id	sid	tid	token	lemma	pos
archive-397	1	1	http://www.press.ierek.com	http://www.press.ierek.com	PROPN
archive-397	1	2	issn	issn	PROPN
archive-397	1	3	(	(	PUNCT
archive-397	1	4	print	print	NOUN
archive-397	1	5	:	:	PUNCT
archive-397	1	6	2537	2537	NUM
archive-397	1	7	-	-	SYM
archive-397	1	8	0154	0154	NUM
archive-397	1	9	,	,	PUNCT
archive-397	1	10	online	online	ADV
archive-397	1	11	:	:	PUNCT
archive-397	1	12	2537	2537	NUM
archive-397	1	13	-	-	SYM
archive-397	1	14	0162	0162	NUM
archive-397	1	15	)	)	PUNCT
archive-397	1	16	international	international	ADJ
archive-397	1	17	journal	journal	NOUN
archive-397	1	18	on	on	ADP
archive-397	1	19	:	:	PUNCT
archive-397	1	20	the	the	DET
archive-397	1	21	academic	academic	ADJ
archive-397	1	22	research	research	NOUN
archive-397	1	23	community	community	NOUN
archive-397	1	24	publication	publication	NOUN
archive-397	1	25	doi	doi	PROPN
archive-397	1	26	:	:	PUNCT
archive-397	1	27	10.21625	10.21625	NUM
archive-397	1	28	/	/	SYM
archive-397	2	1	archive.v2i4.397	archive.v2i4.397	ADP
archive-397	2	2	a	a	DET
archive-397	2	3	proposed	propose	VERB
archive-397	2	4	heuristic	heuristic	ADJ
archive-397	2	5	optimization	optimization	NOUN
archive-397	2	6	algorithm	algorithm	NOUN
archive-397	2	7	for	for	ADP
archive-397	2	8	detecting	detect	VERB
archive-397	2	9	network	network	NOUN
archive-397	2	10	attacks	attack	NOUN
archive-397	2	11	amr	amr	PROPN
archive-397	2	12	hassan	hassan	PROPN
archive-397	2	13	yassin1	yassin1	PROPN
archive-397	2	14	,	,	PUNCT
archive-397	2	15	hany	hany	PROPN
archive-397	2	16	hamdy	hamdy	PROPN
archive-397	2	17	hussien2	hussien2	PROPN
archive-397	2	18	11lecturer	11lecturer	NUM
archive-397	2	19	,	,	PUNCT
archive-397	2	20	electronics	electronic	NOUN
archive-397	2	21	&	&	CCONJ
archive-397	2	22	communication	communication	NOUN
archive-397	2	23	,	,	PUNCT
archive-397	2	24	engineering	engineering	NOUN
archive-397	2	25	department	department	PROPN
archive-397	2	26	,	,	PUNCT
archive-397	2	27	alexandria	alexandria	PROPN
archive-397	3	1	higher	high	ADJ
archive-397	3	2	institute	institute	PROPN
archive-397	3	3	of	of	ADP
archive-397	3	4	engineering	engineering	NOUN
archive-397	3	5	and	and	CCONJ
archive-397	3	6	technology	technology	NOUN
archive-397	3	7	2lecturer	2lecturer	NUM
archive-397	3	8	,	,	PUNCT
archive-397	3	9	higher	high	ADJ
archive-397	3	10	institute	institute	PROPN
archive-397	3	11	of	of	ADP
archive-397	3	12	management	management	NOUN
archive-397	3	13	science	science	NOUN
archive-397	3	14	and	and	CCONJ
archive-397	3	15	advanced	advanced	ADJ
archive-397	3	16	computing	computing	NOUN
archive-397	3	17	,	,	PUNCT
archive-397	3	18	el	el	PROPN
archive-397	3	19	-	-	PUNCT
archive-397	3	20	beheira	beheira	PROPN
archive-397	3	21	,	,	PUNCT
archive-397	3	22	egypt	egypt	PROPN
archive-397	3	23	.	.	PUNCT
archive-397	4	1	abstract	abstract	ADJ
archive-397	4	2	due	due	ADP
archive-397	4	3	to	to	ADP
archive-397	4	4	the	the	DET
archive-397	4	5	exponential	exponential	ADJ
archive-397	4	6	growth	growth	NOUN
archive-397	4	7	of	of	ADP
archive-397	4	8	e	e	NOUN
archive-397	4	9	-	-	NOUN
archive-397	4	10	business	business	NOUN
archive-397	4	11	and	and	CCONJ
archive-397	4	12	computing	compute	VERB
archive-397	4	13	capabilities	capability	NOUN
archive-397	4	14	over	over	ADP
archive-397	4	15	the	the	DET
archive-397	4	16	web	web	NOUN
archive-397	4	17	for	for	ADP
archive-397	4	18	a	a	DET
archive-397	4	19	pay	pay	VERB
archive-397	4	20	-	-	PUNCT
archive-397	4	21	for	for	ADP
archive-397	4	22	-	-	PUNCT
archive-397	4	23	use	use	NOUN
archive-397	4	24	groundwork	groundwork	NOUN
archive-397	4	25	,	,	PUNCT
archive-397	4	26	the	the	DET
archive-397	4	27	risk	risk	NOUN
archive-397	4	28	factors	factor	NOUN
archive-397	4	29	regarding	regard	VERB
archive-397	4	30	security	security	NOUN
archive-397	4	31	issues	issue	NOUN
archive-397	4	32	also	also	ADV
archive-397	4	33	increase	increase	VERB
archive-397	4	34	rapidly	rapidly	ADV
archive-397	4	35	.	.	PUNCT
archive-397	5	1	as	as	ADP
archive-397	5	2	the	the	DET
archive-397	5	3	usage	usage	NOUN
archive-397	5	4	increases	increase	NOUN
archive-397	5	5	,	,	PUNCT
archive-397	5	6	it	it	PRON
archive-397	5	7	becomes	become	VERB
archive-397	5	8	very	very	ADV
archive-397	5	9	difficult	difficult	ADJ
archive-397	5	10	to	to	PART
archive-397	5	11	identify	identify	VERB
archive-397	5	12	malicious	malicious	ADJ
archive-397	5	13	attacks	attack	NOUN
archive-397	5	14	since	since	SCONJ
archive-397	5	15	the	the	DET
archive-397	5	16	attack	attack	NOUN
archive-397	5	17	patterns	pattern	NOUN
archive-397	5	18	change	change	VERB
archive-397	5	19	.	.	PUNCT
archive-397	6	1	therefore	therefore	ADV
archive-397	6	2	,	,	PUNCT
archive-397	6	3	host	host	NOUN
archive-397	6	4	machines	machine	NOUN
archive-397	6	5	in	in	ADP
archive-397	6	6	the	the	DET
archive-397	6	7	network	network	NOUN
archive-397	6	8	must	must	AUX
archive-397	6	9	continually	continually	ADV
archive-397	6	10	be	be	AUX
archive-397	6	11	monitored	monitor	VERB
archive-397	6	12	for	for	ADP
archive-397	6	13	intrusions	intrusion	NOUN
archive-397	6	14	since	since	SCONJ
archive-397	6	15	they	they	PRON
archive-397	6	16	are	be	AUX
archive-397	6	17	the	the	DET
archive-397	6	18	final	final	ADJ
archive-397	6	19	endpoint	endpoint	NOUN
archive-397	6	20	of	of	ADP
archive-397	6	21	any	any	DET
archive-397	6	22	network	network	NOUN
archive-397	6	23	.	.	PUNCT
archive-397	7	1	the	the	DET
archive-397	7	2	purpose	purpose	NOUN
archive-397	7	3	of	of	ADP
archive-397	7	4	this	this	DET
archive-397	7	5	work	work	NOUN
archive-397	7	6	is	be	AUX
archive-397	7	7	to	to	PART
archive-397	7	8	introduce	introduce	VERB
archive-397	7	9	a	a	DET
archive-397	7	10	generalized	generalized	ADJ
archive-397	7	11	neural	neural	ADJ
archive-397	7	12	network	network	NOUN
archive-397	7	13	model	model	NOUN
archive-397	7	14	that	that	PRON
archive-397	7	15	has	have	VERB
archive-397	7	16	the	the	DET
archive-397	7	17	ability	ability	NOUN
archive-397	7	18	to	to	PART
archive-397	7	19	detect	detect	VERB
archive-397	7	20	network	network	NOUN
archive-397	7	21	intrusions	intrusion	NOUN
archive-397	7	22	.	.	PUNCT
archive-397	8	1	two	two	NUM
archive-397	8	2	recent	recent	ADJ
archive-397	8	3	heuristic	heuristic	ADJ
archive-397	8	4	algorithms	algorithm	NOUN
archive-397	8	5	inspired	inspire	VERB
archive-397	8	6	by	by	ADP
archive-397	8	7	the	the	DET
archive-397	8	8	behavior	behavior	NOUN
archive-397	8	9	of	of	ADP
archive-397	8	10	natural	natural	ADJ
archive-397	8	11	phenomena	phenomenon	NOUN
archive-397	8	12	,	,	PUNCT
archive-397	8	13	namely	namely	ADV
archive-397	8	14	,	,	PUNCT
archive-397	8	15	the	the	DET
archive-397	8	16	particle	particle	NOUN
archive-397	8	17	swarm	swarm	NOUN
archive-397	8	18	optimization	optimization	NOUN
archive-397	8	19	(	(	PUNCT
archive-397	8	20	pso	pso	NOUN
archive-397	8	21	)	)	PUNCT
archive-397	8	22	and	and	CCONJ
archive-397	8	23	gravitational	gravitational	ADJ
archive-397	8	24	search	search	NOUN
archive-397	8	25	(	(	PUNCT
archive-397	8	26	gsa	gsa	PROPN
archive-397	8	27	)	)	PUNCT
archive-397	8	28	algorithms	algorithm	NOUN
archive-397	8	29	are	be	AUX
archive-397	8	30	introduced	introduce	VERB
archive-397	8	31	.	.	PUNCT
archive-397	9	1	these	these	DET
archive-397	9	2	algorithms	algorithm	NOUN
archive-397	9	3	are	be	AUX
archive-397	9	4	combined	combine	VERB
archive-397	9	5	together	together	ADV
archive-397	9	6	to	to	PART
archive-397	9	7	train	train	VERB
archive-397	9	8	a	a	DET
archive-397	9	9	feed	feed	NOUN
archive-397	9	10	forward	forward	ADV
archive-397	9	11	neural	neural	ADJ
archive-397	9	12	network	network	NOUN
archive-397	9	13	(	(	PUNCT
archive-397	9	14	fnn	fnn	PROPN
archive-397	9	15	)	)	PUNCT
archive-397	9	16	for	for	ADP
archive-397	9	17	the	the	DET
archive-397	9	18	purpose	purpose	NOUN
archive-397	9	19	of	of	ADP
archive-397	9	20	utilizing	utilize	VERB
archive-397	9	21	the	the	DET
archive-397	9	22	effectiveness	effectiveness	NOUN
archive-397	9	23	of	of	ADP
archive-397	9	24	these	these	DET
archive-397	9	25	algorithms	algorithm	NOUN
archive-397	9	26	to	to	PART
archive-397	9	27	reduce	reduce	VERB
archive-397	9	28	the	the	DET
archive-397	9	29	problems	problem	NOUN
archive-397	9	30	of	of	ADP
archive-397	9	31	getting	getting	AUX
archive-397	9	32	stuck	stick	VERB
archive-397	9	33	in	in	ADP
archive-397	9	34	local	local	ADJ
archive-397	9	35	minima	minima	NOUN
archive-397	9	36	and	and	CCONJ
archive-397	9	37	the	the	DET
archive-397	9	38	time	time	NOUN
archive-397	9	39	-	-	PUNCT
archive-397	9	40	consuming	consume	VERB
archive-397	9	41	convergence	convergence	NOUN
archive-397	9	42	rate	rate	NOUN
archive-397	9	43	.	.	PUNCT
archive-397	10	1	dimension	dimension	NOUN
archive-397	10	2	reduction	reduction	NOUN
archive-397	10	3	focuses	focus	VERB
archive-397	10	4	on	on	ADP
archive-397	10	5	using	use	VERB
archive-397	10	6	information	information	NOUN
archive-397	10	7	obtained	obtain	VERB
archive-397	10	8	from	from	ADP
archive-397	10	9	nsl	nsl	NOUN
archive-397	10	10	-	-	PUNCT
archive-397	10	11	kdd	kdd	PROPN
archive-397	10	12	cup	cup	PROPN
archive-397	10	13	99	99	NUM
archive-397	10	14	data	datum	NOUN
archive-397	10	15	set	set	VERB
archive-397	10	16	for	for	ADP
archive-397	10	17	the	the	DET
archive-397	10	18	selection	selection	NOUN
archive-397	10	19	of	of	ADP
archive-397	10	20	some	some	DET
archive-397	10	21	features	feature	NOUN
archive-397	10	22	to	to	PART
archive-397	10	23	discover	discover	VERB
archive-397	10	24	the	the	DET
archive-397	10	25	type	type	NOUN
archive-397	10	26	of	of	ADP
archive-397	10	27	attacks	attack	NOUN
archive-397	10	28	.	.	PUNCT
archive-397	11	1	detecting	detect	VERB
archive-397	11	2	the	the	DET
archive-397	11	3	network	network	NOUN
archive-397	11	4	attacks	attack	NOUN
archive-397	11	5	and	and	CCONJ
archive-397	11	6	the	the	DET
archive-397	11	7	performance	performance	NOUN
archive-397	11	8	of	of	ADP
archive-397	11	9	the	the	DET
archive-397	11	10	proposed	propose	VERB
archive-397	11	11	model	model	NOUN
archive-397	11	12	are	be	AUX
archive-397	11	13	evaluated	evaluate	VERB
archive-397	11	14	under	under	ADP
archive-397	11	15	different	different	ADJ
archive-397	11	16	patterns	pattern	NOUN
archive-397	11	17	of	of	ADP
archive-397	11	18	network	network	NOUN
archive-397	11	19	data	datum	NOUN
archive-397	11	20	.	.	PUNCT
archive-397	12	1	©	©	ADP
archive-397	12	2	2019	2019	NUM
archive-397	12	3	the	the	DET
archive-397	12	4	authors	author	NOUN
archive-397	12	5	.	.	PUNCT
archive-397	13	1	published	publish	VERB
archive-397	13	2	by	by	ADP
archive-397	13	3	ierek	ierek	PROPN
archive-397	13	4	press	press	NOUN
archive-397	13	5	.	.	PUNCT
archive-397	14	1	this	this	PRON
archive-397	14	2	is	be	AUX
archive-397	14	3	an	an	DET
archive-397	14	4	open	open	ADJ
archive-397	14	5	access	access	NOUN
archive-397	14	6	article	article	NOUN
archive-397	14	7	under	under	ADP
archive-397	14	8	the	the	DET
archive-397	14	9	cc	cc	NOUN
archive-397	14	10	by	by	ADP
archive-397	14	11	license	license	NOUN
archive-397	14	12	(	(	PUNCT
archive-397	14	13	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
archive-397	14	14	)	)	PUNCT
archive-397	14	15	.	.	PUNCT
archive-397	15	1	1	1	X
archive-397	15	2	.	.	X
archive-397	15	3	introduction	introduction	NOUN
archive-397	15	4	the	the	DET
archive-397	15	5	field	field	NOUN
archive-397	15	6	of	of	ADP
archive-397	15	7	computer	computer	NOUN
archive-397	15	8	security	security	NOUN
archive-397	15	9	has	have	AUX
archive-397	15	10	turned	turn	VERB
archive-397	15	11	into	into	ADP
archive-397	15	12	an	an	DET
archive-397	15	13	extremely	extremely	ADV
archive-397	15	14	important	important	ADJ
archive-397	15	15	issue	issue	NOUN
archive-397	15	16	for	for	ADP
archive-397	15	17	computer	computer	NOUN
archive-397	15	18	network	network	NOUN
archive-397	15	19	systems	system	NOUN
archive-397	15	20	through	through	ADP
archive-397	15	21	the	the	DET
archive-397	15	22	fast	fast	ADJ
archive-397	15	23	growing	growing	NOUN
archive-397	15	24	of	of	ADP
archive-397	15	25	the	the	DET
archive-397	15	26	computer	computer	NOUN
archive-397	15	27	networks	network	NOUN
archive-397	15	28	over	over	ADP
archive-397	15	29	the	the	DET
archive-397	15	30	web	web	NOUN
archive-397	15	31	which	which	PRON
archive-397	15	32	might	might	AUX
archive-397	15	33	be	be	AUX
archive-397	15	34	under	under	ADP
archive-397	15	35	risk	risk	NOUN
archive-397	15	36	for	for	ADP
archive-397	15	37	unauthorized	unauthorized	ADJ
archive-397	15	38	and	and	CCONJ
archive-397	15	39	intrusion	intrusion	NOUN
archive-397	15	40	process	process	NOUN
archive-397	15	41	.	.	PUNCT
archive-397	16	1	intrusion	intrusion	NOUN
archive-397	16	2	detection	detection	NOUN
archive-397	16	3	is	be	AUX
archive-397	16	4	the	the	DET
archive-397	16	5	procedure	procedure	NOUN
archive-397	16	6	to	to	PART
archive-397	16	7	perceive	perceive	VERB
archive-397	16	8	all	all	DET
archive-397	16	9	security	security	NOUN
archive-397	16	10	issues	issue	NOUN
archive-397	16	11	through	through	ADP
archive-397	16	12	watching	watch	VERB
archive-397	16	13	and	and	CCONJ
archive-397	16	14	breaking	break	VERB
archive-397	16	15	down	down	ADP
archive-397	16	16	the	the	DET
archive-397	16	17	occasions	occasion	NOUN
archive-397	16	18	emerging	emerge	VERB
archive-397	16	19	in	in	ADP
archive-397	16	20	a	a	DET
archive-397	16	21	pc	pc	NOUN
archive-397	16	22	or	or	CCONJ
archive-397	16	23	system	system	NOUN
archive-397	16	24	framework	framework	NOUN
archive-397	16	25	and	and	CCONJ
archive-397	16	26	can	can	AUX
archive-397	16	27	give	give	VERB
archive-397	16	28	a	a	DET
archive-397	16	29	react	react	NOUN
archive-397	16	30	to	to	ADP
archive-397	16	31	the	the	DET
archive-397	16	32	unapproved	unapproved	ADJ
archive-397	16	33	activities	activity	NOUN
archive-397	16	34	(	(	PUNCT
archive-397	16	35	yu	yu	PROPN
archive-397	16	36	,	,	PUNCT
archive-397	16	37	wang	wang	PROPN
archive-397	16	38	,	,	PUNCT
archive-397	16	39	&	&	CCONJ
archive-397	16	40	xi	xi	PROPN
archive-397	16	41	,	,	PUNCT
archive-397	16	42	2008	2008	NUM
archive-397	16	43	)	)	PUNCT
archive-397	16	44	.	.	PUNCT
archive-397	17	1	securing	secure	VERB
archive-397	17	2	networks	network	NOUN
archive-397	17	3	from	from	ADP
archive-397	17	4	interruptions	interruption	NOUN
archive-397	17	5	or	or	CCONJ
archive-397	17	6	assaults	assault	NOUN
archive-397	17	7	is	be	AUX
archive-397	17	8	turning	turn	VERB
archive-397	17	9	out	out	ADP
archive-397	17	10	to	to	PART
archive-397	17	11	be	be	AUX
archive-397	17	12	more	more	ADV
archive-397	17	13	troublesome	troublesome	ADJ
archive-397	17	14	as	as	SCONJ
archive-397	17	15	the	the	DET
archive-397	17	16	system	system	NOUN
archive-397	17	17	innovations	innovation	NOUN
archive-397	17	18	are	be	AUX
archive-397	17	19	expanding	expand	VERB
archive-397	17	20	rapidly	rapidly	ADV
archive-397	17	21	.	.	PUNCT
archive-397	18	1	the	the	DET
archive-397	18	2	quantity	quantity	NOUN
archive-397	18	3	of	of	ADP
archive-397	18	4	distributed	distribute	VERB
archive-397	18	5	denial	denial	NOUN
archive-397	18	6	of	of	ADP
archive-397	18	7	service	service	NOUN
archive-397	18	8	(	(	PUNCT
archive-397	18	9	ddos	ddo	NOUN
archive-397	18	10	)	)	PUNCT
archive-397	18	11	attacks	attack	NOUN
archive-397	18	12	has	have	AUX
archive-397	18	13	expanded	expand	VERB
archive-397	18	14	by	by	ADP
archive-397	18	15	90	90	NUM
archive-397	18	16	%	%	NOUN
archive-397	18	17	,	,	PUNCT
archive-397	18	18	while	while	SCONJ
archive-397	18	19	the	the	DET
archive-397	18	20	normal	normal	ADJ
archive-397	18	21	attacks	attack	NOUN
archive-397	18	22	span	span	VERB
archive-397	18	23	expanded	expand	VERB
archive-397	18	24	by	by	ADP
archive-397	18	25	28	28	NUM
archive-397	18	26	%	%	NOUN
archive-397	18	27	(	(	PUNCT
archive-397	18	28	wahba	wahba	ADJ
archive-397	18	29	,	,	PUNCT
archive-397	18	30	el	el	PROPN
archive-397	18	31	salamouny	salamouny	PROPN
archive-397	18	32	,	,	PUNCT
archive-397	18	33	&	&	CCONJ
archive-397	18	34	el	el	PROPN
archive-397	18	35	taweel	taweel	PROPN
archive-397	18	36	,	,	PUNCT
archive-397	18	37	2015).associations	2015).association	NOUN
archive-397	18	38	frequently	frequently	ADV
archive-397	18	39	convey	convey	VERB
archive-397	18	40	a	a	DET
archive-397	18	41	firewall	firewall	NOUN
archive-397	18	42	as	as	ADP
archive-397	18	43	a	a	DET
archive-397	18	44	first	first	ADJ
archive-397	18	45	line	line	NOUN
archive-397	18	46	of	of	ADP
archive-397	18	47	resistance	resistance	NOUN
archive-397	18	48	keeping	keeping	NOUN
archive-397	18	49	in	in	ADP
archive-397	18	50	mind	mind	NOUN
archive-397	18	51	the	the	DET
archive-397	18	52	end	end	NOUN
archive-397	18	53	goal	goal	NOUN
archive-397	18	54	to	to	PART
archive-397	18	55	shield	shield	VERB
archive-397	18	56	their	their	PRON
archive-397	18	57	private	private	ADJ
archive-397	18	58	system	system	NOUN
archive-397	18	59	from	from	ADP
archive-397	18	60	malicious	malicious	ADJ
archive-397	18	61	attacks	attack	NOUN
archive-397	18	62	,	,	PUNCT
archive-397	18	63	however	however	ADV
archive-397	18	64	there	there	PRON
archive-397	18	65	are	be	VERB
archive-397	18	66	a	a	DET
archive-397	18	67	few	few	ADJ
archive-397	18	68	approaches	approach	NOUN
archive-397	18	69	to	to	PART
archive-397	18	70	sidestep	sidestep	VERB
archive-397	18	71	the	the	DET
archive-397	18	72	firewall	firewall	NOUN
archive-397	18	73	which	which	PRON
archive-397	18	74	makes	make	VERB
archive-397	18	75	intrusion	intrusion	NOUN
archive-397	18	76	detection	detection	NOUN
archive-397	18	77	framework	framework	NOUN
archive-397	18	78	a	a	DET
archive-397	18	79	moment	moment	NOUN
archive-397	18	80	line	line	NOUN
archive-397	18	81	of	of	ADP
archive-397	18	82	barrier	barrier	NOUN
archive-397	18	83	and	and	CCONJ
archive-397	18	84	an	an	DET
archive-397	18	85	approach	approach	NOUN
archive-397	18	86	to	to	PART
archive-397	18	87	screen	screen	VERB
archive-397	18	88	the	the	DET
archive-397	18	89	system	system	NOUN
archive-397	18	90	activity	activity	NOUN
archive-397	18	91	for	for	ADP
archive-397	18	92	any	any	DET
archive-397	18	93	conceivable	conceivable	ADJ
archive-397	18	94	danger	danger	NOUN
archive-397	18	95	or	or	CCONJ
archive-397	18	96	unlawful	unlawful	ADJ
archive-397	18	97	activity	activity	NOUN
archive-397	18	98	.	.	PUNCT
archive-397	19	1	the	the	DET
archive-397	19	2	performance	performance	NOUN
archive-397	19	3	of	of	ADP
archive-397	19	4	intrusion	intrusion	NOUN
archive-397	19	5	detection	detection	NOUN
archive-397	19	6	system	system	NOUN
archive-397	19	7	(	(	PUNCT
archive-397	19	8	ids	id	NOUN
archive-397	19	9	)	)	PUNCT
archive-397	19	10	can	can	AUX
archive-397	19	11	be	be	AUX
archive-397	19	12	improved	improve	VERB
archive-397	19	13	by	by	ADP
archive-397	19	14	using	use	VERB
archive-397	19	15	the	the	DET
archive-397	19	16	feature	feature	NOUN
archive-397	19	17	selection	selection	NOUN
archive-397	19	18	methods	method	NOUN
archive-397	19	19	,	,	PUNCT
archive-397	19	20	pg	pg	INTJ
archive-397	19	21	.	.	PUNCT
archive-397	20	1	481	481	NUM
archive-397	20	2	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
archive-397	20	3	yassin	yassin	PROPN
archive-397	20	4	/	/	PUNCT
archive-397	20	5	the	the	DET
archive-397	20	6	academic	academic	ADJ
archive-397	20	7	research	research	NOUN
archive-397	20	8	community	community	NOUN
archive-397	20	9	publication	publication	NOUN
archive-397	20	10	which	which	PRON
archive-397	20	11	become	become	VERB
archive-397	20	12	essential	essential	ADJ
archive-397	20	13	step	step	NOUN
archive-397	20	14	through	through	ADP
archive-397	20	15	reducing	reduce	VERB
archive-397	20	16	the	the	DET
archive-397	20	17	list	list	NOUN
archive-397	20	18	of	of	ADP
archive-397	20	19	features	feature	NOUN
archive-397	20	20	.	.	PUNCT
archive-397	21	1	feature	feature	NOUN
archive-397	21	2	selection	selection	NOUN
archive-397	21	3	can	can	AUX
archive-397	21	4	effect	effect	VERB
archive-397	21	5	on	on	ADP
archive-397	21	6	the	the	DET
archive-397	21	7	most	most	ADJ
archive-397	21	8	classification	classification	NOUN
archive-397	21	9	algorithms	algorithm	NOUN
archive-397	21	10	by	by	ADP
archive-397	21	11	reducing	reduce	VERB
archive-397	21	12	the	the	DET
archive-397	21	13	learning	learning	NOUN
archive-397	21	14	time	time	NOUN
archive-397	21	15	,	,	PUNCT
archive-397	21	16	and	and	CCONJ
archive-397	21	17	improving	improve	VERB
archive-397	21	18	the	the	DET
archive-397	21	19	prescient	prescient	ADJ
archive-397	21	20	accuracy	accuracy	NOUN
archive-397	21	21	result	result	NOUN
archive-397	21	22	(	(	PUNCT
archive-397	21	23	wahba	wahba	ADJ
archive-397	21	24	,	,	PUNCT
archive-397	21	25	el	el	PROPN
archive-397	21	26	salamouny	salamouny	PROPN
archive-397	21	27	,	,	PUNCT
archive-397	21	28	&	&	CCONJ
archive-397	21	29	el	el	PROPN
archive-397	21	30	taweel	taweel	PROPN
archive-397	21	31	,	,	PUNCT
archive-397	21	32	2015	2015	NUM
archive-397	21	33	)	)	PUNCT
archive-397	21	34	.	.	PUNCT
archive-397	22	1	the	the	DET
archive-397	22	2	remainder	remainder	NOUN
archive-397	22	3	of	of	ADP
archive-397	22	4	this	this	DET
archive-397	22	5	work	work	NOUN
archive-397	22	6	is	be	AUX
archive-397	22	7	structured	structure	VERB
archive-397	22	8	as	as	SCONJ
archive-397	22	9	follows	follow	VERB
archive-397	22	10	.	.	PUNCT
archive-397	23	1	part	part	NOUN
archive-397	23	2	2	2	NUM
archive-397	23	3	surveys	survey	NOUN
archive-397	23	4	previous	previous	ADJ
archive-397	23	5	work	work	NOUN
archive-397	23	6	about	about	ADP
archive-397	23	7	intrusion	intrusion	NOUN
archive-397	23	8	detection	detection	NOUN
archive-397	23	9	methods	method	NOUN
archive-397	23	10	.	.	PUNCT
archive-397	24	1	part	part	NOUN
archive-397	24	2	3	3	NUM
archive-397	24	3	describes	describe	VERB
archive-397	24	4	the	the	DET
archive-397	24	5	nsl	nsl	NOUN
archive-397	24	6	-	-	PUNCT
archive-397	24	7	kdd	kdd	PROPN
archive-397	24	8	dataset	dataset	NOUN
archive-397	24	9	.	.	PUNCT
archive-397	25	1	part	part	NOUN
archive-397	25	2	4	4	NUM
archive-397	25	3	summaries	summary	NOUN
archive-397	25	4	the	the	DET
archive-397	25	5	feature	feature	NOUN
archive-397	25	6	selection	selection	NOUN
archive-397	25	7	methods	method	NOUN
archive-397	25	8	.	.	PUNCT
archive-397	26	1	the	the	DET
archive-397	26	2	classification	classification	NOUN
archive-397	26	3	phase	phase	NOUN
archive-397	26	4	is	be	AUX
archive-397	26	5	described	describe	VERB
archive-397	26	6	in	in	ADP
archive-397	26	7	part	part	NOUN
archive-397	26	8	5	5	NUM
archive-397	26	9	.	.	PUNCT
archive-397	27	1	the	the	DET
archive-397	27	2	introduced	introduce	VERB
archive-397	27	3	algorithm	algorithm	NOUN
archive-397	27	4	for	for	ADP
archive-397	27	5	ids	id	NOUN
archive-397	27	6	is	be	AUX
archive-397	27	7	presented	present	VERB
archive-397	27	8	in	in	ADP
archive-397	27	9	part	part	NOUN
archive-397	27	10	6	6	NUM
archive-397	27	11	.	.	PUNCT
archive-397	27	12	part	part	NOUN
archive-397	27	13	7	7	NUM
archive-397	27	14	reports	report	VERB
archive-397	27	15	the	the	DET
archive-397	27	16	experimental	experimental	ADJ
archive-397	27	17	results	result	NOUN
archive-397	27	18	and	and	CCONJ
archive-397	27	19	finally	finally	ADV
archive-397	27	20	the	the	DET
archive-397	27	21	conclusion	conclusion	NOUN
archive-397	27	22	is	be	AUX
archive-397	27	23	presented	present	VERB
archive-397	27	24	in	in	ADP
archive-397	27	25	the	the	DET
archive-397	27	26	last	last	ADJ
archive-397	27	27	section	section	NOUN
archive-397	27	28	.	.	PUNCT
archive-397	28	1	2	2	X
archive-397	28	2	.	.	X
archive-397	28	3	related	relate	VERB
archive-397	28	4	work	work	NOUN
archive-397	28	5	classification	classification	NOUN
archive-397	28	6	,	,	PUNCT
archive-397	28	7	clustering	clustering	NOUN
archive-397	28	8	and	and	CCONJ
archive-397	28	9	regression	regression	NOUN
archive-397	28	10	techniques	technique	NOUN
archive-397	28	11	have	have	AUX
archive-397	28	12	been	be	AUX
archive-397	28	13	used	use	VERB
archive-397	28	14	for	for	ADP
archive-397	28	15	intrusion	intrusion	NOUN
archive-397	28	16	detection	detection	NOUN
archive-397	28	17	systems	system	NOUN
archive-397	28	18	.	.	PUNCT
archive-397	29	1	several	several	ADJ
archive-397	29	2	classification	classification	NOUN
archive-397	29	3	and	and	CCONJ
archive-397	29	4	clustering	clustering	NOUN
archive-397	29	5	-	-	PUNCT
archive-397	29	6	based	base	VERB
archive-397	29	7	techniques	technique	NOUN
archive-397	29	8	have	have	AUX
archive-397	29	9	been	be	AUX
archive-397	29	10	studied	study	VERB
archive-397	29	11	for	for	ADP
archive-397	29	12	the	the	DET
archive-397	29	13	design	design	NOUN
archive-397	29	14	of	of	ADP
archive-397	29	15	intrusion	intrusion	NOUN
archive-397	29	16	detection	detection	NOUN
archive-397	29	17	system	system	NOUN
archive-397	29	18	(	(	PUNCT
archive-397	29	19	ids	id	NOUN
archive-397	29	20	)	)	PUNCT
archive-397	29	21	.	.	PUNCT
archive-397	30	1	a	a	DET
archive-397	30	2	multilayer	multilayer	ADJ
archive-397	30	3	perceptron	perceptron	PROPN
archive-397	30	4	(	(	PUNCT
archive-397	30	5	mlp	mlp	PROPN
archive-397	30	6	)	)	PUNCT
archive-397	30	7	and	and	CCONJ
archive-397	30	8	support	support	NOUN
archive-397	30	9	vector	vector	NOUN
archive-397	30	10	machine	machine	NOUN
archive-397	30	11	was	be	AUX
archive-397	30	12	used	use	VERB
archive-397	30	13	in	in	ADP
archive-397	30	14	(	(	PUNCT
archive-397	30	15	tang	tang	PROPN
archive-397	30	16	&	&	CCONJ
archive-397	30	17	cao	cao	PROPN
archive-397	30	18	,	,	PUNCT
archive-397	30	19	2009	2009	NUM
archive-397	30	20	)	)	PUNCT
archive-397	30	21	as	as	ADP
archive-397	30	22	different	different	ADJ
archive-397	30	23	approach	approach	NOUN
archive-397	30	24	for	for	ADP
archive-397	30	25	intrusion	intrusion	NOUN
archive-397	30	26	detection	detection	NOUN
archive-397	30	27	.	.	PUNCT
archive-397	31	1	the	the	DET
archive-397	31	2	average	average	ADJ
archive-397	31	3	detection	detection	NOUN
archive-397	31	4	rate	rate	NOUN
archive-397	31	5	for	for	ADP
archive-397	31	6	various	various	ADJ
archive-397	31	7	attacks	attack	NOUN
archive-397	31	8	obtain	obtain	VERB
archive-397	31	9	that	that	SCONJ
archive-397	31	10	the	the	DET
archive-397	31	11	svm	svm	NOUN
archive-397	31	12	is	be	AUX
archive-397	31	13	better	well	ADJ
archive-397	31	14	than	than	ADP
archive-397	31	15	nn	nn	PROPN
archive-397	31	16	.	.	PROPN
archive-397	32	1	they	they	PRON
archive-397	32	2	used	use	VERB
archive-397	32	3	kdd	kdd	PROPN
archive-397	32	4	cup’99	cup’99	PROPN
archive-397	32	5	data	datum	NOUN
archive-397	32	6	set	set	VERB
archive-397	32	7	for	for	ADP
archive-397	32	8	their	their	PRON
archive-397	32	9	experiments	experiment	NOUN
archive-397	32	10	.	.	PUNCT
archive-397	33	1	distributed	distribute	VERB
archive-397	33	2	time	time	NOUN
archive-397	33	3	delay	delay	VERB
archive-397	33	4	artificial	artificial	ADJ
archive-397	33	5	neural	neural	ADJ
archive-397	33	6	network	network	NOUN
archive-397	33	7	(	(	PUNCT
archive-397	33	8	dtdnn	dtdnn	NOUN
archive-397	33	9	)	)	PUNCT
archive-397	33	10	was	be	AUX
archive-397	33	11	selected	select	VERB
archive-397	33	12	in	in	ADP
archive-397	33	13	(	(	PUNCT
archive-397	33	14	ibrahim	ibrahim	PROPN
archive-397	33	15	,	,	PUNCT
archive-397	33	16	2010	2010	NUM
archive-397	33	17	)	)	PUNCT
archive-397	33	18	as	as	ADP
archive-397	33	19	classification	classification	NOUN
archive-397	33	20	techniques	technique	NOUN
archive-397	33	21	for	for	ADP
archive-397	33	22	intrusion	intrusion	NOUN
archive-397	33	23	detection	detection	NOUN
archive-397	33	24	.	.	PUNCT
archive-397	34	1	they	they	PRON
archive-397	34	2	used	use	VERB
archive-397	34	3	kdd	kdd	PROPN
archive-397	34	4	cup’99	cup’99	PROPN
archive-397	34	5	data	datum	NOUN
archive-397	34	6	set	set	VERB
archive-397	34	7	for	for	ADP
archive-397	34	8	their	their	PRON
archive-397	34	9	experiments	experiment	NOUN
archive-397	34	10	.	.	PUNCT
archive-397	35	1	the	the	DET
archive-397	35	2	classification	classification	NOUN
archive-397	35	3	rate	rate	NOUN
archive-397	35	4	was	be	AUX
archive-397	35	5	high	high	ADJ
archive-397	35	6	accuracy	accuracy	NOUN
archive-397	35	7	.	.	PUNCT
archive-397	36	1	for	for	ADP
archive-397	36	2	intrusion	intrusion	NOUN
archive-397	36	3	detection	detection	NOUN
archive-397	36	4	,	,	PUNCT
archive-397	36	5	authors	author	NOUN
archive-397	36	6	use	use	VERB
archive-397	36	7	multi	multi	ADJ
archive-397	36	8	-	-	ADJ
archive-397	36	9	layer	layer	ADJ
archive-397	36	10	neural	neural	ADJ
archive-397	36	11	networks	network	NOUN
archive-397	36	12	and	and	CCONJ
archive-397	36	13	naı̈ve	naı̈ve	ADJ
archive-397	36	14	bayes	bayes	PROPN
archive-397	36	15	as	as	ADP
archive-397	36	16	classification	classification	NOUN
archive-397	36	17	algorithm	algorithm	NOUN
archive-397	36	18	in	in	ADP
archive-397	36	19	(	(	PUNCT
archive-397	36	20	ibrahim	ibrahim	PROPN
archive-397	36	21	,	,	PUNCT
archive-397	36	22	badr	badr	PROPN
archive-397	36	23	,	,	PUNCT
archive-397	36	24	&	&	CCONJ
archive-397	36	25	shaheen	shaheen	PROPN
archive-397	36	26	,	,	PUNCT
archive-397	36	27	2012	2012	NUM
archive-397	36	28	)	)	PUNCT
archive-397	36	29	.	.	PUNCT
archive-397	37	1	they	they	PRON
archive-397	37	2	used	use	VERB
archive-397	37	3	gain	gain	NOUN
archive-397	37	4	ratio	ratio	NOUN
archive-397	37	5	as	as	SCONJ
archive-397	37	6	features	feature	NOUN
archive-397	37	7	selection	selection	NOUN
archive-397	37	8	algorithms	algorithm	NOUN
archive-397	37	9	for	for	ADP
archive-397	37	10	select	select	ADJ
archive-397	37	11	best	good	ADJ
archive-397	37	12	features	feature	NOUN
archive-397	37	13	in	in	ADP
archive-397	37	14	each	each	DET
archive-397	37	15	layer	layer	NOUN
archive-397	37	16	.	.	PUNCT
archive-397	38	1	a	a	DET
