id	sid	tid	token	lemma	pos
azojete-205	1	1	arid	arid	PROPN
azojete-205	1	2	zone	zone	PROPN
azojete-205	1	3	journal	journal	NOUN
azojete-205	1	4	of	of	ADP
azojete-205	1	5	engineering	engineering	NOUN
azojete-205	1	6	,	,	PUNCT
azojete-205	1	7	technology	technology	NOUN
azojete-205	1	8	&	&	CCONJ
azojete-205	1	9	environment	environment	PROPN
azojete-205	1	10	azojete	azojete	PROPN
azojete-205	1	11	june	june	PROPN
azojete-205	1	12	2020	2020	NUM
azojete-205	1	13	.	.	PUNCT
azojete-205	2	1	vol	vol	NOUN
azojete-205	2	2	.	.	PUNCT
azojete-205	3	1	16(2):243	16(2):243	NUM
azojete-205	3	2	-	-	SYM
azojete-205	3	3	254	254	NUM
azojete-205	3	4	published	publish	VERB
azojete-205	3	5	by	by	ADP
azojete-205	3	6	the	the	DET
azojete-205	3	7	faculty	faculty	NOUN
azojete-205	3	8	of	of	ADP
azojete-205	3	9	engineering	engineering	NOUN
azojete-205	3	10	,	,	PUNCT
azojete-205	3	11	university	university	NOUN
azojete-205	3	12	of	of	ADP
azojete-205	3	13	maiduguri	maiduguri	PROPN
azojete-205	3	14	,	,	PUNCT
azojete-205	3	15	maiduguri	maiduguri	PROPN
azojete-205	3	16	,	,	PUNCT
azojete-205	3	17	nigeria	nigeria	PROPN
azojete-205	3	18	.	.	PUNCT
azojete-205	4	1	print	print	PROPN
azojete-205	4	2	issn	issn	PROPN
azojete-205	4	3	:	:	PUNCT
azojete-205	4	4	1596	1596	NUM
azojete-205	4	5	-	-	SYM
azojete-205	4	6	2490	2490	NUM
azojete-205	4	7	,	,	PUNCT
azojete-205	4	8	electronic	electronic	ADJ
azojete-205	4	9	issn	issn	NOUN
azojete-205	4	10	:	:	PUNCT
azojete-205	4	11	2545	2545	NUM
azojete-205	4	12	-	-	SYM
azojete-205	4	13	5818	5818	NUM
azojete-205	4	14	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	4	15	corresponding	correspond	VERB
azojete-205	4	16	author	author	NOUN
azojete-205	4	17	’s	’s	PART
azojete-205	4	18	e	e	NOUN
azojete-205	4	19	-	-	NOUN
azojete-205	4	20	mail	mail	NOUN
azojete-205	4	21	address	address	NOUN
azojete-205	4	22	:	:	PUNCT
azojete-205	4	23	abah@unimaid.edu.ng	abah@unimaid.edu.ng	VERB
azojete-205	4	24	243	243	NUM
azojete-205	4	25	original	original	ADJ
azojete-205	4	26	research	research	NOUN
azojete-205	4	27	article	article	NOUN
azojete-205	4	28	computational	computational	ADJ
azojete-205	4	29	model	model	NOUN
azojete-205	4	30	of	of	ADP
azojete-205	4	31	artificial	artificial	ADJ
azojete-205	4	32	neural	neural	ADJ
azojete-205	4	33	networks	network	NOUN
azojete-205	4	34	and	and	CCONJ
azojete-205	4	35	its	its	PRON
azojete-205	4	36	applications	application	NOUN
azojete-205	4	37	in	in	ADP
azojete-205	4	38	data	datum	NOUN
azojete-205	4	39	mining	mining	NOUN
azojete-205	4	40	j.	j.	PROPN
azojete-205	4	41	abah1	abah1	PROPN
azojete-205	4	42	*	*	PROPN
azojete-205	4	43	,	,	PUNCT
azojete-205	4	44	e.	e.	PROPN
azojete-205	4	45	s.	s.	PROPN
azojete-205	4	46	alu2	alu2	PROPN
azojete-205	4	47	,	,	PUNCT
azojete-205	5	1	a.	a.	PROPN
azojete-205	5	2	e.	e.	PROPN
azojete-205	5	3	chahari3	chahari3	PROPN
azojete-205	5	4	(	(	PUNCT
azojete-205	5	5	1department	1department	NUM
azojete-205	5	6	of	of	ADP
azojete-205	5	7	computer	computer	NOUN
azojete-205	5	8	engineering	engineering	NOUN
azojete-205	5	9	,	,	PUNCT
azojete-205	5	10	university	university	NOUN
azojete-205	5	11	of	of	ADP
azojete-205	5	12	maiduguri	maiduguri	PROPN
azojete-205	5	13	,	,	PUNCT
azojete-205	5	14	maiduguri	maiduguri	PROPN
azojete-205	5	15	,	,	PUNCT
azojete-205	5	16	nigeria	nigeria	PROPN
azojete-205	5	17	2department	2department	NUM
azojete-205	5	18	of	of	ADP
azojete-205	5	19	agricultural	agricultural	ADJ
azojete-205	5	20	economics	economic	NOUN
azojete-205	5	21	and	and	CCONJ
azojete-205	5	22	extension	extension	NOUN
azojete-205	5	23	,	,	PUNCT
azojete-205	5	24	nasarawa	nasarawa	PROPN
azojete-205	5	25	state	state	PROPN
azojete-205	5	26	university	university	PROPN
azojete-205	5	27	,	,	PUNCT
azojete-205	5	28	keffi	keffi	PROPN
azojete-205	5	29	,	,	PUNCT
azojete-205	5	30	shabu	shabu	NOUN
azojete-205	5	31	-	-	PUNCT
azojete-205	5	32	lafia	lafia	NOUN
azojete-205	5	33	campus	campus	NOUN
azojete-205	5	34	,	,	PUNCT
azojete-205	5	35	lafia	lafia	PROPN
azojete-205	5	36	,	,	PUNCT
azojete-205	5	37	nigeria	nigeria	PROPN
azojete-205	6	1	3department	3department	NUM
azojete-205	6	2	of	of	ADP
azojete-205	6	3	general	general	ADJ
azojete-205	6	4	studies	study	NOUN
azojete-205	6	5	education	education	NOUN
azojete-205	6	6	,	,	PUNCT
azojete-205	6	7	school	school	NOUN
azojete-205	6	8	of	of	ADP
azojete-205	6	9	general	general	ADJ
azojete-205	6	10	education	education	NOUN
azojete-205	6	11	,	,	PUNCT
azojete-205	6	12	federal	federal	ADJ
azojete-205	6	13	college	college	NOUN
azojete-205	6	14	of	of	ADP
azojete-205	6	15	education	education	PROPN
azojete-205	6	16	,	,	PUNCT
azojete-205	6	17	yola	yola	PROPN
azojete-205	6	18	,	,	PUNCT
azojete-205	6	19	nigeria	nigeria	PROPN
azojete-205	6	20	)	)	PUNCT
azojete-205	7	1	*	*	PUNCT
azojete-205	7	2	corresponding	correspond	VERB
azojete-205	7	3	author	author	NOUN
azojete-205	7	4	’s	’s	PART
azojete-205	7	5	email	email	NOUN
azojete-205	7	6	address	address	NOUN
azojete-205	7	7	:	:	PUNCT
azojete-205	7	8	abah@unimaid.edu.ng	abah@unimaid.edu.ng	VERB
azojete-205	7	9	1.0	1.0	NUM
azojete-205	7	10	introduction	introduction	NOUN
azojete-205	7	11	as	as	ADV
azojete-205	7	12	long	long	ADV
azojete-205	7	13	as	as	SCONJ
azojete-205	7	14	knowledge	knowledge	NOUN
azojete-205	7	15	is	be	AUX
azojete-205	7	16	another	another	DET
azojete-205	7	17	name	name	NOUN
azojete-205	7	18	of	of	ADP
azojete-205	7	19	power	power	NOUN
azojete-205	7	20	,	,	PUNCT
azojete-205	7	21	many	many	ADJ
azojete-205	7	22	organizations	organization	NOUN
azojete-205	7	23	give	give	VERB
azojete-205	7	24	much	much	ADJ
azojete-205	7	25	importance	importance	NOUN
azojete-205	7	26	to	to	ADP
azojete-205	7	27	knowledge	knowledge	NOUN
azojete-205	7	28	.	.	PUNCT
azojete-205	8	1	when	when	SCONJ
azojete-205	8	2	reaching	reach	VERB
azojete-205	8	3	this	this	DET
azojete-205	8	4	knowledge	knowledge	NOUN
azojete-205	8	5	,	,	PUNCT
azojete-205	8	6	they	they	PRON
azojete-205	8	7	make	make	VERB
azojete-205	8	8	use	use	NOUN
azojete-205	8	9	of	of	ADP
azojete-205	8	10	the	the	DET
azojete-205	8	11	data	datum	NOUN
azojete-205	8	12	in	in	ADP
azojete-205	8	13	their	their	PRON
azojete-205	8	14	databases	database	NOUN
azojete-205	8	15	.	.	PUNCT
azojete-205	9	1	data	datum	NOUN
azojete-205	9	2	is	be	AUX
azojete-205	9	3	important	important	ADJ
azojete-205	9	4	since	since	SCONJ
azojete-205	9	5	it	it	PRON
azojete-205	9	6	enable	enable	VERB
azojete-205	9	7	them	they	PRON
azojete-205	9	8	to	to	PART
azojete-205	9	9	learn	learn	VERB
azojete-205	9	10	from	from	ADP
azojete-205	9	11	the	the	DET
azojete-205	9	12	past	past	NOUN
azojete-205	9	13	and	and	CCONJ
azojete-205	9	14	to	to	PART
azojete-205	9	15	predict	predict	VERB
azojete-205	9	16	future	future	ADJ
azojete-205	9	17	trends	trend	NOUN
azojete-205	9	18	and	and	CCONJ
azojete-205	9	19	behaviours	behaviour	NOUN
azojete-205	9	20	(	(	PUNCT
azojete-205	9	21	larose	larose	PROPN
azojete-205	9	22	,	,	PUNCT
azojete-205	9	23	2005	2005	NUM
azojete-205	9	24	)	)	PUNCT
azojete-205	9	25	.	.	PUNCT
azojete-205	10	1	today	today	NOUN
azojete-205	10	2	,	,	PUNCT
azojete-205	10	3	most	most	ADJ
azojete-205	10	4	of	of	ADP
azojete-205	10	5	the	the	DET
azojete-205	10	6	organizations	organization	NOUN
azojete-205	10	7	use	use	VERB
azojete-205	10	8	the	the	DET
azojete-205	10	9	data	datum	NOUN
azojete-205	10	10	collected	collect	VERB
azojete-205	10	11	in	in	ADP
azojete-205	10	12	their	their	PRON
azojete-205	10	13	databases	database	NOUN
azojete-205	10	14	when	when	SCONJ
azojete-205	10	15	taking	take	VERB
azojete-205	10	16	strategic	strategic	ADJ
azojete-205	10	17	decisions	decision	NOUN
azojete-205	10	18	(	(	PUNCT
azojete-205	10	19	singh	singh	NOUN
azojete-205	10	20	and	and	CCONJ
azojete-205	10	21	chauhan	chauhan	PROPN
azojete-205	10	22	2009	2009	NUM
azojete-205	10	23	)	)	PUNCT
azojete-205	10	24	.	.	PUNCT
azojete-205	11	1	the	the	DET
azojete-205	11	2	process	process	NOUN
azojete-205	11	3	of	of	ADP
azojete-205	11	4	using	use	VERB
azojete-205	11	5	the	the	DET
azojete-205	11	6	data	datum	NOUN
azojete-205	11	7	to	to	PART
azojete-205	11	8	reach	reach	VERB
azojete-205	11	9	this	this	DET
azojete-205	11	10	knowledge	knowledge	NOUN
azojete-205	11	11	consists	consist	VERB
azojete-205	11	12	of	of	ADP
azojete-205	11	13	two	two	NUM
azojete-205	11	14	steps	step	NOUN
azojete-205	11	15	as	as	ADP
azojete-205	11	16	to	to	ADP
azojete-205	11	17	collecting	collect	VERB
azojete-205	11	18	the	the	DET
azojete-205	11	19	data	datum	NOUN
azojete-205	11	20	and	and	CCONJ
azojete-205	11	21	analysing	analyse	VERB
azojete-205	11	22	the	the	DET
azojete-205	11	23	data	datum	NOUN
azojete-205	11	24	.	.	PUNCT
azojete-205	12	1	in	in	ADP
azojete-205	12	2	the	the	DET
azojete-205	12	3	beginning	beginning	NOUN
azojete-205	12	4	,	,	PUNCT
azojete-205	12	5	organizations	organization	NOUN
azojete-205	12	6	are	be	AUX
azojete-205	12	7	faced	face	VERB
azojete-205	12	8	with	with	ADP
azojete-205	12	9	difficulties	difficulty	NOUN
azojete-205	12	10	when	when	SCONJ
azojete-205	12	11	collecting	collect	VERB
azojete-205	12	12	the	the	DET
azojete-205	12	13	data	datum	NOUN
azojete-205	12	14	so	so	SCONJ
azojete-205	12	15	they	they	PRON
azojete-205	12	16	have	have	VERB
azojete-205	12	17	not	not	PART
azojete-205	12	18	enough	enough	ADJ
azojete-205	12	19	data	datum	NOUN
azojete-205	12	20	in	in	ADP
azojete-205	12	21	order	order	NOUN
azojete-205	12	22	to	to	PART
azojete-205	12	23	make	make	VERB
azojete-205	12	24	suitable	suitable	ADJ
azojete-205	12	25	analysis	analysis	NOUN
azojete-205	12	26	(	(	PUNCT
azojete-205	12	27	kartalopoulos	kartalopoulo	NOUN
azojete-205	12	28	and	and	CCONJ
azojete-205	12	29	stamatios	stamatio	NOUN
azojete-205	12	30	,	,	PUNCT
azojete-205	12	31	1996	1996	NUM
azojete-205	12	32	)	)	PUNCT
azojete-205	12	33	.	.	PUNCT
azojete-205	13	1	in	in	ADP
azojete-205	13	2	the	the	DET
azojete-205	13	3	long	long	ADJ
azojete-205	13	4	run	run	NOUN
azojete-205	13	5	,	,	PUNCT
azojete-205	13	6	with	with	ADP
azojete-205	13	7	the	the	DET
azojete-205	13	8	rapid	rapid	ADJ
azojete-205	13	9	computerization	computerization	NOUN
azojete-205	13	10	,	,	PUNCT
azojete-205	13	11	organizations	organization	NOUN
azojete-205	13	12	are	be	AUX
azojete-205	13	13	able	able	ADJ
azojete-205	13	14	to	to	PART
azojete-205	13	15	store	store	VERB
azojete-205	13	16	huge	huge	ADJ
azojete-205	13	17	amount	amount	NOUN
azojete-205	13	18	of	of	ADP
azojete-205	13	19	data	datum	NOUN
azojete-205	13	20	easily	easily	ADV
azojete-205	13	21	.	.	PUNCT
azojete-205	14	1	but	but	CCONJ
azojete-205	14	2	at	at	ADP
azojete-205	14	3	this	this	DET
azojete-205	14	4	time	time	NOUN
azojete-205	14	5	,	,	PUNCT
azojete-205	14	6	they	they	PRON
azojete-205	14	7	are	be	AUX
azojete-205	14	8	faced	face	VERB
azojete-205	14	9	with	with	ADP
azojete-205	14	10	another	another	DET
azojete-205	14	11	problem	problem	NOUN
azojete-205	14	12	when	when	SCONJ
azojete-205	14	13	analysing	analyse	VERB
azojete-205	14	14	and	and	CCONJ
azojete-205	14	15	article	article	NOUN
azojete-205	14	16	information	information	NOUN
azojete-205	14	17	abstract	abstract	ADJ
azojete-205	14	18	data	datum	NOUN
azojete-205	14	19	remain	remain	VERB
azojete-205	14	20	a	a	DET
azojete-205	14	21	very	very	ADV
azojete-205	14	22	important	important	ADJ
azojete-205	14	23	ingredient	ingredient	NOUN
azojete-205	14	24	required	require	VERB
azojete-205	14	25	by	by	ADP
azojete-205	14	26	any	any	DET
azojete-205	14	27	organization	organization	NOUN
azojete-205	14	28	to	to	PART
azojete-205	14	29	make	make	VERB
azojete-205	14	30	informed	informed	ADJ
azojete-205	14	31	decision	decision	NOUN
azojete-205	14	32	as	as	SCONJ
azojete-205	14	33	it	it	PRON
azojete-205	14	34	affects	affect	VERB
azojete-205	14	35	operations	operation	NOUN
azojete-205	14	36	.	.	PUNCT
azojete-205	15	1	companies	company	NOUN
azojete-205	15	2	have	have	AUX
azojete-205	15	3	been	be	AUX
azojete-205	15	4	collecting	collect	VERB
azojete-205	15	5	data	datum	NOUN
azojete-205	15	6	from	from	ADP
azojete-205	15	7	various	various	ADJ
azojete-205	15	8	sources	source	NOUN
azojete-205	15	9	over	over	ADP
azojete-205	15	10	the	the	DET
azojete-205	15	11	decades	decade	NOUN
azojete-205	15	12	bringing	bring	VERB
azojete-205	15	13	about	about	ADP
azojete-205	15	14	a	a	DET
azojete-205	15	15	very	very	ADV
azojete-205	15	16	large	large	ADJ
azojete-205	15	17	volume	volume	NOUN
azojete-205	15	18	of	of	ADP
azojete-205	15	19	data	datum	NOUN
azojete-205	15	20	warehouse	warehouse	NOUN
azojete-205	15	21	.	.	PUNCT
azojete-205	16	1	unfortunately	unfortunately	ADV
azojete-205	16	2	,	,	PUNCT
azojete-205	16	3	most	most	ADJ
azojete-205	16	4	organizations	organization	NOUN
azojete-205	16	5	build	build	VERB
azojete-205	16	6	databases	database	NOUN
azojete-205	16	7	which	which	PRON
azojete-205	16	8	are	be	AUX
azojete-205	16	9	redundant	redundant	ADJ
azojete-205	16	10	and	and	CCONJ
azojete-205	16	11	never	never	ADV
azojete-205	16	12	used	use	VERB
azojete-205	16	13	for	for	ADP
azojete-205	16	14	any	any	DET
azojete-205	16	15	meaningful	meaningful	ADJ
azojete-205	16	16	thing	thing	NOUN
azojete-205	16	17	.	.	PUNCT
azojete-205	17	1	while	while	SCONJ
azojete-205	17	2	few	few	ADJ
azojete-205	17	3	companies	company	NOUN
azojete-205	17	4	use	use	VERB
azojete-205	17	5	the	the	DET
azojete-205	17	6	data	datum	NOUN
azojete-205	17	7	collected	collect	VERB
azojete-205	17	8	in	in	ADP
azojete-205	17	9	their	their	PRON
azojete-205	17	10	databases	database	NOUN
azojete-205	17	11	when	when	SCONJ
azojete-205	17	12	taking	take	VERB
azojete-205	17	13	strategic	strategic	ADJ
azojete-205	17	14	decisions	decision	NOUN
azojete-205	17	15	others	other	NOUN
azojete-205	17	16	barely	barely	ADV
azojete-205	17	17	do	do	VERB
azojete-205	17	18	same	same	ADJ
azojete-205	17	19	.	.	PUNCT
azojete-205	18	1	however	however	ADV
azojete-205	18	2	,	,	PUNCT
azojete-205	18	3	for	for	ADP
azojete-205	18	4	an	an	DET
azojete-205	18	5	organization	organization	NOUN
azojete-205	18	6	to	to	PART
azojete-205	18	7	immensely	immensely	ADV
azojete-205	18	8	derive	derive	VERB
azojete-205	18	9	benefits	benefit	NOUN
azojete-205	18	10	from	from	ADP
azojete-205	18	11	the	the	DET
azojete-205	18	12	massive	massive	ADJ
azojete-205	18	13	data	datum	NOUN
azojete-205	18	14	warehouse	warehouse	NOUN
azojete-205	18	15	,	,	PUNCT
azojete-205	18	16	there	there	PRON
azojete-205	18	17	is	be	VERB
azojete-205	18	18	the	the	DET
azojete-205	18	19	need	need	NOUN
azojete-205	18	20	for	for	ADP
azojete-205	18	21	an	an	DET
azojete-205	18	22	effective	effective	ADJ
azojete-205	18	23	and	and	CCONJ
azojete-205	18	24	efficient	efficient	ADJ
azojete-205	18	25	means	mean	NOUN
azojete-205	18	26	of	of	ADP
azojete-205	18	27	analysing	analyse	VERB
azojete-205	18	28	the	the	DET
azojete-205	18	29	data	datum	NOUN
azojete-205	18	30	with	with	ADP
azojete-205	18	31	a	a	DET
azojete-205	18	32	view	view	NOUN
azojete-205	18	33	to	to	ADP
azojete-205	18	34	extracting	extract	VERB
azojete-205	18	35	meaningful	meaningful	ADJ
azojete-205	18	36	knowledge	knowledge	NOUN
azojete-205	18	37	that	that	PRON
azojete-205	18	38	is	be	AUX
azojete-205	18	39	sufficient	sufficient	ADJ
azojete-205	18	40	to	to	PART
azojete-205	18	41	achieve	achieve	VERB
azojete-205	18	42	organizational	organizational	ADJ
azojete-205	18	43	goal	goal	NOUN
azojete-205	18	44	.	.	PUNCT
azojete-205	19	1	to	to	PART
azojete-205	19	2	achieve	achieve	VERB
azojete-205	19	3	this	this	PRON
azojete-205	19	4	,	,	PUNCT
azojete-205	19	5	artificial	artificial	ADJ
azojete-205	19	6	neural	neural	ADJ
azojete-205	19	7	network	network	NOUN
azojete-205	19	8	(	(	PUNCT
azojete-205	19	9	ann	ann	PROPN
azojete-205	19	10	)	)	PUNCT
azojete-205	19	11	technique	technique	NOUN
azojete-205	19	12	through	through	ADP
azojete-205	19	13	the	the	DET
azojete-205	19	14	concept	concept	NOUN
azojete-205	19	15	known	know	VERB
azojete-205	19	16	as	as	ADP
azojete-205	19	17	data	data	NOUN
azojete-205	19	18	mining	mining	NOUN
azojete-205	19	19	is	be	AUX
azojete-205	19	20	presented	present	VERB
azojete-205	19	21	.	.	PUNCT
azojete-205	20	1	the	the	DET
azojete-205	20	2	paper	paper	NOUN
azojete-205	20	3	reviewed	review	VERB
azojete-205	20	4	artificial	artificial	ADJ
azojete-205	20	5	neural	neural	ADJ
azojete-205	20	6	network	network	NOUN
azojete-205	20	7	technique	technique	NOUN
azojete-205	20	8	for	for	ADP
azojete-205	20	9	data	data	NOUN
azojete-205	20	10	mining	mining	NOUN
azojete-205	20	11	,	,	PUNCT
azojete-205	20	12	examines	examine	VERB
azojete-205	20	13	the	the	DET
azojete-205	20	14	computational	computational	ADJ
azojete-205	20	15	model	model	NOUN
azojete-205	20	16	behind	behind	ADP
azojete-205	20	17	this	this	DET
azojete-205	20	18	technique	technique	NOUN
azojete-205	20	19	and	and	CCONJ
azojete-205	20	20	analysed	analyse	VERB
azojete-205	20	21	its	its	PRON
azojete-205	20	22	use	use	NOUN
azojete-205	20	23	and	and	CCONJ
azojete-205	20	24	application	application	NOUN
azojete-205	20	25	as	as	ADP
azojete-205	20	26	a	a	DET
azojete-205	20	27	predicting	predicting	NOUN
azojete-205	20	28	or	or	CCONJ
azojete-205	20	29	forecasting	forecasting	NOUN
azojete-205	20	30	tool	tool	NOUN
azojete-205	20	31	.	.	PUNCT
azojete-205	21	1	results	result	NOUN
azojete-205	21	2	shows	show	VERB
azojete-205	21	3	that	that	SCONJ
azojete-205	21	4	ann	ann	PROPN
azojete-205	21	5	’	'	PUNCT
azojete-205	21	6	has	have	VERB
azojete-205	21	7	capability	capability	NOUN
azojete-205	21	8	in	in	ADP
azojete-205	21	9	data	datum	NOUN
azojete-205	21	10	management	management	NOUN
azojete-205	21	11	,	,	PUNCT
azojete-205	21	12	analysis	analysis	NOUN
azojete-205	21	13	and	and	CCONJ
azojete-205	21	14	able	able	ADJ
azojete-205	21	15	to	to	PART
azojete-205	21	16	provide	provide	VERB
azojete-205	21	17	desirable	desirable	ADJ
azojete-205	21	18	knowledge	knowledge	NOUN
azojete-205	21	19	for	for	ADP
azojete-205	21	20	management	management	NOUN
azojete-205	21	21	decision	decision	NOUN
azojete-205	21	22	making	make	VERB
azojete-205	21	23	processes	process	NOUN
azojete-205	21	24	.	.	PUNCT
azojete-205	22	1	it	it	PRON
azojete-205	22	2	is	be	AUX
azojete-205	22	3	therefore	therefore	ADV
azojete-205	22	4	recommended	recommend	VERB
azojete-205	22	5	that	that	SCONJ
azojete-205	22	6	data	data	NOUN
azojete-205	22	7	mining	mining	NOUN
azojete-205	22	8	tools	tool	NOUN
azojete-205	22	9	like	like	ADP
azojete-205	22	10	ann	ann	PROPN
azojete-205	22	11	and	and	CCONJ
azojete-205	22	12	others	other	NOUN
azojete-205	22	13	be	be	AUX
azojete-205	22	14	applied	apply	VERB
azojete-205	22	15	to	to	ADP
azojete-205	22	16	organization	organization	NOUN
azojete-205	22	17	’s	’s	PART
azojete-205	22	18	databases	database	NOUN
azojete-205	22	19	which	which	PRON
azojete-205	22	20	hitherto	hitherto	NOUN
azojete-205	22	21	have	have	AUX
azojete-205	22	22	not	not	PART
azojete-205	22	23	been	be	AUX
azojete-205	22	24	minned	minne	VERB
azojete-205	22	25	in	in	ADP
azojete-205	22	26	order	order	NOUN
azojete-205	22	27	to	to	PART
azojete-205	22	28	provide	provide	VERB
azojete-205	22	29	management	management	NOUN
azojete-205	22	30	with	with	ADP
azojete-205	22	31	intelligence	intelligence	NOUN
azojete-205	22	32	for	for	ADP
azojete-205	22	33	decision	decision	NOUN
azojete-205	22	34	making	making	NOUN
azojete-205	22	35	.	.	PUNCT
azojete-205	23	1	©	©	NOUN
azojete-205	23	2	2020	2020	NUM
azojete-205	23	3	faculty	faculty	NOUN
azojete-205	23	4	of	of	ADP
azojete-205	23	5	engineering	engineering	NOUN
azojete-205	23	6	,	,	PUNCT
azojete-205	23	7	university	university	NOUN
azojete-205	23	8	of	of	ADP
azojete-205	23	9	maiduguri	maiduguri	PROPN
azojete-205	23	10	,	,	PUNCT
azojete-205	23	11	nigeria	nigeria	PROPN
azojete-205	23	12	.	.	PUNCT
azojete-205	24	1	all	all	DET
azojete-205	24	2	rights	right	NOUN
azojete-205	24	3	reserved	reserve	VERB
azojete-205	24	4	.	.	PUNCT
azojete-205	24	5	submitted	submit	VERB
azojete-205	24	6	11	11	NUM
azojete-205	24	7	july	july	PROPN
azojete-205	24	8	,	,	PUNCT
azojete-205	24	9	2017	2017	NUM
azojete-205	24	10	revised	revise	VERB
azojete-205	24	11	15	15	NUM
azojete-205	24	12	october	october	PROPN
azojete-205	24	13	,	,	PUNCT
azojete-205	24	14	2019	2019	NUM
azojete-205	24	15	accepted	accept	VERB
azojete-205	24	16	04	04	NUM
azojete-205	24	17	april	april	PROPN
azojete-205	24	18	,	,	PUNCT
azojete-205	24	19	2020	2020	NUM
azojete-205	24	20	keywords	keyword	NOUN
azojete-205	24	21	:	:	PUNCT
azojete-205	24	22	artificial	artificial	ADJ
azojete-205	24	23	neural	neural	ADJ
azojete-205	24	24	network	network	NOUN
azojete-205	24	25	databases	database	VERB
azojete-205	24	26	data	datum	NOUN
azojete-205	24	27	mining	mining	NOUN
azojete-205	24	28	information	information	NOUN
azojete-205	24	29	organizations	organization	NOUN
azojete-205	24	30	mailto	mailto	PROPN
azojete-205	24	31	:	:	PUNCT
azojete-205	24	32	abah@unimaid.edu.ng1	abah@unimaid.edu.ng1	NOUN
azojete-205	24	33	http://www.azojete.com.ng	http://www.azojete.com.ng	ADV
azojete-205	24	34	abah	abah	VERB
azojete-205	24	35	et	et	PROPN
azojete-205	24	36	al	al	PROPN
azojete-205	24	37	:	:	PUNCT
azojete-205	24	38	computational	computational	ADJ
azojete-205	24	39	model	model	NOUN
azojete-205	24	40	of	of	ADP
azojete-205	24	41	artificial	artificial	ADJ
azojete-205	24	42	neural	neural	ADJ
azojete-205	24	43	networks	network	NOUN
azojete-205	24	44	and	and	CCONJ
azojete-205	24	45	its	its	PRON
azojete-205	24	46	applications	application	NOUN
azojete-205	24	47	in	in	ADP
azojete-205	24	48	data	datum	NOUN
azojete-205	24	49	mining	mining	NOUN
azojete-205	24	50	.	.	PUNCT
azojete-205	25	1	azojete,16(2):243	azojete,16(2):243	PROPN
azojete-205	25	2	-	-	PUNCT
azojete-205	25	3	254	254	NUM
azojete-205	25	4	.	.	PUNCT
azojete-205	26	1	issn	issn	PROPN
azojete-205	26	2	1596	1596	NUM
azojete-205	26	3	-	-	SYM
azojete-205	26	4	2490	2490	NUM
azojete-205	26	5	;	;	PUNCT
azojete-205	26	6	e	e	X
azojete-205	26	7	-	-	NOUN
azojete-205	26	8	issn	issn	VERB
azojete-205	26	9	2545	2545	NUM
azojete-205	26	10	-	-	SYM
azojete-205	26	11	5818	5818	NUM
azojete-205	26	12	,	,	PUNCT
azojete-205	26	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	26	14	corresponding	correspond	VERB
azojete-205	26	15	author	author	NOUN
azojete-205	26	16	’s	’s	PART
azojete-205	26	17	e	e	NOUN
azojete-205	26	18	-	-	NOUN
azojete-205	26	19	mail	mail	NOUN
azojete-205	26	20	address	address	NOUN
azojete-205	26	21	:	:	PUNCT
azojete-205	26	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	NOUN
azojete-205	26	23	244	244	NUM
azojete-205	26	24	interpreting	interpret	VERB
azojete-205	26	25	such	such	ADJ
azojete-205	26	26	large	large	ADJ
azojete-205	26	27	datasets	dataset	NOUN
azojete-205	26	28	.	.	PUNCT
azojete-205	27	1	traditional	traditional	ADJ
azojete-205	27	2	methods	method	NOUN
azojete-205	27	3	like	like	ADP
azojete-205	27	4	statistical	statistical	ADJ
azojete-205	27	5	techniques	technique	NOUN
azojete-205	27	6	or	or	CCONJ
azojete-205	27	7	data	datum	NOUN
azojete-205	27	8	management	management	NOUN
azojete-205	27	9	tools	tool	NOUN
azojete-205	27	10	are	be	AUX
azojete-205	27	11	not	not	PART
azojete-205	27	12	sufficient	sufficient	ADJ
azojete-205	27	13	anymore	anymore	ADV
azojete-205	27	14	(	(	PUNCT
azojete-205	27	15	berry	berry	NOUN
azojete-205	27	16	and	and	CCONJ
azojete-205	27	17	linoff	linoff	NOUN
azojete-205	27	18	,	,	PUNCT
azojete-205	27	19	2000	2000	NUM
azojete-205	27	20	)	)	PUNCT
azojete-205	27	21	.	.	PUNCT
azojete-205	28	1	in	in	ADP
azojete-205	28	2	order	order	NOUN
azojete-205	28	3	to	to	PART
azojete-205	28	4	manage	manage	VERB
azojete-205	28	5	this	this	DET
azojete-205	28	6	problem	problem	NOUN
azojete-205	28	7	,	,	PUNCT
azojete-205	28	8	the	the	DET
azojete-205	28	9	technique	technique	NOUN
azojete-205	28	10	called	call	VERB
azojete-205	28	11	data	datum	NOUN
azojete-205	28	12	mining	mining	NOUN
azojete-205	28	13	(	(	PUNCT
azojete-205	28	14	dm	dm	NOUN
azojete-205	28	15	)	)	PUNCT
azojete-205	28	16	has	have	AUX
azojete-205	28	17	been	be	AUX
azojete-205	28	18	discovered	discover	VERB
azojete-205	28	19	to	to	PART
azojete-205	28	20	address	address	VERB
azojete-205	28	21	this	this	DET
azojete-205	28	22	problem	problem	NOUN
azojete-205	28	23	.	.	PUNCT
azojete-205	29	1	according	accord	VERB
azojete-205	29	2	to	to	ADP
azojete-205	29	3	singh	singh	PROPN
azojete-205	29	4	and	and	CCONJ
azojete-205	29	5	chauhan	chauhan	PROPN
azojete-205	29	6	(	(	PUNCT
azojete-205	29	7	2009	2009	NUM
azojete-205	29	8	)	)	PUNCT
azojete-205	29	9	show	show	VERB
azojete-205	29	10	that	that	SCONJ
azojete-205	29	11	data	datum	NOUN
azojete-205	29	12	mining	mining	NOUN
azojete-205	29	13	is	be	AUX
azojete-205	29	14	a	a	DET
azojete-205	29	15	useful	useful	ADJ
azojete-205	29	16	and	and	CCONJ
azojete-205	29	17	powerful	powerful	ADJ
azojete-205	29	18	technology	technology	NOUN
azojete-205	29	19	that	that	PRON
azojete-205	29	20	supports	support	VERB
azojete-205	29	21	organizations	organization	NOUN
azojete-205	29	22	to	to	PART
azojete-205	29	23	derive	derive	VERB
azojete-205	29	24	strategic	strategic	ADJ
azojete-205	29	25	information	information	NOUN
azojete-205	29	26	in	in	ADP
azojete-205	29	27	their	their	PRON
azojete-205	29	28	databases	database	NOUN
azojete-205	29	29	.	.	PUNCT
azojete-205	30	1	it	it	PRON
azojete-205	30	2	has	have	AUX
azojete-205	30	3	been	be	AUX
azojete-205	30	4	defined	define	VERB
azojete-205	30	5	as	as	ADP
azojete-205	30	6	:	:	PUNCT
azojete-205	30	7	“	"	PUNCT
azojete-205	30	8	the	the	DET
azojete-205	30	9	process	process	NOUN
azojete-205	30	10	of	of	ADP
azojete-205	30	11	exploration	exploration	NOUN
azojete-205	30	12	and	and	CCONJ
azojete-205	30	13	analysis	analysis	NOUN
azojete-205	30	14	by	by	ADP
azojete-205	30	15	automatic	automatic	ADJ
azojete-205	30	16	or	or	CCONJ
azojete-205	30	17	semi	semi	ADJ
azojete-205	30	18	-	-	ADJ
azojete-205	30	19	automatic	automatic	ADJ
azojete-205	30	20	means	mean	NOUN
azojete-205	30	21	of	of	ADP
azojete-205	30	22	large	large	ADJ
azojete-205	30	23	quantities	quantity	NOUN
azojete-205	30	24	of	of	ADP
azojete-205	30	25	data	datum	NOUN
azojete-205	30	26	in	in	ADP
azojete-205	30	27	order	order	NOUN
