id	sid	tid	token	lemma	pos
iajs-919	1	1	ibn	ibn	PROPN
iajs-919	1	2	alhaitham	alhaitham	NOUN
iajs-919	1	3	j.	j.	PROPN
iajs-919	2	1	fo	fo	ADP
iajs-919	2	2	r	r	NOUN
iajs-919	2	3	pure	pure	ADJ
iajs-919	2	4	&	&	CCONJ
iajs-919	2	5	appl	appl	PROPN
iajs-919	2	6	.	.	PUNCT
iajs-919	3	1	sc	sc	PROPN
iajs-919	3	2	i.	i.	PROPN
iajs-919	3	3	vo	vo	PROPN
iajs-919	4	1	l.23	l.23	PROPN
iajs-919	4	2	(	(	PUNCT
iajs-919	4	3	3	3	NUM
iajs-919	4	4	)	)	PUNCT
iajs-919	4	5	2010	2010	NUM
iajs-919	4	6	the	the	DET
iajs-919	4	7	effect	effect	NOUN
iajs-919	4	8	of	of	ADP
iajs-919	4	9	number	number	NOUN
iajs-919	4	10	of	of	ADP
iajs-919	4	11	training	training	NOUN
iajs-919	4	12	samples	sample	NOUN
iajs-919	4	13	for	for	ADP
iajs-919	4	14	artificial	artificial	ADJ
iajs-919	4	15	neural	neural	ADJ
iajs-919	4	16	network	network	NOUN
iajs-919	4	17	l.	l.	PROPN
iajs-919	4	18	n.	n.	PROPN
iajs-919	4	19	m.tawfiq	m.tawfiq	PROPN
iajs-919	4	20	,	,	PUNCT
iajs-919	4	21	m.	m.	NOUN
iajs-919	4	22	n.	n.	PROPN
iajs-919	4	23	m.tawfiq	m.tawfiq	PROPN
iajs-919	4	24	department	department	PROPN
iajs-919	4	25	of	of	ADP
iajs-919	4	26	mathematics	mathematics	PROPN
iajs-919	4	27	,	,	PUNCT
iajs-919	4	28	college	college	NOUN
iajs-919	4	29	of	of	ADP
iajs-919	4	30	education	education	NOUN
iajs-919	4	31	-	-	PUNCT
iajs-919	4	32	ibn	ibn	PROPN
iajs-919	4	33	al	al	PROPN
iajs-919	4	34	-	-	PUNCT
iajs-919	4	35	haitham	haitham	PROPN
iajs-919	4	36	,	,	PUNCT
iajs-919	4	37	university	university	NOUN
iajs-919	4	38	of	of	ADP
iajs-919	4	39	baghdad	baghdad	PROPN
iajs-919	4	40	.	.	PUNCT
iajs-919	5	1	abstract	abstract	ADJ
iajs-919	5	2	in	in	ADP
iajs-919	5	3	this	this	DET
iajs-919	5	4	paper	paper	NOUN
iajs-919	5	5	we	we	PRON
iajs-919	5	6	study	study	VERB
iajs-919	5	7	the	the	DET
iajs-919	5	8	effect	effect	NOUN
iajs-919	5	9	of	of	ADP
iajs-919	5	10	the	the	DET
iajs-919	5	11	number	number	NOUN
iajs-919	5	12	of	of	ADP
iajs-919	5	13	training	training	NOUN
iajs-919	5	14	samples	sample	NOUN
iajs-919	5	15	for	for	ADP
iajs-919	5	16	artificial	artificial	ADJ
iajs-919	5	17	neural	neural	ADJ
iajs-919	5	18	networks	network	NOUN
iajs-919	5	19	(	(	PUNCT
iajs-919	5	20	ann	ann	PROPN
iajs-919	5	21	)	)	PUNCT
iajs-919	5	22	which	which	PRON
iajs-919	5	23	is	be	AUX
iajs-919	5	24	necessary	necessary	ADJ
iajs-919	5	25	for	for	ADP
iajs-919	5	26	training	training	NOUN
iajs-919	5	27	process	process	NOUN
iajs-919	5	28	of	of	ADP
iajs-919	5	29	feed	feed	NOUN
iajs-919	5	30	forward	forward	ADV
iajs-919	5	31	neural	neural	ADJ
iajs-919	5	32	network	network	NOUN
iajs-919	5	33	.also	.also	PUNCT
iajs-919	5	34	we	we	PRON
iajs-919	5	35	design	design	VERB
iajs-919	5	36	5	5	NUM
iajs-919	5	37	ann	ann	PROPN
iajs-919	5	38	's	's	PART
iajs-919	5	39	and	and	CCONJ
iajs-919	5	40	train	train	VERB
iajs-919	5	41	41	41	NUM
iajs-919	5	42	ann	ann	PROPN
iajs-919	5	43	's	's	PART
iajs-919	5	44	which	which	PRON
iajs-919	5	45	illustrate	illustrate	VERB
iajs-919	5	46	how	how	SCONJ
iajs-919	5	47	good	good	ADJ
iajs-919	5	48	the	the	DET
iajs-919	5	49	training	training	NOUN
iajs-919	5	50	samples	sample	NOUN
iajs-919	5	51	that	that	PRON
iajs-919	5	52	represent	represent	VERB
iajs-919	5	53	the	the	DET
iajs-919	5	54	actual	actual	ADJ
iajs-919	5	55	function	function	NOUN
iajs-919	5	56	for	for	ADP
iajs-919	5	57	ann	ann	PROPN
iajs-919	5	58	's	's	PART
iajs-919	5	59	.	.	PUNCT
iajs-919	6	1	1	1	X
iajs-919	6	2	.	.	X
iajs-919	6	3	introduction	introduction	NOUN
iajs-919	6	4	artificial	artificial	ADJ
iajs-919	6	5	neural	neural	ADJ
iajs-919	6	6	networks	network	NOUN
iajs-919	6	7	(	(	PUNCT
iajs-919	6	8	ann	ann	PROPN
iajs-919	6	9	)	)	PUNCT
iajs-919	6	10	are	be	AUX
iajs-919	6	11	relatively	relatively	ADV
iajs-919	6	12	crude	crude	ADJ
iajs-919	6	13	electronic	electronic	ADJ
iajs-919	6	14	models	model	NOUN
iajs-919	6	15	based	base	VERB
iajs-919	6	16	on	on	ADP
iajs-919	6	17	the	the	DET
iajs-919	6	18	neural	neural	ADJ
iajs-919	6	19	structure	structure	NOUN
iajs-919	6	20	of	of	ADP
iajs-919	6	21	the	the	DET
iajs-919	6	22	brain	brain	NOUN
iajs-919	6	23	.	.	PUNCT
iajs-919	7	1	the	the	DET
iajs-919	7	2	brain	brain	NOUN
iajs-919	7	3	basically	basically	ADV
iajs-919	7	4	learns	learn	VERB
iajs-919	7	5	from	from	ADP
iajs-919	7	6	experience	experience	NOUN
iajs-919	7	7	.	.	PUNCT
iajs-919	8	1	it	it	PRON
iajs-919	8	2	is	be	AUX
iajs-919	8	3	a	a	DET
iajs-919	8	4	natural	natural	ADJ
iajs-919	8	5	proof	proof	NOUN
iajs-919	8	6	that	that	SCONJ
iajs-919	8	7	some	some	DET
iajs-919	8	8	problems	problem	NOUN
iajs-919	8	9	that	that	PRON
iajs-919	8	10	are	be	AUX
iajs-919	8	11	beyond	beyond	ADP
iajs-919	8	12	the	the	DET
iajs-919	8	13	scope	scope	NOUN
iajs-919	8	14	of	of	ADP
iajs-919	8	15	current	current	ADJ
iajs-919	8	16	computers	computer	NOUN
iajs-919	8	17	are	be	AUX
iajs-919	8	18	indeed	indeed	ADV
iajs-919	8	19	solvable	solvable	ADJ
iajs-919	8	20	by	by	ADP
iajs-919	8	21	small	small	ADJ
iajs-919	8	22	energy	energy	NOUN
iajs-919	8	23	efficient	efficient	ADJ
iajs-919	8	24	packages	package	NOUN
iajs-919	8	25	.	.	PUNCT
iajs-919	9	1	this	this	DET
iajs-919	9	2	brain	brain	NOUN
iajs-919	9	3	modeling	modeling	NOUN
iajs-919	9	4	also	also	ADV
iajs-919	9	5	promises	promise	VERB
iajs-919	9	6	a	a	DET
iajs-919	9	7	less	less	ADV
iajs-919	9	8	technical	technical	ADJ
iajs-919	9	9	way	way	NOUN
iajs-919	9	10	to	to	PART
iajs-919	9	11	develop	develop	VERB
iajs-919	9	12	machine	machine	NOUN
iajs-919	9	13	solutions	solution	NOUN
iajs-919	9	14	.	.	PUNCT
iajs-919	10	1	this	this	DET
iajs-919	10	2	new	new	ADJ
iajs-919	10	3	approach	approach	NOUN
iajs-919	10	4	to	to	ADP
iajs-919	10	5	computing	computing	NOUN
iajs-919	10	6	also	also	ADV
iajs-919	10	7	provides	provide	VERB
iajs-919	10	8	a	a	DET
iajs-919	10	9	more	more	ADV
iajs-919	10	10	graceful	graceful	ADJ
iajs-919	10	11	degradation	degradation	NOUN
iajs-919	10	12	during	during	ADP
iajs-919	10	13	system	system	NOUN
iajs-919	10	14	overload	overload	NOUN
iajs-919	10	15	than	than	ADP
iajs-919	10	16	its	its	PRON
iajs-919	10	17	more	more	ADV
iajs-919	10	18	traditional	traditional	ADJ
iajs-919	10	19	counterparts	counterpart	NOUN
iajs-919	10	20	.	.	PUNCT
iajs-919	11	1	the	the	DET
iajs-919	11	2	,	,	PUNCT
iajs-919	11	3	advances	advance	NOUN
iajs-919	11	4	in	in	ADP
iajs-919	11	5	biological	biological	ADJ
iajs-919	11	6	research	research	NOUN
iajs-919	11	7	promise	promise	VERB
iajs-919	11	8	an	an	DET
iajs-919	11	9	initial	initial	ADJ
iajs-919	11	10	understanding	understanding	NOUN
iajs-919	11	11	of	of	ADP
iajs-919	11	12	the	the	DET
iajs-919	11	13	natural	natural	ADJ
iajs-919	11	14	thinking	thinking	NOUN
iajs-919	11	15	mechanism	mechanism	NOUN
iajs-919	11	16	.	.	PUNCT
iajs-919	12	1	this	this	DET
iajs-919	12	2	research	research	NOUN
iajs-919	12	3	shows	show	VERB
iajs-919	12	4	that	that	SCONJ
iajs-919	12	5	brains	brain	VERB
iajs-919	12	6	store	store	NOUN
iajs-919	12	7	information	information	NOUN
iajs-919	12	8	as	as	ADP
iajs-919	12	9	patterns	pattern	NOUN
iajs-919	12	10	.	.	PUNCT
iajs-919	13	1	some	some	PRON
iajs-919	13	2	of	of	ADP
iajs-919	13	3	these	these	DET
iajs-919	13	4	patterns	pattern	NOUN
iajs-919	13	5	are	be	AUX
iajs-919	13	6	very	very	ADV
iajs-919	13	7	complicated	complicated	ADJ
iajs-919	13	8	and	and	CCONJ
iajs-919	13	9	allow	allow	VERB
iajs-919	13	10	us	we	PRON
iajs-919	13	11	the	the	DET
iajs-919	13	12	ability	ability	NOUN
iajs-919	13	13	to	to	PART
iajs-919	13	14	recognize	recognize	VERB
iajs-919	13	15	individual	individual	ADJ
iajs-919	13	16	faces	face	NOUN
iajs-919	13	17	from	from	ADP
iajs-919	13	18	many	many	ADJ
iajs-919	13	19	different	different	ADJ
iajs-919	13	20	angles	angle	NOUN
iajs-919	13	21	.	.	PUNCT
iajs-919	14	1	this	this	DET
iajs-919	14	2	process	process	NOUN
iajs-919	14	3	of	of	ADP
iajs-919	14	4	storing	store	VERB
iajs-919	14	5	information	information	NOUN
iajs-919	14	6	as	as	ADP
iajs-919	14	7	patterns	pattern	NOUN
iajs-919	14	8	,	,	PUNCT
iajs-919	14	9	utilizing	utilize	VERB
iajs-919	14	10	those	those	DET
iajs-919	14	11	patterns	pattern	NOUN
iajs-919	14	12	,	,	PUNCT
iajs-919	14	13	and	and	CCONJ
iajs-919	14	14	then	then	ADV
iajs-919	14	15	solving	solve	VERB
iajs-919	14	16	problems	problem	NOUN
iajs-919	14	17	encompasses	encompass	VERB
iajs-919	14	18	a	a	DET
iajs-919	14	19	new	new	ADJ
iajs-919	14	20	field	field	NOUN
iajs-919	14	21	in	in	ADP
iajs-919	14	22	computing	compute	VERB
iajs-919	14	23	.	.	PUNCT
iajs-919	15	1	this	this	DET
iajs-919	15	2	field	field	NOUN
iajs-919	15	3	,	,	PUNCT
iajs-919	15	4	as	as	SCONJ
iajs-919	15	5	mentioned	mention	VERB
iajs-919	15	6	before	before	ADV
iajs-919	15	7	,	,	PUNCT
iajs-919	15	8	does	do	AUX
iajs-919	15	9	not	not	PART
iajs-919	15	10	utilize	utilize	VERB
iajs-919	15	11	traditional	traditional	ADJ
iajs-919	15	12	programming	programming	NOUN
iajs-919	15	13	but	but	CCONJ
iajs-919	15	14	involves	involve	VERB
iajs-919	15	15	the	the	DET
iajs-919	15	16	creation	creation	NOUN
iajs-919	15	17	of	of	ADP
iajs-919	15	18	massively	massively	ADV
iajs-919	15	19	parallel	parallel	ADJ
iajs-919	15	20	networks	network	NOUN
iajs-919	15	21	and	and	CCONJ
iajs-919	15	22	the	the	DET
iajs-919	15	23	training	training	NOUN
iajs-919	15	24	of	of	ADP
iajs-919	15	25	those	those	DET
iajs-919	15	26	networks	network	NOUN
iajs-919	15	27	to	to	PART
iajs-919	15	28	solve	solve	VERB
iajs-919	15	29	specific	specific	ADJ
iajs-919	15	30	problems	problem	NOUN
iajs-919	15	31	.	.	PUNCT
iajs-919	16	1	this	this	DET
iajs-919	16	2	field	field	NOUN
iajs-919	16	3	also	also	ADV
iajs-919	16	4	utilizes	utilize	VERB
iajs-919	16	5	words	word	NOUN
iajs-919	16	6	very	very	ADV
iajs-919	16	7	different	different	ADJ
iajs-919	16	8	from	from	ADP
iajs-919	16	9	traditional	traditional	ADJ
iajs-919	16	10	computing	computing	NOUN
iajs-919	16	11	,	,	PUNCT
iajs-919	16	12	words	word	NOUN
iajs-919	16	13	like	like	ADP
iajs-919	16	14	behave	behave	VERB
iajs-919	16	15	,	,	PUNCT
iajs-919	16	16	react	react	ADJ
iajs-919	16	17	,	,	PUNCT
iajs-919	16	18	selforganize	selforganize	NOUN
iajs-919	16	19	,	,	PUNCT
iajs-919	16	20	learn	learn	VERB
iajs-919	16	21	,	,	PUNCT
iajs-919	16	22	generalize	generalize	VERB
iajs-919	16	23	,	,	PUNCT
iajs-919	16	24	and	and	CCONJ
iajs-919	16	25	forget	forget	VERB
iajs-919	16	26	.	.	PUNCT
iajs-919	17	1	[	[	X
iajs-919	17	2	1	1	NUM
iajs-919	17	3	]	]	SYM
iajs-919	17	4	2	2	NUM
iajs-919	17	5	.	.	PUNCT
iajs-919	17	6	artificial	artificial	ADJ
iajs-919	17	7	neurons	neuron	NOUN
iajs-919	17	8	and	and	CCONJ
iajs-919	17	9	their	their	PRON
iajs-919	17	10	work	work	NOUN
iajs-919	17	11	the	the	DET
iajs-919	17	12	fundamental	fundamental	ADJ
iajs-919	17	13	processing	processing	NOUN