archive-397	38	2	three	three	NUM
archive-397	38	3	-	-	PUNCT
archive-397	38	4	layer	layer	NOUN
archive-397	38	5	and	and	CCONJ
archive-397	38	6	naı̈ve	naı̈ve	ADJ
archive-397	38	7	bayes	bayes	PROPN
archive-397	38	8	classifier	classifier	NOUN
archive-397	38	9	was	be	AUX
archive-397	38	10	used	use	VERB
archive-397	38	11	in	in	ADP
archive-397	38	12	(	(	PUNCT
archive-397	38	13	sharma	sharma	PROPN
archive-397	38	14	&	&	CCONJ
archive-397	38	15	mukherjee	mukherjee	PROPN
archive-397	38	16	,	,	PUNCT
archive-397	38	17	2012	2012	NUM
archive-397	38	18	)	)	PUNCT
archive-397	38	19	as	as	ADP
archive-397	38	20	a	a	DET
archive-397	38	21	classification	classification	NOUN
archive-397	38	22	algorithm	algorithm	NOUN
archive-397	38	23	for	for	ADP
archive-397	38	24	enhance	enhance	VERB
archive-397	38	25	the	the	DET
archive-397	38	26	awareness	awareness	NOUN
archive-397	38	27	of	of	ADP
archive-397	38	28	the	the	DET
archive-397	38	29	intrusion	intrusion	NOUN
archive-397	38	30	detection	detection	NOUN
archive-397	38	31	through	through	ADP
archive-397	38	32	using	use	VERB
archive-397	38	33	the	the	DET
archive-397	38	34	domain	domain	NOUN
archive-397	38	35	knowledge	knowledge	NOUN
archive-397	38	36	and	and	CCONJ
archive-397	38	37	the	the	DET
archive-397	38	38	backward	backward	ADJ
archive-397	38	39	sequential	sequential	ADJ
archive-397	38	40	elimination	elimination	NOUN
archive-397	38	41	(	(	PUNCT
archive-397	38	42	bse	bse	NOUN
archive-397	38	43	)	)	PUNCT
archive-397	38	44	as	as	ADP
archive-397	38	45	feature	feature	NOUN
archive-397	38	46	selection	selection	NOUN
archive-397	38	47	technique	technique	NOUN
archive-397	38	48	.	.	PUNCT
archive-397	39	1	they	they	PRON
archive-397	39	2	used	use	VERB
archive-397	39	3	nsl	nsl	PROPN
archive-397	39	4	-	-	PUNCT
archive-397	39	5	kdd	kdd	PROPN
archive-397	39	6	dataset	dataset	NOUN
archive-397	39	7	for	for	ADP
archive-397	39	8	their	their	PRON
archive-397	39	9	experiments	experiment	NOUN
archive-397	39	10	.	.	PUNCT
archive-397	40	1	in	in	ADP
archive-397	40	2	(	(	PUNCT
archive-397	40	3	wahba	wahba	ADJ
archive-397	40	4	,	,	PUNCT
archive-397	40	5	el	el	PROPN
archive-397	40	6	salamouny	salamouny	PROPN
archive-397	40	7	,	,	PUNCT
archive-397	40	8	&	&	CCONJ
archive-397	40	9	el	el	PROPN
archive-397	40	10	taweel	taweel	PROPN
archive-397	40	11	,	,	PUNCT
archive-397	40	12	2015	2015	NUM
archive-397	40	13	)	)	PUNCT
archive-397	40	14	authors	author	NOUN
archive-397	40	15	proposed	propose	VERB
archive-397	40	16	an	an	DET
archive-397	40	17	improved	improved	ADJ
archive-397	40	18	approach	approach	NOUN
archive-397	40	19	for	for	ADP
archive-397	40	20	intrusion	intrusion	NOUN
archive-397	40	21	detection	detection	NOUN
archive-397	40	22	based	base	VERB
archive-397	40	23	on	on	ADP
archive-397	40	24	correlation	correlation	NOUN
archive-397	40	25	-	-	PUNCT
archive-397	40	26	based	base	VERB
archive-397	40	27	feature	feature	NOUN
archive-397	40	28	selection	selection	NOUN
archive-397	40	29	and	and	CCONJ
archive-397	40	30	information	information	NOUN
archive-397	40	31	gain	gain	VERB
archive-397	40	32	hybrid	hybrid	NOUN
archive-397	40	33	as	as	ADP
archive-397	40	34	feature	feature	NOUN
archive-397	40	35	selection	selection	NOUN
archive-397	40	36	methods	method	NOUN
archive-397	40	37	and	and	CCONJ
archive-397	40	38	naı̈ve	naı̈ve	ADJ
archive-397	40	39	bayes	bayes	PROPN
archive-397	40	40	as	as	ADP
archive-397	40	41	the	the	DET
archive-397	40	42	classification	classification	NOUN
archive-397	40	43	algorithm	algorithm	NOUN
archive-397	40	44	using	use	VERB
archive-397	40	45	reduced	reduce	VERB
archive-397	40	46	nsl	nsl	PROPN
archive-397	40	47	-	-	PUNCT
archive-397	40	48	kdd	kdd	PROPN
archive-397	40	49	dataset	dataset	NOUN
archive-397	40	50	.	.	PUNCT
archive-397	41	1	a	a	DET
archive-397	41	2	hybrid	hybrid	ADJ
archive-397	41	3	multilevel	multilevel	NOUN
archive-397	41	4	network	network	NOUN
archive-397	41	5	was	be	AUX
archive-397	41	6	selected	select	VERB
archive-397	41	7	in	in	ADP
archive-397	41	8	(	(	PUNCT
archive-397	41	9	majeed	majeed	PROPN
archive-397	41	10	,	,	PUNCT
archive-397	41	11	hashem	hashem	PROPN
archive-397	41	12	,	,	PUNCT
archive-397	41	13	&	&	CCONJ
archive-397	41	14	gbashi	gbashi	PROPN
archive-397	41	15	,	,	PUNCT
archive-397	41	16	2013	2013	NUM
archive-397	41	17	)	)	PUNCT
archive-397	41	18	for	for	ADP
archive-397	41	19	intrusion	intrusion	NOUN
archive-397	41	20	detection	detection	NOUN
archive-397	41	21	system	system	NOUN
archive-397	41	22	.	.	PUNCT
archive-397	42	1	the	the	DET
archive-397	42	2	system	system	NOUN
archive-397	42	3	can	can	AUX
archive-397	42	4	detect	detect	VERB
archive-397	42	5	both	both	DET
archive-397	42	6	misuse	misuse	NOUN
archive-397	42	7	and	and	CCONJ
archive-397	42	8	anomaly	anomaly	NOUN
archive-397	42	9	types	type	NOUN
archive-397	42	10	through	through	ADP
archive-397	42	11	using	use	VERB
archive-397	42	12	support	support	NOUN
archive-397	42	13	vector	vector	NOUN
archive-397	42	14	machine	machine	NOUN
archive-397	42	15	and	and	CCONJ
archive-397	42	16	ann	ann	PROPN
archive-397	42	17	as	as	ADP
archive-397	42	18	a	a	DET
archive-397	42	19	multilevel	multilevel	ADJ
archive-397	42	20	classification	classification	NOUN
archive-397	42	21	methods	method	NOUN
archive-397	42	22	based	base	VERB
archive-397	42	23	on	on	ADP
archive-397	42	24	principle	principle	ADJ
archive-397	42	25	component	component	NOUN
archive-397	42	26	analysis	analysis	NOUN
archive-397	42	27	(	(	PUNCT
archive-397	42	28	pca	pca	NOUN
archive-397	42	29	)	)	PUNCT
archive-397	42	30	as	as	ADP
archive-397	42	31	feature	feature	NOUN
archive-397	42	32	selection	selection	NOUN
archive-397	42	33	algorithm	algorithm	NOUN
archive-397	42	34	on	on	ADP
archive-397	42	35	nsl	nsl	PROPN
archive-397	42	36	-	-	PUNCT
archive-397	42	37	kdd	kdd	PROPN
archive-397	42	38	data	datum	NOUN
archive-397	42	39	set	set	NOUN
archive-397	42	40	.	.	PUNCT
archive-397	43	1	in	in	ADP
archive-397	43	2	(	(	PUNCT
archive-397	43	3	ahmad	ahmad	PROPN
archive-397	43	4	,	,	PUNCT
archive-397	43	5	abdulah	abdulah	ADJ
archive-397	43	6	,	,	PUNCT
archive-397	43	7	alghamdi	alghamdi	NOUN
archive-397	43	8	,	,	PUNCT
archive-397	43	9	alnfajan	alnfajan	ADJ
archive-397	43	10	,	,	PUNCT
archive-397	43	11	&	&	CCONJ
archive-397	43	12	hussain	hussain	PROPN
archive-397	43	13	,	,	PUNCT
archive-397	43	14	2015	2015	NUM
archive-397	43	15	)	)	PUNCT
archive-397	43	16	authors	author	NOUN
archive-397	43	17	proposed	propose	VERB
archive-397	43	18	a	a	DET
archive-397	43	19	multilayer	multilayer	ADJ
archive-397	43	20	perceptron	perceptron	NOUN
archive-397	43	21	(	(	PUNCT
archive-397	43	22	mlp	mlp	PROPN
archive-397	43	23	)	)	PUNCT
archive-397	43	24	for	for	ADP
archive-397	43	25	classification	classification	NOUN
archive-397	43	26	the	the	DET
archive-397	43	27	intrusion	intrusion	NOUN
archive-397	43	28	detection	detection	NOUN
archive-397	43	29	system	system	NOUN
archive-397	43	30	using	use	VERB
archive-397	43	31	genetic	genetic	ADJ
archive-397	43	32	algorithm	algorithm	NOUN
archive-397	43	33	(	(	PUNCT
archive-397	43	34	ga	ga	NOUN
archive-397	43	35	)	)	PUNCT
archive-397	43	36	for	for	ADP
archive-397	43	37	features	feature	NOUN
archive-397	43	38	selection	selection	NOUN
archive-397	43	39	on	on	ADP
archive-397	43	40	dd	dd	PROPN
archive-397	43	41	cup’99	cup’99	PROPN
archive-397	43	42	data	datum	NOUN
archive-397	43	43	set	set	VERB
archive-397	43	44	.	.	PUNCT
archive-397	44	1	the	the	DET
archive-397	44	2	method	method	NOUN
archive-397	44	3	is	be	AUX
archive-397	44	4	able	able	ADJ
archive-397	44	5	to	to	PART
archive-397	44	6	reduce	reduce	VERB
archive-397	44	7	the	the	DET
archive-397	44	8	feature	feature	NOUN
archive-397	44	9	numbers	number	NOUN
archive-397	44	10	and	and	CCONJ
archive-397	44	11	score	score	VERB
archive-397	44	12	high	high	ADJ
archive-397	44	13	detection	detection	NOUN
archive-397	44	14	rate	rate	NOUN
archive-397	44	15	,	,	PUNCT
archive-397	44	16	which	which	PRON
archive-397	44	17	act	act	VERB
archive-397	44	18	as	as	ADP
archive-397	44	19	prime	prime	ADJ
archive-397	44	20	intrusion	intrusion	NOUN
archive-397	44	21	detection	detection	NOUN
archive-397	44	22	mechanism	mechanism	NOUN
archive-397	44	23	.	.	PUNCT
archive-397	45	1	a	a	DET
archive-397	45	2	combination	combination	NOUN
archive-397	45	3	algorithm	algorithm	NOUN
archive-397	45	4	used	use	VERB
archive-397	45	5	the	the	DET
archive-397	45	6	bayes	bayes	PROPN
archive-397	45	7	net	net	NOUN
archive-397	45	8	,	,	PUNCT
archive-397	45	9	naive	naive	ADJ
archive-397	45	10	bayes	bayes	NOUN
archive-397	45	11	,	,	PUNCT
archive-397	45	12	random	random	ADJ
archive-397	45	13	tree	tree	NOUN
archive-397	45	14	,	,	PUNCT
archive-397	45	15	part	part	NOUN
archive-397	45	16	,	,	PUNCT
archive-397	45	17	c4.5	c4.5	PROPN
archive-397	45	18	,	,	PUNCT
archive-397	45	19	and	and	CCONJ
archive-397	45	20	attribute	attribute	NOUN
archive-397	45	21	selected	select	VERB
archive-397	45	22	classifier	classifier	NOUN
archive-397	45	23	in	in	ADP
archive-397	45	24	(	(	PUNCT
archive-397	45	25	parvat	parvat	PROPN
archive-397	45	26	&	&	CCONJ
archive-397	45	27	chandra	chandra	PROPN
archive-397	45	28	,	,	PUNCT
archive-397	45	29	2015	2015	NUM
archive-397	45	30	)	)	PUNCT
archive-397	45	31	as	as	ADP
archive-397	45	32	a	a	DET
archive-397	45	33	machine	machine	NOUN
archive-397	45	34	learning	learn	VERB
archive-397	45	35	algorithm	algorithm	NOUN
archive-397	45	36	.	.	PUNCT
archive-397	46	1	used	use	VERB
archive-397	46	2	20	20	NUM
archive-397	46	3	%	%	NOUN
archive-397	46	4	kdd	kdd	PROPN
archive-397	46	5	cup’99	cup’99	PROPN
archive-397	46	6	data	datum	NOUN
archive-397	46	7	set	set	VERB
archive-397	46	8	for	for	ADP
archive-397	46	9	their	their	PRON
archive-397	46	10	experiments	experiment	NOUN
archive-397	46	11	.	.	PUNCT
archive-397	47	1	the	the	DET
archive-397	47	2	purposed	purposed	ADJ
archive-397	47	3	work	work	NOUN
archive-397	47	4	improved	improve	VERB
archive-397	47	5	the	the	DET
archive-397	47	6	more	more	ADJ
archive-397	47	7	accuracy	accuracy	NOUN
archive-397	47	8	as	as	ADV
archive-397	47	9	well	well	ADV
archive-397	47	10	as	as	ADP
archive-397	47	11	the	the	DET
archive-397	47	12	time	time	NOUN
archive-397	47	13	complexity	complexity	NOUN
archive-397	47	14	.	.	PUNCT
archive-397	48	1	a	a	DET
archive-397	48	2	simple	simple	ADJ
archive-397	48	3	classification	classification	NOUN
archive-397	48	4	algorithm	algorithm	NOUN
archive-397	48	5	(	(	PUNCT
archive-397	48	6	nearest	near	ADJ
archive-397	48	7	neighbor	neighbor	NOUN
archive-397	48	8	classifier	classifier	NOUN
archive-397	48	9	)	)	PUNCT
archive-397	48	10	and	and	CCONJ
archive-397	48	11	feature	feature	NOUN
archive-397	48	12	selection	selection	NOUN
archive-397	48	13	technique	technique	NOUN
archive-397	48	14	(	(	PUNCT
archive-397	48	15	ant	ant	ADJ
archive-397	48	16	colony	colony	NOUN
archive-397	48	17	optimization	optimization	NOUN
archive-397	48	18	)	)	PUNCT
archive-397	48	19	was	be	AUX
archive-397	48	20	used	use	VERB
archive-397	48	21	in	in	ADP
archive-397	48	22	(	(	PUNCT
archive-397	48	23	aghdam	aghdam	NOUN
archive-397	48	24	&	&	CCONJ
archive-397	48	25	kabiri	kabiri	PROPN
archive-397	48	26	,	,	PUNCT
archive-397	48	27	2016	2016	NUM
archive-397	48	28	)	)	PUNCT
archive-397	48	29	for	for	ADP
archive-397	48	30	intrusion	intrusion	NOUN
archive-397	48	31	detection	detection	NOUN
archive-397	48	32	system	system	NOUN
archive-397	48	33	.	.	PUNCT
archive-397	49	1	the	the	DET
archive-397	49	2	general	general	ADJ
archive-397	49	3	experimental	experimental	ADJ
archive-397	49	4	results	result	NOUN
archive-397	49	5	on	on	ADP
archive-397	49	6	the	the	DET
archive-397	49	7	kdd	kdd	PROPN
archive-397	49	8	cup	cup	PROPN
archive-397	49	9	99	99	NUM
archive-397	49	10	and	and	CCONJ
archive-397	49	11	nsl	nsl	PROPN
archive-397	49	12	-	-	PUNCT
archive-397	49	13	kdd	kdd	PROPN
archive-397	49	14	data	datum	NOUN
archive-397	49	15	sets	set	NOUN
archive-397	49	16	providing	provide	VERB
archive-397	49	17	higher	high	ADJ
archive-397	49	18	accuracy	accuracy	NOUN
archive-397	49	19	in	in	ADP
archive-397	49	20	detecting	detect	VERB
archive-397	49	21	intrusion	intrusion	NOUN
archive-397	49	22	attempts	attempt	NOUN
archive-397	49	23	and	and	CCONJ
archive-397	49	24	lower	low	ADJ
archive-397	49	25	false	false	ADJ
archive-397	49	26	alarm	alarm	NOUN
archive-397	49	27	with	with	ADP
archive-397	49	28	reduced	reduced	ADJ
archive-397	49	29	number	number	NOUN
archive-397	49	30	of	of	ADP
archive-397	49	31	features	feature	NOUN
archive-397	49	32	.	.	PUNCT
archive-397	50	1	a	a	DET
archive-397	50	2	new	new	ADJ
archive-397	50	3	hybrid	hybrid	ADJ
archive-397	50	4	algorithm	algorithm	NOUN
archive-397	50	5	for	for	ADP
archive-397	50	6	classification	classification	NOUN
archive-397	50	7	and	and	CCONJ
archive-397	50	8	features	feature	NOUN
archive-397	50	9	selection	selection	NOUN
archive-397	50	10	was	be	AUX
archive-397	50	11	proposed	propose	VERB
archive-397	50	12	in	in	ADP
archive-397	50	13	(	(	PUNCT
archive-397	50	14	sadek	sadek	PROPN
archive-397	50	15	,	,	PUNCT
archive-397	50	16	soliman	soliman	PROPN
archive-397	50	17	&	&	CCONJ
archive-397	50	18	elsayed	elsaye	VERB
archive-397	50	19	,	,	PUNCT
archive-397	50	20	2013	2013	NUM
archive-397	50	21	)	)	PUNCT
archive-397	50	22	.	.	PUNCT
archive-397	51	1	the	the	DET
archive-397	51	2	neural	neural	ADJ
archive-397	51	3	network	network	NOUN
archive-397	51	4	based	base	VERB
archive-397	51	5	on	on	ADP
archive-397	51	6	indicator	indicator	NOUN
archive-397	51	7	variable	variable	NOUN
archive-397	51	8	used	use	VERB
archive-397	51	9	as	as	ADP
archive-397	51	10	classification	classification	NOUN
archive-397	51	11	method	method	NOUN
archive-397	51	12	,	,	PUNCT
archive-397	51	13	while	while	SCONJ
archive-397	51	14	rough	rough	ADJ
archive-397	51	15	set	set	NOUN
archive-397	51	16	method	method	NOUN
archive-397	51	17	used	use	VERB
archive-397	51	18	as	as	ADP
archive-397	51	19	feature	feature	NOUN
archive-397	51	20	selection	selection	NOUN
archive-397	51	21	.	.	PUNCT
archive-397	52	1	the	the	DET
archive-397	52	2	experiments	experiment	NOUN
archive-397	52	3	result	result	VERB
archive-397	52	4	on	on	ADP
archive-397	52	5	nsl	nsl	PROPN
archive-397	52	6	-	-	PUNCT
archive-397	52	7	kdd	kdd	PROPN
archive-397	52	8	dataset	dataset	NOUN
archive-397	52	9	provided	provide	VERB
archive-397	52	10	high	high	ADJ
archive-397	52	11	detection	detection	NOUN
archive-397	52	12	accuracy	accuracy	NOUN
archive-397	52	13	with	with	ADP
archive-397	52	14	low	low	ADJ
archive-397	52	15	false	false	ADJ
archive-397	52	16	alarm	alarm	NOUN
archive-397	52	17	rate	rate	NOUN
archive-397	52	18	as	as	ADP
archive-397	52	19	better	well	ADJ
archive-397	52	20	and	and	CCONJ
archive-397	52	21	robust	robust	ADJ
archive-397	52	22	performance	performance	NOUN
archive-397	52	23	.	.	PUNCT
archive-397	53	1	pg	pg	INTJ
archive-397	53	2	.	.	PUNCT
archive-397	54	1	482	482	NUM
archive-397	54	2	yassin	yassin	PROPN
archive-397	54	3	/	/	PUNCT
archive-397	54	4	the	the	DET
archive-397	54	5	academic	academic	ADJ
archive-397	54	6	research	research	NOUN
archive-397	54	7	community	community	NOUN
archive-397	54	8	publication	publication	NOUN
archive-397	54	9	3	3	NUM
archive-397	54	10	.	.	PUNCT
archive-397	54	11	dataset	dataset	ADJ
archive-397	54	12	description	description	NOUN
archive-397	54	13	the	the	DET
archive-397	54	14	kdd	kdd	PROPN
archive-397	54	15	cup	cup	PROPN
archive-397	54	16	99	99	NUM
archive-397	54	17	dataset	dataset	NOUN
archive-397	54	18	has	have	VERB
archive-397	54	19	many	many	ADJ
archive-397	54	20	disadvantages	disadvantage	NOUN
archive-397	54	21	(	(	PUNCT
archive-397	54	22	kaushik	kaushik	PROPN
archive-397	54	23	&	&	CCONJ
archive-397	54	24	deshmukh	deshmukh	PROPN
archive-397	54	25	,	,	PUNCT
archive-397	54	26	2011	2011	NUM
archive-397	54	27	)	)	PUNCT
archive-397	54	28	which	which	PRON
archive-397	54	29	discovered	discover	VERB
archive-397	54	30	through	through	ADP
archive-397	54	31	different	different	ADJ
archive-397	54	32	statistical	statistical	ADJ
archive-397	54	33	analyses	analysis	NOUN
archive-397	54	34	.	.	PUNCT
archive-397	55	1	nsl	nsl	PROPN
archive-397	55	2	-	-	PUNCT
archive-397	55	3	kdd	kdd	PROPN
archive-397	55	4	data	datum	NOUN
archive-397	55	5	set	set	NOUN
archive-397	55	6	(	(	PUNCT
archive-397	55	7	brunswick	brunswick	PROPN
archive-397	55	8	,	,	PUNCT
archive-397	55	9	2017	2017	NUM
archive-397	55	10	)	)	PUNCT
archive-397	55	11	is	be	AUX
archive-397	55	12	an	an	DET
archive-397	55	13	enhanced	enhanced	ADJ
archive-397	55	14	version	version	NOUN
archive-397	55	15	of	of	ADP
archive-397	55	16	the	the	DET
archive-397	55	17	kdd	kdd	PROPN
archive-397	55	18	data	data	PROPN
archive-397	55	19	set	set	NOUN
archive-397	55	20	which	which	PRON
archive-397	55	21	contains	contain	VERB
archive-397	55	22	the	the	DET
archive-397	55	23	main	main	ADJ
archive-397	55	24	recodes	recode	NOUN
archive-397	55	25	of	of	ADP
archive-397	55	26	the	the	DET
archive-397	55	27	all	all	DET
archive-397	55	28	kdd	kdd	PROPN
archive-397	55	29	data	datum	NOUN
archive-397	55	30	set	set	VERB
archive-397	55	31	.	.	PUNCT
archive-397	56	1	nsl	nsl	PROPN
archive-397	56	2	-	-	PUNCT
archive-397	56	3	kdd	kdd	PROPN
archive-397	56	4	dataset	dataset	NOUN
archive-397	56	5	has	have	VERB
archive-397	56	6	many	many	ADJ
archive-397	56	7	advantages	advantage	NOUN
archive-397	56	8	:	:	PUNCT
archive-397	56	9	the	the	DET
archive-397	56	10	redundant	redundant	ADJ
archive-397	56	11	records	record	NOUN
archive-397	56	12	are	be	AUX
archive-397	56	13	removed	remove	VERB
archive-397	56	14	from	from	ADP
archive-397	56	15	the	the	DET
archive-397	56	16	train	train	NOUN
archive-397	56	17	set	set	NOUN
archive-397	56	18	to	to	PART
archive-397	56	19	enable	enable	VERB
archive-397	56	20	the	the	DET
archive-397	56	21	classifiers	classifier	NOUN
archive-397	56	22	to	to	PART
archive-397	56	23	not	not	PART
archive-397	56	24	produce	produce	VERB
archive-397	56	25	any	any	DET
archive-397	56	26	unfair	unfair	ADJ
archive-397	56	27	result	result	NOUN
archive-397	56	28	.	.	PUNCT
archive-397	57	1	the	the	DET
archive-397	57	2	duplicated	duplicate	VERB
archive-397	57	3	records	record	NOUN
archive-397	57	4	are	be	AUX
archive-397	57	5	removed	remove	VERB
archive-397	57	6	to	to	PART
archive-397	57	7	produce	produce	VERB
archive-397	57	8	better	well	ADJ
archive-397	57	9	reduction	reduction	NOUN
archive-397	57	10	rates	rate	NOUN
archive-397	57	11	.	.	PUNCT
archive-397	58	1	the	the	DET
archive-397	58	2	records	record	NOUN
archive-397	58	3	have	have	VERB
archive-397	58	4	a	a	DET
archive-397	58	5	sufficient	sufficient	ADJ
archive-397	58	6	number	number	NOUN
archive-397	58	7	in	in	ADP
archive-397	58	8	the	the	DET
archive-397	58	9	train	train	NOUN
archive-397	58	10	and	and	CCONJ
archive-397	58	11	test	test	NOUN
archive-397	58	12	data	datum	NOUN
archive-397	58	13	sets	set	NOUN
archive-397	58	14	to	to	PART
archive-397	58	15	execute	execute	VERB
archive-397	58	16	experiments	experiment	NOUN
archive-397	58	17	on	on	ADP
archive-397	58	18	the	the	DET
archive-397	58	19	complete	complete	ADJ
archive-397	58	20	set	set	NOUN
archive-397	58	21	.	.	PUNCT
archive-397	59	1	selection	selection	NOUN
archive-397	59	2	procedure	procedure	NOUN
archive-397	59	3	of	of	ADP
archive-397	59	4	records	record	NOUN
archive-397	59	5	from	from	ADP
archive-397	59	6	each	each	DET
archive-397	59	7	group	group	NOUN
archive-397	59	8	in	in	ADP
archive-397	59	9	the	the	DET
archive-397	59	10	original	original	ADJ
archive-397	59	11	kdd	kdd	PROPN
archive-397	59	12	data	datum	NOUN
archive-397	59	13	set	set	VERB
archive-397	59	14	is	be	AUX
archive-397	59	15	characterized	characterize	VERB
archive-397	59	16	by	by	ADP
archive-397	59	17	the	the	DET
archive-397	59	18	number	number	NOUN
archive-397	59	19	of	of	ADP
archive-397	59	20	these	these	DET
archive-397	59	21	records	record	NOUN
archive-397	59	22	.	.	PUNCT
archive-397	60	1	in	in	ADP
archive-397	60	2	each	each	DET
archive-397	60	3	record	record	NOUN
archive-397	60	4	there	there	PRON
archive-397	60	5	isa	isa	VERB
archive-397	60	6	number	number	NOUN
archive-397	60	7	of	of	ADP
archive-397	60	8	attributes	attribute	NOUN
archive-397	60	9	(	(	PUNCT
archive-397	60	10	here	here	ADV
archive-397	60	11	41	41	NUM
archive-397	60	12	)	)	PUNCT
archive-397	60	13	indicates	indicate	VERB
archive-397	60	14	different	different	ADJ
archive-397	60	15	features	feature	NOUN
archive-397	60	16	of	of	ADP
archive-397	60	17	the	the	DET
archive-397	60	18	network	network	NOUN
archive-397	60	19	flow	flow	NOUN
archive-397	60	20	and	and	CCONJ
archive-397	60	21	a	a	DET
archive-397	60	22	label	label	NOUN
archive-397	60	23	assigned	assign	VERB
archive-397	60	24	to	to	ADP
archive-397	60	25	each	each	PRON
archive-397	60	26	either	either	PRON
archive-397	60	27	can	can	AUX
archive-397	60	28	be	be	AUX
archive-397	60	29	classified	classify	VERB
archive-397	60	30	into	into	ADP
archive-397	60	31	an	an	DET
archive-397	60	32	attack	attack	NOUN
archive-397	60	33	type	type	NOUN
archive-397	60	34	or	or	CCONJ
archive-397	60	35	as	as	ADV
archive-397	60	36	normal	normal	ADJ
archive-397	60	37	.	.	PUNCT
archive-397	61	1	the	the	DET
archive-397	61	2	details	detail	NOUN
archive-397	61	3	of	of	ADP
archive-397	61	4	the	the	DET
archive-397	61	5	nsl	nsl	PROPN
archive-397	61	6	-	-	PUNCT
archive-397	61	7	kdd	kdd	PROPN
archive-397	61	8	dataset	dataset	NOUN
archive-397	61	9	are	be	AUX
archive-397	61	10	listed	list	VERB
archive-397	61	11	in	in	ADP
archive-397	61	12	the	the	DET
archive-397	61	13	table	table	NOUN
archive-397	61	14	1	1	NUM
archive-397	61	15	,	,	PUNCT
archive-397	61	16	2	2	NUM
archive-397	61	17	,	,	PUNCT
archive-397	61	18	3	3	NUM
archive-397	61	19	,	,	PUNCT
archive-397	61	20	and	and	CCONJ
archive-397	61	21	4	4	NUM
archive-397	61	22	.	.	NOUN
archive-397	61	23	table	table	NOUN
archive-397	61	24	1	1	NUM
archive-397	61	25	.	.	PUNCT
archive-397	61	26	essential	essential	ADJ
archive-397	61	27	features	feature	NOUN
archive-397	61	28	of	of	ADP
archive-397	61	29	each	each	DET
archive-397	61	30	network	network	NOUN
archive-397	61	31	connection	connection	NOUN
archive-397	61	32	att	att	PROPN
archive-397	61	33	.	.	PUNCT
archive-397	62	1	no	no	INTJ
archive-397	62	2	.	.	PUNCT
archive-397	63	1	attribute	attribute	NOUN
archive-397	63	2	name	name	NOUN
archive-397	63	3	description	description	NOUN
archive-397	63	4	sample	sample	NOUN
archive-397	63	5	data	datum	NOUN
archive-397	63	6	1	1	NUM
archive-397	63	7	duration	duration	NOUN
archive-397	63	8	time	time	NOUN
archive-397	63	9	connection	connection	NOUN
archive-397	63	10	duration	duration	NOUN
archive-397	63	11	0	0	NUM
archive-397	63	12	2	2	NUM
archive-397	63	13	protocol	protocol	NOUN
archive-397	63	14	type	type	NOUN
archive-397	63	15	protocol	protocol	NOUN
archive-397	63	16	used	use	VERB
archive-397	63	17	in	in	ADP
archive-397	63	18	connection	connection	NOUN
archive-397	63	19	tcp	tcp	VERB
archive-397	63	20	3	3	NUM
archive-397	63	21	service	service	NOUN
archive-397	63	22	destination	destination	NOUN
archive-397	63	23	network	network	NOUN
archive-397	63	24	services	services	PROPN
archive-397	63	25	ftp	ftp	PROPN
archive-397	63	26	data	data	PROPN
archive-397	63	27	4	4	NUM
archive-397	63	28	flag	flag	NOUN
archive-397	63	29	status	status	NOUN
archive-397	63	30	of	of	ADP
archive-397	63	31	the	the	DET
archive-397	63	32	connection	connection	NOUN
archive-397	63	33	sf	sf	VERB
archive-397	63	34	5	5	NUM
archive-397	63	35	src	src	NOUN
archive-397	63	36	bytes	byte	NOUN
archive-397	63	37	amount	amount	NOUN
archive-397	63	38	of	of	ADP
archive-397	63	39	data	datum	NOUN
archive-397	63	40	transferred	transfer	VERB
archive-397	63	41	from	from	ADP
archive-397	63	42	source	source	NOUN
archive-397	63	43	to	to	ADP
archive-397	63	44	destination	destination	NOUN
archive-397	63	45	491	491	NUM
archive-397	63	46	6	6	NUM
archive-397	63	47	dst	dst	NOUN
archive-397	63	48	bytes	byte	NOUN
archive-397	63	49	amount	amount	NOUN
archive-397	63	50	of	of	ADP
archive-397	63	51	data	datum	NOUN
archive-397	63	52	transferred	transfer	VERB
archive-397	63	53	from	from	ADP
archive-397	63	54	destination	destination	NOUN
archive-397	63	55	to	to	PART
archive-397	63	56	source	source	VERB
archive-397	63	57	0	0	NUM
archive-397	63	58	7	7	NUM
archive-397	63	59	land	land	NOUN
archive-397	63	60	status	status	NOUN
archive-397	63	61	1(source	1(source	NOUN
archive-397	63	62	,	,	PUNCT
archive-397	63	63	destination	destination	NOUN
archive-397	63	64	,	,	PUNCT
archive-397	63	65	port	port	NOUN
archive-397	63	66	equal	equal	ADJ
archive-397	63	67	)	)	PUNCT
archive-397	63	68	0	0	NUM
archive-397	64	1	(	(	PUNCT
archive-397	64	2	else	else	ADV
archive-397	64	3	)	)	PUNCT
archive-397	64	4	0	0	NUM
archive-397	64	5	8	8	NUM
archive-397	64	6	wrong	wrong	ADJ
archive-397	64	7	fragment	fragment	NOUN
archive-397	64	8	wrong	wrong	ADJ
archive-397	64	9	fragment	fragment	NOUN
archive-397	64	10	number	number	NOUN
archive-397	64	11	0	0	NUM
archive-397	64	12	9	9	NUM
archive-397	64	13	urgent	urgent	ADJ
archive-397	64	14	urgent	urgent	ADJ
archive-397	64	15	packet	packet	NOUN
archive-397	64	16	numbers	number	NOUN
archive-397	64	17	(	(	PUNCT
archive-397	64	18	bit	bit	ADV
archive-397	64	19	activated	activated	ADJ
archive-397	64	20	)	)	PUNCT
archive-397	64	21	0	0	NUM
archive-397	64	22	table	table	NOUN
archive-397	64	23	2	2	NUM
archive-397	64	24	.	.	X
archive-397	64	25	content	content	NOUN
archive-397	64	26	related	relate	VERB
archive-397	64	27	features	feature	NOUN
archive-397	64	28	of	of	ADP
archive-397	64	29	each	each	DET
archive-397	64	30	network	network	NOUN
archive-397	64	31	connection	connection	NOUN
archive-397	64	32	vector	vector	PROPN
archive-397	64	33	att	att	PROPN
archive-397	64	34	.	.	PUNCT
archive-397	65	1	no	no	INTJ
archive-397	65	2	.	.	PUNCT
archive-397	65	3	attribute	attribute	NOUN
archive-397	65	4	name	name	NOUN
archive-397	65	5	description	description	NOUN
archive-397	65	6	sample	sample	NOUN
archive-397	65	7	data	datum	NOUN
archive-397	65	8	10	10	NUM
archive-397	65	9	hot	hot	ADJ
archive-397	65	10	enter	enter	VERB
archive-397	65	11	system	system	NOUN
archive-397	65	12	&	&	CCONJ
archive-397	65	13	execute	execute	VERB
archive-397	65	14	program	program	NOUN
archive-397	65	15	0	0	NUM
archive-397	65	16	11	11	NUM
archive-397	65	17	num	num	NOUN
archive-397	65	18	failed	fail	VERB
archive-397	65	19	logins	login	NOUN
archive-397	65	20	attempts	attempt	VERB
archive-397	65	21	login	login	NOUN
archive-397	65	22	filed	file	VERB
archive-397	65	23	number	number	NOUN
archive-397	65	24	0	0	NUM
archive-397	65	25	12	12	NUM
archive-397	65	26	logged	log	VERB
archive-397	65	27	in	in	ADP
archive-397	65	28	status	status	NOUN
archive-397	65	29	1(success	1(success	NUM
archive-397	65	30	)	)	PUNCT
archive-397	65	31	0	0	NUM
archive-397	65	32	(	(	PUNCT
archive-397	65	33	failed	fail	VERB
archive-397	65	34	)	)	PUNCT
archive-397	65	35	0	0	NUM
archive-397	66	1	13	13	NUM
archive-397	66	2	num	num	NOUN
archive-397	66	3	compromised	compromise	VERB
archive-397	66	4	no	no	INTJ
archive-397	66	5	.	.	PUNCT
archive-397	66	6	of	of	ADP
archive-397	66	7	negotiated	negotiate	VERB
archive-397	66	8	conditions	condition	NOUN
archive-397	66	9	0	0	NUM
archive-397	66	10	14	14	NUM
archive-397	66	11	root	root	NOUN
archive-397	66	12	shell	shell	NOUN
archive-397	66	13	status	status	NOUN
archive-397	66	14	1(done	1(done	NUM
archive-397	66	15	)	)	PUNCT
archive-397	66	16	0	0	NUM
archive-397	67	1	(	(	PUNCT
archive-397	67	2	failed	fail	VERB
archive-397	67	3	)	)	PUNCT
archive-397	67	4	0	0	NUM
archive-397	67	5	15	15	NUM
archive-397	67	6	su	su	NOUN
archive-397	67	7	attempted	attempt	VERB
archive-397	67	8	status	status	NOUN
archive-397	67	9	1(done	1(done	NUM
archive-397	67	10	)	)	PUNCT
archive-397	67	11	0	0	NUM
archive-397	68	1	(	(	PUNCT
archive-397	68	2	failed	fail	VERB
archive-397	68	3	)	)	PUNCT
archive-397	68	4	0	0	NUM
archive-397	69	1	16	16	NUM
archive-397	69	2	num	num	ADJ
archive-397	69	3	root	root	NOUN
archive-397	69	4	no	no	INTJ
archive-397	69	5	.	.	PUNCT
archive-397	69	6	of	of	ADP
archive-397	69	7	operations	operation	NOUN
archive-397	69	8	in	in	ADP
archive-397	69	9	connection	connection	NOUN
archive-397	69	10	0	0	NUM
archive-397	69	11	17	17	NUM
archive-397	69	12	num	num	ADJ
archive-397	69	13	file	file	NOUN
archive-397	69	14	creations	creation	NOUN
archive-397	69	15	no	no	INTJ
archive-397	69	16	.	.	PUNCT
archive-397	70	1	of	of	ADP
archive-397	70	2	file	file	NOUN
archive-397	70	3	creation	creation	NOUN
archive-397	70	4	in	in	ADP
archive-397	70	5	connection	connection	NOUN
archive-397	70	6	0	0	NUM
archive-397	70	7	18	18	NUM
archive-397	70	8	num	num	ADJ
archive-397	70	9	shells	shell	NOUN
archive-397	70	10	no	no	INTJ
archive-397	70	11	.	.	PUNCT
archive-397	70	12	of	of	ADP
archive-397	70	13	shell	shell	ADJ
archive-397	70	14	prompts	prompt	NOUN
archive-397	71	1	0	0	NUM
archive-397	71	2	19	19	NUM
archive-397	71	3	num	num	ADJ
archive-397	71	4	access	access	NOUN
archive-397	71	5	files	file	NOUN
archive-397	71	6	no	no	INTJ
archive-397	71	7	.	.	PUNCT
archive-397	71	8	of	of	ADP
archive-397	71	9	operations	operation	NOUN
archive-397	71	10	access	access	NOUN
archive-397	71	11	control	control	NOUN
archive-397	71	12	0	0	NUM
archive-397	71	13	20	20	NUM
archive-397	71	14	num	num	DET
archive-397	71	15	outbound	outbound	ADJ
archive-397	71	16	cmds	cmds	NOUN
archive-397	71	17	no	no	INTJ
archive-397	71	18	.	.	PUNCT
archive-397	71	19	of	of	ADP
archive-397	71	20	outbound	outbound	ADJ
archive-397	71	21	command	command	NOUN