azojete-205	30	28	to	to	PART
azojete-205	30	29	discover	discover	VERB
azojete-205	30	30	meaningful	meaningful	ADJ
azojete-205	30	31	patterns	pattern	NOUN
azojete-205	30	32	and	and	CCONJ
azojete-205	30	33	rules	rule	NOUN
azojete-205	30	34	”	"	PUNCT
azojete-205	30	35	(	(	PUNCT
azojete-205	30	36	berry	berry	NOUN
azojete-205	30	37	and	and	CCONJ
azojete-205	30	38	linoff	linoff	NOUN
azojete-205	30	39	,	,	PUNCT
azojete-205	30	40	1997	1997	NUM
azojete-205	30	41	;	;	PUNCT
azojete-205	30	42	berry	berry	NOUN
azojete-205	30	43	and	and	CCONJ
azojete-205	30	44	linoff	linoff	NOUN
azojete-205	30	45	,	,	PUNCT
azojete-205	30	46	2000	2000	NUM
azojete-205	30	47	)	)	PUNCT
azojete-205	30	48	.	.	PUNCT
azojete-205	31	1	the	the	DET
azojete-205	31	2	expression	expression	NOUN
azojete-205	31	3	“	"	PUNCT
azojete-205	31	4	meaningful	meaningful	ADJ
azojete-205	31	5	patterns	pattern	NOUN
azojete-205	31	6	and	and	CCONJ
azojete-205	31	7	rules	rule	NOUN
azojete-205	31	8	”	"	PUNCT
azojete-205	31	9	implies	imply	VERB
azojete-205	31	10	the	the	DET
azojete-205	31	11	followings	following	NOUN
azojete-205	31	12	;	;	PUNCT
azojete-205	31	13	easily	easily	ADV
azojete-205	31	14	understood	understand	VERB
azojete-205	31	15	by	by	ADP
azojete-205	31	16	humans	human	NOUN
azojete-205	31	17	,	,	PUNCT
azojete-205	31	18	valid	valid	ADJ
azojete-205	31	19	on	on	ADP
azojete-205	31	20	new	new	ADJ
azojete-205	31	21	data	datum	NOUN
azojete-205	31	22	,	,	PUNCT
azojete-205	31	23	potentially	potentially	ADV
azojete-205	31	24	useful	useful	ADJ
azojete-205	31	25	and	and	CCONJ
azojete-205	31	26	novel	novel	NOUN
azojete-205	31	27	.	.	PUNCT
azojete-205	32	1	validating	validate	VERB
azojete-205	32	2	a	a	DET
azojete-205	32	3	hypothesis	hypothesis	NOUN
azojete-205	32	4	that	that	PRON
azojete-205	32	5	the	the	DET
azojete-205	32	6	user	user	NOUN
azojete-205	32	7	wants	want	VERB
azojete-205	32	8	to	to	PART
azojete-205	32	9	prove	prove	VERB
azojete-205	32	10	can	can	AUX
azojete-205	32	11	also	also	ADV
azojete-205	32	12	be	be	AUX
azojete-205	32	13	accepted	accept	VERB
azojete-205	32	14	as	as	ADP
azojete-205	32	15	a	a	DET
azojete-205	32	16	meaningful	meaningful	ADJ
azojete-205	32	17	patterns	pattern	NOUN
azojete-205	32	18	and	and	CCONJ
azojete-205	32	19	rules	rule	NOUN
azojete-205	32	20	(	(	PUNCT
azojete-205	32	21	berry	berry	NOUN
azojete-205	32	22	and	and	CCONJ
azojete-205	32	23	linoff	linoff	NOUN
azojete-205	32	24	,	,	PUNCT
azojete-205	32	25	2000	2000	NUM
azojete-205	32	26	)	)	PUNCT
azojete-205	32	27	.	.	PUNCT
azojete-205	33	1	in	in	ADP
azojete-205	33	2	sum	sum	NOUN
azojete-205	33	3	,	,	PUNCT
azojete-205	33	4	it	it	PRON
azojete-205	33	5	is	be	AUX
azojete-205	33	6	essential	essential	ADJ
azojete-205	33	7	to	to	PART
azojete-205	33	8	derive	derive	VERB
azojete-205	33	9	patterns	pattern	NOUN
azojete-205	33	10	and	and	CCONJ
azojete-205	33	11	rules	rule	NOUN
azojete-205	33	12	that	that	PRON
azojete-205	33	13	help	help	VERB
azojete-205	33	14	us	we	PRON
azojete-205	33	15	to	to	PART
azojete-205	33	16	reach	reach	VERB
azojete-205	33	17	strategic	strategic	ADJ
azojete-205	33	18	and	and	CCONJ
azojete-205	33	19	unimagined	unimagined	ADJ
azojete-205	33	20	information	information	NOUN
azojete-205	33	21	in	in	ADP
azojete-205	33	22	data	datum	NOUN
azojete-205	33	23	mining	mining	NOUN
azojete-205	33	24	.	.	PUNCT
azojete-205	34	1	few	few	ADJ
azojete-205	34	2	organizations	organization	NOUN
azojete-205	34	3	use	use	VERB
azojete-205	34	4	the	the	DET
azojete-205	34	5	data	datum	NOUN
azojete-205	34	6	collected	collect	VERB
azojete-205	34	7	in	in	ADP
azojete-205	34	8	their	their	PRON
azojete-205	34	9	databases	database	NOUN
azojete-205	34	10	when	when	SCONJ
azojete-205	34	11	taking	take	VERB
azojete-205	34	12	strategic	strategic	ADJ
azojete-205	34	13	decisions	decision	NOUN
azojete-205	34	14	.	.	PUNCT
azojete-205	35	1	this	this	PRON
azojete-205	35	2	has	have	AUX
azojete-205	35	3	made	make	VERB
azojete-205	35	4	most	most	ADJ
azojete-205	35	5	organization	organization	NOUN
azojete-205	35	6	’s	’s	PART
azojete-205	35	7	databases	database	NOUN
azojete-205	35	8	redundant	redundant	VERB
azojete-205	35	9	.	.	PUNCT
azojete-205	36	1	the	the	DET
azojete-205	36	2	process	process	NOUN
azojete-205	36	3	of	of	ADP
azojete-205	36	4	using	use	VERB
azojete-205	36	5	accumulated	accumulate	VERB
azojete-205	36	6	data	datum	NOUN
azojete-205	36	7	to	to	PART
azojete-205	36	8	reach	reach	VERB
azojete-205	36	9	knowledge	knowledge	NOUN
azojete-205	36	10	consists	consist	VERB
azojete-205	36	11	of	of	ADP
azojete-205	36	12	two	two	NUM
azojete-205	36	13	steps	step	NOUN
azojete-205	36	14	;	;	PUNCT
azojete-205	36	15	collecting	collect	VERB
azojete-205	36	16	the	the	DET
azojete-205	36	17	data	datum	NOUN
azojete-205	36	18	and	and	CCONJ
azojete-205	36	19	analyzing	analyze	VERB
azojete-205	36	20	the	the	DET
azojete-205	36	21	data	datum	NOUN
azojete-205	36	22	.	.	PUNCT
azojete-205	37	1	the	the	DET
azojete-205	37	2	problem	problem	NOUN
azojete-205	37	3	associated	associate	VERB
azojete-205	37	4	with	with	ADP
azojete-205	37	5	the	the	DET
azojete-205	37	6	process	process	NOUN
azojete-205	37	7	of	of	ADP
azojete-205	37	8	achieving	achieve	VERB
azojete-205	37	9	these	these	DET
azojete-205	37	10	steps	step	NOUN
azojete-205	37	11	are	be	AUX
azojete-205	37	12	first	first	ADJ
azojete-205	37	13	,	,	PUNCT
azojete-205	37	14	most	most	ADJ
azojete-205	37	15	organizations	organization	NOUN
azojete-205	37	16	are	be	AUX
azojete-205	37	17	faced	face	VERB
azojete-205	37	18	with	with	ADP
azojete-205	37	19	difficulties	difficulty	NOUN
azojete-205	37	20	when	when	SCONJ
azojete-205	37	21	collecting	collect	VERB
azojete-205	37	22	the	the	DET
azojete-205	37	23	data	datum	NOUN
azojete-205	37	24	so	so	ADV
azojete-205	37	25	,	,	PUNCT
azojete-205	37	26	they	they	PRON
azojete-205	37	27	have	have	VERB
azojete-205	37	28	not	not	PART
azojete-205	37	29	enough	enough	ADJ
azojete-205	37	30	data	datum	NOUN
azojete-205	37	31	in	in	ADP
azojete-205	37	32	order	order	NOUN
azojete-205	37	33	to	to	PART
azojete-205	37	34	make	make	VERB
azojete-205	37	35	suitable	suitable	ADJ
azojete-205	37	36	analysis	analysis	NOUN
azojete-205	37	37	and	and	CCONJ
azojete-205	37	38	second	second	NOUN
azojete-205	37	39	,	,	PUNCT
azojete-205	37	40	the	the	DET
azojete-205	37	41	technique	technique	NOUN
azojete-205	37	42	of	of	ADP
azojete-205	37	43	analysing	analyse	VERB
azojete-205	37	44	the	the	DET
azojete-205	37	45	collected	collect	VERB
azojete-205	37	46	data	datum	NOUN
azojete-205	37	47	in	in	ADP
azojete-205	37	48	order	order	NOUN
azojete-205	37	49	to	to	PART
azojete-205	37	50	derive	derive	VERB
azojete-205	37	51	meaning	meaning	NOUN
azojete-205	37	52	or	or	CCONJ
azojete-205	37	53	knowledge	knowledge	NOUN
azojete-205	37	54	from	from	ADP
azojete-205	37	55	it	it	PRON
azojete-205	37	56	is	be	AUX
azojete-205	37	57	often	often	ADV
azojete-205	37	58	not	not	PART
azojete-205	37	59	sufficient	sufficient	ADJ
azojete-205	37	60	and	and	CCONJ
azojete-205	37	61	efficient	efficient	ADJ
azojete-205	37	62	to	to	PART
azojete-205	37	63	achieve	achieve	VERB
azojete-205	37	64	the	the	DET
azojete-205	37	65	goal	goal	NOUN
azojete-205	37	66	(	(	PUNCT
azojete-205	37	67	cilimkoviv	cilimkoviv	PROPN
azojete-205	37	68	,	,	PUNCT
azojete-205	37	69	2015	2015	NUM
azojete-205	37	70	)	)	PUNCT
azojete-205	37	71	.	.	PUNCT
azojete-205	38	1	in	in	ADP
azojete-205	38	2	order	order	NOUN
azojete-205	38	3	to	to	PART
azojete-205	38	4	solve	solve	VERB
azojete-205	38	5	the	the	DET
azojete-205	38	6	stated	state	VERB
azojete-205	38	7	problems	problem	NOUN
azojete-205	38	8	,	,	PUNCT
azojete-205	38	9	we	we	PRON
azojete-205	38	10	explore	explore	VERB
azojete-205	38	11	ann	ann	PROPN
azojete-205	38	12	as	as	ADP
azojete-205	38	13	a	a	DET
azojete-205	38	14	data	data	NOUN
azojete-205	38	15	mining	mining	NOUN
azojete-205	38	16	technique	technique	NOUN
azojete-205	38	17	to	to	PART
azojete-205	38	18	bring	bring	VERB
azojete-205	38	19	to	to	PART
azojete-205	38	20	bear	bear	VERB
azojete-205	38	21	,	,	PUNCT
azojete-205	38	22	it	it	PRON
azojete-205	38	23	’s	’	VERB
azojete-205	38	24	capability	capability	NOUN
azojete-205	38	25	in	in	ADP
azojete-205	38	26	data	data	NOUN
azojete-205	38	27	management	management	NOUN
azojete-205	38	28	and	and	CCONJ
azojete-205	38	29	analysis	analysis	NOUN
azojete-205	38	30	and	and	CCONJ
azojete-205	38	31	its	its	PRON
azojete-205	38	32	ability	ability	NOUN
azojete-205	38	33	to	to	PART
azojete-205	38	34	provide	provide	VERB
azojete-205	38	35	desirable	desirable	ADJ
azojete-205	38	36	knowledge	knowledge	NOUN
azojete-205	38	37	for	for	ADP
azojete-205	38	38	informed	informed	ADJ
azojete-205	38	39	management	management	NOUN
azojete-205	38	40	decision	decision	NOUN
azojete-205	38	41	making	make	VERB
azojete-205	38	42	processes	process	NOUN
azojete-205	38	43	.	.	PUNCT
azojete-205	39	1	hence	hence	ADV
azojete-205	39	2	,	,	PUNCT
azojete-205	39	3	we	we	PRON
azojete-205	39	4	present	present	VERB
azojete-205	39	5	ann	ann	PROPN
azojete-205	39	6	as	as	ADP
azojete-205	39	7	a	a	DET
azojete-205	39	8	useful	useful	ADJ
azojete-205	39	9	and	and	CCONJ
azojete-205	39	10	powerful	powerful	ADJ
azojete-205	39	11	data	data	NOUN
azojete-205	39	12	mining	mining	NOUN
azojete-205	39	13	technique	technique	NOUN
azojete-205	39	14	that	that	PRON
azojete-205	39	15	can	can	AUX
azojete-205	39	16	support	support	VERB
azojete-205	39	17	organizations	organization	NOUN
azojete-205	39	18	to	to	PART
azojete-205	39	19	derive	derive	VERB
azojete-205	39	20	strategic	strategic	ADJ
azojete-205	39	21	information	information	NOUN
azojete-205	39	22	from	from	ADP
azojete-205	39	23	their	their	PRON
azojete-205	39	24	databases	database	NOUN
azojete-205	39	25	.	.	PUNCT
azojete-205	40	1	the	the	DET
azojete-205	40	2	rest	rest	NOUN
azojete-205	40	3	of	of	ADP
azojete-205	40	4	this	this	DET
azojete-205	40	5	paper	paper	NOUN
azojete-205	40	6	is	be	AUX
azojete-205	40	7	organized	organize	VERB
azojete-205	40	8	as	as	SCONJ
azojete-205	40	9	follows	follow	VERB
azojete-205	40	10	:	:	PUNCT
azojete-205	40	11	section	section	NOUN
azojete-205	40	12	two	two	NUM
azojete-205	40	13	provides	provide	VERB
azojete-205	40	14	details	detail	NOUN
azojete-205	40	15	about	about	ADP
azojete-205	40	16	ann	ann	PROPN
azojete-205	40	17	;	;	PUNCT
azojete-205	40	18	concept	concept	NOUN
azojete-205	40	19	,	,	PUNCT
azojete-205	40	20	models	model	NOUN
azojete-205	40	21	and	and	CCONJ
azojete-205	40	22	topologies	topology	NOUN
azojete-205	40	23	.	.	PUNCT
azojete-205	41	1	section	section	NOUN
azojete-205	41	2	three	three	NUM
azojete-205	41	3	provides	provide	VERB
azojete-205	41	4	experimental	experimental	ADJ
azojete-205	41	5	procedure	procedure	NOUN
azojete-205	41	6	of	of	ADP
azojete-205	41	7	ann	ann	PROPN
azojete-205	41	8	technique	technique	NOUN
azojete-205	41	9	,	,	PUNCT
azojete-205	41	10	section	section	NOUN
azojete-205	41	11	four	four	NUM
azojete-205	41	12	gives	give	VERB
azojete-205	41	13	the	the	DET
azojete-205	41	14	discussion	discussion	NOUN
azojete-205	41	15	of	of	ADP
azojete-205	41	16	results	result	NOUN
azojete-205	41	17	and	and	CCONJ
azojete-205	41	18	finally	finally	ADV
azojete-205	41	19	,	,	PUNCT
azojete-205	41	20	section	section	NOUN
azojete-205	41	21	five	five	NUM
azojete-205	41	22	gives	give	VERB
azojete-205	41	23	the	the	DET
azojete-205	41	24	summary	summary	NOUN
azojete-205	41	25	,	,	PUNCT
azojete-205	41	26	conclusion	conclusion	NOUN
azojete-205	41	27	and	and	CCONJ
azojete-205	41	28	recommendation	recommendation	NOUN
azojete-205	41	29	.	.	PUNCT
azojete-205	42	1	2	2	X
azojete-205	42	2	.	.	X
azojete-205	42	3	artificial	artificial	ADJ
azojete-205	42	4	neural	neural	ADJ
azojete-205	42	5	networks	network	NOUN
azojete-205	42	6	an	an	DET
azojete-205	42	7	artificial	artificial	ADJ
azojete-205	42	8	neural	neural	ADJ
azojete-205	42	9	network	network	NOUN
azojete-205	42	10	(	(	PUNCT
azojete-205	42	11	ann	ann	PROPN
azojete-205	42	12	)	)	PUNCT
azojete-205	42	13	,	,	PUNCT
azojete-205	42	14	just	just	ADV
azojete-205	42	15	called	call	VERB
azojete-205	42	16	a	a	DET
azojete-205	42	17	"	"	PUNCT
azojete-205	42	18	neural	neural	ADJ
azojete-205	42	19	network	network	NOUN
azojete-205	42	20	"	"	PUNCT
azojete-205	42	21	(	(	PUNCT
azojete-205	42	22	nn	nn	NOUN
azojete-205	42	23	)	)	PUNCT
azojete-205	42	24	,	,	PUNCT
azojete-205	42	25	is	be	AUX
azojete-205	42	26	a	a	DET
azojete-205	42	27	mathematical	mathematical	ADJ
azojete-205	42	28	model	model	NOUN
azojete-205	42	29	or	or	CCONJ
azojete-205	42	30	computational	computational	ADJ
azojete-205	42	31	model	model	NOUN
azojete-205	42	32	based	base	VERB
azojete-205	42	33	on	on	ADP
azojete-205	42	34	biological	biological	ADJ
azojete-205	42	35	neural	neural	ADJ
azojete-205	42	36	networks	network	NOUN
azojete-205	42	37	(	(	PUNCT
azojete-205	42	38	berry	berry	NOUN
azojete-205	42	39	and	and	CCONJ
azojete-205	42	40	linoff	linoff	NOUN
azojete-205	42	41	,	,	PUNCT
azojete-205	42	42	1997	1997	NUM
azojete-205	42	43	)	)	PUNCT
azojete-205	42	44	.	.	PUNCT
azojete-205	43	1	in	in	ADP
azojete-205	43	2	other	other	ADJ
azojete-205	43	3	words	word	NOUN
azojete-205	43	4	,	,	PUNCT
azojete-205	43	5	ann	ann	PROPN
azojete-205	43	6	is	be	AUX
azojete-205	43	7	an	an	DET
azojete-205	43	8	emulation	emulation	NOUN
azojete-205	43	9	of	of	ADP
azojete-205	43	10	biological	biological	ADJ
azojete-205	43	11	neural	neural	ADJ
azojete-205	43	12	system	system	NOUN
azojete-205	43	13	.	.	PUNCT
azojete-205	44	1	it	it	PRON
azojete-205	44	2	consists	consist	VERB
azojete-205	44	3	of	of	ADP
azojete-205	44	4	an	an	DET
azojete-205	44	5	interconnected	interconnected	ADJ
azojete-205	44	6	group	group	NOUN
azojete-205	44	7	of	of	ADP
azojete-205	44	8	artificial	artificial	ADJ
azojete-205	44	9	neurons	neuron	NOUN
azojete-205	44	10	and	and	CCONJ
azojete-205	44	11	processes	process	VERB
azojete-205	44	12	information	information	NOUN
azojete-205	44	13	using	use	VERB
azojete-205	44	14	a	a	DET
azojete-205	44	15	connectionist	connectionist	ADJ
azojete-205	44	16	approach	approach	NOUN
azojete-205	44	17	to	to	ADP
azojete-205	44	18	computation	computation	NOUN
azojete-205	44	19	.	.	PUNCT
azojete-205	45	1	in	in	ADP
azojete-205	45	2	most	most	ADJ
azojete-205	45	3	cases	case	NOUN
azojete-205	45	4	an	an	DET
azojete-205	45	5	ann	ann	PROPN
azojete-205	45	6	is	be	AUX
azojete-205	45	7	an	an	DET
azojete-205	45	8	adaptive	adaptive	ADJ
azojete-205	45	9	system	system	NOUN
azojete-205	45	10	that	that	PRON
azojete-205	45	11	changes	change	VERB
azojete-205	45	12	its	its	PRON
azojete-205	45	13	structure	structure	NOUN
azojete-205	45	14	based	base	VERB
azojete-205	45	15	on	on	ADP
azojete-205	45	16	external	external	ADJ
azojete-205	45	17	or	or	CCONJ
azojete-205	45	18	internal	internal	ADJ
azojete-205	45	19	information	information	NOUN
azojete-205	45	20	that	that	PRON
azojete-205	45	21	flows	flow	VERB
azojete-205	45	22	through	through	ADP
azojete-205	45	23	the	the	DET
azojete-205	45	24	network	network	NOUN
azojete-205	45	25	during	during	ADP
azojete-205	45	26	the	the	DET
azojete-205	45	27	learning	learning	NOUN
azojete-205	45	28	phase	phase	NOUN
azojete-205	45	29	(	(	PUNCT
azojete-205	45	30	singh	singh	PROPN
azojete-205	45	31	and	and	CCONJ
azojete-205	45	32	chauhan	chauhan	PROPN
azojete-205	45	33	,	,	PUNCT
azojete-205	45	34	2009	2009	NUM
azojete-205	45	35	;	;	PUNCT
azojete-205	45	36	zurada	zurada	PROPN
azojete-205	45	37	,	,	PUNCT
azojete-205	45	38	1992	1992	NUM
azojete-205	45	39	)	)	PUNCT
azojete-205	45	40	.	.	PUNCT
azojete-205	46	1	2.1	2.1	NUM
azojete-205	46	2	concept	concept	NOUN
azojete-205	46	3	of	of	ADP
azojete-205	46	4	neural	neural	ADJ
azojete-205	46	5	network	network	NOUN
azojete-205	46	6	neural	neural	ADJ
azojete-205	46	7	networks	network	NOUN
azojete-205	46	8	are	be	AUX
azojete-205	46	9	very	very	ADV
azojete-205	46	10	sophisticated	sophisticated	ADJ
azojete-205	46	11	modeling	modeling	NOUN
azojete-205	46	12	techniques	technique	NOUN
azojete-205	46	13	capable	capable	ADJ
azojete-205	46	14	of	of	ADP
azojete-205	46	15	modelling	model	VERB
azojete-205	46	16	extremely	extremely	ADV
azojete-205	46	17	complex	complex	ADJ
azojete-205	46	18	functions	function	NOUN
azojete-205	46	19	.	.	PUNCT
azojete-205	47	1	neural	neural	ADJ
azojete-205	47	2	networks	network	NOUN
azojete-205	47	3	learn	learn	VERB
azojete-205	47	4	by	by	ADP
azojete-205	47	5	example	example	NOUN
azojete-205	47	6	.	.	PUNCT
azojete-205	48	1	the	the	DET
azojete-205	48	2	neural	neural	ADJ
azojete-205	48	3	network	network	NOUN
azojete-205	48	4	user	user	NOUN
azojete-205	48	5	gathers	gather	VERB
azojete-205	48	6	representative	representative	ADJ
azojete-205	48	7	data	datum	NOUN
azojete-205	48	8	,	,	PUNCT
azojete-205	48	9	and	and	CCONJ
azojete-205	48	10	then	then	ADV
azojete-205	48	11	invokes	invoke	VERB
azojete-205	48	12	training	training	NOUN
azojete-205	48	13	algorithms	algorithm	NOUN
azojete-205	48	14	to	to	PART
azojete-205	48	15	automatically	automatically	ADV
azojete-205	48	16	learn	learn	VERB
azojete-205	48	17	the	the	DET
azojete-205	48	18	structure	structure	NOUN
azojete-205	48	19	of	of	ADP
azojete-205	48	20	the	the	DET
azojete-205	48	21	data	datum	NOUN
azojete-205	48	22	.	.	PUNCT
azojete-205	49	1	it	it	PRON
azojete-205	49	2	is	be	AUX
azojete-205	49	3	a	a	DET
azojete-205	49	4	model	model	NOUN
azojete-205	49	5	for	for	ADP
azojete-205	49	6	classification	classification	NOUN
azojete-205	49	7	and	and	CCONJ
azojete-205	49	8	prediction	prediction	NOUN
azojete-205	49	9	(	(	PUNCT
azojete-205	49	10	continuous	continuous	ADJ
azojete-205	49	11	value	value	NOUN
azojete-205	49	12	)	)	PUNCT
azojete-205	49	13	of	of	ADP
azojete-205	49	14	an	an	DET
azojete-205	49	15	outcome	outcome	NOUN
azojete-205	49	16	variable	variable	NOUN
azojete-205	49	17	(	(	PUNCT
azojete-205	49	18	beale	beale	PROPN
azojete-205	49	19	and	and	CCONJ
azojete-205	49	20	jackson	jackson	PROPN
azojete-205	49	21	,	,	PUNCT
azojete-205	49	22	1990	1990	NUM
azojete-205	49	23	)	)	PUNCT
azojete-205	49	24	.	.	PUNCT
azojete-205	50	1	http://www.azojete.com.ng	http://www.azojete.com.ng	ADP
azojete-205	50	2	arid	arid	PROPN
azojete-205	50	3	zone	zone	PROPN
azojete-205	50	4	journal	journal	NOUN
azojete-205	50	5	of	of	ADP
azojete-205	50	6	engineering	engineering	NOUN
azojete-205	50	7	,	,	PUNCT
azojete-205	50	8	technology	technology	NOUN
azojete-205	50	9	and	and	CCONJ
azojete-205	50	10	environment	environment	NOUN
azojete-205	50	11	,	,	PUNCT
azojete-205	50	12	june	june	PROPN
azojete-205	50	13	,	,	PUNCT
azojete-205	50	14	2020	2020	NUM
azojete-205	50	15	;	;	PUNCT
azojete-205	50	16	vol	vol	NOUN
azojete-205	50	17	.	.	NOUN
azojete-205	50	18	16(2	16(2	NUM
azojete-205	50	19	)	)	PUNCT
azojete-205	50	20	243	243	NUM
azojete-205	50	21	-	-	SYM
azojete-205	50	22	254	254	NUM
azojete-205	50	23	.	.	PUNCT
azojete-205	51	1	issn	issn	PROPN
azojete-205	51	2	1596	1596	NUM
azojete-205	51	3	-	-	SYM
azojete-205	51	4	2490	2490	NUM
azojete-205	51	5	;	;	PUNCT
azojete-205	51	6	e	e	X
azojete-205	51	7	-	-	NOUN
azojete-205	51	8	issn	issn	VERB
azojete-205	51	9	2545	2545	NUM
azojete-205	51	10	-	-	SYM
azojete-205	51	11	5818	5818	NUM
azojete-205	51	12	;	;	PUNCT
azojete-205	51	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	51	14	corresponding	correspond	VERB
azojete-205	51	15	author	author	NOUN
azojete-205	51	16	’s	’s	PART
azojete-205	51	17	e	e	NOUN
azojete-205	51	18	-	-	NOUN
azojete-205	51	19	mail	mail	NOUN
azojete-205	51	20	address	address	NOUN
azojete-205	51	21	:	:	PUNCT
azojete-205	51	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	NOUN
azojete-205	51	23	245	245	NUM
azojete-205	51	24	2.2	2.2	NUM
azojete-205	51	25	the	the	DET
azojete-205	51	26	basic	basic	ADJ
azojete-205	51	27	artificial	artificial	ADJ
azojete-205	51	28	model	model	NOUN
azojete-205	51	29	the	the	DET
azojete-205	51	30	artificial	artificial	ADJ
azojete-205	51	31	neuron	neuron	NOUN
azojete-205	51	32	was	be	AUX
azojete-205	51	33	developed	develop	VERB
azojete-205	51	34	in	in	ADP
azojete-205	51	35	an	an	DET
azojete-205	51	36	effort	effort	NOUN
azojete-205	51	37	to	to	PART
azojete-205	51	38	model	model	VERB
azojete-205	51	39	the	the	DET
azojete-205	51	40	human	human	ADJ
azojete-205	51	41	neuron	neuron	PROPN
azojete-205	51	42	(	(	PUNCT
azojete-205	51	43	kartalopoulos	kartalopoulo	NOUN
azojete-205	51	44	and	and	CCONJ
azojete-205	51	45	stamatios	stamatio	NOUN
azojete-205	51	46	,	,	PUNCT
azojete-205	51	47	1996	1996	NUM
azojete-205	51	48	;	;	PUNCT
azojete-205	51	49	haykin	haykin	PROPN
azojete-205	51	50	and	and	CCONJ
azojete-205	51	51	simon	simon	PROPN
azojete-205	51	52	,	,	PUNCT
azojete-205	51	53	1994	1994	NUM
azojete-205	51	54	)	)	PUNCT
azojete-205	51	55	.	.	PUNCT
azojete-205	52	1	inputs	input	NOUN
azojete-205	52	2	enter	enter	VERB
azojete-205	52	3	the	the	DET
azojete-205	52	4	neuron	neuron	NOUN
azojete-205	52	5	and	and	CCONJ
azojete-205	52	6	are	be	AUX
azojete-205	52	7	multiplied	multiply	VERB
azojete-205	52	8	by	by	ADP
azojete-205	52	9	their	their	PRON
azojete-205	52	10	respective	respective	ADJ
azojete-205	52	11	synaptic	synaptic	ADJ
azojete-205	52	12	weights	weight	NOUN
azojete-205	52	13	.	.	PUNCT
azojete-205	53	1	they	they	PRON
azojete-205	53	2	are	be	AUX
azojete-205	53	3	then	then	ADV
azojete-205	53	4	summed	sum	VERB
azojete-205	53	5	and	and	CCONJ
azojete-205	53	6	processed	process	VERB
azojete-205	53	7	by	by	ADP
azojete-205	53	8	an	an	DET
azojete-205	53	9	activation	activation	NOUN
azojete-205	53	10	function	function	NOUN
azojete-205	53	11	.	.	PUNCT
azojete-205	54	1	examples	example	NOUN
azojete-205	54	2	of	of	ADP
azojete-205	54	3	activations	activation	NOUN
azojete-205	54	4	functions	function	NOUN
azojete-205	54	5	includes	include	VERB
azojete-205	54	6	the	the	DET
azojete-205	54	7	logistic	logistic	ADJ
azojete-205	54	8	or	or	CCONJ
azojete-205	54	9	sigmoid	sigmoid	NOUN
azojete-205	54	10	function	function	NOUN
azojete-205	54	11	(	(	PUNCT
azojete-205	54	12	1	1	NUM
azojete-205	54	13	)	)	PUNCT
azojete-205	54	14	.	.	PUNCT
azojete-205	55	1	f(x	f(x	NOUN
azojete-205	55	2	)	)	PUNCT
azojete-205	56	1	=	=	SYM
azojete-205	56	2	1/	1/	NUM
azojete-205	56	3	(	(	PUNCT
azojete-205	56	4	1+exp	1+exp	NOUN
azojete-205	56	5	(	(	PUNCT
azojete-205	56	6	-x	-x	NUM
azojete-205	56	7	)	)	PUNCT
azojete-205	56	8	)	)	PUNCT
azojete-205	56	9	(	(	PUNCT
azojete-205	56	10	1	1	X
azojete-205	56	11	)	)	PUNCT
azojete-205	56	12	while	while	SCONJ
azojete-205	56	13	the	the	DET
azojete-205	56	14	second	second	NOUN
azojete-205	56	15	is	be	AUX
azojete-205	56	16	the	the	DET
azojete-205	56	17	gaussian	gaussian	ADJ
azojete-205	56	18	function	function	NOUN
azojete-205	56	19	(	(	PUNCT
azojete-205	56	20	2	2	X
azojete-205	56	21	)	)	PUNCT
azojete-205	56	22	f(x	f(x	PROPN
azojete-205	56	23	)	)	PUNCT
azojete-205	57	1	=	=	SYM
azojete-205	57	2	exp	exp	NOUN
azojete-205	57	3	(	(	PUNCT
azojete-205	57	4	-x2	-x2	PROPN
azojete-205	57	5	)	)	PUNCT
azojete-205	57	6	.	.	PUNCT
azojete-205	58	1	(	(	PUNCT
azojete-205	58	2	2	2	X
azojete-205	58	3	)	)	PUNCT
azojete-205	58	4	where	where	SCONJ
azojete-205	58	5	the	the	DET
azojete-205	58	6	variable	variable	NOUN
azojete-205	58	7	x	x	PUNCT
azojete-205	58	8	represents	represent	VERB
azojete-205	58	9	the	the	DET
azojete-205	58	10	input	input	NOUN
azojete-205	58	11	vector	vector	NOUN
azojete-205	58	12	in	in	ADP
azojete-205	58	13	both	both	DET
azojete-205	58	14	equations	equation	NOUN
azojete-205	58	15	.	.	PUNCT
azojete-205	59	1	figure	figure	VERB
azojete-205	59	2	1	1	NUM
azojete-205	59	3	:	:	PUNCT
azojete-205	59	4	artificial	artificial	ADJ
azojete-205	59	5	neural	neural	ADJ
azojete-205	59	6	network	network	NOUN
azojete-205	59	7	model	model	NOUN
azojete-205	59	8	2.3	2.3	NUM
azojete-205	59	9	neural	neural	ADJ
azojete-205	59	10	network	network	NOUN
azojete-205	59	11	topologies	topology	NOUN
azojete-205	59	12	feed	feed	VERB
azojete-205	59	13	forward	forward	ADV
azojete-205	59	14	neural	neural	ADJ
azojete-205	59	15	network	network	NOUN
azojete-205	59	16	:	:	PUNCT
azojete-205	59	17	the	the	DET
azojete-205	59	18	feedforward	feedforward	ADJ
azojete-205	59	19	neural	neural	ADJ
azojete-205	59	20	network	network	NOUN
azojete-205	59	21	was	be	AUX
azojete-205	59	22	the	the	DET
azojete-205	59	23	first	first	ADJ
azojete-205	59	24	and	and	CCONJ
azojete-205	59	25	arguably	arguably	ADV
azojete-205	59	26	simplest	simple	ADJ
azojete-205	59	27	type	type	NOUN
azojete-205	59	28	of	of	ADP
azojete-205	59	29	artificial	artificial	ADJ
azojete-205	59	30	neural	neural	ADJ
azojete-205	59	31	network	network	NOUN
azojete-205	59	32	devised	devise	VERB
azojete-205	59	33	(	(	PUNCT
azojete-205	59	34	singh	singh	PROPN
azojete-205	59	35	and	and	CCONJ
azojete-205	59	36	chauhan	chauhan	PROPN
azojete-205	59	37	,	,	PUNCT
azojete-205	59	38	2009	2009	NUM
azojete-205	59	39	)	)	PUNCT
azojete-205	59	40	.	.	PUNCT
azojete-205	60	1	in	in	ADP
azojete-205	60	2	this	this	DET
azojete-205	60	3	network	network	NOUN
azojete-205	60	4	,	,	PUNCT
azojete-205	60	5	the	the	DET
azojete-205	60	6	information	information	NOUN
azojete-205	60	7	moves	move	VERB
azojete-205	60	8	in	in	ADP
azojete-205	60	9	only	only	ADV
azojete-205	60	10	one	one	NUM
azojete-205	60	11	direction	direction	NOUN
azojete-205	60	12	,	,	PUNCT
azojete-205	60	13	forward	forward	ADV
azojete-205	60	14	,	,	PUNCT
azojete-205	60	15	from	from	ADP
azojete-205	60	16	the	the	DET
azojete-205	60	17	input	input	NOUN
azojete-205	60	18	nodes	node	NOUN
azojete-205	60	19	,	,	PUNCT
azojete-205	60	20	through	through	ADP
azojete-205	60	21	the	the	DET
azojete-205	60	22	hidden	hide	VERB
azojete-205	60	23	nodes	node	NOUN
azojete-205	60	24	(	(	PUNCT
azojete-205	60	25	if	if	SCONJ
azojete-205	60	26	any	any	PRON
azojete-205	60	27	)	)	PUNCT
azojete-205	60	28	and	and	CCONJ
azojete-205	60	29	to	to	ADP
azojete-205	60	30	the	the	DET
azojete-205	60	31	output	output	NOUN
azojete-205	60	32	nodes	node	NOUN
azojete-205	60	33	.	.	PUNCT
azojete-205	61	1	there	there	PRON
azojete-205	61	2	are	be	VERB
azojete-205	61	3	no	no	DET
azojete-205	61	4	cycles	cycle	NOUN
azojete-205	61	5	or	or	CCONJ