iajs-919	17	14	element	element	NOUN
iajs-919	17	15	of	of	ADP
iajs-919	17	16	artificial	artificial	ADJ
iajs-919	17	17	neural	neural	ADJ
iajs-919	17	18	network	network	NOUN
iajs-919	17	19	(	(	PUNCT
iajs-919	17	20	ann	ann	PROPN
iajs-919	17	21	)	)	PUNCT
iajs-919	17	22	is	be	AUX
iajs-919	17	23	a	a	DET
iajs-919	17	24	neuron	neuron	NOUN
iajs-919	17	25	.	.	PUNCT
iajs-919	18	1	a	a	DET
iajs-919	18	2	neuron	neuron	NOUN
iajs-919	18	3	is	be	AUX
iajs-919	18	4	an	an	DET
iajs-919	18	5	information	information	NOUN
iajs-919	18	6	-	-	PUNCT
iajs-919	18	7	processing	process	VERB
iajs-919	18	8	unit	unit	NOUN
iajs-919	18	9	that	that	PRON
iajs-919	18	10	is	be	AUX
iajs-919	18	11	fundamental	fundamental	ADJ
iajs-919	18	12	to	to	ADP
iajs-919	18	13	the	the	DET
iajs-919	18	14	operation	operation	NOUN
iajs-919	18	15	of	of	ADP
iajs-919	18	16	a	a	DET
iajs-919	18	17	neural	neural	ADJ
iajs-919	18	18	networks	network	NOUN
iajs-919	18	19	,	,	PUNCT
iajs-919	18	20	figure	figure	NOUN
iajs-919	18	21	(	(	PUNCT
iajs-919	18	22	1	1	NUM
iajs-919	18	23	)	)	PUNCT
iajs-919	18	24	shows	show	VERB
iajs-919	18	25	the	the	DET
iajs-919	18	26	model	model	NOUN
iajs-919	18	27	of	of	ADP
iajs-919	18	28	a	a	DET
iajs-919	18	29	neuron	neuron	NOUN
iajs-919	18	30	,	,	PUNCT
iajs-919	18	31	which	which	PRON
iajs-919	18	32	forms	form	VERB
iajs-919	18	33	the	the	DET
iajs-919	18	34	basis	basis	NOUN
iajs-919	18	35	for	for	ADP
iajs-919	18	36	ann	ann	PROPN
iajs-919	18	37	's	's	PART
iajs-919	18	38	.	.	PUNCT
iajs-919	19	1	the	the	DET
iajs-919	19	2	artificial	artificial	ADJ
iajs-919	19	3	neurons	neuron	NOUN
iajs-919	19	4	we	we	PRON
iajs-919	19	5	use	use	VERB
iajs-919	19	6	to	to	PART
iajs-919	19	7	build	build	VERB
iajs-919	19	8	our	our	PRON
iajs-919	19	9	neural	neural	ADJ
iajs-919	19	10	networks	network	NOUN
iajs-919	19	11	are	be	AUX
iajs-919	19	12	truly	truly	ADV
iajs-919	19	13	primitive	primitive	ADJ
iajs-919	19	14	in	in	ADP
iajs-919	19	15	comparison	comparison	NOUN
iajs-919	19	16	to	to	ADP
iajs-919	19	17	those	those	PRON
iajs-919	19	18	found	find	VERB
iajs-919	19	19	in	in	ADP
iajs-919	19	20	the	the	DET
iajs-919	19	21	brain	brain	NOUN
iajs-919	19	22	.	.	PUNCT
iajs-919	20	1	an	an	DET
iajs-919	20	2	artificial	artificial	ADJ
iajs-919	20	3	neuron	neuron	NOUN
iajs-919	20	4	has	have	VERB
iajs-919	20	5	several	several	ADJ
iajs-919	20	6	inputs	input	NOUN
iajs-919	20	7	but	but	CCONJ
iajs-919	20	8	only	only	ADV
iajs-919	20	9	one	one	NUM
iajs-919	20	10	output	output	NOUN
iajs-919	20	11	.	.	PUNCT
iajs-919	21	1	here	here	ADV
iajs-919	21	2	we	we	PRON
iajs-919	21	3	identify	identify	VERB
iajs-919	21	4	three	three	NUM
iajs-919	21	5	basic	basic	ADJ
iajs-919	21	6	elements	element	NOUN
iajs-919	21	7	of	of	ADP
iajs-919	21	8	the	the	DET
iajs-919	21	9	neuronal	neuronal	ADJ
iajs-919	21	10	model	model	NOUN
iajs-919	21	11	[	[	X
iajs-919	21	12	2	2	NUM
iajs-919	21	13	]	]	PUNCT
iajs-919	21	14	,	,	PUNCT
iajs-919	21	15	[	[	X
iajs-919	21	16	3	3	X
iajs-919	21	17	]	]	PUNCT
iajs-919	21	18	:	:	PUNCT
iajs-919	21	19	1	1	X
iajs-919	21	20	.	.	PUNCT
iajs-919	21	21	synapses	synapsis	NOUN
iajs-919	21	22	or	or	CCONJ
iajs-919	21	23	connecting	connect	VERB
iajs-919	21	24	links	link	NOUN
iajs-919	21	25	,	,	PUNCT
iajs-919	21	26	each	each	PRON
iajs-919	21	27	is	be	AUX
iajs-919	21	28	characterized	characterize	VERB
iajs-919	21	29	by	by	ADP
iajs-919	21	30	a	a	DET
iajs-919	21	31	weight	weight	NOUN
iajs-919	21	32	or	or	CCONJ
iajs-919	21	33	strength	strength	NOUN
iajs-919	21	34	of	of	ADP
iajs-919	21	35	its	its	PRON
iajs-919	21	36	own	own	ADJ
iajs-919	21	37	.	.	PUNCT
iajs-919	22	1	a	a	PRON
iajs-919	22	2	specifically	specifically	ADV
iajs-919	22	3	,	,	PUNCT
iajs-919	22	4	a	a	DET
iajs-919	22	5	signal	signal	NOUN
iajs-919	22	6	xj	xj	PROPN
iajs-919	22	7	at	at	ADP
iajs-919	22	8	input	input	NOUN
iajs-919	22	9	of	of	ADP
iajs-919	22	10	synapse	synapse	NOUN
iajs-919	22	11	j	j	PROPN
iajs-919	22	12	connected	connect	VERB
iajs-919	22	13	to	to	ADP
iajs-919	22	14	a	a	DET
iajs-919	22	15	neuron	neuron	NOUN
iajs-919	22	16	is	be	AUX
iajs-919	22	17	multiplied	multiply	VERB
iajs-919	22	18	by	by	ADP
iajs-919	22	19	the	the	DET
iajs-919	22	20	synaptic	synaptic	ADJ
iajs-919	22	21	weight	weight	NOUN
iajs-919	22	22	wj	wj	PROPN
iajs-919	22	23	.	.	PUNCT
iajs-919	23	1	2	2	X
iajs-919	23	2	.	.	X
iajs-919	23	3	an	an	DET
iajs-919	23	4	activation	activation	NOUN
iajs-919	23	5	function	function	NOUN
iajs-919	23	6	for	for	ADP
iajs-919	23	7	limiting	limit	VERB
iajs-919	23	8	the	the	DET
iajs-919	23	9	amplitude	amplitude	NOUN
iajs-919	23	10	of	of	ADP
iajs-919	23	11	the	the	DET
iajs-919	23	12	output	output	NOUN
iajs-919	23	13	of	of	ADP
iajs-919	23	14	a	a	DET
iajs-919	23	15	neuron	neuron	NOUN
iajs-919	23	16	.	.	PUNCT
iajs-919	24	1	ihjpas	ihjpas	PROPN
iajs-919	24	2	ibn	ibn	PROPN
iajs-919	24	3	alhaitham	alhaitham	PROPN
iajs-919	24	4	j.	j.	PROPN
iajs-919	24	5	for	for	ADP
iajs-919	24	6	pure	pure	ADJ
iajs-919	24	7	&	&	CCONJ
iajs-919	24	8	appl	appl	PROPN
iajs-919	24	9	.	.	PUNCT
iajs-919	25	1	sci	sci	PROPN
iajs-919	25	2	.	.	PUNCT
iajs-919	26	1	vol.23	vol.23	PROPN
iajs-919	26	2	(	(	PUNCT
iajs-919	26	3	3	3	NUM
iajs-919	26	4	)	)	PUNCT
iajs-919	26	5	2010	2010	NUM
iajs-919	26	6	3	3	NUM
iajs-919	26	7	.	.	PUNCT
iajs-919	27	1	the	the	DET
iajs-919	27	2	model	model	NOUN
iajs-919	27	3	of	of	ADP
iajs-919	27	4	a	a	DET
iajs-919	27	5	neuron	neuron	NOUN
iajs-919	27	6	also	also	ADV
iajs-919	27	7	includes	include	VERB
iajs-919	27	8	an	an	DET
iajs-919	27	9	external	external	ADJ
iajs-919	27	10	bias	bias	NOUN
iajs-919	27	11	,	,	PUNCT
iajs-919	27	12	denoted	denote	VERB
iajs-919	27	13	by	by	ADP
iajs-919	27	14	b	b	PROPN
iajs-919	27	15	,	,	PUNCT
iajs-919	27	16	which	which	PRON
iajs-919	27	17	has	have	VERB
iajs-919	27	18	the	the	DET
iajs-919	27	19	effect	effect	NOUN
iajs-919	27	20	of	of	ADP
iajs-919	27	21	increasing	increase	VERB
iajs-919	27	22	or	or	CCONJ
iajs-919	27	23	lowering	lower	VERB
iajs-919	27	24	the	the	DET
iajs-919	27	25	net	net	ADJ
iajs-919	27	26	input	input	NOUN
iajs-919	27	27	of	of	ADP
iajs-919	27	28	the	the	DET
iajs-919	27	29	activation	activation	NOUN
iajs-919	27	30	function	function	NOUN
iajs-919	27	31	.	.	PUNCT
iajs-919	28	1	in	in	ADP
iajs-919	28	2	mathematical	mathematical	ADJ
iajs-919	28	3	terms	term	NOUN
iajs-919	28	4	,	,	PUNCT
iajs-919	28	5	we	we	PRON
iajs-919	28	6	may	may	AUX
iajs-919	28	7	describe	describe	VERB
iajs-919	28	8	a	a	DET
iajs-919	28	9	neuron	neuron	NOUN
iajs-919	28	10	by	by	ADP
iajs-919	28	11	:	:	PUNCT
iajs-919	28	12	y	y	PROPN
iajs-919	28	13	=	=	SYM
iajs-919	28	14	φ	φ	PROPN
iajs-919	28	15	(	(	PUNCT
iajs-919	28	16			X
iajs-919	28	17			NOUN
iajs-919	28	18	n	n	PRON
iajs-919	28	19	j	j	PROPN
iajs-919	28	20	jjxw	jjxw	PROPN
iajs-919	28	21	1	1	NUM
iajs-919	28	22	+	+	NUM
iajs-919	28	23	b	b	NOUN
iajs-919	28	24	)	)	PUNCT
iajs-919	28	25	…	…	PUNCT
iajs-919	28	26	……	……	X
iajs-919	28	27	(	(	PUNCT
iajs-919	28	28	1	1	NUM
iajs-919	28	29	)	)	PUNCT
iajs-919	29	1	where	where	SCONJ
iajs-919	29	2	x1,	x1,	X
iajs-919	29	3	…	…	SYM
iajs-919	29	4	xn	xn	NUM
iajs-919	29	5	are	be	AUX
iajs-919	29	6	the	the	DET
iajs-919	29	7	input	input	NOUN
iajs-919	29	8	signals	signal	NOUN
iajs-919	29	9	w1,	w1,	NOUN
iajs-919	29	10	…	…	PUNCT
iajs-919	29	11	,wn	,wn	X
iajs-919	29	12	are	be	AUX
iajs-919	29	13	the	the	DET
iajs-919	29	14	synaptic	synaptic	ADJ
iajs-919	29	15	weights	weight	NOUN
iajs-919	29	16	of	of	ADP
iajs-919	29	17	the	the	DET
iajs-919	29	18	neuron	neuron	NOUN
iajs-919	29	19	,	,	PUNCT
iajs-919	29	20	b	b	PROPN
iajs-919	29	21	is	be	AUX
iajs-919	29	22	the	the	DET
iajs-919	29	23	bias	bias	NOUN
iajs-919	29	24	,	,	PUNCT
iajs-919	29	25	φ	φ	PROPN
iajs-919	29	26	is	be	AUX
iajs-919	29	27	the	the	DET
iajs-919	29	28	activation	activation	NOUN
iajs-919	29	29	function	function	NOUN
iajs-919	29	30	and	and	CCONJ
iajs-919	29	31	y	y	PROPN
iajs-919	29	32	is	be	AUX
iajs-919	29	33	the	the	DET
iajs-919	29	34	output	output	NOUN
iajs-919	29	35	signal	signal	NOUN
iajs-919	29	36	of	of	ADP
iajs-919	29	37	the	the	DET
iajs-919	29	38	neuron	neuron	NOUN
iajs-919	29	39	.	.	PUNCT
iajs-919	30	1	3	3	X
iajs-919	30	2	.	.	X
iajs-919	30	3	training	training	NOUN
iajs-919	30	4	of	of	ADP
iajs-919	30	5	ann	ann	PROPN
iajs-919	30	6	's	's	PART
iajs-919	30	7	basically	basically	ADV
iajs-919	30	8	,	,	PUNCT
iajs-919	30	9	training	training	NOUN
iajs-919	30	10	is	be	AUX
iajs-919	30	11	the	the	DET
iajs-919	30	12	process	process	NOUN
iajs-919	30	13	of	of	ADP
iajs-919	30	14	determining	determine	VERB
iajs-919	30	15	the	the	DET
iajs-919	30	16	weights	weight	NOUN
iajs-919	30	17	which	which	PRON
iajs-919	30	18	are	be	AUX
iajs-919	30	19	the	the	DET
iajs-919	30	20	key	key	ADJ
iajs-919	30	21	elements	element	NOUN
iajs-919	30	22	of	of	ADP
iajs-919	30	23	an	an	DET
iajs-919	30	24	ann	ann	PROPN
iajs-919	30	25	.	.	PUNCT
iajs-919	31	1	the	the	DET
iajs-919	31	2	knowledge	knowledge	NOUN
iajs-919	31	3	learned	learn	VERB
iajs-919	31	4	by	by	ADP
iajs-919	31	5	a	a	DET
iajs-919	31	6	network	network	NOUN
iajs-919	31	7	is	be	AUX
iajs-919	31	8	stored	store	VERB
iajs-919	31	9	in	in	ADP
iajs-919	31	10	the	the	DET
iajs-919	31	11	nodes	node	NOUN
iajs-919	31	12	in	in	ADP
iajs-919	31	13	the	the	DET
iajs-919	31	14	form	form	NOUN
iajs-919	31	15	of	of	ADP
iajs-919	31	16	weights	weight	NOUN
iajs-919	31	17	and	and	CCONJ
iajs-919	31	18	node	node	NOUN
iajs-919	31	19	biases	bias	NOUN
iajs-919	31	20	.	.	PUNCT
iajs-919	32	1	in	in	ADP
iajs-919	32	2	this	this	DET
iajs-919	32	3	paper	paper	NOUN
iajs-919	32	4	network	network	NOUN
iajs-919	32	5	training	training	NOUN
iajs-919	32	6	that	that	SCONJ
iajs-919	32	7	the	the	DET
iajs-919	32	8	desired	desire	VERB
iajs-919	32	9	response	response	NOUN
iajs-919	32	10	of	of	ADP
iajs-919	32	11	the	the	DET
iajs-919	32	12	network	network	NOUN
iajs-919	32	13	(	(	PUNCT
iajs-919	32	14	target	target	NOUN
iajs-919	32	15	value	value	NOUN
iajs-919	32	16	)	)	PUNCT
iajs-919	32	17	for	for	ADP
iajs-919	32	18	each	each	DET
iajs-919	32	19	input	input	NOUN
iajs-919	32	20	pattern	pattern	NOUN
iajs-919	32	21	(	(	PUNCT
iajs-919	32	22	example	example	NOUN
iajs-919	32	23	)	)	PUNCT
iajs-919	32	24	is	be	AUX
iajs-919	32	25	always	always	ADV
iajs-919	32	26	available	available	ADJ
iajs-919	32	27	.	.	PUNCT
iajs-919	33	1	the	the	DET
iajs-919	33	2	training	training	NOUN
iajs-919	33	3	input	input	NOUN
iajs-919	33	4	data	datum	NOUN
iajs-919	33	5	is	be	AUX
iajs-919	33	6	in	in	ADP
iajs-919	33	7	the	the	DET
iajs-919	33	8	form	form	NOUN
iajs-919	33	9	of	of	ADP
iajs-919	33	10	vectors	vector	NOUN
iajs-919	33	11	of	of	ADP
iajs-919	33	12	input	input	NOUN
iajs-919	33	13	variables	variable	NOUN
