id	sid	tid	token	lemma	pos
cana-620	1	1	communications	communication	NOUN
cana-620	1	2	on	on	ADP
cana-620	1	3	applied	apply	VERB
cana-620	1	4	nonlinear	nonlinear	ADJ
cana-620	1	5	analysis	analysis	NOUN
cana-620	1	6	issn	issn	NOUN
cana-620	1	7	:	:	PUNCT
cana-620	1	8	1074	1074	NUM
cana-620	1	9	-	-	PUNCT
cana-620	1	10	133x	133x	NUM
cana-620	1	11	vol	vol	NOUN
cana-620	1	12	31	31	NUM
cana-620	1	13	no	no	NOUN
cana-620	1	14	.	.	PUNCT
cana-620	2	1	2s	2s	NUM
cana-620	2	2	(	(	PUNCT
cana-620	2	3	2024	2024	NUM
cana-620	2	4	)	)	PUNCT
cana-620	2	5	186	186	NUM
cana-620	2	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-620	2	7	intrusion	intrusion	NOUN
cana-620	2	8	detection	detection	NOUN
cana-620	2	9	using	use	VERB
cana-620	2	10	whale	whale	NOUN
cana-620	2	11	optimization	optimization	NOUN
cana-620	2	12	based	base	VERB
cana-620	2	13	weighted	weight	VERB
cana-620	2	14	extreme	extreme	ADJ
cana-620	2	15	learning	learning	NOUN
cana-620	2	16	machine	machine	NOUN
cana-620	2	17	in	in	ADP
cana-620	2	18	applied	apply	VERB
cana-620	2	19	nonlinear	nonlinear	ADJ
cana-620	2	20	analysis	analysis	NOUN
cana-620	2	21	p.	p.	NOUN
cana-620	2	22	kaliraj1	kaliraj1	NOUN
cana-620	3	1	subramani	subramani	ADJ
cana-620	3	2	.	.	PUNCT
cana-620	4	1	b2	b2	NOUN
cana-620	4	2	1	1	NUM
cana-620	4	3	research	research	NOUN
cana-620	4	4	scholar	scholar	NOUN
cana-620	4	5	,	,	PUNCT
cana-620	4	6	snmv	snmv	PROPN
cana-620	4	7	college	college	PROPN
cana-620	4	8	of	of	ADP
cana-620	4	9	arts	art	NOUN
cana-620	4	10	and	and	CCONJ
cana-620	4	11	science	science	NOUN
cana-620	4	12	,	,	PUNCT
cana-620	4	13	coimbatore	coimbatore	PROPN
cana-620	4	14	,	,	PUNCT
cana-620	4	15	tamil	tamil	PROPN
cana-620	4	16	nadu	nadu	PROPN
cana-620	4	17	,	,	PUNCT
cana-620	4	18	india	india	PROPN
cana-620	4	19	,	,	PUNCT
cana-620	4	20	pkalirajmsc@gmail.com	pkalirajmsc@gmail.com	X
cana-620	4	21	2principal	2principal	NUM
cana-620	4	22	and	and	CCONJ
cana-620	4	23	research	research	NOUN
cana-620	4	24	supervisor	supervisor	NOUN
cana-620	4	25	,	,	PUNCT
cana-620	4	26	snmv	snmv	PROPN
cana-620	4	27	college	college	PROPN
cana-620	4	28	of	of	ADP
cana-620	4	29	arts	art	NOUN
cana-620	4	30	and	and	CCONJ
cana-620	4	31	science	science	NOUN
cana-620	4	32	,	,	PUNCT
cana-620	4	33	coimbatore	coimbatore	PROPN
cana-620	4	34	,	,	PUNCT
cana-620	4	35	tamil	tamil	PROPN
cana-620	4	36	nadu	nadu	PROPN
cana-620	4	37	,	,	PUNCT
cana-620	4	38	india	india	PROPN
cana-620	4	39	,	,	PUNCT
cana-620	4	40	drbsubramani@gmail.com	drbsubramani@gmail.com	X
cana-620	5	1	article	article	NOUN
cana-620	5	2	history	history	NOUN
cana-620	5	3	:	:	PUNCT
cana-620	5	4	received	receive	VERB
cana-620	5	5	:	:	PUNCT
cana-620	5	6	16	16	NUM
cana-620	5	7	-	-	SYM
cana-620	5	8	03	03	NUM
cana-620	5	9	-	-	PUNCT
cana-620	5	10	2024	2024	NUM
cana-620	5	11	revised	revise	VERB
cana-620	5	12	:	:	PUNCT
cana-620	5	13	30	30	NUM
cana-620	5	14	-	-	PUNCT
cana-620	5	15	04	04	NUM
cana-620	5	16	-	-	PUNCT
cana-620	5	17	2024	2024	NUM
cana-620	5	18	accepted	accept	VERB
cana-620	5	19	:	:	PUNCT
cana-620	5	20	19	19	NUM
cana-620	5	21	-	-	PUNCT
cana-620	5	22	05	05	NUM
cana-620	5	23	-	-	PUNCT
cana-620	5	24	2024	2024	NUM
cana-620	5	25	abstract	abstract	NOUN
cana-620	5	26	:	:	PUNCT
cana-620	5	27	the	the	DET
cana-620	5	28	development	development	NOUN
cana-620	5	29	of	of	ADP
cana-620	5	30	computer	computer	NOUN
cana-620	5	31	networks	network	NOUN
cana-620	5	32	and	and	CCONJ
cana-620	5	33	technology	technology	NOUN
cana-620	5	34	has	have	AUX
cana-620	5	35	led	lead	VERB
cana-620	5	36	to	to	ADP
cana-620	5	37	a	a	DET
cana-620	5	38	sharp	sharp	ADJ
cana-620	5	39	rise	rise	NOUN
cana-620	5	40	in	in	ADP
cana-620	5	41	network	network	NOUN
cana-620	5	42	assaults	assault	NOUN
cana-620	5	43	,	,	PUNCT
cana-620	5	44	making	make	VERB
cana-620	5	45	network	network	NOUN
cana-620	5	46	intrusion	intrusion	NOUN
cana-620	5	47	a	a	DET
cana-620	5	48	crucial	crucial	ADJ
cana-620	5	49	area	area	NOUN
cana-620	5	50	for	for	ADP
cana-620	5	51	research	research	NOUN
cana-620	5	52	and	and	CCONJ
cana-620	5	53	the	the	DET
cana-620	5	54	development	development	NOUN
cana-620	5	55	of	of	ADP
cana-620	5	56	counter	counter	ADJ
cana-620	5	57	measures	measure	NOUN
cana-620	5	58	.	.	PUNCT
cana-620	6	1	the	the	DET
cana-620	6	2	issue	issue	NOUN
cana-620	6	3	of	of	ADP
cana-620	6	4	network	network	NOUN
cana-620	6	5	intrusion	intrusion	NOUN
cana-620	6	6	can	can	AUX
cana-620	6	7	be	be	AUX
cana-620	6	8	resolved	resolve	VERB
cana-620	6	9	with	with	ADP
cana-620	6	10	the	the	DET
cana-620	6	11	advancement	advancement	NOUN
cana-620	6	12	of	of	ADP
cana-620	6	13	artificial	artificial	ADJ
cana-620	6	14	intelligence	intelligence	NOUN
cana-620	6	15	.	.	PUNCT
cana-620	7	1	we	we	PRON
cana-620	7	2	employ	employ	VERB
cana-620	7	3	a	a	DET
cana-620	7	4	whale	whale	NOUN
cana-620	7	5	optimization	optimization	NOUN
cana-620	7	6	algorithm	algorithm	NOUN
cana-620	7	7	(	(	PUNCT
cana-620	7	8	woa	woa	NOUN
cana-620	7	9	)	)	PUNCT
cana-620	7	10	based	base	VERB
cana-620	7	11	weighted	weight	VERB
cana-620	7	12	extreme	extreme	ADJ
cana-620	7	13	learning	learning	NOUN
cana-620	7	14	machine	machine	NOUN
cana-620	7	15	(	(	PUNCT
cana-620	7	16	welm	welm	NOUN
cana-620	7	17	)	)	PUNCT
cana-620	7	18	in	in	ADP
cana-620	7	19	this	this	DET
cana-620	7	20	study	study	NOUN
cana-620	7	21	to	to	PART
cana-620	7	22	identify	identify	VERB
cana-620	7	23	network	network	NOUN
cana-620	7	24	intrusions	intrusion	NOUN
cana-620	7	25	.	.	PUNCT
cana-620	8	1	prior	prior	ADV
cana-620	8	2	to	to	ADP
cana-620	8	3	training	train	VERB
cana-620	8	4	the	the	DET
cana-620	8	5	neural	neural	ADJ
cana-620	8	6	network	network	NOUN
cana-620	8	7	and	and	CCONJ
cana-620	8	8	obtaining	obtain	VERB
cana-620	8	9	the	the	DET
cana-620	8	10	output	output	NOUN
cana-620	8	11	weight	weight	NOUN
cana-620	8	12	,	,	PUNCT
cana-620	8	13	elm	elm	NOUN
cana-620	8	14	randomly	randomly	ADV
cana-620	8	15	allocates	allocate	VERB
cana-620	8	16	weight	weight	NOUN
cana-620	8	17	to	to	ADP
cana-620	8	18	the	the	DET
cana-620	8	19	network	network	NOUN
cana-620	8	20	.	.	PUNCT
cana-620	9	1	the	the	DET
cana-620	9	2	elm	elm	NOUN
cana-620	9	3	weights	weight	VERB
cana-620	9	4	need	need	VERB
cana-620	9	5	to	to	PART
cana-620	9	6	be	be	AUX
cana-620	9	7	optimized	optimize	VERB
cana-620	9	8	,	,	PUNCT
cana-620	9	9	thus	thus	ADV
cana-620	9	10	we	we	PRON
cana-620	9	11	're	be	AUX
cana-620	9	12	utilising	utilise	VERB
cana-620	9	13	the	the	DET
cana-620	9	14	whale	whale	NOUN
cana-620	9	15	optimisation	optimisation	NOUN
cana-620	9	16	technique	technique	NOUN
cana-620	9	17	to	to	PART
cana-620	9	18	do	do	VERB
cana-620	9	19	this	this	PRON
cana-620	9	20	.	.	PUNCT
cana-620	10	1	to	to	PART
cana-620	10	2	compare	compare	VERB
cana-620	10	3	and	and	CCONJ
cana-620	10	4	evaluate	evaluate	VERB
cana-620	10	5	the	the	DET
cana-620	10	6	effectiveness	effectiveness	NOUN
cana-620	10	7	of	of	ADP
cana-620	10	8	the	the	DET
cana-620	10	9	model	model	NOUN
cana-620	10	10	suggested	suggest	VERB
cana-620	10	11	in	in	ADP
cana-620	10	12	this	this	DET
cana-620	10	13	study	study	NOUN
cana-620	10	14	,	,	PUNCT
cana-620	10	15	nsl	nsl	PROPN
cana-620	10	16	-	-	PUNCT
cana-620	10	17	kdd	kdd	PROPN
cana-620	10	18	dataset	dataset	NOUN
cana-620	10	19	is	be	AUX
cana-620	10	20	utilised	utilise	VERB
cana-620	10	21	.	.	PUNCT
cana-620	11	1	the	the	DET
cana-620	11	2	experimental	experimental	ADJ
cana-620	11	3	findings	finding	NOUN
cana-620	11	4	demonstrate	demonstrate	VERB
cana-620	11	5	that	that	PRON
cana-620	11	6	weighted	weight	VERB
cana-620	11	7	elm	elm	PROPN
cana-620	11	8	-	-	PUNCT
cana-620	11	9	based	base	VERB
cana-620	11	10	whale	whale	NOUN
cana-620	11	11	optimisation	optimisation	NOUN
cana-620	11	12	outperformed	outperform	VERB
cana-620	11	13	other	other	ADJ
cana-620	11	14	approaches	approach	NOUN
cana-620	11	15	in	in	ADP
cana-620	11	16	detecting	detect	VERB
cana-620	11	17	network	network	NOUN
cana-620	11	18	intrusions	intrusion	NOUN
cana-620	11	19	and	and	CCONJ
cana-620	11	20	reducing	reduce	VERB
cana-620	11	21	false	false	ADJ
cana-620	11	22	positive	positive	ADJ
cana-620	11	23	and	and	CCONJ
cana-620	11	24	false	false	ADJ
cana-620	11	25	negative	negative	ADJ
cana-620	11	26	rates	rate	NOUN
cana-620	11	27	.	.	PUNCT
cana-620	12	1	keywords	keyword	NOUN
cana-620	12	2	:	:	PUNCT
cana-620	12	3	whale	whale	NOUN
cana-620	12	4	optimization	optimization	NOUN
cana-620	12	5	,	,	PUNCT
cana-620	12	6	weighted	weight	VERB
cana-620	12	7	extreme	extreme	ADJ
cana-620	12	8	learning	learning	NOUN
cana-620	12	9	machine	machine	NOUN
cana-620	12	10	,	,	PUNCT
cana-620	12	11	intrusion	intrusion	NOUN
cana-620	12	12	detection	detection	NOUN
cana-620	12	13	in	in	ADP
cana-620	12	14	networking	network	VERB
cana-620	12	15	,	,	PUNCT
cana-620	12	16	false	false	ADJ
cana-620	12	17	alarm	alarm	NOUN
cana-620	12	18	reduction	reduction	NOUN
cana-620	12	19	in	in	ADP
cana-620	12	20	networking	network	VERB
cana-620	12	21	.	.	PUNCT
cana-620	13	1	1	1	X
cana-620	13	2	.	.	X
cana-620	13	3	introduction	introduction	NOUN
cana-620	13	4	the	the	DET
cana-620	13	5	internet	internet	NOUN
cana-620	13	6	has	have	AUX
cana-620	13	7	become	become	VERB
cana-620	13	8	a	a	DET
cana-620	13	9	part	part	NOUN
cana-620	13	10	of	of	ADP
cana-620	13	11	thousands	thousand	NOUN
cana-620	13	12	of	of	ADP
cana-620	13	13	families	family	NOUN
cana-620	13	14	thanks	thank	NOUN
cana-620	13	15	to	to	ADP
cana-620	13	16	the	the	DET
cana-620	13	17	advancement	advancement	NOUN
cana-620	13	18	of	of	ADP
cana-620	13	19	science	science	NOUN
cana-620	13	20	and	and	CCONJ
cana-620	13	21	technology	technology	NOUN
cana-620	13	22	.	.	PUNCT
cana-620	14	1	it	it	PRON
cana-620	14	2	has	have	AUX
cana-620	14	3	made	make	VERB
cana-620	14	4	our	our	PRON
cana-620	14	5	lives	life	NOUN
cana-620	14	6	more	more	ADV
cana-620	14	7	convenient	convenient	ADJ
cana-620	14	8	,	,	PUNCT
cana-620	14	9	but	but	CCONJ
cana-620	14	10	it	it	PRON
cana-620	14	11	has	have	AUX
cana-620	14	12	also	also	ADV
cana-620	14	13	led	lead	VERB
cana-620	14	14	to	to	ADP
cana-620	14	15	problems	problem	NOUN
cana-620	14	16	with	with	ADP
cana-620	14	17	network	network	NOUN
cana-620	14	18	security	security	NOUN
cana-620	14	19	.	.	PUNCT
cana-620	15	1	scholars	scholar	NOUN
cana-620	15	2	in	in	ADP
cana-620	15	3	network	network	NOUN
cana-620	15	4	security	security	NOUN
cana-620	15	5	have	have	AUX
cana-620	15	6	continually	continually	ADV
cana-620	15	7	focused	focus	VERB
cana-620	15	8	on	on	ADP
cana-620	15	9	intrusion	intrusion	NOUN
cana-620	15	10	detection	detection	NOUN
cana-620	15	11	system	system	NOUN
cana-620	15	12	(	(	PUNCT
cana-620	15	13	ids	id	NOUN
cana-620	15	14	)	)	PUNCT
cana-620	15	15	,	,	PUNCT
cana-620	15	16	network	network	NOUN
cana-620	15	17	security	security	NOUN
cana-620	15	18	systems	system	NOUN
cana-620	15	19	important	important	ADJ
cana-620	15	20	element	element	NOUN
cana-620	15	21	.	.	PUNCT
cana-620	16	1	industry	industry	NOUN
cana-620	16	2	and	and	CCONJ
cana-620	16	3	academia	academia	NOUN
cana-620	16	4	use	use	VERB
cana-620	16	5	a	a	DET
cana-620	16	6	variety	variety	NOUN
cana-620	16	7	of	of	ADP
cana-620	16	8	technologies	technology	NOUN
cana-620	16	9	and	and	CCONJ
cana-620	16	10	measures	measure	NOUN
cana-620	16	11	to	to	PART
cana-620	16	12	solve	solve	VERB
cana-620	16	13	network	network	NOUN
cana-620	16	14	security	security	NOUN
cana-620	16	15	problems	problem	NOUN
cana-620	16	16	.	.	PUNCT
cana-620	17	1	ids	ids	PROPN
cana-620	17	2	serves	serve	VERB
cana-620	17	3	as	as	ADP
cana-620	17	4	the	the	DET
cana-620	17	5	second	second	ADJ
cana-620	17	6	line	line	NOUN
cana-620	17	7	of	of	ADP
cana-620	17	8	defense	defense	NOUN
cana-620	17	9	in	in	ADP
cana-620	17	10	terms	term	NOUN
cana-620	17	11	of	of	ADP
cana-620	17	12	security	security	NOUN
cana-620	17	13	after	after	ADP
cana-620	17	14	the	the	DET
cana-620	17	15	firewall	firewall	NOUN
cana-620	17	16	.	.	PUNCT
cana-620	18	1	it	it	PRON
cana-620	18	2	gathers	gather	VERB
cana-620	18	3	and	and	CCONJ
cana-620	18	4	examines	examine	VERB
cana-620	18	5	network	network	NOUN
cana-620	18	6	data	datum	NOUN
cana-620	18	7	,	,	PUNCT
cana-620	18	8	looks	look	VERB
cana-620	18	9	for	for	ADP
cana-620	18	10	network	network	NOUN
cana-620	18	11	activity	activity	NOUN
cana-620	18	12	that	that	PRON
cana-620	18	13	defies	defy	VERB
cana-620	18	14	security	security	NOUN
cana-620	18	15	rules	rule	NOUN
cana-620	18	16	,	,	PUNCT
cana-620	18	17	and	and	CCONJ
cana-620	18	18	then	then	ADV
cana-620	18	19	reacts	react	VERB
cana-620	18	20	in	in	ADP
cana-620	18	21	concert	concert	NOUN
cana-620	18	22	with	with	ADP
cana-620	18	23	other	other	ADJ
cana-620	18	24	devices	device	NOUN
cana-620	18	25	.	.	PUNCT
cana-620	19	1	information	information	NOUN
cana-620	19	2	security	security	NOUN
cana-620	19	3	events	event	NOUN
cana-620	19	4	happen	happen	VERB
cana-620	19	5	regularly	regularly	ADV
cana-620	19	6	despite	despite	SCONJ
cana-620	19	7	the	the	DET
cana-620	19	8	fact	fact	NOUN
cana-620	19	9	that	that	SCONJ
cana-620	19	10	people	people	NOUN
cana-620	19	11	's	's	PART
cana-620	19	12	understanding	understanding	NOUN
cana-620	19	13	of	of	ADP
cana-620	19	14	information	information	NOUN
cana-620	19	15	security	security	NOUN
cana-620	19	16	is	be	AUX
cana-620	19	17	always	always	ADV
cana-620	19	18	rising	rise	VERB
cana-620	19	19	.	.	PUNCT
cana-620	20	1	this	this	PRON
cana-620	20	2	is	be	AUX
cana-620	20	3	due	due	ADJ
cana-620	20	4	to	to	ADP
cana-620	20	5	the	the	DET
cana-620	20	6	complexity	complexity	NOUN
cana-620	20	7	of	of	ADP
cana-620	20	8	network	network	NOUN
cana-620	20	9	assaults	assault	NOUN
cana-620	20	10	and	and	CCONJ
cana-620	20	11	the	the	DET
cana-620	20	12	wide	wide	ADJ
cana-620	20	13	variety	variety	NOUN
cana-620	20	14	of	of	ADP
cana-620	20	15	attack	attack	NOUN
cana-620	20	16	techniques	technique	NOUN
cana-620	20	17	.	.	PUNCT
cana-620	21	1	a	a	DET
cana-620	21	2	significant	significant	ADJ
cana-620	21	3	obstacle	obstacle	NOUN
cana-620	21	4	to	to	PART
cana-620	21	5	intrusion	intrusion	NOUN
cana-620	21	6	detection	detection	NOUN
cana-620	21	7	is	be	AUX
cana-620	21	8	the	the	DET
cana-620	21	9	massive	massive	ADJ
cana-620	21	10	and	and	CCONJ
cana-620	21	11	complicated	complicated	ADJ
cana-620	21	12	intrusion	intrusion	NOUN
cana-620	21	13	data	datum	NOUN
cana-620	21	14	with	with	ADP
cana-620	21	15	imbalanced	imbalanced	ADJ
cana-620	21	16	labelling	labelling	NOUN
cana-620	21	17	.	.	PUNCT
cana-620	22	1	in	in	ADP
cana-620	22	2	the	the	DET
cana-620	22	3	area	area	NOUN
cana-620	22	4	of	of	ADP
cana-620	22	5	network	network	NOUN
cana-620	22	6	security	security	NOUN
cana-620	22	7	,	,	PUNCT
cana-620	22	8	there	there	PRON
cana-620	22	9	is	be	VERB
cana-620	22	10	significant	significant	ADJ
cana-620	22	11	research	research	NOUN
cana-620	22	12	value	value	NOUN
cana-620	22	13	and	and	CCONJ
cana-620	22	14	a	a	DET
cana-620	22	15	wide	wide	ADJ
cana-620	22	16	range	range	NOUN
cana-620	22	17	of	of	ADP
cana-620	22	18	application	application	NOUN
cana-620	22	19	possibilities	possibility	NOUN
cana-620	22	20	for	for	ADP
cana-620	22	21	how	how	SCONJ
cana-620	22	22	to	to	PART
cana-620	22	23	efficiently	efficiently	ADV
cana-620	22	24	choose	choose	VERB
cana-620	22	25	characteristics	characteristic	NOUN
cana-620	22	26	from	from	ADP
cana-620	22	27	intrusion	intrusion	NOUN
cana-620	22	28	data	datum	NOUN
cana-620	22	29	for	for	ADP
cana-620	22	30	multi	multi	ADJ
cana-620	22	31	-	-	ADJ
cana-620	22	32	classification	classification	ADJ
cana-620	22	33	and	and	CCONJ
cana-620	22	34	enhance	enhance	NOUN
cana-620	22	35	intrusion	intrusion	NOUN
cana-620	22	36	detection	detection	NOUN
cana-620	22	37	accuracy	accuracy	NOUN
cana-620	22	38	.	.	PUNCT
cana-620	23	1	intrusion	intrusion	NOUN
cana-620	23	2	detection	detection	NOUN
cana-620	23	3	(	(	PUNCT
cana-620	23	4	i	i	NOUN
cana-620	23	5	d	d	PROPN
cana-620	23	6	)	)	PUNCT
cana-620	23	7	is	be	AUX
cana-620	23	8	an	an	DET
cana-620	23	9	active	active	ADJ
cana-620	23	10	defence	defence	NOUN
cana-620	23	11	technique	technique	NOUN
cana-620	23	12	that	that	PRON
cana-620	23	13	has	have	AUX
cana-620	23	14	steadily	steadily	ADV
cana-620	23	15	emerged	emerge	VERB
cana-620	23	16	as	as	ADP
cana-620	23	17	a	a	DET
cana-620	23	18	crucial	crucial	ADJ
cana-620	23	19	component	component	NOUN
cana-620	23	20	of	of	ADP
cana-620	23	21	network	network	NOUN
cana-620	23	22	system	system	NOUN
cana-620	23	23	security	security	NOUN
cana-620	23	24	.	.	PUNCT
cana-620	24	1	an	an	DET
cana-620	24	2	intrusion	intrusion	NOUN
cana-620	24	3	detection	detection	NOUN
cana-620	24	4	system	system	NOUN
cana-620	24	5	's	's	PART
cana-620	24	6	(	(	PUNCT
cana-620	24	7	ids	id	NOUN
cana-620	24	8	)	)	PUNCT
cana-620	24	9	job	job	NOUN
cana-620	24	10	is	be	AUX
cana-620	24	11	to	to	PART
cana-620	24	12	spot	spot	VERB
cana-620	24	13	suspicious	suspicious	ADJ
cana-620	24	14	activity	activity	NOUN
cana-620	24	15	on	on	ADP
cana-620	24	16	protected	protect	VERB
cana-620	24	17	internal	internal	ADJ
cana-620	24	18	networks	network	NOUN
cana-620	24	19	,	,	PUNCT
cana-620	24	20	such	such	ADJ
cana-620	24	21	as	as	ADP
cana-620	24	22	assaults	assault	NOUN
cana-620	24	23	or	or	CCONJ
cana-620	24	24	unauthorised	unauthorised	ADJ
cana-620	24	25	access	access	NOUN
cana-620	24	26	.	.	PUNCT
cana-620	25	1	an	an	DET
cana-620	25	2	important	important	ADJ
cana-620	25	3	area	area	NOUN
cana-620	25	4	of	of	ADP
cana-620	25	5	research	research	NOUN
cana-620	25	6	for	for	ADP
cana-620	25	7	ids	id	NOUN
cana-620	25	8	is	be	AUX
cana-620	25	9	user	user	NOUN
cana-620	25	10	behaviour	behaviour	NOUN
cana-620	25	11	modelling	modelling	NOUN
cana-620	25	12	based	base	VERB
cana-620	25	13	on	on	ADP
cana-620	25	14	machine	machine	NOUN
cana-620	25	15	learning	learning	NOUN
cana-620	25	16	,	,	PUNCT
cana-620	25	17	which	which	PRON
cana-620	25	18	is	be	AUX
cana-620	25	19	used	use	VERB
cana-620	25	20	to	to	PART
cana-620	25	21	differentiate	differentiate	VERB
cana-620	25	22	between	between	ADP
cana-620	25	23	the	the	DET
cana-620	25	24	system	system	NOUN
cana-620	25	25	's	's	PART
cana-620	25	26	normal	normal	ADJ
cana-620	25	27	and	and	CCONJ
cana-620	25	28	communications	communication	NOUN
cana-620	25	29	on	on	ADP
cana-620	25	30	applied	apply	VERB
cana-620	25	31	nonlinear	nonlinear	ADJ
cana-620	25	32	analysis	analysis	NOUN
cana-620	25	33	issn	issn	NOUN
cana-620	25	34	:	:	PUNCT
cana-620	25	35	1074	1074	NUM
cana-620	25	36	-	-	PUNCT
cana-620	25	37	133x	133x	NUM
cana-620	25	38	vol	vol	NOUN
cana-620	25	39	31	31	NUM
cana-620	25	40	no	no	NOUN
cana-620	25	41	.	.	PUNCT
cana-620	26	1	2s	2s	NUM
cana-620	26	2	(	(	PUNCT
cana-620	26	3	2024	2024	NUM
cana-620	26	4	)	)	PUNCT
cana-620	26	5	187	187	NUM
cana-620	26	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	26	7	aberrant	aberrant	ADJ
cana-620	26	8	behaviour	behaviour	NOUN
cana-620	26	9	by	by	ADP
cana-620	26	10	learning	learn	VERB
cana-620	26	11	observational	observational	ADJ
cana-620	26	12	data	datum	NOUN
cana-620	26	13	such	such	ADJ
cana-620	26	14	as	as	ADP
cana-620	26	15	network	network	NOUN
cana-620	26	16	traffic	traffic	NOUN
cana-620	26	17	and	and	CCONJ
cana-620	26	18	host	host	NOUN
cana-620	26	19	audit	audit	NOUN
cana-620	26	20	logs	log	NOUN
cana-620	26	21	.	.	PUNCT
cana-620	27	1	zhu	zhu	PROPN
cana-620	27	2	and	and	CCONJ
cana-620	27	3	co.	co.	PROPN
cana-620	28	1	[	[	X
cana-620	28	2	1	1	X
cana-620	28	3	]	]	PUNCT
cana-620	28	4	a	a	DET
cana-620	28	5	meta	meta	ADJ
cana-620	28	6	-	-	PUNCT
cana-620	28	7	heuristic	heuristic	ADJ
cana-620	28	8	approach	approach	NOUN
cana-620	28	9	based	base	VERB
cana-620	28	10	on	on	ADP
cana-620	28	11	population	population	NOUN
cana-620	28	12	known	know	VERB
cana-620	28	13	as	as	ADP
cana-620	28	14	the	the	DET
cana-620	28	15	whale	whale	NOUN
cana-620	28	16	optimisation	optimisation	NOUN
cana-620	28	17	algorithm	algorithm	NOUN
cana-620	28	18	(	(	PUNCT
cana-620	28	19	woa	woa	PROPN
cana-620	28	20	)	)	PUNCT
cana-620	28	21	has	have	AUX
cana-620	28	22	been	be	AUX
cana-620	28	23	used	use	VERB
cana-620	28	24	for	for	ADP
cana-620	28	25	model	model	NOUN
cana-620	28	26	prediction	prediction	NOUN
cana-620	28	27	,	,	PUNCT
cana-620	28	28	parameter	parameter	NOUN
cana-620	28	29	optimization	optimization	NOUN
cana-620	28	30	,	,	PUNCT
cana-620	28	31	and	and	CCONJ
cana-620	28	32	other	other	ADJ
cana-620	28	33	things	thing	NOUN
cana-620	28	34	.	.	PUNCT
cana-620	29	1	wang	wang	PROPN
cana-620	29	2	and	and	CCONJ
cana-620	29	3	co.	co.	PROPN
cana-620	30	1	[	[	X
cana-620	30	2	2	2	X
cana-620	30	3	]	]	X
cana-620	30	4	woa	woa	VERB
cana-620	30	5	has	have	VERB
cana-620	30	6	a	a	DET
cana-620	30	7	distinctive	distinctive	ADJ
cana-620	30	8	search	search	NOUN
cana-620	30	9	technique	technique	NOUN
cana-620	30	10	,	,	PUNCT
cana-620	30	11	and	and	CCONJ
cana-620	30	12	its	its	PRON
cana-620	30	13	use	use	NOUN
cana-620	30	14	the	the	DET
cana-620	30	15	method	method	NOUN
cana-620	30	16	has	have	VERB
cana-620	30	17	great	great	ADJ
cana-620	30	18	overall	overall	ADJ
cana-620	30	19	stability	stability	NOUN
cana-620	30	20	,	,	PUNCT
cana-620	30	21	minimal	minimal	ADJ
cana-620	30	22	parameters	parameter	NOUN
cana-620	30	23	,	,	PUNCT
cana-620	30	24	and	and	CCONJ
cana-620	30	25	significant	significant	ADJ
cana-620	30	26	optimisation	optimisation	NOUN
cana-620	30	27	capabilities	capability	NOUN
cana-620	30	28	.	.	PUNCT
cana-620	31	1	the	the	DET
cana-620	31	2	meta	meta	ADJ
cana-620	31	3	-	-	PUNCT
cana-620	31	4	heuristic	heuristic	ADJ
cana-620	31	5	algorithm	algorithm	NOUN
cana-620	31	6	has	have	VERB
cana-620	31	7	specific	specific	ADJ
cana-620	31	8	advantages	advantage	NOUN
cana-620	31	9	in	in	ADP
cana-620	31	10	solving	solve	VERB
cana-620	31	11	the	the	DET
cana-620	31	12	job	job	NOUN
cana-620	31	13	-	-	PUNCT
cana-620	31	14	shop	shop	NOUN
cana-620	31	15	scheduling	scheduling	NOUN
cana-620	31	16	problem	problem	NOUN
cana-620	31	17	.	.	PUNCT
cana-620	32	1	li	li	PROPN
cana-620	32	2	et	et	PROPN
cana-620	32	3	al	al	PROPN
cana-620	32	4	.	.	PUNCT
cana-620	33	1	[	[	X
cana-620	33	2	3	3	X
cana-620	33	3	]	]	PUNCT
cana-620	33	4	firstly	firstly	ADV
cana-620	33	5	applied	apply	VERB
cana-620	33	6	woa	woa	INTJ
cana-620	33	7	to	to	ADP
cana-620	33	8	the	the	DET
cana-620	33	9	workshop	workshop	NOUN
cana-620	33	10	scheduling	scheduling	NOUN
cana-620	33	11	problem	problem	NOUN
cana-620	33	12	,	,	PUNCT
cana-620	33	13	and	and	CCONJ
cana-620	33	14	solved	solve	VERB
cana-620	33	15	jsp	jsp	PROPN
cana-620	33	16	by	by	ADP
cana-620	33	17	using	use	VERB
cana-620	33	18	the	the	DET
cana-620	33	19	improved	improve	VERB
cana-620	33	20	woa	woa	NOUN
cana-620	33	21	of	of	ADP
cana-620	33	22	quantum	quantum	NOUN
cana-620	33	23	computing	computing	NOUN
cana-620	33	24	.	.	PUNCT
cana-620	34	1	zhang	zhang	PROPN
cana-620	34	2	siqi	siqi	PROPN
cana-620	34	3	et	et	PROPN
cana-620	34	4	al	al	PROPN
cana-620	34	5	.	.	PUNCT
cana-620	35	1	[	[	X
cana-620	35	2	4	4	X
cana-620	35	3	]	]	PUNCT
cana-620	35	4	proposed	propose	VERB
cana-620	35	5	an	an	DET
cana-620	35	6	improved	improve	VERB
cana-620	35	7	woa	woa	NOUN
cana-620	35	8	to	to	PART
cana-620	35	9	optimize	optimize	VERB
cana-620	35	10	single	single	ADJ
cana-620	35	11	-	-	PUNCT
cana-620	35	12	objective	objective	ADJ
cana-620	35	13	fjsp	fjsp	NOUN
cana-620	35	14	.	.	PUNCT
cana-620	36	1	the	the	DET
cana-620	36	2	nonlinear	nonlinear	ADJ
cana-620	36	3	convergence	convergence	NOUN
cana-620	36	4	factor	factor	NOUN
cana-620	36	5	and	and	CCONJ
cana-620	36	6	the	the	DET
cana-620	36	7	sine	sine	ADJ
cana-620	36	8	-	-	PUNCT
cana-620	36	9	cosine	cosine	NOUN
cana-620	36	10	algorithm	algorithm	NOUN
cana-620	36	11	are	be	AUX
cana-620	36	12	used	use	VERB
cana-620	36	13	to	to	PART
cana-620	36	14	enhance	enhance	VERB
cana-620	36	15	the	the	DET
cana-620	36	16	woa	woa	NOUN
cana-620	36	17	in	in	ADP
cana-620	36	18	this	this	DET
cana-620	36	19	paper	paper	NOUN
cana-620	36	20	's	's	PART
cana-620	36	21	fjsp	fjsp	PROPN
cana-620	36	22	solution	solution	NOUN
cana-620	36	23	.	.	PUNCT
cana-620	37	1	a	a	DET
cana-620	37	2	mixed	mixed	ADJ
cana-620	37	3	sine	sine	ADJ
cana-620	37	4	-	-	PUNCT
cana-620	37	5	cosine	cosine	ADJ
cana-620	37	6	whale	whale	NOUN
cana-620	37	7	optimisation	optimisation	NOUN
cana-620	37	8	algorithm	algorithm	NOUN
cana-620	37	9	(	(	PUNCT
cana-620	37	10	scwoa	scwoa	ADJ
cana-620	37	11	)	)	PUNCT
cana-620	37	12	is	be	AUX
cana-620	37	13	also	also	ADV
cana-620	37	14	proposed	propose	VERB
cana-620	37	15	,	,	PUNCT
cana-620	37	16	and	and	CCONJ
cana-620	37	17	the	the	DET
cana-620	37	18	scwoa	scwoa	ADJ
cana-620	37	19	solution	solution	NOUN
cana-620	37	20	is	be	AUX
cana-620	37	21	used	use	VERB
cana-620	37	22	to	to	PART
cana-620	37	23	minimise	minimise	VERB
cana-620	37	24	and	and	CCONJ
cana-620	37	25	maximise	maximise	VERB
cana-620	37	26	the	the	DET
cana-620	37	27	fjsp	fjsp	PROPN
cana-620	37	28	of	of	ADP
cana-620	37	29	the	the	DET
cana-620	37	30	time	time	NOUN
cana-620	37	31	-	-	PUNCT
cana-620	37	32	to	to	PART
cana-620	37	33	-	-	PUNCT
cana-620	37	34	make	make	VERB
cana-620	37	35	.	.	PUNCT
cana-620	38	1	guo	guo	PROPN
cana-620	38	2	et	et	PROPN
cana-620	38	3	al	al	PROPN
cana-620	38	4	.	.	PROPN
cana-620	38	5	's	's	PART
cana-620	39	1	[	[	X
cana-620	39	2	5	5	NUM
cana-620	39	3	]	]	PUNCT
cana-620	39	4	enhanced	enhance	VERB
cana-620	39	5	the	the	DET
cana-620	39	6	whale	whale	NOUN
cana-620	39	7	optimization	optimization	NOUN
cana-620	39	8	algorithm	algorithm	NOUN
cana-620	39	9	(	(	PUNCT
cana-620	39	10	woa	woa	PROPN
cana-620	39	11	)	)	PUNCT
cana-620	39	12	,	,	PUNCT
cana-620	39	13	which	which	PRON
cana-620	39	14	successfully	successfully	ADV
cana-620	39	15	increased	increase	VERB
cana-620	39	16	the	the	DET
cana-620	39	17	whale	whale	NOUN
cana-620	39	18	algorithm	algorithm	NOUN
cana-620	39	19	's	's	PART
cana-620	39	20	capacity	capacity	NOUN
cana-620	39	21	for	for	ADP
cana-620	39	22	global	global	ADJ
cana-620	39	23	search	search	NOUN
cana-620	39	24	while	while	SCONJ
cana-620	39	25	assuring	assure	VERB
cana-620	39	26	algorithm	algorithm	NOUN
cana-620	39	27	convergence	convergence	NOUN
cana-620	39	28	.	.	PUNCT
cana-620	40	1	to	to	PART
cana-620	40	2	address	address	VERB
cana-620	40	3	the	the	DET
cana-620	40	4	flaw	flaw	NOUN
cana-620	40	5	that	that	SCONJ
cana-620	40	6	the	the	DET
cana-620	40	7	woa	woa	PROPN
cana-620	40	8	algorithm	algorithm	NOUN
cana-620	40	9	is	be	AUX
cana-620	40	10	liable	liable	ADJ
cana-620	40	11	to	to	ADP
cana-620	40	12	local	local	ADJ
cana-620	40	13	optimum	optimum	NOUN
cana-620	40	14	,	,	PUNCT
cana-620	40	15	huang	huang	PROPN
cana-620	40	16	et	et	PROPN
cana-620	40	17	al	al	PROPN
cana-620	40	18	.	.	PUNCT
cana-620	41	1	[	[	X
cana-620	41	2	6	6	NUM
cana-620	41	3	]	]	PUNCT
cana-620	41	4	combined	combine	VERB
cana-620	41	5	the	the	DET
cana-620	41	6	cosine	cosine	NOUN
cana-620	41	7	factor	factor	NOUN
cana-620	41	8	and	and	CCONJ
cana-620	41	9	polynomial	polynomial	ADJ
cana-620	41	10	mutation	mutation	NOUN
cana-620	41	11	approach	approach	NOUN
cana-620	41	12	.	.	PUNCT
cana-620	42	1	although	although	SCONJ
cana-620	42	2	the	the	DET
cana-620	42	3	swarm	swarm	NOUN
cana-620	42	4	intelligence	intelligence	NOUN
cana-620	42	5	algorithm	algorithm	NOUN
cana-620	42	6	has	have	AUX
cana-620	42	7	made	make	VERB
cana-620	42	8	some	some	DET
cana-620	42	9	progress	progress	NOUN
cana-620	42	10	in	in	ADP
cana-620	42	11	the	the	DET
cana-620	42	12	field	field	NOUN
cana-620	42	13	of	of	ADP
cana-620	42	14	hypersonic	hypersonic	ADJ
cana-620	42	15	trajectory	trajectory	NOUN
cana-620	42	16	optimization	optimization	NOUN
cana-620	42	17	,	,	PUNCT
cana-620	42	18	the	the	DET
cana-620	42	19	swarm	swarm	NOUN
cana-620	42	20	intelligence	intelligence	NOUN
cana-620	42	21	optimisation	optimisation	NOUN
cana-620	42	22	method	method	NOUN
cana-620	42	23	still	still	ADV
cana-620	42	24	has	have	VERB
cana-620	42	25	issues	issue	NOUN
cana-620	42	26	with	with	ADP
cana-620	42	27	complicated	complicated	ADJ
cana-620	42	28	restricted	restrict	VERB
cana-620	42	29	problem	problem	NOUN
cana-620	42	30	solving	solving	NOUN
cana-620	42	31	,	,	PUNCT
cana-620	42	32	including	include	VERB
cana-620	42	33	low	low	ADJ
cana-620	42	34	solution	solution	NOUN
cana-620	42	35	efficiency	efficiency	NOUN
cana-620	42	36	,	,	PUNCT
cana-620	42	37	premature	premature	ADJ
cana-620	42	38	,	,	PUNCT
cana-620	42	39	and	and	CCONJ
cana-620	42	40	easy	easy	ADJ
cana-620	42	41	to	to	PART
cana-620	42	42	slip	slip	VERB
cana-620	42	43	into	into	ADP
cana-620	42	44	local	local	ADJ
cana-620	42	45	optimum	optimum	ADJ
cana-620	42	46	solutions	solution	NOUN
cana-620	42	47	.	.	PUNCT
cana-620	43	1	to	to	PART
cana-620	43	2	forecast	forecast	VERB
cana-620	43	3	how	how	SCONJ
cana-620	43	4	much	much	ADJ
cana-620	43	5	power	power	NOUN
cana-620	43	6	residents	resident	NOUN
cana-620	43	7	will	will	AUX
cana-620	43	8	use	use	VERB
cana-620	43	9	,	,	PUNCT
cana-620	43	10	du	du	PROPN
cana-620	43	11	et	et	PROPN
cana-620	43	12	al	al	PROPN
cana-620	43	13	.	.	PUNCT
cana-620	44	1	[	[	X
cana-620	44	2	7	7	X
cana-620	44	3	]	]	PUNCT
cana-620	44	4	used	use	VERB
cana-620	44	5	the	the	DET
cana-620	44	6	grey	grey	ADJ
cana-620	44	7	seasonal	seasonal	ADJ
cana-620	44	8	variation	variation	NOUN
cana-620	44	9	index	index	NOUN
cana-620	44	10	model	model	NOUN
cana-620	44	11	and	and	CCONJ
cana-620	44	12	the	the	DET
cana-620	44	13	modified	modify	VERB
cana-620	44	14	whale	whale	NOUN
cana-620	44	15	optimisation	optimisation	NOUN
cana-620	44	16	method	method	NOUN
cana-620	44	17	.	.	PUNCT
cana-620	45	1	the	the	DET
cana-620	45	2	starting	starting	NOUN
cana-620	45	3	value	value	NOUN
cana-620	45	4	and	and	CCONJ
cana-620	45	5	parameter	parameter	NOUN
cana-620	45	6	optimisation	optimisation	NOUN
cana-620	45	7	of	of	ADP
cana-620	45	8	the	the	DET
cana-620	45	9	gm	gm	PROPN
cana-620	45	10	(	(	PUNCT
cana-620	45	11	1,1	1,1	NUM
cana-620	45	12	)	)	PUNCT
cana-620	45	13	model	model	NOUN
cana-620	45	14	is	be	AUX
cana-620	45	15	still	still	ADV
cana-620	45	16	an	an	DET
cana-620	45	17	issue	issue	NOUN
cana-620	45	18	worth	worth	ADJ
cana-620	45	19	researching	research	VERB
cana-620	45	20	,	,	PUNCT