archive-397	71	22	in	in	ADP
archive-397	71	23	ftp	ftp	PROPN
archive-397	71	24	session	session	NOUN
archive-397	71	25	0	0	NUM
archive-397	71	26	continued	continue	VERB
archive-397	71	27	on	on	ADP
archive-397	71	28	next	next	ADJ
archive-397	71	29	page	page	NOUN
archive-397	71	30	pg	pg	NOUN
archive-397	71	31	.	.	PUNCT
archive-397	72	1	483	483	NUM
archive-397	72	2	yassin	yassin	PROPN
archive-397	72	3	/	/	PUNCT
archive-397	72	4	the	the	DET
archive-397	72	5	academic	academic	ADJ
archive-397	72	6	research	research	NOUN
archive-397	72	7	community	community	NOUN
archive-397	72	8	publication	publication	NOUN
archive-397	72	9	table	table	NOUN
archive-397	72	10	2	2	NUM
archive-397	72	11	continued	continue	VERB
archive-397	72	12	21	21	NUM
archive-397	72	13	is	be	AUX
archive-397	72	14	hot	hot	ADJ
archive-397	72	15	login	login	NOUN
archive-397	72	16	status	status	NOUN
archive-397	72	17	1(hot	1(hot	PROPN
archive-397	72	18	login	login	NOUN
archive-397	72	19	)	)	PUNCT
archive-397	72	20	0	0	PUNCT
archive-397	73	1	(	(	PUNCT
archive-397	73	2	otherwise	otherwise	ADV
archive-397	73	3	)	)	PUNCT
archive-397	73	4	0	0	NUM
archive-397	73	5	22	22	NUM
archive-397	73	6	is	be	AUX
archive-397	73	7	guest	guest	NOUN
archive-397	73	8	login	login	NOUN
archive-397	73	9	status	status	NOUN
archive-397	73	10	1(guest	1(guest	NUM
archive-397	73	11	login	login	NOUN
archive-397	73	12	)	)	PUNCT
archive-397	73	13	0	0	PUNCT
archive-397	74	1	(	(	PUNCT
archive-397	74	2	otherwise	otherwise	ADV
archive-397	74	3	)	)	PUNCT
archive-397	74	4	0	0	NUM
archive-397	74	5	table	table	NOUN
archive-397	74	6	3	3	NUM
archive-397	74	7	.	.	PUNCT
archive-397	75	1	network	network	NOUN
archive-397	75	2	connection	connection	NOUN
archive-397	75	3	time	time	NOUN
archive-397	75	4	traffic	traffic	PROPN
archive-397	75	5	features	feature	VERB
archive-397	75	6	att	att	PROPN
archive-397	75	7	.	.	PUNCT
archive-397	76	1	no	no	INTJ
archive-397	76	2	.	.	PUNCT
archive-397	76	3	attribute	attribute	NOUN
archive-397	76	4	name	name	NOUN
archive-397	76	5	description	description	NOUN
archive-397	76	6	sample	sample	NOUN
archive-397	76	7	data	data	VERB
archive-397	76	8	23	23	NUM
archive-397	76	9	count	count	NOUN
archive-397	76	10	amount	amount	NOUN
archive-397	76	11	of	of	ADP
archive-397	76	12	connections	connection	NOUN
archive-397	76	13	(	(	PUNCT
archive-397	76	14	same	same	ADJ
archive-397	76	15	destination	destination	NOUN
archive-397	76	16	)	)	PUNCT
archive-397	76	17	2	2	NUM
archive-397	76	18	24	24	NUM
archive-397	76	19	srv	srv	NOUN
archive-397	76	20	count	count	NOUN
archive-397	76	21	amount	amount	NOUN
archive-397	76	22	of	of	ADP
archive-397	76	23	connections	connection	NOUN
archive-397	76	24	(	(	PUNCT
archive-397	76	25	same	same	ADJ
archive-397	76	26	services	service	NOUN
archive-397	76	27	+	+	CCONJ
archive-397	76	28	same	same	ADJ
archive-397	76	29	port	port	NOUN
archive-397	76	30	)	)	PUNCT
archive-397	76	31	2	2	NUM
archive-397	76	32	25	25	NUM
archive-397	76	33	serror	serror	NOUN
archive-397	76	34	rate	rate	NOUN
archive-397	76	35	percentage	percentage	NOUN
archive-397	76	36	of	of	ADP
archive-397	76	37	connections	connection	NOUN
archive-397	76	38	(	(	PUNCT
archive-397	76	39	active	active	ADJ
archive-397	76	40	flag	flag	NOUN
archive-397	76	41	)	)	PUNCT
archive-397	76	42	in	in	ADP
archive-397	76	43	count	count	NOUN
archive-397	76	44	0	0	NUM
archive-397	76	45	26	26	NUM
archive-397	76	46	srv	srv	PROPN
archive-397	76	47	serror	serror	NOUN
archive-397	76	48	rate	rate	NOUN
archive-397	76	49	percentage	percentage	NOUN
archive-397	76	50	of	of	ADP
archive-397	76	51	connections	connection	NOUN
archive-397	76	52	(	(	PUNCT
archive-397	76	53	active	active	ADJ
archive-397	76	54	flag	flag	NOUN
archive-397	76	55	4	4	NUM
archive-397	76	56	)	)	PUNCT
archive-397	76	57	in	in	ADP
archive-397	76	58	srv	srv	PROPN
archive-397	76	59	count	count	NOUN
archive-397	76	60	0	0	NUM
archive-397	76	61	27	27	NUM
archive-397	76	62	rerror	rerror	NOUN
archive-397	76	63	rate	rate	NOUN
archive-397	76	64	percentage	percentage	NOUN
archive-397	76	65	of	of	ADP
archive-397	76	66	connections	connection	NOUN
archive-397	76	67	(	(	PUNCT
archive-397	76	68	active	active	ADJ
archive-397	76	69	flag	flag	NOUN
archive-397	76	70	)	)	PUNCT
archive-397	76	71	in	in	ADP
archive-397	76	72	count	count	NOUN
archive-397	76	73	0	0	NUM
archive-397	76	74	28	28	NUM
archive-397	76	75	srv	srv	PROPN
archive-397	76	76	rerror	rerror	NOUN
archive-397	76	77	rate	rate	NOUN
archive-397	76	78	percentage	percentage	NOUN
archive-397	76	79	of	of	ADP
archive-397	76	80	connections	connection	NOUN
archive-397	76	81	(	(	PUNCT
archive-397	76	82	active	active	ADJ
archive-397	76	83	flag	flag	NOUN
archive-397	76	84	4	4	NUM
archive-397	76	85	)	)	PUNCT
archive-397	76	86	in	in	ADP
archive-397	76	87	srv	srv	PROPN
archive-397	76	88	count	count	NOUN
archive-397	76	89	0	0	NUM
archive-397	76	90	29	29	NUM
archive-397	76	91	same	same	ADJ
archive-397	76	92	srv	srv	NOUN
archive-397	76	93	rate	rate	NOUN
archive-397	76	94	percentage	percentage	NOUN
archive-397	76	95	of	of	ADP
archive-397	76	96	connections	connection	NOUN
archive-397	76	97	(	(	PUNCT
archive-397	76	98	same	same	ADJ
archive-397	76	99	services	service	NOUN
archive-397	76	100	)	)	PUNCT
archive-397	76	101	1	1	NUM
archive-397	76	102	30	30	NUM
archive-397	76	103	diff	diff	NOUN
archive-397	76	104	srv	srv	PROPN
archive-397	76	105	rate	rate	NOUN
archive-397	76	106	percentage	percentage	NOUN
archive-397	76	107	of	of	ADP
archive-397	76	108	connections	connection	NOUN
archive-397	76	109	(	(	PUNCT
archive-397	76	110	different	different	ADJ
archive-397	76	111	services	service	NOUN
archive-397	76	112	)	)	PUNCT
archive-397	76	113	0	0	NUM
archive-397	76	114	31	31	NUM
archive-397	76	115	srv	srv	PROPN
archive-397	76	116	diff	diff	NOUN
archive-397	76	117	host	host	NOUN
archive-397	76	118	rate	rate	NOUN
archive-397	76	119	percentage	percentage	NOUN
archive-397	76	120	of	of	ADP
archive-397	76	121	connections	connection	NOUN
archive-397	76	122	(	(	PUNCT
archive-397	76	123	different	different	ADJ
archive-397	76	124	destination	destination	NOUN
archive-397	76	125	)	)	PUNCT
archive-397	76	126	0	0	NUM
archive-397	76	127	table	table	NOUN
archive-397	76	128	4	4	NUM
archive-397	76	129	.	.	PUNCT
archive-397	76	130	network	network	NOUN
archive-397	76	131	connection	connection	NOUN
archive-397	76	132	host	host	NOUN
archive-397	76	133	traffic	traffic	NOUN
archive-397	76	134	features	feature	VERB
archive-397	76	135	att	att	PROPN
archive-397	76	136	.	.	PUNCT
archive-397	77	1	no	no	INTJ
archive-397	77	2	.	.	PUNCT
archive-397	77	3	attribute	attribute	NOUN
archive-397	77	4	name	name	NOUN
archive-397	77	5	description	description	NOUN
archive-397	77	6	sample	sample	NOUN
archive-397	77	7	data	data	PROPN
archive-397	77	8	32	32	NUM
archive-397	77	9	dst	dst	NOUN
archive-397	77	10	host	host	NOUN
archive-397	77	11	count	count	NOUN
archive-397	77	12	no	no	INTJ
archive-397	77	13	.	.	PUNCT
archive-397	78	1	of	of	ADP
archive-397	78	2	connections	connection	NOUN
archive-397	78	3	(	(	PUNCT
archive-397	78	4	same	same	ADJ
archive-397	78	5	destination	destination	NOUN
archive-397	78	6	)	)	PUNCT
archive-397	78	7	150	150	NUM
archive-397	78	8	33	33	NUM
archive-397	78	9	dst	dst	NOUN
archive-397	78	10	host	host	NOUN
archive-397	78	11	srv	srv	PROPN
archive-397	78	12	count	count	VERB
archive-397	78	13	no	no	INTJ
archive-397	78	14	.	.	PUNCT
archive-397	78	15	of	of	ADP
archive-397	78	16	connections	connection	NOUN
archive-397	78	17	(	(	PUNCT
archive-397	78	18	same	same	ADJ
archive-397	78	19	port	port	NOUN
archive-397	78	20	)	)	PUNCT
archive-397	78	21	25	25	NUM
archive-397	78	22	34	34	NUM
archive-397	78	23	dst	dst	NOUN
archive-397	78	24	host	host	NOUN
archive-397	78	25	same	same	ADJ
archive-397	78	26	srv	srv	PROPN
archive-397	78	27	rate	rate	NOUN
archive-397	78	28	percentage	percentage	NOUN
archive-397	78	29	of	of	ADP
archive-397	78	30	connections	connection	NOUN
archive-397	78	31	(	(	PUNCT
archive-397	78	32	same	same	ADJ
archive-397	78	33	services	service	NOUN
archive-397	78	34	)	)	PUNCT
archive-397	78	35	in	in	ADP
archive-397	78	36	32	32	NUM
archive-397	78	37	0.17	0.17	NUM
archive-397	78	38	35	35	NUM
archive-397	78	39	dst	dst	NOUN
archive-397	78	40	host	host	NOUN
archive-397	78	41	diff	diff	PROPN
archive-397	78	42	srv	srv	PROPN
archive-397	78	43	rate	rate	NOUN
archive-397	78	44	percentage	percentage	NOUN
archive-397	78	45	of	of	ADP
archive-397	78	46	connections	connection	NOUN
archive-397	78	47	(	(	PUNCT
archive-397	78	48	different	different	ADJ
archive-397	78	49	services	service	NOUN
archive-397	78	50	)	)	PUNCT
archive-397	78	51	in	in	ADP
archive-397	78	52	32	32	NUM
archive-397	78	53	0.03	0.03	NUM
archive-397	78	54	36	36	NUM
archive-397	78	55	dst	dst	NOUN
archive-397	78	56	host	host	NOUN
archive-397	78	57	same	same	ADJ
archive-397	78	58	src	src	NOUN
archive-397	78	59	port	port	NOUN
archive-397	78	60	rate	rate	NOUN
archive-397	78	61	percentage	percentage	NOUN
archive-397	78	62	of	of	ADP
archive-397	78	63	connections	connection	NOUN
archive-397	78	64	(	(	PUNCT
archive-397	78	65	same	same	ADJ
archive-397	78	66	source	source	NOUN
archive-397	78	67	)	)	PUNCT
archive-397	78	68	in	in	ADP
archive-397	78	69	33	33	NUM
archive-397	78	70	0.17	0.17	NUM
archive-397	78	71	37	37	NUM
archive-397	78	72	dst	dst	NOUN
archive-397	78	73	host	host	NOUN
archive-397	78	74	srv	srv	PROPN
archive-397	78	75	diff	diff	PROPN
archive-397	78	76	host	host	NOUN
archive-397	78	77	rate	rate	NOUN
archive-397	78	78	percentage	percentage	NOUN
archive-397	78	79	of	of	ADP
archive-397	78	80	connections	connection	NOUN
archive-397	78	81	(	(	PUNCT
archive-397	78	82	different	different	ADJ
archive-397	78	83	destination	destination	NOUN
archive-397	78	84	)	)	PUNCT
archive-397	78	85	in	in	ADP
archive-397	78	86	33	33	NUM
archive-397	78	87	0	0	NUM
archive-397	78	88	38	38	NUM
archive-397	78	89	dst	dst	NOUN
archive-397	78	90	host	host	NOUN
archive-397	78	91	serror	serror	NOUN
archive-397	78	92	rate	rate	NOUN
archive-397	78	93	percentage	percentage	NOUN
archive-397	78	94	of	of	ADP
archive-397	78	95	connections	connection	NOUN
archive-397	78	96	(	(	PUNCT
archive-397	78	97	active	active	ADJ
archive-397	78	98	flag	flag	NOUN
archive-397	78	99	4	4	NUM
archive-397	78	100	)	)	PUNCT
archive-397	78	101	in	in	ADP
archive-397	78	102	32	32	NUM
archive-397	78	103	0	0	NUM
archive-397	78	104	39	39	NUM
archive-397	78	105	dst	dst	NOUN
archive-397	78	106	host	host	NOUN
archive-397	78	107	srv	srv	PROPN
archive-397	78	108	serror	serror	NOUN
archive-397	78	109	rate	rate	NOUN
archive-397	78	110	percentage	percentage	NOUN
archive-397	78	111	of	of	ADP
archive-397	78	112	connections	connection	NOUN
archive-397	78	113	(	(	PUNCT
archive-397	78	114	active	active	ADJ
archive-397	78	115	flag	flag	NOUN
archive-397	78	116	4	4	NUM
archive-397	78	117	)	)	PUNCT
archive-397	78	118	in	in	ADP
archive-397	78	119	33	33	NUM
archive-397	78	120	0	0	NUM
archive-397	78	121	continued	continue	VERB
archive-397	78	122	on	on	ADP
archive-397	78	123	next	next	ADJ
archive-397	78	124	page	page	NOUN
archive-397	78	125	pg	pg	NOUN
archive-397	78	126	.	.	PUNCT
archive-397	79	1	484	484	NUM
archive-397	79	2	yassin	yassin	PROPN
archive-397	79	3	/	/	PUNCT
archive-397	79	4	the	the	DET
archive-397	79	5	academic	academic	ADJ
archive-397	79	6	research	research	NOUN
archive-397	79	7	community	community	NOUN
archive-397	79	8	publication	publication	NOUN
archive-397	79	9	table	table	NOUN
archive-397	79	10	4	4	NUM
archive-397	79	11	continued	continue	VERB
archive-397	79	12	40	40	NUM
archive-397	79	13	dst	dst	NOUN
archive-397	79	14	host	host	NOUN
archive-397	79	15	rerror	rerror	NOUN
archive-397	79	16	rate	rate	NOUN
archive-397	79	17	percentage	percentage	NOUN
archive-397	79	18	of	of	ADP
archive-397	79	19	connections	connection	NOUN
archive-397	79	20	(	(	PUNCT
archive-397	79	21	active	active	ADJ
archive-397	79	22	flag	flag	NOUN
archive-397	79	23	4	4	NUM
archive-397	79	24	rej	rej	NOUN
archive-397	79	25	)	)	PUNCT
archive-397	79	26	in	in	ADP
archive-397	79	27	32	32	NUM
archive-397	79	28	0.05	0.05	NUM
archive-397	79	29	41	41	NUM
archive-397	79	30	dst	dst	NOUN
archive-397	79	31	host	host	NOUN
archive-397	79	32	srv	srv	PROPN
archive-397	79	33	rerror	rerror	NOUN
archive-397	79	34	rate	rate	NOUN
archive-397	79	35	percentage	percentage	NOUN
archive-397	79	36	of	of	ADP
archive-397	79	37	connections	connection	NOUN
archive-397	79	38	(	(	PUNCT
archive-397	79	39	active	active	ADJ
archive-397	79	40	flag	flag	NOUN
archive-397	79	41	4	4	NUM
archive-397	79	42	rej	rej	NOUN
archive-397	79	43	)	)	PUNCT
archive-397	79	44	in	in	ADP
archive-397	79	45	33	33	NUM
archive-397	79	46	0	0	NUM
archive-397	79	47	4	4	NUM
archive-397	79	48	.	.	PUNCT
archive-397	79	49	feature	feature	NOUN
archive-397	79	50	selection	selection	NOUN
archive-397	79	51	the	the	DET
archive-397	79	52	process	process	NOUN
archive-397	79	53	of	of	ADP
archive-397	79	54	getting	get	VERB
archive-397	79	55	and	and	CCONJ
archive-397	79	56	accessing	access	VERB
archive-397	79	57	small	small	ADJ
archive-397	79	58	and	and	CCONJ
archive-397	79	59	suitable	suitable	ADJ
archive-397	79	60	data	datum	NOUN
archive-397	79	61	from	from	ADP
archive-397	79	62	collection	collection	NOUN
archive-397	79	63	of	of	ADP
archive-397	79	64	large	large	ADJ
archive-397	79	65	data	datum	NOUN
archive-397	79	66	is	be	AUX
archive-397	79	67	called	call	VERB
archive-397	79	68	features	feature	NOUN
archive-397	79	69	selection	selection	NOUN
archive-397	79	70	which	which	PRON
archive-397	79	71	has	have	VERB
archive-397	79	72	a	a	DET
archive-397	79	73	unique	unique	ADJ
archive-397	79	74	interest	interest	NOUN
archive-397	79	75	inside	inside	ADP
archive-397	79	76	the	the	DET
archive-397	79	77	data	data	NOUN
archive-397	79	78	mining	mining	NOUN
archive-397	79	79	field	field	NOUN
archive-397	79	80	.	.	PUNCT
archive-397	80	1	it	it	PRON
archive-397	80	2	’s	’	VERB
archive-397	80	3	significant	significant	ADJ
archive-397	80	4	part	part	NOUN
archive-397	80	5	to	to	PART
archive-397	80	6	get	get	VERB
archive-397	80	7	more	more	ADJ
archive-397	80	8	performance	performance	NOUN
archive-397	80	9	and	and	CCONJ
archive-397	80	10	accurate	accurate	ADJ
archive-397	80	11	results	result	NOUN
archive-397	80	12	for	for	ADP
archive-397	80	13	selected	select	VERB
archive-397	80	14	data	datum	NOUN
archive-397	80	15	.	.	PUNCT
archive-397	81	1	feature	feature	NOUN
archive-397	81	2	choosing	choosing	NOUN
archive-397	81	3	,	,	PUNCT
archive-397	81	4	as	as	ADP
archive-397	81	5	a	a	DET
archive-397	81	6	process	process	NOUN
archive-397	81	7	of	of	ADP
archive-397	81	8	selecting	select	VERB
archive-397	81	9	related	relate	VERB
archive-397	81	10	depended	depended	ADJ
archive-397	81	11	features	feature	NOUN
archive-397	81	12	for	for	ADP
archive-397	81	13	novel	novel	ADJ
archive-397	81	14	features	feature	NOUN
archive-397	81	15	based	base	VERB
archive-397	81	16	on	on	ADP
archive-397	81	17	some	some	DET
archive-397	81	18	defined	define	VERB
archive-397	81	19	conditions	condition	NOUN
archive-397	81	20	,	,	PUNCT
archive-397	81	21	which	which	PRON
archive-397	81	22	may	may	AUX
archive-397	81	23	be	be	AUX
archive-397	81	24	considered	consider	VERB
archive-397	81	25	as	as	ADP
archive-397	81	26	a	a	DET
archive-397	81	27	decrease	decrease	NOUN
archive-397	81	28	technique	technique	NOUN
archive-397	81	29	for	for	ADP
archive-397	81	30	data	datum	NOUN
archive-397	81	31	mining	mining	NOUN
archive-397	81	32	.	.	PUNCT
archive-397	82	1	feature	feature	NOUN
archive-397	82	2	selection	selection	NOUN
archive-397	82	3	process	process	NOUN
archive-397	82	4	contains	contain	VERB
archive-397	82	5	four	four	NUM
archive-397	82	6	primary	primary	ADJ
archive-397	82	7	operations	operation	NOUN
archive-397	82	8	:	:	PUNCT
archive-397	82	9	subset	subset	NOUN
archive-397	82	10	generation	generation	NOUN
archive-397	82	11	,	,	PUNCT
archive-397	82	12	subset	subset	ADJ
archive-397	82	13	estimation	estimation	NOUN
archive-397	82	14	,	,	PUNCT
archive-397	82	15	stopping	stop	VERB
archive-397	82	16	criteria	criterion	NOUN
archive-397	82	17	,	,	PUNCT
archive-397	82	18	and	and	CCONJ
archive-397	82	19	final	final	ADJ
archive-397	82	20	results	result	NOUN
archive-397	82	21	testing	testing	NOUN
archive-397	82	22	and	and	CCONJ
archive-397	82	23	verification	verification	NOUN
archive-397	82	24	.	.	PUNCT
archive-397	83	1	the	the	DET
archive-397	83	2	subset	subset	NOUN
archive-397	83	3	generation	generation	NOUN
archive-397	83	4	services	service	NOUN
archive-397	83	5	is	be	AUX
archive-397	83	6	a	a	DET
archive-397	83	7	process	process	NOUN
archive-397	83	8	act	act	NOUN
archive-397	83	9	as	as	ADP
archive-397	83	10	search	search	NOUN
archive-397	83	11	method	method	NOUN
archive-397	83	12	that	that	PRON
archive-397	83	13	defined	define	VERB
archive-397	83	14	the	the	DET
archive-397	83	15	strategy	strategy	NOUN
archive-397	83	16	of	of	ADP
archive-397	83	17	the	the	DET
archive-397	83	18	search	search	NOUN
archive-397	83	19	based	base	VERB
archive-397	83	20	on	on	ADP
archive-397	83	21	specific	specific	ADJ
archive-397	83	22	candidate	candidate	NOUN
archive-397	83	23	feature	feature	NOUN
archive-397	83	24	subsets	subset	NOUN
archive-397	83	25	.	.	PUNCT
archive-397	84	1	the	the	DET
archive-397	84	2	candidate	candidate	NOUN
archive-397	84	3	partition	partition	NOUN
archive-397	84	4	is	be	AUX
archive-397	84	5	evaluated	evaluate	VERB
archive-397	84	6	and	and	CCONJ
archive-397	84	7	compared	compare	VERB
archive-397	84	8	with	with	ADP
archive-397	84	9	the	the	DET
archive-397	84	10	earlier	early	ADJ
archive-397	84	11	one	one	NUM
archive-397	84	12	which	which	PRON
archive-397	84	13	removed	remove	VERB
archive-397	84	14	if	if	SCONJ
archive-397	84	15	the	the	DET
archive-397	84	16	new	new	ADJ
archive-397	84	17	one	one	NOUN
archive-397	84	18	is	be	AUX
archive-397	84	19	better	well	ADV
archive-397	84	20	based	base	VERB
archive-397	84	21	on	on	ADP
archive-397	84	22	evaluation	evaluation	NOUN
archive-397	84	23	criteria	criterion	NOUN
archive-397	84	24	,	,	PUNCT
archive-397	84	25	this	this	DET
archive-397	84	26	process	process	NOUN
archive-397	84	27	is	be	AUX
archive-397	84	28	repeated	repeat	VERB
archive-397	84	29	until	until	SCONJ
archive-397	84	30	a	a	DET
archive-397	84	31	specific	specific	ADJ
archive-397	84	32	stooping	stoop	VERB
archive-397	84	33	factor	factor	NOUN
archive-397	84	34	completed	complete	VERB
archive-397	84	35	.	.	PUNCT
archive-397	85	1	the	the	DET
archive-397	85	2	feature	feature	NOUN
archive-397	85	3	selection	selection	NOUN
archive-397	85	4	method	method	NOUN
archive-397	85	5	can	can	AUX
archive-397	85	6	be	be	AUX
archive-397	85	7	used	use	VERB
archive-397	85	8	in	in	ADP
archive-397	85	9	many	many	ADJ
archive-397	85	10	artificial	artificial	ADJ
archive-397	85	11	area	area	NOUN
archive-397	85	12	with	with	ADP
archive-397	85	13	three	three	NUM
archive-397	85	14	main	main	ADJ
archive-397	85	15	categories	category	NOUN
archive-397	85	16	(	(	PUNCT
archive-397	85	17	witten	witten	PROPN
archive-397	85	18	,	,	PUNCT
archive-397	85	19	frank	frank	PROPN
archive-397	85	20	&	&	CCONJ
archive-397	85	21	hall	hall	PROPN
archive-397	85	22	,	,	PUNCT
archive-397	85	23	2005	2005	NUM
archive-397	85	24	)	)	PUNCT
archive-397	85	25	the	the	DET
archive-397	85	26	filter	filter	NOUN
archive-397	85	27	,	,	PUNCT
archive-397	85	28	wrapper	wrapper	NOUN
archive-397	85	29	,	,	PUNCT
archive-397	85	30	and	and	CCONJ
archive-397	85	31	hybrid	hybrid	NOUN
archive-397	85	32	models	model	NOUN
archive-397	85	33	.	.	PUNCT
archive-397	86	1	features	feature	NOUN
archive-397	86	2	selection	selection	NOUN
archive-397	86	3	has	have	VERB
archive-397	86	4	many	many	ADJ
archive-397	86	5	benefits	benefit	NOUN
archive-397	86	6	:	:	PUNCT
archive-397	86	7	overfitting	overfitte	VERB
archive-397	86	8	reduction	reduction	NOUN
archive-397	86	9	:	:	PUNCT
archive-397	86	10	less	less	ADV
archive-397	86	11	redundant	redundant	ADJ
archive-397	86	12	data	datum	NOUN
archive-397	86	13	means	mean	VERB
archive-397	86	14	less	less	ADJ
archive-397	86	15	opportunity	opportunity	NOUN
archive-397	86	16	to	to	PART
archive-397	86	17	make	make	VERB
archive-397	86	18	decisions	decision	NOUN
archive-397	86	19	based	base	VERB
archive-397	86	20	on	on	ADP
archive-397	86	21	noise	noise	NOUN
archive-397	86	22	.	.	PUNCT
archive-397	87	1	accuracy	accuracy	NOUN
archive-397	87	2	is	be	AUX
archive-397	87	3	increased	increase	VERB
archive-397	87	4	:	:	PUNCT
archive-397	87	5	less	less	ADV
archive-397	87	6	misleading	misleading	ADJ
archive-397	87	7	data	datum	NOUN
archive-397	87	8	means	mean	VERB
archive-397	87	9	modeling	modeling	NOUN
archive-397	87	10	accuracy	accuracy	NOUN
archive-397	87	11	improves	improve	VERB
archive-397	87	12	.	.	PUNCT
archive-397	88	1	training	training	NOUN
archive-397	88	2	time	time	NOUN
archive-397	88	3	reduction	reduction	NOUN
archive-397	88	4	:	:	PUNCT
archive-397	88	5	less	less	ADJ
archive-397	88	6	data	datum	NOUN
archive-397	88	7	means	mean	VERB
archive-397	88	8	that	that	SCONJ
archive-397	88	9	algorithms	algorithm	NOUN
archive-397	88	10	train	train	VERB
archive-397	88	11	faster	fast	ADV
archive-397	88	12	.	.	PUNCT
archive-397	89	1	4.1	4.1	NUM
archive-397	89	2	.	.	PUNCT
archive-397	90	1	genetic	genetic	ADJ
archive-397	90	2	algorithms	algorithms	PROPN
archive-397	90	3	ga	ga	PROPN
archive-397	90	4	is	be	AUX
archive-397	90	5	a	a	DET
archive-397	90	6	general	general	ADJ
archive-397	90	7	random	random	ADJ
archive-397	90	8	search	search	NOUN
archive-397	90	9	method	method	NOUN
archive-397	90	10	,	,	PUNCT
archive-397	90	11	able	able	ADJ
archive-397	90	12	to	to	PART
archive-397	90	13	discovering	discover	VERB
archive-397	90	14	large	large	ADJ
archive-397	90	15	search	search	NOUN
archive-397	90	16	spaces	space	NOUN
archive-397	90	17	efficiently	efficiently	ADV
archive-397	90	18	,	,	PUNCT
archive-397	90	19	which	which	PRON
archive-397	90	20	used	use	VERB
archive-397	90	21	basically	basically	ADV
archive-397	90	22	for	for	ADP
archive-397	90	23	attribute	attribute	NOUN
archive-397	90	24	selection	selection	NOUN
archive-397	90	25	.	.	PUNCT
archive-397	91	1	genetic	genetic	ADJ
archive-397	91	2	algorithms	algorithm	NOUN
archive-397	91	3	(	(	PUNCT
archive-397	91	4	ga	ga	NOUN
archive-397	91	5	)	)	PUNCT
archive-397	91	6	search	search	NOUN
archive-397	91	7	from	from	ADP
archive-397	91	8	a	a	DET
archive-397	91	9	population	population	NOUN
archive-397	91	10	of	of	ADP
archive-397	91	11	points	point	NOUN
archive-397	91	12	to	to	PART
archive-397	91	13	find	find	VERB
archive-397	91	14	a	a	DET
archive-397	91	15	global	global	ADJ
archive-397	91	16	maximum	maximum	NOUN
archive-397	91	17	or	or	CCONJ
archive-397	91	18	minimum	minimum	NOUN
archive-397	91	19	of	of	ADP
archive-397	91	20	a	a	DET
archive-397	91	21	function	function	NOUN
archive-397	91	22	.	.	PUNCT
archive-397	92	1	unlike	unlike	ADP
archive-397	92	2	many	many	ADJ
archive-397	92	3	other	other	ADJ
archive-397	92	4	local	local	ADJ
archive-397	92	5	search	search	NOUN
archive-397	92	6	techniques	technique	NOUN
archive-397	92	7	,	,	PUNCT
archive-397	92	8	there	there	PRON
archive-397	92	9	is	be	VERB
archive-397	92	10	always	always	ADV
archive-397	92	11	a	a	DET
archive-397	92	12	chance	chance	NOUN
archive-397	92	13	of	of	ADP
archive-397	92	14	escaping	escape	VERB
archive-397	92	15	from	from	ADP
archive-397	92	16	local	local	ADJ
archive-397	92	17	maxima	maxima	NOUN
archive-397	92	18	or	or	CCONJ
archive-397	92	19	minima	minima	PROPN
archive-397	92	20	.	.	PUNCT
archive-397	93	1	the	the	DET
archive-397	93	2	gas	gas	NOUN
archive-397	93	3	algorithm	algorithm	NOUN
archive-397	93	4	is	be	AUX
archive-397	93	5	a	a	DET
archive-397	93	6	simulated	simulate	VERB
archive-397	93	7	of	of	ADP
archive-397	93	8	the	the	DET
archive-397	93	9	natural	natural	ADJ
archive-397	93	10	systems	system	NOUN
archive-397	93	11	for	for	ADP
archive-397	93	12	evolutions	evolution	NOUN
archive-397	93	13	as	as	ADP
archive-397	93	14	the	the	DET
archive-397	93	15	principle	principle	NOUN
archive-397	93	16	of	of	ADP
archive-397	93	17	“	"	PUNCT
archive-397	93	18	survival	survival	NOUN
archive-397	93	19	of	of	ADP
archive-397	93	20	the	the	DET
archive-397	93	21	fittest	fit	ADJ
archive-397	93	22	”	"	PUNCT
archive-397	93	23	given	give	VERB
archive-397	93	24	by	by	ADP
archive-397	93	25	charles	charles	PROPN
archive-397	93	26	darwin	darwin	PROPN
archive-397	93	27	(	(	PUNCT
archive-397	93	28	goldberg	goldberg	PROPN
archive-397	93	29	,	,	PUNCT
archive-397	93	30	1989	1989	NUM
archive-397	93	31	)	)	PUNCT
archive-397	93	32	.	.	PUNCT
archive-397	94	1	the	the	DET
archive-397	94	2	processes	process	NOUN
archive-397	94	3	of	of	ADP
archive-397	94	4	the	the	DET
archive-397	94	5	genetic	genetic	ADJ
archive-397	94	6	algorithm	algorithm	NOUN
archive-397	94	7	are	be	AUX
archive-397	94	8	:	:	PUNCT
archive-397	94	9	reproduction	reproduction	NOUN
archive-397	94	10	:	:	PUNCT
archive-397	94	11	selection	selection	NOUN
archive-397	94	12	process	process	NOUN
archive-397	94	13	for	for	ADP
archive-397	94	14	subset	subset	NOUN
archive-397	94	15	of	of	ADP
archive-397	94	16	the	the	DET
archive-397	94	17	input	input	NOUN
archive-397	94	18	attributes	attribute	NOUN
archive-397	94	19	(	(	PUNCT
archive-397	94	20	better	well	ADJ
archive-397	94	21	string	string	NOUN
archive-397	94	22	)	)	PUNCT
archive-397	94	23	.	.	PUNCT
archive-397	95	1	crossover	crossover	NOUN
archive-397	95	2	:	:	PUNCT
archive-397	95	3	combination	combination	NOUN
archive-397	95	4	process	process	NOUN
archive-397	95	5	for	for	ADP
archive-397	95	6	the	the	DET
archive-397	95	7	selected	select	VERB
archive-397	95	8	attributes	attribute	NOUN
archive-397	95	9	for	for	ADP
archive-397	95	10	generating	generate	VERB
archive-397	95	11	better	well	ADJ
archive-397	95	12	offspring	offspring	NOUN
archive-397	95	13	’s	’s	NOUN
archive-397	95	14	.	.	PUNCT
archive-397	96	1	mutation	mutation	NOUN
archive-397	96	2	:	:	PUNCT
archive-397	96	3	modification	modification	NOUN
archive-397	96	4	process	process	NOUN
archive-397	96	5	for	for	ADP
archive-397	96	6	the	the	DET
archive-397	96	7	local	local	ADJ
archive-397	96	8	string	string	NOUN
archive-397	96	9	attribute	attribute	NOUN
archive-397	96	10	for	for	ADP
archive-397	96	11	creating	create	VERB
archive-397	96	12	a	a	DET
archive-397	96	13	better	well	ADJ
archive-397	96	14	string	string	NOUN
archive-397	96	15	.	.	PUNCT
archive-397	97	1	the	the	DET
archive-397	97	2	string	string	NOUN
archive-397	97	3	attribute	attribute	NOUN
archive-397	97	4	have	have	VERB
archive-397	97	5	two	two	NUM
archive-397	97	6	binary	binary	ADJ
archive-397	97	7	bit	bit	NOUN
archive-397	97	8	values	value	NOUN
archive-397	97	9	,	,	PUNCT
archive-397	97	10	1	1	NUM
archive-397	97	11	represent	represent	AUX
archive-397	97	12	selected	select	VERB
archive-397	97	13	and	and	CCONJ
archive-397	97	14	0	0	NUM
archive-397	97	15	represent	represent	VERB
archive-397	97	16	non	non	ADJ
archive-397	97	17	-	-	ADJ
archive-397	97	18	selected	select	VERB
archive-397	97	19	,	,	PUNCT
archive-397	97	20	while	while	SCONJ
archive-397	97	21	the	the	DET
archive-397	97	22	population	population	NOUN
archive-397	97	23	is	be	AUX
archive-397	97	24	evaluated	evaluate	VERB
archive-397	97	25	and	and	CCONJ
archive-397	97	26	tested	test	VERB
archive-397	97	27	for	for	ADP
archive-397	97	28	termination	termination	NOUN
archive-397	97	29	of	of	ADP
archive-397	97	30	the	the	DET
archive-397	97	31	algorithm	algorithm	NOUN
archive-397	97	32	at	at	ADP
archive-397	97	33	each	each	DET
archive-397	97	34	generation	generation	NOUN
archive-397	97	35	.	.	PUNCT
archive-397	98	1	when	when	SCONJ
archive-397	98	2	the	the	DET
archive-397	98	3	criteria	criterion	NOUN
archive-397	98	4	of	of	ADP
archive-397	98	5	the	the	DET
archive-397	98	6	termination	termination	NOUN
archive-397	98	7	are	be	AUX
archive-397	98	8	not	not	PART
archive-397	98	9	accomplished	accomplish	VERB
archive-397	98	10	,	,	PUNCT
archive-397	98	11	the	the	DET
archive-397	98	12	population	population	NOUN
archive-397	98	13	is	be	AUX
archive-397	98	14	run	run	VERB
archive-397	98	15	based	base	VERB
archive-397	98	16	on	on	ADP
archive-397	98	17	the	the	DET
archive-397	98	18	three	three	NUM
archive-397	98	19	ga	ga	NOUN
archive-397	98	20	processes	process	NOUN
archive-397	98	21	and	and	CCONJ
archive-397	98	22	then	then	ADV
archive-397	98	23	checked	check	VERB
archive-397	98	24	.	.	PUNCT
archive-397	99	1	this	this	DET
archive-397	99	2	process	process	NOUN
archive-397	99	3	is	be	AUX
archive-397	99	4	repeated	repeat	VERB
archive-397	99	5	for	for	ADP
archive-397	99	6	specified	specified	ADJ
archive-397	99	7	number	number	NOUN
archive-397	99	8	of	of	ADP
archive-397	99	9	generation	generation	NOUN
archive-397	99	10	.	.	PUNCT
archive-397	100	1	4.2	4.2	NUM
archive-397	100	2	.	.	PUNCT
archive-397	101	1	weka	weka	PROPN
archive-397	101	2	tool	tool	PROPN
archive-397	101	3	weka	weka	PROPN
archive-397	101	4	(	(	PUNCT
archive-397	101	5	waikato	waikato	NOUN
archive-397	101	6	environment	environment	NOUN
archive-397	101	7	for	for	ADP
archive-397	101	8	knowledge	knowledge	NOUN
archive-397	101	9	analysis	analysis	NOUN
archive-397	101	10	)	)	PUNCT
archive-397	101	11	is	be	AUX
archive-397	101	12	a	a	DET
archive-397	101	13	freeware	freeware	NOUN
archive-397	101	14	tool	tool	NOUN
archive-397	101	15	designed	design	VERB
archive-397	101	16	for	for	ADP
