-8205	774	99	flow	flow	NOUN
cjfa-8205	774	100	lag	lag	NOUN
cjfa-8205	774	101	0	0	NUM
cjfa-8205	774	102	50	50	NUM
cjfa-8205	774	103	100	100	NUM
cjfa-8205	774	104	150	150	NUM
cjfa-8205	774	105	200	200	NUM
cjfa-8205	774	106	250	250	NUM
cjfa-8205	774	107	300	300	NUM
cjfa-8205	774	108	350	350	NUM
cjfa-8205	774	109	400	400	NUM
cjfa-8205	774	110	450	450	NUM
cjfa-8205	774	111	500	500	NUM
cjfa-8205	774	112	-0.5	-0.5	NUM
cjfa-8205	774	113	0	0	NUM
cjfa-8205	774	114	0.5	0.5	NUM
cjfa-8205	774	115	1	1	NUM
cjfa-8205	774	116	sample	sample	NOUN
cjfa-8205	774	117	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	118	function	function	NOUN
cjfa-8205	774	119	sequence	sequence	NOUN
cjfa-8205	774	120	number	number	NOUN
cjfa-8205	774	121	of	of	ADP
cjfa-8205	774	122	mean	mean	ADJ
cjfa-8205	774	123	-	-	PUNCT
cjfa-8205	774	124	sorted	sort	VERB
cjfa-8205	774	125	feature	feature	NOUN
cjfa-8205	774	126	set	set	VERB
cjfa-8205	774	127	0	0	NUM
cjfa-8205	774	128	10	10	NUM
cjfa-8205	774	129	20	20	NUM
cjfa-8205	774	130	30	30	NUM
cjfa-8205	774	131	40	40	NUM
cjfa-8205	774	132	50	50	NUM
cjfa-8205	774	133	60	60	NUM
cjfa-8205	774	134	70	70	NUM
cjfa-8205	774	135	50	50	NUM
cjfa-8205	774	136	60	60	NUM
cjfa-8205	774	137	70	70	NUM
cjfa-8205	774	138	80	80	NUM
cjfa-8205	774	139	90	90	NUM
cjfa-8205	774	140	100	100	NUM
cjfa-8205	774	141	110	110	NUM
cjfa-8205	774	142	120	120	NUM
cjfa-8205	774	143	130	130	NUM
cjfa-8205	774	144	atm	atm	NOUN
cjfa-8205	774	145	number	number	NOUN
cjfa-8205	774	146	2	2	NUM
cjfa-8205	774	147	forecasting	forecasting	NOUN
cjfa-8205	774	148	results	result	NOUN
cjfa-8205	774	149	2	2	NUM
cjfa-8205	774	150	year	year	NOUN
cjfa-8205	774	151	training	training	NOUN
cjfa-8205	774	152	1.5	1.5	NUM
cjfa-8205	774	153	year	year	NOUN
cjfa-8205	774	154	training	training	NOUN
cjfa-8205	774	155	1	1	NUM
cjfa-8205	774	156	year	year	NOUN
cjfa-8205	774	157	training	training	NOUN
cjfa-8205	774	158	0.5	0.5	NUM
cjfa-8205	774	159	year	year	NOUN
cjfa-8205	774	160	training	training	NOUN
cjfa-8205	774	161	appendix	appendix	ADJ
cjfa-8205	774	162	sequence	sequence	NOUN
cjfa-8205	774	163	number	number	NOUN
cjfa-8205	774	164	of	of	ADP
cjfa-8205	774	165	mean	mean	ADJ
cjfa-8205	774	166	-	-	PUNCT
cjfa-8205	774	167	sorted	sort	VERB
cjfa-8205	774	168	feature	feature	NOUN
cjfa-8205	774	169	set	set	VERB
cjfa-8205	774	170	10	10	NUM
cjfa-8205	774	171	20	20	NUM
cjfa-8205	774	172	30	30	NUM
cjfa-8205	774	173	40	40	NUM
cjfa-8205	774	174	50	50	NUM
cjfa-8205	774	175	60	60	NUM
cjfa-8205	774	176	40	40	NUM
cjfa-8205	774	177	45	45	NUM
cjfa-8205	774	178	50	50	NUM
cjfa-8205	774	179	55	55	NUM
cjfa-8205	774	180	60	60	NUM
cjfa-8205	774	181	65	65	NUM
cjfa-8205	774	182	atm	atm	ADJ
cjfa-8205	774	183	number	number	NOUN
cjfa-8205	774	184	1	1	NUM
cjfa-8205	774	185	forecasting	forecasting	NOUN
cjfa-8205	774	186	results	result	NOUN
cjfa-8205	774	187	2	2	NUM
cjfa-8205	774	188	year	year	NOUN
cjfa-8205	774	189	training	training	NOUN
cjfa-8205	774	190	1.5	1.5	NUM
cjfa-8205	774	191	year	year	NOUN
cjfa-8205	774	192	training	training	NOUN
cjfa-8205	774	193	1	1	NUM
cjfa-8205	774	194	year	year	NOUN
cjfa-8205	774	195	training	training	NOUN
cjfa-8205	774	196	0.5	0.5	NUM
cjfa-8205	774	197	year	year	NOUN
cjfa-8205	774	198	training	training	NOUN
cjfa-8205	774	199	day	day	NOUN
cjfa-8205	774	200	sequence	sequence	NOUN
cjfa-8205	774	201	number	number	NOUN
cjfa-8205	774	202	0	0	NUM
cjfa-8205	774	203	100	100	NUM
cjfa-8205	774	204	200	200	NUM
cjfa-8205	774	205	300	300	NUM
cjfa-8205	774	206	400	400	NUM
cjfa-8205	774	207	500	500	NUM
cjfa-8205	774	208	600	600	NUM
cjfa-8205	774	209	700	700	NUM
cjfa-8205	774	210	800	800	NUM
cjfa-8205	774	211	900	900	NUM
cjfa-8205	774	212	1000	1000	NUM
cjfa-8205	774	213	0	0	NUM
cjfa-8205	774	214	0.5	0.5	NUM
cjfa-8205	774	215	1	1	NUM
cjfa-8205	774	216	atm	atm	NOUN
cjfa-8205	774	217	number	number	NOUN
cjfa-8205	774	218	2	2	NUM
cjfa-8205	774	219	cash	cash	NOUN
cjfa-8205	774	220	flow	flow	NOUN
cjfa-8205	774	221	lag	lag	NOUN
cjfa-8205	774	222	0	0	NUM
cjfa-8205	774	223	50	50	NUM
cjfa-8205	774	224	100	100	NUM
cjfa-8205	774	225	150	150	NUM
cjfa-8205	774	226	200	200	NUM
cjfa-8205	774	227	250	250	NUM
cjfa-8205	774	228	300	300	NUM
cjfa-8205	774	229	350	350	NUM
cjfa-8205	774	230	400	400	NUM
cjfa-8205	774	231	450	450	NUM
cjfa-8205	774	232	500	500	NUM
cjfa-8205	774	233	-0.5	-0.5	NUM
cjfa-8205	774	234	0	0	NUM
cjfa-8205	774	235	0.5	0.5	NUM
cjfa-8205	774	236	1	1	NUM
cjfa-8205	774	237	sample	sample	NOUN
cjfa-8205	774	238	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	239	function	function	NOUN
cjfa-8205	774	240	sequence	sequence	NOUN
cjfa-8205	774	241	number	number	NOUN
cjfa-8205	774	242	of	of	ADP
cjfa-8205	774	243	mean	mean	ADJ
cjfa-8205	774	244	-	-	PUNCT
cjfa-8205	774	245	sorted	sort	VERB
cjfa-8205	774	246	feature	feature	NOUN
cjfa-8205	774	247	set	set	VERB
cjfa-8205	774	248	0	0	NUM
cjfa-8205	774	249	10	10	NUM
cjfa-8205	774	250	20	20	NUM
cjfa-8205	774	251	30	30	NUM
cjfa-8205	774	252	40	40	NUM
cjfa-8205	774	253	50	50	NUM
cjfa-8205	774	254	60	60	NUM
cjfa-8205	774	255	70	70	NUM
cjfa-8205	774	256	50	50	NUM
cjfa-8205	774	257	60	60	NUM
cjfa-8205	774	258	70	70	NUM
cjfa-8205	774	259	80	80	NUM
cjfa-8205	774	260	90	90	NUM
cjfa-8205	774	261	100	100	NUM
cjfa-8205	774	262	110	110	NUM
cjfa-8205	774	263	120	120	NUM
cjfa-8205	774	264	130	130	NUM
cjfa-8205	774	265	atm	atm	NOUN
cjfa-8205	774	266	number	number	NOUN
cjfa-8205	774	267	2	2	NUM
cjfa-8205	774	268	forecasting	forecasting	NOUN
cjfa-8205	774	269	results	result	NOUN
cjfa-8205	774	270	2	2	NUM
cjfa-8205	774	271	year	year	NOUN
cjfa-8205	774	272	training	training	NOUN
cjfa-8205	774	273	1.5	1.5	NUM
cjfa-8205	774	274	year	year	NOUN
cjfa-8205	774	275	training	training	NOUN
cjfa-8205	774	276	1	1	NUM
cjfa-8205	774	277	year	year	NOUN
cjfa-8205	774	278	training	training	NOUN
cjfa-8205	774	279	0.5	0.5	NUM
cjfa-8205	774	280	year	year	NOUN
cjfa-8205	774	281	training	training	NOUN
cjfa-8205	774	282	sequence	sequence	NOUN
cjfa-8205	774	283	number	number	NOUN
cjfa-8205	774	284	of	of	ADP
cjfa-8205	774	285	mean	mean	ADJ
cjfa-8205	774	286	-	-	PUNCT
cjfa-8205	774	287	sorted	sort	VERB
cjfa-8205	774	288	feature	feature	NOUN
cjfa-8205	774	289	set	set	VERB
cjfa-8205	774	290	10	10	NUM
cjfa-8205	774	291	20	20	NUM
cjfa-8205	774	292	30	30	NUM
cjfa-8205	774	293	40	40	NUM
cjfa-8205	774	294	50	50	NUM
cjfa-8205	774	295	60	60	NUM
cjfa-8205	774	296	40	40	NUM
cjfa-8205	774	297	45	45	NUM
cjfa-8205	774	298	50	50	NUM
cjfa-8205	774	299	55	55	NUM
cjfa-8205	774	300	60	60	NUM
cjfa-8205	774	301	65	65	NUM
cjfa-8205	774	302	atm	atm	ADJ
cjfa-8205	774	303	number	number	NOUN
cjfa-8205	774	304	1	1	NUM
cjfa-8205	774	305	forecasting	forecasting	NOUN
cjfa-8205	774	306	results	result	NOUN
cjfa-8205	774	307	2	2	NUM
cjfa-8205	774	308	year	year	NOUN
cjfa-8205	774	309	training	training	NOUN
cjfa-8205	774	310	1.5	1.5	NUM
cjfa-8205	774	311	year	year	NOUN
cjfa-8205	774	312	training	training	NOUN
cjfa-8205	774	313	1	1	NUM
cjfa-8205	774	314	year	year	NOUN
cjfa-8205	774	315	training	training	NOUN
cjfa-8205	774	316	0.5	0.5	NUM
cjfa-8205	774	317	year	year	NOUN
cjfa-8205	774	318	training	training	NOUN
cjfa-8205	774	319	day	day	NOUN
cjfa-8205	774	320	sequence	sequence	NOUN
cjfa-8205	774	321	number	number	NOUN
cjfa-8205	774	322	0	0	NUM
cjfa-8205	774	323	100	100	NUM
cjfa-8205	774	324	200	200	NUM
