id	sid	tid	token	lemma	pos
iajs-1950	1	1	conseguences	conseguence	NOUN
iajs-1950	1	2	of	of	ADP
iajs-1950	1	3	soil	soil	NOUN
iajs-1950	1	4	crude	crude	ADJ
iajs-1950	1	5	oil	oil	NOUN
iajs-1950	1	6	pollution	pollution	NOUN
iajs-1950	1	7	on	on	ADP
iajs-1950	1	8	some	some	DET
iajs-1950	1	9	wood	wood	NOUN
iajs-1950	1	10	properties	property	NOUN
iajs-1950	1	11	of	of	ADP
iajs-1950	1	12	olive	olive	NOUN
iajs-1950	1	13	trees	tree	NOUN
iajs-1950	1	14	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	1	15	computer	computer	NOUN
iajs-1950	1	16	|	|	ADV
iajs-1950	1	17	210	210	NUM
iajs-1950	1	18	2018	2018	NUM
iajs-1950	1	19	(	(	PUNCT
iajs-1950	1	20	عام	عام	ADP
iajs-1950	1	21	2	2	NUM
iajs-1950	1	22	(	(	PUNCT
iajs-1950	1	23	العدد	العدد	PROPN
iajs-1950	1	24	)	)	PUNCT
iajs-1950	1	25	31مجلة	31مجلة	NUM
iajs-1950	1	26	إبن	إبن	VERB
iajs-1950	1	27	الهيثم	الهيثم	ADJ
iajs-1950	1	28	للعلوم	للعلوم	NOUN
iajs-1950	1	29	الصرفة	الصرفة	NOUN
iajs-1950	2	1	و	و	PRON
iajs-1950	2	2	التطبيقية	التطبيقية	ADV
iajs-1950	2	3	المجلد	المجلد	ADV
iajs-1950	2	4	)	)	PUNCT
iajs-1950	3	1	ibn	ibn	PROPN
iajs-1950	3	2	al	al	PROPN
iajs-1950	3	3	-	-	PUNCT
iajs-1950	3	4	haitham	haitham	PROPN
iajs-1950	3	5	j.	j.	PROPN
iajs-1950	3	6	for	for	ADP
iajs-1950	3	7	pure	pure	PROPN
iajs-1950	3	8	&	&	CCONJ
iajs-1950	3	9	appl	appl	PROPN
iajs-1950	3	10	.	.	PUNCT
iajs-1950	4	1	sci	sci	PROPN
iajs-1950	4	2	.	.	PUNCT
iajs-1950	5	1	vol.31	vol.31	PROPN
iajs-1950	5	2	(	(	PUNCT
iajs-1950	5	3	2	2	NUM
iajs-1950	5	4	)	)	PUNCT
iajs-1950	5	5	2018	2018	NUM
iajs-1950	5	6	a	a	DET
iajs-1950	5	7	comparison	comparison	NOUN
iajs-1950	5	8	between	between	ADP
iajs-1950	5	9	multi	multi	ADJ
iajs-1950	5	10	-	-	ADJ
iajs-1950	5	11	layer	layer	ADJ
iajs-1950	5	12	perceptron	perceptron	NOUN
iajs-1950	5	13	and	and	CCONJ
iajs-1950	5	14	radial	radial	ADJ
iajs-1950	5	15	basis	basis	NOUN
iajs-1950	5	16	function	function	NOUN
iajs-1950	5	17	networks	network	NOUN
iajs-1950	5	18	in	in	ADP
iajs-1950	5	19	detecting	detect	VERB
iajs-1950	5	20	humans	human	NOUN
iajs-1950	5	21	based	base	VERB
iajs-1950	5	22	on	on	ADP
iajs-1950	5	23	object	object	NOUN
iajs-1950	5	24	shape	shape	NOUN
iajs-1950	5	25	laith	laith	PROPN
iajs-1950	5	26	jasim	jasim	PROPN
iajs-1950	5	27	saud	saud	PROPN
iajs-1950	5	28	zainab	zainab	PROPN
iajs-1950	5	29	kudair	kudair	PROPN
iajs-1950	5	30	abass	abass	PROPN
iajs-1950	5	31	dept.of	dept.of	PROPN
iajs-1950	5	32	control	control	NOUN
iajs-1950	5	33	and	and	CCONJ
iajs-1950	5	34	system	system	NOUN
iajs-1950	5	35	engineering	engineering	NOUN
iajs-1950	5	36	/university	/university	PUNCT
iajs-1950	5	37	of	of	ADP
iajs-1950	5	38	technology	technology	NOUN
iajs-1950	5	39	received	receive	VERB
iajs-1950	5	40	in:31	in:31	PROPN
iajs-1950	5	41	/	/	SYM
iajs-1950	5	42	january/2018	january/2018	NOUN
iajs-1950	5	43	,	,	PUNCT
iajs-1950	5	44	accepted	accept	VERB
iajs-1950	5	45	in:11	in:11	PROPN
iajs-1950	5	46	/	/	SYM
iajs-1950	5	47	march/2018	march/2018	NOUN
iajs-1950	5	48	abstract	abstract	ADJ
iajs-1950	5	49	human	human	ADJ
iajs-1950	5	50	detection	detection	NOUN
iajs-1950	5	51	represents	represent	VERB
iajs-1950	5	52	a	a	DET
iajs-1950	5	53	main	main	ADJ
iajs-1950	5	54	problem	problem	NOUN
iajs-1950	5	55	of	of	ADP
iajs-1950	5	56	interest	interest	NOUN
iajs-1950	5	57	when	when	SCONJ
iajs-1950	5	58	using	use	VERB
iajs-1950	5	59	video	video	NOUN
iajs-1950	5	60	based	base	VERB
iajs-1950	5	61	monitoring	monitoring	NOUN
iajs-1950	5	62	.	.	PUNCT
iajs-1950	6	1	in	in	ADP
iajs-1950	6	2	this	this	DET
iajs-1950	6	3	paper	paper	NOUN
iajs-1950	6	4	,	,	PUNCT
iajs-1950	6	5	artificial	artificial	ADJ
iajs-1950	6	6	neural	neural	ADJ
iajs-1950	6	7	networks	network	NOUN
iajs-1950	6	8	,	,	PUNCT
iajs-1950	6	9	namely	namely	ADV
iajs-1950	6	10	multilayer	multilayer	ADJ
iajs-1950	6	11	perceptron	perceptron	PROPN
iajs-1950	6	12	(	(	PUNCT
iajs-1950	6	13	mlp	mlp	PROPN
iajs-1950	6	14	)	)	PUNCT
iajs-1950	6	15	and	and	CCONJ
iajs-1950	6	16	radial	radial	ADJ
iajs-1950	6	17	basis	basis	NOUN
iajs-1950	6	18	function	function	NOUN
iajs-1950	6	19	(	(	PUNCT
iajs-1950	6	20	rbf	rbf	PROPN
iajs-1950	6	21	)	)	PUNCT
iajs-1950	6	22	are	be	AUX
iajs-1950	6	23	used	use	VERB
iajs-1950	6	24	to	to	PART
iajs-1950	6	25	detect	detect	VERB
iajs-1950	6	26	humans	human	NOUN
iajs-1950	6	27	among	among	ADP
iajs-1950	6	28	different	different	ADJ
iajs-1950	6	29	objects	object	NOUN
iajs-1950	6	30	in	in	ADP
iajs-1950	6	31	a	a	DET
iajs-1950	6	32	sequence	sequence	NOUN
iajs-1950	6	33	of	of	ADP
iajs-1950	6	34	frames	frame	NOUN
iajs-1950	6	35	(	(	PUNCT
iajs-1950	6	36	images	image	NOUN
iajs-1950	6	37	)	)	PUNCT
iajs-1950	6	38	using	use	VERB
iajs-1950	6	39	classification	classification	NOUN
iajs-1950	6	40	approach	approach	NOUN
iajs-1950	6	41	.	.	PUNCT
iajs-1950	7	1	the	the	DET
iajs-1950	7	2	classification	classification	NOUN
iajs-1950	7	3	used	use	VERB
iajs-1950	7	4	is	be	AUX
iajs-1950	7	5	based	base	VERB
iajs-1950	7	6	on	on	ADP
iajs-1950	7	7	the	the	DET
iajs-1950	7	8	shape	shape	NOUN
iajs-1950	7	9	of	of	ADP
iajs-1950	7	10	the	the	DET
iajs-1950	7	11	object	object	NOUN
iajs-1950	7	12	instead	instead	ADV
iajs-1950	7	13	of	of	ADP
iajs-1950	7	14	depending	depend	VERB
iajs-1950	7	15	on	on	ADP
iajs-1950	7	16	the	the	DET
iajs-1950	7	17	contents	content	NOUN
iajs-1950	7	18	of	of	ADP
iajs-1950	7	19	the	the	DET
iajs-1950	7	20	frame	frame	NOUN
iajs-1950	7	21	.	.	PUNCT
iajs-1950	8	1	initially	initially	ADV
iajs-1950	8	2	,	,	PUNCT
iajs-1950	8	3	background	background	NOUN
iajs-1950	8	4	subtraction	subtraction	NOUN
iajs-1950	8	5	is	be	AUX
iajs-1950	8	6	depended	depend	VERB
iajs-1950	8	7	to	to	PART
iajs-1950	8	8	extract	extract	VERB
iajs-1950	8	9	objects	object	NOUN
iajs-1950	8	10	of	of	ADP
iajs-1950	8	11	interest	interest	NOUN
iajs-1950	8	12	from	from	ADP
iajs-1950	8	13	the	the	DET
iajs-1950	8	14	frame	frame	NOUN
iajs-1950	8	15	,	,	PUNCT
iajs-1950	8	16	then	then	ADV
iajs-1950	8	17	statistical	statistical	ADJ
iajs-1950	8	18	and	and	CCONJ
iajs-1950	8	19	geometric	geometric	ADJ
iajs-1950	8	20	information	information	NOUN
iajs-1950	8	21	are	be	AUX
iajs-1950	8	22	obtained	obtain	VERB
iajs-1950	8	23	from	from	ADP
iajs-1950	8	24	vertical	vertical	ADJ
iajs-1950	8	25	and	and	CCONJ
iajs-1950	8	26	horizontal	horizontal	ADJ
iajs-1950	8	27	projections	projection	NOUN
iajs-1950	8	28	of	of	ADP
iajs-1950	8	29	the	the	DET
iajs-1950	8	30	objects	object	NOUN
iajs-1950	8	31	that	that	PRON
iajs-1950	8	32	are	be	AUX
iajs-1950	8	33	detected	detect	VERB
iajs-1950	8	34	to	to	PART
iajs-1950	8	35	stand	stand	VERB
iajs-1950	8	36	for	for	ADP
iajs-1950	8	37	the	the	DET
iajs-1950	8	38	shape	shape	NOUN
iajs-1950	8	39	of	of	ADP
iajs-1950	8	40	the	the	DET
iajs-1950	8	41	object	object	NOUN
iajs-1950	8	42	.	.	PUNCT
iajs-1950	9	1	next	next	ADJ
iajs-1950	9	2	to	to	ADP
iajs-1950	9	3	this	this	DET
iajs-1950	9	4	step	step	NOUN
iajs-1950	9	5	,	,	PUNCT
iajs-1950	9	6	two	two	NUM
iajs-1950	9	7	types	type	NOUN
iajs-1950	9	8	of	of	ADP
iajs-1950	9	9	neural	neural	ADJ
iajs-1950	9	10	networks	network	NOUN
iajs-1950	9	11	are	be	AUX
iajs-1950	9	12	used	use	VERB
iajs-1950	9	13	to	to	PART
iajs-1950	9	14	classify	classify	VERB
iajs-1950	9	15	the	the	DET
iajs-1950	9	16	extracted	extract	VERB
iajs-1950	9	17	objects	object	NOUN
iajs-1950	9	18	.	.	PUNCT
iajs-1950	10	1	tests	test	NOUN
iajs-1950	10	2	have	have	AUX
iajs-1950	10	3	been	be	AUX
iajs-1950	10	4	performed	perform	VERB
iajs-1950	10	5	on	on	ADP
iajs-1950	10	6	a	a	DET
iajs-1950	10	7	sequence	sequence	NOUN
iajs-1950	10	8	of	of	ADP
iajs-1950	10	9	frames	frame	NOUN
iajs-1950	10	10	,	,	PUNCT
iajs-1950	10	11	and	and	CCONJ
iajs-1950	10	12	the	the	DET
iajs-1950	10	13	simulation	simulation	NOUN
iajs-1950	10	14	results	result	VERB
iajs-1950	10	15	by	by	ADP
iajs-1950	10	16	matlab	matlab	PROPN
iajs-1950	10	17	showed	show	VERB
iajs-1950	10	18	that	that	SCONJ
iajs-1950	10	19	the	the	DET
iajs-1950	10	20	rbf	rbf	PROPN
iajs-1950	10	21	neural	neural	PROPN
iajs-1950	10	22	network	network	NOUN
iajs-1950	10	23	gave	give	VERB
iajs-1950	10	24	a	a	DET
iajs-1950	10	25	better	well	ADJ
iajs-1950	10	26	performance	performance	NOUN
iajs-1950	10	27	compared	compare	VERB
iajs-1950	10	28	with	with	ADP
iajs-1950	10	29	the	the	DET
iajs-1950	10	30	mlp	mlp	PROPN
iajs-1950	10	31	neural	neural	ADJ
iajs-1950	10	32	network	network	NOUN
iajs-1950	10	33	where	where	SCONJ
iajs-1950	10	34	the	the	DET
iajs-1950	10	35	rbf	rbf	PROPN
iajs-1950	10	36	model	model	NOUN
iajs-1950	10	37	gave	give	VERB
iajs-1950	10	38	a	a	DET
iajs-1950	10	39	mean	mean	ADJ
iajs-1950	10	40	squared	square	VERB
iajs-1950	10	41	error	error	NOUN
iajs-1950	10	42	(	(	PUNCT
iajs-1950	10	43	mse	mse	NOUN
iajs-1950	10	44	)	)	PUNCT
iajs-1950	10	45	equals	equal	VERB
iajs-1950	10	46	to	to	ADP
iajs-1950	10	47	2.36811e-18	2.36811e-18	NUM
iajs-1950	10	48	against	against	ADP
iajs-1950	10	49	mse	mse	PROPN
iajs-1950	10	50	equals	equal	VERB
iajs-1950	10	51	to	to	ADP
iajs-1950	10	52	2.6937e-11	2.6937e-11	NUM
iajs-1950	10	53	achieved	achieve	VERB
iajs-1950	10	54	by	by	ADP
iajs-1950	10	55	the	the	DET
iajs-1950	10	56	mlp	mlp	PROPN
iajs-1950	10	57	model	model	NOUN
iajs-1950	10	58	.	.	PUNCT
iajs-1950	11	1	the	the	DET
iajs-1950	11	2	more	more	ADV
iajs-1950	11	3	important	important	ADJ
iajs-1950	11	4	thing	thing	NOUN
iajs-1950	11	5	observed	observe	VERB
iajs-1950	11	6	is	be	AUX
iajs-1950	11	7	that	that	SCONJ
iajs-1950	11	8	the	the	DET
iajs-1950	11	9	rbf	rbf	PROPN
iajs-1950	11	10	approach	approach	NOUN
iajs-1950	11	11	required	require	VERB
iajs-1950	11	12	less	less	ADJ
iajs-1950	11	13	time	time	NOUN
iajs-1950	11	14	to	to	PART
iajs-1950	11	15	classify	classify	VERB
iajs-1950	11	16	the	the	DET
iajs-1950	11	17	detected	detect	VERB
iajs-1950	11	18	object	object	NOUN
iajs-1950	11	19	as	as	ADP
iajs-1950	11	20	human	human	NOUN
iajs-1950	11	21	compared	compare	VERB
iajs-1950	11	22	to	to	ADP
iajs-1950	11	23	the	the	DET
iajs-1950	11	24	mlp	mlp	NOUN
iajs-1950	11	25	,	,	PUNCT
iajs-1950	11	26	where	where	SCONJ
iajs-1950	11	27	the	the	DET
iajs-1950	11	28	rbf	rbf	PROPN
iajs-1950	11	29	took	take	VERB
iajs-1950	11	30	approximately	approximately	ADV
iajs-1950	11	31	86.2	86.2	NUM
iajs-1950	11	32	%	%	NOUN
iajs-1950	11	33	lesser	less	ADJ
iajs-1950	11	34	time	time	NOUN
iajs-1950	11	35	to	to	PART
iajs-1950	11	36	give	give	VERB
iajs-1950	11	37	the	the	DET
iajs-1950	11	38	decision	decision	NOUN
iajs-1950	11	39	.	.	PUNCT
iajs-1950	12	1	key	key	ADJ
iajs-1950	12	2	words	word	NOUN
iajs-1950	12	3	:	:	PUNCT
iajs-1950	12	4	neural	neural	ADJ
iajs-1950	12	5	networks	network	NOUN
iajs-1950	12	6	,	,	PUNCT
iajs-1950	12	7	mlp	mlp	PROPN
iajs-1950	12	8	,	,	PUNCT
iajs-1950	12	9	rbf	rbf	PROPN
iajs-1950	12	10	,	,	PUNCT
iajs-1950	12	11	object	object	NOUN
iajs-1950	12	12	detection	detection	NOUN
iajs-1950	12	13	,	,	PUNCT
iajs-1950	12	14	object	object	VERB
iajs-1950	12	15	classification	classification	NOUN
iajs-1950	12	16	.	.	PUNCT
iajs-1950	13	1	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	13	2	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	13	3	computer	computer	NOUN
iajs-1950	13	4	|	|	ADV
iajs-1950	13	5	211	211	NUM
iajs-1950	13	6	2018	2018	NUM
iajs-1950	13	7	(	(	PUNCT
iajs-1950	13	8	عام	عام	ADP
iajs-1950	13	9	2	2	NUM
iajs-1950	13	10	(	(	PUNCT
iajs-1950	13	11	العدد	العدد	PROPN
iajs-1950	13	12	)	)	PUNCT
iajs-1950	13	13	31لمجلد	31لمجلد	NUM
iajs-1950	13	14	)	)	PUNCT
iajs-1950	14	1	ا	ا	X
iajs-1950	15	1	مجلة	مجلة	NOUN
iajs-1950	15	2	إبن	إبن	VERB
iajs-1950	15	3	الهيثم	الهيثم	ADJ
iajs-1950	15	4	للعلوم	للعلوم	NOUN
iajs-1950	15	5	الصرفة	الصرفة	NOUN
iajs-1950	16	1	و	و	PRON
iajs-1950	16	2	التطبيقية	التطبيقية	ADJ
iajs-1950	16	3	ibn	ibn	PROPN
iajs-1950	16	4	al	al	PROPN
iajs-1950	16	5	-	-	PUNCT
iajs-1950	16	6	haitham	haitham	PROPN
iajs-1950	16	7	j.	j.	PROPN
iajs-1950	16	8	for	for	ADP
iajs-1950	16	9	pure	pure	PROPN
iajs-1950	16	10	&	&	CCONJ
iajs-1950	16	11	appl	appl	PROPN
iajs-1950	16	12	.	.	PUNCT
iajs-1950	17	1	sci	sci	PROPN
iajs-1950	17	2	.	.	PUNCT
iajs-1950	18	1	vol.31	vol.31	PROPN
iajs-1950	18	2	(	(	PUNCT
iajs-1950	18	3	2	2	NUM
iajs-1950	18	4	)	)	SYM
iajs-1950	18	5	2018	2018	NUM
iajs-1950	18	6	introduction	introduction	NOUN
iajs-1950	18	7	the	the	DET
iajs-1950	18	8	problem	problem	NOUN
iajs-1950	18	9	of	of	ADP
iajs-1950	18	10	detecting	detect	VERB
iajs-1950	18	11	humans	human	NOUN
iajs-1950	18	12	in	in	ADP
iajs-1950	18	13	images	image	NOUN
iajs-1950	18	14	has	have	AUX
iajs-1950	18	15	been	be	AUX
iajs-1950	18	16	extensively	extensively	ADV
iajs-1950	18	17	considered	consider	VERB
iajs-1950	18	18	in	in	ADP
iajs-1950	18	19	literature	literature	NOUN
iajs-1950	18	20	as	as	SCONJ
iajs-1950	18	21	they	they	PRON
iajs-1950	18	22	are	be	AUX
iajs-1950	18	23	needed	need	VERB
iajs-1950	18	24	in	in	ADP
iajs-1950	18	25	so	so	ADV
iajs-1950	18	26	many	many	ADJ
iajs-1950	18	27	applications	application	NOUN
iajs-1950	18	28	in	in	ADP
iajs-1950	18	29	a	a	DET
iajs-1950	18	30	lot	lot	NOUN
iajs-1950	18	31	of	of	ADP
iajs-1950	18	32	fields	field	NOUN
iajs-1950	18	33	.	.	PUNCT
iajs-1950	19	1	a	a	DET
iajs-1950	19	2	main	main	ADJ
iajs-1950	19	3	such	such	ADJ
iajs-1950	19	4	application	application	NOUN
iajs-1950	19	5	is	be	AUX
iajs-1950	19	6	monitoring	monitor	VERB
iajs-1950	19	7	(	(	PUNCT
iajs-1950	19	8	surveillance	surveillance	NOUN
iajs-1950	19	9	)	)	PUNCT
iajs-1950	19	10	visually	visually	ADV
iajs-1950	19	11	.	.	PUNCT
iajs-1950	20	1	monitoring	monitor	VERB
iajs-1950	20	2	systems	system	NOUN
iajs-1950	20	3	can	can	AUX
iajs-1950	20	4	be	be	AUX
iajs-1950	20	5	found	find	VERB
iajs-1950	20	6	in	in	ADP
iajs-1950	20	7	many	many	ADJ
iajs-1950	20	8	places	place	NOUN
iajs-1950	20	9	like	like	ADP
iajs-1950	20	10	houses	house	NOUN
iajs-1950	20	11	,	,	PUNCT
iajs-1950	20	12	streets	street	NOUN
iajs-1950	20	13	,	,	PUNCT
iajs-1950	20	14	work	work	NOUN
iajs-1950	20	15	places	place	NOUN
iajs-1950	20	16	,	,	PUNCT
iajs-1950	20	17	and	and	CCONJ
iajs-1950	20	18	shops	shop	NOUN
iajs-1950	20	19	,	,	PUNCT
iajs-1950	20	20	and	and	CCONJ
iajs-1950	20	21	this	this	DET
iajs-1950	20	22	use	use	NOUN
iajs-1950	20	23	has	have	AUX
iajs-1950	20	24	been	be	AUX
iajs-1950	20	25	mainly	mainly	ADV
iajs-1950	20	26	for	for	ADP
iajs-1950	20	27	the	the	DET
iajs-1950	20	28	purpose	purpose	NOUN
iajs-1950	20	29	of	of	ADP
iajs-1950	20	30	getting	get	VERB
iajs-1950	20	31	records	record	NOUN
iajs-1950	20	32	to	to	PART
iajs-1950	20	33	be	be	AUX
iajs-1950	20	34	used	use	VERB
iajs-1950	20	35	for	for	ADP
iajs-1950	20	36	security	security	NOUN
iajs-1950	20	37	purposes	purpose	NOUN
iajs-1950	20	38	or	or	CCONJ
iajs-1950	20	39	cases	case	NOUN
iajs-1950	20	40	alike	alike	ADV
iajs-1950	20	41	,	,	PUNCT
iajs-1950	20	42	and	and	CCONJ
iajs-1950	20	43	did	do	AUX
iajs-1950	20	44	not	not	PART
iajs-1950	20	45	involve	involve	VERB
iajs-1950	20	46	detecting	detect	VERB
iajs-1950	20	47	presence	presence	NOUN
iajs-1950	20	48	of	of	ADP
iajs-1950	20	49	human	human	ADJ
iajs-1950	20	50	objects	object	NOUN
iajs-1950	20	51	in	in	ADP
iajs-1950	20	52	images	image	NOUN
iajs-1950	20	53	,	,	PUNCT
iajs-1950	20	54	which	which	PRON
iajs-1950	20	55	is	be	AUX
iajs-1950	20	56	in	in	ADP
iajs-1950	20	57	reality	reality	NOUN
iajs-1950	20	58	a	a	DET
iajs-1950	20	59	complex	complex	ADJ
iajs-1950	20	60	issue	issue	NOUN
iajs-1950	20	61	by	by	ADP
iajs-1950	20	62	itself	itself	PRON
iajs-1950	20	63	and	and	CCONJ
iajs-1950	20	64	when	when	SCONJ
iajs-1950	20	65	compared	compare	VERB
iajs-1950	20	66	to	to	ADP
iajs-1950	20	67	detecting	detect	VERB
iajs-1950	20	68	other	other	ADJ
iajs-1950	20	69	types	type	NOUN
iajs-1950	20	70	of	of	ADP
iajs-1950	20	71	objects	object	NOUN
iajs-1950	20	72	.	.	PUNCT
iajs-1950	21	1	this	this	PRON
iajs-1950	21	2	is	be	AUX
iajs-1950	21	3	so	so	ADV
iajs-1950	21	4	as	as	SCONJ
iajs-1950	21	5	humans	human	NOUN
iajs-1950	21	6	can	can	AUX
iajs-1950	21	7	assume	assume	VERB
iajs-1950	21	8	a	a	DET
iajs-1950	21	9	variety	variety	NOUN
iajs-1950	21	10	of	of	ADP
iajs-1950	21	11	postures	posture	NOUN
iajs-1950	21	12	and	and	CCONJ
iajs-1950	21	13	are	be	AUX
iajs-1950	21	14	articulated	articulate	VERB
iajs-1950	21	15	in	in	ADP
iajs-1950	21	16	their	their	PRON
iajs-1950	21	17	shape	shape	NOUN
iajs-1950	21	18	,	,	PUNCT
iajs-1950	21	19	so	so	SCONJ
iajs-1950	21	20	it	it	PRON
iajs-1950	21	21	is	be	AUX
iajs-1950	21	22	impossible	impossible	ADJ
iajs-1950	21	23	to	to	PART
iajs-1950	21	24	use	use	VERB
iajs-1950	21	25	just	just	ADV
iajs-1950	21	26	one	one	NUM
iajs-1950	21	27	model	model	NOUN
iajs-1950	21	28	capable	capable	ADJ
iajs-1950	21	29	of	of	ADP
iajs-1950	21	30	covering	cover	VERB
iajs-1950	21	31	the	the	DET
iajs-1950	21	32	whole	whole	NOUN
iajs-1950	21	33	of	of	ADP
iajs-1950	21	34	such	such	ADJ
iajs-1950	21	35	possible	possible	ADJ
iajs-1950	21	36	cases	case	NOUN
iajs-1950	21	37	.	.	PUNCT
iajs-1950	22	1	the	the	DET
iajs-1950	22	2	first	first	ADJ
iajs-1950	22	3	issue	issue	NOUN
iajs-1950	22	4	a	a	DET
iajs-1950	22	5	visual	visual	ADJ
iajs-1950	22	6	monitoring	monitoring	NOUN
iajs-1950	22	7	system	system	NOUN
iajs-1950	22	8	has	have	VERB
iajs-1950	22	9	to	to	PART
iajs-1950	22	10	deal	deal	VERB
iajs-1950	22	11	with	with	ADP
iajs-1950	22	12	to	to	PART
iajs-1950	22	13	identify	identify	VERB
iajs-1950	22	14	an	an	DET
iajs-1950	22	15	object	object	NOUN
iajs-1950	22	16	is	be	AUX
iajs-1950	22	17	to	to	PART
iajs-1950	22	18	abstract	abstract	ADJ
iajs-1950	22	19	objects	object	NOUN
iajs-1950	22	20	from	from	ADP
iajs-1950	22	21	a	a	DET
iajs-1950	22	22	given	give	VERB
iajs-1950	22	23	image	image	NOUN
iajs-1950	22	24	that	that	PRON
iajs-1950	22	25	are	be	AUX
iajs-1950	22	26	candidates	candidate	NOUN
iajs-1950	22	27	to	to	PART
iajs-1950	22	28	be	be	AUX
iajs-1950	22	29	compared	compare	VERB
iajs-1950	22	30	with	with	ADP
iajs-1950	22	31	a	a	DET
iajs-1950	22	32	targeted	target	VERB
iajs-1950	22	33	object	object	NOUN
iajs-1950	22	34	[	[	X
iajs-1950	22	35	1	1	NUM
iajs-1950	22	36	]	]	PUNCT
iajs-1950	22	37	.	.	PUNCT
iajs-1950	23	1	to	to	PART
iajs-1950	23	2	detect	detect	VERB
iajs-1950	23	3	an	an	DET
iajs-1950	23	4	object	object	NOUN
iajs-1950	23	5	requires	require	VERB
iajs-1950	23	6	isolating	isolate	VERB
iajs-1950	23	7	objects	object	NOUN
iajs-1950	23	8	of	of	ADP
iajs-1950	23	9	concern	concern	NOUN
iajs-1950	23	10	in	in	ADP
iajs-1950	23	11	the	the	DET
iajs-1950	23	12	video	video	NOUN
iajs-1950	23	13	frames	frame	NOUN
iajs-1950	23	14	by	by	ADP
iajs-1950	23	15	clustering	cluster	VERB
iajs-1950	23	16	pixels	pixel	NOUN
iajs-1950	23	17	of	of	ADP
iajs-1950	23	18	the	the	DET
iajs-1950	23	19	frame	frame	NOUN
iajs-1950	23	20	into	into	ADP