archive-397	101	17	machine	machine	NOUN
archive-397	101	18	learning	learning	NOUN
archive-397	101	19	and	and	CCONJ
archive-397	101	20	preprocessing	preprocesse	VERB
archive-397	101	21	tools	tool	NOUN
archive-397	101	22	such	such	ADJ
archive-397	101	23	as	as	ADP
archive-397	101	24	classification	classification	NOUN
archive-397	101	25	,	,	PUNCT
archive-397	101	26	regression	regression	NOUN
archive-397	101	27	,	,	PUNCT
archive-397	101	28	clustering	clustering	NOUN
archive-397	101	29	,	,	PUNCT
archive-397	101	30	association	association	NOUN
archive-397	101	31	rules	rule	NOUN
archive-397	101	32	,	,	PUNCT
archive-397	101	33	and	and	CCONJ
archive-397	101	34	visualization	visualization	NOUN
archive-397	101	35	(	(	PUNCT
archive-397	101	36	dhanjibhai	dhanjibhai	PROPN
archive-397	101	37	serasiya	serasiya	PROPN
archive-397	101	38	&	&	CCONJ
archive-397	101	39	chaudhary	chaudhary	PROPN
archive-397	101	40	,	,	PUNCT
archive-397	101	41	2012	2012	NUM
archive-397	101	42	)	)	PUNCT
archive-397	101	43	.	.	PUNCT
archive-397	102	1	pg	pg	INTJ
archive-397	102	2	.	.	PUNCT
archive-397	103	1	485	485	NUM
archive-397	103	2	yassin	yassin	PROPN
archive-397	103	3	/	/	PUNCT
archive-397	103	4	the	the	DET
archive-397	103	5	academic	academic	ADJ
archive-397	103	6	research	research	NOUN
archive-397	103	7	community	community	NOUN
archive-397	103	8	publication	publication	NOUN
archive-397	103	9	4.3	4.3	NUM
archive-397	103	10	.	.	PUNCT
archive-397	103	11	feature	feature	NOUN
archive-397	103	12	selection	selection	NOUN
archive-397	103	13	algorithm	algorithm	NOUN
archive-397	103	14	the	the	DET
archive-397	103	15	feature	feature	NOUN
archive-397	103	16	selection	selection	NOUN
archive-397	103	17	algorithm	algorithm	NOUN
archive-397	103	18	contains	contain	VERB
archive-397	103	19	many	many	ADJ
archive-397	103	20	steps	step	NOUN
archive-397	103	21	to	to	PART
archive-397	103	22	select	select	VERB
archive-397	103	23	the	the	DET
archive-397	103	24	best	well	ADV
archive-397	103	25	related	relate	VERB
archive-397	103	26	features	feature	NOUN
archive-397	103	27	based	base	VERB
archive-397	103	28	on	on	ADP
archive-397	103	29	ga	ga	PROPN
archive-397	103	30	algorithm	algorithm	NOUN
archive-397	103	31	as	as	SCONJ
archive-397	103	32	shown	show	VERB
archive-397	103	33	in	in	ADP
archive-397	103	34	figure	figure	NOUN
archive-397	103	35	.	.	PUNCT
archive-397	104	1	1	1	NUM
archive-397	104	2	.	.	X
archive-397	104	3	4.4	4.4	NUM
archive-397	104	4	.	.	PUNCT
archive-397	104	5	selected	select	VERB
archive-397	104	6	attributes	attribute	VERB
archive-397	104	7	the	the	DET
archive-397	104	8	selected	select	VERB
archive-397	104	9	attributes	attribute	NOUN
archive-397	104	10	are	be	AUX
archive-397	104	11	(	(	PUNCT
archive-397	104	12	15	15	NUM
archive-397	104	13	):	):	PUNCT
archive-397	104	14	service	service	NOUN
archive-397	104	15	,	,	PUNCT
archive-397	104	16	flag	flag	NOUN
archive-397	104	17	,	,	PUNCT
archive-397	104	18	src	src	NOUN
archive-397	104	19	bytes	byte	NOUN
archive-397	104	20	,	,	PUNCT
archive-397	104	21	dst	dst	NOUN
archive-397	104	22	bytes	byte	NOUN
archive-397	104	23	,	,	PUNCT
archive-397	104	24	logged	log	VERB
archive-397	104	25	in	in	ADP
archive-397	104	26	,	,	PUNCT
archive-397	104	27	num	num	ADJ
archive-397	104	28	root	root	NOUN
archive-397	104	29	,	,	PUNCT
archive-397	104	30	num	num	ADJ
archive-397	104	31	shells	shell	NOUN
archive-397	104	32	,	,	PUNCT
archive-397	104	33	serror	serror	NOUN
archive-397	104	34	rate	rate	NOUN
archive-397	104	35	,	,	PUNCT
archive-397	104	36	srv	srv	PROPN
archive-397	104	37	serror	serror	NOUN
archive-397	104	38	rate	rate	NOUN
archive-397	104	39	,	,	PUNCT
archive-397	104	40	same	same	ADJ
archive-397	104	41	srv	srv	PROPN
archive-397	104	42	rate	rate	NOUN
archive-397	104	43	,	,	PUNCT
archive-397	104	44	diff	diff	PROPN
archive-397	104	45	srv	srv	PROPN
archive-397	104	46	rate	rate	NOUN
archive-397	104	47	,	,	PUNCT
archive-397	104	48	srv	srv	PROPN
archive-397	104	49	diff	diff	PROPN
archive-397	104	50	host	host	NOUN
archive-397	104	51	rate	rate	NOUN
archive-397	104	52	,	,	PUNCT
archive-397	104	53	dst	dst	PROPN
archive-397	104	54	host	host	PROPN
archive-397	104	55	same	same	ADJ
archive-397	104	56	src	src	NOUN
archive-397	104	57	port	port	NOUN
archive-397	104	58	rate	rate	NOUN
archive-397	104	59	,	,	PUNCT
archive-397	104	60	dst	dst	PROPN
archive-397	104	61	host	host	PROPN
archive-397	104	62	srv	srv	PROPN
archive-397	104	63	diff	diff	PROPN
archive-397	104	64	host	host	NOUN
archive-397	104	65	rate	rate	NOUN
archive-397	104	66	,	,	PUNCT
archive-397	104	67	dst	dst	NOUN
archive-397	104	68	host	host	NOUN
archive-397	104	69	serror	serror	NOUN
archive-397	104	70	rate	rate	NOUN
archive-397	104	71	.	.	PUNCT
archive-397	105	1	5	5	X
archive-397	105	2	.	.	X
archive-397	105	3	classification	classification	NOUN
archive-397	105	4	phase	phase	NOUN
archive-397	105	5	neural	neural	ADJ
archive-397	105	6	networks	network	NOUN
archive-397	105	7	have	have	AUX
archive-397	105	8	been	be	AUX
archive-397	105	9	ended	end	VERB
archive-397	105	10	up	up	ADP
archive-397	105	11	being	be	AUX
archive-397	105	12	fruitful	fruitful	ADJ
archive-397	105	13	in	in	ADP
archive-397	105	14	mapping	map	VERB
archive-397	105	15	input	input	NOUN
archive-397	105	16	patterns	pattern	NOUN
archive-397	105	17	to	to	ADP
archive-397	105	18	specific	specific	ADJ
archive-397	105	19	yields	yield	NOUN
archive-397	105	20	.	.	PUNCT
archive-397	106	1	finding	find	VERB
archive-397	106	2	a	a	DET
archive-397	106	3	legitimate	legitimate	ADJ
archive-397	106	4	arrangement	arrangement	NOUN
archive-397	106	5	of	of	ADP
archive-397	106	6	weights	weight	NOUN
archive-397	106	7	and	and	CCONJ
archive-397	106	8	topology	topology	NOUN
archive-397	106	9	for	for	ADP
archive-397	106	10	a	a	DET
archive-397	106	11	system	system	NOUN
archive-397	106	12	to	to	PART
archive-397	106	13	deliver	deliver	VERB
archive-397	106	14	a	a	DET
archive-397	106	15	craved	crave	VERB
archive-397	106	16	element	element	NOUN
archive-397	106	17	can	can	AUX
archive-397	106	18	be	be	AUX
archive-397	106	19	viewed	view	VERB
archive-397	106	20	as	as	ADP
archive-397	106	21	an	an	DET
archive-397	106	22	optimization	optimization	NOUN
archive-397	106	23	problem	problem	NOUN
archive-397	106	24	.	.	PUNCT
archive-397	107	1	figure	figure	NOUN
archive-397	107	2	1	1	NUM
archive-397	107	3	.	.	PUNCT
archive-397	108	1	feature	feature	NOUN
archive-397	108	2	selection	selection	NOUN
archive-397	108	3	steps	step	NOUN
archive-397	108	4	.	.	PUNCT
archive-397	109	1	evolutionary	evolutionary	ADJ
archive-397	109	2	algorithms	algorithm	NOUN
archive-397	109	3	(	(	PUNCT
archive-397	109	4	eas	ea	NOUN
archive-397	109	5	)	)	PUNCT
archive-397	109	6	have	have	AUX
archive-397	109	7	been	be	AUX
archive-397	109	8	appeared	appear	VERB
archive-397	109	9	to	to	PART
archive-397	109	10	be	be	AUX
archive-397	109	11	great	great	ADJ
archive-397	109	12	at	at	ADP
archive-397	109	13	optimization	optimization	NOUN
archive-397	109	14	problem	problem	NOUN
archive-397	109	15	solving	solve	VERB
archive-397	109	16	(	(	PUNCT
archive-397	109	17	rahmani	rahmani	ADJ
archive-397	109	18	,	,	PUNCT
archive-397	109	19	2008	2008	NUM
archive-397	109	20	)	)	PUNCT
archive-397	109	21	.	.	PUNCT
archive-397	110	1	the	the	DET
archive-397	110	2	artificial	artificial	ADJ
archive-397	110	3	neuron	neuron	NOUN
archive-397	110	4	is	be	AUX
archive-397	110	5	charchterized	charchterize	VERB
archive-397	110	6	by	by	ADP
archive-397	110	7	inputs	input	NOUN
archive-397	110	8	,	,	PUNCT
archive-397	110	9	having	have	VERB
archive-397	110	10	some	some	DET
archive-397	110	11	weights	weight	NOUN
archive-397	110	12	associated	associate	VERB
archive-397	110	13	with	with	ADP
archive-397	110	14	them	they	PRON
archive-397	110	15	;	;	PUNCT
archive-397	110	16	an	an	DET
archive-397	110	17	input	input	NOUN
archive-397	110	18	function	function	NOUN
archive-397	110	19	which	which	PRON
archive-397	110	20	calculates	calculate	VERB
archive-397	110	21	the	the	DET
archive-397	110	22	total	total	ADJ
archive-397	110	23	net	net	ADJ
archive-397	110	24	input	input	NOUN
archive-397	110	25	signal	signal	NOUN
archive-397	110	26	to	to	ADP
archive-397	110	27	a	a	DET
archive-397	110	28	neuron	neuron	NOUN
archive-397	110	29	coming	come	VERB
archive-397	110	30	from	from	ADP
archive-397	110	31	all	all	DET
archive-397	110	32	its	its	PRON
archive-397	110	33	inputs	input	NOUN
archive-397	110	34	;	;	PUNCT
archive-397	110	35	and	and	CCONJ
archive-397	110	36	an	an	DET
archive-397	110	37	activation	activation	NOUN
archive-397	110	38	function	function	NOUN
archive-397	110	39	,	,	PUNCT
archive-397	110	40	which	which	PRON
archive-397	110	41	determines	determine	VERB
archive-397	110	42	the	the	DET
archive-397	110	43	activation	activation	NOUN
archive-397	110	44	level	level	NOUN
archive-397	110	45	of	of	ADP
archive-397	110	46	a	a	DET
archive-397	110	47	neuron	neuron	NOUN
archive-397	110	48	as	as	ADP
archive-397	110	49	a	a	DET
archive-397	110	50	function	function	NOUN
archive-397	110	51	of	of	ADP
archive-397	110	52	its	its	PRON
archive-397	110	53	input	input	NOUN
archive-397	110	54	.	.	PUNCT
archive-397	111	1	an	an	DET
archive-397	111	2	output	output	NOUN
archive-397	111	3	signal	signal	NOUN
archive-397	111	4	equal	equal	ADJ
archive-397	111	5	to	to	ADP
archive-397	111	6	the	the	DET
archive-397	111	7	activation	activation	NOUN
archive-397	111	8	value	value	NOUN
archive-397	111	9	is	be	AUX
archive-397	111	10	produced	produce	VERB
archive-397	111	11	through	through	ADP
archive-397	111	12	the	the	DET
archive-397	111	13	output	output	NOUN
archive-397	111	14	of	of	ADP
archive-397	111	15	the	the	DET
archive-397	111	16	neuron	neuron	NOUN
archive-397	111	17	.	.	PUNCT
archive-397	112	1	the	the	DET
archive-397	112	2	evolutionary	evolutionary	ADJ
archive-397	112	3	algorithms	algorithm	NOUN
archive-397	112	4	(	(	PUNCT
archive-397	112	5	eas	ea	NOUN
archive-397	112	6	)	)	PUNCT
archive-397	112	7	can	can	AUX
archive-397	112	8	be	be	AUX
archive-397	112	9	used	use	VERB
archive-397	112	10	in	in	ADP
archive-397	112	11	optimization	optimization	NOUN
archive-397	112	12	problem	problem	NOUN
archive-397	112	13	solving	solve	VERB
archive-397	112	14	using	use	VERB
archive-397	112	15	the	the	DET
archive-397	112	16	artificial	artificial	ADJ
archive-397	112	17	neural	neural	ADJ
archive-397	112	18	network	network	NOUN
archive-397	112	19	(	(	PUNCT
archive-397	112	20	anns	anns	PROPN
archive-397	112	21	)	)	PUNCT
archive-397	112	22	with	with	ADP
archive-397	112	23	ideal	ideal	ADJ
archive-397	112	24	design	design	NOUN
archive-397	112	25	through	through	ADP
archive-397	112	26	changing	change	VERB
archive-397	112	27	the	the	DET
archive-397	112	28	weights	weight	NOUN
archive-397	112	29	,	,	PUNCT
archive-397	112	30	structure	structure	NOUN
archive-397	112	31	,	,	PUNCT
archive-397	112	32	and	and	CCONJ
archive-397	112	33	learning	learn	VERB
archive-397	112	34	parameters	parameter	NOUN
archive-397	112	35	(	(	PUNCT
archive-397	112	36	yu	yu	PROPN
archive-397	112	37	,	,	PUNCT
archive-397	112	38	wang	wang	PROPN
archive-397	112	39	,	,	PUNCT
archive-397	112	40	&	&	CCONJ
archive-397	112	41	xi	xi	PROPN
archive-397	112	42	,	,	PUNCT
archive-397	112	43	2008	2008	NUM
archive-397	112	44	)	)	PUNCT
archive-397	112	45	.	.	PUNCT
archive-397	113	1	one	one	NUM
archive-397	113	2	of	of	ADP
archive-397	113	3	the	the	DET
archive-397	113	4	recent	recent	ADJ
archive-397	113	5	techniques	technique	NOUN
archive-397	113	6	is	be	AUX
archive-397	113	7	gravitational	gravitational	ADJ
archive-397	113	8	search	search	NOUN
archive-397	113	9	algorithm	algorithm	NOUN
archive-397	113	10	(	(	PUNCT
archive-397	113	11	gsa	gsa	PROPN
archive-397	113	12	)	)	PUNCT
archive-397	113	13	.	.	PUNCT
archive-397	114	1	this	this	DET
archive-397	114	2	technique	technique	NOUN
archive-397	114	3	is	be	AUX
archive-397	114	4	considerd	considerd	ADJ
archive-397	114	5	as	as	ADP
archive-397	114	6	heuristic	heuristic	ADJ
archive-397	114	7	optimization	optimization	NOUN
archive-397	114	8	procedure	procedure	NOUN
archive-397	114	9	inspired	inspire	VERB
archive-397	114	10	from	from	ADP
archive-397	114	11	the	the	DET
archive-397	114	12	law	law	NOUN
archive-397	114	13	of	of	ADP
archive-397	114	14	gravity	gravity	NOUN
archive-397	114	15	and	and	CCONJ
archive-397	114	16	mass	mass	NOUN
archive-397	114	17	interactions	interaction	NOUN
archive-397	114	18	.	.	PUNCT
archive-397	115	1	it	it	PRON
archive-397	115	2	should	should	AUX
archive-397	115	3	be	be	AUX
archive-397	115	4	remarked	remark	VERB
archive-397	115	5	that	that	SCONJ
archive-397	115	6	this	this	DET
archive-397	115	7	algorithm	algorithm	NOUN
archive-397	115	8	has	have	VERB
archive-397	115	9	an	an	DET
archive-397	115	10	effiecient	effiecient	ADJ
archive-397	115	11	capability	capability	NOUN
archive-397	115	12	to	to	PART
archive-397	115	13	search	search	VERB
archive-397	115	14	for	for	ADP
archive-397	115	15	the	the	DET
archive-397	115	16	global	global	ADJ
archive-397	115	17	optimum	optimum	NOUN
archive-397	115	18	,	,	PUNCT
archive-397	115	19	but	but	CCONJ
archive-397	115	20	expierinces	expierince	VERB
archive-397	115	21	slow	slow	ADJ
archive-397	115	22	convergence	convergence	NOUN
archive-397	115	23	in	in	ADP
archive-397	115	24	the	the	DET
archive-397	115	25	last	last	ADJ
archive-397	115	26	iterations	iteration	NOUN
archive-397	115	27	.	.	PUNCT
archive-397	116	1	gsa	gsa	PROPN
archive-397	116	2	contains	contain	VERB
archive-397	116	3	a	a	DET
archive-397	116	4	collection	collection	NOUN
archive-397	116	5	of	of	ADP
archive-397	116	6	agents	agent	NOUN
archive-397	116	7	(	(	PUNCT
archive-397	116	8	candidate	candidate	NOUN
archive-397	116	9	solutions	solution	NOUN
archive-397	116	10	)	)	PUNCT
archive-397	116	11	that	that	PRON
archive-397	116	12	have	have	VERB
archive-397	116	13	masses	masse	NOUN
archive-397	116	14	related	relate	VERB
archive-397	116	15	with	with	ADP
archive-397	116	16	objective	objective	ADJ
archive-397	116	17	function	function	NOUN
archive-397	116	18	value	value	NOUN
archive-397	116	19	(	(	PUNCT
archive-397	116	20	fitness	fitness	NOUN
archive-397	116	21	)	)	PUNCT
archive-397	116	22	.	.	PUNCT
archive-397	117	1	all	all	DET
archive-397	117	2	masses	masse	NOUN
archive-397	117	3	attract	attract	VERB
archive-397	117	4	each	each	DET
archive-397	117	5	other	other	ADJ
archive-397	117	6	during	during	ADP
archive-397	117	7	the	the	DET
archive-397	117	8	generations	generation	NOUN
archive-397	117	9	by	by	ADP
archive-397	117	10	the	the	DET
archive-397	117	11	gravity	gravity	NOUN
archive-397	117	12	forces	force	NOUN
archive-397	117	13	between	between	ADP
archive-397	117	14	them	they	PRON
archive-397	117	15	,	,	PUNCT
archive-397	117	16	the	the	DET
archive-397	117	17	weightier	weighty	ADJ
archive-397	117	18	mass	mass	NOUN
archive-397	117	19	has	have	VERB
archive-397	117	20	the	the	DET
archive-397	117	21	bigger	big	ADJ
archive-397	117	22	attraction	attraction	NOUN
archive-397	117	23	force	force	NOUN
archive-397	117	24	.	.	PUNCT
archive-397	118	1	so	so	ADV
archive-397	118	2	,	,	PUNCT
archive-397	118	3	the	the	DET
archive-397	118	4	heaviest	heavy	ADJ
archive-397	118	5	mass	mass	NOUN
archive-397	118	6	attracted	attract	VERB
archive-397	118	7	the	the	DET
archive-397	118	8	other	other	ADJ
archive-397	118	9	masses	masse	NOUN
archive-397	118	10	with	with	ADP
archive-397	118	11	the	the	DET
archive-397	118	12	amount	amount	NOUN
archive-397	118	13	of	of	ADP
archive-397	118	14	space	space	NOUN
archive-397	118	15	between	between	ADP
archive-397	118	16	this	this	DET
archive-397	118	17	heaviest	heavy	ADJ
archive-397	118	18	mass	mass	NOUN
archive-397	118	19	and	and	CCONJ
archive-397	118	20	the	the	DET
archive-397	118	21	attracted	attract	VERB
archive-397	118	22	masses	masse	NOUN
archive-397	118	23	.	.	PUNCT
archive-397	119	1	gsa	gsa	PROPN
archive-397	119	2	agents	agents	PROPN
archive-397	119	3	consists	consist	VERB
archive-397	119	4	of	of	ADP
archive-397	119	5	four	four	NUM
archive-397	119	6	parameters	parameter	NOUN
archive-397	119	7	:	:	PUNCT
archive-397	119	8	position	position	NOUN
archive-397	119	9	,	,	PUNCT
archive-397	119	10	inertial	inertial	ADJ
archive-397	119	11	mass	mass	NOUN
archive-397	119	12	,	,	PUNCT
archive-397	119	13	active	active	ADJ
archive-397	119	14	gravitational	gravitational	ADJ
archive-397	119	15	mass	mass	NOUN
archive-397	119	16	and	and	CCONJ
archive-397	119	17	passive	passive	ADJ
archive-397	119	18	gravitational	gravitational	ADJ
archive-397	119	19	mass	mass	NOUN
archive-397	119	20	(	(	PUNCT
archive-397	119	21	mirjalili	mirjalili	NOUN
archive-397	119	22	,	,	PUNCT
archive-397	119	23	hashim	hashim	PROPN
archive-397	119	24	,	,	PUNCT
archive-397	119	25	&	&	CCONJ
archive-397	119	26	sardroudi	sardroudi	PROPN
archive-397	119	27	,	,	PUNCT
archive-397	119	28	2012	2012	NUM
archive-397	119	29	)	)	PUNCT
archive-397	119	30	the	the	DET
archive-397	119	31	position	position	NOUN
archive-397	119	32	of	of	ADP
archive-397	119	33	the	the	DET
archive-397	119	34	mass	mass	NOUN
archive-397	119	35	represents	represent	VERB
archive-397	119	36	the	the	DET
archive-397	119	37	solution	solution	NOUN
archive-397	119	38	of	of	ADP
archive-397	119	39	the	the	DET
archive-397	119	40	problem	problem	NOUN
archive-397	119	41	and	and	CCONJ
archive-397	119	42	the	the	DET
archive-397	119	43	inertial	inertial	NOUN
archive-397	119	44	and	and	CCONJ
archive-397	119	45	the	the	DET
archive-397	119	46	gravitational	gravitational	ADJ
archive-397	119	47	masses	masse	NOUN
archive-397	119	48	are	be	AUX
archive-397	119	49	determined	determine	VERB
archive-397	119	50	by	by	ADP
archive-397	119	51	the	the	DET
archive-397	119	52	objective	objective	ADJ
archive-397	119	53	function	function	NOUN
archive-397	119	54	.	.	PUNCT
archive-397	120	1	masses	masse	NOUN
archive-397	120	2	are	be	AUX
archive-397	120	3	attracted	attract	VERB
archive-397	120	4	by	by	ADP
archive-397	120	5	the	the	DET
archive-397	120	6	heaviest	heavy	ADJ
archive-397	120	7	mass	mass	NOUN
archive-397	120	8	.	.	PUNCT
archive-397	121	1	hence	hence	ADV
archive-397	121	2	,	,	PUNCT
archive-397	121	3	the	the	DET
archive-397	121	4	heaviest	heavy	ADJ
archive-397	121	5	mass	mass	NOUN
archive-397	121	6	presents	present	VERB
archive-397	121	7	an	an	DET
archive-397	121	8	optimum	optimum	ADJ
archive-397	121	9	pg	pg	NOUN
archive-397	121	10	.	.	PUNCT
archive-397	122	1	486	486	NUM
archive-397	122	2	yassin	yassin	PROPN
archive-397	122	3	/	/	PUNCT
archive-397	122	4	the	the	DET
archive-397	122	5	academic	academic	ADJ
archive-397	122	6	research	research	NOUN
archive-397	122	7	community	community	NOUN
archive-397	122	8	publication	publication	NOUN
archive-397	122	9	solution	solution	NOUN
archive-397	122	10	in	in	ADP
archive-397	122	11	the	the	DET
archive-397	122	12	search	search	NOUN
archive-397	122	13	space	space	NOUN
archive-397	122	14	.	.	PUNCT
archive-397	122	15	particle	particle	NOUN
archive-397	122	16	swarm	swarm	NOUN
archive-397	122	17	optimization	optimization	NOUN
archive-397	122	18	(	(	PUNCT
archive-397	122	19	pso	pso	NOUN
archive-397	122	20	)	)	PUNCT
archive-397	122	21	is	be	AUX
archive-397	122	22	another	another	DET
archive-397	122	23	global	global	ADJ
archive-397	122	24	optimization	optimization	NOUN
archive-397	122	25	procedure	procedure	NOUN
archive-397	122	26	by	by	ADP
archive-397	122	27	kennedy	kennedy	PROPN
archive-397	122	28	and	and	CCONJ
archive-397	122	29	eberhart	eberhart	PROPN
archive-397	122	30	(	(	PUNCT
archive-397	122	31	1995	1995	NUM
archive-397	122	32	)	)	PUNCT
archive-397	122	33	.	.	PUNCT
archive-397	123	1	pso	pso	NOUN
archive-397	123	2	inspired	inspire	VERB
archive-397	123	3	by	by	ADP
archive-397	123	4	the	the	DET
archive-397	123	5	social	social	ADJ
archive-397	123	6	behavior	behavior	NOUN
archive-397	123	7	of	of	ADP
archive-397	123	8	bird	bird	NOUN
archive-397	123	9	flocking	flocking	NOUN
archive-397	123	10	.	.	PUNCT
archive-397	124	1	pso	pso	NOUN
archive-397	124	2	search	search	NOUN
archive-397	124	3	process	process	NOUN
archive-397	124	4	used	use	VERB
archive-397	124	5	a	a	DET
archive-397	124	6	swarm	swarm	NOUN
archive-397	124	7	that	that	PRON
archive-397	124	8	contains	contain	VERB
archive-397	124	9	a	a	DET
archive-397	124	10	number	number	NOUN
archive-397	124	11	of	of	ADP
archive-397	124	12	particles	particle	NOUN
archive-397	124	13	which	which	PRON
archive-397	124	14	move	move	VERB
archive-397	124	15	to	to	ADP
archive-397	124	16	best	good	ADJ
archive-397	124	17	solution	solution	NOUN
archive-397	124	18	at	at	ADP
archive-397	124	19	the	the	DET
archive-397	124	20	search	search	NOUN
archive-397	124	21	space	space	NOUN
archive-397	124	22	based	base	VERB
archive-397	124	23	on	on	ADP
archive-397	124	24	their	their	PRON
archive-397	124	25	own	own	ADJ
archive-397	124	26	best	good	ADJ
archive-397	124	27	position	position	NOUN
archive-397	124	28	(	(	PUNCT
archive-397	124	29	xbest	xbest	NOUN
archive-397	124	30	)	)	PUNCT
archive-397	124	31	and	and	CCONJ
archive-397	124	32	the	the	DET
archive-397	124	33	best	good	ADJ
archive-397	124	34	position	position	NOUN
archive-397	124	35	of	of	ADP
archive-397	124	36	the	the	DET
archive-397	124	37	swarm	swarm	NOUN
archive-397	124	38	(	(	PUNCT
archive-397	124	39	gbest	gbest	NOUN
archive-397	124	40	)	)	PUNCT
archive-397	124	41	(	(	PUNCT
archive-397	124	42	ibrahim	ibrahim	PROPN
archive-397	124	43	,	,	PUNCT
archive-397	124	44	badr	badr	PROPN
archive-397	124	45	,	,	PUNCT
archive-397	124	46	&	&	CCONJ
archive-397	124	47	shaheen	shaheen	PROPN
archive-397	124	48	,	,	PUNCT
archive-397	124	49	2012	2012	NUM
archive-397	124	50	)	)	PUNCT
archive-397	124	51	.	.	PUNCT
archive-397	125	1	each	each	DET
archive-397	125	2	particle	particle	NOUN
archive-397	125	3	has	have	VERB
archive-397	125	4	two	two	NUM
archive-397	125	5	important	important	ADJ
archive-397	125	6	parameters	parameter	NOUN
archive-397	125	7	,	,	PUNCT
archive-397	125	8	velocity	velocity	NOUN
archive-397	125	9	(	(	PUNCT
archive-397	125	10	vi	vi	NOUN
archive-397	125	11	)	)	PUNCT
archive-397	125	12	,	,	PUNCT
archive-397	125	13	and	and	CCONJ
archive-397	125	14	its	its	PRON
archive-397	125	15	position	position	NOUN
archive-397	125	16	(	(	PUNCT
archive-397	125	17	pi	pi	NOUN
archive-397	125	18	)	)	PUNCT
archive-397	125	19	as	as	ADP
archive-397	125	20	a	a	DET
archive-397	125	21	possible	possible	ADJ
archive-397	125	22	solution	solution	NOUN
archive-397	125	23	(	(	PUNCT
archive-397	125	24	mirjalili	mirjalili	NOUN
archive-397	125	25	,	,	PUNCT
archive-397	125	26	hashim	hashim	PROPN
archive-397	125	27	,	,	PUNCT
archive-397	125	28	&	&	CCONJ
archive-397	125	29	sardroudi	sardroudi	PROPN
archive-397	125	30	,	,	PUNCT
archive-397	125	31	2012	2012	NUM
archive-397	125	32	)	)	PUNCT
archive-397	125	33	.	.	PUNCT
archive-397	126	1	each	each	DET
archive-397	126	2	particle	particle	NOUN
archive-397	126	3	starts	start	VERB
archive-397	126	4	at	at	ADP
archive-397	126	5	a	a	DET
archive-397	126	6	random	random	ADJ
archive-397	126	7	position	position	NOUN
archive-397	126	8	in	in	ADP
archive-397	126	9	the	the	DET
archive-397	126	10	n	n	CCONJ
archive-397	126	11	dimensional	dimensional	ADJ
archive-397	126	12	search	search	NOUN
archive-397	126	13	space	space	NOUN
archive-397	126	14	of	of	ADP
archive-397	126	15	the	the	DET
archive-397	126	16	optimization	optimization	NOUN
archive-397	126	17	problem	problem	NOUN
archive-397	126	18	.	.	PUNCT
archive-397	127	1	determination	determination	NOUN
archive-397	127	2	of	of	ADP
archive-397	127	3	the	the	DET
archive-397	127	4	best	good	ADJ
archive-397	127	5	particle	particle	NOUN
archive-397	127	6	relies	rely	VERB
archive-397	127	7	upon	upon	SCONJ
archive-397	127	8	the	the	DET
archive-397	127	9	objective	objective	ADJ
archive-397	127	10	function	function	NOUN
archive-397	127	11	which	which	PRON
archive-397	127	12	is	be	AUX
archive-397	127	13	modeled	model	VERB
archive-397	127	14	mathematically	mathematically	ADV
archive-397	127	15	by	by	ADP
archive-397	127	16	the	the	DET
archive-397	127	17	user	user	NOUN
archive-397	127	18	.	.	PUNCT
archive-397	128	1	depending	depend	VERB
archive-397	128	2	on	on	ADP
archive-397	128	3	the	the	DET
archive-397	128	4	velocity	velocity	NOUN
archive-397	128	5	of	of	ADP
archive-397	128	6	the	the	DET
archive-397	128	7	particle	particle	NOUN
archive-397	128	8	,	,	PUNCT
archive-397	128	9	the	the	DET
archive-397	128	10	(	(	PUNCT
archive-397	128	11	xbest	xbest	NOUN
archive-397	128	12	)	)	PUNCT
archive-397	128	13	and	and	CCONJ
archive-397	128	14	(	(	PUNCT
archive-397	128	15	gbest	gb	ADJ
archive-397	128	16	)	)	PUNCT
archive-397	128	17	will	will	AUX
archive-397	128	18	be	be	AUX
archive-397	128	19	updated	update	VERB
archive-397	128	20	toward	toward	ADP
archive-397	128	21	the	the	DET
archive-397	128	22	best	good	ADJ
archive-397	128	23	solution(wahba	solution(wahba	PROPN
archive-397	128	24	,	,	PUNCT
archive-397	128	25	el	el	PROPN
archive-397	128	26	salamouny	salamouny	PROPN
archive-397	128	27	,	,	PUNCT
archive-397	128	28	&	&	CCONJ
archive-397	128	29	el	el	PROPN
archive-397	128	30	taweel	taweel	PROPN
archive-397	128	31	,	,	PUNCT
archive-397	128	32	2015	2015	NUM
archive-397	128	33	)	)	PUNCT
archive-397	128	34	.	.	PUNCT
archive-397	129	1	the	the	DET
archive-397	129	2	velocity	velocity	NOUN
archive-397	129	3	(	(	PUNCT
archive-397	129	4	vi	vi	NOUN
archive-397	129	5	)	)	PUNCT
archive-397	129	6	of	of	ADP
archive-397	129	7	each	each	DET
archive-397	129	8	particle	particle	NOUN
archive-397	129	9	is	be	AUX
archive-397	129	10	updated	update	VERB
archive-397	129	11	as	as	SCONJ
archive-397	129	12	shown	show	VERB
archive-397	129	13	in	in	ADP
archive-397	129	14	(	(	PUNCT
archive-397	129	15	1	1	NUM
archive-397	129	16	)	)	PUNCT
archive-397	129	17	.	.	PUNCT
archive-397	130	1	while	while	SCONJ
archive-397	130	2	maximum	maximum	ADJ
archive-397	130	3	number	number	NOUN
archive-397	130	4	of	of	ADP
archive-397	130	5	iterations	iteration	NOUN
archive-397	130	6	or	or	CCONJ
archive-397	130	7	minimum	minimum	NOUN
archive-397	130	8	error	error	NOUN
archive-397	130	9	criteria	criterion	NOUN
archive-397	130	10	is	be	AUX
archive-397	130	11	not	not	PART
archive-397	130	12	obtained	obtain	VERB
archive-397	130	13	.	.	PUNCT
archive-397	131	1	vin	vin	NOUN
archive-397	131	2	(	(	PUNCT
archive-397	131	3	t	t	PROPN
archive-397	131	4	+1	+1	PROPN
archive-397	131	5	)	)	PUNCT
archive-397	132	1	=	=	NOUN
archive-397	132	2	w	w	NOUN
archive-397	132	3	×vin	×vin	PRON
archive-397	132	4	(	(	PUNCT
archive-397	132	5	t)+c1,i	t)+c1,i	NOUN
archive-397	132	6	r1	r1	PROPN
archive-397	132	7	(	(	PUNCT
archive-397	132	8	xibest	xib	ADJ
archive-397	132	9	(	(	PUNCT
archive-397	132	10	t)−pi	t)−pi	X
archive-397	132	11	(	(	PUNCT
archive-397	132	12	t))+c2,i	t))+c2,i	NOUN
archive-397	132	13	r2	r2	PROPN
archive-397	132	14	(	(	PUNCT
archive-397	132	15	xgbest	xgbest	X
archive-397	132	16	(	(	PUNCT
archive-397	132	17	t)−pi	t)−pi	PROPN
archive-397	132	18	(	(	PUNCT
archive-397	132	19	t	t	NOUN
archive-397	132	20	)	)	PUNCT
archive-397	132	21	)	)	PUNCT
archive-397	132	22	(	(	PUNCT
archive-397	132	23	1	1	X
archive-397	132	24	)	)	PUNCT
archive-397	133	1	where	where	SCONJ
archive-397	133	2	:	:	PUNCT
archive-397	133	3	vin	vin	NOUN
archive-397	133	4	(	(	PUNCT
archive-397	133	5	t+1	t+1	NUM
archive-397	133	6	):	):	PUNCT
archive-397	133	7	the	the	DET
archive-397	133	8	new	new	ADJ
archive-397	133	9	velocity	velocity	NOUN
archive-397	133	10	of	of	ADP
archive-397	133	11	particle	particle	NOUN
archive-397	133	12	i	i	PRON
archive-397	133	13	in	in	ADP
archive-397	133	14	the	the	DET
archive-397	133	15	dimension	dimension	NOUN
archive-397	133	16	n.	n.	PROPN
archive-397	133	17	w	w	PROPN
archive-397	133	18	:	:	PUNCT
archive-397	133	19	the	the	DET
archive-397	133	20	weighting	weighting	NOUN
archive-397	133	21	function	function	NOUN
archive-397	133	22	(	(	PUNCT
archive-397	133	23	considered	consider	VERB
archive-397	133	24	as	as	ADP
archive-397	133	25	a	a	DET
archive-397	133	26	random	random	ADJ
archive-397	133	27	number	number	NOUN
archive-397	133	28	within	within	ADP
archive-397	133	29	[	[	X
archive-397	133	30	0,1	0,1	NUM
archive-397	133	31	]	]	NUM
archive-397	133	32	)	)	PUNCT
archive-397	133	33	.	.	PUNCT
archive-397	134	1	vin	vin	NOUN
archive-397	134	2	:	:	PUNCT
archive-397	134	3	old	old	ADJ
archive-397	134	4	velocity	velocity	NOUN
archive-397	134	5	of	of	ADP
archive-397	134	6	particle	particle	NOUN
archive-397	134	7	i	i	PRON
archive-397	134	8	in	in	ADP
archive-397	134	9	the	the	DET
archive-397	134	10	dimension	dimension	NOUN
archive-397	134	11	n.	n.	PROPN
archive-397	134	12	cj	cj	PROPN
archive-397	134	13	,	,	PUNCT
archive-397	134	14	i	i	PRON
archive-397	134	15	:	:	PUNCT
archive-397	134	16	acceleration	acceleration	NOUN
archive-397	134	17	coefficient	coefficient	NOUN
archive-397	134	18	for	for	ADP
archive-397	134	19	the	the	DET
archive-397	134	20	particle	particle	NOUN
archive-397	134	21	i.	i.	PROPN
archive-397	134	22	c1,i	c1,i	PROPN
archive-397	134	23	:	:	PUNCT
archive-397	134	24	cognitive	cognitive	ADJ
archive-397	134	25	learning	learning	NOUN
archive-397	134	26	value	value	NOUN
archive-397	134	27	for	for	ADP
archive-397	134	28	particle	particle	NOUN
archive-397	134	29	i.	i.	PROPN
archive-397	134	30	c2,i	c2,i	PROPN
archive-397	134	31	:	:	PUNCT
archive-397	134	32	social	social	ADJ
archive-397	134	33	learning	learning	NOUN
archive-397	134	34	value	value	NOUN
archive-397	134	35	for	for	ADP
archive-397	134	36	particle	particle	NOUN
