id	sid	tid	token	lemma	pos
iajs-2683	1	1	104	104	NUM
iajs-2683	1	2	cascade	cascade	NOUN
iajs-2683	1	3	-	-	PUNCT
iajs-2683	1	4	forward	forward	NOUN
iajs-2683	1	5	neural	neural	ADJ
iajs-2683	1	6	network	network	NOUN
iajs-2683	1	7	for	for	ADP
iajs-2683	1	8	volterra	volterra	NOUN
iajs-2683	1	9	integral	integral	ADJ
iajs-2683	1	10	equation	equation	NOUN
iajs-2683	1	11	solution	solution	NOUN
iajs-2683	1	12	shymaa	shymaa	VERB
iajs-2683	1	13	akram	akram	PROPN
iajs-2683	1	14	hantoush	hantoush	PROPN
iajs-2683	1	15	alrubaie	alrubaie	PROPN
iajs-2683	1	16	middle	middle	PROPN
iajs-2683	1	17	technical	technical	PROPN
iajs-2683	1	18	university	university	PROPN
iajs-2683	1	19	,	,	PUNCT
iajs-2683	1	20	continuous	continuous	ADJ
iajs-2683	1	21	education	education	NOUN
iajs-2683	1	22	centre	centre	NOUN
iajs-2683	1	23	,	,	PUNCT
iajs-2683	1	24	baghdad	baghdad	PROPN
iajs-2683	1	25	-	-	PUNCT
iajs-2683	1	26	iraq	iraq	PROPN
iajs-2683	1	27	shymmaakram35@mtu.edu.iq	shymmaakram35@mtu.edu.iq	PUNCT
iajs-2683	1	28	abstract	abstract	ADP
iajs-2683	1	29	the	the	DET
iajs-2683	1	30	method	method	NOUN
iajs-2683	1	31	of	of	ADP
iajs-2683	1	32	solving	solve	VERB
iajs-2683	1	33	volterra	volterra	NOUN
iajs-2683	1	34	integral	integral	ADJ
iajs-2683	1	35	equation	equation	NOUN
iajs-2683	1	36	by	by	ADP
iajs-2683	1	37	using	use	VERB
iajs-2683	1	38	numerical	numerical	ADJ
iajs-2683	1	39	solution	solution	NOUN
iajs-2683	1	40	is	be	AUX
iajs-2683	1	41	a	a	DET
iajs-2683	1	42	simple	simple	ADJ
iajs-2683	1	43	operation	operation	NOUN
iajs-2683	1	44	but	but	CCONJ
iajs-2683	1	45	to	to	PART
iajs-2683	1	46	require	require	VERB
iajs-2683	1	47	many	many	ADJ
iajs-2683	1	48	memory	memory	NOUN
iajs-2683	1	49	space	space	NOUN
iajs-2683	1	50	to	to	PART
iajs-2683	1	51	compute	compute	VERB
iajs-2683	1	52	and	and	CCONJ
iajs-2683	1	53	save	save	VERB
iajs-2683	1	54	the	the	DET
iajs-2683	1	55	operation	operation	NOUN
iajs-2683	1	56	.	.	PUNCT
iajs-2683	2	1	the	the	DET
iajs-2683	2	2	importance	importance	NOUN
iajs-2683	2	3	of	of	ADP
iajs-2683	2	4	this	this	DET
iajs-2683	2	5	equation	equation	NOUN
iajs-2683	2	6	appeares	appear	VERB
iajs-2683	2	7	new	new	ADJ
iajs-2683	2	8	direction	direction	NOUN
iajs-2683	2	9	to	to	PART
iajs-2683	2	10	solve	solve	VERB
iajs-2683	2	11	the	the	DET
iajs-2683	2	12	equation	equation	NOUN
iajs-2683	2	13	by	by	ADP
iajs-2683	2	14	using	use	VERB
iajs-2683	2	15	new	new	ADJ
iajs-2683	2	16	methods	method	NOUN
iajs-2683	2	17	to	to	PART
iajs-2683	2	18	avoid	avoid	VERB
iajs-2683	2	19	obstacles	obstacle	NOUN
iajs-2683	2	20	.	.	PUNCT
iajs-2683	3	1	one	one	NUM
iajs-2683	3	2	of	of	ADP
iajs-2683	3	3	these	these	DET
iajs-2683	3	4	methods	method	NOUN
iajs-2683	3	5	employ	employ	VERB
iajs-2683	3	6	neural	neural	ADJ
iajs-2683	3	7	network	network	NOUN
iajs-2683	3	8	for	for	ADP
iajs-2683	3	9	obtaining	obtain	VERB
iajs-2683	3	10	the	the	DET
iajs-2683	3	11	solution	solution	NOUN
iajs-2683	3	12	.	.	PUNCT
iajs-2683	4	1	this	this	DET
iajs-2683	4	2	paper	paper	NOUN
iajs-2683	4	3	presents	present	VERB
iajs-2683	4	4	a	a	DET
iajs-2683	4	5	proposed	propose	VERB
iajs-2683	4	6	method	method	NOUN
iajs-2683	4	7	by	by	ADP
iajs-2683	4	8	using	use	VERB
iajs-2683	4	9	cascade	cascade	NOUN
iajs-2683	4	10	-	-	PUNCT
iajs-2683	4	11	forward	forward	NOUN
iajs-2683	4	12	neural	neural	ADJ
iajs-2683	4	13	network	network	NOUN
iajs-2683	4	14	to	to	PART
iajs-2683	4	15	simulate	simulate	VERB
iajs-2683	4	16	volterra	volterra	NOUN
iajs-2683	4	17	integral	integral	ADJ
iajs-2683	4	18	equations	equation	NOUN
iajs-2683	4	19	solutions	solution	NOUN
iajs-2683	4	20	.	.	PUNCT
iajs-2683	5	1	this	this	DET
iajs-2683	5	2	method	method	NOUN
iajs-2683	5	3	depends	depend	VERB
iajs-2683	5	4	on	on	ADP
iajs-2683	5	5	training	train	VERB
iajs-2683	5	6	cascade	cascade	NOUN
iajs-2683	5	7	-	-	PUNCT
iajs-2683	5	8	forward	forward	NOUN
iajs-2683	5	9	neural	neural	ADJ
iajs-2683	5	10	network	network	NOUN
iajs-2683	5	11	by	by	ADP
iajs-2683	5	12	inputs	input	NOUN
iajs-2683	5	13	which	which	PRON
iajs-2683	5	14	represent	represent	VERB
iajs-2683	5	15	the	the	DET
iajs-2683	5	16	mean	mean	NOUN
iajs-2683	5	17	of	of	ADP
iajs-2683	5	18	volterra	volterra	PROPN
iajs-2683	5	19	integral	integral	ADJ
iajs-2683	5	20	equations	equation	NOUN
iajs-2683	5	21	solutions	solution	NOUN
iajs-2683	5	22	,	,	PUNCT
iajs-2683	5	23	the	the	DET
iajs-2683	5	24	target	target	NOUN
iajs-2683	5	25	of	of	ADP
iajs-2683	5	26	cascade	cascade	NOUN
iajs-2683	5	27	-	-	PUNCT
iajs-2683	5	28	forward	forward	NOUN
iajs-2683	5	29	neural	neural	ADJ
iajs-2683	5	30	network	network	NOUN
iajs-2683	5	31	is	be	AUX
iajs-2683	5	32	to	to	PART
iajs-2683	5	33	get	get	VERB
iajs-2683	5	34	the	the	DET
iajs-2683	5	35	desired	desire	VERB
iajs-2683	5	36	output	output	NOUN
iajs-2683	5	37	of	of	ADP
iajs-2683	5	38	this	this	DET
iajs-2683	5	39	network	network	NOUN
iajs-2683	5	40	.	.	PUNCT
iajs-2683	6	1	cascade	cascade	NOUN
iajs-2683	6	2	-	-	PUNCT
iajs-2683	6	3	forward	forward	NOUN
iajs-2683	6	4	neural	neural	ADJ
iajs-2683	6	5	network	network	NOUN
iajs-2683	6	6	is	be	AUX
iajs-2683	6	7	trained	train	VERB
iajs-2683	6	8	multi	multi	ADJ
iajs-2683	6	9	times	time	NOUN
iajs-2683	6	10	to	to	PART
iajs-2683	6	11	obtain	obtain	VERB
iajs-2683	6	12	the	the	DET
iajs-2683	6	13	desired	desire	VERB
iajs-2683	6	14	output	output	NOUN
iajs-2683	6	15	,	,	PUNCT
iajs-2683	6	16	the	the	DET
iajs-2683	6	17	training	training	NOUN
iajs-2683	6	18	of	of	ADP
iajs-2683	6	19	cascade	cascade	NOUN
iajs-2683	6	20	-	-	PUNCT
iajs-2683	6	21	forward	forward	NOUN
iajs-2683	6	22	neural	neural	ADJ
iajs-2683	6	23	network	network	NOUN
iajs-2683	6	24	model	model	NOUN
iajs-2683	6	25	terminal	terminal	PROPN
iajs-2683	6	26	when	when	SCONJ
iajs-2683	6	27	there	there	PRON
iajs-2683	6	28	is	be	VERB
iajs-2683	6	29	no	no	DET
iajs-2683	6	30	enhancement	enhancement	NOUN
iajs-2683	6	31	in	in	ADP
iajs-2683	6	32	result	result	NOUN
iajs-2683	6	33	.	.	PUNCT
iajs-2683	7	1	the	the	DET
iajs-2683	7	2	model	model	NOUN
iajs-2683	7	3	combines	combine	VERB
iajs-2683	7	4	all	all	DET
iajs-2683	7	5	training	training	NOUN
iajs-2683	7	6	cascade	cascade	NOUN
iajs-2683	7	7	-	-	PUNCT
iajs-2683	7	8	forward	forward	NOUN
iajs-2683	7	9	neural	neural	ADJ
iajs-2683	7	10	network	network	NOUN
iajs-2683	7	11	to	to	PART
iajs-2683	7	12	obtain	obtain	VERB
iajs-2683	7	13	the	the	DET
iajs-2683	7	14	best	good	ADJ
iajs-2683	7	15	result	result	NOUN
iajs-2683	7	16	.	.	PUNCT
iajs-2683	8	1	this	this	DET
iajs-2683	8	2	method	method	NOUN
iajs-2683	8	3	proved	prove	VERB
iajs-2683	8	4	its	its	PRON
iajs-2683	8	5	successful	successful	ADJ
iajs-2683	8	6	in	in	ADP
iajs-2683	8	7	training	training	NOUN
iajs-2683	8	8	and	and	CCONJ
iajs-2683	8	9	testing	testing	NOUN
iajs-2683	8	10	cascade	cascade	NOUN
iajs-2683	8	11	-	-	PUNCT
iajs-2683	8	12	forward	forward	NOUN
iajs-2683	8	13	neural	neural	ADJ
iajs-2683	8	14	network	network	NOUN
iajs-2683	8	15	for	for	ADP
iajs-2683	8	16	obtaining	obtain	VERB
iajs-2683	8	17	the	the	DET
iajs-2683	8	18	desired	desire	VERB
iajs-2683	8	19	output	output	NOUN
iajs-2683	8	20	of	of	ADP
iajs-2683	8	21	numerical	numerical	ADJ
iajs-2683	8	22	solution	solution	NOUN
iajs-2683	8	23	of	of	ADP
iajs-2683	8	24	volterra	volterra	PROPN
iajs-2683	8	25	integral	integral	ADJ
iajs-2683	8	26	equation	equation	NOUN
iajs-2683	8	27	for	for	ADP
iajs-2683	8	28	multi	multi	NOUN
iajs-2683	8	29	intervals	interval	NOUN
iajs-2683	8	30	.	.	PUNCT
iajs-2683	9	1	cascade	cascade	NOUN
iajs-2683	9	2	-	-	PUNCT
iajs-2683	9	3	forward	forward	NOUN
iajs-2683	9	4	neural	neural	ADJ
iajs-2683	9	5	network	network	NOUN
iajs-2683	9	6	model	model	NOUN
iajs-2683	9	7	measured	measure	VERB
iajs-2683	9	8	by	by	ADP
iajs-2683	9	9	calculating	calculate	VERB
iajs-2683	9	10	mse	mse	NOUN
iajs-2683	9	11	to	to	PART
iajs-2683	9	12	compute	compute	VERB
iajs-2683	9	13	the	the	DET
iajs-2683	9	14	degree	degree	NOUN
iajs-2683	9	15	of	of	ADP
iajs-2683	9	16	error	error	NOUN
iajs-2683	9	17	at	at	ADP
iajs-2683	9	18	each	each	DET
iajs-2683	9	19	training	training	NOUN
iajs-2683	9	20	time	time	NOUN
iajs-2683	9	21	.	.	PUNCT
iajs-2683	10	1	keywords	keyword	NOUN
iajs-2683	10	2	:	:	PUNCT
iajs-2683	10	3	volterra	volterra	PROPN
iajs-2683	10	4	integral	integral	ADJ
iajs-2683	10	5	equation	equation	NOUN
iajs-2683	10	6	(	(	PUNCT
iajs-2683	10	7	vie	vie	NOUN
iajs-2683	10	8	)	)	PUNCT
iajs-2683	10	9	,	,	PUNCT
iajs-2683	10	10	cascade	cascade	NOUN
iajs-2683	10	11	-	-	PUNCT
iajs-2683	10	12	forward	forward	NOUN
iajs-2683	10	13	neural	neural	ADJ
iajs-2683	10	14	network	network	NOUN
iajs-2683	10	15	(	(	PUNCT
iajs-2683	10	16	cfnn	cfnn	NOUN
iajs-2683	10	17	)	)	PUNCT
iajs-2683	10	18	,	,	PUNCT
iajs-2683	10	19	artificial	artificial	ADJ
iajs-2683	10	20	neural	neural	ADJ
iajs-2683	10	21	network	network	NOUN
iajs-2683	10	22	(	(	PUNCT
iajs-2683	10	23	ann	ann	PROPN
iajs-2683	10	24	)	)	PUNCT
iajs-2683	10	25	.	.	PUNCT
iajs-2683	11	1	1	1	X
iajs-2683	11	2	.	.	X
iajs-2683	11	3	introduction	introduction	NOUN
iajs-2683	11	4	volterra	volterra	PROPN
iajs-2683	11	5	integral	integral	ADJ
iajs-2683	11	6	equation	equation	NOUN
iajs-2683	11	7	(	(	PUNCT
iajs-2683	11	8	vie	vie	NOUN
iajs-2683	11	9	)	)	PUNCT
iajs-2683	11	10	represents	represent	VERB
iajs-2683	11	11	as	as	SCONJ
iajs-2683	11	12	a	a	DET
iajs-2683	11	13	special	special	ADJ
iajs-2683	11	14	state	state	NOUN
iajs-2683	11	15	in	in	ADP
iajs-2683	11	16	mathematics	mathematics	PROPN
iajs-2683	11	17	science	science	NOUN
iajs-2683	11	18	and	and	CCONJ
iajs-2683	11	19	various	various	ADJ
iajs-2683	11	20	methods	method	NOUN
iajs-2683	11	21	are	be	AUX
iajs-2683	11	22	introduced	introduce	VERB
iajs-2683	11	23	to	to	PART
iajs-2683	11	24	solve	solve	VERB
iajs-2683	11	25	it	it	PRON
iajs-2683	11	26	,	,	PUNCT
iajs-2683	11	27	base	base	NOUN
iajs-2683	11	28	of	of	ADP
iajs-2683	11	29	this	this	DET
iajs-2683	11	30	equation	equation	NOUN
iajs-2683	11	31	depends	depend	VERB
iajs-2683	11	32	on	on	ADP
iajs-2683	11	33	it	it	PRON
iajs-2683	11	34	a	a	DET
iajs-2683	11	35	model	model	NOUN
iajs-2683	11	36	of	of	ADP
iajs-2683	11	37	several	several	ADJ
iajs-2683	11	38	science	science	NOUN
iajs-2683	11	39	field	field	NOUN
iajs-2683	11	40	such	such	ADJ
iajs-2683	11	41	as	as	ADP
iajs-2683	11	42	in	in	ADP
iajs-2683	11	43	physics	physics	NOUN
iajs-2683	11	44	,	,	PUNCT
iajs-2683	11	45	engineering	engineering	NOUN
iajs-2683	11	46	,	,	PUNCT
iajs-2683	11	47	biology	biology	NOUN
iajs-2683	11	48	etc	etc	X
iajs-2683	11	49	.	.	X
iajs-2683	12	1	vie	vie	PROPN
iajs-2683	12	2	solved	solve	VERB
iajs-2683	12	3	by	by	ADP
iajs-2683	12	4	multi	multi	PROPN
iajs-2683	12	5	numerical	numerical	PROPN
iajs-2683	12	6	methods	method	NOUN
iajs-2683	12	7	which	which	PRON
iajs-2683	12	8	are	be	AUX
iajs-2683	12	9	based	base	VERB
iajs-2683	12	10	as	as	ADP
iajs-2683	12	11	a	a	DET
iajs-2683	12	12	linear	linear	ADJ
iajs-2683	12	13	or	or	CCONJ
iajs-2683	12	14	nonlinear	nonlinear	ADJ
iajs-2683	12	15	converting	convert	VERB
iajs-2683	12	16	system	system	NOUN
iajs-2683	12	17	of	of	ADP
iajs-2683	12	18	integral	integral	ADJ
iajs-2683	12	19	equation	equation	NOUN
iajs-2683	12	20	that	that	PRON
iajs-2683	12	21	have	have	VERB
iajs-2683	12	22	direct	direct	ADJ
iajs-2683	12	23	or	or	CCONJ
iajs-2683	12	24	iterative	iterative	NOUN
iajs-2683	12	25	methods	method	NOUN
iajs-2683	12	26	solutions	solution	NOUN
iajs-2683	12	27	.	.	PUNCT
iajs-2683	13	1	many	many	ADJ
iajs-2683	13	2	different	different	ADJ
iajs-2683	13	3	techniques	technique	NOUN
iajs-2683	13	4	have	have	AUX
iajs-2683	13	5	been	be	AUX
iajs-2683	13	6	presented	present	VERB
iajs-2683	13	7	to	to	PART
iajs-2683	13	8	solve	solve	VERB
iajs-2683	13	9	vies	vie	NOUN
iajs-2683	13	10	of	of	ADP
iajs-2683	13	11	the	the	DET
iajs-2683	13	12	second	second	ADJ
iajs-2683	13	13	kind	kind	NOUN
iajs-2683	13	14	by	by	ADP
iajs-2683	13	15	adopting	adopt	VERB
iajs-2683	13	16	the	the	DET
iajs-2683	13	17	linear	linear	ADJ
iajs-2683	13	18	property	property	NOUN
iajs-2683	13	19	of	of	ADP
iajs-2683	13	20	it	it	PRON
iajs-2683	13	21	.	.	PUNCT
iajs-2683	14	1	the	the	DET
iajs-2683	14	2	base	base	NOUN
iajs-2683	14	3	ibn	ibn	PROPN
iajs-2683	14	4	al	al	PROPN
iajs-2683	14	5	haitham	haitham	PROPN
iajs-2683	14	6	journal	journal	PROPN
iajs-2683	14	7	for	for	ADP
iajs-2683	14	8	pure	pure	ADJ
iajs-2683	14	9	and	and	CCONJ
iajs-2683	14	10	applied	apply	VERB
iajs-2683	14	11	science	science	NOUN
iajs-2683	14	12	journal	journal	PROPN
iajs-2683	14	13	homepage	homepage	NOUN
iajs-2683	14	14	:	:	PUNCT
iajs-2683	14	15	http://jih.uobaghdad.edu.iq/index.php/j/index	http://jih.uobaghdad.edu.iq/index.php/j/index	NOUN
iajs-2683	14	16	doi	doi	NOUN
iajs-2683	14	17	:	:	PUNCT
iajs-2683	14	18	10.30526/34.3.2683	10.30526/34.3.2683	PROPN
iajs-2683	14	19	article	article	NOUN
iajs-2683	14	20	history	history	NOUN
iajs-2683	14	21	:	:	PUNCT
iajs-2683	14	22	received	receive	VERB
iajs-2683	14	23	13	13	NUM
iajs-2683	14	24	december	december	PROPN
iajs-2683	14	25	2020	2020	NUM
iajs-2683	14	26	,	,	PUNCT
iajs-2683	14	27	accepted	accept	VERB
iajs-2683	14	28	31	31	NUM
iajs-2683	14	29	january	january	NOUN
iajs-2683	14	30	2021	2021	NUM
iajs-2683	14	31	,	,	PUNCT
iajs-2683	14	32	published	publish	VERB
iajs-2683	14	33	in	in	ADP
iajs-2683	14	34	2021	2021	NUM
iajs-2683	14	35	.	.	PUNCT
iajs-2683	15	1	mailto:shymmaakram35@mtu.edu.iq	mailto:shymmaakram35@mtu.edu.iq	PROPN
iajs-2683	15	2	ibn	ibn	PROPN
iajs-2683	15	3	al	al	PROPN
iajs-2683	15	4	-	-	PUNCT
iajs-2683	15	5	haitham	haitham	PROPN
iajs-2683	15	6	jour	jour	X
iajs-2683	15	7	.	.	PROPN
iajs-2683	16	1	for	for	ADP
iajs-2683	16	2	pure	pure	ADJ
iajs-2683	16	3	&	&	CCONJ
iajs-2683	16	4	appl	appl	PROPN
iajs-2683	16	5	.	.	PUNCT
iajs-2683	17	1	sci	sci	PROPN
iajs-2683	17	2	.	.	PROPN
iajs-2683	18	1	34(3)2021	34(3)2021	NUM
iajs-2683	18	2	105	105	NUM
iajs-2683	18	3	technique	technique	NOUN
iajs-2683	18	4	of	of	ADP
iajs-2683	18	5	integral	integral	ADJ
iajs-2683	18	6	equation	equation	NOUN
iajs-2683	18	7	field	field	NOUN
iajs-2683	18	8	depends	depend	VERB
iajs-2683	18	9	on	on	ADP
iajs-2683	18	10	numerical	numerical	ADJ
iajs-2683	18	11	quadrature	quadrature	NOUN
iajs-2683	18	12	rules	rule	NOUN
iajs-2683	18	13	,	,	PUNCT
iajs-2683	18	14	while	while	SCONJ
iajs-2683	18	15	the	the	DET
iajs-2683	18	16	trapezoidal	trapezoidal	ADJ
iajs-2683	18	17	rule	rule	NOUN
iajs-2683	18	18	is	be	AUX
iajs-2683	18	19	the	the	DET
iajs-2683	18	20	most	most	ADV
iajs-2683	18	21	popular	popular	ADJ
iajs-2683	18	22	technique	technique	NOUN
iajs-2683	18	23	to	to	PART
iajs-2683	18	24	solve	solve	VERB
iajs-2683	18	25	numerical	numerical	ADJ
iajs-2683	18	26	integration	integration	NOUN
iajs-2683	18	27	which	which	PRON
iajs-2683	18	28	gives	give	VERB
iajs-2683	18	29	authenticated	authenticate	VERB
iajs-2683	18	30	solutions	solution	NOUN
iajs-2683	18	31	[	[	X
iajs-2683	18	32	1	1	NUM
iajs-2683	18	33	]	]	PUNCT
iajs-2683	18	34	.	.	PUNCT
iajs-2683	19	1	the	the	DET
iajs-2683	19	2	development	development	NOUN
iajs-2683	19	3	in	in	ADP
iajs-2683	19	4	parallel	parallel	ADJ
iajs-2683	19	5	processing	processing	NOUN
iajs-2683	19	6	affect	affect	VERB
iajs-2683	19	7	all	all	DET
iajs-2683	19	8	fields	field	NOUN
iajs-2683	19	9	of	of	ADP
iajs-2683	19	10	knowledge	knowledge	NOUN
iajs-2683	19	11	,	,	PUNCT
iajs-2683	19	12	one	one	NUM
iajs-2683	19	13	of	of	ADP
iajs-2683	19	14	them	they	PRON
iajs-2683	19	15	is	be	AUX
iajs-2683	19	16	mathematics	mathematics	NOUN
iajs-2683	19	17	science	science	NOUN
iajs-2683	19	18	methods	method	NOUN
iajs-2683	19	19	,	,	PUNCT
iajs-2683	19	20	there	there	PRON
iajs-2683	19	21	are	be	VERB
iajs-2683	19	22	multi	multi	ADJ
iajs-2683	19	23	parallel	parallel	ADJ
iajs-2683	19	24	techniques	technique	NOUN
iajs-2683	19	25	employed	employ	VERB
iajs-2683	19	26	to	to	PART
iajs-2683	19	27	take	take	VERB
iajs-2683	19	28	the	the	DET
iajs-2683	19	29	typical	typical	ADJ
iajs-2683	19	30	solutions	solution	NOUN
iajs-2683	19	31	,	,	PUNCT
iajs-2683	19	32	examples	example	NOUN
iajs-2683	19	33	of	of	ADP
iajs-2683	19	34	these	these	PRON
iajs-2683	19	35	are	be	AUX
iajs-2683	19	36	:	:	PUNCT
iajs-2683	19	37	genetic	genetic	ADJ
iajs-2683	19	38	learning	learning	NOUN
iajs-2683	19	39	systems	system	NOUN
iajs-2683	19	40	,	,	PUNCT
iajs-2683	19	41	artificial	artificial	ADJ
iajs-2683	19	42	neural	neural	ADJ
iajs-2683	19	43	network	network	NOUN
iajs-2683	19	44	,	,	PUNCT
iajs-2683	19	45	simulated	simulate	VERB
iajs-2683	19	46	annealing	annealing	NOUN
iajs-2683	19	47	systems	system	NOUN
iajs-2683	19	48	,	,	PUNCT
iajs-2683	19	49	associative	associative	ADJ
iajs-2683	19	50	memories	memory	NOUN
iajs-2683	19	51	,	,	PUNCT
iajs-2683	19	52	and	and	CCONJ
iajs-2683	19	53	fuzzy	fuzzy	ADJ
iajs-2683	19	54	learning	learning	NOUN
iajs-2683	19	55	systems	system	NOUN
iajs-2683	19	56	[	[	X
iajs-2683	19	57	2	2	NUM
iajs-2683	19	58	]	]	PUNCT
iajs-2683	19	59	.	.	PUNCT
iajs-2683	20	1	the	the	DET
iajs-2683	20	2	recent	recent	ADJ