cana-620	45	21	according	accord	VERB
cana-620	45	22	to	to	ADP
cana-620	45	23	the	the	DET
cana-620	45	24	aforementioned	aforementioned	ADJ
cana-620	45	25	literature	literature	NOUN
cana-620	45	26	evaluation	evaluation	NOUN
cana-620	45	27	.	.	PUNCT
cana-620	46	1	it	it	PRON
cana-620	46	2	would	would	AUX
cana-620	46	3	be	be	AUX
cana-620	46	4	worthwhile	worthwhile	ADJ
cana-620	46	5	to	to	PART
cana-620	46	6	do	do	VERB
cana-620	46	7	study	study	VERB
cana-620	46	8	in	in	ADP
cana-620	46	9	the	the	DET
cana-620	46	10	area	area	NOUN
cana-620	46	11	of	of	ADP
cana-620	46	12	intelligent	intelligent	ADJ
cana-620	46	13	algorithm	algorithm	NOUN
cana-620	46	14	optimisation	optimisation	NOUN
cana-620	46	15	of	of	ADP
cana-620	46	16	the	the	DET
cana-620	46	17	gm	gm	PROPN
cana-620	46	18	(	(	PUNCT
cana-620	46	19	1,1	1,1	NUM
cana-620	46	20	)	)	PUNCT
cana-620	46	21	model	model	NOUN
cana-620	46	22	's	's	PART
cana-620	46	23	starting	starting	NOUN
cana-620	46	24	value	value	NOUN
cana-620	46	25	and	and	CCONJ
cana-620	46	26	model	model	NOUN
cana-620	46	27	parameters	parameter	NOUN
cana-620	46	28	.	.	PUNCT
cana-620	47	1	this	this	DET
cana-620	47	2	work	work	NOUN
cana-620	47	3	suggests	suggest	VERB
cana-620	47	4	the	the	DET
cana-620	47	5	gm	gm	PROPN
cana-620	47	6	(	(	PUNCT
cana-620	47	7	1,1	1,1	NUM
cana-620	47	8	)	)	PUNCT
cana-620	47	9	model	model	NOUN
cana-620	47	10	optimized	optimize	VERB
cana-620	47	11	using	use	VERB
cana-620	47	12	the	the	DET
cana-620	47	13	moth	moth	NOUN
cana-620	47	14	flame	flame	NOUN
cana-620	47	15	optimisation	optimisation	NOUN
cana-620	47	16	technique	technique	NOUN
cana-620	47	17	to	to	PART
cana-620	47	18	minimize	minimize	VERB
cana-620	47	19	the	the	DET
cana-620	47	20	fitting	fitting	ADJ
cana-620	47	21	error	error	NOUN
cana-620	47	22	of	of	ADP
cana-620	47	23	the	the	DET
cana-620	47	24	gm	gm	PROPN
cana-620	47	25	(	(	PUNCT
cana-620	47	26	1,1	1,1	NUM
cana-620	47	27	)	)	PUNCT
cana-620	47	28	model	model	NOUN
cana-620	47	29	based	base	VERB
cana-620	47	30	on	on	ADP
cana-620	47	31	the	the	DET
cana-620	47	32	examination	examination	NOUN
cana-620	47	33	of	of	ADP
cana-620	47	34	the	the	DET
cana-620	47	35	fitting	fitting	ADJ
cana-620	47	36	error	error	NOUN
cana-620	47	37	problem	problem	NOUN
cana-620	47	38	present	present	ADJ
cana-620	47	39	in	in	ADP
cana-620	47	40	the	the	DET
cana-620	47	41	gm	gm	PROPN
cana-620	47	42	(	(	PUNCT
cana-620	47	43	1,1	1,1	NUM
cana-620	47	44	)	)	PUNCT
cana-620	47	45	model	model	NOUN
cana-620	47	46	.	.	PUNCT
cana-620	48	1	to	to	PART
cana-620	48	2	solve	solve	VERB
cana-620	48	3	the	the	DET
cana-620	48	4	optimisation	optimisation	NOUN
cana-620	48	5	issue	issue	NOUN
cana-620	48	6	of	of	ADP
cana-620	48	7	the	the	DET
cana-620	48	8	power	power	NOUN
cana-620	48	9	exponent	exponent	NOUN
cana-620	48	10	and	and	CCONJ
cana-620	48	11	initial	initial	ADJ
cana-620	48	12	condition	condition	NOUN
cana-620	48	13	of	of	ADP
cana-620	48	14	the	the	DET
cana-620	48	15	gm	gm	PROPN
cana-620	48	16	(	(	PUNCT
cana-620	48	17	1,1	1,1	NUM
cana-620	48	18	)	)	PUNCT
cana-620	48	19	power	power	NOUN
cana-620	48	20	model	model	NOUN
cana-620	48	21	,	,	PUNCT
cana-620	48	22	guo	guo	PROPN
cana-620	48	23	et	et	PROPN
cana-620	48	24	al	al	PROPN
cana-620	48	25	.	.	PROPN
cana-620	48	26	's	's	PART
cana-620	48	27	collaborative	collaborative	ADJ
cana-620	48	28	initial	initial	ADJ
cana-620	48	29	condition	condition	NOUN
cana-620	48	30	and	and	CCONJ
cana-620	48	31	power	power	NOUN
cana-620	48	32	exponent	exponent	NOUN
cana-620	48	33	optimisation	optimisation	NOUN
cana-620	48	34	strategy	strategy	NOUN
cana-620	48	35	was	be	AUX
cana-620	48	36	proposed	propose	VERB
cana-620	48	37	.	.	PUNCT
cana-620	49	1	the	the	DET
cana-620	49	2	suggested	suggest	VERB
cana-620	49	3	method	method	NOUN
cana-620	49	4	's	's	PART
cana-620	49	5	accuracy	accuracy	NOUN
cana-620	49	6	was	be	AUX
cana-620	49	7	better	well	ADJ
cana-620	49	8	than	than	ADP
cana-620	49	9	the	the	DET
cana-620	49	10	comparative	comparative	ADJ
cana-620	49	11	model	model	NOUN
cana-620	49	12	's	's	PART
cana-620	49	13	.	.	PUNCT
cana-620	50	1	the	the	DET
cana-620	50	2	traditional	traditional	ADJ
cana-620	50	3	gm	gm	PROPN
cana-620	50	4	(	(	PUNCT
cana-620	50	5	1,1	1,1	NUM
cana-620	50	6	)	)	PUNCT
cana-620	50	7	model	model	NOUN
cana-620	50	8	estimates	estimate	VERB
cana-620	50	9	parameters	parameter	NOUN
cana-620	50	10	using	use	VERB
cana-620	50	11	the	the	DET
cana-620	50	12	least	least	ADJ
cana-620	50	13	squares	square	NOUN
cana-620	50	14	criterion	criterion	NOUN
cana-620	50	15	;	;	PUNCT
cana-620	50	16	additionally	additionally	ADV
cana-620	50	17	,	,	PUNCT
cana-620	50	18	there	there	PRON
cana-620	50	19	are	be	VERB
cana-620	50	20	the	the	DET
cana-620	50	21	minimum	minimum	ADJ
cana-620	50	22	and	and	CCONJ
cana-620	50	23	maximum	maximum	ADJ
cana-620	50	24	criterion	criterion	NOUN
cana-620	50	25	,	,	PUNCT
cana-620	50	26	the	the	DET
cana-620	50	27	minimum	minimum	ADJ
cana-620	50	28	and	and	CCONJ
cana-620	50	29	maximum	maximum	ADJ
cana-620	50	30	relative	relative	ADJ
cana-620	50	31	error	error	NOUN
cana-620	50	32	reaches	reach	VERB
cana-620	50	33	the	the	DET
cana-620	50	34	minimum	minimum	ADJ
cana-620	50	35	criterion	criterion	NOUN
cana-620	50	36	,	,	PUNCT
cana-620	50	37	the	the	DET
cana-620	50	38	relative	relative	ADJ
cana-620	50	39	average	average	ADJ
cana-620	50	40	error	error	NOUN
cana-620	50	41	reaches	reach	VERB
cana-620	50	42	the	the	DET
cana-620	50	43	minimum	minimum	ADJ
cana-620	50	44	criterion	criterion	NOUN
cana-620	50	45	,	,	PUNCT
cana-620	50	46	and	and	CCONJ
cana-620	50	47	so	so	ADV
cana-620	50	48	forth	forth	ADV
cana-620	50	49	.	.	PUNCT
cana-620	51	1	mei	mei	PROPN
cana-620	51	2	and	and	CCONJ
cana-620	51	3	co.	co.	PROPN
cana-620	52	1	[	[	X
cana-620	52	2	9	9	NUM
cana-620	52	3	]	]	SYM
cana-620	52	4	elm	elm	NOUN
cana-620	52	5	,	,	PUNCT
cana-620	52	6	however	however	ADV
cana-620	52	7	,	,	PUNCT
cana-620	52	8	has	have	VERB
cana-620	52	9	the	the	DET
cana-620	52	10	following	follow	VERB
cana-620	52	11	drawbacks	drawback	NOUN
cana-620	52	12	.	.	PUNCT
cana-620	53	1	1	1	X
cana-620	53	2	)	)	PUNCT
cana-620	53	3	a	a	DET
cana-620	53	4	lack	lack	NOUN
cana-620	53	5	of	of	ADP
cana-620	53	6	steadiness	steadiness	NOUN
cana-620	53	7	.	.	PUNCT
cana-620	54	1	the	the	DET
cana-620	54	2	algorithm	algorithm	NOUN
cana-620	54	3	learns	learn	VERB
cana-620	54	4	much	much	ADV
cana-620	54	5	more	more	ADV
cana-620	54	6	quickly	quickly	ADV
cana-620	54	7	when	when	SCONJ
cana-620	54	8	the	the	DET
cana-620	54	9	calculated	calculate	VERB
cana-620	54	10	output	output	NOUN
cana-620	54	11	weight	weight	NOUN
cana-620	54	12	directly	directly	ADV
cana-620	54	13	using	use	VERB
cana-620	54	14	the	the	DET
cana-620	54	15	least	least	ADJ
cana-620	54	16	squares	square	NOUN
cana-620	54	17	approach	approach	NOUN
cana-620	54	18	,	,	PUNCT
cana-620	54	19	but	but	CCONJ
cana-620	54	20	because	because	SCONJ
cana-620	54	21	the	the	DET
cana-620	54	22	input	input	NOUN
cana-620	54	23	weight	weight	NOUN
cana-620	54	24	and	and	CCONJ
cana-620	54	25	hidden	hide	VERB
cana-620	54	26	layer	layer	NOUN
cana-620	54	27	threshold	threshold	NOUN
cana-620	54	28	are	be	AUX
cana-620	54	29	determined	determine	VERB
cana-620	54	30	at	at	ADP
cana-620	54	31	random	random	ADJ
cana-620	54	32	,	,	PUNCT
cana-620	54	33	they	they	PRON
cana-620	54	34	can	can	AUX
cana-620	54	35	not	not	PART
cana-620	54	36	be	be	AUX
cana-620	54	37	changed	change	VERB
cana-620	54	38	to	to	PART
cana-620	54	39	better	well	ADV
cana-620	54	40	match	match	VERB
cana-620	54	41	the	the	DET
cana-620	54	42	real	real	ADJ
cana-620	54	43	data	datum	NOUN
cana-620	54	44	.	.	PUNCT
cana-620	55	1	2	2	X
cana-620	55	2	)	)	PUNCT
cana-620	55	3	there	there	PRON
cana-620	55	4	is	be	VERB
cana-620	55	5	weak	weak	ADJ
cana-620	55	6	robustness	robustness	NOUN
cana-620	55	7	.	.	PUNCT
cana-620	56	1	the	the	DET
cana-620	56	2	error	error	NOUN
cana-620	56	3	's	's	PART
cana-620	56	4	weight	weight	NOUN
cana-620	56	5	is	be	AUX
cana-620	56	6	not	not	PART
cana-620	56	7	taken	take	VERB
cana-620	56	8	into	into	ADP
cana-620	56	9	account	account	NOUN
cana-620	56	10	.	.	PUNCT
cana-620	57	1	the	the	DET
cana-620	57	2	model	model	NOUN
cana-620	57	3	's	's	PART
cana-620	57	4	performance	performance	NOUN
cana-620	57	5	may	may	AUX
cana-620	57	6	be	be	AUX
cana-620	57	7	significantly	significantly	ADV
cana-620	57	8	impacted	impact	VERB
cana-620	57	9	when	when	SCONJ
cana-620	57	10	the	the	DET
cana-620	57	11	data	datum	NOUN
cana-620	57	12	set	set	VERB
cana-620	57	13	contains	contain	VERB
cana-620	57	14	outliers	outlier	NOUN
cana-620	57	15	or	or	CCONJ
cana-620	57	16	isolated	isolated	ADJ
cana-620	57	17	points	point	NOUN
cana-620	57	18	.	.	PUNCT
cana-620	58	1	3	3	X
cana-620	58	2	.	.	X
cana-620	59	1	it	it	PRON
cana-620	59	2	's	be	AUX
cana-620	59	3	simple	simple	ADJ
cana-620	59	4	to	to	ADP
cana-620	59	5	overfit	overfit	NOUN
cana-620	59	6	.	.	PUNCT
cana-620	60	1	only	only	ADV
cana-620	60	2	take	take	VERB
cana-620	60	3	into	into	ADP
cana-620	60	4	account	account	NOUN
cana-620	60	5	empirical	empirical	ADJ
cana-620	60	6	risk	risk	NOUN
cana-620	60	7	;	;	PUNCT
cana-620	60	8	disregard	disregard	ADJ
cana-620	60	9	structural	structural	ADJ
cana-620	60	10	risk	risk	NOUN
cana-620	60	11	.	.	PUNCT
cana-620	61	1	shi	shi	PROPN
cana-620	62	1	[	[	X
cana-620	62	2	11	11	NUM
cana-620	62	3	]	]	PUNCT
cana-620	62	4	aiming	aim	VERB
cana-620	62	5	at	at	ADP
cana-620	62	6	the	the	DET
cana-620	62	7	problem	problem	NOUN
cana-620	62	8	of	of	ADP
cana-620	62	9	asymmetric	asymmetric	ADJ
cana-620	62	10	computing	compute	VERB
cana-620	62	11	resource	resource	NOUN
cana-620	62	12	asymmetry	asymmetry	NOUN
cana-620	62	13	in	in	ADP
cana-620	62	14	threat	threat	NOUN
cana-620	62	15	perception	perception	NOUN
cana-620	62	16	of	of	ADP
cana-620	62	17	intelligent	intelligent	ADJ
cana-620	62	18	vehicle	vehicle	NOUN
cana-620	62	19	networking	networking	NOUN
cana-620	62	20	,	,	PUNCT
cana-620	62	21	a	a	DET
cana-620	62	22	low	low	ADJ
cana-620	62	23	-	-	PUNCT
cana-620	62	24	latency	latency	NOUN
cana-620	62	25	threat	threat	NOUN
cana-620	62	26	perception	perception	NOUN
cana-620	62	27	mechanism	mechanism	NOUN
cana-620	62	28	based	base	VERB
cana-620	62	29	on	on	ADP
cana-620	62	30	vehicle	vehicle	NOUN
cana-620	62	31	edge	edge	NOUN
cana-620	62	32	computing	computing	NOUN
cana-620	62	33	is	be	AUX
cana-620	62	34	proposed	propose	VERB
cana-620	62	35	,	,	PUNCT
cana-620	62	36	and	and	CCONJ
cana-620	62	37	the	the	DET
cana-620	62	38	collaborative	collaborative	ADJ
cana-620	62	39	computing	computing	NOUN
cana-620	62	40	of	of	ADP
cana-620	62	41	surrounding	surround	VERB
cana-620	62	42	trusted	trusted	ADJ
cana-620	62	43	vehicles	vehicle	NOUN
cana-620	62	44	is	be	AUX
cana-620	62	45	used	use	VERB
cana-620	62	46	to	to	PART
cana-620	62	47	make	make	VERB
cana-620	62	48	threat	threat	NOUN
cana-620	62	49	-	-	PUNCT
cana-620	62	50	aware	aware	ADJ
cana-620	62	51	intelligent	intelligent	ADJ
cana-620	62	52	decisionmaking	decisionmaking	NOUN
cana-620	62	53	,	,	PUNCT
cana-620	62	54	so	so	SCONJ
cana-620	62	55	as	as	SCONJ
cana-620	62	56	to	to	PART
cana-620	62	57	solve	solve	VERB
cana-620	62	58	the	the	DET
cana-620	62	59	problem	problem	NOUN
cana-620	62	60	of	of	ADP
cana-620	62	61	insufficient	insufficient	ADJ
cana-620	62	62	local	local	ADJ
cana-620	62	63	computing	compute	VERB
cana-620	62	64	resources	resource	NOUN
cana-620	62	65	and	and	CCONJ
cana-620	62	66	cloud	cloud	NOUN
cana-620	62	67	communications	communication	NOUN
cana-620	62	68	on	on	ADP
cana-620	62	69	applied	apply	VERB
cana-620	62	70	nonlinear	nonlinear	ADJ
cana-620	62	71	analysis	analysis	NOUN
cana-620	62	72	issn	issn	NOUN
cana-620	62	73	:	:	PUNCT
cana-620	62	74	1074	1074	NUM
cana-620	62	75	-	-	PUNCT
cana-620	62	76	133x	133x	NUM
cana-620	62	77	vol	vol	NOUN
cana-620	62	78	31	31	NUM
cana-620	62	79	no	no	NOUN
cana-620	62	80	.	.	PUNCT
cana-620	63	1	2s	2s	NUM
cana-620	63	2	(	(	PUNCT
cana-620	63	3	2024	2024	NUM
cana-620	63	4	)	)	PUNCT
cana-620	63	5	188	188	NUM
cana-620	63	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	63	7	computing	computing	NOUN
cana-620	63	8	delay	delay	NOUN
cana-620	63	9	and	and	CCONJ
cana-620	63	10	higher	high	ADJ
cana-620	63	11	difficulty	difficulty	NOUN
cana-620	63	12	.	.	PUNCT
cana-620	64	1	han	han	PROPN
cana-620	64	2	and	and	CCONJ
cana-620	64	3	li	li	PROPN
cana-620	65	1	[	[	X
cana-620	65	2	12	12	NUM
cana-620	65	3	]	]	PUNCT
cana-620	65	4	in	in	ADP
cana-620	65	5	addition	addition	NOUN
cana-620	65	6	,	,	PUNCT
cana-620	65	7	the	the	DET
cana-620	65	8	way	way	NOUN
cana-620	65	9	of	of	ADP
cana-620	65	10	exchanging	exchange	VERB
cana-620	65	11	intrusion	intrusion	NOUN
cana-620	65	12	samples	sample	NOUN
cana-620	65	13	through	through	ADP
cana-620	65	14	point	point	NOUN
cana-620	65	15	-	-	PUNCT
cana-620	65	16	to	to	ADP
cana-620	65	17	-	-	PUNCT
cana-620	65	18	point	point	NOUN
cana-620	65	19	communication	communication	NOUN
cana-620	65	20	mode	mode	NOUN
cana-620	65	21	in	in	ADP
cana-620	65	22	the	the	DET
cana-620	65	23	community	community	NOUN
cana-620	65	24	is	be	AUX
cana-620	65	25	too	too	ADV
cana-620	65	26	slow	slow	ADJ
cana-620	65	27	,	,	PUNCT
cana-620	65	28	and	and	CCONJ
cana-620	65	29	the	the	DET
cana-620	65	30	intrusion	intrusion	NOUN
cana-620	65	31	detection	detection	NOUN
cana-620	65	32	scheme	scheme	NOUN
cana-620	65	33	centered	center	VERB
cana-620	65	34	on	on	ADP
cana-620	65	35	the	the	DET
cana-620	65	36	cooperation	cooperation	NOUN
cana-620	65	37	between	between	ADP
cana-620	65	38	nodes	node	NOUN
cana-620	65	39	of	of	ADP
cana-620	65	40	the	the	DET
cana-620	65	41	internet	internet	NOUN
cana-620	65	42	of	of	ADP
cana-620	65	43	things	thing	NOUN
cana-620	65	44	is	be	AUX
cana-620	65	45	difficult	difficult	ADJ
cana-620	65	46	to	to	PART
cana-620	65	47	deal	deal	VERB
cana-620	65	48	with	with	ADP
cana-620	65	49	the	the	DET
cana-620	65	50	massive	massive	ADJ
cana-620	65	51	potential	potential	ADJ
cana-620	65	52	threats	threat	NOUN
cana-620	65	53	in	in	ADP
cana-620	65	54	the	the	DET
cana-620	65	55	internet	internet	NOUN
cana-620	65	56	of	of	ADP
cana-620	65	57	things	thing	NOUN
cana-620	65	58	.	.	PUNCT
cana-620	66	1	researchers	researcher	NOUN
cana-620	66	2	have	have	AUX
cana-620	66	3	turned	turn	VERB
cana-620	66	4	their	their	PRON
cana-620	66	5	attention	attention	NOUN
cana-620	66	6	to	to	ADP
cana-620	66	7	cloud	cloud	NOUN
cana-620	66	8	computing	computing	NOUN
cana-620	66	9	technology	technology	NOUN
cana-620	66	10	with	with	ADP
cana-620	66	11	massive	massive	ADJ
cana-620	66	12	data	datum	NOUN
cana-620	66	13	processing	processing	NOUN
cana-620	66	14	capabilities	capability	NOUN
cana-620	66	15	.	.	PUNCT
cana-620	67	1	using	use	VERB
cana-620	67	2	cloud	cloud	NOUN
cana-620	67	3	computing	computing	NOUN
cana-620	67	4	,	,	PUNCT
cana-620	67	5	the	the	DET
cana-620	67	6	samples	sample	NOUN
cana-620	67	7	in	in	ADP
cana-620	67	8	each	each	DET
cana-620	67	9	iot	iot	NOUN
cana-620	67	10	device	device	NOUN
cana-620	67	11	can	can	AUX
cana-620	67	12	be	be	AUX
cana-620	67	13	uploaded	upload	VERB
cana-620	67	14	to	to	ADP
cana-620	67	15	the	the	DET
cana-620	67	16	cloud	cloud	ADJ
cana-620	67	17	center	center	NOUN
cana-620	67	18	,	,	PUNCT
cana-620	67	19	and	and	CCONJ
cana-620	67	20	the	the	DET
cana-620	67	21	powerful	powerful	ADJ
cana-620	67	22	computing	compute	VERB
cana-620	67	23	power	power	NOUN
cana-620	67	24	of	of	ADP
cana-620	67	25	the	the	DET
cana-620	67	26	cloud	cloud	ADJ
cana-620	67	27	center	center	NOUN
cana-620	67	28	combined	combine	VERB
cana-620	67	29	with	with	ADP
cana-620	67	30	machine	machine	NOUN
cana-620	67	31	learning	learning	NOUN
cana-620	67	32	technology	technology	NOUN
cana-620	67	33	is	be	AUX
cana-620	67	34	used	use	VERB
cana-620	67	35	to	to	PART
cana-620	67	36	build	build	VERB
cana-620	67	37	a	a	DET
cana-620	67	38	machine	machine	NOUN
cana-620	67	39	learning	learn	VERB
cana-620	67	40	model	model	NOUN
cana-620	67	41	.	.	PUNCT
cana-620	68	1	zhang	zhang	PROPN
cana-620	68	2	et	et	PROPN
cana-620	68	3	al	al	PROPN
cana-620	69	1	[	[	X
cana-620	69	2	13	13	NUM
cana-620	69	3	]	]	PUNCT
cana-620	69	4	proposes	propose	VERB
cana-620	69	5	a	a	DET
cana-620	69	6	threat	threat	NOUN
cana-620	69	7	perception	perception	NOUN
cana-620	69	8	model	model	NOUN
cana-620	69	9	that	that	PRON
cana-620	69	10	can	can	AUX
cana-620	69	11	perceive	perceive	VERB
cana-620	69	12	replay	replay	NOUN
cana-620	69	13	attacks	attack	NOUN
cana-620	69	14	and	and	CCONJ
cana-620	69	15	fuzzy	fuzzy	ADJ
cana-620	69	16	attacks	attack	NOUN
cana-620	69	17	.	.	PUNCT
cana-620	70	1	this	this	DET
cana-620	70	2	model	model	NOUN
cana-620	70	3	uses	use	VERB
cana-620	70	4	bloom	bloom	NOUN
cana-620	70	5	filters	filter	NOUN
cana-620	70	6	to	to	PART
cana-620	70	7	save	save	VERB
cana-620	70	8	storage	storage	NOUN
cana-620	70	9	resources	resource	NOUN
cana-620	70	10	required	require	VERB
cana-620	70	11	for	for	ADP
cana-620	70	12	threat	threat	NOUN
cana-620	70	13	perception	perception	NOUN
cana-620	70	14	.	.	PUNCT
cana-620	71	1	however	however	ADV
cana-620	71	2	,	,	PUNCT
cana-620	71	3	the	the	DET
cana-620	71	4	acquisition	acquisition	NOUN
cana-620	71	5	of	of	ADP
cana-620	71	6	intrusion	intrusion	NOUN
cana-620	71	7	detection	detection	NOUN
cana-620	71	8	samples	sample	NOUN
cana-620	71	9	centered	center	VERB
cana-620	71	10	on	on	ADP
cana-620	71	11	iot	iot	PROPN
cana-620	71	12	devices	device	NOUN
cana-620	71	13	has	have	VERB
cana-620	71	14	strong	strong	ADJ
cana-620	71	15	limitations	limitation	NOUN
cana-620	71	16	,	,	PUNCT
cana-620	71	17	and	and	CCONJ
cana-620	71	18	it	it	PRON
cana-620	71	19	is	be	AUX
cana-620	71	20	difficult	difficult	ADJ
cana-620	71	21	to	to	PART
cana-620	71	22	deal	deal	VERB
cana-620	71	23	with	with	ADP
cana-620	71	24	the	the	DET
cana-620	71	25	ubiquitous	ubiquitous	ADJ
cana-620	71	26	and	and	CCONJ
cana-620	71	27	complex	complex	ADJ
cana-620	71	28	threats	threat	NOUN
cana-620	71	29	of	of	ADP
cana-620	71	30	iot	iot	NOUN
cana-620	71	31	.	.	PUNCT
cana-620	72	1	zhang	zhang	PROPN
cana-620	72	2	et	et	PROPN
cana-620	72	3	al	al	PROPN
cana-620	73	1	[	[	X
cana-620	73	2	14	14	NUM
cana-620	73	3	]	]	PUNCT
cana-620	73	4	proposed	propose	VERB
cana-620	73	5	an	an	DET
cana-620	73	6	in	in	ADP
cana-620	73	7	-	-	PUNCT
cana-620	73	8	vehicle	vehicle	NOUN
cana-620	73	9	can	can	AUX
cana-620	73	10	network	network	NOUN
cana-620	73	11	based	base	VERB
cana-620	73	12	on	on	ADP
cana-620	73	13	a	a	DET
cana-620	73	14	circular	circular	ADJ
cana-620	73	15	convolutional	convolutional	ADJ
cana-620	73	16	neural	neural	ADJ
cana-620	73	17	network	network	NOUN
cana-620	73	18	.	.	PUNCT
cana-620	74	1	the	the	DET
cana-620	74	2	intrusion	intrusion	NOUN
cana-620	74	3	detection	detection	NOUN
cana-620	74	4	mechanism	mechanism	NOUN
cana-620	74	5	of	of	ADP
cana-620	74	6	the	the	DET
cana-620	74	7	bus	bus	NOUN
cana-620	74	8	improves	improve	VERB
cana-620	74	9	the	the	DET
cana-620	74	10	coordination	coordination	NOUN
cana-620	74	11	security	security	NOUN
cana-620	74	12	of	of	ADP
cana-620	74	13	the	the	DET
cana-620	74	14	electronic	electronic	ADJ
cana-620	74	15	control	control	NOUN
cana-620	74	16	units	unit	NOUN
cana-620	74	17	in	in	ADP
cana-620	74	18	the	the	DET
cana-620	74	19	car	car	NOUN
cana-620	74	20	.	.	PUNCT
cana-620	75	1	zhao	zhao	X
cana-620	76	1	[	[	X
cana-620	76	2	15	15	NUM
cana-620	76	3	]	]	PUNCT
cana-620	76	4	proposed	propose	VERB
cana-620	76	5	the	the	DET
cana-620	76	6	edge	edge	NOUN
cana-620	76	7	device	device	NOUN
cana-620	76	8	is	be	AUX
cana-620	76	9	responsible	responsible	ADJ
cana-620	76	10	for	for	ADP
cana-620	76	11	collecting	collect	VERB
cana-620	76	12	intrusion	intrusion	NOUN
cana-620	76	13	samples	sample	NOUN
cana-620	76	14	from	from	ADP
cana-620	76	15	the	the	DET
cana-620	76	16	internet	internet	NOUN
cana-620	76	17	of	of	ADP
cana-620	76	18	things	thing	NOUN
cana-620	76	19	devices	device	NOUN
cana-620	76	20	,	,	PUNCT
cana-620	76	21	and	and	CCONJ
cana-620	76	22	configures	configure	VERB
cana-620	76	23	different	different	ADJ
cana-620	76	24	intrusion	intrusion	NOUN
cana-620	76	25	sample	sample	NOUN
cana-620	76	26	distribution	distribution	NOUN
cana-620	76	27	strategies	strategy	NOUN
cana-620	76	28	for	for	ADP
cana-620	76	29	different	different	ADJ
cana-620	76	30	intrusion	intrusion	NOUN
cana-620	76	31	detection	detection	NOUN
cana-620	76	32	servers	server	NOUN
cana-620	76	33	according	accord	VERB
cana-620	76	34	to	to	ADP
cana-620	76	35	the	the	DET
cana-620	76	36	pricing	pricing	NOUN
cana-620	76	37	of	of	ADP
cana-620	76	38	intrusion	intrusion	NOUN
cana-620	76	39	detection	detection	NOUN
cana-620	76	40	servers	server	NOUN
cana-620	76	41	.	.	PUNCT
cana-620	77	1	secondly	secondly	ADV
cana-620	77	2	,	,	PUNCT
cana-620	77	3	in	in	ADP
cana-620	77	4	the	the	DET
cana-620	77	5	proposed	propose	VERB
cana-620	77	6	iot	iot	NOUN
cana-620	77	7	distributed	distribute	VERB
cana-620	77	8	intrusion	intrusion	NOUN
cana-620	77	9	detection	detection	NOUN
cana-620	77	10	system	system	NOUN
cana-620	77	11	model	model	NOUN
cana-620	77	12	,	,	PUNCT
cana-620	77	13	the	the	DET
cana-620	77	14	intrusion	intrusion	NOUN
cana-620	77	15	detection	detection	NOUN
cana-620	77	16	server	server	NOUN
cana-620	77	17	is	be	AUX
cana-620	77	18	responsible	responsible	ADJ
cana-620	77	19	for	for	ADP
cana-620	77	20	intrusion	intrusion	NOUN
cana-620	77	21	detection	detection	NOUN
cana-620	77	22	model	model	NOUN
cana-620	77	23	aggregation	aggregation	NOUN
cana-620	77	24	,	,	PUNCT
cana-620	77	25	intrusion	intrusion	NOUN
cana-620	77	26	sample	sample	NOUN
cana-620	77	27	pricing	pricing	NOUN
cana-620	77	28	,	,	PUNCT
cana-620	77	29	intrusion	intrusion	NOUN
cana-620	77	30	detection	detection	NOUN
cana-620	77	31	model	model	NOUN
cana-620	77	32	management	management	NOUN
cana-620	77	33	,	,	PUNCT
cana-620	77	34	and	and	CCONJ
cana-620	77	35	intrusion	intrusion	NOUN
cana-620	77	36	detection	detection	NOUN
cana-620	77	37	model	model	NOUN
cana-620	77	38	distribution	distribution	NOUN
cana-620	77	39	.	.	PUNCT
cana-620	78	1	intrusion	intrusion	NOUN
cana-620	78	2	detection	detection	NOUN
cana-620	78	3	servers	server	NOUN
cana-620	78	4	can	can	AUX
cana-620	78	5	measure	measure	VERB
cana-620	78	6	the	the	DET
cana-620	78	7	value	value	NOUN
cana-620	78	8	of	of	ADP
cana-620	78	9	different	different	ADJ
cana-620	78	10	machine	machine	NOUN
cana-620	78	11	learning	learn	VERB
cana-620	78	12	datasets	dataset	NOUN
cana-620	78	13	by	by	ADP
cana-620	78	14	pricing	pricing	NOUN
cana-620	78	15	intrusion	intrusion	NOUN
cana-620	78	16	samples	sample	NOUN
cana-620	78	17	.	.	PUNCT
cana-620	79	1	[	[	X
cana-620	79	2	16	16	NUM
cana-620	79	3	]	]	PUNCT
cana-620	79	4	swarm	swarm	NOUN
cana-620	79	5	intelligence	intelligence	NOUN
cana-620	79	6	optimisation	optimisation	NOUN
cana-620	79	7	techniques	technique	NOUN
cana-620	79	8	,	,	PUNCT
cana-620	79	9	which	which	PRON
cana-620	79	10	draw	draw	VERB
cana-620	79	11	their	their	PRON
cana-620	79	12	inspiration	inspiration	NOUN
cana-620	79	13	from	from	ADP
cana-620	79	14	biological	biological	ADJ
cana-620	79	15	systems	system	NOUN
cana-620	79	16	,	,	PUNCT
cana-620	79	17	have	have	AUX
cana-620	79	18	been	be	AUX
cana-620	79	19	in	in	ADP
cana-620	79	20	use	use	NOUN
cana-620	79	21	since	since	SCONJ
cana-620	79	22	the	the	DET
cana-620	79	23	1940s	1940	NOUN
cana-620	79	24	.	.	PUNCT
cana-620	80	1	a	a	DET
cana-620	80	2	random	random	ADJ
cana-620	80	3	search	search	NOUN
cana-620	80	4	optimisation	optimisation	NOUN
cana-620	80	5	technique	technique	NOUN
cana-620	80	6	based	base	VERB
cana-620	80	7	on	on	ADP
cana-620	80	8	group	group	NOUN
cana-620	80	9	iteration	iteration	NOUN
cana-620	80	10	is	be	AUX
cana-620	80	11	called	call	VERB
cana-620	80	12	the	the	DET
cana-620	80	13	swarm	swarm	NOUN
cana-620	80	14	intelligence	intelligence	NOUN
cana-620	80	15	approach	approach	NOUN
cana-620	80	16	.	.	PUNCT
cana-620	81	1	it	it	PRON
cana-620	81	2	features	feature	VERB
cana-620	81	3	distributed	distribute	VERB
cana-620	81	4	search	search	NOUN
cana-620	81	5	capabilities	capability	NOUN
cana-620	81	6	as	as	ADV
cana-620	81	7	well	well	ADV
cana-620	81	8	as	as	ADP
cana-620	81	9	the	the	DET
cana-620	81	10	possibility	possibility	NOUN
cana-620	81	11	for	for	ADP
cana-620	81	12	parallelism	parallelism	NOUN
cana-620	81	13	.	.	PUNCT
cana-620	82	1	it	it	PRON
cana-620	82	2	has	have	VERB
cana-620	82	3	a	a	DET
cana-620	82	4	powerful	powerful	ADJ
cana-620	82	5	capacity	capacity	NOUN
cana-620	82	6	to	to	PART
cana-620	82	7	search	search	VERB
cana-620	82	8	globally	globally	ADV
cana-620	82	9	and	and	CCONJ
cana-620	82	10	can	can	AUX
cana-620	82	11	successfully	successfully	ADV
cana-620	82	12	avoid	avoid	VERB
cana-620	82	13	some	some	DET
cana-620	82	14	local	local	ADJ
cana-620	82	15	extremums	extremum	NOUN
cana-620	82	16	.	.	PUNCT
cana-620	83	1	in	in	ADP
cana-620	83	2	recent	recent	ADJ
cana-620	83	3	years	year	NOUN
cana-620	83	4	,	,	PUNCT
cana-620	83	5	it	it	PRON
cana-620	83	6	has	have	AUX
cana-620	83	7	developed	develop	VERB
cana-620	83	8	into	into	ADP
cana-620	83	9	a	a	DET
cana-620	83	10	hub	hub	NOUN
cana-620	83	11	for	for	ADP
cana-620	83	12	research	research	NOUN
cana-620	83	13	.	.	PUNCT
cana-620	84	1	the	the	DET
cana-620	84	2	bionic	bionic	ADJ
cana-620	84	3	objects	object	NOUN
cana-620	84	4	for	for	ADP
cana-620	84	5	swarm	swarm	NOUN
cana-620	84	6	intelligence	intelligence	NOUN
cana-620	84	7	optimization	optimization	NOUN
cana-620	84	8	mainly	mainly	ADV
cana-620	84	9	come	come	VERB
cana-620	84	10	from	from	ADP
cana-620	84	11	nature	nature	NOUN
cana-620	84	12	,	,	PUNCT
cana-620	84	13	such	such	ADJ
cana-620	84	14	as	as	ADP
cana-620	84	15	early	early	ADJ
cana-620	84	16	ant	ant	ADJ
cana-620	84	17	colonies	colony	NOUN
cana-620	84	18	,	,	PUNCT
cana-620	84	19	bird	bird	NOUN
cana-620	84	20	colonies	colony	NOUN
cana-620	84	21	,	,	PUNCT
cana-620	84	22	bee	bee	NOUN
cana-620	84	23	colonies	colony	NOUN
cana-620	84	24	,	,	PUNCT
cana-620	84	25	etc	etc	X
cana-620	84	26	.	.	X
cana-620	84	27	recently	recently	ADV
cana-620	84	28	,	,	PUNCT
cana-620	84	29	different	different	ADJ
cana-620	84	30	scholars	scholar	NOUN
cana-620	84	31	have	have	AUX
cana-620	84	32	proposed	propose	VERB
cana-620	84	33	many	many	ADJ
cana-620	84	34	new	new	ADJ
cana-620	84	35	approaches	approach	NOUN
cana-620	84	36	to	to	ADP
cana-620	84	37	optimisation	optimisation	NOUN
cana-620	84	38	.	.	PUNCT
cana-620	85	1	however	however	ADV
cana-620	85	2	,	,	PUNCT
cana-620	85	3	there	there	PRON
cana-620	85	4	are	be	VERB
cana-620	85	5	associated	associated	ADJ
cana-620	85	6	issues	issue	NOUN
cana-620	85	7	including	include	VERB
cana-620	85	8	limited	limited	ADJ
cana-620	85	9	convergence	convergence	NOUN
cana-620	85	10	accuracy	accuracy	NOUN
cana-620	85	11	,	,	PUNCT
cana-620	85	12	weak	weak	ADJ
cana-620	85	13	local	local	ADJ
cana-620	85	14	avoidance	avoidance	NOUN
cana-620	85	15	,	,	PUNCT
cana-620	85	16	and	and	CCONJ
cana-620	85	17	general	general	ADJ
cana-620	85	18	optimisation	optimisation	NOUN
cana-620	85	19	for	for	ADP
cana-620	85	20	large	large	ADJ
cana-620	85	21	-	-	PUNCT
cana-620	85	22	scale	scale	NOUN
cana-620	85	23	problems	problem	NOUN
cana-620	85	24	.	.	PUNCT
cana-620	86	1	numerical	numerical	ADJ
cana-620	86	2	tests	test	NOUN
cana-620	86	3	demonstrate	demonstrate	VERB
cana-620	86	4	that	that	SCONJ
cana-620	86	5	these	these	DET
cana-620	86	6	approaches	approach	NOUN
cana-620	86	7	are	be	AUX
cana-620	86	8	applicable	applicable	ADJ
cana-620	86	9	to	to	ADP
cana-620	86	10	some	some	DET
cana-620	86	11	situations	situation	NOUN
cana-620	86	12	.	.	PUNCT
cana-620	87	1	an	an	DET
cana-620	87	2	enhanced	enhanced	ADJ
cana-620	87	3	approach	approach	NOUN
cana-620	87	4	based	base	VERB
cana-620	87	5	on	on	ADP
cana-620	87	6	segmented	segment	VERB
cana-620	87	7	random	random	ADJ
cana-620	87	8	inertia	inertia	NOUN
cana-620	87	9	weights	weight	NOUN
cana-620	87	10	and	and	CCONJ
cana-620	87	11	an	an	DET
cana-620	87	12	ideal	ideal	ADJ
cana-620	87	13	feedback	feedback	NOUN
cana-620	87	14	mechanism	mechanism	NOUN
cana-620	87	15	was	be	AUX
cana-620	87	16	presented	present	VERB
cana-620	87	17	by	by	ADP
cana-620	87	18	liu	liu	PROPN
cana-620	87	19	et	et	PROPN
cana-620	87	20	al	al	PROPN
cana-620	87	21	.	.	PUNCT
cana-620	88	1	[	[	X
cana-620	88	2	17	17	NUM
cana-620	88	3	]	]	PUNCT
cana-620	88	4	.	.	PUNCT
cana-620	89	1	the	the	DET
cana-620	89	2	bubble	bubble	NOUN
cana-620	89	3	net	net	NOUN
cana-620	89	4	predation	predation	NOUN
cana-620	89	5	technique	technique	NOUN
cana-620	89	6	is	be	AUX
cana-620	89	7	extended	extend	VERB
cana-620	89	8	with	with	ADP
cana-620	89	9	the	the	DET
cana-620	89	10	contraction	contraction	NOUN
cana-620	89	11	encirclement	encirclement	NOUN
cana-620	89	12	strategy	strategy	NOUN
cana-620	89	13	and	and	CCONJ
cana-620	89	14	spiral	spiral	ADJ
cana-620	89	15	the	the	DET
cana-620	89	16	segmented	segment	VERB
cana-620	89	17	random	random	ADJ
cana-620	89	18	inertia	inertia	NOUN
cana-620	89	19	weight	weight	NOUN
cana-620	89	20	for	for	ADP
cana-620	89	21	the	the	DET
cana-620	89	22	purpose	purpose	NOUN
cana-620	89	23	of	of	ADP
cana-620	89	24	increasing	increase	VERB
cana-620	89	25	the	the	DET
cana-620	89	26	algorithm	algorithm	NOUN
cana-620	89	27	's	's	PART
cana-620	89	28	optimisation	optimisation	NOUN
cana-620	89	29	accuracy	accuracy	NOUN
cana-620	89	30	and	and	CCONJ
cana-620	89	31	ability	ability	NOUN
cana-620	89	32	to	to	PART
cana-620	89	33	depart	depart	VERB
cana-620	89	34	the	the	DET
cana-620	89	35	local	local	ADJ
cana-620	89	36	extremum	extremum	NOUN
cana-620	89	37	.	.	PUNCT
cana-620	90	1	the	the	DET
cana-620	90	2	random	random	ADJ
cana-620	90	3	walk	walk	NOUN
cana-620	90	4	strategy	strategy	NOUN
cana-620	90	5	's	's	PART
cana-620	90	6	present	present	ADJ
cana-620	90	7	global	global	ADJ
cana-620	90	8	optimum	optimum	ADJ
cana-620	90	9	solution	solution	NOUN
cana-620	90	10	serves	serve	VERB
cana-620	90	11	as	as	ADP
cana-620	90	12	the	the	DET
cana-620	90	13	foundation	foundation	NOUN
cana-620	90	14	for	for	ADP
cana-620	90	15	this	this	DET