cjfa-8205	774	325	300	300	NUM
cjfa-8205	774	326	400	400	NUM
cjfa-8205	774	327	500	500	NUM
cjfa-8205	774	328	600	600	NUM
cjfa-8205	774	329	700	700	NUM
cjfa-8205	774	330	800	800	NUM
cjfa-8205	774	331	900	900	NUM
cjfa-8205	774	332	1000	1000	NUM
cjfa-8205	774	333	0	0	NUM
cjfa-8205	774	334	0.5	0.5	NUM
cjfa-8205	774	335	1	1	NUM
cjfa-8205	774	336	atm	atm	NOUN
cjfa-8205	774	337	number	number	NOUN
cjfa-8205	774	338	2	2	NUM
cjfa-8205	774	339	cash	cash	NOUN
cjfa-8205	774	340	flow	flow	NOUN
cjfa-8205	774	341	lag	lag	NOUN
cjfa-8205	774	342	0	0	NUM
cjfa-8205	774	343	50	50	NUM
cjfa-8205	774	344	100	100	NUM
cjfa-8205	774	345	150	150	NUM
cjfa-8205	774	346	200	200	NUM
cjfa-8205	774	347	250	250	NUM
cjfa-8205	774	348	300	300	NUM
cjfa-8205	774	349	350	350	NUM
cjfa-8205	774	350	400	400	NUM
cjfa-8205	774	351	450	450	NUM
cjfa-8205	774	352	500	500	NUM
cjfa-8205	774	353	-0.5	-0.5	NUM
cjfa-8205	774	354	0	0	NUM
cjfa-8205	774	355	0.5	0.5	NUM
cjfa-8205	774	356	1	1	NUM
cjfa-8205	774	357	sample	sample	NOUN
cjfa-8205	774	358	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	359	function	function	NOUN
cjfa-8205	774	360	sequence	sequence	NOUN
cjfa-8205	774	361	number	number	NOUN
cjfa-8205	774	362	of	of	ADP
cjfa-8205	774	363	mean	mean	ADJ
cjfa-8205	774	364	-	-	PUNCT
cjfa-8205	774	365	sorted	sort	VERB
cjfa-8205	774	366	feature	feature	NOUN
cjfa-8205	774	367	set	set	VERB
cjfa-8205	774	368	0	0	NUM
cjfa-8205	774	369	10	10	NUM
cjfa-8205	774	370	20	20	NUM
cjfa-8205	774	371	30	30	NUM
cjfa-8205	774	372	40	40	NUM
cjfa-8205	774	373	50	50	NUM
cjfa-8205	774	374	60	60	NUM
cjfa-8205	774	375	70	70	NUM
cjfa-8205	774	376	50	50	NUM
cjfa-8205	774	377	60	60	NUM
cjfa-8205	774	378	70	70	NUM
cjfa-8205	774	379	80	80	NUM
cjfa-8205	774	380	90	90	NUM
cjfa-8205	774	381	100	100	NUM
cjfa-8205	774	382	110	110	NUM
cjfa-8205	774	383	120	120	NUM
cjfa-8205	774	384	130	130	NUM
cjfa-8205	774	385	atm	atm	NOUN
cjfa-8205	774	386	number	number	NOUN
cjfa-8205	774	387	2	2	NUM
cjfa-8205	774	388	forecasting	forecasting	NOUN
cjfa-8205	774	389	results	result	NOUN
cjfa-8205	774	390	2	2	NUM
cjfa-8205	774	391	year	year	NOUN
cjfa-8205	774	392	training	training	NOUN
cjfa-8205	774	393	1.5	1.5	NUM
cjfa-8205	774	394	year	year	NOUN
cjfa-8205	774	395	training	training	NOUN
cjfa-8205	774	396	1	1	NUM
cjfa-8205	774	397	year	year	NOUN
cjfa-8205	774	398	training	training	NOUN
cjfa-8205	774	399	0.5	0.5	NUM
cjfa-8205	774	400	year	year	NOUN
cjfa-8205	774	401	training	training	NOUN
cjfa-8205	774	402	day	day	NOUN
cjfa-8205	774	403	sequence	sequence	NOUN
cjfa-8205	774	404	number	number	NOUN
cjfa-8205	774	405	0	0	NUM
cjfa-8205	774	406	100	100	NUM
cjfa-8205	774	407	200	200	NUM
cjfa-8205	774	408	300	300	NUM
cjfa-8205	774	409	400	400	NUM
cjfa-8205	774	410	500	500	NUM
cjfa-8205	774	411	600	600	NUM
cjfa-8205	774	412	700	700	NUM
cjfa-8205	774	413	800	800	NUM
cjfa-8205	774	414	900	900	NUM
cjfa-8205	774	415	1000	1000	NUM
cjfa-8205	774	416	0	0	NUM
cjfa-8205	774	417	0.5	0.5	NUM
cjfa-8205	774	418	1	1	NUM
cjfa-8205	774	419	atm	atm	NOUN
cjfa-8205	774	420	number	number	NOUN
cjfa-8205	774	421	3	3	NUM
cjfa-8205	774	422	cash	cash	NOUN
cjfa-8205	774	423	flow	flow	NOUN
cjfa-8205	774	424	lag	lag	NOUN
cjfa-8205	774	425	0	0	NUM
cjfa-8205	774	426	50	50	NUM
cjfa-8205	774	427	100	100	NUM
cjfa-8205	774	428	150	150	NUM
cjfa-8205	774	429	200	200	NUM
cjfa-8205	774	430	250	250	NUM
cjfa-8205	774	431	300	300	NUM
cjfa-8205	774	432	350	350	NUM
cjfa-8205	774	433	400	400	NUM
cjfa-8205	774	434	450	450	NUM
cjfa-8205	774	435	500	500	NUM
cjfa-8205	774	436	-0.5	-0.5	NUM
cjfa-8205	774	437	0	0	NUM
cjfa-8205	774	438	0.5	0.5	NUM
cjfa-8205	774	439	1	1	NUM
cjfa-8205	774	440	sample	sample	NOUN
cjfa-8205	774	441	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	442	function	function	NOUN
cjfa-8205	774	443	sequence	sequence	NOUN
cjfa-8205	774	444	number	number	NOUN
cjfa-8205	774	445	of	of	ADP
cjfa-8205	774	446	mean	mean	ADJ
cjfa-8205	774	447	-	-	PUNCT
cjfa-8205	774	448	sorted	sort	VERB
cjfa-8205	774	449	feature	feature	NOUN
cjfa-8205	774	450	set	set	VERB
cjfa-8205	774	451	0	0	NUM
cjfa-8205	774	452	10	10	NUM
cjfa-8205	774	453	20	20	NUM
cjfa-8205	774	454	30	30	NUM
cjfa-8205	774	455	40	40	NUM
cjfa-8205	774	456	50	50	NUM
cjfa-8205	774	457	60	60	NUM
cjfa-8205	774	458	70	70	NUM
cjfa-8205	774	459	65	65	NUM
cjfa-8205	774	460	70	70	NUM
cjfa-8205	774	461	75	75	NUM
cjfa-8205	774	462	80	80	NUM
cjfa-8205	774	463	85	85	NUM
cjfa-8205	774	464	90	90	NUM
cjfa-8205	774	465	95	95	NUM
cjfa-8205	774	466	100	100	NUM
cjfa-8205	774	467	105	105	NUM
cjfa-8205	774	468	atm	atm	ADJ
cjfa-8205	774	469	number	number	NOUN
cjfa-8205	774	470	3	3	NUM
cjfa-8205	774	471	forecasting	forecasting	NOUN
cjfa-8205	774	472	results	result	NOUN
cjfa-8205	774	473	2	2	NUM
cjfa-8205	774	474	year	year	NOUN
cjfa-8205	774	475	training	training	NOUN
cjfa-8205	774	476	1.5	1.5	NUM
cjfa-8205	774	477	year	year	NOUN
cjfa-8205	774	478	training	training	NOUN
cjfa-8205	774	479	1	1	NUM
cjfa-8205	774	480	year	year	NOUN
cjfa-8205	774	481	training	training	NOUN
cjfa-8205	774	482	0.5	0.5	NUM
cjfa-8205	774	483	year	year	NOUN
cjfa-8205	774	484	training	training	NOUN
cjfa-8205	774	485	day	day	NOUN
cjfa-8205	774	486	sequence	sequence	NOUN
cjfa-8205	774	487	number	number	NOUN
cjfa-8205	774	488	0	0	NUM
cjfa-8205	774	489	100	100	NUM
cjfa-8205	774	490	200	200	NUM
cjfa-8205	774	491	300	300	NUM
cjfa-8205	774	492	400	400	NUM
cjfa-8205	774	493	500	500	NUM
cjfa-8205	774	494	600	600	NUM
cjfa-8205	774	495	700	700	NUM
cjfa-8205	774	496	800	800	NUM
cjfa-8205	774	497	900	900	NUM
cjfa-8205	774	498	1000	1000	NUM
cjfa-8205	774	499	0	0	NUM
cjfa-8205	774	500	0.5	0.5	NUM
cjfa-8205	774	501	1	1	NUM
cjfa-8205	774	502	atm	atm	NOUN
cjfa-8205	774	503	number	number	NOUN
cjfa-8205	774	504	4	4	NUM
cjfa-8205	774	505	cash	cash	NOUN
cjfa-8205	774	506	flow	flow	NOUN
cjfa-8205	774	507	lag	lag	NOUN
cjfa-8205	774	508	0	0	NUM
cjfa-8205	774	509	50	50	NUM
cjfa-8205	774	510	100	100	NUM
cjfa-8205	774	511	150	150	NUM
cjfa-8205	774	512	200	200	NUM
cjfa-8205	774	513	250	250	NUM
cjfa-8205	774	514	300	300	NUM
cjfa-8205	774	515	350	350	NUM
cjfa-8205	774	516	400	400	NUM
cjfa-8205	774	517	450	450	NUM
cjfa-8205	774	518	500	500	NUM
cjfa-8205	774	519	-0.5	-0.5	NUM
cjfa-8205	774	520	0	0	NUM
cjfa-8205	774	521	0.5	0.5	NUM
cjfa-8205	774	522	1	1	NUM
cjfa-8205	774	523	sample	sample	NOUN
cjfa-8205	774	524	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	525	function	function	NOUN
cjfa-8205	774	526	day	day	NOUN
cjfa-8205	774	527	sequence	sequence	NOUN
cjfa-8205	774	528	number	number	NOUN
cjfa-8205	774	529	0	0	NUM
cjfa-8205	774	530	100	100	NUM
cjfa-8205	774	531	200	200	NUM
cjfa-8205	774	532	300	300	NUM
cjfa-8205	774	533	400	400	NUM
cjfa-8205	774	534	500	500	NUM
cjfa-8205	774	535	600	600	NUM
cjfa-8205	774	536	700	700	NUM
cjfa-8205	774	537	800	800	NUM
cjfa-8205	774	538	900	900	NUM
cjfa-8205	774	539	1000	1000	NUM
cjfa-8205	774	540	0	0	NUM
cjfa-8205	774	541	0.5	0.5	NUM
cjfa-8205	774	542	1	1	NUM
cjfa-8205	774	543	atm	atm	NOUN
cjfa-8205	774	544	number	number	NOUN
cjfa-8205	774	545	3	3	NUM
cjfa-8205	774	546	cash	cash	NOUN
cjfa-8205	774	547	flow	flow	NOUN
cjfa-8205	774	548	lag	lag	NOUN
cjfa-8205	774	549	0	0	NUM
cjfa-8205	774	550	50	50	NUM
cjfa-8205	774	551	100	100	NUM
cjfa-8205	774	552	150	150	NUM
cjfa-8205	774	553	200	200	NUM
cjfa-8205	774	554	250	250	NUM