iajs-2683	20	3	papers	paper	NOUN
iajs-2683	20	4	that	that	PRON
iajs-2683	20	5	are	be	AUX
iajs-2683	20	6	interested	interested	ADJ
iajs-2683	20	7	of	of	ADP
iajs-2683	20	8	solving	solve	VERB
iajs-2683	20	9	the	the	DET
iajs-2683	20	10	integral	integral	ADJ
iajs-2683	20	11	equations	equation	NOUN
iajs-2683	20	12	have	have	AUX
iajs-2683	20	13	been	be	AUX
iajs-2683	20	14	employed	employ	VERB
iajs-2683	20	15	some	some	DET
iajs-2683	20	16	models	model	NOUN
iajs-2683	20	17	of	of	ADP
iajs-2683	20	18	artificial	artificial	ADJ
iajs-2683	20	19	neural	neural	ADJ
iajs-2683	20	20	network	network	NOUN
iajs-2683	20	21	(	(	PUNCT
iajs-2683	20	22	ann	ann	PROPN
iajs-2683	20	23	)	)	PUNCT
iajs-2683	20	24	to	to	PART
iajs-2683	20	25	take	take	VERB
iajs-2683	20	26	the	the	DET
iajs-2683	20	27	desired	desire	VERB
iajs-2683	20	28	solutions	solution	NOUN
iajs-2683	20	29	.	.	PUNCT
iajs-2683	21	1	the	the	DET
iajs-2683	21	2	comparison	comparison	NOUN
iajs-2683	21	3	between	between	ADP
iajs-2683	21	4	ann	ann	PROPN
iajs-2683	21	5	and	and	CCONJ
iajs-2683	21	6	numerical	numerical	ADJ
iajs-2683	21	7	methods	method	NOUN
iajs-2683	21	8	as	as	ADP
iajs-2683	21	9	techniques	technique	NOUN
iajs-2683	21	10	used	use	VERB
iajs-2683	21	11	to	to	PART
iajs-2683	21	12	solve	solve	VERB
iajs-2683	21	13	vie	vie	PROPN
iajs-2683	21	14	appears	appear	VERB
iajs-2683	21	15	many	many	ADJ
iajs-2683	21	16	features	feature	NOUN
iajs-2683	21	17	of	of	ADP
iajs-2683	21	18	ann	ann	PROPN
iajs-2683	21	19	,	,	PUNCT
iajs-2683	21	20	the	the	DET
iajs-2683	21	21	solution	solution	NOUN
iajs-2683	21	22	by	by	ADP
iajs-2683	21	23	ann	ann	PROPN
iajs-2683	21	24	models	model	NOUN
iajs-2683	21	25	is	be	AUX
iajs-2683	21	26	characterized	characterize	VERB
iajs-2683	21	27	as	as	ADP
iajs-2683	21	28	different	different	ADJ
iajs-2683	21	29	and	and	CCONJ
iajs-2683	21	30	continuous	continuous	ADJ
iajs-2683	21	31	[	[	X
iajs-2683	21	32	3	3	NUM
iajs-2683	21	33	]	]	PUNCT
iajs-2683	21	34	.	.	PUNCT
iajs-2683	22	1	the	the	DET
iajs-2683	22	2	structure	structure	NOUN
iajs-2683	22	3	of	of	ADP
iajs-2683	22	4	(	(	PUNCT
iajs-2683	22	5	ann	ann	PROPN
iajs-2683	22	6	)	)	PUNCT
iajs-2683	22	7	inspired	inspire	VERB
iajs-2683	22	8	from	from	ADP
iajs-2683	22	9	information	information	NOUN
iajs-2683	22	10	processing	processing	NOUN
iajs-2683	22	11	by	by	ADP
iajs-2683	22	12	getting	get	VERB
iajs-2683	22	13	the	the	DET
iajs-2683	22	14	form	form	NOUN
iajs-2683	22	15	of	of	ADP
iajs-2683	22	16	directed	direct	VERB
iajs-2683	22	17	-	-	PUNCT
iajs-2683	22	18	graph	graph	NOUN
iajs-2683	22	19	structures	structure	NOUN
iajs-2683	22	20	.	.	PUNCT
iajs-2683	23	1	simple	simple	ADJ
iajs-2683	23	2	mathematical	mathematical	ADJ
iajs-2683	23	3	operations	operation	NOUN
iajs-2683	23	4	managed	manage	VERB
iajs-2683	23	5	in	in	ADP
iajs-2683	23	6	nodes	node	NOUN
iajs-2683	23	7	to	to	PART
iajs-2683	23	8	be	be	AUX
iajs-2683	23	9	processed	process	VERB
iajs-2683	23	10	,	,	PUNCT
iajs-2683	23	11	while	while	SCONJ
iajs-2683	23	12	the	the	DET
iajs-2683	23	13	numerical	numerical	ADJ
iajs-2683	23	14	weights	weight	NOUN
iajs-2683	23	15	with	with	ADP
iajs-2683	23	16	the	the	DET
iajs-2683	23	17	links	link	NOUN
iajs-2683	23	18	between	between	ADP
iajs-2683	23	19	nodes	node	NOUN
iajs-2683	23	20	symbolized	symbolize	VERB
iajs-2683	23	21	to	to	PART
iajs-2683	23	22	be	be	AUX
iajs-2683	23	23	associated	associate	VERB
iajs-2683	23	24	within	within	ADP
iajs-2683	23	25	them	they	PRON
iajs-2683	23	26	to	to	PART
iajs-2683	23	27	create	create	VERB
iajs-2683	23	28	information	information	NOUN
iajs-2683	23	29	.	.	PUNCT
iajs-2683	24	1	the	the	DET
iajs-2683	24	2	nodes	node	NOUN
iajs-2683	24	3	in	in	ADP
iajs-2683	24	4	one	one	NUM
iajs-2683	24	5	layer	layer	NOUN
iajs-2683	24	6	connected	connect	VERB
iajs-2683	24	7	to	to	ADP
iajs-2683	24	8	nodes	node	NOUN
iajs-2683	24	9	in	in	ADP
iajs-2683	24	10	next	next	ADJ
iajs-2683	24	11	layer	layer	NOUN
iajs-2683	24	12	to	to	PART
iajs-2683	24	13	flow	flow	VERB
iajs-2683	24	14	the	the	DET
iajs-2683	24	15	information	information	NOUN
iajs-2683	24	16	through	through	ADP
iajs-2683	24	17	the	the	DET
iajs-2683	24	18	structure	structure	NOUN
iajs-2683	24	19	and	and	CCONJ
iajs-2683	24	20	patterned	pattern	VERB
iajs-2683	24	21	by	by	ADP
iajs-2683	24	22	using	use	VERB
iajs-2683	24	23	activated	activate	VERB
iajs-2683	24	24	function	function	NOUN
iajs-2683	24	25	to	to	PART
iajs-2683	24	26	get	get	VERB
iajs-2683	24	27	the	the	DET
iajs-2683	24	28	outputs	output	NOUN
iajs-2683	24	29	of	of	ADP
iajs-2683	24	30	nervous	nervous	ADJ
iajs-2683	24	31	systems	system	NOUN
iajs-2683	24	32	[	[	X
iajs-2683	24	33	2	2	NUM
iajs-2683	24	34	]	]	PUNCT
iajs-2683	24	35	.	.	PUNCT
iajs-2683	25	1	cascade	cascade	NOUN
iajs-2683	25	2	forward	forward	ADV
iajs-2683	25	3	neural	neural	ADJ
iajs-2683	25	4	network	network	NOUN
iajs-2683	25	5	(	(	PUNCT
iajs-2683	25	6	cfnn	cfnn	NOUN
iajs-2683	25	7	)	)	PUNCT
iajs-2683	25	8	is	be	AUX
iajs-2683	25	9	a	a	DET
iajs-2683	25	10	model	model	NOUN
iajs-2683	25	11	inspired	inspire	VERB
iajs-2683	25	12	from	from	ADP
iajs-2683	25	13	feed	feed	NOUN
iajs-2683	25	14	forward	forward	ADV
iajs-2683	25	15	neural	neural	ADJ
iajs-2683	25	16	network	network	NOUN
iajs-2683	25	17	(	(	PUNCT
iajs-2683	25	18	ffnn	ffnn	NOUN
iajs-2683	25	19	)	)	PUNCT
iajs-2683	25	20	model	model	NOUN
iajs-2683	25	21	.	.	PUNCT
iajs-2683	26	1	there	there	PRON
iajs-2683	26	2	is	be	VERB
iajs-2683	26	3	a	a	DET
iajs-2683	26	4	major	major	ADJ
iajs-2683	26	5	distinction	distinction	NOUN
iajs-2683	26	6	of	of	ADP
iajs-2683	26	7	cfnn	cfnn	NOUN
iajs-2683	26	8	from	from	ADP
iajs-2683	26	9	other	other	ADJ
iajs-2683	26	10	ffnn	ffnn	NOUN
iajs-2683	26	11	;	;	PUNCT
iajs-2683	26	12	cfnn	cfnn	NOUN
iajs-2683	26	13	contains	contain	VERB
iajs-2683	26	14	direct	direct	ADJ
iajs-2683	26	15	connection	connection	NOUN
iajs-2683	26	16	between	between	ADP
iajs-2683	26	17	the	the	DET
iajs-2683	26	18	input	input	NOUN
iajs-2683	26	19	layer	layer	NOUN
iajs-2683	26	20	and	and	CCONJ
iajs-2683	26	21	the	the	DET
iajs-2683	26	22	output	output	NOUN
iajs-2683	26	23	,	,	PUNCT
iajs-2683	26	24	in	in	ADP
iajs-2683	26	25	addition	addition	NOUN
iajs-2683	26	26	to	to	ADP
iajs-2683	26	27	the	the	DET
iajs-2683	26	28	indirect	indirect	ADJ
iajs-2683	26	29	connection	connection	NOUN
iajs-2683	26	30	through	through	ADP
iajs-2683	26	31	the	the	DET
iajs-2683	26	32	hidden	hide	VERB
iajs-2683	26	33	layer	layer	NOUN
iajs-2683	26	34	,	,	PUNCT
iajs-2683	26	35	which	which	PRON
iajs-2683	26	36	means	mean	VERB
iajs-2683	26	37	"	"	PUNCT
iajs-2683	26	38	in	in	ADP
iajs-2683	26	39	cfnn	cfnn	NOUN
iajs-2683	26	40	each	each	DET
iajs-2683	26	41	neuron	neuron	NOUN
iajs-2683	26	42	in	in	ADP
iajs-2683	26	43	the	the	DET
iajs-2683	26	44	input	input	NOUN
iajs-2683	26	45	layer	layer	NOUN
iajs-2683	26	46	is	be	AUX
iajs-2683	26	47	attached	attach	VERB
iajs-2683	26	48	to	to	ADP
iajs-2683	26	49	each	each	DET
iajs-2683	26	50	neuron	neuron	NOUN
iajs-2683	26	51	in	in	ADP
iajs-2683	26	52	the	the	DET
iajs-2683	26	53	hidden	hide	VERB
iajs-2683	26	54	layer	layer	NOUN
iajs-2683	26	55	and	and	CCONJ
iajs-2683	26	56	each	each	DET
iajs-2683	26	57	neuron	neuron	NOUN
iajs-2683	26	58	in	in	ADP
iajs-2683	26	59	the	the	DET
iajs-2683	26	60	output	output	NOUN
iajs-2683	26	61	layer	layer	NOUN
iajs-2683	26	62	"	"	PUNCT
iajs-2683	27	1	[	[	X
iajs-2683	27	2	3	3	NUM
iajs-2683	27	3	]	]	PUNCT
iajs-2683	27	4	.	.	PUNCT
iajs-2683	28	1	these	these	DET
iajs-2683	28	2	connections	connection	NOUN
iajs-2683	28	3	of	of	ADP
iajs-2683	28	4	cfnn	cfnn	NOUN
iajs-2683	28	5	are	be	AUX
iajs-2683	28	6	useful	useful	ADJ
iajs-2683	28	7	by	by	ADP
iajs-2683	28	8	its	its	PRON
iajs-2683	28	9	adapt	adapt	ADJ
iajs-2683	28	10	nonlinear	nonlinear	ADJ
iajs-2683	28	11	relationship	relationship	NOUN
iajs-2683	28	12	of	of	ADP
iajs-2683	28	13	input	input	NOUN
iajs-2683	28	14	and	and	CCONJ
iajs-2683	28	15	output	output	NOUN
iajs-2683	28	16	and	and	CCONJ
iajs-2683	28	17	not	not	PART
iajs-2683	28	18	eliminating	eliminate	VERB
iajs-2683	28	19	the	the	DET
iajs-2683	28	20	linear	linear	ADJ
iajs-2683	28	21	relationship	relationship	NOUN
iajs-2683	28	22	between	between	ADP
iajs-2683	28	23	them	they	PRON
iajs-2683	28	24	that	that	PRON
iajs-2683	28	25	depended	depend	VERB
iajs-2683	28	26	on	on	ADP
iajs-2683	28	27	the	the	DET
iajs-2683	28	28	background	background	NOUN
iajs-2683	28	29	,	,	PUNCT
iajs-2683	28	30	and	and	CCONJ
iajs-2683	28	31	this	this	DET
iajs-2683	28	32	feature	feature	NOUN
iajs-2683	28	33	is	be	AUX
iajs-2683	28	34	not	not	PART
iajs-2683	28	35	available	available	ADJ
iajs-2683	28	36	in	in	ADP
iajs-2683	28	37	ffnn	ffnn	NOUN
iajs-2683	28	38	that	that	PRON
iajs-2683	28	39	contains	contain	VERB
iajs-2683	28	40	only	only	ADV
iajs-2683	28	41	nonlinear	nonlinear	ADJ
iajs-2683	28	42	relationship	relationship	NOUN
iajs-2683	28	43	of	of	ADP
iajs-2683	28	44	input	input	NOUN
iajs-2683	28	45	and	and	CCONJ
iajs-2683	28	46	output	output	NOUN
iajs-2683	28	47	,	,	PUNCT
iajs-2683	28	48	by	by	ADP
iajs-2683	28	49	this	this	DET
iajs-2683	28	50	feature	feature	NOUN
iajs-2683	28	51	cfnn	cfnn	NOUN
iajs-2683	28	52	conforms	conform	VERB
iajs-2683	28	53	to	to	PART
iajs-2683	28	54	be	be	AUX
iajs-2683	28	55	suitable	suitable	ADJ
iajs-2683	28	56	to	to	PART
iajs-2683	28	57	solve	solve	VERB
iajs-2683	28	58	problems	problem	NOUN
iajs-2683	28	59	that	that	PRON
iajs-2683	28	60	requires	require	VERB
iajs-2683	28	61	to	to	PART
iajs-2683	28	62	build	build	VERB
iajs-2683	28	63	prediction	prediction	NOUN
iajs-2683	28	64	time	time	NOUN
iajs-2683	28	65	series	series	PROPN
iajs-2683	28	66	data	datum	NOUN
iajs-2683	28	67	that	that	PRON
iajs-2683	28	68	depends	depend	VERB
iajs-2683	28	69	on	on	ADP
iajs-2683	28	70	the	the	DET
iajs-2683	28	71	probable	probable	ADJ
iajs-2683	28	72	state	state	NOUN
iajs-2683	28	73	with	with	ADP
iajs-2683	28	74	a	a	DET
iajs-2683	28	75	high	high	ADJ
iajs-2683	28	76	level	level	NOUN
iajs-2683	28	77	of	of	ADP
iajs-2683	28	78	accuracy	accuracy	NOUN
iajs-2683	28	79	[	[	X
iajs-2683	28	80	4	4	NUM
iajs-2683	28	81	]	]	PUNCT
iajs-2683	28	82	.	.	PUNCT
iajs-2683	28	83	.	.	PUNCT
iajs-2683	29	1	in	in	ADP
iajs-2683	29	2	this	this	DET
iajs-2683	29	3	paper	paper	NOUN
iajs-2683	29	4	,	,	PUNCT
iajs-2683	29	5	cfnn	cfnn	PROPN
iajs-2683	29	6	model	model	NOUN
iajs-2683	29	7	focuses	focus	VERB
iajs-2683	29	8	on	on	ADP
iajs-2683	29	9	simulation	simulation	NOUN
iajs-2683	29	10	procedure	procedure	NOUN
iajs-2683	29	11	,	,	PUNCT
iajs-2683	29	12	it	it	PRON
iajs-2683	29	13	is	be	AUX
iajs-2683	29	14	used	use	VERB
iajs-2683	29	15	to	to	PART
iajs-2683	29	16	predict	predict	VERB
iajs-2683	29	17	the	the	DET
iajs-2683	29	18	time	time	NOUN
iajs-2683	29	19	series	series	PROPN
iajs-2683	29	20	data	datum	NOUN
iajs-2683	29	21	of	of	ADP
iajs-2683	29	22	vie	vie	PROPN
iajs-2683	29	23	from	from	ADP
iajs-2683	29	24	both	both	CCONJ
iajs-2683	29	25	the	the	DET
iajs-2683	29	26	generated	generate	VERB
iajs-2683	29	27	data	datum	NOUN
iajs-2683	29	28	and	and	CCONJ
iajs-2683	29	29	the	the	DET
iajs-2683	29	30	real	real	ADJ
iajs-2683	29	31	data	datum	NOUN
iajs-2683	29	32	.	.	PUNCT
iajs-2683	30	1	the	the	DET
iajs-2683	30	2	organization	organization	NOUN
iajs-2683	30	3	of	of	ADP
iajs-2683	30	4	this	this	DET
iajs-2683	30	5	paper	paper	NOUN
iajs-2683	30	6	contains	contain	VERB
iajs-2683	30	7	six	six	NUM
iajs-2683	30	8	component	component	NOUN
iajs-2683	30	9	:	:	PUNCT
iajs-2683	30	10	literature	literature	NOUN
iajs-2683	30	11	review	review	NOUN
iajs-2683	30	12	in	in	ADP
iajs-2683	30	13	section	section	NOUN
iajs-2683	30	14	2	2	NUM
iajs-2683	30	15	,	,	PUNCT
iajs-2683	30	16	theoretical	theoretical	ADJ
iajs-2683	30	17	in	in	ADP
iajs-2683	30	18	section	section	NOUN
iajs-2683	30	19	3	3	NUM
iajs-2683	30	20	&	&	CCONJ
iajs-2683	30	21	4	4	NUM
iajs-2683	30	22	,	,	PUNCT
iajs-2683	30	23	&	&	CCONJ
iajs-2683	30	24	methodology	methodology	NOUN
iajs-2683	30	25	,	,	PUNCT
iajs-2683	30	26	performance	performance	NOUN
iajs-2683	30	27	measure	measure	NOUN
iajs-2683	30	28	&	&	CCONJ
iajs-2683	30	29	experimental	experimental	ADJ
iajs-2683	30	30	results	result	NOUN
iajs-2683	30	31	in	in	ADP
iajs-2683	30	32	section	section	NOUN
iajs-2683	30	33	5	5	NUM
iajs-2683	30	34	,	,	PUNCT
iajs-2683	30	35	and	and	CCONJ
iajs-2683	30	36	conclusions	conclusion	NOUN
iajs-2683	30	37	in	in	ADP
iajs-2683	30	38	section	section	NOUN
iajs-2683	30	39	6	6	NUM
iajs-2683	30	40	.	.	NOUN
iajs-2683	30	41	2	2	NUM
iajs-2683	30	42	.	.	X
iajs-2683	30	43	literature	literature	NOUN
iajs-2683	30	44	review	review	VERB
iajs-2683	30	45	several	several	ADJ
iajs-2683	30	46	methods	method	NOUN
iajs-2683	30	47	were	be	AUX
iajs-2683	30	48	used	use	VERB
iajs-2683	30	49	to	to	PART
iajs-2683	30	50	solve	solve	VERB
iajs-2683	30	51	vie	vie	NOUN
iajs-2683	30	52	and	and	CCONJ
iajs-2683	30	53	extract	extract	VERB
iajs-2683	30	54	the	the	DET
iajs-2683	30	55	best	good	ADJ
iajs-2683	30	56	results	result	NOUN
iajs-2683	30	57	,	,	PUNCT
iajs-2683	30	58	where	where	SCONJ
iajs-2683	30	59	for	for	ADP
iajs-2683	30	60	each	each	DET
iajs-2683	30	61	method	method	NOUN
iajs-2683	30	62	features	feature	NOUN
iajs-2683	30	63	which	which	PRON
iajs-2683	30	64	differs	differ	VERB
iajs-2683	30	65	from	from	ADP
iajs-2683	30	66	the	the	DET
iajs-2683	30	67	rest	rest	NOUN
iajs-2683	30	68	of	of	ADP
iajs-2683	30	69	the	the	DET
iajs-2683	30	70	methods	method	NOUN
iajs-2683	30	71	but	but	CCONJ
iajs-2683	30	72	the	the	DET
iajs-2683	30	73	evolution	evolution	NOUN
iajs-2683	30	74	in	in	ADP
iajs-2683	30	75	the	the	DET
iajs-2683	30	76	use	use	NOUN
iajs-2683	30	77	of	of	ADP
iajs-2683	30	78	parallel	parallel	ADJ
iajs-2683	30	79	processors	processor	NOUN
iajs-2683	30	80	showed	show	VERB
iajs-2683	30	81	new	new	ADJ
iajs-2683	30	82	methods	method	NOUN
iajs-2683	30	83	to	to	PART
iajs-2683	30	84	solve	solve	VERB
iajs-2683	30	85	the	the	DET
iajs-2683	30	86	equation	equation	NOUN
iajs-2683	30	87	.	.	PUNCT
iajs-2683	31	1	tahmasbi	tahmasbi	NOUN
iajs-2683	32	1	[	[	X
iajs-2683	32	2	5	5	X
iajs-2683	32	3	]	]	PUNCT
iajs-2683	32	4	utilize	utilize	VERB
iajs-2683	32	5	the	the	DET
iajs-2683	32	6	power	power	NOUN
iajs-2683	32	7	series	series	NOUN
iajs-2683	32	8	method	method	NOUN
iajs-2683	32	9	to	to	PART
iajs-2683	32	10	solve	solve	VERB
iajs-2683	32	11	linear	linear	PROPN
iajs-2683	32	12	vie	vie	PROPN
iajs-2683	32	13	of	of	ADP
iajs-2683	32	14	the	the	DET
iajs-2683	32	15	second	second	ADJ
iajs-2683	32	16	kind	kind	NOUN
iajs-2683	32	17	,	,	PUNCT
iajs-2683	32	18	the	the	DET
iajs-2683	32	19	method	method	NOUN
iajs-2683	32	20	used	use	VERB
iajs-2683	32	21	the	the	DET
iajs-2683	32	22	exact	exact	ADJ
iajs-2683	32	23	solution	solution	NOUN
iajs-2683	32	24	of	of	ADP
iajs-2683	32	25	taylor	taylor	PROPN
iajs-2683	32	26	expansion	expansion	NOUN
iajs-2683	32	27	of	of	ADP
iajs-2683	32	28	the	the	DET
iajs-2683	32	29	integral	integral	ADJ
iajs-2683	32	30	equation	equation	NOUN
iajs-2683	32	31	computes	compute	VERB
iajs-2683	32	32	with	with	ADP
iajs-2683	32	33	approximate	approximate	ADJ
iajs-2683	32	34	solution	solution	NOUN
iajs-2683	32	35	acceptable	acceptable	ADJ
iajs-2683	32	36	,	,	PUNCT
iajs-2683	32	37	the	the	DET
iajs-2683	32	38	method	method	NOUN
iajs-2683	32	39	proved	prove	VERB
iajs-2683	32	40	its	its	PRON
iajs-2683	32	41	effectiveness	effectiveness	NOUN
iajs-2683	32	42	and	and	CCONJ
iajs-2683	32	43	appropriately	appropriately	ADV
iajs-2683	32	44	compared	compare	VERB
iajs-2683	32	45	with	with	ADP
iajs-2683	32	46	other	other	ADJ
iajs-2683	32	47	methods	method	NOUN
iajs-2683	32	48	.	.	PUNCT
iajs-2683	33	1	isaacson	isaacson	PROPN
iajs-2683	33	2	et	et	PROPN
iajs-2683	33	3	al	al	PROPN
iajs-2683	33	4	.	.	PUNCT
iajs-2683	34	1	[	[	X
iajs-2683	34	2	6	6	NUM
iajs-2683	34	3	]	]	X
iajs-2683	34	4	develop	develop	VERB
iajs-2683	34	5	collocation	collocation	NOUN
iajs-2683	34	6	methods	method	NOUN
iajs-2683	34	7	to	to	PART
iajs-2683	34	8	solve	solve	VERB
iajs-2683	34	9	linear	linear	ADJ
iajs-2683	34	10	,	,	PUNCT
iajs-2683	34	11	scalar	scalar	ADJ
iajs-2683	34	12	,	,	PUNCT
iajs-2683	34	13	vie	vie	NOUN
iajs-2683	34	14	of	of	ADP
iajs-2683	34	15	the	the	DET
iajs-2683	34	16	second	second	ADJ
iajs-2683	34	17	kind	kind	NOUN
iajs-2683	34	18	by	by	ADP
iajs-2683	34	19	employee	employee	NOUN
iajs-2683	34	20	partitioned	partition	VERB
iajs-2683	34	21	quadrature	quadrature	NOUN
iajs-2683	34	22	depending	depend	VERB
iajs-2683	34	23	on	on	ADP
iajs-2683	34	24	the	the	DET
iajs-2683	34	25	qualocation	qualocation	NOUN
iajs-2683	34	26	framework	framework	NOUN
iajs-2683	34	27	,	,	PUNCT
iajs-2683	34	28	with	with	SCONJ
iajs-2683	34	29	smooth	smooth	ADJ
iajs-2683	34	30	kernels	kernel	NOUN
iajs-2683	34	31	containing	contain	VERB
iajs-2683	34	32	sharp	sharp	ADJ
iajs-2683	34	33	gradients	gradient	NOUN
iajs-2683	34	34	and	and	CCONJ
iajs-2683	34	35	many	many	ADJ