iajs-919	33	14	or	or	CCONJ
iajs-919	33	15	training	training	NOUN
iajs-919	33	16	patterns	pattern	NOUN
iajs-919	33	17	.	.	PUNCT
iajs-919	34	1	corresponding	correspond	VERB
iajs-919	34	2	to	to	ADP
iajs-919	34	3	each	each	DET
iajs-919	34	4	element	element	NOUN
iajs-919	34	5	in	in	ADP
iajs-919	34	6	an	an	DET
iajs-919	34	7	input	input	NOUN
iajs-919	34	8	vector	vector	NOUN
iajs-919	34	9	is	be	AUX
iajs-919	34	10	an	an	DET
iajs-919	34	11	input	input	NOUN
iajs-919	34	12	node	node	NOUN
iajs-919	34	13	in	in	ADP
iajs-919	34	14	the	the	DET
iajs-919	34	15	network	network	NOUN
iajs-919	34	16	input	input	NOUN
iajs-919	34	17	layer	layer	NOUN
iajs-919	34	18	.	.	PUNCT
iajs-919	35	1	hence	hence	ADV
iajs-919	35	2	the	the	DET
iajs-919	35	3	number	number	NOUN
iajs-919	35	4	of	of	ADP
iajs-919	35	5	input	input	NOUN
iajs-919	35	6	nodes	node	NOUN
iajs-919	35	7	is	be	AUX
iajs-919	35	8	equal	equal	ADJ
iajs-919	35	9	to	to	ADP
iajs-919	35	10	the	the	DET
iajs-919	35	11	dimension	dimension	NOUN
iajs-919	35	12	of	of	ADP
iajs-919	35	13	input	input	NOUN
iajs-919	35	14	vectors	vector	NOUN
iajs-919	35	15	.	.	PUNCT
iajs-919	36	1	the	the	DET
iajs-919	36	2	total	total	ADJ
iajs-919	36	3	available	available	ADJ
iajs-919	36	4	data	datum	NOUN
iajs-919	36	5	is	be	AUX
iajs-919	36	6	usually	usually	ADV
iajs-919	36	7	divided	divide	VERB
iajs-919	36	8	into	into	ADP
iajs-919	36	9	a	a	DET
iajs-919	36	10	training	training	NOUN
iajs-919	36	11	set	set	NOUN
iajs-919	36	12	(	(	PUNCT
iajs-919	36	13	in	in	ADP
iajs-919	36	14	-	-	PUNCT
iajs-919	36	15	sample	sample	NOUN
iajs-919	36	16	data	datum	NOUN
iajs-919	36	17	)	)	PUNCT
iajs-919	36	18	and	and	CCONJ
iajs-919	36	19	a	a	DET
iajs-919	36	20	test	test	NOUN
iajs-919	36	21	set	set	NOUN
iajs-919	36	22	(	(	PUNCT
iajs-919	36	23	out	out	NOUN
iajs-919	36	24	-	-	PUNCT
iajs-919	36	25	of	of	ADP
iajs-919	36	26	-	-	PUNCT
iajs-919	36	27	sample	sample	NOUN
iajs-919	36	28	)	)	PUNCT
iajs-919	36	29	.	.	PUNCT
iajs-919	37	1	the	the	DET
iajs-919	37	2	training	training	NOUN
iajs-919	37	3	set	set	NOUN
iajs-919	37	4	is	be	AUX
iajs-919	37	5	used	use	VERB
iajs-919	37	6	for	for	ADP
iajs-919	37	7	estimating	estimate	VERB
iajs-919	37	8	the	the	DET
iajs-919	37	9	weights	weight	NOUN
iajs-919	37	10	while	while	SCONJ
iajs-919	37	11	the	the	DET
iajs-919	37	12	test	test	NOUN
iajs-919	37	13	set	set	NOUN
iajs-919	37	14	is	be	AUX
iajs-919	37	15	used	use	VERB
iajs-919	37	16	for	for	ADP
iajs-919	37	17	measuring	measure	VERB
iajs-919	37	18	the	the	DET
iajs-919	37	19	generalization	generalization	NOUN
iajs-919	37	20	ability	ability	NOUN
iajs-919	37	21	of	of	ADP
iajs-919	37	22	the	the	DET
iajs-919	37	23	network	network	NOUN
iajs-919	37	24	.	.	PUNCT
iajs-919	38	1	the	the	DET
iajs-919	38	2	training	training	NOUN
iajs-919	38	3	process	process	NOUN
iajs-919	38	4	is	be	AUX
iajs-919	38	5	usually	usually	ADV
iajs-919	38	6	as	as	SCONJ
iajs-919	38	7	follows	follow	VERB
iajs-919	38	8	.	.	PUNCT
iajs-919	39	1	first	first	ADV
iajs-919	39	2	,	,	PUNCT
iajs-919	39	3	examples	example	NOUN
iajs-919	39	4	of	of	ADP
iajs-919	39	5	the	the	DET
iajs-919	39	6	training	training	NOUN
iajs-919	39	7	set	set	NOUN
iajs-919	39	8	are	be	AUX
iajs-919	39	9	entered	enter	VERB
iajs-919	39	10	into	into	ADP
iajs-919	39	11	the	the	DET
iajs-919	39	12	input	input	NOUN
iajs-919	39	13	nodes	node	NOUN
iajs-919	39	14	.	.	PUNCT
iajs-919	40	1	the	the	DET
iajs-919	40	2	activation	activation	NOUN
iajs-919	40	3	values	value	NOUN
iajs-919	40	4	of	of	ADP
iajs-919	40	5	the	the	DET
iajs-919	40	6	input	input	NOUN
iajs-919	40	7	nodes	node	NOUN
iajs-919	40	8	are	be	AUX
iajs-919	40	9	weighted	weight	VERB
iajs-919	40	10	and	and	CCONJ
iajs-919	40	11	accumulated	accumulate	VERB
iajs-919	40	12	at	at	ADP
iajs-919	40	13	each	each	DET
iajs-919	40	14	node	node	NOUN
iajs-919	40	15	in	in	ADP
iajs-919	40	16	the	the	DET
iajs-919	40	17	first	first	ADJ
iajs-919	40	18	hidden	hide	VERB
iajs-919	40	19	layer	layer	NOUN
iajs-919	40	20	.	.	PUNCT
iajs-919	41	1	the	the	DET
iajs-919	41	2	total	total	NOUN
iajs-919	41	3	is	be	AUX
iajs-919	41	4	then	then	ADV
iajs-919	41	5	transformed	transform	VERB
iajs-919	41	6	by	by	ADP
iajs-919	41	7	an	an	DET
iajs-919	41	8	activation	activation	NOUN
iajs-919	41	9	function	function	NOUN
iajs-919	41	10	into	into	ADP
iajs-919	41	11	the	the	DET
iajs-919	41	12	node	node	NOUN
iajs-919	41	13	’s	’s	PART
iajs-919	41	14	activation	activation	NOUN
iajs-919	41	15	value	value	NOUN
iajs-919	41	16	.	.	PUNCT
iajs-919	42	1	it	it	PRON
iajs-919	42	2	in	in	ADP
iajs-919	42	3	turn	turn	NOUN
iajs-919	42	4	becomes	become	VERB
iajs-919	42	5	an	an	DET
iajs-919	42	6	input	input	NOUN
iajs-919	42	7	into	into	ADP
iajs-919	42	8	the	the	DET
iajs-919	42	9	nodes	node	NOUN
iajs-919	42	10	in	in	ADP
iajs-919	42	11	the	the	DET
iajs-919	42	12	next	next	ADJ
iajs-919	42	13	layer	layer	NOUN
iajs-919	42	14	,	,	PUNCT
iajs-919	42	15	until	until	SCONJ
iajs-919	42	16	eventually	eventually	ADV
iajs-919	42	17	the	the	DET
iajs-919	42	18	output	output	NOUN
iajs-919	42	19	activation	activation	NOUN
iajs-919	42	20	values	value	NOUN
iajs-919	42	21	are	be	AUX
iajs-919	42	22	found	find	VERB
iajs-919	42	23	.	.	PUNCT
iajs-919	43	1	the	the	DET
iajs-919	43	2	training	training	NOUN
iajs-919	43	3	algorithm	algorithm	NOUN
iajs-919	43	4	is	be	AUX
iajs-919	43	5	used	use	VERB
iajs-919	43	6	to	to	PART
iajs-919	43	7	find	find	VERB
iajs-919	43	8	the	the	DET
iajs-919	43	9	weights	weight	NOUN
iajs-919	43	10	that	that	PRON
iajs-919	43	11	minimize	minimize	VERB
iajs-919	43	12	some	some	DET
iajs-919	43	13	overall	overall	ADJ
iajs-919	43	14	error	error	NOUN
iajs-919	43	15	measure	measure	NOUN
iajs-919	43	16	such	such	ADJ
iajs-919	43	17	as	as	ADP
iajs-919	43	18	the	the	DET
iajs-919	43	19	sum	sum	NOUN
iajs-919	43	20	of	of	ADP
iajs-919	43	21	squared	square	VERB
iajs-919	43	22	errors	error	NOUN
iajs-919	43	23	(	(	PUNCT
iajs-919	43	24	sse	sse	NOUN
iajs-919	43	25	)	)	PUNCT
iajs-919	43	26	or	or	CCONJ
iajs-919	43	27	mean	mean	VERB
iajs-919	43	28	squared	square	VERB
iajs-919	43	29	errors	error	NOUN
iajs-919	43	30	(	(	PUNCT
iajs-919	43	31	mse	mse	NOUN
iajs-919	43	32	)	)	PUNCT
iajs-919	43	33	.	.	PUNCT
iajs-919	44	1	hence	hence	ADV
iajs-919	44	2	the	the	DET
iajs-919	44	3	network	network	NOUN
iajs-919	44	4	training	training	NOUN
iajs-919	44	5	is	be	AUX
iajs-919	44	6	actually	actually	ADV
iajs-919	44	7	an	an	DET
iajs-919	44	8	unconstrained	unconstrained	ADJ
iajs-919	44	9	nonlinear	nonlinear	ADJ
iajs-919	44	10	minimization	minimization	NOUN
iajs-919	44	11	problem	problem	NOUN
iajs-919	44	12	[	[	X
iajs-919	44	13	4	4	X
iajs-919	44	14	]	]	PUNCT
iajs-919	44	15	.	.	PUNCT
iajs-919	45	1	4	4	X
iajs-919	45	2	.	.	X
iajs-919	45	3	feed	feed	VERB
iajs-919	45	4	forward	forward	ADV
iajs-919	45	5	neural	neural	ADJ
iajs-919	45	6	network	network	NOUN
iajs-919	45	7	feed	feed	NOUN
iajs-919	45	8	-	-	PUNCT
iajs-919	45	9	forward	forward	ADV
iajs-919	45	10	neural	neural	ADJ
iajs-919	45	11	network	network	NOUN
iajs-919	45	12	(	(	PUNCT
iajs-919	45	13	ffnn	ffnn	NOUN
iajs-919	45	14	)	)	PUNCT
iajs-919	45	15	has	have	VERB
iajs-919	45	16	a	a	DET
iajs-919	45	17	layered	layered	ADJ
iajs-919	45	18	structure	structure	NOUN
iajs-919	45	19	.	.	PUNCT
iajs-919	46	1	each	each	DET
iajs-919	46	2	layer	layer	NOUN
iajs-919	46	3	consists	consist	VERB
iajs-919	46	4	of	of	ADP
iajs-919	46	5	units	unit	NOUN
iajs-919	46	6	which	which	PRON
iajs-919	46	7	receive	receive	VERB
iajs-919	46	8	their	their	PRON
iajs-919	46	9	input	input	NOUN
iajs-919	46	10	from	from	ADP
iajs-919	46	11	units	unit	NOUN
iajs-919	46	12	from	from	ADP
iajs-919	46	13	a	a	DET
iajs-919	46	14	layer	layer	NOUN
iajs-919	46	15	directly	directly	ADV
iajs-919	46	16	below	below	ADV
iajs-919	46	17	and	and	CCONJ
iajs-919	46	18	send	send	VERB
iajs-919	46	19	their	their	PRON
iajs-919	46	20	output	output	NOUN
iajs-919	46	21	to	to	ADP
iajs-919	46	22	units	unit	NOUN
iajs-919	46	23	in	in	ADP
iajs-919	46	24	a	a	DET
iajs-919	46	25	layer	layer	NOUN
iajs-919	46	26	directly	directly	ADV
iajs-919	46	27	above	above	ADP
iajs-919	46	28	the	the	DET
iajs-919	46	29	unit	unit	NOUN
iajs-919	46	30	.	.	PUNCT
iajs-919	47	1	there	there	PRON
iajs-919	47	2	are	be	VERB
iajs-919	47	3	no	no	DET
iajs-919	47	4	connections	connection	NOUN
iajs-919	47	5	within	within	ADP
iajs-919	47	6	a	a	DET
iajs-919	47	7	layer	layer	NOUN
iajs-919	47	8	.	.	PUNCT
iajs-919	48	1	the	the	DET
iajs-919	48	2	ni	ni	PROPN
iajs-919	48	3	inputs	input	NOUN
iajs-919	48	4	are	be	AUX
iajs-919	48	5	fed	feed	VERB
iajs-919	48	6	into	into	ADP
iajs-919	48	7	the	the	DET
iajs-919	48	8	first	first	ADJ
iajs-919	48	9	hidden	hide	VERB
iajs-919	48	10	layer	layer	NOUN
iajs-919	48	11	of	of	ADP
iajs-919	48	12	nh,1	nh,1	ADJ
iajs-919	48	13	hidden	hide	VERB
iajs-919	48	14	units	unit	NOUN
iajs-919	48	15	.	.	PUNCT
iajs-919	49	1	the	the	DET
iajs-919	49	2	input	input	NOUN
iajs-919	49	3	units	unit	NOUN
iajs-919	49	4	are	be	AUX
iajs-919	49	5	merely	merely	ADV
iajs-919	49	6	'	'	PUNCT
iajs-919	49	7	fan	fan	NOUN
iajs-919	49	8	-	-	PUNCT
iajs-919	49	9	out	out	NOUN
iajs-919	49	10	'	'	PART
iajs-919	49	11	units	unit	NOUN
iajs-919	49	12	;	;	PUNCT
iajs-919	49	13	no	no	DET
iajs-919	49	14	processing	processing	NOUN
iajs-919	49	15	takes	take	VERB
iajs-919	49	16	p	p	NOUN
iajs-919	49	17	lace	lace	NOUN
iajs-919	49	18	in	in	ADP
iajs-919	49	19	these	these	DET
iajs-919	49	20	units	unit	NOUN
iajs-919	49	21	.	.	PUNCT
iajs-919	50	1	the	the	DET
iajs-919	50	2	activation	activation	NOUN
iajs-919	50	3	of	of	ADP
iajs-919	50	4	a	a	DET
iajs-919	50	5	hidden	hide	VERB
iajs-919	50	6	unit	unit	NOUN
iajs-919	50	7	is	be	AUX
iajs-919	50	8	a	a	DET
iajs-919	50	9	function	function	NOUN
iajs-919	50	10	fi	fi	NOUN
iajs-919	50	11	of	of	ADP
iajs-919	50	12	the	the	DET
iajs-919	50	13	weighted	weight	VERB
iajs-919	50	14	inputs	input	NOUN
iajs-919	50	15	p	p	PROPN
iajs-919	50	16	lus	lus	PROPN
iajs-919	50	17	a	a	DET
iajs-919	50	18	bias	bias	NOUN
iajs-919	50	19	,	,	PUNCT
iajs-919	50	20	as	as	SCONJ
iajs-919	50	21	given	give	VERB
iajs-919	50	22	in	in	ADP
iajs-919	50	23	equation	equation	NOUN
iajs-919	50	24	(	(	PUNCT
iajs-919	50	25	1	1	NUM
iajs-919	50	26	)	)	PUNCT
iajs-919	50	27	.	.	PUNCT
iajs-919	51	1	the	the	DET
iajs-919	51	2	output	output	NOUN
iajs-919	51	3	of	of	ADP
iajs-919	51	4	the	the	DET
iajs-919	51	5	hidden	hide	VERB
iajs-919	51	6	units	unit	NOUN
iajs-919	51	7	is	be	AUX
iajs-919	51	8	distributed	distribute	VERB
iajs-919	51	9	over	over	ADP
iajs-919	51	10	the	the	DET
iajs-919	51	11	next	next	ADJ
iajs-919	51	12	layer	layer	NOUN
iajs-919	51	13	of	of	ADP
iajs-919	51	14	nh,2	nh,2	ADJ
iajs-919	51	15	hidden	hide	VERB