iajs-1950	23	21	background	background	NOUN
iajs-1950	23	22	and	and	CCONJ
iajs-1950	23	23	object	object	VERB
iajs-1950	23	24	.	.	PUNCT
iajs-1950	24	1	such	such	DET
iajs-1950	24	2	a	a	DET
iajs-1950	24	3	thing	thing	NOUN
iajs-1950	24	4	can	can	AUX
iajs-1950	24	5	be	be	AUX
iajs-1950	24	6	achieved	achieve	VERB
iajs-1950	24	7	with	with	ADP
iajs-1950	24	8	different	different	ADJ
iajs-1950	24	9	methods	method	NOUN
iajs-1950	24	10	like	like	ADP
iajs-1950	24	11	“	"	PUNCT
iajs-1950	24	12	background	background	NOUN
iajs-1950	24	13	subtraction	subtraction	NOUN
iajs-1950	24	14	”	"	PUNCT
iajs-1950	24	15	,	,	PUNCT
iajs-1950	24	16	“	"	PUNCT
iajs-1950	24	17	frame	frame	NOUN
iajs-1950	24	18	difference	difference	NOUN
iajs-1950	24	19	”	"	PUNCT
iajs-1950	24	20	,	,	PUNCT
iajs-1950	24	21	and	and	CCONJ
iajs-1950	24	22	“	"	PUNCT
iajs-1950	24	23	optical	optical	ADJ
iajs-1950	24	24	flow	flow	NOUN
iajs-1950	24	25	"	"	PUNCT
iajs-1950	25	1	[	[	X
iajs-1950	25	2	1	1	NUM
iajs-1950	25	3	]	]	PUNCT
iajs-1950	25	4	.	.	PUNCT
iajs-1950	26	1	the	the	DET
iajs-1950	26	2	moving	move	VERB
iajs-1950	26	3	part	part	NOUN
iajs-1950	26	4	abstracted	abstract	VERB
iajs-1950	26	5	from	from	ADP
iajs-1950	26	6	the	the	DET
iajs-1950	26	7	frame	frame	NOUN
iajs-1950	26	8	(	(	PUNCT
iajs-1950	26	9	object	object	NOUN
iajs-1950	26	10	)	)	PUNCT
iajs-1950	26	11	could	could	AUX
iajs-1950	26	12	represent	represent	VERB
iajs-1950	26	13	unalike	unalike	ADJ
iajs-1950	26	14	moving	moving	NOUN
iajs-1950	26	15	objects	object	NOUN
iajs-1950	26	16	like	like	ADP
iajs-1950	26	17	humans	human	NOUN
iajs-1950	26	18	,	,	PUNCT
iajs-1950	26	19	cars	car	NOUN
iajs-1950	26	20	,	,	PUNCT
iajs-1950	26	21	clouds	cloud	NOUN
iajs-1950	26	22	in	in	ADP
iajs-1950	26	23	sky	sky	NOUN
iajs-1950	26	24	,	,	PUNCT
iajs-1950	26	25	birds	bird	NOUN
iajs-1950	26	26	,	,	PUNCT
iajs-1950	26	27	and	and	CCONJ
iajs-1950	26	28	trees	tree	NOUN
iajs-1950	26	29	that	that	PRON
iajs-1950	26	30	sway	sway	VERB
iajs-1950	26	31	.	.	PUNCT
iajs-1950	27	1	and	and	CCONJ
iajs-1950	27	2	one	one	NUM
iajs-1950	27	3	way	way	NOUN
iajs-1950	27	4	to	to	PART
iajs-1950	27	5	detect	detect	VERB
iajs-1950	27	6	humans	human	NOUN
iajs-1950	27	7	among	among	ADP
iajs-1950	27	8	these	these	DET
iajs-1950	27	9	objects	object	NOUN
iajs-1950	27	10	is	be	AUX
iajs-1950	27	11	through	through	ADP
iajs-1950	27	12	classifying	classify	VERB
iajs-1950	27	13	these	these	DET
iajs-1950	27	14	objects	object	NOUN
iajs-1950	27	15	.	.	PUNCT
iajs-1950	28	1	the	the	DET
iajs-1950	28	2	ways	way	NOUN
iajs-1950	28	3	used	use	VERB
iajs-1950	28	4	for	for	ADP
iajs-1950	28	5	object	object	NOUN
iajs-1950	28	6	classifications	classification	NOUN
iajs-1950	28	7	are	be	AUX
iajs-1950	28	8	either	either	ADV
iajs-1950	28	9	based	base	VERB
iajs-1950	28	10	on	on	ADP
iajs-1950	28	11	its	its	PRON
iajs-1950	28	12	shaping	shaping	NOUN
iajs-1950	28	13	,	,	PUNCT
iajs-1950	28	14	or	or	CCONJ
iajs-1950	28	15	its	its	PRON
iajs-1950	28	16	movements	movement	NOUN
iajs-1950	28	17	,	,	PUNCT
iajs-1950	28	18	or	or	CCONJ
iajs-1950	28	19	its	its	PRON
iajs-1950	28	20	coloring	coloring	NOUN
iajs-1950	28	21	,	,	PUNCT
iajs-1950	28	22	or	or	CCONJ
iajs-1950	28	23	its	its	PRON
iajs-1950	28	24	structure	structure	NOUN
iajs-1950	28	25	[	[	X
iajs-1950	28	26	2	2	NUM
iajs-1950	28	27	]	]	PUNCT
iajs-1950	28	28	.	.	PUNCT
iajs-1950	29	1	classification	classification	NOUN
iajs-1950	29	2	of	of	ADP
iajs-1950	29	3	the	the	DET
iajs-1950	29	4	objects	object	NOUN
iajs-1950	29	5	is	be	AUX
iajs-1950	29	6	an	an	DET
iajs-1950	29	7	easy	easy	ADJ
iajs-1950	29	8	task	task	NOUN
iajs-1950	29	9	for	for	ADP
iajs-1950	29	10	humans	human	NOUN
iajs-1950	29	11	,	,	PUNCT
iajs-1950	29	12	but	but	CCONJ
iajs-1950	29	13	it	it	PRON
iajs-1950	29	14	's	be	AUX
iajs-1950	29	15	challenging	challenge	VERB
iajs-1950	29	16	to	to	ADP
iajs-1950	29	17	the	the	DET
iajs-1950	29	18	machine	machine	NOUN
iajs-1950	29	19	.	.	PUNCT
iajs-1950	30	1	object	object	NOUN
iajs-1950	30	2	classification	classification	NOUN
iajs-1950	30	3	includes	include	VERB
iajs-1950	30	4	two	two	NUM
iajs-1950	30	5	stages	stage	NOUN
iajs-1950	30	6	,	,	PUNCT
iajs-1950	30	7	candidate	candidate	NOUN
iajs-1950	30	8	objects	object	VERB
iajs-1950	30	9	detection	detection	NOUN
iajs-1950	30	10	,	,	PUNCT
iajs-1950	30	11	and	and	CCONJ
iajs-1950	30	12	pattern	pattern	NOUN
iajs-1950	30	13	recognition	recognition	NOUN
iajs-1950	30	14	which	which	PRON
iajs-1950	30	15	in	in	ADP
iajs-1950	30	16	turn	turn	NOUN
iajs-1950	30	17	includes	include	VERB
iajs-1950	30	18	two	two	NUM
iajs-1950	30	19	stages	stage	NOUN
iajs-1950	30	20	which	which	PRON
iajs-1950	30	21	are	be	AUX
iajs-1950	30	22	feature	feature	NOUN
iajs-1950	30	23	extraction	extraction	NOUN
iajs-1950	30	24	and	and	CCONJ
iajs-1950	30	25	object	object	VERB
iajs-1950	30	26	classification	classification	NOUN
iajs-1950	30	27	[	[	X
iajs-1950	30	28	3	3	NUM
iajs-1950	30	29	]	]	PUNCT
iajs-1950	30	30	.	.	PUNCT
iajs-1950	31	1	depending	depend	VERB
iajs-1950	31	2	on	on	ADP
iajs-1950	31	3	the	the	DET
iajs-1950	31	4	features	feature	NOUN
iajs-1950	31	5	extracted	extract	VERB
iajs-1950	31	6	,	,	PUNCT
iajs-1950	31	7	the	the	DET
iajs-1950	31	8	candidate	candidate	NOUN
iajs-1950	31	9	objects	object	NOUN
iajs-1950	31	10	are	be	AUX
iajs-1950	31	11	then	then	ADV
iajs-1950	31	12	classified	classify	VERB
iajs-1950	31	13	into	into	ADP
iajs-1950	31	14	prespecified	prespecified	ADJ
iajs-1950	31	15	categories	category	NOUN
iajs-1950	31	16	using	use	VERB
iajs-1950	31	17	appropriate	appropriate	ADJ
iajs-1950	31	18	methods	method	NOUN
iajs-1950	31	19	through	through	ADP
iajs-1950	31	20	comparing	compare	VERB
iajs-1950	31	21	the	the	DET
iajs-1950	31	22	candidate	candidate	NOUN
iajs-1950	31	23	objects	object	VERB
iajs-1950	31	24	pattern	pattern	NOUN
iajs-1950	31	25	with	with	ADP
iajs-1950	31	26	objects	object	NOUN
iajs-1950	31	27	patterns	pattern	NOUN
iajs-1950	31	28	in	in	ADP
iajs-1950	31	29	a	a	DET
iajs-1950	31	30	reference	reference	NOUN
iajs-1950	31	31	database	database	NOUN
iajs-1950	31	32	.	.	PUNCT
iajs-1950	32	1	there	there	PRON
iajs-1950	32	2	are	be	VERB
iajs-1950	32	3	different	different	ADJ
iajs-1950	32	4	methods	method	NOUN
iajs-1950	32	5	to	to	PART
iajs-1950	32	6	classify	classify	VERB
iajs-1950	32	7	the	the	DET
iajs-1950	32	8	extracted	extract	VERB
iajs-1950	32	9	objects	object	NOUN
iajs-1950	32	10	like	like	ADP
iajs-1950	32	11	support	support	NOUN
iajs-1950	32	12	vector	vector	NOUN
iajs-1950	32	13	machine	machine	NOUN
iajs-1950	32	14	,	,	PUNCT
iajs-1950	32	15	decision	decision	NOUN
iajs-1950	32	16	tree	tree	NOUN
iajs-1950	32	17	,	,	PUNCT
iajs-1950	32	18	fuzzy	fuzzy	ADJ
iajs-1950	32	19	classification	classification	NOUN
iajs-1950	32	20	,	,	PUNCT
iajs-1950	32	21	and	and	CCONJ
iajs-1950	32	22	artificial	artificial	ADJ
iajs-1950	32	23	neural	neural	ADJ
iajs-1950	32	24	networks	network	NOUN
iajs-1950	32	25	(	(	PUNCT
iajs-1950	32	26	anns	anns	PROPN
iajs-1950	32	27	)	)	PUNCT
iajs-1950	33	1	[	[	X
iajs-1950	33	2	3	3	NUM
iajs-1950	33	3	-	-	SYM
iajs-1950	33	4	8	8	NUM
iajs-1950	33	5	]	]	PUNCT
iajs-1950	33	6	.	.	PUNCT
iajs-1950	34	1	anns	anns	PROPN
iajs-1950	34	2	have	have	AUX
iajs-1950	34	3	been	be	AUX
iajs-1950	34	4	used	use	VERB
iajs-1950	34	5	and	and	CCONJ
iajs-1950	34	6	managed	manage	VERB
iajs-1950	34	7	to	to	PART
iajs-1950	34	8	solve	solve	VERB
iajs-1950	34	9	such	such	ADJ
iajs-1950	34	10	kind	kind	NOUN
iajs-1950	34	11	of	of	ADP
iajs-1950	34	12	problems	problem	NOUN
iajs-1950	34	13	that	that	PRON
iajs-1950	34	14	were	be	AUX
iajs-1950	34	15	normally	normally	ADV
iajs-1950	34	16	solved	solve	VERB
iajs-1950	34	17	by	by	ADP
iajs-1950	34	18	statistical	statistical	ADJ
iajs-1950	34	19	ways	way	NOUN
iajs-1950	34	20	.	.	PUNCT
iajs-1950	35	1	among	among	ADP
iajs-1950	35	2	such	such	ADJ
iajs-1950	35	3	problems	problem	NOUN
iajs-1950	35	4	they	they	PRON
iajs-1950	35	5	have	have	AUX
iajs-1950	35	6	been	be	AUX
iajs-1950	35	7	used	use	VERB
iajs-1950	35	8	for	for	ADP
iajs-1950	35	9	are	be	AUX
iajs-1950	35	10	,	,	PUNCT
iajs-1950	35	11	for	for	ADP
iajs-1950	35	12	example	example	NOUN
iajs-1950	35	13	,	,	PUNCT
iajs-1950	35	14	speech	speech	NOUN
iajs-1950	35	15	recognition	recognition	NOUN
iajs-1950	35	16	,	,	PUNCT
iajs-1950	35	17	recognition	recognition	NOUN
iajs-1950	35	18	of	of	ADP
iajs-1950	35	19	currents	current	NOUN
iajs-1950	35	20	of	of	ADP
iajs-1950	35	21	sonar	sonar	NOUN
iajs-1950	35	22	beneath	beneath	ADP
iajs-1950	35	23	water	water	NOUN
iajs-1950	35	24	,	,	PUNCT
iajs-1950	35	25	guessing	guess	VERB
iajs-1950	35	26	the	the	DET
iajs-1950	35	27	subaltern	subaltern	ADJ
iajs-1950	35	28	construction	construction	NOUN
iajs-1950	35	29	of	of	ADP
iajs-1950	35	30	round	round	ADJ
iajs-1950	35	31	proteins	protein	NOUN
iajs-1950	35	32	,	,	PUNCT
iajs-1950	35	33	and	and	CCONJ
iajs-1950	35	34	classification	classification	NOUN
iajs-1950	35	35	problems	problem	NOUN
iajs-1950	35	36	[	[	X
iajs-1950	35	37	9	9	NUM
iajs-1950	35	38	]	]	PUNCT
iajs-1950	35	39	.	.	PUNCT
iajs-1950	36	1	anns	anns	PROPN
iajs-1950	36	2	are	be	AUX
iajs-1950	36	3	efficient	efficient	ADJ
iajs-1950	36	4	in	in	ADP
iajs-1950	36	5	handling	handle	VERB
iajs-1950	36	6	noisy	noisy	ADJ
iajs-1950	36	7	data	datum	NOUN
iajs-1950	36	8	[	[	X
iajs-1950	36	9	10	10	NUM
iajs-1950	36	10	]	]	PUNCT
iajs-1950	36	11	.	.	PUNCT
iajs-1950	37	1	there	there	PRON
iajs-1950	37	2	are	be	VERB
iajs-1950	37	3	different	different	ADJ
iajs-1950	37	4	types	type	NOUN
iajs-1950	37	5	of	of	ADP
iajs-1950	37	6	anns	ann	NOUN
iajs-1950	37	7	.	.	PUNCT
iajs-1950	38	1	one	one	NUM
iajs-1950	38	2	of	of	ADP
iajs-1950	38	3	the	the	DET
iajs-1950	38	4	types	type	NOUN
iajs-1950	38	5	is	be	AUX
iajs-1950	38	6	the	the	DET
iajs-1950	38	7	feed	feed	NOUN
iajs-1950	38	8	-	-	PUNCT
iajs-1950	38	9	forward	forward	NOUN
iajs-1950	38	10	anns	anns	NOUN
iajs-1950	38	11	(	(	PUNCT
iajs-1950	38	12	like	like	ADP
iajs-1950	38	13	the	the	DET
iajs-1950	38	14	single	single	ADJ
iajs-1950	38	15	layer	layer	NOUN
iajs-1950	38	16	feed	feed	NOUN
iajs-1950	38	17	-	-	PUNCT
iajs-1950	38	18	forward	forward	NOUN
iajs-1950	38	19	nets	net	NOUN
iajs-1950	38	20	,	,	PUNCT
iajs-1950	38	21	multi	multi	ADJ
iajs-1950	38	22	-	-	ADJ
iajs-1950	38	23	layer	layer	ADJ
iajs-1950	38	24	feed	feed	NOUN
iajs-1950	38	25	-	-	PUNCT
iajs-1950	38	26	forward	forward	NOUN
iajs-1950	38	27	nets	net	NOUN
iajs-1950	38	28	(	(	PUNCT
iajs-1950	38	29	mlp	mlp	NOUN
iajs-1950	38	30	)	)	PUNCT
iajs-1950	38	31	,	,	PUNCT
iajs-1950	38	32	and	and	CCONJ
iajs-1950	38	33	that	that	SCONJ
iajs-1950	38	34	called	call	VERB
iajs-1950	38	35	radial	radial	ADJ
iajs-1950	38	36	basis	basis	NOUN
iajs-1950	38	37	function	function	NOUN
iajs-1950	38	38	(	(	PUNCT
iajs-1950	38	39	rbf	rbf	PROPN
iajs-1950	38	40	)	)	PUNCT
iajs-1950	38	41	.	.	PUNCT
iajs-1950	39	1	another	another	DET
iajs-1950	39	2	type	type	NOUN
iajs-1950	39	3	is	be	AUX
iajs-1950	39	4	the	the	DET
iajs-1950	39	5	recurrent	recurrent	ADJ
iajs-1950	39	6	(	(	PUNCT
iajs-1950	39	7	feedback	feedback	NOUN
iajs-1950	39	8	)	)	PUNCT
iajs-1950	39	9	anns	anns	NOUN
iajs-1950	39	10	like	like	ADP
iajs-1950	39	11	the	the	DET
iajs-1950	39	12	hopfield	hopfield	PROPN
iajs-1950	39	13	networks	network	NOUN
iajs-1950	39	14	,	,	PUNCT
iajs-1950	39	15	elman	elman	PROPN
iajs-1950	39	16	networks	network	NOUN
iajs-1950	39	17	,	,	PUNCT
iajs-1950	39	18	and	and	CCONJ
iajs-1950	39	19	jordan	jordan	PROPN
iajs-1950	39	20	networks	networks	PROPN
iajs-1950	39	21	[	[	X
iajs-1950	39	22	11	11	NUM
iajs-1950	39	23	]	]	PUNCT
iajs-1950	39	24	.	.	PUNCT
iajs-1950	40	1	in	in	ADP
iajs-1950	40	2	this	this	DET
iajs-1950	40	3	work	work	NOUN
iajs-1950	40	4	,	,	PUNCT
iajs-1950	40	5	the	the	DET
iajs-1950	40	6	mlp	mlp	NOUN
iajs-1950	40	7	and	and	CCONJ
iajs-1950	40	8	the	the	DET
iajs-1950	40	9	rbf	rbf	PROPN
iajs-1950	40	10	are	be	AUX
iajs-1950	40	11	chosen	choose	VERB
iajs-1950	40	12	for	for	ADP
iajs-1950	40	13	classification	classification	NOUN
iajs-1950	40	14	purpose	purpose	NOUN
iajs-1950	40	15	that	that	PRON
iajs-1950	40	16	serves	serve	VERB
iajs-1950	40	17	the	the	DET
iajs-1950	40	18	target	target	NOUN
iajs-1950	40	19	of	of	ADP
iajs-1950	40	20	human	human	ADJ
iajs-1950	40	21	detection	detection	NOUN
iajs-1950	40	22	in	in	ADP
iajs-1950	40	23	a	a	DET
iajs-1950	40	24	sequence	sequence	NOUN
iajs-1950	40	25	of	of	ADP
iajs-1950	40	26	images	image	NOUN
iajs-1950	40	27	.	.	PUNCT
iajs-1950	41	1	also	also	ADV
iajs-1950	41	2	,	,	PUNCT
iajs-1950	41	3	an	an	DET
iajs-1950	41	4	evaluation	evaluation	NOUN
iajs-1950	41	5	and	and	CCONJ
iajs-1950	41	6	a	a	DET
iajs-1950	41	7	relative	relative	ADJ
iajs-1950	41	8	comparison	comparison	NOUN
iajs-1950	41	9	will	will	AUX
iajs-1950	41	10	be	be	AUX
iajs-1950	41	11	made	make	VERB
iajs-1950	41	12	among	among	ADP
iajs-1950	41	13	the	the	DET
iajs-1950	41	14	two	two	NUM
iajs-1950	41	15	methods	method	NOUN
iajs-1950	41	16	considering	consider	VERB
iajs-1950	41	17	their	their	PRON
iajs-1950	41	18	efficiency	efficiency	NOUN
iajs-1950	41	19	in	in	ADP
iajs-1950	41	20	accomplishing	accomplish	VERB
iajs-1950	41	21	the	the	DET
iajs-1950	41	22	classification	classification	NOUN
iajs-1950	41	23	.	.	PUNCT
iajs-1950	42	1	the	the	DET
iajs-1950	42	2	main	main	ADJ
iajs-1950	42	3	reason	reason	NOUN
iajs-1950	42	4	for	for	ADP
iajs-1950	42	5	choosing	choose	VERB
iajs-1950	42	6	mlp	mlp	NOUN
iajs-1950	42	7	is	be	AUX
iajs-1950	42	8	that	that	SCONJ
iajs-1950	42	9	,	,	PUNCT
iajs-1950	42	10	with	with	ADP
iajs-1950	42	11	sufficient	sufficient	ADJ
iajs-1950	42	12	data	datum	NOUN
iajs-1950	42	13	,	,	PUNCT
iajs-1950	42	14	sufficient	sufficient	ADJ
iajs-1950	42	15	inner	inner	ADJ
iajs-1950	42	16	(	(	PUNCT
iajs-1950	42	17	hidden	hidden	ADJ
iajs-1950	42	18	)	)	PUNCT
iajs-1950	42	19	units	unit	NOUN
iajs-1950	42	20	,	,	PUNCT
iajs-1950	42	21	and	and	CCONJ
iajs-1950	42	22	suitable	suitable	ADJ
iajs-1950	42	23	time	time	NOUN
iajs-1950	42	24	to	to	PART
iajs-1950	42	25	train	train	VERB
iajs-1950	42	26	,	,	PUNCT
iajs-1950	42	27	an	an	DET
iajs-1950	42	28	mlp	mlp	NOUN
iajs-1950	42	29	of	of	ADP
iajs-1950	42	30	one	one	NUM
iajs-1950	42	31	inner	inner	ADJ
iajs-1950	42	32	(	(	PUNCT
iajs-1950	42	33	hidden	hidden	ADJ
iajs-1950	42	34	)	)	PUNCT
iajs-1950	42	35	layer	layer	NOUN
iajs-1950	42	36	is	be	AUX
iajs-1950	42	37	capable	capable	ADJ
iajs-1950	42	38	to	to	PART
iajs-1950	42	39	learn	learn	VERB
iajs-1950	42	40	approximation	approximation	NOUN
iajs-1950	42	41	,	,	PUNCT
iajs-1950	42	42	essentially	essentially	ADV
iajs-1950	42	43	speaking	speak	VERB
iajs-1950	42	44	,	,	PUNCT
iajs-1950	42	45	of	of	ADP
iajs-1950	42	46	any	any	DET
iajs-1950	42	47	formula	formula	NOUN
iajs-1950	42	48	to	to	ADP
iajs-1950	42	49	any	any	DET
iajs-1950	42	50	level	level	NOUN
iajs-1950	42	51	of	of	ADP
iajs-1950	42	52	exactness	exactness	NOUN
iajs-1950	42	53	.	.	PUNCT
iajs-1950	43	1	that	that	PRON
iajs-1950	43	2	is	be	AUX
iajs-1950	43	3	why	why	SCONJ
iajs-1950	43	4	,	,	PUNCT
iajs-1950	43	5	regarding	regard	VERB
iajs-1950	43	6	approximation	approximation	NOUN
iajs-1950	43	7	,	,	PUNCT
iajs-1950	43	8	mlps	mlp	NOUN
iajs-1950	43	9	are	be	AUX
iajs-1950	43	10	said	say	VERB
iajs-1950	43	11	to	to	PART
iajs-1950	43	12	be	be	AUX
iajs-1950	43	13	characterized	characterize	VERB
iajs-1950	43	14	of	of	ADP
iajs-1950	43	15	universality	universality	NOUN
iajs-1950	43	16	.	.	PUNCT
iajs-1950	44	1	this	this	PRON
iajs-1950	44	2	means	mean	VERB
iajs-1950	44	3	they	they	PRON
iajs-1950	44	4	could	could	AUX
iajs-1950	44	5	be	be	AUX
iajs-1950	44	6	used	use	VERB
iajs-1950	44	7	in	in	ADP
iajs-1950	44	8	case	case	NOUN
iajs-1950	44	9	of	of	ADP
iajs-1950	44	10	having	have	VERB
iajs-1950	44	11	little	little	ADJ
iajs-1950	44	12	of	of	ADP
iajs-1950	44	13	ahead	ahead	ADJ
iajs-1950	44	14	information	information	NOUN
iajs-1950	44	15	that	that	PRON
iajs-1950	44	16	relates	relate	VERB
iajs-1950	44	17	the	the	DET
iajs-1950	44	18	targeted	target	VERB
iajs-1950	44	19	object	object	NOUN
iajs-1950	44	20	to	to	ADP
iajs-1950	44	21	inputs	input	NOUN
iajs-1950	44	22	.	.	PUNCT
iajs-1950	45	1	it	it	PRON
iajs-1950	45	2	is	be	AUX
iajs-1950	45	3	true	true	ADJ
iajs-1950	45	4	that	that	SCONJ
iajs-1950	45	5	one	one	NUM
iajs-1950	45	6	inner	inner	ADJ
iajs-1950	45	7	(	(	PUNCT
iajs-1950	45	8	hidden	hidden	ADJ
iajs-1950	45	9	)	)	PUNCT
iajs-1950	45	10	layer	layer	NOUN
iajs-1950	45	11	is	be	AUX
iajs-1950	45	12	enough	enough	ADJ
iajs-1950	45	13	in	in	ADP
iajs-1950	45	14	case	case	NOUN
iajs-1950	45	15	of	of	ADP
iajs-1950	45	16	having	have	VERB
iajs-1950	45	17	sufficient	sufficient	ADJ
iajs-1950	45	18	data	datum	NOUN
iajs-1950	45	19	,	,	PUNCT
iajs-1950	45	20	but	but	CCONJ
iajs-1950	45	21	there	there	PRON
iajs-1950	45	22	are	be	VERB
iajs-1950	45	23	cases	case	NOUN
iajs-1950	45	24	in	in	ADP
iajs-1950	45	25	which	which	PRON
iajs-1950	45	26	a	a	DET
iajs-1950	45	27	net	net	NOUN
iajs-1950	45	28	having	have	VERB
iajs-1950	45	29	two	two	NUM
iajs-1950	45	30	or	or	CCONJ
iajs-1950	45	31	more	more	ADV
iajs-1950	45	32	inner	inner	ADJ
iajs-1950	45	33	layers	layer	NOUN
iajs-1950	45	34	might	might	AUX
iajs-1950	45	35	need	need	VERB
iajs-1950	45	36	lesser	less	ADJ
iajs-1950	45	37	inner	inner	ADJ
iajs-1950	45	38	units	unit	NOUN
iajs-1950	45	39	and	and	CCONJ
iajs-1950	45	40	weights	weight	NOUN
iajs-1950	45	41	compared	compare	VERB
iajs-1950	45	42	to	to	ADP
iajs-1950	45	43	a	a	DET
iajs-1950	45	44	net	net	NOUN
iajs-1950	45	45	of	of	ADP
iajs-1950	45	46	one	one	NUM
iajs-1950	45	47	inner	inner	ADJ
iajs-1950	45	48	layer	layer	NOUN
iajs-1950	45	49	.	.	PUNCT
iajs-1950	46	1	this	this	PRON
iajs-1950	46	2	leads	lead	VERB
iajs-1950	46	3	to	to	ADP
iajs-1950	46	4	the	the	DET
iajs-1950	46	5	conclusion	conclusion	NOUN
iajs-1950	46	6	that	that	SCONJ
iajs-1950	46	7	additional	additional	ADJ
iajs-1950	46	8	inner	inner	ADJ
iajs-1950	46	9	layers	layer	NOUN
iajs-1950	46	10	occasionally	occasionally	ADV
iajs-1950	46	11	can	can	AUX
iajs-1950	46	12	serve	serve	VERB
iajs-1950	46	13	the	the	DET
iajs-1950	46	14	purpose	purpose	NOUN
iajs-1950	46	15	of	of	ADP
iajs-1950	46	16	generality	generality	NOUN
iajs-1950	46	17	.	.	PUNCT
iajs-1950	47	1	the	the	DET
iajs-1950	47	2	rbf	rbf	PROPN
iajs-1950	47	3	is	be	AUX
iajs-1950	47	4	chosen	choose	VERB
iajs-1950	47	5	due	due	ADP
iajs-1950	47	6	to	to	ADP
iajs-1950	47	7	its	its	PRON
iajs-1950	47	8	better	well	ADJ
iajs-1950	47	9	approximation	approximation	NOUN
iajs-1950	47	10	capability	capability	NOUN
iajs-1950	47	11	,	,	PUNCT
iajs-1950	47	12	simpler	simple	ADJ
iajs-1950	47	13	network	network	NOUN
iajs-1950	47	14	structure	structure	NOUN