iajs-2683	34	36	examples	example	NOUN
iajs-2683	34	37	were	be	AUX
iajs-2683	34	38	examined	examine	VERB
iajs-2683	34	39	,	,	PUNCT
iajs-2683	34	40	the	the	DET
iajs-2683	34	41	method	method	NOUN
iajs-2683	34	42	appears	appear	VERB
iajs-2683	34	43	the	the	DET
iajs-2683	34	44	efficient	efficient	ADJ
iajs-2683	34	45	of	of	ADP
iajs-2683	34	46	getting	get	VERB
iajs-2683	34	47	the	the	DET
iajs-2683	34	48	numerical	numerical	ADJ
iajs-2683	34	49	solution	solution	NOUN
iajs-2683	34	50	of	of	ADP
iajs-2683	34	51	equation	equation	NOUN
iajs-2683	34	52	.	.	PUNCT
iajs-2683	35	1	mirzaee	mirzaee	PROPN
iajs-2683	36	1	[	[	X
iajs-2683	36	2	7	7	X
iajs-2683	36	3	]	]	PUNCT
iajs-2683	36	4	presents	present	VERB
iajs-2683	36	5	the	the	DET
iajs-2683	36	6	adaptive	adaptive	PROPN
iajs-2683	36	7	simpson	simpson	PROPN
iajs-2683	36	8	’s	’s	PART
iajs-2683	36	9	quadrature	quadrature	NOUN
iajs-2683	36	10	method	method	NOUN
iajs-2683	36	11	for	for	ADP
iajs-2683	36	12	solving	solve	VERB
iajs-2683	36	13	linear	linear	PROPN
iajs-2683	36	14	vie	vie	PROPN
iajs-2683	36	15	of	of	ADP
iajs-2683	36	16	the	the	DET
iajs-2683	36	17	second	second	ADJ
iajs-2683	36	18	kind	kind	NOUN
iajs-2683	36	19	,	,	PUNCT
iajs-2683	36	20	its	its	PRON
iajs-2683	36	21	considered	consider	VERB
iajs-2683	36	22	as	as	ADP
iajs-2683	36	23	simple	simple	ADJ
iajs-2683	36	24	method	method	NOUN
iajs-2683	36	25	and	and	CCONJ
iajs-2683	36	26	has	have	AUX
iajs-2683	36	27	proved	prove	VERB
iajs-2683	36	28	its	its	PRON
iajs-2683	36	29	efficiency	efficiency	NOUN
iajs-2683	36	30	and	and	CCONJ
iajs-2683	36	31	accuracy	accuracy	NOUN
iajs-2683	36	32	in	in	ADP
iajs-2683	36	33	obtaining	obtain	VERB
iajs-2683	36	34	results	result	NOUN
iajs-2683	36	35	.	.	PUNCT
iajs-2683	37	1	rahman	rahman	PROPN
iajs-2683	37	2	et	et	PROPN
iajs-2683	37	3	ibn	ibn	PROPN
iajs-2683	37	4	al	al	PROPN
iajs-2683	37	5	-	-	PUNCT
iajs-2683	37	6	haitham	haitham	PROPN
iajs-2683	37	7	jour	jour	X
iajs-2683	37	8	.	.	PROPN
iajs-2683	37	9	for	for	ADP
iajs-2683	37	10	pure	pure	ADJ
iajs-2683	37	11	&	&	CCONJ
iajs-2683	37	12	appl	appl	PROPN
iajs-2683	37	13	.	.	PUNCT
iajs-2683	38	1	sci	sci	PROPN
iajs-2683	38	2	.	.	PROPN
iajs-2683	39	1	34(3)2021	34(3)2021	NUM
iajs-2683	39	2	106	106	NUM
iajs-2683	39	3	al	al	PROPN
iajs-2683	39	4	.	.	PUNCT
iajs-2683	40	1	[	[	X
iajs-2683	40	2	8	8	NUM
iajs-2683	40	3	]	]	PUNCT
iajs-2683	40	4	use	use	VERB
iajs-2683	40	5	the	the	DET
iajs-2683	40	6	galerkin	galerkin	NOUN
iajs-2683	40	7	weighted	weight	VERB
iajs-2683	40	8	residual	residual	ADJ
iajs-2683	40	9	method	method	NOUN
iajs-2683	40	10	to	to	PART
iajs-2683	40	11	solve	solve	VERB
iajs-2683	40	12	a	a	DET
iajs-2683	40	13	vie	vie	NOUN
iajs-2683	40	14	of	of	ADP
iajs-2683	40	15	first	first	ADJ
iajs-2683	40	16	and	and	CCONJ
iajs-2683	40	17	second	second	ADJ
iajs-2683	40	18	kind	kind	NOUN
iajs-2683	40	19	by	by	ADP
iajs-2683	40	20	using	use	VERB
iajs-2683	40	21	a	a	DET
iajs-2683	40	22	very	very	ADV
iajs-2683	40	23	few	few	ADJ
iajs-2683	40	24	“	"	PUNCT
iajs-2683	40	25	laguerre	laguerre	NOUN
iajs-2683	40	26	polynomial	polynomial	NOUN
iajs-2683	40	27	”	"	PUNCT
iajs-2683	40	28	,	,	PUNCT
iajs-2683	40	29	the	the	DET
iajs-2683	40	30	approximate	approximate	ADJ
iajs-2683	40	31	results	result	NOUN
iajs-2683	40	32	of	of	ADP
iajs-2683	40	33	tested	test	VERB
iajs-2683	40	34	examples	example	NOUN
iajs-2683	40	35	present	present	VERB
iajs-2683	40	36	the	the	DET
iajs-2683	40	37	convergence	convergence	NOUN
iajs-2683	40	38	from	from	ADP
iajs-2683	40	39	the	the	DET
iajs-2683	40	40	numerical	numerical	ADJ
iajs-2683	40	41	solutions	solution	NOUN
iajs-2683	40	42	.	.	PUNCT
iajs-2683	41	1	kolk	kolk	NOUN
iajs-2683	41	2	et	et	PROPN
iajs-2683	41	3	al	al	PROPN
iajs-2683	41	4	.	.	PUNCT
iajs-2683	42	1	[	[	X
iajs-2683	42	2	9	9	NUM
iajs-2683	42	3	]	]	PUNCT
iajs-2683	42	4	utilize	utilize	VERB
iajs-2683	42	5	suitable	suitable	ADJ
iajs-2683	42	6	smoothing	smoothing	NOUN
iajs-2683	42	7	methods	method	NOUN
iajs-2683	42	8	and	and	CCONJ
iajs-2683	42	9	polynomial	polynomial	ADJ
iajs-2683	42	10	splines	spline	NOUN
iajs-2683	42	11	on	on	ADP
iajs-2683	42	12	mildly	mildly	ADV
iajs-2683	42	13	graded	grade	VERB
iajs-2683	42	14	or	or	CCONJ
iajs-2683	42	15	uniform	uniform	ADJ
iajs-2683	42	16	grids	grid	NOUN
iajs-2683	42	17	to	to	PART
iajs-2683	42	18	solve	solve	VERB
iajs-2683	42	19	linear	linear	PROPN
iajs-2683	42	20	vie	vie	PROPN
iajs-2683	42	21	of	of	ADP
iajs-2683	42	22	the	the	DET
iajs-2683	42	23	second	second	ADJ
iajs-2683	42	24	kind	kind	NOUN
iajs-2683	42	25	,	,	PUNCT
iajs-2683	42	26	the	the	DET
iajs-2683	42	27	method	method	NOUN
iajs-2683	42	28	obtained	obtain	VERB
iajs-2683	42	29	the	the	DET
iajs-2683	42	30	appropriate	appropriate	ADJ
iajs-2683	42	31	numerical	numerical	ADJ
iajs-2683	42	32	results	result	NOUN
iajs-2683	42	33	.	.	PUNCT
iajs-2683	43	1	aigo	aigo	PROPN
iajs-2683	44	1	[	[	X
iajs-2683	44	2	1	1	X
iajs-2683	44	3	]	]	PUNCT
iajs-2683	44	4	applied	apply	VERB
iajs-2683	44	5	the	the	DET
iajs-2683	44	6	quadrature	quadrature	NOUN
iajs-2683	44	7	method	method	NOUN
iajs-2683	44	8	to	to	PART
iajs-2683	44	9	solve	solve	VERB
iajs-2683	44	10	linear	linear	ADJ
iajs-2683	44	11	integral	integral	ADJ
iajs-2683	44	12	equations	equation	NOUN
iajs-2683	44	13	of	of	ADP
iajs-2683	44	14	the	the	DET
iajs-2683	44	15	second	second	ADJ
iajs-2683	44	16	kind	kind	NOUN
iajs-2683	44	17	by	by	ADP
iajs-2683	44	18	utilizing	utilize	VERB
iajs-2683	44	19	simpson	simpson	PROPN
iajs-2683	44	20	's	's	PART
iajs-2683	44	21	and	and	CCONJ
iajs-2683	44	22	trapezoidal	trapezoidal	ADJ
iajs-2683	44	23	quadrature	quadrature	NOUN
iajs-2683	44	24	rule	rule	NOUN
iajs-2683	44	25	to	to	PART
iajs-2683	44	26	get	get	VERB
iajs-2683	44	27	accurate	accurate	ADJ
iajs-2683	44	28	solution	solution	NOUN
iajs-2683	44	29	,	,	PUNCT
iajs-2683	44	30	this	this	DET
iajs-2683	44	31	method	method	NOUN
iajs-2683	44	32	achieved	achieve	VERB
iajs-2683	44	33	a	a	DET
iajs-2683	44	34	good	good	ADJ
iajs-2683	44	35	degree	degree	NOUN
iajs-2683	44	36	of	of	ADP
iajs-2683	44	37	accuracy	accuracy	NOUN
iajs-2683	44	38	according	accord	VERB
iajs-2683	44	39	to	to	ADP
iajs-2683	44	40	obtained	obtain	VERB
iajs-2683	44	41	results	result	NOUN
iajs-2683	44	42	of	of	ADP
iajs-2683	44	43	the	the	DET
iajs-2683	44	44	illustrative	illustrative	ADJ
iajs-2683	44	45	examples	example	NOUN
iajs-2683	44	46	.	.	PUNCT
iajs-2683	45	1	costarelli	costarelli	PROPN
iajs-2683	45	2	et	et	PROPN
iajs-2683	45	3	al	al	PROPN
iajs-2683	45	4	.	.	PUNCT
iajs-2683	46	1	[	[	X
iajs-2683	46	2	10	10	NUM
iajs-2683	46	3	]	]	AUX
iajs-2683	46	4	develop	develop	VERB
iajs-2683	46	5	numerical	numerical	ADJ
iajs-2683	46	6	collocation	collocation	NOUN
iajs-2683	46	7	method	method	NOUN
iajs-2683	46	8	depending	depend	VERB
iajs-2683	46	9	on	on	ADP
iajs-2683	46	10	approximate	approximate	NOUN
iajs-2683	46	11	of	of	ADP
iajs-2683	46	12	the	the	DET
iajs-2683	46	13	exact	exact	ADJ
iajs-2683	46	14	solution	solution	NOUN
iajs-2683	46	15	of	of	ADP
iajs-2683	46	16	superposition	superposition	NOUN
iajs-2683	46	17	of	of	ADP
iajs-2683	46	18	sigmoidal	sigmoidal	NOUN
iajs-2683	46	19	functions	function	NOUN
iajs-2683	46	20	to	to	PART
iajs-2683	46	21	solve	solve	VERB
iajs-2683	46	22	linear	linear	ADJ
iajs-2683	46	23	and	and	CCONJ
iajs-2683	46	24	nonlinear	nonlinear	PROPN
iajs-2683	46	25	vie	vie	PROPN
iajs-2683	46	26	of	of	ADP
iajs-2683	46	27	the	the	DET
iajs-2683	46	28	second	second	ADJ
iajs-2683	46	29	kind	kind	NOUN
iajs-2683	46	30	,	,	PUNCT
iajs-2683	46	31	the	the	DET
iajs-2683	46	32	algorithm	algorithm	NOUN
iajs-2683	46	33	is	be	AUX
iajs-2683	46	34	characterized	characterize	VERB
iajs-2683	46	35	by	by	ADP
iajs-2683	46	36	low	low	ADJ
iajs-2683	46	37	cost	cost	NOUN
iajs-2683	46	38	that	that	SCONJ
iajs-2683	46	39	allowing	allow	VERB
iajs-2683	46	40	addition	addition	NOUN
iajs-2683	46	41	of	of	ADP
iajs-2683	46	42	more	more	ADJ
iajs-2683	46	43	number	number	NOUN
iajs-2683	46	44	of	of	ADP
iajs-2683	46	45	collocation	collocation	NOUN
iajs-2683	46	46	points	point	NOUN
iajs-2683	46	47	n	n	CCONJ
iajs-2683	46	48	,	,	PUNCT
iajs-2683	46	49	thereby	thereby	ADV
iajs-2683	46	50	this	this	DET
iajs-2683	46	51	method	method	NOUN
iajs-2683	46	52	increasing	increase	VERB
iajs-2683	46	53	the	the	DET
iajs-2683	46	54	accuracy	accuracy	NOUN
iajs-2683	46	55	of	of	ADP
iajs-2683	46	56	the	the	DET
iajs-2683	46	57	obtained	obtain	VERB
iajs-2683	46	58	results	result	NOUN
iajs-2683	46	59	.	.	PUNCT
iajs-2683	47	1	3	3	X
iajs-2683	47	2	.	.	X
iajs-2683	47	3	volterra	volterra	PROPN
iajs-2683	47	4	integral	integral	ADJ
iajs-2683	47	5	equation	equation	NOUN
iajs-2683	47	6	solution	solution	NOUN
iajs-2683	47	7	the	the	DET
iajs-2683	47	8	most	most	ADV
iajs-2683	47	9	standard	standard	ADJ
iajs-2683	47	10	form	form	NOUN
iajs-2683	47	11	of	of	ADP
iajs-2683	47	12	volterra	volterra	PROPN
iajs-2683	47	13	integral	integral	ADJ
iajs-2683	47	14	equation	equation	NOUN
iajs-2683	47	15	is	be	AUX
iajs-2683	47	16	given	give	VERB
iajs-2683	47	17	as	as	ADP
iajs-2683	47	18	in	in	ADP
iajs-2683	47	19	equation	equation	NOUN
iajs-2683	47	20	(	(	PUNCT
iajs-2683	47	21	1	1	NUM
iajs-2683	47	22	)	)	PUNCT
iajs-2683	47	23	𝑦(𝑡	𝑦(𝑡	PROPN
iajs-2683	47	24	)	)	PUNCT
iajs-2683	47	25	+	+	NUM
iajs-2683	47	26	∫	∫	PROPN
iajs-2683	47	27	𝐾(𝑡	𝐾(𝑡	NUM
iajs-2683	47	28	,	,	PUNCT
iajs-2683	47	29	𝑠	𝑠	NOUN
iajs-2683	47	30	)	)	PUNCT
iajs-2683	47	31	𝑦	𝑦	PROPN
iajs-2683	47	32	𝑡	𝑡	NOUN
iajs-2683	47	33	0	0	PUNCT
iajs-2683	47	34	(	(	PUNCT
iajs-2683	47	35	𝑠)𝑑𝑠	𝑠)𝑑𝑠	PROPN
iajs-2683	47	36	=	=	PUNCT
iajs-2683	47	37	𝑔(𝑡	𝑔(𝑡	PROPN
iajs-2683	47	38	)	)	PUNCT
iajs-2683	47	39	,	,	PUNCT
iajs-2683	47	40	𝑡	𝑡	PROPN
iajs-2683	47	41	∈	∈	PROPN
iajs-2683	48	1	[	[	X
iajs-2683	48	2	0	0	NUM
iajs-2683	48	3	,	,	PUNCT
iajs-2683	48	4	𝑇	𝑇	PROPN
iajs-2683	48	5	]	]	X
iajs-2683	48	6	(	(	PUNCT
iajs-2683	48	7	1	1	X
iajs-2683	48	8	)	)	PUNCT
iajs-2683	48	9	when	when	SCONJ
iajs-2683	48	10	assuming	assume	VERB
iajs-2683	48	11	that	that	SCONJ
iajs-2683	48	12	the	the	DET
iajs-2683	48	13	solution	solution	NOUN
iajs-2683	48	14	is	be	AUX
iajs-2683	48	15	required	require	VERB
iajs-2683	48	16	over	over	ADP
iajs-2683	48	17	a	a	DET
iajs-2683	48	18	finite	finite	ADJ
iajs-2683	48	19	interval	interval	NOUN
iajs-2683	48	20	[	[	X
iajs-2683	48	21	0	0	NUM
iajs-2683	48	22	,	,	PUNCT
iajs-2683	48	23	t	t	PROPN
iajs-2683	48	24	]	]	PUNCT
iajs-2683	48	25	that	that	SCONJ
iajs-2683	48	26	t	t	PROPN
iajs-2683	48	27	belongs	belong	VERB
iajs-2683	48	28	to	to	ADP
iajs-2683	48	29	this	this	DET
iajs-2683	48	30	interval	interval	NOUN
iajs-2683	48	31	with	with	ADP
iajs-2683	48	32	t	t	PROPN
iajs-2683	48	33	<	<	X
iajs-2683	48	34	∞	∞	PROPN
iajs-2683	48	35	,	,	PUNCT
iajs-2683	48	36	k(t	k(t	PROPN
iajs-2683	48	37	,	,	PUNCT
iajs-2683	48	38	s	s	PART
iajs-2683	48	39	)	)	PUNCT
iajs-2683	48	40	is	be	AUX
iajs-2683	48	41	continuous	continuous	ADJ
iajs-2683	48	42	in	in	ADP
iajs-2683	48	43	0	0	NUM
iajs-2683	48	44	≤	≤	NUM
iajs-2683	48	45	s	s	PART
iajs-2683	48	46	≤	≤	NUM
iajs-2683	48	47	t	t	PROPN
iajs-2683	48	48	≤	≤	PROPN
iajs-2683	48	49	t	t	PROPN
iajs-2683	48	50	,	,	PUNCT
iajs-2683	48	51	also	also	ADV
iajs-2683	48	52	g(t	g(t	PROPN
iajs-2683	48	53	)	)	PUNCT
iajs-2683	48	54	is	be	AUX
iajs-2683	48	55	continuous	continuous	ADJ
iajs-2683	48	56	finite	finite	NOUN
iajs-2683	48	57	(	(	PUNCT
iajs-2683	48	58	i	i	NOUN
iajs-2683	48	59	)	)	PUNCT
iajs-2683	48	60	.	.	PUNCT
iajs-2683	49	1	with	with	ADP
iajs-2683	49	2	these	these	DET
iajs-2683	49	3	assumptions	assumption	NOUN
iajs-2683	49	4	,	,	PUNCT
iajs-2683	49	5	the	the	DET
iajs-2683	49	6	solution	solution	NOUN
iajs-2683	49	7	y(t	y(t	NUM
iajs-2683	49	8	)	)	PUNCT
iajs-2683	49	9	to	to	ADP
iajs-2683	49	10	(	(	PUNCT
iajs-2683	49	11	1	1	X
iajs-2683	49	12	)	)	PUNCT
iajs-2683	49	13	exists	exist	VERB
iajs-2683	49	14	,	,	PUNCT
iajs-2683	49	15	is	be	AUX
iajs-2683	49	16	unique	unique	ADJ
iajs-2683	49	17	and	and	CCONJ
iajs-2683	49	18	y(t	y(t	NUM
iajs-2683	49	19	)	)	PUNCT
iajs-2683	49	20	is	be	AUX
iajs-2683	49	21	continuous	continuous	ADJ
iajs-2683	49	22	in	in	ADP
iajs-2683	49	23	[	[	X
iajs-2683	49	24	0,t	0,t	X
iajs-2683	49	25	]	]	X
iajs-2683	50	1	[	[	X
iajs-2683	50	2	6	6	NUM
iajs-2683	50	3	]	]	PUNCT
iajs-2683	50	4	.	.	PUNCT
iajs-2683	51	1	trapezoidal	trapezoidal	ADJ
iajs-2683	51	2	rule	rule	NOUN
iajs-2683	51	3	is	be	AUX
iajs-2683	51	4	a	a	DET
iajs-2683	51	5	distinguished	distinguished	ADJ
iajs-2683	51	6	case	case	NOUN
iajs-2683	51	7	of	of	ADP
iajs-2683	51	8	newton	newton	PROPN
iajs-2683	51	9	–	–	PUNCT
iajs-2683	51	10	cotes	cote	NOUN
iajs-2683	51	11	’	'	PUNCT
iajs-2683	51	12	formulas	formula	NOUN
iajs-2683	51	13	based	base	VERB
iajs-2683	51	14	on	on	ADP
iajs-2683	51	15	its	its	PRON
iajs-2683	51	16	formula	formula	NOUN
iajs-2683	51	17	that	that	PRON
iajs-2683	51	18	states	state	VERB
iajs-2683	51	19	.	.	PUNCT
iajs-2683	52	1	the	the	DET
iajs-2683	52	2	trapezoidal	trapezoidal	ADJ
iajs-2683	52	3	rule	rule	NOUN
iajs-2683	52	4	is	be	AUX
iajs-2683	52	5	considered	consider	VERB
iajs-2683	52	6	more	more	ADJ
iajs-2683	52	7	saving	saving	NOUN
iajs-2683	52	8	to	to	PART
iajs-2683	52	9	compute	compute	VERB
iajs-2683	52	10	a	a	DET
iajs-2683	52	11	sequence	sequence	NOUN
iajs-2683	52	12	of	of	ADP
iajs-2683	52	13	approximations	approximation	NOUN
iajs-2683	52	14	.	.	PUNCT
iajs-2683	53	1	vie	vie	NOUN
iajs-2683	53	2	solving	solve	VERB
iajs-2683	53	3	by	by	ADP
iajs-2683	53	4	the	the	DET
iajs-2683	53	5	trapezoidal	trapezoidal	ADJ
iajs-2683	53	6	approximation	approximation	NOUN
iajs-2683	53	7	by	by	ADP
iajs-2683	53	8	dividing	divide	VERB
iajs-2683	53	9	the	the	DET
iajs-2683	53	10	interval	interval	NOUN
iajs-2683	53	11	[	[	X
iajs-2683	53	12	a	a	X
iajs-2683	53	13	,	,	PUNCT
iajs-2683	53	14	b	b	NOUN
iajs-2683	53	15	]	]	PUNCT
iajs-2683	53	16	into	into	ADP
iajs-2683	53	17	equal	equal	ADJ
iajs-2683	53	18	subinterval	subinterval	NOUN
iajs-2683	53	19	,	,	PUNCT
iajs-2683	53	20	then	then	ADV
iajs-2683	53	21	the	the	DET
iajs-2683	53	22	trapezoidal	trapezoidal	ADJ
iajs-2683	53	23	rules	rule	NOUN
iajs-2683	53	24	will	will	AUX
iajs-2683	53	25	be	be	AUX
iajs-2683	53	26	applied	apply	VERB
iajs-2683	53	27	on	on	ADP
iajs-2683	53	28	equation(2	equation(2	PROPN
iajs-2683	53	29	):	):	PUNCT
iajs-2683	53	30	∫	∫	PROPN
iajs-2683	53	31	𝑓	𝑓	PROPN
iajs-2683	53	32	(	(	PUNCT
iajs-2683	53	33	𝑏	𝑏	PROPN
iajs-2683	53	34	𝑎	𝑎	PROPN
iajs-2683	53	35	x)dx	x)dx	NOUN
iajs-2683	53	36	=	=	SYM
iajs-2683	53	37	ℎ	ℎ	PROPN
iajs-2683	53	38	[	[	PUNCT
iajs-2683	53	39	𝑓(𝑎)+𝑓(𝑏	𝑓(𝑎)+𝑓(𝑏	PROPN
iajs-2683	53	40	)	)	PUNCT
iajs-2683	53	41	2	2	NUM
iajs-2683	54	1	+	+	CCONJ
iajs-2683	54	2	∑	∑	ADP
iajs-2683	54	3	f(𝑥𝑘	f(𝑥𝑘	ADJ
iajs-2683	54	4	)	)	PUNCT
iajs-2683	54	5	𝑛−1	𝑛−1	PROPN
iajs-2683	54	6	𝑘=2	𝑘=2	NOUN
iajs-2683	54	7	]	]	PUNCT
iajs-2683	54	8	(	(	PUNCT
iajs-2683	54	9	2	2	X
iajs-2683	54	10	)	)	PUNCT
iajs-2683	54	11	where	where	SCONJ
iajs-2683	54	12	h	h	NOUN
iajs-2683	54	13	represents	represent	VERB
iajs-2683	54	14	equal	equal	ADJ
iajs-2683	54	15	subinterval	subinterval	NOUN
iajs-2683	54	16	of	of	ADP
iajs-2683	54	17	[	[	X
iajs-2683	54	18	a	a	X
iajs-2683	54	19	,	,	PUNCT
iajs-2683	54	20	b	b	NOUN
iajs-2683	54	21	]	]	X
iajs-2683	54	22	,	,	PUNCT
iajs-2683	55	1	h	h	NOUN
iajs-2683	55	2	calculated	calculate	VERB
iajs-2683	55	3	by	by	ADP
iajs-2683	55	4	equation	equation	NOUN
iajs-2683	55	5	(	(	PUNCT
iajs-2683	55	6	h	h	NOUN
iajs-2683	55	7	=	=	SYM
iajs-2683	56	1	𝑏	𝑏	NOUN
iajs-2683	56	2	−	−	PROPN
iajs-2683	56	3	𝑎	𝑎	PROPN
iajs-2683	56	4	/𝑁	/𝑁	PUNCT
iajs-2683	56	5	)	)	PUNCT
iajs-2683	57	1	𝑁	𝑁	PROPN
iajs-2683	57	2	∈	∈	PROPN
iajs-2683	57	3	n∗	n∗	NOUN
iajs-2683	57	4	,	,	PUNCT
iajs-2683	57	5	while	while	SCONJ
iajs-2683	57	6	(	(	PUNCT
iajs-2683	57	7	xk	xk	NOUN
iajs-2683	57	8	=	=	PROPN
iajs-2683	57	9	a+	a+	PRON
iajs-2683	57	10	k−1	k−1	PROPN
iajs-2683	57	11	h	h	NOUN
iajs-2683	57	12	,	,	PUNCT
iajs-2683	57	13	1	1	NUM
iajs-2683	57	14	≤	≤	NUM
iajs-2683	57	15	k	k	X
iajs-2683	57	16	≤	≤	PROPN
iajs-2683	57	17	n+1	n+1	PROPN
iajs-2683	57	18	)	)	PUNCT
iajs-2683	57	19	.	.	PUNCT
iajs-2683	58	1	[	[	X
iajs-2683	58	2	1	1	NUM
iajs-2683	58	3	]	]	SYM
iajs-2683	58	4	4	4	NUM
iajs-2683	58	5	.	.	X
iajs-2683	58	6	cascade	cascade	NOUN
iajs-2683	58	7	-	-	PUNCT
iajs-2683	58	8	forward	forward	NOUN
iajs-2683	58	9	neural	neural	ADJ
iajs-2683	58	10	network	network	NOUN
iajs-2683	58	11	(	(	PUNCT
iajs-2683	58	12	cfnn	cfnn	NOUN
iajs-2683	58	13	)	)	PUNCT
iajs-2683	58	14	cfnn	cfnn	NOUN
iajs-2683	58	15	structure	structure	NOUN
iajs-2683	58	16	component	component	NOUN
iajs-2683	58	17	of	of	ADP
iajs-2683	58	18	input	input	NOUN
iajs-2683	58	19	,	,	PUNCT
iajs-2683	58	20	output	output	NOUN
iajs-2683	58	21	and	and	CCONJ
iajs-2683	58	22	one	one	NUM
iajs-2683	58	23	or	or	CCONJ
iajs-2683	58	24	more	more	ADV
iajs-2683	58	25	hidden	hidden	ADJ
iajs-2683	58	26	layers	layer	NOUN
iajs-2683	58	27	,	,	PUNCT
iajs-2683	58	28	there	there	PRON
iajs-2683	58	29	is	be	VERB