azojete-205	61	6	loops	loop	NOUN
azojete-205	61	7	in	in	ADP
azojete-205	61	8	the	the	DET
azojete-205	61	9	network	network	NOUN
azojete-205	61	10	.	.	PUNCT
azojete-205	62	1	the	the	DET
azojete-205	62	2	data	data	NOUN
azojete-205	62	3	processing	processing	NOUN
azojete-205	62	4	can	can	AUX
azojete-205	62	5	extend	extend	VERB
azojete-205	62	6	over	over	ADP
azojete-205	62	7	multiple	multiple	ADJ
azojete-205	62	8	(	(	PUNCT
azojete-205	62	9	layers	layer	NOUN
azojete-205	62	10	of	of	ADP
azojete-205	62	11	)	)	PUNCT
azojete-205	62	12	units	unit	NOUN
azojete-205	62	13	,	,	PUNCT
azojete-205	62	14	but	but	CCONJ
azojete-205	62	15	no	no	DET
azojete-205	62	16	feedback	feedback	NOUN
azojete-205	62	17	connections	connection	NOUN
azojete-205	62	18	are	be	AUX
azojete-205	62	19	present	present	ADJ
azojete-205	62	20	,	,	PUNCT
azojete-205	62	21	that	that	ADV
azojete-205	62	22	is	is	ADV
azojete-205	62	23	,	,	PUNCT
azojete-205	62	24	connections	connection	NOUN
azojete-205	62	25	extending	extend	VERB
azojete-205	62	26	from	from	ADP
azojete-205	62	27	outputs	output	NOUN
azojete-205	62	28	of	of	ADP
azojete-205	62	29	units	unit	NOUN
azojete-205	62	30	to	to	ADP
azojete-205	62	31	inputs	input	NOUN
azojete-205	62	32	of	of	ADP
azojete-205	62	33	units	unit	NOUN
azojete-205	62	34	in	in	ADP
azojete-205	62	35	the	the	DET
azojete-205	62	36	same	same	ADJ
azojete-205	62	37	layer	layer	NOUN
azojete-205	62	38	or	or	CCONJ
azojete-205	62	39	previous	previous	ADJ
azojete-205	62	40	layers	layer	NOUN
azojete-205	62	41	(	(	PUNCT
azojete-205	62	42	zurada	zurada	PROPN
azojete-205	62	43	,	,	PUNCT
azojete-205	62	44	1992	1992	NUM
azojete-205	62	45	)	)	PUNCT
azojete-205	62	46	.	.	PUNCT
azojete-205	63	1	recurrent	recurrent	ADJ
azojete-205	63	2	network	network	NOUN
azojete-205	63	3	:	:	PUNCT
azojete-205	63	4	recurrent	recurrent	ADJ
azojete-205	63	5	neural	neural	ADJ
azojete-205	63	6	networks	network	NOUN
azojete-205	63	7	that	that	PRON
azojete-205	63	8	do	do	AUX
azojete-205	63	9	contain	contain	VERB
azojete-205	63	10	feedback	feedback	NOUN
azojete-205	63	11	connections	connection	NOUN
azojete-205	63	12	.	.	PUNCT
azojete-205	64	1	contrary	contrary	ADJ
azojete-205	64	2	to	to	ADP
azojete-205	64	3	feedforward	feedforward	NOUN
azojete-205	64	4	networks	network	NOUN
azojete-205	64	5	,	,	PUNCT
azojete-205	64	6	recurrent	recurrent	ADJ
azojete-205	64	7	neural	neural	ADJ
azojete-205	64	8	networks	network	NOUN
azojete-205	64	9	(	(	PUNCT
azojete-205	64	10	rns	rn	NOUN
azojete-205	64	11	)	)	PUNCT
azojete-205	64	12	are	be	AUX
azojete-205	64	13	models	model	NOUN
azojete-205	64	14	with	with	ADP
azojete-205	64	15	bi	bi	ADJ
azojete-205	64	16	-	-	ADJ
azojete-205	64	17	directional	directional	ADJ
azojete-205	64	18	data	datum	NOUN
azojete-205	64	19	flow	flow	NOUN
azojete-205	64	20	.	.	PUNCT
azojete-205	65	1	while	while	SCONJ
azojete-205	65	2	a	a	DET
azojete-205	65	3	feedforward	feedforward	ADJ
azojete-205	65	4	network	network	NOUN
azojete-205	65	5	propagates	propagate	VERB
azojete-205	65	6	data	datum	NOUN
azojete-205	65	7	linearly	linearly	ADV
azojete-205	65	8	from	from	ADP
azojete-205	65	9	input	input	NOUN
azojete-205	65	10	to	to	ADP
azojete-205	65	11	output	output	NOUN
azojete-205	65	12	,	,	PUNCT
azojete-205	65	13	rns	rn	NOUN
azojete-205	65	14	also	also	ADV
azojete-205	65	15	propagate	propagate	VERB
azojete-205	65	16	data	datum	NOUN
azojete-205	65	17	from	from	ADP
azojete-205	65	18	later	later	ADJ
azojete-205	65	19	processing	processing	NOUN
azojete-205	65	20	stages	stage	NOUN
azojete-205	65	21	to	to	ADP
azojete-205	65	22	earlier	early	ADJ
azojete-205	65	23	stages	stage	NOUN
azojete-205	65	24	(	(	PUNCT
azojete-205	65	25	singh	singh	PROPN
azojete-205	65	26	and	and	CCONJ
azojete-205	65	27	chauhan	chauhan	PROPN
azojete-205	65	28	,	,	PUNCT
azojete-205	65	29	2009	2009	NUM
azojete-205	65	30	)	)	PUNCT
azojete-205	65	31	.	.	PUNCT
azojete-205	66	1	2.4	2.4	NUM
azojete-205	66	2	data	datum	NOUN
azojete-205	66	3	mining	mining	NOUN
azojete-205	66	4	data	datum	NOUN
azojete-205	66	5	mining	mining	NOUN
azojete-205	66	6	is	be	AUX
azojete-205	66	7	a	a	DET
azojete-205	66	8	set	set	NOUN
azojete-205	66	9	of	of	ADP
azojete-205	66	10	techniques	technique	NOUN
azojete-205	66	11	and	and	CCONJ
azojete-205	66	12	procedures	procedure	NOUN
azojete-205	66	13	that	that	PRON
azojete-205	66	14	can	can	AUX
azojete-205	66	15	be	be	AUX
azojete-205	66	16	developed	develop	VERB
azojete-205	66	17	from	from	ADP
azojete-205	66	18	various	various	ADJ
azojete-205	66	19	data	datum	NOUN
azojete-205	66	20	sources	source	NOUN
azojete-205	66	21	such	such	ADJ
azojete-205	66	22	as	as	ADP
azojete-205	66	23	data	datum	NOUN
azojete-205	66	24	warehouses	warehouse	NOUN
azojete-205	66	25	or	or	CCONJ
azojete-205	66	26	relational	relational	ADJ
azojete-205	66	27	databases	database	NOUN
azojete-205	66	28	(	(	PUNCT
azojete-205	66	29	villanueva	villanueva	PROPN
azojete-205	66	30	et	et	PROPN
azojete-205	66	31	al	al	PROPN
azojete-205	66	32	.	.	PROPN
azojete-205	66	33	,	,	PUNCT
azojete-205	66	34	2018	2018	NUM
azojete-205	66	35	)	)	PUNCT
azojete-205	66	36	.	.	PUNCT
azojete-205	67	1	flat	flat	ADJ
azojete-205	67	2	files	file	NOUN
azojete-205	67	3	without	without	ADP
azojete-205	67	4	formats	format	NOUN
azojete-205	67	5	are	be	AUX
azojete-205	67	6	made	make	VERB
azojete-205	67	7	from	from	ADP
azojete-205	67	8	this	this	DET
azojete-205	67	9	predictive	predictive	ADJ
azojete-205	67	10	analysis	analysis	NOUN
azojete-205	67	11	using	use	VERB
azojete-205	67	12	statistical	statistical	ADJ
azojete-205	67	13	study	study	NOUN
azojete-205	67	14	techniques	technique	NOUN
azojete-205	67	15	to	to	PART
azojete-205	67	16	predict	predict	VERB
azojete-205	67	17	or	or	CCONJ
azojete-205	67	18	anticipate	anticipate	VERB
azojete-205	67	19	statistical	statistical	ADJ
azojete-205	67	20	measures	measure	NOUN
azojete-205	67	21	of	of	ADP
azojete-205	67	22	certainty	certainty	NOUN
azojete-205	67	23	based	base	VERB
azojete-205	67	24	on	on	ADP
azojete-205	67	25	existing	exist	VERB
azojete-205	67	26	facts	fact	NOUN
azojete-205	67	27	.	.	PUNCT
azojete-205	68	1	data	datum	NOUN
azojete-205	68	2	mining	mining	NOUN
azojete-205	68	3	is	be	AUX
azojete-205	68	4	seen	see	VERB
azojete-205	68	5	as	as	ADP
azojete-205	68	6	the	the	DET
azojete-205	68	7	evolution	evolution	NOUN
azojete-205	68	8	of	of	ADP
azojete-205	68	9	information	information	NOUN
azojete-205	68	10	technology	technology	NOUN
azojete-205	68	11	(	(	PUNCT
azojete-205	68	12	jiawei	jiawei	NOUN
azojete-205	68	13	and	and	CCONJ
azojete-205	68	14	kamber	kamber	PROPN
azojete-205	68	15	,	,	PUNCT
azojete-205	68	16	2001	2001	NUM
azojete-205	68	17	)	)	PUNCT
azojete-205	68	18	,	,	PUNCT
azojete-205	68	19	this	this	PRON
azojete-205	68	20	is	be	AUX
azojete-205	68	21	largely	largely	ADV
azojete-205	68	22	supported	support	VERB
azojete-205	68	23	by	by	ADP
azojete-205	68	24	the	the	DET
azojete-205	68	25	growth	growth	NOUN
azojete-205	68	26	of	of	ADP
azojete-205	68	27	the	the	DET
azojete-205	68	28	internet	internet	NOUN
azojete-205	68	29	.	.	PUNCT
azojete-205	69	1	data	datum	NOUN
azojete-205	69	2	mining	mining	NOUN
azojete-205	69	3	is	be	AUX
azojete-205	69	4	a	a	DET
azojete-205	69	5	multidisciplinary	multidisciplinary	ADJ
azojete-205	69	6	field	field	NOUN
azojete-205	69	7	that	that	PRON
azojete-205	69	8	allows	allow	VERB
azojete-205	69	9	relevant	relevant	ADJ
azojete-205	69	10	information	information	NOUN
azojete-205	69	11	to	to	PART
azojete-205	69	12	be	be	AUX
azojete-205	69	13	obtained	obtain	VERB
azojete-205	69	14	from	from	ADP
azojete-205	69	15	large	large	ADJ
azojete-205	69	16	amounts	amount	NOUN
azojete-205	69	17	of	of	ADP
azojete-205	69	18	data	datum	NOUN
azojete-205	69	19	at	at	ADP
azojete-205	69	20	the	the	DET
azojete-205	69	21	confluence	confluence	NOUN
azojete-205	69	22	among	among	ADP
azojete-205	69	23	other	other	ADJ
azojete-205	69	24	disciplines	discipline	NOUN
azojete-205	69	25	namely	namely	ADV
azojete-205	69	26	:	:	PUNCT
azojete-205	69	27	artificial	artificial	ADJ
azojete-205	69	28	intelligence	intelligence	NOUN
azojete-205	69	29	,	,	PUNCT
azojete-205	69	30	statistics	statistic	NOUN
azojete-205	69	31	,	,	PUNCT
azojete-205	69	32	databases	database	NOUN
azojete-205	69	33	and	and	CCONJ
azojete-205	69	34	information	information	NOUN
azojete-205	69	35	science	science	NOUN
azojete-205	69	36	.	.	PUNCT
azojete-205	70	1	figure	figure	NOUN
azojete-205	70	2	2	2	NUM
azojete-205	70	3	shows	show	VERB
azojete-205	70	4	data	datum	NOUN
azojete-205	70	5	mining	mining	NOUN
azojete-205	70	6	taxonomy	taxonomy	NOUN
azojete-205	70	7	.	.	PUNCT
azojete-205	71	1	f	f	PROPN
azojete-205	71	2	weighted	weight	VERB
azojete-205	71	3	suminput	suminput	NOUN
azojete-205	71	4	vector	vector	NOUN
azojete-205	71	5	x	x	PUNCT
azojete-205	71	6	output	output	NOUN
azojete-205	71	7	y	y	PROPN
azojete-205	71	8	activationfunction	activationfunction	NOUN
azojete-205	71	9	bias	bias	NOUN
azojete-205	71	10	weight	weight	NOUN
azojete-205	71	11	vector	vector	NOUN
azojete-205	71	12	w	w	PROPN
azojete-205	71	13			X
azojete-205	71	14	w0j	w0j	NOUN
azojete-205	71	15	w1j	w1j	ADV
azojete-205	71	16	wnj	wnj	VERB
azojete-205	71	17	x0	x0	PROPN
azojete-205	72	1	x1	x1	PROPN
azojete-205	72	2	xn	xn	PUNCT
azojete-205	72	3	file:///c:/users	file:///c:/users	PROPN
azojete-205	72	4	/	/	SYM
azojete-205	72	5	user	user	NOUN
azojete-205	72	6	/	/	SYM
azojete-205	72	7	downloads	download	NOUN
azojete-205	72	8	/	/	SYM
azojete-205	72	9	azojete143	azojete143	PROPN
azojete-205	72	10	/	/	SYM
azojete-205	72	11	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	72	12	abah	abah	NOUN
azojete-205	72	13	et	et	PROPN
azojete-205	72	14	al	al	PROPN
azojete-205	72	15	:	:	PUNCT
azojete-205	72	16	computational	computational	ADJ
azojete-205	72	17	model	model	NOUN
azojete-205	72	18	of	of	ADP
azojete-205	72	19	artificial	artificial	ADJ
azojete-205	72	20	neural	neural	ADJ
azojete-205	72	21	networks	network	NOUN
azojete-205	72	22	and	and	CCONJ
azojete-205	72	23	its	its	PRON
azojete-205	72	24	applications	application	NOUN
azojete-205	72	25	in	in	ADP
azojete-205	72	26	data	datum	NOUN
azojete-205	72	27	mining	mining	NOUN
azojete-205	72	28	.	.	PUNCT
azojete-205	73	1	azojete,16(2):243	azojete,16(2):243	PROPN
azojete-205	73	2	-	-	PUNCT
azojete-205	73	3	254	254	NUM
azojete-205	73	4	.	.	PUNCT
azojete-205	74	1	issn	issn	PROPN
azojete-205	74	2	1596	1596	NUM
azojete-205	74	3	-	-	SYM
azojete-205	74	4	2490	2490	NUM
azojete-205	74	5	;	;	PUNCT
azojete-205	74	6	e	e	X
azojete-205	74	7	-	-	NOUN
azojete-205	74	8	issn	issn	VERB
azojete-205	74	9	2545	2545	NUM
azojete-205	74	10	-	-	SYM
azojete-205	74	11	5818	5818	NUM
azojete-205	74	12	,	,	PUNCT
azojete-205	74	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	74	14	corresponding	correspond	VERB
azojete-205	74	15	author	author	NOUN
azojete-205	74	16	’s	’s	PART
azojete-205	74	17	e	e	NOUN
azojete-205	74	18	-	-	NOUN
azojete-205	74	19	mail	mail	NOUN
azojete-205	74	20	address	address	NOUN
azojete-205	74	21	:	:	PUNCT
azojete-205	74	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	VERB
azojete-205	74	23	246	246	NUM
azojete-205	74	24	figure	figure	NOUN
azojete-205	74	25	2	2	NUM
azojete-205	74	26	:	:	PUNCT
azojete-205	74	27	data	datum	NOUN
azojete-205	74	28	mining	mining	NOUN
azojete-205	74	29	taxonomy	taxonomy	NOUN
azojete-205	74	30	(	(	PUNCT
azojete-205	74	31	maimon	maimon	NOUN
azojete-205	74	32	and	and	CCONJ
azojete-205	74	33	rokach	rokach	NOUN
azojete-205	74	34	,	,	PUNCT
azojete-205	74	35	2010	2010	NUM
azojete-205	74	36	)	)	PUNCT
azojete-205	74	37	2.4.1	2.4.1	NUM
azojete-205	74	38	phases	phase	NOUN
azojete-205	74	39	of	of	ADP
azojete-205	74	40	data	datum	NOUN
azojete-205	74	41	mining	mining	NOUN
azojete-205	74	42	task	task	NOUN
azojete-205	74	43	the	the	DET
azojete-205	74	44	data	data	NOUN
azojete-205	74	45	mining	mining	NOUN
azojete-205	74	46	tasks	task	NOUN
azojete-205	74	47	are	be	AUX
azojete-205	74	48	implemented	implement	VERB
azojete-205	74	49	with	with	ADP
azojete-205	74	50	the	the	DET
azojete-205	74	51	goal	goal	NOUN
azojete-205	74	52	of	of	ADP
azojete-205	74	53	discovering	discover	VERB
azojete-205	74	54	patterns	pattern	NOUN
azojete-205	74	55	of	of	ADP
azojete-205	74	56	relevant	relevant	ADJ
azojete-205	74	57	and	and	CCONJ
azojete-205	74	58	interesting	interesting	ADJ
azojete-205	74	59	information	information	NOUN
azojete-205	74	60	in	in	ADP
azojete-205	74	61	large	large	ADJ
azojete-205	74	62	volumes	volume	NOUN
azojete-205	74	63	.	.	PUNCT
azojete-205	75	1	this	this	PRON
azojete-205	75	2	is	be	AUX
azojete-205	75	3	done	do	VERB
azojete-205	75	4	with	with	ADP
azojete-205	75	5	the	the	DET
azojete-205	75	6	development	development	NOUN
azojete-205	75	7	of	of	ADP
azojete-205	75	8	four	four	NUM
azojete-205	75	9	phases	phase	NOUN
azojete-205	75	10	according	accord	VERB
azojete-205	75	11	to	to	ADP
azojete-205	75	12	villanueva	villanueva	PROPN
azojete-205	75	13	et	et	PROPN
azojete-205	75	14	al	al	PROPN
azojete-205	75	15	.	.	PROPN
azojete-205	76	1	(	(	PUNCT
azojete-205	76	2	2018	2018	NUM
azojete-205	76	3	)	)	PUNCT
azojete-205	76	4	,	,	PUNCT
azojete-205	76	5	which	which	PRON
azojete-205	76	6	are	be	AUX
azojete-205	76	7	usually	usually	ADV
azojete-205	76	8	:	:	PUNCT
azojete-205	76	9	filtering	filter	VERB
azojete-205	76	10	data	data	PROPN
azojete-205	76	11	;	;	PUNCT
azojete-205	76	12	selection	selection	NOUN
azojete-205	76	13	of	of	ADP
azojete-205	76	14	variables	variable	NOUN
azojete-205	76	15	;	;	PUNCT
azojete-205	76	16	extracting	extract	VERB
azojete-205	76	17	knowledge	knowledge	NOUN
azojete-205	76	18	and	and	CCONJ
azojete-205	76	19	interpretation	interpretation	NOUN
azojete-205	76	20	and	and	CCONJ
azojete-205	76	21	evaluation	evaluation	NOUN
azojete-205	76	22	.	.	PUNCT
azojete-205	77	1	in	in	ADP
azojete-205	77	2	general	general	ADJ
azojete-205	77	3	,	,	PUNCT
azojete-205	77	4	all	all	DET
azojete-205	77	5	techniques	technique	NOUN
azojete-205	77	6	have	have	AUX
azojete-205	77	7	been	be	AUX
azojete-205	77	8	proved	prove	VERB
azojete-205	77	9	in	in	ADP
azojete-205	77	10	educational	educational	ADJ
azojete-205	77	11	settings	setting	NOUN
azojete-205	77	12	according	accord	VERB
azojete-205	77	13	to	to	ADP
azojete-205	77	14	siemens	siemens	PROPN
azojete-205	77	15	and	and	CCONJ
azojete-205	77	16	baker	baker	PROPN
azojete-205	77	17	(	(	PUNCT
azojete-205	77	18	2012	2012	NUM
azojete-205	77	19	)	)	PUNCT
azojete-205	77	20	,	,	PUNCT
azojete-205	77	21	and	and	CCONJ
azojete-205	77	22	different	different	ADJ
azojete-205	77	23	case	case	NOUN
azojete-205	77	24	studies	study	NOUN
azojete-205	77	25	have	have	AUX
azojete-205	77	26	been	be	AUX
azojete-205	77	27	developed	develop	VERB
azojete-205	77	28	to	to	PART
azojete-205	77	29	evaluate	evaluate	VERB
azojete-205	77	30	the	the	DET
azojete-205	77	31	performance	performance	NOUN
azojete-205	77	32	of	of	ADP
azojete-205	77	33	different	different	ADJ
azojete-205	77	34	techniques	technique	NOUN
azojete-205	77	35	and	and	CCONJ
azojete-205	77	36	to	to	PART
azojete-205	77	37	meet	meet	VERB
azojete-205	77	38	the	the	DET
azojete-205	77	39	main	main	ADJ
azojete-205	77	40	goals	goal	NOUN
azojete-205	77	41	of	of	ADP
azojete-205	77	42	data	datum	NOUN
azojete-205	77	43	mining	mining	NOUN
azojete-205	77	44	.	.	PUNCT
azojete-205	78	1	2.4.2	2.4.2	NUM
azojete-205	78	2	neural	neural	ADJ
azojete-205	78	3	networks	network	NOUN
azojete-205	78	4	in	in	ADP
azojete-205	78	5	data	datum	NOUN
azojete-205	78	6	mining	mining	NOUN
azojete-205	78	7	in	in	ADP
azojete-205	78	8	more	more	ADV
azojete-205	78	9	practical	practical	ADJ
azojete-205	78	10	terms	term	NOUN
azojete-205	78	11	neural	neural	ADJ
azojete-205	78	12	networks	network	NOUN
azojete-205	78	13	are	be	AUX
azojete-205	78	14	non	non	ADJ
azojete-205	78	15	-	-	ADJ
azojete-205	78	16	linear	linear	ADJ
azojete-205	78	17	statistical	statistical	ADJ
azojete-205	78	18	data	datum	NOUN
azojete-205	78	19	modelling	modelling	NOUN
azojete-205	78	20	tools	tool	NOUN
azojete-205	78	21	.	.	PUNCT
azojete-205	79	1	they	they	PRON
azojete-205	79	2	can	can	AUX
azojete-205	79	3	be	be	AUX
azojete-205	79	4	used	use	VERB
azojete-205	79	5	to	to	PART
azojete-205	79	6	model	model	VERB
azojete-205	79	7	complex	complex	ADJ
azojete-205	79	8	relationships	relationship	NOUN
azojete-205	79	9	between	between	ADP
azojete-205	79	10	inputs	input	NOUN
azojete-205	79	11	and	and	CCONJ
azojete-205	79	12	outputs	output	NOUN
azojete-205	79	13	or	or	CCONJ
azojete-205	79	14	to	to	PART
azojete-205	79	15	find	find	VERB
azojete-205	79	16	patterns	pattern	NOUN
azojete-205	79	17	in	in	ADP
azojete-205	79	18	data	datum	NOUN
azojete-205	79	19	(	(	PUNCT
azojete-205	79	20	singh	singh	PROPN
azojete-205	79	21	and	and	CCONJ
azojete-205	79	22	chauhan	chauhan	PROPN
azojete-205	79	23	,	,	PUNCT
azojete-205	79	24	2009	2009	NUM
azojete-205	79	25	)	)	PUNCT
azojete-205	79	26	.	.	PUNCT
azojete-205	80	1	using	use	VERB
azojete-205	80	2	neural	neural	ADJ
azojete-205	80	3	networks	network	NOUN
azojete-205	80	4	as	as	ADP
azojete-205	80	5	a	a	DET
azojete-205	80	6	tool	tool	NOUN
azojete-205	80	7	,	,	PUNCT
azojete-205	80	8	data	datum	NOUN
azojete-205	80	9	warehousing	warehousing	NOUN
azojete-205	80	10	firms	firm	NOUN
azojete-205	80	11	are	be	AUX
azojete-205	80	12	harvesting	harvest	VERB
azojete-205	80	13	information	information	NOUN
azojete-205	80	14	from	from	ADP
azojete-205	80	15	datasets	dataset	NOUN
azojete-205	80	16	in	in	ADP
azojete-205	80	17	the	the	DET
azojete-205	80	18	process	process	NOUN
azojete-205	80	19	known	know	VERB
azojete-205	80	20	as	as	ADP
azojete-205	80	21	data	data	NOUN
azojete-205	80	22	mining	mining	NOUN
azojete-205	80	23	.	.	PUNCT
azojete-205	81	1	the	the	DET
azojete-205	81	2	difference	difference	NOUN
azojete-205	81	3	between	between	ADP
azojete-205	81	4	these	these	DET
azojete-205	81	5	data	datum	NOUN
azojete-205	81	6	warehouses	warehouse	NOUN
azojete-205	81	7	and	and	CCONJ
azojete-205	81	8	ordinary	ordinary	ADJ
azojete-205	81	9	databases	database	NOUN
azojete-205	81	10	is	be	AUX
azojete-205	81	11	that	that	SCONJ
azojete-205	81	12	there	there	PRON
azojete-205	81	13	is	be	VERB
azojete-205	81	14	actual	actual	ADJ
azojete-205	81	15	manipulation	manipulation	NOUN
azojete-205	81	16	and	and	CCONJ
azojete-205	81	17	cross	cross	NOUN
azojete-205	81	18	-	-	NOUN
azojete-205	81	19	fertilization	fertilization	NOUN
azojete-205	81	20	of	of	ADP
azojete-205	81	21	the	the	DET
azojete-205	81	22	data	datum	NOUN
azojete-205	81	23	helping	help	VERB
azojete-205	81	24	users	user	NOUN
azojete-205	81	25	make	make	VERB
azojete-205	81	26	more	more	ADV
azojete-205	81	27	informed	informed	ADJ
azojete-205	81	28	decisions	decision	NOUN
azojete-205	81	29	.	.	PUNCT
azojete-205	82	1	neural	neural	ADJ
azojete-205	82	2	networks	network	NOUN
azojete-205	82	3	essentially	essentially	ADV
azojete-205	82	4	comprise	comprise	VERB
azojete-205	82	5	three	three	NUM
azojete-205	82	6	pieces	piece	NOUN
azojete-205	82	7	(	(	PUNCT
azojete-205	82	8	zurada	zurada	PROPN
azojete-205	82	9	,	,	PUNCT
azojete-205	82	10	1992	1992	NUM
azojete-205	82	11	):	):	PUNCT
azojete-205	82	12	the	the	DET
azojete-205	82	13	architecture	architecture	NOUN
azojete-205	82	14	or	or	CCONJ
azojete-205	82	15	model	model	NOUN
azojete-205	82	16	;	;	PUNCT
azojete-205	82	17	the	the	DET
azojete-205	82	18	learning	learning	NOUN
azojete-205	82	19	algorithm	algorithm	NOUN
azojete-205	82	20	;	;	PUNCT
azojete-205	82	21	and	and	CCONJ
azojete-205	82	22	the	the	DET
azojete-205	82	23	activation	activation	NOUN
azojete-205	82	24	functions	function	NOUN
azojete-205	82	25	.	.	PUNCT
azojete-205	83	1	neural	neural	ADJ
azojete-205	83	2	networks	network	NOUN
azojete-205	83	3	are	be	AUX
azojete-205	83	4	programmed	program	VERB
azojete-205	83	5	or	or	CCONJ
azojete-205	83	6	“	"	PUNCT
azojete-205	83	7	trained	train	VERB
azojete-205	83	8	”	"	PUNCT
azojete-205	83	9	to	to	ADP
azojete-205	83	10	store	store	VERB
azojete-205	83	11	,	,	PUNCT
azojete-205	83	12	recognize	recognize	VERB
azojete-205	83	13	,	,	PUNCT
azojete-205	83	14	and	and	CCONJ
azojete-205	83	15	associatively	associatively	ADV
azojete-205	83	16	retrieve	retrieve	VERB
azojete-205	83	17	patterns	pattern	NOUN
azojete-205	83	18	or	or	CCONJ
azojete-205	83	19	database	database	NOUN
azojete-205	83	20	entries	entry	NOUN
azojete-205	83	21	;	;	PUNCT
azojete-205	83	22	to	to	PART
azojete-205	83	23	solve	solve	VERB
azojete-205	83	24	combinatorial	combinatorial	ADJ
azojete-205	83	25	optimization	optimization	NOUN
azojete-205	83	26	problems	problem	NOUN
azojete-205	83	27	;	;	PUNCT
azojete-205	83	28	to	to	PART
azojete-205	83	29	filter	filter	VERB
azojete-205	83	30	noise	noise	NOUN
azojete-205	83	31	from	from	ADP
azojete-205	83	32	measurement	measurement	NOUN
azojete-205	83	33	data	datum	NOUN
azojete-205	83	34	;	;	PUNCT
azojete-205	83	35	to	to	PART
azojete-205	83	36	control	control	VERB
azojete-205	83	37	ill	ill	ADV
azojete-205	83	38	-	-	PUNCT
azojete-205	83	39	defined	define	VERB
azojete-205	83	40	problems	problem	NOUN
azojete-205	83	41	;	;	PUNCT
azojete-205	83	42	in	in	ADP
azojete-205	83	43	summary	summary	NOUN
azojete-205	83	44	,	,	PUNCT
azojete-205	83	45	to	to	PART
azojete-205	83	46	estimate	estimate	VERB
azojete-205	83	47	sampled	sample	VERB
azojete-205	83	48	functions	function	NOUN
azojete-205	83	49	when	when	SCONJ
azojete-205	83	50	we	we	PRON
azojete-205	83	51	do	do	AUX
azojete-205	83	52	not	not	PART
azojete-205	83	53	know	know	VERB
azojete-205	83	54	the	the	DET
azojete-205	83	55	form	form	NOUN
azojete-205	83	56	of	of	ADP
azojete-205	83	57	the	the	DET
azojete-205	83	58	functions	function	NOUN
azojete-205	83	59	.	.	PUNCT
azojete-205	83	60	”	"	PUNCT
azojete-205	84	1	it	it	PRON
azojete-205	84	2	is	be	AUX
azojete-205	84	3	precisely	precisely	ADV
azojete-205	84	4	these	these	DET
azojete-205	84	5	two	two	NUM
azojete-205	84	6	abilities	ability	NOUN
azojete-205	84	7	(	(	PUNCT
azojete-205	84	8	pattern	pattern	NOUN
azojete-205	84	9	recognition	recognition	NOUN
azojete-205	84	10	and	and	CCONJ
azojete-205	84	11	function	function	NOUN
azojete-205	84	12	estimation	estimation	NOUN
azojete-205	84	13	)	)	PUNCT
azojete-205	84	14	which	which	PRON
azojete-205	84	15	make	make	VERB
azojete-205	84	16	artificial	artificial	ADJ
azojete-205	84	17	neural	neural	ADJ
azojete-205	84	18	networks	network	NOUN
azojete-205	84	19	(	(	PUNCT
azojete-205	84	20	ann	ann	PROPN
azojete-205	84	21	)	)	PUNCT
azojete-205	84	22	so	so	ADV
azojete-205	84	23	prevalent	prevalent	VERB
azojete-205	84	24	a	a	DET
azojete-205	84	25	utility	utility	NOUN
azojete-205	84	26	in	in	ADP
azojete-205	84	27	data	datum	NOUN
azojete-205	84	28	mining	mining	NOUN
azojete-205	84	29	.	.	PUNCT
azojete-205	85	1	according	accord	VERB
azojete-205	85	2	to	to	ADP
azojete-205	85	3	villanueva	villanueva	PROPN
azojete-205	85	4	,	,	PUNCT
azojete-205	85	5	moreno	moreno	PROPN
azojete-205	85	6	and	and	CCONJ
azojete-205	85	7	salinas	salinas	PROPN
azojete-205	85	8	(	(	PUNCT
azojete-205	85	9	2018	2018	NUM
azojete-205	85	10	)	)	PUNCT
azojete-205	85	11	,	,	PUNCT
azojete-205	85	12	the	the	DET
azojete-205	85	13	first	first	ADJ
azojete-205	85	14	known	know	VERB
azojete-205	85	15	work	work	NOUN
azojete-205	85	16	on	on	ADP
azojete-205	85	17	educational	educational	ADJ
azojete-205	85	18	data	datum	NOUN
azojete-205	85	19	mining	mining	NOUN
azojete-205	85	20	titled	title	VERB
azojete-205	85	21	"	"	PUNCT
azojete-205	85	22	explaining	explain	VERB
azojete-205	85	23	student	student	NOUN
azojete-205	85	24	grades	grade	NOUN
azojete-205	85	25	predicted	predict	VERB
azojete-205	85	26	by	by	ADP
azojete-205	85	27	a	a	DET
azojete-205	85	28	neural	neural	ADJ
azojete-205	85	29	network	network	NOUN
azojete-205	85	30	"	"	PUNCT
azojete-205	85	31	(	(	PUNCT
azojete-205	85	32	gedeon	gedeon	NOUN
azojete-205	85	33	and	and	CCONJ
azojete-205	85	34	turner	turner	NOUN
azojete-205	85	35	,	,	PUNCT
azojete-205	85	36	1993	1993	NUM
azojete-205	85	37	)	)	PUNCT
azojete-205	85	38	.	.	PUNCT
azojete-205	86	1	in	in	ADP
azojete-205	86	2	this	this	DET
azojete-205	86	3	work	work	NOUN
azojete-205	86	4	,	,	PUNCT
azojete-205	86	5	the	the	DET
azojete-205	86	6	researchers	researcher	NOUN
azojete-205	86	7	used	use	VERB
azojete-205	86	8	neural	neural	ADJ
azojete-205	86	9	networks	network	NOUN
azojete-205	86	10	were	be	AUX
azojete-205	86	11	used	use	VERB
azojete-205	86	12	to	to	PART
azojete-205	86	13	predict	predict	VERB
azojete-205	86	14	the	the	DET
azojete-205	86	15	final	final	ADJ
azojete-205	86	16	grades	grade	NOUN
azojete-205	86	17	of	of	ADP
azojete-205	86	18	students	student	NOUN
azojete-205	86	19	.	.	PUNCT
azojete-205	87	1	later	later	ADV
azojete-205	87	2	,	,	PUNCT
azojete-205	87	3	in	in	ADP
azojete-205	87	4	1994	1994	NUM
azojete-205	87	5	,	,	PUNCT
azojete-205	87	6	fausett	fausett	NOUN
azojete-205	87	7	and	and	CCONJ
azojete-205	87	8	elwasif	elwasif	NOUN
azojete-205	87	9	published	publish	VERB
azojete-205	87	10	"	"	PUNCT
azojete-205	87	11	predicting	predict	VERB
azojete-205	87	12	performance	performance	NOUN
azojete-205	87	13	from	from	ADP
azojete-205	87	14	test	test	NOUN
azojete-205	87	15	http://www.azojete.com.ng	http://www.azojete.com.ng	ADV
azojete-205	87	16	arid	arid	PROPN
azojete-205	87	17	zone	zone	PROPN
azojete-205	87	18	journal	journal	NOUN
azojete-205	87	19	of	of	ADP
azojete-205	87	20	engineering	engineering	NOUN
azojete-205	87	21	,	,	PUNCT
azojete-205	87	22	technology	technology	NOUN
azojete-205	87	23	and	and	CCONJ
azojete-205	87	24	environment	environment	NOUN
azojete-205	87	25	,	,	PUNCT
azojete-205	87	26	june	june	PROPN
azojete-205	87	27	,	,	PUNCT
azojete-205	87	28	2020	2020	NUM
azojete-205	87	29	;	;	PUNCT
azojete-205	87	30	vol	vol	NOUN
azojete-205	87	31	.	.	NOUN
azojete-205	88	1	16(2	16(2	NUM
azojete-205	88	2	)	)	PUNCT
azojete-205	88	3	243	243	NUM
azojete-205	88	4	-	-	SYM
azojete-205	88	5	254	254	NUM
azojete-205	88	6	.	.	PUNCT
azojete-205	89	1	issn	issn	PROPN
azojete-205	89	2	1596	1596	NUM
azojete-205	89	3	-	-	SYM
azojete-205	89	4	2490	2490	NUM
azojete-205	89	5	;	;	PUNCT
azojete-205	89	6	e	e	X