cana-620	90	16	feedback	feedback	NOUN
cana-620	90	17	mechanism	mechanism	NOUN
cana-620	90	18	.	.	PUNCT
cana-620	91	1	by	by	ADP
cana-620	91	2	adding	add	VERB
cana-620	91	3	polynomial	polynomial	ADJ
cana-620	91	4	variation	variation	NOUN
cana-620	91	5	to	to	ADP
cana-620	91	6	the	the	DET
cana-620	91	7	inertia	inertia	NOUN
cana-620	91	8	weight	weight	NOUN
cana-620	91	9	of	of	ADP
cana-620	91	10	the	the	DET
cana-620	91	11	cosine	cosine	NOUN
cana-620	91	12	parameter	parameter	NOUN
cana-620	91	13	and	and	CCONJ
cana-620	91	14	the	the	DET
cana-620	91	15	ideal	ideal	ADJ
cana-620	91	16	whale	whale	NOUN
cana-620	91	17	position	position	NOUN
cana-620	91	18	,	,	PUNCT
cana-620	91	19	liu	liu	PROPN
cana-620	91	20	.	.	PUNCT
cana-620	92	1	[	[	X
cana-620	92	2	18	18	NUM
cana-620	92	3	]	]	PUNCT
cana-620	92	4	suggested	suggest	VERB
cana-620	92	5	an	an	DET
cana-620	92	6	improved	improved	ADJ
cana-620	92	7	approach	approach	NOUN
cana-620	92	8	based	base	VERB
cana-620	92	9	on	on	ADP
cana-620	92	10	the	the	DET
cana-620	92	11	polynomial	polynomial	ADJ
cana-620	92	12	variation	variation	NOUN
cana-620	92	13	and	and	CCONJ
cana-620	92	14	cosine	cosine	NOUN
cana-620	92	15	control	control	NOUN
cana-620	92	16	factor	factor	NOUN
cana-620	92	17	.	.	PUNCT
cana-620	93	1	to	to	PART
cana-620	93	2	initialize	initialize	VERB
cana-620	93	3	the	the	DET
cana-620	93	4	population	population	NOUN
cana-620	93	5	huang	huang	PROPN
cana-620	94	1	[	[	X
cana-620	94	2	19	19	NUM
cana-620	94	3	]	]	PUNCT
cana-620	94	4	combined	combine	VERB
cana-620	94	5	the	the	DET
cana-620	94	6	reverse	reverse	NOUN
cana-620	94	7	learning	learning	NOUN
cana-620	94	8	strategy	strategy	NOUN
cana-620	94	9	,	,	PUNCT
cana-620	94	10	used	use	VERB
cana-620	94	11	the	the	DET
cana-620	94	12	normal	normal	ADJ
cana-620	94	13	mutation	mutation	NOUN
cana-620	94	14	operator	operator	NOUN
cana-620	94	15	to	to	PART
cana-620	94	16	select	select	VERB
cana-620	94	17	the	the	DET
cana-620	94	18	population	population	NOUN
cana-620	94	19	,	,	PUNCT
cana-620	94	20	combined	combine	VERB
cana-620	94	21	with	with	ADP
cana-620	94	22	the	the	DET
cana-620	94	23	nonlinear	nonlinear	ADJ
cana-620	94	24	convergence	convergence	NOUN
cana-620	94	25	factor	factor	NOUN
cana-620	94	26	and	and	CCONJ
cana-620	94	27	the	the	DET
cana-620	94	28	sinusoidal	sinusoidal	ADJ
cana-620	94	29	spiral	spiral	ADJ
cana-620	94	30	update	update	NOUN
cana-620	94	31	strategy	strategy	NOUN
cana-620	94	32	,	,	PUNCT
cana-620	94	33	thus	thus	ADV
cana-620	94	34	forming	form	VERB
cana-620	94	35	an	an	DET
cana-620	94	36	improved	improved	ADJ
cana-620	94	37	threshold	threshold	NOUN
cana-620	94	38	control	control	NOUN
cana-620	94	39	method	method	NOUN
cana-620	94	40	.	.	PUNCT
cana-620	95	1	communications	communication	NOUN
cana-620	95	2	on	on	ADP
cana-620	95	3	applied	apply	VERB
cana-620	95	4	nonlinear	nonlinear	ADJ
cana-620	95	5	analysis	analysis	NOUN
cana-620	95	6	issn	issn	NOUN
cana-620	95	7	:	:	PUNCT
cana-620	95	8	1074	1074	NUM
cana-620	95	9	-	-	PUNCT
cana-620	95	10	133x	133x	NUM
cana-620	95	11	vol	vol	NOUN
cana-620	95	12	31	31	NUM
cana-620	95	13	no	no	NOUN
cana-620	95	14	.	.	PUNCT
cana-620	96	1	2s	2s	NUM
cana-620	96	2	(	(	PUNCT
cana-620	96	3	2024	2024	NUM
cana-620	96	4	)	)	PUNCT
cana-620	96	5	189	189	NUM
cana-620	96	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	96	7	this	this	DET
cana-620	96	8	paper	paper	NOUN
cana-620	96	9	consists	consist	VERB
cana-620	96	10	of	of	ADP
cana-620	96	11	five	five	NUM
cana-620	96	12	sections	section	NOUN
cana-620	96	13	.	.	PUNCT
cana-620	97	1	section	section	NOUN
cana-620	97	2	1	1	NUM
cana-620	97	3	gives	give	VERB
cana-620	97	4	the	the	DET
cana-620	97	5	introduction	introduction	NOUN
cana-620	97	6	,	,	PUNCT
cana-620	97	7	section	section	NOUN
cana-620	97	8	2	2	NUM
cana-620	97	9	deals	deal	NOUN
cana-620	97	10	with	with	ADP
cana-620	97	11	whale	whale	NOUN
cana-620	97	12	optimisation	optimisation	NOUN
cana-620	97	13	algorithm	algorithm	NOUN
cana-620	97	14	,	,	PUNCT
cana-620	97	15	section	section	NOUN
cana-620	97	16	3	3	NUM
cana-620	97	17	is	be	AUX
cana-620	97	18	analyzing	analyze	VERB
cana-620	97	19	the	the	DET
cana-620	97	20	weighted	weight	VERB
cana-620	97	21	extreme	extreme	ADJ
cana-620	97	22	learning	learning	NOUN
cana-620	97	23	machine	machine	NOUN
cana-620	97	24	,	,	PUNCT
cana-620	97	25	section	section	NOUN
cana-620	97	26	4	4	NUM
cana-620	97	27	is	be	AUX
cana-620	97	28	imparting	impart	VERB
cana-620	97	29	algorithm	algorithm	NOUN
cana-620	97	30	simulation	simulation	NOUN
cana-620	97	31	and	and	CCONJ
cana-620	97	32	results	result	NOUN
cana-620	97	33	,	,	PUNCT
cana-620	97	34	section	section	NOUN
cana-620	97	35	5	5	NUM
cana-620	97	36	draws	draw	VERB
cana-620	97	37	the	the	DET
cana-620	97	38	conclusion	conclusion	NOUN
cana-620	97	39	finally	finally	ADV
cana-620	97	40	reference	reference	NOUN
cana-620	97	41	taken	take	VERB
cana-620	97	42	for	for	ADP
cana-620	97	43	this	this	DET
cana-620	97	44	paper	paper	NOUN
cana-620	97	45	is	be	AUX
cana-620	97	46	discussed	discuss	VERB
cana-620	97	47	2	2	NUM
cana-620	97	48	.	.	PUNCT
cana-620	97	49	whale	whale	NOUN
cana-620	97	50	optimization	optimization	NOUN
cana-620	97	51	algorithm	algorithm	NOUN
cana-620	97	52	in	in	ADP
cana-620	97	53	order	order	NOUN
cana-620	97	54	to	to	PART
cana-620	97	55	mimic	mimic	VERB
cana-620	97	56	the	the	DET
cana-620	97	57	hunting	hunt	VERB
cana-620	97	58	behaviour	behaviour	NOUN
cana-620	97	59	of	of	ADP
cana-620	97	60	humpback	humpback	NOUN
cana-620	97	61	whales	whale	NOUN
cana-620	97	62	,	,	PUNCT
cana-620	97	63	mirjalili	mirjalili	NOUN
cana-620	97	64	of	of	ADP
cana-620	97	65	griffith	griffith	PROPN
cana-620	97	66	university	university	PROPN
cana-620	97	67	in	in	ADP
cana-620	97	68	australia	australia	PROPN
cana-620	97	69	created	create	VERB
cana-620	97	70	the	the	DET
cana-620	97	71	whale	whale	NOUN
cana-620	97	72	optimisation	optimisation	NOUN
cana-620	97	73	algorithm	algorithm	NOUN
cana-620	97	74	(	(	PUNCT
cana-620	97	75	whale	whale	NOUN
cana-620	97	76	optimisation	optimisation	NOUN
cana-620	97	77	algorithm	algorithm	NOUN
cana-620	97	78	,	,	PUNCT
cana-620	97	79	woa	woa	VERB
cana-620	97	80	)	)	PUNCT
cana-620	97	81	in	in	ADP
cana-620	97	82	2016	2016	NUM
cana-620	97	83	[	[	X
cana-620	97	84	10	10	NUM
cana-620	97	85	]	]	PUNCT
cana-620	97	86	.	.	PUNCT
cana-620	98	1	the	the	DET
cana-620	98	2	three	three	NUM
cana-620	98	3	essential	essential	ADJ
cana-620	98	4	elements	element	NOUN
cana-620	98	5	of	of	ADP
cana-620	98	6	woa	woa	INTJ
cana-620	98	7	are	be	AUX
cana-620	98	8	surrounding	surround	VERB
cana-620	98	9	prey	prey	NOUN
cana-620	98	10	,	,	PUNCT
cana-620	98	11	bubble	bubble	NOUN
cana-620	98	12	-	-	PUNCT
cana-620	98	13	net	net	NOUN
cana-620	98	14	assaulting	assaulting	NOUN
cana-620	98	15	,	,	PUNCT
cana-620	98	16	and	and	CCONJ
cana-620	98	17	hunting	hunt	VERB
cana-620	98	18	for	for	ADP
cana-620	98	19	prey	prey	NOUN
cana-620	98	20	.	.	PUNCT
cana-620	99	1	surround	surround	NOUN
cana-620	99	2	prey	prey	NOUN
cana-620	100	1	when	when	SCONJ
cana-620	100	2	humpback	humpback	NOUN
cana-620	100	3	whales	whale	NOUN
cana-620	100	4	hunt	hunt	NOUN
cana-620	100	5	,	,	PUNCT
cana-620	100	6	they	they	PRON
cana-620	100	7	surround	surround	VERB
cana-620	100	8	their	their	PRON
cana-620	100	9	prey	prey	NOUN
cana-620	100	10	.	.	PUNCT
cana-620	101	1	this	this	DET
cana-620	101	2	behavior	behavior	NOUN
cana-620	101	3	can	can	AUX
cana-620	101	4	be	be	AUX
cana-620	101	5	described	describe	VERB
cana-620	101	6	by	by	ADP
cana-620	101	7	the	the	DET
cana-620	101	8	following	follow	VERB
cana-620	101	9	model	model	NOUN
cana-620	101	10	{	{	PUNCT
cana-620	101	11	𝐷	𝐷	NOUN
cana-620	101	12	=	=	PUNCT
cana-620	101	13	|𝐶	|𝐶	NOUN
cana-620	101	14	⋅	⋅	PROPN
cana-620	101	15	𝑿′(𝑡	𝑿′(𝑡	PROPN
cana-620	101	16	)	)	PUNCT
cana-620	101	17	−	−	PROPN
cana-620	101	18	𝑿(𝑡)|	𝑿(𝑡)|	ADP
cana-620	101	19	𝑿(𝑡	𝑿(𝑡	X
cana-620	101	20	+	+	NUM
cana-620	101	21	1	1	NUM
cana-620	101	22	)	)	PUNCT
cana-620	101	23	=	=	SYM
cana-620	101	24	𝑿(𝑡	𝑿(𝑡	X
cana-620	101	25	)	)	PUNCT
cana-620	101	26	−	−	PROPN
cana-620	101	27	𝑨	𝑨	PROPN
cana-620	101	28	⋅	⋅	PROPN
cana-620	101	29	𝐷	𝐷	PROPN
cana-620	101	30	(	(	PUNCT
cana-620	101	31	1	1	NUM
cana-620	101	32	)	)	PUNCT
cana-620	101	33	with	with	ADP
cana-620	101	34	the	the	DET
cana-620	101	35	help	help	NOUN
cana-620	101	36	of	of	ADP
cana-620	101	37	the	the	DET
cana-620	101	38	below	below	ADV
cana-620	101	39	given	give	VERB
cana-620	101	40	formulas	formula	NOUN
cana-620	101	41	coefficient	coefficient	NOUN
cana-620	101	42	vectors	vector	NOUN
cana-620	101	43	a	a	PRON
cana-620	101	44	and	and	CCONJ
cana-620	101	45	c	c	PROPN
cana-620	101	46	are	be	AUX
cana-620	101	47	calculated	calculate	VERB
cana-620	101	48	.	.	PUNCT
cana-620	102	1	the	the	DET
cana-620	102	2	iteration	iteration	NOUN
cana-620	102	3	number	number	NOUN
cana-620	102	4	that	that	PRON
cana-620	102	5	is	be	AUX
cana-620	102	6	present	present	ADJ
cana-620	102	7	currently	currently	ADV
cana-620	102	8	,	,	PUNCT
cana-620	102	9	t	t	PROPN
cana-620	102	10	,	,	PUNCT
cana-620	102	11	is	be	AUX
cana-620	102	12	represented	represent	VERB
cana-620	102	13	by	by	ADP
cana-620	102	14	the	the	DET
cana-620	102	15	symbol	symbol	NOUN
cana-620	102	16	t	t	NOUN
cana-620	102	17	in	in	ADP
cana-620	102	18	the	the	DET
cana-620	102	19	following	follow	VERB
cana-620	102	20	formula	formula	NOUN
cana-620	102	21	:	:	PUNCT
cana-620	102	22	whale	whale	NOUN
cana-620	102	23	position	position	NOUN
cana-620	102	24	vector	vector	NOUN
cana-620	102	25	of	of	ADP
cana-620	102	26	present	present	ADJ
cana-620	102	27	individual	individual	ADJ
cana-620	102	28	x(t	x(t	PROPN
cana-620	102	29	)	)	PUNCT
cana-620	102	30	,	,	PUNCT
cana-620	102	31	x*(t	x*(t	NUM
cana-620	102	32	)	)	PUNCT
cana-620	102	33	is	be	AUX
cana-620	102	34	the	the	DET
cana-620	102	35	current	current	ADJ
cana-620	102	36	ideal	ideal	ADJ
cana-620	102	37	solution	solution	NOUN
cana-620	102	38	location	location	NOUN
cana-620	102	39	,	,	PUNCT
cana-620	102	40	d	d	PROPN
cana-620	102	41	is	be	AUX
cana-620	102	42	the	the	DET
cana-620	102	43	distance	distance	NOUN
cana-620	102	44	between	between	ADP
cana-620	102	45	optimal	optimal	ADJ
cana-620	102	46	position	position	NOUN
cana-620	102	47	and	and	CCONJ
cana-620	102	48	current	current	ADJ
cana-620	102	49	whale	whale	NOUN
cana-620	102	50	individual	individual	NOUN
cana-620	102	51	.	.	PUNCT
cana-620	103	1	{	{	PUNCT
cana-620	103	2	𝐴	𝐴	NOUN
cana-620	103	3	=	=	SYM
cana-620	103	4	2𝑎	2𝑎	NUM
cana-620	103	5	⋅	⋅	X
cana-620	103	6	𝑟	𝑟	PRON
cana-620	103	7	−	−	PROPN
cana-620	103	8	𝑎	𝑎	DET
cana-620	103	9	𝐶	𝐶	PROPN
cana-620	103	10	=	=	PUNCT
cana-620	103	11	2𝑟	2𝑟	NUM
cana-620	103	12	(	(	PUNCT
cana-620	103	13	2	2	NUM
cana-620	103	14	)	)	PUNCT
cana-620	103	15	in	in	ADP
cana-620	103	16	the	the	DET
cana-620	103	17	formula	formula	NOUN
cana-620	103	18	,	,	PUNCT
cana-620	103	19	r	r	NOUN
cana-620	103	20	is	be	AUX
cana-620	103	21	a	a	DET
cana-620	103	22	random	random	ADJ
cana-620	103	23	vector	vector	NOUN
cana-620	103	24	between	between	ADP
cana-620	103	25	0	0	NUM
cana-620	103	26	and	and	CCONJ
cana-620	103	27	1	1	NUM
cana-620	103	28	and	and	CCONJ
cana-620	103	29	a	a	DET
cana-620	103	30	declines	decline	NOUN
cana-620	103	31	linearly	linearly	ADV
cana-620	103	32	from	from	ADP
cana-620	103	33	2	2	NUM
cana-620	103	34	to	to	ADP
cana-620	103	35	0	0	NUM
cana-620	103	36	in	in	ADP
cana-620	103	37	the	the	DET
cana-620	103	38	iterative	iterative	NOUN
cana-620	103	39	phase	phase	NOUN
cana-620	103	40	.	.	PUNCT
cana-620	104	1	2.1	2.1	NUM
cana-620	104	2	bubble	bubble	NOUN
cana-620	104	3	attack	attack	NOUN
cana-620	104	4	the	the	DET
cana-620	104	5	humpback	humpback	NOUN
cana-620	104	6	whale	whale	NOUN
cana-620	104	7	swims	swim	NOUN
cana-620	104	8	in	in	ADP
cana-620	104	9	a	a	DET
cana-620	104	10	circular	circular	ADJ
cana-620	104	11	motion	motion	NOUN
cana-620	104	12	to	to	ADP
cana-620	104	13	its	its	PRON
cana-620	104	14	prey	prey	NOUN
cana-620	104	15	when	when	SCONJ
cana-620	104	16	it	it	PRON
cana-620	104	17	is	be	AUX
cana-620	104	18	hunting	hunt	VERB
cana-620	104	19	,	,	PUNCT
cana-620	104	20	in	in	ADP
cana-620	104	21	accordance	accordance	NOUN
cana-620	104	22	with	with	ADP
cana-620	104	23	its	its	PRON
cana-620	104	24	hunting	hunt	VERB
cana-620	104	25	behaviour	behaviour	NOUN
cana-620	104	26	.	.	PUNCT
cana-620	105	1	here	here	ADV
cana-620	105	2	is	be	AUX
cana-620	105	3	the	the	DET
cana-620	105	4	mathematical	mathematical	ADJ
cana-620	105	5	model	model	NOUN
cana-620	105	6	:	:	PUNCT
cana-620	105	7	{	{	PUNCT
cana-620	105	8	𝑿(𝑡	𝑿(𝑡	X
cana-620	105	9	+	+	NUM
cana-620	105	10	1	1	NUM
cana-620	105	11	)	)	PUNCT
cana-620	105	12	=	=	SYM
cana-620	105	13	𝑿∗(𝑡	𝑿∗(𝑡	PROPN
cana-620	105	14	)	)	PUNCT
cana-620	105	15	+	+	PUNCT
cana-620	106	1	𝐷𝑝	𝐷𝑝	PROPN
cana-620	106	2	⋅	⋅	PROPN
cana-620	106	3	e	e	PROPN
cana-620	106	4	𝑏𝑡	𝑏𝑡	PROPN
cana-620	106	5	⋅	⋅	PROPN
cana-620	106	6	cos⁡(2𝜋/	cos⁡(2𝜋/	X
cana-620	106	7	)	)	PUNCT
cana-620	106	8	𝑫p	𝑫p	PROPN
cana-620	106	9	=	=	PUNCT
cana-620	106	10	|𝑿′(𝑡	|𝑿′(𝑡	PROPN
cana-620	106	11	)	)	PUNCT
cana-620	106	12	−	−	PROPN
cana-620	106	13	𝑿(𝑡)|	𝑿(𝑡)|	NOUN
cana-620	106	14	(	(	PUNCT
cana-620	106	15	3	3	X
cana-620	106	16	)	)	PUNCT
cana-620	106	17	the	the	DET
cana-620	106	18	distance	distance	NOUN
cana-620	106	19	between	between	ADP
cana-620	106	20	the	the	DET
cana-620	106	21	prey	prey	NOUN
cana-620	106	22	and	and	CCONJ
cana-620	106	23	the	the	DET
cana-620	106	24	whale	whale	NOUN
cana-620	106	25	is	be	AUX
cana-620	106	26	denoted	denote	VERB
cana-620	106	27	by	by	ADP
cana-620	106	28	the	the	DET
cana-620	106	29	symbol	symbol	NOUN
cana-620	106	30	dp	dp	NOUN
cana-620	106	31	in	in	ADP
cana-620	106	32	the	the	DET
cana-620	106	33	equation	equation	NOUN
cana-620	106	34	.	.	PUNCT
cana-620	107	1	the	the	DET
cana-620	107	2	shape	shape	NOUN
cana-620	107	3	parameter	parameter	NOUN
cana-620	107	4	of	of	ADP
cana-620	107	5	the	the	DET
cana-620	107	6	logarithmic	logarithmic	ADJ
cana-620	107	7	spiral	spiral	NOUN
cana-620	107	8	is	be	AUX
cana-620	107	9	denoted	denote	VERB
cana-620	107	10	by	by	ADP
cana-620	107	11	the	the	DET
cana-620	107	12	symbol	symbol	NOUN
cana-620	107	13	b.	b.	PROPN
cana-620	107	14	as	as	ADP
cana-620	107	15	the	the	DET
cana-620	107	16	whale	whale	NOUN
cana-620	107	17	swims	swim	VERB
cana-620	107	18	in	in	ADP
cana-620	107	19	a	a	DET
cana-620	107	20	spiral	spiral	ADJ
cana-620	107	21	motion	motion	NOUN
cana-620	107	22	towards	towards	ADP
cana-620	107	23	the	the	DET
cana-620	107	24	prey	prey	NOUN
cana-620	107	25	,	,	PUNCT
cana-620	107	26	the	the	DET
cana-620	107	27	circle	circle	NOUN
cana-620	107	28	of	of	ADP
cana-620	107	29	encirclement	encirclement	NOUN
cana-620	107	30	gets	get	VERB
cana-620	107	31	smaller	small	ADJ
cana-620	107	32	.	.	PUNCT
cana-620	108	1	in	in	ADP
cana-620	108	2	order	order	NOUN
cana-620	108	3	to	to	PART
cana-620	108	4	update	update	VERB
cana-620	108	5	the	the	DET
cana-620	108	6	whales	whale	NOUN
cana-620	108	7	position	position	NOUN
cana-620	108	8	,	,	PUNCT
cana-620	108	9	it	it	PRON
cana-620	108	10	is	be	AUX
cana-620	108	11	thought	think	VERB
cana-620	108	12	that	that	SCONJ
cana-620	108	13	in	in	ADP
cana-620	108	14	this	this	DET
cana-620	108	15	synchronous	synchronous	ADJ
cana-620	108	16	behavior	behavior	NOUN
cana-620	108	17	model	model	NOUN
cana-620	108	18	,	,	PUNCT
cana-620	108	19	a	a	DET
cana-620	108	20	probability	probability	NOUN
cana-620	108	21	of	of	ADP
cana-620	108	22	1	1	NUM
cana-620	108	23	-	-	PUNCT
cana-620	108	24	pi	pi	NOUN
cana-620	108	25	will	will	AUX
cana-620	108	26	be	be	AUX
cana-620	108	27	used	use	VERB
cana-620	108	28	to	to	PART
cana-620	108	29	select	select	VERB
cana-620	108	30	the	the	DET
cana-620	108	31	spiral	spiral	ADJ
cana-620	108	32	model	model	NOUN
cana-620	108	33	and	and	CCONJ
cana-620	108	34	a	a	DET
cana-620	108	35	probability	probability	NOUN
cana-620	108	36	of	of	ADP
cana-620	108	37	pi	pi	NOUN
cana-620	108	38	will	will	AUX
cana-620	108	39	be	be	AUX
cana-620	108	40	used	use	VERB
cana-620	108	41	to	to	PART
cana-620	108	42	select	select	VERB
cana-620	108	43	the	the	DET
cana-620	108	44	contraction	contraction	NOUN
cana-620	108	45	encirclement	encirclement	NOUN
cana-620	108	46	method	method	NOUN
cana-620	108	47	.	.	PUNCT
cana-620	109	1	the	the	DET
cana-620	109	2	mathematical	mathematical	PROPN
cana-620	109	3	described	describe	VERB
cana-620	109	4	as	as	SCONJ
cana-620	109	5	follows	follow	VERB
cana-620	109	6	:	:	PUNCT
cana-620	109	7	𝑋(𝑡	𝑋(𝑡	PROPN
cana-620	109	8	+	+	NUM
cana-620	109	9	1	1	X
cana-620	109	10	)	)	PUNCT
cana-620	109	11	=	=	PRON
cana-620	109	12	{	{	PUNCT
cana-620	109	13	𝑿′(𝑡	𝑿′(𝑡	NOUN
cana-620	109	14	)	)	PUNCT
cana-620	109	15	−	−	PROPN
cana-620	109	16	𝑨	𝑨	PROPN
cana-620	109	17	⋅	⋅	PROPN
cana-620	109	18	𝐷	𝐷	PROPN
cana-620	109	19	𝑝	𝑝	NOUN
cana-620	109	20	<	<	X
cana-620	109	21	𝑃𝑖	𝑃𝑖	ADP
cana-620	109	22	𝑿′(𝑡	𝑿′(𝑡	PROPN
cana-620	109	23	)	)	PUNCT
cana-620	109	24	+	+	CCONJ
cana-620	110	1	𝑫p	𝑫p	ADV
cana-620	110	2	⋅	⋅	PROPN
cana-620	110	3	e	e	PROPN
cana-620	110	4	𝑏⋅	𝑏⋅	X
cana-620	110	5	⋅	⋅	PROPN
cana-620	110	6	cos⁡(2𝜋/	cos⁡(2𝜋/	X
cana-620	110	7	)	)	PUNCT
cana-620	110	8	𝑝	𝑝	NOUN
cana-620	110	9	⩾	⩾	NOUN
cana-620	111	1	𝑃𝑖	𝑃𝑖	ADP
cana-620	111	2	(	(	PUNCT
cana-620	111	3	4	4	X
cana-620	111	4	)	)	PUNCT
cana-620	111	5	communications	communication	NOUN
cana-620	111	6	on	on	ADP
cana-620	111	7	applied	apply	VERB
cana-620	111	8	nonlinear	nonlinear	ADJ
cana-620	111	9	analysis	analysis	NOUN
cana-620	111	10	issn	issn	NOUN
cana-620	111	11	:	:	PUNCT
cana-620	111	12	1074	1074	NUM
cana-620	111	13	-	-	PUNCT
cana-620	111	14	133x	133x	NUM
cana-620	111	15	vol	vol	NOUN
cana-620	111	16	31	31	NUM
cana-620	111	17	no	no	NOUN
cana-620	111	18	.	.	PUNCT
cana-620	112	1	2s	2s	NUM
cana-620	112	2	(	(	PUNCT
cana-620	112	3	2024	2024	NUM
cana-620	112	4	)	)	PUNCT
cana-620	112	5	190	190	NUM
cana-620	112	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-620	112	7	2.2	2.2	NUM
cana-620	112	8	search	search	NOUN
cana-620	112	9	for	for	ADP
cana-620	112	10	prey	prey	NOUN
cana-620	112	11	in	in	ADP
cana-620	112	12	addition	addition	NOUN
cana-620	112	13	to	to	ADP
cana-620	112	14	the	the	DET
cana-620	112	15	bubble	bubble	NOUN
cana-620	112	16	attack	attack	NOUN
cana-620	112	17	strategy	strategy	NOUN
cana-620	112	18	of	of	ADP
cana-620	112	19	humpback	humpback	NOUN
cana-620	112	20	whales	whale	NOUN
cana-620	112	21	,	,	PUNCT
cana-620	112	22	random	random	ADJ
cana-620	112	23	predation	predation	NOUN
cana-620	112	24	is	be	AUX
cana-620	112	25	also	also	ADV
cana-620	112	26	an	an	DET
cana-620	112	27	important	important	ADJ
cana-620	112	28	means	mean	NOUN
cana-620	112	29	.	.	PUNCT
cana-620	113	1	if	if	SCONJ
cana-620	113	2	|a|>1	|a|>1	NOUN
cana-620	113	3	,	,	PUNCT
cana-620	113	4	the	the	DET
cana-620	113	5	distance	distance	NOUN
cana-620	113	6	data	datum	NOUN
cana-620	113	7	d	d	NOUN
cana-620	113	8	will	will	AUX
cana-620	113	9	be	be	AUX
cana-620	113	10	updated	update	VERB
cana-620	113	11	randomly	randomly	ADV
cana-620	113	12	,	,	PUNCT
cana-620	113	13	indicating	indicate	VERB
cana-620	113	14	that	that	SCONJ
cana-620	113	15	humpback	humpback	NOUN
cana-620	113	16	whales	whale	NOUN
cana-620	113	17	conduct	conduct	VERB
cana-620	113	18	random	random	ADJ
cana-620	113	19	searches	search	NOUN
cana-620	113	20	according	accord	VERB
cana-620	113	21	to	to	ADP
cana-620	113	22	each	each	DET
cana-620	113	23	other	other	ADJ
cana-620	113	24	's	's	PART
cana-620	113	25	positions	position	NOUN
cana-620	113	26	.	.	PUNCT
cana-620	114	1	the	the	DET
cana-620	114	2	hunting	hunt	VERB
cana-620	114	3	model	model	NOUN
cana-620	114	4	at	at	ADP
cana-620	114	5	this	this	DET
cana-620	114	6	time	time	NOUN
cana-620	114	7	is	be	AUX
cana-620	114	8	:	:	PUNCT
cana-620	114	9	{	{	PUNCT
cana-620	114	10	𝑫	𝑫	NOUN
cana-620	114	11	=	=	SYM
cana-620	114	12	|𝐶	|𝐶	X
cana-620	114	13	⋅	⋅	PROPN
cana-620	114	14	𝑿rand	𝑿rand	PROPN
cana-620	114	15	(	(	PUNCT
cana-620	114	16	𝑡	𝑡	NOUN
cana-620	114	17	)	)	PUNCT
cana-620	114	18	−	−	PROPN
cana-620	114	19	𝑿(𝑡)|	𝑿(𝑡)|	NOUN
cana-620	114	20	𝑿(𝑡	𝑿(𝑡	X
cana-620	114	21	+	+	NUM
cana-620	114	22	1	1	NUM
cana-620	114	23	)	)	PUNCT
cana-620	114	24	=	=	SYM
cana-620	114	25	𝑋rand	𝑋rand	PROPN
cana-620	114	26	(	(	PUNCT
cana-620	114	27	𝑡	𝑡	NOUN
cana-620	114	28	)	)	PUNCT
cana-620	114	29	−	−	PROPN
cana-620	114	30	𝑨	𝑨	PROPN
cana-620	114	31	⋅	⋅	PROPN
cana-620	114	32	𝐷	𝐷	PROPN
cana-620	114	33	(	(	PUNCT
cana-620	114	34	5	5	NUM
cana-620	114	35	)	)	PUNCT
cana-620	114	36	in	in	ADP
cana-620	114	37	the	the	DET
cana-620	114	38	formula	formula	NOUN
cana-620	114	39	,	,	PUNCT
cana-620	114	40	xrand(t	xrand(t	NOUN
cana-620	114	41	)	)	PUNCT
cana-620	114	42	is	be	AUX
cana-620	114	43	the	the	DET
cana-620	114	44	random	random	ADJ
cana-620	114	45	position	position	NOUN
cana-620	114	46	vector	vector	NOUN
cana-620	114	47	for	for	ADP
cana-620	114	48	selecting	select	VERB
cana-620	114	49	individuals	individual	NOUN
cana-620	114	50	from	from	ADP
cana-620	114	51	the	the	DET
cana-620	114	52	current	current	ADJ
cana-620	114	53	population	population	NOUN
cana-620	114	54	.	.	PUNCT
cana-620	115	1	2.3	2.3	NUM
cana-620	115	2	improvement	improvement	NOUN
cana-620	115	3	of	of	ADP
cana-620	115	4	woa	woa	INTJ
cana-620	115	5	based	base	VERB
cana-620	115	6	on	on	ADP
cana-620	115	7	weight	weight	NOUN
cana-620	115	8	adaptation	adaptation	NOUN
cana-620	115	9	when	when	SCONJ
cana-620	115	10	compared	compare	VERB
cana-620	115	11	to	to	ADP
cana-620	115	12	other	other	ADJ
cana-620	115	13	intelligent	intelligent	ADJ
cana-620	115	14	algorithms	algorithm	NOUN
cana-620	115	15	,	,	PUNCT
cana-620	115	16	woa	woa	VERB
cana-620	115	17	has	have	VERB
cana-620	115	18	the	the	DET
cana-620	115	19	benefits	benefit	NOUN
cana-620	115	20	of	of	ADP
cana-620	115	21	cheap	cheap	ADJ
cana-620	115	22	execution	execution	NOUN
cana-620	115	23	,	,	PUNCT
cana-620	115	24	quick	quick	ADJ
cana-620	115	25	convergence	convergence	NOUN
cana-620	115	26	,	,	PUNCT
cana-620	115	27	and	and	CCONJ
cana-620	115	28	simple	simple	ADJ
cana-620	115	29	computation	computation	NOUN
cana-620	115	30	,	,	PUNCT
cana-620	115	31	but	but	CCONJ
cana-620	115	32	it	it	PRON
cana-620	115	33	also	also	ADV
cana-620	115	34	has	have	VERB
cana-620	115	35	drawbacks	drawback	NOUN
cana-620	115	36	including	include	VERB
cana-620	115	37	premature	premature	ADJ
cana-620	115	38	convergence	convergence	NOUN
cana-620	115	39	and	and	CCONJ
cana-620	115	40	a	a	DET
cana-620	115	41	tendency	tendency	NOUN
cana-620	115	42	to	to	PART
cana-620	115	43	easily	easily	ADV
cana-620	115	44	enter	enter	VERB
cana-620	115	45	local	local	ADJ
cana-620	115	46	optimum	optimum	NOUN
cana-620	115	47	.	.	PUNCT
cana-620	116	1	the	the	DET
cana-620	116	2	weight	weight	NOUN
cana-620	116	3	in	in	ADP
cana-620	116	4	particular	particular	ADJ
cana-620	116	5	has	have	VERB
cana-620	116	6	a	a	DET
cana-620	116	7	big	big	ADJ
cana-620	116	8	effect	effect	NOUN
cana-620	116	9	on	on	ADP
cana-620	116	10	the	the	DET
cana-620	116	11	algorithm	algorithm	NOUN
cana-620	116	12	:	:	PUNCT
cana-620	116	13	when	when	SCONJ
cana-620	116	14	the	the	DET
cana-620	116	15	weight	weight	NOUN
cana-620	116	16	is	be	AUX
cana-620	116	17	high	high	ADJ
cana-620	116	18	,	,	PUNCT
cana-620	116	19	the	the	DET
cana-620	116	20	convergence	convergence	NOUN
cana-620	116	21	speed	speed	NOUN
cana-620	116	22	is	be	AUX
cana-620	116	23	quick	quick	ADJ
cana-620	116	24	and	and	CCONJ
cana-620	116	25	the	the	DET
cana-620	116	26	search	search	NOUN
cana-620	116	27	space	space	NOUN
cana-620	116	28	is	be	AUX
cana-620	116	29	broad	broad	ADJ
cana-620	116	30	;	;	PUNCT
cana-620	116	31	when	when	SCONJ
cana-620	116	32	the	the	DET
cana-620	116	33	weight	weight	NOUN
cana-620	116	34	is	be	AUX
cana-620	116	35	low	low	ADJ
cana-620	116	36	,	,	PUNCT
cana-620	116	37	it	it	PRON
cana-620	116	38	's	be	AUX
cana-620	116	39	difficult	difficult	ADJ
cana-620	116	40	to	to	PART
cana-620	116	41	miss	miss	VERB
cana-620	116	42	the	the	DET
cana-620	116	43	overall	overall	ADJ
cana-620	116	44	best	good	ADJ
cana-620	116	45	solution	solution	NOUN
cana-620	116	46	,	,	PUNCT
cana-620	116	47	but	but	CCONJ
cana-620	116	48	the	the	DET
cana-620	116	49	convergence	convergence	NOUN
cana-620	116	50	time	time	NOUN
cana-620	116	51	is	be	AUX
cana-620	116	52	sluggish	sluggish	ADJ
cana-620	116	53	.	.	PUNCT
cana-620	117	1	consequently	consequently	ADV
cana-620	117	2	,	,	PUNCT
cana-620	117	3	it	it	PRON
cana-620	117	4	is	be	AUX
cana-620	117	5	vital	vital	ADJ
cana-620	117	6	to	to	PART
cana-620	117	7	develop	develop	VERB
cana-620	117	8	adaptive	adaptive	ADJ
cana-620	117	9	weights	weight	NOUN
cana-620	117	10	improvements	improvement	NOUN
cana-620	117	11	.	.	PUNCT
cana-620	118	1	the	the	DET
cana-620	118	2	nonlinear	nonlinear	ADJ
cana-620	118	3	weights	weight	NOUN
cana-620	118	4	s1	s1	NOUN
cana-620	118	5	and	and	CCONJ
cana-620	118	6	s2	s2	PROPN
cana-620	118	7	are	be	AUX
cana-620	118	8	introduced	introduce	VERB
cana-620	118	9	into	into	ADP
cana-620	118	10	woa	woa	NOUN
cana-620	118	11	,	,	PUNCT
cana-620	118	12	and	and	CCONJ
cana-620	118	13	the	the	DET
cana-620	118	14	calculation	calculation	NOUN
cana-620	118	15	formula	formula	NOUN
cana-620	118	16	is	be	AUX
cana-620	118	17	as	as	SCONJ
cana-620	118	18	follows	follow	VERB
cana-620	118	19	:	:	PUNCT
cana-620	118	20	{	{	PUNCT
cana-620	119	1	𝑆1	𝑆1	NOUN
cana-620	119	2	=	=	SYM
cana-620	119	3	−𝛾	−𝛾	PROPN
cana-620	119	4	[	[	X
cana-620	119	5	cos	cos	X
cana-620	119	6	(	(	PUNCT
cana-620	119	7	𝜋	𝜋	X
cana-620	119	8	⋅	⋅	PROPN
cana-620	119	9	𝑡	𝑡	PROPN
cana-620	119	10	𝑇𝑚𝑎𝑥	𝑇𝑚𝑎𝑥	PROPN
cana-620	119	11	−	−	PROPN
cana-620	119	12	𝜆	𝜆	NOUN
cana-620	119	13	)	)	PUNCT
cana-620	119	14	]	]	PUNCT
cana-620	119	15	𝑆2	𝑆2	PROPN
cana-620	119	16	=	=	SYM
cana-620	120	1	𝛾	𝛾	PROPN
cana-620	121	1	[	[	X
cana-620	121	2	cos	cos	X
cana-620	121	3	(	(	PUNCT
cana-620	121	4	𝜋	𝜋	X
cana-620	121	5	⋅	⋅	PROPN
cana-620	121	6	𝑡	𝑡	VERB
cana-620	121	7	𝑇𝑚𝑎𝑥	𝑇𝑚𝑎𝑥	PROPN
cana-620	121	8	+	+	CCONJ
cana-620	121	9	𝜆	𝜆	X
cana-620	121	10	)	)	PUNCT
cana-620	121	11	]	]	PUNCT
cana-620	121	12	(	(	PUNCT
cana-620	121	13	6	6	NUM
cana-620	121	14	)	)	PUNCT
cana-620	121	15	in	in	ADP
cana-620	121	16	the	the	DET
cana-620	121	17	formula	formula	NOUN
cana-620	121	18	,	,	PUNCT
cana-620	121	19	γ	γ	X
cana-620	121	20	is	be	AUX
cana-620	121	21	the	the	DET
cana-620	121	22	value	value	NOUN
cana-620	121	23	range	range	NOUN
cana-620	121	24	of	of	ADP
cana-620	121	25	s1	s1	PROPN
cana-620	121	26	and	and	CCONJ
cana-620	121	27	s2	s2	PROPN
cana-620	121	28	;	;	PUNCT
cana-620	121	29	λ	λ	X
cana-620	121	30	is	be	AUX
cana-620	121	31	the	the	DET
cana-620	121	32	value	value	NOUN
cana-620	121	33	step	step	NOUN
cana-620	121	34	of	of	ADP
cana-620	121	35	s1	s1	NOUN
cana-620	121	36	and	and	CCONJ
cana-620	121	37	s2	s2	PROPN
cana-620	121	38	.	.	PUNCT
cana-620	122	1	s2	s2	PROPN
cana-620	122	2	declines	decline	VERB
cana-620	122	3	nonlinearly	nonlinearly	ADV
cana-620	122	4	with	with	ADP
cana-620	122	5	the	the	DET
cana-620	122	6	number	number	NOUN
cana-620	122	7	of	of	ADP
cana-620	122	8	iterations	iteration	NOUN
cana-620	122	9	and	and	CCONJ
cana-620	122	10	has	have	VERB
cana-620	122	11	a	a	DET
cana-620	122	12	smaller	small	ADJ
cana-620	122	13	step	step	NOUN
cana-620	122	14	size	size	NOUN
cana-620	122	15	in	in	ADP
cana-620	122	16	the	the	DET
cana-620	122	17	late	late	ADJ
cana-620	122	18	iteration	iteration	NOUN
cana-620	122	19	to	to	PART
cana-620	122	20	speed	speed	VERB
cana-620	122	21	up	up	ADP
cana-620	122	22	the	the	DET
cana-620	122	23	convergence	convergence	NOUN
cana-620	122	24	pace	pace	NOUN
cana-620	122	25	.	.	PUNCT
cana-620	123	1	to	to	PART
cana-620	123	2	enable	enable	VERB
cana-620	123	3	the	the	DET
cana-620	123	4	population	population	NOUN
cana-620	123	5	to	to	PART
cana-620	123	6	fully	fully	ADV
cana-620	123	7	migrate	migrate	VERB
cana-620	123	8	to	to	ADP
cana-620	123	9	the	the	DET
cana-620	123	10	ideal	ideal	ADJ
cana-620	123	11	site	site	NOUN
cana-620	123	12	,	,	PUNCT
cana-620	123	13	s1	s1	PROPN
cana-620	123	14	rises	rise	VERB
cana-620	123	15	nonlinearly	nonlinearly	ADV
cana-620	123	16	with	with	ADP
cana-620	123	17	the	the	DET
cana-620	123	18	number	number	NOUN
cana-620	123	19	of	of	ADP
cana-620	123	20	iterations	iteration	NOUN
cana-620	123	21	.	.	PUNCT
cana-620	124	1	add	add	VERB
cana-620	124	2	nonlinear	nonlinear	ADJ
cana-620	124	3	weights	weight	NOUN
cana-620	124	4	s1	s1	NOUN
cana-620	124	5	and	and	CCONJ
cana-620	124	6	s2	s2	NOUN
cana-620	124	7	to	to	PART
cana-620	124	8	formulae	formulae	VERB
cana-620	124	9	(	(	PUNCT
cana-620	124	10	4	4	NUM
cana-620	124	11	)	)	PUNCT
cana-620	124	12	and	and	CCONJ
cana-620	124	13	(	(	PUNCT
cana-620	124	14	5	5	NUM
cana-620	124	15	)	)	PUNCT
cana-620	124	16	,	,	PUNCT
cana-620	124	17	which	which	PRON
cana-620	124	18	will	will	AUX
cana-620	124	19	enhance	enhance	VERB
cana-620	124	20	surrounding	surround	VERB
cana-620	124	21	prey	prey	NOUN
cana-620	124	22	,	,	PUNCT
cana-620	124	23	bubble	bubble	NOUN
cana-620	124	24	assault	assault	NOUN
cana-620	124	25	,	,	PUNCT
cana-620	124	26	and	and	CCONJ
cana-620	124	27	prey	prey	PROPN
cana-620	124	28	hunting	hunt	VERB
cana-620	124	29	,	,	PUNCT
cana-620	124	30	and	and	CCONJ
cana-620	124	31	you	you	PRON
cana-620	124	32	'll	will	AUX
cana-620	124	33	obtain	obtain	VERB
cana-620	124	34	:	:	PUNCT
cana-620	124	35	𝑋(𝑡	𝑋(𝑡	PROPN
cana-620	125	1	+	+	NUM
cana-620	125	2	1	1	X
cana-620	125	3	)	)	PUNCT
cana-620	125	4	=	=	PRON
cana-620	125	5	{	{	PUNCT
cana-620	125	6	𝑿′(𝑡	𝑿′(𝑡	NOUN
cana-620	125	7	)	)	PUNCT
cana-620	125	8	−	−	PROPN
cana-620	125	9	𝑆2	𝑆2	PROPN
cana-620	125	10	⋅	⋅	PROPN
cana-620	125	11	𝑨	𝑨	PROPN
cana-620	125	12	⋅	⋅	PROPN
cana-620	125	13	𝐷	𝐷	PROPN
cana-620	125	14	𝑝	𝑝	NOUN
cana-620	125	15	<	<	X
cana-620	126	1	𝑃𝑖	𝑃𝑖	ADP
cana-620	126	2	𝑆1[𝑿	𝑆1[𝑿	PROPN
cana-620	126	3	′(𝑡	′(𝑡	NOUN
cana-620	126	4	)	)	PUNCT
cana-620	126	5	+	+	CCONJ
cana-620	126	6	𝐷p	𝐷p	PROPN
cana-620	126	7	⋅	⋅	PROPN
cana-620	126	8	e	e	PROPN
cana-620	126	9	𝑏𝑙	𝑏𝑙	PROPN
cana-620	126	10	⋅	⋅	PROPN
cana-620	126	11	cos⁡(2𝜋/	cos⁡(2𝜋/	NUM
cana-620	126	12	)	)	PUNCT
cana-620	126	13	]	]	PUNCT
cana-620	127	1	𝑝	𝑝	X