cjfa-8205	774	555	300	300	NUM
cjfa-8205	774	556	350	350	NUM
cjfa-8205	774	557	400	400	NUM
cjfa-8205	774	558	450	450	NUM
cjfa-8205	774	559	500	500	NUM
cjfa-8205	774	560	-0.5	-0.5	NUM
cjfa-8205	774	561	0	0	NUM
cjfa-8205	774	562	0.5	0.5	NUM
cjfa-8205	774	563	1	1	NUM
cjfa-8205	774	564	sample	sample	NOUN
cjfa-8205	774	565	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	566	function	function	NOUN
cjfa-8205	774	567	sequence	sequence	NOUN
cjfa-8205	774	568	number	number	NOUN
cjfa-8205	774	569	of	of	ADP
cjfa-8205	774	570	mean	mean	ADJ
cjfa-8205	774	571	-	-	PUNCT
cjfa-8205	774	572	sorted	sort	VERB
cjfa-8205	774	573	feature	feature	NOUN
cjfa-8205	774	574	set	set	VERB
cjfa-8205	774	575	0	0	NUM
cjfa-8205	774	576	10	10	NUM
cjfa-8205	774	577	20	20	NUM
cjfa-8205	774	578	30	30	NUM
cjfa-8205	774	579	40	40	NUM
cjfa-8205	774	580	50	50	NUM
cjfa-8205	774	581	60	60	NUM
cjfa-8205	774	582	70	70	NUM
cjfa-8205	774	583	65	65	NUM
cjfa-8205	774	584	70	70	NUM
cjfa-8205	774	585	75	75	NUM
cjfa-8205	774	586	80	80	NUM
cjfa-8205	774	587	85	85	NUM
cjfa-8205	774	588	90	90	NUM
cjfa-8205	774	589	95	95	NUM
cjfa-8205	774	590	100	100	NUM
cjfa-8205	774	591	105	105	NUM
cjfa-8205	774	592	atm	atm	ADJ
cjfa-8205	774	593	number	number	NOUN
cjfa-8205	774	594	3	3	NUM
cjfa-8205	774	595	forecasting	forecasting	NOUN
cjfa-8205	774	596	results	result	NOUN
cjfa-8205	774	597	2	2	NUM
cjfa-8205	774	598	year	year	NOUN
cjfa-8205	774	599	training	training	NOUN
cjfa-8205	774	600	1.5	1.5	NUM
cjfa-8205	774	601	year	year	NOUN
cjfa-8205	774	602	training	training	NOUN
cjfa-8205	774	603	1	1	NUM
cjfa-8205	774	604	year	year	NOUN
cjfa-8205	774	605	training	training	NOUN
cjfa-8205	774	606	0.5	0.5	NUM
cjfa-8205	774	607	year	year	NOUN
cjfa-8205	774	608	training	training	NOUN
cjfa-8205	774	609	day	day	NOUN
cjfa-8205	774	610	sequence	sequence	NOUN
cjfa-8205	774	611	number	number	NOUN
cjfa-8205	774	612	0	0	NUM
cjfa-8205	774	613	100	100	NUM
cjfa-8205	774	614	200	200	NUM
cjfa-8205	774	615	300	300	NUM
cjfa-8205	774	616	400	400	NUM
cjfa-8205	774	617	500	500	NUM
cjfa-8205	774	618	600	600	NUM
cjfa-8205	774	619	700	700	NUM
cjfa-8205	774	620	800	800	NUM
cjfa-8205	774	621	900	900	NUM
cjfa-8205	774	622	1000	1000	NUM
cjfa-8205	774	623	0	0	NUM
cjfa-8205	774	624	0.5	0.5	NUM
cjfa-8205	774	625	1	1	NUM
cjfa-8205	774	626	atm	atm	NOUN
cjfa-8205	774	627	number	number	NOUN
cjfa-8205	774	628	4	4	NUM
cjfa-8205	774	629	cash	cash	NOUN
cjfa-8205	774	630	flow	flow	NOUN
cjfa-8205	774	631	lag	lag	NOUN
cjfa-8205	774	632	0	0	NUM
cjfa-8205	774	633	50	50	NUM
cjfa-8205	774	634	100	100	NUM
cjfa-8205	774	635	150	150	NUM
cjfa-8205	774	636	200	200	NUM
cjfa-8205	774	637	250	250	NUM
cjfa-8205	774	638	300	300	NUM
cjfa-8205	774	639	350	350	NUM
cjfa-8205	774	640	400	400	NUM
cjfa-8205	774	641	450	450	NUM
cjfa-8205	774	642	500	500	NUM
cjfa-8205	774	643	-0.5	-0.5	NUM
cjfa-8205	774	644	0	0	NUM
cjfa-8205	774	645	0.5	0.5	NUM
cjfa-8205	774	646	1	1	NUM
cjfa-8205	774	647	sample	sample	NOUN
cjfa-8205	774	648	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	649	function	function	NOUN
cjfa-8205	774	650	day	day	NOUN
cjfa-8205	774	651	sequence	sequence	NOUN
cjfa-8205	774	652	number	number	NOUN
cjfa-8205	774	653	0	0	NUM
cjfa-8205	774	654	100	100	NUM
cjfa-8205	774	655	200	200	NUM
cjfa-8205	774	656	300	300	NUM
cjfa-8205	774	657	400	400	NUM
cjfa-8205	774	658	500	500	NUM
cjfa-8205	774	659	600	600	NUM
cjfa-8205	774	660	700	700	NUM
cjfa-8205	774	661	800	800	NUM
cjfa-8205	774	662	900	900	NUM
cjfa-8205	774	663	1000	1000	NUM
cjfa-8205	774	664	0	0	NUM
cjfa-8205	774	665	0.5	0.5	NUM
cjfa-8205	774	666	1	1	NUM
cjfa-8205	774	667	atm	atm	NOUN
cjfa-8205	774	668	number	number	NOUN
cjfa-8205	774	669	3	3	NUM
cjfa-8205	774	670	cash	cash	NOUN
cjfa-8205	774	671	flow	flow	NOUN
cjfa-8205	774	672	lag	lag	NOUN
cjfa-8205	774	673	0	0	NUM
cjfa-8205	774	674	50	50	NUM
cjfa-8205	774	675	100	100	NUM
cjfa-8205	774	676	150	150	NUM
cjfa-8205	774	677	200	200	NUM
cjfa-8205	774	678	250	250	NUM
cjfa-8205	774	679	300	300	NUM
cjfa-8205	774	680	350	350	NUM
cjfa-8205	774	681	400	400	NUM
cjfa-8205	774	682	450	450	NUM
cjfa-8205	774	683	500	500	NUM
cjfa-8205	774	684	-0.5	-0.5	NUM
cjfa-8205	774	685	0	0	NUM
cjfa-8205	774	686	0.5	0.5	NUM
cjfa-8205	774	687	1	1	NUM
cjfa-8205	774	688	sample	sample	NOUN
cjfa-8205	774	689	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	690	function	function	NOUN
cjfa-8205	774	691	sequence	sequence	NOUN
cjfa-8205	774	692	number	number	NOUN
cjfa-8205	774	693	of	of	ADP
cjfa-8205	774	694	mean	mean	ADJ
cjfa-8205	774	695	-	-	PUNCT
cjfa-8205	774	696	sorted	sort	VERB
cjfa-8205	774	697	feature	feature	NOUN
cjfa-8205	774	698	set	set	VERB
cjfa-8205	774	699	0	0	NUM
cjfa-8205	774	700	10	10	NUM
cjfa-8205	774	701	20	20	NUM
cjfa-8205	774	702	30	30	NUM
cjfa-8205	774	703	40	40	NUM
cjfa-8205	774	704	50	50	NUM
cjfa-8205	774	705	60	60	NUM
cjfa-8205	774	706	70	70	NUM
cjfa-8205	774	707	65	65	NUM
cjfa-8205	774	708	70	70	NUM
cjfa-8205	774	709	75	75	NUM
cjfa-8205	774	710	80	80	NUM
cjfa-8205	774	711	85	85	NUM
cjfa-8205	774	712	90	90	NUM
cjfa-8205	774	713	95	95	NUM
cjfa-8205	774	714	100	100	NUM
cjfa-8205	774	715	105	105	NUM
cjfa-8205	774	716	atm	atm	ADJ
cjfa-8205	774	717	number	number	NOUN
cjfa-8205	774	718	3	3	NUM
cjfa-8205	774	719	forecasting	forecasting	NOUN
cjfa-8205	774	720	results	result	NOUN
cjfa-8205	774	721	2	2	NUM
cjfa-8205	774	722	year	year	NOUN
cjfa-8205	774	723	training	training	NOUN
cjfa-8205	774	724	1.5	1.5	NUM
cjfa-8205	774	725	year	year	NOUN
cjfa-8205	774	726	training	training	NOUN
cjfa-8205	774	727	1	1	NUM
cjfa-8205	774	728	year	year	NOUN
cjfa-8205	774	729	training	training	NOUN
cjfa-8205	774	730	0.5	0.5	NUM
cjfa-8205	774	731	year	year	NOUN
cjfa-8205	774	732	training	training	NOUN
cjfa-8205	774	733	day	day	NOUN
cjfa-8205	774	734	sequence	sequence	NOUN
cjfa-8205	774	735	number	number	NOUN
cjfa-8205	774	736	0	0	NUM
cjfa-8205	774	737	100	100	NUM
cjfa-8205	774	738	200	200	NUM
cjfa-8205	774	739	300	300	NUM
cjfa-8205	774	740	400	400	NUM
cjfa-8205	774	741	500	500	NUM
cjfa-8205	774	742	600	600	NUM
cjfa-8205	774	743	700	700	NUM
cjfa-8205	774	744	800	800	NUM
cjfa-8205	774	745	900	900	NUM
cjfa-8205	774	746	1000	1000	NUM
cjfa-8205	774	747	0	0	NUM
cjfa-8205	774	748	0.5	0.5	NUM
cjfa-8205	774	749	1	1	NUM
cjfa-8205	774	750	atm	atm	NOUN
cjfa-8205	774	751	number	number	NOUN
cjfa-8205	774	752	4	4	NUM
cjfa-8205	774	753	cash	cash	NOUN
cjfa-8205	774	754	flow	flow	NOUN
cjfa-8205	774	755	lag	lag	NOUN
cjfa-8205	774	756	0	0	NUM
cjfa-8205	774	757	50	50	NUM
cjfa-8205	774	758	100	100	NUM
cjfa-8205	774	759	150	150	NUM
cjfa-8205	774	760	200	200	NUM
cjfa-8205	774	761	250	250	NUM
cjfa-8205	774	762	300	300	NUM
cjfa-8205	774	763	350	350	NUM
cjfa-8205	774	764	400	400	NUM
cjfa-8205	774	765	450	450	NUM
cjfa-8205	774	766	500	500	NUM
cjfa-8205	774	767	-0.5	-0.5	NUM
cjfa-8205	774	768	0	0	NUM
cjfa-8205	774	769	0.5	0.5	NUM
cjfa-8205	774	770	1	1	NUM
cjfa-8205	774	771	sample	sample	NOUN
cjfa-8205	774	772	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	773	function	function	NOUN
cjfa-8205	774	774	sequence	sequence	NOUN
cjfa-8205	774	775	number	number	NOUN
cjfa-8205	774	776	of	of	ADP
cjfa-8205	774	777	mean	mean	ADJ
cjfa-8205	774	778	-	-	PUNCT
cjfa-8205	774	779	sorted	sort	VERB
cjfa-8205	774	780	feature	feature	NOUN
cjfa-8205	774	781	set	set	VERB
cjfa-8205	774	782	0	0	NUM