iajs-1950	47	15	,	,	PUNCT
iajs-1950	47	16	and	and	CCONJ
iajs-1950	47	17	faster	fast	ADV
iajs-1950	47	18	learning	learn	VERB
iajs-1950	47	19	algorithms	algorithm	NOUN
iajs-1950	47	20	.	.	PUNCT
iajs-1950	48	1	rbf	rbf	PROPN
iajs-1950	48	2	networks	network	NOUN
iajs-1950	48	3	have	have	AUX
iajs-1950	48	4	been	be	AUX
iajs-1950	48	5	widely	widely	ADV
iajs-1950	48	6	used	use	VERB
iajs-1950	48	7	in	in	ADP
iajs-1950	48	8	many	many	ADJ
iajs-1950	48	9	science	science	NOUN
iajs-1950	48	10	and	and	CCONJ
iajs-1950	48	11	engineering	engineering	NOUN
iajs-1950	48	12	applications	application	NOUN
iajs-1950	48	13	.	.	PUNCT
iajs-1950	49	1	the	the	DET
iajs-1950	49	2	rbf	rbf	PROPN
iajs-1950	49	3	and	and	CCONJ
iajs-1950	49	4	mlp	mlp	PROPN
iajs-1950	49	5	are	be	AUX
iajs-1950	49	6	the	the	DET
iajs-1950	49	7	utmost	utmost	ADJ
iajs-1950	49	8	employed	employ	VERB
iajs-1950	49	9	kinds	kind	NOUN
iajs-1950	49	10	of	of	ADP
iajs-1950	49	11	feed	feed	NOUN
iajs-1950	49	12	-	-	PUNCT
iajs-1950	49	13	forward	forward	NOUN
iajs-1950	49	14	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	49	15	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	49	16	computer	computer	NOUN
iajs-1950	49	17	|	|	ADV
iajs-1950	49	18	212	212	NUM
iajs-1950	49	19	2018	2018	NUM
iajs-1950	49	20	(	(	PUNCT
iajs-1950	49	21	عام	عام	ADP
iajs-1950	49	22	2	2	NUM
iajs-1950	49	23	(	(	PUNCT
iajs-1950	49	24	العدد	العدد	PROPN
iajs-1950	49	25	)	)	PUNCT
iajs-1950	49	26	31لمجلد	31لمجلد	NUM
iajs-1950	49	27	)	)	PUNCT
iajs-1950	50	1	ا	ا	X
iajs-1950	51	1	مجلة	مجلة	NOUN
iajs-1950	51	2	إبن	إبن	VERB
iajs-1950	51	3	الهيثم	الهيثم	ADJ
iajs-1950	51	4	للعلوم	للعلوم	NOUN
iajs-1950	51	5	الصرفة	الصرفة	NOUN
iajs-1950	52	1	و	و	PRON
iajs-1950	52	2	التطبيقية	التطبيقية	ADJ
iajs-1950	52	3	ibn	ibn	PROPN
iajs-1950	52	4	al	al	PROPN
iajs-1950	52	5	-	-	PUNCT
iajs-1950	52	6	haitham	haitham	PROPN
iajs-1950	52	7	j.	j.	PROPN
iajs-1950	52	8	for	for	ADP
iajs-1950	52	9	pure	pure	PROPN
iajs-1950	52	10	&	&	CCONJ
iajs-1950	52	11	appl	appl	PROPN
iajs-1950	52	12	.	.	PUNCT
iajs-1950	53	1	sci	sci	PROPN
iajs-1950	53	2	.	.	PUNCT
iajs-1950	54	1	vol.31	vol.31	PROPN
iajs-1950	54	2	(	(	PUNCT
iajs-1950	54	3	2	2	NUM
iajs-1950	54	4	)	)	SYM
iajs-1950	54	5	2018	2018	NUM
iajs-1950	54	6	neural	neural	ADJ
iajs-1950	54	7	nets	net	NOUN
iajs-1950	54	8	.	.	PUNCT
iajs-1950	55	1	there	there	PRON
iajs-1950	55	2	is	be	VERB
iajs-1950	55	3	a	a	DET
iajs-1950	55	4	difference	difference	NOUN
iajs-1950	55	5	between	between	ADP
iajs-1950	55	6	the	the	DET
iajs-1950	55	7	mlp	mlp	NOUN
iajs-1950	55	8	and	and	CCONJ
iajs-1950	55	9	the	the	DET
iajs-1950	55	10	rbf	rbf	PROPN
iajs-1950	55	11	in	in	ADP
iajs-1950	55	12	how	how	SCONJ
iajs-1950	55	13	the	the	DET
iajs-1950	55	14	inner	inner	ADJ
iajs-1950	55	15	units	unit	NOUN
iajs-1950	55	16	process	process	VERB
iajs-1950	55	17	the	the	DET
iajs-1950	55	18	data	datum	NOUN
iajs-1950	55	19	streaming	streaming	NOUN
iajs-1950	55	20	from	from	ADP
iajs-1950	55	21	the	the	DET
iajs-1950	55	22	inputs	input	NOUN
iajs-1950	55	23	.	.	PUNCT
iajs-1950	56	1	where	where	SCONJ
iajs-1950	56	2	,	,	PUNCT
iajs-1950	56	3	the	the	DET
iajs-1950	56	4	rbf	rbf	PROPN
iajs-1950	56	5	depends	depend	VERB
iajs-1950	56	6	on	on	ADP
iajs-1950	56	7	the	the	DET
iajs-1950	56	8	euclidean	euclidean	ADJ
iajs-1950	56	9	distance	distance	NOUN
iajs-1950	56	10	,	,	PUNCT
iajs-1950	56	11	and	and	CCONJ
iajs-1950	56	12	the	the	DET
iajs-1950	56	13	mlp	mlp	NOUN
iajs-1950	56	14	uses	use	VERB
iajs-1950	56	15	inner	inner	ADJ
iajs-1950	56	16	products	product	NOUN
iajs-1950	56	17	.	.	PUNCT
iajs-1950	57	1	also	also	ADV
iajs-1950	57	2	,	,	PUNCT
iajs-1950	57	3	the	the	DET
iajs-1950	57	4	mlp	mlp	NOUN
iajs-1950	57	5	separates	separate	VERB
iajs-1950	57	6	the	the	DET
iajs-1950	57	7	classes	class	NOUN
iajs-1950	57	8	by	by	ADP
iajs-1950	57	9	using	use	VERB
iajs-1950	57	10	hidden	hidden	ADJ
iajs-1950	57	11	units	unit	NOUN
iajs-1950	57	12	which	which	PRON
iajs-1950	57	13	form	form	VERB
iajs-1950	57	14	hyperplanes	hyperplane	NOUN
iajs-1950	57	15	in	in	ADP
iajs-1950	57	16	the	the	DET
iajs-1950	57	17	input	input	NOUN
iajs-1950	57	18	space	space	NOUN
iajs-1950	57	19	,	,	PUNCT
iajs-1950	57	20	as	as	SCONJ
iajs-1950	57	21	indicated	indicate	VERB
iajs-1950	57	22	in	in	ADP
iajs-1950	57	23	fig	fig	NOUN
iajs-1950	57	24	.	.	PUNCT
iajs-1950	58	1	1a	1a	NOUN
iajs-1950	58	2	,	,	PUNCT
iajs-1950	58	3	while	while	SCONJ
iajs-1950	58	4	rbf	rbf	PROPN
iajs-1950	58	5	separates	separate	VERB
iajs-1950	58	6	the	the	DET
iajs-1950	58	7	classes	class	NOUN
iajs-1950	58	8	by	by	ADP
iajs-1950	58	9	local	local	ADJ
iajs-1950	58	10	kernel	kernel	NOUN
iajs-1950	58	11	functions	function	NOUN
iajs-1950	58	12	,	,	PUNCT
iajs-1950	58	13	as	as	SCONJ
iajs-1950	58	14	indicated	indicate	VERB
iajs-1950	58	15	in	in	ADP
iajs-1950	58	16	fig	fig	NOUN
iajs-1950	58	17	.	.	PUNCT
iajs-1950	59	1	1b	1b	PROPN
iajs-1950	59	2	[	[	X
iajs-1950	59	3	12	12	NUM
iajs-1950	59	4	]	]	PUNCT
iajs-1950	59	5	.	.	PUNCT
iajs-1950	60	1	regarding	regard	VERB
iajs-1950	60	2	training	training	NOUN
iajs-1950	60	3	,	,	PUNCT
iajs-1950	60	4	most	most	ADJ
iajs-1950	60	5	of	of	ADP
iajs-1950	60	6	the	the	DET
iajs-1950	60	7	methods	method	NOUN
iajs-1950	60	8	used	use	VERB
iajs-1950	60	9	for	for	ADP
iajs-1950	60	10	training	training	NOUN
iajs-1950	60	11	mlp	mlp	NOUN
iajs-1950	60	12	can	can	AUX
iajs-1950	60	13	also	also	ADV
iajs-1950	60	14	be	be	AUX
iajs-1950	60	15	applied	apply	VERB
iajs-1950	60	16	to	to	ADP
iajs-1950	60	17	rbf	rbf	PROPN
iajs-1950	60	18	networks	network	NOUN
iajs-1950	60	19	[	[	X
iajs-1950	60	20	13	13	NUM
iajs-1950	60	21	]	]	PUNCT
iajs-1950	60	22	.	.	PUNCT
iajs-1950	61	1	figure	figure	NOUN
iajs-1950	61	2	(	(	PUNCT
iajs-1950	61	3	1	1	NUM
iajs-1950	61	4	):	):	PUNCT
iajs-1950	61	5	decision	decision	NOUN
iajs-1950	61	6	surfaces	surface	NOUN
iajs-1950	61	7	in	in	ADP
iajs-1950	61	8	two	two	NUM
iajs-1950	61	9	dimensional	dimensional	ADJ
iajs-1950	61	10	space	space	NOUN
iajs-1950	61	11	:	:	PUNCT
iajs-1950	61	12	(	(	PUNCT
iajs-1950	61	13	a	a	X
iajs-1950	61	14	)	)	PUNCT
iajs-1950	61	15	multi	multi	ADJ
iajs-1950	61	16	-	-	ADJ
iajs-1950	61	17	layer	layer	ADJ
iajs-1950	61	18	perceptron	perceptron	NOUN
iajs-1950	61	19	;	;	PUNCT
iajs-1950	61	20	(	(	PUNCT
iajs-1950	61	21	b	b	X
iajs-1950	61	22	)	)	PUNCT
iajs-1950	61	23	radial	radial	ADJ
iajs-1950	61	24	basis	basis	NOUN
iajs-1950	61	25	function	function	NOUN
iajs-1950	61	26	network	network	NOUN
iajs-1950	61	27	.	.	PUNCT
iajs-1950	62	1	the	the	DET
iajs-1950	62	2	work	work	NOUN
iajs-1950	62	3	steps	step	VERB
iajs-1950	62	4	candidate	candidate	NOUN
iajs-1950	62	5	objects	object	VERB
iajs-1950	62	6	detection	detection	NOUN
iajs-1950	62	7	as	as	SCONJ
iajs-1950	62	8	stated	state	VERB
iajs-1950	62	9	in	in	ADP
iajs-1950	62	10	section	section	NOUN
iajs-1950	62	11	1	1	NUM
iajs-1950	62	12	,	,	PUNCT
iajs-1950	62	13	the	the	DET
iajs-1950	62	14	first	first	ADJ
iajs-1950	62	15	stage	stage	NOUN
iajs-1950	62	16	in	in	ADP
iajs-1950	62	17	objects	object	NOUN
iajs-1950	62	18	classification	classification	NOUN
iajs-1950	62	19	is	be	AUX
iajs-1950	62	20	candidate	candidate	NOUN
iajs-1950	62	21	objects	object	VERB
iajs-1950	62	22	detection	detection	NOUN
iajs-1950	62	23	.	.	PUNCT
iajs-1950	63	1	to	to	PART
iajs-1950	63	2	detect	detect	VERB
iajs-1950	63	3	candidate	candidate	NOUN
iajs-1950	63	4	objects	object	NOUN
iajs-1950	63	5	means	mean	VERB
iajs-1950	63	6	isolating	isolate	VERB
iajs-1950	63	7	objects	object	NOUN
iajs-1950	63	8	of	of	ADP
iajs-1950	63	9	concern	concern	NOUN
iajs-1950	63	10	in	in	ADP
iajs-1950	63	11	video	video	NOUN
iajs-1950	63	12	frames	frame	NOUN
iajs-1950	63	13	.	.	PUNCT
iajs-1950	64	1	this	this	DET
iajs-1950	64	2	purpose	purpose	NOUN
iajs-1950	64	3	can	can	AUX
iajs-1950	64	4	be	be	AUX
iajs-1950	64	5	achieved	achieve	VERB
iajs-1950	64	6	with	with	ADP
iajs-1950	64	7	different	different	ADJ
iajs-1950	64	8	approaches	approach	NOUN
iajs-1950	64	9	like	like	ADP
iajs-1950	64	10	“	"	PUNCT
iajs-1950	64	11	background	background	NOUN
iajs-1950	64	12	subtraction	subtraction	NOUN
iajs-1950	64	13	”	"	PUNCT
iajs-1950	64	14	,	,	PUNCT
iajs-1950	64	15	“	"	PUNCT
iajs-1950	64	16	frame	frame	NOUN
iajs-1950	64	17	difference	difference	NOUN
iajs-1950	64	18	”	"	PUNCT
iajs-1950	64	19	,	,	PUNCT
iajs-1950	64	20	and	and	CCONJ
iajs-1950	64	21	“	"	PUNCT
iajs-1950	64	22	optical	optical	ADJ
iajs-1950	64	23	flow	flow	NOUN
iajs-1950	64	24	”	"	PUNCT
iajs-1950	65	1	[	[	X
iajs-1950	65	2	1	1	NUM
iajs-1950	65	3	]	]	PUNCT
iajs-1950	65	4	.	.	PUNCT
iajs-1950	66	1	background	background	NOUN
iajs-1950	66	2	subtraction	subtraction	NOUN
iajs-1950	66	3	method	method	NOUN
iajs-1950	66	4	depends	depend	VERB
iajs-1950	66	5	the	the	DET
iajs-1950	66	6	difference	difference	NOUN
iajs-1950	66	7	between	between	ADP
iajs-1950	66	8	the	the	DET
iajs-1950	66	9	current	current	ADJ
iajs-1950	66	10	image	image	NOUN
iajs-1950	66	11	and	and	CCONJ
iajs-1950	66	12	the	the	DET
iajs-1950	66	13	background	background	NOUN
iajs-1950	66	14	image	image	NOUN
iajs-1950	66	15	to	to	PART
iajs-1950	66	16	detect	detect	VERB
iajs-1950	66	17	objects	object	NOUN
iajs-1950	66	18	added	add	VERB
iajs-1950	66	19	to	to	ADP
iajs-1950	66	20	the	the	DET
iajs-1950	66	21	scene	scene	NOUN
iajs-1950	66	22	[	[	X
iajs-1950	66	23	14	14	NUM
iajs-1950	66	24	]	]	PUNCT
iajs-1950	66	25	.	.	PUNCT
iajs-1950	67	1	the	the	DET
iajs-1950	67	2	method	method	NOUN
iajs-1950	67	3	formulas	formula	NOUN
iajs-1950	67	4	are	be	AUX
iajs-1950	67	5	given	give	VERB
iajs-1950	67	6	in	in	ADP
iajs-1950	67	7	eq	eq	ADP
iajs-1950	67	8	.	.	PUNCT
iajs-1950	68	1	(	(	PUNCT
iajs-1950	68	2	1	1	NUM
iajs-1950	68	3	)	)	PUNCT
iajs-1950	68	4	and	and	CCONJ
iajs-1950	68	5	(	(	PUNCT
iajs-1950	68	6	2	2	NUM
iajs-1950	68	7	):	):	PUNCT
iajs-1950	68	8	𝑅𝑘(𝑥	𝑅𝑘(𝑥	PROPN
iajs-1950	68	9	,	,	PUNCT
iajs-1950	68	10	𝑦	𝑦	NOUN
iajs-1950	68	11	)	)	PUNCT
iajs-1950	68	12	=	=	SYM
iajs-1950	68	13	𝑓𝑘	𝑓𝑘	X
iajs-1950	68	14	(	(	PUNCT
iajs-1950	68	15	𝑥	𝑥	NOUN
iajs-1950	68	16	,	,	PUNCT
iajs-1950	68	17	𝑦	𝑦	NOUN
iajs-1950	68	18	)	)	PUNCT
iajs-1950	68	19	−	−	PROPN
iajs-1950	68	20	𝐵	𝐵	NOUN
iajs-1950	68	21	(	(	PUNCT
iajs-1950	68	22	𝑥	𝑥	PROPN
iajs-1950	68	23	,	,	PUNCT
iajs-1950	68	24	𝑦	𝑦	NOUN
iajs-1950	68	25	)	)	PUNCT
iajs-1950	68	26	(	(	PUNCT
iajs-1950	68	27	1	1	X
iajs-1950	68	28	)	)	PUNCT
iajs-1950	68	29	𝐷𝑘(𝑥	𝐷𝑘(𝑥	PROPN
iajs-1950	68	30	,	,	PUNCT
iajs-1950	68	31	𝑦	𝑦	NOUN
iajs-1950	68	32	)	)	PUNCT
iajs-1950	68	33	=	=	SYM
iajs-1950	68	34	{	{	PUNCT
iajs-1950	68	35	1	1	NUM
iajs-1950	68	36	𝑏𝑎𝑐𝑘	𝑏𝑎𝑐𝑘	PROPN
iajs-1950	68	37	𝑔𝑟𝑜𝑢𝑛𝑑	𝑔𝑟𝑜𝑢𝑛𝑑	PROPN
iajs-1950	68	38	𝑅𝑘(𝑥	𝑅𝑘(𝑥	PROPN
iajs-1950	68	39	,	,	PUNCT
iajs-1950	68	40	𝑦	𝑦	NOUN
iajs-1950	68	41	)	)	PUNCT
iajs-1950	68	42	>	>	X
iajs-1950	68	43	𝑇	𝑇	PROPN
iajs-1950	68	44	0	0	NUM
iajs-1950	68	45	𝑡𝑎𝑟𝑔𝑒𝑡	𝑡𝑎𝑟𝑔𝑒𝑡	ADV
iajs-1950	68	46	𝑅𝑘(𝑥	𝑅𝑘(𝑥	PROPN
iajs-1950	68	47	,	,	PUNCT
iajs-1950	68	48	𝑦	𝑦	NOUN
iajs-1950	68	49	)	)	PUNCT
iajs-1950	68	50	≤	≤	NOUN
iajs-1950	68	51	𝑇	𝑇	PROPN
iajs-1950	68	52	}	}	PUNCT
iajs-1950	68	53	(	(	PUNCT
iajs-1950	68	54	2	2	X
iajs-1950	68	55	)	)	PUNCT
iajs-1950	68	56	where	where	SCONJ
iajs-1950	68	57	𝑓𝑘	𝑓𝑘	PRON
iajs-1950	68	58	is	be	AUX
iajs-1950	68	59	the	the	DET
iajs-1950	68	60	current	current	ADJ
iajs-1950	68	61	frame	frame	NOUN
iajs-1950	68	62	,	,	PUNCT
iajs-1950	68	63	𝐵	𝐵	NOUN
iajs-1950	68	64	is	be	AUX
iajs-1950	68	65	the	the	DET
iajs-1950	68	66	background	background	NOUN
iajs-1950	68	67	image	image	NOUN
iajs-1950	68	68	,	,	PUNCT
iajs-1950	68	69	and	and	CCONJ
iajs-1950	68	70	t	t	PROPN
iajs-1950	68	71	is	be	AUX
iajs-1950	68	72	the	the	DET
iajs-1950	68	73	threshold	threshold	NOUN
iajs-1950	68	74	value	value	NOUN
iajs-1950	68	75	.	.	PUNCT
iajs-1950	69	1	pattern	pattern	NOUN
iajs-1950	69	2	recognition	recognition	NOUN
iajs-1950	69	3	the	the	DET
iajs-1950	69	4	second	second	ADJ
iajs-1950	69	5	stage	stage	NOUN
iajs-1950	69	6	in	in	ADP
iajs-1950	69	7	candidate	candidate	NOUN
iajs-1950	69	8	objects	object	VERB
iajs-1950	69	9	classification	classification	NOUN
iajs-1950	69	10	is	be	AUX
iajs-1950	69	11	pattern	pattern	NOUN
iajs-1950	69	12	recognition	recognition	NOUN
iajs-1950	69	13	.	.	PUNCT
iajs-1950	70	1	the	the	DET
iajs-1950	70	2	issue	issue	NOUN
iajs-1950	70	3	of	of	ADP
iajs-1950	70	4	recognizing	recognize	VERB
iajs-1950	70	5	patterns	pattern	NOUN
iajs-1950	70	6	can	can	AUX
iajs-1950	70	7	be	be	AUX
iajs-1950	70	8	subdivided	subdivide	VERB
iajs-1950	70	9	into	into	ADP
iajs-1950	70	10	two	two	NUM
iajs-1950	70	11	problems	problem	NOUN
iajs-1950	70	12	,	,	PUNCT
iajs-1950	70	13	extracting	extract	VERB
iajs-1950	70	14	features	feature	NOUN
iajs-1950	70	15	,	,	PUNCT
iajs-1950	70	16	and	and	CCONJ
iajs-1950	70	17	classifying	classify	VERB
iajs-1950	70	18	.	.	PUNCT
iajs-1950	71	1	next	next	ADJ
iajs-1950	71	2	to	to	ADP
iajs-1950	71	3	detection	detection	NOUN
iajs-1950	71	4	of	of	ADP
iajs-1950	71	5	objects	object	NOUN
iajs-1950	71	6	of	of	ADP
iajs-1950	71	7	concern	concern	NOUN
iajs-1950	71	8	,	,	PUNCT
iajs-1950	71	9	it	it	PRON
iajs-1950	71	10	is	be	AUX
iajs-1950	71	11	important	important	ADJ
iajs-1950	71	12	to	to	PART
iajs-1950	71	13	abstract	abstract	VERB
iajs-1950	71	14	some	some	DET
iajs-1950	71	15	features	feature	NOUN
iajs-1950	71	16	for	for	ADP
iajs-1950	71	17	recognizing	recognize	VERB
iajs-1950	71	18	and	and	CCONJ
iajs-1950	71	19	modeling	model	VERB
iajs-1950	71	20	their	their	PRON
iajs-1950	71	21	shapes	shape	NOUN
iajs-1950	71	22	in	in	ADP
iajs-1950	71	23	automatic	automatic	ADJ
iajs-1950	71	24	way	way	NOUN
iajs-1950	71	25	.	.	PUNCT
iajs-1950	72	1	such	such	ADJ
iajs-1950	72	2	thing	thing	NOUN
iajs-1950	72	3	can	can	AUX
iajs-1950	72	4	be	be	AUX
iajs-1950	72	5	achieved	achieve	VERB
iajs-1950	72	6	through	through	ADP
iajs-1950	72	7	finding	find	VERB
iajs-1950	72	8	a	a	DET
iajs-1950	72	9	collection	collection	NOUN
iajs-1950	72	10	of	of	ADP
iajs-1950	72	11	coefficients	coefficient	NOUN
iajs-1950	72	12	that	that	PRON
iajs-1950	72	13	provides	provide	VERB
iajs-1950	72	14	a	a	DET
iajs-1950	72	15	substantial	substantial	ADJ
iajs-1950	72	16	description	description	NOUN
iajs-1950	72	17	for	for	SCONJ
iajs-1950	72	18	the	the	DET
iajs-1950	72	19	information	information	NOUN
iajs-1950	72	20	being	be	AUX
iajs-1950	72	21	delivered	deliver	VERB
iajs-1950	72	22	[	[	PUNCT
iajs-1950	72	23	1	1	NUM
iajs-1950	72	24	]	]	PUNCT
iajs-1950	72	25	.	.	PUNCT
iajs-1950	73	1	regarding	regard	VERB
iajs-1950	73	2	classification	classification	NOUN
iajs-1950	73	3	,	,	PUNCT
iajs-1950	73	4	the	the	DET
iajs-1950	73	5	objects	object	NOUN
iajs-1950	73	6	are	be	AUX
iajs-1950	73	7	classified	classify	VERB
iajs-1950	73	8	based	base	VERB
iajs-1950	73	9	on	on	ADP
iajs-1950	73	10	the	the	DET
iajs-1950	73	11	extracted	extract	VERB
iajs-1950	73	12	features	feature	NOUN
iajs-1950	73	13	into	into	ADP
iajs-1950	73	14	different	different	ADJ
iajs-1950	73	15	categories	category	NOUN
iajs-1950	73	16	by	by	ADP
iajs-1950	73	17	using	use	VERB
iajs-1950	73	18	suitable	suitable	ADJ
iajs-1950	73	19	methods	method	NOUN
iajs-1950	73	20	that	that	PRON
iajs-1950	73	21	compare	compare	VERB
iajs-1950	73	22	the	the	DET
iajs-1950	73	23	objects	object	NOUN
iajs-1950	73	24	of	of	ADP
iajs-1950	73	25	interest	interest	NOUN
iajs-1950	73	26	with	with	ADP
iajs-1950	73	27	objects	object	NOUN
iajs-1950	73	28	inside	inside	ADP
iajs-1950	73	29	a	a	DET
iajs-1950	73	30	reference	reference	NOUN
iajs-1950	73	31	database	database	NOUN
iajs-1950	73	32	,	,	PUNCT
iajs-1950	73	33	[	[	X
iajs-1950	73	34	13	13	NUM
iajs-1950	73	35	]	]	PUNCT
iajs-1950	73	36	.	.	PUNCT
iajs-1950	74	1	the	the	DET
iajs-1950	74	2	approaches	approach	NOUN
iajs-1950	74	3	used	use	VERB
iajs-1950	74	4	up	up	ADP
iajs-1950	74	5	to	to	ADP
iajs-1950	74	6	now	now	ADV
iajs-1950	74	7	for	for	ADP
iajs-1950	74	8	classifying	classify	VERB
iajs-1950	74	9	the	the	DET
iajs-1950	74	10	objects	object	NOUN
iajs-1950	74	11	are	be	AUX
iajs-1950	74	12	either	either	CCONJ
iajs-1950	74	13	“	"	PUNCT
iajs-1950	74	14	shaping	shaping	NOUN
iajs-1950	74	15	”	"	PUNCT
iajs-1950	74	16	based	base	VERB
iajs-1950	74	17	,	,	PUNCT
iajs-1950	74	18	or	or	CCONJ
iajs-1950	74	19	“	"	PUNCT
iajs-1950	74	20	movement	movement	NOUN
iajs-1950	74	21	”	"	PUNCT
iajs-1950	74	22	based	base	VERB
iajs-1950	74	23	,	,	PUNCT
iajs-1950	74	24	or	or	CCONJ
iajs-1950	74	25	“	"	PUNCT
iajs-1950	74	26	coloring	coloring	NOUN
iajs-1950	74	27	”	"	PUNCT
iajs-1950	74	28	based	base	VERB
iajs-1950	74	29	,	,	PUNCT
iajs-1950	74	30	or	or	CCONJ
iajs-1950	74	31	“	"	PUNCT
iajs-1950	74	32	structure	structure	NOUN
iajs-1950	74	33	”	"	PUNCT
iajs-1950	74	34	based	base	VERB
iajs-1950	74	35	[	[	X
iajs-1950	74	36	2	2	NUM
iajs-1950	74	37	]	]	PUNCT
iajs-1950	74	38	.	.	PUNCT
iajs-1950	75	1	the	the	DET
iajs-1950	75	2	abstracted	abstract	VERB
iajs-1950	75	3	attributes	attribute	NOUN
iajs-1950	75	4	or	or	CCONJ
iajs-1950	75	5	features	feature	NOUN
iajs-1950	75	6	are	be	AUX
iajs-1950	75	7	submitted	submit	VERB
iajs-1950	75	8	to	to	ADP
iajs-1950	75	9	the	the	DET
iajs-1950	75	10	classifying	classify	VERB
iajs-1950	75	11	net	net	NOUN
iajs-1950	75	12	[	[	X
iajs-1950	75	13	1	1	NUM
iajs-1950	75	14	]	]	PUNCT
iajs-1950	75	15	,	,	PUNCT
iajs-1950	75	16	which	which	PRON
iajs-1950	75	17	(	(	PUNCT
iajs-1950	75	18	i.e.	i.e.	X
iajs-1950	75	19	the	the	DET
iajs-1950	75	20	classifying	classify	VERB
iajs-1950	75	21	net	net	NOUN
iajs-1950	75	22	)	)	PUNCT
iajs-1950	75	23	is	be	AUX
iajs-1950	75	24	an	an	DET
iajs-1950	75	25	artificial	artificial	ADJ
iajs-1950	75	26	neural	neural	ADJ
iajs-1950	75	27	network	network	NOUN
iajs-1950	75	28	in	in	ADP
iajs-1950	75	29	this	this	DET
iajs-1950	75	30	work	work	NOUN
iajs-1950	75	31	.	.	PUNCT
iajs-1950	76	1	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	76	2	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	76	3	computer	computer	NOUN
iajs-1950	76	4	|	|	ADV
iajs-1950	76	5	213	213	NUM
iajs-1950	76	6	2018	2018	NUM
iajs-1950	76	7	(	(	PUNCT
iajs-1950	76	8	عام	عام	ADP
iajs-1950	76	9	2	2	NUM
iajs-1950	76	10	(	(	PUNCT
iajs-1950	76	11	العدد	العدد	PROPN
iajs-1950	76	12	)	)	PUNCT
iajs-1950	76	13	31لمجلد	31لمجلد	NUM
iajs-1950	76	14	)	)	PUNCT
iajs-1950	77	1	ا	ا	X
iajs-1950	78	1	مجلة	مجلة	NOUN
iajs-1950	78	2	إبن	إبن	VERB
iajs-1950	78	3	الهيثم	الهيثم	ADJ
iajs-1950	78	4	للعلوم	للعلوم	NOUN
iajs-1950	78	5	الصرفة	الصرفة	NOUN
iajs-1950	79	1	و	و	PRON
iajs-1950	79	2	التطبيقية	التطبيقية	ADJ
iajs-1950	79	3	ibn	ibn	PROPN
iajs-1950	79	4	al	al	PROPN
iajs-1950	79	5	-	-	PUNCT
iajs-1950	79	6	haitham	haitham	PROPN
iajs-1950	79	7	j.	j.	PROPN
iajs-1950	79	8	for	for	ADP
iajs-1950	79	9	pure	pure	PROPN