cana-620	127	2	⩾	⩾	NOUN
cana-620	128	1	𝑃𝑖	𝑃𝑖	ADP
cana-620	128	2	𝑿(𝑡	𝑿(𝑡	NOUN
cana-620	128	3	+	+	NOUN
cana-620	128	4	1	1	NUM
cana-620	128	5	)	)	PUNCT
cana-620	128	6	=	=	SYM
cana-620	128	7	𝑋rand	𝑋rand	PROPN
cana-620	128	8	(	(	PUNCT
cana-620	128	9	𝑡	𝑡	NOUN
cana-620	128	10	)	)	PUNCT
cana-620	128	11	−	−	PROPN
cana-620	128	12	𝑆2	𝑆2	PROPN
cana-620	128	13	⋅	⋅	PROPN
cana-620	128	14	𝑨	𝑨	PROPN
cana-620	128	15	⋅	⋅	PROPN
cana-620	128	16	𝐷	𝐷	PROPN
cana-620	128	17	(	(	PUNCT
cana-620	128	18	7	7	NUM
cana-620	128	19	)	)	PUNCT
cana-620	128	20	the	the	DET
cana-620	128	21	woa	woa	INTJ
cana-620	128	22	(	(	PUNCT
cana-620	128	23	wwoa	wwoa	NOUN
cana-620	128	24	)	)	PUNCT
cana-620	128	25	process	process	NOUN
cana-620	128	26	based	base	VERB
cana-620	128	27	on	on	ADP
cana-620	128	28	weight	weight	NOUN
cana-620	128	29	adaptive	adaptive	ADJ
cana-620	128	30	improvement	improvement	NOUN
cana-620	128	31	is	be	AUX
cana-620	128	32	shown	show	VERB
cana-620	128	33	in	in	ADP
cana-620	128	34	figure	figure	NOUN
cana-620	128	35	1	1	NUM
cana-620	128	36	communications	communication	NOUN
cana-620	128	37	on	on	ADP
cana-620	128	38	applied	apply	VERB
cana-620	128	39	nonlinear	nonlinear	ADJ
cana-620	128	40	analysis	analysis	NOUN
cana-620	128	41	issn	issn	NOUN
cana-620	128	42	:	:	PUNCT
cana-620	128	43	1074	1074	NUM
cana-620	128	44	-	-	PUNCT
cana-620	128	45	133x	133x	NUM
cana-620	128	46	vol	vol	NOUN
cana-620	128	47	31	31	NUM
cana-620	128	48	no	no	NOUN
cana-620	128	49	.	.	PUNCT
cana-620	129	1	2s	2s	NUM
cana-620	129	2	(	(	PUNCT
cana-620	129	3	2024	2024	NUM
cana-620	129	4	)	)	PUNCT
cana-620	129	5	191	191	NUM
cana-620	129	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-620	129	7	figure	figure	NOUN
cana-620	129	8	.	.	PUNCT
cana-620	130	1	1	1	NUM
cana-620	130	2	flow	flow	NOUN
cana-620	130	3	chart	chart	NOUN
cana-620	130	4	of	of	ADP
cana-620	130	5	wwoa	wwoa	ADJ
cana-620	130	6	start	start	VERB
cana-620	130	7	set	set	VERB
cana-620	130	8	algorithm	algorithm	NOUN
cana-620	130	9	parameter	parameter	NOUN
cana-620	130	10	population	population	PROPN
cana-620	130	11	initialization	initialization	PROPN
cana-620	130	12	calculate	calculate	VERB
cana-620	130	13	individual	individual	ADJ
cana-620	130	14	fitness	fitness	NOUN
cana-620	130	15	is	be	AUX
cana-620	130	16	it	it	PRON
cana-620	130	17	over	over	ADP
cana-620	130	18	update	update	NOUN
cana-620	130	19	coefficient	coefficient	NOUN
cana-620	130	20	vector	vector	NOUN
cana-620	130	21	a	a	PROPN
cana-620	130	22	and	and	CCONJ
cana-620	130	23	c	c	NOUN
cana-620	130	24	select	select	VERB
cana-620	130	25	a	a	DET
cana-620	130	26	random	random	ADJ
cana-620	130	27	number	number	NOUN
cana-620	130	28	p	p	NOUN
cana-620	130	29	between	between	ADP
cana-620	130	30	[	[	X
cana-620	130	31	0,1	0,1	NUM
cana-620	130	32	]	]	PUNCT
cana-620	130	33	p<0.5	p<0.5	NUM
cana-620	130	34	│	│	NOUN
cana-620	130	35	a	a	DET
cana-620	130	36	│	│	ADJ
cana-620	130	37	<1	<1	NOUN
cana-620	130	38	based	base	VERB
cana-620	130	39	on	on	ADP
cana-620	130	40	the	the	DET
cana-620	130	41	formula	formula	NOUN
cana-620	130	42	the	the	DET
cana-620	130	43	individual	individual	ADJ
cana-620	130	44	positions	position	NOUN
cana-620	130	45	are	be	AUX
cana-620	130	46	updated	update	VERB
cana-620	130	47	based	base	VERB
cana-620	130	48	on	on	ADP
cana-620	130	49	the	the	DET
cana-620	130	50	formula	formula	NOUN
cana-620	130	51	the	the	DET
cana-620	130	52	individual	individual	ADJ
cana-620	130	53	positions	position	NOUN
cana-620	130	54	are	be	AUX
cana-620	130	55	updated	update	VERB
cana-620	130	56	based	base	VERB
cana-620	130	57	on	on	ADP
cana-620	130	58	the	the	DET
cana-620	130	59	formula	formula	NOUN
cana-620	130	60	the	the	DET
cana-620	130	61	individual	individual	ADJ
cana-620	130	62	positions	position	NOUN
cana-620	130	63	are	be	AUX
cana-620	130	64	updated	update	VERB
cana-620	130	65	output	output	NOUN
cana-620	130	66	the	the	DET
cana-620	130	67	optimal	optimal	ADJ
cana-620	130	68	solution	solution	NOUN
cana-620	130	69	finish	finish	VERB
cana-620	131	1	yes	yes	INTJ
cana-620	132	1	no	no	INTJ
cana-620	133	1	no	no	INTJ
cana-620	134	1	yes	yes	INTJ
cana-620	134	2	yes	yes	INTJ
cana-620	134	3	communications	communication	NOUN
cana-620	134	4	on	on	ADP
cana-620	134	5	applied	apply	VERB
cana-620	134	6	nonlinear	nonlinear	ADJ
cana-620	134	7	analysis	analysis	NOUN
cana-620	134	8	issn	issn	NOUN
cana-620	134	9	:	:	PUNCT
cana-620	134	10	1074	1074	NUM
cana-620	134	11	-	-	PUNCT
cana-620	134	12	133x	133x	NUM
cana-620	134	13	vol	vol	NOUN
cana-620	134	14	31	31	NUM
cana-620	134	15	no	no	NOUN
cana-620	134	16	.	.	PUNCT
cana-620	135	1	2s	2s	NUM
cana-620	135	2	(	(	PUNCT
cana-620	135	3	2024	2024	NUM
cana-620	135	4	)	)	PUNCT
cana-620	135	5	192	192	NUM
cana-620	135	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	135	7	2.4	2.4	NUM
cana-620	135	8	performance	performance	NOUN
cana-620	135	9	analysis	analysis	NOUN
cana-620	135	10	of	of	ADP
cana-620	135	11	improved	improved	ADJ
cana-620	135	12	woa	woa	NOUN
cana-620	135	13	algorithm	algorithm	NOUN
cana-620	135	14	in	in	ADP
cana-620	135	15	this	this	DET
cana-620	135	16	part	part	NOUN
cana-620	135	17	,	,	PUNCT
cana-620	135	18	traditional	traditional	ADJ
cana-620	135	19	test	test	NOUN
cana-620	135	20	functions	function	NOUN
cana-620	135	21	are	be	AUX
cana-620	135	22	used	use	VERB
cana-620	135	23	for	for	ADP
cana-620	135	24	performance	performance	NOUN
cana-620	135	25	evaluation	evaluation	NOUN
cana-620	135	26	of	of	ADP
cana-620	135	27	the	the	DET
cana-620	135	28	wwoa	wwoa	NOUN
cana-620	135	29	,	,	PUNCT
cana-620	135	30	conventional	conventional	ADJ
cana-620	135	31	woa	woa	NOUN
cana-620	135	32	,	,	PUNCT
cana-620	135	33	and	and	CCONJ
cana-620	135	34	genetic	genetic	ADJ
cana-620	135	35	algorithm	algorithm	NOUN
cana-620	135	36	.	.	PUNCT
cana-620	136	1	(	(	PUNCT
cana-620	136	2	ga	ga	PROPN
cana-620	136	3	)	)	PUNCT
cana-620	136	4	.	.	PUNCT
cana-620	137	1	the	the	DET
cana-620	137	2	test	test	NOUN
cana-620	137	3	functions	function	NOUN
cana-620	137	4	are	be	AUX
cana-620	137	5	shown	show	VERB
cana-620	137	6	in	in	ADP
cana-620	137	7	table	table	NOUN
cana-620	137	8	1	1	NUM
cana-620	137	9	,	,	PUNCT
cana-620	137	10	and	and	CCONJ
cana-620	137	11	each	each	PRON
cana-620	137	12	of	of	ADP
cana-620	137	13	their	their	PRON
cana-620	137	14	ideal	ideal	ADJ
cana-620	137	15	values	value	NOUN
cana-620	137	16	is	be	AUX
cana-620	137	17	zero	zero	NUM
cana-620	137	18	.	.	PUNCT
cana-620	138	1	they	they	PRON
cana-620	138	2	include	include	VERB
cana-620	138	3	f1	f1	NOUN
cana-620	138	4	,	,	PUNCT
cana-620	138	5	a	a	DET
cana-620	138	6	unimodal	unimodal	ADJ
cana-620	138	7	function	function	NOUN
cana-620	138	8	that	that	PRON
cana-620	138	9	can	can	AUX
cana-620	138	10	evaluate	evaluate	VERB
cana-620	138	11	the	the	DET
cana-620	138	12	algorithm	algorithm	NOUN
cana-620	138	13	's	's	PART
cana-620	138	14	speed	speed	NOUN
cana-620	138	15	of	of	ADP
cana-620	138	16	convergence	convergence	NOUN
cana-620	138	17	and	and	CCONJ
cana-620	138	18	solution	solution	NOUN
cana-620	138	19	accuracy	accuracy	NOUN
cana-620	138	20	,	,	PUNCT
cana-620	138	21	and	and	CCONJ
cana-620	138	22	f2	f2	PROPN
cana-620	138	23	,	,	PUNCT
cana-620	138	24	a	a	PRON
cana-620	138	25	that	that	SCONJ
cana-620	138	26	the	the	DET
cana-620	138	27	algorithm	algorithm	NOUN
cana-620	138	28	's	's	PART
cana-620	138	29	ability	ability	NOUN
cana-620	138	30	to	to	PART
cana-620	138	31	conduct	conduct	VERB
cana-620	138	32	global	global	ADJ
cana-620	138	33	exploration	exploration	NOUN
cana-620	138	34	is	be	AUX
cana-620	138	35	evaluated	evaluate	VERB
cana-620	138	36	by	by	ADP
cana-620	138	37	the	the	DET
cana-620	138	38	multimodal	multimodal	NOUN
cana-620	138	39	function	function	NOUN
cana-620	138	40	.	.	PUNCT
cana-620	139	1	table	table	NOUN
cana-620	139	2	.	.	PUNCT
cana-620	140	1	1	1	NUM
cana-620	140	2	standard	standard	ADJ
cana-620	140	3	test	test	NOUN
cana-620	140	4	function	function	NOUN
cana-620	140	5	function	function	NOUN
cana-620	140	6	dimension	dimension	NOUN
cana-620	140	7	domain	domain	NOUN
cana-620	140	8	the	the	DET
cana-620	140	9	optimal	optimal	ADJ
cana-620	140	10	value	value	NOUN
cana-620	140	11	𝑓1(𝑥	𝑓1(𝑥	NOUN
cana-620	140	12	)	)	PUNCT
cana-620	140	13	=	=	NOUN
cana-620	140	14	∑	∑	NOUN
cana-620	140	15	  	  	SPACE
cana-620	140	16	𝑁	𝑁	PROPN
cana-620	140	17	𝑖=1	𝑖=1	PROPN
cana-620	140	18	|𝑥𝑖|	|𝑥𝑖|	NOUN
cana-620	140	19	+	+	ADJ
cana-620	140	20	∏	∏	NOUN
cana-620	140	21	  	  	SPACE
cana-620	140	22	𝑁	𝑁	PROPN
cana-620	140	23	𝑖=1	𝑖=1	PROPN
cana-620	140	24	|𝑥𝑖|	|𝑥𝑖|	NOUN
cana-620	140	25	𝑓2(𝑥	𝑓2(𝑥	NOUN
cana-620	140	26	)	)	PUNCT
cana-620	140	27	=	=	SYM
cana-620	141	1	−20exp⁡	−20exp⁡	PROPN
cana-620	141	2	(	(	PUNCT
cana-620	141	3	−0.2√∑	−0.2√∑	VERB
cana-620	141	4	  	  	SPACE
cana-620	141	5	𝑁	𝑁	PROPN
cana-620	141	6	𝑖=1	𝑖=1	PROPN
cana-620	141	7	𝑥𝑖	𝑥𝑖	ADP
cana-620	141	8	2	2	X
cana-620	141	9	)	)	PUNCT
cana-620	141	10	−exp⁡	−exp⁡	NOUN
cana-620	141	11	[	[	PUNCT
cana-620	141	12	1	1	NUM
cana-620	141	13	𝑁	𝑁	PROPN
cana-620	141	14	∑	∑	DET
cana-620	141	15	  	  	SPACE
cana-620	141	16	𝑁	𝑁	PROPN
cana-620	141	17	𝑖=1	𝑖=1	PROPN
cana-620	141	18	cos⁡(2𝜋𝑥𝑖	cos⁡(2𝜋𝑥𝑖	NOUN
cana-620	141	19	)	)	PUNCT
cana-620	141	20	]	]	PUNCT
cana-620	142	1	+	+	CCONJ
cana-620	142	2	20	20	NUM
cana-620	142	3	+	+	CCONJ
cana-620	142	4	𝑒	𝑒	PROPN
cana-620	142	5	30	30	NUM
cana-620	142	6	[	[	X
cana-620	142	7	-10	-10	X
cana-620	142	8	,	,	PUNCT
cana-620	142	9	10	10	NUM
cana-620	142	10	]	]	SYM
cana-620	142	11	0	0	NUM
cana-620	142	12	30	30	NUM
cana-620	143	1	[	[	X
cana-620	143	2	-32	-32	X
cana-620	143	3	,	,	PUNCT
cana-620	143	4	32	32	NUM
cana-620	143	5	]	]	PUNCT
cana-620	143	6	0	0	NUM
cana-620	144	1	the	the	DET
cana-620	144	2	three	three	NUM
cana-620	144	3	methods	method	NOUN
cana-620	144	4	were	be	AUX
cana-620	144	5	independently	independently	ADV
cana-620	144	6	optimised	optimise	VERB
cana-620	144	7	50	50	NUM
cana-620	144	8	times	time	NOUN
cana-620	144	9	for	for	ADP
cana-620	144	10	the	the	DET
cana-620	144	11	standard	standard	ADJ
cana-620	144	12	test	test	NOUN
cana-620	144	13	function	function	NOUN
cana-620	144	14	using	use	VERB
cana-620	144	15	matlab	matlab	PROPN
cana-620	144	16	2020a	2020a	NOUN
cana-620	144	17	,	,	PUNCT
cana-620	144	18	and	and	CCONJ
cana-620	144	19	the	the	DET
cana-620	144	20	average	average	ADJ
cana-620	144	21	value	value	NOUN
cana-620	144	22	and	and	CCONJ
cana-620	144	23	mean	mean	VERB
cana-620	144	24	square	square	ADJ
cana-620	144	25	error	error	NOUN
cana-620	144	26	of	of	ADP
cana-620	144	27	each	each	DET
cana-620	144	28	algorithm	algorithm	NOUN
cana-620	144	29	's	's	PART
cana-620	144	30	optimisation	optimisation	NOUN
cana-620	144	31	skills	skill	NOUN
cana-620	144	32	were	be	AUX
cana-620	144	33	determined	determine	VERB
cana-620	144	34	,	,	PUNCT
cana-620	144	35	as	as	SCONJ
cana-620	144	36	shown	show	VERB
cana-620	144	37	in	in	ADP
cana-620	144	38	table	table	NOUN
cana-620	144	39	2	2	NUM
cana-620	144	40	.	.	PUNCT
cana-620	144	41	as	as	SCONJ
cana-620	144	42	can	can	AUX
cana-620	144	43	be	be	AUX
cana-620	144	44	shown	show	VERB
cana-620	144	45	,	,	PUNCT
cana-620	144	46	the	the	DET
cana-620	144	47	accuracy	accuracy	NOUN
cana-620	144	48	of	of	ADP
cana-620	144	49	the	the	DET
cana-620	144	50	wwoa	wwoa	VERB
cana-620	144	51	algorithm	algorithm	NOUN
cana-620	144	52	while	while	SCONJ
cana-620	144	53	optimising	optimise	VERB
cana-620	144	54	f1	f1	NOUN
cana-620	144	55	is	be	AUX
cana-620	144	56	significantly	significantly	ADV
cana-620	144	57	greater	great	ADJ
cana-620	144	58	than	than	ADP
cana-620	144	59	that	that	PRON
cana-620	144	60	of	of	ADP
cana-620	144	61	the	the	DET
cana-620	144	62	normal	normal	ADJ
cana-620	144	63	woa	woa	NOUN
cana-620	144	64	method	method	NOUN
cana-620	144	65	and	and	CCONJ
cana-620	144	66	the	the	DET
cana-620	144	67	ga	ga	PROPN
cana-620	144	68	algorithm	algorithm	NOUN
cana-620	144	69	;	;	PUNCT
cana-620	144	70	when	when	SCONJ
cana-620	144	71	optimizing	optimize	VERB
cana-620	144	72	f2	f2	PRON
cana-620	144	73	,	,	PUNCT
cana-620	144	74	although	although	SCONJ
cana-620	144	75	the	the	DET
cana-620	144	76	optimization	optimization	NOUN
cana-620	144	77	accuracy	accuracy	NOUN
cana-620	144	78	is	be	AUX
cana-620	144	79	not	not	PART
cana-620	144	80	much	much	ADV
cana-620	144	81	different	different	ADJ
cana-620	144	82	,	,	PUNCT
cana-620	144	83	even	even	ADV
cana-620	144	84	slightly	slightly	ADV
cana-620	144	85	lower	low	ADJ
cana-620	144	86	than	than	ADP
cana-620	144	87	standard	standard	ADJ
cana-620	144	88	woa	woa	NOUN
cana-620	144	89	,	,	PUNCT
cana-620	144	90	however	however	ADV
cana-620	144	91	,	,	PUNCT
cana-620	144	92	the	the	DET
cana-620	144	93	mean	mean	ADJ
cana-620	144	94	square	square	ADJ
cana-620	144	95	error	error	NOUN
cana-620	144	96	of	of	ADP
cana-620	144	97	optimization	optimization	NOUN
cana-620	144	98	is	be	AUX
cana-620	144	99	smaller	small	ADJ
cana-620	144	100	than	than	ADP
cana-620	144	101	that	that	PRON
cana-620	144	102	of	of	ADP
cana-620	144	103	woa	woa	PROPN
cana-620	144	104	and	and	CCONJ
cana-620	144	105	ga	ga	PROPN
cana-620	144	106	,	,	PUNCT
cana-620	144	107	indicating	indicate	VERB
cana-620	144	108	that	that	SCONJ
cana-620	144	109	the	the	DET
cana-620	144	110	algorithms	algorithms	NOUN
cana-620	144	111	stability	stability	NOUN
cana-620	144	112	is	be	AUX
cana-620	144	113	better	well	ADJ
cana-620	144	114	.	.	PUNCT
cana-620	145	1	table	table	NOUN
cana-620	145	2	.	.	PUNCT
cana-620	146	1	2	2	NUM
cana-620	147	1	the	the	DET
cana-620	147	2	optimized	optimize	VERB
cana-620	147	3	mean	mean	NOUN
cana-620	147	4	square	square	ADJ
cana-620	147	5	error	error	NOUN
cana-620	147	6	and	and	CCONJ
cana-620	147	7	mean	mean	ADJ
cana-620	147	8	value	value	NOUN
cana-620	147	9	of	of	ADP
cana-620	147	10	3	3	NUM
cana-620	147	11	algorithms	algorithms	NOUN
cana-620	147	12	statistical	statistical	ADJ
cana-620	147	13	results	result	NOUN
cana-620	147	14	algorithm	algorithm	NOUN
cana-620	147	15	f1	f1	NOUN
cana-620	147	16	f2	f2	PROPN
cana-620	147	17	average	average	ADJ
cana-620	147	18	value	value	NOUN
cana-620	147	19	wwoa	wwoa	VERB
cana-620	147	20	1.15	1.15	NUM
cana-620	147	21	x	x	SYM
cana-620	147	22	10	10	NUM
cana-620	147	23	-	-	SYM
cana-620	147	24	35	35	NUM
cana-620	147	25	2.64	2.64	NUM
cana-620	147	26	woa	woa	VERB
cana-620	147	27	2.17	2.17	NUM
cana-620	147	28	x	x	SYM
cana-620	147	29	10	10	NUM
cana-620	147	30	-	-	SYM
cana-620	147	31	28	28	NUM
cana-620	147	32	1.86	1.86	NUM
cana-620	147	33	ga	ga	NOUN
cana-620	147	34	6.07	6.07	NUM
cana-620	147	35	x	x	SYM
cana-620	147	36	10	10	NUM
cana-620	147	37	-	-	SYM
cana-620	147	38	13	13	NUM
cana-620	148	1	5.42e	5.42e	NUM
cana-620	148	2	mean	mean	NOUN
cana-620	148	3	square	square	ADJ
cana-620	148	4	error	error	NOUN
cana-620	148	5	wwoa	wwoa	VERB
cana-620	148	6	2.55	2.55	NUM
cana-620	148	7	x	x	SYM
cana-620	148	8	10	10	NUM
cana-620	148	9	-	-	SYM
cana-620	148	10	34	34	NUM
cana-620	148	11	1.14	1.14	NUM
cana-620	148	12	woa	woa	VERB
cana-620	148	13	7.83	7.83	NUM
cana-620	148	14	x	x	SYM
cana-620	148	15	10	10	NUM
cana-620	148	16	-	-	SYM
cana-620	148	17	26	26	NUM
cana-620	148	18	9.57	9.57	NUM
cana-620	148	19	ga	ga	PROPN
cana-620	148	20	4.99	4.99	NUM
cana-620	148	21	x	x	SYM
cana-620	148	22	10	10	NUM
cana-620	148	23	-	-	SYM
cana-620	148	24	11	11	NUM
cana-620	148	25	18.7	18.7	NUM
cana-620	148	26	the	the	DET
cana-620	148	27	convergence	convergence	NOUN
cana-620	148	28	curve	curve	NOUN
cana-620	148	29	is	be	AUX
cana-620	148	30	a	a	DET
cana-620	148	31	crucial	crucial	ADJ
cana-620	148	32	metric	metric	NOUN
cana-620	148	33	for	for	ADP
cana-620	148	34	assessing	assess	VERB
cana-620	148	35	the	the	DET
cana-620	148	36	effectiveness	effectiveness	NOUN
cana-620	148	37	of	of	ADP
cana-620	148	38	the	the	DET
cana-620	148	39	algorithm	algorithm	NOUN
cana-620	148	40	.	.	PUNCT
cana-620	149	1	when	when	SCONJ
cana-620	149	2	solving	solving	NOUN
cana-620	149	3	functions	function	NOUN
cana-620	149	4	,	,	PUNCT
cana-620	149	5	the	the	DET
cana-620	149	6	convergence	convergence	NOUN
cana-620	149	7	curve	curve	NOUN
cana-620	149	8	allows	allow	VERB
cana-620	149	9	for	for	ADP
cana-620	149	10	analysis	analysis	NOUN
cana-620	149	11	of	of	ADP
cana-620	149	12	the	the	DET
cana-620	149	13	algorithm	algorithm	NOUN
cana-620	149	14	's	's	PART
cana-620	149	15	convergence	convergence	NOUN
cana-620	149	16	speed	speed	NOUN
cana-620	149	17	,	,	PUNCT
cana-620	149	18	communications	communication	NOUN
cana-620	149	19	on	on	ADP
cana-620	149	20	applied	apply	VERB
cana-620	149	21	nonlinear	nonlinear	ADJ
cana-620	149	22	analysis	analysis	NOUN
cana-620	149	23	issn	issn	NOUN
cana-620	149	24	:	:	PUNCT
cana-620	149	25	1074	1074	NUM
cana-620	149	26	-	-	PUNCT
cana-620	149	27	133x	133x	NUM
cana-620	149	28	vol	vol	NOUN
cana-620	149	29	31	31	NUM
cana-620	149	30	no	no	NOUN
cana-620	149	31	.	.	PUNCT
cana-620	150	1	2s	2s	NUM
cana-620	150	2	(	(	PUNCT
cana-620	150	3	2024	2024	NUM
cana-620	150	4	)	)	PUNCT
cana-620	150	5	193	193	NUM
cana-620	150	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	150	7	solution	solution	NOUN
cana-620	150	8	correctness	correctness	NOUN
cana-620	150	9	,	,	PUNCT
cana-620	150	10	and	and	CCONJ
cana-620	150	11	global	global	ADJ
cana-620	150	12	search	search	NOUN
cana-620	150	13	capability	capability	NOUN
cana-620	150	14	.	.	PUNCT
cana-620	151	1	figure	figure	NOUN
cana-620	151	2	3	3	NUM
cana-620	151	3	depicts	depict	VERB
cana-620	151	4	the	the	DET
cana-620	151	5	application	application	NOUN
cana-620	151	6	of	of	ADP
cana-620	151	7	three	three	NUM
cana-620	151	8	methods	method	NOUN
cana-620	151	9	in	in	ADP
cana-620	151	10	turn	turn	NOUN
cana-620	151	11	.	.	PUNCT
cana-620	152	1	when	when	SCONJ
cana-620	152	2	the	the	DET
cana-620	152	3	test	test	NOUN
cana-620	152	4	function	function	NOUN
cana-620	152	5	's	's	PART
cana-620	152	6	convergence	convergence	NOUN
cana-620	152	7	curve	curve	NOUN
cana-620	152	8	graph	graph	NOUN
cana-620	152	9	is	be	AUX
cana-620	152	10	solved	solve	VERB
cana-620	152	11	,	,	PUNCT
cana-620	152	12	the	the	DET
cana-620	152	13	following	follow	VERB
cana-620	152	14	properties	property	NOUN
cana-620	152	15	of	of	ADP
cana-620	152	16	wwoa	wwoa	NOUN
cana-620	152	17	are	be	AUX
cana-620	152	18	evident	evident	ADJ
cana-620	152	19	:	:	PUNCT
cana-620	152	20	the	the	DET
cana-620	152	21	algorithm	algorithm	NOUN
cana-620	152	22	's	's	PART
cana-620	152	23	high	high	ADJ
cana-620	152	24	solution	solution	NOUN
cana-620	152	25	accuracy	accuracy	NOUN
cana-620	152	26	can	can	AUX
cana-620	152	27	be	be	AUX
cana-620	152	28	seen	see	VERB
cana-620	152	29	by	by	ADP
cana-620	152	30	the	the	DET
cana-620	152	31	quicker	quick	ADJ
cana-620	152	32	convergence	convergence	NOUN
cana-620	152	33	speed	speed	NOUN
cana-620	152	34	and	and	CCONJ
cana-620	152	35	low	low	ADJ
cana-620	152	36	convergence	convergence	NOUN
cana-620	152	37	value	value	NOUN
cana-620	152	38	;	;	PUNCT
cana-620	152	39	also	also	ADV
cana-620	152	40	,	,	PUNCT
cana-620	152	41	the	the	DET
cana-620	152	42	convergence	convergence	NOUN
cana-620	152	43	curve	curve	NOUN
cana-620	152	44	's	's	PART
cana-620	152	45	inflection	inflection	NOUN
cana-620	152	46	point	point	NOUN
cana-620	152	47	demonstrates	demonstrate	VERB
cana-620	152	48	a	a	DET
cana-620	152	49	higher	high	ADJ
cana-620	152	50	capacity	capacity	NOUN
cana-620	152	51	for	for	ADP
cana-620	152	52	global	global	ADJ
cana-620	152	53	search	search	NOUN
cana-620	152	54	.	.	PUNCT
cana-620	153	1	2.5	2.5	NUM
cana-620	153	2	energy	energy	NOUN
cana-620	153	3	storage	storage	NOUN
cana-620	153	4	optimal	optimal	ADJ
cana-620	153	5	configuration	configuration	NOUN
cana-620	153	6	process	process	NOUN
cana-620	153	7	the	the	DET
cana-620	153	8	wind	wind	NOUN
cana-620	153	9	-	-	PUNCT
cana-620	153	10	light	light	NOUN
cana-620	153	11	-	-	PUNCT
cana-620	153	12	fire	fire	NOUN
cana-620	153	13	-	-	PUNCT
cana-620	153	14	storage	storage	NOUN
cana-620	153	15	multi	multi	ADJ
cana-620	153	16	-	-	ADJ
cana-620	153	17	energy	energy	ADJ
cana-620	153	18	system	system	NOUN
cana-620	153	19	's	's	PART
cana-620	153	20	configuration	configuration	NOUN
cana-620	153	21	method	method	NOUN
cana-620	153	22	for	for	ADP
cana-620	153	23	energy	energy	NOUN
cana-620	153	24	storage	storage	NOUN
cana-620	153	25	optimisation	optimisation	NOUN
cana-620	153	26	is	be	AUX
cana-620	153	27	shown	show	VERB
cana-620	153	28	in	in	ADP
cana-620	153	29	figure	figure	NOUN
cana-620	153	30	2	2	NUM
cana-620	153	31	.	.	PUNCT
cana-620	153	32	by	by	ADP
cana-620	153	33	using	use	VERB
cana-620	153	34	wwoa	wwoa	VERB
cana-620	153	35	generation	generation	NOUN
cana-620	153	36	to	to	PART
cana-620	153	37	solve	solve	VERB
cana-620	153	38	the	the	DET
cana-620	153	39	configuration	configuration	NOUN
cana-620	153	40	algorithm	algorithm	NOUN
cana-620	153	41	,	,	PUNCT
cana-620	153	42	the	the	DET
cana-620	153	43	best	good	ADJ
cana-620	153	44	site	site	NOUN
cana-620	153	45	and	and	CCONJ
cana-620	153	46	capacity	capacity	NOUN
cana-620	153	47	for	for	ADP
cana-620	153	48	the	the	DET
cana-620	153	49	energy	energy	NOUN
cana-620	153	50	storage	storage	NOUN
cana-620	153	51	power	power	NOUN
cana-620	153	52	station	station	NOUN
cana-620	153	53	are	be	AUX
cana-620	153	54	ultimately	ultimately	ADV
cana-620	153	55	determined	determine	VERB
cana-620	153	56	.	.	PUNCT
cana-620	154	1	communications	communication	NOUN
cana-620	154	2	on	on	ADP
cana-620	154	3	applied	apply	VERB
cana-620	154	4	nonlinear	nonlinear	ADJ
cana-620	154	5	analysis	analysis	NOUN
cana-620	154	6	issn	issn	NOUN
cana-620	154	7	:	:	PUNCT
cana-620	154	8	1074	1074	NUM
cana-620	154	9	-	-	PUNCT
cana-620	154	10	133x	133x	NUM
cana-620	154	11	vol	vol	NOUN
cana-620	154	12	31	31	NUM
cana-620	154	13	no	no	NOUN
cana-620	154	14	.	.	PUNCT
cana-620	155	1	2s	2s	NUM
cana-620	155	2	(	(	PUNCT
cana-620	155	3	2024	2024	NUM
cana-620	155	4	)	)	PUNCT
cana-620	155	5	194	194	NUM
cana-620	155	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-620	155	7	figure	figure	NOUN
cana-620	155	8	.	.	PUNCT
cana-620	156	1	2	2	NUM
cana-620	156	2	flow	flow	NOUN
cana-620	156	3	chart	chart	NOUN
cana-620	156	4	of	of	ADP
cana-620	156	5	configuration	configuration	NOUN
cana-620	156	6	of	of	ADP
cana-620	156	7	energy	energy	NOUN
cana-620	156	8	storage	storage	NOUN
cana-620	156	9	start	start	NOUN
cana-620	156	10	enter	enter	VERB
cana-620	156	11	the	the	DET
cana-620	156	12	multifunctional	multifunctional	ADJ
cana-620	156	13	system	system	NOUN
cana-620	156	14	architecture	architecture	NOUN
cana-620	156	15	given	give	VERB
cana-620	156	16	wind	wind	NOUN
cana-620	156	17	fire	fire	NOUN
cana-620	156	18	power	power	NOUN
cana-620	156	19	given	give	VERB
cana-620	156	20	the	the	DET
cana-620	156	21	initial	initial	ADJ
cana-620	156	22	value	value	NOUN
cana-620	156	23	of	of	ADP
cana-620	156	24	energy	energy	NOUN
cana-620	156	25	storage	storage	NOUN
cana-620	156	26	configuration	configuration	NOUN
cana-620	156	27	update	update	NOUN
cana-620	156	28	energy	energy	NOUN
cana-620	156	29	capacity	capacity	NOUN
cana-620	156	30	,	,	PUNCT
cana-620	156	31	site	site	NOUN
cana-620	156	32	selection	selection	NOUN
cana-620	156	33	power	power	NOUN
cana-620	156	34	system	system	NOUN
cana-620	156	35	power	power	NOUN
cana-620	156	36	flow	flow	NOUN
cana-620	156	37	calculation	calculation	NOUN
cana-620	156	38	wwoa	wwoa	VERB
cana-620	156	39	solution	solution	NOUN
cana-620	156	40	dance	dance	NOUN
cana-620	156	41	objective	objective	ADJ
cana-620	156	42	function	function	NOUN
cana-620	156	43	is	be	AUX
cana-620	156	44	the	the	DET
cana-620	156	45	termination	termination	NOUN
cana-620	156	46	condition	condition	NOUN
cana-620	156	47	met	meet	VERB
cana-620	156	48	?	?	PUNCT
cana-620	157	1	whether	whether	SCONJ
cana-620	157	2	to	to	PART
cana-620	157	3	reach	reach	VERB
cana-620	157	4	the	the	DET
cana-620	157	5	maximum	maximum	ADJ
cana-620	157	6	number	number	NOUN
cana-620	157	7	of	of	ADP
cana-620	157	8	iterations	iteration	NOUN
cana-620	157	9	?	?	PUNCT
cana-620	158	1	output	output	NOUN
cana-620	158	2	optimal	optimal	ADJ
cana-620	158	3	capacity	capacity	NOUN
cana-620	158	4	,	,	PUNCT
cana-620	158	5	location	location	NOUN
cana-620	158	6	finish	finish	NOUN
cana-620	159	1	yes	yes	INTJ
cana-620	160	1	yes	yes	INTJ
cana-620	160	2	no	no	INTJ
cana-620	161	1	no	no	DET
cana-620	161	2	communications	communication	NOUN
cana-620	161	3	on	on	ADP
cana-620	161	4	applied	apply	VERB
cana-620	161	5	nonlinear	nonlinear	ADJ
cana-620	161	6	analysis	analysis	NOUN
cana-620	161	7	issn	issn	NOUN
cana-620	161	8	:	:	PUNCT
cana-620	161	9	1074	1074	NUM
cana-620	161	10	-	-	PUNCT
cana-620	161	11	133x	133x	NUM
cana-620	161	12	vol	vol	NOUN
cana-620	161	13	31	31	NUM
cana-620	161	14	no	no	NOUN
cana-620	161	15	.	.	PUNCT
cana-620	162	1	2s	2s	NUM
cana-620	162	2	(	(	PUNCT
cana-620	162	3	2024	2024	NUM
cana-620	162	4	)	)	PUNCT
cana-620	162	5	195	195	NUM
cana-620	162	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-620	162	7	2.6	2.6	NUM
cana-620	162	8	.	.	PUNCT
cana-620	162	9	weighted	weight	VERB
cana-620	162	10	extreme	extreme	ADJ
cana-620	162	11	learning	learning	NOUN
cana-620	162	12	machine	machine	NOUN
cana-620	162	13	based	base	VERB
cana-620	162	14	on	on	ADP
cana-620	162	15	elm	elm	PROPN
cana-620	162	16	,	,	PUNCT
cana-620	162	17	this	this	DET
cana-620	162	18	paper	paper	NOUN
cana-620	162	19	establishes	establish	VERB
cana-620	162	20	a	a	DET
cana-620	162	21	weighted	weight	VERB
cana-620	162	22	extreme	extreme	ADJ
cana-620	162	23	learning	learning	NOUN
cana-620	162	24	machine	machine	NOUN
cana-620	162	25	classification	classification	NOUN
cana-620	162	26	model	model	NOUN
cana-620	162	27	.	.	PUNCT
cana-620	163	1	the	the	DET
cana-620	163	2	elm	elm	PROPN
cana-620	163	3	model	model	NOUN
cana-620	163	4	network	network	NOUN
cana-620	163	5	structure	structure	NOUN
cana-620	163	6	is	be	AUX
cana-620	163	7	shown	show	VERB
cana-620	163	8	in	in	ADP
cana-620	163	9	figure	figure	NOUN
cana-620	163	10	1	1	NUM
cana-620	163	11	.	.	PUNCT
cana-620	164	1	in	in	ADP
cana-620	164	2	figure	figure	NOUN
cana-620	164	3	1	1	NUM
cana-620	164	4	,	,	PUNCT
cana-620	164	5	suppose	suppose	VERB
cana-620	164	6	given	give	VERB
cana-620	164	7	n	n	PRON
cana-620	164	8	training	training	NOUN
cana-620	164	9	samples	sample	NOUN
cana-620	164	10	{	{	PUNCT
cana-620	164	11	𝑥𝑖	𝑥𝑖	X
cana-620	164	12	,	,	PUNCT
cana-620	164	13	𝑡𝑖}𝑖=1	𝑡𝑖}𝑖=1	VERB
cana-620	164	14	𝑁	𝑁	PROPN
cana-620	164	15	,	,	PUNCT
cana-620	164	16	xi=[xi1,xi2,	xi=[xi1,xi2,	PROPN
cana-620	164	17	…	…	X
cana-620	164	18	,xin	,xin	X
cana-620	164	19	]	]	PUNCT
cana-620	164	20	t	t	PROPN
cana-620	164	21	є	є	PROPN
cana-620	164	22	rn	rn	PROPN
cana-620	164	23	,	,	PUNCT
cana-620	164	24	ti=[ti1,ti2,	ti=[ti1,ti2,	X
cana-620	164	25	…	…	PUNCT
cana-620	164	26	,tin	,tin	PRON
cana-620	164	27	]	]	PUNCT
cana-620	164	28	t	t	PROPN
cana-620	164	29	є	є	PROPN
cana-620	164	30	rm	rm	PROPN
cana-620	164	31	,	,	PUNCT
cana-620	164	32	where	where	SCONJ
cana-620	164	33	n	n	X
cana-620	164	34	is	be	AUX
cana-620	164	35	the	the	DET
cana-620	164	36	number	number	NOUN
cana-620	164	37	of	of	ADP
cana-620	164	38	features	feature	NOUN
cana-620	164	39	of	of	ADP
cana-620	164	40	the	the	DET
cana-620	164	41	sample	sample	NOUN
cana-620	164	42	,	,	PUNCT
cana-620	164	43	m	m	VERB
cana-620	164	44	is	be	AUX
cana-620	164	45	the	the	DET
cana-620	164	46	number	number	NOUN
cana-620	164	47	of	of	ADP
cana-620	164	48	categories	category	NOUN
cana-620	164	49	of	of	ADP
cana-620	164	50	the	the	DET
cana-620	164	51	sample	sample	NOUN
cana-620	164	52	.	.	PUNCT
cana-620	165	1	a	a	DET
cana-620	165	2	feedforward	feedforward	ADJ
cana-620	165	3	neural	neural	ADJ
cana-620	165	4	network	network	NOUN
cana-620	165	5	output	output	NOUN
cana-620	165	6	model	model	NOUN
cana-620	165	7	with	with	ADP
cana-620	165	8	l	l	NOUN
cana-620	165	9	hidden	hide	VERB
cana-620	165	10	layer	layer	NOUN
cana-620	165	11	expressed	express	VERB
cana-620	165	12	nodes	node	NOUN
cana-620	165	13	as	as	SCONJ
cana-620	165	14	follows	follow	VERB
cana-620	165	15	:	:	PUNCT
cana-620	165	16	∑𝛽ℎ𝐺(𝑎ℎ	∑𝛽ℎ𝐺(𝑎ℎ	X
cana-620	165	17	,	,	PUNCT
cana-620	165	18	𝑏ℎ	𝑏ℎ	NOUN
cana-620	165	19	,	,	PUNCT
cana-620	165	20	𝑥𝑖	𝑥𝑖	PROPN
cana-620	165	21	)	)	PUNCT
cana-620	165	22	=	=	SYM
cana-620	166	1	⁡	⁡	VERB
cana-620	166	2	𝑡𝑖,𝑖=1,2,	𝑡𝑖,𝑖=1,2,	NOUN
cana-620	166	3	…	…	SYM
cana-620	166	4	,𝑁	,𝑁	PUNCT
cana-620	166	5	𝐿	𝐿	PROPN
cana-620	166	6	ℎ=1	ℎ=1	PROPN
cana-620	166	7	⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡(8	⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡(8	PROPN
cana-620	166	8	)	)	PUNCT
cana-620	166	9	where	where	SCONJ
cana-620	166	10	:	:	PUNCT
cana-620	166	11	hth	hth	NUM
cana-620	166	12	hidden	hide	VERB
cana-620	166	13	layer	layer	NOUN
cana-620	166	14	neurons	neuron	NOUN
cana-620	166	15	output	output	VERB
cana-620	166	16	weight	weight	NOUN
cana-620	166	17	βh	βh	ADP
cana-620	166	18	;	;	PUNCT
cana-620	166	19	g	g	PROPN
cana-620	166	20	is	be	AUX
cana-620	166	21	the	the	DET
cana-620	166	22	neurons	neuron	NOUN
cana-620	166	23	activation	activation	NOUN
cana-620	166	24	function	function	NOUN
cana-620	166	25	of	of	ADP
cana-620	166	26	hidden	hide	VERB
cana-620	166	27	layer	layer	NOUN
cana-620	166	28	;	;	PUNCT
cana-620	166	29	ah	ah	INTJ
cana-620	166	30	,	,	PUNCT
cana-620	166	31	bh	bh	PROPN
cana-620	166	32	respectively	respectively	ADV
cana-620	166	33	h	h	PROPN
cana-620	166	34	individual	individual	ADJ
cana-620	166	35	input	input	NOUN
cana-620	166	36	weights	weight	NOUN
cana-620	166	37	and	and	CCONJ
cana-620	166	38	biases	bias	NOUN
cana-620	166	39	of	of	ADP
cana-620	166	40	hidden	hide	VERB
cana-620	166	41	layer	layer	NOUN
cana-620	166	42	neurons	neuron	NOUN
cana-620	166	43	;	;	PUNCT
cana-620	166	44	x	x	X
cana-620	166	45	is	be	AUX
cana-620	166	46	the	the	DET
cana-620	166	47	input	input	NOUN
cana-620	166	48	sample	sample	NOUN
cana-620	166	49	,	,	PUNCT
cana-620	166	50	oi	oi	INTJ
cana-620	166	51	for	for	ADP
cana-620	166	52	the	the	DET
cana-620	166	53	first	first	ADJ
cana-620	166	54	the	the	DET
cana-620	166	55	actual	actual	ADJ
cana-620	166	56	output	output	NOUN
cana-620	166	57	value	value	NOUN
cana-620	166	58	of	of	ADP