cjfa-8205	774	783	10	10	NUM
cjfa-8205	774	784	20	20	NUM
cjfa-8205	774	785	30	30	NUM
cjfa-8205	774	786	40	40	NUM
cjfa-8205	774	787	50	50	NUM
cjfa-8205	774	788	60	60	NUM
cjfa-8205	774	789	70	70	NUM
cjfa-8205	774	790	50	50	NUM
cjfa-8205	774	791	60	60	NUM
cjfa-8205	774	792	70	70	NUM
cjfa-8205	774	793	80	80	NUM
cjfa-8205	774	794	90	90	NUM
cjfa-8205	774	795	100	100	NUM
cjfa-8205	774	796	110	110	NUM
cjfa-8205	774	797	120	120	NUM
cjfa-8205	774	798	130	130	NUM
cjfa-8205	774	799	atm	atm	ADJ
cjfa-8205	774	800	number	number	NOUN
cjfa-8205	774	801	4	4	NUM
cjfa-8205	774	802	forecasting	forecasting	NOUN
cjfa-8205	774	803	results	result	NOUN
cjfa-8205	774	804	2	2	NUM
cjfa-8205	774	805	year	year	NOUN
cjfa-8205	774	806	training	training	NOUN
cjfa-8205	774	807	1.5	1.5	NUM
cjfa-8205	774	808	year	year	NOUN
cjfa-8205	774	809	training	training	NOUN
cjfa-8205	774	810	1	1	NUM
cjfa-8205	774	811	year	year	NOUN
cjfa-8205	774	812	training	training	NOUN
cjfa-8205	774	813	0.5	0.5	NUM
cjfa-8205	774	814	year	year	NOUN
cjfa-8205	774	815	training	training	NOUN
cjfa-8205	774	816	day	day	NOUN
cjfa-8205	774	817	sequence	sequence	NOUN
cjfa-8205	774	818	number	number	NOUN
cjfa-8205	774	819	0	0	NUM
cjfa-8205	774	820	100	100	NUM
cjfa-8205	774	821	200	200	NUM
cjfa-8205	774	822	300	300	NUM
cjfa-8205	774	823	400	400	NUM
cjfa-8205	774	824	500	500	NUM
cjfa-8205	774	825	600	600	NUM
cjfa-8205	774	826	700	700	NUM
cjfa-8205	774	827	800	800	NUM
cjfa-8205	774	828	900	900	NUM
cjfa-8205	774	829	1000	1000	NUM
cjfa-8205	774	830	0	0	NUM
cjfa-8205	774	831	0.5	0.5	NUM
cjfa-8205	774	832	1	1	NUM
cjfa-8205	774	833	atm	atm	NOUN
cjfa-8205	774	834	number	number	NOUN
cjfa-8205	774	835	5	5	NUM
cjfa-8205	774	836	cash	cash	NOUN
cjfa-8205	774	837	flow	flow	NOUN
cjfa-8205	774	838	lag	lag	NOUN
cjfa-8205	774	839	0	0	NUM
cjfa-8205	774	840	50	50	NUM
cjfa-8205	774	841	100	100	NUM
cjfa-8205	774	842	150	150	NUM
cjfa-8205	774	843	200	200	NUM
cjfa-8205	774	844	250	250	NUM
cjfa-8205	774	845	300	300	NUM
cjfa-8205	774	846	350	350	NUM
cjfa-8205	774	847	400	400	NUM
cjfa-8205	774	848	450	450	NUM
cjfa-8205	774	849	500	500	NUM
cjfa-8205	774	850	-0.5	-0.5	NUM
cjfa-8205	774	851	0	0	NUM
cjfa-8205	774	852	0.5	0.5	NUM
cjfa-8205	774	853	1	1	NUM
cjfa-8205	774	854	sample	sample	NOUN
cjfa-8205	774	855	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	856	function	function	NOUN
cjfa-8205	774	857	sequence	sequence	NOUN
cjfa-8205	774	858	number	number	NOUN
cjfa-8205	774	859	of	of	ADP
cjfa-8205	774	860	mean	mean	ADJ
cjfa-8205	774	861	-	-	PUNCT
cjfa-8205	774	862	sorted	sort	VERB
cjfa-8205	774	863	feature	feature	NOUN
cjfa-8205	774	864	set	set	VERB
cjfa-8205	774	865	0	0	NUM
cjfa-8205	774	866	10	10	NUM
cjfa-8205	774	867	20	20	NUM
cjfa-8205	774	868	30	30	NUM
cjfa-8205	774	869	40	40	NUM
cjfa-8205	774	870	50	50	NUM
cjfa-8205	774	871	60	60	NUM
cjfa-8205	774	872	70	70	NUM
cjfa-8205	774	873	70	70	NUM
cjfa-8205	774	874	80	80	NUM
cjfa-8205	774	875	90	90	NUM
cjfa-8205	774	876	100	100	NUM
cjfa-8205	774	877	110	110	NUM
cjfa-8205	774	878	120	120	NUM
cjfa-8205	774	879	130	130	NUM
cjfa-8205	774	880	140	140	NUM
cjfa-8205	774	881	150	150	NUM
cjfa-8205	774	882	160	160	NUM
cjfa-8205	774	883	170	170	NUM
cjfa-8205	774	884	atm	atm	NOUN
cjfa-8205	774	885	number	number	NOUN
cjfa-8205	774	886	5	5	NUM
cjfa-8205	774	887	forecasting	forecasting	NOUN
cjfa-8205	774	888	results	result	VERB
cjfa-8205	774	889	800	800	NUM
cjfa-8205	774	890	days	day	NOUN
cjfa-8205	774	891	training	train	VERB
cjfa-8205	774	892	400	400	NUM
cjfa-8205	774	893	days	day	NOUN
cjfa-8205	774	894	training	train	VERB
cjfa-8205	774	895	200	200	NUM
cjfa-8205	774	896	days	day	NOUN
cjfa-8205	774	897	training	train	VERB
cjfa-8205	774	898	100	100	NUM
cjfa-8205	774	899	days	day	NOUN
cjfa-8205	774	900	training	training	NOUN
cjfa-8205	774	901	sequence	sequence	NOUN
cjfa-8205	774	902	number	number	NOUN
cjfa-8205	774	903	of	of	ADP
cjfa-8205	774	904	mean	mean	ADJ
cjfa-8205	774	905	-	-	PUNCT
cjfa-8205	774	906	sorted	sort	VERB
cjfa-8205	774	907	feature	feature	NOUN
cjfa-8205	774	908	set	set	VERB
cjfa-8205	774	909	0	0	NUM
cjfa-8205	774	910	10	10	NUM
cjfa-8205	774	911	20	20	NUM
cjfa-8205	774	912	30	30	NUM
cjfa-8205	774	913	40	40	NUM
cjfa-8205	774	914	50	50	NUM
cjfa-8205	774	915	60	60	NUM
cjfa-8205	774	916	70	70	NUM
cjfa-8205	774	917	50	50	NUM
cjfa-8205	774	918	60	60	NUM
cjfa-8205	774	919	70	70	NUM
cjfa-8205	774	920	80	80	NUM
cjfa-8205	774	921	90	90	NUM
cjfa-8205	774	922	100	100	NUM
cjfa-8205	774	923	110	110	NUM
cjfa-8205	774	924	120	120	NUM
cjfa-8205	774	925	130	130	NUM
cjfa-8205	774	926	atm	atm	ADJ
cjfa-8205	774	927	number	number	NOUN
cjfa-8205	774	928	4	4	NUM
cjfa-8205	774	929	forecasting	forecasting	NOUN
cjfa-8205	774	930	results	result	NOUN
cjfa-8205	774	931	2	2	NUM
cjfa-8205	774	932	year	year	NOUN
cjfa-8205	774	933	training	training	NOUN
cjfa-8205	774	934	1.5	1.5	NUM
cjfa-8205	774	935	year	year	NOUN
cjfa-8205	774	936	training	training	NOUN
cjfa-8205	774	937	1	1	NUM
cjfa-8205	774	938	year	year	NOUN
cjfa-8205	774	939	training	training	NOUN
cjfa-8205	774	940	0.5	0.5	NUM
cjfa-8205	774	941	year	year	NOUN
cjfa-8205	774	942	training	training	NOUN
cjfa-8205	774	943	day	day	NOUN
cjfa-8205	774	944	sequence	sequence	NOUN
cjfa-8205	774	945	number	number	NOUN
cjfa-8205	774	946	0	0	NUM
cjfa-8205	774	947	100	100	NUM
cjfa-8205	774	948	200	200	NUM
cjfa-8205	774	949	300	300	NUM
cjfa-8205	774	950	400	400	NUM
cjfa-8205	774	951	500	500	NUM
cjfa-8205	774	952	600	600	NUM
cjfa-8205	774	953	700	700	NUM
cjfa-8205	774	954	800	800	NUM
cjfa-8205	774	955	900	900	NUM
cjfa-8205	774	956	1000	1000	NUM
cjfa-8205	774	957	0	0	NUM
cjfa-8205	774	958	0.5	0.5	NUM
cjfa-8205	774	959	1	1	NUM
cjfa-8205	774	960	atm	atm	NOUN
cjfa-8205	774	961	number	number	NOUN
cjfa-8205	774	962	5	5	NUM
cjfa-8205	774	963	cash	cash	NOUN
cjfa-8205	774	964	flow	flow	NOUN
cjfa-8205	774	965	lag	lag	NOUN
cjfa-8205	774	966	0	0	NUM
cjfa-8205	774	967	50	50	NUM
cjfa-8205	774	968	100	100	NUM
cjfa-8205	774	969	150	150	NUM
cjfa-8205	774	970	200	200	NUM
cjfa-8205	774	971	250	250	NUM
cjfa-8205	774	972	300	300	NUM
cjfa-8205	774	973	350	350	NUM
cjfa-8205	774	974	400	400	NUM
cjfa-8205	774	975	450	450	NUM
cjfa-8205	774	976	500	500	NUM
cjfa-8205	774	977	-0.5	-0.5	NUM
cjfa-8205	774	978	0	0	NUM
cjfa-8205	774	979	0.5	0.5	NUM
cjfa-8205	774	980	1	1	NUM
cjfa-8205	774	981	sample	sample	NOUN
cjfa-8205	774	982	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	983	function	function	NOUN
cjfa-8205	774	984	sequence	sequence	NOUN
cjfa-8205	774	985	number	number	NOUN
cjfa-8205	774	986	of	of	ADP
cjfa-8205	774	987	mean	mean	ADJ
cjfa-8205	774	988	-	-	PUNCT
cjfa-8205	774	989	sorted	sort	VERB
cjfa-8205	774	990	feature	feature	NOUN
cjfa-8205	774	991	set	set	VERB
cjfa-8205	774	992	0	0	NUM
cjfa-8205	774	993	10	10	NUM
cjfa-8205	774	994	20	20	NUM
cjfa-8205	774	995	30	30	NUM
cjfa-8205	774	996	40	40	NUM
cjfa-8205	774	997	50	50	NUM
cjfa-8205	774	998	60	60	NUM
cjfa-8205	774	999	70	70	NUM
cjfa-8205	774	1000	70	70	NUM
cjfa-8205	774	1001	80	80	NUM
cjfa-8205	774	1002	90	90	NUM
cjfa-8205	774	1003	100	100	NUM
cjfa-8205	774	1004	110	110	NUM
cjfa-8205	774	1005	120	120	NUM
cjfa-8205	774	1006	130	130	NUM
cjfa-8205	774	1007	140	140	NUM
cjfa-8205	774	1008	150	150	NUM
cjfa-8205	774	1009	160	160	NUM
cjfa-8205	774	1010	170	170	NUM
cjfa-8205	774	1011	atm	atm	NOUN