azojete-205	89	7	-	-	NOUN
azojete-205	89	8	issn	issn	VERB
azojete-205	89	9	2545	2545	NUM
azojete-205	89	10	-	-	SYM
azojete-205	89	11	5818	5818	NUM
azojete-205	89	12	;	;	PUNCT
azojete-205	89	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	89	14	corresponding	correspond	VERB
azojete-205	89	15	author	author	NOUN
azojete-205	89	16	’s	’s	PART
azojete-205	89	17	e	e	NOUN
azojete-205	89	18	-	-	NOUN
azojete-205	89	19	mail	mail	NOUN
azojete-205	89	20	address	address	NOUN
azojete-205	89	21	:	:	PUNCT
azojete-205	89	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	VERB
azojete-205	89	23	247	247	NUM
azojete-205	89	24	scores	score	NOUN
azojete-205	89	25	using	use	VERB
azojete-205	89	26	back	back	ADP
azojete-205	89	27	propagation	propagation	NOUN
azojete-205	89	28	and	and	CCONJ
azojete-205	89	29	counter	counter	NOUN
azojete-205	89	30	propagation	propagation	NOUN
azojete-205	89	31	"	"	PUNCT
azojete-205	89	32	in	in	ADP
azojete-205	89	33	which	which	PRON
azojete-205	89	34	neural	neural	ADJ
azojete-205	89	35	networks	network	NOUN
azojete-205	89	36	are	be	AUX
azojete-205	89	37	used	use	VERB
azojete-205	89	38	to	to	PART
azojete-205	89	39	predict	predict	VERB
azojete-205	89	40	the	the	DET
azojete-205	89	41	student	student	NOUN
azojete-205	89	42	’s	’s	PART
azojete-205	89	43	performance	performance	NOUN
azojete-205	89	44	(	(	PUNCT
azojete-205	89	45	fausett	fausett	NOUN
azojete-205	89	46	and	and	CCONJ
azojete-205	89	47	elwasif	elwasif	NOUN
azojete-205	89	48	,	,	PUNCT
azojete-205	89	49	1994	1994	NUM
azojete-205	89	50	)	)	PUNCT
azojete-205	89	51	.	.	PUNCT
azojete-205	90	1	"	"	PUNCT
azojete-205	90	2	predicting	predict	VERB
azojete-205	90	3	and	and	CCONJ
azojete-205	90	4	analyzing	analyze	VERB
azojete-205	90	5	secondary	secondary	ADJ
azojete-205	90	6	education	education	NOUN
azojete-205	90	7	placement	placement	NOUN
azojete-205	90	8	-	-	PUNCT
azojete-205	90	9	test	test	NOUN
azojete-205	90	10	scores	score	NOUN
azojete-205	90	11	:	:	PUNCT
azojete-205	90	12	a	a	DET
azojete-205	90	13	data	data	NOUN
azojete-205	90	14	mining	mining	NOUN
azojete-205	90	15	approach	approach	NOUN
azojete-205	90	16	"	"	PUNCT
azojete-205	90	17	by	by	ADP
azojete-205	90	18	şen	şen	PROPN
azojete-205	90	19	,	,	PUNCT
azojete-205	90	20	ucar	ucar	NOUN
azojete-205	90	21	and	and	CCONJ
azojete-205	90	22	delen	delen	PROPN
azojete-205	90	23	(	(	PUNCT
azojete-205	90	24	2012	2012	NUM
azojete-205	90	25	)	)	PUNCT
azojete-205	90	26	relied	rely	VERB
azojete-205	90	27	on	on	ADP
azojete-205	90	28	neural	neural	ADJ
azojete-205	90	29	networks	network	NOUN
azojete-205	90	30	and	and	CCONJ
azojete-205	90	31	decision	decision	NOUN
azojete-205	90	32	trees	tree	NOUN
azojete-205	90	33	to	to	PART
azojete-205	90	34	predict	predict	VERB
azojete-205	90	35	outcomes	outcome	NOUN
azojete-205	90	36	of	of	ADP
azojete-205	90	37	high	high	ADJ
azojete-205	90	38	school	school	NOUN
azojete-205	90	39	students	student	NOUN
azojete-205	90	40	in	in	ADP
azojete-205	90	41	turkey	turkey	NOUN
azojete-205	90	42	.	.	PUNCT
azojete-205	91	1	bayesian	bayesian	NOUN
azojete-205	91	2	networks	network	NOUN
azojete-205	91	3	were	be	AUX
azojete-205	91	4	used	use	VERB
azojete-205	91	5	to	to	PART
azojete-205	91	6	work	work	VERB
azojete-205	91	7	educational	educational	ADJ
azojete-205	91	8	situations	situation	NOUN
azojete-205	91	9	,	,	PUNCT
azojete-205	91	10	the	the	DET
azojete-205	91	11	first	first	ADJ
azojete-205	91	12	of	of	ADP
azojete-205	91	13	them	they	PRON
azojete-205	91	14	is	be	AUX
azojete-205	91	15	"	"	PUNCT
azojete-205	91	16	predicting	predict	VERB
azojete-205	91	17	student	student	NOUN
azojete-205	91	18	's	's	PART
azojete-205	91	19	academic	academic	ADJ
azojete-205	91	20	performance	performance	NOUN
azojete-205	91	21	artificial	artificial	ADJ
azojete-205	91	22	using	use	VERB
azojete-205	91	23	neural	neural	ADJ
azojete-205	91	24	network	network	NOUN
azojete-205	91	25	:	:	PUNCT
azojete-205	91	26	a	a	DET
azojete-205	91	27	case	case	NOUN
azojete-205	91	28	study	study	NOUN
azojete-205	91	29	of	of	ADP
azojete-205	91	30	an	an	DET
azojete-205	91	31	engineering	engineering	NOUN
azojete-205	91	32	course	course	NOUN
azojete-205	91	33	"	"	PUNCT
azojete-205	91	34	(	(	PUNCT
azojete-205	91	35	oladokun	oladokun	NOUN
azojete-205	91	36	et	et	PROPN
azojete-205	91	37	al	al	PROPN
azojete-205	91	38	.	.	PROPN
azojete-205	91	39	,	,	PUNCT
azojete-205	91	40	2008	2008	NUM
azojete-205	91	41	)	)	PUNCT
azojete-205	91	42	where	where	SCONJ
azojete-205	91	43	the	the	DET
azojete-205	91	44	researchers	researcher	NOUN
azojete-205	91	45	explain	explain	VERB
azojete-205	91	46	how	how	SCONJ
azojete-205	91	47	to	to	PART
azojete-205	91	48	predict	predict	VERB
azojete-205	91	49	the	the	DET
azojete-205	91	50	performance	performance	NOUN
azojete-205	91	51	a	a	DET
azojete-205	91	52	candidate	candidate	NOUN
azojete-205	91	53	might	might	AUX
azojete-205	91	54	have	have	VERB
azojete-205	91	55	if	if	SCONJ
azojete-205	91	56	it	it	PRON
azojete-205	91	57	is	be	AUX
azojete-205	91	58	accepted	accept	VERB
azojete-205	91	59	in	in	ADP
azojete-205	91	60	some	some	DET
azojete-205	91	61	university	university	NOUN
azojete-205	91	62	courses	course	NOUN
azojete-205	91	63	.	.	PUNCT
azojete-205	92	1	additionally	additionally	ADV
azojete-205	92	2	,	,	PUNCT
azojete-205	92	3	sundar	sundar	NOUN
azojete-205	92	4	(	(	PUNCT
azojete-205	92	5	2013	2013	NUM
azojete-205	92	6	)	)	PUNCT
azojete-205	92	7	in	in	ADP
azojete-205	92	8	his	his	PRON
azojete-205	92	9	work	work	NOUN
azojete-205	92	10	"	"	PUNCT
azojete-205	92	11	a	a	DET
azojete-205	92	12	comparative	comparative	ADJ
azojete-205	92	13	study	study	NOUN
azojete-205	92	14	for	for	ADP
azojete-205	92	15	predicting	predict	VERB
azojete-205	92	16	students	student	NOUN
azojete-205	92	17	academic	academic	ADJ
azojete-205	92	18	performance	performance	NOUN
azojete-205	92	19	using	use	VERB
azojete-205	92	20	bayesian	bayesian	NOUN
azojete-205	92	21	network	network	NOUN
azojete-205	92	22	classifiers	classifier	NOUN
azojete-205	92	23	"	"	PUNCT
azojete-205	92	24	made	make	VERB
azojete-205	92	25	a	a	DET
azojete-205	92	26	comparison	comparison	NOUN
azojete-205	92	27	of	of	ADP
azojete-205	92	28	obtained	obtain	VERB
azojete-205	92	29	results	result	NOUN
azojete-205	92	30	using	use	VERB
azojete-205	92	31	bayesian	bayesian	NOUN
azojete-205	92	32	networks	network	NOUN
azojete-205	92	33	in	in	ADP
azojete-205	92	34	predicting	predict	VERB
azojete-205	92	35	student	student	NOUN
azojete-205	92	36	performance	performance	NOUN
azojete-205	92	37	;	;	PUNCT
azojete-205	92	38	likewise	likewise	ADV
azojete-205	92	39	,	,	PUNCT
azojete-205	92	40	bhise	bhise	PROPN
azojete-205	92	41	et	et	PROPN
azojete-205	92	42	al	al	PROPN
azojete-205	92	43	.	.	PROPN
azojete-205	92	44	,(2013	,(2013	PUNCT
azojete-205	92	45	)	)	PUNCT
azojete-205	92	46	published	publish	VERB
azojete-205	92	47	"	"	PUNCT
azojete-205	92	48	importance	importance	NOUN
azojete-205	92	49	of	of	ADP
azojete-205	92	50	data	datum	NOUN
azojete-205	92	51	mining	mining	NOUN
azojete-205	92	52	in	in	ADP
azojete-205	92	53	higher	high	ADJ
azojete-205	92	54	education	education	NOUN
azojete-205	92	55	system	system	NOUN
azojete-205	92	56	"	"	PUNCT
azojete-205	92	57	their	their	PRON
azojete-205	92	58	work	work	NOUN
azojete-205	92	59	is	be	AUX
azojete-205	92	60	based	base	VERB
azojete-205	92	61	on	on	ADP
azojete-205	92	62	clustering	cluster	VERB
azojete-205	92	63	to	to	PART
azojete-205	92	64	help	help	VERB
azojete-205	92	65	instructors	instructor	NOUN
azojete-205	92	66	improving	improve	VERB
azojete-205	92	67	student	student	NOUN
azojete-205	92	68	performance	performance	NOUN
azojete-205	92	69	.	.	PUNCT
azojete-205	93	1	today	today	NOUN
azojete-205	93	2	,	,	PUNCT
azojete-205	93	3	educational	educational	ADJ
azojete-205	93	4	and	and	CCONJ
azojete-205	93	5	business	business	NOUN
azojete-205	93	6	information	information	NOUN
azojete-205	93	7	systems	system	NOUN
azojete-205	93	8	store	store	VERB
azojete-205	93	9	large	large	ADJ
azojete-205	93	10	volume	volume	NOUN
azojete-205	93	11	of	of	ADP
azojete-205	93	12	data	datum	NOUN
azojete-205	93	13	and	and	CCONJ
azojete-205	93	14	its	its	PRON
azojete-205	93	15	origin	origin	NOUN
azojete-205	93	16	can	can	AUX
azojete-205	93	17	come	come	VERB
azojete-205	93	18	from	from	ADP
azojete-205	93	19	different	different	ADJ
azojete-205	93	20	sources	source	NOUN
azojete-205	93	21	,	,	PUNCT
azojete-205	93	22	different	different	ADJ
azojete-205	93	23	formats	format	NOUN
azojete-205	93	24	and	and	CCONJ
azojete-205	93	25	different	different	ADJ
azojete-205	93	26	granularity	granularity	NOUN
azojete-205	93	27	levels	level	NOUN
azojete-205	93	28	(	(	PUNCT
azojete-205	93	29	villanueva	villanueva	PROPN
azojete-205	93	30	et	et	PROPN
azojete-205	93	31	al	al	PROPN
azojete-205	93	32	.	.	PROPN
azojete-205	93	33	,	,	PUNCT
azojete-205	93	34	2018	2018	NUM
azojete-205	93	35	)	)	PUNCT
azojete-205	93	36	.	.	PUNCT
azojete-205	94	1	the	the	DET
azojete-205	94	2	problems	problem	NOUN
azojete-205	94	3	of	of	ADP
azojete-205	94	4	business	business	NOUN
azojete-205	94	5	and	and	CCONJ
azojete-205	94	6	educational	educational	ADJ
azojete-205	94	7	data	datum	NOUN
azojete-205	94	8	mining	mining	NOUN
azojete-205	94	9	must	must	AUX
azojete-205	94	10	be	be	AUX
azojete-205	94	11	analyzed	analyze	VERB
azojete-205	94	12	particularly	particularly	ADV
azojete-205	94	13	due	due	ADJ
azojete-205	94	14	to	to	ADP
azojete-205	94	15	their	their	PRON
azojete-205	94	16	specific	specific	ADJ
azojete-205	94	17	objective	objective	NOUN
azojete-205	94	18	determines	determine	VERB
azojete-205	94	19	a	a	DET
azojete-205	94	20	singularity	singularity	NOUN
azojete-205	94	21	when	when	SCONJ
azojete-205	94	22	it	it	PRON
azojete-205	94	23	is	be	AUX
azojete-205	94	24	solved	solve	VERB
azojete-205	94	25	by	by	ADP
azojete-205	94	26	data	datum	NOUN
azojete-205	94	27	mining	mining	NOUN
azojete-205	94	28	techniques	technique	NOUN
azojete-205	94	29	.	.	PUNCT
azojete-205	95	1	for	for	ADP
azojete-205	95	2	instance	instance	NOUN
azojete-205	95	3	,	,	PUNCT
azojete-205	95	4	in	in	ADP
azojete-205	95	5	the	the	DET
azojete-205	95	6	domain	domain	NOUN
azojete-205	95	7	of	of	ADP
azojete-205	95	8	education	education	NOUN
azojete-205	95	9	,	,	PUNCT
azojete-205	95	10	data	datum	NOUN
azojete-205	95	11	mining	mining	NOUN
azojete-205	95	12	for	for	ADP
azojete-205	95	13	education	education	NOUN
azojete-205	95	14	is	be	AUX
azojete-205	95	15	so	so	ADV
azojete-205	95	16	important	important	ADJ
azojete-205	95	17	that	that	SCONJ
azojete-205	95	18	in	in	ADP
azojete-205	95	19	2007	2007	NUM
azojete-205	95	20	an	an	DET
azojete-205	95	21	international	international	ADJ
azojete-205	95	22	organization	organization	NOUN
azojete-205	95	23	dedicated	dedicate	VERB
azojete-205	95	24	to	to	ADP
azojete-205	95	25	researching	research	VERB
azojete-205	95	26	this	this	DET
azojete-205	95	27	discipline	discipline	NOUN
azojete-205	95	28	was	be	AUX
azojete-205	95	29	founded	found	VERB
azojete-205	95	30	.	.	PUNCT
azojete-205	96	1	such	such	ADJ
azojete-205	96	2	is	be	AUX
azojete-205	96	3	the	the	DET
azojete-205	96	4	importance	importance	NOUN
azojete-205	96	5	has	have	AUX
azojete-205	96	6	prompted	prompt	VERB
azojete-205	96	7	this	this	DET
azojete-205	96	8	research	research	NOUN
azojete-205	96	9	area	area	NOUN
azojete-205	96	10	that	that	SCONJ
azojete-205	96	11	it	it	PRON
azojete-205	96	12	is	be	AUX
azojete-205	96	13	estimated	estimate	VERB
azojete-205	96	14	that	that	SCONJ
azojete-205	96	15	by	by	ADP
azojete-205	96	16	the	the	DET
azojete-205	96	17	year	year	NOUN
azojete-205	96	18	2022	2022	NUM
azojete-205	96	19	all	all	DET
azojete-205	96	20	research	research	NOUN
azojete-205	96	21	related	relate	VERB
azojete-205	96	22	to	to	ADP
azojete-205	96	23	education	education	NOUN
azojete-205	96	24	will	will	AUX
azojete-205	96	25	involve	involve	VERB
azojete-205	96	26	analysis	analysis	NOUN
azojete-205	96	27	and	and	CCONJ
azojete-205	96	28	data	datum	NOUN
azojete-205	96	29	mining	mining	NOUN
azojete-205	96	30	(	(	PUNCT
azojete-205	96	31	baker	baker	PROPN
azojete-205	96	32	and	and	CCONJ
azojete-205	96	33	yacef	yacef	PROPN
azojete-205	96	34	,	,	PUNCT
azojete-205	96	35	2009	2009	NUM
azojete-205	96	36	)	)	PUNCT
azojete-205	96	37	.	.	PUNCT
azojete-205	97	1	2.5	2.5	NUM
azojete-205	97	2	feedforward	feedforward	ADJ
azojete-205	97	3	neural	neural	ADJ
azojete-205	97	4	network	network	NOUN
azojete-205	97	5	one	one	NUM
azojete-205	97	6	of	of	ADP
azojete-205	97	7	the	the	DET
azojete-205	97	8	simplest	simple	ADJ
azojete-205	97	9	feedforward	feedforward	ADJ
azojete-205	97	10	neural	neural	ADJ
azojete-205	97	11	networks	network	NOUN
azojete-205	97	12	(	(	PUNCT
azojete-205	97	13	ffnn	ffnn	NOUN
azojete-205	97	14	)	)	PUNCT
azojete-205	97	15	,	,	PUNCT
azojete-205	97	16	such	such	ADJ
azojete-205	97	17	as	as	ADP
azojete-205	97	18	in	in	ADP
azojete-205	97	19	figure	figure	NOUN
azojete-205	97	20	3	3	NUM
azojete-205	97	21	,	,	PUNCT
azojete-205	97	22	consists	consist	VERB
azojete-205	97	23	of	of	ADP
azojete-205	97	24	three	three	NUM
azojete-205	97	25	layers	layer	NOUN
azojete-205	97	26	:	:	PUNCT
azojete-205	97	27	an	an	DET
azojete-205	97	28	input	input	NOUN
azojete-205	97	29	layer	layer	NOUN
azojete-205	97	30	,	,	PUNCT
azojete-205	97	31	hidden	hide	VERB
azojete-205	97	32	layer	layer	NOUN
azojete-205	97	33	and	and	CCONJ
azojete-205	97	34	output	output	NOUN
azojete-205	97	35	layer	layer	NOUN
azojete-205	97	36	.	.	PUNCT
azojete-205	98	1	in	in	ADP
azojete-205	98	2	each	each	DET
azojete-205	98	3	layer	layer	NOUN
azojete-205	98	4	there	there	PRON
azojete-205	98	5	are	be	VERB
azojete-205	98	6	one	one	NUM
azojete-205	98	7	or	or	CCONJ
azojete-205	98	8	more	more	ADJ
azojete-205	98	9	processing	processing	NOUN
azojete-205	98	10	elements	element	NOUN
azojete-205	98	11	(	(	PUNCT
azojete-205	98	12	pes	pes	PROPN
azojete-205	98	13	)	)	PUNCT
azojete-205	98	14	(	(	PUNCT
azojete-205	98	15	singh	singh	PROPN
azojete-205	98	16	and	and	CCONJ
azojete-205	98	17	chauhan	chauhan	PROPN
azojete-205	98	18	,	,	PUNCT
azojete-205	98	19	2009	2009	NUM
azojete-205	98	20	)	)	PUNCT
azojete-205	98	21	.	.	PUNCT
azojete-205	99	1	pes	pes	PROPN
azojete-205	99	2	is	be	AUX
azojete-205	99	3	meant	mean	VERB
azojete-205	99	4	to	to	PART
azojete-205	99	5	simulate	simulate	VERB
azojete-205	99	6	the	the	DET
azojete-205	99	7	neurons	neuron	NOUN
azojete-205	99	8	in	in	ADP
azojete-205	99	9	the	the	DET
azojete-205	99	10	brain	brain	NOUN
azojete-205	99	11	and	and	CCONJ
azojete-205	99	12	this	this	PRON
azojete-205	99	13	is	be	AUX
azojete-205	99	14	why	why	SCONJ
azojete-205	99	15	they	they	PRON
azojete-205	99	16	are	be	AUX
azojete-205	99	17	often	often	ADV
azojete-205	99	18	referred	refer	VERB
azojete-205	99	19	to	to	ADP
azojete-205	99	20	as	as	ADP
azojete-205	99	21	neurons	neuron	NOUN
azojete-205	99	22	or	or	CCONJ
azojete-205	99	23	nodes	node	NOUN
azojete-205	99	24	.	.	PUNCT
azojete-205	100	1	x1	x1	NUM
azojete-205	100	2	xn	xn	NOUN
azojete-205	100	3	figure	figure	NOUN
azojete-205	100	4	3	3	NUM
azojete-205	100	5	:	:	PUNCT
azojete-205	100	6	feedforward	feedforward	ADJ
azojete-205	100	7	neural	neural	ADJ
azojete-205	100	8	network	network	NOUN
azojete-205	100	9	a	a	DET
azojete-205	100	10	pe	pe	PROPN
azojete-205	100	11	receives	receive	VERB
azojete-205	100	12	inputs	input	NOUN
azojete-205	100	13	from	from	ADP
azojete-205	100	14	either	either	CCONJ
azojete-205	100	15	the	the	DET
azojete-205	100	16	outside	outside	ADJ
azojete-205	100	17	world	world	NOUN
azojete-205	100	18	.	.	PUNCT
azojete-205	101	1	the	the	DET
azojete-205	101	2	simplified	simplified	ADJ
azojete-205	101	3	process	process	NOUN
azojete-205	101	4	for	for	ADP
azojete-205	101	5	training	train	VERB
azojete-205	101	6	a	a	DET
azojete-205	101	7	ffnn	ffnn	NOUN
azojete-205	101	8	is	be	AUX
azojete-205	101	9	as	as	SCONJ
azojete-205	101	10	follows	follow	VERB
azojete-205	101	11	:	:	PUNCT
azojete-205	101	12	1	1	X
azojete-205	101	13	.	.	X
azojete-205	101	14	input	input	NOUN
azojete-205	101	15	data	datum	NOUN
azojete-205	101	16	is	be	AUX
azojete-205	101	17	presented	present	VERB
azojete-205	101	18	to	to	ADP
azojete-205	101	19	the	the	DET
azojete-205	101	20	network	network	NOUN
azojete-205	101	21	and	and	CCONJ
azojete-205	101	22	propagated	propagate	VERB
azojete-205	101	23	through	through	ADP
azojete-205	101	24	the	the	DET
azojete-205	101	25	network	network	NOUN
azojete-205	101	26	until	until	SCONJ
azojete-205	101	27	it	it	PRON
azojete-205	101	28	reaches	reach	VERB
azojete-205	101	29	the	the	DET
azojete-205	101	30	output	output	NOUN
azojete-205	101	31	layer	layer	NOUN
azojete-205	101	32	.	.	PUNCT
azojete-205	102	1	this	this	DET
azojete-205	102	2	forward	forward	ADJ
azojete-205	102	3	process	process	NOUN
azojete-205	102	4	produces	produce	VERB
azojete-205	102	5	a	a	DET
azojete-205	102	6	predicted	predict	VERB
azojete-205	102	7	output	output	NOUN
azojete-205	102	8	.	.	PUNCT
azojete-205	103	1	pe	pe	INTJ
azojete-205	103	2	pe	pe	INTJ
azojete-205	103	3	pe	pe	X
azojete-205	103	4	file:///c:/users	file:///c:/user	NOUN
azojete-205	103	5	/	/	SYM
azojete-205	103	6	user	user	NOUN
azojete-205	103	7	/	/	SYM
azojete-205	103	8	downloads	download	NOUN
azojete-205	103	9	/	/	SYM
azojete-205	103	10	azojete143	azojete143	PROPN
azojete-205	103	11	/	/	SYM
azojete-205	103	12	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	103	13	abah	abah	NOUN
azojete-205	103	14	et	et	PROPN
azojete-205	103	15	al	al	PROPN
azojete-205	103	16	:	:	PUNCT
azojete-205	103	17	computational	computational	ADJ
azojete-205	103	18	model	model	NOUN
azojete-205	103	19	of	of	ADP
azojete-205	103	20	artificial	artificial	ADJ
azojete-205	103	21	neural	neural	ADJ
azojete-205	103	22	networks	network	NOUN
azojete-205	103	23	and	and	CCONJ
azojete-205	103	24	its	its	PRON
azojete-205	103	25	applications	application	NOUN
azojete-205	103	26	in	in	ADP
azojete-205	103	27	data	datum	NOUN
azojete-205	103	28	mining	mining	NOUN
azojete-205	103	29	.	.	PUNCT
azojete-205	104	1	azojete,16(2):243	azojete,16(2):243	PROPN
azojete-205	104	2	-	-	PUNCT
azojete-205	104	3	254	254	NUM
azojete-205	104	4	.	.	PUNCT
azojete-205	105	1	issn	issn	PROPN
azojete-205	105	2	1596	1596	NUM
azojete-205	105	3	-	-	SYM
azojete-205	105	4	2490	2490	NUM
azojete-205	105	5	;	;	PUNCT
azojete-205	105	6	e	e	X
azojete-205	105	7	-	-	NOUN
azojete-205	105	8	issn	issn	VERB
azojete-205	105	9	2545	2545	NUM
azojete-205	105	10	-	-	SYM
azojete-205	105	11	5818	5818	NUM
azojete-205	105	12	,	,	PUNCT
azojete-205	105	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	105	14	corresponding	correspond	VERB
azojete-205	105	15	author	author	NOUN
azojete-205	105	16	’s	’s	PART
azojete-205	105	17	e	e	NOUN
azojete-205	105	18	-	-	NOUN
azojete-205	105	19	mail	mail	NOUN
azojete-205	105	20	address	address	NOUN
azojete-205	105	21	:	:	PUNCT
azojete-205	105	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	VERB
azojete-205	105	23	248	248	NUM
azojete-205	105	24	2	2	NUM
azojete-205	105	25	.	.	PUNCT
azojete-205	106	1	the	the	DET
azojete-205	106	2	predicted	predict	VERB
azojete-205	106	3	output	output	NOUN
azojete-205	106	4	is	be	AUX
azojete-205	106	5	subtracted	subtract	VERB
azojete-205	106	6	from	from	ADP
azojete-205	106	7	the	the	DET
azojete-205	106	8	actual	actual	ADJ
azojete-205	106	9	output	output	NOUN
azojete-205	106	10	and	and	CCONJ
azojete-205	106	11	an	an	DET
azojete-205	106	12	error	error	NOUN
azojete-205	106	13	value	value	NOUN
azojete-205	106	14	for	for	ADP
azojete-205	106	15	the	the	DET
azojete-205	106	16	networks	network	NOUN
azojete-205	106	17	is	be	AUX
azojete-205	106	18	calculated	calculate	VERB
azojete-205	106	19	.	.	PUNCT
azojete-205	107	1	3	3	X
azojete-205	107	2	.	.	X
azojete-205	107	3	the	the	DET
azojete-205	107	4	neural	neural	ADJ
azojete-205	107	5	network	network	NOUN
azojete-205	107	6	then	then	ADV
azojete-205	107	7	uses	use	VERB
azojete-205	107	8	supervised	supervised	ADJ
azojete-205	107	9	learning	learning	NOUN
azojete-205	107	10	,	,	PUNCT
azojete-205	107	11	which	which	PRON
azojete-205	107	12	in	in	ADP
azojete-205	107	13	most	most	ADJ
azojete-205	107	14	cases	case	NOUN
azojete-205	107	15	is	be	AUX
azojete-205	107	16	back	back	ADJ
azojete-205	107	17	propagation	propagation	NOUN
azojete-205	107	18	,	,	PUNCT
azojete-205	107	19	to	to	PART
azojete-205	107	20	train	train	VERB
azojete-205	107	21	the	the	DET
azojete-205	107	22	network	network	NOUN
azojete-205	107	23	.	.	PUNCT
azojete-205	108	1	back	back	ADJ
azojete-205	108	2	propagation	propagation	NOUN
azojete-205	108	3	is	be	AUX
azojete-205	108	4	a	a	DET
azojete-205	108	5	learning	learn	VERB
azojete-205	108	6	algorithm	algorithm	NOUN
azojete-205	108	7	for	for	ADP
azojete-205	108	8	adjusting	adjust	VERB
azojete-205	108	9	the	the	DET
azojete-205	108	10	weights	weight	NOUN
azojete-205	108	11	.	.	PUNCT
azojete-205	109	1	it	it	PRON
azojete-205	109	2	starts	start	VERB
azojete-205	109	3	with	with	ADP
azojete-205	109	4	the	the	DET
azojete-205	109	5	weights	weight	NOUN
azojete-205	109	6	between	between	ADP
azojete-205	109	7	the	the	DET
azojete-205	109	8	output	output	NOUN
azojete-205	109	9	layer	layer	NOUN
azojete-205	109	10	pe	pe	X
azojete-205	109	11	’s	’s	NOUN
azojete-205	110	1	and	and	CCONJ
azojete-205	110	2	the	the	DET
azojete-205	110	3	last	last	ADJ
azojete-205	110	4	hidden	hide	VERB
azojete-205	110	5	layer	layer	NOUN
azojete-205	110	6	pe	pe	X
azojete-205	110	7	’s	’	NOUN
azojete-205	110	8	and	and	CCONJ
azojete-205	110	9	works	work	VERB
azojete-205	110	10	backwards	backwards	ADV
azojete-205	110	11	through	through	ADP
azojete-205	110	12	the	the	DET
azojete-205	110	13	network	network	NOUN
azojete-205	110	14	.	.	PUNCT
azojete-205	111	1	4	4	X
azojete-205	111	2	.	.	X
azojete-205	111	3	once	once	ADV
azojete-205	111	4	back	back	ADJ
azojete-205	111	5	propagation	propagation	NOUN
azojete-205	111	6	has	have	AUX
azojete-205	111	7	finished	finish	VERB
azojete-205	111	8	,	,	PUNCT
azojete-205	111	9	the	the	DET
azojete-205	111	10	forward	forward	ADJ
azojete-205	111	11	process	process	NOUN
azojete-205	111	12	starts	start	VERB
azojete-205	111	13	again	again	ADV
azojete-205	111	14	,	,	PUNCT
azojete-205	111	15	and	and	CCONJ
azojete-205	111	16	this	this	DET
azojete-205	111	17	cycle	cycle	NOUN
azojete-205	111	18	is	be	AUX
azojete-205	111	19	continued	continue	VERB
azojete-205	111	20	until	until	SCONJ
azojete-205	111	21	the	the	DET
azojete-205	111	22	error	error	NOUN
azojete-205	111	23	between	between	ADP
azojete-205	111	24	predicted	predict	VERB
azojete-205	111	25	and	and	CCONJ
azojete-205	111	26	actual	actual	ADJ
azojete-205	111	27	outputs	output	NOUN
azojete-205	111	28	is	be	AUX
azojete-205	111	29	minimized	minimize	VERB
azojete-205	111	30	.	.	PUNCT
azojete-205	112	1	2.6	2.6	NUM
azojete-205	112	2	artificial	artificial	ADJ
azojete-205	112	3	neuron	neuron	NOUN
azojete-205	112	4	using	use	VERB
azojete-205	112	5	back	back	ADP
azojete-205	112	6	propagation	propagation	NOUN
azojete-205	112	7	learning	learn	VERB
azojete-205	112	8	the	the	DET
azojete-205	112	9	mathematical	mathematical	ADJ
azojete-205	112	10	formulae	formulae	NOUN
azojete-205	112	11	used	use	VERB
azojete-205	112	12	for	for	ADP
azojete-205	112	13	neural	neural	ADJ
azojete-205	112	14	network	network	NOUN
azojete-205	112	15	in	in	ADP
azojete-205	112	16	back	back	ADJ
azojete-205	112	17	propagation	propagation	NOUN
azojete-205	112	18	learning	learn	VERB
azojete-205	112	19	algorithm	algorithm	NOUN
azojete-205	112	20	according	accord	VERB
azojete-205	112	21	to	to	ADP
azojete-205	112	22	dhar	dhar	PROPN
azojete-205	112	23	et	et	PROPN
azojete-205	112	24	al	al	PROPN
azojete-205	112	25	.	.	PROPN
azojete-205	112	26	(	(	PUNCT
azojete-205	112	27	1996	1996	NUM
azojete-205	112	28	)	)	PUNCT
azojete-205	112	29	presented	present	VERB
azojete-205	112	30	in	in	ADP
azojete-205	112	31	figure	figure	NOUN
azojete-205	112	32	4	4	NUM
azojete-205	112	33	,	,	PUNCT
azojete-205	112	34	was	be	AUX
azojete-205	112	35	used	use	VERB
azojete-205	112	36	.	.	PUNCT
azojete-205	113	1	figure	figure	VERB
azojete-205	113	2	4	4	NUM
azojete-205	113	3	:	:	PUNCT
azojete-205	113	4	artificial	artificial	ADJ
azojete-205	113	5	neuron	neuron	NOUN
azojete-205	113	6	using	use	VERB
azojete-205	113	7	back	back	ADP
azojete-205	113	8	propagation	propagation	NOUN
azojete-205	113	9	learning	learn	VERB
azojete-205	113	10	figure	figure	NOUN
azojete-205	113	11	4	4	NUM
azojete-205	113	12	depicts	depict	VERB
azojete-205	113	13	a	a	DET
azojete-205	113	14	single	single	ADJ
azojete-205	113	15	artificial	artificial	ADJ
azojete-205	113	16	neuron	neuron	NOUN
azojete-205	113	17	and	and	CCONJ
azojete-205	113	18	the	the	DET
azojete-205	113	19	actual	actual	ADJ
azojete-205	113	20	computation	computation	NOUN
azojete-205	113	21	that	that	PRON
azojete-205	113	22	occurs	occur	VERB
azojete-205	113	23	in	in	ADP
azojete-205	113	24	neural	neural	ADJ
azojete-205	113	25	network	network	NOUN
azojete-205	113	26	in	in	ADP
azojete-205	113	27	a	a	DET
azojete-205	113	28	single	single	ADJ
azojete-205	113	29	epoch	epoch	NOUN
azojete-205	113	30	through	through	ADP
azojete-205	113	31	the	the	DET
azojete-205	113	32	data	datum	NOUN
azojete-205	113	33	.	.	PUNCT
azojete-205	114	1	2.7	2.7	NUM
azojete-205	114	2	fitting	fit	VERB
azojete-205	114	3	a	a	DET
azojete-205	114	4	network	network	NOUN
azojete-205	114	5	to	to	PART
azojete-205	114	6	data	data	VERB
azojete-205	114	7	the	the	DET
azojete-205	114	8	equations	equation	NOUN
azojete-205	114	9	in	in	ADP
azojete-205	114	10	figure	figure	NOUN
azojete-205	114	11	4	4	NUM
azojete-205	114	12	provides	provide	VERB
azojete-205	114	13	a	a	DET
azojete-205	114	14	good	good	ADJ
azojete-205	114	15	understanding	understanding	NOUN
azojete-205	114	16	on	on	ADP
azojete-205	114	17	how	how	SCONJ
azojete-205	114	18	neural	neural	ADJ
azojete-205	114	19	network	network	NOUN
azojete-205	114	20	process	process	NOUN
azojete-205	114	21	data	datum	NOUN
azojete-205	114	22	.	.	PUNCT
azojete-205	115	1	however	however	ADV
azojete-205	115	2	,	,	PUNCT