cana-620	166	59	i	i	PRON
cana-620	166	60	training	train	VERB
cana-620	166	61	samples	sample	NOUN
cana-620	166	62	;	;	PUNCT
cana-620	166	63	ti	ti	X
cana-620	166	64	for	for	ADP
cana-620	166	65	the	the	DET
cana-620	166	66	first	first	ADJ
cana-620	166	67	expected	expect	VERB
cana-620	166	68	output	output	NOUN
cana-620	166	69	for	for	ADP
cana-620	166	70	i	i	PRON
cana-620	166	71	training	training	NOUN
cana-620	166	72	samples	sample	NOUN
cana-620	166	73	.	.	PUNCT
cana-620	167	1	figure	figure	NOUN
cana-620	167	2	3	3	NUM
cana-620	167	3	.	.	PUNCT
cana-620	167	4	basic	basic	ADJ
cana-620	167	5	structure	structure	NOUN
cana-620	167	6	diagram	diagram	NOUN
cana-620	167	7	of	of	ADP
cana-620	167	8	single	single	ADJ
cana-620	167	9	hidden	hide	VERB
cana-620	167	10	layer	layer	NOUN
cana-620	167	11	feed	feed	VERB
cana-620	167	12	forward	forward	ADV
cana-620	167	13	neural	neural	ADJ
cana-620	167	14	network	network	NOUN
cana-620	167	15	for	for	ADP
cana-620	167	16	a	a	DET
cana-620	167	17	quantity	quantity	NOUN
cana-620	167	18	of	of	ADP
cana-620	167	19	n	n	PRON
cana-620	167	20	training	training	NOUN
cana-620	167	21	samples	sample	NOUN
cana-620	167	22	,	,	PUNCT
cana-620	167	23	{	{	PUNCT
cana-620	167	24	𝑥𝑖	𝑥𝑖	PROPN
cana-620	167	25	,	,	PUNCT
cana-620	167	26	𝑡𝑖}𝑖=1	𝑡𝑖}𝑖=1	NOUN
cana-620	167	27	𝑁	𝑁	PROPN
cana-620	167	28	,	,	PUNCT
cana-620	167	29	𝑥𝑖є𝑅	𝑥𝑖є𝑅	ADP
cana-620	167	30	𝑛	𝑛	ADJ
cana-620	167	31	there	there	PRON
cana-620	167	32	exists	exist	VERB
cana-620	167	33	a	a	DET
cana-620	167	34	(	(	PUNCT
cana-620	167	35	ab	ab	PROPN
cana-620	167	36	,	,	PUNCT
cana-620	167	37	bh	bh	NOUN
cana-620	167	38	)	)	PUNCT
cana-620	167	39	and	and	CCONJ
cana-620	167	40	𝛽ℎ	𝛽ℎ	ADP
cana-620	167	41	with	with	ADP
cana-620	167	42	∑	∑	PART
cana-620	167	43	‖𝑜𝑖	‖𝑜𝑖	PROPN
cana-620	167	44	−	−	PROPN
cana-620	167	45	𝐿	𝐿	PROPN
cana-620	167	46	𝑖=1	𝑖=1	PROPN
cana-620	167	47	𝑡𝑖‖	𝑡𝑖‖	NOUN
cana-620	167	48	=	=	SYM
cana-620	167	49	0	0	NUM
cana-620	167	50	,	,	PUNCT
cana-620	167	51	so	so	SCONJ
cana-620	167	52	that	that	SCONJ
cana-620	167	53	the	the	DET
cana-620	167	54	training	training	NOUN
cana-620	167	55	set	set	NOUN
cana-620	167	56	may	may	AUX
cana-620	167	57	be	be	AUX
cana-620	167	58	approximated	approximate	VERB
cana-620	167	59	by	by	ADP
cana-620	167	60	the	the	DET
cana-620	167	61	feed	feed	NOUN
cana-620	167	62	forward	forward	ADV
cana-620	167	63	single	single	ADJ
cana-620	167	64	-	-	PUNCT
cana-620	167	65	hidden	hide	VERB
cana-620	167	66	layer	layer	NOUN
cana-620	167	67	neural	neural	ADJ
cana-620	167	68	network	network	NOUN
cana-620	167	69	model	model	NOUN
cana-620	167	70	with	with	ADP
cana-620	167	71	zero	zero	NUM
cana-620	167	72	error	error	NOUN
cana-620	167	73	.	.	PUNCT
cana-620	168	1	{	{	PUNCT
cana-620	168	2	𝑥𝑖	𝑥𝑖	PROPN
cana-620	168	3	,	,	PUNCT
cana-620	168	4	𝑡𝑖}𝑖=1	𝑡𝑖}𝑖=1	NOUN
cana-620	168	5	𝑁	𝑁	PROPN
cana-620	168	6	,	,	PUNCT
cana-620	168	7	𝑥𝑖є𝑅	𝑥𝑖є𝑅	ADP
cana-620	168	8	𝑛	𝑛	PRON
cana-620	168	9	which	which	PRON
cana-620	168	10	is	be	AUX
cana-620	168	11	,	,	PUNCT
cana-620	168	12	∑	∑	ADV
cana-620	168	13	𝛽ℎ𝐺(𝑎ℎ	𝛽ℎ𝐺(𝑎ℎ	NOUN
cana-620	168	14	,	,	PUNCT
cana-620	168	15	𝑏ℎ	𝑏ℎ	NOUN
cana-620	168	16	,	,	PUNCT
cana-620	168	17	𝑥𝑖	𝑥𝑖	PROPN
cana-620	168	18	)	)	PUNCT
cana-620	168	19	=	=	SYM
cana-620	168	20	⁡	⁡	VERB
cana-620	168	21	𝑡𝑖,𝑖=1,2,	𝑡𝑖,𝑖=1,2,	NOUN
cana-620	168	22	…	…	SYM
cana-620	168	23	,𝑁	,𝑁	PUNCT
cana-620	168	24	𝐿	𝐿	NOUN
cana-620	168	25	ℎ=1	ℎ=1	PROPN
cana-620	168	26	(	(	PUNCT
cana-620	168	27	9	9	X
cana-620	168	28	)	)	PUNCT
cana-620	168	29	the	the	DET
cana-620	168	30	equation	equation	NOUN
cana-620	168	31	can	can	AUX
cana-620	168	32	be	be	AUX
cana-620	168	33	further	far	ADV
cana-620	168	34	simplified	simplify	VERB
cana-620	168	35	as	as	ADP
cana-620	168	36	:	:	PUNCT
cana-620	168	37	hβ	hβ	PROPN
cana-620	168	38	=	=	NOUN
cana-620	168	39	t.	t.	NOUN
cana-620	168	40	where	where	SCONJ
cana-620	168	41	t	t	PROPN
cana-620	168	42	is	be	AUX
cana-620	168	43	the	the	DET
cana-620	168	44	anticipated	anticipate	VERB
cana-620	168	45	output	output	NOUN
cana-620	168	46	matrix	matrix	NOUN
cana-620	168	47	corresponding	correspond	VERB
cana-620	168	48	to	to	ADP
cana-620	168	49	the	the	DET
cana-620	168	50	training	training	NOUN
cana-620	168	51	samples	sample	NOUN
cana-620	168	52	;	;	PUNCT
cana-620	168	53	h	h	NOUN
cana-620	168	54	is	be	AUX
cana-620	168	55	the	the	DET
cana-620	168	56	hidden	hide	VERB
cana-620	168	57	layers	layer	NOUN
cana-620	168	58	output	output	NOUN
cana-620	168	59	matrix	matrix	NOUN
cana-620	168	60	;	;	PUNCT
cana-620	168	61	β	β	X
cana-620	168	62	is	be	AUX
cana-620	168	63	the	the	DET
cana-620	168	64	hidden	hide	VERB
cana-620	168	65	layer	layer	NOUN
cana-620	168	66	matrix	matrix	NOUN
cana-620	168	67	output	output	NOUN
cana-620	168	68	weight	weight	NOUN
cana-620	168	69	.	.	PUNCT
cana-620	169	1	the	the	DET
cana-620	169	2	input	input	NOUN
cana-620	169	3	weights	weight	VERB
cana-620	169	4	ah	ah	INTJ
cana-620	169	5	of	of	ADP
cana-620	169	6	the	the	DET
cana-620	169	7	hidden	hide	VERB
cana-620	169	8	layer	layer	NOUN
cana-620	169	9	and	and	CCONJ
cana-620	169	10	the	the	DET
cana-620	169	11	bias	bias	NOUN
cana-620	169	12	bh	bh	NOUN
cana-620	169	13	of	of	ADP
cana-620	169	14	the	the	DET
cana-620	169	15	hidden	hide	VERB
cana-620	169	16	layer	layer	NOUN
cana-620	169	17	are	be	AUX
cana-620	169	18	produced	produce	VERB
cana-620	169	19	at	at	ADP
cana-620	169	20	random	random	ADJ
cana-620	169	21	when	when	SCONJ
cana-620	169	22	the	the	DET
cana-620	169	23	network	network	NOUN
cana-620	169	24	parameters	parameter	NOUN
cana-620	169	25	are	be	AUX
cana-620	169	26	initialised	initialise	VERB
cana-620	169	27	during	during	ADP
cana-620	169	28	the	the	DET
cana-620	169	29	training	training	NOUN
cana-620	169	30	phase	phase	NOUN
cana-620	169	31	of	of	ADP
cana-620	169	32	elm	elm	NOUN
cana-620	169	33	,	,	PUNCT
cana-620	169	34	and	and	CCONJ
cana-620	169	35	they	they	PRON
cana-620	169	36	remain	remain	VERB
cana-620	169	37	constant	constant	ADJ
cana-620	169	38	throughout	throughout	ADP
cana-620	169	39	the	the	DET
cana-620	169	40	training	training	NOUN
cana-620	169	41	and	and	CCONJ
cana-620	169	42	testing	testing	NOUN
cana-620	169	43	processes	process	NOUN
cana-620	169	44	.	.	PUNCT
cana-620	170	1	the	the	DET
cana-620	170	2	whole	whole	ADJ
cana-620	170	3	training	training	NOUN
cana-620	170	4	procedure	procedure	NOUN
cana-620	170	5	is	be	AUX
cana-620	170	6	to	to	PART
cana-620	170	7	acquire	acquire	VERB
cana-620	170	8	the	the	DET
cana-620	170	9	output	output	NOUN
cana-620	170	10	weight	weight	NOUN
cana-620	170	11	matrix	matrix	NOUN
cana-620	170	12	hidden	hide	VERB
cana-620	170	13	layer	layer	NOUN
cana-620	170	14	in	in	ADP
cana-620	170	15	the	the	DET
cana-620	170	16	elm	elm	NOUN
cana-620	170	17	model	model	NOUN
cana-620	170	18	in	in	ADP
cana-620	170	19	order	order	NOUN
cana-620	170	20	to	to	PART
cana-620	170	21	create	create	VERB
cana-620	170	22	an	an	DET
cana-620	170	23	entire	entire	ADJ
cana-620	170	24	classification	classification	NOUN
cana-620	170	25	model	model	NOUN
cana-620	170	26	since	since	SCONJ
cana-620	170	27	the	the	DET
cana-620	170	28	input	input	NOUN
cana-620	170	29	training	training	NOUN
cana-620	170	30	samples	sample	NOUN
cana-620	170	31	,	,	PUNCT
cana-620	170	32	biases	bias	NOUN
cana-620	170	33	of	of	ADP
cana-620	170	34	the	the	DET
cana-620	170	35	hidden	hide	VERB
cana-620	170	36	layer	layer	NOUN
cana-620	170	37	and	and	CCONJ
cana-620	170	38	the	the	DET
cana-620	170	39	input	input	NOUN
cana-620	170	40	weights	weight	NOUN
cana-620	170	41	,	,	PUNCT
cana-620	170	42	and	and	CCONJ
cana-620	170	43	the	the	DET
cana-620	170	44	predicted	predict	VERB
cana-620	170	45	output	output	NOUN
cana-620	170	46	are	be	AUX
cana-620	170	47	all	all	ADV
cana-620	170	48	known	know	VERB
cana-620	170	49	.	.	PUNCT
cana-620	171	1	communications	communication	NOUN
cana-620	171	2	on	on	ADP
cana-620	171	3	applied	apply	VERB
cana-620	171	4	nonlinear	nonlinear	ADJ
cana-620	171	5	analysis	analysis	NOUN
cana-620	171	6	issn	issn	NOUN
cana-620	171	7	:	:	PUNCT
cana-620	171	8	1074	1074	NUM
cana-620	171	9	-	-	PUNCT
cana-620	171	10	133x	133x	NUM
cana-620	171	11	vol	vol	NOUN
cana-620	171	12	31	31	NUM
cana-620	171	13	no	no	NOUN
cana-620	171	14	.	.	PUNCT
cana-620	172	1	2s	2s	NUM
cana-620	172	2	(	(	PUNCT
cana-620	172	3	2024	2024	NUM
cana-620	172	4	)	)	PUNCT
cana-620	172	5	196	196	NUM
cana-620	172	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	172	7	from	from	ADP
cana-620	172	8	the	the	DET
cana-620	172	9	moore	moore	PROPN
cana-620	172	10	-	-	PUNCT
cana-620	172	11	penrose	penrose	NOUN
cana-620	172	12	generalized	generalize	VERB
cana-620	172	13	inverse	inverse	NOUN
cana-620	172	14	matrix	matrix	NOUN
cana-620	172	15	h+	h+	X
cana-620	172	16	of	of	ADP
cana-620	172	17	the	the	DET
cana-620	172	18	hidden	hide	VERB
cana-620	172	19	layer	layer	NOUN
cana-620	172	20	output	output	NOUN
cana-620	172	21	matrix	matrix	NOUN
cana-620	172	22	h	h	NOUN
cana-620	172	23	,	,	PUNCT
cana-620	172	24	we	we	PRON
cana-620	172	25	can	can	AUX
cana-620	172	26	get	get	VERB
cana-620	172	27	,	,	PUNCT
cana-620	172	28	β̂	β̂	PUNCT
cana-620	172	29	=	=	SYM
cana-620	172	30	𝐻+𝑇⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡(10	𝐻+𝑇⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡(10	PROPN
cana-620	172	31	)	)	PUNCT
cana-620	172	32	in	in	ADP
cana-620	172	33	the	the	DET
cana-620	172	34	formula	formula	NOUN
cana-620	172	35	:	:	PUNCT
cana-620	172	36	there	there	PRON
cana-620	172	37	are	be	VERB
cana-620	172	38	many	many	ADJ
cana-620	172	39	ways	way	NOUN
cana-620	172	40	to	to	PART
cana-620	172	41	calculate	calculate	VERB
cana-620	172	42	h+	h+	PROPN
cana-620	172	43	.	.	PUNCT
cana-620	173	1	in	in	ADP
cana-620	173	2	elm	elm	PROPN
cana-620	173	3	,	,	PUNCT
cana-620	173	4	the	the	DET
cana-620	173	5	orthogonal	orthogonal	ADJ
cana-620	173	6	projection	projection	NOUN
cana-620	173	7	method	method	NOUN
cana-620	173	8	(	(	PUNCT
cana-620	173	9	kkt	kkt	PROPN
cana-620	173	10	)	)	PUNCT
cana-620	173	11	is	be	AUX
cana-620	173	12	usually	usually	ADV
cana-620	173	13	used	use	VERB
cana-620	173	14	to	to	PART
cana-620	173	15	solve	solve	VERB
cana-620	173	16	h+	h+	PROPN
cana-620	173	17	.	.	PUNCT
cana-620	174	1	when	when	SCONJ
cana-620	174	2	ht	ht	PROPN
cana-620	174	3	h	h	PROPN
cana-620	174	4	is	be	AUX
cana-620	174	5	a	a	DET
cana-620	174	6	non	non	ADJ
cana-620	174	7	-	-	ADJ
cana-620	174	8	singular	singular	ADJ
cana-620	174	9	matrix	matrix	NOUN
cana-620	174	10	,	,	PUNCT
cana-620	174	11	h+=(hth)-1ht	h+=(hth)-1ht	PROPN
cana-620	174	12	;	;	PUNCT
cana-620	174	13	when	when	SCONJ
cana-620	174	14	hht	hht	PROPN
cana-620	174	15	is	be	AUX
cana-620	174	16	a	a	DET
cana-620	174	17	non	non	ADJ
cana-620	174	18	-	-	ADJ
cana-620	174	19	singular	singular	ADJ
cana-620	174	20	matrix	matrix	NOUN
cana-620	174	21	,	,	PUNCT
cana-620	174	22	h+=ht(hht	h+=ht(hht	NUM
cana-620	174	23	)	)	PUNCT
cana-620	174	24	h-1	h-1	NOUN
cana-620	174	25	.	.	PUNCT
cana-620	175	1	in	in	ADP
cana-620	175	2	order	order	NOUN
cana-620	175	3	to	to	PART
cana-620	175	4	solve	solve	VERB
cana-620	175	5	equation	equation	NOUN
cana-620	175	6	(	(	PUNCT
cana-620	175	7	2	2	NUM
cana-620	175	8	)	)	PUNCT
cana-620	175	9	,	,	PUNCT
cana-620	175	10	a	a	DET
cana-620	175	11	sufficiently	sufficiently	ADV
cana-620	175	12	small	small	ADJ
cana-620	175	13	regular	regular	ADJ
cana-620	175	14	term	term	NOUN
cana-620	175	15	1	1	NUM
cana-620	175	16	/	/	SYM
cana-620	175	17	c	c	NOUN
cana-620	175	18	is	be	AUX
cana-620	175	19	added	add	VERB
cana-620	175	20	to	to	ADP
cana-620	175	21	the	the	DET
cana-620	175	22	diagonal	diagonal	NOUN
cana-620	175	23	of	of	ADP
cana-620	175	24	hh	hh	PROPN
cana-620	175	25	or	or	CCONJ
cana-620	175	26	hht	hht	PROPN
cana-620	175	27	,	,	PUNCT
cana-620	175	28	so	so	SCONJ
cana-620	175	29	that	that	SCONJ
cana-620	175	30	the	the	DET
cana-620	175	31	classification	classification	NOUN
cana-620	175	32	model	model	NOUN
cana-620	175	33	has	have	VERB
cana-620	175	34	better	well	ADJ
cana-620	175	35	stability	stability	NOUN
cana-620	175	36	and	and	CCONJ
cana-620	175	37	generalization	generalization	NOUN
cana-620	175	38	performance	performance	NOUN
cana-620	175	39	.	.	PUNCT
cana-620	176	1	the	the	DET
cana-620	176	2	hidden	hide	VERB
cana-620	176	3	layers	layer	NOUN
cana-620	176	4	output	output	NOUN
cana-620	176	5	weight	weight	NOUN
cana-620	176	6	can	can	AUX
cana-620	176	7	be	be	AUX
cana-620	176	8	expressed	express	VERB
cana-620	176	9	as	as	ADP
cana-620	176	10	,	,	PUNCT
cana-620	176	11	β̂	β̂	PUNCT
cana-620	177	1	=	=	SYM
cana-620	177	2	{	{	PUNCT
cana-620	177	3	𝐻𝑇(𝐼/𝐶⁡	𝐻𝑇(𝐼/𝐶⁡	NOUN
cana-620	177	4	+	+	CCONJ
cana-620	177	5	𝐻𝐻𝑇)−1𝑇	𝐻𝐻𝑇)−1𝑇	NOUN
cana-620	177	6	,	,	PUNCT
cana-620	177	7	𝑁	𝑁	PROPN
cana-620	177	8	<	<	X
cana-620	177	9	1	1	NUM
cana-620	177	10	(	(	PUNCT
cana-620	177	11	𝐼/𝐶	𝐼/𝐶	NOUN
cana-620	177	12	+	+	CCONJ
cana-620	177	13	𝐻𝑇𝐻)−1𝐻𝑇𝑇	𝐻𝑇𝐻)−1𝐻𝑇𝑇	NOUN
cana-620	177	14	,	,	PUNCT
cana-620	177	15	𝑁	𝑁	PROPN
cana-620	177	16	≥	≥	NUM
cana-620	177	17	1	1	NUM
cana-620	177	18	(	(	PUNCT
cana-620	177	19	11	11	NUM
cana-620	177	20	)	)	PUNCT
cana-620	177	21	elms	elm	NOUN
cana-620	177	22	output	output	NOUN
cana-620	177	23	function	function	NOUN
cana-620	177	24	can	can	AUX
cana-620	177	25	be	be	AUX
cana-620	177	26	expressed	express	VERB
cana-620	177	27	as	as	ADP
cana-620	177	28	,	,	PUNCT
cana-620	177	29	𝑓(𝑥	𝑓(𝑥	NOUN
cana-620	177	30	)	)	PUNCT
cana-620	177	31	=	=	PUNCT
cana-620	178	1	ℎ(𝑥)β̂	ℎ(𝑥)β̂	PROPN
cana-620	178	2	=	=	PUNCT
cana-620	178	3	{	{	PUNCT
cana-620	178	4	ℎ(𝑥)𝐻𝑇	ℎ(𝑥)𝐻𝑇	NUM
cana-620	178	5	(	(	PUNCT
cana-620	178	6	𝐼	𝐼	PROPN
cana-620	178	7	𝐶	𝐶	PROPN
cana-620	178	8	+	+	CCONJ
cana-620	178	9	𝐻𝐻𝑇	𝐻𝐻𝑇	PROPN
cana-620	178	10	)	)	PUNCT
cana-620	178	11	−1	−1	NOUN
cana-620	178	12	𝑇	𝑇	PROPN
cana-620	178	13	,	,	PUNCT
cana-620	178	14	𝑁	𝑁	PROPN
cana-620	178	15	<	<	X
cana-620	178	16	1	1	NUM
cana-620	178	17	ℎ(𝑥	ℎ(𝑥	NUM
cana-620	178	18	)	)	PUNCT
cana-620	178	19	(	(	PUNCT
cana-620	178	20	𝐼	𝐼	PROPN
cana-620	178	21	𝐶	𝐶	PROPN
cana-620	178	22	+	+	CCONJ
cana-620	178	23	𝐻𝑇𝐻	𝐻𝑇𝐻	PROPN
cana-620	178	24	)	)	PUNCT
cana-620	178	25	−1	−1	NOUN
cana-620	178	26	𝐻𝑇𝑇	𝐻𝑇𝑇	PROPN
cana-620	178	27	,	,	PUNCT
cana-620	178	28	𝑁	𝑁	PROPN
cana-620	178	29	≥	≥	NOUN
cana-620	178	30	1	1	NUM
cana-620	178	31	⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡(12	⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡(12	PROPN
cana-620	178	32	)	)	PUNCT
cana-620	178	33	the	the	DET
cana-620	178	34	categorization	categorization	NOUN
cana-620	178	35	issue	issue	NOUN
cana-620	178	36	demonstrates	demonstrate	VERB
cana-620	178	37	that	that	SCONJ
cana-620	178	38	the	the	DET
cana-620	178	39	distribution	distribution	NOUN
cana-620	178	40	of	of	ADP
cana-620	178	41	all	all	DET
cana-620	178	42	the	the	DET
cana-620	178	43	categorised	categorise	VERB
cana-620	178	44	sample	sample	NOUN
cana-620	178	45	data	datum	NOUN
cana-620	178	46	is	be	AUX
cana-620	178	47	not	not	PART
cana-620	178	48	uniform	uniform	ADJ
cana-620	178	49	.	.	PUNCT
cana-620	179	1	a	a	DET
cana-620	179	2	technique	technique	NOUN
cana-620	179	3	based	base	VERB
cana-620	179	4	on	on	ADP
cana-620	179	5	elm	elm	PROPN
cana-620	179	6	called	call	VERB
cana-620	179	7	weighted	weight	VERB
cana-620	179	8	extreme	extreme	ADJ
cana-620	179	9	learning	learning	NOUN
cana-620	179	10	machine	machine	NOUN
cana-620	179	11	(	(	PUNCT
cana-620	179	12	welm	welm	NOUN
cana-620	179	13	)	)	PUNCT
cana-620	179	14	is	be	AUX
cana-620	179	15	used	use	VERB
cana-620	179	16	to	to	PART
cana-620	179	17	address	address	VERB
cana-620	179	18	the	the	DET
cana-620	179	19	classification	classification	NOUN
cana-620	179	20	problem	problem	NOUN
cana-620	179	21	of	of	ADP
cana-620	179	22	unbalanced	unbalanced	ADJ
cana-620	179	23	data	datum	NOUN
cana-620	179	24	.	.	PUNCT
cana-620	180	1	according	accord	VERB
cana-620	180	2	to	to	ADP
cana-620	180	3	the	the	DET
cana-620	180	4	weighting	weighting	NOUN
cana-620	180	5	scheme	scheme	NOUN
cana-620	180	6	,	,	PUNCT
cana-620	180	7	assign	assign	VERB
cana-620	180	8	a	a	DET
cana-620	180	9	weight	weight	NOUN
cana-620	180	10	to	to	ADP
cana-620	180	11	each	each	DET
cana-620	180	12	sample	sample	NOUN
cana-620	180	13	:	:	PUNCT
cana-620	180	14	weighting	weight	VERB
cana-620	180	15	scheme	scheme	NOUN
cana-620	180	16	one	one	NUM
cana-620	180	17	w1	w1	NOUN
cana-620	180	18	:	:	PUNCT
cana-620	180	19	automatic	automatic	ADJ
cana-620	180	20	weighting	weighting	NOUN
cana-620	180	21	scheme	scheme	NOUN
cana-620	180	22	:	:	PUNCT
cana-620	180	23	𝑊1	𝑊1	PROPN
cana-620	181	1	=	=	PRON
cana-620	181	2	⁡	⁡	PROPN
cana-620	181	3	1	1	NUM
cana-620	181	4	𝐶𝑜𝑢𝑛𝑡⁡(𝑡𝑖	𝐶𝑜𝑢𝑛𝑡⁡(𝑡𝑖	NOUN
cana-620	181	5	)	)	PUNCT
cana-620	181	6	(	(	PUNCT
cana-620	181	7	13	13	NUM
cana-620	181	8	)	)	PUNCT
cana-620	181	9	where	where	SCONJ
cana-620	181	10	count(ti	count(ti	NOUN
cana-620	181	11	)	)	PUNCT
cana-620	181	12	is	be	AUX
cana-620	181	13	the	the	DET
cana-620	181	14	number	number	NOUN
cana-620	181	15	of	of	ADP
cana-620	181	16	samples	sample	NOUN
cana-620	181	17	of	of	ADP
cana-620	181	18	class	class	NOUN
cana-620	181	19	ti	ti	NOUN
cana-620	181	20	in	in	ADP
cana-620	181	21	the	the	DET
cana-620	181	22	training	training	NOUN
cana-620	181	23	sample	sample	NOUN
cana-620	181	24	.	.	PUNCT
cana-620	182	1	push	push	VERB
cana-620	182	2	the	the	DET
cana-620	182	3	minority	minority	NOUN
cana-620	182	4	class	class	NOUN
cana-620	182	5	to	to	ADP
cana-620	182	6	majority	majority	NOUN
cana-620	182	7	class	class	NOUN
cana-620	182	8	ratio	ratio	NOUN
cana-620	182	9	in	in	ADP
cana-620	182	10	the	the	DET
cana-620	182	11	direction	direction	NOUN
cana-620	182	12	of	of	ADP
cana-620	182	13	0.618:1	0.618:1	PROPN
cana-620	182	14	using	use	VERB
cana-620	182	15	weighting	weight	VERB
cana-620	182	16	system	system	NOUN
cana-620	182	17	w2	w2	NOUN
cana-620	182	18	(	(	PUNCT
cana-620	182	19	the	the	DET
cana-620	182	20	golden	golden	ADJ
cana-620	182	21	ratio	ratio	NOUN
cana-620	182	22	)	)	PUNCT
cana-620	182	23	.	.	PUNCT
cana-620	183	1	this	this	DET
cana-620	183	2	strategy	strategy	NOUN
cana-620	183	3	sacrifices	sacrifice	VERB
cana-620	183	4	the	the	DET
cana-620	183	5	majority	majority	NOUN
cana-620	183	6	class	class	NOUN
cana-620	183	7	'	'	PUNCT
cana-620	183	8	classification	classification	NOUN
cana-620	183	9	accuracy	accuracy	NOUN
cana-620	183	10	in	in	ADP
cana-620	183	11	favour	favour	NOUN
cana-620	183	12	of	of	ADP
cana-620	183	13	the	the	DET
cana-620	183	14	minority	minority	NOUN
cana-620	183	15	group	group	NOUN
cana-620	183	16	's	's	PART
cana-620	183	17	classification	classification	NOUN
cana-620	183	18	accuracy	accuracy	NOUN
cana-620	183	19	.	.	PUNCT
cana-620	184	1	𝑊2	𝑊2	PROPN
cana-620	184	2	=	=	SYM
cana-620	184	3	{	{	PUNCT
cana-620	184	4	0.618	0.618	NUM
cana-620	184	5	𝐶𝑜𝑢𝑛𝑡(𝑡𝑖	𝐶𝑜𝑢𝑛𝑡(𝑡𝑖	NOUN
cana-620	184	6	)	)	PUNCT
cana-620	184	7	,	,	PUNCT
cana-620	184	8	𝑡𝑖⁡𝑏𝑒𝑙𝑜𝑛𝑔⁡𝑡𝑜⁡𝑡ℎ𝑒⁡𝑚𝑎𝑗𝑜𝑟𝑖𝑡𝑦⁡𝑐𝑙𝑎𝑠𝑠	𝑡𝑖⁡𝑏𝑒𝑙𝑜𝑛𝑔⁡𝑡𝑜⁡𝑡ℎ𝑒⁡𝑚𝑎𝑗𝑜𝑟𝑖𝑡𝑦⁡𝑐𝑙𝑎𝑠𝑠	X
cana-620	184	9	1	1	NUM
cana-620	184	10	𝐶𝑜𝑢𝑛𝑡⁡(𝑡𝑖	𝐶𝑜𝑢𝑛𝑡⁡(𝑡𝑖	NOUN
cana-620	184	11	)	)	PUNCT
cana-620	184	12	,	,	PUNCT
cana-620	184	13	𝑡𝑖	𝑡𝑖	PROPN
cana-620	184	14	⁡𝑏𝑒𝑙𝑜𝑛𝑔⁡𝑡𝑜⁡𝑡ℎ𝑒⁡𝑚𝑖𝑛𝑜𝑟𝑖𝑡𝑦⁡𝑐𝑙𝑎𝑠𝑠	⁡𝑏𝑒𝑙𝑜𝑛𝑔⁡𝑡𝑜⁡𝑡ℎ𝑒⁡𝑚𝑖𝑛𝑜𝑟𝑖𝑡𝑦⁡𝑐𝑙𝑎𝑠𝑠	NOUN
cana-620	184	15	(	(	PUNCT
cana-620	184	16	14	14	NUM
cana-620	184	17	)	)	PUNCT
cana-620	184	18	the	the	DET
cana-620	184	19	welm	welm	ADJ
cana-620	184	20	hidden	hide	VERB
cana-620	184	21	layer	layer	NOUN
cana-620	184	22	output	output	NOUN
cana-620	184	23	weights	weight	NOUN
cana-620	184	24	can	can	AUX
cana-620	184	25	be	be	AUX
cana-620	184	26	expressed	express	VERB
cana-620	184	27	as	as	ADP
cana-620	184	28	,	,	PUNCT
cana-620	184	29	β̂	β̂	PUNCT
cana-620	184	30	=	=	PUNCT
cana-620	184	31	𝐻+𝑇	𝐻+𝑇	PROPN
cana-620	184	32	=	=	SYM
cana-620	184	33	{	{	PUNCT
cana-620	184	34	𝐻𝑇(𝐼/𝐶⁡	𝐻𝑇(𝐼/𝐶⁡	PROPN
cana-620	185	1	+	+	SYM
cana-620	185	2	𝑊𝐻𝐻𝑇)−1𝑊𝑇	𝑊𝐻𝐻𝑇)−1𝑊𝑇	NOUN
cana-620	185	3	,	,	PUNCT
cana-620	185	4	𝑁	𝑁	PROPN
cana-620	185	5	<	<	X
cana-620	185	6	1	1	NUM
cana-620	185	7	(	(	PUNCT
cana-620	185	8	𝐼/𝐶	𝐼/𝐶	NOUN
cana-620	185	9	+	+	X
cana-620	185	10	𝐻𝑇𝑊𝐻)−1𝐻𝑇𝑊𝑇	𝐻𝑇𝑊𝐻)−1𝐻𝑇𝑊𝑇	NOUN
cana-620	185	11	,	,	PUNCT
cana-620	185	12	𝑁	𝑁	PROPN
cana-620	185	13	≥	≥	NUM
cana-620	185	14	1	1	NUM
cana-620	185	15	(	(	PUNCT
cana-620	185	16	15	15	NUM
cana-620	185	17	)	)	PUNCT
cana-620	185	18	in	in	ADP
cana-620	185	19	the	the	DET
cana-620	185	20	formula	formula	NOUN
cana-620	185	21	:	:	PUNCT
cana-620	185	22	diagonal	diagonal	ADJ
cana-620	185	23	matrix	matrix	NOUN
cana-620	185	24	of	of	ADP
cana-620	185	25	nxn	nxn	PROPN
cana-620	185	26	represents	represent	VERB
cana-620	185	27	the	the	DET
cana-620	185	28	weighting	weighting	NOUN
cana-620	185	29	matrix	matrix	NOUN
cana-620	185	30	;	;	PUNCT
cana-620	185	31	n	n	PRON
cana-620	185	32	samples	sample	NOUN
cana-620	185	33	represents	represent	VERB
cana-620	185	34	the	the	DET
cana-620	185	35	n	n	CCONJ
cana-620	185	36	main	main	ADJ
cana-620	185	37	diagonal	diagonal	ADJ
cana-620	185	38	elements	element	NOUN
cana-620	185	39	,	,	PUNCT
cana-620	185	40	and	and	CCONJ
cana-620	185	41	for	for	ADP
cana-620	185	42	various	various	ADJ
cana-620	185	43	sample	sample	NOUN
cana-620	185	44	categories	category	NOUN
cana-620	185	45	different	different	ADJ
cana-620	185	46	weights	weight	NOUN
cana-620	185	47	are	be	AUX
cana-620	185	48	assigned	assign	VERB
cana-620	185	49	,	,	PUNCT
cana-620	185	50	and	and	CCONJ
cana-620	185	51	the	the	DET
cana-620	185	52	weighted	weight	VERB
cana-620	185	53	weights	weight	NOUN
cana-620	185	54	of	of	ADP
cana-620	185	55	the	the	DET
cana-620	185	56	same	same	ADJ
cana-620	185	57	category	category	NOUN
cana-620	185	58	are	be	AUX
cana-620	185	59	equal	equal	ADJ
cana-620	185	60	.	.	PUNCT
cana-620	186	1	communications	communication	NOUN
cana-620	186	2	on	on	ADP
cana-620	186	3	applied	apply	VERB
cana-620	186	4	nonlinear	nonlinear	ADJ
cana-620	186	5	analysis	analysis	NOUN
cana-620	186	6	issn	issn	NOUN
cana-620	186	7	:	:	PUNCT
cana-620	186	8	1074	1074	NUM
cana-620	186	9	-	-	PUNCT
cana-620	186	10	133x	133x	NUM
cana-620	186	11	vol	vol	NOUN
cana-620	186	12	31	31	NUM
cana-620	186	13	no	no	NOUN
cana-620	186	14	.	.	PUNCT
cana-620	187	1	2s	2s	NUM
cana-620	187	2	(	(	PUNCT
cana-620	187	3	2024	2024	NUM
cana-620	187	4	)	)	PUNCT
cana-620	187	5	197	197	NUM
cana-620	187	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	187	7	when	when	SCONJ
cana-620	187	8	the	the	DET
cana-620	187	9	hidden	hide	VERB
cana-620	187	10	layer	layer	NOUN
cana-620	187	11	feature	feature	NOUN
cana-620	187	12	map	map	NOUN
cana-620	187	13	h(x	h(x	PROPN
cana-620	187	14	)	)	PUNCT
cana-620	187	15	is	be	AUX
cana-620	187	16	not	not	PART
cana-620	187	17	known	know	VERB
cana-620	187	18	,	,	PUNCT
cana-620	187	19	the	the	DET
cana-620	187	20	kernel	kernel	NOUN
cana-620	187	21	matrix	matrix	NOUN
cana-620	187	22	is	be	AUX
cana-620	187	23	defined	define	VERB
cana-620	187	24	as	as	ADP
cana-620	187	25	,	,	PUNCT
cana-620	187	26	𝛺𝐸𝐿𝑀	𝛺𝐸𝐿𝑀	PROPN
cana-620	187	27	=	=	PUNCT
cana-620	187	28	𝐻𝐻𝑇:⁡𝛺𝐸𝐿𝑀𝑖,𝑗	𝐻𝐻𝑇:⁡𝛺𝐸𝐿𝑀𝑖,𝑗	NOUN
cana-620	187	29	=	=	SYM
cana-620	187	30	ℎ(𝑥𝑖)ℎ(𝑥𝑗	ℎ(𝑥𝑖)ℎ(𝑥𝑗	NOUN
cana-620	187	31	)	)	PUNCT
cana-620	187	32	=	=	VERB
cana-620	187	33	𝐾(𝑥𝑖	𝐾(𝑥𝑖	ADJ
cana-620	187	34	,	,	PUNCT
cana-620	187	35	𝑥𝑗)⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡(16	𝑥𝑗)⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡(16	NOUN
cana-620	187	36	)	)	PUNCT
cana-620	187	37	in	in	ADP
cana-620	187	38	the	the	DET
cana-620	187	39	formula	formula	NOUN
cana-620	187	40	:	:	PUNCT
cana-620	188	1	𝛺elm	𝛺elm	PROPN
cana-620	188	2	is	be	AUX
cana-620	188	3	the	the	DET
cana-620	188	4	kernel	kernel	NOUN
cana-620	188	5	matrix	matrix	NOUN
cana-620	188	6	,	,	PUNCT
cana-620	188	7	and	and	CCONJ
cana-620	188	8	the	the	DET
cana-620	188	9	mercer	mercer	PROPN
cana-620	188	10	condition	condition	NOUN
cana-620	188	11	must	must	AUX
cana-620	188	12	be	be	AUX
cana-620	188	13	met	meet	VERB
cana-620	188	14	by	by	ADP
cana-620	188	15	the	the	DET
cana-620	188	16	kernel	kernel	PROPN
cana-620	188	17	function	function	PROPN
cana-620	188	18	k.	k.	PROPN
cana-620	188	19	common	common	ADJ
cana-620	188	20	kernel	kernel	PROPN
cana-620	188	21	functions	function	NOUN
cana-620	188	22	include	include	VERB
cana-620	188	23	the	the	DET
cana-620	188	24	gaussian	gaussian	ADJ
cana-620	188	25	kernel	kernel	PROPN
cana-620	188	26	function	function	PROPN
cana-620	188	27	,	,	PUNCT
cana-620	188	28	the	the	DET
cana-620	188	29	polynomial	polynomial	ADJ
cana-620	188	30	kernel	kernel	PROPN
cana-620	188	31	function	function	NOUN
cana-620	188	32	,	,	PUNCT
cana-620	188	33	the	the	DET
cana-620	188	34	radial	radial	ADJ
cana-620	188	35	basis	basis	NOUN
cana-620	188	36	kernel	kernel	NOUN
cana-620	188	37	function	function	NOUN
cana-620	188	38	,	,	PUNCT
cana-620	188	39	and	and	CCONJ
cana-620	188	40	the	the	DET
cana-620	188	41	linear	linear	ADJ
cana-620	188	42	kernel	kernel	PROPN
cana-620	188	43	function	function	NOUN
cana-620	188	44	.	.	PUNCT
cana-620	189	1	it	it	PRON
cana-620	189	2	is	be	AUX
cana-620	189	3	possible	possible	ADJ
cana-620	189	4	to	to	PART
cana-620	189	5	formulate	formulate	VERB
cana-620	189	6	the	the	DET
cana-620	189	7	output	output	NOUN
cana-620	189	8	function	function	NOUN
cana-620	189	9	expression	expression	NOUN
cana-620	189	10	(	(	PUNCT
cana-620	189	11	12	12	NUM
cana-620	189	12	)	)	PUNCT
cana-620	189	13	as	as	ADP
cana-620	189	14	by	by	ADP
cana-620	189	15	formula	formula	NOUN
cana-620	189	16	.	.	PUNCT
cana-620	190	1	(	(	PUNCT
cana-620	190	2	16)𝑓(𝑥	16)𝑓(𝑥	NUM
cana-620	190	3	)	)	PUNCT
cana-620	190	4	=	=	SYM
cana-620	190	5	ℎ(𝑥)β̂	ℎ(𝑥)β̂	NOUN
cana-620	190	6	=	=	SYM
cana-620	190	7	ℎ(𝑥)𝐻𝑇	ℎ(𝑥)𝐻𝑇	NUM
cana-620	190	8	(	(	PUNCT
cana-620	190	9	𝐼	𝐼	PROPN
cana-620	190	10	𝐶	𝐶	PROPN
cana-620	190	11	+	+	CCONJ
cana-620	190	12	𝑊𝐻𝐻𝑇	𝑊𝐻𝐻𝑇	PROPN
cana-620	190	13	)	)	PUNCT
cana-620	190	14	−1	−1	NOUN
cana-620	190	15	𝑊𝑇	𝑊𝑇	PROPN
cana-620	190	16	=	=	SYM
cana-620	190	17	[	[	PUNCT
cana-620	190	18	𝐾(𝑥	𝐾(𝑥	NOUN
cana-620	190	19	,	,	PUNCT
cana-620	190	20	𝑥1	𝑥1	NOUN
cana-620	190	21	)	)	PUNCT
cana-620	190	22	.	.	PUNCT
cana-620	190	23	.	.	PUNCT
cana-620	190	24	.	.	PUNCT
cana-620	191	1	𝐾(𝑥	𝐾(𝑥	NOUN
cana-620	191	2	,	,	PUNCT
cana-620	191	3	𝑥𝑛	𝑥𝑛	PROPN
cana-620	191	4	)	)	PUNCT
cana-620	191	5	]	]	PUNCT
cana-620	191	6	(	(	PUNCT
cana-620	191	7	𝐼/𝐶	𝐼/𝐶	NOUN
cana-620	191	8	+	+	ADJ
cana-620	191	9	𝑊𝛺𝐸𝐿𝑀	𝑊𝛺𝐸𝐿𝑀	PROPN
cana-620	191	10	)	)	PUNCT
cana-620	191	11	−1𝑊𝑇⁡⁡⁡(17	−1𝑊𝑇⁡⁡⁡(17	NUM
cana-620	191	12	)	)	PUNCT
cana-620	191	13	therefore	therefore	ADV
cana-620	191	14	,	,	PUNCT
cana-620	191	15	the	the	DET
cana-620	191	16	training	training	NOUN
cana-620	191	17	process	process	NOUN
cana-620	191	18	of	of	ADP
cana-620	191	19	the	the	DET
cana-620	191	20	classification	classification	NOUN
cana-620	191	21	model	model	NOUN
cana-620	191	22	based	base	VERB
cana-620	191	23	on	on	ADP
cana-620	191	24	the	the	DET
cana-620	191	25	weighted	weight	VERB
cana-620	191	26	extreme	extreme	ADJ
cana-620	191	27	learning	learning	NOUN
cana-620	191	28	machine	machine	NOUN
cana-620	191	29	is	be	AUX
cana-620	191	30	:	:	PUNCT
cana-620	191	31	(	(	PUNCT
cana-620	191	32	1	1	X
cana-620	191	33	)	)	PUNCT
cana-620	191	34	randomly	randomly	ADV
cana-620	191	35	set	set	VERB
cana-620	191	36	the	the	DET
cana-620	191	37	weights	weight	NOUN
cana-620	191	38	of	of	ADP
cana-620	191	39	the	the	DET
cana-620	191	40	input	input	NOUN
cana-620	191	41	ah	ah	INTJ
cana-620	191	42	and	and	CCONJ
cana-620	191	43	bias	bias	NOUN
cana-620	191	44	bh	bh	NOUN
cana-620	191	45	of	of	ADP
cana-620	191	46	the	the	DET
cana-620	191	47	hidden	hide	VERB
cana-620	191	48	layer	layer	NOUN
cana-620	191	49	,	,	PUNCT
cana-620	191	50	where	where	SCONJ
cana-620	191	51	h=1,2	h=1,2	PROPN
cana-620	191	52	,	,	PUNCT
cana-620	191	53	...	...	PUNCT
cana-620	191	54	,	,	PUNCT
cana-620	191	55	l	l	NOUN
cana-620	191	56	;	;	PUNCT
cana-620	191	57	(	(	PUNCT
cana-620	191	58	2	2	X
cana-620	191	59	)	)	PUNCT
cana-620	191	60	according	accord	VERB
cana-620	191	61	to	to	ADP
cana-620	191	62	the	the	DET
cana-620	191	63	weighting	weighting	NOUN
cana-620	191	64	scheme	scheme	NOUN
cana-620	191	65	,	,	PUNCT
cana-620	191	66	assign	assign	VERB
cana-620	191	67	weights	weight	NOUN
cana-620	191	68	to	to	ADP
cana-620	191	69	each	each	DET
cana-620	191	70	sample	sample	NOUN
cana-620	191	71	,	,	PUNCT
cana-620	191	72	and	and	CCONJ
cana-620	191	73	calculate	calculate	VERB
cana-620	191	74	the	the	DET
cana-620	191	75	weighting	weighting	NOUN
cana-620	191	76	matrix	matrix	NOUN
cana-620	191	77	w	w	NOUN
cana-620	191	78	;	;	PUNCT
cana-620	191	79	(	(	PUNCT
cana-620	191	80	3	3	X
cana-620	191	81	)	)	PUNCT
cana-620	191	82	calculate	calculate	NOUN
cana-620	191	83	the	the	DET
cana-620	191	84	kernel	kernel	PROPN
cana-620	191	85	matrix	matrix	NOUN
cana-620	191	86	ωelm	ωelm	NOUN
cana-620	191	87	according	accord	VERB
cana-620	191	88	to	to	ADP
cana-620	191	89	the	the	DET
cana-620	191	90	selected	select	VERB
cana-620	191	91	kernel	kernel	NOUN
cana-620	191	92	function	function	NOUN
cana-620	191	93	;	;	PUNCT
cana-620	191	94	(	(	PUNCT
cana-620	191	95	4	4	X
cana-620	191	96	)	)	PUNCT
cana-620	191	97	calculate	calculate	VERB
cana-620	191	98	the	the	DET
cana-620	191	99	output	output	NOUN
cana-620	191	100	using	use	VERB
cana-620	191	101	equation	equation	NOUN
cana-620	191	102	(	(	PUNCT
cana-620	191	103	17	17	NUM
cana-620	191	104	)	)	PUNCT
cana-620	191	105	.	.	PUNCT
cana-620	192	1	weighted	weight	VERB
cana-620	192	2	extreme	extreme	ADJ
cana-620	192	3	learning	learning	NOUN
cana-620	192	4	machine	machine	NOUN
cana-620	192	5	algorithm	algorithm	NOUN
cana-620	192	6	based	base	VERB
cana-620	192	7	on	on	ADP
cana-620	192	8	whale	whale	NOUN
cana-620	192	9	optimization	optimization	NOUN
cana-620	192	10	the	the	DET
cana-620	192	11	feed	feed	NOUN
cana-620	192	12	forward	forward	ADV
cana-620	192	13	neural	neural	ADJ
cana-620	192	14	network	network	NOUN
cana-620	192	15	welm	welm	NOUN
cana-620	192	16	used	use	VERB
cana-620	192	17	in	in	ADP
cana-620	192	18	this	this	DET
cana-620	192	19	study	study	NOUN
cana-620	192	20	has	have	VERB
cana-620	192	21	the	the	DET
cana-620	192	22	advantages	advantage	NOUN
cana-620	192	23	of	of	ADP
cana-620	192	24	shorter	short	ADJ
cana-620	192	25	training	training	NOUN