iajs-1950	79	10	&	&	CCONJ
iajs-1950	79	11	appl	appl	PROPN
iajs-1950	79	12	.	.	PUNCT
iajs-1950	80	1	sci	sci	PROPN
iajs-1950	80	2	.	.	PUNCT
iajs-1950	81	1	vol.31	vol.31	PROPN
iajs-1950	81	2	(	(	PUNCT
iajs-1950	81	3	2	2	NUM
iajs-1950	81	4	)	)	PUNCT
iajs-1950	81	5	2018	2018	NUM
iajs-1950	81	6	to	to	PART
iajs-1950	81	7	get	get	VERB
iajs-1950	81	8	some	some	DET
iajs-1950	81	9	features	feature	NOUN
iajs-1950	81	10	about	about	ADP
iajs-1950	81	11	the	the	DET
iajs-1950	81	12	object	object	NOUN
iajs-1950	81	13	,	,	PUNCT
iajs-1950	81	14	some	some	DET
iajs-1950	81	15	steps	step	NOUN
iajs-1950	81	16	need	need	VERB
iajs-1950	81	17	to	to	PART
iajs-1950	81	18	be	be	AUX
iajs-1950	81	19	done	do	VERB
iajs-1950	81	20	.	.	PUNCT
iajs-1950	82	1	firstly	firstly	ADV
iajs-1950	82	2	,	,	PUNCT
iajs-1950	82	3	the	the	DET
iajs-1950	82	4	system	system	NOUN
iajs-1950	82	5	produces	produce	VERB
iajs-1950	82	6	a	a	DET
iajs-1950	82	7	different	different	ADJ
iajs-1950	82	8	form	form	NOUN
iajs-1950	82	9	for	for	ADP
iajs-1950	82	10	the	the	DET
iajs-1950	82	11	binary	binary	ADJ
iajs-1950	82	12	image	image	NOUN
iajs-1950	82	13	of	of	ADP
iajs-1950	82	14	the	the	DET
iajs-1950	82	15	targeted	target	VERB
iajs-1950	82	16	object	object	NOUN
iajs-1950	82	17	.	.	PUNCT
iajs-1950	83	1	then	then	ADV
iajs-1950	83	2	,	,	PUNCT
iajs-1950	83	3	based	base	VERB
iajs-1950	83	4	on	on	ADP
iajs-1950	83	5	this	this	DET
iajs-1950	83	6	newly	newly	ADV
iajs-1950	83	7	produced	produce	VERB
iajs-1950	83	8	form	form	NOUN
iajs-1950	83	9	,	,	PUNCT
iajs-1950	83	10	the	the	DET
iajs-1950	83	11	most	most	ADV
iajs-1950	83	12	important	important	ADJ
iajs-1950	83	13	statistic	statistic	ADJ
iajs-1950	83	14	and	and	CCONJ
iajs-1950	83	15	geometric	geometric	ADJ
iajs-1950	83	16	properties	property	NOUN
iajs-1950	83	17	are	be	AUX
iajs-1950	83	18	extracted	extract	VERB
iajs-1950	83	19	.	.	PUNCT
iajs-1950	84	1	this	this	DET
iajs-1950	84	2	new	new	ADJ
iajs-1950	84	3	representation	representation	NOUN
iajs-1950	84	4	is	be	AUX
iajs-1950	84	5	composed	compose	VERB
iajs-1950	84	6	of	of	ADP
iajs-1950	84	7	two	two	NUM
iajs-1950	84	8	projections	projection	NOUN
iajs-1950	84	9	,	,	PUNCT
iajs-1950	84	10	vertical	vertical	ADJ
iajs-1950	84	11	and	and	CCONJ
iajs-1950	84	12	horizontal	horizontal	ADJ
iajs-1950	84	13	.	.	PUNCT
iajs-1950	85	1	where	where	SCONJ
iajs-1950	85	2	,	,	PUNCT
iajs-1950	85	3	the	the	DET
iajs-1950	85	4	vertical	vertical	ADJ
iajs-1950	85	5	projection	projection	NOUN
iajs-1950	85	6	is	be	AUX
iajs-1950	85	7	given	give	VERB
iajs-1950	85	8	by	by	ADP
iajs-1950	85	9	the	the	DET
iajs-1950	85	10	sum	sum	NOUN
iajs-1950	85	11	of	of	ADP
iajs-1950	85	12	the	the	DET
iajs-1950	85	13	white	white	ADJ
iajs-1950	85	14	points	point	NOUN
iajs-1950	85	15	in	in	ADP
iajs-1950	85	16	the	the	DET
iajs-1950	85	17	rows	row	NOUN
iajs-1950	85	18	of	of	ADP
iajs-1950	85	19	the	the	DET
iajs-1950	85	20	binary	binary	ADJ
iajs-1950	85	21	image	image	NOUN
iajs-1950	85	22	,	,	PUNCT
iajs-1950	85	23	and	and	CCONJ
iajs-1950	85	24	the	the	DET
iajs-1950	85	25	horizontal	horizontal	ADJ
iajs-1950	85	26	projection	projection	NOUN
iajs-1950	85	27	is	be	AUX
iajs-1950	85	28	given	give	VERB
iajs-1950	85	29	by	by	ADP
iajs-1950	85	30	the	the	DET
iajs-1950	85	31	sum	sum	NOUN
iajs-1950	85	32	of	of	ADP
iajs-1950	85	33	the	the	DET
iajs-1950	85	34	white	white	ADJ
iajs-1950	85	35	points	point	NOUN
iajs-1950	85	36	in	in	ADP
iajs-1950	85	37	the	the	DET
iajs-1950	85	38	columns	column	NOUN
iajs-1950	85	39	of	of	ADP
iajs-1950	85	40	the	the	DET
iajs-1950	85	41	binary	binary	ADJ
iajs-1950	85	42	image	image	NOUN
iajs-1950	85	43	and	and	CCONJ
iajs-1950	85	44	as	as	SCONJ
iajs-1950	85	45	given	give	VERB
iajs-1950	85	46	by	by	ADP
iajs-1950	85	47	the	the	DET
iajs-1950	85	48	following	follow	VERB
iajs-1950	85	49	formulas	formula	NOUN
iajs-1950	85	50	[	[	X
iajs-1950	85	51	1	1	NUM
iajs-1950	85	52	]	]	PUNCT
iajs-1950	85	53	.	.	PUNCT
iajs-1950	86	1	𝐻	𝐻	PROPN
iajs-1950	86	2	𝑝𝑟𝑜(𝑗	𝑝𝑟𝑜(𝑗	PROPN
iajs-1950	86	3	)	)	PUNCT
iajs-1950	86	4	=	=	PUNCT
iajs-1950	86	5	∑	∑	PUNCT
iajs-1950	86	6	𝐼(𝑖.	𝐼(𝑖.	PROPN
iajs-1950	86	7	𝑗	𝑗	X
iajs-1950	86	8	)	)	PUNCT
iajs-1950	86	9	𝑁	𝑁	PROPN
iajs-1950	86	10	𝑖=1	𝑖=1	PROPN
iajs-1950	86	11	(	(	PUNCT
iajs-1950	86	12	3	3	X
iajs-1950	86	13	)	)	PUNCT
iajs-1950	86	14	𝑉	𝑉	PROPN
iajs-1950	86	15	𝑝𝑟𝑜(𝑖	𝑝𝑟𝑜(𝑖	PROPN
iajs-1950	86	16	)	)	PUNCT
iajs-1950	86	17	=	=	PUNCT
iajs-1950	87	1	∑	∑	PUNCT
iajs-1950	87	2	𝐼(𝑖.	𝐼(𝑖.	PROPN
iajs-1950	87	3	𝑗	𝑗	PROPN
iajs-1950	87	4	)	)	PUNCT
iajs-1950	87	5	𝑀	𝑀	PROPN
iajs-1950	87	6	𝑗=1	𝑗=1	PROPN
iajs-1950	87	7	(	(	PUNCT
iajs-1950	87	8	4	4	NUM
iajs-1950	87	9	)	)	PUNCT
iajs-1950	87	10	where	where	SCONJ
iajs-1950	87	11	,	,	PUNCT
iajs-1950	87	12	m	m	VERB
iajs-1950	87	13	represents	represent	VERB
iajs-1950	87	14	columns	column	NOUN
iajs-1950	87	15	’	'	PUNCT
iajs-1950	87	16	number	number	NOUN
iajs-1950	87	17	in	in	ADP
iajs-1950	87	18	the	the	DET
iajs-1950	87	19	binary	binary	ADJ
iajs-1950	87	20	representation	representation	NOUN
iajs-1950	87	21	of	of	ADP
iajs-1950	87	22	the	the	DET
iajs-1950	87	23	image	image	NOUN
iajs-1950	88	1	i	i	PRON
iajs-1950	88	2	and	and	CCONJ
iajs-1950	88	3	n	n	PRON
iajs-1950	88	4	is	be	AUX
iajs-1950	88	5	the	the	DET
iajs-1950	88	6	rows	row	NOUN
iajs-1950	88	7	’	'	PUNCT
iajs-1950	88	8	number	number	NOUN
iajs-1950	88	9	.	.	PUNCT
iajs-1950	89	1	from	from	ADP
iajs-1950	89	2	eq	eq	ADP
iajs-1950	89	3	.	.	PUNCT
iajs-1950	90	1	(	(	PUNCT
iajs-1950	90	2	3	3	NUM
iajs-1950	90	3	)	)	PUNCT
iajs-1950	90	4	and	and	CCONJ
iajs-1950	90	5	(	(	PUNCT
iajs-1950	90	6	4	4	NUM
iajs-1950	90	7	)	)	PUNCT
iajs-1950	90	8	,	,	PUNCT
iajs-1950	90	9	seven	seven	NUM
iajs-1950	90	10	parameters	parameter	NOUN
iajs-1950	90	11	(	(	PUNCT
iajs-1950	90	12	pr1	pr1	NOUN
iajs-1950	90	13	-	-	PUNCT
iajs-1950	90	14	pr7	pr7	NOUN
iajs-1950	90	15	)	)	PUNCT
iajs-1950	90	16	are	be	AUX
iajs-1950	90	17	evaluated	evaluate	VERB
iajs-1950	90	18	which	which	PRON
iajs-1950	90	19	represent	represent	VERB
iajs-1950	90	20	the	the	DET
iajs-1950	90	21	object	object	NOUN
iajs-1950	90	22	shape	shape	NOUN
iajs-1950	90	23	.	.	PUNCT
iajs-1950	91	1	the	the	DET
iajs-1950	91	2	parameters	parameter	NOUN
iajs-1950	91	3	are	be	AUX
iajs-1950	91	4	:	:	PUNCT
iajs-1950	91	5	1	1	X
iajs-1950	91	6	.	.	X
iajs-1950	91	7	vertical	vertical	ADJ
iajs-1950	91	8	projection	projection	PROPN
iajs-1950	91	9	largest	large	ADJ
iajs-1950	91	10	value	value	NOUN
iajs-1950	91	11	:	:	PUNCT
iajs-1950	91	12	𝑃𝑅1	𝑃𝑅1	PROPN
iajs-1950	91	13	=	=	SYM
iajs-1950	91	14	max	max	PROPN
iajs-1950	91	15	𝑖𝑚𝑢𝑚	𝑖𝑚𝑢𝑚	PROPN
iajs-1950	91	16	{	{	PUNCT
iajs-1950	91	17	𝑉	𝑉	PROPN
iajs-1950	91	18	𝑝𝑟𝑜(𝑖	𝑝𝑟𝑜(𝑖	PROPN
iajs-1950	91	19	)	)	PUNCT
iajs-1950	91	20	}	}	PUNCT
iajs-1950	91	21	(	(	PUNCT
iajs-1950	91	22	5	5	NUM
iajs-1950	91	23	)	)	SYM
iajs-1950	91	24	2	2	NUM
iajs-1950	91	25	.	.	PUNCT
iajs-1950	91	26	horizontal	horizontal	ADJ
iajs-1950	91	27	projection	projection	PROPN
iajs-1950	91	28	largest	large	ADJ
iajs-1950	91	29	value	value	NOUN
iajs-1950	91	30	:	:	PUNCT
iajs-1950	91	31	𝑃𝑅2	𝑃𝑅2	PROPN
iajs-1950	91	32	=	=	PUNCT
iajs-1950	91	33	maximum	maximum	ADJ
iajs-1950	91	34	{	{	PUNCT
iajs-1950	91	35	𝐻	𝐻	NOUN
iajs-1950	91	36	𝑝𝑟𝑜(𝑗	𝑝𝑟𝑜(𝑗	PROPN
iajs-1950	91	37	)	)	PUNCT
iajs-1950	91	38	}	}	PUNCT
iajs-1950	91	39	(	(	PUNCT
iajs-1950	91	40	6	6	NUM
iajs-1950	91	41	)	)	PUNCT
iajs-1950	91	42	3	3	NUM
iajs-1950	91	43	.	.	PUNCT
iajs-1950	92	1	“	"	PUNCT
iajs-1950	92	2	vertical	vertical	ADJ
iajs-1950	92	3	projection	projection	NOUN
iajs-1950	92	4	”	"	PUNCT
iajs-1950	92	5	factors	factor	NOUN
iajs-1950	92	6	summation	summation	NOUN
iajs-1950	92	7	(	(	PUNCT
iajs-1950	92	8	similar	similar	ADJ
iajs-1950	92	9	for	for	ADP
iajs-1950	92	10	“	"	PUNCT
iajs-1950	92	11	horizontal	horizontal	ADJ
iajs-1950	92	12	projection	projection	NOUN
iajs-1950	92	13	”	"	PUNCT
iajs-1950	92	14	):	):	PUNCT
iajs-1950	92	15	𝑃𝑅3	𝑃𝑅3	PROPN
iajs-1950	92	16	=	=	SYM
iajs-1950	92	17	∑	∑	PUNCT
iajs-1950	92	18	𝑉	𝑉	PROPN
iajs-1950	92	19	𝑝𝑟𝑜(𝑖)𝑁	𝑝𝑟𝑜(𝑖)𝑁	NOUN
iajs-1950	92	20	𝑖=1	𝑖=1	PUNCT
iajs-1950	93	1	=	=	PUNCT
iajs-1950	93	2	∑	∑	PUNCT
iajs-1950	93	3	𝐻	𝐻	PROPN
iajs-1950	93	4	𝑝𝑟𝑜(𝑗)𝑀	𝑝𝑟𝑜(𝑗)𝑀	NOUN
iajs-1950	93	5	𝐽=1	𝐽=1	PROPN
iajs-1950	93	6	(	(	PUNCT
iajs-1950	93	7	7	7	NUM
iajs-1950	93	8	)	)	SYM
iajs-1950	93	9	4	4	NUM
iajs-1950	93	10	.	.	PUNCT
iajs-1950	94	1	“	"	PUNCT
iajs-1950	94	2	vertical	vertical	ADJ
iajs-1950	94	3	projection	projection	NOUN
iajs-1950	94	4	”	"	PUNCT
iajs-1950	94	5	mean	mean	NOUN
iajs-1950	94	6	value	value	NOUN
iajs-1950	94	7	:	:	PUNCT
iajs-1950	94	8	𝑃𝑅4	𝑃𝑅4	PROPN
iajs-1950	94	9	=	=	SYM
iajs-1950	94	10	∑	∑	PUNCT
iajs-1950	94	11	𝑉	𝑉	PROPN
iajs-1950	94	12	𝑝𝑟𝑜(𝑖	𝑝𝑟𝑜(𝑖	PROPN
iajs-1950	94	13	)	)	PUNCT
iajs-1950	94	14	/	/	SYM
iajs-1950	94	15	𝐻𝑁	𝐻𝑁	PROPN
iajs-1950	94	16	𝑖=1	𝑖=1	PUNCT
iajs-1950	94	17	(	(	PUNCT
iajs-1950	94	18	8)	8)	NUM
iajs-1950	94	19	where	where	SCONJ
iajs-1950	94	20	;	;	PUNCT
iajs-1950	94	21	h	h	NOUN
iajs-1950	94	22	represents	represent	VERB
iajs-1950	94	23	the	the	DET
iajs-1950	94	24	quantity	quantity	NOUN
iajs-1950	94	25	of	of	ADP
iajs-1950	94	26	components	component	NOUN
iajs-1950	94	27	of	of	ADP
iajs-1950	94	28	nonzero	nonzero	PROPN
iajs-1950	94	29	value	value	NOUN
iajs-1950	94	30	in	in	ADP
iajs-1950	94	31	the	the	DET
iajs-1950	94	32	“	"	PUNCT
iajs-1950	94	33	vertical	vertical	ADJ
iajs-1950	94	34	projection	projection	NOUN
iajs-1950	94	35	”	"	PUNCT
iajs-1950	94	36	(	(	PUNCT
iajs-1950	94	37	n	n	CCONJ
iajs-1950	94	38	≥	≥	NOUN
iajs-1950	94	39	h	h	NOUN
iajs-1950	94	40	)	)	PUNCT
iajs-1950	94	41	.	.	PUNCT
iajs-1950	95	1	5	5	X
iajs-1950	95	2	.	.	X
iajs-1950	95	3	“	"	PUNCT
iajs-1950	95	4	horizontal	horizontal	ADJ
iajs-1950	95	5	projection	projection	NOUN
iajs-1950	95	6	”	"	PUNCT
iajs-1950	95	7	mean	mean	NOUN
iajs-1950	95	8	value	value	NOUN
iajs-1950	95	9	:	:	PUNCT
iajs-1950	95	10	𝑃𝑅5	𝑃𝑅5	PROPN
iajs-1950	95	11	=	=	PUNCT
iajs-1950	95	12	∑	∑	PUNCT
iajs-1950	95	13	𝐻	𝐻	PROPN
iajs-1950	95	14	𝑝𝑟𝑜(𝑗)/𝑘𝑀	𝑝𝑟𝑜(𝑗)/𝑘𝑀	PRON
iajs-1950	95	15	𝑗=1	𝑗=1	PROPN
iajs-1950	95	16	(	(	PUNCT
iajs-1950	95	17	9	9	NUM
iajs-1950	95	18	)	)	PUNCT
iajs-1950	95	19	where	where	SCONJ
iajs-1950	95	20	;	;	PUNCT
iajs-1950	95	21	k	k	X
iajs-1950	95	22	represents	represent	VERB
iajs-1950	95	23	the	the	DET
iajs-1950	95	24	quantity	quantity	NOUN
iajs-1950	95	25	of	of	ADP
iajs-1950	95	26	components	component	NOUN
iajs-1950	95	27	of	of	ADP
iajs-1950	95	28	nonzero	nonzero	PROPN
iajs-1950	95	29	value	value	NOUN
iajs-1950	95	30	in	in	ADP
iajs-1950	95	31	the	the	DET
iajs-1950	95	32	“	"	PUNCT
iajs-1950	95	33	vertical	vertical	ADJ
iajs-1950	95	34	projection	projection	NOUN
iajs-1950	95	35	”	"	PUNCT
iajs-1950	95	36	(	(	PUNCT
iajs-1950	95	37	m	m	PROPN
iajs-1950	95	38	≥	≥	NOUN
iajs-1950	95	39	k	k	NOUN
iajs-1950	95	40	)	)	PUNCT
iajs-1950	95	41	.	.	PUNCT
iajs-1950	96	1	6	6	X
iajs-1950	96	2	.	.	PUNCT
iajs-1950	96	3	“	"	PUNCT
iajs-1950	96	4	vertical	vertical	ADJ
iajs-1950	96	5	projection	projection	NOUN
iajs-1950	96	6	”	"	PUNCT
iajs-1950	96	7	standard	standard	ADJ
iajs-1950	96	8	deviation	deviation	NOUN
iajs-1950	96	9	:	:	PUNCT
iajs-1950	96	10	𝑃𝑅6	𝑃𝑅6	PROPN
iajs-1950	96	11	=	=	PUNCT
iajs-1950	96	12	∑	∑	PUNCT
iajs-1950	96	13	|𝑉	|𝑉	NUM
iajs-1950	96	14	𝑝𝑟𝑜(𝑗	𝑝𝑟𝑜(𝑗	SYM
iajs-1950	96	15	)	)	PUNCT
iajs-1950	96	16	−	−	PROPN
iajs-1950	96	17	∑	∑	PROPN
iajs-1950	96	18	𝑉	𝑉	PROPN
iajs-1950	96	19	𝑝𝑟𝑜(𝑖	𝑝𝑟𝑜(𝑖	PROPN
iajs-1950	96	20	)	)	PUNCT
iajs-1950	96	21	/𝐻|𝑁	/𝐻|𝑁	PUNCT
iajs-1950	97	1	𝑖=1	𝑖=1	PUNCT
iajs-1950	98	1	𝑁	𝑁	NOUN
iajs-1950	98	2	𝑖=1	𝑖=1	PROPN
iajs-1950	98	3	(	(	PUNCT
iajs-1950	98	4	10	10	NUM
iajs-1950	98	5	)	)	PUNCT
iajs-1950	98	6	7	7	NUM
iajs-1950	98	7	.	.	PUNCT
iajs-1950	99	1	“	"	PUNCT
iajs-1950	99	2	horizontal	horizontal	ADJ
iajs-1950	99	3	projection	projection	NOUN
iajs-1950	99	4	”	"	PUNCT
iajs-1950	99	5	standard	standard	ADJ
iajs-1950	99	6	deviation	deviation	NOUN
iajs-1950	99	7	:	:	PUNCT
iajs-1950	99	8	𝑃𝑅7	𝑃𝑅7	PROPN
iajs-1950	99	9	=	=	SYM
iajs-1950	99	10	∑	∑	PROPN
iajs-1950	99	11	|𝐻	|𝐻	PROPN
iajs-1950	99	12	𝑝𝑟𝑜(𝑗	𝑝𝑟𝑜(𝑗	NUM
iajs-1950	99	13	)	)	PUNCT
iajs-1950	99	14	−	−	NOUN
iajs-1950	99	15	∑	∑	PUNCT
iajs-1950	99	16	𝐻	𝐻	PROPN
iajs-1950	99	17	𝑝𝑟𝑜(𝑗)/𝑘|𝑀	𝑝𝑟𝑜(𝑗)/𝑘|𝑀	PROPN
iajs-1950	99	18	𝑗=1	𝑗=1	PROPN
iajs-1950	99	19	𝑀	𝑀	PROPN
iajs-1950	99	20	𝑗=1	𝑗=1	PROPN
iajs-1950	99	21	(	(	PUNCT
iajs-1950	99	22	11	11	NUM
iajs-1950	99	23	)	)	PUNCT
iajs-1950	99	24	artificial	artificial	ADJ
iajs-1950	99	25	neural	neural	ADJ
iajs-1950	99	26	networks	network	NOUN
iajs-1950	99	27	in	in	ADP
iajs-1950	99	28	recent	recent	ADJ
iajs-1950	99	29	decades	decade	NOUN
iajs-1950	99	30	,	,	PUNCT
iajs-1950	99	31	neural	neural	ADJ
iajs-1950	99	32	computing	computing	NOUN
iajs-1950	99	33	has	have	AUX
iajs-1950	99	34	emerged	emerge	VERB
iajs-1950	99	35	as	as	ADP
iajs-1950	99	36	a	a	DET
iajs-1950	99	37	practical	practical	ADJ
iajs-1950	99	38	technology	technology	NOUN
iajs-1950	99	39	for	for	ADP
iajs-1950	99	40	the	the	DET
iajs-1950	99	41	purposes	purpose	NOUN
iajs-1950	99	42	of	of	ADP
iajs-1950	99	43	classification	classification	NOUN
iajs-1950	99	44	,	,	PUNCT
iajs-1950	99	45	function	function	NOUN
iajs-1950	99	46	approximation	approximation	NOUN
iajs-1950	99	47	,	,	PUNCT
iajs-1950	99	48	data	datum	NOUN
iajs-1950	99	49	processing	processing	NOUN
iajs-1950	99	50	,	,	PUNCT
iajs-1950	99	51	filtering	filtering	NOUN
iajs-1950	99	52	,	,	PUNCT
iajs-1950	99	53	clustering	clustering	NOUN
iajs-1950	99	54	,	,	PUNCT
iajs-1950	99	55	compression	compression	NOUN
iajs-1950	99	56	,	,	PUNCT
iajs-1950	99	57	decision	decision	NOUN
iajs-1950	99	58	making	making	NOUN
iajs-1950	99	59	,	,	PUNCT
iajs-1950	99	60	etc	etc	X
iajs-1950	99	61	.	.	X
iajs-1950	99	62	,	,	PUNCT
iajs-1950	99	63	with	with	ADP
iajs-1950	99	64	successful	successful	ADJ
iajs-1950	99	65	applications	application	NOUN
iajs-1950	99	66	in	in	ADP
iajs-1950	99	67	many	many	ADJ
iajs-1950	99	68	fields	field	NOUN
iajs-1950	99	69	as	as	ADV
iajs-1950	99	70	diverse	diverse	ADJ
iajs-1950	99	71	as	as	ADP
iajs-1950	99	72	medicine	medicine	NOUN
iajs-1950	99	73	,	,	PUNCT
iajs-1950	99	74	finance	finance	NOUN
iajs-1950	99	75	,	,	PUNCT
iajs-1950	99	76	geology	geology	NOUN
iajs-1950	99	77	,	,	PUNCT
iajs-1950	99	78	engineering	engineering	NOUN
iajs-1950	99	79	,	,	PUNCT
iajs-1950	99	80	biology	biology	NOUN
iajs-1950	99	81	and	and	CCONJ
iajs-1950	99	82	physics	physics	NOUN
iajs-1950	99	83	[	[	X
iajs-1950	99	84	9	9	NUM
iajs-1950	99	85	&	&	CCONJ
iajs-1950	99	86	11	11	NUM
iajs-1950	99	87	]	]	PUNCT
iajs-1950	99	88	.	.	PUNCT
iajs-1950	100	1	an	an	DET
iajs-1950	100	2	artificial	artificial	ADJ
iajs-1950	100	3	neural	neural	ADJ
iajs-1950	100	4	network	network	NOUN
iajs-1950	100	5	can	can	AUX
iajs-1950	100	6	be	be	AUX
iajs-1950	100	7	defined	define	VERB
iajs-1950	100	8	as	as	ADP
iajs-1950	100	9	a	a	DET
iajs-1950	100	10	set	set	NOUN
iajs-1950	100	11	of	of	ADP
iajs-1950	100	12	simple	simple	ADJ
iajs-1950	100	13	computational	computational	ADJ
iajs-1950	100	14	units	unit	NOUN
iajs-1950	100	15	that	that	PRON
iajs-1950	100	16	are	be	AUX
iajs-1950	100	17	highly	highly	ADV
iajs-1950	100	18	interconnected	interconnected	ADJ
iajs-1950	100	19	.	.	PUNCT
iajs-1950	101	1	the	the	DET
iajs-1950	101	2	units	unit	NOUN
iajs-1950	101	3	are	be	AUX
iajs-1950	101	4	loosely	loosely	ADV
iajs-1950	101	5	representing	represent	VERB
iajs-1950	101	6	the	the	DET
iajs-1950	101	7	biological	biological	ADJ
iajs-1950	101	8	neurons	neuron	NOUN
iajs-1950	101	9	and	and	CCONJ
iajs-1950	101	10	are	be	AUX
iajs-1950	101	11	also	also	ADV
iajs-1950	101	12	called	call	VERB
iajs-1950	101	13	nodes	node	NOUN
iajs-1950	101	14	.	.	PUNCT
iajs-1950	102	1	figure	figure	NOUN
iajs-1950	102	2	(	(	PUNCT
iajs-1950	102	3	2	2	X
iajs-1950	102	4	)	)	PUNCT
iajs-1950	102	5	gives	give	VERB
iajs-1950	102	6	a	a	DET
iajs-1950	102	7	depiction	depiction	NOUN
iajs-1950	102	8	for	for	ADP
iajs-1950	102	9	the	the	DET
iajs-1950	102	10	neuron	neuron	NOUN
iajs-1950	103	1	[	[	X
iajs-1950	103	2	1	1	NUM
iajs-1950	103	3	]	]	PUNCT
iajs-1950	103	4	.	.	PUNCT
iajs-1950	104	1	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	104	2	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	104	3	computer	computer	NOUN
iajs-1950	104	4	|	|	ADV
iajs-1950	104	5	214	214	NUM
iajs-1950	104	6	2018	2018	NUM
iajs-1950	104	7	(	(	PUNCT
iajs-1950	104	8	عام	عام	ADP
iajs-1950	104	9	2	2	NUM
iajs-1950	104	10	(	(	PUNCT
iajs-1950	104	11	العدد	العدد	PROPN
iajs-1950	104	12	)	)	PUNCT
iajs-1950	104	13	31لمجلد	31لمجلد	NUM
iajs-1950	104	14	)	)	PUNCT
iajs-1950	105	1	ا	ا	X
iajs-1950	106	1	مجلة	مجلة	NOUN
iajs-1950	106	2	إبن	إبن	VERB
iajs-1950	106	3	الهيثم	الهيثم	ADJ
iajs-1950	106	4	للعلوم	للعلوم	NOUN
iajs-1950	106	5	الصرفة	الصرفة	NOUN
iajs-1950	107	1	و	و	PRON
iajs-1950	107	2	التطبيقية	التطبيقية	ADJ
iajs-1950	107	3	ibn	ibn	PROPN
iajs-1950	107	4	al	al	PROPN
iajs-1950	107	5	-	-	PUNCT
iajs-1950	107	6	haitham	haitham	PROPN
iajs-1950	107	7	j.	j.	PROPN
iajs-1950	107	8	for	for	ADP
iajs-1950	107	9	pure	pure	PROPN
iajs-1950	107	10	&	&	CCONJ
iajs-1950	107	11	appl	appl	PROPN
iajs-1950	107	12	.	.	PUNCT
iajs-1950	108	1	sci	sci	PROPN
iajs-1950	108	2	.	.	PUNCT
iajs-1950	109	1	vol.31	vol.31	PROPN
iajs-1950	109	2	(	(	PUNCT
iajs-1950	109	3	2	2	NUM
iajs-1950	109	4	)	)	SYM
iajs-1950	109	5	2018	2018	NUM
iajs-1950	109	6	figure	figure	NOUN
iajs-1950	109	7	(	(	PUNCT
iajs-1950	109	8	2	2	NUM
iajs-1950	109	9	):	):	PUNCT
iajs-1950	109	10	graphical	graphical	ADJ
iajs-1950	109	11	presentation	presentation	NOUN
iajs-1950	109	12	of	of	ADP
iajs-1950	109	13	neurons	neuron	NOUN
iajs-1950	109	14	.	.	PUNCT
iajs-1950	110	1	a	a	DET
iajs-1950	110	2	neuron	neuron	NOUN
iajs-1950	110	3	can	can	AUX
iajs-1950	110	4	be	be	AUX
iajs-1950	110	5	defined	define	VERB
iajs-1950	110	6	as	as	ADP
iajs-1950	110	7	an	an	DET
iajs-1950	110	8	information	information	NOUN
iajs-1950	110	9	processing	processing	NOUN
iajs-1950	110	10	unit	unit	NOUN
iajs-1950	110	11	that	that	PRON
iajs-1950	110	12	is	be	AUX
iajs-1950	110	13	fundamental	fundamental	ADJ
iajs-1950	110	14	to	to	ADP
iajs-1950	110	15	the	the	DET
iajs-1950	110	16	operation	operation	NOUN
iajs-1950	110	17	of	of	ADP
iajs-1950	110	18	a	a	DET
iajs-1950	110	19	neural	neural	ADJ
iajs-1950	110	20	network	network	NOUN
iajs-1950	110	21	.	.	PUNCT
iajs-1950	111	1	the	the	DET
iajs-1950	111	2	connections	connection	NOUN
iajs-1950	111	3	between	between	ADP
iajs-1950	111	4	nodes	node	NOUN
iajs-1950	111	5	are	be	AUX
iajs-1950	111	6	unidirectional	unidirectional	ADJ
iajs-1950	111	7	.	.	PUNCT
iajs-1950	112	1	such	such	ADJ
iajs-1950	112	2	connection	connection	NOUN
iajs-1950	112	3	system	system	NOUN