iajs-2683	58	30	a	a	DET
iajs-2683	58	31	connection	connection	NOUN
iajs-2683	58	32	from	from	ADP
iajs-2683	58	33	the	the	DET
iajs-2683	58	34	input	input	NOUN
iajs-2683	58	35	to	to	ADP
iajs-2683	58	36	each	each	DET
iajs-2683	58	37	layer	layer	NOUN
iajs-2683	58	38	in	in	ADP
iajs-2683	58	39	the	the	DET
iajs-2683	58	40	network	network	NOUN
iajs-2683	58	41	,	,	PUNCT
iajs-2683	58	42	and	and	CCONJ
iajs-2683	58	43	a	a	DET
iajs-2683	58	44	connection	connection	NOUN
iajs-2683	58	45	from	from	ADP
iajs-2683	58	46	each	each	DET
iajs-2683	58	47	layer	layer	NOUN
iajs-2683	58	48	to	to	ADP
iajs-2683	58	49	the	the	DET
iajs-2683	58	50	successive	successive	ADJ
iajs-2683	58	51	layers	layer	NOUN
iajs-2683	58	52	in	in	ADP
iajs-2683	58	53	the	the	DET
iajs-2683	58	54	network	network	NOUN
iajs-2683	58	55	as	as	SCONJ
iajs-2683	58	56	shown	show	VERB
iajs-2683	58	57	in	in	ADP
iajs-2683	58	58	figure	figure	NOUN
iajs-2683	58	59	(	(	PUNCT
iajs-2683	58	60	1	1	NUM
iajs-2683	58	61	)	)	PUNCT
iajs-2683	59	1	[	[	X
iajs-2683	59	2	11	11	NUM
iajs-2683	59	3	]	]	PUNCT
iajs-2683	59	4	.	.	PUNCT
iajs-2683	60	1	this	this	PRON
iajs-2683	60	2	allows	allow	VERB
iajs-2683	60	3	the	the	DET
iajs-2683	60	4	inputs	input	NOUN
iajs-2683	60	5	to	to	PART
iajs-2683	60	6	directly	directly	ADV
iajs-2683	60	7	,	,	PUNCT
iajs-2683	60	8	influence	influence	VERB
iajs-2683	60	9	the	the	DET
iajs-2683	60	10	output	output	NOUN
iajs-2683	60	11	nodes	node	NOUN
iajs-2683	60	12	by	by	ADP
iajs-2683	60	13	embedding	embed	VERB
iajs-2683	60	14	additional	additional	ADJ
iajs-2683	60	15	information	information	NOUN
iajs-2683	60	16	and	and	CCONJ
iajs-2683	60	17	features	feature	NOUN
iajs-2683	60	18	to	to	ADP
iajs-2683	60	19	it	it	PRON
iajs-2683	60	20	[	[	X
iajs-2683	60	21	12	12	NUM
iajs-2683	60	22	]	]	PUNCT
iajs-2683	60	23	.	.	PUNCT
iajs-2683	61	1	ibn	ibn	PROPN
iajs-2683	61	2	al	al	PROPN
iajs-2683	61	3	-	-	PUNCT
iajs-2683	61	4	haitham	haitham	PROPN
iajs-2683	61	5	jour	jour	X
iajs-2683	61	6	.	.	PROPN
iajs-2683	61	7	for	for	ADP
iajs-2683	61	8	pure	pure	ADJ
iajs-2683	61	9	&	&	CCONJ
iajs-2683	61	10	appl	appl	PROPN
iajs-2683	61	11	.	.	PUNCT
iajs-2683	62	1	sci	sci	PROPN
iajs-2683	62	2	.	.	PROPN
iajs-2683	63	1	34(3)2021	34(3)2021	NUM
iajs-2683	63	2	107	107	NUM
iajs-2683	63	3	figure	figure	NOUN
iajs-2683	63	4	1.structure	1.structure	NUM
iajs-2683	63	5	of	of	ADP
iajs-2683	63	6	cfnn	cfnn	NOUN
iajs-2683	63	7	cfnn	cfnn	NOUN
iajs-2683	63	8	are	be	AUX
iajs-2683	63	9	similar	similar	ADJ
iajs-2683	63	10	in	in	ADP
iajs-2683	63	11	structure	structure	NOUN
iajs-2683	63	12	to	to	ADP
iajs-2683	63	13	multilayer	multilayer	ADJ
iajs-2683	63	14	feedforward	feedforward	NOUN
iajs-2683	63	15	neural	neural	ADJ
iajs-2683	63	16	network	network	NOUN
iajs-2683	63	17	except	except	SCONJ
iajs-2683	63	18	cfnn	cfnn	NOUN
iajs-2683	63	19	which	which	PRON
iajs-2683	63	20	has	have	VERB
iajs-2683	63	21	a	a	DET
iajs-2683	63	22	direct	direct	ADJ
iajs-2683	63	23	weighted	weight	VERB
iajs-2683	63	24	connection	connection	NOUN
iajs-2683	63	25	from	from	ADP
iajs-2683	63	26	its	its	PRON
iajs-2683	63	27	input	input	NOUN
iajs-2683	63	28	to	to	ADP
iajs-2683	63	29	output	output	NOUN
iajs-2683	63	30	layer	layer	NOUN
iajs-2683	63	31	with	with	ADP
iajs-2683	63	32	two	two	NUM
iajs-2683	63	33	additional	additional	ADJ
iajs-2683	63	34	connections	connection	NOUN
iajs-2683	63	35	.	.	PUNCT
iajs-2683	64	1	cfnns	cfnn	NOUN
iajs-2683	64	2	with	with	ADP
iajs-2683	64	3	more	more	ADJ
iajs-2683	64	4	layers	layer	NOUN
iajs-2683	64	5	might	might	AUX
iajs-2683	64	6	learn	learn	VERB
iajs-2683	64	7	complex	complex	ADJ
iajs-2683	64	8	relationships	relationship	NOUN
iajs-2683	64	9	,	,	PUNCT
iajs-2683	64	10	while	while	SCONJ
iajs-2683	64	11	in	in	ADP
iajs-2683	64	12	ffnn	ffnn	NOUN
iajs-2683	64	13	the	the	DET
iajs-2683	64	14	connection	connection	NOUN
iajs-2683	64	15	formed	form	VERB
iajs-2683	64	16	between	between	ADP
iajs-2683	64	17	input	input	NOUN
iajs-2683	64	18	and	and	CCONJ
iajs-2683	64	19	output	output	NOUN
iajs-2683	64	20	is	be	AUX
iajs-2683	64	21	indirect	indirect	ADJ
iajs-2683	64	22	relationship	relationship	NOUN
iajs-2683	64	23	of	of	ADP
iajs-2683	64	24	sample	sample	NOUN
iajs-2683	64	25	relationships	relationship	NOUN
iajs-2683	64	26	.	.	PUNCT
iajs-2683	65	1	[	[	X
iajs-2683	65	2	11	11	NUM
iajs-2683	65	3	]	]	PUNCT
iajs-2683	65	4	cfnn	cfnn	NOUN
iajs-2683	65	5	model	model	NOUN
iajs-2683	65	6	equation	equation	NOUN
iajs-2683	65	7	can	can	AUX
iajs-2683	65	8	be	be	AUX
iajs-2683	65	9	formed	form	VERB
iajs-2683	65	10	as	as	ADP
iajs-2683	65	11	equation	equation	NOUN
iajs-2683	65	12	(	(	PUNCT
iajs-2683	65	13	3	3	NUM
iajs-2683	65	14	):	):	PUNCT
iajs-2683	65	15	𝑦	𝑦	NOUN
iajs-2683	65	16	=	=	SYM
iajs-2683	65	17	∑	∑	PUNCT
iajs-2683	65	18	𝐴𝑖𝑤𝑖	𝐴𝑖𝑤𝑖	PROPN
iajs-2683	65	19	𝑖𝑥𝑖	𝑖𝑥𝑖	ADJ
iajs-2683	65	20	+	+	CCONJ
iajs-2683	65	21	𝐴𝑜(∑	𝐴𝑜(∑	PROPN
iajs-2683	65	22	𝑤𝑗	𝑤𝑗	PROPN
iajs-2683	65	23	𝑜𝐴𝑗	𝑜𝐴𝑗	PROPN
iajs-2683	65	24	ℎ(∑	ℎ(∑	PROPN
iajs-2683	65	25	𝑤𝑗𝑖	𝑤𝑗𝑖	PROPN
iajs-2683	65	26	ℎ𝑛	ℎ𝑛	PROPN
iajs-2683	65	27	𝑖=1	𝑖=1	PROPN
iajs-2683	65	28	𝑥𝑖	𝑥𝑖	ADP
iajs-2683	65	29	𝑘	𝑘	DET
iajs-2683	65	30	𝑗=1	𝑗=1	PROPN
iajs-2683	65	31	𝑛	𝑛	PROPN
iajs-2683	65	32	𝑖=1	𝑖=1	PROPN
iajs-2683	65	33	)	)	PUNCT
iajs-2683	65	34	)	)	PUNCT
iajs-2683	66	1	(	(	PUNCT
iajs-2683	66	2	3	3	X
iajs-2683	66	3	)	)	PUNCT
iajs-2683	66	4	where	where	SCONJ
iajs-2683	66	5	ai	ai	NOUN
iajs-2683	66	6	is	be	AUX
iajs-2683	66	7	the	the	DET
iajs-2683	66	8	activation	activation	NOUN
iajs-2683	66	9	function	function	NOUN
iajs-2683	66	10	from	from	ADP
iajs-2683	66	11	the	the	DET
iajs-2683	66	12	input	input	NOUN
iajs-2683	66	13	layer	layer	NOUN
iajs-2683	66	14	to	to	ADP
iajs-2683	66	15	the	the	DET
iajs-2683	66	16	output	output	NOUN
iajs-2683	66	17	layer	layer	NOUN
iajs-2683	66	18	,	,	PUNCT
iajs-2683	66	19	xi	xi	X
iajs-2683	66	20	is	be	AUX
iajs-2683	66	21	an	an	DET
iajs-2683	66	22	input	input	NOUN
iajs-2683	66	23	sample	sample	NOUN
iajs-2683	66	24	,	,	PUNCT
iajs-2683	66	25	wi	wi	PROPN
iajs-2683	66	26	i	i	PRON
iajs-2683	66	27	is	be	AUX
iajs-2683	66	28	weight	weight	NOUN
iajs-2683	66	29	from	from	ADP
iajs-2683	66	30	the	the	DET
iajs-2683	66	31	input	input	NOUN
iajs-2683	66	32	layer	layer	NOUN
iajs-2683	66	33	to	to	ADP
iajs-2683	66	34	the	the	DET
iajs-2683	66	35	output	output	NOUN
iajs-2683	66	36	layer	layer	NOUN
iajs-2683	66	37	,	,	PUNCT
iajs-2683	66	38	ao	ao	PROPN
iajs-2683	66	39	is	be	AUX
iajs-2683	66	40	the	the	DET
iajs-2683	66	41	activation	activation	NOUN
iajs-2683	66	42	function	function	NOUN
iajs-2683	66	43	of	of	ADP
iajs-2683	66	44	output	output	NOUN
iajs-2683	66	45	layer	layer	NOUN
iajs-2683	66	46	,	,	PUNCT
iajs-2683	66	47	and	and	CCONJ
iajs-2683	66	48	the	the	DET
iajs-2683	66	49	activation	activation	NOUN
iajs-2683	66	50	function	function	NOUN
iajs-2683	66	51	of	of	ADP
iajs-2683	66	52	the	the	DET
iajs-2683	66	53	hidden	hide	VERB
iajs-2683	66	54	layer	layer	NOUN
iajs-2683	66	55	is	be	AUX
iajs-2683	66	56	ah	ah	INTJ
iajs-2683	66	57	.	.	PUNCT
iajs-2683	67	1	when	when	SCONJ
iajs-2683	67	2	the	the	DET
iajs-2683	67	3	bias	bias	NOUN
iajs-2683	67	4	wb	wb	PROPN
iajs-2683	67	5	is	be	AUX
iajs-2683	67	6	added	add	VERB
iajs-2683	67	7	to	to	ADP
iajs-2683	67	8	the	the	DET
iajs-2683	67	9	input	input	NOUN
iajs-2683	67	10	layer	layer	NOUN
iajs-2683	67	11	and	and	CCONJ
iajs-2683	67	12	the	the	DET
iajs-2683	67	13	activation	activation	NOUN
iajs-2683	67	14	function	function	NOUN
iajs-2683	67	15	of	of	ADP
iajs-2683	67	16	each	each	DET
iajs-2683	67	17	neuron	neuron	NOUN
iajs-2683	67	18	in	in	ADP
iajs-2683	67	19	the	the	DET
iajs-2683	67	20	hidden	hide	VERB
iajs-2683	67	21	layer	layer	NOUN
iajs-2683	67	22	ah	ah	INTJ
iajs-2683	67	23	then	then	ADV
iajs-2683	67	24	equation	equation	NOUN
iajs-2683	67	25	formed	form	VERB
iajs-2683	67	26	as	as	ADP
iajs-2683	67	27	equation	equation	NOUN
iajs-2683	67	28	(	(	PUNCT
iajs-2683	67	29	4	4	NUM
iajs-2683	67	30	)	)	PUNCT
iajs-2683	68	1	[	[	X
iajs-2683	68	2	11	11	NUM
iajs-2683	68	3	]	]	SYM
iajs-2683	68	4	:	:	PUNCT
iajs-2683	68	5	𝑦	𝑦	X
iajs-2683	68	6	=	=	SYM
iajs-2683	68	7	∑	∑	PUNCT
iajs-2683	68	8	𝐴𝑖𝑤𝑖	𝐴𝑖𝑤𝑖	PROPN
iajs-2683	68	9	𝑖𝑥𝑖	𝑖𝑥𝑖	ADJ
iajs-2683	69	1	+	+	CCONJ
iajs-2683	69	2	𝐴𝑜(𝑤𝑏	𝐴𝑜(𝑤𝑏	PROPN
iajs-2683	69	3	+	+	CCONJ
iajs-2683	69	4	∑	∑	PUNCT
iajs-2683	69	5	𝑤𝑗	𝑤𝑗	PRON
iajs-2683	69	6	𝑜𝐴𝑗	𝑜𝐴𝑗	X
iajs-2683	69	7	ℎ(𝑤𝑗	ℎ(𝑤𝑗	PROPN
iajs-2683	69	8	𝑏	𝑏	PROPN
iajs-2683	69	9	+	+	CCONJ
iajs-2683	69	10	∑	∑	NOUN
iajs-2683	69	11	𝑤𝑗𝑖	𝑤𝑗𝑖	VERB
iajs-2683	69	12	ℎ𝑛	ℎ𝑛	PROPN
iajs-2683	69	13	𝑖=1	𝑖=1	PROPN
iajs-2683	69	14	𝑥𝑖	𝑥𝑖	ADP
iajs-2683	69	15	𝑘	𝑘	PRON
iajs-2683	69	16	𝑗=1	𝑗=1	PROPN
iajs-2683	69	17	𝑛	𝑛	PROPN
iajs-2683	69	18	𝑖=1	𝑖=1	PROPN
iajs-2683	69	19	)	)	PUNCT
iajs-2683	69	20	)	)	PUNCT
iajs-2683	69	21	(	(	PUNCT
iajs-2683	69	22	4	4	X
iajs-2683	69	23	)	)	PUNCT
iajs-2683	69	24	after	after	SCONJ
iajs-2683	69	25	construct	construct	VERB
iajs-2683	69	26	cfnn	cfnn	NOUN
iajs-2683	69	27	,	,	PUNCT
iajs-2683	69	28	the	the	DET
iajs-2683	69	29	training	training	NOUN
iajs-2683	69	30	process	process	NOUN
iajs-2683	69	31	of	of	ADP
iajs-2683	69	32	the	the	DET
iajs-2683	69	33	cfnn	cfnn	NOUN
iajs-2683	69	34	will	will	AUX
iajs-2683	69	35	be	be	AUX
iajs-2683	69	36	done	do	VERB
iajs-2683	69	37	,	,	PUNCT
iajs-2683	69	38	in	in	ADP
iajs-2683	69	39	the	the	DET
iajs-2683	69	40	train	train	NOUN
iajs-2683	69	41	state	state	NOUN
iajs-2683	69	42	the	the	DET
iajs-2683	69	43	samples	sample	NOUN
iajs-2683	69	44	inputs	input	NOUN
iajs-2683	69	45	to	to	ADP
iajs-2683	69	46	the	the	DET
iajs-2683	69	47	network	network	NOUN
iajs-2683	69	48	to	to	PART
iajs-2683	69	49	obtain	obtain	VERB
iajs-2683	69	50	the	the	DET
iajs-2683	69	51	target	target	NOUN
iajs-2683	69	52	output	output	NOUN
iajs-2683	69	53	.	.	PUNCT
iajs-2683	70	1	in	in	ADP
iajs-2683	70	2	this	this	DET
iajs-2683	70	3	state	state	NOUN
iajs-2683	70	4	the	the	DET
iajs-2683	70	5	weight	weight	NOUN
iajs-2683	70	6	and	and	CCONJ
iajs-2683	70	7	the	the	DET
iajs-2683	70	8	bias	bias	NOUN
iajs-2683	70	9	based	base	VERB
iajs-2683	70	10	to	to	PART
iajs-2683	70	11	be	be	AUX
iajs-2683	70	12	used	use	VERB
iajs-2683	70	13	,	,	PUNCT
iajs-2683	70	14	cfnn	cfnn	NOUN
iajs-2683	70	15	need	need	VERB
iajs-2683	70	16	inputs	input	NOUN
iajs-2683	70	17	,	,	PUNCT
iajs-2683	70	18	target	target	NOUN
iajs-2683	70	19	result	result	NOUN
iajs-2683	70	20	,	,	PUNCT
iajs-2683	70	21	weight	weight	NOUN
iajs-2683	70	22	and	and	CCONJ
iajs-2683	70	23	bias	bias	NOUN
iajs-2683	70	24	to	to	PART
iajs-2683	70	25	begin	begin	VERB
iajs-2683	70	26	training	training	NOUN
iajs-2683	70	27	process	process	NOUN
iajs-2683	70	28	.	.	PUNCT
iajs-2683	71	1	there	there	PRON
iajs-2683	71	2	are	be	VERB
iajs-2683	71	3	many	many	ADJ
iajs-2683	71	4	types	type	NOUN
iajs-2683	71	5	of	of	ADP
iajs-2683	71	6	activation	activation	NOUN
iajs-2683	71	7	functions	function	NOUN
iajs-2683	71	8	used	use	VERB
iajs-2683	71	9	in	in	ADP
iajs-2683	71	10	training	training	NOUN
iajs-2683	71	11	process	process	NOUN
iajs-2683	71	12	of	of	ADP
iajs-2683	71	13	neural	neural	ADJ
iajs-2683	71	14	networks	network	NOUN
iajs-2683	71	15	,	,	PUNCT
iajs-2683	71	16	the	the	DET
iajs-2683	71	17	training	training	NOUN
iajs-2683	71	18	activation	activation	NOUN
iajs-2683	71	19	function	function	NOUN
iajs-2683	71	20	“	"	PUNCT
iajs-2683	71	21	trainlm	trainlm	NOUN
iajs-2683	71	22	”	"	PUNCT
iajs-2683	71	23	considers	consider	VERB
iajs-2683	71	24	the	the	DET
iajs-2683	71	25	fastest	fast	ADJ
iajs-2683	71	26	backpropagation	backpropagation	NOUN
iajs-2683	71	27	algorithm	algorithm	NOUN
iajs-2683	71	28	in	in	ADP
iajs-2683	71	29	network	network	NOUN
iajs-2683	71	30	training	training	NOUN
iajs-2683	71	31	function	function	NOUN
iajs-2683	71	32	that	that	PRON
iajs-2683	71	33	updates	update	VERB
iajs-2683	71	34	weight	weight	NOUN
iajs-2683	71	35	and	and	CCONJ
iajs-2683	71	36	bias	bias	NOUN
iajs-2683	71	37	values	value	NOUN
iajs-2683	71	38	according	accord	VERB
iajs-2683	71	39	to	to	ADP
iajs-2683	71	40	levenbergmarquardt	levenbergmarquardt	PROPN
iajs-2683	71	41	optimization	optimization	NOUN
iajs-2683	71	42	.	.	PUNCT
iajs-2683	72	1	the	the	DET
iajs-2683	72	2	number	number	NOUN
iajs-2683	72	3	of	of	ADP
iajs-2683	72	4	hidden	hidden	ADJ
iajs-2683	72	5	layers	layer	NOUN
iajs-2683	72	6	depend	depend	VERB
iajs-2683	72	7	on	on	ADP
iajs-2683	72	8	the	the	DET
iajs-2683	72	9	size	size	NOUN
iajs-2683	72	10	of	of	ADP
iajs-2683	72	11	input	input	NOUN
iajs-2683	72	12	samples	sample	NOUN
iajs-2683	72	13	and	and	CCONJ
iajs-2683	72	14	the	the	DET
iajs-2683	72	15	number	number	NOUN
iajs-2683	72	16	of	of	ADP
iajs-2683	72	17	neurons	neuron	NOUN
iajs-2683	72	18	in	in	ADP
iajs-2683	72	19	each	each	DET
iajs-2683	72	20	hidden	hide	VERB
iajs-2683	72	21	layer	layer	NOUN
iajs-2683	72	22	depend	depend	VERB
iajs-2683	72	23	on	on	ADP
iajs-2683	72	24	the	the	DET
iajs-2683	72	25	number	number	NOUN
iajs-2683	72	26	of	of	ADP
iajs-2683	72	27	target	target	NOUN
iajs-2683	72	28	output	output	NOUN
iajs-2683	72	29	[	[	X
iajs-2683	72	30	13	13	NUM
iajs-2683	72	31	]	]	PUNCT
iajs-2683	72	32	.	.	PUNCT
iajs-2683	73	1	cfnn	cfnn	NOUN
iajs-2683	73	2	performance	performance	NOUN
iajs-2683	73	3	like	like	ADP
iajs-2683	73	4	any	any	DET
iajs-2683	73	5	neural	neural	ADJ
iajs-2683	73	6	network	network	NOUN
iajs-2683	73	7	can	can	AUX
iajs-2683	73	8	be	be	AUX
iajs-2683	73	9	measured	measure	VERB
iajs-2683	73	10	,	,	PUNCT
iajs-2683	73	11	thus	thus	ADV
iajs-2683	73	12	the	the	DET
iajs-2683	73	13	mean	mean	ADJ
iajs-2683	73	14	squared	square	VERB
iajs-2683	73	15	error	error	NOUN
iajs-2683	73	16	(	(	PUNCT
iajs-2683	73	17	mse	mse	NOUN
iajs-2683	73	18	)	)	PUNCT
iajs-2683	73	19	is	be	AUX
iajs-2683	73	20	very	very	ADV
iajs-2683	73	21	commonly	commonly	ADV
iajs-2683	73	22	used	use	VERB
iajs-2683	73	23	as	as	ADP
iajs-2683	73	24	a	a	DET
iajs-2683	73	25	perfect	perfect	ADJ
iajs-2683	73	26	general	general	ADJ
iajs-2683	73	27	purpose	purpose	NOUN
iajs-2683	73	28	error	error	NOUN
iajs-2683	73	29	metric	metric	NOUN
iajs-2683	73	30	for	for	ADP
iajs-2683	73	31	numerical	numerical	ADJ
iajs-2683	73	32	predictions	prediction	NOUN
iajs-2683	73	33	[	[	X
iajs-2683	73	34	12	12	NUM
iajs-2683	73	35	]	]	PUNCT
iajs-2683	73	36	.	.	PUNCT
iajs-2683	74	1	ibn	ibn	PROPN
iajs-2683	74	2	al	al	PROPN
iajs-2683	74	3	-	-	PUNCT
iajs-2683	74	4	haitham	haitham	PROPN
iajs-2683	74	5	jour	jour	X
iajs-2683	74	6	.	.	PROPN
iajs-2683	74	7	for	for	ADP
iajs-2683	74	8	pure	pure	ADJ
iajs-2683	74	9	&	&	CCONJ
iajs-2683	74	10	appl	appl	PROPN
iajs-2683	74	11	.	.	PUNCT
iajs-2683	75	1	sci	sci	PROPN
iajs-2683	75	2	.	.	PROPN
iajs-2683	76	1	34(3)2021	34(3)2021	NUM
iajs-2683	76	2	108	108	NUM
iajs-2683	76	3	5	5	NUM
iajs-2683	76	4	.	.	PUNCT
iajs-2683	76	5	methodology	methodology	VERB
iajs-2683	76	6	the	the	DET
iajs-2683	76	7	mechanism	mechanism	NOUN
iajs-2683	76	8	of	of	ADP
iajs-2683	76	9	the	the	DET
iajs-2683	76	10	proposed	propose	VERB
iajs-2683	76	11	method	method	NOUN
iajs-2683	76	12	is	be	AUX
iajs-2683	76	13	in	in	ADP
iajs-2683	76	14	three	three	NUM
iajs-2683	76	15	steps	step	NOUN
iajs-2683	76	16	:	:	PUNCT
iajs-2683	76	17	the	the	DET
iajs-2683	76	18	first	first	ADJ
iajs-2683	76	19	step	step	NOUN
iajs-2683	76	20	extracts	extract	VERB
iajs-2683	76	21	the	the	DET
iajs-2683	76	22	exact	exact	ADJ
iajs-2683	76	23	numerical	numerical	ADJ
iajs-2683	76	24	solution	solution	NOUN
iajs-2683	76	25	of	of	ADP
iajs-2683	76	26	vie	vie	PROPN
iajs-2683	76	27	using	use	VERB
iajs-2683	76	28	trapezoidal	trapezoidal	ADJ
iajs-2683	76	29	quadrature	quadrature	NOUN
iajs-2683	76	30	rule	rule	NOUN
iajs-2683	76	31	and	and	CCONJ
iajs-2683	76	32	then	then	ADV
iajs-2683	76	33	gets	get	VERB
iajs-2683	76	34	the	the	DET
iajs-2683	76	35	mean	mean	NOUN
iajs-2683	76	36	of	of	ADP
iajs-2683	76	37	each	each	DET
iajs-2683	76	38	solution	solution	NOUN
iajs-2683	76	39	which	which	PRON
iajs-2683	76	40	represents	represent	VERB
iajs-2683	76	41	features	feature	NOUN
iajs-2683	76	42	that	that	SCONJ
iajs-2683	76	43	input	input	NOUN
iajs-2683	76	44	to	to	ADP
iajs-2683	76	45	cfnn	cfnn	NOUN
iajs-2683	76	46	,	,	PUNCT
iajs-2683	76	47	these	these	DET
iajs-2683	76	48	features	feature	NOUN
iajs-2683	76	49	saved	save	VERB
iajs-2683	76	50	in	in	ADP
iajs-2683	76	51	fixed	fix	VERB
iajs-2683	76	52	database	database	NOUN
iajs-2683	76	53	to	to	PART
iajs-2683	76	54	use	use	VERB
iajs-2683	76	55	it	it	PRON
iajs-2683	76	56	in	in	ADP
iajs-2683	76	57	the	the	DET
iajs-2683	76	58	second	second	ADJ
iajs-2683	76	59	step	step	NOUN
iajs-2683	76	60	.	.	PUNCT
iajs-2683	77	1	the	the	DET
iajs-2683	77	2	second	second	ADJ
iajs-2683	77	3	step	step	NOUN
iajs-2683	77	4	,	,	PUNCT
iajs-2683	77	5	cfnn	cfnn	NOUN
iajs-2683	77	6	model	model	NOUN
iajs-2683	77	7	is	be	AUX
iajs-2683	77	8	created	create	VERB
iajs-2683	77	9	then	then	ADV
iajs-2683	77	10	training	train	VERB
iajs-2683	77	11	multi	multi	NOUN
iajs-2683	77	12	times	time	NOUN
iajs-2683	77	13	to	to	PART