archive-397	134	37	i.	i.	NOUN
archive-397	134	38	r1,r2	r1,r2	PROPN
archive-397	134	39	:	:	PUNCT
archive-397	134	40	random	random	ADJ
archive-397	134	41	numbers	number	NOUN
archive-397	134	42	within	within	ADP
archive-397	134	43	[	[	X
archive-397	134	44	0,1	0,1	NUM
archive-397	134	45	]	]	PUNCT
archive-397	134	46	.	.	PUNCT
archive-397	135	1	xibest	xib	ADJ
archive-397	135	2	:	:	PUNCT
archive-397	136	1	optimum	optimum	ADJ
archive-397	136	2	or	or	CCONJ
archive-397	136	3	best	good	ADJ
archive-397	136	4	position	position	NOUN
archive-397	136	5	that	that	PRON
archive-397	136	6	particle	particle	NOUN
archive-397	136	7	iin	iin	NOUN
archive-397	136	8	dimension	dimension	NOUN
archive-397	136	9	n	n	CCONJ
archive-397	136	10	at	at	ADP
archive-397	136	11	time	time	NOUN
archive-397	136	12	t.	t.	PROPN
archive-397	136	13	xgbest(t	xgbest(t	PROPN
archive-397	136	14	):	):	PUNCT
archive-397	136	15	optimum	optimum	ADJ
archive-397	136	16	or	or	CCONJ
archive-397	136	17	best	good	ADJ
archive-397	136	18	solution	solution	NOUN
archive-397	136	19	found	find	VERB
archive-397	136	20	by	by	ADP
archive-397	136	21	the	the	DET
archive-397	136	22	entire	entire	ADJ
archive-397	136	23	population	population	NOUN
archive-397	136	24	at	at	ADP
archive-397	136	25	time	time	NOUN
archive-397	136	26	t.	t.	PROPN
archive-397	136	27	pi	pi	PROPN
archive-397	136	28	(	(	PUNCT
archive-397	136	29	t	t	PROPN
archive-397	136	30	):	):	PUNCT
archive-397	136	31	current	current	ADJ
archive-397	136	32	position	position	NOUN
archive-397	136	33	of	of	ADP
archive-397	136	34	the	the	DET
archive-397	136	35	ith	ith	PROPN
archive-397	136	36	particle	particle	NOUN
archive-397	136	37	at	at	ADP
archive-397	136	38	generation	generation	NOUN
archive-397	136	39	t.	t.	NOUN
archive-397	136	40	the	the	DET
archive-397	136	41	position	position	NOUN
archive-397	136	42	of	of	ADP
archive-397	136	43	the	the	DET
archive-397	136	44	particle	particle	NOUN
archive-397	136	45	is	be	AUX
archive-397	136	46	updated	update	VERB
archive-397	136	47	using	use	VERB
archive-397	136	48	equation	equation	NOUN
archive-397	136	49	(	(	PUNCT
archive-397	136	50	2	2	NUM
archive-397	136	51	)	)	PUNCT
archive-397	136	52	as	as	SCONJ
archive-397	136	53	follows	follow	VERB
archive-397	136	54	xi	xi	X
archive-397	137	1	(	(	PUNCT
archive-397	137	2	t	t	PROPN
archive-397	137	3	+1	+1	PROPN
archive-397	137	4	)	)	PUNCT
archive-397	137	5	=	=	SYM
archive-397	137	6	xi	xi	X
archive-397	137	7	(	(	PUNCT
archive-397	137	8	t)+vi	t)+vi	X
archive-397	137	9	(	(	PUNCT
archive-397	137	10	t	t	NOUN
archive-397	137	11	)	)	PUNCT
archive-397	137	12	(	(	PUNCT
archive-397	137	13	2	2	X
archive-397	137	14	)	)	PUNCT
archive-397	137	15	where	where	SCONJ
archive-397	137	16	:	:	PUNCT
archive-397	137	17	xi	xi	X
archive-397	137	18	(	(	PUNCT
archive-397	137	19	t+1	t+1	NOUN
archive-397	137	20	)	)	PUNCT
archive-397	137	21	new	new	ADJ
archive-397	137	22	position	position	NOUN
archive-397	137	23	of	of	ADP
archive-397	137	24	particle	particle	NOUN
archive-397	137	25	i	i	PRON
archive-397	137	26	in	in	ADP
archive-397	137	27	the	the	DET
archive-397	137	28	dimension	dimension	NOUN
archive-397	137	29	n.	n.	NOUN
archive-397	137	30	xi	xi	X
archive-397	137	31	(	(	PUNCT
archive-397	137	32	t	t	NOUN
archive-397	137	33	)	)	PUNCT
archive-397	137	34	old	old	ADJ
archive-397	137	35	or	or	CCONJ
archive-397	137	36	previous	previous	ADJ
archive-397	137	37	position	position	NOUN
archive-397	137	38	for	for	ADP
archive-397	137	39	particle	particle	NOUN
archive-397	137	40	i	i	PRON
archive-397	137	41	at	at	ADP
archive-397	137	42	time	time	NOUN
archive-397	137	43	t.	t.	PROPN
archive-397	137	44	vi	vi	PROPN
archive-397	137	45	(	(	PUNCT
archive-397	137	46	t	t	NOUN
archive-397	137	47	)	)	PUNCT
archive-397	137	48	denotes	denote	VERB
archive-397	137	49	the	the	DET
archive-397	137	50	old	old	ADJ
archive-397	137	51	velocity	velocity	NOUN
archive-397	137	52	of	of	ADP
archive-397	137	53	particle	particle	NOUN
archive-397	137	54	i	i	PRON
archive-397	137	55	in	in	ADP
archive-397	137	56	the	the	DET
archive-397	137	57	dimension	dimension	NOUN
archive-397	137	58	n.	n.	NOUN
archive-397	137	59	figure	figure	NOUN
archive-397	137	60	2	2	NUM
archive-397	137	61	.	.	PUNCT
archive-397	138	1	steps	step	NOUN
archive-397	138	2	of	of	ADP
archive-397	138	3	the	the	DET
archive-397	138	4	pso	pso	NOUN
archive-397	138	5	algorithm	algorithm	NOUN
archive-397	138	6	pg	pg	NOUN
archive-397	138	7	.	.	PUNCT
archive-397	139	1	487	487	NUM
archive-397	139	2	yassin	yassin	PROPN
archive-397	139	3	/	/	PUNCT
archive-397	139	4	the	the	DET
archive-397	139	5	academic	academic	ADJ
archive-397	139	6	research	research	NOUN
archive-397	139	7	community	community	NOUN
archive-397	139	8	publication	publication	NOUN
archive-397	139	9	pso	pso	NOUN
archive-397	139	10	starts	start	VERB
archive-397	139	11	in	in	ADP
archive-397	139	12	a	a	DET
archive-397	139	13	random	random	ADJ
archive-397	139	14	way	way	NOUN
archive-397	139	15	by	by	ADP
archive-397	139	16	placing	place	VERB
archive-397	139	17	the	the	DET
archive-397	139	18	particles	particle	NOUN
archive-397	139	19	in	in	ADP
archive-397	139	20	a	a	DET
archive-397	139	21	search	search	NOUN
archive-397	139	22	space	space	NOUN
archive-397	139	23	related	relate	VERB
archive-397	139	24	to	to	ADP
archive-397	139	25	a	a	DET
archive-397	139	26	specific	specific	ADJ
archive-397	139	27	problem	problem	NOUN
archive-397	139	28	.	.	PUNCT
archive-397	140	1	at	at	ADP
archive-397	140	2	each	each	DET
archive-397	140	3	iteration	iteration	NOUN
archive-397	140	4	step	step	NOUN
archive-397	140	5	,	,	PUNCT
archive-397	140	6	the	the	DET
archive-397	140	7	velocities	velocity	NOUN
archive-397	140	8	of	of	ADP
archive-397	140	9	particles	particle	NOUN
archive-397	140	10	are	be	AUX
archive-397	140	11	calculated	calculate	VERB
archive-397	140	12	using	use	VERB
archive-397	140	13	equation	equation	NOUN
archive-397	140	14	(	(	PUNCT
archive-397	140	15	1	1	NUM
archive-397	140	16	)	)	PUNCT
archive-397	140	17	.	.	PUNCT
archive-397	141	1	the	the	DET
archive-397	141	2	positions	position	NOUN
archive-397	141	3	of	of	ADP
archive-397	141	4	particles	particle	NOUN
archive-397	141	5	are	be	AUX
archive-397	141	6	calculated	calculate	VERB
archive-397	141	7	by	by	ADP
archive-397	141	8	equation	equation	NOUN
archive-397	141	9	(	(	PUNCT
archive-397	141	10	2	2	NUM
archive-397	141	11	)	)	PUNCT
archive-397	141	12	after	after	SCONJ
archive-397	141	13	the	the	DET
archive-397	141	14	velocities	velocity	NOUN
archive-397	141	15	are	be	AUX
archive-397	141	16	defined	define	VERB
archive-397	141	17	.	.	PUNCT
archive-397	142	1	this	this	DET
archive-397	142	2	process	process	NOUN
archive-397	142	3	is	be	AUX
archive-397	142	4	repeated	repeat	VERB
archive-397	142	5	until	until	SCONJ
archive-397	142	6	stopping	stop	VERB
archive-397	142	7	criteria	criterion	NOUN
archive-397	142	8	is	be	AUX
archive-397	142	9	accomplished	accomplish	VERB
archive-397	142	10	.	.	PUNCT
archive-397	143	1	the	the	DET
archive-397	143	2	main	main	ADJ
archive-397	143	3	steps	step	NOUN
archive-397	143	4	of	of	ADP
archive-397	143	5	pso	pso	NOUN
archive-397	143	6	algorithm	algorithm	NOUN
archive-397	143	7	are	be	AUX
archive-397	143	8	indicated	indicate	VERB
archive-397	143	9	in	in	ADP
archive-397	143	10	figure	figure	NOUN
archive-397	143	11	2	2	NUM
archive-397	143	12	above	above	ADV
archive-397	143	13	.	.	PUNCT
archive-397	144	1	gravitational	gravitational	ADJ
archive-397	144	2	search	search	NOUN
archive-397	144	3	algorithm	algorithm	NOUN
archive-397	144	4	is	be	AUX
archive-397	144	5	a	a	DET
archive-397	144	6	new	new	ADJ
archive-397	144	7	experiential	experiential	ADJ
archive-397	144	8	optimization	optimization	NOUN
archive-397	144	9	method	method	NOUN
archive-397	144	10	which	which	PRON
archive-397	144	11	inspired	inspire	VERB
archive-397	144	12	from	from	ADP
archive-397	144	13	newton	newton	PROPN
archive-397	144	14	’s	’s	PART
archive-397	144	15	theory	theory	NOUN
archive-397	144	16	that	that	SCONJ
archive-397	144	17	states	state	VERB
archive-397	144	18	:	:	PUNCT
archive-397	144	19	“	"	PUNCT
archive-397	144	20	every	every	DET
archive-397	144	21	particle	particle	NOUN
archive-397	144	22	in	in	ADP
archive-397	144	23	the	the	DET
archive-397	144	24	universe	universe	NOUN
archive-397	144	25	attracts	attract	VERB
archive-397	144	26	every	every	DET
archive-397	144	27	other	other	ADJ
archive-397	144	28	particle	particle	NOUN
archive-397	144	29	with	with	ADP
archive-397	144	30	a	a	DET
archive-397	144	31	force	force	NOUN
archive-397	144	32	that	that	PRON
archive-397	144	33	is	be	AUX
archive-397	144	34	directly	directly	ADV
archive-397	144	35	proportional	proportional	ADJ
archive-397	144	36	to	to	ADP
archive-397	144	37	the	the	DET
archive-397	144	38	product	product	NOUN
archive-397	144	39	of	of	ADP
archive-397	144	40	their	their	PRON
archive-397	144	41	masses	masse	NOUN
archive-397	144	42	and	and	CCONJ
archive-397	144	43	inversely	inversely	ADV
archive-397	144	44	proportional	proportional	ADJ
archive-397	144	45	to	to	ADP
archive-397	144	46	the	the	DET
archive-397	144	47	square	square	NOUN
archive-397	144	48	of	of	ADP
archive-397	144	49	the	the	DET
archive-397	144	50	distance	distance	NOUN
archive-397	144	51	between	between	ADP
archive-397	144	52	them	they	PRON
archive-397	144	53	”	"	PUNCT
archive-397	144	54	(	(	PUNCT
archive-397	144	55	newton	newton	PROPN
archive-397	144	56	,	,	PUNCT
archive-397	144	57	1729	1729	NUM
archive-397	144	58	)	)	PUNCT
archive-397	144	59	.	.	PUNCT
archive-397	145	1	by	by	ADP
archive-397	145	2	generations	generation	NOUN
archive-397	145	3	,	,	PUNCT
archive-397	145	4	all	all	DET
archive-397	145	5	the	the	DET
archive-397	145	6	gsa	gsa	PROPN
archive-397	145	7	masses	masse	NOUN
archive-397	145	8	which	which	PRON
archive-397	145	9	related	relate	VERB
archive-397	145	10	to	to	ADP
archive-397	145	11	the	the	DET
archive-397	145	12	objective	objective	ADJ
archive-397	145	13	function	function	NOUN
archive-397	145	14	value	value	NOUN
archive-397	145	15	are	be	AUX
archive-397	145	16	attracted	attract	VERB
archive-397	145	17	to	to	ADP
archive-397	145	18	each	each	DET
archive-397	145	19	other	other	ADJ
archive-397	145	20	through	through	ADP
archive-397	145	21	the	the	DET
archive-397	145	22	gravity	gravity	NOUN
archive-397	145	23	forces	force	NOUN
archive-397	145	24	,	,	PUNCT
archive-397	145	25	and	and	CCONJ
archive-397	145	26	the	the	DET
archive-397	145	27	heavier	heavy	ADJ
archive-397	145	28	mass	mass	NOUN
archive-397	145	29	close	close	ADV
archive-397	145	30	to	to	ADP
archive-397	145	31	the	the	DET
archive-397	145	32	global	global	ADJ
archive-397	145	33	optimum	optimum	ADJ
archive-397	145	34	attract	attract	NOUN
archive-397	145	35	.	.	PUNCT
archive-397	146	1	the	the	DET
archive-397	146	2	gsa	gsa	PROPN
archive-397	146	3	algorithm	algorithm	PROPN
archive-397	146	4	parameters	parameter	NOUN
archive-397	146	5	begin	begin	VERB
archive-397	146	6	at	at	ADP
archive-397	146	7	random	random	ADJ
archive-397	146	8	by	by	ADP
archive-397	146	9	setting	set	VERB
archive-397	146	10	all	all	DET
archive-397	146	11	the	the	DET
archive-397	146	12	agents	agent	NOUN
archive-397	146	13	in	in	ADP
archive-397	146	14	the	the	DET
archive-397	146	15	search	search	NOUN
archive-397	146	16	space	space	NOUN
archive-397	146	17	.	.	PUNCT
archive-397	147	1	throughout	throughout	ADP
archive-397	147	2	iterative	iterative	NOUN
archive-397	147	3	procedure	procedure	NOUN
archive-397	147	4	,	,	PUNCT
archive-397	147	5	the	the	DET
archive-397	147	6	gravitational	gravitational	ADJ
archive-397	147	7	forces	force	NOUN
archive-397	147	8	from	from	ADP
archive-397	147	9	agent	agent	NOUN
archive-397	147	10	j	j	PROPN
archive-397	147	11	on	on	ADP
archive-397	147	12	agent	agent	NOUN
archive-397	147	13	i	i	PRON
archive-397	147	14	at	at	ADP
archive-397	147	15	a	a	DET
archive-397	147	16	specific	specific	ADJ
archive-397	147	17	time	time	NOUN
archive-397	147	18	t	t	NOUN
archive-397	147	19	are	be	AUX
archive-397	147	20	updated	update	VERB
archive-397	147	21	by	by	ADP
archive-397	147	22	equation	equation	NOUN
archive-397	147	23	(	(	PUNCT
archive-397	147	24	3	3	NUM
archive-397	147	25	)	)	PUNCT
archive-397	147	26	as	as	SCONJ
archive-397	147	27	follows	follow	VERB
archive-397	147	28	:	:	PUNCT
archive-397	147	29	fd	fd	PROPN
archive-397	148	1	i	i	PRON
archive-397	148	2	j	j	PROPN
archive-397	148	3	(	(	PUNCT
archive-397	148	4	t	t	PROPN
archive-397	148	5	)	)	PUNCT
archive-397	148	6	=	=	SYM
archive-397	148	7	g(t	g(t	PROPN
archive-397	148	8	)	)	PUNCT
archive-397	148	9	mpi	mpi	NOUN
archive-397	148	10	(	(	PUNCT
archive-397	148	11	t)×ma	t)×ma	INTJ
archive-397	148	12	j	j	PROPN
archive-397	148	13	(	(	PUNCT
archive-397	148	14	t	t	PROPN
archive-397	148	15	)	)	PUNCT
archive-397	149	1	ri	ri	PROPN
archive-397	149	2	j	j	PROPN
archive-397	149	3	(	(	PUNCT
archive-397	149	4	t)+	t)+	NOUN
archive-397	149	5	ε	ε	PROPN
archive-397	149	6	(	(	PUNCT
archive-397	149	7	xd	xd	INTJ
archive-397	149	8	j	j	PROPN
archive-397	149	9	(	(	PUNCT
archive-397	149	10	t)−xd	t)−xd	NOUN
archive-397	149	11	i	i	PRON
archive-397	149	12	(	(	PUNCT
archive-397	149	13	t	t	PROPN
archive-397	149	14	)	)	PUNCT
archive-397	149	15	)	)	PUNCT
archive-397	149	16	(	(	PUNCT
archive-397	149	17	3	3	X
archive-397	149	18	)	)	PUNCT
archive-397	149	19	where	where	SCONJ
archive-397	149	20	:	:	PUNCT
archive-397	149	21	ma	ma	PROPN
archive-397	149	22	j	j	PROPN
archive-397	149	23	is	be	AUX
archive-397	149	24	the	the	DET
archive-397	149	25	active	active	ADJ
archive-397	149	26	gravitational	gravitational	ADJ
archive-397	149	27	mass	mass	NOUN
archive-397	149	28	related	relate	VERB
archive-397	149	29	to	to	ADP
archive-397	149	30	agent	agent	PROPN
archive-397	149	31	j	j	PROPN
archive-397	149	32	,	,	PUNCT
archive-397	149	33	mpi	mpi	PROPN
archive-397	149	34	is	be	AUX
archive-397	149	35	the	the	DET
archive-397	149	36	passive	passive	ADJ
archive-397	149	37	gravitational	gravitational	ADJ
archive-397	149	38	mass	mass	NOUN
archive-397	149	39	related	relate	VERB
archive-397	149	40	to	to	ADP
archive-397	149	41	agent	agent	NOUN
archive-397	149	42	i	i	PRON
archive-397	149	43	,	,	PUNCT
archive-397	149	44	g(t	g(t	PROPN
archive-397	149	45	)	)	PUNCT
archive-397	149	46	is	be	AUX
archive-397	149	47	gravitational	gravitational	ADJ
archive-397	149	48	constant	constant	ADJ
archive-397	149	49	at	at	ADP
archive-397	149	50	time	time	NOUN
archive-397	149	51	t	t	PROPN
archive-397	149	52	,	,	PUNCT
archive-397	149	53	ε	ε	PROPN
archive-397	149	54	is	be	AUX
archive-397	149	55	a	a	DET
archive-397	149	56	small	small	ADJ
archive-397	149	57	constant	constant	ADJ
archive-397	149	58	,	,	PUNCT
archive-397	149	59	and	and	CCONJ
archive-397	149	60	ri	ri	PROPN
archive-397	149	61	j(t	j(t	PROPN
archive-397	149	62	)	)	PUNCT
archive-397	149	63	is	be	AUX
archive-397	149	64	the	the	DET
archive-397	149	65	euclidian	euclidian	ADJ
archive-397	149	66	distance	distance	NOUN
archive-397	149	67	between	between	ADP
archive-397	149	68	two	two	NUM
archive-397	149	69	agents	agent	NOUN
archive-397	149	70	i	i	PRON
archive-397	149	71	and	and	CCONJ
archive-397	149	72	j.	j.	PROPN
archive-397	149	73	the	the	DET
archive-397	149	74	g(t	g(t	PROPN
archive-397	149	75	)	)	PUNCT
archive-397	149	76	is	be	AUX
archive-397	149	77	computed	compute	VERB
archive-397	149	78	by	by	ADP
archive-397	149	79	equation	equation	NOUN
archive-397	149	80	(	(	PUNCT
archive-397	149	81	4	4	NUM
archive-397	149	82	):	):	PUNCT
archive-397	149	83	g(t	g(t	PROPN
archive-397	149	84	)	)	PUNCT
archive-397	150	1	=	=	SYM
archive-397	150	2	g0×	g0×	NOUN
archive-397	150	3	exp(−	exp(−	PROPN
archive-397	150	4	∝	∝	PROPN
archive-397	150	5	×	×	PROPN
archive-397	150	6	iter	iter	NOUN
archive-397	150	7	maxiter	maxiter	NOUN
archive-397	150	8	)	)	PUNCT
archive-397	150	9	(	(	PUNCT
archive-397	150	10	4	4	X
archive-397	150	11	)	)	PUNCT
archive-397	150	12	where	where	SCONJ
archive-397	150	13	∝	∝	PROPN
archive-397	150	14	and	and	CCONJ
archive-397	150	15	g0	g0	PROPN
archive-397	150	16	are	be	AUX
archive-397	150	17	descending	descend	VERB
archive-397	150	18	coefficient	coefficient	NOUN
archive-397	150	19	and	and	CCONJ
archive-397	150	20	initial	initial	ADJ
archive-397	150	21	value	value	NOUN
archive-397	150	22	respectively	respectively	ADV
archive-397	150	23	,	,	PUNCT
archive-397	150	24	and	and	CCONJ
archive-397	150	25	iter	iter	NOUN
archive-397	150	26	:	:	PUNCT
archive-397	150	27	is	be	AUX
archive-397	150	28	the	the	DET
archive-397	150	29	current	current	ADJ
archive-397	150	30	iteration	iteration	NOUN
archive-397	150	31	,	,	PUNCT
archive-397	150	32	maxiter	maxiter	NOUN
archive-397	150	33	:	:	PUNCT
archive-397	150	34	is	be	AUX
archive-397	150	35	maximum	maximum	ADJ
archive-397	150	36	number	number	NOUN
archive-397	150	37	of	of	ADP
archive-397	150	38	iterations	iteration	NOUN
archive-397	150	39	.	.	PUNCT
archive-397	151	1	in	in	ADP
archive-397	151	2	a	a	DET
archive-397	151	3	search	search	NOUN
archive-397	151	4	space	space	NOUN
archive-397	151	5	with	with	ADP
archive-397	151	6	the	the	DET
archive-397	151	7	dimension	dimension	NOUN
archive-397	151	8	d	d	NOUN
archive-397	151	9	,	,	PUNCT
archive-397	151	10	the	the	DET
archive-397	151	11	total	total	ADJ
archive-397	151	12	force	force	NOUN
archive-397	151	13	that	that	PRON
archive-397	151	14	acts	act	VERB
archive-397	151	15	on	on	ADP
archive-397	151	16	an	an	DET
archive-397	151	17	agent	agent	NOUN
archive-397	151	18	i	i	PRON
archive-397	151	19	is	be	AUX
archive-397	151	20	computed	compute	VERB
archive-397	151	21	using	use	VERB
archive-397	151	22	(	(	PUNCT
archive-397	151	23	5	5	NUM
archive-397	151	24	):	):	PUNCT
archive-397	151	25	fd	fd	VERB
archive-397	151	26	i	i	PRON
archive-397	151	27	(	(	PUNCT
archive-397	151	28	t	t	PROPN
archive-397	151	29	)	)	PUNCT
archive-397	151	30	=	=	PUNCT
archive-397	152	1	∑	∑	PROPN
archive-397	152	2	n	n	PRON
archive-397	152	3	j=1	j=1	PROPN
archive-397	152	4	,	,	PUNCT
archive-397	152	5	j	j	PROPN
archive-397	153	1	6=1rand	6=1rand	NUM
archive-397	153	2	j	j	NOUN
archive-397	153	3	fd	fd	INTJ
archive-397	154	1	i	i	PRON
archive-397	154	2	j	j	PROPN
archive-397	154	3	(	(	PUNCT
archive-397	154	4	t	t	PROPN
archive-397	154	5	)	)	PUNCT
archive-397	154	6	(	(	PUNCT
archive-397	154	7	5	5	X
archive-397	154	8	)	)	PUNCT
archive-397	154	9	where	where	SCONJ
archive-397	154	10	rand	rand	PROPN
archive-397	154	11	j	j	PROPN
archive-397	154	12	is	be	AUX
archive-397	154	13	a	a	DET
archive-397	154	14	random	random	ADJ
archive-397	154	15	number	number	NOUN
archive-397	154	16	in	in	ADP
archive-397	154	17	the	the	DET
archive-397	154	18	interval	interval	NOUN
archive-397	154	19	[	[	X
archive-397	154	20	0,1	0,1	NUM
archive-397	154	21	]	]	PUNCT
archive-397	154	22	.	.	PUNCT
archive-397	155	1	baesd	baesd	NOUN
archive-397	155	2	on	on	ADP
archive-397	155	3	the	the	DET
archive-397	155	4	law	law	NOUN
archive-397	155	5	of	of	ADP
archive-397	155	6	motion	motion	NOUN
archive-397	155	7	,	,	PUNCT
archive-397	155	8	the	the	DET
archive-397	155	9	acceleration	acceleration	NOUN
archive-397	155	10	of	of	ADP
archive-397	155	11	an	an	DET
archive-397	155	12	agent	agent	NOUN
archive-397	155	13	is	be	AUX
archive-397	155	14	proportional	proportional	ADJ
archive-397	155	15	to	to	ADP
archive-397	155	16	the	the	DET
archive-397	155	17	result	result	NOUN
archive-397	155	18	force	force	NOUN
archive-397	155	19	and	and	CCONJ
archive-397	155	20	inverse	inverse	NOUN
archive-397	155	21	of	of	ADP
archive-397	155	22	its	its	PRON
archive-397	155	23	mass	mass	NOUN
archive-397	155	24	,	,	PUNCT
archive-397	155	25	therefore	therefore	ADV
archive-397	155	26	the	the	DET
archive-397	155	27	acceleration	acceleration	NOUN
archive-397	155	28	of	of	ADP
archive-397	155	29	all	all	DET
archive-397	155	30	agents	agent	NOUN
archive-397	155	31	can	can	AUX
archive-397	155	32	be	be	AUX
archive-397	155	33	calculated	calculate	VERB
archive-397	155	34	using	use	VERB
archive-397	155	35	equation	equation	NOUN
archive-397	155	36	(	(	PUNCT
archive-397	155	37	6	6	NUM
archive-397	155	38	):	):	PUNCT
archive-397	155	39	acd	acd	NOUN
archive-397	155	40	i	i	PRON
archive-397	155	41	(	(	PUNCT
archive-397	155	42	t	t	PROPN
archive-397	155	43	)	)	PUNCT
archive-397	155	44	=	=	SYM
archive-397	156	1	fd	fd	INTJ
archive-397	156	2	i	i	PRON
archive-397	156	3	(	(	PUNCT
archive-397	156	4	t	t	PROPN
archive-397	156	5	)	)	PUNCT
archive-397	156	6	mii(t)′	mii(t)′	PROPN
archive-397	157	1	(	(	PUNCT
archive-397	157	2	6	6	NUM
archive-397	157	3	)	)	PUNCT
archive-397	157	4	where	where	SCONJ
archive-397	157	5	t	t	PROPN
archive-397	157	6	is	be	AUX
archive-397	157	7	a	a	DET
archive-397	157	8	specific	specific	ADJ
archive-397	157	9	time	time	NOUN
archive-397	157	10	and	and	CCONJ
archive-397	157	11	mi	mi	PROPN
archive-397	157	12	is	be	AUX
archive-397	157	13	the	the	DET
archive-397	157	14	mass	mass	NOUN
archive-397	157	15	of	of	ADP
archive-397	157	16	object	object	NOUN
archive-397	157	17	i.	i.	NOUN
archive-397	157	18	the	the	DET
archive-397	157	19	velocity	velocity	NOUN
archive-397	157	20	and	and	CCONJ
archive-397	157	21	position	position	NOUN
archive-397	157	22	of	of	ADP
archive-397	157	23	agents	agent	NOUN
archive-397	157	24	are	be	AUX
archive-397	157	25	calculated	calculate	VERB
archive-397	157	26	as	as	SCONJ
archive-397	157	27	follows	follow	VERB
archive-397	157	28	equation	equation	NOUN
archive-397	157	29	(	(	PUNCT
archive-397	157	30	7	7	NUM
archive-397	157	31	)	)	PUNCT
archive-397	157	32	&	&	CCONJ
archive-397	157	33	(	(	PUNCT
archive-397	157	34	8)	8)	NUM
archive-397	157	35	:	:	PUNCT
archive-397	157	36	veld	veld	NOUN
archive-397	157	37	i	i	PRON
archive-397	157	38	(	(	PUNCT
archive-397	157	39	t	t	PROPN
archive-397	157	40	+1	+1	PROPN
archive-397	157	41	)	)	PUNCT
archive-397	157	42	=	=	VERB
archive-397	158	1	randi×veld	randi×veld	VERB
archive-397	159	1	i	i	PRON
archive-397	159	2	(	(	PUNCT
archive-397	159	3	t)+acd	t)+acd	X
archive-397	159	4	i	i	PRON
archive-397	159	5	(	(	PUNCT
archive-397	159	6	t	t	PROPN
archive-397	159	7	)	)	PUNCT
archive-397	159	8	(	(	PUNCT
archive-397	159	9	7	7	X
archive-397	159	10	)	)	PUNCT
archive-397	159	11	xd	xd	INTJ
archive-397	159	12	i	i	PRON
archive-397	159	13	(	(	PUNCT
archive-397	159	14	t	t	PROPN
archive-397	159	15	+1	+1	PROPN
archive-397	159	16	)	)	PUNCT
archive-397	159	17	=	=	PUNCT
archive-397	160	1	xd	xd	INTJ
archive-397	160	2	i	i	PRON
archive-397	160	3	(	(	PUNCT
archive-397	160	4	t)+acveld	t)+acveld	PROPN
archive-397	160	5	i	i	PRON
archive-397	160	6	(	(	PUNCT
archive-397	160	7	t	t	PROPN
archive-397	160	8	+1	+1	PROPN
archive-397	160	9	)	)	PUNCT
archive-397	160	10	(	(	PUNCT
archive-397	160	11	8)	8)	NUM
archive-397	160	12	where	where	SCONJ
archive-397	160	13	randi	randi	PROPN
archive-397	160	14	is	be	AUX
archive-397	160	15	a	a	DET
archive-397	160	16	random	random	ADJ
archive-397	160	17	number	number	NOUN
archive-397	160	18	located	locate	VERB
archive-397	160	19	in	in	ADP
archive-397	160	20	the	the	DET
archive-397	160	21	interval	interval	NOUN
archive-397	160	22	[	[	X
archive-397	160	23	0,1	0,1	NOUN
archive-397	160	24	]	]	PUNCT
archive-397	160	25	.	.	PUNCT
archive-397	161	1	pg	pg	INTJ
archive-397	161	2	.	.	PUNCT
archive-397	162	1	488	488	NUM
archive-397	162	2	yassin	yassin	PROPN
archive-397	162	3	/	/	PUNCT
archive-397	162	4	the	the	DET
archive-397	162	5	academic	academic	ADJ
archive-397	162	6	research	research	NOUN
archive-397	162	7	community	community	NOUN
archive-397	162	8	publication	publication	NOUN
archive-397	162	9	all	all	DET
archive-397	162	10	masses	masse	NOUN
archive-397	162	11	in	in	ADP
archive-397	162	12	gsa	gsa	PROPN
archive-397	162	13	are	be	AUX
archive-397	162	14	initialized	initialize	VERB
archive-397	162	15	with	with	ADP
archive-397	162	16	basic	basic	ADJ
archive-397	162	17	values	value	NOUN
archive-397	162	18	,	,	PUNCT
archive-397	162	19	then	then	ADV
archive-397	162	20	the	the	DET
archive-397	162	21	velocities	velocity	NOUN
archive-397	162	22	values	value	VERB
archive-397	162	23	for	for	ADP
archive-397	162	24	all	all	DET
archive-397	162	25	masses	masse	NOUN
archive-397	162	26	are	be	AUX
archive-397	162	27	determined	determine	VERB
archive-397	162	28	by	by	ADP
archive-397	162	29	(	(	PUNCT
archive-397	162	30	7	7	NUM
archive-397	162	31	)	)	PUNCT
archive-397	162	32	,	,	PUNCT
archive-397	162	33	while	while	SCONJ
archive-397	162	34	the	the	DET
archive-397	162	35	gravitational	gravitational	ADJ
archive-397	162	36	constant	constant	ADJ
archive-397	162	37	,	,	PUNCT
archive-397	162	38	total	total	ADJ
archive-397	162	39	forces	force	NOUN
archive-397	162	40	,	,	PUNCT
archive-397	162	41	and	and	CCONJ
archive-397	162	42	accelerations	acceleration	NOUN
archive-397	162	43	values	value	NOUN
archive-397	162	44	are	be	AUX
archive-397	162	45	obtained	obtain	VERB
archive-397	162	46	using	use	VERB
archive-397	162	47	relations	relation	NOUN
archive-397	162	48	(	(	PUNCT
archive-397	162	49	4	4	NUM
archive-397	162	50	)	)	PUNCT
archive-397	162	51	and	and	CCONJ
archive-397	162	52	(	(	PUNCT
archive-397	162	53	5	5	X
archive-397	162	54	)	)	PUNCT
archive-397	162	55	independently	independently	ADV
archive-397	162	56	one	one	NUM
archive-397	162	57	by	by	ADP
archive-397	162	58	one	one	NUM
archive-397	162	59	at	at	ADP
archive-397	162	60	the	the	DET
archive-397	162	61	same	same	ADJ
archive-397	162	62	time	time	NOUN
archive-397	162	63	.	.	PUNCT
archive-397	163	1	the	the	DET
archive-397	163	2	positions	position	NOUN
archive-397	163	3	of	of	ADP
archive-397	163	4	masses	masse	NOUN
archive-397	163	5	are	be	AUX
archive-397	163	6	determined	determine	VERB
archive-397	163	7	by	by	ADP
archive-397	163	8	(	(	PUNCT
archive-397	163	9	8)	8)	NUM
archive-397	163	10	.	.	PUNCT
archive-397	164	1	lastly	lastly	ADV
archive-397	164	2	,	,	PUNCT
archive-397	164	3	the	the	DET
archive-397	164	4	gsa	gsa	PROPN
archive-397	164	5	will	will	AUX
archive-397	164	6	not	not	PART
archive-397	164	7	stop	stop	VERB
archive-397	164	8	until	until	SCONJ
archive-397	164	9	the	the	DET
archive-397	164	10	end	end	NOUN
archive-397	164	11	criteria	criterion	NOUN
archive-397	164	12	are	be	AUX
archive-397	164	13	accomplished	accomplish	VERB
archive-397	164	14	.	.	PUNCT
archive-397	165	1	the	the	DET
archive-397	165	2	steps	step	NOUN
archive-397	165	3	of	of	ADP
archive-397	165	4	the	the	DET
archive-397	165	5	gsa	gsa	PROPN
archive-397	165	6	algorithm	algorithm	PROPN
archive-397	165	7	are	be	AUX
archive-397	165	8	described	describe	VERB
archive-397	165	9	in	in	ADP
archive-397	165	10	figure	figure	NOUN
archive-397	165	11	3	3	NUM
archive-397	165	12	.	.	PUNCT
archive-397	165	13	a	a	DET
archive-397	165	14	hybrid	hybrid	ADJ
archive-397	165	15	pso	pso	NOUN
archive-397	165	16	with	with	ADP
archive-397	165	17	gsa	gsa	PROPN
archive-397	165	18	are	be	AUX
archive-397	165	19	used	use	VERB
archive-397	165	20	using	use	VERB
archive-397	165	21	low	low	ADJ
archive-397	165	22	-	-	PUNCT
archive-397	165	23	level	level	NOUN
archive-397	165	24	co	co	ADJ
archive-397	165	25	-	-	ADJ
archive-397	165	26	evolutionary	evolutionary	ADJ
archive-397	165	27	heterogeneous	heterogeneous	ADJ
archive-397	165	28	method	method	NOUN
archive-397	165	29	’s	’s	NOUN
archive-397	165	30	.	.	PUNCT
archive-397	166	1	the	the	DET
archive-397	166	2	basic	basic	ADJ
archive-397	166	3	idea	idea	NOUN
archive-397	166	4	of	of	ADP
archive-397	166	5	psogsa	psogsa	NOUN
archive-397	166	6	is	be	AUX
archive-397	166	7	to	to	PART
archive-397	166	8	combine	combine	VERB
archive-397	166	9	the	the	DET
archive-397	166	10	ability	ability	NOUN
archive-397	166	11	of	of	ADP
archive-397	166	12	social	social	ADJ
archive-397	166	13	thinking	thinking	NOUN
archive-397	166	14	(	(	PUNCT
archive-397	166	15	gbest	gbest	NOUN
archive-397	166	16	)	)	PUNCT
archive-397	166	17	in	in	ADP
archive-397	166	18	pso	pso	NOUN
archive-397	166	19	with	with	ADP
archive-397	166	20	the	the	DET
archive-397	166	21	local	local	ADJ
archive-397	166	22	search	search	NOUN
archive-397	166	23	capability	capability	NOUN
archive-397	166	24	of	of	ADP
archive-397	166	25	gsa	gsa	PROPN
archive-397	166	26	using	use	VERB
archive-397	166	27	equation	equation	NOUN
archive-397	166	28	(	(	PUNCT
archive-397	166	29	9	9	NUM
archive-397	166	30	)	)	PUNCT
archive-397	166	31	.	.	PUNCT
archive-397	167	1	vi	vi	PROPN
archive-397	168	1	(	(	PUNCT
archive-397	168	2	t	t	PROPN
archive-397	168	3	+1	+1	PROPN
archive-397	168	4	)	)	PUNCT
archive-397	169	1	=	=	PROPN
archive-397	169	2	w	w	NOUN
archive-397	169	3	×vi	×vi	PROPN
archive-397	169	4	(	(	PUNCT
archive-397	169	5	t)+c	t)+c	NOUN
archive-397	169	6	′	′	NUM
archive-397	169	7	1×	1×	NUM
archive-397	169	8	rand×aci(t)+c	rand×aci(t)+c	VERB
archive-397	169	9	′	′	NUM
archive-397	169	10	2×	2×	NUM
archive-397	169	11	rand(gbest−	rand(gbest−	PROPN
archive-397	169	12	xi	xi	X
archive-397	169	13	(	(	PUNCT
archive-397	169	14	t	t	PROPN
archive-397	169	15	)	)	PUNCT
archive-397	169	16	)	)	PUNCT
archive-397	169	17	(	(	PUNCT
archive-397	169	18	9	9	X
archive-397	169	19	)	)	PUNCT
archive-397	169	20	where	where	SCONJ
archive-397	169	21	vi(t	vi(t	NOUN
archive-397	169	22	)	)	PUNCT
archive-397	169	23	:	:	PUNCT
archive-397	169	24	is	be	AUX
archive-397	169	25	the	the	DET
archive-397	169	26	velocity	velocity	NOUN
archive-397	169	27	of	of	ADP
archive-397	169	28	agent	agent	NOUN
archive-397	169	29	i	i	PRON
archive-397	169	30	at	at	ADP
archive-397	169	31	iteration	iteration	PROPN
archive-397	169	32	t	t	PROPN
archive-397	169	33	,	,	PUNCT
archive-397	169	34	c	c	PROPN
archive-397	169	35	′	′	NUM