cana-620	192	26	times	time	NOUN
cana-620	192	27	,	,	PUNCT
cana-620	192	28	improved	improve	VERB
cana-620	192	29	generalization	generalization	NOUN
cana-620	192	30	capabilities	capability	NOUN
cana-620	192	31	,	,	PUNCT
cana-620	192	32	and	and	CCONJ
cana-620	192	33	global	global	ADJ
cana-620	192	34	woa	woa	INTJ
cana-620	192	35	optimisation	optimisation	NOUN
cana-620	192	36	.	.	PUNCT
cana-620	193	1	the	the	DET
cana-620	193	2	welm	welm	ADJ
cana-620	193	3	network	network	NOUN
cana-620	193	4	's	's	PART
cana-620	193	5	hidden	hide	VERB
cana-620	193	6	layer	layer	NOUN
cana-620	193	7	input	input	NOUN
cana-620	193	8	weight	weight	NOUN
cana-620	193	9	supports	support	NOUN
cana-620	193	10	are	be	AUX
cana-620	193	11	optimized	optimize	VERB
cana-620	193	12	via	via	ADP
cana-620	193	13	the	the	DET
cana-620	193	14	whale	whale	NOUN
cana-620	193	15	optimization	optimization	NOUN
cana-620	193	16	method	method	NOUN
cana-620	193	17	(	(	PUNCT
cana-620	193	18	woa	woa	NOUN
cana-620	193	19	)	)	PUNCT
cana-620	193	20	method	method	NOUN
cana-620	193	21	.	.	PUNCT
cana-620	194	1	processing	processing	NOUN
cana-620	194	2	raises	raise	VERB
cana-620	194	3	the	the	DET
cana-620	194	4	minority	minority	NOUN
cana-620	194	5	attacks	attack	NOUN
cana-620	194	6	recall	recall	VERB
cana-620	194	7	rate	rate	NOUN
cana-620	194	8	during	during	ADP
cana-620	194	9	network	network	NOUN
cana-620	194	10	assaults	assault	NOUN
cana-620	194	11	,	,	PUNCT
cana-620	194	12	balances	balance	VERB
cana-620	194	13	the	the	DET
cana-620	194	14	data	datum	NOUN
cana-620	194	15	during	during	ADP
cana-620	194	16	network	network	NOUN
cana-620	194	17	intrusion	intrusion	NOUN
cana-620	194	18	detection	detection	NOUN
cana-620	194	19	,	,	PUNCT
cana-620	194	20	and	and	CCONJ
cana-620	194	21	keeps	keep	VERB
cana-620	194	22	welm	welm	ADJ
cana-620	194	23	from	from	ADP
cana-620	194	24	opting	opt	VERB
cana-620	194	25	for	for	ADP
cana-620	194	26	local	local	ADJ
cana-620	194	27	best	good	ADJ
cana-620	194	28	solutions	solution	NOUN
cana-620	194	29	.	.	PUNCT
cana-620	195	1	the	the	DET
cana-620	195	2	algorithm	algorithm	NOUN
cana-620	195	3	flow	flow	NOUN
cana-620	195	4	in	in	ADP
cana-620	195	5	the	the	DET
cana-620	195	6	study	study	NOUN
cana-620	195	7	is	be	AUX
cana-620	195	8	shown	show	VERB
cana-620	195	9	in	in	ADP
cana-620	195	10	figure	figure	NOUN
cana-620	195	11	2	2	NUM
cana-620	195	12	.	.	PUNCT
cana-620	195	13	communications	communication	NOUN
cana-620	195	14	on	on	ADP
cana-620	195	15	applied	apply	VERB
cana-620	195	16	nonlinear	nonlinear	ADJ
cana-620	195	17	analysis	analysis	NOUN
cana-620	195	18	issn	issn	NOUN
cana-620	195	19	:	:	PUNCT
cana-620	195	20	1074	1074	NUM
cana-620	195	21	-	-	PUNCT
cana-620	195	22	133x	133x	NUM
cana-620	195	23	vol	vol	NOUN
cana-620	195	24	31	31	NUM
cana-620	195	25	no	no	NOUN
cana-620	195	26	.	.	PUNCT
cana-620	196	1	2s	2s	NUM
cana-620	196	2	(	(	PUNCT
cana-620	196	3	2024	2024	NUM
cana-620	196	4	)	)	PUNCT
cana-620	196	5	198	198	NUM
cana-620	196	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-620	196	7	figure	figure	NOUN
cana-620	196	8	.	.	PUNCT
cana-620	197	1	4	4	NUM
cana-620	197	2	intrusion	intrusion	NOUN
cana-620	197	3	detection	detection	NOUN
cana-620	197	4	model	model	NOUN
cana-620	197	5	using	use	VERB
cana-620	197	6	weighted	weight	VERB
cana-620	197	7	elm	elm	NOUN
cana-620	197	8	classification	classification	NOUN
cana-620	197	9	3	3	NUM
cana-620	197	10	.	.	NOUN
cana-620	197	11	result	result	VERB
cana-620	197	12	analysis	analysis	NOUN
cana-620	197	13	and	and	CCONJ
cana-620	197	14	algorithm	algorithm	NOUN
cana-620	197	15	simulation	simulation	NOUN
cana-620	197	16	algorithm	algorithm	PROPN
cana-620	197	17	simulation	simulation	NOUN
cana-620	197	18	and	and	CCONJ
cana-620	197	19	result	result	VERB
cana-620	197	20	analysis	analysis	NOUN
cana-620	197	21	is	be	AUX
cana-620	197	22	done	do	VERB
cana-620	197	23	in	in	ADP
cana-620	197	24	four	four	NUM
cana-620	197	25	stages	stage	NOUN
cana-620	197	26	preprocessing	preprocessing	NOUN
cana-620	197	27	and	and	CCONJ
cana-620	197	28	data	datum	NOUN
cana-620	197	29	set	set	VERB
cana-620	197	30	selection	selection	NOUN
cana-620	197	31	,	,	PUNCT
cana-620	197	32	performance	performance	NOUN
cana-620	197	33	measures	measure	NOUN
cana-620	197	34	,	,	PUNCT
cana-620	197	35	data	datum	NOUN
cana-620	197	36	dimensionality	dimensionality	NOUN
cana-620	197	37	reduction	reduction	NOUN
cana-620	197	38	processing	processing	NOUN
cana-620	197	39	and	and	CCONJ
cana-620	197	40	finally	finally	ADV
cana-620	197	41	simulation	simulation	NOUN
cana-620	197	42	and	and	CCONJ
cana-620	197	43	result	result	VERB
cana-620	197	44	analysis	analysis	NOUN
cana-620	197	45	.	.	PUNCT
cana-620	198	1	3.1	3.1	NUM
cana-620	198	2	pre	pre	ADJ
cana-620	198	3	-	-	ADJ
cana-620	198	4	processing	processing	ADJ
cana-620	198	5	and	and	CCONJ
cana-620	198	6	data	datum	NOUN
cana-620	198	7	set	set	VERB
cana-620	198	8	selection	selection	NOUN
cana-620	198	9	in	in	ADP
cana-620	198	10	this	this	DET
cana-620	198	11	study	study	NOUN
cana-620	198	12	,	,	PUNCT
cana-620	198	13	the	the	DET
cana-620	198	14	nsl	nsl	PROPN
cana-620	198	15	-	-	PUNCT
cana-620	198	16	kdd	kdd	PROPN
cana-620	198	17	dataset	dataset	NOUN
cana-620	198	18	is	be	AUX
cana-620	198	19	chosen	choose	VERB
cana-620	198	20	as	as	ADP
cana-620	198	21	the	the	DET
cana-620	198	22	experimental	experimental	ADJ
cana-620	198	23	data	datum	NOUN
cana-620	198	24	set	set	VERB
cana-620	198	25	,	,	PUNCT
cana-620	198	26	and	and	CCONJ
cana-620	198	27	the	the	DET
cana-620	198	28	test	test	NOUN
cana-620	198	29	set	set	VERB
cana-620	198	30	and	and	CCONJ
cana-620	198	31	training	training	NOUN
cana-620	198	32	set	set	NOUN
cana-620	198	33	for	for	ADP
cana-620	198	34	the	the	DET
cana-620	198	35	experiment	experiment	NOUN
cana-620	198	36	are	be	AUX
cana-620	198	37	kddtest+	kddtest+	NOUN
cana-620	198	38	and	and	CCONJ
cana-620	198	39	kddtrain+	kddtrain+	X
cana-620	198	40	from	from	ADP
cana-620	198	41	the	the	DET
cana-620	198	42	nsl	nsl	PROPN
cana-620	198	43	-	-	PUNCT
cana-620	198	44	kdd	kdd	PROPN
cana-620	198	45	data	datum	NOUN
cana-620	198	46	package	package	NOUN
cana-620	198	47	.	.	PUNCT
cana-620	199	1	each	each	DET
cana-620	199	2	dataset	dataset	NOUN
cana-620	199	3	consists	consist	VERB
cana-620	199	4	of	of	ADP
cana-620	199	5	42	42	NUM
cana-620	199	6	dimensions	dimension	NOUN
cana-620	199	7	,	,	PUNCT
cana-620	199	8	the	the	DET
cana-620	199	9	first	first	ADJ
cana-620	199	10	41	41	NUM
cana-620	199	11	of	of	ADP
cana-620	199	12	which	which	PRON
cana-620	199	13	are	be	AUX
cana-620	199	14	dataset	dataset	ADJ
cana-620	199	15	features	feature	NOUN
cana-620	199	16	and	and	CCONJ
cana-620	199	17	the	the	DET
cana-620	199	18	final	final	ADJ
cana-620	199	19	12	12	NUM
cana-620	199	20	of	of	ADP
cana-620	199	21	which	which	PRON
cana-620	199	22	are	be	AUX
cana-620	199	23	dataset	dataset	VERB
cana-620	199	24	label	label	NOUN
cana-620	199	25	bits	bit	NOUN
cana-620	199	26	.	.	PUNCT
cana-620	200	1	the	the	DET
cana-620	200	2	tag	tag	NOUN
cana-620	200	3	bits	bit	NOUN
cana-620	200	4	provide	provide	VERB
cana-620	200	5	standard	standard	ADJ
cana-620	200	6	information	information	NOUN
cana-620	200	7	as	as	ADV
cana-620	200	8	well	well	ADV
cana-620	200	9	as	as	ADP
cana-620	200	10	39	39	NUM
cana-620	200	11	distinct	distinct	ADJ
cana-620	200	12	types	type	NOUN
cana-620	200	13	of	of	ADP
cana-620	200	14	attacks	attack	NOUN
cana-620	200	15	,	,	PUNCT
cana-620	200	16	which	which	PRON
cana-620	200	17	are	be	AUX
cana-620	200	18	broken	break	VERB
cana-620	200	19	down	down	ADP
cana-620	200	20	into	into	ADP
cana-620	200	21	four	four	NUM
cana-620	200	22	groups	group	NOUN
cana-620	200	23	:	:	PUNCT
cana-620	200	24	dos	do	NOUN
cana-620	200	25	,	,	PUNCT
cana-620	200	26	r2l	r2l	NOUN
cana-620	200	27	,	,	PUNCT
cana-620	200	28	probe	probe	NOUN
cana-620	200	29	and	and	CCONJ
cana-620	200	30	u2r	u2r	NOUN
cana-620	200	31	.	.	PUNCT
cana-620	201	1	the	the	DET
cana-620	201	2	training	training	NOUN
cana-620	201	3	set	set	NOUN
cana-620	201	4	has	have	VERB
cana-620	201	5	twenty	twenty	NUM
cana-620	201	6	-	-	PUNCT
cana-620	201	7	one	one	NUM
cana-620	201	8	distinct	distinct	ADJ
cana-620	201	9	forms	form	NOUN
cana-620	201	10	of	of	ADP
cana-620	201	11	intrusion	intrusion	NOUN
cana-620	201	12	attacks	attack	NOUN
cana-620	201	13	,	,	PUNCT
cana-620	201	14	whereas	whereas	SCONJ
cana-620	201	15	the	the	DET
cana-620	201	16	exam	exam	NOUN
cana-620	201	17	set	set	NOUN
cana-620	201	18	contains	contain	VERB
cana-620	201	19	eighteen	eighteen	NUM
cana-620	201	20	different	different	ADJ
cana-620	201	21	types	type	NOUN
cana-620	201	22	.	.	PUNCT
cana-620	202	1	the	the	DET
cana-620	202	2	test	test	NOUN
cana-620	202	3	set	set	NOUN
cana-620	202	4	that	that	PRON
cana-620	202	5	will	will	AUX
cana-620	202	6	be	be	AUX
cana-620	202	7	used	use	VERB
cana-620	202	8	to	to	PART
cana-620	202	9	determine	determine	VERB
cana-620	202	10	how	how	SCONJ
cana-620	202	11	effectively	effectively	ADV
cana-620	202	12	the	the	DET
cana-620	202	13	intrusion	intrusion	NOUN
cana-620	202	14	detection	detection	NOUN
cana-620	202	15	algorithm	algorithm	NOUN
cana-620	202	16	can	can	AUX
cana-620	202	17	identify	identify	VERB
cana-620	202	18	unknown	unknown	ADJ
cana-620	202	19	assaults	assault	NOUN
cana-620	202	20	most	most	ADV
cana-620	202	21	likely	likely	ADV
cana-620	202	22	includes	include	VERB
cana-620	202	23	these	these	DET
cana-620	202	24	intrusion	intrusion	NOUN
cana-620	202	25	attempts	attempt	NOUN
cana-620	202	26	.	.	PUNCT
cana-620	203	1	the	the	DET
cana-620	203	2	distribution	distribution	NOUN
cana-620	203	3	of	of	ADP
cana-620	203	4	each	each	DET
cana-620	203	5	label	label	NOUN
cana-620	203	6	class	class	NOUN
cana-620	203	7	in	in	ADP
cana-620	203	8	the	the	DET
cana-620	203	9	test	test	NOUN
cana-620	203	10	sets	set	NOUN
cana-620	203	11	and	and	CCONJ
cana-620	203	12	training	training	NOUN
cana-620	203	13	sets	set	NOUN
cana-620	203	14	and	and	CCONJ
cana-620	203	15	is	be	AUX
cana-620	203	16	shown	show	VERB
cana-620	203	17	in	in	ADP
cana-620	203	18	table	table	NOUN
cana-620	203	19	1	1	NUM
cana-620	203	20	.	.	PUNCT
cana-620	203	21	table	table	NOUN
cana-620	203	22	1	1	NUM
cana-620	203	23	.	.	X
cana-620	203	24	number	number	NOUN
cana-620	203	25	of	of	ADP
cana-620	203	26	features	feature	NOUN
cana-620	203	27	in	in	ADP
cana-620	203	28	each	each	DET
cana-620	203	29	subclass	subclass	NOUN
cana-620	203	30	in	in	ADP
cana-620	203	31	training	training	NOUN
cana-620	203	32	and	and	CCONJ
cana-620	203	33	test	test	NOUN
cana-620	203	34	set	set	VERB
cana-620	203	35	class	class	NOUN
cana-620	203	36	normal	normal	ADJ
cana-620	203	37	dos	do	NOUN
cana-620	203	38	u2r	u2r	NOUN
cana-620	203	39	r2l	r2l	NOUN
cana-620	203	40	probe	probe	VERB
cana-620	203	41	total	total	ADJ
cana-620	203	42	training	training	NOUN
cana-620	203	43	set	set	VERB
cana-620	203	44	67343	67343	NUM
cana-620	203	45	45927	45927	NUM
cana-620	203	46	52	52	NUM
cana-620	203	47	995	995	NUM
cana-620	203	48	11656	11656	NUM
cana-620	203	49	125973	125973	NUM
cana-620	203	50	test	test	NOUN
cana-620	203	51	set	set	VERB
cana-620	203	52	9711	9711	NUM
cana-620	203	53	7458	7458	NUM
cana-620	203	54	200	200	NUM
cana-620	203	55	2754	2754	NUM
cana-620	203	56	2421	2421	NUM
cana-620	203	57	22544	22544	NUM
cana-620	203	58	before	before	ADP
cana-620	203	59	training	train	VERB
cana-620	203	60	the	the	DET
cana-620	203	61	model	model	NOUN
cana-620	203	62	,	,	PUNCT
cana-620	203	63	the	the	DET
cana-620	203	64	data	datum	NOUN
cana-620	203	65	in	in	ADP
cana-620	203	66	the	the	DET
cana-620	203	67	dataset	dataset	NOUN
cana-620	203	68	needs	need	NOUN
cana-620	203	69	to	to	PART
cana-620	203	70	be	be	AUX
cana-620	203	71	pre	pre	VERB
cana-620	203	72	-	-	VERB
cana-620	203	73	processed	processed	ADJ
cana-620	203	74	:	:	PUNCT
cana-620	203	75	pre	pre	ADJ
cana-620	203	76	-	-	ADJ
cana-620	203	77	processing	processing	ADJ
cana-620	203	78	training	training	NOUN
cana-620	203	79	set	set	VERB
cana-620	203	80	feature	feature	NOUN
cana-620	203	81	selection	selection	NOUN
cana-620	203	82	pre	pre	ADJ
cana-620	203	83	-	-	ADJ
cana-620	203	84	processing	processing	ADJ
cana-620	203	85	train	train	NOUN
cana-620	203	86	the	the	DET
cana-620	203	87	welm	welm	PROPN
cana-620	203	88	model	model	NOUN
cana-620	203	89	perform	perform	VERB
cana-620	203	90	welm	welm	ADJ
cana-620	203	91	classification	classification	NOUN
cana-620	203	92	test	test	NOUN
cana-620	203	93	set	set	VERB
cana-620	203	94	feature	feature	NOUN
cana-620	203	95	selection	selection	NOUN
cana-620	203	96	woa	woa	AUX
cana-620	203	97	optimization	optimization	NOUN
cana-620	203	98	test	test	NOUN
cana-620	203	99	results	result	VERB
cana-620	203	100	communications	communication	NOUN
cana-620	203	101	on	on	ADP
cana-620	203	102	applied	apply	VERB
cana-620	203	103	nonlinear	nonlinear	ADJ
cana-620	203	104	analysis	analysis	NOUN
cana-620	203	105	issn	issn	NOUN
cana-620	203	106	:	:	PUNCT
cana-620	203	107	1074	1074	NUM
cana-620	203	108	-	-	PUNCT
cana-620	203	109	133x	133x	NUM
cana-620	203	110	vol	vol	NOUN
cana-620	203	111	31	31	NUM
cana-620	203	112	no	no	NOUN
cana-620	203	113	.	.	PUNCT
cana-620	204	1	2s	2s	NUM
cana-620	204	2	(	(	PUNCT
cana-620	204	3	2024	2024	NUM
cana-620	204	4	)	)	PUNCT
cana-620	204	5	199	199	NUM
cana-620	204	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	204	7	transform	transform	VERB
cana-620	204	8	the	the	DET
cana-620	204	9	character	character	NOUN
cana-620	204	10	type	type	NOUN
cana-620	204	11	feature	feature	NOUN
cana-620	204	12	into	into	ADP
cana-620	204	13	the	the	DET
cana-620	204	14	numerical	numerical	PROPN
cana-620	204	15	nsl	nsl	PROPN
cana-620	204	16	-	-	PUNCT
cana-620	204	17	kdd	kdd	PROPN
cana-620	204	18	dataset	dataset	NOUN
cana-620	204	19	's	's	PART
cana-620	204	20	forty	forty	NUM
cana-620	204	21	-	-	PUNCT
cana-620	204	22	one	one	NUM
cana-620	204	23	-	-	PUNCT
cana-620	204	24	dimensional	dimensional	ADJ
cana-620	204	25	feature	feature	NOUN
cana-620	204	26	,	,	PUNCT
cana-620	204	27	as	as	ADV
cana-620	204	28	well	well	ADV
cana-620	204	29	as	as	ADP
cana-620	204	30	its	its	PRON
cana-620	204	31	third	third	ADV
cana-620	204	32	-	-	PUNCT
cana-620	204	33	dimensional	dimensional	ADJ
cana-620	204	34	feature	feature	NOUN
cana-620	204	35	(	(	PUNCT
cana-620	204	36	service	service	NOUN
cana-620	204	37	)	)	PUNCT
cana-620	204	38	,	,	PUNCT
cana-620	204	39	fourth	fourth	ADJ
cana-620	204	40	-	-	PUNCT
cana-620	204	41	dimensional	dimensional	ADJ
cana-620	204	42	feature	feature	NOUN
cana-620	204	43	(	(	PUNCT
cana-620	204	44	connection	connection	NOUN
cana-620	204	45	)	)	PUNCT
cana-620	204	46	and	and	CCONJ
cana-620	204	47	second	second	ADV
cana-620	204	48	-	-	PUNCT
cana-620	204	49	dimensional	dimensional	ADJ
cana-620	204	50	feature	feature	NOUN
cana-620	204	51	(	(	PUNCT
cana-620	204	52	protocol	protocol	NOUN
cana-620	204	53	type	type	NOUN
cana-620	204	54	)	)	PUNCT
cana-620	204	55	.	.	PUNCT
cana-620	205	1	it	it	PRON
cana-620	205	2	is	be	AUX
cana-620	205	3	necessary	necessary	ADJ
cana-620	205	4	to	to	PART
cana-620	205	5	transform	transform	VERB
cana-620	205	6	the	the	DET
cana-620	205	7	state	state	NOUN
cana-620	205	8	(	(	PUNCT
cana-620	205	9	flag	flag	NOUN
cana-620	205	10	)	)	PUNCT
cana-620	205	11	,	,	PUNCT
cana-620	205	12	which	which	PRON
cana-620	205	13	is	be	AUX
cana-620	205	14	a	a	DET
cana-620	205	15	character	character	NOUN
cana-620	205	16	type	type	NOUN
cana-620	205	17	characteristic	characteristic	NOUN
cana-620	205	18	,	,	PUNCT
cana-620	205	19	into	into	ADP
cana-620	205	20	a	a	DET
cana-620	205	21	numerical	numerical	ADJ
cana-620	205	22	type	type	NOUN
cana-620	205	23	.	.	PUNCT
cana-620	206	1	in	in	ADP
cana-620	206	2	the	the	DET
cana-620	206	3	second	second	ADJ
cana-620	206	4	dimension	dimension	NOUN
cana-620	206	5	feature	feature	NOUN
cana-620	206	6	,	,	PUNCT
cana-620	206	7	tcmp	tcmp	PROPN
cana-620	206	8	should	should	AUX
cana-620	206	9	be	be	AUX
cana-620	206	10	indicated	indicate	VERB
cana-620	206	11	as	as	ADP
cana-620	206	12	1	1	NUM
cana-620	206	13	,	,	PUNCT
cana-620	206	14	udp	udp	NOUN
cana-620	206	15	as	as	ADP
cana-620	206	16	2	2	NUM
cana-620	206	17	,	,	PUNCT
cana-620	206	18	and	and	CCONJ
cana-620	206	19	tcp	tcp	ADJ
cana-620	206	20	as	as	ADP
cana-620	206	21	3	3	NUM
cana-620	206	22	.	.	PUNCT
cana-620	207	1	the	the	DET
cana-620	207	2	67	67	NUM
cana-620	207	3	service	service	NOUN
cana-620	207	4	types	type	NOUN
cana-620	207	5	in	in	ADP
cana-620	207	6	the	the	DET
cana-620	207	7	third	third	ADJ
cana-620	207	8	dimension	dimension	NOUN
cana-620	207	9	feature	feature	NOUN
cana-620	207	10	are	be	AUX
cana-620	207	11	respectively	respectively	ADV
cana-620	207	12	recorded	record	VERB
cana-620	207	13	as	as	ADP
cana-620	207	14	1	1	NUM
cana-620	207	15	to	to	PART
cana-620	207	16	67	67	NUM
cana-620	207	17	in	in	ADP
cana-620	207	18	the	the	DET
cana-620	207	19	alphabetical	alphabetical	ADJ
cana-620	207	20	order	order	NOUN
cana-620	207	21	by	by	ADP
cana-620	207	22	their	their	PRON
cana-620	207	23	names	name	NOUN
cana-620	207	24	.	.	PUNCT
cana-620	208	1	in	in	ADP
cana-620	208	2	the	the	DET
cana-620	208	3	fourth	fourth	ADJ
cana-620	208	4	dimension	dimension	NOUN
cana-620	208	5	feature	feature	NOUN
cana-620	208	6	,	,	PUNCT
cana-620	208	7	the	the	DET
cana-620	208	8	11	11	NUM
cana-620	208	9	kinds	kind	NOUN
cana-620	208	10	of	of	ADP
cana-620	208	11	flag	flag	NOUN
cana-620	208	12	states	state	NOUN
cana-620	208	13	are	be	AUX
cana-620	208	14	recorded	record	VERB
cana-620	208	15	as	as	ADP
cana-620	208	16	1~11	1~11	NUM
cana-620	208	17	respectively	respectively	ADV
cana-620	208	18	.	.	PUNCT
cana-620	209	1	in	in	ADP
cana-620	209	2	the	the	DET
cana-620	209	3	42nd	42nd	ADJ
cana-620	209	4	dimension	dimension	NOUN
cana-620	209	5	label	label	NOUN
cana-620	209	6	bits	bit	NOUN
cana-620	209	7	,	,	PUNCT
cana-620	209	8	there	there	PRON
cana-620	209	9	are	be	VERB
cana-620	209	10	5	5	NUM
cana-620	209	11	types	type	NOUN
cana-620	209	12	of	of	ADP
cana-620	209	13	labels	label	NOUN
cana-620	209	14	:	:	PUNCT
cana-620	209	15	dos	do	NOUN
cana-620	209	16	,	,	PUNCT
cana-620	209	17	normal	normal	ADJ
cana-620	209	18	,	,	PUNCT
cana-620	209	19	probe	probe	NOUN
cana-620	209	20	,	,	PUNCT
cana-620	209	21	u2r	u2r	NOUN
cana-620	209	22	and	and	CCONJ
cana-620	209	23	r2l	r2l	NOUN
cana-620	209	24	,	,	PUNCT
cana-620	209	25	which	which	PRON
cana-620	209	26	are	be	AUX
cana-620	209	27	recorded	record	VERB
cana-620	209	28	as	as	ADP
cana-620	209	29	0~4	0~4	X
cana-620	209	30	respectively	respectively	ADV
cana-620	209	31	.	.	PUNCT
cana-620	210	1	formulas	formula	NOUN
cana-620	210	2	(	(	PUNCT
cana-620	210	3	18	18	NUM
cana-620	210	4	)	)	PUNCT
cana-620	210	5	and	and	CCONJ
cana-620	210	6	(	(	PUNCT
cana-620	210	7	19	19	NUM
cana-620	210	8	)	)	PUNCT
cana-620	210	9	are	be	AUX
cana-620	210	10	utilised	utilise	VERB
cana-620	210	11	to	to	PART
cana-620	210	12	analyse	analyse	VERB
cana-620	210	13	the	the	DET
cana-620	210	14	numerical	numerical	PROPN
cana-620	210	15	data	datum	NOUN
cana-620	210	16	set	set	VERB
cana-620	210	17	from	from	ADP
cana-620	210	18	the	the	DET
cana-620	210	19	previous	previous	ADJ
cana-620	210	20	stage	stage	NOUN
cana-620	210	21	,	,	PUNCT
cana-620	210	22	and	and	CCONJ
cana-620	210	23	the	the	DET
cana-620	210	24	measurement	measurement	NOUN
cana-620	210	25	units	unit	NOUN
cana-620	210	26	between	between	ADP
cana-620	210	27	different	different	ADJ
cana-620	210	28	eigenvalues	eigenvalue	NOUN
cana-620	210	29	are	be	AUX
cana-620	210	30	unified	unified	ADJ
cana-620	210	31	to	to	PART
cana-620	210	32	lessen	lessen	VERB
cana-620	210	33	the	the	DET
cana-620	210	34	detection	detection	NOUN
cana-620	210	35	results	result	NOUN
cana-620	210	36	brought	bring	VERB
cana-620	210	37	on	on	ADP
cana-620	210	38	by	by	ADP
cana-620	210	39	the	the	DET
cana-620	210	40	difference	difference	NOUN
cana-620	210	41	in	in	ADP
cana-620	210	42	measurement	measurement	NOUN
cana-620	210	43	units	unit	NOUN
cana-620	210	44	.	.	PUNCT
cana-620	211	1	influence	influence	NOUN
cana-620	211	2	.	.	PUNCT
cana-620	212	1	normalized⁡formula:⁡𝑥1	normalized⁡formula:⁡𝑥1	PROPN
cana-620	212	2	=	=	SYM
cana-620	212	3	𝑥−	𝑥−	PROPN
cana-620	212	4	�	�	PROPN
cana-620	212	5	̅	̅	NOUN
cana-620	212	6	�	�	NOUN
cana-620	212	7	⁡	⁡	X
cana-620	212	8	𝜎	𝜎	X
cana-620	212	9	(	(	PUNCT
cana-620	212	10	18	18	NUM
cana-620	212	11	)	)	PUNCT
cana-620	212	12	in	in	ADP
cana-620	212	13	the	the	DET
cana-620	212	14	formula	formula	NOUN
cana-620	212	15	:	:	PUNCT
cana-620	212	16	σ	σ	NOUN
cana-620	212	17	is	be	AUX
cana-620	212	18	the	the	DET
cana-620	212	19	eigenvalues	eigenvalues	PROPN
cana-620	212	20	standard	standard	ADJ
cana-620	212	21	deviation	deviation	NOUN
cana-620	212	22	;	;	PUNCT
cana-620	212	23	x	x	X
cana-620	212	24	is	be	AUX
cana-620	212	25	the	the	DET
cana-620	212	26	eigenvalue	eigenvalue	NOUN
cana-620	212	27	;	;	PUNCT
cana-620	212	28	x1	x1	NUM
cana-620	212	29	is	be	AUX
cana-620	212	30	the	the	DET
cana-620	212	31	standardization	standardization	NOUN
cana-620	212	32	result	result	NOUN
cana-620	212	33	of	of	ADP
cana-620	212	34	the	the	DET
cana-620	212	35	dimension	dimension	NOUN
cana-620	212	36	of	of	ADP
cana-620	212	37	each	each	DET
cana-620	212	38	data	datum	NOUN
cana-620	212	39	sample	sample	NOUN
cana-620	212	40	,	,	PUNCT
cana-620	212	41	x	x	PRON
cana-620	212	42	̅	̅	NOUN
cana-620	212	43	is	be	AUX
cana-620	212	44	the	the	DET
cana-620	212	45	eigenvalues	eigenvalue	NOUN
cana-620	212	46	mean	mean	NOUN
cana-620	212	47	value	value	NOUN
cana-620	212	48	.	.	PUNCT
cana-620	213	1	the	the	DET
cana-620	213	2	normalization	normalization	NOUN
cana-620	213	3	formula	formula	NOUN
cana-620	213	4	is	be	AUX
cana-620	213	5	:	:	PUNCT
cana-620	213	6	normalized⁡formula:⁡𝑥2	normalized⁡formula:⁡𝑥2	NOUN
cana-620	213	7	=	=	PROPN
cana-620	213	8	𝑥1	𝑥1	PROPN
cana-620	213	9	−	−	PROPN
cana-620	213	10	𝑥1𝑚𝑖𝑛	𝑥1𝑚𝑖𝑛	PROPN
cana-620	214	1	𝑥1𝑚𝑎𝑥	𝑥1𝑚𝑎𝑥	NUM
cana-620	214	2	−	−	PROPN
cana-620	214	3	𝑥1𝑚𝑖𝑛	𝑥1𝑚𝑖𝑛	NOUN
cana-620	214	4	⁡⁡⁡(19	⁡⁡⁡(19	NUM
cana-620	214	5	)	)	PUNCT
cana-620	214	6	in	in	ADP
cana-620	214	7	the	the	DET
cana-620	214	8	formula	formula	NOUN
cana-620	214	9	:	:	PUNCT
cana-620	214	10	x1max	x1max	PROPN
cana-620	214	11	is	be	AUX
cana-620	214	12	the	the	DET
cana-620	214	13	sample	sample	NOUN
cana-620	214	14	with	with	ADP
cana-620	214	15	highest	high	ADJ
cana-620	214	16	value	value	NOUN
cana-620	214	17	processed	process	VERB
cana-620	214	18	by	by	ADP
cana-620	214	19	formula	formula	NOUN
cana-620	214	20	for	for	ADP
cana-620	214	21	the	the	DET
cana-620	214	22	dimension	dimension	NOUN
cana-620	214	23	feature	feature	NOUN
cana-620	214	24	mentioned	mention	VERB
cana-620	214	25	(	(	PUNCT
cana-620	214	26	18	18	NUM
cana-620	214	27	)	)	PUNCT
cana-620	214	28	;	;	PUNCT
cana-620	214	29	x1min	x1min	PROPN
cana-620	214	30	is	be	AUX
cana-620	214	31	sample	sample	NOUN
cana-620	214	32	with	with	ADP
cana-620	214	33	highest	high	ADJ
cana-620	214	34	value	value	NOUN
cana-620	214	35	processed	process	VERB
cana-620	214	36	by	by	ADP
cana-620	214	37	formula	formula	NOUN
cana-620	214	38	for	for	ADP
cana-620	214	39	the	the	DET
cana-620	214	40	dimension	dimension	NOUN
cana-620	214	41	feature	feature	NOUN
cana-620	214	42	mentioned	mention	VERB
cana-620	214	43	(	(	PUNCT
cana-620	214	44	18	18	NUM
cana-620	214	45	)	)	PUNCT
cana-620	214	46	;	;	PUNCT
cana-620	214	47	x2	x2	PROPN
cana-620	214	48	is	be	AUX
cana-620	214	49	the	the	DET
cana-620	214	50	value	value	NOUN
cana-620	214	51	of	of	ADP
cana-620	214	52	each	each	DET
cana-620	214	53	data	datum	NOUN
cana-620	214	54	sample	sample	NOUN
cana-620	214	55	.	.	PUNCT
cana-620	215	1	the	the	DET
cana-620	215	2	result	result	NOUN
cana-620	215	3	after	after	ADP
cana-620	215	4	dimension	dimension	NOUN
cana-620	215	5	feature	feature	NOUN
cana-620	215	6	normalization	normalization	NOUN
cana-620	215	7	.	.	PUNCT
cana-620	216	1	3.2	3.2	NUM
cana-620	216	2	performance	performance	NOUN
cana-620	216	3	measures	measure	NOUN
cana-620	216	4	in	in	ADP
cana-620	216	5	this	this	DET
cana-620	216	6	paper	paper	NOUN
cana-620	216	7	,	,	PUNCT
cana-620	216	8	the	the	DET
cana-620	216	9	three	three	NUM
cana-620	216	10	performance	performance	NOUN
cana-620	216	11	analysis	analysis	NOUN
cana-620	216	12	indicators	indicator	NOUN
cana-620	216	13	of	of	ADP
cana-620	216	14	false	false	ADJ
cana-620	216	15	alarm	alarm	NOUN
cana-620	216	16	rate	rate	NOUN
cana-620	216	17	,	,	PUNCT
cana-620	216	18	recall	recall	NOUN
cana-620	216	19	rate	rate	NOUN
cana-620	216	20	and	and	CCONJ
cana-620	216	21	precision	precision	NOUN
cana-620	216	22	rate	rate	NOUN
cana-620	216	23	are	be	AUX
cana-620	216	24	used	use	VERB
cana-620	216	25	to	to	PART
cana-620	216	26	analyze	analyze	VERB
cana-620	216	27	the	the	DET
cana-620	216	28	advantages	advantage	NOUN
cana-620	216	29	and	and	CCONJ
cana-620	216	30	disadvantages	disadvantage	NOUN
cana-620	216	31	of	of	ADP
cana-620	216	32	the	the	DET
cana-620	216	33	algorithm	algorithm	NOUN
cana-620	216	34	in	in	ADP
cana-620	216	35	this	this	DET
cana-620	216	36	paper	paper	NOUN
cana-620	216	37	.	.	PUNCT
cana-620	217	1	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
cana-620	217	2	=	=	X
cana-620	217	3	𝑇𝑃+𝑇𝑁	𝑇𝑃+𝑇𝑁	ADJ
cana-620	217	4	𝑇𝑃+𝐹𝑃+𝑇𝑁+𝐹𝑁	𝑇𝑃+𝐹𝑃+𝑇𝑁+𝐹𝑁	PROPN
cana-620	217	5	(	(	PUNCT
cana-620	217	6	20	20	NUM
cana-620	217	7	)	)	PUNCT
cana-620	217	8	𝐹𝑎𝑙𝑠𝑒⁡𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒⁡𝑅𝑎𝑡𝑒(𝐹𝑃𝑅	𝐹𝑎𝑙𝑠𝑒⁡𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒⁡𝑅𝑎𝑡𝑒(𝐹𝑃𝑅	NOUN
cana-620	217	9	)	)	PUNCT
cana-620	217	10	=	=	SYM
cana-620	218	1	𝐹𝑃	𝐹𝑃	PROPN
cana-620	218	2	𝐹𝑃+𝑇𝑁	𝐹𝑃+𝑇𝑁	X
cana-620	218	3	⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡(21	⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡⁡(21	NOUN
cana-620	218	4	)	)	PUNCT
cana-620	218	5	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-620	218	6	=	=	SYM
cana-620	218	7	𝑇𝑃	𝑇𝑃	NOUN
cana-620	218	8	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
cana-620	218	9	(	(	PUNCT
cana-620	218	10	22	22	NUM
cana-620	218	11	)	)	PUNCT
cana-620	218	12	where	where	SCONJ
cana-620	218	13	fn	fn	NOUN
cana-620	218	14	represents	represent	VERB
cana-620	218	15	false	false	ADJ
cana-620	218	16	negative	negative	ADJ
cana-620	218	17	,	,	PUNCT
cana-620	218	18	tn	tn	PROPN
cana-620	218	19	represents	represent	VERB
cana-620	218	20	true	true	ADJ
cana-620	218	21	neutral	neutral	ADJ
cana-620	218	22	,	,	PUNCT
cana-620	218	23	fp	fp	X
cana-620	218	24	represents	represent	VERB
cana-620	218	25	false	false	ADJ
cana-620	218	26	positive	positive	ADJ
cana-620	218	27	and	and	CCONJ
cana-620	218	28	tp	tp	NOUN
cana-620	218	29	represents	represent	VERB
cana-620	218	30	true	true	ADJ
cana-620	218	31	positive	positive	ADJ
cana-620	218	32	and	and	CCONJ
cana-620	218	33	respectively	respectively	ADV
cana-620	218	34	.	.	PUNCT
cana-620	219	1	3.3	3.3	NUM
cana-620	219	2	data	datum	NOUN
cana-620	219	3	dimensionality	dimensionality	NOUN
cana-620	219	4	reduction	reduction	NOUN
cana-620	219	5	processing	process	VERB
cana-620	219	6	the	the	DET
cana-620	219	7	pre	pre	ADJ
cana-620	219	8	-	-	ADJ
cana-620	219	9	processed	process	VERB
cana-620	219	10	forty	forty	NUM
cana-620	219	11	-	-	PUNCT
cana-620	219	12	one	one	NUM
cana-620	219	13	dimensional	dimensional	ADJ
cana-620	219	14	data	datum	NOUN
cana-620	219	15	features	feature	NOUN
cana-620	219	16	are	be	AUX
cana-620	219	17	then	then	ADV
cana-620	219	18	evaluated	evaluate	VERB
cana-620	219	19	for	for	ADP
cana-620	219	20	correlation	correlation	NOUN
cana-620	219	21	using	use	VERB
cana-620	219	22	the	the	DET
cana-620	219	23	pearson	pearson	NOUN
cana-620	219	24	correlation	correlation	NOUN
cana-620	219	25	coefficient	coefficient	NOUN
cana-620	219	26	method	method	NOUN
cana-620	219	27	,	,	PUNCT
cana-620	219	28	yielding	yield	VERB
cana-620	219	29	a	a	DET
cana-620	219	30	weighted	weight	VERB
cana-620	219	31	ranking	rank	VERB
cana-620	219	32	diagram	diagram	NOUN
cana-620	219	33	of	of	ADP
cana-620	219	34	each	each	DET
cana-620	219	35	feature	feature	NOUN
cana-620	219	36	,	,	PUNCT
cana-620	219	37	in	in	ADP
cana-620	219	38	which	which	PRON
cana-620	219	39	the	the	DET
cana-620	219	40	ranking	ranking	ADJ
cana-620	219	41	order	order	NOUN
cana-620	219	42	is	be	AUX
cana-620	219	43	organised	organise	VERB
cana-620	219	44	in	in	ADP
cana-620	219	45	accordance	accordance	NOUN
cana-620	219	46	with	with	ADP
cana-620	219	47	the	the	DET
cana-620	219	48	nsl	nsl	NOUN
cana-620	219	49	-	-	PUNCT
cana-620	219	50	kdd	kdd	NOUN
cana-620	219	51	feature	feature	NOUN
cana-620	219	52	order	order	NOUN
cana-620	219	53	as	as	SCONJ
cana-620	219	54	shown	show	VERB
cana-620	219	55	in	in	ADP
cana-620	219	56	figure	figure	NOUN
cana-620	219	57	3	3	NUM
cana-620	219	58	.	.	PUNCT
cana-620	220	1	communications	communication	NOUN
cana-620	220	2	on	on	ADP
cana-620	220	3	applied	apply	VERB
cana-620	220	4	nonlinear	nonlinear	ADJ
cana-620	220	5	analysis	analysis	NOUN
cana-620	220	6	issn	issn	NOUN
cana-620	220	7	:	:	PUNCT
cana-620	220	8	1074	1074	NUM
cana-620	220	9	-	-	PUNCT
cana-620	220	10	133x	133x	NUM
cana-620	220	11	vol	vol	NOUN
cana-620	220	12	31	31	NUM
cana-620	220	13	no	no	NOUN
cana-620	220	14	.	.	PUNCT
cana-620	221	1	2s	2s	NUM
cana-620	221	2	(	(	PUNCT
cana-620	221	3	2024	2024	NUM
cana-620	221	4	)	)	PUNCT
cana-620	221	5	200	200	NUM
cana-620	221	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	221	7	figure.5	figure.5	PRON
cana-620	221	8	sorted	sort	VERB
cana-620	221	9	feature	feature	NOUN
cana-620	221	10	weight	weight	NOUN
cana-620	221	11	graph	graph	NOUN
cana-620	221	12	from	from	ADP
cana-620	221	13	the	the	DET
cana-620	221	14	experiment	experiment	NOUN
cana-620	221	15	,	,	PUNCT
cana-620	221	16	correlation	correlation	NOUN
cana-620	221	17	coefficient	coefficient	NOUN
cana-620	221	18	feature	feature	NOUN
cana-620	221	19	(	(	PUNCT
cana-620	221	20	corr)>0.05	corr)>0.05	NOUN
cana-620	221	21	were	be	AUX
cana-620	221	22	taken	take	VERB
cana-620	221	23	as	as	SCONJ
cana-620	221	24	the	the	DET
cana-620	221	25	test	test	NOUN
cana-620	221	26	and	and	CCONJ
cana-620	221	27	training	training	NOUN