iajs-919	51	16	units	unit	NOUN
iajs-919	51	17	,	,	PUNCT
iajs-919	51	18	until	until	ADP
iajs-919	51	19	the	the	DET
iajs-919	51	20	last	last	ADJ
iajs-919	51	21	layer	layer	NOUN
iajs-919	51	22	of	of	ADP
iajs-919	51	23	hidden	hidden	ADJ
iajs-919	51	24	units	unit	NOUN
iajs-919	51	25	,	,	PUNCT
iajs-919	51	26	of	of	ADP
iajs-919	51	27	which	which	PRON
iajs-919	51	28	the	the	DET
iajs-919	51	29	outputs	output	NOUN
iajs-919	51	30	are	be	AUX
iajs-919	51	31	fed	feed	VERB
iajs-919	51	32	into	into	ADP
iajs-919	51	33	a	a	DET
iajs-919	51	34	layer	layer	NOUN
iajs-919	51	35	of	of	ADP
iajs-919	51	36	no	no	DET
iajs-919	51	37	output	output	NOUN
iajs-919	51	38	units	unit	NOUN
iajs-919	51	39	.	.	PUNCT
iajs-919	52	1	although	although	SCONJ
iajs-919	52	2	back	back	NOUN
iajs-919	52	3	-	-	PUNCT
iajs-919	52	4	propagation	propagation	NOUN
iajs-919	52	5	can	can	AUX
iajs-919	52	6	be	be	AUX
iajs-919	52	7	applied	apply	VERB
iajs-919	52	8	to	to	ADP
iajs-919	52	9	networks	network	NOUN
iajs-919	52	10	with	with	ADP
iajs-919	52	11	any	any	DET
iajs-919	52	12	number	number	NOUN
iajs-919	52	13	of	of	ADP
iajs-919	52	14	layers	layer	NOUN
iajs-919	52	15	.	.	PUNCT
iajs-919	53	1	in	in	ADP
iajs-919	53	2	most	most	ADJ
iajs-919	53	3	applications	application	NOUN
iajs-919	53	4	a	a	DET
iajs-919	53	5	feed	feed	NOUN
iajs-919	53	6	-	-	PUNCT
iajs-919	53	7	forward	forward	NOUN
iajs-919	53	8	network	network	NOUN
iajs-919	53	9	with	with	ADP
iajs-919	53	10	a	a	DET
iajs-919	53	11	single	single	ADJ
iajs-919	53	12	layer	layer	NOUN
iajs-919	53	13	of	of	ADP
iajs-919	53	14	hidden	hide	VERB
iajs-919	53	15	units	unit	NOUN
iajs-919	53	16	is	be	AUX
iajs-919	53	17	used	use	VERB
iajs-919	53	18	with	with	ADP
iajs-919	53	19	a	a	DET
iajs-919	53	20	sigmoid	sigmoid	NOUN
iajs-919	53	21	activation	activation	NOUN
iajs-919	53	22	function	function	NOUN
iajs-919	53	23	(	(	PUNCT
iajs-919	53	24	bounded	bound	VERB
iajs-919	53	25	,	,	PUNCT
iajs-919	53	26	monotonically	monotonically	ADV
iajs-919	53	27	increasing	increase	VERB
iajs-919	53	28	and	and	CCONJ
iajs-919	53	29	differentiable	differentiable	ADJ
iajs-919	53	30	)	)	PUNCT
iajs-919	53	31	,	,	PUNCT
iajs-919	53	32	where	where	SCONJ
iajs-919	53	33	these	these	DET
iajs-919	53	34	sigmoid	sigmoid	NOUN
iajs-919	53	35	satisfy	satisfy	VERB
iajs-919	53	36	the	the	DET
iajs-919	53	37	boundary	boundary	ADJ
iajs-919	53	38	condition	condition	NOUN
iajs-919	53	39	:	:	PUNCT
iajs-919	54	1	x	x	SYM
iajs-919	54	2	x	x	X
iajs-919	54	3	lim	lim	PROPN
iajs-919	54	4	(	(	PUNCT
iajs-919	54	5	x	x	X
iajs-919	54	6	)	)	PUNCT
iajs-919	54	7	1	1	NUM
iajs-919	54	8	,	,	PUNCT
iajs-919	54	9	lim	lim	PROPN
iajs-919	54	10	(	(	PUNCT
iajs-919	54	11	x	x	X
iajs-919	54	12	)	)	PUNCT
iajs-919	54	13	0	0	NUM
iajs-919	54	14			NOUN
iajs-919	54	15			NOUN
iajs-919	54	16			X
iajs-919	54	17			NUM
iajs-919	54	18			PROPN
iajs-919	54	19			NOUN
iajs-919	54	20	)	)	PUNCT
iajs-919	54	21	[	[	PUNCT
iajs-919	54	22	5	5	NUM
iajs-919	54	23	]	]	PUNCT
iajs-919	54	24	,	,	PUNCT
iajs-919	54	25	[	[	PUNCT
iajs-919	54	26	6	6	NUM
iajs-919	54	27	]	]	PUNCT
iajs-919	54	28	for	for	ADP
iajs-919	54	29	the	the	DET
iajs-919	54	30	units	unit	NOUN
iajs-919	54	31	.	.	PUNCT
iajs-919	55	1	this	this	DET
iajs-919	55	2	activation	activation	NOUN
iajs-919	55	3	function	function	NOUN
iajs-919	55	4	also	also	ADV
iajs-919	55	5	called	call	VERB
iajs-919	55	6	transfer	transfer	NOUN
iajs-919	55	7	function	function	NOUN
iajs-919	55	8	or	or	CCONJ
iajs-919	55	9	mathematically	mathematically	ADV
iajs-919	55	10	basis	basis	NOUN
iajs-919	55	11	function	function	NOUN
iajs-919	55	12	.	.	PUNCT
iajs-919	56	1	in	in	ADP
iajs-919	56	2	this	this	DET
iajs-919	56	3	paper	paper	NOUN
iajs-919	56	4	we	we	PRON
iajs-919	56	5	depend	depend	VERB
iajs-919	56	6	the	the	DET
iajs-919	56	7	results	result	NOUN
iajs-919	56	8	in	in	ADP
iajs-919	56	9	[	[	PUNCT
iajs-919	56	10	7	7	NUM
iajs-919	56	11	]	]	PUNCT
iajs-919	56	12	for	for	ADP
iajs-919	56	13	choosing	choose	VERB
iajs-919	56	14	most	most	ADJ
iajs-919	56	15	transfer	transfer	NOUN
iajs-919	56	16	function	function	NOUN
iajs-919	56	17	,	,	PUNCT
iajs-919	56	18	which	which	PRON
iajs-919	56	19	is	be	AUX
iajs-919	56	20	'	'	PUNCT
iajs-919	56	21	tansig	tansig	NOUN
iajs-919	56	22	'	'	PUNCT
iajs-919	56	23	.	.	PUNCT
iajs-919	57	1	ihjpas	ihjpa	VERB
iajs-919	57	2	ibn	ibn	PROPN
iajs-919	57	3	alhaitham	alhaitham	PROPN
iajs-919	58	1	j.	j.	PROPN
iajs-919	59	1	fo	fo	ADP
iajs-919	59	2	r	r	NOUN
iajs-919	59	3	pure	pure	ADJ
iajs-919	59	4	&	&	CCONJ
iajs-919	59	5	appl	appl	PROPN
iajs-919	59	6	.	.	PUNCT
iajs-919	60	1	sc	sc	PROPN
iajs-919	60	2	i.	i.	PROPN
iajs-919	60	3	vo	vo	PROPN
iajs-919	60	4	l.23	l.23	PROPN
iajs-919	60	5	(	(	PUNCT
iajs-919	60	6	3	3	NUM
iajs-919	60	7	)	)	PUNCT
iajs-919	60	8	2010	2010	NUM
iajs-919	60	9	5	5	NUM
iajs-919	60	10	.	.	PUNCT
iajs-919	61	1	an	an	DET
iajs-919	61	2	example	example	NOUN
iajs-919	61	3	a	a	DET
iajs-919	61	4	feed	feed	NOUN
iajs-919	61	5	-	-	PUNCT
iajs-919	61	6	forward	forward	NOUN
iajs-919	61	7	network	network	NOUN
iajs-919	61	8	can	can	AUX
iajs-919	61	9	be	be	AUX
iajs-919	61	10	used	use	VERB
iajs-919	61	11	to	to	PART
iajs-919	61	12	approximate	approximate	VERB
iajs-919	61	13	a	a	DET
iajs-919	61	14	function	function	NOUN
iajs-919	61	15	from	from	ADP
iajs-919	61	16	data	data	PROPN
iajs-919	61	17	.	.	PUNCT
iajs-919	62	1	suppose	suppose	VERB
iajs-919	62	2	we	we	PRON
iajs-919	62	3	have	have	VERB
iajs-919	62	4	a	a	DET
iajs-919	62	5	system	system	NOUN
iajs-919	62	6	(	(	PUNCT
iajs-919	62	7	for	for	ADP
iajs-919	62	8	example	example	NOUN
iajs-919	62	9	a	a	DET
iajs-919	62	10	chemical	chemical	NOUN
iajs-919	62	11	process	process	NOUN
iajs-919	62	12	or	or	CCONJ
iajs-919	62	13	a	a	DET
iajs-919	62	14	financial	financial	ADJ
iajs-919	62	15	market	market	NOUN
iajs-919	62	16	)	)	PUNCT
iajs-919	62	17	of	of	ADP
iajs-919	62	18	which	which	PRON
iajs-919	62	19	we	we	PRON
iajs-919	62	20	want	want	VERB
iajs-919	62	21	to	to	PART
iajs-919	62	22	know	know	VERB
iajs-919	62	23	the	the	DET
iajs-919	62	24	characteristics	characteristic	NOUN
iajs-919	62	25	.	.	PUNCT
iajs-919	63	1	the	the	DET
iajs-919	63	2	input	input	NOUN
iajs-919	63	3	of	of	ADP
iajs-919	63	4	the	the	DET
iajs-919	63	5	system	system	NOUN
iajs-919	63	6	is	be	AUX
iajs-919	63	7	given	give	VERB
iajs-919	63	8	by	by	ADP
iajs-919	63	9	the	the	DET
iajs-919	63	10	two	two	NUM
iajs-919	63	11	-	-	PUNCT
iajs-919	63	12	dimensional	dimensional	ADJ
iajs-919	63	13	vector	vector	NOUN
iajs-919	63	14	(	(	PUNCT
iajs-919	63	15	x	x	X
iajs-919	63	16	,	,	PUNCT
iajs-919	63	17	y)and	y)and	NOUN
iajs-919	63	18	the	the	DET
iajs-919	63	19	output	output	NOUN
iajs-919	63	20	is	be	AUX
iajs-919	63	21	given	give	VERB
iajs-919	63	22	by	by	ADP
iajs-919	63	23	the	the	DET
iajs-919	63	24	one	one	NUM
iajs-919	63	25	-	-	PUNCT
iajs-919	63	26	dimensional	dimensional	ADJ
iajs-919	63	27	vector	vector	NOUN
iajs-919	63	28	z.	z.	PROPN
iajs-919	63	29	we	we	PRON
iajs-919	63	30	want	want	VERB
iajs-919	63	31	to	to	PART
iajs-919	63	32	estimate	estimate	VERB
iajs-919	63	33	the	the	DET
iajs-919	63	34	relationship	relationship	NOUN
iajs-919	63	35	z	z	PROPN
iajs-919	63	36	=	=	SYM
iajs-919	63	37	f(x	f(x	PROPN
iajs-919	63	38	,	,	PUNCT
iajs-919	63	39	y	y	NOUN
iajs-919	63	40	)	)	PUNCT
iajs-919	63	41	from	from	ADP
iajs-919	63	42	80	80	NUM
iajs-919	63	43	data	datum	NOUN
iajs-919	63	44	{	{	PUNCT
iajs-919	63	45	(	(	PUNCT
iajs-919	63	46	x	x	NOUN
iajs-919	63	47	,	,	PUNCT
iajs-919	63	48	y	y	PROPN
iajs-919	63	49	)	)	PUNCT
iajs-919	63	50	,	,	PUNCT
iajs-919	63	51	z	z	NOUN
iajs-919	63	52	}	}	PUNCT
iajs-919	63	53	as	as	SCONJ
iajs-919	63	54	depicted	depict	VERB
iajs-919	63	55	in	in	ADP
iajs-919	63	56	figure	figure	NOUN
iajs-919	63	57	(	(	PUNCT
iajs-919	63	58	2	2	NUM
iajs-919	63	59	)	)	PUNCT
iajs-919	63	60	(	(	PUNCT
iajs-919	63	61	top	top	NOUN
iajs-919	63	62	left	left	ADJ
iajs-919	63	63	)	)	PUNCT
iajs-919	63	64	.	.	PUNCT
iajs-919	64	1	a	a	DET
iajs-919	64	2	ann	ann	PROPN
iajs-919	64	3	was	be	AUX
iajs-919	64	4	programmed	program	VERB
iajs-919	64	5	with	with	ADP
iajs-919	64	6	two	two	NUM
iajs-919	64	7	input	input	NOUN
iajs-919	64	8	units	unit	NOUN
iajs-919	64	9	,	,	PUNCT
iajs-919	64	10	10	10	NUM
iajs-919	64	11	hidden	hide	VERB
iajs-919	64	12	units	unit	NOUN
iajs-919	64	13	with	with	ADP
iajs-919	64	14	'	'	PUNCT
iajs-919	64	15	logsig	logsig	NOUN
iajs-919	64	16	'	'	PART
iajs-919	64	17	activation	activation	NOUN
iajs-919	64	18	function	function	NOUN
iajs-919	64	19	and	and	CCONJ
iajs-919	64	20	an	an	DET
iajs-919	64	21	output	output	NOUN
iajs-919	64	22	unit	unit	NOUN
iajs-919	64	23	with	with	ADP
iajs-919	64	24	a	a	DET
iajs-919	64	25	linear	linear	ADJ
iajs-919	64	26	activation	activation	NOUN
iajs-919	64	27	function	function	NOUN
iajs-919	64	28	.	.	PUNCT
iajs-919	65	1	the	the	DET
iajs-919	65	2	network	network	NOUN
iajs-919	65	3	weights	weight	NOUN
iajs-919	65	4	are	be	AUX
iajs-919	65	5	initialized	initialize	VERB
iajs-919	65	6	to	to	ADP
iajs-919	65	7	small	small	ADJ
iajs-919	65	8	values	value	NOUN
iajs-919	65	9	and	and	CCONJ
iajs-919	65	10	the	the	DET
iajs-919	65	11	network	network	NOUN
iajs-919	65	12	is	be	AUX
iajs-919	65	13	trained	train	VERB
iajs-919	65	14	for	for	ADP
iajs-919	65	15	5000	5000	NUM
iajs-919	65	16	training	training	NOUN
iajs-919	65	17	iterations	iteration	NOUN
iajs-919	65	18	with	with	ADP
iajs-919	65	19	the	the	DET
iajs-919	65	20	back	back	ADJ
iajs-919	65	21	-	-	PUNCT
iajs-919	65	22	propagation	propagation	NOUN
iajs-919	65	23	(	(	PUNCT
iajs-919	65	24	gradient	gradient	ADJ
iajs-919	65	25	descent	descent	NOUN
iajs-919	65	26	)	)	PUNCT
iajs-919	65	27	training	training	NOUN
iajs-919	65	28	rule	rule	NOUN
iajs-919	65	29	.	.	PUNCT
iajs-919	66	1	the	the	DET
iajs-919	66	2	relationship	relationship	NOUN
iajs-919	66	3	between	between	ADP
iajs-919	66	4	(	(	PUNCT
iajs-919	66	5	x	x	NOUN
iajs-919	66	6	,	,	PUNCT
iajs-919	66	7	y	y	PROPN
iajs-919	66	8	)	)	PUNCT
iajs-919	66	9	and	and	CCONJ
iajs-919	66	10	z	z	NOUN
iajs-919	66	11	as	as	SCONJ
iajs-919	66	12	represented	represent	VERB
iajs-919	66	13	by	by	ADP
iajs-919	66	14	the	the	DET
iajs-919	66	15	network	network	NOUN
iajs-919	66	16	is	be	AUX
iajs-919	66	17	shown	show	VERB
iajs-919	66	18	in	in	ADP
iajs-919	66	19	figure	figure	NOUN
iajs-919	66	20	(	(	PUNCT
iajs-919	66	21	2	2	NUM
iajs-919	66	22	)	)	PUNCT
iajs-919	66	23	(	(	PUNCT
iajs-919	66	24	top	top	ADJ
iajs-919	66	25	right	right	NOUN
iajs-919	66	26	)	)	PUNCT
iajs-919	66	27	,	,	PUNCT
iajs-919	66	28	while	while	SCONJ
iajs-919	66	29	the	the	DET
iajs-919	66	30	function	function	NOUN
iajs-919	66	31	which	which	PRON
iajs-919	66	32	generated	generate	VERB