iajs-1950	112	4	resembles	resemble	VERB
iajs-1950	112	5	those	those	DET
iajs-1950	112	6	“	"	PUNCT
iajs-1950	112	7	synaptic	synaptic	ADJ
iajs-1950	112	8	connections	connection	NOUN
iajs-1950	112	9	”	"	PUNCT
iajs-1950	112	10	of	of	ADP
iajs-1950	112	11	a	a	DET
iajs-1950	112	12	brain	brain	NOUN
iajs-1950	112	13	.	.	PUNCT
iajs-1950	113	1	for	for	ADP
iajs-1950	113	2	each	each	DET
iajs-1950	113	3	individual	individual	ADJ
iajs-1950	113	4	connection	connection	NOUN
iajs-1950	113	5	there	there	PRON
iajs-1950	113	6	is	be	VERB
iajs-1950	113	7	a	a	DET
iajs-1950	113	8	weight	weight	NOUN
iajs-1950	113	9	,	,	PUNCT
iajs-1950	113	10	(	(	PUNCT
iajs-1950	113	11	𝑤𝑘𝑗	𝑤𝑘𝑗	NOUN
iajs-1950	113	12	)	)	PUNCT
iajs-1950	113	13	,	,	PUNCT
iajs-1950	113	14	called	call	VERB
iajs-1950	113	15	“	"	PUNCT
iajs-1950	113	16	synaptic	synaptic	ADJ
iajs-1950	113	17	weight	weight	NOUN
iajs-1950	113	18	”	"	PUNCT
iajs-1950	113	19	and	and	CCONJ
iajs-1950	113	20	stands	stand	VERB
iajs-1950	113	21	for	for	ADP
iajs-1950	113	22	how	how	SCONJ
iajs-1950	113	23	the	the	DET
iajs-1950	113	24	connection	connection	NOUN
iajs-1950	113	25	is	be	AUX
iajs-1950	113	26	strong	strong	ADJ
iajs-1950	113	27	between	between	ADP
iajs-1950	113	28	units	unit	NOUN
iajs-1950	113	29	j	j	PROPN
iajs-1950	113	30	and	and	CCONJ
iajs-1950	113	31	k.	k.	PROPN
iajs-1950	113	32	this	this	DET
iajs-1950	113	33	weight	weight	NOUN
iajs-1950	113	34	may	may	AUX
iajs-1950	113	35	take	take	VERB
iajs-1950	113	36	positive	positive	ADJ
iajs-1950	113	37	or	or	CCONJ
iajs-1950	113	38	negative	negative	ADJ
iajs-1950	113	39	value	value	NOUN
iajs-1950	113	40	which	which	PRON
iajs-1950	113	41	makes	make	VERB
iajs-1950	113	42	it	it	PRON
iajs-1950	113	43	dissimilar	dissimilar	ADJ
iajs-1950	113	44	to	to	ADP
iajs-1950	113	45	brain	brain	VERB
iajs-1950	113	46	’s	’s	PART
iajs-1950	113	47	synapse	synapse	NOUN
iajs-1950	113	48	.	.	PUNCT
iajs-1950	114	1	for	for	ADP
iajs-1950	114	2	a	a	DET
iajs-1950	114	3	given	give	VERB
iajs-1950	114	4	node	node	NOUN
iajs-1950	114	5	(	(	PUNCT
iajs-1950	114	6	neuron	neuron	PROPN
iajs-1950	114	7	)	)	PUNCT
iajs-1950	114	8	,	,	PUNCT
iajs-1950	114	9	the	the	DET
iajs-1950	114	10	outputs	output	NOUN
iajs-1950	114	11	of	of	ADP
iajs-1950	114	12	the	the	DET
iajs-1950	114	13	nodes	node	NOUN
iajs-1950	114	14	connected	connect	VERB
iajs-1950	114	15	to	to	ADP
iajs-1950	114	16	it	it	PRON
iajs-1950	114	17	are	be	AUX
iajs-1950	114	18	summed	sum	VERB
iajs-1950	114	19	,	,	PUNCT
iajs-1950	114	20	after	after	ADP
iajs-1950	114	21	being	be	AUX
iajs-1950	114	22	multiplied	multiply	VERB
iajs-1950	114	23	by	by	ADP
iajs-1950	114	24	specified	specify	VERB
iajs-1950	114	25	weights	weight	NOUN
iajs-1950	114	26	,	,	PUNCT
iajs-1950	114	27	to	to	PART
iajs-1950	114	28	form	form	VERB
iajs-1950	114	29	its	its	PRON
iajs-1950	114	30	input	input	NOUN
iajs-1950	114	31	.	.	PUNCT
iajs-1950	115	1	then	then	ADV
iajs-1950	115	2	,	,	PUNCT
iajs-1950	115	3	this	this	DET
iajs-1950	115	4	input	input	NOUN
iajs-1950	115	5	will	will	AUX
iajs-1950	115	6	be	be	AUX
iajs-1950	115	7	modified	modify	VERB
iajs-1950	115	8	by	by	ADP
iajs-1950	115	9	what	what	PRON
iajs-1950	115	10	is	be	AUX
iajs-1950	115	11	known	know	VERB
iajs-1950	115	12	as	as	ADP
iajs-1950	115	13	the	the	DET
iajs-1950	115	14	“	"	PUNCT
iajs-1950	115	15	activation	activation	NOUN
iajs-1950	115	16	function	function	NOUN
iajs-1950	115	17	”	"	PUNCT
iajs-1950	115	18	of	of	ADP
iajs-1950	115	19	the	the	DET
iajs-1950	115	20	node	node	NOUN
iajs-1950	115	21	.	.	PUNCT
iajs-1950	116	1	the	the	DET
iajs-1950	116	2	“	"	PUNCT
iajs-1950	116	3	activation	activation	NOUN
iajs-1950	116	4	function	function	NOUN
iajs-1950	116	5	”	"	PUNCT
iajs-1950	116	6	is	be	AUX
iajs-1950	116	7	also	also	ADV
iajs-1950	116	8	known	know	VERB
iajs-1950	116	9	as	as	ADP
iajs-1950	116	10	“	"	PUNCT
iajs-1950	116	11	squashing	squash	VERB
iajs-1950	116	12	function	function	NOUN
iajs-1950	116	13	”	"	PUNCT
iajs-1950	116	14	.	.	PUNCT
iajs-1950	117	1	in	in	ADP
iajs-1950	117	2	reality	reality	NOUN
iajs-1950	117	3	this	this	DET
iajs-1950	117	4	function	function	NOUN
iajs-1950	117	5	modifies	modify	VERB
iajs-1950	117	6	the	the	DET
iajs-1950	117	7	input	input	NOUN
iajs-1950	117	8	value	value	NOUN
iajs-1950	117	9	within	within	ADP
iajs-1950	117	10	limits	limit	NOUN
iajs-1950	117	11	.	.	PUNCT
iajs-1950	118	1	the	the	DET
iajs-1950	118	2	model	model	NOUN
iajs-1950	118	3	of	of	ADP
iajs-1950	118	4	such	such	DET
iajs-1950	118	5	a	a	DET
iajs-1950	118	6	node	node	NOUN
iajs-1950	118	7	(	(	PUNCT
iajs-1950	118	8	neuron	neuron	PROPN
iajs-1950	118	9	)	)	PUNCT
iajs-1950	118	10	,	,	PUNCT
iajs-1950	118	11	which	which	PRON
iajs-1950	118	12	is	be	AUX
iajs-1950	118	13	shown	show	VERB
iajs-1950	118	14	in	in	ADP
iajs-1950	118	15	figure	figure	NOUN
iajs-1950	118	16	(	(	PUNCT
iajs-1950	118	17	2	2	NUM
iajs-1950	118	18	)	)	PUNCT
iajs-1950	118	19	,	,	PUNCT
iajs-1950	118	20	contains	contain	VERB
iajs-1950	118	21	a	a	DET
iajs-1950	118	22	“	"	PUNCT
iajs-1950	118	23	bias	bias	NOUN
iajs-1950	118	24	”	"	PUNCT
iajs-1950	118	25	,	,	PUNCT
iajs-1950	118	26	symbolled	symbol	VERB
iajs-1950	118	27	by	by	ADP
iajs-1950	118	28	bk	bk	NOUN
iajs-1950	118	29	,	,	PUNCT
iajs-1950	118	30	that	that	PRON
iajs-1950	118	31	can	can	AUX
iajs-1950	118	32	lower	lower	VERB
iajs-1950	118	33	(	(	PUNCT
iajs-1950	118	34	if	if	SCONJ
iajs-1950	118	35	it	it	PRON
iajs-1950	118	36	is	be	AUX
iajs-1950	118	37	positive	positive	ADJ
iajs-1950	118	38	)	)	PUNCT
iajs-1950	118	39	or	or	CCONJ
iajs-1950	118	40	increase	increase	VERB
iajs-1950	118	41	(	(	PUNCT
iajs-1950	118	42	if	if	SCONJ
iajs-1950	118	43	it	it	PRON
iajs-1950	118	44	is	be	AUX
iajs-1950	118	45	negative	negative	ADJ
iajs-1950	118	46	)	)	PUNCT
iajs-1950	118	47	the	the	DET
iajs-1950	118	48	net	net	ADJ
iajs-1950	118	49	input	input	NOUN
iajs-1950	118	50	of	of	ADP
iajs-1950	118	51	the	the	DET
iajs-1950	118	52	“	"	PUNCT
iajs-1950	118	53	activation	activation	NOUN
iajs-1950	118	54	function	function	NOUN
iajs-1950	118	55	”	"	PUNCT
iajs-1950	119	1	[	[	X
iajs-1950	119	2	1	1	NUM
iajs-1950	119	3	]	]	PUNCT
iajs-1950	119	4	.	.	PUNCT
iajs-1950	120	1	in	in	ADP
iajs-1950	120	2	mathematical	mathematical	ADJ
iajs-1950	120	3	terms	term	NOUN
iajs-1950	120	4	,	,	PUNCT
iajs-1950	120	5	a	a	DET
iajs-1950	120	6	neuron	neuron	NOUN
iajs-1950	120	7	k	k	PROPN
iajs-1950	120	8	may	may	AUX
iajs-1950	120	9	be	be	AUX
iajs-1950	120	10	described	describe	VERB
iajs-1950	120	11	by	by	ADP
iajs-1950	120	12	the	the	DET
iajs-1950	120	13	following	follow	VERB
iajs-1950	120	14	equation	equation	NOUN
iajs-1950	120	15	[	[	X
iajs-1950	120	16	1	1	NUM
iajs-1950	120	17	]	]	PUNCT
iajs-1950	120	18	:	:	PUNCT
iajs-1950	120	19	𝑦𝑘	𝑦𝑘	ADP
iajs-1950	120	20	=	=	PUNCT
iajs-1950	120	21	𝜑(𝑣𝑘	𝜑(𝑣𝑘	PROPN
iajs-1950	120	22	)	)	PUNCT
iajs-1950	120	23	=	=	SYM
iajs-1950	120	24	𝜑(∑	𝜑(∑	ADJ
iajs-1950	120	25	𝑤𝑘𝑗𝑥𝑗	𝑤𝑘𝑗𝑥𝑗	NOUN
iajs-1950	120	26	+	+	CCONJ
iajs-1950	120	27	𝑏𝑘	𝑏𝑘	NUM
iajs-1950	120	28	)	)	PUNCT
iajs-1950	121	1	𝑛	𝑛	DET
iajs-1950	121	2	𝑗=1	𝑗=1	PROPN
iajs-1950	121	3	(	(	PUNCT
iajs-1950	121	4	12	12	NUM
iajs-1950	121	5	)	)	PUNCT
iajs-1950	121	6	where	where	SCONJ
iajs-1950	121	7	;	;	PUNCT
iajs-1950	121	8	x1	x1	PROPN
iajs-1950	121	9	to	to	ADP
iajs-1950	121	10	xn	xn	PROPN
iajs-1950	121	11	represents	represent	VERB
iajs-1950	121	12	the	the	DET
iajs-1950	121	13	“	"	PUNCT
iajs-1950	121	14	patterns	pattern	NOUN
iajs-1950	121	15	”	"	PUNCT
iajs-1950	121	16	of	of	ADP
iajs-1950	121	17	the	the	DET
iajs-1950	121	18	input	input	NOUN
iajs-1950	121	19	.	.	PUNCT
iajs-1950	122	1	wk1	wk1	NOUN
iajs-1950	122	2	to	to	ADP
iajs-1950	122	3	wkn	wkn	NOUN
iajs-1950	122	4	represents	represent	VERB
iajs-1950	122	5	the	the	DET
iajs-1950	122	6	“	"	PUNCT
iajs-1950	122	7	synaptic	synaptic	ADJ
iajs-1950	122	8	weights	weight	NOUN
iajs-1950	122	9	”	"	PUNCT
iajs-1950	122	10	for	for	ADP
iajs-1950	122	11	node	node	NOUN
iajs-1950	122	12	(	(	PUNCT
iajs-1950	122	13	neuron	neuron	PROPN
iajs-1950	122	14	)	)	PUNCT
iajs-1950	122	15	k.	k.	PROPN
iajs-1950	123	1	𝑏𝑘	𝑏𝑘	PROPN
iajs-1950	123	2	stands	stand	VERB
iajs-1950	123	3	for	for	ADP
iajs-1950	123	4	the	the	DET
iajs-1950	123	5	“	"	PUNCT
iajs-1950	123	6	bias	bias	NOUN
iajs-1950	123	7	”	"	PUNCT
iajs-1950	123	8	.	.	PUNCT
iajs-1950	124	1	𝜑(⋅	𝜑(⋅	CCONJ
iajs-1950	125	1	)	)	PUNCT
iajs-1950	125	2	represents	represent	VERB
iajs-1950	125	3	the	the	DET
iajs-1950	125	4	“	"	PUNCT
iajs-1950	125	5	activation	activation	NOUN
iajs-1950	125	6	function	function	NOUN
iajs-1950	125	7	”	"	PUNCT
iajs-1950	125	8	.	.	PUNCT
iajs-1950	126	1	𝑦𝑘	𝑦𝑘	NOUN
iajs-1950	126	2	represents	represent	VERB
iajs-1950	126	3	the	the	DET
iajs-1950	126	4	neuron	neuron	PROPN
iajs-1950	126	5	output	output	NOUN
iajs-1950	126	6	.	.	PUNCT
iajs-1950	127	1	and	and	CCONJ
iajs-1950	127	2	the	the	DET
iajs-1950	127	3	rbf	rbf	PROPN
iajs-1950	127	4	neural	neural	ADJ
iajs-1950	127	5	network	network	NOUN
iajs-1950	127	6	formula	formula	NOUN
iajs-1950	127	7	is	be	AUX
iajs-1950	127	8	[	[	X
iajs-1950	127	9	15	15	NUM
iajs-1950	127	10	]	]	X
iajs-1950	127	11	:	:	PUNCT
iajs-1950	127	12	𝑦	𝑦	X
iajs-1950	127	13	=	=	PUNCT
iajs-1950	127	14	∑	∑	PUNCT
iajs-1950	127	15	𝑤𝑖𝑗𝜑(𝑥𝑘	𝑤𝑖𝑗𝜑(𝑥𝑘	ADJ
iajs-1950	127	16	,	,	PUNCT
iajs-1950	127	17	𝑥𝑖	𝑥𝑖	PROPN
iajs-1950	127	18	)	)	PUNCT
iajs-1950	127	19	(	(	PUNCT
iajs-1950	127	20	13	13	X
iajs-1950	127	21	)	)	PUNCT
iajs-1950	128	1	𝑁	𝑁	PROPN
iajs-1950	128	2	𝑖=1	𝑖=1	PROPN
iajs-1950	128	3	when	when	SCONJ
iajs-1950	128	4	the	the	DET
iajs-1950	128	5	activation	activation	NOUN
iajs-1950	128	6	function	function	NOUN
iajs-1950	128	7	is	be	AUX
iajs-1950	128	8	gaussian	gaussian	ADJ
iajs-1950	128	9	function	function	NOUN
iajs-1950	128	10	:	:	PUNCT
iajs-1950	128	11	𝜑	𝜑	PROPN
iajs-1950	128	12	(	(	PUNCT
iajs-1950	128	13	𝑥𝑘	𝑥𝑘	PROPN
iajs-1950	128	14	,	,	PUNCT
iajs-1950	128	15	𝑥𝑖	𝑥𝑖	PROPN
iajs-1950	128	16	)	)	PUNCT
iajs-1950	128	17	=	=	NOUN
iajs-1950	128	18	exp	exp	NOUN
iajs-1950	128	19	(	(	PUNCT
iajs-1950	128	20	−	−	PROPN
iajs-1950	128	21	1	1	NUM
iajs-1950	128	22	2𝜎𝑖	2𝜎𝑖	NOUN
iajs-1950	128	23	2	2	NUM
iajs-1950	128	24	∑	∑	PUNCT
iajs-1950	128	25	(	(	PUNCT
iajs-1950	128	26	𝑥𝑘𝑚−𝑥𝑖𝑚)^2	𝑥𝑘𝑚−𝑥𝑖𝑚)^2	PROPN
iajs-1950	128	27	𝑀	𝑀	PROPN
iajs-1950	128	28	𝑚=1	𝑚=1	PROPN
iajs-1950	128	29	)	)	PUNCT
iajs-1950	128	30	(	(	PUNCT
iajs-1950	128	31	14	14	NUM
iajs-1950	128	32	)	)	PUNCT
iajs-1950	128	33	the	the	DET
iajs-1950	128	34	types	type	NOUN
iajs-1950	128	35	used	use	VERB
iajs-1950	128	36	in	in	ADP
iajs-1950	128	37	this	this	DET
iajs-1950	128	38	work	work	NOUN
iajs-1950	128	39	,	,	PUNCT
iajs-1950	128	40	as	as	SCONJ
iajs-1950	128	41	indicated	indicate	VERB
iajs-1950	128	42	and	and	CCONJ
iajs-1950	128	43	justified	justify	VERB
iajs-1950	128	44	in	in	ADP
iajs-1950	128	45	the	the	DET
iajs-1950	128	46	introduction	introduction	NOUN
iajs-1950	128	47	,	,	PUNCT
iajs-1950	128	48	are	be	AUX
iajs-1950	128	49	the	the	DET
iajs-1950	128	50	mlp	mlp	NOUN
iajs-1950	128	51	and	and	CCONJ
iajs-1950	128	52	the	the	DET
iajs-1950	128	53	rbf	rbf	PROPN
iajs-1950	128	54	.	.	PUNCT
iajs-1950	129	1	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	129	2	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	129	3	computer	computer	NOUN
iajs-1950	129	4	|	|	ADV
iajs-1950	129	5	215	215	NUM
iajs-1950	129	6	2018	2018	NUM
iajs-1950	129	7	(	(	PUNCT
iajs-1950	129	8	عام	عام	ADP
iajs-1950	129	9	2	2	NUM
iajs-1950	129	10	(	(	PUNCT
iajs-1950	129	11	العدد	العدد	PROPN
iajs-1950	129	12	)	)	PUNCT
iajs-1950	129	13	31لمجلد	31لمجلد	NUM
iajs-1950	129	14	)	)	PUNCT
iajs-1950	130	1	ا	ا	X
iajs-1950	131	1	مجلة	مجلة	NOUN
iajs-1950	131	2	إبن	إبن	VERB
iajs-1950	131	3	الهيثم	الهيثم	ADJ
iajs-1950	131	4	للعلوم	للعلوم	NOUN
iajs-1950	131	5	الصرفة	الصرفة	NOUN
iajs-1950	132	1	و	و	PRON
iajs-1950	132	2	التطبيقية	التطبيقية	ADJ
iajs-1950	132	3	ibn	ibn	PROPN
iajs-1950	132	4	al	al	PROPN
iajs-1950	132	5	-	-	PUNCT
iajs-1950	132	6	haitham	haitham	PROPN
iajs-1950	132	7	j.	j.	PROPN
iajs-1950	132	8	for	for	ADP
iajs-1950	132	9	pure	pure	PROPN
iajs-1950	132	10	&	&	CCONJ
iajs-1950	132	11	appl	appl	PROPN
iajs-1950	132	12	.	.	PUNCT
iajs-1950	133	1	sci	sci	PROPN
iajs-1950	133	2	.	.	PUNCT
iajs-1950	134	1	vol.31	vol.31	PROPN
iajs-1950	134	2	(	(	PUNCT
iajs-1950	134	3	2	2	NUM
iajs-1950	134	4	)	)	PUNCT
iajs-1950	134	5	2018	2018	NUM
iajs-1950	134	6	experimental	experimental	ADJ
iajs-1950	134	7	results	result	NOUN
iajs-1950	134	8	datasets	dataset	NOUN
iajs-1950	134	9	from	from	ADP
iajs-1950	134	10	weizmann	weizmann	PROPN
iajs-1950	134	11	database	database	NOUN
iajs-1950	134	12	walk	walk	NOUN
iajs-1950	134	13	action	action	NOUN
iajs-1950	134	14	(	(	PUNCT
iajs-1950	134	15	low	low	ADJ
iajs-1950	134	16	-	-	PUNCT
iajs-1950	134	17	resolution	resolution	NOUN
iajs-1950	134	18	(	(	PUNCT
iajs-1950	134	19	180x144	180x144	NUM
iajs-1950	134	20	)	)	PUNCT
iajs-1950	134	21	video	video	NOUN
iajs-1950	134	22	clips	clip	NOUN
iajs-1950	134	23	with	with	ADP
iajs-1950	134	24	9	9	NUM
iajs-1950	134	25	different	different	ADJ
iajs-1950	134	26	subjects/10	subjects/10	ADJ
iajs-1950	134	27	videos	video	NOUN
iajs-1950	134	28	)	)	PUNCT
iajs-1950	134	29	running	run	VERB
iajs-1950	134	30	at	at	ADP
iajs-1950	134	31	25	25	NUM
iajs-1950	134	32	frames	frame	NOUN
iajs-1950	134	33	per	per	ADP
iajs-1950	134	34	second	second	ADJ
iajs-1950	134	35	have	have	AUX
iajs-1950	134	36	been	be	AUX
iajs-1950	134	37	used	use	VERB
iajs-1950	134	38	in	in	ADP
iajs-1950	134	39	the	the	DET
iajs-1950	134	40	experimentations	experimentation	NOUN
iajs-1950	134	41	in	in	ADP
iajs-1950	134	42	this	this	DET
iajs-1950	134	43	paper	paper	NOUN
iajs-1950	134	44	.	.	PUNCT
iajs-1950	135	1	the	the	DET
iajs-1950	135	2	work	work	NOUN
iajs-1950	135	3	included	include	VERB
iajs-1950	135	4	three	three	NUM
iajs-1950	135	5	main	main	ADJ
iajs-1950	135	6	steps	step	NOUN
iajs-1950	135	7	:	:	PUNCT
iajs-1950	135	8	step1	step1	NOUN
iajs-1950	135	9	:	:	PUNCT
iajs-1950	135	10	extract	extract	VERB
iajs-1950	135	11	the	the	DET
iajs-1950	135	12	objects	object	NOUN
iajs-1950	135	13	of	of	ADP
iajs-1950	135	14	interest	interest	NOUN
iajs-1950	135	15	from	from	ADP
iajs-1950	135	16	an	an	DET
iajs-1950	135	17	image	image	NOUN
iajs-1950	135	18	by	by	ADP
iajs-1950	135	19	using	use	VERB
iajs-1950	135	20	background	background	NOUN
iajs-1950	135	21	subtraction	subtraction	NOUN
iajs-1950	135	22	equation	equation	NOUN
iajs-1950	135	23	.	.	PUNCT
iajs-1950	136	1	the	the	DET
iajs-1950	136	2	threshold	threshold	NOUN
iajs-1950	136	3	value	value	NOUN
iajs-1950	136	4	used	use	VERB
iajs-1950	136	5	in	in	ADP
iajs-1950	136	6	this	this	DET
iajs-1950	136	7	work	work	NOUN
iajs-1950	136	8	equal	equal	ADJ
iajs-1950	136	9	to	to	ADP
iajs-1950	136	10	30	30	NUM
iajs-1950	136	11	and	and	CCONJ
iajs-1950	136	12	some	some	PRON
iajs-1950	136	13	of	of	ADP
iajs-1950	136	14	result	result	NOUN
iajs-1950	136	15	obtained	obtain	VERB
iajs-1950	136	16	from	from	ADP
iajs-1950	136	17	this	this	DET
iajs-1950	136	18	stage	stage	NOUN
iajs-1950	136	19	can	can	AUX
iajs-1950	136	20	be	be	AUX
iajs-1950	136	21	showed	show	VERB
iajs-1950	136	22	in	in	ADP
iajs-1950	136	23	figure	figure	NOUN
iajs-1950	136	24	(	(	PUNCT
iajs-1950	136	25	3	3	NUM
iajs-1950	136	26	)	)	PUNCT
iajs-1950	136	27	.	.	PUNCT
iajs-1950	137	1	this	this	DET
iajs-1950	137	2	stage	stage	NOUN
iajs-1950	137	3	succeeded	succeed	VERB
iajs-1950	137	4	in	in	ADP
iajs-1950	137	5	detect	detect	NOUN
iajs-1950	137	6	the	the	DET
iajs-1950	137	7	object	object	NOUN
iajs-1950	137	8	in	in	ADP
iajs-1950	137	9	10	10	NUM
iajs-1950	137	10	video	video	NOUN
iajs-1950	137	11	out	out	ADP
iajs-1950	137	12	of	of	ADP
iajs-1950	137	13	10	10	NUM
iajs-1950	137	14	,	,	PUNCT
iajs-1950	137	15	this	this	PRON
iajs-1950	137	16	mean	mean	VERB
iajs-1950	137	17	the	the	DET
iajs-1950	137	18	ratio	ratio	NOUN
iajs-1950	137	19	of	of	ADP
iajs-1950	137	20	succeed	succeed	NOUN
iajs-1950	137	21	in	in	ADP
iajs-1950	137	22	this	this	DET
iajs-1950	137	23	stage	stage	NOUN
iajs-1950	137	24	is	be	AUX
iajs-1950	137	25	100	100	NUM
iajs-1950	137	26	%	%	NOUN
iajs-1950	137	27	.	.	PUNCT
iajs-1950	138	1	step2	step2	PROPN
iajs-1950	138	2	:	:	PUNCT
iajs-1950	138	3	extract	extract	VERB
iajs-1950	138	4	some	some	DET
iajs-1950	138	5	features	feature	NOUN
iajs-1950	138	6	that	that	PRON
iajs-1950	138	7	represent	represent	VERB
iajs-1950	138	8	the	the	DET
iajs-1950	138	9	object	object	NOUN
iajs-1950	138	10	shape	shape	NOUN
iajs-1950	138	11	by	by	ADP
iajs-1950	138	12	using	use	VERB
iajs-1950	138	13	shape	shape	NOUN
iajs-1950	138	14	based	base	VERB
iajs-1950	138	15	method	method	NOUN
iajs-1950	138	16	.	.	PUNCT
iajs-1950	139	1	in	in	ADP
iajs-1950	139	2	this	this	DET
iajs-1950	139	3	work	work	NOUN
iajs-1950	139	4	,	,	PUNCT
iajs-1950	139	5	7	7	NUM
iajs-1950	139	6	parameters	parameter	NOUN
iajs-1950	139	7	(	(	PUNCT
iajs-1950	139	8	p1	p1	NOUN
iajs-1950	139	9	to	to	PART
iajs-1950	139	10	p7	p7	VERB
iajs-1950	139	11	)	)	PUNCT
iajs-1950	139	12	are	be	AUX
iajs-1950	139	13	extracted	extract	VERB
iajs-1950	139	14	which	which	PRON
iajs-1950	139	15	represent	represent	VERB
iajs-1950	139	16	the	the	DET
iajs-1950	139	17	object	object	NOUN
iajs-1950	139	18	shape	shape	NOUN
iajs-1950	139	19	and	and	CCONJ
iajs-1950	139	20	then	then	ADV
iajs-1950	139	21	used	use	VERB
iajs-1950	139	22	as	as	ADP
iajs-1950	139	23	input	input	NOUN
iajs-1950	139	24	to	to	ADP
iajs-1950	139	25	the	the	DET
iajs-1950	139	26	classifier	classifier	NOUN
iajs-1950	139	27	which	which	PRON
iajs-1950	139	28	is	be	AUX
iajs-1950	139	29	a	a	DET
iajs-1950	139	30	feedforward	feedforward	ADJ
iajs-1950	139	31	neural	neural	ADJ
iajs-1950	139	32	network	network	NOUN
iajs-1950	139	33	.	.	PUNCT
iajs-1950	140	1	step3	step3	PROPN
iajs-1950	140	2	:	:	PUNCT
iajs-1950	140	3	using	use	VERB
iajs-1950	140	4	two	two	NUM
iajs-1950	140	5	types	type	NOUN
iajs-1950	140	6	of	of	ADP
iajs-1950	140	7	artificial	artificial	ADJ
iajs-1950	140	8	neural	neural	ADJ
iajs-1950	140	9	networks	network	NOUN
iajs-1950	140	10	(	(	PUNCT
iajs-1950	140	11	mlp	mlp	NOUN
iajs-1950	140	12	and	and	CCONJ
iajs-1950	140	13	rbf	rbf	PROPN
iajs-1950	140	14	)	)	PUNCT
iajs-1950	140	15	to	to	PART
iajs-1950	140	16	classify	classify	VERB
iajs-1950	140	17	the	the	DET
iajs-1950	140	18	extracted	extract	VERB
iajs-1950	140	19	objects	object	NOUN
iajs-1950	140	20	into	into	ADP
iajs-1950	140	21	human	human	ADJ
iajs-1950	140	22	or	or	CCONJ
iajs-1950	140	23	non	non	ADJ
iajs-1950	140	24	-	-	ADJ
iajs-1950	140	25	human	human	ADJ
iajs-1950	140	26	.	.	PUNCT
iajs-1950	141	1	the	the	DET
iajs-1950	141	2	neural	neural	ADJ
iajs-1950	141	3	networks	network	NOUN
iajs-1950	141	4	model	model	NOUN