iajs-2683	77	14	obtain	obtain	VERB
iajs-2683	77	15	the	the	DET
iajs-2683	77	16	same	same	ADJ
iajs-2683	77	17	numerical	numerical	ADJ
iajs-2683	77	18	solutions	solution	NOUN
iajs-2683	77	19	of	of	ADP
iajs-2683	77	20	the	the	DET
iajs-2683	77	21	quadrature	quadrature	NOUN
iajs-2683	77	22	method	method	NOUN
iajs-2683	77	23	.	.	PUNCT
iajs-2683	78	1	in	in	ADP
iajs-2683	78	2	the	the	DET
iajs-2683	78	3	third	third	ADJ
iajs-2683	78	4	step	step	NOUN
iajs-2683	78	5	,	,	PUNCT
iajs-2683	78	6	the	the	DET
iajs-2683	78	7	simulation	simulation	NOUN
iajs-2683	78	8	cfnn	cfnn	PROPN
iajs-2683	78	9	model	model	PROPN
iajs-2683	78	10	test	test	VERB
iajs-2683	78	11	the	the	DET
iajs-2683	78	12	values	value	NOUN
iajs-2683	78	13	to	to	PART
iajs-2683	78	14	obtain	obtain	VERB
iajs-2683	78	15	the	the	DET
iajs-2683	78	16	vie	vie	PROPN
iajs-2683	78	17	solutions	solution	NOUN
iajs-2683	78	18	.	.	PUNCT
iajs-2683	79	1	the	the	DET
iajs-2683	79	2	model	model	NOUN
iajs-2683	79	3	of	of	ADP
iajs-2683	79	4	this	this	DET
iajs-2683	79	5	method	method	NOUN
iajs-2683	79	6	is	be	AUX
iajs-2683	79	7	illustrated	illustrate	VERB
iajs-2683	79	8	in	in	ADP
iajs-2683	79	9	block	block	NOUN
iajs-2683	79	10	diagram	diagram	NOUN
iajs-2683	79	11	as	as	ADP
iajs-2683	79	12	in	in	ADP
iajs-2683	79	13	figure	figure	NOUN
iajs-2683	79	14	(	(	PUNCT
iajs-2683	79	15	2	2	NUM
iajs-2683	79	16	)	)	PUNCT
iajs-2683	79	17	.	.	PUNCT
iajs-2683	80	1	ibn	ibn	PROPN
iajs-2683	80	2	al	al	PROPN
iajs-2683	80	3	-	-	PUNCT
iajs-2683	80	4	haitham	haitham	PROPN
iajs-2683	80	5	jour	jour	X
iajs-2683	80	6	.	.	PROPN
iajs-2683	80	7	for	for	ADP
iajs-2683	80	8	pure	pure	ADJ
iajs-2683	80	9	&	&	CCONJ
iajs-2683	80	10	appl	appl	PROPN
iajs-2683	80	11	.	.	PUNCT
iajs-2683	81	1	sci	sci	PROPN
iajs-2683	81	2	.	.	PROPN
iajs-2683	82	1	34(3)2021	34(3)2021	NUM
iajs-2683	82	2	109	109	NUM
iajs-2683	82	3	figure	figure	NOUN
iajs-2683	82	4	2.block	2.block	NUM
iajs-2683	82	5	diagram	diagram	NOUN
iajs-2683	82	6	of	of	ADP
iajs-2683	82	7	the	the	DET
iajs-2683	82	8	proposed	propose	VERB
iajs-2683	82	9	model	model	NOUN
iajs-2683	82	10	5.1.design	5.1.design	PROPN
iajs-2683	82	11	and	and	CCONJ
iajs-2683	82	12	implementation	implementation	NOUN
iajs-2683	82	13	in	in	ADP
iajs-2683	82	14	the	the	DET
iajs-2683	82	15	proposed	propose	VERB
iajs-2683	82	16	method	method	NOUN
iajs-2683	82	17	,	,	PUNCT
iajs-2683	82	18	selected	select	VERB
iajs-2683	82	19	values	value	NOUN
iajs-2683	82	20	from	from	ADP
iajs-2683	82	21	1	1	NUM
iajs-2683	82	22	to	to	PART
iajs-2683	82	23	20	20	NUM
iajs-2683	82	24	to	to	PART
iajs-2683	82	25	extract	extract	VERB
iajs-2683	82	26	the	the	DET
iajs-2683	82	27	numerical	numerical	ADJ
iajs-2683	82	28	solution	solution	NOUN
iajs-2683	82	29	of	of	ADP
iajs-2683	82	30	vie	vie	PROPN
iajs-2683	82	31	to	to	PART
iajs-2683	82	32	be	be	AUX
iajs-2683	82	33	an	an	DET
iajs-2683	82	34	example	example	NOUN
iajs-2683	82	35	to	to	PART
iajs-2683	82	36	prove	prove	VERB
iajs-2683	82	37	the	the	DET
iajs-2683	82	38	work	work	NOUN
iajs-2683	82	39	,	,	PUNCT
iajs-2683	82	40	solutions	solution	NOUN
iajs-2683	82	41	of	of	ADP
iajs-2683	82	42	vie	vie	PROPN
iajs-2683	82	43	for	for	ADP
iajs-2683	82	44	20	20	NUM
iajs-2683	82	45	values	value	NOUN
iajs-2683	82	46	are	be	AUX
iajs-2683	82	47	calculated	calculate	VERB
iajs-2683	82	48	,	,	PUNCT
iajs-2683	82	49	then	then	ADV
iajs-2683	82	50	trapezoidal	trapezoidal	ADJ
iajs-2683	82	51	quadrature	quadrature	NOUN
iajs-2683	82	52	rule	rule	NOUN
iajs-2683	82	53	mean	mean	VERB
iajs-2683	82	54	for	for	ADP
iajs-2683	82	55	each	each	DET
iajs-2683	82	56	vector	vector	NOUN
iajs-2683	82	57	save	save	NOUN
iajs-2683	82	58	matrix	matrix	NOUN
iajs-2683	82	59	of	of	ADP
iajs-2683	82	60	vie	vie	PROPN
iajs-2683	82	61	solutions	solution	NOUN
iajs-2683	82	62	vector	vector	NOUN
iajs-2683	82	63	testing	testing	NOUN
iajs-2683	82	64	process	process	NOUN
iajs-2683	82	65	values	value	NOUN
iajs-2683	82	66	training	training	NOUN
iajs-2683	82	67	process	process	NOUN
iajs-2683	82	68	simulation	simulation	NOUN
iajs-2683	82	69	of	of	ADP
iajs-2683	82	70	vie	vie	PROPN
iajs-2683	82	71	return	return	PROPN
iajs-2683	82	72	vie	vie	PROPN
iajs-2683	82	73	solution	solution	NOUN
iajs-2683	82	74	cfnn	cfnn	PROPN
iajs-2683	82	75	model	model	PROPN
iajs-2683	82	76	cfnn	cfnn	PROPN
iajs-2683	82	77	model	model	NOUN
iajs-2683	82	78	cfnn	cfnn	PROPN
iajs-2683	82	79	training	training	PROPN
iajs-2683	82	80	vie	vie	PROPN
iajs-2683	82	81	solution	solution	NOUN
iajs-2683	82	82	cfnn	cfnn	NOUN
iajs-2683	82	83	training	training	NOUN
iajs-2683	82	84	vie	vie	PROPN
iajs-2683	82	85	solution	solution	NOUN
iajs-2683	82	86	cfnn	cfnn	NOUN
iajs-2683	82	87	training	training	NOUN
iajs-2683	82	88	vie	vie	PROPN
iajs-2683	82	89	solution	solution	NOUN
iajs-2683	82	90	cfnn	cfnn	NOUN
iajs-2683	82	91	training	training	NOUN
iajs-2683	82	92	vie	vie	PROPN
iajs-2683	82	93	solution	solution	NOUN
iajs-2683	82	94	ibn	ibn	PROPN
iajs-2683	82	95	al	al	PROPN
iajs-2683	82	96	-	-	PUNCT
iajs-2683	82	97	haitham	haitham	PROPN
iajs-2683	82	98	jour	jour	X
iajs-2683	82	99	.	.	PROPN
iajs-2683	83	1	for	for	ADP
iajs-2683	83	2	pure	pure	ADJ
iajs-2683	83	3	&	&	CCONJ
iajs-2683	83	4	appl	appl	PROPN
iajs-2683	83	5	.	.	PUNCT
iajs-2683	84	1	sci	sci	PROPN
iajs-2683	84	2	.	.	PROPN
iajs-2683	85	1	34(3)2021	34(3)2021	NUM
iajs-2683	85	2	110	110	NUM
iajs-2683	85	3	the	the	DET
iajs-2683	85	4	mean	mean	NOUN
iajs-2683	85	5	of	of	ADP
iajs-2683	85	6	each	each	PRON
iajs-2683	85	7	of	of	ADP
iajs-2683	85	8	solution	solution	NOUN
iajs-2683	85	9	is	be	AUX
iajs-2683	85	10	calculated	calculate	VERB
iajs-2683	85	11	to	to	PART
iajs-2683	85	12	be	be	AUX
iajs-2683	85	13	a	a	DET
iajs-2683	85	14	vector	vector	NOUN
iajs-2683	85	15	of	of	ADP
iajs-2683	85	16	solution	solution	NOUN
iajs-2683	85	17	for	for	ADP
iajs-2683	85	18	each	each	DET
iajs-2683	85	19	value	value	NOUN
iajs-2683	85	20	.	.	PUNCT
iajs-2683	86	1	these	these	DET
iajs-2683	86	2	vectors	vector	NOUN
iajs-2683	86	3	will	will	AUX
iajs-2683	86	4	saved	save	VERB
iajs-2683	86	5	to	to	PART
iajs-2683	86	6	be	be	AUX
iajs-2683	86	7	inputs	input	NOUN
iajs-2683	86	8	for	for	ADP
iajs-2683	86	9	cfnn	cfnn	NOUN
iajs-2683	86	10	,	,	PUNCT
iajs-2683	86	11	this	this	DET
iajs-2683	86	12	process	process	NOUN
iajs-2683	86	13	is	be	AUX
iajs-2683	86	14	explained	explain	VERB
iajs-2683	86	15	in	in	ADP
iajs-2683	86	16	algorithm	algorithm	NOUN
iajs-2683	86	17	(	(	PUNCT
iajs-2683	86	18	1	1	NUM
iajs-2683	86	19	):	):	PUNCT
iajs-2683	86	20	algorithm	algorithm	NOUN
iajs-2683	86	21	1	1	NUM
iajs-2683	86	22	:	:	PUNCT
iajs-2683	86	23	trapezoid	trapezoid	ADJ
iajs-2683	86	24	rule	rule	NOUN
iajs-2683	86	25	for	for	ADP
iajs-2683	86	26	volterra	volterra	NOUN
iajs-2683	86	27	integral	integral	ADJ
iajs-2683	86	28	equations	equation	NOUN
iajs-2683	86	29	(	(	PUNCT
iajs-2683	86	30	vie	vie	NOUN
iajs-2683	86	31	):	):	PUNCT
iajs-2683	86	32	input	input	NOUN
iajs-2683	86	33	:	:	PUNCT
iajs-2683	86	34	numerical	numerical	ADJ
iajs-2683	86	35	values	value	NOUN
iajs-2683	86	36	output	output	VERB
iajs-2683	86	37	:	:	PUNCT
iajs-2683	86	38	vectors	vector	NOUN
iajs-2683	86	39	of	of	ADP
iajs-2683	86	40	mean	mean	NOUN
iajs-2683	86	41	of	of	ADP
iajs-2683	86	42	vie	vie	PROPN
iajs-2683	86	43	--------------------------------------------------------------------	--------------------------------------------------------------------	PROPN
iajs-2683	86	44	step1	step1	PROPN
iajs-2683	86	45	.	.	PUNCT
iajs-2683	87	1	select	select	VERB
iajs-2683	87	2	20	20	NUM
iajs-2683	87	3	values	value	NOUN
iajs-2683	87	4	as	as	ADP
iajs-2683	87	5	an	an	DET
iajs-2683	87	6	examples	example	NOUN
iajs-2683	87	7	of	of	ADP
iajs-2683	87	8	the	the	DET
iajs-2683	87	9	proposed	propose	VERB
iajs-2683	87	10	method	method	NOUN
iajs-2683	87	11	[	[	X
iajs-2683	87	12	1	1	NUM
iajs-2683	87	13	..	..	SYM
iajs-2683	87	14	20	20	NUM
iajs-2683	87	15	]	]	PUNCT
iajs-2683	87	16	.	.	PUNCT
iajs-2683	88	1	step2	step2	PROPN
iajs-2683	88	2	.	.	PROPN
iajs-2683	88	3	calculate	calculate	PROPN
iajs-2683	88	4	vie	vie	PROPN
iajs-2683	88	5	by	by	ADP
iajs-2683	88	6	use	use	VERB
iajs-2683	88	7	trapezoid	trapezoid	ADJ
iajs-2683	88	8	rule	rule	NOUN
iajs-2683	88	9	.	.	PUNCT
iajs-2683	89	1	step3	step3	PROPN
iajs-2683	89	2	.	.	PUNCT
iajs-2683	89	3	find	find	VERB
iajs-2683	89	4	mean	mean	NOUN
iajs-2683	89	5	of	of	ADP
iajs-2683	89	6	each	each	DET
iajs-2683	89	7	vie	vie	PROPN
iajs-2683	89	8	vector	vector	PROPN
iajs-2683	89	9	.	.	PUNCT
iajs-2683	90	1	step4	step4	PROPN
iajs-2683	90	2	.	.	PUNCT
iajs-2683	91	1	save	save	VERB
iajs-2683	91	2	output	output	NOUN
iajs-2683	91	3	of	of	ADP
iajs-2683	91	4	vie	vie	PROPN
iajs-2683	91	5	.	.	PUNCT
iajs-2683	92	1	step5	step5	PROPN
iajs-2683	92	2	:	:	PUNCT
iajs-2683	92	3	repeat	repeat	NOUN
iajs-2683	92	4	steps	step	NOUN
iajs-2683	92	5	(	(	PUNCT
iajs-2683	92	6	2	2	NUM
iajs-2683	92	7	-	-	SYM
iajs-2683	92	8	4	4	NUM
iajs-2683	92	9	)	)	PUNCT
iajs-2683	92	10	20	20	NUM
iajs-2683	92	11	times	time	NOUN
iajs-2683	92	12	.	.	PUNCT
iajs-2683	93	1	cfnn	cfnn	NOUN
iajs-2683	93	2	building	building	NOUN
iajs-2683	93	3	based	base	VERB
iajs-2683	93	4	on	on	ADP
iajs-2683	93	5	the	the	DET
iajs-2683	93	6	entered	enter	VERB
iajs-2683	93	7	inputs	input	NOUN
iajs-2683	93	8	to	to	PART
iajs-2683	93	9	get	get	VERB
iajs-2683	93	10	the	the	DET
iajs-2683	93	11	target	target	NOUN
iajs-2683	93	12	value	value	NOUN
iajs-2683	93	13	of	of	ADP
iajs-2683	93	14	the	the	DET
iajs-2683	93	15	desired	desire	VERB
iajs-2683	93	16	solution	solution	NOUN
iajs-2683	93	17	of	of	ADP
iajs-2683	93	18	vie	vie	PROPN
iajs-2683	93	19	,	,	PUNCT
iajs-2683	93	20	cfnn	cfnn	ADJ
iajs-2683	93	21	structure	structure	NOUN
iajs-2683	93	22	contains	contain	VERB
iajs-2683	93	23	one	one	NUM
iajs-2683	93	24	input	input	NOUN
iajs-2683	93	25	layer	layer	NOUN
iajs-2683	93	26	,	,	PUNCT
iajs-2683	93	27	one	one	NUM
iajs-2683	93	28	hidden	hide	VERB
iajs-2683	93	29	layer	layer	NOUN
iajs-2683	93	30	which	which	PRON
iajs-2683	93	31	contains	contain	VERB
iajs-2683	93	32	20	20	NUM
iajs-2683	93	33	neurons	neuron	NOUN
iajs-2683	93	34	,	,	PUNCT
iajs-2683	93	35	and	and	CCONJ
iajs-2683	93	36	one	one	NUM
iajs-2683	93	37	output	output	NOUN
iajs-2683	93	38	layer	layer	NOUN
iajs-2683	93	39	.	.	PUNCT
iajs-2683	94	1	in	in	ADP
iajs-2683	94	2	cfnn	cfnn	NOUN
iajs-2683	94	3	used	use	VERB
iajs-2683	94	4	defaults	default	NOUN
iajs-2683	94	5	parameters	parameter	NOUN
iajs-2683	94	6	for	for	ADP
iajs-2683	94	7	weights	weight	NOUN
iajs-2683	94	8	and	and	CCONJ
iajs-2683	94	9	bias	bias	NOUN
iajs-2683	94	10	values	value	NOUN
iajs-2683	94	11	that	that	PRON
iajs-2683	94	12	update	update	NOUN
iajs-2683	94	13	by	by	ADP
iajs-2683	94	14	useing	use	VERB
iajs-2683	94	15	“	"	PUNCT
iajs-2683	94	16	trainlm	trainlm	NOUN
iajs-2683	94	17	”	"	PUNCT
iajs-2683	94	18	as	as	ADP
iajs-2683	94	19	activation	activation	NOUN
iajs-2683	94	20	function	function	NOUN
iajs-2683	94	21	of	of	ADP
iajs-2683	94	22	cfnn	cfnn	NOUN
iajs-2683	94	23	,	,	PUNCT
iajs-2683	94	24	cfnn	cfnn	ADJ
iajs-2683	94	25	structure	structure	NOUN
iajs-2683	94	26	creates	create	VERB
iajs-2683	94	27	in	in	ADP
iajs-2683	94	28	algorithm	algorithm	NOUN
iajs-2683	94	29	(	(	PUNCT
iajs-2683	94	30	2	2	NUM
iajs-2683	94	31	)	)	PUNCT
iajs-2683	94	32	,	,	PUNCT
iajs-2683	94	33	while	while	SCONJ
iajs-2683	94	34	figure	figure	NOUN
iajs-2683	94	35	(	(	PUNCT
iajs-2683	94	36	3	3	X
iajs-2683	94	37	)	)	PUNCT
iajs-2683	94	38	shows	show	VERB
iajs-2683	94	39	the	the	DET
iajs-2683	94	40	structure	structure	NOUN
iajs-2683	94	41	of	of	ADP
iajs-2683	94	42	cfnn	cfnn	NOUN
iajs-2683	94	43	which	which	PRON
iajs-2683	94	44	builds	build	VERB
iajs-2683	94	45	in	in	ADP
iajs-2683	94	46	this	this	DET
iajs-2683	94	47	work	work	NOUN
iajs-2683	94	48	.	.	PUNCT
iajs-2683	95	1	algorithm2	algorithm2	NOUN
iajs-2683	95	2	:	:	PUNCT
iajs-2683	95	3	create	create	VERB
iajs-2683	95	4	cfnn	cfnn	ADJ
iajs-2683	95	5	input	input	NOUN
iajs-2683	95	6	:	:	PUNCT
iajs-2683	95	7	numbers	number	NOUN
iajs-2683	95	8	of	of	ADP
iajs-2683	95	9	vectors	vector	NOUN
iajs-2683	95	10	in	in	ADP
iajs-2683	95	11	matrix	matrix	NOUN
iajs-2683	95	12	of	of	ADP
iajs-2683	95	13	mean	mean	NOUN
iajs-2683	95	14	of	of	ADP
iajs-2683	95	15	vie	vie	PROPN
iajs-2683	95	16	output	output	PROPN
iajs-2683	95	17	:	:	PUNCT
iajs-2683	96	1	cfnn	cfnn	NOUN
iajs-2683	96	2	--------------------------------------------------------------------	--------------------------------------------------------------------	PUNCT
iajs-2683	96	3	step1	step1	PROPN
iajs-2683	96	4	.	.	PUNCT
iajs-2683	97	1	select	select	ADJ
iajs-2683	97	2	network	network	NOUN
iajs-2683	97	3	structure	structure	NOUN
iajs-2683	97	4	type	type	NOUN
iajs-2683	97	5	“	"	PUNCT
iajs-2683	97	6	cascade	cascade	NOUN
iajs-2683	97	7	forward	forward	ADV
iajs-2683	97	8	neural	neural	ADJ
iajs-2683	97	9	network	network	NOUN
iajs-2683	97	10	”	"	PUNCT
iajs-2683	97	11	.	.	PUNCT
iajs-2683	98	1	step2	step2	PROPN
iajs-2683	98	2	.	.	PROPN
iajs-2683	98	3	determine	determine	VERB
iajs-2683	98	4	no	no	DET
iajs-2683	98	5	.	.	NOUN
iajs-2683	98	6	of	of	ADP
iajs-2683	98	7	layers	layer	NOUN
iajs-2683	98	8	depend	depend	VERB
iajs-2683	98	9	on	on	ADP
iajs-2683	98	10	numbers	number	NOUN
iajs-2683	98	11	of	of	ADP
iajs-2683	98	12	vectors	vector	NOUN
iajs-2683	98	13	in	in	ADP
iajs-2683	98	14	matrix	matrix	NOUN
iajs-2683	98	15	of	of	ADP
iajs-2683	98	16	mean	mean	NOUN
iajs-2683	98	17	of	of	ADP
iajs-2683	98	18	vie	vie	PROPN
iajs-2683	99	1	[	[	X
iajs-2683	99	2	one	one	NUM
iajs-2683	99	3	input	input	NOUN
iajs-2683	99	4	layer	layer	NOUN
iajs-2683	99	5	–	–	PUNCT
iajs-2683	99	6	one	one	NUM
iajs-2683	99	7	hidden	hide	VERB
iajs-2683	99	8	layer	layer	NOUN
iajs-2683	99	9	–	–	PUNCT
iajs-2683	99	10	one	one	NUM
iajs-2683	99	11	output	output	NOUN
iajs-2683	99	12	layer	layer	NOUN
iajs-2683	99	13	]	]	PUNCT
iajs-2683	99	14	.	.	PUNCT
iajs-2683	100	1	step3.no	step3.no	PROPN
iajs-2683	100	2	.	.	PROPN
iajs-2683	100	3	of	of	ADP
iajs-2683	100	4	neurons	neuron	NOUN
iajs-2683	100	5	in	in	ADP
iajs-2683	100	6	input	input	NOUN
iajs-2683	100	7	layer	layer	NOUN
iajs-2683	100	8	(	(	PUNCT
iajs-2683	100	9	no.i	no.i	NOUN
iajs-2683	100	10	)	)	PUNCT
iajs-2683	100	11	equal	equal	VERB
iajs-2683	100	12	the	the	DET
iajs-2683	100	13	value	value	NOUN
iajs-2683	100	14	of	of	ADP
iajs-2683	100	15	vector	vector	NOUN
iajs-2683	100	16	.	.	PUNCT
iajs-2683	101	1	step4.no	step4.no	PROPN
iajs-2683	101	2	.	.	PUNCT
iajs-2683	102	1	of	of	ADP
iajs-2683	102	2	neurons	neuron	NOUN
iajs-2683	102	3	in	in	ADP
iajs-2683	102	4	hidden	hide	VERB
iajs-2683	102	5	layer	layer	NOUN
iajs-2683	102	6	(	(	PUNCT
iajs-2683	102	7	no.h	no.h	NOUN
iajs-2683	102	8	)	)	PUNCT
iajs-2683	102	9	depend	depend	VERB
iajs-2683	102	10	on	on	ADP
iajs-2683	102	11	the	the	DET
iajs-2683	102	12	number	number	NOUN
iajs-2683	102	13	of	of	ADP
iajs-2683	102	14	input	input	NOUN
iajs-2683	102	15	vectors	vector	NOUN
iajs-2683	102	16	.	.	PUNCT
iajs-2683	103	1	step5.no	step5.no	PROPN
iajs-2683	103	2	.	.	PROPN
iajs-2683	104	1	of	of	ADP
iajs-2683	104	2	neurons	neuron	NOUN
iajs-2683	104	3	in	in	ADP
iajs-2683	104	4	output	output	NOUN
iajs-2683	104	5	layer	layer	NOUN
iajs-2683	104	6	(	(	PUNCT
iajs-2683	104	7	no.o	no.o	NOUN
iajs-2683	104	8	)	)	PUNCT
iajs-2683	104	9	depend	depend	VERB
iajs-2683	104	10	on	on	ADP
iajs-2683	104	11	the	the	DET
iajs-2683	104	12	number	number	NOUN
iajs-2683	104	13	of	of	ADP
iajs-2683	104	14	target	target	NOUN
iajs-2683	104	15	vectors	vector	NOUN
iajs-2683	104	16	.	.	PUNCT
iajs-2683	105	1	step6	step6	NOUN
iajs-2683	105	2	.	.	PUNCT
iajs-2683	106	1	calculate	calculate	VERB
iajs-2683	106	2	weight	weight	NOUN
iajs-2683	106	3	and	and	CCONJ
iajs-2683	106	4	bias	bias	NOUN
iajs-2683	106	5	values	value	NOUN
iajs-2683	106	6	:	:	PUNCT
iajs-2683	106	7			VERB
iajs-2683	106	8	iw	iw	INTJ
iajs-2683	106	9	:	:	PUNCT
iajs-2683	106	10	{	{	PUNCT
iajs-2683	106	11	2x1	2x1	NUM
iajs-2683	106	12	cell	cell	NOUN
iajs-2683	106	13	}	}	PUNCT
iajs-2683	106	14	containing	contain	VERB
iajs-2683	106	15	2	2	NUM
iajs-2683	106	16	input	input	NOUN
iajs-2683	106	17	weight	weight	NOUN
iajs-2683	106	18	matrices	matrix	NOUN
iajs-2683	106	19	.	.	PUNCT
iajs-2683	107	1			PROPN
iajs-2683	107	2	lw	lw	NOUN
iajs-2683	107	3	:	:	PUNCT
iajs-2683	107	4	{	{	PUNCT
iajs-2683	107	5	2x2	2x2	NUM
iajs-2683	107	6	cell	cell	NOUN
iajs-2683	107	7	}	}	PUNCT
iajs-2683	107	8	containing	contain	VERB
iajs-2683	107	9	1	1	NUM
iajs-2683	107	10	layer	layer	NOUN
iajs-2683	107	11	weight	weight	NOUN
iajs-2683	107	12	matrix	matrix	NOUN
iajs-2683	107	13	.	.	PUNCT
iajs-2683	108	1			PROPN
iajs-2683	108	2	b	b	NOUN
iajs-2683	108	3	:	:	PUNCT
iajs-2683	108	4	{	{	PUNCT
iajs-2683	108	5	2x1	2x1	NUM
iajs-2683	108	6	cell	cell	NOUN
iajs-2683	108	7	}	}	PUNCT
iajs-2683	108	8	containing	contain	VERB
iajs-2683	108	9	2	2	NUM
iajs-2683	108	10	bias	bias	NOUN
iajs-2683	108	11	vectors	vector	NOUN
iajs-2683	108	12	.	.	PUNCT