cana-620	221	28	set	set	VERB
cana-620	221	29	after	after	SCONJ
cana-620	221	30	dimension	dimension	NOUN
cana-620	221	31	is	be	AUX
cana-620	221	32	reduced	reduce	VERB
cana-620	221	33	.	.	PUNCT
cana-620	222	1	and	and	CCONJ
cana-620	222	2	hence	hence	ADV
cana-620	222	3	,	,	PUNCT
cana-620	222	4	the	the	DET
cana-620	222	5	dimensionality	dimensionality	NOUN
cana-620	222	6	-	-	PUNCT
cana-620	222	7	reduced	reduce	VERB
cana-620	222	8	test	test	NOUN
cana-620	222	9	and	and	CCONJ
cana-620	222	10	training	training	NOUN
cana-620	222	11	set	set	NOUN
cana-620	222	12	contain	contain	VERB
cana-620	222	13	eighteen	eighteen	NUM
cana-620	222	14	feature	feature	NOUN
cana-620	222	15	dimensions	dimension	NOUN
cana-620	222	16	.	.	PUNCT
cana-620	223	1	4	4	X
cana-620	223	2	.	.	X
cana-620	223	3	simulation	simulation	NOUN
cana-620	223	4	and	and	CCONJ
cana-620	223	5	result	result	VERB
cana-620	223	6	analysis	analysis	NOUN
cana-620	223	7	the	the	DET
cana-620	223	8	simulation	simulation	NOUN
cana-620	223	9	environment	environment	NOUN
cana-620	223	10	of	of	ADP
cana-620	223	11	this	this	DET
cana-620	223	12	paper	paper	NOUN
cana-620	223	13	is	be	AUX
cana-620	223	14	the	the	DET
cana-620	223	15	inter	inter	ADJ
cana-620	223	16	i7	i7	NOUN
cana-620	223	17	processor	processor	NOUN
cana-620	223	18	3.2ghz	3.2ghz	NUM
cana-620	223	19	,	,	PUNCT
cana-620	223	20	8	8	NUM
cana-620	223	21	gb	gb	NOUN
cana-620	223	22	memory	memory	NOUN
cana-620	223	23	,	,	PUNCT
cana-620	223	24	which	which	PRON
cana-620	223	25	is	be	AUX
cana-620	223	26	realized	realize	VERB
cana-620	223	27	by	by	ADP
cana-620	223	28	compiling	compile	VERB
cana-620	223	29	a	a	DET
cana-620	223	30	simulation	simulation	NOUN
cana-620	223	31	program	program	NOUN
cana-620	223	32	using	use	VERB
cana-620	223	33	matlab	matlab	PROPN
cana-620	223	34	.	.	PUNCT
cana-620	224	1	(	(	PUNCT
cana-620	224	2	1	1	X
cana-620	224	3	)	)	PUNCT
cana-620	224	4	comparison	comparison	NOUN
cana-620	224	5	experiment	experiment	NOUN
cana-620	224	6	between	between	ADP
cana-620	224	7	weighted	weight	VERB
cana-620	224	8	elm	elm	NOUN
cana-620	224	9	and	and	CCONJ
cana-620	224	10	different	different	ADJ
cana-620	224	11	ml	ml	NOUN
cana-620	224	12	algorithms	algorithms	NOUN
cana-620	224	13	eighteen	eighteen	NUM
cana-620	224	14	layer	layer	NOUN
cana-620	224	15	nodes	node	NOUN
cana-620	224	16	of	of	ADP
cana-620	224	17	weighted	weight	VERB
cana-620	224	18	elm	elm	PROPN
cana-620	224	19	are	be	AUX
cana-620	224	20	set	set	VERB
cana-620	224	21	,	,	PUNCT
cana-620	224	22	the	the	DET
cana-620	224	23	output	output	NOUN
cana-620	224	24	node	node	ADJ
cana-620	224	25	layers	layer	NOUN
cana-620	224	26	are	be	AUX
cana-620	224	27	5	5	NUM
cana-620	224	28	,	,	PUNCT
cana-620	224	29	the	the	DET
cana-620	224	30	hidden	hide	VERB
cana-620	224	31	node	node	ADJ
cana-620	224	32	layers	layer	NOUN
cana-620	224	33	are	be	AUX
cana-620	224	34	250	250	NUM
cana-620	224	35	.	.	PUNCT
cana-620	225	1	the	the	DET
cana-620	225	2	kernel	kernel	PROPN
cana-620	225	3	function	function	VERB
cana-620	225	4	for	for	ADP
cana-620	225	5	case	case	NOUN
cana-620	225	6	2	2	NUM
cana-620	225	7	is	be	AUX
cana-620	225	8	chosen	choose	VERB
cana-620	225	9	to	to	PART
cana-620	225	10	be	be	AUX
cana-620	225	11	the	the	DET
cana-620	225	12	sigmoid	sigmoid	NOUN
cana-620	225	13	kernel	kernel	NOUN
cana-620	225	14	function	function	NOUN
cana-620	225	15	.	.	PUNCT
cana-620	226	1	this	this	DET
cana-620	226	2	study	study	NOUN
cana-620	226	3	compares	compare	VERB
cana-620	226	4	the	the	DET
cana-620	226	5	approach	approach	NOUN
cana-620	226	6	with	with	ADP
cana-620	226	7	the	the	DET
cana-620	226	8	detection	detection	NOUN
cana-620	226	9	outcomes	outcome	NOUN
cana-620	226	10	of	of	ADP
cana-620	226	11	the	the	DET
cana-620	226	12	random	random	ADJ
cana-620	226	13	forest	forest	NOUN
cana-620	226	14	(	(	PUNCT
cana-620	226	15	rf	rf	NOUN
cana-620	226	16	)	)	PUNCT
cana-620	226	17	,	,	PUNCT
cana-620	226	18	k	k	X
cana-620	226	19	-	-	PUNCT
cana-620	226	20	nearest	near	ADJ
cana-620	226	21	neighbor	neighbor	NOUN
cana-620	226	22	(	(	PUNCT
cana-620	226	23	knn	knn	PROPN
cana-620	226	24	)	)	PUNCT
cana-620	226	25	,	,	PUNCT
cana-620	226	26	bp	bp	PROPN
cana-620	226	27	neural	neural	ADJ
cana-620	226	28	network	network	NOUN
cana-620	226	29	,	,	PUNCT
cana-620	226	30	and	and	CCONJ
cana-620	226	31	extreme	extreme	ADJ
cana-620	226	32	learning	learning	NOUN
cana-620	226	33	machine	machine	NOUN
cana-620	226	34	(	(	PUNCT
cana-620	226	35	elm	elm	NOUN
cana-620	226	36	)	)	PUNCT
cana-620	226	37	algorithms	algorithm	NOUN
cana-620	226	38	.	.	PUNCT
cana-620	227	1	table	table	NOUN
cana-620	227	2	2	2	NUM
cana-620	227	3	displays	display	VERB
cana-620	227	4	the	the	DET
cana-620	227	5	results	result	NOUN
cana-620	227	6	of	of	ADP
cana-620	227	7	the	the	DET
cana-620	227	8	comparison	comparison	NOUN
cana-620	227	9	test	test	NOUN
cana-620	227	10	.	.	PUNCT
cana-620	228	1	table	table	NOUN
cana-620	228	2	2	2	NUM
cana-620	228	3	demonstrates	demonstrate	VERB
cana-620	228	4	that	that	SCONJ
cana-620	228	5	while	while	SCONJ
cana-620	228	6	the	the	DET
cana-620	228	7	weighted	weight	VERB
cana-620	228	8	extreme	extreme	ADJ
cana-620	228	9	learning	learning	NOUN
cana-620	228	10	machine	machine	NOUN
cana-620	228	11	algorithm	algorithm	NOUN
cana-620	228	12	(	(	PUNCT
cana-620	228	13	welm	welm	NOUN
cana-620	228	14	)	)	PUNCT
cana-620	228	15	has	have	VERB
cana-620	228	16	a	a	DET
cana-620	228	17	higher	high	ADJ
cana-620	228	18	recall	recall	NOUN
cana-620	228	19	rate	rate	NOUN
cana-620	228	20	than	than	ADP
cana-620	228	21	other	other	ADJ
cana-620	228	22	machine	machine	NOUN
cana-620	228	23	learning	learn	VERB
cana-620	228	24	algorithms	algorithm	NOUN
cana-620	228	25	,	,	PUNCT
cana-620	228	26	its	its	PRON
cana-620	228	27	detection	detection	NOUN
cana-620	228	28	effects	effect	NOUN
cana-620	228	29	for	for	ADP
cana-620	228	30	dos	do	NOUN
cana-620	228	31	,	,	PUNCT
cana-620	228	32	normal	normal	ADJ
cana-620	228	33	,	,	PUNCT
cana-620	228	34	probe	probe	NOUN
cana-620	228	35	,	,	PUNCT
cana-620	228	36	and	and	CCONJ
cana-620	228	37	u2r	u2r	NOUN
cana-620	228	38	and	and	CCONJ
cana-620	228	39	r2l	r2l	NOUN
cana-620	228	40	are	be	AUX
cana-620	228	41	comparable	comparable	ADJ
cana-620	228	42	to	to	ADP
cana-620	228	43	those	those	PRON
cana-620	228	44	of	of	ADP
cana-620	228	45	other	other	ADJ
cana-620	228	46	machine	machine	NOUN
cana-620	228	47	learning	learn	VERB
cana-620	228	48	techniques	technique	NOUN
cana-620	228	49	.	.	PUNCT
cana-620	229	1	because	because	SCONJ
cana-620	229	2	the	the	DET
cana-620	229	3	training	training	NOUN
cana-620	229	4	set	set	NOUN
cana-620	229	5	's	's	PART
cana-620	229	6	sample	sample	NOUN
cana-620	229	7	size	size	NOUN
cana-620	229	8	is	be	AUX
cana-620	229	9	relatively	relatively	ADV
cana-620	229	10	small	small	ADJ
cana-620	229	11	and	and	CCONJ
cana-620	229	12	the	the	DET
cana-620	229	13	data	datum	NOUN
cana-620	229	14	set	set	VERB
cana-620	229	15	is	be	AUX
cana-620	229	16	unbalanced	unbalanced	ADJ
cana-620	229	17	due	due	ADP
cana-620	229	18	to	to	ADP
cana-620	229	19	the	the	DET
cana-620	229	20	two	two	NUM
cana-620	229	21	principal	principal	ADJ
cana-620	229	22	assaults	assault	NOUN
cana-620	229	23	'	'	PART
cana-620	229	24	reduced	reduced	ADJ
cana-620	229	25	appearance	appearance	NOUN
cana-620	229	26	in	in	ADP
cana-620	229	27	real	real	ADJ
cana-620	229	28	-	-	PUNCT
cana-620	229	29	world	world	NOUN
cana-620	229	30	scenarios	scenario	NOUN
cana-620	229	31	,	,	PUNCT
cana-620	229	32	u2r	u2r	NOUN
cana-620	229	33	and	and	CCONJ
cana-620	229	34	r2l	r2l	NOUN
cana-620	229	35	recall	recall	NOUN
cana-620	229	36	rates	rate	NOUN
cana-620	229	37	are	be	AUX
cana-620	229	38	still	still	ADV
cana-620	229	39	quite	quite	ADV
cana-620	229	40	low	low	ADJ
cana-620	229	41	.	.	PUNCT
cana-620	230	1	(	(	PUNCT
cana-620	230	2	2	2	X
cana-620	230	3	)	)	PUNCT
cana-620	230	4	relative	relative	ADJ
cana-620	230	5	analysis	analysis	NOUN
cana-620	230	6	of	of	ADP
cana-620	230	7	woa	woa	NOUN
cana-620	230	8	-	-	PUNCT
cana-620	230	9	welm	welm	ADJ
cana-620	230	10	algorithm	algorithm	NOUN
cana-620	230	11	and	and	CCONJ
cana-620	230	12	welm	welm	ADJ
cana-620	230	13	0	0	NUM
cana-620	230	14	0.05	0.05	NUM
cana-620	230	15	0.1	0.1	NUM
cana-620	230	16	0.15	0.15	NUM
cana-620	230	17	0.2	0.2	NUM
cana-620	230	18	0.25	0.25	NUM
cana-620	230	19	0.3	0.3	NUM
cana-620	230	20	1	1	NUM
cana-620	230	21	5	5	NUM
cana-620	230	22	9	9	NUM
cana-620	230	23	13	13	NUM
cana-620	230	24	17	17	NUM
cana-620	230	25	21	21	NUM
cana-620	230	26	25	25	NUM
cana-620	230	27	29	29	NUM
cana-620	230	28	33	33	NUM
cana-620	230	29	37	37	NUM
cana-620	230	30	c	c	NOUN
cana-620	230	31	o	o	PROPN
cana-620	230	32	rr	rr	NOUN
cana-620	230	33	dimension	dimension	NOUN
cana-620	230	34	communications	communication	NOUN
cana-620	230	35	on	on	ADP
cana-620	230	36	applied	apply	VERB
cana-620	230	37	nonlinear	nonlinear	ADJ
cana-620	230	38	analysis	analysis	NOUN
cana-620	230	39	issn	issn	NOUN
cana-620	230	40	:	:	PUNCT
cana-620	230	41	1074	1074	NUM
cana-620	230	42	-	-	PUNCT
cana-620	230	43	133x	133x	NUM
cana-620	230	44	vol	vol	NOUN
cana-620	230	45	31	31	NUM
cana-620	230	46	no	no	NOUN
cana-620	230	47	.	.	PUNCT
cana-620	231	1	2s	2s	NUM
cana-620	231	2	(	(	PUNCT
cana-620	231	3	2024	2024	NUM
cana-620	231	4	)	)	PUNCT
cana-620	231	5	201	201	NUM
cana-620	232	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	232	2	table	table	NOUN
cana-620	232	3	2	2	NUM
cana-620	232	4	.	.	PUNCT
cana-620	232	5	prediction	prediction	NOUN
cana-620	232	6	results	result	NOUN
cana-620	232	7	of	of	ADP
cana-620	232	8	various	various	ADJ
cana-620	232	9	techniques	technique	NOUN
cana-620	232	10	detection	detection	NOUN
cana-620	232	11	model	model	NOUN
cana-620	232	12	recall	recall	NOUN
cana-620	232	13	(	(	PUNCT
cana-620	232	14	%	%	NOUN
cana-620	232	15	)	)	PUNCT
cana-620	232	16	accuracy	accuracy	NOUN
cana-620	232	17	(	(	PUNCT
cana-620	232	18	%	%	INTJ
cana-620	232	19	)	)	PUNCT
cana-620	232	20	false	false	ADJ
cana-620	232	21	alarm	alarm	NOUN
cana-620	232	22	rate	rate	NOUN
cana-620	232	23	(	(	PUNCT
cana-620	232	24	%	%	INTJ
cana-620	232	25	)	)	PUNCT
cana-620	232	26	detection	detection	NOUN
cana-620	232	27	time(sec	time(sec	NOUN
cana-620	232	28	)	)	PUNCT
cana-620	232	29	normal	normal	ADJ
cana-620	232	30	dos	do	NOUN
cana-620	232	31	u2r	u2r	PROPN
cana-620	232	32	r2l	r2l	NOUN
cana-620	232	33	probe	probe	NOUN
cana-620	232	34	knn	knn	PROPN
cana-620	233	1	97	97	NUM
cana-620	233	2	76	76	NUM
cana-620	234	1	34	34	NUM
cana-620	234	2	11	11	NUM
cana-620	234	3	63	63	NUM
cana-620	234	4	81	81	NUM
cana-620	234	5	34	34	NUM
cana-620	234	6	3.1	3.1	NUM
cana-620	234	7	bpn	bpn	NOUN
cana-620	234	8	95	95	NUM
cana-620	234	9	74	74	NUM
cana-620	234	10	36	36	NUM
cana-620	234	11	24	24	NUM
cana-620	234	12	62	62	NUM
cana-620	234	13	81	81	NUM
cana-620	234	14	32	32	NUM
cana-620	234	15	3.1	3.1	NUM
cana-620	234	16	svm	svm	NOUN
cana-620	234	17	97	97	NUM
cana-620	234	18	73	73	NUM
cana-620	234	19	33	33	NUM
cana-620	234	20	45	45	NUM
cana-620	234	21	66	66	NUM
cana-620	234	22	82	82	NUM
cana-620	234	23	32	32	NUM
cana-620	234	24	3.0	3.0	NUM
cana-620	234	25	elm	elm	NOUN
cana-620	234	26	96	96	NUM
cana-620	234	27	77	77	NUM
cana-620	234	28	31	31	NUM
cana-620	234	29	46	46	NUM
cana-620	234	30	61	61	NUM
cana-620	234	31	83	83	NUM
cana-620	234	32	27	27	NUM
cana-620	234	33	2.4	2.4	NUM
cana-620	234	34	welm	welm	ADJ
cana-620	234	35	97	97	NUM
cana-620	234	36	78	78	NUM
cana-620	234	37	43	43	NUM
cana-620	234	38	44	44	NUM
cana-620	234	39	67	67	NUM
cana-620	234	40	85	85	NUM
cana-620	234	41	12	12	NUM
cana-620	234	42	2.2	2.2	NUM
cana-620	234	43	foaelm	foaelm	NOUN
cana-620	234	44	97	97	NUM
cana-620	234	45	77	77	NUM
cana-620	234	46	44	44	NUM
cana-620	234	47	46	46	NUM
cana-620	234	48	67	67	NUM
cana-620	234	49	87	87	NUM
cana-620	234	50	7	7	NUM
cana-620	234	51	1.7	1.7	NUM
cana-620	234	52	khoelm	khoelm	NOUN
cana-620	234	53	97	97	NUM
cana-620	234	54	78	78	NUM
cana-620	234	55	44	44	NUM
cana-620	234	56	47	47	NUM
cana-620	234	57	66	66	NUM
cana-620	234	58	87	87	NUM
cana-620	234	59	2	2	NUM
cana-620	234	60	1.5	1.5	NUM
cana-620	234	61	woaelm	woaelm	NOUN
cana-620	234	62	98	98	NUM
cana-620	234	63	79	79	NUM
cana-620	234	64	45	45	NUM
cana-620	234	65	48	48	NUM
cana-620	234	66	68	68	NUM
cana-620	234	67	88	88	NUM
cana-620	234	68	2	2	NUM
cana-620	234	69	1.3	1.3	NUM
cana-620	234	70	the	the	DET
cana-620	234	71	global	global	ADJ
cana-620	234	72	optimisation	optimisation	NOUN
cana-620	234	73	process	process	NOUN
cana-620	234	74	that	that	PRON
cana-620	234	75	the	the	DET
cana-620	234	76	woa	woa	VERB
cana-620	234	77	-	-	PUNCT
cana-620	234	78	optimized	optimize	VERB
cana-620	234	79	welm	welm	ADJ
cana-620	234	80	algorithm	algorithm	NOUN
cana-620	234	81	underwent	underwent	NOUN
cana-620	234	82	has	have	AUX
cana-620	234	83	boosted	boost	VERB
cana-620	234	84	the	the	DET
cana-620	234	85	recall	recall	NOUN
cana-620	234	86	rate	rate	NOUN
cana-620	234	87	of	of	ADP
cana-620	234	88	four	four	NUM
cana-620	234	89	distinct	distinct	ADJ
cana-620	234	90	attack	attack	NOUN
cana-620	234	91	kinds	kind	NOUN
cana-620	234	92	,	,	PUNCT
cana-620	234	93	as	as	SCONJ
cana-620	234	94	seen	see	VERB
cana-620	234	95	in	in	ADP
cana-620	234	96	table	table	NOUN
cana-620	234	97	2	2	NUM
cana-620	234	98	.	.	PUNCT
cana-620	235	1	in	in	ADP
cana-620	235	2	terms	term	NOUN
cana-620	235	3	of	of	ADP
cana-620	235	4	classification	classification	NOUN
cana-620	235	5	results	result	NOUN
cana-620	235	6	,	,	PUNCT
cana-620	235	7	woa	woa	NOUN
cana-620	235	8	-	-	PUNCT
cana-620	235	9	welm	welm	ADJ
cana-620	235	10	performs	perform	VERB
cana-620	235	11	better	well	ADV
cana-620	235	12	than	than	ADP
cana-620	235	13	kho	kho	NOUN
cana-620	235	14	-	-	PUNCT
cana-620	235	15	welm	welm	NOUN
cana-620	235	16	,	,	PUNCT
cana-620	235	17	especially	especially	ADV
cana-620	235	18	when	when	SCONJ
cana-620	235	19	it	it	PRON
cana-620	235	20	comes	come	VERB
cana-620	235	21	to	to	ADP
cana-620	235	22	the	the	DET
cana-620	235	23	recall	recall	NOUN
cana-620	235	24	rate	rate	NOUN
cana-620	235	25	of	of	ADP
cana-620	235	26	u2r	u2r	ADJ
cana-620	235	27	attacks	attack	NOUN
cana-620	235	28	,	,	PUNCT
cana-620	235	29	which	which	PRON
cana-620	235	30	is	be	AUX
cana-620	235	31	up	up	ADV
cana-620	235	32	8	8	NUM
cana-620	235	33	%	%	NOUN
cana-620	235	34	compared	compare	VERB
cana-620	235	35	to	to	ADP
cana-620	235	36	welm	welm	ADJ
cana-620	235	37	,	,	PUNCT
cana-620	235	38	the	the	DET
cana-620	235	39	test	test	NOUN
cana-620	235	40	set	set	VERB
cana-620	235	41	classification	classification	NOUN
cana-620	235	42	accuracy	accuracy	NOUN
cana-620	235	43	rate	rate	NOUN
cana-620	235	44	,	,	PUNCT
cana-620	235	45	which	which	PRON
cana-620	235	46	is	be	AUX
cana-620	235	47	up	up	ADV
cana-620	235	48	4	4	NUM
cana-620	235	49	%	%	NOUN
cana-620	235	50	,	,	PUNCT
cana-620	235	51	and	and	CCONJ
cana-620	235	52	the	the	DET
cana-620	235	53	false	false	ADJ
cana-620	235	54	alarm	alarm	NOUN
cana-620	235	55	rate	rate	NOUN
cana-620	235	56	,	,	PUNCT
cana-620	235	57	which	which	PRON
cana-620	235	58	is	be	AUX
cana-620	235	59	down	down	ADV
cana-620	235	60	4.5	4.5	NUM
cana-620	235	61	%	%	NOUN
cana-620	235	62	.	.	PUNCT
cana-620	236	1	under	under	ADP
cana-620	236	2	the	the	DET
cana-620	236	3	identical	identical	ADJ
cana-620	236	4	experimental	experimental	ADJ
cana-620	236	5	circumstances	circumstance	NOUN
cana-620	236	6	,	,	PUNCT
cana-620	236	7	the	the	DET
cana-620	236	8	whale	whale	NOUN
cana-620	236	9	size	size	NOUN
cana-620	236	10	is	be	AUX
cana-620	236	11	set	set	VERB
cana-620	236	12	to	to	ADP
cana-620	236	13	50	50	NUM
cana-620	236	14	,	,	PUNCT
cana-620	236	15	the	the	DET
cana-620	236	16	prey	prey	NOUN
cana-620	236	17	's	's	PART
cana-620	236	18	direction	direction	NOUN
cana-620	236	19	and	and	CCONJ
cana-620	236	20	distance	distance	NOUN
cana-620	236	21	are	be	AUX
cana-620	236	22	set	set	VERB
cana-620	236	23	to	to	ADP
cana-620	236	24	[	[	X
cana-620	236	25	-20	-20	NUM
cana-620	236	26	,	,	PUNCT
cana-620	236	27	20	20	NUM
cana-620	236	28	]	]	PUNCT
cana-620	236	29	,	,	PUNCT
cana-620	236	30	and	and	CCONJ
cana-620	236	31	the	the	DET
cana-620	236	32	step	step	NOUN
cana-620	236	33	size	size	NOUN
cana-620	236	34	control	control	NOUN
cana-620	236	35	factor	factor	NOUN
cana-620	236	36	is	be	AUX
cana-620	236	37	set	set	VERB
cana-620	236	38	to	to	ADP
cana-620	236	39	0.95	0.95	NUM
cana-620	236	40	.	.	PUNCT
cana-620	237	1	the	the	DET
cana-620	237	2	number	number	NOUN
cana-620	237	3	of	of	ADP
cana-620	237	4	iterations	iteration	NOUN
cana-620	237	5	is	be	AUX
cana-620	237	6	also	also	ADV
cana-620	237	7	set	set	VERB
cana-620	237	8	to	to	ADP
cana-620	237	9	300	300	NUM
cana-620	237	10	.	.	PUNCT
cana-620	238	1	the	the	DET
cana-620	238	2	foa	foa	PROPN
cana-620	238	3	-	-	PUNCT
cana-620	238	4	welm	welm	ADJ
cana-620	238	5	algorithm	algorithm	NOUN
cana-620	238	6	requires	require	VERB
cana-620	238	7	1.7	1.7	NUM
cana-620	238	8	seconds	second	NOUN
cana-620	238	9	to	to	PART
cana-620	238	10	train	train	VERB
cana-620	238	11	,	,	PUNCT
cana-620	238	12	followed	follow	VERB
cana-620	238	13	by	by	ADP
cana-620	238	14	the	the	DET
cana-620	238	15	kho	kho	PROPN
cana-620	238	16	-	-	PUNCT
cana-620	238	17	welm	welm	ADJ
cana-620	238	18	algorithm	algorithm	NOUN
cana-620	238	19	at	at	ADP
cana-620	238	20	1.5	1.5	NUM
cana-620	238	21	seconds	second	NOUN
cana-620	238	22	and	and	CCONJ
cana-620	238	23	the	the	DET
cana-620	238	24	woaelm	woaelm	NOUN
cana-620	238	25	algorithm	algorithm	NOUN
cana-620	238	26	at	at	ADP
cana-620	238	27	1.3	1.3	NUM
cana-620	238	28	seconds	second	NOUN
cana-620	238	29	.	.	PUNCT
cana-620	239	1	this	this	PRON
cana-620	239	2	is	be	AUX
cana-620	239	3	due	due	ADJ
cana-620	239	4	to	to	ADP
cana-620	239	5	the	the	DET
cana-620	239	6	adaptive	adaptive	ADJ
cana-620	239	7	capabilities	capability	NOUN
cana-620	239	8	of	of	ADP
cana-620	239	9	the	the	DET
cana-620	239	10	recently	recently	ADV
cana-620	239	11	implemented	implement	VERB
cana-620	239	12	optimisation	optimisation	NOUN
cana-620	239	13	method	method	NOUN
cana-620	239	14	increasing	increase	VERB
cana-620	239	15	the	the	DET
cana-620	239	16	time	time	NOUN
cana-620	239	17	complexity	complexity	NOUN
cana-620	239	18	,	,	PUNCT
cana-620	239	19	which	which	PRON
cana-620	239	20	increases	increase	VERB
cana-620	239	21	training	training	NOUN
cana-620	239	22	time	time	NOUN
cana-620	239	23	.	.	PUNCT
cana-620	240	1	figure	figure	NOUN
cana-620	240	2	.	.	PUNCT
cana-620	241	1	6	6	NUM
cana-620	241	2	recall	recall	NOUN
cana-620	241	3	percentage	percentage	NOUN
cana-620	241	4	under	under	ADP
cana-620	241	5	different	different	ADJ
cana-620	241	6	attacks	attack	NOUN
cana-620	241	7	0	0	NUM
cana-620	241	8	20	20	NUM
cana-620	241	9	40	40	NUM
cana-620	241	10	60	60	NUM
cana-620	241	11	80	80	NUM
cana-620	241	12	100	100	NUM
cana-620	241	13	120	120	NUM
cana-620	241	14	normal	normal	ADJ
cana-620	241	15	dos	do	NOUN
cana-620	241	16	u2r	u2r	NOUN
cana-620	241	17	r2l	r2l	NOUN
cana-620	241	18	probe	probe	VERB
cana-620	241	19	r	r	NOUN
cana-620	241	20	ec	ec	PROPN
cana-620	241	21	al	al	PROPN
cana-620	241	22	l	l	PROPN
cana-620	241	23	(	(	PUNCT
cana-620	241	24	%	%	NOUN
cana-620	241	25	)	)	PUNCT
cana-620	241	26	knn	knn	PROPN
cana-620	241	27	bpn	bpn	PROPN
cana-620	241	28	svm	svm	PROPN
cana-620	241	29	elm	elm	PROPN
cana-620	241	30	welm	welm	PROPN
cana-620	241	31	foaelm	foaelm	PROPN
cana-620	241	32	khoelm	khoelm	NOUN
cana-620	241	33	woaelm	woaelm	NOUN
cana-620	241	34	communications	communication	NOUN
cana-620	241	35	on	on	ADP
cana-620	241	36	applied	apply	VERB
cana-620	241	37	nonlinear	nonlinear	ADJ
cana-620	241	38	analysis	analysis	NOUN
cana-620	241	39	issn	issn	NOUN
cana-620	241	40	:	:	PUNCT
cana-620	241	41	1074	1074	NUM
cana-620	241	42	-	-	PUNCT
cana-620	241	43	133x	133x	NUM
cana-620	241	44	vol	vol	NOUN
cana-620	241	45	31	31	NUM
cana-620	241	46	no	no	NOUN
cana-620	241	47	.	.	PUNCT
cana-620	242	1	2s	2s	NUM
cana-620	242	2	(	(	PUNCT
cana-620	242	3	2024	2024	NUM
cana-620	242	4	)	)	PUNCT
cana-620	242	5	202	202	NUM
cana-620	242	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	242	7	from	from	ADP
cana-620	242	8	the	the	DET
cana-620	242	9	figure	figure	NOUN
cana-620	242	10	6	6	NUM
cana-620	242	11	,	,	PUNCT
cana-620	242	12	it	it	PRON
cana-620	242	13	is	be	AUX
cana-620	242	14	clear	clear	ADJ
cana-620	242	15	that	that	SCONJ
cana-620	242	16	when	when	SCONJ
cana-620	242	17	no	no	DET
cana-620	242	18	attack	attack	NOUN
cana-620	242	19	is	be	AUX
cana-620	242	20	added	add	VERB
cana-620	242	21	woaelm	woaelm	NOUN
cana-620	242	22	performed	perform	VERB
cana-620	242	23	better	well	ADV
cana-620	242	24	than	than	SCONJ
cana-620	242	25	bpn	bpn	VERB
cana-620	242	26	and	and	CCONJ
cana-620	242	27	elm	elm	NOUN
cana-620	242	28	by	by	ADP
cana-620	242	29	3	3	NUM
cana-620	242	30	%	%	NOUN
cana-620	242	31	and	and	CCONJ
cana-620	242	32	2	2	NUM
cana-620	242	33	%	%	NOUN
cana-620	242	34	respectively	respectively	ADV
cana-620	242	35	.	.	PUNCT
cana-620	243	1	when	when	SCONJ
cana-620	243	2	dos	do	NOUN
cana-620	243	3	attack	attack	NOUN
cana-620	243	4	is	be	AUX
cana-620	243	5	added	add	VERB
cana-620	243	6	woaelm	woaelm	NOUN
cana-620	243	7	performed	perform	VERB
cana-620	243	8	better	well	ADV
cana-620	243	9	than	than	ADP
cana-620	243	10	svm	svm	ADJ
cana-620	243	11	and	and	CCONJ
cana-620	243	12	welm	welm	ADJ
cana-620	243	13	by	by	ADP
cana-620	243	14	8.21	8.21	NUM
cana-620	243	15	%	%	NOUN
cana-620	243	16	and	and	CCONJ
cana-620	243	17	1.2	1.2	NUM
cana-620	243	18	%	%	NOUN
cana-620	243	19	respectively	respectively	ADV
cana-620	243	20	.	.	PUNCT
cana-620	244	1	when	when	SCONJ
cana-620	244	2	r2l	r2l	NOUN
cana-620	244	3	attack	attack	NOUN
cana-620	244	4	is	be	AUX
cana-620	244	5	considered	consider	VERB
cana-620	244	6	woaelm	woaelm	NOUN
cana-620	244	7	performed	perform	VERB
cana-620	244	8	better	well	ADV
cana-620	244	9	than	than	ADP
cana-620	244	10	foaelm	foaelm	ADJ
cana-620	244	11	and	and	CCONJ
cana-620	244	12	khoelm	khoelm	NOUN
cana-620	244	13	by	by	ADP
cana-620	244	14	4	4	NUM
cana-620	244	15	%	%	NOUN
cana-620	244	16	and	and	CCONJ
cana-620	244	17	2	2	NUM
cana-620	244	18	%	%	NOUN
cana-620	244	19	respectively	respectively	ADV
cana-620	244	20	.	.	PUNCT
cana-620	245	1	finally	finally	ADV
cana-620	245	2	,	,	PUNCT
cana-620	245	3	woaelm	woaelm	NOUN
cana-620	245	4	is	be	AUX
cana-620	245	5	compared	compare	VERB
cana-620	245	6	with	with	ADP
cana-620	245	7	other	other	ADJ
cana-620	245	8	algorithms	algorithm	NOUN
cana-620	245	9	in	in	ADP
cana-620	245	10	probe	probe	NOUN
cana-620	245	11	attack	attack	NOUN
cana-620	245	12	.	.	PUNCT
cana-620	246	1	woaelm	woaelm	NOUN
cana-620	246	2	performed	perform	VERB
cana-620	246	3	better	well	ADV
cana-620	246	4	than	than	ADP
cana-620	246	5	knn	knn	PROPN
cana-620	246	6	and	and	CCONJ
cana-620	246	7	elm	elm	NOUN
cana-620	246	8	by	by	ADP
cana-620	246	9	7.9	7.9	NUM
cana-620	246	10	%	%	NOUN
cana-620	246	11	and	and	CCONJ
cana-620	246	12	11.4	11.4	NUM
cana-620	246	13	%	%	NOUN
cana-620	246	14	.	.	PUNCT
cana-620	247	1	figure	figure	NOUN
cana-620	247	2	.	.	PUNCT
cana-620	248	1	7	7	NUM
cana-620	248	2	detection	detection	NOUN
cana-620	248	3	time	time	NOUN
cana-620	248	4	,	,	PUNCT
cana-620	248	5	accuracy	accuracy	NOUN
cana-620	248	6	and	and	CCONJ
cana-620	248	7	false	false	ADJ
cana-620	248	8	alarm	alarm	NOUN
cana-620	248	9	rate	rate	NOUN
cana-620	248	10	under	under	ADP
cana-620	248	11	different	different	ADJ
cana-620	248	12	attacks	attack	NOUN
cana-620	248	13	it	it	PRON
cana-620	248	14	is	be	AUX
cana-620	248	15	obvious	obvious	ADJ
cana-620	248	16	from	from	ADP
cana-620	248	17	the	the	DET
cana-620	248	18	above	above	ADJ
cana-620	248	19	figure	figure	NOUN
cana-620	248	20	that	that	PRON
cana-620	248	21	woaelm	woaelm	NOUN
cana-620	248	22	outperformed	outperform	VERB
cana-620	248	23	other	other	ADJ
cana-620	248	24	algorithms	algorithm	NOUN
cana-620	248	25	in	in	ADP
cana-620	248	26	parameters	parameter	NOUN
cana-620	248	27	such	such	ADJ
cana-620	248	28	as	as	ADP
cana-620	248	29	detection	detection	NOUN
cana-620	248	30	time	time	NOUN
cana-620	248	31	accuracy	accuracy	NOUN
cana-620	248	32	and	and	CCONJ
cana-620	248	33	false	false	ADJ
cana-620	248	34	alarm	alarm	NOUN
cana-620	248	35	rate	rate	NOUN
cana-620	248	36	.	.	PUNCT
cana-620	249	1	woaelm	woaelm	NOUN
cana-620	249	2	performed	perform	VERB
cana-620	249	3	better	well	ADV
cana-620	249	4	than	than	SCONJ
cana-620	249	5	knn	knn	VERB
cana-620	249	6	in	in	ADP
cana-620	249	7	detection	detection	NOUN
cana-620	249	8	time	time	NOUN
cana-620	249	9	accuracy	accuracy	NOUN
cana-620	249	10	and	and	CCONJ
cana-620	249	11	false	false	ADJ
cana-620	249	12	alarm	alarm	NOUN
cana-620	249	13	rate	rate	NOUN
cana-620	249	14	by	by	ADP
cana-620	249	15	58	58	NUM
cana-620	249	16	%	%	NOUN
cana-620	249	17	,	,	PUNCT
cana-620	249	18	8	8	NUM
cana-620	249	19	%	%	NOUN
cana-620	249	20	and	and	CCONJ
cana-620	249	21	94	94	NUM
cana-620	249	22	%	%	NOUN
cana-620	249	23	respectively	respectively	ADV
cana-620	249	24	,	,	PUNCT
cana-620	249	25	when	when	SCONJ
cana-620	249	26	svm	svm	PROPN
cana-620	249	27	is	be	AUX
cana-620	249	28	taken	take	VERB
cana-620	249	29	for	for	SCONJ
cana-620	249	30	comparison	comparison	NOUN
cana-620	249	31	woaelm	woaelm	NOUN
cana-620	249	32	performed	perform	VERB
cana-620	249	33	better	well	ADV
cana-620	249	34	in	in	ADP
cana-620	249	35	accuracy	accuracy	NOUN
cana-620	249	36	,	,	PUNCT
cana-620	249	37	false	false	ADJ
cana-620	249	38	alarm	alarm	NOUN
cana-620	249	39	rate	rate	NOUN
cana-620	249	40	and	and	CCONJ
cana-620	249	41	detection	detection	NOUN
cana-620	249	42	time	time	NOUN
cana-620	249	43	by	by	ADP
cana-620	249	44	56.5	56.5	NUM
cana-620	249	45	%	%	NOUN
cana-620	249	46	,	,	PUNCT
cana-620	249	47	6.8	6.8	NUM
cana-620	249	48	%	%	NOUN
cana-620	249	49	and	and	CCONJ
cana-620	249	50	93	93	NUM
cana-620	249	51	%	%	NOUN
cana-620	249	52	and	and	CCONJ
cana-620	249	53	respectively	respectively	ADV
cana-620	249	54	.	.	PUNCT
cana-620	250	1	next	next	ADJ
cana-620	250	2	welm	welm	NOUN
cana-620	250	3	is	be	AUX
cana-620	250	4	taken	take	VERB
cana-620	250	5	for	for	SCONJ
cana-620	250	6	comparison	comparison	NOUN
cana-620	250	7	woaelm	woaelm	NOUN
cana-620	250	8	performed	perform	VERB
cana-620	250	9	better	well	ADV
cana-620	250	10	in	in	ADP
cana-620	250	11	detection	detection	NOUN
cana-620	250	12	time	time	NOUN
cana-620	250	13	accuracy	accuracy	NOUN
cana-620	250	14	and	and	CCONJ
cana-620	250	15	false	false	ADJ
cana-620	250	16	alarm	alarm	NOUN
cana-620	250	17	rate	rate	NOUN
cana-620	250	18	by	by	ADP
cana-620	250	19	86.3	86.3	NUM
cana-620	250	20	%	%	NOUN
cana-620	250	21	,	,	PUNCT
cana-620	250	22	3.4	3.4	NUM
cana-620	250	23	%	%	NOUN
cana-620	250	24	and	and	CCONJ
cana-620	250	25	83.33	83.33	NUM
cana-620	250	26	%	%	NOUN
cana-620	250	27	respectively	respectively	ADV
cana-620	250	28	.	.	PUNCT
cana-620	251	1	finally	finally	ADV
cana-620	251	2	,	,	PUNCT
cana-620	251	3	khoelm	khoelm	PROPN
cana-620	251	4	is	be	AUX
cana-620	251	5	taken	take	VERB
cana-620	251	6	for	for	SCONJ
cana-620	251	7	comparison	comparison	NOUN
cana-620	251	8	woaelm	woaelm	NOUN
cana-620	251	9	performed	perform	VERB
cana-620	251	10	better	well	ADV
cana-620	251	11	in	in	ADP
cana-620	251	12	accuracy	accuracy	NOUN
cana-620	251	13	by	by	ADP
cana-620	251	14	1.13	1.13	NUM
cana-620	251	15	%	%	NOUN
cana-620	251	16	,	,	PUNCT
cana-620	251	17	false	false	ADJ
cana-620	251	18	alarm	alarm	NOUN
cana-620	251	19	rate	rate	NOUN
cana-620	251	20	is	be	AUX
cana-620	251	21	equal	equal	ADJ
cana-620	251	22	and	and	CCONJ
cana-620	251	23	detection	detection	NOUN
cana-620	251	24	time	time	NOUN
cana-620	251	25	is	be	AUX
cana-620	251	26	better	well	ADJ
cana-620	251	27	by	by	ADP
cana-620	251	28	15	15	NUM
cana-620	251	29	%	%	NOUN
cana-620	251	30	.	.	PUNCT
cana-620	252	1	5	5	X
cana-620	252	2	.	.	X
cana-620	252	3	conclusion	conclusion	NOUN
cana-620	252	4	in	in	ADP
cana-620	252	5	order	order	NOUN
cana-620	252	6	to	to	PART
cana-620	252	7	boost	boost	VERB
cana-620	252	8	welm	welm	PROPN
cana-620	252	9	's	's	PART
cana-620	252	10	performance	performance	NOUN
cana-620	252	11	,	,	PUNCT
cana-620	252	12	we	we	PRON
cana-620	252	13	applied	apply	VERB
cana-620	252	14	the	the	DET
cana-620	252	15	whale	whale	NOUN
cana-620	252	16	optimisation	optimisation	NOUN
cana-620	252	17	technique	technique	NOUN
cana-620	252	18	.	.	PUNCT
cana-620	253	1	it	it	PRON
cana-620	253	2	is	be	AUX
cana-620	253	3	evident	evident	ADJ
cana-620	253	4	from	from	ADP
cana-620	253	5	the	the	DET
cana-620	253	6	comparison	comparison	NOUN
cana-620	253	7	that	that	SCONJ
cana-620	253	8	the	the	DET
cana-620	253	9	model	model	NOUN
cana-620	253	10	put	put	VERB
cana-620	253	11	out	out	ADP
cana-620	253	12	in	in	ADP
cana-620	253	13	this	this	DET
cana-620	253	14	research	research	NOUN
cana-620	253	15	outperformed	outperform	VERB
cana-620	253	16	other	other	ADJ
cana-620	253	17	conventional	conventional	ADJ
cana-620	253	18	models	model	NOUN
cana-620	253	19	in	in	ADP
cana-620	253	20	intrusion	intrusion	NOUN
cana-620	253	21	detection	detection	NOUN
cana-620	253	22	.	.	PUNCT
cana-620	254	1	the	the	DET
cana-620	254	2	accuracy	accuracy	NOUN
cana-620	254	3	of	of	ADP
cana-620	254	4	intrusion	intrusion	NOUN
cana-620	254	5	detection	detection	NOUN
cana-620	254	6	is	be	AUX
cana-620	254	7	increased	increase	VERB
cana-620	254	8	by	by	ADP
cana-620	254	9	reducing	reduce	VERB
cana-620	254	10	recall	recall	NOUN
cana-620	254	11	,	,	PUNCT
cana-620	254	12	false	false	ADJ
cana-620	254	13	alarm	alarm	NOUN
cana-620	254	14	rate	rate	NOUN
cana-620	254	15	,	,	PUNCT
cana-620	254	16	and	and	CCONJ
cana-620	254	17	detection	detection	NOUN
cana-620	254	18	time	time	NOUN
cana-620	254	19	.	.	PUNCT
cana-620	255	1	even	even	ADV
cana-620	255	2	if	if	SCONJ
cana-620	255	3	certain	certain	ADJ
cana-620	255	4	older	old	ADJ
cana-620	255	5	approaches	approach	NOUN
cana-620	255	6	outperformed	outperform	VERB
cana-620	255	7	woa	woa	INTJ
cana-620	255	8	based	base	VERB
cana-620	255	9	welm	welm	NOUN
cana-620	255	10	in	in	ADP
cana-620	255	11	some	some	DET
cana-620	255	12	assaults	assault	NOUN