azojete-205	115	3	for	for	ADP
azojete-205	115	4	the	the	DET
azojete-205	115	5	purpose	purpose	NOUN
azojete-205	115	6	of	of	ADP
azojete-205	115	7	clarity	clarity	NOUN
azojete-205	115	8	and	and	CCONJ
azojete-205	115	9	understanding	understanding	NOUN
azojete-205	115	10	,	,	PUNCT
azojete-205	115	11	we	we	PRON
azojete-205	115	12	illustrate	illustrate	VERB
azojete-205	115	13	the	the	DET
azojete-205	115	14	actual	actual	ADJ
azojete-205	115	15	computation	computation	NOUN
azojete-205	115	16	that	that	PRON
azojete-205	115	17	occurs	occur	VERB
azojete-205	115	18	in	in	ADP
azojete-205	115	19	neural	neural	ADJ
azojete-205	115	20	network	network	NOUN
azojete-205	115	21	in	in	ADP
azojete-205	115	22	a	a	DET
azojete-205	115	23	single	single	ADJ
azojete-205	115	24	epoch	epoch	NOUN
azojete-205	115	25	through	through	ADP
azojete-205	115	26	the	the	DET
azojete-205	115	27	data	datum	NOUN
azojete-205	115	28	.	.	PUNCT
azojete-205	116	1	typically	typically	ADV
azojete-205	116	2	,	,	PUNCT
azojete-205	116	3	neural	neural	ADJ
azojete-205	116	4	network	network	NOUN
azojete-205	116	5	performs	perform	VERB
azojete-205	116	6	exceptionally	exceptionally	ADV
azojete-205	116	7	well	well	ADV
azojete-205	116	8	with	with	ADP
azojete-205	116	9	large	large	ADJ
azojete-205	116	10	dataset	dataset	NOUN
azojete-205	116	11	but	but	CCONJ
azojete-205	116	12	for	for	ADP
azojete-205	116	13	the	the	DET
azojete-205	116	14	purpose	purpose	NOUN
azojete-205	116	15	of	of	ADP
azojete-205	116	16	this	this	DET
azojete-205	116	17	illustration	illustration	NOUN
azojete-205	116	18	a	a	DET
azojete-205	116	19	small	small	ADJ
azojete-205	116	20	dataset	dataset	NOUN
azojete-205	116	21	is	be	AUX
azojete-205	116	22	used	use	VERB
azojete-205	116	23	as	as	SCONJ
azojete-205	116	24	shown	show	VERB
azojete-205	116	25	in	in	ADP
azojete-205	116	26	table	table	NOUN
azojete-205	116	27	1	1	NUM
azojete-205	116	28	.	.	PUNCT
azojete-205	116	29	refer	refer	VERB
azojete-205	116	30	to	to	PART
azojete-205	116	31	figure	figure	VERB
azojete-205	116	32	5	5	NUM
azojete-205	116	33	for	for	ADP
azojete-205	116	34	the	the	DET
azojete-205	116	35	simulated	simulate	VERB
azojete-205	116	36	neural	neural	ADJ
azojete-205	116	37	network	network	NOUN
azojete-205	116	38	for	for	ADP
azojete-205	116	39	the	the	DET
azojete-205	116	40	dataset	dataset	NOUN
azojete-205	116	41	provided	provide	VERB
azojete-205	116	42	in	in	ADP
azojete-205	116	43	table	table	NOUN
azojete-205	116	44	1	1	NUM
azojete-205	116	45	.	.	PUNCT
azojete-205	116	46	table	table	NOUN
azojete-205	116	47	1	1	NUM
azojete-205	116	48	:	:	PUNCT
azojete-205	116	49	sample	sample	NOUN
azojete-205	116	50	dataset	dataset	NOUN
azojete-205	116	51	observation	observation	NOUN
azojete-205	116	52	milk	milk	NOUN
azojete-205	116	53	score	score	NOUN
azojete-205	116	54	sugar	sugar	NOUN
azojete-205	116	55	score	score	NOUN
azojete-205	116	56	price	price	NOUN
azojete-205	116	57	1	1	NUM
azojete-205	116	58	0.2	0.2	NUM
azojete-205	116	59	0.9	0.9	NUM
azojete-205	116	60	0.65	0.65	NUM
azojete-205	116	61	2	2	NUM
azojete-205	116	62	0.1	0.1	NUM
azojete-205	116	63	0.1	0.1	NUM
azojete-205	116	64	0.34	0.34	NUM
azojete-205	116	65	3	3	NUM
azojete-205	116	66	0.2	0.2	NUM
azojete-205	116	67	0.4	0.4	NUM
azojete-205	116	68	0.42	0.42	NUM
azojete-205	116	69	4	4	NUM
azojete-205	116	70	0.2	0.2	NUM
azojete-205	116	71	0.5	0.5	NUM
azojete-205	116	72	0.49	0.49	NUM
azojete-205	116	73	5	5	NUM
azojete-205	116	74	0.4	0.4	NUM
azojete-205	116	75	0.5	0.5	NUM
azojete-205	116	76	0.72	0.72	NUM
azojete-205	116	77	6	6	NUM
azojete-205	116	78	0.3	0.3	NUM
azojete-205	116	79	0.8	0.8	NUM
azojete-205	116	80	0.83	0.83	NUM
azojete-205	116	81	http://www.azojete.com.ng	http://www.azojete.com.ng	ADJ
azojete-205	116	82	arid	arid	NOUN
azojete-205	116	83	zone	zone	PROPN
azojete-205	116	84	journal	journal	NOUN
azojete-205	116	85	of	of	ADP
azojete-205	116	86	engineering	engineering	NOUN
azojete-205	116	87	,	,	PUNCT
azojete-205	116	88	technology	technology	NOUN
azojete-205	116	89	and	and	CCONJ
azojete-205	116	90	environment	environment	NOUN
azojete-205	116	91	,	,	PUNCT
azojete-205	116	92	june	june	PROPN
azojete-205	116	93	,	,	PUNCT
azojete-205	116	94	2020	2020	NUM
azojete-205	116	95	;	;	PUNCT
azojete-205	116	96	vol	vol	NOUN
azojete-205	116	97	.	.	NOUN
azojete-205	117	1	16(2	16(2	NUM
azojete-205	117	2	)	)	PUNCT
azojete-205	117	3	243	243	NUM
azojete-205	117	4	-	-	SYM
azojete-205	117	5	254	254	NUM
azojete-205	117	6	.	.	PUNCT
azojete-205	118	1	issn	issn	PROPN
azojete-205	118	2	1596	1596	NUM
azojete-205	118	3	-	-	SYM
azojete-205	118	4	2490	2490	NUM
azojete-205	118	5	;	;	PUNCT
azojete-205	118	6	e	e	X
azojete-205	118	7	-	-	NOUN
azojete-205	118	8	issn	issn	VERB
azojete-205	118	9	2545	2545	NUM
azojete-205	118	10	-	-	SYM
azojete-205	118	11	5818	5818	NUM
azojete-205	118	12	;	;	PUNCT
azojete-205	118	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	118	14	corresponding	correspond	VERB
azojete-205	118	15	author	author	NOUN
azojete-205	118	16	’s	’s	PART
azojete-205	118	17	e	e	NOUN
azojete-205	118	18	-	-	NOUN
azojete-205	118	19	mail	mail	NOUN
azojete-205	118	20	address	address	NOUN
azojete-205	118	21	:	:	PUNCT
azojete-205	118	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	NOUN
azojete-205	118	23	249	249	NUM
azojete-205	118	24	figure	figure	NOUN
azojete-205	118	25	5	5	NUM
azojete-205	118	26	:	:	PUNCT
azojete-205	118	27	simulated	simulate	VERB
azojete-205	118	28	neural	neural	ADJ
azojete-205	118	29	network	network	NOUN
azojete-205	118	30	considering	consider	VERB
azojete-205	118	31	the	the	DET
azojete-205	118	32	first	first	ADJ
azojete-205	118	33	observation	observation	NOUN
azojete-205	118	34	:	:	PUNCT
azojete-205	118	35	for	for	ADP
azojete-205	118	36	the	the	DET
azojete-205	118	37	input	input	NOUN
azojete-205	118	38	at	at	ADP
azojete-205	118	39	the	the	DET
azojete-205	118	40	input	input	NOUN
azojete-205	118	41	layer	layer	NOUN
azojete-205	118	42	;	;	PUNCT
azojete-205	118	43	milk	milk	NOUN
azojete-205	118	44	=	=	SYM
azojete-205	118	45	0.2	0.2	NUM
azojete-205	118	46	and	and	CCONJ
azojete-205	118	47	sugar	sugar	NOUN
azojete-205	118	48	=	=	SYM
azojete-205	118	49	0.9	0.9	NUM
azojete-205	118	50	,	,	PUNCT
azojete-205	118	51	the	the	DET
azojete-205	118	52	output	output	NOUN
azojete-205	118	53	of	of	ADP
azojete-205	118	54	this	this	DET
azojete-205	118	55	layer	layer	NOUN
azojete-205	118	56	is	be	AUX
azojete-205	118	57	x1	x1	PROPN
azojete-205	118	58	=	=	ADJ
azojete-205	118	59	0.2	0.2	NUM
azojete-205	118	60	and	and	CCONJ
azojete-205	118	61	x2	x2	NOUN
azojete-205	118	62	=	=	NOUN
azojete-205	118	63	0.9	0.9	NUM
azojete-205	118	64	.	.	PUNCT
azojete-205	119	1	hidden	hide	VERB
azojete-205	119	2	layer	layer	NOUN
azojete-205	119	3	nodes	node	NOUN
azojete-205	119	4	take	take	VERB
azojete-205	119	5	as	as	SCONJ
azojete-205	119	6	input	input	NOUN
azojete-205	119	7	the	the	DET
azojete-205	119	8	output	output	NOUN
azojete-205	119	9	values	value	NOUN
azojete-205	119	10	from	from	ADP
azojete-205	119	11	the	the	DET
azojete-205	119	12	input	input	NOUN
azojete-205	119	13	layer	layer	NOUN
azojete-205	119	14	.	.	PUNCT
azojete-205	120	1	the	the	DET
azojete-205	120	2	hidden	hide	VERB
azojete-205	120	3	layer	layer	NOUN
azojete-205	120	4	in	in	ADP
azojete-205	120	5	this	this	DET
azojete-205	120	6	example	example	NOUN
azojete-205	120	7	consists	consist	VERB
azojete-205	120	8	of	of	ADP
azojete-205	120	9	3	3	NUM
azojete-205	120	10	nodes	node	NOUN
azojete-205	120	11	.	.	PUNCT
azojete-205	121	1	each	each	PRON
azojete-205	121	2	of	of	ADP
azojete-205	121	3	the	the	DET
azojete-205	121	4	nodes	node	NOUN
azojete-205	121	5	receives	receive	VERB
azojete-205	121	6	input	input	NOUN
azojete-205	121	7	from	from	ADP
azojete-205	121	8	all	all	DET
azojete-205	121	9	the	the	DET
azojete-205	121	10	input	input	NOUN
azojete-205	121	11	nodes	node	NOUN
azojete-205	121	12	(	(	PUNCT
azojete-205	121	13	figure	figure	NOUN
azojete-205	121	14	4	4	NUM
azojete-205	121	15	)	)	PUNCT
azojete-205	121	16	.	.	PUNCT
azojete-205	122	1	to	to	PART
azojete-205	122	2	compute	compute	VERB
azojete-205	122	3	the	the	DET
azojete-205	122	4	output	output	NOUN
azojete-205	122	5	of	of	ADP
azojete-205	122	6	a	a	DET
azojete-205	122	7	hidden	hide	VERB
azojete-205	122	8	layer	layer	NOUN
azojete-205	122	9	node	node	NOUN
azojete-205	122	10	,	,	PUNCT
azojete-205	122	11	the	the	DET
azojete-205	122	12	weighted	weighted	ADJ
azojete-205	122	13	sum	sum	NOUN
azojete-205	122	14	of	of	ADP
azojete-205	122	15	the	the	DET
azojete-205	122	16	inputs	input	NOUN
azojete-205	122	17	is	be	AUX
azojete-205	122	18	computed	compute	VERB
azojete-205	122	19	and	and	CCONJ
azojete-205	122	20	then	then	ADV
azojete-205	122	21	applies	apply	VERB
azojete-205	122	22	a	a	DET
azojete-205	122	23	certain	certain	ADJ
azojete-205	122	24	function	function	NOUN
azojete-205	122	25	to	to	ADP
azojete-205	122	26	it	it	PRON
azojete-205	122	27	.	.	PUNCT
azojete-205	123	1	3	3	X
azojete-205	123	2	.	.	X
azojete-205	123	3	experimental	experimental	ADJ
azojete-205	123	4	procedure	procedure	NOUN
azojete-205	123	5	the	the	DET
azojete-205	123	6	procedure	procedure	NOUN
azojete-205	123	7	describes	describe	VERB
azojete-205	123	8	the	the	DET
azojete-205	123	9	steps	step	NOUN
azojete-205	123	10	involved	involve	VERB
azojete-205	123	11	in	in	ADP
azojete-205	123	12	the	the	DET
azojete-205	123	13	computational	computational	ADJ
azojete-205	123	14	process	process	NOUN
azojete-205	123	15	.	.	PUNCT
azojete-205	124	1	first	first	ADV
azojete-205	124	2	we	we	PRON
azojete-205	124	3	describe	describe	VERB
azojete-205	124	4	the	the	DET
azojete-205	124	5	artificial	artificial	ADJ
azojete-205	124	6	neural	neural	ADJ
azojete-205	124	7	network	network	NOUN
azojete-205	124	8	as	as	SCONJ
azojete-205	124	9	follows	follow	VERB
azojete-205	124	10	;	;	PUNCT
azojete-205	124	11	3.1	3.1	NUM
azojete-205	124	12	the	the	DET
azojete-205	124	13	artificial	artificial	ADJ
azojete-205	124	14	neural	neural	ADJ
azojete-205	124	15	network	network	NOUN
azojete-205	124	16	model	model	NOUN
azojete-205	124	17	let	let	VERB
azojete-205	124	18	x1	x1	NUM
azojete-205	124	19	,	,	PUNCT
azojete-205	124	20	x2	x2	PROPN
azojete-205	124	21	,	,	PUNCT
azojete-205	124	22	…	…	PUNCT
azojete-205	124	23	,	,	PUNCT
azojete-205	124	24	xp	xp	ADV
azojete-205	124	25	be	be	AUX
azojete-205	124	26	the	the	DET
azojete-205	124	27	set	set	NOUN
azojete-205	124	28	of	of	ADP
azojete-205	124	29	input	input	NOUN
azojete-205	124	30	values	value	NOUN
azojete-205	124	31	to	to	ADP
azojete-205	124	32	a	a	DET
azojete-205	124	33	node	node	NOUN
azojete-205	124	34	,	,	PUNCT
azojete-205	124	35	the	the	DET
azojete-205	124	36	weighted	weight	VERB
azojete-205	124	37	sum	sum	NOUN
azojete-205	124	38	is	be	AUX
azojete-205	124	39	computed	compute	VERB
azojete-205	124	40	thus	thus	ADV
azojete-205	124	41	;	;	PUNCT
azojete-205	124	42	from	from	ADP
azojete-205	124	43	the	the	DET
azojete-205	124	44	general	general	ADJ
azojete-205	124	45	algorithm	algorithm	NOUN
azojete-205	124	46	λj	λj	PROPN
azojete-205	125	1	+	+	CCONJ
azojete-205	125	2	i=1	i=1	PROPN
azojete-205	125	3	p	p	X
azojete-205	125	4	wij	wij	PROPN
azojete-205	125	5	xi	xi	INTJ
azojete-205	125	6	�	�	PROPN
azojete-205	125	7	we	we	PRON
azojete-205	125	8	have	have	VERB
azojete-205	125	9	;	;	PUNCT
azojete-205	125	10			X
azojete-205	125	11			PROPN
azojete-205	126	1			ADJ
azojete-205	127	1	n	n	NOUN
azojete-205	128	1	i	i	PRON
azojete-205	128	2	iijjin	iijjin	VERB
azojete-205	128	3	xwby	xwby	PROPN
azojete-205	128	4	1	1	NUM
azojete-205	128	5	(	(	PUNCT
azojete-205	128	6	3	3	NUM
azojete-205	128	7	)	)	PUNCT
azojete-205	128	8	where	where	SCONJ
azojete-205	128	9	:	:	PUNCT
azojete-205	128	10	b	b	X
azojete-205	128	11	,	,	PUNCT
azojete-205	128	12	wi	wi	PROPN
azojete-205	128	13	,	,	PUNCT
azojete-205	128	14	j,	j,	PROPN
azojete-205	128	15	…	…	PUNCT
azojete-205	128	16	,wnj	,wnj	PUNCT
azojete-205	128	17	are	be	AUX
azojete-205	128	18	weights	weight	NOUN
azojete-205	128	19	that	that	PRON
azojete-205	128	20	are	be	AUX
azojete-205	128	21	initially	initially	ADV
azojete-205	128	22	set	set	VERB
azojete-205	128	23	randomly	randomly	ADV
azojete-205	128	24	then	then	ADV
azojete-205	128	25	adjusted	adjust	VERB
azojete-205	128	26	as	as	ADP
azojete-205	128	27	the	the	DET
azojete-205	128	28	network	network	NOUN
azojete-205	128	29	“	"	PUNCT
azojete-205	128	30	learns	learn	NOUN
azojete-205	128	31	”	"	PUNCT
azojete-205	128	32	.	.	PUNCT
azojete-205	129	1	the	the	DET
azojete-205	129	2	variable	variable	PROPN
azojete-205	129	3	b	b	NOUN
azojete-205	129	4	,	,	PUNCT
azojete-205	129	5	also	also	ADV
azojete-205	129	6	known	know	VERB
azojete-205	129	7	as	as	ADP
azojete-205	129	8	the	the	DET
azojete-205	129	9	“	"	PUNCT
azojete-205	129	10	bias	bias	NOUN
azojete-205	129	11	”	"	PUNCT
azojete-205	129	12	of	of	ADP
azojete-205	129	13	node	node	PROPN
azojete-205	129	14	j	j	PROPN
azojete-205	129	15	,	,	PUNCT
azojete-205	129	16	is	be	AUX
azojete-205	129	17	a	a	DET
azojete-205	129	18	constant	constant	ADJ
azojete-205	129	19	that	that	PRON
azojete-205	129	20	controls	control	VERB
azojete-205	129	21	the	the	DET
azojete-205	129	22	level	level	NOUN
azojete-205	129	23	of	of	ADP
azojete-205	129	24	contribution	contribution	NOUN
azojete-205	129	25	of	of	ADP
azojete-205	129	26	node	node	PROPN
azojete-205	129	27	j.	j.	PROPN
azojete-205	129	28	the	the	DET
azojete-205	129	29	next	next	ADJ
azojete-205	129	30	step	step	NOUN
azojete-205	129	31	is	be	AUX
azojete-205	129	32	to	to	PART
azojete-205	129	33	apply	apply	VERB
azojete-205	129	34	a	a	DET
azojete-205	129	35	function	function	NOUN
azojete-205	129	36	called	call	VERB
azojete-205	129	37	transfer	transfer	NOUN
azojete-205	129	38	function	function	NOUN
azojete-205	129	39	(	(	PUNCT
azojete-205	129	40	that	that	ADV
azojete-205	129	41	is	is	ADV
azojete-205	129	42	,	,	PUNCT
azojete-205	129	43	linear	linear	ADJ
azojete-205	129	44	function	function	NOUN
azojete-205	129	45	,	,	PUNCT
azojete-205	129	46	exponential	exponential	ADJ
azojete-205	129	47	function	function	NOUN
azojete-205	129	48	and	and	CCONJ
azojete-205	129	49	a	a	DET
azojete-205	129	50	logistics	logistic	NOUN
azojete-205	129	51	/	/	SYM
azojete-205	129	52	sigmoidal	sigmoidal	NOUN
azojete-205	129	53	function	function	NOUN
azojete-205	129	54	)	)	PUNCT
azojete-205	129	55	.	.	PUNCT
azojete-205	130	1	in	in	ADP
azojete-205	130	2	this	this	DET
azojete-205	130	3	paper	paper	NOUN
azojete-205	130	4	,	,	PUNCT
azojete-205	130	5	the	the	DET
azojete-205	130	6	sigmoid	sigmoid	NOUN
azojete-205	130	7	function	function	NOUN
azojete-205	130	8	in	in	ADP
azojete-205	130	9	(	(	PUNCT
azojete-205	130	10	1	1	X
azojete-205	130	11	)	)	PUNCT
azojete-205	130	12	is	be	AUX
azojete-205	130	13	used	use	VERB
azojete-205	130	14	for	for	ADP
azojete-205	130	15	its	its	PRON
azojete-205	130	16	practical	practical	ADJ
azojete-205	130	17	value	value	NOUN
azojete-205	130	18	from	from	ADP
azojete-205	130	19	the	the	DET
azojete-205	130	20	fact	fact	NOUN
azojete-205	130	21	that	that	SCONJ
azojete-205	130	22	it	it	PRON
azojete-205	130	23	has	have	AUX
azojete-205	130	24	a	a	DET
azojete-205	130	25	squashing	squash	VERB
azojete-205	130	26	effect	effect	NOUN
azojete-205	130	27	on	on	ADP
azojete-205	130	28	very	very	ADV
azojete-205	130	29	small	small	ADJ
azojete-205	130	30	or	or	CCONJ
azojete-205	130	31	very	very	ADV
azojete-205	130	32	large	large	ADJ
azojete-205	130	33	value	value	NOUN
azojete-205	130	34	.	.	PUNCT
azojete-205	131	1	output	output	NOUN
azojete-205	131	2	layerhidden	layerhidden	PROPN
azojete-205	131	3	layersinput	layersinput	NOUN
azojete-205	131	4	layers	layer	NOUN
azojete-205	131	5	milk	milk	NOUN
azojete-205	131	6	sugar	sugar	PROPN
azojete-205	131	7	w15	w15	PROPN
azojete-205	131	8	w23	w23	VERB
azojete-205	131	9	w24	w24	PROPN
azojete-205	131	10	w25	w25	PROPN
azojete-205	131	11	w14	w14	PROPN
azojete-205	131	12	w13	w13	PROPN
azojete-205	131	13	w36	w36	PROPN
azojete-205	131	14	w46	w46	PROPN
azojete-205	131	15	w56	w56	PROPN
azojete-205	131	16	b3	b3	PROPN
azojete-205	131	17	b4	b4	NOUN
azojete-205	131	18	b5	b5	PROPN
azojete-205	131	19	1	1	NUM
azojete-205	131	20	2	2	NUM
azojete-205	131	21	3	3	NUM
azojete-205	131	22	4	4	NUM
azojete-205	131	23	5	5	NUM
azojete-205	131	24	6	6	NUM
azojete-205	131	25	b6	b6	NOUN
azojete-205	131	26	file:///c:/users	file:///c:/user	NOUN
azojete-205	131	27	/	/	SYM
azojete-205	131	28	user	user	NOUN
azojete-205	131	29	/	/	SYM
azojete-205	131	30	downloads	download	NOUN
azojete-205	131	31	/	/	SYM
azojete-205	131	32	azojete143	azojete143	PROPN
azojete-205	131	33	/	/	SYM
azojete-205	131	34	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	131	35	abah	abah	NOUN
azojete-205	131	36	et	et	PROPN
azojete-205	131	37	al	al	PROPN
azojete-205	131	38	:	:	PUNCT
azojete-205	131	39	computational	computational	ADJ
azojete-205	131	40	model	model	NOUN
azojete-205	131	41	of	of	ADP
azojete-205	131	42	artificial	artificial	ADJ
azojete-205	131	43	neural	neural	ADJ
azojete-205	131	44	networks	network	NOUN
azojete-205	131	45	and	and	CCONJ
azojete-205	131	46	its	its	PRON
azojete-205	131	47	applications	application	NOUN
azojete-205	131	48	in	in	ADP
azojete-205	131	49	data	datum	NOUN
azojete-205	131	50	mining	mining	NOUN
azojete-205	131	51	.	.	PUNCT
azojete-205	132	1	azojete,16(2):243	azojete,16(2):243	PROPN
azojete-205	132	2	-	-	PUNCT
azojete-205	132	3	254	254	NUM
azojete-205	132	4	.	.	PUNCT
azojete-205	133	1	issn	issn	PROPN
azojete-205	133	2	1596	1596	NUM
azojete-205	133	3	-	-	SYM
azojete-205	133	4	2490	2490	NUM
azojete-205	133	5	;	;	PUNCT
azojete-205	133	6	e	e	X
azojete-205	133	7	-	-	NOUN
azojete-205	133	8	issn	issn	VERB
azojete-205	133	9	2545	2545	NUM
azojete-205	133	10	-	-	SYM
azojete-205	133	11	5818	5818	NUM
azojete-205	133	12	,	,	PUNCT
azojete-205	133	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	133	14	corresponding	correspond	VERB
azojete-205	133	15	author	author	NOUN
azojete-205	133	16	’s	’s	PART
azojete-205	133	17	e	e	NOUN
azojete-205	133	18	-	-	NOUN
azojete-205	133	19	mail	mail	NOUN
azojete-205	133	20	address	address	NOUN
azojete-205	133	21	:	:	PUNCT
azojete-205	133	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	NOUN
azojete-205	133	23	250	250	NUM
azojete-205	133	24	node6	node6	NOUN
azojete-205	133	25	=	=	X
azojete-205	134	1	node6	node6	NOUN
azojete-205	135	1	=	=	NOUN
azojete-205	135	2	using	use	VERB
azojete-205	135	3	the	the	DET
azojete-205	135	4	logistic	logistic	ADJ
azojete-205	135	5	function	function	NOUN
azojete-205	135	6	then	then	ADV
azojete-205	135	7	,	,	PUNCT
azojete-205	135	8	the	the	DET
azojete-205	135	9	output	output	NOUN
azojete-205	135	10	of	of	ADP
azojete-205	135	11	node	node	PROPN
azojete-205	135	12	j	j	PROPN
azojete-205	135	13	in	in	ADP
azojete-205	135	14	the	the	DET
azojete-205	135	15	hidden	hide	VERB
azojete-205	135	16	layer	layer	NOUN
azojete-205	135	17	is	be	AUX
azojete-205	135	18	computed	compute	VERB
azojete-205	135	19	from	from	ADP
azojete-205	135	20	the	the	DET
azojete-205	135	21	general	general	ADJ
azojete-205	135	22	formula	formula	NOUN
azojete-205	135	23	:	:	PUNCT
azojete-205	136	1			X
azojete-205	136	2			PROPN
azojete-205	137	1			PROPN
azojete-205	137	2			PROPN
azojete-205	137	3			PUNCT
azojete-205	137	4			NUM
azojete-205	137	5	n	n	NUM
azojete-205	137	6	i	i	PRON
azojete-205	137	7	xwbiijjj	xwbiijjj	PUNCT
azojete-205	138	1	n	n	CCONJ
azojete-205	138	2	i	i	PRON
azojete-205	138	3	iijje	iijje	ADV
azojete-205	138	4	xwbgoutput	xwbgoutput	VERB
azojete-205	138	5	1	1	NUM
azojete-205	138	6	11	11	NUM
azojete-205	138	7	1	1	NUM
azojete-205	138	8	)	)	PUNCT
azojete-205	138	9	(	(	PUNCT
azojete-205	138	10	(	(	PUNCT
azojete-205	138	11	4	4	X
azojete-205	138	12	)	)	PUNCT
azojete-205	138	13	as	as	SCONJ
azojete-205	138	14	follows	follow	VERB
azojete-205	138	15	:	:	PUNCT
azojete-205	139	1	g	g	PROPN
azojete-205	139	2	λj	λj	PROPN
azojete-205	140	1	+	+	CCONJ
azojete-205	140	2	i=1	i=1	PROPN
azojete-205	140	3	p	p	X
azojete-205	140	4	wij	wij	PROPN
azojete-205	140	5	xi	xi	X
azojete-205	140	6	�	�	PROPN
azojete-205	140	7	=	=	NOUN
azojete-205	140	8	1	1	NUM
azojete-205	140	9	1	1	NUM
azojete-205	140	10	+	+	NUM
azojete-205	140	11	e−	e−	PROPN
azojete-205	140	12	λj+	λj+	NOUN
azojete-205	141	1	i=1	i=1	X
azojete-205	142	1	p	p	X
azojete-205	142	2	wij	wij	PROPN
azojete-205	142	3	xi	xi	PROPN
azojete-205	142	4	�	�	PROPN
azojete-205	142	5	(	(	PUNCT
azojete-205	142	6	5	5	NUM
azojete-205	142	7	)	)	PUNCT
azojete-205	142	8	where	where	SCONJ
azojete-205	142	9	:	:	PUNCT
azojete-205	142	10	wij	wij	PROPN
azojete-205	142	11	is	be	AUX
azojete-205	142	12	the	the	DET
azojete-205	142	13	weighted	weighted	ADJ
azojete-205	142	14	vector	vector	NOUN
azojete-205	142	15	between	between	ADP
azojete-205	142	16	i	i	PROPN
azojete-205	142	17	and	and	CCONJ
azojete-205	142	18	j	j	PROPN
azojete-205	142	19	processing	processing	NOUN
azojete-205	142	20	elements	element	NOUN
azojete-205	142	21	;	;	PUNCT
azojete-205	142	22	xi	xi	X
azojete-205	142	23	is	be	AUX
azojete-205	142	24	the	the	DET
azojete-205	142	25	input	input	NOUN
azojete-205	142	26	vector	vector	NOUN
azojete-205	142	27	in	in	ADP
azojete-205	142	28	i	i	NOUN
azojete-205	142	29	processing	processing	NOUN
azojete-205	142	30	element	element	NOUN
azojete-205	142	31	;	;	PUNCT
azojete-205	142	32	p	p	PRON
azojete-205	142	33	is	be	AUX
azojete-205	142	34	the	the	DET
azojete-205	142	35	processing	processing	NOUN
azojete-205	142	36	element	element	NOUN
azojete-205	142	37	bj	bj	NOUN
azojete-205	142	38	and	and	CCONJ
azojete-205	142	39	λj	λj	PROPN
azojete-205	142	40	are	be	AUX
azojete-205	142	41	the	the	DET
azojete-205	142	42	bias	bias	NOUN
azojete-205	142	43	in	in	ADP
azojete-205	142	44	(	(	PUNCT
azojete-205	142	45	4	4	NUM
azojete-205	142	46	)	)	PUNCT
azojete-205	142	47	and	and	CCONJ
azojete-205	142	48	(	(	PUNCT
azojete-205	142	49	5	5	NUM
azojete-205	142	50	)	)	PUNCT
azojete-205	142	51	respectively	respectively	ADV
azojete-205	142	52	.	.	PUNCT
azojete-205	143	1	3.2	3.2	NUM
azojete-205	143	2	initializing	initialize	VERB
azojete-205	143	3	the	the	DET
azojete-205	143	4	weights	weight	NOUN
azojete-205	143	5	at	at	ADP
azojete-205	143	6	this	this	DET
azojete-205	143	7	stage	stage	NOUN
azojete-205	143	8	of	of	ADP
azojete-205	143	9	the	the	DET
azojete-205	143	10	procedure	procedure	NOUN
azojete-205	143	11	,	,	PUNCT
azojete-205	143	12	the	the	DET
azojete-205	143	13	values	value	NOUN
azojete-205	143	14	of	of	ADP
azojete-205	143	15	bj	bj	NOUN
azojete-205	143	16	and	and	CCONJ
azojete-205	143	17	wij	wij	PRON
azojete-205	143	18	are	be	AUX
azojete-205	143	19	typically	typically	ADV
azojete-205	143	20	initialize	initialize	VERB
azojete-205	143	21	to	to	ADP
azojete-205	143	22	small	small	ADJ
azojete-205	143	23	(	(	PUNCT
azojete-205	143	24	but	but	CCONJ
azojete-205	143	25	generally	generally	ADV
azojete-205	143	26	random	random	ADJ
azojete-205	143	27	)	)	PUNCT
azojete-205	143	28	number	number	NOUN
azojete-205	143	29	in	in	ADP
azojete-205	143	30	the	the	DET
azojete-205	143	31	range	range	NOUN
azojete-205	143	32	0.00	0.00	NUM
azojete-205	143	33	±	±	NUM
azojete-205	143	34	0.05	0.05	NUM
azojete-205	143	35	.	.	PUNCT
azojete-205	144	1	with	with	ADP
azojete-205	144	2	this	this	DET
azojete-205	144	3	value	value	NOUN
azojete-205	144	4	range	range	NOUN
azojete-205	144	5	,	,	PUNCT
azojete-205	144	6	we	we	PRON
azojete-205	144	7	can	can	AUX
azojete-205	144	8	then	then	ADV
azojete-205	144	9	compute	compute	VERB
azojete-205	144	10	the	the	DET
azojete-205	144	11	outputs	output	NOUN
azojete-205	144	12	of	of	ADP
azojete-205	144	13	node3	node3	NOUN
azojete-205	144	14	,	,	PUNCT
azojete-205	144	15	node4	node4	NOUN
azojete-205	144	16	and	and	CCONJ
azojete-205	144	17	node5	node5	PROPN
azojete-205	144	18	.	.	PUNCT
azojete-205	145	1	suppose	suppose	VERB
azojete-205	145	2	the	the	DET
azojete-205	145	3	following	following	NOUN
azojete-205	145	4	are	be	AUX
azojete-205	145	5	the	the	DET
azojete-205	145	6	initial	initial	ADJ
azojete-205	145	7	weights	weight	NOUN
azojete-205	145	8	for	for	ADP
azojete-205	145	9	;	;	PUNCT
azojete-205	145	10	node	node	NOUN
azojete-205	145	11	3	3	NUM
azojete-205	145	12	are	be	AUX
azojete-205	145	13	bnw3	bnw3	NOUN
azojete-205	145	14	=	=	NOUN
azojete-205	145	15	b3=-0.3	b3=-0.3	NOUN
azojete-205	145	16	,	,	PUNCT
azojete-205	145	17	w13=0.05	w13=0.05	NOUN
azojete-205	145	18	and	and	CCONJ
azojete-205	145	19	w23=0.01	w23=0.01	PRON
azojete-205	145	20	node	node	NOUN
azojete-205	145	21	4	4	NUM
azojete-205	145	22	are	be	AUX
azojete-205	145	23	bnw4	bnw4	VERB
azojete-205	145	24	=	=	SYM
azojete-205	145	25	b4=	b4=	PROPN
azojete-205	145	26	0.2	0.2	NUM
azojete-205	145	27	,	,	PUNCT
azojete-205	145	28	w14=-0.01	w14=-0.01	VERB
azojete-205	145	29	and	and	CCONJ
azojete-205	145	30	w24=0.03	w24=0.03	PROPN
azojete-205	145	31	node	node	NOUN
azojete-205	145	32	5	5	NUM
azojete-205	145	33	are	be	AUX
azojete-205	145	34	bnw5	bnw5	NOUN
azojete-205	145	35	=	=	NOUN
azojete-205	145	36	b5=0.05	b5=0.05	NOUN
azojete-205	145	37	,	,	PUNCT
azojete-205	145	38	w15=0.02	w15=0.02	NOUN
azojete-205	145	39	and	and	CCONJ
azojete-205	145	40	w25=-0.01	w25=-0.01	DET
azojete-205	145	41	node	node	NOUN
azojete-205	145	42	6	6	NUM
azojete-205	145	43	are	be	AUX
azojete-205	145	44	bnw6	bnw6	NOUN
azojete-205	145	45	=	=	SYM
azojete-205	145	46	b6=-0.015	b6=-0.015	PROPN
azojete-205	145	47	,	,	PUNCT
azojete-205	145	48	w36=0.01	w36=0.01	PROPN
azojete-205	145	49	,	,	PUNCT
azojete-205	145	50	w46=0.05	w46=0.05	PROPN
azojete-205	145	51	and	and	CCONJ
azojete-205	145	52	w56=0.015	w56=0.015	VERB
azojete-205	145	53	where	where	SCONJ
azojete-205	145	54	:	:	PUNCT
azojete-205	145	55	the	the	DET
azojete-205	145	56	input	input	NOUN
azojete-205	145	57	x1	x1	PROPN
azojete-205	145	58	and	and	CCONJ
azojete-205	145	59	x2	x2	PROPN
azojete-205	145	60	are	be	AUX
azojete-205	145	61	0.2	0.2	NUM
azojete-205	145	62	and	and	CCONJ
azojete-205	145	63	0.9	0.9	NUM
azojete-205	145	64	respectively	respectively	ADV
azojete-205	145	65	as	as	SCONJ
azojete-205	145	66	seen	see	VERB
azojete-205	145	67	in	in	ADP