iajs-1950	141	5	implemented	implement	VERB
iajs-1950	141	6	by	by	ADP
iajs-1950	141	7	using	use	VERB
iajs-1950	141	8	neural	neural	ADJ
iajs-1950	141	9	networks	network	NOUN
iajs-1950	141	10	toolbox	toolbox	NOUN
iajs-1950	141	11	function	function	NOUN
iajs-1950	141	12	in	in	ADP
iajs-1950	141	13	mat	mat	NOUN
iajs-1950	141	14	-	-	PUNCT
iajs-1950	141	15	lab	lab	NOUN
iajs-1950	141	16	which	which	PRON
iajs-1950	141	17	is	be	AUX
iajs-1950	141	18	(	(	PUNCT
iajs-1950	141	19	newff	newff	NOUN
iajs-1950	141	20	)	)	PUNCT
iajs-1950	141	21	for	for	ADP
iajs-1950	141	22	multilayer	multilayer	ADJ
iajs-1950	141	23	perceptron	perceptron	PROPN
iajs-1950	141	24	and	and	CCONJ
iajs-1950	141	25	(	(	PUNCT
iajs-1950	141	26	newrb	newrb	NOUN
iajs-1950	141	27	)	)	PUNCT
iajs-1950	141	28	for	for	ADP
iajs-1950	141	29	radial	radial	ADJ
iajs-1950	141	30	basis	basis	NOUN
iajs-1950	141	31	function	function	NOUN
iajs-1950	141	32	,	,	PUNCT
iajs-1950	141	33	these	these	DET
iajs-1950	141	34	tools	tool	NOUN
iajs-1950	141	35	has	have	VERB
iajs-1950	141	36	the	the	DET
iajs-1950	141	37	ability	ability	NOUN
iajs-1950	141	38	to	to	PART
iajs-1950	141	39	generate	generate	VERB
iajs-1950	141	40	initial	initial	ADJ
iajs-1950	141	41	weights	weight	NOUN
iajs-1950	141	42	and	and	CCONJ
iajs-1950	141	43	biases	bias	NOUN
iajs-1950	141	44	for	for	ADP
iajs-1950	141	45	the	the	DET
iajs-1950	141	46	network	network	NOUN
iajs-1950	141	47	and	and	CCONJ
iajs-1950	141	48	save	save	VERB
iajs-1950	141	49	the	the	DET
iajs-1950	141	50	values	value	NOUN
iajs-1950	141	51	of	of	ADP
iajs-1950	141	52	weights	weight	NOUN
iajs-1950	141	53	,	,	PUNCT
iajs-1950	141	54	biases	bias	NOUN
iajs-1950	141	55	from	from	ADP
iajs-1950	141	56	training	training	NOUN
iajs-1950	141	57	to	to	PART
iajs-1950	141	58	used	use	VERB
iajs-1950	141	59	it	it	PRON
iajs-1950	141	60	in	in	ADP
iajs-1950	141	61	testing	testing	NOUN
iajs-1950	141	62	.	.	PUNCT
iajs-1950	142	1	mlp	mlp	NOUN
iajs-1950	142	2	in	in	ADP
iajs-1950	142	3	this	this	DET
iajs-1950	142	4	work	work	NOUN
iajs-1950	142	5	consists	consist	VERB
iajs-1950	142	6	of	of	ADP
iajs-1950	142	7	2	2	NUM
iajs-1950	142	8	hidden	hidden	ADJ
iajs-1950	142	9	layers	layer	NOUN
iajs-1950	142	10	.	.	PUNCT
iajs-1950	143	1	a	a	DET
iajs-1950	143	2	sigmoid	sigmoid	NOUN
iajs-1950	143	3	transfer	transfer	NOUN
iajs-1950	143	4	function	function	NOUN
iajs-1950	143	5	is	be	AUX
iajs-1950	143	6	used	use	VERB
iajs-1950	143	7	in	in	ADP
iajs-1950	143	8	the	the	DET
iajs-1950	143	9	two	two	NUM
iajs-1950	143	10	hidden	hidden	ADJ
iajs-1950	143	11	layers	layer	NOUN
iajs-1950	143	12	in	in	ADP
iajs-1950	143	13	order	order	NOUN
iajs-1950	143	14	to	to	PART
iajs-1950	143	15	get	get	VERB
iajs-1950	143	16	a	a	DET
iajs-1950	143	17	true	true	ADJ
iajs-1950	143	18	or	or	CCONJ
iajs-1950	143	19	false	false	ADJ
iajs-1950	143	20	output	output	NOUN
iajs-1950	143	21	.	.	PUNCT
iajs-1950	144	1	the	the	DET
iajs-1950	144	2	model	model	NOUN
iajs-1950	144	3	used	use	VERB
iajs-1950	144	4	here	here	ADV
iajs-1950	144	5	is	be	AUX
iajs-1950	144	6	shown	show	VERB
iajs-1950	144	7	in	in	ADP
iajs-1950	144	8	figure	figure	NOUN
iajs-1950	144	9	(	(	PUNCT
iajs-1950	144	10	4	4	NUM
iajs-1950	144	11	)	)	PUNCT
iajs-1950	144	12	.	.	PUNCT
iajs-1950	145	1	rbf	rbf	PROPN
iajs-1950	145	2	has	have	VERB
iajs-1950	145	3	a	a	DET
iajs-1950	145	4	standard	standard	ADJ
iajs-1950	145	5	structure	structure	NOUN
iajs-1950	145	6	which	which	PRON
iajs-1950	145	7	consists	consist	VERB
iajs-1950	145	8	of	of	ADP
iajs-1950	145	9	one	one	NUM
iajs-1950	145	10	hidden	hide	VERB
iajs-1950	145	11	layer	layer	NOUN
iajs-1950	145	12	with	with	ADP
iajs-1950	145	13	gaussian	gaussian	ADJ
iajs-1950	145	14	activation	activation	NOUN
iajs-1950	145	15	function	function	NOUN
iajs-1950	145	16	and	and	CCONJ
iajs-1950	145	17	one	one	NUM
iajs-1950	145	18	output	output	NOUN
iajs-1950	145	19	layer	layer	NOUN
iajs-1950	145	20	with	with	ADP
iajs-1950	145	21	linear	linear	ADJ
iajs-1950	145	22	activation	activation	NOUN
iajs-1950	145	23	function	function	NOUN
iajs-1950	145	24	.	.	PUNCT
iajs-1950	146	1	some	some	PRON
iajs-1950	146	2	of	of	ADP
iajs-1950	146	3	the	the	DET
iajs-1950	146	4	parameters	parameter	NOUN
iajs-1950	146	5	being	be	AUX
iajs-1950	146	6	set	set	VERB
iajs-1950	146	7	up	up	ADP
iajs-1950	146	8	in	in	ADP
iajs-1950	146	9	the	the	DET
iajs-1950	146	10	rbf	rbf	PROPN
iajs-1950	146	11	network	network	NOUN
iajs-1950	146	12	to	to	PART
iajs-1950	146	13	get	get	VERB
iajs-1950	146	14	good	good	ADJ
iajs-1950	146	15	performance	performance	NOUN
iajs-1950	146	16	are	be	AUX
iajs-1950	146	17	the	the	DET
iajs-1950	146	18	spread	spread	NOUN
iajs-1950	146	19	and	and	CCONJ
iajs-1950	146	20	the	the	DET
iajs-1950	146	21	maximum	maximum	ADJ
iajs-1950	146	22	number	number	NOUN
iajs-1950	146	23	of	of	ADP
iajs-1950	146	24	neurons	neuron	NOUN
iajs-1950	146	25	in	in	ADP
iajs-1950	146	26	the	the	DET
iajs-1950	146	27	hidden	hide	VERB
iajs-1950	146	28	layer	layer	NOUN
iajs-1950	146	29	.	.	PUNCT
iajs-1950	147	1	the	the	DET
iajs-1950	147	2	model	model	NOUN
iajs-1950	147	3	used	use	VERB
iajs-1950	147	4	for	for	ADP
iajs-1950	147	5	this	this	DET
iajs-1950	147	6	case	case	NOUN
iajs-1950	147	7	is	be	AUX
iajs-1950	147	8	shown	show	VERB
iajs-1950	147	9	in	in	ADP
iajs-1950	147	10	figure	figure	NOUN
iajs-1950	147	11	(	(	PUNCT
iajs-1950	147	12	5	5	NUM
iajs-1950	147	13	)	)	PUNCT
iajs-1950	147	14	.	.	PUNCT
iajs-1950	148	1	the	the	DET
iajs-1950	148	2	samples	sample	NOUN
iajs-1950	148	3	of	of	ADP
iajs-1950	148	4	images	image	NOUN
iajs-1950	148	5	used	use	VERB
iajs-1950	148	6	to	to	PART
iajs-1950	148	7	train	train	VERB
iajs-1950	148	8	the	the	DET
iajs-1950	148	9	two	two	NUM
iajs-1950	148	10	nns	nns	NOUN
iajs-1950	148	11	models	model	NOUN
iajs-1950	148	12	are	be	AUX
iajs-1950	148	13	given	give	VERB
iajs-1950	148	14	in	in	ADP
iajs-1950	148	15	figure	figure	NOUN
iajs-1950	148	16	(	(	PUNCT
iajs-1950	148	17	6	6	NUM
iajs-1950	148	18	)	)	PUNCT
iajs-1950	148	19	.	.	PUNCT
iajs-1950	149	1	the	the	DET
iajs-1950	149	2	samples	sample	NOUN
iajs-1950	149	3	of	of	ADP
iajs-1950	149	4	images	image	NOUN
iajs-1950	149	5	used	use	VERB
iajs-1950	149	6	to	to	PART
iajs-1950	149	7	test	test	VERB
iajs-1950	149	8	the	the	DET
iajs-1950	149	9	two	two	NUM
iajs-1950	149	10	nns	nns	NOUN
iajs-1950	149	11	models	model	NOUN
iajs-1950	149	12	are	be	AUX
iajs-1950	149	13	given	give	VERB
iajs-1950	149	14	in	in	ADP
iajs-1950	149	15	fig	fig	NOUN
iajs-1950	149	16	.	.	PUNCT
iajs-1950	150	1	7	7	X
iajs-1950	150	2	.	.	X
iajs-1950	150	3	and	and	CCONJ
iajs-1950	150	4	some	some	DET
iajs-1950	150	5	classifiers	classifier	NOUN
iajs-1950	150	6	results	result	NOUN
iajs-1950	150	7	can	can	AUX
iajs-1950	150	8	be	be	AUX
iajs-1950	150	9	showed	show	VERB
iajs-1950	150	10	in	in	ADP
iajs-1950	150	11	figure	figure	NOUN
iajs-1950	150	12	(	(	PUNCT
iajs-1950	150	13	8)	8)	NUM
iajs-1950	150	14	.	.	PUNCT
iajs-1950	151	1	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	151	2	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	151	3	computer	computer	NOUN
iajs-1950	151	4	|	|	ADV
iajs-1950	151	5	216	216	NUM
iajs-1950	151	6	2018	2018	NUM
iajs-1950	151	7	(	(	PUNCT
iajs-1950	151	8	عام	عام	ADP
iajs-1950	151	9	2	2	NUM
iajs-1950	151	10	(	(	PUNCT
iajs-1950	151	11	العدد	العدد	PROPN
iajs-1950	151	12	)	)	PUNCT
iajs-1950	151	13	31لمجلد	31لمجلد	NUM
iajs-1950	151	14	)	)	PUNCT
iajs-1950	152	1	ا	ا	X
iajs-1950	153	1	مجلة	مجلة	NOUN
iajs-1950	153	2	إبن	إبن	VERB
iajs-1950	153	3	الهيثم	الهيثم	ADJ
iajs-1950	153	4	للعلوم	للعلوم	NOUN
iajs-1950	153	5	الصرفة	الصرفة	NOUN
iajs-1950	154	1	و	و	PRON
iajs-1950	154	2	التطبيقية	التطبيقية	ADJ
iajs-1950	154	3	ibn	ibn	PROPN
iajs-1950	154	4	al	al	PROPN
iajs-1950	154	5	-	-	PUNCT
iajs-1950	154	6	haitham	haitham	PROPN
iajs-1950	154	7	j.	j.	PROPN
iajs-1950	154	8	for	for	ADP
iajs-1950	154	9	pure	pure	PROPN
iajs-1950	154	10	&	&	CCONJ
iajs-1950	154	11	appl	appl	PROPN
iajs-1950	154	12	.	.	PUNCT
iajs-1950	155	1	sci	sci	PROPN
iajs-1950	155	2	.	.	PUNCT
iajs-1950	156	1	vol.31	vol.31	PROPN
iajs-1950	156	2	(	(	PUNCT
iajs-1950	156	3	2	2	NUM
iajs-1950	156	4	)	)	SYM
iajs-1950	156	5	2018	2018	NUM
iajs-1950	156	6	figure	figure	NOUN
iajs-1950	156	7	(	(	PUNCT
iajs-1950	156	8	3	3	NUM
iajs-1950	156	9	):	):	PUNCT
iajs-1950	156	10	background	background	NOUN
iajs-1950	156	11	model	model	NOUN
iajs-1950	156	12	,	,	PUNCT
iajs-1950	156	13	original	original	ADJ
iajs-1950	156	14	frames	frame	NOUN
iajs-1950	156	15	and	and	CCONJ
iajs-1950	156	16	background	background	NOUN
iajs-1950	156	17	subtracted	subtract	VERB
iajs-1950	156	18	frames	frame	NOUN
iajs-1950	156	19	with	with	ADP
iajs-1950	156	20	motion	motion	NOUN
iajs-1950	156	21	region	region	NOUN
iajs-1950	156	22	detected	detect	VERB
iajs-1950	156	23	.	.	PUNCT
iajs-1950	157	1	figure	figure	NOUN
iajs-1950	157	2	(	(	PUNCT
iajs-1950	157	3	4	4	NUM
iajs-1950	157	4	):	):	PUNCT
iajs-1950	157	5	the	the	DET
iajs-1950	157	6	multilayer	multilayer	PROPN
iajs-1950	157	7	perceptron	perceptron	PROPN
iajs-1950	157	8	net	net	PROPN
iajs-1950	157	9	used	use	VERB
iajs-1950	157	10	in	in	ADP
iajs-1950	157	11	the	the	DET
iajs-1950	157	12	experimentations	experimentation	NOUN
iajs-1950	157	13	.	.	PUNCT
iajs-1950	158	1	where	where	SCONJ
iajs-1950	158	2	:	:	PUNCT
iajs-1950	158	3	w	w	NOUN
iajs-1950	158	4	=	=	PUNCT
iajs-1950	158	5	weight	weight	NOUN
iajs-1950	158	6	,	,	PUNCT
iajs-1950	158	7	b	b	X
iajs-1950	158	8	=	=	SYM
iajs-1950	158	9	bias	bias	NOUN
iajs-1950	158	10	.	.	PUNCT
iajs-1950	159	1	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	159	2	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	159	3	computer	computer	NOUN
iajs-1950	159	4	|	|	ADV
iajs-1950	159	5	217	217	NUM
iajs-1950	159	6	2018	2018	NUM
iajs-1950	159	7	(	(	PUNCT
iajs-1950	159	8	عام	عام	ADP
iajs-1950	159	9	2	2	NUM
iajs-1950	159	10	(	(	PUNCT
iajs-1950	159	11	العدد	العدد	PROPN
iajs-1950	159	12	)	)	PUNCT
iajs-1950	159	13	31لمجلد	31لمجلد	NUM
iajs-1950	159	14	)	)	PUNCT
iajs-1950	160	1	ا	ا	X
iajs-1950	161	1	مجلة	مجلة	NOUN
iajs-1950	161	2	إبن	إبن	VERB
iajs-1950	161	3	الهيثم	الهيثم	ADJ
iajs-1950	161	4	للعلوم	للعلوم	NOUN
iajs-1950	161	5	الصرفة	الصرفة	NOUN
iajs-1950	162	1	و	و	PRON
iajs-1950	162	2	التطبيقية	التطبيقية	ADJ
iajs-1950	162	3	ibn	ibn	PROPN
iajs-1950	162	4	al	al	PROPN
iajs-1950	162	5	-	-	PUNCT
iajs-1950	162	6	haitham	haitham	PROPN
iajs-1950	162	7	j.	j.	PROPN
iajs-1950	162	8	for	for	ADP
iajs-1950	162	9	pure	pure	PROPN
iajs-1950	162	10	&	&	CCONJ
iajs-1950	162	11	appl	appl	PROPN
iajs-1950	162	12	.	.	PUNCT
iajs-1950	163	1	sci	sci	PROPN
iajs-1950	163	2	.	.	PUNCT
iajs-1950	164	1	vol.31	vol.31	PROPN
iajs-1950	164	2	(	(	PUNCT
iajs-1950	164	3	2	2	NUM
iajs-1950	164	4	)	)	SYM
iajs-1950	164	5	2018	2018	NUM
iajs-1950	164	6	figure	figure	NOUN
iajs-1950	164	7	(	(	PUNCT
iajs-1950	164	8	5	5	NUM
iajs-1950	164	9	):	):	PUNCT
iajs-1950	164	10	the	the	DET
iajs-1950	164	11	radial	radial	ADJ
iajs-1950	164	12	basis	basis	NOUN
iajs-1950	164	13	function	function	NOUN
iajs-1950	164	14	net	net	NOUN
iajs-1950	164	15	used	use	VERB
iajs-1950	164	16	in	in	ADP
iajs-1950	164	17	the	the	DET
iajs-1950	164	18	experimentations	experimentation	NOUN
iajs-1950	164	19	.	.	PUNCT
iajs-1950	165	1	figure	figure	NOUN
iajs-1950	165	2	(	(	PUNCT
iajs-1950	165	3	6	6	NUM
iajs-1950	165	4	):	):	PUNCT
iajs-1950	165	5	the	the	DET
iajs-1950	165	6	images	image	NOUN
iajs-1950	165	7	samples	sample	NOUN
iajs-1950	165	8	used	use	VERB
iajs-1950	165	9	to	to	PART
iajs-1950	165	10	train	train	VERB
iajs-1950	165	11	the	the	DET
iajs-1950	165	12	nns	nns	NOUN
iajs-1950	165	13	models	model	NOUN
iajs-1950	165	14	.	.	PUNCT
iajs-1950	166	1	figure	figure	NOUN
iajs-1950	166	2	(	(	PUNCT
iajs-1950	166	3	7	7	NUM
iajs-1950	166	4	):	):	PUNCT
iajs-1950	166	5	the	the	DET
iajs-1950	166	6	images	image	NOUN
iajs-1950	166	7	samples	sample	NOUN
iajs-1950	166	8	used	use	VERB
iajs-1950	166	9	to	to	PART
iajs-1950	166	10	test	test	VERB
iajs-1950	166	11	the	the	DET
iajs-1950	166	12	nns	nns	NOUN
iajs-1950	166	13	models	model	NOUN
iajs-1950	166	14	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	166	15	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	166	16	computer	computer	NOUN
iajs-1950	166	17	|	|	ADV
iajs-1950	166	18	218	218	NUM
iajs-1950	166	19	2018	2018	NUM
iajs-1950	166	20	(	(	PUNCT
iajs-1950	166	21	عام	عام	ADP
iajs-1950	166	22	2	2	NUM
iajs-1950	166	23	(	(	PUNCT
iajs-1950	166	24	العدد	العدد	PROPN
iajs-1950	166	25	)	)	PUNCT
iajs-1950	166	26	31لمجلد	31لمجلد	NUM
iajs-1950	166	27	)	)	PUNCT
iajs-1950	167	1	ا	ا	X
iajs-1950	168	1	مجلة	مجلة	NOUN
iajs-1950	168	2	إبن	إبن	VERB
iajs-1950	168	3	الهيثم	الهيثم	ADJ
iajs-1950	168	4	للعلوم	للعلوم	NOUN
iajs-1950	168	5	الصرفة	الصرفة	NOUN
iajs-1950	169	1	و	و	PRON
iajs-1950	169	2	التطبيقية	التطبيقية	ADJ
iajs-1950	169	3	ibn	ibn	PROPN
iajs-1950	169	4	al	al	PROPN
iajs-1950	169	5	-	-	PUNCT
iajs-1950	169	6	haitham	haitham	PROPN
iajs-1950	169	7	j.	j.	PROPN
iajs-1950	169	8	for	for	ADP
iajs-1950	169	9	pure	pure	PROPN
iajs-1950	169	10	&	&	CCONJ
iajs-1950	169	11	appl	appl	PROPN
iajs-1950	169	12	.	.	PUNCT
iajs-1950	170	1	sci	sci	PROPN
iajs-1950	170	2	.	.	PUNCT
iajs-1950	171	1	vol.31	vol.31	PROPN
iajs-1950	171	2	(	(	PUNCT
iajs-1950	171	3	2	2	NUM
iajs-1950	171	4	)	)	SYM
iajs-1950	171	5	2018	2018	NUM
iajs-1950	171	6	figure	figure	NOUN
iajs-1950	171	7	(	(	PUNCT
iajs-1950	171	8	8)	8)	NUM
iajs-1950	171	9	:	:	PUNCT
iajs-1950	171	10	sample	sample	NOUN
iajs-1950	171	11	of	of	ADP
iajs-1950	171	12	results	result	NOUN
iajs-1950	171	13	obtained	obtain	VERB
iajs-1950	171	14	from	from	ADP
iajs-1950	171	15	classifiers	classifier	NOUN
iajs-1950	171	16	the	the	DET
iajs-1950	171	17	computer	computer	NOUN
iajs-1950	171	18	codes	code	VERB
iajs-1950	171	19	for	for	ADP
iajs-1950	171	20	the	the	DET
iajs-1950	171	21	mlp	mlp	NOUN
iajs-1950	171	22	and	and	CCONJ
iajs-1950	171	23	the	the	DET
iajs-1950	171	24	rbf	rbf	PROPN
iajs-1950	171	25	models	model	NOUN
iajs-1950	171	26	were	be	AUX
iajs-1950	171	27	developed	develop	VERB
iajs-1950	171	28	in	in	ADP
iajs-1950	171	29	mat	mat	NOUN
iajs-1950	171	30	-	-	PUNCT
iajs-1950	171	31	lab	lab	NOUN
iajs-1950	171	32	software	software	NOUN
iajs-1950	171	33	(	(	PUNCT
iajs-1950	171	34	version	version	NOUN
iajs-1950	171	35	2016	2016	NUM
iajs-1950	171	36	)	)	PUNCT
iajs-1950	171	37	.	.	PUNCT
iajs-1950	172	1	the	the	DET
iajs-1950	172	2	models	model	NOUN
iajs-1950	172	3	were	be	AUX
iajs-1950	172	4	trained	train	VERB
iajs-1950	172	5	until	until	SCONJ
iajs-1950	172	6	the	the	DET
iajs-1950	172	7	best	good	ADJ
iajs-1950	172	8	performance	performance	NOUN
iajs-1950	172	9	was	be	AUX
iajs-1950	172	10	obtained	obtain	VERB
iajs-1950	172	11	.	.	PUNCT
iajs-1950	173	1	the	the	DET
iajs-1950	173	2	optimal	optimal	ADJ
iajs-1950	173	3	parameters	parameter	NOUN
iajs-1950	173	4	(	(	PUNCT
iajs-1950	173	5	biases	bias	NOUN
iajs-1950	173	6	and	and	CCONJ
iajs-1950	173	7	weights	weight	NOUN
iajs-1950	173	8	)	)	PUNCT
iajs-1950	173	9	of	of	ADP
iajs-1950	173	10	the	the	DET
iajs-1950	173	11	network	network	NOUN
iajs-1950	173	12	were	be	AUX
iajs-1950	173	13	saved	save	VERB
iajs-1950	173	14	and	and	CCONJ
iajs-1950	173	15	used	use	VERB
iajs-1950	173	16	for	for	ADP
iajs-1950	173	17	testing	testing	NOUN
iajs-1950	173	18	and	and	CCONJ
iajs-1950	173	19	validating	validate	VERB
iajs-1950	173	20	operation	operation	NOUN
iajs-1950	173	21	of	of	ADP
iajs-1950	173	22	the	the	DET
iajs-1950	173	23	models	model	NOUN
iajs-1950	173	24	that	that	PRON
iajs-1950	173	25	are	be	AUX
iajs-1950	173	26	given	give	VERB
iajs-1950	173	27	in	in	ADP
iajs-1950	173	28	figure	figure	NOUN
iajs-1950	173	29	(	(	PUNCT
iajs-1950	173	30	4	4	NUM
iajs-1950	173	31	and	and	CCONJ
iajs-1950	173	32	5	5	NUM
iajs-1950	173	33	)	)	PUNCT
iajs-1950	173	34	,	,	PUNCT
iajs-1950	173	35	with	with	ADP
iajs-1950	173	36	their	their	PRON
iajs-1950	173	37	properties	property	NOUN
iajs-1950	173	38	that	that	PRON
iajs-1950	173	39	are	be	AUX
iajs-1950	173	40	given	give	VERB
iajs-1950	173	41	in	in	ADP
iajs-1950	173	42	table	table	NOUN
iajs-1950	173	43	(	(	PUNCT
iajs-1950	173	44	1	1	NUM
iajs-1950	173	45	)	)	PUNCT
iajs-1950	173	46	.	.	PUNCT
iajs-1950	174	1	this	this	DET
iajs-1950	174	2	stage	stage	NOUN
iajs-1950	174	3	succeeded	succeed	VERB
iajs-1950	174	4	in	in	ADP
iajs-1950	174	5	classify	classify	VERB
iajs-1950	174	6	the	the	DET
iajs-1950	174	7	object	object	NOUN
iajs-1950	174	8	in	in	ADP
iajs-1950	174	9	10	10	NUM
iajs-1950	174	10	video	video	NOUN
iajs-1950	174	11	out	out	ADP
iajs-1950	174	12	of	of	ADP
iajs-1950	174	13	10	10	NUM
iajs-1950	174	14	,	,	PUNCT
iajs-1950	174	15	this	this	PRON
iajs-1950	174	16	mean	mean	VERB
iajs-1950	174	17	the	the	DET
iajs-1950	174	18	ratio	ratio	NOUN
iajs-1950	174	19	of	of	ADP
iajs-1950	174	20	succeed	succeed	NOUN
iajs-1950	174	21	in	in	ADP
iajs-1950	174	22	this	this	DET
iajs-1950	174	23	stage	stage	NOUN
iajs-1950	174	24	is	be	AUX
iajs-1950	174	25	100	100	NUM
iajs-1950	174	26	%	%	NOUN
iajs-1950	174	27	.	.	PUNCT
iajs-1950	175	1	table	table	NOUN
iajs-1950	175	2	(	(	PUNCT
iajs-1950	175	3	1	1	NUM
iajs-1950	175	4	):	):	PUNCT
iajs-1950	175	5	optimum	optimum	ADJ
iajs-1950	175	6	properties	property	NOUN
iajs-1950	175	7	of	of	ADP
iajs-1950	175	8	the	the	DET
iajs-1950	175	9	anns	anns	PROPN
iajs-1950	175	10	rbf	rbf	PROPN
iajs-1950	175	11	mlp	mlp	PROPN
iajs-1950	175	12	parameter	parameter	PROPN
iajs-1950	175	13	3	3	NUM
iajs-1950	175	14	4	4	NUM
iajs-1950	175	15	no	no	NOUN
iajs-1950	175	16	.	.	NOUN
iajs-1950	176	1	of	of	ADP
iajs-1950	176	2	layers	layer	NOUN
iajs-1950	176	3	in	in	ADP
iajs-1950	176	4	the	the	DET
iajs-1950	176	5	network	network	NOUN
iajs-1950	176	6	7	7	NUM
iajs-1950	176	7	7	7	NUM
iajs-1950	176	8	no	no	NOUN
iajs-1950	176	9	.	.	PUNCT
iajs-1950	177	1	of	of	ADP
iajs-1950	177	2	nodes	node	NOUN
iajs-1950	177	3	in	in	ADP
iajs-1950	177	4	input	input	NOUN
iajs-1950	177	5	layer	layer	NOUN
iajs-1950	177	6	1	1	NUM
iajs-1950	177	7	2	2	NUM
iajs-1950	177	8	no	no	NOUN
iajs-1950	177	9	.	.	PUNCT
iajs-1950	178	1	of	of	ADP
iajs-1950	178	2	hidden	hidden	ADJ
iajs-1950	178	3	layers	layer	NOUN
iajs-1950	178	4	38	38	NUM
iajs-1950	178	5	1st	1st	ADJ
iajs-1950	178	6	layer=30	layer=30	PROPN
iajs-1950	178	7	2nd	2nd	PROPN
iajs-1950	178	8	layer=20	layer=20	PROPN
iajs-1950	178	9	no	no	INTJ
iajs-1950	178	10	.	.	PUNCT
iajs-1950	178	11	of	of	ADP
iajs-1950	178	12	nodes	node	NOUN
iajs-1950	178	13	in	in	ADP
iajs-1950	178	14	hidden	hidden	ADJ
iajs-1950	178	15	layer	layer	NOUN
iajs-1950	178	16	1	1	NUM
iajs-1950	178	17	1	1	NUM
iajs-1950	178	18	no	no	NOUN
iajs-1950	178	19	.	.	PUNCT
iajs-1950	179	1	of	of	ADP