archive-397	169	36	j	j	NOUN
archive-397	169	37	:	:	PUNCT
archive-397	169	38	is	be	AUX
archive-397	169	39	a	a	DET
archive-397	169	40	weighting	weighting	NOUN
archive-397	169	41	factor	factor	NOUN
archive-397	169	42	,	,	PUNCT
archive-397	169	43	w	w	PROPN
archive-397	169	44	:	:	PUNCT
archive-397	169	45	is	be	AUX
archive-397	169	46	a	a	DET
archive-397	169	47	weighting	weighting	NOUN
archive-397	169	48	function	function	NOUN
archive-397	169	49	,	,	PUNCT
archive-397	169	50	rand	rand	NOUN
archive-397	169	51	:	:	PUNCT
archive-397	169	52	is	be	AUX
archive-397	169	53	a	a	DET
archive-397	169	54	random	random	ADJ
archive-397	169	55	number	number	NOUN
archive-397	169	56	between	between	ADP
archive-397	169	57	0	0	NUM
archive-397	169	58	and	and	CCONJ
archive-397	169	59	1	1	NUM
archive-397	169	60	,	,	PUNCT
archive-397	169	61	aci(t	aci(t	NUM
archive-397	169	62	):	):	PUNCT
archive-397	169	63	is	be	AUX
archive-397	169	64	the	the	DET
archive-397	169	65	acceleration	acceleration	NOUN
archive-397	169	66	of	of	ADP
archive-397	169	67	agent	agent	NOUN
archive-397	169	68	i	i	PRON
archive-397	169	69	at	at	ADP
archive-397	169	70	iteration	iteration	PROPN
archive-397	169	71	t	t	PROPN
archive-397	169	72	,	,	PUNCT
archive-397	169	73	and	and	CCONJ
archive-397	169	74	gbest	gbest	VERB
archive-397	169	75	:	:	PUNCT
archive-397	169	76	is	be	AUX
archive-397	169	77	the	the	DET
archive-397	169	78	best	good	ADJ
archive-397	169	79	solution	solution	NOUN
archive-397	169	80	so	so	ADV
archive-397	169	81	far	far	ADV
archive-397	169	82	.	.	PUNCT
archive-397	170	1	the	the	DET
archive-397	170	2	positions	position	NOUN
archive-397	170	3	of	of	ADP
archive-397	170	4	particles	particle	NOUN
archive-397	170	5	are	be	AUX
archive-397	170	6	updated	update	VERB
archive-397	170	7	on	on	ADP
archive-397	170	8	each	each	DET
archive-397	170	9	iteration	iteration	NOUN
archive-397	170	10	,	,	PUNCT
archive-397	170	11	using	use	VERB
archive-397	170	12	equation	equation	NOUN
archive-397	170	13	(	(	PUNCT
archive-397	170	14	10	10	NUM
archive-397	170	15	):	):	PUNCT
archive-397	170	16	xi	xi	PROPN
archive-397	170	17	(	(	PUNCT
archive-397	170	18	t	t	PROPN
archive-397	170	19	+1	+1	PROPN
archive-397	170	20	)	)	PUNCT
archive-397	171	1	=	=	SYM
archive-397	171	2	xi	xi	X
archive-397	171	3	(	(	PUNCT
archive-397	171	4	t)+	t)+	NOUN
archive-397	171	5	vi	vi	PROPN
archive-397	171	6	(	(	PUNCT
archive-397	171	7	t	t	PROPN
archive-397	171	8	+1	+1	PROPN
archive-397	171	9	)	)	PUNCT
archive-397	171	10	(	(	PUNCT
archive-397	171	11	10	10	NUM
archive-397	171	12	)	)	PUNCT
archive-397	171	13	all	all	DET
archive-397	171	14	agents	agent	NOUN
archive-397	171	15	in	in	ADP
archive-397	171	16	psogsa	psogsa	NOUN
archive-397	171	17	are	be	AUX
archive-397	171	18	randomly	randomly	ADV
archive-397	171	19	initialized	initialize	VERB
archive-397	171	20	.	.	PUNCT
archive-397	172	1	then	then	ADV
archive-397	172	2	the	the	DET
archive-397	172	3	gravitational	gravitational	ADJ
archive-397	172	4	force	force	NOUN
archive-397	172	5	,	,	PUNCT
archive-397	172	6	gravitational	gravitational	ADJ
archive-397	172	7	constant	constant	ADJ
archive-397	172	8	,	,	PUNCT
archive-397	172	9	and	and	CCONJ
archive-397	172	10	resultant	resultant	NOUN
archive-397	172	11	forces	force	NOUN
archive-397	172	12	,	,	PUNCT
archive-397	172	13	among	among	ADP
archive-397	172	14	agents	agent	NOUN
archive-397	172	15	are	be	AUX
archive-397	172	16	determined	determine	VERB
archive-397	172	17	by	by	ADP
archive-397	172	18	equation	equation	NOUN
archive-397	172	19	(	(	PUNCT
archive-397	172	20	3	3	NUM
archive-397	172	21	)	)	PUNCT
archive-397	172	22	,	,	PUNCT
archive-397	172	23	(	(	PUNCT
archive-397	172	24	4	4	NUM
archive-397	172	25	)	)	PUNCT
archive-397	172	26	,	,	PUNCT
archive-397	172	27	and	and	CCONJ
archive-397	172	28	(	(	PUNCT
archive-397	172	29	5	5	NUM
archive-397	172	30	)	)	PUNCT
archive-397	172	31	,	,	PUNCT
archive-397	172	32	and	and	CCONJ
archive-397	172	33	the	the	DET
archive-397	172	34	accelerations	acceleration	NOUN
archive-397	172	35	of	of	ADP
archive-397	172	36	particles	particle	NOUN
archive-397	172	37	are	be	AUX
archive-397	172	38	determined	determine	VERB
archive-397	172	39	by	by	ADP
archive-397	172	40	equation	equation	NOUN
archive-397	172	41	(	(	PUNCT
archive-397	172	42	6	6	NUM
archive-397	172	43	)	)	PUNCT
archive-397	172	44	.	.	PUNCT
archive-397	173	1	at	at	ADP
archive-397	173	2	each	each	DET
archive-397	173	3	iteration	iteration	NOUN
archive-397	173	4	,	,	PUNCT
archive-397	173	5	the	the	DET
archive-397	173	6	best	good	ADJ
archive-397	173	7	solution	solution	NOUN
archive-397	173	8	only	only	ADV
archive-397	173	9	will	will	AUX
archive-397	173	10	be	be	AUX
archive-397	173	11	updated	update	VERB
archive-397	173	12	and	and	CCONJ
archive-397	173	13	the	the	DET
archive-397	173	14	velocities	velocity	NOUN
archive-397	173	15	values	value	NOUN
archive-397	173	16	of	of	ADP
archive-397	173	17	all	all	DET
archive-397	173	18	agents	agent	NOUN
archive-397	173	19	are	be	AUX
archive-397	173	20	determined	determine	VERB
archive-397	173	21	by	by	ADP
archive-397	173	22	(	(	PUNCT
archive-397	173	23	9	9	NUM
archive-397	173	24	)	)	PUNCT
archive-397	173	25	.	.	PUNCT
archive-397	174	1	at	at	ADP
archive-397	174	2	last	last	ADJ
archive-397	174	3	,	,	PUNCT
archive-397	174	4	the	the	DET
archive-397	174	5	positions	position	NOUN
archive-397	174	6	of	of	ADP
archive-397	174	7	all	all	DET
archive-397	174	8	agents	agent	NOUN
archive-397	174	9	are	be	AUX
archive-397	174	10	calculated	calculate	VERB
archive-397	174	11	using	use	VERB
archive-397	174	12	equation	equation	NOUN
archive-397	174	13	(	(	PUNCT
archive-397	174	14	10	10	NUM
archive-397	174	15	)	)	PUNCT
archive-397	174	16	.	.	PUNCT
archive-397	175	1	the	the	DET
archive-397	175	2	value	value	NOUN
archive-397	175	3	of	of	ADP
archive-397	175	4	solutions	solution	NOUN
archive-397	175	5	(	(	PUNCT
archive-397	175	6	fitness	fitness	NOUN
archive-397	175	7	)	)	PUNCT
archive-397	175	8	in	in	ADP
archive-397	175	9	psogsa	psogsa	NOUN
archive-397	175	10	is	be	AUX
archive-397	175	11	updating	update	VERB
archive-397	175	12	and	and	CCONJ
archive-397	175	13	the	the	DET
archive-397	175	14	agents	agent	NOUN
archive-397	175	15	near	near	ADP
archive-397	175	16	by	by	ADP
archive-397	175	17	appropriate	appropriate	ADJ
archive-397	175	18	solutions	solution	NOUN
archive-397	175	19	attempt	attempt	NOUN
archive-397	175	20	to	to	PART
archive-397	175	21	induce	induce	VERB
archive-397	175	22	the	the	DET
archive-397	175	23	other	other	ADJ
archive-397	175	24	agents	agent	NOUN
archive-397	175	25	in	in	ADP
archive-397	175	26	the	the	DET
archive-397	175	27	search	search	NOUN
archive-397	175	28	problem	problem	NOUN
archive-397	175	29	.	.	PUNCT
archive-397	176	1	the	the	DET
archive-397	176	2	agents	agent	NOUN
archive-397	176	3	move	move	VERB
archive-397	176	4	very	very	ADV
archive-397	176	5	slowly	slowly	ADV
archive-397	176	6	when	when	SCONJ
archive-397	176	7	they	they	PRON
archive-397	176	8	are	be	AUX
archive-397	176	9	near	near	ADP
archive-397	176	10	the	the	DET
archive-397	176	11	good	good	ADJ
archive-397	176	12	solution	solution	NOUN
archive-397	176	13	.	.	PUNCT
archive-397	177	1	psogsa	psogsa	NOUN
archive-397	177	2	use	use	VERB
archive-397	177	3	a	a	DET
archive-397	177	4	memory	memory	NOUN
archive-397	177	5	(	(	PUNCT
archive-397	177	6	gbest	gbest	NOUN
archive-397	177	7	)	)	PUNCT
archive-397	177	8	to	to	PART
archive-397	177	9	save	save	VERB
archive-397	177	10	the	the	DET
archive-397	177	11	best	good	ADJ
archive-397	177	12	solution	solution	NOUN
archive-397	177	13	has	have	AUX
archive-397	177	14	found	find	VERB
archive-397	177	15	so	so	ADV
archive-397	177	16	far	far	ADV
archive-397	177	17	.	.	PUNCT
archive-397	178	1	by	by	ADP
archive-397	178	2	correcting	correct	VERB
archive-397	178	3	the	the	DET
archive-397	178	4	c	c	NOUN
archive-397	178	5	′	′	NUM
archive-397	178	6	1	1	NUM
archive-397	178	7	and	and	CCONJ
archive-397	178	8	c	c	NOUN
archive-397	178	9	′	′	NUM
archive-397	178	10	2	2	NUM
archive-397	178	11	values	value	NOUN
archive-397	178	12	,	,	PUNCT
archive-397	178	13	the	the	DET
archive-397	178	14	capabilities	capability	NOUN
archive-397	178	15	of	of	ADP
archive-397	178	16	global	global	ADJ
archive-397	178	17	search	search	NOUN
archive-397	178	18	and	and	CCONJ
archive-397	178	19	local	local	ADJ
archive-397	178	20	search	search	NOUN
archive-397	178	21	can	can	AUX
archive-397	178	22	be	be	AUX
archive-397	178	23	equally	equally	ADV
archive-397	178	24	adjusted	adjust	VERB
archive-397	178	25	,	,	PUNCT
archive-397	178	26	and	and	CCONJ
archive-397	178	27	each	each	DET
archive-397	178	28	agent	agent	NOUN
archive-397	178	29	can	can	AUX
archive-397	178	30	detect	detect	VERB
archive-397	178	31	the	the	DET
archive-397	178	32	best	good	ADJ
archive-397	178	33	solution	solution	NOUN
archive-397	178	34	and	and	CCONJ
archive-397	178	35	go	go	VERB
archive-397	178	36	near	near	ADP
archive-397	178	37	it	it	PRON
archive-397	178	38	.	.	PUNCT
archive-397	179	1	6	6	X
archive-397	179	2	.	.	X
archive-397	179	3	the	the	DET
archive-397	179	4	proposed	propose	VERB
archive-397	179	5	model	model	NOUN
archive-397	179	6	in	in	ADP
archive-397	179	7	this	this	DET
archive-397	179	8	paper	paper	NOUN
archive-397	179	9	,	,	PUNCT
archive-397	179	10	both	both	DET
archive-397	179	11	particle	particle	NOUN
archive-397	179	12	swarm	swarm	NOUN
archive-397	179	13	optimization	optimization	NOUN
archive-397	179	14	(	(	PUNCT
archive-397	179	15	pso	pso	NOUN
archive-397	179	16	)	)	PUNCT
archive-397	179	17	and	and	CCONJ
archive-397	179	18	gravitational	gravitational	ADJ
archive-397	179	19	search	search	NOUN
archive-397	179	20	algorithm	algorithm	NOUN
archive-397	179	21	(	(	PUNCT
archive-397	179	22	gsa	gsa	PROPN
archive-397	179	23	)	)	PUNCT
archive-397	179	24	wereadapted	wereadapte	VERB
archive-397	179	25	to	to	PART
archive-397	179	26	neural	neural	ADJ
archive-397	179	27	network	network	NOUN
archive-397	179	28	to	to	PART
archive-397	179	29	get	get	VERB
archive-397	179	30	the	the	DET
archive-397	179	31	optimum	optimum	ADJ
archive-397	179	32	weights	weight	NOUN
archive-397	179	33	and	and	CCONJ
archive-397	179	34	biases	bias	NOUN
archive-397	179	35	that	that	PRON
archive-397	179	36	give	give	VERB
archive-397	179	37	minimum	minimum	NOUN
archive-397	179	38	error	error	NOUN
archive-397	179	39	and	and	CCONJ
archive-397	179	40	higher	high	ADJ
archive-397	179	41	classification	classification	NOUN
archive-397	179	42	rate	rate	NOUN
archive-397	179	43	for	for	ADP
archive-397	179	44	the	the	DET
archive-397	179	45	feed	feed	NOUN
archive-397	179	46	-	-	PUNCT
archive-397	179	47	forward	forward	ADV
archive-397	179	48	neural	neural	ADJ
archive-397	179	49	network	network	NOUN
archive-397	179	50	(	(	PUNCT
archive-397	179	51	ffnn	ffnn	NOUN
archive-397	179	52	)	)	PUNCT
archive-397	179	53	.	.	PUNCT
archive-397	180	1	with	with	ADP
archive-397	180	2	the	the	DET
archive-397	180	3	aim	aim	NOUN
archive-397	180	4	of	of	ADP
archive-397	180	5	investigating	investigate	VERB
archive-397	180	6	the	the	DET
archive-397	180	7	algorithm	algorithm	NOUN
archive-397	180	8	ffnn	ffnn	NOUN
archive-397	180	9	-	-	PUNCT
archive-397	180	10	pso	pso	NOUN
archive-397	180	11	or	or	CCONJ
archive-397	180	12	ffnn	ffnn	NOUN
archive-397	180	13	-	-	PUNCT
archive-397	180	14	gsa	gsa	PROPN
archive-397	180	15	,	,	PUNCT
archive-397	180	16	the	the	DET
archive-397	180	17	following	follow	VERB
archive-397	180	18	essential	essential	ADJ
archive-397	180	19	parameters	parameter	NOUN
archive-397	180	20	have	have	VERB
archive-397	180	21	to	to	PART
archive-397	180	22	be	be	AUX
archive-397	180	23	clarified	clarify	VERB
archive-397	180	24	.	.	PUNCT
archive-397	181	1	first	first	ADV
archive-397	181	2	,	,	PUNCT
archive-397	181	3	an	an	DET
archive-397	181	4	objective	objective	ADJ
archive-397	181	5	function	function	NOUN
archive-397	181	6	using	use	VERB
archive-397	181	7	the	the	DET
archive-397	181	8	error	error	NOUN
archive-397	181	9	of	of	ADP
archive-397	181	10	the	the	DET
archive-397	181	11	ffnn	ffnn	NOUN
archive-397	181	12	should	should	AUX
archive-397	181	13	be	be	AUX
archive-397	181	14	introduced	introduce	VERB
archive-397	181	15	to	to	PART
archive-397	181	16	determine	determine	VERB
archive-397	181	17	particles	particle	NOUN
archive-397	181	18	’	'	PUNCT
archive-397	181	19	fitness	fitness	NOUN
archive-397	181	20	in	in	ADP
archive-397	181	21	ffnn	ffnn	NOUN
archive-397	181	22	-	-	PUNCT
archive-397	181	23	pso	pso	NOUN
archive-397	181	24	and	and	CCONJ
archive-397	181	25	agents	agent	NOUN
archive-397	181	26	’	'	PUNCT
archive-397	181	27	in	in	ADP
archive-397	181	28	ffnn	ffnn	PROPN
archive-397	181	29	-	-	PUNCT
archive-397	181	30	gsa	gsa	PROPN
archive-397	181	31	.	.	PUNCT
archive-397	182	1	second	second	PROPN
archive-397	182	2	,	,	PUNCT
archive-397	182	3	an	an	DET
archive-397	182	4	encoding	encoding	NOUN
archive-397	182	5	strategy	strategy	NOUN
archive-397	182	6	should	should	AUX
archive-397	182	7	be	be	AUX
archive-397	182	8	defined	define	VERB
archive-397	182	9	to	to	PART
archive-397	182	10	encode	encode	VERB
archive-397	182	11	the	the	DET
archive-397	182	12	weights	weight	NOUN
archive-397	182	13	and	and	CCONJ
archive-397	182	14	biases	bias	NOUN
archive-397	182	15	of	of	ADP
archive-397	182	16	the	the	DET
archive-397	182	17	ffnn	ffnn	NOUN
archive-397	182	18	for	for	ADP
archive-397	182	19	the	the	DET
archive-397	182	20	particles	particle	NOUN
archive-397	182	21	of	of	ADP
archive-397	182	22	the	the	DET
archive-397	182	23	ffnn	ffnn	NOUN
archive-397	182	24	-	-	PUNCT
archive-397	182	25	pso	pso	NOUN
archive-397	182	26	and	and	CCONJ
archive-397	182	27	the	the	DET
archive-397	182	28	agents	agent	NOUN
archive-397	182	29	of	of	ADP
archive-397	182	30	the	the	DET
archive-397	182	31	ffnngsa	ffnngsa	ADJ
archive-397	182	32	.	.	PUNCT
archive-397	183	1	all	all	DET
archive-397	183	2	steps	step	NOUN
archive-397	183	3	of	of	ADP
archive-397	183	4	the	the	DET
archive-397	183	5	proposed	propose	VERB
archive-397	183	6	model	model	NOUN
archive-397	183	7	are	be	AUX
archive-397	183	8	shown	show	VERB
archive-397	183	9	in	in	ADP
archive-397	183	10	figure	figure	NOUN
archive-397	183	11	4	4	NUM
archive-397	183	12	.	.	PUNCT
archive-397	184	1	pg	pg	INTJ
archive-397	184	2	.	.	PUNCT
archive-397	185	1	489	489	NUM
archive-397	185	2	yassin	yassin	PROPN
archive-397	185	3	/	/	PUNCT
archive-397	185	4	the	the	DET
archive-397	185	5	academic	academic	ADJ
archive-397	185	6	research	research	NOUN
archive-397	185	7	community	community	NOUN
archive-397	185	8	publication	publication	NOUN
archive-397	185	9	figure	figure	NOUN
archive-397	185	10	3	3	NUM
archive-397	185	11	.	.	NOUN
archive-397	185	12	steps	step	NOUN
archive-397	185	13	of	of	ADP
archive-397	185	14	the	the	DET
archive-397	185	15	gsa	gsa	PROPN
archive-397	185	16	algorithm	algorithm	PROPN
archive-397	185	17	figure	figure	NOUN
archive-397	185	18	4	4	NUM
archive-397	185	19	.	.	PUNCT
archive-397	185	20	steps	step	NOUN
archive-397	185	21	of	of	ADP
archive-397	185	22	the	the	DET
archive-397	185	23	hybrid	hybrid	ADJ
archive-397	185	24	psogsa	psogsa	NOUN
archive-397	185	25	algorithm	algorithm	PROPN
archive-397	185	26	pg	pg	PROPN
archive-397	185	27	.	.	PROPN
archive-397	185	28	490	490	NUM
archive-397	185	29	yassin	yassin	PROPN
archive-397	185	30	/	/	PUNCT
archive-397	185	31	the	the	DET
archive-397	185	32	academic	academic	ADJ
archive-397	185	33	research	research	NOUN
archive-397	185	34	community	community	NOUN
archive-397	185	35	publication	publication	NOUN
archive-397	185	36	6.1	6.1	NUM
archive-397	185	37	.	.	PUNCT
archive-397	186	1	the	the	DET
archive-397	186	2	related	relate	VERB
archive-397	186	3	objective	objective	ADJ
archive-397	186	4	function	function	NOUN
archive-397	186	5	the	the	DET
archive-397	186	6	objective	objective	ADJ
archive-397	186	7	function	function	NOUN
archive-397	186	8	can	can	AUX
archive-397	186	9	be	be	AUX
archive-397	186	10	described	describe	VERB
archive-397	186	11	as	as	SCONJ
archive-397	186	12	follows	follow	VERB
archive-397	186	13	:	:	PUNCT
archive-397	186	14	the	the	DET
archive-397	186	15	neural	neural	ADJ
archive-397	186	16	network	network	NOUN
archive-397	186	17	ffnn	ffnn	NOUN
archive-397	186	18	has	have	VERB
archive-397	186	19	three	three	NUM
archive-397	186	20	layers	layer	NOUN
archive-397	186	21	(	(	PUNCT
archive-397	186	22	1	1	NUM
archive-397	186	23	input	input	NOUN
archive-397	186	24	with	with	ADP
archive-397	186	25	n	n	ADP
archive-397	186	26	nodes	node	NOUN
archive-397	186	27	,	,	PUNCT
archive-397	186	28	1	1	NUM
archive-397	186	29	hidden	hide	VERB
archive-397	186	30	with	with	ADP
archive-397	186	31	h	h	NOUN
archive-397	186	32	nodes	node	NOUN
archive-397	186	33	,	,	PUNCT
archive-397	186	34	and	and	CCONJ
archive-397	186	35	1	1	NUM
archive-397	186	36	output	output	NOUN
archive-397	186	37	layer	layer	NOUN
archive-397	186	38	with	with	ADP
archive-397	186	39	h	h	NOUN
archive-397	186	40	nodes	node	NOUN
archive-397	186	41	)	)	PUNCT
archive-397	186	42	.	.	PUNCT
archive-397	187	1	the	the	DET
archive-397	187	2	output	output	NOUN
archive-397	187	3	of	of	ADP
archive-397	187	4	each	each	DET
archive-397	187	5	hidden	hide	VERB
archive-397	187	6	node	node	NOUN
archive-397	187	7	at	at	ADP
archive-397	187	8	each	each	DET
archive-397	187	9	epoch	epoch	NOUN
archive-397	187	10	of	of	ADP
archive-397	187	11	learning	learn	VERB
archive-397	187	12	process	process	NOUN
archive-397	187	13	is	be	AUX
archive-397	187	14	given	give	VERB
archive-397	187	15	by	by	ADP
archive-397	187	16	equation	equation	NOUN
archive-397	187	17	(	(	PUNCT
archive-397	187	18	11	11	NUM
archive-397	187	19	)	)	PUNCT
archive-397	187	20	,	,	PUNCT
archive-397	187	21	(	(	PUNCT
archive-397	187	22	12	12	NUM
archive-397	187	23	):	):	PUNCT
archive-397	187	24	f	f	PROPN
archive-397	187	25	(	(	PUNCT
archive-397	187	26	s	s	PROPN
archive-397	187	27	j	j	NOUN
archive-397	187	28	)	)	PUNCT
archive-397	188	1	=	=	PROPN
archive-397	188	2	1/(+exp(−(∑n	1/(+exp(−(∑n	NOUN
archive-397	188	3	i=1wi	i=1wi	X
archive-397	188	4	jxi	jxi	PROPN
archive-397	188	5	+	+	PROPN
archive-397	188	6	b	b	PROPN
archive-397	188	7	j	j	PROPN
archive-397	188	8	)	)	PUNCT
archive-397	188	9	)	)	PUNCT
archive-397	188	10	)	)	PUNCT
archive-397	189	1	(	(	PUNCT
archive-397	189	2	11	11	NUM
archive-397	189	3	)	)	PUNCT
archive-397	189	4	for	for	ADP
archive-397	189	5	j=1,2	j=1,2	ADJ
archive-397	189	6	,	,	PUNCT
archive-397	189	7	.	.	PUNCT
archive-397	189	8	.	.	PUNCT
archive-397	189	9	.	.	PUNCT
archive-397	190	1	.,h	.,h	PUNCT
archive-397	190	2	s	s	PART
archive-397	190	3	j	j	PROPN
archive-397	190	4	=	=	SYM
archive-397	190	5	∑	∑	PROPN
archive-397	190	6	n	n	PROPN
archive-397	190	7	i=1wi	i=1wi	PROPN
archive-397	190	8	jxi	jxi	PROPN
archive-397	191	1	+	+	PROPN
archive-397	191	2	b	b	PROPN
archive-397	191	3	j	j	PROPN
archive-397	191	4	(	(	PUNCT
archive-397	191	5	12	12	NUM
archive-397	191	6	)	)	PUNCT
archive-397	191	7	where	where	SCONJ
archive-397	191	8	(	(	PUNCT
archive-397	191	9	n	n	CCONJ
archive-397	191	10	)	)	PUNCT
archive-397	191	11	value	value	NOUN
archive-397	191	12	is	be	AUX
archive-397	191	13	the	the	DET
archive-397	191	14	number	number	NOUN
archive-397	191	15	of	of	ADP
archive-397	191	16	the	the	DET
archive-397	191	17	input	input	NOUN
archive-397	191	18	nodes,(wij)value	nodes,(wij)value	NOUN
archive-397	191	19	is	be	AUX
archive-397	191	20	the	the	DET
archive-397	191	21	connection	connection	NOUN
archive-397	191	22	weight	weight	NOUN
archive-397	191	23	from	from	ADP
archive-397	191	24	the	the	DET
archive-397	191	25	ith	ith	PROPN
archive-397	191	26	node	node	NOUN
archive-397	191	27	in	in	ADP
archive-397	191	28	the	the	DET
archive-397	191	29	input	input	NOUN
archive-397	191	30	layer	layer	NOUN
archive-397	191	31	to	to	ADP
archive-397	191	32	the	the	DET
archive-397	191	33	jth	jth	PROPN
archive-397	191	34	node	node	NOUN
archive-397	191	35	in	in	ADP
archive-397	191	36	the	the	DET
archive-397	191	37	hidden	hide	VERB
archive-397	191	38	layer	layer	NOUN
archive-397	191	39	,	,	PUNCT
archive-397	191	40	bj	bj	NOUN
archive-397	191	41	is	be	AUX
archive-397	191	42	the	the	DET
archive-397	191	43	bias	bias	NOUN
archive-397	191	44	(	(	PUNCT
archive-397	191	45	threshold	threshold	NOUN
archive-397	191	46	)	)	PUNCT
archive-397	191	47	of	of	ADP
archive-397	191	48	the	the	DET
archive-397	191	49	jth	jth	PROPN
archive-397	191	50	hidden	hide	VERB
archive-397	191	51	node	node	NOUN
archive-397	191	52	,	,	PUNCT
archive-397	191	53	and	and	CCONJ
archive-397	191	54	xi	xi	PROPN
archive-397	191	55	is	be	AUX
archive-397	191	56	the	the	DET
archive-397	191	57	ith	ith	PROPN
archive-397	191	58	input	input	NOUN
archive-397	191	59	.	.	PUNCT
archive-397	192	1	after	after	ADP
archive-397	192	2	calculating	calculate	VERB
archive-397	192	3	outputs	output	NOUN
archive-397	192	4	of	of	ADP
archive-397	192	5	the	the	DET
archive-397	192	6	hidden	hide	VERB
archive-397	192	7	nodes	node	NOUN
archive-397	192	8	,	,	PUNCT
archive-397	192	9	the	the	DET
archive-397	192	10	final	final	ADJ
archive-397	192	11	output	output	NOUN
archive-397	192	12	can	can	AUX
archive-397	192	13	be	be	AUX
archive-397	192	14	defined	define	VERB
archive-397	192	15	in	in	ADP
archive-397	192	16	equation	equation	NOUN
archive-397	192	17	(	(	PUNCT
archive-397	192	18	13	13	NUM
archive-397	192	19	):	):	PUNCT
archive-397	192	20	ok	ok	ADJ
archive-397	192	21	=	=	PUNCT
archive-397	192	22	∑	∑	PUNCT
archive-397	192	23	k	k	PROPN
archive-397	192	24	i=1wk	i=1wk	PROPN
archive-397	193	1	j	j	PROPN
archive-397	193	2	f	f	PROPN
archive-397	193	3	(	(	PUNCT
archive-397	193	4	s	s	NOUN
archive-397	193	5	j)+bk	j)+bk	X
archive-397	193	6	(	(	PUNCT
archive-397	193	7	13	13	NUM
archive-397	193	8	)	)	PUNCT
archive-397	193	9	where	where	SCONJ
archive-397	193	10	(	(	PUNCT
archive-397	193	11	wkj	wkj	NOUN
archive-397	193	12	)	)	PUNCT
archive-397	193	13	value	value	NOUN
archive-397	193	14	is	be	AUX
archive-397	193	15	the	the	DET
archive-397	193	16	connection	connection	NOUN
archive-397	193	17	of	of	ADP
archive-397	193	18	weight	weight	NOUN
archive-397	193	19	from	from	ADP
archive-397	193	20	the	the	DET
archive-397	193	21	(	(	PUNCT
archive-397	193	22	jth	jth	PROPN
archive-397	193	23	)	)	PUNCT
archive-397	193	24	hidden	hide	VERB
archive-397	193	25	node	node	NOUN
archive-397	193	26	to	to	ADP
archive-397	193	27	the	the	DET
archive-397	193	28	(	(	PUNCT
archive-397	193	29	kth	kth	PROPN
archive-397	193	30	)	)	PUNCT
archive-397	193	31	output	output	NOUN
archive-397	193	32	node	node	NOUN
archive-397	193	33	,	,	PUNCT
archive-397	193	34	and	and	CCONJ
archive-397	193	35	(	(	PUNCT
archive-397	193	36	bk	bk	NOUN
archive-397	193	37	)	)	PUNCT
archive-397	193	38	is	be	AUX
archive-397	193	39	the	the	DET
archive-397	193	40	bias	bias	NOUN
archive-397	193	41	(	(	PUNCT
archive-397	193	42	threshold	threshold	NOUN
archive-397	193	43	)	)	PUNCT
archive-397	193	44	value	value	NOUN
archive-397	193	45	of	of	ADP
archive-397	193	46	the	the	DET
archive-397	193	47	(	(	PUNCT
archive-397	193	48	kth	kth	PROPN
archive-397	193	49	)	)	PUNCT
archive-397	193	50	output	output	NOUN
archive-397	193	51	node	node	NOUN
archive-397	193	52	.	.	PUNCT
archive-397	194	1	the	the	DET
archive-397	194	2	learning	learning	NOUN
archive-397	194	3	error	error	NOUN
archive-397	194	4	ek	ek	NOUN
archive-397	194	5	is	be	AUX
archive-397	194	6	obtained	obtain	VERB
archive-397	194	7	by	by	ADP
archive-397	194	8	equation	equation	NOUN
archive-397	194	9	(	(	PUNCT
archive-397	194	10	14	14	NUM
archive-397	194	11	)	)	PUNCT
archive-397	194	12	ek	ek	NOUN
archive-397	195	1	=	=	PUNCT
archive-397	195	2	∑	∑	PROPN
archive-397	195	3	m	m	X
archive-397	195	4	i=1(o	i=1(o	X
archive-397	195	5	k	k	X
archive-397	196	1	i	i	PRON
archive-397	196	2	−dk	−dk	INTJ
archive-397	197	1	i	i	NOUN
archive-397	197	2	)	)	PUNCT
archive-397	197	3	2	2	NUM
archive-397	197	4	(	(	PUNCT
archive-397	197	5	14	14	NUM
archive-397	197	6	)	)	PUNCT
archive-397	197	7	where	where	SCONJ
archive-397	197	8	(	(	PUNCT
archive-397	197	9	q	q	X
archive-397	197	10	)	)	PUNCT
archive-397	197	11	value	value	NOUN
archive-397	197	12	is	be	AUX
archive-397	197	13	the	the	DET
archive-397	197	14	number	number	NOUN
archive-397	197	15	of	of	ADP
archive-397	197	16	training	training	NOUN
archive-397	197	17	samples	sample	NOUN
archive-397	197	18	,	,	PUNCT
archive-397	197	19	(	(	PUNCT
archive-397	197	20	dik	dik	NOUN
archive-397	197	21	)	)	PUNCT
archive-397	197	22	value	value	NOUN
archive-397	197	23	is	be	AUX
archive-397	197	24	the	the	DET
archive-397	197	25	desired	desire	VERB
archive-397	197	26	output	output	NOUN
archive-397	197	27	of	of	ADP
archive-397	197	28	the	the	DET
archive-397	197	29	ith	ith	PROPN
archive-397	197	30	input	input	NOUN
archive-397	197	31	item	item	NOUN
archive-397	197	32	when	when	SCONJ
archive-397	197	33	the	the	DET
archive-397	197	34	(	(	PUNCT
archive-397	197	35	kth)vlaue	kth)vlaue	PROPN
archive-397	197	36	is	be	AUX
archive-397	197	37	used	use	VERB
archive-397	197	38	,	,	PUNCT
archive-397	197	39	and	and	CCONJ
archive-397	197	40	(	(	PUNCT
archive-397	197	41	yik	yik	PROPN
archive-397	197	42	)	)	PUNCT
archive-397	197	43	is	be	AUX
archive-397	197	44	the	the	DET
archive-397	197	45	real	real	ADJ
archive-397	197	46	output	output	NOUN
archive-397	197	47	value	value	NOUN
archive-397	197	48	of	of	ADP
archive-397	197	49	the	the	DET
archive-397	197	50	ith	ith	PROPN
archive-397	197	51	input	input	NOUN
archive-397	197	52	item	item	NOUN
archive-397	197	53	when	when	SCONJ
archive-397	197	54	the	the	DET
archive-397	197	55	(	(	PUNCT
archive-397	197	56	kth)value	kth)value	PROPN
archive-397	197	57	is	be	AUX
archive-397	197	58	used.so	used.so	PROPN
archive-397	197	59	,	,	PUNCT
archive-397	197	60	the	the	DET
archive-397	197	61	fitness	fitness	NOUN
archive-397	197	62	function	function	NOUN
archive-397	197	63	of	of	ADP
archive-397	197	64	the	the	DET
archive-397	197	65	(	(	PUNCT
archive-397	197	66	ith	ith	PROPN
archive-397	197	67	)	)	PUNCT
archive-397	197	68	training	training	NOUN
archive-397	197	69	example	example	NOUN
archive-397	197	70	using	use	VERB
archive-397	197	71	equation	equation	NOUN
archive-397	197	72	(	(	PUNCT
archive-397	197	73	15	15	NUM
archive-397	197	74	):	):	PUNCT
archive-397	197	75	fit(xi	fit(xi	X
archive-397	197	76	)	)	PUNCT
archive-397	198	1	=	=	SYM
archive-397	198	2	e(xi	e(xi	NUM
archive-397	198	3	)	)	PUNCT
archive-397	198	4	(	(	PUNCT
archive-397	198	5	15	15	NUM
archive-397	198	6	)	)	PUNCT
archive-397	198	7	6.2	6.2	NUM
archive-397	198	8	.	.	PUNCT
archive-397	199	1	equations	equation	NOUN
archive-397	199	2	of	of	ADP
archive-397	199	3	gsa	gsa	PROPN
archive-397	199	4	6.2.1	6.2.1	PROPN
archive-397	199	5	.	.	PUNCT
archive-397	200	1	setting	set	VERB
archive-397	200	2	the	the	DET
archive-397	200	3	agents	agent	NOUN
archive-397	200	4	setting	set	VERB
archive-397	200	5	the	the	DET
archive-397	200	6	position	position	NOUN
archive-397	200	7	value	value	NOUN
archive-397	200	8	of	of	ADP
archive-397	200	9	(	(	PUNCT
archive-397	200	10	n	n	CCONJ
archive-397	200	11	)	)	PUNCT
archive-397	200	12	number	number	NOUN
archive-397	200	13	of	of	ADP
archive-397	200	14	agents	agent	NOUN
archive-397	200	15	randomly	randomly	ADV
archive-397	200	16	by	by	ADP
archive-397	200	17	(	(	PUNCT
archive-397	200	18	16	16	NUM
archive-397	200	19	):	):	PUNCT
archive-397	200	20	xi	xi	X
archive-397	200	21	=	=	PUNCT
archive-397	200	22	(	(	PUNCT
archive-397	200	23	xl	xl	PROPN
archive-397	200	24	i	i	PROPN
archive-397	200	25	,	,	PUNCT
archive-397	200	26	...	...	PUNCT
archive-397	200	27	,	,	PUNCT
archive-397	200	28	x	x	X
archive-397	200	29	d	d	NOUN
archive-397	200	30	i	i	PRON
archive-397	200	31	,	,	PUNCT
archive-397	200	32	...	...	PUNCT
archive-397	200	33	,	,	PUNCT
archive-397	200	34	x	x	PUNCT
archive-397	200	35	n	n	VERB
archive-397	200	36	i	i	NOUN
archive-397	200	37	)	)	PUNCT
archive-397	200	38	(	(	PUNCT
archive-397	200	39	16	16	NUM
archive-397	200	40	)	)	PUNCT
archive-397	200	41	for	for	ADP
archive-397	200	42	i=1,2,	i=1,2,	NOUN
archive-397	200	43	....	....	PUNCT
archive-397	200	44	,n	,n	PUNCT
archive-397	200	45	xi	xi	PROPN
archive-397	200	46	represents	represent	VERB
archive-397	200	47	value	value	VERB
archive-397	200	48	the	the	DET
archive-397	200	49	positions	position	NOUN
archive-397	200	50	of	of	ADP
archive-397	200	51	the	the	DET
archive-397	200	52	ith	ith	PROPN
archive-397	200	53	agent	agent	NOUN
archive-397	200	54	in	in	ADP
archive-397	200	55	the	the	DET
archive-397	200	56	dth	dth	ADJ
archive-397	200	57	dimension	dimension	NOUN
archive-397	200	58	,	,	PUNCT
archive-397	200	59	while	while	SCONJ
archive-397	200	60	n	n	PRON
archive-397	200	61	is	be	AUX
archive-397	200	62	the	the	DET
archive-397	200	63	space	space	NOUN
archive-397	200	64	dimension	dimension	NOUN
archive-397	200	65	.	.	PUNCT
archive-397	201	1	calculating	calculate	VERB
archive-397	201	2	the	the	DET
archive-397	201	3	best	good	ADJ
archive-397	201	4	and	and	CCONJ
archive-397	201	5	worst	bad	ADJ
archive-397	201	6	fitness	fitness	NOUN
archive-397	201	7	for	for	ADP
archive-397	201	8	all	all	DET
archive-397	201	9	agents	agent	NOUN
archive-397	201	10	at	at	ADP
archive-397	201	11	each	each	DET
archive-397	201	12	iteration	iteration	NOUN
archive-397	201	13	for	for	ADP
archive-397	201	14	minimization	minimization	NOUN
archive-397	201	15	problems	problem	NOUN
archive-397	201	16	so	so	SCONJ
archive-397	201	17	that	that	SCONJ
archive-397	201	18	to	to	PART
archive-397	201	19	achieve	achieve	VERB