azojete-205	145	68	observation	observation	NOUN
azojete-205	145	69	1	1	NUM
azojete-205	145	70	in	in	ADP
azojete-205	145	71	table	table	NOUN
azojete-205	145	72	1	1	NUM
azojete-205	145	73	.	.	PUNCT
azojete-205	146	1	using	use	VERB
azojete-205	146	2	the	the	DET
azojete-205	146	3	following	follow	VERB
azojete-205	146	4	values	value	NOUN
azojete-205	146	5	in	in	ADP
azojete-205	146	6	(	(	PUNCT
azojete-205	146	7	2	2	NUM
azojete-205	146	8	)	)	PUNCT
azojete-205	146	9	,	,	PUNCT
azojete-205	146	10	the	the	DET
azojete-205	146	11	output	output	NOUN
azojete-205	146	12	of	of	ADP
azojete-205	146	13	node3	node3	PROPN
azojete-205	146	14	,	,	PUNCT
azojete-205	146	15	node4	node4	PROPN
azojete-205	146	16	,	,	PUNCT
azojete-205	146	17	node5	node5	PROPN
azojete-205	146	18	are	be	AUX
azojete-205	146	19	computed	compute	VERB
azojete-205	146	20	as	as	SCONJ
azojete-205	146	21	follows	follow	VERB
azojete-205	146	22	;	;	PUNCT
azojete-205	146	23	the	the	DET
azojete-205	146	24	output	output	NOUN
azojete-205	146	25	from	from	ADP
azojete-205	146	26	node3	node3	PROPN
azojete-205	146	27	,	,	PUNCT
azojete-205	146	28	node4	node4	NOUN
azojete-205	146	29	and	and	CCONJ
azojete-205	146	30	node5	node5	PROPN
azojete-205	146	31	are	be	AUX
azojete-205	146	32	fed	feed	VERB
azojete-205	146	33	into	into	ADP
azojete-205	146	34	the	the	DET
azojete-205	146	35	output	output	NOUN
azojete-205	146	36	layer	layer	NOUN
azojete-205	146	37	(	(	PUNCT
azojete-205	146	38	node6	node6	NOUN
azojete-205	146	39	)	)	PUNCT
azojete-205	146	40	to	to	PART
azojete-205	146	41	compute	compute	VERB
azojete-205	146	42	the	the	DET
azojete-205	146	43	final	final	ADJ
azojete-205	146	44	output	output	NOUN
azojete-205	146	45	for	for	ADP
azojete-205	146	46	the	the	DET
azojete-205	146	47	first	first	ADJ
azojete-205	146	48	observation	observation	NOUN
azojete-205	146	49	in	in	ADP
azojete-205	146	50	our	our	PRON
azojete-205	146	51	sample	sample	NOUN
azojete-205	146	52	data	datum	NOUN
azojete-205	146	53	.	.	PUNCT
azojete-205	147	1	3.3	3.3	NUM
azojete-205	147	2	training	train	VERB
azojete-205	147	3	the	the	DET
azojete-205	147	4	model	model	NOUN
azojete-205	147	5	after	after	ADP
azojete-205	147	6	initializing	initialize	VERB
azojete-205	147	7	the	the	DET
azojete-205	147	8	weights	weight	NOUN
azojete-205	147	9	,	,	PUNCT
azojete-205	147	10	the	the	DET
azojete-205	147	11	next	next	ADJ
azojete-205	147	12	step	step	NOUN
azojete-205	147	13	is	be	AUX
azojete-205	147	14	to	to	PART
azojete-205	147	15	train	train	VERB
azojete-205	147	16	the	the	DET
azojete-205	147	17	model	model	NOUN
azojete-205	147	18	.	.	PUNCT
azojete-205	148	1	training	train	VERB
azojete-205	148	2	the	the	DET
azojete-205	148	3	model	model	NOUN
azojete-205	148	4	means	mean	VERB
azojete-205	148	5	estimating	estimate	VERB
azojete-205	148	6	the	the	DET
azojete-205	148	7	weights	weight	NOUN
azojete-205	148	8	bj	bj	NOUN
azojete-205	148	9	(	(	PUNCT
azojete-205	148	10	bias	bias	NOUN
azojete-205	148	11	node	node	NOUN
azojete-205	148	12	)	)	PUNCT
azojete-205	148	13	and	and	CCONJ
azojete-205	148	14	wij	wij	PROPN
azojete-205	148	15	(	(	PUNCT
azojete-205	148	16	link	link	NOUN
azojete-205	148	17	between	between	ADP
azojete-205	148	18	nodes	node	NOUN
azojete-205	148	19	)	)	PUNCT
azojete-205	148	20	that	that	PRON
azojete-205	148	21	lead	lead	VERB
azojete-205	148	22	to	to	ADP
azojete-205	148	23	the	the	DET
azojete-205	148	24	best	good	ADJ
azojete-205	148	25	predictive	predictive	ADJ
azojete-205	148	26	results	result	NOUN
azojete-205	148	27	.	.	PUNCT
azojete-205	149	1	the	the	DET
azojete-205	149	2	process	process	NOUN
azojete-205	149	3	illustrated	illustrate	VERB
azojete-205	149	4	above	above	ADV
azojete-205	149	5	for	for	ADP
azojete-205	149	6	computing	compute	VERB
azojete-205	149	7	the	the	DET
azojete-205	149	8	neural	neural	ADJ
azojete-205	149	9	network	network	NOUN
azojete-205	149	10	output	output	NOUN
azojete-205	149	11	for	for	ADP
azojete-205	149	12	an	an	DET
azojete-205	149	13	node3	node3	NOUN
azojete-205	149	14	=	=	SYM
azojete-205	149	15	=	=	SYM
azojete-205	149	16	0.4302	0.4302	NUM
azojete-205	149	17	node4	node4	NOUN
azojete-205	149	18	=	=	PUNCT
azojete-205	150	1	=	=	PUNCT
azojete-205	150	2	0.5560	0.5560	NUM
azojete-205	150	3	=	=	PUNCT
azojete-205	151	1	0.5112	0.5112	NUM
azojete-205	151	2	node5	node5	NOUN
azojete-205	152	1	=	=	PUNCT
azojete-205	152	2	=	=	SYM
azojete-205	152	3	0.5062	0.5062	NUM
azojete-205	152	4	http://www.azojete.com.ng	http://www.azojete.com.ng	ADV
azojete-205	152	5	arid	arid	NOUN
azojete-205	152	6	zone	zone	PROPN
azojete-205	152	7	journal	journal	NOUN
azojete-205	152	8	of	of	ADP
azojete-205	152	9	engineering	engineering	NOUN
azojete-205	152	10	,	,	PUNCT
azojete-205	152	11	technology	technology	NOUN
azojete-205	152	12	and	and	CCONJ
azojete-205	152	13	environment	environment	NOUN
azojete-205	152	14	,	,	PUNCT
azojete-205	152	15	june	june	PROPN
azojete-205	152	16	,	,	PUNCT
azojete-205	152	17	2020	2020	NUM
azojete-205	152	18	;	;	PUNCT
azojete-205	152	19	vol	vol	NOUN
azojete-205	152	20	.	.	NOUN
azojete-205	153	1	16(2	16(2	NUM
azojete-205	153	2	)	)	PUNCT
azojete-205	153	3	243	243	NUM
azojete-205	153	4	-	-	SYM
azojete-205	153	5	254	254	NUM
azojete-205	153	6	.	.	PUNCT
azojete-205	154	1	issn	issn	PROPN
azojete-205	154	2	1596	1596	NUM
azojete-205	154	3	-	-	SYM
azojete-205	154	4	2490	2490	NUM
azojete-205	154	5	;	;	PUNCT
azojete-205	154	6	e	e	X
azojete-205	154	7	-	-	NOUN
azojete-205	154	8	issn	issn	VERB
azojete-205	154	9	2545	2545	NUM
azojete-205	154	10	-	-	SYM
azojete-205	154	11	5818	5818	NUM
azojete-205	154	12	;	;	PUNCT
azojete-205	154	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	154	14	corresponding	correspond	VERB
azojete-205	154	15	author	author	NOUN
azojete-205	154	16	’s	’s	PART
azojete-205	154	17	e	e	NOUN
azojete-205	154	18	-	-	NOUN
azojete-205	154	19	mail	mail	NOUN
azojete-205	154	20	address	address	NOUN
azojete-205	154	21	:	:	PUNCT
azojete-205	154	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	VERB
azojete-205	154	23	251	251	NUM
azojete-205	154	24	observation	observation	NOUN
azojete-205	154	25	is	be	AUX
azojete-205	154	26	repeated	repeat	VERB
azojete-205	154	27	for	for	ADP
azojete-205	154	28	all	all	DET
azojete-205	154	29	the	the	DET
azojete-205	154	30	observations	observation	NOUN
azojete-205	154	31	in	in	ADP
azojete-205	154	32	the	the	DET
azojete-205	154	33	training	training	NOUN
azojete-205	154	34	set	set	NOUN
azojete-205	154	35	.	.	PUNCT
azojete-205	155	1	for	for	ADP
azojete-205	155	2	each	each	DET
azojete-205	155	3	observation	observation	NOUN
azojete-205	155	4	,	,	PUNCT
azojete-205	155	5	the	the	DET
azojete-205	155	6	model	model	NOUN
azojete-205	155	7	produces	produce	VERB
azojete-205	155	8	a	a	DET
azojete-205	155	9	prediction	prediction	NOUN
azojete-205	155	10	which	which	PRON
azojete-205	155	11	is	be	AUX
azojete-205	155	12	then	then	ADV
azojete-205	155	13	compared	compare	VERB
azojete-205	155	14	with	with	ADP
azojete-205	155	15	the	the	DET
azojete-205	155	16	actual	actual	ADJ
azojete-205	155	17	response	response	NOUN
azojete-205	155	18	value	value	NOUN
azojete-205	155	19	.	.	PUNCT
azojete-205	156	1	their	their	PRON
azojete-205	156	2	difference	difference	NOUN
azojete-205	156	3	is	be	AUX
azojete-205	156	4	the	the	DET
azojete-205	156	5	error	error	NOUN
azojete-205	156	6	for	for	ADP
azojete-205	156	7	the	the	DET
azojete-205	156	8	output	output	NOUN
azojete-205	156	9	node	node	NOUN
azojete-205	156	10	.	.	PUNCT
azojete-205	157	1	this	this	DET
azojete-205	157	2	error	error	NOUN
azojete-205	157	3	obtained	obtain	VERB
azojete-205	157	4	from	from	ADP
azojete-205	157	5	the	the	DET
azojete-205	157	6	output	output	NOUN
azojete-205	157	7	node	node	NOUN
azojete-205	157	8	is	be	AUX
azojete-205	157	9	use	use	VERB
azojete-205	157	10	iteratively	iteratively	ADV
azojete-205	157	11	to	to	PART
azojete-205	157	12	update	update	VERB
azojete-205	157	13	the	the	DET
azojete-205	157	14	estimated	estimate	VERB
azojete-205	157	15	weights	weight	NOUN
azojete-205	157	16	.	.	PUNCT
azojete-205	158	1	in	in	ADP
azojete-205	158	2	particular	particular	ADJ
azojete-205	158	3	,	,	PUNCT
azojete-205	158	4	the	the	DET
azojete-205	158	5	error	error	NOUN
azojete-205	158	6	for	for	ADP
azojete-205	158	7	the	the	DET
azojete-205	158	8	output	output	NOUN
azojete-205	158	9	node	node	NOUN
azojete-205	158	10	is	be	AUX
azojete-205	158	11	distributed	distribute	VERB
azojete-205	158	12	across	across	ADP
azojete-205	158	13	all	all	DET
azojete-205	158	14	the	the	DET
azojete-205	158	15	hidden	hide	VERB
azojete-205	158	16	nodes	node	NOUN
azojete-205	158	17	that	that	PRON
azojete-205	158	18	led	lead	VERB
azojete-205	158	19	to	to	ADP
azojete-205	158	20	it	it	PRON
azojete-205	158	21	,	,	PUNCT
azojete-205	158	22	so	so	SCONJ
azojete-205	158	23	that	that	SCONJ
azojete-205	158	24	each	each	DET
azojete-205	158	25	node	node	NOUN
azojete-205	158	26	is	be	AUX
azojete-205	158	27	assigned	assign	VERB
azojete-205	158	28	“	"	PUNCT
azojete-205	158	29	responsibility	responsibility	NOUN
azojete-205	158	30	"	"	PUNCT
azojete-205	158	31	for	for	ADP
azojete-205	158	32	part	part	NOUN
azojete-205	158	33	of	of	ADP
azojete-205	158	34	the	the	DET
azojete-205	158	35	error	error	NOUN
azojete-205	158	36	.	.	PUNCT
azojete-205	159	1	each	each	PRON
azojete-205	159	2	of	of	ADP
azojete-205	159	3	these	these	DET
azojete-205	159	4	node	node	NOUN
azojete-205	159	5	-	-	PUNCT
azojete-205	159	6	specific	specific	ADJ
azojete-205	159	7	errors	error	NOUN
azojete-205	159	8	is	be	AUX
azojete-205	159	9	then	then	ADV
azojete-205	159	10	used	use	VERB
azojete-205	159	11	for	for	ADP
azojete-205	159	12	updating	update	VERB
azojete-205	159	13	the	the	DET
azojete-205	159	14	weights	weight	NOUN
azojete-205	159	15	.	.	PUNCT
azojete-205	160	1	3.4	3.4	NUM
azojete-205	160	2	back	back	ADJ
azojete-205	160	3	propagation	propagation	NOUN
azojete-205	160	4	of	of	ADP
azojete-205	160	5	error	error	NOUN
azojete-205	160	6	back	back	NOUN
azojete-205	160	7	propagation	propagation	NOUN
azojete-205	160	8	is	be	AUX
azojete-205	160	9	a	a	DET
azojete-205	160	10	process	process	NOUN
azojete-205	160	11	for	for	ADP
azojete-205	160	12	using	use	VERB
azojete-205	160	13	model	model	NOUN
azojete-205	160	14	errors	error	NOUN
azojete-205	160	15	to	to	PART
azojete-205	160	16	update	update	VERB
azojete-205	160	17	weights	weight	NOUN
azojete-205	160	18	(	(	PUNCT
azojete-205	160	19	“	"	PUNCT
azojete-205	160	20	learning	learn	VERB
azojete-205	160	21	”	"	PUNCT
azojete-205	160	22	)	)	PUNCT
azojete-205	160	23	.	.	PUNCT
azojete-205	161	1	as	as	SCONJ
azojete-205	161	2	the	the	DET
azojete-205	161	3	name	name	NOUN
azojete-205	161	4	implies	imply	VERB
azojete-205	161	5	,	,	PUNCT
azojete-205	161	6	errors	error	NOUN
azojete-205	161	7	are	be	AUX
azojete-205	161	8	computed	compute	VERB
azojete-205	161	9	from	from	ADP
azojete-205	161	10	the	the	DET
azojete-205	161	11	output	output	NOUN
azojete-205	161	12	layer	layer	NOUN
azojete-205	161	13	back	back	ADV
azojete-205	161	14	to	to	ADP
azojete-205	161	15	the	the	DET
azojete-205	161	16	hidden	hidden	ADJ
azojete-205	161	17	layers	layer	NOUN
azojete-205	161	18	.	.	PUNCT
azojete-205	162	1	the	the	DET
azojete-205	162	2	error	error	NOUN
azojete-205	162	3	associated	associate	VERB
azojete-205	162	4	with	with	ADP
azojete-205	162	5	output	output	NOUN
azojete-205	162	6	node	node	NOUN
azojete-205	162	7	is	be	AUX
azojete-205	162	8	computed	compute	VERB
azojete-205	162	9	by	by	ADP
azojete-205	162	10	the	the	DET
azojete-205	162	11	general	general	ADJ
azojete-205	162	12	formula	formula	NOUN
azojete-205	162	13	;	;	PUNCT
azojete-205	162	14	errj	errj	NOUN
azojete-205	162	15	=	=	SYM
azojete-205	162	16	nj	nj	PROPN
azojete-205	162	17	(	(	PUNCT
azojete-205	162	18	1	1	NUM
azojete-205	162	19	-	-	PUNCT
azojete-205	162	20	nj	nj	NUM
azojete-205	162	21	)	)	PUNCT
azojete-205	162	22	(	(	PUNCT
azojete-205	162	23	dj	dj	NOUN
azojete-205	162	24	-	-	PUNCT
azojete-205	162	25	nj	nj	NOUN
azojete-205	162	26	)	)	PUNCT
azojete-205	162	27	(	(	PUNCT
azojete-205	162	28	6	6	X
azojete-205	162	29	)	)	PUNCT
azojete-205	162	30	the	the	DET
azojete-205	162	31	above	above	ADJ
azojete-205	162	32	equation	equation	NOUN
azojete-205	162	33	is	be	AUX
azojete-205	162	34	similar	similar	ADJ
azojete-205	162	35	to	to	ADP
azojete-205	162	36	the	the	DET
azojete-205	162	37	ordinary	ordinary	ADJ
azojete-205	162	38	definition	definition	NOUN
azojete-205	162	39	of	of	ADP
azojete-205	162	40	an	an	DET
azojete-205	162	41	error	error	NOUN
azojete-205	162	42	(	(	PUNCT
azojete-205	162	43	dj	dj	X
azojete-205	162	44	–	–	PUNCT
azojete-205	162	45	nj	nj	PROPN
azojete-205	162	46	)	)	PUNCT
azojete-205	162	47	multiply	multiply	ADV
azojete-205	162	48	by	by	ADP
azojete-205	162	49	a	a	DET
azojete-205	162	50	correction	correction	NOUN
azojete-205	162	51	factor	factor	NOUN
azojete-205	162	52	.	.	PUNCT
azojete-205	163	1	the	the	DET
azojete-205	163	2	weights	weight	NOUN
azojete-205	163	3	are	be	AUX
azojete-205	163	4	then	then	ADV
azojete-205	163	5	updated	update	VERB
azojete-205	163	6	as	as	SCONJ
azojete-205	163	7	follows	follow	VERB
azojete-205	163	8	:	:	PUNCT
azojete-205	163	9	ibjnew	ibjnew	ADJ
azojete-205	163	10	=	=	NOUN
azojete-205	163	11	bjold	bjold	NOUN
azojete-205	163	12	+	+	CCONJ
azojete-205	163	13	lerrj	lerrj	PROPN
azojete-205	163	14	(	(	PUNCT
azojete-205	163	15	7	7	NUM
azojete-205	163	16	)	)	PUNCT
azojete-205	163	17	wijnew	wijnew	ADJ
azojete-205	163	18	=	=	PUNCT
azojete-205	163	19	wijold	wijold	VERB
azojete-205	163	20	+	+	CCONJ
azojete-205	163	21	lerrj	lerrj	PROPN
azojete-205	163	22	(	(	PUNCT
azojete-205	163	23	8)	8)	NUM
azojete-205	163	24	where	where	SCONJ
azojete-205	163	25	:	:	PUNCT
azojete-205	163	26	l	l	NOUN
azojete-205	163	27	is	be	AUX
azojete-205	163	28	a	a	DET
azojete-205	163	29	learning	learning	NOUN
azojete-205	163	30	rate	rate	NOUN
azojete-205	163	31	or	or	CCONJ
azojete-205	163	32	weight	weight	NOUN
azojete-205	163	33	decay	decay	NOUN
azojete-205	163	34	parameter	parameter	NOUN
azojete-205	163	35	,	,	PUNCT
azojete-205	163	36	a	a	DET
azojete-205	163	37	constant	constant	ADJ
azojete-205	163	38	ranging	ranging	NOUN
azojete-205	163	39	typically	typically	ADV
azojete-205	163	40	between	between	ADP
azojete-205	163	41	0	0	NUM
azojete-205	163	42	and	and	CCONJ
azojete-205	163	43	1	1	NUM
azojete-205	163	44	,	,	PUNCT
azojete-205	163	45	which	which	PRON
azojete-205	163	46	controls	control	VERB
azojete-205	163	47	the	the	DET
azojete-205	163	48	amount	amount	NOUN
azojete-205	163	49	of	of	ADP
azojete-205	163	50	change	change	NOUN
azojete-205	163	51	in	in	ADP
azojete-205	163	52	weights	weight	NOUN
azojete-205	163	53	from	from	ADP
azojete-205	163	54	one	one	NUM
azojete-205	163	55	iteration	iteration	NOUN
azojete-205	163	56	to	to	ADP
azojete-205	163	57	the	the	DET
azojete-205	163	58	other	other	ADJ
azojete-205	163	59	.	.	PUNCT
azojete-205	164	1	after	after	ADP
azojete-205	164	2	the	the	DET
azojete-205	164	3	first	first	ADJ
azojete-205	164	4	iteration	iteration	NOUN
azojete-205	164	5	,	,	PUNCT
azojete-205	164	6	the	the	DET
azojete-205	164	7	error	error	NOUN
azojete-205	164	8	associated	associate	VERB
azojete-205	164	9	with	with	ADP
azojete-205	164	10	the	the	DET
azojete-205	164	11	output	output	NOUN
azojete-205	164	12	node	node	NOUN
azojete-205	164	13	is	be	AUX
azojete-205	164	14	;	;	PUNCT
azojete-205	164	15	err	err	NOUN
azojete-205	164	16	=	=	SYM
azojete-205	164	17	0.5062(1	0.5062(1	NOUN
azojete-205	164	18	-	-	PUNCT
azojete-205	164	19	0.5062	0.5062	NUM
azojete-205	164	20	)	)	PUNCT
azojete-205	164	21	(	(	PUNCT
azojete-205	164	22	0.65	0.65	NUM
azojete-205	164	23	-	-	PUNCT
azojete-205	164	24	0.5062	0.5062	NUM
azojete-205	164	25	)	)	PUNCT
azojete-205	164	26	=	=	SYM
azojete-205	164	27	0.03594	0.03594	NUM
azojete-205	164	28	.	.	PUNCT
azojete-205	165	1	hence	hence	ADV
azojete-205	165	2	the	the	DET
azojete-205	165	3	weight	weight	NOUN
azojete-205	165	4	update	update	NOUN
azojete-205	165	5	for	for	ADP
azojete-205	165	6	second	second	ADJ
azojete-205	165	7	iteration	iteration	NOUN
azojete-205	165	8	is	be	AUX
azojete-205	165	9	computed	compute	VERB
azojete-205	165	10	as	as	SCONJ
azojete-205	165	11	follows	follow	VERB
azojete-205	165	12	using	use	VERB
azojete-205	165	13	l	l	NOUN
azojete-205	165	14	=	=	SYM
azojete-205	165	15	0.5	0.5	NUM
azojete-205	165	16	b3	b3	NOUN
azojete-205	165	17	:	:	PUNCT
azojete-205	165	18	-0.3	-0.3	NOUN
azojete-205	165	19	+	+	NUM
azojete-205	165	20	0.5	0.5	NUM
azojete-205	165	21	(	(	PUNCT
azojete-205	165	22	0.03594	0.03594	NUM
azojete-205	165	23	)	)	PUNCT
azojete-205	165	24	=	=	SYM
azojete-205	165	25	-0.282	-0.282	PUNCT
azojete-205	165	26	b4	b4	NOUN
azojete-205	165	27	:	:	PUNCT
azojete-205	165	28	0.2	0.2	NUM
azojete-205	165	29	+	+	NUM
azojete-205	165	30	0.5	0.5	NUM
azojete-205	165	31	(	(	PUNCT
azojete-205	165	32	0.03594	0.03594	NUM
azojete-205	165	33	)	)	PUNCT
azojete-205	165	34	=	=	SYM
azojete-205	165	35	0.218	0.218	NUM
azojete-205	165	36	b5	b5	NOUN
azojete-205	165	37	:	:	PUNCT
azojete-205	165	38	0.05	0.05	NUM
azojete-205	165	39	+	+	SYM
azojete-205	165	40	0.5	0.5	NUM
azojete-205	165	41	(	(	PUNCT
azojete-205	165	42	0.03594	0.03594	NUM
azojete-205	165	43	)	)	PUNCT
azojete-205	165	44	=	=	SYM
azojete-205	165	45	0.068	0.068	NUM
azojete-205	165	46	b6	b6	NOUN
azojete-205	165	47	:	:	PUNCT
azojete-205	165	48	-0.015	-0.015	VERB
azojete-205	165	49	+	+	X
azojete-205	165	50	0.5	0.5	NUM
azojete-205	165	51	(	(	PUNCT
azojete-205	165	52	0.03594	0.03594	NUM
azojete-205	165	53	)	)	PUNCT
azojete-205	165	54	=	=	NOUN
azojete-205	165	55	0.003	0.003	NUM
azojete-205	165	56	w13	w13	NOUN
azojete-205	165	57	:	:	PUNCT
azojete-205	165	58	0.08	0.08	NUM
azojete-205	165	59	+	+	NUM
azojete-205	165	60	0.5	0.5	NUM
azojete-205	165	61	(	(	PUNCT
azojete-205	165	62	0.03594	0.03594	NUM
azojete-205	165	63	)	)	PUNCT
azojete-205	165	64	=	=	SYM
azojete-205	165	65	0.068	0.068	NUM
azojete-205	165	66	w23	w23	VERB
azojete-205	165	67	:	:	PUNCT
azojete-205	165	68	0.01	0.01	NUM
azojete-205	165	69	+	+	NUM
azojete-205	165	70	0.5	0.5	NUM
azojete-205	165	71	(	(	PUNCT
azojete-205	165	72	0.03594	0.03594	NUM
azojete-205	165	73	)	)	PUNCT
azojete-205	165	74	=	=	SYM
azojete-205	165	75	0.028	0.028	NUM
azojete-205	165	76	w14	w14	PROPN
azojete-205	165	77	:	:	PUNCT
azojete-205	165	78	-0.01	-0.01	NUM
azojete-205	165	79	+	+	NUM
azojete-205	165	80	0.5	0.5	NUM
azojete-205	165	81	(	(	PUNCT
azojete-205	165	82	0.03594	0.03594	NUM
azojete-205	165	83	)	)	PUNCT
azojete-205	165	84	=	=	PROPN
azojete-205	165	85	0.008	0.008	NUM
azojete-205	165	86	w24	w24	NUM
azojete-205	165	87	:	:	PUNCT
azojete-205	165	88	0.03	0.03	NUM
azojete-205	165	89	+	+	NUM
azojete-205	165	90	0.5	0.5	NUM
azojete-205	165	91	(	(	PUNCT
azojete-205	165	92	0.03594	0.03594	NUM
azojete-205	165	93	)	)	PUNCT
azojete-205	165	94	=	=	SYM
azojete-205	165	95	0.048	0.048	NUM
azojete-205	165	96	w15	w15	PROPN
azojete-205	165	97	:	:	PUNCT
azojete-205	165	98	0.02	0.02	NUM
azojete-205	165	99	+	+	NUM
azojete-205	165	100	0.5	0.5	NUM
azojete-205	165	101	(	(	PUNCT
azojete-205	165	102	0.03594	0.03594	NUM
azojete-205	165	103	)	)	PUNCT
azojete-205	165	104	=	=	NOUN
azojete-205	165	105	0.038	0.038	NUM
azojete-205	165	106	w25	w25	NOUN
azojete-205	165	107	:	:	PUNCT
azojete-205	166	1	-0.01	-0.01	NUM
azojete-205	166	2	+	+	NUM
azojete-205	166	3	0.5	0.5	NUM
azojete-205	166	4	(	(	PUNCT
azojete-205	166	5	0.03594	0.03594	NUM
azojete-205	166	6	)	)	PUNCT
azojete-205	167	1	=	=	NOUN
azojete-205	167	2	0.008	0.008	NUM
azojete-205	167	3	w36	w36	NOUN
azojete-205	167	4	:	:	PUNCT
azojete-205	167	5	0.01	0.01	NUM
azojete-205	167	6	+	+	NUM
azojete-205	167	7	0.5	0.5	NUM
azojete-205	167	8	(	(	PUNCT
azojete-205	167	9	0.03594	0.03594	NUM
azojete-205	167	10	)	)	PUNCT
azojete-205	167	11	=	=	SYM
azojete-205	167	12	0.028	0.028	NUM
azojete-205	167	13	w46	w46	NOUN
azojete-205	167	14	:	:	PUNCT
azojete-205	167	15	0.05	0.05	NUM
azojete-205	167	16	+	+	NUM
azojete-205	167	17	0.5	0.5	NUM
azojete-205	167	18	(	(	PUNCT
azojete-205	167	19	0.03594	0.03594	NUM
azojete-205	167	20	)	)	PUNCT
azojete-205	167	21	=	=	SYM
azojete-205	167	22	0.068	0.068	NUM
azojete-205	167	23	w56	w56	NOUN
azojete-205	167	24	:	:	PUNCT
azojete-205	167	25	0.015	0.015	NUM
azojete-205	167	26	+	+	NUM
azojete-205	167	27	0.5	0.5	NUM
azojete-205	167	28	(	(	PUNCT
azojete-205	167	29	0.03594	0.03594	NUM
azojete-205	167	30	)	)	PUNCT
azojete-205	167	31	=	=	PUNCT
azojete-205	168	1	0.033	0.033	NUM
azojete-205	168	2	the	the	DET
azojete-205	168	3	adjusted	adjust	VERB
azojete-205	168	4	weights	weight	NOUN
azojete-205	168	5	are	be	AUX
azojete-205	168	6	used	use	VERB
azojete-205	168	7	on	on	ADP
azojete-205	168	8	the	the	DET
azojete-205	168	9	second	second	ADJ
azojete-205	168	10	observation	observation	NOUN
azojete-205	168	11	(	(	PUNCT
azojete-205	168	12	i.e.	i.e.	X
azojete-205	168	13	x1=0.1	x1=0.1	PROPN
azojete-205	168	14	and	and	CCONJ
azojete-205	168	15	x2=0.1	x2=0.1	PROPN
azojete-205	168	16	)	)	PUNCT
azojete-205	168	17	to	to	PART
azojete-205	168	18	computer	computer	VERB
azojete-205	168	19	the	the	DET
azojete-205	168	20	second	second	ADJ
azojete-205	168	21	output	output	NOUN
azojete-205	168	22	of	of	ADP
azojete-205	168	23	the	the	DET
azojete-205	168	24	model	model	NOUN
azojete-205	168	25	.	.	PUNCT
azojete-205	169	1	this	this	DET
azojete-205	169	2	process	process	NOUN
azojete-205	169	3	is	be	AUX
azojete-205	169	4	repeated	repeat	VERB
azojete-205	169	5	for	for	ADP
azojete-205	169	6	the	the	DET
azojete-205	169	7	entire	entire	ADJ
azojete-205	169	8	training	training	NOUN
azojete-205	169	9	data	datum	NOUN
azojete-205	169	10	(	(	PUNCT
azojete-205	169	11	in	in	ADP
azojete-205	169	12	this	this	DET
azojete-205	169	13	case	case	NOUN
azojete-205	169	14	6	6	NUM
azojete-205	169	15	)	)	PUNCT
azojete-205	169	16	.	.	PUNCT
azojete-205	170	1	hence	hence	ADV
azojete-205	170	2	one	one	NUM
azojete-205	170	3	sweep	sweep	VERB
azojete-205	170	4	through	through	ADP
azojete-205	170	5	the	the	DET
azojete-205	170	6	data	datum	NOUN
azojete-205	170	7	,	,	PUNCT
azojete-205	170	8	is	be	AUX
azojete-205	170	9	called	call	VERB
azojete-205	170	10	an	an	DET
azojete-205	170	11	epoch	epoch	NOUN
azojete-205	170	12	,	,	PUNCT
azojete-205	170	13	consisting	consist	VERB
azojete-205	170	14	of	of	ADP
azojete-205	170	15	six	six	NUM
azojete-205	170	16	(	(	PUNCT
azojete-205	170	17	6	6	NUM
azojete-205	170	18	)	)	PUNCT
azojete-205	170	19	iterations	iteration	NOUN
azojete-205	170	20	.	.	PUNCT
azojete-205	171	1	for	for	ADP
azojete-205	171	2	the	the	DET
azojete-205	171	3	purpose	purpose	NOUN
azojete-205	171	4	of	of	ADP
azojete-205	171	5	this	this	DET
azojete-205	171	6	simulation	simulation	NOUN
azojete-205	171	7	,	,	PUNCT
azojete-205	171	8	the	the	DET
azojete-205	171	9	network	network	NOUN
azojete-205	171	10	is	be	AUX
azojete-205	171	11	trained	train	VERB
azojete-205	171	12	using	use	VERB
azojete-205	171	13	5	5	NUM
azojete-205	171	14	epochs	epoch	NOUN
azojete-205	171	15	so	so	ADV
azojete-205	171	16	,	,	PUNCT
azojete-205	171	17	there	there	PRON
azojete-205	171	18	will	will	AUX
azojete-205	171	19	be	be	AUX
azojete-205	171	20	a	a	DET
azojete-205	171	21	total	total	NOUN
azojete-205	171	22	of	of	ADP
azojete-205	171	23	30	30	NUM
azojete-205	171	24	iterations	iteration	NOUN
azojete-205	171	25	.	.	PUNCT
azojete-205	172	1	4	4	X
azojete-205	172	2	.	.	NOUN
azojete-205	172	3	results	result	NOUN
azojete-205	172	4	and	and	CCONJ
azojete-205	172	5	discussion	discussion	NOUN
azojete-205	172	6	file:///c:/users	file:///c:/user	NOUN
azojete-205	172	7	/	/	SYM
azojete-205	172	8	user	user	NOUN
azojete-205	172	9	/	/	SYM
azojete-205	172	10	downloads	download	NOUN
azojete-205	172	11	/	/	SYM
azojete-205	172	12	azojete143	azojete143	PROPN
azojete-205	172	13	/	/	SYM
azojete-205	172	14	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	172	15	abah	abah	NOUN
azojete-205	172	16	et	et	PROPN
azojete-205	172	17	al	al	PROPN
azojete-205	172	18	:	:	PUNCT
azojete-205	172	19	computational	computational	ADJ
azojete-205	172	20	model	model	NOUN
azojete-205	172	21	of	of	ADP
azojete-205	172	22	artificial	artificial	ADJ
azojete-205	172	23	neural	neural	ADJ
azojete-205	172	24	networks	network	NOUN
azojete-205	172	25	and	and	CCONJ
azojete-205	172	26	its	its	PRON
azojete-205	172	27	applications	application	NOUN
azojete-205	172	28	in	in	ADP
azojete-205	172	29	data	datum	NOUN
azojete-205	172	30	mining	mining	NOUN
azojete-205	172	31	.	.	PUNCT
azojete-205	173	1	azojete,16(2):243	azojete,16(2):243	PROPN
azojete-205	173	2	-	-	PUNCT
azojete-205	173	3	254	254	NUM
azojete-205	173	4	.	.	PUNCT
azojete-205	174	1	issn	issn	PROPN
azojete-205	174	2	1596	1596	NUM
azojete-205	174	3	-	-	SYM
azojete-205	174	4	2490	2490	NUM
azojete-205	174	5	;	;	PUNCT
azojete-205	174	6	e	e	X
azojete-205	174	7	-	-	NOUN
azojete-205	174	8	issn	issn	VERB
azojete-205	174	9	2545	2545	NUM
azojete-205	174	10	-	-	SYM
azojete-205	174	11	5818	5818	NUM
azojete-205	174	12	,	,	PUNCT
azojete-205	174	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	174	14	corresponding	correspond	VERB
azojete-205	174	15	author	author	NOUN
azojete-205	174	16	’s	’s	PART
azojete-205	174	17	e	e	NOUN
azojete-205	174	18	-	-	NOUN
azojete-205	174	19	mail	mail	NOUN
azojete-205	174	20	address	address	NOUN
azojete-205	174	21	:	:	PUNCT
azojete-205	174	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	VERB
azojete-205	174	23	252	252	NUM
azojete-205	174	24	table	table	NOUN
azojete-205	174	25	2	2	NUM
azojete-205	174	26	reveal	reveal	VERB
azojete-205	174	27	the	the	DET
azojete-205	174	28	computation	computation	NOUN
azojete-205	174	29	result	result	NOUN
azojete-205	174	30	of	of	ADP
azojete-205	174	31	the	the	DET
azojete-205	174	32	adjusted	adjust	VERB
azojete-205	174	33	weights	weight	NOUN
azojete-205	174	34	,	,	PUNCT
azojete-205	174	35	hidden	hide	VERB
azojete-205	174	36	layers	layer	NOUN
azojete-205	174	37	output	output	NOUN
azojete-205	174	38	and	and	CCONJ
azojete-205	174	39	the	the	DET
azojete-205	174	40	final	final	ADJ
azojete-205	174	41	output	output	NOUN
azojete-205	174	42	for	for	ADP