iajs-1950	179	2	nodes	node	NOUN
iajs-1950	179	3	in	in	ADP
iajs-1950	179	4	output	output	NOUN
iajs-1950	179	5	layer	layer	NOUN
iajs-1950	179	6	gaussian	gaussian	PROPN
iajs-1950	179	7	1st	1st	ADJ
iajs-1950	179	8	layer	layer	NOUN
iajs-1950	179	9	:	:	PUNCT
iajs-1950	179	10	sigmoid	sigmoid	NOUN
iajs-1950	179	11	2nd	2nd	ADJ
iajs-1950	179	12	layer	layer	NOUN
iajs-1950	179	13	:	:	PUNCT
iajs-1950	179	14	sigmoid	sigmoid	NOUN
iajs-1950	179	15	activation	activation	NOUN
iajs-1950	179	16	function	function	NOUN
iajs-1950	179	17	of	of	ADP
iajs-1950	179	18	hidden	hide	VERB
iajs-1950	179	19	layer	layer	NOUN
iajs-1950	179	20	linear	linear	ADJ
iajs-1950	179	21	linear	linear	ADJ
iajs-1950	179	22	activation	activation	NOUN
iajs-1950	179	23	function	function	NOUN
iajs-1950	179	24	of	of	ADP
iajs-1950	179	25	output	output	NOUN
iajs-1950	179	26	layer	layer	NOUN
iajs-1950	179	27	non	non	ADJ
iajs-1950	179	28	575	575	NUM
iajs-1950	179	29	no	no	NOUN
iajs-1950	179	30	.	.	PUNCT
iajs-1950	180	1	of	of	ADP
iajs-1950	180	2	iterations	iteration	NOUN
iajs-1950	180	3	1	1	NUM
iajs-1950	180	4	non	non	NOUN
iajs-1950	180	5	number	number	NOUN
iajs-1950	180	6	of	of	ADP
iajs-1950	180	7	neurons	neuron	NOUN
iajs-1950	180	8	to	to	PART
iajs-1950	180	9	add	add	VERB
iajs-1950	180	10	between	between	ADP
iajs-1950	180	11	displays	display	NOUN
iajs-1950	180	12	0	0	NUM
iajs-1950	180	13	0	0	NUM
iajs-1950	180	14	mean	mean	NOUN
iajs-1950	180	15	squared	square	VERB
iajs-1950	180	16	error	error	NOUN
iajs-1950	180	17	goal	goal	NOUN
iajs-1950	180	18	1e+11	1e+11	NUM
iajs-1950	180	19	non	non	NOUN
iajs-1950	180	20	spread	spread	VERB
iajs-1950	180	21	50	50	NUM
iajs-1950	180	22	non	non	NOUN
iajs-1950	180	23	maximum	maximum	ADJ
iajs-1950	180	24	number	number	NOUN
iajs-1950	180	25	of	of	ADP
iajs-1950	180	26	neurons	neuron	NOUN
iajs-1950	180	27	the	the	DET
iajs-1950	180	28	results	result	NOUN
iajs-1950	180	29	obtained	obtain	VERB
iajs-1950	180	30	are	be	AUX
iajs-1950	180	31	shown	show	VERB
iajs-1950	180	32	in	in	ADP
iajs-1950	180	33	figure	figure	NOUN
iajs-1950	180	34	(	(	PUNCT
iajs-1950	180	35	9	9	NUM
iajs-1950	180	36	)	)	PUNCT
iajs-1950	180	37	which	which	PRON
iajs-1950	180	38	explain	explain	VERB
iajs-1950	180	39	that	that	SCONJ
iajs-1950	180	40	the	the	DET
iajs-1950	180	41	error	error	NOUN
iajs-1950	180	42	reduces	reduce	VERB
iajs-1950	180	43	after	after	ADP
iajs-1950	180	44	more	more	ADJ
iajs-1950	180	45	epochs	epoch	NOUN
iajs-1950	180	46	of	of	ADP
iajs-1950	180	47	training	training	NOUN
iajs-1950	180	48	and	and	CCONJ
iajs-1950	180	49	the	the	DET
iajs-1950	180	50	best	good	ADJ
iajs-1950	180	51	performance	performance	NOUN
iajs-1950	180	52	is	be	AUX
iajs-1950	180	53	taken	take	VERB
iajs-1950	180	54	from	from	ADP
iajs-1950	180	55	the	the	DET
iajs-1950	180	56	epoch	epoch	NOUN
iajs-1950	180	57	with	with	ADP
iajs-1950	180	58	the	the	DET
iajs-1950	180	59	lowest	low	ADJ
iajs-1950	180	60	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	180	61	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	180	62	computer	computer	NOUN
iajs-1950	180	63	|	|	ADV
iajs-1950	180	64	219	219	NUM
iajs-1950	180	65	2018	2018	NUM
iajs-1950	180	66	(	(	PUNCT
iajs-1950	180	67	عام	عام	ADP
iajs-1950	180	68	2	2	NUM
iajs-1950	180	69	(	(	PUNCT
iajs-1950	180	70	العدد	العدد	PROPN
iajs-1950	180	71	)	)	PUNCT
iajs-1950	180	72	31لمجلد	31لمجلد	NUM
iajs-1950	180	73	)	)	PUNCT
iajs-1950	181	1	ا	ا	X
iajs-1950	182	1	مجلة	مجلة	NOUN
iajs-1950	182	2	إبن	إبن	VERB
iajs-1950	182	3	الهيثم	الهيثم	ADJ
iajs-1950	182	4	للعلوم	للعلوم	NOUN
iajs-1950	182	5	الصرفة	الصرفة	NOUN
iajs-1950	183	1	و	و	PRON
iajs-1950	183	2	التطبيقية	التطبيقية	ADJ
iajs-1950	183	3	ibn	ibn	PROPN
iajs-1950	183	4	al	al	PROPN
iajs-1950	183	5	-	-	PUNCT
iajs-1950	183	6	haitham	haitham	PROPN
iajs-1950	183	7	j.	j.	PROPN
iajs-1950	183	8	for	for	ADP
iajs-1950	183	9	pure	pure	PROPN
iajs-1950	183	10	&	&	CCONJ
iajs-1950	183	11	appl	appl	PROPN
iajs-1950	183	12	.	.	PUNCT
iajs-1950	184	1	sci	sci	PROPN
iajs-1950	184	2	.	.	PUNCT
iajs-1950	185	1	vol.31	vol.31	PROPN
iajs-1950	185	2	(	(	PUNCT
iajs-1950	185	3	2	2	NUM
iajs-1950	185	4	)	)	SYM
iajs-1950	185	5	2018	2018	NUM
iajs-1950	185	6	validation	validation	NOUN
iajs-1950	185	7	error	error	NOUN
iajs-1950	185	8	and	and	CCONJ
iajs-1950	185	9	fig	fig	NOUN
iajs-1950	185	10	.	.	PUNCT
iajs-1950	186	1	10	10	NUM
iajs-1950	186	2	which	which	PRON
iajs-1950	186	3	explain	explain	VERB
iajs-1950	186	4	that	that	SCONJ
iajs-1950	186	5	the	the	DET
iajs-1950	186	6	error	error	NOUN
iajs-1950	186	7	reduces	reduce	VERB
iajs-1950	186	8	after	after	ADP
iajs-1950	186	9	more	more	ADJ
iajs-1950	186	10	epochs	epoch	NOUN
iajs-1950	186	11	of	of	ADP
iajs-1950	186	12	training	training	NOUN
iajs-1950	186	13	until	until	SCONJ
iajs-1950	186	14	it	it	PRON
iajs-1950	186	15	reaches	reach	VERB
iajs-1950	186	16	to	to	ADP
iajs-1950	186	17	minimum	minimum	NOUN
iajs-1950	186	18	error	error	NOUN
iajs-1950	186	19	.	.	PUNCT
iajs-1950	187	1	where	where	SCONJ
iajs-1950	187	2	mse	mse	PROPN
iajs-1950	187	3	is	be	AUX
iajs-1950	187	4	the	the	DET
iajs-1950	187	5	mean	mean	ADJ
iajs-1950	187	6	squared	square	VERB
iajs-1950	187	7	error	error	NOUN
iajs-1950	187	8	and	and	CCONJ
iajs-1950	187	9	it	it	PRON
iajs-1950	187	10	represents	represent	VERB
iajs-1950	187	11	an	an	DET
iajs-1950	187	12	estimator	estimator	NOUN
iajs-1950	187	13	’s	’s	PART
iajs-1950	187	14	quality	quality	NOUN
iajs-1950	187	15	measuring	measuring	NOUN
iajs-1950	187	16	.	.	PUNCT
iajs-1950	188	1	this	this	DET
iajs-1950	188	2	value	value	NOUN
iajs-1950	188	3	is	be	AUX
iajs-1950	188	4	at	at	ADV
iajs-1950	188	5	all	all	DET
iajs-1950	188	6	times	time	NOUN
iajs-1950	188	7	either	either	CCONJ
iajs-1950	188	8	zero	zero	NUM
iajs-1950	188	9	or	or	CCONJ
iajs-1950	188	10	positive	positive	ADJ
iajs-1950	188	11	.	.	PUNCT
iajs-1950	189	1	values	value	NOUN
iajs-1950	189	2	near	near	ADP
iajs-1950	189	3	to	to	ADP
iajs-1950	189	4	zero	zero	NUM
iajs-1950	189	5	represents	represent	VERB
iajs-1950	189	6	a	a	DET
iajs-1950	189	7	good	good	ADJ
iajs-1950	189	8	indication	indication	NOUN
iajs-1950	189	9	of	of	ADP
iajs-1950	189	10	quality	quality	NOUN
iajs-1950	189	11	,	,	PUNCT
iajs-1950	189	12	and	and	CCONJ
iajs-1950	189	13	are	be	AUX
iajs-1950	189	14	summarized	summarize	VERB
iajs-1950	189	15	in	in	ADP
iajs-1950	189	16	table	table	NOUN
iajs-1950	189	17	(	(	PUNCT
iajs-1950	189	18	2	2	NUM
iajs-1950	189	19	)	)	PUNCT
iajs-1950	189	20	for	for	ADP
iajs-1950	189	21	performance	performance	NOUN
iajs-1950	189	22	and	and	CCONJ
iajs-1950	189	23	table	table	NOUN
iajs-1950	189	24	(	(	PUNCT
iajs-1950	189	25	3	3	NUM
iajs-1950	189	26	)	)	PUNCT
iajs-1950	189	27	for	for	ADP
iajs-1950	189	28	time	time	NOUN
iajs-1950	189	29	.	.	PUNCT
iajs-1950	190	1	figure	figure	NOUN
iajs-1950	190	2	(	(	PUNCT
iajs-1950	190	3	9	9	NUM
iajs-1950	190	4	):	):	PUNCT
iajs-1950	190	5	performance	performance	NOUN
iajs-1950	190	6	of	of	ADP
iajs-1950	190	7	the	the	DET
iajs-1950	190	8	mlp	mlp	PROPN
iajs-1950	190	9	neural	neural	ADJ
iajs-1950	190	10	network	network	PROPN
iajs-1950	190	11	.	.	PUNCT
iajs-1950	191	1	figure	figure	NOUN
iajs-1950	191	2	(	(	PUNCT
iajs-1950	191	3	10	10	NUM
iajs-1950	191	4	):	):	PUNCT
iajs-1950	191	5	performance	performance	NOUN
iajs-1950	191	6	of	of	ADP
iajs-1950	191	7	the	the	DET
iajs-1950	191	8	rbf	rbf	PROPN
iajs-1950	191	9	neural	neural	PROPN
iajs-1950	191	10	networks	network	NOUN
iajs-1950	191	11	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	191	12	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	191	13	computer	computer	NOUN
iajs-1950	191	14	|	|	ADV
iajs-1950	191	15	220	220	NUM
iajs-1950	191	16	2018	2018	NUM
iajs-1950	191	17	(	(	PUNCT
iajs-1950	191	18	عام	عام	ADP
iajs-1950	191	19	2	2	NUM
iajs-1950	191	20	(	(	PUNCT
iajs-1950	191	21	العدد	العدد	PROPN
iajs-1950	191	22	)	)	PUNCT
iajs-1950	191	23	31لمجلد	31لمجلد	NUM
iajs-1950	191	24	)	)	PUNCT
iajs-1950	191	25	ا	ا	X
iajs-1950	192	1	مجلة	مجلة	NOUN
iajs-1950	192	2	إبن	إبن	VERB
iajs-1950	192	3	الهيثم	الهيثم	ADJ
iajs-1950	192	4	للعلوم	للعلوم	NOUN
iajs-1950	192	5	الصرفة	الصرفة	NOUN
iajs-1950	193	1	و	و	PRON
iajs-1950	193	2	التطبيقية	التطبيقية	ADJ
iajs-1950	193	3	ibn	ibn	PROPN
iajs-1950	193	4	al	al	PROPN
iajs-1950	193	5	-	-	PUNCT
iajs-1950	193	6	haitham	haitham	PROPN
iajs-1950	193	7	j.	j.	PROPN
iajs-1950	193	8	for	for	ADP
iajs-1950	193	9	pure	pure	PROPN
iajs-1950	193	10	&	&	CCONJ
iajs-1950	193	11	appl	appl	PROPN
iajs-1950	193	12	.	.	PUNCT
iajs-1950	194	1	sci	sci	PROPN
iajs-1950	194	2	.	.	PUNCT
iajs-1950	195	1	vol.31	vol.31	PROPN
iajs-1950	195	2	(	(	PUNCT
iajs-1950	195	3	2	2	NUM
iajs-1950	195	4	)	)	SYM
iajs-1950	195	5	2018	2018	NUM
iajs-1950	195	6	table	table	NOUN
iajs-1950	195	7	(	(	PUNCT
iajs-1950	195	8	2	2	NUM
iajs-1950	195	9	):	):	PUNCT
iajs-1950	195	10	performance	performance	NOUN
iajs-1950	195	11	indices	index	NOUN
iajs-1950	195	12	for	for	ADP
iajs-1950	195	13	the	the	DET
iajs-1950	195	14	tested	test	VERB
iajs-1950	195	15	nets	net	NOUN
iajs-1950	195	16	models	model	NOUN
iajs-1950	195	17	.	.	PUNCT
iajs-1950	196	1	rbf	rbf	PROPN
iajs-1950	196	2	mlp	mlp	PROPN
iajs-1950	196	3	model	model	PROPN
iajs-1950	196	4	2.36811e-18	2.36811e-18	NUM
iajs-1950	196	5	2.6937e-11	2.6937e-11	NUM
iajs-1950	196	6	performance	performance	NOUN
iajs-1950	196	7	table	table	NOUN
iajs-1950	196	8	(	(	PUNCT
iajs-1950	196	9	3	3	NUM
iajs-1950	196	10	):	):	PUNCT
iajs-1950	196	11	time	time	NOUN
iajs-1950	196	12	indices	index	NOUN
iajs-1950	196	13	for	for	ADP
iajs-1950	196	14	the	the	DET
iajs-1950	196	15	tested	test	VERB
iajs-1950	196	16	nets	net	NOUN
iajs-1950	196	17	models	model	NOUN
iajs-1950	196	18	.	.	PUNCT
iajs-1950	197	1	rbf	rbf	PROPN
iajs-1950	197	2	mlp	mlp	PROPN
iajs-1950	197	3	model	model	PROPN
iajs-1950	197	4	7	7	NUM
iajs-1950	197	5	sec	sec	PROPN
iajs-1950	197	6	.	.	PROPN
iajs-1950	197	7	51	51	NUM
iajs-1950	197	8	sec	sec	PROPN
iajs-1950	197	9	.	.	PUNCT
iajs-1950	198	1	profile	profile	PROPN
iajs-1950	198	2	time	time	NOUN
iajs-1950	198	3	conclusions	conclusion	NOUN
iajs-1950	198	4	from	from	ADP
iajs-1950	198	5	simulation	simulation	NOUN
iajs-1950	198	6	results	result	NOUN
iajs-1950	198	7	it	it	PRON
iajs-1950	198	8	is	be	AUX
iajs-1950	198	9	found	find	VERB
iajs-1950	198	10	that	that	SCONJ
iajs-1950	198	11	the	the	DET
iajs-1950	198	12	classification	classification	NOUN
iajs-1950	198	13	performance	performance	NOUN
iajs-1950	198	14	of	of	ADP
iajs-1950	198	15	both	both	PRON
iajs-1950	198	16	of	of	ADP
iajs-1950	198	17	the	the	DET
iajs-1950	198	18	rbf	rbf	PROPN
iajs-1950	198	19	and	and	CCONJ
iajs-1950	198	20	the	the	DET
iajs-1950	198	21	mlp	mlp	NOUN
iajs-1950	198	22	types	type	NOUN
iajs-1950	198	23	of	of	ADP
iajs-1950	198	24	neural	neural	ADJ
iajs-1950	198	25	networks	network	NOUN
iajs-1950	198	26	is	be	AUX
iajs-1950	198	27	acceptable	acceptable	ADJ
iajs-1950	198	28	.	.	PUNCT
iajs-1950	199	1	still	still	ADV
iajs-1950	199	2	,	,	PUNCT
iajs-1950	199	3	a	a	DET
iajs-1950	199	4	better	well	ADJ
iajs-1950	199	5	relative	relative	ADJ
iajs-1950	199	6	performance	performance	NOUN
iajs-1950	199	7	was	be	AUX
iajs-1950	199	8	achieved	achieve	VERB
iajs-1950	199	9	by	by	ADP
iajs-1950	199	10	the	the	DET
iajs-1950	199	11	rbf	rbf	PROPN
iajs-1950	199	12	model	model	NOUN
iajs-1950	199	13	considering	consider	VERB
iajs-1950	199	14	the	the	DET
iajs-1950	199	15	mse	mse	NOUN
iajs-1950	199	16	as	as	SCONJ
iajs-1950	199	17	it	it	PRON
iajs-1950	199	18	gave	give	VERB
iajs-1950	199	19	a	a	DET
iajs-1950	199	20	mse	mse	NOUN
iajs-1950	199	21	of	of	ADP
iajs-1950	199	22	2.36811e-18	2.36811e-18	NUM
iajs-1950	199	23	at	at	ADP
iajs-1950	199	24	epoch	epoch	NOUN
iajs-1950	199	25	38	38	NUM
iajs-1950	199	26	compared	compare	VERB
iajs-1950	199	27	to	to	ADP
iajs-1950	199	28	a	a	DET
iajs-1950	199	29	mse	mse	NOUN
iajs-1950	199	30	of	of	ADP
iajs-1950	199	31	2.6937e-11	2.6937e-11	NUM
iajs-1950	199	32	at	at	ADP
iajs-1950	199	33	epoch	epoch	NOUN
iajs-1950	199	34	575	575	NUM
iajs-1950	199	35	given	give	VERB
iajs-1950	199	36	by	by	ADP
iajs-1950	199	37	the	the	DET
iajs-1950	199	38	mlp	mlp	NOUN
iajs-1950	199	39	,	,	PUNCT
iajs-1950	199	40	the	the	DET
iajs-1950	199	41	error	error	NOUN
iajs-1950	199	42	goal	goal	NOUN
iajs-1950	199	43	of	of	ADP
iajs-1950	199	44	both	both	DET
iajs-1950	199	45	models	model	NOUN
iajs-1950	199	46	was	be	AUX
iajs-1950	199	47	zero	zero	NUM
iajs-1950	199	48	which	which	PRON
iajs-1950	199	49	can	can	AUX
iajs-1950	199	50	be	be	AUX
iajs-1950	199	51	seen	see	VERB
iajs-1950	199	52	in	in	ADP
iajs-1950	199	53	figure	figure	NOUN
iajs-1950	199	54	(	(	PUNCT
iajs-1950	199	55	9	9	NUM
iajs-1950	199	56	)	)	PUNCT
iajs-1950	199	57	which	which	PRON
iajs-1950	199	58	explain	explain	VERB
iajs-1950	199	59	that	that	SCONJ
iajs-1950	199	60	the	the	DET
iajs-1950	199	61	error	error	NOUN
iajs-1950	199	62	reduces	reduce	VERB
iajs-1950	199	63	after	after	ADP
iajs-1950	199	64	more	more	ADJ
iajs-1950	199	65	epochs	epoch	NOUN
iajs-1950	199	66	of	of	ADP
iajs-1950	199	67	training	training	NOUN
iajs-1950	199	68	and	and	CCONJ
iajs-1950	199	69	the	the	DET
iajs-1950	199	70	best	good	ADJ
iajs-1950	199	71	performance	performance	NOUN
iajs-1950	199	72	is	be	AUX
iajs-1950	199	73	taken	take	VERB
iajs-1950	199	74	from	from	ADP
iajs-1950	199	75	the	the	DET
iajs-1950	199	76	epoch	epoch	NOUN
iajs-1950	199	77	with	with	ADP
iajs-1950	199	78	the	the	DET
iajs-1950	199	79	lowest	low	ADJ
iajs-1950	199	80	validation	validation	NOUN
iajs-1950	199	81	error	error	NOUN
iajs-1950	199	82	and	and	CCONJ
iajs-1950	199	83	fig	fig	NOUN
iajs-1950	199	84	.	.	PUNCT
iajs-1950	200	1	10	10	NUM
iajs-1950	200	2	which	which	PRON
iajs-1950	200	3	explain	explain	VERB
iajs-1950	200	4	that	that	SCONJ
iajs-1950	200	5	the	the	DET
iajs-1950	200	6	error	error	NOUN
iajs-1950	200	7	reduces	reduce	VERB
iajs-1950	200	8	after	after	ADP
iajs-1950	200	9	more	more	ADJ
iajs-1950	200	10	epochs	epoch	NOUN
iajs-1950	200	11	of	of	ADP
iajs-1950	200	12	training	training	NOUN
iajs-1950	200	13	until	until	SCONJ
iajs-1950	200	14	it	it	PRON
iajs-1950	200	15	reaches	reach	VERB
iajs-1950	200	16	to	to	ADP
iajs-1950	200	17	minimum	minimum	NOUN
iajs-1950	200	18	error	error	NOUN
iajs-1950	200	19	.	.	PUNCT
iajs-1950	201	1	where	where	SCONJ
iajs-1950	201	2	mse	mse	PROPN
iajs-1950	201	3	is	be	AUX
iajs-1950	201	4	the	the	DET
iajs-1950	201	5	mean	mean	ADJ
iajs-1950	201	6	squared	square	VERB
iajs-1950	201	7	error	error	NOUN
iajs-1950	201	8	and	and	CCONJ
iajs-1950	201	9	it	it	PRON
iajs-1950	201	10	represents	represent	VERB
iajs-1950	201	11	an	an	DET
iajs-1950	201	12	estimator	estimator	NOUN
iajs-1950	201	13	’s	’s	PART
iajs-1950	201	14	quality	quality	NOUN
iajs-1950	201	15	measuring	measuring	NOUN
iajs-1950	201	16	.	.	PUNCT
iajs-1950	202	1	this	this	DET
iajs-1950	202	2	value	value	NOUN
iajs-1950	202	3	is	be	AUX
iajs-1950	202	4	at	at	ADV
iajs-1950	202	5	all	all	DET
iajs-1950	202	6	times	time	NOUN
iajs-1950	202	7	either	either	CCONJ
iajs-1950	202	8	zero	zero	NUM
iajs-1950	202	9	or	or	CCONJ
iajs-1950	202	10	positive	positive	ADJ
iajs-1950	202	11	.	.	PUNCT
iajs-1950	203	1	values	value	NOUN
iajs-1950	203	2	near	near	ADP
iajs-1950	203	3	to	to	ADP
iajs-1950	203	4	zero	zero	NUM
iajs-1950	203	5	represents	represent	VERB
iajs-1950	203	6	a	a	DET
iajs-1950	203	7	good	good	ADJ
iajs-1950	203	8	indication	indication	NOUN
iajs-1950	203	9	of	of	ADP
iajs-1950	203	10	quality	quality	NOUN
iajs-1950	203	11	.	.	PUNCT
iajs-1950	204	1	also	also	ADV
iajs-1950	204	2	it	it	PRON
iajs-1950	204	3	is	be	AUX
iajs-1950	204	4	noted	note	VERB
iajs-1950	204	5	,	,	PUNCT
iajs-1950	204	6	and	and	CCONJ
iajs-1950	204	7	this	this	PRON
iajs-1950	204	8	a	a	DET
iajs-1950	204	9	crucial	crucial	ADJ
iajs-1950	204	10	issue	issue	NOUN
iajs-1950	204	11	,	,	PUNCT
iajs-1950	204	12	that	that	SCONJ
iajs-1950	204	13	the	the	DET
iajs-1950	204	14	rbf	rbf	PROPN
iajs-1950	204	15	took	take	VERB
iajs-1950	204	16	less	less	ADJ
iajs-1950	204	17	time	time	NOUN
iajs-1950	204	18	than	than	ADP
iajs-1950	204	19	the	the	DET
iajs-1950	204	20	mlp	mlp	NOUN
iajs-1950	204	21	,	,	PUNCT
iajs-1950	204	22	where	where	SCONJ
iajs-1950	204	23	the	the	DET
iajs-1950	204	24	rbf	rbf	PROPN
iajs-1950	204	25	took	take	VERB
iajs-1950	204	26	7	7	NUM
iajs-1950	204	27	seconds	second	NOUN
iajs-1950	204	28	and	and	CCONJ
iajs-1950	204	29	the	the	DET
iajs-1950	204	30	mlp	mlp	NOUN
iajs-1950	204	31	took	take	VERB
iajs-1950	204	32	51	51	NUM
iajs-1950	204	33	seconds	second	NOUN
iajs-1950	204	34	to	to	PART
iajs-1950	204	35	give	give	VERB
iajs-1950	204	36	the	the	DET
iajs-1950	204	37	output	output	NOUN
iajs-1950	204	38	(	(	PUNCT
iajs-1950	204	39	i.e.	i.e.	X
iajs-1950	204	40	,	,	PUNCT
iajs-1950	204	41	to	to	PART
iajs-1950	204	42	decide	decide	VERB
iajs-1950	204	43	if	if	SCONJ
iajs-1950	204	44	the	the	DET
iajs-1950	204	45	detected	detect	VERB
iajs-1950	204	46	object	object	NOUN
iajs-1950	204	47	is	be	AUX
iajs-1950	204	48	human	human	ADJ
iajs-1950	204	49	or	or	CCONJ
iajs-1950	204	50	not	not	PART
iajs-1950	204	51	)	)	PUNCT
iajs-1950	204	52	,	,	PUNCT
iajs-1950	204	53	and	and	CCONJ
iajs-1950	204	54	that	that	PRON
iajs-1950	204	55	is	be	AUX
iajs-1950	204	56	because	because	SCONJ
iajs-1950	204	57	for	for	ADP
iajs-1950	204	58	model	model	NOUN
iajs-1950	204	59	development	development	NOUN
iajs-1950	204	60	in	in	ADP
iajs-1950	204	61	the	the	DET
iajs-1950	204	62	rbf	rbf	PROPN
iajs-1950	204	63	case	case	NOUN
iajs-1950	204	64	,	,	PUNCT
iajs-1950	204	65	no	no	DET
iajs-1950	204	66	repetition	repetition	NOUN
iajs-1950	204	67	is	be	AUX
iajs-1950	204	68	required	require	VERB
iajs-1950	204	69	to	to	PART
iajs-1950	204	70	reach	reach	VERB
iajs-1950	204	71	the	the	DET
iajs-1950	204	72	optimum	optimum	ADJ
iajs-1950	204	73	model	model	NOUN
iajs-1950	204	74	parameters	parameter	NOUN
iajs-1950	204	75	as	as	SCONJ
iajs-1950	204	76	is	be	AUX
iajs-1950	204	77	the	the	DET
iajs-1950	204	78	case	case	NOUN
iajs-1950	204	79	with	with	ADP
iajs-1950	204	80	the	the	DET
iajs-1950	204	81	mlp	mlp	NOUN
iajs-1950	204	82	.	.	PUNCT
iajs-1950	205	1	this	this	PRON
iajs-1950	205	2	represents	represent	VERB
iajs-1950	205	3	approximately	approximately	ADV
iajs-1950	205	4	a	a	DET
iajs-1950	205	5	86.2	86.2	NUM
iajs-1950	205	6	%	%	NOUN
iajs-1950	205	7	lesser	less	ADJ
iajs-1950	205	8	time	time	NOUN
iajs-1950	205	9	.	.	PUNCT
iajs-1950	206	1	references	reference	NOUN
iajs-1950	206	2	1	1	NUM
iajs-1950	206	3	.	.	PUNCT
iajs-1950	207	1	leo	leo	PROPN
iajs-1950	207	2	,	,	PUNCT
iajs-1950	207	3	m	m	PROPN
iajs-1950	207	4	;	;	PUNCT
iajs-1950	207	5	spagnolo	spagnolo	PROPN
iajs-1950	207	6	,	,	PUNCT