archive-397	201	20	the	the	DET
archive-397	201	21	fitness	fitness	NOUN
archive-397	201	22	evolution	evolution	NOUN
archive-397	201	23	value	value	NOUN
archive-397	201	24	by	by	ADP
archive-397	201	25	equation	equation	NOUN
archive-397	201	26	(	(	PUNCT
archive-397	201	27	17	17	NUM
archive-397	201	28	)	)	PUNCT
archive-397	201	29	,	,	PUNCT
archive-397	201	30	(	(	PUNCT
archive-397	201	31	18	18	NUM
archive-397	201	32	):	):	PUNCT
archive-397	201	33	best(t	best(t	NOUN
archive-397	201	34	)	)	PUNCT
archive-397	201	35	=	=	SYM
archive-397	202	1	min	min	NOUN
archive-397	202	2	f	f	NOUN
archive-397	203	1	it	it	PRON
archive-397	203	2	j	j	PROPN
archive-397	203	3	(	(	PUNCT
archive-397	203	4	t	t	PROPN
archive-397	203	5	)	)	PUNCT
archive-397	203	6	(	(	PUNCT
archive-397	203	7	17	17	NUM
archive-397	203	8	)	)	PUNCT
archive-397	203	9	worst(t	worst(t	PROPN
archive-397	203	10	)	)	PUNCT
archive-397	204	1	=	=	SYM
archive-397	205	1	max	max	PROPN
archive-397	206	1	f	f	PROPN
archive-397	207	1	it	it	PRON
archive-397	207	2	j	j	PROPN
archive-397	207	3	(	(	PUNCT
archive-397	207	4	t	t	PROPN
archive-397	207	5	)	)	PUNCT
archive-397	207	6	(	(	PUNCT
archive-397	207	7	18	18	NUM
archive-397	207	8	)	)	PUNCT
archive-397	207	9	j=1,	j=1,	NOUN
archive-397	207	10	....	....	PUNCT
archive-397	207	11	,n	,n	PUNCT
archive-397	207	12	the	the	DET
archive-397	207	13	fit	fit	ADJ
archive-397	207	14	j(t	j(t	PROPN
archive-397	207	15	)	)	PUNCT
archive-397	207	16	value	value	NOUN
archive-397	207	17	is	be	AUX
archive-397	207	18	the	the	DET
archive-397	207	19	fitness	fitness	NOUN
archive-397	207	20	value	value	NOUN
archive-397	207	21	of	of	ADP
archive-397	207	22	the	the	DET
archive-397	207	23	(	(	PUNCT
archive-397	207	24	jth	jth	PROPN
archive-397	207	25	)	)	PUNCT
archive-397	207	26	agent	agent	NOUN
archive-397	207	27	at	at	ADP
archive-397	207	28	iteration	iteration	PROPN
archive-397	207	29	t	t	PROPN
archive-397	207	30	,	,	PUNCT
archive-397	207	31	the	the	DET
archive-397	207	32	best	good	ADJ
archive-397	207	33	(	(	PUNCT
archive-397	207	34	t	t	NOUN
archive-397	207	35	)	)	PUNCT
archive-397	207	36	value	value	NOUN
archive-397	207	37	is	be	AUX
archive-397	207	38	the	the	DET
archive-397	207	39	best	good	ADJ
archive-397	207	40	fitnessat	fitnessat	VERB
archive-397	207	41	iteration	iteration	PROPN
archive-397	207	42	t	t	PROPN
archive-397	207	43	,	,	PUNCT
archive-397	207	44	while	while	SCONJ
archive-397	207	45	the	the	DET
archive-397	207	46	worst	bad	ADJ
archive-397	207	47	(	(	PUNCT
archive-397	207	48	t	t	NOUN
archive-397	207	49	)	)	PUNCT
archive-397	207	50	value	value	NOUN
archive-397	207	51	is	be	AUX
archive-397	207	52	the	the	DET
archive-397	207	53	worst	bad	ADJ
archive-397	207	54	fitnessat	fitnessat	VERB
archive-397	207	55	iteration	iteration	NOUN
archive-397	207	56	t.	t.	PROPN
archive-397	207	57	pg	pg	PROPN
archive-397	207	58	.	.	PUNCT
archive-397	208	1	491	491	NUM
archive-397	208	2	yassin	yassin	PROPN
archive-397	208	3	/	/	PUNCT
archive-397	208	4	the	the	DET
archive-397	208	5	academic	academic	ADJ
archive-397	208	6	research	research	NOUN
archive-397	208	7	community	community	NOUN
archive-397	208	8	publication	publication	NOUN
archive-397	208	9	6.2.2	6.2.2	NUM
archive-397	208	10	.	.	PUNCT
archive-397	208	11	estimating	estimate	VERB
archive-397	208	12	the	the	DET
archive-397	208	13	gravitational	gravitational	ADJ
archive-397	208	14	constant	constant	ADJ
archive-397	208	15	the	the	DET
archive-397	208	16	gravitational	gravitational	ADJ
archive-397	208	17	constant	constant	ADJ
archive-397	208	18	value	value	NOUN
archive-397	208	19	gc(t	gc(t	NOUN
archive-397	208	20	)	)	PUNCT
archive-397	208	21	at	at	ADP
archive-397	208	22	iteration	iteration	NOUN
archive-397	208	23	t	t	PROPN
archive-397	208	24	is	be	AUX
archive-397	208	25	given	give	VERB
archive-397	208	26	by	by	ADP
archive-397	208	27	equation	equation	NOUN
archive-397	208	28	(	(	PUNCT
archive-397	208	29	19	19	NUM
archive-397	208	30	):	):	PUNCT
archive-397	208	31	gc(t	gc(t	X
archive-397	208	32	)	)	PUNCT
archive-397	208	33	=	=	PRON
archive-397	208	34	go	go	VERB
archive-397	208	35	eα(−t	eα(−t	PROPN
archive-397	208	36	/	/	SYM
archive-397	208	37	t	t	NOUN
archive-397	208	38	)	)	PUNCT
archive-397	208	39	(	(	PUNCT
archive-397	208	40	19	19	NUM
archive-397	208	41	)	)	PUNCT
archive-397	208	42	where	where	SCONJ
archive-397	208	43	:	:	PUNCT
archive-397	208	44	(	(	PUNCT
archive-397	208	45	α	α	X
archive-397	208	46	)	)	PUNCT
archive-397	208	47	value	value	NOUN
archive-397	208	48	is	be	AUX
archive-397	208	49	the	the	DET
archive-397	208	50	descending	descend	VERB
archive-397	208	51	coefficient	coefficient	NOUN
archive-397	208	52	,	,	PUNCT
archive-397	208	53	(	(	PUNCT
archive-397	208	54	go	go	VERB
archive-397	208	55	)	)	PUNCT
archive-397	208	56	value	value	NOUN
archive-397	208	57	is	be	AUX
archive-397	208	58	the	the	DET
archive-397	208	59	initial	initial	ADJ
archive-397	208	60	gravitational	gravitational	ADJ
archive-397	208	61	constant	constant	NOUN
archive-397	208	62	,	,	PUNCT
archive-397	208	63	(	(	PUNCT
archive-397	208	64	t	t	NOUN
archive-397	208	65	)	)	PUNCT
archive-397	208	66	value	value	NOUN
archive-397	208	67	is	be	AUX
archive-397	208	68	the	the	DET
archive-397	208	69	current	current	ADJ
archive-397	208	70	iteration	iteration	NOUN
archive-397	208	71	,	,	PUNCT
archive-397	208	72	while	while	SCONJ
archive-397	208	73	(	(	PUNCT
archive-397	208	74	t	t	NOUN
archive-397	208	75	)	)	PUNCT
archive-397	208	76	value	value	NOUN
archive-397	208	77	is	be	AUX
archive-397	208	78	the	the	DET
archive-397	208	79	maximum	maximum	ADJ
archive-397	208	80	number	number	NOUN
archive-397	208	81	of	of	ADP
archive-397	208	82	iterations	iteration	NOUN
archive-397	208	83	.	.	PUNCT
archive-397	209	1	6.2.3	6.2.3	X
archive-397	209	2	.	.	PUNCT
archive-397	210	1	the	the	DET
archive-397	210	2	masses	masse	NOUN
archive-397	210	3	of	of	ADP
archive-397	210	4	agents	agent	NOUN
archive-397	210	5	are	be	AUX
archive-397	210	6	calculated	calculate	VERB
archive-397	210	7	as	as	SCONJ
archive-397	210	8	follows	follow	VERB
archive-397	210	9	:	:	PUNCT
archive-397	210	10	the	the	DET
archive-397	210	11	gravitational	gravitational	ADJ
archive-397	210	12	and	and	CCONJ
archive-397	210	13	inertia	inertia	NOUN
archive-397	210	14	masses	masse	NOUN
archive-397	210	15	values	value	NOUN
archive-397	210	16	for	for	ADP
archive-397	210	17	each	each	DET
archive-397	210	18	agent	agent	NOUN
archive-397	210	19	are	be	AUX
archive-397	210	20	at	at	ADP
archive-397	210	21	iteration	iteration	NOUN
archive-397	210	22	(	(	PUNCT
archive-397	210	23	t	t	NOUN
archive-397	210	24	)	)	PUNCT
archive-397	210	25	are	be	AUX
archive-397	210	26	obtained	obtain	VERB
archive-397	210	27	using	use	VERB
archive-397	210	28	equation	equation	NOUN
archive-397	210	29	(	(	PUNCT
archive-397	210	30	20	20	NUM
archive-397	210	31	)	)	PUNCT
archive-397	210	32	,	,	PUNCT
archive-397	210	33	(	(	PUNCT
archive-397	210	34	21	21	NUM
archive-397	210	35	)	)	PUNCT
archive-397	210	36	and	and	CCONJ
archive-397	210	37	(	(	PUNCT
archive-397	210	38	22	22	NUM
archive-397	210	39	):	):	PUNCT
archive-397	210	40	mai	mai	PROPN
archive-397	210	41	=	=	SYM
archive-397	210	42	mpi	mpi	PROPN
archive-397	210	43	=	=	SYM
archive-397	210	44	mii	mii	PROPN
archive-397	210	45	=	=	NOUN
archive-397	211	1	m	m	VERB
archive-397	211	2	i	i	VERB
archive-397	211	3	f	f	NOUN
archive-397	212	1	or	or	CCONJ
archive-397	212	2	i	i	PRON
archive-397	212	3	=	=	NOUN
archive-397	212	4	1,2	1,2	NUM
archive-397	212	5	,	,	PUNCT
archive-397	212	6	..	..	PUNCT
archive-397	212	7	n	n	CCONJ
archive-397	212	8	(	(	PUNCT
archive-397	212	9	20	20	NUM
archive-397	212	10	)	)	PUNCT
archive-397	212	11	mi(t	mi(t	NOUN
archive-397	212	12	)	)	PUNCT
archive-397	213	1	=	=	SYM
archive-397	213	2	f	f	PROPN
archive-397	213	3	iti(t)−worst(t	iti(t)−worst(t	PROPN
archive-397	213	4	)	)	PUNCT
archive-397	213	5	best(t)−worst(t	best(t)−worst(t	PROPN
archive-397	213	6	)	)	PUNCT
archive-397	213	7	(	(	PUNCT
archive-397	213	8	21	21	NUM
archive-397	213	9	)	)	PUNCT
archive-397	213	10	mi(t	mi(t	NOUN
archive-397	213	11	)	)	PUNCT
archive-397	213	12	=	=	SYM
archive-397	213	13	mi(t	mi(t	NOUN
archive-397	213	14	)	)	PUNCT
archive-397	213	15	∑	∑	PUNCT
archive-397	213	16	n	n	PRON
archive-397	213	17	j=1	j=1	PROPN
archive-397	213	18	m	m	PROPN
archive-397	213	19	j(t	j(t	PROPN
archive-397	213	20	)	)	PUNCT
archive-397	213	21	(	(	PUNCT
archive-397	213	22	22	22	NUM
archive-397	213	23	)	)	PUNCT
archive-397	213	24	the	the	DET
archive-397	213	25	active	active	ADJ
archive-397	213	26	and	and	CCONJ
archive-397	213	27	passive	passive	ADJ
archive-397	213	28	gravitational	gravitational	ADJ
archive-397	213	29	masses	masse	NOUN
archive-397	213	30	values	value	NOUN
archive-397	213	31	are	be	AUX
archive-397	213	32	mai	mai	NOUN
archive-397	213	33	and	and	CCONJ
archive-397	213	34	mpi	mpi	ADJ
archive-397	213	35	,	,	PUNCT
archive-397	213	36	and	and	CCONJ
archive-397	213	37	the	the	DET
archive-397	213	38	inertia	inertia	NOUN
archive-397	213	39	mass	mass	NOUN
archive-397	213	40	value	value	NOUN
archive-397	213	41	of	of	ADP
archive-397	213	42	the	the	DET
archive-397	213	43	ith	ith	PROPN
archive-397	213	44	agent	agent	NOUN
archive-397	213	45	(	(	PUNCT
archive-397	213	46	miiis	miiis	ADJ
archive-397	213	47	)	)	PUNCT
archive-397	213	48	,	,	PUNCT
archive-397	213	49	and	and	CCONJ
archive-397	213	50	the	the	DET
archive-397	213	51	mass	mass	ADJ
archive-397	213	52	value	value	NOUN
archive-397	213	53	of	of	ADP
archive-397	213	54	object	object	NOUN
archive-397	213	55	i	i	PRON
archive-397	213	56	is	be	AUX
archive-397	213	57	mi	mi	PROPN
archive-397	213	58	.	.	PROPN
archive-397	213	59	acceleration	acceleration	NOUN
archive-397	213	60	of	of	ADP
archive-397	213	61	agents	agent	NOUN
archive-397	213	62	is	be	AUX
archive-397	213	63	obtained	obtain	VERB
archive-397	213	64	by	by	ADP
archive-397	213	65	determining	determine	VERB
archive-397	213	66	the	the	DET
archive-397	213	67	values	value	NOUN
archive-397	213	68	of	of	ADP
archive-397	213	69	fd	fd	PROPN
archive-397	213	70	i	i	PROPN
archive-397	213	71	(	(	PUNCT
archive-397	213	72	t	t	PROPN
archive-397	213	73	)	)	PUNCT
archive-397	213	74	(	(	PUNCT
archive-397	213	75	the	the	DET
archive-397	213	76	total	total	ADJ
archive-397	213	77	force	force	NOUN
archive-397	213	78	acting	act	VERB
archive-397	213	79	)	)	PUNCT
archive-397	213	80	on	on	ADP
archive-397	213	81	ith	ith	PROPN
archive-397	213	82	agent	agent	NOUN
archive-397	213	83	by	by	ADP
archive-397	213	84	equation	equation	NOUN
archive-397	213	85	(	(	PUNCT
archive-397	213	86	23	23	NUM
archive-397	213	87	)	)	PUNCT
archive-397	213	88	,	,	PUNCT
archive-397	213	89	(	(	PUNCT
archive-397	213	90	24	24	NUM
archive-397	213	91	):	):	PUNCT
archive-397	213	92	fd	fd	VERB
archive-397	213	93	i	i	PRON
archive-397	213	94	(	(	PUNCT
archive-397	213	95	t	t	PROPN
archive-397	213	96	)	)	PUNCT
archive-397	214	1	=	=	SYM
archive-397	214	2	rand	rand	NOUN
archive-397	215	1	j	j	NOUN
archive-397	215	2	fd	fd	INTJ
archive-397	216	1	i	i	PRON
archive-397	216	2	j	j	PROPN
archive-397	216	3	(	(	PUNCT
archive-397	216	4	t	t	PROPN
archive-397	216	5	)	)	PUNCT
archive-397	216	6	(	(	PUNCT
archive-397	216	7	23	23	NUM
archive-397	216	8	)	)	PUNCT
archive-397	216	9	fd	fd	VERB
archive-397	217	1	i	i	PRON
archive-397	217	2	j	j	PROPN
archive-397	218	1	=	=	PUNCT
archive-397	218	2	gc(t).(mpi(t)×ma	gc(t).(mpi(t)×ma	PROPN
archive-397	218	3	j(t)/ri	j(t)/ri	NOUN
archive-397	218	4	j(t)+	j(t)+	PROPN
archive-397	218	5	ε).(xd	ε).(xd	PROPN
archive-397	218	6	j(t)−	j(t)−	PROPN
archive-397	219	1	xd	xd	INTJ
archive-397	219	2	i	i	PROPN
archive-397	219	3	(	(	PUNCT
archive-397	219	4	t	t	PROPN
archive-397	219	5	)	)	PUNCT
archive-397	219	6	)	)	PUNCT
archive-397	219	7	(	(	PUNCT
archive-397	219	8	24	24	NUM
archive-397	219	9	)	)	PUNCT
archive-397	219	10	where	where	SCONJ
archive-397	219	11	ε	ε	PROPN
archive-397	219	12	is	be	AUX
archive-397	219	13	a	a	DET
archive-397	219	14	small	small	ADJ
archive-397	219	15	constant	constant	ADJ
archive-397	219	16	and	and	CCONJ
archive-397	219	17	rij	rij	ADJ
archive-397	219	18	is	be	AUX
archive-397	219	19	the	the	DET
archive-397	219	20	euclidian	euclidian	ADJ
archive-397	219	21	distance	distance	NOUN
archive-397	219	22	between	between	ADP
archive-397	219	23	two	two	NUM
archive-397	219	24	agents	agent	NOUN
archive-397	219	25	i	i	PRON
archive-397	219	26	and	and	CCONJ
archive-397	219	27	j	j	PROPN
archive-397	219	28	and	and	CCONJ
archive-397	219	29	it	it	PRON
archive-397	219	30	is	be	AUX
archive-397	219	31	calculated	calculate	VERB
archive-397	219	32	using	use	VERB
archive-397	219	33	equation	equation	NOUN
archive-397	219	34	(	(	PUNCT
archive-397	219	35	25	25	NUM
archive-397	219	36	):	):	PUNCT
archive-397	219	37	ri	ri	PROPN
archive-397	219	38	j(t	j(t	PROPN
archive-397	219	39	)	)	PUNCT
archive-397	220	1	=	=	SYM
archive-397	220	2	‖xi	‖xi	NUM
archive-397	220	3	(	(	PUNCT
archive-397	220	4	t),x	t),x	PROPN
archive-397	220	5	j	j	PROPN
archive-397	220	6	(	(	PUNCT
archive-397	220	7	t)‖2	t)‖2	ADJ
archive-397	220	8	(	(	PUNCT
archive-397	220	9	25	25	NUM
archive-397	220	10	)	)	PUNCT
archive-397	220	11	acceleration	acceleration	NOUN
archive-397	220	12	of	of	ADP
archive-397	220	13	the	the	DET
archive-397	220	14	ithagents	ithagent	NOUN
archive-397	220	15	ai	ai	VERB
archive-397	220	16	at	at	ADP
archive-397	220	17	iteration	iteration	NOUN
archive-397	220	18	t	t	PROPN
archive-397	220	19	is	be	AUX
archive-397	220	20	obtained	obtain	VERB
archive-397	220	21	from	from	ADP
archive-397	220	22	equation	equation	NOUN
archive-397	220	23	(	(	PUNCT
archive-397	220	24	26	26	NUM
archive-397	220	25	):	):	PUNCT
archive-397	220	26	ad	ad	NOUN
archive-397	220	27	i	i	PROPN
archive-397	220	28	(	(	PUNCT
archive-397	220	29	t	t	PROPN
archive-397	220	30	)	)	PUNCT
archive-397	220	31	=	=	VERB
archive-397	221	1	fd	fd	INTJ
archive-397	221	2	i	i	INTJ
archive-397	221	3	(	(	PUNCT
archive-397	221	4	t)/mii(t	t)/mii(t	ADP
archive-397	221	5	)	)	PUNCT
archive-397	221	6	(	(	PUNCT
archive-397	221	7	26	26	NUM
archive-397	221	8	)	)	PUNCT
archive-397	221	9	6.2.4	6.2.4	NOUN
archive-397	221	10	.	.	PUNCT
archive-397	222	1	updating	update	VERB
archive-397	222	2	the	the	DET
archive-397	222	3	speed	speed	NOUN
archive-397	222	4	and	and	CCONJ
archive-397	222	5	positions	position	NOUN
archive-397	222	6	of	of	ADP
archive-397	222	7	agents	agent	NOUN
archive-397	222	8	:	:	PUNCT
archive-397	222	9	determining	determine	VERB
archive-397	222	10	the	the	DET
archive-397	222	11	speed	speed	NOUN
archive-397	222	12	and	and	CCONJ
archive-397	222	13	the	the	DET
archive-397	222	14	position	position	NOUN
archive-397	222	15	of	of	ADP
archive-397	222	16	the	the	DET
archive-397	222	17	agents	agent	NOUN
archive-397	222	18	at	at	ADP
archive-397	222	19	the	the	DET
archive-397	222	20	next	next	ADJ
archive-397	222	21	iteration	iteration	NOUN
archive-397	222	22	(	(	PUNCT
archive-397	222	23	t+1	t+1	NOUN
archive-397	222	24	)	)	PUNCT
archive-397	222	25	is	be	AUX
archive-397	222	26	achieved	achieve	VERB
archive-397	222	27	by	by	ADP
archive-397	222	28	equation	equation	NOUN
archive-397	222	29	(	(	PUNCT
archive-397	222	30	27	27	NUM
archive-397	222	31	)	)	PUNCT
archive-397	222	32	,	,	PUNCT
archive-397	222	33	(	(	PUNCT
archive-397	222	34	28	28	NUM
archive-397	222	35	)	)	PUNCT
archive-397	222	36	as	as	SCONJ
archive-397	222	37	follows	follow	VERB
archive-397	222	38	:	:	PUNCT
archive-397	222	39	vd	vd	NOUN
archive-397	223	1	i	i	PRON
archive-397	223	2	(	(	PUNCT
archive-397	223	3	t	t	PROPN
archive-397	223	4	+1	+1	PROPN
archive-397	223	5	)	)	PUNCT
archive-397	223	6	=	=	SYM
archive-397	223	7	randi×	randi×	NOUN
archive-397	223	8	vd	vd	NOUN
archive-397	223	9	i	i	PRON
archive-397	223	10	(	(	PUNCT
archive-397	223	11	t)+ad	t)+ad	PUNCT
archive-397	223	12	i	i	PRON
archive-397	223	13	(	(	PUNCT
archive-397	223	14	t	t	PROPN
archive-397	223	15	)	)	PUNCT
archive-397	223	16	(	(	PUNCT
archive-397	223	17	27	27	NUM
archive-397	223	18	)	)	PUNCT
archive-397	224	1	xd	xd	INTJ
archive-397	224	2	i	i	PRON
archive-397	224	3	(	(	PUNCT
archive-397	224	4	t	t	PROPN
archive-397	224	5	+1	+1	PROPN
archive-397	224	6	)	)	PUNCT
archive-397	225	1	=	=	PUNCT
archive-397	226	1	xd	xd	INTJ
archive-397	226	2	i	i	PRON
archive-397	226	3	(	(	PUNCT
archive-397	226	4	t)+	t)+	NOUN
archive-397	226	5	vd	vd	NOUN
archive-397	226	6	i	i	PRON
archive-397	226	7	(	(	PUNCT
archive-397	226	8	t	t	PROPN
archive-397	226	9	+1	+1	PROPN
archive-397	226	10	)	)	PUNCT
archive-397	226	11	(	(	PUNCT
archive-397	226	12	28	28	NUM
archive-397	226	13	)	)	PUNCT
archive-397	226	14	social	social	ADJ
archive-397	226	15	thinking	thinking	NOUN
archive-397	226	16	capability	capability	NOUN
archive-397	226	17	(	(	PUNCT
archive-397	226	18	gbest	gbest	NOUN
archive-397	226	19	)	)	PUNCT
archive-397	226	20	of	of	ADP
archive-397	226	21	pso	pso	NOUN
archive-397	226	22	algoirhtm	algoirhtm	PROPN
archive-397	226	23	and	and	CCONJ
archive-397	226	24	local	local	ADJ
archive-397	226	25	search	search	NOUN
archive-397	226	26	capability	capability	NOUN
archive-397	226	27	of	of	ADP
archive-397	226	28	gsa	gsa	PROPN
archive-397	226	29	were	be	AUX
archive-397	226	30	grouped	group	VERB
archive-397	226	31	together	together	ADV
archive-397	226	32	in	in	ADP
archive-397	226	33	psogsa	psogsa	NOUN
archive-397	226	34	.	.	PUNCT
archive-397	227	1	all	all	DET
archive-397	227	2	agents	agent	NOUN
archive-397	227	3	are	be	AUX
archive-397	227	4	initialized	initialize	VERB
archive-397	227	5	randomly	randomly	ADV
archive-397	227	6	,	,	PUNCT
archive-397	227	7	then	then	ADV
archive-397	227	8	the	the	DET
archive-397	227	9	values	value	NOUN
archive-397	227	10	of	of	ADP
archive-397	227	11	gravitational	gravitational	ADJ
archive-397	227	12	force	force	NOUN
archive-397	227	13	,	,	PUNCT
archive-397	227	14	gravitational	gravitational	ADJ
archive-397	227	15	constant	constant	ADJ
archive-397	227	16	,	,	PUNCT
archive-397	227	17	and	and	CCONJ
archive-397	227	18	resultant	resultant	NOUN
archive-397	227	19	forces	force	NOUN
archive-397	227	20	are	be	AUX
archive-397	227	21	calculated	calculate	VERB
archive-397	227	22	.	.	PUNCT
archive-397	228	1	the	the	DET
archive-397	228	2	accelerations	acceleration	NOUN
archive-397	228	3	of	of	ADP
archive-397	228	4	elements	element	NOUN
archive-397	228	5	are	be	AUX
archive-397	228	6	defined	define	VERB
archive-397	228	7	in	in	ADP
archive-397	228	8	equation	equation	NOUN
archive-397	228	9	(	(	PUNCT
archive-397	228	10	20).at	20).at	NOUN
archive-397	228	11	each	each	DET
archive-397	228	12	iteration	iteration	NOUN
archive-397	228	13	,	,	PUNCT
archive-397	228	14	the	the	DET
archive-397	228	15	best	good	ADJ
archive-397	228	16	solution	solution	NOUN
archive-397	228	17	is	be	AUX
archive-397	228	18	updated	update	VERB
archive-397	228	19	and	and	CCONJ
archive-397	228	20	the	the	DET
archive-397	228	21	velocities	velocity	NOUN
archive-397	228	22	values	value	NOUN
archive-397	228	23	of	of	ADP
archive-397	228	24	all	all	DET
archive-397	228	25	agents	agent	NOUN
archive-397	228	26	are	be	AUX
archive-397	228	27	calculated	calculate	VERB
archive-397	228	28	using	use	VERB
archive-397	228	29	equation	equation	NOUN
archive-397	228	30	(	(	PUNCT
archive-397	228	31	27	27	NUM
archive-397	228	32	)	)	PUNCT
archive-397	228	33	.	.	PUNCT
archive-397	229	1	at	at	ADP
archive-397	229	2	last	last	ADV
archive-397	229	3	,	,	PUNCT
archive-397	229	4	the	the	DET
archive-397	229	5	agents	agent	NOUN
archive-397	229	6	positions	position	NOUN
archive-397	229	7	are	be	AUX
archive-397	229	8	updated	update	VERB
archive-397	229	9	using	use	VERB
archive-397	229	10	equation	equation	NOUN
archive-397	229	11	(	(	PUNCT
archive-397	229	12	28	28	NUM
archive-397	229	13	)	)	PUNCT
archive-397	229	14	.	.	PUNCT
archive-397	230	1	updating	update	VERB
archive-397	230	2	the	the	DET
archive-397	230	3	value	value	NOUN
archive-397	230	4	of	of	ADP
archive-397	230	5	velocities	velocity	NOUN
archive-397	230	6	and	and	CCONJ
archive-397	230	7	the	the	DET
archive-397	230	8	positions	position	NOUN
archive-397	230	9	will	will	AUX
archive-397	230	10	stop	stop	VERB
archive-397	230	11	when	when	SCONJ
archive-397	230	12	conditions	condition	NOUN
archive-397	230	13	are	be	AUX
archive-397	230	14	met	meet	VERB
archive-397	230	15	.	.	PUNCT
archive-397	231	1	pg	pg	INTJ
archive-397	231	2	.	.	PUNCT
archive-397	232	1	492	492	NUM
archive-397	232	2	yassin	yassin	PROPN
archive-397	232	3	/	/	PUNCT
archive-397	232	4	the	the	DET
archive-397	232	5	academic	academic	ADJ
archive-397	232	6	research	research	NOUN
archive-397	232	7	community	community	NOUN
archive-397	232	8	publication	publication	NOUN
archive-397	232	9	7	7	NUM
archive-397	232	10	.	.	PUNCT
archive-397	232	11	simulated	simulate	VERB
archive-397	232	12	results	result	NOUN
archive-397	232	13	and	and	CCONJ
archive-397	232	14	model	model	NOUN
archive-397	232	15	verification	verification	NOUN
archive-397	232	16	exermienatl	exermienatl	NOUN
archive-397	232	17	reuslts	reuslt	NOUN
archive-397	232	18	was	be	AUX
archive-397	232	19	run	run	VERB
archive-397	232	20	on	on	ADP
archive-397	232	21	matlab	matlab	PROPN
archive-397	232	22	2015a	2015a	NOUN
archive-397	232	23	environment	environment	NOUN
archive-397	232	24	using	use	VERB
archive-397	232	25	core	core	NOUN
archive-397	232	26	i5	i5	PROPN
archive-397	232	27	processor	processor	NOUN
archive-397	232	28	,	,	PUNCT
archive-397	232	29	and	and	CCONJ
archive-397	232	30	4	4	NUM
archive-397	232	31	gb	gb	NOUN
archive-397	232	32	of	of	ADP
archive-397	232	33	ram.the	ram.the	DET
archive-397	232	34	last	last	ADJ
archive-397	232	35	stage	stage	NOUN
archive-397	232	36	in	in	ADP
archive-397	232	37	the	the	DET
archive-397	232	38	intrusion	intrusion	NOUN
archive-397	232	39	detection	detection	NOUN
archive-397	232	40	system	system	NOUN
archive-397	232	41	is	be	AUX
archive-397	232	42	classification	classification	NOUN
archive-397	232	43	.	.	PUNCT
archive-397	233	1	in	in	ADP
archive-397	233	2	this	this	DET
archive-397	233	3	work	work	NOUN
archive-397	233	4	the	the	DET
archive-397	233	5	classification	classification	NOUN
archive-397	233	6	stage	stage	NOUN
archive-397	233	7	is	be	AUX
archive-397	233	8	implemented	implement	VERB
archive-397	233	9	using	use	VERB
archive-397	233	10	ffnn	ffnn	NOUN
archive-397	233	11	-	-	PUNCT
archive-397	233	12	gsa	gsa	PROPN
archive-397	233	13	and	and	CCONJ
archive-397	233	14	ffnn	ffnn	NOUN
archive-397	233	15	-	-	PUNCT
archive-397	233	16	pso	pso	NOUN
archive-397	233	17	.	.	PUNCT
archive-397	233	18	table	table	NOUN
archive-397	233	19	5	5	NUM
archive-397	233	20	show	show	VERB
archive-397	233	21	the	the	DET
archive-397	233	22	training	training	NOUN
archive-397	233	23	results	result	NOUN
archive-397	233	24	of	of	ADP
archive-397	233	25	the	the	DET
archive-397	233	26	feed	feed	NOUN
archive-397	233	27	-	-	PUNCT
archive-397	233	28	forward	forward	NOUN
archive-397	233	29	neural	neural	ADJ
archive-397	233	30	network	network	NOUN
archive-397	233	31	with	with	ADP
archive-397	233	32	the	the	DET
archive-397	233	33	opmtiziation	opmtiziation	NOUN
archive-397	233	34	techqniue	techqniue	VERB
archive-397	233	35	gsa	gsa	PROPN
archive-397	233	36	and	and	CCONJ
archive-397	233	37	pso	pso	NOUN
archive-397	233	38	for	for	ADP
archive-397	233	39	the	the	DET
archive-397	233	40	intrusion	intrusion	NOUN
archive-397	233	41	detection	detection	NOUN
archive-397	233	42	process	process	NOUN
archive-397	233	43	based	base	VERB
archive-397	233	44	on	on	ADP
archive-397	233	45	16626	16626	NUM
archive-397	233	46	record	record	NOUN
archive-397	233	47	of	of	ADP
archive-397	233	48	training	train	VERB
archive-397	233	49	nsl	nsl	PROPN
archive-397	233	50	-	-	PUNCT
archive-397	233	51	kdd	kdd	PROPN
archive-397	233	52	dataset	dataset	NOUN
archive-397	233	53	samples	sample	NOUN
archive-397	233	54	.	.	PUNCT
archive-397	234	1	the	the	DET
archive-397	234	2	reuslts	reuslt	NOUN
archive-397	234	3	are	be	AUX
archive-397	234	4	measured	measure	VERB
archive-397	234	5	by	by	ADP
archive-397	234	6	the	the	DET
archive-397	234	7	mean	mean	ADJ
archive-397	234	8	square	square	ADJ
archive-397	234	9	error	error	NOUN
archive-397	234	10	(	(	PUNCT
archive-397	234	11	mse	mse	NOUN
archive-397	234	12	)	)	PUNCT
archive-397	234	13	and	and	CCONJ
archive-397	234	14	the	the	DET
archive-397	234	15	classification	classification	NOUN
archive-397	234	16	rate	rate	NOUN
archive-397	234	17	.	.	PUNCT
archive-397	235	1	with	with	ADP
archive-397	235	2	many	many	ADJ
archive-397	235	3	number	number	NOUN
archive-397	235	4	of	of	ADP
archive-397	235	5	iterations	iteration	NOUN
archive-397	235	6	the	the	DET
archive-397	235	7	neural	neural	ADJ
archive-397	235	8	network	network	NOUN
archive-397	235	9	structure	structure	NOUN
archive-397	235	10	of	of	ADP
archive-397	235	11	ffnn	ffnn	NOUN
archive-397	235	12	for	for	ADP
archive-397	235	13	both	both	CCONJ
archive-397	235	14	pso	pso	NOUN
archive-397	235	15	and	and	CCONJ
archive-397	235	16	gsa	gsa	PROPN
archive-397	235	17	are	be	AUX
archive-397	235	18	as	as	SCONJ
archive-397	235	19	follows	follow	VERB
archive-397	235	20	:	:	PUNCT
archive-397	235	21	2	2	NUM
archive-397	235	22	-	-	PUNCT
archive-397	235	23	layers	layer	NOUN
archive-397	235	24	input	input	VERB
archive-397	235	25	neural	neural	ADJ
archive-397	235	26	network	network	NOUN
archive-397	235	27	with	with	ADP
archive-397	235	28	71	71	NUM
archive-397	235	29	neurons	neuron	NOUN
archive-397	235	30	,	,	PUNCT
archive-397	235	31	hidden	hide	VERB
archive-397	235	32	layer	layer	NOUN
archive-397	235	33	with	with	ADP
archive-397	235	34	8	8	NUM
archive-397	235	35	neurons	neuron	NOUN
archive-397	235	36	,	,	PUNCT
archive-397	235	37	and	and	CCONJ
archive-397	235	38	output	output	NOUN
archive-397	235	39	layer	layer	NOUN
archive-397	235	40	with	with	ADP
archive-397	235	41	10	10	NUM
archive-397	235	42	neurons	neuron	NOUN
archive-397	235	43	.	.	PUNCT
archive-397	236	1	at	at	ADP
archive-397	236	2	the	the	DET
archive-397	236	3	start	start	NOUN
archive-397	236	4	of	of	ADP
archive-397	236	5	trainig	trainig	NOUN
archive-397	236	6	neural	neural	ADJ
archive-397	236	7	network	network	NOUN
archive-397	236	8	the	the	DET
archive-397	236	9	weights	weight	NOUN
archive-397	236	10	are	be	AUX
archive-397	236	11	initialized	initialize	VERB
archive-397	236	12	randomly	randomly	ADV
archive-397	236	13	,	,	PUNCT
archive-397	236	14	which	which	PRON
archive-397	236	15	may	may	AUX
archive-397	236	16	casue	casue	VERB
archive-397	236	17	corrupt	corrupt	ADJ
archive-397	236	18	recognition	recognition	NOUN
archive-397	236	19	that	that	PRON
archive-397	236	20	improved	improve	VERB
archive-397	236	21	after	after	ADP
archive-397	236	22	number	number	NOUN
archive-397	236	23	of	of	ADP
archive-397	236	24	iteration	iteration	NOUN
archive-397	236	25	.	.	PUNCT
archive-397	237	1	by	by	ADP
archive-397	237	2	increasing	increase	VERB
archive-397	237	3	the	the	DET
archive-397	237	4	number	number	NOUN
archive-397	237	5	of	of	ADP
archive-397	237	6	iterations	iteration	NOUN
archive-397	237	7	,	,	PUNCT
archive-397	237	8	the	the	DET
archive-397	237	9	mse	mse	NOUN
archive-397	237	10	decreases	decrease	VERB
archive-397	237	11	,	,	PUNCT
archive-397	237	12	the	the	DET
archive-397	237	13	classification	classification	NOUN
archive-397	237	14	rate	rate	NOUN
archive-397	237	15	increases	increase	NOUN
archive-397	237	16	and	and	CCONJ
archive-397	237	17	the	the	DET
archive-397	237	18	time	time	NOUN
archive-397	237	19	consumed	consume	VERB
archive-397	237	20	increases	increase	NOUN
archive-397	237	21	.	.	PUNCT
archive-397	238	1	increasing	increase	VERB
archive-397	238	2	the	the	DET
archive-397	238	3	swarm	swarm	NOUN
archive-397	238	4	size	size	NOUN
archive-397	238	5	and	and	CCONJ
archive-397	238	6	the	the	DET
archive-397	238	7	number	number	NOUN
archive-397	238	8	of	of	ADP
archive-397	238	9	masses	masse	NOUN
archive-397	238	10	enhances	enhance	VERB
archive-397	238	11	the	the	DET
archive-397	238	12	classification	classification	NOUN
archive-397	238	13	rate	rate	NOUN
archive-397	238	14	.	.	PUNCT
archive-397	239	1	table	table	NOUN
archive-397	239	2	5	5	NUM
archive-397	239	3	illustrates	illustrate	VERB
archive-397	239	4	the	the	DET
archive-397	239	5	test	test	NOUN
archive-397	239	6	accuracy	accuracy	NOUN
archive-397	239	7	of	of	ADP
archive-397	239	8	the	the	DET
archive-397	239	9	classification	classification	NOUN
archive-397	239	10	model	model	NOUN
archive-397	239	11	with	with	ADP
archive-397	239	12	and	and	CCONJ
archive-397	239	13	without	without	ADP
archive-397	239	14	the	the	DET
archive-397	239	15	ga	ga	PROPN
archive-397	239	16	feature	feature	NOUN
archive-397	239	17	selection	selection	NOUN
archive-397	239	18	technique	technique	NOUN
archive-397	239	19	.	.	PUNCT
archive-397	240	1	the	the	DET
archive-397	240	2	combination	combination	NOUN
archive-397	240	3	of	of	ADP
archive-397	240	4	gsa	gsa	PROPN
archive-397	240	5	-	-	PUNCT
archive-397	240	6	pso	pso	NOUN
archive-397	240	7	feed	feed	NOUN
archive-397	240	8	forward	forward	ADV
archive-397	240	9	algorithm	algorithm	NOUN
archive-397	240	10	has	have	VERB
archive-397	240	11	the	the	DET
archive-397	240	12	best	good	ADJ
archive-397	240	13	recognition	recognition	NOUN
archive-397	240	14	rate	rate	NOUN
archive-397	240	15	against	against	ADP
archive-397	240	16	other	other	ADJ
archive-397	240	17	algorithms	algorithm	NOUN
archive-397	240	18	with	with	ADP
archive-397	240	19	ga	ga	PROPN
archive-397	240	20	feature	feature	NOUN
archive-397	240	21	selection	selection	NOUN