cjfa-8205	774	1012	number	number	NOUN
cjfa-8205	774	1013	5	5	NUM
cjfa-8205	774	1014	forecasting	forecasting	NOUN
cjfa-8205	774	1015	results	result	VERB
cjfa-8205	774	1016	800	800	NUM
cjfa-8205	774	1017	days	day	NOUN
cjfa-8205	774	1018	training	train	VERB
cjfa-8205	774	1019	400	400	NUM
cjfa-8205	774	1020	days	day	NOUN
cjfa-8205	774	1021	training	train	VERB
cjfa-8205	774	1022	200	200	NUM
cjfa-8205	774	1023	days	day	NOUN
cjfa-8205	774	1024	training	train	VERB
cjfa-8205	774	1025	100	100	NUM
cjfa-8205	774	1026	days	day	NOUN
cjfa-8205	774	1027	training	training	NOUN
cjfa-8205	774	1028	sequence	sequence	NOUN
cjfa-8205	774	1029	number	number	NOUN
cjfa-8205	774	1030	of	of	ADP
cjfa-8205	774	1031	mean	mean	ADJ
cjfa-8205	774	1032	-	-	PUNCT
cjfa-8205	774	1033	sorted	sort	VERB
cjfa-8205	774	1034	feature	feature	NOUN
cjfa-8205	774	1035	set	set	VERB
cjfa-8205	774	1036	0	0	NUM
cjfa-8205	774	1037	10	10	NUM
cjfa-8205	774	1038	20	20	NUM
cjfa-8205	774	1039	30	30	NUM
cjfa-8205	774	1040	40	40	NUM
cjfa-8205	774	1041	50	50	NUM
cjfa-8205	774	1042	60	60	NUM
cjfa-8205	774	1043	70	70	NUM
cjfa-8205	774	1044	50	50	NUM
cjfa-8205	774	1045	60	60	NUM
cjfa-8205	774	1046	70	70	NUM
cjfa-8205	774	1047	80	80	NUM
cjfa-8205	774	1048	90	90	NUM
cjfa-8205	774	1049	100	100	NUM
cjfa-8205	774	1050	110	110	NUM
cjfa-8205	774	1051	120	120	NUM
cjfa-8205	774	1052	130	130	NUM
cjfa-8205	774	1053	atm	atm	ADJ
cjfa-8205	774	1054	number	number	NOUN
cjfa-8205	774	1055	4	4	NUM
cjfa-8205	774	1056	forecasting	forecasting	NOUN
cjfa-8205	774	1057	results	result	NOUN
cjfa-8205	774	1058	2	2	NUM
cjfa-8205	774	1059	year	year	NOUN
cjfa-8205	774	1060	training	training	NOUN
cjfa-8205	774	1061	1.5	1.5	NUM
cjfa-8205	774	1062	year	year	NOUN
cjfa-8205	774	1063	training	training	NOUN
cjfa-8205	774	1064	1	1	NUM
cjfa-8205	774	1065	year	year	NOUN
cjfa-8205	774	1066	training	training	NOUN
cjfa-8205	774	1067	0.5	0.5	NUM
cjfa-8205	774	1068	year	year	NOUN
cjfa-8205	774	1069	training	training	NOUN
cjfa-8205	774	1070	day	day	NOUN
cjfa-8205	774	1071	sequence	sequence	NOUN
cjfa-8205	774	1072	number	number	NOUN
cjfa-8205	774	1073	0	0	NUM
cjfa-8205	774	1074	100	100	NUM
cjfa-8205	774	1075	200	200	NUM
cjfa-8205	774	1076	300	300	NUM
cjfa-8205	774	1077	400	400	NUM
cjfa-8205	774	1078	500	500	NUM
cjfa-8205	774	1079	600	600	NUM
cjfa-8205	774	1080	700	700	NUM
cjfa-8205	774	1081	800	800	NUM
cjfa-8205	774	1082	900	900	NUM
cjfa-8205	774	1083	1000	1000	NUM
cjfa-8205	774	1084	0	0	NUM
cjfa-8205	774	1085	0.5	0.5	NUM
cjfa-8205	774	1086	1	1	NUM
cjfa-8205	774	1087	atm	atm	NOUN
cjfa-8205	774	1088	number	number	NOUN
cjfa-8205	774	1089	5	5	NUM
cjfa-8205	774	1090	cash	cash	NOUN
cjfa-8205	774	1091	flow	flow	NOUN
cjfa-8205	774	1092	lag	lag	NOUN
cjfa-8205	774	1093	0	0	NUM
cjfa-8205	774	1094	50	50	NUM
cjfa-8205	774	1095	100	100	NUM
cjfa-8205	774	1096	150	150	NUM
cjfa-8205	774	1097	200	200	NUM
cjfa-8205	774	1098	250	250	NUM
cjfa-8205	774	1099	300	300	NUM
cjfa-8205	774	1100	350	350	NUM
cjfa-8205	774	1101	400	400	NUM
cjfa-8205	774	1102	450	450	NUM
cjfa-8205	774	1103	500	500	NUM
cjfa-8205	774	1104	-0.5	-0.5	NUM
cjfa-8205	774	1105	0	0	NUM
cjfa-8205	774	1106	0.5	0.5	NUM
cjfa-8205	774	1107	1	1	NUM
cjfa-8205	774	1108	sample	sample	NOUN
cjfa-8205	774	1109	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	1110	function	function	NOUN
cjfa-8205	774	1111	sequence	sequence	NOUN
cjfa-8205	774	1112	number	number	NOUN
cjfa-8205	774	1113	of	of	ADP
cjfa-8205	774	1114	mean	mean	ADJ
cjfa-8205	774	1115	-	-	PUNCT
cjfa-8205	774	1116	sorted	sort	VERB
cjfa-8205	774	1117	feature	feature	NOUN
cjfa-8205	774	1118	set	set	VERB
cjfa-8205	774	1119	0	0	NUM
cjfa-8205	774	1120	10	10	NUM
cjfa-8205	774	1121	20	20	NUM
cjfa-8205	774	1122	30	30	NUM
cjfa-8205	774	1123	40	40	NUM
cjfa-8205	774	1124	50	50	NUM
cjfa-8205	774	1125	60	60	NUM
cjfa-8205	774	1126	70	70	NUM
cjfa-8205	774	1127	70	70	NUM
cjfa-8205	774	1128	80	80	NUM
cjfa-8205	774	1129	90	90	NUM
cjfa-8205	774	1130	100	100	NUM
cjfa-8205	774	1131	110	110	NUM
cjfa-8205	774	1132	120	120	NUM
cjfa-8205	774	1133	130	130	NUM
cjfa-8205	774	1134	140	140	NUM
cjfa-8205	774	1135	150	150	NUM
cjfa-8205	774	1136	160	160	NUM
cjfa-8205	774	1137	170	170	NUM
cjfa-8205	774	1138	atm	atm	NOUN
cjfa-8205	774	1139	number	number	NOUN
cjfa-8205	774	1140	5	5	NUM
cjfa-8205	774	1141	forecasting	forecasting	NOUN
cjfa-8205	774	1142	results	result	VERB
cjfa-8205	774	1143	800	800	NUM
cjfa-8205	774	1144	days	day	NOUN
cjfa-8205	774	1145	training	train	VERB
cjfa-8205	774	1146	400	400	NUM
cjfa-8205	774	1147	days	day	NOUN
cjfa-8205	774	1148	training	train	VERB
cjfa-8205	774	1149	200	200	NUM
cjfa-8205	774	1150	days	day	NOUN
cjfa-8205	774	1151	training	train	VERB
cjfa-8205	774	1152	100	100	NUM
cjfa-8205	774	1153	days	day	NOUN
cjfa-8205	774	1154	training	training	NOUN
cjfa-8205	774	1155	day	day	NOUN
cjfa-8205	774	1156	sequence	sequence	NOUN
cjfa-8205	774	1157	number	number	NOUN
cjfa-8205	774	1158	0	0	NUM
cjfa-8205	774	1159	100	100	NUM
cjfa-8205	774	1160	200	200	NUM
cjfa-8205	774	1161	300	300	NUM
cjfa-8205	774	1162	400	400	NUM
cjfa-8205	774	1163	500	500	NUM
cjfa-8205	774	1164	600	600	NUM
cjfa-8205	774	1165	700	700	NUM
cjfa-8205	774	1166	800	800	NUM
cjfa-8205	774	1167	900	900	NUM
cjfa-8205	774	1168	1000	1000	NUM
cjfa-8205	774	1169	0	0	NUM
cjfa-8205	774	1170	0.5	0.5	NUM
cjfa-8205	774	1171	1	1	NUM
cjfa-8205	774	1172	atm	atm	NOUN
cjfa-8205	774	1173	number	number	NOUN
cjfa-8205	774	1174	6	6	NUM
cjfa-8205	774	1175	cash	cash	NOUN
cjfa-8205	774	1176	flow	flow	NOUN
cjfa-8205	774	1177	lag	lag	NOUN
cjfa-8205	774	1178	0	0	NUM
cjfa-8205	774	1179	50	50	NUM
cjfa-8205	774	1180	100	100	NUM
cjfa-8205	774	1181	150	150	NUM
cjfa-8205	774	1182	200	200	NUM
cjfa-8205	774	1183	250	250	NUM
cjfa-8205	774	1184	300	300	NUM
cjfa-8205	774	1185	350	350	NUM
cjfa-8205	774	1186	400	400	NUM
cjfa-8205	774	1187	450	450	NUM
cjfa-8205	774	1188	500	500	NUM
cjfa-8205	774	1189	-0.5	-0.5	NUM
cjfa-8205	774	1190	0	0	NUM
cjfa-8205	774	1191	0.5	0.5	NUM
cjfa-8205	774	1192	1	1	NUM
cjfa-8205	774	1193	sample	sample	NOUN
cjfa-8205	774	1194	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	1195	function	function	NOUN
cjfa-8205	774	1196	sequence	sequence	NOUN
cjfa-8205	774	1197	number	number	NOUN
cjfa-8205	774	1198	of	of	ADP
cjfa-8205	774	1199	mean	mean	ADJ
cjfa-8205	774	1200	-	-	PUNCT
cjfa-8205	774	1201	sorted	sort	VERB
cjfa-8205	774	1202	feature	feature	NOUN
cjfa-8205	774	1203	set	set	VERB
cjfa-8205	774	1204	0	0	NUM
cjfa-8205	774	1205	10	10	NUM
cjfa-8205	774	1206	20	20	NUM
cjfa-8205	774	1207	30	30	NUM
cjfa-8205	774	1208	40	40	NUM
cjfa-8205	774	1209	50	50	NUM
cjfa-8205	774	1210	60	60	NUM
cjfa-8205	774	1211	70	70	NUM
cjfa-8205	774	1212	35	35	NUM
cjfa-8205	774	1213	40	40	NUM
cjfa-8205	774	1214	45	45	NUM
cjfa-8205	774	1215	50	50	NUM
cjfa-8205	774	1216	55	55	NUM
cjfa-8205	774	1217	60	60	NUM
cjfa-8205	774	1218	65	65	NUM
cjfa-8205	774	1219	70	70	NUM
cjfa-8205	774	1220	75	75	NUM
cjfa-8205	774	1221	atm	atm	ADJ
cjfa-8205	774	1222	number	number	NOUN
cjfa-8205	774	1223	6	6	NUM
cjfa-8205	774	1224	forecasting	forecasting	NOUN
cjfa-8205	774	1225	results	result	VERB
cjfa-8205	774	1226	800	800	NUM
cjfa-8205	774	1227	days	day	NOUN
cjfa-8205	774	1228	training	train	VERB
cjfa-8205	774	1229	400	400	NUM
cjfa-8205	774	1230	days	day	NOUN
cjfa-8205	774	1231	training	train	VERB
cjfa-8205	774	1232	200	200	NUM