iajs-1950	207	7	p	p	X
iajs-1950	207	8	;	;	PUNCT
iajs-1950	207	9	attolico	attolico	PRON
iajs-1950	207	10	,	,	PUNCT
iajs-1950	207	11	g	g	PROPN
iajs-1950	207	12	and	and	CCONJ
iajs-1950	207	13	distante	distante	PROPN
iajs-1950	207	14	,	,	PUNCT
iajs-1950	207	15	a.	a.	NOUN
iajs-1950	207	16	(	(	PUNCT
iajs-1950	207	17	2003	2003	NUM
iajs-1950	207	18	)	)	PUNCT
iajs-1950	207	19	shape	shape	NOUN
iajs-1950	207	20	based	base	VERB
iajs-1950	207	21	people	people	NOUN
iajs-1950	207	22	detection	detection	NOUN
iajs-1950	207	23	for	for	ADP
iajs-1950	207	24	visual	visual	ADJ
iajs-1950	207	25	surveillance	surveillance	NOUN
iajs-1950	207	26	systems	system	NOUN
iajs-1950	207	27	,	,	PUNCT
iajs-1950	207	28	.	.	PUNCT
iajs-1950	208	1	2	2	X
iajs-1950	208	2	.	.	X
iajs-1950	208	3	parekh	parekh	PROPN
iajs-1950	208	4	,	,	PUNCT
iajs-1950	208	5	h.	h.	PROPN
iajs-1950	208	6	s	s	PROPN
iajs-1950	208	7	;	;	PUNCT
iajs-1950	208	8	thakore	thakore	ADV
iajs-1950	208	9	,	,	PUNCT
iajs-1950	208	10	d.	d.	PROPN
iajs-1950	208	11	g	g	PROPN
iajs-1950	208	12	and	and	CCONJ
iajs-1950	208	13	jaliya	jaliya	PROPN
iajs-1950	208	14	,	,	PUNCT
iajs-1950	208	15	u.k	u.k	PROPN
iajs-1950	208	16	.	.	PROPN
iajs-1950	208	17	(	(	PUNCT
iajs-1950	208	18	2014	2014	NUM
iajs-1950	208	19	)	)	PUNCT
iajs-1950	208	20	a	a	DET
iajs-1950	208	21	survey	survey	NOUN
iajs-1950	208	22	on	on	ADP
iajs-1950	208	23	object	object	NOUN
iajs-1950	208	24	detection	detection	NOUN
iajs-1950	208	25	and	and	CCONJ
iajs-1950	208	26	tracking	tracking	NOUN
iajs-1950	208	27	methods	method	NOUN
iajs-1950	208	28	,	,	PUNCT
iajs-1950	208	29	international	international	ADJ
iajs-1950	208	30	journal	journal	NOUN
iajs-1950	208	31	of	of	ADP
iajs-1950	208	32	innovative	innovative	ADJ
iajs-1950	208	33	research	research	NOUN
iajs-1950	208	34	in	in	ADP
iajs-1950	208	35	computer	computer	NOUN
iajs-1950	208	36	,	,	PUNCT
iajs-1950	208	37	.	.	PUNCT
iajs-1950	209	1	3	3	X
iajs-1950	209	2	.	.	X
iajs-1950	209	3	dhaware	dhaware	PROPN
iajs-1950	209	4	,	,	PUNCT
iajs-1950	209	5	c.	c.	PROPN
iajs-1950	209	6	k	k	PROPN
iajs-1950	209	7	;	;	PUNCT
iajs-1950	209	8	wanjale	wanjale	NOUN
iajs-1950	209	9	,	,	PUNCT
iajs-1950	209	10	h.	h.	PROPN
iajs-1950	209	11	and	and	CCONJ
iajs-1950	209	12	survey	survey	PROPN
iajs-1950	209	13	(	(	PUNCT
iajs-1950	209	14	2016	2016	NUM
iajs-1950	209	15	)	)	PUNCT
iajs-1950	209	16	on	on	ADP
iajs-1950	209	17	image	image	NOUN
iajs-1950	209	18	classification	classification	NOUN
iajs-1950	209	19	methods	method	NOUN
iajs-1950	209	20	in	in	ADP
iajs-1950	209	21	image	image	NOUN
iajs-1950	209	22	processing	processing	NOUN
iajs-1950	209	23	,	,	PUNCT
iajs-1950	209	24	international	international	ADJ
iajs-1950	209	25	journal	journal	NOUN
iajs-1950	209	26	of	of	ADP
iajs-1950	209	27	computer	computer	NOUN
iajs-1950	209	28	science	science	NOUN
iajs-1950	209	29	trends	trend	NOUN
iajs-1950	209	30	and	and	CCONJ
iajs-1950	209	31	technology	technology	NOUN
iajs-1950	209	32	,	,	PUNCT
iajs-1950	209	33	.	.	PUNCT
iajs-1950	210	1	4	4	X
iajs-1950	210	2	.	.	X
iajs-1950	210	3	bianchini	bianchini	PROPN
iajs-1950	210	4	,	,	PUNCT
iajs-1950	210	5	m	m	PROPN
iajs-1950	210	6	and	and	CCONJ
iajs-1950	210	7	scarselli	scarselli	NOUN
iajs-1950	210	8	,	,	PUNCT
iajs-1950	210	9	f.jk	f.jk	PROPN
iajs-1950	210	10	,	,	PUNCT
iajs-1950	210	11	x	x	PROPN
iajs-1950	210	12	2014	2014	NUM
iajs-1950	210	13	on	on	ADP
iajs-1950	210	14	the	the	DET
iajs-1950	210	15	complexity	complexity	NOUN
iajs-1950	210	16	of	of	ADP
iajs-1950	210	17	neural	neural	ADJ
iajs-1950	210	18	network	network	NOUN
iajs-1950	210	19	classifiers	classifier	NOUN
iajs-1950	210	20	:	:	PUNCT
iajs-1950	210	21	a	a	DET
iajs-1950	210	22	comparison	comparison	NOUN
iajs-1950	210	23	between	between	ADP
iajs-1950	210	24	shallow	shallow	ADJ
iajs-1950	210	25	and	and	CCONJ
iajs-1950	210	26	deep	deep	ADJ
iajs-1950	210	27	architectures	architecture	NOUN
iajs-1950	210	28	,	,	PUNCT
iajs-1950	210	29	ieee	ieee	NOUN
iajs-1950	210	30	transactions	transaction	NOUN
iajs-1950	210	31	on	on	ADP
iajs-1950	210	32	neural	neural	ADJ
iajs-1950	210	33	networks	network	NOUN
iajs-1950	210	34	and	and	CCONJ
iajs-1950	210	35	learning	learn	VERB
iajs-1950	210	36	sysyems	sysyem	NOUN
iajs-1950	210	37	,	,	PUNCT
iajs-1950	210	38	.	.	PUNCT
iajs-1950	211	1	5	5	X
iajs-1950	211	2	.	.	X
iajs-1950	211	3	kamavisdar	kamavisdar	NOUN
iajs-1950	211	4	,	,	PUNCT
iajs-1950	211	5	p	p	X
iajs-1950	211	6	;	;	PUNCT
iajs-1950	211	7	saluja	saluja	PROPN
iajs-1950	211	8	,	,	PUNCT
iajs-1950	211	9	s	s	PROPN
iajs-1950	211	10	;	;	PUNCT
iajs-1950	211	11	saluja	saluja	NOUN
iajs-1950	211	12	,	,	PUNCT
iajs-1950	211	13	and	and	CCONJ
iajs-1950	211	14	agrawal	agrawal	PROPN
iajs-1950	211	15	,	,	PUNCT
iajs-1950	211	16	s	s	PART
iajs-1950	211	17	;	;	PUNCT
iajs-1950	211	18	(	(	PUNCT
iajs-1950	211	19	2013	2013	NUM
iajs-1950	211	20	)	)	PUNCT
iajs-1950	211	21	a	a	DET
iajs-1950	211	22	survey	survey	NOUN
iajs-1950	211	23	on	on	ADP
iajs-1950	211	24	image	image	NOUN
iajs-1950	211	25	classification	classification	NOUN
iajs-1950	211	26	approaches	approach	NOUN
iajs-1950	211	27	and	and	CCONJ
iajs-1950	211	28	techniques	technique	NOUN
iajs-1950	211	29	international	international	ADJ
iajs-1950	211	30	journal	journal	NOUN
iajs-1950	211	31	of	of	ADP
iajs-1950	211	32	advanced	advanced	ADJ
iajs-1950	211	33	research	research	NOUN
iajs-1950	211	34	in	in	ADP
iajs-1950	211	35	computer	computer	NOUN
iajs-1950	211	36	and	and	CCONJ
iajs-1950	211	37	communication	communication	NOUN
iajs-1950	211	38	engineering	engineering	NOUN
iajs-1950	211	39	,	,	PUNCT
iajs-1950	211	40	.	.	PUNCT
iajs-1950	212	1	6	6	X
iajs-1950	212	2	.	.	X
iajs-1950	213	1	darlin	darlin	INTJ
iajs-1950	213	2	,	,	PUNCT
iajs-1950	213	3	r	r	NOUN
iajs-1950	213	4	;	;	PUNCT
iajs-1950	213	5	nisha	nisha	PROPN
iajs-1950	213	6	,	,	PUNCT
iajs-1950	213	7	r	r	PROPN
iajs-1950	213	8	;	;	PUNCT
iajs-1950	213	9	gowri	gowri	PROPN
iajs-1950	213	10	,	,	PUNCT
iajs-1950	213	11	v	v	NOUN
iajs-1950	213	12	and	and	CCONJ
iajs-1950	213	13	scholar	scholar	NOUN
iajs-1950	213	14	,	,	PUNCT
iajs-1950	213	15	pg	pg	PROPN
iajs-1950	213	16	(	(	PUNCT
iajs-1950	213	17	2014	2014	NUM
iajs-1950	213	18	)	)	PUNCT
iajs-1950	213	19	a	a	DET
iajs-1950	213	20	survey	survey	NOUN
iajs-1950	213	21	on	on	ADP
iajs-1950	213	22	image	image	NOUN
iajs-1950	213	23	classification	classification	NOUN
iajs-1950	213	24	methods	method	NOUN
iajs-1950	213	25	and	and	CCONJ
iajs-1950	213	26	techniques	technique	NOUN
iajs-1950	213	27	for	for	ADP
iajs-1950	213	28	improving	improve	VERB
iajs-1950	213	29	accuracy	accuracy	NOUN
iajs-1950	213	30	,	,	PUNCT
iajs-1950	213	31	international	international	ADJ
iajs-1950	213	32	journal	journal	NOUN
iajs-1950	213	33	of	of	ADP
iajs-1950	213	34	advanced	advanced	ADJ
iajs-1950	213	35	research	research	NOUN
iajs-1950	213	36	in	in	ADP
iajs-1950	213	37	computer	computer	NOUN
iajs-1950	213	38	engineering	engineering	NOUN
iajs-1950	213	39	and	and	CCONJ
iajs-1950	213	40	technology	technology	NOUN
iajs-1950	213	41	.	.	PUNCT
iajs-1950	214	1	7	7	X
iajs-1950	214	2	.	.	NUM
iajs-1950	214	3	naswale	naswale	ADJ
iajs-1950	214	4	,	,	PUNCT
iajs-1950	214	5	p	p	X
iajs-1950	214	6	;	;	PUNCT
iajs-1950	214	7	ajmire	ajmire	NOUN
iajs-1950	214	8	,	,	PUNCT
iajs-1950	214	9	e	e	NOUN
iajs-1950	214	10	and	and	CCONJ
iajs-1950	214	11	image	image	NOUN
iajs-1950	214	12	classification	classification	NOUN
iajs-1950	214	13	techniques-(2016	techniques-(2016	NOUN
iajs-1950	214	14	)	)	PUNCT
iajs-1950	214	15	a	a	DET
iajs-1950	214	16	survey	survey	NOUN
iajs-1950	214	17	international	international	ADJ
iajs-1950	214	18	journal	journal	NOUN
iajs-1950	214	19	of	of	ADP
iajs-1950	214	20	emerging	emerge	VERB
iajs-1950	214	21	trends	trend	NOUN
iajs-1950	214	22	and	and	CCONJ
iajs-1950	214	23	technology	technology	NOUN
iajs-1950	214	24	in	in	ADP
iajs-1950	214	25	computer	computer	NOUN
iajs-1950	214	26	science	science	NOUN
iajs-1950	214	27	.	.	PUNCT
iajs-1950	215	1	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	215	2	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN
iajs-1950	215	3	computer	computer	NOUN
iajs-1950	215	4	|	|	ADV
iajs-1950	215	5	221	221	NUM
iajs-1950	215	6	2018	2018	NUM
iajs-1950	215	7	(	(	PUNCT
iajs-1950	215	8	عام	عام	ADP
iajs-1950	215	9	2	2	NUM
iajs-1950	215	10	(	(	PUNCT
iajs-1950	215	11	العدد	العدد	PROPN
iajs-1950	215	12	)	)	PUNCT
iajs-1950	215	13	31لمجلد	31لمجلد	NUM
iajs-1950	215	14	)	)	PUNCT
iajs-1950	216	1	ا	ا	X
iajs-1950	217	1	مجلة	مجلة	NOUN
iajs-1950	217	2	إبن	إبن	VERB
iajs-1950	217	3	الهيثم	الهيثم	ADJ
iajs-1950	217	4	للعلوم	للعلوم	NOUN
iajs-1950	217	5	الصرفة	الصرفة	NOUN
iajs-1950	218	1	و	و	PRON
iajs-1950	218	2	التطبيقية	التطبيقية	ADJ
iajs-1950	218	3	ibn	ibn	PROPN
iajs-1950	218	4	al	al	PROPN
iajs-1950	218	5	-	-	PUNCT
iajs-1950	218	6	haitham	haitham	PROPN
iajs-1950	218	7	j.	j.	PROPN
iajs-1950	218	8	for	for	ADP
iajs-1950	218	9	pure	pure	PROPN
iajs-1950	218	10	&	&	CCONJ
iajs-1950	218	11	appl	appl	PROPN
iajs-1950	218	12	.	.	PUNCT
iajs-1950	219	1	sci	sci	PROPN
iajs-1950	219	2	.	.	PUNCT
iajs-1950	220	1	vol.31	vol.31	PROPN
iajs-1950	220	2	(	(	PUNCT
iajs-1950	220	3	2	2	NUM
iajs-1950	220	4	)	)	PUNCT
iajs-1950	220	5	2018	2018	NUM
iajs-1950	220	6	8	8	NUM
iajs-1950	220	7	.	.	PUNCT
iajs-1950	221	1	siddhartha	siddhartha	PROPN
iajs-1950	221	2	,	,	PUNCT
iajs-1950	221	3	s	s	PROPN
iajs-1950	221	4	;	;	PUNCT
iajs-1950	221	5	girish	girish	PROPN
iajs-1950	221	6	,	,	PUNCT
iajs-1950	221	7	n	n	CCONJ
iajs-1950	221	8	;	;	PUNCT
iajs-1950	221	9	jajnyaseni	jajnyaseni	ADJ
iajs-1950	221	10	,	,	PUNCT
iajs-1950	221	11	m	m	PROPN
iajs-1950	221	12	and	and	CCONJ
iajs-1950	221	13	sayan	sayan	ADJ
iajs-1950	221	14	,	,	PUNCT
iajs-1950	221	15	k	k	X
iajs-1950	221	16	;	;	PUNCT
iajs-1950	221	17	(	(	PUNCT
iajs-1950	221	18	2014	2014	NUM
iajs-1950	221	19	)	)	PUNCT
iajs-1950	221	20	c.	c.	NOUN
iajs-1950	222	1	a	a	DET
iajs-1950	222	2	survey	survey	NOUN
iajs-1950	222	3	of	of	ADP
iajs-1950	222	4	image	image	NOUN
iajs-1950	222	5	classification	classification	NOUN
iajs-1950	222	6	methods	method	NOUN
iajs-1950	222	7	and	and	CCONJ
iajs-1950	222	8	techniques	technique	NOUN
iajs-1950	222	9	,	,	PUNCT
iajs-1950	222	10	international	international	ADJ
iajs-1950	222	11	conference	conference	NOUN
iajs-1950	222	12	on	on	ADP
iajs-1950	222	13	control	control	NOUN
iajs-1950	222	14	,	,	PUNCT
iajs-1950	222	15	instrumentation	instrumentation	NOUN
iajs-1950	222	16	,	,	PUNCT
iajs-1950	222	17	communication	communication	NOUN
iajs-1950	222	18	and	and	CCONJ
iajs-1950	222	19	computational	computational	ADJ
iajs-1950	222	20	technologies	technology	NOUN
iajs-1950	222	21	,	,	PUNCT
iajs-1950	222	22	.	.	PUNCT
iajs-1950	223	1	9	9	X
iajs-1950	223	2	.	.	X
iajs-1950	223	3	jha	jha	PROPN
iajs-1950	223	4	,	,	PUNCT
iajs-1950	223	5	g	g	PROPN
iajs-1950	223	6	and	and	CCONJ
iajs-1950	223	7	artificial	artificial	PROPN
iajs-1950	223	8	k.	k.	PROPN
iajs-1950	223	9	neural	neural	PROPN
iajs-1950	223	10	(	(	PUNCT
iajs-1950	223	11	2010	2010	NUM
iajs-1950	223	12	)	)	PUNCT
iajs-1950	223	13	.	.	PUNCT
iajs-1950	224	1	networks	network	NOUN
iajs-1950	224	2	,	,	PUNCT
iajs-1950	224	3	indian	indian	ADJ
iajs-1950	224	4	agricultural	agricultural	ADJ
iajs-1950	224	5	research	research	PROPN
iajs-1950	224	6	institute	institute	PROPN
iajs-1950	224	7	library	library	PROPN
iajs-1950	224	8	avenue	avenue	PROPN
iajs-1950	224	9	,	,	PUNCT
iajs-1950	224	10	new	new	PROPN
iajs-1950	224	11	delhi	delhi	PROPN
iajs-1950	224	12	,	,	PUNCT
iajs-1950	224	13	10	10	NUM
iajs-1950	224	14	.	.	PUNCT
iajs-1950	225	1	wang	wang	PROPN
iajs-1950	225	2	,	,	PUNCT
iajs-1950	225	3	fu	fu	PROPN
iajs-1950	225	4	and	and	CCONJ
iajs-1950	225	5	wang	wang	PROPN
iajs-1950	225	6	,	,	PUNCT
iajs-1950	225	7	fe	fe	X
iajs-1950	225	8	;	;	PUNCT
iajs-1950	225	9	and	and	CCONJ
iajs-1950	225	10	(	(	PUNCT
iajs-1950	225	11	2014	2014	NUM
iajs-1950	225	12	)	)	PUNCT
iajs-1950	225	13	rapidly	rapidly	ADV
iajs-1950	225	14	void	void	VERB
iajs-1950	225	15	detection	detection	NOUN
iajs-1950	225	16	in	in	ADP
iajs-1950	225	17	tsvs	tsvs	NOUN
iajs-1950	225	18	with	with	ADP
iajs-1950	225	19	2	2	NUM
iajs-1950	225	20	-	-	SYM
iajs-1950	225	21	d	d	NOUN
iajs-1950	225	22	x	x	NOUN
iajs-1950	225	23	-	-	NOUN
iajs-1950	225	24	ray	ray	NOUN
iajs-1950	225	25	imaging	imaging	NOUN
iajs-1950	225	26	and	and	CCONJ
iajs-1950	225	27	artificial	artificial	ADJ
iajs-1950	225	28	neural	neural	ADJ
iajs-1950	225	29	networks	network	NOUN
iajs-1950	225	30	,	,	PUNCT
iajs-1950	225	31	ieee	ieee	NOUN
iajs-1950	225	32	transactions	transaction	NOUN
iajs-1950	225	33	on	on	ADP
iajs-1950	225	34	semiconductor	semiconductor	NOUN
iajs-1950	225	35	manufacturing	manufacturing	NOUN
iajs-1950	225	36	,	,	PUNCT
iajs-1950	225	37	.	.	PUNCT
iajs-1950	226	1	11	11	NUM
iajs-1950	226	2	.	.	X
iajs-1950	227	1	krenker	krenker	PROPN
iajs-1950	227	2	,	,	PUNCT
iajs-1950	227	3	a	a	PRON
iajs-1950	227	4	and	and	CCONJ
iajs-1950	227	5	bešter	bešter	PROPN
iajs-1950	227	6	,	,	PUNCT
iajs-1950	227	7	j.	j.	PROPN
iajs-1950	227	8	a.	a.	PROPN
iajs-1950	227	9	(	(	PUNCT
iajs-1950	227	10	2011	2011	NUM
iajs-1950	227	11	)	)	PUNCT
iajs-1950	227	12	kos	kos	PROPN
iajs-1950	227	13	,	,	PUNCT
iajs-1950	227	14	introduction	introduction	NOUN
iajs-1950	227	15	to	to	ADP
iajs-1950	227	16	the	the	DET
iajs-1950	227	17	artificial	artificial	ADJ
iajs-1950	227	18	neural	neural	ADJ
iajs-1950	227	19	networks	network	NOUN
iajs-1950	227	20	,	,	PUNCT
iajs-1950	227	21	artificial	artificial	ADJ
iajs-1950	227	22	neural	neural	ADJ
iajs-1950	227	23	networks	network	NOUN
iajs-1950	227	24	methodological	methodological	ADJ
iajs-1950	227	25	advances	advance	NOUN
iajs-1950	227	26	and	and	CCONJ
iajs-1950	227	27	biomedical	biomedical	ADJ
iajs-1950	227	28	applications	application	NOUN
iajs-1950	227	29	,	,	PUNCT
iajs-1950	227	30	12	12	NUM
iajs-1950	227	31	.	.	PUNCT
iajs-1950	228	1	xie	xie	PROPN
iajs-1950	228	2	,	,	PUNCT
iajs-1950	228	3	t	t	PROPN
iajs-1950	228	4	and	and	CCONJ
iajs-1950	228	5	wilamowski	wilamowski	PROPN
iajs-1950	228	6	,	,	PUNCT
iajs-1950	228	7	h.	h.	PROPN
iajs-1950	228	8	b	b	PROPN
iajs-1950	228	9	;	;	PUNCT
iajs-1950	228	10	(	(	PUNCT
iajs-1950	228	11	2011	2011	NUM
iajs-1950	228	12	)	)	PUNCT
iajs-1950	228	13	.	.	PUNCT
iajs-1950	229	1	comparison	comparison	NOUN
iajs-1950	229	2	between	between	ADP
iajs-1950	229	3	traditional	traditional	ADJ
iajs-1950	229	4	neural	neural	ADJ
iajs-1950	229	5	networks	network	NOUN
iajs-1950	229	6	and	and	CCONJ
iajs-1950	229	7	radial	radial	ADJ
iajs-1950	229	8	basis	basis	NOUN
iajs-1950	229	9	function	function	NOUN
iajs-1950	229	10	networks	network	NOUN
iajs-1950	229	11	,	,	PUNCT
iajs-1950	229	12	13	13	NUM
iajs-1950	229	13	.	.	PUNCT
iajs-1950	229	14	sereno	sereno	PROPN
iajs-1950	229	15	,	,	PUNCT
iajs-1950	229	16	f	f	X
iajs-1950	229	17	;	;	PUNCT
iajs-1950	229	18	marques	marques	PROPN
iajs-1950	229	19	,	,	PUNCT
iajs-1950	229	20	j.	j.	PROPN
iajs-1950	229	21	p;matos	p;matos	PROPN
iajs-1950	229	22	,	,	PUNCT
iajs-1950	229	23	a	a	PRON
iajs-1950	229	24	and	and	CCONJ
iajs-1950	229	25	bernardes	bernarde	NOUN
iajs-1950	229	26	,	,	PUNCT
iajs-1950	229	27	j.	j.	PROPN
iajs-1950	229	28	a	a	PROPN
iajs-1950	229	29	(	(	PUNCT
iajs-1950	229	30	2000	2000	NUM
iajs-1950	229	31	)	)	PUNCT
iajs-1950	229	32	comparative	comparative	ADJ
iajs-1950	229	33	study	study	NOUN
iajs-1950	229	34	of	of	ADP
iajs-1950	229	35	mlp	mlp	PROPN
iajs-1950	229	36	and	and	CCONJ
iajs-1950	229	37	rbf	rbf	PROPN
iajs-1950	229	38	neural	neural	ADJ
iajs-1950	229	39	nets	net	NOUN
iajs-1950	229	40	in	in	ADP
iajs-1950	229	41	the	the	DET
iajs-1950	229	42	estimation	estimation	NOUN
iajs-1950	229	43	of	of	ADP
iajs-1950	229	44	the	the	DET
iajs-1950	229	45	foetal	foetal	ADJ
iajs-1950	229	46	weight	weight	NOUN
iajs-1950	229	47	and	and	CCONJ
iajs-1950	229	48	length	length	NOUN
iajs-1950	229	49	,	,	PUNCT
iajs-1950	229	50	14	14	NUM
iajs-1950	229	51	.	.	PUNCT
iajs-1950	230	1	alex	alex	PROPN
iajs-1950	230	2	,	,	PUNCT
iajs-1950	230	3	s	s	PART
iajs-1950	230	4	and	and	CCONJ
iajs-1950	230	5	wahi	wahi	ADJ
iajs-1950	230	6	,	,	PUNCT
iajs-1950	230	7	a	a	PRON
iajs-1950	230	8	;	;	PUNCT
iajs-1950	230	9	(	(	PUNCT
iajs-1950	230	10	2014	2014	NUM
iajs-1950	230	11	)	)	PUNCT
iajs-1950	230	12	.	.	PUNCT
iajs-1950	231	1	bsfd	bsfd	ADJ
iajs-1950	231	2	:	:	PUNCT
iajs-1950	231	3	background	background	NOUN
iajs-1950	231	4	subtraction	subtraction	NOUN
iajs-1950	231	5	frame	frame	NOUN
iajs-1950	231	6	difference	difference	NOUN
iajs-1950	231	7	algorithm	algorithm	NOUN
iajs-1950	231	8	for	for	ADP
iajs-1950	231	9	moving	move	VERB
iajs-1950	231	10	object	object	NOUN
iajs-1950	231	11	detection	detection	NOUN
iajs-1950	231	12	and	and	CCONJ
iajs-1950	231	13	extraction	extraction	NOUN
iajs-1950	231	14	,	,	PUNCT
iajs-1950	231	15	journal	journal	NOUN
iajs-1950	231	16	of	of	ADP
iajs-1950	231	17	theoretical	theoretical	ADJ
iajs-1950	231	18	and	and	CCONJ
iajs-1950	231	19	applied	apply	VERB
iajs-1950	231	20	information	information	NOUN
iajs-1950	231	21	technology	technology	NOUN
iajs-1950	231	22	.	.	PUNCT
iajs-1950	232	1	15	15	NUM
iajs-1950	232	2	.	.	X
iajs-1950	232	3	xi	xi	PROPN
iajs-1950	232	4	-	-	PUNCT
iajs-1950	232	5	mei	mei	PROPN
iajs-1950	232	6	,	,	PUNCT
iajs-1950	232	7	l	l	PROPN
iajs-1950	232	8	;	;	PUNCT
iajs-1950	232	9	xiao	xiao	PROPN
iajs-1950	232	10	-	-	PUNCT
iajs-1950	232	11	hui	hui	PROPN
iajs-1950	232	12	,	,	PUNCT
iajs-1950	232	13	y	y	PROPN
iajs-1950	232	14	;	;	PUNCT
iajs-1950	232	15	qian	qian	PROPN
iajs-1950	232	16	,	,	PUNCT
iajs-1950	232	17	z	z	X
iajs-1950	232	18	;	;	PUNCT
iajs-1950	232	19	and	and	CCONJ
iajs-1950	232	20	hong	hong	PROPN
iajs-1950	232	21	-	-	PUNCT
iajs-1950	232	22	mi	mi	PROPN
iajs-1950	232	23	,	,	PUNCT
iajs-1950	232	24	g	g	NOUN
iajs-1950	232	25	;	;	PUNCT
iajs-1950	232	26	(	(	PUNCT
iajs-1950	232	27	2012	2012	NUM
iajs-1950	232	28	)	)	PUNCT
iajs-1950	232	29	application	application	NOUN
iajs-1950	232	30	of	of	ADP
iajs-1950	232	31	rbf	rbf	PROPN
iajs-1950	232	32	neural	neural	ADJ
iajs-1950	232	33	network	network	NOUN
iajs-1950	232	34	in	in	ADP
iajs-1950	232	35	fault	fault	NOUN
iajs-1950	232	36	diagnosis	diagnosis	NOUN
iajs-1950	232	37	for	for	ADP
iajs-1950	232	38	transmission	transmission	NOUN
iajs-1950	232	39	gear	gear	NOUN
iajs-1950	232	40	,	,	PUNCT
iajs-1950	232	41	advanced	advanced	ADJ
iajs-1950	232	42	materials	material	NOUN
iajs-1950	232	43	research	research	NOUN
iajs-1950	232	44	,	,	PUNCT
iajs-1950	232	45	,	,	PUNCT
iajs-1950	232	46	75637568	75637568	NUM
iajs-1950	232	47	.	.	PUNCT
iajs-1950	233	1	https://doi.org/10.30526/31.2.1950	https://doi.org/10.30526/31.2.1950	PROPN