azojete-205	174	43	each	each	DET
azojete-205	174	44	epoch	epoch	NOUN
azojete-205	174	45	and	and	CCONJ
azojete-205	174	46	the	the	DET
azojete-205	174	47	total	total	ADJ
azojete-205	174	48	sum	sum	NOUN
azojete-205	174	49	of	of	ADP
azojete-205	174	50	error	error	NOUN
azojete-205	174	51	associated	associate	VERB
azojete-205	174	52	with	with	ADP
azojete-205	174	53	each	each	DET
azojete-205	174	54	epoch	epoch	NOUN
azojete-205	174	55	.	.	PUNCT
azojete-205	175	1	table	table	NOUN
azojete-205	175	2	2	2	NUM
azojete-205	175	3	:	:	PUNCT
azojete-205	175	4	output	output	NOUN
azojete-205	175	5	errors	error	NOUN
azojete-205	175	6	generated	generate	VERB
azojete-205	175	7	for	for	ADP
azojete-205	175	8	each	each	PRON
azojete-205	175	9	of	of	ADP
azojete-205	175	10	the	the	DET
azojete-205	175	11	five	five	NUM
azojete-205	175	12	(	(	PUNCT
azojete-205	175	13	5	5	NUM
azojete-205	175	14	)	)	PUNCT
azojete-205	175	15	epochs	epoch	NOUN
azojete-205	175	16	from	from	ADP
azojete-205	175	17	table	table	NOUN
azojete-205	175	18	2	2	NUM
azojete-205	175	19	,	,	PUNCT
azojete-205	175	20	we	we	PRON
azojete-205	175	21	observed	observe	VERB
azojete-205	175	22	that	that	SCONJ
azojete-205	175	23	the	the	DET
azojete-205	175	24	total	total	ADJ
azojete-205	175	25	sum	sum	NOUN
azojete-205	175	26	of	of	ADP
azojete-205	175	27	error	error	NOUN
azojete-205	175	28	decreases	decrease	NOUN
azojete-205	175	29	after	after	ADP
azojete-205	175	30	every	every	DET
azojete-205	175	31	epoch	epoch	NOUN
azojete-205	175	32	but	but	CCONJ
azojete-205	175	33	after	after	ADP
azojete-205	175	34	a	a	DET
azojete-205	175	35	while	while	NOUN
azojete-205	175	36	it	it	PRON
azojete-205	175	37	begins	begin	VERB
azojete-205	175	38	to	to	PART
azojete-205	175	39	increase	increase	VERB
azojete-205	175	40	(	(	PUNCT
azojete-205	175	41	for	for	ADP
azojete-205	175	42	a	a	DET
azojete-205	175	43	large	large	ADJ
azojete-205	175	44	dataset	dataset	NOUN
azojete-205	175	45	)	)	PUNCT
azojete-205	175	46	.	.	PUNCT
azojete-205	176	1	the	the	DET
azojete-205	176	2	point	point	NOUN
azojete-205	176	3	of	of	ADP
azojete-205	176	4	minimum	minimum	ADJ
azojete-205	176	5	validation	validation	NOUN
azojete-205	176	6	error	error	NOUN
azojete-205	176	7	is	be	AUX
azojete-205	176	8	a	a	DET
azojete-205	176	9	good	good	ADJ
azojete-205	176	10	indicator	indicator	NOUN
azojete-205	176	11	of	of	ADP
azojete-205	176	12	the	the	DET
azojete-205	176	13	best	good	ADJ
azojete-205	176	14	number	number	NOUN
azojete-205	176	15	of	of	ADP
azojete-205	176	16	epoch	epoch	NOUN
azojete-205	176	17	for	for	ADP
azojete-205	176	18	training	training	NOUN
azojete-205	176	19	and	and	CCONJ
azojete-205	176	20	the	the	DET
azojete-205	176	21	weights	weight	NOUN
azojete-205	176	22	at	at	ADP
azojete-205	176	23	that	that	DET
azojete-205	176	24	stage	stage	NOUN
azojete-205	176	25	are	be	AUX
azojete-205	176	26	most	most	ADV
azojete-205	176	27	likely	likely	ADJ
azojete-205	176	28	to	to	PART
azojete-205	176	29	provide	provide	VERB
azojete-205	176	30	the	the	DET
azojete-205	176	31	best	good	ADJ
azojete-205	176	32	error	error	NOUN
azojete-205	176	33	rate	rate	NOUN
azojete-205	176	34	in	in	ADP
azojete-205	176	35	new	new	ADJ
azojete-205	176	36	data	datum	NOUN
azojete-205	176	37	.	.	PUNCT
azojete-205	177	1	however	however	ADV
azojete-205	177	2	,	,	PUNCT
azojete-205	177	3	it	it	PRON
azojete-205	177	4	should	should	AUX
azojete-205	177	5	be	be	AUX
azojete-205	177	6	noted	note	VERB
azojete-205	177	7	that	that	SCONJ
azojete-205	177	8	the	the	DET
azojete-205	177	9	number	number	NOUN
azojete-205	177	10	of	of	ADP
azojete-205	177	11	observations	observation	NOUN
azojete-205	177	12	in	in	ADP
azojete-205	177	13	this	this	DET
azojete-205	177	14	simulation	simulation	NOUN
azojete-205	177	15	is	be	AUX
azojete-205	177	16	too	too	ADV
azojete-205	177	17	small	small	ADJ
azojete-205	177	18	for	for	ADP
azojete-205	177	19	estimating	estimate	VERB
azojete-205	177	20	the	the	DET
azojete-205	177	21	13	13	NUM
azojete-205	177	22	weights	weight	NOUN
azojete-205	177	23	,	,	PUNCT
azojete-205	177	24	hence	hence	ADV
azojete-205	177	25	the	the	DET
azojete-205	177	26	reason	reason	NOUN
azojete-205	177	27	for	for	ADP
azojete-205	177	28	the	the	DET
azojete-205	177	29	large	large	ADJ
azojete-205	177	30	error	error	NOUN
azojete-205	177	31	margin	margin	NOUN
azojete-205	177	32	between	between	ADP
azojete-205	177	33	the	the	DET
azojete-205	177	34	actual	actual	ADJ
azojete-205	177	35	price	price	NOUN
azojete-205	177	36	and	and	CCONJ
azojete-205	177	37	the	the	DET
azojete-205	177	38	predicted	predict	VERB
azojete-205	177	39	price	price	NOUN
azojete-205	177	40	(	(	PUNCT
azojete-205	177	41	table	table	NOUN
azojete-205	177	42	3	3	NUM
azojete-205	177	43	)	)	PUNCT
azojete-205	177	44	.	.	PUNCT
azojete-205	178	1	the	the	DET
azojete-205	178	2	negative	negative	ADJ
azojete-205	178	3	margin	margin	NOUN
azojete-205	178	4	signifies	signify	VERB
azojete-205	178	5	that	that	SCONJ
azojete-205	178	6	the	the	DET
azojete-205	178	7	predicted	predict	VERB
azojete-205	178	8	value	value	NOUN
azojete-205	178	9	is	be	AUX
azojete-205	178	10	more	more	ADJ
azojete-205	178	11	than	than	ADP
azojete-205	178	12	the	the	DET
azojete-205	178	13	actual	actual	ADJ
azojete-205	178	14	price	price	NOUN
azojete-205	178	15	.	.	PUNCT
azojete-205	179	1	as	as	SCONJ
azojete-205	179	2	the	the	DET
azojete-205	179	3	simulation	simulation	NOUN
azojete-205	179	4	runs	run	VERB
azojete-205	179	5	from	from	ADP
azojete-205	179	6	the	the	DET
azojete-205	179	7	sart	sart	NOUN
azojete-205	179	8	epoch	epoch	NOUN
azojete-205	179	9	(	(	PUNCT
azojete-205	179	10	epoch	epoch	NOUN
azojete-205	179	11	1	1	NUM
azojete-205	179	12	)	)	PUNCT
azojete-205	179	13	to	to	ADP
azojete-205	179	14	the	the	DET
azojete-205	179	15	final	final	ADJ
azojete-205	179	16	epoch	epoch	NOUN
azojete-205	179	17	(	(	PUNCT
azojete-205	179	18	epoch	epoch	NOUN
azojete-205	179	19	5	5	NUM
azojete-205	179	20	)	)	PUNCT
azojete-205	179	21	,	,	PUNCT
azojete-205	179	22	the	the	DET
azojete-205	179	23	predicted	predict	VERB
azojete-205	179	24	value	value	NOUN
azojete-205	179	25	seems	seem	VERB
azojete-205	179	26	to	to	PART
azojete-205	179	27	decrease	decrease	VERB
azojete-205	179	28	hence	hence	ADV
azojete-205	179	29	,	,	PUNCT
azojete-205	179	30	an	an	DET
azojete-205	179	31	increase	increase	NOUN
azojete-205	179	32	in	in	ADP
azojete-205	179	33	the	the	DET
azojete-205	179	34	margin	margin	NOUN
azojete-205	179	35	.	.	PUNCT
azojete-205	180	1	this	this	PRON
azojete-205	180	2	is	be	AUX
azojete-205	180	3	as	as	ADP
azojete-205	180	4	a	a	DET
azojete-205	180	5	result	result	NOUN
azojete-205	180	6	of	of	ADP
azojete-205	180	7	the	the	DET
azojete-205	180	8	learning	learning	NOUN
azojete-205	180	9	process	process	NOUN
azojete-205	180	10	taking	take	VERB
azojete-205	180	11	place	place	NOUN
azojete-205	180	12	from	from	ADP
azojete-205	180	13	one	one	NUM
azojete-205	180	14	epoch	epoch	NOUN
azojete-205	180	15	to	to	ADP
azojete-205	180	16	the	the	DET
azojete-205	180	17	next	next	ADJ
azojete-205	180	18	.	.	PUNCT
azojete-205	181	1	table	table	NOUN
azojete-205	181	2	3	3	NUM
azojete-205	181	3	gives	give	VERB
azojete-205	181	4	the	the	DET
azojete-205	181	5	predicted	predict	VERB
azojete-205	181	6	values	value	NOUN
azojete-205	181	7	on	on	ADP
azojete-205	181	8	the	the	DET
azojete-205	181	9	sample	sample	NOUN
azojete-205	181	10	dataset	dataset	NOUN
azojete-205	181	11	.	.	PUNCT
azojete-205	182	1	the	the	DET
azojete-205	182	2	predicted	predict	VERB
azojete-205	182	3	values	value	NOUN
azojete-205	182	4	were	be	AUX
azojete-205	182	5	obtained	obtain	VERB
azojete-205	182	6	from	from	ADP
azojete-205	182	7	the	the	DET
azojete-205	182	8	output	output	NOUN
azojete-205	182	9	values	value	NOUN
azojete-205	182	10	(	(	PUNCT
azojete-205	182	11	output	output	NOUN
azojete-205	182	12	6	6	NUM
azojete-205	182	13	)	)	PUNCT
azojete-205	182	14	of	of	ADP
azojete-205	182	15	the	the	DET
azojete-205	182	16	last	last	ADJ
azojete-205	182	17	epoch	epoch	NOUN
azojete-205	182	18	(	(	PUNCT
azojete-205	182	19	epoch	epoch	NOUN
azojete-205	182	20	5	5	NUM
azojete-205	182	21	)	)	PUNCT
azojete-205	182	22	.	.	PUNCT
azojete-205	183	1	http://www.azojete.com.ng	http://www.azojete.com.ng	ADP
azojete-205	183	2	arid	arid	PROPN
azojete-205	183	3	zone	zone	PROPN
azojete-205	183	4	journal	journal	NOUN
azojete-205	183	5	of	of	ADP
azojete-205	183	6	engineering	engineering	NOUN
azojete-205	183	7	,	,	PUNCT
azojete-205	183	8	technology	technology	NOUN
azojete-205	183	9	and	and	CCONJ
azojete-205	183	10	environment	environment	NOUN
azojete-205	183	11	,	,	PUNCT
azojete-205	183	12	june	june	PROPN
azojete-205	183	13	,	,	PUNCT
azojete-205	183	14	2020	2020	NUM
azojete-205	183	15	;	;	PUNCT
azojete-205	183	16	vol	vol	NOUN
azojete-205	183	17	.	.	NOUN
azojete-205	183	18	16(2	16(2	NUM
azojete-205	183	19	)	)	PUNCT
azojete-205	183	20	243	243	NUM
azojete-205	183	21	-	-	SYM
azojete-205	183	22	254	254	NUM
azojete-205	183	23	.	.	PUNCT
azojete-205	184	1	issn	issn	PROPN
azojete-205	184	2	1596	1596	NUM
azojete-205	184	3	-	-	SYM
azojete-205	184	4	2490	2490	NUM
azojete-205	184	5	;	;	PUNCT
azojete-205	184	6	e	e	X
azojete-205	184	7	-	-	NOUN
azojete-205	184	8	issn	issn	VERB
azojete-205	184	9	2545	2545	NUM
azojete-205	184	10	-	-	SYM
azojete-205	184	11	5818	5818	NUM
azojete-205	184	12	;	;	PUNCT
azojete-205	184	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	184	14	corresponding	correspond	VERB
azojete-205	184	15	author	author	NOUN
azojete-205	184	16	’s	’s	PART
azojete-205	184	17	e	e	NOUN
azojete-205	184	18	-	-	NOUN
azojete-205	184	19	mail	mail	NOUN
azojete-205	184	20	address	address	NOUN
azojete-205	184	21	:	:	PUNCT
azojete-205	184	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	VERB
azojete-205	184	23	253	253	NUM
azojete-205	184	24	table	table	NOUN
azojete-205	184	25	3	3	NUM
azojete-205	184	26	:	:	PUNCT
azojete-205	184	27	predicted	predict	VERB
azojete-205	184	28	values	value	NOUN
azojete-205	184	29	on	on	ADP
azojete-205	184	30	a	a	DET
azojete-205	184	31	sample	sample	NOUN
azojete-205	184	32	dataset	dataset	VERB
azojete-205	184	33	5	5	NUM
azojete-205	184	34	.	.	PUNCT
azojete-205	184	35	conclusion	conclusion	NOUN
azojete-205	184	36	in	in	ADP
azojete-205	184	37	this	this	DET
azojete-205	184	38	paper	paper	NOUN
azojete-205	184	39	,	,	PUNCT
azojete-205	184	40	we	we	PRON
azojete-205	184	41	try	try	VERB
azojete-205	184	42	to	to	PART
azojete-205	184	43	bring	bring	VERB
azojete-205	184	44	to	to	ADP
azojete-205	184	45	the	the	DET
azojete-205	184	46	fore	fore	NOUN
azojete-205	184	47	an	an	DET
azojete-205	184	48	overview	overview	NOUN
azojete-205	184	49	of	of	ADP
azojete-205	184	50	artificial	artificial	ADJ
azojete-205	184	51	neural	neural	ADJ
azojete-205	184	52	networks	network	NOUN
azojete-205	184	53	(	(	PUNCT
azojete-205	184	54	ann	ann	PROPN
azojete-205	184	55	)	)	PUNCT
azojete-205	184	56	as	as	ADP
azojete-205	184	57	a	a	DET
azojete-205	184	58	prediction	prediction	NOUN
azojete-205	184	59	tool	tool	NOUN
azojete-205	184	60	.	.	PUNCT
azojete-205	185	1	it	it	PRON
azojete-205	185	2	is	be	AUX
azojete-205	185	3	an	an	DET
azojete-205	185	4	attempt	attempt	NOUN
azojete-205	185	5	to	to	PART
azojete-205	185	6	build	build	VERB
azojete-205	185	7	machine	machine	NOUN
azojete-205	185	8	that	that	PRON
azojete-205	185	9	will	will	AUX
azojete-205	185	10	mimic	mimic	VERB
azojete-205	185	11	brain	brain	NOUN
azojete-205	185	12	activities	activity	NOUN
azojete-205	185	13	and	and	CCONJ
azojete-205	185	14	be	be	AUX
azojete-205	185	15	able	able	ADJ
azojete-205	185	16	to	to	PART
azojete-205	185	17	learn	learn	VERB
azojete-205	185	18	.	.	PUNCT
azojete-205	186	1	ann	ann	PROPN
azojete-205	186	2	usually	usually	ADV
azojete-205	186	3	learns	learn	VERB
azojete-205	186	4	by	by	ADP
azojete-205	186	5	examples	example	NOUN
azojete-205	186	6	.	.	PUNCT
azojete-205	187	1	basic	basic	ADJ
azojete-205	187	2	ann	ann	PROPN
azojete-205	187	3	is	be	AUX
azojete-205	187	4	composed	compose	VERB
azojete-205	187	5	of	of	ADP
azojete-205	187	6	three	three	NUM
azojete-205	187	7	layers	layer	NOUN
azojete-205	187	8	,	,	PUNCT
azojete-205	187	9	input	input	NOUN
azojete-205	187	10	,	,	PUNCT
azojete-205	187	11	output	output	NOUN
azojete-205	187	12	and	and	CCONJ
azojete-205	187	13	hidden	hidden	ADJ
azojete-205	187	14	layer	layer	NOUN
azojete-205	187	15	.	.	PUNCT
azojete-205	188	1	each	each	DET
azojete-205	188	2	layer	layer	NOUN
azojete-205	188	3	can	can	AUX
azojete-205	188	4	have	have	VERB
azojete-205	188	5	number	number	NOUN
azojete-205	188	6	of	of	ADP
azojete-205	188	7	nodes	node	NOUN
azojete-205	188	8	and	and	CCONJ
azojete-205	188	9	nodes	node	NOUN
azojete-205	188	10	from	from	ADP
azojete-205	188	11	input	input	NOUN
azojete-205	188	12	layer	layer	NOUN
azojete-205	188	13	are	be	AUX
azojete-205	188	14	connected	connect	VERB
azojete-205	188	15	to	to	ADP
azojete-205	188	16	the	the	DET
azojete-205	188	17	nodes	node	NOUN
azojete-205	188	18	from	from	ADP
azojete-205	188	19	hidden	hide	VERB
azojete-205	188	20	layer	layer	NOUN
azojete-205	188	21	.	.	PUNCT
azojete-205	189	1	nodes	node	NOUN
azojete-205	189	2	from	from	ADP
azojete-205	189	3	hidden	hidden	ADJ
azojete-205	189	4	layer	layer	NOUN
azojete-205	189	5	are	be	AUX
azojete-205	189	6	connected	connect	VERB
azojete-205	189	7	to	to	ADP
azojete-205	189	8	the	the	DET
azojete-205	189	9	nodes	node	NOUN
azojete-205	189	10	from	from	ADP
azojete-205	189	11	output	output	NOUN
azojete-205	189	12	layer	layer	NOUN
azojete-205	189	13	.	.	PUNCT
azojete-205	190	1	those	those	DET
azojete-205	190	2	connections	connection	NOUN
azojete-205	190	3	represent	represent	VERB
azojete-205	190	4	weights	weight	NOUN
azojete-205	190	5	between	between	ADP
azojete-205	190	6	nodes	node	NOUN
azojete-205	190	7	.	.	PUNCT
azojete-205	191	1	it	it	PRON
azojete-205	191	2	further	far	ADV
azojete-205	191	3	describes	describe	VERB
azojete-205	191	4	one	one	NUM
azojete-205	191	5	of	of	ADP
azojete-205	191	6	the	the	DET
azojete-205	191	7	most	most	ADV
azojete-205	191	8	popular	popular	ADJ
azojete-205	191	9	ann	ann	PROPN
azojete-205	191	10	algorithms	algorithm	NOUN
azojete-205	191	11	;	;	PUNCT
azojete-205	191	12	the	the	DET
azojete-205	191	13	back	back	ADJ
azojete-205	191	14	propagation	propagation	NOUN
azojete-205	191	15	(	(	PUNCT
azojete-205	191	16	bp	bp	PROPN
azojete-205	191	17	)	)	PUNCT
azojete-205	191	18	algorithm	algorithm	NOUN
azojete-205	191	19	.	.	PUNCT
azojete-205	192	1	the	the	DET
azojete-205	192	2	idea	idea	NOUN
azojete-205	192	3	behind	behind	ADP
azojete-205	192	4	bp	bp	PROPN
azojete-205	192	5	algorithm	algorithm	PROPN
azojete-205	192	6	is	be	AUX
azojete-205	192	7	quite	quite	ADV
azojete-205	192	8	simple	simple	ADJ
azojete-205	192	9	;	;	PUNCT
azojete-205	192	10	output	output	NOUN
azojete-205	192	11	of	of	ADP
azojete-205	192	12	ann	ann	PROPN
azojete-205	192	13	is	be	AUX
azojete-205	192	14	evaluated	evaluate	VERB
azojete-205	192	15	against	against	ADP
azojete-205	192	16	desired	desire	VERB
azojete-205	192	17	output	output	NOUN
azojete-205	192	18	.	.	PUNCT
azojete-205	193	1	if	if	SCONJ
azojete-205	193	2	results	result	NOUN
azojete-205	193	3	are	be	AUX
azojete-205	193	4	not	not	PART
azojete-205	193	5	satisfactory	satisfactory	ADJ
azojete-205	193	6	,	,	PUNCT
azojete-205	193	7	connection	connection	NOUN
azojete-205	193	8	(	(	PUNCT
azojete-205	193	9	weights	weight	NOUN
azojete-205	193	10	)	)	PUNCT
azojete-205	193	11	between	between	ADP
azojete-205	193	12	layers	layer	NOUN
azojete-205	193	13	are	be	AUX
azojete-205	193	14	modified	modify	VERB
azojete-205	193	15	and	and	CCONJ
azojete-205	193	16	the	the	DET
azojete-205	193	17	process	process	NOUN
azojete-205	193	18	is	be	AUX
azojete-205	193	19	repeated	repeat	VERB
azojete-205	193	20	again	again	ADV
azojete-205	193	21	and	and	CCONJ
azojete-205	193	22	again	again	ADV
azojete-205	193	23	until	until	SCONJ
azojete-205	193	24	error	error	NOUN
azojete-205	193	25	is	be	AUX
azojete-205	193	26	small	small	ADJ
azojete-205	193	27	enough	enough	ADV
azojete-205	193	28	.	.	PUNCT
azojete-205	194	1	simple	simple	ADJ
azojete-205	194	2	bp	bp	PROPN
azojete-205	194	3	example	example	NOUN
azojete-205	194	4	is	be	AUX
azojete-205	194	5	demonstrated	demonstrate	VERB
azojete-205	194	6	in	in	ADP
azojete-205	194	7	this	this	DET
azojete-205	194	8	paper	paper	NOUN
azojete-205	194	9	with	with	ADP
azojete-205	194	10	ann	ann	PROPN
azojete-205	194	11	architecture	architecture	NOUN
azojete-205	194	12	also	also	ADV
azojete-205	194	13	covered	cover	VERB
azojete-205	194	14	.	.	PUNCT
azojete-205	195	1	in	in	ADP
azojete-205	195	2	conclusion	conclusion	NOUN
azojete-205	195	3	,	,	PUNCT
azojete-205	195	4	ann	ann	PROPN
azojete-205	195	5	is	be	AUX
azojete-205	195	6	able	able	ADJ
azojete-205	195	7	to	to	PART
azojete-205	195	8	perform	perform	VERB
azojete-205	195	9	classification	classification	NOUN
azojete-205	195	10	and	and	CCONJ
azojete-205	195	11	even	even	ADV
azojete-205	195	12	discover	discover	VERB
azojete-205	195	13	new	new	ADJ
azojete-205	195	14	trends	trend	NOUN
azojete-205	195	15	or	or	CCONJ
azojete-205	195	16	patterns	pattern	NOUN
azojete-205	195	17	in	in	ADP
azojete-205	195	18	data	datum	NOUN
azojete-205	195	19	when	when	SCONJ
azojete-205	195	20	supplied	supply	VERB
azojete-205	195	21	with	with	ADP
azojete-205	195	22	enough	enough	ADJ
azojete-205	195	23	samples	sample	NOUN
azojete-205	195	24	.	.	PUNCT
azojete-205	196	1	the	the	DET
azojete-205	196	2	dataset	dataset	NOUN
azojete-205	196	3	must	must	AUX
azojete-205	196	4	be	be	AUX
azojete-205	196	5	considerably	considerably	ADV
azojete-205	196	6	large	large	ADJ
azojete-205	196	7	for	for	SCONJ
azojete-205	196	8	ann	ann	PROPN
azojete-205	196	9	to	to	PART
azojete-205	196	10	perform	perform	VERB
azojete-205	196	11	well	well	ADV
azojete-205	196	12	.	.	PUNCT
azojete-205	197	1	from	from	ADP
azojete-205	197	2	the	the	DET
azojete-205	197	3	sample	sample	NOUN
azojete-205	197	4	simulation	simulation	NOUN
azojete-205	197	5	,	,	PUNCT
azojete-205	197	6	we	we	PRON
azojete-205	197	7	were	be	AUX
azojete-205	197	8	able	able	ADJ
azojete-205	197	9	to	to	PART
azojete-205	197	10	discover	discover	VERB
azojete-205	197	11	patterns	pattern	NOUN
azojete-205	197	12	or	or	CCONJ
azojete-205	197	13	trend	trend	NOUN
azojete-205	197	14	in	in	ADP
azojete-205	197	15	the	the	DET
azojete-205	197	16	price	price	NOUN
azojete-205	197	17	of	of	ADP
azojete-205	197	18	the	the	DET
azojete-205	197	19	given	give	VERB
azojete-205	197	20	commodities	commodity	NOUN
azojete-205	197	21	(	(	PUNCT
azojete-205	197	22	milk	milk	NOUN
azojete-205	197	23	and	and	CCONJ
azojete-205	197	24	sugar	sugar	NOUN
azojete-205	197	25	in	in	ADP
azojete-205	197	26	this	this	DET
azojete-205	197	27	case	case	NOUN
azojete-205	197	28	)	)	PUNCT
azojete-205	197	29	.	.	PUNCT
azojete-205	198	1	as	as	SCONJ
azojete-205	198	2	the	the	DET
azojete-205	198	3	simulation	simulation	NOUN
azojete-205	198	4	iterates	iterate	VERB
azojete-205	198	5	from	from	ADP
azojete-205	198	6	one	one	NUM
azojete-205	198	7	epoch	epoch	NOUN
azojete-205	198	8	to	to	ADP
azojete-205	198	9	the	the	DET
azojete-205	198	10	next	next	ADJ
azojete-205	198	11	,	,	PUNCT
azojete-205	198	12	the	the	DET
azojete-205	198	13	predicted	predict	VERB
azojete-205	198	14	value	value	NOUN
azojete-205	198	15	decreases	decrease	VERB
azojete-205	198	16	to	to	ADP
azojete-205	198	17	a	a	DET
azojete-205	198	18	given	give	VERB
azojete-205	198	19	value	value	NOUN
azojete-205	198	20	before	before	SCONJ
azojete-205	198	21	it	it	PRON
azojete-205	198	22	increases	increase	VERB
azojete-205	198	23	again	again	ADV
azojete-205	198	24	.	.	PUNCT
azojete-205	199	1	the	the	DET
azojete-205	199	2	minimum	minimum	ADJ
azojete-205	199	3	value	value	NOUN
azojete-205	199	4	attained	attain	VERB
azojete-205	199	5	before	before	SCONJ
azojete-205	199	6	it	it	PRON
azojete-205	199	7	starts	start	VERB
azojete-205	199	8	to	to	PART
azojete-205	199	9	inrease	inrease	PROPN
azojete-205	199	10	again	again	ADV
azojete-205	199	11	point	point	VERB
azojete-205	199	12	to	to	ADP
azojete-205	199	13	the	the	DET
azojete-205	199	14	best	good	ADJ
azojete-205	199	15	prediction	prediction	NOUN
azojete-205	199	16	.	.	PUNCT
azojete-205	200	1	similarly	similarly	ADV
azojete-205	200	2	,	,	PUNCT
azojete-205	200	3	the	the	DET
azojete-205	200	4	observed	observed	ADJ
azojete-205	200	5	decrease	decrease	NOUN
azojete-205	200	6	in	in	ADP
azojete-205	200	7	the	the	DET
azojete-205	200	8	margin	margin	NOUN
azojete-205	200	9	between	between	ADP
azojete-205	200	10	stated	state	VERB
azojete-205	200	11	price	price	NOUN
azojete-205	200	12	and	and	CCONJ
azojete-205	200	13	predicted	predict	VERB
azojete-205	200	14	value	value	NOUN
azojete-205	200	15	shows	show	VERB
azojete-205	200	16	a	a	DET
azojete-205	200	17	pattern	pattern	NOUN
azojete-205	200	18	within	within	ADP
azojete-205	200	19	the	the	DET
azojete-205	200	20	data	datum	NOUN
azojete-205	200	21	which	which	PRON
azojete-205	200	22	is	be	AUX
azojete-205	200	23	not	not	PART
azojete-205	200	24	visible	visible	ADJ
azojete-205	200	25	in	in	ADP
azojete-205	200	26	the	the	DET
azojete-205	200	27	given	give	VERB
azojete-205	200	28	dataset	dataset	NOUN
azojete-205	200	29	.	.	PUNCT
azojete-205	201	1	this	this	PRON
azojete-205	201	2	is	be	AUX
azojete-205	201	3	an	an	DET
azojete-205	201	4	indication	indication	NOUN
azojete-205	201	5	that	that	SCONJ
azojete-205	201	6	in	in	ADP
azojete-205	201	7	most	most	ADJ
azojete-205	201	8	cases	case	NOUN
azojete-205	201	9	neural	neural	ADJ
azojete-205	201	10	networks	network	NOUN
azojete-205	201	11	perform	perform	VERB
azojete-205	201	12	better	well	ADJ
azojete-205	201	13	than	than	ADP
azojete-205	201	14	the	the	DET
azojete-205	201	15	traditional	traditional	ADJ
azojete-205	201	16	statistical	statistical	ADJ
azojete-205	201	17	techniques	technique	NOUN
azojete-205	201	18	.	.	PUNCT
azojete-205	202	1	thus	thus	ADV
azojete-205	202	2	,	,	PUNCT
azojete-205	202	3	neural	neural	ADJ
azojete-205	202	4	networks	network	NOUN
azojete-205	202	5	are	be	AUX
azojete-205	202	6	becoming	become	VERB
azojete-205	202	7	very	very	ADV
azojete-205	202	8	popular	popular	ADJ
azojete-205	202	9	with	with	ADP
azojete-205	202	10	data	datum	NOUN
azojete-205	202	11	mining	mining	NOUN
azojete-205	202	12	practitioners	practitioner	NOUN
azojete-205	202	13	,	,	PUNCT
azojete-205	202	14	particularly	particularly	ADV
azojete-205	202	15	in	in	ADP
azojete-205	202	16	medical	medical	ADJ
azojete-205	202	17	research	research	NOUN
azojete-205	202	18	,	,	PUNCT
azojete-205	202	19	finance	finance	NOUN
azojete-205	202	20	and	and	CCONJ
azojete-205	202	21	marketing	marketing	NOUN
azojete-205	202	22	.	.	PUNCT
azojete-205	203	1	this	this	PRON
azojete-205	203	2	is	be	AUX
azojete-205	203	3	because	because	SCONJ
azojete-205	203	4	they	they	PRON
azojete-205	203	5	have	have	AUX
azojete-205	203	6	proven	prove	VERB
azojete-205	203	7	their	their	PRON
azojete-205	203	8	predictive	predictive	ADJ
azojete-205	203	9	power	power	NOUN
azojete-205	203	10	through	through	ADP
azojete-205	203	11	comparison	comparison	NOUN
azojete-205	203	12	with	with	ADP
azojete-205	203	13	other	other	ADJ
azojete-205	203	14	statistical	statistical	ADJ
azojete-205	203	15	techniques	technique	NOUN
azojete-205	203	16	using	use	VERB
azojete-205	203	17	real	real	ADJ
azojete-205	203	18	data	datum	NOUN
azojete-205	203	19	sets	set	NOUN
azojete-205	203	20	(	(	PUNCT
azojete-205	203	21	singh	singh	PROPN
azojete-205	203	22	and	and	CCONJ
azojete-205	203	23	chauhan	chauhan	PROPN
azojete-205	203	24	,	,	PUNCT
azojete-205	203	25	2009	2009	NUM
azojete-205	203	26	)	)	PUNCT
azojete-205	203	27	.	.	PUNCT
azojete-205	204	1	it	it	PRON
azojete-205	204	2	is	be	AUX
azojete-205	204	3	recommended	recommend	VERB
azojete-205	204	4	therefore	therefore	ADV
azojete-205	204	5	that	that	SCONJ
azojete-205	204	6	organizations	organization	NOUN
azojete-205	204	7	who	who	PRON
azojete-205	204	8	want	want	VERB
azojete-205	204	9	to	to	PART
azojete-205	204	10	make	make	VERB
azojete-205	204	11	meaning	meaning	NOUN
azojete-205	204	12	from	from	ADP
azojete-205	204	13	their	their	PRON
azojete-205	204	14	huge	huge	ADJ
azojete-205	204	15	data	datum	NOUN
azojete-205	204	16	repository	repository	NOUN
azojete-205	204	17	should	should	AUX
azojete-205	204	18	apply	apply	VERB
azojete-205	204	19	ann	ann	PROPN
azojete-205	204	20	models	model	NOUN
azojete-205	204	21	.	.	PUNCT
azojete-205	205	1	this	this	PRON
azojete-205	205	2	is	be	AUX
azojete-205	205	3	not	not	PART
azojete-205	205	4	to	to	PART
azojete-205	205	5	say	say	VERB
azojete-205	205	6	that	that	SCONJ
azojete-205	205	7	ann	ann	PROPN
azojete-205	205	8	are	be	AUX
azojete-205	205	9	perfect	perfect	ADJ
azojete-205	205	10	but	but	CCONJ
azojete-205	205	11	due	due	ADP
azojete-205	205	12	to	to	ADP
azojete-205	205	13	design	design	NOUN
azojete-205	205	14	problems	problem	NOUN
azojete-205	205	15	neural	neural	ADJ
azojete-205	205	16	systems	system	NOUN
azojete-205	205	17	need	need	VERB
azojete-205	205	18	further	further	ADJ
azojete-205	205	19	research	research	NOUN
azojete-205	205	20	before	before	SCONJ
azojete-205	205	21	they	they	PRON
azojete-205	205	22	are	be	AUX
azojete-205	205	23	widely	widely	ADV
azojete-205	205	24	accepted	accept	VERB
azojete-205	205	25	in	in	ADP
azojete-205	205	26	industry	industry	NOUN
azojete-205	205	27	.	.	PUNCT
azojete-205	206	1	as	as	SCONJ
azojete-205	206	2	software	software	NOUN
azojete-205	206	3	companies	company	NOUN
azojete-205	206	4	develop	develop	VERB
azojete-205	206	5	more	more	ADV
azojete-205	206	6	sophisticated	sophisticated	ADJ
azojete-205	206	7	models	model	NOUN
azojete-205	206	8	with	with	ADP
azojete-205	206	9	user	user	NOUN
azojete-205	206	10	-	-	PUNCT
azojete-205	206	11	friendly	friendly	ADJ
azojete-205	206	12	interfaces	interface	NOUN
azojete-205	206	13	,	,	PUNCT
azojete-205	206	14	the	the	DET
azojete-205	206	15	attraction	attraction	NOUN
azojete-205	206	16	to	to	ADP
azojete-205	206	17	artificial	artificial	ADJ
azojete-205	206	18	neural	neural	ADJ
azojete-205	206	19	networks	network	NOUN