iajs-919	66	33	the	the	DET
iajs-919	66	34	training	training	NOUN
iajs-919	66	35	samples	sample	NOUN
iajs-919	66	36	is	be	AUX
iajs-919	66	37	given	give	VERB
iajs-919	66	38	in	in	ADP
iajs-919	66	39	figure	figure	NOUN
iajs-919	66	40	(	(	PUNCT
iajs-919	66	41	2	2	NUM
iajs-919	66	42	)	)	PUNCT
iajs-919	66	43	(	(	PUNCT
iajs-919	66	44	bottom	bottom	NOUN
iajs-919	66	45	left	left	ADJ
iajs-919	66	46	)	)	PUNCT
iajs-919	66	47	.	.	PUNCT
iajs-919	67	1	the	the	DET
iajs-919	67	2	approximation	approximation	NOUN
iajs-919	67	3	error	error	NOUN
iajs-919	67	4	is	be	AUX
iajs-919	67	5	depicted	depict	VERB
iajs-919	67	6	in	in	ADP
iajs-919	67	7	figure	figure	NOUN
iajs-919	67	8	(	(	PUNCT
iajs-919	67	9	2	2	NUM
iajs-919	67	10	)	)	PUNCT
iajs-919	67	11	(	(	PUNCT
iajs-919	67	12	bottom	bottom	ADJ
iajs-919	67	13	right	right	NOUN
iajs-919	67	14	)	)	PUNCT
iajs-919	67	15	.	.	PUNCT
iajs-919	68	1	we	we	PRON
iajs-919	68	2	see	see	VERB
iajs-919	68	3	that	that	SCONJ
iajs-919	68	4	the	the	DET
iajs-919	68	5	error	error	NOUN
iajs-919	68	6	is	be	AUX
iajs-919	68	7	higher	high	ADJ
iajs-919	68	8	at	at	ADP
iajs-919	68	9	the	the	DET
iajs-919	68	10	edges	edge	NOUN
iajs-919	68	11	of	of	ADP
iajs-919	68	12	the	the	DET
iajs-919	68	13	region	region	NOUN
iajs-919	68	14	within	within	ADP
iajs-919	68	15	which	which	PRON
iajs-919	68	16	the	the	DET
iajs-919	68	17	training	training	NOUN
iajs-919	68	18	samples	sample	NOUN
iajs-919	68	19	were	be	AUX
iajs-919	68	20	generated	generate	VERB
iajs-919	68	21	.	.	PUNCT
iajs-919	69	1	the	the	DET
iajs-919	69	2	network	network	NOUN
iajs-919	69	3	is	be	AUX
iajs-919	69	4	considerably	considerably	ADV
iajs-919	69	5	better	well	ADJ
iajs-919	69	6	at	at	ADP
iajs-919	69	7	interpolation	interpolation	NOUN
iajs-919	69	8	than	than	ADP
iajs-919	69	9	extrapolation	extrapolation	NOUN
iajs-919	69	10	.	.	PUNCT
iajs-919	70	1	6	6	X
iajs-919	70	2	.	.	X
iajs-919	71	1	how	how	SCONJ
iajs-919	71	2	good	good	ADJ
iajs-919	71	3	are	be	AUX
iajs-919	71	4	multi	multi	ADJ
iajs-919	71	5	-	-	ADJ
iajs-919	71	6	layer	layer	ADJ
iajs-919	71	7	feed	feed	NOUN
iajs-919	71	8	-	-	PUNCT
iajs-919	71	9	forward	forward	NOUN
iajs-919	71	10	networks	network	NOUN
iajs-919	71	11	?	?	PUNCT
iajs-919	72	1	from	from	ADP
iajs-919	72	2	the	the	DET
iajs-919	72	3	example	example	NOUN
iajs-919	72	4	shown	show	VERB
iajs-919	72	5	in	in	ADP
iajs-919	72	6	figure	figure	NOUN
iajs-919	72	7	(	(	PUNCT
iajs-919	72	8	2	2	X
iajs-919	72	9	)	)	PUNCT
iajs-919	72	10	it	it	PRON
iajs-919	72	11	is	be	AUX
iajs-919	72	12	clear	clear	ADJ
iajs-919	72	13	that	that	SCONJ
iajs-919	72	14	the	the	DET
iajs-919	72	15	approximation	approximation	NOUN
iajs-919	72	16	of	of	ADP
iajs-919	72	17	the	the	DET
iajs-919	72	18	network	network	NOUN
iajs-919	72	19	is	be	AUX
iajs-919	72	20	not	not	PART
iajs-919	72	21	perfect	perfect	ADJ
iajs-919	72	22	.	.	PUNCT
iajs-919	73	1	the	the	DET
iajs-919	73	2	resulting	result	VERB
iajs-919	73	3	approximation	approximation	NOUN
iajs-919	73	4	error	error	NOUN
iajs-919	73	5	is	be	AUX
iajs-919	73	6	influenced	influence	VERB
iajs-919	73	7	by	by	ADP
iajs-919	73	8	:	:	PUNCT
iajs-919	73	9	1	1	X
iajs-919	73	10	.	.	X
iajs-919	74	1	the	the	DET
iajs-919	74	2	training	training	NOUN
iajs-919	74	3	algorithm	algorithm	NOUN
iajs-919	74	4	and	and	CCONJ
iajs-919	74	5	number	number	NOUN
iajs-919	74	6	of	of	ADP
iajs-919	74	7	iterations	iteration	NOUN
iajs-919	74	8	:	:	PUNCT
iajs-919	74	9	this	this	PRON
iajs-919	74	10	determines	determine	VERB
iajs-919	74	11	how	how	SCONJ
iajs-919	74	12	good	good	ADJ
iajs-919	74	13	the	the	DET
iajs-919	74	14	error	error	NOUN
iajs-919	74	15	on	on	ADP
iajs-919	74	16	the	the	DET
iajs-919	74	17	training	training	NOUN
iajs-919	74	18	set	set	NOUN
iajs-919	74	19	is	be	AUX
iajs-919	74	20	minimized	minimize	VERB
iajs-919	74	21	.	.	PUNCT
iajs-919	75	1	2	2	X
iajs-919	75	2	.	.	X
iajs-919	75	3	the	the	DET
iajs-919	75	4	number	number	NOUN
iajs-919	75	5	of	of	ADP
iajs-919	75	6	training	training	NOUN
iajs-919	75	7	samples	sample	NOUN
iajs-919	75	8	:	:	PUNCT
iajs-919	75	9	this	this	PRON
iajs-919	75	10	determines	determine	VERB
iajs-919	75	11	how	how	SCONJ
iajs-919	75	12	good	good	ADJ
iajs-919	75	13	the	the	DET
iajs-919	75	14	training	training	NOUN
iajs-919	75	15	samples	sample	NOUN
iajs-919	75	16	represent	represent	VERB
iajs-919	75	17	the	the	DET
iajs-919	75	18	actual	actual	ADJ
iajs-919	75	19	function	function	NOUN
iajs-919	75	20	.	.	PUNCT
iajs-919	76	1	3	3	X
iajs-919	76	2	.	.	X
iajs-919	76	3	the	the	DET
iajs-919	76	4	number	number	NOUN
iajs-919	76	5	of	of	ADP
iajs-919	76	6	hidden	hidden	ADJ
iajs-919	76	7	units	unit	NOUN
iajs-919	76	8	:	:	PUNCT
iajs-919	76	9	this	this	PRON
iajs-919	76	10	determines	determine	VERB
iajs-919	76	11	the	the	DET
iajs-919	76	12	"	"	PUNCT
iajs-919	76	13	expressive	expressive	ADJ
iajs-919	76	14	power	power	NOUN
iajs-919	76	15	"	"	PUNCT
iajs-919	76	16	of	of	ADP
iajs-919	76	17	the	the	DET
iajs-919	76	18	network	network	NOUN
iajs-919	76	19	.	.	PUNCT
iajs-919	77	1	for	for	ADP
iajs-919	77	2	"	"	PUNCT
iajs-919	77	3	smooth	smooth	ADJ
iajs-919	77	4	"	"	PUNCT
iajs-919	77	5	functions	function	NOUN
iajs-919	77	6	only	only	ADV
iajs-919	77	7	a	a	DET
iajs-919	77	8	few	few	ADJ
iajs-919	77	9	number	number	NOUN
iajs-919	77	10	of	of	ADP
iajs-919	77	11	hidden	hide	VERB
iajs-919	77	12	units	unit	NOUN
iajs-919	77	13	are	be	AUX
iajs-919	77	14	needed	need	VERB
iajs-919	77	15	(	(	PUNCT
iajs-919	77	16	2n+1	2n+1	NOUN
iajs-919	77	17	)	)	PUNCT
iajs-919	78	1	[	[	X
iajs-919	78	2	7	7	NUM
iajs-919	78	3	]	]	PUNCT
iajs-919	78	4	,	,	PUNCT
iajs-919	78	5	for	for	ADP
iajs-919	78	6	wildly	wildly	ADV
iajs-919	78	7	fluctuating	fluctuate	VERB
iajs-919	78	8	functions	function	NOUN
iajs-919	78	9	more	more	ADV
iajs-919	78	10	hidden	hide	VERB
iajs-919	78	11	units	unit	NOUN
iajs-919	78	12	will	will	AUX
iajs-919	78	13	be	be	AUX
iajs-919	78	14	needed	need	VERB
iajs-919	78	15	.	.	PUNCT
iajs-919	79	1	in	in	ADP
iajs-919	79	2	this	this	DET
iajs-919	79	3	paper	paper	NOUN
iajs-919	79	4	,	,	PUNCT
iajs-919	79	5	we	we	PRON
iajs-919	79	6	particularly	particularly	ADV
iajs-919	79	7	address	address	VERB
iajs-919	79	8	the	the	DET
iajs-919	79	9	effect	effect	NOUN
iajs-919	79	10	of	of	ADP
iajs-919	79	11	the	the	DET
iajs-919	79	12	number	number	NOUN
iajs-919	79	13	of	of	ADP
iajs-919	79	14	training	training	NOUN
iajs-919	79	15	samples	sample	NOUN
iajs-919	79	16	.	.	PUNCT
iajs-919	80	1	we	we	PRON
iajs-919	80	2	first	first	ADV
iajs-919	80	3	have	have	VERB
iajs-919	80	4	to	to	PART
iajs-919	80	5	define	define	VERB
iajs-919	80	6	an	an	DET
iajs-919	80	7	adequate	adequate	ADJ
iajs-919	80	8	error	error	NOUN
iajs-919	80	9	measure	measure	NOUN
iajs-919	80	10	.	.	PUNCT
iajs-919	81	1	all	all	DET
iajs-919	81	2	neural	neural	ADJ
iajs-919	81	3	network	network	NOUN
iajs-919	81	4	training	training	NOUN
iajs-919	81	5	algorithms	algorithm	NOUN
iajs-919	81	6	try	try	VERB
iajs-919	81	7	to	to	PART
iajs-919	81	8	minimize	minimize	VERB
iajs-919	81	9	the	the	DET
iajs-919	81	10	error	error	NOUN
iajs-919	81	11	of	of	ADP
iajs-919	81	12	the	the	DET
iajs-919	81	13	set	set	NOUN
iajs-919	81	14	of	of	ADP
iajs-919	81	15	training	training	NOUN
iajs-919	81	16	samples	sample	NOUN
iajs-919	81	17	which	which	PRON
iajs-919	81	18	are	be	AUX
iajs-919	81	19	available	available	ADJ
iajs-919	81	20	for	for	ADP
iajs-919	81	21	training	train	VERB
iajs-919	81	22	the	the	DET
iajs-919	81	23	network	network	NOUN
iajs-919	81	24	.	.	PUNCT
iajs-919	82	1	the	the	DET
iajs-919	82	2	average	average	ADJ
iajs-919	82	3	error	error	NOUN
iajs-919	82	4	per	per	ADP
iajs-919	82	5	training	training	NOUN
iajs-919	82	6	sample	sample	NOUN
iajs-919	82	7	is	be	AUX
iajs-919	82	8	defined	define	VERB
iajs-919	82	9	as	as	ADP
iajs-919	82	10	the	the	DET
iajs-919	82	11	training	training	NOUN
iajs-919	82	12	error	error	NOUN
iajs-919	82	13	rate	rate	NOUN
iajs-919	82	14	:	:	PUNCT
iajs-919	82	15	elearning	elearning	NOUN
iajs-919	82	16	=	=	SYM
iajs-919	82	17	(	(	PUNCT
iajs-919	82	18	1	1	NUM
iajs-919	82	19	/	/	SYM
iajs-919	82	20	plearning	plearning	NOUN
iajs-919	82	21	)	)	PUNCT
iajs-919	82	22	∑	∑	PUNCT
iajs-919	82	23	learningp	learningp	VERB
iajs-919	82	24	1	1	NUM
iajs-919	82	25	=	=	PROPN
iajs-919	82	26	p	p	X
iajs-919	82	27	pe	pe	INTJ
iajs-919	82	28	in	in	ADP
iajs-919	82	29	which	which	PRON
iajs-919	82	30	e	e	X
iajs-919	82	31	p	p	NOUN
iajs-919	82	32	is	be	AUX
iajs-919	82	33	the	the	DET
iajs-919	82	34	difference	difference	NOUN
iajs-919	82	35	between	between	ADP
iajs-919	82	36	the	the	DET
iajs-919	82	37	desired	desire	VERB
iajs-919	82	38	output	output	NOUN
iajs-919	82	39	value	value	NOUN
iajs-919	82	40	and	and	CCONJ
iajs-919	82	41	the	the	DET
iajs-919	82	42	actual	actual	ADJ
iajs-919	82	43	network	network	NOUN
iajs-919	82	44	output	output	NOUN
iajs-919	82	45	for	for	ADP
iajs-919	82	46	the	the	DET
iajs-919	82	47	training	training	NOUN
iajs-919	82	48	samples	sample	NOUN
iajs-919	82	49	:	:	PUNCT
iajs-919	83	1	e	e	X
iajs-919	83	2	p	p	X
iajs-919	83	3	=	=	PUNCT
iajs-919	83	4	(	(	PUNCT
iajs-919	83	5	1/2	1/2	NUM
iajs-919	83	6	)	)	PUNCT
iajs-919	83	7	2p	2p	NUM
iajs-919	83	8	o	o	NOUN
iajs-919	83	9	n	n	CCONJ
iajs-919	83	10	1	1	NUM
iajs-919	83	11	=	=	SYM
iajs-919	83	12	o	o	X
iajs-919	83	13	p	p	X
iajs-919	83	14	o	o	NOUN
iajs-919	83	15	)	)	PUNCT
iajs-919	83	16	yd(∑	yd(∑	NOUN
iajs-919	83	17	this	this	PRON
iajs-919	83	18	is	be	AUX
iajs-919	83	19	the	the	DET
iajs-919	83	20	error	error	NOUN
iajs-919	83	21	which	which	PRON
iajs-919	83	22	is	be	AUX
iajs-919	83	23	measurable	measurable	ADJ
iajs-919	83	24	during	during	ADP
iajs-919	83	25	the	the	DET
iajs-919	83	26	training	training	NOUN
iajs-919	83	27	process	process	NOUN
iajs-919	83	28	.	.	PUNCT
iajs-919	84	1	it	it	PRON
iajs-919	84	2	is	be	AUX
iajs-919	84	3	obvious	obvious	ADJ
iajs-919	84	4	that	that	SCONJ
iajs-919	84	5	the	the	DET
iajs-919	84	6	actual	actual	ADJ
iajs-919	84	7	error	error	NOUN
iajs-919	84	8	of	of	ADP
iajs-919	84	9	the	the	DET
iajs-919	84	10	network	network	NOUN
iajs-919	84	11	will	will	AUX
iajs-919	84	12	differ	differ	VERB
iajs-919	84	13	from	from	ADP
iajs-919	84	14	the	the	DET
iajs-919	84	15	error	error	NOUN
iajs-919	84	16	at	at	ADP
iajs-919	84	17	the	the	DET
iajs-919	84	18	locations	location	NOUN
iajs-919	84	19	of	of	ADP
iajs-919	84	20	the	the	DET
iajs-919	84	21	training	training	NOUN
iajs-919	84	22	samples	sample	NOUN
iajs-919	84	23	.	.	PUNCT
iajs-919	85	1	the	the	DET
iajs-919	85	2	difference	difference	NOUN
iajs-919	85	3	between	between	ADP
iajs-919	85	4	the	the	DET
iajs-919	85	5	desired	desire	VERB
iajs-919	85	6	output	output	NOUN
iajs-919	85	7	value	value	NOUN