cjfa-8205	774	1233	days	day	NOUN
cjfa-8205	774	1234	training	train	VERB
cjfa-8205	774	1235	100	100	NUM
cjfa-8205	774	1236	days	day	NOUN
cjfa-8205	774	1237	training	training	NOUN
cjfa-8205	774	1238	day	day	NOUN
cjfa-8205	774	1239	sequence	sequence	NOUN
cjfa-8205	774	1240	number	number	NOUN
cjfa-8205	774	1241	0	0	NUM
cjfa-8205	774	1242	100	100	NUM
cjfa-8205	774	1243	200	200	NUM
cjfa-8205	774	1244	300	300	NUM
cjfa-8205	774	1245	400	400	NUM
cjfa-8205	774	1246	500	500	NUM
cjfa-8205	774	1247	600	600	NUM
cjfa-8205	774	1248	700	700	NUM
cjfa-8205	774	1249	800	800	NUM
cjfa-8205	774	1250	900	900	NUM
cjfa-8205	774	1251	1000	1000	NUM
cjfa-8205	774	1252	0	0	NUM
cjfa-8205	774	1253	0.5	0.5	NUM
cjfa-8205	774	1254	1	1	NUM
cjfa-8205	774	1255	atm	atm	NOUN
cjfa-8205	774	1256	number	number	NOUN
cjfa-8205	774	1257	7	7	NUM
cjfa-8205	774	1258	cash	cash	NOUN
cjfa-8205	774	1259	flow	flow	NOUN
cjfa-8205	774	1260	lag	lag	NOUN
cjfa-8205	774	1261	0	0	NUM
cjfa-8205	774	1262	50	50	NUM
cjfa-8205	774	1263	100	100	NUM
cjfa-8205	774	1264	150	150	NUM
cjfa-8205	774	1265	200	200	NUM
cjfa-8205	774	1266	250	250	NUM
cjfa-8205	774	1267	300	300	NUM
cjfa-8205	774	1268	350	350	NUM
cjfa-8205	774	1269	400	400	NUM
cjfa-8205	774	1270	450	450	NUM
cjfa-8205	774	1271	500	500	NUM
cjfa-8205	774	1272	-0.5	-0.5	NUM
cjfa-8205	774	1273	0	0	NUM
cjfa-8205	774	1274	0.5	0.5	NUM
cjfa-8205	774	1275	1	1	NUM
cjfa-8205	774	1276	sample	sample	NOUN
cjfa-8205	774	1277	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	1278	function	function	NOUN
cjfa-8205	774	1279	day	day	NOUN
cjfa-8205	774	1280	sequence	sequence	NOUN
cjfa-8205	774	1281	number	number	NOUN
cjfa-8205	774	1282	0	0	NUM
cjfa-8205	774	1283	100	100	NUM
cjfa-8205	774	1284	200	200	NUM
cjfa-8205	774	1285	300	300	NUM
cjfa-8205	774	1286	400	400	NUM
cjfa-8205	774	1287	500	500	NUM
cjfa-8205	774	1288	600	600	NUM
cjfa-8205	774	1289	700	700	NUM
cjfa-8205	774	1290	800	800	NUM
cjfa-8205	774	1291	900	900	NUM
cjfa-8205	774	1292	1000	1000	NUM
cjfa-8205	774	1293	0	0	NUM
cjfa-8205	774	1294	0.5	0.5	NUM
cjfa-8205	774	1295	1	1	NUM
cjfa-8205	774	1296	atm	atm	NOUN
cjfa-8205	774	1297	number	number	NOUN
cjfa-8205	774	1298	6	6	NUM
cjfa-8205	774	1299	cash	cash	NOUN
cjfa-8205	774	1300	flow	flow	NOUN
cjfa-8205	774	1301	lag	lag	NOUN
cjfa-8205	774	1302	0	0	NUM
cjfa-8205	774	1303	50	50	NUM
cjfa-8205	774	1304	100	100	NUM
cjfa-8205	774	1305	150	150	NUM
cjfa-8205	774	1306	200	200	NUM
cjfa-8205	774	1307	250	250	NUM
cjfa-8205	774	1308	300	300	NUM
cjfa-8205	774	1309	350	350	NUM
cjfa-8205	774	1310	400	400	NUM
cjfa-8205	774	1311	450	450	NUM
cjfa-8205	774	1312	500	500	NUM
cjfa-8205	774	1313	-0.5	-0.5	NUM
cjfa-8205	774	1314	0	0	NUM
cjfa-8205	774	1315	0.5	0.5	NUM
cjfa-8205	774	1316	1	1	NUM
cjfa-8205	774	1317	sample	sample	NOUN
cjfa-8205	774	1318	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	1319	function	function	NOUN
cjfa-8205	774	1320	sequence	sequence	NOUN
cjfa-8205	774	1321	number	number	NOUN
cjfa-8205	774	1322	of	of	ADP
cjfa-8205	774	1323	mean	mean	ADJ
cjfa-8205	774	1324	-	-	PUNCT
cjfa-8205	774	1325	sorted	sort	VERB
cjfa-8205	774	1326	feature	feature	NOUN
cjfa-8205	774	1327	set	set	VERB
cjfa-8205	774	1328	0	0	NUM
cjfa-8205	774	1329	10	10	NUM
cjfa-8205	774	1330	20	20	NUM
cjfa-8205	774	1331	30	30	NUM
cjfa-8205	774	1332	40	40	NUM
cjfa-8205	774	1333	50	50	NUM
cjfa-8205	774	1334	60	60	NUM
cjfa-8205	774	1335	70	70	NUM
cjfa-8205	774	1336	35	35	NUM
cjfa-8205	774	1337	40	40	NUM
cjfa-8205	774	1338	45	45	NUM
cjfa-8205	774	1339	50	50	NUM
cjfa-8205	774	1340	55	55	NUM
cjfa-8205	774	1341	60	60	NUM
cjfa-8205	774	1342	65	65	NUM
cjfa-8205	774	1343	70	70	NUM
cjfa-8205	774	1344	75	75	NUM
cjfa-8205	774	1345	atm	atm	ADJ
cjfa-8205	774	1346	number	number	NOUN
cjfa-8205	774	1347	6	6	NUM
cjfa-8205	774	1348	forecasting	forecasting	NOUN
cjfa-8205	774	1349	results	result	VERB
cjfa-8205	774	1350	800	800	NUM
cjfa-8205	774	1351	days	day	NOUN
cjfa-8205	774	1352	training	train	VERB
cjfa-8205	774	1353	400	400	NUM
cjfa-8205	774	1354	days	day	NOUN
cjfa-8205	774	1355	training	train	VERB
cjfa-8205	774	1356	200	200	NUM
cjfa-8205	774	1357	days	day	NOUN
cjfa-8205	774	1358	training	train	VERB
cjfa-8205	774	1359	100	100	NUM
cjfa-8205	774	1360	days	day	NOUN
cjfa-8205	774	1361	training	training	NOUN
cjfa-8205	774	1362	day	day	NOUN
cjfa-8205	774	1363	sequence	sequence	NOUN
cjfa-8205	774	1364	number	number	NOUN
cjfa-8205	774	1365	0	0	NUM
cjfa-8205	774	1366	100	100	NUM
cjfa-8205	774	1367	200	200	NUM
cjfa-8205	774	1368	300	300	NUM
cjfa-8205	774	1369	400	400	NUM
cjfa-8205	774	1370	500	500	NUM
cjfa-8205	774	1371	600	600	NUM
cjfa-8205	774	1372	700	700	NUM
cjfa-8205	774	1373	800	800	NUM
cjfa-8205	774	1374	900	900	NUM
cjfa-8205	774	1375	1000	1000	NUM
cjfa-8205	774	1376	0	0	NUM
cjfa-8205	774	1377	0.5	0.5	NUM
cjfa-8205	774	1378	1	1	NUM
cjfa-8205	774	1379	atm	atm	NOUN
cjfa-8205	774	1380	number	number	NOUN
cjfa-8205	774	1381	7	7	NUM
cjfa-8205	774	1382	cash	cash	NOUN
cjfa-8205	774	1383	flow	flow	NOUN
cjfa-8205	774	1384	lag	lag	NOUN
cjfa-8205	774	1385	0	0	NUM
cjfa-8205	774	1386	50	50	NUM
cjfa-8205	774	1387	100	100	NUM
cjfa-8205	774	1388	150	150	NUM
cjfa-8205	774	1389	200	200	NUM
cjfa-8205	774	1390	250	250	NUM
cjfa-8205	774	1391	300	300	NUM
cjfa-8205	774	1392	350	350	NUM
cjfa-8205	774	1393	400	400	NUM
cjfa-8205	774	1394	450	450	NUM
cjfa-8205	774	1395	500	500	NUM
cjfa-8205	774	1396	-0.5	-0.5	NUM
cjfa-8205	774	1397	0	0	NUM
cjfa-8205	774	1398	0.5	0.5	NUM
cjfa-8205	774	1399	1	1	NUM
cjfa-8205	774	1400	sample	sample	NOUN
cjfa-8205	774	1401	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	1402	function	function	NOUN
cjfa-8205	774	1403	day	day	NOUN
cjfa-8205	774	1404	sequence	sequence	NOUN
cjfa-8205	774	1405	number	number	NOUN
cjfa-8205	774	1406	0	0	NUM
cjfa-8205	774	1407	100	100	NUM
cjfa-8205	774	1408	200	200	NUM
cjfa-8205	774	1409	300	300	NUM
cjfa-8205	774	1410	400	400	NUM
cjfa-8205	774	1411	500	500	NUM
cjfa-8205	774	1412	600	600	NUM
cjfa-8205	774	1413	700	700	NUM
cjfa-8205	774	1414	800	800	NUM
cjfa-8205	774	1415	900	900	NUM
cjfa-8205	774	1416	1000	1000	NUM
cjfa-8205	774	1417	0	0	NUM
cjfa-8205	774	1418	0.5	0.5	NUM
cjfa-8205	774	1419	1	1	NUM
cjfa-8205	774	1420	atm	atm	NOUN
cjfa-8205	774	1421	number	number	NOUN
cjfa-8205	774	1422	6	6	NUM
cjfa-8205	774	1423	cash	cash	NOUN
cjfa-8205	774	1424	flow	flow	NOUN
cjfa-8205	774	1425	lag	lag	NOUN
cjfa-8205	774	1426	0	0	NUM
cjfa-8205	774	1427	50	50	NUM
cjfa-8205	774	1428	100	100	NUM
cjfa-8205	774	1429	150	150	NUM
cjfa-8205	774	1430	200	200	NUM
cjfa-8205	774	1431	250	250	NUM
cjfa-8205	774	1432	300	300	NUM
cjfa-8205	774	1433	350	350	NUM
cjfa-8205	774	1434	400	400	NUM
cjfa-8205	774	1435	450	450	NUM
cjfa-8205	774	1436	500	500	NUM
cjfa-8205	774	1437	-0.5	-0.5	NUM
cjfa-8205	774	1438	0	0	NUM
cjfa-8205	774	1439	0.5	0.5	NUM
cjfa-8205	774	1440	1	1	NUM
cjfa-8205	774	1441	sample	sample	NOUN
cjfa-8205	774	1442	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	1443	function	function	NOUN
cjfa-8205	774	1444	sequence	sequence	NOUN
cjfa-8205	774	1445	number	number	NOUN
cjfa-8205	774	1446	of	of	ADP
cjfa-8205	774	1447	mean	mean	ADJ
cjfa-8205	774	1448	-	-	PUNCT
cjfa-8205	774	1449	sorted	sort	VERB
cjfa-8205	774	1450	feature	feature	NOUN
cjfa-8205	774	1451	set	set	VERB
cjfa-8205	774	1452	0	0	NUM
cjfa-8205	774	1453	10	10	NUM
cjfa-8205	774	1454	20	20	NUM