iajs-2683	109	1	step7	step7	PROPN
iajs-2683	109	2	.	.	PUNCT
iajs-2683	110	1	create	create	VERB
iajs-2683	110	2	(	(	PUNCT
iajs-2683	110	3	cfnn	cfnn	NOUN
iajs-2683	110	4	,	,	PUNCT
iajs-2683	110	5	no	no	PRON
iajs-2683	110	6	of	of	ADP
iajs-2683	110	7	layers	layer	NOUN
iajs-2683	110	8	,	,	PUNCT
iajs-2683	110	9	no.i	no.i	ADV
iajs-2683	110	10	,	,	PUNCT
iajs-2683	110	11	no.h	no.h	NOUN
iajs-2683	110	12	,	,	PUNCT
iajs-2683	110	13	no.o	no.o	NOUN
iajs-2683	110	14	,	,	PUNCT
iajs-2683	110	15	iw	iw	INTJ
iajs-2683	110	16	,	,	PUNCT
iajs-2683	110	17	lw	lw	PROPN
iajs-2683	110	18	,	,	PUNCT
iajs-2683	110	19	b	b	NOUN
iajs-2683	110	20	)	)	PUNCT
iajs-2683	110	21	.	.	PUNCT
iajs-2683	111	1	figure	figure	VERB
iajs-2683	111	2	3	3	NUM
iajs-2683	111	3	.	.	PUNCT
iajs-2683	111	4	structure	structure	NOUN
iajs-2683	111	5	of	of	ADP
iajs-2683	111	6	cfnn	cfnn	PROPN
iajs-2683	111	7	ibn	ibn	PROPN
iajs-2683	111	8	al	al	PROPN
iajs-2683	111	9	-	-	PUNCT
iajs-2683	111	10	haitham	haitham	PROPN
iajs-2683	111	11	jour	jour	X
iajs-2683	111	12	.	.	PROPN
iajs-2683	112	1	for	for	ADP
iajs-2683	112	2	pure	pure	ADJ
iajs-2683	112	3	&	&	CCONJ
iajs-2683	112	4	appl	appl	PROPN
iajs-2683	112	5	.	.	PUNCT
iajs-2683	113	1	sci	sci	PROPN
iajs-2683	113	2	.	.	PROPN
iajs-2683	114	1	34(3)2021	34(3)2021	NUM
iajs-2683	114	2	111	111	NUM
iajs-2683	114	3	the	the	DET
iajs-2683	114	4	proposed	propose	VERB
iajs-2683	114	5	method	method	NOUN
iajs-2683	114	6	of	of	ADP
iajs-2683	114	7	training	training	NOUN
iajs-2683	114	8	cfnn	cfnn	NOUN
iajs-2683	114	9	explained	explain	VERB
iajs-2683	114	10	in	in	ADP
iajs-2683	114	11	algorithm	algorithm	NOUN
iajs-2683	114	12	(	(	PUNCT
iajs-2683	114	13	3	3	NUM
iajs-2683	114	14	)	)	PUNCT
iajs-2683	114	15	,	,	PUNCT
iajs-2683	114	16	it	it	PRON
iajs-2683	114	17	depends	depend	VERB
iajs-2683	114	18	on	on	ADP
iajs-2683	114	19	train	train	NOUN
iajs-2683	114	20	cfnn	cfnn	PROPN
iajs-2683	114	21	multi	multi	PROPN
iajs-2683	114	22	times	time	NOUN
iajs-2683	114	23	then	then	ADV
iajs-2683	114	24	combine	combine	VERB
iajs-2683	114	25	the	the	DET
iajs-2683	114	26	results	result	NOUN
iajs-2683	114	27	of	of	ADP
iajs-2683	114	28	training	training	NOUN
iajs-2683	114	29	cfnns	cfnn	NOUN
iajs-2683	114	30	to	to	PART
iajs-2683	114	31	exceed	exceed	VERB
iajs-2683	114	32	the	the	DET
iajs-2683	114	33	errors	error	NOUN
iajs-2683	114	34	in	in	ADP
iajs-2683	114	35	training	training	NOUN
iajs-2683	114	36	results	result	NOUN
iajs-2683	114	37	of	of	ADP
iajs-2683	114	38	cfnn	cfnn	NOUN
iajs-2683	114	39	and	and	CCONJ
iajs-2683	114	40	gets	get	VERB
iajs-2683	114	41	the	the	DET
iajs-2683	114	42	optimum	optimum	ADJ
iajs-2683	114	43	performance	performance	NOUN
iajs-2683	114	44	,	,	PUNCT
iajs-2683	114	45	the	the	DET
iajs-2683	114	46	training	training	NOUN
iajs-2683	114	47	process	process	NOUN
iajs-2683	114	48	terminated	terminate	VERB
iajs-2683	114	49	after	after	SCONJ
iajs-2683	114	50	there	there	PRON
iajs-2683	114	51	is	be	VERB
iajs-2683	114	52	no	no	DET
iajs-2683	114	53	enhancement	enhancement	NOUN
iajs-2683	114	54	in	in	ADP
iajs-2683	114	55	their	their	PRON
iajs-2683	114	56	performance	performance	NOUN
iajs-2683	114	57	.	.	PUNCT
iajs-2683	115	1	in	in	ADP
iajs-2683	115	2	this	this	DET
iajs-2683	115	3	work	work	NOUN
iajs-2683	115	4	the	the	DET
iajs-2683	115	5	performance	performance	NOUN
iajs-2683	115	6	of	of	ADP
iajs-2683	115	7	cfnn	cfnn	NOUN
iajs-2683	115	8	stopped	stop	VERB
iajs-2683	115	9	improving	improve	VERB
iajs-2683	115	10	after	after	ADP
iajs-2683	115	11	four	four	NUM
iajs-2683	115	12	training	training	NOUN
iajs-2683	115	13	of	of	ADP
iajs-2683	115	14	cfnn	cfnn	NOUN
iajs-2683	115	15	,	,	PUNCT
iajs-2683	115	16	four	four	NUM
iajs-2683	115	17	cfnn	cfnn	NOUN
iajs-2683	115	18	training	training	NOUN
iajs-2683	115	19	is	be	AUX
iajs-2683	115	20	combined	combine	VERB
iajs-2683	115	21	and	and	CCONJ
iajs-2683	115	22	saved	save	VERB
iajs-2683	115	23	to	to	PART
iajs-2683	115	24	be	be	AUX
iajs-2683	115	25	simulated	simulate	VERB
iajs-2683	115	26	the	the	DET
iajs-2683	115	27	result	result	NOUN
iajs-2683	115	28	in	in	ADP
iajs-2683	115	29	test	test	NOUN
iajs-2683	115	30	state	state	NOUN
iajs-2683	115	31	.	.	PUNCT
iajs-2683	116	1	the	the	DET
iajs-2683	116	2	training	training	NOUN
iajs-2683	116	3	process	process	NOUN
iajs-2683	116	4	of	of	ADP
iajs-2683	116	5	cfnn	cfnn	NOUN
iajs-2683	116	6	can	can	AUX
iajs-2683	116	7	be	be	AUX
iajs-2683	116	8	seen	see	VERB
iajs-2683	116	9	in	in	ADP
iajs-2683	116	10	figure	figure	NOUN
iajs-2683	116	11	(	(	PUNCT
iajs-2683	116	12	4	4	NUM
iajs-2683	116	13	)	)	PUNCT
iajs-2683	116	14	which	which	PRON
iajs-2683	116	15	appears	appear	VERB
iajs-2683	116	16	the	the	DET
iajs-2683	116	17	training	training	NOUN
iajs-2683	116	18	progress	progress	NOUN
iajs-2683	116	19	of	of	ADP
iajs-2683	116	20	cfnn	cfnn	NOUN
iajs-2683	116	21	for	for	ADP
iajs-2683	116	22	each	each	DET
iajs-2683	116	23	time	time	NOUN
iajs-2683	116	24	.	.	PUNCT
iajs-2683	117	1	algorithm3	algorithm3	NOUN
iajs-2683	117	2	:	:	PUNCT
iajs-2683	117	3	training	training	NOUN
iajs-2683	117	4	process	process	NOUN
iajs-2683	117	5	input	input	NOUN
iajs-2683	117	6	:	:	PUNCT
iajs-2683	117	7	cfnn	cfnn	NOUN
iajs-2683	117	8	,	,	PUNCT
iajs-2683	117	9	vectors	vector	NOUN
iajs-2683	117	10	of	of	ADP
iajs-2683	117	11	mean	mean	NOUN
iajs-2683	117	12	of	of	ADP
iajs-2683	117	13	vie	vie	PROPN
iajs-2683	117	14	output	output	NOUN
iajs-2683	117	15	:	:	PUNCT
iajs-2683	117	16	cell	cell	NOUN
iajs-2683	117	17	of	of	ADP
iajs-2683	117	18	cfnns	cfnns	PROPN
iajs-2683	117	19	model	model	PROPN
iajs-2683	117	20	--------------------------------------------------------------------	--------------------------------------------------------------------	PROPN
iajs-2683	118	1	step1	step1	PROPN
iajs-2683	118	2	.	.	PUNCT
iajs-2683	119	1	call	call	VERB
iajs-2683	119	2	algorithm1	algorithm1	NOUN
iajs-2683	120	1	“	"	PUNCT
iajs-2683	120	2	trapezoid	trapezoid	ADJ
iajs-2683	120	3	rule	rule	NOUN
iajs-2683	120	4	for	for	ADP
iajs-2683	120	5	volterra	volterra	NOUN
iajs-2683	120	6	integral	integral	ADJ
iajs-2683	120	7	equations	equation	NOUN
iajs-2683	120	8	(	(	PUNCT
iajs-2683	120	9	vie	vie	NOUN
iajs-2683	120	10	)	)	PUNCT
iajs-2683	120	11	”	"	PUNCT
iajs-2683	120	12	with	with	ADP
iajs-2683	120	13	20	20	NUM
iajs-2683	120	14	values	value	NOUN
iajs-2683	120	15	.	.	PUNCT
iajs-2683	121	1	step2	step2	PROPN
iajs-2683	121	2	.	.	PUNCT
iajs-2683	121	3	call	call	VERB
iajs-2683	121	4	algorithm2	algorithm2	NOUN
iajs-2683	121	5	“	"	PUNCT
iajs-2683	121	6	create	create	VERB
iajs-2683	121	7	cfnn	cfnn	NOUN
iajs-2683	121	8	”	"	PUNCT
iajs-2683	121	9	with	with	ADP
iajs-2683	121	10	20	20	NUM
iajs-2683	121	11	neurons	neuron	NOUN
iajs-2683	121	12	.	.	PUNCT
iajs-2683	122	1	step3	step3	PROPN
iajs-2683	122	2	.	.	PUNCT
iajs-2683	123	1	train	train	VERB
iajs-2683	123	2	cfnn	cfnn	NOUN
iajs-2683	123	3	with	with	ADP
iajs-2683	123	4	inputs	input	NOUN
iajs-2683	123	5	(	(	PUNCT
iajs-2683	123	6	vectors	vector	NOUN
iajs-2683	123	7	of	of	ADP
iajs-2683	123	8	mean	mean	NOUN
iajs-2683	123	9	of	of	ADP
iajs-2683	123	10	vie	vie	PROPN
iajs-2683	123	11	)	)	PUNCT
iajs-2683	123	12	.	.	PUNCT
iajs-2683	124	1	step4	step4	PROPN
iajs-2683	124	2	.	.	PUNCT
iajs-2683	125	1	evaluate	evaluate	VERB
iajs-2683	125	2	network	network	NOUN
iajs-2683	125	3	outputs	output	NOUN
iajs-2683	125	4	by	by	ADP
iajs-2683	125	5	given	give	VERB
iajs-2683	125	6	inputs	input	NOUN
iajs-2683	125	7	.	.	PUNCT
iajs-2683	126	1	step5	step5	PROPN
iajs-2683	126	2	.	.	PUNCT
iajs-2683	127	1	save	save	VERB
iajs-2683	127	2	cfnn	cfnn	NOUN
iajs-2683	127	3	with	with	ADP
iajs-2683	127	4	performance	performance	NOUN
iajs-2683	127	5	value	value	NOUN
iajs-2683	127	6	.	.	PUNCT
iajs-2683	128	1	step6	step6	NOUN
iajs-2683	128	2	.	.	PUNCT
iajs-2683	129	1	evaluate	evaluate	VERB
iajs-2683	129	2	the	the	DET
iajs-2683	129	3	performance	performance	NOUN
iajs-2683	129	4	of	of	ADP
iajs-2683	129	5	cfnn	cfnn	NOUN
iajs-2683	129	6	if	if	SCONJ
iajs-2683	129	7	there	there	PRON
iajs-2683	129	8	are	be	VERB
iajs-2683	129	9	errors	error	NOUN
iajs-2683	129	10	in	in	ADP
iajs-2683	129	11	simulation	simulation	NOUN
iajs-2683	129	12	results	result	NOUN
iajs-2683	129	13	repeat	repeat	VERB
iajs-2683	129	14	the	the	DET
iajs-2683	129	15	steps	step	NOUN
iajs-2683	129	16	from	from	ADP
iajs-2683	129	17	(	(	PUNCT
iajs-2683	129	18	3	3	NUM
iajs-2683	129	19	to	to	PART
iajs-2683	129	20	6	6	NUM
iajs-2683	129	21	)	)	PUNCT
iajs-2683	129	22	.	.	PUNCT
iajs-2683	130	1	step7	step7	PROPN
iajs-2683	130	2	.	.	PUNCT
iajs-2683	131	1	save	save	VERB
iajs-2683	131	2	cfnn	cfnn	NOUN
iajs-2683	131	3	as	as	ADP
iajs-2683	131	4	“	"	PUNCT
iajs-2683	131	5	netno	netno	ADJ
iajs-2683	131	6	attempt	attempt	NOUN
iajs-2683	131	7	”	"	PUNCT
iajs-2683	131	8	step8	step8	NOUN
iajs-2683	131	9	.	.	PUNCT
iajs-2683	132	1	after	after	ADP
iajs-2683	132	2	4	4	NUM
iajs-2683	132	3	attempts	attempt	NOUN
iajs-2683	132	4	(	(	PUNCT
iajs-2683	132	5	repeat	repeat	VERB
iajs-2683	132	6	steps	step	NOUN
iajs-2683	132	7	3	3	NUM
iajs-2683	132	8	to	to	PART
iajs-2683	132	9	7	7	NUM
iajs-2683	132	10	)	)	PUNCT
iajs-2683	132	11	,	,	PUNCT
iajs-2683	132	12	the	the	DET
iajs-2683	132	13	best	good	ADJ
iajs-2683	132	14	performance	performance	NOUN
iajs-2683	132	15	would	would	AUX
iajs-2683	132	16	been	been	AUX
iajs-2683	132	17	done	do	VERB
iajs-2683	132	18	by	by	ADP
iajs-2683	132	19	get	get	VERB
iajs-2683	132	20	the	the	DET
iajs-2683	132	21	target	target	NOUN
iajs-2683	132	22	result	result	NOUN
iajs-2683	132	23	.	.	PUNCT
iajs-2683	133	1	step9	step9	NOUN
iajs-2683	133	2	.	.	PUNCT
iajs-2683	134	1	save	save	VERB
iajs-2683	134	2	net-1	net-1	ADV
iajs-2683	134	3	,	,	PUNCT
iajs-2683	134	4	net-2	net-2	X
iajs-2683	134	5	,	,	PUNCT
iajs-2683	134	6	net-3	net-3	ADP
iajs-2683	134	7	and	and	CCONJ
iajs-2683	134	8	net-4	net-4	PUNCT
iajs-2683	134	9	as	as	ADP
iajs-2683	134	10	“	"	PUNCT
iajs-2683	134	11	cell	cell	NOUN
iajs-2683	134	12	of	of	ADP
iajs-2683	134	13	cfnns	cfnns	PROPN
iajs-2683	134	14	model	model	NOUN
iajs-2683	134	15	”	"	PUNCT
iajs-2683	134	16	.	.	PUNCT
iajs-2683	135	1	ibn	ibn	PROPN
iajs-2683	135	2	al	al	PROPN
iajs-2683	135	3	-	-	PUNCT
iajs-2683	135	4	haitham	haitham	PROPN
iajs-2683	135	5	jour	jour	X
iajs-2683	135	6	.	.	PROPN
iajs-2683	135	7	for	for	ADP
iajs-2683	135	8	pure	pure	ADJ
iajs-2683	135	9	&	&	CCONJ
iajs-2683	135	10	appl	appl	PROPN
iajs-2683	135	11	.	.	PUNCT
iajs-2683	136	1	sci	sci	PROPN
iajs-2683	136	2	.	.	PROPN
iajs-2683	137	1	34(3)2021	34(3)2021	NUM
iajs-2683	137	2	112	112	NUM
iajs-2683	137	3	a.	a.	NOUN
iajs-2683	137	4	cfnn	cfnn	NOUN
iajs-2683	137	5	training1	training1	PROPN
iajs-2683	137	6	b.	b.	PROPN
iajs-2683	137	7	cfnn	cfnn	NOUN
iajs-2683	137	8	training2	training2	PROPN
iajs-2683	138	1	c.	c.	PROPN
iajs-2683	138	2	cfnn	cfnn	NOUN
iajs-2683	138	3	training3	training3	PROPN
iajs-2683	139	1	d.	d.	PROPN
iajs-2683	139	2	cfnn	cfnn	NOUN
iajs-2683	139	3	training4	training4	NOUN
iajs-2683	139	4	figure	figure	VERB
iajs-2683	139	5	4.training	4.training	NUM
iajs-2683	139	6	process	process	NOUN
iajs-2683	139	7	of	of	ADP
iajs-2683	139	8	cfnns	cfnn	NOUN
iajs-2683	139	9	:	:	PUNCT
iajs-2683	139	10	a.	a.	NOUN
iajs-2683	139	11	cfnn	cfnn	PROPN
iajs-2683	139	12	training1	training1	PROPN
iajs-2683	139	13	,	,	PUNCT
iajs-2683	139	14	b.	b.	PROPN
iajs-2683	139	15	cfnn	cfnn	PROPN
iajs-2683	139	16	training2	training2	PROPN
iajs-2683	139	17	,	,	PUNCT
iajs-2683	139	18	c.	c.	PROPN
iajs-2683	139	19	cfnn	cfnn	NOUN
iajs-2683	139	20	training3	training3	PROPN
iajs-2683	139	21	,	,	PUNCT
iajs-2683	139	22	d.	d.	PROPN
iajs-2683	139	23	cfnn	cfnn	NOUN
iajs-2683	139	24	training4	training4	VERB
iajs-2683	139	25	the	the	DET
iajs-2683	139	26	four	four	NUM
iajs-2683	139	27	cfnn	cfnn	NOUN
iajs-2683	139	28	training	training	NOUN
iajs-2683	139	29	are	be	AUX
iajs-2683	139	30	collected	collect	VERB
iajs-2683	139	31	in	in	ADP
iajs-2683	139	32	one	one	NUM
iajs-2683	139	33	programming	programming	NOUN
iajs-2683	139	34	state	state	NOUN
iajs-2683	139	35	to	to	PART
iajs-2683	139	36	get	get	VERB
iajs-2683	139	37	all	all	DET
iajs-2683	139	38	the	the	DET
iajs-2683	139	39	target	target	NOUN
iajs-2683	139	40	solutions	solution	NOUN
iajs-2683	139	41	successfully	successfully	ADV
iajs-2683	139	42	.	.	PUNCT
iajs-2683	140	1	then	then	ADV
iajs-2683	140	2	the	the	DET
iajs-2683	140	3	final	final	ADJ
iajs-2683	140	4	models	model	NOUN
iajs-2683	140	5	of	of	ADP
iajs-2683	140	6	cfnn	cfnn	NOUN
iajs-2683	140	7	are	be	AUX
iajs-2683	140	8	stimulated	stimulate	VERB
iajs-2683	140	9	their	their	PRON
iajs-2683	140	10	results	result	NOUN
iajs-2683	140	11	to	to	PART
iajs-2683	140	12	get	get	VERB
iajs-2683	140	13	the	the	DET
iajs-2683	140	14	target	target	NOUN
iajs-2683	140	15	solutions	solution	NOUN
iajs-2683	140	16	of	of	ADP
iajs-2683	140	17	vie	vie	PROPN
iajs-2683	140	18	,	,	PUNCT
iajs-2683	140	19	the	the	DET
iajs-2683	140	20	algorithm	algorithm	NOUN
iajs-2683	140	21	of	of	ADP
iajs-2683	140	22	the	the	DET
iajs-2683	140	23	proposed	propose	VERB
iajs-2683	140	24	model	model	NOUN
iajs-2683	140	25	of	of	ADP
iajs-2683	140	26	testing	testing	NOUN
iajs-2683	140	27	process	process	NOUN
iajs-2683	140	28	can	can	AUX
iajs-2683	140	29	be	be	AUX
iajs-2683	140	30	seen	see	VERB
iajs-2683	140	31	in	in	ADP
iajs-2683	140	32	algorithm	algorithm	NOUN
iajs-2683	140	33	(	(	PUNCT
iajs-2683	140	34	4	4	NUM
iajs-2683	140	35	)	)	PUNCT
iajs-2683	140	36	.	.	PUNCT
iajs-2683	141	1	algorithm4	algorithm4	NOUN
iajs-2683	141	2	:	:	PUNCT
iajs-2683	141	3	testing	testing	NOUN
iajs-2683	141	4	process	process	NOUN
iajs-2683	141	5	input	input	NOUN
iajs-2683	141	6	:	:	PUNCT
iajs-2683	141	7	cell	cell	NOUN
iajs-2683	141	8	of	of	ADP
iajs-2683	141	9	cfnns	cfnns	PROPN
iajs-2683	141	10	model	model	PROPN
iajs-2683	141	11	output	output	NOUN
iajs-2683	141	12	:	:	PUNCT
iajs-2683	141	13	solutions	solution	NOUN
iajs-2683	141	14	of	of	ADP
iajs-2683	141	15	vie	vie	PROPN
iajs-2683	141	16	--------------------------------------------------------------------	--------------------------------------------------------------------	PROPN
iajs-2683	141	17	step1	step1	PROPN
iajs-2683	141	18	.	.	PUNCT
iajs-2683	142	1	input	input	VERB
iajs-2683	142	2	any	any	DET
iajs-2683	142	3	value	value	NOUN
iajs-2683	142	4	from	from	ADP
iajs-2683	142	5	[	[	X
iajs-2683	142	6	1	1	NUM
iajs-2683	142	7	..	..	SYM
iajs-2683	142	8	20	20	NUM
iajs-2683	142	9	]	]	X
iajs-2683	142	10	step2	step2	PROPN
iajs-2683	142	11	.	.	PROPN
iajs-2683	143	1	return	return	VERB
iajs-2683	143	2	the	the	DET
iajs-2683	143	3	vector	vector	NOUN
iajs-2683	143	4	of	of	ADP
iajs-2683	143	5	mean	mean	NOUN
iajs-2683	143	6	of	of	ADP
iajs-2683	143	7	vie	vie	PROPN
iajs-2683	143	8	of	of	ADP
iajs-2683	143	9	the	the	DET
iajs-2683	143	10	same	same	ADJ
iajs-2683	143	11	input	input	NOUN
iajs-2683	143	12	value	value	NOUN
iajs-2683	143	13	step3	step3	PROPN
iajs-2683	143	14	.	.	PUNCT
iajs-2683	144	1	call	call	VERB
iajs-2683	144	2	cfnns	cfnns	PROPN
iajs-2683	144	3	cell	cell	NOUN
iajs-2683	144	4	.	.	PUNCT
iajs-2683	145	1	step4	step4	PROPN
iajs-2683	145	2	.	.	PUNCT
iajs-2683	146	1	simulate	simulate	VERB
iajs-2683	146	2	nets	net	NOUN
iajs-2683	146	3	of	of	ADP
iajs-2683	146	4	cfnns	cfnns	ADJ
iajs-2683	146	5	cell	cell	NOUN
iajs-2683	146	6	with	with	ADP
iajs-2683	146	7	input	input	NOUN
iajs-2683	146	8	value	value	NOUN
iajs-2683	146	9	as	as	ADP
iajs-2683	146	10	following	follow	VERB
iajs-2683	146	11	:	:	PUNCT
iajs-2683	146	12			ADJ
iajs-2683	146	13	if	if	SCONJ
iajs-2683	146	14	result	result	NOUN
iajs-2683	146	15	of	of	ADP
iajs-2683	146	16	net-1	net-1	PUNCT
iajs-2683	146	17	equal	equal	VERB
iajs-2683	146	18	the	the	DET
iajs-2683	146	19	input	input	NOUN
iajs-2683	146	20	value	value	NOUN
iajs-2683	146	21	,	,	PUNCT
iajs-2683	146	22	the	the	DET
iajs-2683	146	23	solution	solution	NOUN
iajs-2683	146	24	of	of	ADP
iajs-2683	146	25	vie	vie	PROPN
iajs-2683	146	26	return	return	NOUN
iajs-2683	146	27	and	and	CCONJ
iajs-2683	146	28	go	go	VERB
iajs-2683	146	29	to	to	ADP
iajs-2683	146	30	the	the	DET
iajs-2683	146	31	5	5	NUM
iajs-2683	146	32	step	step	NOUN
iajs-2683	146	33	.	.	PUNCT
iajs-2683	147	1			VERB
iajs-2683	147	2	if	if	SCONJ
iajs-2683	147	3	result	result	NOUN
iajs-2683	147	4	of	of	ADP
iajs-2683	147	5	net-2	net-2	NOUN
iajs-2683	147	6	equal	equal	VERB
iajs-2683	147	7	the	the	DET
iajs-2683	147	8	input	input	NOUN
iajs-2683	147	9	value	value	NOUN
iajs-2683	147	10	,	,	PUNCT
iajs-2683	147	11	the	the	DET
iajs-2683	147	12	solution	solution	NOUN
iajs-2683	147	13	of	of	ADP
iajs-2683	147	14	vie	vie	PROPN
iajs-2683	147	15	return	return	NOUN
iajs-2683	147	16	and	and	CCONJ
iajs-2683	147	17	go	go	VERB
iajs-2683	147	18	to	to	ADP
iajs-2683	147	19	the	the	DET
iajs-2683	147	20	5	5	NUM
iajs-2683	147	21	step	step	NOUN
iajs-2683	147	22	.	.	PUNCT
iajs-2683	148	1			VERB
iajs-2683	148	2	if	if	SCONJ
iajs-2683	148	3	result	result	NOUN
iajs-2683	148	4	of	of	ADP