iajs-919	85	8	and	and	CCONJ
iajs-919	85	9	the	the	DET
iajs-919	85	10	actual	actual	ADJ
iajs-919	85	11	network	network	NOUN
iajs-919	85	12	output	output	NOUN
iajs-919	85	13	should	should	AUX
iajs-919	85	14	be	be	AUX
iajs-919	85	15	integrated	integrate	VERB
iajs-919	85	16	over	over	ADP
iajs-919	85	17	the	the	DET
iajs-919	85	18	entire	entire	ADJ
iajs-919	85	19	input	input	NOUN
iajs-919	85	20	domain	domain	NOUN
iajs-919	85	21	to	to	PART
iajs-919	85	22	give	give	VERB
iajs-919	85	23	a	a	DET
iajs-919	85	24	more	more	ADV
iajs-919	85	25	realistic	realistic	ADJ
iajs-919	85	26	error	error	NOUN
iajs-919	85	27	measure	measure	NOUN
iajs-919	85	28	.	.	PUNCT
iajs-919	86	1	this	this	DET
iajs-919	86	2	integral	integral	NOUN
iajs-919	86	3	can	can	AUX
iajs-919	86	4	be	be	AUX
iajs-919	86	5	estimated	estimate	VERB
iajs-919	86	6	if	if	SCONJ
iajs-919	86	7	we	we	PRON
iajs-919	86	8	have	have	VERB
iajs-919	86	9	a	a	DET
iajs-919	86	10	large	large	ADJ
iajs-919	86	11	set	set	NOUN
iajs-919	86	12	of	of	ADP
iajs-919	86	13	samples	sample	NOUN
iajs-919	86	14	:	:	PUNCT
iajs-919	86	15	the	the	DET
iajs-919	86	16	test	test	NOUN
iajs-919	86	17	set	set	NOUN
iajs-919	86	18	.	.	PUNCT
iajs-919	87	1	we	we	PRON
iajs-919	87	2	now	now	ADV
iajs-919	87	3	define	define	VERB
iajs-919	87	4	the	the	DET
iajs-919	87	5	test	test	NOUN
iajs-919	87	6	error	error	NOUN
iajs-919	87	7	rate	rate	NOUN
iajs-919	87	8	as	as	ADP
iajs-919	87	9	the	the	DET
iajs-919	87	10	average	average	ADJ
iajs-919	87	11	error	error	NOUN
iajs-919	87	12	of	of	ADP
iajs-919	87	13	the	the	DET
iajs-919	87	14	test	test	NOUN
iajs-919	87	15	set	set	NOUN
iajs-919	87	16	:	:	PUNCT
iajs-919	87	17	etest	et	ADJ
iajs-919	87	18	=	=	SYM
iajs-919	87	19	(	(	PUNCT
iajs-919	87	20	1	1	NUM
iajs-919	87	21	/	/	SYM
iajs-919	87	22	ptest	ptest	NOUN
iajs-919	87	23	)	)	PUNCT
iajs-919	88	1	∑	∑	PUNCT
iajs-919	88	2	testp	testp	VERB
iajs-919	88	3	1	1	NUM
iajs-919	88	4	=	=	PROPN
iajs-919	88	5	p	p	X
iajs-919	88	6	pe	pe	X
iajs-919	88	7	.	.	PUNCT
iajs-919	89	1	ihjpas	ihjpa	VERB
iajs-919	89	2	ibn	ibn	PROPN
iajs-919	89	3	alhaitham	alhaitham	PROPN
iajs-919	90	1	j.	j.	PROPN
iajs-919	91	1	fo	fo	ADP
iajs-919	91	2	r	r	NOUN
iajs-919	91	3	pure	pure	ADJ
iajs-919	91	4	&	&	CCONJ
iajs-919	91	5	appl	appl	PROPN
iajs-919	91	6	.	.	PUNCT
iajs-919	92	1	sc	sc	PROPN
iajs-919	92	2	i.	i.	PROPN
iajs-919	92	3	vo	vo	PROPN
iajs-919	92	4	l.23	l.23	PROPN
iajs-919	92	5	(	(	PUNCT
iajs-919	92	6	3	3	NUM
iajs-919	92	7	)	)	PUNCT
iajs-919	92	8	2010	2010	NUM
iajs-919	92	9	in	in	ADP
iajs-919	92	10	the	the	DET
iajs-919	92	11	following	follow	VERB
iajs-919	92	12	section	section	NOUN
iajs-919	92	13	we	we	PRON
iajs-919	92	14	will	will	AUX
iajs-919	92	15	see	see	VERB
iajs-919	92	16	how	how	SCONJ
iajs-919	92	17	these	these	DET
iajs-919	92	18	error	error	NOUN
iajs-919	92	19	measures	measure	NOUN
iajs-919	92	20	depend	depend	VERB
iajs-919	92	21	on	on	ADP
iajs-919	92	22	training	training	NOUN
iajs-919	92	23	set	set	VERB
iajs-919	92	24	size	size	NOUN
iajs-919	92	25	and	and	CCONJ
iajs-919	92	26	number	number	NOUN
iajs-919	92	27	of	of	ADP
iajs-919	92	28	hidden	hidden	ADJ
iajs-919	92	29	units	unit	NOUN
iajs-919	92	30	.	.	PUNCT
iajs-919	93	1	7	7	X
iajs-919	93	2	.	.	X
iajs-919	93	3	the	the	DET
iajs-919	93	4	effect	effect	NOUN
iajs-919	93	5	of	of	ADP
iajs-919	93	6	the	the	DET
iajs-919	93	7	number	number	NOUN
iajs-919	93	8	of	of	ADP
iajs-919	93	9	training	training	NOUN
iajs-919	93	10	samples	sample	NOUN
iajs-919	93	11	s	s	PART
iajs-919	93	12	problems	problem	NOUN
iajs-919	93	13	are	be	AUX
iajs-919	93	14	used	use	VERB
iajs-919	93	15	as	as	ADP
iajs-919	93	16	example	example	NOUN
iajs-919	93	17	:	:	PUNCT
iajs-919	93	18	a	a	DET
iajs-919	93	19	function	function	NOUN
iajs-919	93	20	yi	yi	NOUN
iajs-919	93	21	=	=	SYM
iajs-919	93	22	fi(x	fi(x	NUM
iajs-919	93	23	)	)	PUNCT
iajs-919	93	24	,	,	PUNCT
iajs-919	93	25	i=1,2,3,4	i=1,2,3,4	PROPN
iajs-919	93	26	,	,	PUNCT
iajs-919	93	27	has	have	VERB
iajs-919	93	28	to	to	PART
iajs-919	93	29	be	be	AUX
iajs-919	93	30	approximated	approximate	VERB
iajs-919	93	31	with	with	ADP
iajs-919	93	32	a	a	DET
iajs-919	93	33	ann	ann	PROPN
iajs-919	93	34	.	.	PUNCT
iajs-919	94	1	a	a	DET
iajs-919	94	2	neural	neural	ADJ
iajs-919	94	3	network	network	NOUN
iajs-919	94	4	is	be	AUX
iajs-919	94	5	created	create	VERB
iajs-919	94	6	with	with	ADP
iajs-919	94	7	an	an	DET
iajs-919	94	8	input	input	NOUN
iajs-919	94	9	,	,	PUNCT
iajs-919	94	10	3	3	NUM
iajs-919	94	11	hidden	hide	VERB
iajs-919	94	12	units	unit	NOUN
iajs-919	94	13	with	with	ADP
iajs-919	94	14	'	'	PUNCT
iajs-919	94	15	tansig	tansig	NOUN
iajs-919	94	16	'	'	PUNCT
iajs-919	94	17	activation	activation	NOUN
iajs-919	94	18	function	function	NOUN
iajs-919	94	19	and	and	CCONJ
iajs-919	94	20	a	a	DET
iajs-919	94	21	linear	linear	ADJ
iajs-919	94	22	output	output	NOUN
iajs-919	94	23	unit	unit	NOUN
iajs-919	94	24	in	in	ADP
iajs-919	94	25	first	first	ADJ
iajs-919	94	26	three	three	NUM
iajs-919	94	27	problems	problem	NOUN
iajs-919	94	28	and	and	CCONJ
iajs-919	94	29	two	two	NUM
iajs-919	94	30	input	input	NOUN
iajs-919	94	31	unit	unit	NOUN
iajs-919	94	32	,	,	PUNCT
iajs-919	94	33	5	5	NUM
iajs-919	94	34	hidden	hide	VERB
iajs-919	94	35	units	unit	NOUN
iajs-919	94	36	with	with	ADP
iajs-919	94	37	'	'	PUNCT
iajs-919	94	38	tansig	tansig	NOUN
iajs-919	94	39	'	'	PUNCT
iajs-919	94	40	activation	activation	NOUN
iajs-919	94	41	function	function	NOUN
iajs-919	94	42	and	and	CCONJ
iajs-919	94	43	a	a	DET
iajs-919	94	44	linear	linear	ADJ
iajs-919	94	45	output	output	NOUN
iajs-919	94	46	unit	unit	NOUN
iajs-919	94	47	in	in	ADP
iajs-919	94	48	fourth	fourth	ADJ
iajs-919	94	49	problem	problem	NOUN
iajs-919	94	50	.	.	PUNCT
iajs-919	95	1	suppose	suppose	VERB
iajs-919	95	2	we	we	PRON
iajs-919	95	3	have	have	VERB
iajs-919	95	4	l	l	NOUN
iajs-919	95	5	number	number	NOUN
iajs-919	95	6	of	of	ADP
iajs-919	95	7	training	training	NOUN
iajs-919	95	8	samples	sample	NOUN
iajs-919	95	9	variant	variant	VERB
iajs-919	95	10	from	from	ADP
iajs-919	95	11	1	1	NUM
iajs-919	95	12	to	to	PART
iajs-919	95	13	100	100	NUM
iajs-919	95	14	.	.	PUNCT
iajs-919	96	1	the	the	DET
iajs-919	96	2	networks	network	NOUN
iajs-919	96	3	are	be	AUX
iajs-919	96	4	trained	train	VERB
iajs-919	96	5	with	with	ADP
iajs-919	96	6	these	these	DET
iajs-919	96	7	samples	sample	NOUN
iajs-919	96	8	.	.	PUNCT
iajs-919	97	1	training	training	NOUN
iajs-919	97	2	is	be	AUX
iajs-919	97	3	stopped	stop	VERB
iajs-919	97	4	when	when	SCONJ
iajs-919	97	5	the	the	DET
iajs-919	97	6	error	error	NOUN
iajs-919	97	7	does	do	AUX
iajs-919	97	8	not	not	PART
iajs-919	97	9	decrease	decrease	VERB
iajs-919	97	10	anymore	anymore	ADV
iajs-919	97	11	and	and	CCONJ
iajs-919	97	12	the	the	DET
iajs-919	97	13	number	number	NOUN
iajs-919	97	14	of	of	ADP
iajs-919	97	15	testing	testing	NOUN
iajs-919	97	16	sample	sample	NOUN
iajs-919	97	17	is	be	AUX
iajs-919	97	18	100	100	NUM
iajs-919	97	19	–	–	PUNCT
iajs-919	97	20	l.	l.	NOUN
iajs-919	97	21	the	the	DET
iajs-919	97	22	training	training	NOUN
iajs-919	97	23	samples	sample	NOUN
iajs-919	97	24	and	and	CCONJ
iajs-919	97	25	the	the	DET
iajs-919	97	26	testing	testing	NOUN
iajs-919	97	27	sample	sample	NOUN
iajs-919	97	28	of	of	ADP
iajs-919	97	29	the	the	DET
iajs-919	97	30	network	network	NOUN
iajs-919	97	31	are	be	AUX
iajs-919	97	32	shown	show	VERB
iajs-919	97	33	in	in	ADP
iajs-919	97	34	the	the	DET
iajs-919	97	35	same	same	ADJ
iajs-919	97	36	figure	figure	NOUN
iajs-919	97	37	.	.	PUNCT
iajs-919	98	1	we	we	PRON
iajs-919	98	2	see	see	VERB
iajs-919	98	3	that	that	SCONJ
iajs-919	98	4	in	in	ADP
iajs-919	98	5	the	the	DET
iajs-919	98	6	interval	interval	NOUN
iajs-919	98	7	[	[	X
iajs-919	98	8	1	1	NUM
iajs-919	98	9	,	,	PUNCT
iajs-919	98	10	20	20	NUM
iajs-919	98	11	]	]	PUNCT
iajs-919	98	12	and	and	CCONJ
iajs-919	99	1	[	[	X
iajs-919	99	2	90	90	NUM
iajs-919	99	3	,	,	PUNCT
iajs-919	99	4	100	100	NUM
iajs-919	99	5	]	]	PUNCT
iajs-919	99	6	etraining	etraining	NOUN
iajs-919	99	7	is	be	AUX
iajs-919	99	8	small	small	ADJ
iajs-919	99	9	(	(	PUNCT
iajs-919	99	10	the	the	DET
iajs-919	99	11	network	network	NOUN
iajs-919	99	12	output	output	NOUN
iajs-919	99	13	goes	go	VERB
iajs-919	99	14	perfectly	perfectly	ADV
iajs-919	99	15	through	through	ADP
iajs-919	99	16	the	the	DET
iajs-919	99	17	training	training	NOUN
iajs-919	99	18	samples	sample	NOUN
iajs-919	99	19	)	)	PUNCT
iajs-919	99	20	but	but	CCONJ
iajs-919	99	21	etest	et	ADJ
iajs-919	99	22	is	be	AUX
iajs-919	99	23	large	large	ADJ
iajs-919	99	24	:	:	PUNCT
iajs-919	99	25	the	the	DET
iajs-919	99	26	test	test	NOUN
iajs-919	99	27	error	error	NOUN
iajs-919	99	28	of	of	ADP
iajs-919	99	29	the	the	DET
iajs-919	99	30	network	network	NOUN
iajs-919	99	31	is	be	AUX
iajs-919	99	32	large	large	ADJ
iajs-919	99	33	.	.	PUNCT
iajs-919	100	1	this	this	DET
iajs-919	100	2	experiment	experiment	NOUN
iajs-919	100	3	was	be	AUX
iajs-919	100	4	carried	carry	VERB
iajs-919	100	5	out	out	ADP
iajs-919	100	6	with	with	ADP
iajs-919	100	7	other	other	ADJ
iajs-919	100	8	training	training	NOUN
iajs-919	100	9	set	set	NOUN
iajs-919	100	10	sizes	size	NOUN
iajs-919	100	11	,	,	PUNCT
iajs-919	100	12	where	where	SCONJ
iajs-919	100	13	for	for	ADP
iajs-919	100	14	each	each	DET
iajs-919	100	15	training	training	NOUN
iajs-919	100	16	set	set	VERB
iajs-919	100	17	size	size	NOUN
iajs-919	100	18	the	the	DET
iajs-919	100	19	experiment	experiment	NOUN
iajs-919	100	20	was	be	AUX
iajs-919	100	21	repeated	repeat	VERB
iajs-919	100	22	10	10	NUM
iajs-919	100	23	times	time	NOUN
iajs-919	100	24	.	.	PUNCT
iajs-919	101	1	the	the	DET
iajs-919	101	2	average	average	ADJ
iajs-919	101	3	training	training	NOUN
iajs-919	101	4	and	and	CCONJ
iajs-919	101	5	test	test	NOUN
iajs-919	101	6	error	error	NOUN
iajs-919	101	7	rates	rate	NOUN
iajs-919	101	8	as	as	ADP
iajs-919	101	9	a	a	DET
iajs-919	101	10	function	function	NOUN
iajs-919	101	11	of	of	ADP
iajs-919	101	12	the	the	DET
iajs-919	101	13	training	training	NOUN
iajs-919	101	14	and	and	CCONJ
iajs-919	101	15	test	test	NOUN
iajs-919	101	16	set	set	VERB
iajs-919	101	17	size	size	NOUN
iajs-919	101	18	are	be	AUX
iajs-919	101	19	given	give	VERB
iajs-919	101	20	in	in	ADP
iajs-919	101	21	figure	figure	NOUN
iajs-919	101	22	(	(	PUNCT
iajs-919	101	23	3	3	NUM
iajs-919	101	24	)	)	PUNCT
iajs-919	101	25	.	.	PUNCT
iajs-919	102	1	note	note	VERB
iajs-919	102	2	that	that	SCONJ
iajs-919	102	3	the	the	DET
iajs-919	102	4	training	training	NOUN
iajs-919	102	5	error	error	NOUN
iajs-919	102	6	increases	increase	VERB
iajs-919	102	7	with	with	ADP
iajs-919	102	8	an	an	DET
iajs-919	102	9	increasing	increase	VERB