cjfa-8205	774	1455	30	30	NUM
cjfa-8205	774	1456	40	40	NUM
cjfa-8205	774	1457	50	50	NUM
cjfa-8205	774	1458	60	60	NUM
cjfa-8205	774	1459	70	70	NUM
cjfa-8205	774	1460	35	35	NUM
cjfa-8205	774	1461	40	40	NUM
cjfa-8205	774	1462	45	45	NUM
cjfa-8205	774	1463	50	50	NUM
cjfa-8205	774	1464	55	55	NUM
cjfa-8205	774	1465	60	60	NUM
cjfa-8205	774	1466	65	65	NUM
cjfa-8205	774	1467	70	70	NUM
cjfa-8205	774	1468	75	75	NUM
cjfa-8205	774	1469	atm	atm	ADJ
cjfa-8205	774	1470	number	number	NOUN
cjfa-8205	774	1471	6	6	NUM
cjfa-8205	774	1472	forecasting	forecasting	NOUN
cjfa-8205	774	1473	results	result	VERB
cjfa-8205	774	1474	800	800	NUM
cjfa-8205	774	1475	days	day	NOUN
cjfa-8205	774	1476	training	train	VERB
cjfa-8205	774	1477	400	400	NUM
cjfa-8205	774	1478	days	day	NOUN
cjfa-8205	774	1479	training	train	VERB
cjfa-8205	774	1480	200	200	NUM
cjfa-8205	774	1481	days	day	NOUN
cjfa-8205	774	1482	training	train	VERB
cjfa-8205	774	1483	100	100	NUM
cjfa-8205	774	1484	days	day	NOUN
cjfa-8205	774	1485	training	training	NOUN
cjfa-8205	774	1486	day	day	NOUN
cjfa-8205	774	1487	sequence	sequence	NOUN
cjfa-8205	774	1488	number	number	NOUN
cjfa-8205	774	1489	0	0	NUM
cjfa-8205	774	1490	100	100	NUM
cjfa-8205	774	1491	200	200	NUM
cjfa-8205	774	1492	300	300	NUM
cjfa-8205	774	1493	400	400	NUM
cjfa-8205	774	1494	500	500	NUM
cjfa-8205	774	1495	600	600	NUM
cjfa-8205	774	1496	700	700	NUM
cjfa-8205	774	1497	800	800	NUM
cjfa-8205	774	1498	900	900	NUM
cjfa-8205	774	1499	1000	1000	NUM
cjfa-8205	774	1500	0	0	NUM
cjfa-8205	774	1501	0.5	0.5	NUM
cjfa-8205	774	1502	1	1	NUM
cjfa-8205	774	1503	atm	atm	NOUN
cjfa-8205	774	1504	number	number	NOUN
cjfa-8205	774	1505	7	7	NUM
cjfa-8205	774	1506	cash	cash	NOUN
cjfa-8205	774	1507	flow	flow	NOUN
cjfa-8205	774	1508	lag	lag	NOUN
cjfa-8205	774	1509	0	0	NUM
cjfa-8205	774	1510	50	50	NUM
cjfa-8205	774	1511	100	100	NUM
cjfa-8205	774	1512	150	150	NUM
cjfa-8205	774	1513	200	200	NUM
cjfa-8205	774	1514	250	250	NUM
cjfa-8205	774	1515	300	300	NUM
cjfa-8205	774	1516	350	350	NUM
cjfa-8205	774	1517	400	400	NUM
cjfa-8205	774	1518	450	450	NUM
cjfa-8205	774	1519	500	500	NUM
cjfa-8205	774	1520	-0.5	-0.5	NUM
cjfa-8205	774	1521	0	0	NUM
cjfa-8205	774	1522	0.5	0.5	NUM
cjfa-8205	774	1523	1	1	NUM
cjfa-8205	774	1524	sample	sample	NOUN
cjfa-8205	774	1525	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	1526	function	function	NOUN
cjfa-8205	774	1527	sequence	sequence	NOUN
cjfa-8205	774	1528	number	number	NOUN
cjfa-8205	774	1529	of	of	ADP
cjfa-8205	774	1530	mean	mean	ADJ
cjfa-8205	774	1531	-	-	PUNCT
cjfa-8205	774	1532	sorted	sort	VERB
cjfa-8205	774	1533	feature	feature	NOUN
cjfa-8205	774	1534	set	set	VERB
cjfa-8205	774	1535	0	0	NUM
cjfa-8205	774	1536	10	10	NUM
cjfa-8205	774	1537	20	20	NUM
cjfa-8205	774	1538	30	30	NUM
cjfa-8205	774	1539	40	40	NUM
cjfa-8205	774	1540	50	50	NUM
cjfa-8205	774	1541	60	60	NUM
cjfa-8205	774	1542	70	70	NUM
cjfa-8205	774	1543	50	50	NUM
cjfa-8205	774	1544	52	52	NUM
cjfa-8205	774	1545	54	54	NUM
cjfa-8205	774	1546	56	56	NUM
cjfa-8205	774	1547	58	58	NUM
cjfa-8205	774	1548	60	60	NUM
cjfa-8205	774	1549	62	62	NUM
cjfa-8205	774	1550	64	64	NUM
cjfa-8205	774	1551	66	66	NUM
cjfa-8205	774	1552	68	68	NUM
cjfa-8205	774	1553	70	70	NUM
cjfa-8205	774	1554	atm	atm	ADJ
cjfa-8205	774	1555	number	number	NOUN
cjfa-8205	774	1556	7	7	NUM
cjfa-8205	774	1557	forecasting	forecasting	NOUN
cjfa-8205	774	1558	results	result	NOUN
cjfa-8205	774	1559	2	2	NUM
cjfa-8205	774	1560	year	year	NOUN
cjfa-8205	774	1561	training	training	NOUN
cjfa-8205	774	1562	1.5	1.5	NUM
cjfa-8205	774	1563	year	year	NOUN
cjfa-8205	774	1564	training	training	NOUN
cjfa-8205	774	1565	1	1	NUM
cjfa-8205	774	1566	year	year	NOUN
cjfa-8205	774	1567	training	training	NOUN
cjfa-8205	774	1568	0.5	0.5	NUM
cjfa-8205	774	1569	year	year	NOUN
cjfa-8205	774	1570	training	training	NOUN
cjfa-8205	774	1571	day	day	NOUN
cjfa-8205	774	1572	sequence	sequence	NOUN
cjfa-8205	774	1573	number	number	NOUN
cjfa-8205	774	1574	0	0	NUM
cjfa-8205	774	1575	100	100	NUM
cjfa-8205	774	1576	200	200	NUM
cjfa-8205	774	1577	300	300	NUM
cjfa-8205	774	1578	400	400	NUM
cjfa-8205	774	1579	500	500	NUM
cjfa-8205	774	1580	600	600	NUM
cjfa-8205	774	1581	700	700	NUM
cjfa-8205	774	1582	800	800	NUM
cjfa-8205	774	1583	900	900	NUM
cjfa-8205	774	1584	1000	1000	NUM
cjfa-8205	774	1585	0	0	NUM
cjfa-8205	774	1586	0.5	0.5	NUM
cjfa-8205	774	1587	1	1	NUM
cjfa-8205	774	1588	atm	atm	NOUN
cjfa-8205	774	1589	number	number	NOUN
cjfa-8205	774	1590	8	8	NUM
cjfa-8205	774	1591	cash	cash	NOUN
cjfa-8205	774	1592	flow	flow	NOUN
cjfa-8205	774	1593	lag	lag	NOUN
cjfa-8205	774	1594	0	0	NUM
cjfa-8205	774	1595	50	50	NUM
cjfa-8205	774	1596	100	100	NUM
cjfa-8205	774	1597	150	150	NUM
cjfa-8205	774	1598	200	200	NUM
cjfa-8205	774	1599	250	250	NUM
cjfa-8205	774	1600	300	300	NUM
cjfa-8205	774	1601	350	350	NUM
cjfa-8205	774	1602	400	400	NUM
cjfa-8205	774	1603	450	450	NUM
cjfa-8205	774	1604	500	500	NUM
cjfa-8205	774	1605	-0.5	-0.5	NUM
cjfa-8205	774	1606	0	0	NUM
cjfa-8205	774	1607	0.5	0.5	NUM
cjfa-8205	774	1608	1	1	NUM
cjfa-8205	774	1609	sample	sample	NOUN
cjfa-8205	774	1610	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	1611	function	function	NOUN
cjfa-8205	774	1612	sequence	sequence	NOUN
cjfa-8205	774	1613	number	number	NOUN
cjfa-8205	774	1614	of	of	ADP
cjfa-8205	774	1615	mean	mean	ADJ
cjfa-8205	774	1616	-	-	PUNCT
cjfa-8205	774	1617	sorted	sort	VERB
cjfa-8205	774	1618	feature	feature	NOUN
cjfa-8205	774	1619	set	set	VERB
cjfa-8205	774	1620	0	0	NUM
cjfa-8205	774	1621	10	10	NUM
cjfa-8205	774	1622	20	20	NUM
cjfa-8205	774	1623	30	30	NUM
cjfa-8205	774	1624	40	40	NUM
cjfa-8205	774	1625	50	50	NUM
cjfa-8205	774	1626	60	60	NUM
cjfa-8205	774	1627	70	70	NUM
cjfa-8205	774	1628	40	40	NUM
cjfa-8205	774	1629	45	45	NUM
cjfa-8205	774	1630	50	50	NUM
cjfa-8205	774	1631	55	55	NUM
cjfa-8205	774	1632	60	60	NUM
cjfa-8205	774	1633	65	65	NUM
cjfa-8205	774	1634	atm	atm	ADJ
cjfa-8205	774	1635	number	number	NOUN
cjfa-8205	774	1636	8	8	NUM
cjfa-8205	774	1637	forecasting	forecasting	NOUN
cjfa-8205	774	1638	results	result	NOUN
cjfa-8205	774	1639	2	2	NUM
cjfa-8205	774	1640	year	year	NOUN
cjfa-8205	774	1641	training	training	NOUN
cjfa-8205	774	1642	1.5	1.5	NUM
cjfa-8205	774	1643	year	year	NOUN
cjfa-8205	774	1644	training	training	NOUN
cjfa-8205	774	1645	1	1	NUM
cjfa-8205	774	1646	year	year	NOUN
cjfa-8205	774	1647	training	training	NOUN
cjfa-8205	774	1648	0.5	0.5	NUM
cjfa-8205	774	1649	year	year	NOUN
cjfa-8205	774	1650	training	training	NOUN
cjfa-8205	774	1651	sequence	sequence	NOUN
cjfa-8205	774	1652	number	number	NOUN
cjfa-8205	774	1653	of	of	ADP
cjfa-8205	774	1654	mean	mean	ADJ
cjfa-8205	774	1655	-	-	PUNCT
cjfa-8205	774	1656	sorted	sort	VERB
cjfa-8205	774	1657	feature	feature	NOUN
cjfa-8205	774	1658	set	set	VERB
cjfa-8205	774	1659	0	0	NUM
cjfa-8205	774	1660	10	10	NUM
cjfa-8205	774	1661	20	20	NUM
cjfa-8205	774	1662	30	30	NUM
cjfa-8205	774	1663	40	40	NUM
cjfa-8205	774	1664	50	50	NUM
cjfa-8205	774	1665	60	60	NUM
cjfa-8205	774	1666	70	70	NUM
cjfa-8205	774	1667	50	50	NUM
cjfa-8205	774	1668	52	52	NUM
cjfa-8205	774	1669	54	54	NUM
cjfa-8205	774	1670	56	56	NUM
cjfa-8205	774	1671	58	58	NUM
cjfa-8205	774	1672	60	60	NUM
cjfa-8205	774	1673	62	62	NUM
cjfa-8205	774	1674	64	64	NUM
cjfa-8205	774	1675	66	66	NUM
cjfa-8205	774	1676	68	68	NUM
cjfa-8205	774	1677	70	70	NUM
cjfa-8205	774	1678	atm	atm	ADJ