iajs-2683	148	5	net-3	net-3	PUNCT
iajs-2683	148	6	equal	equal	VERB
iajs-2683	148	7	the	the	DET
iajs-2683	148	8	input	input	NOUN
iajs-2683	148	9	value	value	NOUN
iajs-2683	148	10	,	,	PUNCT
iajs-2683	148	11	the	the	DET
iajs-2683	148	12	solution	solution	NOUN
iajs-2683	148	13	of	of	ADP
iajs-2683	148	14	vie	vie	PROPN
iajs-2683	148	15	return	return	NOUN
iajs-2683	148	16	and	and	CCONJ
iajs-2683	148	17	go	go	VERB
iajs-2683	148	18	to	to	ADP
iajs-2683	148	19	the	the	DET
iajs-2683	148	20	5	5	NUM
iajs-2683	148	21	step	step	NOUN
iajs-2683	148	22	.	.	PUNCT
iajs-2683	149	1	ibn	ibn	PROPN
iajs-2683	149	2	al	al	PROPN
iajs-2683	149	3	-	-	PUNCT
iajs-2683	149	4	haitham	haitham	PROPN
iajs-2683	149	5	jour	jour	X
iajs-2683	149	6	.	.	PROPN
iajs-2683	149	7	for	for	ADP
iajs-2683	149	8	pure	pure	ADJ
iajs-2683	149	9	&	&	CCONJ
iajs-2683	149	10	appl	appl	PROPN
iajs-2683	149	11	.	.	PUNCT
iajs-2683	150	1	sci	sci	PROPN
iajs-2683	150	2	.	.	PROPN
iajs-2683	151	1	34(3)2021	34(3)2021	NUM
iajs-2683	151	2	113	113	NUM
iajs-2683	151	3			ADJ
iajs-2683	151	4	if	if	SCONJ
iajs-2683	151	5	result	result	NOUN
iajs-2683	151	6	of	of	ADP
iajs-2683	151	7	net-4	net-4	PUNCT
iajs-2683	151	8	equal	equal	ADJ
iajs-2683	151	9	the	the	DET
iajs-2683	151	10	input	input	NOUN
iajs-2683	151	11	value	value	NOUN
iajs-2683	151	12	,	,	PUNCT
iajs-2683	151	13	the	the	DET
iajs-2683	151	14	solution	solution	NOUN
iajs-2683	151	15	of	of	ADP
iajs-2683	151	16	vie	vie	PROPN
iajs-2683	151	17	return	return	NOUN
iajs-2683	151	18	and	and	CCONJ
iajs-2683	151	19	go	go	VERB
iajs-2683	151	20	to	to	ADP
iajs-2683	151	21	the	the	DET
iajs-2683	151	22	5	5	NUM
iajs-2683	151	23	step	step	NOUN
iajs-2683	151	24	.	.	PUNCT
iajs-2683	152	1	step5	step5	PROPN
iajs-2683	152	2	.	.	PUNCT
iajs-2683	153	1	get	get	VERB
iajs-2683	153	2	the	the	DET
iajs-2683	153	3	solution	solution	NOUN
iajs-2683	153	4	of	of	ADP
iajs-2683	153	5	vie	vie	PROPN
iajs-2683	153	6	for	for	ADP
iajs-2683	153	7	this	this	DET
iajs-2683	153	8	value	value	NOUN
iajs-2683	153	9	.	.	PUNCT
iajs-2683	154	1	5.2.performance	5.2.performance	NUM
iajs-2683	154	2	measures	measure	VERB
iajs-2683	154	3	this	this	DET
iajs-2683	154	4	paper	paper	NOUN
iajs-2683	154	5	shows	show	VERB
iajs-2683	154	6	the	the	DET
iajs-2683	154	7	efficiency	efficiency	NOUN
iajs-2683	154	8	of	of	ADP
iajs-2683	154	9	cfnn	cfnn	NOUN
iajs-2683	154	10	in	in	SCONJ
iajs-2683	154	11	obtain	obtain	VERB
iajs-2683	154	12	the	the	DET
iajs-2683	154	13	target	target	NOUN
iajs-2683	154	14	solution	solution	NOUN
iajs-2683	154	15	of	of	ADP
iajs-2683	154	16	vie	vie	NOUN
iajs-2683	154	17	by	by	ADP
iajs-2683	154	18	measuring	measure	VERB
iajs-2683	154	19	the	the	DET
iajs-2683	154	20	performance	performance	NOUN
iajs-2683	154	21	of	of	ADP
iajs-2683	154	22	cfnn	cfnn	NOUN
iajs-2683	154	23	model	model	NOUN
iajs-2683	154	24	to	to	PART
iajs-2683	154	25	test	test	VERB
iajs-2683	154	26	their	their	PRON
iajs-2683	154	27	work	work	NOUN
iajs-2683	154	28	,	,	PUNCT
iajs-2683	154	29	mse	mse	PROPN
iajs-2683	154	30	used	use	VERB
iajs-2683	154	31	to	to	PART
iajs-2683	154	32	measure	measure	VERB
iajs-2683	154	33	the	the	DET
iajs-2683	154	34	quality	quality	NOUN
iajs-2683	154	35	of	of	ADP
iajs-2683	154	36	neural	neural	ADJ
iajs-2683	154	37	network	network	NOUN
iajs-2683	154	38	,	,	PUNCT
iajs-2683	154	39	the	the	DET
iajs-2683	154	40	mse	mse	NOUN
iajs-2683	154	41	of	of	ADP
iajs-2683	154	42	training	train	VERB
iajs-2683	154	43	cfnn	cfnn	NOUN
iajs-2683	154	44	for	for	ADP
iajs-2683	154	45	four	four	NUM
iajs-2683	154	46	training	training	NOUN
iajs-2683	154	47	attempts	attempt	NOUN
iajs-2683	154	48	appear	appear	VERB
iajs-2683	154	49	in	in	ADP
iajs-2683	154	50	table	table	NOUN
iajs-2683	154	51	(	(	PUNCT
iajs-2683	154	52	1	1	NUM
iajs-2683	154	53	)	)	PUNCT
iajs-2683	154	54	.	.	PUNCT
iajs-2683	155	1	table	table	NOUN
iajs-2683	155	2	(	(	PUNCT
iajs-2683	155	3	1	1	X
iajs-2683	155	4	)	)	PUNCT
iajs-2683	155	5	the	the	DET
iajs-2683	155	6	results	result	NOUN
iajs-2683	155	7	of	of	ADP
iajs-2683	155	8	training	train	VERB
iajs-2683	155	9	cfnn	cfnn	NOUN
iajs-2683	155	10	for	for	ADP
iajs-2683	155	11	four	four	NUM
iajs-2683	155	12	attempts	attempt	NOUN
iajs-2683	155	13	no	no	INTJ
iajs-2683	155	14	.	.	PUNCT
iajs-2683	155	15	of	of	ADP
iajs-2683	155	16	training	training	NOUN
iajs-2683	155	17	attempt	attempt	NOUN
iajs-2683	155	18	mse	mse	NOUN
iajs-2683	155	19	1	1	NUM
iajs-2683	155	20	0.0293	0.0293	NUM
iajs-2683	155	21	2	2	NUM
iajs-2683	155	22	0.0445	0.0445	NUM
iajs-2683	155	23	3	3	NUM
iajs-2683	155	24	0.0165	0.0165	NUM
iajs-2683	155	25	4	4	NUM
iajs-2683	155	26	0.0227	0.0227	NUM
iajs-2683	155	27	this	this	DET
iajs-2683	155	28	method	method	NOUN
iajs-2683	155	29	can	can	AUX
iajs-2683	155	30	calculate	calculate	VERB
iajs-2683	155	31	the	the	DET
iajs-2683	155	32	best	good	ADJ
iajs-2683	155	33	validation	validation	NOUN
iajs-2683	155	34	performance	performance	NOUN
iajs-2683	155	35	of	of	ADP
iajs-2683	155	36	each	each	DET
iajs-2683	155	37	cfnn	cfnn	NOUN
iajs-2683	155	38	training	training	NOUN
iajs-2683	155	39	by	by	ADP
iajs-2683	155	40	extracting	extract	VERB
iajs-2683	155	41	the	the	DET
iajs-2683	155	42	mse	mse	NOUN
iajs-2683	155	43	for	for	ADP
iajs-2683	155	44	each	each	DET
iajs-2683	155	45	iterations	iteration	NOUN
iajs-2683	155	46	of	of	ADP
iajs-2683	155	47	cfnn	cfnn	NOUN
iajs-2683	155	48	training	training	NOUN
iajs-2683	155	49	,	,	PUNCT
iajs-2683	155	50	this	this	DET
iajs-2683	155	51	process	process	NOUN
iajs-2683	155	52	calculates	calculate	VERB
iajs-2683	155	53	for	for	ADP
iajs-2683	155	54	four	four	NUM
iajs-2683	155	55	cfnn	cfnn	NOUN
iajs-2683	155	56	training	training	NOUN
iajs-2683	155	57	,	,	PUNCT
iajs-2683	155	58	the	the	DET
iajs-2683	155	59	best	good	ADJ
iajs-2683	155	60	value	value	NOUN
iajs-2683	155	61	of	of	ADP
iajs-2683	155	62	validation	validation	NOUN
iajs-2683	155	63	performance	performance	NOUN
iajs-2683	155	64	obtained	obtain	VERB
iajs-2683	155	65	for	for	ADP
iajs-2683	155	66	four	four	NUM
iajs-2683	155	67	cfnns	cfnn	NOUN
iajs-2683	155	68	training	training	NOUN
iajs-2683	155	69	shown	show	VERB
iajs-2683	155	70	in	in	ADP
iajs-2683	155	71	figure	figure	NOUN
iajs-2683	155	72	(	(	PUNCT
iajs-2683	155	73	5	5	NUM
iajs-2683	155	74	)	)	PUNCT
iajs-2683	155	75	,	,	PUNCT
iajs-2683	155	76	this	this	DET
iajs-2683	155	77	figure	figure	NOUN
iajs-2683	155	78	contains	contain	VERB
iajs-2683	155	79	chart	chart	NOUN
iajs-2683	155	80	for	for	SCONJ
iajs-2683	155	81	each	each	DET
iajs-2683	155	82	cfnn	cfnn	NOUN
iajs-2683	155	83	describes	describe	VERB
iajs-2683	155	84	the	the	DET
iajs-2683	155	85	relation	relation	NOUN
iajs-2683	155	86	between	between	ADP
iajs-2683	155	87	the	the	DET
iajs-2683	155	88	number	number	NOUN
iajs-2683	155	89	of	of	ADP
iajs-2683	155	90	iteration	iteration	NOUN
iajs-2683	155	91	and	and	CCONJ
iajs-2683	155	92	mse	mse	NOUN
iajs-2683	155	93	for	for	ADP
iajs-2683	155	94	cfnn	cfnn	NOUN
iajs-2683	155	95	training	training	NOUN
iajs-2683	155	96	.	.	PUNCT
iajs-2683	156	1	after	after	ADP
iajs-2683	156	2	four	four	NUM
iajs-2683	156	3	cfnn	cfnn	NOUN
iajs-2683	156	4	training	training	NOUN
iajs-2683	156	5	attempts	attempt	NOUN
iajs-2683	156	6	,	,	PUNCT
iajs-2683	156	7	all	all	DET
iajs-2683	156	8	the	the	DET
iajs-2683	156	9	target	target	NOUN
iajs-2683	156	10	output	output	NOUN
iajs-2683	156	11	would	would	AUX
iajs-2683	156	12	have	have	AUX
iajs-2683	156	13	been	be	AUX
iajs-2683	156	14	returned	return	VERB
iajs-2683	156	15	exactly	exactly	ADV
iajs-2683	156	16	,	,	PUNCT
iajs-2683	156	17	thus	thus	ADV
iajs-2683	156	18	the	the	DET
iajs-2683	156	19	training	training	NOUN
iajs-2683	156	20	process	process	NOUN
iajs-2683	156	21	will	will	AUX
iajs-2683	156	22	be	be	AUX
iajs-2683	156	23	stopped	stop	VERB
iajs-2683	156	24	and	and	CCONJ
iajs-2683	156	25	save	save	VERB
iajs-2683	156	26	cfnns	cfnn	NOUN
iajs-2683	156	27	.	.	PUNCT
iajs-2683	157	1	ibn	ibn	PROPN
iajs-2683	157	2	al	al	PROPN
iajs-2683	157	3	-	-	PUNCT
iajs-2683	157	4	haitham	haitham	PROPN
iajs-2683	157	5	jour	jour	X
iajs-2683	157	6	.	.	PROPN
iajs-2683	157	7	for	for	ADP
iajs-2683	157	8	pure	pure	ADJ
iajs-2683	157	9	&	&	CCONJ
iajs-2683	157	10	appl	appl	PROPN
iajs-2683	157	11	.	.	PUNCT
iajs-2683	158	1	sci	sci	PROPN
iajs-2683	158	2	.	.	PROPN
iajs-2683	159	1	34(3)2021	34(3)2021	NUM
iajs-2683	159	2	114	114	NUM
iajs-2683	159	3	a.	a.	NOUN
iajs-2683	159	4	performance	performance	NOUN
iajs-2683	159	5	of	of	ADP
iajs-2683	159	6	cfnn1	cfnn1	PROPN
iajs-2683	159	7	b.	b.	PROPN
iajs-2683	159	8	performance	performance	NOUN
iajs-2683	159	9	of	of	ADP
iajs-2683	159	10	cfnn2	cfnn2	NOUN
iajs-2683	159	11	c.	c.	NOUN
iajs-2683	159	12	performance	performance	NOUN
iajs-2683	159	13	of	of	ADP
iajs-2683	159	14	cfnn3	cfnn3	PROPN
iajs-2683	159	15	d.	d.	PROPN
iajs-2683	159	16	performance	performance	NOUN
iajs-2683	159	17	of	of	ADP
iajs-2683	159	18	cfnn4	cfnn4	ADJ
iajs-2683	159	19	figure	figure	NOUN
iajs-2683	159	20	(	(	PUNCT
iajs-2683	159	21	5	5	NUM
iajs-2683	159	22	)	)	PUNCT
iajs-2683	159	23	performance	performance	NOUN
iajs-2683	159	24	of	of	ADP
iajs-2683	159	25	cfnn	cfnn	NOUN
iajs-2683	159	26	for	for	ADP
iajs-2683	159	27	four	four	NUM
iajs-2683	159	28	training	training	NOUN
iajs-2683	159	29	networks	network	NOUN
iajs-2683	159	30	:	:	PUNCT
iajs-2683	159	31	a.	a.	NOUN
iajs-2683	159	32	performance	performance	NOUN
iajs-2683	159	33	of	of	ADP
iajs-2683	159	34	cfnn1	cfnn1	PROPN
iajs-2683	159	35	,	,	PUNCT
iajs-2683	159	36	b.	b.	PROPN
iajs-2683	159	37	performance	performance	NOUN
iajs-2683	159	38	of	of	ADP
iajs-2683	159	39	cfnn2	cfnn2	PROPN
iajs-2683	159	40	,	,	PUNCT
iajs-2683	159	41	c.	c.	NOUN
iajs-2683	159	42	performance	performance	NOUN
iajs-2683	159	43	of	of	ADP
iajs-2683	159	44	cfnn3	cfnn3	PROPN
iajs-2683	159	45	,	,	PUNCT
iajs-2683	159	46	d.	d.	PROPN
iajs-2683	159	47	performance	performance	NOUN
iajs-2683	159	48	of	of	ADP
iajs-2683	159	49	cfnn4	cfnn4	ADJ
iajs-2683	159	50	6	6	NUM
iajs-2683	159	51	.	.	PUNCT
iajs-2683	160	1	conclusions	conclusion	NOUN
iajs-2683	160	2	this	this	DET
iajs-2683	160	3	paper	paper	NOUN
iajs-2683	160	4	used	use	VERB
iajs-2683	160	5	a	a	DET
iajs-2683	160	6	proposed	propose	VERB
iajs-2683	160	7	technique	technique	NOUN
iajs-2683	160	8	for	for	ADP
iajs-2683	160	9	getting	get	VERB
iajs-2683	160	10	volterra	volterra	ADJ
iajs-2683	160	11	integral	integral	ADJ
iajs-2683	160	12	equations	equation	NOUN
iajs-2683	160	13	(	(	PUNCT
iajs-2683	160	14	vie	vie	NOUN
iajs-2683	160	15	)	)	PUNCT
iajs-2683	160	16	solutions	solution	NOUN
iajs-2683	160	17	by	by	ADP
iajs-2683	160	18	useing	use	VERB
iajs-2683	160	19	cascade	cascade	NOUN
iajs-2683	160	20	-	-	PUNCT
iajs-2683	160	21	forward	forward	NOUN
iajs-2683	160	22	neural	neural	ADJ
iajs-2683	160	23	network	network	NOUN
iajs-2683	160	24	model	model	NOUN
iajs-2683	160	25	.	.	PUNCT
iajs-2683	161	1	cfnn	cfnn	NOUN
iajs-2683	161	2	would	would	AUX
iajs-2683	161	3	have	have	AUX
iajs-2683	161	4	been	be	AUX
iajs-2683	161	5	built	build	VERB
iajs-2683	161	6	to	to	PART
iajs-2683	161	7	simulate	simulate	VERB
iajs-2683	161	8	vie	vie	PROPN
iajs-2683	161	9	solutions	solution	NOUN
iajs-2683	161	10	,	,	PUNCT
iajs-2683	161	11	cfnn	cfnn	NOUN
iajs-2683	161	12	represents	represent	VERB
iajs-2683	161	13	an	an	DET
iajs-2683	161	14	appropriate	appropriate	ADJ
iajs-2683	161	15	network	network	NOUN
iajs-2683	161	16	to	to	PART
iajs-2683	161	17	solve	solve	VERB
iajs-2683	161	18	integral	integral	ADJ
iajs-2683	161	19	equation	equation	NOUN
iajs-2683	161	20	because	because	SCONJ
iajs-2683	161	21	its	its	PRON
iajs-2683	161	22	structures	structure	NOUN
iajs-2683	161	23	is	be	AUX
iajs-2683	161	24	nonlinear	nonlinear	ADJ
iajs-2683	161	25	and	and	CCONJ
iajs-2683	161	26	nonparametric	nonparametric	NOUN
iajs-2683	161	27	,	,	PUNCT
iajs-2683	161	28	thus	thus	ADV
iajs-2683	161	29	makes	make	VERB
iajs-2683	161	30	it	it	PRON
iajs-2683	161	31	more	more	ADV
iajs-2683	161	32	flexible	flexible	ADJ
iajs-2683	161	33	to	to	PART
iajs-2683	161	34	get	get	VERB
iajs-2683	161	35	the	the	DET
iajs-2683	161	36	predictions	prediction	NOUN
iajs-2683	161	37	of	of	ADP
iajs-2683	161	38	time	time	NOUN
iajs-2683	161	39	series	series	NOUN
iajs-2683	161	40	.	.	PUNCT
iajs-2683	162	1	in	in	ADP
iajs-2683	162	2	this	this	DET
iajs-2683	162	3	work	work	NOUN
iajs-2683	162	4	,	,	PUNCT
iajs-2683	162	5	cfnn	cfnn	NOUN
iajs-2683	162	6	is	be	AUX
iajs-2683	162	7	trained	train	VERB
iajs-2683	162	8	four	four	NUM
iajs-2683	162	9	times	time	NOUN
iajs-2683	162	10	to	to	PART
iajs-2683	162	11	get	get	VERB
iajs-2683	162	12	the	the	DET
iajs-2683	162	13	target	target	NOUN
iajs-2683	162	14	results	result	NOUN
iajs-2683	162	15	with	with	ADP
iajs-2683	162	16	the	the	DET
iajs-2683	162	17	best	good	ADJ
iajs-2683	162	18	performance	performance	NOUN
iajs-2683	162	19	,	,	PUNCT
iajs-2683	162	20	then	then	ADV
iajs-2683	162	21	get	get	VERB
iajs-2683	162	22	the	the	DET
iajs-2683	162	23	results	result	NOUN
iajs-2683	162	24	of	of	ADP
iajs-2683	162	25	cfnns	cfnns	ADJ
iajs-2683	162	26	training	training	NOUN
iajs-2683	162	27	models	model	NOUN
iajs-2683	162	28	to	to	PART
iajs-2683	162	29	be	be	AUX
iajs-2683	162	30	in	in	ADP
iajs-2683	162	31	one	one	NUM
iajs-2683	162	32	cfnn	cfnn	NOUN
iajs-2683	162	33	simulation	simulation	NOUN
iajs-2683	162	34	model	model	NOUN
iajs-2683	162	35	for	for	ADP
iajs-2683	162	36	simulating	simulate	VERB
iajs-2683	162	37	values	value	NOUN
iajs-2683	162	38	of	of	ADP
iajs-2683	162	39	vie	vie	PROPN
iajs-2683	162	40	solutions	solution	NOUN
iajs-2683	162	41	.	.	PUNCT
iajs-2683	163	1	in	in	ADP
iajs-2683	163	2	this	this	DET
iajs-2683	163	3	method	method	NOUN
iajs-2683	163	4	exceeding	exceed	VERB
iajs-2683	163	5	the	the	DET
iajs-2683	163	6	training	training	NOUN
iajs-2683	163	7	errors	error	NOUN
iajs-2683	163	8	in	in	ADP
iajs-2683	163	9	output	output	NOUN
iajs-2683	163	10	result	result	NOUN
iajs-2683	163	11	,	,	PUNCT
iajs-2683	163	12	so	so	ADV
iajs-2683	163	13	the	the	DET
iajs-2683	163	14	simulation	simulation	NOUN
iajs-2683	163	15	process	process	NOUN
iajs-2683	163	16	of	of	ADP
iajs-2683	163	17	cfnn	cfnn	NOUN
iajs-2683	163	18	with	with	ADP
iajs-2683	163	19	values	value	NOUN
iajs-2683	163	20	of	of	ADP
iajs-2683	163	21	vie	vie	PROPN
iajs-2683	163	22	would	would	AUX
iajs-2683	163	23	been	be	AUX
iajs-2683	163	24	more	more	ADJ
iajs-2683	163	25	reliability	reliability	NOUN
iajs-2683	163	26	.	.	PUNCT
iajs-2683	164	1	cfnn	cfnn	NOUN
iajs-2683	164	2	model	model	NOUN
iajs-2683	164	3	that	that	PRON
iajs-2683	164	4	is	be	AUX
iajs-2683	164	5	proposed	propose	VERB
iajs-2683	164	6	in	in	ADP
iajs-2683	164	7	this	this	DET
iajs-2683	164	8	search	search	NOUN
iajs-2683	164	9	can	can	AUX
iajs-2683	164	10	simulate	simulate	VERB
iajs-2683	164	11	more	more	ADJ
iajs-2683	164	12	values	value	NOUN
iajs-2683	164	13	of	of	ADP
iajs-2683	164	14	vie	vie	PROPN
iajs-2683	164	15	that	that	SCONJ
iajs-2683	164	16	training	training	NOUN
iajs-2683	164	17	on	on	ADP
iajs-2683	164	18	it	it	PRON
iajs-2683	164	19	with	with	ADP
iajs-2683	164	20	no	no	DET
iajs-2683	164	21	errors	error	NOUN
iajs-2683	164	22	percentage	percentage	NOUN
iajs-2683	164	23	because	because	SCONJ
iajs-2683	164	24	cfnn	cfnn	NOUN
iajs-2683	164	25	is	be	AUX
iajs-2683	164	26	trained	train	VERB
iajs-2683	164	27	multi	multi	ADJ
iajs-2683	164	28	times	time	NOUN
iajs-2683	164	29	until	until	SCONJ
iajs-2683	164	30	the	the	DET
iajs-2683	164	31	target	target	NOUN
iajs-2683	164	32	results	result	NOUN
iajs-2683	164	33	would	would	AUX
iajs-2683	164	34	be	be	AUX
iajs-2683	164	35	getting	get	VERB
iajs-2683	164	36	,	,	PUNCT
iajs-2683	164	37	then	then	ADV
iajs-2683	164	38	all	all	DET
iajs-2683	164	39	the	the	DET
iajs-2683	164	40	cfnns	cfnns	ADJ
iajs-2683	164	41	training	training	NOUN
iajs-2683	164	42	combined	combine	VERB
iajs-2683	164	43	to	to	PART
iajs-2683	164	44	be	be	AUX
iajs-2683	164	45	one	one	NUM
iajs-2683	164	46	cfnn	cfnn	NOUN
iajs-2683	164	47	model	model	NOUN
iajs-2683	164	48	in	in	ADP
iajs-2683	164	49	simulation	simulation	NOUN
iajs-2683	164	50	process	process	NOUN
iajs-2683	164	51	.	.	PUNCT
iajs-2683	165	1	thus	thus	ADV
iajs-2683	165	2	the	the	DET
iajs-2683	165	3	results	result	NOUN
iajs-2683	165	4	of	of	ADP
iajs-2683	165	5	the	the	DET
iajs-2683	165	6	proposed	propose	VERB
iajs-2683	165	7	method	method	NOUN
iajs-2683	165	8	appeared	appear	VERB
iajs-2683	165	9	that	that	SCONJ
iajs-2683	165	10	cfnn	cfnn	PROPN
iajs-2683	165	11	model	model	NOUN
iajs-2683	165	12	simulated	simulate	VERB
iajs-2683	165	13	the	the	DET
iajs-2683	165	14	values	value	NOUN
iajs-2683	165	15	of	of	ADP
iajs-2683	165	16	vie	vie	PROPN
iajs-2683	165	17	solutions	solution	NOUN
iajs-2683	165	18	with	with	ADP
iajs-2683	165	19	100	100	NUM
iajs-2683	165	20	%	%	NOUN
iajs-2683	165	21	percentage	percentage	NOUN
iajs-2683	165	22	.	.	PUNCT
iajs-2683	166	1	7.acknowledgment	7.acknowledgment	NUM