iajs-919	102	10	training	training	NOUN
iajs-919	102	11	set	set	NOUN
iajs-919	102	12	size	size	NOUN
iajs-919	102	13	,	,	PUNCT
iajs-919	102	14	and	and	CCONJ
iajs-919	102	15	the	the	DET
iajs-919	102	16	test	test	NOUN
iajs-919	102	17	error	error	NOUN
iajs-919	102	18	decreases	decrease	VERB
iajs-919	102	19	with	with	ADP
iajs-919	102	20	increasing	increase	VERB
iajs-919	102	21	training	training	NOUN
iajs-919	102	22	set	set	VERB
iajs-919	102	23	size	size	NOUN
iajs-919	102	24	.	.	PUNCT
iajs-919	103	1	a	a	DET
iajs-919	103	2	low	low	ADJ
iajs-919	103	3	training	training	NOUN
iajs-919	103	4	error	error	NOUN
iajs-919	103	5	on	on	ADP
iajs-919	103	6	the	the	DET
iajs-919	103	7	(	(	PUNCT
iajs-919	103	8	small	small	ADJ
iajs-919	103	9	)	)	PUNCT
iajs-919	103	10	training	training	NOUN
iajs-919	103	11	set	set	NOUN
iajs-919	103	12	is	be	AUX
iajs-919	103	13	no	no	DET
iajs-919	103	14	guarantee	guarantee	NOUN
iajs-919	103	15	for	for	ADP
iajs-919	103	16	a	a	DET
iajs-919	103	17	good	good	ADJ
iajs-919	103	18	network	network	NOUN
iajs-919	103	19	performance	performance	NOUN
iajs-919	103	20	!	!	PUNCT
iajs-919	104	1	with	with	ADP
iajs-919	104	2	increasing	increase	VERB
iajs-919	104	3	number	number	NOUN
iajs-919	104	4	of	of	ADP
iajs-919	104	5	training	training	NOUN
iajs-919	104	6	samples	sample	NOUN
iajs-919	104	7	the	the	DET
iajs-919	104	8	two	two	NUM
iajs-919	104	9	error	error	NOUN
iajs-919	104	10	rates	rate	NOUN
iajs-919	104	11	converge	converge	VERB
iajs-919	104	12	to	to	ADP
iajs-919	104	13	the	the	DET
iajs-919	104	14	same	same	ADJ
iajs-919	104	15	value	value	NOUN
iajs-919	104	16	.	.	PUNCT
iajs-919	105	1	this	this	DET
iajs-919	105	2	value	value	NOUN
iajs-919	105	3	depends	depend	VERB
iajs-919	105	4	on	on	ADP
iajs-919	105	5	the	the	DET
iajs-919	105	6	representational	representational	ADJ
iajs-919	105	7	power	power	NOUN
iajs-919	105	8	of	of	ADP
iajs-919	105	9	the	the	DET
iajs-919	105	10	network	network	NOUN
iajs-919	105	11	:	:	PUNCT
iajs-919	105	12	given	give	VERB
iajs-919	105	13	the	the	DET
iajs-919	105	14	optimal	optimal	ADJ
iajs-919	105	15	weights	weight	NOUN
iajs-919	105	16	,	,	PUNCT
iajs-919	105	17	how	how	SCONJ
iajs-919	105	18	good	good	ADJ
iajs-919	105	19	is	be	AUX
iajs-919	105	20	the	the	DET
iajs-919	105	21	approximation	approximation	NOUN
iajs-919	105	22	.	.	PUNCT
iajs-919	106	1	this	this	DET
iajs-919	106	2	error	error	NOUN
iajs-919	106	3	depends	depend	VERB
iajs-919	106	4	on	on	ADP
iajs-919	106	5	the	the	DET
iajs-919	106	6	number	number	NOUN
iajs-919	106	7	of	of	ADP
iajs-919	106	8	hidden	hide	VERB
iajs-919	106	9	units	unit	NOUN
iajs-919	106	10	[	[	X
iajs-919	106	11	8	8	NUM
iajs-919	106	12	]	]	PUNCT
iajs-919	106	13	and	and	CCONJ
iajs-919	106	14	the	the	DET
iajs-919	106	15	activation	activation	NOUN
iajs-919	106	16	function	function	NOUN
iajs-919	106	17	.	.	PUNCT
iajs-919	107	1	if	if	SCONJ
iajs-919	107	2	the	the	DET
iajs-919	107	3	training	training	NOUN
iajs-919	107	4	error	error	NOUN
iajs-919	107	5	rate	rate	NOUN
iajs-919	107	6	does	do	AUX
iajs-919	107	7	not	not	PART
iajs-919	107	8	converge	converge	VERB
iajs-919	107	9	to	to	ADP
iajs-919	107	10	the	the	DET
iajs-919	107	11	test	test	NOUN
iajs-919	107	12	error	error	NOUN
iajs-919	107	13	rate	rate	NOUN
iajs-919	107	14	the	the	DET
iajs-919	107	15	training	training	NOUN
iajs-919	107	16	procedure	procedure	NOUN
iajs-919	107	17	has	have	AUX
iajs-919	107	18	not	not	PART
iajs-919	107	19	found	find	VERB
iajs-919	107	20	a	a	DET
iajs-919	107	21	global	global	ADJ
iajs-919	107	22	minimum	minimum	NOUN
iajs-919	107	23	.	.	PUNCT
iajs-919	108	1	references	reference	NOUN
iajs-919	108	2	1	1	NUM
iajs-919	108	3	.	.	X
iajs-919	108	4	jaya	jaya	PROPN
iajs-919	108	5	,	,	PUNCT
iajs-919	108	6	g.p	g.p	PROPN
iajs-919	108	7	.	.	PROPN
iajs-919	108	8	prakash	prakash	PROPN
iajs-919	108	9	and	and	CCONJ
iajs-919	108	10	trbstaff	trbstaff	PROPN
iajs-919	108	11	representative,(1999),"use	representative,(1999),"use	NUM
iajs-919	108	12	of	of	ADP
iajs-919	108	13	artificial	artificial	ADJ
iajs-919	108	14	neural	neural	ADJ
iajs-919	108	15	networks	network	NOUN
iajs-919	108	16	in	in	ADP
iajs-919	108	17	geomechanical	geomechanical	ADJ
iajs-919	108	18	and	and	CCONJ
iajs-919	108	19	pavement	pavement	NOUN
iajs-919	108	20	system	system	NOUN
iajs-919	108	21	"	"	PUNCT
iajs-919	108	22	,	,	PUNCT
iajs-919	108	23	transportation	transportation	NOUN
iajs-919	108	24	research	research	NOUN
iajs-919	108	25	circular	circular	ADJ
iajs-919	108	26	,	,	PUNCT
iajs-919	108	27	number	number	NOUN
iajs-919	108	28	e	e	NOUN
iajs-919	108	29	-	-	PUNCT
iajs-919	108	30	co12	co12	PROPN
iajs-919	108	31	,	,	PUNCT
iajs-919	108	32	december	december	PROPN
iajs-919	108	33	.	.	PUNCT
iajs-919	109	1	2	2	NUM
iajs-919	109	2	.	.	X
iajs-919	109	3	csáji	csáji	PROPN
iajs-919	109	4	,	,	PUNCT
iajs-919	109	5	b.c	b.c	PROPN
iajs-919	109	6	.	.	PROPN
iajs-919	109	7	(	(	PUNCT
iajs-919	109	8	2001	2001	NUM
iajs-919	109	9	)	)	PUNCT
iajs-919	109	10	,	,	PUNCT
iajs-919	109	11	"	"	PUNCT
iajs-919	109	12	approximation	approximation	NOUN
iajs-919	109	13	with	with	ADP
iajs-919	109	14	artificial	artificial	ADJ
iajs-919	109	15	neural	neural	ADJ
iajs-919	109	16	networks	network	NOUN
iajs-919	109	17	"	"	PUNCT
iajs-919	109	18	,	,	PUNCT
iajs-919	109	19	msc	msc	PROPN
iajs-919	109	20	thesis	thesis	NOUN
iajs-919	109	21	,	,	PUNCT
iajs-919	109	22	faculty	faculty	NOUN
iajs-919	109	23	of	of	ADP
iajs-919	109	24	sciences	science	NOUN
iajs-919	109	25	,	,	PUNCT
iajs-919	109	26	eötvös	eötvös	PROPN
iajs-919	109	27	loránd	loránd	PROPN
iajs-919	109	28	university	university	PROPN
iajs-919	109	29	,	,	PUNCT
iajs-919	109	30	hungary	hungary	PROPN
iajs-919	109	31	.	.	PUNCT
iajs-919	110	1	3	3	X
iajs-919	110	2	.	.	X
iajs-919	110	3	alldrin	alldrin	NOUN
iajs-919	110	4	,	,	PUNCT
iajs-919	110	5	n	n	CCONJ
iajs-919	110	6	;	;	PUNCT
iajs-919	110	7	smith	smith	PROPN
iajs-919	110	8	,	,	PUNCT
iajs-919	110	9	a.	a.	NOUN
iajs-919	110	10	and	and	CCONJ
iajs-919	110	11	d.turnbull	d.turnbull	NOUN
iajs-919	110	12	,	,	PUNCT
iajs-919	110	13	(	(	PUNCT
iajs-919	110	14	2001	2001	NUM
iajs-919	110	15	)	)	PUNCT
iajs-919	110	16	,	,	PUNCT
iajs-919	110	17	"	"	PUNCT
iajs-919	110	18	a	a	DET
iajs-919	110	19	three	three	NUM
iajs-919	110	20	–	–	PUNCT
iajs-919	110	21	unit	unit	NOUN
iajs-919	110	22	networks	network	NOUN
iajs-919	110	23	is	be	AUX
iajs-919	110	24	all	all	PRON
iajs-919	110	25	you	you	PRON
iajs-919	110	26	need	need	VERB
iajs-919	110	27	to	to	PART
iajs-919	110	28	discover	discover	VERB
iajs-919	110	29	females	female	NOUN
iajs-919	110	30	"	"	PUNCT
iajs-919	110	31	,	,	PUNCT
iajs-919	110	32	d.simonl	d.simonl	ADP
iajs-919	110	33	nerocomputing	nerocompute	VERB
iajs-919	110	34	,	,	PUNCT
iajs-919	110	35	4	4	X
iajs-919	110	36	.	.	PUNCT
iajs-919	110	37	pinkus	pinku	NOUN
iajs-919	110	38	,	,	PUNCT
iajs-919	110	39	a.	a.	NOUN
iajs-919	110	40	,(1999	,(1999	PUNCT
iajs-919	110	41	)	)	PUNCT
iajs-919	110	42	,	,	PUNCT
iajs-919	110	43	"	"	PUNCT
iajs-919	110	44	approximation	approximation	NOUN
iajs-919	110	45	theory	theory	NOUN
iajs-919	110	46	of	of	ADP
iajs-919	110	47	the	the	DET
iajs-919	110	48	mlp	mlp	NOUN
iajs-919	110	49	model	model	NOUN
iajs-919	110	50	in	in	ADP
iajs-919	110	51	neural	neural	ADJ
iajs-919	110	52	networks	network	NOUN
iajs-919	110	53	"	"	PUNCT
iajs-919	110	54	,	,	PUNCT
iajs-919	110	55	acta	acta	PROPN
iajs-919	110	56	numerica	numerica	PROPN
iajs-919	110	57	,	,	PUNCT
iajs-919	110	58	.143	.143	NUM
iajs-919	110	59	-	-	SYM
iajs-919	110	60	195	195	NUM
iajs-919	110	61	.	.	NOUN
iajs-919	110	62	5	5	NUM
iajs-919	110	63	.	.	X
iajs-919	110	64	zhang	zhang	PROPN
iajs-919	110	65	,	,	PUNCT
iajs-919	110	66	g	g	PROPN
iajs-919	110	67	;	;	PUNCT
iajs-919	110	68	eddy	eddy	PROPN
iajs-919	110	69	b.	b.	PROPN
iajs-919	110	70	patuwoand	patuwoand	PROPN
iajs-919	110	71	y.hu	y.hu	PROPN
iajs-919	110	72	,	,	PUNCT
iajs-919	110	73	(	(	PUNCT
iajs-919	110	74	1998	1998	NUM
iajs-919	110	75	)	)	PUNCT
iajs-919	110	76	,	,	PUNCT
iajs-919	110	77	"	"	PUNCT
iajs-919	110	78	forecasting	forecast	VERB
iajs-919	110	79	with	with	ADP
iajs-919	110	80	artificial	artificial	ADJ
iajs-919	110	81	neural	neural	ADJ
iajs-919	110	82	networks	network	NOUN
iajs-919	110	83	:	:	PUNCT
iajs-919	110	84	the	the	DET
iajs-919	110	85	state	state	NOUN
iajs-919	110	86	of	of	ADP
iajs-919	110	87	the	the	DET
iajs-919	110	88	art	art	NOUN
iajs-919	110	89	"	"	PUNCT
iajs-919	110	90	,	,	PUNCT
iajs-919	110	91	international	international	ADJ
iajs-919	110	92	journal	journal	NOUN
iajs-919	110	93	of	of	ADP
iajs-919	110	94	fore	fore	PROPN
iajs-919	110	95	casting.14	casting.14	PROPN
iajs-919	110	96	,	,	PUNCT
iajs-919	110	97	pp.35	pp.35	VERB
iajs-919	110	98	62	62	NUM
iajs-919	110	99	.	.	PUNCT
iajs-919	111	1	6	6	X
iajs-919	111	2	.	.	X
iajs-919	111	3	dijkstra	dijkstra	PROPN
iajs-919	111	4	,	,	PUNCT
iajs-919	111	5	e.w	e.w	PROPN
iajs-919	111	6	;	;	PUNCT
iajs-919	111	7	(	(	PUNCT
iajs-919	111	8	2001	2001	NUM
iajs-919	111	9	)	)	PUNCT
iajs-919	111	10	,	,	PUNCT
iajs-919	111	11	"	"	PUNCT
iajs-919	111	12	approximation	approximation	NOUN
iajs-919	111	13	with	with	ADP
iajs-919	111	14	artificial	artificial	ADJ
iajs-919	111	15	neural	neural	ADJ
iajs-919	111	16	networks	network	NOUN
iajs-919	111	17	"	"	PUNCT
iajs-919	111	18	,	,	PUNCT
iajs-919	111	19	msc	msc	PROPN
iajs-919	111	20	thesis	thesis	NOUN
iajs-919	111	21	,	,	PUNCT
iajs-919	111	22	faculty	faculty	NOUN
iajs-919	111	23	of	of	ADP
iajs-919	111	24	mathematics	mathematic	NOUN
iajs-919	111	25	and	and	CCONJ
iajs-919	111	26	computing	compute	VERB
iajs-919	111	27	science	science	NOUN
iajs-919	111	28	eindhoven	eindhoven	PROPN
iajs-919	111	29	university	university	PROPN
iajs-919	111	30	of	of	ADP
iajs-919	111	31	technology	technology	NOUN
iajs-919	111	32	,	,	PUNCT
iajs-919	111	33	the	the	DET
iajs-919	111	34	netherlands	netherlands	PROPN
iajs-919	111	35	.	.	PUNCT
iajs-919	112	1	7.hatim	7.hatim	NUM
iajs-919	112	2	,	,	PUNCT
iajs-919	112	3	q	q	X
iajs-919	112	4	;	;	PUNCT
iajs-919	112	5	(	(	PUNCT
iajs-919	112	6	2007	2007	NUM
iajs-919	112	7	)	)	PUNCT
iajs-919	112	8	,	,	PUNCT
iajs-919	112	9	"	"	PUNCT
iajs-919	112	10	comparison	comparison	NOUN
iajs-919	112	11	of	of	ADP
iajs-919	112	12	ridge	ridge	NOUN
iajs-919	112	13	and	and	CCONJ
iajs-919	112	14	radial	radial	ADJ
iajs-919	112	15	basis	basis	NOUN
iajs-919	112	16	functions	function	NOUN
iajs-919	112	17	neural	neural	ADJ
iajs-919	112	18	networks	network	NOUN
iajs-919	112	19	for	for	ADP
iajs-919	112	20	interpolation	interpolation	NOUN
iajs-919	112	21	problems	problem	NOUN
iajs-919	112	22	"	"	PUNCT
iajs-919	112	23	,	,	PUNCT
iajs-919	112	24	msc	msc	PROPN