cjfa-8205	774	1679	number	number	NOUN
cjfa-8205	774	1680	7	7	NUM
cjfa-8205	774	1681	forecasting	forecasting	NOUN
cjfa-8205	774	1682	results	result	NOUN
cjfa-8205	774	1683	2	2	NUM
cjfa-8205	774	1684	year	year	NOUN
cjfa-8205	774	1685	training	training	NOUN
cjfa-8205	774	1686	1.5	1.5	NUM
cjfa-8205	774	1687	year	year	NOUN
cjfa-8205	774	1688	training	training	NOUN
cjfa-8205	774	1689	1	1	NUM
cjfa-8205	774	1690	year	year	NOUN
cjfa-8205	774	1691	training	training	NOUN
cjfa-8205	774	1692	0.5	0.5	NUM
cjfa-8205	774	1693	year	year	NOUN
cjfa-8205	774	1694	training	training	NOUN
cjfa-8205	774	1695	day	day	NOUN
cjfa-8205	774	1696	sequence	sequence	NOUN
cjfa-8205	774	1697	number	number	NOUN
cjfa-8205	774	1698	0	0	NUM
cjfa-8205	774	1699	100	100	NUM
cjfa-8205	774	1700	200	200	NUM
cjfa-8205	774	1701	300	300	NUM
cjfa-8205	774	1702	400	400	NUM
cjfa-8205	774	1703	500	500	NUM
cjfa-8205	774	1704	600	600	NUM
cjfa-8205	774	1705	700	700	NUM
cjfa-8205	774	1706	800	800	NUM
cjfa-8205	774	1707	900	900	NUM
cjfa-8205	774	1708	1000	1000	NUM
cjfa-8205	774	1709	0	0	NUM
cjfa-8205	774	1710	0.5	0.5	NUM
cjfa-8205	774	1711	1	1	NUM
cjfa-8205	774	1712	atm	atm	NOUN
cjfa-8205	774	1713	number	number	NOUN
cjfa-8205	774	1714	8	8	NUM
cjfa-8205	774	1715	cash	cash	NOUN
cjfa-8205	774	1716	flow	flow	NOUN
cjfa-8205	774	1717	lag	lag	NOUN
cjfa-8205	774	1718	0	0	NUM
cjfa-8205	774	1719	50	50	NUM
cjfa-8205	774	1720	100	100	NUM
cjfa-8205	774	1721	150	150	NUM
cjfa-8205	774	1722	200	200	NUM
cjfa-8205	774	1723	250	250	NUM
cjfa-8205	774	1724	300	300	NUM
cjfa-8205	774	1725	350	350	NUM
cjfa-8205	774	1726	400	400	NUM
cjfa-8205	774	1727	450	450	NUM
cjfa-8205	774	1728	500	500	NUM
cjfa-8205	774	1729	-0.5	-0.5	NUM
cjfa-8205	774	1730	0	0	NUM
cjfa-8205	774	1731	0.5	0.5	NUM
cjfa-8205	774	1732	1	1	NUM
cjfa-8205	774	1733	sample	sample	NOUN
cjfa-8205	774	1734	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	1735	function	function	NOUN
cjfa-8205	774	1736	sequence	sequence	NOUN
cjfa-8205	774	1737	number	number	NOUN
cjfa-8205	774	1738	of	of	ADP
cjfa-8205	774	1739	mean	mean	ADJ
cjfa-8205	774	1740	-	-	PUNCT
cjfa-8205	774	1741	sorted	sort	VERB
cjfa-8205	774	1742	feature	feature	NOUN
cjfa-8205	774	1743	set	set	VERB
cjfa-8205	774	1744	0	0	NUM
cjfa-8205	774	1745	10	10	NUM
cjfa-8205	774	1746	20	20	NUM
cjfa-8205	774	1747	30	30	NUM
cjfa-8205	774	1748	40	40	NUM
cjfa-8205	774	1749	50	50	NUM
cjfa-8205	774	1750	60	60	NUM
cjfa-8205	774	1751	70	70	NUM
cjfa-8205	774	1752	40	40	NUM
cjfa-8205	774	1753	45	45	NUM
cjfa-8205	774	1754	50	50	NUM
cjfa-8205	774	1755	55	55	NUM
cjfa-8205	774	1756	60	60	NUM
cjfa-8205	774	1757	65	65	NUM
cjfa-8205	774	1758	atm	atm	ADJ
cjfa-8205	774	1759	number	number	NOUN
cjfa-8205	774	1760	8	8	NUM
cjfa-8205	774	1761	forecasting	forecasting	NOUN
cjfa-8205	774	1762	results	result	NOUN
cjfa-8205	774	1763	2	2	NUM
cjfa-8205	774	1764	year	year	NOUN
cjfa-8205	774	1765	training	training	NOUN
cjfa-8205	774	1766	1.5	1.5	NUM
cjfa-8205	774	1767	year	year	NOUN
cjfa-8205	774	1768	training	training	NOUN
cjfa-8205	774	1769	1	1	NUM
cjfa-8205	774	1770	year	year	NOUN
cjfa-8205	774	1771	training	training	NOUN
cjfa-8205	774	1772	0.5	0.5	NUM
cjfa-8205	774	1773	year	year	NOUN
cjfa-8205	774	1774	training	training	NOUN
cjfa-8205	774	1775	sequence	sequence	NOUN
cjfa-8205	774	1776	number	number	NOUN
cjfa-8205	774	1777	of	of	ADP
cjfa-8205	774	1778	mean	mean	ADJ
cjfa-8205	774	1779	-	-	PUNCT
cjfa-8205	774	1780	sorted	sort	VERB
cjfa-8205	774	1781	feature	feature	NOUN
cjfa-8205	774	1782	set	set	VERB
cjfa-8205	774	1783	0	0	NUM
cjfa-8205	774	1784	10	10	NUM
cjfa-8205	774	1785	20	20	NUM
cjfa-8205	774	1786	30	30	NUM
cjfa-8205	774	1787	40	40	NUM
cjfa-8205	774	1788	50	50	NUM
cjfa-8205	774	1789	60	60	NUM
cjfa-8205	774	1790	70	70	NUM
cjfa-8205	774	1791	50	50	NUM
cjfa-8205	774	1792	52	52	NUM
cjfa-8205	774	1793	54	54	NUM
cjfa-8205	774	1794	56	56	NUM
cjfa-8205	774	1795	58	58	NUM
cjfa-8205	774	1796	60	60	NUM
cjfa-8205	774	1797	62	62	NUM
cjfa-8205	774	1798	64	64	NUM
cjfa-8205	774	1799	66	66	NUM
cjfa-8205	774	1800	68	68	NUM
cjfa-8205	774	1801	70	70	NUM
cjfa-8205	774	1802	atm	atm	ADJ
cjfa-8205	774	1803	number	number	NOUN
cjfa-8205	774	1804	7	7	NUM
cjfa-8205	774	1805	forecasting	forecasting	NOUN
cjfa-8205	774	1806	results	result	NOUN
cjfa-8205	774	1807	2	2	NUM
cjfa-8205	774	1808	year	year	NOUN
cjfa-8205	774	1809	training	training	NOUN
cjfa-8205	774	1810	1.5	1.5	NUM
cjfa-8205	774	1811	year	year	NOUN
cjfa-8205	774	1812	training	training	NOUN
cjfa-8205	774	1813	1	1	NUM
cjfa-8205	774	1814	year	year	NOUN
cjfa-8205	774	1815	training	training	NOUN
cjfa-8205	774	1816	0.5	0.5	NUM
cjfa-8205	774	1817	year	year	NOUN
cjfa-8205	774	1818	training	training	NOUN
cjfa-8205	774	1819	day	day	NOUN
cjfa-8205	774	1820	sequence	sequence	NOUN
cjfa-8205	774	1821	number	number	NOUN
cjfa-8205	774	1822	0	0	NUM
cjfa-8205	774	1823	100	100	NUM
cjfa-8205	774	1824	200	200	NUM
cjfa-8205	774	1825	300	300	NUM
cjfa-8205	774	1826	400	400	NUM
cjfa-8205	774	1827	500	500	NUM
cjfa-8205	774	1828	600	600	NUM
cjfa-8205	774	1829	700	700	NUM
cjfa-8205	774	1830	800	800	NUM
cjfa-8205	774	1831	900	900	NUM
cjfa-8205	774	1832	1000	1000	NUM
cjfa-8205	774	1833	0	0	NUM
cjfa-8205	774	1834	0.5	0.5	NUM
cjfa-8205	774	1835	1	1	NUM
cjfa-8205	774	1836	atm	atm	NOUN
cjfa-8205	774	1837	number	number	NOUN
cjfa-8205	774	1838	8	8	NUM
cjfa-8205	774	1839	cash	cash	NOUN
cjfa-8205	774	1840	flow	flow	NOUN
cjfa-8205	774	1841	lag	lag	NOUN
cjfa-8205	774	1842	0	0	NUM
cjfa-8205	774	1843	50	50	NUM
cjfa-8205	774	1844	100	100	NUM
cjfa-8205	774	1845	150	150	NUM
cjfa-8205	774	1846	200	200	NUM
cjfa-8205	774	1847	250	250	NUM
cjfa-8205	774	1848	300	300	NUM
cjfa-8205	774	1849	350	350	NUM
cjfa-8205	774	1850	400	400	NUM
cjfa-8205	774	1851	450	450	NUM
cjfa-8205	774	1852	500	500	NUM
cjfa-8205	774	1853	-0.5	-0.5	NUM
cjfa-8205	774	1854	0	0	NUM
cjfa-8205	774	1855	0.5	0.5	NUM
cjfa-8205	774	1856	1	1	NUM
cjfa-8205	774	1857	sample	sample	NOUN
cjfa-8205	774	1858	autocorrelation	autocorrelation	NOUN
cjfa-8205	774	1859	function	function	NOUN
cjfa-8205	774	1860	sequence	sequence	NOUN
cjfa-8205	774	1861	number	number	NOUN
cjfa-8205	774	1862	of	of	ADP
cjfa-8205	774	1863	mean	mean	ADJ
cjfa-8205	774	1864	-	-	PUNCT
cjfa-8205	774	1865	sorted	sort	VERB
cjfa-8205	774	1866	feature	feature	NOUN
cjfa-8205	774	1867	set	set	VERB
cjfa-8205	774	1868	0	0	NUM
cjfa-8205	774	1869	10	10	NUM
cjfa-8205	774	1870	20	20	NUM
cjfa-8205	774	1871	30	30	NUM
cjfa-8205	774	1872	40	40	NUM
cjfa-8205	774	1873	50	50	NUM
cjfa-8205	774	1874	60	60	NUM
cjfa-8205	774	1875	70	70	NUM
cjfa-8205	774	1876	40	40	NUM
cjfa-8205	774	1877	45	45	NUM
cjfa-8205	774	1878	50	50	NUM
cjfa-8205	774	1879	55	55	NUM
cjfa-8205	774	1880	60	60	NUM
cjfa-8205	774	1881	65	65	NUM
cjfa-8205	774	1882	atm	atm	ADJ
cjfa-8205	774	1883	number	number	NOUN
cjfa-8205	774	1884	8	8	NUM
cjfa-8205	774	1885	forecasting	forecasting	NOUN
cjfa-8205	774	1886	results	result	NOUN
cjfa-8205	774	1887	2	2	NUM
cjfa-8205	774	1888	year	year	NOUN
cjfa-8205	774	1889	training	training	NOUN
cjfa-8205	774	1890	1.5	1.5	NUM
cjfa-8205	774	1891	year	year	NOUN
cjfa-8205	774	1892	training	training	NOUN
cjfa-8205	774	1893	1	1	NUM
cjfa-8205	774	1894	year	year	NOUN
cjfa-8205	774	1895	training	training	NOUN
cjfa-8205	774	1896	0.5	0.5	NUM
cjfa-8205	774	1897	year	year	NOUN
cjfa-8205	774	1898	training	training	NOUN