iajs-2683	166	2	i	i	PRON
iajs-2683	166	3	would	would	AUX
iajs-2683	166	4	like	like	VERB
iajs-2683	166	5	to	to	PART
iajs-2683	166	6	thank	thank	VERB
iajs-2683	166	7	the	the	DET
iajs-2683	166	8	university	university	NOUN
iajs-2683	166	9	that	that	PRON
iajs-2683	166	10	facilitated	facilitate	VERB
iajs-2683	166	11	the	the	DET
iajs-2683	166	12	task	task	NOUN
iajs-2683	166	13	of	of	ADP
iajs-2683	166	14	researcher	researcher	NOUN
iajs-2683	166	15	prepared	prepare	VERB
iajs-2683	166	16	for	for	ADP
iajs-2683	166	17	the	the	DET
iajs-2683	166	18	research	research	NOUN
iajs-2683	166	19	and	and	CCONJ
iajs-2683	166	20	affiliated	affiliate	VERB
iajs-2683	166	21	to	to	ADP
iajs-2683	166	22	it	it	PRON
iajs-2683	166	23	,	,	PUNCT
iajs-2683	166	24	which	which	PRON
iajs-2683	166	25	are	be	AUX
iajs-2683	166	26	:	:	PUNCT
iajs-2683	166	27	middle	middle	PROPN
iajs-2683	166	28	technical	technical	PROPN
iajs-2683	166	29	university	university	PROPN
iajs-2683	166	30	(	(	PUNCT
iajs-2683	166	31	www.mtu.edu.iq	www.mtu.edu.iq	PROPN
iajs-2683	166	32	)	)	PUNCT
iajs-2683	166	33	.	.	PUNCT
iajs-2683	167	1	http://www.mtu.edu.iq/	http://www.mtu.edu.iq/	PROPN
iajs-2683	167	2	ibn	ibn	PROPN
iajs-2683	167	3	al	al	PROPN
iajs-2683	167	4	-	-	PUNCT
iajs-2683	167	5	haitham	haitham	PROPN
iajs-2683	167	6	jour	jour	X
iajs-2683	167	7	.	.	PROPN
iajs-2683	167	8	for	for	ADP
iajs-2683	167	9	pure	pure	ADJ
iajs-2683	167	10	&	&	CCONJ
iajs-2683	167	11	appl	appl	PROPN
iajs-2683	167	12	.	.	PUNCT
iajs-2683	168	1	sci	sci	PROPN
iajs-2683	168	2	.	.	PROPN
iajs-2683	169	1	34(3)2021	34(3)2021	NUM
iajs-2683	169	2	115	115	NUM
iajs-2683	169	3	references	reference	NOUN
iajs-2683	169	4	1	1	NUM
iajs-2683	169	5	.	.	PUNCT
iajs-2683	169	6	aigo	aigo	PROPN
iajs-2683	169	7	mu	mu	PROPN
iajs-2683	169	8	.	.	PUNCT
iajs-2683	170	1	on	on	ADP
iajs-2683	170	2	the	the	DET
iajs-2683	170	3	numerical	numerical	ADJ
iajs-2683	170	4	approximation	approximation	NOUN
iajs-2683	170	5	of	of	ADP
iajs-2683	170	6	volterra	volterra	PROPN
iajs-2683	170	7	integral	integral	ADJ
iajs-2683	170	8	equations	equation	NOUN
iajs-2683	170	9	of	of	ADP
iajs-2683	170	10	the	the	DET
iajs-2683	170	11	second	second	ADJ
iajs-2683	170	12	kind	kind	NOUN
iajs-2683	170	13	using	use	VERB
iajs-2683	170	14	quadrature	quadrature	NOUN
iajs-2683	170	15	rules	rule	NOUN
iajs-2683	170	16	,	,	PUNCT
iajs-2683	170	17	international	international	ADJ
iajs-2683	170	18	journal	journal	NOUN
iajs-2683	170	19	of	of	ADP
iajs-2683	170	20	advanced	advanced	ADJ
iajs-2683	170	21	scientific	scientific	ADJ
iajs-2683	170	22	and	and	CCONJ
iajs-2683	170	23	technological	technological	ADJ
iajs-2683	170	24	research	research	NOUN
iajs-2683	170	25	..	..	PUNCT
iajs-2683	170	26	2013,1	2013,1	NOUN
iajs-2683	170	27	,	,	PUNCT
iajs-2683	170	28	558	558	NUM
iajs-2683	170	29	-	-	SYM
iajs-2683	170	30	64	64	NUM
iajs-2683	170	31	.	.	PUNCT
iajs-2683	171	1	2	2	X
iajs-2683	171	2	.	.	X
iajs-2683	171	3	yadav	yadav	PROPN
iajs-2683	171	4	,	,	PUNCT
iajs-2683	171	5	n.	n.	PROPN
iajs-2683	171	6	;	;	PUNCT
iajs-2683	171	7	yadav	yadav	PROPN
iajs-2683	171	8	,	,	PUNCT
iajs-2683	171	9	a.	a.	PROPN
iajs-2683	171	10	;	;	PUNCT
iajs-2683	171	11	kumar	kumar	PROPN
iajs-2683	171	12	,	,	PUNCT
iajs-2683	171	13	m.	m.	NOUN
iajs-2683	171	14	an	an	DET
iajs-2683	171	15	introduction	introduction	NOUN
iajs-2683	171	16	to	to	ADP
iajs-2683	171	17	neural	neural	ADJ
iajs-2683	171	18	network	network	NOUN
iajs-2683	171	19	methods	method	NOUN
iajs-2683	171	20	for	for	ADP
iajs-2683	171	21	differential	differential	ADJ
iajs-2683	171	22	equations	equation	NOUN
iajs-2683	171	23	.	.	PUNCT
iajs-2683	172	1	netherlands	netherlands	PROPN
iajs-2683	172	2	:	:	PUNCT
iajs-2683	172	3	springer	springer	NOUN
iajs-2683	172	4	.	.	PUNCT
iajs-2683	173	1	2015	2015	NUM
iajs-2683	173	2	,	,	PUNCT
iajs-2683	173	3	e	e	X
iajs-2683	173	4	-	-	NOUN
iajs-2683	173	5	issn	issn	VERB
iajs-2683	173	6	2191	2191	NUM
iajs-2683	173	7	-	-	SYM
iajs-2683	173	8	5318	5318	NUM
iajs-2683	173	9	.	.	PUNCT
iajs-2683	174	1	3	3	X
iajs-2683	174	2	.	.	X
iajs-2683	174	3	al	al	PROPN
iajs-2683	174	4	-	-	PUNCT
iajs-2683	174	5	allaf	allaf	ADJ
iajs-2683	174	6	on	on	ADP
iajs-2683	174	7	.	.	PUNCT
iajs-2683	174	8	cascade	cascade	NOUN
iajs-2683	174	9	-	-	PUNCT
iajs-2683	174	10	forward	forward	NOUN
iajs-2683	174	11	vs.	vs.	ADP
iajs-2683	174	12	function	function	NOUN
iajs-2683	174	13	fitting	fitting	ADJ
iajs-2683	174	14	neural	neural	ADJ
iajs-2683	174	15	network	network	NOUN
iajs-2683	174	16	for	for	ADP
iajs-2683	174	17	improving	improve	VERB
iajs-2683	174	18	image	image	NOUN
iajs-2683	174	19	quality	quality	NOUN
iajs-2683	174	20	and	and	CCONJ
iajs-2683	174	21	learning	learn	VERB
iajs-2683	174	22	time	time	NOUN
iajs-2683	174	23	in	in	ADP
iajs-2683	174	24	image	image	NOUN
iajs-2683	174	25	compression	compression	NOUN
iajs-2683	174	26	system	system	NOUN
iajs-2683	174	27	.	.	PUNCT
iajs-2683	175	1	in	in	ADP
iajs-2683	175	2	proceedings	proceeding	NOUN
iajs-2683	175	3	of	of	ADP
iajs-2683	175	4	the	the	DET
iajs-2683	175	5	world	world	NOUN
iajs-2683	175	6	congress	congress	PROPN
iajs-2683	175	7	on	on	ADP
iajs-2683	175	8	engineering	engineering	NOUN
iajs-2683	175	9	.	.	PUNCT
iajs-2683	176	1	2012	2012	NUM
iajs-2683	176	2	,	,	PUNCT
iajs-2683	176	3	2	2	NUM
iajs-2683	176	4	,	,	PUNCT
iajs-2683	176	5	4	4	NUM
iajs-2683	176	6	-	-	SYM
iajs-2683	176	7	6	6	NUM
iajs-2683	176	8	.	.	NOUN
iajs-2683	176	9	4	4	NUM
iajs-2683	176	10	.	.	NOUN
iajs-2683	176	11	warsito	warsito	PROPN
iajs-2683	176	12	b	b	PROPN
iajs-2683	176	13	,	,	PUNCT
iajs-2683	176	14	santoso	santoso	NOUN
iajs-2683	176	15	r	r	PROPN
iajs-2683	176	16	,	,	PUNCT
iajs-2683	176	17	yasin	yasin	PROPN
iajs-2683	176	18	h.	h.	PROPN
iajs-2683	176	19	cascade	cascade	PROPN
iajs-2683	176	20	forward	forward	ADV
iajs-2683	176	21	neural	neural	ADJ
iajs-2683	176	22	network	network	NOUN
iajs-2683	176	23	for	for	ADP
iajs-2683	176	24	time	time	NOUN
iajs-2683	176	25	series	series	PROPN
iajs-2683	176	26	prediction	prediction	PROPN
iajs-2683	176	27	.	.	PUNCT
iajs-2683	177	1	inj	inj	PROPN
iajs-2683	177	2	.	.	PUNCT
iajs-2683	178	1	phys	phy	NOUN
iajs-2683	178	2	.	.	PUNCT
iajs-2683	178	3	conf	conf	PROPN
iajs-2683	178	4	.	.	PUNCT
iajs-2683	179	1	ser	ser	PROPN
iajs-2683	179	2	.	.	PROPN
iajs-2683	179	3	2018	2018	NUM
iajs-2683	179	4	,	,	PUNCT
iajs-2683	179	5	1025	1025	NUM
iajs-2683	179	6	,	,	PUNCT
iajs-2683	179	7	012097	012097	NUM
iajs-2683	179	8	.	.	PUNCT
iajs-2683	180	1	5	5	X
iajs-2683	180	2	.	.	X
iajs-2683	180	3	tahmasbi	tahmasbi	PROPN
iajs-2683	180	4	a.	a.	PROPN
iajs-2683	180	5	a	a	DET
iajs-2683	180	6	new	new	ADJ
iajs-2683	180	7	approach	approach	NOUN
iajs-2683	180	8	to	to	ADP
iajs-2683	180	9	the	the	DET
iajs-2683	180	10	numerical	numerical	ADJ
iajs-2683	180	11	solution	solution	NOUN
iajs-2683	180	12	of	of	ADP
iajs-2683	180	13	linear	linear	PROPN
iajs-2683	180	14	volterra	volterra	PROPN
iajs-2683	180	15	integral	integral	ADJ
iajs-2683	180	16	equations	equation	NOUN
iajs-2683	180	17	of	of	ADP
iajs-2683	180	18	the	the	DET
iajs-2683	180	19	second	second	ADJ
iajs-2683	180	20	kind	kind	NOUN
iajs-2683	180	21	.	.	PUNCT
iajs-2683	181	1	int	int	NOUN
iajs-2683	181	2	.	.	PUNCT
iajs-2683	182	1	j.	j.	PROPN
iajs-2683	182	2	contemp	contemp	PROPN
iajs-2683	182	3	.	.	PUNCT
iajs-2683	183	1	math	math	NOUN
iajs-2683	183	2	.	.	PUNCT
iajs-2683	184	1	sciences	sciences	PROPN
iajs-2683	184	2	.	.	PUNCT
iajs-2683	184	3	2008	2008	NUM
iajs-2683	184	4	.	.	PUNCT
iajs-2683	185	1	3	3	NUM
iajs-2683	185	2	,	,	PUNCT
iajs-2683	185	3	32	32	NUM
iajs-2683	185	4	,	,	PUNCT
iajs-2683	185	5	1607	1607	NUM
iajs-2683	185	6	-	-	SYM
iajs-2683	185	7	10	10	NUM
iajs-2683	185	8	.	.	PUNCT
iajs-2683	186	1	6	6	NUM
iajs-2683	186	2	.	.	X
iajs-2683	186	3	isaacson	isaacson	PROPN
iajs-2683	186	4	sa	sa	PROPN
iajs-2683	186	5	,	,	PUNCT
iajs-2683	186	6	kirby	kirby	PROPN
iajs-2683	186	7	rm	rm	PROPN
iajs-2683	186	8	.	.	PROPN
iajs-2683	186	9	numerical	numerical	PROPN
iajs-2683	186	10	solution	solution	NOUN
iajs-2683	186	11	of	of	ADP
iajs-2683	186	12	linear	linear	PROPN
iajs-2683	186	13	volterra	volterra	PROPN
iajs-2683	186	14	integral	integral	ADJ
iajs-2683	186	15	equations	equation	NOUN
iajs-2683	186	16	of	of	ADP
iajs-2683	186	17	the	the	DET
iajs-2683	186	18	second	second	ADJ
iajs-2683	186	19	kind	kind	NOUN
iajs-2683	186	20	with	with	ADP
iajs-2683	186	21	sharp	sharp	ADJ
iajs-2683	186	22	gradients	gradient	NOUN
iajs-2683	186	23	.	.	PUNCT
iajs-2683	187	1	journal	journal	NOUN
iajs-2683	187	2	of	of	ADP
iajs-2683	187	3	computational	computational	ADJ
iajs-2683	187	4	and	and	CCONJ
iajs-2683	187	5	applied	applied	ADJ
iajs-2683	187	6	mathematics	mathematic	NOUN
iajs-2683	187	7	.	.	PUNCT
iajs-2683	188	1	2011	2011	NUM
iajs-2683	188	2	,	,	PUNCT
iajs-2683	188	3	235	235	NUM
iajs-2683	188	4	,	,	PUNCT
iajs-2683	188	5	14	14	NUM
iajs-2683	188	6	,	,	PUNCT
iajs-2683	188	7	4283	4283	NUM
iajs-2683	188	8	-	-	SYM
iajs-2683	188	9	301	301	NUM
iajs-2683	188	10	.	.	PUNCT
iajs-2683	189	1	7	7	X
iajs-2683	189	2	.	.	NUM
iajs-2683	189	3	mirzaee	mirzaee	PROPN
iajs-2683	189	4	f.	f.	PROPN
iajs-2683	189	5	a	a	DET
iajs-2683	189	6	computational	computational	ADJ
iajs-2683	189	7	method	method	NOUN
iajs-2683	189	8	for	for	ADP
iajs-2683	189	9	solving	solve	VERB
iajs-2683	189	10	linear	linear	PROPN
iajs-2683	189	11	volterra	volterra	PROPN
iajs-2683	189	12	integral	integral	ADJ
iajs-2683	189	13	equations	equation	NOUN
iajs-2683	189	14	.	.	PUNCT
iajs-2683	190	1	applied	apply	VERB
iajs-2683	190	2	mathematical	mathematical	ADJ
iajs-2683	190	3	sciences	science	NOUN
iajs-2683	190	4	.	.	PUNCT
iajs-2683	190	5	2012	2012	NUM
iajs-2683	190	6	,	,	PUNCT
iajs-2683	190	7	6	6	NUM
iajs-2683	190	8	,	,	PUNCT
iajs-2683	190	9	17	17	NUM
iajs-2683	190	10	,	,	PUNCT
iajs-2683	190	11	807	807	NUM
iajs-2683	190	12	-	-	SYM
iajs-2683	190	13	14	14	NUM
iajs-2683	190	14	.	.	PUNCT
iajs-2683	191	1	8	8	NUM
iajs-2683	191	2	.	.	PUNCT
iajs-2683	192	1	rahman	rahman	PROPN
iajs-2683	192	2	ma	ma	PROPN
iajs-2683	192	3	,	,	PUNCT
iajs-2683	192	4	islam	islam	PROPN
iajs-2683	192	5	ms	ms	PROPN
iajs-2683	192	6	,	,	PUNCT
iajs-2683	192	7	alam	alam	PROPN
iajs-2683	192	8	mm	mm	PROPN
iajs-2683	192	9	.	.	PUNCT
iajs-2683	193	1	numerical	numerical	PROPN
iajs-2683	193	2	solutions	solution	NOUN
iajs-2683	193	3	of	of	ADP
iajs-2683	193	4	volterra	volterra	PROPN
iajs-2683	193	5	integral	integral	ADJ
iajs-2683	193	6	equations	equation	NOUN
iajs-2683	193	7	using	use	VERB
iajs-2683	193	8	laguerre	laguerre	NOUN
iajs-2683	193	9	polynomials	polynomial	NOUN
iajs-2683	193	10	.	.	PUNCT
iajs-2683	194	1	journal	journal	NOUN
iajs-2683	194	2	of	of	ADP
iajs-2683	194	3	scientific	scientific	ADJ
iajs-2683	194	4	research	research	NOUN
iajs-2683	194	5	.	.	PUNCT
iajs-2683	195	1	2012	2012	NUM
iajs-2683	195	2	,	,	PUNCT
iajs-2683	195	3	4	4	NUM
iajs-2683	195	4	,	,	PUNCT
iajs-2683	195	5	2	2	NUM
iajs-2683	195	6	,	,	PUNCT
iajs-2683	195	7	357	357	NUM
iajs-2683	195	8	.	.	NOUN
iajs-2683	196	1	9	9	NUM
iajs-2683	196	2	.	.	X
iajs-2683	196	3	kolk	kolk	PROPN
iajs-2683	196	4	m	m	PROPN
iajs-2683	196	5	,	,	PUNCT
iajs-2683	196	6	pedas	pedas	PROPN
iajs-2683	196	7	a.	a.	PROPN
iajs-2683	196	8	numerical	numerical	PROPN
iajs-2683	196	9	solution	solution	NOUN
iajs-2683	196	10	of	of	ADP
iajs-2683	196	11	volterra	volterra	PROPN
iajs-2683	196	12	integral	integral	ADJ
iajs-2683	196	13	equations	equation	NOUN
iajs-2683	196	14	with	with	ADP
iajs-2683	196	15	singularities	singularity	NOUN
iajs-2683	196	16	.	.	PUNCT
iajs-2683	197	1	frontiers	frontier	NOUN
iajs-2683	197	2	of	of	ADP
iajs-2683	197	3	mathematics	mathematics	PROPN
iajs-2683	197	4	in	in	ADP
iajs-2683	197	5	china	china	PROPN
iajs-2683	197	6	.	.	PUNCT
iajs-2683	198	1	2013	2013	NUM
iajs-2683	198	2	,	,	PUNCT
iajs-2683	198	3	8	8	NUM
iajs-2683	198	4	,	,	PUNCT
iajs-2683	198	5	2	2	NUM
iajs-2683	198	6	,	,	PUNCT
iajs-2683	198	7	239	239	NUM
iajs-2683	198	8	-	-	SYM
iajs-2683	198	9	59	59	NUM
iajs-2683	198	10	.	.	PUNCT
iajs-2683	199	1	10	10	NUM
iajs-2683	199	2	.	.	PUNCT
iajs-2683	199	3	costarelli	costarelli	PROPN
iajs-2683	199	4	d	d	PROPN
iajs-2683	199	5	,	,	PUNCT
iajs-2683	199	6	spigler	spigler	PROPN
iajs-2683	199	7	r.	r.	PROPN
iajs-2683	199	8	solving	solve	VERB
iajs-2683	199	9	volterra	volterra	PROPN
iajs-2683	199	10	integral	integral	ADJ
iajs-2683	199	11	equations	equation	NOUN
iajs-2683	199	12	of	of	ADP
iajs-2683	199	13	the	the	DET
iajs-2683	199	14	second	second	ADJ
iajs-2683	199	15	kind	kind	NOUN
iajs-2683	199	16	by	by	ADP
iajs-2683	199	17	sigmoidal	sigmoidal	NOUN
iajs-2683	199	18	functions	function	NOUN
iajs-2683	199	19	approximation	approximation	NOUN
iajs-2683	199	20	.	.	PUNCT
iajs-2683	200	1	the	the	DET
iajs-2683	200	2	journal	journal	NOUN
iajs-2683	200	3	of	of	ADP
iajs-2683	200	4	integral	integral	ADJ
iajs-2683	200	5	equations	equation	NOUN
iajs-2683	200	6	and	and	CCONJ
iajs-2683	200	7	applications	application	NOUN
iajs-2683	200	8	.	.	PUNCT
iajs-2683	201	1	2013	2013	NUM
iajs-2683	201	2	,	,	PUNCT
iajs-2683	201	3	25	25	NUM
iajs-2683	201	4	,	,	PUNCT
iajs-2683	201	5	2	2	NUM
iajs-2683	201	6	,	,	PUNCT
iajs-2683	201	7	193	193	NUM
iajs-2683	201	8	-	-	SYM
iajs-2683	201	9	222	222	NUM
iajs-2683	201	10	.	.	PUNCT
iajs-2683	202	1	11	11	NUM
iajs-2683	202	2	.	.	PUNCT
iajs-2683	203	1	warsito	warsito	PROPN
iajs-2683	203	2	b	b	PROPN
iajs-2683	203	3	,	,	PUNCT
iajs-2683	203	4	santoso	santoso	NOUN
iajs-2683	203	5	r	r	PROPN
iajs-2683	203	6	,	,	PUNCT
iajs-2683	203	7	yasin	yasin	PROPN
iajs-2683	203	8	h.	h.	PROPN
iajs-2683	203	9	cascade	cascade	PROPN
iajs-2683	203	10	forward	forward	ADV
iajs-2683	203	11	neural	neural	ADJ
iajs-2683	203	12	network	network	NOUN
iajs-2683	203	13	for	for	ADP
iajs-2683	203	14	time	time	NOUN
iajs-2683	203	15	series	series	PROPN
iajs-2683	203	16	prediction	prediction	PROPN
iajs-2683	203	17	.	.	PUNCT
iajs-2683	204	1	inj	inj	PROPN
iajs-2683	204	2	.	.	PUNCT
iajs-2683	205	1	phys	phy	NOUN
iajs-2683	205	2	.	.	PUNCT
iajs-2683	205	3	conf	conf	PROPN
iajs-2683	205	4	.	.	PUNCT
iajs-2683	206	1	ser	ser	PROPN
iajs-2683	206	2	.	.	PROPN
iajs-2683	206	3	2018	2018	NUM
iajs-2683	206	4	,	,	PUNCT
iajs-2683	206	5	1025	1025	NUM
iajs-2683	206	6	,	,	PUNCT
iajs-2683	206	7	012097	012097	NUM
iajs-2683	206	8	.	.	PUNCT
iajs-2683	207	1	12	12	NUM
iajs-2683	207	2	.	.	PUNCT
iajs-2683	208	1	alkhasawneh	alkhasawneh	PROPN
iajs-2683	208	2	ms	ms	PROPN
iajs-2683	208	3	,	,	PUNCT
iajs-2683	208	4	tay	tay	PROPN
iajs-2683	208	5	lt	lt	PROPN
iajs-2683	208	6	.	.	PROPN
iajs-2683	209	1	a	a	DET
iajs-2683	209	2	hybrid	hybrid	ADJ
iajs-2683	209	3	intelligent	intelligent	ADJ
iajs-2683	209	4	system	system	NOUN
iajs-2683	209	5	integrating	integrate	VERB
iajs-2683	209	6	the	the	DET
iajs-2683	209	7	cascade	cascade	NOUN
iajs-2683	209	8	forward	forward	ADV
iajs-2683	209	9	neural	neural	ADJ
iajs-2683	209	10	network	network	NOUN
iajs-2683	209	11	with	with	ADP
iajs-2683	209	12	elman	elman	PROPN
iajs-2683	209	13	neural	neural	ADJ
iajs-2683	209	14	network	network	NOUN
iajs-2683	209	15	.	.	PUNCT
iajs-2683	210	1	arabian	arabian	ADJ
iajs-2683	210	2	journal	journal	PROPN
iajs-2683	210	3	for	for	ADP
iajs-2683	210	4	science	science	NOUN
iajs-2683	210	5	and	and	CCONJ
iajs-2683	210	6	engineering	engineering	NOUN
iajs-2683	210	7	.	.	PUNCT
iajs-2683	211	1	2018	2018	NUM
iajs-2683	211	2	,	,	PUNCT
iajs-2683	211	3	43	43	NUM
iajs-2683	211	4	,	,	PUNCT
iajs-2683	211	5	12	12	NUM
iajs-2683	211	6	,	,	PUNCT
iajs-2683	211	7	6737	6737	NUM
iajs-2683	211	8	-	-	SYM
iajs-2683	211	9	49	49	NUM
iajs-2683	211	10	.	.	PUNCT
iajs-2683	212	1	13	13	NUM
iajs-2683	212	2	.	.	PUNCT
iajs-2683	213	1	yusoff	yusoff	PROPN
iajs-2683	213	2	y	y	PROPN
iajs-2683	213	3	,	,	PUNCT
iajs-2683	213	4	zain	zain	PROPN
iajs-2683	213	5	am	am	PROPN
iajs-2683	213	6	,	,	PUNCT
iajs-2683	213	7	sharif	sharif	PROPN
iajs-2683	213	8	s	s	PROPN
iajs-2683	213	9	,	,	PUNCT
iajs-2683	213	10	sallehuddin	sallehuddin	VERB
iajs-2683	213	11	r	r	PRON
iajs-2683	213	12	,	,	PUNCT
iajs-2683	213	13	ngadiman	ngadiman	PROPN
iajs-2683	213	14	ms	ms	PROPN
iajs-2683	213	15	.	.	PROPN
iajs-2683	213	16	potential	potential	PROPN
iajs-2683	213	17	ann	ann	PROPN
iajs-2683	213	18	prediction	prediction	NOUN
iajs-2683	213	19	model	model	NOUN
iajs-2683	213	20	for	for	ADP
iajs-2683	213	21	multiperformances	multiperformance	NOUN
iajs-2683	213	22	wedm	wedm	NOUN
iajs-2683	213	23	on	on	ADP
iajs-2683	213	24	inconel	inconel	NOUN
iajs-2683	213	25	718	718	NUM
iajs-2683	213	26	.	.	PUNCT
iajs-2683	213	27	neural	neural	ADJ
iajs-2683	213	28	computing	computing	NOUN
iajs-2683	213	29	and	and	CCONJ
iajs-2683	213	30	applications	application	NOUN
iajs-2683	213	31	.	.	PUNCT
iajs-2683	214	1	2018	2018	NUM
iajs-2683	214	2	,	,	PUNCT
iajs-2683	214	3	30	30	NUM
iajs-2683	214	4	,	,	PUNCT
iajs-2683	214	5	7	7	NUM
iajs-2683	214	6	,	,	PUNCT
iajs-2683	214	7	2113	2113	NUM
iajs-2683	214	8	-	-	SYM
iajs-2683	214	9	27	27	NUM
iajs-2683	214	10	.	.	PUNCT