azojete-205	206	20	will	will	AUX
azojete-205	206	21	continue	continue	VERB
azojete-205	206	22	to	to	PART
azojete-205	206	23	grow	grow	VERB
azojete-205	206	24	.	.	PUNCT
azojete-205	207	1	references	reference	NOUN
azojete-205	207	2	baker	baker	PROPN
azojete-205	207	3	,	,	PUNCT
azojete-205	207	4	rsj	rsj	NOUN
azojete-205	207	5	.	.	PUNCT
azojete-205	207	6	and	and	CCONJ
azojete-205	207	7	yacef	yacef	PROPN
azojete-205	207	8	,	,	PUNCT
azojete-205	207	9	k.	k.	PROPN
azojete-205	207	10	2009	2009	NUM
azojete-205	207	11	.	.	PUNCT
azojete-205	208	1	the	the	DET
azojete-205	208	2	state	state	NOUN
azojete-205	208	3	of	of	ADP
azojete-205	208	4	educational	educational	ADJ
azojete-205	208	5	data	datum	NOUN
azojete-205	208	6	mining	mining	NOUN
azojete-205	208	7	in	in	ADP
azojete-205	208	8	2009	2009	NUM
azojete-205	208	9	:	:	PUNCT
azojete-205	208	10	a	a	DET
azojete-205	208	11	review	review	NOUN
azojete-205	208	12	and	and	CCONJ
azojete-205	208	13	future	future	ADJ
azojete-205	208	14	visions	vision	NOUN
azojete-205	208	15	.	.	PUNCT
azojete-205	209	1	journal	journal	NOUN
azojete-205	209	2	of	of	ADP
azojete-205	209	3	educational	educational	ADJ
azojete-205	209	4	data	datum	NOUN
azojete-205	209	5	mining	mining	NOUN
azojete-205	209	6	,	,	PUNCT
azojete-205	209	7	1(1	1(1	NUM
azojete-205	209	8	):	):	PUNCT
azojete-205	209	9	3–17	3–17	PROPN
azojete-205	209	10	.	.	PUNCT
azojete-205	210	1	s	s	X
azojete-205	210	2	/	/	SYM
azojete-205	210	3	no	no	NOUN
azojete-205	210	4	.	.	PUNCT
azojete-205	211	1	x1	x1	PROPN
azojete-205	211	2	x2	x2	PROPN
azojete-205	211	3	price	price	NOUN
azojete-205	211	4	predicted	predict	VERB
azojete-205	211	5	values	value	NOUN
azojete-205	211	6	margin	margin	NOUN
azojete-205	211	7	(	(	PUNCT
azojete-205	211	8	price	price	NOUN
azojete-205	211	9	predicted	predict	VERB
azojete-205	211	10	value	value	NOUN
azojete-205	211	11	)	)	PUNCT
azojete-205	211	12	1	1	NUM
azojete-205	211	13	0.2	0.2	NUM
azojete-205	211	14	0.9	0.9	NUM
azojete-205	211	15	0.65	0.65	NUM
azojete-205	211	16	0.58	0.58	NUM
azojete-205	211	17	0.07	0.07	NUM
azojete-205	211	18	2	2	NUM
azojete-205	211	19	0.1	0.1	NUM
azojete-205	211	20	0.1	0.1	NUM
azojete-205	211	21	0.34	0.34	NUM
azojete-205	211	22	0.58	0.58	NUM
azojete-205	211	23	-0.24	-0.24	NOUN
azojete-205	211	24	3	3	NUM
azojete-205	211	25	0.2	0.2	NUM
azojete-205	211	26	0.4	0.4	NUM
azojete-205	211	27	0.42	0.42	NUM
azojete-205	211	28	0.57	0.57	NUM
azojete-205	211	29	-0.15	-0.15	NUM
azojete-205	211	30	4	4	NUM
azojete-205	211	31	0.2	0.2	NUM
azojete-205	211	32	0.5	0.5	NUM
azojete-205	211	33	0.49	0.49	NUM
azojete-205	211	34	0.55	0.55	NUM
azojete-205	211	35	-0.06	-0.06	NUM
azojete-205	211	36	5	5	NUM
azojete-205	211	37	0.4	0.4	NUM
azojete-205	211	38	0.5	0.5	NUM
azojete-205	211	39	0.72	0.72	NUM
azojete-205	211	40	0.55	0.55	NUM
azojete-205	211	41	0.17	0.17	NUM
azojete-205	211	42	6	6	NUM
azojete-205	211	43	0.3	0.3	NUM
azojete-205	211	44	0.8	0.8	NUM
azojete-205	211	45	0.83	0.83	NUM
azojete-205	211	46	0.56	0.56	NUM
azojete-205	211	47	0.27	0.27	NUM
azojete-205	211	48	file:///c:/users	file:///c:/user	NOUN
azojete-205	211	49	/	/	SYM
azojete-205	211	50	user	user	NOUN
azojete-205	211	51	/	/	SYM
azojete-205	211	52	downloads	download	NOUN
azojete-205	211	53	/	/	SYM
azojete-205	211	54	azojete143	azojete143	PROPN
azojete-205	211	55	/	/	SYM
azojete-205	211	56	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	211	57	abah	abah	NOUN
azojete-205	211	58	et	et	PROPN
azojete-205	211	59	al	al	PROPN
azojete-205	211	60	:	:	PUNCT
azojete-205	211	61	computational	computational	ADJ
azojete-205	211	62	model	model	NOUN
azojete-205	211	63	of	of	ADP
azojete-205	211	64	artificial	artificial	ADJ
azojete-205	211	65	neural	neural	ADJ
azojete-205	211	66	networks	network	NOUN
azojete-205	211	67	and	and	CCONJ
azojete-205	211	68	its	its	PRON
azojete-205	211	69	applications	application	NOUN
azojete-205	211	70	in	in	ADP
azojete-205	211	71	data	datum	NOUN
azojete-205	211	72	mining	mining	NOUN
azojete-205	211	73	.	.	PUNCT
azojete-205	212	1	azojete,16(2):243	azojete,16(2):243	PROPN
azojete-205	212	2	-	-	PUNCT
azojete-205	212	3	254	254	NUM
azojete-205	212	4	.	.	PUNCT
azojete-205	213	1	issn	issn	PROPN
azojete-205	213	2	1596	1596	NUM
azojete-205	213	3	-	-	SYM
azojete-205	213	4	2490	2490	NUM
azojete-205	213	5	;	;	PUNCT
azojete-205	213	6	e	e	X
azojete-205	213	7	-	-	NOUN
azojete-205	213	8	issn	issn	VERB
azojete-205	213	9	2545	2545	NUM
azojete-205	213	10	-	-	SYM
azojete-205	213	11	5818	5818	NUM
azojete-205	213	12	,	,	PUNCT
azojete-205	213	13	www.azojete.com.ng	www.azojete.com.ng	NOUN
azojete-205	213	14	corresponding	correspond	VERB
azojete-205	213	15	author	author	NOUN
azojete-205	213	16	’s	’s	PART
azojete-205	213	17	e	e	NOUN
azojete-205	213	18	-	-	NOUN
azojete-205	213	19	mail	mail	NOUN
azojete-205	213	20	address	address	NOUN
azojete-205	213	21	:	:	PUNCT
azojete-205	213	22	abah@unimaid.edu.ng	abah@unimaid.edu.ng	VERB
azojete-205	213	23	254	254	NUM
azojete-205	213	24	beale	beale	NOUN
azojete-205	213	25	,	,	PUNCT
azojete-205	213	26	r.	r.	PROPN
azojete-205	213	27	and	and	CCONJ
azojete-205	213	28	jackson	jackson	PROPN
azojete-205	213	29	,	,	PUNCT
azojete-205	213	30	t.	t.	PROPN
azojete-205	213	31	1990	1990	NUM
azojete-205	213	32	.	.	PUNCT
azojete-205	214	1	neural	neural	ADJ
azojete-205	214	2	computing	computing	NOUN
azojete-205	214	3	:	:	PUNCT
azojete-205	214	4	an	an	DET
azojete-205	214	5	introduction	introduction	NOUN
azojete-205	214	6	.	.	PUNCT
azojete-205	215	1	adam	adam	PROPN
azojete-205	215	2	hilger	hilger	PROPN
azojete-205	215	3	,	,	PUNCT
azojete-205	215	4	bristol	bristol	PROPN
azojete-205	215	5	,	,	PUNCT
azojete-205	215	6	england	england	PROPN
azojete-205	215	7	.	.	PROPN
azojete-205	215	8	,	,	PUNCT
azojete-205	215	9	pp.1	pp.1	PROPN
azojete-205	215	10	-	-	PUNCT
azojete-205	215	11	14	14	NUM
azojete-205	215	12	.	.	PUNCT
azojete-205	216	1	berry	berry	NOUN
azojete-205	216	2	,	,	PUNCT
azojete-205	216	3	mja	mja	PROPN
azojete-205	216	4	.	.	PROPN
azojete-205	216	5	and	and	CCONJ
azojete-205	216	6	linoff	linoff	PROPN
azojete-205	216	7	,	,	PUNCT
azojete-205	216	8	gs	gs	NOUN
azojete-205	216	9	.	.	PROPN
azojete-205	216	10	1997	1997	NUM
azojete-205	216	11	.	.	PUNCT
azojete-205	217	1	data	datum	NOUN
azojete-205	217	2	mining	mining	NOUN
azojete-205	217	3	techniques	technique	NOUN
azojete-205	217	4	.	.	PUNCT
azojete-205	218	1	new	new	PROPN
azojete-205	218	2	york	york	PROPN
azojete-205	218	3	:	:	PUNCT
azojete-205	218	4	wiley	wiley	PROPN
azojete-205	218	5	and	and	CCONJ
azojete-205	218	6	sons	son	NOUN
azojete-205	218	7	.	.	PUNCT
azojete-205	218	8	,	,	PUNCT
azojete-205	219	1	pp	pp	ADJ
azojete-205	219	2	.	.	PUNCT
azojete-205	220	1	1	1	NUM
azojete-205	220	2	-	-	SYM
azojete-205	220	3	444	444	NUM
azojete-205	220	4	.	.	PUNCT
azojete-205	221	1	berry	berry	NOUN
azojete-205	221	2	,	,	PUNCT
azojete-205	221	3	mja	mja	PROPN
azojete-205	221	4	.	.	PROPN
azojete-205	221	5	and	and	CCONJ
azojete-205	221	6	linoff	linoff	PROPN
azojete-205	221	7	,	,	PUNCT
azojete-205	221	8	gs	gs	NOUN
azojete-205	221	9	.	.	PROPN
azojete-205	221	10	2000	2000	NUM
azojete-205	221	11	.	.	PUNCT
azojete-205	222	1	mastering	master	VERB
azojete-205	222	2	data	datum	NOUN
azojete-205	222	3	mining	mining	NOUN
azojete-205	222	4	:	:	PUNCT
azojete-205	222	5	the	the	DET
azojete-205	222	6	art	art	NOUN
azojete-205	222	7	and	and	CCONJ
azojete-205	222	8	science	science	NOUN
azojete-205	222	9	of	of	ADP
azojete-205	222	10	customer	customer	NOUN
azojete-205	222	11	relationship	relationship	NOUN
azojete-205	222	12	management	management	NOUN
azojete-205	222	13	.	.	PUNCT
azojete-205	223	1	new	new	PROPN
azojete-205	223	2	york	york	PROPN
azojete-205	223	3	:	:	PUNCT
azojete-205	223	4	wiley	wiley	PROPN
azojete-205	223	5	.	.	PUNCT
azojete-205	223	6	,	,	PUNCT
azojete-205	224	1	pp	pp	PROPN
azojete-205	224	2	.	.	PUNCT
azojete-205	225	1	1	1	NUM
azojete-205	225	2	-	-	SYM
azojete-205	225	3	512	512	NUM
azojete-205	225	4	.	.	PUNCT
azojete-205	226	1	bhise	bhise	PROPN
azojete-205	226	2	,	,	PUNCT
azojete-205	226	3	rb	rb	PROPN
azojete-205	226	4	.	.	PROPN
azojete-205	226	5	,	,	PUNCT
azojete-205	226	6	thorat	thorat	NOUN
azojete-205	226	7	,	,	PUNCT
azojete-205	226	8	ss	ss	NOUN
azojete-205	226	9	.	.	PROPN
azojete-205	226	10	and	and	CCONJ
azojete-205	226	11	supekar	supekar	PROPN
azojete-205	226	12	,	,	PUNCT
azojete-205	226	13	ak	ak	PROPN
azojete-205	226	14	.	.	PROPN
azojete-205	226	15	2013	2013	NUM
azojete-205	226	16	.	.	PUNCT
azojete-205	227	1	importance	importance	NOUN
azojete-205	227	2	of	of	ADP
azojete-205	227	3	data	datum	NOUN
azojete-205	227	4	mining	mining	NOUN
azojete-205	227	5	in	in	ADP
azojete-205	227	6	higher	high	ADJ
azojete-205	227	7	education	education	NOUN
azojete-205	227	8	system	system	NOUN
azojete-205	227	9	.	.	PUNCT
azojete-205	228	1	iosr	iosr	ADJ
azojete-205	228	2	journal	journal	PROPN
azojete-205	228	3	of	of	ADP
azojete-205	228	4	humanities	humanity	NOUN
azojete-205	228	5	and	and	CCONJ
azojete-205	228	6	social	social	ADJ
azojete-205	228	7	science	science	NOUN
azojete-205	228	8	,	,	PUNCT
azojete-205	228	9	6(6	6(6	NUM
azojete-205	228	10	):	):	PUNCT
azojete-205	228	11	18–21	18–21	NUM
azojete-205	228	12	.	.	PUNCT
azojete-205	229	1	dhar	dhar	PROPN
azojete-205	229	2	,	,	PUNCT
azojete-205	229	3	v.	v.	PROPN
azojete-205	229	4	and	and	CCONJ
azojete-205	229	5	stein	stein	PROPN
azojete-205	229	6	r.	r.	PROPN
azojete-205	229	7	,	,	PUNCT
azojete-205	229	8	1996	1996	NUM
azojete-205	229	9	.	.	PUNCT
azojete-205	230	1	intelligent	intelligent	ADJ
azojete-205	230	2	decision	decision	NOUN
azojete-205	230	3	support	support	NOUN
azojete-205	230	4	methods	method	NOUN
azojete-205	230	5	:	:	PUNCT
azojete-205	230	6	the	the	DET
azojete-205	230	7	science	science	NOUN
azojete-205	230	8	of	of	ADP
azojete-205	230	9	knowledge	knowledge	NOUN
azojete-205	230	10	work	work	NOUN
azojete-205	230	11	,	,	PUNCT
azojete-205	230	12	prentice	prentice	NOUN
azojete-205	230	13	hall	hall	PROPN
azojete-205	230	14	business	business	NOUN
azojete-205	230	15	publishing	publishing	NOUN
azojete-205	230	16	.	.	PUNCT
azojete-205	231	1	upper	upper	ADJ
azojete-205	231	2	saddle	saddle	PROPN
azojete-205	231	3	river	river	NOUN
azojete-205	231	4	,	,	PUNCT
azojete-205	231	5	new	new	PROPN
azojete-205	231	6	jersey	jersey	PROPN
azojete-205	231	7	.	.	PUNCT
azojete-205	231	8	,	,	PUNCT
azojete-205	232	1	pp	pp	ADJ
azojete-205	232	2	.	.	PUNCT
azojete-205	233	1	11	11	NUM
azojete-205	233	2	-	-	SYM
azojete-205	233	3	94	94	NUM
azojete-205	233	4	.	.	PUNCT
azojete-205	234	1	fausett	fausett	NOUN
azojete-205	234	2	,	,	PUNCT
azojete-205	234	3	l.	l.	PROPN
azojete-205	234	4	and	and	CCONJ
azojete-205	234	5	elwasif	elwasif	NOUN
azojete-205	234	6	,	,	PUNCT
azojete-205	234	7	w.	w.	PROPN
azojete-205	234	8	1994	1994	NUM
azojete-205	234	9	.	.	PUNCT
azojete-205	235	1	predicting	predict	VERB
azojete-205	235	2	performance	performance	NOUN
azojete-205	235	3	from	from	ADP
azojete-205	235	4	test	test	NOUN
azojete-205	235	5	scores	score	NOUN
azojete-205	235	6	using	use	VERB
azojete-205	235	7	back	back	ADP
azojete-205	235	8	propagation	propagation	NOUN
azojete-205	235	9	and	and	CCONJ
azojete-205	235	10	counter	counter	NOUN
azojete-205	235	11	propagation	propagation	NOUN
azojete-205	235	12	.	.	PUNCT
azojete-205	236	1	proceeding	proceeding	NOUN
azojete-205	236	2	of	of	ADP
azojete-205	236	3	1994	1994	NUM
azojete-205	236	4	ieee	ieee	PROPN
azojete-205	236	5	international	international	ADJ
azojete-205	236	6	conference	conference	NOUN
azojete-205	236	7	on	on	ADP
azojete-205	236	8	neural	neural	ADJ
azojete-205	236	9	networks	network	NOUN
azojete-205	236	10	(	(	PUNCT
azojete-205	236	11	icnn’94	icnn’94	NOUN
azojete-205	236	12	)	)	PUNCT
azojete-205	236	13	,	,	PUNCT
azojete-205	236	14	5	5	NUM
azojete-205	236	15	:	:	SYM
azojete-205	236	16	3398–3402	3398–3402	NUM
azojete-205	236	17	.	.	PUNCT
azojete-205	236	18	gedeon	gedeon	NOUN
azojete-205	236	19	,	,	PUNCT
azojete-205	236	20	td	td	PROPN
azojete-205	236	21	.	.	PUNCT
azojete-205	236	22	and	and	CCONJ
azojete-205	236	23	turner	turner	PROPN
azojete-205	236	24	,	,	PUNCT
azojete-205	236	25	hs	hs	PROPN
azojete-205	236	26	.	.	PROPN
azojete-205	236	27	1993	1993	NUM
azojete-205	236	28	.	.	PUNCT
azojete-205	237	1	explaining	explain	VERB
azojete-205	237	2	student	student	NOUN
azojete-205	237	3	grades	grade	NOUN
azojete-205	237	4	predicted	predict	VERB
azojete-205	237	5	by	by	ADP
azojete-205	237	6	a	a	DET
azojete-205	237	7	neural	neural	ADJ
azojete-205	237	8	network	network	NOUN
azojete-205	237	9	.	.	PUNCT
azojete-205	238	1	in	in	ADP
azojete-205	238	2	proceeding	proceeding	NOUN
azojete-205	238	3	of	of	ADP
azojete-205	238	4	1993	1993	NUM
azojete-205	238	5	ieee	ieee	NOUN
azojete-205	238	6	international	international	ADJ
azojete-205	238	7	conference	conference	NOUN
azojete-205	238	8	on	on	ADP
azojete-205	238	9	neural	neural	ADJ
azojete-205	238	10	networks	network	NOUN
azojete-205	238	11	(	(	PUNCT
azojete-205	238	12	ijcnn-93	ijcnn-93	PROPN
azojete-205	238	13	-	-	PUNCT
azojete-205	238	14	nagoya	nagoya	PROPN
azojete-205	238	15	,	,	PUNCT
azojete-205	238	16	japan	japan	PROPN
azojete-205	238	17	)	)	PUNCT
azojete-205	238	18	,	,	PUNCT
azojete-205	238	19	1	1	NUM
azojete-205	238	20	:	:	PUNCT
azojete-205	238	21	609–612	609–612	NUM
azojete-205	238	22	.	.	PUNCT
azojete-205	238	23	jiawei	jiawei	PROPN
azojete-205	238	24	,	,	PUNCT
azojete-205	238	25	h.	h.	PROPN
azojete-205	238	26	and	and	CCONJ
azojete-205	238	27	kamber	kamber	PROPN
azojete-205	238	28	,	,	PUNCT
azojete-205	238	29	m.	m.	NOUN
azojete-205	238	30	2001	2001	NUM
azojete-205	238	31	.	.	PUNCT
azojete-205	239	1	data	datum	NOUN
azojete-205	239	2	mining	mining	NOUN
azojete-205	239	3	:	:	PUNCT
azojete-205	239	4	concepts	concept	NOUN
azojete-205	239	5	and	and	CCONJ
azojete-205	239	6	techniques	technique	NOUN
azojete-205	239	7	.	.	PUNCT
azojete-205	240	1	san	san	PROPN
azojete-205	240	2	francisco	francisco	PROPN
azojete-205	240	3	,	,	PUNCT
azojete-205	240	4	ca	ca	PROPN
azojete-205	240	5	,	,	PUNCT
azojete-205	240	6	ltd	ltd	PROPN
azojete-205	240	7	:	:	PUNCT
azojete-205	240	8	morgan	morgan	PROPN
azojete-205	240	9	kaufmann	kaufmann	PROPN
azojete-205	240	10	,	,	PUNCT
azojete-205	240	11	pp	pp	ADP
azojete-205	240	12	.	.	PUNCT
azojete-205	241	1	377–385	377–385	NUM
azojete-205	241	2	.	.	PUNCT
azojete-205	242	1	larose	larose	PROPN
azojete-205	242	2	,	,	PUNCT
azojete-205	242	3	dt	dt	PROPN
azojete-205	242	4	.	.	PROPN
azojete-205	242	5	2005	2005	NUM
azojete-205	242	6	.	.	PUNCT
azojete-205	243	1	discovering	discover	VERB
azojete-205	243	2	knowledge	knowledge	NOUN
azojete-205	243	3	in	in	ADP
azojete-205	243	4	data	datum	NOUN
azojete-205	243	5	:	:	PUNCT
azojete-205	243	6	an	an	DET
azojete-205	243	7	introduction	introduction	NOUN
azojete-205	243	8	to	to	ADP
azojete-205	243	9	data	datum	NOUN
azojete-205	243	10	mining	mining	NOUN
azojete-205	243	11	.	.	PUNCT
azojete-205	243	12	wileyinterscience	wileyinterscience	NOUN
azojete-205	243	13	.	.	PUNCT
azojete-205	244	1	,	,	PUNCT
azojete-205	244	2	pp	pp	PROPN
azojete-205	244	3	.	.	PUNCT
azojete-205	245	1	40	40	NUM
azojete-205	245	2	-	-	SYM
azojete-205	245	3	241	241	NUM
azojete-205	245	4	.	.	PUNCT
azojete-205	246	1	maimon	maimon	PROPN
azojete-205	246	2	,	,	PUNCT
azojete-205	246	3	o.	o.	PROPN
azojete-205	246	4	and	and	CCONJ
azojete-205	246	5	rokach	rokach	PROPN
azojete-205	246	6	,	,	PUNCT
azojete-205	246	7	l.	l.	PROPN
azojete-205	246	8	2010	2010	NUM
azojete-205	246	9	.	.	PUNCT
azojete-205	247	1	data	datum	NOUN
azojete-205	247	2	mining	mining	NOUN
azojete-205	247	3	and	and	CCONJ
azojete-205	247	4	knowledge	knowledge	NOUN
azojete-205	247	5	discovery	discovery	PROPN
azojete-205	247	6	handbook	handbook	NOUN
azojete-205	247	7	2nd	2nd	PROPN
azojete-205	247	8	ed	ed	PROPN
azojete-205	247	9	.	.	PUNCT
azojete-205	248	1	springer	springer	PROPN
azojete-205	248	2	new	new	PROPN
azojete-205	248	3	york	york	PROPN
azojete-205	248	4	dordrecht	dordrecht	PROPN
azojete-205	248	5	heidelberg	heidelberg	PROPN
azojete-205	248	6	london	london	PROPN
azojete-205	248	7	,	,	PUNCT
azojete-205	248	8	1	1	NUM
azojete-205	248	9	-	-	SYM
azojete-205	248	10	37	37	NUM
azojete-205	248	11	.	.	PUNCT
azojete-205	249	1	cilimkoviv	cilimkoviv	PROPN
azojete-205	249	2	,	,	PUNCT
azojete-205	249	3	m.	m.	NOUN
azojete-205	249	4	,	,	PUNCT
azojete-205	249	5	2015	2015	NUM
azojete-205	249	6	.	.	PUNCT
azojete-205	250	1	neural	neural	ADJ
azojete-205	250	2	network	network	NOUN
azojete-205	250	3	and	and	CCONJ
azojete-205	250	4	back	back	ADJ
azojete-205	250	5	propagation	propagation	NOUN
azojete-205	250	6	algorithm	algorithm	NOUN
azojete-205	250	7	,	,	PUNCT
azojete-205	250	8	institute	institute	NOUN
azojete-205	250	9	of	of	ADP
azojete-205	250	10	technology	technology	PROPN
azojete-205	250	11	blanchardstown	blanchardstown	NOUN
azojete-205	250	12	,	,	PUNCT
azojete-205	250	13	blanchardstown	blanchardstown	NOUN
azojete-205	250	14	road	road	NOUN
azojete-205	250	15	north	north	PROPN
azojete-205	250	16	,	,	PUNCT
azojete-205	250	17	dublin	dublin	PROPN
azojete-205	250	18	,	,	PUNCT
azojete-205	250	19	ireland	ireland	PROPN
azojete-205	250	20	.	.	PUNCT
azojete-205	251	1	1	1	NUM
azojete-205	251	2	-	-	SYM
azojete-205	251	3	13	13	NUM
azojete-205	251	4	.	.	PUNCT
azojete-205	251	5	oladokun	oladokun	NOUN
azojete-205	251	6	,	,	PUNCT
azojete-205	251	7	vo	vo	NOUN
azojete-205	251	8	.	.	PROPN
azojete-205	251	9	,	,	PUNCT
azojete-205	251	10	adebanjo	adebanjo	VERB
azojete-205	251	11	,	,	PUNCT
azojete-205	251	12	at	at	ADP
azojete-205	251	13	.	.	PUNCT
azojete-205	252	1	and	and	CCONJ
azojete-205	252	2	charles	charles	PROPN
azojete-205	252	3	,	,	PUNCT
azojete-205	252	4	b.	b.	PROPN
azojete-205	252	5	2008	2008	NUM
azojete-205	252	6	.	.	PUNCT
azojete-205	253	1	predicting	predict	VERB
azojete-205	253	2	student	student	NOUN
azojete-205	253	3	’s	’s	PART
azojete-205	253	4	academic	academic	ADJ
azojete-205	253	5	performance	performance	NOUN
azojete-205	253	6	using	use	VERB
azojete-205	253	7	artificial	artificial	ADJ
azojete-205	253	8	neural	neural	ADJ
azojete-205	253	9	network	network	NOUN
azojete-205	253	10	:	:	PUNCT
azojete-205	253	11	a	a	DET
azojete-205	253	12	case	case	NOUN
azojete-205	253	13	study	study	NOUN
azojete-205	253	14	of	of	ADP
azojete-205	253	15	an	an	DET
azojete-205	253	16	engineering	engineering	NOUN
azojete-205	253	17	course	course	NOUN
azojete-205	253	18	.	.	PUNCT
azojete-205	254	1	the	the	DET
azojete-205	254	2	pacific	pacific	PROPN
azojete-205	254	3	journal	journal	PROPN
azojete-205	254	4	of	of	ADP
azojete-205	254	5	science	science	NOUN
azojete-205	254	6	and	and	CCONJ
azojete-205	254	7	technology	technology	NOUN
azojete-205	254	8	,	,	PUNCT
azojete-205	254	9	9(1	9(1	NUM
azojete-205	254	10	):	):	PUNCT
azojete-205	254	11	72–79	72–79	ADV
azojete-205	254	12	.	.	PUNCT
azojete-205	255	1	şen	şen	PROPN
azojete-205	255	2	,	,	PUNCT
azojete-205	255	3	b.	b.	PROPN
azojete-205	255	4	,	,	PUNCT
azojete-205	255	5	uçar	uçar	PROPN
azojete-205	255	6	,	,	PUNCT
azojete-205	255	7	e.	e.	PROPN
azojete-205	255	8	and	and	CCONJ
azojete-205	255	9	delen	delen	PROPN
azojete-205	255	10	,	,	PUNCT
azojete-205	255	11	d.	d.	PROPN
azojete-205	255	12	2012	2012	NUM
azojete-205	255	13	.	.	PUNCT
azojete-205	256	1	predicting	predict	VERB
azojete-205	256	2	and	and	CCONJ
azojete-205	256	3	analyzing	analyze	VERB
azojete-205	256	4	secondary	secondary	ADJ
azojete-205	256	5	education	education	NOUN
azojete-205	256	6	placementtest	placementt	ADJ
azojete-205	256	7	scores	score	NOUN
azojete-205	256	8	:	:	PUNCT
azojete-205	256	9	a	a	DET
azojete-205	256	10	data	data	NOUN
azojete-205	256	11	mining	mining	NOUN
azojete-205	256	12	approach	approach	NOUN
azojete-205	256	13	.	.	PUNCT
azojete-205	257	1	expert	expert	NOUN
azojete-205	257	2	systems	system	NOUN
azojete-205	257	3	with	with	ADP
azojete-205	257	4	applications	application	NOUN
azojete-205	257	5	,	,	PUNCT
azojete-205	257	6	39	39	NUM
azojete-205	257	7	:	:	SYM
azojete-205	257	8	9468–9476	9468–9476	NUM
azojete-205	257	9	.	.	PUNCT
azojete-205	258	1	siemens	siemens	PROPN
azojete-205	258	2	,	,	PUNCT
azojete-205	258	3	g.	g.	PROPN
azojete-205	258	4	and	and	CCONJ
azojete-205	258	5	baker	baker	PROPN
azojete-205	258	6	,	,	PUNCT
azojete-205	258	7	rsjd	rsjd	NOUN
azojete-205	258	8	.	.	PUNCT
azojete-205	258	9	2012	2012	NUM
azojete-205	258	10	.	.	PUNCT
azojete-205	259	1	learning	learn	VERB
azojete-205	259	2	analytics	analytic	NOUN
azojete-205	259	3	and	and	CCONJ
azojete-205	259	4	educational	educational	ADJ
azojete-205	259	5	data	datum	NOUN
azojete-205	259	6	mining	mining	NOUN
azojete-205	259	7	:	:	PUNCT
azojete-205	259	8	towards	towards	ADP
azojete-205	259	9	communication	communication	NOUN
azojete-205	259	10	and	and	CCONJ
azojete-205	259	11	collaboration	collaboration	NOUN
azojete-205	259	12	.	.	PUNCT
azojete-205	260	1	lak’12	lak’12	NOUN
azojete-205	260	2	:	:	PUNCT
azojete-205	260	3	proceedings	proceeding	NOUN
azojete-205	260	4	of	of	ADP
azojete-205	260	5	the	the	DET
azojete-205	260	6	acm	acm	PROPN
azojete-205	260	7	2nd	2nd	PROPN
azojete-205	260	8	international	international	ADJ
azojete-205	260	9	conference	conference	NOUN
azojete-205	260	10	on	on	ADP
azojete-205	260	11	learning	learn	VERB
azojete-205	260	12	analytics	analytic	NOUN
azojete-205	260	13	and	and	CCONJ
azojete-205	260	14	knowledge	knowledge	NOUN
azojete-205	260	15	,	,	PUNCT
azojete-205	260	16	vancouver	vancouver	PROPN
azojete-205	260	17	,	,	PUNCT
azojete-205	260	18	bc	bc	PROPN
azojete-205	260	19	,	,	PUNCT
azojete-205	260	20	canada	canada	PROPN
azojete-205	260	21	.	.	PUNCT
azojete-205	261	1	252	252	NUM
azojete-205	261	2	-	-	SYM
azojete-205	261	3	254	254	NUM
azojete-205	261	4	.	.	PUNCT
azojete-205	261	5	sundar	sundar	NOUN
azojete-205	261	6	,	,	PUNCT
azojete-205	261	7	pp	pp	X
azojete-205	261	8	.	.	PUNCT
azojete-205	262	1	2013	2013	NUM
azojete-205	262	2	.	.	PUNCT
azojete-205	263	1	a	a	DET
azojete-205	263	2	comparative	comparative	ADJ
azojete-205	263	3	study	study	NOUN
azojete-205	263	4	for	for	ADP
azojete-205	263	5	predicting	predict	VERB
azojete-205	263	6	students	student	NOUN
azojete-205	263	7	academic	academic	ADJ
azojete-205	263	8	performance	performance	NOUN
azojete-205	263	9	using	use	VERB
azojete-205	263	10	bayesian	bayesian	NOUN
azojete-205	263	11	network	network	NOUN
azojete-205	263	12	classifiers	classifier	NOUN
azojete-205	263	13	.	.	PUNCT
azojete-205	264	1	iosr	iosr	ADJ
azojete-205	264	2	journal	journal	PROPN
azojete-205	264	3	of	of	ADP
azojete-205	264	4	engineering	engineering	NOUN
azojete-205	264	5	,	,	PUNCT
azojete-205	264	6	3(2	3(2	NUM
azojete-205	264	7	):	):	PUNCT
azojete-205	264	8	37–42	37–42	NUM
azojete-205	264	9	.	.	PUNCT
azojete-205	265	1	villanueva	villanueva	PROPN
azojete-205	265	2	,	,	PUNCT
azojete-205	265	3	a.	a.	PROPN
azojete-205	265	4	,	,	PUNCT
azojete-205	265	5	moreno	moreno	PROPN
azojete-205	265	6	,	,	PUNCT
azojete-205	265	7	lg	lg	PROPN
azojete-205	265	8	.	.	PROPN
azojete-205	265	9	and	and	CCONJ
azojete-205	265	10	salinas	salinas	PROPN
azojete-205	265	11	,	,	PUNCT
azojete-205	265	12	mj	mj	PROPN
azojete-205	265	13	.	.	PROPN
azojete-205	265	14	2018	2018	NUM
azojete-205	265	15	.	.	PUNCT
azojete-205	266	1	data	datum	NOUN
azojete-205	266	2	mining	mining	NOUN
azojete-205	266	3	techniques	technique	NOUN
azojete-205	266	4	applied	apply	VERB
azojete-205	266	5	in	in	ADP
azojete-205	266	6	educational	educational	ADJ
azojete-205	266	7	environments	environment	NOUN
azojete-205	266	8	:	:	PUNCT
azojete-205	266	9	literature	literature	PROPN
azojete-205	266	10	review	review	PROPN
azojete-205	266	11	.	.	PUNCT
azojete-205	267	1	digital	digital	ADJ
azojete-205	267	2	education	education	PROPN
azojete-205	267	3	review	review	NOUN
azojete-205	267	4	,	,	PUNCT
azojete-205	267	5	33	33	NUM
azojete-205	267	6	:	:	SYM
azojete-205	267	7	235	235	NUM
azojete-205	267	8	-	-	SYM
azojete-205	267	9	255	255	NUM
azojete-205	267	10	.	.	PUNCT
azojete-205	268	1	singh	singh	PROPN
azojete-205	268	2	,	,	PUNCT
azojete-205	268	3	y.	y.	PROPN
azojete-205	268	4	and	and	CCONJ
azojete-205	268	5	chauhan	chauhan	PROPN
azojete-205	268	6	,	,	PUNCT
azojete-205	268	7	a.s	a.s	PROPN
azojete-205	268	8	.	.	PROPN
azojete-205	268	9	,	,	PUNCT
azojete-205	268	10	2009	2009	NUM
azojete-205	268	11	.	.	PUNCT
azojete-205	269	1	neural	neural	ADJ
azojete-205	269	2	network	network	NOUN
azojete-205	269	3	in	in	ADP
azojete-205	269	4	data	datum	NOUN
azojete-205	269	5	mining	mining	NOUN
azojete-205	269	6	.	.	PUNCT
azojete-205	270	1	journal	journal	PROPN
azojete-205	270	2	of	of	ADP
azojete-205	270	3	theoretical	theoretical	ADJ
azojete-205	270	4	and	and	CCONJ
azojete-205	270	5	applied	apply	VERB
azojete-205	270	6	information	information	NOUN
azojete-205	270	7	technology	technology	NOUN
azojete-205	270	8	,	,	PUNCT
azojete-205	270	9	5(6	5(6	NUM
azojete-205	270	10	):	):	PUNCT
azojete-205	270	11	36	36	NUM
azojete-205	270	12	-	-	SYM
azojete-205	270	13	42	42	NUM
azojete-205	270	14	.	.	PUNCT
azojete-205	271	1	zurada	zurada	PROPN
azojete-205	271	2	,	,	PUNCT
azojete-205	271	3	jm	jm	PROPN
azojete-205	271	4	.	.	PROPN
azojete-205	271	5	1992	1992	NUM
azojete-205	271	6	.	.	PUNCT
azojete-205	272	1	introduction	introduction	NOUN
azojete-205	272	2	to	to	ADP
azojete-205	272	3	artificial	artificial	ADJ
azojete-205	272	4	neural	neural	ADJ
azojete-205	272	5	systems	system	NOUN
azojete-205	272	6	.	.	PUNCT
azojete-205	273	1	west	west	PROPN
azojete-205	273	2	publishing	publishing	PROPN
azojete-205	273	3	co.	co.	PROPN
azojete-205	273	4	,	,	PUNCT
azojete-205	273	5	st	st	PROPN
azojete-205	273	6	.	.	PROPN
azojete-205	273	7	paul	paul	PROPN
azojete-205	273	8	,	,	PUNCT
azojete-205	273	9	new	new	PROPN
azojete-205	273	10	york	york	PROPN
azojete-205	273	11	,	,	PUNCT
azojete-205	273	12	united	united	PROPN
azojete-205	273	13	states	states	PROPN
azojete-205	273	14	.	.	PUNCT
azojete-205	274	1	pp	pp	ADV
azojete-205	274	2	.	.	PUNCT
azojete-205	275	1	1	1	NUM
azojete-205	275	2	-	-	SYM
azojete-205	275	3	764	764	NUM
azojete-205	275	4	http://www.azojete.com.ng	http://www.azojete.com.ng	ADV