archive-397	240	22	,	,	PUNCT
archive-397	240	23	while	while	SCONJ
archive-397	240	24	fnn	fnn	PROPN
archive-397	240	25	pso	pso	NOUN
archive-397	240	26	algorithm	algorithm	NOUN
archive-397	240	27	has	have	VERB
archive-397	240	28	the	the	DET
archive-397	240	29	best	good	ADJ
archive-397	240	30	result	result	NOUN
archive-397	240	31	without	without	ADP
archive-397	240	32	the	the	DET
archive-397	240	33	ga	ga	PROPN
archive-397	240	34	feature	feature	NOUN
archive-397	240	35	selection	selection	NOUN
archive-397	240	36	.	.	PUNCT
archive-397	241	1	it	it	PRON
archive-397	241	2	should	should	AUX
archive-397	241	3	be	be	AUX
archive-397	241	4	noted	note	VERB
archive-397	241	5	that	that	SCONJ
archive-397	241	6	,	,	PUNCT
archive-397	241	7	dealing	deal	VERB
archive-397	241	8	with	with	ADP
archive-397	241	9	15	15	NUM
archive-397	241	10	features	feature	NOUN
archive-397	241	11	is	be	AUX
archive-397	241	12	better	well	ADJ
archive-397	241	13	than	than	ADP
archive-397	241	14	dealing	deal	VERB
archive-397	241	15	with	with	ADP
archive-397	241	16	41	41	NUM
archive-397	241	17	features	feature	NOUN
archive-397	241	18	in	in	ADP
archive-397	241	19	classification	classification	NOUN
archive-397	241	20	,	,	PUNCT
archive-397	241	21	mse	mse	NOUN
archive-397	241	22	error	error	NOUN
archive-397	241	23	,	,	PUNCT
archive-397	241	24	and	and	CCONJ
archive-397	241	25	processing	processing	NOUN
archive-397	241	26	time	time	NOUN
archive-397	241	27	.	.	PUNCT
archive-397	242	1	table	table	NOUN
archive-397	242	2	5	5	NUM
archive-397	242	3	.	.	PUNCT
archive-397	242	4	comparison	comparison	NOUN
archive-397	242	5	of	of	ADP
archive-397	242	6	recognition	recognition	NOUN
archive-397	242	7	rate	rate	NOUN
archive-397	242	8	&	&	CCONJ
archive-397	242	9	mse	mse	PROPN
archive-397	242	10	values	value	NOUN
archive-397	242	11	of	of	ADP
archive-397	242	12	various	various	ADJ
archive-397	242	13	classification	classification	NOUN
archive-397	242	14	algorithms	algorithms	NOUN
archive-397	242	15	classification	classification	NOUN
archive-397	242	16	algorithm	algorithm	NOUN
archive-397	242	17	(	(	PUNCT
archive-397	242	18	2000iterations	2000iteration	NOUN
archive-397	242	19	)	)	PUNCT
archive-397	242	20	test	test	NOUN
archive-397	242	21	accuracy	accuracy	NOUN
archive-397	242	22	(	(	PUNCT
archive-397	242	23	%	%	INTJ
archive-397	242	24	)	)	PUNCT
archive-397	242	25	with	with	ADP
archive-397	242	26	41	41	NUM
archive-397	242	27	features	feature	NOUN
archive-397	242	28	test	test	NOUN
archive-397	242	29	accuracy	accuracy	NOUN
archive-397	242	30	(	(	PUNCT
archive-397	242	31	%	%	INTJ
archive-397	242	32	)	)	PUNCT
archive-397	242	33	with	with	ADP
archive-397	242	34	15	15	NUM
archive-397	242	35	features	feature	NOUN
archive-397	242	36	recognition	recognition	NOUN
archive-397	242	37	rate	rate	NOUN
archive-397	242	38	(	(	PUNCT
archive-397	242	39	%	%	INTJ
archive-397	242	40	)	)	PUNCT
archive-397	242	41	mse	mse	NOUN
archive-397	242	42	time(seconds	time(second	NOUN
archive-397	242	43	)	)	PUNCT
archive-397	242	44	recognition	recognition	NOUN
archive-397	242	45	rate	rate	NOUN
archive-397	242	46	(	(	PUNCT
archive-397	242	47	%	%	INTJ
archive-397	242	48	)	)	PUNCT
archive-397	242	49	mse	mse	NOUN
archive-397	242	50	time(seconds	time(second	NOUN
archive-397	242	51	)	)	PUNCT
archive-397	242	52	fnn	fnn	PROPN
archive-397	242	53	pso	pso	NOUN
archive-397	242	54	94.0667	94.0667	NUM
archive-397	243	1	0.0060613	0.0060613	NUM
archive-397	243	2	2237	2237	NUM
archive-397	243	3	96.9333	96.9333	NUM
archive-397	243	4	0.053256	0.053256	NUM
archive-397	243	5	895	895	NUM
archive-397	243	6	fnn	fnn	NOUN
archive-397	243	7	gsa	gsa	PROPN
archive-397	243	8	81.675	81.675	NUM
archive-397	243	9	0.093597	0.093597	NUM
archive-397	243	10	2500	2500	NUM
archive-397	243	11	97.2	97.2	NUM
archive-397	243	12	0.042981	0.042981	NUM
archive-397	243	13	1000	1000	NUM
archive-397	243	14	fnn	fnn	NOUN
archive-397	243	15	gsapso	gsapso	NOUN
archive-397	243	16	90	90	NUM
archive-397	243	17	.5	.5	NUM
archive-397	243	18	0.13776	0.13776	NUM
archive-397	243	19	3367	3367	NUM
archive-397	243	20	98.966	98.966	NUM
archive-397	243	21	0.00091032	0.00091032	NUM
archive-397	243	22	1347	1347	NUM
archive-397	243	23	figure	figure	NOUN
archive-397	243	24	5	5	NUM
archive-397	243	25	.	.	PUNCT
archive-397	244	1	the	the	DET
archive-397	244	2	recognition	recognition	NOUN
archive-397	244	3	rate	rate	NOUN
archive-397	244	4	for	for	ADP
archive-397	244	5	the	the	DET
archive-397	244	6	classification	classification	NOUN
archive-397	244	7	algorithms	algorithm	NOUN
archive-397	244	8	pg	pg	NOUN
archive-397	244	9	.	.	PUNCT
archive-397	244	10	493	493	NUM
archive-397	244	11	yassin	yassin	PROPN
archive-397	244	12	/	/	PUNCT
archive-397	244	13	the	the	DET
archive-397	244	14	academic	academic	ADJ
archive-397	244	15	research	research	NOUN
archive-397	244	16	community	community	NOUN
archive-397	244	17	publication	publication	NOUN
archive-397	244	18	8	8	NUM
archive-397	244	19	.	.	PUNCT
archive-397	245	1	conclusion	conclusion	VERB
archive-397	245	2	the	the	DET
archive-397	245	3	intrusion	intrusion	NOUN
archive-397	245	4	detection	detection	NOUN
archive-397	245	5	systems	system	NOUN
archive-397	245	6	are	be	AUX
archive-397	245	7	utilized	utilize	VERB
archive-397	245	8	to	to	PART
archive-397	245	9	distinguish	distinguish	VERB
archive-397	245	10	the	the	DET
archive-397	245	11	attacks	attack	NOUN
archive-397	245	12	coming	come	VERB
archive-397	245	13	towards	towards	ADP
archive-397	245	14	the	the	DET
archive-397	245	15	basic	basic	ADJ
archive-397	245	16	information	information	NOUN
archive-397	245	17	of	of	ADP
archive-397	245	18	the	the	DET
archive-397	245	19	client	client	NOUN
archive-397	245	20	.	.	PUNCT
archive-397	246	1	an	an	DET
archive-397	246	2	introduced	introduce	VERB
archive-397	246	3	optimized	optimize	VERB
archive-397	246	4	neural	neural	ADJ
archive-397	246	5	network	network	NOUN
archive-397	246	6	model	model	NOUN
archive-397	246	7	is	be	AUX
archive-397	246	8	based	base	VERB
archive-397	246	9	on	on	ADP
archive-397	246	10	studying	study	VERB
archive-397	246	11	the	the	DET
archive-397	246	12	intrusion	intrusion	NOUN
archive-397	246	13	detection	detection	NOUN
archive-397	246	14	features	feature	VERB
archive-397	246	15	and	and	CCONJ
archive-397	246	16	select	select	VERB
archive-397	246	17	the	the	DET
archive-397	246	18	most	most	ADV
archive-397	246	19	important	important	ADJ
archive-397	246	20	features	feature	NOUN
archive-397	246	21	only	only	ADV
archive-397	246	22	which	which	PRON
archive-397	246	23	creating	create	VERB
archive-397	246	24	an	an	DET
archive-397	246	25	optimal	optimal	ADJ
archive-397	246	26	intrusion	intrusion	NOUN
archive-397	246	27	detection	detection	NOUN
archive-397	246	28	system	system	NOUN
archive-397	246	29	.	.	PUNCT
archive-397	247	1	this	this	DET
archive-397	247	2	system	system	NOUN
archive-397	247	3	is	be	AUX
archive-397	247	4	based	base	VERB
archive-397	247	5	on	on	ADP
archive-397	247	6	combination	combination	NOUN
archive-397	247	7	of	of	ADP
archive-397	247	8	gsa	gsa	PROPN
archive-397	247	9	and	and	CCONJ
archive-397	247	10	pso	pso	NOUN
archive-397	247	11	with	with	ADP
archive-397	247	12	feed	feed	NOUN
archive-397	247	13	forward	forward	ADV
archive-397	247	14	neural	neural	ADJ
archive-397	247	15	network	network	NOUN
archive-397	247	16	ffnn	ffnn	NOUN
archive-397	247	17	classifier	classifier	NOUN
archive-397	247	18	with	with	ADP
archive-397	247	19	feature	feature	NOUN
archive-397	247	20	selection	selection	NOUN
archive-397	247	21	.	.	PUNCT
archive-397	248	1	the	the	DET
archive-397	248	2	classification	classification	NOUN
archive-397	248	3	proposed	propose	VERB
archive-397	248	4	system	system	NOUN
archive-397	248	5	is	be	AUX
archive-397	248	6	established	establish	VERB
archive-397	248	7	by	by	ADP
archive-397	248	8	three	three	NUM
archive-397	248	9	different	different	ADJ
archive-397	248	10	optimization	optimization	NOUN
archive-397	248	11	algorithms	algorithm	NOUN
archive-397	248	12	with	with	ADP
archive-397	248	13	certain	certain	ADJ
archive-397	248	14	ga	ga	PROPN
archive-397	248	15	as	as	ADP
archive-397	248	16	feature	feature	NOUN
archive-397	248	17	selection	selection	NOUN
archive-397	248	18	method	method	NOUN
archive-397	248	19	in	in	ADP
archive-397	248	20	weka	weka	PROPN
archive-397	248	21	program	program	PROPN
archive-397	248	22	.	.	PUNCT
archive-397	249	1	getting	get	VERB
archive-397	249	2	the	the	DET
archive-397	249	3	optimum	optimum	ADJ
archive-397	249	4	performance	performance	NOUN
archive-397	249	5	for	for	ADP
archive-397	249	6	the	the	DET
archive-397	249	7	classification	classification	NOUN
archive-397	249	8	process	process	NOUN
archive-397	249	9	is	be	AUX
archive-397	249	10	our	our	PRON
archive-397	249	11	major	major	ADJ
archive-397	249	12	goal	goal	NOUN
archive-397	249	13	,	,	PUNCT
archive-397	249	14	which	which	PRON
archive-397	249	15	has	have	AUX
archive-397	249	16	been	be	AUX
archive-397	249	17	done	do	VERB
archive-397	249	18	.	.	PUNCT
archive-397	250	1	the	the	DET
archive-397	250	2	best	good	ADJ
archive-397	250	3	algorithm	algorithm	NOUN
archive-397	250	4	performance	performance	NOUN
archive-397	250	5	based	base	VERB
archive-397	250	6	on	on	ADP
archive-397	250	7	ga	ga	PROPN
archive-397	250	8	feature	feature	NOUN
archive-397	250	9	selection	selection	NOUN
archive-397	250	10	is	be	AUX
archive-397	250	11	fnn	fnn	PROPN
archive-397	250	12	gsa	gsa	PROPN
archive-397	250	13	-	-	PUNCT
archive-397	250	14	pso	pso	NOUN
archive-397	250	15	classifier	classifier	NOUN
archive-397	250	16	with	with	ADP
archive-397	250	17	an	an	DET
archive-397	250	18	actuary	actuary	NOUN
archive-397	250	19	of	of	ADP
archive-397	250	20	98.96	98.96	NUM
archive-397	250	21	%	%	NOUN
archive-397	250	22	and	and	CCONJ
archive-397	250	23	the	the	DET
archive-397	250	24	process	process	NOUN
archive-397	250	25	time	time	NOUN
archive-397	250	26	is	be	AUX
archive-397	250	27	1347	1347	NUM
archive-397	250	28	sec	sec	PROPN
archive-397	250	29	.	.	PROPN
archive-397	251	1	for	for	ADP
archive-397	251	2	the	the	DET
archive-397	251	3	model	model	NOUN
archive-397	251	4	.	.	PUNCT
archive-397	252	1	while	while	SCONJ
archive-397	252	2	fnn	fnn	PROPN
archive-397	252	3	gsa	gsa	PROPN
archive-397	252	4	-	-	PUNCT
archive-397	252	5	pso	pso	NOUN
archive-397	252	6	without	without	ADP
archive-397	252	7	any	any	DET
archive-397	252	8	feature	feature	NOUN
archive-397	252	9	selection	selection	NOUN
archive-397	252	10	algorithm	algorithm	NOUN
archive-397	252	11	has	have	VERB
archive-397	252	12	the	the	DET
archive-397	252	13	lowest	low	ADJ
archive-397	252	14	average	average	ADJ
archive-397	252	15	error	error	NOUN
archive-397	252	16	0.13776compared	0.13776compare	VERB
archive-397	252	17	to	to	ADP
archive-397	252	18	others	other	NOUN
archive-397	252	19	.	.	PUNCT
archive-397	253	1	generating	generate	VERB
archive-397	253	2	an	an	DET
archive-397	253	3	intelligent	intelligent	ADJ
archive-397	253	4	agent	agent	NOUN
archive-397	253	5	fire	fire	NOUN
archive-397	253	6	toward	toward	ADP
archive-397	253	7	the	the	DET
archive-397	253	8	infected	infected	ADJ
archive-397	253	9	packet	packet	NOUN
archive-397	253	10	with	with	ADP
archive-397	253	11	other	other	ADJ
archive-397	253	12	new	new	ADJ
archive-397	253	13	different	different	ADJ
archive-397	253	14	classification	classification	NOUN
archive-397	253	15	algorithms	algorithm	NOUN
archive-397	253	16	in	in	ADP
archive-397	253	17	a	a	DET
archive-397	253	18	real	real	ADJ
archive-397	253	19	time	time	NOUN
archive-397	253	20	environment	environment	NOUN
archive-397	253	21	will	will	AUX
archive-397	253	22	be	be	AUX
archive-397	253	23	our	our	PRON
archive-397	253	24	future	future	ADJ
archive-397	253	25	work	work	NOUN
archive-397	253	26	.	.	PUNCT
archive-397	254	1	9	9	X
archive-397	254	2	.	.	NUM
archive-397	254	3	references	reference	NOUN
archive-397	254	4	1	1	NUM
archive-397	254	5	.	.	PUNCT
archive-397	255	1	aghdam	aghdam	PROPN
archive-397	255	2	,	,	PUNCT
archive-397	255	3	m.	m.	PROPN
archive-397	255	4	h.	h.	PROPN
archive-397	255	5	,	,	PUNCT
archive-397	255	6	&	&	CCONJ
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archive-397	257	8	)	)	PUNCT
archive-397	257	9	,	,	PUNCT
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archive-397	257	11	-	-	SYM
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archive-397	257	13	.	.	PUNCT
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archive-397	258	2	.	.	X
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archive-397	258	8	,	,	PUNCT
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archive-397	260	10	)	)	PUNCT
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archive-397	260	13	.	.	SYM
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archive-397	261	6	,	,	PUNCT
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archive-397	261	8	,	,	PUNCT
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archive-397	261	15	)	)	PUNCT
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archive-397	263	10	)	)	PUNCT
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archive-397	263	14	-	-	SYM
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archive-397	263	16	,	,	PUNCT
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archive-397	263	18	)	)	PUNCT
archive-397	263	19	,	,	PUNCT
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archive-397	263	21	-	-	SYM
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archive-397	263	23	.	.	NOUN
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archive-397	264	2	.	.	X
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archive-397	264	4	,	,	PUNCT
archive-397	264	5	d.	d.	PROPN
archive-397	264	6	(	(	PUNCT
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archive-397	264	8	)	)	PUNCT
archive-397	264	9	.	.	PUNCT
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archive-397	266	3	.	.	PUNCT
archive-397	267	1	5	5	X
archive-397	267	2	.	.	X
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archive-397	267	4	,	,	PUNCT
archive-397	267	5	h.	h.	PROPN
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archive-397	267	7	,	,	PUNCT
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archive-397	267	9	,	,	PUNCT
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archive-397	267	11	m.	m.	PROPN
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archive-397	267	20	)	)	PUNCT
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archive-397	269	8	–	–	PUNCT
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archive-397	269	11	,	,	PUNCT
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archive-397	269	13	)	)	PUNCT
archive-397	269	14	,	,	PUNCT
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archive-397	269	16	-	-	SYM
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archive-397	269	18	.	.	PUNCT
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archive-397	270	8	)	)	PUNCT
archive-397	270	9	.	.	PUNCT
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archive-397	271	10	-	-	PUNCT
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archive-397	272	7	,	,	PUNCT
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archive-397	273	8	,	,	PUNCT
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archive-397	275	14	)	)	PUNCT
archive-397	275	15	,	,	PUNCT
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archive-397	275	17	-	-	PUNCT
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archive-397	276	2	.	.	X
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archive-397	277	9	(	(	PUNCT
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archive-397	277	11	)	)	PUNCT
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archive-397	279	2	.	.	PUNCT
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archive-397	281	2	.	.	PUNCT
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archive-397	281	4	.	.	PUNCT
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archive-397	282	8	.	.	PUNCT
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archive-397	283	7	,	,	PUNCT
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archive-397	283	9	,	,	PUNCT
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archive-397	285	13	-	-	SYM
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archive-397	289	5	.	.	PUNCT
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archive-397	294	8	&	&	CCONJ
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archive-397	295	8	and	and	CCONJ
archive-397	295	9	selected	select	VERB
archive-397	295	10	attributes	attribute	NOUN
archive-397	295	11	.	.	PUNCT
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archive-397	296	2	of	of	ADP
archive-397	296	3	multidisciplinary	multidisciplinary	ADJ
archive-397	296	4	engineering	engineering	NOUN
archive-397	296	5	science	science	NOUN
archive-397	296	6	and	and	CCONJ
archive-397	296	7	technology	technology	NOUN
archive-397	296	8	(	(	PUNCT
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archive-397	296	10	)	)	PUNCT
archive-397	296	11	,	,	PUNCT
archive-397	296	12	2(6	2(6	NUM
archive-397	296	13	)	)	PUNCT
archive-397	296	14	,	,	PUNCT
archive-397	296	15	1553	1553	NUM
archive-397	296	16	-	-	SYM
archive-397	296	17	1557	1557	NUM
archive-397	296	18	.	.	PUNCT
archive-397	297	1	13	13	NUM
archive-397	297	2	.	.	X
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archive-397	297	4	,	,	PUNCT
archive-397	297	5	m.	m.	NOUN
archive-397	297	6	(	(	PUNCT
archive-397	297	7	2008	2008	NUM
archive-397	297	8	)	)	PUNCT
archive-397	297	9	.	.	PUNCT
archive-397	298	1	particle	particle	NOUN
archive-397	298	2	swarm	swarm	NOUN
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archive-397	298	5	artificial	artificial	ADJ
archive-397	298	6	neural	neural	ADJ
archive-397	298	7	networks	network	NOUN
archive-397	298	8	for	for	ADP
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archive-397	298	10	robots	robot	NOUN
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archive-397	299	5	.	.	PUNCT
archive-397	300	1	14	14	NUM
archive-397	300	2	.	.	PUNCT
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archive-397	301	2	,	,	PUNCT
archive-397	301	3	r.	r.	PROPN
archive-397	301	4	a.	a.	PROPN
archive-397	301	5	,	,	PUNCT
archive-397	301	6	soliman	soliman	PROPN
archive-397	301	7	,	,	PUNCT
archive-397	301	8	m.	m.	NOUN
archive-397	301	9	s.	s.	PROPN
archive-397	301	10	,	,	PUNCT
archive-397	301	11	&	&	CCONJ
archive-397	301	12	elsayed	elsaye	VERB
archive-397	301	13	,	,	PUNCT
archive-397	301	14	h.	h.	PROPN
archive-397	301	15	s.	s.	PROPN
archive-397	301	16	(	(	PUNCT
archive-397	301	17	2013	2013	NUM
archive-397	301	18	)	)	PUNCT
archive-397	301	19	.	.	PUNCT
archive-397	302	1	effective	effective	ADJ
archive-397	302	2	anomaly	anomaly	NOUN
archive-397	302	3	intrusion	intrusion	NOUN
archive-397	302	4	detection	detection	NOUN
archive-397	302	5	system	system	NOUN
archive-397	302	6	based	base	VERB
archive-397	302	7	on	on	ADP
archive-397	302	8	neural	neural	ADJ
archive-397	302	9	network	network	NOUN
archive-397	302	10	with	with	ADP
archive-397	302	11	indicator	indicator	NOUN
archive-397	302	12	variable	variable	NOUN
archive-397	302	13	and	and	CCONJ
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archive-397	302	15	set	set	NOUN
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archive-397	302	17	.	.	PUNCT
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archive-397	303	2	international	international	ADJ
archive-397	303	3	journal	journal	NOUN
archive-397	303	4	of	of	ADP
archive-397	303	5	computer	computer	NOUN
archive-397	303	6	science	science	NOUN
archive-397	303	7	issues	issue	NOUN
archive-397	303	8	,	,	PUNCT
archive-397	303	9	10(6	10(6	ADJ
archive-397	303	10	)	)	PUNCT
archive-397	303	11	,	,	PUNCT
archive-397	303	12	227	227	NUM
archive-397	303	13	-	-	SYM
archive-397	303	14	233	233	NUM
archive-397	303	15	.	.	PUNCT
archive-397	304	1	15	15	NUM
archive-397	304	2	.	.	PUNCT
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archive-397	305	2	,	,	PUNCT
archive-397	305	3	n.	n.	NOUN
archive-397	305	4	,	,	PUNCT
archive-397	305	5	&	&	CCONJ
archive-397	305	6	mukherjee	mukherjee	PROPN
archive-397	305	7	,	,	PUNCT
archive-397	305	8	s.	s.	PROPN
archive-397	305	9	(	(	PUNCT
archive-397	305	10	2012	2012	NUM
archive-397	305	11	)	)	PUNCT
archive-397	305	12	.	.	PUNCT
archive-397	306	1	a	a	DET
archive-397	306	2	layered	layered	ADJ
archive-397	306	3	appoach	appoach	NOUN
archive-397	306	4	to	to	PART
archive-397	306	5	enhance	enhance	VERB
archive-397	306	6	detection	detection	NOUN
archive-397	306	7	of	of	ADP
archive-397	306	8	novel	novel	ADJ
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archive-397	306	10	in	in	ADP
archive-397	306	11	ids	id	NOUN
archive-397	306	12	.	.	PUNCT
archive-397	307	1	international	international	ADJ
archive-397	307	2	journal	journal	NOUN
archive-397	307	3	of	of	ADP
archive-397	307	4	advances	advance	NOUN
archive-397	307	5	in	in	ADP
archive-397	307	6	engineering	engineering	NOUN
archive-397	307	7	&	&	CCONJ
archive-397	307	8	technology	technology	PROPN
archive-397	307	9	,	,	PUNCT
archive-397	307	10	4(2	4(2	NUM
archive-397	307	11	)	)	PUNCT
archive-397	307	12	,	,	PUNCT
archive-397	307	13	444	444	NUM
archive-397	307	14	-	-	SYM
archive-397	307	15	455	455	NUM
archive-397	307	16	.	.	PUNCT
archive-397	308	1	pg	pg	INTJ
archive-397	308	2	.	.	PUNCT
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archive-397	309	3	/	/	PUNCT
archive-397	309	4	the	the	DET
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archive-397	309	10	.	.	PUNCT
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archive-397	309	12	,	,	PUNCT
archive-397	309	13	h.	h.	PROPN
archive-397	309	14	,	,	PUNCT
archive-397	309	15	&	&	CCONJ
archive-397	309	16	cao	cao	PROPN
archive-397	309	17	,	,	PUNCT
archive-397	309	18	z.	z.	PROPN
archive-397	309	19	(	(	PUNCT
archive-397	309	20	2009	2009	NUM
archive-397	309	21	)	)	PUNCT
archive-397	309	22	.	.	PUNCT
archive-397	310	1	machine	machine	NOUN
archive-397	310	2	learning	learning	NOUN
archive-397	310	3	-	-	PUNCT
archive-397	310	4	based	base	VERB
archive-397	310	5	intrusion	intrusion	NOUN
archive-397	310	6	detection	detection	NOUN
archive-397	310	7	algorithms	algorithm	NOUN
archive-397	310	8	.	.	PUNCT
archive-397	311	1	journal	journal	NOUN
archive-397	311	2	of	of	ADP
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archive-397	311	5	systems(5:6	systems(5:6	NUM
archive-397	311	6	)	)	PUNCT
archive-397	311	7	,	,	PUNCT
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archive-397	311	9	-	-	SYM
archive-397	311	10	1831	1831	NUM
archive-397	311	11	.	.	PUNCT
archive-397	312	1	17	17	NUM
archive-397	312	2	.	.	X
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archive-397	312	4	,	,	PUNCT
archive-397	312	5	y.	y.	PROPN
archive-397	312	6	,	,	PUNCT
archive-397	312	7	el	el	PROPN
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archive-397	312	9	,	,	PUNCT
archive-397	312	10	e.	e.	PROPN
archive-397	312	11	,	,	PUNCT
archive-397	312	12	&	&	CCONJ
archive-397	312	13	el	el	PROPN
archive-397	312	14	taweel	taweel	PROPN
archive-397	312	15	,	,	PUNCT
archive-397	312	16	g.	g.	PROPN
archive-397	312	17	(	(	PUNCT
archive-397	312	18	2015	2015	NUM
archive-397	312	19	)	)	PUNCT
archive-397	312	20	.	.	PUNCT
archive-397	313	1	ijcsi	ijcsi	PROPN
archive-397	313	2	international	international	ADJ
archive-397	313	3	journal	journal	NOUN
archive-397	313	4	of	of	ADP
archive-397	313	5	computer	computer	NOUN
archive-397	313	6	science	science	NOUN
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archive-397	313	8	,	,	PUNCT
archive-397	313	9	12(3	12(3	NUM
archive-397	313	10	)	)	PUNCT
archive-397	313	11	,	,	PUNCT
archive-397	313	12	255	255	NUM
archive-397	313	13	-	-	SYM
archive-397	313	14	262	262	NUM
archive-397	313	15	.	.	NUM
archive-397	313	16	18	18	NUM
archive-397	313	17	.	.	X
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archive-397	314	2	,	,	PUNCT
archive-397	314	3	d.	d.	PROPN
archive-397	314	4	,	,	PUNCT
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archive-397	314	6	,	,	PUNCT
archive-397	314	7	d.	d.	PROPN
archive-397	314	8	s.	s.	PROPN
archive-397	314	9	,	,	PUNCT
archive-397	314	10	&	&	CCONJ
archive-397	314	11	tsang	tsang	PROPN
archive-397	314	12	,	,	PUNCT
archive-397	314	13	e.	e.	PROPN
archive-397	314	14	c.	c.	PROPN
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archive-397	314	17	)	)	PUNCT
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archive-397	314	25	vector	vector	NOUN
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archive-397	315	2	transactions	transaction	NOUN
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archive-397	315	5	networks	network	NOUN
archive-397	315	6	,	,	PUNCT
archive-397	315	7	18(5	18(5	NUM
archive-397	315	8	)	)	PUNCT
archive-397	315	9	,	,	PUNCT
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archive-397	315	11	-	-	SYM
archive-397	315	12	1462	1462	NUM
archive-397	315	13	.	.	PUNCT
archive-397	316	1	19	19	NUM
archive-397	316	2	.	.	X
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archive-397	316	4	,	,	PUNCT
archive-397	316	5	i.	i.	PROPN
archive-397	316	6	h.	h.	PROPN
archive-397	316	7	,	,	PUNCT
archive-397	316	8	frank	frank	PROPN
archive-397	316	9	,	,	PUNCT
archive-397	316	10	e.	e.	PROPN
archive-397	316	11	,	,	PUNCT
archive-397	316	12	&	&	CCONJ
archive-397	316	13	hall	hall	PROPN
archive-397	316	14	,	,	PUNCT
archive-397	316	15	m.	m.	NOUN
archive-397	316	16	a.	a.	NOUN
archive-397	316	17	(	(	PUNCT
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archive-397	316	19	)	)	PUNCT
archive-397	316	20	.	.	PUNCT
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archive-397	317	2	mining	mining	NOUN
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archive-397	317	5	machine	machine	NOUN
archive-397	317	6	learning	learning	NOUN
archive-397	317	7	tools	tool	NOUN
archive-397	317	8	and	and	CCONJ
archive-397	317	9	techniques	technique	NOUN
archive-397	317	10	.	.	PUNCT
archive-397	318	1	morgan	morgan	PROPN
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archive-397	318	3	,	,	PUNCT
archive-397	318	4	elsevier	elsevier	PROPN
archive-397	318	5	inc	inc	PROPN
archive-397	318	6	.	.	PROPN
archive-397	318	7	20	20	NUM
archive-397	318	8	.	.	X
archive-397	318	9	yu	yu	PROPN
archive-397	318	10	,	,	PUNCT
archive-397	318	11	j.	j.	PROPN
archive-397	318	12	,	,	PUNCT
archive-397	318	13	wang	wang	PROPN
archive-397	318	14	,	,	PUNCT
archive-397	318	15	s.	s.	PROPN
archive-397	318	16	,	,	PUNCT
archive-397	318	17	&	&	CCONJ
archive-397	318	18	xi	xi	PROPN
archive-397	318	19	,	,	PUNCT
archive-397	318	20	l.	l.	PROPN
archive-397	318	21	(	(	PUNCT
archive-397	318	22	2008	2008	NUM
archive-397	318	23	)	)	PUNCT
archive-397	318	24	.	.	PUNCT
archive-397	319	1	evolving	evolve	VERB
archive-397	319	2	artificial	artificial	ADJ
archive-397	319	3	neural	neural	ADJ
archive-397	319	4	networks	network	NOUN
archive-397	319	5	using	use	VERB
archive-397	319	6	an	an	DET
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archive-397	319	8	pso	pso	NOUN
archive-397	319	9	and	and	CCONJ
archive-397	319	10	dpso	dpso	NOUN
archive-397	319	11	.	.	PUNCT
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archive-397	320	2	,	,	PUNCT
archive-397	320	3	71(4	71(4	NUM
archive-397	320	4	-	-	SYM
archive-397	320	5	6	6	NUM
archive-397	320	6	)	)	PUNCT
archive-397	320	7	,	,	PUNCT
archive-397	320	8	1054–1060	1054–1060	NUM
archive-397	320	9	.	.	PUNCT
archive-397	321	1	pg	pg	NOUN
archive-397	321	2	.	.	PUNCT
archive-397	322	1	495	495	NUM
archive-397	322	2	introduction	introduction	NOUN
archive-397	322	3	related	relate	VERB
archive-397	322	4	work	work	NOUN
archive-397	322	5	dataset	dataset	NOUN
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archive-397	322	7	feature	feature	NOUN
archive-397	322	8	selection	selection	NOUN
archive-397	322	9	genetic	genetic	ADJ
archive-397	322	10	algorithms	algorithm	NOUN
archive-397	322	11	weka	weka	NOUN
archive-397	322	12	tool	tool	NOUN
archive-397	322	13	feature	feature	NOUN
archive-397	322	14	selection	selection	NOUN
archive-397	322	15	algorithm	algorithm	NOUN
archive-397	322	16	selected	select	VERB
archive-397	322	17	attributes	attribute	VERB
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archive-397	322	19	phase	phase	NOUN
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archive-397	322	21	proposed	propose	VERB
archive-397	322	22	model	model	NOUN
archive-397	322	23	the	the	DET
archive-397	322	24	related	relate	VERB
archive-397	322	25	objective	objective	ADJ
archive-397	322	26	function	function	NOUN
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archive-397	322	28	of	of	ADP
archive-397	322	29	gsa	gsa	PROPN
archive-397	322	30	setting	set	VERB
archive-397	322	31	the	the	DET
archive-397	322	32	agents	agent	NOUN
archive-397	322	33	estimating	estimate	VERB
archive-397	322	34	the	the	DET
archive-397	322	35	gravitational	gravitational	ADJ
archive-397	322	36	constant	constant	ADJ
archive-397	322	37	the	the	DET
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archive-397	322	50	positions	position	NOUN
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archive-397	322	52	agents	agent	NOUN
archive-397	322	53	:	:	PUNCT
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archive-397	322	55	results	result	NOUN
archive-397	322	56	and	and	CCONJ
archive-397	322	57	model	model	NOUN
archive-397	322	58	verification	verification	NOUN
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