cana-620	255	13	,	,	PUNCT
cana-620	255	14	the	the	DET
cana-620	255	15	overall	overall	ADJ
cana-620	255	16	performance	performance	NOUN
cana-620	255	17	is	be	AUX
cana-620	255	18	still	still	ADV
cana-620	255	19	notable	notable	ADJ
cana-620	255	20	.	.	PUNCT
cana-620	256	1	by	by	ADP
cana-620	256	2	employing	employ	VERB
cana-620	256	3	this	this	DET
cana-620	256	4	method	method	NOUN
cana-620	256	5	,	,	PUNCT
cana-620	256	6	the	the	DET
cana-620	256	7	data	data	NOUN
cana-620	256	8	imbalance	imbalance	NOUN
cana-620	256	9	is	be	AUX
cana-620	256	10	also	also	ADV
cana-620	256	11	lessened	lessen	VERB
cana-620	256	12	.	.	PUNCT
cana-620	257	1	therefore	therefore	ADV
cana-620	257	2	,	,	PUNCT
cana-620	257	3	using	use	VERB
cana-620	257	4	woa	woa	INTJ
cana-620	257	5	based	base	VERB
cana-620	257	6	welm	welm	PRON
cana-620	257	7	to	to	PART
cana-620	257	8	find	find	VERB
cana-620	257	9	network	network	NOUN
cana-620	257	10	intrusion	intrusion	NOUN
cana-620	257	11	is	be	AUX
cana-620	257	12	effective	effective	ADJ
cana-620	257	13	.	.	PUNCT
cana-620	258	1	references	reference	NOUN
cana-620	258	2	[	[	X
cana-620	258	3	1	1	NUM
cana-620	258	4	]	]	PUNCT
cana-620	258	5	zhu	zhu	PROPN
cana-620	258	6	zibin	zibin	PROPN
cana-620	258	7	,	,	PUNCT
cana-620	258	8	meng	meng	PROPN
cana-620	258	9	anbo	anbo	PROPN
cana-620	258	10	,	,	PUNCT
cana-620	258	11	ou	ou	PROPN
cana-620	258	12	zuhong	zuhong	PROPN
cana-620	258	13	,	,	PUNCT
cana-620	258	14	wang	wang	PROPN
cana-620	258	15	chenen	chenen	PROPN
cana-620	258	16	,	,	PUNCT
cana-620	258	17	zhang	zhang	PROPN
cana-620	258	18	zheng	zheng	PROPN
cana-620	258	19	,	,	PUNCT
cana-620	258	20	chen	chen	PROPN
cana-620	258	21	mi	mi	PROPN
cana-620	258	22	,	,	PUNCT
cana-620	258	23	&	&	CCONJ
cana-620	258	24	liang	liang	PROPN
cana-620	258	25	ruduo	ruduo	PROPN
cana-620	258	26	.	.	PUNCT
cana-620	259	1	(	(	PUNCT
cana-620	259	2	2021	2021	NUM
cana-620	259	3	)	)	PUNCT
cana-620	259	4	.	.	PUNCT
cana-620	260	1	ultra	ultra	ADJ
cana-620	260	2	-	-	ADJ
cana-620	260	3	shortterm	shortterm	NOUN
cana-620	260	4	wind	wind	NOUN
cana-620	260	5	power	power	NOUN
cana-620	260	6	forecasting	forecasting	NOUN
cana-620	260	7	based	base	VERB
cana-620	260	8	on	on	ADP
cana-620	260	9	a	a	DET
cana-620	260	10	deep	deep	ADJ
cana-620	260	11	ensemble	ensemble	ADJ
cana-620	260	12	learning	learning	NOUN
cana-620	260	13	model	model	NOUN
cana-620	260	14	based	base	VERB
cana-620	260	15	on	on	ADP
cana-620	260	16	multivariate	multivariate	NOUN
cana-620	260	17	mode	mode	NOUN
cana-620	260	18	decomposition	decomposition	NOUN
cana-620	260	19	and	and	CCONJ
cana-620	260	20	multi	multi	ADJ
cana-620	260	21	-	-	ADJ
cana-620	260	22	objective	objective	ADJ
cana-620	260	23	algorithm	algorithm	NOUN
cana-620	260	24	optimization	optimization	NOUN
cana-620	260	25	.	.	PUNCT
cana-620	261	1	modern	modern	ADJ
cana-620	261	2	power	power	NOUN
cana-620	261	3	,	,	PUNCT
cana-620	261	4	38	38	NUM
cana-620	261	5	,	,	PUNCT
cana-620	261	6	1	1	NUM
cana-620	261	7	-	-	SYM
cana-620	261	8	12	12	NUM
cana-620	261	9	.	.	PUNCT
cana-620	262	1	[	[	X
cana-620	262	2	2	2	X
cana-620	262	3	]	]	PUNCT
cana-620	262	4	wang	wang	PROPN
cana-620	262	5	yanqi	yanqi	PROPN
cana-620	262	6	,	,	PUNCT
cana-620	262	7	zhang	zhang	PROPN
cana-620	262	8	qiang	qiang	PROPN
cana-620	262	9	,	,	PUNCT
cana-620	262	10	zhu	zhu	PROPN
cana-620	262	11	liutao	liutao	PROPN
cana-620	262	12	,	,	PUNCT
cana-620	262	13	&	&	CCONJ
cana-620	262	14	yuan	yuan	PROPN
cana-620	262	15	heping	heping	PROPN
cana-620	262	16	.	.	PUNCT
cana-620	263	1	(	(	PUNCT
cana-620	263	2	2022	2022	NUM
cana-620	263	3	)	)	PUNCT
cana-620	263	4	.	.	PUNCT
cana-620	264	1	gbdt	gbdt	NOUN
cana-620	264	2	regression	regression	NOUN
cana-620	264	3	prediction	prediction	NOUN
cana-620	264	4	model	model	NOUN
cana-620	264	5	based	base	VERB
cana-620	264	6	on	on	ADP
cana-620	264	7	improved	improved	ADJ
cana-620	264	8	whale	whale	NOUN
cana-620	264	9	optimization	optimization	NOUN
cana-620	264	10	algorithm	algorithm	NOUN
cana-620	264	11	.	.	PUNCT
cana-620	265	1	journal	journal	PROPN
cana-620	265	2	of	of	ADP
cana-620	265	3	jilin	jilin	PROPN
cana-620	265	4	university	university	PROPN
cana-620	265	5	(	(	PUNCT
cana-620	265	6	natural	natural	ADJ
cana-620	265	7	science	science	NOUN
cana-620	265	8	edition	edition	NOUN
cana-620	265	9	)	)	PUNCT
cana-620	265	10	,	,	PUNCT
cana-620	265	11	60	60	NUM
cana-620	265	12	(	(	PUNCT
cana-620	265	13	2	2	NUM
cana-620	265	14	)	)	PUNCT
cana-620	265	15	,	,	PUNCT
cana-620	265	16	401	401	NUM
cana-620	265	17	-	-	SYM
cana-620	265	18	408	408	NUM
cana-620	265	19	.	.	PUNCT
cana-620	266	1	76	76	NUM
cana-620	266	2	78	78	NUM
cana-620	266	3	80	80	NUM
cana-620	266	4	82	82	NUM
cana-620	266	5	84	84	NUM
cana-620	266	6	86	86	NUM
cana-620	266	7	88	88	NUM
cana-620	266	8	90	90	NUM
cana-620	266	9	a	a	DET
cana-620	266	10	cc	cc	ADP
cana-620	266	11	u	u	INTJ
cana-620	266	12	ra	ra	PROPN
cana-620	266	13	cy	cy	PROPN
cana-620	266	14	(	(	PUNCT
cana-620	266	15	%	%	NOUN
cana-620	266	16	)	)	PUNCT
cana-620	266	17	knn	knn	PROPN
cana-620	266	18	bpn	bpn	PROPN
cana-620	266	19	svm	svm	PROPN
cana-620	266	20	elm	elm	PROPN
cana-620	266	21	welm	welm	PROPN
cana-620	266	22	foaelm	foaelm	PROPN
cana-620	266	23	khoelm	khoelm	NOUN
cana-620	266	24	woaelm	woaelm	NOUN
cana-620	266	25	0	0	NUM
cana-620	266	26	10	10	NUM
cana-620	266	27	20	20	NUM
cana-620	266	28	30	30	NUM
cana-620	266	29	40	40	NUM
cana-620	266	30	f	f	X
cana-620	266	31	al	al	PROPN
cana-620	266	32	se	se	PROPN
cana-620	266	33	a	a	PROPN
cana-620	266	34	la	la	X
cana-620	266	35	rm	rm	NOUN
cana-620	266	36	r	r	NOUN
cana-620	266	37	at	at	ADP
cana-620	266	38	e	e	NOUN
cana-620	266	39	(	(	PUNCT
cana-620	266	40	%	%	INTJ
cana-620	266	41	)	)	PUNCT
cana-620	266	42	knn	knn	PROPN
cana-620	266	43	bpn	bpn	PROPN
cana-620	266	44	svm	svm	PROPN
cana-620	266	45	elm	elm	PROPN
cana-620	266	46	welm	welm	PROPN
cana-620	266	47	foaelm	foaelm	PROPN
cana-620	266	48	khoelm	khoelm	NOUN
cana-620	266	49	woaelm	woaelm	NOUN
cana-620	266	50	0	0	NUM
cana-620	267	1	0.5	0.5	NUM
cana-620	267	2	1	1	NUM
cana-620	267	3	1.5	1.5	NUM
cana-620	267	4	2	2	NUM
cana-620	267	5	2.5	2.5	NUM
cana-620	267	6	3	3	NUM
cana-620	267	7	3.5	3.5	NUM
cana-620	267	8	d	d	NOUN
cana-620	267	9	et	et	NOUN
cana-620	267	10	ec	ec	NOUN
cana-620	267	11	ti	ti	NOUN
cana-620	267	12	o	o	PROPN
cana-620	267	13	n	n	ADP
cana-620	267	14	t	t	NOUN
cana-620	268	1	i	i	PRON
cana-620	268	2	m	m	VERB
cana-620	268	3	e	e	X
cana-620	268	4	(	(	PUNCT
cana-620	268	5	s	s	X
cana-620	268	6	ec	ec	PROPN
cana-620	268	7	)	)	PUNCT
cana-620	268	8	knn	knn	PROPN
cana-620	268	9	bpn	bpn	PROPN
cana-620	268	10	svm	svm	PROPN
cana-620	268	11	elm	elm	PROPN
cana-620	268	12	welm	welm	PROPN
cana-620	268	13	foaelm	foaelm	PROPN
cana-620	268	14	khoelm	khoelm	NOUN
cana-620	268	15	woaelm	woaelm	NOUN
cana-620	268	16	communications	communication	NOUN
cana-620	268	17	on	on	ADP
cana-620	268	18	applied	apply	VERB
cana-620	268	19	nonlinear	nonlinear	ADJ
cana-620	268	20	analysis	analysis	NOUN
cana-620	268	21	issn	issn	NOUN
cana-620	268	22	:	:	PUNCT
cana-620	268	23	1074	1074	NUM
cana-620	268	24	-	-	PUNCT
cana-620	268	25	133x	133x	NUM
cana-620	268	26	vol	vol	NOUN
cana-620	268	27	31	31	NUM
cana-620	268	28	no	no	NOUN
cana-620	268	29	.	.	PUNCT
cana-620	269	1	2s	2s	NUM
cana-620	269	2	(	(	PUNCT
cana-620	269	3	2024	2024	NUM
cana-620	269	4	)	)	PUNCT
cana-620	269	5	203	203	NUM
cana-620	269	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-620	270	1	[	[	X
cana-620	270	2	3	3	NUM
cana-620	270	3	]	]	X
cana-620	270	4	li	li	PROPN
cana-620	270	5	shiyong	shiyong	PROPN
cana-620	270	6	,	,	PUNCT
cana-620	270	7	zhang	zhang	PROPN
cana-620	270	8	weibin	weibin	PROPN
cana-620	270	9	,	,	PUNCT
cana-620	270	10	zhao	zhao	PROPN
cana-620	270	11	xinzhe	xinzhe	PROPN
cana-620	270	12	,	,	PUNCT
cana-620	270	13	liu	liu	PROPN
cana-620	270	14	bin	bin	PROPN
cana-620	270	15	,	,	PUNCT
cana-620	270	16	&	&	CCONJ
cana-620	270	17	zheng	zheng	PROPN
cana-620	270	18	yifei	yifei	PROPN
cana-620	270	19	.	.	PUNCT
cana-620	271	1	(	(	PUNCT
cana-620	271	2	2021	2021	NUM
cana-620	271	3	)	)	PUNCT
cana-620	271	4	.	.	PUNCT
cana-620	272	1	photovoltaic	photovoltaic	NOUN
cana-620	272	2	maximum	maximum	ADJ
cana-620	272	3	power	power	NOUN
cana-620	272	4	point	point	NOUN
cana-620	272	5	tracking	tracking	NOUN
cana-620	272	6	with	with	ADP
cana-620	272	7	improved	improve	VERB
cana-620	272	8	whale	whale	NOUN
cana-620	272	9	algorithm	algorithm	NOUN
cana-620	272	10	optimizing	optimize	VERB
cana-620	272	11	support	support	NOUN
cana-620	272	12	vector	vector	NOUN
cana-620	272	13	regression	regression	NOUN
cana-620	272	14	.	.	PUNCT
cana-620	273	1	journal	journal	NOUN
cana-620	273	2	of	of	ADP
cana-620	273	3	electrotechnical	electrotechnical	ADJ
cana-620	273	4	society	society	NOUN
cana-620	273	5	,	,	PUNCT
cana-620	273	6	36	36	NUM
cana-620	273	7	(	(	PUNCT
cana-620	273	8	9	9	NUM
cana-620	273	9	)	)	PUNCT
cana-620	273	10	,	,	PUNCT
cana-620	273	11	1771	1771	NUM
cana-620	273	12	-	-	SYM
cana-620	273	13	1781	1781	NUM
cana-620	273	14	[	[	X
cana-620	273	15	4	4	NUM
cana-620	273	16	]	]	X
cana-620	273	17	zhang	zhang	PROPN
cana-620	273	18	siqi	siqi	PROPN
cana-620	273	19	,	,	PUNCT
cana-620	273	20	ni	ni	PROPN
cana-620	273	21	jing	jing	PROPN
cana-620	273	22	.	.	PUNCT
cana-620	274	1	application	application	NOUN
cana-620	274	2	of	of	ADP
cana-620	274	3	hybrid	hybrid	ADJ
cana-620	274	4	whale	whale	NOUN
cana-620	274	5	algorithm	algorithm	NOUN
cana-620	274	6	in	in	ADP
cana-620	274	7	flexible	flexible	ADJ
cana-620	274	8	job	job	NOUN
cana-620	274	9	shop	shop	NOUN
cana-620	274	10	system	system	NOUN
cana-620	274	11	.	.	PUNCT
cana-620	275	1	journal	journal	PROPN
cana-620	275	2	of	of	ADP
cana-620	275	3	system	system	NOUN
cana-620	275	4	science	science	NOUN
cana-620	275	5	,	,	PUNCT
cana-620	275	6	2020	2020	NUM
cana-620	275	7	,	,	PUNCT
cana-620	275	8	28(1	28(1	NOUN
cana-620	275	9	):	):	PUNCT
cana-620	275	10	131–136	131–136	NUM
cana-620	275	11	.	.	PUNCT
cana-620	276	1	[	[	X
cana-620	276	2	5	5	NUM
cana-620	276	3	]	]	X
cana-620	276	4	guo	guo	PROPN
cana-620	276	5	qicheng	qicheng	PROPN
cana-620	276	6	,	,	PUNCT
cana-620	276	7	du	du	PROPN
cana-620	276	8	xiaoyu	xiaoyu	PROPN
cana-620	276	9	,	,	PUNCT
cana-620	276	10	zhang	zhang	PROPN
cana-620	276	11	yanyu	yanyu	PROPN
cana-620	276	12	,	,	PUNCT
cana-620	276	13	&	&	CCONJ
cana-620	276	14	zhou	zhou	PROPN
cana-620	276	15	yi	yi	PROPN
cana-620	276	16	.	.	PUNCT
cana-620	276	17	(	(	PUNCT
cana-620	276	18	2021	2021	NUM
cana-620	276	19	)	)	PUNCT
cana-620	276	20	.	.	PUNCT
cana-620	277	1	uav	uav	PROPN
cana-620	277	2	3d	3d	PROPN
cana-620	277	3	path	path	PROPN
cana-620	277	4	planning	planning	NOUN
cana-620	277	5	based	base	VERB
cana-620	277	6	on	on	ADP
cana-620	277	7	improved	improved	ADJ
cana-620	277	8	whale	whale	NOUN
cana-620	277	9	algorithm	algorithm	NOUN
cana-620	277	10	.	.	PUNCT
cana-620	278	1	computer	computer	NOUN
cana-620	278	2	science	science	NOUN
cana-620	278	3	,	,	PUNCT
cana-620	278	4	48	48	NUM
cana-620	278	5	(	(	PUNCT
cana-620	278	6	12	12	NUM
cana-620	278	7	)	)	PUNCT
cana-620	278	8	,	,	PUNCT
cana-620	278	9	304	304	NUM
cana-620	278	10	-	-	SYM
cana-620	278	11	311	311	NUM
cana-620	278	12	[	[	X
cana-620	278	13	6	6	NUM
cana-620	278	14	]	]	PUNCT
cana-620	278	15	huang	huang	PROPN
cana-620	278	16	q	q	PROPN
cana-620	278	17	b	b	PROPN
cana-620	278	18	,	,	PUNCT
cana-620	278	19	li	li	PROPN
cana-620	278	20	j	j	PROPN
cana-620	278	21	x	x	PROPN
cana-620	278	22	,	,	PUNCT
cana-620	278	23	song	song	NOUN
cana-620	278	24	c	c	PROPN
cana-620	278	25	n	n	CCONJ
cana-620	278	26	,	,	PUNCT
cana-620	278	27	et	et	PROPN
cana-620	278	28	al	al	PROPN
cana-620	278	29	.	.	PROPN
cana-620	278	30	whale	whale	PROPN
cana-620	278	31	optimization	optimization	NOUN
cana-620	278	32	algorithm	algorithm	NOUN
cana-620	278	33	based	base	VERB
cana-620	278	34	on	on	ADP
cana-620	278	35	cosine	cosine	NOUN
cana-620	278	36	control	control	NOUN
cana-620	278	37	factor	factor	NOUN
cana-620	278	38	and	and	CCONJ
cana-620	278	39	polynomial	polynomial	ADJ
cana-620	278	40	mutation	mutation	NOUN
cana-620	278	41	[	[	X
cana-620	278	42	j	j	X
cana-620	278	43	]	]	X
cana-620	278	44	.	.	PUNCT
cana-620	279	1	control	control	NOUN
cana-620	279	2	and	and	CCONJ
cana-620	279	3	decision	decision	NOUN
cana-620	279	4	,	,	PUNCT
cana-620	279	5	2020	2020	NUM
cana-620	279	6	,	,	PUNCT
cana-620	279	7	35(3	35(3	NUM
cana-620	279	8	):	):	PUNCT
cana-620	279	9	559	559	NUM
cana-620	279	10	-	-	SYM
cana-620	279	11	568	568	NUM
cana-620	279	12	[	[	X
cana-620	279	13	7	7	NUM
cana-620	279	14	]	]	X
cana-620	279	15	du	du	X
cana-620	279	16	liuqing	liuqing	PROPN
cana-620	279	17	,	,	PUNCT
cana-620	279	18	li	li	PROPN
cana-620	279	19	renjie	renjie	PROPN
cana-620	279	20	,	,	PUNCT
cana-620	279	21	&	&	CCONJ
cana-620	279	22	li	li	PROPN
cana-620	279	23	baochuan	baochuan	PROPN
cana-620	279	24	.	.	PUNCT
cana-620	280	1	(	(	PUNCT
cana-620	280	2	2021	2021	NUM
cana-620	280	3	)	)	PUNCT
cana-620	280	4	.	.	PUNCT
cana-620	281	1	a	a	DET
cana-620	281	2	deep	deep	ADJ
cana-620	281	3	learning	learning	NOUN
cana-620	281	4	prediction	prediction	NOUN
cana-620	281	5	method	method	NOUN
cana-620	281	6	for	for	ADP
cana-620	281	7	thermal	thermal	ADJ
cana-620	281	8	errors	error	NOUN
cana-620	281	9	of	of	ADP
cana-620	281	10	cnc	cnc	ADJ
cana-620	281	11	machine	machine	NOUN
cana-620	281	12	tools	tool	NOUN
cana-620	281	13	based	base	VERB
cana-620	281	14	on	on	ADP
cana-620	281	15	attention	attention	NOUN
cana-620	281	16	mechanism	mechanism	NOUN
cana-620	281	17	.	.	PUNCT
cana-620	282	1	engineering	engineering	NOUN
cana-620	282	2	science	science	NOUN
cana-620	282	3	and	and	CCONJ
cana-620	282	4	technology	technology	NOUN
cana-620	282	5	,	,	PUNCT
cana-620	282	6	53	53	NUM
cana-620	282	7	(	(	PUNCT
cana-620	282	8	6	6	NUM
cana-620	282	9	)	)	PUNCT
cana-620	282	10	,	,	PUNCT
cana-620	282	11	194	194	NUM
cana-620	282	12	-	-	SYM
cana-620	282	13	203	203	NUM
cana-620	282	14	.	.	PUNCT
cana-620	283	1	[	[	X
cana-620	283	2	8	8	NUM
cana-620	283	3	]	]	X
cana-620	283	4	guo	guo	PROPN
cana-620	283	5	bin	bin	PROPN
cana-620	283	6	,	,	PUNCT
cana-620	283	7	xing	xing	PROPN
cana-620	283	8	jie	jie	PROPN
cana-620	283	9	,	,	PUNCT
cana-620	283	10	yao	yao	PROPN
cana-620	283	11	fei	fei	PROPN
cana-620	283	12	,	,	PUNCT
cana-620	283	13	&	&	CCONJ
cana-620	283	14	jing	jing	PROPN
cana-620	283	15	xiaomin	xiaomin	PROPN
cana-620	283	16	.	.	PUNCT
cana-620	284	1	(	(	PUNCT
cana-620	284	2	2022	2022	NUM
cana-620	284	3	)	)	PUNCT
cana-620	284	4	.	.	PUNCT
cana-620	285	1	optimal	optimal	ADJ
cana-620	285	2	allocation	allocation	NOUN
cana-620	285	3	of	of	ADP
cana-620	285	4	user	user	NOUN
cana-620	285	5	-	-	PUNCT
cana-620	285	6	side	side	NOUN
cana-620	285	7	hybrid	hybrid	ADJ
cana-620	285	8	energy	energy	NOUN
cana-620	285	9	storage	storage	NOUN
cana-620	285	10	based	base	VERB
cana-620	285	11	on	on	ADP
cana-620	285	12	bilevel	bilevel	ADJ
cana-620	285	13	programming	programming	NOUN
cana-620	285	14	model	model	NOUN
cana-620	285	15	.	.	PUNCT
cana-620	286	1	energy	energy	NOUN
cana-620	286	2	storage	storage	NOUN
cana-620	286	3	science	science	NOUN
cana-620	286	4	and	and	CCONJ
cana-620	286	5	technology	technology	NOUN
cana-620	286	6	,	,	PUNCT
cana-620	286	7	11	11	NUM
cana-620	286	8	(	(	PUNCT
cana-620	286	9	2	2	NUM
cana-620	286	10	)	)	PUNCT
cana-620	286	11	,	,	PUNCT
cana-620	286	12	615	615	NUM
cana-620	287	1	[	[	X
cana-620	287	2	9	9	NUM
cana-620	287	3	]	]	PUNCT
cana-620	287	4	mei	mei	PROPN
cana-620	287	5	wenjuan	wenjuan	PROPN
cana-620	287	6	,	,	PUNCT
cana-620	287	7	gao	gao	PROPN
cana-620	287	8	yuan	yuan	PROPN
cana-620	287	9	,	,	PUNCT
cana-620	287	10	du	du	PROPN
cana-620	287	11	li	li	PROPN
cana-620	287	12	,	,	PUNCT
cana-620	287	13	liu	liu	PROPN
cana-620	287	14	zhen	zhen	PROPN
cana-620	287	15	,	,	PUNCT
cana-620	287	16	&	&	CCONJ
cana-620	287	17	wang	wang	PROPN
cana-620	287	18	houjun	houjun	PROPN
cana-620	287	19	.	.	PUNCT
cana-620	288	1	(	(	PUNCT
cana-620	288	2	2022	2022	NUM
cana-620	288	3	)	)	PUNCT
cana-620	288	4	.	.	PUNCT
cana-620	289	1	real	real	ADJ
cana-620	289	2	-	-	PUNCT
cana-620	289	3	time	time	NOUN
cana-620	289	4	flow	flow	NOUN
cana-620	289	5	prediction	prediction	NOUN
cana-620	289	6	method	method	NOUN
cana-620	289	7	of	of	ADP
cana-620	289	8	device	device	NOUN
cana-620	289	9	degradation	degradation	NOUN
cana-620	289	10	trend	trend	NOUN
cana-620	289	11	based	base	VERB
cana-620	289	12	on	on	ADP
cana-620	289	13	online	online	ADJ
cana-620	289	14	correlation	correlation	NOUN
cana-620	289	15	entropy	entropy	NOUN
cana-620	289	16	extreme	extreme	ADJ
cana-620	289	17	learning	learning	NOUN
cana-620	289	18	machine	machine	NOUN
cana-620	289	19	.	.	PUNCT
cana-620	290	1	journal	journal	PROPN
cana-620	290	2	of	of	ADP
cana-620	290	3	instrumentation	instrumentation	NOUN
cana-620	290	4	,	,	PUNCT
cana-620	290	5	40	40	NUM
cana-620	290	6	(	(	PUNCT
cana-620	290	7	11	11	NUM
cana-620	290	8	)	)	PUNCT
cana-620	290	9	,	,	PUNCT
cana-620	290	10	212	212	NUM
cana-620	290	11	-	-	SYM
cana-620	290	12	224	224	NUM
cana-620	290	13	.	.	PUNCT
cana-620	291	1	[	[	X
cana-620	291	2	10	10	NUM
cana-620	291	3	]	]	X
cana-620	291	4	chang	chang	PROPN
cana-620	291	5	ningdong	ningdong	PROPN
cana-620	291	6	,	,	PUNCT
cana-620	291	7	cheng	cheng	PROPN
cana-620	291	8	pengda	pengda	PROPN
cana-620	291	9	,	,	PUNCT
cana-620	291	10	feng	feng	PROPN
cana-620	291	11	chun	chun	PROPN
cana-620	291	12	,	,	PUNCT
cana-620	291	13	wang	wang	PROPN
cana-620	291	14	lixiang	lixiang	PROPN
cana-620	291	15	,	,	PUNCT
cana-620	291	16	&	&	CCONJ
cana-620	291	17	li	li	PROPN
cana-620	291	18	yuqiong	yuqiong	PROPN
cana-620	291	19	.	.	PUNCT
cana-620	292	1	(	(	PUNCT
cana-620	292	2	2023	2023	NUM
cana-620	292	3	)	)	PUNCT
cana-620	292	4	.	.	PUNCT
cana-620	293	1	research	research	NOUN
cana-620	293	2	progress	progress	NOUN
cana-620	293	3	on	on	ADP
cana-620	293	4	optimization	optimization	NOUN
cana-620	293	5	algorithms	algorithm	NOUN
cana-620	293	6	for	for	ADP
cana-620	293	7	equipment	equipment	NOUN
cana-620	293	8	field	field	NOUN
cana-620	293	9	traffic	traffic	NOUN
cana-620	293	10	.	.	PUNCT
cana-620	294	1	optics	optic	NOUN
cana-620	294	2	and	and	CCONJ
cana-620	294	3	precision	precision	NOUN
cana-620	294	4	engineering	engineering	NOUN
cana-620	294	5	,	,	PUNCT
cana-620	294	6	31	31	NUM
cana-620	294	7	(	(	PUNCT
cana-620	294	8	5	5	NUM
cana-620	294	9	)	)	PUNCT
cana-620	294	10	,	,	PUNCT
cana-620	294	11	776	776	NUM
cana-620	294	12	-	-	SYM
cana-620	294	13	792	792	NUM
cana-620	295	1	[	[	X
cana-620	295	2	11	11	NUM
cana-620	295	3	]	]	X
cana-620	295	4	shi	shi	PROPN
cana-620	295	5	zhicheng	zhicheng	PROPN
cana-620	295	6	.	.	PUNCT
cana-620	296	1	(	(	PUNCT
cana-620	296	2	2021	2021	NUM
cana-620	296	3	)	)	PUNCT
cana-620	296	4	.	.	PUNCT
cana-620	297	1	emergency	emergency	NOUN
cana-620	297	2	response	response	NOUN
cana-620	297	3	to	to	ADP
cana-620	297	4	sudden	sudden	ADJ
cana-620	297	5	toxic	toxic	ADJ
cana-620	297	6	events	event	NOUN
cana-620	297	7	:	:	PUNCT
cana-620	297	8	historical	historical	ADJ
cana-620	297	9	experience	experience	NOUN
cana-620	297	10	and	and	CCONJ
cana-620	297	11	lessons	lesson	NOUN
cana-620	297	12	.	.	PUNCT
cana-620	298	1	beijing	beijing	PROPN
cana-620	298	2	book	book	PROPN
cana-620	298	3	co.	co.	PROPN
cana-620	298	4	inc	inc	PROPN
cana-620	299	1	[	[	X
cana-620	299	2	12	12	NUM
cana-620	299	3	]	]	X
cana-620	299	4	han	han	PROPN
cana-620	299	5	xiao	xiao	PROPN
cana-620	299	6	,	,	PUNCT
cana-620	299	7	&	&	CCONJ
cana-620	299	8	li	li	PROPN
cana-620	299	9	pei	pei	PROPN
cana-620	299	10	.	.	PUNCT
cana-620	300	1	(	(	PUNCT
cana-620	300	2	2019	2019	NUM
cana-620	300	3	)	)	PUNCT
cana-620	300	4	.	.	PUNCT
cana-620	301	1	analysis	analysis	NOUN
cana-620	301	2	of	of	ADP
cana-620	301	3	b5	b5	PROPN
cana-620	301	4	g	g	NOUN
cana-620	301	5	network	network	NOUN
cana-620	301	6	architecture	architecture	NOUN
cana-620	301	7	and	and	CCONJ
cana-620	301	8	key	key	ADJ
cana-620	301	9	technologies	technology	NOUN
cana-620	301	10	.	.	PUNCT
cana-620	302	1	post	post	NOUN
cana-620	302	2	and	and	CCONJ
cana-620	302	3	telecommunications	telecommunication	NOUN
cana-620	302	4	design	design	NOUN
cana-620	302	5	technology	technology	NOUN
cana-620	302	6	,	,	PUNCT
cana-620	302	7	8	8	NUM
cana-620	302	8	,	,	PUNCT
cana-620	302	9	30	30	NUM
cana-620	302	10	-	-	SYM
cana-620	302	11	33	33	NUM
cana-620	302	12	.	.	PUNCT
cana-620	303	1	[	[	X
cana-620	303	2	13	13	NUM
cana-620	303	3	]	]	X
cana-620	303	4	zhang	zhang	PROPN
cana-620	303	5	yinghui	yinghui	PROPN
cana-620	303	6	,	,	PUNCT
cana-620	303	7	hu	hu	PROPN
cana-620	303	8	lingyun	lingyun	PROPN
cana-620	303	9	,	,	PUNCT
cana-620	303	10	li	li	PROPN
cana-620	303	11	yixin	yixin	PROPN
cana-620	303	12	,	,	PUNCT
cana-620	303	13	ning	ning	PROPN
cana-620	303	14	jianting	jianting	PROPN
cana-620	303	15	,	,	PUNCT
cana-620	303	16	&	&	CCONJ
cana-620	303	17	zheng	zheng	PROPN
cana-620	303	18	dong	dong	PROPN
cana-620	303	19	.	.	PUNCT
cana-620	304	1	(	(	PUNCT
cana-620	304	2	2022	2022	NUM
cana-620	304	3	)	)	PUNCT
cana-620	304	4	.	.	PUNCT
cana-620	305	1	a	a	DET
cana-620	305	2	secure	secure	ADJ
cana-620	305	3	and	and	CCONJ
cana-620	305	4	efficient	efficient	ADJ
cana-620	305	5	batch	batch	NOUN
cana-620	305	6	authentication	authentication	NOUN
cana-620	305	7	scheme	scheme	NOUN
cana-620	305	8	based	base	VERB
cana-620	305	9	on	on	ADP
cana-620	305	10	dynamic	dynamic	ADJ
cana-620	305	11	revocation	revocation	NOUN
cana-620	305	12	mechanism	mechanism	NOUN
cana-620	305	13	in	in	ADP
cana-620	305	14	spatial	spatial	ADJ
cana-620	305	15	information	information	NOUN
cana-620	305	16	network	network	NOUN
cana-620	305	17	.	.	PUNCT
cana-620	306	1	journal	journal	PROPN
cana-620	306	2	of	of	ADP
cana-620	306	3	communications	communication	NOUN
cana-620	306	4	,	,	PUNCT
cana-620	306	5	43	43	NUM
cana-620	306	6	(	(	PUNCT
cana-620	306	7	4	4	NUM
cana-620	306	8	)	)	PUNCT
cana-620	306	9	,	,	PUNCT
cana-620	306	10	164	164	NUM
cana-620	306	11	-	-	SYM
cana-620	306	12	176	176	NUM
cana-620	306	13	.	.	PUNCT
cana-620	307	1	[	[	X
cana-620	307	2	14	14	NUM
cana-620	307	3	]	]	X
cana-620	307	4	zhang	zhang	PROPN
cana-620	307	5	yuxin	yuxin	PROPN
cana-620	307	6	,	,	PUNCT
cana-620	307	7	he	he	PRON
cana-620	307	8	wenqin	wenqin	VERB
cana-620	307	9	,	,	PUNCT
cana-620	307	10	chen	chen	PROPN
cana-620	307	11	hong	hong	PROPN
cana-620	307	12	,	,	PUNCT
cana-620	307	13	&	&	CCONJ
cana-620	307	14	an	an	DET
cana-620	307	15	peng	peng	PROPN
cana-620	307	16	.	.	PUNCT
cana-620	308	1	(	(	PUNCT
cana-620	308	2	2020	2020	NUM
cana-620	308	3	)	)	PUNCT
cana-620	308	4	.	.	PUNCT
cana-620	309	1	a	a	DET
cana-620	309	2	summary	summary	NOUN
cana-620	309	3	of	of	ADP
cana-620	309	4	patent	patent	NOUN
cana-620	309	5	analysis	analysis	NOUN
cana-620	309	6	for	for	ADP
cana-620	309	7	autonomous	autonomous	ADJ
cana-620	309	8	vehicle	vehicle	NOUN
cana-620	309	9	safety	safety	NOUN
cana-620	309	10	technology	technology	NOUN
cana-620	309	11	.	.	PUNCT
cana-620	310	1	science	science	NOUN
cana-620	310	2	in	in	ADP
cana-620	310	3	china	china	PROPN
cana-620	310	4	:	:	PUNCT
cana-620	310	5	information	information	NOUN
cana-620	310	6	science	science	NOUN
cana-620	310	7	,	,	PUNCT
cana-620	310	8	50	50	NUM
cana-620	310	9	,	,	PUNCT
cana-620	310	10	1732	1732	NUM
cana-620	310	11	-	-	SYM
cana-620	310	12	1755	1755	NUM
cana-620	310	13	.	.	PUNCT
cana-620	311	1	[	[	X
cana-620	311	2	15	15	NUM
cana-620	311	3	]	]	X
cana-620	311	4	zhao	zhao	PROPN
cana-620	311	5	kaifeng	kaifeng	PROPN
cana-620	311	6	.	.	PUNCT
cana-620	312	1	(	(	PUNCT
cana-620	312	2	2021	2021	NUM
cana-620	312	3	)	)	PUNCT
cana-620	312	4	.	.	PUNCT
cana-620	313	1	the	the	DET
cana-620	313	2	road	road	NOUN
cana-620	313	3	to	to	ADP
cana-620	313	4	digital	digital	ADJ
cana-620	313	5	transformation	transformation	NOUN
cana-620	313	6	of	of	ADP
cana-620	313	7	petroleum	petroleum	NOUN
cana-620	313	8	geophysical	geophysical	ADJ
cana-620	313	9	prospecting	prospecting	NOUN
cana-620	313	10	:	:	PUNCT
cana-620	313	11	towards	towards	ADP
cana-620	313	12	the	the	DET
cana-620	313	13	era	era	NOUN
cana-620	313	14	of	of	ADP
cana-620	313	15	intelligent	intelligent	ADJ
cana-620	313	16	interpretation	interpretation	NOUN
cana-620	313	17	of	of	ADP
cana-620	313	18	real	real	ADJ
cana-620	313	19	-	-	PUNCT
cana-620	313	20	time	time	NOUN
cana-620	313	21	data	datum	NOUN
cana-620	313	22	collection	collection	NOUN
cana-620	313	23	and	and	CCONJ
cana-620	313	24	automatic	automatic	ADJ
cana-620	313	25	processing	processing	NOUN
cana-620	313	26	.	.	PUNCT
cana-620	314	1	petroleum	petroleum	NOUN
cana-620	314	2	geophysical	geophysical	ADJ
cana-620	314	3	prospecting	prospecting	NOUN
cana-620	314	4	,	,	PUNCT
cana-620	314	5	60	60	NUM
cana-620	314	6	(	(	PUNCT
cana-620	314	7	2	2	NUM
cana-620	314	8	)	)	PUNCT
cana-620	314	9	,	,	PUNCT
cana-620	314	10	175	175	NUM
cana-620	314	11	-	-	SYM
cana-620	314	12	189	189	NUM
cana-620	315	1	[	[	X
cana-620	315	2	16	16	NUM
cana-620	315	3	]	]	X
cana-620	315	4	liang	liang	PROPN
cana-620	315	5	jing	jing	PROPN
cana-620	315	6	,	,	PUNCT
cana-620	315	7	liu	liu	PROPN
cana-620	315	8	rui	rui	PROPN
cana-620	315	9	,	,	PUNCT
cana-620	315	10	qu	qu	PROPN
cana-620	315	11	boyang	boyang	PROPN
cana-620	315	12	,	,	PUNCT
cana-620	315	13	&	&	CCONJ
cana-620	315	14	yue	yue	PROPN
cana-620	315	15	caitong	caitong	PROPN
cana-620	315	16	.	.	PUNCT
cana-620	316	1	(	(	PUNCT
cana-620	316	2	2019	2019	NUM
cana-620	316	3	)	)	PUNCT
cana-620	316	4	.	.	PUNCT
cana-620	317	1	a	a	DET
cana-620	317	2	review	review	NOUN
cana-620	317	3	of	of	ADP
cana-620	317	4	the	the	DET
cana-620	317	5	application	application	NOUN
cana-620	317	6	of	of	ADP
cana-620	317	7	evolutionary	evolutionary	ADJ
cana-620	317	8	algorithms	algorithm	NOUN
cana-620	317	9	in	in	ADP
cana-620	317	10	large	large	ADJ
cana-620	317	11	-	-	PUNCT
cana-620	317	12	scale	scale	NOUN
cana-620	317	13	optimization	optimization	NOUN
cana-620	317	14	problems	problem	NOUN
cana-620	317	15	.	.	PUNCT
cana-620	318	1	journal	journal	PROPN
cana-620	318	2	of	of	ADP
cana-620	318	3	zhengzhou	zhengzhou	PROPN
cana-620	318	4	university	university	PROPN
cana-620	318	5	:	:	PUNCT
cana-620	318	6	engineering	engineering	NOUN
cana-620	318	7	edition	edition	NOUN
cana-620	318	8	,	,	PUNCT
cana-620	318	9	39	39	NUM
cana-620	318	10	(	(	PUNCT
cana-620	318	11	3	3	NUM
cana-620	318	12	)	)	PUNCT
cana-620	318	13	,	,	PUNCT
cana-620	318	14	15	15	NUM
cana-620	318	15	-	-	SYM
cana-620	318	16	21	21	NUM
cana-620	318	17	.	.	PUNCT
cana-620	319	1	[	[	X
cana-620	319	2	17	17	NUM
cana-620	319	3	]	]	X
cana-620	319	4	liu	liu	PROPN
cana-620	319	5	jingsen	jingsen	PROPN
cana-620	319	6	,	,	PUNCT
cana-620	319	7	ma	ma	PROPN
cana-620	319	8	yixiang	yixiang	PROPN
cana-620	319	9	,	,	PUNCT
cana-620	319	10	&	&	CCONJ
cana-620	319	11	li	li	PROPN
cana-620	319	12	yu	yu	PROPN
cana-620	319	13	.	.	PROPN
cana-620	319	14	(	(	PUNCT
cana-620	319	15	2021	2021	NUM
cana-620	319	16	)	)	PUNCT
cana-620	319	17	.	.	PUNCT
cana-620	320	1	improved	improve	VERB
cana-620	320	2	whale	whale	NOUN
cana-620	320	3	algorithm	algorithm	NOUN
cana-620	320	4	for	for	ADP
cana-620	320	5	engineering	engineering	NOUN
cana-620	320	6	design	design	NOUN
cana-620	320	7	optimization	optimization	NOUN
cana-620	320	8	problems	problem	NOUN
cana-620	320	9	.	.	PUNCT
cana-620	321	1	computer	computer	NOUN
cana-620	321	2	integrated	integrate	VERB
cana-620	321	3	manufacturing	manufacturing	NOUN
cana-620	321	4	systems	system	NOUN
cana-620	321	5	,	,	PUNCT
cana-620	321	6	27	27	NUM
cana-620	321	7	(	(	PUNCT
cana-620	321	8	7	7	NUM
cana-620	321	9	)	)	PUNCT
cana-620	321	10	,	,	PUNCT
cana-620	321	11	1884	1884	NUM
cana-620	321	12	.	.	PUNCT
cana-620	322	1	[	[	X
cana-620	322	2	18	18	NUM
cana-620	322	3	]	]	X
cana-620	322	4	liu	liu	PROPN
cana-620	322	5	xiaolong	xiaolong	PROPN
cana-620	322	6	.	.	PUNCT
cana-620	323	1	(	(	PUNCT
cana-620	323	2	2021	2021	NUM
cana-620	323	3	)	)	PUNCT
cana-620	323	4	.	.	PUNCT
cana-620	324	1	multi	multi	ADJ
cana-620	324	2	-	-	ADJ
cana-620	324	3	population	population	ADJ
cana-620	324	4	vertical	vertical	ADJ
cana-620	324	5	and	and	CCONJ
cana-620	324	6	horizontal	horizontal	ADJ
cana-620	324	7	two	two	NUM
cana-620	324	8	-	-	PUNCT
cana-620	324	9	way	way	NOUN
cana-620	324	10	learning	learning	NOUN
cana-620	324	11	and	and	CCONJ
cana-620	324	12	whale	whale	VERB
cana-620	324	13	optimization	optimization	NOUN
cana-620	324	14	algorithm	algorithm	NOUN
cana-620	324	15	for	for	ADP
cana-620	324	16	information	information	NOUN
cana-620	324	17	exchange	exchange	NOUN
cana-620	324	18	.	.	PUNCT
cana-620	325	1	journal	journal	NOUN
cana-620	325	2	of	of	ADP
cana-620	325	3	electronics	electronic	NOUN
cana-620	325	4	and	and	CCONJ
cana-620	325	5	information	information	NOUN
cana-620	325	6	technology	technology	NOUN
cana-620	325	7	,	,	PUNCT
cana-620	325	8	43	43	NUM
cana-620	325	9	(	(	PUNCT
cana-620	325	10	11	11	NUM
cana-620	325	11	)	)	PUNCT
cana-620	325	12	,	,	PUNCT
cana-620	325	13	3247	3247	NUM
cana-620	325	14	-	-	SYM
cana-620	325	15	3256	3256	NUM
cana-620	325	16	.	.	PUNCT
cana-620	326	1	[	[	X
cana-620	326	2	19	19	NUM
cana-620	326	3	]	]	X
cana-620	326	4	huang	huang	PROPN
cana-620	326	5	fei	fei	PROPN
cana-620	326	6	.	.	PUNCT
cana-620	327	1	(	(	PUNCT
cana-620	327	2	2020	2020	NUM
cana-620	327	3	)	)	PUNCT
cana-620	327	4	.	.	PUNCT
cana-620	328	1	application	application	NOUN
cana-620	328	2	of	of	ADP
cana-620	328	3	an	an	DET
cana-620	328	4	improved	improved	ADJ
cana-620	328	5	whale	whale	NOUN
cana-620	328	6	optimization	optimization	NOUN
cana-620	328	7	algorithm	algorithm	NOUN
cana-620	328	8	in	in	ADP
cana-620	328	9	interval	interval	NOUN
cana-620	328	10	supply	supply	NOUN
cana-620	328	11	chain	chain	NOUN
cana-620	328	12	network	network	NOUN
cana-620	328	13	(	(	PUNCT
cana-620	328	14	master	master	NOUN
cana-620	328	15	's	's	PART
cana-620	328	16	thesis	thesis	NOUN
cana-620	328	17	,	,	PUNCT
cana-620	328	18	chengdu	chengdu	PROPN
cana-620	328	19	university	university	PROPN
cana-620	328	20	of	of	ADP
cana-620	328	21	information	information	NOUN
cana-620	328	22	science	science	NOUN
cana-620	328	23	and	and	CCONJ
cana-620	328	24	technology	technology	NOUN
cana-620	328	25	)	)	PUNCT
cana-620	328	26	.	.	PUNCT