iajs-919	112	25	thesis	thesis	PROPN
iajs-919	112	26	,	,	PUNCT
iajs-919	112	27	baghdad	baghdad	PROPN
iajs-919	112	28	university	university	PROPN
iajs-919	112	29	,	,	PUNCT
iajs-919	112	30	college	college	NOUN
iajs-919	112	31	of	of	ADP
iajs-919	112	32	education	education	PROPN
iajs-919	112	33	ibn	ibn	PROPN
iajs-919	112	34	al	al	PROPN
iajs-919	112	35	-	-	PUNCT
iajs-919	112	36	haitham	haitham	PROPN
iajs-919	112	37	.	.	PUNCT
iajs-919	113	1	8	8	X
iajs-919	113	2	.	.	X
iajs-919	113	3	tawfiq	tawfiq	PROPN
iajs-919	113	4	,	,	PUNCT
iajs-919	113	5	l.n.m	l.n.m	NOUN
iajs-919	113	6	.	.	PUNCT
iajs-919	113	7	and	and	CCONJ
iajs-919	113	8	eqhaar	eqhaar	NOUN
iajs-919	113	9	,	,	PUNCT
iajs-919	113	10	q.h	q.h	PROPN
iajs-919	113	11	.	.	PROPN
iajs-919	113	12	(	(	PUNCT
iajs-919	113	13	2009	2009	NUM
iajs-919	113	14	)	)	PUNCT
iajs-919	113	15	,	,	PUNCT
iajs-919	113	16	"	"	PUNCT
iajs-919	113	17	on	on	ADP
iajs-919	113	18	multilayer	multilayer	ADJ
iajs-919	113	19	neural	neural	ADJ
iajs-919	113	20	networks	network	NOUN
iajs-919	113	21	and	and	CCONJ
iajs-919	113	22	its	its	PRON
iajs-919	113	23	application	application	NOUN
iajs-919	113	24	for	for	ADP
iajs-919	113	25	approximation	approximation	NOUN
iajs-919	113	26	problem	problem	NOUN
iajs-919	113	27	"	"	PUNCT
iajs-919	113	28	,	,	PUNCT
iajs-919	113	29	3	3	NUM
iajs-919	113	30	rd	rd	NOUN
iajs-919	113	31	scientific	scientific	ADJ
iajs-919	113	32	conference	conference	NOUN
iajs-919	113	33	of	of	ADP
iajs-919	113	34	the	the	DET
iajs-919	113	35	college	college	NOUN
iajs-919	113	36	of	of	ADP
iajs-919	113	37	science	science	NOUN
iajs-919	113	38	,	,	PUNCT
iajs-919	113	39	university	university	NOUN
iajs-919	113	40	of	of	ADP
iajs-919	113	41	baghdad	baghdad	PROPN
iajs-919	113	42	.	.	PUNCT
iajs-919	114	1	24	24	NUM
iajs-919	114	2	to	to	PART
iajs-919	114	3	26	26	NUM
iajs-919	114	4	march	march	NOUN
iajs-919	114	5	.	.	PUNCT
iajs-919	115	1	ihjpas	ihjpa	VERB
iajs-919	115	2	ibn	ibn	PROPN
iajs-919	115	3	alhaitham	alhaitham	PROPN
iajs-919	115	4	j.	j.	PROPN
iajs-919	115	5	for	for	ADP
iajs-919	115	6	pure	pure	ADJ
iajs-919	115	7	&	&	CCONJ
iajs-919	115	8	appl	appl	PROPN
iajs-919	115	9	.	.	PUNCT
iajs-919	116	1	sci	sci	PROPN
iajs-919	116	2	.	.	PUNCT
iajs-919	117	1	vol.23	vol.23	PROPN
iajs-919	117	2	(	(	PUNCT
iajs-919	117	3	3	3	NUM
iajs-919	117	4	)	)	PUNCT
iajs-919	117	5	2010	2010	NUM
iajs-919	117	6	fig	fig	NOUN
iajs-919	117	7	1	1	NUM
iajs-919	117	8	:	:	PUNCT
iajs-919	117	9	nonlinear	nonlinear	ADJ
iajs-919	117	10	model	model	NOUN
iajs-919	117	11	of	of	ADP
iajs-919	117	12	a	a	DET
iajs-919	117	13	neuron	neuron	NOUN
iajs-919	117	14	fig	fig	NOUN
iajs-919	117	15	2	2	NUM
iajs-919	117	16	:	:	PUNCT
iajs-919	117	17	example	example	NOUN
iajs-919	117	18	of	of	ADP
iajs-919	117	19	functi	functi	PROPN
iajs-919	117	20	on	on	ADP
iajs-919	117	21	approximation	approximation	NOUN
iajs-919	117	22	wi	wi	PROPN
iajs-919	117	23	th	th	PROPN
iajs-919	117	24	a	a	DET
iajs-919	117	25	ann	ann	PROPN
iajs-919	117	26	.	.	PUNCT
iajs-919	118	1	top	top	PROPN
iajs-919	118	2	left	leave	VERB
iajs-919	118	3	:	:	PUNCT
iajs-919	118	4	the	the	DET
iajs-919	118	5	original	original	ADJ
iajs-919	118	6	training	training	NOUN
iajs-919	118	7	samples	sample	NOUN
iajs-919	118	8	;	;	PUNCT
iajs-919	118	9	top	top	ADJ
iajs-919	118	10	right	right	NOUN
iajs-919	118	11	:	:	PUNCT
iajs-919	118	12	the	the	DET
iajs-919	118	13	approximation	approximation	NOUN
iajs-919	118	14	wi	wi	PROPN
iajs-919	118	15	th	th	PROPN
iajs-919	118	16	the	the	DET
iajs-919	118	17	network	network	NOUN
iajs-919	118	18	;	;	PUNCT
iajs-919	118	19	bottom	bottom	NOUN
iajs-919	118	20	left	leave	VERB
iajs-919	118	21	:	:	PUNCT
iajs-919	118	22	the	the	DET
iajs-919	118	23	function	function	NOUN
iajs-919	118	24	which	which	PRON
iajs-919	118	25	generated	generate	VERB
iajs-919	118	26	the	the	DET
iajs-919	118	27	training	training	NOUN
iajs-919	118	28	samples	sample	NOUN
iajs-919	118	29	;	;	PUNCT
iajs-919	118	30	bottom	bottom	ADJ
iajs-919	118	31	righ	righ	PROPN
iajs-919	118	32	t	t	PROPN
iajs-919	118	33	:	:	PUNCT
iajs-919	118	34	the	the	DET
iajs-919	118	35	error	error	NOUN
iajs-919	118	36	in	in	ADP
iajs-919	118	37	the	the	DET
iajs-919	118	38	approximation	approximation	NOUN
iajs-919	118	39	.	.	PUNCT
iajs-919	119	1	y1	y1	INTJ
iajs-919	119	2	=	=	PUNCT
iajs-919	119	3	f1(x	f1(x	NUM
iajs-919	119	4	)	)	PUNCT
iajs-919	119	5	=	=	SYM
iajs-919	119	6	sin(x	sin(x	PROPN
iajs-919	119	7	)	)	PUNCT
iajs-919	119	8	ihjpas	ihjpa	VERB
iajs-919	119	9	ibn	ibn	PROPN
iajs-919	119	10	alhaitham	alhaitham	PROPN
iajs-919	120	1	j.	j.	PROPN
iajs-919	121	1	fo	fo	ADP
iajs-919	121	2	r	r	NOUN
iajs-919	121	3	pure	pure	ADJ
iajs-919	121	4	&	&	CCONJ
iajs-919	121	5	appl	appl	PROPN
iajs-919	121	6	.	.	PUNCT
iajs-919	122	1	sc	sc	PROPN
iajs-919	122	2	i.	i.	PROPN
iajs-919	122	3	vo	vo	PROPN
iajs-919	122	4	l.23	l.23	PROPN
iajs-919	122	5	(	(	PUNCT
iajs-919	122	6	3	3	NUM
iajs-919	122	7	)	)	PUNCT
iajs-919	122	8	2010	2010	NUM
iajs-919	122	9	y2	y2	NOUN
iajs-919	122	10	=	=	SYM
iajs-919	123	1	f2(x	f2(x	PROPN
iajs-919	123	2	)	)	PUNCT
iajs-919	123	3	=	=	SYM
iajs-919	123	4	2x5	2x5	NUM
iajs-919	123	5	+	+	CCONJ
iajs-919	123	6	6x3	6x3	NUM
iajs-919	123	7	–	–	PUNCT
iajs-919	123	8	9x2	9x2	NUM
iajs-919	124	1	+	+	CCONJ
iajs-919	124	2	1	1	NUM
iajs-919	124	3	y3	y3	NOUN
iajs-919	124	4	=	=	SYM
iajs-919	124	5	f3(x	f3(x	PROPN
iajs-919	124	6	)	)	PUNCT
iajs-919	124	7	=	=	SYM
iajs-919	124	8	3x	3x	NUM
iajs-919	124	9	(	(	PUNCT
iajs-919	124	10	x0.6	x0.6	X
iajs-919	124	11	)	)	PUNCT
iajs-919	124	12	(	(	PUNCT
iajs-919	124	13	x	x	X
iajs-919	124	14	+	+	NOUN
iajs-919	124	15	1.17	1.17	NUM
iajs-919	124	16	)	)	PUNCT
iajs-919	124	17	y4	y4	NOUN
iajs-919	124	18	=	=	SYM
iajs-919	124	19	f4(x	f4(x	NUM
iajs-919	124	20	)	)	PUNCT
iajs-919	124	21	=	=	PRON
iajs-919	124	22	(	(	PUNCT
iajs-919	124	23	x1x2	x1x2	X
iajs-919	124	24	)	)	PUNCT
iajs-919	124	25	3	3	NUM
iajs-919	124	26	18	18	NUM
iajs-919	124	27	x1	x1	NOUN
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iajs-919	124	29	x2	x2	PROPN
iajs-919	124	30	–	–	PUNCT
iajs-919	124	31	x1)7x2	x1)7x2	PROPN
iajs-919	124	32	fig	fig	NOUN
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iajs-919	124	35	effect	effect	NOUN
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iajs-919	124	42	the	the	DET
iajs-919	124	43	error	error	NOUN
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iajs-919	125	4	rate	rate	NOUN
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iajs-919	125	8	test	test	NOUN
iajs-919	125	9	error	error	NOUN
iajs-919	125	10	rate	rate	NOUN
iajs-919	125	11	as	as	ADP
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iajs-919	125	13	function	function	NOUN
iajs-919	125	14	of	of	ADP
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iajs-919	125	18	training	training	NOUN
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iajs-919	125	21	l	l	NOUN
iajs-919	125	22	training	training	NOUN
iajs-919	125	23	samples	sample	NOUN
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iajs-919	125	25	100	100	NUM
iajs-919	125	26	–	–	PUNCT
iajs-919	125	27	l	l	NOUN
iajs-919	125	28	testing	testing	NOUN
iajs-919	125	29	samples	sample	NOUN
iajs-919	125	30	for	for	ADP
iajs-919	125	31	4	4	NUM
iajs-919	125	32	problems	problem	NOUN
iajs-919	125	33	ihjpas	ihjpa	VERB
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iajs-919	126	3	23مجلة	23مجلة	NUM
iajs-919	126	4	ابن	ابن	PROPN
iajs-919	126	5	الھیثم	الھیثم	PROPN
iajs-919	126	6	للعلوم	للعلوم	PROPN
iajs-919	126	7	الصرفة	الصرفة	PROPN
iajs-919	126	8	والتطبیقیة	والتطبیقیة	PROPN
iajs-919	126	9	المجلد	المجلد	VERB
iajs-919	126	10	ـةتأثیر	ـةتأثیر	X
iajs-919	126	11	عدد	عدد	PROPN
iajs-919	126	12	عـینات	عـینات	PROPN
iajs-919	126	13	التدریب	التدریب	NOUN
iajs-919	126	14	في	في	ADP
iajs-919	126	15	الشبكات	الشبكات	PROPN
iajs-919	126	16	العـصبیة	العـصبیة	PROPN
iajs-919	126	17	الصناعی	الصناعی	ADV
iajs-919	126	18	ناجي	ناجي	VERB
iajs-919	126	19	محمد	محمد	ADJ
iajs-919	126	20	توفیق	توفیق	ADJ
iajs-919	126	21	محمد،لمى	محمد،لمى	PROPN
iajs-919	126	22	ناجي	ناجي	VERB
iajs-919	126	23	محمد	محمد	ADJ
iajs-919	126	24	توفیق	توفیق	PROPN
iajs-919	126	25	جامعة	جامعة	PROPN
iajs-919	126	26	بغداد	بغداد	PROPN
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iajs-919	126	30	–	–	PUNCT
iajs-919	126	31	كلیة	كلیة	PROPN
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iajs-919	126	33	،	،	NOUN
iajs-919	126	34	قسم	قسم	PROPN
iajs-919	127	1	الریاضیات	الریاضیات	PROPN
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iajs-919	127	7	�	�	PROPN
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iajs-919	127	9	الص	الص	PROPN
iajs-919	127	10	�	�	PROPN
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iajs-919	127	14	ھ	ھ	ADP
iajs-919	127	15	�	�	PROPN
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iajs-919	127	17	البح	البح	PROPN
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iajs-919	127	24	�	�	PROPN
iajs-919	127	25	�	�	PROPN
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iajs-919	127	27	ع	ع	PROPN
iajs-919	127	28	�	�	PROPN
iajs-919	127	29	دد	دد	PROPN
iajs-919	127	30	عین	عین	PROPN
iajs-919	127	31	�	�	PROPN
iajs-919	127	32	ات	ات	PROPN
iajs-919	127	33	الت	الت	PROPN
iajs-919	127	34	�	�	PROPN
iajs-919	127	35	دریب	دریب	X
iajs-919	127	36	ف	ف	NUM
iajs-919	127	37	�	�	PROPN
iajs-919	127	38	ي	ي	PROPN
iajs-919	127	39	الش	الش	PROPN
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iajs-919	127	41	�	�	PROPN
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iajs-919	127	68	إل	إل	PROPN
iajs-919	127	69	�	�	PROPN
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iajs-919	127	86	�	�	PROPN
iajs-919	127	87	�	�	PROPN
iajs-919	127	88	ف	ف	PRON
iajs-919	127	89	أن	أن	PROPN
iajs-919	127	90	االختی	االختی	PROPN
iajs-919	127	91	�	�	PROPN
iajs-919	127	92	�	�	PROPN
iajs-919	127	93	ار	ار	PROPN
iajs-919	127	94	الجی	الجی	PROPN
iajs-919	127	95	�	�	PROPN
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iajs-919	127	98	لع	لع	PRON
iajs-919	127	99	�	�	PROPN
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iajs-919	127	101	دد	دد	PROPN
iajs-919	127	102	عین	عین	PROPN
iajs-919	127	103	�	�	PROPN
iajs-919	127	104	�	�	PROPN
iajs-919	127	105	ات	ات	PROPN
iajs-919	127	106	الت	الت	PROPN
iajs-919	127	107	�	�	PROPN
iajs-919	127	108	�	�	PROPN
iajs-919	127	109	41دربن	41دربن	NOUN
iajs-919	127	110	�	�	PROPN
iajs-919	127	111	�	�	PROPN
iajs-919	127	112	ا	ا	X
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iajs-919	127	115	أو	أو	PROPN
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iajs-919	127	118	للدالة	للدالة	NOUN
iajs-919	127	119	الحقیقیة	الحقیقیة	PROPN
iajs-919	127	120	ihjpas	ihjpa	VERB